«Свое» и «чужое»: Межкультурные коммуникации в полипарадигмальном аспекте: Коллектив. моногр. / Под ред. Л.А. Шкатовой; Челяб. гос. ун-т. Челябинск, 2003 185 с.
Языковая среда, с нашей точки зрения, – это духовное пространство, в котором протекает речевая деятельность говорящих. с. 20
* [ext[ссылка источник|http://vestnik.pstu.ru/get/_res/fs/file.pdf/459/%C8.%C0.+%C1%E0%F0%E8%ED%EE%E2%E0%2C+%CD.%CC.+%CD%E5%F1%F2%E5%F0%EE%E2%E0%2C+%C8.%C3.+%CE%E2%F7%E8%ED%ED%E8%EA%EE%E2%E0+++%AB%DF%C7%DB%CA%CE%C2%CE%C5+%D1%CE%C7%CD%C0%CD%C8%C5%BB%3A+%CA+%C2%CE%CF%D0%CE%D1%D3+%CE%C1+%CE%CF%D0%C5%C4%C5%CB%C5%CD%C8%C8+%C8+%C8%CD%D2%C5%D0%CF%D0%C5%D2%C0%D6%C8%C8+%D2%C5%D0%CC%C8%CD%C0file.pdf]]
* [ext[ссылка KL|https://cyberleninka.ru/article/n/yazykovoe-soznanie-k-voprosu-ob-opredelenii-i-interpretatsii-termina]]
* [ext[ссылка|адрес]]
УДК 008: 37.3
И.А. Баринова, Н.М. Нестерова
Пермский государственный технический университет
И.Г. Овчинникова
Пермский государственный университет
«ЯЗЫКОВОЕ СОЗНАНИЕ»: К ВОПРОСУ ОБ ОПРЕДЕЛЕНИИ И ИНТЕРПРЕТАЦИИ ТЕРМИНА
Рассматривается проблема определения понятия «языковое сознание». Анализируются различные подходы к пониманию данного феномена, а также имеющиеся дефиниции термина и его возможные интерпретации. Особое внимание уделяется таким свойствам языкового сознания, как диалогичность, культурная обусловленность и дискурсивность. В качестве специального предмета исследования предлагается рассматривать языковое сознание переводчика, в котором эти свойства наиболее ярко выражены.
^знание, языковое сознание, вербализация, язык, культура, мышление, межкультурная коммуникация, перевод, текст.
Термин «языковое сознание» - один из самых широко используемых в современной лингвистической литературе, но, к сожалению, нужно констатировать, что такое его частое употребление (к тому же в различных контекстах) в определенной степени девальвировало его терминологическую строгость, сделав его неопределенным и весьма расплывчатым. Совершенно права Т.В. Ушакова, когда она пишет: «Ставши в известной мере модным, данный термин в то же время остается недостаточно определенным. Ощущается потребность более ясно понять, в чем его суть, что оно высвечивает в сознании исследователя, какие возможности открывает в исследовательском поле, какие акценты ставит в поле исследовательских проблем» [29]. Трудность определения термина «языковое сознание» связана также с тем, что у него очень широкое референтное поле, однако, как отмечает Т.В. Ушакова, «при всей широте этого референтного поля понятие языкового сознания имеет свою специфику, подчеркивая момент смыкания, совокупности феномена сознания, мысли, внутреннего мира человека с внешними по отношении к нему языковыми и речевыми проявлениями» [29]. Согласно лаконичному определению С.Е. Никитиной языковое сознание -это «такое образование, где ни язык, ни мысль не существуют сами по себе,
но в качестве целостного развивающегося образования» (выделено нами. -Авт.) [17, с. 200]. Представляется, что тут мы имеем дело со своего рода парадоксом: всем очевидно, что языковое сознание как феномен, как некое «образование» существует, но точно сказать, что это такое, точно определить, что скрывается за этим столь популярным термином, далеко не просто.
Сегодня, как мы знаем, проблема языкового сознания исследуется очень активно. Словосочетание «языковое сознание» постоянно встречается в названиях как отдельных авторских работ, так и в названиях сборников [см., например, 16; 24; 25; 28; 29; 30]. Проблема языкового сознания обязательно включается в тематику симпозиумов по психолингвистике и теории коммуникации, проводимых Институтом языкознания РАН. И это вполне закономерно, так как именно представители Московской школы психолингвистики наиболее интенсивно исследуют феномен языкового сознания. Но несмотря на такое внимание исследователей, единого мнения относительно того, что следует называть «языковым сознанием», нет. В Московской школе принято определение, предложенное Е.Ф. Тарасовым, согласно которому языковое сознание - это опосредованный языком образ мира той или иной культуры, т. е. «совокупность перцептивных, концептуальных и процедурных знаний носителя культуры об объектах реального мира» [24, с. 4]. Это означает, как пишет Н.В. Уфимцева, что «знания о языке как системе социальных ориентиров являются также частью языкового сознания» [28, с. 112]. В таком случае границы языкового сознания определяются возможностью вербализации результатов актов восприятия и переработки информации. Таким образом, согласно Е.Ф. Тарасову, принадлежностью языкового сознания является все «овнешненное» содержание сознания [23]. Подробное рассмотрение определений языкового сознания и принципов его исследования можно обнаружить в работах Т.В. Ушаковой: «Мы знаем, что в принципе любое состояние нашего сознания с той или иной степенью совершенства подлежит вербальному выражению. Об этом с несомненностью свидетельствует как наша бытовая речь, так в еще большей мере произведения писателей, поэтов, литераторов, ученых, философов. Работа профессионалов слова в большой мере состоит именно в том, чтобы выразить в слове свое понимание, мысль, чувство, т.е. состояние сознания. Верно также и другое: сознание людей постоянно и на каждом шагу подвергается словесным воздействиям. Это происходит в каждодневном быту, учебном и воспитательном процессе, на ученых форумах, в политических дискуссиях и обсуждениях» [29]. Указывая на принципиальную равнозначность терминов «языковое сознание» и «речевое сознание, Т.В. Ушакова тем самым выводит содержание языкового сознания за рамки лексикона как совокупности номинативных единиц, поскольку в
речи может быть обозначен любой феномен, не имеющий специальной однословной или идиоматичной номинации. На возможность вербализации любого содержания сознания указывает и И.Н. Г орелов [6]. Напомним, что на принципиальной возможности языкового воплощения любой идеи настаивал и В. фон Гумбольдт.
Между тем Н.В. Уфимцева обращает внимание, прежде всего, на лексикализованное, т.е. обозначенное единицей лексикона, содержание сознания и изучает языковое сознание русских на материале лексических ассоциаций [27]. Разработанные Н.В. Уфимцевой принципы анализа языкового сознания позволяют моделировать актуальное состояние языкового сознания этноса и на основе данных текстов восстанавливать предшествующее состояние языкового сознания (там же). Основы такого подхода к феномену языкового сознания в отечественной науке обнаруживаем у Ю.Н. Караулова, предложившего модель языковой личности, включающую лексикон, семантикон и прагматикон [10]. Семантикон языковой личности отражает индивидуальные смыслы, активируемые единицами лексикона национального языка. Языковое сознание, насколько мы можем судить, охватывает семантикон в его отношении к лексикону: взаимосвязи лексических единиц национального языка, обусловленные личным когнитивным и коммуникативным опытом, за счет чего осуществляется «перевод» общеязыкового значения в личностный смысл. Совпадения в когнитивном и коммуникативном опыте членов языкового коллектива, определяющие сходство семантикона, обусловливают возможность реконструкции языкового сознания этноса, использующего национальный язык. Заметим, что в мировой научной традиции наиболее последовательно подобный, в целом лексикоцентрический подход реализует А. Вежбицка, рассматривающая национальную культуру и этнокультурную специфику сознания сквозь призму ключевых слов, именующих некоторые концепты и семантические примитивы [34].
Общераспространенным является положение о этноцентризме сознания как следствии взаимодействия национального языка и культуры, взаимообусловленности языка и мышления [18; 34]. И.В. Привалова в теоретико-экспериментальном исследовании этнокультурной маркированности языкового сознания стремится доказать: «Культурно-обусловленное сознание интегрирует знание о культурных предметах, а также правилах и нормах коммуникативного поведения. Этноязыковое сознание - это ансамбль когнитивно-эмотивных и аксеологических структур, национальная маркированность которых обеспечивает их вариабельность от одной культуры к другой» [18, с. 7]. Кроме того, «образ этноязыкового сознания конституируют функциональные / операциональные единицы трех
пространств: лингвистического, когнитивного, культурного. Эти пространства особым образом структурированы и состоят из функциональных единиц, каждая из которых несет отдельный квант информации» [18]. Напомним, что культурное пространство неоднородно и отнюдь не равно пространству национальной культуры. Этноязыковое сознание приравнивается к языковому сознанию, описываемому в этническом аспекте как модель языкового сознания определенного языкового коллектива, обусловленная национальной культурой. Национальный язык выступает и как средство трансляции культуры [23], и как способ вербального воплощения культурной традиции.
Между тем национальная культура неоднородна, как неоднороден национальный язык в индустриальном и постиндустриальном обществе. Этноязыковое сознание также оказывается многомерным, отражает различия субкультур и вариантов национального языка. Этноязыковое сознание представляет полилог, в котором можно обнаружить «множественность подходов, позиций, оценок, что создает основу для обмена разным содержанием и служит залогом, по М.М. Бахтину, возможности развития, создания нового содержания» [27, с. 162]. Соответственно, этноязыковое сознание интегрирует различные аксиологические системы, представленные в традиционной массовой и элитарной субкультурах [26], если допустить возможность интеграции весьма различных и зачастую противоречивых систем ценностей (в частности, ценностей традиционной и городской или массовой культуры). Напомним, что не обусловленное какой-либо из национальных культур сознание являет собой феномен более высокой степени абстракции, имеющий право на существование благодаря принадлежности каждой из культур человеческой цивилизации [14].
Помимо языкового сознания выделяют сознание коммуникативное и когнитивное [22]. Когнитивное сознание объединяет всю мыслительную деятельность человека, т.е. когнитивное сознание равно когнитивной, или интеллектуальной сфере. Коммуникативное сознание - «это совокупность коммуникативных знаний и коммуникативных механизмов, которые обеспечивают весь комплекс коммуникативной деятельности человека. Это коммуникативные установки сознания, совокупность ментальных коммуникативных категорий, а также набор принятых в обществе норм и правил коммуникации» [22]. Поскольку коммуникация предполагает знание и использование национального языка, постольку языковое сознание оказывается частью сознания коммуникативного. На наш взгляд, данные дефиниции обладают определенной ценностью, позволяя разграничивать коммуникативную и речевую компоненты при анализе языкового материала, в том числе и полученного экспериментально. Между тем, как нам кажется, апелляция к отдельности типов (модусов?) сознания, обеспечивающих
мыслительную, речевую и коммуникативную деятельность, довольно спорна. Насколько мы можем судить, разграничение коммуникативного и языкового сознания, по существу, совпадает с разграничением коммуникативной и языковой компетенции. В коммуникативное сознание, в отличие от коммуникативной компетенции, включены коммуникативные механизмы. Коммуникативные механизмы не определены, не оговаривается их отношение к механизмам речи, описанным в классической работе Н.И. Жинкина [7]. Преумножение объектов, обозначаемых термином «сознание», не способствует пониманию механизмов речи и характеристике коммуникации как формы социального взаимодействия посредством национального языка.
Как известно, определение языкового сознания предполагает разграничение содержания терминов сознание, мышление, образ (картина) мира. Рассмотрим, что эти термины обозначают. Понятия, стоящие за ними, бесспорно, взаимосвязаны, но их референтные поля различны. Так, термином сознание в отечественной научной традиции принято обозначать рефлексивную психическую деятельность, включающую перцепцию, переработку воспринятого и формирование целостной картины мира, содержащей знания и отношения, объекты и самого субъекта в отношении к ним [19; 15]. Ключевым в данном случае является понятие рефлексии, т.е. отношения субъекта к объекту: субъект включен в картину мира как наблюдатель, фиксирующий пространственные, временные и прочие характеристики объекта с определенной субъективной позиции, точки зрения. Полагаем, что интерес к языковому сознанию и его этнокультурной специфике как раз и определяется потенциальной возможностью различных позиций субъекта при обработке воспринятой информации и воплощении знаний средствами национального языка. Неслучайно исследование языкового сознания непременно затрагивает и сферу культуры, поскольку любая позиция члена социума (представителя этноса) культурно обусловлена. Однако сведение культуры только к национальной культурной традиции вряд ли оправданно.
Картина (образ) мира является одним из компонентов сознания. Это целостное и системное отражение реальности составляет основу ориентировки и планирования поведения, в том числе и коммуникативного. Картина мира неоднородна. Общепринятым является разграничение вербальной (языковой) и невербальной картины мира на основании способа кодирования информации [11]. В свою очередь, на основании способа переработки необходимой для формирования картины мира информации различают наивную и научную картины мира [11]. Наконец, в рамках языковой картины мира В.Б. Касевич предлагает выделять собственно языковую и текстовую картины мира, в зависимости от источника
поступления вербальной информации [11]. Научный образ мира представляет собой частный случай текстовой картины мира, поскольку складывается в результате восприятия и переработки информации, содержащейся в текстах, функционирующих в определенной социальной сфере [11]. Думается, что разграничение научной и наивной картин мира принципиально важно, так как научная картина мира в силу принадлежности к узкой социальной сфере и направленности на решение специфических задач стремится к нивелировке этнокультурных различий. По-видимому, языковая картина мира представляет собой, с одной стороны, результат функционирования языкового сознания, закрепленный в лексиконе и грамматике национального языка, который, напомним, не препятствует возможности вербализовать принципиально любое содержание; с другой стороны - основу для ориентировки в коммуникативной ситуации при порождении и восприятии речи.
Мышление сопряжено с сознанием, но не равноценно ему. Мышление представляет одну из высших психических функций, обеспечивающих способность перерабатывать информацию с целью решения различных задач, так или иначе связанных с постановкой вопросов и поисков ответов на них при реализации простой или сколь угодно сложной деятельности. Мышление
- необходимое условие становления сознания. Между тем мышление, в силу направленности на постановку и решение задачи, стремится освободиться от национального языка. В отечественной научной традиции, восходящей к культурно-исторической концепции Л.С. Выготского, мышление и языковую способность рассматривают в качестве сопряженных результатов социально обусловленной деятельности [5]. Слово представляет собой орудие психической деятельности - мышления. Речь наряду с вниманием, памятью и мышлением, по мнению Л. Веккера, становится сквозным психическим процессом, пронизывающим все сферы индивида: интеллектуальную
(когнитивную), волевую, эмоциональную [4]. Мышление, его различные типы (образное, операциональное, вербальное, символическое), позволяет сформировать картину мира. Различные типы мышления обеспечивают разнообразие способов переработки информации в процессе анализа актов перцепции и синтеза целостного образа мира. Таким образом, изучая языковое сознание, очень важно понимать и не смешивать описанные выше термины и стоящие за ними феномены.
Считаем также необходимым отметить, что мы намеренно оставляем в стороне обсуждение психофизиологии мышления и нейрофизиологических основ языковой (речевой) способности человека. Мы убеждены в том, что рассмотрение феномена языкового сознания не предполагает обращения к нейрофизиологии и нейропсихологии, поскольку феномен сознания
не обусловлен материальным субстратом мышления, сознания и языка -головным мозгом человека. Сознание противопоставляют бессознательному, т.е. неосознаваемому субъектом содержанию психической деятельности. Неосознаваемое психическое в психологии чаще обозначается термином «подсознание»; термин «бессознательное» многие полагают неудачным, ссылаясь на авторитет Д.Н. Узнадзе [21, с. 178]. Подсознание содержит «хорошо автоматизированные и потому переставшие осознаваться навыки и вытесненные из сферы сознания мотивационные конфликты», «глубоко усвоенные субъектом социальные нормы», «те проявления интуиции, которые не связаны с порождением новой информации» [21 , с. 180].
При изучении языкового сознания обычно ограничиваются ссылками на закрепленные в национальном языке, но неосознаваемые представления. Насколько мы можем судить, речь идет о подсознании, содержание которого в принципе может быть осознано субъектом. Исследователей языкового сознания интересуют, как это ни парадоксально, как раз противопоставленные сознанию «глубоко усвоенные субъектом социальные нормы» и «проявления интуиции». В таком случае ключевой признак сознания -рефлексивность, отношение субъекта к объекту - полагают точкой зрения, позицией наблюдателя, закрепленной в системе номинаций, прежде всего в лексиконе. Языковое сознание приравнивается к наивному (или обыденному) сознанию, оперирующему наивной картиной мира.
Если полагать, что к языковому сознанию относятся еще и психические механизмы, обеспечивающие речевую деятельность, то возникает дополнительная проблема разграничения сознания и психики применительно к языковой способности и речевой деятельности индивида. Термин «языковое сознание» используют в качестве синонима «психофизиологической речевой организации индивида» [31]. Л.В. Щерба писал о системе языковых представлений как о своеобразном индивидуальном варианте системы языка, подчеркивая социальную ценность языковой системы, описываемой лингвистами. «Психофизиологическая речевая организация» индивида, по Л.В. Щербе, является индивидуальным проявлением языковой системы. А.А. Залевская справедливо полагает, что психофизиологическая речевая организация индивида представляет собой четвертый аспект языковых явлений [8]. Думается, что языковое сознание и психофизиологическая речевая организация индивида - это терминологические сочетания, обозначающие различные феномены. Исследователи языкового сознания подчеркивают, что закрепленные в языке представления характерны для языкового коллектива. Психофизиологическая речевая организация - индивидуальное образование, которое Л.В. Щерба называет «индивиду-альным языком», анализируя отношение индивидуального языка к общена-циональному и «языкам» различных социальных групп.
Совпадение индивидуальных языков, необходимое для успешного функционирования языка национального, Л.В. Щерба объясняет социальными условиями, единством когнитивного и коммуникативного опыта. Термины «психофизиологическая речевая организация индивида» и «языковое сознание» разграничивают феномены, противопоставленные по шкале «индивидуальное -социальное».
Таким образом, языковое сознание представляет собой такой аспект изучения языкового материала, при котором язык и речевую деятельность рассматривают в качестве отражения ментальных представлений языкового коллектива, как правило, не осознаваемых носителями языка. Языковое сознание - это предмет исследования, а не объект. Языковое сознание как аспект изучения речевой деятельности не предполагает обращения к психическим механизмам ее обеспечения, поскольку механизмы не принадлежат сознанию. Единицы языкового сознания, естественно, не совпадают с языковыми единицами. За единицы сознания принимают концепты, воплощаемые в речи различными способами: словом,
словосочетанием, высказыванием. Л.В. Щерба, обсуждая словарь и грамматику, подчеркивает, что концепты «в непосредственном опыте (ни в психологическом, ни в физиологическом) нам вовсе не даны» [31, с. 28]. Иначе говоря, концепт как единица языкового сознания - результат переработки определенного опыта. Языковое сознание (сознание использующего национальный язык индивида, исследуемое в аспекте отражения национальным языком содержании актов мышления), в свою очередь, формируется у индивида в результате коммуникативного опыта, поскольку вне коммуникации освоение языка невозможно, что делает языковое сознание диалогичным и культурно обусловленным. Другими словами, если говорить о языковом сознании в этнокультурном аспекте, то можно сказать, что оно представляет собой полилог субкультур.
i
Не можете найти то, что вам нужно? Попробуйте сервис подбора литературы.
Изоморфизм строения языка и культуры подразумевает: подобно тому, как взаимодействуют варианты национального языка, взаимодействуют и субкультуры. Культура существует как традиция, к которой человек приобщается во многом посредством языка. В национальном культурном пространстве приобщение к субкультуре происходит через различные дискурсивные практики. Под дискурсивными практиками мы подразумеваем знакомство с текстами различных типов дискурса, а также общение с носителями различных культурных традиций, поддерживающих различные дискурсивные практики.
Носитель языка всегда полидискурсивен, поскольку социальное взаимодействие невозможно без вовлеченности в разные дискурсы, знакомство с разными культурно и исторически обусловленными типами ментальности.
Мера вовлеченности в разные дискурсы может варьировать от полного отторжения «чужого» дискурса до дискурсивной толерантности и способности определять и оценивать различия в ментальностях. Поскольку дискурс как правила организации коммуникации (как игры) [1] не ограничен пределами национального языка, постольку полидискурсивность не ограничена языковым сознанием, обусловлена способностью перерабатывать не только
вербализованные знания. На полилог культур оказывает влияние
цивилизационный фактор. Иначе говоря, диалогичность языкового сознания предопределена все тем же трехмерным пространством: когнитивное,
коммуникативное, языковое. Когнитивная координата проявляется как ментальность, обусловленная единством отраженного множеством языков разума [1]. Коммуникативная координата организована как дискурсивная практика, как правила организации коммуникации. И только языковая координата непосредственно обусловлена национальным языком. В таком случае коммуникация посредством национального языка так же по сути своей оказывается межкультурной коммуникацией. В частности, В.В. Красных выделяет диахронный и синхронный контексты культурной полифонии и рассматривает коммуникацию между поколениями (диахронный контекст) и коммуникацию в полиэтничном социуме (синхронный контекст) как варианты межкультурной коммуникации [12]. В качестве аргумента межкультурного характера коммуникации между носителями одного национального языка можно рассматривать универсальность расслоения любого национального языка на элитарный (литературный, книжный), разговорный (просторечие - «язык улицы») варианты и диалекты [3; 26]. Любой языковой коллектив в процессе социального взаимодействия «отрабатывает» правила, приемлемые в различных коммуникативных
ситуациях, и варьирует языковые средства, используемые в соответствии с правилами. Члены языкового коллектива в большинстве своем так или иначе владеют несколькими вариантами национального языка, что, соответственно, отражается на содержании языкового сознания, делая его полидискурсивным и поликультурным.
С этой точки зрения особо интересным для изучения языкового сознания является сознание переводчика. Совершенно прав Е.Ф. Тарасов, когда он говорит, что именно межкультурное общение открывает новые возможности для исследования языкового сознания. По его мнению, межкультурное общение — это «новая и многообещающая онтология анализа языкового сознания, ставящая новые теоретические проблемы и требующая их решения» [25]. Говоря о новых проблемах, ученый имеет в виду проблему «общения носителей разных национальных сознаний». Здесь он видит новые перспективы в изучении взаимопонимания в процессе
межкультурной коммуникации. Нам же представляется, что особый интерес может представлять личность переводчика, точнее, его языковое сознание, поскольку если в языковом сознании монолингва «взаимодействуют» варианты одного языка и субкультуры, принадлежащие к одной национальной культуре, то в языковом сознании переводчика-билингва (мультилингва) сталкиваются или взаимодействуют варианты не одного национального языка, а также субкультуры не одной культуры.
Более тридцати лет назад немецкий исследователь перевода Г ерт Йегер определил перевод как вид межъязыковой коммуникации, специфика которого заключается в том, что в отличие от других ситуаций межъязыкового общения перевод является не непосредственным общением, а опосредованным. Это означает, что общающиеся личности контактируют через посредника, коим является переводчик. Ситуации такого общения могут быть самыми разнообразными: от живого неформального диалога двух людей, носителей различных языков, до сложного творческого коммуникативного процесса, примером которого можно считать перевод текстов, принадлежащих далекой (хронологически и типологически) культуре.
В случае такого опосредованного общения возникает дополнительная проблема, связанная с этнопсихолингвистическим различием языковых сознаний участников коммуникативного акта, в котором переводчик должен обеспечить общение и взаимопонимание тех самых разных национальных сознаний. Для этого необходимо, чтобы в сознании переводчика состоялся межъязыковой и межкультурный диалог (точнее, полилог), сопровождающийся неоднократными кодовыми переключениями, другими словами, должна иметь место достаточно сложная автокоммуникация. Представляется, что диалогичность, поликультурность и подискурсивность как онтологические свойства языкового сознания являются особо значимыми для сознания переводчика, и если исходить из того, что текст является «овнешнением» содержания языкового сознания, тогда сопоставление текстов оригинала и перевода может дать исследователям картину соотношения универсального, национального и индивидуального в содержании языкового сознания переводчика как билингвальной личности. Инструментом исследования могут послужить как корпус параллельных текстов, включающий оригиналы и варианты переводов, выполненных различными переводчиками и одним переводчиком в разное время, а также корпус переводческих ошибок.
Особый интерес для исследования содержания языкового сознания должен представляет автоперевод, когда писатель-билингв выступает в роли переводчика собственных произведений. В данном случае автопереревод можно рассматривать как рефлексию билингвального и бикультурного
сознания. Таким образом, считаем, что перевод - это идеальный объект для изучения специфики индивидуального и национального языкового сознания.
В заключение хотим отметить, что рассмотренные выше подходы к пониманию феномена языкового сознания возникли на стыке лингвистики и психологии, психолингвистики и когнитивистики. Однако если обратиться к современной философии постмодерна, то здесь ответом на вопрос о том, что скрывается за термином «языковое сознание», будет «текст». Такой ответ продиктован панъязыковой концепцией мира и сознания, нашедшей выражение во «всеобщей текстуализации» (текстуализация - термин М. Фуко). Сегодня хорошо известны слова Ж. Деррида, ставшие максимой постструктурализма: «ничего не существует вне текста» [33, с. 158]. Это означает, все мы находимся внутри текста, а мир - это безграничный текст, некая «космическая библиотека» (В. Лейч), или «словарь» и «энциклопедия» (У. Эко) [9]. Текстом является и наше сознание.
Список литературы
1. Апель К.-О. Трансформация философии. - М.: Логос, 2001.
2. Апресян Ю.Д. Лексическая семантика. Синонимические средства языка. - М.: Наука, 1974.
3. Бюлер К. Теория языка. - М.: Прогресс, 2001.
4. Веккер Л.М. Психика и реальность: единая теория психических процессов. - М.: Смысл, 2001.
5. Выготский Л.С. Мышление и речь.. - М.: Лабиринт, 1999.
6. Горелов И.Н. Невербальные компоненты коммуникации. - М., 2009.
7. Жинкин Н.И. Язык. Речь. Творчество: Исследования по семантике, психолингвистике, поэтике. - М.: Лабиринт, 1998.
8. Залевская А.А. Введение в психолингвистику: учебник. - М.: Изд-во РГГУ, 1999.
9. Ильин И.П. Постмодернизм. Словарь терминов. - М.: Интрада, 2001.
10. Караулов Ю.Н. Русский язык и языковая личность. - М.: УРСС, 2003.
11. Касевич В.Б. Буддизм. Картина мира, язык. - СПб.: Центр «Петербургское востоковедение», 1996.
12. Красных В.В. «Свой» среди «чужих» - миф или реальность. - М.: Гнозис, 2003.
13. Крысин Л.П. Русское слово свое и чужое. - М.: Языки славянской культуры, 2004.
14. Леви-Стросс К. Первобытное мышление. - М.: Республика, 1994.
15. Леонтьев А.Н. Деятельность. Сознание. Личность. - М.: Политиздат, 1975.
i
Не можете найти то, что вам нужно? Попробуйте сервис подбора литературы.
```
16. Леонтьев А.А. Языковое сознание и образ мира // Язык и сознание: парадоксальная рациональность. - М., 1993. - С. 16-21.
17. Никитина С.Е. Генетический метод анализ сознания в психолингвистике // Речевая деятельность. Языковое сознание. Общающиеся личности: матер. XV Междунар. симп. по психолингвистике и теории коммуникации. - М.; Калуга, 2006. - С. 199-201.
```
18. Привалова И.В. Национально-культурная специфика ценностных доминант рекламного дискурса // Язык, сознание, коммуникация. - М., 2003.
- Вып. 25. - С. 97-101.
19. Рубинштейн С.Л. Основы общей психологии. - СПб.: Питер, 2005.
20. Седов К.Ф. Человек в жанровом пространстве повседневной коммуникации // Антология речевых жанров. - М.: Лабиринт, 2007. - С. 7-38.
21. Симонов П.Н. Мотивированный мозг. Высшая нервная деятельность и естественнонаучные основы общей психологии. - М.: Наука, 1987.
22. Стернин И.А. Коммуникативное и когнитивное сознание / С любовью к языку. - М.-Воронеж: Изд-во ВГУ, 2002. - С. 44-51.
23. Тарасов Е.Ф. Язык как средство трансляции культуры // Язык как средство трансляции культуры. - М.: Наука, 2000. - С. 45-53.
24. Тарасов Е.Ф. Языковое сознание - перспективы исследования // Языковое сознание: содержание и функционирование: матер. XIII Междунар. симп. по психолингвистике и теории коммуникации. - М, 2000. - С. 3-4.
25. Тарасов Е.Ф. Межкультурное общение - новая онтология анализа
языкового сознания [Электронный ресурс]. - URL: http://www.ilmg-
ran.ru/library/psylingva/sbomiki/ Book 1996/index.htm.
26. Толстой Н.И. Язык и народная культура. Очерки по славянской мифологии и этнолингвистике. - М.: Индрика, 1995.
27. Уфимцева Н.В. Взаимодействие культур и языков: теория
и методология // Встречи этнических культур в зеркале языка. - М.: Наука, 2002.- С. 152-170.
28. Уфимцева Н.В. Язык, языковое сознание и образ мира // ... Слово отзовется: памяти Аллы Соломоновны Штерн и Леонида Вольковича Сахарного. - Пермь: Изд-во Перм. гос. ун-та, 2006. - С. 112-114.
29. Ушакова Т.В. Языковое сознание и принципы его исследования
[Электронный ресурс]. - URL: http://www.iling-ran.ru/library/psylingva/
sbomiki/Book2000/html_204/1-2.html.
30. Ушакова Т.В. Понятие языкового сознания и структура
речемыслительной деятельности // Языковое сознание: теоретические
и прикладные аспекты. - М.; Барнаул: Изд-во ИЯ РАН, 2004. - С. 6-17.
31. Щерба Л.В. Языковая система и речевая деятельность. - Л.: Наука, 1974.
32. Якобсон Р. О лингвистических аспектах перевода // Избранные работы. - М.: Прогресс, 1985.
33. Derrida J. Of Grammatology. - Baltimore, 1976.
34. Wierzbizcka A. Understanding Cultures through Their Key Words: English, Russian, Polish, German and Japanese. - New York: Oxford University Press, 1997.
Получено 04.10.2010
{
"tiddlers": {
"$:/Acknowledgements": {
"title": "$:/Acknowledgements",
"text": "TiddlyWiki incorporates code from these fine OpenSource projects:\n\n* [[The Stanford Javascript Crypto Library|http://bitwiseshiftleft.github.io/sjcl/]]\n* [[The Jasmine JavaScript Test Framework|http://pivotal.github.io/jasmine/]]\n* [[Normalize.css by Nicolas Gallagher|http://necolas.github.io/normalize.css/]]\n\nAnd media from these projects:\n\n* World flag icons from [[Wikipedia|http://commons.wikimedia.org/wiki/Category:SVG_flags_by_country]]\n"
},
"$:/core/copyright.txt": {
"title": "$:/core/copyright.txt",
"type": "text/plain",
"text": "TiddlyWiki created by Jeremy Ruston, (jeremy [at] jermolene [dot] com)\n\nCopyright (c) 2004-2007, Jeremy Ruston\nCopyright (c) 2007-2020, UnaMesa Association\nAll rights reserved.\n\nRedistribution and use in source and binary forms, with or without\nmodification, are permitted provided that the following conditions are met:\n\n* Redistributions of source code must retain the above copyright notice, this\n list of conditions and the following disclaimer.\n\n* Redistributions in binary form must reproduce the above copyright notice,\n this list of conditions and the following disclaimer in the documentation\n and/or other materials provided with the distribution.\n\n* Neither the name of the copyright holder nor the names of its\n contributors may be used to endorse or promote products derived from\n this software without specific prior written permission.\n\nTHIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS 'AS IS'\nAND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\nIMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\nDISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE\nFOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL\nDAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR\nSERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER\nCAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,\nOR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE\nOF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE."
},
"$:/core/icon": {
"title": "$:/core/icon",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\"><path d=\"M64 0l54.56 32v64L64 128 9.44 96V32L64 0zm21.127 95.408c-3.578-.103-5.15-.094-6.974-3.152l-1.42.042c-1.653-.075-.964-.04-2.067-.097-1.844-.07-1.548-1.86-1.873-2.8-.52-3.202.687-6.43.65-9.632-.014-1.14-1.593-5.17-2.157-6.61-1.768.34-3.546.406-5.34.497-4.134-.01-8.24-.527-12.317-1.183-.8 3.35-3.16 8.036-1.21 11.44 2.37 3.52 4.03 4.495 6.61 4.707 2.572.212 3.16 3.18 2.53 4.242-.55.73-1.52.864-2.346 1.04l-1.65.08c-1.296-.046-2.455-.404-3.61-.955-1.93-1.097-3.925-3.383-5.406-5.024.345.658.55 1.938.24 2.53-.878 1.27-4.665 1.26-6.4.47-1.97-.89-6.73-7.162-7.468-11.86 1.96-3.78 4.812-7.07 6.255-11.186-3.146-2.05-4.83-5.384-4.61-9.16l.08-.44c-3.097.59-1.49.37-4.82.628-10.608-.032-19.935-7.37-14.68-18.774.34-.673.664-1.287 1.243-.994.466.237.4 1.18.166 2.227-3.005 13.627 11.67 13.732 20.69 11.21.89-.25 2.67-1.936 3.905-2.495 2.016-.91 4.205-1.282 6.376-1.55 5.4-.63 11.893 2.276 15.19 2.37 3.3.096 7.99-.805 10.87-.615 2.09.098 4.143.483 6.16 1.03 1.306-6.49 1.4-11.27 4.492-12.38 1.814.293 3.213 2.818 4.25 4.167 2.112-.086 4.12.46 6.115 1.066 3.61-.522 6.642-2.593 9.833-4.203-3.234 2.69-3.673 7.075-3.303 11.127.138 2.103-.444 4.386-1.164 6.54-1.348 3.507-3.95 7.204-6.97 7.014-1.14-.036-1.805-.695-2.653-1.4-.164 1.427-.81 2.7-1.434 3.96-1.44 2.797-5.203 4.03-8.687 7.016-3.484 2.985 1.114 13.65 2.23 15.594 1.114 1.94 4.226 2.652 3.02 4.406-.37.58-.936.785-1.54 1.01l-.82.11zm-40.097-8.85l.553.14c.694-.27 2.09.15 2.83.353-1.363-1.31-3.417-3.24-4.897-4.46-.485-1.47-.278-2.96-.174-4.46l.02-.123c-.582 1.205-1.322 2.376-1.72 3.645-.465 1.71 2.07 3.557 3.052 4.615l.336.3z\" fill-rule=\"evenodd\"/></svg>"
},
"$:/core/images/add-comment": {
"title": "$:/core/images/add-comment",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-add-comment tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M56 56H36a8 8 0 100 16h20v20a8 8 0 1016 0V72h20a8 8 0 100-16H72V36a8 8 0 10-16 0v20zm-12.595 58.362c-6.683 7.659-20.297 12.903-36.006 12.903-2.196 0-4.35-.102-6.451-.3 9.652-3.836 17.356-12.24 21.01-22.874C8.516 94.28 0 79.734 0 63.5 0 33.953 28.206 10 63 10s63 23.953 63 53.5S97.794 117 63 117c-6.841 0-13.428-.926-19.595-2.638z\"/></svg>"
},
"$:/core/images/advanced-search-button": {
"title": "$:/core/images/advanced-search-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-advanced-search-button tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><path d=\"M74.565 87.985A47.776 47.776 0 0148 96C21.49 96 0 74.51 0 48S21.49 0 48 0s48 21.49 48 48c0 9.854-2.97 19.015-8.062 26.636l34.347 34.347a9.443 9.443 0 010 13.36 9.446 9.446 0 01-13.36 0l-34.36-34.358zM48 80c17.673 0 32-14.327 32-32 0-17.673-14.327-32-32-32-17.673 0-32 14.327-32 32 0 17.673 14.327 32 32 32z\"/><circle cx=\"48\" cy=\"48\" r=\"8\"/><circle cx=\"28\" cy=\"48\" r=\"8\"/><circle cx=\"68\" cy=\"48\" r=\"8\"/></g></svg>"
},
"$:/core/images/auto-height": {
"title": "$:/core/images/auto-height",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-auto-height tc-image-button\" viewBox=\"0 0 128 128\"><path d=\"M67.987 114.356l-.029-14.477a4 4 0 00-2.067-3.494l-15.966-8.813-1.933 7.502H79.9c4.222 0 5.564-5.693 1.786-7.58L49.797 71.572 48.01 79.15h31.982c4.217 0 5.564-5.682 1.795-7.575L49.805 55.517l-1.795 7.575h31.982c4.212 0 5.563-5.67 1.805-7.57l-16.034-8.105 2.195 3.57V35.614l9.214 9.213a4 4 0 105.656-5.656l-16-16a4 4 0 00-5.656 0l-16 16a4 4 0 105.656 5.656l9.13-9.13v15.288a4 4 0 002.195 3.57l16.035 8.106 1.804-7.57H48.01c-4.217 0-5.564 5.682-1.795 7.574l31.982 16.059 1.795-7.575H48.01c-4.222 0-5.564 5.693-1.787 7.579l31.89 15.923 1.787-7.578H47.992c-4.133 0-5.552 5.504-1.933 7.501l15.966 8.813-2.067-3.494.029 14.436-9.159-9.158a4 4 0 00-5.656 5.656l16 16a4 4 0 005.656 0l16-16a4 4 0 10-5.656-5.656l-9.185 9.184zM16 20h96a4 4 0 100-8H16a4 4 0 100 8z\"/></svg>"
},
"$:/core/images/blank": {
"title": "$:/core/images/blank",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-blank tc-image-button\" viewBox=\"0 0 128 128\"/>"
},
"$:/core/images/bold": {
"title": "$:/core/images/bold",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-bold tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M41.146 51.81V21.87h26.353c2.51 0 4.93.21 7.26.628 2.33.418 4.392 1.165 6.185 2.24 1.793 1.076 3.227 2.57 4.302 4.482 1.076 1.913 1.614 4.363 1.614 7.35 0 5.379-1.613 9.263-4.84 11.653-3.227 2.39-7.35 3.586-12.37 3.586H41.146zM13 0v128h62.028a65.45 65.45 0 0016.762-2.151c5.438-1.434 10.278-3.645 14.52-6.633 4.244-2.988 7.62-6.842 10.13-11.563 2.51-4.721 3.764-10.308 3.764-16.762 0-8.008-1.942-14.85-5.826-20.527-3.884-5.677-9.77-9.65-17.658-11.921 5.737-2.75 10.069-6.275 12.997-10.577 2.928-4.303 4.392-9.681 4.392-16.135 0-5.976-.986-10.995-2.958-15.059-1.972-4.063-4.75-7.32-8.336-9.77-3.585-2.45-7.888-4.213-12.907-5.289C84.888.538 79.33 0 73.235 0H13zm28.146 106.129V70.992H71.8c6.095 0 10.995 1.404 14.7 4.212 3.705 2.81 5.558 7.5 5.558 14.073 0 3.347-.568 6.096-1.703 8.247-1.136 2.151-2.66 3.854-4.572 5.11-1.912 1.254-4.123 2.15-6.633 2.688-2.51.538-5.139.807-7.888.807H41.146z\"/></svg>"
},
"$:/core/images/cancel-button": {
"title": "$:/core/images/cancel-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-cancel-button tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M64 76.314l-16.97 16.97a7.999 7.999 0 01-11.314 0c-3.118-3.118-3.124-8.19 0-11.313L52.686 65l-16.97-16.97a7.999 7.999 0 010-11.314c3.118-3.118 8.19-3.124 11.313 0L64 53.686l16.97-16.97a7.999 7.999 0 0111.314 0c3.118 3.118 3.124 8.19 0 11.313L75.314 65l16.97 16.97a7.999 7.999 0 010 11.314c-3.118 3.118-8.19 3.124-11.313 0L64 76.314zM64 129c35.346 0 64-28.654 64-64 0-35.346-28.654-64-64-64C28.654 1 0 29.654 0 65c0 35.346 28.654 64 64 64zm0-16c26.51 0 48-21.49 48-48S90.51 17 64 17 16 38.49 16 65s21.49 48 48 48z\"/></svg>"
},
"$:/core/images/chevron-down": {
"title": "$:/core/images/chevron-down",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-chevron-down tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><path d=\"M64.053 85.456a7.889 7.889 0 01-5.6-2.316L2.473 27.16a7.92 7.92 0 010-11.196c3.086-3.085 8.105-3.092 11.196 0L64.05 66.344l50.382-50.382a7.92 7.92 0 0111.195 0c3.085 3.086 3.092 8.105 0 11.196l-55.98 55.98a7.892 7.892 0 01-5.595 2.317z\"/><path d=\"M64.053 124.069a7.889 7.889 0 01-5.6-2.316l-55.98-55.98a7.92 7.92 0 010-11.196c3.086-3.085 8.105-3.092 11.196 0l50.382 50.382 50.382-50.382a7.92 7.92 0 0111.195 0c3.085 3.086 3.092 8.104 0 11.196l-55.98 55.98a7.892 7.892 0 01-5.595 2.316z\"/></g></svg>"
},
"$:/core/images/chevron-left": {
"title": "$:/core/images/chevron-left",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-chevron-left tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><path d=\"M47.544 64.053c0-2.027.77-4.054 2.316-5.6l55.98-55.98a7.92 7.92 0 0111.196 0c3.085 3.086 3.092 8.105 0 11.196L66.656 64.05l50.382 50.382a7.92 7.92 0 010 11.195c-3.086 3.085-8.105 3.092-11.196 0l-55.98-55.98a7.892 7.892 0 01-2.317-5.595z\"/><path d=\"M8.931 64.053c0-2.027.77-4.054 2.316-5.6l55.98-55.98a7.92 7.92 0 0111.196 0c3.085 3.086 3.092 8.105 0 11.196L28.041 64.05l50.382 50.382a7.92 7.92 0 010 11.195c-3.086 3.085-8.104 3.092-11.196 0l-55.98-55.98a7.892 7.892 0 01-2.316-5.595z\"/></g></svg>"
},
"$:/core/images/chevron-right": {
"title": "$:/core/images/chevron-right",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-chevron-right tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><path d=\"M83.456 63.947c0 2.027-.77 4.054-2.316 5.6l-55.98 55.98a7.92 7.92 0 01-11.196 0c-3.085-3.086-3.092-8.105 0-11.196L64.344 63.95 13.963 13.567a7.92 7.92 0 010-11.195c3.086-3.085 8.105-3.092 11.196 0l55.98 55.98a7.892 7.892 0 012.317 5.595z\"/><path d=\"M122.069 63.947c0 2.027-.77 4.054-2.316 5.6l-55.98 55.98a7.92 7.92 0 01-11.196 0c-3.085-3.086-3.092-8.105 0-11.196l50.382-50.382-50.382-50.382a7.92 7.92 0 010-11.195c3.086-3.085 8.104-3.092 11.196 0l55.98 55.98a7.892 7.892 0 012.316 5.595z\"/></g></svg>"
},
"$:/core/images/chevron-up": {
"title": "$:/core/images/chevron-up",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-chevron-up tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><path d=\"M63.947 44.544c2.027 0 4.054.77 5.6 2.316l55.98 55.98a7.92 7.92 0 010 11.196c-3.086 3.085-8.105 3.092-11.196 0L63.95 63.656l-50.382 50.382a7.92 7.92 0 01-11.195 0c-3.085-3.086-3.092-8.105 0-11.196l55.98-55.98a7.892 7.892 0 015.595-2.317z\"/><path d=\"M63.947 5.931c2.027 0 4.054.77 5.6 2.316l55.98 55.98a7.92 7.92 0 010 11.196c-3.086 3.085-8.105 3.092-11.196 0L63.95 25.041 13.567 75.423a7.92 7.92 0 01-11.195 0c-3.085-3.086-3.092-8.104 0-11.196l55.98-55.98a7.892 7.892 0 015.595-2.316z\"/></g></svg>"
},
"$:/core/images/clone-button": {
"title": "$:/core/images/clone-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-clone-button tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><path d=\"M32.265 96v24.002A7.996 7.996 0 0040.263 128h79.74a7.996 7.996 0 007.997-7.998v-79.74a7.996 7.996 0 00-7.998-7.997H96V48h12.859a2.99 2.99 0 012.994 2.994v57.865a2.99 2.99 0 01-2.994 2.994H50.994A2.99 2.99 0 0148 108.859V96H32.265z\"/><path d=\"M40 56h-7.993C27.588 56 24 52.418 24 48c0-4.41 3.585-8 8.007-8H40v-7.993C40 27.588 43.582 24 48 24c4.41 0 8 3.585 8 8.007V40h7.993C68.412 40 72 43.582 72 48c0 4.41-3.585 8-8.007 8H56v7.993C56 68.412 52.418 72 48 72c-4.41 0-8-3.585-8-8.007V56zM8 0C3.58 0 0 3.588 0 8v80c0 4.419 3.588 8 8 8h80c4.419 0 8-3.588 8-8V8c0-4.419-3.588-8-8-8H8zM19 16A2.997 2.997 0 0016 19.001v57.998A2.997 2.997 0 0019.001 80h57.998A2.997 2.997 0 0080 76.999V19.001A2.997 2.997 0 0076.999 16H19.001z\"/></g></svg>"
},
"$:/core/images/close-all-button": {
"title": "$:/core/images/close-all-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-close-all-button tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><path d=\"M28 111.314l-14.144 14.143a8 8 0 01-11.313-11.313L16.686 100 2.543 85.856a8 8 0 0111.313-11.313L28 88.686l14.144-14.143a8 8 0 0111.313 11.313L39.314 100l14.143 14.144a8 8 0 01-11.313 11.313L28 111.314zM28 39.314L13.856 53.457A8 8 0 012.543 42.144L16.686 28 2.543 13.856A8 8 0 0113.856 2.543L28 16.686 42.144 2.543a8 8 0 0111.313 11.313L39.314 28l14.143 14.144a8 8 0 01-11.313 11.313L28 39.314zM100 39.314L85.856 53.457a8 8 0 01-11.313-11.313L88.686 28 74.543 13.856A8 8 0 0185.856 2.543L100 16.686l14.144-14.143a8 8 0 0111.313 11.313L111.314 28l14.143 14.144a8 8 0 01-11.313 11.313L100 39.314zM100 111.314l-14.144 14.143a8 8 0 01-11.313-11.313L88.686 100 74.543 85.856a8 8 0 0111.313-11.313L100 88.686l14.144-14.143a8 8 0 0111.313 11.313L111.314 100l14.143 14.144a8 8 0 01-11.313 11.313L100 111.314z\"/></g></svg>"
},
"$:/core/images/close-button": {
"title": "$:/core/images/close-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-close-button tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M65.086 75.41l-50.113 50.113c-3.121 3.121-8.192 3.126-11.316.002-3.118-3.118-3.123-8.19.002-11.316l50.114-50.114L3.659 13.982C.538 10.86.533 5.79 3.657 2.666c3.118-3.118 8.19-3.123 11.316.002l50.113 50.114L115.2 2.668c3.121-3.121 8.192-3.126 11.316-.002 3.118 3.118 3.123 8.19-.002 11.316L76.4 64.095l50.114 50.114c3.121 3.121 3.126 8.192.002 11.316-3.118 3.118-8.19 3.123-11.316-.002L65.086 75.409z\"/></svg>"
},
"$:/core/images/close-others-button": {
"title": "$:/core/images/close-others-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-close-others-button tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M64 128c35.346 0 64-28.654 64-64 0-35.346-28.654-64-64-64C28.654 0 0 28.654 0 64c0 35.346 28.654 64 64 64zm0-16c26.51 0 48-21.49 48-48S90.51 16 64 16 16 37.49 16 64s21.49 48 48 48zm0-16c17.673 0 32-14.327 32-32 0-17.673-14.327-32-32-32-17.673 0-32 14.327-32 32 0 17.673 14.327 32 32 32zm0-16c8.837 0 16-7.163 16-16s-7.163-16-16-16-16 7.163-16 16 7.163 16 16 16z\"/></svg>"
},
"$:/core/images/copy-clipboard": {
"title": "$:/core/images/copy-clipboard",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-copy-clipboard tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><rect width=\"33\" height=\"8\" x=\"40\" y=\"40\" rx=\"4\"/><rect width=\"17\" height=\"8\" x=\"40\" y=\"82\" rx=\"4\"/><rect width=\"17\" height=\"8\" x=\"40\" y=\"54\" rx=\"4\"/><rect width=\"33\" height=\"8\" x=\"40\" y=\"96\" rx=\"4\"/><rect width=\"12\" height=\"8\" x=\"40\" y=\"68\" rx=\"4\"/><path d=\"M40 16H24c-4.419 0-8 3.59-8 8a8.031 8.031 0 000 .01v95.98a8.03 8.03 0 000 .01c0 4.41 3.581 8 8 8h80a7.975 7.975 0 005.652-2.34 7.958 7.958 0 002.348-5.652v-16.016c0-4.414-3.582-7.992-8-7.992-4.41 0-8 3.578-8 7.992V112H32V32h64v8.008C96 44.422 99.582 48 104 48c4.41 0 8-3.578 8-7.992V23.992a7.963 7.963 0 00-2.343-5.651A7.995 7.995 0 00104.001 16H88c0-4.41-3.585-8-8.007-8H48.007C43.588 8 40 11.582 40 16zm4-1.004A4.001 4.001 0 0148 11h32c2.21 0 4 1.797 4 3.996v4.008A4.001 4.001 0 0180 23H48c-2.21 0-4-1.797-4-3.996v-4.008z\"/><rect width=\"66\" height=\"16\" x=\"62\" y=\"64\" rx=\"8\"/><path d=\"M84.657 82.343l-16-16v11.314l16-16a8 8 0 10-11.314-11.314l-16 16a8 8 0 000 11.314l16 16a8 8 0 1011.314-11.314z\"/></g></svg>"
},
"$:/core/images/delete-button": {
"title": "$:/core/images/delete-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-delete-button tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\" transform=\"translate(12)\"><rect width=\"105\" height=\"16\" y=\"11\" rx=\"8\"/><rect width=\"48\" height=\"16\" x=\"28\" rx=\"8\"/><rect width=\"16\" height=\"112\" x=\"8\" y=\"16\" rx=\"8\"/><rect width=\"88\" height=\"16\" x=\"8\" y=\"112\" rx=\"8\"/><rect width=\"16\" height=\"112\" x=\"80\" y=\"16\" rx=\"8\"/><rect width=\"16\" height=\"112\" x=\"56\" y=\"16\" rx=\"8\"/><rect width=\"16\" height=\"112\" x=\"32\" y=\"16\" rx=\"8\"/></g></svg>"
},
"$:/core/images/done-button": {
"title": "$:/core/images/done-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-done-button tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M42.26 111.032c-2.051.001-4.103-.78-5.668-2.345L2.662 74.758a8 8 0 01-.005-11.32c3.118-3.117 8.192-3.12 11.32.007l28.278 28.278 72.124-72.124a8.002 8.002 0 0111.314-.001c3.118 3.118 3.124 8.19 0 11.315l-77.78 77.78a7.978 7.978 0 01-5.658 2.343z\"/></svg>"
},
"$:/core/images/down-arrow": {
"title": "$:/core/images/down-arrow",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-down-arrow tc-image-button\" viewBox=\"0 0 128 128\"><path d=\"M64.177 100.069a7.889 7.889 0 01-5.6-2.316l-55.98-55.98a7.92 7.92 0 010-11.196c3.086-3.085 8.105-3.092 11.196 0l50.382 50.382 50.382-50.382a7.92 7.92 0 0111.195 0c3.086 3.086 3.092 8.104 0 11.196l-55.98 55.98a7.892 7.892 0 01-5.595 2.316z\"/></svg>"
},
"$:/core/images/download-button": {
"title": "$:/core/images/download-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-download-button tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><path d=\"M64 128c35.346 0 64-28.654 64-64 0-35.346-28.654-64-64-64C28.654 0 0 28.654 0 64c0 35.346 28.654 64 64 64zm0-16c26.51 0 48-21.49 48-48S90.51 16 64 16 16 37.49 16 64s21.49 48 48 48z\" class=\"tc-image-download-button-ring\"/><path d=\"M34.35 66.43l26.892 27.205a4.57 4.57 0 006.516 0L94.65 66.43a4.7 4.7 0 000-6.593 4.581 4.581 0 00-3.258-1.365h-8.46c-2.545 0-4.608-2.087-4.608-4.661v-15.15c0-2.575-2.063-4.662-4.608-4.662H55.284c-2.545 0-4.608 2.087-4.608 4.662v15.15c0 2.574-2.063 4.661-4.608 4.661h-8.46c-2.545 0-4.608 2.087-4.608 4.662a4.69 4.69 0 001.35 3.296z\"/></g></svg>"
},
"$:/core/images/edit-button": {
"title": "$:/core/images/edit-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-edit-button tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><path d=\"M95.627 10.059l-5.656 5.657 11.313 11.313 5.657-5.656-11.314-11.314zm5.657-5.657l1.966-1.966c3.123-3.122 8.194-3.129 11.319-.005 3.117 3.118 3.122 8.192-.005 11.32l-1.966 1.965-11.314-11.314zm-16.97 16.97l-60.25 60.25a8.12 8.12 0 00-.322.342c-.1.087-.198.179-.295.275-5.735 5.735-10.702 22.016-10.702 22.016s16.405-5.09 22.016-10.702c.095-.096.186-.193.272-.292a8.12 8.12 0 00.345-.325l60.25-60.25-11.314-11.313zM35.171 124.19c6.788-.577 13.898-2.272 23.689-5.348 1.825-.573 3.57-1.136 6.336-2.04 16-5.226 21.877-6.807 28.745-7.146 8.358-.413 13.854 2.13 17.58 8.699a4 4 0 006.959-3.946c-5.334-9.406-13.745-13.296-24.933-12.744-7.875.39-14.057 2.052-30.835 7.533-2.739.894-4.46 1.45-6.25 2.012-19.46 6.112-30.77 7.072-39.597 1.747a4 4 0 10-4.132 6.85c6.333 3.82 13.754 5.12 22.438 4.383z\"/></g></svg>"
},
"$:/core/images/erase": {
"title": "$:/core/images/erase",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-erase tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M60.087 127.996l63.015-63.015c6.535-6.535 6.528-17.115-.003-23.646L99.466 17.702c-6.539-6.538-17.117-6.532-23.646-.003L4.898 88.62c-6.535 6.534-6.528 17.115.003 23.646l15.73 15.73h39.456zm-34.95-7.313l-14.324-14.325c-3.267-3.268-3.268-8.564-.008-11.824L46.269 59.07l35.462 35.462-26.15 26.15H25.137z\"/></svg>"
},
"$:/core/images/excise": {
"title": "$:/core/images/excise",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-excise tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M56 107.314l-2.343 2.343a8 8 0 11-11.314-11.314l16-16a8 8 0 0111.314 0l16 16a8 8 0 11-11.314 11.314L72 107.314v14.284c0 3.536-3.582 6.402-8 6.402s-8-2.866-8-6.402v-14.284zM0 40.007C0 35.585 3.59 32 8 32c4.418 0 8 3.588 8 8.007v31.986C16 76.415 12.41 80 8 80c-4.418 0-8-3.588-8-8.007V40.007zm32 0C32 35.585 35.59 32 40 32c4.418 0 8 3.588 8 8.007v31.986C48 76.415 44.41 80 40 80c-4.418 0-8-3.588-8-8.007V40.007zm48 0C80 35.585 83.59 32 88 32c4.418 0 8 3.588 8 8.007v31.986C96 76.415 92.41 80 88 80c-4.418 0-8-3.588-8-8.007V40.007zm-24-32C56 3.585 59.59 0 64 0c4.418 0 8 3.588 8 8.007v31.986C72 44.415 68.41 48 64 48c-4.418 0-8-3.588-8-8.007V8.007zm56 32c0-4.422 3.59-8.007 8-8.007 4.418 0 8 3.588 8 8.007v31.986c0 4.422-3.59 8.007-8 8.007-4.418 0-8-3.588-8-8.007V40.007z\"/></svg>"
},
"$:/core/images/export-button": {
"title": "$:/core/images/export-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-export-button tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M8.003 128H119.993a7.984 7.984 0 005.664-2.349v.007A7.975 7.975 0 00128 120V56c0-4.418-3.59-8-8-8-4.418 0-8 3.58-8 8v56H16V56c0-4.418-3.59-8-8-8-4.418 0-8 3.58-8 8v64c0 4.418 3.59 8 8 8h.003zm48.62-100.689l-8.965 8.966c-3.125 3.125-8.195 3.13-11.319.005-3.118-3.118-3.122-8.192.005-11.319L58.962 2.346A7.986 7.986 0 0164.625 0l-.006.002c2.05-.001 4.102.78 5.666 2.344l22.618 22.617c3.124 3.125 3.129 8.195.005 11.319-3.118 3.118-8.192 3.122-11.319-.005l-8.965-8.966v61.256c0 4.411-3.582 8-8 8-4.41 0-8-3.582-8-8V27.311z\"/></svg>"
},
"$:/core/images/file": {
"title": "$:/core/images/file",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-file tc-image-button\" viewBox=\"0 0 128 128\"><path d=\"M111.968 30.5H112V120a8 8 0 01-8 8H24a8 8 0 01-8-8V8a8 8 0 018-8h57v.02a7.978 7.978 0 015.998 2.337l22.627 22.627a7.975 7.975 0 012.343 5.516zM81 8H24v112h80V30.5H89c-4.418 0-8-3.578-8-8V8z\"/><rect width=\"64\" height=\"8\" x=\"32\" y=\"36\" rx=\"4\"/><rect width=\"64\" height=\"8\" x=\"32\" y=\"52\" rx=\"4\"/><rect width=\"64\" height=\"8\" x=\"32\" y=\"68\" rx=\"4\"/><rect width=\"64\" height=\"8\" x=\"32\" y=\"84\" rx=\"4\"/><rect width=\"64\" height=\"8\" x=\"32\" y=\"100\" rx=\"4\"/><rect width=\"40\" height=\"8\" x=\"32\" y=\"20\" rx=\"4\"/></svg>"
},
"$:/core/images/fixed-height": {
"title": "$:/core/images/fixed-height",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-fixed-height tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M60 35.657l-9.172 9.171a4 4 0 11-5.656-5.656l16-16a4 4 0 015.656 0l16 16a4 4 0 01-5.656 5.656L68 35.657v57.686l9.172-9.171a4 4 0 115.656 5.656l-16 16a4 4 0 01-5.656 0l-16-16a4 4 0 115.656-5.656L60 93.343V35.657zM16 116h96a4 4 0 100-8H16a4 4 0 100 8zm0-96h96a4 4 0 100-8H16a4 4 0 100 8z\"/></svg>"
},
"$:/core/images/fold-all-button": {
"title": "$:/core/images/fold-all-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-fold-all tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><rect width=\"128\" height=\"16\" rx=\"8\"/><rect width=\"128\" height=\"16\" y=\"64\" rx=\"8\"/><path d=\"M64.03 20.004c-2.05 0-4.102.78-5.667 2.344L35.746 44.966c-3.125 3.124-3.13 8.194-.005 11.318 3.118 3.118 8.192 3.122 11.319-.005l16.965-16.965 16.966 16.965c3.124 3.125 8.194 3.13 11.318.005 3.118-3.118 3.122-8.191-.005-11.318L69.687 22.348a7.986 7.986 0 00-5.663-2.346zM64.03 85.002c-2.05-.001-4.102.78-5.667 2.344l-22.617 22.617c-3.125 3.125-3.13 8.195-.005 11.319 3.118 3.118 8.192 3.122 11.319-.005l16.965-16.966 16.966 16.966c3.124 3.125 8.194 3.13 11.318.005 3.118-3.118 3.122-8.192-.005-11.319L69.687 87.346A7.986 7.986 0 0064.024 85z\"/></g></svg>"
},
"$:/core/images/fold-button": {
"title": "$:/core/images/fold-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-fold tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><rect width=\"128\" height=\"16\" rx=\"8\"/><path d=\"M64.03 25.004c-2.05 0-4.102.78-5.667 2.344L35.746 49.966c-3.125 3.124-3.13 8.194-.005 11.318 3.118 3.118 8.192 3.122 11.319-.005l16.965-16.965 16.966 16.965c3.124 3.125 8.194 3.13 11.318.005 3.118-3.118 3.122-8.191-.005-11.318L69.687 27.348a7.986 7.986 0 00-5.663-2.346zM64.005 67.379c-2.05 0-4.102.78-5.666 2.344L35.722 92.34c-3.125 3.125-3.13 8.195-.006 11.32 3.118 3.117 8.192 3.121 11.32-.006L64 86.69l16.965 16.965c3.125 3.125 8.195 3.13 11.319.005 3.118-3.118 3.122-8.192-.005-11.319L69.663 69.723A7.986 7.986 0 0064 67.377z\"/></g></svg>"
},
"$:/core/images/fold-others-button": {
"title": "$:/core/images/fold-others-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-fold-others tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><rect width=\"128\" height=\"16\" y=\"56.031\" rx=\"8\"/><path d=\"M86.632 79.976c-2.05 0-4.102.78-5.666 2.345L64 99.286 47.034 82.321a7.986 7.986 0 00-5.662-2.346l.005.001c-2.05 0-4.102.78-5.666 2.345l-22.618 22.617c-3.124 3.125-3.129 8.195-.005 11.319 3.118 3.118 8.192 3.122 11.319-.005l16.966-16.966 16.965 16.966a7.986 7.986 0 005.663 2.346l-.005-.002c2.05 0 4.102-.78 5.666-2.344l16.965-16.966 16.966 16.966c3.125 3.124 8.194 3.129 11.319.005 3.118-3.118 3.122-8.192-.005-11.319L92.289 82.321a7.986 7.986 0 00-5.663-2.346zM86.7 48.024c-2.05 0-4.102-.78-5.666-2.345L64.07 28.714 47.103 45.679a7.986 7.986 0 01-5.663 2.346l.005-.001c-2.05 0-4.101-.78-5.666-2.345L13.162 23.062c-3.125-3.125-3.13-8.195-.005-11.319 3.118-3.118 8.192-3.122 11.319.005L41.44 28.714l16.966-16.966a7.986 7.986 0 015.662-2.346l-.005.002c2.05 0 4.102.78 5.666 2.344l16.966 16.966 16.966-16.966c3.124-3.124 8.194-3.129 11.318-.005 3.118 3.118 3.122 8.192-.005 11.319L92.358 45.679a7.986 7.986 0 01-5.663 2.346z\"/></g></svg>"
},
"$:/core/images/folder": {
"title": "$:/core/images/folder",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-folder tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><path d=\"M55.694 128H8C3.58 128 0 124.414 0 119.996V48.004C0 43.584 3.584 40 7.999 40H16v-8c0-4.418 3.578-8 8-8h32a8 8 0 018 8v8h40.001c4.418 0 7.999 3.586 7.999 8.004V59.83l-8-.082v-7.749A4 4 0 0099.997 48H56V36c0-2.21-1.793-4-4.004-4H28.004A4 4 0 0024 36v12H12.003A4 4 0 008 52v64a4 4 0 004.003 4h46.76l-3.069 8z\"/><path d=\"M23.873 55.5h96.003c4.417 0 7.004 4.053 5.774 9.063l-13.344 54.374c-1.228 5.005-5.808 9.063-10.223 9.063H6.08c-4.417 0-7.003-4.053-5.774-9.063L13.65 64.563c1.228-5.005 5.808-9.063 10.223-9.063zm1.78 8.5h87.994c2.211 0 3.504 2.093 2.891 4.666l-11.12 46.668c-.614 2.577-2.902 4.666-5.115 4.666H12.31c-2.211 0-3.504-2.093-2.891-4.666l11.12-46.668C21.152 66.09 23.44 64 25.653 64z\"/></g></svg>"
},
"$:/core/images/full-screen-button": {
"title": "$:/core/images/full-screen-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-full-screen-button tc-image-button\" viewBox=\"0 0 128 128\"><path d=\"M0 8a8 8 0 018-8h32a8 8 0 110 16H16v24a8 8 0 11-16 0V8zM128 120a8 8 0 01-8 8H88a8 8 0 110-16h24V88a8 8 0 1116 0v32zM8 128a8 8 0 01-8-8V88a8 8 0 1116 0v24h24a8 8 0 110 16H8zM120 0a8 8 0 018 8v32a8 8 0 11-16 0V16H88a8 8 0 110-16h32z\"/></svg>"
},
"$:/core/images/github": {
"title": "$:/core/images/github",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-github tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M63.938 1.607c-35.336 0-63.994 28.69-63.994 64.084 0 28.312 18.336 52.329 43.768 60.802 3.202.59 4.37-1.388 4.37-3.088 0-1.518-.056-5.55-.087-10.897-17.802 3.871-21.558-8.591-21.558-8.591-2.911-7.404-7.108-9.375-7.108-9.375-5.81-3.973.44-3.895.44-3.895 6.424.453 9.803 6.606 9.803 6.606 5.709 9.791 14.981 6.963 18.627 5.322.582-4.138 2.236-6.963 4.063-8.564-14.211-1.617-29.153-7.117-29.153-31.672 0-6.995 2.495-12.718 6.589-17.195-.66-1.621-2.856-8.14.629-16.96 0 0 5.37-1.722 17.597 6.57 5.104-1.424 10.58-2.132 16.022-2.16 5.438.028 10.91.736 16.022 2.16 12.22-8.292 17.582-6.57 17.582-6.57 3.493 8.82 1.297 15.339.64 16.96 4.102 4.477 6.578 10.2 6.578 17.195 0 24.618-14.966 30.035-29.22 31.62 2.295 1.98 4.342 5.89 4.342 11.87 0 8.564-.079 15.476-.079 17.576 0 1.715 1.155 3.71 4.4 3.084 25.413-8.493 43.733-32.494 43.733-60.798 0-35.394-28.657-64.084-64.006-64.084\"/></svg>"
},
"$:/core/images/gitter": {
"title": "$:/core/images/gitter",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-gitter tc-image-button\" viewBox=\"0 0 18 25\"><path d=\"M15 5h2v10h-2zM10 5h2v20h-2zM5 5h2v20H5zM0 0h2v15H0z\"/></svg>"
},
"$:/core/images/globe": {
"title": "$:/core/images/globe",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-globe tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><path d=\"M72.811 37.128v2.554c0 2.196.978 6.881 0 8.832-1.466 2.928-4.65 3.54-6.394 5.867-1.182 1.577-4.618 10.601-3.69 12.92 3.969 9.922 11.534 3.187 17.962 9.293.864.821 2.887 2.273 3.296 3.296 3.29 8.223-7.576 15.009 3.757 26.3 1.245 1.24 3.813-3.817 4.079-4.614.852-2.563 6.725-5.45 9.088-7.053 2.02-1.37 4.873-2.667 6.328-4.745 2.27-3.244 1.48-7.514 3.098-10.745 2.139-4.274 3.828-9.635 5.998-13.966 3.898-7.781 4.721 2.093 5.067 2.439.358.357 1.011 0 1.517 0 .094 0 1.447.099 1.516 0 .65-.935-1.043-17.92-1.318-19.297-1.404-7.01-6.944-15.781-11.865-20.5-6.274-6.015-7.09-16.197-18.259-14.954-.204.022-5.084 10.148-7.777 13.512-3.728 4.657-2.47-4.153-6.526-4.153-.081 0-1.183-.103-1.253 0-.586.88-1.44 3.896-2.306 4.417-.265.16-1.722-.239-1.846 0-2.243 4.3 8.256 2.212 5.792 7.952-2.352 5.481-6.328-1.997-6.328 8.56M44.467 7.01c9.685 6.13.682 12.198 2.694 16.215 1.655 3.303 4.241 5.395 1.714 9.814-2.063 3.608-6.87 3.966-9.623 6.723-3.04 3.044-5.464 8.94-6.79 12.911-1.617 4.843 14.547 6.866 12.063 11.008-1.386 2.311-6.746 1.466-8.437.198-1.165-.873-3.593-.546-4.417-1.78-2.613-3.915-2.26-8.023-3.625-12.128-.938-2.822-6.313-2.12-7.844-.593-.523.522-.33 1.792-.33 2.505 0 5.285 7.12 3.316 7.12 6.46 0 14.636 3.927 6.534 11.14 11.336 10.036 6.683 7.844 7.303 14.946 14.404 3.673 3.673 7.741 3.686 9.425 9.294 1.602 5.331-9.327 5.339-11.716 7.448-1.123.991-2.813 4.146-4.219 4.615-1.792.598-3.234.496-4.944 1.78-2.427 1.82-3.9 4.932-4.02 4.81-2.148-2.147-3.52-15.479-3.89-18.257-.588-4.42-5.59-5.54-6.986-9.03-1.57-3.927 1.524-9.52-1.129-13.761-6.52-10.424-11.821-14.5-15.35-26.292-.942-3.148 3.342-6.529 4.877-8.833 1.877-2.816 2.662-5.854 4.746-8.635C22.147 24.19 40.855 9.461 43.857 8.635l.61-1.625z\"/><path d=\"M64 126c34.242 0 62-27.758 62-62 0-34.242-27.758-62-62-62C29.758 2 2 29.758 2 64c0 34.242 27.758 62 62 62zm0-6c30.928 0 56-25.072 56-56S94.928 8 64 8 8 33.072 8 64s25.072 56 56 56z\"/></g></svg>"
},
"$:/core/images/heading-1": {
"title": "$:/core/images/heading-1",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-heading-1 tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M14 30h13.25v30.104H61.7V30h13.25v75.684H61.7V71.552H27.25v34.132H14V30zm70.335 13.78c2.544 0 5.017-.212 7.42-.636 2.403-.424 4.576-1.13 6.52-2.12 1.942-.99 3.603-2.261 4.981-3.816 1.378-1.555 2.28-3.463 2.703-5.724h9.858v74.2h-13.25V53.32H84.335v-9.54z\"/></svg>"
},
"$:/core/images/heading-2": {
"title": "$:/core/images/heading-2",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-heading-2 tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M6 30h13.25v30.104H53.7V30h13.25v75.684H53.7V71.552H19.25v34.132H6V30zm119.52 75.684H74.85c.07-6.148 1.555-11.519 4.452-16.112 2.897-4.593 6.855-8.586 11.872-11.978a133.725 133.725 0 017.526-5.141 59.6 59.6 0 007.208-5.353c2.19-1.908 3.993-3.975 5.406-6.201 1.413-2.226 2.155-4.788 2.226-7.685 0-1.343-.159-2.774-.477-4.293a11.357 11.357 0 00-1.855-4.24c-.919-1.307-2.19-2.403-3.816-3.286-1.625-.883-3.745-1.325-6.36-1.325-2.403 0-4.399.477-5.989 1.431-1.59.954-2.862 2.261-3.816 3.922-.954 1.66-1.66 3.622-2.12 5.883-.46 2.261-.724 4.7-.795 7.314H76.23c0-4.099.548-7.897 1.643-11.395 1.095-3.498 2.738-6.519 4.93-9.063 2.19-2.544 4.857-4.54 8.002-5.989C93.95 30.724 97.606 30 101.775 30c4.523 0 8.303.742 11.342 2.226 3.039 1.484 5.494 3.357 7.367 5.618 1.873 2.261 3.198 4.717 3.975 7.367.777 2.65 1.166 5.176 1.166 7.579 0 2.968-.46 5.653-1.378 8.056a25.942 25.942 0 01-3.71 6.625 37.5 37.5 0 01-5.3 5.565 79.468 79.468 0 01-6.148 4.77 165.627 165.627 0 01-6.36 4.24 94.28 94.28 0 00-5.883 4.028c-1.802 1.343-3.374 2.738-4.717 4.187-1.343 1.449-2.261 2.986-2.756 4.611h36.146v10.812z\"/></svg>"
},
"$:/core/images/heading-3": {
"title": "$:/core/images/heading-3",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-heading-3 tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M6 30h13.25v30.104H53.7V30h13.25v75.684H53.7V71.552H19.25v34.132H6V30zm88.885 32.224c1.979.07 3.957-.07 5.936-.424 1.979-.353 3.745-.972 5.3-1.855a10.365 10.365 0 003.763-3.657c.954-1.555 1.431-3.463 1.431-5.724 0-3.18-1.078-5.724-3.233-7.632-2.155-1.908-4.929-2.862-8.32-2.862-2.12 0-3.958.424-5.513 1.272a11.318 11.318 0 00-3.869 3.445c-1.025 1.449-1.784 3.074-2.279 4.876a18.335 18.335 0 00-.636 5.565H75.381c.141-3.604.813-6.943 2.014-10.017 1.201-3.074 2.844-5.742 4.93-8.003 2.084-2.261 4.61-4.028 7.578-5.3C92.871 30.636 96.228 30 99.973 30a29.2 29.2 0 018.533 1.272c2.791.848 5.3 2.085 7.526 3.71s4.01 3.692 5.353 6.201c1.343 2.509 2.014 5.388 2.014 8.639 0 3.745-.848 7.014-2.544 9.805-1.696 2.791-4.346 4.823-7.95 6.095v.212c4.24.848 7.544 2.95 9.911 6.307s3.551 7.438 3.551 12.243c0 3.533-.707 6.696-2.12 9.487a21.538 21.538 0 01-5.724 7.102c-2.403 1.943-5.194 3.445-8.374 4.505-3.18 1.06-6.537 1.59-10.07 1.59-4.31 0-8.074-.618-11.289-1.855s-5.9-2.986-8.056-5.247c-2.155-2.261-3.798-4.982-4.929-8.162-1.13-3.18-1.731-6.713-1.802-10.6h12.084c-.141 4.523.972 8.286 3.34 11.289 2.366 3.003 5.917 4.505 10.652 4.505 4.028 0 7.402-1.148 10.123-3.445 2.72-2.297 4.081-5.565 4.081-9.805 0-2.897-.565-5.194-1.696-6.89a10.97 10.97 0 00-4.452-3.869c-1.837-.883-3.904-1.431-6.2-1.643a58.067 58.067 0 00-7.05-.212v-9.01z\"/></svg>"
},
"$:/core/images/heading-4": {
"title": "$:/core/images/heading-4",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-heading-4 tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M8 30h13.25v30.104H55.7V30h13.25v75.684H55.7V71.552H21.25v34.132H8V30zm76.59 48.548h22.471V45.9h-.212L84.59 78.548zm43.46 9.54h-9.54v17.596H107.06V88.088h-31.8V76.11l31.8-44.626h11.448v47.064h9.54v9.54z\"/></svg>"
},
"$:/core/images/heading-5": {
"title": "$:/core/images/heading-5",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-heading-5 tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M6 30h13.25v30.104H53.7V30h13.25v75.684H53.7V71.552H19.25v34.132H6V30zm77.755 1.484h38.372v10.812H92.765L88.95 61.164l.212.212c1.625-1.837 3.692-3.233 6.201-4.187 2.509-.954 5-1.431 7.473-1.431 3.675 0 6.96.618 9.858 1.855 2.897 1.237 5.335 2.968 7.314 5.194s3.48 4.858 4.505 7.897c1.025 3.039 1.537 6.325 1.537 9.858 0 2.968-.477 6.024-1.43 9.169a25.161 25.161 0 01-4.559 8.586c-2.085 2.58-4.752 4.7-8.003 6.36-3.25 1.66-7.137 2.491-11.66 2.491-3.604 0-6.943-.477-10.017-1.431-3.074-.954-5.777-2.385-8.109-4.293-2.332-1.908-4.187-4.258-5.565-7.049-1.378-2.791-2.138-6.06-2.279-9.805h12.084c.353 4.028 1.731 7.12 4.134 9.275 2.403 2.155 5.583 3.233 9.54 3.233 2.544 0 4.7-.424 6.466-1.272 1.767-.848 3.198-2.014 4.293-3.498 1.095-1.484 1.873-3.215 2.332-5.194.46-1.979.69-4.099.69-6.36 0-2.05-.284-4.01-.849-5.883-.565-1.873-1.413-3.516-2.544-4.929-1.13-1.413-2.597-2.544-4.399-3.392-1.802-.848-3.904-1.272-6.307-1.272-2.544 0-4.929.477-7.155 1.431-2.226.954-3.834 2.738-4.823 5.353H75.805l7.95-40.598z\"/></svg>"
},
"$:/core/images/heading-6": {
"title": "$:/core/images/heading-6",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-heading-6 tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M6 30h13.25v30.104H53.7V30h13.25v75.684H53.7V71.552H19.25v34.132H6V30zm106.587 20.246c-.283-3.039-1.36-5.494-3.233-7.367-1.873-1.873-4.399-2.809-7.579-2.809-2.19 0-4.08.406-5.67 1.219a12.435 12.435 0 00-4.029 3.233c-1.095 1.343-1.979 2.88-2.65 4.611a37.696 37.696 0 00-1.643 5.459 46.08 46.08 0 00-.9 5.671 722.213 722.213 0 00-.478 5.247l.212.212c1.625-2.968 3.87-5.176 6.731-6.625 2.862-1.449 5.954-2.173 9.275-2.173 3.675 0 6.96.636 9.858 1.908 2.897 1.272 5.353 3.021 7.367 5.247 2.014 2.226 3.551 4.858 4.611 7.897 1.06 3.039 1.59 6.325 1.59 9.858 0 3.604-.583 6.943-1.749 10.017-1.166 3.074-2.844 5.76-5.035 8.056-2.19 2.297-4.805 4.081-7.844 5.353-3.039 1.272-6.395 1.908-10.07 1.908-5.441 0-9.91-1.007-13.409-3.021-3.498-2.014-6.254-4.77-8.268-8.268-2.014-3.498-3.41-7.597-4.187-12.296-.777-4.7-1.166-9.77-1.166-15.211 0-4.452.477-8.94 1.431-13.462.954-4.523 2.526-8.639 4.717-12.349 2.19-3.71 5.07-6.731 8.64-9.063C92.676 31.166 97.075 30 102.304 30c2.968 0 5.76.495 8.374 1.484 2.615.99 4.93 2.367 6.943 4.134 2.014 1.767 3.657 3.887 4.93 6.36 1.271 2.473 1.978 5.23 2.12 8.268h-12.085zm-11.66 46.852c2.19 0 4.099-.442 5.724-1.325a12.869 12.869 0 004.081-3.445c1.095-1.413 1.908-3.056 2.438-4.929.53-1.873.795-3.798.795-5.777s-.265-3.887-.795-5.724c-.53-1.837-1.343-3.445-2.438-4.823-1.095-1.378-2.456-2.491-4.08-3.339-1.626-.848-3.534-1.272-5.725-1.272-2.19 0-4.116.406-5.777 1.219-1.66.813-3.056 1.908-4.187 3.286-1.13 1.378-1.979 2.986-2.544 4.823-.565 1.837-.848 3.78-.848 5.83 0 2.05.283 3.993.848 5.83.565 1.837 1.413 3.48 2.544 4.929a12.39 12.39 0 004.187 3.445c1.66.848 3.586 1.272 5.777 1.272z\"/></svg>"
},
"$:/core/images/help": {
"title": "$:/core/images/help",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-help tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M36.055 111.441c-5.24 4.396-15.168 7.362-26.555 7.362-1.635 0-3.24-.06-4.806-.179 7.919-2.64 14.062-8.6 16.367-16.014C8.747 92.845 1.05 78.936 1.05 63.5c0-29.547 28.206-53.5 63-53.5s63 23.953 63 53.5-28.206 53.5-63 53.5c-10.055 0-19.56-2-27.994-5.559zm35.35-33.843a536.471 536.471 0 00.018-4.682 199.02 199.02 0 00-.023-3.042c.008-1.357.595-2.087 3.727-4.235.112-.077 1.085-.74 1.386-.948 3.093-2.133 5.022-3.786 6.762-6.187 2.34-3.228 3.558-7.077 3.558-11.649 0-13.292-9.86-21.952-21.455-21.952-11.103 0-22.499 9.609-24.066 22.295a6.023 6.023 0 1011.956 1.477c.806-6.527 6.972-11.726 12.11-11.726 5.265 0 9.408 3.64 9.408 9.906 0 3.634-1.1 5.153-5.111 7.919l-1.362.93c-2.682 1.84-4.227 3.1-5.7 4.931-2.109 2.62-3.242 5.717-3.258 9.314.013.892.02 1.86.022 2.981a470.766 470.766 0 01-.022 4.943 6.023 6.023 0 1012.046.12l.003-.395zm-6.027 24.499a7.529 7.529 0 100-15.058 7.529 7.529 0 000 15.058z\"/></svg>"
},
"$:/core/images/home-button": {
"title": "$:/core/images/home-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-home-button tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M112.985 119.502c.01-.165.015-.331.015-.499V67.568c3.137 2.948 8.076 2.884 11.134-.174a7.999 7.999 0 00-.002-11.316L70.396 2.343A7.978 7.978 0 0064.734 0a7.957 7.957 0 00-5.656 2.343L33 28.42V8.007C33 3.585 29.41 0 25 0c-4.418 0-8 3.59-8 8.007V44.42L5.342 56.078c-3.125 3.125-3.12 8.198-.002 11.316a7.999 7.999 0 0011.316-.003l.344-.343v52.945a8.11 8.11 0 000 .007c0 4.418 3.588 8 8 8h80c4.419 0 8-3.59 8-8a8.11 8.11 0 00-.015-.498zM97 112V51.574L64.737 19.31 33 51.048V112h64z\"/></svg>"
},
"$:/core/images/import-button": {
"title": "$:/core/images/import-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-import-button tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M114.832 60.436s3.235-3.27 6.921.417c3.686 3.686.231 7.14.231 7.14l-42.153 42.92s-30.765 32.367-58.798 4.333C-7 87.213 24.59 55.623 24.59 55.623L67.363 12.85s22.725-24.6 43.587-3.738c20.862 20.862-3.96 43.09-3.96 43.09l-35.04 35.04S49.903 112.546 36.426 99.07c-13.476-13.477 11.83-35.523 11.83-35.523l35.04-35.04s3.902-3.902 7.78-.023c3.879 3.878.118 7.921.118 7.921l-35.04 35.04s-13.212 13.212-8.872 17.551c4.34 4.34 16.77-9.653 16.77-9.653l35.04-35.04s16.668-14.598 3.966-27.3c-13.893-13.892-27.565 3.702-27.565 3.702l-42.91 42.91s-23.698 23.698-3.658 43.738 43.012-4.385 43.012-4.385l42.895-42.533z\"/></svg>"
},
"$:/core/images/info-button": {
"title": "$:/core/images/info-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-info-button tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\" transform=\"translate(.05)\"><path d=\"M64 128c35.346 0 64-28.654 64-64 0-35.346-28.654-64-64-64C28.654 0 0 28.654 0 64c0 35.346 28.654 64 64 64zm0-16c26.51 0 48-21.49 48-48S90.51 16 64 16 16 37.49 16 64s21.49 48 48 48z\"/><circle cx=\"64\" cy=\"32\" r=\"8\"/><rect width=\"16\" height=\"56\" x=\"56\" y=\"48\" rx=\"8\"/></g></svg>"
},
"$:/core/images/italic": {
"title": "$:/core/images/italic",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-italic tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M66.711 0h22.41L62.408 128H40z\"/></svg>"
},
"$:/core/images/left-arrow": {
"title": "$:/core/images/left-arrow",
"created": "20150315234410875",
"modified": "20150315235324760",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-left-arrow tc-image-button\" viewBox=\"0 0 128 128\"><path d=\"M0 64.177c0-2.026.771-4.054 2.317-5.6l55.98-55.98a7.92 7.92 0 0111.195.001c3.086 3.085 3.092 8.104.001 11.195L19.111 64.175l50.382 50.382a7.92 7.92 0 010 11.195c-3.086 3.086-8.105 3.092-11.196.001l-55.98-55.98A7.892 7.892 0 010 64.177z\"/></svg>"
},
"$:/core/images/line-width": {
"title": "$:/core/images/line-width",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-line-width tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M16 18h96a2 2 0 000-4H16a2 2 0 100 4zm0 17h96a4 4 0 100-8H16a4 4 0 100 8zm0 21h96a6 6 0 000-12H16a6 6 0 100 12zm0 29h96c5.523 0 10-4.477 10-10s-4.477-10-10-10H16c-5.523 0-10 4.477-10 10s4.477 10 10 10zm0 43h96c8.837 0 16-7.163 16-16s-7.163-16-16-16H16c-8.837 0-16 7.163-16 16s7.163 16 16 16z\"/></svg>"
},
"$:/core/images/link": {
"title": "$:/core/images/link",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-link tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><path d=\"M42.263 69.38a31.919 31.919 0 006.841 10.13c12.5 12.5 32.758 12.496 45.255 0l22.627-22.628c12.502-12.501 12.497-32.758 0-45.255-12.5-12.5-32.758-12.496-45.254 0L49.104 34.255a32.333 32.333 0 00-2.666 3.019 36.156 36.156 0 0121.94.334l14.663-14.663c6.25-6.25 16.382-6.254 22.632-.004 6.248 6.249 6.254 16.373-.004 22.631l-22.62 22.62c-6.25 6.25-16.381 6.254-22.631.004a15.93 15.93 0 01-4.428-8.433 11.948 11.948 0 00-7.59 3.48l-6.137 6.137z\"/><path d=\"M86.35 59.234a31.919 31.919 0 00-6.84-10.13c-12.5-12.5-32.758-12.497-45.255 0L11.627 71.732c-12.501 12.5-12.496 32.758 0 45.254 12.5 12.5 32.758 12.497 45.255 0L79.51 94.36a32.333 32.333 0 002.665-3.02 36.156 36.156 0 01-21.94-.333l-14.663 14.663c-6.25 6.25-16.381 6.253-22.63.004-6.25-6.249-6.255-16.374.003-22.632l22.62-22.62c6.25-6.25 16.381-6.253 22.631-.003a15.93 15.93 0 014.428 8.432 11.948 11.948 0 007.59-3.48l6.137-6.136z\"/></g></svg>"
},
"$:/core/images/linkify": {
"title": "$:/core/images/linkify",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-linkify-button tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M17.031 31.919H9.048V96.85h7.983v6.92H0V25h17.031v6.919zm24.66 0h-7.983V96.85h7.983v6.92H24.66V25h17.03v6.919zM67.77 56.422l11.975-3.903 2.306 7.096-12.063 3.903 7.628 10.379-6.12 4.435-7.63-10.467-7.45 10.2-5.943-4.523L58.1 63.518 45.95 59.35l2.306-7.096 12.064 4.17V43.825h7.45v12.596zM86.31 96.85h7.982V31.92H86.31V25h17.031v78.77H86.31v-6.92zm24.659 0h7.983V31.92h-7.983V25H128v78.77h-17.031v-6.92z\"/></svg>"
},
"$:/core/images/list-bullet": {
"title": "$:/core/images/list-bullet",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-list-bullet tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M11.636 40.273c6.427 0 11.637-5.21 11.637-11.637C23.273 22.21 18.063 17 11.636 17 5.21 17 0 22.21 0 28.636c0 6.427 5.21 11.637 11.636 11.637zm0 34.909c6.427 0 11.637-5.21 11.637-11.637 0-6.426-5.21-11.636-11.637-11.636C5.21 51.91 0 57.12 0 63.545c0 6.427 5.21 11.637 11.636 11.637zm0 34.909c6.427 0 11.637-5.21 11.637-11.636 0-6.427-5.21-11.637-11.637-11.637C5.21 86.818 0 92.028 0 98.455c0 6.426 5.21 11.636 11.636 11.636zM34.91 22.818H128v11.637H34.91V22.818zm0 34.91H128v11.636H34.91V57.727zm0 34.908H128v11.637H34.91V92.636z\"/></svg>"
},
"$:/core/images/list-number": {
"title": "$:/core/images/list-number",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-list-number tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M33.84 22.356H128v11.77H33.84v-11.77zm0 35.31H128v11.77H33.84v-11.77zm0 35.311H128v11.77H33.84v-11.77zM.38 42.631v-2.223h.998c.826 0 1.445-.14 1.858-.42.413-.28.619-.948.619-2.002V22.769c0-1.442-.193-2.336-.58-2.683-.385-.347-1.477-.52-3.275-.52v-2.143c3.502-.147 6.252-.955 8.25-2.423h2.117v22.865c0 .921.15 1.575.449 1.963.3.387.949.58 1.948.58h.998v2.223H.38zm-.3 35.356v-1.902c7.19-6.554 10.786-12.58 10.786-18.08 0-1.562-.326-2.81-.979-3.744-.652-.934-1.524-1.402-2.616-1.402-.893 0-1.655.317-2.287.952-.633.634-.95 1.364-.95 2.192 0 .974.247 1.829.74 2.563.106.16.16.28.16.36 0 .147-.16.28-.48.4-.213.08-.752.308-1.618.681-.839.374-1.358.561-1.558.561-.24 0-.512-.37-.819-1.111A6.2 6.2 0 010 57.064c0-1.949.849-3.544 2.547-4.785 1.698-1.242 3.798-1.862 6.302-1.862 2.463 0 4.53.67 6.202 2.012 1.67 1.341 2.506 3.093 2.506 5.256a8.644 8.644 0 01-.849 3.724c-.566 1.201-1.92 3.053-4.064 5.556a165.471 165.471 0 01-6.272 6.938h11.445l-1.019 5.726h-2.117c.08-.28.12-.534.12-.76 0-.388-.1-.631-.3-.731-.2-.1-.599-.15-1.198-.15H.08zm12.124 19.207c1.745.04 3.236.637 4.474 1.792 1.239 1.154 1.858 2.773 1.858 4.855 0 2.99-1.132 5.393-3.396 7.208-2.263 1.815-5 2.723-8.209 2.723-2.01 0-3.669-.384-4.974-1.151C.652 111.853 0 110.849 0 109.607c0-.774.27-1.398.809-1.872.54-.474 1.128-.71 1.768-.71.639 0 1.162.2 1.568.6.406.4.782 1.055 1.128 1.962.466 1.268 1.239 1.902 2.317 1.902 1.265 0 2.287-.477 3.066-1.431.78-.955 1.169-2.686 1.169-5.196 0-1.709-.12-3.023-.36-3.944-.24-.921-.792-1.382-1.658-1.382-.586 0-1.185.307-1.797.921-.493.494-.932.741-1.319.741-.333 0-.602-.147-.809-.44-.206-.294-.31-.574-.31-.841 0-.32.104-.594.31-.821.207-.227.69-.594 1.449-1.102 2.876-1.922 4.314-4.017 4.314-6.287 0-1.188-.306-2.092-.919-2.713a3.001 3.001 0 00-2.217-.93c-.799 0-1.525.263-2.177.79-.653.528-.979 1.158-.979 1.892 0 .641.253 1.235.76 1.782.172.2.259.367.259.5 0 .121-.57.428-1.708.922-1.139.494-1.854.74-2.147.74-.413 0-.75-.333-1.009-1-.26-.668-.39-1.282-.39-1.842 0-1.749.93-3.224 2.787-4.425 1.858-1.202 3.965-1.802 6.322-1.802 2.064 0 3.851.447 5.363 1.341 1.511.895 2.267 2.116 2.267 3.664 0 1.362-.57 2.623-1.708 3.784a13.387 13.387 0 01-3.945 2.784z\"/></svg>"
},
"$:/core/images/list": {
"title": "$:/core/images/list",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-list tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M87.748 128H23.999c-4.418 0-7.999-3.59-7.999-8.007V8.007C16 3.585 19.588 0 24 0h80c4.419 0 8 3.59 8 8.007V104H91.25c-.965 0-1.84.392-2.473 1.025a3.476 3.476 0 00-1.029 2.476V128zm8-.12l15.88-15.88h-15.88v15.88zM40 15.508A3.502 3.502 0 0143.5 12h55c1.933 0 3.5 1.561 3.5 3.509v.982A3.502 3.502 0 0198.5 20h-55a3.498 3.498 0 01-3.5-3.509v-.982zM32 22a6 6 0 100-12 6 6 0 000 12zm8 9.509A3.502 3.502 0 0143.5 28h55c1.933 0 3.5 1.561 3.5 3.509v.982A3.502 3.502 0 0198.5 36h-55a3.498 3.498 0 01-3.5-3.509v-.982zm0 16A3.502 3.502 0 0143.5 44h55c1.933 0 3.5 1.561 3.5 3.509v.982A3.502 3.502 0 0198.5 52h-55a3.498 3.498 0 01-3.5-3.509v-.982zm0 16A3.502 3.502 0 0143.5 60h55c1.933 0 3.5 1.561 3.5 3.509v.982A3.502 3.502 0 0198.5 68h-55a3.498 3.498 0 01-3.5-3.509v-.982zm0 16A3.502 3.502 0 0143.5 76h55c1.933 0 3.5 1.561 3.5 3.509v.982A3.502 3.502 0 0198.5 84h-55a3.498 3.498 0 01-3.5-3.509v-.982zm0 16A3.502 3.502 0 0143.5 92h55c1.933 0 3.5 1.561 3.5 3.509v.982A3.502 3.502 0 0198.5 100h-55a3.498 3.498 0 01-3.5-3.509v-.982zm0 16A3.505 3.505 0 0143.497 108h33.006A3.497 3.497 0 0180 111.509v.982A3.505 3.505 0 0176.503 116H43.497A3.497 3.497 0 0140 112.491v-.982zM32 38a6 6 0 100-12 6 6 0 000 12zm0 16a6 6 0 100-12 6 6 0 000 12zm0 16a6 6 0 100-12 6 6 0 000 12zm0 16a6 6 0 100-12 6 6 0 000 12zm0 16a6 6 0 100-12 6 6 0 000 12zm0 16a6 6 0 100-12 6 6 0 000 12z\"/></svg>"
},
"$:/core/images/locked-padlock": {
"title": "$:/core/images/locked-padlock",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-locked-padlock tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M96.472 64H105v32.01C105 113.674 90.674 128 73.001 128H56C38.318 128 24 113.677 24 96.01V64h8c.003-15.723.303-47.731 32.16-47.731 31.794 0 32.305 32.057 32.312 47.731zm-15.897 0H48.44c.002-16.287.142-32 15.719-32 15.684 0 16.977 16.136 16.415 32zM67.732 92.364A8.503 8.503 0 0064.5 76a8.5 8.5 0 00-3.498 16.25l-5.095 22.77H72.8l-5.07-22.656z\"/></svg>"
},
"$:/core/images/mail": {
"title": "$:/core/images/mail",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-mail tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M122.827 104.894a7.986 7.986 0 01-2.834.516H8.007c-.812 0-1.597-.12-2.335-.345l34.163-34.163 20.842 20.842a3.998 3.998 0 003.418 1.134 4.003 4.003 0 003.395-1.134L88.594 70.64c.075.09.155.176.24.26l33.993 33.994zm5.076-6.237c.064-.406.097-.823.097-1.247v-64c0-.669-.082-1.318-.237-1.94L94.23 65.006c.09.075.177.154.261.239l33.413 33.413zm-127.698.56A8.023 8.023 0 010 97.41v-64c0-.716.094-1.41.271-2.071l33.907 33.906L.205 99.218zM5.93 25.684a8.012 8.012 0 012.078-.273h111.986c.766 0 1.507.108 2.209.308L64.083 83.837 5.93 25.683z\"/></svg>"
},
"$:/core/images/menu-button": {
"title": "$:/core/images/menu-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-menu-button tc-image-button\" viewBox=\"0 0 128 128\"><rect width=\"128\" height=\"16\" y=\"16\" rx=\"8\"/><rect width=\"128\" height=\"16\" y=\"56\" rx=\"8\"/><rect width=\"128\" height=\"16\" y=\"96\" rx=\"8\"/></svg>"
},
"$:/core/images/mono-block": {
"title": "$:/core/images/mono-block",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-mono-block tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M23.965 32.967h.357c.755 0 1.328.192 1.72.577.39.384.586.947.586 1.688 0 .824-.206 1.418-.618 1.782-.413.363-1.094.545-2.045.545h-6.31c-.965 0-1.65-.178-2.056-.535-.405-.356-.608-.954-.608-1.792 0-.811.203-1.391.608-1.74.406-.35 1.09-.525 2.055-.525h.734l-.86-2.453H8.471l-.902 2.453h.734c.95 0 1.632.178 2.044.535.413.356.619.933.619 1.73 0 .824-.206 1.418-.619 1.782-.412.363-1.094.545-2.044.545h-5.41c-.964 0-1.649-.182-2.054-.545-.406-.364-.608-.958-.608-1.782 0-.741.195-1.304.587-1.688.391-.385.964-.577 1.719-.577h.356l5.62-15.641H6.835c-.95 0-1.632-.182-2.044-.546-.412-.363-.619-.95-.619-1.76 0-.825.207-1.42.619-1.783.412-.363 1.094-.545 2.044-.545h7.863c1.244 0 2.118.67 2.62 2.013v.063l6.647 18.2zM12.98 17.326l-3.04 8.848h6.08l-3.04-8.848zm22.402 9.372v6.395h3.145c2.223 0 3.788-.245 4.697-.734.908-.49 1.362-1.307 1.362-2.453 0-1.16-.433-1.985-1.3-2.474-.866-.49-2.383-.734-4.55-.734h-3.354zm10.693-2.327c1.524.559 2.642 1.324 3.355 2.295.713.972 1.07 2.212 1.07 3.722 0 1.272-.308 2.432-.923 3.48-.615 1.049-1.496 1.909-2.642 2.58a7.499 7.499 0 01-2.254.849c-.832.174-2.01.262-3.533.262H30.202c-.922 0-1.583-.182-1.981-.545-.399-.364-.598-.958-.598-1.782 0-.741.189-1.304.566-1.688.378-.385.93-.577 1.657-.577h.356V17.326h-.356c-.727 0-1.28-.196-1.657-.587-.377-.392-.566-.965-.566-1.72 0-.81.203-1.401.608-1.771.406-.37 1.062-.556 1.971-.556h9.645c2.95 0 5.19.573 6.72 1.72 1.53 1.145 2.296 2.823 2.296 5.031 0 1.09-.234 2.052-.703 2.883-.468.832-1.163 1.513-2.086 2.045zM35.381 17.2v5.284h2.83c1.72 0 2.932-.203 3.638-.609.706-.405 1.06-1.09 1.06-2.054 0-.909-.319-1.573-.955-1.992-.636-.42-1.667-.63-3.093-.63h-3.48zm35.863-3.816c.28-.503.566-.86.86-1.07.293-.21.664-.314 1.111-.314.685 0 1.17.182 1.457.545.287.364.43.986.43 1.866l.042 5.452c0 .964-.157 1.614-.472 1.95-.314.335-.884.503-1.709.503-.587 0-1.037-.14-1.352-.42-.314-.28-.584-.796-.807-1.551-.364-1.328-.944-2.282-1.74-2.862-.797-.58-1.901-.87-3.313-.87-2.153 0-3.802.727-4.948 2.18-1.147 1.454-1.72 3.558-1.72 6.311 0 2.74.58 4.844 1.74 6.311 1.16 1.468 2.817 2.202 4.97 2.202 1.467 0 3.085-.49 4.854-1.468 1.768-.978 2.883-1.467 3.344-1.467.545 0 1.003.23 1.373.692.37.46.556 1.034.556 1.719 0 1.23-1.084 2.39-3.25 3.48-2.167 1.09-4.606 1.636-7.318 1.636-3.662 0-6.625-1.21-8.89-3.627-2.264-2.419-3.396-5.578-3.396-9.478 0-3.76 1.146-6.884 3.438-9.372 2.293-2.488 5.2-3.732 8.723-3.732.992 0 1.97.112 2.935.335.964.224 1.992.574 3.082 1.049zm10.22 19.583V17.326h-.356c-.755 0-1.328-.196-1.72-.587-.39-.392-.586-.965-.586-1.72 0-.81.21-1.401.629-1.771.42-.37 1.097-.556 2.034-.556h5.178c2.922 0 5.06.126 6.416.377 1.356.252 2.51.671 3.46 1.258 1.691 1.007 2.988 2.443 3.89 4.31.9 1.865 1.352 4.021 1.352 6.467 0 2.586-.514 4.847-1.541 6.783-1.028 1.936-2.485 3.4-4.372 4.393-.853.447-1.852.772-2.998.975-1.147.203-2.852.304-5.116.304h-6.269c-.965 0-1.65-.178-2.055-.535-.406-.356-.608-.954-.608-1.792 0-.741.195-1.304.587-1.688.391-.385.964-.577 1.72-.577h.356zm5.41-15.725v15.725h1.195c2.642 0 4.592-.646 5.85-1.94 1.258-1.292 1.887-3.28 1.887-5.965 0-2.641-.64-4.612-1.918-5.912-1.28-1.3-3.205-1.95-5.777-1.95-.335 0-.59.003-.765.01a7.992 7.992 0 00-.472.032zm35.067-.126h-9.75v5.368h3.69v-.252c0-.797.175-1.39.524-1.782.35-.392.88-.587 1.594-.587.629 0 1.142.178 1.54.534.4.357.598.808.598 1.353 0 .028.007.118.021.272.014.154.021.308.021.462v4.34c0 .936-.167 1.607-.503 2.013-.335.405-.88.608-1.635.608-.713 0-1.251-.19-1.615-.567-.363-.377-.545-.936-.545-1.677v-.377h-3.69v6.269h9.75v-2.495c0-.937.178-1.608.534-2.013.357-.405.94-.608 1.75-.608.798 0 1.367.2 1.71.597.342.399.513 1.073.513 2.024v5.074c0 .755-.146 1.258-.44 1.51-.293.251-.873.377-1.74.377h-17.172c-.923 0-1.583-.182-1.982-.545-.398-.364-.597-.958-.597-1.782 0-.741.189-1.304.566-1.688.377-.385.93-.577 1.656-.577h.357V17.326h-.357c-.712 0-1.261-.2-1.646-.598-.384-.398-.576-.968-.576-1.709 0-.81.203-1.401.608-1.771.405-.37 1.062-.556 1.97-.556h17.173c.853 0 1.43.13 1.73.388.3.258.45.772.45 1.54v4.698c0 .95-.174 1.631-.524 2.044-.35.412-.915.618-1.698.618-.81 0-1.394-.21-1.75-.629-.357-.419-.535-1.097-.535-2.033v-2.202zM19.77 47.641c.267-.504.55-.86.85-1.07.3-.21.675-.314 1.122-.314.685 0 1.17.181 1.457.545.287.363.43.985.43 1.866l.042 5.451c0 .965-.157 1.615-.472 1.95-.314.336-.891.504-1.73.504-.587 0-1.045-.144-1.373-.43-.329-.287-.598-.8-.807-1.541-.378-1.342-.958-2.3-1.74-2.873-.783-.573-1.88-.86-3.292-.86-2.153 0-3.799.727-4.938 2.181-1.14 1.454-1.709 3.557-1.709 6.311s.598 4.882 1.793 6.385C10.599 67.248 12.294 68 14.488 68c.503 0 1.077-.06 1.72-.179a23.809 23.809 0 002.264-.555v-3.313h-2.37c-.95 0-1.624-.175-2.023-.524-.398-.35-.597-.93-.597-1.74 0-.84.199-1.437.597-1.793.399-.357 1.073-.535 2.024-.535h7.569c.978 0 1.667.175 2.065.524.398.35.598.937.598 1.762 0 .74-.2 1.31-.598 1.708-.398.399-.975.598-1.73.598h-.335v5.242c0 .447-.05.758-.147.933-.098.174-.293.353-.587.534-.797.476-2.062.895-3.795 1.258a25.576 25.576 0 01-5.263.546c-3.662 0-6.625-1.21-8.89-3.628-2.264-2.418-3.397-5.577-3.397-9.477 0-3.76 1.147-6.884 3.44-9.372 2.292-2.488 5.199-3.732 8.721-3.732.979 0 1.954.112 2.925.335.972.224 2.003.573 3.093 1.049zm15.84 3.941v4.823h6.857v-4.823h-.336c-.754 0-1.331-.195-1.73-.587-.398-.391-.597-.964-.597-1.719 0-.825.206-1.419.619-1.782.412-.364 1.093-.545 2.044-.545h5.41c.95 0 1.624.181 2.023.545.398.363.597.957.597 1.782 0 .755-.192 1.328-.576 1.72-.385.39-.947.586-1.688.586h-.357v15.642h.357c.755 0 1.328.192 1.719.576.391.385.587.947.587 1.688 0 .825-.203 1.419-.608 1.782-.405.364-1.09.546-2.055.546h-5.41c-.964 0-1.649-.179-2.054-.535-.405-.357-.608-.954-.608-1.793 0-.74.2-1.303.598-1.688.398-.384.975-.576 1.73-.576h.335v-6.186h-6.856v6.186h.335c.755 0 1.331.192 1.73.576.398.385.597.947.597 1.688 0 .825-.206 1.419-.618 1.782-.412.364-1.094.546-2.044.546h-5.41c-.964 0-1.65-.179-2.055-.535-.405-.357-.608-.954-.608-1.793 0-.74.196-1.303.587-1.688.392-.384.965-.576 1.72-.576h.356V51.582h-.356c-.741 0-1.304-.195-1.688-.587-.385-.391-.577-.964-.577-1.719 0-.825.2-1.419.598-1.782.398-.364 1.073-.545 2.023-.545h5.41c.936 0 1.614.181 2.033.545.42.363.63.957.63 1.782 0 .755-.2 1.328-.598 1.72-.399.39-.975.586-1.73.586h-.335zm31.754 0v15.642h3.523c.95 0 1.632.178 2.044.534.412.357.618.933.618 1.73 0 .811-.21 1.402-.629 1.772-.419.37-1.097.556-2.033.556H58.433c-.95 0-1.632-.182-2.044-.546-.412-.363-.619-.957-.619-1.782 0-.81.203-1.39.608-1.74.406-.35 1.09-.524 2.055-.524h3.523V51.582h-3.523c-.95 0-1.632-.181-2.044-.545-.412-.363-.619-.95-.619-1.761 0-.825.203-1.412.608-1.761.406-.35 1.09-.524 2.055-.524h12.455c.992 0 1.684.174 2.075.524.392.35.587.936.587 1.761 0 .81-.202 1.398-.608 1.761-.405.364-1.09.545-2.054.545h-3.523zm30.496 0v11.994c0 1.873-.122 3.228-.367 4.067a5.876 5.876 0 01-1.227 2.244c-.74.852-1.768 1.495-3.082 1.929-1.314.433-2.893.65-4.738.65-1.3 0-2.555-.126-3.764-.378a16.843 16.843 0 01-3.491-1.132c-.615-.28-1.017-.643-1.206-1.09-.188-.448-.283-1.175-.283-2.18v-4.32c0-1.202.175-2.04.525-2.516.349-.475.957-.713 1.824-.713 1.244 0 1.929.915 2.054 2.747.014.321.035.566.063.733.168 1.622.545 2.73 1.133 3.324.587.594 1.523.89 2.81.89 1.593 0 2.714-.422 3.364-1.268.65-.845.975-2.386.975-4.623V51.582H88.93c-.95 0-1.632-.181-2.044-.545-.413-.363-.619-.95-.619-1.761 0-.825.2-1.412.598-1.761.398-.35 1.086-.524 2.065-.524h10.693c.979 0 1.667.174 2.065.524.399.35.598.936.598 1.761 0 .81-.206 1.398-.619 1.761-.412.364-1.093.545-2.044.545h-1.761zm14.644 0v6.353l6.48-6.478c-.728-.084-1.238-.29-1.531-.619-.294-.328-.44-.85-.44-1.562 0-.825.198-1.419.597-1.782.398-.364 1.073-.545 2.023-.545h5.137c.95 0 1.625.181 2.023.545.399.363.598.957.598 1.782 0 .769-.2 1.345-.598 1.73-.398.384-.982.576-1.75.576h-.483l-6.101 6.06c1.132.839 2.167 1.94 3.103 3.302.937 1.363 2.034 3.456 3.292 6.28h.692c.825 0 1.44.188 1.845.566.405.377.608.943.608 1.698 0 .825-.206 1.419-.619 1.782-.412.364-1.093.546-2.044.546h-2.579c-1.132 0-2.048-.762-2.746-2.286-.126-.28-.224-.503-.294-.67-.923-1.958-1.768-3.467-2.537-4.53a16.616 16.616 0 00-2.705-2.914l-1.97 1.887v3.92h.335c.755 0 1.331.193 1.73.577.398.385.597.947.597 1.688 0 .825-.206 1.419-.618 1.782-.413.364-1.094.546-2.045.546h-5.41c-.964 0-1.649-.179-2.054-.535-.405-.357-.608-.954-.608-1.793 0-.74.196-1.303.587-1.688.391-.384.965-.576 1.72-.576h.356V51.582h-.357c-.74 0-1.303-.195-1.687-.587-.385-.391-.577-.964-.577-1.719 0-.825.2-1.419.598-1.782.398-.364 1.072-.545 2.023-.545h5.41c.936 0 1.614.181 2.033.545.42.363.63.957.63 1.782 0 .755-.2 1.328-.598 1.72-.399.39-.975.586-1.73.586h-.336zM13.44 96.326l4.005-11.889c.251-.782.6-1.352 1.048-1.709.447-.356 1.041-.534 1.782-.534h3.271c.95 0 1.632.182 2.044.545.413.363.619.957.619 1.782 0 .755-.2 1.328-.598 1.72-.398.39-.975.587-1.73.587h-.335l.587 15.641h.357c.754 0 1.32.192 1.698.577.377.384.566.947.566 1.687 0 .825-.2 1.42-.598 1.783-.398.363-1.072.545-2.023.545h-4.718c-.95 0-1.624-.178-2.023-.535-.398-.356-.597-.954-.597-1.793 0-.74.192-1.303.576-1.687.385-.385.954-.577 1.709-.577h.335l-.293-12.79-3.061 9.52c-.224.712-.542 1.226-.954 1.54-.413.315-.982.472-1.709.472-.727 0-1.303-.157-1.73-.472-.426-.314-.751-.828-.975-1.54l-3.04-9.52-.294 12.79h.336c.755 0 1.324.192 1.709.577.384.384.576.947.576 1.687 0 .825-.202 1.42-.608 1.783-.405.363-1.076.545-2.013.545H2.621c-.937 0-1.608-.182-2.013-.545-.405-.364-.608-.958-.608-1.783 0-.74.192-1.303.577-1.687.384-.385.954-.577 1.708-.577h.336l.608-15.641h-.336c-.754 0-1.331-.196-1.73-.588-.398-.39-.597-.964-.597-1.719 0-.825.206-1.419.619-1.782.412-.363 1.093-.545 2.044-.545h3.27c.728 0 1.311.175 1.752.524.44.35.8.923 1.08 1.72l4.109 11.888zm30.454 2.054V86.828H42.74c-.922 0-1.583-.182-1.981-.546-.398-.363-.598-.95-.598-1.76 0-.812.2-1.402.598-1.773.398-.37 1.059-.555 1.981-.555h5.955c.909 0 1.566.185 1.97.555.406.37.609.961.609 1.772 0 .741-.192 1.31-.577 1.709-.384.398-.933.598-1.646.598h-.356v19.038c0 .657-.07 1.069-.21 1.237-.14.167-.454.251-.943.251h-2.097c-.67 0-1.143-.07-1.415-.21-.273-.14-.507-.384-.703-.733l-8.722-15.327v11.385h1.216c.909 0 1.559.175 1.95.524.392.35.587.93.587 1.74 0 .825-.199 1.42-.597 1.783-.399.363-1.045.545-1.94.545h-6.017c-.909 0-1.566-.182-1.971-.545-.406-.364-.608-.958-.608-1.783 0-.74.188-1.303.566-1.687.377-.385.936-.577 1.677-.577h.336V86.828h-.336c-.713 0-1.265-.2-1.656-.598-.392-.398-.587-.968-.587-1.709 0-.81.206-1.401.618-1.772.413-.37 1.066-.555 1.96-.555h3.44c.824 0 1.383.108 1.677.325.293.216.622.653.985 1.31l7.989 14.551zM64.66 86.366c-1.803 0-3.218.727-4.245 2.18-1.028 1.455-1.541 3.474-1.541 6.06 0 2.586.517 4.613 1.551 6.08 1.034 1.468 2.446 2.202 4.235 2.202 1.804 0 3.222-.73 4.257-2.19 1.034-1.461 1.551-3.492 1.551-6.092 0-2.586-.513-4.605-1.54-6.06-1.028-1.453-2.45-2.18-4.268-2.18zm0-4.864c3.44 0 6.27 1.23 8.492 3.69 2.223 2.46 3.334 5.598 3.334 9.414 0 3.844-1.104 6.99-3.313 9.436-2.208 2.446-5.046 3.669-8.513 3.669-3.424 0-6.255-1.234-8.491-3.701-2.237-2.467-3.355-5.602-3.355-9.404 0-3.83 1.108-6.971 3.323-9.424 2.216-2.454 5.057-3.68 8.523-3.68zM87.461 98.17v4.298h2.16c.908 0 1.555.175 1.94.524.384.35.576.93.576 1.74 0 .825-.196 1.42-.587 1.783-.392.363-1.035.545-1.93.545h-7.254c-.922 0-1.583-.182-1.981-.545-.399-.364-.598-.958-.598-1.783 0-.74.189-1.303.566-1.687.378-.385.93-.577 1.657-.577h.356V86.828h-.356c-.713 0-1.262-.2-1.646-.598-.385-.398-.577-.968-.577-1.709 0-.81.203-1.401.608-1.772.406-.37 1.063-.555 1.971-.555h8.66c3.424 0 6.014.657 7.768 1.97 1.754 1.315 2.631 3.25 2.631 5.809 0 2.697-.873 4.738-2.62 6.122-1.748 1.384-4.34 2.076-7.78 2.076h-3.564zm0-11.343v6.625h2.977c1.65 0 2.89-.28 3.722-.839.832-.559 1.248-1.397 1.248-2.516 0-1.048-.43-1.855-1.29-2.421-.86-.566-2.086-.85-3.68-.85h-2.977zm27.267 20.568l-1.636 1.636a12.37 12.37 0 011.772-.44c.58-.098 1.15-.147 1.709-.147 1.104 0 2.268.164 3.491.492 1.223.329 1.967.493 2.233.493.447 0 1.03-.15 1.75-.45.72-.301 1.206-.452 1.458-.452.517 0 .947.2 1.29.598.342.398.513.898.513 1.5 0 .796-.472 1.474-1.415 2.033-.944.56-2.1.839-3.47.839-.937 0-2.139-.22-3.607-.66-1.467-.441-2.53-.661-3.187-.661-.992 0-2.11.272-3.354.817-1.244.546-2.013.818-2.307.818a2.14 2.14 0 01-1.53-.597c-.42-.399-.63-.878-.63-1.437 0-.391.134-.807.4-1.247.265-.44.733-1.01 1.404-1.709l2.118-2.139c-2.335-.852-4.194-2.386-5.578-4.602-1.384-2.215-2.075-4.763-2.075-7.642 0-3.802 1.104-6.909 3.312-9.32 2.209-2.411 5.053-3.617 8.534-3.617 3.467 0 6.304 1.209 8.513 3.627 2.208 2.418 3.312 5.522 3.312 9.31 0 3.774-1.097 6.884-3.291 9.33-2.195 2.446-4.977 3.67-8.345 3.67a22.5 22.5 0 01-1.384-.043zm1.195-21.03c-1.803 0-3.218.727-4.246 2.18-1.027 1.455-1.54 3.474-1.54 6.06 0 2.586.516 4.613 1.55 6.08 1.035 1.468 2.447 2.202 4.236 2.202 1.803 0 3.222-.73 4.256-2.19 1.035-1.461 1.552-3.492 1.552-6.092 0-2.586-.514-4.605-1.541-6.06-1.028-1.453-2.45-2.18-4.267-2.18z\"/></svg>"
},
"$:/core/images/mono-line": {
"title": "$:/core/images/mono-line",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-mono-line tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M60.437 84.523h.908c1.922 0 3.381.489 4.378 1.468.997.979 1.495 2.411 1.495 4.298 0 2.1-.525 3.612-1.575 4.538-1.05.925-2.785 1.388-5.206 1.388h-16.07c-2.456 0-4.2-.454-5.232-1.361-1.032-.908-1.548-2.43-1.548-4.565 0-2.065.516-3.542 1.548-4.432 1.032-.89 2.776-1.334 5.232-1.334h1.869l-2.19-6.247H20.983l-2.296 6.247h1.87c2.42 0 4.155.453 5.205 1.361 1.05.908 1.575 2.376 1.575 4.405 0 2.1-.525 3.612-1.575 4.538-1.05.925-2.785 1.388-5.206 1.388H6.781c-2.456 0-4.2-.463-5.233-1.388C.516 93.9 0 92.389 0 90.289c0-1.887.498-3.32 1.495-4.298.997-.979 2.456-1.468 4.378-1.468h.908l14.308-39.83h-4.271c-2.42 0-4.156-.462-5.206-1.387-1.05-.926-1.575-2.42-1.575-4.485 0-2.1.525-3.613 1.575-4.538 1.05-.926 2.785-1.388 5.206-1.388h20.021c3.168 0 5.392 1.708 6.674 5.125v.16l16.924 46.343zm-27.976-39.83L24.72 67.225h15.483l-7.742-22.53zM89.506 68.56v16.284h8.008c5.66 0 9.646-.623 11.96-1.869 2.313-1.245 3.47-3.328 3.47-6.246 0-2.955-1.103-5.055-3.31-6.3-2.207-1.246-6.069-1.869-11.586-1.869h-8.542zm27.229-5.926c3.88 1.423 6.727 3.372 8.542 5.846 1.815 2.474 2.723 5.633 2.723 9.477 0 3.239-.783 6.193-2.35 8.862-1.565 2.67-3.808 4.859-6.726 6.567-1.709.997-3.622 1.718-5.74 2.163-2.118.445-5.116.667-8.996.667h-27.87c-2.349 0-4.03-.463-5.045-1.388-1.014-.926-1.521-2.438-1.521-4.538 0-1.887.48-3.32 1.441-4.298.961-.979 2.367-1.468 4.218-1.468h.907v-39.83h-.907c-1.851 0-3.257-.498-4.218-1.494-.961-.997-1.441-2.456-1.441-4.378 0-2.065.516-3.568 1.548-4.512 1.032-.943 2.705-1.414 5.018-1.414h24.56c7.51 0 13.214 1.459 17.111 4.377 3.898 2.92 5.847 7.19 5.847 12.814 0 2.776-.597 5.223-1.789 7.341-1.192 2.118-2.963 3.853-5.312 5.206zm-27.23-18.26v13.455h7.208c4.378 0 7.466-.516 9.264-1.549 1.797-1.032 2.696-2.776 2.696-5.232 0-2.313-.81-4.004-2.43-5.072-1.619-1.068-4.244-1.602-7.874-1.602h-8.863z\"/></svg>"
},
"$:/core/images/new-button": {
"title": "$:/core/images/new-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-new-button tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M56 72H8.007C3.591 72 0 68.418 0 64c0-4.41 3.585-8 8.007-8H56V8.007C56 3.591 59.582 0 64 0c4.41 0 8 3.585 8 8.007V56h47.993c4.416 0 8.007 3.582 8.007 8 0 4.41-3.585 8-8.007 8H72v47.993c0 4.416-3.582 8.007-8 8.007-4.41 0-8-3.585-8-8.007V72z\"/></svg>"
},
"$:/core/images/new-here-button": {
"title": "$:/core/images/new-here-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-new-here-button tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><path d=\"M55.838 20.935l-3.572.938c-3.688.968-8.23 4.43-10.136 7.731L3.37 96.738c-1.905 3.3-.771 7.524 2.534 9.432l33.717 19.466c3.297 1.904 7.53.78 9.435-2.521l38.76-67.134c1.905-3.3 2.632-8.963 1.623-12.646L83.285 20.88c-1.009-3.68-4.821-5.884-8.513-4.915l-7.603 1.995.043.287c.524 3.394 2.053 7.498 4.18 11.55.418.163.829.36 1.23.59a8.864 8.864 0 014.438 8.169c.104.132.21.264.316.395l-.386.318a8.663 8.663 0 01-1.082 3.137c-2.42 4.192-7.816 5.608-12.051 3.163-4.12-2.379-5.624-7.534-3.476-11.671-2.177-4.394-3.788-8.874-4.543-12.964z\"/><path d=\"M69.554 44.76c-5.944-7.476-10.74-17.196-11.955-25.059-1.68-10.875 3.503-18.216 15.082-18.04 10.407.158 19.975 5.851 24.728 13.785 5.208 8.695 2.95 17.868-6.855 20.496l-2.037-7.601c4.232-1.134 4.999-4.248 2.24-8.853-3.37-5.626-10.465-9.848-18.146-9.965-6.392-.097-8.31 2.62-7.323 9.01.999 6.465 5.318 15.138 10.582 21.65l-.072.06c.559 1.553-4.17 6.44-5.938 4.888l-.005.004-.028-.034a1.323 1.323 0 01-.124-.135 2.618 2.618 0 01-.149-.205z\"/><rect width=\"16\" height=\"48\" x=\"96\" y=\"80\" rx=\"8\"/><rect width=\"48\" height=\"16\" x=\"80\" y=\"96\" rx=\"8\"/></g></svg>"
},
"$:/core/images/new-image-button": {
"title": "$:/core/images/new-image-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-new-image-button tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M81.362 73.627l15.826-27.41a2.626 2.626 0 00-.962-3.59l-50.01-28.872a2.626 2.626 0 00-3.588.961L30.058 36.49l10.04-5.261c3.042-1.595 6.771.114 7.55 3.46l3.607 17.702 9.88.85a5.25 5.25 0 014.571 3.77c.034.115.1.344.199.671.165.553.353 1.172.562 1.843.595 1.914 1.23 3.85 1.872 5.678.207.588.412 1.156.614 1.701.625 1.685 1.209 3.114 1.725 4.207.255.54.485.977.726 1.427.214.212.547.425 1.011.622 1.141.482 2.784.74 4.657.758.864.008 1.71-.034 2.492-.11.448-.043.753-.085.871-.104.315-.053.625-.077.927-.076zM37.47 2.649A5.257 5.257 0 0144.649.725l63.645 36.746a5.257 5.257 0 011.923 7.178L73.47 108.294a5.257 5.257 0 01-7.177 1.923L2.649 73.47a5.257 5.257 0 01-1.924-7.177L37.471 2.649zm42.837 50.49a5.25 5.25 0 105.25-9.092 5.25 5.25 0 00-5.25 9.093zM96 112h-7.993c-4.419 0-8.007-3.582-8.007-8 0-4.41 3.585-8 8.007-8H96v-7.993C96 83.588 99.582 80 104 80c4.41 0 8 3.585 8 8.007V96h7.993c4.419 0 8.007 3.582 8.007 8 0 4.41-3.585 8-8.007 8H112v7.993c0 4.419-3.582 8.007-8 8.007-4.41 0-8-3.585-8-8.007V112zM33.347 51.791c7.428 7.948 9.01 10.69 7.449 13.394-1.56 2.703-13.838-2.328-16.094 1.58-2.256 3.908-.907 3.258-2.437 5.908l19.73 11.39s-5.605-8.255-4.235-10.628c2.515-4.356 8.77-1.256 10.365-4.019 2.414-4.181-5.103-9.639-14.778-17.625z\"/></svg>"
},
"$:/core/images/new-journal-button": {
"title": "$:/core/images/new-journal-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-new-journal-button tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><path d=\"M102.545 112.818v11.818c0 1.306 1.086 2.364 2.425 2.364h6.06c1.34 0 2.425-1.058 2.425-2.364v-11.818h12.12c1.34 0 2.425-1.058 2.425-2.363v-5.91c0-1.305-1.085-2.363-2.424-2.363h-12.121V90.364c0-1.306-1.086-2.364-2.425-2.364h-6.06c-1.34 0-2.425 1.058-2.425 2.364v11.818h-12.12c-1.34 0-2.425 1.058-2.425 2.363v5.91c0 1.305 1.085 2.363 2.424 2.363h12.121zM60.016 4.965c-4.781-2.76-10.897-1.118-13.656 3.66L5.553 79.305A9.993 9.993 0 009.21 92.963l51.04 29.468c4.78 2.76 10.897 1.118 13.655-3.66l40.808-70.681a9.993 9.993 0 00-3.658-13.656L60.016 4.965zm-3.567 27.963a6 6 0 106-10.393 6 6 0 00-6 10.393zm31.697 17.928a6 6 0 106-10.392 6 6 0 00-6 10.392z\"/><text class=\"tc-fill-background\" font-family=\"Helvetica\" font-size=\"47.172\" font-weight=\"bold\" transform=\"rotate(30 25.742 95.82)\"><tspan x=\"42\" y=\"77.485\" text-anchor=\"middle\"><<now \"DD\">></tspan></text></g></svg>"
},
"$:/core/images/opacity": {
"title": "$:/core/images/opacity",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-opacity tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><path d=\"M102.362 65a51.595 51.595 0 01-1.942 6H82.584a35.867 35.867 0 002.997-6h16.78zm.472-2c.423-1.961.734-3.963.929-6H87.656a35.78 35.78 0 01-1.368 6h16.546zm-3.249 10a51.847 51.847 0 01-3.135 6H75.812a36.205 36.205 0 005.432-6h18.341zm-4.416 8c-1.424 2.116-3 4.12-4.71 6H60.46a35.843 35.843 0 0012.874-6h21.834zm-7.513-34h16.107C101.247 20.627 79.033 0 52 0 23.281 0 0 23.281 0 52c0 25.228 17.965 46.26 41.8 51h20.4a51.66 51.66 0 0015.875-6H39v-2h42.25a52.257 52.257 0 007.288-6H39v-2h4.539C27.739 83.194 16 68.968 16 52c0-19.882 16.118-36 36-36 18.186 0 33.222 13.484 35.656 31zm.22 2h16.039a52.823 52.823 0 010 6H87.877a36.483 36.483 0 000-6z\"/><path d=\"M76 128c28.719 0 52-23.281 52-52s-23.281-52-52-52-52 23.281-52 52 23.281 52 52 52zm0-16c19.882 0 36-16.118 36-36S95.882 40 76 40 40 56.118 40 76s16.118 36 36 36z\"/><path d=\"M37 58h53v4H37v-4zm3-8h53v4H40v-4zm0-8h53v4H40v-4zm-8 24h53v4H32v-4zm-2 8h53v4H30v-4zm-3 8h53v4H27v-4z\"/></g></svg>"
},
"$:/core/images/open-window": {
"title": "$:/core/images/open-window",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-open-window tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><path d=\"M16 112h88.994c3.87 0 7.006 3.59 7.006 8 0 4.418-3.142 8-7.006 8H7.006C3.136 128 0 124.41 0 120a9.321 9.321 0 010-.01V24.01C0 19.586 3.59 16 8 16c4.418 0 8 3.584 8 8.01V112z\"/><path d=\"M96 43.196V56a8 8 0 1016 0V24c0-4.41-3.585-8-8.007-8H72.007C67.588 16 64 19.582 64 24c0 4.41 3.585 8 8.007 8H84.57l-36.3 36.299a8 8 0 00-.001 11.316c3.117 3.117 8.19 3.123 11.316-.003L96 43.196zM32 7.999C32 3.581 35.588 0 40 0h80c4.419 0 8 3.588 8 8v80c0 4.419-3.588 8-8 8H40c-4.419 0-8-3.588-8-8V8z\"/></g></svg>"
},
"$:/core/images/options-button": {
"title": "$:/core/images/options-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-options-button tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M110.488 76a47.712 47.712 0 01-5.134 12.384l6.724 6.724c3.123 3.123 3.132 8.192.011 11.313l-5.668 5.668c-3.12 3.12-8.186 3.117-11.313-.01l-6.724-6.725c-3.82 2.258-7.98 4-12.384 5.134v9.505c0 4.417-3.578 8.007-7.992 8.007h-8.016C55.58 128 52 124.415 52 119.993v-9.505a47.712 47.712 0 01-12.384-5.134l-6.724 6.725c-3.123 3.122-8.192 3.131-11.313.01l-5.668-5.668c-3.12-3.12-3.116-8.186.01-11.313l6.725-6.724c-2.257-3.82-4-7.98-5.134-12.384H8.007C3.591 76 0 72.422 0 68.01v-8.017C0 55.58 3.585 52 8.007 52h9.505a47.712 47.712 0 015.134-12.383l-6.724-6.725c-3.123-3.122-3.132-8.191-.011-11.312l5.668-5.669c3.12-3.12 8.186-3.116 11.313.01l6.724 6.725c3.82-2.257 7.98-4 12.384-5.134V8.007C52 3.591 55.578 0 59.992 0h8.016C72.42 0 76 3.585 76 8.007v9.505a47.712 47.712 0 0112.384 5.134l6.724-6.724c3.123-3.123 8.192-3.132 11.313-.01l5.668 5.668c3.12 3.12 3.116 8.186-.01 11.312l-6.725 6.725c2.257 3.82 4 7.979 5.134 12.383h9.505c4.416 0 8.007 3.578 8.007 7.992v8.017c0 4.411-3.585 7.991-8.007 7.991h-9.505zM64 96c17.673 0 32-14.327 32-32 0-17.673-14.327-32-32-32-17.673 0-32 14.327-32 32 0 17.673 14.327 32 32 32z\"/></svg>"
},
"$:/core/images/paint": {
"title": "$:/core/images/paint",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-paint tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M83.527 76.19C90.43 69.287 91.892 59 87.91 50.665l37.903-37.902c2.919-2.92 2.913-7.659 0-10.572a7.474 7.474 0 00-10.572 0L77.338 40.093c-8.335-3.982-18.622-2.521-25.526 4.383l31.715 31.715zm-2.643 2.644L49.169 47.119S8.506 81.243 0 80.282c0 0 3.782 5.592 6.827 8.039 14.024-5.69 37.326-24.6 37.326-24.6l.661.66S19.45 90.222 9.18 92.047c1.222 1.44 4.354 4.053 6.247 5.776 5.417-1.488 34.733-28.57 34.733-28.57l.661.66-32.407 31.022 5.285 5.286L56.106 75.2l.662.66s-27.864 30.536-28.684 32.432c0 0 6.032 6.853 7.569 7.824.702-2.836 27.884-33.485 27.884-33.485l.661.66s-20.597 23.755-24.964 36.732c3.21 3.549 7.5 5.137 10.926 6.298-2.19-11.817 30.724-47.487 30.724-47.487z\"/></svg>"
},
"$:/core/images/palette": {
"title": "$:/core/images/palette",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-palette tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M80.247 39.182a93.52 93.52 0 00-16.228-1.4C28.662 37.781 0 57.131 0 81.002c0 9.642 4.676 18.546 12.58 25.735C23.504 91.19 26.34 72.395 36.89 63.562c15.183-12.713 26.538-7.828 26.538-7.828l16.82-16.552zm26.535 9.655c13.049 7.913 21.257 19.392 21.257 32.166 0 9.35.519 17.411-11.874 25.08-10.797 6.681-3.824-6.536-11.844-10.898s-19.946 1.308-18.213 7.906c3.2 12.181 19.422 11.455 6.314 16.658-13.107 5.202-18.202 4.476-28.403 4.476-7.821 0-15.315-.947-22.243-2.68 9.844-4.197 27.88-12.539 33.354-19.456C82.788 92.409 87.37 80 83.324 72.484c-.194-.359 11.215-11.668 23.458-23.647zM1.134 123.867l-.66.002c33.479-14.94 22.161-64.226 58.818-64.226.317 1.418.644 2.944 1.062 4.494-25.907-4.166-23.567 48.031-59.22 59.73zm.713-.007c38.872-.506 78.152-22.347 78.152-44.813-9.27 0-14.073-3.48-16.816-7.942-16.597-7.003-30.365 45.715-61.336 52.755zm65.351-64.008c-4.45 4.115 4.886 16.433 11.318 11.318l45.27-45.27c11.317-11.318 0-22.635-11.318-11.318-11.317 11.318-33.518 34.405-45.27 45.27z\"/></svg>"
},
"$:/core/images/permalink-button": {
"title": "$:/core/images/permalink-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-permalink-button tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M80.483 48l-7.387 32h-25.58l7.388-32h25.58zm3.694-16l5.624-24.358c.993-4.303 5.29-6.996 9.596-6.002 4.296.992 6.988 5.293 5.994 9.602L100.598 32h3.403c4.41 0 7.999 3.582 7.999 8 0 4.41-3.581 8-8 8h-7.096l-7.387 32H104c4.41 0 7.999 3.582 7.999 8 0 4.41-3.581 8-8 8H85.824l-5.624 24.358c-.993 4.303-5.29 6.996-9.596 6.002-4.296-.992-6.988-5.293-5.994-9.602L69.402 96h-25.58L38.2 120.358c-.993 4.303-5.29 6.996-9.596 6.002-4.296-.992-6.988-5.293-5.994-9.602L27.402 96h-3.403C19.59 96 16 92.418 16 88c0-4.41 3.581-8 8-8h7.096l7.387-32H24C19.59 48 16 44.418 16 40c0-4.41 3.581-8 8-8h18.177l5.624-24.358c.993-4.303 5.29-6.996 9.596-6.002 4.296.992 6.988 5.293 5.994 9.602L58.598 32h25.58z\"/></svg>"
},
"$:/core/images/permaview-button": {
"title": "$:/core/images/permaview-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-permaview-button tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M81.483 48l-1.846 8h-5.58l1.847-8h5.58zm3.694-16l5.624-24.358c.993-4.303 5.29-6.996 9.596-6.002 4.296.992 6.988 5.293 5.994 9.602L101.598 32h2.403c4.41 0 7.999 3.582 7.999 8 0 4.41-3.581 8-8 8h-6.096l-1.847 8h7.944c4.41 0 7.999 3.582 7.999 8 0 4.41-3.581 8-8 8H92.364l-1.846 8H104c4.41 0 7.999 3.582 7.999 8 0 4.41-3.581 8-8 8H86.824l-5.624 24.358c-.993 4.303-5.29 6.996-9.596 6.002-4.296-.992-6.988-5.293-5.994-9.602L70.402 96h-5.58L59.2 120.358c-.993 4.303-5.29 6.996-9.596 6.002-4.296-.992-6.988-5.293-5.994-9.602L48.402 96h-5.58L37.2 120.358c-.993 4.303-5.29 6.996-9.596 6.002-4.296-.992-6.988-5.293-5.994-9.602L26.402 96h-2.403C19.59 96 16 92.418 16 88c0-4.41 3.581-8 8-8h6.096l1.847-8h-7.944C19.59 72 16 68.418 16 64c0-4.41 3.581-8 8-8h11.637l1.846-8H24C19.59 48 16 44.418 16 40c0-4.41 3.581-8 8-8h17.177l5.624-24.358c.993-4.303 5.29-6.996 9.596-6.002 4.296.992 6.988 5.293 5.994 9.602L57.598 32h5.58L68.8 7.642c.993-4.303 5.29-6.996 9.596-6.002 4.296.992 6.988 5.293 5.994 9.602L79.598 32h5.58zM53.904 48l-1.847 8h5.58l1.846-8h-5.579zm22.039 24l-1.847 8h-5.58l1.847-8h5.58zm-27.58 0l-1.846 8h5.579l1.847-8h-5.58z\"/></svg>"
},
"$:/core/images/picture": {
"title": "$:/core/images/picture",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-picture tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M112 68.233v-48.23A4.001 4.001 0 00107.997 16H20.003A4.001 4.001 0 0016 20.003v38.31l9.241-14.593c2.8-4.422 9.023-5.008 12.6-1.186l18.247 20.613 13.687-6.407a8 8 0 018.903 1.492 264.97 264.97 0 002.92 2.739 249.44 249.44 0 006.798 6.066 166.5 166.5 0 002.106 1.778c2.108 1.747 3.967 3.188 5.482 4.237.748.518 1.383.92 2.044 1.33.444.117 1.046.144 1.809.05 1.873-.233 4.238-1.144 6.723-2.547a36.016 36.016 0 003.205-2.044c.558-.4.93-.686 1.07-.802.376-.31.765-.577 1.165-.806zM0 8.007A8.01 8.01 0 018.007 0h111.986A8.01 8.01 0 01128 8.007v111.986a8.01 8.01 0 01-8.007 8.007H8.007A8.01 8.01 0 010 119.993V8.007zM95 42a8 8 0 100-16 8 8 0 000 16zM32 76c15.859 4.83 20.035 7.244 20.035 12S32 95.471 32 102.347c0 6.876 1.285 4.99 1.285 9.653H68s-13.685-6.625-13.685-10.8c0-7.665 10.615-8.34 10.615-13.2 0-7.357-14.078-8.833-32.93-12z\"/></svg>"
},
"$:/core/images/plugin-generic-language": {
"title": "$:/core/images/plugin-generic-language",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M61.207 68.137c-4.324 2.795-6.999 6.656-6.999 10.921 0 7.906 9.19 14.424 21.042 15.336 2.162 3.902 8.598 6.785 16.318 7.01-5.126-1.125-9.117-3.742-10.62-7.01C92.805 93.487 102 86.967 102 79.059c0-8.53-10.699-15.445-23.896-15.445-6.599 0-12.572 1.729-16.897 4.524zm12.794-14.158c-4.324 2.795-10.298 4.524-16.897 4.524-2.619 0-5.14-.272-7.497-.775-3.312 2.25-8.383 3.69-14.067 3.69l-.255-.002c4.119-.892 7.511-2.747 9.478-5.13-6.925-2.704-11.555-7.617-11.555-13.228 0-8.53 10.699-15.445 23.896-15.445C70.301 27.613 81 34.528 81 43.058c0 4.265-2.675 8.126-6.999 10.921zM64 0l54.56 32v64L64 128 9.44 96V32L64 0z\"/></svg>"
},
"$:/core/images/plugin-generic-plugin": {
"title": "$:/core/images/plugin-generic-plugin",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M40.397 76.446V95.34h14.12l-.001-.005a6.912 6.912 0 005.364-11.593l.046-.023a6.912 6.912 0 119.979.526l.086.055a6.914 6.914 0 004.408 10.948l-.023.092h21.32V75.568l-.15.038a6.912 6.912 0 00-11.593-5.364l-.022-.046a6.912 6.912 0 11.526-9.979l.055-.086a6.914 6.914 0 0010.948-4.408c.079.018.158.038.236.059v-15.74h-21.32l.023-.094a6.914 6.914 0 01-4.408-10.947 10.23 10.23 0 00-.086-.055 6.912 6.912 0 10-9.979-.526l-.046.023a6.912 6.912 0 01-5.364 11.593l.001.005h-14.12v12.847A6.912 6.912 0 0129.5 59.843l-.054.086a6.912 6.912 0 10-.526 9.979l.023.046a6.912 6.912 0 0111.455 6.492zM64 0l54.56 32v64L64 128 9.44 96V32L64 0z\"/></svg>"
},
"$:/core/images/plugin-generic-theme": {
"title": "$:/core/images/plugin-generic-theme",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M29.408 91.472L51.469 69.41l-.004-.005a2.22 2.22 0 01.004-3.146c.87-.87 2.281-.872 3.147-.005l9.465 9.464a2.22 2.22 0 01-.005 3.147c-.87.87-2.28.871-3.147.005l-.005-.005-22.061 22.062a6.686 6.686 0 11-9.455-9.455zM60.802 66.38c-2.436-2.704-4.465-5.091-5.817-6.869-6.855-9.014-10.313-4.268-14.226 0-3.913 4.268 1.03 7.726-2.683 10.741-3.713 3.015-3.484 4.06-9.752-1.455-6.267-5.516-6.7-7.034-3.823-10.181 2.877-3.147 5.281 1.808 11.159-3.785 5.877-5.593.94-10.55.94-10.55s12.237-25.014 28.588-23.167c16.351 1.848-6.186-2.392-11.792 17.226-2.4 8.4.447 6.42 4.998 9.968 1.394 1.086 6.03 4.401 11.794 8.685l20.677-20.676 1.615-4.766 7.84-4.689 3.151 3.152-4.688 7.84-4.766 1.615-20.224 20.223c12.663 9.547 28.312 22.146 28.312 26.709 0 7.217-3.071 11.526-9.535 9.164-4.693-1.715-18.768-15.192-28.753-25.897l-2.893 2.893-3.151-3.152 3.029-3.029zM63.953 0l54.56 32v64l-54.56 32-54.56-32V32l54.56-32z\"/></svg>"
},
"$:/core/images/preview-closed": {
"title": "$:/core/images/preview-closed",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-preview-closed tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><path d=\"M.088 64a7.144 7.144 0 001.378 5.458C16.246 88.818 39.17 100.414 64 100.414c24.83 0 47.753-11.596 62.534-30.956A7.144 7.144 0 00127.912 64C110.582 78.416 88.304 87.086 64 87.086 39.696 87.086 17.418 78.416.088 64z\"/><rect width=\"4\" height=\"16\" x=\"62\" y=\"96\" rx=\"4\"/><rect width=\"4\" height=\"16\" x=\"78\" y=\"93\" rx=\"4\" transform=\"rotate(-5 80 101)\"/><rect width=\"4\" height=\"16\" x=\"46\" y=\"93\" rx=\"4\" transform=\"rotate(5 48 101)\"/><rect width=\"4\" height=\"16\" x=\"30\" y=\"88\" rx=\"4\" transform=\"rotate(10 32 96)\"/><rect width=\"4\" height=\"16\" x=\"94\" y=\"88\" rx=\"4\" transform=\"rotate(-10 96 96)\"/><rect width=\"4\" height=\"16\" x=\"110\" y=\"80\" rx=\"4\" transform=\"rotate(-20 112 88)\"/><rect width=\"4\" height=\"16\" x=\"14\" y=\"80\" rx=\"4\" transform=\"rotate(20 16 88)\"/></g></svg>"
},
"$:/core/images/preview-open": {
"title": "$:/core/images/preview-open",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-preview-open tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><path d=\"M64.11 99.588c-24.83 0-47.754-11.596-62.534-30.957a7.148 7.148 0 010-8.675C16.356 40.596 39.28 29 64.11 29c24.83 0 47.753 11.596 62.534 30.956a7.148 7.148 0 010 8.675c-14.78 19.36-37.703 30.957-62.534 30.957zm46.104-32.007c1.44-1.524 1.44-3.638 0-5.162C99.326 50.9 82.439 44 64.147 44S28.968 50.9 18.08 62.42c-1.44 1.523-1.44 3.637 0 5.16C28.968 79.1 45.855 86 64.147 86s35.179-6.9 46.067-18.42z\"/><path d=\"M63.5 88C76.479 88 87 77.479 87 64.5S76.479 41 63.5 41 40 51.521 40 64.5 50.521 88 63.5 88z\"/></g></svg>"
},
"$:/core/images/print-button": {
"title": "$:/core/images/print-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-print-button tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><path d=\"M112 71V30.5h-.032c-.035-2-.816-3.99-2.343-5.516L86.998 2.357A7.978 7.978 0 0081 .02V0H24a8 8 0 00-8 8v63h8V8h57v14.5c0 4.422 3.582 8 8 8h15V71h8z\"/><rect width=\"64\" height=\"8\" x=\"32\" y=\"36\" rx=\"4\"/><rect width=\"64\" height=\"8\" x=\"32\" y=\"52\" rx=\"4\"/><rect width=\"40\" height=\"8\" x=\"32\" y=\"20\" rx=\"4\"/><path d=\"M0 80.005C0 71.165 7.156 64 16 64h96c8.836 0 16 7.155 16 16.005v31.99c0 8.84-7.156 16.005-16 16.005H16c-8.836 0-16-7.155-16-16.005v-31.99zM104 96a8 8 0 100-16 8 8 0 000 16z\"/></g></svg>"
},
"$:/core/images/quote": {
"title": "$:/core/images/quote",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-quote tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M51.219 117.713V62.199H27.427c0-8.891 1.683-16.401 5.047-22.53 3.365-6.127 9.613-10.754 18.745-13.878V2c-7.45.961-14.36 3.184-20.728 6.669-6.368 3.484-11.835 7.87-16.401 13.157C9.524 27.113 5.98 33.241 3.456 40.21.933 47.18-.21 54.63.03 62.56v55.153H51.22zm76.781 0V62.199h-23.791c0-8.891 1.682-16.401 5.046-22.53 3.365-6.127 9.613-10.754 18.745-13.878V2c-7.45.961-14.359 3.184-20.727 6.669-6.369 3.484-11.836 7.87-16.402 13.157-4.566 5.287-8.11 11.415-10.634 18.384-2.523 6.97-3.665 14.42-3.424 22.35v55.153H128z\"/></svg>"
},
"$:/core/images/refresh-button": {
"title": "$:/core/images/refresh-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-refresh-button tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M106.369 39.433c10.16 20.879 6.57 46.764-10.771 64.106-21.87 21.87-57.327 21.87-79.196 0-21.87-21.87-21.87-57.326 0-79.196a8 8 0 1111.314 11.314c-15.621 15.62-15.621 40.947 0 56.568 15.62 15.621 40.947 15.621 56.568 0C97.72 78.79 99.6 58.175 89.924 42.73l-6.44 12.264a8 8 0 11-14.166-7.437L84.435 18.76a8 8 0 0110.838-3.345l28.873 15.345a8 8 0 11-7.51 14.129l-10.267-5.457zm-8.222-12.368c-.167-.19-.336-.38-.506-.57l.96-.296-.454.866z\"/></svg>"
},
"$:/core/images/right-arrow": {
"title": "$:/core/images/right-arrow",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-right-arrow tc-image-button\" viewBox=\"0 0 128 128\"><path d=\"M99.069 64.173c0 2.027-.77 4.054-2.316 5.6l-55.98 55.98a7.92 7.92 0 01-11.196 0c-3.085-3.086-3.092-8.105 0-11.196l50.382-50.382-50.382-50.382a7.92 7.92 0 010-11.195c3.086-3.085 8.104-3.092 11.196 0l55.98 55.98a7.892 7.892 0 012.316 5.595z\"/></svg>"
},
"$:/core/images/rotate-left": {
"title": "$:/core/images/rotate-left",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-rotate-left tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><rect width=\"32\" height=\"80\" rx=\"8\"/><rect width=\"80\" height=\"32\" x=\"48\" y=\"96\" rx=\"8\"/><path d=\"M61.32 36.65c19.743 2.45 35.023 19.287 35.023 39.693a4 4 0 01-8 0c0-15.663-11.254-28.698-26.117-31.46l3.916 3.916a4 4 0 11-5.657 5.657L49.172 43.142a4 4 0 010-5.657l11.313-11.313a4 4 0 115.657 5.656l-4.821 4.822z\"/></g></svg>"
},
"$:/core/images/save-button": {
"title": "$:/core/images/save-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-save-button tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M120.783 34.33c4.641 8.862 7.266 18.948 7.266 29.646 0 35.347-28.653 64-64 64-35.346 0-64-28.653-64-64 0-35.346 28.654-64 64-64 18.808 0 35.72 8.113 47.43 21.03l2.68-2.68c3.13-3.13 8.197-3.132 11.321-.008 3.118 3.118 3.121 8.193-.007 11.32l-4.69 4.691zm-12.058 12.058a47.876 47.876 0 013.324 17.588c0 26.51-21.49 48-48 48s-48-21.49-48-48 21.49-48 48-48c14.39 0 27.3 6.332 36.098 16.362L58.941 73.544 41.976 56.578c-3.127-3.127-8.201-3.123-11.32-.005-3.123 3.124-3.119 8.194.006 11.319l22.617 22.617a7.992 7.992 0 005.659 2.347c2.05 0 4.101-.783 5.667-2.349l44.12-44.12z\"/></svg>"
},
"$:/core/images/size": {
"title": "$:/core/images/size",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-size tc-image-button\" viewBox=\"0 0 128 128\"><path d=\"M92.343 26l-9.171 9.172a4 4 0 105.656 5.656l16-16a4 4 0 000-5.656l-16-16a4 4 0 10-5.656 5.656L92.343 18H22a4 4 0 00-4 4v70.343l-9.172-9.171a4 4 0 10-5.656 5.656l16 16a4 4 0 005.656 0l16-16a4 4 0 10-5.656-5.656L26 92.343V22l-4 4h70.343zM112 52v64l4-4H52a4 4 0 100 8h64a4 4 0 004-4V52a4 4 0 10-8 0z\"/></svg>"
},
"$:/core/images/spiral": {
"title": "$:/core/images/spiral",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-spiral tc-image-button\" viewBox=\"0 0 128 128\"><path d=\"M64.534 68.348c3.39 0 6.097-2.62 6.476-5.968l-4.755-.538 4.75.583c.377-3.07-1.194-6.054-3.89-7.78-2.757-1.773-6.34-2.01-9.566-.7-3.46 1.403-6.14 4.392-7.35 8.148l-.01.026c-1.3 4.08-.72 8.64 1.58 12.52 2.5 4.2 6.77 7.2 11.76 8.27 5.37 1.15 11.11-.05 15.83-3.31 5.04-3.51 8.46-9.02 9.45-15.3 1.05-6.7-.72-13.63-4.92-19.19l.02.02c-4.42-5.93-11.2-9.82-18.78-10.78-7.96-1.01-16.13 1.31-22.59 6.43-6.81 5.39-11.18 13.41-12.11 22.26-.98 9.27 1.87 18.65 7.93 26.02 6.32 7.69 15.6 12.56 25.74 13.48 10.54.96 21.15-2.42 29.45-9.4l.01-.01c8.58-7.25 13.94-17.78 14.86-29.21.94-11.84-2.96-23.69-10.86-32.9-8.19-9.5-19.95-15.36-32.69-16.27-13.16-.94-26.24 3.49-36.34 12.34l.01-.01c-10.41 9.08-16.78 22.1-17.68 36.15-.93 14.44 4.03 28.77 13.79 39.78 10.03 11.32 24.28 18.2 39.6 19.09 15.73.92 31.31-4.56 43.24-15.234 12.23-10.954 19.61-26.44 20.5-43.074a4.785 4.785 0 00-4.52-5.03 4.778 4.778 0 00-5.03 4.52c-.75 14.1-7 27.2-17.33 36.45-10.03 8.98-23.11 13.58-36.3 12.81-12.79-.75-24.67-6.48-33-15.89-8.07-9.11-12.17-20.94-11.41-32.827.74-11.52 5.942-22.15 14.43-29.54l.01-.01c8.18-7.17 18.74-10.75 29.35-9.998 10.21.726 19.6 5.41 26.11 12.96 6.24 7.273 9.32 16.61 8.573 25.894-.718 8.9-4.88 17.064-11.504 22.66l.01-.007c-6.36 5.342-14.44 7.92-22.425 7.19-7.604-.68-14.52-4.314-19.21-10.027-4.44-5.4-6.517-12.23-5.806-18.94.67-6.3 3.76-11.977 8.54-15.766 4.46-3.54 10.05-5.128 15.44-4.44 5.03.63 9.46 3.18 12.32 7.01l.02.024c2.65 3.5 3.75 7.814 3.1 11.92-.59 3.71-2.58 6.925-5.45 8.924-2.56 1.767-5.61 2.403-8.38 1.81-2.42-.516-4.42-1.92-5.53-3.79-.93-1.56-1.15-3.3-.69-4.75l-4.56-1.446L59.325 65c.36-1.12 1.068-1.905 1.84-2.22.25-.103.48-.14.668-.13.06.006.11.015.14.025.01 0 .01 0-.01-.01a1.047 1.047 0 01-.264-.332c-.15-.29-.23-.678-.18-1.11l-.005.04c.15-1.332 1.38-2.523 3.035-2.523-2.65 0-4.79 2.144-4.79 4.787s2.14 4.785 4.78 4.785z\"/></svg>"
},
"$:/core/images/stamp": {
"title": "$:/core/images/stamp",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-stamp tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M49.733 64H16.01C11.584 64 8 67.583 8 72.003V97h112V72.003A8 8 0 00111.99 64H78.267A22.813 22.813 0 0175.5 53.077c0-6.475 2.687-12.324 7.009-16.497A22.818 22.818 0 0087 22.952C87 10.276 76.703 0 64 0S41 10.276 41 22.952c0 5.103 1.669 9.817 4.491 13.628 4.322 4.173 7.009 10.022 7.009 16.497 0 3.954-1.002 7.675-2.767 10.923zM8 104h112v8H8v-8z\"/></svg>"
},
"$:/core/images/star-filled": {
"title": "$:/core/images/star-filled",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-star-filled tc-image-button\" viewBox=\"0 0 128 128\"><path d=\"M61.836 96.823l37.327 27.287c2.72 1.99 6.379-.69 5.343-3.912L90.29 75.988l-1.26 3.91 37.285-27.345c2.718-1.993 1.32-6.327-2.041-6.33l-46.113-.036 3.3 2.416L67.176 4.416c-1.04-3.221-5.563-3.221-6.604 0L46.29 48.603l3.3-2.416-46.113.036c-3.362.003-4.759 4.337-2.04 6.33L38.72 79.898l-1.26-3.91-14.216 44.21c-1.036 3.223 2.622 5.901 5.343 3.912l37.326-27.287h-4.078z\"/></svg>"
},
"$:/core/images/storyview-classic": {
"title": "$:/core/images/storyview-classic",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-storyview-classic tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M8.007 0A8.01 8.01 0 000 8.007v111.986A8.01 8.01 0 008.007 128h111.986a8.01 8.01 0 008.007-8.007V8.007A8.01 8.01 0 00119.993 0H8.007zm15.992 16C19.581 16 16 19.578 16 23.992v16.016C16 44.422 19.588 48 24 48h80c4.419 0 8-3.578 8-7.992V23.992c0-4.414-3.588-7.992-8-7.992H24zm0 48C19.581 64 16 67.59 16 72c0 4.418 3.588 8 8 8h80c4.419 0 8-3.59 8-8 0-4.418-3.588-8-8-8H24zm0 32C19.581 96 16 99.59 16 104c0 4.418 3.588 8 8 8h80c4.419 0 8-3.59 8-8 0-4.418-3.588-8-8-8H24z\"/></svg>"
},
"$:/core/images/storyview-pop": {
"title": "$:/core/images/storyview-pop",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-storyview-pop tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M8.007 0A8.01 8.01 0 000 8.007v111.986A8.01 8.01 0 008.007 128h111.986a8.01 8.01 0 008.007-8.007V8.007A8.01 8.01 0 00119.993 0H8.007zm15.992 16C19.581 16 16 19.578 16 23.992v16.016C16 44.422 19.588 48 24 48h80c4.419 0 8-3.578 8-7.992V23.992c0-4.414-3.588-7.992-8-7.992H24zm-7.99 40C11.587 56 8 59.578 8 63.992v16.016C8 84.422 11.584 88 16.01 88h95.98c4.424 0 8.01-3.578 8.01-7.992V63.992c0-4.414-3.584-7.992-8.01-7.992H16.01zM24 96C19.581 96 16 99.59 16 104c0 4.418 3.588 8 8 8h80c4.419 0 8-3.59 8-8 0-4.418-3.588-8-8-8H24zm0-32C19.581 64 16 67.59 16 72c0 4.418 3.588 8 8 8h80c4.419 0 8-3.59 8-8 0-4.418-3.588-8-8-8H24z\"/></svg>"
},
"$:/core/images/storyview-zoomin": {
"title": "$:/core/images/storyview-zoomin",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-storyview-zoomin tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M8.007 0A8.01 8.01 0 000 8.007v111.986A8.01 8.01 0 008.007 128h111.986a8.01 8.01 0 008.007-8.007V8.007A8.01 8.01 0 00119.993 0H8.007zm15.992 16A8 8 0 0016 24.009V71.99C16 76.414 19.588 80 24 80h80a8 8 0 008-8.009V24.01c0-4.423-3.588-8.009-8-8.009H24z\"/></svg>"
},
"$:/core/images/strikethrough": {
"title": "$:/core/images/strikethrough",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-strikethrough tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><path d=\"M92.794 38.726h15.422c-.229-6.74-1.514-12.538-3.856-17.393-2.342-4.855-5.54-8.881-9.596-12.08-4.055-3.199-8.767-5.54-14.136-7.025C75.258.743 69.433 0 63.15 0a62.76 62.76 0 00-16.364 2.142C41.474 3.57 36.733 5.74 32.564 8.653c-4.17 2.913-7.511 6.626-10.025 11.138-2.513 4.512-3.77 9.853-3.77 16.022 0 5.597 1.115 10.252 3.342 13.965 2.228 3.712 5.198 6.74 8.91 9.081 3.713 2.342 7.911 4.227 12.595 5.655a194.641 194.641 0 0014.308 3.77c4.855 1.085 9.624 2.142 14.308 3.17 4.683 1.028 8.881 2.37 12.594 4.027 3.713 1.656 6.683 3.798 8.91 6.425 2.228 2.628 3.342 6.055 3.342 10.281 0 4.456-.914 8.111-2.742 10.967a19.953 19.953 0 01-7.197 6.768c-2.97 1.657-6.311 2.828-10.024 3.513a60.771 60.771 0 01-11.052 1.028c-4.57 0-9.025-.571-13.366-1.713-4.34-1.143-8.139-2.913-11.394-5.312-3.256-2.4-5.884-5.455-7.883-9.168-1.999-3.712-2.998-8.139-2.998-13.28H15c0 7.426 1.342 13.852 4.027 19.278 2.684 5.426 6.34 9.881 10.966 13.365 4.627 3.484 9.996 6.083 16.107 7.797 6.112 1.713 12.595 2.57 19.449 2.57 5.597 0 11.223-.657 16.878-1.97 5.655-1.314 10.767-3.428 15.336-6.34 4.57-2.914 8.31-6.683 11.224-11.31 2.913-4.626 4.37-10.195 4.37-16.707 0-6.054-1.115-11.08-3.342-15.079-2.228-3.998-5.198-7.31-8.91-9.938-3.713-2.627-7.911-4.712-12.595-6.254a170.83 170.83 0 00-14.308-4.027 549.669 549.669 0 00-14.308-3.17c-4.683-.971-8.881-2.2-12.594-3.684-3.713-1.485-6.683-3.399-8.91-5.74-2.228-2.342-3.342-5.398-3.342-9.168 0-3.998.771-7.34 2.313-10.024 1.543-2.685 3.599-4.826 6.17-6.426 2.57-1.599 5.51-2.741 8.824-3.427a49.767 49.767 0 0110.11-1.028c8.453 0 15.393 1.97 20.819 5.912 5.426 3.94 8.596 10.31 9.51 19.106z\"/><path d=\"M5 54h118v16H5z\"/></g></svg>"
},
"$:/core/images/subscript": {
"title": "$:/core/images/subscript",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-subscript tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M2.272 16h19.91l21.649 33.675L66.414 16h18.708L53.585 61.969l33.809 49.443H67.082L43.296 74.93l-24.187 36.48H0L33.808 61.97 2.272 16zM127.91 128.412H85.328c.059-5.168 1.306-9.681 3.741-13.542 2.435-3.86 5.761-7.216 9.978-10.066a112.388 112.388 0 016.325-4.321 50.09 50.09 0 006.058-4.499c1.841-1.603 3.356-3.34 4.543-5.211 1.188-1.871 1.812-4.024 1.871-6.46 0-1.128-.133-2.33-.4-3.607a9.545 9.545 0 00-1.56-3.564c-.772-1.098-1.84-2.019-3.207-2.761-1.366-.743-3.148-1.114-5.345-1.114-2.02 0-3.697.4-5.033 1.203-1.337.801-2.406 1.9-3.208 3.296-.801 1.396-1.395 3.044-1.781 4.944-.386 1.9-.609 3.95-.668 6.147H86.486c0-3.445.46-6.637 1.38-9.577.921-2.94 2.302-5.478 4.143-7.617 1.841-2.138 4.083-3.815 6.726-5.033 2.643-1.217 5.716-1.826 9.22-1.826 3.802 0 6.979.623 9.533 1.87 2.554 1.248 4.617 2.822 6.191 4.722 1.574 1.9 2.688 3.965 3.341 6.192.653 2.227.98 4.35.98 6.37 0 2.494-.386 4.75-1.158 6.77a21.803 21.803 0 01-3.118 5.568 31.516 31.516 0 01-4.454 4.677 66.788 66.788 0 01-5.167 4.009 139.198 139.198 0 01-5.346 3.563 79.237 79.237 0 00-4.944 3.386c-1.514 1.128-2.836 2.3-3.964 3.518-1.129 1.218-1.9 2.51-2.317 3.876h30.379v9.087z\"/></svg>"
},
"$:/core/images/superscript": {
"title": "$:/core/images/superscript",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-superscript tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M2.272 16h19.91l21.649 33.675L66.414 16h18.708L53.585 61.969l33.809 49.443H67.082L43.296 74.93l-24.187 36.48H0L33.808 61.97 2.272 16zM127.91 63.412H85.328c.059-5.168 1.306-9.681 3.741-13.542 2.435-3.86 5.761-7.216 9.978-10.066a112.388 112.388 0 016.325-4.321 50.09 50.09 0 006.058-4.499c1.841-1.603 3.356-3.34 4.543-5.211 1.188-1.871 1.812-4.024 1.871-6.46 0-1.128-.133-2.33-.4-3.607a9.545 9.545 0 00-1.56-3.564c-.772-1.098-1.84-2.019-3.207-2.761-1.366-.743-3.148-1.114-5.345-1.114-2.02 0-3.697.4-5.033 1.203-1.337.801-2.406 1.9-3.208 3.296-.801 1.396-1.395 3.044-1.781 4.944-.386 1.9-.609 3.95-.668 6.147H86.486c0-3.445.46-6.637 1.38-9.577.921-2.94 2.302-5.478 4.143-7.617 1.841-2.138 4.083-3.815 6.726-5.033 2.643-1.217 5.716-1.826 9.22-1.826 3.802 0 6.979.623 9.533 1.87 2.554 1.248 4.617 2.822 6.191 4.722 1.574 1.9 2.688 3.965 3.341 6.192.653 2.227.98 4.35.98 6.37 0 2.494-.386 4.75-1.158 6.77a21.803 21.803 0 01-3.118 5.568 31.516 31.516 0 01-4.454 4.677 66.788 66.788 0 01-5.167 4.009 139.198 139.198 0 01-5.346 3.563 79.237 79.237 0 00-4.944 3.386c-1.514 1.128-2.836 2.3-3.964 3.518-1.129 1.218-1.9 2.51-2.317 3.876h30.379v9.087z\"/></svg>"
},
"$:/core/images/tag-button": {
"title": "$:/core/images/tag-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-tag-button tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><path d=\"M18.164 47.66l.004 4.105c.003 3.823 2.19 9.097 4.885 11.792l61.85 61.85c2.697 2.697 7.068 2.69 9.769-.01L125.767 94.3a6.903 6.903 0 00.01-9.77L63.928 22.683c-2.697-2.697-7.976-4.88-11.796-4.881l-27.076-.007a6.902 6.902 0 00-6.91 6.91l.008 9.96.287.033c3.73.411 8.489-.044 13.365-1.153a9.702 9.702 0 0111.14-3.662l.291-.13.128.285a9.7 9.7 0 013.3 2.17c3.796 3.796 3.801 9.945.012 13.734-3.618 3.618-9.386 3.777-13.204.482-5.365 1.122-10.674 1.596-15.309 1.237z\"/><path d=\"M47.633 39.532l.023.051c-9.689 4.356-21.584 6.799-30.396 5.828C5.273 44.089-1.028 36.43 2.443 24.078 5.562 12.976 14.3 4.361 24.047 1.548c10.68-3.083 19.749 1.968 19.749 13.225h-8.623c0-4.859-3.078-6.573-8.735-4.94-6.91 1.995-13.392 8.383-15.694 16.577-1.915 6.818.417 9.653 7.46 10.43 7.126.785 17.531-1.352 25.917-5.121l.027.06.036-.017c1.76-.758 6.266 6.549 3.524 7.74a2.8 2.8 0 01-.075.03z\"/></g></svg>"
},
"$:/core/images/theme-button": {
"title": "$:/core/images/theme-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-theme-button tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><path d=\"M55.854 66.945a122.626 122.626 0 01-3.9-4.819c-11.064-14.548-16.645-6.888-22.96 0-6.315 6.888 1.664 12.47-4.33 17.335-5.993 4.866-5.623 6.552-15.737-2.35-10.115-8.9-10.815-11.351-6.172-16.43 4.644-5.08 8.524 2.918 18.01-6.108 9.485-9.026 1.517-17.026 1.517-17.026S42.03-2.824 68.42.157c26.39 2.982-9.984-3.86-19.031 27.801-3.874 13.556.72 10.362 8.066 16.087 1.707 1.33 6.428 4.732 12.671 9.318-6.129 5.879-11.157 10.669-14.273 13.582zm11.641 12.947c16.013 17.036 37.742 37.726 45.117 40.42 10.432 3.813 15.388-3.141 15.388-14.79 0-7.151-23.83-26.542-43.924-41.769-7.408 7.156-13.376 12.953-16.58 16.139z\"/><path d=\"M11.069 109.828L46.31 74.587a3.56 3.56 0 115.037-5.032l15.098 15.098a3.56 3.56 0 11-5.032 5.037l-35.24 35.241c-4.171 4.17-10.933 4.17-15.104 0-4.17-4.17-4.17-10.933 0-15.103zM124.344 6.622l5.034 5.034-7.49 12.524-7.613 2.58L61.413 79.62l-5.034-5.034 52.861-52.862 2.58-7.614 12.524-7.49z\"/></g></svg>"
},
"$:/core/images/timestamp-off": {
"title": "$:/core/images/timestamp-off",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-timestamp-off tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><path d=\"M58.25 11C26.08 11 0 37.082 0 69.25s26.08 58.25 58.25 58.25c32.175 0 58.25-26.082 58.25-58.25S90.425 11 58.25 11zm0 100.5C34.914 111.5 16 92.586 16 69.25 16 45.92 34.914 27 58.25 27s42.25 18.92 42.25 42.25c0 23.336-18.914 42.25-42.25 42.25zM49.704 10a5 5 0 010-10H66.69a5 5 0 015 5c.006 2.757-2.238 5-5 5H49.705z\"/><path d=\"M58.25 35.88c-18.777 0-33.998 15.224-33.998 33.998 0 18.773 15.22 34.002 33.998 34.002 18.784 0 34.002-15.23 34.002-34.002 0-18.774-15.218-33.998-34.002-33.998zm-3.03 50.123H44.196v-34H55.22v34zm16.976 0H61.17v-34h11.025v34z\"/></g></svg>"
},
"$:/core/images/timestamp-on": {
"title": "$:/core/images/timestamp-on",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-timestamp-on tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><path d=\"M58.25 11C26.08 11 0 37.082 0 69.25s26.08 58.25 58.25 58.25c32.175 0 58.25-26.082 58.25-58.25S90.425 11 58.25 11zm0 100.5C34.914 111.5 16 92.586 16 69.25 16 45.92 34.914 27 58.25 27s42.25 18.92 42.25 42.25c0 23.336-18.914 42.25-42.25 42.25zM49.704 10a5 5 0 010-10H66.69a5 5 0 015 5c.006 2.757-2.238 5-5 5H49.705z\"/><path d=\"M13.41 27.178a5.005 5.005 0 01-7.045-.613 5.008 5.008 0 01.616-7.047l9.95-8.348a5 5 0 016.429 7.661l-9.95 8.348zm89.573 0a5.005 5.005 0 007.045-.613 5.008 5.008 0 00-.616-7.047l-9.95-8.348a5 5 0 00-6.428 7.661l9.95 8.348zM65.097 71.072c0 3.826-3.09 6.928-6.897 6.928-3.804.006-6.9-3.102-6.903-6.928 0 0 4.76-39.072 6.903-39.072s6.897 39.072 6.897 39.072z\"/></g></svg>"
},
"$:/core/images/tip": {
"title": "$:/core/images/tip",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-tip tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M64 128.242c35.346 0 64-28.654 64-64 0-35.346-28.654-64-64-64-35.346 0-64 28.654-64 64 0 35.346 28.654 64 64 64zm11.936-36.789c-.624 4.129-5.73 7.349-11.936 7.349-6.206 0-11.312-3.22-11.936-7.349C54.33 94.05 58.824 95.82 64 95.82c5.175 0 9.67-1.769 11.936-4.366zm0 4.492c-.624 4.13-5.73 7.349-11.936 7.349-6.206 0-11.312-3.22-11.936-7.349 2.266 2.597 6.76 4.366 11.936 4.366 5.175 0 9.67-1.769 11.936-4.366zm0 4.456c-.624 4.129-5.73 7.349-11.936 7.349-6.206 0-11.312-3.22-11.936-7.349 2.266 2.597 6.76 4.366 11.936 4.366 5.175 0 9.67-1.769 11.936-4.366zm0 4.492c-.624 4.13-5.73 7.349-11.936 7.349-6.206 0-11.312-3.22-11.936-7.349 2.266 2.597 6.76 4.366 11.936 4.366 5.175 0 9.67-1.769 11.936-4.366zM64.3 24.242c11.618 0 23.699 7.82 23.699 24.2S75.92 71.754 75.92 83.576c0 5.873-5.868 9.26-11.92 9.26s-12.027-3.006-12.027-9.26C51.973 71.147 40 65.47 40 48.442s12.683-24.2 24.301-24.2z\"/></svg>"
},
"$:/core/images/transcludify": {
"title": "$:/core/images/transcludify",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-transcludify-button tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M0 59.482c.591 0 1.36-.089 2.306-.266a10.417 10.417 0 002.75-.932 6.762 6.762 0 002.306-1.907c.651-.828.976-1.863.976-3.104V35.709c0-2.01.414-3.74 1.242-5.19.828-1.448 1.833-2.66 3.016-3.636s2.425-1.7 3.726-2.173c1.3-.473 2.424-.71 3.37-.71h8.073v7.451h-4.88c-1.241 0-2.232.207-2.97.621-.74.414-1.302.932-1.686 1.552a4.909 4.909 0 00-.71 1.996c-.089.71-.133 1.39-.133 2.04v16.677c0 1.715-.325 3.134-.976 4.258-.65 1.123-1.434 2.025-2.35 2.705-.917.68-1.863 1.168-2.839 1.464-.976.296-1.818.473-2.528.532v.178c.71.059 1.552.207 2.528.443.976.237 1.922.68 2.839 1.33.916.651 1.7 1.583 2.35 2.795.65 1.212.976 2.853.976 4.923v16.144c0 .65.044 1.33.133 2.04.089.71.325 1.375.71 1.996.384.621.946 1.139 1.685 1.553.74.414 1.73.62 2.972.62h4.879v7.452h-8.073c-.946 0-2.07-.237-3.37-.71-1.301-.473-2.543-1.197-3.726-2.173-1.183-.976-2.188-2.188-3.016-3.637-.828-1.449-1.242-3.179-1.242-5.19V74.119c0-1.42-.325-2.572-.976-3.46-.65-.886-1.419-1.581-2.306-2.084a8.868 8.868 0 00-2.75-1.02C1.36 67.377.591 67.288 0 67.288v-7.806zm24.66 0c.591 0 1.36-.089 2.306-.266a10.417 10.417 0 002.75-.932 6.762 6.762 0 002.306-1.907c.65-.828.976-1.863.976-3.104V35.709c0-2.01.414-3.74 1.242-5.19.828-1.448 1.833-2.66 3.016-3.636s2.425-1.7 3.726-2.173c1.3-.473 2.424-.71 3.37-.71h8.073v7.451h-4.88c-1.241 0-2.232.207-2.97.621-.74.414-1.302.932-1.686 1.552a4.909 4.909 0 00-.71 1.996c-.089.71-.133 1.39-.133 2.04v16.677c0 1.715-.325 3.134-.976 4.258-.65 1.123-1.434 2.025-2.35 2.705-.917.68-1.863 1.168-2.839 1.464-.976.296-1.818.473-2.528.532v.178c.71.059 1.552.207 2.528.443.976.237 1.922.68 2.839 1.33.916.651 1.7 1.583 2.35 2.795.65 1.212.976 2.853.976 4.923v16.144c0 .65.044 1.33.133 2.04.089.71.325 1.375.71 1.996.384.621.946 1.139 1.685 1.553.74.414 1.73.62 2.972.62h4.879v7.452h-8.073c-.946 0-2.07-.237-3.37-.71-1.301-.473-2.543-1.197-3.726-2.173-1.183-.976-2.188-2.188-3.016-3.637-.828-1.449-1.242-3.179-1.242-5.19V74.119c0-1.42-.325-2.572-.976-3.46-.65-.886-1.419-1.581-2.306-2.084a8.868 8.868 0 00-2.75-1.02c-.946-.177-1.715-.266-2.306-.266v-7.806zm43.965-3.538L80.6 52.041l2.306 7.097-12.063 3.903 7.628 10.378-6.12 4.435-7.63-10.467-7.45 10.201-5.943-4.524 7.628-10.023-12.152-4.17 2.306-7.096 12.064 4.17V43.347h7.451v12.596zm34.425 11.344c-.65 0-1.449.089-2.395.266-.946.177-1.863.488-2.75.931a6.356 6.356 0 00-2.262 1.908c-.62.828-.931 1.862-.931 3.104v17.564c0 2.01-.414 3.74-1.242 5.189-.828 1.449-1.833 2.661-3.016 3.637s-2.425 1.7-3.726 2.173c-1.3.473-2.424.71-3.37.71h-8.073v-7.451h4.88c1.241 0 2.232-.207 2.97-.621.74-.414 1.302-.932 1.686-1.553a4.9 4.9 0 00.71-1.995c.089-.71.133-1.39.133-2.04V72.432c0-1.715.325-3.134.976-4.258.65-1.124 1.434-2.01 2.35-2.661.917-.65 1.863-1.124 2.839-1.42.976-.295 1.818-.502 2.528-.62v-.178c-.71-.059-1.552-.207-2.528-.443-.976-.237-1.922-.68-2.839-1.33-.916-.651-1.7-1.583-2.35-2.795-.65-1.212-.976-2.853-.976-4.923V37.66c0-.651-.044-1.331-.133-2.04a4.909 4.909 0 00-.71-1.997c-.384-.62-.946-1.138-1.685-1.552-.74-.414-1.73-.62-2.972-.62h-4.879V24h8.073c.946 0 2.07.237 3.37.71 1.301.473 2.543 1.197 3.726 2.173 1.183.976 2.188 2.188 3.016 3.637.828 1.449 1.242 3.178 1.242 5.189v16.943c0 1.419.31 2.572.931 3.46a6.897 6.897 0 002.262 2.084 8.868 8.868 0 002.75 1.02c.946.177 1.745.266 2.395.266v7.806zm24.66 0c-.65 0-1.449.089-2.395.266-.946.177-1.863.488-2.75.931a6.356 6.356 0 00-2.262 1.908c-.62.828-.931 1.862-.931 3.104v17.564c0 2.01-.414 3.74-1.242 5.189-.828 1.449-1.833 2.661-3.016 3.637s-2.425 1.7-3.726 2.173c-1.3.473-2.424.71-3.37.71h-8.073v-7.451h4.88c1.241 0 2.232-.207 2.97-.621.74-.414 1.302-.932 1.686-1.553a4.9 4.9 0 00.71-1.995c.089-.71.133-1.39.133-2.04V72.432c0-1.715.325-3.134.976-4.258.65-1.124 1.434-2.01 2.35-2.661.917-.65 1.863-1.124 2.839-1.42.976-.295 1.818-.502 2.528-.62v-.178c-.71-.059-1.552-.207-2.528-.443-.976-.237-1.922-.68-2.839-1.33-.916-.651-1.7-1.583-2.35-2.795-.65-1.212-.976-2.853-.976-4.923V37.66c0-.651-.044-1.331-.133-2.04a4.909 4.909 0 00-.71-1.997c-.384-.62-.946-1.138-1.685-1.552-.74-.414-1.73-.62-2.972-.62h-4.879V24h8.073c.946 0 2.07.237 3.37.71 1.301.473 2.543 1.197 3.726 2.173 1.183.976 2.188 2.188 3.016 3.637.828 1.449 1.242 3.178 1.242 5.189v16.943c0 1.419.31 2.572.931 3.46a6.897 6.897 0 002.262 2.084 8.868 8.868 0 002.75 1.02c.946.177 1.745.266 2.395.266v7.806z\"/></svg>"
},
"$:/core/images/twitter": {
"title": "$:/core/images/twitter",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-twitter tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M41.626 115.803A73.376 73.376 0 012 104.235c2.022.238 4.08.36 6.166.36 12.111 0 23.258-4.117 32.105-11.023-11.312-.208-20.859-7.653-24.148-17.883a25.98 25.98 0 0011.674-.441C15.971 72.881 7.061 62.474 7.061 49.997c0-.108 0-.216.002-.323a25.824 25.824 0 0011.709 3.22c-6.936-4.617-11.5-12.5-11.5-21.433 0-4.719 1.274-9.142 3.5-12.945 12.75 15.579 31.797 25.83 53.281 26.904-.44-1.884-.67-3.85-.67-5.868 0-14.22 11.575-25.75 25.852-25.75a25.865 25.865 0 0118.869 8.132 51.892 51.892 0 0016.415-6.248c-1.93 6.012-6.029 11.059-11.366 14.246A51.844 51.844 0 00128 25.878a52.428 52.428 0 01-12.9 13.33c.05 1.104.075 2.214.075 3.33 0 34.028-26 73.265-73.549 73.265\"/></svg>"
},
"$:/core/images/underline": {
"title": "$:/core/images/underline",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-underline tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M7 117.421h114.248V128H7v-10.579zm97.871-18.525V0h-16.26v55.856c0 4.463-.605 8.576-1.816 12.338-1.212 3.762-3.03 7.046-5.452 9.851-2.423 2.806-5.452 4.974-9.086 6.504-3.635 1.53-7.939 2.296-12.912 2.296-6.25 0-11.159-1.786-14.73-5.356-3.57-3.571-5.356-8.417-5.356-14.538V0H23v65.038c0 5.356.542 10.234 1.626 14.633 1.084 4.4 2.965 8.194 5.643 11.382 2.678 3.188 6.185 5.643 10.52 7.365 4.337 1.721 9.756 2.582 16.26 2.582 7.27 0 13.582-1.435 18.938-4.304 5.356-2.87 9.755-7.365 13.199-13.486h.382v15.686h15.303z\"/></svg>"
},
"$:/core/images/unfold-all-button": {
"title": "$:/core/images/unfold-all-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-unfold-all tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><rect width=\"128\" height=\"16\" rx=\"8\"/><rect width=\"128\" height=\"16\" y=\"64\" rx=\"8\"/><path d=\"M63.945 60.624c-2.05 0-4.101-.78-5.666-2.345L35.662 35.662c-3.125-3.125-3.13-8.195-.005-11.319 3.118-3.118 8.192-3.122 11.319.005L63.94 41.314l16.966-16.966c3.124-3.124 8.194-3.129 11.318-.005 3.118 3.118 3.122 8.192-.005 11.319L69.603 58.279a7.986 7.986 0 01-5.663 2.346zM64.004 124.565c-2.05 0-4.102-.78-5.666-2.345L35.721 99.603c-3.125-3.125-3.13-8.195-.005-11.319 3.118-3.118 8.191-3.122 11.318.005L64 105.255l16.966-16.966c3.124-3.124 8.194-3.129 11.318-.005 3.118 3.118 3.122 8.192-.005 11.319L69.662 122.22a7.986 7.986 0 01-5.663 2.346z\"/></g></svg>"
},
"$:/core/images/unfold-button": {
"title": "$:/core/images/unfold-button",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-unfold tc-image-button\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><rect width=\"128\" height=\"16\" rx=\"8\"/><path d=\"M63.945 63.624c-2.05 0-4.101-.78-5.666-2.345L35.662 38.662c-3.125-3.125-3.13-8.195-.005-11.319 3.118-3.118 8.192-3.122 11.319.005L63.94 44.314l16.966-16.966c3.124-3.124 8.194-3.129 11.318-.005 3.118 3.118 3.122 8.192-.005 11.319L69.603 61.279a7.986 7.986 0 01-5.663 2.346zM64.004 105.682c-2.05.001-4.102-.78-5.666-2.344L35.721 80.721c-3.125-3.125-3.13-8.195-.005-11.319 3.118-3.118 8.191-3.122 11.318.005L64 86.373l16.966-16.966c3.124-3.125 8.194-3.13 11.318-.005 3.118 3.118 3.122 8.192-.005 11.319l-22.617 22.617a7.986 7.986 0 01-5.663 2.346z\"/></g></svg>"
},
"$:/core/images/unlocked-padlock": {
"title": "$:/core/images/unlocked-padlock",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-unlocked-padlock tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M48.627 64H105v32.01C105 113.674 90.674 128 73.001 128H56C38.318 128 24 113.677 24 96.01V64h6.136c-10.455-12.651-27.364-35.788-4.3-55.142 24.636-20.672 45.835 4.353 55.777 16.201 9.943 11.85-2.676 22.437-12.457 9.892-9.78-12.545-21.167-24.146-33.207-14.043-12.041 10.104-1.757 22.36 8.813 34.958 2.467 2.94 3.641 5.732 3.865 8.134zm19.105 28.364A8.503 8.503 0 0064.5 76a8.5 8.5 0 00-3.498 16.25l-5.095 22.77H72.8l-5.07-22.656z\"/></svg>"
},
"$:/core/images/up-arrow": {
"title": "$:/core/images/up-arrow",
"created": "20150316000544368",
"modified": "20150316000831867",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-up-arrow tc-image-button\" viewBox=\"0 0 128 128\"><path d=\"M63.892.281c2.027 0 4.054.77 5.6 2.316l55.98 55.98a7.92 7.92 0 010 11.196c-3.086 3.085-8.104 3.092-11.196 0L63.894 19.393 13.513 69.774a7.92 7.92 0 01-11.196 0c-3.085-3.086-3.092-8.105 0-11.196l55.98-55.98A7.892 7.892 0 0163.893.28z\"/></svg>"
},
"$:/core/images/video": {
"title": "$:/core/images/video",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-video tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M64 12c-34.91 0-55.273 2.917-58.182 5.833C2.91 20.75 0 41.167 0 64.5c0 23.333 2.91 43.75 5.818 46.667C8.728 114.083 29.091 117 64 117c34.91 0 55.273-2.917 58.182-5.833C125.09 108.25 128 87.833 128 64.5c0-23.333-2.91-43.75-5.818-46.667C119.272 14.917 98.909 12 64 12zm-9.084 32.618c-3.813-2.542-6.905-.879-6.905 3.698v31.368c0 4.585 3.099 6.235 6.905 3.698l22.168-14.779c3.813-2.542 3.806-6.669 0-9.206L54.916 44.618z\"/></svg>"
},
"$:/core/images/warning": {
"title": "$:/core/images/warning",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" class=\"tc-image-warning tc-image-button\" viewBox=\"0 0 128 128\"><path fill-rule=\"evenodd\" d=\"M57.072 11c3.079-5.333 10.777-5.333 13.856 0l55.426 96c3.079 5.333-.77 12-6.928 12H8.574c-6.158 0-10.007-6.667-6.928-12l55.426-96zM64 37c-4.418 0-8 3.582-8 7.994v28.012C56 77.421 59.59 81 64 81c4.418 0 8-3.582 8-7.994V44.994C72 40.579 68.41 37 64 37zm0 67a8 8 0 100-16 8 8 0 000 16z\"/></svg>"
},
"$:/language/Buttons/AdvancedSearch/Caption": {
"title": "$:/language/Buttons/AdvancedSearch/Caption",
"text": "advanced search"
},
"$:/language/Buttons/AdvancedSearch/Hint": {
"title": "$:/language/Buttons/AdvancedSearch/Hint",
"text": "Advanced search"
},
"$:/language/Buttons/Cancel/Caption": {
"title": "$:/language/Buttons/Cancel/Caption",
"text": "cancel"
},
"$:/language/Buttons/Cancel/Hint": {
"title": "$:/language/Buttons/Cancel/Hint",
"text": "Discard changes to this tiddler"
},
"$:/language/Buttons/Clone/Caption": {
"title": "$:/language/Buttons/Clone/Caption",
"text": "clone"
},
"$:/language/Buttons/Clone/Hint": {
"title": "$:/language/Buttons/Clone/Hint",
"text": "Clone this tiddler"
},
"$:/language/Buttons/Close/Caption": {
"title": "$:/language/Buttons/Close/Caption",
"text": "close"
},
"$:/language/Buttons/Close/Hint": {
"title": "$:/language/Buttons/Close/Hint",
"text": "Close this tiddler"
},
"$:/language/Buttons/CloseAll/Caption": {
"title": "$:/language/Buttons/CloseAll/Caption",
"text": "close all"
},
"$:/language/Buttons/CloseAll/Hint": {
"title": "$:/language/Buttons/CloseAll/Hint",
"text": "Close all tiddlers"
},
"$:/language/Buttons/CloseOthers/Caption": {
"title": "$:/language/Buttons/CloseOthers/Caption",
"text": "close others"
},
"$:/language/Buttons/CloseOthers/Hint": {
"title": "$:/language/Buttons/CloseOthers/Hint",
"text": "Close other tiddlers"
},
"$:/language/Buttons/ControlPanel/Caption": {
"title": "$:/language/Buttons/ControlPanel/Caption",
"text": "control panel"
},
"$:/language/Buttons/ControlPanel/Hint": {
"title": "$:/language/Buttons/ControlPanel/Hint",
"text": "Open control panel"
},
"$:/language/Buttons/CopyToClipboard/Caption": {
"title": "$:/language/Buttons/CopyToClipboard/Caption",
"text": "copy to clipboard"
},
"$:/language/Buttons/CopyToClipboard/Hint": {
"title": "$:/language/Buttons/CopyToClipboard/Hint",
"text": "Copy this text to the clipboard"
},
"$:/language/Buttons/Delete/Caption": {
"title": "$:/language/Buttons/Delete/Caption",
"text": "delete"
},
"$:/language/Buttons/Delete/Hint": {
"title": "$:/language/Buttons/Delete/Hint",
"text": "Delete this tiddler"
},
"$:/language/Buttons/Edit/Caption": {
"title": "$:/language/Buttons/Edit/Caption",
"text": "edit"
},
"$:/language/Buttons/Edit/Hint": {
"title": "$:/language/Buttons/Edit/Hint",
"text": "Edit this tiddler"
},
"$:/language/Buttons/Encryption/Caption": {
"title": "$:/language/Buttons/Encryption/Caption",
"text": "encryption"
},
"$:/language/Buttons/Encryption/Hint": {
"title": "$:/language/Buttons/Encryption/Hint",
"text": "Set or clear a password for saving this wiki"
},
"$:/language/Buttons/Encryption/ClearPassword/Caption": {
"title": "$:/language/Buttons/Encryption/ClearPassword/Caption",
"text": "clear password"
},
"$:/language/Buttons/Encryption/ClearPassword/Hint": {
"title": "$:/language/Buttons/Encryption/ClearPassword/Hint",
"text": "Clear the password and save this wiki without encryption"
},
"$:/language/Buttons/Encryption/SetPassword/Caption": {
"title": "$:/language/Buttons/Encryption/SetPassword/Caption",
"text": "set password"
},
"$:/language/Buttons/Encryption/SetPassword/Hint": {
"title": "$:/language/Buttons/Encryption/SetPassword/Hint",
"text": "Set a password for saving this wiki with encryption"
},
"$:/language/Buttons/ExportPage/Caption": {
"title": "$:/language/Buttons/ExportPage/Caption",
"text": "export all"
},
"$:/language/Buttons/ExportPage/Hint": {
"title": "$:/language/Buttons/ExportPage/Hint",
"text": "Export all tiddlers"
},
"$:/language/Buttons/ExportTiddler/Caption": {
"title": "$:/language/Buttons/ExportTiddler/Caption",
"text": "export tiddler"
},
"$:/language/Buttons/ExportTiddler/Hint": {
"title": "$:/language/Buttons/ExportTiddler/Hint",
"text": "Export tiddler"
},
"$:/language/Buttons/ExportTiddlers/Caption": {
"title": "$:/language/Buttons/ExportTiddlers/Caption",
"text": "export tiddlers"
},
"$:/language/Buttons/ExportTiddlers/Hint": {
"title": "$:/language/Buttons/ExportTiddlers/Hint",
"text": "Export tiddlers"
},
"$:/language/Buttons/SidebarSearch/Hint": {
"title": "$:/language/Buttons/SidebarSearch/Hint",
"text": "Select the sidebar search field"
},
"$:/language/Buttons/Fold/Caption": {
"title": "$:/language/Buttons/Fold/Caption",
"text": "fold tiddler"
},
"$:/language/Buttons/Fold/Hint": {
"title": "$:/language/Buttons/Fold/Hint",
"text": "Fold the body of this tiddler"
},
"$:/language/Buttons/Fold/FoldBar/Caption": {
"title": "$:/language/Buttons/Fold/FoldBar/Caption",
"text": "fold-bar"
},
"$:/language/Buttons/Fold/FoldBar/Hint": {
"title": "$:/language/Buttons/Fold/FoldBar/Hint",
"text": "Optional bars to fold and unfold tiddlers"
},
"$:/language/Buttons/Unfold/Caption": {
"title": "$:/language/Buttons/Unfold/Caption",
"text": "unfold tiddler"
},
"$:/language/Buttons/Unfold/Hint": {
"title": "$:/language/Buttons/Unfold/Hint",
"text": "Unfold the body of this tiddler"
},
"$:/language/Buttons/FoldOthers/Caption": {
"title": "$:/language/Buttons/FoldOthers/Caption",
"text": "fold other tiddlers"
},
"$:/language/Buttons/FoldOthers/Hint": {
"title": "$:/language/Buttons/FoldOthers/Hint",
"text": "Fold the bodies of other opened tiddlers"
},
"$:/language/Buttons/FoldAll/Caption": {
"title": "$:/language/Buttons/FoldAll/Caption",
"text": "fold all tiddlers"
},
"$:/language/Buttons/FoldAll/Hint": {
"title": "$:/language/Buttons/FoldAll/Hint",
"text": "Fold the bodies of all opened tiddlers"
},
"$:/language/Buttons/UnfoldAll/Caption": {
"title": "$:/language/Buttons/UnfoldAll/Caption",
"text": "unfold all tiddlers"
},
"$:/language/Buttons/UnfoldAll/Hint": {
"title": "$:/language/Buttons/UnfoldAll/Hint",
"text": "Unfold the bodies of all opened tiddlers"
},
"$:/language/Buttons/FullScreen/Caption": {
"title": "$:/language/Buttons/FullScreen/Caption",
"text": "full-screen"
},
"$:/language/Buttons/FullScreen/Hint": {
"title": "$:/language/Buttons/FullScreen/Hint",
"text": "Enter or leave full-screen mode"
},
"$:/language/Buttons/Help/Caption": {
"title": "$:/language/Buttons/Help/Caption",
"text": "help"
},
"$:/language/Buttons/Help/Hint": {
"title": "$:/language/Buttons/Help/Hint",
"text": "Show help panel"
},
"$:/language/Buttons/Import/Caption": {
"title": "$:/language/Buttons/Import/Caption",
"text": "import"
},
"$:/language/Buttons/Import/Hint": {
"title": "$:/language/Buttons/Import/Hint",
"text": "Import many types of file including text, image, TiddlyWiki or JSON"
},
"$:/language/Buttons/Info/Caption": {
"title": "$:/language/Buttons/Info/Caption",
"text": "info"
},
"$:/language/Buttons/Info/Hint": {
"title": "$:/language/Buttons/Info/Hint",
"text": "Show information for this tiddler"
},
"$:/language/Buttons/Home/Caption": {
"title": "$:/language/Buttons/Home/Caption",
"text": "home"
},
"$:/language/Buttons/Home/Hint": {
"title": "$:/language/Buttons/Home/Hint",
"text": "Open the default tiddlers"
},
"$:/language/Buttons/Language/Caption": {
"title": "$:/language/Buttons/Language/Caption",
"text": "language"
},
"$:/language/Buttons/Language/Hint": {
"title": "$:/language/Buttons/Language/Hint",
"text": "Choose the user interface language"
},
"$:/language/Buttons/Manager/Caption": {
"title": "$:/language/Buttons/Manager/Caption",
"text": "tiddler manager"
},
"$:/language/Buttons/Manager/Hint": {
"title": "$:/language/Buttons/Manager/Hint",
"text": "Open tiddler manager"
},
"$:/language/Buttons/More/Caption": {
"title": "$:/language/Buttons/More/Caption",
"text": "more"
},
"$:/language/Buttons/More/Hint": {
"title": "$:/language/Buttons/More/Hint",
"text": "More actions"
},
"$:/language/Buttons/NewHere/Caption": {
"title": "$:/language/Buttons/NewHere/Caption",
"text": "new here"
},
"$:/language/Buttons/NewHere/Hint": {
"title": "$:/language/Buttons/NewHere/Hint",
"text": "Create a new tiddler tagged with this one"
},
"$:/language/Buttons/NewJournal/Caption": {
"title": "$:/language/Buttons/NewJournal/Caption",
"text": "new journal"
},
"$:/language/Buttons/NewJournal/Hint": {
"title": "$:/language/Buttons/NewJournal/Hint",
"text": "Create a new journal tiddler"
},
"$:/language/Buttons/NewJournalHere/Caption": {
"title": "$:/language/Buttons/NewJournalHere/Caption",
"text": "new journal here"
},
"$:/language/Buttons/NewJournalHere/Hint": {
"title": "$:/language/Buttons/NewJournalHere/Hint",
"text": "Create a new journal tiddler tagged with this one"
},
"$:/language/Buttons/NewImage/Caption": {
"title": "$:/language/Buttons/NewImage/Caption",
"text": "new image"
},
"$:/language/Buttons/NewImage/Hint": {
"title": "$:/language/Buttons/NewImage/Hint",
"text": "Create a new image tiddler"
},
"$:/language/Buttons/NewMarkdown/Caption": {
"title": "$:/language/Buttons/NewMarkdown/Caption",
"text": "new Markdown tiddler"
},
"$:/language/Buttons/NewMarkdown/Hint": {
"title": "$:/language/Buttons/NewMarkdown/Hint",
"text": "Create a new Markdown tiddler"
},
"$:/language/Buttons/NewTiddler/Caption": {
"title": "$:/language/Buttons/NewTiddler/Caption",
"text": "new tiddler"
},
"$:/language/Buttons/NewTiddler/Hint": {
"title": "$:/language/Buttons/NewTiddler/Hint",
"text": "Create a new tiddler"
},
"$:/language/Buttons/OpenWindow/Caption": {
"title": "$:/language/Buttons/OpenWindow/Caption",
"text": "open in new window"
},
"$:/language/Buttons/OpenWindow/Hint": {
"title": "$:/language/Buttons/OpenWindow/Hint",
"text": "Open tiddler in new window"
},
"$:/language/Buttons/Palette/Caption": {
"title": "$:/language/Buttons/Palette/Caption",
"text": "palette"
},
"$:/language/Buttons/Palette/Hint": {
"title": "$:/language/Buttons/Palette/Hint",
"text": "Choose the colour palette"
},
"$:/language/Buttons/Permalink/Caption": {
"title": "$:/language/Buttons/Permalink/Caption",
"text": "permalink"
},
"$:/language/Buttons/Permalink/Hint": {
"title": "$:/language/Buttons/Permalink/Hint",
"text": "Set browser address bar to a direct link to this tiddler"
},
"$:/language/Buttons/Permaview/Caption": {
"title": "$:/language/Buttons/Permaview/Caption",
"text": "permaview"
},
"$:/language/Buttons/Permaview/Hint": {
"title": "$:/language/Buttons/Permaview/Hint",
"text": "Set browser address bar to a direct link to all the tiddlers in this story"
},
"$:/language/Buttons/Print/Caption": {
"title": "$:/language/Buttons/Print/Caption",
"text": "print page"
},
"$:/language/Buttons/Print/Hint": {
"title": "$:/language/Buttons/Print/Hint",
"text": "Print the current page"
},
"$:/language/Buttons/Refresh/Caption": {
"title": "$:/language/Buttons/Refresh/Caption",
"text": "refresh"
},
"$:/language/Buttons/Refresh/Hint": {
"title": "$:/language/Buttons/Refresh/Hint",
"text": "Perform a full refresh of the wiki"
},
"$:/language/Buttons/Save/Caption": {
"title": "$:/language/Buttons/Save/Caption",
"text": "ok"
},
"$:/language/Buttons/Save/Hint": {
"title": "$:/language/Buttons/Save/Hint",
"text": "Confirm changes to this tiddler"
},
"$:/language/Buttons/SaveWiki/Caption": {
"title": "$:/language/Buttons/SaveWiki/Caption",
"text": "save changes"
},
"$:/language/Buttons/SaveWiki/Hint": {
"title": "$:/language/Buttons/SaveWiki/Hint",
"text": "Save changes"
},
"$:/language/Buttons/StoryView/Caption": {
"title": "$:/language/Buttons/StoryView/Caption",
"text": "storyview"
},
"$:/language/Buttons/StoryView/Hint": {
"title": "$:/language/Buttons/StoryView/Hint",
"text": "Choose the story visualisation"
},
"$:/language/Buttons/HideSideBar/Caption": {
"title": "$:/language/Buttons/HideSideBar/Caption",
"text": "hide sidebar"
},
"$:/language/Buttons/HideSideBar/Hint": {
"title": "$:/language/Buttons/HideSideBar/Hint",
"text": "Hide sidebar"
},
"$:/language/Buttons/ShowSideBar/Caption": {
"title": "$:/language/Buttons/ShowSideBar/Caption",
"text": "show sidebar"
},
"$:/language/Buttons/ShowSideBar/Hint": {
"title": "$:/language/Buttons/ShowSideBar/Hint",
"text": "Show sidebar"
},
"$:/language/Buttons/TagManager/Caption": {
"title": "$:/language/Buttons/TagManager/Caption",
"text": "tag manager"
},
"$:/language/Buttons/TagManager/Hint": {
"title": "$:/language/Buttons/TagManager/Hint",
"text": "Open tag manager"
},
"$:/language/Buttons/Timestamp/Caption": {
"title": "$:/language/Buttons/Timestamp/Caption",
"text": "timestamps"
},
"$:/language/Buttons/Timestamp/Hint": {
"title": "$:/language/Buttons/Timestamp/Hint",
"text": "Choose whether modifications update timestamps"
},
"$:/language/Buttons/Timestamp/On/Caption": {
"title": "$:/language/Buttons/Timestamp/On/Caption",
"text": "timestamps are on"
},
"$:/language/Buttons/Timestamp/On/Hint": {
"title": "$:/language/Buttons/Timestamp/On/Hint",
"text": "Update timestamps when tiddlers are modified"
},
"$:/language/Buttons/Timestamp/Off/Caption": {
"title": "$:/language/Buttons/Timestamp/Off/Caption",
"text": "timestamps are off"
},
"$:/language/Buttons/Timestamp/Off/Hint": {
"title": "$:/language/Buttons/Timestamp/Off/Hint",
"text": "Don't update timestamps when tiddlers are modified"
},
"$:/language/Buttons/Theme/Caption": {
"title": "$:/language/Buttons/Theme/Caption",
"text": "theme"
},
"$:/language/Buttons/Theme/Hint": {
"title": "$:/language/Buttons/Theme/Hint",
"text": "Choose the display theme"
},
"$:/language/Buttons/Bold/Caption": {
"title": "$:/language/Buttons/Bold/Caption",
"text": "bold"
},
"$:/language/Buttons/Bold/Hint": {
"title": "$:/language/Buttons/Bold/Hint",
"text": "Apply bold formatting to selection"
},
"$:/language/Buttons/Clear/Caption": {
"title": "$:/language/Buttons/Clear/Caption",
"text": "clear"
},
"$:/language/Buttons/Clear/Hint": {
"title": "$:/language/Buttons/Clear/Hint",
"text": "Clear image to solid colour"
},
"$:/language/Buttons/EditorHeight/Caption": {
"title": "$:/language/Buttons/EditorHeight/Caption",
"text": "editor height"
},
"$:/language/Buttons/EditorHeight/Caption/Auto": {
"title": "$:/language/Buttons/EditorHeight/Caption/Auto",
"text": "Automatically adjust height to fit content"
},
"$:/language/Buttons/EditorHeight/Caption/Fixed": {
"title": "$:/language/Buttons/EditorHeight/Caption/Fixed",
"text": "Fixed height:"
},
"$:/language/Buttons/EditorHeight/Hint": {
"title": "$:/language/Buttons/EditorHeight/Hint",
"text": "Choose the height of the text editor"
},
"$:/language/Buttons/Excise/Caption": {
"title": "$:/language/Buttons/Excise/Caption",
"text": "excise"
},
"$:/language/Buttons/Excise/Caption/Excise": {
"title": "$:/language/Buttons/Excise/Caption/Excise",
"text": "Perform excision"
},
"$:/language/Buttons/Excise/Caption/MacroName": {
"title": "$:/language/Buttons/Excise/Caption/MacroName",
"text": "Macro name:"
},
"$:/language/Buttons/Excise/Caption/NewTitle": {
"title": "$:/language/Buttons/Excise/Caption/NewTitle",
"text": "Title of new tiddler:"
},
"$:/language/Buttons/Excise/Caption/Replace": {
"title": "$:/language/Buttons/Excise/Caption/Replace",
"text": "Replace excised text with:"
},
"$:/language/Buttons/Excise/Caption/Replace/Macro": {
"title": "$:/language/Buttons/Excise/Caption/Replace/Macro",
"text": "macro"
},
"$:/language/Buttons/Excise/Caption/Replace/Link": {
"title": "$:/language/Buttons/Excise/Caption/Replace/Link",
"text": "link"
},
"$:/language/Buttons/Excise/Caption/Replace/Transclusion": {
"title": "$:/language/Buttons/Excise/Caption/Replace/Transclusion",
"text": "transclusion"
},
"$:/language/Buttons/Excise/Caption/Tag": {
"title": "$:/language/Buttons/Excise/Caption/Tag",
"text": "Tag new tiddler with the title of this tiddler"
},
"$:/language/Buttons/Excise/Caption/TiddlerExists": {
"title": "$:/language/Buttons/Excise/Caption/TiddlerExists",
"text": "Warning: tiddler already exists"
},
"$:/language/Buttons/Excise/Hint": {
"title": "$:/language/Buttons/Excise/Hint",
"text": "Excise the selected text into a new tiddler"
},
"$:/language/Buttons/Heading1/Caption": {
"title": "$:/language/Buttons/Heading1/Caption",
"text": "heading 1"
},
"$:/language/Buttons/Heading1/Hint": {
"title": "$:/language/Buttons/Heading1/Hint",
"text": "Apply heading level 1 formatting to lines containing selection"
},
"$:/language/Buttons/Heading2/Caption": {
"title": "$:/language/Buttons/Heading2/Caption",
"text": "heading 2"
},
"$:/language/Buttons/Heading2/Hint": {
"title": "$:/language/Buttons/Heading2/Hint",
"text": "Apply heading level 2 formatting to lines containing selection"
},
"$:/language/Buttons/Heading3/Caption": {
"title": "$:/language/Buttons/Heading3/Caption",
"text": "heading 3"
},
"$:/language/Buttons/Heading3/Hint": {
"title": "$:/language/Buttons/Heading3/Hint",
"text": "Apply heading level 3 formatting to lines containing selection"
},
"$:/language/Buttons/Heading4/Caption": {
"title": "$:/language/Buttons/Heading4/Caption",
"text": "heading 4"
},
"$:/language/Buttons/Heading4/Hint": {
"title": "$:/language/Buttons/Heading4/Hint",
"text": "Apply heading level 4 formatting to lines containing selection"
},
"$:/language/Buttons/Heading5/Caption": {
"title": "$:/language/Buttons/Heading5/Caption",
"text": "heading 5"
},
"$:/language/Buttons/Heading5/Hint": {
"title": "$:/language/Buttons/Heading5/Hint",
"text": "Apply heading level 5 formatting to lines containing selection"
},
"$:/language/Buttons/Heading6/Caption": {
"title": "$:/language/Buttons/Heading6/Caption",
"text": "heading 6"
},
"$:/language/Buttons/Heading6/Hint": {
"title": "$:/language/Buttons/Heading6/Hint",
"text": "Apply heading level 6 formatting to lines containing selection"
},
"$:/language/Buttons/Italic/Caption": {
"title": "$:/language/Buttons/Italic/Caption",
"text": "italic"
},
"$:/language/Buttons/Italic/Hint": {
"title": "$:/language/Buttons/Italic/Hint",
"text": "Apply italic formatting to selection"
},
"$:/language/Buttons/LineWidth/Caption": {
"title": "$:/language/Buttons/LineWidth/Caption",
"text": "line width"
},
"$:/language/Buttons/LineWidth/Hint": {
"title": "$:/language/Buttons/LineWidth/Hint",
"text": "Set line width for painting"
},
"$:/language/Buttons/Link/Caption": {
"title": "$:/language/Buttons/Link/Caption",
"text": "link"
},
"$:/language/Buttons/Link/Hint": {
"title": "$:/language/Buttons/Link/Hint",
"text": "Create wikitext link"
},
"$:/language/Buttons/Linkify/Caption": {
"title": "$:/language/Buttons/Linkify/Caption",
"text": "wikilink"
},
"$:/language/Buttons/Linkify/Hint": {
"title": "$:/language/Buttons/Linkify/Hint",
"text": "Wrap selection in square brackets"
},
"$:/language/Buttons/ListBullet/Caption": {
"title": "$:/language/Buttons/ListBullet/Caption",
"text": "bulleted list"
},
"$:/language/Buttons/ListBullet/Hint": {
"title": "$:/language/Buttons/ListBullet/Hint",
"text": "Apply bulleted list formatting to lines containing selection"
},
"$:/language/Buttons/ListNumber/Caption": {
"title": "$:/language/Buttons/ListNumber/Caption",
"text": "numbered list"
},
"$:/language/Buttons/ListNumber/Hint": {
"title": "$:/language/Buttons/ListNumber/Hint",
"text": "Apply numbered list formatting to lines containing selection"
},
"$:/language/Buttons/MonoBlock/Caption": {
"title": "$:/language/Buttons/MonoBlock/Caption",
"text": "monospaced block"
},
"$:/language/Buttons/MonoBlock/Hint": {
"title": "$:/language/Buttons/MonoBlock/Hint",
"text": "Apply monospaced block formatting to lines containing selection"
},
"$:/language/Buttons/MonoLine/Caption": {
"title": "$:/language/Buttons/MonoLine/Caption",
"text": "monospaced"
},
"$:/language/Buttons/MonoLine/Hint": {
"title": "$:/language/Buttons/MonoLine/Hint",
"text": "Apply monospaced character formatting to selection"
},
"$:/language/Buttons/Opacity/Caption": {
"title": "$:/language/Buttons/Opacity/Caption",
"text": "opacity"
},
"$:/language/Buttons/Opacity/Hint": {
"title": "$:/language/Buttons/Opacity/Hint",
"text": "Set painting opacity"
},
"$:/language/Buttons/Paint/Caption": {
"title": "$:/language/Buttons/Paint/Caption",
"text": "paint colour"
},
"$:/language/Buttons/Paint/Hint": {
"title": "$:/language/Buttons/Paint/Hint",
"text": "Set painting colour"
},
"$:/language/Buttons/Picture/Caption": {
"title": "$:/language/Buttons/Picture/Caption",
"text": "picture"
},
"$:/language/Buttons/Picture/Hint": {
"title": "$:/language/Buttons/Picture/Hint",
"text": "Insert picture"
},
"$:/language/Buttons/Preview/Caption": {
"title": "$:/language/Buttons/Preview/Caption",
"text": "preview"
},
"$:/language/Buttons/Preview/Hint": {
"title": "$:/language/Buttons/Preview/Hint",
"text": "Show preview pane"
},
"$:/language/Buttons/PreviewType/Caption": {
"title": "$:/language/Buttons/PreviewType/Caption",
"text": "preview type"
},
"$:/language/Buttons/PreviewType/Hint": {
"title": "$:/language/Buttons/PreviewType/Hint",
"text": "Choose preview type"
},
"$:/language/Buttons/Quote/Caption": {
"title": "$:/language/Buttons/Quote/Caption",
"text": "quote"
},
"$:/language/Buttons/Quote/Hint": {
"title": "$:/language/Buttons/Quote/Hint",
"text": "Apply quoted text formatting to lines containing selection"
},
"$:/language/Buttons/RotateLeft/Caption": {
"title": "$:/language/Buttons/RotateLeft/Caption",
"text": "rotate left"
},
"$:/language/Buttons/RotateLeft/Hint": {
"title": "$:/language/Buttons/RotateLeft/Hint",
"text": "Rotate image left by 90 degrees"
},
"$:/language/Buttons/Size/Caption": {
"title": "$:/language/Buttons/Size/Caption",
"text": "image size"
},
"$:/language/Buttons/Size/Caption/Height": {
"title": "$:/language/Buttons/Size/Caption/Height",
"text": "Height:"
},
"$:/language/Buttons/Size/Caption/Resize": {
"title": "$:/language/Buttons/Size/Caption/Resize",
"text": "Resize image"
},
"$:/language/Buttons/Size/Caption/Width": {
"title": "$:/language/Buttons/Size/Caption/Width",
"text": "Width:"
},
"$:/language/Buttons/Size/Hint": {
"title": "$:/language/Buttons/Size/Hint",
"text": "Set image size"
},
"$:/language/Buttons/Stamp/Caption": {
"title": "$:/language/Buttons/Stamp/Caption",
"text": "stamp"
},
"$:/language/Buttons/Stamp/Caption/New": {
"title": "$:/language/Buttons/Stamp/Caption/New",
"text": "Add your own"
},
"$:/language/Buttons/Stamp/Hint": {
"title": "$:/language/Buttons/Stamp/Hint",
"text": "Insert a preconfigured snippet of text"
},
"$:/language/Buttons/Stamp/New/Title": {
"title": "$:/language/Buttons/Stamp/New/Title",
"text": "Name as shown in menu"
},
"$:/language/Buttons/Stamp/New/Text": {
"title": "$:/language/Buttons/Stamp/New/Text",
"text": "Text of snippet. (Remember to add a descriptive title in the caption field)."
},
"$:/language/Buttons/Strikethrough/Caption": {
"title": "$:/language/Buttons/Strikethrough/Caption",
"text": "strikethrough"
},
"$:/language/Buttons/Strikethrough/Hint": {
"title": "$:/language/Buttons/Strikethrough/Hint",
"text": "Apply strikethrough formatting to selection"
},
"$:/language/Buttons/Subscript/Caption": {
"title": "$:/language/Buttons/Subscript/Caption",
"text": "subscript"
},
"$:/language/Buttons/Subscript/Hint": {
"title": "$:/language/Buttons/Subscript/Hint",
"text": "Apply subscript formatting to selection"
},
"$:/language/Buttons/Superscript/Caption": {
"title": "$:/language/Buttons/Superscript/Caption",
"text": "superscript"
},
"$:/language/Buttons/Superscript/Hint": {
"title": "$:/language/Buttons/Superscript/Hint",
"text": "Apply superscript formatting to selection"
},
"$:/language/Buttons/ToggleSidebar/Hint": {
"title": "$:/language/Buttons/ToggleSidebar/Hint",
"text": "Toggle the sidebar visibility"
},
"$:/language/Buttons/Transcludify/Caption": {
"title": "$:/language/Buttons/Transcludify/Caption",
"text": "transclusion"
},
"$:/language/Buttons/Transcludify/Hint": {
"title": "$:/language/Buttons/Transcludify/Hint",
"text": "Wrap selection in curly brackets"
},
"$:/language/Buttons/Underline/Caption": {
"title": "$:/language/Buttons/Underline/Caption",
"text": "underline"
},
"$:/language/Buttons/Underline/Hint": {
"title": "$:/language/Buttons/Underline/Hint",
"text": "Apply underline formatting to selection"
},
"$:/language/ControlPanel/Advanced/Caption": {
"title": "$:/language/ControlPanel/Advanced/Caption",
"text": "Advanced"
},
"$:/language/ControlPanel/Advanced/Hint": {
"title": "$:/language/ControlPanel/Advanced/Hint",
"text": "Internal information about this TiddlyWiki"
},
"$:/language/ControlPanel/Appearance/Caption": {
"title": "$:/language/ControlPanel/Appearance/Caption",
"text": "Appearance"
},
"$:/language/ControlPanel/Appearance/Hint": {
"title": "$:/language/ControlPanel/Appearance/Hint",
"text": "Ways to customise the appearance of your TiddlyWiki."
},
"$:/language/ControlPanel/Basics/AnimDuration/Prompt": {
"title": "$:/language/ControlPanel/Basics/AnimDuration/Prompt",
"text": "Animation duration"
},
"$:/language/ControlPanel/Basics/AutoFocus/Prompt": {
"title": "$:/language/ControlPanel/Basics/AutoFocus/Prompt",
"text": "Default focus field for new tiddlers"
},
"$:/language/ControlPanel/Basics/Caption": {
"title": "$:/language/ControlPanel/Basics/Caption",
"text": "Basics"
},
"$:/language/ControlPanel/Basics/DefaultTiddlers/BottomHint": {
"title": "$:/language/ControlPanel/Basics/DefaultTiddlers/BottomHint",
"text": "Use [[double square brackets]] for titles with spaces. Or you can choose to <$button set=\"$:/DefaultTiddlers\" setTo=\"[list[$:/StoryList]]\">retain story ordering</$button>"
},
"$:/language/ControlPanel/Basics/DefaultTiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/DefaultTiddlers/Prompt",
"text": "Default tiddlers"
},
"$:/language/ControlPanel/Basics/DefaultTiddlers/TopHint": {
"title": "$:/language/ControlPanel/Basics/DefaultTiddlers/TopHint",
"text": "Choose which tiddlers are displayed at startup"
},
"$:/language/ControlPanel/Basics/Language/Prompt": {
"title": "$:/language/ControlPanel/Basics/Language/Prompt",
"text": "Hello! Current language:"
},
"$:/language/ControlPanel/Basics/NewJournal/Title/Prompt": {
"title": "$:/language/ControlPanel/Basics/NewJournal/Title/Prompt",
"text": "Title of new journal tiddlers"
},
"$:/language/ControlPanel/Basics/NewJournal/Text/Prompt": {
"title": "$:/language/ControlPanel/Basics/NewJournal/Text/Prompt",
"text": "Text for new journal tiddlers"
},
"$:/language/ControlPanel/Basics/NewJournal/Tags/Prompt": {
"title": "$:/language/ControlPanel/Basics/NewJournal/Tags/Prompt",
"text": "Tags for new journal tiddlers"
},
"$:/language/ControlPanel/Basics/NewTiddler/Title/Prompt": {
"title": "$:/language/ControlPanel/Basics/NewTiddler/Title/Prompt",
"text": "Title of new tiddlers"
},
"$:/language/ControlPanel/Basics/NewTiddler/Tags/Prompt": {
"title": "$:/language/ControlPanel/Basics/NewTiddler/Tags/Prompt",
"text": "Tags for new tiddlers"
},
"$:/language/ControlPanel/Basics/OverriddenShadowTiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/OverriddenShadowTiddlers/Prompt",
"text": "Number of overridden shadow tiddlers"
},
"$:/language/ControlPanel/Basics/ShadowTiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/ShadowTiddlers/Prompt",
"text": "Number of shadow tiddlers"
},
"$:/language/ControlPanel/Basics/Subtitle/Prompt": {
"title": "$:/language/ControlPanel/Basics/Subtitle/Prompt",
"text": "Subtitle"
},
"$:/language/ControlPanel/Basics/SystemTiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/SystemTiddlers/Prompt",
"text": "Number of system tiddlers"
},
"$:/language/ControlPanel/Basics/Tags/Prompt": {
"title": "$:/language/ControlPanel/Basics/Tags/Prompt",
"text": "Number of tags"
},
"$:/language/ControlPanel/Basics/Tiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/Tiddlers/Prompt",
"text": "Number of tiddlers"
},
"$:/language/ControlPanel/Basics/Title/Prompt": {
"title": "$:/language/ControlPanel/Basics/Title/Prompt",
"text": "Title of this ~TiddlyWiki"
},
"$:/language/ControlPanel/Basics/Username/Prompt": {
"title": "$:/language/ControlPanel/Basics/Username/Prompt",
"text": "Username for signing edits"
},
"$:/language/ControlPanel/Basics/Version/Prompt": {
"title": "$:/language/ControlPanel/Basics/Version/Prompt",
"text": "~TiddlyWiki version"
},
"$:/language/ControlPanel/EditorTypes/Caption": {
"title": "$:/language/ControlPanel/EditorTypes/Caption",
"text": "Editor Types"
},
"$:/language/ControlPanel/EditorTypes/Editor/Caption": {
"title": "$:/language/ControlPanel/EditorTypes/Editor/Caption",
"text": "Editor"
},
"$:/language/ControlPanel/EditorTypes/Hint": {
"title": "$:/language/ControlPanel/EditorTypes/Hint",
"text": "These tiddlers determine which editor is used to edit specific tiddler types."
},
"$:/language/ControlPanel/EditorTypes/Type/Caption": {
"title": "$:/language/ControlPanel/EditorTypes/Type/Caption",
"text": "Type"
},
"$:/language/ControlPanel/Info/Caption": {
"title": "$:/language/ControlPanel/Info/Caption",
"text": "Info"
},
"$:/language/ControlPanel/Info/Hint": {
"title": "$:/language/ControlPanel/Info/Hint",
"text": "Information about this TiddlyWiki"
},
"$:/language/ControlPanel/KeyboardShortcuts/Add/Prompt": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Add/Prompt",
"text": "Type shortcut here"
},
"$:/language/ControlPanel/KeyboardShortcuts/Add/Caption": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Add/Caption",
"text": "add shortcut"
},
"$:/language/ControlPanel/KeyboardShortcuts/Caption": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Caption",
"text": "Keyboard Shortcuts"
},
"$:/language/ControlPanel/KeyboardShortcuts/Hint": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Hint",
"text": "Manage keyboard shortcut assignments"
},
"$:/language/ControlPanel/KeyboardShortcuts/NoShortcuts/Caption": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/NoShortcuts/Caption",
"text": "No keyboard shortcuts assigned"
},
"$:/language/ControlPanel/KeyboardShortcuts/Remove/Hint": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Remove/Hint",
"text": "remove keyboard shortcut"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/All": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/All",
"text": "All platforms"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/Mac": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/Mac",
"text": "Macintosh platform only"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/NonMac": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/NonMac",
"text": "Non-Macintosh platforms only"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/Linux": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/Linux",
"text": "Linux platform only"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/NonLinux": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/NonLinux",
"text": "Non-Linux platforms only"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/Windows": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/Windows",
"text": "Windows platform only"
},
"$:/language/ControlPanel/KeyboardShortcuts/Platform/NonWindows": {
"title": "$:/language/ControlPanel/KeyboardShortcuts/Platform/NonWindows",
"text": "Non-Windows platforms only"
},
"$:/language/ControlPanel/LoadedModules/Caption": {
"title": "$:/language/ControlPanel/LoadedModules/Caption",
"text": "Loaded Modules"
},
"$:/language/ControlPanel/LoadedModules/Hint": {
"title": "$:/language/ControlPanel/LoadedModules/Hint",
"text": "These are the currently loaded tiddler modules linked to their source tiddlers. Any italicised modules lack a source tiddler, typically because they were setup during the boot process."
},
"$:/language/ControlPanel/Palette/Caption": {
"title": "$:/language/ControlPanel/Palette/Caption",
"text": "Palette"
},
"$:/language/ControlPanel/Palette/Editor/Clone/Caption": {
"title": "$:/language/ControlPanel/Palette/Editor/Clone/Caption",
"text": "clone"
},
"$:/language/ControlPanel/Palette/Editor/Clone/Prompt": {
"title": "$:/language/ControlPanel/Palette/Editor/Clone/Prompt",
"text": "It is recommended that you clone this shadow palette before editing it"
},
"$:/language/ControlPanel/Palette/Editor/Delete/Hint": {
"title": "$:/language/ControlPanel/Palette/Editor/Delete/Hint",
"text": "delete this entry from the current palette"
},
"$:/language/ControlPanel/Palette/Editor/Names/External/Show": {
"title": "$:/language/ControlPanel/Palette/Editor/Names/External/Show",
"text": "Show color names that are not part of the current palette"
},
"$:/language/ControlPanel/Palette/Editor/Prompt/Modified": {
"title": "$:/language/ControlPanel/Palette/Editor/Prompt/Modified",
"text": "This shadow palette has been modified"
},
"$:/language/ControlPanel/Palette/Editor/Prompt": {
"title": "$:/language/ControlPanel/Palette/Editor/Prompt",
"text": "Editing"
},
"$:/language/ControlPanel/Palette/Editor/Reset/Caption": {
"title": "$:/language/ControlPanel/Palette/Editor/Reset/Caption",
"text": "reset"
},
"$:/language/ControlPanel/Palette/HideEditor/Caption": {
"title": "$:/language/ControlPanel/Palette/HideEditor/Caption",
"text": "hide editor"
},
"$:/language/ControlPanel/Palette/Prompt": {
"title": "$:/language/ControlPanel/Palette/Prompt",
"text": "Current palette:"
},
"$:/language/ControlPanel/Palette/ShowEditor/Caption": {
"title": "$:/language/ControlPanel/Palette/ShowEditor/Caption",
"text": "show editor"
},
"$:/language/ControlPanel/Parsing/Caption": {
"title": "$:/language/ControlPanel/Parsing/Caption",
"text": "Parsing"
},
"$:/language/ControlPanel/Parsing/Hint": {
"title": "$:/language/ControlPanel/Parsing/Hint",
"text": "Here you can globally disable/enable wiki parser rules. For changes to take effect, save and reload your wiki. Disabling certain parser rules can prevent <$text text=\"TiddlyWiki\"/> from functioning correctly. Use [[safe mode|https://tiddlywiki.com/#SafeMode]] to restore normal operation."
},
"$:/language/ControlPanel/Parsing/Block/Caption": {
"title": "$:/language/ControlPanel/Parsing/Block/Caption",
"text": "Block Parse Rules"
},
"$:/language/ControlPanel/Parsing/Inline/Caption": {
"title": "$:/language/ControlPanel/Parsing/Inline/Caption",
"text": "Inline Parse Rules"
},
"$:/language/ControlPanel/Parsing/Pragma/Caption": {
"title": "$:/language/ControlPanel/Parsing/Pragma/Caption",
"text": "Pragma Parse Rules"
},
"$:/language/ControlPanel/Plugins/Add/Caption": {
"title": "$:/language/ControlPanel/Plugins/Add/Caption",
"text": "Get more plugins"
},
"$:/language/ControlPanel/Plugins/Add/Hint": {
"title": "$:/language/ControlPanel/Plugins/Add/Hint",
"text": "Install plugins from the official library"
},
"$:/language/ControlPanel/Plugins/AlreadyInstalled/Hint": {
"title": "$:/language/ControlPanel/Plugins/AlreadyInstalled/Hint",
"text": "This plugin is already installed at version <$text text=<<installedVersion>>/>"
},
"$:/language/ControlPanel/Plugins/AlsoRequires": {
"title": "$:/language/ControlPanel/Plugins/AlsoRequires",
"text": "Also requires:"
},
"$:/language/ControlPanel/Plugins/Caption": {
"title": "$:/language/ControlPanel/Plugins/Caption",
"text": "Plugins"
},
"$:/language/ControlPanel/Plugins/Disable/Caption": {
"title": "$:/language/ControlPanel/Plugins/Disable/Caption",
"text": "disable"
},
"$:/language/ControlPanel/Plugins/Disable/Hint": {
"title": "$:/language/ControlPanel/Plugins/Disable/Hint",
"text": "Disable this plugin when reloading page"
},
"$:/language/ControlPanel/Plugins/Disabled/Status": {
"title": "$:/language/ControlPanel/Plugins/Disabled/Status",
"text": "(disabled)"
},
"$:/language/ControlPanel/Plugins/Downgrade/Caption": {
"title": "$:/language/ControlPanel/Plugins/Downgrade/Caption",
"text": "downgrade"
},
"$:/language/ControlPanel/Plugins/Empty/Hint": {
"title": "$:/language/ControlPanel/Plugins/Empty/Hint",
"text": "None"
},
"$:/language/ControlPanel/Plugins/Enable/Caption": {
"title": "$:/language/ControlPanel/Plugins/Enable/Caption",
"text": "enable"
},
"$:/language/ControlPanel/Plugins/Enable/Hint": {
"title": "$:/language/ControlPanel/Plugins/Enable/Hint",
"text": "Enable this plugin when reloading page"
},
"$:/language/ControlPanel/Plugins/Install/Caption": {
"title": "$:/language/ControlPanel/Plugins/Install/Caption",
"text": "install"
},
"$:/language/ControlPanel/Plugins/Installed/Hint": {
"title": "$:/language/ControlPanel/Plugins/Installed/Hint",
"text": "Currently installed plugins:"
},
"$:/language/ControlPanel/Plugins/Languages/Caption": {
"title": "$:/language/ControlPanel/Plugins/Languages/Caption",
"text": "Languages"
},
"$:/language/ControlPanel/Plugins/Languages/Hint": {
"title": "$:/language/ControlPanel/Plugins/Languages/Hint",
"text": "Language pack plugins"
},
"$:/language/ControlPanel/Plugins/NoInfoFound/Hint": {
"title": "$:/language/ControlPanel/Plugins/NoInfoFound/Hint",
"text": "No ''\"<$text text=<<currentTab>>/>\"'' found"
},
"$:/language/ControlPanel/Plugins/NotInstalled/Hint": {
"title": "$:/language/ControlPanel/Plugins/NotInstalled/Hint",
"text": "This plugin is not currently installed"
},
"$:/language/ControlPanel/Plugins/OpenPluginLibrary": {
"title": "$:/language/ControlPanel/Plugins/OpenPluginLibrary",
"text": "open plugin library"
},
"$:/language/ControlPanel/Plugins/ClosePluginLibrary": {
"title": "$:/language/ControlPanel/Plugins/ClosePluginLibrary",
"text": "close plugin library"
},
"$:/language/ControlPanel/Plugins/PluginWillRequireReload": {
"title": "$:/language/ControlPanel/Plugins/PluginWillRequireReload",
"text": "(requires reload)"
},
"$:/language/ControlPanel/Plugins/Plugins/Caption": {
"title": "$:/language/ControlPanel/Plugins/Plugins/Caption",
"text": "Plugins"
},
"$:/language/ControlPanel/Plugins/Plugins/Hint": {
"title": "$:/language/ControlPanel/Plugins/Plugins/Hint",
"text": "Plugins"
},
"$:/language/ControlPanel/Plugins/Reinstall/Caption": {
"title": "$:/language/ControlPanel/Plugins/Reinstall/Caption",
"text": "reinstall"
},
"$:/language/ControlPanel/Plugins/Themes/Caption": {
"title": "$:/language/ControlPanel/Plugins/Themes/Caption",
"text": "Themes"
},
"$:/language/ControlPanel/Plugins/Themes/Hint": {
"title": "$:/language/ControlPanel/Plugins/Themes/Hint",
"text": "Theme plugins"
},
"$:/language/ControlPanel/Plugins/Update/Caption": {
"title": "$:/language/ControlPanel/Plugins/Update/Caption",
"text": "update"
},
"$:/language/ControlPanel/Plugins/Updates/Caption": {
"title": "$:/language/ControlPanel/Plugins/Updates/Caption",
"text": "Updates"
},
"$:/language/ControlPanel/Plugins/Updates/Hint": {
"title": "$:/language/ControlPanel/Plugins/Updates/Hint",
"text": "Available updates to installed plugins"
},
"$:/language/ControlPanel/Plugins/Updates/UpdateAll/Caption": {
"title": "$:/language/ControlPanel/Plugins/Updates/UpdateAll/Caption",
"text": "Update <<update-count>> plugins"
},
"$:/language/ControlPanel/Plugins/SubPluginPrompt": {
"title": "$:/language/ControlPanel/Plugins/SubPluginPrompt",
"text": "With <<count>> sub-plugins available"
},
"$:/language/ControlPanel/Saving/Caption": {
"title": "$:/language/ControlPanel/Saving/Caption",
"text": "Saving"
},
"$:/language/ControlPanel/Saving/DownloadSaver/AutoSave/Description": {
"title": "$:/language/ControlPanel/Saving/DownloadSaver/AutoSave/Description",
"text": "Permit automatic saving for the download saver"
},
"$:/language/ControlPanel/Saving/DownloadSaver/AutoSave/Hint": {
"title": "$:/language/ControlPanel/Saving/DownloadSaver/AutoSave/Hint",
"text": "Enable Autosave for Download Saver"
},
"$:/language/ControlPanel/Saving/DownloadSaver/Caption": {
"title": "$:/language/ControlPanel/Saving/DownloadSaver/Caption",
"text": "Download Saver"
},
"$:/language/ControlPanel/Saving/DownloadSaver/Hint": {
"title": "$:/language/ControlPanel/Saving/DownloadSaver/Hint",
"text": "These settings apply to the HTML5-compatible download saver"
},
"$:/language/ControlPanel/Saving/General/Caption": {
"title": "$:/language/ControlPanel/Saving/General/Caption",
"text": "General"
},
"$:/language/ControlPanel/Saving/General/Hint": {
"title": "$:/language/ControlPanel/Saving/General/Hint",
"text": "These settings apply to all the loaded savers"
},
"$:/language/ControlPanel/Saving/Hint": {
"title": "$:/language/ControlPanel/Saving/Hint",
"text": "Settings used for saving the entire TiddlyWiki as a single file via a saver module"
},
"$:/language/ControlPanel/Saving/GitService/Branch": {
"title": "$:/language/ControlPanel/Saving/GitService/Branch",
"text": "Target branch for saving"
},
"$:/language/ControlPanel/Saving/GitService/CommitMessage": {
"title": "$:/language/ControlPanel/Saving/GitService/CommitMessage",
"text": "Saved by TiddlyWiki"
},
"$:/language/ControlPanel/Saving/GitService/Description": {
"title": "$:/language/ControlPanel/Saving/GitService/Description",
"text": "These settings are only used when saving to <<service-name>>"
},
"$:/language/ControlPanel/Saving/GitService/Filename": {
"title": "$:/language/ControlPanel/Saving/GitService/Filename",
"text": "Filename of target file (e.g. `index.html`)"
},
"$:/language/ControlPanel/Saving/GitService/Path": {
"title": "$:/language/ControlPanel/Saving/GitService/Path",
"text": "Path to target file (e.g. `/wiki/`)"
},
"$:/language/ControlPanel/Saving/GitService/Repo": {
"title": "$:/language/ControlPanel/Saving/GitService/Repo",
"text": "Target repository (e.g. `Jermolene/TiddlyWiki5`)"
},
"$:/language/ControlPanel/Saving/GitService/ServerURL": {
"title": "$:/language/ControlPanel/Saving/GitService/ServerURL",
"text": "Server API URL"
},
"$:/language/ControlPanel/Saving/GitService/UserName": {
"title": "$:/language/ControlPanel/Saving/GitService/UserName",
"text": "Username"
},
"$:/language/ControlPanel/Saving/GitService/GitHub/Caption": {
"title": "$:/language/ControlPanel/Saving/GitService/GitHub/Caption",
"text": "~GitHub Saver"
},
"$:/language/ControlPanel/Saving/GitService/GitHub/Password": {
"title": "$:/language/ControlPanel/Saving/GitService/GitHub/Password",
"text": "Password, OAUTH token, or personal access token (see [[GitHub help page|https://help.github.com/en/articles/creating-a-personal-access-token-for-the-command-line]] for details)"
},
"$:/language/ControlPanel/Saving/GitService/GitLab/Caption": {
"title": "$:/language/ControlPanel/Saving/GitService/GitLab/Caption",
"text": "~GitLab Saver"
},
"$:/language/ControlPanel/Saving/GitService/GitLab/Password": {
"title": "$:/language/ControlPanel/Saving/GitService/GitLab/Password",
"text": "Personal access token for API (see [[GitLab help page|https://docs.gitlab.com/ee/user/profile/personal_access_tokens.html]] for details)"
},
"$:/language/ControlPanel/Saving/GitService/Gitea/Caption": {
"title": "$:/language/ControlPanel/Saving/GitService/Gitea/Caption",
"text": "Gitea Saver"
},
"$:/language/ControlPanel/Saving/GitService/Gitea/Password": {
"title": "$:/language/ControlPanel/Saving/GitService/Gitea/Password",
"text": "Personal access token for API (via Gitea’s web interface: `Settings | Applications | Generate New Token`)"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Advanced/Heading": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Advanced/Heading",
"text": "Advanced Settings"
},
"$:/language/ControlPanel/Saving/TiddlySpot/BackupDir": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/BackupDir",
"text": "Backup Directory"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Backups": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Backups",
"text": "Backups"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Caption": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Caption",
"text": "~TiddlySpot Saver"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Description": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Description",
"text": "These settings are only used when saving to http://tiddlyspot.com or a compatible remote server"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Filename": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Filename",
"text": "Upload Filename"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Heading": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Heading",
"text": "~TiddlySpot"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Hint": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Hint",
"text": "//The server URL defaults to `http://<wikiname>.tiddlyspot.com/store.cgi` and can be changed to use a custom server address, e.g. `http://example.com/store.php`.//"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Password": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Password",
"text": "Password"
},
"$:/language/ControlPanel/Saving/TiddlySpot/ServerURL": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/ServerURL",
"text": "Server URL"
},
"$:/language/ControlPanel/Saving/TiddlySpot/UploadDir": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/UploadDir",
"text": "Upload Directory"
},
"$:/language/ControlPanel/Saving/TiddlySpot/UserName": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/UserName",
"text": "Wiki Name"
},
"$:/language/ControlPanel/Settings/AutoSave/Caption": {
"title": "$:/language/ControlPanel/Settings/AutoSave/Caption",
"text": "Autosave"
},
"$:/language/ControlPanel/Settings/AutoSave/Disabled/Description": {
"title": "$:/language/ControlPanel/Settings/AutoSave/Disabled/Description",
"text": "Do not save changes automatically"
},
"$:/language/ControlPanel/Settings/AutoSave/Enabled/Description": {
"title": "$:/language/ControlPanel/Settings/AutoSave/Enabled/Description",
"text": "Save changes automatically"
},
"$:/language/ControlPanel/Settings/AutoSave/Hint": {
"title": "$:/language/ControlPanel/Settings/AutoSave/Hint",
"text": "Attempt to automatically save changes during editing when using a supporting saver"
},
"$:/language/ControlPanel/Settings/CamelCase/Caption": {
"title": "$:/language/ControlPanel/Settings/CamelCase/Caption",
"text": "Camel Case Wiki Links"
},
"$:/language/ControlPanel/Settings/CamelCase/Hint": {
"title": "$:/language/ControlPanel/Settings/CamelCase/Hint",
"text": "You can globally disable automatic linking of ~CamelCase phrases. Requires reload to take effect"
},
"$:/language/ControlPanel/Settings/CamelCase/Description": {
"title": "$:/language/ControlPanel/Settings/CamelCase/Description",
"text": "Enable automatic ~CamelCase linking"
},
"$:/language/ControlPanel/Settings/Caption": {
"title": "$:/language/ControlPanel/Settings/Caption",
"text": "Settings"
},
"$:/language/ControlPanel/Settings/EditorToolbar/Caption": {
"title": "$:/language/ControlPanel/Settings/EditorToolbar/Caption",
"text": "Editor Toolbar"
},
"$:/language/ControlPanel/Settings/EditorToolbar/Hint": {
"title": "$:/language/ControlPanel/Settings/EditorToolbar/Hint",
"text": "Enable or disable the editor toolbar:"
},
"$:/language/ControlPanel/Settings/EditorToolbar/Description": {
"title": "$:/language/ControlPanel/Settings/EditorToolbar/Description",
"text": "Show editor toolbar"
},
"$:/language/ControlPanel/Settings/InfoPanelMode/Caption": {
"title": "$:/language/ControlPanel/Settings/InfoPanelMode/Caption",
"text": "Tiddler Info Panel Mode"
},
"$:/language/ControlPanel/Settings/InfoPanelMode/Hint": {
"title": "$:/language/ControlPanel/Settings/InfoPanelMode/Hint",
"text": "Control when the tiddler info panel closes:"
},
"$:/language/ControlPanel/Settings/InfoPanelMode/Popup/Description": {
"title": "$:/language/ControlPanel/Settings/InfoPanelMode/Popup/Description",
"text": "Tiddler info panel closes automatically"
},
"$:/language/ControlPanel/Settings/InfoPanelMode/Sticky/Description": {
"title": "$:/language/ControlPanel/Settings/InfoPanelMode/Sticky/Description",
"text": "Tiddler info panel stays open until explicitly closed"
},
"$:/language/ControlPanel/Settings/Hint": {
"title": "$:/language/ControlPanel/Settings/Hint",
"text": "These settings let you customise the behaviour of TiddlyWiki."
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/Caption": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Caption",
"text": "Navigation Address Bar"
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/Hint": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Hint",
"text": "Behaviour of the browser address bar when navigating to a tiddler:"
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/No/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/No/Description",
"text": "Do not update the address bar"
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/Permalink/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Permalink/Description",
"text": "Include the target tiddler"
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/Permaview/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Permaview/Description",
"text": "Include the target tiddler and the current story sequence"
},
"$:/language/ControlPanel/Settings/NavigationHistory/Caption": {
"title": "$:/language/ControlPanel/Settings/NavigationHistory/Caption",
"text": "Navigation History"
},
"$:/language/ControlPanel/Settings/NavigationHistory/Hint": {
"title": "$:/language/ControlPanel/Settings/NavigationHistory/Hint",
"text": "Update browser history when navigating to a tiddler:"
},
"$:/language/ControlPanel/Settings/NavigationHistory/No/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationHistory/No/Description",
"text": "Do not update history"
},
"$:/language/ControlPanel/Settings/NavigationHistory/Yes/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationHistory/Yes/Description",
"text": "Update history"
},
"$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Caption": {
"title": "$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Caption",
"text": "Permalink/permaview Mode"
},
"$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Hint": {
"title": "$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Hint",
"text": "Choose how permalink/permaview is handled:"
},
"$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/CopyToClipboard/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/CopyToClipboard/Description",
"text": "Copy permalink/permaview URL to clipboard"
},
"$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/UpdateAddressBar/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/UpdateAddressBar/Description",
"text": "Update address bar with permalink/permaview URL"
},
"$:/language/ControlPanel/Settings/PerformanceInstrumentation/Caption": {
"title": "$:/language/ControlPanel/Settings/PerformanceInstrumentation/Caption",
"text": "Performance Instrumentation"
},
"$:/language/ControlPanel/Settings/PerformanceInstrumentation/Hint": {
"title": "$:/language/ControlPanel/Settings/PerformanceInstrumentation/Hint",
"text": "Displays performance statistics in the browser developer console. Requires reload to take effect"
},
"$:/language/ControlPanel/Settings/PerformanceInstrumentation/Description": {
"title": "$:/language/ControlPanel/Settings/PerformanceInstrumentation/Description",
"text": "Enable performance instrumentation"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Caption": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Caption",
"text": "Toolbar Button Style"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Hint": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Hint",
"text": "Choose the style for toolbar buttons:"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Borderless": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Borderless",
"text": "Borderless"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Boxed": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Boxed",
"text": "Boxed"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Rounded": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Rounded",
"text": "Rounded"
},
"$:/language/ControlPanel/Settings/ToolbarButtons/Caption": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtons/Caption",
"text": "Toolbar Buttons"
},
"$:/language/ControlPanel/Settings/ToolbarButtons/Hint": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtons/Hint",
"text": "Default toolbar button appearance:"
},
"$:/language/ControlPanel/Settings/ToolbarButtons/Icons/Description": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtons/Icons/Description",
"text": "Include icon"
},
"$:/language/ControlPanel/Settings/ToolbarButtons/Text/Description": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtons/Text/Description",
"text": "Include text"
},
"$:/language/ControlPanel/Settings/DefaultSidebarTab/Caption": {
"title": "$:/language/ControlPanel/Settings/DefaultSidebarTab/Caption",
"text": "Default Sidebar Tab"
},
"$:/language/ControlPanel/Settings/DefaultSidebarTab/Hint": {
"title": "$:/language/ControlPanel/Settings/DefaultSidebarTab/Hint",
"text": "Specify which sidebar tab is displayed by default"
},
"$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Caption": {
"title": "$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Caption",
"text": "Default More Sidebar Tab"
},
"$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Hint": {
"title": "$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Hint",
"text": "Specify which More sidebar tab is displayed by default"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/Caption": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/Caption",
"text": "Tiddler Opening Behaviour"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/InsideRiver/Hint": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/InsideRiver/Hint",
"text": "Navigation from //within// the story river"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OutsideRiver/Hint": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OutsideRiver/Hint",
"text": "Navigation from //outside// the story river"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAbove": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAbove",
"text": "Open above the current tiddler"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenBelow": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenBelow",
"text": "Open below the current tiddler"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtTop": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtTop",
"text": "Open at the top of the story river"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtBottom": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtBottom",
"text": "Open at the bottom of the story river"
},
"$:/language/ControlPanel/Settings/TitleLinks/Caption": {
"title": "$:/language/ControlPanel/Settings/TitleLinks/Caption",
"text": "Tiddler Titles"
},
"$:/language/ControlPanel/Settings/TitleLinks/Hint": {
"title": "$:/language/ControlPanel/Settings/TitleLinks/Hint",
"text": "Optionally display tiddler titles as links"
},
"$:/language/ControlPanel/Settings/TitleLinks/No/Description": {
"title": "$:/language/ControlPanel/Settings/TitleLinks/No/Description",
"text": "Do not display tiddler titles as links"
},
"$:/language/ControlPanel/Settings/TitleLinks/Yes/Description": {
"title": "$:/language/ControlPanel/Settings/TitleLinks/Yes/Description",
"text": "Display tiddler titles as links"
},
"$:/language/ControlPanel/Settings/MissingLinks/Caption": {
"title": "$:/language/ControlPanel/Settings/MissingLinks/Caption",
"text": "Wiki Links"
},
"$:/language/ControlPanel/Settings/MissingLinks/Hint": {
"title": "$:/language/ControlPanel/Settings/MissingLinks/Hint",
"text": "Choose whether to link to tiddlers that do not exist yet"
},
"$:/language/ControlPanel/Settings/MissingLinks/Description": {
"title": "$:/language/ControlPanel/Settings/MissingLinks/Description",
"text": "Enable links to missing tiddlers"
},
"$:/language/ControlPanel/StoryView/Caption": {
"title": "$:/language/ControlPanel/StoryView/Caption",
"text": "Story View"
},
"$:/language/ControlPanel/StoryView/Prompt": {
"title": "$:/language/ControlPanel/StoryView/Prompt",
"text": "Current view:"
},
"$:/language/ControlPanel/Stylesheets/Caption": {
"title": "$:/language/ControlPanel/Stylesheets/Caption",
"text": "Stylesheets"
},
"$:/language/ControlPanel/Stylesheets/Expand/Caption": {
"title": "$:/language/ControlPanel/Stylesheets/Expand/Caption",
"text": "Expand All"
},
"$:/language/ControlPanel/Stylesheets/Hint": {
"title": "$:/language/ControlPanel/Stylesheets/Hint",
"text": "This is the rendered CSS of the current stylesheet tiddlers tagged with <<tag \"$:/tags/Stylesheet\">>"
},
"$:/language/ControlPanel/Stylesheets/Restore/Caption": {
"title": "$:/language/ControlPanel/Stylesheets/Restore/Caption",
"text": "Restore"
},
"$:/language/ControlPanel/Theme/Caption": {
"title": "$:/language/ControlPanel/Theme/Caption",
"text": "Theme"
},
"$:/language/ControlPanel/Theme/Prompt": {
"title": "$:/language/ControlPanel/Theme/Prompt",
"text": "Current theme:"
},
"$:/language/ControlPanel/TiddlerFields/Caption": {
"title": "$:/language/ControlPanel/TiddlerFields/Caption",
"text": "Tiddler Fields"
},
"$:/language/ControlPanel/TiddlerFields/Hint": {
"title": "$:/language/ControlPanel/TiddlerFields/Hint",
"text": "This is the full set of TiddlerFields in use in this wiki (including system tiddlers but excluding shadow tiddlers)."
},
"$:/language/ControlPanel/Toolbars/Caption": {
"title": "$:/language/ControlPanel/Toolbars/Caption",
"text": "Toolbars"
},
"$:/language/ControlPanel/Toolbars/EditToolbar/Caption": {
"title": "$:/language/ControlPanel/Toolbars/EditToolbar/Caption",
"text": "Edit Toolbar"
},
"$:/language/ControlPanel/Toolbars/EditToolbar/Hint": {
"title": "$:/language/ControlPanel/Toolbars/EditToolbar/Hint",
"text": "Choose which buttons are displayed for tiddlers in edit mode. Drag and drop to change the ordering"
},
"$:/language/ControlPanel/Toolbars/Hint": {
"title": "$:/language/ControlPanel/Toolbars/Hint",
"text": "Select which toolbar buttons are displayed"
},
"$:/language/ControlPanel/Toolbars/PageControls/Caption": {
"title": "$:/language/ControlPanel/Toolbars/PageControls/Caption",
"text": "Page Toolbar"
},
"$:/language/ControlPanel/Toolbars/PageControls/Hint": {
"title": "$:/language/ControlPanel/Toolbars/PageControls/Hint",
"text": "Choose which buttons are displayed on the main page toolbar. Drag and drop to change the ordering"
},
"$:/language/ControlPanel/Toolbars/EditorToolbar/Caption": {
"title": "$:/language/ControlPanel/Toolbars/EditorToolbar/Caption",
"text": "Editor Toolbar"
},
"$:/language/ControlPanel/Toolbars/EditorToolbar/Hint": {
"title": "$:/language/ControlPanel/Toolbars/EditorToolbar/Hint",
"text": "Choose which buttons are displayed in the editor toolbar. Note that some buttons will only appear when editing tiddlers of a certain type. Drag and drop to change the ordering"
},
"$:/language/ControlPanel/Toolbars/ViewToolbar/Caption": {
"title": "$:/language/ControlPanel/Toolbars/ViewToolbar/Caption",
"text": "View Toolbar"
},
"$:/language/ControlPanel/Toolbars/ViewToolbar/Hint": {
"title": "$:/language/ControlPanel/Toolbars/ViewToolbar/Hint",
"text": "Choose which buttons are displayed for tiddlers in view mode. Drag and drop to change the ordering"
},
"$:/language/ControlPanel/Tools/Download/Full/Caption": {
"title": "$:/language/ControlPanel/Tools/Download/Full/Caption",
"text": "Download full wiki"
},
"$:/language/Date/DaySuffix/1": {
"title": "$:/language/Date/DaySuffix/1",
"text": "st"
},
"$:/language/Date/DaySuffix/2": {
"title": "$:/language/Date/DaySuffix/2",
"text": "nd"
},
"$:/language/Date/DaySuffix/3": {
"title": "$:/language/Date/DaySuffix/3",
"text": "rd"
},
"$:/language/Date/DaySuffix/4": {
"title": "$:/language/Date/DaySuffix/4",
"text": "th"
},
"$:/language/Date/DaySuffix/5": {
"title": "$:/language/Date/DaySuffix/5",
"text": "th"
},
"$:/language/Date/DaySuffix/6": {
"title": "$:/language/Date/DaySuffix/6",
"text": "th"
},
"$:/language/Date/DaySuffix/7": {
"title": "$:/language/Date/DaySuffix/7",
"text": "th"
},
"$:/language/Date/DaySuffix/8": {
"title": "$:/language/Date/DaySuffix/8",
"text": "th"
},
"$:/language/Date/DaySuffix/9": {
"title": "$:/language/Date/DaySuffix/9",
"text": "th"
},
"$:/language/Date/DaySuffix/10": {
"title": "$:/language/Date/DaySuffix/10",
"text": "th"
},
"$:/language/Date/DaySuffix/11": {
"title": "$:/language/Date/DaySuffix/11",
"text": "th"
},
"$:/language/Date/DaySuffix/12": {
"title": "$:/language/Date/DaySuffix/12",
"text": "th"
},
"$:/language/Date/DaySuffix/13": {
"title": "$:/language/Date/DaySuffix/13",
"text": "th"
},
"$:/language/Date/DaySuffix/14": {
"title": "$:/language/Date/DaySuffix/14",
"text": "th"
},
"$:/language/Date/DaySuffix/15": {
"title": "$:/language/Date/DaySuffix/15",
"text": "th"
},
"$:/language/Date/DaySuffix/16": {
"title": "$:/language/Date/DaySuffix/16",
"text": "th"
},
"$:/language/Date/DaySuffix/17": {
"title": "$:/language/Date/DaySuffix/17",
"text": "th"
},
"$:/language/Date/DaySuffix/18": {
"title": "$:/language/Date/DaySuffix/18",
"text": "th"
},
"$:/language/Date/DaySuffix/19": {
"title": "$:/language/Date/DaySuffix/19",
"text": "th"
},
"$:/language/Date/DaySuffix/20": {
"title": "$:/language/Date/DaySuffix/20",
"text": "th"
},
"$:/language/Date/DaySuffix/21": {
"title": "$:/language/Date/DaySuffix/21",
"text": "st"
},
"$:/language/Date/DaySuffix/22": {
"title": "$:/language/Date/DaySuffix/22",
"text": "nd"
},
"$:/language/Date/DaySuffix/23": {
"title": "$:/language/Date/DaySuffix/23",
"text": "rd"
},
"$:/language/Date/DaySuffix/24": {
"title": "$:/language/Date/DaySuffix/24",
"text": "th"
},
"$:/language/Date/DaySuffix/25": {
"title": "$:/language/Date/DaySuffix/25",
"text": "th"
},
"$:/language/Date/DaySuffix/26": {
"title": "$:/language/Date/DaySuffix/26",
"text": "th"
},
"$:/language/Date/DaySuffix/27": {
"title": "$:/language/Date/DaySuffix/27",
"text": "th"
},
"$:/language/Date/DaySuffix/28": {
"title": "$:/language/Date/DaySuffix/28",
"text": "th"
},
"$:/language/Date/DaySuffix/29": {
"title": "$:/language/Date/DaySuffix/29",
"text": "th"
},
"$:/language/Date/DaySuffix/30": {
"title": "$:/language/Date/DaySuffix/30",
"text": "th"
},
"$:/language/Date/DaySuffix/31": {
"title": "$:/language/Date/DaySuffix/31",
"text": "st"
},
"$:/language/Date/Long/Day/0": {
"title": "$:/language/Date/Long/Day/0",
"text": "Sunday"
},
"$:/language/Date/Long/Day/1": {
"title": "$:/language/Date/Long/Day/1",
"text": "Monday"
},
"$:/language/Date/Long/Day/2": {
"title": "$:/language/Date/Long/Day/2",
"text": "Tuesday"
},
"$:/language/Date/Long/Day/3": {
"title": "$:/language/Date/Long/Day/3",
"text": "Wednesday"
},
"$:/language/Date/Long/Day/4": {
"title": "$:/language/Date/Long/Day/4",
"text": "Thursday"
},
"$:/language/Date/Long/Day/5": {
"title": "$:/language/Date/Long/Day/5",
"text": "Friday"
},
"$:/language/Date/Long/Day/6": {
"title": "$:/language/Date/Long/Day/6",
"text": "Saturday"
},
"$:/language/Date/Long/Month/1": {
"title": "$:/language/Date/Long/Month/1",
"text": "January"
},
"$:/language/Date/Long/Month/2": {
"title": "$:/language/Date/Long/Month/2",
"text": "February"
},
"$:/language/Date/Long/Month/3": {
"title": "$:/language/Date/Long/Month/3",
"text": "March"
},
"$:/language/Date/Long/Month/4": {
"title": "$:/language/Date/Long/Month/4",
"text": "April"
},
"$:/language/Date/Long/Month/5": {
"title": "$:/language/Date/Long/Month/5",
"text": "May"
},
"$:/language/Date/Long/Month/6": {
"title": "$:/language/Date/Long/Month/6",
"text": "June"
},
"$:/language/Date/Long/Month/7": {
"title": "$:/language/Date/Long/Month/7",
"text": "July"
},
"$:/language/Date/Long/Month/8": {
"title": "$:/language/Date/Long/Month/8",
"text": "August"
},
"$:/language/Date/Long/Month/9": {
"title": "$:/language/Date/Long/Month/9",
"text": "September"
},
"$:/language/Date/Long/Month/10": {
"title": "$:/language/Date/Long/Month/10",
"text": "October"
},
"$:/language/Date/Long/Month/11": {
"title": "$:/language/Date/Long/Month/11",
"text": "November"
},
"$:/language/Date/Long/Month/12": {
"title": "$:/language/Date/Long/Month/12",
"text": "December"
},
"$:/language/Date/Period/am": {
"title": "$:/language/Date/Period/am",
"text": "am"
},
"$:/language/Date/Period/pm": {
"title": "$:/language/Date/Period/pm",
"text": "pm"
},
"$:/language/Date/Short/Day/0": {
"title": "$:/language/Date/Short/Day/0",
"text": "Sun"
},
"$:/language/Date/Short/Day/1": {
"title": "$:/language/Date/Short/Day/1",
"text": "Mon"
},
"$:/language/Date/Short/Day/2": {
"title": "$:/language/Date/Short/Day/2",
"text": "Tue"
},
"$:/language/Date/Short/Day/3": {
"title": "$:/language/Date/Short/Day/3",
"text": "Wed"
},
"$:/language/Date/Short/Day/4": {
"title": "$:/language/Date/Short/Day/4",
"text": "Thu"
},
"$:/language/Date/Short/Day/5": {
"title": "$:/language/Date/Short/Day/5",
"text": "Fri"
},
"$:/language/Date/Short/Day/6": {
"title": "$:/language/Date/Short/Day/6",
"text": "Sat"
},
"$:/language/Date/Short/Month/1": {
"title": "$:/language/Date/Short/Month/1",
"text": "Jan"
},
"$:/language/Date/Short/Month/2": {
"title": "$:/language/Date/Short/Month/2",
"text": "Feb"
},
"$:/language/Date/Short/Month/3": {
"title": "$:/language/Date/Short/Month/3",
"text": "Mar"
},
"$:/language/Date/Short/Month/4": {
"title": "$:/language/Date/Short/Month/4",
"text": "Apr"
},
"$:/language/Date/Short/Month/5": {
"title": "$:/language/Date/Short/Month/5",
"text": "May"
},
"$:/language/Date/Short/Month/6": {
"title": "$:/language/Date/Short/Month/6",
"text": "Jun"
},
"$:/language/Date/Short/Month/7": {
"title": "$:/language/Date/Short/Month/7",
"text": "Jul"
},
"$:/language/Date/Short/Month/8": {
"title": "$:/language/Date/Short/Month/8",
"text": "Aug"
},
"$:/language/Date/Short/Month/9": {
"title": "$:/language/Date/Short/Month/9",
"text": "Sep"
},
"$:/language/Date/Short/Month/10": {
"title": "$:/language/Date/Short/Month/10",
"text": "Oct"
},
"$:/language/Date/Short/Month/11": {
"title": "$:/language/Date/Short/Month/11",
"text": "Nov"
},
"$:/language/Date/Short/Month/12": {
"title": "$:/language/Date/Short/Month/12",
"text": "Dec"
},
"$:/language/RelativeDate/Future/Days": {
"title": "$:/language/RelativeDate/Future/Days",
"text": "<<period>> days from now"
},
"$:/language/RelativeDate/Future/Hours": {
"title": "$:/language/RelativeDate/Future/Hours",
"text": "<<period>> hours from now"
},
"$:/language/RelativeDate/Future/Minutes": {
"title": "$:/language/RelativeDate/Future/Minutes",
"text": "<<period>> minutes from now"
},
"$:/language/RelativeDate/Future/Months": {
"title": "$:/language/RelativeDate/Future/Months",
"text": "<<period>> months from now"
},
"$:/language/RelativeDate/Future/Second": {
"title": "$:/language/RelativeDate/Future/Second",
"text": "1 second from now"
},
"$:/language/RelativeDate/Future/Seconds": {
"title": "$:/language/RelativeDate/Future/Seconds",
"text": "<<period>> seconds from now"
},
"$:/language/RelativeDate/Future/Years": {
"title": "$:/language/RelativeDate/Future/Years",
"text": "<<period>> years from now"
},
"$:/language/RelativeDate/Past/Days": {
"title": "$:/language/RelativeDate/Past/Days",
"text": "<<period>> days ago"
},
"$:/language/RelativeDate/Past/Hours": {
"title": "$:/language/RelativeDate/Past/Hours",
"text": "<<period>> hours ago"
},
"$:/language/RelativeDate/Past/Minutes": {
"title": "$:/language/RelativeDate/Past/Minutes",
"text": "<<period>> minutes ago"
},
"$:/language/RelativeDate/Past/Months": {
"title": "$:/language/RelativeDate/Past/Months",
"text": "<<period>> months ago"
},
"$:/language/RelativeDate/Past/Second": {
"title": "$:/language/RelativeDate/Past/Second",
"text": "1 second ago"
},
"$:/language/RelativeDate/Past/Seconds": {
"title": "$:/language/RelativeDate/Past/Seconds",
"text": "<<period>> seconds ago"
},
"$:/language/RelativeDate/Past/Years": {
"title": "$:/language/RelativeDate/Past/Years",
"text": "<<period>> years ago"
},
"$:/language/Docs/ModuleTypes/allfilteroperator": {
"title": "$:/language/Docs/ModuleTypes/allfilteroperator",
"text": "A sub-operator for the ''all'' filter operator."
},
"$:/language/Docs/ModuleTypes/animation": {
"title": "$:/language/Docs/ModuleTypes/animation",
"text": "Animations that may be used with the RevealWidget."
},
"$:/language/Docs/ModuleTypes/authenticator": {
"title": "$:/language/Docs/ModuleTypes/authenticator",
"text": "Defines how requests are authenticated by the built-in HTTP server."
},
"$:/language/Docs/ModuleTypes/bitmapeditoroperation": {
"title": "$:/language/Docs/ModuleTypes/bitmapeditoroperation",
"text": "A bitmap editor toolbar operation."
},
"$:/language/Docs/ModuleTypes/command": {
"title": "$:/language/Docs/ModuleTypes/command",
"text": "Commands that can be executed under Node.js."
},
"$:/language/Docs/ModuleTypes/config": {
"title": "$:/language/Docs/ModuleTypes/config",
"text": "Data to be inserted into `$tw.config`."
},
"$:/language/Docs/ModuleTypes/filteroperator": {
"title": "$:/language/Docs/ModuleTypes/filteroperator",
"text": "Individual filter operator methods."
},
"$:/language/Docs/ModuleTypes/global": {
"title": "$:/language/Docs/ModuleTypes/global",
"text": "Global data to be inserted into `$tw`."
},
"$:/language/Docs/ModuleTypes/info": {
"title": "$:/language/Docs/ModuleTypes/info",
"text": "Publishes system information via the [[$:/temp/info-plugin]] pseudo-plugin."
},
"$:/language/Docs/ModuleTypes/isfilteroperator": {
"title": "$:/language/Docs/ModuleTypes/isfilteroperator",
"text": "Operands for the ''is'' filter operator."
},
"$:/language/Docs/ModuleTypes/library": {
"title": "$:/language/Docs/ModuleTypes/library",
"text": "Generic module type for general purpose JavaScript modules."
},
"$:/language/Docs/ModuleTypes/macro": {
"title": "$:/language/Docs/ModuleTypes/macro",
"text": "JavaScript macro definitions."
},
"$:/language/Docs/ModuleTypes/parser": {
"title": "$:/language/Docs/ModuleTypes/parser",
"text": "Parsers for different content types."
},
"$:/language/Docs/ModuleTypes/route": {
"title": "$:/language/Docs/ModuleTypes/route",
"text": "Defines how individual URL patterns are handled by the built-in HTTP server."
},
"$:/language/Docs/ModuleTypes/saver": {
"title": "$:/language/Docs/ModuleTypes/saver",
"text": "Savers handle different methods for saving files from the browser."
},
"$:/language/Docs/ModuleTypes/startup": {
"title": "$:/language/Docs/ModuleTypes/startup",
"text": "Startup functions."
},
"$:/language/Docs/ModuleTypes/storyview": {
"title": "$:/language/Docs/ModuleTypes/storyview",
"text": "Story views customise the animation and behaviour of list widgets."
},
"$:/language/Docs/ModuleTypes/texteditoroperation": {
"title": "$:/language/Docs/ModuleTypes/texteditoroperation",
"text": "A text editor toolbar operation."
},
"$:/language/Docs/ModuleTypes/tiddlerdeserializer": {
"title": "$:/language/Docs/ModuleTypes/tiddlerdeserializer",
"text": "Converts different content types into tiddlers."
},
"$:/language/Docs/ModuleTypes/tiddlerfield": {
"title": "$:/language/Docs/ModuleTypes/tiddlerfield",
"text": "Defines the behaviour of an individual tiddler field."
},
"$:/language/Docs/ModuleTypes/tiddlermethod": {
"title": "$:/language/Docs/ModuleTypes/tiddlermethod",
"text": "Adds methods to the `$tw.Tiddler` prototype."
},
"$:/language/Docs/ModuleTypes/upgrader": {
"title": "$:/language/Docs/ModuleTypes/upgrader",
"text": "Applies upgrade processing to tiddlers during an upgrade/import."
},
"$:/language/Docs/ModuleTypes/utils": {
"title": "$:/language/Docs/ModuleTypes/utils",
"text": "Adds methods to `$tw.utils`."
},
"$:/language/Docs/ModuleTypes/utils-node": {
"title": "$:/language/Docs/ModuleTypes/utils-node",
"text": "Adds Node.js-specific methods to `$tw.utils`."
},
"$:/language/Docs/ModuleTypes/widget": {
"title": "$:/language/Docs/ModuleTypes/widget",
"text": "Widgets encapsulate DOM rendering and refreshing."
},
"$:/language/Docs/ModuleTypes/wikimethod": {
"title": "$:/language/Docs/ModuleTypes/wikimethod",
"text": "Adds methods to `$tw.Wiki`."
},
"$:/language/Docs/ModuleTypes/wikirule": {
"title": "$:/language/Docs/ModuleTypes/wikirule",
"text": "Individual parser rules for the main WikiText parser."
},
"$:/language/Docs/PaletteColours/alert-background": {
"title": "$:/language/Docs/PaletteColours/alert-background",
"text": "Alert background"
},
"$:/language/Docs/PaletteColours/alert-border": {
"title": "$:/language/Docs/PaletteColours/alert-border",
"text": "Alert border"
},
"$:/language/Docs/PaletteColours/alert-highlight": {
"title": "$:/language/Docs/PaletteColours/alert-highlight",
"text": "Alert highlight"
},
"$:/language/Docs/PaletteColours/alert-muted-foreground": {
"title": "$:/language/Docs/PaletteColours/alert-muted-foreground",
"text": "Alert muted foreground"
},
"$:/language/Docs/PaletteColours/background": {
"title": "$:/language/Docs/PaletteColours/background",
"text": "General background"
},
"$:/language/Docs/PaletteColours/blockquote-bar": {
"title": "$:/language/Docs/PaletteColours/blockquote-bar",
"text": "Blockquote bar"
},
"$:/language/Docs/PaletteColours/button-background": {
"title": "$:/language/Docs/PaletteColours/button-background",
"text": "Default button background"
},
"$:/language/Docs/PaletteColours/button-border": {
"title": "$:/language/Docs/PaletteColours/button-border",
"text": "Default button border"
},
"$:/language/Docs/PaletteColours/button-foreground": {
"title": "$:/language/Docs/PaletteColours/button-foreground",
"text": "Default button foreground"
},
"$:/language/Docs/PaletteColours/dirty-indicator": {
"title": "$:/language/Docs/PaletteColours/dirty-indicator",
"text": "Unsaved changes indicator"
},
"$:/language/Docs/PaletteColours/code-background": {
"title": "$:/language/Docs/PaletteColours/code-background",
"text": "Code background"
},
"$:/language/Docs/PaletteColours/code-border": {
"title": "$:/language/Docs/PaletteColours/code-border",
"text": "Code border"
},
"$:/language/Docs/PaletteColours/code-foreground": {
"title": "$:/language/Docs/PaletteColours/code-foreground",
"text": "Code foreground"
},
"$:/language/Docs/PaletteColours/download-background": {
"title": "$:/language/Docs/PaletteColours/download-background",
"text": "Download button background"
},
"$:/language/Docs/PaletteColours/download-foreground": {
"title": "$:/language/Docs/PaletteColours/download-foreground",
"text": "Download button foreground"
},
"$:/language/Docs/PaletteColours/dragger-background": {
"title": "$:/language/Docs/PaletteColours/dragger-background",
"text": "Dragger background"
},
"$:/language/Docs/PaletteColours/dragger-foreground": {
"title": "$:/language/Docs/PaletteColours/dragger-foreground",
"text": "Dragger foreground"
},
"$:/language/Docs/PaletteColours/dropdown-background": {
"title": "$:/language/Docs/PaletteColours/dropdown-background",
"text": "Dropdown background"
},
"$:/language/Docs/PaletteColours/dropdown-border": {
"title": "$:/language/Docs/PaletteColours/dropdown-border",
"text": "Dropdown border"
},
"$:/language/Docs/PaletteColours/dropdown-tab-background-selected": {
"title": "$:/language/Docs/PaletteColours/dropdown-tab-background-selected",
"text": "Dropdown tab background for selected tabs"
},
"$:/language/Docs/PaletteColours/dropdown-tab-background": {
"title": "$:/language/Docs/PaletteColours/dropdown-tab-background",
"text": "Dropdown tab background"
},
"$:/language/Docs/PaletteColours/dropzone-background": {
"title": "$:/language/Docs/PaletteColours/dropzone-background",
"text": "Dropzone background"
},
"$:/language/Docs/PaletteColours/external-link-background-hover": {
"title": "$:/language/Docs/PaletteColours/external-link-background-hover",
"text": "External link background hover"
},
"$:/language/Docs/PaletteColours/external-link-background-visited": {
"title": "$:/language/Docs/PaletteColours/external-link-background-visited",
"text": "External link background visited"
},
"$:/language/Docs/PaletteColours/external-link-background": {
"title": "$:/language/Docs/PaletteColours/external-link-background",
"text": "External link background"
},
"$:/language/Docs/PaletteColours/external-link-foreground-hover": {
"title": "$:/language/Docs/PaletteColours/external-link-foreground-hover",
"text": "External link foreground hover"
},
"$:/language/Docs/PaletteColours/external-link-foreground-visited": {
"title": "$:/language/Docs/PaletteColours/external-link-foreground-visited",
"text": "External link foreground visited"
},
"$:/language/Docs/PaletteColours/external-link-foreground": {
"title": "$:/language/Docs/PaletteColours/external-link-foreground",
"text": "External link foreground"
},
"$:/language/Docs/PaletteColours/foreground": {
"title": "$:/language/Docs/PaletteColours/foreground",
"text": "General foreground"
},
"$:/language/Docs/PaletteColours/menubar-background": {
"title": "$:/language/Docs/PaletteColours/menubar-background",
"text": "Menu bar background"
},
"$:/language/Docs/PaletteColours/menubar-foreground": {
"title": "$:/language/Docs/PaletteColours/menubar-foreground",
"text": "Menu bar foreground"
},
"$:/language/Docs/PaletteColours/message-background": {
"title": "$:/language/Docs/PaletteColours/message-background",
"text": "Message box background"
},
"$:/language/Docs/PaletteColours/message-border": {
"title": "$:/language/Docs/PaletteColours/message-border",
"text": "Message box border"
},
"$:/language/Docs/PaletteColours/message-foreground": {
"title": "$:/language/Docs/PaletteColours/message-foreground",
"text": "Message box foreground"
},
"$:/language/Docs/PaletteColours/modal-backdrop": {
"title": "$:/language/Docs/PaletteColours/modal-backdrop",
"text": "Modal backdrop"
},
"$:/language/Docs/PaletteColours/modal-background": {
"title": "$:/language/Docs/PaletteColours/modal-background",
"text": "Modal background"
},
"$:/language/Docs/PaletteColours/modal-border": {
"title": "$:/language/Docs/PaletteColours/modal-border",
"text": "Modal border"
},
"$:/language/Docs/PaletteColours/modal-footer-background": {
"title": "$:/language/Docs/PaletteColours/modal-footer-background",
"text": "Modal footer background"
},
"$:/language/Docs/PaletteColours/modal-footer-border": {
"title": "$:/language/Docs/PaletteColours/modal-footer-border",
"text": "Modal footer border"
},
"$:/language/Docs/PaletteColours/modal-header-border": {
"title": "$:/language/Docs/PaletteColours/modal-header-border",
"text": "Modal header border"
},
"$:/language/Docs/PaletteColours/muted-foreground": {
"title": "$:/language/Docs/PaletteColours/muted-foreground",
"text": "General muted foreground"
},
"$:/language/Docs/PaletteColours/notification-background": {
"title": "$:/language/Docs/PaletteColours/notification-background",
"text": "Notification background"
},
"$:/language/Docs/PaletteColours/notification-border": {
"title": "$:/language/Docs/PaletteColours/notification-border",
"text": "Notification border"
},
"$:/language/Docs/PaletteColours/page-background": {
"title": "$:/language/Docs/PaletteColours/page-background",
"text": "Page background"
},
"$:/language/Docs/PaletteColours/pre-background": {
"title": "$:/language/Docs/PaletteColours/pre-background",
"text": "Preformatted code background"
},
"$:/language/Docs/PaletteColours/pre-border": {
"title": "$:/language/Docs/PaletteColours/pre-border",
"text": "Preformatted code border"
},
"$:/language/Docs/PaletteColours/primary": {
"title": "$:/language/Docs/PaletteColours/primary",
"text": "General primary"
},
"$:/language/Docs/PaletteColours/select-tag-background": {
"title": "$:/language/Docs/PaletteColours/select-tag-background",
"text": "`<select>` element background"
},
"$:/language/Docs/PaletteColours/select-tag-foreground": {
"title": "$:/language/Docs/PaletteColours/select-tag-foreground",
"text": "`<select>` element text"
},
"$:/language/Docs/PaletteColours/sidebar-button-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-button-foreground",
"text": "Sidebar button foreground"
},
"$:/language/Docs/PaletteColours/sidebar-controls-foreground-hover": {
"title": "$:/language/Docs/PaletteColours/sidebar-controls-foreground-hover",
"text": "Sidebar controls foreground hover"
},
"$:/language/Docs/PaletteColours/sidebar-controls-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-controls-foreground",
"text": "Sidebar controls foreground"
},
"$:/language/Docs/PaletteColours/sidebar-foreground-shadow": {
"title": "$:/language/Docs/PaletteColours/sidebar-foreground-shadow",
"text": "Sidebar foreground shadow"
},
"$:/language/Docs/PaletteColours/sidebar-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-foreground",
"text": "Sidebar foreground"
},
"$:/language/Docs/PaletteColours/sidebar-muted-foreground-hover": {
"title": "$:/language/Docs/PaletteColours/sidebar-muted-foreground-hover",
"text": "Sidebar muted foreground hover"
},
"$:/language/Docs/PaletteColours/sidebar-muted-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-muted-foreground",
"text": "Sidebar muted foreground"
},
"$:/language/Docs/PaletteColours/sidebar-tab-background-selected": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-background-selected",
"text": "Sidebar tab background for selected tabs"
},
"$:/language/Docs/PaletteColours/sidebar-tab-background": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-background",
"text": "Sidebar tab background"
},
"$:/language/Docs/PaletteColours/sidebar-tab-border-selected": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-border-selected",
"text": "Sidebar tab border for selected tabs"
},
"$:/language/Docs/PaletteColours/sidebar-tab-border": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-border",
"text": "Sidebar tab border"
},
"$:/language/Docs/PaletteColours/sidebar-tab-divider": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-divider",
"text": "Sidebar tab divider"
},
"$:/language/Docs/PaletteColours/sidebar-tab-foreground-selected": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-foreground-selected",
"text": "Sidebar tab foreground for selected tabs"
},
"$:/language/Docs/PaletteColours/sidebar-tab-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-foreground",
"text": "Sidebar tab foreground"
},
"$:/language/Docs/PaletteColours/sidebar-tiddler-link-foreground-hover": {
"title": "$:/language/Docs/PaletteColours/sidebar-tiddler-link-foreground-hover",
"text": "Sidebar tiddler link foreground hover"
},
"$:/language/Docs/PaletteColours/sidebar-tiddler-link-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-tiddler-link-foreground",
"text": "Sidebar tiddler link foreground"
},
"$:/language/Docs/PaletteColours/site-title-foreground": {
"title": "$:/language/Docs/PaletteColours/site-title-foreground",
"text": "Site title foreground"
},
"$:/language/Docs/PaletteColours/static-alert-foreground": {
"title": "$:/language/Docs/PaletteColours/static-alert-foreground",
"text": "Static alert foreground"
},
"$:/language/Docs/PaletteColours/tab-background-selected": {
"title": "$:/language/Docs/PaletteColours/tab-background-selected",
"text": "Tab background for selected tabs"
},
"$:/language/Docs/PaletteColours/tab-background": {
"title": "$:/language/Docs/PaletteColours/tab-background",
"text": "Tab background"
},
"$:/language/Docs/PaletteColours/tab-border-selected": {
"title": "$:/language/Docs/PaletteColours/tab-border-selected",
"text": "Tab border for selected tabs"
},
"$:/language/Docs/PaletteColours/tab-border": {
"title": "$:/language/Docs/PaletteColours/tab-border",
"text": "Tab border"
},
"$:/language/Docs/PaletteColours/tab-divider": {
"title": "$:/language/Docs/PaletteColours/tab-divider",
"text": "Tab divider"
},
"$:/language/Docs/PaletteColours/tab-foreground-selected": {
"title": "$:/language/Docs/PaletteColours/tab-foreground-selected",
"text": "Tab foreground for selected tabs"
},
"$:/language/Docs/PaletteColours/tab-foreground": {
"title": "$:/language/Docs/PaletteColours/tab-foreground",
"text": "Tab foreground"
},
"$:/language/Docs/PaletteColours/table-border": {
"title": "$:/language/Docs/PaletteColours/table-border",
"text": "Table border"
},
"$:/language/Docs/PaletteColours/table-footer-background": {
"title": "$:/language/Docs/PaletteColours/table-footer-background",
"text": "Table footer background"
},
"$:/language/Docs/PaletteColours/table-header-background": {
"title": "$:/language/Docs/PaletteColours/table-header-background",
"text": "Table header background"
},
"$:/language/Docs/PaletteColours/tag-background": {
"title": "$:/language/Docs/PaletteColours/tag-background",
"text": "Tag background"
},
"$:/language/Docs/PaletteColours/tag-foreground": {
"title": "$:/language/Docs/PaletteColours/tag-foreground",
"text": "Tag foreground"
},
"$:/language/Docs/PaletteColours/tiddler-background": {
"title": "$:/language/Docs/PaletteColours/tiddler-background",
"text": "Tiddler background"
},
"$:/language/Docs/PaletteColours/tiddler-border": {
"title": "$:/language/Docs/PaletteColours/tiddler-border",
"text": "Tiddler border"
},
"$:/language/Docs/PaletteColours/tiddler-controls-foreground-hover": {
"title": "$:/language/Docs/PaletteColours/tiddler-controls-foreground-hover",
"text": "Tiddler controls foreground hover"
},
"$:/language/Docs/PaletteColours/tiddler-controls-foreground-selected": {
"title": "$:/language/Docs/PaletteColours/tiddler-controls-foreground-selected",
"text": "Tiddler controls foreground for selected controls"
},
"$:/language/Docs/PaletteColours/tiddler-controls-foreground": {
"title": "$:/language/Docs/PaletteColours/tiddler-controls-foreground",
"text": "Tiddler controls foreground"
},
"$:/language/Docs/PaletteColours/tiddler-editor-background": {
"title": "$:/language/Docs/PaletteColours/tiddler-editor-background",
"text": "Tiddler editor background"
},
"$:/language/Docs/PaletteColours/tiddler-editor-border-image": {
"title": "$:/language/Docs/PaletteColours/tiddler-editor-border-image",
"text": "Tiddler editor border image"
},
"$:/language/Docs/PaletteColours/tiddler-editor-border": {
"title": "$:/language/Docs/PaletteColours/tiddler-editor-border",
"text": "Tiddler editor border"
},
"$:/language/Docs/PaletteColours/tiddler-editor-fields-even": {
"title": "$:/language/Docs/PaletteColours/tiddler-editor-fields-even",
"text": "Tiddler editor background for even fields"
},
"$:/language/Docs/PaletteColours/tiddler-editor-fields-odd": {
"title": "$:/language/Docs/PaletteColours/tiddler-editor-fields-odd",
"text": "Tiddler editor background for odd fields"
},
"$:/language/Docs/PaletteColours/tiddler-info-background": {
"title": "$:/language/Docs/PaletteColours/tiddler-info-background",
"text": "Tiddler info panel background"
},
"$:/language/Docs/PaletteColours/tiddler-info-border": {
"title": "$:/language/Docs/PaletteColours/tiddler-info-border",
"text": "Tiddler info panel border"
},
"$:/language/Docs/PaletteColours/tiddler-info-tab-background": {
"title": "$:/language/Docs/PaletteColours/tiddler-info-tab-background",
"text": "Tiddler info panel tab background"
},
"$:/language/Docs/PaletteColours/tiddler-link-background": {
"title": "$:/language/Docs/PaletteColours/tiddler-link-background",
"text": "Tiddler link background"
},
"$:/language/Docs/PaletteColours/tiddler-link-foreground": {
"title": "$:/language/Docs/PaletteColours/tiddler-link-foreground",
"text": "Tiddler link foreground"
},
"$:/language/Docs/PaletteColours/tiddler-subtitle-foreground": {
"title": "$:/language/Docs/PaletteColours/tiddler-subtitle-foreground",
"text": "Tiddler subtitle foreground"
},
"$:/language/Docs/PaletteColours/tiddler-title-foreground": {
"title": "$:/language/Docs/PaletteColours/tiddler-title-foreground",
"text": "Tiddler title foreground"
},
"$:/language/Docs/PaletteColours/toolbar-new-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-new-button",
"text": "Toolbar 'new tiddler' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-options-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-options-button",
"text": "Toolbar 'options' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-save-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-save-button",
"text": "Toolbar 'save' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-info-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-info-button",
"text": "Toolbar 'info' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-edit-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-edit-button",
"text": "Toolbar 'edit' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-close-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-close-button",
"text": "Toolbar 'close' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-delete-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-delete-button",
"text": "Toolbar 'delete' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-cancel-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-cancel-button",
"text": "Toolbar 'cancel' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-done-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-done-button",
"text": "Toolbar 'done' button foreground"
},
"$:/language/Docs/PaletteColours/untagged-background": {
"title": "$:/language/Docs/PaletteColours/untagged-background",
"text": "Untagged pill background"
},
"$:/language/Docs/PaletteColours/very-muted-foreground": {
"title": "$:/language/Docs/PaletteColours/very-muted-foreground",
"text": "Very muted foreground"
},
"$:/language/EditTemplate/Body/External/Hint": {
"title": "$:/language/EditTemplate/Body/External/Hint",
"text": "This tiddler shows content stored outside of the main TiddlyWiki file. You can edit the tags and fields but cannot directly edit the content itself"
},
"$:/language/EditTemplate/Body/Placeholder": {
"title": "$:/language/EditTemplate/Body/Placeholder",
"text": "Type the text for this tiddler"
},
"$:/language/EditTemplate/Body/Preview/Type/Output": {
"title": "$:/language/EditTemplate/Body/Preview/Type/Output",
"text": "output"
},
"$:/language/EditTemplate/Field/Remove/Caption": {
"title": "$:/language/EditTemplate/Field/Remove/Caption",
"text": "remove field"
},
"$:/language/EditTemplate/Field/Remove/Hint": {
"title": "$:/language/EditTemplate/Field/Remove/Hint",
"text": "Remove field"
},
"$:/language/EditTemplate/Field/Dropdown/Caption": {
"title": "$:/language/EditTemplate/Field/Dropdown/Caption",
"text": "field list"
},
"$:/language/EditTemplate/Field/Dropdown/Hint": {
"title": "$:/language/EditTemplate/Field/Dropdown/Hint",
"text": "Show field list"
},
"$:/language/EditTemplate/Fields/Add/Button": {
"title": "$:/language/EditTemplate/Fields/Add/Button",
"text": "add"
},
"$:/language/EditTemplate/Fields/Add/Button/Hint": {
"title": "$:/language/EditTemplate/Fields/Add/Button/Hint",
"text": "Add the new field to the tiddler"
},
"$:/language/EditTemplate/Fields/Add/Name/Placeholder": {
"title": "$:/language/EditTemplate/Fields/Add/Name/Placeholder",
"text": "field name"
},
"$:/language/EditTemplate/Fields/Add/Prompt": {
"title": "$:/language/EditTemplate/Fields/Add/Prompt",
"text": "Add a new field:"
},
"$:/language/EditTemplate/Fields/Add/Value/Placeholder": {
"title": "$:/language/EditTemplate/Fields/Add/Value/Placeholder",
"text": "field value"
},
"$:/language/EditTemplate/Fields/Add/Dropdown/System": {
"title": "$:/language/EditTemplate/Fields/Add/Dropdown/System",
"text": "System fields"
},
"$:/language/EditTemplate/Fields/Add/Dropdown/User": {
"title": "$:/language/EditTemplate/Fields/Add/Dropdown/User",
"text": "User fields"
},
"$:/language/EditTemplate/Shadow/Warning": {
"title": "$:/language/EditTemplate/Shadow/Warning",
"text": "This is a shadow tiddler. Any changes you make will override the default version from the plugin <<pluginLink>>"
},
"$:/language/EditTemplate/Shadow/OverriddenWarning": {
"title": "$:/language/EditTemplate/Shadow/OverriddenWarning",
"text": "This is a modified shadow tiddler. You can revert to the default version in the plugin <<pluginLink>> by deleting this tiddler"
},
"$:/language/EditTemplate/Tags/Add/Button": {
"title": "$:/language/EditTemplate/Tags/Add/Button",
"text": "add"
},
"$:/language/EditTemplate/Tags/Add/Button/Hint": {
"title": "$:/language/EditTemplate/Tags/Add/Button/Hint",
"text": "add tag"
},
"$:/language/EditTemplate/Tags/Add/Placeholder": {
"title": "$:/language/EditTemplate/Tags/Add/Placeholder",
"text": "tag name"
},
"$:/language/EditTemplate/Tags/Dropdown/Caption": {
"title": "$:/language/EditTemplate/Tags/Dropdown/Caption",
"text": "tag list"
},
"$:/language/EditTemplate/Tags/Dropdown/Hint": {
"title": "$:/language/EditTemplate/Tags/Dropdown/Hint",
"text": "Show tag list"
},
"$:/language/EditTemplate/Title/BadCharacterWarning": {
"title": "$:/language/EditTemplate/Title/BadCharacterWarning",
"text": "Warning: avoid using any of the characters <<bad-chars>> in tiddler titles"
},
"$:/language/EditTemplate/Title/Exists/Prompt": {
"title": "$:/language/EditTemplate/Title/Exists/Prompt",
"text": "Target tiddler already exists"
},
"$:/language/EditTemplate/Title/Relink/Prompt": {
"title": "$:/language/EditTemplate/Title/Relink/Prompt",
"text": "Update ''<$text text=<<fromTitle>>/>'' to ''<$text text=<<toTitle>>/>'' in the //tags// and //list// fields of other tiddlers"
},
"$:/language/EditTemplate/Title/References/Prompt": {
"title": "$:/language/EditTemplate/Title/References/Prompt",
"text": "The following references to this tiddler will not be automatically updated:"
},
"$:/language/EditTemplate/Type/Dropdown/Caption": {
"title": "$:/language/EditTemplate/Type/Dropdown/Caption",
"text": "content type list"
},
"$:/language/EditTemplate/Type/Dropdown/Hint": {
"title": "$:/language/EditTemplate/Type/Dropdown/Hint",
"text": "Show content type list"
},
"$:/language/EditTemplate/Type/Delete/Caption": {
"title": "$:/language/EditTemplate/Type/Delete/Caption",
"text": "delete content type"
},
"$:/language/EditTemplate/Type/Delete/Hint": {
"title": "$:/language/EditTemplate/Type/Delete/Hint",
"text": "Delete content type"
},
"$:/language/EditTemplate/Type/Placeholder": {
"title": "$:/language/EditTemplate/Type/Placeholder",
"text": "content type"
},
"$:/language/EditTemplate/Type/Prompt": {
"title": "$:/language/EditTemplate/Type/Prompt",
"text": "Type:"
},
"$:/language/Exporters/StaticRiver": {
"title": "$:/language/Exporters/StaticRiver",
"text": "Static HTML"
},
"$:/language/Exporters/JsonFile": {
"title": "$:/language/Exporters/JsonFile",
"text": "JSON file"
},
"$:/language/Exporters/CsvFile": {
"title": "$:/language/Exporters/CsvFile",
"text": "CSV file"
},
"$:/language/Exporters/TidFile": {
"title": "$:/language/Exporters/TidFile",
"text": "\".tid\" file"
},
"$:/language/Docs/Fields/_canonical_uri": {
"title": "$:/language/Docs/Fields/_canonical_uri",
"text": "The full URI of an external image tiddler"
},
"$:/language/Docs/Fields/bag": {
"title": "$:/language/Docs/Fields/bag",
"text": "The name of the bag from which a tiddler came"
},
"$:/language/Docs/Fields/caption": {
"title": "$:/language/Docs/Fields/caption",
"text": "The text to be displayed on a tab or button"
},
"$:/language/Docs/Fields/color": {
"title": "$:/language/Docs/Fields/color",
"text": "The CSS color value associated with a tiddler"
},
"$:/language/Docs/Fields/component": {
"title": "$:/language/Docs/Fields/component",
"text": "The name of the component responsible for an [[alert tiddler|AlertMechanism]]"
},
"$:/language/Docs/Fields/current-tiddler": {
"title": "$:/language/Docs/Fields/current-tiddler",
"text": "Used to cache the top tiddler in a [[history list|HistoryMechanism]]"
},
"$:/language/Docs/Fields/created": {
"title": "$:/language/Docs/Fields/created",
"text": "The date a tiddler was created"
},
"$:/language/Docs/Fields/creator": {
"title": "$:/language/Docs/Fields/creator",
"text": "The name of the person who created a tiddler"
},
"$:/language/Docs/Fields/dependents": {
"title": "$:/language/Docs/Fields/dependents",
"text": "For a plugin, lists the dependent plugin titles"
},
"$:/language/Docs/Fields/description": {
"title": "$:/language/Docs/Fields/description",
"text": "The descriptive text for a plugin, or a modal dialogue"
},
"$:/language/Docs/Fields/draft.of": {
"title": "$:/language/Docs/Fields/draft.of",
"text": "For draft tiddlers, contains the title of the tiddler of which this is a draft"
},
"$:/language/Docs/Fields/draft.title": {
"title": "$:/language/Docs/Fields/draft.title",
"text": "For draft tiddlers, contains the proposed new title of the tiddler"
},
"$:/language/Docs/Fields/footer": {
"title": "$:/language/Docs/Fields/footer",
"text": "The footer text for a wizard"
},
"$:/language/Docs/Fields/hide-body": {
"title": "$:/language/Docs/Fields/hide-body",
"text": "The view template will hide bodies of tiddlers if set to: ''yes''"
},
"$:/language/Docs/Fields/icon": {
"title": "$:/language/Docs/Fields/icon",
"text": "The title of the tiddler containing the icon associated with a tiddler"
},
"$:/language/Docs/Fields/library": {
"title": "$:/language/Docs/Fields/library",
"text": "Indicates that a tiddler should be saved as a JavaScript library if set to: ''yes''"
},
"$:/language/Docs/Fields/list": {
"title": "$:/language/Docs/Fields/list",
"text": "An ordered list of tiddler titles associated with a tiddler"
},
"$:/language/Docs/Fields/list-before": {
"title": "$:/language/Docs/Fields/list-before",
"text": "If set, the title of a tiddler before which this tiddler should be added to the ordered list of tiddler titles, or at the start of the list if this field is present but empty"
},
"$:/language/Docs/Fields/list-after": {
"title": "$:/language/Docs/Fields/list-after",
"text": "If set, the title of the tiddler after which this tiddler should be added to the ordered list of tiddler titles, or at the end of the list if this field is present but empty"
},
"$:/language/Docs/Fields/modified": {
"title": "$:/language/Docs/Fields/modified",
"text": "The date and time at which a tiddler was last modified"
},
"$:/language/Docs/Fields/modifier": {
"title": "$:/language/Docs/Fields/modifier",
"text": "The tiddler title associated with the person who last modified a tiddler"
},
"$:/language/Docs/Fields/name": {
"title": "$:/language/Docs/Fields/name",
"text": "The human readable name associated with a plugin tiddler"
},
"$:/language/Docs/Fields/plugin-priority": {
"title": "$:/language/Docs/Fields/plugin-priority",
"text": "A numerical value indicating the priority of a plugin tiddler"
},
"$:/language/Docs/Fields/plugin-type": {
"title": "$:/language/Docs/Fields/plugin-type",
"text": "The type of plugin in a plugin tiddler"
},
"$:/language/Docs/Fields/revision": {
"title": "$:/language/Docs/Fields/revision",
"text": "The revision of the tiddler held at the server"
},
"$:/language/Docs/Fields/released": {
"title": "$:/language/Docs/Fields/released",
"text": "Date of a TiddlyWiki release"
},
"$:/language/Docs/Fields/source": {
"title": "$:/language/Docs/Fields/source",
"text": "The source URL associated with a tiddler"
},
"$:/language/Docs/Fields/subtitle": {
"title": "$:/language/Docs/Fields/subtitle",
"text": "The subtitle text for a wizard"
},
"$:/language/Docs/Fields/tags": {
"title": "$:/language/Docs/Fields/tags",
"text": "A list of tags associated with a tiddler"
},
"$:/language/Docs/Fields/text": {
"title": "$:/language/Docs/Fields/text",
"text": "The body text of a tiddler"
},
"$:/language/Docs/Fields/throttle.refresh": {
"title": "$:/language/Docs/Fields/throttle.refresh",
"text": "If present, throttles refreshes of this tiddler"
},
"$:/language/Docs/Fields/title": {
"title": "$:/language/Docs/Fields/title",
"text": "The unique name of a tiddler"
},
"$:/language/Docs/Fields/toc-link": {
"title": "$:/language/Docs/Fields/toc-link",
"text": "Suppresses the tiddler's link in a Table of Contents tree if set to: ''no''"
},
"$:/language/Docs/Fields/type": {
"title": "$:/language/Docs/Fields/type",
"text": "The content type of a tiddler"
},
"$:/language/Docs/Fields/version": {
"title": "$:/language/Docs/Fields/version",
"text": "Version information for a plugin"
},
"$:/language/Docs/Fields/_is_skinny": {
"title": "$:/language/Docs/Fields/_is_skinny",
"text": "If present, indicates that the tiddler text field must be loaded from the server"
},
"$:/language/Filters/AllTiddlers": {
"title": "$:/language/Filters/AllTiddlers",
"text": "All tiddlers except system tiddlers"
},
"$:/language/Filters/RecentSystemTiddlers": {
"title": "$:/language/Filters/RecentSystemTiddlers",
"text": "Recently modified tiddlers, including system tiddlers"
},
"$:/language/Filters/RecentTiddlers": {
"title": "$:/language/Filters/RecentTiddlers",
"text": "Recently modified tiddlers"
},
"$:/language/Filters/AllTags": {
"title": "$:/language/Filters/AllTags",
"text": "All tags except system tags"
},
"$:/language/Filters/Missing": {
"title": "$:/language/Filters/Missing",
"text": "Missing tiddlers"
},
"$:/language/Filters/Drafts": {
"title": "$:/language/Filters/Drafts",
"text": "Draft tiddlers"
},
"$:/language/Filters/Orphans": {
"title": "$:/language/Filters/Orphans",
"text": "Orphan tiddlers"
},
"$:/language/Filters/SystemTiddlers": {
"title": "$:/language/Filters/SystemTiddlers",
"text": "System tiddlers"
},
"$:/language/Filters/ShadowTiddlers": {
"title": "$:/language/Filters/ShadowTiddlers",
"text": "Shadow tiddlers"
},
"$:/language/Filters/OverriddenShadowTiddlers": {
"title": "$:/language/Filters/OverriddenShadowTiddlers",
"text": "Overridden shadow tiddlers"
},
"$:/language/Filters/SessionTiddlers": {
"title": "$:/language/Filters/SessionTiddlers",
"text": "Tiddlers modified since the wiki was loaded"
},
"$:/language/Filters/SystemTags": {
"title": "$:/language/Filters/SystemTags",
"text": "System tags"
},
"$:/language/Filters/StoryList": {
"title": "$:/language/Filters/StoryList",
"text": "Tiddlers in the story river, excluding <$text text=\"$:/AdvancedSearch\"/>"
},
"$:/language/Filters/TypedTiddlers": {
"title": "$:/language/Filters/TypedTiddlers",
"text": "Non wiki-text tiddlers"
},
"GettingStarted": {
"title": "GettingStarted",
"text": "\\define lingo-base() $:/language/ControlPanel/Basics/\nWelcome to ~TiddlyWiki and the ~TiddlyWiki community\n\nBefore you start storing important information in ~TiddlyWiki it is vital to make sure that you can reliably save changes. See https://tiddlywiki.com/#GettingStarted for details\n\n!! Set up this ~TiddlyWiki\n\n<div class=\"tc-control-panel\">\n\n|<$link to=\"$:/SiteTitle\"><<lingo Title/Prompt>></$link> |<$edit-text tiddler=\"$:/SiteTitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/SiteSubtitle\"><<lingo Subtitle/Prompt>></$link> |<$edit-text tiddler=\"$:/SiteSubtitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/DefaultTiddlers\"><<lingo DefaultTiddlers/Prompt>></$link> |<<lingo DefaultTiddlers/TopHint>><br> <$edit tag=\"textarea\" tiddler=\"$:/DefaultTiddlers\"/><br>//<<lingo DefaultTiddlers/BottomHint>>// |\n</div>\n\nSee the [[control panel|$:/ControlPanel]] for more options.\n"
},
"$:/language/Help/build": {
"title": "$:/language/Help/build",
"description": "Automatically run configured commands",
"text": "Build the specified build targets for the current wiki. If no build targets are specified then all available targets will be built.\n\n```\n--build <target> [<target> ...]\n```\n\nBuild targets are defined in the `tiddlywiki.info` file of a wiki folder.\n\n"
},
"$:/language/Help/clearpassword": {
"title": "$:/language/Help/clearpassword",
"description": "Clear a password for subsequent crypto operations",
"text": "Clear the password for subsequent crypto operations\n\n```\n--clearpassword\n```\n"
},
"$:/language/Help/default": {
"title": "$:/language/Help/default",
"text": "\\define commandTitle()\n$:/language/Help/$(command)$\n\\end\n```\nusage: tiddlywiki [<wikifolder>] [--<command> [<args>...]...]\n```\n\nAvailable commands:\n\n<ul>\n<$list filter=\"[commands[]sort[title]]\" variable=\"command\">\n<li><$link to=<<commandTitle>>><$macrocall $name=\"command\" $type=\"text/plain\" $output=\"text/plain\"/></$link>: <$transclude tiddler=<<commandTitle>> field=\"description\"/></li>\n</$list>\n</ul>\n\nTo get detailed help on a command:\n\n```\ntiddlywiki --help <command>\n```\n"
},
"$:/language/Help/deletetiddlers": {
"title": "$:/language/Help/deletetiddlers",
"description": "Deletes a group of tiddlers",
"text": "<<.from-version \"5.1.20\">> Deletes a group of tiddlers identified by a filter.\n\n```\n--deletetiddlers <filter>\n```\n"
},
"$:/language/Help/editions": {
"title": "$:/language/Help/editions",
"description": "Lists the available editions of TiddlyWiki",
"text": "Lists the names and descriptions of the available editions. You can create a new wiki of a specified edition with the `--init` command.\n\n```\n--editions\n```\n"
},
"$:/language/Help/fetch": {
"title": "$:/language/Help/fetch",
"description": "Fetch tiddlers from wiki by URL",
"text": "Fetch one or more files over HTTP/HTTPS, and import the tiddlers matching a filter, optionally transforming the incoming titles.\n\n```\n--fetch file <url> <import-filter> <transform-filter>\n--fetch files <url-filter> <import-filter> <transform-filter>\n--fetch raw-file <url> <transform-filter>\n--fetch raw-files <url-filter> <transform-filter>\n```\n\nThe \"file\" and \"files\" variants fetch the specified files and attempt to import the tiddlers within them (the same processing as if the files were dragged into the browser window). The \"raw-file\" and \"raw-files\" variants fetch the specified files and then store the raw file data in tiddlers, without applying the import logic.\n\nWith the \"file\" and \"raw-file\" variants only a single file is fetched and the first parameter is the URL of the file to read.\n\nWith the \"files\" and \"raw-files\" variants, multiple files are fetched and the first parameter is a filter yielding a list of URLs of the files to read. For example, given a set of tiddlers tagged \"remote-server\" that have a field \"url\" the filter `[tag[remote-server]get[url]]` will retrieve all the available URLs.\n\nFor the \"file\" and \"files\" variants, the `<import-filter>` parameter specifies a filter determining which tiddlers are imported. It defaults to `[all[tiddlers]]` if not provided.\n\nFor all variants, the `<transform-filter>` parameter specifies an optional filter that transforms the titles of the imported tiddlers. For example, `[addprefix[$:/myimports/]]` would add the prefix `$:/myimports/` to each title.\n\nPreceding the `--fetch` command with `--verbose` will output progress information during the import.\n\nNote that TiddlyWiki will not fetch an older version of an already loaded plugin.\n\nThe following example retrieves all the non-system tiddlers from https://tiddlywiki.com and saves them to a JSON file:\n\n```\ntiddlywiki --verbose --fetch file \"https://tiddlywiki.com/\" \"[!is[system]]\" \"\" --rendertiddler \"$:/core/templates/exporters/JsonFile\" output.json text/plain \"\" exportFilter \"[!is[system]]\"\n```\n\nThe following example retrieves the \"favicon\" file from tiddlywiki.com and saves it in a file called \"output.ico\". Note that the intermediate tiddler \"Icon Tiddler\" is quoted in the \"--fetch\" command because it is being used as a transformation filter to replace the default title, while there are no quotes for the \"--savetiddler\" command because it is being used directly as a title.\n\n```\ntiddlywiki --verbose --fetch raw-file \"https://tiddlywiki.com/favicon.ico\" \"[[Icon Tiddler]]\" --savetiddler \"Icon Tiddler\" output.ico\n```\n\n"
},
"$:/language/Help/help": {
"title": "$:/language/Help/help",
"description": "Display help for TiddlyWiki commands",
"text": "Displays help text for a command:\n\n```\n--help [<command>]\n```\n\nIf the command name is omitted then a list of available commands is displayed.\n"
},
"$:/language/Help/import": {
"title": "$:/language/Help/import",
"description": "Import tiddlers from a file",
"text": "Import tiddlers from TiddlyWiki (`.html`), `.tiddler`, `.tid`, `.json` or other local files. The deserializer must be explicitly specified, unlike the `load` command which infers the deserializer from the file extension.\n\n```\n--import <filepath> <deserializer> [<title>] [<encoding>]\n```\n\nThe deserializers in the core include:\n\n* application/javascript\n* application/json\n* application/x-tiddler\n* application/x-tiddler-html-div\n* application/x-tiddlers\n* text/html\n* text/plain\n\nThe title of the imported tiddler defaults to the filename.\n\nThe encoding defaults to \"utf8\", but can be \"base64\" for importing binary files.\n\nNote that TiddlyWiki will not import an older version of an already loaded plugin.\n"
},
"$:/language/Help/init": {
"title": "$:/language/Help/init",
"description": "Initialise a new wiki folder",
"text": "Initialise an empty [[WikiFolder|WikiFolders]] with a copy of the specified edition.\n\n```\n--init <edition> [<edition> ...]\n```\n\nFor example:\n\n```\ntiddlywiki ./MyWikiFolder --init empty\n```\n\nNote:\n\n* The wiki folder directory will be created if necessary\n* The \"edition\" defaults to ''empty''\n* The init command will fail if the wiki folder is not empty\n* The init command removes any `includeWikis` definitions in the edition's `tiddlywiki.info` file\n* When multiple editions are specified, editions initialised later will overwrite any files shared with earlier editions (so, the final `tiddlywiki.info` file will be copied from the last edition)\n* `--editions` returns a list of available editions\n"
},
"$:/language/Help/listen": {
"title": "$:/language/Help/listen",
"description": "Provides an HTTP server interface to TiddlyWiki",
"text": "Serves a wiki over HTTP.\n\nThe listen command uses NamedCommandParameters:\n\n```\n--listen [<name>=<value>]...\n```\n\nAll parameters are optional with safe defaults, and can be specified in any order. The recognised parameters are:\n\n* ''host'' - optional hostname to serve from (defaults to \"127.0.0.1\" aka \"localhost\")\n* ''path-prefix'' - optional prefix for paths\n* ''port'' - port number on which to listen; non-numeric values are interpreted as a system environment variable from which the port number is extracted (defaults to \"8080\")\n* ''credentials'' - pathname of credentials CSV file (relative to wiki folder)\n* ''anon-username'' - the username for signing edits for anonymous users\n* ''username'' - optional username for basic authentication\n* ''password'' - optional password for basic authentication\n* ''authenticated-user-header'' - optional name of header to be used for trusted authentication\n* ''readers'' - comma separated list of principals allowed to read from this wiki\n* ''writers'' - comma separated list of principals allowed to write to this wiki\n* ''csrf-disable'' - set to \"yes\" to disable CSRF checks (defaults to \"no\")\n* ''root-tiddler'' - the tiddler to serve at the root (defaults to \"$:/core/save/all\")\n* ''root-render-type'' - the content type to which the root tiddler should be rendered (defaults to \"text/plain\")\n* ''root-serve-type'' - the content type with which the root tiddler should be served (defaults to \"text/html\")\n* ''tls-cert'' - pathname of TLS certificate file (relative to wiki folder)\n* ''tls-key'' - pathname of TLS key file (relative to wiki folder)\n* ''debug-level'' - optional debug level; set to \"debug\" to view request details (defaults to \"none\")\n* ''gzip'' - set to \"yes\" to enable gzip compression for some http endpoints (defaults to \"no\")\n\nFor information on opening up your instance to the entire local network, and possible security concerns, see the WebServer tiddler at TiddlyWiki.com.\n\n"
},
"$:/language/Help/load": {
"title": "$:/language/Help/load",
"description": "Load tiddlers from a file",
"text": "Load tiddlers from TiddlyWiki (`.html`), `.tiddler`, `.tid`, `.json` or other local files. The processing applied to incoming files is determined by the file extension. Use the alternative `import` command if you need to specify the deserializer and encoding explicitly.\n\n```\n--load <filepath> [noerror]\n--load <dirpath> [noerror]\n```\n\nBy default, the load command raises an error if no tiddlers are found. The error can be suppressed by providing the optional \"noerror\" parameter.\n\nTo load tiddlers from an encrypted TiddlyWiki file you should first specify the password with the PasswordCommand. For example:\n\n```\ntiddlywiki ./MyWiki --password pa55w0rd --load my_encrypted_wiki.html\n```\n\nNote that TiddlyWiki will not load an older version of an already loaded plugin.\n"
},
"$:/language/Help/makelibrary": {
"title": "$:/language/Help/makelibrary",
"description": "Construct library plugin required by upgrade process",
"text": "Constructs the `$:/UpgradeLibrary` tiddler for the upgrade process.\n\nThe upgrade library is formatted as an ordinary plugin tiddler with the plugin type `library`. It contains a copy of each of the plugins, themes and language packs available within the TiddlyWiki5 repository.\n\nThis command is intended for internal use; it is only relevant to users constructing a custom upgrade procedure.\n\n```\n--makelibrary <title>\n```\n\nThe title argument defaults to `$:/UpgradeLibrary`.\n"
},
"$:/language/Help/notfound": {
"title": "$:/language/Help/notfound",
"text": "No such help item"
},
"$:/language/Help/output": {
"title": "$:/language/Help/output",
"description": "Set the base output directory for subsequent commands",
"text": "Sets the base output directory for subsequent commands. The default output directory is the `output` subdirectory of the edition directory.\n\n```\n--output <pathname>\n```\n\nIf the specified pathname is relative then it is resolved relative to the current working directory. For example `--output .` sets the output directory to the current working directory.\n\n"
},
"$:/language/Help/password": {
"title": "$:/language/Help/password",
"description": "Set a password for subsequent crypto operations",
"text": "Set a password for subsequent crypto operations\n\n```\n--password <password>\n```\n\n''Note'': This should not be used for serving TiddlyWiki with password protection. Instead, see the password option under the [[ServerCommand]].\n"
},
"$:/language/Help/render": {
"title": "$:/language/Help/render",
"description": "Renders individual tiddlers to files",
"text": "Render individual tiddlers identified by a filter and save the results to the specified files.\n\nOptionally, the title of a template tiddler can be specified. In this case, instead of directly rendering each tiddler, the template tiddler is rendered with the \"currentTiddler\" variable set to the title of the tiddler that is being rendered.\n\nA name and value for an additional variable may optionally also be specified.\n\n```\n--render <tiddler-filter> [<filename-filter>] [<render-type>] [<template>] [<name>] [<value>]\n```\n\n* ''tiddler-filter'': A filter identifying the tiddler(s) to be rendered\n* ''filename-filter'': Optional filter transforming tiddler titles into pathnames. If omitted, defaults to `[is[tiddler]addsuffix[.html]]`, which uses the unchanged tiddler title as the filename\n* ''render-type'': Optional render type: `text/html` (the default) returns the full HTML text and `text/plain` just returns the text content (ie it ignores HTML tags and other unprintable material)\n* ''template'': Optional template through which each tiddler is rendered\n* ''name'': Name of optional variable\n* ''value'': Value of optional variable\n\nBy default, the filename is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nNotes:\n\n* The output directory is not cleared of any existing files\n* Any missing directories in the path to the filename are automatically created.\n* When referring to a tiddler with spaces in its title, take care to use both the quotes required by your shell and also TiddlyWiki's double square brackets : `--render \"[[Motovun Jack.jpg]]\"`\n* The filename filter is evaluated with the selected items being set to the title of the tiddler currently being rendered, allowing the title to be used as the basis for computing the filename. For example `[encodeuricomponent[]addprefix[static/]]` applies URI encoding to each title, and then adds the prefix `static/`\n* The `--render` command is a more flexible replacement for both the `--rendertiddler` and `--rendertiddlers` commands, which are deprecated\n\nExamples:\n\n* `--render \"[!is[system]]\" \"[encodeuricomponent[]addprefix[tiddlers/]addsuffix[.html]]\"` -- renders all non-system tiddlers as files in the subdirectory \"tiddlers\" with URL-encoded titles and the extension HTML\n\n"
},
"$:/language/Help/rendertiddler": {
"title": "$:/language/Help/rendertiddler",
"description": "Render an individual tiddler as a specified ContentType",
"text": "(Note: The `--rendertiddler` command is deprecated in favour of the new, more flexible `--render` command)\n\nRender an individual tiddler as a specified ContentType, defaulting to `text/html` and save it to the specified filename.\n\nOptionally the title of a template tiddler can be specified, in which case the template tiddler is rendered with the \"currentTiddler\" variable set to the tiddler that is being rendered (the first parameter value).\n\nA name and value for an additional variable may optionally also be specified.\n\n```\n--rendertiddler <title> <filename> [<type>] [<template>] [<name>] [<value>]\n```\n\nBy default, the filename is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nAny missing directories in the path to the filename are automatically created.\n\nFor example, the following command saves all tiddlers matching the filter `[tag[done]]` to a JSON file titled `output.json` by employing the core template `$:/core/templates/exporters/JsonFile`.\n\n```\n--rendertiddler \"$:/core/templates/exporters/JsonFile\" output.json text/plain \"\" exportFilter \"[tag[done]]\"\n```\n"
},
"$:/language/Help/rendertiddlers": {
"title": "$:/language/Help/rendertiddlers",
"description": "Render tiddlers matching a filter to a specified ContentType",
"text": "(Note: The `--rendertiddlers` command is deprecated in favour of the new, more flexible `--render` command)\n\nRender a set of tiddlers matching a filter to separate files of a specified ContentType (defaults to `text/html`) and extension (defaults to `.html`).\n\n```\n--rendertiddlers <filter> <template> <pathname> [<type>] [<extension>] [\"noclean\"]\n```\n\nFor example:\n\n```\n--rendertiddlers [!is[system]] $:/core/templates/static.tiddler.html ./static text/plain\n```\n\nBy default, the pathname is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nAny files in the target directory are deleted unless the ''noclean'' flag is specified. The target directory is recursively created if it is missing.\n"
},
"$:/language/Help/save": {
"title": "$:/language/Help/save",
"description": "Saves individual raw tiddlers to files",
"text": "Saves individual tiddlers identified by a filter in their raw text or binary format to the specified files.\n\n```\n--save <tiddler-filter> <filename-filter>\n```\n\n* ''tiddler-filter'': A filter identifying the tiddler(s) to be saved\n* ''filename-filter'': Optional filter transforming tiddler titles into pathnames. If omitted, defaults to `[is[tiddler]]`, which uses the unchanged tiddler title as the filename\n\nBy default, the filename is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nNotes:\n\n* The output directory is not cleared of any existing files\n* Any missing directories in the path to the filename are automatically created.\n* When saving a tiddler with spaces in its title, take care to use both the quotes required by your shell and also TiddlyWiki's double square brackets : `--save \"[[Motovun Jack.jpg]]\"`\n* The filename filter is evaluated with the selected items being set to the title of the tiddler currently being saved, allowing the title to be used as the basis for computing the filename. For example `[encodeuricomponent[]addprefix[static/]]` applies URI encoding to each title, and then adds the prefix `static/`\n* The `--save` command is a more flexible replacement for both the `--savetiddler` and `--savetiddlers` commands, which are deprecated\n\nExamples:\n\n* `--save \"[!is[system]is[image]]\" \"[encodeuricomponent[]addprefix[tiddlers/]]\"` -- saves all non-system image tiddlers as files in the subdirectory \"tiddlers\" with URL-encoded titles\n"
},
"$:/language/Help/savetiddler": {
"title": "$:/language/Help/savetiddler",
"description": "Saves a raw tiddler to a file",
"text": "(Note: The `--savetiddler` command is deprecated in favour of the new, more flexible `--save` command)\n\nSaves an individual tiddler in its raw text or binary format to the specified filename.\n\n```\n--savetiddler <title> <filename>\n```\n\nBy default, the filename is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nAny missing directories in the path to the filename are automatically created.\n"
},
"$:/language/Help/savetiddlers": {
"title": "$:/language/Help/savetiddlers",
"description": "Saves a group of raw tiddlers to a directory",
"text": "(Note: The `--savetiddlers` command is deprecated in favour of the new, more flexible `--save` command)\n\nSaves a group of tiddlers in their raw text or binary format to the specified directory.\n\n```\n--savetiddlers <filter> <pathname> [\"noclean\"]\n```\n\nBy default, the pathname is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nThe output directory is cleared of existing files before saving the specified files. The deletion can be disabled by specifying the ''noclean'' flag.\n\nAny missing directories in the pathname are automatically created.\n"
},
"$:/language/Help/savewikifolder": {
"title": "$:/language/Help/savewikifolder",
"description": "Saves a wiki to a new wiki folder",
"text": "<<.from-version \"5.1.20\">> Saves the current wiki as a wiki folder, including tiddlers, plugins and configuration:\n\n```\n--savewikifolder <wikifolderpath> [<filter>]\n```\n\n* The target wiki folder must be empty or non-existent\n* The filter specifies which tiddlers should be included. It is optional, defaulting to `[all[tiddlers]]`\n* Plugins from the official plugin library are replaced with references to those plugins in the `tiddlywiki.info` file\n* Custom plugins are unpacked into their own folder\n\nA common usage is to convert a TiddlyWiki HTML file into a wiki folder:\n\n```\ntiddlywiki --load ./mywiki.html --savewikifolder ./mywikifolder\n```\n"
},
"$:/language/Help/server": {
"title": "$:/language/Help/server",
"description": "Provides an HTTP server interface to TiddlyWiki (deprecated in favour of the new listen command)",
"text": "Legacy command to serve a wiki over HTTP.\n\n```\n--server <port> <root-tiddler> <root-render-type> <root-serve-type> <username> <password> <host> <path-prefix> <debug-level>\n```\n\nThe parameters are:\n\n* ''port'' - port number on which to listen; non-numeric values are interpreted as a system environment variable from which the port number is extracted (defaults to \"8080\")\n* ''root-tiddler'' - the tiddler to serve at the root (defaults to \"$:/core/save/all\")\n* ''root-render-type'' - the content type to which the root tiddler should be rendered (defaults to \"text/plain\")\n* ''root-serve-type'' - the content type with which the root tiddler should be served (defaults to \"text/html\")\n* ''username'' - the default username for signing edits\n* ''password'' - optional password for basic authentication\n* ''host'' - optional hostname to serve from (defaults to \"127.0.0.1\" aka \"localhost\")\n* ''path-prefix'' - optional prefix for paths\n* ''debug-level'' - optional debug level; set to \"debug\" to view request details (defaults to \"none\")\n\nIf the password parameter is specified then the browser will prompt the user for the username and password. Note that the password is transmitted in plain text so this implementation should only be used on a trusted network or over HTTPS.\n\nFor example:\n\n```\n--server 8080 $:/core/save/all text/plain text/html MyUserName passw0rd\n```\n\nThe username and password can be specified as empty strings if you need to set the hostname or pathprefix and don't want to require a password.\n\n\n```\n--server 8080 $:/core/save/all text/plain text/html \"\" \"\" 192.168.0.245\n```\n\nUsing an address like this exposes your system to the local network. For information on opening up your instance to the entire local network, and possible security concerns, see the WebServer tiddler at TiddlyWiki.com.\n\nTo run multiple TiddlyWiki servers at the same time you'll need to put each one on a different port. It can be useful to use an environment variable to pass the port number to the Node.js process. This example references an environment variable called \"MY_PORT_NUMBER\":\n\n```\n--server MY_PORT_NUMBER $:/core/save/all text/plain text/html MyUserName passw0rd\n```\n"
},
"$:/language/Help/setfield": {
"title": "$:/language/Help/setfield",
"description": "Prepares external tiddlers for use",
"text": "//Note that this command is experimental and may change or be replaced before being finalised//\n\nSets the specified field of a group of tiddlers to the result of wikifying a template tiddler with the `currentTiddler` variable set to the tiddler.\n\n```\n--setfield <filter> <fieldname> <templatetitle> <rendertype>\n```\n\nThe parameters are:\n\n* ''filter'' - filter identifying the tiddlers to be affected\n* ''fieldname'' - the field to modify (defaults to \"text\")\n* ''templatetitle'' - the tiddler to wikify into the specified field. If blank or missing then the specified field is deleted\n* ''rendertype'' - the text type to render (defaults to \"text/plain\"; \"text/html\" can be used to include HTML tags)\n"
},
"$:/language/Help/unpackplugin": {
"title": "$:/language/Help/unpackplugin",
"description": "Unpack the payload tiddlers from a plugin",
"text": "Extract the payload tiddlers from a plugin, creating them as ordinary tiddlers:\n\n```\n--unpackplugin <title>\n```\n"
},
"$:/language/Help/verbose": {
"title": "$:/language/Help/verbose",
"description": "Triggers verbose output mode",
"text": "Triggers verbose output, useful for debugging\n\n```\n--verbose\n```\n"
},
"$:/language/Help/version": {
"title": "$:/language/Help/version",
"description": "Displays the version number of TiddlyWiki",
"text": "Displays the version number of TiddlyWiki.\n\n```\n--version\n```\n"
},
"$:/language/Import/Imported/Hint": {
"title": "$:/language/Import/Imported/Hint",
"text": "The following tiddlers were imported:"
},
"$:/language/Import/Listing/Cancel/Caption": {
"title": "$:/language/Import/Listing/Cancel/Caption",
"text": "Cancel"
},
"$:/language/Import/Listing/Hint": {
"title": "$:/language/Import/Listing/Hint",
"text": "These tiddlers are ready to import:"
},
"$:/language/Import/Listing/Import/Caption": {
"title": "$:/language/Import/Listing/Import/Caption",
"text": "Import"
},
"$:/language/Import/Listing/Select/Caption": {
"title": "$:/language/Import/Listing/Select/Caption",
"text": "Select"
},
"$:/language/Import/Listing/Status/Caption": {
"title": "$:/language/Import/Listing/Status/Caption",
"text": "Status"
},
"$:/language/Import/Listing/Title/Caption": {
"title": "$:/language/Import/Listing/Title/Caption",
"text": "Title"
},
"$:/language/Import/Listing/Preview": {
"title": "$:/language/Import/Listing/Preview",
"text": "Preview:"
},
"$:/language/Import/Listing/Preview/Text": {
"title": "$:/language/Import/Listing/Preview/Text",
"text": "Text"
},
"$:/language/Import/Listing/Preview/TextRaw": {
"title": "$:/language/Import/Listing/Preview/TextRaw",
"text": "Text (Raw)"
},
"$:/language/Import/Listing/Preview/Fields": {
"title": "$:/language/Import/Listing/Preview/Fields",
"text": "Fields"
},
"$:/language/Import/Listing/Preview/Diff": {
"title": "$:/language/Import/Listing/Preview/Diff",
"text": "Diff"
},
"$:/language/Import/Listing/Preview/DiffFields": {
"title": "$:/language/Import/Listing/Preview/DiffFields",
"text": "Diff (Fields)"
},
"$:/language/Import/Upgrader/Plugins/Suppressed/Incompatible": {
"title": "$:/language/Import/Upgrader/Plugins/Suppressed/Incompatible",
"text": "Blocked incompatible or obsolete plugin"
},
"$:/language/Import/Upgrader/Plugins/Suppressed/Version": {
"title": "$:/language/Import/Upgrader/Plugins/Suppressed/Version",
"text": "Blocked plugin (due to incoming <<incoming>> being older than existing <<existing>>)"
},
"$:/language/Import/Upgrader/Plugins/Upgraded": {
"title": "$:/language/Import/Upgrader/Plugins/Upgraded",
"text": "Upgraded plugin from <<incoming>> to <<upgraded>>"
},
"$:/language/Import/Upgrader/State/Suppressed": {
"title": "$:/language/Import/Upgrader/State/Suppressed",
"text": "Blocked temporary state tiddler"
},
"$:/language/Import/Upgrader/System/Suppressed": {
"title": "$:/language/Import/Upgrader/System/Suppressed",
"text": "Blocked system tiddler"
},
"$:/language/Import/Upgrader/System/Warning": {
"title": "$:/language/Import/Upgrader/System/Warning",
"text": "Core module tiddler"
},
"$:/language/Import/Upgrader/System/Alert": {
"title": "$:/language/Import/Upgrader/System/Alert",
"text": "You are about to import a tiddler that will overwrite a core module tiddler. This is not recommended as it may make the system unstable"
},
"$:/language/Import/Upgrader/ThemeTweaks/Created": {
"title": "$:/language/Import/Upgrader/ThemeTweaks/Created",
"text": "Migrated theme tweak from <$text text=<<from>>/>"
},
"$:/language/AboveStory/ClassicPlugin/Warning": {
"title": "$:/language/AboveStory/ClassicPlugin/Warning",
"text": "It looks like you are trying to load a plugin designed for ~TiddlyWiki Classic. Please note that [[these plugins do not work with TiddlyWiki version 5.x.x|https://tiddlywiki.com/#TiddlyWikiClassic]]. ~TiddlyWiki Classic plugins detected:"
},
"$:/language/BinaryWarning/Prompt": {
"title": "$:/language/BinaryWarning/Prompt",
"text": "This tiddler contains binary data"
},
"$:/language/ClassicWarning/Hint": {
"title": "$:/language/ClassicWarning/Hint",
"text": "This tiddler is written in TiddlyWiki Classic wiki text format, which is not fully compatible with TiddlyWiki version 5. See https://tiddlywiki.com/static/Upgrading.html for more details."
},
"$:/language/ClassicWarning/Upgrade/Caption": {
"title": "$:/language/ClassicWarning/Upgrade/Caption",
"text": "upgrade"
},
"$:/language/CloseAll/Button": {
"title": "$:/language/CloseAll/Button",
"text": "close all"
},
"$:/language/ColourPicker/Recent": {
"title": "$:/language/ColourPicker/Recent",
"text": "Recent:"
},
"$:/language/ConfirmCancelTiddler": {
"title": "$:/language/ConfirmCancelTiddler",
"text": "Do you wish to discard changes to the tiddler \"<$text text=<<title>>/>\"?"
},
"$:/language/ConfirmDeleteTiddler": {
"title": "$:/language/ConfirmDeleteTiddler",
"text": "Do you wish to delete the tiddler \"<$text text=<<title>>/>\"?"
},
"$:/language/ConfirmOverwriteTiddler": {
"title": "$:/language/ConfirmOverwriteTiddler",
"text": "Do you wish to overwrite the tiddler \"<$text text=<<title>>/>\"?"
},
"$:/language/ConfirmEditShadowTiddler": {
"title": "$:/language/ConfirmEditShadowTiddler",
"text": "You are about to edit a ShadowTiddler. Any changes will override the default system making future upgrades non-trivial. Are you sure you want to edit \"<$text text=<<title>>/>\"?"
},
"$:/language/Count": {
"title": "$:/language/Count",
"text": "count"
},
"$:/language/DefaultNewTiddlerTitle": {
"title": "$:/language/DefaultNewTiddlerTitle",
"text": "New Tiddler"
},
"$:/language/Diffs/CountMessage": {
"title": "$:/language/Diffs/CountMessage",
"text": "<<diff-count>> differences"
},
"$:/language/DropMessage": {
"title": "$:/language/DropMessage",
"text": "Drop here (or use the 'Escape' key to cancel)"
},
"$:/language/Encryption/Cancel": {
"title": "$:/language/Encryption/Cancel",
"text": "Cancel"
},
"$:/language/Encryption/ConfirmClearPassword": {
"title": "$:/language/Encryption/ConfirmClearPassword",
"text": "Do you wish to clear the password? This will remove the encryption applied when saving this wiki"
},
"$:/language/Encryption/PromptSetPassword": {
"title": "$:/language/Encryption/PromptSetPassword",
"text": "Set a new password for this TiddlyWiki"
},
"$:/language/Encryption/Username": {
"title": "$:/language/Encryption/Username",
"text": "Username"
},
"$:/language/Encryption/Password": {
"title": "$:/language/Encryption/Password",
"text": "Password"
},
"$:/language/Encryption/RepeatPassword": {
"title": "$:/language/Encryption/RepeatPassword",
"text": "Repeat password"
},
"$:/language/Encryption/PasswordNoMatch": {
"title": "$:/language/Encryption/PasswordNoMatch",
"text": "Passwords do not match"
},
"$:/language/Encryption/SetPassword": {
"title": "$:/language/Encryption/SetPassword",
"text": "Set password"
},
"$:/language/Error/Caption": {
"title": "$:/language/Error/Caption",
"text": "Error"
},
"$:/language/Error/EditConflict": {
"title": "$:/language/Error/EditConflict",
"text": "File changed on server"
},
"$:/language/Error/Filter": {
"title": "$:/language/Error/Filter",
"text": "Filter error"
},
"$:/language/Error/FilterSyntax": {
"title": "$:/language/Error/FilterSyntax",
"text": "Syntax error in filter expression"
},
"$:/language/Error/IsFilterOperator": {
"title": "$:/language/Error/IsFilterOperator",
"text": "Filter Error: Unknown operand for the 'is' filter operator"
},
"$:/language/Error/LoadingPluginLibrary": {
"title": "$:/language/Error/LoadingPluginLibrary",
"text": "Error loading plugin library"
},
"$:/language/Error/NetworkErrorAlert": {
"title": "$:/language/Error/NetworkErrorAlert",
"text": "`<h2>''Network Error''</h2>It looks like the connection to the server has been lost. This may indicate a problem with your network connection. Please attempt to restore network connectivity before continuing.<br><br>''Any unsaved changes will be automatically synchronised when connectivity is restored''.`"
},
"$:/language/Error/RecursiveTransclusion": {
"title": "$:/language/Error/RecursiveTransclusion",
"text": "Recursive transclusion error in transclude widget"
},
"$:/language/Error/RetrievingSkinny": {
"title": "$:/language/Error/RetrievingSkinny",
"text": "Error retrieving skinny tiddler list"
},
"$:/language/Error/SavingToTWEdit": {
"title": "$:/language/Error/SavingToTWEdit",
"text": "Error saving to TWEdit"
},
"$:/language/Error/WhileSaving": {
"title": "$:/language/Error/WhileSaving",
"text": "Error while saving"
},
"$:/language/Error/XMLHttpRequest": {
"title": "$:/language/Error/XMLHttpRequest",
"text": "XMLHttpRequest error code"
},
"$:/language/InternalJavaScriptError/Title": {
"title": "$:/language/InternalJavaScriptError/Title",
"text": "Internal JavaScript Error"
},
"$:/language/InternalJavaScriptError/Hint": {
"title": "$:/language/InternalJavaScriptError/Hint",
"text": "Well, this is embarrassing. It is recommended that you restart TiddlyWiki by refreshing your browser"
},
"$:/language/InvalidFieldName": {
"title": "$:/language/InvalidFieldName",
"text": "Illegal characters in field name \"<$text text=<<fieldName>>/>\". Fields can only contain lowercase letters, digits and the characters underscore (`_`), hyphen (`-`) and period (`.`)"
},
"$:/language/LazyLoadingWarning": {
"title": "$:/language/LazyLoadingWarning",
"text": "<p>Trying to load external content from ''<$text text={{!!_canonical_uri}}/>''</p><p>If this message doesn't disappear, either the tiddler content type doesn't match the type of the external content, or you may be using a browser that doesn't support external content for wikis loaded as standalone files. See https://tiddlywiki.com/#ExternalText</p>"
},
"$:/language/LoginToTiddlySpace": {
"title": "$:/language/LoginToTiddlySpace",
"text": "Login to TiddlySpace"
},
"$:/language/Manager/Controls/FilterByTag/None": {
"title": "$:/language/Manager/Controls/FilterByTag/None",
"text": "(none)"
},
"$:/language/Manager/Controls/FilterByTag/Prompt": {
"title": "$:/language/Manager/Controls/FilterByTag/Prompt",
"text": "Filter by tag:"
},
"$:/language/Manager/Controls/Order/Prompt": {
"title": "$:/language/Manager/Controls/Order/Prompt",
"text": "Reverse order"
},
"$:/language/Manager/Controls/Search/Placeholder": {
"title": "$:/language/Manager/Controls/Search/Placeholder",
"text": "Search"
},
"$:/language/Manager/Controls/Search/Prompt": {
"title": "$:/language/Manager/Controls/Search/Prompt",
"text": "Search:"
},
"$:/language/Manager/Controls/Show/Option/Tags": {
"title": "$:/language/Manager/Controls/Show/Option/Tags",
"text": "tags"
},
"$:/language/Manager/Controls/Show/Option/Tiddlers": {
"title": "$:/language/Manager/Controls/Show/Option/Tiddlers",
"text": "tiddlers"
},
"$:/language/Manager/Controls/Show/Prompt": {
"title": "$:/language/Manager/Controls/Show/Prompt",
"text": "Show:"
},
"$:/language/Manager/Controls/Sort/Prompt": {
"title": "$:/language/Manager/Controls/Sort/Prompt",
"text": "Sort by:"
},
"$:/language/Manager/Item/Colour": {
"title": "$:/language/Manager/Item/Colour",
"text": "Colour"
},
"$:/language/Manager/Item/Fields": {
"title": "$:/language/Manager/Item/Fields",
"text": "Fields"
},
"$:/language/Manager/Item/Icon/None": {
"title": "$:/language/Manager/Item/Icon/None",
"text": "(none)"
},
"$:/language/Manager/Item/Icon": {
"title": "$:/language/Manager/Item/Icon",
"text": "Icon"
},
"$:/language/Manager/Item/RawText": {
"title": "$:/language/Manager/Item/RawText",
"text": "Raw text"
},
"$:/language/Manager/Item/Tags": {
"title": "$:/language/Manager/Item/Tags",
"text": "Tags"
},
"$:/language/Manager/Item/Tools": {
"title": "$:/language/Manager/Item/Tools",
"text": "Tools"
},
"$:/language/Manager/Item/WikifiedText": {
"title": "$:/language/Manager/Item/WikifiedText",
"text": "Wikified text"
},
"$:/language/MissingTiddler/Hint": {
"title": "$:/language/MissingTiddler/Hint",
"text": "Missing tiddler \"<$text text=<<currentTiddler>>/>\" -- click {{||$:/core/ui/Buttons/edit}} to create"
},
"$:/language/No": {
"title": "$:/language/No",
"text": "No"
},
"$:/language/OfficialPluginLibrary": {
"title": "$:/language/OfficialPluginLibrary",
"text": "Official ~TiddlyWiki Plugin Library"
},
"$:/language/OfficialPluginLibrary/Hint": {
"title": "$:/language/OfficialPluginLibrary/Hint",
"text": "The official ~TiddlyWiki plugin library at tiddlywiki.com. Plugins, themes and language packs are maintained by the core team."
},
"$:/language/PluginReloadWarning": {
"title": "$:/language/PluginReloadWarning",
"text": "Please save {{$:/core/ui/Buttons/save-wiki}} and reload {{$:/core/ui/Buttons/refresh}} to allow changes to ~JavaScript plugins to take effect"
},
"$:/language/RecentChanges/DateFormat": {
"title": "$:/language/RecentChanges/DateFormat",
"text": "DDth MMM YYYY"
},
"$:/language/SystemTiddler/Tooltip": {
"title": "$:/language/SystemTiddler/Tooltip",
"text": "This is a system tiddler"
},
"$:/language/SystemTiddlers/Include/Prompt": {
"title": "$:/language/SystemTiddlers/Include/Prompt",
"text": "Include system tiddlers"
},
"$:/language/TagManager/Colour/Heading": {
"title": "$:/language/TagManager/Colour/Heading",
"text": "Colour"
},
"$:/language/TagManager/Count/Heading": {
"title": "$:/language/TagManager/Count/Heading",
"text": "Count"
},
"$:/language/TagManager/Icon/Heading": {
"title": "$:/language/TagManager/Icon/Heading",
"text": "Icon"
},
"$:/language/TagManager/Icons/None": {
"title": "$:/language/TagManager/Icons/None",
"text": "None"
},
"$:/language/TagManager/Info/Heading": {
"title": "$:/language/TagManager/Info/Heading",
"text": "Info"
},
"$:/language/TagManager/Tag/Heading": {
"title": "$:/language/TagManager/Tag/Heading",
"text": "Tag"
},
"$:/language/Tiddler/DateFormat": {
"title": "$:/language/Tiddler/DateFormat",
"text": "DDth MMM YYYY at hh12:0mmam"
},
"$:/language/UnsavedChangesWarning": {
"title": "$:/language/UnsavedChangesWarning",
"text": "You have unsaved changes in TiddlyWiki"
},
"$:/language/Yes": {
"title": "$:/language/Yes",
"text": "Yes"
},
"$:/language/Modals/Download": {
"title": "$:/language/Modals/Download",
"subtitle": "Download changes",
"footer": "<$button message=\"tm-close-tiddler\">Close</$button>",
"help": "https://tiddlywiki.com/static/DownloadingChanges.html",
"text": "Your browser only supports manual saving.\n\nTo save your modified wiki, right click on the download link below and select \"Download file\" or \"Save file\", and then choose the folder and filename.\n\n//You can marginally speed things up by clicking the link with the control key (Windows) or the options/alt key (Mac OS X). You will not be prompted for the folder or filename, but your browser is likely to give it an unrecognisable name -- you may need to rename the file to include an `.html` extension before you can do anything useful with it.//\n\nOn smartphones that do not allow files to be downloaded you can instead bookmark the link, and then sync your bookmarks to a desktop computer from where the wiki can be saved normally.\n"
},
"$:/language/Modals/SaveInstructions": {
"title": "$:/language/Modals/SaveInstructions",
"subtitle": "Save your work",
"footer": "<$button message=\"tm-close-tiddler\">Close</$button>",
"help": "https://tiddlywiki.com/static/SavingChanges.html",
"text": "Your changes to this wiki need to be saved as a ~TiddlyWiki HTML file.\n\n!!! Desktop browsers\n\n# Select ''Save As'' from the ''File'' menu\n# Choose a filename and location\n#* Some browsers also require you to explicitly specify the file saving format as ''Webpage, HTML only'' or similar\n# Close this tab\n\n!!! Smartphone browsers\n\n# Create a bookmark to this page\n#* If you've got iCloud or Google Sync set up then the bookmark will automatically sync to your desktop where you can open it and save it as above\n# Close this tab\n\n//If you open the bookmark again in Mobile Safari you will see this message again. If you want to go ahead and use the file, just click the ''close'' button below//\n"
},
"$:/config/NewJournal/Title": {
"title": "$:/config/NewJournal/Title",
"text": "DDth MMM YYYY"
},
"$:/config/NewJournal/Text": {
"title": "$:/config/NewJournal/Text",
"text": ""
},
"$:/config/NewJournal/Tags": {
"title": "$:/config/NewJournal/Tags",
"tags": "Journal"
},
"$:/language/Notifications/Save/Done": {
"title": "$:/language/Notifications/Save/Done",
"text": "Saved wiki"
},
"$:/language/Notifications/Save/Starting": {
"title": "$:/language/Notifications/Save/Starting",
"text": "Starting to save wiki"
},
"$:/language/Notifications/CopiedToClipboard/Succeeded": {
"title": "$:/language/Notifications/CopiedToClipboard/Succeeded",
"text": "Copied to clipboard!"
},
"$:/language/Notifications/CopiedToClipboard/Failed": {
"title": "$:/language/Notifications/CopiedToClipboard/Failed",
"text": "Failed to copy to clipboard!"
},
"$:/language/Search/DefaultResults/Caption": {
"title": "$:/language/Search/DefaultResults/Caption",
"text": "List"
},
"$:/language/Search/Filter/Caption": {
"title": "$:/language/Search/Filter/Caption",
"text": "Filter"
},
"$:/language/Search/Filter/Hint": {
"title": "$:/language/Search/Filter/Hint",
"text": "Search via a [[filter expression|https://tiddlywiki.com/static/Filters.html]]"
},
"$:/language/Search/Filter/Matches": {
"title": "$:/language/Search/Filter/Matches",
"text": "//<small><<resultCount>> matches</small>//"
},
"$:/language/Search/Matches": {
"title": "$:/language/Search/Matches",
"text": "//<small><<resultCount>> matches</small>//"
},
"$:/language/Search/Matches/All": {
"title": "$:/language/Search/Matches/All",
"text": "All matches:"
},
"$:/language/Search/Matches/Title": {
"title": "$:/language/Search/Matches/Title",
"text": "Title matches:"
},
"$:/language/Search/Search": {
"title": "$:/language/Search/Search",
"text": "Search"
},
"$:/language/Search/Search/TooShort": {
"title": "$:/language/Search/Search/TooShort",
"text": "Search text too short"
},
"$:/language/Search/Shadows/Caption": {
"title": "$:/language/Search/Shadows/Caption",
"text": "Shadows"
},
"$:/language/Search/Shadows/Hint": {
"title": "$:/language/Search/Shadows/Hint",
"text": "Search for shadow tiddlers"
},
"$:/language/Search/Shadows/Matches": {
"title": "$:/language/Search/Shadows/Matches",
"text": "//<small><<resultCount>> matches</small>//"
},
"$:/language/Search/Standard/Caption": {
"title": "$:/language/Search/Standard/Caption",
"text": "Standard"
},
"$:/language/Search/Standard/Hint": {
"title": "$:/language/Search/Standard/Hint",
"text": "Search for standard tiddlers"
},
"$:/language/Search/Standard/Matches": {
"title": "$:/language/Search/Standard/Matches",
"text": "//<small><<resultCount>> matches</small>//"
},
"$:/language/Search/System/Caption": {
"title": "$:/language/Search/System/Caption",
"text": "System"
},
"$:/language/Search/System/Hint": {
"title": "$:/language/Search/System/Hint",
"text": "Search for system tiddlers"
},
"$:/language/Search/System/Matches": {
"title": "$:/language/Search/System/Matches",
"text": "//<small><<resultCount>> matches</small>//"
},
"$:/language/SideBar/All/Caption": {
"title": "$:/language/SideBar/All/Caption",
"text": "All"
},
"$:/language/SideBar/Contents/Caption": {
"title": "$:/language/SideBar/Contents/Caption",
"text": "Contents"
},
"$:/language/SideBar/Drafts/Caption": {
"title": "$:/language/SideBar/Drafts/Caption",
"text": "Drafts"
},
"$:/language/SideBar/Explorer/Caption": {
"title": "$:/language/SideBar/Explorer/Caption",
"text": "Explorer"
},
"$:/language/SideBar/Missing/Caption": {
"title": "$:/language/SideBar/Missing/Caption",
"text": "Missing"
},
"$:/language/SideBar/More/Caption": {
"title": "$:/language/SideBar/More/Caption",
"text": "More"
},
"$:/language/SideBar/Open/Caption": {
"title": "$:/language/SideBar/Open/Caption",
"text": "Open"
},
"$:/language/SideBar/Orphans/Caption": {
"title": "$:/language/SideBar/Orphans/Caption",
"text": "Orphans"
},
"$:/language/SideBar/Recent/Caption": {
"title": "$:/language/SideBar/Recent/Caption",
"text": "Recent"
},
"$:/language/SideBar/Shadows/Caption": {
"title": "$:/language/SideBar/Shadows/Caption",
"text": "Shadows"
},
"$:/language/SideBar/System/Caption": {
"title": "$:/language/SideBar/System/Caption",
"text": "System"
},
"$:/language/SideBar/Tags/Caption": {
"title": "$:/language/SideBar/Tags/Caption",
"text": "Tags"
},
"$:/language/SideBar/Tags/Untagged/Caption": {
"title": "$:/language/SideBar/Tags/Untagged/Caption",
"text": "untagged"
},
"$:/language/SideBar/Tools/Caption": {
"title": "$:/language/SideBar/Tools/Caption",
"text": "Tools"
},
"$:/language/SideBar/Types/Caption": {
"title": "$:/language/SideBar/Types/Caption",
"text": "Types"
},
"$:/SiteSubtitle": {
"title": "$:/SiteSubtitle",
"text": "a non-linear personal web notebook"
},
"$:/SiteTitle": {
"title": "$:/SiteTitle",
"text": "My ~TiddlyWiki"
},
"$:/language/Snippets/ListByTag": {
"title": "$:/language/Snippets/ListByTag",
"tags": "$:/tags/TextEditor/Snippet",
"caption": "List of tiddlers by tag",
"text": "<<list-links \"[tag[task]sort[title]]\">>\n"
},
"$:/language/Snippets/MacroDefinition": {
"title": "$:/language/Snippets/MacroDefinition",
"tags": "$:/tags/TextEditor/Snippet",
"caption": "Macro definition",
"text": "\\define macroName(param1:\"default value\",param2)\nText of the macro\n\\end\n"
},
"$:/language/Snippets/Table4x3": {
"title": "$:/language/Snippets/Table4x3",
"tags": "$:/tags/TextEditor/Snippet",
"caption": "Table with 4 columns by 3 rows",
"text": "|! |!Alpha |!Beta |!Gamma |!Delta |\n|!One | | | | |\n|!Two | | | | |\n|!Three | | | | |\n"
},
"$:/language/Snippets/TableOfContents": {
"title": "$:/language/Snippets/TableOfContents",
"tags": "$:/tags/TextEditor/Snippet",
"caption": "Table of Contents",
"text": "<div class=\"tc-table-of-contents\">\n\n<<toc-selective-expandable 'TableOfContents'>>\n\n</div>"
},
"$:/language/ThemeTweaks/ThemeTweaks": {
"title": "$:/language/ThemeTweaks/ThemeTweaks",
"text": "Theme Tweaks"
},
"$:/language/ThemeTweaks/ThemeTweaks/Hint": {
"title": "$:/language/ThemeTweaks/ThemeTweaks/Hint",
"text": "You can tweak certain aspects of the ''Vanilla'' theme."
},
"$:/language/ThemeTweaks/Options": {
"title": "$:/language/ThemeTweaks/Options",
"text": "Options"
},
"$:/language/ThemeTweaks/Options/SidebarLayout": {
"title": "$:/language/ThemeTweaks/Options/SidebarLayout",
"text": "Sidebar layout"
},
"$:/language/ThemeTweaks/Options/SidebarLayout/Fixed-Fluid": {
"title": "$:/language/ThemeTweaks/Options/SidebarLayout/Fixed-Fluid",
"text": "Fixed story, fluid sidebar"
},
"$:/language/ThemeTweaks/Options/SidebarLayout/Fluid-Fixed": {
"title": "$:/language/ThemeTweaks/Options/SidebarLayout/Fluid-Fixed",
"text": "Fluid story, fixed sidebar"
},
"$:/language/ThemeTweaks/Options/StickyTitles": {
"title": "$:/language/ThemeTweaks/Options/StickyTitles",
"text": "Sticky titles"
},
"$:/language/ThemeTweaks/Options/StickyTitles/Hint": {
"title": "$:/language/ThemeTweaks/Options/StickyTitles/Hint",
"text": "Causes tiddler titles to \"stick\" to the top of the browser window"
},
"$:/language/ThemeTweaks/Options/CodeWrapping": {
"title": "$:/language/ThemeTweaks/Options/CodeWrapping",
"text": "Wrap long lines in code blocks"
},
"$:/language/ThemeTweaks/Settings": {
"title": "$:/language/ThemeTweaks/Settings",
"text": "Settings"
},
"$:/language/ThemeTweaks/Settings/FontFamily": {
"title": "$:/language/ThemeTweaks/Settings/FontFamily",
"text": "Font family"
},
"$:/language/ThemeTweaks/Settings/CodeFontFamily": {
"title": "$:/language/ThemeTweaks/Settings/CodeFontFamily",
"text": "Code font family"
},
"$:/language/ThemeTweaks/Settings/EditorFontFamily": {
"title": "$:/language/ThemeTweaks/Settings/EditorFontFamily",
"text": "Editor font family"
},
"$:/language/ThemeTweaks/Settings/BackgroundImage": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImage",
"text": "Page background image"
},
"$:/language/ThemeTweaks/Settings/BackgroundImageAttachment": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImageAttachment",
"text": "Page background image attachment"
},
"$:/language/ThemeTweaks/Settings/BackgroundImageAttachment/Scroll": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImageAttachment/Scroll",
"text": "Scroll with tiddlers"
},
"$:/language/ThemeTweaks/Settings/BackgroundImageAttachment/Fixed": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImageAttachment/Fixed",
"text": "Fixed to window"
},
"$:/language/ThemeTweaks/Settings/BackgroundImageSize": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImageSize",
"text": "Page background image size"
},
"$:/language/ThemeTweaks/Settings/BackgroundImageSize/Auto": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImageSize/Auto",
"text": "Auto"
},
"$:/language/ThemeTweaks/Settings/BackgroundImageSize/Cover": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImageSize/Cover",
"text": "Cover"
},
"$:/language/ThemeTweaks/Settings/BackgroundImageSize/Contain": {
"title": "$:/language/ThemeTweaks/Settings/BackgroundImageSize/Contain",
"text": "Contain"
},
"$:/language/ThemeTweaks/Metrics": {
"title": "$:/language/ThemeTweaks/Metrics",
"text": "Sizes"
},
"$:/language/ThemeTweaks/Metrics/FontSize": {
"title": "$:/language/ThemeTweaks/Metrics/FontSize",
"text": "Font size"
},
"$:/language/ThemeTweaks/Metrics/LineHeight": {
"title": "$:/language/ThemeTweaks/Metrics/LineHeight",
"text": "Line height"
},
"$:/language/ThemeTweaks/Metrics/BodyFontSize": {
"title": "$:/language/ThemeTweaks/Metrics/BodyFontSize",
"text": "Font size for tiddler body"
},
"$:/language/ThemeTweaks/Metrics/BodyLineHeight": {
"title": "$:/language/ThemeTweaks/Metrics/BodyLineHeight",
"text": "Line height for tiddler body"
},
"$:/language/ThemeTweaks/Metrics/StoryLeft": {
"title": "$:/language/ThemeTweaks/Metrics/StoryLeft",
"text": "Story left position"
},
"$:/language/ThemeTweaks/Metrics/StoryLeft/Hint": {
"title": "$:/language/ThemeTweaks/Metrics/StoryLeft/Hint",
"text": "how far the left margin of the story river<br>(tiddler area) is from the left of the page"
},
"$:/language/ThemeTweaks/Metrics/StoryTop": {
"title": "$:/language/ThemeTweaks/Metrics/StoryTop",
"text": "Story top position"
},
"$:/language/ThemeTweaks/Metrics/StoryTop/Hint": {
"title": "$:/language/ThemeTweaks/Metrics/StoryTop/Hint",
"text": "how far the top margin of the story river<br>is from the top of the page"
},
"$:/language/ThemeTweaks/Metrics/StoryRight": {
"title": "$:/language/ThemeTweaks/Metrics/StoryRight",
"text": "Story right"
},
"$:/language/ThemeTweaks/Metrics/StoryRight/Hint": {
"title": "$:/language/ThemeTweaks/Metrics/StoryRight/Hint",
"text": "how far the left margin of the sidebar <br>is from the left of the page"
},
"$:/language/ThemeTweaks/Metrics/StoryWidth": {
"title": "$:/language/ThemeTweaks/Metrics/StoryWidth",
"text": "Story width"
},
"$:/language/ThemeTweaks/Metrics/StoryWidth/Hint": {
"title": "$:/language/ThemeTweaks/Metrics/StoryWidth/Hint",
"text": "the overall width of the story river"
},
"$:/language/ThemeTweaks/Metrics/TiddlerWidth": {
"title": "$:/language/ThemeTweaks/Metrics/TiddlerWidth",
"text": "Tiddler width"
},
"$:/language/ThemeTweaks/Metrics/TiddlerWidth/Hint": {
"title": "$:/language/ThemeTweaks/Metrics/TiddlerWidth/Hint",
"text": "within the story river"
},
"$:/language/ThemeTweaks/Metrics/SidebarBreakpoint": {
"title": "$:/language/ThemeTweaks/Metrics/SidebarBreakpoint",
"text": "Sidebar breakpoint"
},
"$:/language/ThemeTweaks/Metrics/SidebarBreakpoint/Hint": {
"title": "$:/language/ThemeTweaks/Metrics/SidebarBreakpoint/Hint",
"text": "the minimum page width at which the story<br>river and sidebar will appear side by side"
},
"$:/language/ThemeTweaks/Metrics/SidebarWidth": {
"title": "$:/language/ThemeTweaks/Metrics/SidebarWidth",
"text": "Sidebar width"
},
"$:/language/ThemeTweaks/Metrics/SidebarWidth/Hint": {
"title": "$:/language/ThemeTweaks/Metrics/SidebarWidth/Hint",
"text": "the width of the sidebar in fluid-fixed layout"
},
"$:/language/TiddlerInfo/Advanced/Caption": {
"title": "$:/language/TiddlerInfo/Advanced/Caption",
"text": "Advanced"
},
"$:/language/TiddlerInfo/Advanced/PluginInfo/Empty/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/PluginInfo/Empty/Hint",
"text": "none"
},
"$:/language/TiddlerInfo/Advanced/PluginInfo/Heading": {
"title": "$:/language/TiddlerInfo/Advanced/PluginInfo/Heading",
"text": "Plugin Details"
},
"$:/language/TiddlerInfo/Advanced/PluginInfo/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/PluginInfo/Hint",
"text": "This plugin contains the following shadow tiddlers:"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/Heading": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/Heading",
"text": "Shadow Status"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/NotShadow/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/NotShadow/Hint",
"text": "The tiddler <$link to=<<infoTiddler>>><$text text=<<infoTiddler>>/></$link> is not a shadow tiddler"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Hint",
"text": "The tiddler <$link to=<<infoTiddler>>><$text text=<<infoTiddler>>/></$link> is a shadow tiddler"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Source": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Source",
"text": "It is defined in the plugin <$link to=<<pluginTiddler>>><$text text=<<pluginTiddler>>/></$link>"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/OverriddenShadow/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/OverriddenShadow/Hint",
"text": "It is overridden by an ordinary tiddler"
},
"$:/language/TiddlerInfo/Fields/Caption": {
"title": "$:/language/TiddlerInfo/Fields/Caption",
"text": "Fields"
},
"$:/language/TiddlerInfo/List/Caption": {
"title": "$:/language/TiddlerInfo/List/Caption",
"text": "List"
},
"$:/language/TiddlerInfo/List/Empty": {
"title": "$:/language/TiddlerInfo/List/Empty",
"text": "This tiddler does not have a list"
},
"$:/language/TiddlerInfo/Listed/Caption": {
"title": "$:/language/TiddlerInfo/Listed/Caption",
"text": "Listed"
},
"$:/language/TiddlerInfo/Listed/Empty": {
"title": "$:/language/TiddlerInfo/Listed/Empty",
"text": "This tiddler is not listed by any others"
},
"$:/language/TiddlerInfo/References/Caption": {
"title": "$:/language/TiddlerInfo/References/Caption",
"text": "References"
},
"$:/language/TiddlerInfo/References/Empty": {
"title": "$:/language/TiddlerInfo/References/Empty",
"text": "No tiddlers link to this one"
},
"$:/language/TiddlerInfo/Tagging/Caption": {
"title": "$:/language/TiddlerInfo/Tagging/Caption",
"text": "Tagging"
},
"$:/language/TiddlerInfo/Tagging/Empty": {
"title": "$:/language/TiddlerInfo/Tagging/Empty",
"text": "No tiddlers are tagged with this one"
},
"$:/language/TiddlerInfo/Tools/Caption": {
"title": "$:/language/TiddlerInfo/Tools/Caption",
"text": "Tools"
},
"$:/language/Docs/Types/application/javascript": {
"title": "$:/language/Docs/Types/application/javascript",
"description": "JavaScript code",
"name": "application/javascript",
"group": "Developer",
"group-sort": "2"
},
"$:/language/Docs/Types/application/json": {
"title": "$:/language/Docs/Types/application/json",
"description": "JSON data",
"name": "application/json",
"group": "Developer",
"group-sort": "2"
},
"$:/language/Docs/Types/application/x-tiddler-dictionary": {
"title": "$:/language/Docs/Types/application/x-tiddler-dictionary",
"description": "Data dictionary",
"name": "application/x-tiddler-dictionary",
"group": "Developer",
"group-sort": "2"
},
"$:/language/Docs/Types/image/gif": {
"title": "$:/language/Docs/Types/image/gif",
"description": "GIF image",
"name": "image/gif",
"group": "Image",
"group-sort": "1"
},
"$:/language/Docs/Types/image/jpeg": {
"title": "$:/language/Docs/Types/image/jpeg",
"description": "JPEG image",
"name": "image/jpeg",
"group": "Image",
"group-sort": "1"
},
"$:/language/Docs/Types/image/png": {
"title": "$:/language/Docs/Types/image/png",
"description": "PNG image",
"name": "image/png",
"group": "Image",
"group-sort": "1"
},
"$:/language/Docs/Types/image/svg+xml": {
"title": "$:/language/Docs/Types/image/svg+xml",
"description": "Structured Vector Graphics image",
"name": "image/svg+xml",
"group": "Image",
"group-sort": "1"
},
"$:/language/Docs/Types/image/x-icon": {
"title": "$:/language/Docs/Types/image/x-icon",
"description": "ICO format icon file",
"name": "image/x-icon",
"group": "Image",
"group-sort": "1"
},
"$:/language/Docs/Types/text/css": {
"title": "$:/language/Docs/Types/text/css",
"description": "Static stylesheet",
"name": "text/css",
"group": "Developer",
"group-sort": "2"
},
"$:/language/Docs/Types/text/html": {
"title": "$:/language/Docs/Types/text/html",
"description": "HTML markup",
"name": "text/html",
"group": "Text",
"group-sort": "0"
},
"$:/language/Docs/Types/text/plain": {
"title": "$:/language/Docs/Types/text/plain",
"description": "Plain text",
"name": "text/plain",
"group": "Text",
"group-sort": "0"
},
"$:/language/Docs/Types/text/vnd.tiddlywiki": {
"title": "$:/language/Docs/Types/text/vnd.tiddlywiki",
"description": "TiddlyWiki 5",
"name": "text/vnd.tiddlywiki",
"group": "Text",
"group-sort": "0"
},
"$:/language/Docs/Types/text/x-tiddlywiki": {
"title": "$:/language/Docs/Types/text/x-tiddlywiki",
"description": "TiddlyWiki Classic",
"name": "text/x-tiddlywiki",
"group": "Text",
"group-sort": "0"
},
"$:/languages/en-GB/icon": {
"title": "$:/languages/en-GB/icon",
"type": "image/svg+xml",
"text": "<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 60 30\" width=\"1200\" height=\"600\">\n<clipPath id=\"t\">\n\t<path d=\"M30,15 h30 v15 z v15 h-30 z h-30 v-15 z v-15 h30 z\"/>\n</clipPath>\n<path d=\"M0,0 v30 h60 v-30 z\" fill=\"#00247d\"/>\n<path d=\"M0,0 L60,30 M60,0 L0,30\" stroke=\"#fff\" stroke-width=\"6\"/>\n<path d=\"M0,0 L60,30 M60,0 L0,30\" clip-path=\"url(#t)\" stroke=\"#cf142b\" stroke-width=\"4\"/>\n<path d=\"M30,0 v30 M0,15 h60\" stroke=\"#fff\" stroke-width=\"10\"/>\n<path d=\"M30,0 v30 M0,15 h60\" stroke=\"#cf142b\" stroke-width=\"6\"/>\n</svg>\n"
},
"$:/languages/en-GB": {
"title": "$:/languages/en-GB",
"name": "en-GB",
"description": "English (British)",
"author": "JeremyRuston",
"core-version": ">=5.0.0\"",
"text": "Stub pseudo-plugin for the default language"
},
"$:/core/modules/commander.js": {
"title": "$:/core/modules/commander.js",
"text": "/*\\\ntitle: $:/core/modules/commander.js\ntype: application/javascript\nmodule-type: global\n\nThe $tw.Commander class is a command interpreter\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nParse a sequence of commands\n\tcommandTokens: an array of command string tokens\n\twiki: reference to the wiki store object\n\tstreams: {output:, error:}, each of which has a write(string) method\n\tcallback: a callback invoked as callback(err) where err is null if there was no error\n*/\nvar Commander = function(commandTokens,callback,wiki,streams) {\n\tvar path = require(\"path\");\n\tthis.commandTokens = commandTokens;\n\tthis.nextToken = 0;\n\tthis.callback = callback;\n\tthis.wiki = wiki;\n\tthis.streams = streams;\n\tthis.outputPath = path.resolve($tw.boot.wikiPath,$tw.config.wikiOutputSubDir);\n};\n\n/*\nLog a string if verbose flag is set\n*/\nCommander.prototype.log = function(str) {\n\tif(this.verbose) {\n\t\tthis.streams.output.write(str + \"\\n\");\n\t}\n};\n\n/*\nWrite a string if verbose flag is set\n*/\nCommander.prototype.write = function(str) {\n\tif(this.verbose) {\n\t\tthis.streams.output.write(str);\n\t}\n};\n\n/*\nAdd a string of tokens to the command queue\n*/\nCommander.prototype.addCommandTokens = function(commandTokens) {\n\tvar params = commandTokens.slice(0);\n\tparams.unshift(0);\n\tparams.unshift(this.nextToken);\n\tArray.prototype.splice.apply(this.commandTokens,params);\n};\n\n/*\nExecute the sequence of commands and invoke a callback on completion\n*/\nCommander.prototype.execute = function() {\n\tthis.executeNextCommand();\n};\n\n/*\nExecute the next command in the sequence\n*/\nCommander.prototype.executeNextCommand = function() {\n\tvar self = this;\n\t// Invoke the callback if there are no more commands\n\tif(this.nextToken >= this.commandTokens.length) {\n\t\tthis.callback(null);\n\t} else {\n\t\t// Get and check the command token\n\t\tvar commandName = this.commandTokens[this.nextToken++];\n\t\tif(commandName.substr(0,2) !== \"--\") {\n\t\t\tthis.callback(\"Missing command: \" + commandName);\n\t\t} else {\n\t\t\tcommandName = commandName.substr(2); // Trim off the --\n\t\t\t// Accumulate the parameters to the command\n\t\t\tvar params = [];\n\t\t\twhile(this.nextToken < this.commandTokens.length && \n\t\t\t\tthis.commandTokens[this.nextToken].substr(0,2) !== \"--\") {\n\t\t\t\tparams.push(this.commandTokens[this.nextToken++]);\n\t\t\t}\n\t\t\t// Get the command info\n\t\t\tvar command = $tw.commands[commandName],\n\t\t\t\tc,err;\n\t\t\tif(!command) {\n\t\t\t\tthis.callback(\"Unknown command: \" + commandName);\n\t\t\t} else {\n\t\t\t\tif(this.verbose) {\n\t\t\t\t\tthis.streams.output.write(\"Executing command: \" + commandName + \" \" + params.join(\" \") + \"\\n\");\n\t\t\t\t}\n\t\t\t\t// Parse named parameters if required\n\t\t\t\tif(command.info.namedParameterMode) {\n\t\t\t\t\tparams = this.extractNamedParameters(params,command.info.mandatoryParameters);\n\t\t\t\t\tif(typeof params === \"string\") {\n\t\t\t\t\t\treturn this.callback(params);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tif(command.info.synchronous) {\n\t\t\t\t\t// Synchronous command\n\t\t\t\t\tc = new command.Command(params,this);\n\t\t\t\t\terr = c.execute();\n\t\t\t\t\tif(err) {\n\t\t\t\t\t\tthis.callback(err);\n\t\t\t\t\t} else {\n\t\t\t\t\t\tthis.executeNextCommand();\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\t// Asynchronous command\n\t\t\t\t\tc = new command.Command(params,this,function(err) {\n\t\t\t\t\t\tif(err) {\n\t\t\t\t\t\t\tself.callback(err);\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tself.executeNextCommand();\n\t\t\t\t\t\t}\n\t\t\t\t\t});\n\t\t\t\t\terr = c.execute();\n\t\t\t\t\tif(err) {\n\t\t\t\t\t\tthis.callback(err);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n};\n\n/*\nGiven an array of parameter strings `params` in name:value format, and an array of mandatory parameter names in `mandatoryParameters`, returns a hashmap of values or a string if error\n*/\nCommander.prototype.extractNamedParameters = function(params,mandatoryParameters) {\n\tmandatoryParameters = mandatoryParameters || [];\n\tvar errors = [],\n\t\tparamsByName = Object.create(null);\n\t// Extract the parameters\n\t$tw.utils.each(params,function(param) {\n\t\tvar index = param.indexOf(\"=\");\n\t\tif(index < 1) {\n\t\t\terrors.push(\"malformed named parameter: '\" + param + \"'\");\n\t\t}\n\t\tparamsByName[param.slice(0,index)] = $tw.utils.trim(param.slice(index+1));\n\t});\n\t// Check the mandatory parameters are present\n\t$tw.utils.each(mandatoryParameters,function(mandatoryParameter) {\n\t\tif(!$tw.utils.hop(paramsByName,mandatoryParameter)) {\n\t\t\terrors.push(\"missing mandatory parameter: '\" + mandatoryParameter + \"'\");\n\t\t}\n\t});\n\t// Return any errors\n\tif(errors.length > 0) {\n\t\treturn errors.join(\" and\\n\");\n\t} else {\n\t\treturn paramsByName;\t\t\n\t}\n};\n\nCommander.initCommands = function(moduleType) {\n\tmoduleType = moduleType || \"command\";\n\t$tw.commands = {};\n\t$tw.modules.forEachModuleOfType(moduleType,function(title,module) {\n\t\tvar c = $tw.commands[module.info.name] = {};\n\t\t// Add the methods defined by the module\n\t\tfor(var f in module) {\n\t\t\tif($tw.utils.hop(module,f)) {\n\t\t\t\tc[f] = module[f];\n\t\t\t}\n\t\t}\n\t});\n};\n\nexports.Commander = Commander;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/commands/build.js": {
"title": "$:/core/modules/commands/build.js",
"text": "/*\\\ntitle: $:/core/modules/commands/build.js\ntype: application/javascript\nmodule-type: command\n\nCommand to build a build target\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"build\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\t// Get the build targets defined in the wiki\n\tvar buildTargets = $tw.boot.wikiInfo.build;\n\tif(!buildTargets) {\n\t\treturn \"No build targets defined\";\n\t}\n\t// Loop through each of the specified targets\n\tvar targets;\n\tif(this.params.length > 0) {\n\t\ttargets = this.params;\n\t} else {\n\t\ttargets = Object.keys(buildTargets);\n\t}\n\tfor(var targetIndex=0; targetIndex<targets.length; targetIndex++) {\n\t\tvar target = targets[targetIndex],\n\t\t\tcommands = buildTargets[target];\n\t\tif(!commands) {\n\t\t\treturn \"Build target '\" + target + \"' not found\";\n\t\t}\n\t\t// Add the commands to the queue\n\t\tthis.commander.addCommandTokens(commands);\n\t}\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/clearpassword.js": {
"title": "$:/core/modules/commands/clearpassword.js",
"text": "/*\\\ntitle: $:/core/modules/commands/clearpassword.js\ntype: application/javascript\nmodule-type: command\n\nClear password for crypto operations\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"clearpassword\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\t$tw.crypto.setPassword(null);\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/deletetiddlers.js": {
"title": "$:/core/modules/commands/deletetiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/commands/deletetiddlers.js\ntype: application/javascript\nmodule-type: command\n\nCommand to delete tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"deletetiddlers\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing filter\";\n\t}\n\tvar self = this,\n\t\twiki = this.commander.wiki,\n\t\tfilter = this.params[0],\n\t\ttiddlers = wiki.filterTiddlers(filter);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\twiki.deleteTiddler(title);\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/editions.js": {
"title": "$:/core/modules/commands/editions.js",
"text": "/*\\\ntitle: $:/core/modules/commands/editions.js\ntype: application/javascript\nmodule-type: command\n\nCommand to list the available editions\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"editions\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tvar self = this;\n\t// Output the list\n\tthis.commander.streams.output.write(\"Available editions:\\n\\n\");\n\tvar editionInfo = $tw.utils.getEditionInfo();\n\t$tw.utils.each(editionInfo,function(info,name) {\n\t\tself.commander.streams.output.write(\" \" + name + \": \" + info.description + \"\\n\");\n\t});\n\tthis.commander.streams.output.write(\"\\n\");\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/fetch.js": {
"title": "$:/core/modules/commands/fetch.js",
"text": "/*\\\ntitle: $:/core/modules/commands/fetch.js\ntype: application/javascript\nmodule-type: command\n\nCommands to fetch external tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"fetch\",\n\tsynchronous: false\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing subcommand and url\";\n\t}\n\tswitch(this.params[0]) {\n\t\tcase \"raw-file\":\n\t\t\treturn this.fetchFiles({\n\t\t\t\traw: true,\n\t\t\t\turl: this.params[1],\n\t\t\t\ttransformFilter: this.params[2] || \"\",\n\t\t\t\tcallback: this.callback\n\t\t\t});\n\t\t\tbreak;\n\t\tcase \"file\":\n\t\t\treturn this.fetchFiles({\n\t\t\t\turl: this.params[1],\n\t\t\t\timportFilter: this.params[2],\n\t\t\t\ttransformFilter: this.params[3] || \"\",\n\t\t\t\tcallback: this.callback\n\t\t\t});\n\t\t\tbreak;\n\t\tcase \"raw-files\":\n\t\t\treturn this.fetchFiles({\n\t\t\t\traw: true,\n\t\t\t\turlFilter: this.params[1],\n\t\t\t\ttransformFilter: this.params[2] || \"\",\n\t\t\t\tcallback: this.callback\n\t\t\t});\n\t\t\tbreak;\n\t\tcase \"files\":\n\t\t\treturn this.fetchFiles({\n\t\t\t\turlFilter: this.params[1],\n\t\t\t\timportFilter: this.params[2],\n\t\t\t\ttransformFilter: this.params[3] || \"\",\n\t\t\t\tcallback: this.callback\n\t\t\t});\n\t\t\tbreak;\n\t}\n\treturn null;\n};\n\nCommand.prototype.fetchFiles = function(options) {\n\tvar self = this;\n\t// Get the list of URLs\n\tvar urls;\n\tif(options.url) {\n\t\turls = [options.url]\n\t} else if(options.urlFilter) {\n\t\turls = $tw.wiki.filterTiddlers(options.urlFilter);\n\t} else {\n\t\treturn \"Missing URL\";\n\t}\n\t// Process each URL in turn\n\tvar next = 0;\n\tvar getNextFile = function(err) {\n\t\tif(err) {\n\t\t\treturn options.callback(err);\n\t\t}\n\t\tif(next < urls.length) {\n\t\t\tself.fetchFile(urls[next++],options,getNextFile);\n\t\t} else {\n\t\t\toptions.callback(null);\n\t\t}\n\t};\n\tgetNextFile(null);\n\t// Success\n\treturn null;\n};\n\nCommand.prototype.fetchFile = function(url,options,callback,redirectCount) {\n\tif(redirectCount > 10) {\n\t\treturn callback(\"Error too many redirects retrieving \" + url);\n\t}\n\tvar self = this,\n\t\tlib = url.substr(0,8) === \"https://\" ? require(\"https\") : require(\"http\");\n\tlib.get(url).on(\"response\",function(response) {\n\t var type = (response.headers[\"content-type\"] || \"\").split(\";\")[0],\n\t \tdata = [];\n\t self.commander.write(\"Reading \" + url + \": \");\n\t response.on(\"data\",function(chunk) {\n\t data.push(chunk);\n\t self.commander.write(\".\");\n\t });\n\t response.on(\"end\",function() {\n\t self.commander.write(\"\\n\");\n\t if(response.statusCode === 200) {\n\t\t self.processBody(Buffer.concat(data),type,options,url);\n\t\t callback(null);\n\t } else {\n\t \tif(response.statusCode === 302 || response.statusCode === 303 || response.statusCode === 307) {\n\t \t\treturn self.fetchFile(response.headers.location,options,callback,redirectCount + 1);\n\t \t} else {\n\t\t \treturn callback(\"Error \" + response.statusCode + \" retrieving \" + url)\t \t\t\n\t \t}\n\t }\n\t \t});\n\t \tresponse.on(\"error\",function(e) {\n\t\t\tconsole.log(\"Error on GET request: \" + e);\n\t\t\tcallback(e);\n\t \t});\n\t});\n\treturn null;\n};\n\nCommand.prototype.processBody = function(body,type,options,url) {\n\tvar self = this;\n\t// Collect the tiddlers in a wiki\n\tvar incomingWiki = new $tw.Wiki();\n\tif(options.raw) {\n\t\tvar typeInfo = type ? $tw.config.contentTypeInfo[type] : null,\n\t\t\tencoding = typeInfo ? typeInfo.encoding : \"utf8\";\n\t\tincomingWiki.addTiddler(new $tw.Tiddler({\n\t\t\ttitle: url,\n\t\t\ttype: type,\n\t\t\ttext: body.toString(encoding)\n\t\t}));\n\t} else {\n\t\t// Deserialise the file to extract the tiddlers\n\t\tvar tiddlers = this.commander.wiki.deserializeTiddlers(type || \"text/html\",body.toString(\"utf8\"),{});\n\t\t$tw.utils.each(tiddlers,function(tiddler) {\n\t\t\tincomingWiki.addTiddler(new $tw.Tiddler(tiddler));\n\t\t});\n\t}\n\t// Filter the tiddlers to select the ones we want\n\tvar filteredTitles = incomingWiki.filterTiddlers(options.importFilter || \"[all[tiddlers]]\");\n\t// Import the selected tiddlers\n\tvar count = 0;\n\tincomingWiki.each(function(tiddler,title) {\n\t\tif(filteredTitles.indexOf(title) !== -1) {\n\t\t\tvar newTiddler;\n\t\t\tif(options.transformFilter) {\n\t\t\t\tvar transformedTitle = (incomingWiki.filterTiddlers(options.transformFilter,null,self.commander.wiki.makeTiddlerIterator([title])) || [\"\"])[0];\n\t\t\t\tif(transformedTitle) {\n\t\t\t\t\tself.commander.log(\"Importing \" + title + \" as \" + transformedTitle)\n\t\t\t\t\tnewTiddler = new $tw.Tiddler(tiddler,{title: transformedTitle});\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tself.commander.log(\"Importing \" + title)\n\t\t\t\tnewTiddler = tiddler;\n\t\t\t}\n\t\t\tself.commander.wiki.importTiddler(newTiddler);\n\t\t\tcount++;\n\t\t}\n\t});\n\tself.commander.log(\"Imported \" + count + \" tiddlers\")\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/help.js": {
"title": "$:/core/modules/commands/help.js",
"text": "/*\\\ntitle: $:/core/modules/commands/help.js\ntype: application/javascript\nmodule-type: command\n\nHelp command\n\n\\*/\n(function(){\n\n/*jshint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"help\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tvar subhelp = this.params[0] || \"default\",\n\t\thelpBase = \"$:/language/Help/\",\n\t\ttext;\n\tif(!this.commander.wiki.getTiddler(helpBase + subhelp)) {\n\t\tsubhelp = \"notfound\";\n\t}\n\t// Wikify the help as formatted text (ie block elements generate newlines)\n\ttext = this.commander.wiki.renderTiddler(\"text/plain-formatted\",helpBase + subhelp);\n\t// Remove any leading linebreaks\n\ttext = text.replace(/^(\\r?\\n)*/g,\"\");\n\tthis.commander.streams.output.write(text);\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/import.js": {
"title": "$:/core/modules/commands/import.js",
"text": "/*\\\ntitle: $:/core/modules/commands/import.js\ntype: application/javascript\nmodule-type: command\n\nCommand to import tiddlers from a file\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"import\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\");\n\tif(this.params.length < 2) {\n\t\treturn \"Missing parameters\";\n\t}\n\tvar filename = self.params[0],\n\t\tdeserializer = self.params[1],\n\t\ttitle = self.params[2] || filename,\n\t\tencoding = self.params[3] || \"utf8\",\n\t\ttext = fs.readFileSync(filename,encoding),\n\t\ttiddlers = this.commander.wiki.deserializeTiddlers(null,text,{title: title},{deserializer: deserializer});\n\t$tw.utils.each(tiddlers,function(tiddler) {\n\t\tself.commander.wiki.importTiddler(new $tw.Tiddler(tiddler));\n\t});\n\tthis.commander.log(tiddlers.length + \" tiddler(s) imported\");\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/init.js": {
"title": "$:/core/modules/commands/init.js",
"text": "/*\\\ntitle: $:/core/modules/commands/init.js\ntype: application/javascript\nmodule-type: command\n\nCommand to initialise an empty wiki folder\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"init\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tvar fs = require(\"fs\"),\n\t\tpath = require(\"path\");\n\t// Check that we don't already have a valid wiki folder\n\tif($tw.boot.wikiTiddlersPath || ($tw.utils.isDirectory($tw.boot.wikiPath) && !$tw.utils.isDirectoryEmpty($tw.boot.wikiPath))) {\n\t\treturn \"Wiki folder is not empty\";\n\t}\n\t// Loop through each of the specified editions\n\tvar editions = this.params.length > 0 ? this.params : [\"empty\"];\n\tfor(var editionIndex=0; editionIndex<editions.length; editionIndex++) {\n\t\tvar editionName = editions[editionIndex];\n\t\t// Check the edition exists\n\t\tvar editionPath = $tw.findLibraryItem(editionName,$tw.getLibraryItemSearchPaths($tw.config.editionsPath,$tw.config.editionsEnvVar));\n\t\tif(!$tw.utils.isDirectory(editionPath)) {\n\t\t\treturn \"Edition '\" + editionName + \"' not found\";\n\t\t}\n\t\t// Copy the edition content\n\t\tvar err = $tw.utils.copyDirectory(editionPath,$tw.boot.wikiPath);\n\t\tif(!err) {\n\t\t\tthis.commander.streams.output.write(\"Copied edition '\" + editionName + \"' to \" + $tw.boot.wikiPath + \"\\n\");\n\t\t} else {\n\t\t\treturn err;\n\t\t}\n\t}\n\t// Tweak the tiddlywiki.info to remove any included wikis\n\tvar packagePath = $tw.boot.wikiPath + \"/tiddlywiki.info\",\n\t\tpackageJson = JSON.parse(fs.readFileSync(packagePath));\n\tdelete packageJson.includeWikis;\n\tfs.writeFileSync(packagePath,JSON.stringify(packageJson,null,$tw.config.preferences.jsonSpaces));\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/listen.js": {
"title": "$:/core/modules/commands/listen.js",
"text": "/*\\\ntitle: $:/core/modules/commands/listen.js\ntype: application/javascript\nmodule-type: command\n\nListen for HTTP requests and serve tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Server = require(\"$:/core/modules/server/server.js\").Server;\n\nexports.info = {\n\tname: \"listen\",\n\tsynchronous: true,\n\tnamedParameterMode: true,\n\tmandatoryParameters: [],\n};\n\nvar Command = function(params,commander,callback) {\n\tvar self = this;\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar self = this;\n\tif(!$tw.boot.wikiTiddlersPath) {\n\t\t$tw.utils.warning(\"Warning: Wiki folder '\" + $tw.boot.wikiPath + \"' does not exist or is missing a tiddlywiki.info file\");\n\t}\n\t// Set up server\n\tthis.server = new Server({\n\t\twiki: this.commander.wiki,\n\t\tvariables: self.params\n\t});\n\tvar nodeServer = this.server.listen();\n\t$tw.hooks.invokeHook(\"th-server-command-post-start\",this.server,nodeServer,\"tiddlywiki\");\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/load.js": {
"title": "$:/core/modules/commands/load.js",
"text": "/*\\\ntitle: $:/core/modules/commands/load.js\ntype: application/javascript\nmodule-type: command\n\nCommand to load tiddlers from a file or directory\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"load\",\n\tsynchronous: false\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\");\n\tif(this.params.length < 1) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar tiddlers = $tw.loadTiddlersFromPath(self.params[0]),\n\t\tcount = 0;\n\t$tw.utils.each(tiddlers,function(tiddlerInfo) {\n\t\t$tw.utils.each(tiddlerInfo.tiddlers,function(tiddler) {\n\t\t\tself.commander.wiki.importTiddler(new $tw.Tiddler(tiddler));\n\t\t\tcount++;\n\t\t});\n\t});\n\tif(!count && self.params[1] !== \"noerror\") {\n\t\tself.callback(\"No tiddlers found in file \\\"\" + self.params[0] + \"\\\"\");\n\t} else {\n\t\tself.callback(null);\n\t}\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/makelibrary.js": {
"title": "$:/core/modules/commands/makelibrary.js",
"text": "/*\\\ntitle: $:/core/modules/commands/makelibrary.js\ntype: application/javascript\nmodule-type: command\n\nCommand to pack all of the plugins in the library into a plugin tiddler of type \"library\"\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"makelibrary\",\n\tsynchronous: true\n};\n\nvar UPGRADE_LIBRARY_TITLE = \"$:/UpgradeLibrary\";\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar wiki = this.commander.wiki,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\tupgradeLibraryTitle = this.params[0] || UPGRADE_LIBRARY_TITLE,\n\t\ttiddlers = {};\n\t// Collect up the library plugins\n\tvar collectPlugins = function(folder) {\n\t\t\tvar pluginFolders = fs.readdirSync(folder);\n\t\t\tfor(var p=0; p<pluginFolders.length; p++) {\n\t\t\t\tif(!$tw.boot.excludeRegExp.test(pluginFolders[p])) {\n\t\t\t\t\tpluginFields = $tw.loadPluginFolder(path.resolve(folder,\"./\" + pluginFolders[p]));\n\t\t\t\t\tif(pluginFields && pluginFields.title) {\n\t\t\t\t\t\ttiddlers[pluginFields.title] = pluginFields;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t},\n\t\tcollectPublisherPlugins = function(folder) {\n\t\t\tvar publisherFolders = fs.readdirSync(folder);\n\t\t\tfor(var t=0; t<publisherFolders.length; t++) {\n\t\t\t\tif(!$tw.boot.excludeRegExp.test(publisherFolders[t])) {\n\t\t\t\t\tcollectPlugins(path.resolve(folder,\"./\" + publisherFolders[t]));\n\t\t\t\t}\n\t\t\t}\n\t\t};\n\t$tw.utils.each($tw.getLibraryItemSearchPaths($tw.config.pluginsPath,$tw.config.pluginsEnvVar),collectPublisherPlugins);\n\t$tw.utils.each($tw.getLibraryItemSearchPaths($tw.config.themesPath,$tw.config.themesEnvVar),collectPublisherPlugins);\n\t$tw.utils.each($tw.getLibraryItemSearchPaths($tw.config.languagesPath,$tw.config.languagesEnvVar),collectPlugins);\n\t// Save the upgrade library tiddler\n\tvar pluginFields = {\n\t\ttitle: upgradeLibraryTitle,\n\t\ttype: \"application/json\",\n\t\t\"plugin-type\": \"library\",\n\t\t\"text\": JSON.stringify({tiddlers: tiddlers})\n\t};\n\twiki.addTiddler(new $tw.Tiddler(pluginFields));\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/output.js": {
"title": "$:/core/modules/commands/output.js",
"text": "/*\\\ntitle: $:/core/modules/commands/output.js\ntype: application/javascript\nmodule-type: command\n\nCommand to set the default output location (defaults to current working directory)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"output\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar fs = require(\"fs\"),\n\t\tpath = require(\"path\");\n\tif(this.params.length < 1) {\n\t\treturn \"Missing output path\";\n\t}\n\tthis.commander.outputPath = path.resolve(process.cwd(),this.params[0]);\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/password.js": {
"title": "$:/core/modules/commands/password.js",
"text": "/*\\\ntitle: $:/core/modules/commands/password.js\ntype: application/javascript\nmodule-type: command\n\nSave password for crypto operations\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"password\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing password\";\n\t}\n\t$tw.crypto.setPassword(this.params[0]);\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/render.js": {
"title": "$:/core/modules/commands/render.js",
"text": "/*\\\ntitle: $:/core/modules/commands/render.js\ntype: application/javascript\nmodule-type: command\n\nRender individual tiddlers and save the results to the specified files\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.info = {\n\tname: \"render\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing tiddler filter\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\twiki = this.commander.wiki,\n\t\ttiddlerFilter = this.params[0],\n\t\tfilenameFilter = this.params[1] || \"[is[tiddler]addsuffix[.html]]\",\n\t\ttype = this.params[2] || \"text/html\",\n\t\ttemplate = this.params[3],\n\t\tvarName = this.params[4],\n\t\tvarValue = this.params[5],\n\t\ttiddlers = wiki.filterTiddlers(tiddlerFilter);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar parser = wiki.parseTiddler(template || title),\n\t\t\tvariables = {currentTiddler: title};\n\t\tif(varName) {\n\t\t\tvariables[varName] = varValue || \"\";\n\t\t}\n\t\tvar widgetNode = wiki.makeWidget(parser,{variables: variables}),\n\t\t\tcontainer = $tw.fakeDocument.createElement(\"div\");\n\t\twidgetNode.render(container,null);\n\t\tvar text = type === \"text/html\" ? container.innerHTML : container.textContent,\n\t\t\tfilepath = path.resolve(self.commander.outputPath,wiki.filterTiddlers(filenameFilter,$tw.rootWidget,wiki.makeTiddlerIterator([title]))[0]);\n\t\tif(self.commander.verbose) {\n\t\t\tconsole.log(\"Rendering \\\"\" + title + \"\\\" to \\\"\" + filepath + \"\\\"\");\n\t\t}\n\t\t$tw.utils.createFileDirectories(filepath);\n\t\tfs.writeFileSync(filepath,text,\"utf8\");\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/rendertiddler.js": {
"title": "$:/core/modules/commands/rendertiddler.js",
"text": "/*\\\ntitle: $:/core/modules/commands/rendertiddler.js\ntype: application/javascript\nmodule-type: command\n\nCommand to render a tiddler and save it to a file\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"rendertiddler\",\n\tsynchronous: false\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\ttitle = this.params[0],\n\t\tfilename = path.resolve(this.commander.outputPath,this.params[1]),\n\t\ttype = this.params[2] || \"text/html\",\n\t\ttemplate = this.params[3],\n\t\tname = this.params[4],\n\t\tvalue = this.params[5],\n\t\tvariables = {};\n\t$tw.utils.createFileDirectories(filename);\n\tif(template) {\n\t\tvariables.currentTiddler = title;\n\t\ttitle = template;\n\t}\n\tif(name && value) {\n\t\tvariables[name] = value;\n\t}\n\tfs.writeFile(filename,this.commander.wiki.renderTiddler(type,title,{variables: variables}),\"utf8\",function(err) {\n\t\tself.callback(err);\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/rendertiddlers.js": {
"title": "$:/core/modules/commands/rendertiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/commands/rendertiddlers.js\ntype: application/javascript\nmodule-type: command\n\nCommand to render several tiddlers to a folder of files\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.info = {\n\tname: \"rendertiddlers\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\twiki = this.commander.wiki,\n\t\tfilter = this.params[0],\n\t\ttemplate = this.params[1],\n\t\toutputPath = this.commander.outputPath,\n\t\tpathname = path.resolve(outputPath,this.params[2]),\t\t\n\t\ttype = this.params[3] || \"text/html\",\n\t\textension = this.params[4] || \".html\",\n\t\tdeleteDirectory = (this.params[5] || \"\").toLowerCase() !== \"noclean\",\n\t\ttiddlers = wiki.filterTiddlers(filter);\n\tif(deleteDirectory) {\n\t\t$tw.utils.deleteDirectory(pathname);\n\t}\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar parser = wiki.parseTiddler(template),\n\t\t\twidgetNode = wiki.makeWidget(parser,{variables: {currentTiddler: title}}),\n\t\t\tcontainer = $tw.fakeDocument.createElement(\"div\");\n\t\twidgetNode.render(container,null);\n\t\tvar text = type === \"text/html\" ? container.innerHTML : container.textContent,\n\t\t\texportPath = null;\n\t\tif($tw.utils.hop($tw.macros,\"tv-get-export-path\")) {\n\t\t\tvar macroPath = $tw.macros[\"tv-get-export-path\"].run.apply(self,[title]);\n\t\t\tif(macroPath) {\n\t\t\t\texportPath = path.resolve(outputPath,macroPath + extension);\n\t\t\t}\n\t\t}\n\t\tvar finalPath = exportPath || path.resolve(pathname,encodeURIComponent(title) + extension);\n\t\t$tw.utils.createFileDirectories(finalPath);\n\t\tfs.writeFileSync(finalPath,text,\"utf8\");\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/save.js": {
"title": "$:/core/modules/commands/save.js",
"text": "/*\\\ntitle: $:/core/modules/commands/save.js\ntype: application/javascript\nmodule-type: command\n\nSaves individual tiddlers in their raw text or binary format to the specified files\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"save\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing filename filter\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\twiki = this.commander.wiki,\n\t\ttiddlerFilter = this.params[0],\n\t\tfilenameFilter = this.params[1] || \"[is[tiddler]]\",\n\t\ttiddlers = wiki.filterTiddlers(tiddlerFilter);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = self.commander.wiki.getTiddler(title),\n\t\t\ttype = tiddler.fields.type || \"text/vnd.tiddlywiki\",\n\t\t\tcontentTypeInfo = $tw.config.contentTypeInfo[type] || {encoding: \"utf8\"},\n\t\t\tfilepath = path.resolve(self.commander.outputPath,wiki.filterTiddlers(filenameFilter,$tw.rootWidget,wiki.makeTiddlerIterator([title]))[0]);\n\t\tif(self.commander.verbose) {\n\t\t\tconsole.log(\"Saving \\\"\" + title + \"\\\" to \\\"\" + filepath + \"\\\"\");\n\t\t}\n\t\t$tw.utils.createFileDirectories(filepath);\n\t\tfs.writeFileSync(filepath,tiddler.fields.text,contentTypeInfo.encoding);\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/savelibrarytiddlers.js": {
"title": "$:/core/modules/commands/savelibrarytiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/commands/savelibrarytiddlers.js\ntype: application/javascript\nmodule-type: command\n\nCommand to save the subtiddlers of a bundle tiddler as a series of JSON files\n\n--savelibrarytiddlers <tiddler> <pathname> <skinnylisting>\n\nThe tiddler identifies the bundle tiddler that contains the subtiddlers.\n\nThe pathname specifies the pathname to the folder in which the JSON files should be saved. The filename is the URL encoded title of the subtiddler.\n\nThe skinnylisting specifies the title of the tiddler to which a JSON catalogue of the subtiddlers will be saved. The JSON file contains the same data as the bundle tiddler but with the `text` field removed.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"savelibrarytiddlers\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\tcontainerTitle = this.params[0],\n\t\tfilter = this.params[1],\n\t\tbasepath = this.params[2],\n\t\tskinnyListTitle = this.params[3];\n\t// Get the container tiddler as data\n\tvar containerData = self.commander.wiki.getTiddlerDataCached(containerTitle,undefined);\n\tif(!containerData) {\n\t\treturn \"'\" + containerTitle + \"' is not a tiddler bundle\";\n\t}\n\t// Filter the list of plugins\n\tvar pluginList = [];\n\t$tw.utils.each(containerData.tiddlers,function(tiddler,title) {\n\t\tpluginList.push(title);\n\t});\n\tvar filteredPluginList;\n\tif(filter) {\n\t\tfilteredPluginList = self.commander.wiki.filterTiddlers(filter,null,self.commander.wiki.makeTiddlerIterator(pluginList));\n\t} else {\n\t\tfilteredPluginList = pluginList;\n\t}\n\t// Iterate through the plugins\n\tvar skinnyList = [];\n\t$tw.utils.each(filteredPluginList,function(title) {\n\t\tvar tiddler = containerData.tiddlers[title];\n\t\t// Save each JSON file and collect the skinny data\n\t\tvar pathname = path.resolve(self.commander.outputPath,basepath + encodeURIComponent(title) + \".json\");\n\t\t$tw.utils.createFileDirectories(pathname);\n\t\tfs.writeFileSync(pathname,JSON.stringify(tiddler),\"utf8\");\n\t\t// Collect the skinny list data\n\t\tvar pluginTiddlers = JSON.parse(tiddler.text),\n\t\t\treadmeContent = (pluginTiddlers.tiddlers[title + \"/readme\"] || {}).text,\n\t\t\tdoesRequireReload = !!$tw.wiki.doesPluginInfoRequireReload(pluginTiddlers),\n\t\t\ticonTiddler = pluginTiddlers.tiddlers[title + \"/icon\"] || {},\n\t\t\ticonType = iconTiddler.type,\n\t\t\ticonText = iconTiddler.text,\n\t\t\ticonContent;\n\t\tif(iconType && iconText) {\n\t\t\ticonContent = $tw.utils.makeDataUri(iconText,iconType);\n\t\t}\n\t\tskinnyList.push($tw.utils.extend({},tiddler,{\n\t\t\ttext: undefined,\n\t\t\treadme: readmeContent,\n\t\t\t\"requires-reload\": doesRequireReload ? \"yes\" : \"no\",\n\t\t\ticon: iconContent\n\t\t}));\n\t});\n\t// Save the catalogue tiddler\n\tif(skinnyListTitle) {\n\t\tself.commander.wiki.setTiddlerData(skinnyListTitle,skinnyList);\n\t}\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/savetiddler.js": {
"title": "$:/core/modules/commands/savetiddler.js",
"text": "/*\\\ntitle: $:/core/modules/commands/savetiddler.js\ntype: application/javascript\nmodule-type: command\n\nCommand to save the content of a tiddler to a file\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"savetiddler\",\n\tsynchronous: false\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\ttitle = this.params[0],\n\t\tfilename = path.resolve(this.commander.outputPath,this.params[1]),\n\t\ttiddler = this.commander.wiki.getTiddler(title);\n\tif(tiddler) {\n\t\tvar type = tiddler.fields.type || \"text/vnd.tiddlywiki\",\n\t\t\tcontentTypeInfo = $tw.config.contentTypeInfo[type] || {encoding: \"utf8\"};\n\t\t$tw.utils.createFileDirectories(filename);\n\t\tfs.writeFile(filename,tiddler.fields.text,contentTypeInfo.encoding,function(err) {\n\t\t\tself.callback(err);\n\t\t});\n\t} else {\n\t\treturn \"Missing tiddler: \" + title;\n\t}\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/savetiddlers.js": {
"title": "$:/core/modules/commands/savetiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/commands/savetiddlers.js\ntype: application/javascript\nmodule-type: command\n\nCommand to save several tiddlers to a folder of files\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.info = {\n\tname: \"savetiddlers\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\twiki = this.commander.wiki,\n\t\tfilter = this.params[0],\n\t\tpathname = path.resolve(this.commander.outputPath,this.params[1]),\n\t\tdeleteDirectory = (this.params[2] || \"\").toLowerCase() !== \"noclean\",\n\t\ttiddlers = wiki.filterTiddlers(filter);\n\tif(deleteDirectory) {\n\t\t$tw.utils.deleteDirectory(pathname);\n\t}\n\t$tw.utils.createDirectory(pathname);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = self.commander.wiki.getTiddler(title),\n\t\t\ttype = tiddler.fields.type || \"text/vnd.tiddlywiki\",\n\t\t\tcontentTypeInfo = $tw.config.contentTypeInfo[type] || {encoding: \"utf8\"},\n\t\t\tfilename = path.resolve(pathname,encodeURIComponent(title));\n\t\tfs.writeFileSync(filename,tiddler.fields.text,contentTypeInfo.encoding);\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/savewikifolder.js": {
"title": "$:/core/modules/commands/savewikifolder.js",
"text": "/*\\\ntitle: $:/core/modules/commands/savewikifolder.js\ntype: application/javascript\nmodule-type: command\n\nCommand to save the current wiki as a wiki folder\n\n--savewikifolder <wikifolderpath> [<filter>]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"savewikifolder\",\n\tsynchronous: true\n};\n\nvar fs,path;\nif($tw.node) {\n\tfs = require(\"fs\");\n\tpath = require(\"path\");\n}\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing wiki folder path\";\n\t}\n\tvar wikifoldermaker = new WikiFolderMaker(this.params[0],this.params[1],this.commander);\n\treturn wikifoldermaker.save();\n};\n\nfunction WikiFolderMaker(wikiFolderPath,wikiFilter,commander) {\n\tthis.wikiFolderPath = wikiFolderPath;\n\tthis.wikiFilter = wikiFilter || \"[all[tiddlers]]\";\n\tthis.commander = commander;\n\tthis.wiki = commander.wiki;\n\tthis.savedPaths = []; // So that we can detect filename clashes\n}\n\nWikiFolderMaker.prototype.log = function(str) {\n\tif(this.commander.verbose) {\n\t\tconsole.log(str);\n\t}\n};\n\nWikiFolderMaker.prototype.tiddlersToIgnore = [\n\t\"$:/boot/boot.css\",\n\t\"$:/boot/boot.js\",\n\t\"$:/boot/bootprefix.js\",\n\t\"$:/core\",\n\t\"$:/library/sjcl.js\",\n\t\"$:/temp/info-plugin\"\n];\n\n/*\nReturns null if successful, or an error string if there was an error\n*/\nWikiFolderMaker.prototype.save = function() {\n\tvar self = this;\n\t// Check that the output directory doesn't exist\n\tif(fs.existsSync(this.wikiFolderPath) && !$tw.utils.isDirectoryEmpty(this.wikiFolderPath)) {\n\t\treturn \"The unpackwiki command requires that the output wiki folder be empty\";\n\t}\n\t// Get the tiddlers from the source wiki\n\tvar tiddlerTitles = this.wiki.filterTiddlers(this.wikiFilter);\n\t// Initialise a new tiddlwiki.info file\n\tvar newWikiInfo = {};\n\t// Process each incoming tiddler in turn\n\t$tw.utils.each(tiddlerTitles,function(title) {\n\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\tif(tiddler) {\n\t\t\tif(self.tiddlersToIgnore.indexOf(title) !== -1) {\n\t\t\t\t// Ignore the core plugin and the ephemeral info plugin\n\t\t\t\tself.log(\"Ignoring tiddler: \" + title);\n\t\t\t} else {\n\t\t\t\tvar type = tiddler.fields.type,\n\t\t\t\t\tpluginType = tiddler.fields[\"plugin-type\"];\n\t\t\t\tif(type === \"application/json\" && pluginType) {\n\t\t\t\t\t// Plugin tiddler\n\t\t\t\t\tvar libraryDetails = self.findPluginInLibrary(title);\n\t\t\t\t\tif(libraryDetails) {\n\t\t\t\t\t\t// A plugin from the core library\n\t\t\t\t\t\tself.log(\"Adding built-in plugin: \" + libraryDetails.name);\n\t\t\t\t\t\tnewWikiInfo[libraryDetails.type] = newWikiInfo[libraryDetails.type] || [];\n\t\t\t\t\t\t$tw.utils.pushTop(newWikiInfo[libraryDetails.type],libraryDetails.name);\n\t\t\t\t\t} else {\n\t\t\t\t\t\t// A custom plugin\n\t\t\t\t\t\tself.log(\"Processing custom plugin: \" + title);\n\t\t\t\t\t\tself.saveCustomPlugin(tiddler);\n\t\t\t\t\t}\t\t\t\t\n\t\t\t\t} else {\n\t\t\t\t\t// Ordinary tiddler\n\t\t\t\t\tself.saveTiddler(\"tiddlers\",tiddler);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\t// Save the tiddlywiki.info file\n\tthis.saveJSONFile(\"tiddlywiki.info\",newWikiInfo);\n\tself.log(\"Writing tiddlywiki.info: \" + JSON.stringify(newWikiInfo,null,$tw.config.preferences.jsonSpaces));\n\treturn null;\n};\n\n/*\nTest whether the specified tiddler is a plugin in the plugin library\n*/\nWikiFolderMaker.prototype.findPluginInLibrary = function(title) {\n\tvar parts = title.split(\"/\"),\n\t\tpluginPath, type, name;\n\tif(parts[0] === \"$:\") {\n\t\tif(parts[1] === \"languages\" && parts.length === 3) {\n\t\t\tpluginPath = \"languages\" + path.sep + parts[2];\n\t\t\ttype = parts[1];\n\t\t\tname = parts[2];\n\t\t} else if(parts[1] === \"plugins\" || parts[1] === \"themes\" && parts.length === 4) {\n\t\t\tpluginPath = parts[1] + path.sep + parts[2] + path.sep + parts[3];\n\t\t\ttype = parts[1];\n\t\t\tname = parts[2] + \"/\" + parts[3];\n\t\t}\n\t}\n\tif(pluginPath && type && name) {\n\t\tpluginPath = path.resolve($tw.boot.bootPath,\"..\",pluginPath);\n\t\tif(fs.existsSync(pluginPath)) {\n\t\t\treturn {\n\t\t\t\tpluginPath: pluginPath,\n\t\t\t\ttype: type,\n\t\t\t\tname: name\n\t\t\t};\n\t\t}\n\t}\n\treturn false;\n};\n\nWikiFolderMaker.prototype.saveCustomPlugin = function(pluginTiddler) {\n\tvar self = this,\n\t\tpluginTitle = pluginTiddler.fields.title,\n\t\ttitleParts = pluginTitle.split(\"/\"),\n\t\tdirectory = $tw.utils.generateTiddlerFilepath(titleParts[titleParts.length - 1],{\n\t\t\tdirectory: path.resolve(this.wikiFolderPath,pluginTiddler.fields[\"plugin-type\"] + \"s\")\n\t\t}),\n\t\tpluginInfo = pluginTiddler.getFieldStrings({exclude: [\"text\",\"type\"]});\n\tthis.saveJSONFile(directory + path.sep + \"plugin.info\",pluginInfo);\n\tself.log(\"Writing \" + directory + path.sep + \"plugin.info: \" + JSON.stringify(pluginInfo,null,$tw.config.preferences.jsonSpaces));\n\tvar pluginTiddlers = JSON.parse(pluginTiddler.fields.text).tiddlers; // A hashmap of tiddlers in the plugin\n\t$tw.utils.each(pluginTiddlers,function(tiddler) {\n\t\tself.saveTiddler(directory,new $tw.Tiddler(tiddler));\n\t});\n};\n\nWikiFolderMaker.prototype.saveTiddler = function(directory,tiddler) {\n\tvar fileInfo = $tw.utils.generateTiddlerFileInfo(tiddler,{\n\t\tdirectory: path.resolve(this.wikiFolderPath,directory),\n\t\twiki: this.wiki\n\t});\n\t$tw.utils.saveTiddlerToFileSync(tiddler,fileInfo);\n};\n\nWikiFolderMaker.prototype.saveJSONFile = function(filename,json) {\n\tthis.saveTextFile(filename,JSON.stringify(json,null,$tw.config.preferences.jsonSpaces));\n};\n\nWikiFolderMaker.prototype.saveTextFile = function(filename,data) {\n\tthis.saveFile(filename,\"utf8\",data);\n};\n\nWikiFolderMaker.prototype.saveFile = function(filename,encoding,data) {\n\tvar filepath = path.resolve(this.wikiFolderPath,filename);\n\t$tw.utils.createFileDirectories(filepath);\n\tfs.writeFileSync(filepath,data,encoding);\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/server.js": {
"title": "$:/core/modules/commands/server.js",
"text": "/*\\\ntitle: $:/core/modules/commands/server.js\ntype: application/javascript\nmodule-type: command\n\nDeprecated legacy command for serving tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Server = require(\"$:/core/modules/server/server.js\").Server;\n\nexports.info = {\n\tname: \"server\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tvar self = this;\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(!$tw.boot.wikiTiddlersPath) {\n\t\t$tw.utils.warning(\"Warning: Wiki folder '\" + $tw.boot.wikiPath + \"' does not exist or is missing a tiddlywiki.info file\");\n\t}\n\t// Set up server\n\tthis.server = new Server({\n\t\twiki: this.commander.wiki,\n\t\tvariables: {\n\t\t\tport: this.params[0],\n\t\t\thost: this.params[6],\n\t\t\t\"root-tiddler\": this.params[1],\n\t\t\t\"root-render-type\": this.params[2],\n\t\t\t\"root-serve-type\": this.params[3],\n\t\t\tusername: this.params[4],\n\t\t\tpassword: this.params[5],\n\t\t\t\"path-prefix\": this.params[7],\n\t\t\t\"debug-level\": this.params[8]\n\t\t}\n\t});\n\tvar nodeServer = this.server.listen();\n\t$tw.hooks.invokeHook(\"th-server-command-post-start\",this.server,nodeServer,\"tiddlywiki\");\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/setfield.js": {
"title": "$:/core/modules/commands/setfield.js",
"text": "/*\\\ntitle: $:/core/modules/commands/setfield.js\ntype: application/javascript\nmodule-type: command\n\nCommand to modify selected tiddlers to set a field to the text of a template tiddler that has been wikified with the selected tiddler as the current tiddler.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.info = {\n\tname: \"setfield\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 4) {\n\t\treturn \"Missing parameters\";\n\t}\n\tvar self = this,\n\t\twiki = this.commander.wiki,\n\t\tfilter = this.params[0],\n\t\tfieldname = this.params[1] || \"text\",\n\t\ttemplatetitle = this.params[2],\n\t\trendertype = this.params[3] || \"text/plain\",\n\t\ttiddlers = wiki.filterTiddlers(filter);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar parser = wiki.parseTiddler(templatetitle),\n\t\t\tnewFields = {},\n\t\t\ttiddler = wiki.getTiddler(title);\n\t\tif(parser) {\n\t\t\tvar widgetNode = wiki.makeWidget(parser,{variables: {currentTiddler: title}});\n\t\t\tvar container = $tw.fakeDocument.createElement(\"div\");\n\t\t\twidgetNode.render(container,null);\n\t\t\tnewFields[fieldname] = rendertype === \"text/html\" ? container.innerHTML : container.textContent;\n\t\t} else {\n\t\t\tnewFields[fieldname] = undefined;\n\t\t}\n\t\twiki.addTiddler(new $tw.Tiddler(tiddler,newFields));\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/unpackplugin.js": {
"title": "$:/core/modules/commands/unpackplugin.js",
"text": "/*\\\ntitle: $:/core/modules/commands/unpackplugin.js\ntype: application/javascript\nmodule-type: command\n\nCommand to extract the shadow tiddlers from within a plugin\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"unpackplugin\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing plugin name\";\n\t}\n\tvar self = this,\n\t\ttitle = this.params[0],\n\t\tpluginData = this.commander.wiki.getTiddlerDataCached(title);\n\tif(!pluginData) {\n\t\treturn \"Plugin '\" + title + \"' not found\";\n\t}\n\t$tw.utils.each(pluginData.tiddlers,function(tiddler) {\n\t\tself.commander.wiki.addTiddler(new $tw.Tiddler(tiddler));\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/verbose.js": {
"title": "$:/core/modules/commands/verbose.js",
"text": "/*\\\ntitle: $:/core/modules/commands/verbose.js\ntype: application/javascript\nmodule-type: command\n\nVerbose command\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"verbose\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tthis.commander.verbose = true;\n\t// Output the boot message log\n\tthis.commander.streams.output.write(\"Boot log:\\n \" + $tw.boot.logMessages.join(\"\\n \") + \"\\n\");\n\treturn null; // No error\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/version.js": {
"title": "$:/core/modules/commands/version.js",
"text": "/*\\\ntitle: $:/core/modules/commands/version.js\ntype: application/javascript\nmodule-type: command\n\nVersion command\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"version\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tthis.commander.streams.output.write($tw.version + \"\\n\");\n\treturn null; // No error\n};\n\nexports.Command = Command;\n\n})();\n",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/config.js": {
"title": "$:/core/modules/config.js",
"text": "/*\\\ntitle: $:/core/modules/config.js\ntype: application/javascript\nmodule-type: config\n\nCore configuration constants\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.preferences = {};\n\nexports.preferences.notificationDuration = 3 * 1000;\nexports.preferences.jsonSpaces = 4;\n\nexports.textPrimitives = {\n\tupperLetter: \"[A-Z\\u00c0-\\u00d6\\u00d8-\\u00de\\u0150\\u0170]\",\n\tlowerLetter: \"[a-z\\u00df-\\u00f6\\u00f8-\\u00ff\\u0151\\u0171]\",\n\tanyLetter: \"[A-Za-z0-9\\u00c0-\\u00d6\\u00d8-\\u00de\\u00df-\\u00f6\\u00f8-\\u00ff\\u0150\\u0170\\u0151\\u0171]\",\n\tblockPrefixLetters:\t\"[A-Za-z0-9-_\\u00c0-\\u00d6\\u00d8-\\u00de\\u00df-\\u00f6\\u00f8-\\u00ff\\u0150\\u0170\\u0151\\u0171]\"\n};\n\nexports.textPrimitives.unWikiLink = \"~\";\nexports.textPrimitives.wikiLink = exports.textPrimitives.upperLetter + \"+\" +\n\texports.textPrimitives.lowerLetter + \"+\" +\n\texports.textPrimitives.upperLetter +\n\texports.textPrimitives.anyLetter + \"*\";\n\nexports.htmlEntities = {quot:34, amp:38, apos:39, lt:60, gt:62, nbsp:160, iexcl:161, cent:162, pound:163, curren:164, yen:165, brvbar:166, sect:167, uml:168, copy:169, ordf:170, laquo:171, not:172, shy:173, reg:174, macr:175, deg:176, plusmn:177, sup2:178, sup3:179, acute:180, micro:181, para:182, middot:183, cedil:184, sup1:185, ordm:186, raquo:187, frac14:188, frac12:189, frac34:190, iquest:191, Agrave:192, Aacute:193, Acirc:194, Atilde:195, Auml:196, Aring:197, AElig:198, Ccedil:199, Egrave:200, Eacute:201, Ecirc:202, Euml:203, Igrave:204, Iacute:205, Icirc:206, Iuml:207, ETH:208, Ntilde:209, Ograve:210, Oacute:211, Ocirc:212, Otilde:213, Ouml:214, times:215, Oslash:216, Ugrave:217, Uacute:218, Ucirc:219, Uuml:220, Yacute:221, THORN:222, szlig:223, agrave:224, aacute:225, acirc:226, atilde:227, auml:228, aring:229, aelig:230, ccedil:231, egrave:232, eacute:233, ecirc:234, euml:235, igrave:236, iacute:237, icirc:238, iuml:239, eth:240, ntilde:241, ograve:242, oacute:243, ocirc:244, otilde:245, ouml:246, divide:247, oslash:248, ugrave:249, uacute:250, ucirc:251, uuml:252, yacute:253, thorn:254, yuml:255, OElig:338, oelig:339, Scaron:352, scaron:353, Yuml:376, fnof:402, circ:710, tilde:732, Alpha:913, Beta:914, Gamma:915, Delta:916, Epsilon:917, Zeta:918, Eta:919, Theta:920, Iota:921, Kappa:922, Lambda:923, Mu:924, Nu:925, Xi:926, Omicron:927, Pi:928, Rho:929, Sigma:931, Tau:932, Upsilon:933, Phi:934, Chi:935, Psi:936, Omega:937, alpha:945, beta:946, gamma:947, delta:948, epsilon:949, zeta:950, eta:951, theta:952, iota:953, kappa:954, lambda:955, mu:956, nu:957, xi:958, omicron:959, pi:960, rho:961, sigmaf:962, sigma:963, tau:964, upsilon:965, phi:966, chi:967, psi:968, omega:969, thetasym:977, upsih:978, piv:982, ensp:8194, emsp:8195, thinsp:8201, zwnj:8204, zwj:8205, lrm:8206, rlm:8207, ndash:8211, mdash:8212, lsquo:8216, rsquo:8217, sbquo:8218, ldquo:8220, rdquo:8221, bdquo:8222, dagger:8224, Dagger:8225, bull:8226, hellip:8230, permil:8240, prime:8242, Prime:8243, lsaquo:8249, rsaquo:8250, oline:8254, frasl:8260, euro:8364, image:8465, weierp:8472, real:8476, trade:8482, alefsym:8501, larr:8592, uarr:8593, rarr:8594, darr:8595, harr:8596, crarr:8629, lArr:8656, uArr:8657, rArr:8658, dArr:8659, hArr:8660, forall:8704, part:8706, exist:8707, empty:8709, nabla:8711, isin:8712, notin:8713, ni:8715, prod:8719, sum:8721, minus:8722, lowast:8727, radic:8730, prop:8733, infin:8734, ang:8736, and:8743, or:8744, cap:8745, cup:8746, int:8747, there4:8756, sim:8764, cong:8773, asymp:8776, ne:8800, equiv:8801, le:8804, ge:8805, sub:8834, sup:8835, nsub:8836, sube:8838, supe:8839, oplus:8853, otimes:8855, perp:8869, sdot:8901, lceil:8968, rceil:8969, lfloor:8970, rfloor:8971, lang:9001, rang:9002, loz:9674, spades:9824, clubs:9827, hearts:9829, diams:9830 };\n\nexports.htmlVoidElements = \"area,base,br,col,command,embed,hr,img,input,keygen,link,meta,param,source,track,wbr\".split(\",\");\n\nexports.htmlBlockElements = \"address,article,aside,audio,blockquote,canvas,dd,div,dl,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,hr,li,noscript,ol,output,p,pre,section,table,tfoot,ul,video\".split(\",\");\n\nexports.htmlUnsafeElements = \"script\".split(\",\");\n\n})();\n",
"type": "application/javascript",
"module-type": "config"
},
"$:/core/modules/deserializers.js": {
"title": "$:/core/modules/deserializers.js",
"text": "/*\\\ntitle: $:/core/modules/deserializers.js\ntype: application/javascript\nmodule-type: tiddlerdeserializer\n\nFunctions to deserialise tiddlers from a block of text\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nUtility function to parse an old-style tiddler DIV in a *.tid file. It looks like this:\n\n<div title=\"Title\" creator=\"JoeBloggs\" modifier=\"JoeBloggs\" created=\"201102111106\" modified=\"201102111310\" tags=\"myTag [[my long tag]]\">\n<pre>The text of the tiddler (without the expected HTML encoding).\n</pre>\n</div>\n\nNote that the field attributes are HTML encoded, but that the body of the <PRE> tag is not encoded.\n\nWhen these tiddler DIVs are encountered within a TiddlyWiki HTML file then the body is encoded in the usual way.\n*/\nvar parseTiddlerDiv = function(text /* [,fields] */) {\n\t// Slot together the default results\n\tvar result = {};\n\tif(arguments.length > 1) {\n\t\tfor(var f=1; f<arguments.length; f++) {\n\t\t\tvar fields = arguments[f];\n\t\t\tfor(var t in fields) {\n\t\t\t\tresult[t] = fields[t];\t\t\n\t\t\t}\n\t\t}\n\t}\n\t// Parse the DIV body\n\tvar startRegExp = /^\\s*<div\\s+([^>]*)>(\\s*<pre>)?/gi,\n\t\tendRegExp,\n\t\tmatch = startRegExp.exec(text);\n\tif(match) {\n\t\t// Old-style DIVs don't have the <pre> tag\n\t\tif(match[2]) {\n\t\t\tendRegExp = /<\\/pre>\\s*<\\/div>\\s*$/gi;\n\t\t} else {\n\t\t\tendRegExp = /<\\/div>\\s*$/gi;\n\t\t}\n\t\tvar endMatch = endRegExp.exec(text);\n\t\tif(endMatch) {\n\t\t\t// Extract the text\n\t\t\tresult.text = text.substring(match.index + match[0].length,endMatch.index);\n\t\t\t// Process the attributes\n\t\t\tvar attrRegExp = /\\s*([^=\\s]+)\\s*=\\s*(?:\"([^\"]*)\"|'([^']*)')/gi,\n\t\t\t\tattrMatch;\n\t\t\tdo {\n\t\t\t\tattrMatch = attrRegExp.exec(match[1]);\n\t\t\t\tif(attrMatch) {\n\t\t\t\t\tvar name = attrMatch[1];\n\t\t\t\t\tvar value = attrMatch[2] !== undefined ? attrMatch[2] : attrMatch[3];\n\t\t\t\t\tresult[name] = value;\n\t\t\t\t}\n\t\t\t} while(attrMatch);\n\t\t\treturn result;\n\t\t}\n\t}\n\treturn undefined;\n};\n\nexports[\"application/x-tiddler-html-div\"] = function(text,fields) {\n\treturn [parseTiddlerDiv(text,fields)];\n};\n\nexports[\"application/json\"] = function(text,fields) {\n\tvar incoming,\n\t\tresults = [];\n\ttry {\n\t\tincoming = JSON.parse(text);\n\t} catch(e) {\n\t\tincoming = [{\n\t\t\ttitle: \"JSON error: \" + e,\n\t\t\ttext: \"\"\n\t\t}]\n\t}\n\tif(!$tw.utils.isArray(incoming)) {\n\t\tincoming = [incoming];\n\t}\n\tfor(var t=0; t<incoming.length; t++) {\n\t\tvar incomingFields = incoming[t],\n\t\t\tfields = {};\n\t\tfor(var f in incomingFields) {\n\t\t\tif(typeof incomingFields[f] === \"string\") {\n\t\t\t\tfields[f] = incomingFields[f];\n\t\t\t}\n\t\t}\n\t\tresults.push(fields);\n\t}\n\treturn results;\n};\n\n/*\nParse an HTML file into tiddlers. There are three possibilities:\n# A TiddlyWiki classic HTML file containing `text/x-tiddlywiki` tiddlers\n# A TiddlyWiki5 HTML file containing `text/vnd.tiddlywiki` tiddlers\n# An ordinary HTML file\n*/\nexports[\"text/html\"] = function(text,fields) {\n\t// Check if we've got a store area\n\tvar storeAreaMarkerRegExp = /<div id=[\"']?storeArea['\"]?( style=[\"']?display:none;[\"']?)?>/gi,\n\t\tmatch = storeAreaMarkerRegExp.exec(text);\n\tif(match) {\n\t\t// If so, it's either a classic TiddlyWiki file or an unencrypted TW5 file\n\t\t// First read the normal tiddlers\n\t\tvar results = deserializeTiddlyWikiFile(text,storeAreaMarkerRegExp.lastIndex,!!match[1],fields);\n\t\t// Then any system tiddlers\n\t\tvar systemAreaMarkerRegExp = /<div id=[\"']?systemArea['\"]?( style=[\"']?display:none;[\"']?)?>/gi,\n\t\t\tsysMatch = systemAreaMarkerRegExp.exec(text);\n\t\tif(sysMatch) {\n\t\t\tresults.push.apply(results,deserializeTiddlyWikiFile(text,systemAreaMarkerRegExp.lastIndex,!!sysMatch[1],fields));\n\t\t}\n\t\treturn results;\n\t} else {\n\t\t// Check whether we've got an encrypted file\n\t\tvar encryptedStoreArea = $tw.utils.extractEncryptedStoreArea(text);\n\t\tif(encryptedStoreArea) {\n\t\t\t// If so, attempt to decrypt it using the current password\n\t\t\treturn $tw.utils.decryptStoreArea(encryptedStoreArea);\n\t\t} else {\n\t\t\t// It's not a TiddlyWiki so we'll return the entire HTML file as a tiddler\n\t\t\treturn deserializeHtmlFile(text,fields);\n\t\t}\n\t}\n};\n\nfunction deserializeHtmlFile(text,fields) {\n\tvar result = {};\n\t$tw.utils.each(fields,function(value,name) {\n\t\tresult[name] = value;\n\t});\n\tresult.text = text;\n\tresult.type = \"text/html\";\n\treturn [result];\n}\n\nfunction deserializeTiddlyWikiFile(text,storeAreaEnd,isTiddlyWiki5,fields) {\n\tvar results = [],\n\t\tendOfDivRegExp = /(<\\/div>\\s*)/gi,\n\t\tstartPos = storeAreaEnd,\n\t\tdefaultType = isTiddlyWiki5 ? undefined : \"text/x-tiddlywiki\";\n\tendOfDivRegExp.lastIndex = startPos;\n\tvar match = endOfDivRegExp.exec(text);\n\twhile(match) {\n\t\tvar endPos = endOfDivRegExp.lastIndex,\n\t\t\ttiddlerFields = parseTiddlerDiv(text.substring(startPos,endPos),fields,{type: defaultType});\n\t\tif(!tiddlerFields) {\n\t\t\tbreak;\n\t\t}\n\t\t$tw.utils.each(tiddlerFields,function(value,name) {\n\t\t\tif(typeof value === \"string\") {\n\t\t\t\ttiddlerFields[name] = $tw.utils.htmlDecode(value);\n\t\t\t}\n\t\t});\n\t\tif(tiddlerFields.text !== null) {\n\t\t\tresults.push(tiddlerFields);\n\t\t}\n\t\tstartPos = endPos;\n\t\tmatch = endOfDivRegExp.exec(text);\n\t}\n\treturn results;\n}\n\n})();\n",
"type": "application/javascript",
"module-type": "tiddlerdeserializer"
},
"$:/core/modules/editor/engines/framed.js": {
"title": "$:/core/modules/editor/engines/framed.js",
"text": "/*\\\ntitle: $:/core/modules/editor/engines/framed.js\ntype: application/javascript\nmodule-type: library\n\nText editor engine based on a simple input or textarea within an iframe. This is done so that the selection is preserved even when clicking away from the textarea\n\n\\*/\n(function(){\n\n/*jslint node: true,browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar HEIGHT_VALUE_TITLE = \"$:/config/TextEditor/EditorHeight/Height\";\n\nfunction FramedEngine(options) {\n\t// Save our options\n\toptions = options || {};\n\tthis.widget = options.widget;\n\tthis.value = options.value;\n\tthis.parentNode = options.parentNode;\n\tthis.nextSibling = options.nextSibling;\n\t// Create our hidden dummy text area for reading styles\n\tthis.dummyTextArea = this.widget.document.createElement(\"textarea\");\n\tif(this.widget.editClass) {\n\t\tthis.dummyTextArea.className = this.widget.editClass;\n\t}\n\tthis.dummyTextArea.setAttribute(\"hidden\",\"true\");\n\tthis.parentNode.insertBefore(this.dummyTextArea,this.nextSibling);\n\tthis.widget.domNodes.push(this.dummyTextArea);\n\t// Create the iframe\n\tthis.iframeNode = this.widget.document.createElement(\"iframe\");\n\tthis.parentNode.insertBefore(this.iframeNode,this.nextSibling);\n\tthis.iframeDoc = this.iframeNode.contentWindow.document;\n\t// (Firefox requires us to put some empty content in the iframe)\n\tthis.iframeDoc.open();\n\tthis.iframeDoc.write(\"\");\n\tthis.iframeDoc.close();\n\t// Style the iframe\n\tthis.iframeNode.className = this.dummyTextArea.className;\n\tthis.iframeNode.style.border = \"none\";\n\tthis.iframeNode.style.padding = \"0\";\n\tthis.iframeNode.style.resize = \"none\";\n\tthis.iframeNode.style[\"background-color\"] = this.widget.wiki.extractTiddlerDataItem(this.widget.wiki.getTiddlerText(\"$:/palette\"),\"tiddler-editor-background\");\n\tthis.iframeDoc.body.style.margin = \"0\";\n\tthis.iframeDoc.body.style.padding = \"0\";\n\tthis.widget.domNodes.push(this.iframeNode);\n\t// Construct the textarea or input node\n\tvar tag = this.widget.editTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"input\";\n\t}\n\tthis.domNode = this.iframeDoc.createElement(tag);\n\t// Set the text\n\tif(this.widget.editTag === \"textarea\") {\n\t\tthis.domNode.appendChild(this.iframeDoc.createTextNode(this.value));\n\t} else {\n\t\tthis.domNode.value = this.value;\n\t}\n\t// Set the attributes\n\tif(this.widget.editType) {\n\t\tthis.domNode.setAttribute(\"type\",this.widget.editType);\n\t}\n\tif(this.widget.editPlaceholder) {\n\t\tthis.domNode.setAttribute(\"placeholder\",this.widget.editPlaceholder);\n\t}\n\tif(this.widget.editSize) {\n\t\tthis.domNode.setAttribute(\"size\",this.widget.editSize);\n\t}\n\tif(this.widget.editRows) {\n\t\tthis.domNode.setAttribute(\"rows\",this.widget.editRows);\n\t}\n\tif(this.widget.editTabIndex) {\n\t\tthis.iframeNode.setAttribute(\"tabindex\",this.widget.editTabIndex);\n\t}\n\t// Copy the styles from the dummy textarea\n\tthis.copyStyles();\n\t// Add event listeners\n\t$tw.utils.addEventListeners(this.domNode,[\n\t\t{name: \"click\",handlerObject: this,handlerMethod: \"handleClickEvent\"},\n\t\t{name: \"input\",handlerObject: this,handlerMethod: \"handleInputEvent\"},\n\t\t{name: \"keydown\",handlerObject: this.widget,handlerMethod: \"handleKeydownEvent\"}\n\t]);\n\t// Insert the element into the DOM\n\tthis.iframeDoc.body.appendChild(this.domNode);\n}\n\n/*\nCopy styles from the dummy text area to the textarea in the iframe\n*/\nFramedEngine.prototype.copyStyles = function() {\n\t// Copy all styles\n\t$tw.utils.copyStyles(this.dummyTextArea,this.domNode);\n\t// Override the ones that should not be set the same as the dummy textarea\n\tthis.domNode.style.display = \"block\";\n\tthis.domNode.style.width = \"100%\";\n\tthis.domNode.style.margin = \"0\";\n\tthis.domNode.style[\"background-color\"] = this.widget.wiki.extractTiddlerDataItem(this.widget.wiki.getTiddlerText(\"$:/palette\"),\"tiddler-editor-background\");\n\t// In Chrome setting -webkit-text-fill-color overrides the placeholder text colour\n\tthis.domNode.style[\"-webkit-text-fill-color\"] = \"currentcolor\";\n};\n\n/*\nSet the text of the engine if it doesn't currently have focus\n*/\nFramedEngine.prototype.setText = function(text,type) {\n\tif(!this.domNode.isTiddlyWikiFakeDom) {\n\t\tif(this.domNode.ownerDocument.activeElement !== this.domNode) {\n\t\t\tthis.domNode.value = text;\n\t\t}\n\t\t// Fix the height if needed\n\t\tthis.fixHeight();\n\t}\n};\n\n/*\nGet the text of the engine\n*/\nFramedEngine.prototype.getText = function() {\n\treturn this.domNode.value;\n};\n\n/*\nFix the height of textarea to fit content\n*/\nFramedEngine.prototype.fixHeight = function() {\n\t// Make sure styles are updated\n\tthis.copyStyles();\n\t// Adjust height\n\tif(this.widget.editTag === \"textarea\") {\n\t\tif(this.widget.editAutoHeight) {\n\t\t\tif(this.domNode && !this.domNode.isTiddlyWikiFakeDom) {\n\t\t\t\tvar newHeight = $tw.utils.resizeTextAreaToFit(this.domNode,this.widget.editMinHeight);\n\t\t\t\tthis.iframeNode.style.height = (newHeight + 14) + \"px\"; // +14 for the border on the textarea\n\t\t\t}\n\t\t} else {\n\t\t\tvar fixedHeight = parseInt(this.widget.wiki.getTiddlerText(HEIGHT_VALUE_TITLE,\"400px\"),10);\n\t\t\tfixedHeight = Math.max(fixedHeight,20);\n\t\t\tthis.domNode.style.height = fixedHeight + \"px\";\n\t\t\tthis.iframeNode.style.height = (fixedHeight + 14) + \"px\";\n\t\t}\n\t}\n};\n\n/*\nFocus the engine node\n*/\nFramedEngine.prototype.focus = function() {\n\tif(this.domNode.focus && this.domNode.select) {\n\t\tthis.domNode.focus();\n\t\tthis.domNode.select();\n\t}\n};\n\n/*\nHandle a click\n*/\nFramedEngine.prototype.handleClickEvent = function(event) {\n\tthis.fixHeight();\n\treturn true;\n};\n\n/*\nHandle a dom \"input\" event which occurs when the text has changed\n*/\nFramedEngine.prototype.handleInputEvent = function(event) {\n\tthis.widget.saveChanges(this.getText());\n\tthis.fixHeight();\n\treturn true;\n};\n\n/*\nCreate a blank structure representing a text operation\n*/\nFramedEngine.prototype.createTextOperation = function() {\n\tvar operation = {\n\t\ttext: this.domNode.value,\n\t\tselStart: this.domNode.selectionStart,\n\t\tselEnd: this.domNode.selectionEnd,\n\t\tcutStart: null,\n\t\tcutEnd: null,\n\t\treplacement: null,\n\t\tnewSelStart: null,\n\t\tnewSelEnd: null\n\t};\n\toperation.selection = operation.text.substring(operation.selStart,operation.selEnd);\n\treturn operation;\n};\n\n/*\nExecute a text operation\n*/\nFramedEngine.prototype.executeTextOperation = function(operation) {\n\t// Perform the required changes to the text area and the underlying tiddler\n\tvar newText = operation.text;\n\tif(operation.replacement !== null) {\n\t\tnewText = operation.text.substring(0,operation.cutStart) + operation.replacement + operation.text.substring(operation.cutEnd);\n\t\t// Attempt to use a execCommand to modify the value of the control\n\t\tif(this.iframeDoc.queryCommandSupported(\"insertText\") && this.iframeDoc.queryCommandSupported(\"delete\") && !$tw.browser.isFirefox) {\n\t\t\tthis.domNode.focus();\n\t\t\tthis.domNode.setSelectionRange(operation.cutStart,operation.cutEnd);\n\t\t\tif(operation.replacement === \"\") {\n\t\t\t\tthis.iframeDoc.execCommand(\"delete\",false,\"\");\n\t\t\t} else {\n\t\t\t\tthis.iframeDoc.execCommand(\"insertText\",false,operation.replacement);\n\t\t\t}\n\t\t} else {\n\t\t\tthis.domNode.value = newText;\n\t\t}\n\t\tthis.domNode.focus();\n\t\tthis.domNode.setSelectionRange(operation.newSelStart,operation.newSelEnd);\n\t}\n\tthis.domNode.focus();\n\treturn newText;\n};\n\nexports.FramedEngine = FramedEngine;\n\n})();\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/core/modules/editor/engines/simple.js": {
"title": "$:/core/modules/editor/engines/simple.js",
"text": "/*\\\ntitle: $:/core/modules/editor/engines/simple.js\ntype: application/javascript\nmodule-type: library\n\nText editor engine based on a simple input or textarea tag\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar HEIGHT_VALUE_TITLE = \"$:/config/TextEditor/EditorHeight/Height\";\n\nfunction SimpleEngine(options) {\n\t// Save our options\n\toptions = options || {};\n\tthis.widget = options.widget;\n\tthis.value = options.value;\n\tthis.parentNode = options.parentNode;\n\tthis.nextSibling = options.nextSibling;\n\t// Construct the textarea or input node\n\tvar tag = this.widget.editTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"input\";\n\t}\n\tthis.domNode = this.widget.document.createElement(tag);\n\t// Set the text\n\tif(this.widget.editTag === \"textarea\") {\n\t\tthis.domNode.appendChild(this.widget.document.createTextNode(this.value));\n\t} else {\n\t\tthis.domNode.value = this.value;\n\t}\n\t// Set the attributes\n\tif(this.widget.editType) {\n\t\tthis.domNode.setAttribute(\"type\",this.widget.editType);\n\t}\n\tif(this.widget.editPlaceholder) {\n\t\tthis.domNode.setAttribute(\"placeholder\",this.widget.editPlaceholder);\n\t}\n\tif(this.widget.editSize) {\n\t\tthis.domNode.setAttribute(\"size\",this.widget.editSize);\n\t}\n\tif(this.widget.editRows) {\n\t\tthis.domNode.setAttribute(\"rows\",this.widget.editRows);\n\t}\n\tif(this.widget.editClass) {\n\t\tthis.domNode.className = this.widget.editClass;\n\t}\n\tif(this.widget.editTabIndex) {\n\t\tthis.domNode.setAttribute(\"tabindex\",this.widget.editTabIndex);\n\t}\n\t// Add an input event handler\n\t$tw.utils.addEventListeners(this.domNode,[\n\t\t{name: \"focus\", handlerObject: this, handlerMethod: \"handleFocusEvent\"},\n\t\t{name: \"input\", handlerObject: this, handlerMethod: \"handleInputEvent\"}\n\t]);\n\t// Insert the element into the DOM\n\tthis.parentNode.insertBefore(this.domNode,this.nextSibling);\n\tthis.widget.domNodes.push(this.domNode);\n}\n\n/*\nSet the text of the engine if it doesn't currently have focus\n*/\nSimpleEngine.prototype.setText = function(text,type) {\n\tif(!this.domNode.isTiddlyWikiFakeDom) {\n\t\tif(this.domNode.ownerDocument.activeElement !== this.domNode || text === \"\") {\n\t\t\tthis.domNode.value = text;\n\t\t}\n\t\t// Fix the height if needed\n\t\tthis.fixHeight();\n\t}\n};\n\n/*\nGet the text of the engine\n*/\nSimpleEngine.prototype.getText = function() {\n\treturn this.domNode.value;\n};\n\n/*\nFix the height of textarea to fit content\n*/\nSimpleEngine.prototype.fixHeight = function() {\n\tif(this.widget.editTag === \"textarea\") {\n\t\tif(this.widget.editAutoHeight) {\n\t\t\tif(this.domNode && !this.domNode.isTiddlyWikiFakeDom) {\n\t\t\t\t$tw.utils.resizeTextAreaToFit(this.domNode,this.widget.editMinHeight);\n\t\t\t}\n\t\t} else {\n\t\t\tvar fixedHeight = parseInt(this.widget.wiki.getTiddlerText(HEIGHT_VALUE_TITLE,\"400px\"),10);\n\t\t\tfixedHeight = Math.max(fixedHeight,20);\n\t\t\tthis.domNode.style.height = fixedHeight + \"px\";\n\t\t}\n\t}\n};\n\n/*\nFocus the engine node\n*/\nSimpleEngine.prototype.focus = function() {\n\tif(this.domNode.focus && this.domNode.select) {\n\t\tthis.domNode.focus();\n\t\tthis.domNode.select();\n\t}\n};\n\n/*\nHandle a dom \"input\" event which occurs when the text has changed\n*/\nSimpleEngine.prototype.handleInputEvent = function(event) {\n\tthis.widget.saveChanges(this.getText());\n\tthis.fixHeight();\n\treturn true;\n};\n\n/*\nHandle a dom \"focus\" event\n*/\nSimpleEngine.prototype.handleFocusEvent = function(event) {\n\tif(this.widget.editFocusPopup) {\n\t\t$tw.popup.triggerPopup({\n\t\t\tdomNode: this.domNode,\n\t\t\ttitle: this.widget.editFocusPopup,\n\t\t\twiki: this.widget.wiki,\n\t\t\tforce: true\n\t\t});\n\t}\n\treturn true;\n};\n\n/*\nCreate a blank structure representing a text operation\n*/\nSimpleEngine.prototype.createTextOperation = function() {\n\treturn null;\n};\n\n/*\nExecute a text operation\n*/\nSimpleEngine.prototype.executeTextOperation = function(operation) {\n};\n\nexports.SimpleEngine = SimpleEngine;\n\n})();\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/core/modules/editor/factory.js": {
"title": "$:/core/modules/editor/factory.js",
"text": "/*\\\ntitle: $:/core/modules/editor/factory.js\ntype: application/javascript\nmodule-type: library\n\nFactory for constructing text editor widgets with specified engines for the toolbar and non-toolbar cases\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar DEFAULT_MIN_TEXT_AREA_HEIGHT = \"100px\"; // Minimum height of textareas in pixels\n\n// Configuration tiddlers\nvar HEIGHT_MODE_TITLE = \"$:/config/TextEditor/EditorHeight/Mode\";\nvar ENABLE_TOOLBAR_TITLE = \"$:/config/TextEditor/EnableToolbar\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nfunction editTextWidgetFactory(toolbarEngine,nonToolbarEngine) {\n\n\tvar EditTextWidget = function(parseTreeNode,options) {\n\t\t// Initialise the editor operations if they've not been done already\n\t\tif(!this.editorOperations) {\n\t\t\tEditTextWidget.prototype.editorOperations = {};\n\t\t\t$tw.modules.applyMethods(\"texteditoroperation\",this.editorOperations);\n\t\t}\n\t\tthis.initialise(parseTreeNode,options);\n\t};\n\n\t/*\n\tInherit from the base widget class\n\t*/\n\tEditTextWidget.prototype = new Widget();\n\n\t/*\n\tRender this widget into the DOM\n\t*/\n\tEditTextWidget.prototype.render = function(parent,nextSibling) {\n\t\t// Save the parent dom node\n\t\tthis.parentDomNode = parent;\n\t\t// Compute our attributes\n\t\tthis.computeAttributes();\n\t\t// Execute our logic\n\t\tthis.execute();\n\t\t// Create the wrapper for the toolbar and render its content\n\t\tif(this.editShowToolbar) {\n\t\t\tthis.toolbarNode = this.document.createElement(\"div\");\n\t\t\tthis.toolbarNode.className = \"tc-editor-toolbar\";\n\t\t\tparent.insertBefore(this.toolbarNode,nextSibling);\n\t\t\tthis.renderChildren(this.toolbarNode,null);\n\t\t\tthis.domNodes.push(this.toolbarNode);\n\t\t}\n\t\t// Create our element\n\t\tvar editInfo = this.getEditInfo(),\n\t\t\tEngine = this.editShowToolbar ? toolbarEngine : nonToolbarEngine;\n\t\tthis.engine = new Engine({\n\t\t\t\twidget: this,\n\t\t\t\tvalue: editInfo.value,\n\t\t\t\ttype: editInfo.type,\n\t\t\t\tparentNode: parent,\n\t\t\t\tnextSibling: nextSibling\n\t\t\t});\n\t\t// Call the postRender hook\n\t\tif(this.postRender) {\n\t\t\tthis.postRender();\n\t\t}\n\t\t// Fix height\n\t\tthis.engine.fixHeight();\n\t\t// Focus if required\n\t\tif(this.editFocus === \"true\" || this.editFocus === \"yes\") {\n\t\t\tthis.engine.focus();\n\t\t}\n\t\t// Add widget message listeners\n\t\tthis.addEventListeners([\n\t\t\t{type: \"tm-edit-text-operation\", handler: \"handleEditTextOperationMessage\"}\n\t\t]);\n\t};\n\n\t/*\n\tGet the tiddler being edited and current value\n\t*/\n\tEditTextWidget.prototype.getEditInfo = function() {\n\t\t// Get the edit value\n\t\tvar self = this,\n\t\t\tvalue,\n\t\t\ttype = \"text/plain\",\n\t\t\tupdate;\n\t\tif(this.editIndex) {\n\t\t\tvalue = this.wiki.extractTiddlerDataItem(this.editTitle,this.editIndex,this.editDefault);\n\t\t\tupdate = function(value) {\n\t\t\t\tvar data = self.wiki.getTiddlerData(self.editTitle,{});\n\t\t\t\tif(data[self.editIndex] !== value) {\n\t\t\t\t\tdata[self.editIndex] = value;\n\t\t\t\t\tself.wiki.setTiddlerData(self.editTitle,data);\n\t\t\t\t}\n\t\t\t};\n\t\t} else {\n\t\t\t// Get the current tiddler and the field name\n\t\t\tvar tiddler = this.wiki.getTiddler(this.editTitle);\n\t\t\tif(tiddler) {\n\t\t\t\t// If we've got a tiddler, the value to display is the field string value\n\t\t\t\tvalue = tiddler.getFieldString(this.editField);\n\t\t\t\tif(this.editField === \"text\") {\n\t\t\t\t\ttype = tiddler.fields.type || \"text/vnd.tiddlywiki\";\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\t// Otherwise, we need to construct a default value for the editor\n\t\t\t\tswitch(this.editField) {\n\t\t\t\t\tcase \"text\":\n\t\t\t\t\t\tvalue = \"Type the text for the tiddler '\" + this.editTitle + \"'\";\n\t\t\t\t\t\ttype = \"text/vnd.tiddlywiki\";\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase \"title\":\n\t\t\t\t\t\tvalue = this.editTitle;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tvalue = \"\";\n\t\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t\tif(this.editDefault !== undefined) {\n\t\t\t\t\tvalue = this.editDefault;\n\t\t\t\t}\n\t\t\t}\n\t\t\tupdate = function(value) {\n\t\t\t\tvar tiddler = self.wiki.getTiddler(self.editTitle),\n\t\t\t\t\tupdateFields = {\n\t\t\t\t\t\ttitle: self.editTitle\n\t\t\t\t\t};\n\t\t\t\tupdateFields[self.editField] = value;\n\t\t\t\tself.wiki.addTiddler(new $tw.Tiddler(self.wiki.getCreationFields(),tiddler,updateFields,self.wiki.getModificationFields()));\n\t\t\t};\n\t\t}\n\t\tif(this.editType) {\n\t\t\ttype = this.editType;\n\t\t}\n\t\treturn {value: value || \"\", type: type, update: update};\n\t};\n\n\t/*\n\tHandle an edit text operation message from the toolbar\n\t*/\n\tEditTextWidget.prototype.handleEditTextOperationMessage = function(event) {\n\t\t// Prepare information about the operation\n\t\tvar operation = this.engine.createTextOperation();\n\t\t// Invoke the handler for the selected operation\n\t\tvar handler = this.editorOperations[event.param];\n\t\tif(handler) {\n\t\t\thandler.call(this,event,operation);\n\t\t}\n\t\t// Execute the operation via the engine\n\t\tvar newText = this.engine.executeTextOperation(operation);\n\t\t// Fix the tiddler height and save changes\n\t\tthis.engine.fixHeight();\n\t\tthis.saveChanges(newText);\n\t};\n\n\t/*\n\tCompute the internal state of the widget\n\t*/\n\tEditTextWidget.prototype.execute = function() {\n\t\t// Get our parameters\n\t\tthis.editTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\t\tthis.editField = this.getAttribute(\"field\",\"text\");\n\t\tthis.editIndex = this.getAttribute(\"index\");\n\t\tthis.editDefault = this.getAttribute(\"default\");\n\t\tthis.editClass = this.getAttribute(\"class\");\n\t\tthis.editPlaceholder = this.getAttribute(\"placeholder\");\n\t\tthis.editSize = this.getAttribute(\"size\");\n\t\tthis.editRows = this.getAttribute(\"rows\");\n\t\tthis.editAutoHeight = this.wiki.getTiddlerText(HEIGHT_MODE_TITLE,\"auto\");\n\t\tthis.editAutoHeight = this.getAttribute(\"autoHeight\",this.editAutoHeight === \"auto\" ? \"yes\" : \"no\") === \"yes\";\n\t\tthis.editMinHeight = this.getAttribute(\"minHeight\",DEFAULT_MIN_TEXT_AREA_HEIGHT);\n\t\tthis.editFocusPopup = this.getAttribute(\"focusPopup\");\n\t\tthis.editFocus = this.getAttribute(\"focus\");\n\t\tthis.editTabIndex = this.getAttribute(\"tabindex\");\n\t\t// Get the default editor element tag and type\n\t\tvar tag,type;\n\t\tif(this.editField === \"text\") {\n\t\t\ttag = \"textarea\";\n\t\t} else {\n\t\t\ttag = \"input\";\n\t\t\tvar fieldModule = $tw.Tiddler.fieldModules[this.editField];\n\t\t\tif(fieldModule && fieldModule.editTag) {\n\t\t\t\ttag = fieldModule.editTag;\n\t\t\t}\n\t\t\tif(fieldModule && fieldModule.editType) {\n\t\t\t\ttype = fieldModule.editType;\n\t\t\t}\n\t\t\ttype = type || \"text\";\n\t\t}\n\t\t// Get the rest of our parameters\n\t\tthis.editTag = this.getAttribute(\"tag\",tag) || \"input\";\n\t\tthis.editType = this.getAttribute(\"type\",type);\n\t\t// Make the child widgets\n\t\tthis.makeChildWidgets();\n\t\t// Determine whether to show the toolbar\n\t\tthis.editShowToolbar = this.wiki.getTiddlerText(ENABLE_TOOLBAR_TITLE,\"yes\");\n\t\tthis.editShowToolbar = (this.editShowToolbar === \"yes\") && !!(this.children && this.children.length > 0) && (!this.document.isTiddlyWikiFakeDom);\n\t};\n\n\t/*\n\tSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n\t*/\n\tEditTextWidget.prototype.refresh = function(changedTiddlers) {\n\t\tvar changedAttributes = this.computeAttributes();\n\t\t// Completely rerender if any of our attributes have changed\n\t\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes[\"default\"] || changedAttributes[\"class\"] || changedAttributes.placeholder || changedAttributes.size || changedAttributes.autoHeight || changedAttributes.minHeight || changedAttributes.focusPopup || changedAttributes.rows || changedAttributes.tabindex || changedTiddlers[HEIGHT_MODE_TITLE] || changedTiddlers[ENABLE_TOOLBAR_TITLE]) {\n\t\t\tthis.refreshSelf();\n\t\t\treturn true;\n\t\t} else if(changedTiddlers[this.editTitle]) {\n\t\t\tvar editInfo = this.getEditInfo();\n\t\t\tthis.updateEditor(editInfo.value,editInfo.type);\n\t\t}\n\t\tthis.engine.fixHeight();\n\t\tif(this.editShowToolbar) {\n\t\t\treturn this.refreshChildren(changedTiddlers);\n\t\t} else {\n\t\t\treturn false;\n\t\t}\n\t};\n\n\t/*\n\tUpdate the editor with new text. This method is separate from updateEditorDomNode()\n\tso that subclasses can override updateEditor() and still use updateEditorDomNode()\n\t*/\n\tEditTextWidget.prototype.updateEditor = function(text,type) {\n\t\tthis.updateEditorDomNode(text,type);\n\t};\n\n\t/*\n\tUpdate the editor dom node with new text\n\t*/\n\tEditTextWidget.prototype.updateEditorDomNode = function(text,type) {\n\t\tthis.engine.setText(text,type);\n\t};\n\n\t/*\n\tSave changes back to the tiddler store\n\t*/\n\tEditTextWidget.prototype.saveChanges = function(text) {\n\t\tvar editInfo = this.getEditInfo();\n\t\tif(text !== editInfo.value) {\n\t\t\teditInfo.update(text);\n\t\t}\n\t};\n\n\t/*\n\tHandle a dom \"keydown\" event, which we'll bubble up to our container for the keyboard widgets benefit\n\t*/\n\tEditTextWidget.prototype.handleKeydownEvent = function(event) {\n\t\t// Check for a keyboard shortcut\n\t\tif(this.toolbarNode) {\n\t\t\tvar shortcutElements = this.toolbarNode.querySelectorAll(\"[data-tw-keyboard-shortcut]\");\n\t\t\tfor(var index=0; index<shortcutElements.length; index++) {\n\t\t\t\tvar el = shortcutElements[index],\n\t\t\t\t\tshortcutData = el.getAttribute(\"data-tw-keyboard-shortcut\"),\n\t\t\t\t\tkeyInfoArray = $tw.keyboardManager.parseKeyDescriptors(shortcutData,{\n\t\t\t\t\t\twiki: this.wiki\n\t\t\t\t\t});\n\t\t\t\tif($tw.keyboardManager.checkKeyDescriptors(event,keyInfoArray)) {\n\t\t\t\t\tvar clickEvent = this.document.createEvent(\"Events\");\n\t\t\t\t clickEvent.initEvent(\"click\",true,false);\n\t\t\t\t el.dispatchEvent(clickEvent);\n\t\t\t\t\tevent.preventDefault();\n\t\t\t\t\tevent.stopPropagation();\n\t\t\t\t\treturn true;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\t// Propogate the event to the container\n\t\tif(this.propogateKeydownEvent(event)) {\n\t\t\t// Ignore the keydown if it was already handled\n\t\t\tevent.preventDefault();\n\t\t\tevent.stopPropagation();\n\t\t\treturn true;\n\t\t}\n\t\t// Otherwise, process the keydown normally\n\t\treturn false;\n\t};\n\n\t/*\n\tPropogate keydown events to our container for the keyboard widgets benefit\n\t*/\n\tEditTextWidget.prototype.propogateKeydownEvent = function(event) {\n\t\tvar newEvent = this.document.createEventObject ? this.document.createEventObject() : this.document.createEvent(\"Events\");\n\t\tif(newEvent.initEvent) {\n\t\t\tnewEvent.initEvent(\"keydown\", true, true);\n\t\t}\n\t\tnewEvent.keyCode = event.keyCode;\n\t\tnewEvent.which = event.which;\n\t\tnewEvent.metaKey = event.metaKey;\n\t\tnewEvent.ctrlKey = event.ctrlKey;\n\t\tnewEvent.altKey = event.altKey;\n\t\tnewEvent.shiftKey = event.shiftKey;\n\t\treturn !this.parentDomNode.dispatchEvent(newEvent);\n\t};\n\n\treturn EditTextWidget;\n\n}\n\nexports.editTextWidgetFactory = editTextWidgetFactory;\n\n})();\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/core/modules/editor/operations/bitmap/clear.js": {
"title": "$:/core/modules/editor/operations/bitmap/clear.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/bitmap/clear.js\ntype: application/javascript\nmodule-type: bitmapeditoroperation\n\nBitmap editor operation to clear the image\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"clear\"] = function(event) {\n\tvar ctx = this.canvasDomNode.getContext(\"2d\");\n\tctx.globalAlpha = 1;\n\tctx.fillStyle = event.paramObject.colour || \"white\";\n\tctx.fillRect(0,0,this.canvasDomNode.width,this.canvasDomNode.height);\n\t// Save changes\n\tthis.strokeEnd();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "bitmapeditoroperation"
},
"$:/core/modules/editor/operations/bitmap/resize.js": {
"title": "$:/core/modules/editor/operations/bitmap/resize.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/bitmap/resize.js\ntype: application/javascript\nmodule-type: bitmapeditoroperation\n\nBitmap editor operation to resize the image\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"resize\"] = function(event) {\n\t// Get the new width\n\tvar newWidth = parseInt(event.paramObject.width || this.canvasDomNode.width,10),\n\t\tnewHeight = parseInt(event.paramObject.height || this.canvasDomNode.height,10);\n\t// Update if necessary\n\tif(newWidth > 0 && newHeight > 0 && !(newWidth === this.currCanvas.width && newHeight === this.currCanvas.height)) {\n\t\tthis.changeCanvasSize(newWidth,newHeight);\n\t}\n\t// Update the input controls\n\tthis.refreshToolbar();\n\t// Save the image into the tiddler\n\tthis.saveChanges();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "bitmapeditoroperation"
},
"$:/core/modules/editor/operations/bitmap/rotate-left.js": {
"title": "$:/core/modules/editor/operations/bitmap/rotate-left.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/bitmap/rotate-left.js\ntype: application/javascript\nmodule-type: bitmapeditoroperation\n\nBitmap editor operation to rotate the image left by 90 degrees\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"rotate-left\"] = function(event) {\n\t// Rotate the canvas left by 90 degrees\n\tthis.rotateCanvasLeft();\n\t// Update the input controls\n\tthis.refreshToolbar();\n\t// Save the image into the tiddler\n\tthis.saveChanges();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "bitmapeditoroperation"
},
"$:/core/modules/editor/operations/text/excise.js": {
"title": "$:/core/modules/editor/operations/text/excise.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/excise.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to excise the selection to a new tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"excise\"] = function(event,operation) {\n\tvar editTiddler = this.wiki.getTiddler(this.editTitle),\n\t\teditTiddlerTitle = this.editTitle;\n\tif(editTiddler && editTiddler.fields[\"draft.of\"]) {\n\t\teditTiddlerTitle = editTiddler.fields[\"draft.of\"];\n\t}\n\tvar excisionTitle = event.paramObject.title || this.wiki.generateNewTitle(\"New Excision\");\n\tthis.wiki.addTiddler(new $tw.Tiddler(\n\t\tthis.wiki.getCreationFields(),\n\t\tthis.wiki.getModificationFields(),\n\t\t{\n\t\t\ttitle: excisionTitle,\n\t\t\ttext: operation.selection,\n\t\t\ttags: event.paramObject.tagnew === \"yes\" ? [editTiddlerTitle] : []\n\t\t}\n\t));\n\toperation.replacement = excisionTitle;\n\tswitch(event.paramObject.type || \"transclude\") {\n\t\tcase \"transclude\":\n\t\t\toperation.replacement = \"{{\" + operation.replacement+ \"}}\";\n\t\t\tbreak;\n\t\tcase \"link\":\n\t\t\toperation.replacement = \"[[\" + operation.replacement+ \"]]\";\n\t\t\tbreak;\n\t\tcase \"macro\":\n\t\t\toperation.replacement = \"<<\" + (event.paramObject.macro || \"translink\") + \" \\\"\\\"\\\"\" + operation.replacement + \"\\\"\\\"\\\">>\";\n\t\t\tbreak;\n\t}\n\toperation.cutStart = operation.selStart;\n\toperation.cutEnd = operation.selEnd;\n\toperation.newSelStart = operation.selStart;\n\toperation.newSelEnd = operation.selStart + operation.replacement.length;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/editor/operations/text/make-link.js": {
"title": "$:/core/modules/editor/operations/text/make-link.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/make-link.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to make a link\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"make-link\"] = function(event,operation) {\n\tif(operation.selection) {\n\t\toperation.replacement = \"[[\" + operation.selection + \"|\" + event.paramObject.text + \"]]\";\n\t\toperation.cutStart = operation.selStart;\n\t\toperation.cutEnd = operation.selEnd;\n\t} else {\n\t\toperation.replacement = \"[[\" + event.paramObject.text + \"]]\";\n\t\toperation.cutStart = operation.selStart;\n\t\toperation.cutEnd = operation.selEnd;\n\t}\n\toperation.newSelStart = operation.selStart + operation.replacement.length;\n\toperation.newSelEnd = operation.newSelStart;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/editor/operations/text/prefix-lines.js": {
"title": "$:/core/modules/editor/operations/text/prefix-lines.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/prefix-lines.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to add a prefix to the selected lines\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"prefix-lines\"] = function(event,operation) {\n\tvar targetCount = parseInt(event.paramObject.count + \"\",10);\n\t// Cut just past the preceding line break, or the start of the text\n\toperation.cutStart = $tw.utils.findPrecedingLineBreak(operation.text,operation.selStart);\n\t// Cut to just past the following line break, or to the end of the text\n\toperation.cutEnd = $tw.utils.findFollowingLineBreak(operation.text,operation.selEnd);\n\t// Compose the required prefix\n\tvar prefix = $tw.utils.repeat(event.paramObject.character,targetCount);\n\t// Process each line\n\tvar lines = operation.text.substring(operation.cutStart,operation.cutEnd).split(/\\r?\\n/mg);\n\t$tw.utils.each(lines,function(line,index) {\n\t\t// Remove and count any existing prefix characters\n\t\tvar count = 0;\n\t\twhile(line.charAt(0) === event.paramObject.character) {\n\t\t\tline = line.substring(1);\n\t\t\tcount++;\n\t\t}\n\t\t// Remove any whitespace\n\t\twhile(line.charAt(0) === \" \") {\n\t\t\tline = line.substring(1);\n\t\t}\n\t\t// We're done if we removed the exact required prefix, otherwise add it\n\t\tif(count !== targetCount) {\n\t\t\t// Apply the prefix\n\t\t\tline = prefix + \" \" + line;\n\t\t}\n\t\t// Save the modified line\n\t\tlines[index] = line;\n\t});\n\t// Stitch the replacement text together and set the selection\n\toperation.replacement = lines.join(\"\\n\");\n\tif(lines.length === 1) {\n\t\toperation.newSelStart = operation.cutStart + operation.replacement.length;\n\t\toperation.newSelEnd = operation.newSelStart;\n\t} else {\n\t\toperation.newSelStart = operation.cutStart;\n\t\toperation.newSelEnd = operation.newSelStart + operation.replacement.length;\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/editor/operations/text/replace-all.js": {
"title": "$:/core/modules/editor/operations/text/replace-all.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/replace-all.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to replace the entire text\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"replace-all\"] = function(event,operation) {\n\toperation.cutStart = 0;\n\toperation.cutEnd = operation.text.length;\n\toperation.replacement = event.paramObject.text;\n\toperation.newSelStart = 0;\n\toperation.newSelEnd = operation.replacement.length;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/editor/operations/text/replace-selection.js": {
"title": "$:/core/modules/editor/operations/text/replace-selection.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/replace-selection.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to replace the selection\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"replace-selection\"] = function(event,operation) {\n\toperation.replacement = event.paramObject.text;\n\toperation.cutStart = operation.selStart;\n\toperation.cutEnd = operation.selEnd;\n\toperation.newSelStart = operation.selStart;\n\toperation.newSelEnd = operation.selStart + operation.replacement.length;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/editor/operations/text/save-selection.js": {
"title": "$:/core/modules/editor/operations/text/save-selection.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/save-selection.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to save the current selection in a specified tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"save-selection\"] = function(event,operation) {\n\tvar tiddler = event.paramObject.tiddler,\n\t\tfield = event.paramObject.field || \"text\";\n\tif(tiddler && field) {\n\t\tthis.wiki.setText(tiddler,field,null,operation.text.substring(operation.selStart,operation.selEnd));\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/editor/operations/text/wrap-lines.js": {
"title": "$:/core/modules/editor/operations/text/wrap-lines.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/wrap-lines.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to wrap the selected lines with a prefix and suffix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"wrap-lines\"] = function(event,operation) {\n\t// Cut just past the preceding line break, or the start of the text\n\toperation.cutStart = $tw.utils.findPrecedingLineBreak(operation.text,operation.selStart);\n\t// Cut to just past the following line break, or to the end of the text\n\toperation.cutEnd = $tw.utils.findFollowingLineBreak(operation.text,operation.selEnd);\n\t// Add the prefix and suffix\n\toperation.replacement = event.paramObject.prefix + \"\\n\" +\n\t\t\t\toperation.text.substring(operation.cutStart,operation.cutEnd) + \"\\n\" +\n\t\t\t\tevent.paramObject.suffix + \"\\n\";\n\toperation.newSelStart = operation.cutStart + event.paramObject.prefix.length + 1;\n\toperation.newSelEnd = operation.newSelStart + (operation.cutEnd - operation.cutStart);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/editor/operations/text/wrap-selection.js": {
"title": "$:/core/modules/editor/operations/text/wrap-selection.js",
"text": "/*\\\ntitle: $:/core/modules/editor/operations/text/wrap-selection.js\ntype: application/javascript\nmodule-type: texteditoroperation\n\nText editor operation to wrap the selection with the specified prefix and suffix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports[\"wrap-selection\"] = function(event,operation) {\n\tif(operation.selStart === operation.selEnd) {\n\t\t// No selection; check if we're within the prefix/suffix\n\t\tif(operation.text.substring(operation.selStart - event.paramObject.prefix.length,operation.selStart + event.paramObject.suffix.length) === event.paramObject.prefix + event.paramObject.suffix) {\n\t\t\t// Remove the prefix and suffix\n\t\t\toperation.cutStart = operation.selStart - event.paramObject.prefix.length;\n\t\t\toperation.cutEnd = operation.selEnd + event.paramObject.suffix.length;\n\t\t\toperation.replacement = \"\";\n\t\t\toperation.newSelStart = operation.cutStart;\n\t\t\toperation.newSelEnd = operation.newSelStart;\n\t\t} else {\n\t\t\t// Wrap the cursor instead\n\t\t\toperation.cutStart = operation.selStart;\n\t\t\toperation.cutEnd = operation.selEnd;\n\t\t\toperation.replacement = event.paramObject.prefix + event.paramObject.suffix;\n\t\t\toperation.newSelStart = operation.selStart + event.paramObject.prefix.length;\n\t\t\toperation.newSelEnd = operation.newSelStart;\n\t\t}\n\t} else if(operation.text.substring(operation.selStart,operation.selStart + event.paramObject.prefix.length) === event.paramObject.prefix && operation.text.substring(operation.selEnd - event.paramObject.suffix.length,operation.selEnd) === event.paramObject.suffix) {\n\t\t// Prefix and suffix are already present, so remove them\n\t\toperation.cutStart = operation.selStart;\n\t\toperation.cutEnd = operation.selEnd;\n\t\toperation.replacement = operation.selection.substring(event.paramObject.prefix.length,operation.selection.length - event.paramObject.suffix.length);\n\t\toperation.newSelStart = operation.selStart;\n\t\toperation.newSelEnd = operation.selStart + operation.replacement.length;\n\t} else {\n\t\t// Add the prefix and suffix\n\t\toperation.cutStart = operation.selStart;\n\t\toperation.cutEnd = operation.selEnd;\n\t\toperation.replacement = event.paramObject.prefix + operation.selection + event.paramObject.suffix;\n\t\toperation.newSelStart = operation.selStart;\n\t\toperation.newSelEnd = operation.selStart + operation.replacement.length;\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "texteditoroperation"
},
"$:/core/modules/filters/addprefix.js": {
"title": "$:/core/modules/filters/addprefix.js",
"text": "/*\\\ntitle: $:/core/modules/filters/addprefix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for adding a prefix to each title in the list. This is\nespecially useful in contexts where only a filter expression is allowed\nand macro substitution isn't available.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.addprefix = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(operator.operand + title);\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/addsuffix.js": {
"title": "$:/core/modules/filters/addsuffix.js",
"text": "/*\\\ntitle: $:/core/modules/filters/addsuffix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for adding a suffix to each title in the list. This is\nespecially useful in contexts where only a filter expression is allowed\nand macro substitution isn't available.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.addsuffix = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title + operator.operand);\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/after.js": {
"title": "$:/core/modules/filters/after.js",
"text": "/*\\\ntitle: $:/core/modules/filters/after.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddler from the current list that is after the tiddler named in the operand.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.after = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\tvar index = results.indexOf(operator.operand);\n\tif(index === -1 || index > (results.length - 2)) {\n\t\treturn [];\n\t} else {\n\t\treturn [results[index + 1]];\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/all/current.js": {
"title": "$:/core/modules/filters/all/current.js",
"text": "/*\\\ntitle: $:/core/modules/filters/all/current.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[current]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.current = function(source,prefix,options) {\n\tvar currTiddlerTitle = options.widget && options.widget.getVariable(\"currentTiddler\");\n\tif(currTiddlerTitle) {\n\t\treturn [currTiddlerTitle];\n\t} else {\n\t\treturn [];\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "allfilteroperator"
},
"$:/core/modules/filters/all/missing.js": {
"title": "$:/core/modules/filters/all/missing.js",
"text": "/*\\\ntitle: $:/core/modules/filters/all/missing.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[missing]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.missing = function(source,prefix,options) {\n\treturn options.wiki.getMissingTitles();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "allfilteroperator"
},
"$:/core/modules/filters/all/orphans.js": {
"title": "$:/core/modules/filters/all/orphans.js",
"text": "/*\\\ntitle: $:/core/modules/filters/all/orphans.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[orphans]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.orphans = function(source,prefix,options) {\n\treturn options.wiki.getOrphanTitles();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "allfilteroperator"
},
"$:/core/modules/filters/all/shadows.js": {
"title": "$:/core/modules/filters/all/shadows.js",
"text": "/*\\\ntitle: $:/core/modules/filters/all/shadows.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[shadows]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.shadows = function(source,prefix,options) {\n\treturn options.wiki.allShadowTitles();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "allfilteroperator"
},
"$:/core/modules/filters/all/tags.js": {
"title": "$:/core/modules/filters/all/tags.js",
"text": "/*\\\ntitle: $:/core/modules/filters/all/tags.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[tags]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tags = function(source,prefix,options) {\n\treturn Object.keys(options.wiki.getTagMap());\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "allfilteroperator"
},
"$:/core/modules/filters/all/tiddlers.js": {
"title": "$:/core/modules/filters/all/tiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/filters/all/tiddlers.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[tiddlers]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tiddlers = function(source,prefix,options) {\n\treturn options.wiki.allTitles();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "allfilteroperator"
},
"$:/core/modules/filters/all.js": {
"title": "$:/core/modules/filters/all.js",
"text": "/*\\\ntitle: $:/core/modules/filters/all.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for selecting tiddlers\n\n[all[shadows+tiddlers]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar allFilterOperators;\n\nfunction getAllFilterOperators() {\n\tif(!allFilterOperators) {\n\t\tallFilterOperators = {};\n\t\t$tw.modules.applyMethods(\"allfilteroperator\",allFilterOperators);\n\t}\n\treturn allFilterOperators;\n}\n\n/*\nExport our filter function\n*/\nexports.all = function(source,operator,options) {\n\t// Get our suboperators\n\tvar allFilterOperators = getAllFilterOperators();\n\t// Cycle through the suboperators accumulating their results\n\tvar results = [],\n\t\tsubops = operator.operand.split(\"+\");\n\t// Check for common optimisations\n\tif(subops.length === 1 && subops[0] === \"\") {\n\t\treturn source;\n\t} else if(subops.length === 1 && subops[0] === \"tiddlers\") {\n\t\treturn options.wiki.each;\n\t} else if(subops.length === 1 && subops[0] === \"shadows\") {\n\t\treturn options.wiki.eachShadow;\n\t} else if(subops.length === 2 && subops[0] === \"tiddlers\" && subops[1] === \"shadows\") {\n\t\treturn options.wiki.eachTiddlerPlusShadows;\n\t} else if(subops.length === 2 && subops[0] === \"shadows\" && subops[1] === \"tiddlers\") {\n\t\treturn options.wiki.eachShadowPlusTiddlers;\n\t}\n\t// Do it the hard way\n\tfor(var t=0; t<subops.length; t++) {\n\t\tvar subop = allFilterOperators[subops[t]];\n\t\tif(subop) {\n\t\t\t$tw.utils.pushTop(results,subop(source,operator.prefix,options));\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/backlinks.js": {
"title": "$:/core/modules/filters/backlinks.js",
"text": "/*\\\ntitle: $:/core/modules/filters/backlinks.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning all the backlinks from a tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.backlinks = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.pushTop(results,options.wiki.getTiddlerBacklinks(title));\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/before.js": {
"title": "$:/core/modules/filters/before.js",
"text": "/*\\\ntitle: $:/core/modules/filters/before.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddler from the current list that is before the tiddler named in the operand.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.before = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\tvar index = results.indexOf(operator.operand);\n\tif(index <= 0) {\n\t\treturn [];\n\t} else {\n\t\treturn [results[index - 1]];\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/commands.js": {
"title": "$:/core/modules/filters/commands.js",
"text": "/*\\\ntitle: $:/core/modules/filters/commands.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the commands available in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.commands = function(source,operator,options) {\n\tvar results = [];\n\t$tw.utils.each($tw.commands,function(commandInfo,name) {\n\t\tresults.push(name);\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/compare.js": {
"title": "$:/core/modules/filters/compare.js",
"text": "/*\\\ntitle: $:/core/modules/filters/compare.js\ntype: application/javascript\nmodule-type: filteroperator\n\nGeneral purpose comparison operator\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.compare = function(source,operator,options) {\n\tvar suffixes = operator.suffixes || [],\n\t\ttype = (suffixes[0] || [])[0],\n\t\tmode = (suffixes[1] || [])[0],\n\t\ttypeFn = types[type] || types.number,\n\t\tmodeFn = modes[mode] || modes.eq,\n\t\tinvert = operator.prefix === \"!\",\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tif(modeFn(typeFn(title,operator.operand)) !== invert) {\n\t\t\tresults.push(title);\n\t\t}\n\t});\n\treturn results;\n};\n\nvar types = {\n\t\"number\": function(a,b) {\n\t\treturn compare($tw.utils.parseNumber(a),$tw.utils.parseNumber(b));\n\t},\n\t\"integer\": function(a,b) {\n\t\treturn compare($tw.utils.parseInt(a),$tw.utils.parseInt(b));\n\t},\n\t\"string\": function(a,b) {\n\t\treturn compare(\"\" + a,\"\" +b);\n\t},\n\t\"date\": function(a,b) {\n\t\tvar dateA = $tw.utils.parseDate(a),\n\t\t\tdateB = $tw.utils.parseDate(b);\n\t\tif(!isFinite(dateA)) {\n\t\t\tdateA = new Date(0);\n\t\t}\n\t\tif(!isFinite(dateB)) {\n\t\t\tdateB = new Date(0);\n\t\t}\n\t\treturn compare(dateA,dateB);\n\t},\n\t\"version\": function(a,b) {\n\t\treturn $tw.utils.compareVersions(a,b);\n\t}\n};\n\nfunction compare(a,b) {\n\tif(a > b) {\n\t\treturn +1;\n\t} else if(a < b) {\n\t\treturn -1;\n\t} else {\n\t\treturn 0;\n\t}\n};\n\nvar modes = {\n\t\"eq\": function(value) {return value === 0;},\n\t\"ne\": function(value) {return value !== 0;},\n\t\"gteq\": function(value) {return value >= 0;},\n\t\"gt\": function(value) {return value > 0;},\n\t\"lteq\": function(value) {return value <= 0;},\n\t\"lt\": function(value) {return value < 0;}\n}\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/contains.js": {
"title": "$:/core/modules/filters/contains.js",
"text": "/*\\\ntitle: $:/core/modules/filters/contains.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for finding values in array fields\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.contains = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldname = (operator.suffix || \"list\").toLowerCase();\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler) {\n\t\t\t\tvar list = tiddler.getFieldList(fieldname);\n\t\t\t\tif(list.indexOf(operator.operand) === -1) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler) {\n\t\t\t\tvar list = tiddler.getFieldList(fieldname);\n\t\t\t\tif(list.indexOf(operator.operand) !== -1) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/count.js": {
"title": "$:/core/modules/filters/count.js",
"text": "/*\\\ntitle: $:/core/modules/filters/count.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the number of entries in the current list.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.count = function(source,operator,options) {\n\tvar count = 0;\n\tsource(function(tiddler,title) {\n\t\tcount++;\n\t});\n\treturn [count + \"\"];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/days.js": {
"title": "$:/core/modules/filters/days.js",
"text": "/*\\\ntitle: $:/core/modules/filters/days.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that selects tiddlers with a specified date field within a specified date interval.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.days = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldName = operator.suffix || \"modified\",\n\t\tdayInterval = (parseInt(operator.operand,10)||0),\n\t\tdayIntervalSign = $tw.utils.sign(dayInterval),\n\t\ttargetTimeStamp = (new Date()).setHours(0,0,0,0) + 1000*60*60*24*dayInterval,\n\t\tisWithinDays = function(dateField) {\n\t\t\tvar sign = $tw.utils.sign(targetTimeStamp - (new Date(dateField)).setHours(0,0,0,0));\n\t\t\treturn sign === 0 || sign === dayIntervalSign;\n\t\t};\n\n\tif(operator.prefix === \"!\") {\n\t\ttargetTimeStamp = targetTimeStamp - 1000*60*60*24*dayIntervalSign;\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && tiddler.fields[fieldName]) {\n\t\t\t\tif(!isWithinDays($tw.utils.parseDate(tiddler.fields[fieldName]))) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && tiddler.fields[fieldName]) {\n\t\t\t\tif(isWithinDays($tw.utils.parseDate(tiddler.fields[fieldName]))) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/each.js": {
"title": "$:/core/modules/filters/each.js",
"text": "/*\\\ntitle: $:/core/modules/filters/each.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that selects one tiddler for each unique value of the specified field.\nWith suffix \"list\", selects all tiddlers that are values in a specified list field.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.each = function(source,operator,options) {\n\tvar results =[] ,\n\tvalue,values = {},\n\tfield = operator.operand || \"title\";\n\tif(operator.suffix === \"value\" && field === \"title\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!$tw.utils.hop(values,title)) {\n\t\t\t\tvalues[title] = true;\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else if(operator.suffix !== \"list-item\") {\n\t\tif(field === \"title\") {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler && !$tw.utils.hop(values,title)) {\n\t\t\t\t\tvalues[title] = true;\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvalue = tiddler.getFieldString(field);\n\t\t\t\t\tif(!$tw.utils.hop(values,value)) {\n\t\t\t\t\t\tvalues[value] = true;\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler) {\n\t\t\t\t$tw.utils.each(\n\t\t\t\t\toptions.wiki.getTiddlerList(title,field),\n\t\t\t\t\tfunction(value) {\n\t\t\t\t\t\tif(!$tw.utils.hop(values,value)) {\n\t\t\t\t\t\t\tvalues[value] = true;\n\t\t\t\t\t\t\tresults.push(value);\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/eachday.js": {
"title": "$:/core/modules/filters/eachday.js",
"text": "/*\\\ntitle: $:/core/modules/filters/eachday.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that selects one tiddler for each unique day covered by the specified date field\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.eachday = function(source,operator,options) {\n\tvar results = [],\n\t\tvalues = [],\n\t\tfieldName = operator.operand || \"modified\";\n\t// Function to convert a date/time to a date integer\n\tvar toDate = function(value) {\n\t\tvalue = (new Date(value)).setHours(0,0,0,0);\n\t\treturn value+0;\n\t};\n\tsource(function(tiddler,title) {\n\t\tif(tiddler && tiddler.fields[fieldName]) {\n\t\t\tvar value = toDate($tw.utils.parseDate(tiddler.fields[fieldName]));\n\t\t\tif(values.indexOf(value) === -1) {\n\t\t\t\tvalues.push(value);\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/editiondescription.js": {
"title": "$:/core/modules/filters/editiondescription.js",
"text": "/*\\\ntitle: $:/core/modules/filters/editiondescription.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the descriptions of the specified edition names\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.editiondescription = function(source,operator,options) {\n\tvar results = [],\n\t\teditionInfo = $tw.utils.getEditionInfo();\n\tif(editionInfo) {\n\t\tsource(function(tiddler,title) {\n\t\t\tif($tw.utils.hop(editionInfo,title)) {\n\t\t\t\tresults.push(editionInfo[title].description || \"\");\t\t\t\t\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/editions.js": {
"title": "$:/core/modules/filters/editions.js",
"text": "/*\\\ntitle: $:/core/modules/filters/editions.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the available editions in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.editions = function(source,operator,options) {\n\tvar results = [],\n\t\teditionInfo = $tw.utils.getEditionInfo();\n\tif(editionInfo) {\n\t\t$tw.utils.each(editionInfo,function(info,name) {\n\t\t\tresults.push(name);\n\t\t});\n\t}\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/else.js": {
"title": "$:/core/modules/filters/else.js",
"text": "/*\\\ntitle: $:/core/modules/filters/else.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for replacing an empty input list with a constant, passing a non-empty input list straight through\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.else = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\tif(results.length === 0) {\n\t\treturn [operator.operand];\n\t} else {\n\t\treturn results;\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/decodeuricomponent.js": {
"title": "$:/core/modules/filters/decodeuricomponent.js",
"text": "/*\\\ntitle: $:/core/modules/filters/decodeuricomponent.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for applying decodeURIComponent() to each item.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter functions\n*/\n\nexports.decodeuricomponent = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar value = title;\n\t\ttry {\n\t\t\tvalue = decodeURIComponent(title);\n\t\t} catch(e) {\n\t\t}\n\t\tresults.push(value);\n\t});\n\treturn results;\n};\n\nexports.encodeuricomponent = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(encodeURIComponent(title));\n\t});\n\treturn results;\n};\n\nexports.decodeuri = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar value = title;\n\t\ttry {\n\t\t\tvalue = decodeURI(title);\n\t\t} catch(e) {\n\t\t}\n\t\tresults.push(value);\n\t});\n\treturn results;\n};\n\nexports.encodeuri = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(encodeURI(title));\n\t});\n\treturn results;\n};\n\nexports.decodehtml = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.htmlDecode(title));\n\t});\n\treturn results;\n};\n\nexports.encodehtml = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.htmlEncode(title));\n\t});\n\treturn results;\n};\n\nexports.stringify = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.stringify(title));\n\t});\n\treturn results;\n};\n\nexports.jsonstringify = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.jsonStringify(title));\n\t});\n\treturn results;\n};\n\nexports.escaperegexp = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push($tw.utils.escapeRegExp(title));\n\t});\n\treturn results;\n};\n\nexports.escapecss = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t// escape any character with a special meaning in CSS using CSS.escape()\n\t\tresults.push(CSS.escape(title));\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/enlist.js": {
"title": "$:/core/modules/filters/enlist.js",
"text": "/*\\\ntitle: $:/core/modules/filters/enlist.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning its operand parsed as a list\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.enlist = function(source,operator,options) {\n\tvar allowDuplicates = false;\n\tswitch(operator.suffix) {\n\t\tcase \"raw\":\n\t\t\tallowDuplicates = true;\n\t\t\tbreak;\n\t\tcase \"dedupe\":\n\t\t\tallowDuplicates = false;\n\t\t\tbreak;\n\t}\n\tvar list = $tw.utils.parseStringArray(operator.operand,allowDuplicates);\n\tif(operator.prefix === \"!\") {\n\t\tvar results = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tif(list.indexOf(title) === -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t\treturn results;\n\t} else {\n\t\treturn list;\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/field.js": {
"title": "$:/core/modules/filters/field.js",
"text": "/*\\\ntitle: $:/core/modules/filters/field.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for comparing fields for equality\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.field = function(source,operator,options) {\n\tvar results = [],indexedResults,\n\t\tfieldname = (operator.suffix || operator.operator || \"title\").toLowerCase();\n\tif(operator.prefix === \"!\") {\n\t\tif(operator.regexp) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvar text = tiddler.getFieldString(fieldname);\n\t\t\t\t\tif(text !== null && !operator.regexp.exec(text)) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvar text = tiddler.getFieldString(fieldname);\n\t\t\t\t\tif(text !== null && text !== operator.operand) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t} else {\n\t\tif(operator.regexp) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvar text = tiddler.getFieldString(fieldname);\n\t\t\t\t\tif(text !== null && !!operator.regexp.exec(text)) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tif(source.byField && operator.operand) {\n\t\t\t\tindexedResults = source.byField(fieldname,operator.operand);\n\t\t\t\tif(indexedResults) {\n\t\t\t\t\treturn indexedResults\n\t\t\t\t}\n\t\t\t}\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvar text = tiddler.getFieldString(fieldname);\n\t\t\t\t\tif(text !== null && text === operator.operand) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/fields.js": {
"title": "$:/core/modules/filters/fields.js",
"text": "/*\\\ntitle: $:/core/modules/filters/fields.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the fields on the selected tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.fields = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldName,\n\t\tsuffixes = (operator.suffixes || [])[0] || [],\n\t\toperand = $tw.utils.parseStringArray(operator.operand);\n\t\n\tsource(function(tiddler,title) {\n\t\tif(tiddler) {\n\t\t\tif(suffixes.indexOf(\"include\") !== -1) {\n\t\t\t\tfor(fieldName in tiddler.fields) {\n\t\t\t\t\t(operand.indexOf(fieldName) !== -1) ? $tw.utils.pushTop(results,fieldName) : \"\";\n\t\t\t\t}\n\t\t\t} else if (suffixes.indexOf(\"exclude\") !== -1) {\n\t\t\t\tfor(fieldName in tiddler.fields) {\n\t\t\t\t\t(operand.indexOf(fieldName) !== -1) ? \"\" : $tw.utils.pushTop(results,fieldName);\n\t\t\t\t}\n\t\t\t} // else if\n\t\t\telse {\n\t\t\t\tfor(fieldName in tiddler.fields) {\n\t\t\t\t\t$tw.utils.pushTop(results,fieldName);\n\t\t\t\t}\n\t\t\t} // else\n\t\t} // if (tiddler)\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/get.js": {
"title": "$:/core/modules/filters/get.js",
"text": "/*\\\ntitle: $:/core/modules/filters/get.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for replacing tiddler titles by the value of the field specified in the operand.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.get = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tif(tiddler) {\n\t\t\tvar value = tiddler.getFieldString(operator.operand);\n\t\t\tif(value) {\n\t\t\t\tresults.push(value);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/getindex.js": {
"title": "$:/core/modules/filters/getindex.js",
"text": "/*\\\ntitle: $:/core/modules/filters/getindex.js\ntype: application/javascript\nmodule-type: filteroperator\n\nreturns the value at a given index of datatiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.getindex = function(source,operator,options) {\n\tvar data,title,results = [];\n\tif(operator.operand){\n\t\tsource(function(tiddler,title) {\n\t\t\ttitle = tiddler ? tiddler.fields.title : title;\n\t\t\tdata = options.wiki.extractTiddlerDataItem(tiddler,operator.operand);\n\t\t\tif(data) {\n\t\t\t\tresults.push(data);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/getvariable.js": {
"title": "$:/core/modules/filters/getvariable.js",
"text": "/*\\\ntitle: $:/core/modules/filters/getvariable.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for replacing input values by the value of the variable with the same name, or blank if the variable is missing\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.getvariable = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(options.widget.getVariable(title) || \"\");\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/has.js": {
"title": "$:/core/modules/filters/has.js",
"text": "/*\\\ntitle: $:/core/modules/filters/has.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking if a tiddler has the specified field or index\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.has = function(source,operator,options) {\n\tvar results = [],\n\t\tinvert = operator.prefix === \"!\";\n\n\tif(operator.suffix === \"field\") {\n\t\tif(invert) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(!tiddler || (tiddler && (!$tw.utils.hop(tiddler.fields,operator.operand)))) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler && $tw.utils.hop(tiddler.fields,operator.operand)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t}\n\telse if(operator.suffix === \"index\") {\n\t\tif(invert) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(!tiddler || (tiddler && (!$tw.utils.hop($tw.wiki.getTiddlerDataCached(tiddler,Object.create(null)),operator.operand)))) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler && $tw.utils.hop($tw.wiki.getTiddlerDataCached(tiddler,Object.create(null)),operator.operand)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t}\n\telse {\n\t\tif(invert) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(!tiddler || !$tw.utils.hop(tiddler.fields,operator.operand) || (tiddler.fields[operator.operand] === \"\")) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler && $tw.utils.hop(tiddler.fields,operator.operand) && !(tiddler.fields[operator.operand] === \"\" || tiddler.fields[operator.operand].length === 0)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\t\t\t\t\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/haschanged.js": {
"title": "$:/core/modules/filters/haschanged.js",
"text": "/*\\\ntitle: $:/core/modules/filters/haschanged.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returns tiddlers from the list that have a non-zero changecount.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.haschanged = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.getChangeCount(title) === 0) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.getChangeCount(title) > 0) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/indexes.js": {
"title": "$:/core/modules/filters/indexes.js",
"text": "/*\\\ntitle: $:/core/modules/filters/indexes.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the indexes of a data tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.indexes = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar data = options.wiki.getTiddlerDataCached(title);\n\t\tif(data) {\n\t\t\t$tw.utils.pushTop(results,Object.keys(data));\n\t\t}\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/insertbefore.js": {
"title": "$:/core/modules/filters/insertbefore.js",
"text": "/*\\\ntitle: $:/core/modules/filters/insertbefore.js\ntype: application/javascript\nmodule-type: filteroperator\n\nInsert an item before another item in a list\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nOrder a list\n*/\nexports.insertbefore = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\tvar target = options.widget && options.widget.getVariable(operator.suffix || \"currentTiddler\");\n\tif(target !== operator.operand) {\n\t\t// Remove the entry from the list if it is present\n\t\tvar pos = results.indexOf(operator.operand);\n\t\tif(pos !== -1) {\n\t\t\tresults.splice(pos,1);\n\t\t}\n\t\t// Insert the entry before the target marker\n\t\tpos = results.indexOf(target);\n\t\tif(pos !== -1) {\n\t\t\tresults.splice(pos,0,operator.operand);\n\t\t} else {\n\t\t\tresults.push(operator.operand);\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/is/binary.js": {
"title": "$:/core/modules/filters/is/binary.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/binary.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[binary]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.binary = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.isBinaryTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.isBinaryTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/blank.js": {
"title": "$:/core/modules/filters/is/blank.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/blank.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[blank]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.blank = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!title) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/current.js": {
"title": "$:/core/modules/filters/is/current.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/current.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[current]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.current = function(source,prefix,options) {\n\tvar results = [],\n\t\tcurrTiddlerTitle = options.widget && options.widget.getVariable(\"currentTiddler\");\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title !== currTiddlerTitle) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title === currTiddlerTitle) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/image.js": {
"title": "$:/core/modules/filters/is/image.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/image.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[image]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.image = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.isImageTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.isImageTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/missing.js": {
"title": "$:/core/modules/filters/is/missing.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/missing.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[missing]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.missing = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.tiddlerExists(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.tiddlerExists(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/orphan.js": {
"title": "$:/core/modules/filters/is/orphan.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/orphan.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[orphan]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.orphan = function(source,prefix,options) {\n\tvar results = [],\n\t\torphanTitles = options.wiki.getOrphanTitles();\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(orphanTitles.indexOf(title) === -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(orphanTitles.indexOf(title) !== -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/shadow.js": {
"title": "$:/core/modules/filters/is/shadow.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/shadow.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[shadow]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.shadow = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.isShadowTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.isShadowTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/system.js": {
"title": "$:/core/modules/filters/is/system.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/system.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[system]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.system = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.isSystemTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.isSystemTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/tag.js": {
"title": "$:/core/modules/filters/is/tag.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/tag.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[tag]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tag = function(source,prefix,options) {\n\tvar results = [],\n\t\ttagMap = options.wiki.getTagMap();\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!$tw.utils.hop(tagMap,title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif($tw.utils.hop(tagMap,title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/tiddler.js": {
"title": "$:/core/modules/filters/is/tiddler.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/tiddler.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[tiddler]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tiddler = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.tiddlerExists(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.tiddlerExists(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/variable.js": {
"title": "$:/core/modules/filters/is/variable.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is/variable.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[variable]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.variable = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!(title in options.widget.variables)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title in options.widget.variables) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is.js": {
"title": "$:/core/modules/filters/is.js",
"text": "/*\\\ntitle: $:/core/modules/filters/is.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking tiddler properties\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar isFilterOperators;\n\nfunction getIsFilterOperators() {\n\tif(!isFilterOperators) {\n\t\tisFilterOperators = {};\n\t\t$tw.modules.applyMethods(\"isfilteroperator\",isFilterOperators);\n\t}\n\treturn isFilterOperators;\n}\n\n/*\nExport our filter function\n*/\nexports.is = function(source,operator,options) {\n\t// Dispatch to the correct isfilteroperator\n\tvar isFilterOperators = getIsFilterOperators();\n\tif(operator.operand) {\n\t\tvar isFilterOperator = isFilterOperators[operator.operand];\n\t\tif(isFilterOperator) {\n\t\t\treturn isFilterOperator(source,operator.prefix,options);\n\t\t} else {\n\t\t\treturn [$tw.language.getString(\"Error/IsFilterOperator\")];\n\t\t}\n\t} else {\n\t\t// Return all tiddlers if the operand is missing\n\t\tvar results = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tresults.push(title);\n\t\t});\n\t\treturn results;\n\t}\n};\n\n})();",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/limit.js": {
"title": "$:/core/modules/filters/limit.js",
"text": "/*\\\ntitle: $:/core/modules/filters/limit.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for chopping the results to a specified maximum number of entries\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.limit = function(source,operator,options) {\n\tvar results = [];\n\t// Convert to an array\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\t// Slice the array if necessary\n\tvar limit = Math.min(results.length,parseInt(operator.operand,10));\n\tif(operator.prefix === \"!\") {\n\t\tresults = results.slice(-limit);\n\t} else {\n\t\tresults = results.slice(0,limit);\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/links.js": {
"title": "$:/core/modules/filters/links.js",
"text": "/*\\\ntitle: $:/core/modules/filters/links.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning all the links from a tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.links = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.pushTop(results,options.wiki.getTiddlerLinks(title));\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/list.js": {
"title": "$:/core/modules/filters/list.js",
"text": "/*\\\ntitle: $:/core/modules/filters/list.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddlers whose title is listed in the operand tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.list = function(source,operator,options) {\n\tvar results = [],\n\t\ttr = $tw.utils.parseTextReference(operator.operand),\n\t\tcurrTiddlerTitle = options.widget && options.widget.getVariable(\"currentTiddler\"),\n\t\tlist = options.wiki.getTiddlerList(tr.title || currTiddlerTitle,tr.field,tr.index);\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(list.indexOf(title) === -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tresults = list;\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/listed.js": {
"title": "$:/core/modules/filters/listed.js",
"text": "/*\\\ntitle: $:/core/modules/filters/listed.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning all tiddlers that have the selected tiddlers in a list\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.listed = function(source,operator,options) {\n\tvar field = operator.operand || \"list\",\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.pushTop(results,options.wiki.findListingsOfTiddler(title,field));\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/listops.js": {
"title": "$:/core/modules/filters/listops.js",
"text": "/*\\\ntitle: $:/core/modules/filters/listops.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operators for manipulating the current selection list\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nOrder a list\n*/\nexports.order = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.operand.toLowerCase() === \"reverse\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tresults.unshift(title);\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tresults.push(title);\n\t\t});\n\t}\n\treturn results;\n};\n\n/*\nReverse list\n*/\nexports.reverse = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.unshift(title);\n\t});\n\treturn results;\n};\n\n/*\nFirst entry/entries in list\n*/\nexports.first = function(source,operator,options) {\n\tvar count = $tw.utils.getInt(operator.operand,1),\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(0,count);\n};\n\n/*\nLast entry/entries in list\n*/\nexports.last = function(source,operator,options) {\n\tvar count = $tw.utils.getInt(operator.operand,1),\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(-count);\n};\n\n/*\nAll but the first entry/entries of the list\n*/\nexports.rest = function(source,operator,options) {\n\tvar count = $tw.utils.getInt(operator.operand,1),\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(count);\n};\nexports.butfirst = exports.rest;\nexports.bf = exports.rest;\n\n/*\nAll but the last entry/entries of the list\n*/\nexports.butlast = function(source,operator,options) {\n\tvar count = $tw.utils.getInt(operator.operand,1),\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(0,-count);\n};\nexports.bl = exports.butlast;\n\n/*\nThe nth member of the list\n*/\nexports.nth = function(source,operator,options) {\n\tvar count = $tw.utils.getInt(operator.operand,1),\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(count - 1,count);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/lookup.js": {
"title": "$:/core/modules/filters/lookup.js",
"text": "/*\\\ntitle: $:/core/modules/filters/lookup.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that looks up values via a title prefix\n\n[lookup:<field>[<prefix>]]\n\nPrepends the prefix to the selected items and returns the specified field value\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.lookup = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(options.wiki.getTiddlerText(operator.operand + title) || options.wiki.getTiddlerText(operator.operand + operator.suffix));\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/match.js": {
"title": "$:/core/modules/filters/match.js",
"text": "/*\\\ntitle: $:/core/modules/filters/match.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking if a title matches a string\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.match = function(source,operator,options) {\n\tvar results = [],\n\t\tsuffixes = (operator.suffixes || [])[0] || [];\n\tif(suffixes.indexOf(\"caseinsensitive\") !== -1) {\n\t\tif(operator.prefix === \"!\") {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(title.toLowerCase() !== (operator.operand || \"\").toLowerCase()) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(title.toLowerCase() === (operator.operand || \"\").toLowerCase()) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t} else {\n\t\tif(operator.prefix === \"!\") {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(title !== operator.operand) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(title === operator.operand) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/math.js": {
"title": "$:/core/modules/filters/math.js",
"text": "/*\\\ntitle: $:/core/modules/filters/math.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operators for math. Unary/binary operators work on each item in turn, and return a new item list.\n\nSum/product/maxall/minall operate on the entire list, returning a single item.\n\nNote that strings are converted to numbers automatically. Trailing non-digits are ignored.\n\n* \"\" converts to 0\n* \"12kk\" converts to 12\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.negate = makeNumericBinaryOperator(\n\tfunction(a) {return -a}\n);\n\nexports.abs = makeNumericBinaryOperator(\n\tfunction(a) {return Math.abs(a)}\n);\n\nexports.ceil = makeNumericBinaryOperator(\n\tfunction(a) {return Math.ceil(a)}\n);\n\nexports.floor = makeNumericBinaryOperator(\n\tfunction(a) {return Math.floor(a)}\n);\n\nexports.round = makeNumericBinaryOperator(\n\tfunction(a) {return Math.round(a)}\n);\n\nexports.trunc = makeNumericBinaryOperator(\n\tfunction(a) {return Math.trunc(a)}\n);\n\nexports.untrunc = makeNumericBinaryOperator(\n\tfunction(a) {return Math.ceil(Math.abs(a)) * Math.sign(a)}\n);\n\nexports.sign = makeNumericBinaryOperator(\n\tfunction(a) {return Math.sign(a)}\n);\n\nexports.add = makeNumericBinaryOperator(\n\tfunction(a,b) {return a + b;}\n);\n\nexports.subtract = makeNumericBinaryOperator(\n\tfunction(a,b) {return a - b;}\n);\n\nexports.multiply = makeNumericBinaryOperator(\n\tfunction(a,b) {return a * b;}\n);\n\nexports.divide = makeNumericBinaryOperator(\n\tfunction(a,b) {return a / b;}\n);\n\nexports.remainder = makeNumericBinaryOperator(\n\tfunction(a,b) {return a % b;}\n);\n\nexports.max = makeNumericBinaryOperator(\n\tfunction(a,b) {return Math.max(a,b);}\n);\n\nexports.min = makeNumericBinaryOperator(\n\tfunction(a,b) {return Math.min(a,b);}\n);\n\nexports.fixed = makeNumericBinaryOperator(\n\tfunction(a,b) {return Number.prototype.toFixed.call(a,Math.min(Math.max(b,0),100));}\n);\n\nexports.precision = makeNumericBinaryOperator(\n\tfunction(a,b) {return Number.prototype.toPrecision.call(a,Math.min(Math.max(b,1),100));}\n);\n\nexports.exponential = makeNumericBinaryOperator(\n\tfunction(a,b) {return Number.prototype.toExponential.call(a,Math.min(Math.max(b,0),100));}\n);\n\nexports.sum = makeNumericReducingOperator(\n\tfunction(accumulator,value) {return accumulator + value},\n\t0 // Initial value\n);\n\nexports.product = makeNumericReducingOperator(\n\tfunction(accumulator,value) {return accumulator * value},\n\t1 // Initial value\n);\n\nexports.maxall = makeNumericReducingOperator(\n\tfunction(accumulator,value) {return Math.max(accumulator,value)},\n\t-Infinity // Initial value\n);\n\nexports.minall = makeNumericReducingOperator(\n\tfunction(accumulator,value) {return Math.min(accumulator,value)},\n\tInfinity // Initial value\n);\n\nfunction makeNumericBinaryOperator(fnCalc) {\n\treturn function(source,operator,options) {\n\t\tvar result = [],\n\t\t\tnumOperand = $tw.utils.parseNumber(operator.operand);\n\t\tsource(function(tiddler,title) {\n\t\t\tresult.push($tw.utils.stringifyNumber(fnCalc($tw.utils.parseNumber(title),numOperand)));\n\t\t});\n\t\treturn result;\n\t};\n}\n\nfunction makeNumericReducingOperator(fnCalc,initialValue) {\n\tinitialValue = initialValue || 0;\n\treturn function(source,operator,options) {\n\t\tvar result = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tresult.push(title);\n\t\t});\n\t\treturn [$tw.utils.stringifyNumber(result.reduce(function(accumulator,currentValue) {\n\t\t\treturn fnCalc(accumulator,$tw.utils.parseNumber(currentValue));\n\t\t},initialValue))];\n\t};\n}\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/minlength.js": {
"title": "$:/core/modules/filters/minlength.js",
"text": "/*\\\ntitle: $:/core/modules/filters/minlength.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for filtering out titles that don't meet the minimum length in the operand\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.minlength = function(source,operator,options) {\n\tvar results = [],\n\t\tminLength = parseInt(operator.operand || \"\",10) || 0;\n\tsource(function(tiddler,title) {\n\t\tif(title.length >= minLength) {\n\t\t\tresults.push(title);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/modules.js": {
"title": "$:/core/modules/filters/modules.js",
"text": "/*\\\ntitle: $:/core/modules/filters/modules.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the titles of the modules of a given type in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.modules = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.each($tw.modules.types[title],function(moduleInfo,moduleName) {\n\t\t\tresults.push(moduleName);\n\t\t});\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/moduletypes.js": {
"title": "$:/core/modules/filters/moduletypes.js",
"text": "/*\\\ntitle: $:/core/modules/filters/moduletypes.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the module types in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.moduletypes = function(source,operator,options) {\n\tvar results = [];\n\t$tw.utils.each($tw.modules.types,function(moduleInfo,type) {\n\t\tresults.push(type);\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/next.js": {
"title": "$:/core/modules/filters/next.js",
"text": "/*\\\ntitle: $:/core/modules/filters/next.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddler whose title occurs next in the list supplied in the operand tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.next = function(source,operator,options) {\n\tvar results = [],\n\t\tlist = options.wiki.getTiddlerList(operator.operand);\n\tsource(function(tiddler,title) {\n\t\tvar match = list.indexOf(title);\n\t\t// increment match and then test if result is in range\n\t\tmatch++;\n\t\tif(match > 0 && match < list.length) {\n\t\t\tresults.push(list[match]);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/plugintiddlers.js": {
"title": "$:/core/modules/filters/plugintiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/filters/plugintiddlers.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the titles of the shadow tiddlers within a plugin\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.plugintiddlers = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar pluginInfo = options.wiki.getPluginInfo(title) || options.wiki.getTiddlerDataCached(title,{tiddlers:[]});\n\t\tif(pluginInfo && pluginInfo.tiddlers) {\n\t\t\t$tw.utils.each(pluginInfo.tiddlers,function(fields,title) {\n\t\t\t\tresults.push(title);\n\t\t\t});\n\t\t}\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/prefix.js": {
"title": "$:/core/modules/filters/prefix.js",
"text": "/*\\\ntitle: $:/core/modules/filters/prefix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking if a title starts with a prefix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.prefix = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title.substr(0,operator.operand.length) !== operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title.substr(0,operator.operand.length) === operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/previous.js": {
"title": "$:/core/modules/filters/previous.js",
"text": "/*\\\ntitle: $:/core/modules/filters/previous.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddler whose title occurs immediately prior in the list supplied in the operand tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.previous = function(source,operator,options) {\n\tvar results = [],\n\t\tlist = options.wiki.getTiddlerList(operator.operand);\n\tsource(function(tiddler,title) {\n\t\tvar match = list.indexOf(title);\n\t\t// increment match and then test if result is in range\n\t\tmatch--;\n\t\tif(match >= 0) {\n\t\t\tresults.push(list[match]);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/range.js": {
"title": "$:/core/modules/filters/range.js",
"text": "/*\\\ntitle: $:/core/modules/filters/range.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for generating a numeric range.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.range = function(source,operator,options) {\n\tvar results = [];\n\t// Split the operand into numbers delimited by these symbols\n\tvar parts = operator.operand.split(/[,:;]/g),\n\t\tbeg, end, inc, i, fixed = 0;\n\tfor (i=0; i<parts.length; i++) {\n\t\t// Validate real number\n\t\tif(!/^\\s*[+-]?((\\d+(\\.\\d*)?)|(\\.\\d+))\\s*$/.test(parts[i])) {\n\t\t\treturn [\"range: bad number \\\"\" + parts[i] + \"\\\"\"];\n\t\t}\n\t\t// Count digits; the most precise number determines decimal places in output.\n\t\tvar frac = /\\.\\d+/.exec(parts[i]);\n\t\tif(frac) {\n\t\t\tfixed = Math.max(fixed,frac[0].length-1);\n\t\t}\n\t\tparts[i] = parseFloat(parts[i]);\n\t}\n\tswitch(parts.length) {\n\t\tcase 1:\n\t\t\tend = parts[0];\n\t\t\tif (end >= 1) {\n\t\t\t\tbeg = 1;\n\t\t\t}\n\t\t\telse if (end <= -1) {\n\t\t\t\tbeg = -1;\n\t\t\t}\n\t\t\telse {\n\t\t\t\treturn [];\n\t\t\t}\n\t\t\tinc = 1;\n\t\t\tbreak;\n\t\tcase 2:\n\t\t\tbeg = parts[0];\n\t\t\tend = parts[1];\n\t\t\tinc = 1;\n\t\t\tbreak;\n\t\tcase 3:\n\t\t\tbeg = parts[0];\n\t\t\tend = parts[1];\n\t\t\tinc = Math.abs(parts[2]);\n\t\t\tbreak;\n\t}\n\tif(inc === 0) {\n\t\treturn [\"range: increment 0 causes infinite loop\"];\n\t}\n\t// May need to count backwards\n\tvar direction = ((end < beg) ? -1 : 1);\n\tinc *= direction;\n\t// Estimate number of resulting elements\n\tif((end - beg) / inc > 10000) {\n\t\treturn [\"range: too many steps (over 10K)\"];\n\t}\n\t// Avoid rounding error on last step\n\tend += direction * 0.5 * Math.pow(0.1,fixed);\n\tvar safety = 10010;\n\t// Enumerate the range\n\tif (end<beg) {\n\t\tfor(i=beg; i>end; i+=inc) {\n\t\t\tresults.push(i.toFixed(fixed));\n\t\t\tif(--safety<0) {\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t} else {\n\t\tfor(i=beg; i<end; i+=inc) {\n\t\t\tresults.push(i.toFixed(fixed));\n\t\t\tif(--safety<0) {\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t}\n\tif(safety<0) {\n\t\treturn [\"range: unexpectedly large output\"];\n\t}\n\t// Reverse?\n\tif(operator.prefix === \"!\") {\n\t\tresults.reverse();\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/regexp.js": {
"title": "$:/core/modules/filters/regexp.js",
"text": "/*\\\ntitle: $:/core/modules/filters/regexp.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for regexp matching\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.regexp = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldname = (operator.suffix || \"title\").toLowerCase(),\n\t\tregexpString, regexp, flags = \"\", match,\n\t\tgetFieldString = function(tiddler,title) {\n\t\t\tif(tiddler) {\n\t\t\t\treturn tiddler.getFieldString(fieldname);\n\t\t\t} else if(fieldname === \"title\") {\n\t\t\t\treturn title;\n\t\t\t} else {\n\t\t\t\treturn null;\n\t\t\t}\n\t\t};\n\t// Process flags and construct regexp\n\tregexpString = operator.operand;\n\tmatch = /^\\(\\?([gim]+)\\)/.exec(regexpString);\n\tif(match) {\n\t\tflags = match[1];\n\t\tregexpString = regexpString.substr(match[0].length);\n\t} else {\n\t\tmatch = /\\(\\?([gim]+)\\)$/.exec(regexpString);\n\t\tif(match) {\n\t\t\tflags = match[1];\n\t\t\tregexpString = regexpString.substr(0,regexpString.length - match[0].length);\n\t\t}\n\t}\n\ttry {\n\t\tregexp = new RegExp(regexpString,flags);\n\t} catch(e) {\n\t\treturn [\"\" + e];\n\t}\n\t// Process the incoming tiddlers\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tvar text = getFieldString(tiddler,title);\n\t\t\tif(text !== null) {\n\t\t\t\tif(!regexp.exec(text)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tvar text = getFieldString(tiddler,title);\n\t\t\tif(text !== null) {\n\t\t\t\tif(!!regexp.exec(text)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/removeprefix.js": {
"title": "$:/core/modules/filters/removeprefix.js",
"text": "/*\\\ntitle: $:/core/modules/filters/removeprefix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for removing a prefix from each title in the list. Titles that do not start with the prefix are removed.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.removeprefix = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tif(title.substr(0,operator.operand.length) === operator.operand) {\n\t\t\tresults.push(title.substr(operator.operand.length));\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/removesuffix.js": {
"title": "$:/core/modules/filters/removesuffix.js",
"text": "/*\\\ntitle: $:/core/modules/filters/removesuffix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for removing a suffix from each title in the list. Titles that do not end with the suffix are removed.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.removesuffix = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tif(title && title.substr(-operator.operand.length) === operator.operand) {\n\t\t\tresults.push(title.substr(0,title.length - operator.operand.length));\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/sameday.js": {
"title": "$:/core/modules/filters/sameday.js",
"text": "/*\\\ntitle: $:/core/modules/filters/sameday.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that selects tiddlers with a modified date field on the same day as the provided value.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.sameday = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldName = operator.suffix || \"modified\",\n\t\ttargetDate = (new Date($tw.utils.parseDate(operator.operand))).setHours(0,0,0,0);\n\t// Function to convert a date/time to a date integer\n\tsource(function(tiddler,title) {\n\t\tif(tiddler) {\n\t\t\tif(tiddler.getFieldDay(fieldName) === targetDate) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/search.js": {
"title": "$:/core/modules/filters/search.js",
"text": "/*\\\ntitle: $:/core/modules/filters/search.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for searching for the text in the operand tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.search = function(source,operator,options) {\n\tvar invert = operator.prefix === \"!\";\n\tif(operator.suffixes) {\n\t\tvar hasFlag = function(flag) {\n\t\t\t\treturn (operator.suffixes[1] || []).indexOf(flag) !== -1;\n\t\t\t},\n\t\t\texcludeFields = false,\n\t\t\tfieldList = operator.suffixes[0] || [],\n\t\t\tfirstField = fieldList[0] || \"\", \n\t\t\tfirstChar = firstField.charAt(0),\n\t\t\tfields;\n\t\tif(firstChar === \"-\") {\n\t\t\tfields = [firstField.slice(1)].concat(fieldList.slice(1));\n\t\t\texcludeFields = true;\n\t\t} else if(fieldList[0] === \"*\"){\n\t\t\tfields = [];\n\t\t\texcludeFields = true;\n\t\t} else {\n\t\t\tfields = fieldList.slice(0);\n\t\t}\n\t\treturn options.wiki.search(operator.operand,{\n\t\t\tsource: source,\n\t\t\tinvert: invert,\n\t\t\tfield: fields,\n\t\t\texcludeField: excludeFields,\n\t\t\tcaseSensitive: hasFlag(\"casesensitive\"),\n\t\t\tliteral: hasFlag(\"literal\"),\n\t\t\twhitespace: hasFlag(\"whitespace\"),\n\t\t\tanchored: hasFlag(\"anchored\"),\n\t\t\tregexp: hasFlag(\"regexp\"),\n\t\t\twords: hasFlag(\"words\")\n\t\t});\n\t} else {\n\t\treturn options.wiki.search(operator.operand,{\n\t\t\tsource: source,\n\t\t\tinvert: invert\n\t\t});\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/shadowsource.js": {
"title": "$:/core/modules/filters/shadowsource.js",
"text": "/*\\\ntitle: $:/core/modules/filters/shadowsource.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the source plugins for shadow tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.shadowsource = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar source = options.wiki.getShadowSource(title);\n\t\tif(source) {\n\t\t\t$tw.utils.pushTop(results,source);\n\t\t}\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/sort.js": {
"title": "$:/core/modules/filters/sort.js",
"text": "/*\\\ntitle: $:/core/modules/filters/sort.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for sorting\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.sort = function(source,operator,options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results,operator.operand || \"title\",operator.prefix === \"!\",false,false);\n\treturn results;\n};\n\nexports.nsort = function(source,operator,options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results,operator.operand || \"title\",operator.prefix === \"!\",false,true);\n\treturn results;\n};\n\nexports.sortan = function(source, operator, options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results, operator.operand || \"title\", operator.prefix === \"!\",false,false,true);\n\treturn results;\n};\n\nexports.sortcs = function(source,operator,options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results,operator.operand || \"title\",operator.prefix === \"!\",true,false);\n\treturn results;\n};\n\nexports.nsortcs = function(source,operator,options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results,operator.operand || \"title\",operator.prefix === \"!\",true,true);\n\treturn results;\n};\n\nvar prepare_results = function (source) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/splitbefore.js": {
"title": "$:/core/modules/filters/splitbefore.js",
"text": "/*\\\ntitle: $:/core/modules/filters/splitbefore.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that splits each result on the first occurance of the specified separator and returns the unique values.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.splitbefore = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar parts = title.split(operator.operand);\n\t\tif(parts.length === 1) {\n\t\t\t$tw.utils.pushTop(results,parts[0]);\n\t\t} else {\n\t\t\t$tw.utils.pushTop(results,parts[0] + operator.operand);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/storyviews.js": {
"title": "$:/core/modules/filters/storyviews.js",
"text": "/*\\\ntitle: $:/core/modules/filters/storyviews.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the story views in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.storyviews = function(source,operator,options) {\n\tvar results = [],\n\t\tstoryviews = {};\n\t$tw.modules.applyMethods(\"storyview\",storyviews);\n\t$tw.utils.each(storyviews,function(info,name) {\n\t\tresults.push(name);\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/strings.js": {
"title": "$:/core/modules/filters/strings.js",
"text": "/*\\\ntitle: $:/core/modules/filters/strings.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operators for strings. Unary/binary operators work on each item in turn, and return a new item list.\n\nSum/product/maxall/minall operate on the entire list, returning a single item.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.length = makeStringBinaryOperator(\n\tfunction(a) {return [\"\" + (\"\" + a).length];}\n);\n\nexports.uppercase = makeStringBinaryOperator(\n\tfunction(a) {return [(\"\" + a).toUpperCase()];}\n);\n\nexports.lowercase = makeStringBinaryOperator(\n\tfunction(a) {return [(\"\" + a).toLowerCase()];}\n);\n\nexports.sentencecase = makeStringBinaryOperator(\n\tfunction(a) {return [$tw.utils.toSentenceCase(a)];}\n);\n\nexports.titlecase = makeStringBinaryOperator(\n\tfunction(a) {return [$tw.utils.toTitleCase(a)];}\n);\n\nexports.trim = makeStringBinaryOperator(\n\tfunction(a) {return [$tw.utils.trim(a)];}\n);\n\nexports.split = makeStringBinaryOperator(\n\tfunction(a,b) {return (\"\" + a).split(b);}\n);\n\nexports.join = makeStringReducingOperator(\n\tfunction(accumulator,value,operand) {\n\t\tif(accumulator === null) {\n\t\t\treturn value;\n\t\t} else {\n\t\t\treturn accumulator + operand + value;\n\t\t}\n\t},null\n);\n\nfunction makeStringBinaryOperator(fnCalc) {\n\treturn function(source,operator,options) {\n\t\tvar result = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tArray.prototype.push.apply(result,fnCalc(title,operator.operand || \"\"));\n\t\t});\n\t\treturn result;\n\t};\n}\n\nfunction makeStringReducingOperator(fnCalc,initialValue) {\n\treturn function(source,operator,options) {\n\t\tvar result = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tresult.push(title);\n\t\t});\n\t\treturn [result.reduce(function(accumulator,currentValue) {\n\t\t\treturn fnCalc(accumulator,currentValue,operator.operand || \"\");\n\t\t},initialValue) || \"\"];\n\t};\n}\n\nexports.splitregexp = function(source,operator,options) {\n\tvar result = [],\n\t\tsuffix = operator.suffix || \"\",\n\t\tflags = (suffix.indexOf(\"m\") !== -1 ? \"m\" : \"\") + (suffix.indexOf(\"i\") !== -1 ? \"i\" : \"\"),\n\t\tregExp;\n\ttry {\n\t\tregExp = new RegExp(operator.operand || \"\",flags);\t\t\n\t} catch(ex) {\n\t\treturn [\"RegExp error: \" + ex];\n\t}\n\tsource(function(tiddler,title) {\n\t\tArray.prototype.push.apply(result,title.split(regExp));\n\t});\t\t\n\treturn result;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/subfilter.js": {
"title": "$:/core/modules/filters/subfilter.js",
"text": "/*\\\ntitle: $:/core/modules/filters/subfilter.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning its operand evaluated as a filter\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.subfilter = function(source,operator,options) {\n\tvar list = options.wiki.filterTiddlers(operator.operand,options.widget,source);\n\tif(operator.prefix === \"!\") {\n\t\tvar results = [];\n\t\tsource(function(tiddler,title) {\n\t\t\tif(list.indexOf(title) === -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t\treturn results;\n\t} else {\n\t\treturn list;\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/subtiddlerfields.js": {
"title": "$:/core/modules/filters/subtiddlerfields.js",
"text": "/*\\\ntitle: $:/core/modules/filters/subtiddlerfields.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the fields on the selected subtiddlers of the plugin named in the operand\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.subtiddlerfields = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar subtiddler = options.wiki.getSubTiddler(operator.operand,title);\n\t\tif(subtiddler) {\n\t\t\tfor(var fieldName in subtiddler.fields) {\n\t\t\t\t$tw.utils.pushTop(results,fieldName);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/suffix.js": {
"title": "$:/core/modules/filters/suffix.js",
"text": "/*\\\ntitle: $:/core/modules/filters/suffix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking if a title ends with a suffix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.suffix = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title.substr(-operator.operand.length) !== operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title.substr(-operator.operand.length) === operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/tag.js": {
"title": "$:/core/modules/filters/tag.js",
"text": "/*\\\ntitle: $:/core/modules/filters/tag.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking for the presence of a tag\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tag = function(source,operator,options) {\n\tvar results = [],indexedResults;\n\tif((operator.suffix || \"\").toLowerCase() === \"strict\" && !operator.operand) {\n\t\t// New semantics:\n\t\t// Always return copy of input if operator.operand is missing\n\t\tsource(function(tiddler,title) {\n\t\t\tresults.push(title);\n\t\t});\n\t} else {\n\t\t// Old semantics:\n\t\tvar tiddlers;\n\t\tif(operator.prefix === \"!\") {\n\t\t\t// Returns a copy of the input if operator.operand is missing\n\t\t\ttiddlers = options.wiki.getTiddlersWithTag(operator.operand);\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddlers.indexOf(title) === -1) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\t// Returns empty results if operator.operand is missing\n\t\t\tif(source.byTag) {\n\t\t\t\tindexedResults = source.byTag(operator.operand);\n\t\t\t\tif(indexedResults) {\n\t\t\t\t\treturn indexedResults;\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\ttiddlers = options.wiki.getTiddlersWithTag(operator.operand);\n\t\t\t\tsource(function(tiddler,title) {\n\t\t\t\t\tif(tiddlers.indexOf(title) !== -1) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t\tresults = options.wiki.sortByList(results,operator.operand);\n\t\t\t}\n\t\t}\t\t\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/tagging.js": {
"title": "$:/core/modules/filters/tagging.js",
"text": "/*\\\ntitle: $:/core/modules/filters/tagging.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning all tiddlers that are tagged with the selected tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tagging = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.pushTop(results,options.wiki.getTiddlersWithTag(title));\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/tags.js": {
"title": "$:/core/modules/filters/tags.js",
"text": "/*\\\ntitle: $:/core/modules/filters/tags.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning all the tags of the selected tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tags = function(source,operator,options) {\n\tvar tags = {};\n\tsource(function(tiddler,title) {\n\t\tvar t, length;\n\t\tif(tiddler && tiddler.fields.tags) {\n\t\t\tfor(t=0, length=tiddler.fields.tags.length; t<length; t++) {\n\t\t\t\ttags[tiddler.fields.tags[t]] = true;\n\t\t\t}\n\t\t}\n\t});\n\treturn Object.keys(tags);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/then.js": {
"title": "$:/core/modules/filters/then.js",
"text": "/*\\\ntitle: $:/core/modules/filters/then.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for replacing any titles with a constant\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.then = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(operator.operand);\n\t});\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/title.js": {
"title": "$:/core/modules/filters/title.js",
"text": "/*\\\ntitle: $:/core/modules/filters/title.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for comparing title fields for equality\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.title = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && tiddler.fields.title !== operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tresults.push(operator.operand);\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/untagged.js": {
"title": "$:/core/modules/filters/untagged.js",
"text": "/*\\\ntitle: $:/core/modules/filters/untagged.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning all the selected tiddlers that are untagged\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.untagged = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && $tw.utils.isArray(tiddler.fields.tags) && tiddler.fields.tags.length > 0) {\n\t\t\t\t$tw.utils.pushTop(results,title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!tiddler || !tiddler.hasField(\"tags\") || ($tw.utils.isArray(tiddler.fields.tags) && tiddler.fields.tags.length === 0)) {\n\t\t\t\t$tw.utils.pushTop(results,title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/variables.js": {
"title": "$:/core/modules/filters/variables.js",
"text": "/*\\\ntitle: $:/core/modules/filters/variables.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the active variables\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.variables = function(source,operator,options) {\n\tvar names = [];\n\tfor(var variable in options.widget.variables) {\n\t\tnames.push(variable);\n\t}\n\treturn names.sort();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/wikiparserrules.js": {
"title": "$:/core/modules/filters/wikiparserrules.js",
"text": "/*\\\ntitle: $:/core/modules/filters/wikiparserrules.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the wiki parser rules in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.wikiparserrules = function(source,operator,options) {\n\tvar results = [],\n\t\toperand = operator.operand;\n\t$tw.utils.each($tw.modules.types.wikirule,function(mod) {\n\t\tvar exp = mod.exports;\n\t\tif(!operand || exp.types[operand]) {\n\t\t\tresults.push(exp.name);\n\t\t}\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/x-listops.js": {
"title": "$:/core/modules/filters/x-listops.js",
"text": "/*\\\ntitle: $:/core/modules/filters/x-listops.js\ntype: application/javascript\nmodule-type: filteroperator\n\nExtended filter operators to manipulate the current list.\n\n\\*/\n(function () {\n\n /*jslint node: true, browser: true */\n /*global $tw: false */\n \"use strict\";\n\n /*\n Fetch titles from the current list\n */\n var prepare_results = function (source) {\n var results = [];\n source(function (tiddler, title) {\n results.push(title);\n });\n return results;\n };\n\n /*\n Moves a number of items from the tail of the current list before the item named in the operand\n */\n exports.putbefore = function (source, operator) {\n var results = prepare_results(source),\n index = results.indexOf(operator.operand),\n count = $tw.utils.getInt(operator.suffix,1);\n return (index === -1) ?\n results.slice(0, -1) :\n results.slice(0, index).concat(results.slice(-count)).concat(results.slice(index, -count));\n };\n\n /*\n Moves a number of items from the tail of the current list after the item named in the operand\n */\n exports.putafter = function (source, operator) {\n var results = prepare_results(source),\n index = results.indexOf(operator.operand),\n count = $tw.utils.getInt(operator.suffix,1);\n return (index === -1) ?\n results.slice(0, -1) :\n results.slice(0, index + 1).concat(results.slice(-count)).concat(results.slice(index + 1, -count));\n };\n\n /*\n Replaces the item named in the operand with a number of items from the tail of the current list\n */\n exports.replace = function (source, operator) {\n var results = prepare_results(source),\n index = results.indexOf(operator.operand),\n count = $tw.utils.getInt(operator.suffix,1);\n return (index === -1) ?\n results.slice(0, -count) :\n results.slice(0, index).concat(results.slice(-count)).concat(results.slice(index + 1, -count));\n };\n\n /*\n Moves a number of items from the tail of the current list to the head of the list\n */\n exports.putfirst = function (source, operator) {\n var results = prepare_results(source),\n count = $tw.utils.getInt(operator.suffix,1);\n return results.slice(-count).concat(results.slice(0, -count));\n };\n\n /*\n Moves a number of items from the head of the current list to the tail of the list\n */\n exports.putlast = function (source, operator) {\n var results = prepare_results(source),\n count = $tw.utils.getInt(operator.suffix,1);\n return results.slice(count).concat(results.slice(0, count));\n };\n\n /*\n Moves the item named in the operand a number of places forward or backward in the list\n */\n exports.move = function (source, operator) {\n var results = prepare_results(source),\n index = results.indexOf(operator.operand),\n count = $tw.utils.getInt(operator.suffix,1),\n marker = results.splice(index, 1),\n offset = (index + count) > 0 ? index + count : 0;\n return results.slice(0, offset).concat(marker).concat(results.slice(offset));\n };\n\n /*\n Returns the items from the current list that are after the item named in the operand\n */\n exports.allafter = function (source, operator) {\n var results = prepare_results(source),\n index = results.indexOf(operator.operand);\n return (index === -1) ? [] :\n (operator.suffix) ? results.slice(index) :\n results.slice(index + 1);\n };\n\n /*\n Returns the items from the current list that are before the item named in the operand\n */\n exports.allbefore = function (source, operator) {\n var results = prepare_results(source),\n index = results.indexOf(operator.operand);\n return (index === -1) ? [] :\n (operator.suffix) ? results.slice(0, index + 1) :\n results.slice(0, index);\n };\n\n /*\n Appends the items listed in the operand array to the tail of the current list\n */\n exports.append = function (source, operator) {\n var append = $tw.utils.parseStringArray(operator.operand, \"true\"),\n results = prepare_results(source),\n count = parseInt(operator.suffix) || append.length;\n return (append.length === 0) ? results :\n (operator.prefix) ? results.concat(append.slice(-count)) :\n results.concat(append.slice(0, count));\n };\n\n /*\n Prepends the items listed in the operand array to the head of the current list\n */\n exports.prepend = function (source, operator) {\n var prepend = $tw.utils.parseStringArray(operator.operand, \"true\"),\n results = prepare_results(source),\n count = $tw.utils.getInt(operator.suffix,prepend.length);\n return (prepend.length === 0) ? results :\n (operator.prefix) ? prepend.slice(-count).concat(results) :\n prepend.slice(0, count).concat(results);\n };\n\n /*\n Returns all items from the current list except the items listed in the operand array\n */\n exports.remove = function (source, operator) {\n var array = $tw.utils.parseStringArray(operator.operand, \"true\"),\n results = prepare_results(source),\n count = parseInt(operator.suffix) || array.length,\n p,\n len,\n index;\n len = array.length - 1;\n for (p = 0; p < count; ++p) {\n if (operator.prefix) {\n index = results.indexOf(array[len - p]);\n } else {\n index = results.indexOf(array[p]);\n }\n if (index !== -1) {\n results.splice(index, 1);\n }\n }\n return results;\n };\n\n /*\n Returns all items from the current list sorted in the order of the items in the operand array\n */\n exports.sortby = function (source, operator) {\n var results = prepare_results(source);\n if (!results || results.length < 2) {\n return results;\n }\n var lookup = $tw.utils.parseStringArray(operator.operand, \"true\");\n results.sort(function (a, b) {\n return lookup.indexOf(a) - lookup.indexOf(b);\n });\n return results;\n };\n\n /*\n Removes all duplicate items from the current list\n */\n exports.unique = function (source, operator) {\n var results = prepare_results(source);\n var set = results.reduce(function (a, b) {\n if (a.indexOf(b) < 0) {\n a.push(b);\n }\n return a;\n }, []);\n return set;\n };\n})();\n",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters.js": {
"title": "$:/core/modules/filters.js",
"text": "/*\\\ntitle: $:/core/modules/filters.js\ntype: application/javascript\nmodule-type: wikimethod\n\nAdds tiddler filtering methods to the $tw.Wiki object.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nParses an operation (i.e. a run) within a filter string\n\toperators: Array of array of operator nodes into which results should be inserted\n\tfilterString: filter string\n\tp: start position within the string\nReturns the new start position, after the parsed operation\n*/\nfunction parseFilterOperation(operators,filterString,p) {\n\tvar nextBracketPos, operator;\n\t// Skip the starting square bracket\n\tif(filterString.charAt(p++) !== \"[\") {\n\t\tthrow \"Missing [ in filter expression\";\n\t}\n\t// Process each operator in turn\n\tdo {\n\t\toperator = {};\n\t\t// Check for an operator prefix\n\t\tif(filterString.charAt(p) === \"!\") {\n\t\t\toperator.prefix = filterString.charAt(p++);\n\t\t}\n\t\t// Get the operator name\n\t\tnextBracketPos = filterString.substring(p).search(/[\\[\\{<\\/]/);\n\t\tif(nextBracketPos === -1) {\n\t\t\tthrow \"Missing [ in filter expression\";\n\t\t}\n\t\tnextBracketPos += p;\n\t\tvar bracket = filterString.charAt(nextBracketPos);\n\t\toperator.operator = filterString.substring(p,nextBracketPos);\n\t\t// Any suffix?\n\t\tvar colon = operator.operator.indexOf(':');\n\t\tif(colon > -1) {\n\t\t\t// The raw suffix for older filters\n\t\t\toperator.suffix = operator.operator.substring(colon + 1);\n\t\t\toperator.operator = operator.operator.substring(0,colon) || \"field\";\n\t\t\t// The processed suffix for newer filters\n\t\t\toperator.suffixes = [];\n\t\t\t$tw.utils.each(operator.suffix.split(\":\"),function(subsuffix) {\n\t\t\t\toperator.suffixes.push([]);\n\t\t\t\t$tw.utils.each(subsuffix.split(\",\"),function(entry) {\n\t\t\t\t\tentry = $tw.utils.trim(entry);\n\t\t\t\t\tif(entry) {\n\t\t\t\t\t\toperator.suffixes[operator.suffixes.length - 1].push(entry); \n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t});\n\t\t}\n\t\t// Empty operator means: title\n\t\telse if(operator.operator === \"\") {\n\t\t\toperator.operator = \"title\";\n\t\t}\n\n\t\tp = nextBracketPos + 1;\n\t\tswitch (bracket) {\n\t\t\tcase \"{\": // Curly brackets\n\t\t\t\toperator.indirect = true;\n\t\t\t\tnextBracketPos = filterString.indexOf(\"}\",p);\n\t\t\t\tbreak;\n\t\t\tcase \"[\": // Square brackets\n\t\t\t\tnextBracketPos = filterString.indexOf(\"]\",p);\n\t\t\t\tbreak;\n\t\t\tcase \"<\": // Angle brackets\n\t\t\t\toperator.variable = true;\n\t\t\t\tnextBracketPos = filterString.indexOf(\">\",p);\n\t\t\t\tbreak;\n\t\t\tcase \"/\": // regexp brackets\n\t\t\t\tvar rex = /^((?:[^\\\\\\/]*|\\\\.)*)\\/(?:\\(([mygi]+)\\))?/g,\n\t\t\t\t\trexMatch = rex.exec(filterString.substring(p));\n\t\t\t\tif(rexMatch) {\n\t\t\t\t\toperator.regexp = new RegExp(rexMatch[1], rexMatch[2]);\n// DEPRECATION WARNING\nconsole.log(\"WARNING: Filter\",operator.operator,\"has a deprecated regexp operand\",operator.regexp);\n\t\t\t\t\tnextBracketPos = p + rex.lastIndex - 1;\n\t\t\t\t}\n\t\t\t\telse {\n\t\t\t\t\tthrow \"Unterminated regular expression in filter expression\";\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t}\n\n\t\tif(nextBracketPos === -1) {\n\t\t\tthrow \"Missing closing bracket in filter expression\";\n\t\t}\n\t\tif(!operator.regexp) {\n\t\t\toperator.operand = filterString.substring(p,nextBracketPos);\n\t\t}\n\t\tp = nextBracketPos + 1;\n\n\t\t// Push this operator\n\t\toperators.push(operator);\n\t} while(filterString.charAt(p) !== \"]\");\n\t// Skip the ending square bracket\n\tif(filterString.charAt(p++) !== \"]\") {\n\t\tthrow \"Missing ] in filter expression\";\n\t}\n\t// Return the parsing position\n\treturn p;\n}\n\n/*\nParse a filter string\n*/\nexports.parseFilter = function(filterString) {\n\tfilterString = filterString || \"\";\n\tvar results = [], // Array of arrays of operator nodes {operator:,operand:}\n\t\tp = 0, // Current position in the filter string\n\t\tmatch;\n\tvar whitespaceRegExp = /(\\s+)/mg,\n\t\toperandRegExp = /((?:\\+|\\-|~|=)?)(?:(\\[)|(?:\"([^\"]*)\")|(?:'([^']*)')|([^\\s\\[\\]]+))/mg;\n\twhile(p < filterString.length) {\n\t\t// Skip any whitespace\n\t\twhitespaceRegExp.lastIndex = p;\n\t\tmatch = whitespaceRegExp.exec(filterString);\n\t\tif(match && match.index === p) {\n\t\t\tp = p + match[0].length;\n\t\t}\n\t\t// Match the start of the operation\n\t\tif(p < filterString.length) {\n\t\t\toperandRegExp.lastIndex = p;\n\t\t\tmatch = operandRegExp.exec(filterString);\n\t\t\tif(!match || match.index !== p) {\n\t\t\t\tthrow $tw.language.getString(\"Error/FilterSyntax\");\n\t\t\t}\n\t\t\tvar operation = {\n\t\t\t\tprefix: \"\",\n\t\t\t\toperators: []\n\t\t\t};\n\t\t\tif(match[1]) {\n\t\t\t\toperation.prefix = match[1];\n\t\t\t\tp++;\n\t\t\t}\n\t\t\tif(match[2]) { // Opening square bracket\n\t\t\t\tp = parseFilterOperation(operation.operators,filterString,p);\n\t\t\t} else {\n\t\t\t\tp = match.index + match[0].length;\n\t\t\t}\n\t\t\tif(match[3] || match[4] || match[5]) { // Double quoted string, single quoted string or unquoted title\n\t\t\t\toperation.operators.push(\n\t\t\t\t\t{operator: \"title\", operand: match[3] || match[4] || match[5]}\n\t\t\t\t);\n\t\t\t}\n\t\t\tresults.push(operation);\n\t\t}\n\t}\n\treturn results;\n};\n\nexports.getFilterOperators = function() {\n\tif(!this.filterOperators) {\n\t\t$tw.Wiki.prototype.filterOperators = {};\n\t\t$tw.modules.applyMethods(\"filteroperator\",this.filterOperators);\n\t}\n\treturn this.filterOperators;\n};\n\nexports.filterTiddlers = function(filterString,widget,source) {\n\tvar fn = this.compileFilter(filterString);\n\treturn fn.call(this,source,widget);\n};\n\n/*\nCompile a filter into a function with the signature fn(source,widget) where:\nsource: an iterator function for the source tiddlers, called source(iterator), where iterator is called as iterator(tiddler,title)\nwidget: an optional widget node for retrieving the current tiddler etc.\n*/\nexports.compileFilter = function(filterString) {\n\tvar filterParseTree;\n\ttry {\n\t\tfilterParseTree = this.parseFilter(filterString);\n\t} catch(e) {\n\t\treturn function(source,widget) {\n\t\t\treturn [$tw.language.getString(\"Error/Filter\") + \": \" + e];\n\t\t};\n\t}\n\t// Get the hashmap of filter operator functions\n\tvar filterOperators = this.getFilterOperators();\n\t// Assemble array of functions, one for each operation\n\tvar operationFunctions = [];\n\t// Step through the operations\n\tvar self = this;\n\t$tw.utils.each(filterParseTree,function(operation) {\n\t\t// Create a function for the chain of operators in the operation\n\t\tvar operationSubFunction = function(source,widget) {\n\t\t\tvar accumulator = source,\n\t\t\t\tresults = [],\n\t\t\t\tcurrTiddlerTitle = widget && widget.getVariable(\"currentTiddler\");\n\t\t\t$tw.utils.each(operation.operators,function(operator) {\n\t\t\t\tvar operand = operator.operand,\n\t\t\t\t\toperatorFunction;\n\t\t\t\tif(!operator.operator) {\n\t\t\t\t\toperatorFunction = filterOperators.title;\n\t\t\t\t} else if(!filterOperators[operator.operator]) {\n\t\t\t\t\toperatorFunction = filterOperators.field;\n\t\t\t\t} else {\n\t\t\t\t\toperatorFunction = filterOperators[operator.operator];\n\t\t\t\t}\n\t\t\t\tif(operator.indirect) {\n\t\t\t\t\toperand = self.getTextReference(operator.operand,\"\",currTiddlerTitle);\n\t\t\t\t}\n\t\t\t\tif(operator.variable) {\n\t\t\t\t\toperand = widget.getVariable(operator.operand,{defaultValue: \"\"});\n\t\t\t\t}\n\t\t\t\t// Invoke the appropriate filteroperator module\n\t\t\t\tresults = operatorFunction(accumulator,{\n\t\t\t\t\t\t\toperator: operator.operator,\n\t\t\t\t\t\t\toperand: operand,\n\t\t\t\t\t\t\tprefix: operator.prefix,\n\t\t\t\t\t\t\tsuffix: operator.suffix,\n\t\t\t\t\t\t\tsuffixes: operator.suffixes,\n\t\t\t\t\t\t\tregexp: operator.regexp\n\t\t\t\t\t\t},{\n\t\t\t\t\t\t\twiki: self,\n\t\t\t\t\t\t\twidget: widget\n\t\t\t\t\t\t});\n\t\t\t\tif($tw.utils.isArray(results)) {\n\t\t\t\t\taccumulator = self.makeTiddlerIterator(results);\n\t\t\t\t} else {\n\t\t\t\t\taccumulator = results;\n\t\t\t\t}\n\t\t\t});\n\t\t\tif($tw.utils.isArray(results)) {\n\t\t\t\treturn results;\n\t\t\t} else {\n\t\t\t\tvar resultArray = [];\n\t\t\t\tresults(function(tiddler,title) {\n\t\t\t\t\tresultArray.push(title);\n\t\t\t\t});\n\t\t\t\treturn resultArray;\n\t\t\t}\n\t\t};\n\t\t// Wrap the operator functions in a wrapper function that depends on the prefix\n\t\toperationFunctions.push((function() {\n\t\t\tswitch(operation.prefix || \"\") {\n\t\t\t\tcase \"\": // No prefix means that the operation is unioned into the result\n\t\t\t\t\treturn function(results,source,widget) {\n\t\t\t\t\t\t$tw.utils.pushTop(results,operationSubFunction(source,widget));\n\t\t\t\t\t};\n\t\t\t\tcase \"=\": // The results of the operation are pushed into the result without deduplication\n\t\t\t\t\treturn function(results,source,widget) {\n\t\t\t\t\t\tArray.prototype.push.apply(results,operationSubFunction(source,widget));\n\t\t\t\t\t};\n\t\t\t\tcase \"-\": // The results of this operation are removed from the main result\n\t\t\t\t\treturn function(results,source,widget) {\n\t\t\t\t\t\t$tw.utils.removeArrayEntries(results,operationSubFunction(source,widget));\n\t\t\t\t\t};\n\t\t\t\tcase \"+\": // This operation is applied to the main results so far\n\t\t\t\t\treturn function(results,source,widget) {\n\t\t\t\t\t\t// This replaces all the elements of the array, but keeps the actual array so that references to it are preserved\n\t\t\t\t\t\tsource = self.makeTiddlerIterator(results);\n\t\t\t\t\t\tresults.splice(0,results.length);\n\t\t\t\t\t\t$tw.utils.pushTop(results,operationSubFunction(source,widget));\n\t\t\t\t\t};\n\t\t\t\tcase \"~\": // This operation is unioned into the result only if the main result so far is empty\n\t\t\t\t\treturn function(results,source,widget) {\n\t\t\t\t\t\tif(results.length === 0) {\n\t\t\t\t\t\t\t// Main result so far is empty\n\t\t\t\t\t\t\t$tw.utils.pushTop(results,operationSubFunction(source,widget));\n\t\t\t\t\t\t}\n\t\t\t\t\t};\n\t\t\t}\n\t\t})());\n\t});\n\t// Return a function that applies the operations to a source iterator of tiddler titles\n\treturn $tw.perf.measure(\"filter: \" + filterString,function filterFunction(source,widget) {\n\t\tif(!source) {\n\t\t\tsource = self.each;\n\t\t} else if(typeof source === \"object\") { // Array or hashmap\n\t\t\tsource = self.makeTiddlerIterator(source);\n\t\t}\n\t\tvar results = [];\n\t\t$tw.utils.each(operationFunctions,function(operationFunction) {\n\t\t\toperationFunction(results,source,widget);\n\t\t});\n\t\treturn results;\n\t});\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikimethod"
},
"$:/core/modules/indexers/backlinks-indexer.js": {
"title": "$:/core/modules/indexers/backlinks-indexer.js",
"text": "/*\\\ntitle: $:/core/modules/indexers/backlinks-indexer.js\ntype: application/javascript\nmodule-type: indexer\n\nIndexes the tiddlers' backlinks\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global modules: false */\n\"use strict\";\n\n\nfunction BacklinksIndexer(wiki) {\n\tthis.wiki = wiki;\n}\n\nBacklinksIndexer.prototype.init = function() {\n\tthis.index = null;\n}\n\nBacklinksIndexer.prototype.rebuild = function() {\n\tthis.index = null;\n}\n\nBacklinksIndexer.prototype._getLinks = function(tiddler) {\n\tvar parser = this.wiki.parseText(tiddler.fields.type, tiddler.fields.text, {});\n\tif(parser) {\n\t\treturn this.wiki.extractLinks(parser.tree);\n\t}\n\treturn [];\n}\n\nBacklinksIndexer.prototype.update = function(updateDescriptor) {\n\tif(!this.index) {\n\t\treturn;\n\t}\n\tvar newLinks = [],\n\t oldLinks = [],\n\t self = this;\n\tif(updateDescriptor.old.exists) {\n\t\toldLinks = this._getLinks(updateDescriptor.old.tiddler);\n\t}\n\tif(updateDescriptor.new.exists) {\n\t\tnewLinks = this._getLinks(updateDescriptor.new.tiddler);\n\t}\n\n\t$tw.utils.each(oldLinks,function(link) {\n\t\tif(self.index[link]) {\n\t\t\tdelete self.index[link][updateDescriptor.old.tiddler.fields.title];\n\t\t}\n\t});\n\t$tw.utils.each(newLinks,function(link) {\n\t\tif(!self.index[link]) {\n\t\t\tself.index[link] = Object.create(null);\n\t\t}\n\t\tself.index[link][updateDescriptor.new.tiddler.fields.title] = true;\n\t});\n}\n\nBacklinksIndexer.prototype.lookup = function(title) {\n\tif(!this.index) {\n\t\tthis.index = Object.create(null);\n\t\tvar self = this;\n\t\tthis.wiki.forEachTiddler(function(title,tiddler) {\n\t\t\tvar links = self._getLinks(tiddler);\n\t\t\t$tw.utils.each(links, function(link) {\n\t\t\t\tif(!self.index[link]) {\n\t\t\t\t\tself.index[link] = Object.create(null);\n\t\t\t\t}\n\t\t\t\tself.index[link][title] = true;\n\t\t\t});\n\t\t});\n\t}\n\tif(this.index[title]) {\n\t\treturn Object.keys(this.index[title]);\n\t} else {\n\t\treturn [];\n\t}\n}\n\nexports.BacklinksIndexer = BacklinksIndexer;\n\n})();\n",
"type": "application/javascript",
"module-type": "indexer"
},
"$:/core/modules/indexers/field-indexer.js": {
"title": "$:/core/modules/indexers/field-indexer.js",
"text": "/*\\\ntitle: $:/core/modules/indexers/field-indexer.js\ntype: application/javascript\nmodule-type: indexer\n\nIndexes the tiddlers with each field value\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global modules: false */\n\"use strict\";\n\nvar DEFAULT_MAXIMUM_INDEXED_VALUE_LENGTH = 128;\n\nfunction FieldIndexer(wiki) {\n\tthis.wiki = wiki;\n}\n\nFieldIndexer.prototype.init = function() {\n\tthis.index = null;\n\tthis.maxIndexedValueLength = DEFAULT_MAXIMUM_INDEXED_VALUE_LENGTH;\n\tthis.addIndexMethods();\n}\n\n// Provided for testing\nFieldIndexer.prototype.setMaxIndexedValueLength = function(length) {\n\tthis.index = null;\n\tthis.maxIndexedValueLength = length;\n};\n\nFieldIndexer.prototype.addIndexMethods = function() {\n\tvar self = this;\n\tthis.wiki.each.byField = function(name,value) {\n\t\tvar titles = self.wiki.allTitles(),\n\t\t\tlookup = self.lookup(name,value);\n\t\treturn lookup && lookup.filter(function(title) {\n\t\t\treturn titles.indexOf(title) !== -1;\n\t\t});\n\t};\n\tthis.wiki.eachShadow.byField = function(name,value) {\n\t\tvar titles = self.wiki.allShadowTitles(),\n\t\t\tlookup = self.lookup(name,value);\n\t\treturn lookup && lookup.filter(function(title) {\n\t\t\treturn titles.indexOf(title) !== -1;\n\t\t});\n\t};\n\tthis.wiki.eachTiddlerPlusShadows.byField = function(name,value) {\n\t\tvar lookup = self.lookup(name,value);\n\t\treturn lookup ? lookup.slice(0) : null;\n\t};\n\tthis.wiki.eachShadowPlusTiddlers.byField = function(name,value) {\n\t\tvar lookup = self.lookup(name,value);\n\t\treturn lookup ? lookup.slice(0) : null;\n\t};\n};\n\n/*\nTear down and then rebuild the index as if all tiddlers have changed\n*/\nFieldIndexer.prototype.rebuild = function() {\n\t// Invalidate the index so that it will be rebuilt when it is next used\n\tthis.index = null;\n};\n\n/*\nBuild the index for a particular field\n*/\nFieldIndexer.prototype.buildIndexForField = function(name) {\n\tvar self = this;\n\t// Hashmap by field name of hashmap by field value of array of tiddler titles\n\tthis.index = this.index || Object.create(null);\n\tthis.index[name] = Object.create(null);\n\tvar baseIndex = this.index[name];\n\t// Update the index for each tiddler\n\tthis.wiki.eachTiddlerPlusShadows(function(tiddler,title) {\n\t\tif(name in tiddler.fields) {\n\t\t\tvar value = tiddler.getFieldString(name);\n\t\t\t// Skip any values above the maximum length\n\t\t\tif(value.length < self.maxIndexedValueLength) {\n\t\t\t\tbaseIndex[value] = baseIndex[value] || [];\n\t\t\t\tbaseIndex[value].push(title);\n\t\t\t}\n\t\t}\n\t});\n};\n\n/*\nUpdate the index in the light of a tiddler value changing; note that the title must be identical. (Renames are handled as a separate delete and create)\nupdateDescriptor: {old: {tiddler: <tiddler>, shadow: <boolean>, exists: <boolean>},new: {tiddler: <tiddler>, shadow: <boolean>, exists: <boolean>}}\n*/\nFieldIndexer.prototype.update = function(updateDescriptor) {\n\tvar self = this;\n\t// Don't do anything if the index hasn't been built yet\n\tif(this.index === null) {\n\t\treturn;\n\t}\n\t// Remove the old tiddler from the index\n\tif(updateDescriptor.old.tiddler) {\n\t\t$tw.utils.each(this.index,function(indexEntry,name) {\n\t\t\tif(name in updateDescriptor.old.tiddler.fields) {\n\t\t\t\tvar value = updateDescriptor.old.tiddler.getFieldString(name),\n\t\t\t\t\ttiddlerList = indexEntry[value];\n\t\t\t\tif(tiddlerList) {\n\t\t\t\t\tvar index = tiddlerList.indexOf(updateDescriptor.old.tiddler.fields.title);\n\t\t\t\t\tif(index !== -1) {\n\t\t\t\t\t\ttiddlerList.splice(index,1);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\t// Add the new tiddler to the index\n\tif(updateDescriptor[\"new\"].tiddler) {\n\t\t$tw.utils.each(this.index,function(indexEntry,name) {\n\t\t\tif(name in updateDescriptor[\"new\"].tiddler.fields) {\n\t\t\t\tvar value = updateDescriptor[\"new\"].tiddler.getFieldString(name);\n\t\t\t\tif(value.length < self.maxIndexedValueLength) {\n\t\t\t\t\tindexEntry[value] = indexEntry[value] || [];\n\t\t\t\t\tindexEntry[value].push(updateDescriptor[\"new\"].tiddler.fields.title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\t\t\n\t}\n};\n\n// Lookup the given field returning a list of tiddler titles\nFieldIndexer.prototype.lookup = function(name,value) {\n\t// Fail the lookup if the value is too long\n\tif(value.length >= this.maxIndexedValueLength) {\n\t\treturn null;\n\t}\n\t// Update the index if it has yet to be built\n\tif(this.index === null || !this.index[name]) {\n\t\tthis.buildIndexForField(name);\n\t}\n\treturn this.index[name][value] || [];\n};\n\nexports.FieldIndexer = FieldIndexer;\n\n})();\n",
"type": "application/javascript",
"module-type": "indexer"
},
"$:/core/modules/indexers/tag-indexer.js": {
"title": "$:/core/modules/indexers/tag-indexer.js",
"text": "/*\\\ntitle: $:/core/modules/indexers/tag-indexer.js\ntype: application/javascript\nmodule-type: indexer\n\nIndexes the tiddlers with each tag\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global modules: false */\n\"use strict\";\n\nfunction TagIndexer(wiki) {\n\tthis.wiki = wiki;\n}\n\nTagIndexer.prototype.init = function() {\n\tthis.subIndexers = [\n\t\tnew TagSubIndexer(this,\"each\"),\n\t\tnew TagSubIndexer(this,\"eachShadow\"),\n\t\tnew TagSubIndexer(this,\"eachTiddlerPlusShadows\"),\n\t\tnew TagSubIndexer(this,\"eachShadowPlusTiddlers\")\n\t];\n\t$tw.utils.each(this.subIndexers,function(subIndexer) {\n\t\tsubIndexer.addIndexMethod();\n\t});\n};\n\nTagIndexer.prototype.rebuild = function() {\n\t$tw.utils.each(this.subIndexers,function(subIndexer) {\n\t\tsubIndexer.rebuild();\n\t});\n};\n\nTagIndexer.prototype.update = function(updateDescriptor) {\n\t$tw.utils.each(this.subIndexers,function(subIndexer) {\n\t\tsubIndexer.update(updateDescriptor);\n\t});\n};\n\nfunction TagSubIndexer(indexer,iteratorMethod) {\n\tthis.indexer = indexer;\n\tthis.iteratorMethod = iteratorMethod;\n\tthis.index = null; // Hashmap of tag title to {isSorted: bool, titles: [array]} or null if not yet initialised\n}\n\nTagSubIndexer.prototype.addIndexMethod = function() {\n\tvar self = this;\n\tthis.indexer.wiki[this.iteratorMethod].byTag = function(tag) {\n\t\treturn self.lookup(tag).slice(0);\n\t};\n};\n\nTagSubIndexer.prototype.rebuild = function() {\n\tvar self = this;\n\t// Hashmap by tag of array of {isSorted:, titles:[]}\n\tthis.index = Object.create(null);\n\t// Add all the tags\n\tthis.indexer.wiki[this.iteratorMethod](function(tiddler,title) {\n\t\t$tw.utils.each(tiddler.fields.tags,function(tag) {\n\t\t\tif(!self.index[tag]) {\n\t\t\t\tself.index[tag] = {isSorted: false, titles: [title]};\n\t\t\t} else {\n\t\t\t\tself.index[tag].titles.push(title);\n\t\t\t}\n\t\t});\t\t\n\t});\n};\n\nTagSubIndexer.prototype.update = function(updateDescriptor) {\n\tthis.index = null;\n};\n\nTagSubIndexer.prototype.lookup = function(tag) {\n\t// Update the index if it has yet to be built\n\tif(this.index === null) {\n\t\tthis.rebuild();\n\t}\n\tvar indexRecord = this.index[tag];\n\tif(indexRecord) {\n\t\tif(!indexRecord.isSorted) {\n\t\t\tif(this.indexer.wiki.sortByList) {\n\t\t\t\tindexRecord.titles = this.indexer.wiki.sortByList(indexRecord.titles,tag);\n\t\t\t}\t\t\t\n\t\t\tindexRecord.isSorted = true;\n\t\t}\n\t\treturn indexRecord.titles;\n\t} else {\n\t\treturn [];\n\t}\n};\n\n\nexports.TagIndexer = TagIndexer;\n\n})();\n",
"type": "application/javascript",
"module-type": "indexer"
},
"$:/core/modules/info/platform.js": {
"title": "$:/core/modules/info/platform.js",
"text": "/*\\\ntitle: $:/core/modules/info/platform.js\ntype: application/javascript\nmodule-type: info\n\nInitialise basic platform $:/info/ tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.getInfoTiddlerFields = function() {\n\tvar mapBoolean = function(value) {return value ? \"yes\" : \"no\";},\n\t\tinfoTiddlerFields = [];\n\t// Basics\n\tinfoTiddlerFields.push({title: \"$:/info/browser\", text: mapBoolean(!!$tw.browser)});\n\tinfoTiddlerFields.push({title: \"$:/info/node\", text: mapBoolean(!!$tw.node)});\n\tif($tw.browser) {\n\t\t// Document location\n\t\tvar setLocationProperty = function(name,value) {\n\t\t\t\tinfoTiddlerFields.push({title: \"$:/info/url/\" + name, text: value});\t\t\t\n\t\t\t},\n\t\t\tlocation = document.location;\n\t\tsetLocationProperty(\"full\", (location.toString()).split(\"#\")[0]);\n\t\tsetLocationProperty(\"host\", location.host);\n\t\tsetLocationProperty(\"hostname\", location.hostname);\n\t\tsetLocationProperty(\"protocol\", location.protocol);\n\t\tsetLocationProperty(\"port\", location.port);\n\t\tsetLocationProperty(\"pathname\", location.pathname);\n\t\tsetLocationProperty(\"search\", location.search);\n\t\tsetLocationProperty(\"origin\", location.origin);\n\t\t// Screen size\n\t\tinfoTiddlerFields.push({title: \"$:/info/browser/screen/width\", text: window.screen.width.toString()});\n\t\tinfoTiddlerFields.push({title: \"$:/info/browser/screen/height\", text: window.screen.height.toString()});\n\t\t// Language\n\t\tinfoTiddlerFields.push({title: \"$:/info/browser/language\", text: navigator.language || \"\"});\n\t}\n\treturn infoTiddlerFields;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "info"
},
"$:/core/modules/keyboard.js": {
"title": "$:/core/modules/keyboard.js",
"text": "/*\\\ntitle: $:/core/modules/keyboard.js\ntype: application/javascript\nmodule-type: global\n\nKeyboard handling utilities\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar namedKeys = {\n\t\"cancel\": 3,\n\t\"help\": 6,\n\t\"backspace\": 8,\n\t\"tab\": 9,\n\t\"clear\": 12,\n\t\"return\": 13,\n\t\"enter\": 13,\n\t\"pause\": 19,\n\t\"escape\": 27,\n\t\"space\": 32,\n\t\"page_up\": 33,\n\t\"page_down\": 34,\n\t\"end\": 35,\n\t\"home\": 36,\n\t\"left\": 37,\n\t\"up\": 38,\n\t\"right\": 39,\n\t\"down\": 40,\n\t\"printscreen\": 44,\n\t\"insert\": 45,\n\t\"delete\": 46,\n\t\"0\": 48,\n\t\"1\": 49,\n\t\"2\": 50,\n\t\"3\": 51,\n\t\"4\": 52,\n\t\"5\": 53,\n\t\"6\": 54,\n\t\"7\": 55,\n\t\"8\": 56,\n\t\"9\": 57,\n\t\"firefoxsemicolon\": 59,\n\t\"firefoxequals\": 61,\n\t\"a\": 65,\n\t\"b\": 66,\n\t\"c\": 67,\n\t\"d\": 68,\n\t\"e\": 69,\n\t\"f\": 70,\n\t\"g\": 71,\n\t\"h\": 72,\n\t\"i\": 73,\n\t\"j\": 74,\n\t\"k\": 75,\n\t\"l\": 76,\n\t\"m\": 77,\n\t\"n\": 78,\n\t\"o\": 79,\n\t\"p\": 80,\n\t\"q\": 81,\n\t\"r\": 82,\n\t\"s\": 83,\n\t\"t\": 84,\n\t\"u\": 85,\n\t\"v\": 86,\n\t\"w\": 87,\n\t\"x\": 88,\n\t\"y\": 89,\n\t\"z\": 90,\n\t\"numpad0\": 96,\n\t\"numpad1\": 97,\n\t\"numpad2\": 98,\n\t\"numpad3\": 99,\n\t\"numpad4\": 100,\n\t\"numpad5\": 101,\n\t\"numpad6\": 102,\n\t\"numpad7\": 103,\n\t\"numpad8\": 104,\n\t\"numpad9\": 105,\n\t\"multiply\": 106,\n\t\"add\": 107,\n\t\"separator\": 108,\n\t\"subtract\": 109,\n\t\"decimal\": 110,\n\t\"divide\": 111,\n\t\"f1\": 112,\n\t\"f2\": 113,\n\t\"f3\": 114,\n\t\"f4\": 115,\n\t\"f5\": 116,\n\t\"f6\": 117,\n\t\"f7\": 118,\n\t\"f8\": 119,\n\t\"f9\": 120,\n\t\"f10\": 121,\n\t\"f11\": 122,\n\t\"f12\": 123,\n\t\"f13\": 124,\n\t\"f14\": 125,\n\t\"f15\": 126,\n\t\"f16\": 127,\n\t\"f17\": 128,\n\t\"f18\": 129,\n\t\"f19\": 130,\n\t\"f20\": 131,\n\t\"f21\": 132,\n\t\"f22\": 133,\n\t\"f23\": 134,\n\t\"f24\": 135,\n\t\"firefoxminus\": 173,\n\t\"semicolon\": 186,\n\t\"equals\": 187,\n\t\"comma\": 188,\n\t\"dash\": 189,\n\t\"period\": 190,\n\t\"slash\": 191,\n\t\"backquote\": 192,\n\t\"openbracket\": 219,\n\t\"backslash\": 220,\n\t\"closebracket\": 221,\n\t\"quote\": 222\n};\n\nfunction KeyboardManager(options) {\n\tvar self = this;\n\toptions = options || \"\";\n\t// Save the named key hashmap\n\tthis.namedKeys = namedKeys;\n\t// Create a reverse mapping of code to keyname\n\tthis.keyNames = [];\n\t$tw.utils.each(namedKeys,function(keyCode,name) {\n\t\tself.keyNames[keyCode] = name.substr(0,1).toUpperCase() + name.substr(1);\n\t});\n\t// Save the platform-specific name of the \"meta\" key\n\tthis.metaKeyName = $tw.platform.isMac ? \"cmd-\" : \"win-\";\n\tthis.shortcutKeysList = [], // Stores the shortcut-key descriptors\n\tthis.shortcutActionList = [], // Stores the corresponding action strings\n\tthis.shortcutParsedList = []; // Stores the parsed key descriptors\n\tthis.lookupNames = [\"shortcuts\"];\n\tthis.lookupNames.push($tw.platform.isMac ? \"shortcuts-mac\" : \"shortcuts-not-mac\")\n\tthis.lookupNames.push($tw.platform.isWindows ? \"shortcuts-windows\" : \"shortcuts-not-windows\");\n\tthis.lookupNames.push($tw.platform.isLinux ? \"shortcuts-linux\" : \"shortcuts-not-linux\");\n\tthis.updateShortcutLists(this.getShortcutTiddlerList());\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\tself.handleShortcutChanges(changes);\n\t});\n}\n\n/*\nReturn an array of keycodes for the modifier keys ctrl, shift, alt, meta\n*/\nKeyboardManager.prototype.getModifierKeys = function() {\n\treturn [\n\t\t16, // Shift\n\t\t17, // Ctrl\n\t\t18, // Alt\n\t\t20, // CAPS LOCK\n\t\t91, // Meta (left)\n\t\t93, // Meta (right)\n\t\t224 // Meta (Firefox)\n\t]\n};\n\n/*\nParses a key descriptor into the structure:\n{\n\tkeyCode: numeric keycode\n\tshiftKey: boolean\n\taltKey: boolean\n\tctrlKey: boolean\n\tmetaKey: boolean\n}\nKey descriptors have the following format:\n\tctrl+enter\n\tctrl+shift+alt+A\n*/\nKeyboardManager.prototype.parseKeyDescriptor = function(keyDescriptor) {\n\tvar components = keyDescriptor.split(/\\+|\\-/),\n\t\tinfo = {\n\t\t\tkeyCode: 0,\n\t\t\tshiftKey: false,\n\t\t\taltKey: false,\n\t\t\tctrlKey: false,\n\t\t\tmetaKey: false\n\t\t};\n\tfor(var t=0; t<components.length; t++) {\n\t\tvar s = components[t].toLowerCase(),\n\t\t\tc = s.charCodeAt(0);\n\t\t// Look for modifier keys\n\t\tif(s === \"ctrl\") {\n\t\t\tinfo.ctrlKey = true;\n\t\t} else if(s === \"shift\") {\n\t\t\tinfo.shiftKey = true;\n\t\t} else if(s === \"alt\") {\n\t\t\tinfo.altKey = true;\n\t\t} else if(s === \"meta\" || s === \"cmd\" || s === \"win\") {\n\t\t\tinfo.metaKey = true;\n\t\t}\n\t\t// Replace named keys with their code\n\t\tif(this.namedKeys[s]) {\n\t\t\tinfo.keyCode = this.namedKeys[s];\n\t\t}\n\t}\n\tif(info.keyCode) {\n\t\treturn info;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n/*\nParse a list of key descriptors into an array of keyInfo objects. The key descriptors can be passed as an array of strings or a space separated string\n*/\nKeyboardManager.prototype.parseKeyDescriptors = function(keyDescriptors,options) {\n\tvar self = this;\n\toptions = options || {};\n\toptions.stack = options.stack || [];\n\tvar wiki = options.wiki || $tw.wiki;\n\tif(typeof keyDescriptors === \"string\" && keyDescriptors === \"\") {\n\t\treturn [];\n\t}\n\tif(!$tw.utils.isArray(keyDescriptors)) {\n\t\tkeyDescriptors = keyDescriptors.split(\" \");\n\t}\n\tvar result = [];\n\t$tw.utils.each(keyDescriptors,function(keyDescriptor) {\n\t\t// Look for a named shortcut\n\t\tif(keyDescriptor.substr(0,2) === \"((\" && keyDescriptor.substr(-2,2) === \"))\") {\n\t\t\tif(options.stack.indexOf(keyDescriptor) === -1) {\n\t\t\t\toptions.stack.push(keyDescriptor);\n\t\t\t\tvar name = keyDescriptor.substring(2,keyDescriptor.length - 2),\n\t\t\t\t\tlookupName = function(configName) {\n\t\t\t\t\t\tvar keyDescriptors = wiki.getTiddlerText(\"$:/config/\" + configName + \"/\" + name);\n\t\t\t\t\t\tif(keyDescriptors) {\n\t\t\t\t\t\t\tresult.push.apply(result,self.parseKeyDescriptors(keyDescriptors,options));\n\t\t\t\t\t\t}\n\t\t\t\t\t};\n\t\t\t\t$tw.utils.each(self.lookupNames,function(platformDescriptor) {\n\t\t\t\t\tlookupName(platformDescriptor);\n\t\t\t\t});\n\t\t\t}\n\t\t} else {\n\t\t\tresult.push(self.parseKeyDescriptor(keyDescriptor));\n\t\t}\n\t});\n\treturn result;\n};\n\nKeyboardManager.prototype.getPrintableShortcuts = function(keyInfoArray) {\n\tvar self = this,\n\t\tresult = [];\n\t$tw.utils.each(keyInfoArray,function(keyInfo) {\n\t\tif(keyInfo) {\n\t\t\tresult.push((keyInfo.ctrlKey ? \"ctrl-\" : \"\") + \n\t\t\t\t (keyInfo.shiftKey ? \"shift-\" : \"\") + \n\t\t\t\t (keyInfo.altKey ? \"alt-\" : \"\") + \n\t\t\t\t (keyInfo.metaKey ? self.metaKeyName : \"\") + \n\t\t\t\t (self.keyNames[keyInfo.keyCode]));\n\t\t}\n\t});\n\treturn result;\n}\n\nKeyboardManager.prototype.checkKeyDescriptor = function(event,keyInfo) {\n\treturn keyInfo &&\n\t\t\tevent.keyCode === keyInfo.keyCode && \n\t\t\tevent.shiftKey === keyInfo.shiftKey && \n\t\t\tevent.altKey === keyInfo.altKey && \n\t\t\tevent.ctrlKey === keyInfo.ctrlKey && \n\t\t\tevent.metaKey === keyInfo.metaKey;\n};\n\nKeyboardManager.prototype.checkKeyDescriptors = function(event,keyInfoArray) {\n\tfor(var t=0; t<keyInfoArray.length; t++) {\n\t\tif(this.checkKeyDescriptor(event,keyInfoArray[t])) {\n\t\t\treturn true;\n\t\t}\n\t}\n\treturn false;\n};\n\nKeyboardManager.prototype.getShortcutTiddlerList = function() {\n\treturn $tw.wiki.getTiddlersWithTag(\"$:/tags/KeyboardShortcut\");\n};\n\nKeyboardManager.prototype.updateShortcutLists = function(tiddlerList) {\n\tthis.shortcutTiddlers = tiddlerList;\n\tfor(var i=0; i<tiddlerList.length; i++) {\n\t\tvar title = tiddlerList[i],\n\t\t\ttiddlerFields = $tw.wiki.getTiddler(title).fields;\n\t\tthis.shortcutKeysList[i] = tiddlerFields.key !== undefined ? tiddlerFields.key : undefined;\n\t\tthis.shortcutActionList[i] = tiddlerFields.text;\n\t\tthis.shortcutParsedList[i] = this.shortcutKeysList[i] !== undefined ? this.parseKeyDescriptors(this.shortcutKeysList[i]) : undefined;\n\t}\n};\n\nKeyboardManager.prototype.handleKeydownEvent = function(event) {\n\tvar key, action;\n\tfor(var i=0; i<this.shortcutTiddlers.length; i++) {\n\t\tif(this.shortcutParsedList[i] !== undefined && this.checkKeyDescriptors(event,this.shortcutParsedList[i])) {\n\t\t\tkey = this.shortcutParsedList[i];\n\t\t\taction = this.shortcutActionList[i];\n\t\t}\n\t}\n\tif(key !== undefined) {\n\t\tevent.preventDefault();\n\t\tevent.stopPropagation();\n\t\t$tw.rootWidget.invokeActionString(action,$tw.rootWidget);\n\t\treturn true;\n\t}\n\treturn false;\n};\n\nKeyboardManager.prototype.detectNewShortcuts = function(changedTiddlers) {\n\tvar shortcutConfigTiddlers = [],\n\t\thandled = false;\n\t$tw.utils.each(this.lookupNames,function(platformDescriptor) {\n\t\tvar descriptorString = \"$:/config/\" + platformDescriptor + \"/\";\n\t\tObject.keys(changedTiddlers).forEach(function(configTiddler) {\n\t\t\tvar configString = configTiddler.substr(0, configTiddler.lastIndexOf(\"/\") + 1);\n\t\t\tif(configString === descriptorString) {\n\t\t\t\tshortcutConfigTiddlers.push(configTiddler);\n\t\t\t\thandled = true;\n\t\t\t}\n\t\t});\n\t});\n\tif(handled) {\n\t\treturn $tw.utils.hopArray(changedTiddlers,shortcutConfigTiddlers);\n\t} else {\n\t\treturn false;\n\t}\n};\n\nKeyboardManager.prototype.handleShortcutChanges = function(changedTiddlers) {\n\tvar newList = this.getShortcutTiddlerList();\n\tvar hasChanged = $tw.utils.hopArray(changedTiddlers,this.shortcutTiddlers) ? true :\n\t\t($tw.utils.hopArray(changedTiddlers,newList) ? true :\n\t\t(this.detectNewShortcuts(changedTiddlers))\n\t);\n\t// Re-cache shortcuts if something changed\n\tif(hasChanged) {\n\t\tthis.updateShortcutLists(newList);\n\t}\n};\n\nexports.KeyboardManager = KeyboardManager;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/language.js": {
"title": "$:/core/modules/language.js",
"text": "/*\\\ntitle: $:/core/modules/language.js\ntype: application/javascript\nmodule-type: global\n\nThe $tw.Language() manages translateable strings\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nCreate an instance of the language manager. Options include:\nwiki: wiki from which to retrieve translation tiddlers\n*/\nfunction Language(options) {\n\toptions = options || \"\";\n\tthis.wiki = options.wiki || $tw.wiki;\n}\n\n/*\nReturn a wikified translateable string. The title is automatically prefixed with \"$:/language/\"\nOptions include:\nvariables: optional hashmap of variables to supply to the language wikification\n*/\nLanguage.prototype.getString = function(title,options) {\n\toptions = options || {};\n\ttitle = \"$:/language/\" + title;\n\treturn this.wiki.renderTiddler(\"text/plain\",title,{variables: options.variables});\n};\n\n/*\nReturn a raw, unwikified translateable string. The title is automatically prefixed with \"$:/language/\"\n*/\nLanguage.prototype.getRawString = function(title) {\n\ttitle = \"$:/language/\" + title;\n\treturn this.wiki.getTiddlerText(title);\n};\n\nexports.Language = Language;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/macros/changecount.js": {
"title": "$:/core/modules/macros/changecount.js",
"text": "/*\\\ntitle: $:/core/modules/macros/changecount.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to return the changecount for the current tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"changecount\";\n\nexports.params = [];\n\n/*\nRun the macro\n*/\nexports.run = function() {\n\treturn this.wiki.getChangeCount(this.getVariable(\"currentTiddler\")) + \"\";\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/contrastcolour.js": {
"title": "$:/core/modules/macros/contrastcolour.js",
"text": "/*\\\ntitle: $:/core/modules/macros/contrastcolour.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to choose which of two colours has the highest contrast with a base colour\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"contrastcolour\";\n\nexports.params = [\n\t{name: \"target\"},\n\t{name: \"fallbackTarget\"},\n\t{name: \"colourA\"},\n\t{name: \"colourB\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(target,fallbackTarget,colourA,colourB) {\n\tvar rgbTarget = $tw.utils.parseCSSColor(target) || $tw.utils.parseCSSColor(fallbackTarget);\n\tif(!rgbTarget) {\n\t\treturn colourA;\n\t}\n\tvar rgbColourA = $tw.utils.parseCSSColor(colourA),\n\t\trgbColourB = $tw.utils.parseCSSColor(colourB);\n\tif(rgbColourA && !rgbColourB) {\n\t\treturn rgbColourA;\n\t}\n\tif(rgbColourB && !rgbColourA) {\n\t\treturn rgbColourB;\n\t}\n\tif(!rgbColourA && !rgbColourB) {\n\t\t// If neither colour is readable, return a crude inverse of the target\n\t\treturn [255 - rgbTarget[0],255 - rgbTarget[1],255 - rgbTarget[2],rgbTarget[3]];\n\t}\n\t// Colour brightness formula derived from http://www.w3.org/WAI/ER/WD-AERT/#color-contrast\n\tvar brightnessTarget = rgbTarget[0] * 0.299 + rgbTarget[1] * 0.587 + rgbTarget[2] * 0.114,\n\t\tbrightnessA = rgbColourA[0] * 0.299 + rgbColourA[1] * 0.587 + rgbColourA[2] * 0.114,\n\t\tbrightnessB = rgbColourB[0] * 0.299 + rgbColourB[1] * 0.587 + rgbColourB[2] * 0.114;\n\treturn Math.abs(brightnessTarget - brightnessA) > Math.abs(brightnessTarget - brightnessB) ? colourA : colourB;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/csvtiddlers.js": {
"title": "$:/core/modules/macros/csvtiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/macros/csvtiddlers.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to output tiddlers matching a filter to CSV\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"csvtiddlers\";\n\nexports.params = [\n\t{name: \"filter\"},\n\t{name: \"format\"},\n];\n\n/*\nRun the macro\n*/\nexports.run = function(filter,format) {\n\tvar self = this,\n\t\ttiddlers = this.wiki.filterTiddlers(filter),\n\t\ttiddler,\n\t\tfields = [],\n\t\tt,f;\n\t// Collect all the fields\n\tfor(t=0;t<tiddlers.length; t++) {\n\t\ttiddler = this.wiki.getTiddler(tiddlers[t]);\n\t\tfor(f in tiddler.fields) {\n\t\t\tif(fields.indexOf(f) === -1) {\n\t\t\t\tfields.push(f);\n\t\t\t}\n\t\t}\n\t}\n\t// Sort the fields and bring the standard ones to the front\n\tfields.sort();\n\t\"title text modified modifier created creator\".split(\" \").reverse().forEach(function(value,index) {\n\t\tvar p = fields.indexOf(value);\n\t\tif(p !== -1) {\n\t\t\tfields.splice(p,1);\n\t\t\tfields.unshift(value)\n\t\t}\n\t});\n\t// Output the column headings\n\tvar output = [], row = [];\n\tfields.forEach(function(value) {\n\t\trow.push(quoteAndEscape(value))\n\t});\n\toutput.push(row.join(\",\"));\n\t// Output each tiddler\n\tfor(var t=0;t<tiddlers.length; t++) {\n\t\trow = [];\n\t\ttiddler = this.wiki.getTiddler(tiddlers[t]);\n\t\t\tfor(f=0; f<fields.length; f++) {\n\t\t\t\trow.push(quoteAndEscape(tiddler ? tiddler.getFieldString(fields[f]) || \"\" : \"\"));\n\t\t\t}\n\t\toutput.push(row.join(\",\"));\n\t}\n\treturn output.join(\"\\n\");\n};\n\nfunction quoteAndEscape(value) {\n\treturn \"\\\"\" + value.replace(/\"/mg,\"\\\"\\\"\") + \"\\\"\";\n}\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/displayshortcuts.js": {
"title": "$:/core/modules/macros/displayshortcuts.js",
"text": "/*\\\ntitle: $:/core/modules/macros/displayshortcuts.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to display a list of keyboard shortcuts in human readable form. Notably, it resolves named shortcuts like `((bold))` to the underlying keystrokes.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"displayshortcuts\";\n\nexports.params = [\n\t{name: \"shortcuts\"},\n\t{name: \"prefix\"},\n\t{name: \"separator\"},\n\t{name: \"suffix\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(shortcuts,prefix,separator,suffix) {\n\tvar shortcutArray = $tw.keyboardManager.getPrintableShortcuts($tw.keyboardManager.parseKeyDescriptors(shortcuts,{\n\t\twiki: this.wiki\n\t}));\n\tif(shortcutArray.length > 0) {\n\t\tshortcutArray.sort(function(a,b) {\n\t\t return a.toLowerCase().localeCompare(b.toLowerCase());\n\t\t})\n\t\treturn prefix + shortcutArray.join(separator) + suffix;\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/jsontiddler.js": {
"title": "$:/core/modules/macros/jsontiddler.js",
"text": "/*\\\ntitle: $:/core/modules/macros/jsontiddler.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to output a single tiddler to JSON\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"jsontiddler\";\n\nexports.params = [\n\t{name: \"title\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(title) {\n\ttitle = title || this.getVariable(\"currentTiddler\");\n\tvar tiddler = !!title && this.wiki.getTiddler(title),\n\t\tfields = new Object();\n\tif(tiddler) {\n\t\tfor(var field in tiddler.fields) {\n\t\t\tfields[field] = tiddler.getFieldString(field);\n\t\t}\n\t}\n\treturn JSON.stringify(fields,null,$tw.config.preferences.jsonSpaces);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/jsontiddlers.js": {
"title": "$:/core/modules/macros/jsontiddlers.js",
"text": "/*\\\ntitle: $:/core/modules/macros/jsontiddlers.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to output tiddlers matching a filter to JSON\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"jsontiddlers\";\n\nexports.params = [\n\t{name: \"filter\"},\n\t{name: \"spaces\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(filter,spaces) {\n\treturn this.wiki.getTiddlersAsJson(filter,$tw.utils.parseInt(spaces));\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/makedatauri.js": {
"title": "$:/core/modules/macros/makedatauri.js",
"text": "/*\\\ntitle: $:/core/modules/macros/makedatauri.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to convert a string of text to a data URI\n\n<<makedatauri text:\"Text to be converted\" type:\"text/vnd.tiddlywiki\">>\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"makedatauri\";\n\nexports.params = [\n\t{name: \"text\"},\n\t{name: \"type\"},\n\t{name: \"_canonical_uri\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(text,type,_canonical_uri) {\n\treturn $tw.utils.makeDataUri(text,type,_canonical_uri);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/now.js": {
"title": "$:/core/modules/macros/now.js",
"text": "/*\\\ntitle: $:/core/modules/macros/now.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to return a formatted version of the current time\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"now\";\n\nexports.params = [\n\t{name: \"format\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(format) {\n\treturn $tw.utils.formatDateString(new Date(),format || \"0hh:0mm, DDth MMM YYYY\");\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/qualify.js": {
"title": "$:/core/modules/macros/qualify.js",
"text": "/*\\\ntitle: $:/core/modules/macros/qualify.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to qualify a state tiddler title according\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"qualify\";\n\nexports.params = [\n\t{name: \"title\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(title) {\n\treturn title + \"-\" + this.getStateQualifier();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/resolvepath.js": {
"title": "$:/core/modules/macros/resolvepath.js",
"text": "/*\\\ntitle: $:/core/modules/macros/resolvepath.js\ntype: application/javascript\nmodule-type: macro\n\nResolves a relative path for an absolute rootpath.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"resolvepath\";\n\nexports.params = [\n\t{name: \"source\"},\n\t{name: \"root\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(source, root) {\n\treturn $tw.utils.resolvePath(source, root);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/unusedtitle.js": {
"title": "$:/core/modules/macros/unusedtitle.js",
"text": "/*\\\ntitle: $:/core/modules/macros/unusedtitle.js\ntype: application/javascript\nmodule-type: macro\nMacro to return a new title that is unused in the wiki. It can be given a name as a base.\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"unusedtitle\";\n\nexports.params = [\n\t{name: \"baseName\"},\n\t{name: \"options\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(baseName, options) {\n\tif(!baseName) {\n\t\tbaseName = $tw.language.getString(\"DefaultNewTiddlerTitle\");\n\t}\n\treturn this.wiki.generateNewTitle(baseName, options);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/version.js": {
"title": "$:/core/modules/macros/version.js",
"text": "/*\\\ntitle: $:/core/modules/macros/version.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to return the TiddlyWiki core version number\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"version\";\n\nexports.params = [];\n\n/*\nRun the macro\n*/\nexports.run = function() {\n\treturn $tw.version;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/parsers/audioparser.js": {
"title": "$:/core/modules/parsers/audioparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/audioparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe audio parser parses an audio tiddler into an embeddable HTML element\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar AudioParser = function(type,text,options) {\n\tvar element = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"audio\",\n\t\t\tattributes: {\n\t\t\t\tcontrols: {type: \"string\", value: \"controls\"},\n\t\t\t\tstyle: {type: \"string\", value: \"width: 100%; object-fit: contain\"}\n\t\t\t}\n\t\t},\n\t\tsrc;\n\tif(options._canonical_uri) {\n\t\telement.attributes.src = {type: \"string\", value: options._canonical_uri};\n\t} else if(text) {\n\t\telement.attributes.src = {type: \"string\", value: \"data:\" + type + \";base64,\" + text};\n\t}\n\tthis.tree = [element];\n};\n\nexports[\"audio/ogg\"] = AudioParser;\nexports[\"audio/mpeg\"] = AudioParser;\nexports[\"audio/mp3\"] = AudioParser;\nexports[\"audio/mp4\"] = AudioParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/binaryparser.js": {
"title": "$:/core/modules/parsers/binaryparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/binaryparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe binary parser parses a binary tiddler into a warning message and download link\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar BINARY_WARNING_MESSAGE = \"$:/core/ui/BinaryWarning\";\nvar EXPORT_BUTTON_IMAGE = \"$:/core/images/export-button\";\n\nvar BinaryParser = function(type,text,options) {\n\t// Transclude the binary data tiddler warning message\n\tvar warn = {\n\t\ttype: \"element\",\n\t\ttag: \"p\",\n\t\tchildren: [{\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: BINARY_WARNING_MESSAGE}\n\t\t\t}\n\t\t}]\n\t};\n\t// Create download link based on binary tiddler title\n\tvar link = {\n\t\ttype: \"element\",\n\t\ttag: \"a\",\n\t\tattributes: {\n\t\t\ttitle: {type: \"indirect\", textReference: \"!!title\"},\n\t\t\tdownload: {type: \"indirect\", textReference: \"!!title\"}\n\t\t},\n\t\tchildren: [{\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: EXPORT_BUTTON_IMAGE}\n\t\t\t}\n\t\t}]\n\t};\n\t// Set the link href to external or internal data URI\n\tif(options._canonical_uri) {\n\t\tlink.attributes.href = {\n\t\t\ttype: \"string\", \n\t\t\tvalue: options._canonical_uri\n\t\t};\n\t} else if(text) {\n\t\tlink.attributes.href = {\n\t\t\ttype: \"string\", \n\t\t\tvalue: \"data:\" + type + \";base64,\" + text\n\t\t};\n\t}\n\t// Combine warning message and download link in a div\n\tvar element = {\n\t\ttype: \"element\",\n\t\ttag: \"div\",\n\t\tattributes: {\n\t\t\tclass: {type: \"string\", value: \"tc-binary-warning\"}\n\t\t},\n\t\tchildren: [warn, link]\n\t}\n\tthis.tree = [element];\n};\n\nexports[\"application/octet-stream\"] = BinaryParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/csvparser.js": {
"title": "$:/core/modules/parsers/csvparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/csvparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe CSV text parser processes CSV files into a table wrapped in a scrollable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar CsvParser = function(type,text,options) {\n\t// Table framework\n\tthis.tree = [{\n\t\t\"type\": \"scrollable\", \"children\": [{\n\t\t\t\"type\": \"element\", \"tag\": \"table\", \"children\": [{\n\t\t\t\t\"type\": \"element\", \"tag\": \"tbody\", \"children\": []\n\t\t\t}], \"attributes\": {\n\t\t\t\t\"class\": {\"type\": \"string\", \"value\": \"tc-csv-table\"}\n\t\t\t}\n\t\t}]\n\t}];\n\t// Split the text into lines\n\tvar lines = text.split(/\\r?\\n/mg),\n\t\ttag = \"th\";\n\tfor(var line=0; line<lines.length; line++) {\n\t\tvar lineText = lines[line];\n\t\tif(lineText) {\n\t\t\tvar row = {\n\t\t\t\t\t\"type\": \"element\", \"tag\": \"tr\", \"children\": []\n\t\t\t\t};\n\t\t\tvar columns = lineText.split(\",\");\n\t\t\tfor(var column=0; column<columns.length; column++) {\n\t\t\t\trow.children.push({\n\t\t\t\t\t\t\"type\": \"element\", \"tag\": tag, \"children\": [{\n\t\t\t\t\t\t\t\"type\": \"text\",\n\t\t\t\t\t\t\t\"text\": columns[column]\n\t\t\t\t\t\t}]\n\t\t\t\t\t});\n\t\t\t}\n\t\t\ttag = \"td\";\n\t\t\tthis.tree[0].children[0].children[0].children.push(row);\n\t\t}\n\t}\n};\n\nexports[\"text/csv\"] = CsvParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/htmlparser.js": {
"title": "$:/core/modules/parsers/htmlparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/htmlparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe HTML parser displays text as raw HTML\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar HtmlParser = function(type,text,options) {\n\tvar src;\n\tif(options._canonical_uri) {\n\t\tsrc = options._canonical_uri;\n\t} else if(text) {\n\t\tsrc = \"data:text/html;charset=utf-8,\" + encodeURIComponent(text);\n\t}\n\tthis.tree = [{\n\t\ttype: \"element\",\n\t\ttag: \"iframe\",\n\t\tattributes: {\n\t\t\tsrc: {type: \"string\", value: src},\n\t\t\tsandbox: {type: \"string\", value: \"\"}\n\t\t}\n\t}];\n};\n\nexports[\"text/html\"] = HtmlParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/imageparser.js": {
"title": "$:/core/modules/parsers/imageparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/imageparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe image parser parses an image into an embeddable HTML element\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar ImageParser = function(type,text,options) {\n\tvar element = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"img\",\n\t\t\tattributes: {}\n\t\t};\n\tif(options._canonical_uri) {\n\t\telement.attributes.src = {type: \"string\", value: options._canonical_uri};\n\t} else if(text) {\n\t\tif(type === \"image/svg+xml\" || type === \".svg\") {\n\t\t\telement.attributes.src = {type: \"string\", value: \"data:image/svg+xml,\" + encodeURIComponent(text)};\n\t\t} else {\n\t\t\telement.attributes.src = {type: \"string\", value: \"data:\" + type + \";base64,\" + text};\n\t\t}\n\t}\n\tthis.tree = [element];\n};\n\nexports[\"image/svg+xml\"] = ImageParser;\nexports[\"image/jpg\"] = ImageParser;\nexports[\"image/jpeg\"] = ImageParser;\nexports[\"image/png\"] = ImageParser;\nexports[\"image/gif\"] = ImageParser;\nexports[\"image/webp\"] = ImageParser;\nexports[\"image/heic\"] = ImageParser;\nexports[\"image/heif\"] = ImageParser;\nexports[\"image/x-icon\"] = ImageParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/utils/parseutils.js": {
"title": "$:/core/modules/utils/parseutils.js",
"text": "/*\\\ntitle: $:/core/modules/utils/parseutils.js\ntype: application/javascript\nmodule-type: utils\n\nUtility functions concerned with parsing text into tokens.\n\nMost functions have the following pattern:\n\n* The parameters are:\n** `source`: the source string being parsed\n** `pos`: the current parse position within the string\n** Any further parameters are used to identify the token that is being parsed\n* The return value is:\n** null if the token was not found at the specified position\n** an object representing the token with the following standard fields:\n*** `type`: string indicating the type of the token\n*** `start`: start position of the token in the source string\n*** `end`: end position of the token in the source string\n*** Any further fields required to describe the token\n\nThe exception is `skipWhiteSpace`, which just returns the position after the whitespace.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nLook for a whitespace token. Returns null if not found, otherwise returns {type: \"whitespace\", start:, end:,}\n*/\nexports.parseWhiteSpace = function(source,pos) {\n\tvar p = pos,c;\n\twhile(true) {\n\t\tc = source.charAt(p);\n\t\tif((c === \" \") || (c === \"\\f\") || (c === \"\\n\") || (c === \"\\r\") || (c === \"\\t\") || (c === \"\\v\") || (c === \"\\u00a0\")) { // Ignores some obscure unicode spaces\n\t\t\tp++;\n\t\t} else {\n\t\t\tbreak;\n\t\t}\n\t}\n\tif(p === pos) {\n\t\treturn null;\n\t} else {\n\t\treturn {\n\t\t\ttype: \"whitespace\",\n\t\t\tstart: pos,\n\t\t\tend: p\n\t\t}\n\t}\n};\n\n/*\nConvenience wrapper for parseWhiteSpace. Returns the position after the whitespace\n*/\nexports.skipWhiteSpace = function(source,pos) {\n\tvar c;\n\twhile(true) {\n\t\tc = source.charAt(pos);\n\t\tif((c === \" \") || (c === \"\\f\") || (c === \"\\n\") || (c === \"\\r\") || (c === \"\\t\") || (c === \"\\v\") || (c === \"\\u00a0\")) { // Ignores some obscure unicode spaces\n\t\t\tpos++;\n\t\t} else {\n\t\t\treturn pos;\n\t\t}\n\t}\n};\n\n/*\nLook for a given string token. Returns null if not found, otherwise returns {type: \"token\", value:, start:, end:,}\n*/\nexports.parseTokenString = function(source,pos,token) {\n\tvar match = source.indexOf(token,pos) === pos;\n\tif(match) {\n\t\treturn {\n\t\t\ttype: \"token\",\n\t\t\tvalue: token,\n\t\t\tstart: pos,\n\t\t\tend: pos + token.length\n\t\t};\n\t}\n\treturn null;\n};\n\n/*\nLook for a token matching a regex. Returns null if not found, otherwise returns {type: \"regexp\", match:, start:, end:,}\n*/\nexports.parseTokenRegExp = function(source,pos,reToken) {\n\tvar node = {\n\t\ttype: \"regexp\",\n\t\tstart: pos\n\t};\n\treToken.lastIndex = pos;\n\tnode.match = reToken.exec(source);\n\tif(node.match && node.match.index === pos) {\n\t\tnode.end = pos + node.match[0].length;\n\t\treturn node;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n/*\nLook for a string literal. Returns null if not found, otherwise returns {type: \"string\", value:, start:, end:,}\n*/\nexports.parseStringLiteral = function(source,pos) {\n\tvar node = {\n\t\ttype: \"string\",\n\t\tstart: pos\n\t};\n\tvar reString = /(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\")|(?:'([^']*)')/g;\n\treString.lastIndex = pos;\n\tvar match = reString.exec(source);\n\tif(match && match.index === pos) {\n\t\tnode.value = match[1] !== undefined ? match[1] :(\n\t\t\tmatch[2] !== undefined ? match[2] : match[3] \n\t\t\t\t\t);\n\t\tnode.end = pos + match[0].length;\n\t\treturn node;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n/*\nLook for a macro invocation parameter. Returns null if not found, or {type: \"macro-parameter\", name:, value:, start:, end:}\n*/\nexports.parseMacroParameter = function(source,pos) {\n\tvar node = {\n\t\ttype: \"macro-parameter\",\n\t\tstart: pos\n\t};\n\t// Define our regexp\n\tvar reMacroParameter = /(?:([A-Za-z0-9\\-_]+)\\s*:)?(?:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|\\[\\[([^\\]]*)\\]\\]|([^\\s>\"'=]+)))/g;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for the parameter\n\tvar token = $tw.utils.parseTokenRegExp(source,pos,reMacroParameter);\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Get the parameter details\n\tnode.value = token.match[2] !== undefined ? token.match[2] : (\n\t\t\t\t\ttoken.match[3] !== undefined ? token.match[3] : (\n\t\t\t\t\t\ttoken.match[4] !== undefined ? token.match[4] : (\n\t\t\t\t\t\t\ttoken.match[5] !== undefined ? token.match[5] : (\n\t\t\t\t\t\t\t\ttoken.match[6] !== undefined ? token.match[6] : (\n\t\t\t\t\t\t\t\t\t\"\"\n\t\t\t\t\t\t\t\t)\n\t\t\t\t\t\t\t)\n\t\t\t\t\t\t)\n\t\t\t\t\t)\n\t\t\t\t);\n\tif(token.match[1]) {\n\t\tnode.name = token.match[1];\n\t}\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\n/*\nLook for a macro invocation. Returns null if not found, or {type: \"macrocall\", name:, parameters:, start:, end:}\n*/\nexports.parseMacroInvocation = function(source,pos) {\n\tvar node = {\n\t\ttype: \"macrocall\",\n\t\tstart: pos,\n\t\tparams: []\n\t};\n\t// Define our regexps\n\tvar reMacroName = /([^\\s>\"'=]+)/g;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for a double less than sign\n\tvar token = $tw.utils.parseTokenString(source,pos,\"<<\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Get the macro name\n\tvar name = $tw.utils.parseTokenRegExp(source,pos,reMacroName);\n\tif(!name) {\n\t\treturn null;\n\t}\n\tnode.name = name.match[1];\n\tpos = name.end;\n\t// Process parameters\n\tvar parameter = $tw.utils.parseMacroParameter(source,pos);\n\twhile(parameter) {\n\t\tnode.params.push(parameter);\n\t\tpos = parameter.end;\n\t\t// Get the next parameter\n\t\tparameter = $tw.utils.parseMacroParameter(source,pos);\n\t}\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for a double greater than sign\n\ttoken = $tw.utils.parseTokenString(source,pos,\">>\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\n/*\nLook for an HTML attribute definition. Returns null if not found, otherwise returns {type: \"attribute\", name:, valueType: \"string|indirect|macro\", value:, start:, end:,}\n*/\nexports.parseAttribute = function(source,pos) {\n\tvar node = {\n\t\tstart: pos\n\t};\n\t// Define our regexps\n\tvar reAttributeName = /([^\\/\\s>\"'=]+)/g,\n\t\treUnquotedAttribute = /([^\\/\\s<>\"'=]+)/g,\n\t\treFilteredValue = /\\{\\{\\{(.+?)\\}\\}\\}/g,\n\t\treIndirectValue = /\\{\\{([^\\}]+)\\}\\}/g;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Get the attribute name\n\tvar name = $tw.utils.parseTokenRegExp(source,pos,reAttributeName);\n\tif(!name) {\n\t\treturn null;\n\t}\n\tnode.name = name.match[1];\n\tpos = name.end;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for an equals sign\n\tvar token = $tw.utils.parseTokenString(source,pos,\"=\");\n\tif(token) {\n\t\tpos = token.end;\n\t\t// Skip whitespace\n\t\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t\t// Look for a string literal\n\t\tvar stringLiteral = $tw.utils.parseStringLiteral(source,pos);\n\t\tif(stringLiteral) {\n\t\t\tpos = stringLiteral.end;\n\t\t\tnode.type = \"string\";\n\t\t\tnode.value = stringLiteral.value;\n\t\t} else {\n\t\t\t// Look for a filtered value\n\t\t\tvar filteredValue = $tw.utils.parseTokenRegExp(source,pos,reFilteredValue);\n\t\t\tif(filteredValue) {\n\t\t\t\tpos = filteredValue.end;\n\t\t\t\tnode.type = \"filtered\";\n\t\t\t\tnode.filter = filteredValue.match[1];\n\t\t\t} else {\n\t\t\t\t// Look for an indirect value\n\t\t\t\tvar indirectValue = $tw.utils.parseTokenRegExp(source,pos,reIndirectValue);\n\t\t\t\tif(indirectValue) {\n\t\t\t\t\tpos = indirectValue.end;\n\t\t\t\t\tnode.type = \"indirect\";\n\t\t\t\t\tnode.textReference = indirectValue.match[1];\n\t\t\t\t} else {\n\t\t\t\t\t// Look for a unquoted value\n\t\t\t\t\tvar unquotedValue = $tw.utils.parseTokenRegExp(source,pos,reUnquotedAttribute);\n\t\t\t\t\tif(unquotedValue) {\n\t\t\t\t\t\tpos = unquotedValue.end;\n\t\t\t\t\t\tnode.type = \"string\";\n\t\t\t\t\t\tnode.value = unquotedValue.match[1];\n\t\t\t\t\t} else {\n\t\t\t\t\t\t// Look for a macro invocation value\n\t\t\t\t\t\tvar macroInvocation = $tw.utils.parseMacroInvocation(source,pos);\n\t\t\t\t\t\tif(macroInvocation) {\n\t\t\t\t\t\t\tpos = macroInvocation.end;\n\t\t\t\t\t\t\tnode.type = \"macro\";\n\t\t\t\t\t\t\tnode.value = macroInvocation;\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tnode.type = \"string\";\n\t\t\t\t\t\t\tnode.value = \"true\";\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t} else {\n\t\tnode.type = \"string\";\n\t\tnode.value = \"true\";\n\t}\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/parsers/pdfparser.js": {
"title": "$:/core/modules/parsers/pdfparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/pdfparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe PDF parser embeds a PDF viewer\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar ImageParser = function(type,text,options) {\n\tvar element = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"embed\",\n\t\t\tattributes: {}\n\t\t},\n\t\tsrc;\n\tif(options._canonical_uri) {\n\t\telement.attributes.src = {type: \"string\", value: options._canonical_uri};\n\t} else if(text) {\n\t\telement.attributes.src = {type: \"string\", value: \"data:application/pdf;base64,\" + text};\n\t}\n\tthis.tree = [element];\n};\n\nexports[\"application/pdf\"] = ImageParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/textparser.js": {
"title": "$:/core/modules/parsers/textparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/textparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe plain text parser processes blocks of source text into a degenerate parse tree consisting of a single text node\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar TextParser = function(type,text,options) {\n\tthis.tree = [{\n\t\ttype: \"codeblock\",\n\t\tattributes: {\n\t\t\tcode: {type: \"string\", value: text},\n\t\t\tlanguage: {type: \"string\", value: type}\n\t\t}\n\t}];\n};\n\nexports[\"text/plain\"] = TextParser;\nexports[\"text/x-tiddlywiki\"] = TextParser;\nexports[\"application/javascript\"] = TextParser;\nexports[\"application/json\"] = TextParser;\nexports[\"text/css\"] = TextParser;\nexports[\"application/x-tiddler-dictionary\"] = TextParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/videoparser.js": {
"title": "$:/core/modules/parsers/videoparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/videoparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe video parser parses a video tiddler into an embeddable HTML element\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar VideoParser = function(type,text,options) {\n\tvar element = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"video\",\n\t\t\tattributes: {\n\t\t\t\tcontrols: {type: \"string\", value: \"controls\"},\n\t\t\t\tstyle: {type: \"string\", value: \"width: 100%; object-fit: contain\"}\n\t\t\t}\n\t\t},\n\t\tsrc;\n\tif(options._canonical_uri) {\n\t\telement.attributes.src = {type: \"string\", value: options._canonical_uri};\n\t} else if(text) {\n\t\telement.attributes.src = {type: \"string\", value: \"data:\" + type + \";base64,\" + text};\n\t}\n\tthis.tree = [element];\n};\n\nexports[\"video/ogg\"] = VideoParser;\nexports[\"video/webm\"] = VideoParser;\nexports[\"video/mp4\"] = VideoParser;\nexports[\"video/quicktime\"] = VideoParser;\n\n})();\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/wikiparser/rules/codeblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/codeblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/codeblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for code blocks. For example:\n\n```\n\t```\n\tThis text will not be //wikified//\n\t```\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"codeblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match and get language if defined\n\tthis.matchRegExp = /```([\\w-]*)\\r?\\n/mg;\n};\n\nexports.parse = function() {\n\tvar reEnd = /(\\r?\\n```$)/mg;\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Look for the end of the block\n\treEnd.lastIndex = this.parser.pos;\n\tvar match = reEnd.exec(this.parser.source),\n\t\ttext;\n\t// Process the block\n\tif(match) {\n\t\ttext = this.parser.source.substring(this.parser.pos,match.index);\n\t\tthis.parser.pos = match.index + match[0].length;\n\t} else {\n\t\ttext = this.parser.source.substr(this.parser.pos);\n\t\tthis.parser.pos = this.parser.sourceLength;\n\t}\n\t// Return the $codeblock widget\n\treturn [{\n\t\t\ttype: \"codeblock\",\n\t\t\tattributes: {\n\t\t\t\t\tcode: {type: \"string\", value: text},\n\t\t\t\t\tlanguage: {type: \"string\", value: this.match[1]}\n\t\t\t}\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/codeinline.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/codeinline.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/codeinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for code runs. For example:\n\n```\n\tThis is a `code run`.\n\tThis is another ``code run``\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"codeinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /(``?)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar reEnd = new RegExp(this.match[1], \"mg\");\n\t// Look for the end marker\n\treEnd.lastIndex = this.parser.pos;\n\tvar match = reEnd.exec(this.parser.source),\n\t\ttext;\n\t// Process the text\n\tif(match) {\n\t\ttext = this.parser.source.substring(this.parser.pos,match.index);\n\t\tthis.parser.pos = match.index + match[0].length;\n\t} else {\n\t\ttext = this.parser.source.substr(this.parser.pos);\n\t\tthis.parser.pos = this.parser.sourceLength;\n\t}\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"code\",\n\t\tchildren: [{\n\t\t\ttype: \"text\",\n\t\t\ttext: text\n\t\t}]\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/commentblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/commentblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/commentblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for HTML comments. For example:\n\n```\n<!-- This is a comment -->\n```\n\nNote that the syntax for comments is simplified to an opening \"<!--\" sequence and a closing \"-->\" sequence -- HTML itself implements a more complex format (see http://ostermiller.org/findhtmlcomment.html)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"commentblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\tthis.matchRegExp = /<!--/mg;\n\tthis.endMatchRegExp = /-->/mg;\n};\n\nexports.findNextMatch = function(startPos) {\n\tthis.matchRegExp.lastIndex = startPos;\n\tthis.match = this.matchRegExp.exec(this.parser.source);\n\tif(this.match) {\n\t\tthis.endMatchRegExp.lastIndex = startPos + this.match[0].length;\n\t\tthis.endMatch = this.endMatchRegExp.exec(this.parser.source);\n\t\tif(this.endMatch) {\n\t\t\treturn this.match.index;\n\t\t}\n\t}\n\treturn undefined;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.endMatchRegExp.lastIndex;\n\t// Don't return any elements\n\treturn [];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/commentinline.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/commentinline.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/commentinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for HTML comments. For example:\n\n```\n<!-- This is a comment -->\n```\n\nNote that the syntax for comments is simplified to an opening \"<!--\" sequence and a closing \"-->\" sequence -- HTML itself implements a more complex format (see http://ostermiller.org/findhtmlcomment.html)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"commentinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\tthis.matchRegExp = /<!--/mg;\n\tthis.endMatchRegExp = /-->/mg;\n};\n\nexports.findNextMatch = function(startPos) {\n\tthis.matchRegExp.lastIndex = startPos;\n\tthis.match = this.matchRegExp.exec(this.parser.source);\n\tif(this.match) {\n\t\tthis.endMatchRegExp.lastIndex = startPos + this.match[0].length;\n\t\tthis.endMatch = this.endMatchRegExp.exec(this.parser.source);\n\t\tif(this.endMatch) {\n\t\t\treturn this.match.index;\n\t\t}\n\t}\n\treturn undefined;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.endMatchRegExp.lastIndex;\n\t// Don't return any elements\n\treturn [];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/dash.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/dash.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/dash.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for dashes. For example:\n\n```\nThis is an en-dash: --\n\nThis is an em-dash: ---\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"dash\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /-{2,3}(?!-)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar dash = this.match[0].length === 2 ? \"–\" : \"—\";\n\treturn [{\n\t\ttype: \"entity\",\n\t\tentity: dash\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/emphasis/bold.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/emphasis/bold.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/bold.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - bold. For example:\n\n```\n\tThis is ''bold'' text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except bold \n\\rules only bold \n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"bold\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /''/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/''/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"strong\",\n\t\tchildren: tree\n\t}];\n};\n\n})();",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/emphasis/italic.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/emphasis/italic.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/italic.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - italic. For example:\n\n```\n\tThis is //italic// text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except italic\n\\rules only italic\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"italic\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\/\\//mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/\\/\\//mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"em\",\n\t\tchildren: tree\n\t}];\n};\n\n})();",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/emphasis/strikethrough.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/emphasis/strikethrough.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/strikethrough.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - strikethrough. For example:\n\n```\n\tThis is ~~strikethrough~~ text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except strikethrough \n\\rules only strikethrough \n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"strikethrough\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /~~/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/~~/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"strike\",\n\t\tchildren: tree\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/emphasis/subscript.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/emphasis/subscript.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/subscript.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - subscript. For example:\n\n```\n\tThis is ,,subscript,, text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except subscript \n\\rules only subscript \n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"subscript\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /,,/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/,,/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"sub\",\n\t\tchildren: tree\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/emphasis/superscript.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/emphasis/superscript.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/superscript.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - superscript. For example:\n\n```\n\tThis is ^^superscript^^ text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except superscript \n\\rules only superscript \n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"superscript\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\^\\^/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/\\^\\^/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"sup\",\n\t\tchildren: tree\n\t}];\n};\n\n})();",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/emphasis/underscore.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/emphasis/underscore.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/underscore.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - underscore. For example:\n\n```\n\tThis is __underscore__ text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except underscore \n\\rules only underscore\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"underscore\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /__/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/__/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"u\",\n\t\tchildren: tree\n\t}];\n};\n\n})();",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/entity.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/entity.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/entity.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for HTML entities. For example:\n\n```\n\tThis is a copyright symbol: ©\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"entity\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /(&#?[a-zA-Z0-9]{2,8};)/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get all the details of the match\n\tvar entityString = this.match[1];\n\t// Move past the macro call\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Return the entity\n\treturn [{type: \"entity\", entity: this.match[0]}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/extlink.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/extlink.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/extlink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for external links. For example:\n\n```\nAn external link: https://www.tiddlywiki.com/\n\nA suppressed external link: ~http://www.tiddlyspace.com/\n```\n\nExternal links can be suppressed by preceding them with `~`.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"extlink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /~?(?:file|http|https|mailto|ftp|irc|news|data|skype):[^\\s<>{}\\[\\]`|\"\\\\^]+(?:\\/|\\b)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Create the link unless it is suppressed\n\tif(this.match[0].substr(0,1) === \"~\") {\n\t\treturn [{type: \"text\", text: this.match[0].substr(1)}];\n\t} else {\n\t\treturn [{\n\t\t\ttype: \"element\",\n\t\t\ttag: \"a\",\n\t\t\tattributes: {\n\t\t\t\thref: {type: \"string\", value: this.match[0]},\n\t\t\t\t\"class\": {type: \"string\", value: \"tc-tiddlylink-external\"},\n\t\t\t\ttarget: {type: \"string\", value: \"_blank\"},\n\t\t\t\trel: {type: \"string\", value: \"noopener noreferrer\"}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\", text: this.match[0]\n\t\t\t}]\n\t\t}];\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/filteredtranscludeblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/filteredtranscludeblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/filteredtranscludeblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for block-level filtered transclusion. For example:\n\n```\n{{{ [tag[docs]] }}}\n{{{ [tag[docs]] |tooltip}}}\n{{{ [tag[docs]] ||TemplateTitle}}}\n{{{ [tag[docs]] |tooltip||TemplateTitle}}}\n{{{ [tag[docs]] }}width:40;height:50;}.class.class\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"filteredtranscludeblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\{\\{\\{([^\\|]+?)(?:\\|([^\\|\\{\\}]+))?(?:\\|\\|([^\\|\\{\\}]+))?\\}\\}([^\\}]*)\\}(?:\\.(\\S+))?(?:\\r?\\n|$)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Get the match details\n\tvar filter = this.match[1],\n\t\ttooltip = this.match[2],\n\t\ttemplate = $tw.utils.trim(this.match[3]),\n\t\tstyle = this.match[4],\n\t\tclasses = this.match[5];\n\t// Return the list widget\n\tvar node = {\n\t\ttype: \"list\",\n\t\tattributes: {\n\t\t\tfilter: {type: \"string\", value: filter}\n\t\t},\n\t\tisBlock: true\n\t};\n\tif(tooltip) {\n\t\tnode.attributes.tooltip = {type: \"string\", value: tooltip};\n\t}\n\tif(template) {\n\t\tnode.attributes.template = {type: \"string\", value: template};\n\t}\n\tif(style) {\n\t\tnode.attributes.style = {type: \"string\", value: style};\n\t}\n\tif(classes) {\n\t\tnode.attributes.itemClass = {type: \"string\", value: classes.split(\".\").join(\" \")};\n\t}\n\treturn [node];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/filteredtranscludeinline.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/filteredtranscludeinline.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/filteredtranscludeinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for inline filtered transclusion. For example:\n\n```\n{{{ [tag[docs]] }}}\n{{{ [tag[docs]] |tooltip}}}\n{{{ [tag[docs]] ||TemplateTitle}}}\n{{{ [tag[docs]] |tooltip||TemplateTitle}}}\n{{{ [tag[docs]] }}width:40;height:50;}.class.class\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"filteredtranscludeinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\{\\{\\{([^\\|]+?)(?:\\|([^\\|\\{\\}]+))?(?:\\|\\|([^\\|\\{\\}]+))?\\}\\}([^\\}]*)\\}(?:\\.(\\S+))?/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Get the match details\n\tvar filter = this.match[1],\n\t\ttooltip = this.match[2],\n\t\ttemplate = $tw.utils.trim(this.match[3]),\n\t\tstyle = this.match[4],\n\t\tclasses = this.match[5];\n\t// Return the list widget\n\tvar node = {\n\t\ttype: \"list\",\n\t\tattributes: {\n\t\t\tfilter: {type: \"string\", value: filter}\n\t\t}\n\t};\n\tif(tooltip) {\n\t\tnode.attributes.tooltip = {type: \"string\", value: tooltip};\n\t}\n\tif(template) {\n\t\tnode.attributes.template = {type: \"string\", value: template};\n\t}\n\tif(style) {\n\t\tnode.attributes.style = {type: \"string\", value: style};\n\t}\n\tif(classes) {\n\t\tnode.attributes.itemClass = {type: \"string\", value: classes.split(\".\").join(\" \")};\n\t}\n\treturn [node];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/hardlinebreaks.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/hardlinebreaks.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/hardlinebreaks.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for marking areas with hard line breaks. For example:\n\n```\n\"\"\"\nThis is some text\nThat is set like\nIt is a Poem\nWhen it is\nClearly\nNot\n\"\"\"\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"hardlinebreaks\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\"\"\"(?:\\r?\\n)?/mg;\n};\n\nexports.parse = function() {\n\tvar reEnd = /(\"\"\")|(\\r?\\n)/mg,\n\t\ttree = [],\n\t\tmatch;\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tdo {\n\t\t// Parse the run up to the terminator\n\t\ttree.push.apply(tree,this.parser.parseInlineRun(reEnd,{eatTerminator: false}));\n\t\t// Redo the terminator match\n\t\treEnd.lastIndex = this.parser.pos;\n\t\tmatch = reEnd.exec(this.parser.source);\n\t\tif(match) {\n\t\t\tthis.parser.pos = reEnd.lastIndex;\n\t\t\t// Add a line break if the terminator was a line break\n\t\t\tif(match[2]) {\n\t\t\t\ttree.push({type: \"element\", tag: \"br\"});\n\t\t\t}\n\t\t}\n\t} while(match && !match[1]);\n\t// Return the nodes\n\treturn tree;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/heading.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/heading.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/heading.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for headings\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"heading\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /(!{1,6})/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get all the details of the match\n\tvar headingLevel = this.match[1].length;\n\t// Move past the !s\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse any classes, whitespace and then the heading itself\n\tvar classes = this.parser.parseClasses();\n\tthis.parser.skipWhitespace({treatNewlinesAsNonWhitespace: true});\n\tvar tree = this.parser.parseInlineRun(/(\\r?\\n)/mg);\n\t// Return the heading\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"h\" + headingLevel, \n\t\tattributes: {\n\t\t\t\"class\": {type: \"string\", value: classes.join(\" \")}\n\t\t},\n\t\tchildren: tree\n\t}];\n};\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/horizrule.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/horizrule.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/horizrule.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for rules. For example:\n\n```\n---\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"horizrule\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /-{3,}\\r?(?:\\n|$)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\treturn [{type: \"element\", tag: \"hr\"}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/html.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/html.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/html.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki rule for HTML elements and widgets. For example:\n\n{{{\n<aside>\nThis is an HTML5 aside element\n</aside>\n\n<$slider target=\"MyTiddler\">\nThis is a widget invocation\n</$slider>\n\n}}}\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"html\";\nexports.types = {inline: true, block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n};\n\nexports.findNextMatch = function(startPos) {\n\t// Find the next tag\n\tthis.nextTag = this.findNextTag(this.parser.source,startPos,{\n\t\trequireLineBreak: this.is.block\n\t});\n\treturn this.nextTag ? this.nextTag.start : undefined;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Retrieve the most recent match so that recursive calls don't overwrite it\n\tvar tag = this.nextTag;\n\tthis.nextTag = null;\n\t// Advance the parser position to past the tag\n\tthis.parser.pos = tag.end;\n\t// Check for an immediately following double linebreak\n\tvar hasLineBreak = !tag.isSelfClosing && !!$tw.utils.parseTokenRegExp(this.parser.source,this.parser.pos,/([^\\S\\n\\r]*\\r?\\n(?:[^\\S\\n\\r]*\\r?\\n|$))/g);\n\t// Set whether we're in block mode\n\ttag.isBlock = this.is.block || hasLineBreak;\n\t// Parse the body if we need to\n\tif(!tag.isSelfClosing && $tw.config.htmlVoidElements.indexOf(tag.tag) === -1) {\n\t\t\tvar reEndString = \"</\" + $tw.utils.escapeRegExp(tag.tag) + \">\",\n\t\t\t\treEnd = new RegExp(\"(\" + reEndString + \")\",\"mg\");\n\t\tif(hasLineBreak) {\n\t\t\ttag.children = this.parser.parseBlocks(reEndString);\n\t\t} else {\n\t\t\ttag.children = this.parser.parseInlineRun(reEnd);\n\t\t}\n\t\treEnd.lastIndex = this.parser.pos;\n\t\tvar endMatch = reEnd.exec(this.parser.source);\n\t\tif(endMatch && endMatch.index === this.parser.pos) {\n\t\t\tthis.parser.pos = endMatch.index + endMatch[0].length;\n\t\t}\n\t}\n\t// Return the tag\n\treturn [tag];\n};\n\n/*\nLook for an HTML tag. Returns null if not found, otherwise returns {type: \"element\", name:, attributes: [], isSelfClosing:, start:, end:,}\n*/\nexports.parseTag = function(source,pos,options) {\n\toptions = options || {};\n\tvar token,\n\t\tnode = {\n\t\t\ttype: \"element\",\n\t\t\tstart: pos,\n\t\t\tattributes: {}\n\t\t};\n\t// Define our regexps\n\tvar reTagName = /([a-zA-Z0-9\\-\\$]+)/g;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for a less than sign\n\ttoken = $tw.utils.parseTokenString(source,pos,\"<\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Get the tag name\n\ttoken = $tw.utils.parseTokenRegExp(source,pos,reTagName);\n\tif(!token) {\n\t\treturn null;\n\t}\n\tnode.tag = token.match[1];\n\tif(node.tag.slice(1).indexOf(\"$\") !== -1) {\n\t\treturn null;\n\t}\n\tif(node.tag.charAt(0) === \"$\") {\n\t\tnode.type = node.tag.substr(1);\n\t}\n\tpos = token.end;\n\t// Check that the tag is terminated by a space, / or >\n\tif(!$tw.utils.parseWhiteSpace(source,pos) && !(source.charAt(pos) === \"/\") && !(source.charAt(pos) === \">\") ) {\n\t\treturn null;\n\t}\n\t// Process attributes\n\tvar attribute = $tw.utils.parseAttribute(source,pos);\n\twhile(attribute) {\n\t\tnode.attributes[attribute.name] = attribute;\n\t\tpos = attribute.end;\n\t\t// Get the next attribute\n\t\tattribute = $tw.utils.parseAttribute(source,pos);\n\t}\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for a closing slash\n\ttoken = $tw.utils.parseTokenString(source,pos,\"/\");\n\tif(token) {\n\t\tpos = token.end;\n\t\tnode.isSelfClosing = true;\n\t}\n\t// Look for a greater than sign\n\ttoken = $tw.utils.parseTokenString(source,pos,\">\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Check for a required line break\n\tif(options.requireLineBreak) {\n\t\ttoken = $tw.utils.parseTokenRegExp(source,pos,/([^\\S\\n\\r]*\\r?\\n(?:[^\\S\\n\\r]*\\r?\\n|$))/g);\n\t\tif(!token) {\n\t\t\treturn null;\n\t\t}\n\t}\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\nexports.findNextTag = function(source,pos,options) {\n\t// A regexp for finding candidate HTML tags\n\tvar reLookahead = /<([a-zA-Z\\-\\$]+)/g;\n\t// Find the next candidate\n\treLookahead.lastIndex = pos;\n\tvar match = reLookahead.exec(source);\n\twhile(match) {\n\t\t// Try to parse the candidate as a tag\n\t\tvar tag = this.parseTag(source,match.index,options);\n\t\t// Return success\n\t\tif(tag && this.isLegalTag(tag)) {\n\t\t\treturn tag;\n\t\t}\n\t\t// Look for the next match\n\t\treLookahead.lastIndex = match.index + 1;\n\t\tmatch = reLookahead.exec(source);\n\t}\n\t// Failed\n\treturn null;\n};\n\nexports.isLegalTag = function(tag) {\n\t// Widgets are always OK\n\tif(tag.type !== \"element\") {\n\t\treturn true;\n\t// If it's an HTML tag that starts with a dash then it's not legal\n\t} else if(tag.tag.charAt(0) === \"-\") {\n\t\treturn false;\n\t} else {\n\t\t// Otherwise it's OK\n\t\treturn true;\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/image.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/image.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/image.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for embedding images. For example:\n\n```\n[img[https://tiddlywiki.com/fractalveg.jpg]]\n[img width=23 height=24 [https://tiddlywiki.com/fractalveg.jpg]]\n[img width={{!!width}} height={{!!height}} [https://tiddlywiki.com/fractalveg.jpg]]\n[img[Description of image|https://tiddlywiki.com/fractalveg.jpg]]\n[img[TiddlerTitle]]\n[img[Description of image|TiddlerTitle]]\n```\n\nGenerates the `<$image>` widget.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"image\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n};\n\nexports.findNextMatch = function(startPos) {\n\t// Find the next tag\n\tthis.nextImage = this.findNextImage(this.parser.source,startPos);\n\treturn this.nextImage ? this.nextImage.start : undefined;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.nextImage.end;\n\tvar node = {\n\t\ttype: \"image\",\n\t\tattributes: this.nextImage.attributes\n\t};\n\treturn [node];\n};\n\n/*\nFind the next image from the current position\n*/\nexports.findNextImage = function(source,pos) {\n\t// A regexp for finding candidate HTML tags\n\tvar reLookahead = /(\\[img)/g;\n\t// Find the next candidate\n\treLookahead.lastIndex = pos;\n\tvar match = reLookahead.exec(source);\n\twhile(match) {\n\t\t// Try to parse the candidate as a tag\n\t\tvar tag = this.parseImage(source,match.index);\n\t\t// Return success\n\t\tif(tag) {\n\t\t\treturn tag;\n\t\t}\n\t\t// Look for the next match\n\t\treLookahead.lastIndex = match.index + 1;\n\t\tmatch = reLookahead.exec(source);\n\t}\n\t// Failed\n\treturn null;\n};\n\n/*\nLook for an image at the specified position. Returns null if not found, otherwise returns {type: \"image\", attributes: [], isSelfClosing:, start:, end:,}\n*/\nexports.parseImage = function(source,pos) {\n\tvar token,\n\t\tnode = {\n\t\t\ttype: \"image\",\n\t\t\tstart: pos,\n\t\t\tattributes: {}\n\t\t};\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for the `[img`\n\ttoken = $tw.utils.parseTokenString(source,pos,\"[img\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Process attributes\n\tif(source.charAt(pos) !== \"[\") {\n\t\tvar attribute = $tw.utils.parseAttribute(source,pos);\n\t\twhile(attribute) {\n\t\t\tnode.attributes[attribute.name] = attribute;\n\t\t\tpos = attribute.end;\n\t\t\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t\t\tif(source.charAt(pos) !== \"[\") {\n\t\t\t\t// Get the next attribute\n\t\t\t\tattribute = $tw.utils.parseAttribute(source,pos);\n\t\t\t} else {\n\t\t\t\tattribute = null;\n\t\t\t}\n\t\t}\n\t}\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for the `[` after the attributes\n\ttoken = $tw.utils.parseTokenString(source,pos,\"[\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Get the source up to the terminating `]]`\n\ttoken = $tw.utils.parseTokenRegExp(source,pos,/(?:([^|\\]]*?)\\|)?([^\\]]+?)\\]\\]/g);\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\tif(token.match[1]) {\n\t\tnode.attributes.tooltip = {type: \"string\", value: token.match[1].trim()};\n\t}\n\tnode.attributes.source = {type: \"string\", value: (token.match[2] || \"\").trim()};\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/import.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/import.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/import.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki pragma rule for importing variable definitions\n\n```\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"import\";\nexports.types = {pragma: true};\n\n/*\nInstantiate parse rule\n*/\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /^\\\\import[^\\S\\n]/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\tvar self = this;\n\t// Move past the pragma invocation\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse the filter terminated by a line break\n\tvar reMatch = /(.*)(\\r?\\n)|$/mg;\n\treMatch.lastIndex = this.parser.pos;\n\tvar match = reMatch.exec(this.parser.source);\n\tthis.parser.pos = reMatch.lastIndex;\n\t// Parse tree nodes to return\n\treturn [{\n\t\ttype: \"importvariables\",\n\t\tattributes: {\n\t\t\tfilter: {type: \"string\", value: match[1]}\n\t\t},\n\t\tchildren: []\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/list.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/list.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/list.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for lists. For example:\n\n```\n* This is an unordered list\n* It has two items\n\n# This is a numbered list\n## With a subitem\n# And a third item\n\n; This is a term that is being defined\n: This is the definition of that term\n```\n\nNote that lists can be nested arbitrarily:\n\n```\n#** One\n#* Two\n#** Three\n#**** Four\n#**# Five\n#**## Six\n## Seven\n### Eight\n## Nine\n```\n\nA CSS class can be applied to a list item as follows:\n\n```\n* List item one\n*.active List item two has the class `active`\n* List item three\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"list\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /([\\*#;:>]+)/mg;\n};\n\nvar listTypes = {\n\t\"*\": {listTag: \"ul\", itemTag: \"li\"},\n\t\"#\": {listTag: \"ol\", itemTag: \"li\"},\n\t\";\": {listTag: \"dl\", itemTag: \"dt\"},\n\t\":\": {listTag: \"dl\", itemTag: \"dd\"},\n\t\">\": {listTag: \"blockquote\", itemTag: \"div\"}\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Array of parse tree nodes for the previous row of the list\n\tvar listStack = [];\n\t// Cycle through the items in the list\n\twhile(true) {\n\t\t// Match the list marker\n\t\tvar reMatch = /([\\*#;:>]+)/mg;\n\t\treMatch.lastIndex = this.parser.pos;\n\t\tvar match = reMatch.exec(this.parser.source);\n\t\tif(!match || match.index !== this.parser.pos) {\n\t\t\tbreak;\n\t\t}\n\t\t// Check whether the list type of the top level matches\n\t\tvar listInfo = listTypes[match[0].charAt(0)];\n\t\tif(listStack.length > 0 && listStack[0].tag !== listInfo.listTag) {\n\t\t\tbreak;\n\t\t}\n\t\t// Move past the list marker\n\t\tthis.parser.pos = match.index + match[0].length;\n\t\t// Walk through the list markers for the current row\n\t\tfor(var t=0; t<match[0].length; t++) {\n\t\t\tlistInfo = listTypes[match[0].charAt(t)];\n\t\t\t// Remove any stacked up element if we can't re-use it because the list type doesn't match\n\t\t\tif(listStack.length > t && listStack[t].tag !== listInfo.listTag) {\n\t\t\t\tlistStack.splice(t,listStack.length - t);\n\t\t\t}\n\t\t\t// Construct the list element or reuse the previous one at this level\n\t\t\tif(listStack.length <= t) {\n\t\t\t\tvar listElement = {type: \"element\", tag: listInfo.listTag, children: [\n\t\t\t\t\t{type: \"element\", tag: listInfo.itemTag, children: []}\n\t\t\t\t]};\n\t\t\t\t// Link this list element into the last child item of the parent list item\n\t\t\t\tif(t) {\n\t\t\t\t\tvar prevListItem = listStack[t-1].children[listStack[t-1].children.length-1];\n\t\t\t\t\tprevListItem.children.push(listElement);\n\t\t\t\t}\n\t\t\t\t// Save this element in the stack\n\t\t\t\tlistStack[t] = listElement;\n\t\t\t} else if(t === (match[0].length - 1)) {\n\t\t\t\tlistStack[t].children.push({type: \"element\", tag: listInfo.itemTag, children: []});\n\t\t\t}\n\t\t}\n\t\tif(listStack.length > match[0].length) {\n\t\t\tlistStack.splice(match[0].length,listStack.length - match[0].length);\n\t\t}\n\t\t// Process the body of the list item into the last list item\n\t\tvar lastListChildren = listStack[listStack.length-1].children,\n\t\t\tlastListItem = lastListChildren[lastListChildren.length-1],\n\t\t\tclasses = this.parser.parseClasses();\n\t\tthis.parser.skipWhitespace({treatNewlinesAsNonWhitespace: true});\n\t\tvar tree = this.parser.parseInlineRun(/(\\r?\\n)/mg);\n\t\tlastListItem.children.push.apply(lastListItem.children,tree);\n\t\tif(classes.length > 0) {\n\t\t\t$tw.utils.addClassToParseTreeNode(lastListItem,classes.join(\" \"));\n\t\t}\n\t\t// Consume any whitespace following the list item\n\t\tthis.parser.skipWhitespace();\n\t}\n\t// Return the root element of the list\n\treturn [listStack[0]];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/macrocallblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/macrocallblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/macrocallblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki rule for block macro calls\n\n```\n<<name value value2>>\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"macrocallblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /<<([^>\\s]+)(?:\\s*)((?:[^>]|(?:>(?!>)))*?)>>(?:\\r?\\n|$)/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get all the details of the match\n\tvar macroName = this.match[1],\n\t\tparamString = this.match[2];\n\t// Move past the macro call\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar params = [],\n\t\treParam = /\\s*(?:([A-Za-z0-9\\-_]+)\\s*:)?(?:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|\\[\\[([^\\]]*)\\]\\]|([^\"'\\s]+)))/mg,\n\t\tparamMatch = reParam.exec(paramString);\n\twhile(paramMatch) {\n\t\t// Process this parameter\n\t\tvar paramInfo = {\n\t\t\tvalue: paramMatch[2] || paramMatch[3] || paramMatch[4] || paramMatch[5] || paramMatch[6]\n\t\t};\n\t\tif(paramMatch[1]) {\n\t\t\tparamInfo.name = paramMatch[1];\n\t\t}\n\t\tparams.push(paramInfo);\n\t\t// Find the next match\n\t\tparamMatch = reParam.exec(paramString);\n\t}\n\treturn [{\n\t\ttype: \"macrocall\",\n\t\tname: macroName,\n\t\tparams: params,\n\t\tisBlock: true\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/macrocallinline.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/macrocallinline.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/macrocallinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki rule for macro calls\n\n```\n<<name value value2>>\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"macrocallinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /<<([^\\s>]+)\\s*([\\s\\S]*?)>>/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get all the details of the match\n\tvar macroName = this.match[1],\n\t\tparamString = this.match[2];\n\t// Move past the macro call\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar params = [],\n\t\treParam = /\\s*(?:([A-Za-z0-9\\-_]+)\\s*:)?(?:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|\\[\\[([^\\]]*)\\]\\]|([^\"'\\s]+)))/mg,\n\t\tparamMatch = reParam.exec(paramString);\n\twhile(paramMatch) {\n\t\t// Process this parameter\n\t\tvar paramInfo = {\n\t\t\tvalue: paramMatch[2] || paramMatch[3] || paramMatch[4] || paramMatch[5]|| paramMatch[6]\n\t\t};\n\t\tif(paramMatch[1]) {\n\t\t\tparamInfo.name = paramMatch[1];\n\t\t}\n\t\tparams.push(paramInfo);\n\t\t// Find the next match\n\t\tparamMatch = reParam.exec(paramString);\n\t}\n\treturn [{\n\t\ttype: \"macrocall\",\n\t\tname: macroName,\n\t\tparams: params\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/macrodef.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/macrodef.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/macrodef.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki pragma rule for macro definitions\n\n```\n\\define name(param:defaultvalue,param2:defaultvalue)\ndefinition text, including $param$ markers\n\\end\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"macrodef\";\nexports.types = {pragma: true};\n\n/*\nInstantiate parse rule\n*/\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /^\\\\define\\s+([^(\\s]+)\\(\\s*([^)]*)\\)(\\s*\\r?\\n)?/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Move past the macro name and parameters\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse the parameters\n\tvar paramString = this.match[2],\n\t\tparams = [];\n\tif(paramString !== \"\") {\n\t\tvar reParam = /\\s*([A-Za-z0-9\\-_]+)(?:\\s*:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|\\[\\[([^\\]]*)\\]\\]|([^\"'\\s]+)))?/mg,\n\t\t\tparamMatch = reParam.exec(paramString);\n\t\twhile(paramMatch) {\n\t\t\t// Save the parameter details\n\t\t\tvar paramInfo = {name: paramMatch[1]},\n\t\t\t\tdefaultValue = paramMatch[2] || paramMatch[3] || paramMatch[4] || paramMatch[5] || paramMatch[6];\n\t\t\tif(defaultValue) {\n\t\t\t\tparamInfo[\"default\"] = defaultValue;\n\t\t\t}\n\t\t\tparams.push(paramInfo);\n\t\t\t// Look for the next parameter\n\t\t\tparamMatch = reParam.exec(paramString);\n\t\t}\n\t}\n\t// Is this a multiline definition?\n\tvar reEnd;\n\tif(this.match[3]) {\n\t\t// If so, the end of the body is marked with \\end\n\t\treEnd = /(\\r?\\n\\\\end[^\\S\\n\\r]*(?:$|\\r?\\n))/mg;\n\t} else {\n\t\t// Otherwise, the end of the definition is marked by the end of the line\n\t\treEnd = /($|\\r?\\n)/mg;\n\t\t// Move past any whitespace\n\t\tthis.parser.pos = $tw.utils.skipWhiteSpace(this.parser.source,this.parser.pos);\n\t}\n\t// Find the end of the definition\n\treEnd.lastIndex = this.parser.pos;\n\tvar text,\n\t\tendMatch = reEnd.exec(this.parser.source);\n\tif(endMatch) {\n\t\ttext = this.parser.source.substring(this.parser.pos,endMatch.index);\n\t\tthis.parser.pos = endMatch.index + endMatch[0].length;\n\t} else {\n\t\t// We didn't find the end of the definition, so we'll make it blank\n\t\ttext = \"\";\n\t}\n\t// Save the macro definition\n\treturn [{\n\t\ttype: \"set\",\n\t\tattributes: {\n\t\t\tname: {type: \"string\", value: this.match[1]},\n\t\t\tvalue: {type: \"string\", value: text}\n\t\t},\n\t\tchildren: [],\n\t\tparams: params,\n\t\tisMacroDefinition: true\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/prettyextlink.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/prettyextlink.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/prettyextlink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for external links. For example:\n\n```\n[ext[https://tiddlywiki.com/fractalveg.jpg]]\n[ext[Tooltip|https://tiddlywiki.com/fractalveg.jpg]]\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"prettyextlink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n};\n\nexports.findNextMatch = function(startPos) {\n\t// Find the next tag\n\tthis.nextLink = this.findNextLink(this.parser.source,startPos);\n\treturn this.nextLink ? this.nextLink.start : undefined;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.nextLink.end;\n\treturn [this.nextLink];\n};\n\n/*\nFind the next link from the current position\n*/\nexports.findNextLink = function(source,pos) {\n\t// A regexp for finding candidate links\n\tvar reLookahead = /(\\[ext\\[)/g;\n\t// Find the next candidate\n\treLookahead.lastIndex = pos;\n\tvar match = reLookahead.exec(source);\n\twhile(match) {\n\t\t// Try to parse the candidate as a link\n\t\tvar link = this.parseLink(source,match.index);\n\t\t// Return success\n\t\tif(link) {\n\t\t\treturn link;\n\t\t}\n\t\t// Look for the next match\n\t\treLookahead.lastIndex = match.index + 1;\n\t\tmatch = reLookahead.exec(source);\n\t}\n\t// Failed\n\treturn null;\n};\n\n/*\nLook for an link at the specified position. Returns null if not found, otherwise returns {type: \"element\", tag: \"a\", attributes: [], isSelfClosing:, start:, end:,}\n*/\nexports.parseLink = function(source,pos) {\n\tvar token,\n\t\ttextNode = {\n\t\t\ttype: \"text\"\n\t\t},\n\t\tnode = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"a\",\n\t\t\tstart: pos,\n\t\t\tattributes: {\n\t\t\t\t\"class\": {type: \"string\", value: \"tc-tiddlylink-external\"},\n\t\t\t},\n\t\t\tchildren: [textNode]\n\t\t};\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for the `[ext[`\n\ttoken = $tw.utils.parseTokenString(source,pos,\"[ext[\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Look ahead for the terminating `]]`\n\tvar closePos = source.indexOf(\"]]\",pos);\n\tif(closePos === -1) {\n\t\treturn null;\n\t}\n\t// Look for a `|` separating the tooltip\n\tvar splitPos = source.indexOf(\"|\",pos);\n\tif(splitPos === -1 || splitPos > closePos) {\n\t\tsplitPos = null;\n\t}\n\t// Pull out the tooltip and URL\n\tvar tooltip, URL;\n\tif(splitPos) {\n\t\tURL = source.substring(splitPos + 1,closePos).trim();\n\t\ttextNode.text = source.substring(pos,splitPos).trim();\n\t} else {\n\t\tURL = source.substring(pos,closePos).trim();\n\t\ttextNode.text = URL;\n\t}\n\tnode.attributes.href = {type: \"string\", value: URL};\n\tnode.attributes.target = {type: \"string\", value: \"_blank\"};\n\tnode.attributes.rel = {type: \"string\", value: \"noopener noreferrer\"};\n\t// Update the end position\n\tnode.end = closePos + 2;\n\treturn node;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/prettylink.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/prettylink.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/prettylink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for pretty links. For example:\n\n```\n[[Introduction]]\n\n[[Link description|TiddlerTitle]]\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"prettylink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\[\\[(.*?)(?:\\|(.*?))?\\]\\]/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Process the link\n\tvar text = this.match[1],\n\t\tlink = this.match[2] || text;\n\tif($tw.utils.isLinkExternal(link)) {\n\t\treturn [{\n\t\t\ttype: \"element\",\n\t\t\ttag: \"a\",\n\t\t\tattributes: {\n\t\t\t\thref: {type: \"string\", value: link},\n\t\t\t\t\"class\": {type: \"string\", value: \"tc-tiddlylink-external\"},\n\t\t\t\ttarget: {type: \"string\", value: \"_blank\"},\n\t\t\t\trel: {type: \"string\", value: \"noopener noreferrer\"}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\", text: text\n\t\t\t}]\n\t\t}];\n\t} else {\n\t\treturn [{\n\t\t\ttype: \"link\",\n\t\t\tattributes: {\n\t\t\t\tto: {type: \"string\", value: link}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\", text: text\n\t\t\t}]\n\t\t}];\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/quoteblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/quoteblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/quoteblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for quote blocks. For example:\n\n```\n\t<<<.optionalClass(es) optional cited from\n\ta quote\n\t<<<\n\t\n\t<<<.optionalClass(es)\n\ta quote\n\t<<< optional cited from\n```\n\nQuotes can be quoted by putting more <s\n\n```\n\t<<<\n\tQuote Level 1\n\t\n\t<<<<\n\tQuoteLevel 2\n\t<<<<\n\t\n\t<<<\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"quoteblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /(<<<+)/mg;\n};\n\nexports.parse = function() {\n\tvar classes = [\"tc-quote\"];\n\t// Get all the details of the match\n\tvar reEndString = \"^\" + this.match[1] + \"(?!<)\";\n\t// Move past the <s\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t\n\t// Parse any classes, whitespace and then the optional cite itself\n\tclasses.push.apply(classes, this.parser.parseClasses());\n\tthis.parser.skipWhitespace({treatNewlinesAsNonWhitespace: true});\n\tvar cite = this.parser.parseInlineRun(/(\\r?\\n)/mg);\n\t// before handling the cite, parse the body of the quote\n\tvar tree= this.parser.parseBlocks(reEndString);\n\t// If we got a cite, put it before the text\n\tif(cite.length > 0) {\n\t\ttree.unshift({\n\t\t\ttype: \"element\",\n\t\t\ttag: \"cite\",\n\t\t\tchildren: cite\n\t\t});\n\t}\n\t// Parse any optional cite\n\tthis.parser.skipWhitespace({treatNewlinesAsNonWhitespace: true});\n\tcite = this.parser.parseInlineRun(/(\\r?\\n)/mg);\n\t// If we got a cite, push it\n\tif(cite.length > 0) {\n\t\ttree.push({\n\t\t\ttype: \"element\",\n\t\t\ttag: \"cite\",\n\t\t\tchildren: cite\n\t\t});\n\t}\n\t// Return the blockquote element\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"blockquote\",\n\t\tattributes: {\n\t\t\tclass: { type: \"string\", value: classes.join(\" \") },\n\t\t},\n\t\tchildren: tree\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/rules.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/rules.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/rules.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki pragma rule for rules specifications\n\n```\n\\rules except ruleone ruletwo rulethree\n\\rules only ruleone ruletwo rulethree\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"rules\";\nexports.types = {pragma: true};\n\n/*\nInstantiate parse rule\n*/\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /^\\\\rules[^\\S\\n]/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Move past the pragma invocation\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse whitespace delimited tokens terminated by a line break\n\tvar reMatch = /[^\\S\\n]*(\\S+)|(\\r?\\n)/mg,\n\t\ttokens = [];\n\treMatch.lastIndex = this.parser.pos;\n\tvar match = reMatch.exec(this.parser.source);\n\twhile(match && match.index === this.parser.pos) {\n\t\tthis.parser.pos = reMatch.lastIndex;\n\t\t// Exit if we've got the line break\n\t\tif(match[2]) {\n\t\t\tbreak;\n\t\t}\n\t\t// Process the token\n\t\tif(match[1]) {\n\t\t\ttokens.push(match[1]);\n\t\t}\n\t\t// Match the next token\n\t\tmatch = reMatch.exec(this.parser.source);\n\t}\n\t// Process the tokens\n\tif(tokens.length > 0) {\n\t\tthis.parser.amendRules(tokens[0],tokens.slice(1));\n\t}\n\t// No parse tree nodes to return\n\treturn [];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/styleblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/styleblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/styleblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for assigning styles and classes to paragraphs and other blocks. For example:\n\n```\n@@.myClass\n@@background-color:red;\nThis paragraph will have the CSS class `myClass`.\n\n* The `<ul>` around this list will also have the class `myClass`\n* List item 2\n\n@@\n```\n\nNote that classes and styles can be mixed subject to the rule that styles must precede classes. For example\n\n```\n@@.myFirstClass.mySecondClass\n@@width:100px;.myThirdClass\nThis is a paragraph\n@@\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"styleblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /@@((?:[^\\.\\r\\n\\s:]+:[^\\r\\n;]+;)+)?(?:\\.([^\\r\\n\\s]+))?\\r?\\n/mg;\n};\n\nexports.parse = function() {\n\tvar reEndString = \"^@@(?:\\\\r?\\\\n)?\";\n\tvar classes = [], styles = [];\n\tdo {\n\t\t// Get the class and style\n\t\tif(this.match[1]) {\n\t\t\tstyles.push(this.match[1]);\n\t\t}\n\t\tif(this.match[2]) {\n\t\t\tclasses.push(this.match[2].split(\".\").join(\" \"));\n\t\t}\n\t\t// Move past the match\n\t\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t\t// Look for another line of classes and styles\n\t\tthis.match = this.matchRegExp.exec(this.parser.source);\n\t} while(this.match && this.match.index === this.parser.pos);\n\t// Parse the body\n\tvar tree = this.parser.parseBlocks(reEndString);\n\tfor(var t=0; t<tree.length; t++) {\n\t\tif(classes.length > 0) {\n\t\t\t$tw.utils.addClassToParseTreeNode(tree[t],classes.join(\" \"));\n\t\t}\n\t\tif(styles.length > 0) {\n\t\t\t$tw.utils.addAttributeToParseTreeNode(tree[t],\"style\",styles.join(\"\"));\n\t\t}\n\t}\n\treturn tree;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/styleinline.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/styleinline.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/styleinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for assigning styles and classes to inline runs. For example:\n\n```\n@@.myClass This is some text with a class@@\n@@background-color:red;This is some text with a background colour@@\n@@width:100px;.myClass This is some text with a class and a width@@\n```\n\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"styleinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /@@((?:[^\\.\\r\\n\\s:]+:[^\\r\\n;]+;)+)?(\\.(?:[^\\r\\n\\s]+)\\s+)?/mg;\n};\n\nexports.parse = function() {\n\tvar reEnd = /@@/g;\n\t// Get the styles and class\n\tvar stylesString = this.match[1],\n\t\tclassString = this.match[2] ? this.match[2].split(\".\").join(\" \") : undefined;\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse the run up to the terminator\n\tvar tree = this.parser.parseInlineRun(reEnd,{eatTerminator: true});\n\t// Return the classed span\n\tvar node = {\n\t\ttype: \"element\",\n\t\ttag: \"span\",\n\t\tattributes: {\n\t\t\t\"class\": {type: \"string\", value: \"tc-inline-style\"}\n\t\t},\n\t\tchildren: tree\n\t};\n\tif(classString) {\n\t\t$tw.utils.addClassToParseTreeNode(node,classString);\n\t}\n\tif(stylesString) {\n\t\t$tw.utils.addAttributeToParseTreeNode(node,\"style\",stylesString);\n\t}\n\treturn [node];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/syslink.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/syslink.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/syslink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for system tiddler links.\nCan be suppressed preceding them with `~`.\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"syslink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = new RegExp(\n\t\t\"~?\\\\$:\\\\/[\" +\n\t\t$tw.config.textPrimitives.anyLetter.substr(1,$tw.config.textPrimitives.anyLetter.length - 2) +\n\t\t\"\\/._-]+\",\n\t\t\"mg\"\n\t);\n};\n\nexports.parse = function() {\n\tvar match = this.match[0];\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Create the link unless it is suppressed\n\tif(match.substr(0,1) === \"~\") {\n\t\treturn [{type: \"text\", text: match.substr(1)}];\n\t} else {\n\t\treturn [{\n\t\t\ttype: \"link\",\n\t\t\tattributes: {\n\t\t\t\tto: {type: \"string\", value: match}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\",\n\t\t\t\ttext: match\n\t\t\t}]\n\t\t}];\n\t}\n};\n\n})();",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/table.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/table.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/table.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for tables.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"table\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /^\\|(?:[^\\n]*)\\|(?:[fhck]?)\\r?(?:\\n|$)/mg;\n};\n\nvar processRow = function(prevColumns) {\n\tvar cellRegExp = /(?:\\|([^\\n\\|]*)\\|)|(\\|[fhck]?\\r?(?:\\n|$))/mg,\n\t\tcellTermRegExp = /((?:\\x20*)\\|)/mg,\n\t\ttree = [],\n\t\tcol = 0,\n\t\tcolSpanCount = 1,\n\t\tprevCell,\n\t\tvAlign;\n\t// Match a single cell\n\tcellRegExp.lastIndex = this.parser.pos;\n\tvar cellMatch = cellRegExp.exec(this.parser.source);\n\twhile(cellMatch && cellMatch.index === this.parser.pos) {\n\t\tif(cellMatch[1] === \"~\") {\n\t\t\t// Rowspan\n\t\t\tvar last = prevColumns[col];\n\t\t\tif(last) {\n\t\t\t\tlast.rowSpanCount++;\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(last.element,\"rowspan\",last.rowSpanCount);\n\t\t\t\tvAlign = $tw.utils.getAttributeValueFromParseTreeNode(last.element,\"valign\",\"center\");\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(last.element,\"valign\",vAlign);\n\t\t\t\tif(colSpanCount > 1) {\n\t\t\t\t\t$tw.utils.addAttributeToParseTreeNode(last.element,\"colspan\",colSpanCount);\n\t\t\t\t\tcolSpanCount = 1;\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Move to just before the `|` terminating the cell\n\t\t\tthis.parser.pos = cellRegExp.lastIndex - 1;\n\t\t} else if(cellMatch[1] === \">\") {\n\t\t\t// Colspan\n\t\t\tcolSpanCount++;\n\t\t\t// Move to just before the `|` terminating the cell\n\t\t\tthis.parser.pos = cellRegExp.lastIndex - 1;\n\t\t} else if(cellMatch[1] === \"<\" && prevCell) {\n\t\t\tcolSpanCount = 1 + $tw.utils.getAttributeValueFromParseTreeNode(prevCell,\"colspan\",1);\n\t\t\t$tw.utils.addAttributeToParseTreeNode(prevCell,\"colspan\",colSpanCount);\n\t\t\tcolSpanCount = 1;\n\t\t\t// Move to just before the `|` terminating the cell\n\t\t\tthis.parser.pos = cellRegExp.lastIndex - 1;\n\t\t} else if(cellMatch[2]) {\n\t\t\t// End of row\n\t\t\tif(prevCell && colSpanCount > 1) {\n\t\t\t\tif(prevCell.attributes && prevCell.attributes && prevCell.attributes.colspan) {\n\t\t\t\t\t\tcolSpanCount += prevCell.attributes.colspan.value;\n\t\t\t\t} else {\n\t\t\t\t\tcolSpanCount -= 1;\n\t\t\t\t}\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(prevCell,\"colspan\",colSpanCount);\n\t\t\t}\n\t\t\tthis.parser.pos = cellRegExp.lastIndex - 1;\n\t\t\tbreak;\n\t\t} else {\n\t\t\t// For ordinary cells, step beyond the opening `|`\n\t\t\tthis.parser.pos++;\n\t\t\t// Look for a space at the start of the cell\n\t\t\tvar spaceLeft = false;\n\t\t\tvAlign = null;\n\t\t\tif(this.parser.source.substr(this.parser.pos).search(/^\\^([^\\^]|\\^\\^)/) === 0) {\n\t\t\t\tvAlign = \"top\";\n\t\t\t} else if(this.parser.source.substr(this.parser.pos).search(/^,([^,]|,,)/) === 0) {\n\t\t\t\tvAlign = \"bottom\";\n\t\t\t}\n\t\t\tif(vAlign) {\n\t\t\t\tthis.parser.pos++;\n\t\t\t}\n\t\t\tvar chr = this.parser.source.substr(this.parser.pos,1);\n\t\t\twhile(chr === \" \") {\n\t\t\t\tspaceLeft = true;\n\t\t\t\tthis.parser.pos++;\n\t\t\t\tchr = this.parser.source.substr(this.parser.pos,1);\n\t\t\t}\n\t\t\t// Check whether this is a heading cell\n\t\t\tvar cell;\n\t\t\tif(chr === \"!\") {\n\t\t\t\tthis.parser.pos++;\n\t\t\t\tcell = {type: \"element\", tag: \"th\", children: []};\n\t\t\t} else {\n\t\t\t\tcell = {type: \"element\", tag: \"td\", children: []};\n\t\t\t}\n\t\t\ttree.push(cell);\n\t\t\t// Record information about this cell\n\t\t\tprevCell = cell;\n\t\t\tprevColumns[col] = {rowSpanCount:1,element:cell};\n\t\t\t// Check for a colspan\n\t\t\tif(colSpanCount > 1) {\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(cell,\"colspan\",colSpanCount);\n\t\t\t\tcolSpanCount = 1;\n\t\t\t}\n\t\t\t// Parse the cell\n\t\t\tcell.children = this.parser.parseInlineRun(cellTermRegExp,{eatTerminator: true});\n\t\t\t// Set the alignment for the cell\n\t\t\tif(vAlign) {\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(cell,\"valign\",vAlign);\n\t\t\t}\n\t\t\tif(this.parser.source.substr(this.parser.pos - 2,1) === \" \") { // spaceRight\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(cell,\"align\",spaceLeft ? \"center\" : \"left\");\n\t\t\t} else if(spaceLeft) {\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(cell,\"align\",\"right\");\n\t\t\t}\n\t\t\t// Move back to the closing `|`\n\t\t\tthis.parser.pos--;\n\t\t}\n\t\tcol++;\n\t\tcellRegExp.lastIndex = this.parser.pos;\n\t\tcellMatch = cellRegExp.exec(this.parser.source);\n\t}\n\treturn tree;\n};\n\nexports.parse = function() {\n\tvar rowContainerTypes = {\"c\":\"caption\", \"h\":\"thead\", \"\":\"tbody\", \"f\":\"tfoot\"},\n\t\ttable = {type: \"element\", tag: \"table\", children: []},\n\t\trowRegExp = /^\\|([^\\n]*)\\|([fhck]?)\\r?(?:\\n|$)/mg,\n\t\trowTermRegExp = /(\\|(?:[fhck]?)\\r?(?:\\n|$))/mg,\n\t\tprevColumns = [],\n\t\tcurrRowType,\n\t\trowContainer,\n\t\trowCount = 0;\n\t// Match the row\n\trowRegExp.lastIndex = this.parser.pos;\n\tvar rowMatch = rowRegExp.exec(this.parser.source);\n\twhile(rowMatch && rowMatch.index === this.parser.pos) {\n\t\tvar rowType = rowMatch[2];\n\t\t// Check if it is a class assignment\n\t\tif(rowType === \"k\") {\n\t\t\t$tw.utils.addClassToParseTreeNode(table,rowMatch[1]);\n\t\t\tthis.parser.pos = rowMatch.index + rowMatch[0].length;\n\t\t} else {\n\t\t\t// Otherwise, create a new row if this one is of a different type\n\t\t\tif(rowType !== currRowType) {\n\t\t\t\trowContainer = {type: \"element\", tag: rowContainerTypes[rowType], children: []};\n\t\t\t\ttable.children.push(rowContainer);\n\t\t\t\tcurrRowType = rowType;\n\t\t\t}\n\t\t\t// Is this a caption row?\n\t\t\tif(currRowType === \"c\") {\n\t\t\t\t// If so, move past the opening `|` of the row\n\t\t\t\tthis.parser.pos++;\n\t\t\t\t// Move the caption to the first row if it isn't already\n\t\t\t\tif(table.children.length !== 1) {\n\t\t\t\t\ttable.children.pop(); // Take rowContainer out of the children array\n\t\t\t\t\ttable.children.splice(0,0,rowContainer); // Insert it at the bottom\t\t\t\t\t\t\n\t\t\t\t}\n\t\t\t\t// Set the alignment - TODO: figure out why TW did this\n//\t\t\t\trowContainer.attributes.align = rowCount === 0 ? \"top\" : \"bottom\";\n\t\t\t\t// Parse the caption\n\t\t\t\trowContainer.children = this.parser.parseInlineRun(rowTermRegExp,{eatTerminator: true});\n\t\t\t} else {\n\t\t\t\t// Create the row\n\t\t\t\tvar theRow = {type: \"element\", tag: \"tr\", children: []};\n\t\t\t\t$tw.utils.addClassToParseTreeNode(theRow,rowCount%2 ? \"oddRow\" : \"evenRow\");\n\t\t\t\trowContainer.children.push(theRow);\n\t\t\t\t// Process the row\n\t\t\t\ttheRow.children = processRow.call(this,prevColumns);\n\t\t\t\tthis.parser.pos = rowMatch.index + rowMatch[0].length;\n\t\t\t\t// Increment the row count\n\t\t\t\trowCount++;\n\t\t\t}\n\t\t}\n\t\trowMatch = rowRegExp.exec(this.parser.source);\n\t}\n\treturn [table];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/transcludeblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/transcludeblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/transcludeblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for block-level transclusion. For example:\n\n```\n{{MyTiddler}}\n{{MyTiddler||TemplateTitle}}\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"transcludeblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\{\\{([^\\{\\}\\|]*)(?:\\|\\|([^\\|\\{\\}]+))?\\}\\}(?:\\r?\\n|$)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Get the match details\n\tvar template = $tw.utils.trim(this.match[2]),\n\t\ttextRef = $tw.utils.trim(this.match[1]);\n\t// Prepare the transclude widget\n\tvar transcludeNode = {\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {},\n\t\t\tisBlock: true\n\t\t};\n\t// Prepare the tiddler widget\n\tvar tr, targetTitle, targetField, targetIndex, tiddlerNode;\n\tif(textRef) {\n\t\ttr = $tw.utils.parseTextReference(textRef);\n\t\ttargetTitle = tr.title;\n\t\ttargetField = tr.field;\n\t\ttargetIndex = tr.index;\n\t\ttiddlerNode = {\n\t\t\ttype: \"tiddler\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: targetTitle}\n\t\t\t},\n\t\t\tisBlock: true,\n\t\t\tchildren: [transcludeNode]\n\t\t};\n\t}\n\tif(template) {\n\t\ttranscludeNode.attributes.tiddler = {type: \"string\", value: template};\n\t\tif(textRef) {\n\t\t\treturn [tiddlerNode];\n\t\t} else {\n\t\t\treturn [transcludeNode];\n\t\t}\n\t} else {\n\t\tif(textRef) {\n\t\t\ttranscludeNode.attributes.tiddler = {type: \"string\", value: targetTitle};\n\t\t\tif(targetField) {\n\t\t\t\ttranscludeNode.attributes.field = {type: \"string\", value: targetField};\n\t\t\t}\n\t\t\tif(targetIndex) {\n\t\t\t\ttranscludeNode.attributes.index = {type: \"string\", value: targetIndex};\n\t\t\t}\n\t\t\treturn [tiddlerNode];\n\t\t} else {\n\t\t\treturn [transcludeNode];\n\t\t}\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/transcludeinline.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/transcludeinline.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/transcludeinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for inline-level transclusion. For example:\n\n```\n{{MyTiddler}}\n{{MyTiddler||TemplateTitle}}\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"transcludeinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\{\\{([^\\{\\}\\|]*)(?:\\|\\|([^\\|\\{\\}]+))?\\}\\}/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Get the match details\n\tvar template = $tw.utils.trim(this.match[2]),\n\t\ttextRef = $tw.utils.trim(this.match[1]);\n\t// Prepare the transclude widget\n\tvar transcludeNode = {\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {}\n\t\t};\n\t// Prepare the tiddler widget\n\tvar tr, targetTitle, targetField, targetIndex, tiddlerNode;\n\tif(textRef) {\n\t\ttr = $tw.utils.parseTextReference(textRef);\n\t\ttargetTitle = tr.title;\n\t\ttargetField = tr.field;\n\t\ttargetIndex = tr.index;\n\t\ttiddlerNode = {\n\t\t\ttype: \"tiddler\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: targetTitle}\n\t\t\t},\n\t\t\tchildren: [transcludeNode]\n\t\t};\n\t}\n\tif(template) {\n\t\ttranscludeNode.attributes.tiddler = {type: \"string\", value: template};\n\t\tif(textRef) {\n\t\t\treturn [tiddlerNode];\n\t\t} else {\n\t\t\treturn [transcludeNode];\n\t\t}\n\t} else {\n\t\tif(textRef) {\n\t\t\ttranscludeNode.attributes.tiddler = {type: \"string\", value: targetTitle};\n\t\t\tif(targetField) {\n\t\t\t\ttranscludeNode.attributes.field = {type: \"string\", value: targetField};\n\t\t\t}\n\t\t\tif(targetIndex) {\n\t\t\t\ttranscludeNode.attributes.index = {type: \"string\", value: targetIndex};\n\t\t\t}\n\t\t\treturn [tiddlerNode];\n\t\t} else {\n\t\t\treturn [transcludeNode];\n\t\t}\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/typedblock.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/typedblock.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/typedblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for typed blocks. For example:\n\n```\n$$$.js\nThis will be rendered as JavaScript\n$$$\n\n$$$.svg\n<svg xmlns=\"http://www.w3.org/2000/svg\" width=\"150\" height=\"100\">\n <circle cx=\"100\" cy=\"50\" r=\"40\" stroke=\"black\" stroke-width=\"2\" fill=\"red\" />\n</svg>\n$$$\n\n$$$text/vnd.tiddlywiki>text/html\nThis will be rendered as an //HTML representation// of WikiText\n$$$\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.name = \"typedblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\$\\$\\$([^ >\\r\\n]*)(?: *> *([^ \\r\\n]+))?\\r?\\n/mg;\n};\n\nexports.parse = function() {\n\tvar reEnd = /\\r?\\n\\$\\$\\$\\r?(?:\\n|$)/mg;\n\t// Save the type\n\tvar parseType = this.match[1],\n\t\trenderType = this.match[2];\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Look for the end of the block\n\treEnd.lastIndex = this.parser.pos;\n\tvar match = reEnd.exec(this.parser.source),\n\t\ttext;\n\t// Process the block\n\tif(match) {\n\t\ttext = this.parser.source.substring(this.parser.pos,match.index);\n\t\tthis.parser.pos = match.index + match[0].length;\n\t} else {\n\t\ttext = this.parser.source.substr(this.parser.pos);\n\t\tthis.parser.pos = this.parser.sourceLength;\n\t}\n\t// Parse the block according to the specified type\n\tvar parser = this.parser.wiki.parseText(parseType,text,{defaultType: \"text/plain\"});\n\t// If there's no render type, just return the parse tree\n\tif(!renderType) {\n\t\treturn parser.tree;\n\t} else {\n\t\t// Otherwise, render to the rendertype and return in a <PRE> tag\n\t\tvar widgetNode = this.parser.wiki.makeWidget(parser),\n\t\t\tcontainer = $tw.fakeDocument.createElement(\"div\");\n\t\twidgetNode.render(container,null);\n\t\ttext = renderType === \"text/html\" ? container.innerHTML : container.textContent;\n\t\treturn [{\n\t\t\ttype: \"element\",\n\t\t\ttag: \"pre\",\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\",\n\t\t\t\ttext: text\n\t\t\t}]\n\t\t}];\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/whitespace.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/whitespace.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/whitespace.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki pragma rule for whitespace specifications\n\n```\n\\whitespace trim\n\\whitespace notrim\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"whitespace\";\nexports.types = {pragma: true};\n\n/*\nInstantiate parse rule\n*/\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /^\\\\whitespace[^\\S\\n]/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\tvar self = this;\n\t// Move past the pragma invocation\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse whitespace delimited tokens terminated by a line break\n\tvar reMatch = /[^\\S\\n]*(\\S+)|(\\r?\\n)/mg,\n\t\ttokens = [];\n\treMatch.lastIndex = this.parser.pos;\n\tvar match = reMatch.exec(this.parser.source);\n\twhile(match && match.index === this.parser.pos) {\n\t\tthis.parser.pos = reMatch.lastIndex;\n\t\t// Exit if we've got the line break\n\t\tif(match[2]) {\n\t\t\tbreak;\n\t\t}\n\t\t// Process the token\n\t\tif(match[1]) {\n\t\t\ttokens.push(match[1]);\n\t\t}\n\t\t// Match the next token\n\t\tmatch = reMatch.exec(this.parser.source);\n\t}\n\t// Process the tokens\n\t$tw.utils.each(tokens,function(token) {\n\t\tswitch(token) {\n\t\t\tcase \"trim\":\n\t\t\t\tself.parser.configTrimWhiteSpace = true;\n\t\t\t\tbreak;\n\t\t\tcase \"notrim\":\n\t\t\t\tself.parser.configTrimWhiteSpace = false;\n\t\t\t\tbreak;\n\t\t}\n\t});\n\t// No parse tree nodes to return\n\treturn [];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/wikilink.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/wikilink.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/wikilink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for wiki links. For example:\n\n```\nAWikiLink\nAnotherLink\n~SuppressedLink\n```\n\nPrecede a camel case word with `~` to prevent it from being recognised as a link.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"wikilink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = new RegExp($tw.config.textPrimitives.unWikiLink + \"?\" + $tw.config.textPrimitives.wikiLink,\"mg\");\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get the details of the match\n\tvar linkText = this.match[0];\n\t// Move past the macro call\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// If the link starts with the unwikilink character then just output it as plain text\n\tif(linkText.substr(0,1) === $tw.config.textPrimitives.unWikiLink) {\n\t\treturn [{type: \"text\", text: linkText.substr(1)}];\n\t}\n\t// If the link has been preceded with a blocked letter then don't treat it as a link\n\tif(this.match.index > 0) {\n\t\tvar preRegExp = new RegExp($tw.config.textPrimitives.blockPrefixLetters,\"mg\");\n\t\tpreRegExp.lastIndex = this.match.index-1;\n\t\tvar preMatch = preRegExp.exec(this.parser.source);\n\t\tif(preMatch && preMatch.index === this.match.index-1) {\n\t\t\treturn [{type: \"text\", text: linkText}];\n\t\t}\n\t}\n\treturn [{\n\t\ttype: \"link\",\n\t\tattributes: {\n\t\t\tto: {type: \"string\", value: linkText}\n\t\t},\n\t\tchildren: [{\n\t\t\ttype: \"text\",\n\t\t\ttext: linkText\n\t\t}]\n\t}];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/wikiparser.js": {
"title": "$:/core/modules/parsers/wikiparser/wikiparser.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/wikiparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe wiki text parser processes blocks of source text into a parse tree.\n\nThe parse tree is made up of nested arrays of these JavaScript objects:\n\n\t{type: \"element\", tag: <string>, attributes: {}, children: []} - an HTML element\n\t{type: \"text\", text: <string>} - a text node\n\t{type: \"entity\", value: <string>} - an entity\n\t{type: \"raw\", html: <string>} - raw HTML\n\nAttributes are stored as hashmaps of the following objects:\n\n\t{type: \"string\", value: <string>} - literal string\n\t{type: \"indirect\", textReference: <textReference>} - indirect through a text reference\n\t{type: \"macro\", macro: <TBD>} - indirect through a macro invocation\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar WikiParser = function(type,text,options) {\n\tthis.wiki = options.wiki;\n\tvar self = this;\n\t// Check for an externally linked tiddler\n\tif($tw.browser && (text || \"\") === \"\" && options._canonical_uri) {\n\t\tthis.loadRemoteTiddler(options._canonical_uri);\n\t\ttext = $tw.language.getRawString(\"LazyLoadingWarning\");\n\t}\n\t// Initialise the classes if we don't have them already\n\tif(!this.pragmaRuleClasses) {\n\t\tWikiParser.prototype.pragmaRuleClasses = $tw.modules.createClassesFromModules(\"wikirule\",\"pragma\",$tw.WikiRuleBase);\n\t\tthis.setupRules(WikiParser.prototype.pragmaRuleClasses,\"$:/config/WikiParserRules/Pragmas/\");\n\t}\n\tif(!this.blockRuleClasses) {\n\t\tWikiParser.prototype.blockRuleClasses = $tw.modules.createClassesFromModules(\"wikirule\",\"block\",$tw.WikiRuleBase);\n\t\tthis.setupRules(WikiParser.prototype.blockRuleClasses,\"$:/config/WikiParserRules/Block/\");\n\t}\n\tif(!this.inlineRuleClasses) {\n\t\tWikiParser.prototype.inlineRuleClasses = $tw.modules.createClassesFromModules(\"wikirule\",\"inline\",$tw.WikiRuleBase);\n\t\tthis.setupRules(WikiParser.prototype.inlineRuleClasses,\"$:/config/WikiParserRules/Inline/\");\n\t}\n\t// Save the parse text\n\tthis.type = type || \"text/vnd.tiddlywiki\";\n\tthis.source = text || \"\";\n\tthis.sourceLength = this.source.length;\n\t// Flag for ignoring whitespace\n\tthis.configTrimWhiteSpace = false;\n\t// Set current parse position\n\tthis.pos = 0;\n\t// Instantiate the pragma parse rules\n\tthis.pragmaRules = this.instantiateRules(this.pragmaRuleClasses,\"pragma\",0);\n\t// Instantiate the parser block and inline rules\n\tthis.blockRules = this.instantiateRules(this.blockRuleClasses,\"block\",0);\n\tthis.inlineRules = this.instantiateRules(this.inlineRuleClasses,\"inline\",0);\n\t// Parse any pragmas\n\tthis.tree = [];\n\tvar topBranch = this.parsePragmas();\n\t// Parse the text into inline runs or blocks\n\tif(options.parseAsInline) {\n\t\ttopBranch.push.apply(topBranch,this.parseInlineRun());\n\t} else {\n\t\ttopBranch.push.apply(topBranch,this.parseBlocks());\n\t}\n\t// Return the parse tree\n};\n\n/*\n*/\nWikiParser.prototype.loadRemoteTiddler = function(url) {\n\tvar self = this;\n\t$tw.utils.httpRequest({\n\t\turl: url,\n\t\ttype: \"GET\",\n\t\tcallback: function(err,data) {\n\t\t\tif(!err) {\n\t\t\t\tvar tiddlers = self.wiki.deserializeTiddlers(\".tid\",data,self.wiki.getCreationFields());\n\t\t\t\t$tw.utils.each(tiddlers,function(tiddler) {\n\t\t\t\t\ttiddler[\"_canonical_uri\"] = url;\n\t\t\t\t});\n\t\t\t\tif(tiddlers) {\n\t\t\t\t\tself.wiki.addTiddlers(tiddlers);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n};\n\n/*\n*/\nWikiParser.prototype.setupRules = function(proto,configPrefix) {\n\tvar self = this;\n\tif(!$tw.safemode) {\n\t\t$tw.utils.each(proto,function(object,name) {\n\t\t\tif(self.wiki.getTiddlerText(configPrefix + name,\"enable\") !== \"enable\") {\n\t\t\t\tdelete proto[name];\n\t\t\t}\n\t\t});\n\t}\n};\n\n/*\nInstantiate an array of parse rules\n*/\nWikiParser.prototype.instantiateRules = function(classes,type,startPos) {\n\tvar rulesInfo = [],\n\t\tself = this;\n\t$tw.utils.each(classes,function(RuleClass) {\n\t\t// Instantiate the rule\n\t\tvar rule = new RuleClass(self);\n\t\trule.is = {};\n\t\trule.is[type] = true;\n\t\trule.init(self);\n\t\tvar matchIndex = rule.findNextMatch(startPos);\n\t\tif(matchIndex !== undefined) {\n\t\t\trulesInfo.push({\n\t\t\t\trule: rule,\n\t\t\t\tmatchIndex: matchIndex\n\t\t\t});\n\t\t}\n\t});\n\treturn rulesInfo;\n};\n\n/*\nSkip any whitespace at the current position. Options are:\n\ttreatNewlinesAsNonWhitespace: true if newlines are NOT to be treated as whitespace\n*/\nWikiParser.prototype.skipWhitespace = function(options) {\n\toptions = options || {};\n\tvar whitespaceRegExp = options.treatNewlinesAsNonWhitespace ? /([^\\S\\n]+)/mg : /(\\s+)/mg;\n\twhitespaceRegExp.lastIndex = this.pos;\n\tvar whitespaceMatch = whitespaceRegExp.exec(this.source);\n\tif(whitespaceMatch && whitespaceMatch.index === this.pos) {\n\t\tthis.pos = whitespaceRegExp.lastIndex;\n\t}\n};\n\n/*\nGet the next match out of an array of parse rule instances\n*/\nWikiParser.prototype.findNextMatch = function(rules,startPos) {\n\t// Find the best matching rule by finding the closest match position\n\tvar matchingRule,\n\t\tmatchingRulePos = this.sourceLength;\n\t// Step through each rule\n\tfor(var t=0; t<rules.length; t++) {\n\t\tvar ruleInfo = rules[t];\n\t\t// Ask the rule to get the next match if we've moved past the current one\n\t\tif(ruleInfo.matchIndex !== undefined && ruleInfo.matchIndex < startPos) {\n\t\t\truleInfo.matchIndex = ruleInfo.rule.findNextMatch(startPos);\n\t\t}\n\t\t// Adopt this match if it's closer than the current best match\n\t\tif(ruleInfo.matchIndex !== undefined && ruleInfo.matchIndex <= matchingRulePos) {\n\t\t\tmatchingRule = ruleInfo;\n\t\t\tmatchingRulePos = ruleInfo.matchIndex;\n\t\t}\n\t}\n\treturn matchingRule;\n};\n\n/*\nParse any pragmas at the beginning of a block of parse text\n*/\nWikiParser.prototype.parsePragmas = function() {\n\tvar currentTreeBranch = this.tree;\n\twhile(true) {\n\t\t// Skip whitespace\n\t\tthis.skipWhitespace();\n\t\t// Check for the end of the text\n\t\tif(this.pos >= this.sourceLength) {\n\t\t\tbreak;\n\t\t}\n\t\t// Check if we've arrived at a pragma rule match\n\t\tvar nextMatch = this.findNextMatch(this.pragmaRules,this.pos);\n\t\t// If not, just exit\n\t\tif(!nextMatch || nextMatch.matchIndex !== this.pos) {\n\t\t\tbreak;\n\t\t}\n\t\t// Process the pragma rule\n\t\tvar subTree = nextMatch.rule.parse();\n\t\tif(subTree.length > 0) {\n\t\t\t// Quick hack; we only cope with a single parse tree node being returned, which is true at the moment\n\t\t\tcurrentTreeBranch.push.apply(currentTreeBranch,subTree);\n\t\t\tsubTree[0].children = [];\n\t\t\tcurrentTreeBranch = subTree[0].children;\n\t\t}\n\t}\n\treturn currentTreeBranch;\n};\n\n/*\nParse a block from the current position\n\tterminatorRegExpString: optional regular expression string that identifies the end of plain paragraphs. Must not include capturing parenthesis\n*/\nWikiParser.prototype.parseBlock = function(terminatorRegExpString) {\n\tvar terminatorRegExp = terminatorRegExpString ? new RegExp(\"(\" + terminatorRegExpString + \"|\\\\r?\\\\n\\\\r?\\\\n)\",\"mg\") : /(\\r?\\n\\r?\\n)/mg;\n\tthis.skipWhitespace();\n\tif(this.pos >= this.sourceLength) {\n\t\treturn [];\n\t}\n\t// Look for a block rule that applies at the current position\n\tvar nextMatch = this.findNextMatch(this.blockRules,this.pos);\n\tif(nextMatch && nextMatch.matchIndex === this.pos) {\n\t\treturn nextMatch.rule.parse();\n\t}\n\t// Treat it as a paragraph if we didn't find a block rule\n\treturn [{type: \"element\", tag: \"p\", children: this.parseInlineRun(terminatorRegExp)}];\n};\n\n/*\nParse a series of blocks of text until a terminating regexp is encountered or the end of the text\n\tterminatorRegExpString: terminating regular expression\n*/\nWikiParser.prototype.parseBlocks = function(terminatorRegExpString) {\n\tif(terminatorRegExpString) {\n\t\treturn this.parseBlocksTerminated(terminatorRegExpString);\n\t} else {\n\t\treturn this.parseBlocksUnterminated();\n\t}\n};\n\n/*\nParse a block from the current position to the end of the text\n*/\nWikiParser.prototype.parseBlocksUnterminated = function() {\n\tvar tree = [];\n\twhile(this.pos < this.sourceLength) {\n\t\ttree.push.apply(tree,this.parseBlock());\n\t}\n\treturn tree;\n};\n\n/*\nParse blocks of text until a terminating regexp is encountered\n*/\nWikiParser.prototype.parseBlocksTerminated = function(terminatorRegExpString) {\n\tvar terminatorRegExp = new RegExp(\"(\" + terminatorRegExpString + \")\",\"mg\"),\n\t\ttree = [];\n\t// Skip any whitespace\n\tthis.skipWhitespace();\n\t// Check if we've got the end marker\n\tterminatorRegExp.lastIndex = this.pos;\n\tvar match = terminatorRegExp.exec(this.source);\n\t// Parse the text into blocks\n\twhile(this.pos < this.sourceLength && !(match && match.index === this.pos)) {\n\t\tvar blocks = this.parseBlock(terminatorRegExpString);\n\t\ttree.push.apply(tree,blocks);\n\t\t// Skip any whitespace\n\t\tthis.skipWhitespace();\n\t\t// Check if we've got the end marker\n\t\tterminatorRegExp.lastIndex = this.pos;\n\t\tmatch = terminatorRegExp.exec(this.source);\n\t}\n\tif(match && match.index === this.pos) {\n\t\tthis.pos = match.index + match[0].length;\n\t}\n\treturn tree;\n};\n\n/*\nParse a run of text at the current position\n\tterminatorRegExp: a regexp at which to stop the run\n\toptions: see below\nOptions available:\n\teatTerminator: move the parse position past any encountered terminator (default false)\n*/\nWikiParser.prototype.parseInlineRun = function(terminatorRegExp,options) {\n\tif(terminatorRegExp) {\n\t\treturn this.parseInlineRunTerminated(terminatorRegExp,options);\n\t} else {\n\t\treturn this.parseInlineRunUnterminated(options);\n\t}\n};\n\nWikiParser.prototype.parseInlineRunUnterminated = function(options) {\n\tvar tree = [];\n\t// Find the next occurrence of an inline rule\n\tvar nextMatch = this.findNextMatch(this.inlineRules,this.pos);\n\t// Loop around the matches until we've reached the end of the text\n\twhile(this.pos < this.sourceLength && nextMatch) {\n\t\t// Process the text preceding the run rule\n\t\tif(nextMatch.matchIndex > this.pos) {\n\t\t\tthis.pushTextWidget(tree,this.source.substring(this.pos,nextMatch.matchIndex));\n\t\t\tthis.pos = nextMatch.matchIndex;\n\t\t}\n\t\t// Process the run rule\n\t\ttree.push.apply(tree,nextMatch.rule.parse());\n\t\t// Look for the next run rule\n\t\tnextMatch = this.findNextMatch(this.inlineRules,this.pos);\n\t}\n\t// Process the remaining text\n\tif(this.pos < this.sourceLength) {\n\t\tthis.pushTextWidget(tree,this.source.substr(this.pos));\n\t}\n\tthis.pos = this.sourceLength;\n\treturn tree;\n};\n\nWikiParser.prototype.parseInlineRunTerminated = function(terminatorRegExp,options) {\n\toptions = options || {};\n\tvar tree = [];\n\t// Find the next occurrence of the terminator\n\tterminatorRegExp.lastIndex = this.pos;\n\tvar terminatorMatch = terminatorRegExp.exec(this.source);\n\t// Find the next occurrence of a inlinerule\n\tvar inlineRuleMatch = this.findNextMatch(this.inlineRules,this.pos);\n\t// Loop around until we've reached the end of the text\n\twhile(this.pos < this.sourceLength && (terminatorMatch || inlineRuleMatch)) {\n\t\t// Return if we've found the terminator, and it precedes any inline rule match\n\t\tif(terminatorMatch) {\n\t\t\tif(!inlineRuleMatch || inlineRuleMatch.matchIndex >= terminatorMatch.index) {\n\t\t\t\tif(terminatorMatch.index > this.pos) {\n\t\t\t\t\tthis.pushTextWidget(tree,this.source.substring(this.pos,terminatorMatch.index));\n\t\t\t\t}\n\t\t\t\tthis.pos = terminatorMatch.index;\n\t\t\t\tif(options.eatTerminator) {\n\t\t\t\t\tthis.pos += terminatorMatch[0].length;\n\t\t\t\t}\n\t\t\t\treturn tree;\n\t\t\t}\n\t\t}\n\t\t// Process any inline rule, along with the text preceding it\n\t\tif(inlineRuleMatch) {\n\t\t\t// Preceding text\n\t\t\tif(inlineRuleMatch.matchIndex > this.pos) {\n\t\t\t\tthis.pushTextWidget(tree,this.source.substring(this.pos,inlineRuleMatch.matchIndex));\n\t\t\t\tthis.pos = inlineRuleMatch.matchIndex;\n\t\t\t}\n\t\t\t// Process the inline rule\n\t\t\ttree.push.apply(tree,inlineRuleMatch.rule.parse());\n\t\t\t// Look for the next inline rule\n\t\t\tinlineRuleMatch = this.findNextMatch(this.inlineRules,this.pos);\n\t\t\t// Look for the next terminator match\n\t\t\tterminatorRegExp.lastIndex = this.pos;\n\t\t\tterminatorMatch = terminatorRegExp.exec(this.source);\n\t\t}\n\t}\n\t// Process the remaining text\n\tif(this.pos < this.sourceLength) {\n\t\tthis.pushTextWidget(tree,this.source.substr(this.pos));\n\t}\n\tthis.pos = this.sourceLength;\n\treturn tree;\n};\n\n/*\nPush a text widget onto an array, respecting the configTrimWhiteSpace setting\n*/\nWikiParser.prototype.pushTextWidget = function(array,text) {\n\tif(this.configTrimWhiteSpace) {\n\t\ttext = $tw.utils.trim(text);\n\t}\n\tif(text) {\n\t\tarray.push({type: \"text\", text: text});\t\t\n\t}\n};\n\n/*\nParse zero or more class specifiers `.classname`\n*/\nWikiParser.prototype.parseClasses = function() {\n\tvar classRegExp = /\\.([^\\s\\.]+)/mg,\n\t\tclassNames = [];\n\tclassRegExp.lastIndex = this.pos;\n\tvar match = classRegExp.exec(this.source);\n\twhile(match && match.index === this.pos) {\n\t\tthis.pos = match.index + match[0].length;\n\t\tclassNames.push(match[1]);\n\t\tmatch = classRegExp.exec(this.source);\n\t}\n\treturn classNames;\n};\n\n/*\nAmend the rules used by this instance of the parser\n\ttype: `only` keeps just the named rules, `except` keeps all but the named rules\n\tnames: array of rule names\n*/\nWikiParser.prototype.amendRules = function(type,names) {\n\tnames = names || [];\n\t// Define the filter function\n\tvar keepFilter;\n\tif(type === \"only\") {\n\t\tkeepFilter = function(name) {\n\t\t\treturn names.indexOf(name) !== -1;\n\t\t};\n\t} else if(type === \"except\") {\n\t\tkeepFilter = function(name) {\n\t\t\treturn names.indexOf(name) === -1;\n\t\t};\n\t} else {\n\t\treturn;\n\t}\n\t// Define a function to process each of our rule arrays\n\tvar processRuleArray = function(ruleArray) {\n\t\tfor(var t=ruleArray.length-1; t>=0; t--) {\n\t\t\tif(!keepFilter(ruleArray[t].rule.name)) {\n\t\t\t\truleArray.splice(t,1);\n\t\t\t}\n\t\t}\n\t};\n\t// Process each rule array\n\tprocessRuleArray(this.pragmaRules);\n\tprocessRuleArray(this.blockRules);\n\tprocessRuleArray(this.inlineRules);\n};\n\nexports[\"text/vnd.tiddlywiki\"] = WikiParser;\n\n})();\n\n",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/wikiparser/rules/wikirulebase.js": {
"title": "$:/core/modules/parsers/wikiparser/rules/wikirulebase.js",
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/wikirulebase.js\ntype: application/javascript\nmodule-type: global\n\nBase class for wiki parser rules\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nThis constructor is always overridden with a blank constructor, and so shouldn't be used\n*/\nvar WikiRuleBase = function() {\n};\n\n/*\nTo be overridden by individual rules\n*/\nWikiRuleBase.prototype.init = function(parser) {\n\tthis.parser = parser;\n};\n\n/*\nDefault implementation of findNextMatch uses RegExp matching\n*/\nWikiRuleBase.prototype.findNextMatch = function(startPos) {\n\tthis.matchRegExp.lastIndex = startPos;\n\tthis.match = this.matchRegExp.exec(this.parser.source);\n\treturn this.match ? this.match.index : undefined;\n};\n\nexports.WikiRuleBase = WikiRuleBase;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/pluginswitcher.js": {
"title": "$:/core/modules/pluginswitcher.js",
"text": "/*\\\ntitle: $:/core/modules/pluginswitcher.js\ntype: application/javascript\nmodule-type: global\n\nManages switching plugins for themes and languages.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\noptions:\nwiki: wiki store to be used\npluginType: type of plugin to be switched\ncontrollerTitle: title of tiddler used to control switching of this resource\ndefaultPlugins: array of default plugins to be used if nominated plugin isn't found\nonSwitch: callback when plugin is switched (single parameter is array of plugin titles)\n*/\nfunction PluginSwitcher(options) {\n\tthis.wiki = options.wiki;\n\tthis.pluginType = options.pluginType;\n\tthis.controllerTitle = options.controllerTitle;\n\tthis.defaultPlugins = options.defaultPlugins || [];\n\tthis.onSwitch = options.onSwitch;\n\t// Switch to the current plugin\n\tthis.switchPlugins();\n\t// Listen for changes to the selected plugin\n\tvar self = this;\n\tthis.wiki.addEventListener(\"change\",function(changes) {\n\t\tif($tw.utils.hop(changes,self.controllerTitle)) {\n\t\t\tself.switchPlugins();\n\t\t}\n\t});\n}\n\nPluginSwitcher.prototype.switchPlugins = function() {\n\t// Get the name of the current theme\n\tvar selectedPluginTitle = this.wiki.getTiddlerText(this.controllerTitle);\n\t// If it doesn't exist, then fallback to one of the default themes\n\tvar index = 0;\n\twhile(!this.wiki.getTiddler(selectedPluginTitle) && index < this.defaultPlugins.length) {\n\t\tselectedPluginTitle = this.defaultPlugins[index++];\n\t}\n\t// Accumulate the titles of the plugins that we need to load\n\tvar plugins = [],\n\t\tself = this,\n\t\taccumulatePlugin = function(title) {\n\t\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\t\tif(tiddler && tiddler.isPlugin() && plugins.indexOf(title) === -1) {\n\t\t\t\tplugins.push(title);\n\t\t\t\tvar pluginInfo = JSON.parse(self.wiki.getTiddlerText(title)),\n\t\t\t\t\tdependents = $tw.utils.parseStringArray(tiddler.fields.dependents || \"\");\n\t\t\t\t$tw.utils.each(dependents,function(title) {\n\t\t\t\t\taccumulatePlugin(title);\n\t\t\t\t});\n\t\t\t}\n\t\t};\n\taccumulatePlugin(selectedPluginTitle);\n\t// Read the plugin info for the incoming plugins\n\tvar changes = $tw.wiki.readPluginInfo(plugins);\n\t// Unregister any existing theme tiddlers\n\tvar unregisteredTiddlers = $tw.wiki.unregisterPluginTiddlers(this.pluginType);\n\t// Register any new theme tiddlers\n\tvar registeredTiddlers = $tw.wiki.registerPluginTiddlers(this.pluginType,plugins);\n\t// Unpack the current theme tiddlers\n\t$tw.wiki.unpackPluginTiddlers();\n\t// Call the switch handler\n\tif(this.onSwitch) {\n\t\tthis.onSwitch(plugins);\n\t}\n};\n\nexports.PluginSwitcher = PluginSwitcher;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/saver-handler.js": {
"title": "$:/core/modules/saver-handler.js",
"text": "/*\\\ntitle: $:/core/modules/saver-handler.js\ntype: application/javascript\nmodule-type: global\n\nThe saver handler tracks changes to the store and handles saving the entire wiki via saver modules.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInstantiate the saver handler with the following options:\nwiki: wiki to be synced\ndirtyTracking: true if dirty tracking should be performed\n*/\nfunction SaverHandler(options) {\n\tvar self = this;\n\tthis.wiki = options.wiki;\n\tthis.dirtyTracking = options.dirtyTracking;\n\tthis.preloadDirty = options.preloadDirty || [];\n\tthis.pendingAutoSave = false;\n\t// Make a logger\n\tthis.logger = new $tw.utils.Logger(\"saver-handler\");\n\t// Initialise our savers\n\tif($tw.browser) {\n\t\tthis.initSavers();\n\t}\n\t// Only do dirty tracking if required\n\tif($tw.browser && this.dirtyTracking) {\n\t\t// Compile the dirty tiddler filter\n\t\tthis.filterFn = this.wiki.compileFilter(this.wiki.getTiddlerText(this.titleSyncFilter));\n\t\t// Count of changes that have not yet been saved\n\t\tvar filteredChanges = self.filterFn.call(self.wiki,function(iterator) {\n\t\t\t\t$tw.utils.each(self.preloadDirty,function(title) {\n\t\t\t\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\t\t\t\titerator(tiddler,title);\n\t\t\t\t});\n\t\t});\n\t\tthis.numChanges = filteredChanges.length;\n\t\t// Listen out for changes to tiddlers\n\t\tthis.wiki.addEventListener(\"change\",function(changes) {\n\t\t\t// Filter the changes so that we only count changes to tiddlers that we care about\n\t\t\tvar filteredChanges = self.filterFn.call(self.wiki,function(iterator) {\n\t\t\t\t$tw.utils.each(changes,function(change,title) {\n\t\t\t\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\t\t\t\titerator(tiddler,title);\n\t\t\t\t});\n\t\t\t});\n\t\t\t// Adjust the number of changes\n\t\t\tself.numChanges += filteredChanges.length;\n\t\t\tself.updateDirtyStatus();\n\t\t\t// Do any autosave if one is pending and there's no more change events\n\t\t\tif(self.pendingAutoSave && self.wiki.getSizeOfTiddlerEventQueue() === 0) {\n\t\t\t\t// Check if we're dirty\n\t\t\t\tif(self.numChanges > 0) {\n\t\t\t\t\tself.saveWiki({\n\t\t\t\t\t\tmethod: \"autosave\",\n\t\t\t\t\t\tdownloadType: \"text/plain\"\n\t\t\t\t\t});\n\t\t\t\t}\n\t\t\t\tself.pendingAutoSave = false;\n\t\t\t}\n\t\t});\n\t\t// Listen for the autosave event\n\t\t$tw.rootWidget.addEventListener(\"tm-auto-save-wiki\",function(event) {\n\t\t\t// Do the autosave unless there are outstanding tiddler change events\n\t\t\tif(self.wiki.getSizeOfTiddlerEventQueue() === 0) {\n\t\t\t\t// Check if we're dirty\n\t\t\t\tif(self.numChanges > 0) {\n\t\t\t\t\tself.saveWiki({\n\t\t\t\t\t\tmethod: \"autosave\",\n\t\t\t\t\t\tdownloadType: \"text/plain\"\n\t\t\t\t\t});\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\t// Otherwise put ourselves in the \"pending autosave\" state and wait for the change event before we do the autosave\n\t\t\t\tself.pendingAutoSave = true;\n\t\t\t}\n\t\t});\n\t\t// Set up our beforeunload handler\n\t\t$tw.addUnloadTask(function(event) {\n\t\t\tvar confirmationMessage;\n\t\t\tif(self.isDirty()) {\n\t\t\t\tconfirmationMessage = $tw.language.getString(\"UnsavedChangesWarning\");\n\t\t\t\tevent.returnValue = confirmationMessage; // Gecko\n\t\t\t}\n\t\t\treturn confirmationMessage;\n\t\t});\n\t}\n\t// Install the save action handlers\n\tif($tw.browser) {\n\t\t$tw.rootWidget.addEventListener(\"tm-save-wiki\",function(event) {\n\t\t\tself.saveWiki({\n\t\t\t\ttemplate: event.param,\n\t\t\t\tdownloadType: \"text/plain\",\n\t\t\t\tvariables: event.paramObject\n\t\t\t});\n\t\t});\n\t\t$tw.rootWidget.addEventListener(\"tm-download-file\",function(event) {\n\t\t\tself.saveWiki({\n\t\t\t\tmethod: \"download\",\n\t\t\t\ttemplate: event.param,\n\t\t\t\tdownloadType: \"text/plain\",\n\t\t\t\tvariables: event.paramObject\n\t\t\t});\n\t\t});\n\t}\n}\n\nSaverHandler.prototype.titleSyncFilter = \"$:/config/SaverFilter\";\nSaverHandler.prototype.titleAutoSave = \"$:/config/AutoSave\";\nSaverHandler.prototype.titleSavedNotification = \"$:/language/Notifications/Save/Done\";\n\n/*\nSelect the appropriate saver modules and set them up\n*/\nSaverHandler.prototype.initSavers = function(moduleType) {\n\tmoduleType = moduleType || \"saver\";\n\t// Instantiate the available savers\n\tthis.savers = [];\n\tvar self = this;\n\t$tw.modules.forEachModuleOfType(moduleType,function(title,module) {\n\t\tif(module.canSave(self)) {\n\t\t\tself.savers.push(module.create(self.wiki));\n\t\t}\n\t});\n\t// Sort the savers into priority order\n\tthis.savers.sort(function(a,b) {\n\t\tif(a.info.priority < b.info.priority) {\n\t\t\treturn -1;\n\t\t} else {\n\t\t\tif(a.info.priority > b.info.priority) {\n\t\t\t\treturn +1;\n\t\t\t} else {\n\t\t\t\treturn 0;\n\t\t\t}\n\t\t}\n\t});\n};\n\n/*\nSave the wiki contents. Options are:\n\tmethod: \"save\", \"autosave\" or \"download\"\n\ttemplate: the tiddler containing the template to save\n\tdownloadType: the content type for the saved file\n*/\nSaverHandler.prototype.saveWiki = function(options) {\n\toptions = options || {};\n\tvar self = this,\n\t\tmethod = options.method || \"save\";\n\t// Ignore autosave if disabled\n\tif(method === \"autosave\" && this.wiki.getTiddlerText(this.titleAutoSave,\"yes\") !== \"yes\") {\n\t\treturn false;\n\t}\n\tvar\tvariables = options.variables || {},\n\t\ttemplate = options.template || \"$:/core/save/all\",\n\t\tdownloadType = options.downloadType || \"text/plain\",\n\t\ttext = this.wiki.renderTiddler(downloadType,template,options),\n\t\tcallback = function(err) {\n\t\t\tif(err) {\n\t\t\t\talert($tw.language.getString(\"Error/WhileSaving\") + \":\\n\\n\" + err);\n\t\t\t} else {\n\t\t\t\t// Clear the task queue if we're saving (rather than downloading)\n\t\t\t\tif(method !== \"download\") {\n\t\t\t\t\tself.numChanges = 0;\n\t\t\t\t\tself.updateDirtyStatus();\n\t\t\t\t}\n\t\t\t\t$tw.notifier.display(self.titleSavedNotification);\n\t\t\t\tif(options.callback) {\n\t\t\t\t\toptions.callback();\n\t\t\t\t}\n\t\t\t}\n\t\t};\n\t// Call the highest priority saver that supports this method\n\tfor(var t=this.savers.length-1; t>=0; t--) {\n\t\tvar saver = this.savers[t];\n\t\tif(saver.info.capabilities.indexOf(method) !== -1 && saver.save(text,method,callback,{variables: {filename: variables.filename}})) {\n\t\t\tthis.logger.log(\"Saving wiki with method\",method,\"through saver\",saver.info.name);\n\t\t\treturn true;\n\t\t}\n\t}\n\treturn false;\n};\n\n/*\nChecks whether the wiki is dirty (ie the window shouldn't be closed)\n*/\nSaverHandler.prototype.isDirty = function() {\n\treturn this.numChanges > 0;\n};\n\n/*\nUpdate the document body with the class \"tc-dirty\" if the wiki has unsaved/unsynced changes\n*/\nSaverHandler.prototype.updateDirtyStatus = function() {\n\tif($tw.browser) {\n\t\t$tw.utils.toggleClass(document.body,\"tc-dirty\",this.isDirty());\n\t}\n};\n\nexports.SaverHandler = SaverHandler;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/savers/andtidwiki.js": {
"title": "$:/core/modules/savers/andtidwiki.js",
"text": "/*\\\ntitle: $:/core/modules/savers/andtidwiki.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via the AndTidWiki Android app\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false, netscape: false, Components: false */\n\"use strict\";\n\nvar AndTidWiki = function(wiki) {\n};\n\nAndTidWiki.prototype.save = function(text,method,callback,options) {\n\tvar filename = options && options.variables ? options.variables.filename : null;\n\tif (method === \"download\") {\n\t\t// Support download\n\t\tif (window.twi.saveDownload) {\n\t\t\ttry {\n\t\t\t\twindow.twi.saveDownload(text,filename);\n\t\t\t} catch(err) {\n\t\t\t\tif (err.message === \"Method not found\") {\n\t\t\t\t\twindow.twi.saveDownload(text);\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tvar link = document.createElement(\"a\");\n\t\t\tlink.setAttribute(\"href\",\"data:text/plain,\" + encodeURIComponent(text));\n\t\t\tif (filename) {\n\t\t\t link.setAttribute(\"download\",filename);\n\t\t\t}\n\t\t\tdocument.body.appendChild(link);\n\t\t\tlink.click();\n\t\t\tdocument.body.removeChild(link);\n\t\t}\n\t} else if (window.twi.saveWiki) {\n\t\t// Direct save in Tiddloid\n\t\twindow.twi.saveWiki(text);\n\t} else {\n\t\t// Get the pathname of this document\n\t\tvar pathname = decodeURIComponent(document.location.toString().split(\"#\")[0]);\n\t\t// Strip the file://\n\t\tif(pathname.indexOf(\"file://\") === 0) {\n\t\t\tpathname = pathname.substr(7);\n\t\t}\n\t\t// Strip any query or location part\n\t\tvar p = pathname.indexOf(\"?\");\n\t\tif(p !== -1) {\n\t\t\tpathname = pathname.substr(0,p);\n\t\t}\n\t\tp = pathname.indexOf(\"#\");\n\t\tif(p !== -1) {\n\t\t\tpathname = pathname.substr(0,p);\n\t\t}\n\t\t// Save the file\n\t\twindow.twi.saveFile(pathname,text);\n\t}\n\t// Call the callback\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nAndTidWiki.prototype.info = {\n\tname: \"andtidwiki\",\n\tpriority: 1600,\n\tcapabilities: [\"save\", \"autosave\", \"download\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn !!window.twi && !!window.twi.saveFile;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new AndTidWiki(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/beaker.js": {
"title": "$:/core/modules/savers/beaker.js",
"text": "/*\\\ntitle: $:/core/modules/savers/beaker.js\ntype: application/javascript\nmodule-type: saver\n\nSaves files using the Beaker browser's (https://beakerbrowser.com) Dat protocol (https://datproject.org/)\nCompatible with beaker >= V0.7.2\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSet up the saver\n*/\nvar BeakerSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nBeakerSaver.prototype.save = function(text,method,callback) {\n\tvar dat = new DatArchive(\"\" + window.location),\n\t\tpathname = (\"\" + window.location.pathname).split(\"#\")[0];\n\tdat.stat(pathname).then(function(value) {\n\t\tif(value.isDirectory()) {\n\t\t\tpathname = pathname + \"/index.html\";\n\t\t}\n\t\tdat.writeFile(pathname,text,\"utf8\").then(function(value) {\n\t\t\tcallback(null);\n\t\t},function(reason) {\n\t\t\tcallback(\"Beaker Saver Write Error: \" + reason);\n\t\t});\n\t},function(reason) {\n\t\tcallback(\"Beaker Saver Stat Error: \" + reason);\n\t});\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nBeakerSaver.prototype.info = {\n\tname: \"beaker\",\n\tpriority: 3000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn !!window.DatArchive && location.protocol===\"dat:\";\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new BeakerSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/download.js": {
"title": "$:/core/modules/savers/download.js",
"text": "/*\\\ntitle: $:/core/modules/savers/download.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via HTML5's download APIs\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar DownloadSaver = function(wiki) {\n};\n\nDownloadSaver.prototype.save = function(text,method,callback,options) {\n\toptions = options || {};\n\t// Get the current filename\n\tvar filename = options.variables.filename;\n\tif(!filename) {\n\t\tvar p = document.location.pathname.lastIndexOf(\"/\");\n\t\tif(p !== -1) {\n\t\t\t// We decode the pathname because document.location is URL encoded by the browser\n\t\t\tfilename = decodeURIComponent(document.location.pathname.substr(p+1));\n\t\t}\n\t}\n\tif(!filename) {\n\t\tfilename = \"tiddlywiki.html\";\n\t}\n\t// Set up the link\n\tvar link = document.createElement(\"a\");\n\tif(Blob !== undefined) {\n\t\tvar blob = new Blob([text], {type: \"text/html\"});\n\t\tlink.setAttribute(\"href\", URL.createObjectURL(blob));\n\t} else {\n\t\tlink.setAttribute(\"href\",\"data:text/html,\" + encodeURIComponent(text));\n\t}\n\tlink.setAttribute(\"download\",filename);\n\tdocument.body.appendChild(link);\n\tlink.click();\n\tdocument.body.removeChild(link);\n\t// Callback that we succeeded\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nDownloadSaver.prototype.info = {\n\tname: \"download\",\n\tpriority: 100\n};\n\nObject.defineProperty(DownloadSaver.prototype.info, \"capabilities\", {\n\tget: function() {\n\t\tvar capabilities = [\"save\", \"download\"];\n\t\tif(($tw.wiki.getTextReference(\"$:/config/DownloadSaver/AutoSave\") || \"\").toLowerCase() === \"yes\") {\n\t\t\tcapabilities.push(\"autosave\");\n\t\t}\n\t\treturn capabilities;\n\t}\n});\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn document.createElement(\"a\").download !== undefined;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new DownloadSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/fsosaver.js": {
"title": "$:/core/modules/savers/fsosaver.js",
"text": "/*\\\ntitle: $:/core/modules/savers/fsosaver.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via MS FileSystemObject ActiveXObject\n\nNote: Since TiddlyWiki's markup contains the MOTW, the FileSystemObject normally won't be available. \nHowever, if the wiki is loaded as an .HTA file (Windows HTML Applications) then the FSO can be used.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar FSOSaver = function(wiki) {\n};\n\nFSOSaver.prototype.save = function(text,method,callback) {\n\t// Get the pathname of this document\n\tvar pathname = unescape(document.location.pathname);\n\t// Test for a Windows path of the form /x:\\blah...\n\tif(/^\\/[A-Z]\\:\\\\[^\\\\]+/i.test(pathname)) {\t// ie: ^/[a-z]:/[^/]+\n\t\t// Remove the leading slash\n\t\tpathname = pathname.substr(1);\n\t} else if(document.location.hostname !== \"\" && /^\\/\\\\[^\\\\]+\\\\[^\\\\]+/i.test(pathname)) {\t// test for \\\\server\\share\\blah... - ^/[^/]+/[^/]+\n\t\t// Remove the leading slash\n\t\tpathname = pathname.substr(1);\n\t\t// reconstruct UNC path\n\t\tpathname = \"\\\\\\\\\" + document.location.hostname + pathname;\n\t} else {\n\t\treturn false;\n\t}\n\t// Save the file (as UTF-16)\n\tvar fso = new ActiveXObject(\"Scripting.FileSystemObject\");\n\tvar file = fso.OpenTextFile(pathname,2,-1,-1);\n\tfile.Write(text);\n\tfile.Close();\n\t// Callback that we succeeded\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nFSOSaver.prototype.info = {\n\tname: \"FSOSaver\",\n\tpriority: 120,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\ttry {\n\t\treturn (window.location.protocol === \"file:\") && !!(new ActiveXObject(\"Scripting.FileSystemObject\"));\n\t} catch(e) { return false; }\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new FSOSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/gitea.js": {
"title": "$:/core/modules/savers/gitea.js",
"text": "/*\\\ntitle: $:/core/modules/savers/gitea.js\ntype: application/javascript\nmodule-type: saver\n\nSaves wiki by pushing a commit to the gitea\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar GiteaSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nGiteaSaver.prototype.save = function(text,method,callback) {\n\tvar self = this,\n\t\tusername = this.wiki.getTiddlerText(\"$:/Gitea/Username\"),\n\t\tpassword = $tw.utils.getPassword(\"Gitea\"),\n\t\trepo = this.wiki.getTiddlerText(\"$:/Gitea/Repo\"),\n\t\tpath = this.wiki.getTiddlerText(\"$:/Gitea/Path\",\"\"),\n\t\tfilename = this.wiki.getTiddlerText(\"$:/Gitea/Filename\"),\n\t\tbranch = this.wiki.getTiddlerText(\"$:/Gitea/Branch\") || \"master\",\n\t\tendpoint = this.wiki.getTiddlerText(\"$:/Gitea/ServerURL\") || \"https://gitea\",\n\t\theaders = {\n\t\t\t\"Accept\": \"application/json\",\n\t\t\t\"Content-Type\": \"application/json;charset=UTF-8\",\n\t\t\t\"Authorization\": \"Basic \" + window.btoa(username + \":\" + password)\n\t\t};\n\t// Bail if we don't have everything we need\n\tif(!username || !password || !repo || !path || !filename) {\n\t\treturn false;\n\t}\n\t// Make sure the path start and ends with a slash\n\tif(path.substring(0,1) !== \"/\") {\n\t\tpath = \"/\" + path;\n\t}\n\tif(path.substring(path.length - 1) !== \"/\") {\n\t\tpath = path + \"/\";\n\t}\n\t// Compose the base URI\n\tvar uri = endpoint + \"/repos/\" + repo + \"/contents\" + path;\n\t// Perform a get request to get the details (inc shas) of files in the same path as our file\n\t$tw.utils.httpRequest({\n\t\turl: uri,\n\t\ttype: \"GET\",\n\t\theaders: headers,\n\t\tdata: {\n\t\t\tref: branch\n\t\t},\n\t\tcallback: function(err,getResponseDataJson,xhr) {\n\t\t\tvar getResponseData,sha = \"\";\n\t\t\tif(err && xhr.status !== 404) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tvar use_put = true;\n\t\t\tif(xhr.status !== 404) {\n\t\t\t\tgetResponseData = JSON.parse(getResponseDataJson);\n\t\t\t\t$tw.utils.each(getResponseData,function(details) {\n\t\t\t\t\tif(details.name === filename) {\n\t\t\t\t\t\tsha = details.sha;\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t\tif(sha === \"\"){\n\t\t\t\t\tuse_put = false;\n\t\t\t\t}\n\t\t\t}\n\t\t\tvar data = {\n\t\t\t\tmessage: $tw.language.getRawString(\"ControlPanel/Saving/GitService/CommitMessage\"),\n\t\t\t\tcontent: $tw.utils.base64Encode(text),\n\t\t\t\tsha: sha\n\t\t\t};\n\t\t\t$tw.utils.httpRequest({\n\t\t\t\turl: endpoint + \"/repos/\" + repo + \"/branches/\" + branch,\n\t\t\t\ttype: \"GET\",\n\t\t\t\theaders: headers,\n\t\t\t\tcallback: function(err,getResponseDataJson,xhr) {\n\t\t\t\t\tif(xhr.status === 404) {\n\t\t\t\t\t\tcallback(\"Please ensure the branch in the Gitea repo exists\");\n\t\t\t\t\t}else{\n\t\t\t\t\t\tdata[\"branch\"] = branch;\n\t\t\t\t\t\tself.upload(uri + filename, use_put?\"PUT\":\"POST\", headers, data, callback);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\treturn true;\n};\n\nGiteaSaver.prototype.upload = function(uri,method,headers,data,callback) {\n\t$tw.utils.httpRequest({\n\t\turl: uri,\n\t\ttype: method,\n\t\theaders: headers,\n\t\tdata: JSON.stringify(data),\n\t\tcallback: function(err,putResponseDataJson,xhr) {\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tvar putResponseData = JSON.parse(putResponseDataJson);\n\t\t\tcallback(null);\n\t\t}\n\t});\n};\n\n/*\nInformation about this saver\n*/\nGiteaSaver.prototype.info = {\n\tname: \"Gitea\",\n\tpriority: 2000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new GiteaSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/github.js": {
"title": "$:/core/modules/savers/github.js",
"text": "/*\\\ntitle: $:/core/modules/savers/github.js\ntype: application/javascript\nmodule-type: saver\n\nSaves wiki by pushing a commit to the GitHub v3 REST API\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar GitHubSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nGitHubSaver.prototype.save = function(text,method,callback) {\n\tvar self = this,\n\t\tusername = this.wiki.getTiddlerText(\"$:/GitHub/Username\"),\n\t\tpassword = $tw.utils.getPassword(\"github\"),\n\t\trepo = this.wiki.getTiddlerText(\"$:/GitHub/Repo\"),\n\t\tpath = this.wiki.getTiddlerText(\"$:/GitHub/Path\",\"\"),\n\t\tfilename = this.wiki.getTiddlerText(\"$:/GitHub/Filename\"),\n\t\tbranch = this.wiki.getTiddlerText(\"$:/GitHub/Branch\") || \"master\",\n\t\tendpoint = this.wiki.getTiddlerText(\"$:/GitHub/ServerURL\") || \"https://api.github.com\",\n\t\theaders = {\n\t\t\t\"Accept\": \"application/vnd.github.v3+json\",\n\t\t\t\"Content-Type\": \"application/json;charset=UTF-8\",\n\t\t\t\"Authorization\": \"Basic \" + window.btoa(username + \":\" + password)\n\t\t};\n\t// Bail if we don't have everything we need\n\tif(!username || !password || !repo || !path || !filename) {\n\t\treturn false;\n\t}\n\t// Make sure the path start and ends with a slash\n\tif(path.substring(0,1) !== \"/\") {\n\t\tpath = \"/\" + path;\n\t}\n\tif(path.substring(path.length - 1) !== \"/\") {\n\t\tpath = path + \"/\";\n\t}\n\t// Compose the base URI\n\tvar uri = endpoint + \"/repos/\" + repo + \"/contents\" + path;\n\t// Perform a get request to get the details (inc shas) of files in the same path as our file\n\t$tw.utils.httpRequest({\n\t\turl: uri,\n\t\ttype: \"GET\",\n\t\theaders: headers,\n\t\tdata: {\n\t\t\tref: branch\n\t\t},\n\t\tcallback: function(err,getResponseDataJson,xhr) {\n\t\t\tvar getResponseData,sha = \"\";\n\t\t\tif(err && xhr.status !== 404) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tif(xhr.status !== 404) {\n\t\t\t\tgetResponseData = JSON.parse(getResponseDataJson);\n\t\t\t\t$tw.utils.each(getResponseData,function(details) {\n\t\t\t\t\tif(details.name === filename) {\n\t\t\t\t\t\tsha = details.sha;\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t}\n\t\t\tvar data = {\n\t\t\t\tmessage: $tw.language.getRawString(\"ControlPanel/Saving/GitService/CommitMessage\"),\n\t\t\t\tcontent: $tw.utils.base64Encode(text),\n\t\t\t\tbranch: branch,\n\t\t\t\tsha: sha\n\t\t\t};\n\t\t\t// Perform a PUT request to save the file\n\t\t\t$tw.utils.httpRequest({\n\t\t\t\turl: uri + filename,\n\t\t\t\ttype: \"PUT\",\n\t\t\t\theaders: headers,\n\t\t\t\tdata: JSON.stringify(data),\n\t\t\t\tcallback: function(err,putResponseDataJson,xhr) {\n\t\t\t\t\tif(err) {\n\t\t\t\t\t\treturn callback(err);\n\t\t\t\t\t}\n\t\t\t\t\tvar putResponseData = JSON.parse(putResponseDataJson);\n\t\t\t\t\tcallback(null);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nGitHubSaver.prototype.info = {\n\tname: \"github\",\n\tpriority: 2000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new GitHubSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/gitlab.js": {
"title": "$:/core/modules/savers/gitlab.js",
"text": "/*\\\ntitle: $:/core/modules/savers/gitlab.js\ntype: application/javascript\nmodule-type: saver\n\nSaves wiki by pushing a commit to the GitLab REST API\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: true */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar GitLabSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nGitLabSaver.prototype.save = function(text,method,callback) {\n\t/* See https://docs.gitlab.com/ee/api/repository_files.html */\n\tvar self = this,\n\t\tusername = this.wiki.getTiddlerText(\"$:/GitLab/Username\"),\n\t\tpassword = $tw.utils.getPassword(\"gitlab\"),\n\t\trepo = this.wiki.getTiddlerText(\"$:/GitLab/Repo\"),\n\t\tpath = this.wiki.getTiddlerText(\"$:/GitLab/Path\",\"\"),\n\t\tfilename = this.wiki.getTiddlerText(\"$:/GitLab/Filename\"),\n\t\tbranch = this.wiki.getTiddlerText(\"$:/GitLab/Branch\") || \"master\",\n\t\tendpoint = this.wiki.getTiddlerText(\"$:/GitLab/ServerURL\") || \"https://gitlab.com/api/v4\",\n\t\theaders = {\n\t\t\t\"Content-Type\": \"application/json;charset=UTF-8\",\n\t\t\t\"Private-Token\": password\n\t\t};\n\t// Bail if we don't have everything we need\n\tif(!username || !password || !repo || !path || !filename) {\n\t\treturn false;\n\t}\n\t// Make sure the path start and ends with a slash\n\tif(path.substring(0,1) !== \"/\") {\n\t\tpath = \"/\" + path;\n\t}\n\tif(path.substring(path.length - 1) !== \"/\") {\n\t\tpath = path + \"/\";\n\t}\n\t// Compose the base URI\n\tvar uri = endpoint + \"/projects/\" + encodeURIComponent(repo) + \"/repository/\";\n\t// Perform a get request to get the details (inc shas) of files in the same path as our file\n\t$tw.utils.httpRequest({\n\t\turl: uri + \"tree/?path=\" + encodeURIComponent(path.replace(/^\\/+|\\/$/g, '')) + \"&branch=\" + encodeURIComponent(branch.replace(/^\\/+|\\/$/g, '')),\n\t\ttype: \"GET\",\n\t\theaders: headers,\n\t\tcallback: function(err,getResponseDataJson,xhr) {\n\t\t\tvar getResponseData,sha = \"\";\n\t\t\tif(err && xhr.status !== 404) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tvar requestType = \"POST\";\n\t\t\tif(xhr.status !== 404) {\n\t\t\t\tgetResponseData = JSON.parse(getResponseDataJson);\n\t\t\t\t$tw.utils.each(getResponseData,function(details) {\n\t\t\t\t\tif(details.name === filename) {\n\t\t\t\t\t\trequestType = \"PUT\";\n\t\t\t\t\t\tsha = details.sha;\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t}\n\t\t\tvar data = {\n\t\t\t\tcommit_message: $tw.language.getRawString(\"ControlPanel/Saving/GitService/CommitMessage\"),\n\t\t\t\tcontent: text,\n\t\t\t\tbranch: branch,\n\t\t\t\tsha: sha\n\t\t\t};\n\t\t\t// Perform a request to save the file\n\t\t\t$tw.utils.httpRequest({\n\t\t\t\turl: uri + \"files/\" + encodeURIComponent(path.replace(/^\\/+/, '') + filename),\n\t\t\t\ttype: requestType,\n\t\t\t\theaders: headers,\n\t\t\t\tdata: JSON.stringify(data),\n\t\t\t\tcallback: function(err,putResponseDataJson,xhr) {\n\t\t\t\t\tif(err) {\n\t\t\t\t\t\treturn callback(err);\n\t\t\t\t\t}\n\t\t\t\t\tvar putResponseData = JSON.parse(putResponseDataJson);\n\t\t\t\t\tcallback(null);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nGitLabSaver.prototype.info = {\n\tname: \"gitlab\",\n\tpriority: 2000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new GitLabSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/manualdownload.js": {
"title": "$:/core/modules/savers/manualdownload.js",
"text": "/*\\\ntitle: $:/core/modules/savers/manualdownload.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via HTML5's download APIs\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Title of the tiddler containing the download message\nvar downloadInstructionsTitle = \"$:/language/Modals/Download\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar ManualDownloadSaver = function(wiki) {\n};\n\nManualDownloadSaver.prototype.save = function(text,method,callback) {\n\t$tw.modal.display(downloadInstructionsTitle,{\n\t\tdownloadLink: \"data:text/html,\" + encodeURIComponent(text)\n\t});\n\t// Callback that we succeeded\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nManualDownloadSaver.prototype.info = {\n\tname: \"manualdownload\",\n\tpriority: 0,\n\tcapabilities: [\"save\", \"download\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new ManualDownloadSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/msdownload.js": {
"title": "$:/core/modules/savers/msdownload.js",
"text": "/*\\\ntitle: $:/core/modules/savers/msdownload.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via window.navigator.msSaveBlob()\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar MsDownloadSaver = function(wiki) {\n};\n\nMsDownloadSaver.prototype.save = function(text,method,callback) {\n\t// Get the current filename\n\tvar filename = \"tiddlywiki.html\",\n\t\tp = document.location.pathname.lastIndexOf(\"/\");\n\tif(p !== -1) {\n\t\tfilename = document.location.pathname.substr(p+1);\n\t}\n\t// Set up the link\n\tvar blob = new Blob([text], {type: \"text/html\"});\n\twindow.navigator.msSaveBlob(blob,filename);\n\t// Callback that we succeeded\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nMsDownloadSaver.prototype.info = {\n\tname: \"msdownload\",\n\tpriority: 110,\n\tcapabilities: [\"save\", \"download\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn !!window.navigator.msSaveBlob;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new MsDownloadSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/put.js": {
"title": "$:/core/modules/savers/put.js",
"text": "/*\\\ntitle: $:/core/modules/savers/put.js\ntype: application/javascript\nmodule-type: saver\n\nSaves wiki by performing a PUT request to the server\n\nWorks with any server which accepts a PUT request\nto the current URL, such as a WebDAV server.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nRetrieve ETag if available\n*/\nvar retrieveETag = function(self) {\n\tvar headers = {\n\t\tAccept: \"*/*;charset=UTF-8\"\n\t};\n\t$tw.utils.httpRequest({\n\t\turl: self.uri(),\n\t\ttype: \"HEAD\",\n\t\theaders: headers,\n\t\tcallback: function(err,data,xhr) {\n\t\t\tif(err) {\n\t\t\t\treturn;\n\t\t\t}\n\t\t\tvar etag = xhr.getResponseHeader(\"ETag\");\n\t\t\tif(!etag) {\n\t\t\t\treturn;\n\t\t\t}\n\t\t\tself.etag = etag.replace(/^W\\//,\"\");\n\t\t}\n\t});\n};\n\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar PutSaver = function(wiki) {\n\tthis.wiki = wiki;\n\tvar self = this;\n\tvar uri = this.uri();\n\t// Async server probe. Until probe finishes, save will fail fast\n\t// See also https://github.com/Jermolene/TiddlyWiki5/issues/2276\n\t$tw.utils.httpRequest({\n\t\turl: uri,\n\t\ttype: \"OPTIONS\",\n\t\tcallback: function(err,data,xhr) {\n\t\t\t// Check DAV header http://www.webdav.org/specs/rfc2518.html#rfc.section.9.1\n\t\t\tif(!err) {\n\t\t\t\tself.serverAcceptsPuts = xhr.status === 200 && !!xhr.getResponseHeader(\"dav\");\n\t\t\t}\n\t\t}\n\t});\n\tretrieveETag(this);\n};\n\nPutSaver.prototype.uri = function() {\n\treturn document.location.toString().split(\"#\")[0];\n};\n\n// TODO: in case of edit conflict\n// Prompt: Do you want to save over this? Y/N\n// Merging would be ideal, and may be possible using future generic merge flow\nPutSaver.prototype.save = function(text,method,callback) {\n\tif(!this.serverAcceptsPuts) {\n\t\treturn false;\n\t}\n\tvar self = this;\n\tvar headers = {\n\t\t\"Content-Type\": \"text/html;charset=UTF-8\"\n\t};\n\tif(this.etag) {\n\t\theaders[\"If-Match\"] = this.etag;\n\t}\n\t$tw.utils.httpRequest({\n\t\turl: this.uri(),\n\t\ttype: \"PUT\",\n\t\theaders: headers,\n\t\tdata: text,\n\t\tcallback: function(err,data,xhr) {\n\t\t\tif(err) {\n\t\t\t\t// response is textual: \"XMLHttpRequest error code: 412\"\n\t\t\t\tvar status = Number(err.substring(err.indexOf(':') + 2, err.length))\n\t\t\t\tif(status === 412) { // edit conflict\n\t\t\t\t\tvar message = $tw.language.getString(\"Error/EditConflict\");\n\t\t\t\t\tcallback(message);\n\t\t\t\t} else {\n\t\t\t\t\tcallback(err); // fail\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tself.etag = xhr.getResponseHeader(\"ETag\");\n\t\t\t\tif(self.etag == null) {\n\t\t\t\t\tretrieveETag(self);\n\t\t\t\t}\n\t\t\t\tcallback(null); // success\n\t\t\t}\n\t\t}\n\t});\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nPutSaver.prototype.info = {\n\tname: \"put\",\n\tpriority: 2000,\n\tcapabilities: [\"save\",\"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn /^https?:/.test(location.protocol);\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new PutSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/tiddlyfox.js": {
"title": "$:/core/modules/savers/tiddlyfox.js",
"text": "/*\\\ntitle: $:/core/modules/savers/tiddlyfox.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via the TiddlyFox file extension\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false, netscape: false, Components: false */\n\"use strict\";\n\nvar TiddlyFoxSaver = function(wiki) {\n};\n\nTiddlyFoxSaver.prototype.save = function(text,method,callback) {\n\tvar messageBox = document.getElementById(\"tiddlyfox-message-box\");\n\tif(messageBox) {\n\t\t// Get the pathname of this document\n\t\tvar pathname = document.location.toString().split(\"#\")[0];\n\t\t// Replace file://localhost/ with file:///\n\t\tif(pathname.indexOf(\"file://localhost/\") === 0) {\n\t\t\tpathname = \"file://\" + pathname.substr(16);\n\t\t}\n\t\t// Windows path file:///x:/blah/blah --> x:\\blah\\blah\n\t\tif(/^file\\:\\/\\/\\/[A-Z]\\:\\//i.test(pathname)) {\n\t\t\t// Remove the leading slash and convert slashes to backslashes\n\t\t\tpathname = pathname.substr(8).replace(/\\//g,\"\\\\\");\n\t\t// Firefox Windows network path file://///server/share/blah/blah --> //server/share/blah/blah\n\t\t} else if(pathname.indexOf(\"file://///\") === 0) {\n\t\t\tpathname = \"\\\\\\\\\" + unescape(pathname.substr(10)).replace(/\\//g,\"\\\\\");\n\t\t// Mac/Unix local path file:///path/path --> /path/path\n\t\t} else if(pathname.indexOf(\"file:///\") === 0) {\n\t\t\tpathname = unescape(pathname.substr(7));\n\t\t// Mac/Unix local path file:/path/path --> /path/path\n\t\t} else if(pathname.indexOf(\"file:/\") === 0) {\n\t\t\tpathname = unescape(pathname.substr(5));\n\t\t// Otherwise Windows networth path file://server/share/path/path --> \\\\server\\share\\path\\path\n\t\t} else {\n\t\t\tpathname = \"\\\\\\\\\" + unescape(pathname.substr(7)).replace(new RegExp(\"/\",\"g\"),\"\\\\\");\n\t\t}\n\t\t// Create the message element and put it in the message box\n\t\tvar message = document.createElement(\"div\");\n\t\tmessage.setAttribute(\"data-tiddlyfox-path\",decodeURIComponent(pathname));\n\t\tmessage.setAttribute(\"data-tiddlyfox-content\",text);\n\t\tmessageBox.appendChild(message);\n\t\t// Add an event handler for when the file has been saved\n\t\tmessage.addEventListener(\"tiddlyfox-have-saved-file\",function(event) {\n\t\t\tcallback(null);\n\t\t}, false);\n\t\t// Create and dispatch the custom event to the extension\n\t\tvar event = document.createEvent(\"Events\");\n\t\tevent.initEvent(\"tiddlyfox-save-file\",true,false);\n\t\tmessage.dispatchEvent(event);\n\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n};\n\n/*\nInformation about this saver\n*/\nTiddlyFoxSaver.prototype.info = {\n\tname: \"tiddlyfox\",\n\tpriority: 1500,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new TiddlyFoxSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/tiddlyie.js": {
"title": "$:/core/modules/savers/tiddlyie.js",
"text": "/*\\\ntitle: $:/core/modules/savers/tiddlyie.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via Internet Explorer BHO extenion (TiddlyIE)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar TiddlyIESaver = function(wiki) {\n};\n\nTiddlyIESaver.prototype.save = function(text,method,callback) {\n\t// Check existence of TiddlyIE BHO extension (note: only works after document is complete)\n\tif(typeof(window.TiddlyIE) != \"undefined\") {\n\t\t// Get the pathname of this document\n\t\tvar pathname = unescape(document.location.pathname);\n\t\t// Test for a Windows path of the form /x:/blah...\n\t\tif(/^\\/[A-Z]\\:\\/[^\\/]+/i.test(pathname)) {\t// ie: ^/[a-z]:/[^/]+ (is this better?: ^/[a-z]:/[^/]+(/[^/]+)*\\.[^/]+ )\n\t\t\t// Remove the leading slash\n\t\t\tpathname = pathname.substr(1);\n\t\t\t// Convert slashes to backslashes\n\t\t\tpathname = pathname.replace(/\\//g,\"\\\\\");\n\t\t} else if(document.hostname !== \"\" && /^\\/[^\\/]+\\/[^\\/]+/i.test(pathname)) {\t// test for \\\\server\\share\\blah... - ^/[^/]+/[^/]+\n\t\t\t// Convert slashes to backslashes\n\t\t\tpathname = pathname.replace(/\\//g,\"\\\\\");\n\t\t\t// reconstruct UNC path\n\t\t\tpathname = \"\\\\\\\\\" + document.location.hostname + pathname;\n\t\t} else return false;\n\t\t// Prompt the user to save the file\n\t\twindow.TiddlyIE.save(pathname, text);\n\t\t// Callback that we succeeded\n\t\tcallback(null);\n\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n};\n\n/*\nInformation about this saver\n*/\nTiddlyIESaver.prototype.info = {\n\tname: \"tiddlyiesaver\",\n\tpriority: 1500,\n\tcapabilities: [\"save\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn (window.location.protocol === \"file:\");\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new TiddlyIESaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/twedit.js": {
"title": "$:/core/modules/savers/twedit.js",
"text": "/*\\\ntitle: $:/core/modules/savers/twedit.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via the TWEdit iOS app\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false, netscape: false, Components: false */\n\"use strict\";\n\nvar TWEditSaver = function(wiki) {\n};\n\nTWEditSaver.prototype.save = function(text,method,callback) {\n\t// Bail if we're not running under TWEdit\n\tif(typeof DeviceInfo !== \"object\") {\n\t\treturn false;\n\t}\n\t// Get the pathname of this document\n\tvar pathname = decodeURIComponent(document.location.pathname);\n\t// Strip any query or location part\n\tvar p = pathname.indexOf(\"?\");\n\tif(p !== -1) {\n\t\tpathname = pathname.substr(0,p);\n\t}\n\tp = pathname.indexOf(\"#\");\n\tif(p !== -1) {\n\t\tpathname = pathname.substr(0,p);\n\t}\n\t// Remove the leading \"/Documents\" from path\n\tvar prefix = \"/Documents\";\n\tif(pathname.indexOf(prefix) === 0) {\n\t\tpathname = pathname.substr(prefix.length);\n\t}\n\t// Error handler\n\tvar errorHandler = function(event) {\n\t\t// Error\n\t\tcallback($tw.language.getString(\"Error/SavingToTWEdit\") + \": \" + event.target.error.code);\n\t};\n\t// Get the file system\n\twindow.requestFileSystem(LocalFileSystem.PERSISTENT,0,function(fileSystem) {\n\t\t// Now we've got the filesystem, get the fileEntry\n\t\tfileSystem.root.getFile(pathname, {create: true}, function(fileEntry) {\n\t\t\t// Now we've got the fileEntry, create the writer\n\t\t\tfileEntry.createWriter(function(writer) {\n\t\t\t\twriter.onerror = errorHandler;\n\t\t\t\twriter.onwrite = function() {\n\t\t\t\t\tcallback(null);\n\t\t\t\t};\n\t\t\t\twriter.position = 0;\n\t\t\t\twriter.write(text);\n\t\t\t},errorHandler);\n\t\t}, errorHandler);\n\t}, errorHandler);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nTWEditSaver.prototype.info = {\n\tname: \"twedit\",\n\tpriority: 1600,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new TWEditSaver(wiki);\n};\n\n/////////////////////////// Hack\n// HACK: This ensures that TWEdit recognises us as a TiddlyWiki document\nif($tw.browser) {\n\twindow.version = {title: \"TiddlyWiki\"};\n}\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/upload.js": {
"title": "$:/core/modules/savers/upload.js",
"text": "/*\\\ntitle: $:/core/modules/savers/upload.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via upload to a server.\n\nDesigned to be compatible with BidiX's UploadPlugin at http://tiddlywiki.bidix.info/#UploadPlugin\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar UploadSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nUploadSaver.prototype.save = function(text,method,callback) {\n\t// Get the various parameters we need\n\tvar backupDir = this.wiki.getTextReference(\"$:/UploadBackupDir\") || \".\",\n\t\tusername = this.wiki.getTextReference(\"$:/UploadName\"),\n\t\tpassword = $tw.utils.getPassword(\"upload\"),\n\t\tuploadDir = this.wiki.getTextReference(\"$:/UploadDir\") || \".\",\n\t\tuploadFilename = this.wiki.getTextReference(\"$:/UploadFilename\") || \"index.html\",\n\t\turl = this.wiki.getTextReference(\"$:/UploadURL\");\n\t// Bail out if we don't have the bits we need\n\tif(!username || username.toString().trim() === \"\" || !password || password.toString().trim() === \"\") {\n\t\treturn false;\n\t}\n\t// Construct the url if not provided\n\tif(!url) {\n\t\turl = \"http://\" + username + \".tiddlyspot.com/store.cgi\";\n\t}\n\t// Assemble the header\n\tvar boundary = \"---------------------------\" + \"AaB03x\";\t\n\tvar uploadFormName = \"UploadPlugin\";\n\tvar head = [];\n\thead.push(\"--\" + boundary + \"\\r\\nContent-disposition: form-data; name=\\\"UploadPlugin\\\"\\r\\n\");\n\thead.push(\"backupDir=\" + backupDir + \";user=\" + username + \";password=\" + password + \";uploaddir=\" + uploadDir + \";;\"); \n\thead.push(\"\\r\\n\" + \"--\" + boundary);\n\thead.push(\"Content-disposition: form-data; name=\\\"userfile\\\"; filename=\\\"\" + uploadFilename + \"\\\"\");\n\thead.push(\"Content-Type: text/html;charset=UTF-8\");\n\thead.push(\"Content-Length: \" + text.length + \"\\r\\n\");\n\thead.push(\"\");\n\t// Assemble the tail and the data itself\n\tvar tail = \"\\r\\n--\" + boundary + \"--\\r\\n\",\n\t\tdata = head.join(\"\\r\\n\") + text + tail;\n\t// Do the HTTP post\n\tvar http = new XMLHttpRequest();\n\thttp.open(\"POST\",url,true,username,password);\n\thttp.setRequestHeader(\"Content-Type\",\"multipart/form-data; charset=UTF-8; boundary=\" + boundary);\n\thttp.onreadystatechange = function() {\n\t\tif(http.readyState == 4 && http.status == 200) {\n\t\t\tif(http.responseText.substr(0,4) === \"0 - \") {\n\t\t\t\tcallback(null);\n\t\t\t} else {\n\t\t\t\tcallback(http.responseText);\n\t\t\t}\n\t\t}\n\t};\n\ttry {\n\t\thttp.send(data);\n\t} catch(ex) {\n\t\treturn callback($tw.language.getString(\"Error/Caption\") + \":\" + ex);\n\t}\n\t$tw.notifier.display(\"$:/language/Notifications/Save/Starting\");\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nUploadSaver.prototype.info = {\n\tname: \"upload\",\n\tpriority: 2000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new UploadSaver(wiki);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/server/authenticators/basic.js": {
"title": "$:/core/modules/server/authenticators/basic.js",
"text": "/*\\\ntitle: $:/core/modules/server/authenticators/basic.js\ntype: application/javascript\nmodule-type: authenticator\n\nAuthenticator for WWW basic authentication\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nif($tw.node) {\n\tvar util = require(\"util\"),\n\t\tfs = require(\"fs\"),\n\t\turl = require(\"url\"),\n\t\tpath = require(\"path\");\n}\n\nfunction BasicAuthenticator(server) {\n\tthis.server = server;\n\tthis.credentialsData = [];\n}\n\n/*\nReturns true if the authenticator is active, false if it is inactive, or a string if there is an error\n*/\nBasicAuthenticator.prototype.init = function() {\n\t// Read the credentials data\n\tthis.credentialsFilepath = this.server.get(\"credentials\");\n\tif(this.credentialsFilepath) {\n\t\tvar resolveCredentialsFilepath = path.resolve($tw.boot.wikiPath,this.credentialsFilepath);\n\t\tif(fs.existsSync(resolveCredentialsFilepath) && !fs.statSync(resolveCredentialsFilepath).isDirectory()) {\n\t\t\tvar credentialsText = fs.readFileSync(resolveCredentialsFilepath,\"utf8\"),\n\t\t\t\tcredentialsData = $tw.utils.parseCsvStringWithHeader(credentialsText);\n\t\t\tif(typeof credentialsData === \"string\") {\n\t\t\t\treturn \"Error: \" + credentialsData + \" reading credentials from '\" + resolveCredentialsFilepath + \"'\";\n\t\t\t} else {\n\t\t\t\tthis.credentialsData = credentialsData;\n\t\t\t}\n\t\t} else {\n\t\t\treturn \"Error: Unable to load user credentials from '\" + resolveCredentialsFilepath + \"'\";\n\t\t}\n\t}\n\t// Add the hardcoded username and password if specified\n\tif(this.server.get(\"username\") && this.server.get(\"password\")) {\n\t\tthis.credentialsData = this.credentialsData || [];\n\t\tthis.credentialsData.push({\n\t\t\tusername: this.server.get(\"username\"),\n\t\t\tpassword: this.server.get(\"password\")\n\t\t});\n\t}\n\treturn this.credentialsData.length > 0;\n};\n\n/*\nReturns true if the request is authenticated and assigns the \"authenticatedUsername\" state variable.\nReturns false if the request couldn't be authenticated having sent an appropriate response to the browser\n*/\nBasicAuthenticator.prototype.authenticateRequest = function(request,response,state) {\n\t// Extract the incoming username and password from the request\n\tvar header = request.headers.authorization || \"\";\n\tif(!header && state.allowAnon) {\n\t\t// If there's no header and anonymous access is allowed then we don't set authenticatedUsername\n\t\treturn true;\n\t}\n\tvar token = header.split(/\\s+/).pop() || \"\",\n\t\tauth = $tw.utils.base64Decode(token),\n\t\tparts = auth.split(/:/),\n\t\tincomingUsername = parts[0],\n\t\tincomingPassword = parts[1];\n\t// Check that at least one of the credentials matches\n\tvar matchingCredentials = this.credentialsData.find(function(credential) {\n\t\treturn credential.username === incomingUsername && credential.password === incomingPassword;\n\t});\n\tif(matchingCredentials) {\n\t\t// If so, add the authenticated username to the request state\n\t\tstate.authenticatedUsername = incomingUsername;\n\t\treturn true;\n\t} else {\n\t\t// If not, return an authentication challenge\n\t\tresponse.writeHead(401,\"Authentication required\",{\n\t\t\t\"WWW-Authenticate\": 'Basic realm=\"Please provide your username and password to login to ' + state.server.servername + '\"'\n\t\t});\n\t\tresponse.end();\n\t\treturn false;\n\t}\n};\n\nexports.AuthenticatorClass = BasicAuthenticator;\n\n})();\n",
"type": "application/javascript",
"module-type": "authenticator"
},
"$:/core/modules/server/authenticators/header.js": {
"title": "$:/core/modules/server/authenticators/header.js",
"text": "/*\\\ntitle: $:/core/modules/server/authenticators/header.js\ntype: application/javascript\nmodule-type: authenticator\n\nAuthenticator for trusted header authentication\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nfunction HeaderAuthenticator(server) {\n\tthis.server = server;\n\tthis.header = server.get(\"authenticated-user-header\");\n}\n\n/*\nReturns true if the authenticator is active, false if it is inactive, or a string if there is an error\n*/\nHeaderAuthenticator.prototype.init = function() {\n\treturn !!this.header;\n};\n\n/*\nReturns true if the request is authenticated and assigns the \"authenticatedUsername\" state variable.\nReturns false if the request couldn't be authenticated having sent an appropriate response to the browser\n*/\nHeaderAuthenticator.prototype.authenticateRequest = function(request,response,state) {\n\t// Otherwise, authenticate as the username in the specified header\n\tvar username = request.headers[this.header];\n\tif(!username && !state.allowAnon) {\n\t\tresponse.writeHead(401,\"Authorization header required to login to '\" + state.server.servername + \"'\");\n\t\tresponse.end();\n\t\treturn false;\n\t} else {\n\t\t// authenticatedUsername will be undefined for anonymous users\n\t\tstate.authenticatedUsername = username;\n\t\treturn true;\n\t}\n};\n\nexports.AuthenticatorClass = HeaderAuthenticator;\n\n})();\n",
"type": "application/javascript",
"module-type": "authenticator"
},
"$:/core/modules/server/routes/delete-tiddler.js": {
"title": "$:/core/modules/server/routes/delete-tiddler.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/delete-tiddler.js\ntype: application/javascript\nmodule-type: route\n\nDELETE /recipes/default/tiddlers/:title\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"DELETE\";\n\nexports.path = /^\\/bags\\/default\\/tiddlers\\/(.+)$/;\n\nexports.handler = function(request,response,state) {\n\tvar title = decodeURIComponent(state.params[0]);\n\tstate.wiki.deleteTiddler(title);\n\tresponse.writeHead(204, \"OK\", {\n\t\t\"Content-Type\": \"text/plain\"\n\t});\n\tresponse.end();\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/routes/get-favicon.js": {
"title": "$:/core/modules/server/routes/get-favicon.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/get-favicon.js\ntype: application/javascript\nmodule-type: route\n\nGET /favicon.ico\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/favicon.ico$/;\n\nexports.handler = function(request,response,state) {\n\tresponse.writeHead(200, {\"Content-Type\": \"image/x-icon\"});\n\tvar buffer = state.wiki.getTiddlerText(\"$:/favicon.ico\",\"\");\n\tresponse.end(buffer,\"base64\");\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/routes/get-file.js": {
"title": "$:/core/modules/server/routes/get-file.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/get-file.js\ntype: application/javascript\nmodule-type: route\n\nGET /files/:filepath\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/files\\/(.+)$/;\n\nexports.handler = function(request,response,state) {\n\tvar path = require(\"path\"),\n\t\tfs = require(\"fs\"),\n\t\tutil = require(\"util\"),\n\t\tsuppliedFilename = decodeURIComponent(state.params[0]),\n\t\tfilename = path.resolve($tw.boot.wikiPath,\"files\",suppliedFilename),\n\t\textension = path.extname(filename);\n\tfs.readFile(filename,function(err,content) {\n\t\tvar status,content,type = \"text/plain\";\n\t\tif(err) {\n\t\t\tconsole.log(\"Error accessing file \" + filename + \": \" + err.toString());\n\t\t\tstatus = 404;\n\t\t\tcontent = \"File '\" + suppliedFilename + \"' not found\";\n\t\t} else {\n\t\t\tstatus = 200;\n\t\t\tcontent = content;\n\t\t\ttype = ($tw.config.fileExtensionInfo[extension] ? $tw.config.fileExtensionInfo[extension].type : \"application/octet-stream\");\n\t\t}\n\t\tresponse.writeHead(status,{\n\t\t\t\"Content-Type\": type\n\t\t});\n\t\tresponse.end(content);\n\t});\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/routes/get-index.js": {
"title": "$:/core/modules/server/routes/get-index.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/get-index.js\ntype: application/javascript\nmodule-type: route\n\nGET /\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar zlib = require(\"zlib\");\n\nexports.method = \"GET\";\n\nexports.path = /^\\/$/;\n\nexports.handler = function(request,response,state) {\n\tvar acceptEncoding = request.headers[\"accept-encoding\"];\n\tif(!acceptEncoding) {\n\t\tacceptEncoding = \"\";\n\t}\n\tvar text = state.wiki.renderTiddler(state.server.get(\"root-render-type\"),state.server.get(\"root-tiddler\")),\n\t\tresponseHeaders = {\n\t\t\"Content-Type\": state.server.get(\"root-serve-type\")\n\t};\n\t/*\n\tIf the gzip=yes flag for `listen` is set, check if the user agent permits\n\tcompression. If so, compress our response. Note that we use the synchronous\n\tfunctions from zlib to stay in the imperative style. The current `Server`\n\tdoesn't depend on this, and we may just as well use the async versions.\n\t*/\n\tif(state.server.enableGzip) {\n\t\tif (/\\bdeflate\\b/.test(acceptEncoding)) {\n\t\t\tresponseHeaders[\"Content-Encoding\"] = \"deflate\";\n\t\t\ttext = zlib.deflateSync(text);\n\t\t} else if (/\\bgzip\\b/.test(acceptEncoding)) {\n\t\t\tresponseHeaders[\"Content-Encoding\"] = \"gzip\";\n\t\t\ttext = zlib.gzipSync(text);\n\t\t}\n\t}\n\tresponse.writeHead(200,responseHeaders);\n\tresponse.end(text);\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/routes/get-login-basic.js": {
"title": "$:/core/modules/server/routes/get-login-basic.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/get-login-basic.js\ntype: application/javascript\nmodule-type: route\n\nGET /login-basic -- force a Basic Authentication challenge\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/login-basic$/;\n\nexports.handler = function(request,response,state) {\n\tif(!state.authenticatedUsername) {\n\t\t// Challenge if there's no username\n\t\tresponse.writeHead(401,{\n\t\t\t\"WWW-Authenticate\": 'Basic realm=\"Please provide your username and password to login to ' + state.server.servername + '\"'\n\t\t});\n\t\tresponse.end();\t\t\n\t} else {\n\t\t// Redirect to the root wiki if login worked\n\t\tresponse.writeHead(302,{\n\t\t\tLocation: \"/\"\n\t\t});\n\t\tresponse.end();\n\t}\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/routes/get-status.js": {
"title": "$:/core/modules/server/routes/get-status.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/get-status.js\ntype: application/javascript\nmodule-type: route\n\nGET /status\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/status$/;\n\nexports.handler = function(request,response,state) {\n\tresponse.writeHead(200, {\"Content-Type\": \"application/json\"});\n\tvar text = JSON.stringify({\n\t\tusername: state.authenticatedUsername || state.server.get(\"anon-username\") || \"\",\n\t\tanonymous: !state.authenticatedUsername,\n\t\tread_only: !state.server.isAuthorized(\"writers\",state.authenticatedUsername),\n\t\tspace: {\n\t\t\trecipe: \"default\"\n\t\t},\n\t\ttiddlywiki_version: $tw.version\n\t});\n\tresponse.end(text,\"utf8\");\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/routes/get-tiddler-html.js": {
"title": "$:/core/modules/server/routes/get-tiddler-html.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/get-tiddler-html.js\ntype: application/javascript\nmodule-type: route\n\nGET /:title\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/([^\\/]+)$/;\n\nexports.handler = function(request,response,state) {\n\tvar title = decodeURIComponent(state.params[0]),\n\t\ttiddler = state.wiki.getTiddler(title);\n\tif(tiddler) {\n\t\tvar renderType = tiddler.getFieldString(\"_render_type\"),\n\t\t\trenderTemplate = tiddler.getFieldString(\"_render_template\");\n\t\t// Tiddler fields '_render_type' and '_render_template' overwrite\n\t\t// system wide settings for render type and template\n\t\tif(state.wiki.isSystemTiddler(title)) {\n\t\t\trenderType = renderType || state.server.get(\"system-tiddler-render-type\");\n\t\t\trenderTemplate = renderTemplate || state.server.get(\"system-tiddler-render-template\");\n\t\t} else {\n\t\t\trenderType = renderType || state.server.get(\"tiddler-render-type\");\n\t\t\trenderTemplate = renderTemplate || state.server.get(\"tiddler-render-template\");\n\t\t}\n\t\tvar text = state.wiki.renderTiddler(renderType,renderTemplate,{parseAsInline: true, variables: {currentTiddler: title}});\n\t\t// Naughty not to set a content-type, but it's the easiest way to ensure the browser will see HTML pages as HTML, and accept plain text tiddlers as CSS or JS\n\t\tresponse.writeHead(200);\n\t\tresponse.end(text,\"utf8\");\n\t} else {\n\t\tresponse.writeHead(404);\n\t\tresponse.end();\n\t}\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/routes/get-tiddler.js": {
"title": "$:/core/modules/server/routes/get-tiddler.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/get-tiddler.js\ntype: application/javascript\nmodule-type: route\n\nGET /recipes/default/tiddlers/:title\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/recipes\\/default\\/tiddlers\\/(.+)$/;\n\nexports.handler = function(request,response,state) {\n\tvar title = decodeURIComponent(state.params[0]),\n\t\ttiddler = state.wiki.getTiddler(title),\n\t\ttiddlerFields = {},\n\t\tknownFields = [\n\t\t\t\"bag\", \"created\", \"creator\", \"modified\", \"modifier\", \"permissions\", \"recipe\", \"revision\", \"tags\", \"text\", \"title\", \"type\", \"uri\"\n\t\t];\n\tif(tiddler) {\n\t\t$tw.utils.each(tiddler.fields,function(field,name) {\n\t\t\tvar value = tiddler.getFieldString(name);\n\t\t\tif(knownFields.indexOf(name) !== -1) {\n\t\t\t\ttiddlerFields[name] = value;\n\t\t\t} else {\n\t\t\t\ttiddlerFields.fields = tiddlerFields.fields || {};\n\t\t\t\ttiddlerFields.fields[name] = value;\n\t\t\t}\n\t\t});\n\t\ttiddlerFields.revision = state.wiki.getChangeCount(title);\n\t\ttiddlerFields.bag = \"default\";\n\t\ttiddlerFields.type = tiddlerFields.type || \"text/vnd.tiddlywiki\";\n\t\tresponse.writeHead(200, {\"Content-Type\": \"application/json\"});\n\t\tresponse.end(JSON.stringify(tiddlerFields),\"utf8\");\n\t} else {\n\t\tresponse.writeHead(404);\n\t\tresponse.end();\n\t}\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/routes/get-tiddlers-json.js": {
"title": "$:/core/modules/server/routes/get-tiddlers-json.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/get-tiddlers-json.js\ntype: application/javascript\nmodule-type: route\n\nGET /recipes/default/tiddlers/tiddlers.json?filter=<filter>\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar DEFAULT_FILTER = \"[all[tiddlers]!is[system]sort[title]]\";\n\nexports.method = \"GET\";\n\nexports.path = /^\\/recipes\\/default\\/tiddlers.json$/;\n\nexports.handler = function(request,response,state) {\n\tvar filter = state.queryParameters.filter || DEFAULT_FILTER;\n\tif($tw.wiki.getTiddlerText(\"$:/config/Server/AllowAllExternalFilters\") !== \"yes\") {\n\t\tif($tw.wiki.getTiddlerText(\"$:/config/Server/ExternalFilters/\" + filter) !== \"yes\") {\n\t\t\tconsole.log(\"Blocked attempt to GET /recipes/default/tiddlers/tiddlers.json with filter: \" + filter);\n\t\t\tresponse.writeHead(403);\n\t\t\tresponse.end();\n\t\t\treturn;\n\t\t}\n\t}\n\tvar excludeFields = (state.queryParameters.exclude || \"text\").split(\",\"),\n\t\ttitles = state.wiki.filterTiddlers(filter);\n\tresponse.writeHead(200, {\"Content-Type\": \"application/json\"});\n\tvar tiddlers = [];\n\t$tw.utils.each(titles,function(title) {\n\t\tvar tiddler = state.wiki.getTiddler(title);\n\t\tif(tiddler) {\n\t\t\tvar tiddlerFields = tiddler.getFieldStrings({exclude: excludeFields});\n\t\t\ttiddlerFields.revision = state.wiki.getChangeCount(title);\n\t\t\ttiddlerFields.type = tiddlerFields.type || \"text/vnd.tiddlywiki\";\n\t\t\ttiddlers.push(tiddlerFields);\n\t\t}\n\t});\n\tvar text = JSON.stringify(tiddlers);\n\tresponse.end(text,\"utf8\");\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/routes/put-tiddler.js": {
"title": "$:/core/modules/server/routes/put-tiddler.js",
"text": "/*\\\ntitle: $:/core/modules/server/routes/put-tiddler.js\ntype: application/javascript\nmodule-type: route\n\nPUT /recipes/default/tiddlers/:title\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.method = \"PUT\";\n\nexports.path = /^\\/recipes\\/default\\/tiddlers\\/(.+)$/;\n\nexports.handler = function(request,response,state) {\n\tvar title = decodeURIComponent(state.params[0]),\n\tfields = JSON.parse(state.data);\n\t// Pull up any subfields in the `fields` object\n\tif(fields.fields) {\n\t\t$tw.utils.each(fields.fields,function(field,name) {\n\t\t\tfields[name] = field;\n\t\t});\n\t\tdelete fields.fields;\n\t}\n\t// Remove any revision field\n\tif(fields.revision) {\n\t\tdelete fields.revision;\n\t}\n\tstate.wiki.addTiddler(new $tw.Tiddler(state.wiki.getCreationFields(),fields,{title: title},state.wiki.getModificationFields()));\n\tvar changeCount = state.wiki.getChangeCount(title).toString();\n\tresponse.writeHead(204, \"OK\",{\n\t\tEtag: \"\\\"default/\" + encodeURIComponent(title) + \"/\" + changeCount + \":\\\"\",\n\t\t\"Content-Type\": \"text/plain\"\n\t});\n\tresponse.end();\n};\n\n}());\n",
"type": "application/javascript",
"module-type": "route"
},
"$:/core/modules/server/server.js": {
"title": "$:/core/modules/server/server.js",
"text": "/*\\\ntitle: $:/core/modules/server/server.js\ntype: application/javascript\nmodule-type: library\n\nServe tiddlers over http\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nif($tw.node) {\n\tvar util = require(\"util\"),\n\t\tfs = require(\"fs\"),\n\t\turl = require(\"url\"),\n\t\tpath = require(\"path\"),\n\t\tquerystring = require(\"querystring\");\n}\n\n/*\nA simple HTTP server with regexp-based routes\noptions: variables - optional hashmap of variables to set (a misnomer - they are really constant parameters)\n\t\t routes - optional array of routes to use\n\t\t wiki - reference to wiki object\n*/\nfunction Server(options) {\n\tvar self = this;\n\tthis.routes = options.routes || [];\n\tthis.authenticators = options.authenticators || [];\n\tthis.wiki = options.wiki;\n\tthis.servername = $tw.utils.transliterateToSafeASCII(this.wiki.getTiddlerText(\"$:/SiteTitle\") || \"TiddlyWiki5\");\n\t// Initialise the variables\n\tthis.variables = $tw.utils.extend({},this.defaultVariables);\n\tif(options.variables) {\n\t\tfor(var variable in options.variables) {\n\t\t\tif(options.variables[variable]) {\n\t\t\t\tthis.variables[variable] = options.variables[variable];\n\t\t\t}\n\t\t}\t\t\n\t}\n\t$tw.utils.extend({},this.defaultVariables,options.variables);\n\t// Initialise CSRF\n\tthis.csrfDisable = this.get(\"csrf-disable\") === \"yes\";\n\t// Initialize Gzip compression\n\tthis.enableGzip = this.get(\"gzip\") === \"yes\";\n\t// Initialise authorization\n\tvar authorizedUserName = (this.get(\"username\") && this.get(\"password\")) ? this.get(\"username\") : \"(anon)\";\n\tthis.authorizationPrincipals = {\n\t\treaders: (this.get(\"readers\") || authorizedUserName).split(\",\").map($tw.utils.trim),\n\t\twriters: (this.get(\"writers\") || authorizedUserName).split(\",\").map($tw.utils.trim)\n\t}\n\t// Load and initialise authenticators\n\t$tw.modules.forEachModuleOfType(\"authenticator\", function(title,authenticatorDefinition) {\n\t\t// console.log(\"Loading server route \" + title);\n\t\tself.addAuthenticator(authenticatorDefinition.AuthenticatorClass);\n\t});\n\t// Load route handlers\n\t$tw.modules.forEachModuleOfType(\"route\", function(title,routeDefinition) {\n\t\t// console.log(\"Loading server route \" + title);\n\t\tself.addRoute(routeDefinition);\n\t});\n\t// Initialise the http vs https\n\tthis.listenOptions = null;\n\tthis.protocol = \"http\";\n\tvar tlsKeyFilepath = this.get(\"tls-key\"),\n\t\ttlsCertFilepath = this.get(\"tls-cert\");\n\tif(tlsCertFilepath && tlsKeyFilepath) {\n\t\tthis.listenOptions = {\n\t\t\tkey: fs.readFileSync(path.resolve($tw.boot.wikiPath,tlsKeyFilepath),\"utf8\"),\n\t\t\tcert: fs.readFileSync(path.resolve($tw.boot.wikiPath,tlsCertFilepath),\"utf8\")\n\t\t};\n\t\tthis.protocol = \"https\";\n\t}\n\tthis.transport = require(this.protocol);\n}\n\nServer.prototype.defaultVariables = {\n\tport: \"8080\",\n\thost: \"127.0.0.1\",\n\t\"root-tiddler\": \"$:/core/save/all\",\n\t\"root-render-type\": \"text/plain\",\n\t\"root-serve-type\": \"text/html\",\n\t\"tiddler-render-type\": \"text/html\",\n\t\"tiddler-render-template\": \"$:/core/templates/server/static.tiddler.html\",\n\t\"system-tiddler-render-type\": \"text/plain\",\n\t\"system-tiddler-render-template\": \"$:/core/templates/wikified-tiddler\",\n\t\"debug-level\": \"none\",\n\t\"gzip\": \"no\"\n};\n\nServer.prototype.get = function(name) {\n\treturn this.variables[name];\n};\n\nServer.prototype.addRoute = function(route) {\n\tthis.routes.push(route);\n};\n\nServer.prototype.addAuthenticator = function(AuthenticatorClass) {\n\t// Instantiate and initialise the authenticator\n\tvar authenticator = new AuthenticatorClass(this),\n\t\tresult = authenticator.init();\n\tif(typeof result === \"string\") {\n\t\t$tw.utils.error(\"Error: \" + result);\n\t} else if(result) {\n\t\t// Only use the authenticator if it initialised successfully\n\t\tthis.authenticators.push(authenticator);\n\t}\n};\n\nServer.prototype.findMatchingRoute = function(request,state) {\n\tvar pathprefix = this.get(\"path-prefix\") || \"\";\n\tfor(var t=0; t<this.routes.length; t++) {\n\t\tvar potentialRoute = this.routes[t],\n\t\t\tpathRegExp = potentialRoute.path,\n\t\t\tpathname = state.urlInfo.pathname,\n\t\t\tmatch;\n\t\tif(pathprefix) {\n\t\t\tif(pathname.substr(0,pathprefix.length) === pathprefix) {\n\t\t\t\tpathname = pathname.substr(pathprefix.length) || \"/\";\n\t\t\t\tmatch = potentialRoute.path.exec(pathname);\n\t\t\t} else {\n\t\t\t\tmatch = false;\n\t\t\t}\n\t\t} else {\n\t\t\tmatch = potentialRoute.path.exec(pathname);\n\t\t}\n\t\tif(match && request.method === potentialRoute.method) {\n\t\t\tstate.params = [];\n\t\t\tfor(var p=1; p<match.length; p++) {\n\t\t\t\tstate.params.push(match[p]);\n\t\t\t}\n\t\t\treturn potentialRoute;\n\t\t}\n\t}\n\treturn null;\n};\n\nServer.prototype.methodMappings = {\n\t\"GET\": \"readers\",\n\t\"OPTIONS\": \"readers\",\n\t\"HEAD\": \"readers\",\n\t\"PUT\": \"writers\",\n\t\"POST\": \"writers\",\n\t\"DELETE\": \"writers\"\n};\n\n/*\nCheck whether a given user is authorized for the specified authorizationType (\"readers\" or \"writers\"). Pass null or undefined as the username to check for anonymous access\n*/\nServer.prototype.isAuthorized = function(authorizationType,username) {\n\tvar principals = this.authorizationPrincipals[authorizationType] || [];\n\treturn principals.indexOf(\"(anon)\") !== -1 || (username && (principals.indexOf(\"(authenticated)\") !== -1 || principals.indexOf(username) !== -1));\n}\n\nServer.prototype.requestHandler = function(request,response) {\n\t// Compose the state object\n\tvar self = this;\n\tvar state = {};\n\tstate.wiki = self.wiki;\n\tstate.server = self;\n\tstate.urlInfo = url.parse(request.url);\n\tstate.queryParameters = querystring.parse(state.urlInfo.query);\n\t// Get the principals authorized to access this resource\n\tvar authorizationType = this.methodMappings[request.method] || \"readers\";\n\t// Check for the CSRF header if this is a write\n\tif(!this.csrfDisable && authorizationType === \"writers\" && request.headers[\"x-requested-with\"] !== \"TiddlyWiki\") {\n\t\tresponse.writeHead(403,\"'X-Requested-With' header required to login to '\" + this.servername + \"'\");\n\t\tresponse.end();\n\t\treturn;\t\t\n\t}\n\t// Check whether anonymous access is granted\n\tstate.allowAnon = this.isAuthorized(authorizationType,null);\n\t// Authenticate with the first active authenticator\n\tif(this.authenticators.length > 0) {\n\t\tif(!this.authenticators[0].authenticateRequest(request,response,state)) {\n\t\t\t// Bail if we failed (the authenticator will have sent the response)\n\t\t\treturn;\n\t\t}\t\t\n\t}\n\t// Authorize with the authenticated username\n\tif(!this.isAuthorized(authorizationType,state.authenticatedUsername)) {\n\t\tresponse.writeHead(401,\"'\" + state.authenticatedUsername + \"' is not authorized to access '\" + this.servername + \"'\");\n\t\tresponse.end();\n\t\treturn;\n\t}\n\t// Find the route that matches this path\n\tvar route = self.findMatchingRoute(request,state);\n\t// Optionally output debug info\n\tif(self.get(\"debug-level\") !== \"none\") {\n\t\tconsole.log(\"Request path:\",JSON.stringify(state.urlInfo));\n\t\tconsole.log(\"Request headers:\",JSON.stringify(request.headers));\n\t\tconsole.log(\"authenticatedUsername:\",state.authenticatedUsername);\n\t}\n\t// Return a 404 if we didn't find a route\n\tif(!route) {\n\t\tresponse.writeHead(404);\n\t\tresponse.end();\n\t\treturn;\n\t}\n\t// Receive the request body if necessary and hand off to the route handler\n\tif(route.bodyFormat === \"stream\" || request.method === \"GET\" || request.method === \"HEAD\") {\n\t\t// Let the route handle the request stream itself\n\t\troute.handler(request,response,state);\n\t} else if(route.bodyFormat === \"string\" || !route.bodyFormat) {\n\t\t// Set the encoding for the incoming request\n\t\trequest.setEncoding(\"utf8\");\n\t\tvar data = \"\";\n\t\trequest.on(\"data\",function(chunk) {\n\t\t\tdata += chunk.toString();\n\t\t});\n\t\trequest.on(\"end\",function() {\n\t\t\tstate.data = data;\n\t\t\troute.handler(request,response,state);\n\t\t});\n\t} else if(route.bodyFormat === \"buffer\") {\n\t\tvar data = [];\n\t\trequest.on(\"data\",function(chunk) {\n\t\t\tdata.push(chunk);\n\t\t});\n\t\trequest.on(\"end\",function() {\n\t\t\tstate.data = Buffer.concat(data);\n\t\t\troute.handler(request,response,state);\n\t\t})\n\t} else {\n\t\tresponse.writeHead(400,\"Invalid bodyFormat \" + route.bodyFormat + \" in route \" + route.method + \" \" + route.path.source);\n\t\tresponse.end();\n\t}\n};\n\n/*\nListen for requests\nport: optional port number (falls back to value of \"port\" variable)\nhost: optional host address (falls back to value of \"host\" variable)\nprefix: optional prefix (falls back to value of \"path-prefix\" variable)\n*/\nServer.prototype.listen = function(port,host,prefix) {\n\tvar self = this;\n\t// Handle defaults for port and host\n\tport = port || this.get(\"port\");\n\thost = host || this.get(\"host\");\n\tprefix = prefix || this.get(\"path-prefix\") || \"\";\n\t// Check for the port being a string and look it up as an environment variable\n\tif(parseInt(port,10).toString() !== port) {\n\t\tport = process.env[port] || 8080;\n\t}\n\t// Warn if required plugins are missing\n\tif(!$tw.wiki.getTiddler(\"$:/plugins/tiddlywiki/tiddlyweb\") || !$tw.wiki.getTiddler(\"$:/plugins/tiddlywiki/filesystem\")) {\n\t\t$tw.utils.warning(\"Warning: Plugins required for client-server operation (\\\"tiddlywiki/filesystem\\\" and \\\"tiddlywiki/tiddlyweb\\\") are missing from tiddlywiki.info file\");\n\t}\n\t// Create the server\n\tvar server;\n\tif(this.listenOptions) {\n\t\tserver = this.transport.createServer(this.listenOptions,this.requestHandler.bind(this));\n\t} else {\n\t\tserver = this.transport.createServer(this.requestHandler.bind(this));\n\t}\n\t// Display the port number after we've started listening (the port number might have been specified as zero, in which case we will get an assigned port)\n\tserver.on(\"listening\",function() {\n\t\tvar address = server.address();\n\t\t$tw.utils.log(\"Serving on \" + self.protocol + \"://\" + address.address + \":\" + address.port + prefix,\"brown/orange\");\n\t\t$tw.utils.log(\"(press ctrl-C to exit)\",\"red\");\n\t});\n\t// Listen\n\treturn server.listen(port,host);\n};\n\nexports.Server = Server;\n\n})();\n",
"type": "application/javascript",
"module-type": "library"
},
"$:/core/modules/browser-messaging.js": {
"title": "$:/core/modules/browser-messaging.js",
"text": "/*\\\ntitle: $:/core/modules/browser-messaging.js\ntype: application/javascript\nmodule-type: startup\n\nBrowser message handling\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"browser-messaging\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\n/*\nLoad a specified url as an iframe and call the callback when it is loaded. If the url is already loaded then the existing iframe instance is used\n*/\nfunction loadIFrame(url,callback) {\n\t// Check if iframe already exists\n\tvar iframeInfo = $tw.browserMessaging.iframeInfoMap[url];\n\tif(iframeInfo) {\n\t\t// We've already got the iframe\n\t\tcallback(null,iframeInfo);\n\t} else {\n\t\t// Create the iframe and save it in the list\n\t\tvar iframe = document.createElement(\"iframe\");\n\t\tiframeInfo = {\n\t\t\turl: url,\n\t\t\tstatus: \"loading\",\n\t\t\tdomNode: iframe\n\t\t};\n\t\t$tw.browserMessaging.iframeInfoMap[url] = iframeInfo;\n\t\tsaveIFrameInfoTiddler(iframeInfo);\n\t\t// Add the iframe to the DOM and hide it\n\t\tiframe.style.display = \"none\";\n\t\tiframe.setAttribute(\"library\",\"true\");\n\t\tdocument.body.appendChild(iframe);\n\t\t// Set up onload\n\t\tiframe.onload = function() {\n\t\t\tiframeInfo.status = \"loaded\";\n\t\t\tsaveIFrameInfoTiddler(iframeInfo);\n\t\t\tcallback(null,iframeInfo);\n\t\t};\n\t\tiframe.onerror = function() {\n\t\t\tcallback(\"Cannot load iframe\");\n\t\t};\n\t\ttry {\n\t\t\tiframe.src = url;\n\t\t} catch(ex) {\n\t\t\tcallback(ex);\n\t\t}\n\t}\n}\n\n/*\nUnload library iframe for given url\n*/\nfunction unloadIFrame(url){\n\t$tw.utils.each(document.getElementsByTagName('iframe'), function(iframe) {\n\t\tif(iframe.getAttribute(\"library\") === \"true\" &&\n\t\t iframe.getAttribute(\"src\") === url) {\n\t\t\tiframe.parentNode.removeChild(iframe);\n\t\t}\n\t});\n}\n\nfunction saveIFrameInfoTiddler(iframeInfo) {\n\t$tw.wiki.addTiddler(new $tw.Tiddler($tw.wiki.getCreationFields(),{\n\t\ttitle: \"$:/temp/ServerConnection/\" + iframeInfo.url,\n\t\ttext: iframeInfo.status,\n\t\ttags: [\"$:/tags/ServerConnection\"],\n\t\turl: iframeInfo.url\n\t},$tw.wiki.getModificationFields()));\n}\n\nexports.startup = function() {\n\t// Initialise the store of iframes we've created\n\t$tw.browserMessaging = {\n\t\tiframeInfoMap: {} // Hashmap by URL of {url:,status:\"loading/loaded\",domNode:}\n\t};\n\t// Listen for widget messages to control loading the plugin library\n\t$tw.rootWidget.addEventListener(\"tm-load-plugin-library\",function(event) {\n\t\tvar paramObject = event.paramObject || {},\n\t\t\turl = paramObject.url;\n\t\tif(url) {\n\t\t\tloadIFrame(url,function(err,iframeInfo) {\n\t\t\t\tif(err) {\n\t\t\t\t\talert($tw.language.getString(\"Error/LoadingPluginLibrary\") + \": \" + url);\n\t\t\t\t} else {\n\t\t\t\t\tiframeInfo.domNode.contentWindow.postMessage({\n\t\t\t\t\t\tverb: \"GET\",\n\t\t\t\t\t\turl: \"recipes/library/tiddlers.json\",\n\t\t\t\t\t\tcookies: {\n\t\t\t\t\t\t\ttype: \"save-info\",\n\t\t\t\t\t\t\tinfoTitlePrefix: paramObject.infoTitlePrefix || \"$:/temp/RemoteAssetInfo/\",\n\t\t\t\t\t\t\turl: url\n\t\t\t\t\t\t}\n\t\t\t\t\t},\"*\");\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\t// Listen for widget messages to control unloading the plugin library\n\t$tw.rootWidget.addEventListener(\"tm-unload-plugin-library\",function(event) {\n\t\tvar paramObject = event.paramObject || {},\n\t\t\turl = paramObject.url;\n\t\t$tw.browserMessaging.iframeInfoMap[url] = undefined;\n\t\tif(url) {\n\t\t\tunloadIFrame(url);\n\t\t\t$tw.utils.each(\n\t\t\t\t$tw.wiki.filterTiddlers(\"[[$:/temp/ServerConnection/\" + url + \"]] [prefix[$:/temp/RemoteAssetInfo/\" + url + \"/]]\"),\n\t\t\t\tfunction(title) {\n\t\t\t\t\t$tw.wiki.deleteTiddler(title);\n\t\t\t\t}\n\t\t\t);\n\t\t}\n\t});\n\t$tw.rootWidget.addEventListener(\"tm-load-plugin-from-library\",function(event) {\n\t\tvar paramObject = event.paramObject || {},\n\t\t\turl = paramObject.url,\n\t\t\ttitle = paramObject.title;\n\t\tif(url && title) {\n\t\t\tloadIFrame(url,function(err,iframeInfo) {\n\t\t\t\tif(err) {\n\t\t\t\t\talert($tw.language.getString(\"Error/LoadingPluginLibrary\") + \": \" + url);\n\t\t\t\t} else {\n\t\t\t\t\tiframeInfo.domNode.contentWindow.postMessage({\n\t\t\t\t\t\tverb: \"GET\",\n\t\t\t\t\t\turl: \"recipes/library/tiddlers/\" + encodeURIComponent(title) + \".json\",\n\t\t\t\t\t\tcookies: {\n\t\t\t\t\t\t\ttype: \"save-tiddler\",\n\t\t\t\t\t\t\turl: url\n\t\t\t\t\t\t}\n\t\t\t\t\t},\"*\");\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\t// Listen for window messages from other windows\n\twindow.addEventListener(\"message\",function listener(event){\n\t\t// console.log(\"browser-messaging: \",document.location.toString())\n\t\t// console.log(\"browser-messaging: Received message from\",event.origin);\n\t\t// console.log(\"browser-messaging: Message content\",event.data);\n\t\tswitch(event.data.verb) {\n\t\t\tcase \"GET-RESPONSE\":\n\t\t\t\tif(event.data.status.charAt(0) === \"2\") {\n\t\t\t\t\tif(event.data.cookies) {\n\t\t\t\t\t\tif(event.data.cookies.type === \"save-info\") {\n\t\t\t\t\t\t\tvar tiddlers = JSON.parse(event.data.body);\n\t\t\t\t\t\t\t$tw.utils.each(tiddlers,function(tiddler) {\n\t\t\t\t\t\t\t\t$tw.wiki.addTiddler(new $tw.Tiddler($tw.wiki.getCreationFields(),tiddler,{\n\t\t\t\t\t\t\t\t\ttitle: event.data.cookies.infoTitlePrefix + event.data.cookies.url + \"/\" + tiddler.title,\n\t\t\t\t\t\t\t\t\t\"original-title\": tiddler.title,\n\t\t\t\t\t\t\t\t\ttext: \"\",\n\t\t\t\t\t\t\t\t\ttype: \"text/vnd.tiddlywiki\",\n\t\t\t\t\t\t\t\t\t\"original-type\": tiddler.type,\n\t\t\t\t\t\t\t\t\t\"plugin-type\": undefined,\n\t\t\t\t\t\t\t\t\t\"original-plugin-type\": tiddler[\"plugin-type\"],\n\t\t\t\t\t\t\t\t\t\"module-type\": undefined,\n\t\t\t\t\t\t\t\t\t\"original-module-type\": tiddler[\"module-type\"],\n\t\t\t\t\t\t\t\t\ttags: [\"$:/tags/RemoteAssetInfo\"],\n\t\t\t\t\t\t\t\t\t\"original-tags\": $tw.utils.stringifyList(tiddler.tags || []),\n\t\t\t\t\t\t\t\t\t\"server-url\": event.data.cookies.url\n\t\t\t\t\t\t\t\t},$tw.wiki.getModificationFields()));\n\t\t\t\t\t\t\t});\n\t\t\t\t\t\t} else if(event.data.cookies.type === \"save-tiddler\") {\n\t\t\t\t\t\t\tvar tiddler = JSON.parse(event.data.body);\n\t\t\t\t\t\t\t$tw.wiki.addTiddler(new $tw.Tiddler(tiddler));\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t}\n\t},false);\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/commands.js": {
"title": "$:/core/modules/startup/commands.js",
"text": "/*\\\ntitle: $:/core/modules/startup/commands.js\ntype: application/javascript\nmodule-type: startup\n\nCommand processing\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"commands\";\nexports.platforms = [\"node\"];\nexports.after = [\"story\"];\nexports.synchronous = false;\n\nexports.startup = function(callback) {\n\t// On the server, start a commander with the command line arguments\n\tvar commander = new $tw.Commander(\n\t\t$tw.boot.argv,\n\t\tfunction(err) {\n\t\t\tif(err) {\n\t\t\t\treturn $tw.utils.error(\"Error: \" + err);\n\t\t\t}\n\t\t\tcallback();\n\t\t},\n\t\t$tw.wiki,\n\t\t{output: process.stdout, error: process.stderr}\n\t);\n\tcommander.execute();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/CSSescape.js": {
"title": "$:/core/modules/startup/CSSescape.js",
"text": "/*\\\ntitle: $:/core/modules/startup/CSSescape.js\ntype: application/javascript\nmodule-type: startup\n\nPolyfill for CSS.escape()\n\n\\*/\n(function(root,factory){\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"css-escape\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\n/*! https://mths.be/cssescape v1.5.1 by @mathias | MIT license */\n// https://github.com/umdjs/umd/blob/master/returnExports.js\nexports.startup = factory(root);\n}(typeof global != 'undefined' ? global : this, function(root) {\n\n\tif (root.CSS && root.CSS.escape) {\n\t\treturn;\n\t}\n\n\t// https://drafts.csswg.org/cssom/#serialize-an-identifier\n\tvar cssEscape = function(value) {\n\t\tif (arguments.length == 0) {\n\t\t\tthrow new TypeError('`CSS.escape` requires an argument.');\n\t\t}\n\t\tvar string = String(value);\n\t\tvar length = string.length;\n\t\tvar index = -1;\n\t\tvar codeUnit;\n\t\tvar result = '';\n\t\tvar firstCodeUnit = string.charCodeAt(0);\n\t\twhile (++index < length) {\n\t\t\tcodeUnit = string.charCodeAt(index);\n\t\t\t// Note: there’s no need to special-case astral symbols, surrogate\n\t\t\t// pairs, or lone surrogates.\n\n\t\t\t// If the character is NULL (U+0000), then the REPLACEMENT CHARACTER\n\t\t\t// (U+FFFD).\n\t\t\tif (codeUnit == 0x0000) {\n\t\t\t\tresult += '\\uFFFD';\n\t\t\t\tcontinue;\n\t\t\t}\n\n\t\t\tif (\n\t\t\t\t// If the character is in the range [\\1-\\1F] (U+0001 to U+001F) or is\n\t\t\t\t// U+007F, […]\n\t\t\t\t(codeUnit >= 0x0001 && codeUnit <= 0x001F) || codeUnit == 0x007F ||\n\t\t\t\t// If the character is the first character and is in the range [0-9]\n\t\t\t\t// (U+0030 to U+0039), […]\n\t\t\t\t(index == 0 && codeUnit >= 0x0030 && codeUnit <= 0x0039) ||\n\t\t\t\t// If the character is the second character and is in the range [0-9]\n\t\t\t\t// (U+0030 to U+0039) and the first character is a `-` (U+002D), […]\n\t\t\t\t(\n\t\t\t\t\tindex == 1 &&\n\t\t\t\t\tcodeUnit >= 0x0030 && codeUnit <= 0x0039 &&\n\t\t\t\t\tfirstCodeUnit == 0x002D\n\t\t\t\t)\n\t\t\t) {\n\t\t\t\t// https://drafts.csswg.org/cssom/#escape-a-character-as-code-point\n\t\t\t\tresult += '\\\\' + codeUnit.toString(16) + ' ';\n\t\t\t\tcontinue;\n\t\t\t}\n\n\t\t\tif (\n\t\t\t\t// If the character is the first character and is a `-` (U+002D), and\n\t\t\t\t// there is no second character, […]\n\t\t\t\tindex == 0 &&\n\t\t\t\tlength == 1 &&\n\t\t\t\tcodeUnit == 0x002D\n\t\t\t) {\n\t\t\t\tresult += '\\\\' + string.charAt(index);\n\t\t\t\tcontinue;\n\t\t\t}\n\n\t\t\t// If the character is not handled by one of the above rules and is\n\t\t\t// greater than or equal to U+0080, is `-` (U+002D) or `_` (U+005F), or\n\t\t\t// is in one of the ranges [0-9] (U+0030 to U+0039), [A-Z] (U+0041 to\n\t\t\t// U+005A), or [a-z] (U+0061 to U+007A), […]\n\t\t\tif (\n\t\t\t\tcodeUnit >= 0x0080 ||\n\t\t\t\tcodeUnit == 0x002D ||\n\t\t\t\tcodeUnit == 0x005F ||\n\t\t\t\tcodeUnit >= 0x0030 && codeUnit <= 0x0039 ||\n\t\t\t\tcodeUnit >= 0x0041 && codeUnit <= 0x005A ||\n\t\t\t\tcodeUnit >= 0x0061 && codeUnit <= 0x007A\n\t\t\t) {\n\t\t\t\t// the character itself\n\t\t\t\tresult += string.charAt(index);\n\t\t\t\tcontinue;\n\t\t\t}\n\n\t\t\t// Otherwise, the escaped character.\n\t\t\t// https://drafts.csswg.org/cssom/#escape-a-character\n\t\t\tresult += '\\\\' + string.charAt(index);\n\n\t\t}\n\t\treturn result;\n\t};\n\n\tif (!root.CSS) {\n\t\troot.CSS = {};\n\t}\n\n\troot.CSS.escape = cssEscape;\n\n}));\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/favicon.js": {
"title": "$:/core/modules/startup/favicon.js",
"text": "/*\\\ntitle: $:/core/modules/startup/favicon.js\ntype: application/javascript\nmodule-type: startup\n\nFavicon handling\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"favicon\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\t\t\n// Favicon tiddler\nvar FAVICON_TITLE = \"$:/favicon.ico\";\n\nexports.startup = function() {\n\t// Set up the favicon\n\tsetFavicon();\n\t// Reset the favicon when the tiddler changes\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\tif($tw.utils.hop(changes,FAVICON_TITLE)) {\n\t\t\tsetFavicon();\n\t\t}\n\t});\n};\n\nfunction setFavicon() {\n\tvar tiddler = $tw.wiki.getTiddler(FAVICON_TITLE);\n\tif(tiddler) {\n\t\tvar faviconLink = document.getElementById(\"faviconLink\");\n\t\tfaviconLink.setAttribute(\"href\",\"data:\" + tiddler.fields.type + \";base64,\" + tiddler.fields.text);\n\t}\n}\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/info.js": {
"title": "$:/core/modules/startup/info.js",
"text": "/*\\\ntitle: $:/core/modules/startup/info.js\ntype: application/javascript\nmodule-type: startup\n\nInitialise $:/info tiddlers via $:/temp/info-plugin pseudo-plugin\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"info\";\nexports.before = [\"startup\"];\nexports.after = [\"load-modules\"];\nexports.synchronous = true;\n\nvar TITLE_INFO_PLUGIN = \"$:/temp/info-plugin\";\n\nexports.startup = function() {\n\t// Collect up the info tiddlers\n\tvar infoTiddlerFields = {};\n\t// Give each info module a chance to fill in as many info tiddlers as they want\n\t$tw.modules.forEachModuleOfType(\"info\",function(title,moduleExports) {\n\t\tif(moduleExports && moduleExports.getInfoTiddlerFields) {\n\t\t\tvar tiddlerFieldsArray = moduleExports.getInfoTiddlerFields(infoTiddlerFields);\n\t\t\t$tw.utils.each(tiddlerFieldsArray,function(fields) {\n\t\t\t\tif(fields) {\n\t\t\t\t\tinfoTiddlerFields[fields.title] = fields;\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\t// Bake the info tiddlers into a plugin. We use the non-standard plugin-type \"info\" because ordinary plugins are only registered asynchronously after being loaded dynamically\n\tvar fields = {\n\t\ttitle: TITLE_INFO_PLUGIN,\n\t\ttype: \"application/json\",\n\t\t\"plugin-type\": \"info\",\n\t\ttext: JSON.stringify({tiddlers: infoTiddlerFields},null,$tw.config.preferences.jsonSpaces)\n\t};\n\t$tw.wiki.addTiddler(new $tw.Tiddler(fields));\n\t$tw.wiki.readPluginInfo([TITLE_INFO_PLUGIN]);\n\t$tw.wiki.registerPluginTiddlers(\"info\");\n\t$tw.wiki.unpackPluginTiddlers();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/load-modules.js": {
"title": "$:/core/modules/startup/load-modules.js",
"text": "/*\\\ntitle: $:/core/modules/startup/load-modules.js\ntype: application/javascript\nmodule-type: startup\n\nLoad core modules\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"load-modules\";\nexports.synchronous = true;\n\nexports.startup = function() {\n\t// Load modules\n\t$tw.modules.applyMethods(\"utils\",$tw.utils);\n\tif($tw.node) {\n\t\t$tw.modules.applyMethods(\"utils-node\",$tw.utils);\n\t}\n\t$tw.modules.applyMethods(\"global\",$tw);\n\t$tw.modules.applyMethods(\"config\",$tw.config);\n\t$tw.Tiddler.fieldModules = $tw.modules.getModulesByTypeAsHashmap(\"tiddlerfield\");\n\t$tw.modules.applyMethods(\"tiddlermethod\",$tw.Tiddler.prototype);\n\t$tw.modules.applyMethods(\"wikimethod\",$tw.Wiki.prototype);\n\t$tw.wiki.addIndexersToWiki();\n\t$tw.modules.applyMethods(\"tiddlerdeserializer\",$tw.Wiki.tiddlerDeserializerModules);\n\t$tw.macros = $tw.modules.getModulesByTypeAsHashmap(\"macro\");\n\t$tw.wiki.initParsers();\n\t$tw.Commander.initCommands();\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/password.js": {
"title": "$:/core/modules/startup/password.js",
"text": "/*\\\ntitle: $:/core/modules/startup/password.js\ntype: application/javascript\nmodule-type: startup\n\nPassword handling\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"password\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\nexports.startup = function() {\n\t$tw.rootWidget.addEventListener(\"tm-set-password\",function(event) {\n\t\t$tw.passwordPrompt.createPrompt({\n\t\t\tserviceName: $tw.language.getString(\"Encryption/PromptSetPassword\"),\n\t\t\tnoUserName: true,\n\t\t\tsubmitText: $tw.language.getString(\"Encryption/SetPassword\"),\n\t\t\tcanCancel: true,\n\t\t\trepeatPassword: true,\n\t\t\tcallback: function(data) {\n\t\t\t\tif(data) {\n\t\t\t\t\t$tw.crypto.setPassword(data.password);\n\t\t\t\t}\n\t\t\t\treturn true; // Get rid of the password prompt\n\t\t\t}\n\t\t});\n\t});\n\t$tw.rootWidget.addEventListener(\"tm-clear-password\",function(event) {\n\t\tif($tw.browser) {\n\t\t\tif(!confirm($tw.language.getString(\"Encryption/ConfirmClearPassword\"))) {\n\t\t\t\treturn;\n\t\t\t}\n\t\t}\n\t\t$tw.crypto.setPassword(null);\n\t});\n\t// Ensure that $:/isEncrypted is maintained properly\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\tif($tw.utils.hop(changes,\"$:/isEncrypted\")) {\n\t\t\t$tw.crypto.updateCryptoStateTiddler();\n\t\t}\n\t});\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/plugins.js": {
"title": "$:/core/modules/startup/plugins.js",
"text": "/*\\\ntitle: $:/core/modules/startup/plugins.js\ntype: application/javascript\nmodule-type: startup\n\nStartup logic concerned with managing plugins\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"plugins\";\nexports.after = [\"load-modules\"];\nexports.synchronous = true;\n\nvar TITLE_REQUIRE_RELOAD_DUE_TO_PLUGIN_CHANGE = \"$:/status/RequireReloadDueToPluginChange\";\n\nvar PREFIX_CONFIG_REGISTER_PLUGIN_TYPE = \"$:/config/RegisterPluginType/\";\n\nexports.startup = function() {\n\t$tw.wiki.addTiddler({title: TITLE_REQUIRE_RELOAD_DUE_TO_PLUGIN_CHANGE,text: \"no\"});\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\tvar changesToProcess = [],\n\t\t\trequireReloadDueToPluginChange = false;\n\t\t$tw.utils.each(Object.keys(changes),function(title) {\n\t\t\tvar tiddler = $tw.wiki.getTiddler(title),\n\t\t\t\trequiresReload = $tw.wiki.doesPluginRequireReload(title);\n\t\t\tif(requiresReload) {\n\t\t\t\trequireReloadDueToPluginChange = true;\n\t\t\t} else if(tiddler) {\n\t\t\t\tvar pluginType = tiddler.fields[\"plugin-type\"];\n\t\t\t\tif($tw.wiki.getTiddlerText(PREFIX_CONFIG_REGISTER_PLUGIN_TYPE + (tiddler.fields[\"plugin-type\"] || \"\"),\"no\") === \"yes\") {\n\t\t\t\t\tchangesToProcess.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t\tif(requireReloadDueToPluginChange) {\n\t\t\t$tw.wiki.addTiddler({title: TITLE_REQUIRE_RELOAD_DUE_TO_PLUGIN_CHANGE,text: \"yes\"});\n\t\t}\n\t\t// Read or delete the plugin info of the changed tiddlers\n\t\tif(changesToProcess.length > 0) {\n\t\t\tvar changes = $tw.wiki.readPluginInfo(changesToProcess);\n\t\t\tif(changes.modifiedPlugins.length > 0 || changes.deletedPlugins.length > 0) {\n\t\t\t\t// (Re-)register any modified plugins\n\t\t\t\t$tw.wiki.registerPluginTiddlers(null,changes.modifiedPlugins);\n\t\t\t\t// Unregister any deleted plugins\n\t\t\t\t$tw.wiki.unregisterPluginTiddlers(null,changes.deletedPlugins);\n\t\t\t\t// Unpack the shadow tiddlers\n\t\t\t\t$tw.wiki.unpackPluginTiddlers();\n\t\t\t}\n\t\t}\n\t});\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/render.js": {
"title": "$:/core/modules/startup/render.js",
"text": "/*\\\ntitle: $:/core/modules/startup/render.js\ntype: application/javascript\nmodule-type: startup\n\nTitle, stylesheet and page rendering\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"render\";\nexports.platforms = [\"browser\"];\nexports.after = [\"story\"];\nexports.synchronous = true;\n\n// Default story and history lists\nvar PAGE_TITLE_TITLE = \"$:/core/wiki/title\";\nvar PAGE_STYLESHEET_TITLE = \"$:/core/ui/PageStylesheet\";\nvar PAGE_TEMPLATE_TITLE = \"$:/core/ui/PageTemplate\";\n\n// Time (in ms) that we defer refreshing changes to draft tiddlers\nvar DRAFT_TIDDLER_TIMEOUT_TITLE = \"$:/config/Drafts/TypingTimeout\";\nvar THROTTLE_REFRESH_TIMEOUT = 400;\n\nexports.startup = function() {\n\t// Set up the title\n\t$tw.titleWidgetNode = $tw.wiki.makeTranscludeWidget(PAGE_TITLE_TITLE,{document: $tw.fakeDocument, parseAsInline: true});\n\t$tw.titleContainer = $tw.fakeDocument.createElement(\"div\");\n\t$tw.titleWidgetNode.render($tw.titleContainer,null);\n\tdocument.title = $tw.titleContainer.textContent;\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\tif($tw.titleWidgetNode.refresh(changes,$tw.titleContainer,null)) {\n\t\t\tdocument.title = $tw.titleContainer.textContent;\n\t\t}\n\t});\n\t// Set up the styles\n\t$tw.styleWidgetNode = $tw.wiki.makeTranscludeWidget(PAGE_STYLESHEET_TITLE,{document: $tw.fakeDocument});\n\t$tw.styleContainer = $tw.fakeDocument.createElement(\"style\");\n\t$tw.styleWidgetNode.render($tw.styleContainer,null);\n\t$tw.styleElement = document.createElement(\"style\");\n\t$tw.styleElement.innerHTML = $tw.styleContainer.textContent;\n\tdocument.head.insertBefore($tw.styleElement,document.head.firstChild);\n\t$tw.wiki.addEventListener(\"change\",$tw.perf.report(\"styleRefresh\",function(changes) {\n\t\tif($tw.styleWidgetNode.refresh(changes,$tw.styleContainer,null)) {\n\t\t\t$tw.styleElement.innerHTML = $tw.styleContainer.textContent;\n\t\t}\n\t}));\n\t// Display the $:/core/ui/PageTemplate tiddler to kick off the display\n\t$tw.perf.report(\"mainRender\",function() {\n\t\t$tw.pageWidgetNode = $tw.wiki.makeTranscludeWidget(PAGE_TEMPLATE_TITLE,{document: document, parentWidget: $tw.rootWidget});\n\t\t$tw.pageContainer = document.createElement(\"div\");\n\t\t$tw.utils.addClass($tw.pageContainer,\"tc-page-container-wrapper\");\n\t\tdocument.body.insertBefore($tw.pageContainer,document.body.firstChild);\n\t\t$tw.pageWidgetNode.render($tw.pageContainer,null);\n \t\t$tw.hooks.invokeHook(\"th-page-refreshed\");\n\t})();\n\t// Remove any splash screen elements\n\tvar removeList = document.querySelectorAll(\".tc-remove-when-wiki-loaded\");\n\t$tw.utils.each(removeList,function(removeItem) {\n\t\tif(removeItem.parentNode) {\n\t\t\tremoveItem.parentNode.removeChild(removeItem);\n\t\t}\n\t});\n\t// Prepare refresh mechanism\n\tvar deferredChanges = Object.create(null),\n\t\ttimerId;\n\tfunction refresh() {\n\t\t// Process the refresh\n\t\t$tw.hooks.invokeHook(\"th-page-refreshing\");\n\t\t$tw.pageWidgetNode.refresh(deferredChanges);\n\t\tdeferredChanges = Object.create(null);\n\t\t$tw.hooks.invokeHook(\"th-page-refreshed\");\n\t}\n\t// Add the change event handler\n\t$tw.wiki.addEventListener(\"change\",$tw.perf.report(\"mainRefresh\",function(changes) {\n\t\t// Check if only tiddlers that are throttled have changed\n\t\tvar onlyThrottledTiddlersHaveChanged = true;\n\t\tfor(var title in changes) {\n\t\t\tvar tiddler = $tw.wiki.getTiddler(title);\n\t\t\tif(!tiddler || !(tiddler.hasField(\"draft.of\") || tiddler.hasField(\"throttle.refresh\"))) {\n\t\t\t\tonlyThrottledTiddlersHaveChanged = false;\n\t\t\t}\n\t\t}\n\t\t// Defer the change if only drafts have changed\n\t\tif(timerId) {\n\t\t\tclearTimeout(timerId);\n\t\t}\n\t\ttimerId = null;\n\t\tif(onlyThrottledTiddlersHaveChanged) {\n\t\t\tvar timeout = parseInt($tw.wiki.getTiddlerText(DRAFT_TIDDLER_TIMEOUT_TITLE,\"\"),10);\n\t\t\tif(isNaN(timeout)) {\n\t\t\t\ttimeout = THROTTLE_REFRESH_TIMEOUT;\n\t\t\t}\n\t\t\ttimerId = setTimeout(refresh,timeout);\n\t\t\t$tw.utils.extend(deferredChanges,changes);\n\t\t} else {\n\t\t\t$tw.utils.extend(deferredChanges,changes);\n\t\t\trefresh();\n\t\t}\n\t}));\n\t// Fix up the link between the root widget and the page container\n\t$tw.rootWidget.domNodes = [$tw.pageContainer];\n\t$tw.rootWidget.children = [$tw.pageWidgetNode];\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/rootwidget.js": {
"title": "$:/core/modules/startup/rootwidget.js",
"text": "/*\\\ntitle: $:/core/modules/startup/rootwidget.js\ntype: application/javascript\nmodule-type: startup\n\nSetup the root widget and the core root widget handlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"rootwidget\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.before = [\"story\"];\nexports.synchronous = true;\n\nexports.startup = function() {\n\t// Install the modal message mechanism\n\t$tw.modal = new $tw.utils.Modal($tw.wiki);\n\t$tw.rootWidget.addEventListener(\"tm-modal\",function(event) {\n\t\t$tw.modal.display(event.param,{variables: event.paramObject, event: event});\n\t});\n\t// Install the notification mechanism\n\t$tw.notifier = new $tw.utils.Notifier($tw.wiki);\n\t$tw.rootWidget.addEventListener(\"tm-notify\",function(event) {\n\t\t$tw.notifier.display(event.param,{variables: event.paramObject});\n\t});\n\t// Install the copy-to-clipboard mechanism\n\t$tw.rootWidget.addEventListener(\"tm-copy-to-clipboard\",function(event) {\n\t\t$tw.utils.copyToClipboard(event.param);\n\t});\n\t// Install the tm-focus-selector message\n\t$tw.rootWidget.addEventListener(\"tm-focus-selector\",function(event) {\n\t\tvar selector = event.param || \"\",\n\t\t\telement;\n\t\ttry {\n\t\t\telement = document.querySelector(selector);\n\t\t} catch(e) {\n\t\t\tconsole.log(\"Error in selector: \",selector)\n\t\t}\n\t\tif(element && element.focus) {\n\t\t\telement.focus(event.paramObject);\n\t\t}\n\t});\n\t// Install the scroller\n\t$tw.pageScroller = new $tw.utils.PageScroller();\n\t$tw.rootWidget.addEventListener(\"tm-scroll\",function(event) {\n\t\t$tw.pageScroller.handleEvent(event);\n\t});\n\tvar fullscreen = $tw.utils.getFullScreenApis();\n\tif(fullscreen) {\n\t\t$tw.rootWidget.addEventListener(\"tm-full-screen\",function(event) {\n\t\t\tvar fullScreenDocument = event.event ? event.event.target.ownerDocument : document;\n\t\t\tif(event.param === \"enter\") {\n\t\t\t\tfullScreenDocument.documentElement[fullscreen._requestFullscreen](Element.ALLOW_KEYBOARD_INPUT);\n\t\t\t} else if(event.param === \"exit\") {\n\t\t\t\tfullScreenDocument[fullscreen._exitFullscreen]();\n\t\t\t} else {\n\t\t\t\tif(fullScreenDocument[fullscreen._fullscreenElement]) {\n\t\t\t\t\tfullScreenDocument[fullscreen._exitFullscreen]();\n\t\t\t\t} else {\n\t\t\t\t\tfullScreenDocument.documentElement[fullscreen._requestFullscreen](Element.ALLOW_KEYBOARD_INPUT);\n\t\t\t\t}\t\t\t\t\n\t\t\t}\n\t\t});\n\t}\n\t// If we're being viewed on a data: URI then give instructions for how to save\n\tif(document.location.protocol === \"data:\") {\n\t\t$tw.rootWidget.dispatchEvent({\n\t\t\ttype: \"tm-modal\",\n\t\t\tparam: \"$:/language/Modals/SaveInstructions\"\n\t\t});\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup.js": {
"title": "$:/core/modules/startup.js",
"text": "/*\\\ntitle: $:/core/modules/startup.js\ntype: application/javascript\nmodule-type: startup\n\nMiscellaneous startup logic for both the client and server.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"startup\";\nexports.after = [\"load-modules\"];\nexports.synchronous = true;\n\n// Set to `true` to enable performance instrumentation\nvar PERFORMANCE_INSTRUMENTATION_CONFIG_TITLE = \"$:/config/Performance/Instrumentation\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.startup = function() {\n\tvar modules,n,m,f;\n\t// Minimal browser detection\n\tif($tw.browser) {\n\t\t$tw.browser.isIE = (/msie|trident/i.test(navigator.userAgent));\n\t\t$tw.browser.isFirefox = !!document.mozFullScreenEnabled;\n\t}\n\t// Platform detection\n\t$tw.platform = {};\n\tif($tw.browser) {\n\t\t$tw.platform.isMac = /Mac/.test(navigator.platform);\n\t\t$tw.platform.isWindows = /win/i.test(navigator.platform);\n\t\t$tw.platform.isLinux = /Linux/i.test(navigator.platform);\n\t} else {\n\t\tswitch(require(\"os\").platform()) {\n\t\t\tcase \"darwin\":\n\t\t\t\t$tw.platform.isMac = true;\n\t\t\t\tbreak;\n\t\t\tcase \"win32\":\n\t\t\t\t$tw.platform.isWindows = true;\n\t\t\t\tbreak;\n\t\t\tcase \"freebsd\":\n\t\t\t\t$tw.platform.isLinux = true;\n\t\t\t\tbreak;\n\t\t\tcase \"linux\":\n\t\t\t\t$tw.platform.isLinux = true;\n\t\t\t\tbreak;\n\t\t}\n\t}\n\t// Initialise version\n\t$tw.version = $tw.utils.extractVersionInfo();\n\t// Set up the performance framework\n\t$tw.perf = new $tw.Performance($tw.wiki.getTiddlerText(PERFORMANCE_INSTRUMENTATION_CONFIG_TITLE,\"no\") === \"yes\");\n\t// Create a root widget for attaching event handlers. By using it as the parentWidget for another widget tree, one can reuse the event handlers\n\t$tw.rootWidget = new widget.widget({\n\t\ttype: \"widget\",\n\t\tchildren: []\n\t},{\n\t\twiki: $tw.wiki,\n\t\tdocument: $tw.browser ? document : $tw.fakeDocument\n\t});\n\t// Execute any startup actions\n\tvar executeStartupTiddlers = function(tag) {\n\t\t$tw.utils.each($tw.wiki.filterTiddlers(\"[all[shadows+tiddlers]tag[\" + tag + \"]!has[draft.of]]\"),function(title) {\n\t\t\t$tw.rootWidget.invokeActionString($tw.wiki.getTiddlerText(title),$tw.rootWidget);\n\t\t});\n\t};\n\texecuteStartupTiddlers(\"$:/tags/StartupAction\");\n\tif($tw.browser) {\n\t\texecuteStartupTiddlers(\"$:/tags/StartupAction/Browser\");\t\t\n\t}\n\tif($tw.node) {\n\t\texecuteStartupTiddlers(\"$:/tags/StartupAction/Node\");\t\t\n\t}\n\t// Kick off the language manager and switcher\n\t$tw.language = new $tw.Language();\n\t$tw.languageSwitcher = new $tw.PluginSwitcher({\n\t\twiki: $tw.wiki,\n\t\tpluginType: \"language\",\n\t\tcontrollerTitle: \"$:/language\",\n\t\tdefaultPlugins: [\n\t\t\t\"$:/languages/en-GB\"\n\t\t],\n\t\tonSwitch: function(plugins) {\n\t\t\tif($tw.browser) {\n\t\t\t\tvar pluginTiddler = $tw.wiki.getTiddler(plugins[0]);\n\t\t\t\tif(pluginTiddler) {\n\t\t\t\t\tdocument.documentElement.setAttribute(\"dir\",pluginTiddler.getFieldString(\"text-direction\") || \"auto\");\n\t\t\t\t} else {\n\t\t\t\t\tdocument.documentElement.removeAttribute(\"dir\");\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\t// Kick off the theme manager\n\t$tw.themeManager = new $tw.PluginSwitcher({\n\t\twiki: $tw.wiki,\n\t\tpluginType: \"theme\",\n\t\tcontrollerTitle: \"$:/theme\",\n\t\tdefaultPlugins: [\n\t\t\t\"$:/themes/tiddlywiki/snowwhite\",\n\t\t\t\"$:/themes/tiddlywiki/vanilla\"\n\t\t]\n\t});\n\t// Kick off the keyboard manager\n\t$tw.keyboardManager = new $tw.KeyboardManager();\n\t// Listen for shortcuts\n\tif($tw.browser) {\n\t\t$tw.utils.addEventListeners(document,[{\n\t\t\tname: \"keydown\",\n\t\t\thandlerObject: $tw.keyboardManager,\n\t\t\thandlerMethod: \"handleKeydownEvent\"\n\t\t}]);\n\t}\n\t// Clear outstanding tiddler store change events to avoid an unnecessary refresh cycle at startup\n\t$tw.wiki.clearTiddlerEventQueue();\n\t// Find a working syncadaptor\n\t$tw.syncadaptor = undefined;\n\t$tw.modules.forEachModuleOfType(\"syncadaptor\",function(title,module) {\n\t\tif(!$tw.syncadaptor && module.adaptorClass) {\n\t\t\t$tw.syncadaptor = new module.adaptorClass({wiki: $tw.wiki});\n\t\t}\n\t});\n\t// Set up the syncer object if we've got a syncadaptor\n\tif($tw.syncadaptor) {\n\t\t$tw.syncer = new $tw.Syncer({wiki: $tw.wiki, syncadaptor: $tw.syncadaptor});\n\t}\n\t// Setup the saver handler\n\t$tw.saverHandler = new $tw.SaverHandler({\n\t\twiki: $tw.wiki,\n\t\tdirtyTracking: !$tw.syncadaptor,\n\t\tpreloadDirty: $tw.boot.preloadDirty || []\n\t});\n\t// Host-specific startup\n\tif($tw.browser) {\n\t\t// Install the popup manager\n\t\t$tw.popup = new $tw.utils.Popup();\n\t\t// Install the animator\n\t\t$tw.anim = new $tw.utils.Animator();\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/story.js": {
"title": "$:/core/modules/startup/story.js",
"text": "/*\\\ntitle: $:/core/modules/startup/story.js\ntype: application/javascript\nmodule-type: startup\n\nLoad core modules\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"story\";\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\n// Default story and history lists\nvar DEFAULT_STORY_TITLE = \"$:/StoryList\";\nvar DEFAULT_HISTORY_TITLE = \"$:/HistoryList\";\n\n// Default tiddlers\nvar DEFAULT_TIDDLERS_TITLE = \"$:/DefaultTiddlers\";\n\n// Config\nvar CONFIG_UPDATE_ADDRESS_BAR = \"$:/config/Navigation/UpdateAddressBar\"; // Can be \"no\", \"permalink\", \"permaview\"\nvar CONFIG_UPDATE_HISTORY = \"$:/config/Navigation/UpdateHistory\"; // Can be \"yes\" or \"no\"\nvar CONFIG_PERMALINKVIEW_COPY_TO_CLIPBOARD = \"$:/config/Navigation/Permalinkview/CopyToClipboard\"; // Can be \"yes\" (default) or \"no\"\nvar CONFIG_PERMALINKVIEW_UPDATE_ADDRESS_BAR = \"$:/config/Navigation/Permalinkview/UpdateAddressBar\"; // Can be \"yes\" (default) or \"no\"\n\n\n// Links to help, if there is no param\nvar HELP_OPEN_EXTERNAL_WINDOW = \"http://tiddlywiki.com/#WidgetMessage%3A%20tm-open-external-window\";\n\nexports.startup = function() {\n\t// Open startup tiddlers\n\topenStartupTiddlers({\n\t\tdisableHistory: $tw.boot.disableStartupNavigation\n\t});\n\tif($tw.browser) {\n\t\t// Set up location hash update\n\t\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\t\tif($tw.utils.hop(changes,DEFAULT_STORY_TITLE) || $tw.utils.hop(changes,DEFAULT_HISTORY_TITLE)) {\n\t\t\t\tupdateLocationHash({\n\t\t\t\t\tupdateAddressBar: $tw.wiki.getTiddlerText(CONFIG_UPDATE_ADDRESS_BAR,\"permaview\").trim(),\n\t\t\t\t\tupdateHistory: $tw.wiki.getTiddlerText(CONFIG_UPDATE_HISTORY,\"no\").trim()\n\t\t\t\t});\n\t\t\t}\n\t\t});\n\t\t// Listen for changes to the browser location hash\n\t\twindow.addEventListener(\"hashchange\",function() {\n\t\t\tvar hash = $tw.utils.getLocationHash();\n\t\t\tif(hash !== $tw.locationHash) {\n\t\t\t\t$tw.locationHash = hash;\n\t\t\t\topenStartupTiddlers({defaultToCurrentStory: true});\n\t\t\t}\n\t\t},false);\n\t\t// Listen for the tm-browser-refresh message\n\t\t$tw.rootWidget.addEventListener(\"tm-browser-refresh\",function(event) {\n\t\t\twindow.location.reload(true);\n\t\t});\n\t\t// Listen for tm-open-external-window message\n\t\t$tw.rootWidget.addEventListener(\"tm-open-external-window\",function(event) {\n\t\t\tvar paramObject = event.paramObject || {},\n\t\t\t\tstrUrl = event.param || HELP_OPEN_EXTERNAL_WINDOW,\n\t\t\t\tstrWindowName = paramObject.windowName,\n\t\t\t\tstrWindowFeatures = paramObject.windowFeatures;\n\t\t\twindow.open(strUrl, strWindowName, strWindowFeatures);\n\t\t});\n\t\t// Listen for the tm-print message\n\t\t$tw.rootWidget.addEventListener(\"tm-print\",function(event) {\n\t\t\t(event.event.view || window).print();\n\t\t});\n\t\t// Listen for the tm-home message\n\t\t$tw.rootWidget.addEventListener(\"tm-home\",function(event) {\n\t\t\twindow.location.hash = \"\";\n\t\t\tvar storyFilter = $tw.wiki.getTiddlerText(DEFAULT_TIDDLERS_TITLE),\n\t\t\t\tstoryList = $tw.wiki.filterTiddlers(storyFilter);\n\t\t\t//invoke any hooks that might change the default story list\n\t\t\tstoryList = $tw.hooks.invokeHook(\"th-opening-default-tiddlers-list\",storyList);\n\t\t\t$tw.wiki.addTiddler({title: DEFAULT_STORY_TITLE, text: \"\", list: storyList},$tw.wiki.getModificationFields());\n\t\t\tif(storyList[0]) {\n\t\t\t\t$tw.wiki.addToHistory(storyList[0]);\n\t\t\t}\n\t\t});\n\t\t// Listen for the tm-permalink message\n\t\t$tw.rootWidget.addEventListener(\"tm-permalink\",function(event) {\n\t\t\tupdateLocationHash({\n\t\t\t\tupdateAddressBar: $tw.wiki.getTiddlerText(CONFIG_PERMALINKVIEW_UPDATE_ADDRESS_BAR,\"yes\").trim() === \"yes\" ? \"permalink\" : \"none\",\n\t\t\t\tupdateHistory: $tw.wiki.getTiddlerText(CONFIG_UPDATE_HISTORY,\"no\").trim(),\n\t\t\t\ttargetTiddler: event.param || event.tiddlerTitle,\n\t\t\t\tcopyToClipboard: $tw.wiki.getTiddlerText(CONFIG_PERMALINKVIEW_COPY_TO_CLIPBOARD,\"yes\").trim() === \"yes\" ? \"permalink\" : \"none\"\n\t\t\t});\n\t\t});\n\t\t// Listen for the tm-permaview message\n\t\t$tw.rootWidget.addEventListener(\"tm-permaview\",function(event) {\n\t\t\tupdateLocationHash({\n\t\t\t\tupdateAddressBar: $tw.wiki.getTiddlerText(CONFIG_PERMALINKVIEW_UPDATE_ADDRESS_BAR,\"yes\").trim() === \"yes\" ? \"permaview\" : \"none\",\n\t\t\t\tupdateHistory: $tw.wiki.getTiddlerText(CONFIG_UPDATE_HISTORY,\"no\").trim(),\n\t\t\t\ttargetTiddler: event.param || event.tiddlerTitle,\n\t\t\t\tcopyToClipboard: $tw.wiki.getTiddlerText(CONFIG_PERMALINKVIEW_COPY_TO_CLIPBOARD,\"yes\").trim() === \"yes\" ? \"permaview\" : \"none\"\n\t\t\t});\t\t\t\t\n\t\t});\n\t}\n};\n\n/*\nProcess the location hash to open the specified tiddlers. Options:\ndisableHistory: if true $:/History is NOT updated\ndefaultToCurrentStory: If true, the current story is retained as the default, instead of opening the default tiddlers\n*/\nfunction openStartupTiddlers(options) {\n\toptions = options || {};\n\t// Work out the target tiddler and the story filter. \"null\" means \"unspecified\"\n\tvar target = null,\n\t\tstoryFilter = null;\n\tif($tw.locationHash.length > 1) {\n\t\tvar hash = $tw.locationHash.substr(1),\n\t\t\tsplit = hash.indexOf(\":\");\n\t\tif(split === -1) {\n\t\t\ttarget = decodeURIComponent(hash.trim());\n\t\t} else {\n\t\t\ttarget = decodeURIComponent(hash.substr(0,split).trim());\n\t\t\tstoryFilter = decodeURIComponent(hash.substr(split + 1).trim());\n\t\t}\n\t}\n\t// If the story wasn't specified use the current tiddlers or a blank story\n\tif(storyFilter === null) {\n\t\tif(options.defaultToCurrentStory) {\n\t\t\tvar currStoryList = $tw.wiki.getTiddlerList(DEFAULT_STORY_TITLE);\n\t\t\tstoryFilter = $tw.utils.stringifyList(currStoryList);\n\t\t} else {\n\t\t\tif(target && target !== \"\") {\n\t\t\t\tstoryFilter = \"\";\n\t\t\t} else {\n\t\t\t\tstoryFilter = $tw.wiki.getTiddlerText(DEFAULT_TIDDLERS_TITLE);\n\t\t\t}\n\t\t}\n\t}\n\t// Process the story filter to get the story list\n\tvar storyList = $tw.wiki.filterTiddlers(storyFilter);\n\t// Invoke any hooks that want to change the default story list\n\tstoryList = $tw.hooks.invokeHook(\"th-opening-default-tiddlers-list\",storyList);\n\t// If the target tiddler isn't included then splice it in at the top\n\tif(target && storyList.indexOf(target) === -1) {\n\t\tstoryList.unshift(target);\n\t}\n\t// Save the story list\n\t$tw.wiki.addTiddler({title: DEFAULT_STORY_TITLE, text: \"\", list: storyList},$tw.wiki.getModificationFields());\n\t// Update history\n\tif(!options.disableHistory) {\n\t\t// If a target tiddler was specified add it to the history stack\n\t\tif(target && target !== \"\") {\n\t\t\t// The target tiddler doesn't need double square brackets, but we'll silently remove them if they're present\n\t\t\tif(target.indexOf(\"[[\") === 0 && target.substr(-2) === \"]]\") {\n\t\t\t\ttarget = target.substr(2,target.length - 4);\n\t\t\t}\n\t\t\t$tw.wiki.addToHistory(target);\n\t\t} else if(storyList.length > 0) {\n\t\t\t$tw.wiki.addToHistory(storyList[0]);\n\t\t}\t\t\n\t}\n}\n\n/*\noptions: See below\noptions.updateAddressBar: \"permalink\", \"permaview\" or \"no\" (defaults to \"permaview\")\noptions.updateHistory: \"yes\" or \"no\" (defaults to \"no\")\noptions.copyToClipboard: \"permalink\", \"permaview\" or \"no\" (defaults to \"no\")\noptions.targetTiddler: optional title of target tiddler for permalink\n*/\nfunction updateLocationHash(options) {\n\t// Get the story and the history stack\n\tvar storyList = $tw.wiki.getTiddlerList(DEFAULT_STORY_TITLE),\n\t\thistoryList = $tw.wiki.getTiddlerData(DEFAULT_HISTORY_TITLE,[]),\n\t\ttargetTiddler = \"\";\n\tif(options.targetTiddler) {\n\t\ttargetTiddler = options.targetTiddler;\n\t} else {\n\t\t// The target tiddler is the one at the top of the stack\n\t\tif(historyList.length > 0) {\n\t\t\ttargetTiddler = historyList[historyList.length-1].title;\n\t\t}\n\t\t// Blank the target tiddler if it isn't present in the story\n\t\tif(storyList.indexOf(targetTiddler) === -1) {\n\t\t\ttargetTiddler = \"\";\n\t\t}\n\t}\n\t// Assemble the location hash\n\tswitch(options.updateAddressBar) {\n\t\tcase \"permalink\":\n\t\t\t$tw.locationHash = \"#\" + encodeURIComponent(targetTiddler);\n\t\t\tbreak;\n\t\tcase \"permaview\":\n\t\t\t$tw.locationHash = \"#\" + encodeURIComponent(targetTiddler) + \":\" + encodeURIComponent($tw.utils.stringifyList(storyList));\n\t\t\tbreak;\n\t}\n\t// Copy URL to the clipboard\n\tswitch(options.copyToClipboard) {\n\t\tcase \"permalink\":\n\t\t\t$tw.utils.copyToClipboard($tw.utils.getLocationPath() + \"#\" + encodeURIComponent(targetTiddler));\n\t\t\tbreak;\n\t\tcase \"permaview\":\n\t\t\t$tw.utils.copyToClipboard($tw.utils.getLocationPath() + \"#\" + encodeURIComponent(targetTiddler) + \":\" + encodeURIComponent($tw.utils.stringifyList(storyList)));\n\t\t\tbreak;\n\t}\n\t// Only change the location hash if we must, thus avoiding unnecessary onhashchange events\n\tif($tw.utils.getLocationHash() !== $tw.locationHash) {\n\t\tif(options.updateHistory === \"yes\") {\n\t\t\t// Assign the location hash so that history is updated\n\t\t\twindow.location.hash = $tw.locationHash;\n\t\t} else {\n\t\t\t// We use replace so that browser history isn't affected\n\t\t\twindow.location.replace(window.location.toString().split(\"#\")[0] + $tw.locationHash);\n\t\t}\n\t}\n}\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/windows.js": {
"title": "$:/core/modules/startup/windows.js",
"text": "/*\\\ntitle: $:/core/modules/startup/windows.js\ntype: application/javascript\nmodule-type: startup\n\nSetup root widget handlers for the messages concerned with opening external browser windows\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"windows\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\n// Global to keep track of open windows (hashmap by title)\nvar windows = {};\n\nexports.startup = function() {\n\t// Handle open window message\n\t$tw.rootWidget.addEventListener(\"tm-open-window\",function(event) {\n\t\t// Get the parameters\n\t\tvar refreshHandler,\n\t\t\ttitle = event.param || event.tiddlerTitle,\n\t\t\tparamObject = event.paramObject || {},\n\t\t\twindowTitle = paramObject.windowTitle || title,\n\t\t\ttemplate = paramObject.template || \"$:/core/templates/single.tiddler.window\",\n\t\t\twidth = paramObject.width || \"700\",\n\t\t\theight = paramObject.height || \"600\",\n\t\t\tvariables = $tw.utils.extend({},paramObject,{currentTiddler: title});\n\t\t// Open the window\n\t\tvar srcWindow,\n\t\t srcDocument;\n\t\t// In case that popup blockers deny opening a new window\n\t\ttry {\n\t\t\tsrcWindow = window.open(\"\",\"external-\" + title,\"scrollbars,width=\" + width + \",height=\" + height),\n\t\t\tsrcDocument = srcWindow.document;\n\t\t}\n\t\tcatch(e) {\n\t\t\treturn;\n\t\t}\n\t\twindows[title] = srcWindow;\n\t\t// Check for reopening the same window\n\t\tif(srcWindow.haveInitialisedWindow) {\n\t\t\treturn;\n\t\t}\n\t\t// Initialise the document\n\t\tsrcDocument.write(\"<html><head></head><body class='tc-body tc-single-tiddler-window'></body></html>\");\n\t\tsrcDocument.close();\n\t\tsrcDocument.title = windowTitle;\n\t\tsrcWindow.addEventListener(\"beforeunload\",function(event) {\n\t\t\tdelete windows[title];\n\t\t\t$tw.wiki.removeEventListener(\"change\",refreshHandler);\n\t\t},false);\n\t\t// Set up the styles\n\t\tvar styleWidgetNode = $tw.wiki.makeTranscludeWidget(\"$:/core/ui/PageStylesheet\",{\n\t\t\t\tdocument: $tw.fakeDocument,\n\t\t\t\tvariables: variables,\n\t\t\t\timportPageMacros: true}),\n\t\t\tstyleContainer = $tw.fakeDocument.createElement(\"style\");\n\t\tstyleWidgetNode.render(styleContainer,null);\n\t\tvar styleElement = srcDocument.createElement(\"style\");\n\t\tstyleElement.innerHTML = styleContainer.textContent;\n\t\tsrcDocument.head.insertBefore(styleElement,srcDocument.head.firstChild);\n\t\t// Render the text of the tiddler\n\t\tvar parser = $tw.wiki.parseTiddler(template),\n\t\t\twidgetNode = $tw.wiki.makeWidget(parser,{document: srcDocument, parentWidget: $tw.rootWidget, variables: variables});\n\t\twidgetNode.render(srcDocument.body,srcDocument.body.firstChild);\n\t\t// Function to handle refreshes\n\t\trefreshHandler = function(changes) {\n\t\t\tif(styleWidgetNode.refresh(changes,styleContainer,null)) {\n\t\t\t\tstyleElement.innerHTML = styleContainer.textContent;\n\t\t\t}\n\t\t\twidgetNode.refresh(changes);\n\t\t};\n\t\t$tw.wiki.addEventListener(\"change\",refreshHandler);\n\t\t// Listen for keyboard shortcuts\n\t\t$tw.utils.addEventListeners(srcDocument,[{\n\t\t\tname: \"keydown\",\n\t\t\thandlerObject: $tw.keyboardManager,\n\t\t\thandlerMethod: \"handleKeydownEvent\"\n\t\t},{\n\t\t\tname: \"click\",\n\t\t\thandlerObject: $tw.popup,\n\t\t\thandlerMethod: \"handleEvent\"\n\t\t}]);\n\t\tsrcWindow.haveInitialisedWindow = true;\n\t});\n\t// Close open windows when unloading main window\n\t$tw.addUnloadTask(function() {\n\t\t$tw.utils.each(windows,function(win) {\n\t\t\twin.close();\n\t\t});\n\t});\n\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/story.js": {
"title": "$:/core/modules/story.js",
"text": "/*\\\ntitle: $:/core/modules/story.js\ntype: application/javascript\nmodule-type: global\n\nLightweight object for managing interactions with the story and history lists.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nConstruct Story object with options:\nwiki: reference to wiki object to use to resolve tiddler titles\nstoryTitle: title of story list tiddler\nhistoryTitle: title of history list tiddler\n*/\nfunction Story(options) {\n\toptions = options || {};\n\tthis.wiki = options.wiki || $tw.wiki;\n\tthis.storyTitle = options.storyTitle || \"$:/StoryList\";\n\tthis.historyTitle = options.historyTitle || \"$:/HistoryList\";\n};\n\nStory.prototype.navigateTiddler = function(navigateTo,navigateFromTitle,navigateFromClientRect) {\n\tthis.addToStory(navigateTo,navigateFromTitle);\n\tthis.addToHistory(navigateTo,navigateFromClientRect);\n};\n\nStory.prototype.getStoryList = function() {\n\treturn this.wiki.getTiddlerList(this.storyTitle) || [];\n};\n\nStory.prototype.addToStory = function(navigateTo,navigateFromTitle,options) {\n\toptions = options || {};\n\tvar storyList = this.getStoryList();\n\t// See if the tiddler is already there\n\tvar slot = storyList.indexOf(navigateTo);\n\t// Quit if it already exists in the story river\n\tif(slot >= 0) {\n\t\treturn;\n\t}\n\t// First we try to find the position of the story element we navigated from\n\tvar fromIndex = storyList.indexOf(navigateFromTitle);\n\tif(fromIndex >= 0) {\n\t\t// The tiddler is added from inside the river\n\t\t// Determine where to insert the tiddler; Fallback is \"below\"\n\t\tswitch(options.openLinkFromInsideRiver) {\n\t\t\tcase \"top\":\n\t\t\t\tslot = 0;\n\t\t\t\tbreak;\n\t\t\tcase \"bottom\":\n\t\t\t\tslot = storyList.length;\n\t\t\t\tbreak;\n\t\t\tcase \"above\":\n\t\t\t\tslot = fromIndex;\n\t\t\t\tbreak;\n\t\t\tcase \"below\": // Intentional fall-through\n\t\t\tdefault:\n\t\t\t\tslot = fromIndex + 1;\n\t\t\t\tbreak;\n\t\t}\n\t} else {\n\t\t// The tiddler is opened from outside the river. Determine where to insert the tiddler; default is \"top\"\n\t\tif(options.openLinkFromOutsideRiver === \"bottom\") {\n\t\t\t// Insert at bottom\n\t\t\tslot = storyList.length;\n\t\t} else {\n\t\t\t// Insert at top\n\t\t\tslot = 0;\n\t\t}\n\t}\n\t// Add the tiddler\n\tstoryList.splice(slot,0,navigateTo);\n\t// Save the story\n\tthis.saveStoryList(storyList);\n};\n\nStory.prototype.saveStoryList = function(storyList) {\n\tvar storyTiddler = this.wiki.getTiddler(this.storyTitle);\n\tthis.wiki.addTiddler(new $tw.Tiddler(\n\t\tthis.wiki.getCreationFields(),\n\t\t{title: this.storyTitle},\n\t\tstoryTiddler,\n\t\t{list: storyList},\n\t\tthis.wiki.getModificationFields()\n\t));\n};\n\nStory.prototype.addToHistory = function(navigateTo,navigateFromClientRect) {\n\tvar titles = $tw.utils.isArray(navigateTo) ? navigateTo : [navigateTo];\n\t// Add a new record to the top of the history stack\n\tvar historyList = this.wiki.getTiddlerData(this.historyTitle,[]);\n\t$tw.utils.each(titles,function(title) {\n\t\thistoryList.push({title: title, fromPageRect: navigateFromClientRect});\n\t});\n\tthis.wiki.setTiddlerData(this.historyTitle,historyList,{\"current-tiddler\": titles[titles.length-1]});\n};\n\nStory.prototype.storyCloseTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyCloseAllTiddlers = function() {\n// TBD\n};\n\nStory.prototype.storyCloseOtherTiddlers = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyEditTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyDeleteTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storySaveTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyCancelTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyNewTiddler = function(targetTitle) {\n// TBD\n};\n\nexports.Story = Story;\n\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/storyviews/classic.js": {
"title": "$:/core/modules/storyviews/classic.js",
"text": "/*\\\ntitle: $:/core/modules/storyviews/classic.js\ntype: application/javascript\nmodule-type: storyview\n\nViews the story as a linear sequence\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar easing = \"cubic-bezier(0.645, 0.045, 0.355, 1)\"; // From http://easings.net/#easeInOutCubic\n\nvar ClassicStoryView = function(listWidget) {\n\tthis.listWidget = listWidget;\n};\n\nClassicStoryView.prototype.navigateTo = function(historyInfo) {\n\tvar duration = $tw.utils.getAnimationDuration()\n\tvar listElementIndex = this.listWidget.findListItem(0,historyInfo.title);\n\tif(listElementIndex === undefined) {\n\t\treturn;\n\t}\n\tvar listItemWidget = this.listWidget.children[listElementIndex],\n\t\ttargetElement = listItemWidget.findFirstDomNode();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\tif(duration) {\n\t\t// Scroll the node into view\n\t\tthis.listWidget.dispatchEvent({type: \"tm-scroll\", target: targetElement});\t\n\t} else {\n\t\ttargetElement.scrollIntoView();\n\t}\n};\n\nClassicStoryView.prototype.insert = function(widget) {\n\tvar duration = $tw.utils.getAnimationDuration();\n\tif(duration) {\n\t\tvar targetElement = widget.findFirstDomNode();\n\t\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\t\tif(!(targetElement instanceof Element)) {\n\t\t\treturn;\n\t\t}\n\t\t// Get the current height of the tiddler\n\t\tvar computedStyle = window.getComputedStyle(targetElement),\n\t\t\tcurrMarginBottom = parseInt(computedStyle.marginBottom,10),\n\t\t\tcurrMarginTop = parseInt(computedStyle.marginTop,10),\n\t\t\tcurrHeight = targetElement.offsetHeight + currMarginTop;\n\t\t// Reset the margin once the transition is over\n\t\tsetTimeout(function() {\n\t\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t\t{transition: \"none\"},\n\t\t\t\t{marginBottom: \"\"}\n\t\t\t]);\n\t\t},duration);\n\t\t// Set up the initial position of the element\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: \"none\"},\n\t\t\t{marginBottom: (-currHeight) + \"px\"},\n\t\t\t{opacity: \"0.0\"}\n\t\t]);\n\t\t$tw.utils.forceLayout(targetElement);\n\t\t// Transition to the final position\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: \"opacity \" + duration + \"ms \" + easing + \", \" +\n\t\t\t\t\t\t\"margin-bottom \" + duration + \"ms \" + easing},\n\t\t\t{marginBottom: currMarginBottom + \"px\"},\n\t\t\t{opacity: \"1.0\"}\n\t]);\n\t}\n};\n\nClassicStoryView.prototype.remove = function(widget) {\n\tvar duration = $tw.utils.getAnimationDuration();\n\tif(duration) {\n\t\tvar targetElement = widget.findFirstDomNode(),\n\t\t\tremoveElement = function() {\n\t\t\t\twidget.removeChildDomNodes();\n\t\t\t};\n\t\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\t\tif(!(targetElement instanceof Element)) {\n\t\t\tremoveElement();\n\t\t\treturn;\n\t\t}\n\t\t// Get the current height of the tiddler\n\t\tvar currWidth = targetElement.offsetWidth,\n\t\t\tcomputedStyle = window.getComputedStyle(targetElement),\n\t\t\tcurrMarginBottom = parseInt(computedStyle.marginBottom,10),\n\t\t\tcurrMarginTop = parseInt(computedStyle.marginTop,10),\n\t\t\tcurrHeight = targetElement.offsetHeight + currMarginTop;\n\t\t// Remove the dom nodes of the widget at the end of the transition\n\t\tsetTimeout(removeElement,duration);\n\t\t// Animate the closure\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: \"none\"},\n\t\t\t{transform: \"translateX(0px)\"},\n\t\t\t{marginBottom: currMarginBottom + \"px\"},\n\t\t\t{opacity: \"1.0\"}\n\t\t]);\n\t\t$tw.utils.forceLayout(targetElement);\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", \" +\n\t\t\t\t\t\t\"opacity \" + duration + \"ms \" + easing + \", \" +\n\t\t\t\t\t\t\"margin-bottom \" + duration + \"ms \" + easing},\n\t\t\t{transform: \"translateX(-\" + currWidth + \"px)\"},\n\t\t\t{marginBottom: (-currHeight) + \"px\"},\n\t\t\t{opacity: \"0.0\"}\n\t\t]);\n\t} else {\n\t\twidget.removeChildDomNodes();\n\t}\n};\n\nexports.classic = ClassicStoryView;\n\n})();",
"type": "application/javascript",
"module-type": "storyview"
},
"$:/core/modules/storyviews/pop.js": {
"title": "$:/core/modules/storyviews/pop.js",
"text": "/*\\\ntitle: $:/core/modules/storyviews/pop.js\ntype: application/javascript\nmodule-type: storyview\n\nAnimates list insertions and removals\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar PopStoryView = function(listWidget) {\n\tthis.listWidget = listWidget;\n};\n\nPopStoryView.prototype.navigateTo = function(historyInfo) {\n\tvar listElementIndex = this.listWidget.findListItem(0,historyInfo.title);\n\tif(listElementIndex === undefined) {\n\t\treturn;\n\t}\n\tvar listItemWidget = this.listWidget.children[listElementIndex],\n\t\ttargetElement = listItemWidget.findFirstDomNode();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\t// Scroll the node into view\n\tthis.listWidget.dispatchEvent({type: \"tm-scroll\", target: targetElement});\n};\n\nPopStoryView.prototype.insert = function(widget) {\n\tvar targetElement = widget.findFirstDomNode(),\n\t\tduration = $tw.utils.getAnimationDuration();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\t// Reset once the transition is over\n\tsetTimeout(function() {\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: \"none\"},\n\t\t\t{transform: \"none\"}\n\t\t]);\n\t\t$tw.utils.setStyle(widget.document.body,[\n\t\t\t{\"overflow-x\": \"\"}\n\t\t]);\n\t},duration);\n\t// Prevent the page from overscrolling due to the zoom factor\n\t$tw.utils.setStyle(widget.document.body,[\n\t\t{\"overflow-x\": \"hidden\"}\n\t]);\n\t// Set up the initial position of the element\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: \"none\"},\n\t\t{transform: \"scale(2)\"},\n\t\t{opacity: \"0.0\"}\n\t]);\n\t$tw.utils.forceLayout(targetElement);\n\t// Transition to the final position\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms ease-in-out\"},\n\t\t{transform: \"scale(1)\"},\n\t\t{opacity: \"1.0\"}\n\t]);\n};\n\nPopStoryView.prototype.remove = function(widget) {\n\tvar targetElement = widget.findFirstDomNode(),\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\tremoveElement = function() {\n\t\t\tif(targetElement && targetElement.parentNode) {\n\t\t\t\twidget.removeChildDomNodes();\n\t\t\t}\n\t\t};\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\tremoveElement();\n\t\treturn;\n\t}\n\t// Remove the element at the end of the transition\n\tsetTimeout(removeElement,duration);\n\t// Animate the closure\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: \"none\"},\n\t\t{transform: \"scale(1)\"},\n\t\t{opacity: \"1.0\"}\n\t]);\n\t$tw.utils.forceLayout(targetElement);\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms ease-in-out\"},\n\t\t{transform: \"scale(0.1)\"},\n\t\t{opacity: \"0.0\"}\n\t]);\n};\n\nexports.pop = PopStoryView;\n\n})();\n",
"type": "application/javascript",
"module-type": "storyview"
},
"$:/core/modules/storyviews/zoomin.js": {
"title": "$:/core/modules/storyviews/zoomin.js",
"text": "/*\\\ntitle: $:/core/modules/storyviews/zoomin.js\ntype: application/javascript\nmodule-type: storyview\n\nZooms between individual tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar easing = \"cubic-bezier(0.645, 0.045, 0.355, 1)\"; // From http://easings.net/#easeInOutCubic\n\nvar ZoominListView = function(listWidget) {\n\tvar self = this;\n\tthis.listWidget = listWidget;\n\t// Get the index of the tiddler that is at the top of the history\n\tvar history = this.listWidget.wiki.getTiddlerDataCached(this.listWidget.historyTitle,[]),\n\t\ttargetTiddler;\n\tif(history.length > 0) {\n\t\ttargetTiddler = history[history.length-1].title;\n\t}\n\t// Make all the tiddlers position absolute, and hide all but the top (or first) one\n\t$tw.utils.each(this.listWidget.children,function(itemWidget,index) {\n\t\tvar domNode = itemWidget.findFirstDomNode();\n\t\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\t\tif(!(domNode instanceof Element)) {\n\t\t\treturn;\n\t\t}\n\t\tif((targetTiddler && targetTiddler !== itemWidget.parseTreeNode.itemTitle) || (!targetTiddler && index)) {\n\t\t\tdomNode.style.display = \"none\";\n\t\t} else {\n\t\t\tself.currentTiddlerDomNode = domNode;\n\t\t}\n\t\t$tw.utils.addClass(domNode,\"tc-storyview-zoomin-tiddler\");\n\t});\n};\n\nZoominListView.prototype.navigateTo = function(historyInfo) {\n\tvar duration = $tw.utils.getAnimationDuration(),\n\t\tlistElementIndex = this.listWidget.findListItem(0,historyInfo.title);\n\tif(listElementIndex === undefined) {\n\t\treturn;\n\t}\n\tvar listItemWidget = this.listWidget.children[listElementIndex],\n\t\ttargetElement = listItemWidget.findFirstDomNode();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\t// Make the new tiddler be position absolute and visible so that we can measure it\n\t$tw.utils.addClass(targetElement,\"tc-storyview-zoomin-tiddler\");\n\t$tw.utils.setStyle(targetElement,[\n\t\t{display: \"block\"},\n\t\t{transformOrigin: \"0 0\"},\n\t\t{transform: \"translateX(0px) translateY(0px) scale(1)\"},\n\t\t{transition: \"none\"},\n\t\t{opacity: \"0.0\"}\n\t]);\n\t// Get the position of the source node, or use the centre of the window as the source position\n\tvar sourceBounds = historyInfo.fromPageRect || {\n\t\t\tleft: window.innerWidth/2 - 2,\n\t\t\ttop: window.innerHeight/2 - 2,\n\t\t\twidth: window.innerWidth/8,\n\t\t\theight: window.innerHeight/8\n\t\t};\n\t// Try to find the title node in the target tiddler\n\tvar titleDomNode = findTitleDomNode(listItemWidget) || listItemWidget.findFirstDomNode(),\n\t\tzoomBounds = titleDomNode.getBoundingClientRect();\n\t// Compute the transform for the target tiddler to make the title lie over the source rectange\n\tvar targetBounds = targetElement.getBoundingClientRect(),\n\t\tscale = sourceBounds.width / zoomBounds.width,\n\t\tx = sourceBounds.left - targetBounds.left - (zoomBounds.left - targetBounds.left) * scale,\n\t\ty = sourceBounds.top - targetBounds.top - (zoomBounds.top - targetBounds.top) * scale;\n\t// Transform the target tiddler to its starting position\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transform: \"translateX(\" + x + \"px) translateY(\" + y + \"px) scale(\" + scale + \")\"}\n\t]);\n\t// Force layout\n\t$tw.utils.forceLayout(targetElement);\n\t// Apply the ending transitions with a timeout to ensure that the previously applied transformations are applied first\n\tvar self = this,\n\t\tprevCurrentTiddler = this.currentTiddlerDomNode;\n\tthis.currentTiddlerDomNode = targetElement;\n\t// Transform the target tiddler to its natural size\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", opacity \" + duration + \"ms \" + easing},\n\t\t{opacity: \"1.0\"},\n\t\t{transform: \"translateX(0px) translateY(0px) scale(1)\"},\n\t\t{zIndex: \"500\"},\n\t]);\n\t// Transform the previous tiddler out of the way and then hide it\n\tif(prevCurrentTiddler && prevCurrentTiddler !== targetElement) {\n\t\tscale = zoomBounds.width / sourceBounds.width;\n\t\tx = zoomBounds.left - targetBounds.left - (sourceBounds.left - targetBounds.left) * scale;\n\t\ty = zoomBounds.top - targetBounds.top - (sourceBounds.top - targetBounds.top) * scale;\n\t\t$tw.utils.setStyle(prevCurrentTiddler,[\n\t\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", opacity \" + duration + \"ms \" + easing},\n\t\t\t{opacity: \"0.0\"},\n\t\t\t{transformOrigin: \"0 0\"},\n\t\t\t{transform: \"translateX(\" + x + \"px) translateY(\" + y + \"px) scale(\" + scale + \")\"},\n\t\t\t{zIndex: \"0\"}\n\t\t]);\n\t\t// Hide the tiddler when the transition has finished\n\t\tsetTimeout(function() {\n\t\t\tif(self.currentTiddlerDomNode !== prevCurrentTiddler) {\n\t\t\t\tprevCurrentTiddler.style.display = \"none\";\n\t\t\t}\n\t\t},duration);\n\t}\n\t// Scroll the target into view\n//\t$tw.pageScroller.scrollIntoView(targetElement);\n};\n\n/*\nFind the first child DOM node of a widget that has the class \"tc-title\"\n*/\nfunction findTitleDomNode(widget,targetClass) {\n\ttargetClass = targetClass || \"tc-title\";\n\tvar domNode = widget.findFirstDomNode();\n\tif(domNode && domNode.querySelector) {\n\t\treturn domNode.querySelector(\".\" + targetClass);\n\t}\n\treturn null;\n}\n\nZoominListView.prototype.insert = function(widget) {\n\tvar targetElement = widget.findFirstDomNode();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\t// Make the newly inserted node position absolute and hidden\n\t$tw.utils.addClass(targetElement,\"tc-storyview-zoomin-tiddler\");\n\t$tw.utils.setStyle(targetElement,[\n\t\t{display: \"none\"}\n\t]);\n};\n\nZoominListView.prototype.remove = function(widget) {\n\tvar targetElement = widget.findFirstDomNode(),\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\tremoveElement = function() {\n\t\t\twidget.removeChildDomNodes();\n\t\t};\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\tremoveElement();\n\t\treturn;\n\t}\n\t// Abandon if hidden\n\tif(targetElement.style.display != \"block\" ) {\n\t\tremoveElement();\n\t\treturn;\n\t}\n\t// Set up the tiddler that is being closed\n\t$tw.utils.addClass(targetElement,\"tc-storyview-zoomin-tiddler\");\n\t$tw.utils.setStyle(targetElement,[\n\t\t{display: \"block\"},\n\t\t{transformOrigin: \"50% 50%\"},\n\t\t{transform: \"translateX(0px) translateY(0px) scale(1)\"},\n\t\t{transition: \"none\"},\n\t\t{zIndex: \"0\"}\n\t]);\n\t// We'll move back to the previous or next element in the story\n\tvar toWidget = widget.previousSibling();\n\tif(!toWidget) {\n\t\ttoWidget = widget.nextSibling();\n\t}\n\tvar toWidgetDomNode = toWidget && toWidget.findFirstDomNode();\n\t// Set up the tiddler we're moving back in\n\tif(toWidgetDomNode) {\n\t\t$tw.utils.addClass(toWidgetDomNode,\"tc-storyview-zoomin-tiddler\");\n\t\t$tw.utils.setStyle(toWidgetDomNode,[\n\t\t\t{display: \"block\"},\n\t\t\t{transformOrigin: \"50% 50%\"},\n\t\t\t{transform: \"translateX(0px) translateY(0px) scale(10)\"},\n\t\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", opacity \" + duration + \"ms \" + easing},\n\t\t\t{opacity: \"0\"},\n\t\t\t{zIndex: \"500\"}\n\t\t]);\n\t\tthis.currentTiddlerDomNode = toWidgetDomNode;\n\t}\n\t// Animate them both\n\t// Force layout\n\t$tw.utils.forceLayout(this.listWidget.parentDomNode);\n\t// First, the tiddler we're closing\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transformOrigin: \"50% 50%\"},\n\t\t{transform: \"translateX(0px) translateY(0px) scale(0.1)\"},\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", opacity \" + duration + \"ms \" + easing},\n\t\t{opacity: \"0\"},\n\t\t{zIndex: \"0\"}\n\t]);\n\tsetTimeout(removeElement,duration);\n\t// Now the tiddler we're going back to\n\tif(toWidgetDomNode) {\n\t\t$tw.utils.setStyle(toWidgetDomNode,[\n\t\t\t{transform: \"translateX(0px) translateY(0px) scale(1)\"},\n\t\t\t{opacity: \"1\"}\n\t\t]);\n\t}\n\treturn true; // Indicate that we'll delete the DOM node\n};\n\nexports.zoomin = ZoominListView;\n\n})();\n",
"type": "application/javascript",
"module-type": "storyview"
},
"$:/core/modules/syncer.js": {
"title": "$:/core/modules/syncer.js",
"text": "/*\\\ntitle: $:/core/modules/syncer.js\ntype: application/javascript\nmodule-type: global\n\nThe syncer tracks changes to the store and synchronises them to a remote data store represented as a \"sync adaptor\"\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nDefaults\n*/\nSyncer.prototype.titleIsLoggedIn = \"$:/status/IsLoggedIn\";\nSyncer.prototype.titleIsAnonymous = \"$:/status/IsAnonymous\";\nSyncer.prototype.titleIsReadOnly = \"$:/status/IsReadOnly\";\nSyncer.prototype.titleUserName = \"$:/status/UserName\";\nSyncer.prototype.titleSyncFilter = \"$:/config/SyncFilter\";\nSyncer.prototype.titleSyncPollingInterval = \"$:/config/SyncPollingInterval\";\nSyncer.prototype.titleSyncDisableLazyLoading = \"$:/config/SyncDisableLazyLoading\";\nSyncer.prototype.titleSavedNotification = \"$:/language/Notifications/Save/Done\";\nSyncer.prototype.titleSyncThrottleInterval = \"$:/config/SyncThrottleInterval\";\nSyncer.prototype.taskTimerInterval = 1 * 1000; // Interval for sync timer\nSyncer.prototype.throttleInterval = 1 * 1000; // Defer saving tiddlers if they've changed in the last 1s...\nSyncer.prototype.errorRetryInterval = 5 * 1000; // Interval to retry after an error\nSyncer.prototype.fallbackInterval = 10 * 1000; // Unless the task is older than 10s\nSyncer.prototype.pollTimerInterval = 60 * 1000; // Interval for polling for changes from the adaptor\n\n/*\nInstantiate the syncer with the following options:\nsyncadaptor: reference to syncadaptor to be used\nwiki: wiki to be synced\n*/\nfunction Syncer(options) {\n\tvar self = this;\n\tthis.wiki = options.wiki;\n\t// Save parameters\n\tthis.syncadaptor = options.syncadaptor;\n\tthis.disableUI = !!options.disableUI;\n\tthis.titleIsLoggedIn = options.titleIsLoggedIn || this.titleIsLoggedIn;\n\tthis.titleUserName = options.titleUserName || this.titleUserName;\n\tthis.titleSyncFilter = options.titleSyncFilter || this.titleSyncFilter;\n\tthis.titleSavedNotification = options.titleSavedNotification || this.titleSavedNotification;\n\tthis.taskTimerInterval = options.taskTimerInterval || this.taskTimerInterval;\n\tthis.throttleInterval = options.throttleInterval || parseInt(this.wiki.getTiddlerText(this.titleSyncThrottleInterval,\"\"),10) || this.throttleInterval;\n\tthis.errorRetryInterval = options.errorRetryInterval || this.errorRetryInterval;\n\tthis.fallbackInterval = options.fallbackInterval || this.fallbackInterval;\n\tthis.pollTimerInterval = options.pollTimerInterval || parseInt(this.wiki.getTiddlerText(this.titleSyncPollingInterval,\"\"),10) || this.pollTimerInterval;\n\tthis.logging = \"logging\" in options ? options.logging : true;\n\t// Make a logger\n\tthis.logger = new $tw.utils.Logger(\"syncer\" + ($tw.browser ? \"-browser\" : \"\") + ($tw.node ? \"-server\" : \"\") + (this.syncadaptor.name ? (\"-\" + this.syncadaptor.name) : \"\"),{\n\t\tcolour: \"cyan\",\n\t\tenable: this.logging,\n\t\tsaveHistory: true\n\t});\n\t// Make another logger for connection errors\n\tthis.loggerConnection = new $tw.utils.Logger(\"syncer\" + ($tw.browser ? \"-browser\" : \"\") + ($tw.node ? \"-server\" : \"\") + (this.syncadaptor.name ? (\"-\" + this.syncadaptor.name) : \"\") + \"-connection\",{\n\t\tcolour: \"cyan\",\n\t\tenable: this.logging\n\t});\n\t// Ask the syncadaptor to use the main logger\n\tif(this.syncadaptor.setLoggerSaveBuffer) {\n\t\tthis.syncadaptor.setLoggerSaveBuffer(this.logger);\n\t}\n\t// Compile the dirty tiddler filter\n\tthis.filterFn = this.wiki.compileFilter(this.wiki.getTiddlerText(this.titleSyncFilter));\n\t// Record information for known tiddlers\n\tthis.readTiddlerInfo();\n\tthis.titlesToBeLoaded = {}; // Hashmap of titles of tiddlers that need loading from the server\n\tthis.titlesHaveBeenLazyLoaded = {}; // Hashmap of titles of tiddlers that have already been lazily loaded from the server\n\t// Timers\n\tthis.taskTimerId = null; // Timer for task dispatch\n\tthis.pollTimerId = null; // Timer for polling server\n\t// Number of outstanding requests\n\tthis.numTasksInProgress = 0;\n\t// Listen out for changes to tiddlers\n\tthis.wiki.addEventListener(\"change\",function(changes) {\n\t\t// Filter the changes to just include ones that are being synced\n\t\tvar filteredChanges = self.getSyncedTiddlers(function(callback) {\n\t\t\t$tw.utils.each(changes,function(change,title) {\n\t\t\t\tvar tiddler = self.wiki.tiddlerExists(title) && self.wiki.getTiddler(title);\n\t\t\t\tcallback(tiddler,title);\n\t\t\t});\n\t\t});\n\t\tif(filteredChanges.length > 0) {\n\t\t\tself.processTaskQueue();\n\t\t} else {\n\t\t\t// Look for deletions of tiddlers we're already syncing\t\n\t\t\tvar outstandingDeletion = false\n\t\t\t$tw.utils.each(changes,function(change,title,object) {\n\t\t\t\tif(change.deleted && $tw.utils.hop(self.tiddlerInfo,title)) {\n\t\t\t\t\toutstandingDeletion = true;\n\t\t\t\t}\n\t\t\t});\n\t\t\tif(outstandingDeletion) {\n\t\t\t\tself.processTaskQueue();\n\t\t\t}\n\t\t}\n\t});\n\t// Browser event handlers\n\tif($tw.browser && !this.disableUI) {\n\t\t// Set up our beforeunload handler\n\t\t$tw.addUnloadTask(function(event) {\n\t\t\tvar confirmationMessage;\n\t\t\tif(self.isDirty()) {\n\t\t\t\tconfirmationMessage = $tw.language.getString(\"UnsavedChangesWarning\");\n\t\t\t\tevent.returnValue = confirmationMessage; // Gecko\n\t\t\t}\n\t\t\treturn confirmationMessage;\n\t\t});\n\t\t// Listen out for login/logout/refresh events in the browser\n\t\t$tw.rootWidget.addEventListener(\"tm-login\",function() {\n\t\t\tself.handleLoginEvent();\n\t\t});\n\t\t$tw.rootWidget.addEventListener(\"tm-logout\",function() {\n\t\t\tself.handleLogoutEvent();\n\t\t});\n\t\t$tw.rootWidget.addEventListener(\"tm-server-refresh\",function() {\n\t\t\tself.handleRefreshEvent();\n\t\t});\n\t\t$tw.rootWidget.addEventListener(\"tm-copy-syncer-logs-to-clipboard\",function() {\n\t\t\t$tw.utils.copyToClipboard($tw.utils.getSystemInfo() + \"\\n\\nLog:\\n\" + self.logger.getBuffer());\n\t\t});\n\t}\n\t// Listen out for lazyLoad events\n\tif(!this.disableUI && $tw.wiki.getTiddlerText(this.titleSyncDisableLazyLoading) !== \"yes\") {\n\t\tthis.wiki.addEventListener(\"lazyLoad\",function(title) {\n\t\t\tself.handleLazyLoadEvent(title);\n\t\t});\t\t\n\t}\n\t// Get the login status\n\tthis.getStatus(function(err,isLoggedIn) {\n\t\t// Do a sync from the server\n\t\tself.syncFromServer();\n\t});\n}\n\n/*\nShow a generic network error alert\n*/\nSyncer.prototype.displayError = function(msg,err) {\n\tif(err === ($tw.language.getString(\"Error/XMLHttpRequest\") + \": 0\")) {\n\t\tthis.loggerConnection.alert($tw.language.getString(\"Error/NetworkErrorAlert\"));\n\t\tthis.logger.log(msg + \":\",err);\n\t} else {\n\t\tthis.logger.alert(msg + \":\",err);\n\t}\n};\n\n/*\nReturn an array of the tiddler titles that are subjected to syncing\n*/\nSyncer.prototype.getSyncedTiddlers = function(source) {\n\treturn this.filterFn.call(this.wiki,source);\n};\n\n/*\nReturn an array of the tiddler titles that are subjected to syncing\n*/\nSyncer.prototype.getTiddlerRevision = function(title) {\n\tif(this.syncadaptor && this.syncadaptor.getTiddlerRevision) {\n\t\treturn this.syncadaptor.getTiddlerRevision(title);\n\t} else {\n\t\treturn this.wiki.getTiddler(title).fields.revision;\t\n\t} \n};\n\n/*\nRead (or re-read) the latest tiddler info from the store\n*/\nSyncer.prototype.readTiddlerInfo = function() {\n\t// Hashmap by title of {revision:,changeCount:,adaptorInfo:}\n\t// \"revision\" is the revision of the tiddler last seen on the server, and \"changecount\" is the corresponding local changecount\n\tthis.tiddlerInfo = {};\n\t// Record information for known tiddlers\n\tvar self = this,\n\t\ttiddlers = this.getSyncedTiddlers();\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = self.wiki.tiddlerExists(title) && self.wiki.getTiddler(title);\n\t\tself.tiddlerInfo[title] = {\n\t\t\trevision: self.getTiddlerRevision(title),\n\t\t\tadaptorInfo: self.syncadaptor && self.syncadaptor.getTiddlerInfo(tiddler),\n\t\t\tchangeCount: self.wiki.getChangeCount(title)\n\t\t};\n\t});\n};\n\n/*\nChecks whether the wiki is dirty (ie the window shouldn't be closed)\n*/\nSyncer.prototype.isDirty = function() {\n\tthis.logger.log(\"Checking dirty status\");\n\t// Check tiddlers that are in the store and included in the filter function\n\tvar titles = this.getSyncedTiddlers();\n\tfor(var index=0; index<titles.length; index++) {\n\t\tvar title = titles[index],\n\t\t\ttiddlerInfo = this.tiddlerInfo[title];\n\t\tif(this.wiki.tiddlerExists(title)) {\n\t\t\tif(tiddlerInfo) {\n\t\t\t\t// If the tiddler is known on the server and has been modified locally then it needs to be saved to the server\n\t\t\t\tif($tw.wiki.getChangeCount(title) > tiddlerInfo.changeCount) {\n\t\t\t\t\treturn true;\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\t// If the tiddler isn't known on the server then it needs to be saved to the server\n\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\t}\n\t// Check tiddlers that are known from the server but not currently in the store\n\ttitles = Object.keys(this.tiddlerInfo);\n\tfor(index=0; index<titles.length; index++) {\n\t\tif(!this.wiki.tiddlerExists(titles[index])) {\n\t\t\t// There must be a pending delete\n\t\t\treturn true;\n\t\t}\n\t}\n\treturn false;\n};\n\n/*\nUpdate the document body with the class \"tc-dirty\" if the wiki has unsaved/unsynced changes\n*/\nSyncer.prototype.updateDirtyStatus = function() {\n\tif($tw.browser && !this.disableUI) {\n\t\tvar dirty = this.isDirty();\n\t\t$tw.utils.toggleClass(document.body,\"tc-dirty\",dirty);\n\t\tif(!dirty) {\n\t\t\tthis.loggerConnection.clearAlerts();\n\t\t}\n\t}\n};\n\n/*\nSave an incoming tiddler in the store, and updates the associated tiddlerInfo\n*/\nSyncer.prototype.storeTiddler = function(tiddlerFields) {\n\t// Save the tiddler\n\tvar tiddler = new $tw.Tiddler(tiddlerFields);\n\tthis.wiki.addTiddler(tiddler);\n\t// Save the tiddler revision and changeCount details\n\tthis.tiddlerInfo[tiddlerFields.title] = {\n\t\trevision: this.getTiddlerRevision(tiddlerFields.title),\n\t\tadaptorInfo: this.syncadaptor.getTiddlerInfo(tiddler),\n\t\tchangeCount: this.wiki.getChangeCount(tiddlerFields.title)\n\t};\n};\n\nSyncer.prototype.getStatus = function(callback) {\n\tvar self = this;\n\t// Check if the adaptor supports getStatus()\n\tif(this.syncadaptor && this.syncadaptor.getStatus) {\n\t\t// Mark us as not logged in\n\t\tthis.wiki.addTiddler({title: this.titleIsLoggedIn,text: \"no\"});\n\t\t// Get login status\n\t\tthis.syncadaptor.getStatus(function(err,isLoggedIn,username,isReadOnly,isAnonymous) {\n\t\t\tif(err) {\n\t\t\t\tself.logger.alert(err);\n\t\t\t} else {\n\t\t\t\t// Set the various status tiddlers\n\t\t\t\tself.wiki.addTiddler({title: self.titleIsReadOnly,text: isReadOnly ? \"yes\" : \"no\"});\n\t\t\t\tself.wiki.addTiddler({title: self.titleIsAnonymous,text: isAnonymous ? \"yes\" : \"no\"});\n\t\t\t\tself.wiki.addTiddler({title: self.titleIsLoggedIn,text: isLoggedIn ? \"yes\" : \"no\"});\n\t\t\t\tif(isLoggedIn) {\n\t\t\t\t\tself.wiki.addTiddler({title: self.titleUserName,text: username || \"\"});\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Invoke the callback\n\t\t\tif(callback) {\n\t\t\t\tcallback(err,isLoggedIn,username);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tcallback(null,true,\"UNAUTHENTICATED\");\n\t}\n};\n\n/*\nSynchronise from the server by reading the skinny tiddler list and queuing up loads for any tiddlers that we don't already have up to date\n*/\nSyncer.prototype.syncFromServer = function() {\n\tvar self = this,\n\t\tcancelNextSync = function() {\n\t\t\tif(self.pollTimerId) {\n\t\t\t\tclearTimeout(self.pollTimerId);\n\t\t\t\tself.pollTimerId = null;\n\t\t\t}\n\t\t},\n\t\ttriggerNextSync = function() {\n\t\t\tself.pollTimerId = setTimeout(function() {\n\t\t\t\tself.pollTimerId = null;\n\t\t\t\tself.syncFromServer.call(self);\n\t\t\t},self.pollTimerInterval);\n\t\t};\n\tif(this.syncadaptor && this.syncadaptor.getUpdatedTiddlers) {\n\t\tthis.logger.log(\"Retrieving updated tiddler list\");\n\t\tcancelNextSync();\n\t\tthis.syncadaptor.getUpdatedTiddlers(self,function(err,updates) {\n\t\t\ttriggerNextSync();\n\t\t\tif(err) {\n\t\t\t\tself.displayError($tw.language.getString(\"Error/RetrievingSkinny\"),err);\n\t\t\t\treturn;\n\t\t\t}\n\t\t\tif(updates) {\n\t\t\t\t$tw.utils.each(updates.modifications,function(title) {\n\t\t\t\t\tself.titlesToBeLoaded[title] = true;\n\t\t\t\t});\n\t\t\t\t$tw.utils.each(updates.deletions,function(title) {\n\t\t\t\t\tdelete self.tiddlerInfo[title];\n\t\t\t\t\tself.logger.log(\"Deleting tiddler missing from server:\",title);\n\t\t\t\t\tself.wiki.deleteTiddler(title);\n\t\t\t\t});\n\t\t\t\tif(updates.modifications.length > 0 || updates.deletions.length > 0) {\n\t\t\t\t\tself.processTaskQueue();\n\t\t\t\t}\t\t\t\t\n\t\t\t}\n\t\t});\n\t} else if(this.syncadaptor && this.syncadaptor.getSkinnyTiddlers) {\n\t\tthis.logger.log(\"Retrieving skinny tiddler list\");\n\t\tcancelNextSync();\n\t\tthis.syncadaptor.getSkinnyTiddlers(function(err,tiddlers) {\n\t\t\ttriggerNextSync();\n\t\t\t// Check for errors\n\t\t\tif(err) {\n\t\t\t\tself.displayError($tw.language.getString(\"Error/RetrievingSkinny\"),err);\n\t\t\t\treturn;\n\t\t\t}\n\t\t\t// Keep track of which tiddlers we already know about have been reported this time\n\t\t\tvar previousTitles = Object.keys(self.tiddlerInfo);\n\t\t\t// Process each incoming tiddler\n\t\t\tfor(var t=0; t<tiddlers.length; t++) {\n\t\t\t\t// Get the incoming tiddler fields, and the existing tiddler\n\t\t\t\tvar tiddlerFields = tiddlers[t],\n\t\t\t\t\tincomingRevision = tiddlerFields.revision + \"\",\n\t\t\t\t\ttiddler = self.wiki.tiddlerExists(tiddlerFields.title) && self.wiki.getTiddler(tiddlerFields.title),\n\t\t\t\t\ttiddlerInfo = self.tiddlerInfo[tiddlerFields.title],\n\t\t\t\t\tcurrRevision = tiddlerInfo ? tiddlerInfo.revision : null,\n\t\t\t\t\tindexInPreviousTitles = previousTitles.indexOf(tiddlerFields.title);\n\t\t\t\tif(indexInPreviousTitles !== -1) {\n\t\t\t\t\tpreviousTitles.splice(indexInPreviousTitles,1);\n\t\t\t\t}\n\t\t\t\t// Ignore the incoming tiddler if it's the same as the revision we've already got\n\t\t\t\tif(currRevision !== incomingRevision) {\n\t\t\t\t\t// Only load the skinny version if we don't already have a fat version of the tiddler\n\t\t\t\t\tif(!tiddler || tiddler.fields.text === undefined) {\n\t\t\t\t\t\tself.storeTiddler(tiddlerFields);\n\t\t\t\t\t}\n\t\t\t\t\t// Do a full load of this tiddler\n\t\t\t\t\tself.titlesToBeLoaded[tiddlerFields.title] = true;\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Delete any tiddlers that were previously reported but missing this time\n\t\t\t$tw.utils.each(previousTitles,function(title) {\n\t\t\t\tdelete self.tiddlerInfo[title];\n\t\t\t\tself.logger.log(\"Deleting tiddler missing from server:\",title);\n\t\t\t\tself.wiki.deleteTiddler(title);\n\t\t\t});\n\t\t\tself.processTaskQueue();\n\t\t});\n\t}\n};\n\n/*\nForce load a tiddler from the server\n*/\nSyncer.prototype.enqueueLoadTiddler = function(title) {\n\tthis.titlesToBeLoaded[title] = true;\n\tthis.processTaskQueue();\n};\n\n/*\nLazily load a skinny tiddler if we can\n*/\nSyncer.prototype.handleLazyLoadEvent = function(title) {\n\t// Ignore if the syncadaptor doesn't handle it\n\tif(!this.syncadaptor.supportsLazyLoading) {\n\t\treturn;\n\t}\n\t// Don't lazy load the same tiddler twice\n\tif(!this.titlesHaveBeenLazyLoaded[title]) {\n\t\t// Don't lazy load if the tiddler isn't included in the sync filter\n\t\tif(this.getSyncedTiddlers().indexOf(title) !== -1) {\n\t\t\t// Mark the tiddler as needing loading, and having already been lazily loaded\n\t\t\tthis.titlesToBeLoaded[title] = true;\n\t\t\tthis.titlesHaveBeenLazyLoaded[title] = true;\n\t\t}\n\t}\n};\n\n/*\nDispay a password prompt and allow the user to login\n*/\nSyncer.prototype.handleLoginEvent = function() {\n\tvar self = this;\n\tthis.getStatus(function(err,isLoggedIn,username) {\n\t\tif(!err && !isLoggedIn) {\n\t\t\t$tw.passwordPrompt.createPrompt({\n\t\t\t\tserviceName: $tw.language.getString(\"LoginToTiddlySpace\"),\n\t\t\t\tcallback: function(data) {\n\t\t\t\t\tself.login(data.username,data.password,function(err,isLoggedIn) {\n\t\t\t\t\t\tself.syncFromServer();\n\t\t\t\t\t});\n\t\t\t\t\treturn true; // Get rid of the password prompt\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n};\n\n/*\nAttempt to login to TiddlyWeb.\n\tusername: username\n\tpassword: password\n\tcallback: invoked with arguments (err,isLoggedIn)\n*/\nSyncer.prototype.login = function(username,password,callback) {\n\tthis.logger.log(\"Attempting to login as\",username);\n\tvar self = this;\n\tif(this.syncadaptor.login) {\n\t\tthis.syncadaptor.login(username,password,function(err) {\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tself.getStatus(function(err,isLoggedIn,username) {\n\t\t\t\tif(callback) {\n\t\t\t\t\tcallback(err,isLoggedIn);\n\t\t\t\t}\n\t\t\t});\n\t\t});\n\t} else {\n\t\tcallback(null,true);\n\t}\n};\n\n/*\nAttempt to log out of TiddlyWeb\n*/\nSyncer.prototype.handleLogoutEvent = function() {\n\tthis.logger.log(\"Attempting to logout\");\n\tvar self = this;\n\tif(this.syncadaptor.logout) {\n\t\tthis.syncadaptor.logout(function(err) {\n\t\t\tif(err) {\n\t\t\t\tself.logger.alert(err);\n\t\t\t} else {\n\t\t\t\tself.getStatus();\n\t\t\t}\n\t\t});\n\t}\n};\n\n/*\nImmediately refresh from the server\n*/\nSyncer.prototype.handleRefreshEvent = function() {\n\tthis.syncFromServer();\n};\n\n/*\nProcess the next task\n*/\nSyncer.prototype.processTaskQueue = function() {\n\tvar self = this;\n\t// Only process a task if the sync adaptor is fully initialised and we're not already performing\n\t// a task. If we are already performing a task then we'll dispatch the next one when it completes\n\tif((!this.syncadaptor.isReady || this.syncadaptor.isReady()) && this.numTasksInProgress === 0) {\n\t\t// Choose the next task to perform\n\t\tvar task = this.chooseNextTask();\n\t\t// Perform the task if we had one\n\t\tif(typeof task === \"object\" && task !== null) {\n\t\t\tthis.numTasksInProgress += 1;\n\t\t\ttask.run(function(err) {\n\t\t\t\tself.numTasksInProgress -= 1;\n\t\t\t\tif(err) {\n\t\t\t\t\tself.displayError(\"Sync error while processing \" + task.type + \" of '\" + task.title + \"'\",err);\n\t\t\t\t\tself.updateDirtyStatus();\n\t\t\t\t\tself.triggerTimeout(self.errorRetryInterval);\n\t\t\t\t} else {\n\t\t\t\t\tself.updateDirtyStatus();\n\t\t\t\t\t// Process the next task\n\t\t\t\t\tself.processTaskQueue.call(self);\t\t\t\t\t\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\t// No task is ready so update the status\n\t\t\tthis.updateDirtyStatus();\n\t\t\t// And trigger a timeout if there is a pending task\n\t\t\tif(task === true) {\n\t\t\t\tthis.triggerTimeout();\t\t\t\t\n\t\t\t}\n\t\t}\n\t} else {\n\t\tthis.updateDirtyStatus();\t\t\n\t}\n};\n\nSyncer.prototype.triggerTimeout = function(interval) {\n\tvar self = this;\n\tif(!this.taskTimerId) {\n\t\tthis.taskTimerId = setTimeout(function() {\n\t\t\tself.taskTimerId = null;\n\t\t\tself.processTaskQueue.call(self);\n\t\t},interval || self.taskTimerInterval);\n\t}\n};\n\n/*\nChoose the next sync task. We prioritise saves, then deletes, then loads from the server\n\nReturns either a task object, null if there's no upcoming tasks, or the boolean true if there are pending tasks that aren't yet due\n*/\nSyncer.prototype.chooseNextTask = function() {\n\tvar thresholdLastSaved = (new Date()) - this.throttleInterval,\n\t\thavePending = null;\n\t// First we look for tiddlers that have been modified locally and need saving back to the server\n\tvar titles = this.getSyncedTiddlers();\n\tfor(var index=0; index<titles.length; index++) {\n\t\tvar title = titles[index],\n\t\t\ttiddler = this.wiki.tiddlerExists(title) && this.wiki.getTiddler(title),\n\t\t\ttiddlerInfo = this.tiddlerInfo[title];\n\t\tif(tiddler) {\n\t\t\t// If the tiddler is not known on the server, or has been modified locally no more recently than the threshold then it needs to be saved to the server\n\t\t\tvar hasChanged = !tiddlerInfo || $tw.wiki.getChangeCount(title) > tiddlerInfo.changeCount,\n\t\t\t\tisReadyToSave = !tiddlerInfo || !tiddlerInfo.timestampLastSaved || tiddlerInfo.timestampLastSaved < thresholdLastSaved;\n\t\t\tif(hasChanged) {\n\t\t\t\tif(isReadyToSave) {\n\t\t\t\t\treturn new SaveTiddlerTask(this,title); \t\t\t\t\t\n\t\t\t\t} else {\n\t\t\t\t\thavePending = true;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\t// Second, we check tiddlers that are known from the server but not currently in the store, and so need deleting on the server\n\ttitles = Object.keys(this.tiddlerInfo);\n\tfor(index=0; index<titles.length; index++) {\n\t\ttitle = titles[index];\n\t\ttiddlerInfo = this.tiddlerInfo[title];\n\t\ttiddler = this.wiki.tiddlerExists(title) && this.wiki.getTiddler(title);\n\t\tif(!tiddler) {\n\t\t\treturn new DeleteTiddlerTask(this,title);\n\t\t}\n\t}\n\t// Check for tiddlers that need loading\n\ttitle = Object.keys(this.titlesToBeLoaded)[0];\n\tif(title) {\n\t\tdelete this.titlesToBeLoaded[title];\n\t\treturn new LoadTiddlerTask(this,title);\n\t}\n\t// No tasks are ready\n\treturn havePending;\n};\n\nfunction SaveTiddlerTask(syncer,title) {\n\tthis.syncer = syncer;\n\tthis.title = title;\n\tthis.type = \"save\";\n}\n\nSaveTiddlerTask.prototype.run = function(callback) {\n\tvar self = this,\n\t\tchangeCount = this.syncer.wiki.getChangeCount(this.title),\n\t\ttiddler = this.syncer.wiki.tiddlerExists(this.title) && this.syncer.wiki.getTiddler(this.title);\n\tthis.syncer.logger.log(\"Dispatching 'save' task:\",this.title);\n\tif(tiddler) {\n\t\tthis.syncer.syncadaptor.saveTiddler(tiddler,function(err,adaptorInfo,revision) {\n\t\t\t// If there's an error, exit without changing any internal state\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\t// Adjust the info stored about this tiddler\n\t\t\tself.syncer.tiddlerInfo[self.title] = {\n\t\t\t\tchangeCount: changeCount,\n\t\t\t\tadaptorInfo: adaptorInfo,\n\t\t\t\trevision: revision,\n\t\t\t\ttimestampLastSaved: new Date()\n\t\t\t};\n\t\t\t// Invoke the callback\n\t\t\tcallback(null);\n\t\t});\n\t} else {\n\t\tthis.syncer.logger.log(\" Not Dispatching 'save' task:\",this.title,\"tiddler does not exist\");\n\t\t$tw.utils.nextTick(callback(null));\n\t}\n};\n\nfunction DeleteTiddlerTask(syncer,title) {\n\tthis.syncer = syncer;\n\tthis.title = title;\n\tthis.type = \"delete\";\n}\n\nDeleteTiddlerTask.prototype.run = function(callback) {\n\tvar self = this;\n\tthis.syncer.logger.log(\"Dispatching 'delete' task:\",this.title);\n\tthis.syncer.syncadaptor.deleteTiddler(this.title,function(err) {\n\t\t// If there's an error, exit without changing any internal state\n\t\tif(err) {\n\t\t\treturn callback(err);\n\t\t}\n\t\t// Remove the info stored about this tiddler\n\t\tdelete self.syncer.tiddlerInfo[self.title];\n\t\t// Invoke the callback\n\t\tcallback(null);\n\t},{\n\t\ttiddlerInfo: self.syncer.tiddlerInfo[this.title]\n\t});\n};\n\nfunction LoadTiddlerTask(syncer,title) {\n\tthis.syncer = syncer;\n\tthis.title = title;\n\tthis.type = \"load\";\n}\n\nLoadTiddlerTask.prototype.run = function(callback) {\n\tvar self = this;\n\tthis.syncer.logger.log(\"Dispatching 'load' task:\",this.title);\n\tthis.syncer.syncadaptor.loadTiddler(this.title,function(err,tiddlerFields) {\n\t\t// If there's an error, exit without changing any internal state\n\t\tif(err) {\n\t\t\treturn callback(err);\n\t\t}\n\t\t// Update the info stored about this tiddler\n\t\tif(tiddlerFields) {\n\t\t\tself.syncer.storeTiddler(tiddlerFields);\n\t\t}\n\t\t// Invoke the callback\n\t\tcallback(null);\n\t});\n};\n\nexports.Syncer = Syncer;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/tiddler.js": {
"title": "$:/core/modules/tiddler.js",
"text": "/*\\\ntitle: $:/core/modules/tiddler.js\ntype: application/javascript\nmodule-type: tiddlermethod\n\nExtension methods for the $tw.Tiddler object (constructor and methods required at boot time are in boot/boot.js)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.hasTag = function(tag) {\n\treturn this.fields.tags && this.fields.tags.indexOf(tag) !== -1;\n};\n\nexports.isPlugin = function() {\n\treturn this.fields.type === \"application/json\" && this.hasField(\"plugin-type\");\n};\n\nexports.isDraft = function() {\n\treturn this.hasField(\"draft.of\");\n};\n\nexports.getFieldString = function(field) {\n\tvar value = this.fields[field];\n\t// Check for a missing field\n\tif(value === undefined || value === null) {\n\t\treturn \"\";\n\t}\n\t// Parse the field with the associated module (if any)\n\tvar fieldModule = $tw.Tiddler.fieldModules[field];\n\tif(fieldModule && fieldModule.stringify) {\n\t\treturn fieldModule.stringify.call(this,value);\n\t} else {\n\t\treturn value.toString();\n\t}\n};\n\n/*\nGet the value of a field as a list\n*/\nexports.getFieldList = function(field) {\n\tvar value = this.fields[field];\n\t// Check for a missing field\n\tif(value === undefined || value === null) {\n\t\treturn [];\n\t}\n\treturn $tw.utils.parseStringArray(value);\n};\n\n/*\nGet all the fields as a hashmap of strings. Options:\n\texclude: an array of field names to exclude\n*/\nexports.getFieldStrings = function(options) {\n\toptions = options || {};\n\tvar exclude = options.exclude || [];\n\tvar fields = {};\n\tfor(var field in this.fields) {\n\t\tif($tw.utils.hop(this.fields,field)) {\n\t\t\tif(exclude.indexOf(field) === -1) {\n\t\t\t\tfields[field] = this.getFieldString(field);\n\t\t\t}\n\t\t}\n\t}\n\treturn fields;\n};\n\n/*\nGet all the fields as a name:value block. Options:\n\texclude: an array of field names to exclude\n*/\nexports.getFieldStringBlock = function(options) {\n\toptions = options || {};\n\tvar exclude = options.exclude || [],\n\t\tfields = Object.keys(this.fields).sort(),\n\t\tresult = [];\n\tfor(var t=0; t<fields.length; t++) {\n\t\tvar field = fields[t];\n\t\tif(exclude.indexOf(field) === -1) {\n\t\t\tresult.push(field + \": \" + this.getFieldString(field));\n\t\t}\n\t}\n\treturn result.join(\"\\n\");\n};\n\nexports.getFieldDay = function(field) {\n\tif(this.cache && this.cache.day && $tw.utils.hop(this.cache.day,field) ) {\n\t\treturn this.cache.day[field];\n\t}\n\tvar day = \"\";\n\tif(this.fields[field]) {\n\t\tday = (new Date($tw.utils.parseDate(this.fields[field]))).setHours(0,0,0,0);\n\t}\n\tthis.cache.day = this.cache.day || {};\n\tthis.cache.day[field] = day;\n\treturn day;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "tiddlermethod"
},
"$:/core/modules/upgraders/plugins.js": {
"title": "$:/core/modules/upgraders/plugins.js",
"text": "/*\\\ntitle: $:/core/modules/upgraders/plugins.js\ntype: application/javascript\nmodule-type: upgrader\n\nUpgrader module that checks that plugins are newer than any already installed version\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar UPGRADE_LIBRARY_TITLE = \"$:/UpgradeLibrary\";\n\nvar BLOCKED_PLUGINS = {\n\t\"$:/themes/tiddlywiki/stickytitles\": {\n\t\tversions: [\"*\"]\n\t},\n\t\"$:/plugins/tiddlywiki/fullscreen\": {\n\t\tversions: [\"*\"]\n\t}\n};\n\nexports.upgrade = function(wiki,titles,tiddlers) {\n\tvar self = this,\n\t\tmessages = {},\n\t\tupgradeLibrary,\n\t\tgetLibraryTiddler = function(title) {\n\t\t\tif(!upgradeLibrary) {\n\t\t\t\tupgradeLibrary = wiki.getTiddlerData(UPGRADE_LIBRARY_TITLE,{});\n\t\t\t\tupgradeLibrary.tiddlers = upgradeLibrary.tiddlers || {};\n\t\t\t}\n\t\t\treturn upgradeLibrary.tiddlers[title];\n\t\t};\n\n\t// Go through all the incoming tiddlers\n\t$tw.utils.each(titles,function(title) {\n\t\tvar incomingTiddler = tiddlers[title];\n\t\t// Check if we're dealing with a plugin\n\t\tif(incomingTiddler && incomingTiddler[\"plugin-type\"]) {\n\t\t\t// Check whether the plugin contains JS modules\n\t\t\tvar requiresReload = $tw.wiki.doesPluginInfoRequireReload(JSON.parse(incomingTiddler.text)) ? ($tw.wiki.getTiddlerText(\"$:/language/ControlPanel/Plugins/PluginWillRequireReload\") + \" \") : \"\";\n\t\t\tmessages[title] = requiresReload;\n\t\t\tif(incomingTiddler.version) {\n\t\t\t\t// Upgrade the incoming plugin if it is in the upgrade library\n\t\t\t\tvar libraryTiddler = getLibraryTiddler(title);\n\t\t\t\tif(libraryTiddler && libraryTiddler[\"plugin-type\"] && libraryTiddler.version) {\n\t\t\t\t\ttiddlers[title] = libraryTiddler;\n\t\t\t\t\tmessages[title] = requiresReload + $tw.language.getString(\"Import/Upgrader/Plugins/Upgraded\",{variables: {incoming: incomingTiddler.version, upgraded: libraryTiddler.version}});\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t\t// Suppress the incoming plugin if it is older than the currently installed one\n\t\t\t\tvar existingTiddler = wiki.getTiddler(title);\n\t\t\t\tif(existingTiddler && existingTiddler.hasField(\"plugin-type\") && existingTiddler.hasField(\"version\")) {\n\t\t\t\t\t// Reject the incoming plugin by blanking all its fields\n\t\t\t\t\tif($tw.utils.checkVersions(existingTiddler.fields.version,incomingTiddler.version)) {\n\t\t\t\t\t\ttiddlers[title] = Object.create(null);\n\t\t\t\t\t\tmessages[title] = requiresReload + $tw.language.getString(\"Import/Upgrader/Plugins/Suppressed/Version\",{variables: {incoming: incomingTiddler.version, existing: existingTiddler.fields.version}});\n\t\t\t\t\t\treturn;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Check whether the plugin is on the blocked list\n\t\t\tvar blockInfo = BLOCKED_PLUGINS[title];\n\t\t\tif(blockInfo) {\n\t\t\t\tif(blockInfo.versions.indexOf(\"*\") !== -1 || (incomingTiddler.version && blockInfo.versions.indexOf(incomingTiddler.version) !== -1)) {\n\t\t\t\t\ttiddlers[title] = Object.create(null);\n\t\t\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/Plugins/Suppressed/Incompatible\");\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\treturn messages;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "upgrader"
},
"$:/core/modules/upgraders/system.js": {
"title": "$:/core/modules/upgraders/system.js",
"text": "/*\\\ntitle: $:/core/modules/upgraders/system.js\ntype: application/javascript\nmodule-type: upgrader\n\nUpgrader module that suppresses certain system tiddlers that shouldn't be imported\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar DONT_IMPORT_LIST = [\"$:/StoryList\",\"$:/HistoryList\"],\n\tDONT_IMPORT_PREFIX_LIST = [\"$:/temp/\",\"$:/state/\",\"$:/Import\"],\n\tWARN_IMPORT_PREFIX_LIST = [\"$:/core/modules/\"];\n\nexports.upgrade = function(wiki,titles,tiddlers) {\n\tvar self = this,\n\t\tmessages = {},\n\t\tshowAlert = false;\n\t// Check for tiddlers on our list\n\t$tw.utils.each(titles,function(title) {\n\t\tif(DONT_IMPORT_LIST.indexOf(title) !== -1) {\n\t\t\ttiddlers[title] = Object.create(null);\n\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/System/Suppressed\");\n\t\t} else {\n\t\t\tfor(var t=0; t<DONT_IMPORT_PREFIX_LIST.length; t++) {\n\t\t\t\tvar prefix = DONT_IMPORT_PREFIX_LIST[t];\n\t\t\t\tif(title.substr(0,prefix.length) === prefix) {\n\t\t\t\t\ttiddlers[title] = Object.create(null);\n\t\t\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/State/Suppressed\");\n\t\t\t\t}\n\t\t\t}\n\t\t\tfor(var t=0; t<WARN_IMPORT_PREFIX_LIST.length; t++) {\n\t\t\t\tvar prefix = WARN_IMPORT_PREFIX_LIST[t];\n\t\t\t\tif(title.substr(0,prefix.length) === prefix && wiki.isShadowTiddler(title)) {\n\t\t\t\t\tshowAlert = true;\n\t\t\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/System/Warning\");\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\tif(showAlert) {\n\t\tvar logger = new $tw.utils.Logger(\"import\");\n\t\tlogger.alert($tw.language.getString(\"Import/Upgrader/System/Alert\"));\n\t}\n\treturn messages;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "upgrader"
},
"$:/core/modules/upgraders/themetweaks.js": {
"title": "$:/core/modules/upgraders/themetweaks.js",
"text": "/*\\\ntitle: $:/core/modules/upgraders/themetweaks.js\ntype: application/javascript\nmodule-type: upgrader\n\nUpgrader module that handles the change in theme tweak storage introduced in 5.0.14-beta.\n\nPreviously, theme tweaks were stored in two data tiddlers:\n\n* $:/themes/tiddlywiki/vanilla/metrics\n* $:/themes/tiddlywiki/vanilla/settings\n\nNow, each tweak is stored in its own separate tiddler.\n\nThis upgrader copies any values from the old format to the new. The old data tiddlers are not deleted in case they have been used to store additional indexes.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar MAPPINGS = {\n\t\"$:/themes/tiddlywiki/vanilla/metrics\": {\n\t\t\"fontsize\": \"$:/themes/tiddlywiki/vanilla/metrics/fontsize\",\n\t\t\"lineheight\": \"$:/themes/tiddlywiki/vanilla/metrics/lineheight\",\n\t\t\"storyleft\": \"$:/themes/tiddlywiki/vanilla/metrics/storyleft\",\n\t\t\"storytop\": \"$:/themes/tiddlywiki/vanilla/metrics/storytop\",\n\t\t\"storyright\": \"$:/themes/tiddlywiki/vanilla/metrics/storyright\",\n\t\t\"storywidth\": \"$:/themes/tiddlywiki/vanilla/metrics/storywidth\",\n\t\t\"tiddlerwidth\": \"$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth\"\n\t},\n\t\"$:/themes/tiddlywiki/vanilla/settings\": {\n\t\t\"fontfamily\": \"$:/themes/tiddlywiki/vanilla/settings/fontfamily\"\n\t}\n};\n\nexports.upgrade = function(wiki,titles,tiddlers) {\n\tvar self = this,\n\t\tmessages = {};\n\t// Check for tiddlers on our list\n\t$tw.utils.each(titles,function(title) {\n\t\tvar mapping = MAPPINGS[title];\n\t\tif(mapping) {\n\t\t\tvar tiddler = new $tw.Tiddler(tiddlers[title]),\n\t\t\t\ttiddlerData = wiki.getTiddlerDataCached(tiddler,{});\n\t\t\tfor(var index in mapping) {\n\t\t\t\tvar mappedTitle = mapping[index];\n\t\t\t\tif(!tiddlers[mappedTitle] || tiddlers[mappedTitle].title !== mappedTitle) {\n\t\t\t\t\ttiddlers[mappedTitle] = {\n\t\t\t\t\t\ttitle: mappedTitle,\n\t\t\t\t\t\ttext: tiddlerData[index]\n\t\t\t\t\t};\n\t\t\t\t\tmessages[mappedTitle] = $tw.language.getString(\"Import/Upgrader/ThemeTweaks/Created\",{variables: {\n\t\t\t\t\t\tfrom: title + \"##\" + index\n\t\t\t\t\t}});\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\treturn messages;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "upgrader"
},
"$:/core/modules/utils/base64-utf8/base64-utf8.module.js": {
"text": "(function(){// From https://gist.github.com/Nijikokun/5192472\n//\n// UTF8 Module\n//\n// Cleaner and modularized utf-8 encoding and decoding library for javascript.\n//\n// copyright: MIT\n// author: Nijiko Yonskai, @nijikokun, nijikokun@gmail.com\n!function(r,e,o,t){void 0!==o.module&&o.module.exports?o.module.exports=e.apply(o):void 0!==o.define&&\"function\"===o.define&&o.define.amd?define(\"utf8\",[],e):o.utf8=e.apply(o)}(0,function(){return{encode:function(r){if(\"string\"!=typeof r)return r;r=r.replace(/\\r\\n/g,\"\\n\");for(var e,o=\"\",t=0;t<r.length;t++)(e=r.charCodeAt(t))<128?o+=String.fromCharCode(e):e>127&&e<2048?(o+=String.fromCharCode(e>>6|192),o+=String.fromCharCode(63&e|128)):(o+=String.fromCharCode(e>>12|224),o+=String.fromCharCode(e>>6&63|128),o+=String.fromCharCode(63&e|128));return o},decode:function(r){if(\"string\"!=typeof r)return r;for(var e=\"\",o=0,t=0;o<r.length;)(t=r.charCodeAt(o))<128?(e+=String.fromCharCode(t),o++):t>191&&t<224?(e+=String.fromCharCode((31&t)<<6|63&r.charCodeAt(o+1)),o+=2):(e+=String.fromCharCode((15&t)<<12|(63&r.charCodeAt(o+1))<<6|63&r.charCodeAt(o+2)),o+=3);return e}}},this),function(r,e,o,t){if(void 0!==o.module&&o.module.exports){if(t&&o.require)for(var n=0;n<t.length;n++)o[t[n]]=o.require(t[n]);o.module.exports=e.apply(o)}else void 0!==o.define&&\"function\"===o.define&&o.define.amd?define(\"base64\",t||[],e):o.base64=e.apply(o)}(0,function(r){var e=r||this.utf8,o=\"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/=\";return{encode:function(r){if(void 0===e)throw{error:\"MissingMethod\",message:\"UTF8 Module is missing.\"};if(\"string\"!=typeof r)return r;r=e.encode(r);for(var t,n,i,d,f,a,h,c=\"\",u=0;u<r.length;)d=(t=r.charCodeAt(u++))>>2,f=(3&t)<<4|(n=r.charCodeAt(u++))>>4,a=(15&n)<<2|(i=r.charCodeAt(u++))>>6,h=63&i,isNaN(n)?a=h=64:isNaN(i)&&(h=64),c+=o.charAt(d)+o.charAt(f)+o.charAt(a)+o.charAt(h);return c},decode:function(r){if(void 0===e)throw{error:\"MissingMethod\",message:\"UTF8 Module is missing.\"};if(\"string\"!=typeof r)return r;r=r.replace(/[^A-Za-z0-9\\+\\/\\=]/g,\"\");for(var t,n,i,d,f,a,h=\"\",c=0;c<r.length;)t=o.indexOf(r.charAt(c++))<<2|(d=o.indexOf(r.charAt(c++)))>>4,n=(15&d)<<4|(f=o.indexOf(r.charAt(c++)))>>2,i=(3&f)<<6|(a=o.indexOf(r.charAt(c++))),h+=String.fromCharCode(t),64!=f&&(h+=String.fromCharCode(n)),64!=a&&(h+=String.fromCharCode(i));return e.decode(h)}}},this,[\"utf8\"]);}).call(exports);",
"type": "application/javascript",
"title": "$:/core/modules/utils/base64-utf8/base64-utf8.module.js",
"module-type": "library"
},
"$:/core/modules/utils/crypto.js": {
"title": "$:/core/modules/utils/crypto.js",
"text": "/*\\\ntitle: $:/core/modules/utils/crypto.js\ntype: application/javascript\nmodule-type: utils\n\nUtility functions related to crypto.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nLook for an encrypted store area in the text of a TiddlyWiki file\n*/\nexports.extractEncryptedStoreArea = function(text) {\n\tvar encryptedStoreAreaStartMarker = \"<pre id=\\\"encryptedStoreArea\\\" type=\\\"text/plain\\\" style=\\\"display:none;\\\">\",\n\t\tencryptedStoreAreaStart = text.indexOf(encryptedStoreAreaStartMarker);\n\tif(encryptedStoreAreaStart !== -1) {\n\t\tvar encryptedStoreAreaEnd = text.indexOf(\"</pre>\",encryptedStoreAreaStart);\n\t\tif(encryptedStoreAreaEnd !== -1) {\n\t\t\treturn $tw.utils.htmlDecode(text.substring(encryptedStoreAreaStart + encryptedStoreAreaStartMarker.length,encryptedStoreAreaEnd-1));\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nAttempt to extract the tiddlers from an encrypted store area using the current password. If the password is not provided then the password in the password store will be used\n*/\nexports.decryptStoreArea = function(encryptedStoreArea,password) {\n\tvar decryptedText = $tw.crypto.decrypt(encryptedStoreArea,password);\n\tif(decryptedText) {\n\t\tvar json = JSON.parse(decryptedText),\n\t\t\ttiddlers = [];\n\t\tfor(var title in json) {\n\t\t\tif(title !== \"$:/isEncrypted\") {\n\t\t\t\ttiddlers.push(json[title]);\n\t\t\t}\n\t\t}\n\t\treturn tiddlers;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n\n/*\nAttempt to extract the tiddlers from an encrypted store area using the current password. If that fails, the user is prompted for a password.\nencryptedStoreArea: text of the TiddlyWiki encrypted store area\ncallback: function(tiddlers) called with the array of decrypted tiddlers\n\nThe following configuration settings are supported:\n\n$tw.config.usePasswordVault: causes any password entered by the user to also be put into the system password vault\n*/\nexports.decryptStoreAreaInteractive = function(encryptedStoreArea,callback,options) {\n\t// Try to decrypt with the current password\n\tvar tiddlers = $tw.utils.decryptStoreArea(encryptedStoreArea);\n\tif(tiddlers) {\n\t\tcallback(tiddlers);\n\t} else {\n\t\t// Prompt for a new password and keep trying\n\t\t$tw.passwordPrompt.createPrompt({\n\t\t\tserviceName: \"Enter a password to decrypt the imported TiddlyWiki\",\n\t\t\tnoUserName: true,\n\t\t\tcanCancel: true,\n\t\t\tsubmitText: \"Decrypt\",\n\t\t\tcallback: function(data) {\n\t\t\t\t// Exit if the user cancelled\n\t\t\t\tif(!data) {\n\t\t\t\t\treturn false;\n\t\t\t\t}\n\t\t\t\t// Attempt to decrypt the tiddlers\n\t\t\t\tvar tiddlers = $tw.utils.decryptStoreArea(encryptedStoreArea,data.password);\n\t\t\t\tif(tiddlers) {\n\t\t\t\t\tif($tw.config.usePasswordVault) {\n\t\t\t\t\t\t$tw.crypto.setPassword(data.password);\n\t\t\t\t\t}\n\t\t\t\t\tcallback(tiddlers);\n\t\t\t\t\t// Exit and remove the password prompt\n\t\t\t\t\treturn true;\n\t\t\t\t} else {\n\t\t\t\t\t// We didn't decrypt everything, so continue to prompt for password\n\t\t\t\t\treturn false;\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/csv.js": {
"title": "$:/core/modules/utils/csv.js",
"text": "/*\\\ntitle: $:/core/modules/utils/csv.js\ntype: application/javascript\nmodule-type: utils\n\nA barebones CSV parser\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nParse a CSV string with a header row and return an array of hashmaps.\n*/\nexports.parseCsvStringWithHeader = function(text,options) {\n\toptions = options || {};\n\tvar separator = options.separator || \",\",\n\t\trows = text.split(/\\r?\\n/mg).map(function(row) {\n\t\t\treturn $tw.utils.trim(row);\n\t\t}).filter(function(row) {\n\t\t\treturn row !== \"\";\n\t\t});\n\tif(rows.length < 1) {\n\t\treturn \"Missing header row\";\n\t}\n\tvar headings = rows[0].split(separator),\n\t\tresults = [];\n\tfor(var row=1; row<rows.length; row++) {\n\t\tvar columns = rows[row].split(separator),\n\t\t\tcolumnResult = Object.create(null);\n\t\tif(columns.length !== headings.length) {\n\t\t\treturn \"Malformed CSV row '\" + rows[row] + \"'\";\n\t\t}\n\t\tfor(var column=0; column<columns.length; column++) {\n\t\t\tvar columnName = headings[column];\n\t\t\tcolumnResult[columnName] = $tw.utils.trim(columns[column] || \"\");\n\t\t}\n\t\tresults.push(columnResult);\t\t\t\n\t}\n\treturn results;\n}\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/diff-match-patch/diff_match_patch.js": {
"text": "(function(){function diff_match_patch(){this.Diff_Timeout=1;this.Diff_EditCost=4;this.Match_Threshold=.5;this.Match_Distance=1E3;this.Patch_DeleteThreshold=.5;this.Patch_Margin=4;this.Match_MaxBits=32}var DIFF_DELETE=-1,DIFF_INSERT=1,DIFF_EQUAL=0;\ndiff_match_patch.prototype.diff_main=function(a,b,c,d){\"undefined\"==typeof d&&(d=0>=this.Diff_Timeout?Number.MAX_VALUE:(new Date).getTime()+1E3*this.Diff_Timeout);if(null==a||null==b)throw Error(\"Null input. (diff_main)\");if(a==b)return a?[[DIFF_EQUAL,a]]:[];\"undefined\"==typeof c&&(c=!0);var e=c,f=this.diff_commonPrefix(a,b);c=a.substring(0,f);a=a.substring(f);b=b.substring(f);f=this.diff_commonSuffix(a,b);var g=a.substring(a.length-f);a=a.substring(0,a.length-f);b=b.substring(0,b.length-f);a=this.diff_compute_(a,\nb,e,d);c&&a.unshift([DIFF_EQUAL,c]);g&&a.push([DIFF_EQUAL,g]);this.diff_cleanupMerge(a);return a};\ndiff_match_patch.prototype.diff_compute_=function(a,b,c,d){if(!a)return[[DIFF_INSERT,b]];if(!b)return[[DIFF_DELETE,a]];var e=a.length>b.length?a:b,f=a.length>b.length?b:a,g=e.indexOf(f);return-1!=g?(c=[[DIFF_INSERT,e.substring(0,g)],[DIFF_EQUAL,f],[DIFF_INSERT,e.substring(g+f.length)]],a.length>b.length&&(c[0][0]=c[2][0]=DIFF_DELETE),c):1==f.length?[[DIFF_DELETE,a],[DIFF_INSERT,b]]:(e=this.diff_halfMatch_(a,b))?(b=e[1],f=e[3],a=e[4],e=this.diff_main(e[0],e[2],c,d),c=this.diff_main(b,f,c,d),e.concat([[DIFF_EQUAL,\na]],c)):c&&100<a.length&&100<b.length?this.diff_lineMode_(a,b,d):this.diff_bisect_(a,b,d)};\ndiff_match_patch.prototype.diff_lineMode_=function(a,b,c){var d=this.diff_linesToChars_(a,b);a=d.chars1;b=d.chars2;d=d.lineArray;a=this.diff_main(a,b,!1,c);this.diff_charsToLines_(a,d);this.diff_cleanupSemantic(a);a.push([DIFF_EQUAL,\"\"]);for(var e=d=b=0,f=\"\",g=\"\";b<a.length;){switch(a[b][0]){case DIFF_INSERT:e++;g+=a[b][1];break;case DIFF_DELETE:d++;f+=a[b][1];break;case DIFF_EQUAL:if(1<=d&&1<=e){a.splice(b-d-e,d+e);b=b-d-e;d=this.diff_main(f,g,!1,c);for(e=d.length-1;0<=e;e--)a.splice(b,0,d[e]);b+=\nd.length}d=e=0;g=f=\"\"}b++}a.pop();return a};\ndiff_match_patch.prototype.diff_bisect_=function(a,b,c){for(var d=a.length,e=b.length,f=Math.ceil((d+e)/2),g=2*f,h=Array(g),l=Array(g),k=0;k<g;k++)h[k]=-1,l[k]=-1;h[f+1]=0;l[f+1]=0;k=d-e;for(var m=0!=k%2,p=0,x=0,w=0,q=0,t=0;t<f&&!((new Date).getTime()>c);t++){for(var v=-t+p;v<=t-x;v+=2){var n=f+v;var r=v==-t||v!=t&&h[n-1]<h[n+1]?h[n+1]:h[n-1]+1;for(var y=r-v;r<d&&y<e&&a.charAt(r)==b.charAt(y);)r++,y++;h[n]=r;if(r>d)x+=2;else if(y>e)p+=2;else if(m&&(n=f+k-v,0<=n&&n<g&&-1!=l[n])){var u=d-l[n];if(r>=\nu)return this.diff_bisectSplit_(a,b,r,y,c)}}for(v=-t+w;v<=t-q;v+=2){n=f+v;u=v==-t||v!=t&&l[n-1]<l[n+1]?l[n+1]:l[n-1]+1;for(r=u-v;u<d&&r<e&&a.charAt(d-u-1)==b.charAt(e-r-1);)u++,r++;l[n]=u;if(u>d)q+=2;else if(r>e)w+=2;else if(!m&&(n=f+k-v,0<=n&&n<g&&-1!=h[n]&&(r=h[n],y=f+r-n,u=d-u,r>=u)))return this.diff_bisectSplit_(a,b,r,y,c)}}return[[DIFF_DELETE,a],[DIFF_INSERT,b]]};\ndiff_match_patch.prototype.diff_bisectSplit_=function(a,b,c,d,e){var f=a.substring(0,c),g=b.substring(0,d);a=a.substring(c);b=b.substring(d);f=this.diff_main(f,g,!1,e);e=this.diff_main(a,b,!1,e);return f.concat(e)};\ndiff_match_patch.prototype.diff_linesToChars_=function(a,b){function c(a){for(var b=\"\",c=0,f=-1,g=d.length;f<a.length-1;){f=a.indexOf(\"\\n\",c);-1==f&&(f=a.length-1);var h=a.substring(c,f+1);c=f+1;(e.hasOwnProperty?e.hasOwnProperty(h):void 0!==e[h])?b+=String.fromCharCode(e[h]):(b+=String.fromCharCode(g),e[h]=g,d[g++]=h)}return b}var d=[],e={};d[0]=\"\";var f=c(a),g=c(b);return{chars1:f,chars2:g,lineArray:d}};\ndiff_match_patch.prototype.diff_charsToLines_=function(a,b){for(var c=0;c<a.length;c++){for(var d=a[c][1],e=[],f=0;f<d.length;f++)e[f]=b[d.charCodeAt(f)];a[c][1]=e.join(\"\")}};diff_match_patch.prototype.diff_commonPrefix=function(a,b){if(!a||!b||a.charAt(0)!=b.charAt(0))return 0;for(var c=0,d=Math.min(a.length,b.length),e=d,f=0;c<e;)a.substring(f,e)==b.substring(f,e)?f=c=e:d=e,e=Math.floor((d-c)/2+c);return e};\ndiff_match_patch.prototype.diff_commonSuffix=function(a,b){if(!a||!b||a.charAt(a.length-1)!=b.charAt(b.length-1))return 0;for(var c=0,d=Math.min(a.length,b.length),e=d,f=0;c<e;)a.substring(a.length-e,a.length-f)==b.substring(b.length-e,b.length-f)?f=c=e:d=e,e=Math.floor((d-c)/2+c);return e};\ndiff_match_patch.prototype.diff_commonOverlap_=function(a,b){var c=a.length,d=b.length;if(0==c||0==d)return 0;c>d?a=a.substring(c-d):c<d&&(b=b.substring(0,c));c=Math.min(c,d);if(a==b)return c;d=0;for(var e=1;;){var f=a.substring(c-e);f=b.indexOf(f);if(-1==f)return d;e+=f;if(0==f||a.substring(c-e)==b.substring(0,e))d=e,e++}};\ndiff_match_patch.prototype.diff_halfMatch_=function(a,b){function c(a,b,c){for(var d=a.substring(c,c+Math.floor(a.length/4)),e=-1,g=\"\",h,k,l,m;-1!=(e=b.indexOf(d,e+1));){var p=f.diff_commonPrefix(a.substring(c),b.substring(e)),u=f.diff_commonSuffix(a.substring(0,c),b.substring(0,e));g.length<u+p&&(g=b.substring(e-u,e)+b.substring(e,e+p),h=a.substring(0,c-u),k=a.substring(c+p),l=b.substring(0,e-u),m=b.substring(e+p))}return 2*g.length>=a.length?[h,k,l,m,g]:null}if(0>=this.Diff_Timeout)return null;\nvar d=a.length>b.length?a:b,e=a.length>b.length?b:a;if(4>d.length||2*e.length<d.length)return null;var f=this,g=c(d,e,Math.ceil(d.length/4));d=c(d,e,Math.ceil(d.length/2));if(g||d)g=d?g?g[4].length>d[4].length?g:d:d:g;else return null;if(a.length>b.length){d=g[0];e=g[1];var h=g[2];var l=g[3]}else h=g[0],l=g[1],d=g[2],e=g[3];return[d,e,h,l,g[4]]};\ndiff_match_patch.prototype.diff_cleanupSemantic=function(a){for(var b=!1,c=[],d=0,e=null,f=0,g=0,h=0,l=0,k=0;f<a.length;)a[f][0]==DIFF_EQUAL?(c[d++]=f,g=l,h=k,k=l=0,e=a[f][1]):(a[f][0]==DIFF_INSERT?l+=a[f][1].length:k+=a[f][1].length,e&&e.length<=Math.max(g,h)&&e.length<=Math.max(l,k)&&(a.splice(c[d-1],0,[DIFF_DELETE,e]),a[c[d-1]+1][0]=DIFF_INSERT,d--,d--,f=0<d?c[d-1]:-1,k=l=h=g=0,e=null,b=!0)),f++;b&&this.diff_cleanupMerge(a);this.diff_cleanupSemanticLossless(a);for(f=1;f<a.length;){if(a[f-1][0]==\nDIFF_DELETE&&a[f][0]==DIFF_INSERT){b=a[f-1][1];c=a[f][1];d=this.diff_commonOverlap_(b,c);e=this.diff_commonOverlap_(c,b);if(d>=e){if(d>=b.length/2||d>=c.length/2)a.splice(f,0,[DIFF_EQUAL,c.substring(0,d)]),a[f-1][1]=b.substring(0,b.length-d),a[f+1][1]=c.substring(d),f++}else if(e>=b.length/2||e>=c.length/2)a.splice(f,0,[DIFF_EQUAL,b.substring(0,e)]),a[f-1][0]=DIFF_INSERT,a[f-1][1]=c.substring(0,c.length-e),a[f+1][0]=DIFF_DELETE,a[f+1][1]=b.substring(e),f++;f++}f++}};\ndiff_match_patch.prototype.diff_cleanupSemanticLossless=function(a){function b(a,b){if(!a||!b)return 6;var c=a.charAt(a.length-1),d=b.charAt(0),e=c.match(diff_match_patch.nonAlphaNumericRegex_),f=d.match(diff_match_patch.nonAlphaNumericRegex_),g=e&&c.match(diff_match_patch.whitespaceRegex_),h=f&&d.match(diff_match_patch.whitespaceRegex_);c=g&&c.match(diff_match_patch.linebreakRegex_);d=h&&d.match(diff_match_patch.linebreakRegex_);var k=c&&a.match(diff_match_patch.blanklineEndRegex_),l=d&&b.match(diff_match_patch.blanklineStartRegex_);\nreturn k||l?5:c||d?4:e&&!g&&h?3:g||h?2:e||f?1:0}for(var c=1;c<a.length-1;){if(a[c-1][0]==DIFF_EQUAL&&a[c+1][0]==DIFF_EQUAL){var d=a[c-1][1],e=a[c][1],f=a[c+1][1],g=this.diff_commonSuffix(d,e);if(g){var h=e.substring(e.length-g);d=d.substring(0,d.length-g);e=h+e.substring(0,e.length-g);f=h+f}g=d;h=e;for(var l=f,k=b(d,e)+b(e,f);e.charAt(0)===f.charAt(0);){d+=e.charAt(0);e=e.substring(1)+f.charAt(0);f=f.substring(1);var m=b(d,e)+b(e,f);m>=k&&(k=m,g=d,h=e,l=f)}a[c-1][1]!=g&&(g?a[c-1][1]=g:(a.splice(c-\n1,1),c--),a[c][1]=h,l?a[c+1][1]=l:(a.splice(c+1,1),c--))}c++}};diff_match_patch.nonAlphaNumericRegex_=/[^a-zA-Z0-9]/;diff_match_patch.whitespaceRegex_=/\\s/;diff_match_patch.linebreakRegex_=/[\\r\\n]/;diff_match_patch.blanklineEndRegex_=/\\n\\r?\\n$/;diff_match_patch.blanklineStartRegex_=/^\\r?\\n\\r?\\n/;\ndiff_match_patch.prototype.diff_cleanupEfficiency=function(a){for(var b=!1,c=[],d=0,e=null,f=0,g=!1,h=!1,l=!1,k=!1;f<a.length;)a[f][0]==DIFF_EQUAL?(a[f][1].length<this.Diff_EditCost&&(l||k)?(c[d++]=f,g=l,h=k,e=a[f][1]):(d=0,e=null),l=k=!1):(a[f][0]==DIFF_DELETE?k=!0:l=!0,e&&(g&&h&&l&&k||e.length<this.Diff_EditCost/2&&3==g+h+l+k)&&(a.splice(c[d-1],0,[DIFF_DELETE,e]),a[c[d-1]+1][0]=DIFF_INSERT,d--,e=null,g&&h?(l=k=!0,d=0):(d--,f=0<d?c[d-1]:-1,l=k=!1),b=!0)),f++;b&&this.diff_cleanupMerge(a)};\ndiff_match_patch.prototype.diff_cleanupMerge=function(a){a.push([DIFF_EQUAL,\"\"]);for(var b=0,c=0,d=0,e=\"\",f=\"\",g;b<a.length;)switch(a[b][0]){case DIFF_INSERT:d++;f+=a[b][1];b++;break;case DIFF_DELETE:c++;e+=a[b][1];b++;break;case DIFF_EQUAL:1<c+d?(0!==c&&0!==d&&(g=this.diff_commonPrefix(f,e),0!==g&&(0<b-c-d&&a[b-c-d-1][0]==DIFF_EQUAL?a[b-c-d-1][1]+=f.substring(0,g):(a.splice(0,0,[DIFF_EQUAL,f.substring(0,g)]),b++),f=f.substring(g),e=e.substring(g)),g=this.diff_commonSuffix(f,e),0!==g&&(a[b][1]=f.substring(f.length-\ng)+a[b][1],f=f.substring(0,f.length-g),e=e.substring(0,e.length-g))),0===c?a.splice(b-d,c+d,[DIFF_INSERT,f]):0===d?a.splice(b-c,c+d,[DIFF_DELETE,e]):a.splice(b-c-d,c+d,[DIFF_DELETE,e],[DIFF_INSERT,f]),b=b-c-d+(c?1:0)+(d?1:0)+1):0!==b&&a[b-1][0]==DIFF_EQUAL?(a[b-1][1]+=a[b][1],a.splice(b,1)):b++,c=d=0,f=e=\"\"}\"\"===a[a.length-1][1]&&a.pop();c=!1;for(b=1;b<a.length-1;)a[b-1][0]==DIFF_EQUAL&&a[b+1][0]==DIFF_EQUAL&&(a[b][1].substring(a[b][1].length-a[b-1][1].length)==a[b-1][1]?(a[b][1]=a[b-1][1]+a[b][1].substring(0,\na[b][1].length-a[b-1][1].length),a[b+1][1]=a[b-1][1]+a[b+1][1],a.splice(b-1,1),c=!0):a[b][1].substring(0,a[b+1][1].length)==a[b+1][1]&&(a[b-1][1]+=a[b+1][1],a[b][1]=a[b][1].substring(a[b+1][1].length)+a[b+1][1],a.splice(b+1,1),c=!0)),b++;c&&this.diff_cleanupMerge(a)};\ndiff_match_patch.prototype.diff_xIndex=function(a,b){var c=0,d=0,e=0,f=0,g;for(g=0;g<a.length;g++){a[g][0]!==DIFF_INSERT&&(c+=a[g][1].length);a[g][0]!==DIFF_DELETE&&(d+=a[g][1].length);if(c>b)break;e=c;f=d}return a.length!=g&&a[g][0]===DIFF_DELETE?f:f+(b-e)};\ndiff_match_patch.prototype.diff_prettyHtml=function(a){for(var b=[],c=/&/g,d=/</g,e=/>/g,f=/\\n/g,g=0;g<a.length;g++){var h=a[g][0],l=a[g][1].replace(c,\"&\").replace(d,\"<\").replace(e,\">\").replace(f,\"¶<br>\");switch(h){case DIFF_INSERT:b[g]='<ins style=\"background:#e6ffe6;\">'+l+\"</ins>\";break;case DIFF_DELETE:b[g]='<del style=\"background:#ffe6e6;\">'+l+\"</del>\";break;case DIFF_EQUAL:b[g]=\"<span>\"+l+\"</span>\"}}return b.join(\"\")};\ndiff_match_patch.prototype.diff_text1=function(a){for(var b=[],c=0;c<a.length;c++)a[c][0]!==DIFF_INSERT&&(b[c]=a[c][1]);return b.join(\"\")};diff_match_patch.prototype.diff_text2=function(a){for(var b=[],c=0;c<a.length;c++)a[c][0]!==DIFF_DELETE&&(b[c]=a[c][1]);return b.join(\"\")};\ndiff_match_patch.prototype.diff_levenshtein=function(a){for(var b=0,c=0,d=0,e=0;e<a.length;e++){var f=a[e][1];switch(a[e][0]){case DIFF_INSERT:c+=f.length;break;case DIFF_DELETE:d+=f.length;break;case DIFF_EQUAL:b+=Math.max(c,d),d=c=0}}return b+=Math.max(c,d)};\ndiff_match_patch.prototype.diff_toDelta=function(a){for(var b=[],c=0;c<a.length;c++)switch(a[c][0]){case DIFF_INSERT:b[c]=\"+\"+encodeURI(a[c][1]);break;case DIFF_DELETE:b[c]=\"-\"+a[c][1].length;break;case DIFF_EQUAL:b[c]=\"=\"+a[c][1].length}return b.join(\"\\t\").replace(/%20/g,\" \")};\ndiff_match_patch.prototype.diff_fromDelta=function(a,b){for(var c=[],d=0,e=0,f=b.split(/\\t/g),g=0;g<f.length;g++){var h=f[g].substring(1);switch(f[g].charAt(0)){case \"+\":try{c[d++]=[DIFF_INSERT,decodeURI(h)]}catch(k){throw Error(\"Illegal escape in diff_fromDelta: \"+h);}break;case \"-\":case \"=\":var l=parseInt(h,10);if(isNaN(l)||0>l)throw Error(\"Invalid number in diff_fromDelta: \"+h);h=a.substring(e,e+=l);\"=\"==f[g].charAt(0)?c[d++]=[DIFF_EQUAL,h]:c[d++]=[DIFF_DELETE,h];break;default:if(f[g])throw Error(\"Invalid diff operation in diff_fromDelta: \"+\nf[g]);}}if(e!=a.length)throw Error(\"Delta length (\"+e+\") does not equal source text length (\"+a.length+\").\");return c};diff_match_patch.prototype.match_main=function(a,b,c){if(null==a||null==b||null==c)throw Error(\"Null input. (match_main)\");c=Math.max(0,Math.min(c,a.length));return a==b?0:a.length?a.substring(c,c+b.length)==b?c:this.match_bitap_(a,b,c):-1};\ndiff_match_patch.prototype.match_bitap_=function(a,b,c){function d(a,d){var e=a/b.length,g=Math.abs(c-d);return f.Match_Distance?e+g/f.Match_Distance:g?1:e}if(b.length>this.Match_MaxBits)throw Error(\"Pattern too long for this browser.\");var e=this.match_alphabet_(b),f=this,g=this.Match_Threshold,h=a.indexOf(b,c);-1!=h&&(g=Math.min(d(0,h),g),h=a.lastIndexOf(b,c+b.length),-1!=h&&(g=Math.min(d(0,h),g)));var l=1<<b.length-1;h=-1;for(var k,m,p=b.length+a.length,x,w=0;w<b.length;w++){k=0;for(m=p;k<m;)d(w,\nc+m)<=g?k=m:p=m,m=Math.floor((p-k)/2+k);p=m;k=Math.max(1,c-m+1);var q=Math.min(c+m,a.length)+b.length;m=Array(q+2);for(m[q+1]=(1<<w)-1;q>=k;q--){var t=e[a.charAt(q-1)];m[q]=0===w?(m[q+1]<<1|1)&t:(m[q+1]<<1|1)&t|(x[q+1]|x[q])<<1|1|x[q+1];if(m[q]&l&&(t=d(w,q-1),t<=g))if(g=t,h=q-1,h>c)k=Math.max(1,2*c-h);else break}if(d(w+1,c)>g)break;x=m}return h};\ndiff_match_patch.prototype.match_alphabet_=function(a){for(var b={},c=0;c<a.length;c++)b[a.charAt(c)]=0;for(c=0;c<a.length;c++)b[a.charAt(c)]|=1<<a.length-c-1;return b};\ndiff_match_patch.prototype.patch_addContext_=function(a,b){if(0!=b.length){for(var c=b.substring(a.start2,a.start2+a.length1),d=0;b.indexOf(c)!=b.lastIndexOf(c)&&c.length<this.Match_MaxBits-this.Patch_Margin-this.Patch_Margin;)d+=this.Patch_Margin,c=b.substring(a.start2-d,a.start2+a.length1+d);d+=this.Patch_Margin;(c=b.substring(a.start2-d,a.start2))&&a.diffs.unshift([DIFF_EQUAL,c]);(d=b.substring(a.start2+a.length1,a.start2+a.length1+d))&&a.diffs.push([DIFF_EQUAL,d]);a.start1-=c.length;a.start2-=\nc.length;a.length1+=c.length+d.length;a.length2+=c.length+d.length}};\ndiff_match_patch.prototype.patch_make=function(a,b,c){if(\"string\"==typeof a&&\"string\"==typeof b&&\"undefined\"==typeof c){var d=a;b=this.diff_main(d,b,!0);2<b.length&&(this.diff_cleanupSemantic(b),this.diff_cleanupEfficiency(b))}else if(a&&\"object\"==typeof a&&\"undefined\"==typeof b&&\"undefined\"==typeof c)b=a,d=this.diff_text1(b);else if(\"string\"==typeof a&&b&&\"object\"==typeof b&&\"undefined\"==typeof c)d=a;else if(\"string\"==typeof a&&\"string\"==typeof b&&c&&\"object\"==typeof c)d=a,b=c;else throw Error(\"Unknown call format to patch_make.\");\nif(0===b.length)return[];c=[];a=new diff_match_patch.patch_obj;for(var e=0,f=0,g=0,h=d,l=0;l<b.length;l++){var k=b[l][0],m=b[l][1];e||k===DIFF_EQUAL||(a.start1=f,a.start2=g);switch(k){case DIFF_INSERT:a.diffs[e++]=b[l];a.length2+=m.length;d=d.substring(0,g)+m+d.substring(g);break;case DIFF_DELETE:a.length1+=m.length;a.diffs[e++]=b[l];d=d.substring(0,g)+d.substring(g+m.length);break;case DIFF_EQUAL:m.length<=2*this.Patch_Margin&&e&&b.length!=l+1?(a.diffs[e++]=b[l],a.length1+=m.length,a.length2+=m.length):\nm.length>=2*this.Patch_Margin&&e&&(this.patch_addContext_(a,h),c.push(a),a=new diff_match_patch.patch_obj,e=0,h=d,f=g)}k!==DIFF_INSERT&&(f+=m.length);k!==DIFF_DELETE&&(g+=m.length)}e&&(this.patch_addContext_(a,h),c.push(a));return c};\ndiff_match_patch.prototype.patch_deepCopy=function(a){for(var b=[],c=0;c<a.length;c++){var d=a[c],e=new diff_match_patch.patch_obj;e.diffs=[];for(var f=0;f<d.diffs.length;f++)e.diffs[f]=d.diffs[f].slice();e.start1=d.start1;e.start2=d.start2;e.length1=d.length1;e.length2=d.length2;b[c]=e}return b};\ndiff_match_patch.prototype.patch_apply=function(a,b){if(0==a.length)return[b,[]];a=this.patch_deepCopy(a);var c=this.patch_addPadding(a);b=c+b+c;this.patch_splitMax(a);for(var d=0,e=[],f=0;f<a.length;f++){var g=a[f].start2+d,h=this.diff_text1(a[f].diffs),l=-1;if(h.length>this.Match_MaxBits){var k=this.match_main(b,h.substring(0,this.Match_MaxBits),g);-1!=k&&(l=this.match_main(b,h.substring(h.length-this.Match_MaxBits),g+h.length-this.Match_MaxBits),-1==l||k>=l)&&(k=-1)}else k=this.match_main(b,h,\ng);if(-1==k)e[f]=!1,d-=a[f].length2-a[f].length1;else if(e[f]=!0,d=k-g,g=-1==l?b.substring(k,k+h.length):b.substring(k,l+this.Match_MaxBits),h==g)b=b.substring(0,k)+this.diff_text2(a[f].diffs)+b.substring(k+h.length);else if(g=this.diff_main(h,g,!1),h.length>this.Match_MaxBits&&this.diff_levenshtein(g)/h.length>this.Patch_DeleteThreshold)e[f]=!1;else{this.diff_cleanupSemanticLossless(g);h=0;var m;for(l=0;l<a[f].diffs.length;l++){var p=a[f].diffs[l];p[0]!==DIFF_EQUAL&&(m=this.diff_xIndex(g,h));p[0]===\nDIFF_INSERT?b=b.substring(0,k+m)+p[1]+b.substring(k+m):p[0]===DIFF_DELETE&&(b=b.substring(0,k+m)+b.substring(k+this.diff_xIndex(g,h+p[1].length)));p[0]!==DIFF_DELETE&&(h+=p[1].length)}}}b=b.substring(c.length,b.length-c.length);return[b,e]};\ndiff_match_patch.prototype.patch_addPadding=function(a){for(var b=this.Patch_Margin,c=\"\",d=1;d<=b;d++)c+=String.fromCharCode(d);for(d=0;d<a.length;d++)a[d].start1+=b,a[d].start2+=b;d=a[0];var e=d.diffs;if(0==e.length||e[0][0]!=DIFF_EQUAL)e.unshift([DIFF_EQUAL,c]),d.start1-=b,d.start2-=b,d.length1+=b,d.length2+=b;else if(b>e[0][1].length){var f=b-e[0][1].length;e[0][1]=c.substring(e[0][1].length)+e[0][1];d.start1-=f;d.start2-=f;d.length1+=f;d.length2+=f}d=a[a.length-1];e=d.diffs;0==e.length||e[e.length-\n1][0]!=DIFF_EQUAL?(e.push([DIFF_EQUAL,c]),d.length1+=b,d.length2+=b):b>e[e.length-1][1].length&&(f=b-e[e.length-1][1].length,e[e.length-1][1]+=c.substring(0,f),d.length1+=f,d.length2+=f);return c};\ndiff_match_patch.prototype.patch_splitMax=function(a){for(var b=this.Match_MaxBits,c=0;c<a.length;c++)if(!(a[c].length1<=b)){var d=a[c];a.splice(c--,1);for(var e=d.start1,f=d.start2,g=\"\";0!==d.diffs.length;){var h=new diff_match_patch.patch_obj,l=!0;h.start1=e-g.length;h.start2=f-g.length;\"\"!==g&&(h.length1=h.length2=g.length,h.diffs.push([DIFF_EQUAL,g]));for(;0!==d.diffs.length&&h.length1<b-this.Patch_Margin;){g=d.diffs[0][0];var k=d.diffs[0][1];g===DIFF_INSERT?(h.length2+=k.length,f+=k.length,h.diffs.push(d.diffs.shift()),\nl=!1):g===DIFF_DELETE&&1==h.diffs.length&&h.diffs[0][0]==DIFF_EQUAL&&k.length>2*b?(h.length1+=k.length,e+=k.length,l=!1,h.diffs.push([g,k]),d.diffs.shift()):(k=k.substring(0,b-h.length1-this.Patch_Margin),h.length1+=k.length,e+=k.length,g===DIFF_EQUAL?(h.length2+=k.length,f+=k.length):l=!1,h.diffs.push([g,k]),k==d.diffs[0][1]?d.diffs.shift():d.diffs[0][1]=d.diffs[0][1].substring(k.length))}g=this.diff_text2(h.diffs);g=g.substring(g.length-this.Patch_Margin);k=this.diff_text1(d.diffs).substring(0,\nthis.Patch_Margin);\"\"!==k&&(h.length1+=k.length,h.length2+=k.length,0!==h.diffs.length&&h.diffs[h.diffs.length-1][0]===DIFF_EQUAL?h.diffs[h.diffs.length-1][1]+=k:h.diffs.push([DIFF_EQUAL,k]));l||a.splice(++c,0,h)}}};diff_match_patch.prototype.patch_toText=function(a){for(var b=[],c=0;c<a.length;c++)b[c]=a[c];return b.join(\"\")};\ndiff_match_patch.prototype.patch_fromText=function(a){var b=[];if(!a)return b;a=a.split(\"\\n\");for(var c=0,d=/^@@ -(\\d+),?(\\d*) \\+(\\d+),?(\\d*) @@$/;c<a.length;){var e=a[c].match(d);if(!e)throw Error(\"Invalid patch string: \"+a[c]);var f=new diff_match_patch.patch_obj;b.push(f);f.start1=parseInt(e[1],10);\"\"===e[2]?(f.start1--,f.length1=1):\"0\"==e[2]?f.length1=0:(f.start1--,f.length1=parseInt(e[2],10));f.start2=parseInt(e[3],10);\"\"===e[4]?(f.start2--,f.length2=1):\"0\"==e[4]?f.length2=0:(f.start2--,f.length2=\nparseInt(e[4],10));for(c++;c<a.length;){e=a[c].charAt(0);try{var g=decodeURI(a[c].substring(1))}catch(h){throw Error(\"Illegal escape in patch_fromText: \"+g);}if(\"-\"==e)f.diffs.push([DIFF_DELETE,g]);else if(\"+\"==e)f.diffs.push([DIFF_INSERT,g]);else if(\" \"==e)f.diffs.push([DIFF_EQUAL,g]);else if(\"@\"==e)break;else if(\"\"!==e)throw Error('Invalid patch mode \"'+e+'\" in: '+g);c++}}return b};diff_match_patch.patch_obj=function(){this.diffs=[];this.start2=this.start1=null;this.length2=this.length1=0};\ndiff_match_patch.patch_obj.prototype.toString=function(){for(var a=[\"@@ -\"+(0===this.length1?this.start1+\",0\":1==this.length1?this.start1+1:this.start1+1+\",\"+this.length1)+\" +\"+(0===this.length2?this.start2+\",0\":1==this.length2?this.start2+1:this.start2+1+\",\"+this.length2)+\" @@\\n\"],b,c=0;c<this.diffs.length;c++){switch(this.diffs[c][0]){case DIFF_INSERT:b=\"+\";break;case DIFF_DELETE:b=\"-\";break;case DIFF_EQUAL:b=\" \"}a[c+1]=b+encodeURI(this.diffs[c][1])+\"\\n\"}return a.join(\"\").replace(/%20/g,\" \")};\nthis.diff_match_patch=diff_match_patch;this.DIFF_DELETE=DIFF_DELETE;this.DIFF_INSERT=DIFF_INSERT;this.DIFF_EQUAL=DIFF_EQUAL;\n}).call(exports);",
"type": "application/javascript",
"title": "$:/core/modules/utils/diff-match-patch/diff_match_patch.js",
"module-type": "library"
},
"$:/core/modules/utils/dom/animations/slide.js": {
"title": "$:/core/modules/utils/dom/animations/slide.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/animations/slide.js\ntype: application/javascript\nmodule-type: animation\n\nA simple slide animation that varies the height of the element\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nfunction slideOpen(domNode,options) {\n\toptions = options || {};\n\tvar duration = options.duration || $tw.utils.getAnimationDuration();\n\t// Get the current height of the domNode\n\tvar computedStyle = window.getComputedStyle(domNode),\n\t\tcurrMarginBottom = parseInt(computedStyle.marginBottom,10),\n\t\tcurrMarginTop = parseInt(computedStyle.marginTop,10),\n\t\tcurrPaddingBottom = parseInt(computedStyle.paddingBottom,10),\n\t\tcurrPaddingTop = parseInt(computedStyle.paddingTop,10),\n\t\tcurrHeight = domNode.offsetHeight;\n\t// Reset the margin once the transition is over\n\tsetTimeout(function() {\n\t\t$tw.utils.setStyle(domNode,[\n\t\t\t{transition: \"none\"},\n\t\t\t{marginBottom: \"\"},\n\t\t\t{marginTop: \"\"},\n\t\t\t{paddingBottom: \"\"},\n\t\t\t{paddingTop: \"\"},\n\t\t\t{height: \"auto\"},\n\t\t\t{opacity: \"\"}\n\t\t]);\n\t\tif(options.callback) {\n\t\t\toptions.callback();\n\t\t}\n\t},duration);\n\t// Set up the initial position of the element\n\t$tw.utils.setStyle(domNode,[\n\t\t{transition: \"none\"},\n\t\t{marginTop: \"0px\"},\n\t\t{marginBottom: \"0px\"},\n\t\t{paddingTop: \"0px\"},\n\t\t{paddingBottom: \"0px\"},\n\t\t{height: \"0px\"},\n\t\t{opacity: \"0\"}\n\t]);\n\t$tw.utils.forceLayout(domNode);\n\t// Transition to the final position\n\t$tw.utils.setStyle(domNode,[\n\t\t{transition: \"margin-top \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"margin-bottom \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"padding-top \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"padding-bottom \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"height \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms ease-in-out\"},\n\t\t{marginBottom: currMarginBottom + \"px\"},\n\t\t{marginTop: currMarginTop + \"px\"},\n\t\t{paddingBottom: currPaddingBottom + \"px\"},\n\t\t{paddingTop: currPaddingTop + \"px\"},\n\t\t{height: currHeight + \"px\"},\n\t\t{opacity: \"1\"}\n\t]);\n}\n\nfunction slideClosed(domNode,options) {\n\toptions = options || {};\n\tvar duration = options.duration || $tw.utils.getAnimationDuration(),\n\t\tcurrHeight = domNode.offsetHeight;\n\t// Clear the properties we've set when the animation is over\n\tsetTimeout(function() {\n\t\t$tw.utils.setStyle(domNode,[\n\t\t\t{transition: \"none\"},\n\t\t\t{marginBottom: \"\"},\n\t\t\t{marginTop: \"\"},\n\t\t\t{paddingBottom: \"\"},\n\t\t\t{paddingTop: \"\"},\n\t\t\t{height: \"auto\"},\n\t\t\t{opacity: \"\"}\n\t\t]);\n\t\tif(options.callback) {\n\t\t\toptions.callback();\n\t\t}\n\t},duration);\n\t// Set up the initial position of the element\n\t$tw.utils.setStyle(domNode,[\n\t\t{height: currHeight + \"px\"},\n\t\t{opacity: \"1\"}\n\t]);\n\t$tw.utils.forceLayout(domNode);\n\t// Transition to the final position\n\t$tw.utils.setStyle(domNode,[\n\t\t{transition: \"margin-top \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"margin-bottom \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"padding-top \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"padding-bottom \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"height \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms ease-in-out\"},\n\t\t{marginTop: \"0px\"},\n\t\t{marginBottom: \"0px\"},\n\t\t{paddingTop: \"0px\"},\n\t\t{paddingBottom: \"0px\"},\n\t\t{height: \"0px\"},\n\t\t{opacity: \"0\"}\n\t]);\n}\n\nexports.slide = {\n\topen: slideOpen,\n\tclose: slideClosed\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "animation"
},
"$:/core/modules/utils/dom/animator.js": {
"title": "$:/core/modules/utils/dom/animator.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/animator.js\ntype: application/javascript\nmodule-type: utils\n\nOrchestrates animations and transitions\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nfunction Animator() {\n\t// Get the registered animation modules\n\tthis.animations = {};\n\t$tw.modules.applyMethods(\"animation\",this.animations);\n}\n\nAnimator.prototype.perform = function(type,domNode,options) {\n\toptions = options || {};\n\t// Find an animation that can handle this type\n\tvar chosenAnimation;\n\t$tw.utils.each(this.animations,function(animation,name) {\n\t\tif($tw.utils.hop(animation,type)) {\n\t\t\tchosenAnimation = animation[type];\n\t\t}\n\t});\n\tif(!chosenAnimation) {\n\t\tchosenAnimation = function(domNode,options) {\n\t\t\tif(options.callback) {\n\t\t\t\toptions.callback();\n\t\t\t}\n\t\t};\n\t}\n\t// Call the animation\n\tchosenAnimation(domNode,options);\n};\n\nexports.Animator = Animator;\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/browser.js": {
"title": "$:/core/modules/utils/dom/browser.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/browser.js\ntype: application/javascript\nmodule-type: utils\n\nBrowser feature detection\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSet style properties of an element\n\telement: dom node\n\tstyles: ordered array of {name: value} pairs\n*/\nexports.setStyle = function(element,styles) {\n\tif(element.nodeType === 1) { // Element.ELEMENT_NODE\n\t\tfor(var t=0; t<styles.length; t++) {\n\t\t\tfor(var styleName in styles[t]) {\n\t\t\t\telement.style[$tw.utils.convertStyleNameToPropertyName(styleName)] = styles[t][styleName];\n\t\t\t}\n\t\t}\n\t}\n};\n\n/*\nConverts a standard CSS property name into the local browser-specific equivalent. For example:\n\t\"background-color\" --> \"backgroundColor\"\n\t\"transition\" --> \"webkitTransition\"\n*/\n\nvar styleNameCache = {}; // We'll cache the style name conversions\n\nexports.convertStyleNameToPropertyName = function(styleName) {\n\t// Return from the cache if we can\n\tif(styleNameCache[styleName]) {\n\t\treturn styleNameCache[styleName];\n\t}\n\t// Convert it by first removing any hyphens\n\tvar propertyName = $tw.utils.unHyphenateCss(styleName);\n\t// Then check if it needs a prefix\n\tif($tw.browser && document.body.style[propertyName] === undefined) {\n\t\tvar prefixes = [\"O\",\"MS\",\"Moz\",\"webkit\"];\n\t\tfor(var t=0; t<prefixes.length; t++) {\n\t\t\tvar prefixedName = prefixes[t] + propertyName.substr(0,1).toUpperCase() + propertyName.substr(1);\n\t\t\tif(document.body.style[prefixedName] !== undefined) {\n\t\t\t\tpropertyName = prefixedName;\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t}\n\t// Put it in the cache too\n\tstyleNameCache[styleName] = propertyName;\n\treturn propertyName;\n};\n\n/*\nConverts a JS format CSS property name back into the dashed form used in CSS declarations. For example:\n\t\"backgroundColor\" --> \"background-color\"\n\t\"webkitTransform\" --> \"-webkit-transform\"\n*/\nexports.convertPropertyNameToStyleName = function(propertyName) {\n\t// Rehyphenate the name\n\tvar styleName = $tw.utils.hyphenateCss(propertyName);\n\t// If there's a webkit prefix, add a dash (other browsers have uppercase prefixes, and so get the dash automatically)\n\tif(styleName.indexOf(\"webkit\") === 0) {\n\t\tstyleName = \"-\" + styleName;\n\t} else if(styleName.indexOf(\"-m-s\") === 0) {\n\t\tstyleName = \"-ms\" + styleName.substr(4);\n\t}\n\treturn styleName;\n};\n\n/*\nRound trip a stylename to a property name and back again. For example:\n\t\"transform\" --> \"webkitTransform\" --> \"-webkit-transform\"\n*/\nexports.roundTripPropertyName = function(propertyName) {\n\treturn $tw.utils.convertPropertyNameToStyleName($tw.utils.convertStyleNameToPropertyName(propertyName));\n};\n\n/*\nConverts a standard event name into the local browser specific equivalent. For example:\n\t\"animationEnd\" --> \"webkitAnimationEnd\"\n*/\n\nvar eventNameCache = {}; // We'll cache the conversions\n\nvar eventNameMappings = {\n\t\"transitionEnd\": {\n\t\tcorrespondingCssProperty: \"transition\",\n\t\tmappings: {\n\t\t\ttransition: \"transitionend\",\n\t\t\tOTransition: \"oTransitionEnd\",\n\t\t\tMSTransition: \"msTransitionEnd\",\n\t\t\tMozTransition: \"transitionend\",\n\t\t\twebkitTransition: \"webkitTransitionEnd\"\n\t\t}\n\t},\n\t\"animationEnd\": {\n\t\tcorrespondingCssProperty: \"animation\",\n\t\tmappings: {\n\t\t\tanimation: \"animationend\",\n\t\t\tOAnimation: \"oAnimationEnd\",\n\t\t\tMSAnimation: \"msAnimationEnd\",\n\t\t\tMozAnimation: \"animationend\",\n\t\t\twebkitAnimation: \"webkitAnimationEnd\"\n\t\t}\n\t}\n};\n\nexports.convertEventName = function(eventName) {\n\tif(eventNameCache[eventName]) {\n\t\treturn eventNameCache[eventName];\n\t}\n\tvar newEventName = eventName,\n\t\tmappings = eventNameMappings[eventName];\n\tif(mappings) {\n\t\tvar convertedProperty = $tw.utils.convertStyleNameToPropertyName(mappings.correspondingCssProperty);\n\t\tif(mappings.mappings[convertedProperty]) {\n\t\t\tnewEventName = mappings.mappings[convertedProperty];\n\t\t}\n\t}\n\t// Put it in the cache too\n\teventNameCache[eventName] = newEventName;\n\treturn newEventName;\n};\n\n/*\nReturn the names of the fullscreen APIs\n*/\nexports.getFullScreenApis = function() {\n\tvar d = document,\n\t\tdb = d.body,\n\t\tresult = {\n\t\t\"_requestFullscreen\": db.webkitRequestFullscreen !== undefined ? \"webkitRequestFullscreen\" :\n\t\t\t\t\t\t\tdb.mozRequestFullScreen !== undefined ? \"mozRequestFullScreen\" :\n\t\t\t\t\t\t\tdb.msRequestFullscreen !== undefined ? \"msRequestFullscreen\" :\n\t\t\t\t\t\t\tdb.requestFullscreen !== undefined ? \"requestFullscreen\" : \"\",\n\t\t\"_exitFullscreen\": d.webkitExitFullscreen !== undefined ? \"webkitExitFullscreen\" :\n\t\t\t\t\t\t\td.mozCancelFullScreen !== undefined ? \"mozCancelFullScreen\" :\n\t\t\t\t\t\t\td.msExitFullscreen !== undefined ? \"msExitFullscreen\" :\n\t\t\t\t\t\t\td.exitFullscreen !== undefined ? \"exitFullscreen\" : \"\",\n\t\t\"_fullscreenElement\": d.webkitFullscreenElement !== undefined ? \"webkitFullscreenElement\" :\n\t\t\t\t\t\t\td.mozFullScreenElement !== undefined ? \"mozFullScreenElement\" :\n\t\t\t\t\t\t\td.msFullscreenElement !== undefined ? \"msFullscreenElement\" :\n\t\t\t\t\t\t\td.fullscreenElement !== undefined ? \"fullscreenElement\" : \"\",\n\t\t\"_fullscreenChange\": d.webkitFullscreenElement !== undefined ? \"webkitfullscreenchange\" :\n\t\t\t\t\t\t\td.mozFullScreenElement !== undefined ? \"mozfullscreenchange\" :\n\t\t\t\t\t\t\td.msFullscreenElement !== undefined ? \"MSFullscreenChange\" :\n\t\t\t\t\t\t\td.fullscreenElement !== undefined ? \"fullscreenchange\" : \"\"\n\t};\n\tif(!result._requestFullscreen || !result._exitFullscreen || !result._fullscreenElement || !result._fullscreenChange) {\n\t\treturn null;\n\t} else {\n\t\treturn result;\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/csscolorparser.js": {
"title": "$:/core/modules/utils/dom/csscolorparser.js",
"text": "// (c) Dean McNamee <dean@gmail.com>, 2012.\n//\n// https://github.com/deanm/css-color-parser-js\n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to\n// deal in the Software without restriction, including without limitation the\n// rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n// sell copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n//\n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n// IN THE SOFTWARE.\n\n// http://www.w3.org/TR/css3-color/\nvar kCSSColorTable = {\n \"transparent\": [0,0,0,0], \"aliceblue\": [240,248,255,1],\n \"antiquewhite\": [250,235,215,1], \"aqua\": [0,255,255,1],\n \"aquamarine\": [127,255,212,1], \"azure\": [240,255,255,1],\n \"beige\": [245,245,220,1], \"bisque\": [255,228,196,1],\n \"black\": [0,0,0,1], \"blanchedalmond\": [255,235,205,1],\n \"blue\": [0,0,255,1], \"blueviolet\": [138,43,226,1],\n \"brown\": [165,42,42,1], \"burlywood\": [222,184,135,1],\n \"cadetblue\": [95,158,160,1], \"chartreuse\": [127,255,0,1],\n \"chocolate\": [210,105,30,1], \"coral\": [255,127,80,1],\n \"cornflowerblue\": [100,149,237,1], \"cornsilk\": [255,248,220,1],\n \"crimson\": [220,20,60,1], \"cyan\": [0,255,255,1],\n \"darkblue\": [0,0,139,1], \"darkcyan\": [0,139,139,1],\n \"darkgoldenrod\": [184,134,11,1], \"darkgray\": [169,169,169,1],\n \"darkgreen\": [0,100,0,1], \"darkgrey\": [169,169,169,1],\n \"darkkhaki\": [189,183,107,1], \"darkmagenta\": [139,0,139,1],\n \"darkolivegreen\": [85,107,47,1], \"darkorange\": [255,140,0,1],\n \"darkorchid\": [153,50,204,1], \"darkred\": [139,0,0,1],\n \"darksalmon\": [233,150,122,1], \"darkseagreen\": [143,188,143,1],\n \"darkslateblue\": [72,61,139,1], \"darkslategray\": [47,79,79,1],\n \"darkslategrey\": [47,79,79,1], \"darkturquoise\": [0,206,209,1],\n \"darkviolet\": [148,0,211,1], \"deeppink\": [255,20,147,1],\n \"deepskyblue\": [0,191,255,1], \"dimgray\": [105,105,105,1],\n \"dimgrey\": [105,105,105,1], \"dodgerblue\": [30,144,255,1],\n \"firebrick\": [178,34,34,1], \"floralwhite\": [255,250,240,1],\n \"forestgreen\": [34,139,34,1], \"fuchsia\": [255,0,255,1],\n \"gainsboro\": [220,220,220,1], \"ghostwhite\": [248,248,255,1],\n \"gold\": [255,215,0,1], \"goldenrod\": [218,165,32,1],\n \"gray\": [128,128,128,1], \"green\": [0,128,0,1],\n \"greenyellow\": [173,255,47,1], \"grey\": [128,128,128,1],\n \"honeydew\": [240,255,240,1], \"hotpink\": [255,105,180,1],\n \"indianred\": [205,92,92,1], \"indigo\": [75,0,130,1],\n \"ivory\": [255,255,240,1], \"khaki\": [240,230,140,1],\n \"lavender\": [230,230,250,1], \"lavenderblush\": [255,240,245,1],\n \"lawngreen\": [124,252,0,1], \"lemonchiffon\": [255,250,205,1],\n \"lightblue\": [173,216,230,1], \"lightcoral\": [240,128,128,1],\n \"lightcyan\": [224,255,255,1], \"lightgoldenrodyellow\": [250,250,210,1],\n \"lightgray\": [211,211,211,1], \"lightgreen\": [144,238,144,1],\n \"lightgrey\": [211,211,211,1], \"lightpink\": [255,182,193,1],\n \"lightsalmon\": [255,160,122,1], \"lightseagreen\": [32,178,170,1],\n \"lightskyblue\": [135,206,250,1], \"lightslategray\": [119,136,153,1],\n \"lightslategrey\": [119,136,153,1], \"lightsteelblue\": [176,196,222,1],\n \"lightyellow\": [255,255,224,1], \"lime\": [0,255,0,1],\n \"limegreen\": [50,205,50,1], \"linen\": [250,240,230,1],\n \"magenta\": [255,0,255,1], \"maroon\": [128,0,0,1],\n \"mediumaquamarine\": [102,205,170,1], \"mediumblue\": [0,0,205,1],\n \"mediumorchid\": [186,85,211,1], \"mediumpurple\": [147,112,219,1],\n \"mediumseagreen\": [60,179,113,1], \"mediumslateblue\": [123,104,238,1],\n \"mediumspringgreen\": [0,250,154,1], \"mediumturquoise\": [72,209,204,1],\n \"mediumvioletred\": [199,21,133,1], \"midnightblue\": [25,25,112,1],\n \"mintcream\": [245,255,250,1], \"mistyrose\": [255,228,225,1],\n \"moccasin\": [255,228,181,1], \"navajowhite\": [255,222,173,1],\n \"navy\": [0,0,128,1], \"oldlace\": [253,245,230,1],\n \"olive\": [128,128,0,1], \"olivedrab\": [107,142,35,1],\n \"orange\": [255,165,0,1], \"orangered\": [255,69,0,1],\n \"orchid\": [218,112,214,1], \"palegoldenrod\": [238,232,170,1],\n \"palegreen\": [152,251,152,1], \"paleturquoise\": [175,238,238,1],\n \"palevioletred\": [219,112,147,1], \"papayawhip\": [255,239,213,1],\n \"peachpuff\": [255,218,185,1], \"peru\": [205,133,63,1],\n \"pink\": [255,192,203,1], \"plum\": [221,160,221,1],\n \"powderblue\": [176,224,230,1], \"purple\": [128,0,128,1],\n \"red\": [255,0,0,1], \"rosybrown\": [188,143,143,1],\n \"royalblue\": [65,105,225,1], \"saddlebrown\": [139,69,19,1],\n \"salmon\": [250,128,114,1], \"sandybrown\": [244,164,96,1],\n \"seagreen\": [46,139,87,1], \"seashell\": [255,245,238,1],\n \"sienna\": [160,82,45,1], \"silver\": [192,192,192,1],\n \"skyblue\": [135,206,235,1], \"slateblue\": [106,90,205,1],\n \"slategray\": [112,128,144,1], \"slategrey\": [112,128,144,1],\n \"snow\": [255,250,250,1], \"springgreen\": [0,255,127,1],\n \"steelblue\": [70,130,180,1], \"tan\": [210,180,140,1],\n \"teal\": [0,128,128,1], \"thistle\": [216,191,216,1],\n \"tomato\": [255,99,71,1], \"turquoise\": [64,224,208,1],\n \"violet\": [238,130,238,1], \"wheat\": [245,222,179,1],\n \"white\": [255,255,255,1], \"whitesmoke\": [245,245,245,1],\n \"yellow\": [255,255,0,1], \"yellowgreen\": [154,205,50,1]}\n\nfunction clamp_css_byte(i) { // Clamp to integer 0 .. 255.\n i = Math.round(i); // Seems to be what Chrome does (vs truncation).\n return i < 0 ? 0 : i > 255 ? 255 : i;\n}\n\nfunction clamp_css_float(f) { // Clamp to float 0.0 .. 1.0.\n return f < 0 ? 0 : f > 1 ? 1 : f;\n}\n\nfunction parse_css_int(str) { // int or percentage.\n if (str[str.length - 1] === '%')\n return clamp_css_byte(parseFloat(str) / 100 * 255);\n return clamp_css_byte(parseInt(str));\n}\n\nfunction parse_css_float(str) { // float or percentage.\n if (str[str.length - 1] === '%')\n return clamp_css_float(parseFloat(str) / 100);\n return clamp_css_float(parseFloat(str));\n}\n\nfunction css_hue_to_rgb(m1, m2, h) {\n if (h < 0) h += 1;\n else if (h > 1) h -= 1;\n\n if (h * 6 < 1) return m1 + (m2 - m1) * h * 6;\n if (h * 2 < 1) return m2;\n if (h * 3 < 2) return m1 + (m2 - m1) * (2/3 - h) * 6;\n return m1;\n}\n\nfunction parseCSSColor(css_str) {\n // Remove all whitespace, not compliant, but should just be more accepting.\n var str = css_str.replace(/ /g, '').toLowerCase();\n\n // Color keywords (and transparent) lookup.\n if (str in kCSSColorTable) return kCSSColorTable[str].slice(); // dup.\n\n // #abc and #abc123 syntax.\n if (str[0] === '#') {\n if (str.length === 4) {\n var iv = parseInt(str.substr(1), 16); // TODO(deanm): Stricter parsing.\n if (!(iv >= 0 && iv <= 0xfff)) return null; // Covers NaN.\n return [((iv & 0xf00) >> 4) | ((iv & 0xf00) >> 8),\n (iv & 0xf0) | ((iv & 0xf0) >> 4),\n (iv & 0xf) | ((iv & 0xf) << 4),\n 1];\n } else if (str.length === 7) {\n var iv = parseInt(str.substr(1), 16); // TODO(deanm): Stricter parsing.\n if (!(iv >= 0 && iv <= 0xffffff)) return null; // Covers NaN.\n return [(iv & 0xff0000) >> 16,\n (iv & 0xff00) >> 8,\n iv & 0xff,\n 1];\n }\n\n return null;\n }\n\n var op = str.indexOf('('), ep = str.indexOf(')');\n if (op !== -1 && ep + 1 === str.length) {\n var fname = str.substr(0, op);\n var params = str.substr(op+1, ep-(op+1)).split(',');\n var alpha = 1; // To allow case fallthrough.\n switch (fname) {\n case 'rgba':\n if (params.length !== 4) return null;\n alpha = parse_css_float(params.pop());\n // Fall through.\n case 'rgb':\n if (params.length !== 3) return null;\n return [parse_css_int(params[0]),\n parse_css_int(params[1]),\n parse_css_int(params[2]),\n alpha];\n case 'hsla':\n if (params.length !== 4) return null;\n alpha = parse_css_float(params.pop());\n // Fall through.\n case 'hsl':\n if (params.length !== 3) return null;\n var h = (((parseFloat(params[0]) % 360) + 360) % 360) / 360; // 0 .. 1\n // NOTE(deanm): According to the CSS spec s/l should only be\n // percentages, but we don't bother and let float or percentage.\n var s = parse_css_float(params[1]);\n var l = parse_css_float(params[2]);\n var m2 = l <= 0.5 ? l * (s + 1) : l + s - l * s;\n var m1 = l * 2 - m2;\n return [clamp_css_byte(css_hue_to_rgb(m1, m2, h+1/3) * 255),\n clamp_css_byte(css_hue_to_rgb(m1, m2, h) * 255),\n clamp_css_byte(css_hue_to_rgb(m1, m2, h-1/3) * 255),\n alpha];\n default:\n return null;\n }\n }\n\n return null;\n}\n\ntry { exports.parseCSSColor = parseCSSColor } catch(e) { }\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom.js": {
"title": "$:/core/modules/utils/dom.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom.js\ntype: application/javascript\nmodule-type: utils\n\nVarious static DOM-related utility functions.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nDetermines whether element 'a' contains element 'b'\nCode thanks to John Resig, http://ejohn.org/blog/comparing-document-position/\n*/\nexports.domContains = function(a,b) {\n\treturn a.contains ?\n\t\ta !== b && a.contains(b) :\n\t\t!!(a.compareDocumentPosition(b) & 16);\n};\n\nexports.removeChildren = function(node) {\n\twhile(node.hasChildNodes()) {\n\t\tnode.removeChild(node.firstChild);\n\t}\n};\n\nexports.hasClass = function(el,className) {\n\treturn el && el.className && el.className.toString().split(\" \").indexOf(className) !== -1;\n};\n\nexports.addClass = function(el,className) {\n\tvar c = el.className.split(\" \");\n\tif(c.indexOf(className) === -1) {\n\t\tc.push(className);\n\t\tel.className = c.join(\" \");\n\t}\n};\n\nexports.removeClass = function(el,className) {\n\tvar c = el.className.split(\" \"),\n\t\tp = c.indexOf(className);\n\tif(p !== -1) {\n\t\tc.splice(p,1);\n\t\tel.className = c.join(\" \");\n\t}\n};\n\nexports.toggleClass = function(el,className,status) {\n\tif(status === undefined) {\n\t\tstatus = !exports.hasClass(el,className);\n\t}\n\tif(status) {\n\t\texports.addClass(el,className);\n\t} else {\n\t\texports.removeClass(el,className);\n\t}\n};\n\n/*\nGet the first parent element that has scrollbars or use the body as fallback.\n*/\nexports.getScrollContainer = function(el) {\n\tvar doc = el.ownerDocument;\n\twhile(el.parentNode) {\t\n\t\tel = el.parentNode;\n\t\tif(el.scrollTop) {\n\t\t\treturn el;\n\t\t}\n\t}\n\treturn doc.body;\n};\n\n/*\nGet the scroll position of the viewport\nReturns:\n\t{\n\t\tx: horizontal scroll position in pixels,\n\t\ty: vertical scroll position in pixels\n\t}\n*/\nexports.getScrollPosition = function(srcWindow) {\n\tvar scrollWindow = srcWindow || window;\n\tif(\"scrollX\" in scrollWindow) {\n\t\treturn {x: scrollWindow.scrollX, y: scrollWindow.scrollY};\n\t} else {\n\t\treturn {x: scrollWindow.document.documentElement.scrollLeft, y: scrollWindow.document.documentElement.scrollTop};\n\t}\n};\n\n/*\nAdjust the height of a textarea to fit its content, preserving scroll position, and return the height\n*/\nexports.resizeTextAreaToFit = function(domNode,minHeight) {\n\t// Get the scroll container and register the current scroll position\n\tvar container = $tw.utils.getScrollContainer(domNode),\n\t\tscrollTop = container.scrollTop;\n // Measure the specified minimum height\n\tdomNode.style.height = minHeight;\n\tvar measuredHeight = domNode.offsetHeight || parseInt(minHeight,10);\n\t// Set its height to auto so that it snaps to the correct height\n\tdomNode.style.height = \"auto\";\n\t// Calculate the revised height\n\tvar newHeight = Math.max(domNode.scrollHeight + domNode.offsetHeight - domNode.clientHeight,measuredHeight);\n\t// Only try to change the height if it has changed\n\tif(newHeight !== domNode.offsetHeight) {\n\t\tdomNode.style.height = newHeight + \"px\";\n\t\t// Make sure that the dimensions of the textarea are recalculated\n\t\t$tw.utils.forceLayout(domNode);\n\t\t// Set the container to the position we registered at the beginning\n\t\tcontainer.scrollTop = scrollTop;\n\t}\n\treturn newHeight;\n};\n\n/*\nGets the bounding rectangle of an element in absolute page coordinates\n*/\nexports.getBoundingPageRect = function(element) {\n\tvar scrollPos = $tw.utils.getScrollPosition(element.ownerDocument.defaultView),\n\t\tclientRect = element.getBoundingClientRect();\n\treturn {\n\t\tleft: clientRect.left + scrollPos.x,\n\t\twidth: clientRect.width,\n\t\tright: clientRect.right + scrollPos.x,\n\t\ttop: clientRect.top + scrollPos.y,\n\t\theight: clientRect.height,\n\t\tbottom: clientRect.bottom + scrollPos.y\n\t};\n};\n\n/*\nSaves a named password in the browser\n*/\nexports.savePassword = function(name,password) {\n\tvar done = false;\n\ttry {\n\t\twindow.localStorage.setItem(\"tw5-password-\" + name,password);\n\t\tdone = true;\n\t} catch(e) {\n\t}\n\tif(!done) {\n\t\t$tw.savedPasswords = $tw.savedPasswords || Object.create(null);\n\t\t$tw.savedPasswords[name] = password;\n\t}\n};\n\n/*\nRetrieve a named password from the browser\n*/\nexports.getPassword = function(name) {\n\tvar value;\n\ttry {\n\t\tvalue = window.localStorage.getItem(\"tw5-password-\" + name);\n\t} catch(e) {\n\t}\n\tif(value !== undefined) {\n\t\treturn value;\n\t} else {\n\t\treturn ($tw.savedPasswords || Object.create(null))[name] || \"\";\n\t}\n};\n\n/*\nForce layout of a dom node and its descendents\n*/\nexports.forceLayout = function(element) {\n\tvar dummy = element.offsetWidth;\n};\n\n/*\nPulse an element for debugging purposes\n*/\nexports.pulseElement = function(element) {\n\t// Event handler to remove the class at the end\n\telement.addEventListener($tw.browser.animationEnd,function handler(event) {\n\t\telement.removeEventListener($tw.browser.animationEnd,handler,false);\n\t\t$tw.utils.removeClass(element,\"pulse\");\n\t},false);\n\t// Apply the pulse class\n\t$tw.utils.removeClass(element,\"pulse\");\n\t$tw.utils.forceLayout(element);\n\t$tw.utils.addClass(element,\"pulse\");\n};\n\n/*\nAttach specified event handlers to a DOM node\ndomNode: where to attach the event handlers\nevents: array of event handlers to be added (see below)\nEach entry in the events array is an object with these properties:\nhandlerFunction: optional event handler function\nhandlerObject: optional event handler object\nhandlerMethod: optionally specifies object handler method name (defaults to `handleEvent`)\n*/\nexports.addEventListeners = function(domNode,events) {\n\t$tw.utils.each(events,function(eventInfo) {\n\t\tvar handler;\n\t\tif(eventInfo.handlerFunction) {\n\t\t\thandler = eventInfo.handlerFunction;\n\t\t} else if(eventInfo.handlerObject) {\n\t\t\tif(eventInfo.handlerMethod) {\n\t\t\t\thandler = function(event) {\n\t\t\t\t\teventInfo.handlerObject[eventInfo.handlerMethod].call(eventInfo.handlerObject,event);\n\t\t\t\t};\t\n\t\t\t} else {\n\t\t\t\thandler = eventInfo.handlerObject;\n\t\t\t}\n\t\t}\n\t\tdomNode.addEventListener(eventInfo.name,handler,false);\n\t});\n};\n\n/*\nGet the computed styles applied to an element as an array of strings of individual CSS properties\n*/\nexports.getComputedStyles = function(domNode) {\n\tvar textAreaStyles = window.getComputedStyle(domNode,null),\n\t\tstyleDefs = [],\n\t\tname;\n\tfor(var t=0; t<textAreaStyles.length; t++) {\n\t\tname = textAreaStyles[t];\n\t\tstyleDefs.push(name + \": \" + textAreaStyles.getPropertyValue(name) + \";\");\n\t}\n\treturn styleDefs;\n};\n\n/*\nApply a set of styles passed as an array of strings of individual CSS properties\n*/\nexports.setStyles = function(domNode,styleDefs) {\n\tdomNode.style.cssText = styleDefs.join(\"\");\n};\n\n/*\nCopy the computed styles from a source element to a destination element\n*/\nexports.copyStyles = function(srcDomNode,dstDomNode) {\n\t$tw.utils.setStyles(dstDomNode,$tw.utils.getComputedStyles(srcDomNode));\n};\n\n/*\nCopy plain text to the clipboard on browsers that support it\n*/\nexports.copyToClipboard = function(text,options) {\n\toptions = options || {};\n\tvar textArea = document.createElement(\"textarea\");\n\ttextArea.style.position = \"fixed\";\n\ttextArea.style.top = 0;\n\ttextArea.style.left = 0;\n\ttextArea.style.fontSize = \"12pt\";\n\ttextArea.style.width = \"2em\";\n\ttextArea.style.height = \"2em\";\n\ttextArea.style.padding = 0;\n\ttextArea.style.border = \"none\";\n\ttextArea.style.outline = \"none\";\n\ttextArea.style.boxShadow = \"none\";\n\ttextArea.style.background = \"transparent\";\n\ttextArea.value = text;\n\tdocument.body.appendChild(textArea);\n\ttextArea.select();\n\ttextArea.setSelectionRange(0,text.length);\n\tvar succeeded = false;\n\ttry {\n\t\tsucceeded = document.execCommand(\"copy\");\n\t} catch (err) {\n\t}\n\tif(!options.doNotNotify) {\n\t\t$tw.notifier.display(succeeded ? \"$:/language/Notifications/CopiedToClipboard/Succeeded\" : \"$:/language/Notifications/CopiedToClipboard/Failed\");\n\t}\n\tdocument.body.removeChild(textArea);\n};\n\nexports.getLocationPath = function() {\n\treturn window.location.toString().split(\"#\")[0];\n};\n\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/dragndrop.js": {
"title": "$:/core/modules/utils/dom/dragndrop.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/dragndrop.js\ntype: application/javascript\nmodule-type: utils\n\nBrowser data transfer utilities, used with the clipboard and drag and drop\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nOptions:\n\ndomNode: dom node to make draggable\ndragImageType: \"pill\" or \"dom\"\ndragTiddlerFn: optional function to retrieve the title of tiddler to drag\ndragFilterFn: optional function to retreive the filter defining a list of tiddlers to drag\nwidget: widget to use as the contect for the filter\n*/\nexports.makeDraggable = function(options) {\n\tvar dragImageType = options.dragImageType || \"dom\",\n\t\tdragImage,\n\t\tdomNode = options.domNode;\n\t// Make the dom node draggable (not necessary for anchor tags)\n\tif((domNode.tagName || \"\").toLowerCase() !== \"a\") {\n\t\tdomNode.setAttribute(\"draggable\",\"true\");\t\t\n\t}\n\t// Add event handlers\n\t$tw.utils.addEventListeners(domNode,[\n\t\t{name: \"dragstart\", handlerFunction: function(event) {\n\t\t\tif(event.dataTransfer === undefined) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t\t// Collect the tiddlers being dragged\n\t\t\tvar dragTiddler = options.dragTiddlerFn && options.dragTiddlerFn(),\n\t\t\t\tdragFilter = options.dragFilterFn && options.dragFilterFn(),\n\t\t\t\ttitles = dragTiddler ? [dragTiddler] : [],\n\t\t\t \tstartActions = options.startActions;\n\t\t\tif(dragFilter) {\n\t\t\t\ttitles.push.apply(titles,options.widget.wiki.filterTiddlers(dragFilter,options.widget));\n\t\t\t}\n\t\t\tvar titleString = $tw.utils.stringifyList(titles);\n\t\t\t// Check that we've something to drag\n\t\t\tif(titles.length > 0 && event.target === domNode) {\n\t\t\t\t// Mark the drag in progress\n\t\t\t\t$tw.dragInProgress = domNode;\n\t\t\t\t// Set the dragging class on the element being dragged\n\t\t\t\t$tw.utils.addClass(event.target,\"tc-dragging\");\n\t\t\t\t// Invoke drag-start actions if given\n\t\t\t\tif(startActions !== undefined) {\n\t\t\t\t\toptions.widget.invokeActionString(startActions,options.widget,event,{actionTiddler: titleString});\n\t\t\t\t}\n\t\t\t\t// Create the drag image elements\n\t\t\t\tdragImage = options.widget.document.createElement(\"div\");\n\t\t\t\tdragImage.className = \"tc-tiddler-dragger\";\n\t\t\t\tvar inner = options.widget.document.createElement(\"div\");\n\t\t\t\tinner.className = \"tc-tiddler-dragger-inner\";\n\t\t\t\tinner.appendChild(options.widget.document.createTextNode(\n\t\t\t\t\ttitles.length === 1 ? \n\t\t\t\t\t\ttitles[0] :\n\t\t\t\t\t\ttitles.length + \" tiddlers\"\n\t\t\t\t));\n\t\t\t\tdragImage.appendChild(inner);\n\t\t\t\toptions.widget.document.body.appendChild(dragImage);\n\t\t\t\t// Set the data transfer properties\n\t\t\t\tvar dataTransfer = event.dataTransfer;\n\t\t\t\t// Set up the image\n\t\t\t\tdataTransfer.effectAllowed = \"all\";\n\t\t\t\tif(dataTransfer.setDragImage) {\n\t\t\t\t\tif(dragImageType === \"pill\") {\n\t\t\t\t\t\tdataTransfer.setDragImage(dragImage.firstChild,-16,-16);\n\t\t\t\t\t} else {\n\t\t\t\t\t\tvar r = domNode.getBoundingClientRect();\n\t\t\t\t\t\tdataTransfer.setDragImage(domNode,event.clientX-r.left,event.clientY-r.top);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t// Set up the data transfer\n\t\t\t\tif(dataTransfer.clearData) {\n\t\t\t\t\tdataTransfer.clearData();\t\t\t\t\t\n\t\t\t\t}\n\t\t\t\tvar jsonData = [];\n\t\t\t\tif(titles.length > 1) {\n\t\t\t\t\ttitles.forEach(function(title) {\n\t\t\t\t\t\tjsonData.push(options.widget.wiki.getTiddlerAsJson(title));\n\t\t\t\t\t});\n\t\t\t\t\tjsonData = \"[\" + jsonData.join(\",\") + \"]\";\n\t\t\t\t} else {\n\t\t\t\t\tjsonData = options.widget.wiki.getTiddlerAsJson(titles[0]);\n\t\t\t\t}\n\t\t\t\t// IE doesn't like these content types\n\t\t\t\tif(!$tw.browser.isIE) {\n\t\t\t\t\tdataTransfer.setData(\"text/vnd.tiddler\",jsonData);\n\t\t\t\t\tdataTransfer.setData(\"text/plain\",titleString);\n\t\t\t\t\tdataTransfer.setData(\"text/x-moz-url\",\"data:text/vnd.tiddler,\" + encodeURIComponent(jsonData));\n\t\t\t\t}\n\t\t\t\tdataTransfer.setData(\"URL\",\"data:text/vnd.tiddler,\" + encodeURIComponent(jsonData));\n\t\t\t\tdataTransfer.setData(\"Text\",titleString);\n\t\t\t\tevent.stopPropagation();\n\t\t\t}\n\t\t\treturn false;\n\t\t}},\n\t\t{name: \"dragend\", handlerFunction: function(event) {\n\t\t\tif(event.target === domNode) {\n\t\t\t\t// Collect the tiddlers being dragged\n\t\t\t\tvar dragTiddler = options.dragTiddlerFn && options.dragTiddlerFn(),\n\t\t\t\t\tdragFilter = options.dragFilterFn && options.dragFilterFn(),\n\t\t\t\t\ttitles = dragTiddler ? [dragTiddler] : [],\n\t\t\t \t\tendActions = options.endActions;\n\t\t\t\tif(dragFilter) {\n\t\t\t\t\ttitles.push.apply(titles,options.widget.wiki.filterTiddlers(dragFilter,options.widget));\n\t\t\t\t}\n\t\t\t\tvar titleString = $tw.utils.stringifyList(titles);\n\t\t\t\t$tw.dragInProgress = null;\n\t\t\t\t// Invoke drag-end actions if given\n\t\t\t\tif(endActions !== undefined) {\n\t\t\t\t\toptions.widget.invokeActionString(endActions,options.widget,event,{actionTiddler: titleString});\n\t\t\t\t}\n\t\t\t\t// Remove the dragging class on the element being dragged\n\t\t\t\t$tw.utils.removeClass(event.target,\"tc-dragging\");\n\t\t\t\t// Delete the drag image element\n\t\t\t\tif(dragImage) {\n\t\t\t\t\tdragImage.parentNode.removeChild(dragImage);\n\t\t\t\t\tdragImage = null;\n\t\t\t\t}\n\t\t\t}\n\t\t\treturn false;\n\t\t}}\n\t]);\n};\n\nexports.importDataTransfer = function(dataTransfer,fallbackTitle,callback) {\n\t// Try each provided data type in turn\n\tif($tw.log.IMPORT) {\n\t\tconsole.log(\"Available data types:\");\n\t\tfor(var type=0; type<dataTransfer.types.length; type++) {\n\t\t\tconsole.log(\"type\",dataTransfer.types[type],dataTransfer.getData(dataTransfer.types[type]))\n\t\t}\n\t}\n\tfor(var t=0; t<importDataTypes.length; t++) {\n\t\tif(!$tw.browser.isIE || importDataTypes[t].IECompatible) {\n\t\t\t// Get the data\n\t\t\tvar dataType = importDataTypes[t];\n\t\t\t\tvar data = dataTransfer.getData(dataType.type);\n\t\t\t// Import the tiddlers in the data\n\t\t\tif(data !== \"\" && data !== null) {\n\t\t\t\tif($tw.log.IMPORT) {\n\t\t\t\t\tconsole.log(\"Importing data type '\" + dataType.type + \"', data: '\" + data + \"'\")\n\t\t\t\t}\n\t\t\t\tvar tiddlerFields = dataType.toTiddlerFieldsArray(data,fallbackTitle);\n\t\t\t\tcallback(tiddlerFields);\n\t\t\t\treturn;\n\t\t\t}\n\t\t}\n\t}\n};\n\nvar importDataTypes = [\n\t{type: \"text/vnd.tiddler\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn parseJSONTiddlers(data,fallbackTitle);\n\t}},\n\t{type: \"URL\", IECompatible: true, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\t// Check for tiddler data URI\n\t\tvar match = decodeURIComponent(data).match(/^data\\:text\\/vnd\\.tiddler,(.*)/i);\n\t\tif(match) {\n\t\t\treturn parseJSONTiddlers(match[1],fallbackTitle);\n\t\t} else {\n\t\t\treturn [{title: fallbackTitle, text: data}]; // As URL string\n\t\t}\n\t}},\n\t{type: \"text/x-moz-url\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\t// Check for tiddler data URI\n\t\tvar match = decodeURIComponent(data).match(/^data\\:text\\/vnd\\.tiddler,(.*)/i);\n\t\tif(match) {\n\t\t\treturn parseJSONTiddlers(match[1],fallbackTitle);\n\t\t} else {\n\t\t\treturn [{title: fallbackTitle, text: data}]; // As URL string\n\t\t}\n\t}},\n\t{type: \"text/html\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn [{title: fallbackTitle, text: data}];\n\t}},\n\t{type: \"text/plain\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn [{title: fallbackTitle, text: data}];\n\t}},\n\t{type: \"Text\", IECompatible: true, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn [{title: fallbackTitle, text: data}];\n\t}},\n\t{type: \"text/uri-list\", IECompatible: false, toTiddlerFieldsArray: function(data,fallbackTitle) {\n\t\treturn [{title: fallbackTitle, text: data}];\n\t}}\n];\n\nfunction parseJSONTiddlers(json,fallbackTitle) {\n\tvar data = JSON.parse(json);\n\tif(!$tw.utils.isArray(data)) {\n\t\tdata = [data];\n\t}\n\tdata.forEach(function(fields) {\n\t\tfields.title = fields.title || fallbackTitle;\n\t});\n\treturn data;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/http.js": {
"title": "$:/core/modules/utils/dom/http.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/http.js\ntype: application/javascript\nmodule-type: utils\n\nBrowser HTTP support\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nA quick and dirty HTTP function; to be refactored later. Options are:\n\turl: URL to retrieve\n\theaders: hashmap of headers to send\n\ttype: GET, PUT, POST etc\n\tcallback: function invoked with (err,data,xhr)\n\treturnProp: string name of the property to return as first argument of callback\n*/\nexports.httpRequest = function(options) {\n\tvar type = options.type || \"GET\",\n\t\turl = options.url,\n\t\theaders = options.headers || {accept: \"application/json\"},\n\t\treturnProp = options.returnProp || \"responseText\",\n\t\trequest = new XMLHttpRequest(),\n\t\tdata = \"\",\n\t\tf,results;\n\t// Massage the data hashmap into a string\n\tif(options.data) {\n\t\tif(typeof options.data === \"string\") { // Already a string\n\t\t\tdata = options.data;\n\t\t} else { // A hashmap of strings\n\t\t\tresults = [];\n\t\t\t$tw.utils.each(options.data,function(dataItem,dataItemTitle) {\n\t\t\t\tresults.push(dataItemTitle + \"=\" + encodeURIComponent(dataItem));\n\t\t\t});\n\t\t\tif(type === \"GET\" || type === \"HEAD\") {\n\t\t\t\turl += \"?\" + results.join(\"&\");\n\t\t\t} else {\n\t\t\t\tdata = results.join(\"&\");\n\t\t\t}\n\t\t}\n\t}\n\t// Set up the state change handler\n\trequest.onreadystatechange = function() {\n\t\tif(this.readyState === 4) {\n\t\t\tif(this.status === 200 || this.status === 201 || this.status === 204) {\n\t\t\t\t// Success!\n\t\t\t\toptions.callback(null,this[returnProp],this);\n\t\t\t\treturn;\n\t\t\t}\n\t\t// Something went wrong\n\t\toptions.callback($tw.language.getString(\"Error/XMLHttpRequest\") + \": \" + this.status,null,this);\n\t\t}\n\t};\n\t// Make the request\n\trequest.open(type,url,true);\n\tif(headers) {\n\t\t$tw.utils.each(headers,function(header,headerTitle,object) {\n\t\t\trequest.setRequestHeader(headerTitle,header);\n\t\t});\n\t}\n\tif(data && !$tw.utils.hop(headers,\"Content-type\")) {\n\t\trequest.setRequestHeader(\"Content-type\",\"application/x-www-form-urlencoded; charset=UTF-8\");\n\t}\n\tif(!$tw.utils.hop(headers,\"X-Requested-With\")) {\n\t\trequest.setRequestHeader(\"X-Requested-With\",\"TiddlyWiki\");\n\t}\n\ttry {\n\t\trequest.send(data);\n\t} catch(e) {\n\t\toptions.callback(e,null,this);\n\t}\n\treturn request;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/keyboard.js": {
"title": "$:/core/modules/utils/dom/keyboard.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/keyboard.js\ntype: application/javascript\nmodule-type: utils\n\nKeyboard utilities; now deprecated. Instead, use $tw.keyboardManager\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n[\"parseKeyDescriptor\",\"checkKeyDescriptor\"].forEach(function(method) {\n\texports[method] = function() {\n\t\tif($tw.keyboardManager) {\n\t\t\treturn $tw.keyboardManager[method].apply($tw.keyboardManager,Array.prototype.slice.call(arguments,0));\n\t\t} else {\n\t\t\treturn null\n\t\t}\n\t};\n});\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/modal.js": {
"title": "$:/core/modules/utils/dom/modal.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/modal.js\ntype: application/javascript\nmodule-type: utils\n\nModal message mechanism\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nvar Modal = function(wiki) {\n\tthis.wiki = wiki;\n\tthis.modalCount = 0;\n};\n\n/*\nDisplay a modal dialogue\n\ttitle: Title of tiddler to display\n\toptions: see below\nOptions include:\n\tdownloadLink: Text of a big download link to include\n*/\nModal.prototype.display = function(title,options) {\n\toptions = options || {};\n\tthis.srcDocument = options.variables && (options.variables.rootwindow === \"true\" ||\n\t\t\t\toptions.variables.rootwindow === \"yes\") ? document :\n\t\t\t\t(options.event.event && options.event.event.target ? options.event.event.target.ownerDocument : document);\n\tthis.srcWindow = this.srcDocument.defaultView;\n\tvar self = this,\n\t\trefreshHandler,\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\ttiddler = this.wiki.getTiddler(title);\n\t// Don't do anything if the tiddler doesn't exist\n\tif(!tiddler) {\n\t\treturn;\n\t}\n\t// Create the variables\n\tvar variables = $tw.utils.extend({currentTiddler: title},options.variables);\n\t// Create the wrapper divs\n\tvar wrapper = this.srcDocument.createElement(\"div\"),\n\t\tmodalBackdrop = this.srcDocument.createElement(\"div\"),\n\t\tmodalWrapper = this.srcDocument.createElement(\"div\"),\n\t\tmodalHeader = this.srcDocument.createElement(\"div\"),\n\t\theaderTitle = this.srcDocument.createElement(\"h3\"),\n\t\tmodalBody = this.srcDocument.createElement(\"div\"),\n\t\tmodalLink = this.srcDocument.createElement(\"a\"),\n\t\tmodalFooter = this.srcDocument.createElement(\"div\"),\n\t\tmodalFooterHelp = this.srcDocument.createElement(\"span\"),\n\t\tmodalFooterButtons = this.srcDocument.createElement(\"span\");\n\t// Up the modal count and adjust the body class\n\tthis.modalCount++;\n\tthis.adjustPageClass();\n\t// Add classes\n\t$tw.utils.addClass(wrapper,\"tc-modal-wrapper\");\n\tif(tiddler.fields && tiddler.fields.class) {\n\t\t$tw.utils.addClass(wrapper,tiddler.fields.class);\n\t}\n\t$tw.utils.addClass(modalBackdrop,\"tc-modal-backdrop\");\n\t$tw.utils.addClass(modalWrapper,\"tc-modal\");\n\t$tw.utils.addClass(modalHeader,\"tc-modal-header\");\n\t$tw.utils.addClass(modalBody,\"tc-modal-body\");\n\t$tw.utils.addClass(modalFooter,\"tc-modal-footer\");\n\t// Join them together\n\twrapper.appendChild(modalBackdrop);\n\twrapper.appendChild(modalWrapper);\n\tmodalHeader.appendChild(headerTitle);\n\tmodalWrapper.appendChild(modalHeader);\n\tmodalWrapper.appendChild(modalBody);\n\tmodalFooter.appendChild(modalFooterHelp);\n\tmodalFooter.appendChild(modalFooterButtons);\n\tmodalWrapper.appendChild(modalFooter);\n\t// Render the title of the message\n\tvar headerWidgetNode = this.wiki.makeTranscludeWidget(title,{\n\t\tfield: \"subtitle\",\n\t\tmode: \"inline\",\n\t\tchildren: [{\n\t\t\ttype: \"text\",\n\t\t\tattributes: {\n\t\t\t\ttext: {\n\t\t\t\t\ttype: \"string\",\n\t\t\t\t\tvalue: title\n\t\t}}}],\n\t\tparentWidget: $tw.rootWidget,\n\t\tdocument: this.srcDocument,\n\t\tvariables: variables,\n\t\timportPageMacros: true\n\t});\n\theaderWidgetNode.render(headerTitle,null);\n\t// Render the body of the message\n\tvar bodyWidgetNode = this.wiki.makeTranscludeWidget(title,{\n\t\tparentWidget: $tw.rootWidget,\n\t\tdocument: this.srcDocument,\n\t\tvariables: variables,\n\t\timportPageMacros: true\n\t});\n\tbodyWidgetNode.render(modalBody,null);\n\t// Setup the link if present\n\tif(options.downloadLink) {\n\t\tmodalLink.href = options.downloadLink;\n\t\tmodalLink.appendChild(this.srcDocument.createTextNode(\"Right-click to save changes\"));\n\t\tmodalBody.appendChild(modalLink);\n\t}\n\t// Render the footer of the message\n\tif(tiddler.fields && tiddler.fields.help) {\n\t\tvar link = this.srcDocument.createElement(\"a\");\n\t\tlink.setAttribute(\"href\",tiddler.fields.help);\n\t\tlink.setAttribute(\"target\",\"_blank\");\n\t\tlink.setAttribute(\"rel\",\"noopener noreferrer\");\n\t\tlink.appendChild(this.srcDocument.createTextNode(\"Help\"));\n\t\tmodalFooterHelp.appendChild(link);\n\t\tmodalFooterHelp.style.float = \"left\";\n\t}\n\tvar footerWidgetNode = this.wiki.makeTranscludeWidget(title,{\n\t\tfield: \"footer\",\n\t\tmode: \"inline\",\n\t\tchildren: [{\n\t\t\ttype: \"button\",\n\t\t\tattributes: {\n\t\t\t\tmessage: {\n\t\t\t\t\ttype: \"string\",\n\t\t\t\t\tvalue: \"tm-close-tiddler\"\n\t\t\t\t}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\",\n\t\t\t\tattributes: {\n\t\t\t\t\ttext: {\n\t\t\t\t\t\ttype: \"string\",\n\t\t\t\t\t\tvalue: $tw.language.getString(\"Buttons/Close/Caption\")\n\t\t\t}}}\n\t\t]}],\n\t\tparentWidget: $tw.rootWidget,\n\t\tdocument: this.srcDocument,\n\t\tvariables: variables,\n\t\timportPageMacros: true\n\t});\n\tfooterWidgetNode.render(modalFooterButtons,null);\n\t// Set up the refresh handler\n\trefreshHandler = function(changes) {\n\t\theaderWidgetNode.refresh(changes,modalHeader,null);\n\t\tbodyWidgetNode.refresh(changes,modalBody,null);\n\t\tfooterWidgetNode.refresh(changes,modalFooterButtons,null);\n\t};\n\tthis.wiki.addEventListener(\"change\",refreshHandler);\n\t// Add the close event handler\n\tvar closeHandler = function(event) {\n\t\t// Remove our refresh handler\n\t\tself.wiki.removeEventListener(\"change\",refreshHandler);\n\t\t// Decrease the modal count and adjust the body class\n\t\tself.modalCount--;\n\t\tself.adjustPageClass();\n\t\t// Force layout and animate the modal message away\n\t\t$tw.utils.forceLayout(modalBackdrop);\n\t\t$tw.utils.forceLayout(modalWrapper);\n\t\t$tw.utils.setStyle(modalBackdrop,[\n\t\t\t{opacity: \"0\"}\n\t\t]);\n\t\t$tw.utils.setStyle(modalWrapper,[\n\t\t\t{transform: \"translateY(\" + self.srcWindow.innerHeight + \"px)\"}\n\t\t]);\n\t\t// Set up an event for the transition end\n\t\tself.srcWindow.setTimeout(function() {\n\t\t\tif(wrapper.parentNode) {\n\t\t\t\t// Remove the modal message from the DOM\n\t\t\t\tself.srcDocument.body.removeChild(wrapper);\n\t\t\t}\n\t\t},duration);\n\t\t// Don't let anyone else handle the tm-close-tiddler message\n\t\treturn false;\n\t};\n\theaderWidgetNode.addEventListener(\"tm-close-tiddler\",closeHandler,false);\n\tbodyWidgetNode.addEventListener(\"tm-close-tiddler\",closeHandler,false);\n\tfooterWidgetNode.addEventListener(\"tm-close-tiddler\",closeHandler,false);\n\t// Set the initial styles for the message\n\t$tw.utils.setStyle(modalBackdrop,[\n\t\t{opacity: \"0\"}\n\t]);\n\t$tw.utils.setStyle(modalWrapper,[\n\t\t{transformOrigin: \"0% 0%\"},\n\t\t{transform: \"translateY(\" + (-this.srcWindow.innerHeight) + \"px)\"}\n\t]);\n\t// Put the message into the document\n\tthis.srcDocument.body.appendChild(wrapper);\n\t// Set up animation for the styles\n\t$tw.utils.setStyle(modalBackdrop,[\n\t\t{transition: \"opacity \" + duration + \"ms ease-out\"}\n\t]);\n\t$tw.utils.setStyle(modalWrapper,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms ease-in-out\"}\n\t]);\n\t// Force layout\n\t$tw.utils.forceLayout(modalBackdrop);\n\t$tw.utils.forceLayout(modalWrapper);\n\t// Set final animated styles\n\t$tw.utils.setStyle(modalBackdrop,[\n\t\t{opacity: \"0.7\"}\n\t]);\n\t$tw.utils.setStyle(modalWrapper,[\n\t\t{transform: \"translateY(0px)\"}\n\t]);\n};\n\nModal.prototype.adjustPageClass = function() {\n\tvar windowContainer = $tw.pageContainer ? ($tw.pageContainer === this.srcDocument.body.firstChild ? $tw.pageContainer : this.srcDocument.body.firstChild) : null;\n\tif(windowContainer) {\n\t\t$tw.utils.toggleClass(windowContainer,\"tc-modal-displayed\",this.modalCount > 0);\n\t}\n};\n\nexports.Modal = Modal;\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/notifier.js": {
"title": "$:/core/modules/utils/dom/notifier.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/notifier.js\ntype: application/javascript\nmodule-type: utils\n\nNotifier mechanism\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nvar Notifier = function(wiki) {\n\tthis.wiki = wiki;\n};\n\n/*\nDisplay a notification\n\ttitle: Title of tiddler containing the notification text\n\toptions: see below\nOptions include:\n*/\nNotifier.prototype.display = function(title,options) {\n\toptions = options || {};\n\t// Create the wrapper divs\n\tvar self = this,\n\t\tnotification = document.createElement(\"div\"),\n\t\ttiddler = this.wiki.getTiddler(title),\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\trefreshHandler;\n\t// Don't do anything if the tiddler doesn't exist\n\tif(!tiddler) {\n\t\treturn;\n\t}\n\t// Add classes\n\t$tw.utils.addClass(notification,\"tc-notification\");\n\t// Create the variables\n\tvar variables = $tw.utils.extend({currentTiddler: title},options.variables);\n\t// Render the body of the notification\n\tvar widgetNode = this.wiki.makeTranscludeWidget(title,{\n\t\tparentWidget: $tw.rootWidget,\n\t\tdocument: document,\n\t\tvariables: variables,\n\t\timportPageMacros: true});\n\twidgetNode.render(notification,null);\n\trefreshHandler = function(changes) {\n\t\twidgetNode.refresh(changes,notification,null);\n\t};\n\tthis.wiki.addEventListener(\"change\",refreshHandler);\n\t// Set the initial styles for the notification\n\t$tw.utils.setStyle(notification,[\n\t\t{opacity: \"0\"},\n\t\t{transformOrigin: \"0% 0%\"},\n\t\t{transform: \"translateY(\" + (-window.innerHeight) + \"px)\"},\n\t\t{transition: \"opacity \" + duration + \"ms ease-out, \" + $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms ease-in-out\"}\n\t]);\n\t// Add the notification to the DOM\n\tdocument.body.appendChild(notification);\n\t// Force layout\n\t$tw.utils.forceLayout(notification);\n\t// Set final animated styles\n\t$tw.utils.setStyle(notification,[\n\t\t{opacity: \"1.0\"},\n\t\t{transform: \"translateY(0px)\"}\n\t]);\n\t// Set a timer to remove the notification\n\twindow.setTimeout(function() {\n\t\t// Remove our change event handler\n\t\tself.wiki.removeEventListener(\"change\",refreshHandler);\n\t\t// Force layout and animate the notification away\n\t\t$tw.utils.forceLayout(notification);\n\t\t$tw.utils.setStyle(notification,[\n\t\t\t{opacity: \"0.0\"},\n\t\t\t{transform: \"translateX(\" + (notification.offsetWidth) + \"px)\"}\n\t\t]);\n\t\t// Remove the modal message from the DOM once the transition ends\n\t\tsetTimeout(function() {\n\t\t\tif(notification.parentNode) {\n\t\t\t\tdocument.body.removeChild(notification);\n\t\t\t}\n\t\t},duration);\n\t},$tw.config.preferences.notificationDuration);\n};\n\nexports.Notifier = Notifier;\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/popup.js": {
"title": "$:/core/modules/utils/dom/popup.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/popup.js\ntype: application/javascript\nmodule-type: utils\n\nModule that creates a $tw.utils.Popup object prototype that manages popups in the browser\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nCreates a Popup object with these options:\n\trootElement: the DOM element to which the popup zapper should be attached\n*/\nvar Popup = function(options) {\n\toptions = options || {};\n\tthis.rootElement = options.rootElement || document.documentElement;\n\tthis.popups = []; // Array of {title:,wiki:,domNode:} objects\n};\n\n/*\nTrigger a popup open or closed. Parameters are in a hashmap:\n\ttitle: title of the tiddler where the popup details are stored\n\tdomNode: dom node to which the popup will be positioned (one of domNode or domNodeRect is required)\n\tdomNodeRect: rectangle to which the popup will be positioned\n\twiki: wiki\n\tforce: if specified, forces the popup state to true or false (instead of toggling it)\n\tfloating: if true, skips registering the popup, meaning that it will need manually clearing\n*/\nPopup.prototype.triggerPopup = function(options) {\n\t// Check if this popup is already active\n\tvar index = this.findPopup(options.title);\n\t// Compute the new state\n\tvar state = index === -1;\n\tif(options.force !== undefined) {\n\t\tstate = options.force;\n\t}\n\t// Show or cancel the popup according to the new state\n\tif(state) {\n\t\tthis.show(options);\n\t} else {\n\t\tthis.cancel(index);\n\t}\n};\n\nPopup.prototype.findPopup = function(title) {\n\tvar index = -1;\n\tfor(var t=0; t<this.popups.length; t++) {\n\t\tif(this.popups[t].title === title) {\n\t\t\tindex = t;\n\t\t}\n\t}\n\treturn index;\n};\n\nPopup.prototype.handleEvent = function(event) {\n\tif(event.type === \"click\") {\n\t\t// Find out what was clicked on\n\t\tvar info = this.popupInfo(event.target),\n\t\t\tcancelLevel = info.popupLevel - 1;\n\t\t// Don't remove the level that was clicked on if we clicked on a handle\n\t\tif(info.isHandle) {\n\t\t\tcancelLevel++;\n\t\t}\n\t\t// Cancel\n\t\tthis.cancel(cancelLevel);\n\t}\n};\n\n/*\nFind the popup level containing a DOM node. Returns:\npopupLevel: count of the number of nested popups containing the specified element\nisHandle: true if the specified element is within a popup handle\n*/\nPopup.prototype.popupInfo = function(domNode) {\n\tvar isHandle = false,\n\t\tpopupCount = 0,\n\t\tnode = domNode;\n\t// First check ancestors to see if we're within a popup handle\n\twhile(node) {\n\t\tif($tw.utils.hasClass(node,\"tc-popup-handle\")) {\n\t\t\tisHandle = true;\n\t\t\tpopupCount++;\n\t\t}\n\t\tif($tw.utils.hasClass(node,\"tc-popup-keep\")) {\n\t\t\tisHandle = true;\n\t\t}\n\t\tnode = node.parentNode;\n\t}\n\t// Then count the number of ancestor popups\n\tnode = domNode;\n\twhile(node) {\n\t\tif($tw.utils.hasClass(node,\"tc-popup\")) {\n\t\t\tpopupCount++;\n\t\t}\n\t\tnode = node.parentNode;\n\t}\n\tvar info = {\n\t\tpopupLevel: popupCount,\n\t\tisHandle: isHandle\n\t};\n\treturn info;\n};\n\n/*\nDisplay a popup by adding it to the stack\n*/\nPopup.prototype.show = function(options) {\n\t// Find out what was clicked on\n\tvar info = this.popupInfo(options.domNode);\n\t// Cancel any higher level popups\n\tthis.cancel(info.popupLevel);\n\n\t// Store the popup details if not already there\n\tif(!options.floating && this.findPopup(options.title) === -1) {\n\t\tthis.popups.push({\n\t\t\ttitle: options.title,\n\t\t\twiki: options.wiki,\n\t\t\tdomNode: options.domNode,\n\t\t\tnoStateReference: options.noStateReference\n\t\t});\n\t}\n\t// Set the state tiddler\n\tvar rect;\n\tif(options.domNodeRect) {\n\t\trect = options.domNodeRect;\n\t} else {\n\t\trect = {\n\t\t\tleft: options.domNode.offsetLeft,\n\t\t\ttop: options.domNode.offsetTop,\n\t\t\twidth: options.domNode.offsetWidth,\n\t\t\theight: options.domNode.offsetHeight\n\t\t};\n\t}\n\tvar popupRect = \"(\" + rect.left + \",\" + rect.top + \",\" + \n\t\t\t\trect.width + \",\" + rect.height + \")\";\n\tif(options.noStateReference) {\n\t\toptions.wiki.setText(options.title,\"text\",undefined,popupRect);\n\t} else {\n\t\toptions.wiki.setTextReference(options.title,popupRect);\n\t}\n\t// Add the click handler if we have any popups\n\tif(this.popups.length > 0) {\n\t\tthis.rootElement.addEventListener(\"click\",this,true);\t\t\n\t}\n};\n\n/*\nCancel all popups at or above a specified level or DOM node\nlevel: popup level to cancel (0 cancels all popups)\n*/\nPopup.prototype.cancel = function(level) {\n\tvar numPopups = this.popups.length;\n\tlevel = Math.max(0,Math.min(level,numPopups));\n\tfor(var t=level; t<numPopups; t++) {\n\t\tvar popup = this.popups.pop();\n\t\tif(popup.title) {\n\t\t\tif(popup.noStateReference) {\n\t\t\t\tpopup.wiki.deleteTiddler(popup.title);\n\t\t\t} else {\n\t\t\t\tpopup.wiki.deleteTiddler($tw.utils.parseTextReference(popup.title).title);\n \t\t}\n\t\t}\n\t}\n\tif(this.popups.length === 0) {\n\t\tthis.rootElement.removeEventListener(\"click\",this,false);\n\t}\n};\n\n/*\nReturns true if the specified title and text identifies an active popup\n*/\nPopup.prototype.readPopupState = function(text) {\n\tvar popupLocationRegExp = /^\\((-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+)\\)$/;\n\treturn popupLocationRegExp.test(text);\n};\n\nexports.Popup = Popup;\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/scroller.js": {
"title": "$:/core/modules/utils/dom/scroller.js",
"text": "/*\\\ntitle: $:/core/modules/utils/dom/scroller.js\ntype: application/javascript\nmodule-type: utils\n\nModule that creates a $tw.utils.Scroller object prototype that manages scrolling in the browser\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nEvent handler for when the `tm-scroll` event hits the document body\n*/\nvar PageScroller = function() {\n\tthis.idRequestFrame = null;\n\tthis.requestAnimationFrame = window.requestAnimationFrame ||\n\t\twindow.webkitRequestAnimationFrame ||\n\t\twindow.mozRequestAnimationFrame ||\n\t\tfunction(callback) {\n\t\t\treturn window.setTimeout(callback, 1000/60);\n\t\t};\n\tthis.cancelAnimationFrame = window.cancelAnimationFrame ||\n\t\twindow.webkitCancelAnimationFrame ||\n\t\twindow.webkitCancelRequestAnimationFrame ||\n\t\twindow.mozCancelAnimationFrame ||\n\t\twindow.mozCancelRequestAnimationFrame ||\n\t\tfunction(id) {\n\t\t\twindow.clearTimeout(id);\n\t\t};\n};\n\nPageScroller.prototype.isScrolling = function() {\n\treturn this.idRequestFrame !== null;\n}\n\nPageScroller.prototype.cancelScroll = function(srcWindow) {\n\tif(this.idRequestFrame) {\n\t\tthis.cancelAnimationFrame.call(srcWindow,this.idRequestFrame);\n\t\tthis.idRequestFrame = null;\n\t}\n};\n\n/*\nHandle an event\n*/\nPageScroller.prototype.handleEvent = function(event) {\n\tif(event.type === \"tm-scroll\") {\n\t\treturn this.scrollIntoView(event.target);\n\t}\n\treturn true;\n};\n\n/*\nHandle a scroll event hitting the page document\n*/\nPageScroller.prototype.scrollIntoView = function(element,callback) {\n\tvar self = this,\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t srcWindow = element ? element.ownerDocument.defaultView : window;\n\t// Now get ready to scroll the body\n\tthis.cancelScroll(srcWindow);\n\tthis.startTime = Date.now();\n\t// Get the height of any position:fixed toolbars\n\tvar toolbar = srcWindow.document.querySelector(\".tc-adjust-top-of-scroll\"),\n\t\toffset = 0;\n\tif(toolbar) {\n\t\toffset = toolbar.offsetHeight;\n\t}\n\t// Get the client bounds of the element and adjust by the scroll position\n\tvar getBounds = function() {\n\t\t\tvar clientBounds = typeof callback === 'function' ? callback() : element.getBoundingClientRect(),\n\t\t\t\tscrollPosition = $tw.utils.getScrollPosition(srcWindow);\n\t\t\treturn {\n\t\t\t\tleft: clientBounds.left + scrollPosition.x,\n\t\t\t\ttop: clientBounds.top + scrollPosition.y - offset,\n\t\t\t\twidth: clientBounds.width,\n\t\t\t\theight: clientBounds.height\n\t\t\t};\n\t\t},\n\t\t// We'll consider the horizontal and vertical scroll directions separately via this function\n\t\t// targetPos/targetSize - position and size of the target element\n\t\t// currentPos/currentSize - position and size of the current scroll viewport\n\t\t// returns: new position of the scroll viewport\n\t\tgetEndPos = function(targetPos,targetSize,currentPos,currentSize) {\n\t\t\tvar newPos = targetPos;\n\t\t\t// If we are scrolling within 50 pixels of the top/left then snap to zero\n\t\t\tif(newPos < 50) {\n\t\t\t\tnewPos = 0;\n\t\t\t}\n\t\t\treturn newPos;\n\t\t},\n\t\tdrawFrame = function drawFrame() {\n\t\t\tvar t;\n\t\t\tif(duration <= 0) {\n\t\t\t\tt = 1;\n\t\t\t} else {\n\t\t\t\tt = ((Date.now()) - self.startTime) / duration;\t\n\t\t\t}\n\t\t\tif(t >= 1) {\n\t\t\t\tself.cancelScroll(srcWindow);\n\t\t\t\tt = 1;\n\t\t\t}\n\t\t\tt = $tw.utils.slowInSlowOut(t);\n\t\t\tvar scrollPosition = $tw.utils.getScrollPosition(srcWindow),\n\t\t\t\tbounds = getBounds(),\n\t\t\t\tendX = getEndPos(bounds.left,bounds.width,scrollPosition.x,srcWindow.innerWidth),\n\t\t\t\tendY = getEndPos(bounds.top,bounds.height,scrollPosition.y,srcWindow.innerHeight);\n\t\t\tsrcWindow.scrollTo(scrollPosition.x + (endX - scrollPosition.x) * t,scrollPosition.y + (endY - scrollPosition.y) * t);\n\t\t\tif(t < 1) {\n\t\t\t\tself.idRequestFrame = self.requestAnimationFrame.call(srcWindow,drawFrame);\n\t\t\t}\n\t\t};\n\tdrawFrame();\n};\n\nexports.PageScroller = PageScroller;\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/edition-info.js": {
"title": "$:/core/modules/utils/edition-info.js",
"text": "/*\\\ntitle: $:/core/modules/utils/edition-info.js\ntype: application/javascript\nmodule-type: utils-node\n\nInformation about the available editions\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar fs = require(\"fs\"),\n\tpath = require(\"path\");\n\nvar editionInfo;\n\nexports.getEditionInfo = function() {\n\tif(!editionInfo) {\n\t\t// Enumerate the edition paths\n\t\tvar editionPaths = $tw.getLibraryItemSearchPaths($tw.config.editionsPath,$tw.config.editionsEnvVar);\n\t\teditionInfo = {};\n\t\tfor(var editionIndex=0; editionIndex<editionPaths.length; editionIndex++) {\n\t\t\tvar editionPath = editionPaths[editionIndex];\n\t\t\t// Enumerate the folders\n\t\t\tvar entries = fs.readdirSync(editionPath);\n\t\t\tfor(var entryIndex=0; entryIndex<entries.length; entryIndex++) {\n\t\t\t\tvar entry = entries[entryIndex];\n\t\t\t\t// Check if directories have a valid tiddlywiki.info\n\t\t\t\tif(!editionInfo[entry] && $tw.utils.isDirectory(path.resolve(editionPath,entry))) {\n\t\t\t\t\tvar info;\n\t\t\t\t\ttry {\n\t\t\t\t\t\tinfo = JSON.parse(fs.readFileSync(path.resolve(editionPath,entry,\"tiddlywiki.info\"),\"utf8\"));\n\t\t\t\t\t} catch(ex) {\n\t\t\t\t\t}\n\t\t\t\t\tif(info) {\n\t\t\t\t\t\teditionInfo[entry] = info;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\treturn editionInfo;\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils-node"
},
"$:/core/modules/utils/fakedom.js": {
"title": "$:/core/modules/utils/fakedom.js",
"text": "/*\\\ntitle: $:/core/modules/utils/fakedom.js\ntype: application/javascript\nmodule-type: global\n\nA barebones implementation of DOM interfaces needed by the rendering mechanism.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Sequence number used to enable us to track objects for testing\nvar sequenceNumber = null;\n\nvar bumpSequenceNumber = function(object) {\n\tif(sequenceNumber !== null) {\n\t\tobject.sequenceNumber = sequenceNumber++;\n\t}\n};\n\nvar TW_TextNode = function(text) {\n\tbumpSequenceNumber(this);\n\tthis.textContent = text + \"\";\n};\n\nObject.defineProperty(TW_TextNode.prototype, \"nodeType\", {\n\tget: function() {\n\t\treturn 3;\n\t}\n});\n\nObject.defineProperty(TW_TextNode.prototype, \"formattedTextContent\", {\n\tget: function() {\n\t\treturn this.textContent.replace(/(\\r?\\n)/g,\"\");\n\t}\n});\n\nvar TW_Element = function(tag,namespace) {\n\tbumpSequenceNumber(this);\n\tthis.isTiddlyWikiFakeDom = true;\n\tthis.tag = tag;\n\tthis.attributes = {};\n\tthis.isRaw = false;\n\tthis.children = [];\n\tthis._style = {};\n\tthis.namespaceURI = namespace || \"http://www.w3.org/1999/xhtml\";\n};\n\nObject.defineProperty(TW_Element.prototype, \"style\", {\n\tget: function() {\n\t\treturn this._style;\n\t},\n\tset: function(str) {\n\t\tvar self = this;\n\t\tstr = str || \"\";\n\t\t$tw.utils.each(str.split(\";\"),function(declaration) {\n\t\t\tvar parts = declaration.split(\":\"),\n\t\t\t\tname = $tw.utils.trim(parts[0]),\n\t\t\t\tvalue = $tw.utils.trim(parts[1]);\n\t\t\tif(name && value) {\n\t\t\t\tself._style[$tw.utils.convertStyleNameToPropertyName(name)] = value;\n\t\t\t}\n\t\t});\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"nodeType\", {\n\tget: function() {\n\t\treturn 1;\n\t}\n});\n\nTW_Element.prototype.getAttribute = function(name) {\n\tif(this.isRaw) {\n\t\tthrow \"Cannot getAttribute on a raw TW_Element\";\n\t}\n\treturn this.attributes[name];\n};\n\nTW_Element.prototype.setAttribute = function(name,value) {\n\tif(this.isRaw) {\n\t\tthrow \"Cannot setAttribute on a raw TW_Element\";\n\t}\n\tthis.attributes[name] = value + \"\";\n};\n\nTW_Element.prototype.setAttributeNS = function(namespace,name,value) {\n\tthis.setAttribute(name,value);\n};\n\nTW_Element.prototype.removeAttribute = function(name) {\n\tif(this.isRaw) {\n\t\tthrow \"Cannot removeAttribute on a raw TW_Element\";\n\t}\n\tif($tw.utils.hop(this.attributes,name)) {\n\t\tdelete this.attributes[name];\n\t}\n};\n\nTW_Element.prototype.appendChild = function(node) {\n\tthis.children.push(node);\n\tnode.parentNode = this;\n};\n\nTW_Element.prototype.insertBefore = function(node,nextSibling) {\n\tif(nextSibling) {\n\t\tvar p = this.children.indexOf(nextSibling);\n\t\tif(p !== -1) {\n\t\t\tthis.children.splice(p,0,node);\n\t\t\tnode.parentNode = this;\n\t\t} else {\n\t\t\tthis.appendChild(node);\n\t\t}\n\t} else {\n\t\tthis.appendChild(node);\n\t}\n};\n\nTW_Element.prototype.removeChild = function(node) {\n\tvar p = this.children.indexOf(node);\n\tif(p !== -1) {\n\t\tthis.children.splice(p,1);\n\t}\n};\n\nTW_Element.prototype.hasChildNodes = function() {\n\treturn !!this.children.length;\n};\n\nObject.defineProperty(TW_Element.prototype, \"childNodes\", {\n\tget: function() {\n\t\treturn this.children;\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"firstChild\", {\n\tget: function() {\n\t\treturn this.children[0];\n\t}\n});\n\nTW_Element.prototype.addEventListener = function(type,listener,useCapture) {\n\t// Do nothing\n};\n\nObject.defineProperty(TW_Element.prototype, \"tagName\", {\n\tget: function() {\n\t\treturn this.tag || \"\";\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"className\", {\n\tget: function() {\n\t\treturn this.attributes[\"class\"] || \"\";\n\t},\n\tset: function(value) {\n\t\tthis.attributes[\"class\"] = value + \"\";\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"value\", {\n\tget: function() {\n\t\treturn this.attributes.value || \"\";\n\t},\n\tset: function(value) {\n\t\tthis.attributes.value = value + \"\";\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"outerHTML\", {\n\tget: function() {\n\t\tvar output = [],attr,a,v;\n\t\toutput.push(\"<\",this.tag);\n\t\tif(this.attributes) {\n\t\t\tattr = [];\n\t\t\tfor(a in this.attributes) {\n\t\t\t\tattr.push(a);\n\t\t\t}\n\t\t\tattr.sort();\n\t\t\tfor(a=0; a<attr.length; a++) {\n\t\t\t\tv = this.attributes[attr[a]];\n\t\t\t\tif(v !== undefined) {\n\t\t\t\t\toutput.push(\" \",attr[a],\"=\\\"\",$tw.utils.htmlEncode(v),\"\\\"\");\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\tif(this._style) {\n\t\t\tvar style = [];\n\t\t\tfor(var s in this._style) {\n\t\t\t\tstyle.push($tw.utils.convertPropertyNameToStyleName(s) + \":\" + this._style[s] + \";\");\n\t\t\t}\n\t\t\tif(style.length > 0) {\n\t\t\t\toutput.push(\" style=\\\"\",style.join(\"\"),\"\\\"\");\n\t\t\t}\n\t\t}\n\t\toutput.push(\">\");\n\t\tif($tw.config.htmlVoidElements.indexOf(this.tag) === -1) {\n\t\t\toutput.push(this.innerHTML);\n\t\t\toutput.push(\"</\",this.tag,\">\");\n\t\t}\n\t\treturn output.join(\"\");\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"innerHTML\", {\n\tget: function() {\n\t\tif(this.isRaw) {\n\t\t\treturn this.rawHTML;\n\t\t} else {\n\t\t\tvar b = [];\n\t\t\t$tw.utils.each(this.children,function(node) {\n\t\t\t\tif(node instanceof TW_Element) {\n\t\t\t\t\tb.push(node.outerHTML);\n\t\t\t\t} else if(node instanceof TW_TextNode) {\n\t\t\t\t\tb.push($tw.utils.htmlEncode(node.textContent));\n\t\t\t\t}\n\t\t\t});\n\t\t\treturn b.join(\"\");\n\t\t}\n\t},\n\tset: function(value) {\n\t\tthis.isRaw = true;\n\t\tthis.rawHTML = value;\n\t\tthis.rawTextContent = null;\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"textInnerHTML\", {\n\tset: function(value) {\n\t\tif(this.isRaw) {\n\t\t\tthis.rawTextContent = value;\n\t\t} else {\n\t\t\tthrow \"Cannot set textInnerHTML of a non-raw TW_Element\";\n\t\t}\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"textContent\", {\n\tget: function() {\n\t\tif(this.isRaw) {\n\t\t\tif(this.rawTextContent === null) {\n\t\t\t\treturn \"\";\n\t\t\t} else {\n\t\t\t\treturn this.rawTextContent;\n\t\t\t}\n\t\t} else {\n\t\t\tvar b = [];\n\t\t\t$tw.utils.each(this.children,function(node) {\n\t\t\t\tb.push(node.textContent);\n\t\t\t});\n\t\t\treturn b.join(\"\");\n\t\t}\n\t},\n\tset: function(value) {\n\t\tthis.children = [new TW_TextNode(value)];\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"formattedTextContent\", {\n\tget: function() {\n\t\tif(this.isRaw) {\n\t\t\treturn \"\";\n\t\t} else {\n\t\t\tvar b = [],\n\t\t\t\tisBlock = $tw.config.htmlBlockElements.indexOf(this.tag) !== -1;\n\t\t\tif(isBlock) {\n\t\t\t\tb.push(\"\\n\");\n\t\t\t}\n\t\t\tif(this.tag === \"li\") {\n\t\t\t\tb.push(\"* \");\n\t\t\t}\n\t\t\t$tw.utils.each(this.children,function(node) {\n\t\t\t\tb.push(node.formattedTextContent);\n\t\t\t});\n\t\t\tif(isBlock) {\n\t\t\t\tb.push(\"\\n\");\n\t\t\t}\n\t\t\treturn b.join(\"\");\n\t\t}\n\t}\n});\n\nvar document = {\n\tsetSequenceNumber: function(value) {\n\t\tsequenceNumber = value;\n\t},\n\tcreateElementNS: function(namespace,tag) {\n\t\treturn new TW_Element(tag,namespace);\n\t},\n\tcreateElement: function(tag) {\n\t\treturn new TW_Element(tag);\n\t},\n\tcreateTextNode: function(text) {\n\t\treturn new TW_TextNode(text);\n\t},\n\tcompatMode: \"CSS1Compat\", // For KaTeX to know that we're not a browser in quirks mode\n\tisTiddlyWikiFakeDom: true\n};\n\nexports.fakeDocument = document;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/utils/filesystem.js": {
"title": "$:/core/modules/utils/filesystem.js",
"text": "/*\\\ntitle: $:/core/modules/utils/filesystem.js\ntype: application/javascript\nmodule-type: utils-node\n\nFile system utilities\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar fs = require(\"fs\"),\n\tpath = require(\"path\");\n\n/*\nRecursively (and synchronously) copy a directory and all its content\n*/\nexports.copyDirectory = function(srcPath,dstPath) {\n\t// Remove any trailing path separators\n\tsrcPath = $tw.utils.removeTrailingSeparator(srcPath);\n\tdstPath = $tw.utils.removeTrailingSeparator(dstPath);\n\t// Create the destination directory\n\tvar err = $tw.utils.createDirectory(dstPath);\n\tif(err) {\n\t\treturn err;\n\t}\n\t// Function to copy a folder full of files\n\tvar copy = function(srcPath,dstPath) {\n\t\tvar srcStats = fs.lstatSync(srcPath),\n\t\t\tdstExists = fs.existsSync(dstPath);\n\t\tif(srcStats.isFile()) {\n\t\t\t$tw.utils.copyFile(srcPath,dstPath);\n\t\t} else if(srcStats.isDirectory()) {\n\t\t\tvar items = fs.readdirSync(srcPath);\n\t\t\tfor(var t=0; t<items.length; t++) {\n\t\t\t\tvar item = items[t],\n\t\t\t\t\terr = copy(srcPath + path.sep + item,dstPath + path.sep + item);\n\t\t\t\tif(err) {\n\t\t\t\t\treturn err;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t};\n\tcopy(srcPath,dstPath);\n\treturn null;\n};\n\n/*\nCopy a file\n*/\nvar FILE_BUFFER_LENGTH = 64 * 1024,\n\tfileBuffer;\n\nexports.copyFile = function(srcPath,dstPath) {\n\t// Create buffer if required\n\tif(!fileBuffer) {\n\t\tfileBuffer = Buffer.alloc(FILE_BUFFER_LENGTH);\n\t}\n\t// Create any directories in the destination\n\t$tw.utils.createDirectory(path.dirname(dstPath));\n\t// Copy the file\n\tvar srcFile = fs.openSync(srcPath,\"r\"),\n\t\tdstFile = fs.openSync(dstPath,\"w\"),\n\t\tbytesRead = 1,\n\t\tpos = 0;\n\twhile (bytesRead > 0) {\n\t\tbytesRead = fs.readSync(srcFile,fileBuffer,0,FILE_BUFFER_LENGTH,pos);\n\t\tfs.writeSync(dstFile,fileBuffer,0,bytesRead);\n\t\tpos += bytesRead;\n\t}\n\tfs.closeSync(srcFile);\n\tfs.closeSync(dstFile);\n\treturn null;\n};\n\n/*\nRemove trailing path separator\n*/\nexports.removeTrailingSeparator = function(dirPath) {\n\tvar len = dirPath.length;\n\tif(dirPath.charAt(len-1) === path.sep) {\n\t\tdirPath = dirPath.substr(0,len-1);\n\t}\n\treturn dirPath;\n};\n\n/*\nRecursively create a directory\n*/\nexports.createDirectory = function(dirPath) {\n\tif(dirPath.substr(dirPath.length-1,1) !== path.sep) {\n\t\tdirPath = dirPath + path.sep;\n\t}\n\tvar pos = 1;\n\tpos = dirPath.indexOf(path.sep,pos);\n\twhile(pos !== -1) {\n\t\tvar subDirPath = dirPath.substr(0,pos);\n\t\tif(!$tw.utils.isDirectory(subDirPath)) {\n\t\t\ttry {\n\t\t\t\tfs.mkdirSync(subDirPath);\n\t\t\t} catch(e) {\n\t\t\t\treturn \"Error creating directory '\" + subDirPath + \"'\";\n\t\t\t}\n\t\t}\n\t\tpos = dirPath.indexOf(path.sep,pos + 1);\n\t}\n\treturn null;\n};\n\n/*\nRecursively create directories needed to contain a specified file\n*/\nexports.createFileDirectories = function(filePath) {\n\treturn $tw.utils.createDirectory(path.dirname(filePath));\n};\n\n/*\nRecursively delete a directory\n*/\nexports.deleteDirectory = function(dirPath) {\n\tif(fs.existsSync(dirPath)) {\n\t\tvar entries = fs.readdirSync(dirPath);\n\t\tfor(var entryIndex=0; entryIndex<entries.length; entryIndex++) {\n\t\t\tvar currPath = dirPath + path.sep + entries[entryIndex];\n\t\t\tif(fs.lstatSync(currPath).isDirectory()) {\n\t\t\t\t$tw.utils.deleteDirectory(currPath);\n\t\t\t} else {\n\t\t\t\tfs.unlinkSync(currPath);\n\t\t\t}\n\t\t}\n\tfs.rmdirSync(dirPath);\n\t}\n\treturn null;\n};\n\n/*\nCheck if a path identifies a directory\n*/\nexports.isDirectory = function(dirPath) {\n\treturn fs.existsSync(dirPath) && fs.statSync(dirPath).isDirectory();\n};\n\n/*\nCheck if a path identifies a directory that is empty\n*/\nexports.isDirectoryEmpty = function(dirPath) {\n\tif(!$tw.utils.isDirectory(dirPath)) {\n\t\treturn false;\n\t}\n\tvar files = fs.readdirSync(dirPath),\n\t\tempty = true;\n\t$tw.utils.each(files,function(file,index) {\n\t\tif(file.charAt(0) !== \".\") {\n\t\t\tempty = false;\n\t\t}\n\t});\n\treturn empty;\n};\n\n/*\nRecursively delete a tree of empty directories\n*/\nexports.deleteEmptyDirs = function(dirpath,callback) {\n\tvar self = this;\n\tfs.readdir(dirpath,function(err,files) {\n\t\tif(err) {\n\t\t\treturn callback(err);\n\t\t}\n\t\tif(files.length > 0) {\n\t\t\treturn callback(null);\n\t\t}\n\t\tfs.rmdir(dirpath,function(err) {\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tself.deleteEmptyDirs(path.dirname(dirpath),callback);\n\t\t});\n\t});\n};\n\n/*\nCreate a fileInfo object for saving a tiddler:\n\tfilepath: the absolute path to the file containing the tiddler\n\ttype: the type of the tiddler file (NOT the type of the tiddler)\n\thasMetaFile: true if the file also has a companion .meta file\nOptions include:\n\tdirectory: absolute path of root directory to which we are saving\n\tpathFilters: optional array of filters to be used to generate the base path\n\twiki: optional wiki for evaluating the pathFilters\n*/\nexports.generateTiddlerFileInfo = function(tiddler,options) {\n\tvar fileInfo = {};\n\t// Check if the tiddler has any unsafe fields that can't be expressed in a .tid or .meta file: containing control characters, or leading/trailing whitespace\n\tvar hasUnsafeFields = false;\n\t$tw.utils.each(tiddler.getFieldStrings(),function(value,fieldName) {\n\t\tif(fieldName !== \"text\") {\n\t\t\thasUnsafeFields = hasUnsafeFields || /[\\x00-\\x1F]/mg.test(value);\n\t\t\thasUnsafeFields = hasUnsafeFields || ($tw.utils.trim(value) !== value);\n\t\t}\n\t});\n\t// Check for field values \n\tif(hasUnsafeFields) {\n\t\t// Save as a JSON file\n\t\tfileInfo.type = \"application/json\";\n\t\tfileInfo.hasMetaFile = false;\n\t} else {\n\t\t// Save as a .tid or a text/binary file plus a .meta file\n\t\tvar tiddlerType = tiddler.fields.type || \"text/vnd.tiddlywiki\";\n\t\tif(tiddlerType === \"text/vnd.tiddlywiki\") {\n\t\t\t// Save as a .tid file\n\t\t\tfileInfo.type = \"application/x-tiddler\";\n\t\t\tfileInfo.hasMetaFile = false;\n\t\t} else {\n\t\t\t// Save as a text/binary file and a .meta file\n\t\t\tfileInfo.type = tiddlerType;\n\t\t\tfileInfo.hasMetaFile = true;\n\t\t}\n\t}\n\t// Take the file extension from the tiddler content type\n\tvar contentTypeInfo = $tw.config.contentTypeInfo[fileInfo.type] || {extension: \"\"};\n\t// Generate the filepath\n\tfileInfo.filepath = $tw.utils.generateTiddlerFilepath(tiddler.fields.title,{\n\t\textension: contentTypeInfo.extension,\n\t\tdirectory: options.directory,\n\t\tpathFilters: options.pathFilters,\n\t\twiki: options.wiki\n\t});\n\treturn fileInfo;\n};\n\n/*\nGenerate the filepath for saving a tiddler\nOptions include:\n\textension: file extension to be added the finished filepath\n\tdirectory: absolute path of root directory to which we are saving\n\tpathFilters: optional array of filters to be used to generate the base path\n\twiki: optional wiki for evaluating the pathFilters\n*/\nexports.generateTiddlerFilepath = function(title,options) {\n\tvar self = this,\n\t\tdirectory = options.directory || \"\",\n\t\textension = options.extension || \"\",\n\t\tfilepath;\n\t// Check if any of the pathFilters applies\n\tif(options.pathFilters && options.wiki) {\n\t\t$tw.utils.each(options.pathFilters,function(filter) {\n\t\t\tif(!filepath) {\n\t\t\t\tvar source = options.wiki.makeTiddlerIterator([title]),\n\t\t\t\t\tresult = options.wiki.filterTiddlers(filter,null,source);\n\t\t\t\tif(result.length > 0) {\n\t\t\t\t\tfilepath = result[0];\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\t// If not, generate a base pathname\n\tif(!filepath) {\n\t\tfilepath = title;\n\t\t// If the filepath already ends in the extension then remove it\n\t\tif(filepath.substring(filepath.length - extension.length) === extension) {\n\t\t\tfilepath = filepath.substring(0,filepath.length - extension.length);\n\t\t}\n\t\t// Remove any forward or backward slashes so we don't create directories\n\t\tfilepath = filepath.replace(/\\/|\\\\/g,\"_\");\n\t}\n\t// Don't let the filename start with a dot because such files are invisible on *nix\n\tfilepath = filepath.replace(/^\\./g,\"_\");\n\t// Remove any characters that can't be used in cross-platform filenames\n\tfilepath = $tw.utils.transliterate(filepath.replace(/<|>|\\:|\\\"|\\||\\?|\\*|\\^/g,\"_\"));\n\t// Truncate the filename if it is too long\n\tif(filepath.length > 200) {\n\t\tfilepath = filepath.substr(0,200);\n\t}\n\t// If the resulting filename is blank (eg because the title is just punctuation characters)\n\tif(!filepath) {\n\t\t// ...then just use the character codes of the title\n\t\tfilepath = \"\";\t\n\t\t$tw.utils.each(title.split(\"\"),function(char) {\n\t\t\tif(filepath) {\n\t\t\t\tfilepath += \"-\";\n\t\t\t}\n\t\t\tfilepath += char.charCodeAt(0).toString();\n\t\t});\n\t}\n\t// Add a uniquifier if the file already exists\n\tvar fullPath,\n\t\tcount = 0;\n\tdo {\n\t\tfullPath = path.resolve(directory,filepath + (count ? \"_\" + count : \"\") + extension);\n\t\tcount++;\n\t} while(fs.existsSync(fullPath));\n\t// Return the full path to the file\n\treturn fullPath;\n};\n\n/*\nSave a tiddler to a file described by the fileInfo:\n\tfilepath: the absolute path to the file containing the tiddler\n\ttype: the type of the tiddler file (NOT the type of the tiddler)\n\thasMetaFile: true if the file also has a companion .meta file\n*/\nexports.saveTiddlerToFile = function(tiddler,fileInfo,callback) {\n\t$tw.utils.createDirectory(path.dirname(fileInfo.filepath));\n\tif(fileInfo.hasMetaFile) {\n\t\t// Save the tiddler as a separate body and meta file\n\t\tvar typeInfo = $tw.config.contentTypeInfo[tiddler.fields.type || \"text/plain\"] || {encoding: \"utf8\"};\n\t\tfs.writeFile(fileInfo.filepath,tiddler.fields.text,typeInfo.encoding,function(err) {\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tfs.writeFile(fileInfo.filepath + \".meta\",tiddler.getFieldStringBlock({exclude: [\"text\",\"bag\"]}),\"utf8\",callback);\n\t\t});\n\t} else {\n\t\t// Save the tiddler as a self contained templated file\n\t\tif(fileInfo.type === \"application/x-tiddler\") {\n\t\t\tfs.writeFile(fileInfo.filepath,tiddler.getFieldStringBlock({exclude: [\"text\",\"bag\"]}) + (!!tiddler.fields.text ? \"\\n\\n\" + tiddler.fields.text : \"\"),\"utf8\",callback);\n\t\t} else {\n\t\t\tfs.writeFile(fileInfo.filepath,JSON.stringify([tiddler.getFieldStrings({exclude: [\"bag\"]})],null,$tw.config.preferences.jsonSpaces),\"utf8\",callback);\n\t\t}\n\t}\n};\n\n/*\nSave a tiddler to a file described by the fileInfo:\n\tfilepath: the absolute path to the file containing the tiddler\n\ttype: the type of the tiddler file (NOT the type of the tiddler)\n\thasMetaFile: true if the file also has a companion .meta file\n*/\nexports.saveTiddlerToFileSync = function(tiddler,fileInfo) {\n\t$tw.utils.createDirectory(path.dirname(fileInfo.filepath));\n\tif(fileInfo.hasMetaFile) {\n\t\t// Save the tiddler as a separate body and meta file\n\t\tvar typeInfo = $tw.config.contentTypeInfo[tiddler.fields.type || \"text/plain\"] || {encoding: \"utf8\"};\n\t\tfs.writeFileSync(fileInfo.filepath,tiddler.fields.text,typeInfo.encoding);\n\t\tfs.writeFileSync(fileInfo.filepath + \".meta\",tiddler.getFieldStringBlock({exclude: [\"text\",\"bag\"]}),\"utf8\");\n\t} else {\n\t\t// Save the tiddler as a self contained templated file\n\t\tif(fileInfo.type === \"application/x-tiddler\") {\n\t\t\tfs.writeFileSync(fileInfo.filepath,tiddler.getFieldStringBlock({exclude: [\"text\",\"bag\"]}) + (!!tiddler.fields.text ? \"\\n\\n\" + tiddler.fields.text : \"\"),\"utf8\");\n\t\t} else {\n\t\t\tfs.writeFileSync(fileInfo.filepath,JSON.stringify([tiddler.getFieldStrings({exclude: [\"bag\"]})],null,$tw.config.preferences.jsonSpaces),\"utf8\");\n\t\t}\n\t}\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils-node"
},
"$:/core/modules/utils/logger.js": {
"title": "$:/core/modules/utils/logger.js",
"text": "/*\\\ntitle: $:/core/modules/utils/logger.js\ntype: application/javascript\nmodule-type: utils\n\nA basic logging implementation\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar ALERT_TAG = \"$:/tags/Alert\";\n\n/*\nMake a new logger\n*/\nfunction Logger(componentName,options) {\n\toptions = options || {};\n\tthis.componentName = componentName || \"\";\n\tthis.colour = options.colour || \"white\";\n\tthis.enable = \"enable\" in options ? options.enable : true;\n\tthis.save = \"save\" in options ? options.save : true;\n\tthis.saveLimit = options.saveLimit || 100 * 1024;\n\tthis.saveBufferLogger = this;\n\tthis.buffer = \"\";\n\tthis.alertCount = 0;\n}\n\nLogger.prototype.setSaveBuffer = function(logger) {\n\tthis.saveBufferLogger = logger;\n};\n\n/*\nLog a message\n*/\nLogger.prototype.log = function(/* args */) {\n\tvar self = this;\n\tif(this.enable) {\n\t\tif(this.saveBufferLogger.save) {\n\t\t\tthis.saveBufferLogger.buffer += $tw.utils.formatDateString(new Date(),\"YYYY MM DD 0hh:0mm:0ss.0XXX\") + \":\";\n\t\t\t$tw.utils.each(Array.prototype.slice.call(arguments,0),function(arg,index) {\n\t\t\t\tself.saveBufferLogger.buffer += \" \" + arg;\n\t\t\t});\n\t\t\tthis.saveBufferLogger.buffer += \"\\n\";\n\t\t\tthis.saveBufferLogger.buffer = this.saveBufferLogger.buffer.slice(-this.saveBufferLogger.saveLimit);\t\t\t\n\t\t}\n\t\tif(console !== undefined && console.log !== undefined) {\n\t\t\treturn Function.apply.call(console.log, console, [$tw.utils.terminalColour(this.colour),this.componentName + \":\"].concat(Array.prototype.slice.call(arguments,0)).concat($tw.utils.terminalColour()));\n\t\t}\n\t} \n};\n\n/*\nRead the message buffer\n*/\nLogger.prototype.getBuffer = function() {\n\treturn this.saveBufferLogger.buffer;\n};\n\n/*\nLog a structure as a table\n*/\nLogger.prototype.table = function(value) {\n\t(console.table || console.log)(value);\n};\n\n/*\nAlert a message\n*/\nLogger.prototype.alert = function(/* args */) {\n\tif(this.enable) {\n\t\t// Prepare the text of the alert\n\t\tvar text = Array.prototype.join.call(arguments,\" \");\n\t\t// Create alert tiddlers in the browser\n\t\tif($tw.browser) {\n\t\t\t// Check if there is an existing alert with the same text and the same component\n\t\t\tvar existingAlerts = $tw.wiki.getTiddlersWithTag(ALERT_TAG),\n\t\t\t\talertFields,\n\t\t\t\texistingCount,\n\t\t\t\tself = this;\n\t\t\t$tw.utils.each(existingAlerts,function(title) {\n\t\t\t\tvar tiddler = $tw.wiki.getTiddler(title);\n\t\t\t\tif(tiddler.fields.text === text && tiddler.fields.component === self.componentName && tiddler.fields.modified && (!alertFields || tiddler.fields.modified < alertFields.modified)) {\n\t\t\t\t\t\talertFields = $tw.utils.extend({},tiddler.fields);\n\t\t\t\t}\n\t\t\t});\n\t\t\tif(alertFields) {\n\t\t\t\texistingCount = alertFields.count || 1;\n\t\t\t} else {\n\t\t\t\talertFields = {\n\t\t\t\t\ttitle: $tw.wiki.generateNewTitle(\"$:/temp/alerts/alert\",{prefix: \"\"}),\n\t\t\t\t\ttext: text,\n\t\t\t\t\ttags: [ALERT_TAG],\n\t\t\t\t\tcomponent: this.componentName\n\t\t\t\t};\n\t\t\t\texistingCount = 0;\n\t\t\t\tthis.alertCount += 1;\n\t\t\t}\n\t\t\talertFields.modified = new Date();\n\t\t\tif(++existingCount > 1) {\n\t\t\t\talertFields.count = existingCount;\n\t\t\t} else {\n\t\t\t\talertFields.count = undefined;\n\t\t\t}\n\t\t\t$tw.wiki.addTiddler(new $tw.Tiddler(alertFields));\n\t\t\t// Log the alert as well\n\t\t\tthis.log.apply(this,Array.prototype.slice.call(arguments,0));\n\t\t} else {\n\t\t\t// Print an orange message to the console if not in the browser\n\t\t\tconsole.error(\"\\x1b[1;33m\" + text + \"\\x1b[0m\");\n\t\t}\t\t\n\t}\n};\n\n/*\nClear outstanding alerts\n*/\nLogger.prototype.clearAlerts = function() {\n\tvar self = this;\n\tif($tw.browser && this.alertCount > 0) {\n\t\t$tw.utils.each($tw.wiki.getTiddlersWithTag(ALERT_TAG),function(title) {\n\t\t\tvar tiddler = $tw.wiki.getTiddler(title);\n\t\t\tif(tiddler.fields.component === self.componentName) {\n\t\t\t\t$tw.wiki.deleteTiddler(title);\n\t\t\t}\n\t\t});\n\t\tthis.alertCount = 0;\n\t}\n};\n\nexports.Logger = Logger;\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/parsetree.js": {
"title": "$:/core/modules/utils/parsetree.js",
"text": "/*\\\ntitle: $:/core/modules/utils/parsetree.js\ntype: application/javascript\nmodule-type: utils\n\nParse tree utility functions.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.addAttributeToParseTreeNode = function(node,name,value) {\n\tnode.attributes = node.attributes || {};\n\tnode.attributes[name] = {type: \"string\", value: value};\n};\n\nexports.getAttributeValueFromParseTreeNode = function(node,name,defaultValue) {\n\tif(node.attributes && node.attributes[name] && node.attributes[name].value !== undefined) {\n\t\treturn node.attributes[name].value;\n\t}\n\treturn defaultValue;\n};\n\nexports.addClassToParseTreeNode = function(node,classString) {\n\tvar classes = [];\n\tnode.attributes = node.attributes || {};\n\tnode.attributes[\"class\"] = node.attributes[\"class\"] || {type: \"string\", value: \"\"};\n\tif(node.attributes[\"class\"].type === \"string\") {\n\t\tif(node.attributes[\"class\"].value !== \"\") {\n\t\t\tclasses = node.attributes[\"class\"].value.split(\" \");\n\t\t}\n\t\tif(classString !== \"\") {\n\t\t\t$tw.utils.pushTop(classes,classString.split(\" \"));\n\t\t}\n\t\tnode.attributes[\"class\"].value = classes.join(\" \");\n\t}\n};\n\nexports.addStyleToParseTreeNode = function(node,name,value) {\n\t\tnode.attributes = node.attributes || {};\n\t\tnode.attributes.style = node.attributes.style || {type: \"string\", value: \"\"};\n\t\tif(node.attributes.style.type === \"string\") {\n\t\t\tnode.attributes.style.value += name + \":\" + value + \";\";\n\t\t}\n};\n\nexports.findParseTreeNode = function(nodeArray,search) {\n\tfor(var t=0; t<nodeArray.length; t++) {\n\t\tif(nodeArray[t].type === search.type && nodeArray[t].tag === search.tag) {\n\t\t\treturn nodeArray[t];\n\t\t}\n\t}\n\treturn undefined;\n};\n\n/*\nHelper to get the text of a parse tree node or array of nodes\n*/\nexports.getParseTreeText = function getParseTreeText(tree) {\n\tvar output = [];\n\tif($tw.utils.isArray(tree)) {\n\t\t$tw.utils.each(tree,function(node) {\n\t\t\toutput.push(getParseTreeText(node));\n\t\t});\n\t} else {\n\t\tif(tree.type === \"text\") {\n\t\t\toutput.push(tree.text);\n\t\t}\n\t\tif(tree.children) {\n\t\t\treturn getParseTreeText(tree.children);\n\t\t}\n\t}\n\treturn output.join(\"\");\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/performance.js": {
"title": "$:/core/modules/utils/performance.js",
"text": "/*\\\ntitle: $:/core/modules/utils/performance.js\ntype: application/javascript\nmodule-type: global\n\nPerformance measurement.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nfunction Performance(enabled) {\n\tthis.enabled = !!enabled;\n\tthis.measures = {}; // Hashmap by measurement name of {time:, invocations:}\n\tthis.logger = new $tw.utils.Logger(\"performance\");\n\tthis.showGreeting();\n}\n\nPerformance.prototype.showGreeting = function() {\n\tif($tw.browser) {\n\t\tthis.logger.log(\"Execute $tw.perf.log(); to see filter execution timings\");\t\t\n\t}\n};\n\n/*\nWrap performance reporting around a top level function\n*/\nPerformance.prototype.report = function(name,fn) {\n\tvar self = this;\n\tif(this.enabled) {\n\t\treturn function() {\n\t\t\tvar startTime = $tw.utils.timer(),\n\t\t\t\tresult = fn.apply(this,arguments);\n\t\t\tself.logger.log(name + \": \" + $tw.utils.timer(startTime).toFixed(2) + \"ms\");\n\t\t\treturn result;\n\t\t};\n\t} else {\n\t\treturn fn;\n\t}\n};\n\nPerformance.prototype.log = function() {\n\tvar self = this,\n\t\ttotalTime = 0,\n\t\torderedMeasures = Object.keys(this.measures).sort(function(a,b) {\n\t\t\tif(self.measures[a].time > self.measures[b].time) {\n\t\t\t\treturn -1;\n\t\t\t} else if (self.measures[a].time < self.measures[b].time) {\n\t\t\t\treturn + 1;\n\t\t\t} else {\n\t\t\t\treturn 0;\n\t\t\t}\n\t\t});\n\t$tw.utils.each(orderedMeasures,function(name) {\n\t\ttotalTime += self.measures[name].time;\n\t});\n\tvar results = []\n\t$tw.utils.each(orderedMeasures,function(name) {\n\t\tvar measure = self.measures[name];\n\t\tresults.push({name: name,invocations: measure.invocations, avgTime: measure.time / measure.invocations, totalTime: measure.time, percentTime: (measure.time / totalTime) * 100})\n\t});\n\tself.logger.table(results);\n};\n\n/*\nWrap performance measurements around a subfunction\n*/\nPerformance.prototype.measure = function(name,fn) {\n\tvar self = this;\n\tif(this.enabled) {\n\t\treturn function() {\n\t\t\tvar startTime = $tw.utils.timer(),\n\t\t\t\tresult = fn.apply(this,arguments);\n\t\t\tif(!(name in self.measures)) {\n\t\t\t\tself.measures[name] = {time: 0, invocations: 0};\n\t\t\t}\n\t\t\tself.measures[name].time += $tw.utils.timer(startTime);\n\t\t\tself.measures[name].invocations++;\n\t\t\treturn result;\n\t\t};\n\t} else {\n\t\treturn fn;\n\t}\n};\n\nexports.Performance = Performance;\n\n})();\n",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/utils/pluginmaker.js": {
"title": "$:/core/modules/utils/pluginmaker.js",
"text": "/*\\\ntitle: $:/core/modules/utils/pluginmaker.js\ntype: application/javascript\nmodule-type: utils\n\nA quick and dirty way to pack up plugins within the browser.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nRepack a plugin, and then delete any non-shadow payload tiddlers\n*/\nexports.repackPlugin = function(title,additionalTiddlers,excludeTiddlers) {\n\tadditionalTiddlers = additionalTiddlers || [];\n\texcludeTiddlers = excludeTiddlers || [];\n\t// Get the plugin tiddler\n\tvar pluginTiddler = $tw.wiki.getTiddler(title);\n\tif(!pluginTiddler) {\n\t\tthrow \"No such tiddler as \" + title;\n\t}\n\t// Extract the JSON\n\tvar jsonPluginTiddler;\n\ttry {\n\t\tjsonPluginTiddler = JSON.parse(pluginTiddler.fields.text);\n\t} catch(e) {\n\t\tthrow \"Cannot parse plugin tiddler \" + title + \"\\n\" + $tw.language.getString(\"Error/Caption\") + \": \" + e;\n\t}\n\t// Get the list of tiddlers\n\tvar tiddlers = Object.keys(jsonPluginTiddler.tiddlers);\n\t// Add the additional tiddlers\n\t$tw.utils.pushTop(tiddlers,additionalTiddlers);\n\t// Remove any excluded tiddlers\n\tfor(var t=tiddlers.length-1; t>=0; t--) {\n\t\tif(excludeTiddlers.indexOf(tiddlers[t]) !== -1) {\n\t\t\ttiddlers.splice(t,1);\n\t\t}\n\t}\n\t// Pack up the tiddlers into a block of JSON\n\tvar plugins = {};\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = $tw.wiki.getTiddler(title),\n\t\t\tfields = {};\n\t\t$tw.utils.each(tiddler.fields,function (value,name) {\n\t\t\tfields[name] = tiddler.getFieldString(name);\n\t\t});\n\t\tplugins[title] = fields;\n\t});\n\t// Retrieve and bump the version number\n\tvar pluginVersion = $tw.utils.parseVersion(pluginTiddler.getFieldString(\"version\") || \"0.0.0\") || {\n\t\t\tmajor: \"0\",\n\t\t\tminor: \"0\",\n\t\t\tpatch: \"0\"\n\t\t};\n\tpluginVersion.patch++;\n\tvar version = pluginVersion.major + \".\" + pluginVersion.minor + \".\" + pluginVersion.patch;\n\tif(pluginVersion.prerelease) {\n\t\tversion += \"-\" + pluginVersion.prerelease;\n\t}\n\tif(pluginVersion.build) {\n\t\tversion += \"+\" + pluginVersion.build;\n\t}\n\t// Save the tiddler\n\t$tw.wiki.addTiddler(new $tw.Tiddler(pluginTiddler,{text: JSON.stringify({tiddlers: plugins},null,4), version: version}));\n\t// Delete any non-shadow constituent tiddlers\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tif($tw.wiki.tiddlerExists(title)) {\n\t\t\t$tw.wiki.deleteTiddler(title);\n\t\t}\n\t});\n\t// Trigger an autosave\n\t$tw.rootWidget.dispatchEvent({type: \"tm-auto-save-wiki\"});\n\t// Return a heartwarming confirmation\n\treturn \"Plugin \" + title + \" successfully saved\";\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/transliterate.js": {
"title": "$:/core/modules/utils/transliterate.js",
"text": "/*\\\ntitle: $:/core/modules/utils/transliterate.js\ntype: application/javascript\nmodule-type: utils\n\nTransliteration static utility functions.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nTransliterate string to ASCII\n\n(Some pairs taken from http://semplicewebsites.com/removing-accents-javascript)\n*/\nexports.transliterationPairs = {\n\t\"Á\":\"A\",\n\t\"Ă\":\"A\",\n\t\"Ắ\":\"A\",\n\t\"Ặ\":\"A\",\n\t\"Ằ\":\"A\",\n\t\"Ẳ\":\"A\",\n\t\"Ẵ\":\"A\",\n\t\"Ǎ\":\"A\",\n\t\"Â\":\"A\",\n\t\"Ấ\":\"A\",\n\t\"Ậ\":\"A\",\n\t\"Ầ\":\"A\",\n\t\"Ẩ\":\"A\",\n\t\"Ẫ\":\"A\",\n\t\"Ä\":\"A\",\n\t\"Ǟ\":\"A\",\n\t\"Ȧ\":\"A\",\n\t\"Ǡ\":\"A\",\n\t\"Ạ\":\"A\",\n\t\"Ȁ\":\"A\",\n\t\"À\":\"A\",\n\t\"Ả\":\"A\",\n\t\"Ȃ\":\"A\",\n\t\"Ā\":\"A\",\n\t\"Ą\":\"A\",\n\t\"Å\":\"A\",\n\t\"Ǻ\":\"A\",\n\t\"Ḁ\":\"A\",\n\t\"Ⱥ\":\"A\",\n\t\"Ã\":\"A\",\n\t\"Ꜳ\":\"AA\",\n\t\"Æ\":\"AE\",\n\t\"Ǽ\":\"AE\",\n\t\"Ǣ\":\"AE\",\n\t\"Ꜵ\":\"AO\",\n\t\"Ꜷ\":\"AU\",\n\t\"Ꜹ\":\"AV\",\n\t\"Ꜻ\":\"AV\",\n\t\"Ꜽ\":\"AY\",\n\t\"Ḃ\":\"B\",\n\t\"Ḅ\":\"B\",\n\t\"Ɓ\":\"B\",\n\t\"Ḇ\":\"B\",\n\t\"Ƀ\":\"B\",\n\t\"Ƃ\":\"B\",\n\t\"Ć\":\"C\",\n\t\"Č\":\"C\",\n\t\"Ç\":\"C\",\n\t\"Ḉ\":\"C\",\n\t\"Ĉ\":\"C\",\n\t\"Ċ\":\"C\",\n\t\"Ƈ\":\"C\",\n\t\"Ȼ\":\"C\",\n\t\"Ď\":\"D\",\n\t\"Ḑ\":\"D\",\n\t\"Ḓ\":\"D\",\n\t\"Ḋ\":\"D\",\n\t\"Ḍ\":\"D\",\n\t\"Ɗ\":\"D\",\n\t\"Ḏ\":\"D\",\n\t\"Dz\":\"D\",\n\t\"Dž\":\"D\",\n\t\"Đ\":\"D\",\n\t\"Ƌ\":\"D\",\n\t\"DZ\":\"DZ\",\n\t\"DŽ\":\"DZ\",\n\t\"É\":\"E\",\n\t\"Ĕ\":\"E\",\n\t\"Ě\":\"E\",\n\t\"Ȩ\":\"E\",\n\t\"Ḝ\":\"E\",\n\t\"Ê\":\"E\",\n\t\"Ế\":\"E\",\n\t\"Ệ\":\"E\",\n\t\"Ề\":\"E\",\n\t\"Ể\":\"E\",\n\t\"Ễ\":\"E\",\n\t\"Ḙ\":\"E\",\n\t\"Ë\":\"E\",\n\t\"Ė\":\"E\",\n\t\"Ẹ\":\"E\",\n\t\"Ȅ\":\"E\",\n\t\"È\":\"E\",\n\t\"Ẻ\":\"E\",\n\t\"Ȇ\":\"E\",\n\t\"Ē\":\"E\",\n\t\"Ḗ\":\"E\",\n\t\"Ḕ\":\"E\",\n\t\"Ę\":\"E\",\n\t\"Ɇ\":\"E\",\n\t\"Ẽ\":\"E\",\n\t\"Ḛ\":\"E\",\n\t\"Ꝫ\":\"ET\",\n\t\"Ḟ\":\"F\",\n\t\"Ƒ\":\"F\",\n\t\"Ǵ\":\"G\",\n\t\"Ğ\":\"G\",\n\t\"Ǧ\":\"G\",\n\t\"Ģ\":\"G\",\n\t\"Ĝ\":\"G\",\n\t\"Ġ\":\"G\",\n\t\"Ɠ\":\"G\",\n\t\"Ḡ\":\"G\",\n\t\"Ǥ\":\"G\",\n\t\"Ḫ\":\"H\",\n\t\"Ȟ\":\"H\",\n\t\"Ḩ\":\"H\",\n\t\"Ĥ\":\"H\",\n\t\"Ⱨ\":\"H\",\n\t\"Ḧ\":\"H\",\n\t\"Ḣ\":\"H\",\n\t\"Ḥ\":\"H\",\n\t\"Ħ\":\"H\",\n\t\"Í\":\"I\",\n\t\"Ĭ\":\"I\",\n\t\"Ǐ\":\"I\",\n\t\"Î\":\"I\",\n\t\"Ï\":\"I\",\n\t\"Ḯ\":\"I\",\n\t\"İ\":\"I\",\n\t\"Ị\":\"I\",\n\t\"Ȉ\":\"I\",\n\t\"Ì\":\"I\",\n\t\"Ỉ\":\"I\",\n\t\"Ȋ\":\"I\",\n\t\"Ī\":\"I\",\n\t\"Į\":\"I\",\n\t\"Ɨ\":\"I\",\n\t\"Ĩ\":\"I\",\n\t\"Ḭ\":\"I\",\n\t\"Ꝺ\":\"D\",\n\t\"Ꝼ\":\"F\",\n\t\"Ᵹ\":\"G\",\n\t\"Ꞃ\":\"R\",\n\t\"Ꞅ\":\"S\",\n\t\"Ꞇ\":\"T\",\n\t\"Ꝭ\":\"IS\",\n\t\"Ĵ\":\"J\",\n\t\"Ɉ\":\"J\",\n\t\"Ḱ\":\"K\",\n\t\"Ǩ\":\"K\",\n\t\"Ķ\":\"K\",\n\t\"Ⱪ\":\"K\",\n\t\"Ꝃ\":\"K\",\n\t\"Ḳ\":\"K\",\n\t\"Ƙ\":\"K\",\n\t\"Ḵ\":\"K\",\n\t\"Ꝁ\":\"K\",\n\t\"Ꝅ\":\"K\",\n\t\"Ĺ\":\"L\",\n\t\"Ƚ\":\"L\",\n\t\"Ľ\":\"L\",\n\t\"Ļ\":\"L\",\n\t\"Ḽ\":\"L\",\n\t\"Ḷ\":\"L\",\n\t\"Ḹ\":\"L\",\n\t\"Ⱡ\":\"L\",\n\t\"Ꝉ\":\"L\",\n\t\"Ḻ\":\"L\",\n\t\"Ŀ\":\"L\",\n\t\"Ɫ\":\"L\",\n\t\"Lj\":\"L\",\n\t\"Ł\":\"L\",\n\t\"LJ\":\"LJ\",\n\t\"Ḿ\":\"M\",\n\t\"Ṁ\":\"M\",\n\t\"Ṃ\":\"M\",\n\t\"Ɱ\":\"M\",\n\t\"Ń\":\"N\",\n\t\"Ň\":\"N\",\n\t\"Ņ\":\"N\",\n\t\"Ṋ\":\"N\",\n\t\"Ṅ\":\"N\",\n\t\"Ṇ\":\"N\",\n\t\"Ǹ\":\"N\",\n\t\"Ɲ\":\"N\",\n\t\"Ṉ\":\"N\",\n\t\"Ƞ\":\"N\",\n\t\"Nj\":\"N\",\n\t\"Ñ\":\"N\",\n\t\"NJ\":\"NJ\",\n\t\"Ó\":\"O\",\n\t\"Ŏ\":\"O\",\n\t\"Ǒ\":\"O\",\n\t\"Ô\":\"O\",\n\t\"Ố\":\"O\",\n\t\"Ộ\":\"O\",\n\t\"Ồ\":\"O\",\n\t\"Ổ\":\"O\",\n\t\"Ỗ\":\"O\",\n\t\"Ö\":\"O\",\n\t\"Ȫ\":\"O\",\n\t\"Ȯ\":\"O\",\n\t\"Ȱ\":\"O\",\n\t\"Ọ\":\"O\",\n\t\"Ő\":\"O\",\n\t\"Ȍ\":\"O\",\n\t\"Ò\":\"O\",\n\t\"Ỏ\":\"O\",\n\t\"Ơ\":\"O\",\n\t\"Ớ\":\"O\",\n\t\"Ợ\":\"O\",\n\t\"Ờ\":\"O\",\n\t\"Ở\":\"O\",\n\t\"Ỡ\":\"O\",\n\t\"Ȏ\":\"O\",\n\t\"Ꝋ\":\"O\",\n\t\"Ꝍ\":\"O\",\n\t\"Ō\":\"O\",\n\t\"Ṓ\":\"O\",\n\t\"Ṑ\":\"O\",\n\t\"Ɵ\":\"O\",\n\t\"Ǫ\":\"O\",\n\t\"Ǭ\":\"O\",\n\t\"Ø\":\"O\",\n\t\"Ǿ\":\"O\",\n\t\"Õ\":\"O\",\n\t\"Ṍ\":\"O\",\n\t\"Ṏ\":\"O\",\n\t\"Ȭ\":\"O\",\n\t\"Ƣ\":\"OI\",\n\t\"Ꝏ\":\"OO\",\n\t\"Ɛ\":\"E\",\n\t\"Ɔ\":\"O\",\n\t\"Ȣ\":\"OU\",\n\t\"Ṕ\":\"P\",\n\t\"Ṗ\":\"P\",\n\t\"Ꝓ\":\"P\",\n\t\"Ƥ\":\"P\",\n\t\"Ꝕ\":\"P\",\n\t\"Ᵽ\":\"P\",\n\t\"Ꝑ\":\"P\",\n\t\"Ꝙ\":\"Q\",\n\t\"Ꝗ\":\"Q\",\n\t\"Ŕ\":\"R\",\n\t\"Ř\":\"R\",\n\t\"Ŗ\":\"R\",\n\t\"Ṙ\":\"R\",\n\t\"Ṛ\":\"R\",\n\t\"Ṝ\":\"R\",\n\t\"Ȑ\":\"R\",\n\t\"Ȓ\":\"R\",\n\t\"Ṟ\":\"R\",\n\t\"Ɍ\":\"R\",\n\t\"Ɽ\":\"R\",\n\t\"Ꜿ\":\"C\",\n\t\"Ǝ\":\"E\",\n\t\"Ś\":\"S\",\n\t\"Ṥ\":\"S\",\n\t\"Š\":\"S\",\n\t\"Ṧ\":\"S\",\n\t\"Ş\":\"S\",\n\t\"Ŝ\":\"S\",\n\t\"Ș\":\"S\",\n\t\"Ṡ\":\"S\",\n\t\"Ṣ\":\"S\",\n\t\"Ṩ\":\"S\",\n\t\"Ť\":\"T\",\n\t\"Ţ\":\"T\",\n\t\"Ṱ\":\"T\",\n\t\"Ț\":\"T\",\n\t\"Ⱦ\":\"T\",\n\t\"Ṫ\":\"T\",\n\t\"Ṭ\":\"T\",\n\t\"Ƭ\":\"T\",\n\t\"Ṯ\":\"T\",\n\t\"Ʈ\":\"T\",\n\t\"Ŧ\":\"T\",\n\t\"Ɐ\":\"A\",\n\t\"Ꞁ\":\"L\",\n\t\"Ɯ\":\"M\",\n\t\"Ʌ\":\"V\",\n\t\"Ꜩ\":\"TZ\",\n\t\"Ú\":\"U\",\n\t\"Ŭ\":\"U\",\n\t\"Ǔ\":\"U\",\n\t\"Û\":\"U\",\n\t\"Ṷ\":\"U\",\n\t\"Ü\":\"U\",\n\t\"Ǘ\":\"U\",\n\t\"Ǚ\":\"U\",\n\t\"Ǜ\":\"U\",\n\t\"Ǖ\":\"U\",\n\t\"Ṳ\":\"U\",\n\t\"Ụ\":\"U\",\n\t\"Ű\":\"U\",\n\t\"Ȕ\":\"U\",\n\t\"Ù\":\"U\",\n\t\"Ủ\":\"U\",\n\t\"Ư\":\"U\",\n\t\"Ứ\":\"U\",\n\t\"Ự\":\"U\",\n\t\"Ừ\":\"U\",\n\t\"Ử\":\"U\",\n\t\"Ữ\":\"U\",\n\t\"Ȗ\":\"U\",\n\t\"Ū\":\"U\",\n\t\"Ṻ\":\"U\",\n\t\"Ų\":\"U\",\n\t\"Ů\":\"U\",\n\t\"Ũ\":\"U\",\n\t\"Ṹ\":\"U\",\n\t\"Ṵ\":\"U\",\n\t\"Ꝟ\":\"V\",\n\t\"Ṿ\":\"V\",\n\t\"Ʋ\":\"V\",\n\t\"Ṽ\":\"V\",\n\t\"Ꝡ\":\"VY\",\n\t\"Ẃ\":\"W\",\n\t\"Ŵ\":\"W\",\n\t\"Ẅ\":\"W\",\n\t\"Ẇ\":\"W\",\n\t\"Ẉ\":\"W\",\n\t\"Ẁ\":\"W\",\n\t\"Ⱳ\":\"W\",\n\t\"Ẍ\":\"X\",\n\t\"Ẋ\":\"X\",\n\t\"Ý\":\"Y\",\n\t\"Ŷ\":\"Y\",\n\t\"Ÿ\":\"Y\",\n\t\"Ẏ\":\"Y\",\n\t\"Ỵ\":\"Y\",\n\t\"Ỳ\":\"Y\",\n\t\"Ƴ\":\"Y\",\n\t\"Ỷ\":\"Y\",\n\t\"Ỿ\":\"Y\",\n\t\"Ȳ\":\"Y\",\n\t\"Ɏ\":\"Y\",\n\t\"Ỹ\":\"Y\",\n\t\"Ź\":\"Z\",\n\t\"Ž\":\"Z\",\n\t\"Ẑ\":\"Z\",\n\t\"Ⱬ\":\"Z\",\n\t\"Ż\":\"Z\",\n\t\"Ẓ\":\"Z\",\n\t\"Ȥ\":\"Z\",\n\t\"Ẕ\":\"Z\",\n\t\"Ƶ\":\"Z\",\n\t\"IJ\":\"IJ\",\n\t\"Œ\":\"OE\",\n\t\"ᴀ\":\"A\",\n\t\"ᴁ\":\"AE\",\n\t\"ʙ\":\"B\",\n\t\"ᴃ\":\"B\",\n\t\"ᴄ\":\"C\",\n\t\"ᴅ\":\"D\",\n\t\"ᴇ\":\"E\",\n\t\"ꜰ\":\"F\",\n\t\"ɢ\":\"G\",\n\t\"ʛ\":\"G\",\n\t\"ʜ\":\"H\",\n\t\"ɪ\":\"I\",\n\t\"ʁ\":\"R\",\n\t\"ᴊ\":\"J\",\n\t\"ᴋ\":\"K\",\n\t\"ʟ\":\"L\",\n\t\"ᴌ\":\"L\",\n\t\"ᴍ\":\"M\",\n\t\"ɴ\":\"N\",\n\t\"ᴏ\":\"O\",\n\t\"ɶ\":\"OE\",\n\t\"ᴐ\":\"O\",\n\t\"ᴕ\":\"OU\",\n\t\"ᴘ\":\"P\",\n\t\"ʀ\":\"R\",\n\t\"ᴎ\":\"N\",\n\t\"ᴙ\":\"R\",\n\t\"ꜱ\":\"S\",\n\t\"ᴛ\":\"T\",\n\t\"ⱻ\":\"E\",\n\t\"ᴚ\":\"R\",\n\t\"ᴜ\":\"U\",\n\t\"ᴠ\":\"V\",\n\t\"ᴡ\":\"W\",\n\t\"ʏ\":\"Y\",\n\t\"ᴢ\":\"Z\",\n\t\"á\":\"a\",\n\t\"ă\":\"a\",\n\t\"ắ\":\"a\",\n\t\"ặ\":\"a\",\n\t\"ằ\":\"a\",\n\t\"ẳ\":\"a\",\n\t\"ẵ\":\"a\",\n\t\"ǎ\":\"a\",\n\t\"â\":\"a\",\n\t\"ấ\":\"a\",\n\t\"ậ\":\"a\",\n\t\"ầ\":\"a\",\n\t\"ẩ\":\"a\",\n\t\"ẫ\":\"a\",\n\t\"ä\":\"a\",\n\t\"ǟ\":\"a\",\n\t\"ȧ\":\"a\",\n\t\"ǡ\":\"a\",\n\t\"ạ\":\"a\",\n\t\"ȁ\":\"a\",\n\t\"à\":\"a\",\n\t\"ả\":\"a\",\n\t\"ȃ\":\"a\",\n\t\"ā\":\"a\",\n\t\"ą\":\"a\",\n\t\"ᶏ\":\"a\",\n\t\"ẚ\":\"a\",\n\t\"å\":\"a\",\n\t\"ǻ\":\"a\",\n\t\"ḁ\":\"a\",\n\t\"ⱥ\":\"a\",\n\t\"ã\":\"a\",\n\t\"ꜳ\":\"aa\",\n\t\"æ\":\"ae\",\n\t\"ǽ\":\"ae\",\n\t\"ǣ\":\"ae\",\n\t\"ꜵ\":\"ao\",\n\t\"ꜷ\":\"au\",\n\t\"ꜹ\":\"av\",\n\t\"ꜻ\":\"av\",\n\t\"ꜽ\":\"ay\",\n\t\"ḃ\":\"b\",\n\t\"ḅ\":\"b\",\n\t\"ɓ\":\"b\",\n\t\"ḇ\":\"b\",\n\t\"ᵬ\":\"b\",\n\t\"ᶀ\":\"b\",\n\t\"ƀ\":\"b\",\n\t\"ƃ\":\"b\",\n\t\"ɵ\":\"o\",\n\t\"ć\":\"c\",\n\t\"č\":\"c\",\n\t\"ç\":\"c\",\n\t\"ḉ\":\"c\",\n\t\"ĉ\":\"c\",\n\t\"ɕ\":\"c\",\n\t\"ċ\":\"c\",\n\t\"ƈ\":\"c\",\n\t\"ȼ\":\"c\",\n\t\"ď\":\"d\",\n\t\"ḑ\":\"d\",\n\t\"ḓ\":\"d\",\n\t\"ȡ\":\"d\",\n\t\"ḋ\":\"d\",\n\t\"ḍ\":\"d\",\n\t\"ɗ\":\"d\",\n\t\"ᶑ\":\"d\",\n\t\"ḏ\":\"d\",\n\t\"ᵭ\":\"d\",\n\t\"ᶁ\":\"d\",\n\t\"đ\":\"d\",\n\t\"ɖ\":\"d\",\n\t\"ƌ\":\"d\",\n\t\"ı\":\"i\",\n\t\"ȷ\":\"j\",\n\t\"ɟ\":\"j\",\n\t\"ʄ\":\"j\",\n\t\"dz\":\"dz\",\n\t\"dž\":\"dz\",\n\t\"é\":\"e\",\n\t\"ĕ\":\"e\",\n\t\"ě\":\"e\",\n\t\"ȩ\":\"e\",\n\t\"ḝ\":\"e\",\n\t\"ê\":\"e\",\n\t\"ế\":\"e\",\n\t\"ệ\":\"e\",\n\t\"ề\":\"e\",\n\t\"ể\":\"e\",\n\t\"ễ\":\"e\",\n\t\"ḙ\":\"e\",\n\t\"ë\":\"e\",\n\t\"ė\":\"e\",\n\t\"ẹ\":\"e\",\n\t\"ȅ\":\"e\",\n\t\"è\":\"e\",\n\t\"ẻ\":\"e\",\n\t\"ȇ\":\"e\",\n\t\"ē\":\"e\",\n\t\"ḗ\":\"e\",\n\t\"ḕ\":\"e\",\n\t\"ⱸ\":\"e\",\n\t\"ę\":\"e\",\n\t\"ᶒ\":\"e\",\n\t\"ɇ\":\"e\",\n\t\"ẽ\":\"e\",\n\t\"ḛ\":\"e\",\n\t\"ꝫ\":\"et\",\n\t\"ḟ\":\"f\",\n\t\"ƒ\":\"f\",\n\t\"ᵮ\":\"f\",\n\t\"ᶂ\":\"f\",\n\t\"ǵ\":\"g\",\n\t\"ğ\":\"g\",\n\t\"ǧ\":\"g\",\n\t\"ģ\":\"g\",\n\t\"ĝ\":\"g\",\n\t\"ġ\":\"g\",\n\t\"ɠ\":\"g\",\n\t\"ḡ\":\"g\",\n\t\"ᶃ\":\"g\",\n\t\"ǥ\":\"g\",\n\t\"ḫ\":\"h\",\n\t\"ȟ\":\"h\",\n\t\"ḩ\":\"h\",\n\t\"ĥ\":\"h\",\n\t\"ⱨ\":\"h\",\n\t\"ḧ\":\"h\",\n\t\"ḣ\":\"h\",\n\t\"ḥ\":\"h\",\n\t\"ɦ\":\"h\",\n\t\"ẖ\":\"h\",\n\t\"ħ\":\"h\",\n\t\"ƕ\":\"hv\",\n\t\"í\":\"i\",\n\t\"ĭ\":\"i\",\n\t\"ǐ\":\"i\",\n\t\"î\":\"i\",\n\t\"ï\":\"i\",\n\t\"ḯ\":\"i\",\n\t\"ị\":\"i\",\n\t\"ȉ\":\"i\",\n\t\"ì\":\"i\",\n\t\"ỉ\":\"i\",\n\t\"ȋ\":\"i\",\n\t\"ī\":\"i\",\n\t\"į\":\"i\",\n\t\"ᶖ\":\"i\",\n\t\"ɨ\":\"i\",\n\t\"ĩ\":\"i\",\n\t\"ḭ\":\"i\",\n\t\"ꝺ\":\"d\",\n\t\"ꝼ\":\"f\",\n\t\"ᵹ\":\"g\",\n\t\"ꞃ\":\"r\",\n\t\"ꞅ\":\"s\",\n\t\"ꞇ\":\"t\",\n\t\"ꝭ\":\"is\",\n\t\"ǰ\":\"j\",\n\t\"ĵ\":\"j\",\n\t\"ʝ\":\"j\",\n\t\"ɉ\":\"j\",\n\t\"ḱ\":\"k\",\n\t\"ǩ\":\"k\",\n\t\"ķ\":\"k\",\n\t\"ⱪ\":\"k\",\n\t\"ꝃ\":\"k\",\n\t\"ḳ\":\"k\",\n\t\"ƙ\":\"k\",\n\t\"ḵ\":\"k\",\n\t\"ᶄ\":\"k\",\n\t\"ꝁ\":\"k\",\n\t\"ꝅ\":\"k\",\n\t\"ĺ\":\"l\",\n\t\"ƚ\":\"l\",\n\t\"ɬ\":\"l\",\n\t\"ľ\":\"l\",\n\t\"ļ\":\"l\",\n\t\"ḽ\":\"l\",\n\t\"ȴ\":\"l\",\n\t\"ḷ\":\"l\",\n\t\"ḹ\":\"l\",\n\t\"ⱡ\":\"l\",\n\t\"ꝉ\":\"l\",\n\t\"ḻ\":\"l\",\n\t\"ŀ\":\"l\",\n\t\"ɫ\":\"l\",\n\t\"ᶅ\":\"l\",\n\t\"ɭ\":\"l\",\n\t\"ł\":\"l\",\n\t\"lj\":\"lj\",\n\t\"ſ\":\"s\",\n\t\"ẜ\":\"s\",\n\t\"ẛ\":\"s\",\n\t\"ẝ\":\"s\",\n\t\"ḿ\":\"m\",\n\t\"ṁ\":\"m\",\n\t\"ṃ\":\"m\",\n\t\"ɱ\":\"m\",\n\t\"ᵯ\":\"m\",\n\t\"ᶆ\":\"m\",\n\t\"ń\":\"n\",\n\t\"ň\":\"n\",\n\t\"ņ\":\"n\",\n\t\"ṋ\":\"n\",\n\t\"ȵ\":\"n\",\n\t\"ṅ\":\"n\",\n\t\"ṇ\":\"n\",\n\t\"ǹ\":\"n\",\n\t\"ɲ\":\"n\",\n\t\"ṉ\":\"n\",\n\t\"ƞ\":\"n\",\n\t\"ᵰ\":\"n\",\n\t\"ᶇ\":\"n\",\n\t\"ɳ\":\"n\",\n\t\"ñ\":\"n\",\n\t\"nj\":\"nj\",\n\t\"ó\":\"o\",\n\t\"ŏ\":\"o\",\n\t\"ǒ\":\"o\",\n\t\"ô\":\"o\",\n\t\"ố\":\"o\",\n\t\"ộ\":\"o\",\n\t\"ồ\":\"o\",\n\t\"ổ\":\"o\",\n\t\"ỗ\":\"o\",\n\t\"ö\":\"o\",\n\t\"ȫ\":\"o\",\n\t\"ȯ\":\"o\",\n\t\"ȱ\":\"o\",\n\t\"ọ\":\"o\",\n\t\"ő\":\"o\",\n\t\"ȍ\":\"o\",\n\t\"ò\":\"o\",\n\t\"ỏ\":\"o\",\n\t\"ơ\":\"o\",\n\t\"ớ\":\"o\",\n\t\"ợ\":\"o\",\n\t\"ờ\":\"o\",\n\t\"ở\":\"o\",\n\t\"ỡ\":\"o\",\n\t\"ȏ\":\"o\",\n\t\"ꝋ\":\"o\",\n\t\"ꝍ\":\"o\",\n\t\"ⱺ\":\"o\",\n\t\"ō\":\"o\",\n\t\"ṓ\":\"o\",\n\t\"ṑ\":\"o\",\n\t\"ǫ\":\"o\",\n\t\"ǭ\":\"o\",\n\t\"ø\":\"o\",\n\t\"ǿ\":\"o\",\n\t\"õ\":\"o\",\n\t\"ṍ\":\"o\",\n\t\"ṏ\":\"o\",\n\t\"ȭ\":\"o\",\n\t\"ƣ\":\"oi\",\n\t\"ꝏ\":\"oo\",\n\t\"ɛ\":\"e\",\n\t\"ᶓ\":\"e\",\n\t\"ɔ\":\"o\",\n\t\"ᶗ\":\"o\",\n\t\"ȣ\":\"ou\",\n\t\"ṕ\":\"p\",\n\t\"ṗ\":\"p\",\n\t\"ꝓ\":\"p\",\n\t\"ƥ\":\"p\",\n\t\"ᵱ\":\"p\",\n\t\"ᶈ\":\"p\",\n\t\"ꝕ\":\"p\",\n\t\"ᵽ\":\"p\",\n\t\"ꝑ\":\"p\",\n\t\"ꝙ\":\"q\",\n\t\"ʠ\":\"q\",\n\t\"ɋ\":\"q\",\n\t\"ꝗ\":\"q\",\n\t\"ŕ\":\"r\",\n\t\"ř\":\"r\",\n\t\"ŗ\":\"r\",\n\t\"ṙ\":\"r\",\n\t\"ṛ\":\"r\",\n\t\"ṝ\":\"r\",\n\t\"ȑ\":\"r\",\n\t\"ɾ\":\"r\",\n\t\"ᵳ\":\"r\",\n\t\"ȓ\":\"r\",\n\t\"ṟ\":\"r\",\n\t\"ɼ\":\"r\",\n\t\"ᵲ\":\"r\",\n\t\"ᶉ\":\"r\",\n\t\"ɍ\":\"r\",\n\t\"ɽ\":\"r\",\n\t\"ↄ\":\"c\",\n\t\"ꜿ\":\"c\",\n\t\"ɘ\":\"e\",\n\t\"ɿ\":\"r\",\n\t\"ś\":\"s\",\n\t\"ṥ\":\"s\",\n\t\"š\":\"s\",\n\t\"ṧ\":\"s\",\n\t\"ş\":\"s\",\n\t\"ŝ\":\"s\",\n\t\"ș\":\"s\",\n\t\"ṡ\":\"s\",\n\t\"ṣ\":\"s\",\n\t\"ṩ\":\"s\",\n\t\"ʂ\":\"s\",\n\t\"ᵴ\":\"s\",\n\t\"ᶊ\":\"s\",\n\t\"ȿ\":\"s\",\n\t\"ɡ\":\"g\",\n\t\"ᴑ\":\"o\",\n\t\"ᴓ\":\"o\",\n\t\"ᴝ\":\"u\",\n\t\"ť\":\"t\",\n\t\"ţ\":\"t\",\n\t\"ṱ\":\"t\",\n\t\"ț\":\"t\",\n\t\"ȶ\":\"t\",\n\t\"ẗ\":\"t\",\n\t\"ⱦ\":\"t\",\n\t\"ṫ\":\"t\",\n\t\"ṭ\":\"t\",\n\t\"ƭ\":\"t\",\n\t\"ṯ\":\"t\",\n\t\"ᵵ\":\"t\",\n\t\"ƫ\":\"t\",\n\t\"ʈ\":\"t\",\n\t\"ŧ\":\"t\",\n\t\"ᵺ\":\"th\",\n\t\"ɐ\":\"a\",\n\t\"ᴂ\":\"ae\",\n\t\"ǝ\":\"e\",\n\t\"ᵷ\":\"g\",\n\t\"ɥ\":\"h\",\n\t\"ʮ\":\"h\",\n\t\"ʯ\":\"h\",\n\t\"ᴉ\":\"i\",\n\t\"ʞ\":\"k\",\n\t\"ꞁ\":\"l\",\n\t\"ɯ\":\"m\",\n\t\"ɰ\":\"m\",\n\t\"ᴔ\":\"oe\",\n\t\"ɹ\":\"r\",\n\t\"ɻ\":\"r\",\n\t\"ɺ\":\"r\",\n\t\"ⱹ\":\"r\",\n\t\"ʇ\":\"t\",\n\t\"ʌ\":\"v\",\n\t\"ʍ\":\"w\",\n\t\"ʎ\":\"y\",\n\t\"ꜩ\":\"tz\",\n\t\"ú\":\"u\",\n\t\"ŭ\":\"u\",\n\t\"ǔ\":\"u\",\n\t\"û\":\"u\",\n\t\"ṷ\":\"u\",\n\t\"ü\":\"u\",\n\t\"ǘ\":\"u\",\n\t\"ǚ\":\"u\",\n\t\"ǜ\":\"u\",\n\t\"ǖ\":\"u\",\n\t\"ṳ\":\"u\",\n\t\"ụ\":\"u\",\n\t\"ű\":\"u\",\n\t\"ȕ\":\"u\",\n\t\"ù\":\"u\",\n\t\"ủ\":\"u\",\n\t\"ư\":\"u\",\n\t\"ứ\":\"u\",\n\t\"ự\":\"u\",\n\t\"ừ\":\"u\",\n\t\"ử\":\"u\",\n\t\"ữ\":\"u\",\n\t\"ȗ\":\"u\",\n\t\"ū\":\"u\",\n\t\"ṻ\":\"u\",\n\t\"ų\":\"u\",\n\t\"ᶙ\":\"u\",\n\t\"ů\":\"u\",\n\t\"ũ\":\"u\",\n\t\"ṹ\":\"u\",\n\t\"ṵ\":\"u\",\n\t\"ᵫ\":\"ue\",\n\t\"ꝸ\":\"um\",\n\t\"ⱴ\":\"v\",\n\t\"ꝟ\":\"v\",\n\t\"ṿ\":\"v\",\n\t\"ʋ\":\"v\",\n\t\"ᶌ\":\"v\",\n\t\"ⱱ\":\"v\",\n\t\"ṽ\":\"v\",\n\t\"ꝡ\":\"vy\",\n\t\"ẃ\":\"w\",\n\t\"ŵ\":\"w\",\n\t\"ẅ\":\"w\",\n\t\"ẇ\":\"w\",\n\t\"ẉ\":\"w\",\n\t\"ẁ\":\"w\",\n\t\"ⱳ\":\"w\",\n\t\"ẘ\":\"w\",\n\t\"ẍ\":\"x\",\n\t\"ẋ\":\"x\",\n\t\"ᶍ\":\"x\",\n\t\"ý\":\"y\",\n\t\"ŷ\":\"y\",\n\t\"ÿ\":\"y\",\n\t\"ẏ\":\"y\",\n\t\"ỵ\":\"y\",\n\t\"ỳ\":\"y\",\n\t\"ƴ\":\"y\",\n\t\"ỷ\":\"y\",\n\t\"ỿ\":\"y\",\n\t\"ȳ\":\"y\",\n\t\"ẙ\":\"y\",\n\t\"ɏ\":\"y\",\n\t\"ỹ\":\"y\",\n\t\"ź\":\"z\",\n\t\"ž\":\"z\",\n\t\"ẑ\":\"z\",\n\t\"ʑ\":\"z\",\n\t\"ⱬ\":\"z\",\n\t\"ż\":\"z\",\n\t\"ẓ\":\"z\",\n\t\"ȥ\":\"z\",\n\t\"ẕ\":\"z\",\n\t\"ᵶ\":\"z\",\n\t\"ᶎ\":\"z\",\n\t\"ʐ\":\"z\",\n\t\"ƶ\":\"z\",\n\t\"ɀ\":\"z\",\n\t\"ff\":\"ff\",\n\t\"ffi\":\"ffi\",\n\t\"ffl\":\"ffl\",\n\t\"fi\":\"fi\",\n\t\"fl\":\"fl\",\n\t\"ij\":\"ij\",\n\t\"œ\":\"oe\",\n\t\"st\":\"st\",\n\t\"ₐ\":\"a\",\n\t\"ₑ\":\"e\",\n\t\"ᵢ\":\"i\",\n\t\"ⱼ\":\"j\",\n\t\"ₒ\":\"o\",\n\t\"ᵣ\":\"r\",\n\t\"ᵤ\":\"u\",\n\t\"ᵥ\":\"v\",\n\t\"ₓ\":\"x\",\n\t\"Ё\":\"YO\",\n\t\"Й\":\"I\",\n\t\"Ц\":\"TS\",\n\t\"У\":\"U\",\n\t\"К\":\"K\",\n\t\"Е\":\"E\",\n\t\"Н\":\"N\",\n\t\"Г\":\"G\",\n\t\"Ш\":\"SH\",\n\t\"Щ\":\"SCH\",\n\t\"З\":\"Z\",\n\t\"Х\":\"H\",\n\t\"Ъ\":\"'\",\n\t\"ё\":\"yo\",\n\t\"й\":\"i\",\n\t\"ц\":\"ts\",\n\t\"у\":\"u\",\n\t\"к\":\"k\",\n\t\"е\":\"e\",\n\t\"н\":\"n\",\n\t\"г\":\"g\",\n\t\"ш\":\"sh\",\n\t\"щ\":\"sch\",\n\t\"з\":\"z\",\n\t\"х\":\"h\",\n\t\"ъ\":\"'\",\n\t\"Ф\":\"F\",\n\t\"Ы\":\"I\",\n\t\"В\":\"V\",\n\t\"А\":\"a\",\n\t\"П\":\"P\",\n\t\"Р\":\"R\",\n\t\"О\":\"O\",\n\t\"Л\":\"L\",\n\t\"Д\":\"D\",\n\t\"Ж\":\"ZH\",\n\t\"Э\":\"E\",\n\t\"ф\":\"f\",\n\t\"ы\":\"i\",\n\t\"в\":\"v\",\n\t\"а\":\"a\",\n\t\"п\":\"p\",\n\t\"р\":\"r\",\n\t\"о\":\"o\",\n\t\"л\":\"l\",\n\t\"д\":\"d\",\n\t\"ж\":\"zh\",\n\t\"э\":\"e\",\n\t\"Я\":\"Ya\",\n\t\"Ч\":\"CH\",\n\t\"С\":\"S\",\n\t\"М\":\"M\",\n\t\"И\":\"I\",\n\t\"Т\":\"T\",\n\t\"Ь\":\"'\",\n\t\"Б\":\"B\",\n\t\"Ю\":\"YU\",\n\t\"я\":\"ya\",\n\t\"ч\":\"ch\",\n\t\"с\":\"s\",\n\t\"м\":\"m\",\n\t\"и\":\"i\",\n\t\"т\":\"t\",\n\t\"ь\":\"'\",\n\t\"б\":\"b\",\n\t\"ю\":\"yu\"\n};\n\nexports.transliterate = function(str) {\n\treturn str.replace(/[^A-Za-z0-9\\[\\] ]/g,function(ch) {\n\t\treturn exports.transliterationPairs[ch] || ch\n\t});\n};\n\nexports.transliterateToSafeASCII = function(str) {\n\treturn str.replace(/[^\\x00-\\x7F]/g,function(ch) {\n\t\treturn exports.transliterationPairs[ch] || \"\"\n\t});\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/utils.js": {
"title": "$:/core/modules/utils/utils.js",
"text": "/*\\\ntitle: $:/core/modules/utils/utils.js\ntype: application/javascript\nmodule-type: utils\n\nVarious static utility functions.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar base64utf8 = require(\"$:/core/modules/utils/base64-utf8/base64-utf8.module.js\");\n\n/*\nDisplay a message, in colour if we're on a terminal\n*/\nexports.log = function(text,colour) {\n\tconsole.log($tw.node ? exports.terminalColour(colour) + text + exports.terminalColour() : text);\n};\n\nexports.terminalColour = function(colour) {\n\tif(!$tw.browser && $tw.node && process.stdout.isTTY) {\n\t\tif(colour) {\n\t\t\tvar code = exports.terminalColourLookup[colour];\n\t\t\tif(code) {\n\t\t\t\treturn \"\\x1b[\" + code + \"m\";\n\t\t\t}\n\t\t} else {\n\t\t\treturn \"\\x1b[0m\"; // Cancel colour\n\t\t}\n\t}\n\treturn \"\";\n};\n\nexports.terminalColourLookup = {\n\t\"black\": \"0;30\",\n\t\"red\": \"0;31\",\n\t\"green\": \"0;32\",\n\t\"brown/orange\": \"0;33\",\n\t\"blue\": \"0;34\",\n\t\"purple\": \"0;35\",\n\t\"cyan\": \"0;36\",\n\t\"light gray\": \"0;37\"\n};\n\n/*\nDisplay a warning, in colour if we're on a terminal\n*/\nexports.warning = function(text) {\n\texports.log(text,\"brown/orange\");\n};\n\n/*\nReturn the integer represented by the str (string).\nReturn the dflt (default) parameter if str is not a base-10 number.\n*/\nexports.getInt = function(str,deflt) {\n\tvar i = parseInt(str,10);\n\treturn isNaN(i) ? deflt : i;\n}\n\n/*\nRepeatedly replaces a substring within a string. Like String.prototype.replace, but without any of the default special handling of $ sequences in the replace string\n*/\nexports.replaceString = function(text,search,replace) {\n\treturn text.replace(search,function() {\n\t\treturn replace;\n\t});\n};\n\n/*\nRepeats a string\n*/\nexports.repeat = function(str,count) {\n\tvar result = \"\";\n\tfor(var t=0;t<count;t++) {\n\t\tresult += str;\n\t}\n\treturn result;\n};\n\n/*\nTrim whitespace from the start and end of a string\nThanks to Steven Levithan, http://blog.stevenlevithan.com/archives/faster-trim-javascript\n*/\nexports.trim = function(str) {\n\tif(typeof str === \"string\") {\n\t\treturn str.replace(/^\\s\\s*/, '').replace(/\\s\\s*$/, '');\n\t} else {\n\t\treturn str;\n\t}\n};\n\n/*\nConvert a string to sentence case (ie capitalise first letter)\n*/\nexports.toSentenceCase = function(str) {\n\treturn (str || \"\").replace(/^\\S/, function(c) {return c.toUpperCase();});\n}\n\n/*\nConvert a string to title case (ie capitalise each initial letter)\n*/\nexports.toTitleCase = function(str) {\n\treturn (str || \"\").replace(/(^|\\s)\\S/g, function(c) {return c.toUpperCase();});\n}\n\t\n/*\nFind the line break preceding a given position in a string\nReturns position immediately after that line break, or the start of the string\n*/\nexports.findPrecedingLineBreak = function(text,pos) {\n\tvar result = text.lastIndexOf(\"\\n\",pos - 1);\n\tif(result === -1) {\n\t\tresult = 0;\n\t} else {\n\t\tresult++;\n\t\tif(text.charAt(result) === \"\\r\") {\n\t\t\tresult++;\n\t\t}\n\t}\n\treturn result;\n};\n\n/*\nFind the line break following a given position in a string\n*/\nexports.findFollowingLineBreak = function(text,pos) {\n\t// Cut to just past the following line break, or to the end of the text\n\tvar result = text.indexOf(\"\\n\",pos);\n\tif(result === -1) {\n\t\tresult = text.length;\n\t} else {\n\t\tif(text.charAt(result) === \"\\r\") {\n\t\t\tresult++;\n\t\t}\n\t}\n\treturn result;\n};\n\n/*\nReturn the number of keys in an object\n*/\nexports.count = function(object) {\n\treturn Object.keys(object || {}).length;\n};\n\n/*\nDetermine whether an array-item is an object-property\n*/\nexports.hopArray = function(object,array) {\n\tfor(var i=0; i<array.length; i++) {\n\t\tif($tw.utils.hop(object,array[i])) {\n\t\t\treturn true;\n\t\t}\n\t}\n\treturn false;\n};\n\n/*\nRemove entries from an array\n\tarray: array to modify\n\tvalue: a single value to remove, or an array of values to remove\n*/\nexports.removeArrayEntries = function(array,value) {\n\tvar t,p;\n\tif($tw.utils.isArray(value)) {\n\t\tfor(t=0; t<value.length; t++) {\n\t\t\tp = array.indexOf(value[t]);\n\t\t\tif(p !== -1) {\n\t\t\t\tarray.splice(p,1);\n\t\t\t}\n\t\t}\n\t} else {\n\t\tp = array.indexOf(value);\n\t\tif(p !== -1) {\n\t\t\tarray.splice(p,1);\n\t\t}\n\t}\n};\n\n/*\nCheck whether any members of a hashmap are present in another hashmap\n*/\nexports.checkDependencies = function(dependencies,changes) {\n\tvar hit = false;\n\t$tw.utils.each(changes,function(change,title) {\n\t\tif($tw.utils.hop(dependencies,title)) {\n\t\t\thit = true;\n\t\t}\n\t});\n\treturn hit;\n};\n\nexports.extend = function(object /* [, src] */) {\n\t$tw.utils.each(Array.prototype.slice.call(arguments, 1), function(source) {\n\t\tif(source) {\n\t\t\tfor(var property in source) {\n\t\t\t\tobject[property] = source[property];\n\t\t\t}\n\t\t}\n\t});\n\treturn object;\n};\n\nexports.deepCopy = function(object) {\n\tvar result,t;\n\tif($tw.utils.isArray(object)) {\n\t\t// Copy arrays\n\t\tresult = object.slice(0);\n\t} else if(typeof object === \"object\") {\n\t\tresult = {};\n\t\tfor(t in object) {\n\t\t\tif(object[t] !== undefined) {\n\t\t\t\tresult[t] = $tw.utils.deepCopy(object[t]);\n\t\t\t}\n\t\t}\n\t} else {\n\t\tresult = object;\n\t}\n\treturn result;\n};\n\nexports.extendDeepCopy = function(object,extendedProperties) {\n\tvar result = $tw.utils.deepCopy(object),t;\n\tfor(t in extendedProperties) {\n\t\tif(extendedProperties[t] !== undefined) {\n\t\t\tresult[t] = $tw.utils.deepCopy(extendedProperties[t]);\n\t\t}\n\t}\n\treturn result;\n};\n\nexports.deepFreeze = function deepFreeze(object) {\n\tvar property, key;\n\tif(object) {\n\t\tObject.freeze(object);\n\t\tfor(key in object) {\n\t\t\tproperty = object[key];\n\t\t\tif($tw.utils.hop(object,key) && (typeof property === \"object\") && !Object.isFrozen(property)) {\n\t\t\t\tdeepFreeze(property);\n\t\t\t}\n\t\t}\n\t}\n};\n\nexports.slowInSlowOut = function(t) {\n\treturn (1 - ((Math.cos(t * Math.PI) + 1) / 2));\n};\n\nexports.formatDateString = function(date,template) {\n\tvar result = \"\",\n\t\tt = template,\n\t\tmatches = [\n\t\t\t[/^0hh12/, function() {\n\t\t\t\treturn $tw.utils.pad($tw.utils.getHours12(date));\n\t\t\t}],\n\t\t\t[/^wYYYY/, function() {\n\t\t\t\treturn $tw.utils.getYearForWeekNo(date);\n\t\t\t}],\n\t\t\t[/^hh12/, function() {\n\t\t\t\treturn $tw.utils.getHours12(date);\n\t\t\t}],\n\t\t\t[/^DDth/, function() {\n\t\t\t\treturn date.getDate() + $tw.utils.getDaySuffix(date);\n\t\t\t}],\n\t\t\t[/^YYYY/, function() {\n\t\t\t\treturn date.getFullYear();\n\t\t\t}],\n\t\t\t[/^0hh/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getHours());\n\t\t\t}],\n\t\t\t[/^0mm/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getMinutes());\n\t\t\t}],\n\t\t\t[/^0ss/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getSeconds());\n\t\t\t}],\n\t\t\t[/^0XXX/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getMilliseconds(),3);\n\t\t\t}],\n\t\t\t[/^0DD/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getDate());\n\t\t\t}],\n\t\t\t[/^0MM/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getMonth()+1);\n\t\t\t}],\n\t\t\t[/^0WW/, function() {\n\t\t\t\treturn $tw.utils.pad($tw.utils.getWeek(date));\n\t\t\t}],\n\t\t\t[/^ddd/, function() {\n\t\t\t\treturn $tw.language.getString(\"Date/Short/Day/\" + date.getDay());\n\t\t\t}],\n\t\t\t[/^mmm/, function() {\n\t\t\t\treturn $tw.language.getString(\"Date/Short/Month/\" + (date.getMonth() + 1));\n\t\t\t}],\n\t\t\t[/^DDD/, function() {\n\t\t\t\treturn $tw.language.getString(\"Date/Long/Day/\" + date.getDay());\n\t\t\t}],\n\t\t\t[/^MMM/, function() {\n\t\t\t\treturn $tw.language.getString(\"Date/Long/Month/\" + (date.getMonth() + 1));\n\t\t\t}],\n\t\t\t[/^TZD/, function() {\n\t\t\t\tvar tz = date.getTimezoneOffset(),\n\t\t\t\tatz = Math.abs(tz);\n\t\t\t\treturn (tz < 0 ? '+' : '-') + $tw.utils.pad(Math.floor(atz / 60)) + ':' + $tw.utils.pad(atz % 60);\n\t\t\t}],\n\t\t\t[/^wYY/, function() {\n\t\t\t\treturn $tw.utils.pad($tw.utils.getYearForWeekNo(date) - 2000);\n\t\t\t}],\n\t\t\t[/^[ap]m/, function() {\n\t\t\t\treturn $tw.utils.getAmPm(date).toLowerCase();\n\t\t\t}],\n\t\t\t[/^hh/, function() {\n\t\t\t\treturn date.getHours();\n\t\t\t}],\n\t\t\t[/^mm/, function() {\n\t\t\t\treturn date.getMinutes();\n\t\t\t}],\n\t\t\t[/^ss/, function() {\n\t\t\t\treturn date.getSeconds();\n\t\t\t}],\n\t\t\t[/^XXX/, function() {\n\t\t\t\treturn date.getMilliseconds();\n\t\t\t}],\n\t\t\t[/^[AP]M/, function() {\n\t\t\t\treturn $tw.utils.getAmPm(date).toUpperCase();\n\t\t\t}],\n\t\t\t[/^DD/, function() {\n\t\t\t\treturn date.getDate();\n\t\t\t}],\n\t\t\t[/^MM/, function() {\n\t\t\t\treturn date.getMonth() + 1;\n\t\t\t}],\n\t\t\t[/^WW/, function() {\n\t\t\t\treturn $tw.utils.getWeek(date);\n\t\t\t}],\n\t\t\t[/^YY/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getFullYear() - 2000);\n\t\t\t}]\n\t\t];\n\t// If the user wants everything in UTC, shift the datestamp\n\t// Optimize for format string that essentially means\n\t// 'return raw UTC (tiddlywiki style) date string.'\n\tif(t.indexOf(\"[UTC]\") == 0 ) {\n\t\tif(t == \"[UTC]YYYY0MM0DD0hh0mm0ssXXX\")\n\t\t\treturn $tw.utils.stringifyDate(new Date());\n\t\tvar offset = date.getTimezoneOffset() ; // in minutes\n\t\tdate = new Date(date.getTime()+offset*60*1000) ;\n\t\tt = t.substr(5) ;\n\t}\n\twhile(t.length){\n\t\tvar matchString = \"\";\n\t\t$tw.utils.each(matches, function(m) {\n\t\t\tvar match = m[0].exec(t);\n\t\t\tif(match) {\n\t\t\t\tmatchString = m[1].call();\n\t\t\t\tt = t.substr(match[0].length);\n\t\t\t\treturn false;\n\t\t\t}\n\t\t});\n\t\tif(matchString) {\n\t\t\tresult += matchString;\n\t\t} else {\n\t\t\tresult += t.charAt(0);\n\t\t\tt = t.substr(1);\n\t\t}\n\t}\n\tresult = result.replace(/\\\\(.)/g,\"$1\");\n\treturn result;\n};\n\nexports.getAmPm = function(date) {\n\treturn $tw.language.getString(\"Date/Period/\" + (date.getHours() >= 12 ? \"pm\" : \"am\"));\n};\n\nexports.getDaySuffix = function(date) {\n\treturn $tw.language.getString(\"Date/DaySuffix/\" + date.getDate());\n};\n\nexports.getWeek = function(date) {\n\tvar dt = new Date(date.getTime());\n\tvar d = dt.getDay();\n\tif(d === 0) {\n\t\td = 7; // JavaScript Sun=0, ISO Sun=7\n\t}\n\tdt.setTime(dt.getTime() + (4 - d) * 86400000);// shift day to Thurs of same week to calculate weekNo\n\tvar x = new Date(dt.getFullYear(),0,1);\n\tvar n = Math.floor((dt.getTime() - x.getTime()) / 86400000);\n\treturn Math.floor(n / 7) + 1;\n};\n\nexports.getYearForWeekNo = function(date) {\n\tvar dt = new Date(date.getTime());\n\tvar d = dt.getDay();\n\tif(d === 0) {\n\t\td = 7; // JavaScript Sun=0, ISO Sun=7\n\t}\n\tdt.setTime(dt.getTime() + (4 - d) * 86400000);// shift day to Thurs of same week\n\treturn dt.getFullYear();\n};\n\nexports.getHours12 = function(date) {\n\tvar h = date.getHours();\n\treturn h > 12 ? h-12 : ( h > 0 ? h : 12 );\n};\n\n/*\nConvert a date delta in milliseconds into a string representation of \"23 seconds ago\", \"27 minutes ago\" etc.\n\tdelta: delta in milliseconds\nReturns an object with these members:\n\tdescription: string describing the delta period\n\tupdatePeriod: time in millisecond until the string will be inaccurate\n*/\nexports.getRelativeDate = function(delta) {\n\tvar futurep = false;\n\tif(delta < 0) {\n\t\tdelta = -1 * delta;\n\t\tfuturep = true;\n\t}\n\tvar units = [\n\t\t{name: \"Years\", duration: 365 * 24 * 60 * 60 * 1000},\n\t\t{name: \"Months\", duration: (365/12) * 24 * 60 * 60 * 1000},\n\t\t{name: \"Days\", duration: 24 * 60 * 60 * 1000},\n\t\t{name: \"Hours\", duration: 60 * 60 * 1000},\n\t\t{name: \"Minutes\", duration: 60 * 1000},\n\t\t{name: \"Seconds\", duration: 1000}\n\t];\n\tfor(var t=0; t<units.length; t++) {\n\t\tvar result = Math.floor(delta / units[t].duration);\n\t\tif(result >= 2) {\n\t\t\treturn {\n\t\t\t\tdelta: delta,\n\t\t\t\tdescription: $tw.language.getString(\n\t\t\t\t\t\"RelativeDate/\" + (futurep ? \"Future\" : \"Past\") + \"/\" + units[t].name,\n\t\t\t\t\t{variables:\n\t\t\t\t\t\t{period: result.toString()}\n\t\t\t\t\t}\n\t\t\t\t),\n\t\t\t\tupdatePeriod: units[t].duration\n\t\t\t};\n\t\t}\n\t}\n\treturn {\n\t\tdelta: delta,\n\t\tdescription: $tw.language.getString(\n\t\t\t\"RelativeDate/\" + (futurep ? \"Future\" : \"Past\") + \"/Second\",\n\t\t\t{variables:\n\t\t\t\t{period: \"1\"}\n\t\t\t}\n\t\t),\n\t\tupdatePeriod: 1000\n\t};\n};\n\n// Convert & to \"&\", < to \"<\", > to \">\", \" to \""\"\nexports.htmlEncode = function(s) {\n\tif(s) {\n\t\treturn s.toString().replace(/&/mg,\"&\").replace(/</mg,\"<\").replace(/>/mg,\">\").replace(/\\\"/mg,\""\");\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\n// Converts all HTML entities to their character equivalents\nexports.entityDecode = function(s) {\n\tvar converter = String.fromCodePoint || String.fromCharCode,\n\t\te = s.substr(1,s.length-2), // Strip the & and the ;\n\t\tc;\n\tif(e.charAt(0) === \"#\") {\n\t\tif(e.charAt(1) === \"x\" || e.charAt(1) === \"X\") {\n\t\t\tc = parseInt(e.substr(2),16);\n\t\t} else {\n\t\t\tc = parseInt(e.substr(1),10);\n\t\t}\n\t\tif(isNaN(c)) {\n\t\t\treturn s;\n\t\t} else {\n\t\t\treturn converter(c);\n\t\t}\n\t} else {\n\t\tc = $tw.config.htmlEntities[e];\n\t\tif(c) {\n\t\t\treturn converter(c);\n\t\t} else {\n\t\t\treturn s; // Couldn't convert it as an entity, just return it raw\n\t\t}\n\t}\n};\n\nexports.unescapeLineBreaks = function(s) {\n\treturn s.replace(/\\\\n/mg,\"\\n\").replace(/\\\\b/mg,\" \").replace(/\\\\s/mg,\"\\\\\").replace(/\\r/mg,\"\");\n};\n\n/*\n * Returns an escape sequence for given character. Uses \\x for characters <=\n * 0xFF to save space, \\u for the rest.\n *\n * The code needs to be in sync with th code template in the compilation\n * function for \"action\" nodes.\n */\n// Copied from peg.js, thanks to David Majda\nexports.escape = function(ch) {\n\tvar charCode = ch.charCodeAt(0);\n\tif(charCode <= 0xFF) {\n\t\treturn '\\\\x' + $tw.utils.pad(charCode.toString(16).toUpperCase());\n\t} else {\n\t\treturn '\\\\u' + $tw.utils.pad(charCode.toString(16).toUpperCase(),4);\n\t}\n};\n\n// Turns a string into a legal JavaScript string\n// Copied from peg.js, thanks to David Majda\nexports.stringify = function(s) {\n\t/*\n\t* ECMA-262, 5th ed., 7.8.4: All characters may appear literally in a string\n\t* literal except for the closing quote character, backslash, carriage return,\n\t* line separator, paragraph separator, and line feed. Any character may\n\t* appear in the form of an escape sequence.\n\t*\n\t* For portability, we also escape all non-ASCII characters.\n\t*/\n\treturn (s || \"\")\n\t\t.replace(/\\\\/g, '\\\\\\\\') // backslash\n\t\t.replace(/\"/g, '\\\\\"') // double quote character\n\t\t.replace(/'/g, \"\\\\'\") // single quote character\n\t\t.replace(/\\r/g, '\\\\r') // carriage return\n\t\t.replace(/\\n/g, '\\\\n') // line feed\n\t\t.replace(/[\\x00-\\x1f\\x80-\\uFFFF]/g, exports.escape); // non-ASCII characters\n};\n\n// Turns a string into a legal JSON string\n// Derived from peg.js, thanks to David Majda\nexports.jsonStringify = function(s) {\n\t// See http://www.json.org/\n\treturn (s || \"\")\n\t\t.replace(/\\\\/g, '\\\\\\\\') // backslash\n\t\t.replace(/\"/g, '\\\\\"') // double quote character\n\t\t.replace(/\\r/g, '\\\\r') // carriage return\n\t\t.replace(/\\n/g, '\\\\n') // line feed\n\t\t.replace(/\\x08/g, '\\\\b') // backspace\n\t\t.replace(/\\x0c/g, '\\\\f') // formfeed\n\t\t.replace(/\\t/g, '\\\\t') // tab\n\t\t.replace(/[\\x00-\\x1f\\x80-\\uFFFF]/g,function(s) {\n\t\t\treturn '\\\\u' + $tw.utils.pad(s.charCodeAt(0).toString(16).toUpperCase(),4);\n\t\t}); // non-ASCII characters\n};\n\n/*\nEscape the RegExp special characters with a preceding backslash\n*/\nexports.escapeRegExp = function(s) {\n return s.replace(/[\\-\\/\\\\\\^\\$\\*\\+\\?\\.\\(\\)\\|\\[\\]\\{\\}]/g, '\\\\$&');\n};\n\n// Checks whether a link target is external, i.e. not a tiddler title\nexports.isLinkExternal = function(to) {\n\tvar externalRegExp = /^(?:file|http|https|mailto|ftp|irc|news|data|skype):[^\\s<>{}\\[\\]`|\"\\\\^]+(?:\\/|\\b)/i;\n\treturn externalRegExp.test(to);\n};\n\nexports.nextTick = function(fn) {\n/*global window: false */\n\tif(typeof process === \"undefined\") {\n\t\t// Apparently it would be faster to use postMessage - http://dbaron.org/log/20100309-faster-timeouts\n\t\twindow.setTimeout(fn,4);\n\t} else {\n\t\tprocess.nextTick(fn);\n\t}\n};\n\n/*\nConvert a hyphenated CSS property name into a camel case one\n*/\nexports.unHyphenateCss = function(propName) {\n\treturn propName.replace(/-([a-z])/gi, function(match0,match1) {\n\t\treturn match1.toUpperCase();\n\t});\n};\n\n/*\nConvert a camelcase CSS property name into a dashed one (\"backgroundColor\" --> \"background-color\")\n*/\nexports.hyphenateCss = function(propName) {\n\treturn propName.replace(/([A-Z])/g, function(match0,match1) {\n\t\treturn \"-\" + match1.toLowerCase();\n\t});\n};\n\n/*\nParse a text reference of one of these forms:\n* title\n* !!field\n* title!!field\n* title##index\n* etc\nReturns an object with the following fields, all optional:\n* title: tiddler title\n* field: tiddler field name\n* index: JSON property index\n*/\nexports.parseTextReference = function(textRef) {\n\t// Separate out the title, field name and/or JSON indices\n\tvar reTextRef = /(?:(.*?)!!(.+))|(?:(.*?)##(.+))|(.*)/mg,\n\t\tmatch = reTextRef.exec(textRef),\n\t\tresult = {};\n\tif(match && reTextRef.lastIndex === textRef.length) {\n\t\t// Return the parts\n\t\tif(match[1]) {\n\t\t\tresult.title = match[1];\n\t\t}\n\t\tif(match[2]) {\n\t\t\tresult.field = match[2];\n\t\t}\n\t\tif(match[3]) {\n\t\t\tresult.title = match[3];\n\t\t}\n\t\tif(match[4]) {\n\t\t\tresult.index = match[4];\n\t\t}\n\t\tif(match[5]) {\n\t\t\tresult.title = match[5];\n\t\t}\n\t} else {\n\t\t// If we couldn't parse it\n\t\tresult.title = textRef\n\t}\n\treturn result;\n};\n\n/*\nChecks whether a string is a valid fieldname\n*/\nexports.isValidFieldName = function(name) {\n\tif(!name || typeof name !== \"string\") {\n\t\treturn false;\n\t}\n\tname = name.toLowerCase().trim();\n\tvar fieldValidatorRegEx = /^[a-z0-9\\-\\._]+$/mg;\n\treturn fieldValidatorRegEx.test(name);\n};\n\n/*\nExtract the version number from the meta tag or from the boot file\n*/\n\n// Browser version\nexports.extractVersionInfo = function() {\n\tif($tw.packageInfo) {\n\t\treturn $tw.packageInfo.version;\n\t} else {\n\t\tvar metatags = document.getElementsByTagName(\"meta\");\n\t\tfor(var t=0; t<metatags.length; t++) {\n\t\t\tvar m = metatags[t];\n\t\t\tif(m.name === \"tiddlywiki-version\") {\n\t\t\t\treturn m.content;\n\t\t\t}\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nGet the animation duration in ms\n*/\nexports.getAnimationDuration = function() {\n\treturn parseInt($tw.wiki.getTiddlerText(\"$:/config/AnimationDuration\",\"400\"),10) || 0;\n};\n\n/*\nHash a string to a number\nDerived from http://stackoverflow.com/a/15710692\n*/\nexports.hashString = function(str) {\n\treturn str.split(\"\").reduce(function(a,b) {\n\t\ta = ((a << 5) - a) + b.charCodeAt(0);\n\t\treturn a & a;\n\t},0);\n};\n\n/*\nDecode a base64 string\n*/\nexports.base64Decode = function(string64) {\n\treturn base64utf8.base64.decode.call(base64utf8,string64);\n};\n\n/*\nEncode a string to base64\n*/\nexports.base64Encode = function(string64) {\n\treturn base64utf8.base64.encode.call(base64utf8,string64);\n};\n\n/*\nConvert a hashmap into a tiddler dictionary format sequence of name:value pairs\n*/\nexports.makeTiddlerDictionary = function(data) {\n\tvar output = [];\n\tfor(var name in data) {\n\t\toutput.push(name + \": \" + data[name]);\n\t}\n\treturn output.join(\"\\n\");\n};\n\n/*\nHigh resolution microsecond timer for profiling\n*/\nexports.timer = function(base) {\n\tvar m;\n\tif($tw.node) {\n\t\tvar r = process.hrtime();\n\t\tm = r[0] * 1e3 + (r[1] / 1e6);\n\t} else if(window.performance) {\n\t\tm = performance.now();\n\t} else {\n\t\tm = Date.now();\n\t}\n\tif(typeof base !== \"undefined\") {\n\t\tm = m - base;\n\t}\n\treturn m;\n};\n\n/*\nConvert text and content type to a data URI\n*/\nexports.makeDataUri = function(text,type,_canonical_uri) {\n\ttype = type || \"text/vnd.tiddlywiki\";\n\tvar typeInfo = $tw.config.contentTypeInfo[type] || $tw.config.contentTypeInfo[\"text/plain\"],\n\t\tisBase64 = typeInfo.encoding === \"base64\",\n\t\tparts = [];\n\tif(_canonical_uri) {\n\t\tparts.push(_canonical_uri);\n\t} else {\n\t\tparts.push(\"data:\");\n\t\tparts.push(type);\n\t\tparts.push(isBase64 ? \";base64\" : \"\");\n\t\tparts.push(\",\");\n\t\tparts.push(isBase64 ? text : encodeURIComponent(text));\t\t\n\t}\n\treturn parts.join(\"\");\n};\n\n/*\nUseful for finding out the fully escaped CSS selector equivalent to a given tag. For example:\n\n$tw.utils.tagToCssSelector(\"$:/tags/Stylesheet\") --> tc-tagged-\\%24\\%3A\\%2Ftags\\%2FStylesheet\n*/\nexports.tagToCssSelector = function(tagName) {\n\treturn \"tc-tagged-\" + encodeURIComponent(tagName).replace(/[!\"#$%&'()*+,\\-./:;<=>?@[\\\\\\]^`{\\|}~,]/mg,function(c) {\n\t\treturn \"\\\\\" + c;\n\t});\n};\n\n/*\nIE does not have sign function\n*/\nexports.sign = Math.sign || function(x) {\n\tx = +x; // convert to a number\n\tif (x === 0 || isNaN(x)) {\n\t\treturn x;\n\t}\n\treturn x > 0 ? 1 : -1;\n};\n\n/*\nIE does not have an endsWith function\n*/\nexports.strEndsWith = function(str,ending,position) {\n\tif(str.endsWith) {\n\t\treturn str.endsWith(ending,position);\n\t} else {\n\t\tif (typeof position !== 'number' || !isFinite(position) || Math.floor(position) !== position || position > str.length) {\n\t\t\tposition = str.length;\n\t\t}\n\t\tposition -= ending.length;\n\t\tvar lastIndex = str.indexOf(ending, position);\n\t\treturn lastIndex !== -1 && lastIndex === position;\n\t}\n};\n\n/*\nReturn system information useful for debugging\n*/\nexports.getSystemInfo = function(str,ending,position) {\n\tvar results = [],\n\t\tsave = function(desc,value) {\n\t\t\tresults.push(desc + \": \" + value);\n\t\t};\n\tif($tw.browser) {\n\t\tsave(\"User Agent\",navigator.userAgent);\n\t\tsave(\"Online Status\",window.navigator.onLine);\n\t}\n\tif($tw.node) {\n\t\tsave(\"Node Version\",process.version);\n\t}\n\treturn results.join(\"\\n\");\n};\n\nexports.parseNumber = function(str) {\n\treturn parseFloat(str) || 0;\n};\n\nexports.parseInt = function(str) {\n\treturn parseInt(str,10) || 0;\n};\n\nexports.stringifyNumber = function(num) {\n\treturn num + \"\";\n};\n\n})();\n",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/widgets/action-createtiddler.js": {
"title": "$:/core/modules/widgets/action-createtiddler.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-createtiddler.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to create a new tiddler with a unique name and specified fields.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw:false, require:false, exports:false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar CreateTiddlerWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nCreateTiddlerWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nCreateTiddlerWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nCreateTiddlerWidget.prototype.execute = function() {\n\tthis.actionBaseTitle = this.getAttribute(\"$basetitle\");\n\tthis.hasBase = !!this.actionBaseTitle;\n\tthis.actionSaveTitle = this.getAttribute(\"$savetitle\");\n\tthis.actionSaveDraftTitle = this.getAttribute(\"$savedrafttitle\");\n\tthis.actionTimestamp = this.getAttribute(\"$timestamp\",\"yes\") === \"yes\";\n\t//Following params are new since 5.1.22\n\tthis.actionTemplate = this.getAttribute(\"$template\");\n\tthis.useTemplate = !!this.actionTemplate;\n\tthis.actionOverwrite = this.getAttribute(\"$overwrite\",\"no\");\n\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nCreateTiddlerWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif($tw.utils.count(changedAttributes) > 0) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nCreateTiddlerWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar title = this.wiki.getTiddlerText(\"$:/language/DefaultNewTiddlerTitle\"), // Get the initial new-tiddler title\n\t\tfields = {},\n\t\tcreationFields,\n\t\tmodificationFields;\n\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\tif(name.charAt(0) !== \"$\") {\n\t\t\tfields[name] = attribute;\n\t\t}\n\t});\n\tif(this.actionTimestamp) {\n\t\tcreationFields = this.wiki.getCreationFields();\n\t\tmodificationFields = this.wiki.getModificationFields();\n\t}\n\tif(this.hasBase && this.actionOverwrite === \"no\") {\n\t\ttitle = this.wiki.generateNewTitle(this.actionBaseTitle);\n\t} else if (this.hasBase && this.actionOverwrite === \"yes\") {\n\t\ttitle = this.actionBaseTitle\n\t}\n\t// NO $basetitle BUT $template parameter is available\n\t// the title MUST be unique, otherwise the template would be overwritten\n\tif (!this.hasBase && this.useTemplate) {\n\t\ttitle = this.wiki.generateNewTitle(this.actionTemplate);\n\t} else if (!this.hasBase && !this.useTemplate) {\n\t\t// If NO $basetitle AND NO $template use initial title\n\t\t// DON'T overwrite any stuff\n\t\ttitle = this.wiki.generateNewTitle(title);\n\t}\n\tvar templateTiddler = this.wiki.getTiddler(this.actionTemplate) || {};\n\tvar tiddler = this.wiki.addTiddler(new $tw.Tiddler(templateTiddler.fields,creationFields,fields,modificationFields,{title: title}));\n\tif(this.actionSaveTitle) {\n\t\tthis.wiki.setTextReference(this.actionSaveTitle,title,this.getVariable(\"currentTiddler\"));\n\t}\n\tif(this.actionSaveDraftTitle) {\n\t\tthis.wiki.setTextReference(this.actionSaveDraftTitle,this.wiki.generateDraftTitle(title),this.getVariable(\"currentTiddler\"));\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-createtiddler\"] = CreateTiddlerWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-deletefield.js": {
"title": "$:/core/modules/widgets/action-deletefield.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-deletefield.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to delete fields of a tiddler.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DeleteFieldWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDeleteFieldWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDeleteFieldWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nDeleteFieldWidget.prototype.execute = function() {\n\tthis.actionTiddler = this.getAttribute(\"$tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.actionField = this.getAttribute(\"$field\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nDeleteFieldWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$tiddler\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nDeleteFieldWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar self = this,\n\t\ttiddler = this.wiki.getTiddler(self.actionTiddler),\n\t\tremoveFields = {},\n\t\thasChanged = false;\n\tif(this.actionField && tiddler) {\n\t\tremoveFields[this.actionField] = undefined;\n\t\tif(this.actionField in tiddler.fields) {\n\t\t\thasChanged = true;\n\t\t}\n\t}\n\tif(tiddler) {\n\t\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\t\tif(name.charAt(0) !== \"$\" && name !== \"title\") {\n\t\t\t\tremoveFields[name] = undefined;\n\t\t\t\thasChanged = true;\n\t\t\t}\n\t\t});\n\t\tif(hasChanged) {\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(this.wiki.getCreationFields(),tiddler,removeFields,this.wiki.getModificationFields()));\t\t\t\n\t\t}\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-deletefield\"] = DeleteFieldWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-deletetiddler.js": {
"title": "$:/core/modules/widgets/action-deletetiddler.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-deletetiddler.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to delete a tiddler.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DeleteTiddlerWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDeleteTiddlerWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDeleteTiddlerWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nDeleteTiddlerWidget.prototype.execute = function() {\n\tthis.actionFilter = this.getAttribute(\"$filter\");\n\tthis.actionTiddler = this.getAttribute(\"$tiddler\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nDeleteTiddlerWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$filter\"] || changedAttributes[\"$tiddler\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nDeleteTiddlerWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar tiddlers = [];\n\tif(this.actionFilter) {\n\t\ttiddlers = this.wiki.filterTiddlers(this.actionFilter,this);\n\t}\n\tif(this.actionTiddler) {\n\t\ttiddlers.push(this.actionTiddler);\n\t}\n\tfor(var t=0; t<tiddlers.length; t++) {\n\t\tthis.wiki.deleteTiddler(tiddlers[t]);\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-deletetiddler\"] = DeleteTiddlerWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-listops.js": {
"title": "$:/core/modules/widgets/action-listops.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-listops.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to apply list operations to any tiddler field (defaults to the 'list' field of the current tiddler)\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\nvar ActionListopsWidget = function(parseTreeNode, options) {\n\tthis.initialise(parseTreeNode, options);\n};\n/**\n * Inherit from the base widget class\n */\nActionListopsWidget.prototype = new Widget();\n/**\n * Render this widget into the DOM\n */\nActionListopsWidget.prototype.render = function(parent, nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n/**\n * Compute the internal state of the widget\n */\nActionListopsWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.target = this.getAttribute(\"$tiddler\", this.getVariable(\n\t\t\"currentTiddler\"));\n\tthis.filter = this.getAttribute(\"$filter\");\n\tthis.subfilter = this.getAttribute(\"$subfilter\");\n\tthis.listField = this.getAttribute(\"$field\", \"list\");\n\tthis.listIndex = this.getAttribute(\"$index\");\n\tthis.filtertags = this.getAttribute(\"$tags\");\n};\n/**\n * \tRefresh the widget by ensuring our attributes are up to date\n */\nActionListopsWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.$tiddler || changedAttributes.$filter ||\n\t\tchangedAttributes.$subfilter || changedAttributes.$field ||\n\t\tchangedAttributes.$index || changedAttributes.$tags) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n/**\n * \tInvoke the action associated with this widget\n */\nActionListopsWidget.prototype.invokeAction = function(triggeringWidget,\n\tevent) {\n\t//Apply the specified filters to the lists\n\tvar field = this.listField,\n\t\tindex,\n\t\ttype = \"!!\",\n\t\tlist = this.listField;\n\tif(this.listIndex) {\n\t\tfield = undefined;\n\t\tindex = this.listIndex;\n\t\ttype = \"##\";\n\t\tlist = this.listIndex;\n\t}\n\tif(this.filter) {\n\t\tthis.wiki.setText(this.target, field, index, $tw.utils.stringifyList(\n\t\t\tthis.wiki\n\t\t\t.filterTiddlers(this.filter, this)));\n\t}\n\tif(this.subfilter) {\n\t\tvar subfilter = \"[list[\" + this.target + type + list + \"]] \" + this.subfilter;\n\t\tthis.wiki.setText(this.target, field, index, $tw.utils.stringifyList(\n\t\t\tthis.wiki\n\t\t\t.filterTiddlers(subfilter, this)));\n\t}\n\tif(this.filtertags) {\n\t\tvar tiddler = this.wiki.getTiddler(this.target),\n\t\t\toldtags = tiddler ? (tiddler.fields.tags || []).slice(0) : [],\n\t\t\ttagfilter = \"[list[\" + this.target + \"!!tags]] \" + this.filtertags,\n\t\t\tnewtags = this.wiki.filterTiddlers(tagfilter,this);\n\t\tif($tw.utils.stringifyList(oldtags.sort()) !== $tw.utils.stringifyList(newtags.sort())) {\n\t\t\tthis.wiki.setText(this.target,\"tags\",undefined,$tw.utils.stringifyList(newtags));\t\t\t\n\t\t}\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-listops\"] = ActionListopsWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-navigate.js": {
"title": "$:/core/modules/widgets/action-navigate.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-navigate.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to navigate to a tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar NavigateWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nNavigateWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nNavigateWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nNavigateWidget.prototype.execute = function() {\n\tthis.actionTo = this.getAttribute(\"$to\");\n\tthis.actionScroll = this.getAttribute(\"$scroll\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nNavigateWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$to\"] || changedAttributes[\"$scroll\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nNavigateWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tevent = event || {};\n\tvar bounds = triggeringWidget && triggeringWidget.getBoundingClientRect && triggeringWidget.getBoundingClientRect(),\n\t\tsuppressNavigation = event.metaKey || event.ctrlKey || (event.button === 1);\n\tif(this.actionScroll === \"yes\") {\n\t\tsuppressNavigation = false;\n\t} else if(this.actionScroll === \"no\") {\n\t\tsuppressNavigation = true;\n\t}\n\tthis.dispatchEvent({\n\t\ttype: \"tm-navigate\",\n\t\tnavigateTo: this.actionTo === undefined ? this.getVariable(\"currentTiddler\") : this.actionTo,\n\t\tnavigateFromTitle: this.getVariable(\"storyTiddler\"),\n\t\tnavigateFromNode: triggeringWidget,\n\t\tnavigateFromClientRect: bounds && { top: bounds.top, left: bounds.left, width: bounds.width, right: bounds.right, bottom: bounds.bottom, height: bounds.height\n\t\t},\n\t\tnavigateSuppressNavigation: suppressNavigation\n\t});\n\treturn true; // Action was invoked\n};\n\nexports[\"action-navigate\"] = NavigateWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-popup.js": {
"title": "$:/core/modules/widgets/action-popup.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-popup.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to trigger a popup.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ActionPopupWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nActionPopupWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nActionPopupWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nActionPopupWidget.prototype.execute = function() {\n\tthis.actionState = this.getAttribute(\"$state\");\n\tthis.actionCoords = this.getAttribute(\"$coords\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nActionPopupWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$state\"] || changedAttributes[\"$coords\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nActionPopupWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\t// Trigger the popup\n\tvar popupLocationRegExp = /^\\((-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+)\\)$/,\n\t\tmatch = popupLocationRegExp.exec(this.actionCoords);\n\tif(match) {\n\t\t$tw.popup.triggerPopup({\n\t\t\tdomNode: null,\n\t\t\tdomNodeRect: {\n\t\t\t\tleft: parseFloat(match[1]),\n\t\t\t\ttop: parseFloat(match[2]),\n\t\t\t\twidth: parseFloat(match[3]),\n\t\t\t\theight: parseFloat(match[4])\n\t\t\t},\n\t\t\ttitle: this.actionState,\n\t\t\twiki: this.wiki\n\t\t});\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-popup\"] = ActionPopupWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-sendmessage.js": {
"title": "$:/core/modules/widgets/action-sendmessage.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-sendmessage.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to send a message\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar SendMessageWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSendMessageWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSendMessageWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nSendMessageWidget.prototype.execute = function() {\n\tthis.actionMessage = this.getAttribute(\"$message\");\n\tthis.actionParam = this.getAttribute(\"$param\");\n\tthis.actionName = this.getAttribute(\"$name\");\n\tthis.actionValue = this.getAttribute(\"$value\",\"\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nSendMessageWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(Object.keys(changedAttributes).length) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nSendMessageWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\t// Get the string parameter\n\tvar param = this.actionParam;\n\t// Assemble the attributes as a hashmap\n\tvar paramObject = Object.create(null);\n\tvar count = 0;\n\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\tif(name.charAt(0) !== \"$\") {\n\t\t\tparamObject[name] = attribute;\n\t\t\tcount++;\n\t\t}\n\t});\n\t// Add name/value pair if present\n\tif(this.actionName) {\n\t\tparamObject[this.actionName] = this.actionValue;\n\t}\n\t// Dispatch the message\n\tthis.dispatchEvent({\n\t\ttype: this.actionMessage,\n\t\tparam: param,\n\t\tparamObject: paramObject,\n\t\ttiddlerTitle: this.getVariable(\"currentTiddler\"),\n\t\tnavigateFromTitle: this.getVariable(\"storyTiddler\"),\n\t\tevent: event\n\t});\n\treturn true; // Action was invoked\n};\n\nexports[\"action-sendmessage\"] = SendMessageWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-setfield.js": {
"title": "$:/core/modules/widgets/action-setfield.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/action-setfield.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to set a single field or index on a tiddler.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar SetFieldWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSetFieldWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSetFieldWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nSetFieldWidget.prototype.execute = function() {\n\tthis.actionTiddler = this.getAttribute(\"$tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.actionField = this.getAttribute(\"$field\");\n\tthis.actionIndex = this.getAttribute(\"$index\");\n\tthis.actionValue = this.getAttribute(\"$value\");\n\tthis.actionTimestamp = this.getAttribute(\"$timestamp\",\"yes\") === \"yes\";\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nSetFieldWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$tiddler\"] || changedAttributes[\"$field\"] || changedAttributes[\"$index\"] || changedAttributes[\"$value\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nSetFieldWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar self = this,\n\t\toptions = {};\n\toptions.suppressTimestamp = !this.actionTimestamp;\n\tif((typeof this.actionField == \"string\") || (typeof this.actionIndex == \"string\") || (typeof this.actionValue == \"string\")) {\n\t\tthis.wiki.setText(this.actionTiddler,this.actionField,this.actionIndex,this.actionValue,options);\n\t}\n\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\tif(name.charAt(0) !== \"$\") {\n\t\t\tself.wiki.setText(self.actionTiddler,name,undefined,attribute,options);\n\t\t}\n\t});\n\treturn true; // Action was invoked\n};\n\nexports[\"action-setfield\"] = SetFieldWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/browse.js": {
"title": "$:/core/modules/widgets/browse.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/browse.js\ntype: application/javascript\nmodule-type: widget\n\nBrowse widget for browsing for files to import\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar BrowseWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nBrowseWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nBrowseWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\tvar domNode = this.document.createElement(\"input\");\n\tdomNode.setAttribute(\"type\",\"file\");\n\tif(this.browseMultiple) {\n\t\tdomNode.setAttribute(\"multiple\",\"multiple\");\n\t}\n\tif(this.tooltip) {\n\t\tdomNode.setAttribute(\"title\",this.tooltip);\n\t}\n\t// Nw.js supports \"nwsaveas\" to force a \"save as\" dialogue that allows a new or existing file to be selected\n\tif(this.nwsaveas) {\n\t\tdomNode.setAttribute(\"nwsaveas\",this.nwsaveas);\n\t}\n\t// Nw.js supports \"webkitdirectory\" and \"nwdirectory\" to allow a directory to be selected\n\tif(this.webkitdirectory) {\n\t\tdomNode.setAttribute(\"webkitdirectory\",this.webkitdirectory);\n\t}\n\tif(this.nwdirectory) {\n\t\tdomNode.setAttribute(\"nwdirectory\",this.nwdirectory);\n\t}\n\t// Add a click event handler\n\tdomNode.addEventListener(\"change\",function (event) {\n\t\tif(self.message) {\n\t\t\tself.dispatchEvent({type: self.message, param: self.param, files: event.target.files});\n\t\t} else {\n\t\t\tself.wiki.readFiles(event.target.files,{\n\t\t\t\tcallback: function(tiddlerFieldsArray) {\n\t\t\t\t\tself.dispatchEvent({type: \"tm-import-tiddlers\", param: JSON.stringify(tiddlerFieldsArray)});\n\t\t\t\t},\n\t\t\t\tdeserializer: self.deserializer\n\t\t\t});\n\t\t}\n\t\treturn false;\n\t},false);\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nBrowseWidget.prototype.execute = function() {\n\tthis.browseMultiple = this.getAttribute(\"multiple\");\n\tthis.deserializer = this.getAttribute(\"deserializer\");\n\tthis.message = this.getAttribute(\"message\");\n\tthis.param = this.getAttribute(\"param\");\n\tthis.tooltip = this.getAttribute(\"tooltip\");\n\tthis.nwsaveas = this.getAttribute(\"nwsaveas\");\n\tthis.webkitdirectory = this.getAttribute(\"webkitdirectory\");\n\tthis.nwdirectory = this.getAttribute(\"nwdirectory\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nBrowseWidget.prototype.refresh = function(changedTiddlers) {\n\treturn false;\n};\n\nexports.browse = BrowseWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/button.js": {
"title": "$:/core/modules/widgets/button.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/button.js\ntype: application/javascript\nmodule-type: widget\n\nButton widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ButtonWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nButtonWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nButtonWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\tvar tag = \"button\";\n\tif(this.buttonTag && $tw.config.htmlUnsafeElements.indexOf(this.buttonTag) === -1) {\n\t\ttag = this.buttonTag;\n\t}\n\tvar domNode = this.document.createElement(tag);\n\t// Assign classes\n\tvar classes = this[\"class\"].split(\" \") || [],\n\t\tisPoppedUp = (this.popup || this.popupTitle) && this.isPoppedUp();\n\tif(this.selectedClass) {\n\t\tif((this.set || this.setTitle) && this.setTo && this.isSelected()) {\n\t\t\t$tw.utils.pushTop(classes,this.selectedClass.split(\" \"));\n\t\t}\n\t\tif(isPoppedUp) {\n\t\t\t$tw.utils.pushTop(classes,this.selectedClass.split(\" \"));\n\t\t}\n\t}\n\tif(isPoppedUp) {\n\t\t$tw.utils.pushTop(classes,\"tc-popup-handle\");\n\t}\n\tdomNode.className = classes.join(\" \");\n\t// Assign other attributes\n\tif(this.style) {\n\t\tdomNode.setAttribute(\"style\",this.style);\n\t}\n\tif(this.tooltip) {\n\t\tdomNode.setAttribute(\"title\",this.tooltip);\n\t}\n\tif(this[\"aria-label\"]) {\n\t\tdomNode.setAttribute(\"aria-label\",this[\"aria-label\"]);\n\t}\n\t// Set the tabindex\n\tif(this.tabIndex) {\n\t\tdomNode.setAttribute(\"tabindex\",this.tabIndex);\n\t}\t\n\t// Add a click event handler\n\tdomNode.addEventListener(\"click\",function (event) {\n\t\tvar handled = false;\n\t\tif(self.invokeActions(self,event)) {\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.to) {\n\t\t\tself.navigateTo(event);\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.message) {\n\t\t\tself.dispatchMessage(event);\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.popup || self.popupTitle) {\n\t\t\tself.triggerPopup(event);\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.set || self.setTitle) {\n\t\t\tself.setTiddler();\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.actions) {\n\t\t\tself.invokeActionString(self.actions,self,event);\n\t\t}\n\t\tif(handled) {\n\t\t\tevent.preventDefault();\n\t\t\tevent.stopPropagation();\n\t\t}\n\t\treturn handled;\n\t},false);\n\t// Make it draggable if required\n\tif(this.dragTiddler || this.dragFilter) {\n\t\t$tw.utils.makeDraggable({\n\t\t\tdomNode: domNode,\n\t\t\tdragTiddlerFn: function() {return self.dragTiddler;},\n\t\t\tdragFilterFn: function() {return self.dragFilter;},\n\t\t\twidget: this\n\t\t});\n\t}\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nWe don't allow actions to propagate because we trigger actions ourselves\n*/\nButtonWidget.prototype.allowActionPropagation = function() {\n\treturn false;\n};\n\nButtonWidget.prototype.getBoundingClientRect = function() {\n\treturn this.domNodes[0].getBoundingClientRect();\n};\n\nButtonWidget.prototype.isSelected = function() {\n return this.setTitle ? (this.setField ? this.wiki.getTiddler(this.setTitle).getFieldString(this.setField) === this.setTo :\n\t\t(this.setIndex ? this.wiki.extractTiddlerDataItem(this.setTitle,this.setIndex) === this.setTo :\n\t\t\tthis.wiki.getTiddlerText(this.setTitle))) || this.defaultSetValue || this.getVariable(\"currentTiddler\") :\n\t\tthis.wiki.getTextReference(this.set,this.defaultSetValue,this.getVariable(\"currentTiddler\")) === this.setTo;\n};\n\nButtonWidget.prototype.isPoppedUp = function() {\n\tvar tiddler = this.popupTitle ? this.wiki.getTiddler(this.popupTitle) : this.wiki.getTiddler(this.popup);\n\tvar result = tiddler && tiddler.fields.text ? $tw.popup.readPopupState(tiddler.fields.text) : false;\n\treturn result;\n};\n\nButtonWidget.prototype.navigateTo = function(event) {\n\tvar bounds = this.getBoundingClientRect();\n\tthis.dispatchEvent({\n\t\ttype: \"tm-navigate\",\n\t\tnavigateTo: this.to,\n\t\tnavigateFromTitle: this.getVariable(\"storyTiddler\"),\n\t\tnavigateFromNode: this,\n\t\tnavigateFromClientRect: { top: bounds.top, left: bounds.left, width: bounds.width, right: bounds.right, bottom: bounds.bottom, height: bounds.height\n\t\t},\n\t\tnavigateSuppressNavigation: event.metaKey || event.ctrlKey || (event.button === 1),\n\t\tevent: event\n\t});\n};\n\nButtonWidget.prototype.dispatchMessage = function(event) {\n\tthis.dispatchEvent({type: this.message, param: this.param, tiddlerTitle: this.getVariable(\"currentTiddler\"), event: event});\n};\n\nButtonWidget.prototype.triggerPopup = function(event) {\n\tif(this.popupTitle) {\n\t\t$tw.popup.triggerPopup({\n\t\t\tdomNode: this.domNodes[0],\n\t\t\ttitle: this.popupTitle,\n\t\t\twiki: this.wiki,\n\t\t\tnoStateReference: true\n\t\t});\n\t} else {\n\t\t$tw.popup.triggerPopup({\n\t\t\tdomNode: this.domNodes[0],\n\t\t\ttitle: this.popup,\n\t\t\twiki: this.wiki\n\t\t});\n\t}\n};\n\nButtonWidget.prototype.setTiddler = function() {\n\tif(this.setTitle) {\n\t\tthis.setField ? this.wiki.setText(this.setTitle,this.setField,undefined,this.setTo) :\n\t\t\t\t(this.setIndex ? this.wiki.setText(this.setTitle,undefined,this.setIndex,this.setTo) :\n\t\t\t\tthis.wiki.setText(this.setTitle,\"text\",undefined,this.setTo));\n\t} else {\n\t\tthis.wiki.setTextReference(this.set,this.setTo,this.getVariable(\"currentTiddler\"));\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nButtonWidget.prototype.execute = function() {\n\t// Get attributes\n\tthis.actions = this.getAttribute(\"actions\");\n\tthis.to = this.getAttribute(\"to\");\n\tthis.message = this.getAttribute(\"message\");\n\tthis.param = this.getAttribute(\"param\");\n\tthis.set = this.getAttribute(\"set\");\n\tthis.setTo = this.getAttribute(\"setTo\");\n\tthis.popup = this.getAttribute(\"popup\");\n\tthis.hover = this.getAttribute(\"hover\");\n\tthis[\"class\"] = this.getAttribute(\"class\",\"\");\n\tthis[\"aria-label\"] = this.getAttribute(\"aria-label\");\n\tthis.tooltip = this.getAttribute(\"tooltip\");\n\tthis.style = this.getAttribute(\"style\");\n\tthis.selectedClass = this.getAttribute(\"selectedClass\");\n\tthis.defaultSetValue = this.getAttribute(\"default\",\"\");\n\tthis.buttonTag = this.getAttribute(\"tag\");\n\tthis.dragTiddler = this.getAttribute(\"dragTiddler\");\n\tthis.dragFilter = this.getAttribute(\"dragFilter\");\n\tthis.setTitle = this.getAttribute(\"setTitle\");\n\tthis.setField = this.getAttribute(\"setField\");\n\tthis.setIndex = this.getAttribute(\"setIndex\");\n\tthis.popupTitle = this.getAttribute(\"popupTitle\");\n\tthis.tabIndex = this.getAttribute(\"tabindex\");\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nButtonWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.actions || changedAttributes.to || changedAttributes.message || changedAttributes.param || changedAttributes.set || changedAttributes.setTo || changedAttributes.popup || changedAttributes.hover || changedAttributes[\"class\"] || changedAttributes.selectedClass || changedAttributes.style || changedAttributes.dragFilter || changedAttributes.dragTiddler || (this.set && changedTiddlers[this.set]) || (this.popup && changedTiddlers[this.popup]) || (this.popupTitle && changedTiddlers[this.popupTitle]) || changedAttributes.setTitle || changedAttributes.setField || changedAttributes.setIndex || changedAttributes.popupTitle) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.button = ButtonWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/checkbox.js": {
"title": "$:/core/modules/widgets/checkbox.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/checkbox.js\ntype: application/javascript\nmodule-type: widget\n\nCheckbox widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar CheckboxWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nCheckboxWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nCheckboxWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Create our elements\n\tthis.labelDomNode = this.document.createElement(\"label\");\n\tthis.labelDomNode.setAttribute(\"class\",this.checkboxClass);\n\tthis.inputDomNode = this.document.createElement(\"input\");\n\tthis.inputDomNode.setAttribute(\"type\",\"checkbox\");\n\tif(this.getValue()) {\n\t\tthis.inputDomNode.setAttribute(\"checked\",\"true\");\n\t}\n\tthis.labelDomNode.appendChild(this.inputDomNode);\n\tthis.spanDomNode = this.document.createElement(\"span\");\n\tthis.labelDomNode.appendChild(this.spanDomNode);\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(this.inputDomNode,[\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleChangeEvent\"}\n\t]);\n\t// Insert the label into the DOM and render any children\n\tparent.insertBefore(this.labelDomNode,nextSibling);\n\tthis.renderChildren(this.spanDomNode,null);\n\tthis.domNodes.push(this.labelDomNode);\n};\n\nCheckboxWidget.prototype.getValue = function() {\n\tvar tiddler = this.wiki.getTiddler(this.checkboxTitle);\n\tif(tiddler) {\n\t\tif(this.checkboxTag) {\n\t\t\tif(this.checkboxInvertTag) {\n\t\t\t\treturn !tiddler.hasTag(this.checkboxTag);\n\t\t\t} else {\n\t\t\t\treturn tiddler.hasTag(this.checkboxTag);\n\t\t\t}\n\t\t}\n\t\tif(this.checkboxField) {\n\t\t\tvar value;\n\t\t\tif($tw.utils.hop(tiddler.fields,this.checkboxField)) {\n\t\t\t\tvalue = tiddler.fields[this.checkboxField] || \"\";\n\t\t\t} else {\n\t\t\t\tvalue = this.checkboxDefault || \"\";\n\t\t\t}\n\t\t\tif(value === this.checkboxChecked) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t\tif(value === this.checkboxUnchecked) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t}\n\t\tif(this.checkboxIndex) {\n\t\t\tvar value = this.wiki.extractTiddlerDataItem(tiddler,this.checkboxIndex,this.checkboxDefault || \"\");\n\t\t\tif(value === this.checkboxChecked) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t\tif(value === this.checkboxUnchecked) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t}\n\t} else {\n\t\tif(this.checkboxTag) {\n\t\t\treturn false;\n\t\t}\n\t\tif(this.checkboxField) {\n\t\t\tif(this.checkboxDefault === this.checkboxChecked) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t\tif(this.checkboxDefault === this.checkboxUnchecked) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t}\n\t}\n\treturn false;\n};\n\nCheckboxWidget.prototype.handleChangeEvent = function(event) {\n\tvar checked = this.inputDomNode.checked,\n\t\ttiddler = this.wiki.getTiddler(this.checkboxTitle),\n\t\tfallbackFields = {text: \"\"},\n\t\tnewFields = {title: this.checkboxTitle},\n\t\thasChanged = false,\n\t\ttagCheck = false,\n\t\thasTag = tiddler && tiddler.hasTag(this.checkboxTag),\n\t\tvalue = checked ? this.checkboxChecked : this.checkboxUnchecked;\n\tif(this.checkboxTag && this.checkboxInvertTag === \"yes\") {\n\t\ttagCheck = hasTag === checked;\n\t} else {\n\t\ttagCheck = hasTag !== checked;\n\t}\n\t// Set the tag if specified\n\tif(this.checkboxTag && (!tiddler || tagCheck)) {\n\t\tnewFields.tags = tiddler ? (tiddler.fields.tags || []).slice(0) : [];\n\t\tvar pos = newFields.tags.indexOf(this.checkboxTag);\n\t\tif(pos !== -1) {\n\t\t\tnewFields.tags.splice(pos,1);\n\t\t}\n\t\tif(this.checkboxInvertTag === \"yes\" && !checked) {\n\t\t\tnewFields.tags.push(this.checkboxTag);\n\t\t} else if(this.checkboxInvertTag !== \"yes\" && checked) {\n\t\t\tnewFields.tags.push(this.checkboxTag);\n\t\t}\n\t\thasChanged = true;\n\t}\n\t// Set the field if specified\n\tif(this.checkboxField) {\n\t\tif(!tiddler || tiddler.fields[this.checkboxField] !== value) {\n\t\t\tnewFields[this.checkboxField] = value;\n\t\t\thasChanged = true;\n\t\t}\n\t}\n\t// Set the index if specified\n\tif(this.checkboxIndex) {\n\t\tvar indexValue = this.wiki.extractTiddlerDataItem(this.checkboxTitle,this.checkboxIndex);\n\t\tif(!tiddler || indexValue !== value) {\n\t\t\thasChanged = true;\n\t\t}\n\t}\n\tif(hasChanged) {\n\t\tif(this.checkboxIndex) {\n\t\t\tthis.wiki.setText(this.checkboxTitle,\"\",this.checkboxIndex,value);\n\t\t} else {\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(this.wiki.getCreationFields(),fallbackFields,tiddler,newFields,this.wiki.getModificationFields()));\n\t\t}\n\t}\n\t// Trigger actions\n\tif(this.checkboxActions) {\n\t\tthis.invokeActionString(this.checkboxActions,this,event);\n\t}\n\tif(this.checkboxCheckActions && checked) {\n\t\tthis.invokeActionString(this.checkboxCheckActions,this,event);\n\t}\n\tif(this.checkboxUncheckActions && !checked) {\n\t\tthis.invokeActionString(this.checkboxUncheckActions,this,event);\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nCheckboxWidget.prototype.execute = function() {\n\t// Get the parameters from the attributes\n\tthis.checkboxActions = this.getAttribute(\"actions\");\n\tthis.checkboxCheckActions = this.getAttribute(\"checkactions\");\n\tthis.checkboxUncheckActions = this.getAttribute(\"uncheckactions\");\n\tthis.checkboxTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.checkboxTag = this.getAttribute(\"tag\");\n\tthis.checkboxField = this.getAttribute(\"field\");\n\tthis.checkboxIndex = this.getAttribute(\"index\");\n\tthis.checkboxChecked = this.getAttribute(\"checked\");\n\tthis.checkboxUnchecked = this.getAttribute(\"unchecked\");\n\tthis.checkboxDefault = this.getAttribute(\"default\");\n\tthis.checkboxClass = this.getAttribute(\"class\",\"\");\n\tthis.checkboxInvertTag = this.getAttribute(\"invertTag\",\"\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nCheckboxWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.tag || changedAttributes.invertTag || changedAttributes.field || changedAttributes.index || changedAttributes.checked || changedAttributes.unchecked || changedAttributes[\"default\"] || changedAttributes[\"class\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\tvar refreshed = false;\n\t\tif(changedTiddlers[this.checkboxTitle]) {\n\t\t\tthis.inputDomNode.checked = this.getValue();\n\t\t\trefreshed = true;\n\t\t}\n\t\treturn this.refreshChildren(changedTiddlers) || refreshed;\n\t}\n};\n\nexports.checkbox = CheckboxWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/codeblock.js": {
"title": "$:/core/modules/widgets/codeblock.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/codeblock.js\ntype: application/javascript\nmodule-type: widget\n\nCode block node widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar CodeBlockWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nCodeBlockWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nCodeBlockWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar codeNode = this.document.createElement(\"code\"),\n\t\tdomNode = this.document.createElement(\"pre\");\n\tcodeNode.appendChild(this.document.createTextNode(this.getAttribute(\"code\")));\n\tdomNode.appendChild(codeNode);\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.domNodes.push(domNode);\n\tif(this.postRender) {\n\t\tthis.postRender();\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nCodeBlockWidget.prototype.execute = function() {\n\tthis.language = this.getAttribute(\"language\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nCodeBlockWidget.prototype.refresh = function(changedTiddlers) {\n\treturn false;\n};\n\nexports.codeblock = CodeBlockWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/count.js": {
"title": "$:/core/modules/widgets/count.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/count.js\ntype: application/javascript\nmodule-type: widget\n\nCount widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar CountWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nCountWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nCountWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar textNode = this.document.createTextNode(this.currentCount);\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nCountWidget.prototype.execute = function() {\n\t// Get parameters from our attributes\n\tthis.filter = this.getAttribute(\"filter\");\n\t// Execute the filter\n\tif(this.filter) {\n\t\tthis.currentCount = this.wiki.filterTiddlers(this.filter,this).length;\n\t} else {\n\t\tthis.currentCount = \"0\";\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nCountWidget.prototype.refresh = function(changedTiddlers) {\n\t// Re-execute the filter to get the count\n\tthis.computeAttributes();\n\tvar oldCount = this.currentCount;\n\tthis.execute();\n\tif(this.currentCount !== oldCount) {\n\t\t// Regenerate and rerender the widget and replace the existing DOM node\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n\n};\n\nexports.count = CountWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/diff-text.js": {
"title": "$:/core/modules/widgets/diff-text.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/diff-text.js\ntype: application/javascript\nmodule-type: widget\n\nWidget to display a diff between two texts\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget,\n\tdmp = require(\"$:/core/modules/utils/diff-match-patch/diff_match_patch.js\");\n\nvar DiffTextWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDiffTextWidget.prototype = new Widget();\n\nDiffTextWidget.prototype.invisibleCharacters = {\n\t\"\\n\": \"↩︎\\n\",\n\t\"\\r\": \"⇠\",\n\t\"\\t\": \"⇥\\t\"\n};\n\n/*\nRender this widget into the DOM\n*/\nDiffTextWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create the diff\n\tvar dmpObject = new dmp.diff_match_patch(),\n\t\tdiffs = dmpObject.diff_main(this.getAttribute(\"source\"),this.getAttribute(\"dest\"));\n\t// Apply required cleanup\n\tswitch(this.getAttribute(\"cleanup\",\"semantic\")) {\n\t\tcase \"none\":\n\t\t\t// No cleanup\n\t\t\tbreak;\n\t\tcase \"efficiency\":\n\t\t\tdmpObject.diff_cleanupEfficiency(diffs);\n\t\t\tbreak;\n\t\tdefault: // case \"semantic\"\n\t\t\tdmpObject.diff_cleanupSemantic(diffs);\n\t\t\tbreak;\n\t}\n\t// Create the elements\n\tvar domContainer = this.document.createElement(\"div\"), \n\t\tdomDiff = this.createDiffDom(diffs);\n\tparent.insertBefore(domContainer,nextSibling);\n\t// Set variables\n\tthis.setVariable(\"diff-count\",diffs.reduce(function(acc,diff) {\n\t\tif(diff[0] !== dmp.DIFF_EQUAL) {\n\t\t\tacc++;\n\t\t}\n\t\treturn acc;\n\t},0).toString());\n\t// Render child widgets\n\tthis.renderChildren(domContainer,null);\n\t// Render the diff\n\tdomContainer.appendChild(domDiff);\n\t// Save our container\n\tthis.domNodes.push(domContainer);\n};\n\n/*\nCreate DOM elements representing a list of diffs\n*/\nDiffTextWidget.prototype.createDiffDom = function(diffs) {\n\tvar self = this;\n\t// Create the element and assign the attributes\n\tvar domPre = this.document.createElement(\"pre\"),\n\t\tdomCode = this.document.createElement(\"code\");\n\t$tw.utils.each(diffs,function(diff) {\n\t\tvar tag = diff[0] === dmp.DIFF_INSERT ? \"ins\" : (diff[0] === dmp.DIFF_DELETE ? \"del\" : \"span\"),\n\t\t\tclassName = diff[0] === dmp.DIFF_INSERT ? \"tc-diff-insert\" : (diff[0] === dmp.DIFF_DELETE ? \"tc-diff-delete\" : \"tc-diff-equal\"),\n\t\t\tdom = self.document.createElement(tag),\n\t\t\ttext = diff[1],\n\t\t\tcurrPos = 0,\n\t\t\tre = /([\\x00-\\x1F])/mg,\n\t\t\tmatch = re.exec(text),\n\t\t\tspan,\n\t\t\tprintable;\n\t\tdom.className = className;\n\t\twhile(match) {\n\t\t\tif(currPos < match.index) {\n\t\t\t\tdom.appendChild(self.document.createTextNode(text.slice(currPos,match.index)));\n\t\t\t}\n\t\t\tspan = self.document.createElement(\"span\");\n\t\t\tspan.className = \"tc-diff-invisible\";\n\t\t\tprintable = self.invisibleCharacters[match[0]] || (\"[0x\" + match[0].charCodeAt(0).toString(16) + \"]\");\n\t\t\tspan.appendChild(self.document.createTextNode(printable));\n\t\t\tdom.appendChild(span);\n\t\t\tcurrPos = match.index + match[0].length;\n\t\t\tmatch = re.exec(text);\n\t\t}\n\t\tif(currPos < text.length) {\n\t\t\tdom.appendChild(self.document.createTextNode(text.slice(currPos)));\n\t\t}\n\t\tdomCode.appendChild(dom);\n\t});\n\tdomPre.appendChild(domCode);\n\treturn domPre;\n};\n\n/*\nCompute the internal state of the widget\n*/\nDiffTextWidget.prototype.execute = function() {\n\t// Make child widgets\n\tvar parseTreeNodes;\n\tif(this.parseTreeNode && this.parseTreeNode.children && this.parseTreeNode.children.length > 0) {\n\t\tparseTreeNodes = this.parseTreeNode.children;\n\t} else {\n\t\tparseTreeNodes = [{\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: \"$:/language/Diffs/CountMessage\"}\n\t\t\t}\n\t\t}];\n\t}\n\tthis.makeChildWidgets(parseTreeNodes);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nDiffTextWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.source || changedAttributes.dest || changedAttributes.cleanup) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports[\"diff-text\"] = DiffTextWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/draggable.js": {
"title": "$:/core/modules/widgets/draggable.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/draggable.js\ntype: application/javascript\nmodule-type: widget\n\nDraggable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DraggableWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDraggableWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDraggableWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Sanitise the specified tag\n\tvar tag = this.draggableTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"div\";\n\t}\n\t// Create our element\n\tvar domNode = this.document.createElement(tag);\n\t// Assign classes\n\tvar classes = [\"tc-draggable\"];\n\tif(this.draggableClasses) {\n\t\tclasses.push(this.draggableClasses);\n\t}\n\tdomNode.setAttribute(\"class\",classes.join(\" \"));\n\t// Add event handlers\n\t$tw.utils.makeDraggable({\n\t\tdomNode: domNode,\n\t\tdragTiddlerFn: function() {return self.getAttribute(\"tiddler\");},\n\t\tdragFilterFn: function() {return self.getAttribute(\"filter\");},\n\t\tstartActions: self.startActions,\n\t\tendActions: self.endActions,\n\t\twidget: this\n\t});\n\t// Insert the link into the DOM and render any children\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nDraggableWidget.prototype.execute = function() {\n\t// Pick up our attributes\n\tthis.draggableTag = this.getAttribute(\"tag\",\"div\");\n\tthis.draggableClasses = this.getAttribute(\"class\");\n\tthis.startActions = this.getAttribute(\"startactions\");\n\tthis.endActions = this.getAttribute(\"endactions\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nDraggableWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tag || changedAttributes[\"class\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.draggable = DraggableWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/droppable.js": {
"title": "$:/core/modules/widgets/droppable.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/droppable.js\ntype: application/javascript\nmodule-type: widget\n\nDroppable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DroppableWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDroppableWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDroppableWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar tag = this.parseTreeNode.isBlock ? \"div\" : \"span\";\n\tif(this.droppableTag && $tw.config.htmlUnsafeElements.indexOf(this.droppableTag) === -1) {\n\t\ttag = this.droppableTag;\n\t}\n\t// Create element and assign classes\n\tvar domNode = this.document.createElement(tag),\n\t\tclasses = (this[\"class\"] || \"\").split(\" \");\n\tclasses.push(\"tc-droppable\");\n\tdomNode.className = classes.join(\" \");\n\t// Add event handlers\n\tif(this.droppableEnable) {\n\t\t$tw.utils.addEventListeners(domNode,[\n\t\t\t{name: \"dragenter\", handlerObject: this, handlerMethod: \"handleDragEnterEvent\"},\n\t\t\t{name: \"dragover\", handlerObject: this, handlerMethod: \"handleDragOverEvent\"},\n\t\t\t{name: \"dragleave\", handlerObject: this, handlerMethod: \"handleDragLeaveEvent\"},\n\t\t\t{name: \"drop\", handlerObject: this, handlerMethod: \"handleDropEvent\"}\n\t\t]);\t\t\n\t}\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n\t// Stack of outstanding enter/leave events\n\tthis.currentlyEntered = [];\n};\n\nDroppableWidget.prototype.enterDrag = function(event) {\n\tif(this.currentlyEntered.indexOf(event.target) === -1) {\n\t\tthis.currentlyEntered.push(event.target);\n\t}\n\t// If we're entering for the first time we need to apply highlighting\n\t$tw.utils.addClass(this.domNodes[0],\"tc-dragover\");\n};\n\nDroppableWidget.prototype.leaveDrag = function(event) {\n\tvar pos = this.currentlyEntered.indexOf(event.target);\n\tif(pos !== -1) {\n\t\tthis.currentlyEntered.splice(pos,1);\n\t}\n\t// Remove highlighting if we're leaving externally. The hacky second condition is to resolve a problem with Firefox whereby there is an erroneous dragenter event if the node being dragged is within the dropzone\n\tif(this.currentlyEntered.length === 0 || (this.currentlyEntered.length === 1 && this.currentlyEntered[0] === $tw.dragInProgress)) {\n\t\tthis.currentlyEntered = [];\n\t\t$tw.utils.removeClass(this.domNodes[0],\"tc-dragover\");\n\t}\n};\n\nDroppableWidget.prototype.handleDragEnterEvent = function(event) {\n\tthis.enterDrag(event);\n\t// Tell the browser that we're ready to handle the drop\n\tevent.preventDefault();\n\t// Tell the browser not to ripple the drag up to any parent drop handlers\n\tevent.stopPropagation();\n\treturn false;\n};\n\nDroppableWidget.prototype.handleDragOverEvent = function(event) {\n\t// Check for being over a TEXTAREA or INPUT\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) !== -1) {\n\t\treturn false;\n\t}\n\t// Tell the browser that we're still interested in the drop\n\tevent.preventDefault();\n\t// Set the drop effect\n\tevent.dataTransfer.dropEffect = this.droppableEffect;\n\treturn false;\n};\n\nDroppableWidget.prototype.handleDragLeaveEvent = function(event) {\n\tthis.leaveDrag(event);\n\treturn false;\n};\n\nDroppableWidget.prototype.handleDropEvent = function(event) {\n\tvar self = this;\n\tthis.leaveDrag(event);\n\t// Check for being over a TEXTAREA or INPUT\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) !== -1) {\n\t\treturn false;\n\t}\n\tvar dataTransfer = event.dataTransfer;\n\t// Remove highlighting\n\t$tw.utils.removeClass(this.domNodes[0],\"tc-dragover\");\n\t// Try to import the various data types we understand\n\t$tw.utils.importDataTransfer(dataTransfer,null,function(fieldsArray) {\n\t\tfieldsArray.forEach(function(fields) {\n\t\t\tself.performActions(fields.title || fields.text,event);\n\t\t});\n\t});\n\t// Tell the browser that we handled the drop\n\tevent.preventDefault();\n\t// Stop the drop ripple up to any parent handlers\n\tevent.stopPropagation();\n\treturn false;\n};\n\nDroppableWidget.prototype.performActions = function(title,event) {\n\tif(this.droppableActions) {\n\t\tvar modifierKey = event.ctrlKey && ! event.shiftKey ? \"ctrl\" : event.shiftKey && !event.ctrlKey ? \"shift\" : \n\t\t\t\tevent.ctrlKey && event.shiftKey ? \"ctrl-shift\" : \"normal\" ;\n\t\tthis.invokeActionString(this.droppableActions,this,event,{actionTiddler: title, modifier: modifierKey});\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nDroppableWidget.prototype.execute = function() {\n\tthis.droppableActions = this.getAttribute(\"actions\");\n\tthis.droppableEffect = this.getAttribute(\"effect\",\"copy\");\n\tthis.droppableTag = this.getAttribute(\"tag\");\n\tthis.droppableClass = this.getAttribute(\"class\");\n\tthis.droppableEnable = (this.getAttribute(\"enable\") || \"yes\") === \"yes\";\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nDroppableWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"class\"] || changedAttributes.tag || changedAttributes.enable) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.droppable = DroppableWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/dropzone.js": {
"title": "$:/core/modules/widgets/dropzone.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/dropzone.js\ntype: application/javascript\nmodule-type: widget\n\nDropzone widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DropZoneWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDropZoneWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDropZoneWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\tvar domNode = this.document.createElement(\"div\");\n\tdomNode.className = this.dropzoneClass || \"tc-dropzone\";\n\t// Add event handlers\n\tif(this.dropzoneEnable) {\n\t\t$tw.utils.addEventListeners(domNode,[\n\t\t\t{name: \"dragenter\", handlerObject: this, handlerMethod: \"handleDragEnterEvent\"},\n\t\t\t{name: \"dragover\", handlerObject: this, handlerMethod: \"handleDragOverEvent\"},\n\t\t\t{name: \"dragleave\", handlerObject: this, handlerMethod: \"handleDragLeaveEvent\"},\n\t\t\t{name: \"drop\", handlerObject: this, handlerMethod: \"handleDropEvent\"},\n\t\t\t{name: \"paste\", handlerObject: this, handlerMethod: \"handlePasteEvent\"},\n\t\t\t{name: \"dragend\", handlerObject: this, handlerMethod: \"handleDragEndEvent\"}\n\t\t]);\t\t\n\t}\n\tdomNode.addEventListener(\"click\",function (event) {\n\t},false);\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n\t// Stack of outstanding enter/leave events\n\tthis.currentlyEntered = [];\n};\n\nDropZoneWidget.prototype.enterDrag = function(event) {\n\tif(this.currentlyEntered.indexOf(event.target) === -1) {\n\t\tthis.currentlyEntered.push(event.target);\n\t}\n\t// If we're entering for the first time we need to apply highlighting\n\t$tw.utils.addClass(this.domNodes[0],\"tc-dragover\");\n};\n\nDropZoneWidget.prototype.leaveDrag = function(event) {\n\tvar pos = this.currentlyEntered.indexOf(event.target);\n\tif(pos !== -1) {\n\t\tthis.currentlyEntered.splice(pos,1);\n\t}\n\t// Remove highlighting if we're leaving externally\n\tif(this.currentlyEntered.length === 0) {\n\t\t$tw.utils.removeClass(this.domNodes[0],\"tc-dragover\");\n\t}\n};\n\nDropZoneWidget.prototype.handleDragEnterEvent = function(event) {\n\t// Check for this window being the source of the drag\n\tif($tw.dragInProgress) {\n\t\treturn false;\n\t}\n\tthis.enterDrag(event);\n\t// Tell the browser that we're ready to handle the drop\n\tevent.preventDefault();\n\t// Tell the browser not to ripple the drag up to any parent drop handlers\n\tevent.stopPropagation();\n};\n\nDropZoneWidget.prototype.handleDragOverEvent = function(event) {\n\t// Check for being over a TEXTAREA or INPUT\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) !== -1) {\n\t\treturn false;\n\t}\n\t// Check for this window being the source of the drag\n\tif($tw.dragInProgress) {\n\t\treturn false;\n\t}\n\t// Tell the browser that we're still interested in the drop\n\tevent.preventDefault();\n\tevent.dataTransfer.dropEffect = \"copy\"; // Explicitly show this is a copy\n};\n\nDropZoneWidget.prototype.handleDragLeaveEvent = function(event) {\n\tthis.leaveDrag(event);\n};\n\nDropZoneWidget.prototype.handleDragEndEvent = function(event) {\n\t$tw.utils.removeClass(this.domNodes[0],\"tc-dragover\");\n};\n\nDropZoneWidget.prototype.handleDropEvent = function(event) {\n\tvar self = this,\n\t\treadFileCallback = function(tiddlerFieldsArray) {\n\t\t\tself.dispatchEvent({type: \"tm-import-tiddlers\", param: JSON.stringify(tiddlerFieldsArray)});\n\t\t};\n\tthis.leaveDrag(event);\n\t// Check for being over a TEXTAREA or INPUT\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) !== -1) {\n\t\treturn false;\n\t}\n\t// Check for this window being the source of the drag\n\tif($tw.dragInProgress) {\n\t\treturn false;\n\t}\n\tvar self = this,\n\t\tdataTransfer = event.dataTransfer;\n\t// Remove highlighting\n\t$tw.utils.removeClass(this.domNodes[0],\"tc-dragover\");\n\t// Import any files in the drop\n\tvar numFiles = 0;\n\tif(dataTransfer.files) {\n\t\tnumFiles = this.wiki.readFiles(dataTransfer.files,{\n\t\t\tcallback: readFileCallback,\n\t\t\tdeserializer: this.dropzoneDeserializer\n\t\t});\n\t}\n\t// Try to import the various data types we understand\n\tif(numFiles === 0) {\n\t\t$tw.utils.importDataTransfer(dataTransfer,this.wiki.generateNewTitle(\"Untitled\"),readFileCallback);\n\t}\n\t// Tell the browser that we handled the drop\n\tevent.preventDefault();\n\t// Stop the drop ripple up to any parent handlers\n\tevent.stopPropagation();\n};\n\nDropZoneWidget.prototype.handlePasteEvent = function(event) {\n\tvar self = this,\n\t\treadFileCallback = function(tiddlerFieldsArray) {\n\t\t\tself.dispatchEvent({type: \"tm-import-tiddlers\", param: JSON.stringify(tiddlerFieldsArray)});\n\t\t};\n\t// Let the browser handle it if we're in a textarea or input box\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) == -1 && !event.target.isContentEditable) {\n\t\tvar self = this,\n\t\t\titems = event.clipboardData.items;\n\t\t// Enumerate the clipboard items\n\t\tfor(var t = 0; t<items.length; t++) {\n\t\t\tvar item = items[t];\n\t\t\tif(item.kind === \"file\") {\n\t\t\t\t// Import any files\n\t\t\t\tthis.wiki.readFile(item.getAsFile(),{\n\t\t\t\t\tcallback: readFileCallback,\n\t\t\t\t\tdeserializer: this.dropzoneDeserializer\n\t\t\t\t});\n\t\t\t} else if(item.kind === \"string\") {\n\t\t\t\t// Create tiddlers from string items\n\t\t\t\tvar type = item.type;\n\t\t\t\titem.getAsString(function(str) {\n\t\t\t\t\tvar tiddlerFields = {\n\t\t\t\t\t\ttitle: self.wiki.generateNewTitle(\"Untitled\"),\n\t\t\t\t\t\ttext: str,\n\t\t\t\t\t\ttype: type\n\t\t\t\t\t};\n\t\t\t\t\tif($tw.log.IMPORT) {\n\t\t\t\t\t\tconsole.log(\"Importing string '\" + str + \"', type: '\" + type + \"'\");\n\t\t\t\t\t}\n\t\t\t\t\tself.dispatchEvent({type: \"tm-import-tiddlers\", param: JSON.stringify([tiddlerFields])});\n\t\t\t\t});\n\t\t\t}\n\t\t}\n\t\t// Tell the browser that we've handled the paste\n\t\tevent.stopPropagation();\n\t\tevent.preventDefault();\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nDropZoneWidget.prototype.execute = function() {\n\tthis.dropzoneClass = this.getAttribute(\"class\");\n\tthis.dropzoneDeserializer = this.getAttribute(\"deserializer\");\n\tthis.dropzoneEnable = (this.getAttribute(\"enable\") || \"yes\") === \"yes\";\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nDropZoneWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.enable) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.dropzone = DropZoneWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/edit-binary.js": {
"title": "$:/core/modules/widgets/edit-binary.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/edit-binary.js\ntype: application/javascript\nmodule-type: widget\n\nEdit-binary widget; placeholder for editing binary tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar BINARY_WARNING_MESSAGE = \"$:/core/ui/BinaryWarning\";\nvar EXPORT_BUTTON_IMAGE = \"$:/core/images/export-button\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EditBinaryWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEditBinaryWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEditBinaryWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nEditBinaryWidget.prototype.execute = function() {\n\t// Get our parameters\n\tvar editTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tvar tiddler = this.wiki.getTiddler(editTitle);\n\tvar type = tiddler.fields.type;\n\tvar text = tiddler.fields.text;\n\t// Transclude the binary data tiddler warning message\n\tvar warn = {\n\t\ttype: \"element\",\n\t\ttag: \"p\",\n\t\tchildren: [{\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: BINARY_WARNING_MESSAGE}\n\t\t\t}\n\t\t}]\n\t};\n\t// Create download link based on draft tiddler title\n\tvar link = {\n\t\ttype: \"element\",\n\t\ttag: \"a\",\n\t\tattributes: {\n\t\t\ttitle: {type: \"indirect\", textReference: \"!!draft.title\"},\n\t\t\tdownload: {type: \"indirect\", textReference: \"!!draft.title\"}\n\t\t},\n\t\tchildren: [{\n\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: EXPORT_BUTTON_IMAGE}\n\t\t\t}\n\t\t}]\n\t};\n\t// Set the link href to internal data URI (no external)\n\tif(text) {\n\t\tlink.attributes.href = {\n\t\t\ttype: \"string\", \n\t\t\tvalue: \"data:\" + type + \";base64,\" + text\n\t\t};\n\t}\n\t// Combine warning message and download link in a div\n\tvar element = {\n\t\ttype: \"element\",\n\t\ttag: \"div\",\n\t\tattributes: {\n\t\t\tclass: {type: \"string\", value: \"tc-binary-warning\"}\n\t\t},\n\t\tchildren: [warn, link]\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets([element]);\n};\n\n/*\nRefresh by refreshing our child widget\n*/\nEditBinaryWidget.prototype.refresh = function(changedTiddlers) {\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports[\"edit-binary\"] = EditBinaryWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/edit-bitmap.js": {
"title": "$:/core/modules/widgets/edit-bitmap.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/edit-bitmap.js\ntype: application/javascript\nmodule-type: widget\n\nEdit-bitmap widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Default image sizes\nvar DEFAULT_IMAGE_WIDTH = 600,\n\tDEFAULT_IMAGE_HEIGHT = 370,\n\tDEFAULT_IMAGE_TYPE = \"image/png\";\n\n// Configuration tiddlers\nvar LINE_WIDTH_TITLE = \"$:/config/BitmapEditor/LineWidth\",\n\tLINE_COLOUR_TITLE = \"$:/config/BitmapEditor/Colour\",\n\tLINE_OPACITY_TITLE = \"$:/config/BitmapEditor/Opacity\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EditBitmapWidget = function(parseTreeNode,options) {\n\t// Initialise the editor operations if they've not been done already\n\tif(!this.editorOperations) {\n\t\tEditBitmapWidget.prototype.editorOperations = {};\n\t\t$tw.modules.applyMethods(\"bitmapeditoroperation\",this.editorOperations);\n\t}\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEditBitmapWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEditBitmapWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Create the wrapper for the toolbar and render its content\n\tthis.toolbarNode = this.document.createElement(\"div\");\n\tthis.toolbarNode.className = \"tc-editor-toolbar\";\n\tparent.insertBefore(this.toolbarNode,nextSibling);\n\tthis.domNodes.push(this.toolbarNode);\n\t// Create the on-screen canvas\n\tthis.canvasDomNode = $tw.utils.domMaker(\"canvas\",{\n\t\tdocument: this.document,\n\t\t\"class\":\"tc-edit-bitmapeditor\",\n\t\teventListeners: [{\n\t\t\tname: \"touchstart\", handlerObject: this, handlerMethod: \"handleTouchStartEvent\"\n\t\t},{\n\t\t\tname: \"touchmove\", handlerObject: this, handlerMethod: \"handleTouchMoveEvent\"\n\t\t},{\n\t\t\tname: \"touchend\", handlerObject: this, handlerMethod: \"handleTouchEndEvent\"\n\t\t},{\n\t\t\tname: \"mousedown\", handlerObject: this, handlerMethod: \"handleMouseDownEvent\"\n\t\t},{\n\t\t\tname: \"mousemove\", handlerObject: this, handlerMethod: \"handleMouseMoveEvent\"\n\t\t},{\n\t\t\tname: \"mouseup\", handlerObject: this, handlerMethod: \"handleMouseUpEvent\"\n\t\t}]\n\t});\n\t// Set the width and height variables\n\tthis.setVariable(\"tv-bitmap-editor-width\",this.canvasDomNode.width + \"px\");\n\tthis.setVariable(\"tv-bitmap-editor-height\",this.canvasDomNode.height + \"px\");\n\t// Render toolbar child widgets\n\tthis.renderChildren(this.toolbarNode,null);\n\t// // Insert the elements into the DOM\n\tparent.insertBefore(this.canvasDomNode,nextSibling);\n\tthis.domNodes.push(this.canvasDomNode);\n\t// Load the image into the canvas\n\tif($tw.browser) {\n\t\tthis.loadCanvas();\n\t}\n\t// Add widget message listeners\n\tthis.addEventListeners([\n\t\t{type: \"tm-edit-bitmap-operation\", handler: \"handleEditBitmapOperationMessage\"}\n\t]);\n};\n\n/*\nHandle an edit bitmap operation message from the toolbar\n*/\nEditBitmapWidget.prototype.handleEditBitmapOperationMessage = function(event) {\n\t// Invoke the handler\n\tvar handler = this.editorOperations[event.param];\n\tif(handler) {\n\t\thandler.call(this,event);\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nEditBitmapWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.editTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nJust refresh the toolbar\n*/\nEditBitmapWidget.prototype.refresh = function(changedTiddlers) {\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nSet the bitmap size variables and refresh the toolbar\n*/\nEditBitmapWidget.prototype.refreshToolbar = function() {\n\t// Set the width and height variables\n\tthis.setVariable(\"tv-bitmap-editor-width\",this.canvasDomNode.width + \"px\");\n\tthis.setVariable(\"tv-bitmap-editor-height\",this.canvasDomNode.height + \"px\");\n\t// Refresh each of our child widgets\n\t$tw.utils.each(this.children,function(childWidget) {\n\t\tchildWidget.refreshSelf();\n\t});\n};\n\nEditBitmapWidget.prototype.loadCanvas = function() {\n\tvar tiddler = this.wiki.getTiddler(this.editTitle),\n\t\tcurrImage = new Image();\n\t// Set up event handlers for loading the image\n\tvar self = this;\n\tcurrImage.onload = function() {\n\t\t// Copy the image to the on-screen canvas\n\t\tself.initCanvas(self.canvasDomNode,currImage.width,currImage.height,currImage);\n\t\t// And also copy the current bitmap to the off-screen canvas\n\t\tself.currCanvas = self.document.createElement(\"canvas\");\n\t\tself.initCanvas(self.currCanvas,currImage.width,currImage.height,currImage);\n\t\t// Set the width and height input boxes\n\t\tself.refreshToolbar();\n\t};\n\tcurrImage.onerror = function() {\n\t\t// Set the on-screen canvas size and clear it\n\t\tself.initCanvas(self.canvasDomNode,DEFAULT_IMAGE_WIDTH,DEFAULT_IMAGE_HEIGHT);\n\t\t// Set the off-screen canvas size and clear it\n\t\tself.currCanvas = self.document.createElement(\"canvas\");\n\t\tself.initCanvas(self.currCanvas,DEFAULT_IMAGE_WIDTH,DEFAULT_IMAGE_HEIGHT);\n\t\t// Set the width and height input boxes\n\t\tself.refreshToolbar();\n\t};\n\t// Get the current bitmap into an image object\n\tif(tiddler && tiddler.fields.type && tiddler.fields.text) {\n\t\tcurrImage.src = \"data:\" + tiddler.fields.type + \";base64,\" + tiddler.fields.text;\t\t\n\t} else {\n\t\tcurrImage.width = DEFAULT_IMAGE_WIDTH;\n\t\tcurrImage.height = DEFAULT_IMAGE_HEIGHT;\n\t\tcurrImage.onerror();\n\t}\n};\n\nEditBitmapWidget.prototype.initCanvas = function(canvas,width,height,image) {\n\tcanvas.width = width;\n\tcanvas.height = height;\n\tvar ctx = canvas.getContext(\"2d\");\n\tif(image) {\n\t\tctx.drawImage(image,0,0);\n\t} else {\n\t\tctx.fillStyle = \"#fff\";\n\t\tctx.fillRect(0,0,canvas.width,canvas.height);\n\t}\n};\n\n/*\n** Change the size of the canvas, preserving the current image\n*/\nEditBitmapWidget.prototype.changeCanvasSize = function(newWidth,newHeight) {\n\t// Create and size a new canvas\n\tvar newCanvas = this.document.createElement(\"canvas\");\n\tthis.initCanvas(newCanvas,newWidth,newHeight);\n\t// Copy the old image\n\tvar ctx = newCanvas.getContext(\"2d\");\n\tctx.drawImage(this.currCanvas,0,0);\n\t// Set the new canvas as the current one\n\tthis.currCanvas = newCanvas;\n\t// Set the size of the onscreen canvas\n\tthis.canvasDomNode.width = newWidth;\n\tthis.canvasDomNode.height = newHeight;\n\t// Paint the onscreen canvas with the offscreen canvas\n\tctx = this.canvasDomNode.getContext(\"2d\");\n\tctx.drawImage(this.currCanvas,0,0);\n};\n\n/*\n** Rotate the canvas left by 90 degrees\n*/\nEditBitmapWidget.prototype.rotateCanvasLeft = function() {\n\t// Get the current size of the image\n\tvar origWidth = this.currCanvas.width,\n\t\torigHeight = this.currCanvas.height;\n\t// Create and size a new canvas\n\tvar newCanvas = this.document.createElement(\"canvas\"),\n\t\tnewWidth = origHeight,\n\t\tnewHeight = origWidth;\n\tthis.initCanvas(newCanvas,newWidth,newHeight);\n\t// Copy the old image\n\tvar ctx = newCanvas.getContext(\"2d\");\n\tctx.save();\n\tctx.translate(newWidth / 2,newHeight / 2);\n\tctx.rotate(-Math.PI / 2);\n\tctx.drawImage(this.currCanvas,-origWidth / 2,-origHeight / 2);\n\tctx.restore();\n\t// Set the new canvas as the current one\n\tthis.currCanvas = newCanvas;\n\t// Set the size of the onscreen canvas\n\tthis.canvasDomNode.width = newWidth;\n\tthis.canvasDomNode.height = newHeight;\n\t// Paint the onscreen canvas with the offscreen canvas\n\tctx = this.canvasDomNode.getContext(\"2d\");\n\tctx.drawImage(this.currCanvas,0,0);\n};\n\nEditBitmapWidget.prototype.handleTouchStartEvent = function(event) {\n\tthis.brushDown = true;\n\tthis.strokeStart(event.touches[0].clientX,event.touches[0].clientY);\n\tevent.preventDefault();\n\tevent.stopPropagation();\n\treturn false;\n};\n\nEditBitmapWidget.prototype.handleTouchMoveEvent = function(event) {\n\tif(this.brushDown) {\n\t\tthis.strokeMove(event.touches[0].clientX,event.touches[0].clientY);\n\t}\n\tevent.preventDefault();\n\tevent.stopPropagation();\n\treturn false;\n};\n\nEditBitmapWidget.prototype.handleTouchEndEvent = function(event) {\n\tif(this.brushDown) {\n\t\tthis.brushDown = false;\n\t\tthis.strokeEnd();\n\t}\n\tevent.preventDefault();\n\tevent.stopPropagation();\n\treturn false;\n};\n\nEditBitmapWidget.prototype.handleMouseDownEvent = function(event) {\n\tthis.strokeStart(event.clientX,event.clientY);\n\tthis.brushDown = true;\n\tevent.preventDefault();\n\tevent.stopPropagation();\n\treturn false;\n};\n\nEditBitmapWidget.prototype.handleMouseMoveEvent = function(event) {\n\tif(this.brushDown) {\n\t\tthis.strokeMove(event.clientX,event.clientY);\n\t\tevent.preventDefault();\n\t\tevent.stopPropagation();\n\t\treturn false;\n\t}\n\treturn true;\n};\n\nEditBitmapWidget.prototype.handleMouseUpEvent = function(event) {\n\tif(this.brushDown) {\n\t\tthis.brushDown = false;\n\t\tthis.strokeEnd();\n\t\tevent.preventDefault();\n\t\tevent.stopPropagation();\n\t\treturn false;\n\t}\n\treturn true;\n};\n\nEditBitmapWidget.prototype.adjustCoordinates = function(x,y) {\n\tvar canvasRect = this.canvasDomNode.getBoundingClientRect(),\n\t\tscale = this.canvasDomNode.width/canvasRect.width;\n\treturn {x: (x - canvasRect.left) * scale, y: (y - canvasRect.top) * scale};\n};\n\nEditBitmapWidget.prototype.strokeStart = function(x,y) {\n\t// Start off a new stroke\n\tthis.stroke = [this.adjustCoordinates(x,y)];\n};\n\nEditBitmapWidget.prototype.strokeMove = function(x,y) {\n\tvar ctx = this.canvasDomNode.getContext(\"2d\"),\n\t\tt;\n\t// Add the new position to the end of the stroke\n\tthis.stroke.push(this.adjustCoordinates(x,y));\n\t// Redraw the previous image\n\tctx.drawImage(this.currCanvas,0,0);\n\t// Render the stroke\n\tctx.globalAlpha = parseFloat(this.wiki.getTiddlerText(LINE_OPACITY_TITLE,\"1.0\"));\n\tctx.strokeStyle = this.wiki.getTiddlerText(LINE_COLOUR_TITLE,\"#ff0\");\n\tctx.lineWidth = parseFloat(this.wiki.getTiddlerText(LINE_WIDTH_TITLE,\"3\"));\n\tctx.lineCap = \"round\";\n\tctx.lineJoin = \"round\";\n\tctx.beginPath();\n\tctx.moveTo(this.stroke[0].x,this.stroke[0].y);\n\tfor(t=1; t<this.stroke.length-1; t++) {\n\t\tvar s1 = this.stroke[t],\n\t\t\ts2 = this.stroke[t-1],\n\t\t\ttx = (s1.x + s2.x)/2,\n\t\t\tty = (s1.y + s2.y)/2;\n\t\tctx.quadraticCurveTo(s2.x,s2.y,tx,ty);\n\t}\n\tctx.stroke();\n};\n\nEditBitmapWidget.prototype.strokeEnd = function() {\n\t// Copy the bitmap to the off-screen canvas\n\tvar ctx = this.currCanvas.getContext(\"2d\");\n\tctx.drawImage(this.canvasDomNode,0,0);\n\t// Save the image into the tiddler\n\tthis.saveChanges();\n};\n\nEditBitmapWidget.prototype.saveChanges = function() {\n\tvar tiddler = this.wiki.getTiddler(this.editTitle) || new $tw.Tiddler({title: this.editTitle,type: DEFAULT_IMAGE_TYPE});\n\t// data URIs look like \"data:<type>;base64,<text>\"\n\tvar dataURL = this.canvasDomNode.toDataURL(tiddler.fields.type),\n\t\tposColon = dataURL.indexOf(\":\"),\n\t\tposSemiColon = dataURL.indexOf(\";\"),\n\t\tposComma = dataURL.indexOf(\",\"),\n\t\ttype = dataURL.substring(posColon+1,posSemiColon),\n\t\ttext = dataURL.substring(posComma+1);\n\tvar update = {type: type, text: text};\n\tthis.wiki.addTiddler(new $tw.Tiddler(this.wiki.getModificationFields(),tiddler,update,this.wiki.getCreationFields()));\n};\n\nexports[\"edit-bitmap\"] = EditBitmapWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/edit-shortcut.js": {
"title": "$:/core/modules/widgets/edit-shortcut.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/edit-shortcut.js\ntype: application/javascript\nmodule-type: widget\n\nWidget to display an editable keyboard shortcut\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EditShortcutWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEditShortcutWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEditShortcutWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.inputNode = this.document.createElement(\"input\");\n\t// Assign classes\n\tif(this.shortcutClass) {\n\t\tthis.inputNode.className = this.shortcutClass;\t\t\n\t}\n\t// Assign other attributes\n\tif(this.shortcutStyle) {\n\t\tthis.inputNode.setAttribute(\"style\",this.shortcutStyle);\n\t}\n\tif(this.shortcutTooltip) {\n\t\tthis.inputNode.setAttribute(\"title\",this.shortcutTooltip);\n\t}\n\tif(this.shortcutPlaceholder) {\n\t\tthis.inputNode.setAttribute(\"placeholder\",this.shortcutPlaceholder);\n\t}\n\tif(this.shortcutAriaLabel) {\n\t\tthis.inputNode.setAttribute(\"aria-label\",this.shortcutAriaLabel);\n\t}\n\t// Assign the current shortcut\n\tthis.updateInputNode();\n\t// Add event handlers\n\t$tw.utils.addEventListeners(this.inputNode,[\n\t\t{name: \"keydown\", handlerObject: this, handlerMethod: \"handleKeydownEvent\"}\n\t]);\n\t// Link into the DOM\n\tparent.insertBefore(this.inputNode,nextSibling);\n\tthis.domNodes.push(this.inputNode);\n\t// Focus the input Node if focus === \"yes\" or focus === \"true\"\n\tif(this.shortcutFocus === \"yes\" || this.shortcutFocus === \"true\") {\n\t\tthis.focus();\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nEditShortcutWidget.prototype.execute = function() {\n\tthis.shortcutTiddler = this.getAttribute(\"tiddler\");\n\tthis.shortcutField = this.getAttribute(\"field\");\n\tthis.shortcutIndex = this.getAttribute(\"index\");\n\tthis.shortcutPlaceholder = this.getAttribute(\"placeholder\");\n\tthis.shortcutDefault = this.getAttribute(\"default\",\"\");\n\tthis.shortcutClass = this.getAttribute(\"class\");\n\tthis.shortcutStyle = this.getAttribute(\"style\");\n\tthis.shortcutTooltip = this.getAttribute(\"tooltip\");\n\tthis.shortcutAriaLabel = this.getAttribute(\"aria-label\");\n\tthis.shortcutFocus = this.getAttribute(\"focus\");\n};\n\n/*\nUpdate the value of the input node\n*/\nEditShortcutWidget.prototype.updateInputNode = function() {\n\tif(this.shortcutField) {\n\t\tvar tiddler = this.wiki.getTiddler(this.shortcutTiddler);\n\t\tif(tiddler && $tw.utils.hop(tiddler.fields,this.shortcutField)) {\n\t\t\tthis.inputNode.value = tiddler.getFieldString(this.shortcutField);\n\t\t} else {\n\t\t\tthis.inputNode.value = this.shortcutDefault;\n\t\t}\n\t} else if(this.shortcutIndex) {\n\t\tthis.inputNode.value = this.wiki.extractTiddlerDataItem(this.shortcutTiddler,this.shortcutIndex,this.shortcutDefault);\n\t} else {\n\t\tthis.inputNode.value = this.wiki.getTiddlerText(this.shortcutTiddler,this.shortcutDefault);\n\t}\n};\n\n/*\nHandle a dom \"keydown\" event\n*/\nEditShortcutWidget.prototype.handleKeydownEvent = function(event) {\n\t// Ignore shift, ctrl, meta, alt\n\tif(event.keyCode && $tw.keyboardManager.getModifierKeys().indexOf(event.keyCode) === -1) {\n\t\t// Get the shortcut text representation\n\t\tvar value = $tw.keyboardManager.getPrintableShortcuts([{\n\t\t\tctrlKey: event.ctrlKey,\n\t\t\tshiftKey: event.shiftKey,\n\t\t\taltKey: event.altKey,\n\t\t\tmetaKey: event.metaKey,\n\t\t\tkeyCode: event.keyCode\n\t\t}]);\n\t\tif(value.length > 0) {\n\t\t\tthis.wiki.setText(this.shortcutTiddler,this.shortcutField,this.shortcutIndex,value[0]);\n\t\t}\n\t\t// Ignore the keydown if it was already handled\n\t\tevent.preventDefault();\n\t\tevent.stopPropagation();\n\t\treturn true;\t\t\n\t} else {\n\t\treturn false;\n\t}\n};\n\n/*\nfocus the input node\n*/\nEditShortcutWidget.prototype.focus = function() {\n\tif(this.inputNode.focus && this.inputNode.select) {\n\t\tthis.inputNode.focus();\n\t\tthis.inputNode.select();\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget needed re-rendering\n*/\nEditShortcutWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes.placeholder || changedAttributes[\"default\"] || changedAttributes[\"class\"] || changedAttributes.style || changedAttributes.tooltip || changedAttributes[\"aria-label\"] || changedAttributes.focus) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else if(changedTiddlers[this.shortcutTiddler]) {\n\t\tthis.updateInputNode();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\n\t}\n};\n\nexports[\"edit-shortcut\"] = EditShortcutWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/edit-text.js": {
"title": "$:/core/modules/widgets/edit-text.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/edit-text.js\ntype: application/javascript\nmodule-type: widget\n\nEdit-text widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar editTextWidgetFactory = require(\"$:/core/modules/editor/factory.js\").editTextWidgetFactory,\n\tFramedEngine = require(\"$:/core/modules/editor/engines/framed.js\").FramedEngine,\n\tSimpleEngine = require(\"$:/core/modules/editor/engines/simple.js\").SimpleEngine;\n\nexports[\"edit-text\"] = editTextWidgetFactory(FramedEngine,SimpleEngine);\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/edit.js": {
"title": "$:/core/modules/widgets/edit.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/edit.js\ntype: application/javascript\nmodule-type: widget\n\nEdit widget is a meta-widget chooses the appropriate actual editting widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EditWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEditWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEditWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n// Mappings from content type to editor type are stored in tiddlers with this prefix\nvar EDITOR_MAPPING_PREFIX = \"$:/config/EditorTypeMappings/\";\n\n/*\nCompute the internal state of the widget\n*/\nEditWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.editTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.editField = this.getAttribute(\"field\",\"text\");\n\tthis.editIndex = this.getAttribute(\"index\");\n\tthis.editClass = this.getAttribute(\"class\");\n\tthis.editPlaceholder = this.getAttribute(\"placeholder\");\n\tthis.editTabIndex = this.getAttribute(\"tabindex\");\n\tthis.editFocus = this.getAttribute(\"focus\",\"\");\n\t// Choose the appropriate edit widget\n\tthis.editorType = this.getEditorType();\n\t// Make the child widgets\n\tthis.makeChildWidgets([{\n\t\ttype: \"edit-\" + this.editorType,\n\t\tattributes: {\n\t\t\ttiddler: {type: \"string\", value: this.editTitle},\n\t\t\tfield: {type: \"string\", value: this.editField},\n\t\t\tindex: {type: \"string\", value: this.editIndex},\n\t\t\t\"class\": {type: \"string\", value: this.editClass},\n\t\t\t\"placeholder\": {type: \"string\", value: this.editPlaceholder},\n\t\t\t\"tabindex\": {type: \"string\", value: this.editTabIndex},\n\t\t\t\"focus\": {type: \"string\", value: this.editFocus}\n\t\t},\n\t\tchildren: this.parseTreeNode.children\n\t}]);\n};\n\nEditWidget.prototype.getEditorType = function() {\n\t// Get the content type of the thing we're editing\n\tvar type;\n\tif(this.editField === \"text\") {\n\t\tvar tiddler = this.wiki.getTiddler(this.editTitle);\n\t\tif(tiddler) {\n\t\t\ttype = tiddler.fields.type;\n\t\t}\n\t}\n\ttype = type || \"text/vnd.tiddlywiki\";\n\tvar editorType = this.wiki.getTiddlerText(EDITOR_MAPPING_PREFIX + type);\n\tif(!editorType) {\n\t\tvar typeInfo = $tw.config.contentTypeInfo[type];\n\t\tif(typeInfo && typeInfo.encoding === \"base64\") {\n\t\t\teditorType = \"binary\";\n\t\t} else {\n\t\t\teditorType = \"text\";\n\t\t}\n\t}\n\treturn editorType;\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nEditWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\t// Refresh if an attribute has changed, or the type associated with the target tiddler has changed\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes.tabindex || (changedTiddlers[this.editTitle] && this.getEditorType() !== this.editorType)) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.edit = EditWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/element.js": {
"title": "$:/core/modules/widgets/element.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/element.js\ntype: application/javascript\nmodule-type: widget\n\nElement widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ElementWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nElementWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nElementWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Neuter blacklisted elements\n\tvar tag = this.parseTreeNode.tag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"safe-\" + tag;\n\t}\n\t// Adjust headings by the current base level\n\tvar headingLevel = [\"h1\",\"h2\",\"h3\",\"h4\",\"h5\",\"h6\"].indexOf(tag);\n\tif(headingLevel !== -1) {\n\t\tvar baseLevel = parseInt(this.getVariable(\"tv-adjust-heading-level\",\"0\"),10) || 0;\n\t\theadingLevel = Math.min(Math.max(headingLevel + 1 + baseLevel,1),6);\n\t\ttag = \"h\" + headingLevel;\n\t}\n\t// Create the DOM node\n\tvar domNode = this.document.createElementNS(this.namespace,tag);\n\tthis.assignAttributes(domNode,{excludeEventAttributes: true});\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nElementWidget.prototype.execute = function() {\n\t// Select the namespace for the tag\n\tvar tagNamespaces = {\n\t\t\tsvg: \"http://www.w3.org/2000/svg\",\n\t\t\tmath: \"http://www.w3.org/1998/Math/MathML\",\n\t\t\tbody: \"http://www.w3.org/1999/xhtml\"\n\t\t};\n\tthis.namespace = tagNamespaces[this.parseTreeNode.tag];\n\tif(this.namespace) {\n\t\tthis.setVariable(\"namespace\",this.namespace);\n\t} else {\n\t\tthis.namespace = this.getVariable(\"namespace\",{defaultValue: \"http://www.w3.org/1999/xhtml\"});\n\t}\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nElementWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes(),\n\t\thasChangedAttributes = $tw.utils.count(changedAttributes) > 0;\n\tif(hasChangedAttributes) {\n\t\t// Update our attributes\n\t\tthis.assignAttributes(this.domNodes[0],{excludeEventAttributes: true});\n\t}\n\treturn this.refreshChildren(changedTiddlers) || hasChangedAttributes;\n};\n\nexports.element = ElementWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/encrypt.js": {
"title": "$:/core/modules/widgets/encrypt.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/encrypt.js\ntype: application/javascript\nmodule-type: widget\n\nEncrypt widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EncryptWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEncryptWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEncryptWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar textNode = this.document.createTextNode(this.encryptedText);\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nEncryptWidget.prototype.execute = function() {\n\t// Get parameters from our attributes\n\tthis.filter = this.getAttribute(\"filter\",\"[!is[system]]\");\n\t// Encrypt the filtered tiddlers\n\tvar tiddlers = this.wiki.filterTiddlers(this.filter),\n\t\tjson = {},\n\t\tself = this;\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = self.wiki.getTiddler(title),\n\t\t\tjsonTiddler = {};\n\t\tfor(var f in tiddler.fields) {\n\t\t\tjsonTiddler[f] = tiddler.getFieldString(f);\n\t\t}\n\t\tjson[title] = jsonTiddler;\n\t});\n\tthis.encryptedText = $tw.utils.htmlEncode($tw.crypto.encrypt(JSON.stringify(json)));\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nEncryptWidget.prototype.refresh = function(changedTiddlers) {\n\t// We don't need to worry about refreshing because the encrypt widget isn't for interactive use\n\treturn false;\n};\n\nexports.encrypt = EncryptWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/entity.js": {
"title": "$:/core/modules/widgets/entity.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/entity.js\ntype: application/javascript\nmodule-type: widget\n\nHTML entity widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EntityWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEntityWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEntityWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.execute();\n\tvar entityString = this.getAttribute(\"entity\",this.parseTreeNode.entity || \"\"),\n\t\ttextNode = this.document.createTextNode($tw.utils.entityDecode(entityString));\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nEntityWidget.prototype.execute = function() {\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nEntityWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.entity) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\n\t}\n};\n\nexports.entity = EntityWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/fieldmangler.js": {
"title": "$:/core/modules/widgets/fieldmangler.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/fieldmangler.js\ntype: application/javascript\nmodule-type: widget\n\nField mangler widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar FieldManglerWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n\tthis.addEventListeners([\n\t\t{type: \"tm-remove-field\", handler: \"handleRemoveFieldEvent\"},\n\t\t{type: \"tm-add-field\", handler: \"handleAddFieldEvent\"},\n\t\t{type: \"tm-remove-tag\", handler: \"handleRemoveTagEvent\"},\n\t\t{type: \"tm-add-tag\", handler: \"handleAddTagEvent\"}\n\t]);\n};\n\n/*\nInherit from the base widget class\n*/\nFieldManglerWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nFieldManglerWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nFieldManglerWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.mangleTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nFieldManglerWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\nFieldManglerWidget.prototype.handleRemoveFieldEvent = function(event) {\n\tvar tiddler = this.wiki.getTiddler(this.mangleTitle),\n\t\tdeletion = {};\n\tdeletion[event.param] = undefined;\n\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,deletion));\n\treturn true;\n};\n\nFieldManglerWidget.prototype.handleAddFieldEvent = function(event) {\n\tvar tiddler = this.wiki.getTiddler(this.mangleTitle),\n\t\taddition = this.wiki.getModificationFields(),\n\t\thadInvalidFieldName = false,\n\t\taddField = function(name,value) {\n\t\t\tvar trimmedName = name.toLowerCase().trim();\n\t\t\tif(!$tw.utils.isValidFieldName(trimmedName)) {\n\t\t\t\tif(!hadInvalidFieldName) {\n\t\t\t\t\talert($tw.language.getString(\n\t\t\t\t\t\t\"InvalidFieldName\",\n\t\t\t\t\t\t{variables:\n\t\t\t\t\t\t\t{fieldName: trimmedName}\n\t\t\t\t\t\t}\n\t\t\t\t\t));\n\t\t\t\t\thadInvalidFieldName = true;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tif(!value && tiddler) {\n\t\t\t\t\tvalue = tiddler.fields[trimmedName];\n\t\t\t\t}\n\t\t\t\taddition[trimmedName] = value || \"\";\n\t\t\t}\n\t\t\treturn;\n\t\t};\n\taddition.title = this.mangleTitle;\n\tif(typeof event.param === \"string\") {\n\t\taddField(event.param,\"\");\n\t}\n\tif(typeof event.paramObject === \"object\") {\n\t\tfor(var name in event.paramObject) {\n\t\t\taddField(name,event.paramObject[name]);\n\t\t}\n\t}\n\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,addition));\n\treturn true;\n};\n\nFieldManglerWidget.prototype.handleRemoveTagEvent = function(event) {\n\tvar tiddler = this.wiki.getTiddler(this.mangleTitle),\n\t\tmodification = this.wiki.getModificationFields();\n\tif(tiddler && tiddler.fields.tags) {\n\t\tvar p = tiddler.fields.tags.indexOf(event.param);\n\t\tif(p !== -1) {\n\t\t\tmodification.tags = (tiddler.fields.tags || []).slice(0);\n\t\t\tmodification.tags.splice(p,1);\n\t\t\tif(modification.tags.length === 0) {\n\t\t\t\tmodification.tags = undefined;\n\t\t\t}\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,modification));\n\t\t}\n\t}\n\treturn true;\n};\n\nFieldManglerWidget.prototype.handleAddTagEvent = function(event) {\n\tvar tiddler = this.wiki.getTiddler(this.mangleTitle),\n\t\tmodification = this.wiki.getModificationFields();\n\tif(tiddler && typeof event.param === \"string\") {\n\t\tvar tag = event.param.trim();\n\t\tif(tag !== \"\") {\n\t\t\tmodification.tags = (tiddler.fields.tags || []).slice(0);\n\t\t\t$tw.utils.pushTop(modification.tags,tag);\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,modification));\t\t\t\n\t\t}\n\t} else if(typeof event.param === \"string\" && event.param.trim() !== \"\" && this.mangleTitle.trim() !== \"\") {\n\t\tvar tag = [];\n\t\ttag.push(event.param.trim());\n\t\tthis.wiki.addTiddler(new $tw.Tiddler({title: this.mangleTitle, tags: tag},modification));\n\t}\n\treturn true;\n};\n\nexports.fieldmangler = FieldManglerWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/fields.js": {
"title": "$:/core/modules/widgets/fields.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/fields.js\ntype: application/javascript\nmodule-type: widget\n\nFields widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar FieldsWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nFieldsWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nFieldsWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar textNode = this.document.createTextNode(this.text);\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nFieldsWidget.prototype.execute = function() {\n\t// Get parameters from our attributes\n\tthis.tiddlerTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.template = this.getAttribute(\"template\");\n\tthis.sort = this.getAttribute(\"sort\",\"yes\") === \"yes\";\n\tthis.sortReverse = this.getAttribute(\"sortReverse\",\"no\") === \"yes\";\n\tthis.exclude = this.getAttribute(\"exclude\");\n\tthis.include = this.getAttribute(\"include\",null);\n\tthis.stripTitlePrefix = this.getAttribute(\"stripTitlePrefix\",\"no\") === \"yes\";\n\t// Get the value to display\n\tvar tiddler = this.wiki.getTiddler(this.tiddlerTitle);\n\n\t// Get the inclusion and exclusion list\n\tvar excludeArr = (this.exclude) ? this.exclude.split(\" \") : [\"text\"];\n\t// Include takes precedence\n\tvar includeArr = (this.include) ? this.include.split(\" \") : null;\n\n\t// Compose the template\n\tvar text = [];\n\tif(this.template && tiddler) {\n\t\tvar fields = [];\n\t\tif (includeArr) { // Include takes precedence\n\t\t\tfor(var i=0; i<includeArr.length; i++) {\n\t\t\t\tif(tiddler.fields[includeArr[i]]) {\n\t\t\t\t\tfields.push(includeArr[i]);\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tfor(var fieldName in tiddler.fields) {\n\t\t\t\tif(excludeArr.indexOf(fieldName) === -1) {\n\t\t\t\t\tfields.push(fieldName);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\tif (this.sort) fields.sort();\n\t\tif (this.sortReverse) fields.reverse();\n\t\tfor(var f=0, fmax=fields.length; f<fmax; f++) {\n\t\t\tfieldName = fields[f];\n\t\t\tvar row = this.template,\n\t\t\t\tvalue = tiddler.getFieldString(fieldName);\n\t\t\tif(this.stripTitlePrefix && fieldName === \"title\") {\n\t\t\t\tvar reStrip = /^\\{[^\\}]+\\}(.+)/mg,\n\t\t\t\t\treMatch = reStrip.exec(value);\n\t\t\t\tif(reMatch) {\n\t\t\t\t\tvalue = reMatch[1];\n\t\t\t\t}\n\t\t\t}\n\t\t\trow = $tw.utils.replaceString(row,\"$name$\",fieldName);\n\t\t\trow = $tw.utils.replaceString(row,\"$value$\",value);\n\t\t\trow = $tw.utils.replaceString(row,\"$encoded_value$\",$tw.utils.htmlEncode(value));\n\t\t\ttext.push(row);\n\t\t}\n\t}\n\tthis.text = text.join(\"\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nFieldsWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif( changedAttributes.tiddler || changedAttributes.template || changedAttributes.exclude ||\n\t\tchangedAttributes.include || changedAttributes.sort || changedAttributes.sortReverse ||\n\t\tchangedTiddlers[this.tiddlerTitle] || changedAttributes.stripTitlePrefix) {\n\t\t\tthis.refreshSelf();\n\t\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n};\n\nexports.fields = FieldsWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/image.js": {
"title": "$:/core/modules/widgets/image.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/image.js\ntype: application/javascript\nmodule-type: widget\n\nThe image widget displays an image referenced with an external URI or with a local tiddler title.\n\n```\n<$image src=\"TiddlerTitle\" width=\"320\" height=\"400\" class=\"classnames\">\n```\n\nThe image source can be the title of an existing tiddler or the URL of an external image.\n\nExternal images always generate an HTML `<img>` tag.\n\nTiddlers that have a _canonical_uri field generate an HTML `<img>` tag with the src attribute containing the URI.\n\nTiddlers that contain image data generate an HTML `<img>` tag with the src attribute containing a base64 representation of the image.\n\nTiddlers that contain wikitext could be rendered to a DIV of the usual size of a tiddler, and then transformed to the size requested.\n\nThe width and height attributes are interpreted as a number of pixels, and do not need to include the \"px\" suffix.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ImageWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nImageWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nImageWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\t// Determine what type of image it is\n\tvar tag = \"img\", src = \"\",\n\t\ttiddler = this.wiki.getTiddler(this.imageSource);\n\tif(!tiddler) {\n\t\t// The source isn't the title of a tiddler, so we'll assume it's a URL\n\t\tsrc = this.getVariable(\"tv-get-export-image-link\",{params: [{name: \"src\",value: this.imageSource}],defaultValue: this.imageSource});\n\t} else {\n\t\t// Check if it is an image tiddler\n\t\tif(this.wiki.isImageTiddler(this.imageSource)) {\n\t\t\tvar type = tiddler.fields.type,\n\t\t\t\ttext = tiddler.fields.text,\n\t\t\t\t_canonical_uri = tiddler.fields._canonical_uri;\n\t\t\t// If the tiddler has body text then it doesn't need to be lazily loaded\n\t\t\tif(text) {\n\t\t\t\t// Render the appropriate element for the image type\n\t\t\t\tswitch(type) {\n\t\t\t\t\tcase \"application/pdf\":\n\t\t\t\t\t\ttag = \"embed\";\n\t\t\t\t\t\tsrc = \"data:application/pdf;base64,\" + text;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase \"image/svg+xml\":\n\t\t\t\t\t\tsrc = \"data:image/svg+xml,\" + encodeURIComponent(text);\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tsrc = \"data:\" + type + \";base64,\" + text;\n\t\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t} else if(_canonical_uri) {\n\t\t\t\tswitch(type) {\n\t\t\t\t\tcase \"application/pdf\":\n\t\t\t\t\t\ttag = \"embed\";\n\t\t\t\t\t\tsrc = _canonical_uri;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase \"image/svg+xml\":\n\t\t\t\t\t\tsrc = _canonical_uri;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tsrc = _canonical_uri;\n\t\t\t\t\t\tbreak;\n\t\t\t\t}\t\n\t\t\t} else {\n\t\t\t\t// Just trigger loading of the tiddler\n\t\t\t\tthis.wiki.getTiddlerText(this.imageSource);\n\t\t\t}\n\t\t}\n\t}\n\t// Create the element and assign the attributes\n\tvar domNode = this.document.createElement(tag);\n\tdomNode.setAttribute(\"src\",src);\n\tif(this.imageClass) {\n\t\tdomNode.setAttribute(\"class\",this.imageClass);\t\t\n\t}\n\tif(this.imageWidth) {\n\t\tdomNode.setAttribute(\"width\",this.imageWidth);\n\t}\n\tif(this.imageHeight) {\n\t\tdomNode.setAttribute(\"height\",this.imageHeight);\n\t}\n\tif(this.imageTooltip) {\n\t\tdomNode.setAttribute(\"title\",this.imageTooltip);\t\t\n\t}\n\tif(this.imageAlt) {\n\t\tdomNode.setAttribute(\"alt\",this.imageAlt);\t\t\n\t}\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nImageWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.imageSource = this.getAttribute(\"source\");\n\tthis.imageWidth = this.getAttribute(\"width\");\n\tthis.imageHeight = this.getAttribute(\"height\");\n\tthis.imageClass = this.getAttribute(\"class\");\n\tthis.imageTooltip = this.getAttribute(\"tooltip\");\n\tthis.imageAlt = this.getAttribute(\"alt\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nImageWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.source || changedAttributes.width || changedAttributes.height || changedAttributes[\"class\"] || changedAttributes.tooltip || changedTiddlers[this.imageSource]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\t\n\t}\n};\n\nexports.image = ImageWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/importvariables.js": {
"title": "$:/core/modules/widgets/importvariables.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/importvariables.js\ntype: application/javascript\nmodule-type: widget\n\nImport variable definitions from other tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ImportVariablesWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nImportVariablesWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nImportVariablesWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nImportVariablesWidget.prototype.execute = function(tiddlerList) {\n\tvar widgetPointer = this;\n\t// Get our parameters\n\tthis.filter = this.getAttribute(\"filter\");\n\t// Compute the filter\n\tthis.tiddlerList = tiddlerList || this.wiki.filterTiddlers(this.filter,this);\n\t// Accumulate the <$set> widgets from each tiddler\n\t$tw.utils.each(this.tiddlerList,function(title) {\n\t\tvar parser = widgetPointer.wiki.parseTiddler(title);\n\t\tif(parser) {\n\t\t\tvar parseTreeNode = parser.tree[0];\n\t\t\twhile(parseTreeNode && parseTreeNode.type === \"set\") {\n\t\t\t\tvar node = {\n\t\t\t\t\ttype: \"set\",\n\t\t\t\t\tattributes: parseTreeNode.attributes,\n\t\t\t\t\tparams: parseTreeNode.params,\n\t\t\t\t\tisMacroDefinition: parseTreeNode.isMacroDefinition\n\t\t\t\t};\n\t\t\t\tif (parseTreeNode.isMacroDefinition) {\n\t\t\t\t\t// Macro definitions can be folded into\n\t\t\t\t\t// current widget instead of adding\n\t\t\t\t\t// another link to the chain.\n\t\t\t\t\tvar widget = widgetPointer.makeChildWidget(node);\n\t\t\t\t\twidget.computeAttributes();\n\t\t\t\t\twidget.execute();\n\t\t\t\t\t// We SHALLOW copy over all variables\n\t\t\t\t\t// in widget. We can't use\n\t\t\t\t\t// $tw.utils.assign, because that copies\n\t\t\t\t\t// up the prototype chain, which we\n\t\t\t\t\t// don't want.\n\t\t\t\t\t$tw.utils.each(Object.keys(widget.variables), function(key) {\n\t\t\t\t\t\twidgetPointer.variables[key] = widget.variables[key];\n\t\t\t\t\t});\n\t\t\t\t} else {\n\t\t\t\t\twidgetPointer.makeChildWidgets([node]);\n\t\t\t\t\twidgetPointer = widgetPointer.children[0];\n\t\t\t\t}\n\t\t\t\tparseTreeNode = parseTreeNode.children && parseTreeNode.children[0];\n\t\t\t}\n\t\t} \n\t});\n\n\tif (widgetPointer != this) {\n\t\twidgetPointer.parseTreeNode.children = this.parseTreeNode.children;\n\t} else {\n\t\twidgetPointer.makeChildWidgets();\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nImportVariablesWidget.prototype.refresh = function(changedTiddlers) {\n\t// Recompute our attributes and the filter list\n\tvar changedAttributes = this.computeAttributes(),\n\t\ttiddlerList = this.wiki.filterTiddlers(this.getAttribute(\"filter\"),this);\n\t// Refresh if the filter has changed, or the list of tiddlers has changed, or any of the tiddlers in the list has changed\n\tfunction haveListedTiddlersChanged() {\n\t\tvar changed = false;\n\t\ttiddlerList.forEach(function(title) {\n\t\t\tif(changedTiddlers[title]) {\n\t\t\t\tchanged = true;\n\t\t\t}\n\t\t});\n\t\treturn changed;\n\t}\n\tif(changedAttributes.filter || !$tw.utils.isArrayEqual(this.tiddlerList,tiddlerList) || haveListedTiddlersChanged()) {\n\t\t// Compute the filter\n\t\tthis.removeChildDomNodes();\n\t\tthis.execute(tiddlerList);\n\t\tthis.renderChildren(this.parentDomNode,this.findNextSiblingDomNode());\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\nexports.importvariables = ImportVariablesWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/keyboard.js": {
"title": "$:/core/modules/widgets/keyboard.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/keyboard.js\ntype: application/javascript\nmodule-type: widget\n\nKeyboard shortcut widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar KeyboardWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nKeyboardWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nKeyboardWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar tag = this.parseTreeNode.isBlock ? \"div\" : \"span\";\n\tif(this.tag && $tw.config.htmlUnsafeElements.indexOf(this.tag) === -1) {\n\t\ttag = this.tag;\n\t}\n\t// Create element\n\tvar domNode = this.document.createElement(tag);\n\t// Assign classes\n\tvar classes = (this[\"class\"] || \"\").split(\" \");\n\tclasses.push(\"tc-keyboard\");\n\tdomNode.className = classes.join(\" \");\n\t// Add a keyboard event handler\n\tdomNode.addEventListener(\"keydown\",function (event) {\n\t\tif($tw.keyboardManager.checkKeyDescriptors(event,self.keyInfoArray)) {\n\t\t\tself.invokeActions(self,event);\n\t\t\tif(self.actions) {\n\t\t\t\tself.invokeActionString(self.actions,self,event);\n\t\t\t}\n\t\t\tself.dispatchMessage(event);\n\t\t\tevent.preventDefault();\n\t\t\tevent.stopPropagation();\n\t\t\treturn true;\n\t\t}\n\t\treturn false;\n\t},false);\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\nKeyboardWidget.prototype.dispatchMessage = function(event) {\n\tthis.dispatchEvent({type: this.message, param: this.param, tiddlerTitle: this.getVariable(\"currentTiddler\")});\n};\n\n/*\nCompute the internal state of the widget\n*/\nKeyboardWidget.prototype.execute = function() {\n\tvar self = this;\n\t// Get attributes\n\tthis.actions = this.getAttribute(\"actions\",\"\");\n\tthis.message = this.getAttribute(\"message\",\"\");\n\tthis.param = this.getAttribute(\"param\",\"\");\n\tthis.key = this.getAttribute(\"key\",\"\");\n\tthis.tag = this.getAttribute(\"tag\",\"\");\n\tthis.keyInfoArray = $tw.keyboardManager.parseKeyDescriptors(this.key);\n\tthis[\"class\"] = this.getAttribute(\"class\",\"\");\n\tif(this.key.substr(0,2) === \"((\" && this.key.substr(-2,2) === \"))\") {\n\t\tthis.shortcutTiddlers = [];\n\t\tvar name = this.key.substring(2,this.key.length -2);\n\t\t$tw.utils.each($tw.keyboardManager.lookupNames,function(platformDescriptor) {\n\t\t\tself.shortcutTiddlers.push(\"$:/config/\" + platformDescriptor + \"/\" + name);\n\t\t});\n\t}\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nKeyboardWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.message || changedAttributes.param || changedAttributes.key || changedAttributes[\"class\"] || changedAttributes.tag) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\t// Update the keyInfoArray if one of its shortcut-config-tiddlers has changed\n\tif(this.shortcutTiddlers && $tw.utils.hopArray(changedTiddlers,this.shortcutTiddlers)) {\n\t\tthis.keyInfoArray = $tw.keyboardManager.parseKeyDescriptors(this.key);\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.keyboard = KeyboardWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/link.js": {
"title": "$:/core/modules/widgets/link.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/link.js\ntype: application/javascript\nmodule-type: widget\n\nLink widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar LinkWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nLinkWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nLinkWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Get the value of the tv-wikilinks configuration macro\n\tvar wikiLinksMacro = this.getVariable(\"tv-wikilinks\"),\n\t\tuseWikiLinks = wikiLinksMacro ? (wikiLinksMacro.trim() !== \"no\") : true,\n\t\tmissingLinksEnabled = !(this.hideMissingLinks && this.isMissing && !this.isShadow);\n\t// Render the link if required\n\tif(useWikiLinks && missingLinksEnabled) {\n\t\tthis.renderLink(parent,nextSibling);\n\t} else {\n\t\t// Just insert the link text\n\t\tvar domNode = this.document.createElement(\"span\");\n\t\tparent.insertBefore(domNode,nextSibling);\n\t\tthis.renderChildren(domNode,null);\n\t\tthis.domNodes.push(domNode);\n\t}\n};\n\n/*\nRender this widget into the DOM\n*/\nLinkWidget.prototype.renderLink = function(parent,nextSibling) {\n\tvar self = this;\n\t// Sanitise the specified tag\n\tvar tag = this.linkTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"a\";\n\t}\n\t// Create our element\n\tvar domNode = this.document.createElement(tag);\n\t// Assign classes\n\tvar classes = [];\n\tif(this.overrideClasses === undefined) {\n\t\tclasses.push(\"tc-tiddlylink\");\n\t\tif(this.isShadow) {\n\t\t\tclasses.push(\"tc-tiddlylink-shadow\");\n\t\t}\n\t\tif(this.isMissing && !this.isShadow) {\n\t\t\tclasses.push(\"tc-tiddlylink-missing\");\n\t\t} else {\n\t\t\tif(!this.isMissing) {\n\t\t\t\tclasses.push(\"tc-tiddlylink-resolves\");\n\t\t\t}\n\t\t}\n\t\tif(this.linkClasses) {\n\t\t\tclasses.push(this.linkClasses);\t\t\t\n\t\t}\n\t} else if(this.overrideClasses !== \"\") {\n\t\tclasses.push(this.overrideClasses)\n\t}\n\tif(classes.length > 0) {\n\t\tdomNode.setAttribute(\"class\",classes.join(\" \"));\n\t}\n\t// Set an href\n\tvar wikilinkTransformFilter = this.getVariable(\"tv-filter-export-link\"),\n\t\twikiLinkText;\n\tif(wikilinkTransformFilter) {\n\t\t// Use the filter to construct the href\n\t\twikiLinkText = this.wiki.filterTiddlers(wikilinkTransformFilter,this,function(iterator) {\n\t\t\titerator(self.wiki.getTiddler(self.to),self.to)\n\t\t})[0];\n\t} else {\n\t\t// Expand the tv-wikilink-template variable to construct the href\n\t\tvar wikiLinkTemplateMacro = this.getVariable(\"tv-wikilink-template\"),\n\t\t\twikiLinkTemplate = wikiLinkTemplateMacro ? wikiLinkTemplateMacro.trim() : \"#$uri_encoded$\";\n\t\twikiLinkText = $tw.utils.replaceString(wikiLinkTemplate,\"$uri_encoded$\",encodeURIComponent(this.to));\n\t\twikiLinkText = $tw.utils.replaceString(wikiLinkText,\"$uri_doubleencoded$\",encodeURIComponent(encodeURIComponent(this.to)));\n\t}\n\t// Override with the value of tv-get-export-link if defined\n\twikiLinkText = this.getVariable(\"tv-get-export-link\",{params: [{name: \"to\",value: this.to}],defaultValue: wikiLinkText});\n\tif(tag === \"a\") {\n\t\tdomNode.setAttribute(\"href\",wikiLinkText);\n\t}\n\t// Set the tabindex\n\tif(this.tabIndex) {\n\t\tdomNode.setAttribute(\"tabindex\",this.tabIndex);\n\t}\n\t// Set the tooltip\n\t// HACK: Performance issues with re-parsing the tooltip prevent us defaulting the tooltip to \"<$transclude field='tooltip'><$transclude field='title'/></$transclude>\"\n\tvar tooltipWikiText = this.tooltip || this.getVariable(\"tv-wikilink-tooltip\");\n\tif(tooltipWikiText) {\n\t\tvar tooltipText = this.wiki.renderText(\"text/plain\",\"text/vnd.tiddlywiki\",tooltipWikiText,{\n\t\t\t\tparseAsInline: true,\n\t\t\t\tvariables: {\n\t\t\t\t\tcurrentTiddler: this.to\n\t\t\t\t},\n\t\t\t\tparentWidget: this\n\t\t\t});\n\t\tdomNode.setAttribute(\"title\",tooltipText);\n\t}\n\tif(this[\"aria-label\"]) {\n\t\tdomNode.setAttribute(\"aria-label\",this[\"aria-label\"]);\n\t}\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(domNode,[\n\t\t{name: \"click\", handlerObject: this, handlerMethod: \"handleClickEvent\"},\n\t]);\n\t// Make the link draggable if required\n\tif(this.draggable === \"yes\") {\n\t\t$tw.utils.makeDraggable({\n\t\t\tdomNode: domNode,\n\t\t\tdragTiddlerFn: function() {return self.to;},\n\t\t\twidget: this\n\t\t});\n\t}\n\t// Insert the link into the DOM and render any children\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\nLinkWidget.prototype.handleClickEvent = function(event) {\n\t// Send the click on its way as a navigate event\n\tvar bounds = this.domNodes[0].getBoundingClientRect();\n\tthis.dispatchEvent({\n\t\ttype: \"tm-navigate\",\n\t\tnavigateTo: this.to,\n\t\tnavigateFromTitle: this.getVariable(\"storyTiddler\"),\n\t\tnavigateFromNode: this,\n\t\tnavigateFromClientRect: { top: bounds.top, left: bounds.left, width: bounds.width, right: bounds.right, bottom: bounds.bottom, height: bounds.height\n\t\t},\n\t\tnavigateSuppressNavigation: event.metaKey || event.ctrlKey || (event.button === 1),\n\t\tmetaKey: event.metaKey,\n\t\tctrlKey: event.ctrlKey,\n\t\taltKey: event.altKey,\n\t\tshiftKey: event.shiftKey\n\t});\n\tif(this.domNodes[0].hasAttribute(\"href\")) {\n\t\tevent.preventDefault();\n\t}\n\tevent.stopPropagation();\n\treturn false;\n};\n\n/*\nCompute the internal state of the widget\n*/\nLinkWidget.prototype.execute = function() {\n\t// Pick up our attributes\n\tthis.to = this.getAttribute(\"to\",this.getVariable(\"currentTiddler\"));\n\tthis.tooltip = this.getAttribute(\"tooltip\");\n\tthis[\"aria-label\"] = this.getAttribute(\"aria-label\");\n\tthis.linkClasses = this.getAttribute(\"class\");\n\tthis.overrideClasses = this.getAttribute(\"overrideClass\");\n\tthis.tabIndex = this.getAttribute(\"tabindex\");\n\tthis.draggable = this.getAttribute(\"draggable\",\"yes\");\n\tthis.linkTag = this.getAttribute(\"tag\",\"a\");\n\t// Determine the link characteristics\n\tthis.isMissing = !this.wiki.tiddlerExists(this.to);\n\tthis.isShadow = this.wiki.isShadowTiddler(this.to);\n\tthis.hideMissingLinks = (this.getVariable(\"tv-show-missing-links\") || \"yes\") === \"no\";\n\t// Make the child widgets\n\tvar templateTree;\n\tif(this.parseTreeNode.children && this.parseTreeNode.children.length > 0) {\n\t\ttemplateTree = this.parseTreeNode.children;\n\t} else {\n\t\t// Default template is a link to the title\n\t\ttemplateTree = [{type: \"text\", text: this.to}];\n\t}\n\tthis.makeChildWidgets(templateTree);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nLinkWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.to || changedTiddlers[this.to] || changedAttributes[\"aria-label\"] || changedAttributes.tooltip) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.link = LinkWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/linkcatcher.js": {
"title": "$:/core/modules/widgets/linkcatcher.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/linkcatcher.js\ntype: application/javascript\nmodule-type: widget\n\nLinkcatcher widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar LinkCatcherWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n\tthis.addEventListeners([\n\t\t{type: \"tm-navigate\", handler: \"handleNavigateEvent\"}\n\t]);\n};\n\n/*\nInherit from the base widget class\n*/\nLinkCatcherWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nLinkCatcherWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nLinkCatcherWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.catchTo = this.getAttribute(\"to\");\n\tthis.catchMessage = this.getAttribute(\"message\");\n\tthis.catchSet = this.getAttribute(\"set\");\n\tthis.catchSetTo = this.getAttribute(\"setTo\");\n\tthis.catchActions = this.getAttribute(\"actions\");\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n\t// When executing actions we avoid trapping navigate events, so that we don't trigger ourselves recursively\n\tthis.executingActions = false;\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nLinkCatcherWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.to || changedAttributes.message || changedAttributes.set || changedAttributes.setTo) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\n/*\nHandle a tm-navigate event\n*/\nLinkCatcherWidget.prototype.handleNavigateEvent = function(event) {\n\tif(!this.executingActions) {\n\t\t// Execute the actions\n\t\tif(this.catchTo) {\n\t\t\tthis.wiki.setTextReference(this.catchTo,event.navigateTo,this.getVariable(\"currentTiddler\"));\n\t\t}\n\t\tif(this.catchMessage && this.parentWidget) {\n\t\t\tthis.parentWidget.dispatchEvent({\n\t\t\t\ttype: this.catchMessage,\n\t\t\t\tparam: event.navigateTo,\n\t\t\t\tnavigateTo: event.navigateTo\n\t\t\t});\n\t\t}\n\t\tif(this.catchSet) {\n\t\t\tvar tiddler = this.wiki.getTiddler(this.catchSet);\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,{title: this.catchSet, text: this.catchSetTo}));\n\t\t}\n\t\tif(this.catchActions) {\n\t\t\tthis.executingActions = true;\n\t\t\tthis.invokeActionString(this.catchActions,this,event,{navigateTo: event.navigateTo});\n\t\t\tthis.executingActions = false;\n\t\t}\n\t} else {\n\t\t// This is a navigate event generated by the actions of this linkcatcher, so we don't trap it again, but just pass it to the parent\n\t\tthis.parentWidget.dispatchEvent({\n\t\t\ttype: \"tm-navigate\",\n\t\t\tparam: event.navigateTo,\n\t\t\tnavigateTo: event.navigateTo\n\t\t});\n\t}\n\treturn false;\n};\n\nexports.linkcatcher = LinkCatcherWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/list.js": {
"title": "$:/core/modules/widgets/list.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/list.js\ntype: application/javascript\nmodule-type: widget\n\nList and list item widgets\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\n/*\nThe list widget creates list element sub-widgets that reach back into the list widget for their configuration\n*/\n\nvar ListWidget = function(parseTreeNode,options) {\n\t// Initialise the storyviews if they've not been done already\n\tif(!this.storyViews) {\n\t\tListWidget.prototype.storyViews = {};\n\t\t$tw.modules.applyMethods(\"storyview\",this.storyViews);\n\t}\n\t// Main initialisation inherited from widget.js\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nListWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nListWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n\t// Construct the storyview\n\tvar StoryView = this.storyViews[this.storyViewName];\n\tif(this.storyViewName && !StoryView) {\n\t\tStoryView = this.storyViews[\"classic\"];\n\t}\n\tif(StoryView && !this.document.isTiddlyWikiFakeDom) {\n\t\tthis.storyview = new StoryView(this);\n\t} else {\n\t\tthis.storyview = null;\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nListWidget.prototype.execute = function() {\n\t// Get our attributes\n\tthis.template = this.getAttribute(\"template\");\n\tthis.editTemplate = this.getAttribute(\"editTemplate\");\n\tthis.variableName = this.getAttribute(\"variable\",\"currentTiddler\");\n\tthis.storyViewName = this.getAttribute(\"storyview\");\n\tthis.historyTitle = this.getAttribute(\"history\");\n\t// Compose the list elements\n\tthis.list = this.getTiddlerList();\n\tvar members = [],\n\t\tself = this;\n\t// Check for an empty list\n\tif(this.list.length === 0) {\n\t\tmembers = this.getEmptyMessage();\n\t} else {\n\t\t$tw.utils.each(this.list,function(title,index) {\n\t\t\tmembers.push(self.makeItemTemplate(title));\n\t\t});\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets(members);\n\t// Clear the last history\n\tthis.history = [];\n};\n\nListWidget.prototype.getTiddlerList = function() {\n\tvar defaultFilter = \"[!is[system]sort[title]]\";\n\treturn this.wiki.filterTiddlers(this.getAttribute(\"filter\",defaultFilter),this);\n};\n\nListWidget.prototype.getEmptyMessage = function() {\n\tvar emptyMessage = this.getAttribute(\"emptyMessage\",\"\"),\n\t\tparser = this.wiki.parseText(\"text/vnd.tiddlywiki\",emptyMessage,{parseAsInline: true});\n\tif(parser) {\n\t\treturn parser.tree;\n\t} else {\n\t\treturn [];\n\t}\n};\n\n/*\nCompose the template for a list item\n*/\nListWidget.prototype.makeItemTemplate = function(title) {\n\t// Check if the tiddler is a draft\n\tvar tiddler = this.wiki.getTiddler(title),\n\t\tisDraft = tiddler && tiddler.hasField(\"draft.of\"),\n\t\ttemplate = this.template,\n\t\ttemplateTree;\n\tif(isDraft && this.editTemplate) {\n\t\ttemplate = this.editTemplate;\n\t}\n\t// Compose the transclusion of the template\n\tif(template) {\n\t\ttemplateTree = [{type: \"transclude\", attributes: {tiddler: {type: \"string\", value: template}}}];\n\t} else {\n\t\tif(this.parseTreeNode.children && this.parseTreeNode.children.length > 0) {\n\t\t\ttemplateTree = this.parseTreeNode.children;\n\t\t} else {\n\t\t\t// Default template is a link to the title\n\t\t\ttemplateTree = [{type: \"element\", tag: this.parseTreeNode.isBlock ? \"div\" : \"span\", children: [{type: \"link\", attributes: {to: {type: \"string\", value: title}}, children: [\n\t\t\t\t\t{type: \"text\", text: title}\n\t\t\t]}]}];\n\t\t}\n\t}\n\t// Return the list item\n\treturn {type: \"listitem\", itemTitle: title, variableName: this.variableName, children: templateTree};\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nListWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes(),\n\t\tresult;\n\t// Call the storyview\n\tif(this.storyview && this.storyview.refreshStart) {\n\t\tthis.storyview.refreshStart(changedTiddlers,changedAttributes);\n\t}\n\t// Completely refresh if any of our attributes have changed\n\tif(changedAttributes.filter || changedAttributes.template || changedAttributes.editTemplate || changedAttributes.emptyMessage || changedAttributes.storyview || changedAttributes.history) {\n\t\tthis.refreshSelf();\n\t\tresult = true;\n\t} else {\n\t\t// Handle any changes to the list\n\t\tresult = this.handleListChanges(changedTiddlers);\n\t\t// Handle any changes to the history stack\n\t\tif(this.historyTitle && changedTiddlers[this.historyTitle]) {\n\t\t\tthis.handleHistoryChanges();\n\t\t}\n\t}\n\t// Call the storyview\n\tif(this.storyview && this.storyview.refreshEnd) {\n\t\tthis.storyview.refreshEnd(changedTiddlers,changedAttributes);\n\t}\n\treturn result;\n};\n\n/*\nHandle any changes to the history list\n*/\nListWidget.prototype.handleHistoryChanges = function() {\n\t// Get the history data\n\tvar newHistory = this.wiki.getTiddlerDataCached(this.historyTitle,[]);\n\t// Ignore any entries of the history that match the previous history\n\tvar entry = 0;\n\twhile(entry < newHistory.length && entry < this.history.length && newHistory[entry].title === this.history[entry].title) {\n\t\tentry++;\n\t}\n\t// Navigate forwards to each of the new tiddlers\n\twhile(entry < newHistory.length) {\n\t\tif(this.storyview && this.storyview.navigateTo) {\n\t\t\tthis.storyview.navigateTo(newHistory[entry]);\n\t\t}\n\t\tentry++;\n\t}\n\t// Update the history\n\tthis.history = newHistory;\n};\n\n/*\nProcess any changes to the list\n*/\nListWidget.prototype.handleListChanges = function(changedTiddlers) {\n\t// Get the new list\n\tvar prevList = this.list;\n\tthis.list = this.getTiddlerList();\n\t// Check for an empty list\n\tif(this.list.length === 0) {\n\t\t// Check if it was empty before\n\t\tif(prevList.length === 0) {\n\t\t\t// If so, just refresh the empty message\n\t\t\treturn this.refreshChildren(changedTiddlers);\n\t\t} else {\n\t\t\t// Replace the previous content with the empty message\n\t\t\tfor(t=this.children.length-1; t>=0; t--) {\n\t\t\t\tthis.removeListItem(t);\n\t\t\t}\n\t\t\tvar nextSibling = this.findNextSiblingDomNode();\n\t\t\tthis.makeChildWidgets(this.getEmptyMessage());\n\t\t\tthis.renderChildren(this.parentDomNode,nextSibling);\n\t\t\treturn true;\n\t\t}\n\t} else {\n\t\t// If the list was empty then we need to remove the empty message\n\t\tif(prevList.length === 0) {\n\t\t\tthis.removeChildDomNodes();\n\t\t\tthis.children = [];\n\t\t}\n\t\t// Cycle through the list, inserting and removing list items as needed\n\t\tvar hasRefreshed = false;\n\t\tfor(var t=0; t<this.list.length; t++) {\n\t\t\tvar index = this.findListItem(t,this.list[t]);\n\t\t\tif(index === undefined) {\n\t\t\t\t// The list item must be inserted\n\t\t\t\tthis.insertListItem(t,this.list[t]);\n\t\t\t\thasRefreshed = true;\n\t\t\t} else {\n\t\t\t\t// There are intervening list items that must be removed\n\t\t\t\tfor(var n=index-1; n>=t; n--) {\n\t\t\t\t\tthis.removeListItem(n);\n\t\t\t\t\thasRefreshed = true;\n\t\t\t\t}\n\t\t\t\t// Refresh the item we're reusing\n\t\t\t\tvar refreshed = this.children[t].refresh(changedTiddlers);\n\t\t\t\thasRefreshed = hasRefreshed || refreshed;\n\t\t\t}\n\t\t}\n\t\t// Remove any left over items\n\t\tfor(t=this.children.length-1; t>=this.list.length; t--) {\n\t\t\tthis.removeListItem(t);\n\t\t\thasRefreshed = true;\n\t\t}\n\t\treturn hasRefreshed;\n\t}\n};\n\n/*\nFind the list item with a given title, starting from a specified position\n*/\nListWidget.prototype.findListItem = function(startIndex,title) {\n\twhile(startIndex < this.children.length) {\n\t\tif(this.children[startIndex].parseTreeNode.itemTitle === title) {\n\t\t\treturn startIndex;\n\t\t}\n\t\tstartIndex++;\n\t}\n\treturn undefined;\n};\n\n/*\nInsert a new list item at the specified index\n*/\nListWidget.prototype.insertListItem = function(index,title) {\n\t// Create, insert and render the new child widgets\n\tvar widget = this.makeChildWidget(this.makeItemTemplate(title));\n\twidget.parentDomNode = this.parentDomNode; // Hack to enable findNextSiblingDomNode() to work\n\tthis.children.splice(index,0,widget);\n\tvar nextSibling = widget.findNextSiblingDomNode();\n\twidget.render(this.parentDomNode,nextSibling);\n\t// Animate the insertion if required\n\tif(this.storyview && this.storyview.insert) {\n\t\tthis.storyview.insert(widget);\n\t}\n\treturn true;\n};\n\n/*\nRemove the specified list item\n*/\nListWidget.prototype.removeListItem = function(index) {\n\tvar widget = this.children[index];\n\t// Animate the removal if required\n\tif(this.storyview && this.storyview.remove) {\n\t\tthis.storyview.remove(widget);\n\t} else {\n\t\twidget.removeChildDomNodes();\n\t}\n\t// Remove the child widget\n\tthis.children.splice(index,1);\n};\n\nexports.list = ListWidget;\n\nvar ListItemWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nListItemWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nListItemWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nListItemWidget.prototype.execute = function() {\n\t// Set the current list item title\n\tthis.setVariable(this.parseTreeNode.variableName,this.parseTreeNode.itemTitle);\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nListItemWidget.prototype.refresh = function(changedTiddlers) {\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.listitem = ListItemWidget;\n\n})();",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/macrocall.js": {
"title": "$:/core/modules/widgets/macrocall.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/macrocall.js\ntype: application/javascript\nmodule-type: widget\n\nMacrocall widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar MacroCallWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nMacroCallWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nMacroCallWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nMacroCallWidget.prototype.execute = function() {\n\t// Get the parse type if specified\n\tthis.parseType = this.getAttribute(\"$type\",\"text/vnd.tiddlywiki\");\n\tthis.renderOutput = this.getAttribute(\"$output\",\"text/html\");\n\t// Merge together the parameters specified in the parse tree with the specified attributes\n\tvar params = this.parseTreeNode.params ? this.parseTreeNode.params.slice(0) : [];\n\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\tif(name.charAt(0) !== \"$\") {\n\t\t\tparams.push({name: name, value: attribute});\t\t\t\n\t\t}\n\t});\n\t// Get the macro value\n\tvar macroName = this.parseTreeNode.name || this.getAttribute(\"$name\"),\n\t\tvariableInfo = this.getVariableInfo(macroName,{params: params}),\n\t\ttext = variableInfo.text,\n\t\tparseTreeNodes;\n\t// Are we rendering to HTML?\n\tif(this.renderOutput === \"text/html\") {\n\t\t// If so we'll return the parsed macro\n\t\tvar parser = this.wiki.parseText(this.parseType,text,\n\t\t\t\t\t\t\t{parseAsInline: !this.parseTreeNode.isBlock});\n\t\tparseTreeNodes = parser ? parser.tree : [];\n\t\t// Wrap the parse tree in a vars widget assigning the parameters to variables named \"__paramname__\"\n\t\tvar attributes = {};\n\t\t$tw.utils.each(variableInfo.params,function(param) {\n\t\t\tvar name = \"__\" + param.name + \"__\";\n\t\t\tattributes[name] = {\n\t\t\t\tname: name,\n\t\t\t\ttype: \"string\",\n\t\t\t\tvalue: param.value\n\t\t\t};\n\t\t});\n\t\tparseTreeNodes = [{\n\t\t\ttype: \"vars\",\n\t\t\tattributes: attributes,\n\t\t\tchildren: parseTreeNodes\n\t\t}];\n\t} else {\n\t\t// Otherwise, we'll render the text\n\t\tvar plainText = this.wiki.renderText(\"text/plain\",this.parseType,text,{parentWidget: this});\n\t\tparseTreeNodes = [{type: \"text\", text: plainText}];\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets(parseTreeNodes);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nMacroCallWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif($tw.utils.count(changedAttributes) > 0) {\n\t\t// Rerender ourselves\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.macrocall = MacroCallWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/navigator.js": {
"title": "$:/core/modules/widgets/navigator.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/navigator.js\ntype: application/javascript\nmodule-type: widget\n\nNavigator widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar IMPORT_TITLE = \"$:/Import\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar NavigatorWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n\tthis.addEventListeners([\n\t\t{type: \"tm-navigate\", handler: \"handleNavigateEvent\"},\n\t\t{type: \"tm-edit-tiddler\", handler: \"handleEditTiddlerEvent\"},\n\t\t{type: \"tm-delete-tiddler\", handler: \"handleDeleteTiddlerEvent\"},\n\t\t{type: \"tm-save-tiddler\", handler: \"handleSaveTiddlerEvent\"},\n\t\t{type: \"tm-cancel-tiddler\", handler: \"handleCancelTiddlerEvent\"},\n\t\t{type: \"tm-close-tiddler\", handler: \"handleCloseTiddlerEvent\"},\n\t\t{type: \"tm-close-all-tiddlers\", handler: \"handleCloseAllTiddlersEvent\"},\n\t\t{type: \"tm-close-other-tiddlers\", handler: \"handleCloseOtherTiddlersEvent\"},\n\t\t{type: \"tm-new-tiddler\", handler: \"handleNewTiddlerEvent\"},\n\t\t{type: \"tm-import-tiddlers\", handler: \"handleImportTiddlersEvent\"},\n\t\t{type: \"tm-perform-import\", handler: \"handlePerformImportEvent\"},\n\t\t{type: \"tm-fold-tiddler\", handler: \"handleFoldTiddlerEvent\"},\n\t\t{type: \"tm-fold-other-tiddlers\", handler: \"handleFoldOtherTiddlersEvent\"},\n\t\t{type: \"tm-fold-all-tiddlers\", handler: \"handleFoldAllTiddlersEvent\"},\n\t\t{type: \"tm-unfold-all-tiddlers\", handler: \"handleUnfoldAllTiddlersEvent\"},\n\t\t{type: \"tm-rename-tiddler\", handler: \"handleRenameTiddlerEvent\"}\n\t]);\n};\n\n/*\nInherit from the base widget class\n*/\nNavigatorWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nNavigatorWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nNavigatorWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.storyTitle = this.getAttribute(\"story\");\n\tthis.historyTitle = this.getAttribute(\"history\");\n\tthis.setVariable(\"tv-story-list\",this.storyTitle);\n\tthis.setVariable(\"tv-history-list\",this.historyTitle);\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nNavigatorWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.story || changedAttributes.history) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nNavigatorWidget.prototype.getStoryList = function() {\n\treturn this.storyTitle ? this.wiki.getTiddlerList(this.storyTitle) : null;\n};\n\nNavigatorWidget.prototype.saveStoryList = function(storyList) {\n\tif(this.storyTitle) {\n\t\tvar storyTiddler = this.wiki.getTiddler(this.storyTitle);\n\t\tthis.wiki.addTiddler(new $tw.Tiddler(\n\t\t\t{title: this.storyTitle},\n\t\t\tstoryTiddler,\n\t\t\t{list: storyList}\n\t\t));\t\t\n\t}\n};\n\nNavigatorWidget.prototype.removeTitleFromStory = function(storyList,title) {\n\tif(storyList) {\n\t\tvar p = storyList.indexOf(title);\n\t\twhile(p !== -1) {\n\t\t\tstoryList.splice(p,1);\n\t\t\tp = storyList.indexOf(title);\n\t\t}\t\t\n\t}\n};\n\nNavigatorWidget.prototype.replaceFirstTitleInStory = function(storyList,oldTitle,newTitle) {\n\tif(storyList) {\n\t\tvar pos = storyList.indexOf(oldTitle);\n\t\tif(pos !== -1) {\n\t\t\tstoryList[pos] = newTitle;\n\t\t\tdo {\n\t\t\t\tpos = storyList.indexOf(oldTitle,pos + 1);\n\t\t\t\tif(pos !== -1) {\n\t\t\t\t\tstoryList.splice(pos,1);\n\t\t\t\t}\n\t\t\t} while(pos !== -1);\n\t\t} else {\n\t\t\tstoryList.splice(0,0,newTitle);\n\t\t}\t\t\n\t}\n};\n\nNavigatorWidget.prototype.addToStory = function(title,fromTitle) {\n\tif(this.storyTitle) {\n\t\tthis.wiki.addToStory(title,fromTitle,this.storyTitle,{\n\t\t\topenLinkFromInsideRiver: this.getAttribute(\"openLinkFromInsideRiver\",\"top\"),\n\t\t\topenLinkFromOutsideRiver: this.getAttribute(\"openLinkFromOutsideRiver\",\"top\")\n\t\t});\n\t}\n};\n\n/*\nAdd a new record to the top of the history stack\ntitle: a title string or an array of title strings\nfromPageRect: page coordinates of the origin of the navigation\n*/\nNavigatorWidget.prototype.addToHistory = function(title,fromPageRect) {\n\tthis.wiki.addToHistory(title,fromPageRect,this.historyTitle);\n};\n\n/*\nHandle a tm-navigate event\n*/\nNavigatorWidget.prototype.handleNavigateEvent = function(event) {\n\tevent = $tw.hooks.invokeHook(\"th-navigating\",event);\n\tif(event.navigateTo) {\n\t\tthis.addToStory(event.navigateTo,event.navigateFromTitle);\n\t\tif(!event.navigateSuppressNavigation) {\n\t\t\tthis.addToHistory(event.navigateTo,event.navigateFromClientRect);\n\t\t}\n\t}\n\treturn false;\n};\n\n// Close a specified tiddler\nNavigatorWidget.prototype.handleCloseTiddlerEvent = function(event) {\n\tvar title = event.param || event.tiddlerTitle,\n\t\tstoryList = this.getStoryList();\n\t// Look for tiddlers with this title to close\n\tthis.removeTitleFromStory(storyList,title);\n\tthis.saveStoryList(storyList);\n\treturn false;\n};\n\n// Close all tiddlers\nNavigatorWidget.prototype.handleCloseAllTiddlersEvent = function(event) {\n\tthis.saveStoryList([]);\n\treturn false;\n};\n\n// Close other tiddlers\nNavigatorWidget.prototype.handleCloseOtherTiddlersEvent = function(event) {\n\tvar title = event.param || event.tiddlerTitle;\n\tthis.saveStoryList([title]);\n\treturn false;\n};\n\n// Place a tiddler in edit mode\nNavigatorWidget.prototype.handleEditTiddlerEvent = function(event) {\n\tvar editTiddler = $tw.hooks.invokeHook(\"th-editing-tiddler\",event);\n\tif(!editTiddler) {\n\t\treturn false;\n\t}\n\tvar self = this;\n\tfunction isUnmodifiedShadow(title) {\n\t\treturn self.wiki.isShadowTiddler(title) && !self.wiki.tiddlerExists(title);\n\t}\n\tfunction confirmEditShadow(title) {\n\t\treturn confirm($tw.language.getString(\n\t\t\t\"ConfirmEditShadowTiddler\",\n\t\t\t{variables:\n\t\t\t\t{title: title}\n\t\t\t}\n\t\t));\n\t}\n\tvar title = event.param || event.tiddlerTitle;\n\tif(isUnmodifiedShadow(title) && !confirmEditShadow(title)) {\n\t\treturn false;\n\t}\n\t// Replace the specified tiddler with a draft in edit mode\n\tvar draftTiddler = this.makeDraftTiddler(title);\n\t// Update the story and history if required\n\tif(!event.paramObject || event.paramObject.suppressNavigation !== \"yes\") {\n\t\tvar draftTitle = draftTiddler.fields.title,\n\t\t\tstoryList = this.getStoryList();\n\t\tthis.removeTitleFromStory(storyList,draftTitle);\n\t\tthis.replaceFirstTitleInStory(storyList,title,draftTitle);\n\t\tthis.addToHistory(draftTitle,event.navigateFromClientRect);\n\t\tthis.saveStoryList(storyList);\n\t\treturn false;\n\t}\n};\n\n// Delete a tiddler\nNavigatorWidget.prototype.handleDeleteTiddlerEvent = function(event) {\n\t// Get the tiddler we're deleting\n\tvar title = event.param || event.tiddlerTitle,\n\t\ttiddler = this.wiki.getTiddler(title),\n\t\tstoryList = this.getStoryList(),\n\t\toriginalTitle = tiddler ? tiddler.fields[\"draft.of\"] : \"\",\n\t\toriginalTiddler = originalTitle ? this.wiki.getTiddler(originalTitle) : undefined,\n\t\tconfirmationTitle;\n\tif(!tiddler) {\n\t\treturn false;\n\t}\n\t// Check if the tiddler we're deleting is in draft mode\n\tif(originalTitle) {\n\t\t// If so, we'll prompt for confirmation referencing the original tiddler\n\t\tconfirmationTitle = originalTitle;\n\t} else {\n\t\t// If not a draft, then prompt for confirmation referencing the specified tiddler\n\t\tconfirmationTitle = title;\n\t}\n\t// Seek confirmation\n\tif((this.wiki.getTiddler(originalTitle) || (tiddler.fields.text || \"\") !== \"\") && !confirm($tw.language.getString(\n\t\t\t\t\"ConfirmDeleteTiddler\",\n\t\t\t\t{variables:\n\t\t\t\t\t{title: confirmationTitle}\n\t\t\t\t}\n\t\t\t))) {\n\t\treturn false;\n\t}\n\t// Delete the original tiddler\n\tif(originalTitle) {\n\t\tif(originalTiddler) {\n\t\t\t$tw.hooks.invokeHook(\"th-deleting-tiddler\",originalTiddler);\n\t\t}\n\t\tthis.wiki.deleteTiddler(originalTitle);\n\t\tthis.removeTitleFromStory(storyList,originalTitle);\n\t}\n\t// Invoke the hook function and delete this tiddler\n\t$tw.hooks.invokeHook(\"th-deleting-tiddler\",tiddler);\n\tthis.wiki.deleteTiddler(title);\n\t// Remove the closed tiddler from the story\n\tthis.removeTitleFromStory(storyList,title);\n\tthis.saveStoryList(storyList);\n\t// Trigger an autosave\n\t$tw.rootWidget.dispatchEvent({type: \"tm-auto-save-wiki\"});\n\treturn false;\n};\n\n/*\nCreate/reuse the draft tiddler for a given title\n*/\nNavigatorWidget.prototype.makeDraftTiddler = function(targetTitle) {\n\t// See if there is already a draft tiddler for this tiddler\n\tvar draftTitle = this.wiki.findDraft(targetTitle);\n\tif(draftTitle) {\n\t\treturn this.wiki.getTiddler(draftTitle);\n\t}\n\t// Get the current value of the tiddler we're editing\n\tvar tiddler = this.wiki.getTiddler(targetTitle);\n\t// Save the initial value of the draft tiddler\n\tdraftTitle = this.generateDraftTitle(targetTitle);\n\tvar draftTiddler = new $tw.Tiddler(\n\t\t\ttiddler,\n\t\t\t{\n\t\t\t\ttitle: draftTitle,\n\t\t\t\t\"draft.title\": targetTitle,\n\t\t\t\t\"draft.of\": targetTitle\n\t\t\t},\n\t\t\tthis.wiki.getModificationFields()\n\t\t);\n\tthis.wiki.addTiddler(draftTiddler);\n\treturn draftTiddler;\n};\n\n/*\nGenerate a title for the draft of a given tiddler\n*/\nNavigatorWidget.prototype.generateDraftTitle = function(title) {\n\treturn this.wiki.generateDraftTitle(title);\n};\n\n// Take a tiddler out of edit mode, saving the changes\nNavigatorWidget.prototype.handleSaveTiddlerEvent = function(event) {\n\tvar title = event.param || event.tiddlerTitle,\n\t\ttiddler = this.wiki.getTiddler(title),\n\t\tstoryList = this.getStoryList();\n\t// Replace the original tiddler with the draft\n\tif(tiddler) {\n\t\tvar draftTitle = (tiddler.fields[\"draft.title\"] || \"\").trim(),\n\t\t\tdraftOf = (tiddler.fields[\"draft.of\"] || \"\").trim();\n\t\tif(draftTitle) {\n\t\t\tvar isRename = draftOf !== draftTitle,\n\t\t\t\tisConfirmed = true;\n\t\t\tif(isRename && this.wiki.tiddlerExists(draftTitle)) {\n\t\t\t\tisConfirmed = confirm($tw.language.getString(\n\t\t\t\t\t\"ConfirmOverwriteTiddler\",\n\t\t\t\t\t{variables:\n\t\t\t\t\t\t{title: draftTitle}\n\t\t\t\t\t}\n\t\t\t\t));\n\t\t\t}\n\t\t\tif(isConfirmed) {\n\t\t\t\t// Create the new tiddler and pass it through the th-saving-tiddler hook\n\t\t\t\tvar newTiddler = new $tw.Tiddler(this.wiki.getCreationFields(),tiddler,{\n\t\t\t\t\ttitle: draftTitle,\n\t\t\t\t\t\"draft.title\": undefined,\n\t\t\t\t\t\"draft.of\": undefined\n\t\t\t\t},this.wiki.getModificationFields());\n\t\t\t\tnewTiddler = $tw.hooks.invokeHook(\"th-saving-tiddler\",newTiddler);\n\t\t\t\tthis.wiki.addTiddler(newTiddler);\n\t\t\t\t// If enabled, relink references to renamed tiddler\n\t\t\t\tvar shouldRelink = this.getAttribute(\"relinkOnRename\",\"no\").toLowerCase().trim() === \"yes\";\n\t\t\t\tif(isRename && shouldRelink && this.wiki.tiddlerExists(draftOf)) {\nconsole.log(\"Relinking '\" + draftOf + \"' to '\" + draftTitle + \"'\");\n\t\t\t\t\tthis.wiki.relinkTiddler(draftOf,draftTitle);\n\t\t\t\t}\n\t\t\t\t// Remove the draft tiddler\n\t\t\t\tthis.wiki.deleteTiddler(title);\n\t\t\t\t// Remove the original tiddler if we're renaming it\n\t\t\t\tif(isRename) {\n\t\t\t\t\tthis.wiki.deleteTiddler(draftOf);\n\t\t\t\t}\n\t\t\t\t// #2381 always remove new title & old\n\t\t\t\tthis.removeTitleFromStory(storyList,draftTitle);\n\t\t\t\tthis.removeTitleFromStory(storyList,draftOf);\n\t\t\t\tif(!event.paramObject || event.paramObject.suppressNavigation !== \"yes\") {\n\t\t\t\t\t// Replace the draft in the story with the original\n\t\t\t\t\tthis.replaceFirstTitleInStory(storyList,title,draftTitle);\n\t\t\t\t\tthis.addToHistory(draftTitle,event.navigateFromClientRect);\n\t\t\t\t\tif(draftTitle !== this.storyTitle) {\n\t\t\t\t\t\tthis.saveStoryList(storyList);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t// Trigger an autosave\n\t\t\t\t$tw.rootWidget.dispatchEvent({type: \"tm-auto-save-wiki\"});\n\t\t\t}\n\t\t}\n\t}\n\treturn false;\n};\n\n// Take a tiddler out of edit mode without saving the changes\nNavigatorWidget.prototype.handleCancelTiddlerEvent = function(event) {\n\tevent = $tw.hooks.invokeHook(\"th-cancelling-tiddler\", event);\n\t// Flip the specified tiddler from draft back to the original\n\tvar draftTitle = event.param || event.tiddlerTitle,\n\t\tdraftTiddler = this.wiki.getTiddler(draftTitle),\n\t\toriginalTitle = draftTiddler && draftTiddler.fields[\"draft.of\"];\n\tif(draftTiddler && originalTitle) {\n\t\t// Ask for confirmation if the tiddler text has changed\n\t\tvar isConfirmed = true,\n\t\t\toriginalTiddler = this.wiki.getTiddler(originalTitle),\n\t\t\tstoryList = this.getStoryList();\n\t\tif(this.wiki.isDraftModified(draftTitle)) {\n\t\t\tisConfirmed = confirm($tw.language.getString(\n\t\t\t\t\"ConfirmCancelTiddler\",\n\t\t\t\t{variables:\n\t\t\t\t\t{title: draftTitle}\n\t\t\t\t}\n\t\t\t));\n\t\t}\n\t\t// Remove the draft tiddler\n\t\tif(isConfirmed) {\n\t\t\tthis.wiki.deleteTiddler(draftTitle);\n\t\t\tif(!event.paramObject || event.paramObject.suppressNavigation !== \"yes\") {\n\t\t\t\tif(originalTiddler) {\n\t\t\t\t\tthis.replaceFirstTitleInStory(storyList,draftTitle,originalTitle);\n\t\t\t\t\tthis.addToHistory(originalTitle,event.navigateFromClientRect);\n\t\t\t\t} else {\n\t\t\t\t\tthis.removeTitleFromStory(storyList,draftTitle);\n\t\t\t\t}\n\t\t\t\tthis.saveStoryList(storyList);\n\t\t\t}\n\t\t}\n\t}\n\treturn false;\n};\n\n// Create a new draft tiddler\n// event.param can either be the title of a template tiddler, or a hashmap of fields.\n//\n// The title of the newly created tiddler follows these rules:\n// * If a hashmap was used and a title field was specified, use that title\n// * If a hashmap was used without a title field, use a default title, if necessary making it unique with a numeric suffix\n// * If a template tiddler was used, use the title of the template, if necessary making it unique with a numeric suffix\n//\n// If a draft of the target tiddler already exists then it is reused\nNavigatorWidget.prototype.handleNewTiddlerEvent = function(event) {\n\tevent = $tw.hooks.invokeHook(\"th-new-tiddler\", event);\n\t// Get the story details\n\tvar storyList = this.getStoryList(),\n\t\ttemplateTiddler, additionalFields, title, draftTitle, existingTiddler;\n\t// Get the template tiddler (if any)\n\tif(typeof event.param === \"string\") {\n\t\t// Get the template tiddler\n\t\ttemplateTiddler = this.wiki.getTiddler(event.param);\n\t\t// Generate a new title\n\t\ttitle = this.wiki.generateNewTitle(event.param || $tw.language.getString(\"DefaultNewTiddlerTitle\"));\n\t}\n\t// Get the specified additional fields\n\tif(typeof event.paramObject === \"object\") {\n\t\tadditionalFields = event.paramObject;\n\t}\n\tif(typeof event.param === \"object\") { // Backwards compatibility with 5.1.3\n\t\tadditionalFields = event.param;\n\t}\n\tif(additionalFields && additionalFields.title) {\n\t\ttitle = additionalFields.title;\n\t}\n\t// Make a copy of the additional fields excluding any blank ones\n\tvar filteredAdditionalFields = $tw.utils.extend({},additionalFields);\n\tObject.keys(filteredAdditionalFields).forEach(function(fieldName) {\n\t\tif(filteredAdditionalFields[fieldName] === \"\") {\n\t\t\tdelete filteredAdditionalFields[fieldName];\n\t\t}\n\t});\n\t// Generate a title if we don't have one\n\ttitle = title || this.wiki.generateNewTitle($tw.language.getString(\"DefaultNewTiddlerTitle\"));\n\t// Find any existing draft for this tiddler\n\tdraftTitle = this.wiki.findDraft(title);\n\t// Pull in any existing tiddler\n\tif(draftTitle) {\n\t\texistingTiddler = this.wiki.getTiddler(draftTitle);\n\t} else {\n\t\tdraftTitle = this.generateDraftTitle(title);\n\t\texistingTiddler = this.wiki.getTiddler(title);\n\t}\n\t// Merge the tags\n\tvar mergedTags = [];\n\tif(existingTiddler && existingTiddler.fields.tags) {\n\t\t$tw.utils.pushTop(mergedTags,existingTiddler.fields.tags);\n\t}\n\tif(additionalFields && additionalFields.tags) {\n\t\t// Merge tags\n\t\tmergedTags = $tw.utils.pushTop(mergedTags,$tw.utils.parseStringArray(additionalFields.tags));\n\t}\n\tif(templateTiddler && templateTiddler.fields.tags) {\n\t\t// Merge tags\n\t\tmergedTags = $tw.utils.pushTop(mergedTags,templateTiddler.fields.tags);\n\t}\n\t// Save the draft tiddler\n\tvar draftTiddler = new $tw.Tiddler({\n\t\t\ttext: \"\",\n\t\t\t\"draft.title\": title\n\t\t},\n\t\ttemplateTiddler,\n\t\tadditionalFields,\n\t\tthis.wiki.getCreationFields(),\n\t\texistingTiddler,\n\t\tfilteredAdditionalFields,\n\t\t{\n\t\t\ttitle: draftTitle,\n\t\t\t\"draft.of\": title,\n\t\t\ttags: mergedTags\n\t\t},this.wiki.getModificationFields());\n\tthis.wiki.addTiddler(draftTiddler);\n\t// Update the story to insert the new draft at the top and remove any existing tiddler\n\tif(storyList && storyList.indexOf(draftTitle) === -1) {\n\t\tvar slot = storyList.indexOf(event.navigateFromTitle);\n\t\tif(slot === -1) {\n\t\t\tslot = this.getAttribute(\"openLinkFromOutsideRiver\",\"top\") === \"bottom\" ? storyList.length - 1 : slot;\n\t\t}\n\t\tstoryList.splice(slot + 1,0,draftTitle);\n\t}\n\tif(storyList && storyList.indexOf(title) !== -1) {\n\t\tstoryList.splice(storyList.indexOf(title),1);\n\t}\n\tthis.saveStoryList(storyList);\n\t// Add a new record to the top of the history stack\n\tthis.addToHistory(draftTitle);\n\treturn false;\n};\n\n// Import JSON tiddlers into a pending import tiddler\nNavigatorWidget.prototype.handleImportTiddlersEvent = function(event) {\n\t// Get the tiddlers\n\tvar tiddlers = [];\n\ttry {\n\t\ttiddlers = JSON.parse(event.param);\n\t} catch(e) {\n\t}\n\t// Get the current $:/Import tiddler\n\tvar importTiddler = this.wiki.getTiddler(IMPORT_TITLE),\n\t\timportData = this.wiki.getTiddlerData(IMPORT_TITLE,{}),\n\t\tnewFields = new Object({\n\t\t\ttitle: IMPORT_TITLE,\n\t\t\ttype: \"application/json\",\n\t\t\t\"plugin-type\": \"import\",\n\t\t\t\"status\": \"pending\"\n\t\t}),\n\t\tincomingTiddlers = [];\n\t// Process each tiddler\n\timportData.tiddlers = importData.tiddlers || {};\n\t$tw.utils.each(tiddlers,function(tiddlerFields) {\n\t\ttiddlerFields.title = $tw.utils.trim(tiddlerFields.title);\n\t\tvar title = tiddlerFields.title;\n\t\tif(title) {\n\t\t\tincomingTiddlers.push(title);\n\t\t\timportData.tiddlers[title] = tiddlerFields;\n\t\t}\n\t});\n\t// Give the active upgrader modules a chance to process the incoming tiddlers\n\tvar messages = this.wiki.invokeUpgraders(incomingTiddlers,importData.tiddlers);\n\t$tw.utils.each(messages,function(message,title) {\n\t\tnewFields[\"message-\" + title] = message;\n\t});\n\t// Deselect any suppressed tiddlers\n\t$tw.utils.each(importData.tiddlers,function(tiddler,title) {\n\t\tif($tw.utils.count(tiddler) === 0) {\n\t\t\tnewFields[\"selection-\" + title] = \"unchecked\";\n\t\t}\n\t});\n\t// Save the $:/Import tiddler\n\tnewFields.text = JSON.stringify(importData,null,$tw.config.preferences.jsonSpaces);\n\tthis.wiki.addTiddler(new $tw.Tiddler(importTiddler,newFields));\n\t// Update the story and history details\n\tif(this.getVariable(\"tv-auto-open-on-import\") !== \"no\") {\n\t\tvar storyList = this.getStoryList(),\n\t\t\thistory = [];\n\t\t// Add it to the story\n\t\tif(storyList && storyList.indexOf(IMPORT_TITLE) === -1) {\n\t\t\tstoryList.unshift(IMPORT_TITLE);\n\t\t}\n\t\t// And to history\n\t\thistory.push(IMPORT_TITLE);\n\t\t// Save the updated story and history\n\t\tthis.saveStoryList(storyList);\n\t\tthis.addToHistory(history);\n\t}\n\treturn false;\n};\n\n//\nNavigatorWidget.prototype.handlePerformImportEvent = function(event) {\n\tvar self = this,\n\t\timportTiddler = this.wiki.getTiddler(event.param),\n\t\timportData = this.wiki.getTiddlerDataCached(event.param,{tiddlers: {}}),\n\t\timportReport = [];\n\t// Add the tiddlers to the store\n\timportReport.push($tw.language.getString(\"Import/Imported/Hint\") + \"\\n\");\n\t$tw.utils.each(importData.tiddlers,function(tiddlerFields) {\n\t\tvar title = tiddlerFields.title;\n\t\tif(title && importTiddler && importTiddler.fields[\"selection-\" + title] !== \"unchecked\") {\n\t\t\tvar tiddler = new $tw.Tiddler(tiddlerFields);\n\t\t\ttiddler = $tw.hooks.invokeHook(\"th-importing-tiddler\",tiddler);\n\t\t\tself.wiki.addTiddler(tiddler);\n\t\t\timportReport.push(\"# [[\" + tiddlerFields.title + \"]]\");\n\t\t}\n\t});\n\t// Replace the $:/Import tiddler with an import report\n\tthis.wiki.addTiddler(new $tw.Tiddler({\n\t\ttitle: event.param,\n\t\ttext: importReport.join(\"\\n\"),\n\t\t\"status\": \"complete\"\n\t}));\n\t// Navigate to the $:/Import tiddler\n\tthis.addToHistory([event.param]);\n\t// Trigger an autosave\n\t$tw.rootWidget.dispatchEvent({type: \"tm-auto-save-wiki\"});\n};\n\nNavigatorWidget.prototype.handleFoldTiddlerEvent = function(event) {\n\tvar paramObject = event.paramObject || {};\n\tif(paramObject.foldedState) {\n\t\tvar foldedState = this.wiki.getTiddlerText(paramObject.foldedState,\"show\") === \"show\" ? \"hide\" : \"show\";\n\t\tthis.wiki.setText(paramObject.foldedState,\"text\",null,foldedState);\n\t}\n};\n\nNavigatorWidget.prototype.handleFoldOtherTiddlersEvent = function(event) {\n\tvar self = this,\n\t\tparamObject = event.paramObject || {},\n\t\tprefix = paramObject.foldedStatePrefix;\n\t$tw.utils.each(this.getStoryList(),function(title) {\n\t\tself.wiki.setText(prefix + title,\"text\",null,event.param === title ? \"show\" : \"hide\");\n\t});\n};\n\nNavigatorWidget.prototype.handleFoldAllTiddlersEvent = function(event) {\n\tvar self = this,\n\t\tparamObject = event.paramObject || {},\n\t\tprefix = paramObject.foldedStatePrefix || \"$:/state/folded/\";\n\t$tw.utils.each(this.getStoryList(),function(title) {\n\t\tself.wiki.setText(prefix + title,\"text\",null,\"hide\");\n\t});\n};\n\nNavigatorWidget.prototype.handleUnfoldAllTiddlersEvent = function(event) {\n\tvar self = this,\n\t\tparamObject = event.paramObject || {},\n\t\tprefix = paramObject.foldedStatePrefix;\n\t$tw.utils.each(this.getStoryList(),function(title) {\n\t\tself.wiki.setText(prefix + title,\"text\",null,\"show\");\n\t});\n};\n\nNavigatorWidget.prototype.handleRenameTiddlerEvent = function(event) {\n\tvar paramObject = event.paramObject || {},\n\t\tfrom = paramObject.from || event.tiddlerTitle,\n\t\tto = paramObject.to;\n\tthis.wiki.renameTiddler(from,to);\n};\n\nexports.navigator = NavigatorWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/password.js": {
"title": "$:/core/modules/widgets/password.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/password.js\ntype: application/javascript\nmodule-type: widget\n\nPassword widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar PasswordWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nPasswordWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nPasswordWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Get the current password\n\tvar password = $tw.browser ? $tw.utils.getPassword(this.passwordName) || \"\" : \"\";\n\t// Create our element\n\tvar domNode = this.document.createElement(\"input\");\n\tdomNode.setAttribute(\"type\",\"password\");\n\tdomNode.setAttribute(\"value\",password);\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(domNode,[\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleChangeEvent\"}\n\t]);\n\t// Insert the label into the DOM and render any children\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\nPasswordWidget.prototype.handleChangeEvent = function(event) {\n\tvar password = this.domNodes[0].value;\n\treturn $tw.utils.savePassword(this.passwordName,password);\n};\n\n/*\nCompute the internal state of the widget\n*/\nPasswordWidget.prototype.execute = function() {\n\t// Get the parameters from the attributes\n\tthis.passwordName = this.getAttribute(\"name\",\"\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nPasswordWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.name) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.password = PasswordWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/qualify.js": {
"title": "$:/core/modules/widgets/qualify.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/qualify.js\ntype: application/javascript\nmodule-type: widget\n\nQualify text to a variable \n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar QualifyWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nQualifyWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nQualifyWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nQualifyWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.qualifyName = this.getAttribute(\"name\");\n\tthis.qualifyTitle = this.getAttribute(\"title\");\n\t// Set context variable\n\tif(this.qualifyName) {\n\t\tthis.setVariable(this.qualifyName,this.qualifyTitle + \"-\" + this.getStateQualifier());\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nQualifyWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.name || changedAttributes.title) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.qualify = QualifyWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/radio.js": {
"title": "$:/core/modules/widgets/radio.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/radio.js\ntype: application/javascript\nmodule-type: widget\n\nSet a field or index at a given tiddler via radio buttons\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar RadioWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nRadioWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nRadioWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\tvar isChecked = this.getValue() === this.radioValue;\n\t// Create our elements\n\tthis.labelDomNode = this.document.createElement(\"label\");\n\tthis.labelDomNode.setAttribute(\"class\",\n \t\t\"tc-radio \" + this.radioClass + (isChecked ? \" tc-radio-selected\" : \"\")\n \t);\n\tthis.inputDomNode = this.document.createElement(\"input\");\n\tthis.inputDomNode.setAttribute(\"type\",\"radio\");\n\tif(isChecked) {\n\t\tthis.inputDomNode.setAttribute(\"checked\",\"true\");\n\t}\n\tthis.labelDomNode.appendChild(this.inputDomNode);\n\tthis.spanDomNode = this.document.createElement(\"span\");\n\tthis.labelDomNode.appendChild(this.spanDomNode);\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(this.inputDomNode,[\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleChangeEvent\"}\n\t]);\n\t// Insert the label into the DOM and render any children\n\tparent.insertBefore(this.labelDomNode,nextSibling);\n\tthis.renderChildren(this.spanDomNode,null);\n\tthis.domNodes.push(this.labelDomNode);\n};\n\nRadioWidget.prototype.getValue = function() {\n\tvar value,\n\t\ttiddler = this.wiki.getTiddler(this.radioTitle);\n\tif (this.radioIndex) {\n\t\tvalue = this.wiki.extractTiddlerDataItem(this.radioTitle,this.radioIndex);\n\t} else {\n\t\tvalue = tiddler && tiddler.getFieldString(this.radioField);\n\t}\n\treturn value;\n};\n\nRadioWidget.prototype.setValue = function() {\n\tif(this.radioIndex) {\n\t\tthis.wiki.setText(this.radioTitle,\"\",this.radioIndex,this.radioValue);\n\t} else {\n\t\tvar tiddler = this.wiki.getTiddler(this.radioTitle),\n\t\t\taddition = {};\n\t\taddition[this.radioField] = this.radioValue;\n\t\tthis.wiki.addTiddler(new $tw.Tiddler(this.wiki.getCreationFields(),{title: this.radioTitle},tiddler,addition,this.wiki.getModificationFields()));\n\t}\n};\n\nRadioWidget.prototype.handleChangeEvent = function(event) {\n\tif(this.inputDomNode.checked) {\n\t\tthis.setValue();\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nRadioWidget.prototype.execute = function() {\n\t// Get the parameters from the attributes\n\tthis.radioTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.radioField = this.getAttribute(\"field\",\"text\");\n\tthis.radioIndex = this.getAttribute(\"index\");\n\tthis.radioValue = this.getAttribute(\"value\");\n\tthis.radioClass = this.getAttribute(\"class\",\"\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nRadioWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes.value || changedAttributes[\"class\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\tvar refreshed = false;\n\t\tif(changedTiddlers[this.radioTitle]) {\n\t\t\tthis.inputDomNode.checked = this.getValue() === this.radioValue;\n\t\t\trefreshed = true;\n\t\t}\n\t\treturn this.refreshChildren(changedTiddlers) || refreshed;\n\t}\n};\n\nexports.radio = RadioWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/range.js": {
"title": "$:/core/modules/widgets/range.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/range.js\ntype: application/javascript\nmodule-type: widget\n\nRange widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar RangeWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nRangeWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nRangeWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Create our elements\n\tthis.inputDomNode = this.document.createElement(\"input\");\n\tthis.inputDomNode.setAttribute(\"type\",\"range\");\n\tthis.inputDomNode.setAttribute(\"class\",this.elementClass);\n\tif(this.minValue){\n\t\tthis.inputDomNode.setAttribute(\"min\", this.minValue);\n\t}\n\tif(this.maxValue){\n\t\tthis.inputDomNode.setAttribute(\"max\", this.maxValue);\n\t}\n\tif(this.increment){\n\t\tthis.inputDomNode.setAttribute(\"step\", this.increment);\n\t}\n\tthis.inputDomNode.value = this.getValue();\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(this.inputDomNode,[\n\t\t{name: \"input\", handlerObject: this, handlerMethod: \"handleInputEvent\"},\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleInputEvent\"}\t\t\n\t]);\n\t// Insert the label into the DOM and render any children\n\tparent.insertBefore(this.inputDomNode,nextSibling);\n\tthis.domNodes.push(this.inputDomNode);\n};\n\nRangeWidget.prototype.getValue = function() {\n\tvar tiddler = this.wiki.getTiddler(this.tiddlerTitle),\n\t\tfieldName = this.tiddlerField || \"text\",\n\t\tvalue = this.defaultValue;\n\tif(tiddler) {\n\t\tif(this.tiddlerIndex) {\n\t\t\tvalue = this.wiki.extractTiddlerDataItem(tiddler,this.tiddlerIndex,this.defaultValue || \"\");\n\t\t} else {\n\t\t\tif($tw.utils.hop(tiddler.fields,fieldName)) {\n\t\t\t\tvalue = tiddler.fields[fieldName] || \"\";\n\t\t\t} else {\n\t\t\t\tvalue = this.defaultValue || \"\";\n\t\t\t}\n\t\t}\n\t}\n\treturn value;\n};\n\nRangeWidget.prototype.handleInputEvent = function(event) {\n\tif(this.getValue() !== this.inputDomNode.value) {\n\t\tif(this.tiddlerIndex) {\n\t\t\tthis.wiki.setText(this.tiddlerTitle,\"\",this.tiddlerIndex,this.inputDomNode.value);\n\t\t} else {\n\t\t\tthis.wiki.setText(this.tiddlerTitle,this.tiddlerField,null,this.inputDomNode.value);\n\t\t}\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nRangeWidget.prototype.execute = function() {\n\t// Get the parameters from the attributes\n\tthis.tiddlerTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.tiddlerField = this.getAttribute(\"field\");\n\tthis.tiddlerIndex = this.getAttribute(\"index\");\n\tthis.minValue = this.getAttribute(\"min\");\n\tthis.maxValue = this.getAttribute(\"max\");\n\tthis.increment = this.getAttribute(\"increment\");\n\tthis.defaultValue = this.getAttribute(\"default\");\n\tthis.elementClass = this.getAttribute(\"class\",\"\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nRangeWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes['min'] || changedAttributes['max'] || changedAttributes['increment'] || changedAttributes[\"default\"] || changedAttributes[\"class\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\tvar refreshed = false;\n\t\tif(changedTiddlers[this.tiddlerTitle]) {\n\t\t\tvar value = this.getValue();\n\t\t\tif(this.inputDomNode.value !== value) {\n\t\t\t\tthis.inputDomNode.value = value;\t\t\t\t\n\t\t\t}\n\t\t\trefreshed = true;\n\t\t}\n\t\treturn this.refreshChildren(changedTiddlers) || refreshed;\n\t}\n};\n\nexports.range = RangeWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/raw.js": {
"title": "$:/core/modules/widgets/raw.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/raw.js\ntype: application/javascript\nmodule-type: widget\n\nRaw widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar RawWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nRawWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nRawWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.execute();\n\tvar div = this.document.createElement(\"div\");\n\tdiv.innerHTML=this.parseTreeNode.html;\n\tparent.insertBefore(div,nextSibling);\n\tthis.domNodes.push(div);\t\n};\n\n/*\nCompute the internal state of the widget\n*/\nRawWidget.prototype.execute = function() {\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nRawWidget.prototype.refresh = function(changedTiddlers) {\n\treturn false;\n};\n\nexports.raw = RawWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/reveal.js": {
"title": "$:/core/modules/widgets/reveal.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/reveal.js\ntype: application/javascript\nmodule-type: widget\n\nReveal widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar RevealWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nRevealWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nRevealWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar tag = this.parseTreeNode.isBlock ? \"div\" : \"span\";\n\tif(this.revealTag && $tw.config.htmlUnsafeElements.indexOf(this.revealTag) === -1) {\n\t\ttag = this.revealTag;\n\t}\n\tvar domNode = this.document.createElement(tag);\n\tvar classes = this[\"class\"].split(\" \") || [];\n\tclasses.push(\"tc-reveal\");\n\tdomNode.className = classes.join(\" \");\n\tif(this.style) {\n\t\tdomNode.setAttribute(\"style\",this.style);\n\t}\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tif(!domNode.isTiddlyWikiFakeDom && this.type === \"popup\" && this.isOpen) {\n\t\tthis.positionPopup(domNode);\n\t\t$tw.utils.addClass(domNode,\"tc-popup\"); // Make sure that clicks don't dismiss popups within the revealed content\n\t}\n\tif(!this.isOpen) {\n\t\tdomNode.setAttribute(\"hidden\",\"true\");\n\t}\n\tthis.domNodes.push(domNode);\n};\n\nRevealWidget.prototype.positionPopup = function(domNode) {\n\tdomNode.style.position = \"absolute\";\n\tdomNode.style.zIndex = \"1000\";\n\tvar left,top;\n\tswitch(this.position) {\n\t\tcase \"left\":\n\t\t\tleft = this.popup.left - domNode.offsetWidth;\n\t\t\ttop = this.popup.top;\n\t\t\tbreak;\n\t\tcase \"above\":\n\t\t\tleft = this.popup.left;\n\t\t\ttop = this.popup.top - domNode.offsetHeight;\n\t\t\tbreak;\n\t\tcase \"aboveright\":\n\t\t\tleft = this.popup.left + this.popup.width;\n\t\t\ttop = this.popup.top + this.popup.height - domNode.offsetHeight;\n\t\t\tbreak;\n\t\tcase \"right\":\n\t\t\tleft = this.popup.left + this.popup.width;\n\t\t\ttop = this.popup.top;\n\t\t\tbreak;\n\t\tcase \"belowleft\":\n\t\t\tleft = this.popup.left + this.popup.width - domNode.offsetWidth;\n\t\t\ttop = this.popup.top + this.popup.height;\n\t\t\tbreak;\n\t\tdefault: // Below\n\t\t\tleft = this.popup.left;\n\t\t\ttop = this.popup.top + this.popup.height;\n\t\t\tbreak;\n\t}\n\tif(!this.positionAllowNegative) {\n\t\tleft = Math.max(0,left);\n\t\ttop = Math.max(0,top);\n\t}\n\tdomNode.style.left = left + \"px\";\n\tdomNode.style.top = top + \"px\";\n};\n\n/*\nCompute the internal state of the widget\n*/\nRevealWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.state = this.getAttribute(\"state\");\n\tthis.revealTag = this.getAttribute(\"tag\");\n\tthis.type = this.getAttribute(\"type\");\n\tthis.text = this.getAttribute(\"text\");\n\tthis.position = this.getAttribute(\"position\");\n\tthis.positionAllowNegative = this.getAttribute(\"positionAllowNegative\") === \"yes\";\n\tthis[\"class\"] = this.getAttribute(\"class\",\"\");\n\tthis.style = this.getAttribute(\"style\",\"\");\n\tthis[\"default\"] = this.getAttribute(\"default\",\"\");\n\tthis.animate = this.getAttribute(\"animate\",\"no\");\n\tthis.retain = this.getAttribute(\"retain\",\"no\");\n\tthis.openAnimation = this.animate === \"no\" ? undefined : \"open\";\n\tthis.closeAnimation = this.animate === \"no\" ? undefined : \"close\";\n\t// Compute the title of the state tiddler and read it\n\tthis.stateTiddlerTitle = this.state;\n\tthis.stateTitle = this.getAttribute(\"stateTitle\");\n\tthis.stateField = this.getAttribute(\"stateField\");\n\tthis.stateIndex = this.getAttribute(\"stateIndex\");\n\tthis.readState();\n\t// Construct the child widgets\n\tvar childNodes = this.isOpen ? this.parseTreeNode.children : [];\n\tthis.hasChildNodes = this.isOpen;\n\tthis.makeChildWidgets(childNodes);\n};\n\n/*\nRead the state tiddler\n*/\nRevealWidget.prototype.readState = function() {\n\t// Read the information from the state tiddler\n\tvar state,\n\t defaultState = this[\"default\"];\n\tif(this.stateTitle) {\n\t\tvar stateTitleTiddler = this.wiki.getTiddler(this.stateTitle);\n\t\tif(this.stateField) {\n\t\t\tstate = stateTitleTiddler ? stateTitleTiddler.getFieldString(this.stateField) || defaultState : defaultState;\n\t\t} else if(this.stateIndex) {\n\t\t\tstate = stateTitleTiddler ? this.wiki.extractTiddlerDataItem(this.stateTitle,this.stateIndex) || defaultState : defaultState;\n\t\t} else if(stateTitleTiddler) {\n\t\t\tstate = this.wiki.getTiddlerText(this.stateTitle) || defaultState;\n\t\t} else {\n\t\t\tstate = defaultState;\n\t\t}\n\t} else {\n\t\tstate = this.stateTiddlerTitle ? this.wiki.getTextReference(this.state,this[\"default\"],this.getVariable(\"currentTiddler\")) : this[\"default\"];\n\t}\n\tif(state === null) {\n\t\tstate = this[\"default\"];\n\t}\n\tswitch(this.type) {\n\t\tcase \"popup\":\n\t\t\tthis.readPopupState(state);\n\t\t\tbreak;\n\t\tcase \"match\":\n\t\t\tthis.isOpen = this.text === state;\n\t\t\tbreak;\n\t\tcase \"nomatch\":\n\t\t\tthis.isOpen = this.text !== state;\n\t\t\tbreak;\n\t\tcase \"lt\":\n\t\t\tthis.isOpen = !!(this.compareStateText(state) < 0);\n\t\t\tbreak;\n\t\tcase \"gt\":\n\t\t\tthis.isOpen = !!(this.compareStateText(state) > 0);\n\t\t\tbreak;\n\t\tcase \"lteq\":\n\t\t\tthis.isOpen = !(this.compareStateText(state) > 0);\n\t\t\tbreak;\n\t\tcase \"gteq\":\n\t\t\tthis.isOpen = !(this.compareStateText(state) < 0);\n\t\t\tbreak;\n\t}\n};\n\nRevealWidget.prototype.compareStateText = function(state) {\n\treturn state.localeCompare(this.text,undefined,{numeric: true,sensitivity: \"case\"});\n};\n\nRevealWidget.prototype.readPopupState = function(state) {\n\tvar popupLocationRegExp = /^\\((-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+)\\)$/,\n\t\tmatch = popupLocationRegExp.exec(state);\n\t// Check if the state matches the location regexp\n\tif(match) {\n\t\t// If so, we're open\n\t\tthis.isOpen = true;\n\t\t// Get the location\n\t\tthis.popup = {\n\t\t\tleft: parseFloat(match[1]),\n\t\t\ttop: parseFloat(match[2]),\n\t\t\twidth: parseFloat(match[3]),\n\t\t\theight: parseFloat(match[4])\n\t\t};\n\t} else {\n\t\t// If not, we're closed\n\t\tthis.isOpen = false;\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nRevealWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.state || changedAttributes.type || changedAttributes.text || changedAttributes.position || changedAttributes.positionAllowNegative || changedAttributes[\"default\"] || changedAttributes.animate || changedAttributes.stateTitle || changedAttributes.stateField || changedAttributes.stateIndex) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\tvar currentlyOpen = this.isOpen;\n\t\tthis.readState();\n\t\tif(this.isOpen !== currentlyOpen) {\n\t\t\tif(this.retain === \"yes\") {\n\t\t\t\tthis.updateState();\n\t\t\t} else {\n\t\t\t\tthis.refreshSelf();\n\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\n/*\nCalled by refresh() to dynamically show or hide the content\n*/\nRevealWidget.prototype.updateState = function() {\n\tvar self = this;\n\t// Read the current state\n\tthis.readState();\n\t// Construct the child nodes if needed\n\tvar domNode = this.domNodes[0];\n\tif(this.isOpen && !this.hasChildNodes) {\n\t\tthis.hasChildNodes = true;\n\t\tthis.makeChildWidgets(this.parseTreeNode.children);\n\t\tthis.renderChildren(domNode,null);\n\t}\n\t// Animate our DOM node\n\tif(!domNode.isTiddlyWikiFakeDom && this.type === \"popup\" && this.isOpen) {\n\t\tthis.positionPopup(domNode);\n\t\t$tw.utils.addClass(domNode,\"tc-popup\"); // Make sure that clicks don't dismiss popups within the revealed content\n\n\t}\n\tif(this.isOpen) {\n\t\tdomNode.removeAttribute(\"hidden\");\n $tw.anim.perform(this.openAnimation,domNode);\n\t} else {\n\t\t$tw.anim.perform(this.closeAnimation,domNode,{callback: function() {\n\t\t\t//make sure that the state hasn't changed during the close animation\n\t\t\tself.readState()\n\t\t\tif(!self.isOpen) {\n\t\t\t\tdomNode.setAttribute(\"hidden\",\"true\");\n\t\t\t}\n\t\t}});\n\t}\n};\n\nexports.reveal = RevealWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/scrollable.js": {
"title": "$:/core/modules/widgets/scrollable.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/scrollable.js\ntype: application/javascript\nmodule-type: widget\n\nScrollable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ScrollableWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n\tthis.scaleFactor = 1;\n\tthis.addEventListeners([\n\t\t{type: \"tm-scroll\", handler: \"handleScrollEvent\"}\n\t]);\n\tif($tw.browser) {\n\t\tthis.requestAnimationFrame = window.requestAnimationFrame ||\n\t\t\twindow.webkitRequestAnimationFrame ||\n\t\t\twindow.mozRequestAnimationFrame ||\n\t\t\tfunction(callback) {\n\t\t\t\treturn window.setTimeout(callback, 1000/60);\n\t\t\t};\n\t\tthis.cancelAnimationFrame = window.cancelAnimationFrame ||\n\t\t\twindow.webkitCancelAnimationFrame ||\n\t\t\twindow.webkitCancelRequestAnimationFrame ||\n\t\t\twindow.mozCancelAnimationFrame ||\n\t\t\twindow.mozCancelRequestAnimationFrame ||\n\t\t\tfunction(id) {\n\t\t\t\twindow.clearTimeout(id);\n\t\t\t};\n\t}\n};\n\n/*\nInherit from the base widget class\n*/\nScrollableWidget.prototype = new Widget();\n\nScrollableWidget.prototype.cancelScroll = function() {\n\tif(this.idRequestFrame) {\n\t\tthis.cancelAnimationFrame.call(window,this.idRequestFrame);\n\t\tthis.idRequestFrame = null;\n\t}\n};\n\n/*\nHandle a scroll event\n*/\nScrollableWidget.prototype.handleScrollEvent = function(event) {\n\t// Pass the scroll event through if our offsetsize is larger than our scrollsize\n\tif(this.outerDomNode.scrollWidth <= this.outerDomNode.offsetWidth && this.outerDomNode.scrollHeight <= this.outerDomNode.offsetHeight && this.fallthrough === \"yes\") {\n\t\treturn true;\n\t}\n\tthis.scrollIntoView(event.target);\n\treturn false; // Handled event\n};\n\n/*\nScroll an element into view\n*/\nScrollableWidget.prototype.scrollIntoView = function(element) {\n\tvar duration = $tw.utils.getAnimationDuration();\n\tthis.cancelScroll();\n\tthis.startTime = Date.now();\n\tvar scrollPosition = {\n\t\tx: this.outerDomNode.scrollLeft,\n\t\ty: this.outerDomNode.scrollTop\n\t};\n\t// Get the client bounds of the element and adjust by the scroll position\n\tvar scrollableBounds = this.outerDomNode.getBoundingClientRect(),\n\t\tclientTargetBounds = element.getBoundingClientRect(),\n\t\tbounds = {\n\t\t\tleft: clientTargetBounds.left + scrollPosition.x - scrollableBounds.left,\n\t\t\ttop: clientTargetBounds.top + scrollPosition.y - scrollableBounds.top,\n\t\t\twidth: clientTargetBounds.width,\n\t\t\theight: clientTargetBounds.height\n\t\t};\n\t// We'll consider the horizontal and vertical scroll directions separately via this function\n\tvar getEndPos = function(targetPos,targetSize,currentPos,currentSize) {\n\t\t\t// If the target is already visible then stay where we are\n\t\t\tif(targetPos >= currentPos && (targetPos + targetSize) <= (currentPos + currentSize)) {\n\t\t\t\treturn currentPos;\n\t\t\t// If the target is above/left of the current view, then scroll to its top/left\n\t\t\t} else if(targetPos <= currentPos) {\n\t\t\t\treturn targetPos;\n\t\t\t// If the target is smaller than the window and the scroll position is too far up, then scroll till the target is at the bottom of the window\n\t\t\t} else if(targetSize < currentSize && currentPos < (targetPos + targetSize - currentSize)) {\n\t\t\t\treturn targetPos + targetSize - currentSize;\n\t\t\t// If the target is big, then just scroll to the top\n\t\t\t} else if(currentPos < targetPos) {\n\t\t\t\treturn targetPos;\n\t\t\t// Otherwise, stay where we are\n\t\t\t} else {\n\t\t\t\treturn currentPos;\n\t\t\t}\n\t\t},\n\t\tendX = getEndPos(bounds.left,bounds.width,scrollPosition.x,this.outerDomNode.offsetWidth),\n\t\tendY = getEndPos(bounds.top,bounds.height,scrollPosition.y,this.outerDomNode.offsetHeight);\n\t// Only scroll if necessary\n\tif(endX !== scrollPosition.x || endY !== scrollPosition.y) {\n\t\tvar self = this,\n\t\t\tdrawFrame;\n\t\tdrawFrame = function () {\n\t\t\tvar t;\n\t\t\tif(duration <= 0) {\n\t\t\t\tt = 1;\n\t\t\t} else {\n\t\t\t\tt = ((Date.now()) - self.startTime) / duration;\t\n\t\t\t}\n\t\t\tif(t >= 1) {\n\t\t\t\tself.cancelScroll();\n\t\t\t\tt = 1;\n\t\t\t}\n\t\t\tt = $tw.utils.slowInSlowOut(t);\n\t\t\tself.outerDomNode.scrollLeft = scrollPosition.x + (endX - scrollPosition.x) * t;\n\t\t\tself.outerDomNode.scrollTop = scrollPosition.y + (endY - scrollPosition.y) * t;\n\t\t\tif(t < 1) {\n\t\t\t\tself.idRequestFrame = self.requestAnimationFrame.call(window,drawFrame);\n\t\t\t}\n\t\t};\n\t\tdrawFrame();\n\t}\n};\n\n/*\nRender this widget into the DOM\n*/\nScrollableWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create elements\n\tthis.outerDomNode = this.document.createElement(\"div\");\n\t$tw.utils.setStyle(this.outerDomNode,[\n\t\t{overflowY: \"auto\"},\n\t\t{overflowX: \"auto\"},\n\t\t{webkitOverflowScrolling: \"touch\"}\n\t]);\n\tthis.innerDomNode = this.document.createElement(\"div\");\n\tthis.outerDomNode.appendChild(this.innerDomNode);\n\t// Assign classes\n\tthis.outerDomNode.className = this[\"class\"] || \"\";\n\t// Insert element\n\tparent.insertBefore(this.outerDomNode,nextSibling);\n\tthis.renderChildren(this.innerDomNode,null);\n\tthis.domNodes.push(this.outerDomNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nScrollableWidget.prototype.execute = function() {\n\t// Get attributes\n\tthis.fallthrough = this.getAttribute(\"fallthrough\",\"yes\");\n\tthis[\"class\"] = this.getAttribute(\"class\");\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nScrollableWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"class\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.scrollable = ScrollableWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/select.js": {
"title": "$:/core/modules/widgets/select.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/select.js\ntype: application/javascript\nmodule-type: widget\n\nSelect widget:\n\n```\n<$select tiddler=\"MyTiddler\" field=\"text\">\n<$list filter=\"[tag[chapter]]\">\n<option value=<<currentTiddler>>>\n<$view field=\"description\"/>\n</option>\n</$list>\n</$select>\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar SelectWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSelectWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSelectWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n\tthis.setSelectValue();\n\t$tw.utils.addEventListeners(this.getSelectDomNode(),[\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleChangeEvent\"}\n\t]);\n};\n\n/*\nHandle a change event\n*/\nSelectWidget.prototype.handleChangeEvent = function(event) {\n\t// Get the new value and assign it to the tiddler\n\tif(this.selectMultiple == false) {\n\t\tvar value = this.getSelectDomNode().value;\n\t} else {\n\t\tvar value = this.getSelectValues()\n\t\t\t\tvalue = $tw.utils.stringifyList(value);\n\t}\n\tthis.wiki.setText(this.selectTitle,this.selectField,this.selectIndex,value);\n\t// Trigger actions\n\tif(this.selectActions) {\n\t\tthis.invokeActionString(this.selectActions,this,event);\n\t}\n};\n\n/*\nIf necessary, set the value of the select element to the current value\n*/\nSelectWidget.prototype.setSelectValue = function() {\n\tvar value = this.selectDefault;\n\t// Get the value\n\tif(this.selectIndex) {\n\t\tvalue = this.wiki.extractTiddlerDataItem(this.selectTitle,this.selectIndex,value);\n\t} else {\n\t\tvar tiddler = this.wiki.getTiddler(this.selectTitle);\n\t\tif(tiddler) {\n\t\t\tif(this.selectField === \"text\") {\n\t\t\t\t// Calling getTiddlerText() triggers lazy loading of skinny tiddlers\n\t\t\t\tvalue = this.wiki.getTiddlerText(this.selectTitle);\n\t\t\t} else {\n\t\t\t\tif($tw.utils.hop(tiddler.fields,this.selectField)) {\n\t\t\t\t\tvalue = tiddler.getFieldString(this.selectField);\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tif(this.selectField === \"title\") {\n\t\t\t\tvalue = this.selectTitle;\n\t\t\t}\n\t\t}\n\t}\n\t// Assign it to the select element if it's different than the current value\n\tif (this.selectMultiple) {\n\t\tvalue = value === undefined ? \"\" : value;\n\t\tvar select = this.getSelectDomNode();\n\t\tvar values = Array.isArray(value) ? value : $tw.utils.parseStringArray(value);\n\t\tfor(var i=0; i < select.children.length; i++){\n\t\t\tselect.children[i].selected = values.indexOf(select.children[i].value) !== -1\n\t\t}\n\t} else {\n\t\tvar domNode = this.getSelectDomNode();\n\t\tif(domNode.value !== value) {\n\t\t\tdomNode.value = value;\n\t\t}\n\t}\n};\n\n/*\nGet the DOM node of the select element\n*/\nSelectWidget.prototype.getSelectDomNode = function() {\n\treturn this.children[0].domNodes[0];\n};\n\n// Return an array of the selected opion values\n// select is an HTML select element\nSelectWidget.prototype.getSelectValues = function() {\n\tvar select, result, options, opt;\n\tselect = this.getSelectDomNode();\n\tresult = [];\n\toptions = select && select.options;\n\tfor (var i=0; i<options.length; i++) {\n\t\topt = options[i];\n\t\tif (opt.selected) {\n\t\t\tresult.push(opt.value || opt.text);\n\t\t}\n\t}\n\treturn result;\n}\n\n/*\nCompute the internal state of the widget\n*/\nSelectWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.selectActions = this.getAttribute(\"actions\");\n\tthis.selectTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.selectField = this.getAttribute(\"field\",\"text\");\n\tthis.selectIndex = this.getAttribute(\"index\");\n\tthis.selectClass = this.getAttribute(\"class\");\n\tthis.selectDefault = this.getAttribute(\"default\");\n\tthis.selectMultiple = this.getAttribute(\"multiple\", false);\n\tthis.selectSize = this.getAttribute(\"size\");\n\tthis.selectTooltip = this.getAttribute(\"tooltip\");\n\t// Make the child widgets\n\tvar selectNode = {\n\t\ttype: \"element\",\n\t\ttag: \"select\",\n\t\tchildren: this.parseTreeNode.children\n\t};\n\tif(this.selectClass) {\n\t\t$tw.utils.addAttributeToParseTreeNode(selectNode,\"class\",this.selectClass);\n\t}\n\tif(this.selectMultiple) {\n\t\t$tw.utils.addAttributeToParseTreeNode(selectNode,\"multiple\",\"multiple\");\n\t}\n\tif(this.selectSize) {\n\t\t$tw.utils.addAttributeToParseTreeNode(selectNode,\"size\",this.selectSize);\n\t}\n\tif(this.selectTooltip) {\n\t\t$tw.utils.addAttributeToParseTreeNode(selectNode,\"title\",this.selectTooltip);\n\t}\n\tthis.makeChildWidgets([selectNode]);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nSelectWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\t// If we're using a different tiddler/field/index then completely refresh ourselves\n\tif(changedAttributes.selectTitle || changedAttributes.selectField || changedAttributes.selectIndex || changedAttributes.selectTooltip) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t// If the target tiddler value has changed, just update setting and refresh the children\n\t} else {\n\t\tvar childrenRefreshed = this.refreshChildren(changedTiddlers);\n\t\tif(changedTiddlers[this.selectTitle] || childrenRefreshed) {\n\t\t\tthis.setSelectValue();\n\t\t} \n\t\treturn childrenRefreshed;\n\t}\n};\n\nexports.select = SelectWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/set.js": {
"title": "$:/core/modules/widgets/set.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/set.js\ntype: application/javascript\nmodule-type: widget\n\nSet variable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar SetWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSetWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSetWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nSetWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.setName = this.getAttribute(\"name\",\"currentTiddler\");\n\tthis.setFilter = this.getAttribute(\"filter\");\n\tthis.setSelect = this.getAttribute(\"select\");\n\tthis.setTiddler = this.getAttribute(\"tiddler\");\n\tthis.setSubTiddler = this.getAttribute(\"subtiddler\");\n\tthis.setField = this.getAttribute(\"field\");\n\tthis.setIndex = this.getAttribute(\"index\");\n\tthis.setValue = this.getAttribute(\"value\");\n\tthis.setEmptyValue = this.getAttribute(\"emptyValue\");\n\t// Set context variable\n\tthis.setVariable(this.setName,this.getValue(),this.parseTreeNode.params,!!this.parseTreeNode.isMacroDefinition);\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nGet the value to be assigned\n*/\nSetWidget.prototype.getValue = function() {\n\tvar value = this.setValue;\n\tif(this.setTiddler) {\n\t\tvar tiddler;\n\t\tif(this.setSubTiddler) {\n\t\t\ttiddler = this.wiki.getSubTiddler(this.setTiddler,this.setSubTiddler);\n\t\t} else {\n\t\t\ttiddler = this.wiki.getTiddler(this.setTiddler);\t\t\t\n\t\t}\n\t\tif(!tiddler) {\n\t\t\tvalue = this.setEmptyValue;\n\t\t} else if(this.setField) {\n\t\t\tvalue = tiddler.getFieldString(this.setField) || this.setEmptyValue;\n\t\t} else if(this.setIndex) {\n\t\t\tvalue = this.wiki.extractTiddlerDataItem(this.setTiddler,this.setIndex,this.setEmptyValue);\n\t\t} else {\n\t\t\tvalue = tiddler.fields.text || this.setEmptyValue ;\n\t\t}\n\t} else if(this.setFilter) {\n\t\tvar results = this.wiki.filterTiddlers(this.setFilter,this);\n\t\tif(this.setValue == null) {\n\t\t\tvar select;\n\t\t\tif(this.setSelect) {\n\t\t\t\tselect = parseInt(this.setSelect,10);\n\t\t\t}\n\t\t\tif(select !== undefined) {\n\t\t\t\tvalue = results[select] || \"\";\n\t\t\t} else {\n\t\t\t\tvalue = $tw.utils.stringifyList(results);\t\t\t\n\t\t\t}\n\t\t}\n\t\tif(results.length === 0 && this.setEmptyValue !== undefined) {\n\t\t\tvalue = this.setEmptyValue;\n\t\t}\n\t} else if(!value && this.setEmptyValue) {\n\t\tvalue = this.setEmptyValue;\n\t}\n\treturn value || \"\";\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nSetWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.name || changedAttributes.filter || changedAttributes.select || changedAttributes.tiddler || (this.setTiddler && changedTiddlers[this.setTiddler]) || changedAttributes.field || changedAttributes.index || changedAttributes.value || changedAttributes.emptyValue ||\n\t (this.setFilter && this.getValue() != this.variables[this.setName].value)) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.setvariable = SetWidget;\nexports.set = SetWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/text.js": {
"title": "$:/core/modules/widgets/text.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/text.js\ntype: application/javascript\nmodule-type: widget\n\nText node widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar TextNodeWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nTextNodeWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nTextNodeWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar text = this.getAttribute(\"text\",this.parseTreeNode.text || \"\");\n\ttext = text.replace(/\\r/mg,\"\");\n\tvar textNode = this.document.createTextNode(text);\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nTextNodeWidget.prototype.execute = function() {\n\t// Nothing to do for a text node\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nTextNodeWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.text) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\n\t}\n};\n\nexports.text = TextNodeWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/tiddler.js": {
"title": "$:/core/modules/widgets/tiddler.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/tiddler.js\ntype: application/javascript\nmodule-type: widget\n\nTiddler widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar TiddlerWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nTiddlerWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nTiddlerWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nTiddlerWidget.prototype.execute = function() {\n\tthis.tiddlerState = this.computeTiddlerState();\n\tthis.setVariable(\"currentTiddler\",this.tiddlerState.currentTiddler);\n\tthis.setVariable(\"missingTiddlerClass\",this.tiddlerState.missingTiddlerClass);\n\tthis.setVariable(\"shadowTiddlerClass\",this.tiddlerState.shadowTiddlerClass);\n\tthis.setVariable(\"systemTiddlerClass\",this.tiddlerState.systemTiddlerClass);\n\tthis.setVariable(\"tiddlerTagClasses\",this.tiddlerState.tiddlerTagClasses);\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nCompute the tiddler state flags\n*/\nTiddlerWidget.prototype.computeTiddlerState = function() {\n\t// Get our parameters\n\tthis.tiddlerTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\t// Compute the state\n\tvar state = {\n\t\tcurrentTiddler: this.tiddlerTitle || \"\",\n\t\tmissingTiddlerClass: (this.wiki.tiddlerExists(this.tiddlerTitle) || this.wiki.isShadowTiddler(this.tiddlerTitle)) ? \"tc-tiddler-exists\" : \"tc-tiddler-missing\",\n\t\tshadowTiddlerClass: this.wiki.isShadowTiddler(this.tiddlerTitle) ? \"tc-tiddler-shadow\" : \"\",\n\t\tsystemTiddlerClass: this.wiki.isSystemTiddler(this.tiddlerTitle) ? \"tc-tiddler-system\" : \"\",\n\t\ttiddlerTagClasses: this.getTagClasses()\n\t};\n\t// Compute a simple hash to make it easier to detect changes\n\tstate.hash = state.currentTiddler + state.missingTiddlerClass + state.shadowTiddlerClass + state.systemTiddlerClass + state.tiddlerTagClasses;\n\treturn state;\n};\n\n/*\nCreate a string of CSS classes derived from the tags of the current tiddler\n*/\nTiddlerWidget.prototype.getTagClasses = function() {\n\tvar tiddler = this.wiki.getTiddler(this.tiddlerTitle);\n\tif(tiddler) {\n\t\tvar tags = [];\n\t\t$tw.utils.each(tiddler.fields.tags,function(tag) {\n\t\t\ttags.push(\"tc-tagged-\" + encodeURIComponent(tag));\n\t\t});\n\t\treturn tags.join(\" \");\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nTiddlerWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes(),\n\t\tnewTiddlerState = this.computeTiddlerState();\n\tif(changedAttributes.tiddler || newTiddlerState.hash !== this.tiddlerState.hash) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\nexports.tiddler = TiddlerWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/transclude.js": {
"title": "$:/core/modules/widgets/transclude.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/transclude.js\ntype: application/javascript\nmodule-type: widget\n\nTransclude widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar TranscludeWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nTranscludeWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nTranscludeWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nTranscludeWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.transcludeTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.transcludeSubTiddler = this.getAttribute(\"subtiddler\");\n\tthis.transcludeField = this.getAttribute(\"field\");\n\tthis.transcludeIndex = this.getAttribute(\"index\");\n\tthis.transcludeMode = this.getAttribute(\"mode\");\n\t// Parse the text reference\n\tvar parseAsInline = !this.parseTreeNode.isBlock;\n\tif(this.transcludeMode === \"inline\") {\n\t\tparseAsInline = true;\n\t} else if(this.transcludeMode === \"block\") {\n\t\tparseAsInline = false;\n\t}\n\tvar parser = this.wiki.parseTextReference(\n\t\t\t\t\t\tthis.transcludeTitle,\n\t\t\t\t\t\tthis.transcludeField,\n\t\t\t\t\t\tthis.transcludeIndex,\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\tparseAsInline: parseAsInline,\n\t\t\t\t\t\t\tsubTiddler: this.transcludeSubTiddler\n\t\t\t\t\t\t}),\n\t\tparseTreeNodes = parser ? parser.tree : this.parseTreeNode.children;\n\t// Set context variables for recursion detection\n\tvar recursionMarker = this.makeRecursionMarker();\n\tthis.setVariable(\"transclusion\",recursionMarker);\n\t// Check for recursion\n\tif(parser) {\n\t\tif(this.parentWidget && this.parentWidget.hasVariable(\"transclusion\",recursionMarker)) {\n\t\t\tparseTreeNodes = [{type: \"element\", tag: \"span\", attributes: {\n\t\t\t\t\"class\": {type: \"string\", value: \"tc-error\"}\n\t\t\t}, children: [\n\t\t\t\t{type: \"text\", text: $tw.language.getString(\"Error/RecursiveTransclusion\")}\n\t\t\t]}];\n\t\t}\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets(parseTreeNodes);\n};\n\n/*\nCompose a string comprising the title, field and/or index to identify this transclusion for recursion detection\n*/\nTranscludeWidget.prototype.makeRecursionMarker = function() {\n\tvar output = [];\n\toutput.push(\"{\");\n\toutput.push(this.getVariable(\"currentTiddler\",{defaultValue: \"\"}));\n\toutput.push(\"|\");\n\toutput.push(this.transcludeTitle || \"\");\n\toutput.push(\"|\");\n\toutput.push(this.transcludeField || \"\");\n\toutput.push(\"|\");\n\toutput.push(this.transcludeIndex || \"\");\n\toutput.push(\"|\");\n\toutput.push(this.transcludeSubTiddler || \"\");\n\toutput.push(\"}\");\n\treturn output.join(\"\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nTranscludeWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedTiddlers[this.transcludeTitle]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\nexports.transclude = TranscludeWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/vars.js": {
"title": "$:/core/modules/widgets/vars.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/vars.js\ntype: application/javascript\nmodule-type: widget\n\nThis widget allows multiple variables to be set in one go:\n\n```\n\\define helloworld() Hello world!\n<$vars greeting=\"Hi\" me={{!!title}} sentence=<<helloworld>>>\n <<greeting>>! I am <<me>> and I say: <<sentence>>\n</$vars>\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar VarsWidget = function(parseTreeNode,options) {\n\t// Call the constructor\n\tWidget.call(this);\n\t// Initialise\t\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nVarsWidget.prototype = Object.create(Widget.prototype);\n\n/*\nRender this widget into the DOM\n*/\nVarsWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nVarsWidget.prototype.execute = function() {\n\t// Parse variables\n\tvar self = this;\n\t$tw.utils.each(this.attributes,function(val,key) {\n\t\tif(key.charAt(0) !== \"$\") {\n\t\t\tself.setVariable(key,val);\n\t\t}\n\t});\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nVarsWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(Object.keys(changedAttributes).length) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports[\"vars\"] = VarsWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/view.js": {
"title": "$:/core/modules/widgets/view.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/view.js\ntype: application/javascript\nmodule-type: widget\n\nView widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ViewWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nViewWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nViewWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tif(this.text) {\n\t\tvar textNode = this.document.createTextNode(this.text);\n\t\tparent.insertBefore(textNode,nextSibling);\n\t\tthis.domNodes.push(textNode);\n\t} else {\n\t\tthis.makeChildWidgets();\n\t\tthis.renderChildren(parent,nextSibling);\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nViewWidget.prototype.execute = function() {\n\t// Get parameters from our attributes\n\tthis.viewTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.viewSubtiddler = this.getAttribute(\"subtiddler\");\n\tthis.viewField = this.getAttribute(\"field\",\"text\");\n\tthis.viewIndex = this.getAttribute(\"index\");\n\tthis.viewFormat = this.getAttribute(\"format\",\"text\");\n\tthis.viewTemplate = this.getAttribute(\"template\",\"\");\n\tthis.viewMode = this.getAttribute(\"mode\",\"block\");\n\tswitch(this.viewFormat) {\n\t\tcase \"htmlwikified\":\n\t\t\tthis.text = this.getValueAsHtmlWikified(this.viewMode);\n\t\t\tbreak;\n\t\tcase \"plainwikified\":\n\t\t\tthis.text = this.getValueAsPlainWikified(this.viewMode);\n\t\t\tbreak;\n\t\tcase \"htmlencodedplainwikified\":\n\t\t\tthis.text = this.getValueAsHtmlEncodedPlainWikified(this.viewMode);\n\t\t\tbreak;\n\t\tcase \"htmlencoded\":\n\t\t\tthis.text = this.getValueAsHtmlEncoded();\n\t\t\tbreak;\n\t\tcase \"urlencoded\":\n\t\t\tthis.text = this.getValueAsUrlEncoded();\n\t\t\tbreak;\n\t\tcase \"doubleurlencoded\":\n\t\t\tthis.text = this.getValueAsDoubleUrlEncoded();\n\t\t\tbreak;\n\t\tcase \"date\":\n\t\t\tthis.text = this.getValueAsDate(this.viewTemplate);\n\t\t\tbreak;\n\t\tcase \"relativedate\":\n\t\t\tthis.text = this.getValueAsRelativeDate();\n\t\t\tbreak;\n\t\tcase \"stripcomments\":\n\t\t\tthis.text = this.getValueAsStrippedComments();\n\t\t\tbreak;\n\t\tcase \"jsencoded\":\n\t\t\tthis.text = this.getValueAsJsEncoded();\n\t\t\tbreak;\n\t\tdefault: // \"text\"\n\t\t\tthis.text = this.getValueAsText();\n\t\t\tbreak;\n\t}\n};\n\n/*\nThe various formatter functions are baked into this widget for the moment. Eventually they will be replaced by macro functions\n*/\n\n/*\nRetrieve the value of the widget. Options are:\nasString: Optionally return the value as a string\n*/\nViewWidget.prototype.getValue = function(options) {\n\toptions = options || {};\n\tvar value = options.asString ? \"\" : undefined;\n\tif(this.viewIndex) {\n\t\tvalue = this.wiki.extractTiddlerDataItem(this.viewTitle,this.viewIndex);\n\t} else {\n\t\tvar tiddler;\n\t\tif(this.viewSubtiddler) {\n\t\t\ttiddler = this.wiki.getSubTiddler(this.viewTitle,this.viewSubtiddler);\t\n\t\t} else {\n\t\t\ttiddler = this.wiki.getTiddler(this.viewTitle);\n\t\t}\n\t\tif(tiddler) {\n\t\t\tif(this.viewField === \"text\" && !this.viewSubtiddler) {\n\t\t\t\t// Calling getTiddlerText() triggers lazy loading of skinny tiddlers\n\t\t\t\tvalue = this.wiki.getTiddlerText(this.viewTitle);\n\t\t\t} else {\n\t\t\t\tif($tw.utils.hop(tiddler.fields,this.viewField)) {\n\t\t\t\t\tif(options.asString) {\n\t\t\t\t\t\tvalue = tiddler.getFieldString(this.viewField);\n\t\t\t\t\t} else {\n\t\t\t\t\t\tvalue = tiddler.fields[this.viewField];\t\t\t\t\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tif(this.viewField === \"title\") {\n\t\t\t\tvalue = this.viewTitle;\n\t\t\t}\n\t\t}\n\t}\n\treturn value;\n};\n\nViewWidget.prototype.getValueAsText = function() {\n\treturn this.getValue({asString: true});\n};\n\nViewWidget.prototype.getValueAsHtmlWikified = function(mode) {\n\treturn this.wiki.renderText(\"text/html\",\"text/vnd.tiddlywiki\",this.getValueAsText(),{\n\t\tparseAsInline: mode !== \"block\",\n\t\tparentWidget: this\n\t});\n};\n\nViewWidget.prototype.getValueAsPlainWikified = function(mode) {\n\treturn this.wiki.renderText(\"text/plain\",\"text/vnd.tiddlywiki\",this.getValueAsText(),{\n\t\tparseAsInline: mode !== \"block\",\n\t\tparentWidget: this\n\t});\n};\n\nViewWidget.prototype.getValueAsHtmlEncodedPlainWikified = function(mode) {\n\treturn $tw.utils.htmlEncode(this.wiki.renderText(\"text/plain\",\"text/vnd.tiddlywiki\",this.getValueAsText(),{\n\t\tparseAsInline: mode !== \"block\",\n\t\tparentWidget: this\n\t}));\n};\n\nViewWidget.prototype.getValueAsHtmlEncoded = function() {\n\treturn $tw.utils.htmlEncode(this.getValueAsText());\n};\n\nViewWidget.prototype.getValueAsUrlEncoded = function() {\n\treturn encodeURIComponent(this.getValueAsText());\n};\n\nViewWidget.prototype.getValueAsDoubleUrlEncoded = function() {\n\treturn encodeURIComponent(encodeURIComponent(this.getValueAsText()));\n};\n\nViewWidget.prototype.getValueAsDate = function(format) {\n\tformat = format || \"YYYY MM DD 0hh:0mm\";\n\tvar value = $tw.utils.parseDate(this.getValue());\n\tif(value && $tw.utils.isDate(value) && value.toString() !== \"Invalid Date\") {\n\t\treturn $tw.utils.formatDateString(value,format);\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\nViewWidget.prototype.getValueAsRelativeDate = function(format) {\n\tvar value = $tw.utils.parseDate(this.getValue());\n\tif(value && $tw.utils.isDate(value) && value.toString() !== \"Invalid Date\") {\n\t\treturn $tw.utils.getRelativeDate((new Date()) - (new Date(value))).description;\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\nViewWidget.prototype.getValueAsStrippedComments = function() {\n\tvar lines = this.getValueAsText().split(\"\\n\"),\n\t\tout = [];\n\tfor(var line=0; line<lines.length; line++) {\n\t\tvar text = lines[line];\n\t\tif(!/^\\s*\\/\\/#/.test(text)) {\n\t\t\tout.push(text);\n\t\t}\n\t}\n\treturn out.join(\"\\n\");\n};\n\nViewWidget.prototype.getValueAsJsEncoded = function() {\n\treturn $tw.utils.stringify(this.getValueAsText());\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nViewWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes.template || changedAttributes.format || changedTiddlers[this.viewTitle]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\n\t}\n};\n\nexports.view = ViewWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/widget.js": {
"title": "$:/core/modules/widgets/widget.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/widget.js\ntype: application/javascript\nmodule-type: widget\n\nWidget base class\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nCreate a widget object for a parse tree node\n\tparseTreeNode: reference to the parse tree node to be rendered\n\toptions: see below\nOptions include:\n\twiki: mandatory reference to wiki associated with this render tree\n\tparentWidget: optional reference to a parent renderer node for the context chain\n\tdocument: optional document object to use instead of global document\n*/\nvar Widget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInitialise widget properties. These steps are pulled out of the constructor so that we can reuse them in subclasses\n*/\nWidget.prototype.initialise = function(parseTreeNode,options) {\n\t// Bail if parseTreeNode is undefined, meaning that the widget constructor was called without any arguments so that it can be subclassed\n\tif(parseTreeNode === undefined) {\n\t\treturn;\n\t}\n\toptions = options || {};\n\t// Save widget info\n\tthis.parseTreeNode = parseTreeNode;\n\tthis.wiki = options.wiki;\n\tthis.parentWidget = options.parentWidget;\n\tthis.variablesConstructor = function() {};\n\tthis.variablesConstructor.prototype = this.parentWidget ? this.parentWidget.variables : {};\n\tthis.variables = new this.variablesConstructor();\n\tthis.document = options.document;\n\tthis.attributes = {};\n\tthis.children = [];\n\tthis.domNodes = [];\n\tthis.eventListeners = {};\n\t// Hashmap of the widget classes\n\tif(!this.widgetClasses) {\n\t\t// Get widget classes\n\t\tWidget.prototype.widgetClasses = $tw.modules.applyMethods(\"widget\");\n\t\t// Process any subclasses\n\t\t$tw.modules.forEachModuleOfType(\"widget-subclass\",function(title,module) {\n\t\t\tif(module.baseClass) {\n\t\t\t\tvar baseClass = Widget.prototype.widgetClasses[module.baseClass];\n\t\t\t\tif(!baseClass) {\n\t\t\t\t\tthrow \"Module '\" + title + \"' is attemping to extend a non-existent base class '\" + module.baseClass + \"'\";\n\t\t\t\t}\n\t\t\t\tvar subClass = module.constructor;\n\t\t\t\tsubClass.prototype = new baseClass();\n\t\t\t\t$tw.utils.extend(subClass.prototype,module.prototype);\n\t\t\t\tWidget.prototype.widgetClasses[module.name || module.baseClass] = subClass;\n\t\t\t}\n\t\t});\n\t}\n};\n\n/*\nRender this widget into the DOM\n*/\nWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nWidget.prototype.execute = function() {\n\tthis.makeChildWidgets();\n};\n\n/*\nSet the value of a context variable\nname: name of the variable\nvalue: value of the variable\nparams: array of {name:, default:} for each parameter\nisMacroDefinition: true if the variable is set via a \\define macro pragma (and hence should have variable substitution performed)\n*/\nWidget.prototype.setVariable = function(name,value,params,isMacroDefinition) {\n\tthis.variables[name] = {value: value, params: params, isMacroDefinition: !!isMacroDefinition};\n};\n\n/*\nGet the prevailing value of a context variable\nname: name of variable\noptions: see below\nOptions include\nparams: array of {name:, value:} for each parameter\ndefaultValue: default value if the variable is not defined\n\nReturns an object with the following fields:\n\nparams: array of {name:,value:} of parameters passed to wikitext variables\ntext: text of variable, with parameters properly substituted\n*/\nWidget.prototype.getVariableInfo = function(name,options) {\n\toptions = options || {};\n\tvar actualParams = options.params || [],\n\t\tparentWidget = this.parentWidget;\n\t// Check for the variable defined in the parent widget (or an ancestor in the prototype chain)\n\tif(parentWidget && name in parentWidget.variables) {\n\t\tvar variable = parentWidget.variables[name],\n\t\t\tvalue = variable.value,\n\t\t\tparams = this.resolveVariableParameters(variable.params,actualParams);\n\t\t// Substitute any parameters specified in the definition\n\t\t$tw.utils.each(params,function(param) {\n\t\t\tvalue = $tw.utils.replaceString(value,new RegExp(\"\\\\$\" + $tw.utils.escapeRegExp(param.name) + \"\\\\$\",\"mg\"),param.value);\n\t\t});\n\t\t// Only substitute variable references if this variable was defined with the \\define pragma\n\t\tif(variable.isMacroDefinition) {\n\t\t\tvalue = this.substituteVariableReferences(value);\t\t\t\n\t\t}\n\t\treturn {\n\t\t\ttext: value,\n\t\t\tparams: params\n\t\t};\n\t}\n\t// If the variable doesn't exist in the parent widget then look for a macro module\n\treturn {\n\t\ttext: this.evaluateMacroModule(name,actualParams,options.defaultValue)\n\t};\n};\n\n/*\nSimplified version of getVariableInfo() that just returns the text\n*/\nWidget.prototype.getVariable = function(name,options) {\n\treturn this.getVariableInfo(name,options).text;\n};\n\nWidget.prototype.resolveVariableParameters = function(formalParams,actualParams) {\n\tformalParams = formalParams || [];\n\tactualParams = actualParams || [];\n\tvar nextAnonParameter = 0, // Next candidate anonymous parameter in macro call\n\t\tparamInfo, paramValue,\n\t\tresults = [];\n\t// Step through each of the parameters in the macro definition\n\tfor(var p=0; p<formalParams.length; p++) {\n\t\t// Check if we've got a macro call parameter with the same name\n\t\tparamInfo = formalParams[p];\n\t\tparamValue = undefined;\n\t\tfor(var m=0; m<actualParams.length; m++) {\n\t\t\tif(actualParams[m].name === paramInfo.name) {\n\t\t\t\tparamValue = actualParams[m].value;\n\t\t\t}\n\t\t}\n\t\t// If not, use the next available anonymous macro call parameter\n\t\twhile(nextAnonParameter < actualParams.length && actualParams[nextAnonParameter].name) {\n\t\t\tnextAnonParameter++;\n\t\t}\n\t\tif(paramValue === undefined && nextAnonParameter < actualParams.length) {\n\t\t\tparamValue = actualParams[nextAnonParameter++].value;\n\t\t}\n\t\t// If we've still not got a value, use the default, if any\n\t\tparamValue = paramValue || paramInfo[\"default\"] || \"\";\n\t\t// Store the parameter name and value\n\t\tresults.push({name: paramInfo.name, value: paramValue});\n\t}\n\treturn results;\n};\n\nWidget.prototype.substituteVariableReferences = function(text) {\n\tvar self = this;\n\treturn (text || \"\").replace(/\\$\\(([^\\)\\$]+)\\)\\$/g,function(match,p1,offset,string) {\n\t\treturn self.getVariable(p1,{defaultValue: \"\"});\n\t});\n};\n\nWidget.prototype.evaluateMacroModule = function(name,actualParams,defaultValue) {\n\tif($tw.utils.hop($tw.macros,name)) {\n\t\tvar macro = $tw.macros[name],\n\t\t\targs = [];\n\t\tif(macro.params.length > 0) {\n\t\t\tvar nextAnonParameter = 0, // Next candidate anonymous parameter in macro call\n\t\t\t\tparamInfo, paramValue;\n\t\t\t// Step through each of the parameters in the macro definition\n\t\t\tfor(var p=0; p<macro.params.length; p++) {\n\t\t\t\t// Check if we've got a macro call parameter with the same name\n\t\t\t\tparamInfo = macro.params[p];\n\t\t\t\tparamValue = undefined;\n\t\t\t\tfor(var m=0; m<actualParams.length; m++) {\n\t\t\t\t\tif(actualParams[m].name === paramInfo.name) {\n\t\t\t\t\t\tparamValue = actualParams[m].value;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t// If not, use the next available anonymous macro call parameter\n\t\t\t\twhile(nextAnonParameter < actualParams.length && actualParams[nextAnonParameter].name) {\n\t\t\t\t\tnextAnonParameter++;\n\t\t\t\t}\n\t\t\t\tif(paramValue === undefined && nextAnonParameter < actualParams.length) {\n\t\t\t\t\tparamValue = actualParams[nextAnonParameter++].value;\n\t\t\t\t}\n\t\t\t\t// If we've still not got a value, use the default, if any\n\t\t\t\tparamValue = paramValue || paramInfo[\"default\"] || \"\";\n\t\t\t\t// Save the parameter\n\t\t\t\targs.push(paramValue);\n\t\t\t}\n\t\t}\n\t\telse for(var i=0; i<actualParams.length; ++i) {\n\t\t\targs.push(actualParams[i].value);\n\t\t}\n\t\treturn (macro.run.apply(this,args) || \"\").toString();\n\t} else {\n\t\treturn defaultValue;\n\t}\n};\n\n/*\nCheck whether a given context variable value exists in the parent chain\n*/\nWidget.prototype.hasVariable = function(name,value) {\n\tvar node = this;\n\twhile(node) {\n\t\tif($tw.utils.hop(node.variables,name) && node.variables[name].value === value) {\n\t\t\treturn true;\n\t\t}\n\t\tnode = node.parentWidget;\n\t}\n\treturn false;\n};\n\n/*\nConstruct a qualifying string based on a hash of concatenating the values of a given variable in the parent chain\n*/\nWidget.prototype.getStateQualifier = function(name) {\n\tthis.qualifiers = this.qualifiers || Object.create(null);\n\tname = name || \"transclusion\";\n\tif(this.qualifiers[name]) {\n\t\treturn this.qualifiers[name];\n\t} else {\n\t\tvar output = [],\n\t\t\tnode = this;\n\t\twhile(node && node.parentWidget) {\n\t\t\tif($tw.utils.hop(node.parentWidget.variables,name)) {\n\t\t\t\toutput.push(node.getVariable(name));\n\t\t\t}\n\t\t\tnode = node.parentWidget;\n\t\t}\n\t\tvar value = $tw.utils.hashString(output.join(\"\"));\n\t\tthis.qualifiers[name] = value;\n\t\treturn value;\n\t}\n};\n\n/*\nCompute the current values of the attributes of the widget. Returns a hashmap of the names of the attributes that have changed\n*/\nWidget.prototype.computeAttributes = function() {\n\tvar changedAttributes = {},\n\t\tself = this,\n\t\tvalue;\n\t$tw.utils.each(this.parseTreeNode.attributes,function(attribute,name) {\n\t\tif(attribute.type === \"filtered\") {\n\t\t\tvalue = self.wiki.filterTiddlers(attribute.filter,self)[0] || \"\";\n\t\t} else if(attribute.type === \"indirect\") {\n\t\t\tvalue = self.wiki.getTextReference(attribute.textReference,\"\",self.getVariable(\"currentTiddler\"));\n\t\t} else if(attribute.type === \"macro\") {\n\t\t\tvalue = self.getVariable(attribute.value.name,{params: attribute.value.params});\n\t\t} else { // String attribute\n\t\t\tvalue = attribute.value;\n\t\t}\n\t\t// Check whether the attribute has changed\n\t\tif(self.attributes[name] !== value) {\n\t\t\tself.attributes[name] = value;\n\t\t\tchangedAttributes[name] = true;\n\t\t}\n\t});\n\treturn changedAttributes;\n};\n\n/*\nCheck for the presence of an attribute\n*/\nWidget.prototype.hasAttribute = function(name) {\n\treturn $tw.utils.hop(this.attributes,name);\n};\n\n/*\nGet the value of an attribute\n*/\nWidget.prototype.getAttribute = function(name,defaultText) {\n\tif($tw.utils.hop(this.attributes,name)) {\n\t\treturn this.attributes[name];\n\t} else {\n\t\treturn defaultText;\n\t}\n};\n\n/*\nAssign the computed attributes of the widget to a domNode\noptions include:\nexcludeEventAttributes: ignores attributes whose name begins with \"on\"\n*/\nWidget.prototype.assignAttributes = function(domNode,options) {\n\toptions = options || {};\n\tvar self = this;\n\t$tw.utils.each(this.attributes,function(v,a) {\n\t\t// Check exclusions\n\t\tif(options.excludeEventAttributes && a.substr(0,2) === \"on\") {\n\t\t\tv = undefined;\n\t\t}\n\t\tif(v !== undefined) {\n\t\t\tvar b = a.split(\":\");\n\t\t\t// Setting certain attributes can cause a DOM error (eg xmlns on the svg element)\n\t\t\ttry {\n\t\t\t\tif (b.length == 2 && b[0] == \"xlink\"){\n\t\t\t\t\tdomNode.setAttributeNS(\"http://www.w3.org/1999/xlink\",b[1],v);\n\t\t\t\t} else {\n\t\t\t\t\tdomNode.setAttributeNS(null,a,v);\n\t\t\t\t}\n\t\t\t} catch(e) {\n\t\t\t}\n\t\t}\n\t});\n};\n\n/*\nMake child widgets correspondng to specified parseTreeNodes\n*/\nWidget.prototype.makeChildWidgets = function(parseTreeNodes) {\n\tthis.children = [];\n\tvar self = this;\n\t$tw.utils.each(parseTreeNodes || (this.parseTreeNode && this.parseTreeNode.children),function(childNode) {\n\t\tself.children.push(self.makeChildWidget(childNode));\n\t});\n};\n\n/*\nConstruct the widget object for a parse tree node\n*/\nWidget.prototype.makeChildWidget = function(parseTreeNode) {\n\tvar WidgetClass = this.widgetClasses[parseTreeNode.type];\n\tif(!WidgetClass) {\n\t\tWidgetClass = this.widgetClasses.text;\n\t\tparseTreeNode = {type: \"text\", text: \"Undefined widget '\" + parseTreeNode.type + \"'\"};\n\t}\n\treturn new WidgetClass(parseTreeNode,{\n\t\twiki: this.wiki,\n\t\tvariables: {},\n\t\tparentWidget: this,\n\t\tdocument: this.document\n\t});\n};\n\n/*\nGet the next sibling of this widget\n*/\nWidget.prototype.nextSibling = function() {\n\tif(this.parentWidget) {\n\t\tvar index = this.parentWidget.children.indexOf(this);\n\t\tif(index !== -1 && index < this.parentWidget.children.length-1) {\n\t\t\treturn this.parentWidget.children[index+1];\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nGet the previous sibling of this widget\n*/\nWidget.prototype.previousSibling = function() {\n\tif(this.parentWidget) {\n\t\tvar index = this.parentWidget.children.indexOf(this);\n\t\tif(index !== -1 && index > 0) {\n\t\t\treturn this.parentWidget.children[index-1];\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nRender the children of this widget into the DOM\n*/\nWidget.prototype.renderChildren = function(parent,nextSibling) {\n\tvar children = this.children;\n\tfor(var i = 0; i < children.length; i++) {\n\t\tchildren[i].render(parent,nextSibling);\n\t};\n};\n\n/*\nAdd a list of event listeners from an array [{type:,handler:},...]\n*/\nWidget.prototype.addEventListeners = function(listeners) {\n\tvar self = this;\n\t$tw.utils.each(listeners,function(listenerInfo) {\n\t\tself.addEventListener(listenerInfo.type,listenerInfo.handler);\n\t});\n};\n\n/*\nAdd an event listener\n*/\nWidget.prototype.addEventListener = function(type,handler) {\n\tvar self = this;\n\tif(typeof handler === \"string\") { // The handler is a method name on this widget\n\t\tthis.eventListeners[type] = function(event) {\n\t\t\treturn self[handler].call(self,event);\n\t\t};\n\t} else { // The handler is a function\n\t\tthis.eventListeners[type] = function(event) {\n\t\t\treturn handler.call(self,event);\n\t\t};\n\t}\n};\n\n/*\nDispatch an event to a widget. If the widget doesn't handle the event then it is also dispatched to the parent widget\n*/\nWidget.prototype.dispatchEvent = function(event) {\n\t// Dispatch the event if this widget handles it\n\tvar listener = this.eventListeners[event.type];\n\tif(listener) {\n\t\t// Don't propagate the event if the listener returned false\n\t\tif(!listener(event)) {\n\t\t\treturn false;\n\t\t}\n\t}\n\t// Dispatch the event to the parent widget\n\tif(this.parentWidget) {\n\t\treturn this.parentWidget.dispatchEvent(event);\n\t}\n\treturn true;\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nWidget.prototype.refresh = function(changedTiddlers) {\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nRebuild a previously rendered widget\n*/\nWidget.prototype.refreshSelf = function() {\n\tvar nextSibling = this.findNextSiblingDomNode();\n\tthis.removeChildDomNodes();\n\tthis.render(this.parentDomNode,nextSibling);\n};\n\n/*\nRefresh all the children of a widget\n*/\nWidget.prototype.refreshChildren = function(changedTiddlers) {\n\tvar children = this.children,\n\t\trefreshed = false;\n\tfor (var i = 0; i < children.length; i++) {\n\t\trefreshed = children[i].refresh(changedTiddlers) || refreshed;\n\t}\n\treturn refreshed;\n};\n\n/*\nFind the next sibling in the DOM to this widget. This is done by scanning the widget tree through all next siblings and their descendents that share the same parent DOM node\n*/\nWidget.prototype.findNextSiblingDomNode = function(startIndex) {\n\t// Refer to this widget by its index within its parents children\n\tvar parent = this.parentWidget,\n\t\tindex = startIndex !== undefined ? startIndex : parent.children.indexOf(this);\nif(index === -1) {\n\tthrow \"node not found in parents children\";\n}\n\t// Look for a DOM node in the later siblings\n\twhile(++index < parent.children.length) {\n\t\tvar domNode = parent.children[index].findFirstDomNode();\n\t\tif(domNode) {\n\t\t\treturn domNode;\n\t\t}\n\t}\n\t// Go back and look for later siblings of our parent if it has the same parent dom node\n\tvar grandParent = parent.parentWidget;\n\tif(grandParent && parent.parentDomNode === this.parentDomNode) {\n\t\tindex = grandParent.children.indexOf(parent);\n\t\tif(index !== -1) {\n\t\t\treturn parent.findNextSiblingDomNode(index);\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nFind the first DOM node generated by a widget or its children\n*/\nWidget.prototype.findFirstDomNode = function() {\n\t// Return the first dom node of this widget, if we've got one\n\tif(this.domNodes.length > 0) {\n\t\treturn this.domNodes[0];\n\t}\n\t// Otherwise, recursively call our children\n\tfor(var t=0; t<this.children.length; t++) {\n\t\tvar domNode = this.children[t].findFirstDomNode();\n\t\tif(domNode) {\n\t\t\treturn domNode;\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nRemove any DOM nodes created by this widget or its children\n*/\nWidget.prototype.removeChildDomNodes = function() {\n\t// If this widget has directly created DOM nodes, delete them and exit. This assumes that any child widgets are contained within the created DOM nodes, which would normally be the case\n\tif(this.domNodes.length > 0) {\n\t\t$tw.utils.each(this.domNodes,function(domNode) {\n\t\t\tdomNode.parentNode.removeChild(domNode);\n\t\t});\n\t\tthis.domNodes = [];\n\t} else {\n\t\t// Otherwise, ask the child widgets to delete their DOM nodes\n\t\t$tw.utils.each(this.children,function(childWidget) {\n\t\t\tchildWidget.removeChildDomNodes();\n\t\t});\n\t}\n};\n\n/*\nInvoke the action widgets that are descendents of the current widget.\n*/\nWidget.prototype.invokeActions = function(triggeringWidget,event) {\n\tvar handled = false;\n\t// For each child widget\n\tfor(var t=0; t<this.children.length; t++) {\n\t\tvar child = this.children[t];\n\t\t// Invoke the child if it is an action widget\n\t\tif(child.invokeAction) {\n\t\t\tchild.refreshSelf();\n\t\t\tif(child.invokeAction(triggeringWidget,event)) {\n\t\t\t\thandled = true;\n\t\t\t}\n\t\t}\n\t\t// Propagate through through the child if it permits it\n\t\tif(child.allowActionPropagation() && child.invokeActions(triggeringWidget,event)) {\n\t\t\thandled = true;\n\t\t}\n\t}\n\treturn handled;\n};\n\n/*\nInvoke the action widgets defined in a string\n*/\nWidget.prototype.invokeActionString = function(actions,triggeringWidget,event,variables) {\n\tactions = actions || \"\";\n\tvar parser = this.wiki.parseText(\"text/vnd.tiddlywiki\",actions,{\n\t\t\tparentWidget: this,\n\t\t\tdocument: this.document\n\t\t}),\n\t\twidgetNode = this.wiki.makeWidget(parser,{\n\t\t\tparentWidget: this,\n\t\t\tdocument: this.document,\n\t\t\tvariables: variables\n\t\t});\n\tvar container = this.document.createElement(\"div\");\n\twidgetNode.render(container,null);\n\treturn widgetNode.invokeActions(this,event);\n};\n\nWidget.prototype.allowActionPropagation = function() {\n\treturn true;\n};\n\nexports.widget = Widget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/wikify.js": {
"title": "$:/core/modules/widgets/wikify.js",
"text": "/*\\\ntitle: $:/core/modules/widgets/wikify.js\ntype: application/javascript\nmodule-type: widget\n\nWidget to wikify text into a variable\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar WikifyWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nWikifyWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nWikifyWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nWikifyWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.wikifyName = this.getAttribute(\"name\");\n\tthis.wikifyText = this.getAttribute(\"text\");\n\tthis.wikifyType = this.getAttribute(\"type\");\n\tthis.wikifyMode = this.getAttribute(\"mode\",\"block\");\n\tthis.wikifyOutput = this.getAttribute(\"output\",\"text\");\n\t// Create the parse tree\n\tthis.wikifyParser = this.wiki.parseText(this.wikifyType,this.wikifyText,{\n\t\t\tparseAsInline: this.wikifyMode === \"inline\"\n\t\t});\n\t// Create the widget tree \n\tthis.wikifyWidgetNode = this.wiki.makeWidget(this.wikifyParser,{\n\t\t\tdocument: $tw.fakeDocument,\n\t\t\tparentWidget: this\n\t\t});\n\t// Render the widget tree to the container\n\tthis.wikifyContainer = $tw.fakeDocument.createElement(\"div\");\n\tthis.wikifyWidgetNode.render(this.wikifyContainer,null);\n\tthis.wikifyResult = this.getResult();\n\t// Set context variable\n\tthis.setVariable(this.wikifyName,this.wikifyResult);\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nReturn the result string\n*/\nWikifyWidget.prototype.getResult = function() {\n\tvar result;\n\tswitch(this.wikifyOutput) {\n\t\tcase \"text\":\n\t\t\tresult = this.wikifyContainer.textContent;\n\t\t\tbreak;\n\t\tcase \"formattedtext\":\n\t\t\tresult = this.wikifyContainer.formattedTextContent;\n\t\t\tbreak;\n\t\tcase \"html\":\n\t\t\tresult = this.wikifyContainer.innerHTML;\n\t\t\tbreak;\n\t\tcase \"parsetree\":\n\t\t\tresult = JSON.stringify(this.wikifyParser.tree,0,$tw.config.preferences.jsonSpaces);\n\t\t\tbreak;\n\t\tcase \"widgettree\":\n\t\t\tresult = JSON.stringify(this.getWidgetTree(),0,$tw.config.preferences.jsonSpaces);\n\t\t\tbreak;\n\t}\n\treturn result;\n};\n\n/*\nReturn a string of the widget tree\n*/\nWikifyWidget.prototype.getWidgetTree = function() {\n\tvar copyNode = function(widgetNode,resultNode) {\n\t\t\tvar type = widgetNode.parseTreeNode.type;\n\t\t\tresultNode.type = type;\n\t\t\tswitch(type) {\n\t\t\t\tcase \"element\":\n\t\t\t\t\tresultNode.tag = widgetNode.parseTreeNode.tag;\n\t\t\t\t\tbreak;\n\t\t\t\tcase \"text\":\n\t\t\t\t\tresultNode.text = widgetNode.parseTreeNode.text;\n\t\t\t\t\tbreak;\t\n\t\t\t}\n\t\t\tif(Object.keys(widgetNode.attributes || {}).length > 0) {\n\t\t\t\tresultNode.attributes = {};\n\t\t\t\t$tw.utils.each(widgetNode.attributes,function(attr,attrName) {\n\t\t\t\t\tresultNode.attributes[attrName] = widgetNode.getAttribute(attrName);\n\t\t\t\t});\n\t\t\t}\n\t\t\tif(Object.keys(widgetNode.children || {}).length > 0) {\n\t\t\t\tresultNode.children = [];\n\t\t\t\t$tw.utils.each(widgetNode.children,function(widgetChildNode) {\n\t\t\t\t\tvar node = {};\n\t\t\t\t\tresultNode.children.push(node);\n\t\t\t\t\tcopyNode(widgetChildNode,node);\n\t\t\t\t});\n\t\t\t}\n\t\t},\n\t\tresults = {};\n\tcopyNode(this.wikifyWidgetNode,results);\n\treturn results;\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nWikifyWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\t// Refresh ourselves entirely if any of our attributes have changed\n\tif(changedAttributes.name || changedAttributes.text || changedAttributes.type || changedAttributes.mode || changedAttributes.output) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\t// Refresh the widget tree\n\t\tif(this.wikifyWidgetNode.refresh(changedTiddlers)) {\n\t\t\t// Check if there was any change\n\t\t\tvar result = this.getResult();\n\t\t\tif(result !== this.wikifyResult) {\n\t\t\t\t// If so, save the change\n\t\t\t\tthis.wikifyResult = result;\n\t\t\t\tthis.setVariable(this.wikifyName,this.wikifyResult);\n\t\t\t\t// Refresh each of our child widgets\n\t\t\t\t$tw.utils.each(this.children,function(childWidget) {\n\t\t\t\t\tchildWidget.refreshSelf();\n\t\t\t\t});\n\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\t\t// Just refresh the children\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.wikify = WikifyWidget;\n\n})();\n",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/wiki-bulkops.js": {
"title": "$:/core/modules/wiki-bulkops.js",
"text": "/*\\\ntitle: $:/core/modules/wiki-bulkops.js\ntype: application/javascript\nmodule-type: wikimethod\n\nBulk tiddler operations such as rename.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nRename a tiddler, and relink any tags or lists that reference it.\n*/\nfunction renameTiddler(fromTitle,toTitle,options) {\n\tfromTitle = (fromTitle || \"\").trim();\n\ttoTitle = (toTitle || \"\").trim();\n\toptions = options || {};\n\tif(fromTitle && toTitle && fromTitle !== toTitle) {\n\t\t// Rename the tiddler itself\n\t\tvar oldTiddler = this.getTiddler(fromTitle),\n\t\t\tnewTiddler = new $tw.Tiddler(oldTiddler,{title: toTitle},this.getModificationFields());\n\t\tnewTiddler = $tw.hooks.invokeHook(\"th-renaming-tiddler\",newTiddler,oldTiddler);\n\t\tthis.addTiddler(newTiddler);\n\t\tthis.deleteTiddler(fromTitle);\n\t\t// Rename any tags or lists that reference it\n\t\tthis.relinkTiddler(fromTitle,toTitle,options)\n\t}\n}\n\n/*\nRelink any tags or lists that reference a given tiddler\n*/\nfunction relinkTiddler(fromTitle,toTitle,options) {\n\tvar self = this;\n\tfromTitle = (fromTitle || \"\").trim();\n\ttoTitle = (toTitle || \"\").trim();\n\toptions = options || {};\n\tif(fromTitle && toTitle && fromTitle !== toTitle) {\n\t\tthis.each(function(tiddler,title) {\n\t\t\tvar type = tiddler.fields.type || \"\";\n\t\t\t// Don't touch plugins or JavaScript modules\n\t\t\tif(!tiddler.fields[\"plugin-type\"] && type !== \"application/javascript\") {\n\t\t\t\tvar tags = tiddler.fields.tags ? tiddler.fields.tags.slice(0) : undefined,\n\t\t\t\t\tlist = tiddler.fields.list ? tiddler.fields.list.slice(0) : undefined,\n\t\t\t\t\tisModified = false;\n\t\t\t\tif(!options.dontRenameInTags) {\n\t\t\t\t\t// Rename tags\n\t\t\t\t\t$tw.utils.each(tags,function (title,index) {\n\t\t\t\t\t\tif(title === fromTitle) {\nconsole.log(\"Renaming tag '\" + tags[index] + \"' to '\" + toTitle + \"' of tiddler '\" + tiddler.fields.title + \"'\");\n\t\t\t\t\t\t\ttags[index] = toTitle;\n\t\t\t\t\t\t\tisModified = true;\n\t\t\t\t\t\t}\n\t\t\t\t\t});\n\t\t\t\t}\n\t\t\t\tif(!options.dontRenameInLists) {\n\t\t\t\t\t// Rename lists\n\t\t\t\t\t$tw.utils.each(list,function (title,index) {\n\t\t\t\t\t\tif(title === fromTitle) {\nconsole.log(\"Renaming list item '\" + list[index] + \"' to '\" + toTitle + \"' of tiddler '\" + tiddler.fields.title + \"'\");\n\t\t\t\t\t\t\tlist[index] = toTitle;\n\t\t\t\t\t\t\tisModified = true;\n\t\t\t\t\t\t}\n\t\t\t\t\t});\n\t\t\t\t}\n\t\t\t\tif(isModified) {\n\t\t\t\t\tvar newTiddler = new $tw.Tiddler(tiddler,{tags: tags, list: list},self.getModificationFields())\n\t\t\t\t\tnewTiddler = $tw.hooks.invokeHook(\"th-relinking-tiddler\",newTiddler,tiddler);\n\t\t\t\t\tself.addTiddler(newTiddler);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n};\n\nexports.renameTiddler = renameTiddler;\nexports.relinkTiddler = relinkTiddler;\n\n})();\n",
"type": "application/javascript",
"module-type": "wikimethod"
},
"$:/core/modules/wiki.js": {
"title": "$:/core/modules/wiki.js",
"text": "/*\\\ntitle: $:/core/modules/wiki.js\ntype: application/javascript\nmodule-type: wikimethod\n\nExtension methods for the $tw.Wiki object\n\nAdds the following properties to the wiki object:\n\n* `eventListeners` is a hashmap by type of arrays of listener functions\n* `changedTiddlers` is a hashmap describing changes to named tiddlers since wiki change events were last dispatched. Each entry is a hashmap containing two fields:\n\tmodified: true/false\n\tdeleted: true/false\n* `changeCount` is a hashmap by tiddler title containing a numerical index that starts at zero and is incremented each time a tiddler is created changed or deleted\n* `caches` is a hashmap by tiddler title containing a further hashmap of named cache objects. Caches are automatically cleared when a tiddler is modified or deleted\n* `globalCache` is a hashmap by cache name of cache objects that are cleared whenever any tiddler change occurs\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nvar USER_NAME_TITLE = \"$:/status/UserName\",\n\tTIMESTAMP_DISABLE_TITLE = \"$:/config/TimestampDisable\";\n\n/*\nAdd available indexers to this wiki\n*/\nexports.addIndexersToWiki = function() {\n\tvar self = this;\n\t$tw.utils.each($tw.modules.applyMethods(\"indexer\"),function(Indexer,name) {\n\t\tself.addIndexer(new Indexer(self),name);\n\t});\n};\n\n/*\nGet the value of a text reference. Text references can have any of these forms:\n\t<tiddlertitle>\n\t<tiddlertitle>!!<fieldname>\n\t!!<fieldname> - specifies a field of the current tiddlers\n\t<tiddlertitle>##<index>\n*/\nexports.getTextReference = function(textRef,defaultText,currTiddlerTitle) {\n\tvar tr = $tw.utils.parseTextReference(textRef),\n\t\ttitle = tr.title || currTiddlerTitle;\n\tif(tr.field) {\n\t\tvar tiddler = this.getTiddler(title);\n\t\tif(tr.field === \"title\") { // Special case so we can return the title of a non-existent tiddler\n\t\t\treturn title;\n\t\t} else if(tiddler && $tw.utils.hop(tiddler.fields,tr.field)) {\n\t\t\treturn tiddler.getFieldString(tr.field);\n\t\t} else {\n\t\t\treturn defaultText;\n\t\t}\n\t} else if(tr.index) {\n\t\treturn this.extractTiddlerDataItem(title,tr.index,defaultText);\n\t} else {\n\t\treturn this.getTiddlerText(title,defaultText);\n\t}\n};\n\nexports.setTextReference = function(textRef,value,currTiddlerTitle) {\n\tvar tr = $tw.utils.parseTextReference(textRef),\n\t\ttitle = tr.title || currTiddlerTitle;\n\tthis.setText(title,tr.field,tr.index,value);\n};\n\nexports.setText = function(title,field,index,value,options) {\n\toptions = options || {};\n\tvar creationFields = options.suppressTimestamp ? {} : this.getCreationFields(),\n\t\tmodificationFields = options.suppressTimestamp ? {} : this.getModificationFields();\n\t// Check if it is a reference to a tiddler field\n\tif(index) {\n\t\tvar data = this.getTiddlerData(title,Object.create(null));\n\t\tif(value !== undefined) {\n\t\t\tdata[index] = value;\n\t\t} else {\n\t\t\tdelete data[index];\n\t\t}\n\t\tthis.setTiddlerData(title,data,modificationFields);\n\t} else {\n\t\tvar tiddler = this.getTiddler(title),\n\t\t\tfields = {title: title};\n\t\tfields[field || \"text\"] = value;\n\t\tthis.addTiddler(new $tw.Tiddler(creationFields,tiddler,fields,modificationFields));\n\t}\n};\n\nexports.deleteTextReference = function(textRef,currTiddlerTitle) {\n\tvar tr = $tw.utils.parseTextReference(textRef),\n\t\ttitle,tiddler,fields;\n\t// Check if it is a reference to a tiddler\n\tif(tr.title && !tr.field) {\n\t\tthis.deleteTiddler(tr.title);\n\t// Else check for a field reference\n\t} else if(tr.field) {\n\t\ttitle = tr.title || currTiddlerTitle;\n\t\ttiddler = this.getTiddler(title);\n\t\tif(tiddler && $tw.utils.hop(tiddler.fields,tr.field)) {\n\t\t\tfields = Object.create(null);\n\t\t\tfields[tr.field] = undefined;\n\t\t\tthis.addTiddler(new $tw.Tiddler(tiddler,fields,this.getModificationFields()));\n\t\t}\n\t}\n};\n\nexports.addEventListener = function(type,listener) {\n\tthis.eventListeners = this.eventListeners || {};\n\tthis.eventListeners[type] = this.eventListeners[type] || [];\n\tthis.eventListeners[type].push(listener);\t\n};\n\nexports.removeEventListener = function(type,listener) {\n\tvar listeners = this.eventListeners[type];\n\tif(listeners) {\n\t\tvar p = listeners.indexOf(listener);\n\t\tif(p !== -1) {\n\t\t\tlisteners.splice(p,1);\n\t\t}\n\t}\n};\n\nexports.dispatchEvent = function(type /*, args */) {\n\tvar args = Array.prototype.slice.call(arguments,1),\n\t\tlisteners = this.eventListeners[type];\n\tif(listeners) {\n\t\tfor(var p=0; p<listeners.length; p++) {\n\t\t\tvar listener = listeners[p];\n\t\t\tlistener.apply(listener,args);\n\t\t}\n\t}\n};\n\n/*\nCauses a tiddler to be marked as changed, incrementing the change count, and triggers event handlers.\nThis method should be called after the changes it describes have been made to the wiki.tiddlers[] array.\n\ttitle: Title of tiddler\n\tisDeleted: defaults to false (meaning the tiddler has been created or modified),\n\t\ttrue if the tiddler has been deleted\n*/\nexports.enqueueTiddlerEvent = function(title,isDeleted) {\n\t// Record the touch in the list of changed tiddlers\n\tthis.changedTiddlers = this.changedTiddlers || Object.create(null);\n\tthis.changedTiddlers[title] = this.changedTiddlers[title] || Object.create(null);\n\tthis.changedTiddlers[title][isDeleted ? \"deleted\" : \"modified\"] = true;\n\t// Increment the change count\n\tthis.changeCount = this.changeCount || Object.create(null);\n\tif($tw.utils.hop(this.changeCount,title)) {\n\t\tthis.changeCount[title]++;\n\t} else {\n\t\tthis.changeCount[title] = 1;\n\t}\n\t// Trigger events\n\tthis.eventListeners = this.eventListeners || {};\n\tif(!this.eventsTriggered) {\n\t\tvar self = this;\n\t\t$tw.utils.nextTick(function() {\n\t\t\tvar changes = self.changedTiddlers;\n\t\t\tself.changedTiddlers = Object.create(null);\n\t\t\tself.eventsTriggered = false;\n\t\t\tif($tw.utils.count(changes) > 0) {\n\t\t\t\tself.dispatchEvent(\"change\",changes);\n\t\t\t}\n\t\t});\n\t\tthis.eventsTriggered = true;\n\t}\n};\n\nexports.getSizeOfTiddlerEventQueue = function() {\n\treturn $tw.utils.count(this.changedTiddlers);\n};\n\nexports.clearTiddlerEventQueue = function() {\n\tthis.changedTiddlers = Object.create(null);\n\tthis.changeCount = Object.create(null);\n};\n\nexports.getChangeCount = function(title) {\n\tthis.changeCount = this.changeCount || Object.create(null);\n\tif($tw.utils.hop(this.changeCount,title)) {\n\t\treturn this.changeCount[title];\n\t} else {\n\t\treturn 0;\n\t}\n};\n\n/*\nGenerate an unused title from the specified base\n*/\nexports.generateNewTitle = function(baseTitle,options) {\n\toptions = options || {};\n\tvar c = 0,\n\t\ttitle = baseTitle;\n\twhile(this.tiddlerExists(title) || this.isShadowTiddler(title) || this.findDraft(title)) {\n\t\ttitle = baseTitle + \n\t\t\t(options.prefix || \" \") + \n\t\t\t(++c);\n\t}\n\treturn title;\n};\n\nexports.isSystemTiddler = function(title) {\n\treturn title && title.indexOf(\"$:/\") === 0;\n};\n\nexports.isTemporaryTiddler = function(title) {\n\treturn title && title.indexOf(\"$:/temp/\") === 0;\n};\n\nexports.isImageTiddler = function(title) {\n\tvar tiddler = this.getTiddler(title);\n\tif(tiddler) {\t\t\n\t\tvar contentTypeInfo = $tw.config.contentTypeInfo[tiddler.fields.type || \"text/vnd.tiddlywiki\"];\n\t\treturn !!contentTypeInfo && contentTypeInfo.flags.indexOf(\"image\") !== -1;\n\t} else {\n\t\treturn null;\n\t}\n};\n\nexports.isBinaryTiddler = function(title) {\n\tvar tiddler = this.getTiddler(title);\n\tif(tiddler) {\t\t\n\t\tvar contentTypeInfo = $tw.config.contentTypeInfo[tiddler.fields.type || \"text/vnd.tiddlywiki\"];\n\t\treturn !!contentTypeInfo && contentTypeInfo.encoding === \"base64\";\n\t} else {\n\t\treturn null;\n\t}\n};\n\n/*\nLike addTiddler() except it will silently reject any plugin tiddlers that are older than the currently loaded version. Returns true if the tiddler was imported\n*/\nexports.importTiddler = function(tiddler) {\n\tvar existingTiddler = this.getTiddler(tiddler.fields.title);\n\t// Check if we're dealing with a plugin\n\tif(tiddler && tiddler.hasField(\"plugin-type\") && tiddler.hasField(\"version\") && existingTiddler && existingTiddler.hasField(\"plugin-type\") && existingTiddler.hasField(\"version\")) {\n\t\t// Reject the incoming plugin if it is older\n\t\tif(!$tw.utils.checkVersions(tiddler.fields.version,existingTiddler.fields.version)) {\n\t\t\treturn false;\n\t\t}\n\t}\n\t// Fall through to adding the tiddler\n\tthis.addTiddler(tiddler);\n\treturn true;\n};\n\n/*\nReturn a hashmap of the fields that should be set when a tiddler is created\n*/\nexports.getCreationFields = function() {\n\tif(this.getTiddlerText(TIMESTAMP_DISABLE_TITLE,\"\").toLowerCase() !== \"yes\") {\n\t\tvar fields = {\n\t\t\t\tcreated: new Date()\n\t\t\t},\n\t\t\tcreator = this.getTiddlerText(USER_NAME_TITLE);\n\t\tif(creator) {\n\t\t\tfields.creator = creator;\n\t\t}\n\t\treturn fields;\n\t} else {\n\t\treturn {};\n\t}\n};\n\n/*\nReturn a hashmap of the fields that should be set when a tiddler is modified\n*/\nexports.getModificationFields = function() {\n\tif(this.getTiddlerText(TIMESTAMP_DISABLE_TITLE,\"\").toLowerCase() !== \"yes\") {\n\t\tvar fields = Object.create(null),\n\t\t\tmodifier = this.getTiddlerText(USER_NAME_TITLE);\n\t\tfields.modified = new Date();\n\t\tif(modifier) {\n\t\t\tfields.modifier = modifier;\n\t\t}\n\t\treturn fields;\n\t} else {\n\t\treturn {};\n\t}\n};\n\n/*\nReturn a sorted array of tiddler titles. Options include:\nsortField: field to sort by\nexcludeTag: tag to exclude\nincludeSystem: whether to include system tiddlers (defaults to false)\n*/\nexports.getTiddlers = function(options) {\n\toptions = options || Object.create(null);\n\tvar self = this,\n\t\tsortField = options.sortField || \"title\",\n\t\ttiddlers = [], t, titles = [];\n\tthis.each(function(tiddler,title) {\n\t\tif(options.includeSystem || !self.isSystemTiddler(title)) {\n\t\t\tif(!options.excludeTag || !tiddler.hasTag(options.excludeTag)) {\n\t\t\t\ttiddlers.push(tiddler);\n\t\t\t}\n\t\t}\n\t});\n\ttiddlers.sort(function(a,b) {\n\t\tvar aa = a.fields[sortField].toLowerCase() || \"\",\n\t\t\tbb = b.fields[sortField].toLowerCase() || \"\";\n\t\tif(aa < bb) {\n\t\t\treturn -1;\n\t\t} else {\n\t\t\tif(aa > bb) {\n\t\t\t\treturn 1;\n\t\t\t} else {\n\t\t\t\treturn 0;\n\t\t\t}\n\t\t}\n\t});\n\tfor(t=0; t<tiddlers.length; t++) {\n\t\ttitles.push(tiddlers[t].fields.title);\n\t}\n\treturn titles;\n};\n\nexports.countTiddlers = function(excludeTag) {\n\tvar tiddlers = this.getTiddlers({excludeTag: excludeTag});\n\treturn $tw.utils.count(tiddlers);\n};\n\n/*\nReturns a function iterator(callback) that iterates through the specified titles, and invokes the callback with callback(tiddler,title)\n*/\nexports.makeTiddlerIterator = function(titles) {\n\tvar self = this;\n\tif(!$tw.utils.isArray(titles)) {\n\t\ttitles = Object.keys(titles);\n\t} else {\n\t\ttitles = titles.slice(0);\n\t}\n\treturn function(callback) {\n\t\ttitles.forEach(function(title) {\n\t\t\tcallback(self.getTiddler(title),title);\n\t\t});\n\t};\n};\n\n/*\nSort an array of tiddler titles by a specified field\n\ttitles: array of titles (sorted in place)\n\tsortField: name of field to sort by\n\tisDescending: true if the sort should be descending\n\tisCaseSensitive: true if the sort should consider upper and lower case letters to be different\n*/\nexports.sortTiddlers = function(titles,sortField,isDescending,isCaseSensitive,isNumeric,isAlphaNumeric) {\n\tvar self = this;\n\ttitles.sort(function(a,b) {\n\t\tvar x,y,\n\t\t\tcompareNumbers = function(x,y) {\n\t\t\t\tvar result = \n\t\t\t\t\tisNaN(x) && !isNaN(y) ? (isDescending ? -1 : 1) :\n\t\t\t\t\t!isNaN(x) && isNaN(y) ? (isDescending ? 1 : -1) :\n\t\t\t\t\t\t\t\t\t\t\t(isDescending ? y - x : x - y);\n\t\t\t\treturn result;\n\t\t\t};\n\t\tif(sortField !== \"title\") {\n\t\t\tvar tiddlerA = self.getTiddler(a),\n\t\t\t\ttiddlerB = self.getTiddler(b);\n\t\t\tif(tiddlerA) {\n\t\t\t\ta = tiddlerA.fields[sortField] || \"\";\n\t\t\t} else {\n\t\t\t\ta = \"\";\n\t\t\t}\n\t\t\tif(tiddlerB) {\n\t\t\t\tb = tiddlerB.fields[sortField] || \"\";\n\t\t\t} else {\n\t\t\t\tb = \"\";\n\t\t\t}\n\t\t}\n\t\tx = Number(a);\n\t\ty = Number(b);\n\t\tif(isNumeric && (!isNaN(x) || !isNaN(y))) {\n\t\t\treturn compareNumbers(x,y);\n\t\t} else if(isAlphaNumeric) {\n\t\t\treturn isDescending ? b.localeCompare(a,undefined,{numeric: true,sensitivity: \"base\"}) : a.localeCompare(b,undefined,{numeric: true,sensitivity: \"base\"});\n\t\t} else if($tw.utils.isDate(a) && $tw.utils.isDate(b)) {\n\t\t\treturn isDescending ? b - a : a - b;\n\t\t} else {\n\t\t\ta = String(a);\n\t\t\tb = String(b);\n\t\t\tif(!isCaseSensitive) {\n\t\t\t\ta = a.toLowerCase();\n\t\t\t\tb = b.toLowerCase();\n\t\t\t}\n\t\t\treturn isDescending ? b.localeCompare(a) : a.localeCompare(b);\n\t\t}\n\t});\n};\n\n/*\nFor every tiddler invoke a callback(title,tiddler) with `this` set to the wiki object. Options include:\nsortField: field to sort by\nexcludeTag: tag to exclude\nincludeSystem: whether to include system tiddlers (defaults to false)\n*/\nexports.forEachTiddler = function(/* [options,]callback */) {\n\tvar arg = 0,\n\t\toptions = arguments.length >= 2 ? arguments[arg++] : {},\n\t\tcallback = arguments[arg++],\n\t\ttitles = this.getTiddlers(options),\n\t\tt, tiddler;\n\tfor(t=0; t<titles.length; t++) {\n\t\ttiddler = this.getTiddler(titles[t]);\n\t\tif(tiddler) {\n\t\t\tcallback.call(this,tiddler.fields.title,tiddler);\n\t\t}\n\t}\n};\n\n/*\nReturn an array of tiddler titles that are directly linked within the given parse tree\n */\nexports.extractLinks = function(parseTreeRoot) {\n\t// Count up the links\n\tvar links = [],\n\t\tcheckParseTree = function(parseTree) {\n\t\t\tfor(var t=0; t<parseTree.length; t++) {\n\t\t\t\tvar parseTreeNode = parseTree[t];\n\t\t\t\tif(parseTreeNode.type === \"link\" && parseTreeNode.attributes.to && parseTreeNode.attributes.to.type === \"string\") {\n\t\t\t\t\tvar value = parseTreeNode.attributes.to.value;\n\t\t\t\t\tif(links.indexOf(value) === -1) {\n\t\t\t\t\t\tlinks.push(value);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tif(parseTreeNode.children) {\n\t\t\t\t\tcheckParseTree(parseTreeNode.children);\n\t\t\t\t}\n\t\t\t}\n\t\t};\n\tcheckParseTree(parseTreeRoot);\n\treturn links;\n};\n\n/*\nReturn an array of tiddler titles that are directly linked from the specified tiddler\n*/\nexports.getTiddlerLinks = function(title) {\n\tvar self = this;\n\t// We'll cache the links so they only get computed if the tiddler changes\n\treturn this.getCacheForTiddler(title,\"links\",function() {\n\t\t// Parse the tiddler\n\t\tvar parser = self.parseTiddler(title);\n\t\tif(parser) {\n\t\t\treturn self.extractLinks(parser.tree);\n\t\t}\n\t\treturn [];\n\t});\n};\n\n/*\nReturn an array of tiddler titles that link to the specified tiddler\n*/\nexports.getTiddlerBacklinks = function(targetTitle) {\n\tvar self = this,\n\t\tbacklinksIndexer = this.getIndexer(\"BacklinksIndexer\"),\n\t\tbacklinks = backlinksIndexer && backlinksIndexer.lookup(targetTitle);\n\n\tif(!backlinks) {\n\t\tbacklinks = [];\n\t\tthis.forEachTiddler(function(title,tiddler) {\n\t\t\tvar links = self.getTiddlerLinks(title);\n\t\t\tif(links.indexOf(targetTitle) !== -1) {\n\t\t\t\tbacklinks.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn backlinks;\n};\n\n/*\nReturn a hashmap of tiddler titles that are referenced but not defined. Each value is the number of times the missing tiddler is referenced\n*/\nexports.getMissingTitles = function() {\n\tvar self = this,\n\t\tmissing = [];\n// We should cache the missing tiddler list, even if we recreate it every time any tiddler is modified\n\tthis.forEachTiddler(function(title,tiddler) {\n\t\tvar links = self.getTiddlerLinks(title);\n\t\t$tw.utils.each(links,function(link) {\n\t\t\tif((!self.tiddlerExists(link) && !self.isShadowTiddler(link)) && missing.indexOf(link) === -1) {\n\t\t\t\tmissing.push(link);\n\t\t\t}\n\t\t});\n\t});\n\treturn missing;\n};\n\nexports.getOrphanTitles = function() {\n\tvar self = this,\n\t\torphans = this.getTiddlers();\n\tthis.forEachTiddler(function(title,tiddler) {\n\t\tvar links = self.getTiddlerLinks(title);\n\t\t$tw.utils.each(links,function(link) {\n\t\t\tvar p = orphans.indexOf(link);\n\t\t\tif(p !== -1) {\n\t\t\t\torphans.splice(p,1);\n\t\t\t}\n\t\t});\n\t});\n\treturn orphans; // Todo\n};\n\n/*\nRetrieves a list of the tiddler titles that are tagged with a given tag\n*/\nexports.getTiddlersWithTag = function(tag) {\n\t// Try to use the indexer\n\tvar self = this,\n\t\ttagIndexer = this.getIndexer(\"TagIndexer\"),\n\t\tresults = tagIndexer && tagIndexer.subIndexers[3].lookup(tag);\n\tif(!results) {\n\t\t// If not available, perform a manual scan\n\t\tresults = this.getGlobalCache(\"taglist-\" + tag,function() {\n\t\t\tvar tagmap = self.getTagMap();\n\t\t\treturn self.sortByList(tagmap[tag],tag);\n\t\t});\n\t}\n\treturn results;\n};\n\n/*\nGet a hashmap by tag of arrays of tiddler titles\n*/\nexports.getTagMap = function() {\n\tvar self = this;\n\treturn this.getGlobalCache(\"tagmap\",function() {\n\t\tvar tags = Object.create(null),\n\t\t\tstoreTags = function(tagArray,title) {\n\t\t\t\tif(tagArray) {\n\t\t\t\t\tfor(var index=0; index<tagArray.length; index++) {\n\t\t\t\t\t\tvar tag = tagArray[index];\n\t\t\t\t\t\tif($tw.utils.hop(tags,tag)) {\n\t\t\t\t\t\t\ttags[tag].push(title);\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\ttags[tag] = [title];\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t},\n\t\t\ttitle, tiddler;\n\t\t// Collect up all the tags\n\t\tself.eachShadow(function(tiddler,title) {\n\t\t\tif(!self.tiddlerExists(title)) {\n\t\t\t\ttiddler = self.getTiddler(title);\n\t\t\t\tstoreTags(tiddler.fields.tags,title);\n\t\t\t}\n\t\t});\n\t\tself.each(function(tiddler,title) {\n\t\t\tstoreTags(tiddler.fields.tags,title);\n\t\t});\n\t\treturn tags;\n\t});\n};\n\n/*\nLookup a given tiddler and return a list of all the tiddlers that include it in the specified list field\n*/\nexports.findListingsOfTiddler = function(targetTitle,fieldName) {\n\tfieldName = fieldName || \"list\";\n\tvar titles = [];\n\tthis.each(function(tiddler,title) {\n\t\tvar list = $tw.utils.parseStringArray(tiddler.fields[fieldName]);\n\t\tif(list && list.indexOf(targetTitle) !== -1) {\n\t\t\ttitles.push(title);\n\t\t}\n\t});\n\treturn titles;\n};\n\n/*\nSorts an array of tiddler titles according to an ordered list\n*/\nexports.sortByList = function(array,listTitle) {\n\tvar self = this,\n\t\treplacedTitles = Object.create(null);\n\t// Given a title, this function will place it in the correct location\n\t// within titles.\n\tfunction moveItemInList(title) {\n\t\tif(!$tw.utils.hop(replacedTitles, title)) {\n\t\t\treplacedTitles[title] = true;\n\t\t\tvar newPos = -1,\n\t\t\t\ttiddler = self.getTiddler(title);\n\t\t\tif(tiddler) {\n\t\t\t\tvar beforeTitle = tiddler.fields[\"list-before\"],\n\t\t\t\t\tafterTitle = tiddler.fields[\"list-after\"];\n\t\t\t\tif(beforeTitle === \"\") {\n\t\t\t\t\tnewPos = 0;\n\t\t\t\t} else if(afterTitle === \"\") {\n\t\t\t\t\tnewPos = titles.length;\n\t\t\t\t} else if(beforeTitle) {\n\t\t\t\t\t// if this title is placed relative\n\t\t\t\t\t// to another title, make sure that\n\t\t\t\t\t// title is placed before we place\n\t\t\t\t\t// this one.\n\t\t\t\t\tmoveItemInList(beforeTitle);\n\t\t\t\t\tnewPos = titles.indexOf(beforeTitle);\n\t\t\t\t} else if(afterTitle) {\n\t\t\t\t\t// Same deal\n\t\t\t\t\tmoveItemInList(afterTitle);\n\t\t\t\t\tnewPos = titles.indexOf(afterTitle);\n\t\t\t\t\tif(newPos >= 0) {\n\t\t\t\t\t\t++newPos;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t// If a new position is specified, let's move it\n\t\t\t\tif (newPos !== -1) {\n\t\t\t\t\t// get its current Pos, and make sure\n\t\t\t\t\t// sure that it's _actually_ in the list\n\t\t\t\t\t// and that it would _actually_ move\n\t\t\t\t\t// (#4275) We don't bother calling\n\t\t\t\t\t// indexOf unless we have a new\n\t\t\t\t\t// position to work with\n\t\t\t\t\tvar currPos = titles.indexOf(title);\n\t\t\t\t\tif(currPos >= 0 && newPos !== currPos) {\n\t\t\t\t\t\t// move it!\n\t\t\t\t\t\ttitles.splice(currPos,1);\n\t\t\t\t\t\tif(newPos >= currPos) {\n\t\t\t\t\t\t\tnewPos--;\n\t\t\t\t\t\t}\n\t\t\t\t\t\ttitles.splice(newPos,0,title);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\tvar list = this.getTiddlerList(listTitle);\n\tif(!array || array.length === 0) {\n\t\treturn [];\n\t} else {\n\t\tvar titles = [], t, title;\n\t\t// First place any entries that are present in the list\n\t\tfor(t=0; t<list.length; t++) {\n\t\t\ttitle = list[t];\n\t\t\tif(array.indexOf(title) !== -1) {\n\t\t\t\ttitles.push(title);\n\t\t\t}\n\t\t}\n\t\t// Then place any remaining entries\n\t\tfor(t=0; t<array.length; t++) {\n\t\t\ttitle = array[t];\n\t\t\tif(list.indexOf(title) === -1) {\n\t\t\t\ttitles.push(title);\n\t\t\t}\n\t\t}\n\t\t// Finally obey the list-before and list-after fields of each tiddler in turn\n\t\tvar sortedTitles = titles.slice(0);\n\t\tfor(t=0; t<sortedTitles.length; t++) {\n\t\t\ttitle = sortedTitles[t];\n\t\t\tmoveItemInList(title);\n\t\t}\n\t\treturn titles;\n\t}\n};\n\nexports.getSubTiddler = function(title,subTiddlerTitle) {\n\tvar bundleInfo = this.getPluginInfo(title) || this.getTiddlerDataCached(title);\n\tif(bundleInfo && bundleInfo.tiddlers) {\n\t\tvar subTiddler = bundleInfo.tiddlers[subTiddlerTitle];\n\t\tif(subTiddler) {\n\t\t\treturn new $tw.Tiddler(subTiddler);\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nRetrieve a tiddler as a JSON string of the fields\n*/\nexports.getTiddlerAsJson = function(title) {\n\tvar tiddler = this.getTiddler(title);\n\tif(tiddler) {\n\t\tvar fields = Object.create(null);\n\t\t$tw.utils.each(tiddler.fields,function(value,name) {\n\t\t\tfields[name] = tiddler.getFieldString(name);\n\t\t});\n\t\treturn JSON.stringify(fields);\n\t} else {\n\t\treturn JSON.stringify({title: title});\n\t}\n};\n\nexports.getTiddlersAsJson = function(filter,spaces) {\n\tvar tiddlers = this.filterTiddlers(filter),\n\t\tspaces = (spaces === undefined) ? $tw.config.preferences.jsonSpaces : spaces,\n\t\tdata = [];\n\tfor(var t=0;t<tiddlers.length; t++) {\n\t\tvar tiddler = this.getTiddler(tiddlers[t]);\n\t\tif(tiddler) {\n\t\t\tvar fields = new Object();\n\t\t\tfor(var field in tiddler.fields) {\n\t\t\t\tfields[field] = tiddler.getFieldString(field);\n\t\t\t}\n\t\t\tdata.push(fields);\n\t\t}\n\t}\n\treturn JSON.stringify(data,null,spaces);\n};\n\n/*\nGet the content of a tiddler as a JavaScript object. How this is done depends on the type of the tiddler:\n\napplication/json: the tiddler JSON is parsed into an object\napplication/x-tiddler-dictionary: the tiddler is parsed as sequence of name:value pairs\n\nOther types currently just return null.\n\ntitleOrTiddler: string tiddler title or a tiddler object\ndefaultData: default data to be returned if the tiddler is missing or doesn't contain data\n\nNote that the same value is returned for repeated calls for the same tiddler data. The value is frozen to prevent modification; otherwise modifications would be visible to all callers\n*/\nexports.getTiddlerDataCached = function(titleOrTiddler,defaultData) {\n\tvar self = this,\n\t\ttiddler = titleOrTiddler;\n\tif(!(tiddler instanceof $tw.Tiddler)) {\n\t\ttiddler = this.getTiddler(tiddler);\t\n\t}\n\tif(tiddler) {\n\t\treturn this.getCacheForTiddler(tiddler.fields.title,\"data\",function() {\n\t\t\t// Return the frozen value\n\t\t\tvar value = self.getTiddlerData(tiddler.fields.title,undefined);\n\t\t\t$tw.utils.deepFreeze(value);\n\t\t\treturn value;\n\t\t}) || defaultData;\n\t} else {\n\t\treturn defaultData;\n\t}\n};\n\n/*\nAlternative, uncached version of getTiddlerDataCached(). The return value can be mutated freely and reused\n*/\nexports.getTiddlerData = function(titleOrTiddler,defaultData) {\n\tvar tiddler = titleOrTiddler,\n\t\tdata;\n\tif(!(tiddler instanceof $tw.Tiddler)) {\n\t\ttiddler = this.getTiddler(tiddler);\t\n\t}\n\tif(tiddler && tiddler.fields.text) {\n\t\tswitch(tiddler.fields.type) {\n\t\t\tcase \"application/json\":\n\t\t\t\t// JSON tiddler\n\t\t\t\ttry {\n\t\t\t\t\tdata = JSON.parse(tiddler.fields.text);\n\t\t\t\t} catch(ex) {\n\t\t\t\t\treturn defaultData;\n\t\t\t\t}\n\t\t\t\treturn data;\n\t\t\tcase \"application/x-tiddler-dictionary\":\n\t\t\t\treturn $tw.utils.parseFields(tiddler.fields.text);\n\t\t}\n\t}\n\treturn defaultData;\n};\n\n/*\nExtract an indexed field from within a data tiddler\n*/\nexports.extractTiddlerDataItem = function(titleOrTiddler,index,defaultText) {\n\tvar data = this.getTiddlerDataCached(titleOrTiddler,Object.create(null)),\n\t\ttext;\n\tif(data && $tw.utils.hop(data,index)) {\n\t\ttext = data[index];\n\t}\n\tif(typeof text === \"string\" || typeof text === \"number\") {\n\t\treturn text.toString();\n\t} else {\n\t\treturn defaultText;\n\t}\n};\n\n/*\nSet a tiddlers content to a JavaScript object. Currently this is done by setting the tiddler's type to \"application/json\" and setting the text to the JSON text of the data.\ntitle: title of tiddler\ndata: object that can be serialised to JSON\nfields: optional hashmap of additional tiddler fields to be set\n*/\nexports.setTiddlerData = function(title,data,fields) {\n\tvar existingTiddler = this.getTiddler(title),\n\t\tnewFields = {\n\t\t\ttitle: title\n\t};\n\tif(existingTiddler && existingTiddler.fields.type === \"application/x-tiddler-dictionary\") {\n\t\tnewFields.text = $tw.utils.makeTiddlerDictionary(data);\n\t} else {\n\t\tnewFields.type = \"application/json\";\n\t\tnewFields.text = JSON.stringify(data,null,$tw.config.preferences.jsonSpaces);\n\t}\n\tthis.addTiddler(new $tw.Tiddler(this.getCreationFields(),existingTiddler,fields,newFields,this.getModificationFields()));\n};\n\n/*\nReturn the content of a tiddler as an array containing each line\n*/\nexports.getTiddlerList = function(title,field,index) {\n\tif(index) {\n\t\treturn $tw.utils.parseStringArray(this.extractTiddlerDataItem(title,index,\"\"));\n\t}\n\tfield = field || \"list\";\n\tvar tiddler = this.getTiddler(title);\n\tif(tiddler) {\n\t\treturn ($tw.utils.parseStringArray(tiddler.fields[field]) || []).slice(0);\n\t}\n\treturn [];\n};\n\n// Return a named global cache object. Global cache objects are cleared whenever a tiddler change occurs\nexports.getGlobalCache = function(cacheName,initializer) {\n\tthis.globalCache = this.globalCache || Object.create(null);\n\tif($tw.utils.hop(this.globalCache,cacheName)) {\n\t\treturn this.globalCache[cacheName];\n\t} else {\n\t\tthis.globalCache[cacheName] = initializer();\n\t\treturn this.globalCache[cacheName];\n\t}\n};\n\nexports.clearGlobalCache = function() {\n\tthis.globalCache = Object.create(null);\n};\n\n// Return the named cache object for a tiddler. If the cache doesn't exist then the initializer function is invoked to create it\nexports.getCacheForTiddler = function(title,cacheName,initializer) {\n\tthis.caches = this.caches || Object.create(null);\n\tvar caches = this.caches[title];\n\tif(caches && caches[cacheName]) {\n\t\treturn caches[cacheName];\n\t} else {\n\t\tif(!caches) {\n\t\t\tcaches = Object.create(null);\n\t\t\tthis.caches[title] = caches;\n\t\t}\n\t\tcaches[cacheName] = initializer();\n\t\treturn caches[cacheName];\n\t}\n};\n\n// Clear all caches associated with a particular tiddler, or, if the title is null, clear all the caches for all the tiddlers\nexports.clearCache = function(title) {\n\tif(title) {\n\t\tthis.caches = this.caches || Object.create(null);\n\t\tif($tw.utils.hop(this.caches,title)) {\n\t\t\tdelete this.caches[title];\n\t\t}\n\t} else {\n\t\tthis.caches = Object.create(null);\n\t}\n};\n\nexports.initParsers = function(moduleType) {\n\t// Install the parser modules\n\t$tw.Wiki.parsers = {};\n\tvar self = this;\n\t$tw.modules.forEachModuleOfType(\"parser\",function(title,module) {\n\t\tfor(var f in module) {\n\t\t\tif($tw.utils.hop(module,f)) {\n\t\t\t\t$tw.Wiki.parsers[f] = module[f]; // Store the parser class\n\t\t\t}\n\t\t}\n\t});\n\t// Use the generic binary parser for any binary types not registered so far\n\tif($tw.Wiki.parsers[\"application/octet-stream\"]) {\n\t\tObject.keys($tw.config.contentTypeInfo).forEach(function(type) {\n\t\t\tif(!$tw.utils.hop($tw.Wiki.parsers,type) && $tw.config.contentTypeInfo[type].encoding === \"base64\") {\n\t\t\t\t$tw.Wiki.parsers[type] = $tw.Wiki.parsers[\"application/octet-stream\"];\n\t\t\t}\n\t\t});\t\t\n\t}\n};\n\n/*\nParse a block of text of a specified MIME type\n\ttype: content type of text to be parsed\n\ttext: text\n\toptions: see below\nOptions include:\n\tparseAsInline: if true, the text of the tiddler will be parsed as an inline run\n\t_canonical_uri: optional string of the canonical URI of this content\n*/\nexports.parseText = function(type,text,options) {\n\ttext = text || \"\";\n\toptions = options || {};\n\t// Select a parser\n\tvar Parser = $tw.Wiki.parsers[type];\n\tif(!Parser && $tw.utils.getFileExtensionInfo(type)) {\n\t\tParser = $tw.Wiki.parsers[$tw.utils.getFileExtensionInfo(type).type];\n\t}\n\tif(!Parser) {\n\t\tParser = $tw.Wiki.parsers[options.defaultType || \"text/vnd.tiddlywiki\"];\n\t}\n\tif(!Parser) {\n\t\treturn null;\n\t}\n\t// Return the parser instance\n\treturn new Parser(type,text,{\n\t\tparseAsInline: options.parseAsInline,\n\t\twiki: this,\n\t\t_canonical_uri: options._canonical_uri\n\t});\n};\n\n/*\nParse a tiddler according to its MIME type\n*/\nexports.parseTiddler = function(title,options) {\n\toptions = $tw.utils.extend({},options);\n\tvar cacheType = options.parseAsInline ? \"inlineParseTree\" : \"blockParseTree\",\n\t\ttiddler = this.getTiddler(title),\n\t\tself = this;\n\treturn tiddler ? this.getCacheForTiddler(title,cacheType,function() {\n\t\t\tif(tiddler.hasField(\"_canonical_uri\")) {\n\t\t\t\toptions._canonical_uri = tiddler.fields._canonical_uri;\n\t\t\t}\n\t\t\treturn self.parseText(tiddler.fields.type,tiddler.fields.text,options);\n\t\t}) : null;\n};\n\nexports.parseTextReference = function(title,field,index,options) {\n\tvar tiddler,text;\n\tif(options.subTiddler) {\n\t\ttiddler = this.getSubTiddler(title,options.subTiddler);\n\t} else {\n\t\ttiddler = this.getTiddler(title);\n\t\tif(field === \"text\" || (!field && !index)) {\n\t\t\tthis.getTiddlerText(title); // Force the tiddler to be lazily loaded\n\t\t\treturn this.parseTiddler(title,options);\n\t\t}\n\t}\n\tif(field === \"text\" || (!field && !index)) {\n\t\tif(tiddler && tiddler.fields) {\n\t\t\treturn this.parseText(tiddler.fields.type,tiddler.fields.text,options);\t\t\t\n\t\t} else {\n\t\t\treturn null;\n\t\t}\n\t} else if(field) {\n\t\tif(field === \"title\") {\n\t\t\ttext = title;\n\t\t} else {\n\t\t\tif(!tiddler || !tiddler.hasField(field)) {\n\t\t\t\treturn null;\n\t\t\t}\n\t\t\ttext = tiddler.fields[field];\n\t\t}\n\t\treturn this.parseText(\"text/vnd.tiddlywiki\",text.toString(),options);\n\t} else if(index) {\n\t\tthis.getTiddlerText(title); // Force the tiddler to be lazily loaded\n\t\ttext = this.extractTiddlerDataItem(tiddler,index,undefined);\n\t\tif(text === undefined) {\n\t\t\treturn null;\n\t\t}\n\t\treturn this.parseText(\"text/vnd.tiddlywiki\",text,options);\n\t}\n};\n\n/*\nMake a widget tree for a parse tree\nparser: parser object\noptions: see below\nOptions include:\ndocument: optional document to use\nvariables: hashmap of variables to set\nparentWidget: optional parent widget for the root node\n*/\nexports.makeWidget = function(parser,options) {\n\toptions = options || {};\n\tvar widgetNode = {\n\t\t\ttype: \"widget\",\n\t\t\tchildren: []\n\t\t},\n\t\tcurrWidgetNode = widgetNode;\n\t// Create set variable widgets for each variable\n\t$tw.utils.each(options.variables,function(value,name) {\n\t\tvar setVariableWidget = {\n\t\t\ttype: \"set\",\n\t\t\tattributes: {\n\t\t\t\tname: {type: \"string\", value: name},\n\t\t\t\tvalue: {type: \"string\", value: value}\n\t\t\t},\n\t\t\tchildren: []\n\t\t};\n\t\tcurrWidgetNode.children = [setVariableWidget];\n\t\tcurrWidgetNode = setVariableWidget;\n\t});\n\t// Add in the supplied parse tree nodes\n\tcurrWidgetNode.children = parser ? parser.tree : [];\n\t// Create the widget\n\treturn new widget.widget(widgetNode,{\n\t\twiki: this,\n\t\tdocument: options.document || $tw.fakeDocument,\n\t\tparentWidget: options.parentWidget\n\t});\n};\n\n/*\nMake a widget tree for transclusion\ntitle: target tiddler title\noptions: as for wiki.makeWidget() plus:\noptions.field: optional field to transclude (defaults to \"text\")\noptions.mode: transclusion mode \"inline\" or \"block\"\noptions.children: optional array of children for the transclude widget\noptions.importVariables: optional importvariables filter string for macros to be included\noptions.importPageMacros: optional boolean; if true, equivalent to passing \"[[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\" to options.importVariables\n*/\nexports.makeTranscludeWidget = function(title,options) {\n\toptions = options || {};\n\tvar parseTreeDiv = {tree: [{\n\t\t\ttype: \"element\",\n\t\t\ttag: \"div\",\n\t\t\tchildren: []}]},\n\t\tparseTreeImportVariables = {\n\t\t\ttype: \"importvariables\",\n\t\t\tattributes: {\n\t\t\t\tfilter: {\n\t\t\t\t\tname: \"filter\",\n\t\t\t\t\ttype: \"string\"\n\t\t\t\t}\n\t\t\t},\n\t\t\tisBlock: false,\n\t\t\tchildren: []},\n\t\tparseTreeTransclude = {\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {\n\t\t\t\t\tname: \"tiddler\",\n\t\t\t\t\ttype: \"string\",\n\t\t\t\t\tvalue: title}},\n\t\t\tisBlock: !options.parseAsInline};\n\tif(options.importVariables || options.importPageMacros) {\n\t\tif(options.importVariables) {\n\t\t\tparseTreeImportVariables.attributes.filter.value = options.importVariables;\n\t\t} else if(options.importPageMacros) {\n\t\t\tparseTreeImportVariables.attributes.filter.value = \"[[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\";\n\t\t}\n\t\tparseTreeDiv.tree[0].children.push(parseTreeImportVariables);\n\t\tparseTreeImportVariables.children.push(parseTreeTransclude);\n\t} else {\n\t\tparseTreeDiv.tree[0].children.push(parseTreeTransclude);\n\t}\n\tif(options.field) {\n\t\tparseTreeTransclude.attributes.field = {type: \"string\", value: options.field};\n\t}\n\tif(options.mode) {\n\t\tparseTreeTransclude.attributes.mode = {type: \"string\", value: options.mode};\n\t}\n\tif(options.children) {\n\t\tparseTreeTransclude.children = options.children;\n\t}\n\treturn $tw.wiki.makeWidget(parseTreeDiv,options);\n};\n\n/*\nParse text in a specified format and render it into another format\n\toutputType: content type for the output\n\ttextType: content type of the input text\n\ttext: input text\n\toptions: see below\nOptions include:\nvariables: hashmap of variables to set\nparentWidget: optional parent widget for the root node\n*/\nexports.renderText = function(outputType,textType,text,options) {\n\toptions = options || {};\n\tvar parser = this.parseText(textType,text,options),\n\t\twidgetNode = this.makeWidget(parser,options);\n\tvar container = $tw.fakeDocument.createElement(\"div\");\n\twidgetNode.render(container,null);\n\treturn outputType === \"text/html\" ? container.innerHTML : container.textContent;\n};\n\n/*\nParse text from a tiddler and render it into another format\n\toutputType: content type for the output\n\ttitle: title of the tiddler to be rendered\n\toptions: see below\nOptions include:\nvariables: hashmap of variables to set\nparentWidget: optional parent widget for the root node\n*/\nexports.renderTiddler = function(outputType,title,options) {\n\toptions = options || {};\n\tvar parser = this.parseTiddler(title,options),\n\t\twidgetNode = this.makeWidget(parser,options);\n\tvar container = $tw.fakeDocument.createElement(\"div\");\n\twidgetNode.render(container,null);\n\treturn outputType === \"text/html\" ? container.innerHTML : (outputType === \"text/plain-formatted\" ? container.formattedTextContent : container.textContent);\n};\n\n/*\nReturn an array of tiddler titles that match a search string\n\ttext: The text string to search for\n\toptions: see below\nOptions available:\n\tsource: an iterator function for the source tiddlers, called source(iterator), where iterator is called as iterator(tiddler,title)\n\texclude: An array of tiddler titles to exclude from the search\n\tinvert: If true returns tiddlers that do not contain the specified string\n\tcaseSensitive: If true forces a case sensitive search\n\tfield: If specified, restricts the search to the specified field, or an array of field names\n\tanchored: If true, forces all but regexp searches to be anchored to the start of text\n\texcludeField: If true, the field options are inverted to specify the fields that are not to be searched\n\tThe search mode is determined by the first of these boolean flags to be true\n\t\tliteral: searches for literal string\n\t\twhitespace: same as literal except runs of whitespace are treated as a single space\n\t\tregexp: treats the search term as a regular expression\n\t\twords: (default) treats search string as a list of tokens, and matches if all tokens are found, regardless of adjacency or ordering\n*/\nexports.search = function(text,options) {\n\toptions = options || {};\n\tvar self = this,\n\t\tt,\n\t\tinvert = !!options.invert;\n\t// Convert the search string into a regexp for each term\n\tvar terms, searchTermsRegExps,\n\t\tflags = options.caseSensitive ? \"\" : \"i\",\n\t\tanchor = options.anchored ? \"^\" : \"\";\n\tif(options.literal) {\n\t\tif(text.length === 0) {\n\t\t\tsearchTermsRegExps = null;\n\t\t} else {\n\t\t\tsearchTermsRegExps = [new RegExp(\"(\" + anchor + $tw.utils.escapeRegExp(text) + \")\",flags)];\n\t\t}\n\t} else if(options.whitespace) {\n\t\tterms = [];\n\t\t$tw.utils.each(text.split(/\\s+/g),function(term) {\n\t\t\tif(term) {\n\t\t\t\tterms.push($tw.utils.escapeRegExp(term));\n\t\t\t}\n\t\t});\n\t\tsearchTermsRegExps = [new RegExp(\"(\" + anchor + terms.join(\"\\\\s+\") + \")\",flags)];\n\t} else if(options.regexp) {\n\t\ttry {\n\t\t\tsearchTermsRegExps = [new RegExp(\"(\" + text + \")\",flags)];\t\t\t\n\t\t} catch(e) {\n\t\t\tsearchTermsRegExps = null;\n\t\t\tconsole.log(\"Regexp error parsing /(\" + text + \")/\" + flags + \": \",e);\n\t\t}\n\t} else {\n\t\tterms = text.split(/ +/);\n\t\tif(terms.length === 1 && terms[0] === \"\") {\n\t\t\tsearchTermsRegExps = null;\n\t\t} else {\n\t\t\tsearchTermsRegExps = [];\n\t\t\tfor(t=0; t<terms.length; t++) {\n\t\t\t\tsearchTermsRegExps.push(new RegExp(\"(\" + anchor + $tw.utils.escapeRegExp(terms[t]) + \")\",flags));\n\t\t\t}\n\t\t}\n\t}\n\t// Accumulate the array of fields to be searched or excluded from the search\n\tvar fields = [];\n\tif(options.field) {\n\t\tif($tw.utils.isArray(options.field)) {\n\t\t\t$tw.utils.each(options.field,function(fieldName) {\n\t\t\t\tif(fieldName) {\n\t\t\t\t\tfields.push(fieldName);\t\t\t\t\t\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tfields.push(options.field);\n\t\t}\n\t}\n\t// Use default fields if none specified and we're not excluding fields (excluding fields with an empty field array is the same as searching all fields)\n\tif(fields.length === 0 && !options.excludeField) {\n\t\tfields.push(\"title\");\n\t\tfields.push(\"tags\");\n\t\tfields.push(\"text\");\n\t}\n\t// Function to check a given tiddler for the search term\n\tvar searchTiddler = function(title) {\n\t\tif(!searchTermsRegExps) {\n\t\t\treturn true;\n\t\t}\n\t\tvar notYetFound = searchTermsRegExps.slice();\n\n\t\tvar tiddler = self.getTiddler(title);\n\t\tif(!tiddler) {\n\t\t\ttiddler = new $tw.Tiddler({title: title, text: \"\", type: \"text/vnd.tiddlywiki\"});\n\t\t}\n\t\tvar contentTypeInfo = $tw.config.contentTypeInfo[tiddler.fields.type] || $tw.config.contentTypeInfo[\"text/vnd.tiddlywiki\"],\n\t\t\tsearchFields;\n\t\t// Get the list of fields we're searching\n\t\tif(options.excludeField) {\n\t\t\tsearchFields = Object.keys(tiddler.fields);\n\t\t\t$tw.utils.each(fields,function(fieldName) {\n\t\t\t\tvar p = searchFields.indexOf(fieldName);\n\t\t\t\tif(p !== -1) {\n\t\t\t\t\tsearchFields.splice(p,1);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsearchFields = fields;\n\t\t}\n\t\tfor(var fieldIndex=0; notYetFound.length>0 && fieldIndex<searchFields.length; fieldIndex++) {\n\t\t\t// Don't search the text field if the content type is binary\n\t\t\tvar fieldName = searchFields[fieldIndex];\n\t\t\tif(fieldName === \"text\" && contentTypeInfo.encoding !== \"utf8\") {\n\t\t\t\tbreak;\n\t\t\t}\n\t\t\tvar str = tiddler.fields[fieldName],\n\t\t\t\tt;\n\t\t\tif(str) {\n\t\t\t\tif($tw.utils.isArray(str)) {\n\t\t\t\t\t// If the field value is an array, test each regexp against each field array entry and fail if each regexp doesn't match at least one field array entry\n\t\t\t\t\tfor(var s=0; s<str.length; s++) {\n\t\t\t\t\t\tfor(t=0; t<notYetFound.length;) {\n\t\t\t\t\t\t\tif(notYetFound[t].test(str[s])) {\n\t\t\t\t\t\t\t\tnotYetFound.splice(t, 1);\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\tt++;\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\t// If the field isn't an array, force it to a string and test each regexp against it and fail if any do not match\n\t\t\t\t\tstr = tiddler.getFieldString(fieldName);\n\t\t\t\t\tfor(t=0; t<notYetFound.length;) {\n\t\t\t\t\t\tif(notYetFound[t].test(str)) {\n\t\t\t\t\t\t\tnotYetFound.splice(t, 1);\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tt++;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t};\n\t\treturn notYetFound.length == 0;\n\t};\n\t// Loop through all the tiddlers doing the search\n\tvar results = [],\n\t\tsource = options.source || this.each;\n\tsource(function(tiddler,title) {\n\t\tif(searchTiddler(title) !== options.invert) {\n\t\t\tresults.push(title);\n\t\t}\n\t});\n\t// Remove any of the results we have to exclude\n\tif(options.exclude) {\n\t\tfor(t=0; t<options.exclude.length; t++) {\n\t\t\tvar p = results.indexOf(options.exclude[t]);\n\t\t\tif(p !== -1) {\n\t\t\t\tresults.splice(p,1);\n\t\t\t}\n\t\t}\n\t}\n\treturn results;\n};\n\n/*\nTrigger a load for a tiddler if it is skinny. Returns the text, or undefined if the tiddler is missing, null if the tiddler is being lazily loaded.\n*/\nexports.getTiddlerText = function(title,defaultText) {\n\tvar tiddler = this.getTiddler(title);\n\t// Return undefined if the tiddler isn't found\n\tif(!tiddler) {\n\t\treturn defaultText;\n\t}\n\tif(!tiddler.hasField(\"_is_skinny\")) {\n\t\t// Just return the text if we've got it\n\t\treturn tiddler.fields.text || \"\";\n\t} else {\n\t\t// Tell any listeners about the need to lazily load this tiddler\n\t\tthis.dispatchEvent(\"lazyLoad\",title);\n\t\t// Indicate that the text is being loaded\n\t\treturn null;\n\t}\n};\n\n/*\nCheck whether the text of a tiddler matches a given value. By default, the comparison is case insensitive, and any spaces at either end of the tiddler text is trimmed\n*/\nexports.checkTiddlerText = function(title,targetText,options) {\n\toptions = options || {};\n\tvar text = this.getTiddlerText(title,\"\");\n\tif(!options.noTrim) {\n\t\ttext = text.trim();\n\t}\n\tif(!options.caseSensitive) {\n\t\ttext = text.toLowerCase();\n\t\ttargetText = targetText.toLowerCase();\n\t}\n\treturn text === targetText;\n}\n\n/*\nRead an array of browser File objects, invoking callback(tiddlerFieldsArray) once they're all read\n*/\nexports.readFiles = function(files,options) {\n\tvar callback;\n\tif(typeof options === \"function\") {\n\t\tcallback = options;\n\t\toptions = {};\n\t} else {\n\t\tcallback = options.callback;\n\t}\n\tvar result = [],\n\t\toutstanding = files.length,\n\t\treadFileCallback = function(tiddlerFieldsArray) {\n\t\t\tresult.push.apply(result,tiddlerFieldsArray);\n\t\t\tif(--outstanding === 0) {\n\t\t\t\tcallback(result);\n\t\t\t}\n\t\t};\n\tfor(var f=0; f<files.length; f++) {\n\t\tthis.readFile(files[f],$tw.utils.extend({},options,{callback: readFileCallback}));\n\t}\n\treturn files.length;\n};\n\n/*\nRead a browser File object, invoking callback(tiddlerFieldsArray) with an array of tiddler fields objects\n*/\nexports.readFile = function(file,options) {\n\tvar callback;\n\tif(typeof options === \"function\") {\n\t\tcallback = options;\n\t\toptions = {};\n\t} else {\n\t\tcallback = options.callback;\n\t}\n\t// Get the type, falling back to the filename extension\n\tvar self = this,\n\t\ttype = file.type;\n\tif(type === \"\" || !type) {\n\t\tvar dotPos = file.name.lastIndexOf(\".\");\n\t\tif(dotPos !== -1) {\n\t\t\tvar fileExtensionInfo = $tw.utils.getFileExtensionInfo(file.name.substr(dotPos));\n\t\t\tif(fileExtensionInfo) {\n\t\t\t\ttype = fileExtensionInfo.type;\n\t\t\t}\n\t\t}\n\t}\n\t// Figure out if we're reading a binary file\n\tvar contentTypeInfo = $tw.config.contentTypeInfo[type],\n\t\tisBinary = contentTypeInfo ? contentTypeInfo.encoding === \"base64\" : false;\n\t// Log some debugging information\n\tif($tw.log.IMPORT) {\n\t\tconsole.log(\"Importing file '\" + file.name + \"', type: '\" + type + \"', isBinary: \" + isBinary);\n\t}\n\t// Give the hook a chance to process the drag\n\tif($tw.hooks.invokeHook(\"th-importing-file\",{\n\t\tfile: file,\n\t\ttype: type,\n\t\tisBinary: isBinary,\n\t\tcallback: callback\n\t}) !== true) {\n\t\tthis.readFileContent(file,type,isBinary,options.deserializer,callback);\n\t}\n};\n\n/*\nLower level utility to read the content of a browser File object, invoking callback(tiddlerFieldsArray) with an array of tiddler fields objects\n*/\nexports.readFileContent = function(file,type,isBinary,deserializer,callback) {\n\tvar self = this;\n\t// Create the FileReader\n\tvar reader = new FileReader();\n\t// Onload\n\treader.onload = function(event) {\n\t\tvar text = event.target.result,\n\t\t\ttiddlerFields = {title: file.name || \"Untitled\", type: type};\n\t\tif(isBinary) {\n\t\t\tvar commaPos = text.indexOf(\",\");\n\t\t\tif(commaPos !== -1) {\n\t\t\t\ttext = text.substr(commaPos + 1);\n\t\t\t}\n\t\t}\n\t\t// Check whether this is an encrypted TiddlyWiki file\n\t\tvar encryptedJson = $tw.utils.extractEncryptedStoreArea(text);\n\t\tif(encryptedJson) {\n\t\t\t// If so, attempt to decrypt it with the current password\n\t\t\t$tw.utils.decryptStoreAreaInteractive(encryptedJson,function(tiddlers) {\n\t\t\t\tcallback(tiddlers);\n\t\t\t});\n\t\t} else {\n\t\t\t// Otherwise, just try to deserialise any tiddlers in the file\n\t\t\tcallback(self.deserializeTiddlers(type,text,tiddlerFields,{deserializer: deserializer}));\n\t\t}\n\t};\n\t// Kick off the read\n\tif(isBinary) {\n\t\treader.readAsDataURL(file);\n\t} else {\n\t\treader.readAsText(file);\n\t}\n};\n\n/*\nFind any existing draft of a specified tiddler\n*/\nexports.findDraft = function(targetTitle) {\n\tvar draftTitle = undefined;\n\tthis.forEachTiddler({includeSystem: true},function(title,tiddler) {\n\t\tif(tiddler.fields[\"draft.title\"] && tiddler.fields[\"draft.of\"] === targetTitle) {\n\t\t\tdraftTitle = title;\n\t\t}\n\t});\n\treturn draftTitle;\n}\n\n/*\nCheck whether the specified draft tiddler has been modified.\nIf the original tiddler doesn't exist, create a vanilla tiddler variable,\nto check if additional fields have been added.\n*/\nexports.isDraftModified = function(title) {\n\tvar tiddler = this.getTiddler(title);\n\tif(!tiddler.isDraft()) {\n\t\treturn false;\n\t}\n\tvar ignoredFields = [\"created\", \"modified\", \"title\", \"draft.title\", \"draft.of\"],\n\t\torigTiddler = this.getTiddler(tiddler.fields[\"draft.of\"]) || new $tw.Tiddler({text:\"\", tags:[]}),\n\t\ttitleModified = tiddler.fields[\"draft.title\"] !== tiddler.fields[\"draft.of\"];\n\treturn titleModified || !tiddler.isEqual(origTiddler,ignoredFields);\n};\n\n/*\nAdd a new record to the top of the history stack\ntitle: a title string or an array of title strings\nfromPageRect: page coordinates of the origin of the navigation\nhistoryTitle: title of history tiddler (defaults to $:/HistoryList)\n*/\nexports.addToHistory = function(title,fromPageRect,historyTitle) {\n\tvar story = new $tw.Story({wiki: this, historyTitle: historyTitle});\n\tstory.addToHistory(title,fromPageRect);\t\t\n};\n\n/*\nAdd a new tiddler to the story river\ntitle: a title string or an array of title strings\nfromTitle: the title of the tiddler from which the navigation originated\nstoryTitle: title of story tiddler (defaults to $:/StoryList)\noptions: see story.js\n*/\nexports.addToStory = function(title,fromTitle,storyTitle,options) {\n\tvar story = new $tw.Story({wiki: this, storyTitle: storyTitle});\n\tstory.addToStory(title,fromTitle,options);\t\t\n};\n\n/*\nGenerate a title for the draft of a given tiddler\n*/\nexports.generateDraftTitle = function(title) {\n\tvar c = 0,\n\t\tdraftTitle,\n\t\tusername = this.getTiddlerText(\"$:/status/UserName\"),\n\t\tattribution = username ? \" by \" + username : \"\";\n\tdo {\n\t\tdraftTitle = \"Draft \" + (c ? (c + 1) + \" \" : \"\") + \"of '\" + title + \"'\" + attribution;\n\t\tc++;\n\t} while(this.tiddlerExists(draftTitle));\n\treturn draftTitle;\n};\n\n/*\nInvoke the available upgrader modules\ntitles: array of tiddler titles to be processed\ntiddlers: hashmap by title of tiddler fields of pending import tiddlers. These can be modified by the upgraders. An entry with no fields indicates a tiddler that was pending import has been suppressed. When entries are added to the pending import the tiddlers hashmap may have entries that are not present in the titles array\nReturns a hashmap of messages keyed by tiddler title.\n*/\nexports.invokeUpgraders = function(titles,tiddlers) {\n\t// Collect up the available upgrader modules\n\tvar self = this;\n\tif(!this.upgraderModules) {\n\t\tthis.upgraderModules = [];\n\t\t$tw.modules.forEachModuleOfType(\"upgrader\",function(title,module) {\n\t\t\tif(module.upgrade) {\n\t\t\t\tself.upgraderModules.push(module);\n\t\t\t}\n\t\t});\n\t}\n\t// Invoke each upgrader in turn\n\tvar messages = {};\n\tfor(var t=0; t<this.upgraderModules.length; t++) {\n\t\tvar upgrader = this.upgraderModules[t],\n\t\t\tupgraderMessages = upgrader.upgrade(this,titles,tiddlers);\n\t\t$tw.utils.extend(messages,upgraderMessages);\n\t}\n\treturn messages;\n};\n\n// Determine whether a plugin by title is dynamically loadable\nexports.doesPluginRequireReload = function(title) {\n\treturn this.doesPluginInfoRequireReload(this.getPluginInfo(title) || this.getTiddlerDataCached(title));\n};\n\n// Determine whether a plugin info structure is dynamically loadable\nexports.doesPluginInfoRequireReload = function(pluginInfo) {\n\tif(pluginInfo) {\n\t\tvar foundModule = false;\n\t\t$tw.utils.each(pluginInfo.tiddlers,function(tiddler) {\n\t\t\tif(tiddler.type === \"application/javascript\" && $tw.utils.hop(tiddler,\"module-type\")) {\n\t\t\t\tfoundModule = true;\n\t\t\t}\n\t\t});\n\t\treturn foundModule;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n})();\n\n",
"type": "application/javascript",
"module-type": "wikimethod"
},
"$:/palettes/Blanca": {
"title": "$:/palettes/Blanca",
"name": "Blanca",
"description": "A clean white palette to let you focus",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #66cccc\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #999999\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #ffffff\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #7897f3\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #ccc\nsidebar-foreground-shadow: rgba(255,255,255, 0.8)\nsidebar-foreground: #acacac\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: #ffffff\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #444444\nsidebar-tiddler-link-foreground: #7897f3\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #eeeeee\ntab-border-selected: #cccccc\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #ffeedd\ntag-foreground: #000\ntiddler-background: <<colour background>>\ntiddler-border: #eee\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #ff9900\ntoolbar-new-button:\ntoolbar-options-button:\ntoolbar-save-button:\ntoolbar-info-button:\ntoolbar-edit-button:\ntoolbar-close-button:\ntoolbar-delete-button:\ntoolbar-cancel-button:\ntoolbar-done-button:\nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
},
"$:/palettes/Blue": {
"title": "$:/palettes/Blue",
"name": "Blue",
"description": "A blue theme",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #fff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour foreground>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333353\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #999999\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #ddddff\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #5778d8\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #ffffff\nsidebar-foreground-shadow: rgba(255,255,255, 0.8)\nsidebar-foreground: #acacac\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: <<colour page-background>>\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #444444\nsidebar-tiddler-link-foreground: #5959c0\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: #ccccdd\ntab-border-selected: #ccccdd\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #eeeeff\ntag-foreground: #000\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #666666\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #ffffff\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #ffffff\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #5959c0\ntoolbar-new-button: #5eb95e\ntoolbar-options-button: rgb(128, 88, 165)\ntoolbar-save-button: #0e90d2\ntoolbar-info-button: #0e90d2\ntoolbar-edit-button: rgb(243, 123, 29)\ntoolbar-close-button: #dd514c\ntoolbar-delete-button: #dd514c\ntoolbar-cancel-button: rgb(243, 123, 29)\ntoolbar-done-button: #5eb95e\nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
},
"$:/palettes/Muted": {
"title": "$:/palettes/Muted",
"name": "Muted",
"description": "Bright tiddlers on a muted background",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #bbb\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #6f6f70\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #29a6ee\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #c2c1c2\nsidebar-foreground-shadow: rgba(255,255,255,0)\nsidebar-foreground: #d3d2d4\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: #6f6f70\nsidebar-tab-background: #666667\nsidebar-tab-border-selected: #999\nsidebar-tab-border: #515151\nsidebar-tab-divider: #999\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: #999\nsidebar-tiddler-link-foreground-hover: #444444\nsidebar-tiddler-link-foreground: #d1d0d2\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #d8d8d8\ntab-border-selected: #d8d8d8\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #d5ad34\ntag-foreground: #ffffff\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #182955\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
},
"$:/palettes/ContrastLight": {
"title": "$:/palettes/ContrastLight",
"name": "Contrast (Light)",
"description": "High contrast and unambiguous (light version)",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #f00\nalert-border: <<colour background>>\nalert-highlight: <<colour foreground>>\nalert-muted-foreground: #800\nbackground: #fff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: <<colour background>>\nbutton-foreground: <<colour foreground>>\nbutton-border: <<colour foreground>>\ncode-background: <<colour background>>\ncode-border: <<colour foreground>>\ncode-foreground: <<colour foreground>>\ndirty-indicator: #f00\ndownload-background: #080\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: <<colour foreground>>\ndropdown-tab-background: <<colour foreground>>\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #00a\nexternal-link-foreground: #00e\nforeground: #000\nmessage-background: <<colour foreground>>\nmessage-border: <<colour background>>\nmessage-foreground: <<colour background>>\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: <<colour foreground>>\nmodal-footer-background: <<colour background>>\nmodal-footer-border: <<colour foreground>>\nmodal-header-border: <<colour foreground>>\nmuted-foreground: <<colour foreground>>\nnotification-background: <<colour background>>\nnotification-border: <<colour foreground>>\npage-background: <<colour background>>\npre-background: <<colour background>>\npre-border: <<colour foreground>>\nprimary: #00f\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: <<colour background>>\nsidebar-controls-foreground: <<colour foreground>>\nsidebar-foreground-shadow: rgba(0,0,0, 0)\nsidebar-foreground: <<colour foreground>>\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: <<colour foreground>>\nsidebar-tab-background-selected: <<colour background>>\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: <<colour foreground>>\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: <<colour foreground>>\nsidebar-tiddler-link-foreground: <<colour primary>>\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: <<colour foreground>>\ntab-border-selected: <<colour foreground>>\ntab-border: <<colour foreground>>\ntab-divider: <<colour foreground>>\ntab-foreground-selected: <<colour foreground>>\ntab-foreground: <<colour background>>\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #000\ntag-foreground: #fff\ntiddler-background: <<colour background>>\ntiddler-border: <<colour foreground>>\ntiddler-controls-foreground-hover: #ddd\ntiddler-controls-foreground-selected: #fdd\ntiddler-controls-foreground: <<colour foreground>>\ntiddler-editor-background: <<colour background>>\ntiddler-editor-border-image: <<colour foreground>>\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: <<colour background>>\ntiddler-editor-fields-odd: <<colour background>>\ntiddler-info-background: <<colour background>>\ntiddler-info-border: <<colour foreground>>\ntiddler-info-tab-background: <<colour background>>\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: <<colour foreground>>\ntiddler-title-foreground: <<colour foreground>>\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: <<colour foreground>>\nvery-muted-foreground: #888888\n"
},
"$:/palettes/ContrastDark": {
"title": "$:/palettes/ContrastDark",
"name": "Contrast (Dark)",
"description": "High contrast and unambiguous (dark version)",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #f00\nalert-border: <<colour background>>\nalert-highlight: <<colour foreground>>\nalert-muted-foreground: #800\nbackground: #000\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: <<colour background>>\nbutton-foreground: <<colour foreground>>\nbutton-border: <<colour foreground>>\ncode-background: <<colour background>>\ncode-border: <<colour foreground>>\ncode-foreground: <<colour foreground>>\ndirty-indicator: #f00\ndownload-background: #080\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: <<colour foreground>>\ndropdown-tab-background: <<colour foreground>>\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #00a\nexternal-link-foreground: #00e\nforeground: #fff\nmessage-background: <<colour foreground>>\nmessage-border: <<colour background>>\nmessage-foreground: <<colour background>>\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: <<colour foreground>>\nmodal-footer-background: <<colour background>>\nmodal-footer-border: <<colour foreground>>\nmodal-header-border: <<colour foreground>>\nmuted-foreground: <<colour foreground>>\nnotification-background: <<colour background>>\nnotification-border: <<colour foreground>>\npage-background: <<colour background>>\npre-background: <<colour background>>\npre-border: <<colour foreground>>\nprimary: #00f\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: <<colour background>>\nsidebar-controls-foreground: <<colour foreground>>\nsidebar-foreground-shadow: rgba(0,0,0, 0)\nsidebar-foreground: <<colour foreground>>\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: <<colour foreground>>\nsidebar-tab-background-selected: <<colour background>>\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: <<colour foreground>>\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: <<colour foreground>>\nsidebar-tiddler-link-foreground: <<colour primary>>\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: <<colour foreground>>\ntab-border-selected: <<colour foreground>>\ntab-border: <<colour foreground>>\ntab-divider: <<colour foreground>>\ntab-foreground-selected: <<colour foreground>>\ntab-foreground: <<colour background>>\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #fff\ntag-foreground: #000\ntiddler-background: <<colour background>>\ntiddler-border: <<colour foreground>>\ntiddler-controls-foreground-hover: #ddd\ntiddler-controls-foreground-selected: #fdd\ntiddler-controls-foreground: <<colour foreground>>\ntiddler-editor-background: <<colour background>>\ntiddler-editor-border-image: <<colour foreground>>\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: <<colour background>>\ntiddler-editor-fields-odd: <<colour background>>\ntiddler-info-background: <<colour background>>\ntiddler-info-border: <<colour foreground>>\ntiddler-info-tab-background: <<colour background>>\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: <<colour foreground>>\ntiddler-title-foreground: <<colour foreground>>\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: <<colour foreground>>\nvery-muted-foreground: #888888\n"
},
"$:/palettes/DarkPhotos": {
"title": "$:/palettes/DarkPhotos",
"created": "20150402111612188",
"description": "Good with dark photo backgrounds",
"modified": "20150402112344080",
"name": "DarkPhotos",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: \nbutton-foreground: \nbutton-border: \ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #ddd\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #336438\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #5778d8\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #ccf\nsidebar-controls-foreground: #fff\nsidebar-foreground-shadow: rgba(0,0,0, 0.5)\nsidebar-foreground: #fff\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #eee\nsidebar-tab-background-selected: rgba(255,255,255, 0.8)\nsidebar-tab-background: rgba(255,255,255, 0.4)\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: rgba(255,255,255, 0.2)\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #aaf\nsidebar-tiddler-link-foreground: #ddf\nsite-title-foreground: #fff\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #d8d8d8\ntab-border-selected: #d8d8d8\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #ec6\ntag-foreground: #ffffff\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #182955\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
},
"$:/palettes/GruvboxDark": {
"title": "$:/palettes/GruvboxDark",
"name": "Gruvbox Dark",
"description": "Retro groove color scheme",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"license": "https://github.com/morhetz/gruvbox",
"text": "alert-background: #cc241d\nalert-border: #cc241d\nalert-highlight: #d79921\nalert-muted-foreground: #504945\nbackground: #3c3836\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: #504945\nbutton-foreground: #fbf1c7\nbutton-border: transparent\ncode-background: #504945\ncode-border: #504945\ncode-foreground: #fb4934\ndiff-delete-background: #fb4934\ndiff-delete-foreground: <<colour foreground>>\ndiff-equal-background: \ndiff-equal-foreground: <<colour foreground>>\ndiff-insert-background: #b8bb26\ndiff-insert-foreground: <<colour foreground>>\ndiff-invisible-background: \ndiff-invisible-foreground: <<colour muted-foreground>>\ndirty-indicator: #fb4934\ndownload-background: #b8bb26\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: #665c54\ndropdown-border: <<colour background>>\ndropdown-tab-background-selected: #ebdbb2\ndropdown-tab-background: #665c54\ndropzone-background: #98971a\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #d3869b\nexternal-link-foreground: #8ec07c\nforeground: #fbf1c7\nmenubar-background: #504945\nmenubar-foreground: <<colour foreground>>\nmessage-background: #83a598\nmessage-border: #83a598\nmessage-foreground: #3c3836\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #504945\nmodal-footer-background: #3c3836\nmodal-footer-border: #3c3836\nmodal-header-border: #3c3836\nmuted-foreground: #d5c4a1\nnotification-background: <<colour primary>>\nnotification-border: <<colour primary>>\npage-background: #282828\npre-background: #504945\npre-border: #504945\nprimary: #d79921\nselect-tag-background: #665c54\nselect-tag-foreground: <<colour foreground>>\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #7c6f64\nsidebar-controls-foreground: #504945\nsidebar-foreground-shadow: transparent\nsidebar-foreground: #fbf1c7\nsidebar-muted-foreground-hover: #7c6f64\nsidebar-muted-foreground: #504945\nsidebar-tab-background-selected: #bdae93\nsidebar-tab-background: #3c3836\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: #bdae93\nsidebar-tab-divider: <<colour page-background>>\nsidebar-tab-foreground-selected: #282828\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #458588\nsidebar-tiddler-link-foreground: #98971a\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #B48EAD\ntab-background-selected: #ebdbb2\ntab-background: #665c54\ntab-border-selected: #665c54\ntab-border: #665c54\ntab-divider: #bdae93\ntab-foreground-selected: #282828\ntab-foreground: #ebdbb2\ntable-border: #7c6f64\ntable-footer-background: #665c54\ntable-header-background: #504945\ntag-background: #d3869b\ntag-foreground: #282828\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #7c6f64\ntiddler-controls-foreground-selected: #7c6f64\ntiddler-controls-foreground: #665c54\ntiddler-editor-background: #282828\ntiddler-editor-border-image: #282828\ntiddler-editor-border: #282828\ntiddler-editor-fields-even: #504945\ntiddler-editor-fields-odd: #7c6f64\ntiddler-info-background: #32302f\ntiddler-info-border: #ebdbb2\ntiddler-info-tab-background: #ebdbb2\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #7c6f64\ntiddler-title-foreground: #a89984\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #504945\nvery-muted-foreground: #bdae93\nwikilist-background: <<colour page-background>>\nwikilist-button-background: <<colour button-background>>\nwikilist-button-foreground: <<colour button-foreground>>\nwikilist-item: <<colour background>>\nwikilist-toolbar-background: <<colour background>>\nwikilist-toolbar-foreground: <<colour foreground>>\nwikilist-title: <<colour foreground>>\nwikilist-title-svg: <<colour wikilist-title>>\nwikilist-url: <<colour muted-foreground>>\nwikilist-button-open-hover: <<colour primary>>\nwikilist-button-open: <<colour dropzone-background>>\nwikilist-button-remove: <<colour dirty-indicator>>\nwikilist-button-remove-hover: <<colour alert-background>>\nwikilist-droplink-dragover: <<colour dropzone-background>>\nwikilist-button-reveal: <<colour sidebar-tiddler-link-foreground-hover>>\nwikilist-button-reveal-hover: <<colour message-background>>"
},
"$:/palettes/Nord": {
"title": "$:/palettes/Nord",
"name": "Nord",
"description": "An arctic, north-bluish color palette.",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"license": "MIT, arcticicestudio, https://github.com/arcticicestudio/nord/blob/develop/LICENSE.md",
"text": "alert-background: #D08770\nalert-border: #D08770\nalert-highlight: #B48EAD\nalert-muted-foreground: #4C566A\nbackground: #3b4252\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: #4C566A\nbutton-foreground: #D8DEE9\nbutton-border: transparent\ncode-background: #2E3440\ncode-border: #2E3440\ncode-foreground: #BF616A\ndiff-delete-background: #BF616A\ndiff-delete-foreground: <<colour foreground>>\ndiff-equal-background: \ndiff-equal-foreground: <<colour foreground>>\ndiff-insert-background: #A3BE8C\ndiff-insert-foreground: <<colour foreground>>\ndiff-invisible-background: \ndiff-invisible-foreground: <<colour muted-foreground>>\ndirty-indicator: #BF616A\ndownload-background: #A3BE8C\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour background>>\ndropdown-tab-background-selected: #ECEFF4\ndropdown-tab-background: #4C566A\ndropzone-background: #A3BE8C\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #5E81AC\nexternal-link-foreground: #8FBCBB\nforeground: #d8dee9\nmenubar-background: #2E3440\nmenubar-foreground: #d8dee9\nmessage-background: #2E3440\nmessage-border: #2E3440\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #3b4252\nmodal-footer-background: #3b4252\nmodal-footer-border: #3b4252\nmodal-header-border: #3b4252\nmuted-foreground: #4C566A\nnotification-background: <<colour primary>>\nnotification-border: #EBCB8B\npage-background: #2e3440\npre-background: #2E3440\npre-border: #2E3440\nprimary: #5E81AC\nselect-tag-background: #3b4252\nselect-tag-foreground: <<colour foreground>>\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #D8DEE9\nsidebar-controls-foreground: #4C566A\nsidebar-foreground-shadow: transparent\nsidebar-foreground: #D8DEE9\nsidebar-muted-foreground-hover: #4C566A\nsidebar-muted-foreground: #4C566A\nsidebar-tab-background-selected: #ECEFF4\nsidebar-tab-background: #4C566A\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: #4C566A\nsidebar-tab-divider: <<colour page-background>>\nsidebar-tab-foreground-selected: #4C566A\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #A3BE8C\nsidebar-tiddler-link-foreground: #81A1C1\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #B48EAD\ntab-background-selected: #ECEFF4\ntab-background: #4C566A\ntab-border-selected: #4C566A\ntab-border: #4C566A\ntab-divider: #4C566A\ntab-foreground-selected: #4C566A\ntab-foreground: #D8DEE9\ntable-border: #4C566A\ntable-footer-background: #2e3440\ntable-header-background: #2e3440\ntag-background: #A3BE8C\ntag-foreground: #4C566A\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: \ntiddler-controls-foreground-selected: #EBCB8B\ntiddler-controls-foreground: #4C566A\ntiddler-editor-background: #2e3440\ntiddler-editor-border-image: #2e3440\ntiddler-editor-border: #2e3440\ntiddler-editor-fields-even: #2e3440\ntiddler-editor-fields-odd: #2e3440\ntiddler-info-background: #2e3440\ntiddler-info-border: #2e3440\ntiddler-info-tab-background: #2e3440\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #4C566A\ntiddler-title-foreground: #81A1C1\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #2d3038\nvery-muted-foreground: #2d3038\n"
},
"$:/palettes/Rocker": {
"title": "$:/palettes/Rocker",
"name": "Rocker",
"description": "A dark theme",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #999999\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #000\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #cc0000\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #ffffff\nsidebar-foreground-shadow: rgba(255,255,255, 0.0)\nsidebar-foreground: #acacac\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: #000\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #ffbb99\nsidebar-tiddler-link-foreground: #cc0000\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #d8d8d8\ntab-border-selected: #d8d8d8\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #ffbb99\ntag-foreground: #000\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #cc0000\ntoolbar-new-button:\ntoolbar-options-button:\ntoolbar-save-button:\ntoolbar-info-button:\ntoolbar-edit-button:\ntoolbar-close-button:\ntoolbar-delete-button:\ntoolbar-cancel-button:\ntoolbar-done-button:\nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
},
"$:/palettes/SolarFlare": {
"title": "$:/palettes/SolarFlare",
"name": "Solar Flare",
"description": "Warm, relaxing earth colours",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": ": Background Tones\n\nbase03: #002b36\nbase02: #073642\n\n: Content Tones\n\nbase01: #586e75\nbase00: #657b83\nbase0: #839496\nbase1: #93a1a1\n\n: Background Tones\n\nbase2: #eee8d5\nbase3: #fdf6e3\n\n: Accent Colors\n\nyellow: #b58900\norange: #cb4b16\nred: #dc322f\nmagenta: #d33682\nviolet: #6c71c4\nblue: #268bd2\ncyan: #2aa198\ngreen: #859900\n\n: Additional Tones (RA)\n\nbase10: #c0c4bb\nviolet-muted: #7c81b0\nblue-muted: #4e7baa\n\nyellow-hot: #ffcc44\norange-hot: #eb6d20\nred-hot: #ff2222\nblue-hot: #2298ee\ngreen-hot: #98ee22\n\n: Palette\n\n: Do not use colour macro for background and foreground\nbackground: #fdf6e3\n download-foreground: <<colour background>>\n dragger-foreground: <<colour background>>\n dropdown-background: <<colour background>>\n modal-background: <<colour background>>\n sidebar-foreground-shadow: <<colour background>>\n tiddler-background: <<colour background>>\n tiddler-border: <<colour background>>\n tiddler-link-background: <<colour background>>\n tab-background-selected: <<colour background>>\n dropdown-tab-background-selected: <<colour tab-background-selected>>\nforeground: #657b83\n dragger-background: <<colour foreground>>\n tab-foreground: <<colour foreground>>\n tab-foreground-selected: <<colour tab-foreground>>\n sidebar-tab-foreground-selected: <<colour tab-foreground-selected>>\n sidebar-tab-foreground: <<colour tab-foreground>>\n sidebar-button-foreground: <<colour foreground>>\n sidebar-controls-foreground: <<colour foreground>>\n sidebar-foreground: <<colour foreground>>\n: base03\n: base02\n: base01\n alert-muted-foreground: <<colour base01>>\n: base00\n code-foreground: <<colour base00>>\n message-foreground: <<colour base00>>\n tag-foreground: <<colour base00>>\n: base0\n sidebar-tiddler-link-foreground: <<colour base0>>\n: base1\n muted-foreground: <<colour base1>>\n blockquote-bar: <<colour muted-foreground>>\n dropdown-border: <<colour muted-foreground>>\n sidebar-muted-foreground: <<colour muted-foreground>>\n tiddler-title-foreground: <<colour muted-foreground>>\n site-title-foreground: <<colour tiddler-title-foreground>>\n: base2\n modal-footer-background: <<colour base2>>\n page-background: <<colour base2>>\n modal-backdrop: <<colour page-background>>\n notification-background: <<colour page-background>>\n code-background: <<colour page-background>>\n code-border: <<colour code-background>>\n pre-background: <<colour page-background>>\n pre-border: <<colour pre-background>>\n sidebar-tab-background-selected: <<colour page-background>>\n table-header-background: <<colour base2>>\n tag-background: <<colour base2>>\n tiddler-editor-background: <<colour base2>>\n tiddler-info-background: <<colour base2>>\n tiddler-info-tab-background: <<colour base2>>\n tab-background: <<colour base2>>\n dropdown-tab-background: <<colour tab-background>>\n: base3\n alert-background: <<colour base3>>\n message-background: <<colour base3>>\n: yellow\n: orange\n: red\n: magenta\n alert-highlight: <<colour magenta>>\n: violet\n external-link-foreground: <<colour violet>>\n: blue\n: cyan\n: green\n: base10\n tiddler-controls-foreground: <<colour base10>>\n: violet-muted\n external-link-foreground-visited: <<colour violet-muted>>\n: blue-muted\n primary: <<colour blue-muted>>\n download-background: <<colour primary>>\n tiddler-link-foreground: <<colour primary>>\n\nalert-border: #b99e2f\ndirty-indicator: #ff0000\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nmessage-border: #cfd6e6\nmodal-border: #999999\nselect-tag-background:\nselect-tag-foreground:\nsidebar-controls-foreground-hover:\nsidebar-muted-foreground-hover:\nsidebar-tab-background: #ded8c5\nsidebar-tiddler-link-foreground-hover:\nstatic-alert-foreground: #aaaaaa\ntab-border: #cccccc\n modal-footer-border: <<colour tab-border>>\n modal-header-border: <<colour tab-border>>\n notification-border: <<colour tab-border>>\n sidebar-tab-border: <<colour tab-border>>\n tab-border-selected: <<colour tab-border>>\n sidebar-tab-border-selected: <<colour tab-border-selected>>\ntab-divider: #d8d8d8\n sidebar-tab-divider: <<colour tab-divider>>\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-border: #dddddd\ntiddler-subtitle-foreground: #c0c0c0\ntoolbar-new-button:\ntoolbar-options-button:\ntoolbar-save-button:\ntoolbar-info-button:\ntoolbar-edit-button:\ntoolbar-close-button:\ntoolbar-delete-button:\ntoolbar-cancel-button:\ntoolbar-done-button:\nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
},
"$:/palettes/SolarizedLight": {
"title": "$:/palettes/SolarizedLight",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"description": "Precision colors for machines and people",
"license": "MIT, Ethan Schoonover, https://github.com/altercation/solarized/blob/master/LICENSE",
"name": "SolarizedLight",
"text": "alert-background: #eee8d5\nalert-border: #073642\nalert-highlight: #cb4b16\nalert-muted-foreground: #586e75\nbackground: #fdf6e3\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: #cb4b16\nbutton-foreground: #fdf6e3\nbutton-border: transparent\ncode-background: #eee8d5\ncode-border: #93a1a1\ncode-foreground: #d33682\ndiff-delete-background: #BF616A\ndiff-delete-foreground: <<colour foreground>>\ndiff-equal-background: \ndiff-equal-foreground: <<colour foreground>>\ndiff-insert-background: #859900\ndiff-insert-foreground: <<colour foreground>>\ndiff-invisible-background: \ndiff-invisible-foreground: <<colour muted-foreground>>\ndirty-indicator: #D08770\ndownload-background: #859900\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour background>>\ndropdown-tab-background-selected: #fdf6e3\ndropdown-tab-background: #93a1a1\ndropzone-background: #859900\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: #d33682\nexternal-link-foreground-visited: #b58900\nexternal-link-foreground: #cb4b16\nforeground: #839496\nmessage-background: #586e75\nmessage-border: #586e75\nmessage-foreground: #eee8d5\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #eee8d5\nmodal-footer-background: #eee8d5\nmodal-footer-border: #eee8d5\nmodal-header-border: #eee8d5\nmuted-foreground: #93a1a1\nnotification-background: #EBCB8B\nnotification-border: #D08770\npage-background: #eee8d5\npre-background: #eee8d5\npre-border: #93a1a1\nprimary: #2aa198\nselect-tag-background: #eee8d5\nselect-tag-foreground: <<colour foreground>>\nsidebar-button-foreground: #eee8d5\nsidebar-controls-foreground-hover: #268bd2\nsidebar-controls-foreground: #586e75\nsidebar-foreground-shadow: transparent\nsidebar-foreground: #839496\nsidebar-muted-foreground-hover: #657b83\nsidebar-muted-foreground: #93a1a1\nsidebar-tab-background-selected: #eee8d5\nsidebar-tab-background: #839496\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: #657b83\nsidebar-tab-divider: <<colour page-background>>\nsidebar-tab-foreground-selected: #839496\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #859900\nsidebar-tiddler-link-foreground: #268bd2\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #dc322f\ntab-background-selected: #fdf6e3\ntab-background: #839496\ntab-border-selected: #93a1a1\ntab-border: #93a1a1\ntab-divider: #fdf6e3\ntab-foreground-selected: #839496\ntab-foreground: #eee8d5\ntable-border: #657b83\ntable-footer-background: #657b83\ntable-header-background: #93a1a1\ntag-background: #6c71c4\ntag-foreground: #eee8d5\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #b58900\ntiddler-controls-foreground-selected: #b58900\ntiddler-controls-foreground: #073642\ntiddler-editor-background: #eee8d5\ntiddler-editor-border-image: #eee8d5\ntiddler-editor-border: #eee8d5\ntiddler-editor-fields-even: #eee8d5\ntiddler-editor-fields-odd: #fdf6e3\ntiddler-info-background: #eee8d5\ntiddler-info-border: #eee8d5\ntiddler-info-tab-background: #586e75\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #586e75\ntiddler-title-foreground: #073642\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #839496\nvery-muted-foreground: #93a1a1\n"
},
"$:/palettes/SpartanDay": {
"title": "$:/palettes/SpartanDay",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"description": "Cold, spartan day colors",
"name": "Spartan Day",
"text": "alert-background: <<colour background>>\nalert-border: <<colour very-muted-foreground>>\nalert-highlight: <<colour very-muted-foreground>>\nalert-muted-foreground: <<colour muted-foreground>>\nbackground: #FAFAFA\nblockquote-bar: <<colour page-background>>\nbutton-background: transparent\nbutton-foreground: inherit\nbutton-border: <<colour tag-background>>\ncode-background: #ececec\ncode-border: #ececec\ncode-foreground: \ndirty-indicator: #c80000\ndownload-background: <<colour primary>>\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: #FFFFFF\ndropdown-border: <<colour dropdown-background>>\ndropdown-tab-background-selected: <<colour dropdown-background>>\ndropdown-tab-background: #F5F5F5\ndropzone-background: <<colour tag-background>>\nexternal-link-background-hover: transparent\nexternal-link-background-visited: transparent\nexternal-link-background: transparent\nexternal-link-foreground-hover: \nexternal-link-foreground-visited: \nexternal-link-foreground: \nforeground: rgba(0, 0, 0, 0.87)\nmessage-background: <<colour background>>\nmessage-border: <<colour very-muted-foreground>>\nmessage-foreground: rgba(0, 0, 0, 0.54)\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: <<colour very-muted-foreground>>\nmodal-footer-background: <<colour background>>\nmodal-footer-border: <<colour very-muted-foreground>>\nmodal-header-border: <<colour very-muted-foreground>>\nmuted-foreground: rgba(0, 0, 0, 0.54)\nnotification-background: <<colour dropdown-background>>\nnotification-border: <<colour dropdown-background>>\npage-background: #f4f4f4\npre-background: #ececec\npre-border: #ececec\nprimary: #3949ab\nselect-tag-background: <<colour background>>\nselect-tag-foreground: <<colour foreground>>\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #aeaeae\nsidebar-controls-foreground: #c6c6c6\nsidebar-foreground-shadow: transparent\nsidebar-foreground: rgba(0, 0, 0, 0.54)\nsidebar-muted-foreground-hover: rgba(0, 0, 0, 0.54)\nsidebar-muted-foreground: rgba(0, 0, 0, 0.38)\nsidebar-tab-background-selected: <<colour page-background>>\nsidebar-tab-background: transparent\nsidebar-tab-border-selected: <<colour table-border>>\nsidebar-tab-border: transparent\nsidebar-tab-divider: <<colour table-border>>\nsidebar-tab-foreground-selected: rgba(0, 0, 0, 0.87)\nsidebar-tab-foreground: rgba(0, 0, 0, 0.54)\nsidebar-tiddler-link-foreground-hover: rgba(0, 0, 0, 0.87)\nsidebar-tiddler-link-foreground: rgba(0, 0, 0, 0.54)\nsite-title-foreground: rgba(0, 0, 0, 0.87)\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: transparent\ntab-border-selected: <<colour table-border>>\ntab-border: transparent\ntab-divider: <<colour table-border>>\ntab-foreground-selected: rgba(0, 0, 0, 0.87)\ntab-foreground: rgba(0, 0, 0, 0.54)\ntable-border: #d8d8d8\ntable-footer-background: <<colour tiddler-editor-fields-odd>>\ntable-header-background: <<colour tiddler-editor-fields-even>>\ntag-background: #ec6\ntag-foreground: <<colour button-foreground>>\ntiddler-background: <<colour background>>\ntiddler-border: #f9f9f9\ntiddler-controls-foreground-hover: <<colour sidebar-controls-foreground-hover>>\ntiddler-controls-foreground-selected: <<colour sidebar-controls-foreground-hover>>\ntiddler-controls-foreground: <<colour sidebar-controls-foreground>>\ntiddler-editor-background: transparent\ntiddler-editor-border-image: \ntiddler-editor-border: #e8e7e7\ntiddler-editor-fields-even: rgba(0, 0, 0, 0.1)\ntiddler-editor-fields-odd: rgba(0, 0, 0, 0.04)\ntiddler-info-background: #F5F5F5\ntiddler-info-border: #F5F5F5\ntiddler-info-tab-background: <<colour tiddler-editor-fields-odd>>\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: <<colour muted-foreground>>\ntiddler-title-foreground: #000000\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: <<colour very-muted-foreground>>\nvery-muted-foreground: rgba(0, 0, 0, 0.12)\n"
},
"$:/palettes/SpartanNight": {
"title": "$:/palettes/SpartanNight",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"description": "Dark spartan colors",
"name": "Spartan Night",
"text": "alert-background: <<colour background>>\nalert-border: <<colour very-muted-foreground>>\nalert-highlight: <<colour very-muted-foreground>>\nalert-muted-foreground: <<colour muted-foreground>>\nbackground: #303030\nblockquote-bar: <<colour page-background>>\nbutton-background: transparent\nbutton-foreground: inherit\nbutton-border: <<colour tag-background>>\ncode-background: <<colour pre-background>>\ncode-border: <<colour pre-border>>\ncode-foreground: rgba(255, 255, 255, 0.54)\ndirty-indicator: #c80000\ndownload-background: <<colour primary>>\ndownload-foreground: <<colour foreground>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: #424242\ndropdown-border: <<colour dropdown-background>>\ndropdown-tab-background-selected: <<colour dropdown-background>>\ndropdown-tab-background: #050505\ndropzone-background: <<colour tag-background>>\nexternal-link-background-hover: transparent\nexternal-link-background-visited: transparent\nexternal-link-background: transparent\nexternal-link-foreground-hover: \nexternal-link-foreground-visited: #7c318c\nexternal-link-foreground: #9e3eb3\nforeground: rgba(255, 255, 255, 0.7)\nmessage-background: <<colour background>>\nmessage-border: <<colour very-muted-foreground>>\nmessage-foreground: rgba(255, 255, 255, 0.54)\nmodal-backdrop: <<colour page-background>>\nmodal-background: <<colour background>>\nmodal-border: <<colour very-muted-foreground>>\nmodal-footer-background: <<colour background>>\nmodal-footer-border: <<colour background>>\nmodal-header-border: <<colour very-muted-foreground>>\nmuted-foreground: rgba(255, 255, 255, 0.54)\nnotification-background: <<colour dropdown-background>>\nnotification-border: <<colour dropdown-background>>\npage-background: #212121\npre-background: #2a2a2a\npre-border: transparent\nprimary: #5656f3\nselect-tag-background: <<colour background>>\nselect-tag-foreground: <<colour foreground>>\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #494949\nsidebar-controls-foreground: #5d5d5d\nsidebar-foreground-shadow: transparent\nsidebar-foreground: rgba(255, 255, 255, 0.54)\nsidebar-muted-foreground-hover: rgba(255, 255, 255, 0.54)\nsidebar-muted-foreground: rgba(255, 255, 255, 0.38)\nsidebar-tab-background-selected: <<colour page-background>>\nsidebar-tab-background: transparent\nsidebar-tab-border-selected: <<colour table-border>>\nsidebar-tab-border: transparent\nsidebar-tab-divider: <<colour table-border>>\nsidebar-tab-foreground-selected: rgba(255, 255, 255, 0.87)\nsidebar-tab-foreground: rgba(255, 255, 255, 0.54)\nsidebar-tiddler-link-foreground-hover: rgba(255, 255, 255, 0.7)\nsidebar-tiddler-link-foreground: rgba(255, 255, 255, 0.54)\nsite-title-foreground: rgba(255, 255, 255, 0.7)\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: transparent\ntab-border-selected: <<colour table-border>>\ntab-border: transparent\ntab-divider: <<colour table-border>>\ntab-foreground-selected: rgba(255, 255, 255, 0.87)\ntab-foreground: rgba(255, 255, 255, 0.54)\ntable-border: #3a3a3a\ntable-footer-background: <<colour tiddler-editor-fields-odd>>\ntable-header-background: <<colour tiddler-editor-fields-even>>\ntag-background: #ec6\ntag-foreground: <<colour button-foreground>>\ntiddler-background: <<colour background>>\ntiddler-border: rgb(55,55,55)\ntiddler-controls-foreground-hover: <<colour sidebar-controls-foreground-hover>>\ntiddler-controls-foreground-selected: <<colour sidebar-controls-foreground-hover>>\ntiddler-controls-foreground: <<colour sidebar-controls-foreground>>\ntiddler-editor-background: transparent\ntiddler-editor-border-image: \ntiddler-editor-border: rgba(255, 255, 255, 0.08)\ntiddler-editor-fields-even: rgba(255, 255, 255, 0.1)\ntiddler-editor-fields-odd: rgba(255, 255, 255, 0.04)\ntiddler-info-background: #454545\ntiddler-info-border: #454545\ntiddler-info-tab-background: <<colour tiddler-editor-fields-odd>>\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: <<colour muted-foreground>>\ntiddler-title-foreground: #FFFFFF\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: <<colour very-muted-foreground>>\nvery-muted-foreground: rgba(255, 255, 255, 0.12)\n"
},
"$:/palettes/Twilight": {
"title": "$:/palettes/Twilight",
"tags": "$:/tags/Palette",
"author": "Thomas Elmiger",
"type": "application/x-tiddler-dictionary",
"name": "Twilight",
"description": "Delightful, soft darkness.",
"text": "alert-background: rgb(255, 255, 102)\nalert-border: rgb(232, 232, 125)\nalert-highlight: rgb(255, 51, 51)\nalert-muted-foreground: rgb(224, 82, 82)\nbackground: rgb(38, 38, 38)\nblockquote-bar: rgba(240, 196, 117, 0.7)\nbutton-background: rgb(63, 63, 63)\nbutton-border: rgb(127, 127, 127)\nbutton-foreground: rgb(179, 179, 179)\ncode-background: rgba(0,0,0,0.03)\ncode-border: rgba(0,0,0,0.08)\ncode-foreground: rgb(255, 94, 94)\ndiff-delete-background: #ffc9c9\ndiff-delete-foreground: <<colour foreground>>\ndiff-equal-background: \ndiff-equal-foreground: <<colour foreground>>\ndiff-insert-background: #aaefad\ndiff-insert-foreground: <<colour foreground>>\ndiff-invisible-background: \ndiff-invisible-foreground: <<colour muted-foreground>>\ndirty-indicator: rgb(255, 94, 94)\ndownload-background: #19a974\ndownload-foreground: rgb(38, 38, 38)\ndragger-background: rgb(179, 179, 179)\ndragger-foreground: rgb(38, 38, 38)\ndropdown-background: rgb(38, 38, 38)\ndropdown-border: rgb(255, 255, 255)\ndropdown-tab-background: rgba(0,0,0,.1)\ndropdown-tab-background-selected: rgba(255,255,255,1)\ndropzone-background: #9eebcf\nexternal-link-background: inherit\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-foreground: rgb(179, 179, 255)\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: rgb(153, 153, 255)\nforeground: rgb(179, 179, 179)\nmessage-background: <<colour tag-foreground>>\nmessage-border: #96ccff\nmessage-foreground: <<colour tag-background>>\nmodal-backdrop: rgb(179, 179, 179)\nmodal-background: rgb(38, 38, 38)\nmodal-border: rgba(0,0,0,.5)\nmodal-footer-background: #f4f4f4\nmodal-footer-border: rgba(0,0,0,.1)\nmodal-header-border: rgba(0,0,0,.2)\nmuted-foreground: rgb(255, 255, 255)\nnotification-background: <<colour tag-foreground>>\nnotification-border: <<colour tag-background>>\npage-background: rgb(26, 26, 26)\npre-background: rgb(25, 25, 25)\npre-border: rgba(0,0,0,.2)\nprimary: rgb(255, 201, 102)\nselect-tag-background: \nselect-tag-foreground: \nsidebar-button-foreground: rgb(179, 179, 179)\nsidebar-controls-foreground: rgb(153, 153, 153)\nsidebar-controls-foreground-hover: <<colour tiddler-controls-foreground-hover>>\nsidebar-foreground: rgb(141, 141, 141)\nsidebar-foreground-shadow: transparent\nsidebar-muted-foreground: rgba(0, 0, 0, 0.5)\nsidebar-muted-foreground-hover: rgb(141, 141, 141)\nsidebar-tab-background: rgba(141, 141, 141, 0.2)\nsidebar-tab-background-selected: rgb(26, 26, 26)\nsidebar-tab-border: rgb(127, 127, 127)\nsidebar-tab-border-selected: rgb(127, 127, 127)\nsidebar-tab-divider: rgb(127, 127, 127)\nsidebar-tab-foreground: rgb(179, 179, 179)\nsidebar-tab-foreground-selected: rgb(179, 179, 179)\nsidebar-tiddler-link-foreground: rgb(179, 179, 179)\nsidebar-tiddler-link-foreground-hover: rgb(115, 115, 115)\nsite-title-foreground: rgb(255, 201, 102)\nstatic-alert-foreground: rgba(0,0,0,.3)\ntab-background: rgba(0,0,0,0.125)\ntab-background-selected: rgb(38, 38, 38)\ntab-border: rgb(255, 201, 102)\ntab-border-selected: rgb(255, 201, 102)\ntab-divider: rgb(255, 201, 102)\ntab-foreground: rgb(179, 179, 179)\ntab-foreground-selected: rgb(179, 179, 179)\ntable-border: rgba(255,255,255,.3)\ntable-footer-background: rgba(0,0,0,.4)\ntable-header-background: rgba(0,0,0,.1)\ntag-background: rgb(255, 201, 102)\ntag-foreground: rgb(25, 25, 25)\ntiddler-background: rgb(38, 38, 38)\ntiddler-border: rgba(240, 196, 117, 0.7)\ntiddler-controls-foreground: rgb(128, 128, 128)\ntiddler-controls-foreground-hover: rgba(255, 255, 255, 0.8)\ntiddler-controls-foreground-selected: rgba(255, 255, 255, 0.9)\ntiddler-editor-background: rgb(33, 33, 33)\ntiddler-editor-border: rgb(63, 63, 63)\ntiddler-editor-border-image: rgb(25, 25, 25)\ntiddler-editor-fields-even: rgb(33, 33, 33)\ntiddler-editor-fields-odd: rgb(28, 28, 28)\ntiddler-info-background: rgb(43, 43, 43)\ntiddler-info-border: rgb(25, 25, 25)\ntiddler-info-tab-background: rgb(43, 43, 43)\ntiddler-link-background: rgb(38, 38, 38)\ntiddler-link-foreground: rgb(204, 204, 255)\ntiddler-subtitle-foreground: rgb(255, 255, 255)\ntiddler-title-foreground: rgb(255, 192, 76)\ntoolbar-cancel-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-done-button: \ntoolbar-edit-button: \ntoolbar-info-button: \ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \nuntagged-background: rgb(255, 255, 255)\nvery-muted-foreground: rgba(240, 196, 117, 0.7)\n"
},
"$:/palettes/Vanilla": {
"title": "$:/palettes/Vanilla",
"name": "Vanilla",
"description": "Pale and unobtrusive",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndiff-delete-background: #ffc9c9\ndiff-delete-foreground: <<colour foreground>>\ndiff-equal-background: \ndiff-equal-foreground: <<colour foreground>>\ndiff-insert-background: #aaefad\ndiff-insert-foreground: <<colour foreground>>\ndiff-invisible-background: \ndiff-invisible-foreground: <<colour muted-foreground>>\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #bbb\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #f4f4f4\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #5778d8\nselect-tag-background:\nselect-tag-foreground:\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #aaaaaa\nsidebar-foreground-shadow: rgba(255,255,255, 0.8)\nsidebar-foreground: #acacac\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: #f4f4f4\nsidebar-tab-background: #e0e0e0\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: #e4e4e4\nsidebar-tab-foreground-selected:\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #444444\nsidebar-tiddler-link-foreground: #999999\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #d8d8d8\ntab-border-selected: #d8d8d8\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #ec6\ntag-foreground: #ffffff\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #182955\ntoolbar-new-button:\ntoolbar-options-button:\ntoolbar-save-button:\ntoolbar-info-button:\ntoolbar-edit-button:\ntoolbar-close-button:\ntoolbar-delete-button:\ntoolbar-cancel-button:\ntoolbar-done-button:\nuntagged-background: #999999\nvery-muted-foreground: #888888\nwikilist-background: #e5e5e5\nwikilist-item: #fff\nwikilist-info: #000\nwikilist-title: #666\nwikilist-title-svg: <<colour wikilist-title>>\nwikilist-url: #aaa\nwikilist-button-open: #4fb82b\nwikilist-button-open-hover: green\nwikilist-button-reveal: #5778d8\nwikilist-button-reveal-hover: blue\nwikilist-button-remove: #d85778\nwikilist-button-remove-hover: red\nwikilist-toolbar-background: #d3d3d3\nwikilist-toolbar-foreground: #888\nwikilist-droplink-dragover: rgba(255,192,192,0.5)\nwikilist-button-background: #acacac\nwikilist-button-foreground: #000\n"
},
"$:/core/readme": {
"title": "$:/core/readme",
"text": "This plugin contains TiddlyWiki's core components, comprising:\n\n* JavaScript code modules\n* Icons\n* Templates needed to create TiddlyWiki's user interface\n* British English (''en-GB'') translations of the localisable strings used by the core\n"
},
"$:/library/sjcl.js/license": {
"title": "$:/library/sjcl.js/license",
"type": "text/plain",
"text": "SJCL is open. You can use, modify and redistribute it under a BSD\nlicense or under the GNU GPL, version 2.0.\n\n---------------------------------------------------------------------\n\nhttp://opensource.org/licenses/BSD-2-Clause\n\nCopyright (c) 2009-2015, Emily Stark, Mike Hamburg and Dan Boneh at\nStanford University. All rights reserved.\n\nRedistribution and use in source and binary forms, with or without\nmodification, are permitted provided that the following conditions are\nmet:\n\n1. Redistributions of source code must retain the above copyright\nnotice, this list of conditions and the following disclaimer.\n\n2. Redistributions in binary form must reproduce the above copyright\nnotice, this list of conditions and the following disclaimer in the\ndocumentation and/or other materials provided with the distribution.\n\nTHIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS\nIS\" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED\nTO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A\nPARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT\nHOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,\nSPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED\nTO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR\nPROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF\nLIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING\nNEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS\nSOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.\n\n---------------------------------------------------------------------\n\nhttp://opensource.org/licenses/GPL-2.0\n\nThe Stanford Javascript Crypto Library (hosted here on GitHub) is a\nproject by the Stanford Computer Security Lab to build a secure,\npowerful, fast, small, easy-to-use, cross-browser library for\ncryptography in Javascript.\n\nCopyright (c) 2009-2015, Emily Stark, Mike Hamburg and Dan Boneh at\nStanford University.\n\nThis program is free software; you can redistribute it and/or modify it\nunder the terms of the GNU General Public License as published by the\nFree Software Foundation; either version 2 of the License, or (at your\noption) any later version.\n\nThis program is distributed in the hope that it will be useful, but\nWITHOUT ANY WARRANTY; without even the implied warranty of\nMERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General\nPublic License for more details.\n\nYou should have received a copy of the GNU General Public License along\nwith this program; if not, write to the Free Software Foundation, Inc.,\n59 Temple Place, Suite 330, Boston, MA 02111-1307 USA"
},
"$:/core/templates/MOTW.html": {
"title": "$:/core/templates/MOTW.html",
"text": "\\rules only filteredtranscludeinline transcludeinline entity\n<!-- The following comment is called a MOTW comment and is necessary for the TiddlyIE Internet Explorer extension -->\n<!-- saved from url=(0021)https://tiddlywiki.com --> "
},
"$:/core/templates/alltiddlers.template.html": {
"title": "$:/core/templates/alltiddlers.template.html",
"type": "text/vnd.tiddlywiki-html",
"text": "<!-- This template is provided for backwards compatibility with older versions of TiddlyWiki -->\n\n<$set name=\"exportFilter\" value=\"[!is[system]sort[title]]\">\n\n{{$:/core/templates/exporters/StaticRiver}}\n\n</$set>\n"
},
"$:/core/templates/canonical-uri-external-image": {
"title": "$:/core/templates/canonical-uri-external-image",
"text": "<!--\n\nThis template is used to assign the ''_canonical_uri'' field to external images.\n\nChange the `./images/` part to a different base URI. The URI can be relative or absolute.\n\n-->\n./images/<$view field=\"title\" format=\"doubleurlencoded\"/>"
},
"$:/core/templates/canonical-uri-external-raw": {
"title": "$:/core/templates/canonical-uri-external-raw",
"text": "<!--\n\nThis template is used to assign the ''_canonical_uri'' field to external raw files that are stored in the same directory\n\n-->\n<$view field=\"title\" format=\"doubleurlencoded\"/>"
},
"$:/core/templates/canonical-uri-external-text": {
"title": "$:/core/templates/canonical-uri-external-text",
"text": "<!--\n\nThis template is used to assign the ''_canonical_uri'' field to external text files.\n\nChange the `./text/` part to a different base URI. The URI can be relative or absolute.\n\n-->\n./text/<$view field=\"title\" format=\"doubleurlencoded\"/>.tid"
},
"$:/core/templates/css-tiddler": {
"title": "$:/core/templates/css-tiddler",
"text": "<!--\n\nThis template is used for saving CSS tiddlers as a style tag with data attributes representing the tiddler fields.\n\n-->`<style`<$fields template=' data-tiddler-$name$=\"$encoded_value$\"'></$fields>` type=\"text/css\">`<$view field=\"text\" format=\"text\" />`</style>`"
},
"$:/core/templates/exporters/CsvFile": {
"title": "$:/core/templates/exporters/CsvFile",
"tags": "$:/tags/Exporter",
"description": "{{$:/language/Exporters/CsvFile}}",
"extension": ".csv",
"text": "\\define renderContent()\n<$text text=<<csvtiddlers filter:\"\"\"$(exportFilter)$\"\"\" format:\"quoted-comma-sep\">>/>\n\\end\n<<renderContent>>\n"
},
"$:/core/templates/exporters/JsonFile": {
"title": "$:/core/templates/exporters/JsonFile",
"tags": "$:/tags/Exporter",
"description": "{{$:/language/Exporters/JsonFile}}",
"extension": ".json",
"text": "\\define renderContent()\n<$text text=<<jsontiddlers filter:\"\"\"$(exportFilter)$\"\"\">>/>\n\\end\n<<renderContent>>\n"
},
"$:/core/templates/exporters/StaticRiver": {
"title": "$:/core/templates/exporters/StaticRiver",
"tags": "$:/tags/Exporter",
"description": "{{$:/language/Exporters/StaticRiver}}",
"extension": ".html",
"text": "\\define tv-wikilink-template() #$uri_encoded$\n\\define tv-config-toolbar-icons() no\n\\define tv-config-toolbar-text() no\n\\define tv-config-toolbar-class() tc-btn-invisible\n\\rules only filteredtranscludeinline transcludeinline\n<!doctype html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"{{$:/core/templates/version}}\" />\n<meta name=\"format-detection\" content=\"telephone=no\">\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<title>{{$:/core/wiki/title}}</title>\n<div id=\"styleArea\">\n{{$:/boot/boot.css||$:/core/templates/css-tiddler}}\n</div>\n<style type=\"text/css\">\n{{$:/core/ui/PageStylesheet||$:/core/templates/wikified-tiddler}}\n</style>\n</head>\n<body class=\"tc-body\">\n{{$:/StaticBanner||$:/core/templates/html-tiddler}}\n<section class=\"tc-story-river\">\n{{$:/core/templates/exporters/StaticRiver/Content||$:/core/templates/html-tiddler}}\n</section>\n</body>\n</html>\n"
},
"$:/core/templates/exporters/StaticRiver/Content": {
"title": "$:/core/templates/exporters/StaticRiver/Content",
"text": "\\define renderContent()\n{{{ $(exportFilter)$ ||$:/core/templates/static-tiddler}}}\n\\end\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n<<renderContent>>\n"
},
"$:/core/templates/exporters/TidFile": {
"title": "$:/core/templates/exporters/TidFile",
"tags": "$:/tags/Exporter",
"description": "{{$:/language/Exporters/TidFile}}",
"extension": ".tid",
"text": "\\define renderContent()\n{{{ $(exportFilter)$ +[limit[1]] ||$:/core/templates/tid-tiddler}}}\n\\end\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n<<renderContent>>"
},
"$:/core/save/all-external-js": {
"title": "$:/core/save/all-external-js",
"text": "\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n\\define saveTiddlerFilter()\n[is[tiddler]] -[prefix[$:/state/popup/]] -[[$:/HistoryList]] -[[$:/core]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] +[sort[title]] $(publishFilter)$\n\\end\n{{$:/core/templates/tiddlywiki5-external-js.html}}\n"
},
"$:/core/templates/tiddlywiki5.js": {
"title": "$:/core/templates/tiddlywiki5.js",
"text": "\\rules only filteredtranscludeinline transcludeinline codeinline\n\n/*\n{{ $:/core/copyright.txt ||$:/core/templates/plain-text-tiddler}}\n`*/\n`<!--~~ Library modules ~~-->\n{{{ [is[system]type[application/javascript]library[yes]] ||$:/core/templates/plain-text-tiddler}}}\n<!--~~ Boot prefix ~~-->\n{{ $:/boot/bootprefix.js ||$:/core/templates/plain-text-tiddler}}\n<!--~~ Core plugin ~~-->\n{{$:/core/templates/tiddlywiki5.js/tiddlers}}\n<!--~~ Boot kernel ~~-->\n{{ $:/boot/boot.js ||$:/core/templates/plain-text-tiddler}}\n"
},
"$:/core/templates/tiddlywiki5.js/tiddlers": {
"title": "$:/core/templates/tiddlywiki5.js/tiddlers",
"text": "`\n$tw.preloadTiddlerArray(`<$text text=<<jsontiddlers \"[[$:/core]]\">>/>`);\n$tw.preloadTiddlerArray([{\n\ttitle: \"$:/config/SaveWikiButton/Template\",\n\ttext: \"$:/core/save/all-external-js\"\n}]);\n`\n"
},
"$:/core/templates/tiddlywiki5-external-js.html": {
"title": "$:/core/templates/tiddlywiki5-external-js.html",
"text": "\\rules only filteredtranscludeinline transcludeinline\n<!doctype html>\n{{$:/core/templates/MOTW.html}}<html lang=\"`<$text text={{{ [{$:/language}get[name]] }}}/>`\">\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<!--~~ Raw markup for the top of the head section ~~-->\n{{{ [all[shadows+tiddlers]tag[$:/tags/RawMarkupWikified/TopHead]] ||$:/core/templates/raw-static-tiddler}}}\n<meta http-equiv=\"X-UA-Compatible\" content=\"IE=Edge\"/>\n<meta name=\"application-name\" content=\"TiddlyWiki\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"{{$:/core/templates/version}}\" />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"mobile-web-app-capable\" content=\"yes\"/>\n<meta name=\"format-detection\" content=\"telephone=no\" />\n<meta name=\"copyright\" content=\"{{$:/core/copyright.txt}}\" />\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<title>{{$:/core/wiki/title}}</title>\n<!--~~ This is a Tiddlywiki file. The points of interest in the file are marked with this pattern ~~-->\n\n<!--~~ Raw markup ~~-->\n{{{ [all[shadows+tiddlers]tag[$:/core/wiki/rawmarkup]] [all[shadows+tiddlers]tag[$:/tags/RawMarkup]] ||$:/core/templates/plain-text-tiddler}}}\n{{{ [all[shadows+tiddlers]tag[$:/tags/RawMarkupWikified]] ||$:/core/templates/raw-static-tiddler}}}\n</head>\n<body class=\"tc-body\">\n<!--~~ Raw markup for the top of the body section ~~-->\n{{{ [all[shadows+tiddlers]tag[$:/tags/RawMarkupWikified/TopBody]] ||$:/core/templates/raw-static-tiddler}}}\n<!--~~ Static styles ~~-->\n<div id=\"styleArea\">\n{{$:/boot/boot.css||$:/core/templates/css-tiddler}}\n</div>\n<!--~~ Static content for Google and browsers without JavaScript ~~-->\n<noscript>\n<div id=\"splashArea\">\n{{$:/core/templates/static.area}}\n</div>\n</noscript>\n<!--~~ Ordinary tiddlers ~~-->\n{{$:/core/templates/store.area.template.html}}\n<!--~~ Raw markup for the bottom of the body section ~~-->\n{{{ [all[shadows+tiddlers]tag[$:/tags/RawMarkupWikified/BottomBody]] ||$:/core/templates/raw-static-tiddler}}}\n</body>\n<script src=\"%24%3A%2Fcore%2Ftemplates%2Ftiddlywiki5.js\" onerror=\"alert('Error: Cannot load tiddlywiki.js');\"></script>\n</html>\n"
},
"$:/core/templates/html-div-skinny-tiddler": {
"title": "$:/core/templates/html-div-skinny-tiddler",
"text": "<!--\n\nThis template is a variant of $:/core/templates/html-div-tiddler used for saving skinny tiddlers (with no text field)\n\n-->`<div`<$fields template=' $name$=\"$encoded_value$\"'></$fields>`>\n<pre></pre>\n</div>`\n"
},
"$:/core/templates/html-div-tiddler": {
"title": "$:/core/templates/html-div-tiddler",
"text": "<!--\n\nThis template is used for saving tiddlers as an HTML DIV tag with attributes representing the tiddler fields.\n\n-->`<div`<$fields template=' $name$=\"$encoded_value$\"'></$fields>`>\n<pre>`<$view field=\"text\" format=\"htmlencoded\" />`</pre>\n</div>`\n"
},
"$:/core/templates/html-tiddler": {
"title": "$:/core/templates/html-tiddler",
"text": "<!--\n\nThis template is used for saving tiddlers as raw HTML\n\n--><$view field=\"text\" format=\"htmlwikified\" />"
},
"$:/core/templates/javascript-tiddler": {
"title": "$:/core/templates/javascript-tiddler",
"text": "<!--\n\nThis template is used for saving JavaScript tiddlers as a script tag with data attributes representing the tiddler fields.\n\n-->`<script`<$fields template=' data-tiddler-$name$=\"$encoded_value$\"'></$fields>` type=\"text/javascript\">`<$view field=\"text\" format=\"text\" />`</script>`"
},
"$:/core/templates/json-tiddler": {
"title": "$:/core/templates/json-tiddler",
"text": "<!--\n\nThis template is used for saving tiddlers as raw JSON\n\n--><$text text=<<jsontiddler>>/>"
},
"$:/core/templates/module-tiddler": {
"title": "$:/core/templates/module-tiddler",
"text": "<!--\n\nThis template is used for saving JavaScript tiddlers as a script tag with data attributes representing the tiddler fields. The body of the tiddler is wrapped in a call to the `$tw.modules.define` function in order to define the body of the tiddler as a module\n\n-->`<script`<$fields template=' data-tiddler-$name$=\"$encoded_value$\"'></$fields>` type=\"text/javascript\" data-module=\"yes\">$tw.modules.define(\"`<$view field=\"title\" format=\"jsencoded\" />`\",\"`<$view field=\"module-type\" format=\"jsencoded\" />`\",function(module,exports,require) {`<$view field=\"text\" format=\"text\" />`});\n</script>`"
},
"$:/core/templates/plain-text-tiddler": {
"title": "$:/core/templates/plain-text-tiddler",
"text": "<$view field=\"text\" format=\"text\" />"
},
"$:/core/templates/raw-static-tiddler": {
"title": "$:/core/templates/raw-static-tiddler",
"text": "<!--\n\nThis template is used for saving tiddlers as static HTML\n\n--><$view field=\"text\" format=\"plainwikified\" />"
},
"$:/core/save/all": {
"title": "$:/core/save/all",
"text": "\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n\\define saveTiddlerFilter()\n[is[tiddler]] -[prefix[$:/state/popup/]] -[[$:/HistoryList]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] +[sort[title]] $(publishFilter)$\n\\end\n{{$:/core/templates/tiddlywiki5.html}}\n"
},
"$:/core/save/empty": {
"title": "$:/core/save/empty",
"text": "\\define saveTiddlerFilter()\n[is[system]] -[prefix[$:/state/popup/]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] +[sort[title]]\n\\end\n{{$:/core/templates/tiddlywiki5.html}}\n"
},
"$:/core/save/lazy-all": {
"title": "$:/core/save/lazy-all",
"text": "\\define saveTiddlerFilter()\n[is[system]] -[prefix[$:/state/popup/]] -[[$:/HistoryList]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] +[sort[title]] \n\\end\n\\define skinnySaveTiddlerFilter()\n[!is[system]]\n\\end\n{{$:/core/templates/tiddlywiki5.html}}\n"
},
"$:/core/save/lazy-images": {
"title": "$:/core/save/lazy-images",
"text": "\\define saveTiddlerFilter()\n[is[tiddler]] -[prefix[$:/state/popup/]] -[[$:/HistoryList]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] -[!is[system]is[image]] +[sort[title]] \n\\end\n\\define skinnySaveTiddlerFilter()\n[is[image]]\n\\end\n{{$:/core/templates/tiddlywiki5.html}}\n"
},
"$:/core/templates/server/static.sidebar.wikitext": {
"title": "$:/core/templates/server/static.sidebar.wikitext",
"text": "\\whitespace trim\n<div class=\"tc-sidebar-scrollable\" style=\"overflow: auto;\">\n<div class=\"tc-sidebar-header\">\n<h1 class=\"tc-site-title\">\n<$transclude tiddler=\"$:/SiteTitle\"/>\n</h1>\n<div class=\"tc-site-subtitle\">\n<$transclude tiddler=\"$:/SiteSubtitle\"/>\n</div>\n<h2>\n</h2>\n<div class=\"tc-sidebar-lists\">\n<$list filter={{$:/DefaultTiddlers}}>\n<div class=\"tc-menu-list-subitem\">\n<$link><$text text=<<currentTiddler>>/></$link>\n</div>\n</$list>\n</div>\n<!-- Currently disabled the recent list as it is unweildy when the responsive narrow view kicks in\n<h2>\n{{$:/language/SideBar/Recent/Caption}}\n</h2>\n<div class=\"tc-sidebar-lists\">\n<$macrocall $name=\"timeline\" format={{$:/language/RecentChanges/DateFormat}}/>\n</div>\n</div>\n</div>\n-->\n"
},
"$:/core/templates/server/static.tiddler.html": {
"title": "$:/core/templates/server/static.tiddler.html",
"text": "\\whitespace trim\n\\define tv-wikilink-template() $uri_encoded$\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content={{$:/core/templates/version}} />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"mobile-web-app-capable\" content=\"yes\"/>\n<meta name=\"format-detection\" content=\"telephone=no\">\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<link rel=\"stylesheet\" href=\"%24%3A%2Fcore%2Ftemplates%2Fstatic.template.css\">\n<title><$view field=\"caption\" format=\"plainwikified\"><$view field=\"title\"/></$view>: <$view tiddler=\"$:/core/wiki/title\" format=\"plainwikified\"/></title>\n</head>\n<body class=\"tc-body\">\n<$transclude tiddler=\"$:/core/templates/server/static.sidebar.wikitext\" mode=\"inline\"/>\n<section class=\"tc-story-river\">\n<div class=\"tc-tiddler-frame\">\n<$transclude tiddler=\"$:/core/templates/server/static.tiddler.wikitext\" mode=\"inline\"/>\n</div>\n</section>\n</body>\n</html>"
},
"$:/core/templates/server/static.tiddler.wikitext": {
"title": "$:/core/templates/server/static.tiddler.wikitext",
"text": "\\whitespace trim\n<div class=\"tc-tiddler-title\">\n<div class=\"tc-titlebar\">\n<h2><$text text=<<currentTiddler>>/></h2>\n</div>\n</div>\n<div class=\"tc-subtitle\">\n<$link to={{!!modifier}}>\n<$view field=\"modifier\"/>\n</$link> <$view field=\"modified\" format=\"date\" template={{$:/language/Tiddler/DateFormat}}/>\n</div>\n<div class=\"tc-tags-wrapper\">\n<$list filter=\"[all[current]tags[]sort[title]]\">\n<a href={{{ [<currentTiddler>encodeuricomponent[]] }}}>\n<$macrocall $name=\"tag-pill\" tag=<<currentTiddler>>/>\n</a>\n</$list>\n</div>\n<div class=\"tc-tiddler-body\">\n<$transclude mode=\"block\"/>\n</div>\n"
},
"$:/core/templates/single.tiddler.window": {
"title": "$:/core/templates/single.tiddler.window",
"text": "\\whitespace trim\n\\define containerClasses()\ntc-page-container tc-page-view-$(storyviewTitle)$ tc-language-$(languageTitle)$\n\\end\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n\n<$set name=\"tv-config-toolbar-icons\" value={{$:/config/Toolbar/Icons}}>\n\n<$set name=\"tv-config-toolbar-text\" value={{$:/config/Toolbar/Text}}>\n\n<$set name=\"tv-config-toolbar-class\" value={{$:/config/Toolbar/ButtonClass}}>\n\n<$set name=\"tv-show-missing-links\" value={{$:/config/MissingLinks}}>\n\n<$set name=\"storyviewTitle\" value={{$:/view}}>\n\n<$set name=\"languageTitle\" value={{{ [{$:/language}get[name]] }}}>\n\n<div class=<<containerClasses>>>\n\n<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\">\n\n<$transclude mode=\"block\"/>\n\n</$navigator>\n\n</div>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n"
},
"$:/core/templates/split-recipe": {
"title": "$:/core/templates/split-recipe",
"text": "<$list filter=\"[!is[system]]\">\ntiddler: <$view field=\"title\" format=\"urlencoded\"/>.tid\n</$list>\n"
},
"$:/core/templates/static-tiddler": {
"title": "$:/core/templates/static-tiddler",
"text": "<a name=<<currentTiddler>>>\n<$transclude tiddler=\"$:/core/ui/ViewTemplate\"/>\n</a>"
},
"$:/core/templates/static.area": {
"title": "$:/core/templates/static.area",
"text": "<$reveal type=\"nomatch\" state=\"$:/isEncrypted\" text=\"yes\">\n{{{ [all[shadows+tiddlers]tag[$:/tags/RawStaticContent]!has[draft.of]] ||$:/core/templates/raw-static-tiddler}}}\n{{$:/core/templates/static.content||$:/core/templates/html-tiddler}}\n</$reveal>\n<$reveal type=\"match\" state=\"$:/isEncrypted\" text=\"yes\">\nThis file contains an encrypted ~TiddlyWiki. Enable ~JavaScript and enter the decryption password when prompted.\n</$reveal>\n<!-- ensure splash screen isn't shown when JS is disabled -->\n`<style>\n.tc-remove-when-wiki-loaded {display: none;}\n</style>`\n"
},
"$:/core/templates/static.content": {
"title": "$:/core/templates/static.content",
"text": "<!-- For Google, and people without JavaScript-->\nThis [[TiddlyWiki|https://tiddlywiki.com]] contains the following tiddlers:\n\n<ul>\n<$list filter=<<saveTiddlerFilter>>>\n<li><$view field=\"title\" format=\"text\"></$view></li>\n</$list>\n</ul>\n"
},
"$:/core/templates/static.template.css": {
"title": "$:/core/templates/static.template.css",
"text": "{{$:/boot/boot.css||$:/core/templates/plain-text-tiddler}}\n\n{{$:/core/ui/PageStylesheet||$:/core/templates/wikified-tiddler}}\n"
},
"$:/core/templates/static.template.html": {
"title": "$:/core/templates/static.template.html",
"type": "text/vnd.tiddlywiki-html",
"text": "\\define tv-wikilink-template() static/$uri_doubleencoded$.html\n\\define tv-config-toolbar-icons() no\n\\define tv-config-toolbar-text() no\n\\define tv-config-toolbar-class() tc-btn-invisible\n\\rules only filteredtranscludeinline transcludeinline\n<!doctype html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"{{$:/core/templates/version}}\" />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"mobile-web-app-capable\" content=\"yes\"/>\n<meta name=\"format-detection\" content=\"telephone=no\">\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<title>{{$:/core/wiki/title}}</title>\n<div id=\"styleArea\">\n{{$:/boot/boot.css||$:/core/templates/css-tiddler}}\n</div>\n<style type=\"text/css\">\n{{$:/core/ui/PageStylesheet||$:/core/templates/wikified-tiddler}}\n</style>\n</head>\n<body class=\"tc-body\">\n{{$:/StaticBanner||$:/core/templates/html-tiddler}}\n{{$:/core/ui/PageTemplate||$:/core/templates/html-tiddler}}\n</body>\n</html>\n"
},
"$:/core/templates/static.tiddler.html": {
"title": "$:/core/templates/static.tiddler.html",
"text": "\\define tv-wikilink-template() $uri_doubleencoded$.html\n\\define tv-config-toolbar-icons() no\n\\define tv-config-toolbar-text() no\n\\define tv-config-toolbar-class() tc-btn-invisible\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n`<!doctype html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"`{{$:/core/templates/version}}`\" />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"mobile-web-app-capable\" content=\"yes\"/>\n<meta name=\"format-detection\" content=\"telephone=no\">\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<link rel=\"stylesheet\" href=\"static.css\">\n<title>`<$view field=\"caption\"><$view field=\"title\"/></$view>: {{$:/core/wiki/title}}`</title>\n</head>\n<body class=\"tc-body\">\n`{{$:/StaticBanner||$:/core/templates/html-tiddler}}`\n<section class=\"tc-story-river\">\n`<$view tiddler=\"$:/core/ui/ViewTemplate\" format=\"htmlwikified\"/>`\n</section>\n</body>\n</html>\n`"
},
"$:/core/templates/store.area.template.html": {
"title": "$:/core/templates/store.area.template.html",
"text": "<$reveal type=\"nomatch\" state=\"$:/isEncrypted\" text=\"yes\">\n`<div id=\"storeArea\" style=\"display:none;\">`\n<$list filter=<<saveTiddlerFilter>> template=\"$:/core/templates/html-div-tiddler\"/>\n<$list filter={{{ [<skinnySaveTiddlerFilter>] }}} template=\"$:/core/templates/html-div-skinny-tiddler\"/>\n`</div>`\n</$reveal>\n<$reveal type=\"match\" state=\"$:/isEncrypted\" text=\"yes\">\n`<!--~~ Encrypted tiddlers ~~-->`\n`<pre id=\"encryptedStoreArea\" type=\"text/plain\" style=\"display:none;\">`\n<$encrypt filter=<<saveTiddlerFilter>>/>\n`</pre>`\n</$reveal>"
},
"$:/core/templates/tid-tiddler": {
"title": "$:/core/templates/tid-tiddler",
"text": "<!--\n\nThis template is used for saving tiddlers in TiddlyWeb *.tid format\n\n--><$fields exclude='text bag' template='$name$: $value$\n'></$fields>`\n`<$view field=\"text\" format=\"text\" />"
},
"$:/core/templates/tiddler-metadata": {
"title": "$:/core/templates/tiddler-metadata",
"text": "<!--\n\nThis template is used for saving tiddler metadata *.meta files\n\n--><$fields exclude='text bag' template='$name$: $value$\n'></$fields>"
},
"$:/core/templates/tiddlywiki5.html": {
"title": "$:/core/templates/tiddlywiki5.html",
"text": "<$set name=\"saveTiddlerAndShadowsFilter\" filter=\"[subfilter<saveTiddlerFilter>] [subfilter<saveTiddlerFilter>plugintiddlers[]]\">\n`<!doctype html>\n`{{$:/core/templates/MOTW.html}}`<html lang=\"`<$text text={{{ [{$:/language}get[name]] }}}/>`\">\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<!--~~ Raw markup for the top of the head section ~~-->\n`{{{ [<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkupWikified/TopHead]] ||$:/core/templates/raw-static-tiddler}}}`\n<meta http-equiv=\"X-UA-Compatible\" content=\"IE=Edge\"/>\n<meta name=\"application-name\" content=\"TiddlyWiki\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"`{{$:/core/templates/version}}`\" />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"mobile-web-app-capable\" content=\"yes\"/>\n<meta name=\"format-detection\" content=\"telephone=no\" />\n<meta name=\"copyright\" content=\"`{{$:/core/copyright.txt}}`\" />\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<title>`{{$:/core/wiki/title}}`</title>\n<!--~~ This is a Tiddlywiki file. The points of interest in the file are marked with this pattern ~~-->\n\n<!--~~ Raw markup ~~-->\n`{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/core/wiki/rawmarkup]] ||$:/core/templates/plain-text-tiddler}}}\n{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkup]] ||$:/core/templates/plain-text-tiddler}}}\n{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkupWikified]] ||$:/core/templates/raw-static-tiddler}}}`\n</head>\n<body class=\"tc-body\">\n<!--~~ Raw markup for the top of the body section ~~-->\n`{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkupWikified/TopBody]] ||$:/core/templates/raw-static-tiddler}}}`\n<!--~~ Static styles ~~-->\n<div id=\"styleArea\">\n`{{$:/boot/boot.css||$:/core/templates/css-tiddler}}`\n</div>\n<!--~~ Static content for Google and browsers without JavaScript ~~-->\n<noscript>\n<div id=\"splashArea\">\n`{{$:/core/templates/static.area}}`\n</div>\n</noscript>\n<!--~~ Ordinary tiddlers ~~-->\n`{{$:/core/templates/store.area.template.html}}`\n<!--~~ Library modules ~~-->\n<div id=\"libraryModules\" style=\"display:none;\">\n`{{{ [is[system]type[application/javascript]library[yes]] ||$:/core/templates/javascript-tiddler}}}`\n</div>\n<!--~~ Boot kernel prologue ~~-->\n<div id=\"bootKernelPrefix\" style=\"display:none;\">\n`{{ $:/boot/bootprefix.js ||$:/core/templates/javascript-tiddler}}`\n</div>\n<!--~~ Boot kernel ~~-->\n<div id=\"bootKernel\" style=\"display:none;\">\n`{{ $:/boot/boot.js ||$:/core/templates/javascript-tiddler}}`\n</div>\n<!--~~ Raw markup for the bottom of the body section ~~-->\n`{{{ [enlist<saveTiddlerAndShadowsFilter>tag[$:/tags/RawMarkupWikified/BottomBody]] ||$:/core/templates/raw-static-tiddler}}}`\n</body>\n</html>`\n"
},
"$:/core/templates/version": {
"title": "$:/core/templates/version",
"text": "<<version>>"
},
"$:/core/templates/wikified-tiddler": {
"title": "$:/core/templates/wikified-tiddler",
"text": "<$transclude />"
},
"$:/core/ui/AboveStory/tw2-plugin-check": {
"title": "$:/core/ui/AboveStory/tw2-plugin-check",
"tags": "$:/tags/AboveStory",
"text": "\\define lingo-base() $:/language/AboveStory/ClassicPlugin/\n<$list filter=\"[all[system+tiddlers]tag[systemConfig]limit[1]]\">\n\n<div class=\"tc-message-box\">\n\n<<lingo Warning>>\n\n<ul>\n\n<$list filter=\"[all[system+tiddlers]tag[systemConfig]]\">\n\n<li>\n\n<$link><$view field=\"title\"/></$link>\n\n</li>\n\n</$list>\n\n</ul>\n\n</div>\n\n</$list>\n"
},
"$:/core/ui/Actions/new-image": {
"title": "$:/core/ui/Actions/new-image",
"tags": "$:/tags/Actions",
"description": "create a new image tiddler",
"text": "\\define get-type()\nimage/$(imageType)$\n\\end\n<$vars imageType={{$:/config/NewImageType}}>\n<$action-sendmessage $message=\"tm-new-tiddler\" type=<<get-type>> tags={{$:/config/NewTiddler/Tags!!tags}}/>\n</$vars>\n"
},
"$:/core/ui/Actions/new-journal": {
"title": "$:/core/ui/Actions/new-journal",
"tags": "$:/tags/Actions",
"description": "create a new journal tiddler",
"text": "<$vars journalTitleTemplate={{$:/config/NewJournal/Title}} journalTags={{$:/config/NewJournal/Tags!!tags}} journalText={{$:/config/NewJournal/Text}}>\n<$wikify name=\"journalTitle\" text=\"\"\"<$macrocall $name=\"now\" format=<<journalTitleTemplate>>/>\"\"\">\n<$reveal type=\"nomatch\" state=<<journalTitle>> text=\"\">\n<$action-sendmessage $message=\"tm-new-tiddler\" title=<<journalTitle>> tags=<<journalTags>> text={{{ [<journalTitle>get[]] }}}/>\n</$reveal>\n<$reveal type=\"match\" state=<<journalTitle>> text=\"\">\n<$action-sendmessage $message=\"tm-new-tiddler\" title=<<journalTitle>> tags=<<journalTags>> text=<<journalText>>/>\n</$reveal>\n</$wikify>\n</$vars>\n"
},
"$:/core/ui/Actions/new-tiddler": {
"title": "$:/core/ui/Actions/new-tiddler",
"tags": "$:/tags/Actions",
"description": "create a new empty tiddler",
"text": "<$action-sendmessage $message=\"tm-new-tiddler\" tags={{$:/config/NewTiddler/Tags!!tags}}/>\n"
},
"$:/core/ui/AdvancedSearch/Filter": {
"title": "$:/core/ui/AdvancedSearch/Filter",
"tags": "$:/tags/AdvancedSearch",
"caption": "{{$:/language/Search/Filter/Caption}}",
"text": "\\define lingo-base() $:/language/Search/\n<<lingo Filter/Hint>>\n\n<div class=\"tc-search tc-advanced-search\">\n<$edit-text tiddler=\"$:/temp/advancedsearch\" type=\"search\" tag=\"input\" focus={{$:/config/Search/AutoFocus}}/>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/AdvancedSearch/FilterButton]!has[draft.of]]\"><$transclude/></$list>\n</div>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$set name=\"resultCount\" value=\"\"\"<$count filter={{$:/temp/advancedsearch}}/>\"\"\">\n<div class=\"tc-search-results\">\n<<lingo Filter/Matches>>\n<$list filter={{$:/temp/advancedsearch}} template=\"$:/core/ui/ListItemTemplate\"/>\n</div>\n</$set>\n</$reveal>\n"
},
"$:/core/ui/AdvancedSearch/Filter/FilterButtons/clear": {
"title": "$:/core/ui/AdvancedSearch/Filter/FilterButtons/clear",
"tags": "$:/tags/AdvancedSearch/FilterButton",
"text": "<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" $field=\"text\" $value=\"\"/>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n"
},
"$:/core/ui/AdvancedSearch/Filter/FilterButtons/delete": {
"title": "$:/core/ui/AdvancedSearch/Filter/FilterButtons/delete",
"tags": "$:/tags/AdvancedSearch/FilterButton",
"text": "<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button popup=<<qualify \"$:/state/filterDeleteDropdown\">> class=\"tc-btn-invisible\">\n{{$:/core/images/delete-button}}\n</$button>\n</$reveal>\n\n<$reveal state=<<qualify \"$:/state/filterDeleteDropdown\">> type=\"popup\" position=\"belowleft\" animate=\"yes\">\n<div class=\"tc-block-dropdown-wrapper\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown\">\n<div class=\"tc-dropdown-item-plain\">\n<$set name=\"resultCount\" value=\"\"\"<$count filter={{$:/temp/advancedsearch}}/>\"\"\">\nAre you sure you wish to delete <<resultCount>> tiddler(s)?\n</$set>\n</div>\n<div class=\"tc-dropdown-item-plain\">\n<$button class=\"tc-btn\">\n<$action-deletetiddler $filter={{$:/temp/advancedsearch}}/>\nDelete these tiddlers\n</$button>\n</div>\n</div>\n</div>\n</$reveal>\n"
},
"$:/core/ui/AdvancedSearch/Filter/FilterButtons/dropdown": {
"title": "$:/core/ui/AdvancedSearch/Filter/FilterButtons/dropdown",
"tags": "$:/tags/AdvancedSearch/FilterButton",
"text": "<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/filterDropdown\">> class=\"tc-btn-invisible\">\n{{$:/core/images/down-arrow}}\n</$button>\n</span>\n\n<$reveal state=<<qualify \"$:/state/filterDropdown\">> type=\"popup\" position=\"belowleft\" animate=\"yes\">\n<$set name=\"tv-show-missing-links\" value=\"yes\">\n<$linkcatcher to=\"$:/temp/advancedsearch\">\n<div class=\"tc-block-dropdown-wrapper\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Filter]]\"><$link to={{!!filter}}><$transclude field=\"description\"/></$link>\n</$list>\n</div>\n</div>\n</$linkcatcher>\n</$set>\n</$reveal>\n"
},
"$:/core/ui/AdvancedSearch/Filter/FilterButtons/export": {
"title": "$:/core/ui/AdvancedSearch/Filter/FilterButtons/export",
"tags": "$:/tags/AdvancedSearch/FilterButton",
"text": "<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$macrocall $name=\"exportButton\" exportFilter={{$:/temp/advancedsearch}} lingoBase=\"$:/language/Buttons/ExportTiddlers/\"/>\n</$reveal>\n"
},
"$:/core/ui/AdvancedSearch/Shadows": {
"title": "$:/core/ui/AdvancedSearch/Shadows",
"tags": "$:/tags/AdvancedSearch",
"caption": "{{$:/language/Search/Shadows/Caption}}",
"text": "\\define lingo-base() $:/language/Search/\n<$linkcatcher to=\"$:/temp/advancedsearch\">\n\n<<lingo Shadows/Hint>>\n\n<div class=\"tc-search\">\n<$edit-text tiddler=\"$:/temp/advancedsearch\" type=\"search\" tag=\"input\" focus={{$:/config/Search/AutoFocus}}/>\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" $field=\"text\" $value=\"\"/>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n\n</$linkcatcher>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n\n<$list filter=\"[{$:/temp/advancedsearch}minlength{$:/config/Search/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n\n<$set name=\"resultCount\" value=\"\"\"<$count filter=\"[all[shadows]search{$:/temp/advancedsearch}] -[[$:/temp/advancedsearch]]\"/>\"\"\">\n\n<div class=\"tc-search-results\">\n\n<<lingo Shadows/Matches>>\n\n<$list filter=\"[all[shadows]search{$:/temp/advancedsearch}sort[title]limit[250]] -[[$:/temp/advancedsearch]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n\n</div>\n\n</$set>\n\n</$list>\n\n</$reveal>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"match\" text=\"\">\n\n</$reveal>\n"
},
"$:/core/ui/AdvancedSearch/Standard": {
"title": "$:/core/ui/AdvancedSearch/Standard",
"tags": "$:/tags/AdvancedSearch",
"caption": "{{$:/language/Search/Standard/Caption}}",
"text": "\\define lingo-base() $:/language/Search/\n<$linkcatcher to=\"$:/temp/advancedsearch\">\n\n<<lingo Standard/Hint>>\n\n<div class=\"tc-search\">\n<$edit-text tiddler=\"$:/temp/advancedsearch\" type=\"search\" tag=\"input\" focus={{$:/config/Search/AutoFocus}}/>\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" $field=\"text\" $value=\"\"/>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n\n</$linkcatcher>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$list filter=\"[{$:/temp/advancedsearch}minlength{$:/config/Search/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n<$set name=\"searchTiddler\" value=\"$:/temp/advancedsearch\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]butfirst[]limit[1]]\" emptyMessage=\"\"\"\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]\">\n<$transclude/>\n</$list>\n\"\"\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]\" default={{$:/config/SearchResults/Default}}/>\n</$list>\n</$set>\n</$list>\n</$reveal>\n"
},
"$:/core/ui/AdvancedSearch/System": {
"title": "$:/core/ui/AdvancedSearch/System",
"tags": "$:/tags/AdvancedSearch",
"caption": "{{$:/language/Search/System/Caption}}",
"text": "\\define lingo-base() $:/language/Search/\n<$linkcatcher to=\"$:/temp/advancedsearch\">\n\n<<lingo System/Hint>>\n\n<div class=\"tc-search\">\n<$edit-text tiddler=\"$:/temp/advancedsearch\" type=\"search\" tag=\"input\" focus={{$:/config/Search/AutoFocus}}/>\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" $field=\"text\" $value=\"\"/>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n\n</$linkcatcher>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n\n<$list filter=\"[{$:/temp/advancedsearch}minlength{$:/config/Search/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n\n<$set name=\"resultCount\" value=\"\"\"<$count filter=\"[is[system]search{$:/temp/advancedsearch}] -[[$:/temp/advancedsearch]]\"/>\"\"\">\n\n<div class=\"tc-search-results\">\n\n<<lingo System/Matches>>\n\n<$list filter=\"[is[system]search{$:/temp/advancedsearch}sort[title]limit[250]] -[[$:/temp/advancedsearch]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n\n</div>\n\n</$set>\n\n</$list>\n\n</$reveal>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"match\" text=\"\">\n\n</$reveal>\n"
},
"$:/AdvancedSearch": {
"title": "$:/AdvancedSearch",
"icon": "$:/core/images/advanced-search-button",
"color": "#bbb",
"text": "<div class=\"tc-advanced-search\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/AdvancedSearch]!has[draft.of]]\" \"$:/core/ui/AdvancedSearch/System\">>\n</div>\n"
},
"$:/core/ui/AlertTemplate": {
"title": "$:/core/ui/AlertTemplate",
"text": "<div class=\"tc-alert\">\n<div class=\"tc-alert-toolbar\">\n<$button class=\"tc-btn-invisible\"><$action-deletetiddler $tiddler=<<currentTiddler>>/>{{$:/core/images/cancel-button}}</$button>\n</div>\n<div class=\"tc-alert-subtitle\">\n<$wikify name=\"format\" text=<<lingo Tiddler/DateFormat>>>\n<$view field=\"component\"/> - <$view field=\"modified\" format=\"date\" template=<<format>>/> <$reveal type=\"nomatch\" state=\"!!count\" text=\"\"><span class=\"tc-alert-highlight\">({{$:/language/Count}}: <$view field=\"count\"/>)</span></$reveal>\n</$wikify>\n</div>\n<div class=\"tc-alert-body\">\n\n<$transclude/>\n\n</div>\n</div>\n"
},
"$:/core/ui/BinaryWarning": {
"title": "$:/core/ui/BinaryWarning",
"text": "\\define lingo-base() $:/language/BinaryWarning/\n<<lingo Prompt>>\n"
},
"$:/core/ui/Components/plugin-info": {
"title": "$:/core/ui/Components/plugin-info",
"text": "\\define lingo-base() $:/language/ControlPanel/Plugins/\n\n\\define popup-state-macro()\n$(qualified-state)$-$(currentTiddler)$\n\\end\n\n\\define tabs-state-macro()\n$(popup-state)$-$(pluginInfoType)$\n\\end\n\n\\define plugin-icon-title()\n$(currentTiddler)$/icon\n\\end\n\n\\define plugin-disable-title()\n$:/config/Plugins/Disabled/$(currentTiddler)$\n\\end\n\n\\define plugin-table-body(type,disabledMessage,default-popup-state)\n<div class=\"tc-plugin-info-chunk tc-plugin-info-toggle\">\n<$reveal type=\"nomatch\" state=<<popup-state>> text=\"yes\" default=\"\"\"$default-popup-state$\"\"\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<popup-state>> setTo=\"yes\">\n{{$:/core/images/chevron-right}}\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<popup-state>> text=\"yes\" default=\"\"\"$default-popup-state$\"\"\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<popup-state>> setTo=\"no\">\n{{$:/core/images/chevron-down}}\n</$button>\n</$reveal>\n</div>\n<div class=\"tc-plugin-info-chunk tc-plugin-info-icon\">\n<$transclude tiddler=<<currentTiddler>> subtiddler=<<plugin-icon-title>>>\n<$transclude tiddler=\"$:/core/images/plugin-generic-$type$\"/>\n</$transclude>\n</div>\n<div class=\"tc-plugin-info-chunk tc-plugin-info-description\">\n<h1>\n''<$text text={{{ [<currentTiddler>get[name]] ~[<currentTiddler>split[/]last[1]] }}}/>'': <$view field=\"description\"><$view field=\"title\"/></$view> $disabledMessage$\n</h1>\n<h2>\n<$view field=\"title\"/>\n</h2>\n<h2>\n<div><em><$view field=\"version\"/></em></div>\n</h2>\n</div>\n\\end\n\n\\define plugin-info(type,default-popup-state)\n<$set name=\"popup-state\" value=<<popup-state-macro>>>\n<$reveal type=\"nomatch\" state=<<plugin-disable-title>> text=\"yes\">\n<$link to={{!!title}} class=\"tc-plugin-info\">\n<<plugin-table-body type:\"$type$\" default-popup-state:\"\"\"$default-popup-state$\"\"\">>\n</$link>\n</$reveal>\n<$reveal type=\"match\" state=<<plugin-disable-title>> text=\"yes\">\n<$link to={{!!title}} class=\"tc-plugin-info tc-plugin-info-disabled\">\n<<plugin-table-body type:\"$type$\" default-popup-state:\"\"\"$default-popup-state$\"\"\" disabledMessage:\"<$macrocall $name='lingo' title='Disabled/Status'/>\">>\n</$link>\n</$reveal>\n<$reveal type=\"match\" text=\"yes\" state=<<popup-state>> default=\"\"\"$default-popup-state$\"\"\">\n<div class=\"tc-plugin-info-dropdown\">\n<div class=\"tc-plugin-info-dropdown-body\">\n<$list filter=\"[all[current]] -[[$:/core]]\">\n<div style=\"float:right;\">\n<$reveal type=\"nomatch\" state=<<plugin-disable-title>> text=\"yes\">\n<$button set=<<plugin-disable-title>> setTo=\"yes\" tooltip={{$:/language/ControlPanel/Plugins/Disable/Hint}} aria-label={{$:/language/ControlPanel/Plugins/Disable/Caption}}>\n<<lingo Disable/Caption>>\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<plugin-disable-title>> text=\"yes\">\n<$button set=<<plugin-disable-title>> setTo=\"no\" tooltip={{$:/language/ControlPanel/Plugins/Enable/Hint}} aria-label={{$:/language/ControlPanel/Plugins/Enable/Caption}}>\n<<lingo Enable/Caption>>\n</$button>\n</$reveal>\n</div>\n</$list>\n<$set name=\"tabsList\" filter=\"[<currentTiddler>list[]] contents\">\n<$macrocall $name=\"tabs\" state=<<tabs-state-macro>> tabsList=<<tabsList>> default={{{ [enlist<tabsList>] }}} template=\"$:/core/ui/PluginInfo\"/>\n</$set>\n</div>\n</div>\n</$reveal>\n</$set>\n\\end\n\n<$macrocall $name=\"plugin-info\" type=<<plugin-type>> default-popup-state=<<default-popup-state>>/>\n"
},
"$:/core/ui/Components/tag-link": {
"title": "$:/core/ui/Components/tag-link",
"text": "<$link>\n<$set name=\"backgroundColor\" value={{!!color}}>\n<span style=<<tag-styles>> class=\"tc-tag-label\">\n<$view field=\"title\" format=\"text\"/>\n</span>\n</$set>\n</$link>"
},
"$:/core/ui/ControlPanel/Advanced": {
"title": "$:/core/ui/ControlPanel/Advanced",
"tags": "$:/tags/ControlPanel/Info",
"caption": "{{$:/language/ControlPanel/Advanced/Caption}}",
"text": "{{$:/language/ControlPanel/Advanced/Hint}}\n\n<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Advanced]!has[draft.of]]\" \"$:/core/ui/ControlPanel/TiddlerFields\">>\n</div>\n"
},
"$:/core/ui/ControlPanel/Appearance": {
"title": "$:/core/ui/ControlPanel/Appearance",
"tags": "$:/tags/ControlPanel",
"caption": "{{$:/language/ControlPanel/Appearance/Caption}}",
"text": "{{$:/language/ControlPanel/Appearance/Hint}}\n\n<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Appearance]!has[draft.of]]\" \"$:/core/ui/ControlPanel/Theme\">>\n</div>\n"
},
"$:/core/ui/ControlPanel/Basics": {
"title": "$:/core/ui/ControlPanel/Basics",
"tags": "$:/tags/ControlPanel/Info",
"caption": "{{$:/language/ControlPanel/Basics/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Basics/\n\n\\define show-filter-count(filter)\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" $value=\"\"\"$filter$\"\"\"/>\n<$action-setfield $tiddler=\"$:/state/tab--1498284803\" $value=\"$:/core/ui/AdvancedSearch/Filter\"/>\n<$action-navigate $to=\"$:/AdvancedSearch\"/>\n''<$count filter=\"\"\"$filter$\"\"\"/>''\n{{$:/core/images/advanced-search-button}}\n</$button>\n\\end\n\n|<<lingo Version/Prompt>> |''<<version>>'' |\n|<$link to=\"$:/SiteTitle\"><<lingo Title/Prompt>></$link> |<$edit-text tiddler=\"$:/SiteTitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/SiteSubtitle\"><<lingo Subtitle/Prompt>></$link> |<$edit-text tiddler=\"$:/SiteSubtitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/status/UserName\"><<lingo Username/Prompt>></$link> |<$edit-text tiddler=\"$:/status/UserName\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/config/AnimationDuration\"><<lingo AnimDuration/Prompt>></$link> |<$edit-text tiddler=\"$:/config/AnimationDuration\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/DefaultTiddlers\"><<lingo DefaultTiddlers/Prompt>></$link> |<<lingo DefaultTiddlers/TopHint>><br> <$edit tag=\"textarea\" tiddler=\"$:/DefaultTiddlers\" class=\"tc-edit-texteditor\"/><br>//<<lingo DefaultTiddlers/BottomHint>>// |\n|<$link to=\"$:/language/DefaultNewTiddlerTitle\"><<lingo NewTiddler/Title/Prompt>></$link> |<$edit-text tiddler=\"$:/language/DefaultNewTiddlerTitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/config/NewJournal/Title\"><<lingo NewJournal/Title/Prompt>></$link> |<$edit-text tiddler=\"$:/config/NewJournal/Title\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/config/NewJournal/Text\"><<lingo NewJournal/Text/Prompt>></$link> |<$edit tiddler=\"$:/config/NewJournal/Text\" tag=\"textarea\" class=\"tc-edit-texteditor\" default=\"\"/> |\n|<$link to=\"$:/config/NewTiddler/Tags\"><<lingo NewTiddler/Tags/Prompt>></$link> |<$list filter=\"[[$:/config/NewTiddler/Tags]]\" template=\"$:/core/ui/EditTemplate/tags\"/> |\n|<$link to=\"$:/config/NewJournal/Tags\"><<lingo NewJournal/Tags/Prompt>></$link> |<$list filter=\"[[$:/config/NewJournal/Tags]]\" template=\"$:/core/ui/EditTemplate/tags\"/> |\n|<$link to=\"$:/config/AutoFocus\"><<lingo AutoFocus/Prompt>></$link> |{{$:/snippets/minifocusswitcher}} |\n|<<lingo Language/Prompt>> |{{$:/snippets/minilanguageswitcher}} |\n|<<lingo Tiddlers/Prompt>> |<<show-filter-count \"[!is[system]sort[title]]\">> |\n|<<lingo Tags/Prompt>> |<<show-filter-count \"[tags[]sort[title]]\">> |\n|<<lingo SystemTiddlers/Prompt>> |<<show-filter-count \"[is[system]sort[title]]\">> |\n|<<lingo ShadowTiddlers/Prompt>> |<<show-filter-count \"[all[shadows]sort[title]]\">> |\n|<<lingo OverriddenShadowTiddlers/Prompt>> |<<show-filter-count \"[is[tiddler]is[shadow]sort[title]]\">> |\n"
},
"$:/core/ui/ControlPanel/EditorTypes": {
"title": "$:/core/ui/ControlPanel/EditorTypes",
"tags": "$:/tags/ControlPanel/Advanced",
"caption": "{{$:/language/ControlPanel/EditorTypes/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/EditorTypes/\n\n<<lingo Hint>>\n\n<table>\n<tbody>\n<tr>\n<th><<lingo Type/Caption>></th>\n<th><<lingo Editor/Caption>></th>\n</tr>\n<$list filter=\"[all[shadows+tiddlers]prefix[$:/config/EditorTypeMappings/]sort[title]]\">\n<tr>\n<td>\n<$link>\n<$list filter=\"[all[current]removeprefix[$:/config/EditorTypeMappings/]]\">\n<$text text={{!!title}}/>\n</$list>\n</$link>\n</td>\n<td>\n<$view field=\"text\"/>\n</td>\n</tr>\n</$list>\n</tbody>\n</table>\n"
},
"$:/core/ui/ControlPanel/Info": {
"title": "$:/core/ui/ControlPanel/Info",
"tags": "$:/tags/ControlPanel",
"caption": "{{$:/language/ControlPanel/Info/Caption}}",
"text": "{{$:/language/ControlPanel/Info/Hint}}\n\n<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Info]!has[draft.of]]\" \"$:/core/ui/ControlPanel/Basics\">>\n</div>\n"
},
"$:/core/ui/ControlPanel/KeyboardShortcuts": {
"title": "$:/core/ui/ControlPanel/KeyboardShortcuts",
"tags": "$:/tags/ControlPanel",
"caption": "{{$:/language/ControlPanel/KeyboardShortcuts/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/KeyboardShortcuts/\n\n\\define new-shortcut(title)\n<div class=\"tc-dropdown-item-plain\">\n<$edit-shortcut tiddler=\"$title$\" placeholder={{$:/language/ControlPanel/KeyboardShortcuts/Add/Prompt}} focus=\"true\" style=\"width:auto;\"/> <$button>\n<<lingo Add/Caption>>\n<$action-listops\n\t$tiddler=\"$(shortcutTitle)$\"\n\t$field=\"text\"\n\t$subfilter=\"[{$title$}]\"\n/>\n<$action-deletetiddler\n\t$tiddler=\"$title$\"\n/>\n</$button>\n</div>\n\\end\n\n\\define shortcut-list-item(caption)\n<td>\n</td>\n<td style=\"text-align:right;font-size:0.7em;\">\n<<lingo Platform/$caption$>>\n</td>\n<td>\n<div style=\"position:relative;\">\n<$button popup=<<qualify \"$:/state/dropdown/$(shortcutTitle)$\">> class=\"tc-btn-invisible\">\n{{$:/core/images/edit-button}}\n</$button>\n<$macrocall $name=\"displayshortcuts\" $output=\"text/html\" shortcuts={{$(shortcutTitle)$}} prefix=\"<kbd>\" separator=\"</kbd> <kbd>\" suffix=\"</kbd>\"/>\n\n<$reveal state=<<qualify \"$:/state/dropdown/$(shortcutTitle)$\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-block-dropdown-wrapper\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown tc-popup-keep\">\n<$list filter=\"[list[$(shortcutTitle)$!!text]sort[title]]\" variable=\"shortcut\" emptyMessage=\"\"\"\n<div class=\"tc-dropdown-item-plain\">\n//<<lingo NoShortcuts/Caption>>//\n</div>\n\"\"\">\n<div class=\"tc-dropdown-item-plain\">\n<$button class=\"tc-btn-invisible\" tooltip={{$:/language/ControlPanel/KeyboardShortcuts/Remove/Hint}}>\n<$action-listops\n\t$tiddler=\"$(shortcutTitle)$\"\n\t$field=\"text\"\n\t$subfilter=\"+[remove<shortcut>]\"\n/>\n<small>{{$:/core/images/close-button}}</small>\n</$button>\n<kbd>\n<$macrocall $name=\"displayshortcuts\" $output=\"text/html\" shortcuts=<<shortcut>>/>\n</kbd>\n</div>\n</$list>\n<hr/>\n<$macrocall $name=\"new-shortcut\" title=<<qualify \"$:/state/new-shortcut/$(shortcutTitle)$\">>/>\n</div>\n</div>\n</$reveal>\n</div>\n</td>\n\\end\n\n\\define shortcut-list(caption,prefix)\n<tr>\n<$list filter=\"[[$prefix$$(shortcutName)$]]\" variable=\"shortcutTitle\">\n<<shortcut-list-item \"$caption$\">>\n</$list>\n</tr>\n\\end\n\n\\define shortcut-editor()\n<<shortcut-list \"All\" \"$:/config/shortcuts/\">>\n<<shortcut-list \"Mac\" \"$:/config/shortcuts-mac/\">>\n<<shortcut-list \"NonMac\" \"$:/config/shortcuts-not-mac/\">>\n<<shortcut-list \"Linux\" \"$:/config/shortcuts-linux/\">>\n<<shortcut-list \"NonLinux\" \"$:/config/shortcuts-not-linux/\">>\n<<shortcut-list \"Windows\" \"$:/config/shortcuts-windows/\">>\n<<shortcut-list \"NonWindows\" \"$:/config/shortcuts-not-windows/\">>\n\\end\n\n\\define shortcut-preview()\n<$macrocall $name=\"displayshortcuts\" $output=\"text/html\" shortcuts={{$(shortcutPrefix)$$(shortcutName)$}} prefix=\"<kbd>\" separator=\"</kbd> <kbd>\" suffix=\"</kbd>\"/>\n\\end\n\n\\define shortcut-item-inner()\n<tr>\n<td>\n<$reveal type=\"nomatch\" state=<<dropdownStateTitle>> text=\"open\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield\n\t$tiddler=<<dropdownStateTitle>>\n\t$value=\"open\"\n/>\n{{$:/core/images/right-arrow}}\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<dropdownStateTitle>> text=\"open\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield\n\t$tiddler=<<dropdownStateTitle>>\n\t$value=\"close\"\n/>\n{{$:/core/images/down-arrow}}\n</$button>\n</$reveal>\n''<$text text=<<shortcutName>>/>''\n</td>\n<td>\n<$transclude tiddler=\"$:/config/ShortcutInfo/$(shortcutName)$\"/>\n</td>\n<td>\n<$list filter=\"$:/config/shortcuts/ $:/config/shortcuts-mac/ $:/config/shortcuts-not-mac/ $:/config/shortcuts-linux/ $:/config/shortcuts-not-linux/ $:/config/shortcuts-windows/ $:/config/shortcuts-not-windows/\" variable=\"shortcutPrefix\">\n<<shortcut-preview>>\n</$list>\n</td>\n</tr>\n<$set name=\"dropdownState\" value={{$(dropdownStateTitle)$}}>\n<$list filter=\"[<dropdownState>match[open]]\" variable=\"listItem\">\n<<shortcut-editor>>\n</$list>\n</$set>\n\\end\n\n\\define shortcut-item()\n<$set name=\"dropdownStateTitle\" value=<<qualify \"$:/state/dropdown/keyboardshortcut/$(shortcutName)$\">>>\n<<shortcut-item-inner>>\n</$set>\n\\end\n\n<table>\n<tbody>\n<$list filter=\"[all[shadows+tiddlers]removeprefix[$:/config/ShortcutInfo/]]\" variable=\"shortcutName\">\n<<shortcut-item>>\n</$list>\n</tbody>\n</table>\n"
},
"$:/core/ui/ControlPanel/LoadedModules": {
"title": "$:/core/ui/ControlPanel/LoadedModules",
"tags": "$:/tags/ControlPanel/Advanced",
"caption": "{{$:/language/ControlPanel/LoadedModules/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/\n<<lingo LoadedModules/Hint>>\n\n{{$:/snippets/modules}}\n"
},
"$:/core/ui/ControlPanel/Modals/AddPlugins": {
"title": "$:/core/ui/ControlPanel/Modals/AddPlugins",
"subtitle": "{{$:/core/images/download-button}} {{$:/language/ControlPanel/Plugins/Add/Caption}}",
"text": "\\define install-plugin-actions()\n<$action-sendmessage $message=\"tm-load-plugin-from-library\" url={{!!url}} title={{$(assetInfo)$!!original-title}}/>\n<$set name=\"url\" value={{!!url}}>\n<$set name=\"currentTiddler\" value=<<assetInfo>>>\n<$list filter=\"[enlist{!!dependents}] [{!!parent-plugin}] +[sort[title]]\" variable=\"dependency\">\n<$action-sendmessage $message=\"tm-load-plugin-from-library\" url=<<url>> title=<<dependency>>/>\n</$list>\n</$set>\n</$set>\n\\end\n\n\\define install-plugin-button()\n<div>\n<$set name=\"libraryVersion\" value={{{ [<assetInfo>get[version]] }}}>\n<$set name=\"installedVersion\" value={{{ [<assetInfo>get[original-title]get[version]] }}}>\n<$set name=\"reinstall-type\" value={{{ [<libraryVersion>compare:version:eq<installedVersion>then[tc-reinstall]] [<libraryVersion>compare:version:gt<installedVersion>then[tc-reinstall-upgrade]] [<libraryVersion>compare:version:lt<installedVersion>then[tc-reinstall-downgrade]] }}}>\n<$button actions=<<install-plugin-actions>> class={{{ [<assetInfo>get[original-title]has[version]then<reinstall-type>] tc-btn-invisible tc-install-plugin +[join[ ]] }}}>\n{{$:/core/images/download-button}}\n<$list filter=\"[<assetInfo>get[original-title]get[version]]\" variable=\"ignore\" emptyMessage=\"{{$:/language/ControlPanel/Plugins/Install/Caption}}\">\n<$list filter=\"[<libraryVersion>compare:version:gt<installedVersion>]\" variable=\"ignore\" emptyMessage=\"\"\"\n<$list filter=\"[<libraryVersion>compare:version:lt<installedVersion>]\" variable=\"ignore\" emptyMessage=\"{{$:/language/ControlPanel/Plugins/Reinstall/Caption}}\">\n{{$:/language/ControlPanel/Plugins/Downgrade/Caption}}\n</$list>\n\"\"\">\n{{$:/language/ControlPanel/Plugins/Update/Caption}}\n</$list>\n</$list>\n</$button>\n<div>\n</div>\n<$reveal stateTitle=<<assetInfo>> stateField=\"requires-reload\" type=\"match\" text=\"yes\">{{$:/language/ControlPanel/Plugins/PluginWillRequireReload}}</$reveal>\n</$set>\n</$set>\n</$set>\n</div>\n\\end\n\n\\define popup-state-macro()\n$:/state/add-plugin-info/$(connectionTiddler)$/$(assetInfo)$\n\\end\n\n\\define display-plugin-info(type)\n<$set name=\"popup-state\" value=<<popup-state-macro>>>\n<div class=\"tc-plugin-info\">\n<div class=\"tc-plugin-info-chunk tc-plugin-info-toggle\">\n<$reveal type=\"nomatch\" state=<<popup-state>> text=\"yes\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<popup-state>> setTo=\"yes\">\n{{$:/core/images/chevron-right}}\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<popup-state>> text=\"yes\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<popup-state>> setTo=\"no\">\n{{$:/core/images/chevron-down}}\n</$button>\n</$reveal>\n</div>\n<div class=\"tc-plugin-info-chunk tc-plugin-info-icon\">\n<$list filter=\"[<assetInfo>has[icon]]\" emptyMessage=\"\"\"<$transclude tiddler=\"$:/core/images/plugin-generic-$type$\"/>\"\"\">\n<img src={{$(assetInfo)$!!icon}}/>\n</$list>\n</div>\n<div class=\"tc-plugin-info-chunk tc-plugin-info-description\">\n<h1><strong><$text text={{{ [<assetInfo>get[name]] ~[<assetInfo>get[original-title]split[/]last[1]] }}}/></strong>: <$view tiddler=<<assetInfo>> field=\"description\"/></h1>\n<h2><$view tiddler=<<assetInfo>> field=\"original-title\"/></h2>\n<div><em><$view tiddler=<<assetInfo>> field=\"version\"/></em></div>\n<$list filter=\"[<assetInfo>get[original-title]get[version]]\" variable=\"installedVersion\"><div><em>{{$:/language/ControlPanel/Plugins/AlreadyInstalled/Hint}}</em></div></$list>\n</div>\n<div class=\"tc-plugin-info-chunk tc-plugin-info-buttons\">\n<<install-plugin-button>>\n</div>\n</div>\n<$set name=\"original-title\" value={{{ [<assetInfo>get[original-title]] }}}>\n<$reveal type=\"match\" text=\"yes\" state=<<popup-state>>>\n<div class=\"tc-plugin-info-dropdown\">\n<$list filter=\"[enlist{!!dependents}] [<currentTiddler>get[parent-plugin]] +[limit[1]] ~[<assetInfo>get[original-title]!is[tiddler]]\" variable=\"ignore\">\n<div class=\"tc-plugin-info-dropdown-message\">\n<$list filter=\"[<assetInfo>get[original-title]!is[tiddler]]\">\n{{$:/language/ControlPanel/Plugins/NotInstalled/Hint}}\n</$list>\n<$set name=\"currentTiddler\" value=<<assetInfo>>>\n<$list filter=\"[enlist{!!dependents}] [<currentTiddler>get[parent-plugin]] +[limit[1]]\" variable=\"ignore\">\n<div>\n{{$:/language/ControlPanel/Plugins/AlsoRequires}}\n<$list filter=\"[enlist{!!dependents}] [{!!parent-plugin}] +[sort[title]]\" variable=\"dependency\">\n<$text text=<<dependency>>/>\n</$list>\n</div>\n</$list>\n</$set>\n</div>\n</$list>\n<div class=\"tc-plugin-info-dropdown-body\">\n<$transclude tiddler=<<assetInfo>> field=\"readme\" mode=\"block\"/>\n</div>\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[$type$]has[parent-plugin]parent-plugin<original-title>limit[1]]\" variable=\"ignore\">\n<div class=\"tc-plugin-info-sub-plugins\">\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[$type$]has[parent-plugin]parent-plugin<original-title>sort[title]]\" variable=\"assetInfo\">\n<<display-plugin-info \"$type$\">>\n</$list>\n</div>\n</$list>\n</div>\n</$reveal>\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[$type$]has[parent-plugin]parent-plugin<original-title>limit[1]]\" variable=\"ignore\">\n<$reveal type=\"nomatch\" text=\"yes\" state=<<popup-state>> tag=\"div\" class=\"tc-plugin-info-sub-plugin-indicator\">\n<$wikify name=\"count\" text=\"\"\"<$count filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[$type$]has[parent-plugin]parent-plugin<original-title>]\"/>\"\"\">\n<$button class=\"tc-btn-invisible\" set=<<popup-state>> setTo=\"yes\">\n{{$:/language/ControlPanel/Plugins/SubPluginPrompt}}\n</$button>\n</$wikify>\n</$reveal>\n</$list>\n</$set>\n</$set>\n\\end\n\n\\define load-plugin-library-button()\n<$button class=\"tc-btn-big-green\">\n<$action-sendmessage $message=\"tm-load-plugin-library\" url={{!!url}} infoTitlePrefix=\"$:/temp/RemoteAssetInfo/\"/>\n{{$:/core/images/chevron-right}} {{$:/language/ControlPanel/Plugins/OpenPluginLibrary}}\n</$button>\n\\end\n\n\\define display-server-assets(type)\n{{$:/language/Search/Search}}: <$edit-text tiddler=\"\"\"$:/temp/RemoteAssetSearch/$(currentTiddler)$\"\"\" default=\"\" type=\"search\" tag=\"input\"/>\n<$reveal state=\"\"\"$:/temp/RemoteAssetSearch/$(currentTiddler)$\"\"\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"\"\"$:/temp/RemoteAssetSearch/$(currentTiddler)$\"\"\" $field=\"text\" $value=\"\"/>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n<div class=\"tc-plugin-library-listing\">\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[$type$]search:author,description,original-title,readme,title{$:/temp/RemoteAssetSearch/$(currentTiddler)$}sort[title]]\" variable=\"assetInfo\">\n<$list filter=\"[[$:/temp/RemoteAssetSearch/$(currentTiddler)$]has[text]] ~[<assetInfo>!has[parent-plugin]]\" variable=\"ignore\"><!-- Hide sub-plugins if we're not searching -->\n<<display-plugin-info \"$type$\">>\n</$list>\n</$list>\n</div>\n\\end\n\n\\define display-server-connection()\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/ServerConnection]suffix{!!url}]\" variable=\"connectionTiddler\" emptyMessage=<<load-plugin-library-button>>>\n\n<$set name=\"transclusion\" value=<<connectionTiddler>>>\n\n<<tabs \"[[$:/core/ui/ControlPanel/Plugins/Add/Updates]] [[$:/core/ui/ControlPanel/Plugins/Add/Plugins]] [[$:/core/ui/ControlPanel/Plugins/Add/Themes]] [[$:/core/ui/ControlPanel/Plugins/Add/Languages]]\" \"$:/core/ui/ControlPanel/Plugins/Add/Plugins\">>\n\n</$set>\n\n</$list>\n\\end\n\n\\define close-library-button()\n<$reveal type='nomatch' state='$:/temp/ServerConnection/$(PluginLibraryURL)$' text=''>\n<$button class='tc-btn-big-green'>\n<$action-sendmessage $message=\"tm-unload-plugin-library\" url={{!!url}}/>\n{{$:/core/images/chevron-left}} {{$:/language/ControlPanel/Plugins/ClosePluginLibrary}}\n<$action-deletetiddler $filter=\"[prefix[$:/temp/ServerConnection/$(PluginLibraryURL)$]][prefix[$:/temp/RemoteAssetInfo/$(PluginLibraryURL)$]]\"/>\n</$button>\n</$reveal>\n\\end\n\n\\define plugin-library-listing()\n<div class=\"tc-tab-set\">\n<$set name=\"defaultTab\" value={{{ [all[tiddlers+shadows]tag[$:/tags/PluginLibrary]] }}}>\n<div class=\"tc-tab-buttons\">\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/PluginLibrary]]\">\n<$button set=<<qualify \"$:/state/addplugins/tab\">> setTo=<<currentTiddler>> default=<<defaultTab>> selectedClass=\"tc-tab-selected\">\n<$set name=\"tv-wikilinks\" value=\"no\">\n<$transclude field=\"caption\"/>\n</$set>\n</$button>\n</$list>\n</div>\n<div class=\"tc-tab-divider\"/>\n<div class=\"tc-tab-content\">\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/PluginLibrary]]\">\n<$reveal type=\"match\" state=<<qualify \"$:/state/addplugins/tab\">> text=<<currentTiddler>> default=<<defaultTab>>>\n<h2><$link><$transclude field=\"caption\"><$view field=\"title\"/></$transclude></$link></h2>\n//<$view field=\"url\"/>//\n<$transclude mode=\"block\"/>\n<$set name=PluginLibraryURL value={{!!url}}>\n<<close-library-button>>\n</$set>\n<<display-server-connection>>\n</$reveal>\n</$list>\n</div>\n</$set>\n</div>\n\\end\n\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n\n<div>\n<<plugin-library-listing>>\n</div>\n"
},
"$:/core/ui/ControlPanel/Palette": {
"title": "$:/core/ui/ControlPanel/Palette",
"tags": "$:/tags/ControlPanel/Appearance",
"caption": "{{$:/language/ControlPanel/Palette/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Palette/\n\n{{$:/snippets/paletteswitcher}}\n\n<$reveal type=\"nomatch\" state=\"$:/state/ShowPaletteEditor\" text=\"yes\">\n\n<$button set=\"$:/state/ShowPaletteEditor\" setTo=\"yes\"><<lingo ShowEditor/Caption>></$button>\n\n</$reveal>\n\n<$reveal type=\"match\" state=\"$:/state/ShowPaletteEditor\" text=\"yes\">\n\n<$button set=\"$:/state/ShowPaletteEditor\" setTo=\"no\"><<lingo HideEditor/Caption>></$button>\n{{$:/PaletteManager}}\n\n</$reveal>\n\n"
},
"$:/core/ui/ControlPanel/Parsing": {
"title": "$:/core/ui/ControlPanel/Parsing",
"tags": "$:/tags/ControlPanel/Advanced",
"caption": "{{$:/language/ControlPanel/Parsing/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Parsing/\n\n\\define toggle(Type)\n<$checkbox\ntiddler=\"\"\"$:/config/WikiParserRules/$Type$/$(rule)$\"\"\"\nfield=\"text\"\nchecked=\"enable\"\nunchecked=\"disable\"\ndefault=\"enable\">\n<<rule>>\n</$checkbox>\n\\end\n\n\\define rules(type,Type)\n<$list filter=\"[wikiparserrules[$type$]]\" variable=\"rule\">\n<dd><<toggle $Type$>></dd>\n</$list>\n\\end\n\n<<lingo Hint>>\n\n<dl>\n<dt><<lingo Pragma/Caption>></dt>\n<<rules pragma Pragma>>\n<dt><<lingo Inline/Caption>></dt>\n<<rules inline Inline>>\n<dt><<lingo Block/Caption>></dt>\n<<rules block Block>>\n</dl>"
},
"$:/core/ui/ControlPanel/Plugins/Add/Languages": {
"title": "$:/core/ui/ControlPanel/Plugins/Add/Languages",
"caption": "{{$:/language/ControlPanel/Plugins/Languages/Caption}} (<$count filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[language]]\"/>)",
"text": "<<display-server-assets language>>\n"
},
"$:/core/ui/ControlPanel/Plugins/Add/Plugins": {
"title": "$:/core/ui/ControlPanel/Plugins/Add/Plugins",
"caption": "{{$:/language/ControlPanel/Plugins/Plugins/Caption}} (<$count filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[plugin]]\"/>)",
"text": "<<display-server-assets plugin>>\n"
},
"$:/core/ui/ControlPanel/Plugins/Add/Themes": {
"title": "$:/core/ui/ControlPanel/Plugins/Add/Themes",
"caption": "{{$:/language/ControlPanel/Plugins/Themes/Caption}} (<$count filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[theme]]\"/>)",
"text": "<<display-server-assets theme>>\n"
},
"$:/core/ui/ControlPanel/Plugins/Add/Updates": {
"title": "$:/core/ui/ControlPanel/Plugins/Add/Updates",
"caption": "<$importvariables filter=\"$:/core/ui/ControlPanel/Plugins/Add/Updates\">{{$:/language/ControlPanel/Plugins/Updates/Caption}} (<<update-count>>)</$importvariables>",
"text": "\\define each-updateable-plugin(body)\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}sort[title]]\" variable=\"assetInfo\">\n<$set name=\"libraryVersion\" value={{{ [<assetInfo>get[version]] }}}>\n<$list filter=\"[<assetInfo>get[original-title]has[version]!version<libraryVersion>]\" variable=\"ignore\">\n<$set name=\"installedVersion\" value={{{ [<assetInfo>get[original-title]get[version]] }}}>\n<$list filter=\"[<installedversion>!match<libraryVersion>]\" variable=\"ignore\">\n$body$\n</$list>\n</$set>\n</$list>\n</$set>\n</$list>\n\\end\n\n\\define update-all-actions()\n<$macrocall $name=\"each-updateable-plugin\" body=\"\"\"\n<<install-plugin-actions>>\n\"\"\"/>\n\\end\n\n\\define update-count()\n<$wikify name=\"count-filter\" text=<<each-updateable-plugin \"[[<$text text=<<assetInfo>>/>]]\">>><$count filter=<<count-filter>>/></$wikify>\n\\end\n\n<$button actions=<<update-all-actions>> class=\"tc-btn-invisible tc-install-plugin tc-reinstall-upgrade\">\n{{$:/core/images/download-button}} {{||$:/language/ControlPanel/Plugins/Updates/UpdateAll/Caption}}\n</$button>\n\n<div class=\"tc-plugin-library-listing\">\n<$macrocall $name=\"each-updateable-plugin\" body=\"\"\"\n<$macrocall $name=\"display-plugin-info\" type={{{ [<assetInfo>get[original-plugin-type]] }}}/>\n\"\"\"/>\n</div>\n"
},
"$:/core/ui/ControlPanel/Plugins/AddPlugins": {
"title": "$:/core/ui/ControlPanel/Plugins/AddPlugins",
"text": "\\define lingo-base() $:/language/ControlPanel/Plugins/\n\n<$button message=\"tm-modal\" param=\"$:/core/ui/ControlPanel/Modals/AddPlugins\" tooltip={{$:/language/ControlPanel/Plugins/Add/Hint}} class=\"tc-btn-big-green tc-primary-btn\">\n{{$:/core/images/download-button}} <<lingo Add/Caption>>\n</$button>\n"
},
"$:/core/ui/ControlPanel/Plugins/Installed/Languages": {
"title": "$:/core/ui/ControlPanel/Plugins/Installed/Languages",
"caption": "{{$:/language/ControlPanel/Plugins/Languages/Caption}} (<$count filter=\"[!has[draft.of]plugin-type[language]]\"/>)",
"text": "<<plugin-table language>>\n"
},
"$:/core/ui/ControlPanel/Plugins/Installed/Plugins": {
"title": "$:/core/ui/ControlPanel/Plugins/Installed/Plugins",
"caption": "{{$:/language/ControlPanel/Plugins/Plugins/Caption}} (<$count filter=\"[!has[draft.of]plugin-type[plugin]]\"/>)",
"text": "<<plugin-table plugin>>\n"
},
"$:/core/ui/ControlPanel/Plugins/Installed/Themes": {
"title": "$:/core/ui/ControlPanel/Plugins/Installed/Themes",
"caption": "{{$:/language/ControlPanel/Plugins/Themes/Caption}} (<$count filter=\"[!has[draft.of]plugin-type[theme]]\"/>)",
"text": "<<plugin-table theme>>\n"
},
"$:/core/ui/ControlPanel/Plugins": {
"title": "$:/core/ui/ControlPanel/Plugins",
"tags": "$:/tags/ControlPanel",
"caption": "{{$:/language/ControlPanel/Plugins/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Plugins/\n\n\\define plugin-table(type)\n<$set name=\"plugin-type\" value=\"\"\"$type$\"\"\">\n<$set name=\"qualified-state\" value=<<qualify \"$:/state/plugin-info\">>>\n<$list filter=\"[!has[draft.of]plugin-type[$type$]sort[title]]\" emptyMessage=<<lingo \"Empty/Hint\">> template=\"$:/core/ui/Components/plugin-info\"/>\n</$set>\n</$set>\n\\end\n\n{{$:/core/ui/ControlPanel/Plugins/AddPlugins}}\n\n<<lingo Installed/Hint>>\n\n<<tabs \"[[$:/core/ui/ControlPanel/Plugins/Installed/Plugins]] [[$:/core/ui/ControlPanel/Plugins/Installed/Themes]] [[$:/core/ui/ControlPanel/Plugins/Installed/Languages]]\" \"$:/core/ui/ControlPanel/Plugins/Installed/Plugins\">>\n"
},
"$:/core/ui/ControlPanel/Saving/DownloadSaver": {
"title": "$:/core/ui/ControlPanel/Saving/DownloadSaver",
"tags": "$:/tags/ControlPanel/Saving",
"caption": "{{$:/language/ControlPanel/Saving/DownloadSaver/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Saving/DownloadSaver/\n\n<<lingo Hint>>\n\n!! <$link to=\"$:/config/DownloadSaver/AutoSave\"><<lingo AutoSave/Hint>></$link>\n\n<$checkbox tiddler=\"$:/config/DownloadSaver/AutoSave\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"no\"> <<lingo AutoSave/Description>> </$checkbox>\n"
},
"$:/core/ui/ControlPanel/Saving/General": {
"title": "$:/core/ui/ControlPanel/Saving/General",
"tags": "$:/tags/ControlPanel/Saving",
"caption": "{{$:/language/ControlPanel/Saving/General/Caption}}",
"list-before": "",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/\n\n{{$:/language/ControlPanel/Saving/General/Hint}}\n\n!! <$link to=\"$:/config/AutoSave\"><<lingo AutoSave/Caption>></$link>\n\n<<lingo AutoSave/Hint>>\n\n<$radio tiddler=\"$:/config/AutoSave\" value=\"yes\"> <<lingo AutoSave/Enabled/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/AutoSave\" value=\"no\"> <<lingo AutoSave/Disabled/Description>> </$radio>\n"
},
"$:/core/ui/ControlPanel/Saving/GitHub": {
"title": "$:/core/ui/ControlPanel/Saving/GitHub",
"tags": "$:/tags/ControlPanel/Saving",
"caption": "{{$:/language/ControlPanel/Saving/GitService/GitHub/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Saving/GitService/\n\\define service-name() ~GitHub\n\n<<lingo Description>>\n\n|<<lingo UserName>> |<$edit-text tiddler=\"$:/GitHub/Username\" default=\"\" tag=\"input\"/> |\n|<<lingo GitHub/Password>> |<$password name=\"github\"/> |\n|<<lingo Repo>> |<$edit-text tiddler=\"$:/GitHub/Repo\" default=\"\" tag=\"input\"/> |\n|<<lingo Branch>> |<$edit-text tiddler=\"$:/GitHub/Branch\" default=\"master\" tag=\"input\"/> |\n|<<lingo Path>> |<$edit-text tiddler=\"$:/GitHub/Path\" default=\"\" tag=\"input\"/> |\n|<<lingo Filename>> |<$edit-text tiddler=\"$:/GitHub/Filename\" default=\"\" tag=\"input\"/> |\n|<<lingo ServerURL>> |<$edit-text tiddler=\"$:/GitHub/ServerURL\" default=\"https://api.github.com\" tag=\"input\"/> |"
},
"$:/core/ui/ControlPanel/Saving/GitLab": {
"title": "$:/core/ui/ControlPanel/Saving/GitLab",
"tags": "$:/tags/ControlPanel/Saving",
"caption": "{{$:/language/ControlPanel/Saving/GitService/GitLab/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Saving/GitService/\n\\define service-name() ~GitLab\n\n<<lingo Description>>\n\n|<<lingo UserName>> |<$edit-text tiddler=\"$:/GitLab/Username\" default=\"\" tag=\"input\"/> |\n|<<lingo GitLab/Password>> |<$password name=\"gitlab\"/> |\n|<<lingo Repo>> |<$edit-text tiddler=\"$:/GitLab/Repo\" default=\"\" tag=\"input\"/> |\n|<<lingo Branch>> |<$edit-text tiddler=\"$:/GitLab/Branch\" default=\"master\" tag=\"input\"/> |\n|<<lingo Path>> |<$edit-text tiddler=\"$:/GitLab/Path\" default=\"\" tag=\"input\"/> |\n|<<lingo Filename>> |<$edit-text tiddler=\"$:/GitLab/Filename\" default=\"\" tag=\"input\"/> |\n|<<lingo ServerURL>> |<$edit-text tiddler=\"$:/GitLab/ServerURL\" default=\"https://gitlab.com/api/v4\" tag=\"input\"/> |"
},
"$:/core/ui/ControlPanel/Saving/TiddlySpot": {
"title": "$:/core/ui/ControlPanel/Saving/TiddlySpot",
"tags": "$:/tags/ControlPanel/Saving",
"caption": "{{$:/language/ControlPanel/Saving/TiddlySpot/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Saving/TiddlySpot/\n\n\\define backupURL()\nhttp://$(userName)$.tiddlyspot.com/backup/\n\\end\n\\define backupLink()\n<$reveal type=\"nomatch\" state=\"$:/UploadName\" text=\"\">\n<$set name=\"userName\" value={{$:/UploadName}}>\n<$reveal type=\"match\" state=\"$:/UploadURL\" text=\"\">\n<<backupURL>>\n</$reveal>\n<$reveal type=\"nomatch\" state=\"$:/UploadURL\" text=\"\">\n<$macrocall $name=resolvePath source={{$:/UploadBackupDir}} root={{$:/UploadURL}}>>\n</$reveal>\n</$set>\n</$reveal>\n\\end\n\n<<lingo Description>>\n\n|<<lingo UserName>> |<$edit-text tiddler=\"$:/UploadName\" default=\"\" tag=\"input\"/> |\n|<<lingo Password>> |<$password name=\"upload\"/> |\n|<<lingo Backups>> |<<backupLink>> |\n\n''<<lingo Advanced/Heading>>''\n\n|<<lingo ServerURL>> |<$edit-text tiddler=\"$:/UploadURL\" default=\"\" tag=\"input\"/> |\n|<<lingo Filename>> |<$edit-text tiddler=\"$:/UploadFilename\" default=\"index.html\" tag=\"input\"/> |\n|<<lingo UploadDir>> |<$edit-text tiddler=\"$:/UploadDir\" default=\".\" tag=\"input\"/> |\n|<<lingo BackupDir>> |<$edit-text tiddler=\"$:/UploadBackupDir\" default=\".\" tag=\"input\"/> |\n\n<<lingo TiddlySpot/Hint>>"
},
"$:/core/ui/ControlPanel/Saving/Gitea": {
"title": "$:/core/ui/ControlPanel/Saving/Gitea",
"tags": "$:/tags/ControlPanel/Saving",
"caption": "{{$:/language/ControlPanel/Saving/GitService/Gitea/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Saving/GitService/\n\\define service-name() ~Gitea\n\n<<lingo Description>>\n\n|<<lingo UserName>> |<$edit-text tiddler=\"$:/Gitea/Username\" default=\"\" tag=\"input\"/> |\n|<<lingo Gitea/Password>> |<$password name=\"Gitea\"/> |\n|<<lingo Repo>> |<$edit-text tiddler=\"$:/Gitea/Repo\" default=\"\" tag=\"input\"/> |\n|<<lingo Branch>> |<$edit-text tiddler=\"$:/Gitea/Branch\" default=\"master\" tag=\"input\"/> |\n|<<lingo Path>> |<$edit-text tiddler=\"$:/Gitea/Path\" default=\"\" tag=\"input\"/> |\n|<<lingo Filename>> |<$edit-text tiddler=\"$:/Gitea/Filename\" default=\"\" tag=\"input\"/> |\n|<<lingo ServerURL>> |<$edit-text tiddler=\"$:/Gitea/ServerURL\" default=\"https://gitea/api/v1\" tag=\"input\"/> |\n"
},
"$:/core/ui/ControlPanel/Saving": {
"title": "$:/core/ui/ControlPanel/Saving",
"tags": "$:/tags/ControlPanel",
"caption": "{{$:/language/ControlPanel/Saving/Caption}}",
"text": "{{$:/language/ControlPanel/Saving/Hint}}\n\n<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Saving]!has[draft.of]]\" \"$:/core/ui/ControlPanel/Saving/General\">>\n</div>\n"
},
"$:/core/buttonstyles/Borderless": {
"title": "$:/core/buttonstyles/Borderless",
"tags": "$:/tags/ToolbarButtonStyle",
"caption": "{{$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Borderless}}",
"text": "tc-btn-invisible"
},
"$:/core/buttonstyles/Boxed": {
"title": "$:/core/buttonstyles/Boxed",
"tags": "$:/tags/ToolbarButtonStyle",
"caption": "{{$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Boxed}}",
"text": "tc-btn-boxed"
},
"$:/core/buttonstyles/Rounded": {
"title": "$:/core/buttonstyles/Rounded",
"tags": "$:/tags/ToolbarButtonStyle",
"caption": "{{$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Rounded}}",
"text": "tc-btn-rounded"
},
"$:/core/ui/ControlPanel/Settings/CamelCase": {
"title": "$:/core/ui/ControlPanel/Settings/CamelCase",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/CamelCase/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/CamelCase/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/WikiParserRules/Inline/wikilink\" field=\"text\" checked=\"enable\" unchecked=\"disable\" default=\"enable\"> <$link to=\"$:/config/WikiParserRules/Inline/wikilink\"><<lingo Description>></$link> </$checkbox>\n"
},
"$:/core/ui/ControlPanel/Settings/DefaultMoreSidebarTab": {
"title": "$:/core/ui/ControlPanel/Settings/DefaultMoreSidebarTab",
"caption": "{{$:/language/ControlPanel/Settings/DefaultMoreSidebarTab/Caption}}",
"tags": "$:/tags/ControlPanel/Settings",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/DefaultMoreSidebarTab/\n\n<$link to=\"$:/config/DefaultMoreSidebarTab\"><<lingo Hint>></$link>\n\n<$select tiddler=\"$:/config/DefaultMoreSidebarTab\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/MoreSideBar]!has[draft.of]]\">\n<option value=<<currentTiddler>>><$transclude field=\"caption\"><$text text=<<currentTiddler>>/></$transclude></option>\n</$list>\n</$select>\n"
},
"$:/core/ui/ControlPanel/Settings/DefaultSidebarTab": {
"title": "$:/core/ui/ControlPanel/Settings/DefaultSidebarTab",
"caption": "{{$:/language/ControlPanel/Settings/DefaultSidebarTab/Caption}}",
"tags": "$:/tags/ControlPanel/Settings",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/DefaultSidebarTab/\n\n<$link to=\"$:/config/DefaultSidebarTab\"><<lingo Hint>></$link>\n\n<$select tiddler=\"$:/config/DefaultSidebarTab\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SideBar]!has[draft.of]]\">\n<option value=<<currentTiddler>>><$transclude field=\"caption\"><$text text=<<currentTiddler>>/></$transclude></option>\n</$list>\n</$select>\n"
},
"$:/core/ui/ControlPanel/Settings/EditorToolbar": {
"title": "$:/core/ui/ControlPanel/Settings/EditorToolbar",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/EditorToolbar/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/EditorToolbar/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/TextEditor/EnableToolbar\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/TextEditor/EnableToolbar\"><<lingo Description>></$link> </$checkbox>\n\n"
},
"$:/core/ui/ControlPanel/Settings/InfoPanelMode": {
"title": "$:/core/ui/ControlPanel/Settings/InfoPanelMode",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/InfoPanelMode/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/InfoPanelMode/\n<$link to=\"$:/config/TiddlerInfo/Mode\"><<lingo Hint>></$link>\n\n<$radio tiddler=\"$:/config/TiddlerInfo/Mode\" value=\"popup\"> <<lingo Popup/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/TiddlerInfo/Mode\" value=\"sticky\"> <<lingo Sticky/Description>> </$radio>\n"
},
"$:/core/ui/ControlPanel/Settings/LinkToBehaviour": {
"title": "$:/core/ui/ControlPanel/Settings/LinkToBehaviour",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/LinkToBehaviour/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/LinkToBehaviour/\n\n<$link to=\"$:/config/Navigation/openLinkFromInsideRiver\"><<lingo \"InsideRiver/Hint\">></$link>\n\n<$select tiddler=\"$:/config/Navigation/openLinkFromInsideRiver\">\n <option value=\"above\"><<lingo \"OpenAbove\">></option>\n <option value=\"below\"><<lingo \"OpenBelow\">></option>\n <option value=\"top\"><<lingo \"OpenAtTop\">></option>\n <option value=\"bottom\"><<lingo \"OpenAtBottom\">></option>\n</$select>\n\n<$link to=\"$:/config/Navigation/openLinkFromOutsideRiver\"><<lingo \"OutsideRiver/Hint\">></$link>\n\n<$select tiddler=\"$:/config/Navigation/openLinkFromOutsideRiver\">\n <option value=\"top\"><<lingo \"OpenAtTop\">></option>\n <option value=\"bottom\"><<lingo \"OpenAtBottom\">></option>\n</$select>\n"
},
"$:/core/ui/ControlPanel/Settings/MissingLinks": {
"title": "$:/core/ui/ControlPanel/Settings/MissingLinks",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/MissingLinks/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/MissingLinks/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/MissingLinks\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/MissingLinks\"><<lingo Description>></$link> </$checkbox>\n\n"
},
"$:/core/ui/ControlPanel/Settings/NavigationAddressBar": {
"title": "$:/core/ui/ControlPanel/Settings/NavigationAddressBar",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/NavigationAddressBar/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/NavigationAddressBar/\n\n<$link to=\"$:/config/Navigation/UpdateAddressBar\"><<lingo Hint>></$link>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateAddressBar\" value=\"permaview\"> <<lingo Permaview/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateAddressBar\" value=\"permalink\"> <<lingo Permalink/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateAddressBar\" value=\"no\"> <<lingo No/Description>> </$radio>\n"
},
"$:/core/ui/ControlPanel/Settings/NavigationHistory": {
"title": "$:/core/ui/ControlPanel/Settings/NavigationHistory",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/NavigationHistory/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/NavigationHistory/\n<$link to=\"$:/config/Navigation/UpdateHistory\"><<lingo Hint>></$link>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateHistory\" value=\"yes\"> <<lingo Yes/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateHistory\" value=\"no\"> <<lingo No/Description>> </$radio>\n"
},
"$:/core/ui/ControlPanel/Settings/NavigationPermalinkviewMode": {
"title": "$:/core/ui/ControlPanel/Settings/NavigationPermalinkviewMode",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/NavigationPermalinkviewMode/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/NavigationPermalinkviewMode/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/Navigation/Permalinkview/CopyToClipboard\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/Navigation/Permalinkview/CopyToClipboard\"><<lingo CopyToClipboard/Description>></$link> </$checkbox>\n\n<$checkbox tiddler=\"$:/config/Navigation/Permalinkview/UpdateAddressBar\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/Navigation/Permalinkview/UpdateAddressBar\"><<lingo UpdateAddressBar/Description>></$link> </$checkbox>\n"
},
"$:/core/ui/ControlPanel/Settings/PerformanceInstrumentation": {
"title": "$:/core/ui/ControlPanel/Settings/PerformanceInstrumentation",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/PerformanceInstrumentation/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/PerformanceInstrumentation/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/Performance/Instrumentation\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"no\"> <$link to=\"$:/config/Performance/Instrumentation\"><<lingo Description>></$link> </$checkbox>\n"
},
"$:/core/ui/ControlPanel/Settings/TitleLinks": {
"title": "$:/core/ui/ControlPanel/Settings/TitleLinks",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/TitleLinks/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/TitleLinks/\n<$link to=\"$:/config/Tiddlers/TitleLinks\"><<lingo Hint>></$link>\n\n<$radio tiddler=\"$:/config/Tiddlers/TitleLinks\" value=\"yes\"> <<lingo Yes/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/Tiddlers/TitleLinks\" value=\"no\"> <<lingo No/Description>> </$radio>\n"
},
"$:/core/ui/ControlPanel/Settings/ToolbarButtonStyle": {
"title": "$:/core/ui/ControlPanel/Settings/ToolbarButtonStyle",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/ToolbarButtonStyle/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/ToolbarButtonStyle/\n<$link to=\"$:/config/Toolbar/ButtonClass\"><<lingo \"Hint\">></$link>\n\n<$select tiddler=\"$:/config/Toolbar/ButtonClass\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ToolbarButtonStyle]]\">\n<option value={{!!text}}>{{!!caption}}</option>\n</$list>\n</$select>\n"
},
"$:/core/ui/ControlPanel/Settings/ToolbarButtons": {
"title": "$:/core/ui/ControlPanel/Settings/ToolbarButtons",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/ToolbarButtons/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/ToolbarButtons/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/Toolbar/Icons\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/Toolbar/Icons\"><<lingo Icons/Description>></$link> </$checkbox>\n\n<$checkbox tiddler=\"$:/config/Toolbar/Text\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"no\"> <$link to=\"$:/config/Toolbar/Text\"><<lingo Text/Description>></$link> </$checkbox>\n"
},
"$:/core/ui/ControlPanel/Settings": {
"title": "$:/core/ui/ControlPanel/Settings",
"tags": "$:/tags/ControlPanel",
"caption": "{{$:/language/ControlPanel/Settings/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/\n\n<<lingo Hint>>\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Settings]]\">\n\n<div style=\"border-top:1px solid #eee;\">\n\n!! <$link><$transclude field=\"caption\"/></$link>\n\n<$transclude/>\n\n</div>\n\n</$list>\n"
},
"$:/core/ui/ControlPanel/StoryView": {
"title": "$:/core/ui/ControlPanel/StoryView",
"tags": "$:/tags/ControlPanel/Appearance",
"caption": "{{$:/language/ControlPanel/StoryView/Caption}}",
"text": "{{$:/snippets/viewswitcher}}\n"
},
"$:/core/ui/ControlPanel/Stylesheets": {
"title": "$:/core/ui/ControlPanel/Stylesheets",
"tags": "$:/tags/ControlPanel/Advanced",
"caption": "{{$:/language/ControlPanel/Stylesheets/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/\n\n<<lingo Stylesheets/Hint>>\n\n{{$:/snippets/peek-stylesheets}}\n"
},
"$:/core/ui/ControlPanel/Theme": {
"title": "$:/core/ui/ControlPanel/Theme",
"tags": "$:/tags/ControlPanel/Appearance",
"caption": "{{$:/language/ControlPanel/Theme/Caption}}",
"text": "{{$:/snippets/themeswitcher}}\n"
},
"$:/core/ui/ControlPanel/TiddlerFields": {
"title": "$:/core/ui/ControlPanel/TiddlerFields",
"tags": "$:/tags/ControlPanel/Advanced",
"caption": "{{$:/language/ControlPanel/TiddlerFields/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/\n\n<<lingo TiddlerFields/Hint>>\n\n{{$:/snippets/allfields}}"
},
"$:/core/ui/ControlPanel/Toolbars/EditToolbar": {
"title": "$:/core/ui/ControlPanel/Toolbars/EditToolbar",
"tags": "$:/tags/ControlPanel/Toolbars",
"caption": "{{$:/language/ControlPanel/Toolbars/EditToolbar/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n\n\\define config-base() $:/config/EditToolbarButtons/Visibility/\n\n{{$:/language/ControlPanel/Toolbars/EditToolbar/Hint}}\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/EditToolbar\" itemTemplate=\"$:/core/ui/ControlPanel/Toolbars/ItemTemplate\"/>\n\n</$set>\n\n</$set>"
},
"$:/core/ui/ControlPanel/Toolbars/EditorItemTemplate": {
"title": "$:/core/ui/ControlPanel/Toolbars/EditorItemTemplate",
"text": "\\define config-title()\n$(config-base)$$(currentTiddler)$\n\\end\n\n<$draggable tiddler=<<currentTiddler>>>\n<$checkbox tiddler=<<config-title>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/> <span class=\"tc-icon-wrapper\"><$transclude tiddler={{!!icon}}/></span> <$transclude field=\"caption\"/> -- <i class=\"tc-muted\"><$transclude field=\"description\"/></i>\n</$draggable>\n"
},
"$:/core/ui/ControlPanel/Toolbars/EditorToolbar": {
"title": "$:/core/ui/ControlPanel/Toolbars/EditorToolbar",
"tags": "$:/tags/ControlPanel/Toolbars",
"caption": "{{$:/language/ControlPanel/Toolbars/EditorToolbar/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n\n\\define config-base() $:/config/EditorToolbarButtons/Visibility/\n\n{{$:/language/ControlPanel/Toolbars/EditorToolbar/Hint}}\n\n<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/EditorToolbar\" itemTemplate=\"$:/core/ui/ControlPanel/Toolbars/EditorItemTemplate\"/>\n"
},
"$:/core/ui/ControlPanel/Toolbars/ItemTemplate": {
"title": "$:/core/ui/ControlPanel/Toolbars/ItemTemplate",
"text": "\\define config-title()\n$(config-base)$$(currentTiddler)$\n\\end\n\n<$draggable tiddler=<<currentTiddler>>>\n<$checkbox tiddler=<<config-title>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/> <span class=\"tc-icon-wrapper\"> <$transclude field=\"caption\"/> <i class=\"tc-muted\">-- <$transclude field=\"description\"/></i></span>\n</$draggable>\n"
},
"$:/core/ui/ControlPanel/Toolbars/PageControls": {
"title": "$:/core/ui/ControlPanel/Toolbars/PageControls",
"tags": "$:/tags/ControlPanel/Toolbars",
"caption": "{{$:/language/ControlPanel/Toolbars/PageControls/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n\n\\define config-base() $:/config/PageControlButtons/Visibility/\n\n{{$:/language/ControlPanel/Toolbars/PageControls/Hint}}\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/PageControls\" itemTemplate=\"$:/core/ui/ControlPanel/Toolbars/ItemTemplate\"/>\n\n</$set>\n\n</$set>\n"
},
"$:/core/ui/ControlPanel/Toolbars/ViewToolbar": {
"title": "$:/core/ui/ControlPanel/Toolbars/ViewToolbar",
"tags": "$:/tags/ControlPanel/Toolbars",
"caption": "{{$:/language/ControlPanel/Toolbars/ViewToolbar/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n\n\\define config-base() $:/config/ViewToolbarButtons/Visibility/\n\n{{$:/language/ControlPanel/Toolbars/ViewToolbar/Hint}}\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/ViewToolbar\" itemTemplate=\"$:/core/ui/ControlPanel/Toolbars/ItemTemplate\"/>\n\n</$set>\n\n</$set>\n"
},
"$:/core/ui/ControlPanel/Toolbars": {
"title": "$:/core/ui/ControlPanel/Toolbars",
"tags": "$:/tags/ControlPanel/Appearance",
"caption": "{{$:/language/ControlPanel/Toolbars/Caption}}",
"text": "{{$:/language/ControlPanel/Toolbars/Hint}}\n\n<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Toolbars]!has[draft.of]]\" \"$:/core/ui/ControlPanel/Toolbars/ViewToolbar\" \"$:/state/tabs/controlpanel/toolbars\" \"tc-vertical\">>\n</div>\n"
},
"$:/ControlPanel": {
"title": "$:/ControlPanel",
"icon": "$:/core/images/options-button",
"color": "#bbb",
"text": "<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/ControlPanel]!has[draft.of]]\" \"$:/core/ui/ControlPanel/Info\">>\n</div>\n"
},
"$:/core/ui/DefaultSearchResultList": {
"title": "$:/core/ui/DefaultSearchResultList",
"tags": "$:/tags/SearchResults",
"caption": "{{$:/language/Search/DefaultResults/Caption}}",
"text": "\\define searchResultList()\n//<small>{{$:/language/Search/Matches/Title}}</small>//\n\n<$list filter=\"[!is[system]search:title{$(searchTiddler)$}sort[title]limit[250]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n\n//<small>{{$:/language/Search/Matches/All}}</small>//\n\n<$list filter=\"[!is[system]search{$(searchTiddler)$}sort[title]limit[250]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n\n\\end\n<<searchResultList>>\n"
},
"$:/core/ui/EditTemplate/body/preview/diffs-current": {
"title": "$:/core/ui/EditTemplate/body/preview/diffs-current",
"tags": "$:/tags/EditPreview",
"caption": "differences from current",
"list-after": "$:/core/ui/EditTemplate/body/preview/output",
"text": "<$list filter=\"[<currentTiddler>!is[image]]\" emptyMessage={{$:/core/ui/EditTemplate/body/preview/output}}>\n\n<$macrocall $name=\"compareTiddlerText\" sourceTiddlerTitle={{!!draft.of}} destTiddlerTitle=<<currentTiddler>>/>\n\n</$list>\n\n"
},
"$:/core/ui/EditTemplate/body/preview/diffs-shadow": {
"title": "$:/core/ui/EditTemplate/body/preview/diffs-shadow",
"tags": "$:/tags/EditPreview",
"caption": "differences from shadow (if any)",
"list-after": "$:/core/ui/EditTemplate/body/preview/output",
"text": "<$list filter=\"[<currentTiddler>!is[image]]\" emptyMessage={{$:/core/ui/EditTemplate/body/preview/output}}>\n\n<$macrocall $name=\"compareTiddlerText\" sourceTiddlerTitle={{{ [{!!draft.of}shadowsource[]] }}} sourceSubTiddlerTitle={{!!draft.of}} destTiddlerTitle=<<currentTiddler>>/>\n\n</$list>\n\n"
},
"$:/core/ui/EditTemplate/body/preview/output": {
"title": "$:/core/ui/EditTemplate/body/preview/output",
"tags": "$:/tags/EditPreview",
"caption": "{{$:/language/EditTemplate/Body/Preview/Type/Output}}",
"text": "\\import [all[shadows+tiddlers]tag[$:/tags/Macro/View]!has[draft.of]]\n<$set name=\"tv-tiddler-preview\" value=\"yes\">\n\n<$transclude />\n\n</$set>\n"
},
"$:/state/showeditpreview": {
"title": "$:/state/showeditpreview",
"text": "no"
},
"$:/core/ui/EditTemplate/body/editor": {
"title": "$:/core/ui/EditTemplate/body/editor",
"text": "<$edit\n\n field=\"text\"\n class=\"tc-edit-texteditor tc-edit-texteditor-body\"\n placeholder={{$:/language/EditTemplate/Body/Placeholder}}\n tabindex={{$:/config/EditTabIndex}}\n focus={{{ [{$:/config/AutoFocus}match[text]then[true]] ~[[false]] }}}\n\n><$set\n\n name=\"targetTiddler\"\n value=<<currentTiddler>>\n\n><$list\n\n filter=\"[all[shadows+tiddlers]tag[$:/tags/EditorToolbar]!has[draft.of]]\"\n\n><$reveal\n\n type=\"nomatch\"\n state=<<config-visibility-title>>\n text=\"hide\"\n class=\"tc-text-editor-toolbar-item-wrapper\"\n\n><$transclude\n\n tiddler=\"$:/core/ui/EditTemplate/body/toolbar/button\"\n mode=\"inline\"\n\n/></$reveal></$list></$set></$edit>\n"
},
"$:/core/ui/EditTemplate/body/toolbar/button": {
"title": "$:/core/ui/EditTemplate/body/toolbar/button",
"text": "\\define toolbar-button-icon()\n<$list\n\n filter=\"[all[current]!has[custom-icon]]\"\n variable=\"no-custom-icon\"\n\n><$transclude\n\n tiddler={{!!icon}}\n\n/></$list>\n\\end\n\n\\define toolbar-button-tooltip()\n{{!!description}}<$macrocall $name=\"displayshortcuts\" $output=\"text/plain\" shortcuts={{!!shortcuts}} prefix=\"` - [\" separator=\"] [\" suffix=\"]`\"/>\n\\end\n\n\\define toolbar-button()\n<$list\n\n filter={{!!condition}}\n variable=\"list-condition\"\n\n><$wikify\n\n name=\"tooltip-text\"\n text=<<toolbar-button-tooltip>>\n mode=\"inline\"\n output=\"text\"\n\n><$list\n\n filter=\"[all[current]!has[dropdown]]\"\n variable=\"no-dropdown\"\n\n><$button\n\n class=\"tc-btn-invisible $(buttonClasses)$\"\n tooltip=<<tooltip-text>>\n actions={{!!actions}}\n\n><span\n\n data-tw-keyboard-shortcut={{!!shortcuts}}\n\n/><<toolbar-button-icon>><$transclude\n\n tiddler=<<currentTiddler>>\n field=\"text\"\n\n/></$button></$list><$list\n\n filter=\"[all[current]has[dropdown]]\"\n variable=\"dropdown\"\n\n><$set\n\n name=\"dropdown-state\"\n value=<<qualify \"$:/state/EditorToolbarDropdown\">>\n\n><$button\n\n popup=<<dropdown-state>>\n class=\"tc-popup-keep tc-btn-invisible $(buttonClasses)$\"\n selectedClass=\"tc-selected\"\n tooltip=<<tooltip-text>>\n actions={{!!actions}}\n\n><span\n\n data-tw-keyboard-shortcut={{!!shortcuts}}\n\n/><<toolbar-button-icon>><$transclude\n\n tiddler=<<currentTiddler>>\n field=\"text\"\n\n/></$button><$reveal\n\n state=<<dropdown-state>>\n type=\"popup\"\n position=\"below\"\n animate=\"yes\"\n tag=\"span\"\n\n><div\n\n class=\"tc-drop-down tc-popup-keep\"\n\n><$transclude\n\n tiddler={{!!dropdown}}\n mode=\"block\"\n\n/></div></$reveal></$set></$list></$wikify></$list>\n\\end\n\n\\define toolbar-button-outer()\n<$set\n\n name=\"buttonClasses\"\n value={{!!button-classes}}\n\n><<toolbar-button>></$set>\n\\end\n\n<<toolbar-button-outer>>"
},
"$:/core/ui/EditTemplate/body": {
"title": "$:/core/ui/EditTemplate/body",
"tags": "$:/tags/EditTemplate",
"text": "\\define lingo-base() $:/language/EditTemplate/Body/\n\\define config-visibility-title()\n$:/config/EditorToolbarButtons/Visibility/$(currentTiddler)$\n\\end\n<$list filter=\"[all[current]has[_canonical_uri]]\">\n\n<div class=\"tc-message-box\">\n\n<<lingo External/Hint>>\n\n<a href={{!!_canonical_uri}}><$text text={{!!_canonical_uri}}/></a>\n\n<$edit-text field=\"_canonical_uri\" class=\"tc-edit-fields\" tabindex={{$:/config/EditTabIndex}}></$edit-text>\n\n</div>\n\n</$list>\n\n<$list filter=\"[all[current]!has[_canonical_uri]]\">\n\n<$reveal state=\"$:/state/showeditpreview\" type=\"match\" text=\"yes\">\n\n<div class=\"tc-tiddler-preview\">\n\n<$transclude tiddler=\"$:/core/ui/EditTemplate/body/editor\" mode=\"inline\"/>\n\n<div class=\"tc-tiddler-preview-preview\">\n\n<$transclude tiddler={{$:/state/editpreviewtype}} mode=\"inline\">\n\n<$transclude tiddler=\"$:/core/ui/EditTemplate/body/preview/output\" mode=\"inline\"/>\n\n</$transclude>\n\n</div>\n\n</div>\n\n</$reveal>\n\n<$reveal state=\"$:/state/showeditpreview\" type=\"nomatch\" text=\"yes\">\n\n<$transclude tiddler=\"$:/core/ui/EditTemplate/body/editor\" mode=\"inline\"/>\n\n</$reveal>\n\n</$list>\n"
},
"$:/core/ui/EditTemplate/controls": {
"title": "$:/core/ui/EditTemplate/controls",
"tags": "$:/tags/EditTemplate",
"text": "\\define config-title()\n$:/config/EditToolbarButtons/Visibility/$(listItem)$\n\\end\n<div class=\"tc-tiddler-title tc-tiddler-edit-title\">\n<$view field=\"title\"/>\n<span class=\"tc-tiddler-controls tc-titlebar\"><$list filter=\"[all[shadows+tiddlers]tag[$:/tags/EditToolbar]!has[draft.of]]\" variable=\"listItem\"><$reveal type=\"nomatch\" state=<<config-title>> text=\"hide\"><$transclude tiddler=<<listItem>>/></$reveal></$list></span>\n<div style=\"clear: both;\"></div>\n</div>\n"
},
"$:/core/ui/EditTemplate/fields": {
"title": "$:/core/ui/EditTemplate/fields",
"tags": "$:/tags/EditTemplate",
"text": "\\define lingo-base() $:/language/EditTemplate/\n\\define config-title()\n$:/config/EditTemplateFields/Visibility/$(currentField)$\n\\end\n\n\\define config-filter()\n[[hide]] -[title{$(config-title)$}]\n\\end\n\n\\define current-tiddler-new-field-selector()\n[data-tiddler-title=\"$(currentTiddlerCSSescaped)$\"] .tc-edit-field-add-name input\n\\end\n\n\\define new-field-actions()\n<$action-sendmessage $message=\"tm-add-field\" $name={{{ [<newFieldNameTiddler>get[text]] }}} $value={{{ [<newFieldValueTiddler>get[text]] }}}/>\n<$action-deletetiddler $tiddler=<<newFieldNameTiddler>>/>\n<$action-deletetiddler $tiddler=<<newFieldValueTiddler>>/>\n<$action-sendmessage $message=\"tm-focus-selector\" $param=<<current-tiddler-new-field-selector>>/>\n\\end\n\n\\define new-field()\n<$vars name={{{ [<newFieldNameTiddler>get[text]] }}}>\n<$reveal type=\"nomatch\" text=\"\" default=<<name>>>\n<$button tooltip=<<lingo Fields/Add/Button/Hint>>>\n<$action-sendmessage $message=\"tm-add-field\"\n$name=<<name>>\n$value={{{ [<newFieldValueTiddler>get[text]] }}}/>\n<$action-deletetiddler $tiddler=<<newFieldNameTiddler>>/>\n<$action-deletetiddler $tiddler=<<newFieldValueTiddler>>/>\n<<lingo Fields/Add/Button>>\n</$button>\n</$reveal>\n<$reveal type=\"match\" text=\"\" default=<<name>>>\n<$button>\n<<lingo Fields/Add/Button>>\n</$button>\n</$reveal>\n</$vars>\n\\end\n\\whitespace trim\n\n<div class=\"tc-edit-fields\">\n<table class=\"tc-edit-fields\">\n<tbody>\n<$list filter=\"[all[current]fields[]] +[sort[title]]\" variable=\"currentField\" storyview=\"pop\">\n<$list filter=<<config-filter>> variable=\"temp\">\n<tr class=\"tc-edit-field\">\n<td class=\"tc-edit-field-name\">\n<$text text=<<currentField>>/>:</td>\n<td class=\"tc-edit-field-value\">\n<$edit-text tiddler=<<currentTiddler>> field=<<currentField>> placeholder={{$:/language/EditTemplate/Fields/Add/Value/Placeholder}} tabindex={{$:/config/EditTabIndex}}/>\n</td>\n<td class=\"tc-edit-field-remove\">\n<$button class=\"tc-btn-invisible\" tooltip={{$:/language/EditTemplate/Field/Remove/Hint}} aria-label={{$:/language/EditTemplate/Field/Remove/Caption}}>\n<$action-deletefield $field=<<currentField>>/>\n{{$:/core/images/delete-button}}\n</$button>\n</td>\n</tr>\n</$list>\n</$list>\n</tbody>\n</table>\n</div>\n\n<$fieldmangler>\n<div class=\"tc-edit-field-add\">\n<em class=\"tc-edit\">\n<<lingo Fields/Add/Prompt>> \n</em>\n<span class=\"tc-edit-field-add-name\">\n<$edit-text tiddler=<<newFieldNameTiddler>> tag=\"input\" default=\"\" placeholder={{$:/language/EditTemplate/Fields/Add/Name/Placeholder}} focusPopup=<<qualify \"$:/state/popup/field-dropdown\">> class=\"tc-edit-texteditor tc-popup-handle\" tabindex={{$:/config/EditTabIndex}} focus={{{ [{$:/config/AutoFocus}match[fields]then[true]] ~[[false]] }}}/>\n</span> \n<$button popup=<<qualify \"$:/state/popup/field-dropdown\">> class=\"tc-btn-invisible tc-btn-dropdown\" tooltip={{$:/language/EditTemplate/Field/Dropdown/Hint}} aria-label={{$:/language/EditTemplate/Field/Dropdown/Caption}}>{{$:/core/images/down-arrow}}</$button> \n<$reveal state=<<qualify \"$:/state/popup/field-dropdown\">> type=\"nomatch\" text=\"\" default=\"\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown\">\n<$set name=\"tv-show-missing-links\" value=\"yes\">\n<$linkcatcher to=<<newFieldNameTiddler>>>\n<div class=\"tc-dropdown-item\">\n<<lingo Fields/Add/Dropdown/User>>\n</div>\n<$set name=\"newFieldName\" value={{{ [<newFieldNameTiddler>get[text]] }}}>\n<$list filter=\"[!is[shadow]!is[system]fields[]search:title<newFieldName>sort[]] -created -creator -draft.of -draft.title -modified -modifier -tags -text -title -type\" variable=\"currentField\">\n<$link to=<<currentField>>>\n<$text text=<<currentField>>/>\n</$link>\n</$list>\n<div class=\"tc-dropdown-item\">\n<<lingo Fields/Add/Dropdown/System>>\n</div>\n<$list filter=\"[fields[]search:title<newFieldName>sort[]] -[!is[shadow]!is[system]fields[]]\" variable=\"currentField\">\n<$link to=<<currentField>>>\n<$text text=<<currentField>>/>\n</$link>\n</$list>\n</$set>\n</$linkcatcher>\n</$set>\n</div>\n</$reveal>\n<span class=\"tc-edit-field-add-value\">\n<$set name=\"currentTiddlerCSSescaped\" value={{{ [<currentTiddler>escapecss[]] }}}>\n<$keyboard key=\"((add-field))\" actions=<<new-field-actions>>>\n<$edit-text tiddler=<<newFieldValueTiddler>> tag=\"input\" default=\"\" placeholder={{$:/language/EditTemplate/Fields/Add/Value/Placeholder}} class=\"tc-edit-texteditor\" tabindex={{$:/config/EditTabIndex}}/>\n</$keyboard>\n</$set>\n</span> \n<span class=\"tc-edit-field-add-button\">\n<$macrocall $name=\"new-field\"/>\n</span>\n</div>\n</$fieldmangler>\n"
},
"$:/core/ui/EditTemplate/shadow": {
"title": "$:/core/ui/EditTemplate/shadow",
"tags": "$:/tags/EditTemplate",
"text": "\\define lingo-base() $:/language/EditTemplate/Shadow/\n\\define pluginLinkBody()\n<$link to=\"\"\"$(pluginTitle)$\"\"\">\n<$text text=\"\"\"$(pluginTitle)$\"\"\"/>\n</$link>\n\\end\n<$list filter=\"[all[current]get[draft.of]is[shadow]!is[tiddler]]\">\n\n<$list filter=\"[all[current]shadowsource[]]\" variable=\"pluginTitle\">\n\n<$set name=\"pluginLink\" value=<<pluginLinkBody>>>\n<div class=\"tc-message-box\">\n\n<<lingo Warning>>\n\n</div>\n</$set>\n</$list>\n\n</$list>\n\n<$list filter=\"[all[current]get[draft.of]is[shadow]is[tiddler]]\">\n\n<$list filter=\"[all[current]shadowsource[]]\" variable=\"pluginTitle\">\n\n<$set name=\"pluginLink\" value=<<pluginLinkBody>>>\n<div class=\"tc-message-box\">\n\n<<lingo OverriddenWarning>>\n\n</div>\n</$set>\n</$list>\n\n</$list>"
},
"$:/core/ui/EditTemplate/tags": {
"title": "$:/core/ui/EditTemplate/tags",
"tags": "$:/tags/EditTemplate",
"text": "\\whitespace trim\n\n\\define lingo-base() $:/language/EditTemplate/\n\n\\define tag-styles()\nbackground-color:$(backgroundColor)$;\nfill:$(foregroundColor)$;\ncolor:$(foregroundColor)$;\n\\end\n\n\\define tag-body-inner(colour,fallbackTarget,colourA,colourB,icon)\n\\whitespace trim\n<$vars foregroundColor=<<contrastcolour target:\"\"\"$colour$\"\"\" fallbackTarget:\"\"\"$fallbackTarget$\"\"\" colourA:\"\"\"$colourA$\"\"\" colourB:\"\"\"$colourB$\"\"\">> backgroundColor=\"\"\"$colour$\"\"\">\n<span style=<<tag-styles>> class=\"tc-tag-label tc-tag-list-item\">\n<$transclude tiddler=\"\"\"$icon$\"\"\"/><$view field=\"title\" format=\"text\" />\n<$button message=\"tm-remove-tag\" param={{!!title}} class=\"tc-btn-invisible tc-remove-tag-button\">{{$:/core/images/close-button}}</$button>\n</span>\n</$vars>\n\\end\n\n\\define tag-body(colour,palette,icon)\n<$macrocall $name=\"tag-body-inner\" colour=\"\"\"$colour$\"\"\" fallbackTarget={{$palette$##tag-background}} colourA={{$palette$##foreground}} colourB={{$palette$##background}} icon=\"\"\"$icon$\"\"\"/>\n\\end\n\n<div class=\"tc-edit-tags\">\n<$fieldmangler>\n<$list filter=\"[all[current]tags[]sort[title]]\" storyview=\"pop\">\n<$macrocall $name=\"tag-body\" colour={{!!color}} palette={{$:/palette}} icon={{!!icon}}/>\n</$list>\n<$set name=\"tabIndex\" value={{$:/config/EditTabIndex}}>\n<$macrocall $name=\"tag-picker\"/>\n</$set>\n</$fieldmangler>\n</div>\n"
},
"$:/core/ui/EditTemplate/title": {
"title": "$:/core/ui/EditTemplate/title",
"tags": "$:/tags/EditTemplate",
"text": "<$edit-text field=\"draft.title\" class=\"tc-titlebar tc-edit-texteditor\" focus={{{ [{$:/config/AutoFocus}match[title]then[true]] ~[[false]] }}} tabindex={{$:/config/EditTabIndex}}/>\n\n<$vars pattern=\"\"\"[\\|\\[\\]{}]\"\"\" bad-chars=\"\"\"`| [ ] { }`\"\"\">\n\n<$list filter=\"[all[current]regexp:draft.title<pattern>]\" variable=\"listItem\">\n\n<div class=\"tc-message-box\">\n\n{{$:/core/images/warning}} {{$:/language/EditTemplate/Title/BadCharacterWarning}}\n\n</div>\n\n</$list>\n\n</$vars>\n\n<$reveal state=\"!!draft.title\" type=\"nomatch\" text={{!!draft.of}} tag=\"div\">\n\n<$list filter=\"[{!!draft.title}!is[missing]]\" variable=\"listItem\">\n\n<div class=\"tc-message-box\">\n\n{{$:/core/images/warning}} {{$:/language/EditTemplate/Title/Exists/Prompt}}\n\n</div>\n\n</$list>\n\n<$list filter=\"[{!!draft.of}!is[missing]]\" variable=\"listItem\">\n\n<$vars fromTitle={{!!draft.of}} toTitle={{!!draft.title}}>\n\n<$checkbox tiddler=\"$:/config/RelinkOnRename\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"no\"> {{$:/language/EditTemplate/Title/Relink/Prompt}}</$checkbox>\n\n<$list filter=\"[title<fromTitle>backlinks[]limit[1]]\" variable=\"listItem\">\n\n<$vars stateTiddler=<<qualify \"$:/state/edit/references\">> >\n\n<$reveal type=\"nomatch\" state=<<stateTiddler>> text=\"show\">\n<$button set=<<stateTiddler>> setTo=\"show\" class=\"tc-btn-invisible\">{{$:/core/images/right-arrow}} \n<<lingo EditTemplate/Title/References/Prompt>></$button>\n</$reveal>\n<$reveal type=\"match\" state=<<stateTiddler>> text=\"show\">\n<$button set=<<stateTiddler>> setTo=\"hide\" class=\"tc-btn-invisible\">{{$:/core/images/down-arrow}} \n<<lingo EditTemplate/Title/References/Prompt>></$button>\n</$reveal>\n\n<$reveal type=\"match\" state=<<stateTiddler>> text=\"show\">\n<$tiddler tiddler=<<fromTitle>> >\n<$transclude tiddler=\"$:/core/ui/TiddlerInfo/References\"/>\n</$tiddler>\n</$reveal>\n\n</$vars>\n\n</$list>\n\n</$vars>\n\n</$list>\n\n</$reveal>\n"
},
"$:/core/ui/EditTemplate/type": {
"title": "$:/core/ui/EditTemplate/type",
"tags": "$:/tags/EditTemplate",
"text": "\\define lingo-base() $:/language/EditTemplate/\n\\whitespace trim\n<div class=\"tc-type-selector\"><$fieldmangler>\n<em class=\"tc-edit\"><<lingo Type/Prompt>></em> <$edit-text field=\"type\" tag=\"input\" default=\"\" placeholder={{$:/language/EditTemplate/Type/Placeholder}} focusPopup=<<qualify \"$:/state/popup/type-dropdown\">> class=\"tc-edit-typeeditor tc-edit-texteditor tc-popup-handle\" tabindex={{$:/config/EditTabIndex}} focus={{{ [{$:/config/AutoFocus}match[type]then[true]] ~[[false]] }}}/> <$button popup=<<qualify \"$:/state/popup/type-dropdown\">> class=\"tc-btn-invisible tc-btn-dropdown\" tooltip={{$:/language/EditTemplate/Type/Dropdown/Hint}} aria-label={{$:/language/EditTemplate/Type/Dropdown/Caption}}>{{$:/core/images/down-arrow}}</$button> <$button message=\"tm-remove-field\" param=\"type\" class=\"tc-btn-invisible tc-btn-icon\" tooltip={{$:/language/EditTemplate/Type/Delete/Hint}} aria-label={{$:/language/EditTemplate/Type/Delete/Caption}}>{{$:/core/images/delete-button}}</$button>\n</$fieldmangler></div>\n\n<div class=\"tc-block-dropdown-wrapper\">\n<$set name=\"tv-show-missing-links\" value=\"yes\">\n<$reveal state=<<qualify \"$:/state/popup/type-dropdown\">> type=\"nomatch\" text=\"\" default=\"\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown\">\n<$linkcatcher to=\"!!type\">\n<$list filter='[all[shadows+tiddlers]prefix[$:/language/Docs/Types/]each[group]sort[group-sort]]'>\n<div class=\"tc-dropdown-item\">\n<$text text={{!!group}}/>\n</div>\n<$list filter=\"[all[shadows+tiddlers]prefix[$:/language/Docs/Types/]group{!!group}] +[sort[description]]\"><$link to={{!!name}}><$view field=\"description\"/> (<$view field=\"name\"/>)</$link>\n</$list>\n</$list>\n</$linkcatcher>\n</div>\n</$reveal>\n</$set>\n</div>\n"
},
"$:/core/ui/EditTemplate": {
"title": "$:/core/ui/EditTemplate",
"text": "\\define save-tiddler-actions()\n<$action-sendmessage $message=\"tm-add-tag\" $param={{{ [<newTagNameTiddler>get[text]] }}}/>\n<$action-deletetiddler $tiddler=<<newTagNameTiddler>>/>\n<$action-sendmessage $message=\"tm-add-field\" $name={{{ [<newFieldNameTiddler>get[text]] }}} $value={{{ [<newFieldValueTiddler>get[text]] }}}/>\n<$action-deletetiddler $tiddler=<<newFieldNameTiddler>>/>\n<$action-deletetiddler $tiddler=<<newFieldValueTiddler>>/>\n<$action-sendmessage $message=\"tm-save-tiddler\"/>\n\\end\n<div data-tiddler-title=<<currentTiddler>> data-tags={{!!tags}} class={{{ tc-tiddler-frame tc-tiddler-edit-frame [<currentTiddler>is[tiddler]then[tc-tiddler-exists]] [<currentTiddler>is[missing]!is[shadow]then[tc-tiddler-missing]] [<currentTiddler>is[shadow]then[tc-tiddler-exists tc-tiddler-shadow]] [<currentTiddler>is[system]then[tc-tiddler-system]] [{!!class}] [<currentTiddler>tags[]encodeuricomponent[]addprefix[tc-tagged-]] +[join[ ]] }}}>\n<$fieldmangler>\n<$vars storyTiddler=<<currentTiddler>> newTagNameTiddler=<<qualify \"$:/temp/NewTagName\">> newFieldNameTiddler=<<qualify \"$:/temp/NewFieldName\">> newFieldValueTiddler=<<qualify \"$:/temp/NewFieldValue\">>>\n<$keyboard key=\"((cancel-edit-tiddler))\" message=\"tm-cancel-tiddler\">\n<$keyboard key=\"((save-tiddler))\" actions=<<save-tiddler-actions>>>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/EditTemplate]!has[draft.of]]\" variable=\"listItem\">\n<$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\">\n<$transclude tiddler=<<listItem>>/>\n</$set>\n</$list>\n</$keyboard>\n</$keyboard>\n</$vars>\n</$fieldmangler>\n</div>\n"
},
"$:/core/ui/Buttons/cancel": {
"title": "$:/core/ui/Buttons/cancel",
"tags": "$:/tags/EditToolbar",
"caption": "{{$:/core/images/cancel-button}} {{$:/language/Buttons/Cancel/Caption}}",
"description": "{{$:/language/Buttons/Cancel/Hint}}",
"text": "<$button message=\"tm-cancel-tiddler\" tooltip={{$:/language/Buttons/Cancel/Hint}} aria-label={{$:/language/Buttons/Cancel/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/cancel-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Cancel/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/delete": {
"title": "$:/core/ui/Buttons/delete",
"tags": "$:/tags/EditToolbar $:/tags/ViewToolbar",
"caption": "{{$:/core/images/delete-button}} {{$:/language/Buttons/Delete/Caption}}",
"description": "{{$:/language/Buttons/Delete/Hint}}",
"text": "<$button message=\"tm-delete-tiddler\" tooltip={{$:/language/Buttons/Delete/Hint}} aria-label={{$:/language/Buttons/Delete/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/delete-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Delete/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/save": {
"title": "$:/core/ui/Buttons/save",
"tags": "$:/tags/EditToolbar",
"caption": "{{$:/core/images/done-button}} {{$:/language/Buttons/Save/Caption}}",
"description": "{{$:/language/Buttons/Save/Hint}}",
"text": "\\define save-tiddler-button()\n<$fieldmangler><$button tooltip={{$:/language/Buttons/Save/Hint}} aria-label={{$:/language/Buttons/Save/Caption}} class=<<tv-config-toolbar-class>>>\n<<save-tiddler-actions>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/done-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Save/Caption}}/></span>\n</$list>\n</$button></$fieldmangler>\n\\end\n<<save-tiddler-button>>\n"
},
"$:/core/ui/EditorToolbar/bold": {
"title": "$:/core/ui/EditorToolbar/bold",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/bold",
"caption": "{{$:/language/Buttons/Bold/Caption}}",
"description": "{{$:/language/Buttons/Bold/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((bold))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"''\"\n\tsuffix=\"''\"\n/>\n"
},
"$:/core/ui/EditorToolbar/clear-dropdown": {
"title": "$:/core/ui/EditorToolbar/clear-dropdown",
"text": "''{{$:/language/Buttons/Clear/Hint}}''\n\n<div class=\"tc-colour-chooser\">\n\n<$macrocall $name=\"colour-picker\" actions=\"\"\"\n\n<$action-sendmessage\n\t$message=\"tm-edit-bitmap-operation\"\n\t$param=\"clear\"\n\tcolour=<<colour-picker-value>>\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n\"\"\"/>\n\n</div>\n"
},
"$:/core/ui/EditorToolbar/clear": {
"title": "$:/core/ui/EditorToolbar/clear",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/erase",
"caption": "{{$:/language/Buttons/Clear/Caption}}",
"description": "{{$:/language/Buttons/Clear/Hint}}",
"condition": "[<targetTiddler>is[image]]",
"dropdown": "$:/core/ui/EditorToolbar/clear-dropdown",
"text": ""
},
"$:/core/ui/EditorToolbar/editor-height-dropdown": {
"title": "$:/core/ui/EditorToolbar/editor-height-dropdown",
"text": "\\define lingo-base() $:/language/Buttons/EditorHeight/\n''<<lingo Hint>>''\n\n<$radio tiddler=\"$:/config/TextEditor/EditorHeight/Mode\" value=\"auto\"> {{$:/core/images/auto-height}} <<lingo Caption/Auto>></$radio>\n\n<$radio tiddler=\"$:/config/TextEditor/EditorHeight/Mode\" value=\"fixed\"> {{$:/core/images/fixed-height}} <<lingo Caption/Fixed>> <$edit-text tag=\"input\" tiddler=\"$:/config/TextEditor/EditorHeight/Height\" default=\"100px\"/></$radio>\n"
},
"$:/core/ui/EditorToolbar/editor-height": {
"title": "$:/core/ui/EditorToolbar/editor-height",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/fixed-height",
"custom-icon": "yes",
"caption": "{{$:/language/Buttons/EditorHeight/Caption}}",
"description": "{{$:/language/Buttons/EditorHeight/Hint}}",
"condition": "[<targetTiddler>type[]] [<targetTiddler>get[type]prefix[text/]] +[first[]]",
"dropdown": "$:/core/ui/EditorToolbar/editor-height-dropdown",
"text": "<$reveal tag=\"span\" state=\"$:/config/TextEditor/EditorHeight/Mode\" type=\"match\" text=\"fixed\">\n{{$:/core/images/fixed-height}}\n</$reveal>\n<$reveal tag=\"span\" state=\"$:/config/TextEditor/EditorHeight/Mode\" type=\"match\" text=\"auto\">\n{{$:/core/images/auto-height}}\n</$reveal>\n"
},
"$:/core/ui/EditorToolbar/excise-dropdown": {
"title": "$:/core/ui/EditorToolbar/excise-dropdown",
"text": "\\define lingo-base() $:/language/Buttons/Excise/\n\n\\define body(config-title)\n''<<lingo Hint>>''\n\n<<lingo Caption/NewTitle>> <$edit-text tag=\"input\" tiddler=\"$config-title$/new-title\" default=\"\" focus=\"true\"/>\n\n<$set name=\"new-title\" value={{$config-title$/new-title}}>\n<$list filter=\"\"\"[<new-title>is[tiddler]]\"\"\">\n<div class=\"tc-error\">\n<<lingo Caption/TiddlerExists>>\n</div>\n</$list>\n</$set>\n\n<$checkbox tiddler=\"\"\"$config-title$/tagnew\"\"\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"false\"> <<lingo Caption/Tag>></$checkbox>\n\n<<lingo Caption/Replace>> <$select tiddler=\"\"\"$config-title$/type\"\"\" default=\"transclude\">\n<option value=\"link\"><<lingo Caption/Replace/Link>></option>\n<option value=\"transclude\"><<lingo Caption/Replace/Transclusion>></option>\n<option value=\"macro\"><<lingo Caption/Replace/Macro>></option>\n</$select>\n\n<$reveal state=\"\"\"$config-title$/type\"\"\" type=\"match\" text=\"macro\">\n<<lingo Caption/MacroName>> <$edit-text tag=\"input\" tiddler=\"\"\"$config-title$/macro-title\"\"\" default=\"translink\"/>\n</$reveal>\n\n<$button>\n<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"excise\"\n\ttitle={{$config-title$/new-title}}\n\ttype={{$config-title$/type}}\n\tmacro={{$config-title$/macro-title}}\n\ttagnew={{$config-title$/tagnew}}\n/>\n<$action-deletetiddler\n\t$tiddler=\"$config-title$/new-title\"\n/>\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n<<lingo Caption/Excise>>\n</$button>\n\\end\n\n<$macrocall $name=\"body\" config-title=<<qualify \"$:/state/Excise/\">>/>\n"
},
"$:/core/ui/EditorToolbar/excise": {
"title": "$:/core/ui/EditorToolbar/excise",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/excise",
"caption": "{{$:/language/Buttons/Excise/Caption}}",
"description": "{{$:/language/Buttons/Excise/Hint}}",
"condition": "[<targetTiddler>type[]] [<targetTiddler>type[text/vnd.tiddlywiki]] +[first[]]",
"shortcuts": "((excise))",
"dropdown": "$:/core/ui/EditorToolbar/excise-dropdown",
"text": ""
},
"$:/core/ui/EditorToolbar/heading-1": {
"title": "$:/core/ui/EditorToolbar/heading-1",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-1",
"caption": "{{$:/language/Buttons/Heading1/Caption}}",
"description": "{{$:/language/Buttons/Heading1/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"button-classes": "tc-text-editor-toolbar-item-start-group",
"shortcuts": "((heading-1))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"1\"\n/>\n"
},
"$:/core/ui/EditorToolbar/heading-2": {
"title": "$:/core/ui/EditorToolbar/heading-2",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-2",
"caption": "{{$:/language/Buttons/Heading2/Caption}}",
"description": "{{$:/language/Buttons/Heading2/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((heading-2))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"2\"\n/>\n"
},
"$:/core/ui/EditorToolbar/heading-3": {
"title": "$:/core/ui/EditorToolbar/heading-3",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-3",
"caption": "{{$:/language/Buttons/Heading3/Caption}}",
"description": "{{$:/language/Buttons/Heading3/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((heading-3))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"3\"\n/>\n"
},
"$:/core/ui/EditorToolbar/heading-4": {
"title": "$:/core/ui/EditorToolbar/heading-4",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-4",
"caption": "{{$:/language/Buttons/Heading4/Caption}}",
"description": "{{$:/language/Buttons/Heading4/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((heading-4))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"4\"\n/>\n"
},
"$:/core/ui/EditorToolbar/heading-5": {
"title": "$:/core/ui/EditorToolbar/heading-5",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-5",
"caption": "{{$:/language/Buttons/Heading5/Caption}}",
"description": "{{$:/language/Buttons/Heading5/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((heading-5))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"5\"\n/>\n"
},
"$:/core/ui/EditorToolbar/heading-6": {
"title": "$:/core/ui/EditorToolbar/heading-6",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/heading-6",
"caption": "{{$:/language/Buttons/Heading6/Caption}}",
"description": "{{$:/language/Buttons/Heading6/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((heading-6))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"!\"\n\tcount=\"6\"\n/>\n"
},
"$:/core/ui/EditorToolbar/italic": {
"title": "$:/core/ui/EditorToolbar/italic",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/italic",
"caption": "{{$:/language/Buttons/Italic/Caption}}",
"description": "{{$:/language/Buttons/Italic/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((italic))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"//\"\n\tsuffix=\"//\"\n/>\n"
},
"$:/core/ui/EditorToolbar/line-width-dropdown": {
"title": "$:/core/ui/EditorToolbar/line-width-dropdown",
"text": "\\define lingo-base() $:/language/Buttons/LineWidth/\n\n\\define toolbar-line-width-inner()\n<$button tag=\"a\" tooltip=\"\"\"$(line-width)$\"\"\">\n\n<$action-setfield\n\t$tiddler=\"$:/config/BitmapEditor/LineWidth\"\n\t$value=\"$(line-width)$\"\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<div style=\"display: inline-block; margin: 4px calc(80px - $(line-width)$); background-color: #000; width: calc(100px + $(line-width)$ * 2); height: $(line-width)$; border-radius: 120px; vertical-align: middle;\"/>\n\n<span style=\"margin-left: 8px;\">\n\n<$text text=\"\"\"$(line-width)$\"\"\"/>\n\n<$reveal state=\"$:/config/BitmapEditor/LineWidth\" type=\"match\" text=\"\"\"$(line-width)$\"\"\" tag=\"span\">\n\n<$entity entity=\" \"/>\n\n<$entity entity=\"✓\"/>\n\n</$reveal>\n\n</span>\n\n</$button>\n\\end\n\n''<<lingo Hint>>''\n\n<$list filter={{$:/config/BitmapEditor/LineWidths}} variable=\"line-width\">\n\n<<toolbar-line-width-inner>>\n\n</$list>\n"
},
"$:/core/ui/EditorToolbar/line-width": {
"title": "$:/core/ui/EditorToolbar/line-width",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/line-width",
"caption": "{{$:/language/Buttons/LineWidth/Caption}}",
"description": "{{$:/language/Buttons/LineWidth/Hint}}",
"condition": "[<targetTiddler>is[image]]",
"dropdown": "$:/core/ui/EditorToolbar/line-width-dropdown",
"text": "<$text text={{$:/config/BitmapEditor/LineWidth}}/>"
},
"$:/core/ui/EditorToolbar/link-dropdown": {
"title": "$:/core/ui/EditorToolbar/link-dropdown",
"text": "\\define lingo-base() $:/language/Buttons/Link/\n\n\\define add-link-actions()\n<$action-sendmessage $message=\"tm-edit-text-operation\" $param=\"make-link\" text={{$(linkTiddler)$}} />\n<$action-deletetiddler $tiddler=<<dropdown-state>> />\n<$action-deletetiddler $tiddler=<<searchTiddler>> />\n<$action-deletetiddler $tiddler=<<linkTiddler>> />\n\\end\n\n\\define external-link()\n<$button class=\"tc-btn-invisible\" style=\"width: auto; display: inline-block; background-colour: inherit;\" actions=<<add-link-actions>>>\n{{$:/core/images/chevron-right}}\n</$button>\n\\end\n\n\\define body(config-title)\n''<<lingo Hint>>''\n\n<$vars searchTiddler=\"\"\"$config-title$/search\"\"\" linkTiddler=\"\"\"$config-title$/link\"\"\" linktext=\"\" >\n\n<$vars linkTiddler=<<searchTiddler>>>\n<$keyboard key=\"ENTER\" actions=<<add-link-actions>>>\n<$edit-text tiddler=<<searchTiddler>> type=\"search\" tag=\"input\" focus=\"true\" placeholder={{$:/language/Search/Search}} default=\"\"/>\n<$reveal tag=\"span\" state=<<searchTiddler>> type=\"nomatch\" text=\"\">\n<<external-link>>\n<$button class=\"tc-btn-invisible\" style=\"width: auto; display: inline-block; background-colour: inherit;\">\n<$action-setfield $tiddler=<<searchTiddler>> text=\"\" />\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</$keyboard>\n</$vars>\n\n<$reveal tag=\"div\" state=<<searchTiddler>> type=\"nomatch\" text=\"\">\n\n<$linkcatcher actions=<<add-link-actions>> to=<<linkTiddler>>>\n\n{{$:/core/ui/SearchResults}}\n\n</$linkcatcher>\n\n</$reveal>\n\n</$vars>\n\n\\end\n\n<$macrocall $name=\"body\" config-title=<<qualify \"$:/state/Link/\">>/>"
},
"$:/core/ui/EditorToolbar/link": {
"title": "$:/core/ui/EditorToolbar/link",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/link",
"caption": "{{$:/language/Buttons/Link/Caption}}",
"description": "{{$:/language/Buttons/Link/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"button-classes": "tc-text-editor-toolbar-item-start-group",
"shortcuts": "((link))",
"dropdown": "$:/core/ui/EditorToolbar/link-dropdown",
"text": ""
},
"$:/core/ui/EditorToolbar/linkify": {
"title": "$:/core/ui/EditorToolbar/linkify",
"caption": "{{$:/language/Buttons/Linkify/Caption}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"description": "{{$:/language/Buttons/Linkify/Hint}}",
"icon": "$:/core/images/linkify",
"list-before": "$:/core/ui/EditorToolbar/mono-block",
"shortcuts": "((linkify))",
"tags": "$:/tags/EditorToolbar",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"[[\"\n\tsuffix=\"]]\"\n/>\n"
},
"$:/core/ui/EditorToolbar/list-bullet": {
"title": "$:/core/ui/EditorToolbar/list-bullet",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/list-bullet",
"caption": "{{$:/language/Buttons/ListBullet/Caption}}",
"description": "{{$:/language/Buttons/ListBullet/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((list-bullet))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"*\"\n\tcount=\"1\"\n/>\n"
},
"$:/core/ui/EditorToolbar/list-number": {
"title": "$:/core/ui/EditorToolbar/list-number",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/list-number",
"caption": "{{$:/language/Buttons/ListNumber/Caption}}",
"description": "{{$:/language/Buttons/ListNumber/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((list-number))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"prefix-lines\"\n\tcharacter=\"#\"\n\tcount=\"1\"\n/>\n"
},
"$:/core/ui/EditorToolbar/mono-block": {
"title": "$:/core/ui/EditorToolbar/mono-block",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/mono-block",
"caption": "{{$:/language/Buttons/MonoBlock/Caption}}",
"description": "{{$:/language/Buttons/MonoBlock/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"button-classes": "tc-text-editor-toolbar-item-start-group",
"shortcuts": "((mono-block))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-lines\"\n\tprefix=\"\n```\"\n\tsuffix=\"```\"\n/>\n"
},
"$:/core/ui/EditorToolbar/mono-line": {
"title": "$:/core/ui/EditorToolbar/mono-line",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/mono-line",
"caption": "{{$:/language/Buttons/MonoLine/Caption}}",
"description": "{{$:/language/Buttons/MonoLine/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((mono-line))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"`\"\n\tsuffix=\"`\"\n/>\n"
},
"$:/core/ui/EditorToolbar/more-dropdown": {
"title": "$:/core/ui/EditorToolbar/more-dropdown",
"text": "\\define config-title()\n$:/config/EditorToolbarButtons/Visibility/$(toolbarItem)$\n\\end\n\n\\define conditional-button()\n<$list filter={{$(toolbarItem)$!!condition}} variable=\"condition\">\n<$transclude tiddler=\"$:/core/ui/EditTemplate/body/toolbar/button\" mode=\"inline\"/> <$transclude tiddler=<<toolbarItem>> field=\"description\"/>\n</$list>\n\\end\n\n<div class=\"tc-text-editor-toolbar-more\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/EditorToolbar]!has[draft.of]] -[[$:/core/ui/EditorToolbar/more]]\">\n<$reveal type=\"match\" state=<<config-visibility-title>> text=\"hide\" tag=\"div\">\n<<conditional-button>>\n</$reveal>\n</$list>\n</div>\n"
},
"$:/core/ui/EditorToolbar/more": {
"title": "$:/core/ui/EditorToolbar/more",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/down-arrow",
"caption": "{{$:/language/Buttons/More/Caption}}",
"description": "{{$:/language/Buttons/More/Hint}}",
"condition": "[<targetTiddler>]",
"dropdown": "$:/core/ui/EditorToolbar/more-dropdown",
"text": ""
},
"$:/core/ui/EditorToolbar/opacity-dropdown": {
"title": "$:/core/ui/EditorToolbar/opacity-dropdown",
"text": "\\define lingo-base() $:/language/Buttons/Opacity/\n\n\\define toolbar-opacity-inner()\n<$button tag=\"a\" tooltip=\"\"\"$(opacity)$\"\"\">\n\n<$action-setfield\n\t$tiddler=\"$:/config/BitmapEditor/Opacity\"\n\t$value=\"$(opacity)$\"\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<div style=\"display: inline-block; vertical-align: middle; background-color: $(current-paint-colour)$; opacity: $(opacity)$; width: 1em; height: 1em; border-radius: 50%;\"/>\n\n<span style=\"margin-left: 8px;\">\n\n<$text text=\"\"\"$(opacity)$\"\"\"/>\n\n<$reveal state=\"$:/config/BitmapEditor/Opacity\" type=\"match\" text=\"\"\"$(opacity)$\"\"\" tag=\"span\">\n\n<$entity entity=\" \"/>\n\n<$entity entity=\"✓\"/>\n\n</$reveal>\n\n</span>\n\n</$button>\n\\end\n\n\\define toolbar-opacity()\n''<<lingo Hint>>''\n\n<$list filter={{$:/config/BitmapEditor/Opacities}} variable=\"opacity\">\n\n<<toolbar-opacity-inner>>\n\n</$list>\n\\end\n\n<$set name=\"current-paint-colour\" value={{$:/config/BitmapEditor/Colour}}>\n\n<$set name=\"current-opacity\" value={{$:/config/BitmapEditor/Opacity}}>\n\n<<toolbar-opacity>>\n\n</$set>\n\n</$set>\n"
},
"$:/core/ui/EditorToolbar/opacity": {
"title": "$:/core/ui/EditorToolbar/opacity",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/opacity",
"caption": "{{$:/language/Buttons/Opacity/Caption}}",
"description": "{{$:/language/Buttons/Opacity/Hint}}",
"condition": "[<targetTiddler>is[image]]",
"dropdown": "$:/core/ui/EditorToolbar/opacity-dropdown",
"text": "<$text text={{$:/config/BitmapEditor/Opacity}}/>\n"
},
"$:/core/ui/EditorToolbar/paint-dropdown": {
"title": "$:/core/ui/EditorToolbar/paint-dropdown",
"text": "''{{$:/language/Buttons/Paint/Hint}}''\n\n<$macrocall $name=\"colour-picker\" actions=\"\"\"\n\n<$action-setfield\n\t$tiddler=\"$:/config/BitmapEditor/Colour\"\n\t$value=<<colour-picker-value>>\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n\"\"\"/>\n"
},
"$:/core/ui/EditorToolbar/paint": {
"title": "$:/core/ui/EditorToolbar/paint",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/paint",
"caption": "{{$:/language/Buttons/Paint/Caption}}",
"description": "{{$:/language/Buttons/Paint/Hint}}",
"condition": "[<targetTiddler>is[image]]",
"dropdown": "$:/core/ui/EditorToolbar/paint-dropdown",
"text": "\\define toolbar-paint()\n<div style=\"display: inline-block; vertical-align: middle; background-color: $(colour-picker-value)$; width: 1em; height: 1em; border-radius: 50%;\"/>\n\\end\n<$set name=\"colour-picker-value\" value={{$:/config/BitmapEditor/Colour}}>\n<<toolbar-paint>>\n</$set>\n"
},
"$:/core/ui/EditorToolbar/picture-dropdown": {
"title": "$:/core/ui/EditorToolbar/picture-dropdown",
"text": "\\define replacement-text()\n[img[$(imageTitle)$]]\n\\end\n\n''{{$:/language/Buttons/Picture/Hint}}''\n\n<$macrocall $name=\"image-picker\" actions=\"\"\"\n\n<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"replace-selection\"\n\ttext=<<replacement-text>>\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n\"\"\"/>\n"
},
"$:/core/ui/EditorToolbar/picture": {
"title": "$:/core/ui/EditorToolbar/picture",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/picture",
"caption": "{{$:/language/Buttons/Picture/Caption}}",
"description": "{{$:/language/Buttons/Picture/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((picture))",
"dropdown": "$:/core/ui/EditorToolbar/picture-dropdown",
"text": ""
},
"$:/core/ui/EditorToolbar/preview-type-dropdown": {
"title": "$:/core/ui/EditorToolbar/preview-type-dropdown",
"text": "\\define preview-type-button()\n<$button tag=\"a\">\n\n<$action-setfield $tiddler=\"$:/state/editpreviewtype\" $value=\"$(previewType)$\"/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<$transclude tiddler=<<previewType>> field=\"caption\" mode=\"inline\">\n\n<$view tiddler=<<previewType>> field=\"title\" mode=\"inline\"/>\n\n</$transclude> \n\n<$reveal tag=\"span\" state=\"$:/state/editpreviewtype\" type=\"match\" text=<<previewType>> default=\"$:/core/ui/EditTemplate/body/preview/output\">\n\n<$entity entity=\" \"/>\n\n<$entity entity=\"✓\"/>\n\n</$reveal>\n\n</$button>\n\\end\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/EditPreview]!has[draft.of]]\" variable=\"previewType\">\n\n<<preview-type-button>>\n\n</$list>\n"
},
"$:/core/ui/EditorToolbar/preview-type": {
"title": "$:/core/ui/EditorToolbar/preview-type",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/chevron-down",
"caption": "{{$:/language/Buttons/PreviewType/Caption}}",
"description": "{{$:/language/Buttons/PreviewType/Hint}}",
"condition": "[all[shadows+tiddlers]tag[$:/tags/EditPreview]!has[draft.of]butfirst[]limit[1]]",
"button-classes": "tc-text-editor-toolbar-item-adjunct",
"dropdown": "$:/core/ui/EditorToolbar/preview-type-dropdown"
},
"$:/core/ui/EditorToolbar/preview": {
"title": "$:/core/ui/EditorToolbar/preview",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/preview-open",
"custom-icon": "yes",
"caption": "{{$:/language/Buttons/Preview/Caption}}",
"description": "{{$:/language/Buttons/Preview/Hint}}",
"condition": "[<targetTiddler>]",
"button-classes": "tc-text-editor-toolbar-item-start-group",
"shortcuts": "((preview))",
"text": "<$reveal state=\"$:/state/showeditpreview\" type=\"match\" text=\"yes\" tag=\"span\">\n{{$:/core/images/preview-open}}\n<$action-setfield $tiddler=\"$:/state/showeditpreview\" $value=\"no\"/>\n</$reveal>\n<$reveal state=\"$:/state/showeditpreview\" type=\"nomatch\" text=\"yes\" tag=\"span\">\n{{$:/core/images/preview-closed}}\n<$action-setfield $tiddler=\"$:/state/showeditpreview\" $value=\"yes\"/>\n</$reveal>\n"
},
"$:/core/ui/EditorToolbar/quote": {
"title": "$:/core/ui/EditorToolbar/quote",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/quote",
"caption": "{{$:/language/Buttons/Quote/Caption}}",
"description": "{{$:/language/Buttons/Quote/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((quote))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-lines\"\n\tprefix=\"\n<<<\"\n\tsuffix=\"<<<\"\n/>\n"
},
"$:/core/ui/EditorToolbar/rotate-left": {
"title": "$:/core/ui/EditorToolbar/rotate-left",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/rotate-left",
"caption": "{{$:/language/Buttons/RotateLeft/Caption}}",
"description": "{{$:/language/Buttons/RotateLeft/Hint}}",
"condition": "[<targetTiddler>is[image]]",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-bitmap-operation\"\n\t$param=\"rotate-left\"\n/>\n"
},
"$:/core/ui/EditorToolbar/size-dropdown": {
"title": "$:/core/ui/EditorToolbar/size-dropdown",
"text": "\\define lingo-base() $:/language/Buttons/Size/\n\n\\define toolbar-button-size-preset(config-title)\n<$set name=\"width\" filter=\"$(sizePair)$ +[first[]]\">\n\n<$set name=\"height\" filter=\"$(sizePair)$ +[last[]]\">\n\n<$button tag=\"a\">\n\n<$action-setfield\n\t$tiddler=\"\"\"$config-title$/new-width\"\"\"\n\t$value=<<width>>\n/>\n\n<$action-setfield\n\t$tiddler=\"\"\"$config-title$/new-height\"\"\"\n\t$value=<<height>>\n/>\n\n<$action-deletetiddler\n\t$tiddler=\"\"\"$config-title$/presets-popup\"\"\"\n/>\n\n<$text text=<<width>>/> × <$text text=<<height>>/>\n\n</$button>\n\n</$set>\n\n</$set>\n\\end\n\n\\define toolbar-button-size(config-title)\n''{{$:/language/Buttons/Size/Hint}}''\n\n<<lingo Caption/Width>> <$edit-text tag=\"input\" tiddler=\"\"\"$config-title$/new-width\"\"\" default=<<tv-bitmap-editor-width>> focus=\"true\" size=\"8\"/> <<lingo Caption/Height>> <$edit-text tag=\"input\" tiddler=\"\"\"$config-title$/new-height\"\"\" default=<<tv-bitmap-editor-height>> size=\"8\"/> <$button popup=\"\"\"$config-title$/presets-popup\"\"\" class=\"tc-btn-invisible tc-popup-keep\" style=\"width: auto; display: inline-block; background-colour: inherit;\" selectedClass=\"tc-selected\">\n{{$:/core/images/down-arrow}}\n</$button>\n\n<$reveal tag=\"span\" state=\"\"\"$config-title$/presets-popup\"\"\" type=\"popup\" position=\"belowleft\" animate=\"yes\">\n\n<div class=\"tc-drop-down tc-popup-keep\">\n\n<$list filter={{$:/config/BitmapEditor/ImageSizes}} variable=\"sizePair\">\n\n<$macrocall $name=\"toolbar-button-size-preset\" config-title=\"$config-title$\"/>\n\n</$list>\n\n</div>\n\n</$reveal>\n\n<$button>\n<$action-sendmessage\n\t$message=\"tm-edit-bitmap-operation\"\n\t$param=\"resize\"\n\twidth={{$config-title$/new-width}}\n\theight={{$config-title$/new-height}}\n/>\n<$action-deletetiddler\n\t$tiddler=\"\"\"$config-title$/new-width\"\"\"\n/>\n<$action-deletetiddler\n\t$tiddler=\"\"\"$config-title$/new-height\"\"\"\n/>\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n<<lingo Caption/Resize>>\n</$button>\n\\end\n\n<$macrocall $name=\"toolbar-button-size\" config-title=<<qualify \"$:/state/Size/\">>/>\n"
},
"$:/core/ui/EditorToolbar/size": {
"title": "$:/core/ui/EditorToolbar/size",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/size",
"caption": "{{$:/language/Buttons/Size/Caption}}",
"description": "{{$:/language/Buttons/Size/Hint}}",
"condition": "[<targetTiddler>is[image]]",
"dropdown": "$:/core/ui/EditorToolbar/size-dropdown",
"text": ""
},
"$:/core/ui/EditorToolbar/stamp-dropdown": {
"title": "$:/core/ui/EditorToolbar/stamp-dropdown",
"text": "\\define toolbar-button-stamp-inner()\n<$button tag=\"a\">\n\n<$list filter=\"[[$(snippetTitle)$]addsuffix[/prefix]is[missing]removesuffix[/prefix]addsuffix[/suffix]is[missing]]\">\n\n<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"replace-selection\"\n\ttext={{$(snippetTitle)$}}\n/>\n\n</$list>\n\n\n<$list filter=\"[[$(snippetTitle)$]addsuffix[/prefix]is[missing]removesuffix[/prefix]addsuffix[/suffix]!is[missing]] [[$(snippetTitle)$]addsuffix[/prefix]!is[missing]removesuffix[/prefix]addsuffix[/suffix]is[missing]] [[$(snippetTitle)$]addsuffix[/prefix]!is[missing]removesuffix[/prefix]addsuffix[/suffix]!is[missing]]\">\n\n<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix={{{ [[$(snippetTitle)$]addsuffix[/prefix]get[text]] }}}\nsuffix={{{ [[$(snippetTitle)$]addsuffix[/suffix]get[text]] }}}\n/>\n\n</$list>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<$transclude tiddler=<<snippetTitle>> field=\"caption\" mode=\"inline\">\n\n<$view tiddler=<<snippetTitle>> field=\"title\" />\n\n</$transclude>\n\n</$button>\n\\end\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TextEditor/Snippet]!has[draft.of]sort[caption]]\" variable=\"snippetTitle\">\n\n<<toolbar-button-stamp-inner>>\n\n</$list>\n\n----\n\n<$button tag=\"a\">\n\n<$action-sendmessage\n\t$message=\"tm-new-tiddler\"\n\ttags=\"$:/tags/TextEditor/Snippet\"\n\tcaption={{$:/language/Buttons/Stamp/New/Title}}\n\ttext={{$:/language/Buttons/Stamp/New/Text}}\n/>\n\n<$action-deletetiddler\n\t$tiddler=<<dropdown-state>>\n/>\n\n<em>\n\n<$text text={{$:/language/Buttons/Stamp/Caption/New}}/>\n\n</em>\n\n</$button>\n"
},
"$:/core/ui/EditorToolbar/stamp": {
"title": "$:/core/ui/EditorToolbar/stamp",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/stamp",
"caption": "{{$:/language/Buttons/Stamp/Caption}}",
"description": "{{$:/language/Buttons/Stamp/Hint}}",
"condition": "[<targetTiddler>type[]] [<targetTiddler>get[type]prefix[text/]] +[first[]]",
"shortcuts": "((stamp))",
"dropdown": "$:/core/ui/EditorToolbar/stamp-dropdown",
"text": ""
},
"$:/core/ui/EditorToolbar/strikethrough": {
"title": "$:/core/ui/EditorToolbar/strikethrough",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/strikethrough",
"caption": "{{$:/language/Buttons/Strikethrough/Caption}}",
"description": "{{$:/language/Buttons/Strikethrough/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((strikethrough))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"~~\"\n\tsuffix=\"~~\"\n/>\n"
},
"$:/core/ui/EditorToolbar/subscript": {
"title": "$:/core/ui/EditorToolbar/subscript",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/subscript",
"caption": "{{$:/language/Buttons/Subscript/Caption}}",
"description": "{{$:/language/Buttons/Subscript/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((subscript))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\",,\"\n\tsuffix=\",,\"\n/>\n"
},
"$:/core/ui/EditorToolbar/superscript": {
"title": "$:/core/ui/EditorToolbar/superscript",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/superscript",
"caption": "{{$:/language/Buttons/Superscript/Caption}}",
"description": "{{$:/language/Buttons/Superscript/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((superscript))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"^^\"\n\tsuffix=\"^^\"\n/>\n"
},
"$:/core/ui/EditorToolbar/transcludify": {
"title": "$:/core/ui/EditorToolbar/transcludify",
"caption": "{{$:/language/Buttons/Transcludify/Caption}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"description": "{{$:/language/Buttons/Transcludify/Hint}}",
"icon": "$:/core/images/transcludify",
"list-before": "$:/core/ui/EditorToolbar/mono-block",
"shortcuts": "((transcludify))",
"tags": "$:/tags/EditorToolbar",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"{{\"\n\tsuffix=\"}}\"\n/>\n"
},
"$:/core/ui/EditorToolbar/underline": {
"title": "$:/core/ui/EditorToolbar/underline",
"tags": "$:/tags/EditorToolbar",
"icon": "$:/core/images/underline",
"caption": "{{$:/language/Buttons/Underline/Caption}}",
"description": "{{$:/language/Buttons/Underline/Hint}}",
"condition": "[<targetTiddler>!has[type]] [<targetTiddler>type[text/vnd.tiddlywiki]]",
"shortcuts": "((underline))",
"text": "<$action-sendmessage\n\t$message=\"tm-edit-text-operation\"\n\t$param=\"wrap-selection\"\n\tprefix=\"__\"\n\tsuffix=\"__\"\n/>\n"
},
"$:/core/Filters/AllTags": {
"title": "$:/core/Filters/AllTags",
"tags": "$:/tags/Filter",
"filter": "[tags[]!is[system]sort[title]]",
"description": "{{$:/language/Filters/AllTags}}",
"text": ""
},
"$:/core/Filters/AllTiddlers": {
"title": "$:/core/Filters/AllTiddlers",
"tags": "$:/tags/Filter",
"filter": "[!is[system]sort[title]]",
"description": "{{$:/language/Filters/AllTiddlers}}",
"text": ""
},
"$:/core/Filters/Drafts": {
"title": "$:/core/Filters/Drafts",
"tags": "$:/tags/Filter",
"filter": "[has[draft.of]sort[title]]",
"description": "{{$:/language/Filters/Drafts}}",
"text": ""
},
"$:/core/Filters/Missing": {
"title": "$:/core/Filters/Missing",
"tags": "$:/tags/Filter",
"filter": "[all[missing]sort[title]]",
"description": "{{$:/language/Filters/Missing}}",
"text": ""
},
"$:/core/Filters/Orphans": {
"title": "$:/core/Filters/Orphans",
"tags": "$:/tags/Filter",
"filter": "[all[orphans]sort[title]]",
"description": "{{$:/language/Filters/Orphans}}",
"text": ""
},
"$:/core/Filters/OverriddenShadowTiddlers": {
"title": "$:/core/Filters/OverriddenShadowTiddlers",
"tags": "$:/tags/Filter",
"filter": "[is[shadow]]",
"description": "{{$:/language/Filters/OverriddenShadowTiddlers}}",
"text": ""
},
"$:/core/Filters/RecentSystemTiddlers": {
"title": "$:/core/Filters/RecentSystemTiddlers",
"tags": "$:/tags/Filter",
"filter": "[has[modified]!sort[modified]limit[50]]",
"description": "{{$:/language/Filters/RecentSystemTiddlers}}",
"text": ""
},
"$:/core/Filters/RecentTiddlers": {
"title": "$:/core/Filters/RecentTiddlers",
"tags": "$:/tags/Filter",
"filter": "[!is[system]has[modified]!sort[modified]limit[50]]",
"description": "{{$:/language/Filters/RecentTiddlers}}",
"text": ""
},
"$:/core/Filters/SessionTiddlers": {
"title": "$:/core/Filters/SessionTiddlers",
"tags": "$:/tags/Filter",
"filter": "[haschanged[]]",
"description": "{{$:/language/Filters/SessionTiddlers}}",
"text": ""
},
"$:/core/Filters/ShadowTiddlers": {
"title": "$:/core/Filters/ShadowTiddlers",
"tags": "$:/tags/Filter",
"filter": "[all[shadows]sort[title]]",
"description": "{{$:/language/Filters/ShadowTiddlers}}",
"text": ""
},
"$:/core/Filters/StoryList": {
"title": "$:/core/Filters/StoryList",
"tags": "$:/tags/Filter",
"filter": "[list[$:/StoryList]] -$:/AdvancedSearch",
"description": "{{$:/language/Filters/StoryList}}",
"text": ""
},
"$:/core/Filters/SystemTags": {
"title": "$:/core/Filters/SystemTags",
"tags": "$:/tags/Filter",
"filter": "[all[shadows+tiddlers]tags[]is[system]sort[title]]",
"description": "{{$:/language/Filters/SystemTags}}",
"text": ""
},
"$:/core/Filters/SystemTiddlers": {
"title": "$:/core/Filters/SystemTiddlers",
"tags": "$:/tags/Filter",
"filter": "[is[system]sort[title]]",
"description": "{{$:/language/Filters/SystemTiddlers}}",
"text": ""
},
"$:/core/Filters/TypedTiddlers": {
"title": "$:/core/Filters/TypedTiddlers",
"tags": "$:/tags/Filter",
"filter": "[!is[system]has[type]each[type]sort[type]] -[type[text/vnd.tiddlywiki]]",
"description": "{{$:/language/Filters/TypedTiddlers}}",
"text": ""
},
"$:/core/ui/ImportListing": {
"title": "$:/core/ui/ImportListing",
"text": "\\define lingo-base() $:/language/Import/\n\n\\define messageField()\nmessage-$(payloadTiddler)$\n\\end\n\n\\define selectionField()\nselection-$(payloadTiddler)$\n\\end\n\n\\define previewPopupState()\n$(currentTiddler)$!!popup-$(payloadTiddler)$\n\\end\n\n\\define select-all-actions()\n<$list filter=\"[all[current]plugintiddlers[]sort[title]]\" variable=\"payloadTiddler\">\n<$action-setfield $field={{{ [<payloadTiddler>addprefix[selection-]] }}} $value={{$:/state/import/select-all}}/>\n</$list>\n\\end\n\n<table>\n<tbody>\n<tr>\n<th>\n<$checkbox tiddler=\"$:/state/import/select-all\" field=\"text\" checked=\"checked\" unchecked=\"unchecked\" default=\"checked\" actions=<<select-all-actions>>>\n<<lingo Listing/Select/Caption>>\n</$checkbox>\n</th>\n<th>\n<<lingo Listing/Title/Caption>>\n</th>\n<th>\n<<lingo Listing/Status/Caption>>\n</th>\n</tr>\n<$list filter=\"[all[current]plugintiddlers[]sort[title]]\" variable=\"payloadTiddler\">\n<tr>\n<td>\n<$checkbox field=<<selectionField>> checked=\"checked\" unchecked=\"unchecked\" default=\"checked\"/>\n</td>\n<td>\n<$reveal type=\"nomatch\" stateTitle=<<previewPopupState>> text=\"yes\" tag=\"div\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" setTitle=<<previewPopupState>> setTo=\"yes\">\n{{$:/core/images/right-arrow}} <$text text=<<payloadTiddler>>/>\n</$button>\n</$reveal>\n<$reveal type=\"match\" stateTitle=<<previewPopupState>> text=\"yes\" tag=\"div\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" setTitle=<<previewPopupState>> setTo=\"no\">\n{{$:/core/images/down-arrow}} <$text text=<<payloadTiddler>>/>\n</$button>\n</$reveal>\n</td>\n<td>\n<$view field=<<messageField>>/>\n</td>\n</tr>\n<tr>\n<td colspan=\"3\">\n<$reveal type=\"match\" text=\"yes\" stateTitle=<<previewPopupState>> tag=\"div\">\n<$list filter=\"[{$:/state/importpreviewtype}has[text]]\" variable=\"listItem\" emptyMessage={{$:/core/ui/ImportPreviews/Text}}>\n<$transclude tiddler={{$:/state/importpreviewtype}}/>\n</$list>\n</$reveal>\n</td>\n</tr>\n</$list>\n</tbody>\n</table>\n"
},
"$:/core/ui/ImportPreviews/Diff": {
"title": "$:/core/ui/ImportPreviews/Diff",
"tags": "$:/tags/ImportPreview",
"caption": "{{$:/language/Import/Listing/Preview/Diff}}",
"text": "<$macrocall $name=\"compareTiddlerText\" sourceTiddlerTitle=<<payloadTiddler>> destTiddlerTitle=<<currentTiddler>> destSubTiddlerTitle=<<payloadTiddler>>/>\n"
},
"$:/core/ui/ImportPreviews/DiffFields": {
"title": "$:/core/ui/ImportPreviews/DiffFields",
"tags": "$:/tags/ImportPreview",
"caption": "{{$:/language/Import/Listing/Preview/DiffFields}}",
"text": "<$macrocall $name=\"compareTiddlers\" sourceTiddlerTitle=<<payloadTiddler>> destTiddlerTitle=<<currentTiddler>> destSubTiddlerTitle=<<payloadTiddler>> exclude=\"text\"/>\n"
},
"$:/core/ui/ImportPreviews/Fields": {
"title": "$:/core/ui/ImportPreviews/Fields",
"tags": "$:/tags/ImportPreview",
"caption": "{{$:/language/Import/Listing/Preview/Fields}}",
"text": "<table class=\"tc-view-field-table\">\n<tbody>\n<$list filter=\"[<payloadTiddler>subtiddlerfields<currentTiddler>sort[]] -text\" variable=\"fieldName\">\n<tr class=\"tc-view-field\">\n<td class=\"tc-view-field-name\">\n<$text text=<<fieldName>>/>\n</td>\n<td class=\"tc-view-field-value\">\n<$view field=<<fieldName>> tiddler=<<currentTiddler>> subtiddler=<<payloadTiddler>>/>\n</td>\n</tr>\n</$list>\n</tbody>\n</table>\n"
},
"$:/core/ui/ImportPreviews/Text": {
"title": "$:/core/ui/ImportPreviews/Text",
"tags": "$:/tags/ImportPreview",
"caption": "{{$:/language/Import/Listing/Preview/Text}}",
"text": "<$transclude tiddler=<<currentTiddler>> subtiddler=<<payloadTiddler>> mode=\"block\"/>\n"
},
"$:/core/ui/ImportPreviews/TextRaw": {
"title": "$:/core/ui/ImportPreviews/TextRaw",
"tags": "$:/tags/ImportPreview",
"caption": "{{$:/language/Import/Listing/Preview/TextRaw}}",
"text": "<pre><code><$view tiddler=<<currentTiddler>> subtiddler=<<payloadTiddler>> /></code></pre>"
},
"$:/core/ui/KeyboardShortcuts/advanced-search": {
"title": "$:/core/ui/KeyboardShortcuts/advanced-search",
"tags": "$:/tags/KeyboardShortcut",
"key": "((advanced-search))",
"text": "<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\">\n<$action-navigate $to=\"$:/AdvancedSearch\"/>\n<$action-sendmessage $message=\"tm-focus-selector\" $param=\"\"\"[data-tiddler-title=\"$:/AdvancedSearch\"] .tc-search input\"\"\"/>\n</$navigator>\n"
},
"$:/core/ui/KeyboardShortcuts/new-image": {
"title": "$:/core/ui/KeyboardShortcuts/new-image",
"tags": "$:/tags/KeyboardShortcut",
"key": "((new-image))",
"text": "<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\" openLinkFromInsideRiver={{$:/config/Navigation/openLinkFromInsideRiver}} openLinkFromOutsideRiver={{$:/config/Navigation/openLinkFromOutsideRiver}} relinkOnRename={{$:/config/RelinkOnRename}}>\n{{$:/core/ui/Actions/new-image}}\n</$navigator>\n"
},
"$:/core/ui/KeyboardShortcuts/new-journal": {
"title": "$:/core/ui/KeyboardShortcuts/new-journal",
"tags": "$:/tags/KeyboardShortcut",
"key": "((new-journal))",
"text": "<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\" openLinkFromInsideRiver={{$:/config/Navigation/openLinkFromInsideRiver}} openLinkFromOutsideRiver={{$:/config/Navigation/openLinkFromOutsideRiver}} relinkOnRename={{$:/config/RelinkOnRename}}>\n{{$:/core/ui/Actions/new-journal}}\n</$navigator>\n"
},
"$:/core/ui/KeyboardShortcuts/new-tiddler": {
"title": "$:/core/ui/KeyboardShortcuts/new-tiddler",
"tags": "$:/tags/KeyboardShortcut",
"key": "((new-tiddler))",
"text": "<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\" openLinkFromInsideRiver={{$:/config/Navigation/openLinkFromInsideRiver}} openLinkFromOutsideRiver={{$:/config/Navigation/openLinkFromOutsideRiver}} relinkOnRename={{$:/config/RelinkOnRename}}>\n{{$:/core/ui/Actions/new-tiddler}}\n</$navigator>\n"
},
"$:/core/ui/KeyboardShortcuts/sidebar-search": {
"title": "$:/core/ui/KeyboardShortcuts/sidebar-search",
"tags": "$:/tags/KeyboardShortcut",
"key": "((sidebar-search))",
"text": "<$action-sendmessage $message=\"tm-focus-selector\" $param=\".tc-search input\"/>\n"
},
"$:/core/ui/KeyboardShortcut/toggle-sidebar": {
"title": "$:/core/ui/KeyboardShortcut/toggle-sidebar",
"tags": "$:/tags/KeyboardShortcut",
"key": "((toggle-sidebar))",
"text": "<$list filter=\"[[$:/state/sidebar]is[missing]] [{$:/state/sidebar}removeprefix[yes]]\" emptyMessage=\"\"\"\n<$action-setfield $tiddler=\"$:/state/sidebar\" text=\"yes\"/>\n\"\"\">\n<$action-setfield $tiddler=\"$:/state/sidebar\" text=\"no\"/>\n</$list>\n"
},
"$:/core/ui/ListItemTemplate": {
"title": "$:/core/ui/ListItemTemplate",
"text": "<div class=\"tc-menu-list-item\">\n<$link />\n</div>"
},
"$:/Manager/ItemMain/Fields": {
"title": "$:/Manager/ItemMain/Fields",
"tags": "$:/tags/Manager/ItemMain",
"caption": "{{$:/language/Manager/Item/Fields}}",
"text": "<table>\n<tbody>\n<$list filter=\"[all[current]fields[]sort[title]] -text\" template=\"$:/core/ui/TiddlerFieldTemplate\" variable=\"listItem\"/>\n</tbody>\n</table>\n"
},
"$:/Manager/ItemMain/RawText": {
"title": "$:/Manager/ItemMain/RawText",
"tags": "$:/tags/Manager/ItemMain",
"caption": "{{$:/language/Manager/Item/RawText}}",
"text": "<pre><code><$view/></code></pre>\n"
},
"$:/Manager/ItemMain/WikifiedText": {
"title": "$:/Manager/ItemMain/WikifiedText",
"tags": "$:/tags/Manager/ItemMain",
"caption": "{{$:/language/Manager/Item/WikifiedText}}",
"text": "<$transclude mode=\"block\"/>\n"
},
"$:/Manager/ItemSidebar/Colour": {
"title": "$:/Manager/ItemSidebar/Colour",
"tags": "$:/tags/Manager/ItemSidebar",
"caption": "{{$:/language/Manager/Item/Colour}}",
"text": "\\define swatch-styles()\nheight: 1em;\nbackground-color: $(colour)$\n\\end\n\n<$vars colour={{!!color}}>\n<p style=<<swatch-styles>>/>\n</$vars>\n<p>\n<$edit-text field=\"color\" tag=\"input\" type=\"color\"/> / <$edit-text field=\"color\" tag=\"input\" type=\"text\" size=\"9\"/>\n</p>\n"
},
"$:/Manager/ItemSidebar/Icon": {
"title": "$:/Manager/ItemSidebar/Icon",
"tags": "$:/tags/Manager/ItemSidebar",
"caption": "{{$:/language/Manager/Item/Icon}}",
"text": "<p>\n<div class=\"tc-manager-icon-editor\">\n<$button popup=<<qualify \"$:/state/popup/image-picker\">> class=\"tc-btn-invisible\">\n<$transclude tiddler={{!!icon}}>\n{{$:/language/Manager/Item/Icon/None}}\n</$transclude>\n</$button>\n<div class=\"tc-block-dropdown-wrapper\" style=\"position: static;\">\n<$reveal state=<<qualify \"$:/state/popup/image-picker\">> type=\"nomatch\" text=\"\" default=\"\" tag=\"div\" class=\"tc-popup\">\n<div class=\"tc-block-dropdown tc-popup-keep\" style=\"width: 80%; left: 10%; right: 10%; padding: 0.5em;\">\n<$macrocall $name=\"image-picker-include-tagged-images\" actions=\"\"\"\n<$action-setfield $field=\"icon\" $value=<<imageTitle>>/>\n<$action-deletetiddler $tiddler=<<qualify \"$:/state/popup/image-picker\">>/>\n\"\"\"/>\n</div>\n</$reveal>\n</div>\n</div>\n</p>\n"
},
"$:/Manager/ItemSidebar/Tags": {
"title": "$:/Manager/ItemSidebar/Tags",
"tags": "$:/tags/Manager/ItemSidebar",
"caption": "{{$:/language/Manager/Item/Tags}}",
"text": "\\define tag-checkbox-actions()\n<$action-listops\n\t$tiddler=\"$:/config/Manager/RecentTags\"\n\t$subfilter=\"[<tag>] [list[$:/config/Manager/RecentTags]] +[limit[12]]\"\n/>\n\\end\n\n\\define tag-picker-actions()\n<<tag-checkbox-actions>>\n<$action-listops\n\t$tiddler=<<currentTiddler>>\n\t$field=\"tags\"\n\t$subfilter=\"[<tag>] [all[current]tags[]]\"\n/>\n\\end\n\n<p>\n<$list filter=\"[all[current]tags[]] [list[$:/config/Manager/RecentTags]] +[sort[title]] \" variable=\"tag\">\n<div>\n<$checkbox tiddler=<<currentTiddler>> tag=<<tag>> actions=<<tag-checkbox-actions>>>\n<$macrocall $name=\"tag-pill\" tag=<<tag>>/>\n</$checkbox>\n</div>\n</$list>\n</p>\n<p>\n<$macrocall $name=\"tag-picker\" actions=<<tag-picker-actions>>/>\n</p>\n"
},
"$:/Manager/ItemSidebar/Tools": {
"title": "$:/Manager/ItemSidebar/Tools",
"tags": "$:/tags/Manager/ItemSidebar",
"caption": "{{$:/language/Manager/Item/Tools}}",
"text": "<p>\n<$button to=<<currentTiddler>>>{{$:/core/images/link}} open</$button>\n</p>\n<p>\n<$button message=\"tm-edit-tiddler\" param=<<currentTiddler>>>{{$:/core/images/edit-button}} edit</$button>\n</p>\n"
},
"$:/Manager": {
"title": "$:/Manager",
"icon": "$:/core/images/list",
"color": "#bbb",
"text": "\\define lingo-base() $:/language/Manager/\n\n\\define list-item-content-item()\n<div class=\"tc-manager-list-item-content-item\">\n\t<$vars state-title=\"\"\"$:/state/popup/manager/item/$(listItem)$\"\"\">\n\t\t<$reveal state=<<state-title>> type=\"match\" text=\"show\" default=\"show\" tag=\"div\">\n\t\t\t<$button set=<<state-title>> setTo=\"hide\" class=\"tc-btn-invisible tc-manager-list-item-content-item-heading\">\n\t\t\t\t{{$:/core/images/down-arrow}} <$transclude tiddler=<<listItem>> field=\"caption\"/>\n\t\t\t</$button>\n\t\t</$reveal>\n\t\t<$reveal state=<<state-title>> type=\"nomatch\" text=\"show\" default=\"show\" tag=\"div\">\n\t\t\t<$button set=<<state-title>> setTo=\"show\" class=\"tc-btn-invisible tc-manager-list-item-content-item-heading\">\n\t\t\t\t{{$:/core/images/right-arrow}} <$transclude tiddler=<<listItem>> field=\"caption\"/>\n\t\t\t</$button>\n\t\t</$reveal>\n\t\t<$reveal state=<<state-title>> type=\"match\" text=\"show\" default=\"show\" tag=\"div\" class=\"tc-manager-list-item-content-item-body\">\n\t\t\t<$transclude tiddler=<<listItem>>/>\n\t\t</$reveal>\n\t</$vars>\n</div>\n\\end\n\n<div class=\"tc-manager-wrapper\">\n\t<div class=\"tc-manager-controls\">\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<<lingo Controls/Show/Prompt>> <$select tiddler=\"$:/config/Manager/Show\" default=\"tiddlers\">\n\t\t\t\t<option value=\"tiddlers\"><<lingo Controls/Show/Option/Tiddlers>></option>\n\t\t\t\t<option value=\"tags\"><<lingo Controls/Show/Option/Tags>></option>\n\t\t\t</$select>\n\t\t</div>\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<<lingo Controls/Search/Prompt>> <$edit-text tiddler=\"$:/config/Manager/Filter\" tag=\"input\" default=\"\" placeholder={{$:/language/Manager/Controls/Search/Placeholder}}/>\n\t\t</div>\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<<lingo Controls/FilterByTag/Prompt>> <$select tiddler=\"$:/config/Manager/Tag\" default=\"\">\n\t\t\t\t<option value=\"\"><<lingo Controls/FilterByTag/None>></option>\n\t\t\t\t<$list filter=\"[!is{$:/config/Manager/System}tags[]!is[system]sort[title]]\" variable=\"tag\">\n\t\t\t\t\t<option value=<<tag>>><$text text=<<tag>>/></option>\n\t\t\t\t</$list>\n\t\t\t</$select>\n\t\t</div>\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<<lingo Controls/Sort/Prompt>> <$select tiddler=\"$:/config/Manager/Sort\" default=\"title\">\n\t\t\t\t<optgroup label=\"Common\">\n\t\t\t\t\t<$list filter=\"title modified modifier created creator created\" variable=\"field\">\n\t\t\t\t\t\t<option value=<<field>>><$text text=<<field>>/></option>\n\t\t\t\t\t</$list>\n\t\t\t\t</optgroup>\n\t\t\t\t<optgroup label=\"All\">\n\t\t\t\t\t<$list filter=\"[all{$:/config/Manager/Show}!is{$:/config/Manager/System}fields[]sort[title]] -title -modified -modifier -created -creator -created\" variable=\"field\">\n\t\t\t\t\t\t<option value=<<field>>><$text text=<<field>>/></option>\n\t\t\t\t\t</$list>\n\t\t\t\t</optgroup>\n\t\t\t</$select>\n\t\t\t<$checkbox tiddler=\"$:/config/Manager/Order\" field=\"text\" checked=\"reverse\" unchecked=\"forward\" default=\"forward\">\n\t\t\t\t<<lingo Controls/Order/Prompt>>\n\t\t\t</$checkbox>\n\t\t</div>\n\t\t<div class=\"tc-manager-control\">\n\t\t\t<$checkbox tiddler=\"$:/config/Manager/System\" field=\"text\" checked=\"\" unchecked=\"system\" default=\"system\">\n\t\t\t\t{{$:/language/SystemTiddlers/Include/Prompt}}\n\t\t\t</$checkbox>\n\t\t</div>\n\t</div>\n\t<div class=\"tc-manager-list\">\n\t\t<$list filter=\"[all{$:/config/Manager/Show}!is{$:/config/Manager/System}search{$:/config/Manager/Filter}tag:strict{$:/config/Manager/Tag}sort{$:/config/Manager/Sort}order{$:/config/Manager/Order}]\">\n\t\t\t<$vars transclusion=<<currentTiddler>>>\n\t\t\t\t<div style=\"tc-manager-list-item\">\n\t\t\t\t\t<$button popup=<<qualify \"$:/state/manager/popup\">> class=\"tc-btn-invisible tc-manager-list-item-heading\" selectedClass=\"tc-manager-list-item-heading-selected\">\n\t\t\t\t\t\t<$text text=<<currentTiddler>>/>\n\t\t\t\t\t</$button>\n\t\t\t\t\t<$reveal state=<<qualify \"$:/state/manager/popup\">> type=\"nomatch\" text=\"\" default=\"\" tag=\"div\" class=\"tc-manager-list-item-content tc-popup-handle\">\n\t\t\t\t\t\t<div class=\"tc-manager-list-item-content-tiddler\">\n\t\t\t\t\t\t\t<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Manager/ItemMain]!has[draft.of]]\" variable=\"listItem\">\n\t\t\t\t\t\t\t\t<<list-item-content-item>>\n\t\t\t\t\t\t\t</$list>\n\t\t\t\t\t\t</div>\n\t\t\t\t\t\t<div class=\"tc-manager-list-item-content-sidebar\">\n\t\t\t\t\t\t\t<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Manager/ItemSidebar]!has[draft.of]]\" variable=\"listItem\">\n\t\t\t\t\t\t\t\t<<list-item-content-item>>\n\t\t\t\t\t\t\t</$list>\n\t\t\t\t\t\t</div>\n\t\t\t\t\t</$reveal>\n\t\t\t\t</div>\n\t\t\t</$vars>\n\t\t</$list>\n\t</div>\n</div>\n"
},
"$:/core/ui/MissingTemplate": {
"title": "$:/core/ui/MissingTemplate",
"text": "<div class=\"tc-tiddler-missing\">\n<$button popup=<<qualify \"$:/state/popup/missing\">> class=\"tc-btn-invisible tc-missing-tiddler-label\">\n<$view field=\"title\" format=\"text\" />\n</$button>\n<$reveal state=<<qualify \"$:/state/popup/missing\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n<$transclude tiddler=\"$:/core/ui/ListItemTemplate\"/>\n<hr>\n<$list filter=\"[all[current]backlinks[]sort[title]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n</div>\n</$reveal>\n</div>\n"
},
"$:/core/ui/MoreSideBar/All": {
"title": "$:/core/ui/MoreSideBar/All",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/All/Caption}}",
"text": "<$list filter={{$:/core/Filters/AllTiddlers!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/MoreSideBar/Drafts": {
"title": "$:/core/ui/MoreSideBar/Drafts",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Drafts/Caption}}",
"text": "<$list filter={{$:/core/Filters/Drafts!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/MoreSideBar/Explorer": {
"title": "$:/core/ui/MoreSideBar/Explorer",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Explorer/Caption}}",
"text": "<<tree \"$:/\">>\n"
},
"$:/core/ui/MoreSideBar/Missing": {
"title": "$:/core/ui/MoreSideBar/Missing",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Missing/Caption}}",
"text": "<$list filter={{$:/core/Filters/Missing!!filter}} template=\"$:/core/ui/MissingTemplate\"/>\n"
},
"$:/core/ui/MoreSideBar/Orphans": {
"title": "$:/core/ui/MoreSideBar/Orphans",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Orphans/Caption}}",
"text": "<$list filter={{$:/core/Filters/Orphans!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/MoreSideBar/Plugins": {
"title": "$:/core/ui/MoreSideBar/Plugins",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/ControlPanel/Plugins/Caption}}",
"text": "\n{{$:/language/ControlPanel/Plugins/Installed/Hint}}\n\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/MoreSideBar/Plugins]!has[draft.of]]\" \"$:/core/ui/MoreSideBar/Plugins/Plugins\">>\n"
},
"$:/core/ui/MoreSideBar/Recent": {
"title": "$:/core/ui/MoreSideBar/Recent",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Recent/Caption}}",
"text": "<$macrocall $name=\"timeline\" format={{$:/language/RecentChanges/DateFormat}}/>\n"
},
"$:/core/ui/MoreSideBar/Shadows": {
"title": "$:/core/ui/MoreSideBar/Shadows",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Shadows/Caption}}",
"text": "<$list filter={{$:/core/Filters/ShadowTiddlers!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/MoreSideBar/System": {
"title": "$:/core/ui/MoreSideBar/System",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/System/Caption}}",
"text": "<$list filter={{$:/core/Filters/SystemTiddlers!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/MoreSideBar/Tags": {
"title": "$:/core/ui/MoreSideBar/Tags",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Tags/Caption}}",
"text": "<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"\">\n\n{{$:/core/ui/Buttons/tag-manager}}\n\n</$set>\n\n</$set>\n\n</$set>\n\n<$list filter={{$:/core/Filters/AllTags!!filter}}>\n\n<$transclude tiddler=\"$:/core/ui/TagTemplate\"/>\n\n</$list>\n\n<hr class=\"tc-untagged-separator\">\n\n{{$:/core/ui/UntaggedTemplate}}\n"
},
"$:/core/ui/MoreSideBar/Types": {
"title": "$:/core/ui/MoreSideBar/Types",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Types/Caption}}",
"text": "<$list filter={{$:/core/Filters/TypedTiddlers!!filter}}>\n<div class=\"tc-menu-list-item\">\n<$view field=\"type\"/>\n<$list filter=\"[type{!!type}!is[system]sort[title]]\">\n<div class=\"tc-menu-list-subitem\">\n<$link to={{!!title}}><$view field=\"title\"/></$link>\n</div>\n</$list>\n</div>\n</$list>\n"
},
"$:/core/ui/MoreSideBar/Plugins/Languages": {
"title": "$:/core/ui/MoreSideBar/Plugins/Languages",
"tags": "$:/tags/MoreSideBar/Plugins",
"caption": "{{$:/language/ControlPanel/Plugins/Languages/Caption}}",
"text": "<$list filter=\"[!has[draft.of]plugin-type[language]sort[description]]\" template=\"$:/core/ui/PluginListItemTemplate\" emptyMessage={{$:/language/ControlPanel/Plugins/Empty/Hint}}/>\n"
},
"$:/core/ui/MoreSideBar/Plugins/Plugins": {
"title": "$:/core/ui/MoreSideBar/Plugins/Plugins",
"tags": "$:/tags/MoreSideBar/Plugins",
"caption": "{{$:/language/ControlPanel/Plugins/Plugins/Caption}}",
"text": "<$list filter=\"[!has[draft.of]plugin-type[plugin]sort[description]]\" template=\"$:/core/ui/PluginListItemTemplate\" emptyMessage={{$:/language/ControlPanel/Plugins/Empty/Hint}}>>/>\n"
},
"$:/core/ui/MoreSideBar/Plugins/Theme": {
"title": "$:/core/ui/MoreSideBar/Plugins/Theme",
"tags": "$:/tags/MoreSideBar/Plugins",
"caption": "{{$:/language/ControlPanel/Plugins/Themes/Caption}}",
"text": "<$list filter=\"[!has[draft.of]plugin-type[theme]sort[description]]\" template=\"$:/core/ui/PluginListItemTemplate\" emptyMessage={{$:/language/ControlPanel/Plugins/Empty/Hint}}/>\n"
},
"$:/core/ui/Buttons/advanced-search": {
"title": "$:/core/ui/Buttons/advanced-search",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/advanced-search-button}} {{$:/language/Buttons/AdvancedSearch/Caption}}",
"description": "{{$:/language/Buttons/AdvancedSearch/Hint}}",
"text": "\\whitespace trim\n\\define control-panel-button(class)\n<$button to=\"$:/AdvancedSearch\" tooltip={{$:/language/Buttons/AdvancedSearch/Hint}} aria-label={{$:/language/Buttons/AdvancedSearch/Caption}} class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/advanced-search-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/AdvancedSearch/Caption}}/></span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/AdvancedSearch]]\" emptyMessage=<<control-panel-button>>>\n<<control-panel-button \"tc-selected\">>\n</$list>\n"
},
"$:/core/ui/Buttons/close-all": {
"title": "$:/core/ui/Buttons/close-all",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/close-all-button}} {{$:/language/Buttons/CloseAll/Caption}}",
"description": "{{$:/language/Buttons/CloseAll/Hint}}",
"text": "<$button message=\"tm-close-all-tiddlers\" tooltip={{$:/language/Buttons/CloseAll/Hint}} aria-label={{$:/language/Buttons/CloseAll/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/close-all-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/CloseAll/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/control-panel": {
"title": "$:/core/ui/Buttons/control-panel",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/options-button}} {{$:/language/Buttons/ControlPanel/Caption}}",
"description": "{{$:/language/Buttons/ControlPanel/Hint}}",
"text": "\\whitespace trim\n\\define control-panel-button(class)\n<$button to=\"$:/ControlPanel\" tooltip={{$:/language/Buttons/ControlPanel/Hint}} aria-label={{$:/language/Buttons/ControlPanel/Caption}} class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/options-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/ControlPanel/Caption}}/></span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/ControlPanel]]\" emptyMessage=<<control-panel-button>>>\n<<control-panel-button \"tc-selected\">>\n</$list>\n"
},
"$:/core/ui/Buttons/encryption": {
"title": "$:/core/ui/Buttons/encryption",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/locked-padlock}} {{$:/language/Buttons/Encryption/Caption}}",
"description": "{{$:/language/Buttons/Encryption/Hint}}",
"text": "\\whitespace trim\n<$reveal type=\"match\" state=\"$:/isEncrypted\" text=\"yes\">\n<$button message=\"tm-clear-password\" tooltip={{$:/language/Buttons/Encryption/ClearPassword/Hint}} aria-label={{$:/language/Buttons/Encryption/ClearPassword/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/locked-padlock}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Encryption/ClearPassword/Caption}}/></span>\n</$list>\n</$button>\n</$reveal>\n<$reveal type=\"nomatch\" state=\"$:/isEncrypted\" text=\"yes\">\n<$button message=\"tm-set-password\" tooltip={{$:/language/Buttons/Encryption/SetPassword/Hint}} aria-label={{$:/language/Buttons/Encryption/SetPassword/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/unlocked-padlock}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Encryption/SetPassword/Caption}}/></span>\n</$list>\n</$button>\n</$reveal>\n"
},
"$:/core/ui/Buttons/export-page": {
"title": "$:/core/ui/Buttons/export-page",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/export-button}} {{$:/language/Buttons/ExportPage/Caption}}",
"description": "{{$:/language/Buttons/ExportPage/Hint}}",
"text": "<$macrocall $name=\"exportButton\" exportFilter=\"[!is[system]sort[title]]\" lingoBase=\"$:/language/Buttons/ExportPage/\"/>"
},
"$:/core/ui/Buttons/fold-all": {
"title": "$:/core/ui/Buttons/fold-all",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/fold-all-button}} {{$:/language/Buttons/FoldAll/Caption}}",
"description": "{{$:/language/Buttons/FoldAll/Hint}}",
"text": "<$button tooltip={{$:/language/Buttons/FoldAll/Hint}} aria-label={{$:/language/Buttons/FoldAll/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-fold-all-tiddlers\" $param=<<currentTiddler>> foldedStatePrefix=\"$:/state/folded/\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n{{$:/core/images/fold-all-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/FoldAll/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/full-screen": {
"title": "$:/core/ui/Buttons/full-screen",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/full-screen-button}} {{$:/language/Buttons/FullScreen/Caption}}",
"description": "{{$:/language/Buttons/FullScreen/Hint}}",
"text": "<$button message=\"tm-full-screen\" tooltip={{$:/language/Buttons/FullScreen/Hint}} aria-label={{$:/language/Buttons/FullScreen/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/full-screen-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/FullScreen/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/home": {
"title": "$:/core/ui/Buttons/home",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/home-button}} {{$:/language/Buttons/Home/Caption}}",
"description": "{{$:/language/Buttons/Home/Hint}}",
"text": "<$button message=\"tm-home\" tooltip={{$:/language/Buttons/Home/Hint}} aria-label={{$:/language/Buttons/Home/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/home-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Home/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/import": {
"title": "$:/core/ui/Buttons/import",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/import-button}} {{$:/language/Buttons/Import/Caption}}",
"description": "{{$:/language/Buttons/Import/Hint}}",
"text": "<div class=\"tc-file-input-wrapper\">\n<$button tooltip={{$:/language/Buttons/Import/Hint}} aria-label={{$:/language/Buttons/Import/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/import-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Import/Caption}}/></span>\n</$list>\n</$button>\n<$browse tooltip={{$:/language/Buttons/Import/Hint}}/>\n</div>"
},
"$:/core/ui/Buttons/language": {
"title": "$:/core/ui/Buttons/language",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/globe}} {{$:/language/Buttons/Language/Caption}}",
"description": "{{$:/language/Buttons/Language/Hint}}",
"text": "\\whitespace trim\n\\define flag-title()\n$(languagePluginTitle)$/icon\n\\end\n<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/popup/language\">> tooltip={{$:/language/Buttons/Language/Hint}} aria-label={{$:/language/Buttons/Language/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n<span class=\"tc-image-button\">\n<$set name=\"languagePluginTitle\" value={{$:/language}}>\n<$image source=<<flag-title>>/>\n</$set>\n</span>\n</$list>\n<$text text=\" \"/>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Language/Caption}}/></span>\n</$list>\n</$button>\n</span>\n<$reveal state=<<qualify \"$:/state/popup/language\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n{{$:/snippets/languageswitcher}}\n</div>\n</$reveal>\n"
},
"$:/core/ui/Buttons/manager": {
"title": "$:/core/ui/Buttons/manager",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/list}} {{$:/language/Buttons/Manager/Caption}}",
"description": "{{$:/language/Buttons/Manager/Hint}}",
"text": "\\whitespace trim\n\\define manager-button(class)\n<$button to=\"$:/Manager\" tooltip={{$:/language/Buttons/Manager/Hint}} aria-label={{$:/language/Buttons/Manager/Caption}} class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/list}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Manager/Caption}}/></span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/Manager]]\" emptyMessage=<<manager-button>>>\n<<manager-button \"tc-selected\">>\n</$list>\n"
},
"$:/core/ui/Buttons/more-page-actions": {
"title": "$:/core/ui/Buttons/more-page-actions",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/down-arrow}} {{$:/language/Buttons/More/Caption}}",
"description": "{{$:/language/Buttons/More/Hint}}",
"text": "\\define config-title()\n$:/config/PageControlButtons/Visibility/$(listItem)$\n\\end\n<$button popup=<<qualify \"$:/state/popup/more\">> tooltip={{$:/language/Buttons/More/Hint}} aria-label={{$:/language/Buttons/More/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/down-arrow}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/More/Caption}}/></span>\n</$list>\n</$button><$reveal state=<<qualify \"$:/state/popup/more\">> type=\"popup\" position=\"below\" animate=\"yes\">\n\n<div class=\"tc-drop-down\">\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"tc-btn-invisible\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageControls]!has[draft.of]] -[[$:/core/ui/Buttons/more-page-actions]]\" variable=\"listItem\">\n\n<$reveal type=\"match\" state=<<config-title>> text=\"hide\">\n\n<$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$set>\n\n</$reveal>\n\n</$list>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</div>\n\n</$reveal>"
},
"$:/core/ui/Buttons/new-image": {
"title": "$:/core/ui/Buttons/new-image",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/new-image-button}} {{$:/language/Buttons/NewImage/Caption}}",
"description": "{{$:/language/Buttons/NewImage/Hint}}",
"text": "\\whitespace trim\n<$button tooltip={{$:/language/Buttons/NewImage/Hint}} aria-label={{$:/language/Buttons/NewImage/Caption}} class=<<tv-config-toolbar-class>> actions={{$:/core/ui/Actions/new-image}}>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/new-image-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/NewImage/Caption}}/></span>\n</$list>\n</$button>\n"
},
"$:/core/ui/Buttons/new-journal": {
"title": "$:/core/ui/Buttons/new-journal",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/new-journal-button}} {{$:/language/Buttons/NewJournal/Caption}}",
"description": "{{$:/language/Buttons/NewJournal/Hint}}",
"text": "\\whitespace trim\n\\define journalButton()\n<$button tooltip={{$:/language/Buttons/NewJournal/Hint}} aria-label={{$:/language/Buttons/NewJournal/Caption}} class=<<tv-config-toolbar-class>> actions={{$:/core/ui/Actions/new-journal}}>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/new-journal-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/NewJournal/Caption}}/></span>\n</$list>\n</$button>\n\\end\n<<journalButton>>\n"
},
"$:/core/ui/Buttons/new-tiddler": {
"title": "$:/core/ui/Buttons/new-tiddler",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/new-button}} {{$:/language/Buttons/NewTiddler/Caption}}",
"description": "{{$:/language/Buttons/NewTiddler/Hint}}",
"text": "\\whitespace trim\n<$button actions={{$:/core/ui/Actions/new-tiddler}} tooltip={{$:/language/Buttons/NewTiddler/Hint}} aria-label={{$:/language/Buttons/NewTiddler/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/new-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/NewTiddler/Caption}}/></span>\n</$list>\n</$button>\n"
},
"$:/core/ui/Buttons/palette": {
"title": "$:/core/ui/Buttons/palette",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/palette}} {{$:/language/Buttons/Palette/Caption}}",
"description": "{{$:/language/Buttons/Palette/Hint}}",
"text": "\\whitespace trim\n<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/popup/palette\">> tooltip={{$:/language/Buttons/Palette/Hint}} aria-label={{$:/language/Buttons/Palette/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/palette}}\n</$list>\n<$text text=\" \"/>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Palette/Caption}}/></span>\n</$list>\n</$button>\n</span>\n<$reveal state=<<qualify \"$:/state/popup/palette\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\" style=\"font-size:0.7em;\">\n{{$:/snippets/paletteswitcher}}\n</div>\n</$reveal>\n"
},
"$:/core/ui/Buttons/print": {
"title": "$:/core/ui/Buttons/print",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/print-button}} {{$:/language/Buttons/Print/Caption}}",
"description": "{{$:/language/Buttons/Print/Hint}}",
"text": "<$button message=\"tm-print\" tooltip={{$:/language/Buttons/Print/Hint}} aria-label={{$:/language/Buttons/Print/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/print-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Print/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/refresh": {
"title": "$:/core/ui/Buttons/refresh",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/refresh-button}} {{$:/language/Buttons/Refresh/Caption}}",
"description": "{{$:/language/Buttons/Refresh/Hint}}",
"text": "<$button message=\"tm-browser-refresh\" tooltip={{$:/language/Buttons/Refresh/Hint}} aria-label={{$:/language/Buttons/Refresh/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/refresh-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Refresh/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/save-wiki": {
"title": "$:/core/ui/Buttons/save-wiki",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/save-button}} {{$:/language/Buttons/SaveWiki/Caption}}",
"description": "{{$:/language/Buttons/SaveWiki/Hint}}",
"text": "<$button tooltip={{$:/language/Buttons/SaveWiki/Hint}} aria-label={{$:/language/Buttons/SaveWiki/Caption}} class=<<tv-config-toolbar-class>>>\n<$wikify name=\"site-title\" text={{$:/config/SaveWikiButton/Filename}}>\n<$action-sendmessage $message=\"tm-save-wiki\" $param={{$:/config/SaveWikiButton/Template}} filename=<<site-title>>/>\n</$wikify>\n<span class=\"tc-dirty-indicator\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/save-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/SaveWiki/Caption}}/></span>\n</$list>\n</span>\n</$button>"
},
"$:/core/ui/Buttons/storyview": {
"title": "$:/core/ui/Buttons/storyview",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/storyview-classic}} {{$:/language/Buttons/StoryView/Caption}}",
"description": "{{$:/language/Buttons/StoryView/Hint}}",
"text": "\\whitespace trim\n\\define icon()\n$:/core/images/storyview-$(storyview)$\n\\end\n<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/popup/storyview\">> tooltip={{$:/language/Buttons/StoryView/Hint}} aria-label={{$:/language/Buttons/StoryView/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n<$set name=\"storyview\" value={{$:/view}}>\n<$transclude tiddler=<<icon>>/>\n</$set>\n</$list>\n<$text text=\" \"/>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/StoryView/Caption}}/></span>\n</$list>\n</$button>\n</span>\n<$reveal state=<<qualify \"$:/state/popup/storyview\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n{{$:/snippets/viewswitcher}}\n</div>\n</$reveal>\n"
},
"$:/core/ui/Buttons/tag-manager": {
"title": "$:/core/ui/Buttons/tag-manager",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/tag-button}} {{$:/language/Buttons/TagManager/Caption}}",
"description": "{{$:/language/Buttons/TagManager/Hint}}",
"text": "\\whitespace trim\n\\define control-panel-button(class)\n<$button to=\"$:/TagManager\" tooltip={{$:/language/Buttons/TagManager/Hint}} aria-label={{$:/language/Buttons/TagManager/Caption}} class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/tag-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/TagManager/Caption}}/></span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/TagManager]]\" emptyMessage=<<control-panel-button>>>\n<<control-panel-button \"tc-selected\">>\n</$list>\n"
},
"$:/core/ui/Buttons/theme": {
"title": "$:/core/ui/Buttons/theme",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/theme-button}} {{$:/language/Buttons/Theme/Caption}}",
"description": "{{$:/language/Buttons/Theme/Hint}}",
"text": "\\whitespace trim\n<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/popup/theme\">> tooltip={{$:/language/Buttons/Theme/Hint}} aria-label={{$:/language/Buttons/Theme/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/theme-button}}\n</$list>\n<$text text=\" \"/>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Theme/Caption}}/></span>\n</$list>\n</$button>\n</span>\n<$reveal state=<<qualify \"$:/state/popup/theme\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n<$linkcatcher to=\"$:/theme\">\n{{$:/snippets/themeswitcher}}\n</$linkcatcher>\n</div>\n</$reveal>\n"
},
"$:/core/ui/Buttons/timestamp": {
"title": "$:/core/ui/Buttons/timestamp",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/timestamp-on}} {{$:/language/Buttons/Timestamp/Caption}}",
"description": "{{$:/language/Buttons/Timestamp/Hint}}",
"text": "\\whitespace trim\n<$reveal type=\"nomatch\" state=\"$:/config/TimestampDisable\" text=\"yes\">\n<$button tooltip={{$:/language/Buttons/Timestamp/On/Hint}} aria-label={{$:/language/Buttons/Timestamp/On/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-setfield $tiddler=\"$:/config/TimestampDisable\" $value=\"yes\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/timestamp-on}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Timestamp/On/Caption}}/></span>\n</$list>\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=\"$:/config/TimestampDisable\" text=\"yes\">\n<$button tooltip={{$:/language/Buttons/Timestamp/Off/Hint}} aria-label={{$:/language/Buttons/Timestamp/Off/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-setfield $tiddler=\"$:/config/TimestampDisable\" $value=\"no\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/timestamp-off}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Timestamp/Off/Caption}}/></span>\n</$list>\n</$button>\n</$reveal>\n"
},
"$:/core/ui/Buttons/unfold-all": {
"title": "$:/core/ui/Buttons/unfold-all",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/unfold-all-button}} {{$:/language/Buttons/UnfoldAll/Caption}}",
"description": "{{$:/language/Buttons/UnfoldAll/Hint}}",
"text": "<$button tooltip={{$:/language/Buttons/UnfoldAll/Hint}} aria-label={{$:/language/Buttons/UnfoldAll/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-unfold-all-tiddlers\" $param=<<currentTiddler>> foldedStatePrefix=\"$:/state/folded/\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n{{$:/core/images/unfold-all-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/UnfoldAll/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/PageTemplate/pagecontrols": {
"title": "$:/core/ui/PageTemplate/pagecontrols",
"text": "\\whitespace trim\n\\define config-title()\n$:/config/PageControlButtons/Visibility/$(listItem)$\n\\end\n<div class=\"tc-page-controls\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageControls]!has[draft.of]]\" variable=\"listItem\">\n<$set name=\"hidden\" value=<<config-title>>>\n<$list filter=\"[<hidden>!text[hide]]\" storyview=\"pop\" variable=\"ignore\">\n<$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\">\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n</$set>\n</$list>\n</$set>\n</$list>\n</div>\n"
},
"$:/core/ui/PageStylesheet": {
"title": "$:/core/ui/PageStylesheet",
"text": "\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n\n<$set name=\"currentTiddler\" value={{$:/language}}>\n\n<$set name=\"languageTitle\" value={{!!name}}>\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Stylesheet]!has[draft.of]]\">\n<$transclude mode=\"block\"/>\n</$list>\n\n</$set>\n\n</$set>\n"
},
"$:/core/ui/PageTemplate/alerts": {
"title": "$:/core/ui/PageTemplate/alerts",
"tags": "$:/tags/PageTemplate",
"text": "<div class=\"tc-alerts\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Alert]!has[draft.of]]\" template=\"$:/core/ui/AlertTemplate\" storyview=\"pop\"/>\n\n</div>\n"
},
"$:/core/ui/PageTemplate/drafts": {
"title": "$:/core/ui/PageTemplate/drafts",
"tags": "$:/tags/PageTemplate",
"text": "\\whitespace trim\n<$reveal state=\"$:/status/IsReadOnly\" type=\"nomatch\" text=\"yes\" tag=\"div\" class=\"tc-drafts-list\">\n<$list filter=\"[has[draft.of]!sort[modified]] -[list[$:/StoryList]]\">\n<$link>\n{{$:/core/images/edit-button}} <$text text=<<currentTiddler>>/>\n</$link>\n</$list>\n</$reveal>\n"
},
"$:/core/ui/PageTemplate/pluginreloadwarning": {
"title": "$:/core/ui/PageTemplate/pluginreloadwarning",
"tags": "$:/tags/PageTemplate",
"text": "\\define lingo-base() $:/language/\n\n<$list filter=\"[{$:/status/RequireReloadDueToPluginChange}match[yes]]\">\n\n<$reveal type=\"nomatch\" state=\"$:/temp/HidePluginWarning\" text=\"yes\">\n\n<div class=\"tc-plugin-reload-warning\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"\">\n\n<<lingo PluginReloadWarning>> <$button set=\"$:/temp/HidePluginWarning\" setTo=\"yes\" class=\"tc-btn-invisible\">{{$:/core/images/close-button}}</$button>\n\n</$set>\n\n</div>\n\n</$reveal>\n\n</$list>\n"
},
"$:/core/ui/PageTemplate/sidebar": {
"title": "$:/core/ui/PageTemplate/sidebar",
"tags": "$:/tags/PageTemplate",
"text": "\\whitespace trim\n\\define config-title()\n$:/config/SideBarSegments/Visibility/$(listItem)$\n\\end\n\n<$scrollable fallthrough=\"no\" class=\"tc-sidebar-scrollable\">\n\n<div class=\"tc-sidebar-header\">\n\n<$reveal state=\"$:/state/sidebar\" type=\"match\" text=\"yes\" default=\"yes\" retain=\"yes\" animate=\"yes\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SideBarSegment]!has[draft.of]]\" variable=\"listItem\">\n\n<$reveal type=\"nomatch\" state=<<config-title>> text=\"hide\" tag=\"div\">\n\n<$transclude tiddler=<<listItem>> mode=\"block\"/>\n\n</$reveal>\n\n</$list>\n\n</$reveal>\n\n</div>\n\n</$scrollable>\n"
},
"$:/core/ui/PageTemplate/story": {
"title": "$:/core/ui/PageTemplate/story",
"tags": "$:/tags/PageTemplate",
"text": "\\whitespace trim\n<section class=\"tc-story-river\">\n\n<section class=\"story-backdrop\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/AboveStory]!has[draft.of]]\">\n\n<$transclude/>\n\n</$list>\n\n</section>\n\n<$list filter=\"[list[$:/StoryList]]\" history=\"$:/HistoryList\" template={{$:/config/ui/ViewTemplate}} editTemplate={{$:/config/ui/EditTemplate}} storyview={{$:/view}} emptyMessage={{$:/config/EmptyStoryMessage}}/>\n\n<section class=\"story-frontdrop\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/BelowStory]!has[draft.of]]\">\n\n<$transclude/>\n\n</$list>\n\n</section>\n\n</section>\n"
},
"$:/core/ui/PageTemplate/topleftbar": {
"title": "$:/core/ui/PageTemplate/topleftbar",
"tags": "$:/tags/PageTemplate",
"text": "<span class=\"tc-topbar tc-topbar-left\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TopLeftBar]!has[draft.of]]\" variable=\"listItem\" storyview=\"pop\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$list>\n\n</span>\n"
},
"$:/core/ui/PageTemplate/toprightbar": {
"title": "$:/core/ui/PageTemplate/toprightbar",
"tags": "$:/tags/PageTemplate",
"text": "<span class=\"tc-topbar tc-topbar-right\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TopRightBar]!has[draft.of]]\" variable=\"listItem\" storyview=\"pop\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$list>\n\n</span>\n"
},
"$:/core/ui/PageTemplate": {
"title": "$:/core/ui/PageTemplate",
"text": "\\whitespace trim\n\\define containerClasses()\ntc-page-container tc-page-view-$(storyviewTitle)$ tc-language-$(languageTitle)$\n\\end\n\\import [[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\n\n<$set name=\"tv-config-toolbar-icons\" value={{$:/config/Toolbar/Icons}}>\n\n<$set name=\"tv-config-toolbar-text\" value={{$:/config/Toolbar/Text}}>\n\n<$set name=\"tv-config-toolbar-class\" value={{$:/config/Toolbar/ButtonClass}}>\n\n<$set name=\"tv-enable-drag-and-drop\" value={{$:/config/DragAndDrop/Enable}}>\n\n<$set name=\"tv-show-missing-links\" value={{$:/config/MissingLinks}}>\n\n<$set name=\"storyviewTitle\" value={{$:/view}}>\n\n<$set name=\"languageTitle\" value={{{ [{$:/language}get[name]] }}}>\n\n<div class=<<containerClasses>>>\n\n<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\" openLinkFromInsideRiver={{$:/config/Navigation/openLinkFromInsideRiver}} openLinkFromOutsideRiver={{$:/config/Navigation/openLinkFromOutsideRiver}} relinkOnRename={{$:/config/RelinkOnRename}}>\n\n<$dropzone enable=<<tv-enable-drag-and-drop>>>\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageTemplate]!has[draft.of]]\" variable=\"listItem\">\n\n<$transclude tiddler=<<listItem>>/>\n\n</$list>\n\n</$dropzone>\n\n</$navigator>\n\n</div>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n"
},
"$:/PaletteManager": {
"title": "$:/PaletteManager",
"text": "\\define lingo-base() $:/language/ControlPanel/Palette/Editor/\n\\define describePaletteColour(colour)\n<$transclude tiddler=\"$:/language/Docs/PaletteColours/$colour$\"><$text text=\"$colour$\"/></$transclude>\n\\end\n\\define edit-colour-placeholder()\n edit $(colourName)$\n\\end\n\\define colour-tooltip(showhide) $showhide$ editor for $(newColourName)$ \n\\define resolve-colour(macrocall)\n\\import $:/core/macros/utils\n\\whitespace trim\n<$wikify name=\"name\" text=\"\"\"$macrocall$\"\"\">\n<<name>>\n</$wikify>\n\\end\n\\define delete-colour-index-actions() <$action-setfield $index=<<colourName>>/>\n\\define palette-manager-colour-row-segment()\n\\whitespace trim\n<$edit-text index=<<colourName>> tag=\"input\" placeholder=<<edit-colour-placeholder>> default=\"\"/>\n<br>\n<$edit-text index=<<colourName>> type=\"color\" tag=\"input\" class=\"tc-palette-manager-colour-input\"/>\n<$list filter=\"[<currentTiddler>getindex<colourName>removeprefix[<<]removesuffix[>>]] [<currentTiddler>getindex<colourName>removeprefix[<$]removesuffix[/>]]\" variable=\"ignore\">\n<$set name=\"state\" value={{{ [[$:/state/palettemanager/]addsuffix<currentTiddler>addsuffix[/]addsuffix<colourName>] }}}>\n<$wikify name=\"newColourName\" text=\"\"\"<$macrocall $name=\"resolve-colour\" macrocall={{{ [<currentTiddler>getindex<colourName>] }}}/>\"\"\">\n<$reveal state=<<state>> type=\"nomatch\" text=\"show\">\n<$button tooltip=<<colour-tooltip show>> aria-label=<<colour-tooltip show>> class=\"tc-btn-invisible\" set=<<state>> setTo=\"show\">{{$:/core/images/down-arrow}} <$text text=<<newColourName>>/></$button><br>\n</$reveal>\n<$reveal state=<<state>> type=\"match\" text=\"show\">\n<$button tooltip=<<colour-tooltip hide>> aria-label=<<colour-tooltip show>> class=\"tc-btn-invisible\" actions=\"\"\"<$action-deletetiddler $tiddler=<<state>>/>\"\"\">{{$:/core/images/up-arrow}} <$text text=<<newColourName>>/></$button><br>\n</$reveal>\n<$reveal state=<<state>> type=\"match\" text=\"show\">\n<$set name=\"colourName\" value=<<newColourName>>>\n<br>\n<<palette-manager-colour-row-segment>>\n<br><br>\n</$set>\n</$reveal>\n</$wikify>\n</$set>\n</$list>\n\\end\n\\define palette-manager-colour-row()\n\\whitespace trim\n<tr>\n<td>\n<span style=\"float:right;\">\n<$button tooltip=<<lingo Delete/Hint>> aria-label=<<lingo Delete/Hint>> class=\"tc-btn-invisible\" actions=<<delete-colour-index-actions>>>\n{{$:/core/images/delete-button}}</$button>\n</span>\n''<$macrocall $name=\"describePaletteColour\" colour=<<colourName>>/>''<br/>\n<$macrocall $name=\"colourName\" $output=\"text/plain\"/>\n</td>\n<td>\n<<palette-manager-colour-row-segment>>\n</td>\n</tr>\n\\end\n\\define palette-manager-table()\n\\whitespace trim\n<table>\n<tbody>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Palette]indexes[]]\" variable=\"colourName\">\n<$list filter=\"[<currentTiddler>indexes[]removeprefix<colourName>suffix[]]\" variable=\"ignore\" emptyMessage=\"\"\"\n<$list filter=\"[{$:/state/palettemanager/showexternal}removeprefix[yes]suffix[]]\" variable=\"ignore\">\n<<palette-manager-colour-row>>\n</$list>\n\"\"\">\n<<palette-manager-colour-row>>\n</$list>\n</$list>\n</tbody>\n</table>\n\\end\n<$set name=\"currentTiddler\" value={{$:/palette}}>\n\n<<lingo Prompt>> <$link to={{$:/palette}}><$macrocall $name=\"currentTiddler\" $output=\"text/plain\"/></$link>\n\n<$list filter=\"[all[current]is[shadow]is[tiddler]]\" variable=\"listItem\">\n<<lingo Prompt/Modified>>\n<$button message=\"tm-delete-tiddler\" param={{$:/palette}}><<lingo Reset/Caption>></$button>\n</$list>\n\n<$list filter=\"[all[current]is[shadow]!is[tiddler]]\" variable=\"listItem\">\n<<lingo Clone/Prompt>>\n</$list>\n\n<$button message=\"tm-new-tiddler\" param={{$:/palette}}><<lingo Clone/Caption>></$button>\n\n<$checkbox tiddler=\"$:/state/palettemanager/showexternal\" field=\"text\" checked=\"yes\" unchecked=\"no\"> <<lingo Names/External/Show>></$checkbox>\n\n<<palette-manager-table>>\n"
},
"$:/core/ui/PluginInfo": {
"title": "$:/core/ui/PluginInfo",
"text": "\\define localised-info-tiddler-title()\n$(currentTiddler)$/$(languageTitle)$/$(currentTab)$\n\\end\n\\define info-tiddler-title()\n$(currentTiddler)$/$(currentTab)$\n\\end\n\\define default-tiddler-title()\n$:/core/ui/PluginInfo/Default/$(currentTab)$\n\\end\n<$transclude tiddler=<<localised-info-tiddler-title>> mode=\"block\">\n<$transclude tiddler=<<currentTiddler>> subtiddler=<<localised-info-tiddler-title>> mode=\"block\">\n<$transclude tiddler=<<currentTiddler>> subtiddler=<<info-tiddler-title>> mode=\"block\">\n<$transclude tiddler=<<default-tiddler-title>> mode=\"block\">\n{{$:/language/ControlPanel/Plugin/NoInfoFound/Hint}}\n</$transclude>\n</$transclude>\n</$transclude>\n</$transclude>\n"
},
"$:/core/ui/PluginInfo/Default/contents": {
"title": "$:/core/ui/PluginInfo/Default/contents",
"text": "\\define lingo-base() $:/language/TiddlerInfo/Advanced/PluginInfo/\n<<lingo Hint>>\n<ul>\n<$list filter=\"[all[current]plugintiddlers[]sort[title]]\" emptyMessage=<<lingo Empty/Hint>>>\n<li>\n<$link />\n</li>\n</$list>\n</ul>\n"
},
"$:/core/ui/PluginListItemTemplate": {
"title": "$:/core/ui/PluginListItemTemplate",
"text": "<div class=\"tc-menu-list-item\">\n<$link to={{!!title}}><$view field=\"description\"><$view field=\"title\"/></$view></$link>\n</div>"
},
"$:/core/ui/SearchResults": {
"title": "$:/core/ui/SearchResults",
"text": "<div class=\"tc-search-results\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]butfirst[]limit[1]]\" emptyMessage=\"\"\"\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]\">\n<$transclude mode=\"block\"/>\n</$list>\n\"\"\">\n\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]\" default={{$:/config/SearchResults/Default}}/>\n\n</$list>\n\n</div>\n"
},
"$:/core/ui/SideBar/More": {
"title": "$:/core/ui/SideBar/More",
"tags": "$:/tags/SideBar",
"caption": "{{$:/language/SideBar/More/Caption}}",
"text": "<div class=\"tc-more-sidebar\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/MoreSideBar]!has[draft.of]]\" default={{$:/config/DefaultMoreSidebarTab}} state=\"$:/state/tab/moresidebar\" class=\"tc-vertical tc-sidebar-tabs-more\" />\n</div>"
},
"$:/core/ui/SideBar/Open": {
"title": "$:/core/ui/SideBar/Open",
"tags": "$:/tags/SideBar",
"caption": "{{$:/language/SideBar/Open/Caption}}",
"text": "\\whitespace trim\n\\define lingo-base() $:/language/CloseAll/\n\n\\define drop-actions()\n<$action-listops $tiddler=<<tv-story-list>> $subfilter=\"+[insertbefore:currentTiddler<actionTiddler>]\"/>\n\\end\n\n\\define placeholder()\n<div class=\"tc-droppable-placeholder\"/>\n\\end\n\n\\define droppable-item(button)\n\\whitespace trim\n<$droppable actions=<<drop-actions>> enable=<<tv-allow-drag-and-drop>>>\n<<placeholder>>\n<div>\n$button$\n</div>\n</$droppable>\n\\end\n\n<div class=\"tc-sidebar-tab-open\">\n<$list filter=\"[list<tv-story-list>]\" history=<<tv-history-list>> storyview=\"pop\">\n<div class=\"tc-sidebar-tab-open-item\">\n<$macrocall $name=\"droppable-item\" button=\"\"\"<$button message=\"tm-close-tiddler\" tooltip={{$:/language/Buttons/Close/Hint}} aria-label={{$:/language/Buttons/Close/Caption}} class=\"tc-btn-invisible tc-btn-mini\">{{$:/core/images/close-button}}</$button> <$link to={{!!title}}><$view field=\"title\"/></$link>\"\"\"/>\n</div>\n</$list>\n<$tiddler tiddler=\"\">\n<div>\n<$macrocall $name=\"droppable-item\" button=\"\"\"<$button message=\"tm-close-all-tiddlers\" class=\"tc-btn-invisible tc-btn-mini\"><<lingo Button>></$button>\"\"\"/>\n</div>\n</$tiddler>\n</div>\n"
},
"$:/core/ui/SideBar/Recent": {
"title": "$:/core/ui/SideBar/Recent",
"tags": "$:/tags/SideBar",
"caption": "{{$:/language/SideBar/Recent/Caption}}",
"text": "<$macrocall $name=\"timeline\" format={{$:/language/RecentChanges/DateFormat}}/>\n"
},
"$:/core/ui/SideBar/Tools": {
"title": "$:/core/ui/SideBar/Tools",
"tags": "$:/tags/SideBar",
"caption": "{{$:/language/SideBar/Tools/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/\n\\define config-title()\n$:/config/PageControlButtons/Visibility/$(listItem)$\n\\end\n\n<<lingo Basics/Version/Prompt>> <<version>>\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageControls]!has[draft.of]]\" variable=\"listItem\">\n\n<div style=\"position:relative;\" class={{{ [<listItem>encodeuricomponent[]addprefix[tc-btn-]] }}}>\n\n<$checkbox tiddler=<<config-title>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/> <$transclude tiddler=<<listItem>>/> <i class=\"tc-muted\"><$transclude tiddler=<<listItem>> field=\"description\"/></i>\n\n</div>\n\n</$list>\n\n</$set>\n\n</$set>\n\n</$set>\n"
},
"$:/core/ui/SideBarLists": {
"title": "$:/core/ui/SideBarLists",
"text": "<$transclude tiddler=\"$:/core/ui/SideBarSegments/search\"/>\n\n<$transclude tiddler=\"$:/core/ui/SideBarSegments/tabs\"/>\n\n"
},
"$:/core/ui/SideBarSegments/page-controls": {
"title": "$:/core/ui/SideBarSegments/page-controls",
"tags": "$:/tags/SideBarSegment",
"text": "{{||$:/core/ui/PageTemplate/pagecontrols}}\n"
},
"$:/core/ui/SideBarSegments/search": {
"title": "$:/core/ui/SideBarSegments/search",
"tags": "$:/tags/SideBarSegment",
"text": "\\whitespace trim\n<div class=\"tc-sidebar-lists tc-sidebar-search\">\n\n<$set name=\"searchTiddler\" value=\"$:/temp/search\">\n<div class=\"tc-search\">\n<$edit-text tiddler=\"$:/temp/search\" type=\"search\" tag=\"input\" focus={{$:/config/Search/AutoFocus}} focusPopup=<<qualify \"$:/state/popup/search-dropdown\">> class=\"tc-popup-handle\"/>\n<$reveal state=\"$:/temp/search\" type=\"nomatch\" text=\"\">\n<$button tooltip={{$:/language/Buttons/AdvancedSearch/Hint}} aria-label={{$:/language/Buttons/AdvancedSearch/Caption}} class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" text={{$:/temp/search}}/>\n<$action-setfield $tiddler=\"$:/temp/search\" text=\"\"/>\n<$action-navigate $to=\"$:/AdvancedSearch\"/>\n{{$:/core/images/advanced-search-button}}\n</$button>\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/search\" text=\"\" />\n{{$:/core/images/close-button}}\n</$button>\n<$button popup=<<qualify \"$:/state/popup/search-dropdown\">> class=\"tc-btn-invisible\">\n{{$:/core/images/down-arrow}}\n<$list filter=\"[{$:/temp/search}minlength{$:/config/Search/MinLength}limit[1]]\" variable=\"listItem\">\n<$set name=\"searchTerm\" value={{{ [<searchTiddler>get[text]] }}}>\n<$set name=\"resultCount\" value=\"\"\"<$count filter=\"[!is[system]search<searchTerm>]\"/>\"\"\">\n{{$:/language/Search/Matches}}\n</$set>\n</$set>\n</$list>\n</$button>\n</$reveal>\n<$reveal state=\"$:/temp/search\" type=\"match\" text=\"\">\n<$button to=\"$:/AdvancedSearch\" tooltip={{$:/language/Buttons/AdvancedSearch/Hint}} aria-label={{$:/language/Buttons/AdvancedSearch/Caption}} class=\"tc-btn-invisible\">\n{{$:/core/images/advanced-search-button}}\n</$button>\n</$reveal>\n</div>\n\n<$reveal tag=\"div\" class=\"tc-block-dropdown-wrapper\" state=\"$:/temp/search\" type=\"nomatch\" text=\"\">\n\n<$reveal tag=\"div\" class=\"tc-block-dropdown tc-search-drop-down tc-popup-handle\" state=<<qualify \"$:/state/popup/search-dropdown\">> type=\"nomatch\" text=\"\" default=\"\">\n\n<$list filter=\"[{$:/temp/search}minlength{$:/config/Search/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n\n{{$:/core/ui/SearchResults}}\n\n</$list>\n\n</$reveal>\n\n</$reveal>\n\n</$set>\n\n</div>\n"
},
"$:/core/ui/SideBarSegments/site-subtitle": {
"title": "$:/core/ui/SideBarSegments/site-subtitle",
"tags": "$:/tags/SideBarSegment",
"text": "<div class=\"tc-site-subtitle\">\n\n<$transclude tiddler=\"$:/SiteSubtitle\" mode=\"inline\"/>\n\n</div>\n"
},
"$:/core/ui/SideBarSegments/site-title": {
"title": "$:/core/ui/SideBarSegments/site-title",
"tags": "$:/tags/SideBarSegment",
"text": "<h1 class=\"tc-site-title\">\n\n<$transclude tiddler=\"$:/SiteTitle\" mode=\"inline\"/>\n\n</h1>\n"
},
"$:/core/ui/SideBarSegments/tabs": {
"title": "$:/core/ui/SideBarSegments/tabs",
"tags": "$:/tags/SideBarSegment",
"text": "<div class=\"tc-sidebar-lists tc-sidebar-tabs\">\n\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/SideBar]!has[draft.of]]\" default={{$:/config/DefaultSidebarTab}} state=\"$:/state/tab/sidebar\" class=\"tc-sidebar-tabs-main\"/>\n\n</div>\n"
},
"$:/TagManager": {
"title": "$:/TagManager",
"icon": "$:/core/images/tag-button",
"color": "#bbb",
"text": "\\define lingo-base() $:/language/TagManager/\n\\define iconEditorTab(type)\n\\whitespace trim\n<$link to=\"\"><<lingo Icons/None>></$link>\n<$list filter=\"[all[shadows+tiddlers]is[image]] [all[shadows+tiddlers]tag[$:/tags/Image]] -[type[application/pdf]] +[sort[title]] +[$type$is[system]]\">\n<$link to={{!!title}}>\n<$transclude/> <$view field=\"title\"/>\n</$link>\n</$list>\n\\end\n\\define iconEditor(title)\n\\whitespace trim\n<div class=\"tc-drop-down-wrapper\">\n<$button popupTitle={{{ [[$:/state/popup/icon/]addsuffix<__title__>] }}} class=\"tc-btn-invisible tc-btn-dropdown\">{{$:/core/images/down-arrow}}</$button>\n<$reveal stateTitle={{{ [[$:/state/popup/icon/]addsuffix<__title__>] }}} type=\"popup\" position=\"belowleft\" text=\"\" default=\"\">\n<div class=\"tc-drop-down\">\n<$linkcatcher actions=\"\"\"<$action-setfield $tiddler=<<__title__>> icon=<<navigateTo>>/>\"\"\">\n<<iconEditorTab type:\"!\">>\n<hr/>\n<<iconEditorTab type:\"\">>\n</$linkcatcher>\n</div>\n</$reveal>\n</div>\n\\end\n\\define toggleButton(state)\n\\whitespace trim\n<$reveal stateTitle=<<__state__>> type=\"match\" text=\"closed\" default=\"closed\">\n<$button setTitle=<<__state__>> setTo=\"open\" class=\"tc-btn-invisible tc-btn-dropdown\" selectedClass=\"tc-selected\">\n{{$:/core/images/info-button}}\n</$button>\n</$reveal>\n<$reveal stateTitle=<<__state__>> type=\"match\" text=\"open\" default=\"closed\">\n<$button setTitle=<<__state__>> setTo=\"closed\" class=\"tc-btn-invisible tc-btn-dropdown\" selectedClass=\"tc-selected\">\n{{$:/core/images/info-button}}\n</$button>\n</$reveal>\n\\end\n\\whitespace trim\n<table class=\"tc-tag-manager-table\">\n<tbody>\n<tr>\n<th><<lingo Colour/Heading>></th>\n<th class=\"tc-tag-manager-tag\"><<lingo Tag/Heading>></th>\n<th><<lingo Count/Heading>></th>\n<th><<lingo Icon/Heading>></th>\n<th><<lingo Info/Heading>></th>\n</tr>\n<$list filter=\"[tags[]!is[system]sort[title]]\">\n<tr>\n<td><$edit-text field=\"color\" tag=\"input\" type=\"color\"/></td>\n<td>{{||$:/core/ui/TagTemplate}}</td>\n<td><$count filter=\"[all[current]tagging[]]\"/></td>\n<td>\n<$macrocall $name=\"iconEditor\" title={{!!title}}/>\n</td>\n<td>\n<$macrocall $name=\"toggleButton\" state={{{ [[$:/state/tag-manager/]addsuffix<currentTiddler>] }}} /> \n</td>\n</tr>\n<tr>\n<td></td>\n<td colspan=\"4\">\n<$reveal stateTitle={{{ [[$:/state/tag-manager/]addsuffix<currentTiddler>] }}} type=\"match\" text=\"open\" default=\"\">\n<table>\n<tbody>\n<tr><td><<lingo Colour/Heading>></td><td><$edit-text field=\"color\" tag=\"input\" type=\"text\" size=\"9\"/></td></tr>\n<tr><td><<lingo Icon/Heading>></td><td><$edit-text field=\"icon\" tag=\"input\" size=\"45\"/></td></tr>\n</tbody>\n</table>\n</$reveal>\n</td>\n</tr>\n</$list>\n<tr>\n<td></td>\n<td style=\"position:relative;\">\n{{$:/core/ui/UntaggedTemplate}}\n</td>\n<td>\n<small class=\"tc-menu-list-count\"><$count filter=\"[untagged[]!is[system]] -[tags[]]\"/></small>\n</td>\n<td></td>\n<td></td>\n</tr>\n</tbody>\n</table>\n"
},
"$:/core/ui/TagTemplate": {
"title": "$:/core/ui/TagTemplate",
"text": "\\whitespace trim\n<span class=\"tc-tag-list-item\">\n<$set name=\"transclusion\" value=<<currentTiddler>>>\n<$macrocall $name=\"tag-pill-body\" tag=<<currentTiddler>> icon={{!!icon}} colour={{!!color}} palette={{$:/palette}} element-tag=\"\"\"$button\"\"\" element-attributes=\"\"\"popup=<<qualify \"$:/state/popup/tag\">> dragFilter='[all[current]tagging[]]' tag='span'\"\"\"/>\n<$reveal state=<<qualify \"$:/state/popup/tag\">> type=\"popup\" position=\"below\" animate=\"yes\" class=\"tc-drop-down\">\n<$set name=\"tv-show-missing-links\" value=\"yes\">\n<$transclude tiddler=\"$:/core/ui/ListItemTemplate\"/>\n</$set>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TagDropdown]!has[draft.of]]\" variable=\"listItem\"> \n<$transclude tiddler=<<listItem>>/> \n</$list>\n<hr>\n<$macrocall $name=\"list-tagged-draggable\" tag=<<currentTiddler>>/>\n</$reveal>\n</$set>\n</span>\n"
},
"$:/core/ui/TiddlerFieldTemplate": {
"title": "$:/core/ui/TiddlerFieldTemplate",
"text": "<tr class=\"tc-view-field\">\n<td class=\"tc-view-field-name\">\n<$text text=<<listItem>>/>\n</td>\n<td class=\"tc-view-field-value\">\n<$view field=<<listItem>>/>\n</td>\n</tr>"
},
"$:/core/ui/TiddlerFields": {
"title": "$:/core/ui/TiddlerFields",
"text": "<table class=\"tc-view-field-table\">\n<tbody>\n<$list filter=\"[all[current]fields[]sort[title]] -text\" template=\"$:/core/ui/TiddlerFieldTemplate\" variable=\"listItem\"/>\n</tbody>\n</table>\n"
},
"$:/core/ui/TiddlerInfo/Advanced/PluginInfo": {
"title": "$:/core/ui/TiddlerInfo/Advanced/PluginInfo",
"tags": "$:/tags/TiddlerInfo/Advanced",
"text": "\\define lingo-base() $:/language/TiddlerInfo/Advanced/PluginInfo/\n<$list filter=\"[all[current]has[plugin-type]]\">\n\n! <<lingo Heading>>\n\n<<lingo Hint>>\n<ul>\n<$list filter=\"[all[current]plugintiddlers[]sort[title]]\" emptyMessage=<<lingo Empty/Hint>>>\n<li>\n<$link to={{!!title}}>\n<$view field=\"title\"/>\n</$link>\n</li>\n</$list>\n</ul>\n\n</$list>\n"
},
"$:/core/ui/TiddlerInfo/Advanced/ShadowInfo": {
"title": "$:/core/ui/TiddlerInfo/Advanced/ShadowInfo",
"tags": "$:/tags/TiddlerInfo/Advanced",
"text": "\\define lingo-base() $:/language/TiddlerInfo/Advanced/ShadowInfo/\n<$set name=\"infoTiddler\" value=<<currentTiddler>>>\n\n''<<lingo Heading>>''\n\n<$list filter=\"[all[current]!is[shadow]]\">\n\n<<lingo NotShadow/Hint>>\n\n</$list>\n\n<$list filter=\"[all[current]is[shadow]]\">\n\n<<lingo Shadow/Hint>>\n\n<$list filter=\"[all[current]shadowsource[]]\">\n\n<$set name=\"pluginTiddler\" value=<<currentTiddler>>>\n<<lingo Shadow/Source>>\n</$set>\n\n</$list>\n\n<$list filter=\"[all[current]is[shadow]is[tiddler]]\">\n\n<<lingo OverriddenShadow/Hint>>\n\n</$list>\n\n\n</$list>\n</$set>\n"
},
"$:/core/ui/TiddlerInfo/Advanced": {
"title": "$:/core/ui/TiddlerInfo/Advanced",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/Advanced/Caption}}",
"text": "<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TiddlerInfo/Advanced]!has[draft.of]]\" variable=\"listItem\">\n<$transclude tiddler=<<listItem>>/>\n\n</$list>\n"
},
"$:/core/ui/TiddlerInfo/Fields": {
"title": "$:/core/ui/TiddlerInfo/Fields",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/Fields/Caption}}",
"text": "<$transclude tiddler=\"$:/core/ui/TiddlerFields\"/>\n"
},
"$:/core/ui/TiddlerInfo/List": {
"title": "$:/core/ui/TiddlerInfo/List",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/List/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n<$list filter=\"[list{!!title}]\" emptyMessage=<<lingo List/Empty>> template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/TiddlerInfo/Listed": {
"title": "$:/core/ui/TiddlerInfo/Listed",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/Listed/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n<$list filter=\"[all[current]listed[]!is[system]]\" emptyMessage=<<lingo Listed/Empty>> template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/TiddlerInfo/References": {
"title": "$:/core/ui/TiddlerInfo/References",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/References/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n<$list filter=\"[all[current]backlinks[]sort[title]]\" emptyMessage=<<lingo References/Empty>> template=\"$:/core/ui/ListItemTemplate\">\n</$list>"
},
"$:/core/ui/TiddlerInfo/Tagging": {
"title": "$:/core/ui/TiddlerInfo/Tagging",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/Tagging/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n<$list filter=\"[all[current]tagging[]]\" emptyMessage=<<lingo Tagging/Empty>> template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/TiddlerInfo/Tools": {
"title": "$:/core/ui/TiddlerInfo/Tools",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/Tools/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n\\define config-title()\n$:/config/ViewToolbarButtons/Visibility/$(listItem)$\n\\end\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewToolbar]!has[draft.of]]\" variable=\"listItem\">\n\n<$checkbox tiddler=<<config-title>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/> <$transclude tiddler=<<listItem>>/> <i class=\"tc-muted\"><$transclude tiddler=<<listItem>> field=\"description\"/></i>\n\n</$list>\n\n</$set>\n\n</$set>\n\n</$set>\n"
},
"$:/core/ui/TiddlerInfo": {
"title": "$:/core/ui/TiddlerInfo",
"text": "<div style=\"position:relative;\">\n<div class=\"tc-tiddler-controls\" style=\"position:absolute;right:0;\">\n<$reveal state=\"$:/config/TiddlerInfo/Mode\" type=\"match\" text=\"sticky\">\n<$button set=<<tiddlerInfoState>> setTo=\"\" tooltip={{$:/language/Buttons/Info/Hint}} aria-label={{$:/language/Buttons/Info/Caption}} class=\"tc-btn-invisible\">\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n</div>\n\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/TiddlerInfo]!has[draft.of]]\" default={{$:/config/TiddlerInfo/Default}}/>"
},
"$:/core/ui/TopBar/menu": {
"title": "$:/core/ui/TopBar/menu",
"tags": "$:/tags/TopRightBar",
"text": "<$list filter=\"[[$:/state/sidebar]get[text]] +[else[yes]!match[no]]\" variable=\"ignore\">\n<$button set=\"$:/state/sidebar\" setTo=\"no\" tooltip={{$:/language/Buttons/HideSideBar/Hint}} aria-label={{$:/language/Buttons/HideSideBar/Caption}} class=\"tc-btn-invisible\">{{$:/core/images/chevron-right}}</$button>\n</$list>\n<$list filter=\"[[$:/state/sidebar]get[text]] +[else[yes]match[no]]\" variable=\"ignore\">\n<$button set=\"$:/state/sidebar\" setTo=\"yes\" tooltip={{$:/language/Buttons/ShowSideBar/Hint}} aria-label={{$:/language/Buttons/ShowSideBar/Caption}} class=\"tc-btn-invisible\">{{$:/core/images/chevron-left}}</$button>\n</$list>\n"
},
"$:/core/ui/UntaggedTemplate": {
"title": "$:/core/ui/UntaggedTemplate",
"text": "\\define lingo-base() $:/language/SideBar/\n<$button popup=<<qualify \"$:/state/popup/tag\">> class=\"tc-btn-invisible tc-untagged-label tc-tag-label\">\n<<lingo Tags/Untagged/Caption>>\n</$button>\n<$reveal state=<<qualify \"$:/state/popup/tag\">> type=\"popup\" position=\"below\">\n<div class=\"tc-drop-down\">\n<$list filter=\"[untagged[]!is[system]] -[tags[]] +[sort[title]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n</div>\n</$reveal>\n"
},
"$:/core/ui/ViewTemplate/body": {
"title": "$:/core/ui/ViewTemplate/body",
"tags": "$:/tags/ViewTemplate",
"text": "<$reveal tag=\"div\" class=\"tc-tiddler-body\" type=\"nomatch\" stateTitle=<<folded-state>> text=\"hide\" retain=\"yes\" animate=\"yes\">\n\n<$list filter=\"[all[current]!has[plugin-type]!field:hide-body[yes]]\">\n\n<$transclude>\n\n<$transclude tiddler=\"$:/language/MissingTiddler/Hint\"/>\n\n</$transclude>\n\n</$list>\n\n</$reveal>\n"
},
"$:/core/ui/ViewTemplate/classic": {
"title": "$:/core/ui/ViewTemplate/classic",
"tags": "$:/tags/ViewTemplate $:/tags/EditTemplate",
"text": "\\define lingo-base() $:/language/ClassicWarning/\n<$list filter=\"[all[current]type[text/x-tiddlywiki]]\">\n<div class=\"tc-message-box\">\n\n<<lingo Hint>>\n\n<$button set=\"!!type\" setTo=\"text/vnd.tiddlywiki\"><<lingo Upgrade/Caption>></$button>\n\n</div>\n</$list>\n"
},
"$:/core/ui/ViewTemplate/import": {
"title": "$:/core/ui/ViewTemplate/import",
"tags": "$:/tags/ViewTemplate",
"text": "\\define lingo-base() $:/language/Import/\n\n\\define buttons()\n<$button message=\"tm-delete-tiddler\" param=<<currentTiddler>>><<lingo Listing/Cancel/Caption>></$button>\n<$button message=\"tm-perform-import\" param=<<currentTiddler>>><<lingo Listing/Import/Caption>></$button>\n<<lingo Listing/Preview>> <$select tiddler=\"$:/state/importpreviewtype\" default=\"$:/core/ui/ImportPreviews/Text\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ImportPreview]!has[draft.of]]\">\n<option value=<<currentTiddler>>>{{!!caption}}</option>\n</$list>\n</$select>\n\\end\n\n<$list filter=\"[all[current]field:plugin-type[import]]\">\n\n<div class=\"tc-import\">\n\n<<lingo Listing/Hint>>\n\n<<buttons>>\n\n{{||$:/core/ui/ImportListing}}\n\n<<buttons>>\n\n</div>\n\n</$list>\n"
},
"$:/core/ui/ViewTemplate/plugin": {
"title": "$:/core/ui/ViewTemplate/plugin",
"tags": "$:/tags/ViewTemplate",
"text": "<$list filter=\"[all[current]has[plugin-type]] -[all[current]field:plugin-type[import]]\">\n<$set name=\"plugin-type\" value={{!!plugin-type}}>\n<$set name=\"default-popup-state\" value=\"yes\">\n<$set name=\"qualified-state\" value=<<qualify \"$:/state/plugin-info\">>>\n{{||$:/core/ui/Components/plugin-info}}\n</$set>\n</$set>\n</$set>\n</$list>\n"
},
"$:/core/ui/ViewTemplate/subtitle": {
"title": "$:/core/ui/ViewTemplate/subtitle",
"tags": "$:/tags/ViewTemplate",
"text": "\\whitespace trim\n<$reveal type=\"nomatch\" stateTitle=<<folded-state>> text=\"hide\" tag=\"div\" retain=\"yes\" animate=\"yes\">\n<div class=\"tc-subtitle\">\n<$link to={{!!modifier}} />\n<$view field=\"modified\" format=\"date\" template={{$:/language/Tiddler/DateFormat}}/>\n</div>\n</$reveal>\n"
},
"$:/core/ui/ViewTemplate/tags": {
"title": "$:/core/ui/ViewTemplate/tags",
"tags": "$:/tags/ViewTemplate",
"text": "<$reveal type=\"nomatch\" stateTitle=<<folded-state>> text=\"hide\" tag=\"div\" retain=\"yes\" animate=\"yes\">\n<div class=\"tc-tags-wrapper\"><$list filter=\"[all[current]tags[]sort[title]]\" template=\"$:/core/ui/TagTemplate\" storyview=\"pop\"/></div>\n</$reveal>\n"
},
"$:/core/ui/ViewTemplate/title": {
"title": "$:/core/ui/ViewTemplate/title",
"tags": "$:/tags/ViewTemplate",
"text": "\\whitespace trim\n\\define title-styles()\nfill:$(foregroundColor)$;\n\\end\n\\define config-title()\n$:/config/ViewToolbarButtons/Visibility/$(listItem)$\n\\end\n<div class=\"tc-tiddler-title\">\n<div class=\"tc-titlebar\">\n<span class=\"tc-tiddler-controls\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewToolbar]!has[draft.of]]\" variable=\"listItem\"><$reveal type=\"nomatch\" state=<<config-title>> text=\"hide\"><$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\"><$transclude tiddler=<<listItem>>/></$set></$reveal></$list>\n</span>\n<$set name=\"tv-wikilinks\" value={{$:/config/Tiddlers/TitleLinks}}>\n<$link>\n<$set name=\"foregroundColor\" value={{!!color}}>\n<span class=\"tc-tiddler-title-icon\" style=<<title-styles>>>\n<$transclude tiddler={{!!icon}}>\n<$transclude tiddler={{$:/config/DefaultTiddlerIcon}}/>\n</$transclude>\n</span>\n</$set>\n<$list filter=\"[all[current]removeprefix[$:/]]\">\n<h2 class=\"tc-title\" title={{$:/language/SystemTiddler/Tooltip}}>\n<span class=\"tc-system-title-prefix\">$:/</span><$text text=<<currentTiddler>>/>\n</h2>\n</$list>\n<$list filter=\"[all[current]!prefix[$:/]]\">\n<h2 class=\"tc-title\">\n<$view field=\"title\"/>\n</h2>\n</$list>\n</$link>\n</$set>\n</div>\n\n<$reveal type=\"nomatch\" text=\"\" default=\"\" state=<<tiddlerInfoState>> class=\"tc-tiddler-info tc-popup-handle\" animate=\"yes\" retain=\"yes\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TiddlerInfoSegment]!has[draft.of]] [[$:/core/ui/TiddlerInfo]]\" variable=\"listItem\"><$transclude tiddler=<<listItem>> mode=\"block\"/></$list>\n\n</$reveal>\n</div>"
},
"$:/core/ui/ViewTemplate/unfold": {
"title": "$:/core/ui/ViewTemplate/unfold",
"tags": "$:/tags/ViewTemplate",
"text": "<$reveal tag=\"div\" type=\"nomatch\" state=\"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-bar\" text=\"hide\">\n<$reveal tag=\"div\" type=\"nomatch\" stateTitle=<<folded-state>> text=\"hide\" default=\"show\" retain=\"yes\" animate=\"yes\">\n<$button tooltip={{$:/language/Buttons/Fold/Hint}} aria-label={{$:/language/Buttons/Fold/Caption}} class=\"tc-fold-banner\">\n<$action-sendmessage $message=\"tm-fold-tiddler\" $param=<<currentTiddler>> foldedState=<<folded-state>>/>\n{{$:/core/images/chevron-up}}\n</$button>\n</$reveal>\n<$reveal tag=\"div\" type=\"nomatch\" stateTitle=<<folded-state>> text=\"show\" default=\"show\" retain=\"yes\" animate=\"yes\">\n<$button tooltip={{$:/language/Buttons/Unfold/Hint}} aria-label={{$:/language/Buttons/Unfold/Caption}} class=\"tc-unfold-banner\">\n<$action-sendmessage $message=\"tm-fold-tiddler\" $param=<<currentTiddler>> foldedState=<<folded-state>>/>\n{{$:/core/images/chevron-down}}\n</$button>\n</$reveal>\n</$reveal>\n"
},
"$:/core/ui/ViewTemplate": {
"title": "$:/core/ui/ViewTemplate",
"text": "\\define folded-state()\n$:/state/folded/$(currentTiddler)$\n\\end\n\\import [all[shadows+tiddlers]tag[$:/tags/Macro/View]!has[draft.of]]\n<$vars storyTiddler=<<currentTiddler>> tiddlerInfoState=<<qualify \"$:/state/popup/tiddler-info\">>><div data-tiddler-title=<<currentTiddler>> data-tags={{!!tags}} class={{{ tc-tiddler-frame tc-tiddler-view-frame [<currentTiddler>is[tiddler]then[tc-tiddler-exists]] [<currentTiddler>is[missing]!is[shadow]then[tc-tiddler-missing]] [<currentTiddler>is[shadow]then[tc-tiddler-exists tc-tiddler-shadow]] [<currentTiddler>is[shadow]is[tiddler]then[tc-tiddler-overridden-shadow]] [<currentTiddler>is[system]then[tc-tiddler-system]] [{!!class}] [<currentTiddler>tags[]encodeuricomponent[]addprefix[tc-tagged-]] +[join[ ]] }}}><$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewTemplate]!has[draft.of]]\" variable=\"listItem\"><$transclude tiddler=<<listItem>>/></$list>\n</div>\n</$vars>\n"
},
"$:/core/ui/Buttons/clone": {
"title": "$:/core/ui/Buttons/clone",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/clone-button}} {{$:/language/Buttons/Clone/Caption}}",
"description": "{{$:/language/Buttons/Clone/Hint}}",
"text": "\\whitespace trim\n<$button message=\"tm-new-tiddler\" param=<<currentTiddler>> tooltip={{$:/language/Buttons/Clone/Hint}} aria-label={{$:/language/Buttons/Clone/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/clone-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Clone/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/close-others": {
"title": "$:/core/ui/Buttons/close-others",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/close-others-button}} {{$:/language/Buttons/CloseOthers/Caption}}",
"description": "{{$:/language/Buttons/CloseOthers/Hint}}",
"text": "\\whitespace trim\n<$button message=\"tm-close-other-tiddlers\" param=<<currentTiddler>> tooltip={{$:/language/Buttons/CloseOthers/Hint}} aria-label={{$:/language/Buttons/CloseOthers/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/close-others-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/CloseOthers/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/close": {
"title": "$:/core/ui/Buttons/close",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/close-button}} {{$:/language/Buttons/Close/Caption}}",
"description": "{{$:/language/Buttons/Close/Hint}}",
"text": "\\whitespace trim\n<$button message=\"tm-close-tiddler\" tooltip={{$:/language/Buttons/Close/Hint}} aria-label={{$:/language/Buttons/Close/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/close-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/Close/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/edit": {
"title": "$:/core/ui/Buttons/edit",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/edit-button}} {{$:/language/Buttons/Edit/Caption}}",
"description": "{{$:/language/Buttons/Edit/Hint}}",
"text": "\\whitespace trim\n<$button message=\"tm-edit-tiddler\" tooltip={{$:/language/Buttons/Edit/Hint}} aria-label={{$:/language/Buttons/Edit/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/edit-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Edit/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/export-tiddler": {
"title": "$:/core/ui/Buttons/export-tiddler",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/export-button}} {{$:/language/Buttons/ExportTiddler/Caption}}",
"description": "{{$:/language/Buttons/ExportTiddler/Hint}}",
"text": "\\define makeExportFilter()\n[[$(currentTiddler)$]]\n\\end\n<$macrocall $name=\"exportButton\" exportFilter=<<makeExportFilter>> lingoBase=\"$:/language/Buttons/ExportTiddler/\" baseFilename=<<currentTiddler>>/>"
},
"$:/core/ui/Buttons/fold-bar": {
"title": "$:/core/ui/Buttons/fold-bar",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/chevron-up}} {{$:/language/Buttons/Fold/FoldBar/Caption}}",
"description": "{{$:/language/Buttons/Fold/FoldBar/Hint}}",
"text": "<!-- This dummy toolbar button is here to allow visibility of the fold-bar to be controlled as if it were a toolbar button -->"
},
"$:/core/ui/Buttons/fold-others": {
"title": "$:/core/ui/Buttons/fold-others",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/fold-others-button}} {{$:/language/Buttons/FoldOthers/Caption}}",
"description": "{{$:/language/Buttons/FoldOthers/Hint}}",
"text": "\\whitespace trim\n<$button tooltip={{$:/language/Buttons/FoldOthers/Hint}} aria-label={{$:/language/Buttons/FoldOthers/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-fold-other-tiddlers\" $param=<<currentTiddler>> foldedStatePrefix=\"$:/state/folded/\"/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n{{$:/core/images/fold-others-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/FoldOthers/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/fold": {
"title": "$:/core/ui/Buttons/fold",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/fold-button}} {{$:/language/Buttons/Fold/Caption}}",
"description": "{{$:/language/Buttons/Fold/Hint}}",
"text": "\\whitespace trim\n<$reveal type=\"nomatch\" stateTitle=<<folded-state>> text=\"hide\" default=\"show\">\n<$button tooltip={{$:/language/Buttons/Fold/Hint}} aria-label={{$:/language/Buttons/Fold/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-fold-tiddler\" $param=<<currentTiddler>> foldedState=<<folded-state>>/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n{{$:/core/images/fold-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Fold/Caption}}/>\n</span>\n</$list>\n</$button>\n</$reveal>\n<$reveal type=\"match\" stateTitle=<<folded-state>> text=\"hide\" default=\"show\">\n<$button tooltip={{$:/language/Buttons/Unfold/Hint}} aria-label={{$:/language/Buttons/Unfold/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-fold-tiddler\" $param=<<currentTiddler>> foldedState=<<folded-state>>/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\" variable=\"listItem\">\n{{$:/core/images/unfold-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Unfold/Caption}}/>\n</span>\n</$list>\n</$button>\n</$reveal>\n"
},
"$:/core/ui/Buttons/info": {
"title": "$:/core/ui/Buttons/info",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/info-button}} {{$:/language/Buttons/Info/Caption}}",
"description": "{{$:/language/Buttons/Info/Hint}}",
"text": "\\whitespace trim\n\\define button-content()\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/info-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/Info/Caption}}/>\n</span>\n</$list>\n\\end\n<$reveal state=\"$:/config/TiddlerInfo/Mode\" type=\"match\" text=\"popup\">\n<$button popup=<<tiddlerInfoState>> tooltip={{$:/language/Buttons/Info/Hint}} aria-label={{$:/language/Buttons/Info/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$macrocall $name=\"button-content\" mode=\"inline\"/>\n</$button>\n</$reveal>\n<$reveal state=\"$:/config/TiddlerInfo/Mode\" type=\"match\" text=\"sticky\">\n<$reveal state=<<tiddlerInfoState>> type=\"match\" text=\"\" default=\"\">\n<$button set=<<tiddlerInfoState>> setTo=\"yes\" tooltip={{$:/language/Buttons/Info/Hint}} aria-label={{$:/language/Buttons/Info/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$macrocall $name=\"button-content\" mode=\"inline\"/>\n</$button>\n</$reveal>\n<$reveal state=<<tiddlerInfoState>> type=\"nomatch\" text=\"\" default=\"\">\n<$button set=<<tiddlerInfoState>> setTo=\"\" tooltip={{$:/language/Buttons/Info/Hint}} aria-label={{$:/language/Buttons/Info/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$macrocall $name=\"button-content\" mode=\"inline\"/>\n</$button>\n</$reveal>\n</$reveal>"
},
"$:/core/ui/Buttons/more-tiddler-actions": {
"title": "$:/core/ui/Buttons/more-tiddler-actions",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/down-arrow}} {{$:/language/Buttons/More/Caption}}",
"description": "{{$:/language/Buttons/More/Hint}}",
"text": "\\whitespace trim\n\\define config-title()\n$:/config/ViewToolbarButtons/Visibility/$(listItem)$\n\\end\n<$button popup=<<qualify \"$:/state/popup/more\">> tooltip={{$:/language/Buttons/More/Hint}} aria-label={{$:/language/Buttons/More/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/down-arrow}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/More/Caption}}/>\n</span>\n</$list>\n</$button>\n<$reveal state=<<qualify \"$:/state/popup/more\">> type=\"popup\" position=\"belowleft\" animate=\"yes\">\n\n<div class=\"tc-drop-down\">\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"tc-btn-invisible\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewToolbar]!has[draft.of]] -[[$:/core/ui/Buttons/more-tiddler-actions]]\" variable=\"listItem\">\n\n<$reveal type=\"match\" state=<<config-title>> text=\"hide\">\n\n<$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$set>\n\n</$reveal>\n\n</$list>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</div>\n\n</$reveal>"
},
"$:/core/ui/Buttons/new-here": {
"title": "$:/core/ui/Buttons/new-here",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/new-here-button}} {{$:/language/Buttons/NewHere/Caption}}",
"description": "{{$:/language/Buttons/NewHere/Hint}}",
"text": "\\whitespace trim\n\\define newHereActions()\n<$set name=\"tags\" filter=\"[<currentTiddler>] [{$:/config/NewTiddler/Tags!!tags}]\">\n<$action-sendmessage $message=\"tm-new-tiddler\" tags=<<tags>>/>\n</$set>\n\\end\n\\define newHereButton()\n<$button actions=<<newHereActions>> tooltip={{$:/language/Buttons/NewHere/Hint}} aria-label={{$:/language/Buttons/NewHere/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/new-here-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/NewHere/Caption}}/>\n</span>\n</$list>\n</$button>\n\\end\n<<newHereButton>>\n"
},
"$:/core/ui/Buttons/new-journal-here": {
"title": "$:/core/ui/Buttons/new-journal-here",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/new-journal-button}} {{$:/language/Buttons/NewJournalHere/Caption}}",
"description": "{{$:/language/Buttons/NewJournalHere/Hint}}",
"text": "\\whitespace trim\n\\define journalButtonTags()\n[[$(currentTiddlerTag)$]] $(journalTags)$\n\\end\n\\define journalButton()\n<$button tooltip={{$:/language/Buttons/NewJournalHere/Hint}} aria-label={{$:/language/Buttons/NewJournalHere/Caption}} class=<<tv-config-toolbar-class>>>\n<$wikify name=\"journalTitle\" text=\"\"\"<$macrocall $name=\"now\" format=<<journalTitleTemplate>>/>\"\"\">\n<$action-sendmessage $message=\"tm-new-tiddler\" title=<<journalTitle>> tags=<<journalButtonTags>>/>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/new-journal-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/NewJournalHere/Caption}}/>\n</span>\n</$list>\n</$wikify>\n</$button>\n\\end\n<$set name=\"journalTitleTemplate\" value={{$:/config/NewJournal/Title}}>\n<$set name=\"journalTags\" value={{$:/config/NewJournal/Tags!!tags}}>\n<$set name=\"currentTiddlerTag\" value=<<currentTiddler>>>\n<<journalButton>>\n</$set>\n</$set>\n</$set>\n"
},
"$:/core/ui/Buttons/open-window": {
"title": "$:/core/ui/Buttons/open-window",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/open-window}} {{$:/language/Buttons/OpenWindow/Caption}}",
"description": "{{$:/language/Buttons/OpenWindow/Hint}}",
"text": "\\whitespace trim\n<$button message=\"tm-open-window\" tooltip={{$:/language/Buttons/OpenWindow/Hint}} aria-label={{$:/language/Buttons/OpenWindow/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/open-window}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/OpenWindow/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/permalink": {
"title": "$:/core/ui/Buttons/permalink",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/permalink-button}} {{$:/language/Buttons/Permalink/Caption}}",
"description": "{{$:/language/Buttons/Permalink/Hint}}",
"text": "\\whitespace trim\n<$button message=\"tm-permalink\" tooltip={{$:/language/Buttons/Permalink/Hint}} aria-label={{$:/language/Buttons/Permalink/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/permalink-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Permalink/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/permaview": {
"title": "$:/core/ui/Buttons/permaview",
"tags": "$:/tags/ViewToolbar $:/tags/PageControls",
"caption": "{{$:/core/images/permaview-button}} {{$:/language/Buttons/Permaview/Caption}}",
"description": "{{$:/language/Buttons/Permaview/Hint}}",
"text": "\\whitespace trim\n<$button message=\"tm-permaview\" tooltip={{$:/language/Buttons/Permaview/Hint}} aria-label={{$:/language/Buttons/Permaview/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/permaview-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text=\" \"/>\n<$text text={{$:/language/Buttons/Permaview/Caption}}/>\n</span>\n</$list>\n</$button>"
},
"$:/DefaultTiddlers": {
"title": "$:/DefaultTiddlers",
"text": "GettingStarted\n"
},
"$:/temp/advancedsearch": {
"title": "$:/temp/advancedsearch",
"text": ""
},
"$:/snippets/allfields": {
"title": "$:/snippets/allfields",
"text": "\\define renderfield(title)\n<tr class=\"tc-view-field\"><td class=\"tc-view-field-name\">''$title$'':</td><td class=\"tc-view-field-value\">//{{$:/language/Docs/Fields/$title$}}//</td></tr>\n\\end\n<table class=\"tc-view-field-table\"><tbody><$list filter=\"[fields[]sort[title]]\" variable=\"listItem\"><$macrocall $name=\"renderfield\" title=<<listItem>>/></$list>\n</tbody></table>\n"
},
"$:/config/AnimationDuration": {
"title": "$:/config/AnimationDuration",
"text": "400"
},
"$:/config/AutoFocus": {
"title": "$:/config/AutoFocus",
"text": "title"
},
"$:/config/AutoSave": {
"title": "$:/config/AutoSave",
"text": "yes"
},
"$:/config/BitmapEditor/Colour": {
"title": "$:/config/BitmapEditor/Colour",
"text": "#444"
},
"$:/config/BitmapEditor/ImageSizes": {
"title": "$:/config/BitmapEditor/ImageSizes",
"text": "[[62px 100px]] [[100px 62px]] [[124px 200px]] [[200px 124px]] [[248px 400px]] [[371px 600px]] [[400px 248px]] [[556px 900px]] [[600px 371px]] [[742px 1200px]] [[900px 556px]] [[1200px 742px]]"
},
"$:/config/BitmapEditor/LineWidth": {
"title": "$:/config/BitmapEditor/LineWidth",
"text": "3px"
},
"$:/config/BitmapEditor/LineWidths": {
"title": "$:/config/BitmapEditor/LineWidths",
"text": "0.25px 0.5px 1px 2px 3px 4px 6px 8px 10px 16px 20px 28px 40px 56px 80px"
},
"$:/config/BitmapEditor/Opacities": {
"title": "$:/config/BitmapEditor/Opacities",
"text": "0.01 0.025 0.05 0.075 0.1 0.15 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0"
},
"$:/config/BitmapEditor/Opacity": {
"title": "$:/config/BitmapEditor/Opacity",
"text": "1.0"
},
"$:/config/DefaultMoreSidebarTab": {
"title": "$:/config/DefaultMoreSidebarTab",
"text": "$:/core/ui/MoreSideBar/Tags"
},
"$:/config/DefaultSidebarTab": {
"title": "$:/config/DefaultSidebarTab",
"text": "$:/core/ui/SideBar/Open"
},
"$:/config/DownloadSaver/AutoSave": {
"title": "$:/config/DownloadSaver/AutoSave",
"text": "no"
},
"$:/config/Drafts/TypingTimeout": {
"title": "$:/config/Drafts/TypingTimeout",
"text": "400"
},
"$:/config/EditTemplateFields/Visibility/title": {
"title": "$:/config/EditTemplateFields/Visibility/title",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/tags": {
"title": "$:/config/EditTemplateFields/Visibility/tags",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/text": {
"title": "$:/config/EditTemplateFields/Visibility/text",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/creator": {
"title": "$:/config/EditTemplateFields/Visibility/creator",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/created": {
"title": "$:/config/EditTemplateFields/Visibility/created",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/modified": {
"title": "$:/config/EditTemplateFields/Visibility/modified",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/modifier": {
"title": "$:/config/EditTemplateFields/Visibility/modifier",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/type": {
"title": "$:/config/EditTemplateFields/Visibility/type",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/draft.title": {
"title": "$:/config/EditTemplateFields/Visibility/draft.title",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/draft.of": {
"title": "$:/config/EditTemplateFields/Visibility/draft.of",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/revision": {
"title": "$:/config/EditTemplateFields/Visibility/revision",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/bag": {
"title": "$:/config/EditTemplateFields/Visibility/bag",
"text": "hide"
},
"$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-4": {
"title": "$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-4",
"text": "hide"
},
"$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-5": {
"title": "$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-5",
"text": "hide"
},
"$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-6": {
"title": "$:/config/EditorToolbarButtons/Visibility/$:/core/ui/EditorToolbar/heading-6",
"text": "hide"
},
"$:/config/EditorTypeMappings/image/gif": {
"title": "$:/config/EditorTypeMappings/image/gif",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/image/webp": {
"title": "$:/config/EditorTypeMappings/image/webp",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/image/heic": {
"title": "$:/config/EditorTypeMappings/image/heic",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/image/heif": {
"title": "$:/config/EditorTypeMappings/image/heif",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/image/jpeg": {
"title": "$:/config/EditorTypeMappings/image/jpeg",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/image/jpg": {
"title": "$:/config/EditorTypeMappings/image/jpg",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/image/png": {
"title": "$:/config/EditorTypeMappings/image/png",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/image/x-icon": {
"title": "$:/config/EditorTypeMappings/image/x-icon",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/text/vnd.tiddlywiki": {
"title": "$:/config/EditorTypeMappings/text/vnd.tiddlywiki",
"text": "text"
},
"$:/config/Manager/Show": {
"title": "$:/config/Manager/Show",
"text": "tiddlers"
},
"$:/config/Manager/Filter": {
"title": "$:/config/Manager/Filter",
"text": ""
},
"$:/config/Manager/Order": {
"title": "$:/config/Manager/Order",
"text": "forward"
},
"$:/config/Manager/Sort": {
"title": "$:/config/Manager/Sort",
"text": "title"
},
"$:/config/Manager/System": {
"title": "$:/config/Manager/System",
"text": "system"
},
"$:/config/Manager/Tag": {
"title": "$:/config/Manager/Tag",
"text": ""
},
"$:/state/popup/manager/item/$:/Manager/ItemMain/RawText": {
"title": "$:/state/popup/manager/item/$:/Manager/ItemMain/RawText",
"text": "hide"
},
"$:/config/MissingLinks": {
"title": "$:/config/MissingLinks",
"text": "yes"
},
"$:/config/Navigation/UpdateAddressBar": {
"title": "$:/config/Navigation/UpdateAddressBar",
"text": "no"
},
"$:/config/Navigation/UpdateHistory": {
"title": "$:/config/Navigation/UpdateHistory",
"text": "no"
},
"$:/config/NewImageType": {
"title": "$:/config/NewImageType",
"text": "jpeg"
},
"$:/config/OfficialPluginLibrary": {
"title": "$:/config/OfficialPluginLibrary",
"tags": "$:/tags/PluginLibrary",
"url": "https://tiddlywiki.com/library/v5.1.22/index.html",
"caption": "{{$:/language/OfficialPluginLibrary}}",
"text": "{{$:/language/OfficialPluginLibrary/Hint}}\n"
},
"$:/config/Navigation/openLinkFromInsideRiver": {
"title": "$:/config/Navigation/openLinkFromInsideRiver",
"text": "below"
},
"$:/config/Navigation/openLinkFromOutsideRiver": {
"title": "$:/config/Navigation/openLinkFromOutsideRiver",
"text": "top"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/advanced-search": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/advanced-search",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/close-all": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/close-all",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/encryption": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/encryption",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/export-page": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/export-page",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/fold-all": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/fold-all",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/full-screen": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/full-screen",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/home": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/home",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/refresh": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/refresh",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/import": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/import",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/language": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/language",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/tag-manager": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/tag-manager",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/manager": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/manager",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/more-page-actions": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/more-page-actions",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/new-journal": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/new-journal",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/new-image": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/new-image",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/palette": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/palette",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/permaview": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/permaview",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/print": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/print",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/storyview": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/storyview",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/timestamp": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/timestamp",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/theme": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/theme",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/unfold-all": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/unfold-all",
"text": "hide"
},
"$:/config/Performance/Instrumentation": {
"title": "$:/config/Performance/Instrumentation",
"text": "no"
},
"$:/config/RegisterPluginType/plugin": {
"title": "$:/config/RegisterPluginType/plugin",
"text": "yes"
},
"$:/config/RegisterPluginType/theme": {
"title": "$:/config/RegisterPluginType/theme",
"text": "no"
},
"$:/config/RegisterPluginType/language": {
"title": "$:/config/RegisterPluginType/language",
"text": "no"
},
"$:/config/RegisterPluginType/info": {
"title": "$:/config/RegisterPluginType/info",
"text": "no"
},
"$:/config/RegisterPluginType/import": {
"title": "$:/config/RegisterPluginType/import",
"text": "no"
},
"$:/config/SaveWikiButton/Template": {
"title": "$:/config/SaveWikiButton/Template",
"text": "$:/core/save/all"
},
"$:/config/SaverFilter": {
"title": "$:/config/SaverFilter",
"text": "[all[]] -[[$:/HistoryList]] -[[$:/StoryList]] -[[$:/Import]] -[[$:/isEncrypted]] -[[$:/UploadName]] -[prefix[$:/state/]] -[prefix[$:/temp/]]"
},
"$:/config/Search/AutoFocus": {
"title": "$:/config/Search/AutoFocus",
"text": "true"
},
"$:/config/Search/MinLength": {
"title": "$:/config/Search/MinLength",
"text": "3"
},
"$:/config/SearchResults/Default": {
"title": "$:/config/SearchResults/Default",
"text": "$:/core/ui/DefaultSearchResultList"
},
"$:/config/Server/ExternalFilters/[all[tiddlers]!is[system]sort[title]]": {
"title": "$:/config/Server/ExternalFilters/[all[tiddlers]!is[system]sort[title]]",
"text": "yes"
},
"$:/config/ShortcutInfo/add-field": {
"title": "$:/config/ShortcutInfo/add-field",
"text": "{{$:/language/EditTemplate/Fields/Add/Button/Hint}}"
},
"$:/config/ShortcutInfo/advanced-search": {
"title": "$:/config/ShortcutInfo/advanced-search",
"text": "{{$:/language/Buttons/AdvancedSearch/Hint}}"
},
"$:/config/ShortcutInfo/bold": {
"title": "$:/config/ShortcutInfo/bold",
"text": "{{$:/language/Buttons/Bold/Hint}}"
},
"$:/config/ShortcutInfo/cancel-edit-tiddler": {
"title": "$:/config/ShortcutInfo/cancel-edit-tiddler",
"text": "{{$:/language/Buttons/Cancel/Hint}}"
},
"$:/config/ShortcutInfo/excise": {
"title": "$:/config/ShortcutInfo/excise",
"text": "{{$:/language/Buttons/Excise/Hint}}"
},
"$:/config/ShortcutInfo/heading-1": {
"title": "$:/config/ShortcutInfo/heading-1",
"text": "{{$:/language/Buttons/Heading1/Hint}}"
},
"$:/config/ShortcutInfo/heading-2": {
"title": "$:/config/ShortcutInfo/heading-2",
"text": "{{$:/language/Buttons/Heading2/Hint}}"
},
"$:/config/ShortcutInfo/heading-3": {
"title": "$:/config/ShortcutInfo/heading-3",
"text": "{{$:/language/Buttons/Heading3/Hint}}"
},
"$:/config/ShortcutInfo/heading-4": {
"title": "$:/config/ShortcutInfo/heading-4",
"text": "{{$:/language/Buttons/Heading4/Hint}}"
},
"$:/config/ShortcutInfo/heading-5": {
"title": "$:/config/ShortcutInfo/heading-5",
"text": "{{$:/language/Buttons/Heading5/Hint}}"
},
"$:/config/ShortcutInfo/heading-6": {
"title": "$:/config/ShortcutInfo/heading-6",
"text": "{{$:/language/Buttons/Heading6/Hint}}"
},
"$:/config/ShortcutInfo/italic": {
"title": "$:/config/ShortcutInfo/italic",
"text": "{{$:/language/Buttons/Italic/Hint}}"
},
"$:/config/ShortcutInfo/link": {
"title": "$:/config/ShortcutInfo/link",
"text": "{{$:/language/Buttons/Link/Hint}}"
},
"$:/config/ShortcutInfo/list-bullet": {
"title": "$:/config/ShortcutInfo/list-bullet",
"text": "{{$:/language/Buttons/ListBullet/Hint}}"
},
"$:/config/ShortcutInfo/list-number": {
"title": "$:/config/ShortcutInfo/list-number",
"text": "{{$:/language/Buttons/ListNumber/Hint}}"
},
"$:/config/ShortcutInfo/mono-block": {
"title": "$:/config/ShortcutInfo/mono-block",
"text": "{{$:/language/Buttons/MonoBlock/Hint}}"
},
"$:/config/ShortcutInfo/mono-line": {
"title": "$:/config/ShortcutInfo/mono-line",
"text": "{{$:/language/Buttons/MonoLine/Hint}}"
},
"$:/config/ShortcutInfo/new-image": {
"title": "$:/config/ShortcutInfo/new-image",
"text": "{{$:/language/Buttons/NewImage/Hint}}"
},
"$:/config/ShortcutInfo/new-journal": {
"title": "$:/config/ShortcutInfo/new-journal",
"text": "{{$:/language/Buttons/NewJournal/Hint}}"
},
"$:/config/ShortcutInfo/new-tiddler": {
"title": "$:/config/ShortcutInfo/new-tiddler",
"text": "{{$:/language/Buttons/NewTiddler/Hint}}"
},
"$:/config/ShortcutInfo/picture": {
"title": "$:/config/ShortcutInfo/picture",
"text": "{{$:/language/Buttons/Picture/Hint}}"
},
"$:/config/ShortcutInfo/preview": {
"title": "$:/config/ShortcutInfo/preview",
"text": "{{$:/language/Buttons/Preview/Hint}}"
},
"$:/config/ShortcutInfo/quote": {
"title": "$:/config/ShortcutInfo/quote",
"text": "{{$:/language/Buttons/Quote/Hint}}"
},
"$:/config/ShortcutInfo/save-tiddler": {
"title": "$:/config/ShortcutInfo/save-tiddler",
"text": "{{$:/language/Buttons/Save/Hint}}"
},
"$:/config/ShortcutInfo/sidebar-search": {
"title": "$:/config/ShortcutInfo/sidebar-search",
"text": "{{$:/language/Buttons/SidebarSearch/Hint}}"
},
"$:/config/ShortcutInfo/stamp": {
"title": "$:/config/ShortcutInfo/stamp",
"text": "{{$:/language/Buttons/Stamp/Hint}}"
},
"$:/config/ShortcutInfo/strikethrough": {
"title": "$:/config/ShortcutInfo/strikethrough",
"text": "{{$:/language/Buttons/Strikethrough/Hint}}"
},
"$:/config/ShortcutInfo/subscript": {
"title": "$:/config/ShortcutInfo/subscript",
"text": "{{$:/language/Buttons/Subscript/Hint}}"
},
"$:/config/ShortcutInfo/superscript": {
"title": "$:/config/ShortcutInfo/superscript",
"text": "{{$:/language/Buttons/Superscript/Hint}}"
},
"$:/config/ShortcutInfo/toggle-sidebar": {
"title": "$:/config/ShortcutInfo/toggle-sidebar",
"text": "{{$:/language/Buttons/ToggleSidebar/Hint}}"
},
"$:/config/ShortcutInfo/underline": {
"title": "$:/config/ShortcutInfo/underline",
"text": "{{$:/language/Buttons/Underline/Hint}}"
},
"$:/config/SyncFilter": {
"title": "$:/config/SyncFilter",
"text": "[is[tiddler]] -[[$:/HistoryList]] -[[$:/Import]] -[[$:/isEncrypted]] -[prefix[$:/status/]] -[prefix[$:/state/]] -[prefix[$:/temp/]]"
},
"$:/config/Tags/MinLength": {
"title": "$:/config/Tags/MinLength",
"text": "0"
},
"$:/config/TextEditor/EditorHeight/Height": {
"title": "$:/config/TextEditor/EditorHeight/Height",
"text": "400px"
},
"$:/config/TextEditor/EditorHeight/Mode": {
"title": "$:/config/TextEditor/EditorHeight/Mode",
"text": "auto"
},
"$:/config/TiddlerInfo/Default": {
"title": "$:/config/TiddlerInfo/Default",
"text": "$:/core/ui/TiddlerInfo/Fields"
},
"$:/config/TiddlerInfo/Mode": {
"title": "$:/config/TiddlerInfo/Mode",
"text": "popup"
},
"$:/config/Tiddlers/TitleLinks": {
"title": "$:/config/Tiddlers/TitleLinks",
"text": "no"
},
"$:/config/Toolbar/ButtonClass": {
"title": "$:/config/Toolbar/ButtonClass",
"text": "tc-btn-invisible"
},
"$:/config/Toolbar/Icons": {
"title": "$:/config/Toolbar/Icons",
"text": "yes"
},
"$:/config/Toolbar/Text": {
"title": "$:/config/Toolbar/Text",
"text": "no"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/clone": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/clone",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/close-others": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/close-others",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/export-tiddler": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/export-tiddler",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/info": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/info",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/more-tiddler-actions": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/more-tiddler-actions",
"text": "show"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/new-here": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/new-here",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/new-journal-here": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/new-journal-here",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/open-window": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/open-window",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/permalink": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/permalink",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/permaview": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/permaview",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/delete": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/delete",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-bar": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-bar",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-others": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-others",
"text": "hide"
},
"$:/config/shortcuts-mac/bold": {
"title": "$:/config/shortcuts-mac/bold",
"text": "meta-B"
},
"$:/config/shortcuts-mac/italic": {
"title": "$:/config/shortcuts-mac/italic",
"text": "meta-I"
},
"$:/config/shortcuts-mac/underline": {
"title": "$:/config/shortcuts-mac/underline",
"text": "meta-U"
},
"$:/config/shortcuts-mac/new-image": {
"title": "$:/config/shortcuts-mac/new-image",
"text": "ctrl-I"
},
"$:/config/shortcuts-mac/new-journal": {
"title": "$:/config/shortcuts-mac/new-journal",
"text": "ctrl-J"
},
"$:/config/shortcuts-mac/new-tiddler": {
"title": "$:/config/shortcuts-mac/new-tiddler",
"text": "ctrl-N"
},
"$:/config/shortcuts-not-mac/bold": {
"title": "$:/config/shortcuts-not-mac/bold",
"text": "ctrl-B"
},
"$:/config/shortcuts-not-mac/italic": {
"title": "$:/config/shortcuts-not-mac/italic",
"text": "ctrl-I"
},
"$:/config/shortcuts-not-mac/underline": {
"title": "$:/config/shortcuts-not-mac/underline",
"text": "ctrl-U"
},
"$:/config/shortcuts-not-mac/new-image": {
"title": "$:/config/shortcuts-not-mac/new-image",
"text": "alt-I"
},
"$:/config/shortcuts-not-mac/new-journal": {
"title": "$:/config/shortcuts-not-mac/new-journal",
"text": "alt-J"
},
"$:/config/shortcuts-not-mac/new-tiddler": {
"title": "$:/config/shortcuts-not-mac/new-tiddler",
"text": "alt-N"
},
"$:/config/shortcuts/add-field": {
"title": "$:/config/shortcuts/add-field",
"text": "enter"
},
"$:/config/shortcuts/advanced-search": {
"title": "$:/config/shortcuts/advanced-search",
"text": "ctrl-shift-A"
},
"$:/config/shortcuts/cancel-edit-tiddler": {
"title": "$:/config/shortcuts/cancel-edit-tiddler",
"text": "escape"
},
"$:/config/shortcuts/excise": {
"title": "$:/config/shortcuts/excise",
"text": "ctrl-E"
},
"$:/config/shortcuts/sidebar-search": {
"title": "$:/config/shortcuts/sidebar-search",
"text": "ctrl-shift-F"
},
"$:/config/shortcuts/heading-1": {
"title": "$:/config/shortcuts/heading-1",
"text": "ctrl-1"
},
"$:/config/shortcuts/heading-2": {
"title": "$:/config/shortcuts/heading-2",
"text": "ctrl-2"
},
"$:/config/shortcuts/heading-3": {
"title": "$:/config/shortcuts/heading-3",
"text": "ctrl-3"
},
"$:/config/shortcuts/heading-4": {
"title": "$:/config/shortcuts/heading-4",
"text": "ctrl-4"
},
"$:/config/shortcuts/heading-5": {
"title": "$:/config/shortcuts/heading-5",
"text": "ctrl-5"
},
"$:/config/shortcuts/heading-6": {
"title": "$:/config/shortcuts/heading-6",
"text": "ctrl-6"
},
"$:/config/shortcuts/link": {
"title": "$:/config/shortcuts/link",
"text": "ctrl-L"
},
"$:/config/shortcuts/linkify": {
"title": "$:/config/shortcuts/linkify",
"text": "alt-shift-L"
},
"$:/config/shortcuts/list-bullet": {
"title": "$:/config/shortcuts/list-bullet",
"text": "ctrl-shift-L"
},
"$:/config/shortcuts/list-number": {
"title": "$:/config/shortcuts/list-number",
"text": "ctrl-shift-N"
},
"$:/config/shortcuts/mono-block": {
"title": "$:/config/shortcuts/mono-block",
"text": "ctrl-shift-M"
},
"$:/config/shortcuts/mono-line": {
"title": "$:/config/shortcuts/mono-line",
"text": "ctrl-M"
},
"$:/config/shortcuts/picture": {
"title": "$:/config/shortcuts/picture",
"text": "ctrl-shift-I"
},
"$:/config/shortcuts/preview": {
"title": "$:/config/shortcuts/preview",
"text": "alt-P"
},
"$:/config/shortcuts/quote": {
"title": "$:/config/shortcuts/quote",
"text": "ctrl-Q"
},
"$:/config/shortcuts/save-tiddler": {
"title": "$:/config/shortcuts/save-tiddler",
"text": "ctrl+enter"
},
"$:/config/shortcuts/stamp": {
"title": "$:/config/shortcuts/stamp",
"text": "ctrl-S"
},
"$:/config/shortcuts/strikethrough": {
"title": "$:/config/shortcuts/strikethrough",
"text": "ctrl-T"
},
"$:/config/shortcuts/subscript": {
"title": "$:/config/shortcuts/subscript",
"text": "ctrl-shift-B"
},
"$:/config/shortcuts/superscript": {
"title": "$:/config/shortcuts/superscript",
"text": "ctrl-shift-P"
},
"$:/config/shortcuts/toggle-sidebar": {
"title": "$:/config/shortcuts/toggle-sidebar",
"text": "alt-shift-S"
},
"$:/config/shortcuts/transcludify": {
"title": "$:/config/shortcuts/transcludify",
"text": "alt-shift-T"
},
"$:/config/ui/EditTemplate": {
"title": "$:/config/ui/EditTemplate",
"text": "$:/core/ui/EditTemplate"
},
"$:/config/ui/ViewTemplate": {
"title": "$:/config/ui/ViewTemplate",
"text": "$:/core/ui/ViewTemplate"
},
"$:/config/WikiParserRules/Inline/wikilink": {
"title": "$:/config/WikiParserRules/Inline/wikilink",
"text": "enable"
},
"$:/snippets/currpalettepreview": {
"title": "$:/snippets/currpalettepreview",
"text": "\\define swatchStyle()\nbackground-color: $(swatchColour)$;\n\\end\n\\define swatch()\n<$set name=\"swatchColour\" value={{##$(colour)$}}\n><div class=\"tc-swatch\" style=<<swatchStyle>> title=<<colour>>/></$set>\n\\end\n<div class=\"tc-swatches-horiz\"><$list filter=\"\nforeground\nbackground\nmuted-foreground\nprimary\npage-background\ntab-background\ntiddler-info-background\n\" variable=\"colour\"><<swatch>></$list></div>"
},
"$:/snippets/download-wiki-button": {
"title": "$:/snippets/download-wiki-button",
"text": "\\define lingo-base() $:/language/ControlPanel/Tools/Download/\n<$button class=\"tc-btn-big-green\">\n<$action-sendmessage $message=\"tm-download-file\" $param=\"$:/core/save/all\" filename=\"index.html\"/>\n<<lingo Full/Caption>> {{$:/core/images/save-button}}\n</$button>"
},
"$:/language": {
"title": "$:/language",
"text": "$:/languages/en-GB"
},
"$:/snippets/languageswitcher": {
"title": "$:/snippets/languageswitcher",
"text": "\\define flag-title()\n$(languagePluginTitle)$/icon\n\\end\n\n<$linkcatcher to=\"$:/language\">\n<div class=\"tc-chooser tc-language-chooser\">\n<$list filter=\"[[$:/languages/en-GB]] [plugin-type[language]sort[description]]\">\n<$set name=\"cls\" filter=\"[all[current]field:title{$:/language}]\" value=\"tc-chooser-item tc-chosen\" emptyValue=\"tc-chooser-item\"><div class=<<cls>>>\n<$link>\n<span class=\"tc-image-button\">\n<$set name=\"languagePluginTitle\" value=<<currentTiddler>>>\n<$transclude subtiddler=<<flag-title>>>\n<$list filter=\"[all[current]field:title[$:/languages/en-GB]]\">\n<$transclude tiddler=\"$:/languages/en-GB/icon\"/>\n</$list>\n</$transclude>\n</$set>\n</span>\n<$view field=\"description\">\n<$view field=\"name\">\n<$view field=\"title\"/>\n</$view>\n</$view>\n</$link>\n</div>\n</$set>\n</$list>\n</div>\n</$linkcatcher>"
},
"$:/core/macros/CSS": {
"title": "$:/core/macros/CSS",
"tags": "$:/tags/Macro",
"text": "\\define colour(name)\n<$transclude tiddler={{$:/palette}} index=\"$name$\"><$transclude tiddler=\"$:/palettes/Vanilla\" index=\"$name$\"><$transclude tiddler=\"$:/config/DefaultColourMappings/$name$\"/></$transclude></$transclude>\n\\end\n\n\\define color(name)\n<<colour $name$>>\n\\end\n\n\\define box-shadow(shadow)\n``\n -webkit-box-shadow: $shadow$;\n -moz-box-shadow: $shadow$;\n box-shadow: $shadow$;\n``\n\\end\n\n\\define filter(filter)\n``\n -webkit-filter: $filter$;\n -moz-filter: $filter$;\n filter: $filter$;\n``\n\\end\n\n\\define transition(transition)\n``\n -webkit-transition: $transition$;\n -moz-transition: $transition$;\n transition: $transition$;\n``\n\\end\n\n\\define transform-origin(origin)\n``\n -webkit-transform-origin: $origin$;\n -moz-transform-origin: $origin$;\n transform-origin: $origin$;\n``\n\\end\n\n\\define background-linear-gradient(gradient)\n``\nbackground-image: linear-gradient($gradient$);\nbackground-image: -o-linear-gradient($gradient$);\nbackground-image: -moz-linear-gradient($gradient$);\nbackground-image: -webkit-linear-gradient($gradient$);\nbackground-image: -ms-linear-gradient($gradient$);\n``\n\\end\n\n\\define column-count(columns)\n``\n-moz-column-count: $columns$;\n-webkit-column-count: $columns$;\ncolumn-count: $columns$;\n``\n\\end\n\n\\define datauri(title)\n<$macrocall $name=\"makedatauri\" type={{$title$!!type}} text={{$title$}} _canonical_uri={{$title$!!_canonical_uri}}/>\n\\end\n\n\\define if-sidebar(text)\n<$reveal state=\"$:/state/sidebar\" type=\"match\" text=\"yes\" default=\"yes\">$text$</$reveal>\n\\end\n\n\\define if-no-sidebar(text)\n<$reveal state=\"$:/state/sidebar\" type=\"nomatch\" text=\"yes\" default=\"yes\">$text$</$reveal>\n\\end\n\n\\define if-background-attachment(text)\n<$reveal state=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimage\" type=\"nomatch\" text=\"\">$text$</$reveal>\n\\end\n"
},
"$:/core/macros/colour-picker": {
"title": "$:/core/macros/colour-picker",
"tags": "$:/tags/Macro",
"text": "\\define colour-picker-update-recent()\n<$action-listops\n\t$tiddler=\"$:/config/ColourPicker/Recent\"\n\t$subfilter=\"$(colour-picker-value)$ [list[$:/config/ColourPicker/Recent]remove[$(colour-picker-value)$]] +[limit[8]]\"\n/>\n\\end\n\n\\define colour-picker-inner(actions)\n<$button tag=\"a\" tooltip=\"\"\"$(colour-picker-value)$\"\"\">\n\n$(colour-picker-update-recent)$\n\n$actions$\n\n<span style=\"display:inline-block; background-color: $(colour-picker-value)$; width: 100%; height: 100%; border-radius: 50%;\"/>\n\n</$button>\n\\end\n\n\\define colour-picker-recent-inner(actions)\n<$set name=\"colour-picker-value\" value=\"$(recentColour)$\">\n<$macrocall $name=\"colour-picker-inner\" actions=\"\"\"$actions$\"\"\"/>\n</$set>\n\\end\n\n\\define colour-picker-recent(actions)\n{{$:/language/ColourPicker/Recent}} <$list filter=\"[list[$:/config/ColourPicker/Recent]]\" variable=\"recentColour\">\n<$macrocall $name=\"colour-picker-recent-inner\" actions=\"\"\"$actions$\"\"\"/></$list>\n\\end\n\n\\define colour-picker(actions)\n<div class=\"tc-colour-chooser\">\n\n<$macrocall $name=\"colour-picker-recent\" actions=\"\"\"$actions$\"\"\"/>\n\n---\n\n<$list filter=\"LightPink Pink Crimson LavenderBlush PaleVioletRed HotPink DeepPink MediumVioletRed Orchid Thistle Plum Violet Magenta Fuchsia DarkMagenta Purple MediumOrchid DarkViolet DarkOrchid Indigo BlueViolet MediumPurple MediumSlateBlue SlateBlue DarkSlateBlue Lavender GhostWhite Blue MediumBlue MidnightBlue DarkBlue Navy RoyalBlue CornflowerBlue LightSteelBlue LightSlateGrey SlateGrey DodgerBlue AliceBlue SteelBlue LightSkyBlue SkyBlue DeepSkyBlue LightBlue PowderBlue CadetBlue Azure LightCyan PaleTurquoise Cyan Aqua DarkTurquoise DarkSlateGrey DarkCyan Teal MediumTurquoise LightSeaGreen Turquoise Aquamarine MediumAquamarine MediumSpringGreen MintCream SpringGreen MediumSeaGreen SeaGreen Honeydew LightGreen PaleGreen DarkSeaGreen LimeGreen Lime ForestGreen Green DarkGreen Chartreuse LawnGreen GreenYellow DarkOliveGreen YellowGreen OliveDrab Beige LightGoldenrodYellow Ivory LightYellow Yellow Olive DarkKhaki LemonChiffon PaleGoldenrod Khaki Gold Cornsilk Goldenrod DarkGoldenrod FloralWhite OldLace Wheat Moccasin Orange PapayaWhip BlanchedAlmond NavajoWhite AntiqueWhite Tan BurlyWood Bisque DarkOrange Linen Peru PeachPuff SandyBrown Chocolate SaddleBrown Seashell Sienna LightSalmon Coral OrangeRed DarkSalmon Tomato MistyRose Salmon Snow LightCoral RosyBrown IndianRed Red Brown FireBrick DarkRed Maroon White WhiteSmoke Gainsboro LightGrey Silver DarkGrey Grey DimGrey Black\" variable=\"colour-picker-value\">\n<$macrocall $name=\"colour-picker-inner\" actions=\"\"\"$actions$\"\"\"/>\n</$list>\n\n---\n\n<$edit-text tiddler=\"$:/config/ColourPicker/New\" tag=\"input\" default=\"\" placeholder=\"\"/>\n<$edit-text tiddler=\"$:/config/ColourPicker/New\" type=\"color\" tag=\"input\"/>\n<$set name=\"colour-picker-value\" value={{$:/config/ColourPicker/New}}>\n<$macrocall $name=\"colour-picker-inner\" actions=\"\"\"$actions$\"\"\"/>\n</$set>\n\n</div>\n\n\\end\n"
},
"$:/core/macros/copy-to-clipboard": {
"title": "$:/core/macros/copy-to-clipboard",
"tags": "$:/tags/Macro",
"text": "\\define copy-to-clipboard(src,class:\"tc-btn-invisible\",style)\n<$button class=<<__class__>> style=<<__style__>> message=\"tm-copy-to-clipboard\" param=<<__src__>> tooltip={{$:/language/Buttons/CopyToClipboard/Hint}}>\n{{$:/core/images/copy-clipboard}} <$text text={{$:/language/Buttons/CopyToClipboard/Caption}}/>\n</$button>\n\\end\n\n\\define copy-to-clipboard-above-right(src,class:\"tc-btn-invisible\",style)\n<div style=\"position: relative;\">\n<div style=\"position: absolute; bottom: 0; right: 0;\">\n<$macrocall $name=\"copy-to-clipboard\" src=<<__src__>> class=<<__class__>> style=<<__style__>>/>\n</div>\n</div>\n\\end\n\n"
},
"$:/core/macros/diff": {
"title": "$:/core/macros/diff",
"tags": "$:/tags/Macro",
"text": "\\define compareTiddlerText(sourceTiddlerTitle,sourceSubTiddlerTitle,destTiddlerTitle,destSubTiddlerTitle)\n<$set name=\"source\" tiddler=<<__sourceTiddlerTitle__>> subtiddler=<<__sourceSubTiddlerTitle__>>>\n<$set name=\"dest\" tiddler=<<__destTiddlerTitle__>> subtiddler=<<__destSubTiddlerTitle__>>>\n<$diff-text source=<<source>> dest=<<dest>>/>\n</$set>\n</$set>\n\\end\n\n\\define compareTiddlers(sourceTiddlerTitle,sourceSubTiddlerTitle,destTiddlerTitle,destSubTiddlerTitle,exclude)\n<table class=\"tc-diff-tiddlers\">\n<tbody>\n<$set name=\"sourceFields\" filter=\"[<__sourceTiddlerTitle__>fields[]sort[]]\">\n<$set name=\"destFields\" filter=\"[<__destSubTiddlerTitle__>subtiddlerfields<__destTiddlerTitle__>sort[]]\">\n<$list filter=\"[enlist<sourceFields>] [enlist<destFields>] -[enlist<__exclude__>] +[sort[]]\" variable=\"fieldName\">\n<tr>\n<th>\n<$text text=<<fieldName>>/> \n</th>\n<td>\n<$set name=\"source\" tiddler=<<__sourceTiddlerTitle__>> subtiddler=<<__sourceSubTiddlerTitle__>> field=<<fieldName>>>\n<$set name=\"dest\" tiddler=<<__destTiddlerTitle__>> subtiddler=<<__destSubTiddlerTitle__>> field=<<fieldName>>>\n<$diff-text source=<<source>> dest=<<dest>>>\n</$diff-text>\n</$set>\n</$set>\n</td>\n</tr>\n</$list>\n</$set>\n</$set>\n</tbody>\n</table>\n\\end\n"
},
"$:/core/macros/dumpvariables": {
"title": "$:/core/macros/dumpvariables",
"tags": "$:/tags/Macro",
"text": "\\define dumpvariables()\n<ul>\n<$list filter=\"[variables[]]\" variable=\"varname\">\n<li>\n<strong><code><$text text=<<varname>>/></code></strong>:<br/>\n<$codeblock code={{{ [<varname>getvariable[]] }}}/>\n</li>\n</$list>\n</ul>\n\\end\n"
},
"$:/core/macros/export": {
"title": "$:/core/macros/export",
"tags": "$:/tags/Macro",
"text": "\\define exportButtonFilename(baseFilename)\n$baseFilename$$(extension)$\n\\end\n\n\\define exportButton(exportFilter:\"[!is[system]sort[title]]\",lingoBase,baseFilename:\"tiddlers\")\n<span class=\"tc-popup-keep\"><$button popup=<<qualify \"$:/state/popup/export\">> tooltip={{$lingoBase$Hint}} aria-label={{$lingoBase$Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>match[yes]]\">\n{{$:/core/images/export-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>match[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$lingoBase$Caption}}/></span>\n</$list>\n</$button></span><$reveal state=<<qualify \"$:/state/popup/export\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Exporter]]\">\n<$set name=\"extension\" value={{!!extension}}>\n<$button class=\"tc-btn-invisible\">\n<$action-sendmessage $message=\"tm-download-file\" $param=<<currentTiddler>> exportFilter=\"\"\"$exportFilter$\"\"\" filename=<<exportButtonFilename \"\"\"$baseFilename$\"\"\">>/>\n<$action-deletetiddler $tiddler=<<qualify \"$:/state/popup/export\">>/>\n<$transclude field=\"description\"/>\n</$button>\n</$set>\n</$list>\n</div>\n</$reveal>\n\\end\n"
},
"$:/core/macros/image-picker": {
"title": "$:/core/macros/image-picker",
"created": "20170715180840889",
"modified": "20170715180914005",
"tags": "$:/tags/Macro",
"type": "text/vnd.tiddlywiki",
"text": "\\define image-picker-thumbnail(actions)\n<$button tag=\"a\" tooltip=\"\"\"$(imageTitle)$\"\"\">\n$actions$\n<$transclude tiddler=<<imageTitle>>/>\n</$button>\n\\end\n\n\\define image-picker-list(filter,actions)\n<$list filter=\"\"\"$filter$\"\"\" variable=\"imageTitle\">\n<$macrocall $name=\"image-picker-thumbnail\" actions=\"\"\"$actions$\"\"\"/>\n</$list>\n\\end\n\n\\define image-picker(actions,filter:\"[all[shadows+tiddlers]is[image]] -[type[application/pdf]] +[!has[draft.of]$subfilter$sort[title]]\",subfilter:\"\")\n<div class=\"tc-image-chooser\">\n<$vars state-system=<<qualify \"$:/state/image-picker/system\">>>\n<$checkbox tiddler=<<state-system>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"hide\">\n{{$:/language/SystemTiddlers/Include/Prompt}}\n</$checkbox>\n<$reveal state=<<state-system>> type=\"match\" text=\"hide\" default=\"hide\" tag=\"div\">\n<$macrocall $name=\"image-picker-list\" filter=\"\"\"$filter$ +[!is[system]]\"\"\" actions=\"\"\"$actions$\"\"\"/>\n</$reveal>\n<$reveal state=<<state-system>> type=\"nomatch\" text=\"hide\" default=\"hide\" tag=\"div\">\n<$macrocall $name=\"image-picker-list\" filter=\"\"\"$filter$\"\"\" actions=\"\"\"$actions$\"\"\"/>\n</$reveal>\n</$vars>\n</div>\n\\end\n\n\\define image-picker-include-tagged-images(actions)\n<$macrocall $name=\"image-picker\" filter=\"[all[shadows+tiddlers]is[image]] [all[shadows+tiddlers]tag[$:/tags/Image]] -[type[application/pdf]] +[!has[draft.of]sort[title]]\" actions=\"\"\"$actions$\"\"\"/>\n\\end\n"
},
"$:/core/macros/lingo": {
"title": "$:/core/macros/lingo",
"tags": "$:/tags/Macro",
"text": "\\define lingo-base()\n$:/language/\n\\end\n\n\\define lingo(title)\n{{$(lingo-base)$$title$}}\n\\end\n"
},
"$:/core/macros/list": {
"title": "$:/core/macros/list",
"tags": "$:/tags/Macro",
"text": "\\define list-links(filter,type:\"ul\",subtype:\"li\",class:\"\",emptyMessage)\n\\whitespace trim\n<$type$ class=\"$class$\">\n<$list filter=\"$filter$\" emptyMessage=<<__emptyMessage__>>>\n<$subtype$>\n<$link to={{!!title}}>\n<$transclude field=\"caption\">\n<$view field=\"title\"/>\n</$transclude>\n</$link>\n</$subtype$>\n</$list>\n</$type$>\n\\end\n\n\\define list-links-draggable-drop-actions()\n<$action-listops $tiddler=<<targetTiddler>> $field=<<targetField>> $subfilter=\"+[insertbefore:currentTiddler<actionTiddler>]\"/>\n\\end\n\n\\define list-links-draggable(tiddler,field:\"list\",type:\"ul\",subtype:\"li\",class:\"\",itemTemplate)\n\\whitespace trim\n<span class=\"tc-links-draggable-list\">\n<$vars targetTiddler=\"\"\"$tiddler$\"\"\" targetField=\"\"\"$field$\"\"\">\n<$type$ class=\"$class$\">\n<$list filter=\"[list[$tiddler$!!$field$]]\">\n<$droppable actions=<<list-links-draggable-drop-actions>> tag=\"\"\"$subtype$\"\"\" enable=<<tv-enable-drag-and-drop>>>\n<div class=\"tc-droppable-placeholder\"/>\n<div>\n<$transclude tiddler=\"\"\"$itemTemplate$\"\"\">\n<$link to={{!!title}}>\n<$transclude field=\"caption\">\n<$view field=\"title\"/>\n</$transclude>\n</$link>\n</$transclude>\n</div>\n</$droppable>\n</$list>\n</$type$>\n<$tiddler tiddler=\"\">\n<$droppable actions=<<list-links-draggable-drop-actions>> tag=\"div\" enable=<<tv-enable-drag-and-drop>>>\n<div class=\"tc-droppable-placeholder\">\n \n</div>\n<div style=\"height:0.5em;\"/>\n</$droppable>\n</$tiddler>\n</$vars>\n</span>\n\\end\n\n\\define list-tagged-draggable-drop-actions(tag)\n<!-- Save the current ordering of the tiddlers with this tag -->\n<$set name=\"order\" filter=\"[<__tag__>tagging[]]\">\n<!-- Remove any list-after or list-before fields from the tiddlers with this tag -->\n<$list filter=\"[<__tag__>tagging[]]\">\n<$action-deletefield $field=\"list-before\"/>\n<$action-deletefield $field=\"list-after\"/>\n</$list>\n<!-- Save the new order to the Tag Tiddler -->\n<$action-listops $tiddler=<<__tag__>> $field=\"list\" $filter=\"+[enlist<order>] +[insertbefore:currentTiddler<actionTiddler>]\"/>\n<!-- Make sure the newly added item has the right tag -->\n<!-- Removing this line makes dragging tags within the dropdown work as intended -->\n<!--<$action-listops $tiddler=<<actionTiddler>> $tags=<<__tag__>>/>-->\n<!-- Using the following 5 lines as replacement makes dragging titles from outside into the dropdown apply the tag -->\n<$list filter=\"[<actionTiddler>!contains:tags<__tag__>]\">\n<$fieldmangler tiddler=<<actionTiddler>>>\n<$action-sendmessage $message=\"tm-add-tag\" $param=<<__tag__>>/>\n</$fieldmangler>\n</$list>\n</$set>\n\\end\n\n\\define list-tagged-draggable(tag,subFilter,emptyMessage,itemTemplate,elementTag:\"div\",storyview:\"\")\n\\whitespace trim\n<span class=\"tc-tagged-draggable-list\">\n<$set name=\"tag\" value=<<__tag__>>>\n<$list filter=\"[<__tag__>tagging[]$subFilter$]\" emptyMessage=<<__emptyMessage__>> storyview=<<__storyview__>>>\n<$elementTag$ class=\"tc-menu-list-item\">\n<$droppable actions=\"\"\"<$macrocall $name=\"list-tagged-draggable-drop-actions\" tag=<<__tag__>>/>\"\"\" enable=<<tv-enable-drag-and-drop>>>\n<$elementTag$ class=\"tc-droppable-placeholder\"/>\n<$elementTag$>\n<$transclude tiddler=\"\"\"$itemTemplate$\"\"\">\n<$link to={{!!title}}>\n<$view field=\"title\"/>\n</$link>\n</$transclude>\n</$elementTag$>\n</$droppable>\n</$elementTag$>\n</$list>\n<$tiddler tiddler=\"\">\n<$droppable actions=\"\"\"<$macrocall $name=\"list-tagged-draggable-drop-actions\" tag=<<__tag__>>/>\"\"\" enable=<<tv-enable-drag-and-drop>>>\n<$elementTag$ class=\"tc-droppable-placeholder\"/>\n<$elementTag$ style=\"height:0.5em;\">\n</$elementTag$>\n</$droppable>\n</$tiddler>\n</$set>\n</span>\n\\end\n"
},
"$:/core/macros/tabs": {
"title": "$:/core/macros/tabs",
"tags": "$:/tags/Macro",
"text": "\\define tabs(tabsList,default,state:\"$:/state/tab\",class,template,buttonTemplate,retain)\n<div class=\"tc-tab-set $class$\">\n<div class=\"tc-tab-buttons $class$\">\n<$list filter=\"$tabsList$\" variable=\"currentTab\" storyview=\"pop\"><$set name=\"save-currentTiddler\" value=<<currentTiddler>>><$tiddler tiddler=<<currentTab>>><$button set=<<qualify \"$state$\">> setTo=<<currentTab>> default=\"$default$\" selectedClass=\"tc-tab-selected\" tooltip={{!!tooltip}}>\n<$tiddler tiddler=<<save-currentTiddler>>>\n<$set name=\"tv-wikilinks\" value=\"no\">\n<$transclude tiddler=\"$buttonTemplate$\" mode=\"inline\">\n<$transclude tiddler=<<currentTab>> field=\"caption\">\n<$macrocall $name=\"currentTab\" $type=\"text/plain\" $output=\"text/plain\"/>\n</$transclude>\n</$transclude>\n</$set></$tiddler></$button></$tiddler></$set></$list>\n</div>\n<div class=\"tc-tab-divider $class$\"/>\n<div class=\"tc-tab-content $class$\">\n<$list filter=\"$tabsList$\" variable=\"currentTab\">\n\n<$reveal type=\"match\" state=<<qualify \"$state$\">> text=<<currentTab>> default=\"$default$\" retain=\"\"\"$retain$\"\"\">\n\n<$transclude tiddler=\"$template$\" mode=\"block\">\n\n<$transclude tiddler=<<currentTab>> mode=\"block\"/>\n\n</$transclude>\n\n</$reveal>\n\n</$list>\n</div>\n</div>\n\\end\n"
},
"$:/core/macros/tag-picker": {
"title": "$:/core/macros/tag-picker",
"tags": "$:/tags/Macro",
"text": "\\define add-tag-actions()\n<$action-sendmessage $message=\"tm-add-tag\" $param={{{ [<newTagNameTiddler>get[text]] }}}/>\n<$action-deletetiddler $tiddler=<<newTagNameTiddler>>/>\n\\end\n\n\\define tag-button()\n<$button class=\"tc-btn-invisible\" tag=\"a\" tooltip={{$:/language/EditTemplate/Tags/Add/Button/Hint}}>\n<$action-sendmessage $message=\"tm-add-tag\" $param=<<tag>>/>\n<$action-deletetiddler $tiddler=<<newTagNameTiddler>>/>\n<$macrocall $name=\"tag-pill\" tag=<<tag>>/>\n</$button>\n\\end\n\n\\define tag-picker-inner()\n\\whitespace trim\n<div class=\"tc-edit-add-tag\">\n<span class=\"tc-add-tag-name\">\n<$keyboard key=\"ENTER\" actions=<<add-tag-actions>>>\n<$edit-text tiddler=<<newTagNameTiddler>> tag=\"input\" default=\"\" placeholder={{$:/language/EditTemplate/Tags/Add/Placeholder}} focusPopup=<<qualify \"$:/state/popup/tags-auto-complete\">> class=\"tc-edit-texteditor tc-popup-handle\" tabindex=<<tabIndex>> focus={{{ [{$:/config/AutoFocus}match[tags]then[true]] ~[[false]] }}}/>\n</$keyboard>\n</span> <$button popup=<<qualify \"$:/state/popup/tags-auto-complete\">> class=\"tc-btn-invisible\" tooltip={{$:/language/EditTemplate/Tags/Dropdown/Hint}} aria-label={{$:/language/EditTemplate/Tags/Dropdown/Caption}}>{{$:/core/images/down-arrow}}</$button> <span class=\"tc-add-tag-button\">\n<$set name=\"tag\" value={{{ [<newTagNameTiddler>get[text]] }}}>\n<$button set=\"$:/temp/NewTagName\" setTo=\"\" class=\"\">\n<<add-tag-actions>>\n<$action-deletetiddler $tiddler=<<newTagNameTiddler>>/>\n{{$:/language/EditTemplate/Tags/Add/Button}}\n</$button>\n</$set>\n</span>\n</div>\n<div class=\"tc-block-dropdown-wrapper\">\n<$reveal state=<<qualify \"$:/state/popup/tags-auto-complete\">> type=\"nomatch\" text=\"\" default=\"\">\n<div class=\"tc-block-dropdown\">\n<$set name=\"newTagName\" value={{{ [<newTagNameTiddler>get[text]] }}}>\n<$list filter=\"[<newTagName>minlength{$:/config/Tags/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n<$list filter=\"[tags[]!is[system]search:title<newTagName>sort[]]\" variable=\"tag\">\n<<tag-button>>\n</$list></$list>\n<hr>\n<$list filter=\"[<newTagName>minlength{$:/config/Tags/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n<$list filter=\"[tags[]is[system]search:title<newTagName>sort[]]\" variable=\"tag\">\n<<tag-button>>\n</$list></$list>\n</$set>\n</div>\n</$reveal>\n</div>\n\\end\n\\define tag-picker()\n\\whitespace trim\n<$list filter=\"[<newTagNameTiddler>match[]]\" emptyMessage=<<tag-picker-inner>>>\n<$set name=\"newTagNameTiddler\" value=<<qualify \"$:/temp/NewTagName\">>>\n<<tag-picker-inner>>\n</$set>\n</$list>\n\\end\n"
},
"$:/core/macros/tag": {
"title": "$:/core/macros/tag",
"tags": "$:/tags/Macro",
"text": "\\define tag-pill-styles()\nbackground-color:$(backgroundColor)$;\nfill:$(foregroundColor)$;\ncolor:$(foregroundColor)$;\n\\end\n\n\\define tag-pill-inner(tag,icon,colour,fallbackTarget,colourA,colourB,element-tag,element-attributes,actions)\n<$vars foregroundColor=<<contrastcolour target:\"\"\"$colour$\"\"\" fallbackTarget:\"\"\"$fallbackTarget$\"\"\" colourA:\"\"\"$colourA$\"\"\" colourB:\"\"\"$colourB$\"\"\">> backgroundColor=\"\"\"$colour$\"\"\">\n<$element-tag$ $element-attributes$ class=\"tc-tag-label tc-btn-invisible\" style=<<tag-pill-styles>>>\n$actions$<$transclude tiddler=\"\"\"$icon$\"\"\"/><$view tiddler=<<__tag__>> field=\"title\" format=\"text\" />\n</$element-tag$>\n</$vars>\n\\end\n\n\\define tag-pill-body(tag,icon,colour,palette,element-tag,element-attributes,actions)\n<$macrocall $name=\"tag-pill-inner\" tag=<<__tag__>> icon=\"\"\"$icon$\"\"\" colour=\"\"\"$colour$\"\"\" fallbackTarget={{$palette$##tag-background}} colourA={{$palette$##foreground}} colourB={{$palette$##background}} element-tag=\"\"\"$element-tag$\"\"\" element-attributes=\"\"\"$element-attributes$\"\"\" actions=\"\"\"$actions$\"\"\"/>\n\\end\n\n\\define tag-pill(tag,element-tag:\"span\",element-attributes:\"\",actions:\"\")\n<span class=\"tc-tag-list-item\">\n<$macrocall $name=\"tag-pill-body\" tag=<<__tag__>> icon={{{ [<__tag__>get[icon]] }}} colour={{{ [<__tag__>get[color]] }}} palette={{$:/palette}} element-tag=\"\"\"$element-tag$\"\"\" element-attributes=\"\"\"$element-attributes$\"\"\" actions=\"\"\"$actions$\"\"\"/>\n</span>\n\\end\n\n\\define tag(tag)\n{{$tag$||$:/core/ui/TagTemplate}}\n\\end\n"
},
"$:/core/macros/thumbnails": {
"title": "$:/core/macros/thumbnails",
"tags": "$:/tags/Macro",
"text": "\\define thumbnail(link,icon,color,background-color,image,caption,width:\"280\",height:\"157\")\n<$link to=\"\"\"$link$\"\"\"><div class=\"tc-thumbnail-wrapper\">\n<div class=\"tc-thumbnail-image\" style=\"width:$width$px;height:$height$px;\"><$reveal type=\"nomatch\" text=\"\" default=\"\"\"$image$\"\"\" tag=\"div\" style=\"width:$width$px;height:$height$px;\">\n[img[$image$]]\n</$reveal><$reveal type=\"match\" text=\"\" default=\"\"\"$image$\"\"\" tag=\"div\" class=\"tc-thumbnail-background\" style=\"width:$width$px;height:$height$px;background-color:$background-color$;\"></$reveal></div><div class=\"tc-thumbnail-icon\" style=\"fill:$color$;color:$color$;\">\n$icon$\n</div><div class=\"tc-thumbnail-caption\">\n$caption$\n</div>\n</div></$link>\n\\end\n\n\\define thumbnail-right(link,icon,color,background-color,image,caption,width:\"280\",height:\"157\")\n<div class=\"tc-thumbnail-right-wrapper\"><<thumbnail \"\"\"$link$\"\"\" \"\"\"$icon$\"\"\" \"\"\"$color$\"\"\" \"\"\"$background-color$\"\"\" \"\"\"$image$\"\"\" \"\"\"$caption$\"\"\" \"\"\"$width$\"\"\" \"\"\"$height$\"\"\">></div>\n\\end\n\n\\define list-thumbnails(filter,width:\"280\",height:\"157\")\n<$list filter=\"\"\"$filter$\"\"\"><$macrocall $name=\"thumbnail\" link={{!!link}} icon={{!!icon}} color={{!!color}} background-color={{!!background-color}} image={{!!image}} caption={{!!caption}} width=\"\"\"$width$\"\"\" height=\"\"\"$height$\"\"\"/></$list>\n\\end\n"
},
"$:/core/macros/timeline": {
"title": "$:/core/macros/timeline",
"created": "20141212105914482",
"modified": "20141212110330815",
"tags": "$:/tags/Macro",
"text": "\\define timeline-title()\n\\whitespace trim\n<!-- Override this macro with a global macro \n of the same name if you need to change \n how titles are displayed on the timeline \n -->\n<$view field=\"title\"/>\n\\end\n\\define timeline(limit:\"100\",format:\"DDth MMM YYYY\",subfilter:\"\",dateField:\"modified\")\n<div class=\"tc-timeline\">\n<$list filter=\"[!is[system]$subfilter$has[$dateField$]!sort[$dateField$]limit[$limit$]eachday[$dateField$]]\">\n<div class=\"tc-menu-list-item\">\n<$view field=\"$dateField$\" format=\"date\" template=\"$format$\"/>\n<$list filter=\"[sameday:$dateField${!!$dateField$}!is[system]$subfilter$!sort[$dateField$]]\">\n<div class=\"tc-menu-list-subitem\">\n<$link to={{!!title}}><<timeline-title>></$link>\n</div>\n</$list>\n</div>\n</$list>\n</div>\n\\end\n"
},
"$:/core/macros/toc": {
"title": "$:/core/macros/toc",
"tags": "$:/tags/Macro",
"text": "\\define toc-caption()\n<$set name=\"tv-wikilinks\" value=\"no\">\n <$transclude field=\"caption\">\n <$view field=\"title\"/>\n </$transclude>\n</$set>\n\\end\n\n\\define toc-body(tag,sort:\"\",itemClassFilter,exclude,path)\n<ol class=\"tc-toc\">\n <$list filter=\"\"\"[all[shadows+tiddlers]tag<__tag__>!has[draft.of]$sort$] -[<__tag__>] -[enlist<__exclude__>]\"\"\">\n <$vars item=<<currentTiddler>> path={{{ [<__path__>addsuffix[/]addsuffix<__tag__>] }}}>\n <$set name=\"excluded\" filter=\"\"\"[enlist<__exclude__>] [<__tag__>]\"\"\">\n <$set name=\"toc-item-class\" filter=<<__itemClassFilter__>> emptyValue=\"toc-item-selected\" value=\"toc-item\">\n <li class=<<toc-item-class>>>\n <$list filter=\"[all[current]toc-link[no]]\" emptyMessage=\"<$link><$view field='caption'><$view field='title'/></$view></$link>\">\n <<toc-caption>>\n </$list>\n <$macrocall $name=\"toc-body\" tag=<<item>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<excluded>> path=<<path>>/>\n </li>\n </$set>\n </$set>\n </$vars>\n </$list>\n</ol>\n\\end\n\n\\define toc(tag,sort:\"\",itemClassFilter:\"\")\n<$macrocall $name=\"toc-body\" tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> />\n\\end\n\n\\define toc-linked-expandable-body(tag,sort:\"\",itemClassFilter,exclude,path)\n<!-- helper function -->\n<$qualify name=\"toc-state\" title={{{ [[$:/state/toc]addsuffix<__path__>addsuffix[-]addsuffix<currentTiddler>] }}}>\n <$set name=\"toc-item-class\" filter=<<__itemClassFilter__>> emptyValue=\"toc-item-selected\" value=\"toc-item\">\n <li class=<<toc-item-class>>>\n <$link>\n <$reveal type=\"nomatch\" stateTitle=<<toc-state>> text=\"open\">\n <$button setTitle=<<toc-state>> setTo=\"open\" class=\"tc-btn-invisible tc-popup-keep\">\n {{$:/core/images/right-arrow}}\n </$button>\n </$reveal>\n <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n <$button setTitle=<<toc-state>> setTo=\"close\" class=\"tc-btn-invisible tc-popup-keep\">\n {{$:/core/images/down-arrow}}\n </$button>\n </$reveal>\n <<toc-caption>>\n </$link>\n <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n <$macrocall $name=\"toc-expandable\" tag=<<currentTiddler>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<__exclude__>> path=<<__path__>>/>\n </$reveal>\n </li>\n </$set>\n</$qualify>\n\\end\n\n\\define toc-unlinked-expandable-body(tag,sort:\"\",itemClassFilter,exclude,path)\n<!-- helper function -->\n<$qualify name=\"toc-state\" title={{{ [[$:/state/toc]addsuffix<__path__>addsuffix[-]addsuffix<currentTiddler>] }}}>\n <$set name=\"toc-item-class\" filter=<<__itemClassFilter__>> emptyValue=\"toc-item-selected\" value=\"toc-item\">\n <li class=<<toc-item-class>>>\n <$reveal type=\"nomatch\" stateTitle=<<toc-state>> text=\"open\">\n <$button setTitle=<<toc-state>> setTo=\"open\" class=\"tc-btn-invisible tc-popup-keep\">\n {{$:/core/images/right-arrow}}\n <<toc-caption>>\n </$button>\n </$reveal>\n <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n <$button setTitle=<<toc-state>> setTo=\"close\" class=\"tc-btn-invisible tc-popup-keep\">\n {{$:/core/images/down-arrow}}\n <<toc-caption>>\n </$button>\n </$reveal>\n <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n <$macrocall $name=\"toc-expandable\" tag=<<currentTiddler>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<__exclude__>> path=<<__path__>>/>\n </$reveal>\n </li>\n </$set>\n</$qualify>\n\\end\n\n\\define toc-expandable-empty-message()\n<$macrocall $name=\"toc-linked-expandable-body\" tag=<<tag>> sort=<<sort>> itemClassFilter=<<itemClassFilter>> exclude=<<excluded>> path=<<path>>/>\n\\end\n\n\\define toc-expandable(tag,sort:\"\",itemClassFilter:\"\",exclude,path)\n<$vars tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> path={{{ [<__path__>addsuffix[/]addsuffix<__tag__>] }}}>\n <$set name=\"excluded\" filter=\"\"\"[enlist<__exclude__>] [<__tag__>]\"\"\">\n <ol class=\"tc-toc toc-expandable\">\n <$list filter=\"\"\"[all[shadows+tiddlers]tag<__tag__>!has[draft.of]$sort$] -[<__tag__>] -[enlist<__exclude__>]\"\"\">\n <$list filter=\"[all[current]toc-link[no]]\" emptyMessage=<<toc-expandable-empty-message>> >\n <$macrocall $name=\"toc-unlinked-expandable-body\" tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=\"\"\"itemClassFilter\"\"\" exclude=<<excluded>> path=<<path>> />\n </$list>\n </$list>\n </ol>\n </$set>\n</$vars>\n\\end\n\n\\define toc-linked-selective-expandable-body(tag,sort:\"\",itemClassFilter,exclude,path)\n<$qualify name=\"toc-state\" title={{{ [[$:/state/toc]addsuffix<__path__>addsuffix[-]addsuffix<currentTiddler>] }}}>\n <$set name=\"toc-item-class\" filter=<<__itemClassFilter__>> emptyValue=\"toc-item-selected\" value=\"toc-item\" >\n <li class=<<toc-item-class>>>\n <$link>\n <$list filter=\"[all[current]tagging[]$sort$limit[1]]\" variable=\"ignore\" emptyMessage=\"<$button class='tc-btn-invisible'>{{$:/core/images/blank}}</$button>\">\n <$reveal type=\"nomatch\" stateTitle=<<toc-state>> text=\"open\">\n <$button setTitle=<<toc-state>> setTo=\"open\" class=\"tc-btn-invisible tc-popup-keep\">\n {{$:/core/images/right-arrow}}\n </$button>\n </$reveal>\n <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n <$button setTitle=<<toc-state>> setTo=\"close\" class=\"tc-btn-invisible tc-popup-keep\">\n {{$:/core/images/down-arrow}}\n </$button>\n </$reveal>\n </$list>\n <<toc-caption>>\n </$link>\n <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n <$macrocall $name=\"toc-selective-expandable\" tag=<<currentTiddler>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<__exclude__>> path=<<__path__>>/>\n </$reveal>\n </li>\n </$set>\n</$qualify>\n\\end\n\n\\define toc-unlinked-selective-expandable-body(tag,sort:\"\",itemClassFilter,exclude,path)\n<$qualify name=\"toc-state\" title={{{ [[$:/state/toc]addsuffix<__path__>addsuffix[-]addsuffix<currentTiddler>] }}}>\n <$set name=\"toc-item-class\" filter=<<__itemClassFilter__>> emptyValue=\"toc-item-selected\" value=\"toc-item\">\n <li class=<<toc-item-class>>>\n <$list filter=\"[all[current]tagging[]$sort$limit[1]]\" variable=\"ignore\" emptyMessage=\"<$button class='tc-btn-invisible'>{{$:/core/images/blank}}</$button> <$view field='caption'><$view field='title'/></$view>\">\n <$reveal type=\"nomatch\" stateTitle=<<toc-state>> text=\"open\">\n <$button setTitle=<<toc-state>> setTo=\"open\" class=\"tc-btn-invisible tc-popup-keep\">\n {{$:/core/images/right-arrow}}\n <<toc-caption>>\n </$button>\n </$reveal>\n <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n <$button setTitle=<<toc-state>> setTo=\"close\" class=\"tc-btn-invisible tc-popup-keep\">\n {{$:/core/images/down-arrow}}\n <<toc-caption>>\n </$button>\n </$reveal>\n </$list>\n <$reveal type=\"match\" stateTitle=<<toc-state>> text=\"open\">\n <$macrocall $name=\"toc-selective-expandable\" tag=<<currentTiddler>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<__exclude__>> path=<<__path__>>/>\n </$reveal>\n </li>\n </$set>\n</$qualify>\n\\end\n\n\\define toc-selective-expandable-empty-message()\n<$macrocall $name=\"toc-linked-selective-expandable-body\" tag=<<tag>> sort=<<sort>> itemClassFilter=<<itemClassFilter>> exclude=<<excluded>> path=<<path>>/>\n\\end\n\n\\define toc-selective-expandable(tag,sort:\"\",itemClassFilter,exclude,path)\n<$vars tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> path={{{ [<__path__>addsuffix[/]addsuffix<__tag__>] }}}>\n <$set name=\"excluded\" filter=\"\"\"[enlist<__exclude__>] [<__tag__>]\"\"\">\n <ol class=\"tc-toc toc-selective-expandable\">\n <$list filter=\"\"\"[all[shadows+tiddlers]tag<__tag__>!has[draft.of]$sort$] -[<__tag__>] -[enlist<__exclude__>]\"\"\">\n <$list filter=\"[all[current]toc-link[no]]\" variable=\"ignore\" emptyMessage=<<toc-selective-expandable-empty-message>> >\n <$macrocall $name=\"toc-unlinked-selective-expandable-body\" tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=<<__itemClassFilter__>> exclude=<<excluded>> path=<<path>>/>\n </$list>\n </$list>\n </ol>\n </$set>\n</$vars>\n\\end\n\n\\define toc-tabbed-external-nav(tag,sort:\"\",selectedTiddler:\"$:/temp/toc/selectedTiddler\",unselectedText,missingText,template:\"\")\n<$tiddler tiddler={{{ [<__selectedTiddler__>get[text]] }}}>\n <div class=\"tc-tabbed-table-of-contents\">\n <$linkcatcher to=<<__selectedTiddler__>>>\n <div class=\"tc-table-of-contents\">\n <$macrocall $name=\"toc-selective-expandable\" tag=<<__tag__>> sort=<<__sort__>> itemClassFilter=\"[all[current]] -[<__selectedTiddler__>get[text]]\"/>\n </div>\n </$linkcatcher>\n <div class=\"tc-tabbed-table-of-contents-content\">\n <$reveal stateTitle=<<__selectedTiddler__>> type=\"nomatch\" text=\"\">\n <$transclude mode=\"block\" tiddler=<<__template__>>>\n <h1><<toc-caption>></h1>\n <$transclude mode=\"block\">$missingText$</$transclude>\n </$transclude>\n </$reveal>\n <$reveal stateTitle=<<__selectedTiddler__>> type=\"match\" text=\"\">\n $unselectedText$\n </$reveal>\n </div>\n </div>\n</$tiddler>\n\\end\n\n\\define toc-tabbed-internal-nav(tag,sort:\"\",selectedTiddler:\"$:/temp/toc/selectedTiddler\",unselectedText,missingText,template:\"\")\n<$linkcatcher to=<<__selectedTiddler__>>>\n <$macrocall $name=\"toc-tabbed-external-nav\" tag=<<__tag__>> sort=<<__sort__>> selectedTiddler=<<__selectedTiddler__>> unselectedText=<<__unselectedText__>> missingText=<<__missingText__>> template=<<__template__>>/>\n</$linkcatcher>\n\\end\n\n"
},
"$:/core/macros/translink": {
"title": "$:/core/macros/translink",
"tags": "$:/tags/Macro",
"text": "\\define translink(title,mode:\"block\")\n<div style=\"border:1px solid #ccc; padding: 0.5em; background: black; foreground; white;\">\n<$link to=\"\"\"$title$\"\"\">\n<$text text=\"\"\"$title$\"\"\"/>\n</$link>\n<div style=\"border:1px solid #ccc; padding: 0.5em; background: white; foreground; black;\">\n<$transclude tiddler=\"\"\"$title$\"\"\" mode=\"$mode$\">\n\"<$text text=\"\"\"$title$\"\"\"/>\" is missing\n</$transclude>\n</div>\n</div>\n\\end\n"
},
"$:/core/macros/tree": {
"title": "$:/core/macros/tree",
"tags": "$:/tags/Macro",
"text": "\\define leaf-link(full-title,chunk,separator: \"/\")\n<$link to=<<__full-title__>>><$text text=<<__chunk__>>/></$link>\n\\end\n\n\\define leaf-node(prefix,chunk)\n<li>\n<$list filter=\"[<__prefix__>addsuffix<__chunk__>is[shadow]] [<__prefix__>addsuffix<__chunk__>is[tiddler]]\" variable=\"full-title\">\n<$list filter=\"[<full-title>removeprefix<__prefix__>]\" variable=\"chunk\">\n<span>{{$:/core/images/file}}</span> <$macrocall $name=\"leaf-link\" full-title=<<full-title>> chunk=<<chunk>>/>\n</$list>\n</$list>\n</li>\n\\end\n\n\\define branch-node(prefix,chunk,separator: \"/\")\n<li>\n<$set name=\"reveal-state\" value={{{ [[$:/state/tree/]addsuffix<__prefix__>addsuffix<__chunk__>] }}}>\n<$reveal type=\"nomatch\" stateTitle=<<reveal-state>> text=\"show\">\n<$button setTitle=<<reveal-state>> setTo=\"show\" class=\"tc-btn-invisible\">\n{{$:/core/images/folder}} <$text text=<<__chunk__>>/>\n</$button>\n</$reveal>\n<$reveal type=\"match\" stateTitle=<<reveal-state>> text=\"show\">\n<$button setTitle=<<reveal-state>> setTo=\"hide\" class=\"tc-btn-invisible\">\n{{$:/core/images/folder}} <$text text=<<__chunk__>>/>\n</$button>\n</$reveal>\n<span>(<$count filter=\"[all[shadows+tiddlers]removeprefix<__prefix__>removeprefix<__chunk__>] -[<__prefix__>addsuffix<__chunk__>]\"/>)</span>\n<$reveal type=\"match\" stateTitle=<<reveal-state>> text=\"show\">\n<$macrocall $name=\"tree-node\" prefix={{{ [<__prefix__>addsuffix<__chunk__>] }}} separator=<<__separator__>>/>\n</$reveal>\n</$set>\n</li>\n\\end\n\n\\define tree-node(prefix,separator: \"/\")\n<ol>\n<$list filter=\"[all[shadows+tiddlers]removeprefix<__prefix__>splitbefore<__separator__>sort[]!suffix<__separator__>]\" variable=\"chunk\">\n<$macrocall $name=\"leaf-node\" prefix=<<__prefix__>> chunk=<<chunk>> separator=<<__separator__>>/>\n</$list>\n<$list filter=\"[all[shadows+tiddlers]removeprefix<__prefix__>splitbefore<__separator__>sort[]suffix<__separator__>]\" variable=\"chunk\">\n<$macrocall $name=\"branch-node\" prefix=<<__prefix__>> chunk=<<chunk>> separator=<<__separator__>>/>\n</$list>\n</ol>\n\\end\n\n\\define tree(prefix: \"$:/\",separator: \"/\")\n<div class=\"tc-tree\">\n<span><$text text=<<__prefix__>>/></span>\n<div>\n<$macrocall $name=\"tree-node\" prefix=<<__prefix__>> separator=<<__separator__>>/>\n</div>\n</div>\n\\end\n"
},
"$:/core/macros/utils": {
"title": "$:/core/macros/utils",
"text": "\\define colour(colour)\n$colour$\n\\end\n"
},
"$:/snippets/minifocusswitcher": {
"title": "$:/snippets/minifocusswitcher",
"text": "<$select tiddler=\"$:/config/AutoFocus\">\n<$list filter=\"title tags text type fields\">\n<option value=<<currentTiddler>>><<currentTiddler>></option>\n</$list>\n</$select>\n"
},
"$:/snippets/minilanguageswitcher": {
"title": "$:/snippets/minilanguageswitcher",
"text": "<$select tiddler=\"$:/language\">\n<$list filter=\"[[$:/languages/en-GB]] [plugin-type[language]sort[title]]\">\n<option value=<<currentTiddler>>><$view field=\"description\"><$view field=\"name\"><$view field=\"title\"/></$view></$view></option>\n</$list>\n</$select>"
},
"$:/snippets/minithemeswitcher": {
"title": "$:/snippets/minithemeswitcher",
"text": "\\define lingo-base() $:/language/ControlPanel/Theme/\n<<lingo Prompt>> <$select tiddler=\"$:/theme\">\n<$list filter=\"[plugin-type[theme]sort[title]]\">\n<option value=<<currentTiddler>>><$view field=\"name\"><$view field=\"title\"/></$view></option>\n</$list>\n</$select>"
},
"$:/snippets/modules": {
"title": "$:/snippets/modules",
"text": "\\define describeModuleType(type)\n{{$:/language/Docs/ModuleTypes/$type$}}\n\\end\n<$list filter=\"[moduletypes[]]\">\n\n!! <$macrocall $name=\"currentTiddler\" $type=\"text/plain\" $output=\"text/plain\"/>\n\n<$macrocall $name=\"describeModuleType\" type=<<currentTiddler>>/>\n\n<ul><$list filter=\"[all[current]modules[]]\"><li><$link><<currentTiddler>></$link>\n</li>\n</$list>\n</ul>\n</$list>\n"
},
"$:/palette": {
"title": "$:/palette",
"text": "$:/palettes/Vanilla"
},
"$:/snippets/paletteeditor": {
"title": "$:/snippets/paletteeditor",
"text": "<$transclude tiddler=\"$:/PaletteManager\"/>\n"
},
"$:/snippets/palettepreview": {
"title": "$:/snippets/palettepreview",
"text": "<$set name=\"currentTiddler\" value={{$:/palette}}>\n{{||$:/snippets/currpalettepreview}}\n</$set>\n"
},
"$:/snippets/paletteswitcher": {
"title": "$:/snippets/paletteswitcher",
"text": "<$linkcatcher to=\"$:/palette\">\n<div class=\"tc-chooser\"><$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Palette]sort[name]]\"><$set name=\"cls\" filter=\"[all[current]prefix{$:/palette}]\" value=\"tc-chooser-item tc-chosen\" emptyValue=\"tc-chooser-item\"><div class=<<cls>>><$link to={{!!title}}>''<$view field=\"name\" format=\"text\"/>'' - <$view field=\"description\" format=\"text\"/>{{||$:/snippets/currpalettepreview}}</$link>\n</div></$set>\n</$list>\n</div>\n</$linkcatcher>\n"
},
"$:/snippets/peek-stylesheets": {
"title": "$:/snippets/peek-stylesheets",
"text": "\\define expandable-stylesheets-list()\n<ol>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Stylesheet]!has[draft.of]]\">\n<$vars state=<<qualify \"$:/state/peek-stylesheets/open/\">>>\n<$set name=\"state\" value={{{ [<state>addsuffix<currentTiddler>] }}}>\n<li>\n<$reveal type=\"match\" state=<<state>> text=\"yes\" tag=\"span\">\n<$button set=<<state>> setTo=\"no\" class=\"tc-btn-invisible\">\n{{$:/core/images/down-arrow}}\n</$button>\n</$reveal>\n<$reveal type=\"nomatch\" state=<<state>> text=\"yes\" tag=\"span\">\n<$button set=<<state>> setTo=\"yes\" class=\"tc-btn-invisible\">\n{{$:/core/images/right-arrow}}\n</$button>\n</$reveal>\n<$link>\n<$view field=\"title\"/>\n</$link>\n<$reveal type=\"match\" state=<<state>> text=\"yes\" tag=\"div\">\n<$set name=\"source\" tiddler=<<currentTiddler>>>\n<$wikify name=\"styles\" text=<<source>>>\n<pre>\n<code>\n<$text text=<<styles>>/>\n</code>\n</pre>\n</$wikify>\n</$set>\n</$reveal>\n</li>\n</$set>\n</$vars>\n</$list>\n</ol>\n\\end\n\n\\define stylesheets-list()\n<ol>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Stylesheet]!has[draft.of]]\">\n<li>\n<$link>\n<$view field=\"title\"/>\n</$link>\n<$set name=\"source\" tiddler=<<currentTiddler>>>\n<$wikify name=\"styles\" text=<<source>>>\n<pre>\n<code>\n<$text text=<<styles>>/>\n</code>\n</pre>\n</$wikify>\n</$set>\n</li>\n</$list>\n</ol>\n\\end\n\n<$vars modeState=<<qualify \"$:/state/peek-stylesheets/mode/\">>>\n\n<$reveal type=\"nomatch\" state=<<modeState>> text=\"expanded\" tag=\"div\">\n<$button set=<<modeState>> setTo=\"expanded\" class=\"tc-btn-invisible\">{{$:/core/images/chevron-right}} {{$:/language/ControlPanel/Stylesheets/Expand/Caption}}</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<modeState>> text=\"expanded\" tag=\"div\">\n<$button set=<<modeState>> setTo=\"restored\" class=\"tc-btn-invisible\">{{$:/core/images/chevron-down}} {{$:/language/ControlPanel/Stylesheets/Restore/Caption}}</$button>\n</$reveal>\n\n<$reveal type=\"nomatch\" state=<<modeState>> text=\"expanded\" tag=\"div\">\n<<expandable-stylesheets-list>>\n</$reveal>\n<$reveal type=\"match\" state=<<modeState>> text=\"expanded\" tag=\"div\">\n<<stylesheets-list>>\n</$reveal>\n\n</$vars>\n"
},
"$:/temp/search": {
"title": "$:/temp/search",
"text": ""
},
"$:/tags/AdvancedSearch": {
"title": "$:/tags/AdvancedSearch",
"list": "[[$:/core/ui/AdvancedSearch/Standard]] [[$:/core/ui/AdvancedSearch/System]] [[$:/core/ui/AdvancedSearch/Shadows]] [[$:/core/ui/AdvancedSearch/Filter]]"
},
"$:/tags/AdvancedSearch/FilterButton": {
"title": "$:/tags/AdvancedSearch/FilterButton",
"list": "$:/core/ui/AdvancedSearch/Filter/FilterButtons/dropdown $:/core/ui/AdvancedSearch/Filter/FilterButtons/clear $:/core/ui/AdvancedSearch/Filter/FilterButtons/export $:/core/ui/AdvancedSearch/Filter/FilterButtons/delete"
},
"$:/tags/ControlPanel": {
"title": "$:/tags/ControlPanel",
"list": "$:/core/ui/ControlPanel/Info $:/core/ui/ControlPanel/Appearance $:/core/ui/ControlPanel/Settings $:/core/ui/ControlPanel/Saving $:/core/ui/ControlPanel/Plugins $:/core/ui/ControlPanel/Tools $:/core/ui/ControlPanel/Internals"
},
"$:/tags/ControlPanel/Info": {
"title": "$:/tags/ControlPanel/Info",
"list": "$:/core/ui/ControlPanel/Basics $:/core/ui/ControlPanel/Advanced"
},
"$:/tags/ControlPanel/Plugins": {
"title": "$:/tags/ControlPanel/Plugins",
"list": "[[$:/core/ui/ControlPanel/Plugins/Installed]] [[$:/core/ui/ControlPanel/Plugins/Add]]"
},
"$:/tags/EditTemplate": {
"title": "$:/tags/EditTemplate",
"list": "[[$:/core/ui/EditTemplate/controls]] [[$:/core/ui/EditTemplate/title]] [[$:/core/ui/EditTemplate/tags]] [[$:/core/ui/EditTemplate/shadow]] [[$:/core/ui/ViewTemplate/classic]] [[$:/core/ui/EditTemplate/body]] [[$:/core/ui/EditTemplate/type]] [[$:/core/ui/EditTemplate/fields]]"
},
"$:/tags/EditToolbar": {
"title": "$:/tags/EditToolbar",
"list": "[[$:/core/ui/Buttons/delete]] [[$:/core/ui/Buttons/cancel]] [[$:/core/ui/Buttons/save]]"
},
"$:/tags/EditorToolbar": {
"title": "$:/tags/EditorToolbar",
"list": "$:/core/ui/EditorToolbar/paint $:/core/ui/EditorToolbar/opacity $:/core/ui/EditorToolbar/line-width $:/core/ui/EditorToolbar/rotate-left $:/core/ui/EditorToolbar/clear $:/core/ui/EditorToolbar/bold $:/core/ui/EditorToolbar/italic $:/core/ui/EditorToolbar/strikethrough $:/core/ui/EditorToolbar/underline $:/core/ui/EditorToolbar/superscript $:/core/ui/EditorToolbar/subscript $:/core/ui/EditorToolbar/mono-line $:/core/ui/EditorToolbar/mono-block $:/core/ui/EditorToolbar/quote $:/core/ui/EditorToolbar/list-bullet $:/core/ui/EditorToolbar/list-number $:/core/ui/EditorToolbar/heading-1 $:/core/ui/EditorToolbar/heading-2 $:/core/ui/EditorToolbar/heading-3 $:/core/ui/EditorToolbar/heading-4 $:/core/ui/EditorToolbar/heading-5 $:/core/ui/EditorToolbar/heading-6 $:/core/ui/EditorToolbar/link $:/core/ui/EditorToolbar/excise $:/core/ui/EditorToolbar/picture $:/core/ui/EditorToolbar/stamp $:/core/ui/EditorToolbar/size $:/core/ui/EditorToolbar/editor-height $:/core/ui/EditorToolbar/more $:/core/ui/EditorToolbar/preview $:/core/ui/EditorToolbar/preview-type"
},
"$:/tags/Manager/ItemMain": {
"title": "$:/tags/Manager/ItemMain",
"list": "$:/Manager/ItemMain/WikifiedText $:/Manager/ItemMain/RawText $:/Manager/ItemMain/Fields"
},
"$:/tags/Manager/ItemSidebar": {
"title": "$:/tags/Manager/ItemSidebar",
"list": "$:/Manager/ItemSidebar/Tags $:/Manager/ItemSidebar/Colour $:/Manager/ItemSidebar/Icon $:/Manager/ItemSidebar/Tools"
},
"$:/tags/MoreSideBar": {
"title": "$:/tags/MoreSideBar",
"list": "[[$:/core/ui/MoreSideBar/All]] [[$:/core/ui/MoreSideBar/Recent]] [[$:/core/ui/MoreSideBar/Tags]] [[$:/core/ui/MoreSideBar/Missing]] [[$:/core/ui/MoreSideBar/Drafts]] [[$:/core/ui/MoreSideBar/Orphans]] [[$:/core/ui/MoreSideBar/Types]] [[$:/core/ui/MoreSideBar/System]] [[$:/core/ui/MoreSideBar/Shadows]] [[$:/core/ui/MoreSideBar/Explorer]] [[$:/core/ui/MoreSideBar/Plugins]]",
"text": ""
},
"$:/tags/PageControls": {
"title": "$:/tags/PageControls",
"list": "[[$:/core/ui/Buttons/home]] [[$:/core/ui/Buttons/close-all]] [[$:/core/ui/Buttons/fold-all]] [[$:/core/ui/Buttons/unfold-all]] [[$:/core/ui/Buttons/permaview]] [[$:/core/ui/Buttons/new-tiddler]] [[$:/core/ui/Buttons/new-journal]] [[$:/core/ui/Buttons/new-image]] [[$:/core/ui/Buttons/import]] [[$:/core/ui/Buttons/export-page]] [[$:/core/ui/Buttons/control-panel]] [[$:/core/ui/Buttons/advanced-search]] [[$:/core/ui/Buttons/manager]] [[$:/core/ui/Buttons/tag-manager]] [[$:/core/ui/Buttons/language]] [[$:/core/ui/Buttons/palette]] [[$:/core/ui/Buttons/theme]] [[$:/core/ui/Buttons/storyview]] [[$:/core/ui/Buttons/encryption]] [[$:/core/ui/Buttons/timestamp]] [[$:/core/ui/Buttons/full-screen]] [[$:/core/ui/Buttons/print]] [[$:/core/ui/Buttons/save-wiki]] [[$:/core/ui/Buttons/refresh]] [[$:/core/ui/Buttons/more-page-actions]]"
},
"$:/tags/PageTemplate": {
"title": "$:/tags/PageTemplate",
"list": "[[$:/core/ui/PageTemplate/topleftbar]] [[$:/core/ui/PageTemplate/toprightbar]] [[$:/core/ui/PageTemplate/sidebar]] [[$:/core/ui/PageTemplate/story]] [[$:/core/ui/PageTemplate/alerts]]",
"text": ""
},
"$:/tags/PluginLibrary": {
"title": "$:/tags/PluginLibrary",
"list": "$:/config/OfficialPluginLibrary"
},
"$:/tags/SideBar": {
"title": "$:/tags/SideBar",
"list": "[[$:/core/ui/SideBar/Open]] [[$:/core/ui/SideBar/Recent]] [[$:/core/ui/SideBar/Tools]] [[$:/core/ui/SideBar/More]]",
"text": ""
},
"$:/tags/SideBarSegment": {
"title": "$:/tags/SideBarSegment",
"list": "[[$:/core/ui/SideBarSegments/site-title]] [[$:/core/ui/SideBarSegments/site-subtitle]] [[$:/core/ui/SideBarSegments/page-controls]] [[$:/core/ui/SideBarSegments/search]] [[$:/core/ui/SideBarSegments/tabs]]"
},
"$:/tags/TiddlerInfo": {
"title": "$:/tags/TiddlerInfo",
"list": "[[$:/core/ui/TiddlerInfo/Tools]] [[$:/core/ui/TiddlerInfo/References]] [[$:/core/ui/TiddlerInfo/Tagging]] [[$:/core/ui/TiddlerInfo/List]] [[$:/core/ui/TiddlerInfo/Listed]] [[$:/core/ui/TiddlerInfo/Fields]]",
"text": ""
},
"$:/tags/TiddlerInfo/Advanced": {
"title": "$:/tags/TiddlerInfo/Advanced",
"list": "[[$:/core/ui/TiddlerInfo/Advanced/ShadowInfo]] [[$:/core/ui/TiddlerInfo/Advanced/PluginInfo]]"
},
"$:/tags/ViewTemplate": {
"title": "$:/tags/ViewTemplate",
"list": "[[$:/core/ui/ViewTemplate/title]] [[$:/core/ui/ViewTemplate/unfold]] [[$:/core/ui/ViewTemplate/subtitle]] [[$:/core/ui/ViewTemplate/tags]] [[$:/core/ui/ViewTemplate/classic]] [[$:/core/ui/ViewTemplate/body]]"
},
"$:/tags/ViewToolbar": {
"title": "$:/tags/ViewToolbar",
"list": "[[$:/core/ui/Buttons/more-tiddler-actions]] [[$:/core/ui/Buttons/info]] [[$:/core/ui/Buttons/new-here]] [[$:/core/ui/Buttons/new-journal-here]] [[$:/core/ui/Buttons/clone]] [[$:/core/ui/Buttons/export-tiddler]] [[$:/core/ui/Buttons/edit]] [[$:/core/ui/Buttons/delete]] [[$:/core/ui/Buttons/permalink]] [[$:/core/ui/Buttons/permaview]] [[$:/core/ui/Buttons/open-window]] [[$:/core/ui/Buttons/close-others]] [[$:/core/ui/Buttons/close]] [[$:/core/ui/Buttons/fold-others]] [[$:/core/ui/Buttons/fold]]"
},
"$:/snippets/themeswitcher": {
"title": "$:/snippets/themeswitcher",
"text": "<$linkcatcher to=\"$:/theme\">\n<div class=\"tc-chooser\"><$list filter=\"[plugin-type[theme]sort[title]]\"><$set name=\"cls\" filter=\"[all[current]field:title{$:/theme}] [[$:/theme]!has[text]addsuffix[s/tiddlywiki/vanilla]field:title<currentTiddler>] +[limit[1]]\" value=\"tc-chooser-item tc-chosen\" emptyValue=\"tc-chooser-item\"><div class=<<cls>>><$link to={{!!title}}>''<$view field=\"name\" format=\"text\"/>'' <$view field=\"description\" format=\"text\"/></$link></div>\n</$set>\n</$list>\n</div>\n</$linkcatcher>"
},
"$:/core/wiki/title": {
"title": "$:/core/wiki/title",
"text": "{{$:/SiteTitle}} --- {{$:/SiteSubtitle}}"
},
"$:/view": {
"title": "$:/view",
"text": "classic"
},
"$:/snippets/viewswitcher": {
"title": "$:/snippets/viewswitcher",
"text": "\\define icon()\n$:/core/images/storyview-$(storyview)$\n\\end\n<$linkcatcher to=\"$:/view\">\n<div class=\"tc-chooser tc-viewswitcher\">\n<$list filter=\"[storyviews[]]\" variable=\"storyview\">\n<$set name=\"cls\" filter=\"[<storyview>prefix{$:/view}]\" value=\"tc-chooser-item tc-chosen\" emptyValue=\"tc-chooser-item\"><div class=<<cls>>>\n<$link to=<<storyview>>><$transclude tiddler=<<icon>>/><$text text=<<storyview>>/></$link>\n</div>\n</$set>\n</$list>\n</div>\n</$linkcatcher>"
}
}
}
The following tiddlers were imported:
# [[image.png]]
{
"tiddlers": {
"$:/language/Buttons/+ExportPage/Hint": {
"title": "$:/language/Buttons/+ExportPage/Hint",
"text": "Экспортировать все заметки"
},
"$:/language/Buttons/+ExportTiddler/Caption": {
"title": "$:/language/Buttons/+ExportTiddler/Caption",
"text": "экспортировать заметку"
},
"$:/language/Buttons/+ExportTiddler/Hint": {
"title": "$:/language/Buttons/+ExportTiddler/Hint",
"text": "Экспортировать заметку"
},
"$:/language/Buttons/+ExportTiddlers/Caption": {
"title": "$:/language/Buttons/+ExportTiddlers/Caption",
"text": "экспортировать заметки"
},
"$:/language/Buttons/+ExportTiddlers/Hint": {
"title": "$:/language/Buttons/+ExportTiddlers/Hint",
"text": "Экспортировать заметки"
},
"$:/language/Buttons/AdvancedSearch/Caption": {
"title": "$:/language/Buttons/AdvancedSearch/Caption",
"text": "расширенный поиск"
},
"$:/language/Buttons/AdvancedSearch/Hint": {
"title": "$:/language/Buttons/AdvancedSearch/Hint",
"text": "Расширенный поиск"
},
"$:/language/Buttons/Cancel/Caption": {
"title": "$:/language/Buttons/Cancel/Caption",
"text": "отмена"
},
"$:/language/Buttons/Cancel/Hint": {
"title": "$:/language/Buttons/Cancel/Hint",
"text": "Отменить редактирование заметки"
},
"$:/language/Buttons/Clone/Caption": {
"title": "$:/language/Buttons/Clone/Caption",
"text": "клонировать"
},
"$:/language/Buttons/Clone/Hint": {
"title": "$:/language/Buttons/Clone/Hint",
"text": "Создать копию заметки"
},
"$:/language/Buttons/Close/Caption": {
"title": "$:/language/Buttons/Close/Caption",
"text": "закрыть"
},
"$:/language/Buttons/Close/Hint": {
"title": "$:/language/Buttons/Close/Hint",
"text": "Закрыть заметку"
},
"$:/language/Buttons/CloseAll/Caption": {
"title": "$:/language/Buttons/CloseAll/Caption",
"text": "закрыть все"
},
"$:/language/Buttons/CloseAll/Hint": {
"title": "$:/language/Buttons/CloseAll/Hint",
"text": "Закрыть все заметки"
},
"$:/language/Buttons/CloseOthers/Caption": {
"title": "$:/language/Buttons/CloseOthers/Caption",
"text": "закрыть остальные"
},
"$:/language/Buttons/CloseOthers/Hint": {
"title": "$:/language/Buttons/CloseOthers/Hint",
"text": "Закрыть остальные заметки"
},
"$:/language/Buttons/ControlPanel/Caption": {
"title": "$:/language/Buttons/ControlPanel/Caption",
"text": "панель управления"
},
"$:/language/Buttons/ControlPanel/Hint": {
"title": "$:/language/Buttons/ControlPanel/Hint",
"text": "Открыть панель управления"
},
"$:/language/Buttons/Delete/Caption": {
"title": "$:/language/Buttons/Delete/Caption",
"text": "удалить"
},
"$:/language/Buttons/Delete/Hint": {
"title": "$:/language/Buttons/Delete/Hint",
"text": "Удалить заметку"
},
"$:/language/Buttons/Edit/Caption": {
"title": "$:/language/Buttons/Edit/Caption",
"text": "редактировать"
},
"$:/language/Buttons/Edit/Hint": {
"title": "$:/language/Buttons/Edit/Hint",
"text": "Редактировать заметку"
},
"$:/language/Buttons/Encryption/Caption": {
"title": "$:/language/Buttons/Encryption/Caption",
"text": "шифрование"
},
"$:/language/Buttons/Encryption/ClearPassword/Caption": {
"title": "$:/language/Buttons/Encryption/ClearPassword/Caption",
"text": "сбросить пароль"
},
"$:/language/Buttons/Encryption/ClearPassword/Hint": {
"title": "$:/language/Buttons/Encryption/ClearPassword/Hint",
"text": "Сбросить пароль и сохранить без использования шифрования"
},
"$:/language/Buttons/Encryption/Hint": {
"title": "$:/language/Buttons/Encryption/Hint",
"text": "Установить или сбросить пароль"
},
"$:/language/Buttons/Encryption/SetPassword/Caption": {
"title": "$:/language/Buttons/Encryption/SetPassword/Caption",
"text": "установить пароль"
},
"$:/language/Buttons/Encryption/SetPassword/Hint": {
"title": "$:/language/Buttons/Encryption/SetPassword/Hint",
"text": "Установить пароль и включить шифрование"
},
"$:/language/Buttons/ExportPage/Caption": {
"title": "$:/language/Buttons/ExportPage/Caption",
"text": "экспортировать всё"
},
"$:/language/Buttons/ExportPage/Hint": {
"title": "$:/language/Buttons/ExportPage/Hint",
"text": "Экспортировать все тиддлеры"
},
"$:/language/Buttons/ExportTiddler/Caption": {
"title": "$:/language/Buttons/ExportTiddler/Caption",
"text": "экспорт тиддлера"
},
"$:/language/Buttons/ExportTiddler/Hint": {
"title": "$:/language/Buttons/ExportTiddler/Hint",
"text": "Экспорт тиддлера"
},
"$:/language/Buttons/ExportTiddlers/Caption": {
"title": "$:/language/Buttons/ExportTiddlers/Caption",
"text": "экспорт тиддлеров"
},
"$:/language/Buttons/ExportTiddlers/Hint": {
"title": "$:/language/Buttons/ExportTiddlers/Hint",
"text": "Экспорт тиддлеров"
},
"$:/language/Buttons/FullScreen/Caption": {
"title": "$:/language/Buttons/FullScreen/Caption",
"text": "полный экран"
},
"$:/language/Buttons/FullScreen/Hint": {
"title": "$:/language/Buttons/FullScreen/Hint",
"text": "Включить или выключить полноэкранный режим"
},
"$:/language/Buttons/Help/Caption": {
"title": "$:/language/Buttons/Help/Caption",
"text": "помощь"
},
"$:/language/Buttons/Help/Hint": {
"title": "$:/language/Buttons/Help/Hint",
"text": "Показать панель помощи"
},
"$:/language/Buttons/HideSideBar/Caption": {
"title": "$:/language/Buttons/HideSideBar/Caption",
"text": "скрыть боковую панель"
},
"$:/language/Buttons/HideSideBar/Hint": {
"title": "$:/language/Buttons/HideSideBar/Hint",
"text": "Скрыть боковую панель"
},
"$:/language/Buttons/Home/Caption": {
"title": "$:/language/Buttons/Home/Caption",
"text": "главная"
},
"$:/language/Buttons/Home/Hint": {
"title": "$:/language/Buttons/Home/Hint",
"text": "Открыть заметки по умолчанию"
},
"$:/language/Buttons/Import/Caption": {
"title": "$:/language/Buttons/Import/Caption",
"text": "импортировать"
},
"$:/language/Buttons/Import/Hint": {
"title": "$:/language/Buttons/Import/Hint",
"text": "Импорт файлов"
},
"$:/language/Buttons/Info/Caption": {
"title": "$:/language/Buttons/Info/Caption",
"text": "информация"
},
"$:/language/Buttons/Info/Hint": {
"title": "$:/language/Buttons/Info/Hint",
"text": "Показать информацию об этой заметке"
},
"$:/language/Buttons/Language/Caption": {
"title": "$:/language/Buttons/Language/Caption",
"text": "язык"
},
"$:/language/Buttons/Language/Hint": {
"title": "$:/language/Buttons/Language/Hint",
"text": "Выбрать язык пользовательского интерфейса"
},
"$:/language/Buttons/More/Caption": {
"title": "$:/language/Buttons/More/Caption",
"text": "ещё"
},
"$:/language/Buttons/More/Hint": {
"title": "$:/language/Buttons/More/Hint",
"text": "Другие действия"
},
"$:/language/Buttons/NewHere/Caption": {
"title": "$:/language/Buttons/NewHere/Caption",
"text": "новая заметка здесь"
},
"$:/language/Buttons/NewHere/Hint": {
"title": "$:/language/Buttons/NewHere/Hint",
"text": "Создать новую заметку, помеченную этой заметкой"
},
"$:/language/Buttons/NewJournal/Caption": {
"title": "$:/language/Buttons/NewJournal/Caption",
"text": "дневник"
},
"$:/language/Buttons/NewJournal/Hint": {
"title": "$:/language/Buttons/NewJournal/Hint",
"text": "Создать новую заметку в дневник"
},
"$:/language/Buttons/NewJournalHere/Caption": {
"title": "$:/language/Buttons/NewJournalHere/Caption",
"text": "дневник здесь"
},
"$:/language/Buttons/NewJournalHere/Hint": {
"title": "$:/language/Buttons/NewJournalHere/Hint",
"text": "Создать новую заметку в дневник, помеченную этой заметкой"
},
"$:/language/Buttons/NewTiddler/Caption": {
"title": "$:/language/Buttons/NewTiddler/Caption",
"text": "новая заметка"
},
"$:/language/Buttons/NewTiddler/Hint": {
"title": "$:/language/Buttons/NewTiddler/Hint",
"text": "Создать новую заметку"
},
"$:/language/Buttons/OpenWindow/Caption": {
"title": "$:/language/Buttons/OpenWindow/Caption",
"text": "открыть в новом окне"
},
"$:/language/Buttons/OpenWindow/Hint": {
"title": "$:/language/Buttons/OpenWindow/Hint",
"text": "Открыть тиддлер в новом окне"
},
"$:/language/Buttons/Palette/Caption": {
"title": "$:/language/Buttons/Palette/Caption",
"text": "цветовая схема"
},
"$:/language/Buttons/Palette/Hint": {
"title": "$:/language/Buttons/Palette/Hint",
"text": "Выбрать цветовую схему"
},
"$:/language/Buttons/Permalink/Caption": {
"title": "$:/language/Buttons/Permalink/Caption",
"text": "прямая ссылка"
},
"$:/language/Buttons/Permalink/Hint": {
"title": "$:/language/Buttons/Permalink/Hint",
"text": "Показать прямую ссылку на заметку в адресной строке браузера"
},
"$:/language/Buttons/Permaview/Caption": {
"title": "$:/language/Buttons/Permaview/Caption",
"text": "прямая ссылка"
},
"$:/language/Buttons/Permaview/Hint": {
"title": "$:/language/Buttons/Permaview/Hint",
"text": "Показать прямую ссылку на открытые заметки в адресной строке браузера"
},
"$:/language/Buttons/Refresh/Caption": {
"title": "$:/language/Buttons/Refresh/Caption",
"text": "oбновить"
},
"$:/language/Buttons/Refresh/Hint": {
"title": "$:/language/Buttons/Refresh/Hint",
"text": "Выполнить обновление страницы"
},
"$:/language/Buttons/Save/Caption": {
"title": "$:/language/Buttons/Save/Caption",
"text": "сохранить"
},
"$:/language/Buttons/Save/Hint": {
"title": "$:/language/Buttons/Save/Hint",
"text": "Сохранить заметку"
},
"$:/language/Buttons/SaveWiki/Caption": {
"title": "$:/language/Buttons/SaveWiki/Caption",
"text": "сохранить изменения"
},
"$:/language/Buttons/SaveWiki/Hint": {
"title": "$:/language/Buttons/SaveWiki/Hint",
"text": "Сохранить изменения"
},
"$:/language/Buttons/ShowSideBar/Caption": {
"title": "$:/language/Buttons/ShowSideBar/Caption",
"text": "показать боковую панель"
},
"$:/language/Buttons/ShowSideBar/Hint": {
"title": "$:/language/Buttons/ShowSideBar/Hint",
"text": "Показать боковую панель"
},
"$:/language/Buttons/StoryView/Caption": {
"title": "$:/language/Buttons/StoryView/Caption",
"text": "отображение заметок"
},
"$:/language/Buttons/StoryView/Hint": {
"title": "$:/language/Buttons/StoryView/Hint",
"text": "Выбрать способ отображения заметок"
},
"$:/language/Buttons/TagManager/Caption": {
"title": "$:/language/Buttons/TagManager/Caption",
"text": "управление метками"
},
"$:/language/Buttons/TagManager/Hint": {
"title": "$:/language/Buttons/TagManager/Hint",
"text": "Открыть панель управления метками"
},
"$:/language/Buttons/Theme/Caption": {
"title": "$:/language/Buttons/Theme/Caption",
"text": "тема"
},
"$:/language/Buttons/Theme/Hint": {
"title": "$:/language/Buttons/Theme/Hint",
"text": "Выбрать тему"
},
"$:/language/ControlPanel/Advanced/Caption": {
"title": "$:/language/ControlPanel/Advanced/Caption",
"text": "Расширенные"
},
"$:/language/ControlPanel/Advanced/Hint": {
"title": "$:/language/ControlPanel/Advanced/Hint",
"text": "Системные сведения об этой TiddlyWiki"
},
"$:/language/ControlPanel/Appearance/Caption": {
"title": "$:/language/ControlPanel/Appearance/Caption",
"text": "Внешний вид"
},
"$:/language/ControlPanel/Appearance/Hint": {
"title": "$:/language/ControlPanel/Appearance/Hint",
"text": "Способы настройки внешнего вида TiddlyWiki."
},
"$:/language/ControlPanel/Basics/AnimDuration/Prompt": {
"title": "$:/language/ControlPanel/Basics/AnimDuration/Prompt",
"text": "Продолжительность анимации:"
},
"$:/language/ControlPanel/Basics/Caption": {
"title": "$:/language/ControlPanel/Basics/Caption",
"text": "Основные"
},
"$:/language/ControlPanel/Basics/DefaultTiddlers/BottomHint": {
"title": "$:/language/ControlPanel/Basics/DefaultTiddlers/BottomHint",
"text": "Заметки, содержащие пробелы нужно взять в [[двойные квадратные скобки]]. А также можно возвращать <$button set=\"$:/DefaultTiddlers\" setTo=\"[list[$:/StoryList]]\">открытые ранее заметки</$button>"
},
"$:/language/ControlPanel/Basics/DefaultTiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/DefaultTiddlers/Prompt",
"text": "Открывать при старте:"
},
"$:/language/ControlPanel/Basics/DefaultTiddlers/TopHint": {
"title": "$:/language/ControlPanel/Basics/DefaultTiddlers/TopHint",
"text": "Выберите заметки открытые при запуске:"
},
"$:/language/ControlPanel/Basics/Language/Prompt": {
"title": "$:/language/ControlPanel/Basics/Language/Prompt",
"text": "Привет! Текущий язык:"
},
"$:/language/ControlPanel/Basics/NewJournal/Tags/Prompt": {
"title": "$:/language/ControlPanel/Basics/NewJournal/Tags/Prompt",
"text": "Метки новых заметок дневника"
},
"$:/language/ControlPanel/Basics/NewJournal/Title/Prompt": {
"title": "$:/language/ControlPanel/Basics/NewJournal/Title/Prompt",
"text": "Заголовок новых заметок дневника"
},
"$:/language/ControlPanel/Basics/OverriddenShadowTiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/OverriddenShadowTiddlers/Prompt",
"text": "Количество переопределённых встроенных заметок:"
},
"$:/language/ControlPanel/Basics/ShadowTiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/ShadowTiddlers/Prompt",
"text": "Количество встроенных заметок:"
},
"$:/language/ControlPanel/Basics/Subtitle/Prompt": {
"title": "$:/language/ControlPanel/Basics/Subtitle/Prompt",
"text": "Подзаголовок:"
},
"$:/language/ControlPanel/Basics/SystemTiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/SystemTiddlers/Prompt",
"text": "Количество системных заметок:"
},
"$:/language/ControlPanel/Basics/Tags/Prompt": {
"title": "$:/language/ControlPanel/Basics/Tags/Prompt",
"text": "Количество меток:"
},
"$:/language/ControlPanel/Basics/Tiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/Tiddlers/Prompt",
"text": "Количество заметок:"
},
"$:/language/ControlPanel/Basics/Title/Prompt": {
"title": "$:/language/ControlPanel/Basics/Title/Prompt",
"text": "Заголовок этой ~TiddlyWiki:"
},
"$:/language/ControlPanel/Basics/Username/Prompt": {
"title": "$:/language/ControlPanel/Basics/Username/Prompt",
"text": "Имя пользователя для подписи под изменениями:"
},
"$:/language/ControlPanel/Basics/Version/Prompt": {
"title": "$:/language/ControlPanel/Basics/Version/Prompt",
"text": "Версия ~TiddlyWiki:"
},
"$:/language/ControlPanel/EditorTypes/Caption": {
"title": "$:/language/ControlPanel/EditorTypes/Caption",
"text": "Редакторы"
},
"$:/language/ControlPanel/EditorTypes/Editor/Caption": {
"title": "$:/language/ControlPanel/EditorTypes/Editor/Caption",
"text": "Редактор"
},
"$:/language/ControlPanel/EditorTypes/Hint": {
"title": "$:/language/ControlPanel/EditorTypes/Hint",
"text": "Эти заметки определяют, какой редактор используется для конкретного типа заметки."
},
"$:/language/ControlPanel/EditorTypes/Type/Caption": {
"title": "$:/language/ControlPanel/EditorTypes/Type/Caption",
"text": "Тип содержимого"
},
"$:/language/ControlPanel/Info/Caption": {
"title": "$:/language/ControlPanel/Info/Caption",
"text": "Сведения"
},
"$:/language/ControlPanel/Info/Hint": {
"title": "$:/language/ControlPanel/Info/Hint",
"text": "Сведения об этой TiddlyWiki"
},
"$:/language/ControlPanel/LoadedModules/Caption": {
"title": "$:/language/ControlPanel/LoadedModules/Caption",
"text": "Загруженные модули"
},
"$:/language/ControlPanel/LoadedModules/Hint": {
"title": "$:/language/ControlPanel/LoadedModules/Hint",
"text": "Это загруженные в настоящий момент модули, ссылающиеся на их исходные заметки. Модули, обозначенные курсивом, не имеют исходных заметок (обычно, потому что они были установлены во время процесса загрузки)."
},
"$:/language/ControlPanel/Palette/Caption": {
"title": "$:/language/ControlPanel/Palette/Caption",
"text": "Цветовая схема"
},
"$:/language/ControlPanel/Palette/Editor/Clone/Caption": {
"title": "$:/language/ControlPanel/Palette/Editor/Clone/Caption",
"text": "скопировать"
},
"$:/language/ControlPanel/Palette/Editor/Clone/Prompt": {
"title": "$:/language/ControlPanel/Palette/Editor/Clone/Prompt",
"text": "Перед редактированием рекомендуется скопировать встроенную цветовую схему"
},
"$:/language/ControlPanel/Palette/Editor/Prompt": {
"title": "$:/language/ControlPanel/Palette/Editor/Prompt",
"text": "Редактирование"
},
"$:/language/ControlPanel/Palette/Editor/Prompt/Modified": {
"title": "$:/language/ControlPanel/Palette/Editor/Prompt/Modified",
"text": "Эта встроенная цветовая схема изменена"
},
"$:/language/ControlPanel/Palette/Editor/Reset/Caption": {
"title": "$:/language/ControlPanel/Palette/Editor/Reset/Caption",
"text": "сброс"
},
"$:/language/ControlPanel/Palette/HideEditor/Caption": {
"title": "$:/language/ControlPanel/Palette/HideEditor/Caption",
"text": "скрыть редактор"
},
"$:/language/ControlPanel/Palette/Prompt": {
"title": "$:/language/ControlPanel/Palette/Prompt",
"text": "Текущая цветовая схема:"
},
"$:/language/ControlPanel/Palette/ShowEditor/Caption": {
"title": "$:/language/ControlPanel/Palette/ShowEditor/Caption",
"text": "показать редактор"
},
"$:/language/ControlPanel/Plugins/Add/Caption": {
"title": "$:/language/ControlPanel/Plugins/Add/Caption",
"text": "Другие плагины"
},
"$:/language/ControlPanel/Plugins/Add/Hint": {
"title": "$:/language/ControlPanel/Plugins/Add/Hint",
"text": "Установить официальные плагины"
},
"$:/language/ControlPanel/Plugins/Caption": {
"title": "$:/language/ControlPanel/Plugins/Caption",
"text": "Плагины"
},
"$:/language/ControlPanel/Plugins/Disable/Caption": {
"title": "$:/language/ControlPanel/Plugins/Disable/Caption",
"text": "выключить"
},
"$:/language/ControlPanel/Plugins/Disable/Hint": {
"title": "$:/language/ControlPanel/Plugins/Disable/Hint",
"text": "Выключить этот плагин"
},
"$:/language/ControlPanel/Plugins/Disabled/Status": {
"title": "$:/language/ControlPanel/Plugins/Disabled/Status",
"text": "(выключен)"
},
"$:/language/ControlPanel/Plugins/Empty/Hint": {
"title": "$:/language/ControlPanel/Plugins/Empty/Hint",
"text": "Нет"
},
"$:/language/ControlPanel/Plugins/Enable/Caption": {
"title": "$:/language/ControlPanel/Plugins/Enable/Caption",
"text": "включить"
},
"$:/language/ControlPanel/Plugins/Enable/Hint": {
"title": "$:/language/ControlPanel/Plugins/Enable/Hint",
"text": "Выключить этот плагин"
},
"$:/language/ControlPanel/Plugins/Installed/Hint": {
"title": "$:/language/ControlPanel/Plugins/Installed/Hint",
"text": "Список установленных плагинов:"
},
"$:/language/ControlPanel/Plugins/Language/Prompt": {
"title": "$:/language/ControlPanel/Plugins/Language/Prompt",
"text": "Языки"
},
"$:/language/ControlPanel/Plugins/Languages/Caption": {
"title": "$:/language/ControlPanel/Plugins/Languages/Caption",
"text": "Языки"
},
"$:/language/ControlPanel/Plugins/Languages/Hint": {
"title": "$:/language/ControlPanel/Plugins/Languages/Hint",
"text": "Плагины языковых пакетов"
},
"$:/language/ControlPanel/Plugins/Plugin/Prompt": {
"title": "$:/language/ControlPanel/Plugins/Plugin/Prompt",
"text": "Плагины"
},
"$:/language/ControlPanel/Plugins/Plugins/Caption": {
"title": "$:/language/ControlPanel/Plugins/Plugins/Caption",
"text": "Плагины"
},
"$:/language/ControlPanel/Plugins/Plugins/Hint": {
"title": "$:/language/ControlPanel/Plugins/Plugins/Hint",
"text": "Плагины"
},
"$:/language/ControlPanel/Plugins/Theme/Prompt": {
"title": "$:/language/ControlPanel/Plugins/Theme/Prompt",
"text": "Темы"
},
"$:/language/ControlPanel/Plugins/Themes/Caption": {
"title": "$:/language/ControlPanel/Plugins/Themes/Caption",
"text": "Темы"
},
"$:/language/ControlPanel/Plugins/Themes/Hint": {
"title": "$:/language/ControlPanel/Plugins/Themes/Hint",
"text": "Плагины тем"
},
"$:/language/ControlPanel/Saving/Caption": {
"title": "$:/language/ControlPanel/Saving/Caption",
"text": "Сохранение"
},
"$:/language/ControlPanel/Saving/Heading": {
"title": "$:/language/ControlPanel/Saving/Heading",
"text": "Сохранение"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Advanced/Heading": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Advanced/Heading",
"text": "Расширенные настройки"
},
"$:/language/ControlPanel/Saving/TiddlySpot/BackupDir": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/BackupDir",
"text": "Каталог для резервной копии"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Backups": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Backups",
"text": "Резервная копия"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Description": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Description",
"text": "Эти настройки нужны для сохранения на http://tiddlyspot.com или совместимый с ним удаленный сервер"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Filename": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Filename",
"text": "Имя файла для загрузки"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Heading": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Heading",
"text": "~TiddlySpot"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Hint": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Hint",
"text": "//URL сервера по умолчанию - `http://<wikiname>.tiddlyspot.com/store.cgi`. Его можно указать если используется другой сервер//"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Password": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Password",
"text": "Пароль"
},
"$:/language/ControlPanel/Saving/TiddlySpot/ServerURL": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/ServerURL",
"text": "URL сервера"
},
"$:/language/ControlPanel/Saving/TiddlySpot/UploadDir": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/UploadDir",
"text": "Каталог загрузки"
},
"$:/language/ControlPanel/Saving/TiddlySpot/UserName": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/UserName",
"text": "Название Wiki"
},
"$:/language/ControlPanel/Settings/AutoSave/Caption": {
"title": "$:/language/ControlPanel/Settings/AutoSave/Caption",
"text": "Автосохранение"
},
"$:/language/ControlPanel/Settings/AutoSave/Disabled/Description": {
"title": "$:/language/ControlPanel/Settings/AutoSave/Disabled/Description",
"text": "Не сохранять изменения автоматически"
},
"$:/language/ControlPanel/Settings/AutoSave/Enabled/Description": {
"title": "$:/language/ControlPanel/Settings/AutoSave/Enabled/Description",
"text": "Сохранять изменения автоматически"
},
"$:/language/ControlPanel/Settings/AutoSave/Hint": {
"title": "$:/language/ControlPanel/Settings/AutoSave/Hint",
"text": "Сохранять изменения автоматически в процессе редактирования"
},
"$:/language/ControlPanel/Settings/Caption": {
"title": "$:/language/ControlPanel/Settings/Caption",
"text": "Настройки"
},
"$:/language/ControlPanel/Settings/DefaultSidebarTab/Caption": {
"title": "$:/language/ControlPanel/Settings/DefaultSidebarTab/Caption",
"text": "Стандартная боковая панель"
},
"$:/language/ControlPanel/Settings/DefaultSidebarTab/Hint": {
"title": "$:/language/ControlPanel/Settings/DefaultSidebarTab/Hint",
"text": "Определяет какую боковую панель показывать по умолчанию"
},
"$:/language/ControlPanel/Settings/Hint": {
"title": "$:/language/ControlPanel/Settings/Hint",
"text": "Эти настройки позволяют изменить поведение TiddlyWiki."
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/Caption": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/Caption",
"text": "Открытие Тиддлера"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/InsideRiver/Hint": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/InsideRiver/Hint",
"text": "По ссылке //из// открытых тиддлеров"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAbove": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAbove",
"text": "Открывать выше открытого тиддлера"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtBottom": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtBottom",
"text": "Открывать ниже всех открытых тиддлеров"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtTop": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtTop",
"text": "Открывать выше всех открытых тиддлеров"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenBelow": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenBelow",
"text": "Открывать ниже открытого тиддлера"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OutsideRiver/Hint": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OutsideRiver/Hint",
"text": "По ссылке //вне// открытых тиддлеров"
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/Caption": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Caption",
"text": "Адресная строка браузера"
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/Hint": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Hint",
"text": "Поведение адресной строки браузера при открытии заметки:"
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/No/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/No/Description",
"text": "Не изменять адресную строку"
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/Permalink/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Permalink/Description",
"text": "Включить целевую заметку"
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/Permaview/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Permaview/Description",
"text": "Включить целевую заметку и все открытые заметки"
},
"$:/language/ControlPanel/Settings/NavigationHistory/Caption": {
"title": "$:/language/ControlPanel/Settings/NavigationHistory/Caption",
"text": "История браузера"
},
"$:/language/ControlPanel/Settings/NavigationHistory/Hint": {
"title": "$:/language/ControlPanel/Settings/NavigationHistory/Hint",
"text": "Обновлять историю браузера при открытии заметки:"
},
"$:/language/ControlPanel/Settings/NavigationHistory/No/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationHistory/No/Description",
"text": "Не обновлять историю"
},
"$:/language/ControlPanel/Settings/NavigationHistory/Yes/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationHistory/Yes/Description",
"text": "Обновлять историю"
},
"$:/language/ControlPanel/Settings/TitleLinks/Caption": {
"title": "$:/language/ControlPanel/Settings/TitleLinks/Caption",
"text": "Заголовки Тиддлеров"
},
"$:/language/ControlPanel/Settings/TitleLinks/Hint": {
"title": "$:/language/ControlPanel/Settings/TitleLinks/Hint",
"text": "Выборочно показывает заголовки тиддеров как ссылки"
},
"$:/language/ControlPanel/Settings/TitleLinks/No/Description": {
"title": "$:/language/ControlPanel/Settings/TitleLinks/No/Description",
"text": "Не показывать заголовки тиддлеров как ссылки"
},
"$:/language/ControlPanel/Settings/TitleLinks/Yes/Description": {
"title": "$:/language/ControlPanel/Settings/TitleLinks/Yes/Description",
"text": "Показывать заголовки тиддлеров как ссылки"
},
"$:/language/ControlPanel/Settings/ToolbarButtons/Caption": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtons/Caption",
"text": "Кнопки"
},
"$:/language/ControlPanel/Settings/ToolbarButtons/Hint": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtons/Hint",
"text": "Внешний вид кнопок:"
},
"$:/language/ControlPanel/Settings/ToolbarButtons/Icons/Description": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtons/Icons/Description",
"text": "Показывать значок"
},
"$:/language/ControlPanel/Settings/ToolbarButtons/Text/Description": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtons/Text/Description",
"text": "Показывать текст"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Caption": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Caption",
"text": "Стиль кнопок панелей"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Hint": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Hint",
"text": "Выберите стиль кнопок панелей:"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Borderless": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Borderless",
"text": "Без границ"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Boxed": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Boxed",
"text": "Внутри квадрата"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Rounded": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Rounded",
"text": "Внутри круга"
},
"$:/language/ControlPanel/StoryView/Caption": {
"title": "$:/language/ControlPanel/StoryView/Caption",
"text": "Поведение открытых заметок"
},
"$:/language/ControlPanel/StoryView/Prompt": {
"title": "$:/language/ControlPanel/StoryView/Prompt",
"text": "Текущий вид:"
},
"$:/language/ControlPanel/Theme/Caption": {
"title": "$:/language/ControlPanel/Theme/Caption",
"text": "Тема"
},
"$:/language/ControlPanel/Theme/Prompt": {
"title": "$:/language/ControlPanel/Theme/Prompt",
"text": "Текущая тема:"
},
"$:/language/ControlPanel/TiddlerFields/Caption": {
"title": "$:/language/ControlPanel/TiddlerFields/Caption",
"text": "Поля заметок"
},
"$:/language/ControlPanel/TiddlerFields/Hint": {
"title": "$:/language/ControlPanel/TiddlerFields/Hint",
"text": "Это полный набор полей заметок (включая системные заметки, но без встроенных)."
},
"$:/language/ControlPanel/Toolbars/Caption": {
"title": "$:/language/ControlPanel/Toolbars/Caption",
"text": "Панели инструментов"
},
"$:/language/ControlPanel/Toolbars/EditToolbar/Caption": {
"title": "$:/language/ControlPanel/Toolbars/EditToolbar/Caption",
"text": "При редактировании"
},
"$:/language/ControlPanel/Toolbars/EditToolbar/Hint": {
"title": "$:/language/ControlPanel/Toolbars/EditToolbar/Hint",
"text": "Выберите кнопки, отображаемые во время редактирования заметок"
},
"$:/language/ControlPanel/Toolbars/Hint": {
"title": "$:/language/ControlPanel/Toolbars/Hint",
"text": "Выберите отображаемые кнопки"
},
"$:/language/ControlPanel/Toolbars/PageControls/Caption": {
"title": "$:/language/ControlPanel/Toolbars/PageControls/Caption",
"text": "Боковой панели"
},
"$:/language/ControlPanel/Toolbars/PageControls/Hint": {
"title": "$:/language/ControlPanel/Toolbars/PageControls/Hint",
"text": "Выберите кнопки, отображаемые на боковой панели"
},
"$:/language/ControlPanel/Toolbars/ViewToolbar/Caption": {
"title": "$:/language/ControlPanel/Toolbars/ViewToolbar/Caption",
"text": "При просмотре"
},
"$:/language/ControlPanel/Toolbars/ViewToolbar/Hint": {
"title": "$:/language/ControlPanel/Toolbars/ViewToolbar/Hint",
"text": "Выберите кнопки, отображаемые во время просмотра заметок"
},
"$:/language/ControlPanel/Tools/Download/Full/Caption": {
"title": "$:/language/ControlPanel/Tools/Download/Full/Caption",
"text": "Скачать wiki целиком"
},
"$:/core/readme": {
"title": "$:/core/readme",
"text": "Этот плагин содержит компоненты ядра TiddlyWiki, содержащие:\n\n* коды модуля JavaScript\n* Изображения\n* Шаблоны, необходимые для создания пользовательского интерфейса TiddlyWiki\n* British English (en-GB) переводы локализуемых строк используемых в ядре"
},
"$:/language/Date/Long/Day/0": {
"title": "$:/language/Date/Long/Day/0",
"text": "Воскресенье"
},
"$:/language/Date/Long/Day/1": {
"title": "$:/language/Date/Long/Day/1",
"text": "Понедельник"
},
"$:/language/Date/Long/Day/2": {
"title": "$:/language/Date/Long/Day/2",
"text": "Вторник"
},
"$:/language/Date/Long/Day/3": {
"title": "$:/language/Date/Long/Day/3",
"text": "Среда"
},
"$:/language/Date/Long/Day/4": {
"title": "$:/language/Date/Long/Day/4",
"text": "Четверг"
},
"$:/language/Date/Long/Day/5": {
"title": "$:/language/Date/Long/Day/5",
"text": "Пятница"
},
"$:/language/Date/Long/Day/6": {
"title": "$:/language/Date/Long/Day/6",
"text": "Суббота"
},
"$:/language/Date/Long/Month/1": {
"title": "$:/language/Date/Long/Month/1",
"text": "января"
},
"$:/language/Date/Long/Month/2": {
"title": "$:/language/Date/Long/Month/2",
"text": "февраля"
},
"$:/language/Date/Long/Month/3": {
"title": "$:/language/Date/Long/Month/3",
"text": "марта"
},
"$:/language/Date/Long/Month/4": {
"title": "$:/language/Date/Long/Month/4",
"text": "апреля"
},
"$:/language/Date/Long/Month/5": {
"title": "$:/language/Date/Long/Month/5",
"text": "мая"
},
"$:/language/Date/Long/Month/6": {
"title": "$:/language/Date/Long/Month/6",
"text": "июня"
},
"$:/language/Date/Long/Month/7": {
"title": "$:/language/Date/Long/Month/7",
"text": "июля"
},
"$:/language/Date/Long/Month/8": {
"title": "$:/language/Date/Long/Month/8",
"text": "августа"
},
"$:/language/Date/Long/Month/9": {
"title": "$:/language/Date/Long/Month/9",
"text": "сентября"
},
"$:/language/Date/Long/Month/10": {
"title": "$:/language/Date/Long/Month/10",
"text": "октября"
},
"$:/language/Date/Long/Month/11": {
"title": "$:/language/Date/Long/Month/11",
"text": "ноября"
},
"$:/language/Date/Long/Month/12": {
"title": "$:/language/Date/Long/Month/12",
"text": "декабря"
},
"$:/language/Date/Period/am": {
"title": "$:/language/Date/Period/am",
"text": "до полудня"
},
"$:/language/Date/Period/pm": {
"title": "$:/language/Date/Period/pm",
"text": "после полудня"
},
"$:/language/Date/Short/Day/0": {
"title": "$:/language/Date/Short/Day/0",
"text": "Вс"
},
"$:/language/Date/Short/Day/1": {
"title": "$:/language/Date/Short/Day/1",
"text": "Пн"
},
"$:/language/Date/Short/Day/2": {
"title": "$:/language/Date/Short/Day/2",
"text": "Вт"
},
"$:/language/Date/Short/Day/3": {
"title": "$:/language/Date/Short/Day/3",
"text": "Ср"
},
"$:/language/Date/Short/Day/4": {
"title": "$:/language/Date/Short/Day/4",
"text": "Чт"
},
"$:/language/Date/Short/Day/5": {
"title": "$:/language/Date/Short/Day/5",
"text": "Пт"
},
"$:/language/Date/Short/Day/6": {
"title": "$:/language/Date/Short/Day/6",
"text": "Сб"
},
"$:/language/Date/Short/Month/1": {
"title": "$:/language/Date/Short/Month/1",
"text": "янв"
},
"$:/language/Date/Short/Month/2": {
"title": "$:/language/Date/Short/Month/2",
"text": "фев"
},
"$:/language/Date/Short/Month/3": {
"title": "$:/language/Date/Short/Month/3",
"text": "мрт"
},
"$:/language/Date/Short/Month/4": {
"title": "$:/language/Date/Short/Month/4",
"text": "апр"
},
"$:/language/Date/Short/Month/5": {
"title": "$:/language/Date/Short/Month/5",
"text": "май"
},
"$:/language/Date/Short/Month/6": {
"title": "$:/language/Date/Short/Month/6",
"text": "июн"
},
"$:/language/Date/Short/Month/7": {
"title": "$:/language/Date/Short/Month/7",
"text": "июл"
},
"$:/language/Date/Short/Month/8": {
"title": "$:/language/Date/Short/Month/8",
"text": "авг"
},
"$:/language/Date/Short/Month/9": {
"title": "$:/language/Date/Short/Month/9",
"text": "сен"
},
"$:/language/Date/Short/Month/10": {
"title": "$:/language/Date/Short/Month/10",
"text": "окт"
},
"$:/language/Date/Short/Month/11": {
"title": "$:/language/Date/Short/Month/11",
"text": "нбр"
},
"$:/language/Date/Short/Month/12": {
"title": "$:/language/Date/Short/Month/12",
"text": "дек"
},
"$:/language/Date/DaySuffix/1": {
"title": "$:/language/Date/DaySuffix/1",
"text": "-й"
},
"$:/language/Date/DaySuffix/10": {
"title": "$:/language/Date/DaySuffix/10",
"text": "-й"
},
"$:/language/Date/DaySuffix/11": {
"title": "$:/language/Date/DaySuffix/11",
"text": "-й"
},
"$:/language/Date/DaySuffix/12": {
"title": "$:/language/Date/DaySuffix/12",
"text": "-й"
},
"$:/language/Date/DaySuffix/13": {
"title": "$:/language/Date/DaySuffix/13",
"text": "-й"
},
"$:/language/Date/DaySuffix/14": {
"title": "$:/language/Date/DaySuffix/14",
"text": "-й"
},
"$:/language/Date/DaySuffix/15": {
"title": "$:/language/Date/DaySuffix/15",
"text": "-й"
},
"$:/language/Date/DaySuffix/16": {
"title": "$:/language/Date/DaySuffix/16",
"text": "-й"
},
"$:/language/Date/DaySuffix/17": {
"title": "$:/language/Date/DaySuffix/17",
"text": "-й"
},
"$:/language/Date/DaySuffix/18": {
"title": "$:/language/Date/DaySuffix/18",
"text": "-й"
},
"$:/language/Date/DaySuffix/19": {
"title": "$:/language/Date/DaySuffix/19",
"text": "-й"
},
"$:/language/Date/DaySuffix/2": {
"title": "$:/language/Date/DaySuffix/2",
"text": "-й"
},
"$:/language/Date/DaySuffix/20": {
"title": "$:/language/Date/DaySuffix/20",
"text": "-й"
},
"$:/language/Date/DaySuffix/21": {
"title": "$:/language/Date/DaySuffix/21",
"text": "-й"
},
"$:/language/Date/DaySuffix/22": {
"title": "$:/language/Date/DaySuffix/22",
"text": "-й"
},
"$:/language/Date/DaySuffix/23": {
"title": "$:/language/Date/DaySuffix/23",
"text": "-й"
},
"$:/language/Date/DaySuffix/24": {
"title": "$:/language/Date/DaySuffix/24",
"text": "-й"
},
"$:/language/Date/DaySuffix/25": {
"title": "$:/language/Date/DaySuffix/25",
"text": "-й"
},
"$:/language/Date/DaySuffix/26": {
"title": "$:/language/Date/DaySuffix/26",
"text": "-й"
},
"$:/language/Date/DaySuffix/27": {
"title": "$:/language/Date/DaySuffix/27",
"text": "-й"
},
"$:/language/Date/DaySuffix/28": {
"title": "$:/language/Date/DaySuffix/28",
"text": "-й"
},
"$:/language/Date/DaySuffix/29": {
"title": "$:/language/Date/DaySuffix/29",
"text": "-й"
},
"$:/language/Date/DaySuffix/3": {
"title": "$:/language/Date/DaySuffix/3",
"text": "-й"
},
"$:/language/Date/DaySuffix/30": {
"title": "$:/language/Date/DaySuffix/30",
"text": "-й"
},
"$:/language/Date/DaySuffix/31": {
"title": "$:/language/Date/DaySuffix/31",
"text": "-й"
},
"$:/language/Date/DaySuffix/4": {
"title": "$:/language/Date/DaySuffix/4",
"text": "-й"
},
"$:/language/Date/DaySuffix/5": {
"title": "$:/language/Date/DaySuffix/5",
"text": "-й"
},
"$:/language/Date/DaySuffix/6": {
"title": "$:/language/Date/DaySuffix/6",
"text": "-й"
},
"$:/language/Date/DaySuffix/7": {
"title": "$:/language/Date/DaySuffix/7",
"text": "-й"
},
"$:/language/Date/DaySuffix/8": {
"title": "$:/language/Date/DaySuffix/8",
"text": "-й"
},
"$:/language/Date/DaySuffix/9": {
"title": "$:/language/Date/DaySuffix/9",
"text": "-й"
},
"$:/language/RelativeDate/Future/Days": {
"title": "$:/language/RelativeDate/Future/Days",
"text": "через <<period>> дней"
},
"$:/language/RelativeDate/Future/Hours": {
"title": "$:/language/RelativeDate/Future/Hours",
"text": "через <<period>> часов"
},
"$:/language/RelativeDate/Future/Minutes": {
"title": "$:/language/RelativeDate/Future/Minutes",
"text": "через <<period>> минут"
},
"$:/language/RelativeDate/Future/Months": {
"title": "$:/language/RelativeDate/Future/Months",
"text": "через <<period>> месяцев"
},
"$:/language/RelativeDate/Future/Second": {
"title": "$:/language/RelativeDate/Future/Second",
"text": "через 1 секунду"
},
"$:/language/RelativeDate/Future/Seconds": {
"title": "$:/language/RelativeDate/Future/Seconds",
"text": "через <<period>> секунд"
},
"$:/language/RelativeDate/Future/Years": {
"title": "$:/language/RelativeDate/Future/Years",
"text": "через <<period>> лет"
},
"$:/language/RelativeDate/Past/Days": {
"title": "$:/language/RelativeDate/Past/Days",
"text": "<<period>> дней назад"
},
"$:/language/RelativeDate/Past/Hours": {
"title": "$:/language/RelativeDate/Past/Hours",
"text": "<<period>> часов назад"
},
"$:/language/RelativeDate/Past/Minutes": {
"title": "$:/language/RelativeDate/Past/Minutes",
"text": "<<period>> минут назад"
},
"$:/language/RelativeDate/Past/Months": {
"title": "$:/language/RelativeDate/Past/Months",
"text": "<<period>> месяцев назад"
},
"$:/language/RelativeDate/Past/Second": {
"title": "$:/language/RelativeDate/Past/Second",
"text": "1 секунду назад"
},
"$:/language/RelativeDate/Past/Seconds": {
"title": "$:/language/RelativeDate/Past/Seconds",
"text": "<<period>> секунд назад"
},
"$:/language/RelativeDate/Past/Years": {
"title": "$:/language/RelativeDate/Past/Years",
"text": "<<period>> лет назад"
},
"$:/language/Docs/Fields/_canonical_uri": {
"title": "$:/language/Docs/Fields/_canonical_uri",
"text": "Полный URI заметки, содержащей внешнюю картинку"
},
"$:/language/Docs/Fields/bag": {
"title": "$:/language/Docs/Fields/bag",
"text": "Название \"мешка\" заметки из TiddlyWeb"
},
"$:/language/Docs/Fields/caption": {
"title": "$:/language/Docs/Fields/caption",
"text": "Текст на вкладке или кнопке"
},
"$:/language/Docs/Fields/color": {
"title": "$:/language/Docs/Fields/color",
"text": "CSS значение цвета заметки"
},
"$:/language/Docs/Fields/component": {
"title": "$:/language/Docs/Fields/component",
"text": "Название компонента, ответственного за [[заметку-тревогу|AlertMechanism]]"
},
"$:/language/Docs/Fields/created": {
"title": "$:/language/Docs/Fields/created",
"text": "Дата создания заметки"
},
"$:/language/Docs/Fields/creator": {
"title": "$:/language/Docs/Fields/creator",
"text": "Имя создателя заметки"
},
"$:/language/Docs/Fields/current-tiddler": {
"title": "$:/language/Docs/Fields/current-tiddler",
"text": "Использовалось для хранения верхней заметки в [[списке истории|HistoryMechanism]]"
},
"$:/language/Docs/Fields/dependents": {
"title": "$:/language/Docs/Fields/dependents",
"text": "Для плагина, перечисляет названия зависимых плагинов"
},
"$:/language/Docs/Fields/description": {
"title": "$:/language/Docs/Fields/description",
"text": "Описание плагина или модального окна"
},
"$:/language/Docs/Fields/draft.of": {
"title": "$:/language/Docs/Fields/draft.of",
"text": "Для черновиков, содержит название редактируемой заметки"
},
"$:/language/Docs/Fields/draft.title": {
"title": "$:/language/Docs/Fields/draft.title",
"text": "Для черновиков, содержит новое название заметки"
},
"$:/language/Docs/Fields/footer": {
"title": "$:/language/Docs/Fields/footer",
"text": "Текст \"подвала\" мастера"
},
"$:/language/Docs/Fields/icon": {
"title": "$:/language/Docs/Fields/icon",
"text": "Название заметки, содержащей значок заметки"
},
"$:/language/Docs/Fields/library": {
"title": "$:/language/Docs/Fields/library",
"text": "Если \"yes\", то заметка сохраняется как библиотека JavaScript"
},
"$:/language/Docs/Fields/list": {
"title": "$:/language/Docs/Fields/list",
"text": "Упорядоченный список названий связанных заметок"
},
"$:/language/Docs/Fields/list-after": {
"title": "$:/language/Docs/Fields/list-after",
"text": "Название заметки, после которой эта заметка добавляется в упорядоченный список"
},
"$:/language/Docs/Fields/list-before": {
"title": "$:/language/Docs/Fields/list-before",
"text": "Название заметки, перед которой эта заметка добавляется в упорядоченный список; если это поле создано и имеет пустое значение, то заметка добавляется в начало списка"
},
"$:/language/Docs/Fields/modified": {
"title": "$:/language/Docs/Fields/modified",
"text": "Дата последнего изменения заметки"
},
"$:/language/Docs/Fields/modifier": {
"title": "$:/language/Docs/Fields/modifier",
"text": "Имя редактора заметки"
},
"$:/language/Docs/Fields/name": {
"title": "$:/language/Docs/Fields/name",
"text": "Название плагина"
},
"$:/language/Docs/Fields/plugin-priority": {
"title": "$:/language/Docs/Fields/plugin-priority",
"text": "Число - приоритет плагина"
},
"$:/language/Docs/Fields/plugin-type": {
"title": "$:/language/Docs/Fields/plugin-type",
"text": "Тип плагина"
},
"$:/language/Docs/Fields/released": {
"title": "$:/language/Docs/Fields/released",
"text": "Дата выпуска TiddlyWiki"
},
"$:/language/Docs/Fields/revision": {
"title": "$:/language/Docs/Fields/revision",
"text": "Версия заметки на сервере"
},
"$:/language/Docs/Fields/source": {
"title": "$:/language/Docs/Fields/source",
"text": "Исходный URL связанный с заметкой"
},
"$:/language/Docs/Fields/subtitle": {
"title": "$:/language/Docs/Fields/subtitle",
"text": "Подзаголовок мастера"
},
"$:/language/Docs/Fields/tags": {
"title": "$:/language/Docs/Fields/tags",
"text": "Список меток связанный с заметкой"
},
"$:/language/Docs/Fields/text": {
"title": "$:/language/Docs/Fields/text",
"text": "Содержимое заметки"
},
"$:/language/Docs/Fields/title": {
"title": "$:/language/Docs/Fields/title",
"text": "Уникальное название заметки"
},
"$:/language/Docs/Fields/type": {
"title": "$:/language/Docs/Fields/type",
"text": "Тип содержимого заметки"
},
"$:/language/Docs/Fields/version": {
"title": "$:/language/Docs/Fields/version",
"text": "Версия плагина"
},
"$:/language/Docs/ModuleTypes/animation": {
"title": "$:/language/Docs/ModuleTypes/animation",
"text": "Анимации для виджета Reveal."
},
"$:/language/Docs/ModuleTypes/command": {
"title": "$:/language/Docs/ModuleTypes/command",
"text": "Команды, исполняемые Node.js."
},
"$:/language/Docs/ModuleTypes/config": {
"title": "$:/language/Docs/ModuleTypes/config",
"text": "Данные для вставки в `$tw.config`."
},
"$:/language/Docs/ModuleTypes/filteroperator": {
"title": "$:/language/Docs/ModuleTypes/filteroperator",
"text": "Отдельные методы операторов фильтра."
},
"$:/language/Docs/ModuleTypes/global": {
"title": "$:/language/Docs/ModuleTypes/global",
"text": "Глобальные данные для вставки в `$tw`."
},
"$:/language/Docs/ModuleTypes/isfilteroperator": {
"title": "$:/language/Docs/ModuleTypes/isfilteroperator",
"text": "Операнды для оператора фильтра ''is''."
},
"$:/language/Docs/ModuleTypes/macro": {
"title": "$:/language/Docs/ModuleTypes/macro",
"text": "Макросы JavaScript."
},
"$:/language/Docs/ModuleTypes/parser": {
"title": "$:/language/Docs/ModuleTypes/parser",
"text": "Парсеры для разных типов содержимого."
},
"$:/language/Docs/ModuleTypes/saver": {
"title": "$:/language/Docs/ModuleTypes/saver",
"text": "Методы сохранения."
},
"$:/language/Docs/ModuleTypes/startup": {
"title": "$:/language/Docs/ModuleTypes/startup",
"text": "Функции, выполняемые при загрузке."
},
"$:/language/Docs/ModuleTypes/storyview": {
"title": "$:/language/Docs/ModuleTypes/storyview",
"text": "Настройка анимации и поведения виджета List."
},
"$:/language/Docs/ModuleTypes/tiddlerdeserializer": {
"title": "$:/language/Docs/ModuleTypes/tiddlerdeserializer",
"text": "Превращают разные типы содержимого в заметки."
},
"$:/language/Docs/ModuleTypes/tiddlerfield": {
"title": "$:/language/Docs/ModuleTypes/tiddlerfield",
"text": "Определяет поведение отдельных полей заметок."
},
"$:/language/Docs/ModuleTypes/tiddlermethod": {
"title": "$:/language/Docs/ModuleTypes/tiddlermethod",
"text": "Добавляет методы к прототипу заметки `$tw.Tiddler`."
},
"$:/language/Docs/ModuleTypes/upgrader": {
"title": "$:/language/Docs/ModuleTypes/upgrader",
"text": "Обработка заметок во время обновления/импорта."
},
"$:/language/Docs/ModuleTypes/utils": {
"title": "$:/language/Docs/ModuleTypes/utils",
"text": "Добавляет методы в `$tw.utils`."
},
"$:/language/Docs/ModuleTypes/utils-node": {
"title": "$:/language/Docs/ModuleTypes/utils-node",
"text": "Добавляет специфичные для Node.js методы в `$tw.utils`."
},
"$:/language/Docs/ModuleTypes/widget": {
"title": "$:/language/Docs/ModuleTypes/widget",
"text": "Виджеты отвечают за отображение и обновление DOM."
},
"$:/language/Docs/ModuleTypes/wikimethod": {
"title": "$:/language/Docs/ModuleTypes/wikimethod",
"text": "Добавляет методы в `$tw.Wiki`."
},
"$:/language/Docs/ModuleTypes/wikirule": {
"title": "$:/language/Docs/ModuleTypes/wikirule",
"text": "Отдельные правила для главного парсера WikiText."
},
"$:/language/Docs/PaletteColours/alert-background": {
"title": "$:/language/Docs/PaletteColours/alert-background",
"text": "Фон сообщения об ошибке"
},
"$:/language/Docs/PaletteColours/alert-border": {
"title": "$:/language/Docs/PaletteColours/alert-border",
"text": "Граница сообщения об ошибке"
},
"$:/language/Docs/PaletteColours/alert-highlight": {
"title": "$:/language/Docs/PaletteColours/alert-highlight",
"text": "Подсветка сообщения об ошибке"
},
"$:/language/Docs/PaletteColours/alert-muted-foreground": {
"title": "$:/language/Docs/PaletteColours/alert-muted-foreground",
"text": "Приглушенный цвет текста сообщения об ошибке"
},
"$:/language/Docs/PaletteColours/background": {
"title": "$:/language/Docs/PaletteColours/background",
"text": "Общий фон"
},
"$:/language/Docs/PaletteColours/blockquote-bar": {
"title": "$:/language/Docs/PaletteColours/blockquote-bar",
"text": "Оформление цитаты"
},
"$:/language/Docs/PaletteColours/button-background": {
"title": "$:/language/Docs/PaletteColours/button-background",
"text": "Фон кнопки по умолчанию"
},
"$:/language/Docs/PaletteColours/button-border": {
"title": "$:/language/Docs/PaletteColours/button-border",
"text": "Граница кнопки по умолчанию"
},
"$:/language/Docs/PaletteColours/button-foreground": {
"title": "$:/language/Docs/PaletteColours/button-foreground",
"text": "Цвет кнопки по умолчанию"
},
"$:/language/Docs/PaletteColours/code-background": {
"title": "$:/language/Docs/PaletteColours/code-background",
"text": "Фон блоков кода"
},
"$:/language/Docs/PaletteColours/code-border": {
"title": "$:/language/Docs/PaletteColours/code-border",
"text": "Граница блоков кода"
},
"$:/language/Docs/PaletteColours/code-foreground": {
"title": "$:/language/Docs/PaletteColours/code-foreground",
"text": "Цвет текста блоков кода"
},
"$:/language/Docs/PaletteColours/dirty-indicator": {
"title": "$:/language/Docs/PaletteColours/dirty-indicator",
"text": "Индикатор несохранённых изменений"
},
"$:/language/Docs/PaletteColours/download-background": {
"title": "$:/language/Docs/PaletteColours/download-background",
"text": "Фон кнопки Скачать"
},
"$:/language/Docs/PaletteColours/download-foreground": {
"title": "$:/language/Docs/PaletteColours/download-foreground",
"text": "Цвет текста кнопки Скачать"
},
"$:/language/Docs/PaletteColours/dragger-background": {
"title": "$:/language/Docs/PaletteColours/dragger-background",
"text": "Фон перетаскиваемой ссылки"
},
"$:/language/Docs/PaletteColours/dragger-foreground": {
"title": "$:/language/Docs/PaletteColours/dragger-foreground",
"text": "Цвет текста перетаскиваемой ссылки"
},
"$:/language/Docs/PaletteColours/dropdown-background": {
"title": "$:/language/Docs/PaletteColours/dropdown-background",
"text": "Фон выпадающего меню"
},
"$:/language/Docs/PaletteColours/dropdown-border": {
"title": "$:/language/Docs/PaletteColours/dropdown-border",
"text": "Граница выпадающего меню"
},
"$:/language/Docs/PaletteColours/dropdown-tab-background": {
"title": "$:/language/Docs/PaletteColours/dropdown-tab-background",
"text": "Фон вкладок выпадающего меню"
},
"$:/language/Docs/PaletteColours/dropdown-tab-background-selected": {
"title": "$:/language/Docs/PaletteColours/dropdown-tab-background-selected",
"text": "Фон выбранных вкладок выпадающего меню"
},
"$:/language/Docs/PaletteColours/dropzone-background": {
"title": "$:/language/Docs/PaletteColours/dropzone-background",
"text": "Фон области перетаскивания"
},
"$:/language/Docs/PaletteColours/external-link-background": {
"title": "$:/language/Docs/PaletteColours/external-link-background",
"text": "фон внешней ссылки"
},
"$:/language/Docs/PaletteColours/external-link-background-hover": {
"title": "$:/language/Docs/PaletteColours/external-link-background-hover",
"text": "Фон внешней ссылки при наведении"
},
"$:/language/Docs/PaletteColours/external-link-background-visited": {
"title": "$:/language/Docs/PaletteColours/external-link-background-visited",
"text": "Фон посещённой внешней ссылки"
},
"$:/language/Docs/PaletteColours/external-link-foreground": {
"title": "$:/language/Docs/PaletteColours/external-link-foreground",
"text": "Цвет текста внешней ссылки"
},
"$:/language/Docs/PaletteColours/external-link-foreground-hover": {
"title": "$:/language/Docs/PaletteColours/external-link-foreground-hover",
"text": "Цвет текста внешней ссылки при наведении"
},
"$:/language/Docs/PaletteColours/external-link-foreground-visited": {
"title": "$:/language/Docs/PaletteColours/external-link-foreground-visited",
"text": "Цвет текста посещённой внешней ссылки"
},
"$:/language/Docs/PaletteColours/foreground": {
"title": "$:/language/Docs/PaletteColours/foreground",
"text": "Общий цвет текста"
},
"$:/language/Docs/PaletteColours/message-background": {
"title": "$:/language/Docs/PaletteColours/message-background",
"text": "Фон сообщений"
},
"$:/language/Docs/PaletteColours/message-border": {
"title": "$:/language/Docs/PaletteColours/message-border",
"text": "Граница сообщений"
},
"$:/language/Docs/PaletteColours/message-foreground": {
"title": "$:/language/Docs/PaletteColours/message-foreground",
"text": "Цвет текста сообщений"
},
"$:/language/Docs/PaletteColours/modal-backdrop": {
"title": "$:/language/Docs/PaletteColours/modal-backdrop",
"text": "Цвет фона за модальным окном"
},
"$:/language/Docs/PaletteColours/modal-background": {
"title": "$:/language/Docs/PaletteColours/modal-background",
"text": "Фон модального окна"
},
"$:/language/Docs/PaletteColours/modal-border": {
"title": "$:/language/Docs/PaletteColours/modal-border",
"text": "Граница модального окна"
},
"$:/language/Docs/PaletteColours/modal-footer-background": {
"title": "$:/language/Docs/PaletteColours/modal-footer-background",
"text": "Фон подвала модального окна"
},
"$:/language/Docs/PaletteColours/modal-footer-border": {
"title": "$:/language/Docs/PaletteColours/modal-footer-border",
"text": "Граница подвала модального окна"
},
"$:/language/Docs/PaletteColours/modal-header-border": {
"title": "$:/language/Docs/PaletteColours/modal-header-border",
"text": "Граница шапки модального окна"
},
"$:/language/Docs/PaletteColours/muted-foreground": {
"title": "$:/language/Docs/PaletteColours/muted-foreground",
"text": "Приглушенный цвет текста"
},
"$:/language/Docs/PaletteColours/notification-background": {
"title": "$:/language/Docs/PaletteColours/notification-background",
"text": "Фон уведомлений"
},
"$:/language/Docs/PaletteColours/notification-border": {
"title": "$:/language/Docs/PaletteColours/notification-border",
"text": "Граница уведомлений"
},
"$:/language/Docs/PaletteColours/page-background": {
"title": "$:/language/Docs/PaletteColours/page-background",
"text": "Фон страницы"
},
"$:/language/Docs/PaletteColours/pre-background": {
"title": "$:/language/Docs/PaletteColours/pre-background",
"text": "Фон неформатированного текста"
},
"$:/language/Docs/PaletteColours/pre-border": {
"title": "$:/language/Docs/PaletteColours/pre-border",
"text": "Граница неформатированного текста"
},
"$:/language/Docs/PaletteColours/primary": {
"title": "$:/language/Docs/PaletteColours/primary",
"text": "Первичный цвет"
},
"$:/language/Docs/PaletteColours/sidebar-button-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-button-foreground",
"text": "Цвет текста кнопок боковой панели"
},
"$:/language/Docs/PaletteColours/sidebar-controls-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-controls-foreground",
"text": "Цвет элементов управления боковой панели"
},
"$:/language/Docs/PaletteColours/sidebar-controls-foreground-hover": {
"title": "$:/language/Docs/PaletteColours/sidebar-controls-foreground-hover",
"text": "Цвет элементов управления боковой панели при наведении"
},
"$:/language/Docs/PaletteColours/sidebar-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-foreground",
"text": "Цвет текста на боковой панели"
},
"$:/language/Docs/PaletteColours/sidebar-foreground-shadow": {
"title": "$:/language/Docs/PaletteColours/sidebar-foreground-shadow",
"text": "Цвет тени текста на боковой панели"
},
"$:/language/Docs/PaletteColours/sidebar-muted-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-muted-foreground",
"text": "Приглушенный цвет текста на боковой панели"
},
"$:/language/Docs/PaletteColours/sidebar-muted-foreground-hover": {
"title": "$:/language/Docs/PaletteColours/sidebar-muted-foreground-hover",
"text": "Приглушенный цвет текста на боковой панели при наведении"
},
"$:/language/Docs/PaletteColours/sidebar-tab-background": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-background",
"text": "Фон вкладок на боковой панели"
},
"$:/language/Docs/PaletteColours/sidebar-tab-background-selected": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-background-selected",
"text": "Фон выбранных вкладок на боковой панели"
},
"$:/language/Docs/PaletteColours/sidebar-tab-border": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-border",
"text": "Граница вкладок на боковой панели"
},
"$:/language/Docs/PaletteColours/sidebar-tab-border-selected": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-border-selected",
"text": "Граница выбранных вкладок на боковой панели"
},
"$:/language/Docs/PaletteColours/sidebar-tab-divider": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-divider",
"text": "Разделитель вкладок на боковой панели"
},
"$:/language/Docs/PaletteColours/sidebar-tab-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-foreground",
"text": "Цвет текста вкладок на боковой панели"
},
"$:/language/Docs/PaletteColours/sidebar-tab-foreground-selected": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-foreground-selected",
"text": "Цвет текста выбранных вкладок на боковой панели"
},
"$:/language/Docs/PaletteColours/sidebar-tiddler-link-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-tiddler-link-foreground",
"text": "Цвет ссылок на заметки на боковой панели"
},
"$:/language/Docs/PaletteColours/sidebar-tiddler-link-foreground-hover": {
"title": "$:/language/Docs/PaletteColours/sidebar-tiddler-link-foreground-hover",
"text": "Цвет ссылок на заметки на боковой панели при наведении"
},
"$:/language/Docs/PaletteColours/site-title-foreground": {
"title": "$:/language/Docs/PaletteColours/site-title-foreground",
"text": "Цвет заголовка сайта"
},
"$:/language/Docs/PaletteColours/static-alert-foreground": {
"title": "$:/language/Docs/PaletteColours/static-alert-foreground",
"text": "Цвет текста статической версии сообщения об ошибке"
},
"$:/language/Docs/PaletteColours/tab-background": {
"title": "$:/language/Docs/PaletteColours/tab-background",
"text": "Фон вкладок"
},
"$:/language/Docs/PaletteColours/tab-background-selected": {
"title": "$:/language/Docs/PaletteColours/tab-background-selected",
"text": "Фон выбранных вкладок"
},
"$:/language/Docs/PaletteColours/tab-border": {
"title": "$:/language/Docs/PaletteColours/tab-border",
"text": "Граница вкладок"
},
"$:/language/Docs/PaletteColours/tab-border-selected": {
"title": "$:/language/Docs/PaletteColours/tab-border-selected",
"text": "Граница выбранных вкладок"
},
"$:/language/Docs/PaletteColours/tab-divider": {
"title": "$:/language/Docs/PaletteColours/tab-divider",
"text": "Разделитель вкладок"
},
"$:/language/Docs/PaletteColours/tab-foreground": {
"title": "$:/language/Docs/PaletteColours/tab-foreground",
"text": "Цвет текста вкладок"
},
"$:/language/Docs/PaletteColours/tab-foreground-selected": {
"title": "$:/language/Docs/PaletteColours/tab-foreground-selected",
"text": "Цвет текста выбранных вкладок"
},
"$:/language/Docs/PaletteColours/table-border": {
"title": "$:/language/Docs/PaletteColours/table-border",
"text": "Граница таблиц"
},
"$:/language/Docs/PaletteColours/table-footer-background": {
"title": "$:/language/Docs/PaletteColours/table-footer-background",
"text": "Фон подвала таблиц"
},
"$:/language/Docs/PaletteColours/table-header-background": {
"title": "$:/language/Docs/PaletteColours/table-header-background",
"text": "Фон шапки таблиц"
},
"$:/language/Docs/PaletteColours/tag-background": {
"title": "$:/language/Docs/PaletteColours/tag-background",
"text": "Фон меток"
},
"$:/language/Docs/PaletteColours/tag-foreground": {
"title": "$:/language/Docs/PaletteColours/tag-foreground",
"text": "Цвет текста меток"
},
"$:/language/Docs/PaletteColours/tiddler-background": {
"title": "$:/language/Docs/PaletteColours/tiddler-background",
"text": "Фон заметок"
},
"$:/language/Docs/PaletteColours/tiddler-border": {
"title": "$:/language/Docs/PaletteColours/tiddler-border",
"text": "Граница заметок"
},
"$:/language/Docs/PaletteColours/tiddler-controls-foreground": {
"title": "$:/language/Docs/PaletteColours/tiddler-controls-foreground",
"text": "Цвет элементов управления заметки"
},
"$:/language/Docs/PaletteColours/tiddler-controls-foreground-hover": {
"title": "$:/language/Docs/PaletteColours/tiddler-controls-foreground-hover",
"text": "Цвет элементов управления заметки при наведении"
},
"$:/language/Docs/PaletteColours/tiddler-controls-foreground-selected": {
"title": "$:/language/Docs/PaletteColours/tiddler-controls-foreground-selected",
"text": "Цвет выбранных элементов управления заметки"
},
"$:/language/Docs/PaletteColours/tiddler-editor-background": {
"title": "$:/language/Docs/PaletteColours/tiddler-editor-background",
"text": "Фон редактора заметок"
},
"$:/language/Docs/PaletteColours/tiddler-editor-border": {
"title": "$:/language/Docs/PaletteColours/tiddler-editor-border",
"text": "Граница редактора заметок"
},
"$:/language/Docs/PaletteColours/tiddler-editor-border-image": {
"title": "$:/language/Docs/PaletteColours/tiddler-editor-border-image",
"text": "Граница редактора изображений"
},
"$:/language/Docs/PaletteColours/tiddler-editor-fields-even": {
"title": "$:/language/Docs/PaletteColours/tiddler-editor-fields-even",
"text": "Фон четных полей"
},
"$:/language/Docs/PaletteColours/tiddler-editor-fields-odd": {
"title": "$:/language/Docs/PaletteColours/tiddler-editor-fields-odd",
"text": "Фон нечётных полей"
},
"$:/language/Docs/PaletteColours/tiddler-info-background": {
"title": "$:/language/Docs/PaletteColours/tiddler-info-background",
"text": "Фон информационной панели заметки"
},
"$:/language/Docs/PaletteColours/tiddler-info-border": {
"title": "$:/language/Docs/PaletteColours/tiddler-info-border",
"text": "Граница информационной панели заметки"
},
"$:/language/Docs/PaletteColours/tiddler-info-tab-background": {
"title": "$:/language/Docs/PaletteColours/tiddler-info-tab-background",
"text": "Фон вкладок информационной панели заметки"
},
"$:/language/Docs/PaletteColours/tiddler-link-background": {
"title": "$:/language/Docs/PaletteColours/tiddler-link-background",
"text": "Фон ссылок на заметку"
},
"$:/language/Docs/PaletteColours/tiddler-link-foreground": {
"title": "$:/language/Docs/PaletteColours/tiddler-link-foreground",
"text": "Цвет текста ссылок на заметку"
},
"$:/language/Docs/PaletteColours/tiddler-subtitle-foreground": {
"title": "$:/language/Docs/PaletteColours/tiddler-subtitle-foreground",
"text": "Цвет текста подзаголовка заметки"
},
"$:/language/Docs/PaletteColours/tiddler-title-foreground": {
"title": "$:/language/Docs/PaletteColours/tiddler-title-foreground",
"text": "Цвет текста заголовка заметки"
},
"$:/language/Docs/PaletteColours/toolbar-cancel-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-cancel-button",
"text": "Цвет кнопки 'отменить'"
},
"$:/language/Docs/PaletteColours/toolbar-close-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-close-button",
"text": "Цвет кнопки 'закрыть'"
},
"$:/language/Docs/PaletteColours/toolbar-delete-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-delete-button",
"text": "Цвет кнопки 'удалить'"
},
"$:/language/Docs/PaletteColours/toolbar-done-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-done-button",
"text": "Цвет кнопки 'готово'"
},
"$:/language/Docs/PaletteColours/toolbar-edit-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-edit-button",
"text": "Цвет кнопки 'редактировать'"
},
"$:/language/Docs/PaletteColours/toolbar-info-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-info-button",
"text": "Цвет кнопки 'информация'"
},
"$:/language/Docs/PaletteColours/toolbar-new-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-new-button",
"text": "Цвет кнопки 'создать'"
},
"$:/language/Docs/PaletteColours/toolbar-options-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-options-button",
"text": "Цвет кнопки 'настройки'"
},
"$:/language/Docs/PaletteColours/toolbar-save-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-save-button",
"text": "Цвет кнопки 'сохранить'"
},
"$:/language/Docs/PaletteColours/untagged-background": {
"title": "$:/language/Docs/PaletteColours/untagged-background",
"text": "Фон метки 'без метки'"
},
"$:/language/Docs/PaletteColours/very-muted-foreground": {
"title": "$:/language/Docs/PaletteColours/very-muted-foreground",
"text": "Очень приглушенный цвет текста"
},
"$:/language/EditTemplate/Body/External/Hint": {
"title": "$:/language/EditTemplate/Body/External/Hint",
"text": "Содержимое этой заметки находится вне TiddlyWiki. Но вы можете редактировать метки и поля"
},
"$:/language/EditTemplate/Body/Placeholder": {
"title": "$:/language/EditTemplate/Body/Placeholder",
"text": "Введите текст заметки"
},
"$:/language/EditTemplate/Field/Remove/Caption": {
"title": "$:/language/EditTemplate/Field/Remove/Caption",
"text": "удалить поле"
},
"$:/language/EditTemplate/Field/Remove/Hint": {
"title": "$:/language/EditTemplate/Field/Remove/Hint",
"text": "Удалить поле"
},
"$:/language/EditTemplate/Fields/Add/Button": {
"title": "$:/language/EditTemplate/Fields/Add/Button",
"text": "добавить"
},
"$:/language/EditTemplate/Fields/Add/Dropdown/System": {
"title": "$:/language/EditTemplate/Fields/Add/Dropdown/System",
"text": "Системные поля"
},
"$:/language/EditTemplate/Fields/Add/Dropdown/User": {
"title": "$:/language/EditTemplate/Fields/Add/Dropdown/User",
"text": "Пользовательские поля"
},
"$:/language/EditTemplate/Fields/Add/Name/Placeholder": {
"title": "$:/language/EditTemplate/Fields/Add/Name/Placeholder",
"text": "название поля"
},
"$:/language/EditTemplate/Fields/Add/Prompt": {
"title": "$:/language/EditTemplate/Fields/Add/Prompt",
"text": "Добавить новое поле:"
},
"$:/language/EditTemplate/Fields/Add/Value/Placeholder": {
"title": "$:/language/EditTemplate/Fields/Add/Value/Placeholder",
"text": "значение"
},
"$:/language/EditTemplate/Shadow/OverriddenWarning": {
"title": "$:/language/EditTemplate/Shadow/OverriddenWarning",
"text": "Это переопределённая встроенная заметка. Для восстановления стандартного значения просто удалите её"
},
"$:/language/EditTemplate/Shadow/Warning": {
"title": "$:/language/EditTemplate/Shadow/Warning",
"text": "Это встроенная заметка. Любое изменение переопределит стандартное значение"
},
"$:/language/EditTemplate/Tags/Add/Button": {
"title": "$:/language/EditTemplate/Tags/Add/Button",
"text": "добавить"
},
"$:/language/EditTemplate/Tags/Add/Placeholder": {
"title": "$:/language/EditTemplate/Tags/Add/Placeholder",
"text": "название метки"
},
"$:/language/EditTemplate/Tags/Dropdown/Caption": {
"title": "$:/language/EditTemplate/Tags/Dropdown/Caption",
"text": "список меток"
},
"$:/language/EditTemplate/Tags/Dropdown/Hint": {
"title": "$:/language/EditTemplate/Tags/Dropdown/Hint",
"text": "Показать список меток"
},
"$:/language/EditTemplate/Type/Delete/Caption": {
"title": "$:/language/EditTemplate/Type/Delete/Caption",
"text": "удалить тип содержимого"
},
"$:/language/EditTemplate/Type/Delete/Hint": {
"title": "$:/language/EditTemplate/Type/Delete/Hint",
"text": "Удалить тип содержимого"
},
"$:/language/EditTemplate/Type/Dropdown/Caption": {
"title": "$:/language/EditTemplate/Type/Dropdown/Caption",
"text": "список типов содержимого"
},
"$:/language/EditTemplate/Type/Dropdown/Hint": {
"title": "$:/language/EditTemplate/Type/Dropdown/Hint",
"text": "Показать список типов содержимого"
},
"$:/language/EditTemplate/Type/Placeholder": {
"title": "$:/language/EditTemplate/Type/Placeholder",
"text": "тип содержимого"
},
"$:/language/EditTemplate/Type/Prompt": {
"title": "$:/language/EditTemplate/Type/Prompt",
"text": "Тип:"
},
"$:/language/Exporters/StaticRiver": {
"title": "$:/language/Exporters/StaticRiver",
"text": "Показываемые заметки в виде статического HTML файла"
},
"$:/language/Exporters/JsonFile": {
"title": "$:/language/Exporters/JsonFile",
"text": "Заметки в формате JSON"
},
"$:/language/Exporters/CsvFile": {
"title": "$:/language/Exporters/CsvFile",
"text": "Заметки в формате CSV"
},
"$:/language/Exporters/TidFile": {
"title": "$:/language/Exporters/TidFile",
"text": "Одна заметка в формате \".tid\""
},
"$:/language/Filters/AllTags": {
"title": "$:/language/Filters/AllTags",
"text": "Все метки, кроме системных"
},
"$:/language/Filters/AllTiddlers": {
"title": "$:/language/Filters/AllTiddlers",
"text": "Все заметки, кроме системных"
},
"$:/language/Filters/Drafts": {
"title": "$:/language/Filters/Drafts",
"text": "Черновики"
},
"$:/language/Filters/Missing": {
"title": "$:/language/Filters/Missing",
"text": "Отсутствующие заметки"
},
"$:/language/Filters/Orphans": {
"title": "$:/language/Filters/Orphans",
"text": "Потерянные заметки"
},
"$:/language/Filters/OverriddenShadowTiddlers": {
"title": "$:/language/Filters/OverriddenShadowTiddlers",
"text": "Переопределённые встроенные заметки"
},
"$:/language/Filters/RecentSystemTiddlers": {
"title": "$:/language/Filters/RecentSystemTiddlers",
"text": "Недавно измененные заметки, включая системные"
},
"$:/language/Filters/RecentTiddlers": {
"title": "$:/language/Filters/RecentTiddlers",
"text": "Недавно измененные заметки"
},
"$:/language/Filters/ShadowTiddlers": {
"title": "$:/language/Filters/ShadowTiddlers",
"text": "Встроенные заметки"
},
"$:/language/Filters/SystemTags": {
"title": "$:/language/Filters/SystemTags",
"text": "Системные метки"
},
"$:/language/Filters/SystemTiddlers": {
"title": "$:/language/Filters/SystemTiddlers",
"text": "Системные заметки"
},
"$:/language/Filters/TypedTiddlers": {
"title": "$:/language/Filters/TypedTiddlers",
"text": "Не вики-текстовые тиддлеры"
},
"GettingStarted": {
"title": "GettingStarted",
"text": "\\define lingo-base() $:/language/ControlPanel/Basics/\nДобро пожаловать в ~TiddlyWiki, нелинейную личную сетевую записную книжку.\n\nДля начала убедитесь, что у вас работает сохранение - подробные инструкции на https://tiddlywiki.com/.\n\nЗатем вы можете:\n\n* Создать новые заметки, используя кнопку 'плюс' на боковой панели\n* Зайти в панель управления, используя кнопку с изображением 'шестерёнки' на боковой панели и настроить TiddlyWiki на свой вкус\n** Убрать это сообщение, изменив настройку 'заметки по умолчанию' на вкладке Основные\n* Сохранить изменения при помощи кнопки 'скачать' на боковой панели\n* Изучить подробнее WikiText\n\n!! Set up this ~TiddlyWiki\n\n<div class=\"tc-control-panel\">\n\n|<$link to=\"$:/SiteTitle\"><<lingo Title/Prompt>></$link> |<$edit-text tiddler=\"$:/SiteTitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/SiteSubtitle\"><<lingo Subtitle/Prompt>></$link> |<$edit-text tiddler=\"$:/SiteSubtitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/DefaultTiddlers\"><<lingo DefaultTiddlers/Prompt>></$link> |<<lingo DefaultTiddlers/TopHint>><br> <$edit-text tag=\"textarea\" tiddler=\"$:/DefaultTiddlers\"/><br>//<<lingo DefaultTiddlers/BottomHint>>// |\n</div>\n\nSee the [[control panel|$:/ControlPanel]] for more options.\n"
},
"$:/language/Import/Listing/Cancel/Caption": {
"title": "$:/language/Import/Listing/Cancel/Caption",
"text": "Отмена"
},
"$:/language/Import/Listing/Hint": {
"title": "$:/language/Import/Listing/Hint",
"text": "Импортируемые заметки:"
},
"$:/language/Import/Listing/Import/Caption": {
"title": "$:/language/Import/Listing/Import/Caption",
"text": "Импортировать"
},
"$:/language/Import/Listing/Select/Caption": {
"title": "$:/language/Import/Listing/Select/Caption",
"text": "Выбор"
},
"$:/language/Import/Listing/Status/Caption": {
"title": "$:/language/Import/Listing/Status/Caption",
"text": "Примечание"
},
"$:/language/Import/Listing/Title/Caption": {
"title": "$:/language/Import/Listing/Title/Caption",
"text": "Название"
},
"$:/language/Import/Upgrader/Plugins/Suppressed/Incompatible": {
"title": "$:/language/Import/Upgrader/Plugins/Suppressed/Incompatible",
"text": "Заблокированный несовместимый или устаревший плагин"
},
"$:/language/Import/Upgrader/Plugins/Suppressed/Version": {
"title": "$:/language/Import/Upgrader/Plugins/Suppressed/Version",
"text": "Заблокированный плагин (импотируемый <<incoming>> старее существующего <<existing>>)"
},
"$:/language/Import/Upgrader/Plugins/Upgraded": {
"title": "$:/language/Import/Upgrader/Plugins/Upgraded",
"text": "Обновляемый плагин с версии <<incoming>> до <<upgraded>>"
},
"$:/language/Import/Upgrader/State/Suppressed": {
"title": "$:/language/Import/Upgrader/State/Suppressed",
"text": "Заблокированная временная внутренняя заметка"
},
"$:/language/Import/Upgrader/System/Suppressed": {
"title": "$:/language/Import/Upgrader/System/Suppressed",
"text": "Заблокированная системная заметка"
},
"$:/language/Import/Upgrader/ThemeTweaks/Created": {
"title": "$:/language/Import/Upgrader/ThemeTweaks/Created",
"text": "Импортированная настройка темы из <$text text=<<from>>/>"
},
"$:/language/BinaryWarning/Prompt": {
"title": "$:/language/BinaryWarning/Prompt",
"text": "Эта заметка содержит двоичные данные"
},
"$:/language/ClassicWarning/Hint": {
"title": "$:/language/ClassicWarning/Hint",
"text": "Эта заметка написана в формате TiddlyWiki Classic WikiText, который не совместим с TiddlyWiki 5. Подробнее: https://tiddlywiki.com/static/Upgrading.html"
},
"$:/language/ClassicWarning/Upgrade/Caption": {
"title": "$:/language/ClassicWarning/Upgrade/Caption",
"text": "обновление"
},
"$:/language/CloseAll/Button": {
"title": "$:/language/CloseAll/Button",
"text": "закрыть все"
},
"$:/language/ConfirmCancelTiddler": {
"title": "$:/language/ConfirmCancelTiddler",
"text": "Отменить изменения заметки \"<$text text=<<title>>/>\"?"
},
"$:/language/ConfirmDeleteTiddler": {
"title": "$:/language/ConfirmDeleteTiddler",
"text": "Удалить заметку \"<$text text=<<title>>/>\"?"
},
"$:/language/ConfirmEditShadowTiddler": {
"title": "$:/language/ConfirmEditShadowTiddler",
"text": "Вы собираетесь редактировать встроенную заметку. Любое изменение переопределит стандартное значение и может привести к проблемам при обновлении TiddlyWiki. Вы действительно хотите редактировать \"<$text text=<<title>>/>\"?"
},
"$:/language/ConfirmOverwriteTiddler": {
"title": "$:/language/ConfirmOverwriteTiddler",
"text": "Заменить заметку \"<$text text=<<title>>/>\"?"
},
"$:/language/Count": {
"title": "$:/language/Count",
"text": "номер"
},
"$:/language/DefaultNewTiddlerTitle": {
"title": "$:/language/DefaultNewTiddlerTitle",
"text": "Новая заметка"
},
"$:/language/DropMessage": {
"title": "$:/language/DropMessage",
"text": "Перетащите сюда (или нажмите escape для отмены)"
},
"$:/language/Encryption/Cancel": {
"title": "$:/language/Encryption/Cancel",
"text": "Отмена"
},
"$:/language/Encryption/ConfirmClearPassword": {
"title": "$:/language/Encryption/ConfirmClearPassword",
"text": "Вы действительно хотите сбросить пароль? Это действие отменит шифрование при следующем сохранении"
},
"$:/language/Encryption/Password": {
"title": "$:/language/Encryption/Password",
"text": "Пароль"
},
"$:/language/Encryption/PasswordNoMatch": {
"title": "$:/language/Encryption/PasswordNoMatch",
"text": "Пароли не совпадают"
},
"$:/language/Encryption/PromptSetPassword": {
"title": "$:/language/Encryption/PromptSetPassword",
"text": "Установить новый пароль для TiddlyWiki"
},
"$:/language/Encryption/RepeatPassword": {
"title": "$:/language/Encryption/RepeatPassword",
"text": "Повторите пароль"
},
"$:/language/Encryption/SetPassword": {
"title": "$:/language/Encryption/SetPassword",
"text": "Введите пароль"
},
"$:/language/Encryption/Username": {
"title": "$:/language/Encryption/Username",
"text": "Имя пользователя"
},
"$:/language/InvalidFieldName": {
"title": "$:/language/InvalidFieldName",
"text": "Недопустимые символы в названии поля \"<$text text=<<fieldName>>/>\". Поля могут содержать только латинские буквы нижнего регистра, цифры и символы: подчеркивание (`_`), дефис (`-`) и точку (`.`)"
},
"$:/language/MissingTiddler/Hint": {
"title": "$:/language/MissingTiddler/Hint",
"text": "Заметка \"<$text text=<<currentTiddler>>/>\" отсутствует - нажмите {{||$:/core/ui/Buttons/edit}} чтобы её создать"
},
"$:/language/OfficialPluginLibrary": {
"title": "$:/language/OfficialPluginLibrary",
"text": "Официальная Библиотека Плагинов ~TiddlyWiki"
},
"$:/language/PluginReloadWarning": {
"title": "$:/language/PluginReloadWarning",
"text": "Пожалуйста, сохраните {{$:/core/ui/Buttons/save-wiki}} и перезапустите {{$:/core/ui/Buttons/refresh}} вики, чтобы изменения в плагинах возымели эффект."
},
"$:/language/RecentChanges/DateFormat": {
"title": "$:/language/RecentChanges/DateFormat",
"text": "DD MMM YYYY"
},
"$:/language/SystemTiddler/Tooltip": {
"title": "$:/language/SystemTiddler/Tooltip",
"text": "Это системная заметка"
},
"$:/language/TagManager/Colour/Heading": {
"title": "$:/language/TagManager/Colour/Heading",
"text": "Цвет"
},
"$:/language/TagManager/Count/Heading": {
"title": "$:/language/TagManager/Count/Heading",
"text": "Номер"
},
"$:/language/TagManager/Icon/Heading": {
"title": "$:/language/TagManager/Icon/Heading",
"text": "Значок"
},
"$:/language/TagManager/Info/Heading": {
"title": "$:/language/TagManager/Info/Heading",
"text": "Детали"
},
"$:/language/TagManager/Tag/Heading": {
"title": "$:/language/TagManager/Tag/Heading",
"text": "Метка"
},
"$:/language/UnsavedChangesWarning": {
"title": "$:/language/UnsavedChangesWarning",
"text": "Изменения TiddlyWiki не сохранены"
},
"$:/language/Modals/Download": {
"title": "$:/language/Modals/Download",
"type": "text/vnd.tiddlywiki",
"subtitle": "Скачать изменения",
"footer": "<$button message=\"tm-close-tiddler\">Закрыть</$button>",
"help": "https://tiddlywiki.com/static/DownloadingChanges.html",
"text": "Ваш браузер поддерживает только ручное сохранение.\n\nЧтобы сохранить измененную ~TiddlyWiki, щёлкните правой кнопкой мыши по ссылке ниже и выберите \"Скачать файл\" или \"Сохранить файл\", затем выберите расположение и имя файла.\n\n//Вы можете заметно ускорить этот процесс, щёлкнув по ссылке с нажатой клавишей Control (Windows) или Options/Alt (Mac OS X). У вас не спросят расположение и имя файла, возможно, имя будет неузнаваемым -- также может понадобиться добавить расширение `.html` к имени файла.//\n\nНа смартфонах, которые на позволяют скачивать файлы, можно поместить ссылку в закладки, затем синхронизировать закладки с компьютером, где ~TiddlyWiki можно сохранить обычным методом.\n"
},
"$:/language/Modals/SaveInstructions": {
"title": "$:/language/Modals/SaveInstructions",
"type": "text/vnd.tiddlywiki",
"subtitle": "Сохраните свою работу",
"footer": "<$button message=\"tm-close-tiddler\">Закрыть</$button>",
"help": "https://tiddlywiki.com/static/SavingChanges.html",
"text": "Изменения должны быть сохранены в виде HTML файла ~TiddlyWiki.\n\n!!! На компьютере\n\n# Нажмите ''Сохранить как'' в меню ''Файл''\n# Выберите название и расположение файла\n#* Иногда требуется также явно указать формат сохраняемого файла: ''Веб-страница, только HTML'' или подобный\n# Закройте эту вкладку\n\n!!! На смартфоне\n\n# Поместите эту страницу в закладки\n#* Если у вас настроен iCloud или Google Sync, тогда закладка автоматически синхронизируется с компьютером, и вы сможете открыть её и сохранить по инструкции для компьютеров\n# Закройте эту вкладку\n\n//При открытии закладки в Mobile Safari вы снова увидите это сообщение. Если вы хотите продолжить работу с файлом, нажмите на кнопку ''Закрыть'' ниже//\n"
},
"$:/config/NewJournal/Tags": {
"title": "$:/config/NewJournal/Tags",
"text": "Дневник"
},
"$:/config/NewJournal/Title": {
"title": "$:/config/NewJournal/Title",
"text": "DD MMM YYYY"
},
"$:/language/Notifications/Save/Done": {
"title": "$:/language/Notifications/Save/Done",
"text": "Успешно сохранено"
},
"$:/language/Notifications/Save/Starting": {
"title": "$:/language/Notifications/Save/Starting",
"text": "Идёт сохранение"
},
"$:/language/Search/DefaultResults/Caption": {
"title": "$:/language/Search/DefaultResults/Caption",
"text": "Список"
},
"$:/language/Search/Filter/Caption": {
"title": "$:/language/Search/Filter/Caption",
"text": "Фильтр"
},
"$:/language/Search/Filter/Hint": {
"title": "$:/language/Search/Filter/Hint",
"text": "Поиск с помощью [[фильтров|https://tiddlywiki.com/static/Filters.html]]"
},
"$:/language/Search/Filter/Matches": {
"title": "$:/language/Search/Filter/Matches",
"text": "//<small><<resultCount>> совпадений</small>//"
},
"$:/language/Search/Matches": {
"title": "$:/language/Search/Matches",
"text": "//<small><<resultCount>> совпадений</small>//"
},
"$:/language/Search/Shadows/Caption": {
"title": "$:/language/Search/Shadows/Caption",
"text": "Встроенные"
},
"$:/language/Search/Shadows/Hint": {
"title": "$:/language/Search/Shadows/Hint",
"text": "Поиск встроенных заметок"
},
"$:/language/Search/Shadows/Matches": {
"title": "$:/language/Search/Shadows/Matches",
"text": "//<small><<resultCount>> совпадений</small>//"
},
"$:/language/Search/Standard/Caption": {
"title": "$:/language/Search/Standard/Caption",
"text": "Обычные"
},
"$:/language/Search/Standard/Hint": {
"title": "$:/language/Search/Standard/Hint",
"text": "Поиск обычных заметок"
},
"$:/language/Search/Standard/Matches": {
"title": "$:/language/Search/Standard/Matches",
"text": "//<small><<resultCount>> совпадений</small>//"
},
"$:/language/Search/System/Caption": {
"title": "$:/language/Search/System/Caption",
"text": "Системные"
},
"$:/language/Search/System/Hint": {
"title": "$:/language/Search/System/Hint",
"text": "Поиск системных заметок"
},
"$:/language/Search/System/Matches": {
"title": "$:/language/Search/System/Matches",
"text": "//<small><<resultCount>> совпадений</small>//"
},
"$:/language/SideBar/All/Caption": {
"title": "$:/language/SideBar/All/Caption",
"text": "Все"
},
"$:/language/SideBar/Contents/Caption": {
"title": "$:/language/SideBar/Contents/Caption",
"text": "Оглавление"
},
"$:/language/SideBar/Drafts/Caption": {
"title": "$:/language/SideBar/Drafts/Caption",
"text": "Черновики"
},
"$:/language/SideBar/Missing/Caption": {
"title": "$:/language/SideBar/Missing/Caption",
"text": "Отсутствующие"
},
"$:/language/SideBar/More/Caption": {
"title": "$:/language/SideBar/More/Caption",
"text": "Ещё"
},
"$:/language/SideBar/Open/Caption": {
"title": "$:/language/SideBar/Open/Caption",
"text": "Открытые"
},
"$:/language/SideBar/Orphans/Caption": {
"title": "$:/language/SideBar/Orphans/Caption",
"text": "Потерянные"
},
"$:/language/SideBar/Recent/Caption": {
"title": "$:/language/SideBar/Recent/Caption",
"text": "Последние"
},
"$:/language/SideBar/Shadows/Caption": {
"title": "$:/language/SideBar/Shadows/Caption",
"text": "Встроенные"
},
"$:/language/SideBar/System/Caption": {
"title": "$:/language/SideBar/System/Caption",
"text": "Системные"
},
"$:/language/SideBar/Tags/Caption": {
"title": "$:/language/SideBar/Tags/Caption",
"text": "Метки"
},
"$:/language/SideBar/Tags/Untagged/Caption": {
"title": "$:/language/SideBar/Tags/Untagged/Caption",
"text": "без метки"
},
"$:/language/SideBar/Tools/Caption": {
"title": "$:/language/SideBar/Tools/Caption",
"text": "Инструменты"
},
"$:/language/SideBar/Types/Caption": {
"title": "$:/language/SideBar/Types/Caption",
"text": "Типы"
},
"$:/SiteSubtitle": {
"title": "$:/SiteSubtitle",
"text": "нелинейная личная сетевая записная книжка"
},
"$:/SiteTitle": {
"title": "$:/SiteTitle",
"text": "Моя ~TiddlyWiki"
},
"$:/language/TiddlerInfo/Advanced/Caption": {
"title": "$:/language/TiddlerInfo/Advanced/Caption",
"text": "Расширенные"
},
"$:/language/TiddlerInfo/Advanced/PluginInfo/Empty/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/PluginInfo/Empty/Hint",
"text": "нет"
},
"$:/language/TiddlerInfo/Advanced/PluginInfo/Heading": {
"title": "$:/language/TiddlerInfo/Advanced/PluginInfo/Heading",
"text": "Сведения о плагине"
},
"$:/language/TiddlerInfo/Advanced/PluginInfo/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/PluginInfo/Hint",
"text": "Плагин содержит следующие встроенные заметки:"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/Heading": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/Heading",
"text": "Встроенность"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/NotShadow/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/NotShadow/Hint",
"text": "Заметка <$link to=<<infoTiddler>>><$text text=<<infoTiddler>>/></$link> не является встроенной"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/OverriddenShadow/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/OverriddenShadow/Hint",
"text": "Она переопределена обычной заметкой"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Hint",
"text": "Заметка <$link to=<<infoTiddler>>><$text text=<<infoTiddler>>/></$link> является встроенной"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Source": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Source",
"text": "Она принадлежит плагину <$link to=<<pluginTiddler>>><$text text=<<pluginTiddler>>/></$link>"
},
"$:/language/TiddlerInfo/Fields/Caption": {
"title": "$:/language/TiddlerInfo/Fields/Caption",
"text": "Поля"
},
"$:/language/TiddlerInfo/List/Caption": {
"title": "$:/language/TiddlerInfo/List/Caption",
"text": "Список"
},
"$:/language/TiddlerInfo/List/Empty": {
"title": "$:/language/TiddlerInfo/List/Empty",
"text": "У этой заметки нет списка"
},
"$:/language/TiddlerInfo/Listed/Caption": {
"title": "$:/language/TiddlerInfo/Listed/Caption",
"text": "В списках"
},
"$:/language/TiddlerInfo/Listed/Empty": {
"title": "$:/language/TiddlerInfo/Listed/Empty",
"text": "Этой заметки нет в списках"
},
"$:/language/TiddlerInfo/References/Caption": {
"title": "$:/language/TiddlerInfo/References/Caption",
"text": "Ссылки"
},
"$:/language/TiddlerInfo/References/Empty": {
"title": "$:/language/TiddlerInfo/References/Empty",
"text": "Другие заметки не ссылаются на эту"
},
"$:/language/TiddlerInfo/Tagging/Caption": {
"title": "$:/language/TiddlerInfo/Tagging/Caption",
"text": "Отмеченные"
},
"$:/language/TiddlerInfo/Tagging/Empty": {
"title": "$:/language/TiddlerInfo/Tagging/Empty",
"text": "Нет заметок, отмеченных этой"
},
"$:/language/TiddlerInfo/Tools/Caption": {
"title": "$:/language/TiddlerInfo/Tools/Caption",
"text": "Инструменты"
},
"$:/language/Docs/Types/application/javascript": {
"title": "$:/language/Docs/Types/application/javascript",
"description": "JavaScript code",
"name": "application/javascript",
"group": "Разработка"
},
"$:/language/Docs/Types/application/json": {
"title": "$:/language/Docs/Types/application/json",
"description": "JSON data",
"name": "application/json",
"group": "Разработка"
},
"$:/language/Docs/Types/application/x-tiddler-dictionary": {
"title": "$:/language/Docs/Types/application/x-tiddler-dictionary",
"description": "Data dictionary",
"name": "application/x-tiddler-dictionary",
"group": "Разработка"
},
"$:/language/Docs/Types/image/gif": {
"title": "$:/language/Docs/Types/image/gif",
"description": "GIF изображение",
"name": "image/gif",
"group": "Изображение"
},
"$:/language/Docs/Types/image/jpeg": {
"title": "$:/language/Docs/Types/image/jpeg",
"description": "JPEG изображение",
"name": "image/jpeg",
"group": "Изображение"
},
"$:/language/Docs/Types/image/png": {
"title": "$:/language/Docs/Types/image/png",
"description": "PNG изображение",
"name": "image/png",
"group": "Изображение"
},
"$:/language/Docs/Types/image/svg+xml": {
"title": "$:/language/Docs/Types/image/svg+xml",
"description": "SVG изображение",
"name": "image/svg+xml",
"group": "Изображение"
},
"$:/language/Docs/Types/image/x-icon": {
"title": "$:/language/Docs/Types/image/x-icon",
"description": "ICO значок",
"name": "image/x-icon",
"group": "Изображение"
},
"$:/language/Docs/Types/text/css": {
"title": "$:/language/Docs/Types/text/css",
"description": "Static stylesheet",
"name": "text/css",
"group": "Разработка"
},
"$:/language/Docs/Types/text/html": {
"title": "$:/language/Docs/Types/text/html",
"description": "HTML разметка",
"name": "text/html",
"group": "Текст"
},
"$:/language/Docs/Types/text/plain": {
"title": "$:/language/Docs/Types/text/plain",
"description": "Обычный текст",
"name": "text/plain",
"group": "Текст"
},
"$:/language/Docs/Types/text/vnd.tiddlywiki": {
"title": "$:/language/Docs/Types/text/vnd.tiddlywiki",
"description": "TiddlyWiki 5",
"name": "text/vnd.tiddlywiki",
"group": "Текст"
},
"$:/language/Docs/Types/text/x-tiddlywiki": {
"title": "$:/language/Docs/Types/text/x-tiddlywiki",
"description": "TiddlyWiki Classic",
"name": "text/x-tiddlywiki",
"group": "Текст"
},
"$:/languages/ru-RU/icon": {
"title": "$:/languages/ru-RU/icon",
"type": "image/svg+xml",
"text": "<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 9 6\" width=\"900\" height=\"600\">\n<rect width=\"9\" height=\"6\" fill=\"#D52B1E\"/>\n<rect width=\"9\" height=\"4\" fill=\"#0039A6\"/>\n<rect width=\"9\" height=\"2\" fill=\"#FFF\"/>\n<path d=\"m0,0h9v6H0z\" stroke=\"#a0a0a0\" stroke-width=\".1\" fill=\"none\"/>\n</svg>"
}
}
}
{
"tiddlers": {
"$:/config/DefaultColourMappings/menubar-foreground": {
"title": "$:/config/DefaultColourMappings/menubar-foreground",
"text": "#fff"
},
"$:/config/DefaultColourMappings/menubar-background": {
"title": "$:/config/DefaultColourMappings/menubar-background",
"text": "#5778d8"
},
"$:/config/plugins/menubar/MenuItems/Visibility/$:/plugins/tiddlywiki/menubar/items/pagecontrols": {
"title": "$:/config/plugins/menubar/MenuItems/Visibility/$:/plugins/tiddlywiki/menubar/items/pagecontrols",
"text": "hide"
},
"$:/config/plugins/menubar/MenuItems/Visibility/$:/plugins/tiddlywiki/menubar/items/server": {
"title": "$:/config/plugins/menubar/MenuItems/Visibility/$:/plugins/tiddlywiki/menubar/items/server",
"text": "hide"
},
"$:/config/plugins/menubar/MenuItems/Visibility/$:/plugins/tiddlywiki/menubar/items/sidebar": {
"title": "$:/config/plugins/menubar/MenuItems/Visibility/$:/plugins/tiddlywiki/menubar/items/sidebar",
"text": "hide"
},
"$:/config/plugins/menubar/breakpoint": {
"title": "$:/config/plugins/menubar/breakpoint",
"text": "620px"
},
"$:/plugins/tiddlywiki/menubar/config": {
"title": "$:/plugins/tiddlywiki/menubar/config",
"tags": "$:/tags/ControlPanel/Toolbars",
"caption": "Menu Bar",
"text": "\\define config-base() $:/config/plugins/menubar/MenuItems/Visibility/\n\n! Menu Bar Configuration\n\n!! Menu Items\n\nSelect which menu items will be shown. You can also drag items to reorder them.\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$macrocall $name=\"list-tagged-draggable\" tag=\"$:/tags/MenuBar\" itemTemplate=\"$:/core/ui/ControlPanel/Toolbars/ItemTemplate\"/>\n\n</$set>\n\n</$set>\n\n!! Breakpoint Position\n\nThe breakpoint position between narrow and wide screens. Should include CSS units (eg. `400px`).\n\n<$edit-text tiddler=\"$:/config/plugins/menubar/breakpoint\" default=\"\" tag=\"input\"/>\n\n!! Menu Bar Colours\n\nTo change the colour of the menu bar, define the colours `menubar-foreground` and `menubar-background` in the currently selected palette\n"
},
"$:/plugins/tiddlywiki/menubar/items/contents": {
"title": "$:/plugins/tiddlywiki/menubar/items/contents",
"caption": "Contents",
"description": "Table of Contents",
"is-dropdown": "yes",
"tags": "$:/tags/MenuBar",
"text": "<div class=\"tc-table-of-contents\">\n\n<<toc-selective-expandable 'TableOfContents'>>\n\n</div>\n"
},
"$:/plugins/tiddlywiki/menubar/items/hamburger": {
"title": "$:/plugins/tiddlywiki/menubar/items/hamburger",
"tags": "$:/tags/MenuBar",
"caption": "Hamburger",
"description": "Show the full menu bar on a narrow screen",
"custom-menu-content": "{{$:/plugins/tiddlywiki/menubar/items/hamburger}}",
"show-when": "narrow",
"text": "<$list filter=\"[[$:/state/popup/menubar/hamburger]get[text]else[no]match[no]]\">\n<$button set=\"$:/state/popup/menubar/hamburger\" setTo=\"yes\">\n{{$:/core/images/menu-button}}\n</$button>\n</$list>\n<$list filter=\"[[$:/state/popup/menubar/hamburger]get[text]else[no]match[yes]]\">\n<$button set=\"$:/state/popup/menubar/hamburger\" setTo=\"no\">\n{{$:/core/images/close-button}}\n</$button>\n</$list>\n"
},
"$:/plugins/tiddlywiki/menubar/items/pagecontrols": {
"title": "$:/plugins/tiddlywiki/menubar/items/pagecontrols",
"tags": "$:/tags/MenuBar",
"description": "Page controls from the sidebar",
"caption": "Page controls",
"custom-menu-content": "<$transclude tiddler=\"$:/plugins/tiddlywiki/menubar/items/pagecontrols\" mode=\"inline\"/>",
"text": "\\whitespace trim\n\\define config-title()\n$:/config/PageControlButtons/Visibility/$(listItem)$\n\\end\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageControls]!has[draft.of]]\" variable=\"listItem\">\n<$set name=\"hidden\" value=<<config-title>>>\n<$list filter=\"[<hidden>!text[hide]]\" storyview=\"pop\" variable=\"ignore\">\n<$set name=\"tv-config-toolbar-class\" filter=\"[<tv-config-toolbar-class>] [<listItem>encodeuricomponent[]addprefix[tc-btn-]]\">\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n</$set>\n</$list>\n</$set>\n</$list>\n"
},
"$:/plugins/tiddlywiki/menubar/items/search": {
"title": "$:/plugins/tiddlywiki/menubar/items/search",
"custom-menu-content": "{{$:/plugins/tiddlywiki/menubar/items/search}}",
"description": "Search",
"caption": "Search",
"tags": "$:/tags/MenuBar",
"text": "<$set name=\"searchTiddler\" value=\"$:/temp/menubarsearch\">\n\n<span style=\"margin: 0 0.5em;\">\n\n<$edit-text tiddler=<<searchTiddler>> tag=\"input\" type=\"search\" focusPopup=\"$:/state/popup/menubar-search-dropdown\" class=\"tc-popup-handle tc-menu-show-when-wide\" placeholder=\"Search...\" default=\"\"/>\n\n</span>\n\n<$reveal tag=\"div\" class=\"tc-block-dropdown-wrapper\" state=\"$:/state/popup/menubar-search-dropdown\" type=\"nomatch\" text=\"\" default=\"\">\n\n<div class=\"tc-block-dropdown tc-search-drop-down\">\n\n<$list filter=\"[<searchTiddler>get[text]minlength[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">Type your search terms</div>\"\"\" variable=\"ignore\">\n\n<$list filter=\"[<searchTiddler>get[text]minlength{$:/config/Search/MinLength}limit[1]]\" emptyMessage=\"\"\"<div class=\"tc-search-results\">{{$:/language/Search/Search/TooShort}}</div>\"\"\" variable=\"listItem\">\n\n{{$:/core/ui/SearchResults}}\n\n</$list>\n\n</$list>\n\n</div>\n\n</$reveal>\n\n</$set>\n"
},
"$:/plugins/tiddlywiki/menubar/items/server": {
"title": "$:/plugins/tiddlywiki/menubar/items/server",
"tags": "$:/tags/MenuBar",
"description": "Server options",
"caption": "Server",
"custom-menu-content": "<$transclude tiddler=\"$:/plugins/tiddlywiki/menubar/items/server\" mode=\"inline\"/>",
"text": "<$list filter=\"[[$:/status/IsLoggedIn]get[text]else[no]match[yes]]\" variable=\"ignore\">\n<$transclude tiddler=\"$:/core/ui/Buttons/save-wiki\" mode=\"inline\"/>\n</$list>\n<$list filter=\"[[$:/status/IsLoggedIn]get[text]else[no]match[no]]\" variable=\"ignore\">\n<$button message=\"tm-login\">\nLogin\n</$button>\n</$list>\n"
},
"$:/plugins/tiddlywiki/menubar/items/sidebar": {
"title": "$:/plugins/tiddlywiki/menubar/items/sidebar",
"caption": "Sidebar",
"description": "Sidebar",
"is-dropdown": "yes",
"tags": "$:/tags/MenuBar",
"text": "<$scrollable fallthrough=\"none\" class=\"tc-popup-keep tc-menubar-dropdown-sidebar\">\n\n<$transclude tiddler=\"$:/core/ui/SideBarSegments/tabs\" mode=\"inline\"/>\n\n</$scrollable>\n"
},
"$:/plugins/tiddlywiki/menubar/items/topleftbar": {
"title": "$:/plugins/tiddlywiki/menubar/items/topleftbar",
"tags": "$:/tags/MenuBar",
"description": "Items from $:/tags/TopLeftBar",
"caption": "Legacy Top Left Bar",
"custom-menu-content": "<$transclude tiddler=\"$:/plugins/tiddlywiki/menubar/items/topleftbar\" mode=\"inline\"/>",
"text": "<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TopLeftBar]!has[draft.of]]\" variable=\"listItem\" storyview=\"pop\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$list>"
},
"$:/plugins/tiddlywiki/menubar/items/toprightbar": {
"title": "$:/plugins/tiddlywiki/menubar/items/toprightbar",
"tags": "$:/tags/MenuBar",
"description": "Items from $:/tags/TopRightBar",
"caption": "Legacy Top Right Bar",
"custom-menu-content": "<$transclude tiddler=\"$:/plugins/tiddlywiki/menubar/items/toprightbar\" mode=\"inline\"/>",
"custom-menu-styles-wide": "float: right;",
"text": "<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TopRightBar]!has[draft.of]reverse[]]\" variable=\"listItem\" storyview=\"pop\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$list>"
},
"$:/plugins/tiddlywiki/menubar/menu": {
"title": "$:/plugins/tiddlywiki/menubar/menu",
"tags": "$:/tags/PageTemplate",
"text": "\\define menubar-inner(size)\n<ul class=\"tc-menubar-list\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/MenuBar]!has[draft.of]]\">\n<$list filter=\"[<currentTiddler>addprefix[$:/config/plugins/menubar/MenuItems/Visibility/]get[text]] ~show +[match[show]]\" variable=\"ignore\">\n<$list filter=\"[[$size$]match[wide]] ~[<currentTiddler>get[show-when]match[$size$]] ~[{$:/state/popup/menubar/hamburger}match[yes]]\" variable=\"ignore\">\n<li style={{!!custom-menu-styles-$size$}} class={{{ [<currentTiddler>get[show-when]addprefix[tc-menubar-]] tc-menubar-item +[join[ ]] }}}>\n<$list filter=\"[<currentTiddler>!is-dropdown[yes]]\" variable=\"listItem\" emptyMessage=\"\"\"\n\t<!-- Dropdown -->\n\t<$set name=\"dropdown-state\" value=<<qualify \"$:/state/popup/topmenu/dropdown/\">>>\n\t<$set name=\"dropdown-state\" value={{{ [<dropdown-state>addsuffix<currentTiddler>] }}}>\n\t<$button popup=<<dropdown-state>> selectedClass=\"tc-selected\">\n\t<$set name=\"tv-wikilinks\" value=\"no\">\n\t<$transclude field=\"caption\" mode=\"inline\"/>\n\t<$text text=\" \"/>\n\t<span class=\"tc-menubar-dropdown-arrow\">\n\t<$transclude tiddler=\"$:/core/images/down-arrow\" mode=\"inline\"/>\n\t</span>\n\t</$set>\n\t</$button>\n\t</$set>\n\t</$set>\n\"\"\">\n<$list filter=\"[<currentTiddler>has[custom-menu-content]]\" variable=\"listItem\" emptyMessage=\"\"\"\n\t<!-- Link -->\n\t<$link to={{!!target}}>\n\t<$set name=\"tv-wikilinks\" value=\"no\">\n\t<$transclude field=\"caption\" mode=\"inline\"/>\n\t</$set>\n\t</$link>\n\"\"\">\n<!-- Custom content -->\n<$transclude field=\"custom-menu-content\" mode=\"inline\"/>\n</$list>\n</$list>\n</li>\n</$list>\n</$list>\n</$list>\n</ul>\n\\end\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/MenuBar]!has[draft.of]limit[1]]\" variable=\"listItem\">\n<nav class=\"tc-menubar tc-adjust-top-of-scroll\">\n<div class=\"tc-menubar-narrow\">\n<<menubar-inner narrow>>\n</div>\n<div class=\"tc-menubar-wide\">\n<<menubar-inner wide>>\n</div>\n<div style=\"clear:both;\"/>\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/MenuBar]!has[draft.of]is-dropdown[yes]]\">\n<$list filter=\"[<currentTiddler>addprefix[$:/config/plugins/menubar/MenuItems/Visibility/]get[text]] ~show +[match[show]]\" variable=\"ignore\">\n<$set name=\"dropdown-state\" value=<<qualify \"$:/state/popup/topmenu/dropdown/\">>>\n<$set name=\"dropdown-state\" value={{{ [<dropdown-state>addsuffix<currentTiddler>] }}}>\n<$reveal type=\"popup\" state=<<dropdown-state>> class={{{ [<currentTiddler>get[dropdown]get[class]] }}} tag=\"div\">\n<div class=\"tc-drop-down\">\n<$transclude/>\n</div>\n</$reveal>\n</$set>\n</$set>\n</$list>\n</$list>\n</nav>\n</$list>\n"
},
"$:/core/ui/PageTemplate/topleftbar": {
"title": "$:/core/ui/PageTemplate/topleftbar",
"text": "<!-- The menubar plugin overrides this tiddler to remove the core top left menu. The menu items that it would include are instead included in the menubar -->"
},
"$:/core/ui/PageTemplate/toprightbar": {
"title": "$:/core/ui/PageTemplate/toprightbar",
"text": "<!-- The menubar plugin overrides this tiddler to remove the core top right menu. The menu items that it would include are instead included in the menubar -->"
},
"$:/plugins/tiddlywiki/menubar/readme": {
"title": "$:/plugins/tiddlywiki/menubar/readme",
"text": "!! Introduction\n\nThis plugin provides a menu bar with the following features:\n\n* Menu items take the form of simple text links, dropdowns, or entirely custom content\n* Menu items can be individually enabled via the control panel\n* Responds to reduced screen width by abbreviating the menu items to a \"hamburger\" dropdown\n\n!! Menu Item Tiddlers\n\nMenu items are tagged <<tag $:/tags/MenuBar>>. The following fields are used by this plugin:\n\n|!Field Name |!Purpose |\n|title |Each menu item must have a unique title (not shown to the user) |\n|description |Description for use in listings |\n|tags |Must contain `$:/tags/MenuBar` |\n|caption |The text that is displayed for the menu item. Avoid links, using `~` to suppress CamelCase links if required |\n|target |For simple link menu items specifies a tiddler title as the target of the link |\n|is-dropdown |Set to `yes` to indicate a dropdown menu item |\n|text |For dropdown menu items, specifies the body of the dropdown |\n|custom-menu-content |Optional wikitext to be displayed in place of the caption |\n|custom-menu-styles-wide |Optional string of styles to be applied to menu item when the menubar is wide |\n|custom-menu-styles-narrow |Optional string of styles to be applied to menu item when the menubar is narrow |\n\nCustom menu items should make sure that the clickable link or button is an immediate child, and not wrapped in another element.\n\nNote that menu items can be pushed to the right of the menu bar setting the ''custom-menu-styles'' field to `float: right;`.\n"
},
"$:/plugins/tiddlywiki/menubar/styles": {
"title": "$:/plugins/tiddlywiki/menubar/styles",
"tags": "[[$:/tags/Stylesheet]]",
"text": "\\define breakpoint-plus-one()\n<$text text={{{ [{$:/config/plugins/menubar/breakpoint}removesuffix[px]add[1]addsuffix[px]] }}} />\n\\end\n\n\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline\n\nnav.tc-menubar {\n\tposition: fixed;\n\tz-index: 850;\n\tdisplay: inline-block;\n\ttop: 0;\n\tright: 0;\n\tleft: 0;\n}\n\nnav.tc-menubar ul.tc-menubar-list {\n\tposition: relative;\n\tlist-style-type: none;\n\tmargin: 0;\n\tpadding: 0 0 0 42px;\n\tbackground: <<colour background>>;\n\tbackground: <<colour menubar-background>>;\n\t<<box-shadow \"1px 1px 5px rgba(0, 0, 0, 0.3)\">>\n}\n\n@media (max-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n\thtml nav.tc-menubar ul.tc-menubar-list {\n\t\tpadding: 0 0 0 8px;\n\t}\n\n}\n\nnav.tc-menubar li.tc-menubar-item {\n\tdisplay: inline-block;\n\tmargin: 0;\n\tpadding: 0;\n}\n\nnav.tc-menubar .tc-menubar-narrow li.tc-menubar-item {\n\tdisplay: block;\n}\n\nnav.tc-menubar li.tc-menubar-item > a,\nnav.tc-menubar li.tc-menubar-item > button {\n\tdisplay: inline-block;\n/*\ttext-transform: uppercase; */\n\tline-height: 1;\n\tfont-weight: 700;\n\tcolor: <<colour foreground>>;\n\tcolor: <<colour menubar-foreground>>;\n\tfill: <<colour foreground>>;\n\tfill: <<colour menubar-foreground>>;\n\ttext-decoration: none;\n\tpadding: 0.5em;\n\tmargin: 0;\n\tbackground: none;\n\tborder: none;\n\tcursor: pointer;\n\tborder-radius: 0;\n\ttext-decoration: none;\n}\n\nnav.tc-menubar li.tc-menubar-item > a.tc-selected,\nnav.tc-menubar li.tc-menubar-item > button.tc-selected {\n\tbackground: <<colour foreground>>;\n\tbackground: <<colour menubar-foreground>>;\n\tcolor: <<colour background>>;\n\tcolor: <<colour menubar-background>>;\n\tfill: <<colour background>>;\n\tfill: <<colour menubar-background>>;\n}\n\nnav.tc-menubar li.tc-menubar-item svg {\n\ttransition: none;\n\twidth: 1em;\n\theight: 1em;\n\tfill: <<colour foreground>>;\n\tfill: <<colour menubar-foreground>>;\n}\n\nnav.tc-menubar li.tc-menubar-item .tc-menubar-dropdown-arrow svg {\n\twidth: 0.5em;\n\theight: 0.5em;\n}\n\nnav.tc-menubar li.tc-menubar-item > a.tc-selected svg,\nnav.tc-menubar li.tc-menubar-item > button.tc-selected svg {\n\tfill: <<colour background>>;\n\tfill: <<colour menubar-background>>;\n}\n\nnav.tc-menubar li.tc-menubar-item > a:hover,\nnav.tc-menubar li.tc-menubar-item > button:hover svg,\nnav.tc-menubar li.tc-menubar-item > button:hover {\n\tbackground: <<colour foreground>>;\n\tbackground: <<colour menubar-foreground>>;\n\tcolor: <<colour background>>;\n\tcolor: <<colour menubar-background>>;\n\tfill: <<colour background>>;\n\tfill: <<colour menubar-background>>;\n\tborder-radius: 0;\n\ttext-decoration: none;\n}\n\nnav.tc-menubar li.tc-menubar-item > a:active,\nnav.tc-menubar li.tc-menubar-item > button:active svg,\nnav.tc-menubar li.tc-menubar-item > button:active {\n\tbackground: <<colour foreground>>;\n\tbackground: <<colour menubar-foreground>>;\n\tcolor: <<colour background>>;\n\tcolor: <<colour menubar-background>>;\n\tfill: <<colour background>>;\n\tfill: <<colour menubar-background>>;\n\tborder-radius: 0;\n\ttext-decoration: none;\n}\n\nnav.tc-menubar .tc-drop-down,\nnav.tc-menubar .tc-block-dropdown {\n\tmax-width: 70vw;\n\tmax-height: 70vh;\n\toverflow: auto;\n}\n\nnav.tc-menubar .tc-drop-down a {\n\ttext-decoration: none;\n}\n\nnav.tc-menubar .tc-drop-down .tc-table-of-contents button {\n\tdisplay: inline-block;\n\twidth: auto;\n}\n\nnav.tc-menubar .tc-drop-down ol {\n\tmargin: 0;\n}\n\nnav.tc-menubar .tc-drop-down .tc-menubar-dropdown-sidebar a,\nnav.tc-menubar .tc-drop-down .tc-menubar-dropdown-sidebar button {\n\tdisplay: inline;\n\twidth: auto;\n}\n\nnav.tc-menubar .tc-more-sidebar > .tc-tab-set > .tc-tab-buttons > button {\n\tdisplay: block;\n\twidth: 100%;\n}\n\n@media (max-width: {{$:/config/plugins/menubar/breakpoint}}) {\n\n\t.tc-menubar-wide {\n\t\tdisplay: none;\n\t}\n\n}\n\n@media (min-width: <<breakpoint-plus-one>>) {\n\n\tnav.tc-menubar li.tc-menubar-item.tc-menubar-narrow,\n\t.tc-menubar-narrow {\n\t\tdisplay: none;\n\t}\n\n}\n\n\n"
},
"$:/tags/MenuBar": {
"title": "$:/tags/MenuBar",
"list": "$:/plugins/tiddlywiki/menubar/items/hamburger $:/plugins/tiddlywiki/menubar/items/topleftbar $:/plugins/tiddlywiki/menubar/items/contents $:/plugins/tiddlywiki/menubar/items/search $:/plugins/tiddlywiki/menubar/items/pagecontrols $:/plugins/tiddlywiki/menubar/items/server $:/plugins/tiddlywiki/menubar/items/toprightbar"
}
}
}
$:/core/ui/TiddlerInfo/References
$:/core/ui/AdvancedSearch/Standard
$:/core/ui/TiddlerInfo/References
$:/core/ui/TiddlerInfo/References
$:/core/ui/TiddlerInfo/References
$:/themes/tiddlywiki/vanilla/themetweaks
$:/core/ui/ControlPanel/Basics
$:/core/ui/ControlPanel/Plugins/Add/Plugins
$:/core/ui/TiddlerInfo/References
$:/core/ui/TiddlerInfo/References
$:/core/ui/ControlPanel/Plugins/Installed/Plugins
$:/core/ui/ControlPanel/TiddlerFields
$:/core/ui/TiddlerInfo/References
$:/core/ui/TiddlerInfo/References
$:/core/ui/TiddlerInfo/References
$:/core/ui/ControlPanel/Plugins
$:/core/ui/MoreSideBar/Recent
$:/core/ui/SideBar/Recent
{
"tiddlers": {
"$:/info/browser": {
"title": "$:/info/browser",
"text": "yes"
},
"$:/info/node": {
"title": "$:/info/node",
"text": "no"
},
"$:/info/url/full": {
"title": "$:/info/url/full",
"text": "file:///D:/DIS/TWDS/st6.html"
},
"$:/info/url/host": {
"title": "$:/info/url/host",
"text": ""
},
"$:/info/url/hostname": {
"title": "$:/info/url/hostname",
"text": ""
},
"$:/info/url/protocol": {
"title": "$:/info/url/protocol",
"text": "file:"
},
"$:/info/url/port": {
"title": "$:/info/url/port",
"text": ""
},
"$:/info/url/pathname": {
"title": "$:/info/url/pathname",
"text": "/D:/DIS/TWDS/st6.html"
},
"$:/info/url/search": {
"title": "$:/info/url/search",
"text": ""
},
"$:/info/url/origin": {
"title": "$:/info/url/origin",
"text": "file://"
},
"$:/info/browser/screen/width": {
"title": "$:/info/browser/screen/width",
"text": "1920"
},
"$:/info/browser/screen/height": {
"title": "$:/info/browser/screen/height",
"text": "1080"
},
"$:/info/browser/language": {
"title": "$:/info/browser/language",
"text": "ru-RU"
}
}
}
{
"tiddlers": {
"$:/themes/tiddlywiki/snowwhite/base": {
"title": "$:/themes/tiddlywiki/snowwhite/base",
"tags": "[[$:/tags/Stylesheet]]",
"text": "\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline\n\n.tc-sidebar-header {\n\ttext-shadow: 0 1px 0 <<colour sidebar-foreground-shadow>>;\n}\n\n.tc-tiddler-info {\n\t<<box-shadow \"inset 1px 2px 3px rgba(0,0,0,0.1)\">>\n}\n\n@media screen {\n\t.tc-tiddler-frame {\n\t\t<<box-shadow \"1px 1px 5px rgba(0, 0, 0, 0.3)\">>\n\t}\n}\n\n@media (max-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\t.tc-tiddler-frame {\n\t\t<<box-shadow none>>\n\t}\n}\n\n.tc-page-controls button svg, .tc-tiddler-controls button svg, .tc-topbar button svg {\n\t<<transition \"fill 150ms ease-in-out\">>\n}\n\n.tc-tiddler-controls button.tc-selected,\n.tc-page-controls button.tc-selected {\n\t<<filter \"drop-shadow(0px -1px 2px rgba(0,0,0,0.25))\">>\n}\n\n.tc-tiddler-frame input.tc-edit-texteditor {\n\t<<box-shadow \"inset 0 1px 8px rgba(0, 0, 0, 0.15)\">>\n}\n\n.tc-edit-tags {\n\t<<box-shadow \"inset 0 1px 8px rgba(0, 0, 0, 0.15)\">>\n}\n\n.tc-tiddler-frame .tc-edit-tags input.tc-edit-texteditor {\n\t<<box-shadow \"none\">>\n\tborder: none;\n\toutline: none;\n}\n\ntextarea.tc-edit-texteditor {\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/editorfontfamily}};\n}\n\ncanvas.tc-edit-bitmapeditor {\n\t<<box-shadow \"2px 2px 5px rgba(0, 0, 0, 0.5)\">>\n}\n\n.tc-drop-down {\n\tborder-radius: 4px;\n\t<<box-shadow \"2px 2px 10px rgba(0, 0, 0, 0.5)\">>\n}\n\n.tc-block-dropdown {\n\tborder-radius: 4px;\n\t<<box-shadow \"2px 2px 10px rgba(0, 0, 0, 0.5)\">>\n}\n\n.tc-modal {\n\tborder-radius: 6px;\n\t<<box-shadow \"0 3px 7px rgba(0,0,0,0.3)\">>\n}\n\n.tc-modal-footer {\n\tborder-radius: 0 0 6px 6px;\n\t<<box-shadow \"inset 0 1px 0 #fff\">>;\n}\n\n\n.tc-alert {\n\tborder-radius: 6px;\n\t<<box-shadow \"0 3px 7px rgba(0,0,0,0.6)\">>\n}\n\n.tc-notification {\n\tborder-radius: 6px;\n\t<<box-shadow \"0 3px 7px rgba(0,0,0,0.3)\">>\n\ttext-shadow: 0 1px 0 rgba(255,255,255, 0.8);\n}\n\n.tc-sidebar-lists .tc-tab-set .tc-tab-divider {\n\tborder-top: none;\n\theight: 1px;\n\t<<background-linear-gradient \"left, rgba(0,0,0,0.15) 0%, rgba(0,0,0,0.0) 100%\">>\n}\n\n.tc-more-sidebar > .tc-tab-set > .tc-tab-buttons > button {\n\t<<background-linear-gradient \"left, rgba(0,0,0,0.01) 0%, rgba(0,0,0,0.1) 100%\">>\n}\n\n.tc-more-sidebar > .tc-tab-set > .tc-tab-buttons > button.tc-tab-selected {\n\t<<background-linear-gradient \"left, rgba(0,0,0,0.05) 0%, rgba(255,255,255,0.05) 100%\">>\n}\n\n.tc-message-box img {\n\t<<box-shadow \"1px 1px 3px rgba(0,0,0,0.5)\">>\n}\n\n.tc-plugin-info {\n\t<<box-shadow \"1px 1px 3px rgba(0,0,0,0.5)\">>\n}\n"
}
}
}
{
"tiddlers": {
"$:/themes/tiddlywiki/vanilla/themetweaks": {
"title": "$:/themes/tiddlywiki/vanilla/themetweaks",
"tags": "$:/tags/ControlPanel/Appearance",
"caption": "{{$:/language/ThemeTweaks/ThemeTweaks}}",
"text": "\\define lingo-base() $:/language/ThemeTweaks/\n\n\\define replacement-text()\n[img[$(imageTitle)$]]\n\\end\n\n\\define backgroundimage-dropdown()\n<div class=\"tc-drop-down-wrapper\">\n<$button popup=<<qualify \"$:/state/popup/themetweaks/backgroundimage\">> class=\"tc-btn-invisible tc-btn-dropdown\">{{$:/core/images/down-arrow}}</$button>\n<$reveal state=<<qualify \"$:/state/popup/themetweaks/backgroundimage\">> type=\"popup\" position=\"belowleft\" text=\"\" default=\"\">\n<div class=\"tc-drop-down\">\n<$macrocall $name=\"image-picker\" actions=\"\"\"\n\n<$action-setfield\n\t$tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimage\"\n\t$value=<<imageTitle>>\n/>\n\n\"\"\"/>\n</div>\n</$reveal>\n</div>\n\\end\n\n\\define backgroundimageattachment-dropdown()\n<$select tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment\" default=\"scroll\">\n<option value=\"scroll\"><<lingo Settings/BackgroundImageAttachment/Scroll>></option>\n<option value=\"fixed\"><<lingo Settings/BackgroundImageAttachment/Fixed>></option>\n</$select>\n\\end\n\n\\define backgroundimagesize-dropdown()\n<$select tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize\" default=\"scroll\">\n<option value=\"auto\"><<lingo Settings/BackgroundImageSize/Auto>></option>\n<option value=\"cover\"><<lingo Settings/BackgroundImageSize/Cover>></option>\n<option value=\"contain\"><<lingo Settings/BackgroundImageSize/Contain>></option>\n</$select>\n\\end\n\n<<lingo ThemeTweaks/Hint>>\n\n! <<lingo Options>>\n\n|<$link to=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\"><<lingo Options/SidebarLayout>></$link> |<$select tiddler=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\"><option value=\"fixed-fluid\"><<lingo Options/SidebarLayout/Fixed-Fluid>></option><option value=\"fluid-fixed\"><<lingo Options/SidebarLayout/Fluid-Fixed>></option></$select> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/options/stickytitles\"><<lingo Options/StickyTitles>></$link><br>//<<lingo Options/StickyTitles/Hint>>// |<$select tiddler=\"$:/themes/tiddlywiki/vanilla/options/stickytitles\"><option value=\"no\">{{$:/language/No}}</option><option value=\"yes\">{{$:/language/Yes}}</option></$select> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/options/codewrapping\"><<lingo Options/CodeWrapping>></$link> |<$select tiddler=\"$:/themes/tiddlywiki/vanilla/options/codewrapping\"><option value=\"pre\">{{$:/language/No}}</option><option value=\"pre-wrap\">{{$:/language/Yes}}</option></$select> |\n\n! <<lingo Settings>>\n\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/fontfamily\"><<lingo Settings/FontFamily>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/fontfamily\" default=\"\" tag=\"input\"/> | |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/codefontfamily\"><<lingo Settings/CodeFontFamily>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/codefontfamily\" default=\"\" tag=\"input\"/> | |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/editorfontfamily\"><<lingo Settings/EditorFontFamily>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/editorfontfamily\" default=\"\" tag=\"input\"/> | |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimage\"><<lingo Settings/BackgroundImage>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimage\" default=\"\" tag=\"input\"/> |<<backgroundimage-dropdown>> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment\"><<lingo Settings/BackgroundImageAttachment>></$link> |<<backgroundimageattachment-dropdown>> | |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize\"><<lingo Settings/BackgroundImageSize>></$link> |<<backgroundimagesize-dropdown>> | |\n\n! <<lingo Metrics>>\n\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/fontsize\"><<lingo Metrics/FontSize>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/fontsize\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/lineheight\"><<lingo Metrics/LineHeight>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/lineheight\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize\"><<lingo Metrics/BodyFontSize>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/bodylineheight\"><<lingo Metrics/BodyLineHeight>></$link> |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/bodylineheight\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storyleft\"><<lingo Metrics/StoryLeft>></$link><br>//<<lingo Metrics/StoryLeft/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storyleft\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storytop\"><<lingo Metrics/StoryTop>></$link><br>//<<lingo Metrics/StoryTop/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storytop\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storyright\"><<lingo Metrics/StoryRight>></$link><br>//<<lingo Metrics/StoryRight/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storyright\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/storywidth\"><<lingo Metrics/StoryWidth>></$link><br>//<<lingo Metrics/StoryWidth/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storywidth\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth\"><<lingo Metrics/TiddlerWidth>></$link><br>//<<lingo Metrics/TiddlerWidth/Hint>>//<br> |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint\"><<lingo Metrics/SidebarBreakpoint>></$link><br>//<<lingo Metrics/SidebarBreakpoint/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth\"><<lingo Metrics/SidebarWidth>></$link><br>//<<lingo Metrics/SidebarWidth/Hint>>// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth\" default=\"\" tag=\"input\"/> |\n"
},
"$:/themes/tiddlywiki/vanilla/base": {
"title": "$:/themes/tiddlywiki/vanilla/base",
"tags": "[[$:/tags/Stylesheet]]",
"text": "\\define custom-background-datauri()\n<$set name=\"background\" value={{$:/themes/tiddlywiki/vanilla/settings/backgroundimage}}>\n<$list filter=\"[<background>is[image]]\">\n`background: url(`\n<$list filter=\"[<background>!has[_canonical_uri]]\">\n`\"`<$macrocall $name=\"datauri\" title={{$:/themes/tiddlywiki/vanilla/settings/backgroundimage}}/>`\"`\n</$list>\n<$list filter=\"[<background>has[_canonical_uri]]\">\n`\"`<$view tiddler={{$:/themes/tiddlywiki/vanilla/settings/backgroundimage}} field=\"_canonical_uri\"/>`\"`\n</$list>\n`) center center;`\n`background-attachment: `{{$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment}}`;\n-webkit-background-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;\n-moz-background-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;\n-o-background-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;\nbackground-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;`\n</$list>\n</$set>\n\\end\n\n\\define if-fluid-fixed(text,hiddenSidebarText)\n<$reveal state=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\" type=\"match\" text=\"fluid-fixed\">\n$text$\n<$reveal state=\"$:/state/sidebar\" type=\"nomatch\" text=\"yes\" default=\"yes\">\n$hiddenSidebarText$\n</$reveal>\n</$reveal>\n\\end\n\n\\define if-editor-height-fixed(then,else)\n<$reveal state=\"$:/config/TextEditor/EditorHeight/Mode\" type=\"match\" text=\"fixed\">\n$then$\n</$reveal>\n<$reveal state=\"$:/config/TextEditor/EditorHeight/Mode\" type=\"match\" text=\"auto\">\n$else$\n</$reveal>\n\\end\n\n\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline macrocallblock\n\n/*\n** Start with the normalize CSS reset, and then belay some of its effects\n*/\n\n{{$:/themes/tiddlywiki/vanilla/reset}}\n\n*, input[type=\"search\"] {\n\tbox-sizing: border-box;\n\t-moz-box-sizing: border-box;\n\t-webkit-box-sizing: border-box;\n}\n\nhtml button {\n\tline-height: 1.2;\n\tcolor: <<colour button-foreground>>;\n\tbackground: <<colour button-background>>;\n\tborder-color: <<colour button-border>>;\n}\n\n/*\n** Basic element styles\n*/\n\nhtml {\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/fontfamily}};\n\ttext-rendering: optimizeLegibility; /* Enables kerning and ligatures etc. */\n\t-webkit-font-smoothing: antialiased;\n\t-moz-osx-font-smoothing: grayscale;\n}\n\nhtml:-webkit-full-screen {\n\tbackground-color: <<colour page-background>>;\n}\n\nbody.tc-body {\n\tfont-size: {{$:/themes/tiddlywiki/vanilla/metrics/fontsize}};\n\tline-height: {{$:/themes/tiddlywiki/vanilla/metrics/lineheight}};\n\tword-wrap: break-word;\n\t<<custom-background-datauri>>\n\tcolor: <<colour foreground>>;\n\tbackground-color: <<colour page-background>>;\n\tfill: <<colour foreground>>;\n}\n\n<<if-background-attachment \"\"\"\n\nbody.tc-body {\n background-color: transparent;\n}\n\n\"\"\">>\n\nh1, h2, h3, h4, h5, h6 {\n\tline-height: 1.2;\n\tfont-weight: 300;\n}\n\npre {\n\tdisplay: block;\n\tpadding: 14px;\n\tmargin-top: 1em;\n\tmargin-bottom: 1em;\n\tword-break: normal;\n\tword-wrap: break-word;\n\twhite-space: {{$:/themes/tiddlywiki/vanilla/options/codewrapping}};\n\tbackground-color: <<colour pre-background>>;\n\tborder: 1px solid <<colour pre-border>>;\n\tpadding: 0 3px 2px;\n\tborder-radius: 3px;\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/codefontfamily}};\n}\n\ncode {\n\tcolor: <<colour code-foreground>>;\n\tbackground-color: <<colour code-background>>;\n\tborder: 1px solid <<colour code-border>>;\n\twhite-space: {{$:/themes/tiddlywiki/vanilla/options/codewrapping}};\n\tpadding: 0 3px 2px;\n\tborder-radius: 3px;\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/codefontfamily}};\n}\n\nblockquote {\n\tborder-left: 5px solid <<colour blockquote-bar>>;\n\tmargin-left: 25px;\n\tpadding-left: 10px;\n\tquotes: \"\\201C\"\"\\201D\"\"\\2018\"\"\\2019\";\n}\n\nblockquote > div {\n\tmargin-top: 1em;\n\tmargin-bottom: 1em;\n}\n\nblockquote.tc-big-quote {\n\tfont-family: Georgia, serif;\n\tposition: relative;\n\tbackground: <<colour pre-background>>;\n\tborder-left: none;\n\tmargin-left: 50px;\n\tmargin-right: 50px;\n\tpadding: 10px;\n border-radius: 8px;\n}\n\nblockquote.tc-big-quote cite:before {\n\tcontent: \"\\2014 \\2009\";\n}\n\nblockquote.tc-big-quote:before {\n\tfont-family: Georgia, serif;\n\tcolor: <<colour blockquote-bar>>;\n\tcontent: open-quote;\n\tfont-size: 8em;\n\tline-height: 0.1em;\n\tmargin-right: 0.25em;\n\tvertical-align: -0.4em;\n\tposition: absolute;\n left: -50px;\n top: 42px;\n}\n\nblockquote.tc-big-quote:after {\n\tfont-family: Georgia, serif;\n\tcolor: <<colour blockquote-bar>>;\n\tcontent: close-quote;\n\tfont-size: 8em;\n\tline-height: 0.1em;\n\tmargin-right: 0.25em;\n\tvertical-align: -0.4em;\n\tposition: absolute;\n right: -80px;\n bottom: -20px;\n}\n\ndl dt {\n\tfont-weight: bold;\n\tmargin-top: 6px;\n}\n\nbutton, textarea, input, select {\n\toutline-color: <<colour primary>>;\n}\n\ntextarea,\ninput[type=text],\ninput[type=search],\ninput[type=\"\"],\ninput:not([type]) {\n\tcolor: <<colour foreground>>;\n\tbackground: <<colour background>>;\n}\n\ninput[type=\"checkbox\"] {\n vertical-align: middle;\n}\n\n.tc-muted {\n\tcolor: <<colour muted-foreground>>;\n}\n\nsvg.tc-image-button {\n\tpadding: 0px 1px 1px 0px;\n}\n\n.tc-icon-wrapper > svg {\n\twidth: 1em;\n\theight: 1em;\n}\n\nkbd {\n\tdisplay: inline-block;\n\tpadding: 3px 5px;\n\tfont-size: 0.8em;\n\tline-height: 1.2;\n\tcolor: <<colour foreground>>;\n\tvertical-align: middle;\n\tbackground-color: <<colour background>>;\n\tborder: solid 1px <<colour muted-foreground>>;\n\tborder-bottom-color: <<colour muted-foreground>>;\n\tborder-radius: 3px;\n\tbox-shadow: inset 0 -1px 0 <<colour muted-foreground>>;\n}\n\n/*\nMarkdown likes putting code elements inside pre elements\n*/\npre > code {\n\tpadding: 0;\n\tborder: none;\n\tbackground-color: inherit;\n\tcolor: inherit;\n}\n\ntable {\n\tborder: 1px solid <<colour table-border>>;\n\twidth: auto;\n\tmax-width: 100%;\n\tcaption-side: bottom;\n\tmargin-top: 1em;\n\tmargin-bottom: 1em;\n\t/* next 2 elements needed, since normalize 8.0.1 */\n\tborder-collapse: collapse;\n\tborder-spacing: 0;\n}\n\ntable th, table td {\n\tpadding: 0 7px 0 7px;\n\tborder-top: 1px solid <<colour table-border>>;\n\tborder-left: 1px solid <<colour table-border>>;\n}\n\ntable thead tr td, table th {\n\tbackground-color: <<colour table-header-background>>;\n\tfont-weight: bold;\n}\n\ntable tfoot tr td {\n\tbackground-color: <<colour table-footer-background>>;\n}\n\n.tc-csv-table {\n\twhite-space: nowrap;\n}\n\n.tc-tiddler-frame img,\n.tc-tiddler-frame svg,\n.tc-tiddler-frame canvas,\n.tc-tiddler-frame embed,\n.tc-tiddler-frame iframe {\n\tmax-width: 100%;\n}\n\n.tc-tiddler-body > embed,\n.tc-tiddler-body > iframe {\n\twidth: 100%;\n\theight: 600px;\n}\n\n/*\n** Links\n*/\n\nbutton.tc-tiddlylink,\na.tc-tiddlylink {\n\ttext-decoration: none;\n\tfont-weight: 500;\n\tcolor: <<colour tiddler-link-foreground>>;\n\t-webkit-user-select: inherit; /* Otherwise the draggable attribute makes links impossible to select */\n}\n\n.tc-sidebar-lists a.tc-tiddlylink {\n\tcolor: <<colour sidebar-tiddler-link-foreground>>;\n}\n\n.tc-sidebar-lists a.tc-tiddlylink:hover {\n\tcolor: <<colour sidebar-tiddler-link-foreground-hover>>;\n}\n\nbutton.tc-tiddlylink:hover,\na.tc-tiddlylink:hover {\n\ttext-decoration: underline;\n}\n\na.tc-tiddlylink-resolves {\n}\n\na.tc-tiddlylink-shadow {\n\tfont-weight: bold;\n}\n\na.tc-tiddlylink-shadow.tc-tiddlylink-resolves {\n\tfont-weight: normal;\n}\n\na.tc-tiddlylink-missing {\n\tfont-style: italic;\n}\n\na.tc-tiddlylink-external {\n\ttext-decoration: underline;\n\tcolor: <<colour external-link-foreground>>;\n\tbackground-color: <<colour external-link-background>>;\n}\n\na.tc-tiddlylink-external:visited {\n\tcolor: <<colour external-link-foreground-visited>>;\n\tbackground-color: <<colour external-link-background-visited>>;\n}\n\na.tc-tiddlylink-external:hover {\n\tcolor: <<colour external-link-foreground-hover>>;\n\tbackground-color: <<colour external-link-background-hover>>;\n}\n\n/*\n** Drag and drop styles\n*/\n\n.tc-tiddler-dragger {\n\tposition: relative;\n\tz-index: -10000;\n}\n\n.tc-tiddler-dragger-inner {\n\tposition: absolute;\n\ttop: -1000px;\n\tleft: -1000px;\n\tdisplay: inline-block;\n\tpadding: 8px 20px;\n\tfont-size: 16.9px;\n\tfont-weight: bold;\n\tline-height: 20px;\n\tcolor: <<colour dragger-foreground>>;\n\ttext-shadow: 0 1px 0 rgba(0, 0, 0, 1);\n\twhite-space: nowrap;\n\tvertical-align: baseline;\n\tbackground-color: <<colour dragger-background>>;\n\tborder-radius: 20px;\n}\n\n.tc-tiddler-dragger-cover {\n\tposition: absolute;\n\tbackground-color: <<colour page-background>>;\n}\n\n.tc-dropzone {\n\tposition: relative;\n}\n\n.tc-dropzone.tc-dragover:before {\n\tz-index: 10000;\n\tdisplay: block;\n\tposition: fixed;\n\ttop: 0;\n\tleft: 0;\n\tright: 0;\n\tbackground: <<colour dropzone-background>>;\n\ttext-align: center;\n\tcontent: \"<<lingo DropMessage>>\";\n}\n\n.tc-droppable > .tc-droppable-placeholder {\n\tdisplay: none;\n}\n\n.tc-droppable.tc-dragover > .tc-droppable-placeholder {\n\tdisplay: block;\n\tborder: 2px dashed <<colour dropzone-background>>;\n}\n\n.tc-draggable {\n\tcursor: move;\n}\n\n.tc-sidebar-tab-open .tc-droppable-placeholder, .tc-tagged-draggable-list .tc-droppable-placeholder,\n.tc-links-draggable-list .tc-droppable-placeholder {\n\tline-height: 2em;\n\theight: 2em;\n}\n\n.tc-sidebar-tab-open-item {\n\tposition: relative;\n}\n\n.tc-sidebar-tab-open .tc-btn-invisible.tc-btn-mini svg {\n\tfont-size: 0.7em;\n\tfill: <<colour muted-foreground>>;\n}\n\n/*\n** Plugin reload warning\n*/\n\n.tc-plugin-reload-warning {\n\tz-index: 1000;\n\tdisplay: block;\n\tposition: fixed;\n\ttop: 0;\n\tleft: 0;\n\tright: 0;\n\tbackground: <<colour alert-background>>;\n\ttext-align: center;\n}\n\n/*\n** Buttons\n*/\n\nbutton svg, button img, label svg, label img {\n\tvertical-align: middle;\n}\n\n.tc-btn-invisible {\n\tpadding: 0;\n\tmargin: 0;\n\tbackground: none;\n\tborder: none;\n \tcursor: pointer;\n\tcolor: <<colour foreground>>;\n}\n\n.tc-btn-boxed {\n\tfont-size: 0.6em;\n\tpadding: 0.2em;\n\tmargin: 1px;\n\tbackground: none;\n\tborder: 1px solid <<colour tiddler-controls-foreground>>;\n\tborder-radius: 0.25em;\n}\n\nhtml body.tc-body .tc-btn-boxed svg {\n\tfont-size: 1.6666em;\n}\n\n.tc-btn-boxed:hover {\n\tbackground: <<colour muted-foreground>>;\n\tcolor: <<colour background>>;\n}\n\nhtml body.tc-body .tc-btn-boxed:hover svg {\n\tfill: <<colour background>>;\n}\n\n.tc-btn-rounded {\n\tfont-size: 0.5em;\n\tline-height: 2;\n\tpadding: 0em 0.3em 0.2em 0.4em;\n\tmargin: 1px;\n\tborder: 1px solid <<colour muted-foreground>>;\n\tbackground: <<colour muted-foreground>>;\n\tcolor: <<colour background>>;\n\tborder-radius: 2em;\n}\n\nhtml body.tc-body .tc-btn-rounded svg {\n\tfont-size: 1.6666em;\n\tfill: <<colour background>>;\n}\n\n.tc-btn-rounded:hover {\n\tborder: 1px solid <<colour muted-foreground>>;\n\tbackground: <<colour background>>;\n\tcolor: <<colour muted-foreground>>;\n}\n\nhtml body.tc-body .tc-btn-rounded:hover svg {\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-btn-icon svg {\n\theight: 1em;\n\twidth: 1em;\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-btn-text {\n\tpadding: 0;\n\tmargin: 0;\n}\n\n/* used for documentation \"fake\" buttons */\n.tc-btn-standard {\n\tline-height: 1.8;\n\tcolor: #667;\n\tbackground-color: #e0e0e0;\n\tborder: 1px solid #888;\n\tpadding: 2px 1px 2px 1px;\n\tmargin: 1px 4px 1px 4px;\n}\n\n.tc-btn-big-green {\n\tdisplay: inline-block;\n\tpadding: 8px;\n\tmargin: 4px 8px 4px 8px;\n\tbackground: <<colour download-background>>;\n\tcolor: <<colour download-foreground>>;\n\tfill: <<colour download-foreground>>;\n\tborder: none;\n\tborder-radius: 2px;\n\tfont-size: 1.2em;\n\tline-height: 1.4em;\n\ttext-decoration: none;\n}\n\n.tc-btn-big-green svg,\n.tc-btn-big-green img {\n\theight: 2em;\n\twidth: 2em;\n\tvertical-align: middle;\n\tfill: <<colour download-foreground>>;\n}\n\n.tc-primary-btn {\n \tbackground: <<colour primary>>;\n}\n\n.tc-sidebar-lists input {\n\tcolor: <<colour foreground>>;\n}\n\n.tc-sidebar-lists button {\n\tcolor: <<colour sidebar-button-foreground>>;\n\tfill: <<colour sidebar-button-foreground>>;\n}\n\n.tc-sidebar-lists button.tc-btn-mini {\n\tcolor: <<colour sidebar-muted-foreground>>;\n}\n\n.tc-sidebar-lists button.tc-btn-mini:hover {\n\tcolor: <<colour sidebar-muted-foreground-hover>>;\n}\n\nbutton svg.tc-image-button, button .tc-image-button img {\n\theight: 1em;\n\twidth: 1em;\n}\n\n.tc-unfold-banner {\n\tposition: absolute;\n\tpadding: 0;\n\tmargin: 0;\n\tbackground: none;\n\tborder: none;\n\twidth: 100%;\n\twidth: calc(100% + 2px);\n\tmargin-left: -43px;\n\ttext-align: center;\n\tborder-top: 2px solid <<colour tiddler-info-background>>;\n\tmargin-top: 4px;\n}\n\n.tc-unfold-banner:hover {\n\tbackground: <<colour tiddler-info-background>>;\n\tborder-top: 2px solid <<colour tiddler-info-border>>;\n}\n\n.tc-unfold-banner svg, .tc-fold-banner svg {\n\theight: 0.75em;\n\tfill: <<colour tiddler-controls-foreground>>;\n}\n\n.tc-unfold-banner:hover svg, .tc-fold-banner:hover svg {\n\tfill: <<colour tiddler-controls-foreground-hover>>;\n}\n\n.tc-fold-banner {\n\tposition: absolute;\n\tpadding: 0;\n\tmargin: 0;\n\tbackground: none;\n\tborder: none;\n\twidth: 23px;\n\ttext-align: center;\n\tmargin-left: -35px;\n\ttop: 6px;\n\tbottom: 6px;\n}\n\n.tc-fold-banner:hover {\n\tbackground: <<colour tiddler-info-background>>;\n}\n\n@media (max-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n\t.tc-unfold-banner {\n\t\tposition: static;\n\t\twidth: calc(100% + 59px);\n\t}\n\n\t.tc-fold-banner {\n\t\twidth: 16px;\n\t\tmargin-left: -16px;\n\t\tfont-size: 0.75em;\n\t}\n\n}\n\n/*\n** Tags and missing tiddlers\n*/\n\n.tc-tag-list-item {\n\tposition: relative;\n\tdisplay: inline-block;\n\tmargin-right: 7px;\n}\n\n.tc-tags-wrapper {\n\tmargin: 4px 0 14px 0;\n}\n\n.tc-missing-tiddler-label {\n\tfont-style: italic;\n\tfont-weight: normal;\n\tdisplay: inline-block;\n\tfont-size: 11.844px;\n\tline-height: 14px;\n\twhite-space: nowrap;\n\tvertical-align: baseline;\n}\n\nbutton.tc-tag-label, span.tc-tag-label {\n\tdisplay: inline-block;\n\tpadding: 0.16em 0.7em;\n\tfont-size: 0.9em;\n\tfont-weight: 400;\n\tline-height: 1.2em;\n\tcolor: <<colour tag-foreground>>;\n\twhite-space: nowrap;\n\tvertical-align: baseline;\n\tbackground-color: <<colour tag-background>>;\n\tborder-radius: 1em;\n}\n\n.tc-sidebar-scrollable .tc-tag-label {\n\ttext-shadow: none;\n}\n\n.tc-untagged-separator {\n\twidth: 10em;\n\tleft: 0;\n\tmargin-left: 0;\n\tborder: 0;\n\theight: 1px;\n\tbackground: <<colour tab-divider>>;\n}\n\nbutton.tc-untagged-label {\n\tbackground-color: <<colour untagged-background>>;\n}\n\n.tc-tag-label svg, .tc-tag-label img {\n\theight: 1em;\n\twidth: 1em;\n\tmargin-right: 3px; \n\tmargin-bottom: 1px;\n\tvertical-align: text-bottom;\n}\n\n.tc-edit-tags button.tc-remove-tag-button svg {\n\tfont-size: 0.7em;\n\tvertical-align: middle;\n}\n\n.tc-tag-manager-table .tc-tag-label {\n\twhite-space: normal;\n}\n\n.tc-tag-manager-tag {\n\twidth: 100%;\n}\n\nbutton.tc-btn-invisible.tc-remove-tag-button {\n\toutline: none;\n}\n\n/*\n** Page layout\n*/\n\n.tc-topbar {\n\tposition: fixed;\n\tz-index: 1200;\n}\n\n.tc-topbar-left {\n\tleft: 29px;\n\ttop: 5px;\n}\n\n.tc-topbar-right {\n\ttop: 5px;\n\tright: 29px;\n}\n\n.tc-topbar button {\n\tpadding: 8px;\n}\n\n.tc-topbar svg {\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-topbar button:hover svg {\n\tfill: <<colour foreground>>;\n}\n\n.tc-sidebar-header {\n\tcolor: <<colour sidebar-foreground>>;\n\tfill: <<colour sidebar-foreground>>;\n}\n\n.tc-sidebar-header .tc-title a.tc-tiddlylink-resolves {\n\tfont-weight: 300;\n}\n\n.tc-sidebar-header .tc-sidebar-lists p {\n\tmargin-top: 3px;\n\tmargin-bottom: 3px;\n}\n\n.tc-sidebar-header .tc-missing-tiddler-label {\n\tcolor: <<colour sidebar-foreground>>;\n}\n\n.tc-advanced-search input {\n\twidth: 60%;\n}\n\n.tc-search a svg {\n\twidth: 1.2em;\n\theight: 1.2em;\n\tvertical-align: middle;\n}\n\n.tc-page-controls {\n\tmargin-top: 14px;\n\tfont-size: 1.5em;\n}\n\n.tc-page-controls .tc-drop-down {\n font-size: 1rem;\n}\n\n.tc-page-controls button {\n\tmargin-right: 0.5em;\n}\n\n.tc-page-controls a.tc-tiddlylink:hover {\n\ttext-decoration: none;\n}\n\n.tc-page-controls img {\n\twidth: 1em;\n}\n\n.tc-page-controls svg {\n\tfill: <<colour sidebar-controls-foreground>>;\n}\n\n.tc-page-controls button:hover svg, .tc-page-controls a:hover svg {\n\tfill: <<colour sidebar-controls-foreground-hover>>;\n}\n\n.tc-menu-list-item {\n\twhite-space: nowrap;\n}\n\n.tc-menu-list-count {\n\tfont-weight: bold;\n}\n\n.tc-menu-list-subitem {\n\tpadding-left: 7px;\n}\n\n.tc-story-river {\n\tposition: relative;\n}\n\n@media (max-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n\t.tc-sidebar-header {\n\t\tpadding: 14px;\n\t\tmin-height: 32px;\n\t\tmargin-top: {{$:/themes/tiddlywiki/vanilla/metrics/storytop}};\n\t}\n\n\t.tc-story-river {\n\t\tposition: relative;\n\t\tpadding: 0;\n\t}\n}\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n\t.tc-message-box {\n\t\tmargin: 21px -21px 21px -21px;\n\t}\n\n\t.tc-sidebar-scrollable {\n\t\tposition: fixed;\n\t\ttop: {{$:/themes/tiddlywiki/vanilla/metrics/storytop}};\n\t\tleft: {{$:/themes/tiddlywiki/vanilla/metrics/storyright}};\n\t\tbottom: 0;\n\t\tright: 0;\n\t\toverflow-y: auto;\n\t\toverflow-x: auto;\n\t\t-webkit-overflow-scrolling: touch;\n\t\tmargin: 0 0 0 -42px;\n\t\tpadding: 71px 0 28px 42px;\n\t}\n\n\thtml[dir=\"rtl\"] .tc-sidebar-scrollable {\n\t\tleft: auto;\n\t\tright: {{$:/themes/tiddlywiki/vanilla/metrics/storyright}};\n\t}\n\n\t.tc-story-river {\n\t\tposition: relative;\n\t\tleft: {{$:/themes/tiddlywiki/vanilla/metrics/storyleft}};\n\t\ttop: {{$:/themes/tiddlywiki/vanilla/metrics/storytop}};\n\t\twidth: {{$:/themes/tiddlywiki/vanilla/metrics/storywidth}};\n\t\tpadding: 42px 42px 42px 42px;\n\t}\n\n<<if-no-sidebar \"\n\n\t.tc-story-river {\n\t\twidth: calc(100% - {{$:/themes/tiddlywiki/vanilla/metrics/storyleft}});\n\t}\n\n\">>\n\n}\n\n@media print {\n\n\tbody.tc-body {\n\t\tbackground-color: transparent;\n\t}\n\n\t.tc-sidebar-header, .tc-topbar {\n\t\tdisplay: none;\n\t}\n\n\t.tc-story-river {\n\t\tmargin: 0;\n\t\tpadding: 0;\n\t}\n\n\t.tc-story-river .tc-tiddler-frame {\n\t\tmargin: 0;\n\t\tborder: none;\n\t\tpadding: 0;\n\t}\n}\n\n/*\n** Tiddler styles\n*/\n\n.tc-tiddler-frame {\n\tposition: relative;\n\tmargin-bottom: 28px;\n\tbackground-color: <<colour tiddler-background>>;\n\tborder: 1px solid <<colour tiddler-border>>;\n}\n\n{{$:/themes/tiddlywiki/vanilla/sticky}}\n\n.tc-tiddler-info {\n\tpadding: 14px 42px 14px 42px;\n\tbackground-color: <<colour tiddler-info-background>>;\n\tborder-top: 1px solid <<colour tiddler-info-border>>;\n\tborder-bottom: 1px solid <<colour tiddler-info-border>>;\n}\n\n.tc-tiddler-info p {\n\tmargin-top: 3px;\n\tmargin-bottom: 3px;\n}\n\n.tc-tiddler-info .tc-tab-buttons button.tc-tab-selected {\n\tbackground-color: <<colour tiddler-info-tab-background>>;\n\tborder-bottom: 1px solid <<colour tiddler-info-tab-background>>;\n}\n\n.tc-view-field-table {\n\twidth: 100%;\n}\n\n.tc-view-field-name {\n\twidth: 1%; /* Makes this column be as narrow as possible */\n\ttext-align: right;\n\tfont-style: italic;\n\tfont-weight: 200;\n}\n\n.tc-view-field-value {\n}\n\n@media (max-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\t.tc-tiddler-frame {\n\t\tpadding: 14px 14px 14px 14px;\n\t}\n\n\t.tc-tiddler-info {\n\t\tmargin: 0 -14px 0 -14px;\n\t}\n}\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\t.tc-tiddler-frame {\n\t\tpadding: 28px 42px 42px 42px;\n\t\twidth: {{$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth}};\n\t\tborder-radius: 2px;\n\t}\n\n<<if-no-sidebar \"\n\n\t.tc-tiddler-frame {\n\t\twidth: 100%;\n\t}\n\n\">>\n\n\t.tc-tiddler-info {\n\t\tmargin: 0 -42px 0 -42px;\n\t}\n}\n\n.tc-site-title,\n.tc-titlebar {\n\tfont-weight: 300;\n\tfont-size: 2.35em;\n\tline-height: 1.2em;\n\tcolor: <<colour tiddler-title-foreground>>;\n\tmargin: 0;\n}\n\n.tc-site-title {\n\tcolor: <<colour site-title-foreground>>;\n}\n\n.tc-tiddler-title-icon {\n\tvertical-align: middle;\n\tmargin-right: .1em;\n}\n\n.tc-system-title-prefix {\n\tcolor: <<colour muted-foreground>>;\n}\n\n.tc-titlebar h2 {\n\tfont-size: 1em;\n\tdisplay: inline;\n}\n\n.tc-titlebar img {\n\theight: 1em;\n}\n\n.tc-subtitle {\n\tfont-size: 0.9em;\n\tcolor: <<colour tiddler-subtitle-foreground>>;\n\tfont-weight: 300;\n}\n\n.tc-subtitle .tc-tiddlylink {\n\tmargin-right: .3em;\n}\n\n.tc-tiddler-missing .tc-title {\n font-style: italic;\n font-weight: normal;\n}\n\n.tc-tiddler-frame .tc-tiddler-controls {\n\tfloat: right;\n}\n\n.tc-tiddler-controls .tc-drop-down {\n\tfont-size: 0.6em;\n}\n\n.tc-tiddler-controls .tc-drop-down .tc-drop-down {\n\tfont-size: 1em;\n}\n\n.tc-tiddler-controls > span > button,\n.tc-tiddler-controls > span > span > button,\n.tc-tiddler-controls > span > span > span > button {\n\tvertical-align: baseline;\n\tmargin-left:5px;\n}\n\n.tc-tiddler-controls button svg, .tc-tiddler-controls button img,\n.tc-search button svg, .tc-search a svg {\n\tfill: <<colour tiddler-controls-foreground>>;\n}\n\n.tc-tiddler-controls button svg, .tc-tiddler-controls button img {\n\theight: 0.75em;\n}\n\n.tc-search button svg, .tc-search a svg {\n height: 1.2em;\n width: 1.2em;\n margin: 0 0.25em;\n}\n\n.tc-tiddler-controls button.tc-selected svg,\n.tc-page-controls button.tc-selected svg {\n\tfill: <<colour tiddler-controls-foreground-selected>>;\n}\n\n.tc-tiddler-controls button.tc-btn-invisible:hover svg,\n.tc-search button:hover svg, .tc-search a:hover svg {\n\tfill: <<colour tiddler-controls-foreground-hover>>;\n}\n\n@media print {\n\t.tc-tiddler-controls {\n\t\tdisplay: none;\n\t}\n}\n\n.tc-tiddler-help { /* Help prompts within tiddler template */\n\tcolor: <<colour muted-foreground>>;\n\tmargin-top: 14px;\n}\n\n.tc-tiddler-help a.tc-tiddlylink {\n\tcolor: <<colour very-muted-foreground>>;\n}\n\n.tc-tiddler-frame .tc-edit-texteditor {\n\twidth: 100%;\n\tmargin: 4px 0 4px 0;\n}\n\n.tc-tiddler-frame input.tc-edit-texteditor,\n.tc-tiddler-frame textarea.tc-edit-texteditor,\n.tc-tiddler-frame iframe.tc-edit-texteditor {\n\tpadding: 3px 3px 3px 3px;\n\tborder: 1px solid <<colour tiddler-editor-border>>;\n\tbackground-color: <<colour tiddler-editor-background>>;\n\tline-height: 1.3em;\n\t-webkit-appearance: none;\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/editorfontfamily}};\n}\n\n.tc-tiddler-frame .tc-binary-warning {\n\twidth: 100%;\n\theight: 5em;\n\ttext-align: center;\n\tpadding: 3em 3em 6em 3em;\n\tbackground: <<colour alert-background>>;\n\tborder: 1px solid <<colour alert-border>>;\n}\n\ncanvas.tc-edit-bitmapeditor {\n\tborder: 6px solid <<colour tiddler-editor-border-image>>;\n\tcursor: crosshair;\n\t-moz-user-select: none;\n\t-webkit-user-select: none;\n\t-ms-user-select: none;\n\tmargin-top: 6px;\n\tmargin-bottom: 6px;\n}\n\n.tc-edit-bitmapeditor-width {\n\tdisplay: block;\n}\n\n.tc-edit-bitmapeditor-height {\n\tdisplay: block;\n}\n\n.tc-tiddler-body {\n\tclear: both;\n}\n\n.tc-tiddler-frame .tc-tiddler-body {\n\tfont-size: {{$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize}};\n\tline-height: {{$:/themes/tiddlywiki/vanilla/metrics/bodylineheight}};\n}\n\n.tc-titlebar, .tc-tiddler-edit-title {\n\toverflow: hidden; /* https://github.com/Jermolene/TiddlyWiki5/issues/282 */\n}\n\nhtml body.tc-body.tc-single-tiddler-window {\n\tmargin: 1em;\n\tbackground: <<colour tiddler-background>>;\n}\n\n.tc-single-tiddler-window img,\n.tc-single-tiddler-window svg,\n.tc-single-tiddler-window canvas,\n.tc-single-tiddler-window embed,\n.tc-single-tiddler-window iframe {\n\tmax-width: 100%;\n}\n\n/*\n** Editor\n*/\n\n.tc-editor-toolbar {\n\tmargin-top: 8px;\n}\n\n.tc-editor-toolbar button {\n\tvertical-align: middle;\n\tbackground-color: <<colour tiddler-controls-foreground>>;\n\tcolor: <<colour tiddler-controls-foreground-selected>>;\n\tfill: <<colour tiddler-controls-foreground-selected>>;\n\tborder-radius: 4px;\n\tpadding: 3px;\n\tmargin: 2px 0 2px 4px;\n}\n\n.tc-editor-toolbar button.tc-text-editor-toolbar-item-adjunct {\n\tmargin-left: 1px;\n\twidth: 1em;\n\tborder-radius: 8px;\n}\n\n.tc-editor-toolbar button.tc-text-editor-toolbar-item-start-group {\n\tmargin-left: 11px;\n}\n\n.tc-editor-toolbar button.tc-selected {\n\tbackground-color: <<colour primary>>;\n}\n\n.tc-editor-toolbar button svg {\n\twidth: 1.6em;\n\theight: 1.2em;\n}\n\n.tc-editor-toolbar button:hover {\n\tbackground-color: <<colour tiddler-controls-foreground-selected>>;\n\tfill: <<colour background>>;\n\tcolor: <<colour background>>;\n}\n\n.tc-editor-toolbar .tc-text-editor-toolbar-more {\n\twhite-space: normal;\n}\n\n.tc-editor-toolbar .tc-text-editor-toolbar-more button {\n\tdisplay: inline-block;\n\tpadding: 3px;\n\twidth: auto;\n}\n\n.tc-editor-toolbar .tc-search-results {\n\tpadding: 0;\n}\n\n/*\n** Adjustments for fluid-fixed mode\n*/\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n<<if-fluid-fixed text:\"\"\"\n\n\t.tc-story-river {\n\t\tpadding-right: 0;\n\t\tposition: relative;\n\t\twidth: auto;\n\t\tleft: 0;\n\t\tmargin-left: {{$:/themes/tiddlywiki/vanilla/metrics/storyleft}};\n\t\tmargin-right: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth}};\n\t}\n\n\t.tc-tiddler-frame {\n\t\twidth: 100%;\n\t}\n\n\t.tc-sidebar-scrollable {\n\t\tleft: auto;\n\t\tbottom: 0;\n\t\tright: 0;\n\t\twidth: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth}};\n\t}\n\n\tbody.tc-body .tc-storyview-zoomin-tiddler {\n\t\twidth: 100%;\n\t\twidth: calc(100% - 42px);\n\t}\n\n\"\"\" hiddenSidebarText:\"\"\"\n\n\t.tc-story-river {\n\t\tpadding-right: 3em;\n\t\tmargin-right: 0;\n\t}\n\n\tbody.tc-body .tc-storyview-zoomin-tiddler {\n\t\twidth: 100%;\n\t\twidth: calc(100% - 84px);\n\t}\n\n\"\"\">>\n\n}\n\n/*\n** Toolbar buttons\n*/\n\n.tc-page-controls svg.tc-image-new-button {\n fill: <<colour toolbar-new-button>>;\n}\n\n.tc-page-controls svg.tc-image-options-button {\n fill: <<colour toolbar-options-button>>;\n}\n\n.tc-page-controls svg.tc-image-save-button {\n fill: <<colour toolbar-save-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-info-button {\n fill: <<colour toolbar-info-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-edit-button {\n fill: <<colour toolbar-edit-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-close-button {\n fill: <<colour toolbar-close-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-delete-button {\n fill: <<colour toolbar-delete-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-cancel-button {\n fill: <<colour toolbar-cancel-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-done-button {\n fill: <<colour toolbar-done-button>>;\n}\n\n/*\n** Tiddler edit mode\n*/\n\n.tc-tiddler-edit-frame em.tc-edit {\n\tcolor: <<colour muted-foreground>>;\n\tfont-style: normal;\n}\n\n.tc-edit-type-dropdown a.tc-tiddlylink-missing {\n\tfont-style: normal;\n}\n\n.tc-type-selector .tc-edit-typeeditor {\n\twidth: 20%;\n}\n\n.tc-edit-tags {\n\tborder: 1px solid <<colour tiddler-editor-border>>;\n\tpadding: 4px 8px 4px 8px;\n}\n\n.tc-edit-add-tag {\n\tdisplay: inline-block;\n}\n\n.tc-edit-add-tag .tc-add-tag-name input {\n\twidth: 50%;\n}\n\n.tc-edit-add-tag .tc-keyboard {\n\tdisplay:inline;\n}\n\n.tc-edit-tags .tc-tag-label {\n\tdisplay: inline-block;\n}\n\n.tc-edit-tags-list {\n\tmargin: 14px 0 14px 0;\n}\n\n.tc-remove-tag-button {\n\tpadding-left: 4px;\n}\n\n.tc-tiddler-preview {\n\toverflow: auto;\n}\n\n.tc-tiddler-preview-preview {\n\tfloat: right;\n\twidth: 49%;\n\tborder: 1px solid <<colour tiddler-editor-border>>;\n\tmargin: 4px 0 3px 3px;\n\tpadding: 3px 3px 3px 3px;\n}\n\n<<if-editor-height-fixed then:\"\"\"\n\n.tc-tiddler-preview-preview {\n\toverflow-y: scroll;\n\theight: {{$:/config/TextEditor/EditorHeight/Height}};\n}\n\n\"\"\">>\n\n.tc-tiddler-frame .tc-tiddler-preview .tc-edit-texteditor {\n\twidth: 49%;\n}\n\n.tc-tiddler-frame .tc-tiddler-preview canvas.tc-edit-bitmapeditor {\n\tmax-width: 49%;\n}\n\n.tc-edit-fields {\n\twidth: 100%;\n}\n\n\n.tc-edit-fields table, .tc-edit-fields tr, .tc-edit-fields td {\n\tborder: none;\n\tpadding: 4px;\n}\n\n.tc-edit-fields > tbody > .tc-edit-field:nth-child(odd) {\n\tbackground-color: <<colour tiddler-editor-fields-odd>>;\n}\n\n.tc-edit-fields > tbody > .tc-edit-field:nth-child(even) {\n\tbackground-color: <<colour tiddler-editor-fields-even>>;\n}\n\n.tc-edit-field-name {\n\ttext-align: right;\n}\n\n.tc-edit-field-value input {\n\twidth: 100%;\n}\n\n.tc-edit-field-remove {\n}\n\n.tc-edit-field-remove svg {\n\theight: 1em;\n\twidth: 1em;\n\tfill: <<colour muted-foreground>>;\n\tvertical-align: middle;\n}\n\n.tc-edit-field-add-name {\n\tdisplay: inline-block;\n\twidth: 15%;\n}\n\n.tc-edit-field-add-value {\n\tdisplay: inline-block;\n\twidth: 40%;\n}\n\n.tc-edit-field-add-button {\n\tdisplay: inline-block;\n\twidth: 10%;\n}\n\n/*\n** Storyview Classes\n*/\n\n.tc-viewswitcher .tc-image-button {\n\tmargin-right: .3em;\n}\n\n.tc-storyview-zoomin-tiddler {\n\tposition: absolute;\n\tdisplay: block;\n\twidth: 100%;\n}\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n\t.tc-storyview-zoomin-tiddler {\n\t\twidth: calc(100% - 84px);\n\t}\n\n}\n\n/*\n** Dropdowns\n*/\n\n.tc-btn-dropdown {\n\ttext-align: left;\n}\n\n.tc-btn-dropdown svg, .tc-btn-dropdown img {\n\theight: 1em;\n\twidth: 1em;\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-drop-down-wrapper {\n\tposition: relative;\n}\n\n.tc-drop-down {\n\tmin-width: 380px;\n\tborder: 1px solid <<colour dropdown-border>>;\n\tbackground-color: <<colour dropdown-background>>;\n\tpadding: 7px 0 7px 0;\n\tmargin: 4px 0 0 0;\n\twhite-space: nowrap;\n\ttext-shadow: none;\n\tline-height: 1.4;\n}\n\n.tc-drop-down .tc-drop-down {\n\tmargin-left: 14px;\n}\n\n.tc-drop-down button svg, .tc-drop-down a svg {\n\tfill: <<colour foreground>>;\n}\n\n.tc-drop-down button.tc-btn-invisible:hover svg {\n\tfill: <<colour foreground>>;\n}\n\n.tc-drop-down .tc-drop-down-info {\n\tpadding-left: 14px;\n}\n\n.tc-drop-down p {\n\tpadding: 0 14px 0 14px;\n}\n\n.tc-drop-down svg {\n\twidth: 1em;\n\theight: 1em;\n}\n\n.tc-drop-down img {\n\twidth: 1em;\n}\n\n.tc-drop-down a, .tc-drop-down button {\n\tdisplay: block;\n\tpadding: 0 14px 0 14px;\n\twidth: 100%;\n\ttext-align: left;\n\tcolor: <<colour foreground>>;\n\tline-height: 1.4;\n}\n\n.tc-drop-down .tc-tab-set .tc-tab-buttons button {\n\tdisplay: inline-block;\n width: auto;\n margin-bottom: 0px;\n border-bottom-left-radius: 0;\n border-bottom-right-radius: 0;\n}\n\n.tc-drop-down .tc-prompt {\n\tpadding: 0 14px;\n}\n\n.tc-drop-down .tc-chooser {\n\tborder: none;\n}\n\n.tc-drop-down .tc-chooser .tc-swatches-horiz {\n\tfont-size: 0.4em;\n\tpadding-left: 1.2em;\n}\n\n.tc-drop-down .tc-file-input-wrapper {\n\twidth: 100%;\n}\n\n.tc-drop-down .tc-file-input-wrapper button {\n\tcolor: <<colour foreground>>;\n}\n\n.tc-drop-down a:hover, .tc-drop-down button:hover, .tc-drop-down .tc-file-input-wrapper:hover button {\n\tcolor: <<colour tiddler-link-background>>;\n\tbackground-color: <<colour tiddler-link-foreground>>;\n\ttext-decoration: none;\n}\n\n.tc-drop-down .tc-tab-buttons button {\n\tbackground-color: <<colour dropdown-tab-background>>;\n}\n\n.tc-drop-down .tc-tab-buttons button.tc-tab-selected {\n\tbackground-color: <<colour dropdown-tab-background-selected>>;\n\tborder-bottom: 1px solid <<colour dropdown-tab-background-selected>>;\n}\n\n.tc-drop-down-bullet {\n\tdisplay: inline-block;\n\twidth: 0.5em;\n}\n\n.tc-drop-down .tc-tab-contents a {\n\tpadding: 0 0.5em 0 0.5em;\n}\n\n.tc-block-dropdown-wrapper {\n\tposition: relative;\n}\n\n.tc-block-dropdown {\n\tposition: absolute;\n\tmin-width: 220px;\n\tborder: 1px solid <<colour dropdown-border>>;\n\tbackground-color: <<colour dropdown-background>>;\n\tpadding: 7px 0;\n\tmargin: 4px 0 0 0;\n\twhite-space: nowrap;\n\tz-index: 1000;\n\ttext-shadow: none;\n}\n\n.tc-block-dropdown.tc-search-drop-down {\n\tmargin-left: -12px;\n}\n\n.tc-block-dropdown a {\n\tdisplay: block;\n\tpadding: 4px 14px 4px 14px;\n}\n\n.tc-block-dropdown.tc-search-drop-down a {\n\tdisplay: block;\n\tpadding: 0px 10px 0px 10px;\n}\n\n.tc-drop-down .tc-dropdown-item-plain,\n.tc-block-dropdown .tc-dropdown-item-plain {\n\tpadding: 4px 14px 4px 7px;\n}\n\n.tc-drop-down .tc-dropdown-item,\n.tc-block-dropdown .tc-dropdown-item {\n\tpadding: 4px 14px 4px 7px;\n\tcolor: <<colour muted-foreground>>;\n}\n\n.tc-block-dropdown a:hover {\n\tcolor: <<colour tiddler-link-background>>;\n\tbackground-color: <<colour tiddler-link-foreground>>;\n\ttext-decoration: none;\n}\n\n.tc-search-results {\n\tpadding: 0 7px 0 7px;\n}\n\n.tc-image-chooser, .tc-colour-chooser {\n\twhite-space: normal;\n}\n\n.tc-image-chooser a,\n.tc-colour-chooser a {\n\tdisplay: inline-block;\n\tvertical-align: top;\n\ttext-align: center;\n\tposition: relative;\n}\n\n.tc-image-chooser a {\n\tborder: 1px solid <<colour muted-foreground>>;\n\tpadding: 2px;\n\tmargin: 2px;\n\twidth: 4em;\n\theight: 4em;\n}\n\n.tc-colour-chooser a {\n\tpadding: 3px;\n\twidth: 2em;\n\theight: 2em;\n\tvertical-align: middle;\n}\n\n.tc-image-chooser a:hover,\n.tc-colour-chooser a:hover {\n\tbackground: <<colour primary>>;\n\tpadding: 0px;\n\tborder: 3px solid <<colour primary>>;\n}\n\n.tc-image-chooser a svg,\n.tc-image-chooser a img {\n\tdisplay: inline-block;\n\twidth: auto;\n\theight: auto;\n\tmax-width: 3.5em;\n\tmax-height: 3.5em;\n\tposition: absolute;\n\ttop: 0;\n\tbottom: 0;\n\tleft: 0;\n\tright: 0;\n\tmargin: auto;\n}\n\n/*\n** Modals\n*/\n\n.tc-modal-wrapper {\n\tposition: fixed;\n\toverflow: auto;\n\toverflow-y: scroll;\n\ttop: 0;\n\tright: 0;\n\tbottom: 0;\n\tleft: 0;\n\tz-index: 900;\n}\n\n.tc-modal-backdrop {\n\tposition: fixed;\n\ttop: 0;\n\tright: 0;\n\tbottom: 0;\n\tleft: 0;\n\tz-index: 1000;\n\tbackground-color: <<colour modal-backdrop>>;\n}\n\n.tc-modal {\n\tz-index: 1100;\n\tbackground-color: <<colour modal-background>>;\n\tborder: 1px solid <<colour modal-border>>;\n}\n\n@media (max-width: 55em) {\n\t.tc-modal {\n\t\tposition: fixed;\n\t\ttop: 1em;\n\t\tleft: 1em;\n\t\tright: 1em;\n\t}\n\n\t.tc-modal-body {\n\t\toverflow-y: auto;\n\t\tmax-height: 400px;\n\t\tmax-height: 60vh;\n\t}\n}\n\n@media (min-width: 55em) {\n\t.tc-modal {\n\t\tposition: fixed;\n\t\ttop: 2em;\n\t\tleft: 25%;\n\t\twidth: 50%;\n\t}\n\n\t.tc-modal-body {\n\t\toverflow-y: auto;\n\t\tmax-height: 400px;\n\t\tmax-height: 60vh;\n\t}\n}\n\n.tc-modal-header {\n\tpadding: 9px 15px;\n\tborder-bottom: 1px solid <<colour modal-header-border>>;\n}\n\n.tc-modal-header h3 {\n\tmargin: 0;\n\tline-height: 30px;\n}\n\n.tc-modal-header img, .tc-modal-header svg {\n\twidth: 1em;\n\theight: 1em;\n}\n\n.tc-modal-body {\n\tpadding: 15px;\n}\n\n.tc-modal-footer {\n\tpadding: 14px 15px 15px;\n\tmargin-bottom: 0;\n\ttext-align: right;\n\tbackground-color: <<colour modal-footer-background>>;\n\tborder-top: 1px solid <<colour modal-footer-border>>;\n}\n\n/*\n** Notifications\n*/\n\n.tc-notification {\n\tposition: fixed;\n\ttop: 14px;\n\tright: 42px;\n\tz-index: 1300;\n\tmax-width: 280px;\n\tpadding: 0 14px 0 14px;\n\tbackground-color: <<colour notification-background>>;\n\tborder: 1px solid <<colour notification-border>>;\n}\n\n/*\n** Tabs\n*/\n\n.tc-tab-set.tc-vertical {\n\tdisplay: -webkit-flex;\n\tdisplay: flex;\n}\n\n.tc-tab-buttons {\n\tfont-size: 0.85em;\n\tpadding-top: 1em;\n\tmargin-bottom: -2px;\n}\n\n.tc-tab-buttons.tc-vertical {\n\tz-index: 100;\n\tdisplay: block;\n\tpadding-top: 14px;\n\tvertical-align: top;\n\ttext-align: right;\n\tmargin-bottom: inherit;\n\tmargin-right: -1px;\n\tmax-width: 33%;\n\t-webkit-flex: 0 0 auto;\n\tflex: 0 0 auto;\n}\n\n.tc-tab-buttons button.tc-tab-selected {\n\tcolor: <<colour tab-foreground-selected>>;\n\tbackground-color: <<colour tab-background-selected>>;\n\tborder-left: 1px solid <<colour tab-border-selected>>;\n\tborder-top: 1px solid <<colour tab-border-selected>>;\n\tborder-right: 1px solid <<colour tab-border-selected>>;\n}\n\n.tc-tab-buttons button {\n\tcolor: <<colour tab-foreground>>;\n\tpadding: 3px 5px 3px 5px;\n\tmargin-right: 0.3em;\n\tfont-weight: 300;\n\tborder: none;\n\tbackground: inherit;\n\tbackground-color: <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-right: 1px solid <<colour tab-border>>;\n\tborder-top-left-radius: 2px;\n\tborder-top-right-radius: 2px;\n\tborder-bottom-left-radius: 0;\n\tborder-bottom-right-radius: 0;\n}\n\n.tc-tab-buttons.tc-vertical button {\n\tdisplay: block;\n\twidth: 100%;\n\tmargin-top: 3px;\n\tmargin-right: 0;\n\ttext-align: right;\n\tbackground-color: <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n\tborder-right: none;\n\tborder-top-left-radius: 2px;\n\tborder-bottom-left-radius: 2px;\n\tborder-top-right-radius: 0;\n\tborder-bottom-right-radius: 0;\n}\n\n.tc-tab-buttons.tc-vertical button.tc-tab-selected {\n\tbackground-color: <<colour tab-background-selected>>;\n\tborder-right: 1px solid <<colour tab-background-selected>>;\n}\n\n.tc-tab-divider {\n\tborder-top: 1px solid <<colour tab-divider>>;\n}\n\n.tc-tab-divider.tc-vertical {\n\tdisplay: none;\n}\n\n.tc-tab-content {\n\tmargin-top: 14px;\n}\n\n.tc-tab-content.tc-vertical {\n\tdisplay: inline-block;\n\tvertical-align: top;\n\tpadding-top: 0;\n\tpadding-left: 14px;\n\tborder-left: 1px solid <<colour tab-border>>;\n\t-webkit-flex: 1 0 70%;\n\tflex: 1 0 70%;\n\toverflow: auto;\n}\n\n.tc-sidebar-lists .tc-tab-buttons {\n\tmargin-bottom: -1px;\n}\n\n.tc-sidebar-lists .tc-tab-buttons button.tc-tab-selected {\n\tbackground-color: <<colour sidebar-tab-background-selected>>;\n\tcolor: <<colour sidebar-tab-foreground-selected>>;\n\tborder-left: 1px solid <<colour sidebar-tab-border-selected>>;\n\tborder-top: 1px solid <<colour sidebar-tab-border-selected>>;\n\tborder-right: 1px solid <<colour sidebar-tab-border-selected>>;\n}\n\n.tc-sidebar-lists .tc-tab-buttons button {\n\tbackground-color: <<colour sidebar-tab-background>>;\n\tcolor: <<colour sidebar-tab-foreground>>;\n\tborder-left: 1px solid <<colour sidebar-tab-border>>;\n\tborder-top: 1px solid <<colour sidebar-tab-border>>;\n\tborder-right: 1px solid <<colour sidebar-tab-border>>;\n}\n\n.tc-sidebar-lists .tc-tab-divider {\n\tborder-top: 1px solid <<colour sidebar-tab-divider>>;\n}\n\n.tc-more-sidebar > .tc-tab-set > .tc-tab-buttons > button {\n\tdisplay: block;\n\twidth: 100%;\n\tbackground-color: <<colour sidebar-tab-background>>;\n\tborder-top: none;\n\tborder-left: none;\n\tborder-bottom: none;\n\tborder-right: 1px solid #ccc;\n\tmargin-bottom: inherit;\n}\n\n.tc-more-sidebar > .tc-tab-set > .tc-tab-buttons > button.tc-tab-selected {\n\tbackground-color: <<colour sidebar-tab-background-selected>>;\n\tborder: none;\n}\n\n/*\n** Manager\n*/\n\n.tc-manager-wrapper {\n\t\n}\n\n.tc-manager-controls {\n\t\n}\n\n.tc-manager-control {\n\tmargin: 0.5em 0;\n}\n\n.tc-manager-list {\n\twidth: 100%;\n\tborder-top: 1px solid <<colour muted-foreground>>;\n\tborder-left: 1px solid <<colour muted-foreground>>;\n\tborder-right: 1px solid <<colour muted-foreground>>;\n}\n\n.tc-manager-list-item {\n\n}\n\n.tc-manager-list-item-heading {\n display: block;\n width: 100%;\n text-align: left;\t\n\tborder-bottom: 1px solid <<colour muted-foreground>>;\n\tpadding: 3px;\n}\n\n.tc-manager-list-item-heading-selected {\n\tfont-weight: bold;\n\tcolor: <<colour background>>;\n\tfill: <<colour background>>;\n\tbackground-color: <<colour foreground>>;\n}\n\n.tc-manager-list-item-heading:hover {\n\tbackground: <<colour primary>>;\n\tcolor: <<colour background>>;\n}\n\n.tc-manager-list-item-content {\n\tdisplay: flex;\n}\n\n.tc-manager-list-item-content-sidebar {\n flex: 1 0;\n background: <<colour tiddler-editor-background>>;\n border-right: 0.5em solid <<colour muted-foreground>>;\n border-bottom: 0.5em solid <<colour muted-foreground>>;\n white-space: nowrap;\n}\n\n.tc-manager-list-item-content-item-heading {\n\tdisplay: block;\n\twidth: 100%;\n\ttext-align: left;\n background: <<colour muted-foreground>>;\n\ttext-transform: uppercase;\n\tfont-size: 0.6em;\n\tfont-weight: bold;\n padding: 0.5em 0 0.5em 0;\n}\n\n.tc-manager-list-item-content-item-body {\n\tpadding: 0 0.5em 0 0.5em;\n}\n\n.tc-manager-list-item-content-item-body > pre {\n\tmargin: 0.5em 0 0.5em 0;\n\tborder: none;\n\tbackground: inherit;\n}\n\n.tc-manager-list-item-content-tiddler {\n flex: 3 1;\n border-left: 0.5em solid <<colour muted-foreground>>;\n border-right: 0.5em solid <<colour muted-foreground>>;\n border-bottom: 0.5em solid <<colour muted-foreground>>;\n}\n\n.tc-manager-list-item-content-item-body > table {\n\tborder: none;\n\tpadding: 0;\n\tmargin: 0;\n}\n\n.tc-manager-list-item-content-item-body > table td {\n\tborder: none;\n}\n\n.tc-manager-icon-editor > button {\n\twidth: 100%;\n}\n\n.tc-manager-icon-editor > button > svg,\n.tc-manager-icon-editor > button > button {\n\twidth: 100%;\n\theight: auto;\n}\n\n/*\n** Alerts\n*/\n\n.tc-alerts {\n\tposition: fixed;\n\ttop: 28px;\n\tleft: 0;\n\tright: 0;\n\tmax-width: 50%;\n\tz-index: 20000;\n}\n\n.tc-alert {\n\tposition: relative;\n\tmargin: 14px;\n\tpadding: 7px;\n\tborder: 1px solid <<colour alert-border>>;\n\tbackground-color: <<colour alert-background>>;\n}\n\n.tc-alert-toolbar {\n\tposition: absolute;\n\ttop: 7px;\n\tright: 7px;\n line-height: 0;\n}\n\n.tc-alert-toolbar svg {\n\tfill: <<colour alert-muted-foreground>>;\n}\n\n.tc-alert-subtitle {\n\tcolor: <<colour alert-muted-foreground>>;\n\tfont-weight: bold;\n font-size: 0.8em;\n margin-bottom: 0.5em;\n}\n\n.tc-alert-body > p {\n\tmargin: 0;\n}\n\n.tc-alert-highlight {\n\tcolor: <<colour alert-highlight>>;\n}\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n\t.tc-static-alert {\n\t\tposition: relative;\n\t}\n\n\t.tc-static-alert-inner {\n\t\tposition: absolute;\n\t\tz-index: 100;\n\t}\n\n}\n\n.tc-static-alert-inner {\n\tpadding: 0 2px 2px 42px;\n\tcolor: <<colour static-alert-foreground>>;\n}\n\n/*\n** Floating drafts list\n*/\n\n.tc-drafts-list {\n\tz-index: 2000;\n\tposition: fixed;\n\tfont-size: 0.8em;\n\tleft: 0;\n\tbottom: 0;\n}\n\n.tc-drafts-list a {\n\tmargin: 0 0.5em;\n\tpadding: 4px 4px;\n\tborder-top-left-radius: 4px;\n\tborder-top-right-radius: 4px;\n\tborder: 1px solid <<colour background>>;\n\tborder-bottom-none;\n\tbackground: <<colour dirty-indicator>>;\n\tcolor: <<colour background>>;\n\tfill: <<colour background>>;\n}\n\n.tc-drafts-list a:hover {\n\ttext-decoration: none;\n\tbackground: <<colour foreground>>;\n\tcolor: <<colour background>>;\n\tfill: <<colour background>>;\n}\n\n.tc-drafts-list a svg {\n\twidth: 1em;\n\theight: 1em;\n\tvertical-align: text-bottom;\n}\n\n/*\n** Control panel\n*/\n\n.tc-control-panel td {\n\tpadding: 4px;\n}\n\n.tc-control-panel table, .tc-control-panel table input, .tc-control-panel table textarea {\n\twidth: 100%;\n}\n\n.tc-plugin-info {\n\tdisplay: flex;\n\tborder: 1px solid <<colour muted-foreground>>;\n\tfill: <<colour muted-foreground>>;\n\tbackground-color: <<colour background>>;\n\tmargin: 0.5em 0 0.5em 0;\n\tpadding: 4px;\n align-items: center;\n}\n\n.tc-plugin-info-sub-plugins .tc-plugin-info {\n margin: 0.5em;\n\tbackground: <<colour background>>;\n}\n\n.tc-plugin-info-sub-plugin-indicator {\n\tmargin: -16px 1em 0 2em;\n}\n\n.tc-plugin-info-sub-plugin-indicator button {\n\tcolor: <<colour background>>;\n\tbackground: <<colour foreground>>;\n\tborder-radius: 8px;\n padding: 2px 7px;\n font-size: 0.75em;\n}\n\n.tc-plugin-info-sub-plugins .tc-plugin-info-dropdown {\n\tmargin-left: 1em;\n\tmargin-right: 1em;\n}\n\n.tc-plugin-info-disabled {\n\tbackground: -webkit-repeating-linear-gradient(45deg, #ff0, #ff0 10px, #eee 10px, #eee 20px);\n\tbackground: repeating-linear-gradient(45deg, #ff0, #ff0 10px, #eee 10px, #eee 20px);\n}\n\n.tc-plugin-info-disabled:hover {\n\tbackground: -webkit-repeating-linear-gradient(45deg, #aa0, #aa0 10px, #888 10px, #888 20px);\n\tbackground: repeating-linear-gradient(45deg, #aa0, #aa0 10px, #888 10px, #888 20px);\n}\n\na.tc-tiddlylink.tc-plugin-info:hover {\n\ttext-decoration: none;\n\tbackground-color: <<colour primary>>;\n\tcolor: <<colour background>>;\n\tfill: <<colour foreground>>;\n}\n\na.tc-tiddlylink.tc-plugin-info:hover .tc-plugin-info > .tc-plugin-info-chunk > svg {\n\tfill: <<colour foreground>>;\n}\n\n.tc-plugin-info-chunk {\n margin: 2px;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-toggle {\n\tflex-grow: 0;\n\tflex-shrink: 0;\n\tline-height: 1;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-icon {\n\tflex-grow: 0;\n\tflex-shrink: 0;\n\tline-height: 1;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-description {\n\tflex-grow: 1;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-buttons {\n\tfont-size: 0.8em;\n\tline-height: 1.2;\n\tflex-grow: 0;\n\tflex-shrink: 0;\n text-align: right;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-description h1 {\n\tfont-size: 1em;\n\tline-height: 1.2;\n\tmargin: 2px 0 2px 0;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-description h2 {\n\tfont-size: 0.8em;\n\tline-height: 1.2;\n\tmargin: 2px 0 2px 0;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-description div {\n\tfont-size: 0.7em;\n\tline-height: 1.2;\n\tmargin: 2px 0 2px 0;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-toggle img, .tc-plugin-info-chunk.tc-plugin-info-toggle svg {\n\twidth: 1em;\n\theight: 1em;\n}\n\n.tc-plugin-info-chunk.tc-plugin-info-icon img, .tc-plugin-info-chunk.tc-plugin-info-icon svg {\n\twidth: 2em;\n\theight: 2em;\n}\n\n.tc-plugin-info-dropdown {\n\tborder: 1px solid <<colour muted-foreground>>;\n\tbackground: <<colour background>>;\n\tmargin-top: -8px;\n}\n\n.tc-plugin-info-dropdown-message {\n\tbackground: <<colour message-background>>;\n\tpadding: 0.5em 1em 0.5em 1em;\n\tfont-weight: bold;\n\tfont-size: 0.8em;\n}\n\n.tc-plugin-info-dropdown-body {\n\tpadding: 1em 1em 0 1em;\n\tbackground: <<colour background>>;\n}\n\n.tc-plugin-info-sub-plugins {\n\tpadding: 0.5em;\n margin: 0 1em 1em 1em;\n\tbackground: <<colour notification-background>>;\n}\n\n.tc-install-plugin {\n\tfont-weight: bold;\n\tbackground: green;\n\tcolor: white;\n\tfill: white;\n\tborder-radius: 4px;\n\tpadding: 3px;\n}\n\n.tc-install-plugin.tc-reinstall-downgrade {\n\tbackground: red;\n}\n\n.tc-install-plugin.tc-reinstall {\n\tbackground: blue;\n}\n\n.tc-install-plugin.tc-reinstall-upgrade {\n\tbackground: orange;\n}\n\n.tc-check-list {\n\tline-height: 2em;\n}\n\n.tc-check-list .tc-image-button {\n\theight: 1.5em;\n}\n\n/*\n** Message boxes\n*/\n\n.tc-message-box {\n\tborder: 1px solid <<colour message-border>>;\n\tbackground: <<colour message-background>>;\n\tpadding: 0px 21px 0px 21px;\n\tfont-size: 12px;\n\tline-height: 18px;\n\tcolor: <<colour message-foreground>>;\n}\n\n.tc-message-box svg {\n\twidth: 1em;\n\theight: 1em;\n vertical-align: text-bottom;\n}\n\n/*\n** Pictures\n*/\n\n.tc-bordered-image {\n\tborder: 1px solid <<colour muted-foreground>>;\n\tpadding: 5px;\n\tmargin: 5px;\n}\n\n/*\n** Floats\n*/\n\n.tc-float-right {\n\tfloat: right;\n}\n\n/*\n** Chooser\n*/\n\n.tc-chooser {\n\tborder-right: 1px solid <<colour table-header-background>>;\n\tborder-left: 1px solid <<colour table-header-background>>;\n}\n\n\n.tc-chooser-item {\n\tborder-bottom: 1px solid <<colour table-header-background>>;\n\tborder-top: 1px solid <<colour table-header-background>>;\n\tpadding: 2px 4px 2px 14px;\n}\n\n.tc-drop-down .tc-chooser-item {\n\tpadding: 2px;\n}\n\n.tc-chosen,\n.tc-chooser-item:hover {\n\tbackground-color: <<colour table-header-background>>;\n\tborder-color: <<colour table-footer-background>>;\n}\n\n.tc-chosen .tc-tiddlylink {\n\tcursor:default;\n}\n\n.tc-chooser-item .tc-tiddlylink {\n\tdisplay: block;\n\ttext-decoration: none;\n\tbackground-color: transparent;\n}\n\n.tc-chooser-item:hover .tc-tiddlylink:hover {\n\ttext-decoration: none;\n}\n\n.tc-drop-down .tc-chosen .tc-tiddlylink,\n.tc-drop-down .tc-chooser-item .tc-tiddlylink:hover {\n\tcolor: <<colour foreground>>;\n}\n\n.tc-chosen > .tc-tiddlylink:before {\n\tmargin-left: -10px;\n\tposition: relative;\n\tcontent: \"» \";\n}\n\n.tc-chooser-item svg,\n.tc-chooser-item img{\n\twidth: 1em;\n\theight: 1em;\n\tvertical-align: middle;\n}\n\n.tc-language-chooser .tc-image-button img {\n\twidth: 2em;\n\tvertical-align: -0.15em;\n}\n\n/*\n** Palette swatches\n*/\n\n.tc-swatches-horiz {\n}\n\n.tc-swatches-horiz .tc-swatch {\n\tdisplay: inline-block;\n}\n\n.tc-swatch {\n\twidth: 2em;\n\theight: 2em;\n\tmargin: 0.4em;\n\tborder: 1px solid #888;\n}\n\ninput.tc-palette-manager-colour-input {\n\twidth: 100%;\n\tpadding: 0;\n}\n\n/*\n** Table of contents\n*/\n\n.tc-sidebar-lists .tc-table-of-contents {\n\twhite-space: nowrap;\n}\n\n.tc-table-of-contents button {\n\tcolor: <<colour sidebar-foreground>>;\n}\n\n.tc-table-of-contents svg {\n\twidth: 0.7em;\n\theight: 0.7em;\n\tvertical-align: middle;\n\tfill: <<colour sidebar-foreground>>;\n}\n\n.tc-table-of-contents ol {\n\tlist-style-type: none;\n\tpadding-left: 0;\n}\n\n.tc-table-of-contents ol ol {\n\tpadding-left: 1em;\n}\n\n.tc-table-of-contents li {\n\tfont-size: 1.0em;\n\tfont-weight: bold;\n}\n\n.tc-table-of-contents li a {\n\tfont-weight: bold;\n}\n\n.tc-table-of-contents li li {\n\tfont-size: 0.95em;\n\tfont-weight: normal;\n\tline-height: 1.4;\n}\n\n.tc-table-of-contents li li a {\n\tfont-weight: normal;\n}\n\n.tc-table-of-contents li li li {\n\tfont-size: 0.95em;\n\tfont-weight: 200;\n\tline-height: 1.5;\n}\n\n.tc-table-of-contents li li li li {\n\tfont-size: 0.95em;\n\tfont-weight: 200;\n}\n\n.tc-tabbed-table-of-contents {\n\tdisplay: -webkit-flex;\n\tdisplay: flex;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents {\n\tz-index: 100;\n\tdisplay: inline-block;\n\tpadding-left: 1em;\n\tmax-width: 50%;\n\t-webkit-flex: 0 0 auto;\n\tflex: 0 0 auto;\n\tbackground: <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item > a,\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item-selected > a {\n\tdisplay: block;\n\tpadding: 0.12em 1em 0.12em 0.25em;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item > a {\n\tborder-top: 1px solid <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-background>>;\n\tborder-bottom: 1px solid <<colour tab-background>>;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item > a:hover {\n\ttext-decoration: none;\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n\tbackground: <<colour tab-border>>;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item-selected > a {\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n\tbackground: <<colour background>>;\n\tmargin-right: -1px;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item-selected > a:hover {\n\ttext-decoration: none;\n}\n\n.tc-tabbed-table-of-contents .tc-tabbed-table-of-contents-content {\n\tdisplay: inline-block;\n\tvertical-align: top;\n\tpadding-left: 1.5em;\n\tpadding-right: 1.5em;\n\tborder: 1px solid <<colour tab-border>>;\n\t-webkit-flex: 1 0 50%;\n\tflex: 1 0 50%;\n}\n\n/*\n** Dirty indicator\n*/\n\nbody.tc-dirty span.tc-dirty-indicator, body.tc-dirty span.tc-dirty-indicator svg {\n\tfill: <<colour dirty-indicator>>;\n\tcolor: <<colour dirty-indicator>>;\n}\n\n/*\n** File inputs\n*/\n\n.tc-file-input-wrapper {\n\tposition: relative;\n\toverflow: hidden;\n\tdisplay: inline-block;\n\tvertical-align: middle;\n}\n\n.tc-file-input-wrapper input[type=file] {\n\tposition: absolute;\n\ttop: 0;\n\tleft: 0;\n\tright: 0;\n\tbottom: 0;\n\tfont-size: 999px;\n\tmax-width: 100%;\n\tmax-height: 100%;\n\tfilter: alpha(opacity=0);\n\topacity: 0;\n\toutline: none;\n\tbackground: white;\n\tcursor: pointer;\n\tdisplay: inline-block;\n}\n\n/*\n** Thumbnail macros\n*/\n\n.tc-thumbnail-wrapper {\n\tposition: relative;\n\tdisplay: inline-block;\n\tmargin: 6px;\n\tvertical-align: top;\n}\n\n.tc-thumbnail-right-wrapper {\n\tfloat:right;\n\tmargin: 0.5em 0 0.5em 0.5em;\n}\n\n.tc-thumbnail-image {\n\ttext-align: center;\n\toverflow: hidden;\n\tborder-radius: 3px;\n}\n\n.tc-thumbnail-image svg,\n.tc-thumbnail-image img {\n\tfilter: alpha(opacity=1);\n\topacity: 1;\n\tmin-width: 100%;\n\tmin-height: 100%;\n\tmax-width: 100%;\n}\n\n.tc-thumbnail-wrapper:hover .tc-thumbnail-image svg,\n.tc-thumbnail-wrapper:hover .tc-thumbnail-image img {\n\tfilter: alpha(opacity=0.8);\n\topacity: 0.8;\n}\n\n.tc-thumbnail-background {\n\tposition: absolute;\n\tborder-radius: 3px;\n}\n\n.tc-thumbnail-icon svg,\n.tc-thumbnail-icon img {\n\twidth: 3em;\n\theight: 3em;\n\t<<filter \"drop-shadow(2px 2px 4px rgba(0,0,0,0.3))\">>\n}\n\n.tc-thumbnail-wrapper:hover .tc-thumbnail-icon svg,\n.tc-thumbnail-wrapper:hover .tc-thumbnail-icon img {\n\tfill: #fff;\n\t<<filter \"drop-shadow(3px 3px 4px rgba(0,0,0,0.6))\">>\n}\n\n.tc-thumbnail-icon {\n\tposition: absolute;\n\ttop: 0;\n\tleft: 0;\n\tright: 0;\n\tbottom: 0;\n\tdisplay: -webkit-flex;\n\t-webkit-align-items: center;\n\t-webkit-justify-content: center;\n\tdisplay: flex;\n\talign-items: center;\n\tjustify-content: center;\n}\n\n.tc-thumbnail-caption {\n\tposition: absolute;\n\tbackground-color: #777;\n\tcolor: #fff;\n\ttext-align: center;\n\tbottom: 0;\n\twidth: 100%;\n\tfilter: alpha(opacity=0.9);\n\topacity: 0.9;\n\tline-height: 1.4;\n\tborder-bottom-left-radius: 3px;\n\tborder-bottom-right-radius: 3px;\n}\n\n.tc-thumbnail-wrapper:hover .tc-thumbnail-caption {\n\tfilter: alpha(opacity=1);\n\topacity: 1;\n}\n\n/*\n** Diffs\n*/\n\n.tc-diff-equal {\n\tbackground-color: <<colour diff-equal-background>>;\n\tcolor: <<colour diff-equal-foreground>>;\n}\n\n.tc-diff-insert {\n\tbackground-color: <<colour diff-insert-background>>;\n\tcolor: <<colour diff-insert-foreground>>;\n}\n\n.tc-diff-delete {\n\tbackground-color: <<colour diff-delete-background>>;\n\tcolor: <<colour diff-delete-foreground>>;\n}\n\n.tc-diff-invisible {\n\tbackground-color: <<colour diff-invisible-background>>;\n\tcolor: <<colour diff-invisible-foreground>>;\n}\n\n.tc-diff-tiddlers th {\n\ttext-align: right;\n\tbackground: <<colour background>>;\n\tfont-weight: normal;\n\tfont-style: italic;\n}\n\n.tc-diff-tiddlers pre {\n margin: 0;\n padding: 0;\n border: none;\n background: none;\n}\n\n/*\n** Errors\n*/\n\n.tc-error {\n\tbackground: #f00;\n\tcolor: #fff;\n}\n\n/*\n** Tree macro\n*/\n\n.tc-tree div {\n \tpadding-left: 14px;\n}\n\n.tc-tree ol {\n \tlist-style-type: none;\n \tpadding-left: 0;\n \tmargin-top: 0;\n}\n\n.tc-tree ol ol {\n \tpadding-left: 1em; \n}\n\n.tc-tree button { \n \tcolor: #acacac;\n}\n\n.tc-tree svg {\n \tfill: #acacac;\n}\n\n.tc-tree span svg {\n \twidth: 1em;\n \theight: 1em;\n \tvertical-align: baseline;\n}\n\n.tc-tree li span {\n \tcolor: lightgray;\n}\n\nselect {\n color: <<colour select-tag-foreground>>;\n background: <<colour select-tag-background>>;\n}\n\n/*\n** Utility classes for SVG icons\n*/\n\n.tc-fill-background {\n\tfill: <<colour background>>;\n}"
},
"$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize",
"text": "15px"
},
"$:/themes/tiddlywiki/vanilla/metrics/bodylineheight": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/bodylineheight",
"text": "22px"
},
"$:/themes/tiddlywiki/vanilla/metrics/fontsize": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/fontsize",
"text": "14px"
},
"$:/themes/tiddlywiki/vanilla/metrics/lineheight": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/lineheight",
"text": "20px"
},
"$:/themes/tiddlywiki/vanilla/metrics/storyleft": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/storyleft",
"text": "0px"
},
"$:/themes/tiddlywiki/vanilla/metrics/storytop": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/storytop",
"text": "0px"
},
"$:/themes/tiddlywiki/vanilla/metrics/storyright": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/storyright",
"text": "770px"
},
"$:/themes/tiddlywiki/vanilla/metrics/storywidth": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/storywidth",
"text": "770px"
},
"$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth",
"text": "686px"
},
"$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint",
"text": "960px"
},
"$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth",
"text": "350px"
},
"$:/themes/tiddlywiki/vanilla/options/stickytitles": {
"title": "$:/themes/tiddlywiki/vanilla/options/stickytitles",
"text": "no"
},
"$:/themes/tiddlywiki/vanilla/options/sidebarlayout": {
"title": "$:/themes/tiddlywiki/vanilla/options/sidebarlayout",
"text": "fixed-fluid"
},
"$:/themes/tiddlywiki/vanilla/options/codewrapping": {
"title": "$:/themes/tiddlywiki/vanilla/options/codewrapping",
"text": "pre-wrap"
},
"$:/themes/tiddlywiki/vanilla/reset": {
"title": "$:/themes/tiddlywiki/vanilla/reset",
"type": "text/plain",
"text": "/*! normalize.css v8.0.1 | MIT License | github.com/necolas/normalize.css */\n\n/* Document\n ========================================================================== */\n\n/**\n * 1. Correct the line height in all browsers.\n * 2. Prevent adjustments of font size after orientation changes in iOS.\n */\n\nhtml {\n line-height: 1.15; /* 1 */\n -webkit-text-size-adjust: 100%; /* 2 */\n}\n\n/* Sections\n ========================================================================== */\n\n/**\n * Remove the margin in all browsers.\n */\n\nbody {\n margin: 0;\n}\n\n/**\n * Render the `main` element consistently in IE.\n */\n\nmain {\n display: block;\n}\n\n/**\n * Correct the font size and margin on `h1` elements within `section` and\n * `article` contexts in Chrome, Firefox, and Safari.\n */\n\nh1 {\n font-size: 2em;\n margin: 0.67em 0;\n}\n\n/* Grouping content\n ========================================================================== */\n\n/**\n * 1. Add the correct box sizing in Firefox.\n * 2. Show the overflow in Edge and IE.\n */\n\nhr {\n box-sizing: content-box; /* 1 */\n height: 0; /* 1 */\n overflow: visible; /* 2 */\n}\n\n/**\n * 1. Correct the inheritance and scaling of font size in all browsers.\n * 2. Correct the odd `em` font sizing in all browsers.\n */\n\npre {\n font-family: monospace, monospace; /* 1 */\n font-size: 1em; /* 2 */\n}\n\n/* Text-level semantics\n ========================================================================== */\n\n/**\n * Remove the gray background on active links in IE 10.\n */\n\na {\n background-color: transparent;\n}\n\n/**\n * 1. Remove the bottom border in Chrome 57-\n * 2. Add the correct text decoration in Chrome, Edge, IE, Opera, and Safari.\n */\n\nabbr[title] {\n border-bottom: none; /* 1 */\n text-decoration: underline; /* 2 */\n text-decoration: underline dotted; /* 2 */\n}\n\n/**\n * Add the correct font weight in Chrome, Edge, and Safari.\n */\n\nb,\nstrong {\n font-weight: bolder;\n}\n\n/**\n * 1. Correct the inheritance and scaling of font size in all browsers.\n * 2. Correct the odd `em` font sizing in all browsers.\n */\n\ncode,\nkbd,\nsamp {\n font-family: monospace, monospace; /* 1 */\n font-size: 1em; /* 2 */\n}\n\n/**\n * Add the correct font size in all browsers.\n */\n\nsmall {\n font-size: 80%;\n}\n\n/**\n * Prevent `sub` and `sup` elements from affecting the line height in\n * all browsers.\n */\n\nsub,\nsup {\n font-size: 75%;\n line-height: 0;\n position: relative;\n vertical-align: baseline;\n}\n\nsub {\n bottom: -0.25em;\n}\n\nsup {\n top: -0.5em;\n}\n\n/* Embedded content\n ========================================================================== */\n\n/**\n * Remove the border on images inside links in IE 10.\n */\n\nimg {\n border-style: none;\n}\n\n/* Forms\n ========================================================================== */\n\n/**\n * 1. Change the font styles in all browsers.\n * 2. Remove the margin in Firefox and Safari.\n */\n\nbutton,\ninput,\noptgroup,\nselect,\ntextarea {\n font-family: inherit; /* 1 */\n font-size: 100%; /* 1 */\n line-height: 1.15; /* 1 */\n margin: 0; /* 2 */\n}\n\n/**\n * Show the overflow in IE.\n * 1. Show the overflow in Edge.\n */\n\nbutton,\ninput { /* 1 */\n overflow: visible;\n}\n\n/**\n * Remove the inheritance of text transform in Edge, Firefox, and IE.\n * 1. Remove the inheritance of text transform in Firefox.\n */\n\nbutton,\nselect { /* 1 */\n text-transform: none;\n}\n\n/**\n * Correct the inability to style clickable types in iOS and Safari.\n */\n\nbutton,\n[type=\"button\"],\n[type=\"reset\"],\n[type=\"submit\"] {\n -webkit-appearance: button;\n}\n\n/**\n * Remove the inner border and padding in Firefox.\n */\n\nbutton::-moz-focus-inner,\n[type=\"button\"]::-moz-focus-inner,\n[type=\"reset\"]::-moz-focus-inner,\n[type=\"submit\"]::-moz-focus-inner {\n border-style: none;\n padding: 0;\n}\n\n/**\n * Restore the focus styles unset by the previous rule.\n */\n\nbutton:-moz-focusring,\n[type=\"button\"]:-moz-focusring,\n[type=\"reset\"]:-moz-focusring,\n[type=\"submit\"]:-moz-focusring {\n outline: 1px dotted ButtonText;\n}\n\n/**\n * Correct the padding in Firefox.\n */\n\nfieldset {\n padding: 0.35em 0.75em 0.625em;\n}\n\n/**\n * 1. Correct the text wrapping in Edge and IE.\n * 2. Correct the color inheritance from `fieldset` elements in IE.\n * 3. Remove the padding so developers are not caught out when they zero out\n * `fieldset` elements in all browsers.\n */\n\nlegend {\n box-sizing: border-box; /* 1 */\n color: inherit; /* 2 */\n display: table; /* 1 */\n max-width: 100%; /* 1 */\n padding: 0; /* 3 */\n white-space: normal; /* 1 */\n}\n\n/**\n * Add the correct vertical alignment in Chrome, Firefox, and Opera.\n */\n\nprogress {\n vertical-align: baseline;\n}\n\n/**\n * Remove the default vertical scrollbar in IE 10+.\n */\n\ntextarea {\n overflow: auto;\n}\n\n/**\n * 1. Add the correct box sizing in IE 10.\n * 2. Remove the padding in IE 10.\n */\n\n[type=\"checkbox\"],\n[type=\"radio\"] {\n box-sizing: border-box; /* 1 */\n padding: 0; /* 2 */\n}\n\n/**\n * Correct the cursor style of increment and decrement buttons in Chrome.\n */\n\n[type=\"number\"]::-webkit-inner-spin-button,\n[type=\"number\"]::-webkit-outer-spin-button {\n height: auto;\n}\n\n/**\n * 1. Correct the odd appearance in Chrome and Safari.\n * 2. Correct the outline style in Safari.\n */\n\n[type=\"search\"] {\n -webkit-appearance: textfield; /* 1 */\n outline-offset: -2px; /* 2 */\n}\n\n/**\n * Remove the inner padding in Chrome and Safari on macOS.\n */\n\n[type=\"search\"]::-webkit-search-decoration {\n -webkit-appearance: none;\n}\n\n/**\n * 1. Correct the inability to style clickable types in iOS and Safari.\n * 2. Change font properties to `inherit` in Safari.\n */\n\n::-webkit-file-upload-button {\n -webkit-appearance: button; /* 1 */\n font: inherit; /* 2 */\n}\n\n/* Interactive\n ========================================================================== */\n\n/*\n * Add the correct display in Edge, IE 10+, and Firefox.\n */\n\ndetails {\n display: block;\n}\n\n/*\n * Add the correct display in all browsers.\n */\n\nsummary {\n display: list-item;\n}\n\n/* Misc\n ========================================================================== */\n\n/**\n * Add the correct display in IE 10+.\n */\n\ntemplate {\n display: none;\n}\n\n/**\n * Add the correct display in IE 10.\n */\n\n[hidden] {\n display: none;\n}\n"
},
"$:/themes/tiddlywiki/vanilla/settings/fontfamily": {
"title": "$:/themes/tiddlywiki/vanilla/settings/fontfamily",
"text": "-apple-system, BlinkMacSystemFont, \"Segoe UI\", Helvetica, Arial, sans-serif, \"Apple Color Emoji\", \"Segoe UI Emoji\", \"Segoe UI Symbol\""
},
"$:/themes/tiddlywiki/vanilla/settings/codefontfamily": {
"title": "$:/themes/tiddlywiki/vanilla/settings/codefontfamily",
"text": "\"SFMono-Regular\",Consolas,\"Liberation Mono\",Menlo,Courier,monospace"
},
"$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment": {
"title": "$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment",
"text": "fixed"
},
"$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize": {
"title": "$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize",
"text": "auto"
},
"$:/themes/tiddlywiki/vanilla/sticky": {
"title": "$:/themes/tiddlywiki/vanilla/sticky",
"text": "<$reveal state=\"$:/themes/tiddlywiki/vanilla/options/stickytitles\" type=\"match\" text=\"yes\">\n``\n.tc-tiddler-title {\n\tposition: -webkit-sticky;\n\tposition: -moz-sticky;\n\tposition: -o-sticky;\n\tposition: -ms-sticky;\n\tposition: sticky;\n\ttop: 0px;\n\tbackground: ``<<colour tiddler-background>>``;\n\tz-index: 500;\n}\n\n``\n<$list filter=\"[range[100]]\">\n`.tc-story-river .tc-tiddler-frame:nth-child(100n+`<$text text=<<currentTiddler>>/>`) {\nz-index: `<$text text={{{ [[200]subtract<currentTiddler>] }}}/>`;\n}\n`\n</$list>\n</$reveal>\n"
}
}
}
По научной специальности "Общая педагогика, история педагогики и образования" (шифр 13.00.01) период с 1997 - 2011 защищено @@color:red; 5 @@ диссертаций, из них одна на соискание ученой степени доктора педагогических наук В.А. [[Григорьевой-Голубевой|Григорьева-Голубева]] [[[2]|Становление гуманистических ценностей педагога (в аспекте языковой личности)]] и четыре кандидатские диссертации Г.А. [[Ивановой|Иванова Г.А.]] , З.В. [[Емельяновой|Емельянова]], И.Ф. [[Птицыной|Птицына]], О.П. [[Протченко]], Ю.Н. [[Хлызовой|Хлызова]] [3; 4; 5; 6; 7].
Целью исследования в работе В.А. [[Григорьевой-Голубевой|Григорьева-Голубева]] [[[2]|ggva_ar 1]] выступала разработка и обоснование концепции развития гуманистических ценностей языковой личности студентов. Предмет исследования представлял собой процесс развития @@color:red; языковой личности учителя начальных классов @@. Основным достижением автора является разработка теоретической модели языковой личности педагога, представляющей собой систему пяти элементов, таких как: коммуникативный потенциал личности (общительность), коммуникативная компетентность, профессиональная культура речи, коммуникативная культура, коммуникативное поведение.*[[[2, c.10]|ggva_ar_s10_3_5]]. Следует отметить, что данная модель языковой личности отличается от канонических моделей языковой личности И.Г. Богина и Ю.Н. Караулова @@color:red; Студенты пед инст - нач классы @@
Цель исследования диссертации [[Ивановой|Иванова Г.А.]] Г.А. [[[3]|iga_ar 1]] состояла в разработке педагогических основ формирования языковой личности в процессе становления личностно-образующего потенциала иностранного языка в рамках трехступенчатой деятельностной модели обучения [[[3, с.7]|iga_ar_s7_5]]. Предмет исследования - процесс формирования языковой личности посредством культуры иноязычного чтения. [[[3, с.7] |iga_ar_s7_4]] Автор данной диссертации за основу принимает модель Ю. Н. Караулова и строит структурную модель языковой личности "по пересекающимся осям - виды речевой деятельности (аудирование, говорение, чтение и письмо), уровни языка (фонетика, грамматика, лексика) и степень владения компонентами данного уровня". [[[3, с.13] |iga_ar_s13]] Важным моментом, на наш взгляд, является положение о том, что "языковую личность также можно сформулировать@@color:red; как «эталон-анализатор, диагностирующий состояние языковой развитости конкретного индивидуума" @@. [[[там же] |iga_ar_s13]] Существенно, что в своем исследовании автор трактует языковую личность как такую концептуальную позицию, которая выполняет системообразующую функцию, позволяя осмысливать и усваивать знания о языке, его структуре, и функционировании на основе формирования и развития культуры иноязычного чтения.[[[3, с.6] |iga_ar_s6_4]] @@color:red; Студенты юристы@@
Автор диссертации З.В. [[Емельяновой|Емельянова]] [[[4]|ezv_ar 1]] ставит перед собой следующую цель: определение педагогических условий, обеспечивающих эффективность формирования интерактивной компетенции языковой личности при обучении иностранным языкам в неязыковом вузе. Предметом исследования выступает процесс формирования языковой личности студентов экономического профиля в контексте подготовки к межкультурной деловой коммуникации. [[[* 4, с.3] |ezv_ar_s4_1]]. За основу также принимается концепция языковой личности Ю.Н. Караулова. При этом формирование языковой личности рассматривается при условии развития интерактивной компетенции;[[[* 4, с.5]|ezv_ar_s5_3-2]]. В данной диссертации решаются вопросы развития языковой личности @@color:red; студентов-нефилологов, средствами спецкурса "Деловой английский"@@.
Цель исследования в диссертации И.Ф. [[Птицыной|Птицына]] [[[5]|pif_ar 1]] - определить, теоретически обосновать и экспериментально проверить педагогические условия, обеспечивающие формирование межкультурной компетенции вторичной языковой личности студентов. Предметом исследования является педагогическое обеспечение формирования межкультурной компетенции вторичной языковой личности студентов. [[[5, с.4] |pif_ar_s4_6]]. Как и упомянутые выше авторы И.Ф. Птицына использует модель языковой личности Ю.Н. Караулова, при этом, развивая концепцию «трёхуровневого представления модели языковой личности», ... выдвигает предположение о трёхуровневом процессе речевой деятельности [[[5, с.10] |pif_ar_s10_1]]. Особенностью данной диссертации является то, что исследуется вторичная языковая личность на базе второго иностранного языка - японского, в неязыковом вузе.[[[5, с.6] |pif_ar_s6_5_4]]. Основным достижением автора стало то, что в диссертации уточнено понятие «межкультурная компетенция вторичной языковой личности студентов» как способности воспринимать, понимать и интерпретировать феномены иной культуры, умение сравнивать их с феноменами собственной культуры, встраивать их в свою картину мира; [[[5, с.6] |pif_ar_s6_5_2]] @@color:red; студенты неязыковых вузов, изучающих японский язык в качестве второго иностранного языка@@
Цель исследования диссертации О.П. [[Протченко]] [[[6]|pop_ar 1]] - определить дидактические пути'' формирования'' //в педагогическом училище//'' языковой личности учителя начальных классов,'' совершенствовать технологию обучения будущего педагога, выявить условия для успешного развития его языковой, лингвистической, коммуникативной и профессиональной компетенции. Предмет исследования был сформулирован как "дидактико-методические принципы, формы, методы и средства формирования языковой личности учителя начальных классов". Научная новизна полученных результатов заключается в том, что в исследовании впервые дано определение понятия "языковая личность учителя начальных классов* применительно к дидактике, раскрыты его объем и структура, изучены @@color:red; его @@ общефилософские, этнокультурные, лингвистические и дидактические основы. Разработаны вербально-семантические. коммуникативно-прагматические, психолого-педагогические, когнитивные и методические пути и средства формирования языковой личности учителя начальных классов в педагогическом училище. [[[6, с.3] |pop_ar_s3]] @@color:red; Студенты пед училищ нач классы @@
Цель исследования в диссертации Ю.Н. [[Хлызовой|Хлызова]] [[[7]|hnyu_ar 1]] заключается в теоретической разработке и обосновании педагогических условий формирования медиакомпетентности вторичной языковой личности, а также экспериментальной проверке их эффективности. Предмет исследования заявлен как педагогические условия формирования медиакомпетентности вторичной языковой личности. Достоинством работы является то, что концепция вторичной языковой личности, экстраполированная в область медиаобразования, позволяет приступить к реализации процесса формирования медиакомпетентности языковой личности готовой к осуществлению не только межъязыковой, межкультурной, но и медиатизированной коммуникации.[[[7, с.3] |hnyu_ar_s9_3]] @@color:red; Студенты лингвиcты @@
Выводы
Можно констатировать что диссертации по специальности 13.00.01 посвящены, в основном, формированию либо языковой личности студентов, либо отдельных её компонентов. Лишь в диссертации Ю.Н. Хлызовой в качестве испытуемых выступают студенты лингвистических специальностей. Кроме того, в четырех из @@color:red; шести @@ диссертаций за основу принята модель языковой личности Ю.Н. Караулова. В диссертации Ю.Н. Хлызовой используется модель вторичной языковой личности И.И. Халеевой. И лишь в одной работе используется авторская модель языковой личности (В.А. Григорьева-Голубева).
4 762
По научной специальности "Общая педагогика, история педагогики и образования" (шифр 13.00.01) период с 1997 - 2011 защищено @@color:red; 5 @@ диссертаций, из них одна на соискание ученой степени доктора педагогических наук В.А. [[Григорьевой-Голубевой|Григорьева-Голубева]] [[[2]|Становление гуманистических ценностей педагога (в аспекте языковой личности)]] и четыре кандидатские диссертации Г.А. [[Ивановой|Иванова Г.А.]] , З.В. [[Емельяновой|Емельянова]], И.Ф. [[Птицыной|Птицына]], О.П. [[Протченко]], Ю.Н. [[Хлызовой|Хлызова]] [3; 4; 5; 6; 7].
| Автор | Модель ЯЛ | Цель исследования | Предмет исследования | Объект | Конингент обучаемых |
|В.А. [[Григорьева-Голубева]] | авторская |«Разработка и обоснование концепции развития гуманистических ценностей языковой личности» [2]. |«Процесс развития языковой личности учителя начальных классов» [2]. |«Процесс подготовки будущих учителей к профессионально-педагогической деятельности» [2]. |Студенты |
|Г.А. [[Иванова|Иванова Г.А.]] | Ю.Н. Караулова |«Разработка педагогических основ формирования языковой личности в процессе становления личностно-образующего потенциала иностранного языка в рамках трехступенчатой деятельностной модели обучения» [3]. |«Процесс формирования языковой личности посредством культуры иноязычного чтения» [3]. |«Формирование языковой личности в контексте образовательного потенциала иностранного языка» [3]. |Студенты - юристы |
|З.В. [[Емельянова]] | Ю.Н. Караулова |«Определение педагогических условий, обеспечивающих эффективность формирования интерактивной компетенции языковой личности при обучении иностранным языкам в неязыковом вузе» [4]. |«Процесс формирования языковой личности студентов экономического профиля в контексте подготовки к межкультурной деловой коммуникации» [4]. |«Формирование языковой личности студентов при обучении иностранному языку » [4]. | Студенты - экономисты |
|И.Ф. [[Птицына]] | Ю.Н. Караулова |«Определить, теоретически обосновать и экспериментально проверить педагогические условия, обеспечивающие формирование межкультурной компетенции вторичной языковой личности студентов» [5]. |«Педагогическое обеспечение формирования межкультурной компетенции вторичной языковой личности студентов» [5]. |«Процесс формирования межкультурной компетенции» [5]. | Студенты экономисты |
|О.П. [[Протченко]] | Ю.Н. Караулова |«Определить дидактические пути формирования в педагогическом училище языковой личности учителя начальных классов, совершенствовать технологию обучения будущего педагога, выявить условия для успешного развития его языковой, лингвистической, коммуникативной и профессиональной компетенции» [6]. |«Дидактико-методические принципы, формы, методы и средства формирования языковой личности учителя начальных классов» [6]. |«Процесс подготовки учителя в педагогическом училище» [6]. | Студенты |
|Ю.Н. [[Хлызова]]| Ю.Н. Караулова |«Теоретическая разработка и обоснование педагогических условий формирования медиакомпетентности вторичной языковой личности, а также экспериментальной проверке их эффективности» [7].|«Педагогические условия формирования медиакомпетентности вторичной языковой личности» [7]. |«Процесс формирования медиакомпетентности вторичной языковой личности» [7].| Студенты - лингвисты |
Выводы
Можно констатировать что диссертации по специальности 13.00.01 посвящены, в основном, формированию либо языковой личности студентов, либо отдельных её компонентов. Лишь в диссертации Ю.Н. Хлызовой в качестве испытуемых выступают студенты лингвистических специальностей. Кроме того, в четырех из @@color:red; шести @@ диссертаций за основу принята модель языковой личности Ю.Н. Караулова. В диссертации Ю.Н. Хлызовой используется модель вторичной языковой личности И.И. Халеевой. И лишь в одной работе используется авторская модель языковой личности (В.А. Григорьева-Голубева).
4 762
По научной специальности "Общая педагогика, история педагогики и образования" (шифр 13.00.01) в период с 1997 - 2011 защищено @@color:red; 6 @@ диссертаций, из них одна на соискание ученой степени доктора педагогических наук В.А. [[Григорьевой-Голубевой|Григорьева-Голубева]] [[[2]|Становление гуманистических ценностей педагога (в аспекте языковой личности)]] и четыре кандидатские диссертации Г.А. [[Ивановой|Иванова Г.А.]] , З.В. [[Емельяновой|Емельянова]], И.Ф. [[Птицыной|Птицына]], О.П. [[Протченко]], Ю.Н. [[Хлызовой|Хлызова]] [[[3|iga_ar 1]]; [[4|ezv_ar 1]]; [[5|pif_ar 1]]; [[6|pop_ar 1]]; [[7|hnyu_ar 1]]]. Результаты анализа согласно приведены в таблице 1
<p align="right"> Таблица 1 </p>
| Автор | Модель ЯЛ | Цель исследования | Конингент обучающихся |
|В.А. [[Григорьева-Голубева]] | авторская |«Разработка и обоснование концепции развития гуманистических ценностей языковой личности» [2, c. 6]. | Студенты - педагоги |
|Г.А. [[Иванова|Иванова Г.А.]] | Ю.Н. Караулова |«Разработка педагогических основ формирования языковой личности в процессе становления личностно-образующего потенциала иностранного языка в рамках трехступенчатой деятельностной модели обучения» [3, c. 7]. | Студенты - юристы |
|З.В. [[Емельянова]] | Ю.Н. Караулова |«Определение педагогических условий, обеспечивающих эффективность формирования интерактивной компетенции языковой личности при обучении иностранным языкам в неязыковом вузе» [4, с. 4]. | Студенты - экономисты |
|И.Ф. [[Птицына]] | Ю.Н. Караулова |«Определить, теоретически обосновать и экспериментально проверить педагогические условия, обеспечивающие формирование межкультурной компетенции вторичной языковой личности студентов» [5, с. 4]. | Студенты экономисты |
|О.П. [[Протченко]] | Ю.Н. Караулова |«Определить дидактические пути формирования в педагогическом училище языковой личности учителя начальных классов, совершенствовать технологию обучения будущего педагога, выявить условия для успешного развития его языковой, лингвистической, коммуникативной и профессиональной компетенции» [6, с. 1]. | Студенты - педагоги |
|Ю.Н. [[Хлызова]]| И.И. Халеевой |«Теоретическая разработка и обоснование педагогических условий формирования медиакомпетентности вторичной языковой личности, а также экспериментальной проверке их эффективности» [7, с. 3 ].| Студенты - лингвисты |
Выводы
Можно констатировать что диссертации по специальности 13.00.01 посвящены, в основном, формированию либо языковой личности студентов, либо отдельных её компонентов. Лишь в диссертации Ю.Н. Хлызовой в качестве обучающихся выступают студенты лингвистических специальностей. Кроме того, в четырех из @@color:red; пяти @@ диссертаций за основу принята модель языковой личности Ю.Н. Караулова. В диссертации Ю.Н. Хлызовой используется модель вторичной языковой личности И.И. Халеевой. И лишь в одной работе используется авторская модель языковой личности (В.А. Григорьева-Голубева).
<center>''Анализ диссертаций по научной специальности "Общая педагогика, история педагогики и образования"'' </center>
По научной специальности "Общая педагогика, история педагогики и образования" (шифр 13.00.01) в период с 1997 - 2011 защищено @@color:red; 6 @@ диссертаций, из них одна на соискание ученой степени доктора педагогических наук В.А. [[Григорьевой-Голубевой|Григорьева-Голубева]] [[[2]|Становление гуманистических ценностей педагога (в аспекте языковой личности)]] и четыре кандидатские диссертации Г.А. [[Ивановой|Иванова Г.А.]] , З.В. [[Емельяновой|Емельянова]], И.Ф. [[Птицыной|Птицына]], О.П. [[Протченко]], Ю.Н. [[Хлызовой|Хлызова]] [[[3|iga_ar 1]]; [[4|ezv_ar 1]]; [[5|pif_ar 1]]; [[6|pop_ar 1]]; [[7|hnyu_ar 1]]]. Результаты анализа согласно приведены в таблице 1
<p align="right"> Таблица 1 </p>
| Автор | Модель ЯЛ | Цель исследования языковой личности | Конингент обучающихся |
|В.А. [[Григорьева-Голубева]] | авторская | Развитие « ... гуманистических ценностей языковой личности» [2, c. 6]. | Студенты - педагоги |
|Г.А. [[Иванова|Иванова Г.А.]] | Ю.Н. Караулова | формирование « ... языковой личности в процессе становления личностно-образующего потенциала иностранного языка ... » [3, c. 7]. | Студенты - юристы |
|З.В. [[Емельянова]] | Ю.Н. Караулова | формирование « ... интерактивной компетенции языковой личности ... » [4, с. 4]. | Студенты - экономисты |
|И.Ф. [[Птицына]] | Ю.Н. Караулова | формирование « ... межкультурной компетенции вторичной языковой личности ...» [5, с. 4]. | Студенты экономисты |
|О.П. [[Протченко]] | Ю.Н. Караулова | формирование «.... языковой личности учителя начальных классов .... » [6, с. 1]. | Студенты - педагоги |
|Ю.Н. [[Хлызова]]| И.И. Халеевой | формирование «.... медиакомпетентности вторичной языковой личности ... » [7, с. 3 ]. | Студенты - лингвисты |
Можно констатировать что диссертации по специальности 13.00.01 посвящены, в основном, формированию либо языковой личности студентов, либо отдельных её компонентов. Лишь в диссертации Ю.Н. Хлызовой в качестве обучающихся выступают студенты лингвистических специальностей. В остальных диссертациях обучающимися являются студенты педагогических, юридических и экономических специальностей. В четырех из @@color:red; шести @@ диссертаций за основу принята модель языковой личности Ю.Н. Караулова. В диссертации Ю.Н. Хлызовой используется модель вторичной языковой личности И.И. Халеевой. И лишь в одной работе используется авторская модель языковой личности (В.А. Григорьева-Голубева).
Поиск диссертаций по специальности "Теория и методика обучения и воспитания", затрагивающих концепт "языковая личность" за период с 1990 года по 2019 позволил выявить 9 диссертаций. Первые диссертации были защищены в 1997 и 1999 годах, остальные - в период с 2003 по 2013 год.
В данной группе можно выделить исследования, посвященные формированию языковой личности: докторские диссертации И.Б. [[Игнатовой|Игнатова]] и Л.П. [[Халяпиной|Халяпина]] [8; 9]. В этом же ключе выполнены диссертации на соискание ученой степени кандидата наук Н.А. [[Дерябиной|Дерябина]] [10] и Н.Е. [[Лысенко]] [11].
Первой по времени написания является диссертация И.Б. [[Игнатовой|Игнатова]] [[[8]|iib_dis 1]], целью которой являлось создание и обоснование методической системы обучения грамматическому строю русского языка иностранных студентов на основе системно-функционального подхода к изучению языковых единиц и с учетом преемственно-перспективных связей между разными этапами обучения в рамках подготовительного факультета. Предметом исследования в данной диссертации выступила методика формирования базового грамматического строя русской речи иностранных студентов как основы становления вторичной языковой личности филолога. В диссертации показано, что " .. понятие языковой личности не только является системообразующим фактором познания языка, но и открывает новые возможности перед методикой преподавания ..... языка ...." [[[8, c.32]|iib_dis_s32_3]]. Интересным фактом является вывод о том что текст является основной единицей " обучения .... студентов .... и развития языкового и лингвокогнитивного сознания будущих профессионалов... ".[[[8, c.12]|iib_dis_s12_1]]. Любая языковая личность на каждом уровне своей организации имеет базовый инвариантный компонент, который поддается описанию и типологизации для целей обучения @@color:red; русскому языку как родному, так и неродному @@ [[[8, c.33]|iib_dis_s33_1]]. @@color:red; контингент иностранных студенты @@ Модель караулова
В диссертации Л.П. [[Халяпиной|Халяпина]] [[[9]|hlp_ar 1]] целью исследования стала разработка теоретических основ методической системы формирования поликультурной языковой личности посредством Интернет-коммуникации и практическая реализация этой системы в языковом вузе. Предметом исследования, в свою очередь, является методика формирования структурных компонентов поликультурной языковой личности посредством различных видов Интернет-коммуникации [[[9, c. 6]|hlp_ar_s6]]. В данной работе введено понятие@@color:red; "поликультурная языковая личность" @@ [[9, стр 11|hlp_ar_s11_2_1]], трактуемое как личность, в структуре которой средствами иностранного языка сформирован комплекс компетенций, позволяющих ей ориентироваться в концептосферах универсального, этнокультурного, социокультурного и индивидуально-культурного типов. Последнее, по утверждению автора исследования, обеспечивает развитие её готовности и способности к активному позитивному взаимодействию с представителями поликультурного мира. [[[9, c. 22]|hlp_ar_s22]]. Обучение иностранным языкам @@color:red; студентов языковых специальностей. @@ Караулов
Цель исследования диссертации Н.А. [[Дерябиной|Дерябина]] [[[10]|derna_ar 1]] сформулирована как теоретико-методологическое обоснование, разработка и апробация модели развития языковой личности студентов (неязыковых специальностей) при изучении английского языка в вузе. Предмет исследования составила модель развития языковой личности студентов неязыковых специальностей в процессе изучения английского языка [[[10, c. 5]|derna_ar_s5_5]]. В диссертации уделялось внимание понятийно-категориальному аппарату наук, изучаемых студентами [[[10, c. 11]|derna_ar_s11_3]] и проблеме формирования языкового иммунитета, под которым понимается "способность индивида противостоять речевой деструктивности среды, в том числе иноязычной, сохраняя свою идентичность на основе духовно-нравственной целостности".[[[10, c. 10]|derna_ar_s10_1_1]] @@color:red;студенты не лингвисты @@ Караулов
В диссертации Н.Е. [[Лысенко]] [[[11]|lne_ar 1]] цель исследования заключается в создании методики развития языковой личности при обучении русскому и иностранному (английскому) языкам в неязыковом вузе и разработке проблемы функционирования и взаимодействия вербально-семантического, лингво-когнитивного, мотивационного уровней культурологического компонента языковой личности. Предметом исследования выступила методика развития языковой личности в неязыковом вузе, в основе которой лежит концепция формирования языковой личности Ю.Н. Караулова [[[11, c. 5]|lne_ar_s5_3]]. При этом решается проблема создании методики развития языковой личности при обучении русскому и иностранному (английскому) языкам[[[11, c. 5]|lne_ar_s5_1]]. На английский язык отводится больше времени.
@@color:red;студенты не лингвисты @@ Караулов
Диссертации С.М. [[Андреева]] [[[12]|asm_ar 1]] и С.Б. [[Мордас]] [[[13]|mcb_ar 1]]
посвящены формированию компонентов вторичной языковой личности.
Цель исследования в диссертации С.М. Андреевой - создание и обоснование методической системы формирования коммуникативной культуры иностранных студентов-филологов на основе использования учебного диалога в процессе личностно ориентированного обучения русскому языку на подготовительном факультете. Предмет исследования сформулирован как "... методика поэтапного формирования коммуникативной культуры - «вторичной» языковой личности ".[[[12. с. 3]|asm_ar_s3_2]] Коммуникативная культура рассматривается как интегральное качество «вторичной» языковой личности @@color:red; иностранных студентов-филологов.@@ [[[12. с. 5]|asm_ar_s5_1-4]] Ю.Н. Караулова
Цель исследования в диссертации С.Б. Мордас сформулирована как создание и теоретической обоснование лингвометодической модели формирования грамматико-коммуникативной компетенции «вторичной» языковой личности франкоговорящих студентов в процессе изучения предложно-падежных конструкций с пространственным значением. Предмет исследования - методика поэтапного формирования и развития грамматико-коммуникативной компетенции вторичной языковой личности франкоговорящих студентов при системно-функциональном подходе к изучению предложно-падежных конструкций с пространственным значением.[[[13 c. 3]|mcb_ar_s3_2]]. Таким образом в этих диссертациях используется парадигма языковой личности иностранных студентов для решения узкоспециализированных лингводидактических задач.
Следует отметить, что в этих диссертациях @@color:red; студенты иностранцы @@ [[[13 c. 6]|snv_ar_s6_3]] РКИ Караулов
Целью диссертационного исследования Н.В. [[Смыкуновой|Смыкунова]] [[[14]|snv_ar 1]] явилось определение роли и места прецедентных феноменов в структуре русской языковой личности, выявление того набора прецедентных феноменов, который может быть необходим для реального дискурса этой личности, а также разработка системы включения этих единиц в процесс преподавания русского языка как иностранного В диссертации исследуются вопросы, относящиеся к компонентам, которые описывают свойства феноменов, характеризующих развитие языковой личности. Предмет исследования - прецедентные феномены как структурные компоненты ассоциативно-вербальной сети русской языковой личности и лингвокультурологические основы методики работы с прецедентными феноменами в процессе обучения русскому языку как иностранному. [[[14 c.5]|snv_ar_s5_2]] @@color:red; студенты иностранцы @@ [[[14 c.6]|snv_ar_s6_3]] РКИ Караулов
В диссертационном исследовании Е.А. [[Дрянгиной|Дрянгина]] [[[15]|dea_ar 1]] цель была сформулирована следующим образом: разработка и экспериментальная проверка методики обучения студентов-филологов использованию метафоры и прецедентного текста как ассоциативно-образных средств репрезентации языковой личности педагога. В своей диссертации автор исследует вопросы использования ассоциативно-образных средств репрезентации языковой личности учителя в образовательном процессе. В качестве таких средств предлагается использовать метафоры и прецендентные тексты [[[15 c.6]|dea_ar_s6_2]] @@color:red; студенты филологи @@ Караулов
Особый интерес представляет диссертация И.Р. [[Абдулмяновой|Абдулмянова]] [[[16]|air_ar 1]]. Цель исследования в ней состоит в теоретическом обосновании, разработке и экспериментальной проверке методики формирования специального двуязычного тезауруса студентов - будущих переводчиков в предметной области «Экономика». Предмет исследования - методика формирования специального двуязычного тезауруса переводчика. [[[16, стр 4].|air_ar_s4_7]] Исходя из канонической языковой модели, автор делает заключение: "Если тезаурус личности характеризует языковую личность человека, то его языковая личность характеризуется профессиональным тезаурусом" [[[16 c.10]|air_ar_s10]]. Данный тезис особенно ценен с точки зрения понимания роли тезауруса языковой личности в процессе профессионально-личностного саморазвития будущего специалиста. @@color:red; Студенты лингвисты @@ *[[[16 c.3]|air_ar_s3_2]]*[[[16 c.16]|air_ar_s16_2]] иностранный язык. Караулов
ссылка на [ext[ссылка наА.А. Никитину|https://rusneb.ru/catalog/000200_000018_RU_NLR_bibl_1081644/viewer/]]
Одна диссертация Г.И. [[Быкова]] [[[17]|bgi_ar 1]] по специальности 13.00.06 "Теория и методика воспитания", которая в настоящее время не входит в перечень специальностей ВАК, может быть по своей направленности отнесена к специальности 13.00.02. В данной работе была поставлена следующая цель: выявить, теоретически обосновать педагогические возможности комплекса методико-технологических средств в процессе воспитания языковой личности студентов-словесников. Предмет исследования - воспитание языковой личности студентов-словесников методико-технологическими средствами в процессе преподавания лингвистических и речеведческих дисциплин.
В диссертации определены понятие языковой личности студентов-словесников, ее структура и содержание, а также выявлены педагогические возможности комплекса методико-технологических средств воспитания языковой личности @@color:red; студентов-словесников@@ . Караулов
выводы
Как было отмечено выше четыре диссертации посвящены формированию языковой личности. В остальных рассматриваются вопросы развития отдельных компонентов языковой личности (компетенций, тезауруса, прецендентных феноменов (текстов) и т.д.). Из девяти диссертаций только в двух в качестве обучающихся рассматриваются студенты-не лингвисты. Общим для всех работ является то, что во всех диссертациях в основе структуры языковой личности лежит модель Ю.Н. Караулова
5 270
Поиск диссертаций по специальности "Теория и методика обучения и воспитания", затрагивающих концепт "языковая личность" за период с 1990 года по 2019 позволил выявить 9 диссертаций. Первые диссертации были защищены в 1997 и 1999 годах, остальные - в период с 2003 по 2013 год.
| Автор | Модель ЯЛ | Цель исследования | Предмет исследования | Объект | Конингент обучаемых |
|И.Б. [[Игнатова]] | Ю.Н. Караулова |«Создание и обоснование методической системы обучения грамматическому строю русского языка иностранных студентов на основе системно-функционального подхода к изучению языковых единиц и с учетом преемственно-перспективных связей между разными этапами обучения в рамках подготовительного факультета» [8]. |«Методика формирования базового грамматического строя русской речи иностранных студентов как основы становления вторичной языковой личности филолога» [8]. |«Динамический процесс поэтапного обучения грамматическому строю русской речи иностранных студентов-филологов в соответствии с концепцией формирования грамматической компетенции языковой личности будущего учителя-русиста» [8]. | Студенты - иностранцы |
|Л.П. [[Халяпина]]| Ю.Н. Караулова |«Разработка теоретических основ методической системы формирования поликультурной языковой личности посредством Интернет-коммуникации и практическая реализация этой системы в языковом вузе» [9]. |«Методика формирования структурных компонентов поликультурной языковой личности посредством различных видов Интернет-коммуникации» [9]. |«Процесс обучения иностранным языкам в языковом вузе как процесс поэтапного формирования поликультурной языковой личности» [9]. |Студенты - филологи |
|Н.А. [[Дерябина]] | Ю.Н. Караулова |«Теоретико-методологическое обоснование, разработка и апробация модели развития языковой личности студентов (неязыковых специальностей) при изучении английского языка в вузе» [10]. |«Модель развития языковой личности студентов неязыковых специальностей в процессе изучения английского языка» [10]. |«Процесс развития языковой личности студентов в вузовском образовании» [10]. | Студенты не лингвисты |
|Н.Е. [[Лысенко]] | Ю.Н. Караулова |«Создании методики развития языковой личности при обучении русскому и иностранному (английскому) языкам в неязыковом вузе и разработке проблемы функционирования и взаимодействия вербально-семантического, лингво-когнитивного, мотивационного уровней культурологического компонента языковой личности» [11]. |«Методика развития языковой личности в неязыковом вузе» [11]. |«Процесс развития языковой личности при обучении русскому и английскому языкам в неязыковом вузе» [11]. |Студенты - нефилологи |
|С.М. [[Андреева]] | Ю.Н. Караулова |«Создание и обоснование методической системы формирования коммуникативной культуры иностранных студентов-филологов на основе использования учебного диалога в процессе личностно ориентированного обучения русскому языку на подготовительном факультете» [12]. |«Методика поэтапного формирования коммуникативной культуры - «вторичной» языковой личности» [12]. |«Процесс поэтапного формирования коммуникативной культуры иностранных студентов-филологов на основе использования учебного диалога» [12]. | Иностранных студенты-филологи. |
|С.Б. [[Мордас]] | Ю.Н. Караулова |«Создание и теоретической обоснование лингвометодической модели формирования грамматико-коммуникативной компетенции «вторичной» языковой личности франкоговорящих студентов в процессе изучения предложно-падежных конструкций с пространственным значением» [13]. |«Методика поэтапного формирования и развития грамматико-коммуникативной компетенции вторичной языковой личности франкоговорящих студентов при системно-функциональном подходе к изучению предложно-падежных конструкций с пространственным значением» [13]. |«Динамический процесс поэтапного обучения франко говорящих студентов ППК с пространственным значением в соответствии с концепцией формирования грамматико-коммуникативной компетенции языковой личности обучающихся» [13]. | Иностранных студенты |
|Н.В. [[Смыкунова]] | Ю.Н. Караулова |«Определение роли и места прецедентных феноменов в структуре русской языковой личности, выявление того набора прецедентных феноменов, который может быть необходим для реального дискурса этой личности, а также разработка системы включения этих единиц в процесс преподавания русского языка как иностранного» [14]. |«Прецедентные феномены как структурные компоненты ассоциативно-вербальной сети русской языковой личности и лингвокультурологические основы методики работы с прецедентными феноменами в процессе обучения русскому языку как иностранному» [14]. |«Прецедентные феномены, отобранные методом сплошной выборки из Русского Ассоциативного Тезауруса с учетом лексического минимума повседневного общения» [14].| Иностранных студенты |
|Е.А. [[Дрянгина]] | Ю.Н. Караулова |«Разработка и экспериментальная проверка методики обучения студентов-филологов использованию метафоры и прецедентного текста как ассоциативно-образных средств репрезентации языковой личности педагога» [15]. |«Методика обучения будущих учителей русского языка ассоциативно- образным средствам репрезентации языковой личности педагога» [15]. |«Процесс обучения студентов-филологов ассоциативно-образным средствам репрезентации языковой личности педагога» [15]. | Студенты филологи |
|И.Р. [[Абдулмянова]] | Ю.Н. Караулова |«Теоретическое обоснование, разработка и экспериментальная проверка методики формирования специального двуязычного тезауруса студентов - будущих переводчиков в предметной области «Экономика» » [16]. |«Методика формирования специального двуязычного тезауруса переводчика» [16]. |«Процесс обучения профессиональному (экономическому) подъязыку будущих переводчиков в языковом вузе» [16]. | Студенты экономисты |
|Г.И. [[Быкова]] | Ю.Н. Караулова |«Выявить, теоретически обосновать педагогические возможности комплекса методико-технологических средств в процессе воспитания языковой личности студентов-словесников» [17]. |«Воспитание языковой личности студентов-словесников методико-технологическими средствами в процессе преподавания лингвистических и речеведческих дисциплин» [17]. |«Процесс преподавания лингвистических и речеведческих дисциплин» [17]. | Студенты-словесники |
В данной группе можно выделить исследования, посвященные формированию языковой личности: докторские диссертации И.Б. [[Игнатовой|Игнатова]] и Л.П. [[Халяпиной|Халяпина]] [8; 9]. В этом же ключе выполнены диссертации на соискание ученой степени кандидата наук Н.А. [[Дерябиной|Дерябина]] [10] и Н.Е. [[Лысенко]] [11].
выводы
Как было отмечено выше четыре диссертации посвящены формированию языковой личности. В остальных рассматриваются вопросы развития отдельных компонентов языковой личности (компетенций, тезауруса, прецендентных феноменов (текстов) и т.д.). Из девяти диссертаций только в двух в качестве обучающихся рассматриваются студенты-не лингвисты. Общим для всех работ является то, что во всех диссертациях в основе структуры языковой личности лежит модель Ю.Н. Караулова
5 270
Поиск диссертаций по специальности "Теория и методика обучения и воспитания", затрагивающих концепт "языковая личность" за период с 1990 года по 2019 позволил выявить 9 диссертаций. Первые диссертации были защищены в 1997 и 1999 годах, остальные - в период с 2003 по 2013 год. Это диссертации И.Б. [[Игнатовой|Игнатова]] [[[8]|iib_dis 1]], Л.П. [[Халяпиной|Халяпина]] [[[9]|hlp_ar 1]], Н.А. [[Дерябиной|Дерябина]] [[[10]|derna_ar 1]], Н.Е. [[Лысенко]] [[[11]|lne_ar 1]], С.М. [[Андреевой|Андреева]] [[[12]|asm_ar 1]], С.Б. [[Мордас]] [[[13]|mcb_ar 1]], Н.В. [[Смыкуновой|Смыкунова]] [[[14]|snv_ar 1]], Е.А. [[Дрянгиной|Дрянгина]] [[[15]|dea_ar 1]] и И.Р. [[Абдулмяновой|Абдулмянова]] [[[16]|air_ar 1]].
<p align="right"> Таблица №2 </p>
| Автор | Модель ЯЛ | Цель исследования | Конингент обучаемых |
|И.Б. [[Игнатова]] | Ю.Н. Караулова |«Создание и обоснование методической системы обучения грамматическому строю русского языка иностранных студентов на основе системно-функционального подхода к изучению языковых единиц и с учетом преемственно-перспективных связей между разными этапами обучения в рамках подготовительного факультета» [8, с. 11 ]. | Иностранные студенты |
|Л.П. [[Халяпина]]| Ю.Н. Караулова |«Разработка теоретических основ методической системы формирования поликультурной языковой личности посредством Интернет-коммуникации и практическая реализация этой системы в языковом вузе» [9, с. 6]. | Студенты - филологи |
|Н.А. [[Дерябина]] | [[Ю.Н. Караулова|derna_ar_s12_2]] |«Теоретико-методологическое обоснование, разработка и апробация модели развития языковой личности студентов (неязыковых специальностей) при изучении английского языка в вузе» [10, с. 5]. | Студенты - нефилологи |
|Н.Е. [[Лысенко]] | Ю.Н. Караулова |«Создании методики развития языковой личности при обучении русскому и иностранному (английскому) языкам в неязыковом вузе и разработке проблемы функционирования и взаимодействия вербально-семантического, лингво-когнитивного, мотивационного уровней культурологического компонента языковой личности» [11, с. 5]. | Студенты - нефилологи |
|С.М. [[Андреева]] | Ю.Н. Караулова, И.И. Халеевой |«Создание и обоснование методической системы формирования коммуникативной культуры иностранных студентов-филологов на основе использования учебного диалога в процессе личностно ориентированного обучения русскому языку на подготовительном факультете» [12, с. 2]. | Иностранные студенты-филологи. |
|С.Б. [[Мордас]] | И.И. Халеевой |«Создание и теоретической обоснование лингвометодической модели формирования грамматико-коммуникативной компетенции «вторичной» языковой личности франкоговорящих студентов в процессе изучения предложно-падежных конструкций с пространственным значением» [13, с. 2]. | Иностранные студенты |
|Н.В. [[Смыкунова]] | Ю.Н. Караулова |«Определение роли и места прецедентных феноменов в структуре русской языковой личности, выявление того набора прецедентных феноменов, который может быть необходим для реального дискурса этой личности, а также разработка системы включения этих единиц в процесс преподавания русского языка как иностранного» [14, с. 2]. |Иностранные студенты |
|Е.А. [[Дрянгина]] | Ю.Н. Караулова |«Разработка и экспериментальная проверка методики обучения студентов-филологов использованию метафоры и прецедентного текста как ассоциативно-образных средств репрезентации языковой личности педагога» [15, с. 5]. | Студенты филологи |
|И.Р. [[Абдулмянова]] | Ю.Н. Караулова |«Теоретическое обоснование, разработка и экспериментальная проверка методики формирования специального двуязычного тезауруса студентов - будущих переводчиков в предметной области «Экономика» » [16, с. 4]. |Студенты экономисты |
В данной группе можно выделить исследования, посвященные формированию языковой личности: докторские диссертации И.Б. [[Игнатовой|Игнатова]] и Л.П. [[Халяпиной|Халяпина]] [8; 9]. В этом же ключе выполнены диссертации на соискание ученой степени кандидата наук Н.А. [[Дерябиной|Дерябина]] [10] и Н.Е. [[Лысенко]] [11].
выводы
Как было отмечено выше четыре диссертации посвящены формированию языковой личности. В остальных рассматриваются вопросы развития отдельных компонентов языковой личности (компетенций, тезауруса, прецендентных феноменов (текстов) и т.д.). Из девяти диссертаций только в двух в качестве обучающихся рассматриваются студенты-не лингвисты. Общим для всех работ является то, что во всех диссертациях в основе структуры языковой личности лежит модель Ю.Н. Караулова
5 270
<center>''Анализ диссертаций по научной специальности "Теория и методика обучения и воспитания"'' </center>
Поиск диссертаций по специальности "Теория и методика обучения и воспитания", затрагивающих концепт "языковая личность" за период с 1990 года по 2019 позволил выявить 9 диссертаций. Первые диссертации были защищены в 1997 и 1999 годах, остальные - в период с 2003 по 2013 год. Это диссертации И.Б. [[Игнатовой|Игнатова]] [[[8]|iib_dis 1]], Л.П. [[Халяпиной|Халяпина]] [[[9]|hlp_ar 1]], Н.А. [[Дерябиной|Дерябина]] [[[10]|derna_ar 1]], Н.Е. [[Лысенко]] [[[11]|lne_ar 1]], С.М. [[Андреевой|Андреева]] [[[12]|asm_ar 1]], С.Б. [[Мордас]] [[[13]|mcb_ar 1]], Н.В. [[Смыкуновой|Смыкунова]] [[[14]|snv_ar 1]], Е.А. [[Дрянгиной|Дрянгина]] [[[15]|dea_ar 1]] и И.Р. [[Абдулмяновой|Абдулмянова]] [[[16]|air_ar 1]].
<p align="right"> Таблица 2 </p>
| Автор | Модель ЯЛ | Цель исследования языковой личности | Конингент обучаемых |
|И.Б. [[Игнатова]] | Ю.Н. Караулова |« ... создание ... системы обучения грамматическому строю русского языка .... в соответствии с концепцией формирования грамматической компетенции языковой личности» [8, с. 11 ]. | Иностранные студенты - филологи |
|Л.П. [[Халяпина]]| Ю.Н. Караулова | « ... системы формирования поликультурной языковой личности ...» [9, с. 6]. | Студенты - филологи |
|Н.А. [[Дерябина]] | [[Ю.Н. Караулова|derna_ar_s12_2]] |« ... разработка ... модели развития языковой личности ... » [10, с. 5]. | Студенты - нефилологи |
|Н.Е. [[Лысенко]] | Ю.Н. Караулова |«... создании методики развития языковой личности ... » [11, с. 5]. | Студенты - нефилологи |
|С.М. [[Андреева]] | Ю.Н. Караулова, И.И. Халеевой |«Создание ... методической системы формирования коммуникативной культуры ... » [12, с. 2]. « ... «вторичной» языковой личности» [12, с. 2]. | Иностранные студенты-филологи. |
|С.Б. [[Мордас]] | И.И. Халеевой |« ... создание .... лингвометодической модели формирования грамматико-коммуникативной компетенции «вторичной» языковой личности ... » [13, с. 2]. | Иностранные студенты подготовительных факультетов |
|Н.В. [[Смыкунова]] | Ю.Н. Караулова |« ... определение роли и места прецедентных феноменов в структуре русской языковой личности ... » [14, с. 2]. | Иностранные студенты |
|Е.А. [[Дрянгина]] | Ю.Н. Караулова |« ... разработка ... методики обучения студентов-филологов использованию метафоры и прецедентного текста как ассоциативно-образных средств репрезентации языковой личности педагога» [15, с. 5]. | Студенты филологи |
|И.Р. [[Абдулмянова]] | Ю.Н. Караулова | «... обоснование роли специального тезауруса в становлении языковой личности» [16, с. 7]. | Студенты экономисты |
В данной группе можно выделить исследования, посвященные формированию или развитию языковой личности: докторская диссертация Л.П. [[Халяпиной|Халяпина]] [8; 9]. В этом же ключе выполнены диссертации на соискание ученой степени кандидата наук Н.А. [[Дерябиной|Дерябина]] [10] и Н.Е. [[Лысенко]] [11].
В остальных рассматриваются вопросы развития отдельных компонентов языковой личности (компетенций, тезауруса, прецендентных феноменов (текстов) и т.д.). Из девяти диссертаций только в трех в качестве обучающихся рассматриваются студенты - нефилологи. В двух диссертациях в основе структуры языковой личности используется модель языковой личности И.И. Халеевой, причем в диссертации С.М. Андреевой используется также модель Ю.Н. Караулова. Эта же модель используется в остальных диссертациях.
Анализ диссертационных работ по специальности 13.00.08 "Теория и методика профессионального образования" показал что за искомый период было защищено четыре диссертации защита которых проходила в 2002-2012 годах.
Данная группа работ представляет особый интерес, поскольку в ней представлены диссертации в области профессионального образования.
Общим для рассматриваемых работ является контингент обучающихся: это либо студенты вузов, либо обучающиеся в системе дополнительного профессионального образования.
Диссертация А.В. [[Юрьевой|Юрьева]] [[[18]|yuav_ar 1]] продолжает традицию сочинской лингвориторической школы А.А. Ворожбитовой, рассматривая вопросы становления профессиональной личности учителя с позиций парадигмы лингвориторического идеала. [[[18, с.4]|yuav_ar_s4_3]]. Цель исследования состояла в том, чтобы теоретически обосновать, спроектировать и экспериментально апробировать процесс становления профессиональной языковой личности будущего учителя с опорой на категорию лингвориторического идеала.
@@color:green;Отмечая, что в области воспитательных функций педвуза в 90 годы ХХ века были приняты ошибочные решения, которые привели к дефициту социально значимых и личностно привлекательных идеалов, автор утверждает что это сказалось на мотивации студентов к учению, самосовершенствованию, человеческому и профессиональному росту. Впоследствии это пагубно отразилось на качестве знаний, умении и навыков по изучаемым дисциплинам и, в конечном счете, на формировании личностных и профессиональная качеств будущего педагога.@@ [[[18, с. 3]|yuav_ar_s3_1]]
А.В. Юрьева исследует содержание понятий «языковая личность», «профессиональная языковая личность» и предлагает модель профессиональной языковой личности учителя с учетом категории лингвориторического идеала[[[18, с. 12]|yuav_ar_s12_2]]. Основанием этому автор считает положение о том, что "речь учителя выступает наиболее важным компонентом его педагогического мастерства, т.к. основным «орудием труда» любого преподавателя является слово"[[[18, с. 12]|yuav_ar_s12_1]], которое находит отражение в концепте «языковая личность».
В итоге диссертантом предложена блочная модель процесса становления профессиональной языковой личности учителя в ходе вузовской подготовки, в которой одним из основных элементов является категория лингвориторического идеала. [[[18, с. 13]|yuav_ar_s13_3]] Следует отметить что рассматривается профессиональная языковая личность студента вуза готовящего учителя, то есть специалиста гуманитарного профиля.
Диссертация другого представителя сочинской лингвориторической школы Н.А. [[Дацун]] [[[19|dna_ar 1]]] посвящена билингвальной подготовке юристов как профессиональных языковых личностей. Цель исследования состояла в разработке и и апробации целостного педагогического процесса билингвальной подготовки будущего юриста на лингвориторической концептуальной основе в ходе изучения английского языка. Автор, естественно, придерживается концепции лингвориторического идеала, а именно билингвальной лингвориторической компетенции.
В диссертации разработана "идеальная модель выпускника «юрист как профессиональная языковая личность», выступающая педагогической конкретизацией социального заказа на профессиональную подготовку юриста в условиях глобализации мирового социокультурного и экономического пространства" [[[19, с.16 |dna_ar_s16_2]]]. Разработанная автором модель состоит из 4 компонентов: 1) билингвальной лингвориторической компетенции как теоретико-операциональной основы сопряженного функционирования вербально-семантической и лингвокогнитивной подструктур языковой личности; 2) общей социомежкультурной эрудиции; 3) профессиональной юридической компетенции; 4) демократической стратегии социомежкультурной коммуникации. Характерно, что исследование также раскрывает особенности формирования языковой личности обучающихся гуманитарного профиля.
В диссертации С.Ю. [[Годуновой|Годунова]] [[[20]|gsyu_ar 1]] исследуются педагогические условия развития языковой личности студента технического вуза. Автор проводит анализ теоретико-методологического статуса проблемы языковой личности в философской, культурологической, психологической и лингвистической науках. По её мнению языковая личность представляет собой совокупность социально-психологических и педагогических свойств человека, определяющих его способность к творческой текстовой деятельности и отображению специфической национально-языковой картины мира, конструктивное взаимодействие с окружающей средой, открытость для восприятия и адаптации в иной ментально-языковой среде с целью приобщения к иноязычной культуре и определения своего места в спектре различных культур. Следует отметить что в данной диссертации чётко прослеживается идея необходимости соизучения родного и иностранного языков, родной и иноязычной культур [[[20 c. 11]|gsyu_ar_s11_2]] в процессе изучения иностранного языка.
Рассматривая другие диссертации, защищенные по специальности 13.00.08 "Теория и методика профессионального образования", необходимо выделить докторскую диссертацию С.Д. [[Пивкин]]а [[[21]|psd_ar 1]]. Это единственная докторская диссертация, посвященная изучению языковой личности в теории и методике профессионального образования. Цель исследования сформулирована как научное обоснование и экспериментальная апробация теоретико-методологических и дидактических основ самореализации языковой личности переводчика в системе дополнительного профессионального образования. В данной работе решалась проблема "... выявления и обоснования теоретико-методологических и дидактических основ самореализации языковой личности переводчика в системе дополнительного профессионального образования" [[[21 c. 4]|psd_ar_s4_3]], что и определило предмет исследования. При этом под переводчиком подразумевался не профессиональный лингвист или филолог, а выпускник технического или экономического вуза, обучавшийся по дополнительной образовательной программе "Переводчик в сфере профессиональной коммуникации". Ключевой тезис данной работы - "концепция языковой личности тем и продуктивна, что она связывает в некое онтологическое единство все грани языковой личности, включая ее аутентичность в овладении родным языком, профессиональным подъязыком и черты, приобретенные в процессе изучения иностранного языка [[[21 c. 3]|psd_ar_s3_4]]
Всё перечисленное даёт основание сделать следующий вывод. Первые три диссертации рассматривают вопросы развития языковой личности студентов, в диссертации С.Д. Пивкина исследуемый контингент - профессионалы @@color:green; повышающие свой уровень@@ в системе дополнительного профессионального образования
Следует отметить, что только одна диссертация А.В. Юрьевой ориентирована на профессионалов филологов, три остальные рассматривают вопросы формирования языковой личности юристов (Н.А. Дацун ) и специалистов технических специальностей (С.Ю. Годунова, С.Д. Пивкин).
Анализ диссертационных работ по специальности 13.00.08 "Теория и методика профессионального образования" показал что за искомый период было защищено четыре диссертации защита которых проходила в 2002-2012 годах.
Данная группа работ представляет особый интерес, поскольку в ней представлены диссертации в области профессионального образования.
Общим для рассматриваемых работ является контингент обучающихся: это либо студенты вузов, либо обучающиеся в системе дополнительного профессионального образования.
| Автор | Модель ЯЛ | Цель исследования | Предмет исследования | Объект | Конингент обучаемых |
|А.В. [[Юрьева]] | А.А. Ворожбитовой |«Теоретически обосновать, спроектировать и экспериментально апробировать процесс становления профессиональной языковой личности будущего учителя с опорой на категорию лингвориторического идеала» [18]. |«Процесс формирования готовности самосовершенствованию будущего учителя на основе профессионально ориентированного ЛP идеала» [18]. |«Теория и практика формирования речемыслительной культуры студентов педагогического вуза» [18]. | Студенты историки и филологи|
|Н.А. [[Дацун]] | А.А. Ворожбитовой |«Разработать и апробировать целостный педагогический процесс билингвальной подготовки будущего юриста на лингвориторической концептуальной основе в ходе изучения английского языка» [19]. |«Процесс билингвальной подготовки будущего юриста в качестве профессиональной языковой личности на лингвориторической основе» [19]. |«Теория и практика языковой подготовки на юридических факультетах вузов» [19]. | Студенты юристы |
|С.Ю. [[Годунова]] | Ю.Н. Караулова |«Педагогические условия развития языковой личности студентов технического вуза» [20]. |«Педагогические условия развития языковой личности студента технического вуза» [20]. |«Процесс формирования языковой личности студента технического вуза» [20]. | Студенты технических вузов |
|С.Д. [[Пивкин]] | Ю.Н. Караулова |«Научное обоснование и экспериментальная апробация теоретико-методологических и дидактических основ самореализации языковой личности переводчика в системе дополнительного профессионального образования» [21]. |«Самореализация языковой личности переводчика в системе дополнительного профессионального образования технического вуза» [21]. |«Процесс профессиональной подготовки переводчика в системе дополнительного образования» [21]. | Специалист технического или экономического профиля |
Всё перечисленное даёт основание сделать следующий вывод. Первые три диссертации рассматривают вопросы развития языковой личности студентов, в диссертации С.Д. Пивкина исследуемый контингент - профессионалы @@color:green; повышающие свой уровень@@ в системе дополнительного профессионального образования
Следует отметить, что только одна диссертация А.В. Юрьевой ориентирована на профессионалов филологов, три остальные рассматривают вопросы формирования языковой личности юристов (Н.А. Дацун ) и специалистов технических специальностей (С.Ю. Годунова, С.Д. Пивкин).
Анализ диссертационных работ по специальности 13.00.08 "Теория и методика профессионального образования" показал что за искомый период было защищено четыре диссертации защита которых проходила в 2002-2012 годах. Это кандидатские диссертации А.В. [[Юрьевой|Юрьева]] [[[18]|yuav_ar 1]], Н.А. [[Дацун]] [[[19|dna_ar 1]]], С.Ю. [[Годуновой|Годунова]] [[[20]|gsyu_ar 1]] и докторская диссертация С.Д. [[Пивкин]]а [[[21]|psd_ar 1]].
Результаты представлены в таблице № 3
<p align="right"> Таблица №3 </p>
| Автор | Модель ЯЛ | Цель исследования | Конингент обучающихся |
|А.В. [[Юрьева]] | А.А. Ворожбитовой |«Теоретически обосновать, спроектировать и экспериментально апробировать процесс становления профессиональной языковой личности будущего учителя с опорой на категорию лингвориторического идеала» [17, с. 4 ]. | Студенты историки и филологи |
|Н.А. [[Дацун]] | А.А. Ворожбитовой |«Разработать и апробировать целостный педагогический процесс билингвальной подготовки будущего юриста на лингвориторической концептуальной основе в ходе изучения английского языка» [18, с. 5]. | Студенты юристы |
|С.Ю. [[Годунова]] | Ю.Н. Караулова |«Педагогические условия развития языковой личности студентов технического вуза» [19, c, 5]. |Студенты технических вузов |
|С.Д. [[Пивкин]] | Ю.Н. Караулова |«Научное обоснование и экспериментальная апробация теоретико-методологических и дидактических основ самореализации языковой личности переводчика в системе дополнительного профессионального образования» [20, c. 4]. | Специалист технического или экономического профиля |
Данная группа работ представляет особый интерес, поскольку в ней представлены диссертации в области профессионального образования.
Общим для рассматриваемых работ является контингент обучающихся: это либо студенты вузов, либо обучающиеся в системе дополнительного профессионального образования.
Всё перечисленное даёт основание сделать следующий вывод. Первые три диссертации рассматривают вопросы развития языковой личности студентов, в диссертации С.Д. Пивкина исследуемый контингент - профессионалы @@color:green; повышающие свой уровень@@ в системе дополнительного профессионального образования
Следует отметить, что только одна диссертация А.В. Юрьевой ориентирована на профессионалов филологов, три остальные рассматривают вопросы формирования языковой личности юристов (Н.А. Дацун ) и специалистов технических специальностей (С.Ю. Годунова, С.Д. Пивкин).
<center>''Анализ диссертаций по научной специальности "Теория и методика профессионального образования"'' </center>
Анализ диссертационных работ по специальности 13.00.08 "Теория и методика профессионального образования" показал что за искомый период было защищено четыре диссертации защита которых проходила в 2002-2012 годах. Это кандидатские диссертации А.В. [[Юрьевой|Юрьева]] [[[18]|yuav_ar 1]], Н.А. [[Дацун]] [[[19|dna_ar 1]]], С.Ю. [[Годуновой|Годунова]] [[[20]|gsyu_ar 1]] и докторская диссертация С.Д. [[Пивкин]]а [[[21]|psd_ar 1]].
Результаты представлены в таблице № 3
<p align="right"> Таблица №3 </p>
| Автор | Модель ЯЛ | Цель исследования языковой личности | Конингент обучающихся |
|А.В. [[Юрьева]] | А.А. Ворожбитовой |« .... процесс становления профессиональной языковой личности будущего учителя ... » [17, с. 4 ]. | Студенты - педагоги |
|Н.А. [[Дацун]] | А.А. Ворожбитовой | подготовка « ... будущего юриста в качестве профессиональной языковой личности ... » [18, с. 5]. | Студенты - юристы |
|С.Ю. [[Годунова]] | Ю.Н. Караулова | развитие « ... языковой личности студентов технического вуза» [19, c, 5]. | Студенты технических вузов |
|С.Д. [[Пивкин]] | Ю.Н. Караулова | самореализация « .... языковой личности переводчика в системе дополнительного профессионального образования» [20, c. 4]. | Специалист технического или экономического профиля |
Данная группа работ представляет особый интерес, поскольку в ней представлены диссертации в области профессионального образования. Общим для рассматриваемых работ является то, что они рассматриваю становление профессиональной языковой личности.
В двух диссертациях основе структуры языковой личности используется модель языковой личности А.А. Ворожбитовой, в двух - модель Ю.Н. Караулова.
Первые три диссертации рассматривают вопросы развития языковой личности студентов, в диссертации С.Д. Пивкина исследуемый контингент - профессионалы @@color:green; повышающие свой уровень@@ в системе дополнительного профессионального образования
Следует отметить, что только одна диссертация А.В. Юрьевой ориентирована на профессионалов педагогов ( в том числе и филологов) , три остальные рассматривают вопросы формирования языковой личности юристов (Н.А. Дацун ) и специалистов технических специальностей (С.Ю. Годунова, С.Д. Пивкин).
Сделал три окна с возможностью изменения регистров начал вести дневник
начал вести дневник дел за день
!!Диссертации
* [ext[ссылка в библиотеку a_kugurakova_vv|file:///D:/BI/a_kugurakova_vv.pdf]]
* [ext[ссылка в библиотеку a_kaftanov_ra|file:///D:/BI/a_kaftanov_ra.pdf]]
* [ext[ссылка в библиотеку dis_aleinikova_dv|file:///D:/BI/dis_aleinikova_dv.pdf]]
* [ext[ссылка в библиотеку dis_andreeva_nv|file:///D:/BI/dis_andreeva_nv.pdf]]
* [ext[ссылка в библиотеку dis_egoshkina_va|file:///D:/BI/dis_egoshkina_va.pdf]]
* [ext[ссылка в библиотеку dis_fedorishin_mi|file:///D:/BI/dis_fedorishin_mi.pdf]]
* [ext[ссылка в библиотеку dis_kazanceva_ea|file:///D:/BI/dis_kazanceva_ea.pdf]]
* [ext[ссылка в библиотеку dis_kolyaseva_af|file:///D:/BI/dis_kolyaseva_af.pdf]]
* [ext[ссылка в библиотеку dis_luzyanina_ms|file:///D:/BI/dis_luzyanina_ms.pdf]]
* [ext[ссылка в библиотеку dis_medovikova_ea|file:///D:/BI/dis_medovikova_ea.pdf]]
* [ext[ссылка в библиотеку dis_patieva_mm|file:///D:/BI/dis_patieva_mm.pdf]]
* [ext[ссылка в библиотеку dis_sakharova_av|file:///D:/BI/dis_sakharova_av.docx]]
* [ext[ссылка в библиотеку dis_titova_ma|file:///D:/BI/dis_titova_ma.pdf]]
* [ext[ссылка в библиотеку dis_tlenkopachevoy_mn|file:///D:/BI/dis_tlenkopachevoy_mn.pdf]]
* [ext[ссылка в библиотеку dis_van_s|file:///D:/BI/dis_van_s.pdf]]
* [ext[ссылка в библиотеку|file:///D:/BI/.pdf]]
!! Книги
*[ext[ссылка в библиотеку 5-484-00368-7.djvu|file:///D:/BI/5-484-00368-7.djvu]]
iVBORw0KGgoAAAANSUhEUgAABCsAAAF4CAYAAAB96XOvAAAgAElEQVR4Aey96ZsV1fnvff6N8+KcN8/1nPPm+f2SKKLiEDU4Jg4hiSbBqESjdhzRGA1RRBsZhAZUpAWkbQc0oIhAMwkKoqIoomILyNDMQ8sMDQ30sJ7rW3qXq4u9ew+9d3fV3p91XUXVrrXWve71qWLvWt++16r/4UgQgAAEIAABCEAAAhCAAAQgAAEIQCBGBP5HjHzBFQhAAAIQgAAEIAABCEAAAhCAAAQg4BAruAkgAAEIQAACEIAABCAAAQhAAAIQiBUBxIpYXQ6cgQAEIAABCEAAAhCAAAQgAAEIQOB/rN+4xbHBgHuAe4B7gHuAe4B7gHuAe4B7gHuAe4B7gHuAeyAu9wCRFQhWEIAABCAAAQhAAAIQgAAEIAABCMSKAGJFrC4HzkAAAhCAAAQgAAEIQAACEIAABCCAWME9AAEIQAACEIAABCAAAQhAAAIQgECsCCBWxOpy4AwEIAABCEAAAhCAAAQgAAEIQAACiBXcAxCAAAQgAAEIQAACEIAABCAAAQjEigBiRawuB85AAAIQgAAEIAABCEAAAhCAAAQggFjBPQABCEAAAhCAAAQgAAEIQAACEIBArAggVsTqcuAMBCAAAQhAAAIQgAAEIAABCEAAAogV3AMQgAAEIAABCEAAAhCAAAQgAAEIxIoAYkWsLgfOQAACEIAABCAAAQhAAAIQgAAEIIBYwT0AAQhAAAIQgAAEIAABCEAAAhCAQKwIIFbE6nLgDAQgAAEIQAACEIAABCAAAQhAAAKIFdwDEIAABCAAAQhAAAIQgAAEIAABCMSKAGJFrC4HzkAAAhCAAAQgAAEIQAACEIAABCCAWME9AAEIQAACEIAABCAAAQhAAAIQgECsCCBWxOpy4AwEIAABCEAAAhCAAAQgAAEIQAACiBXcAxCAAAQgAAEIQAACEIAABCAAAQjEigBiRawuB85AAAIQgAAEIAABCEAAAhCAAAQggFjBPQABCEAAAhCAAAQgAAEIQAACEIBArAggVsTqcuAMBCAAAQhAAAIQgAAEIAABCEAAAogV3AMQgAAEIAABCEAAAhCAAAQgAAEIxIoAYkWsLgfOQAACEIAABCAAAQhAAAIQgAAEIIBYwT0AAQhAAAIQgAAEIAABCEAAAhCAQKwIIFbE6nLgDAQgAAEIQAACEIAABCAAAQhAAAKIFdwDEIAABCAAAQhAAAIQgAAEIAABCMSKAGJFrC4HzkAAAhCAAAQgAAEIQAACEIAABCCAWME9AAEIQAACEIAABCAAAQhAAAIQgECsCCBWxOpy4AwEIAABCEAAAhCAAAQgAAEIQAACeYkVDQ0NbtCgQW7AgAGuoqLC1dbWdkqyqanJVVVVBeVVR8c65yfZkC3ly7ba8NOSJUvcwIEDg3zt9dlPmfJlX7b9rbKyMjSxYsWKDnlWLizgXNDPdD6qfeVpi/rm2+AYAhCAAAQgAAEIQAACEIAABCAAgc4J5CxWSGTQgFyCggb4JgLU1dWlbUmigA3iNZCXECDBwtL06dODc9rLpsQIlbdUX18f1tGx7MmGCRqZ8mVHdWRXbdjmiwq+D5avvSU/P5WP8lfn5ZN8Eydt4hQVZswmewhAAAIQgAAEIAABCEAAAhCAAAROJ5CzWGFigwbmliQCaFCeKjU2NgaDdz/6orq6OhzQq060frSNaPmozUz5akNihbZ0ycSIdPmZfJRAYUnHElDUZ7/fls8eAhCAAAQgAAEIQAACEIAABCAAgfQEchYrbFAvwcCSRTrYZ39vUQ+pohiUp6TBvQQHS1bHIhssKsLyrY6JD5nyrbwEB0VAqL3oVBTZUJ7KKD86FSWTj9HICou+IKrCv2ocQwACEIAABCAAAQhAAAIQgAAEMhPIW6zwTWugr8F8qmTCgwkTKmOCh51TXRMmlG917Jzsa/OT6ti5TPmqJ/FB5SQi2NQVfyqKzkmokKiiKS0SH7RZyuSj6lkdHas9P/rE7ET3NTU1Lt3W2trq2GDAPcA9wD3APcA9wD3APcA9wD1QuHugvb09+kjOZwhAIIYEykasiLKXUJFOYFFZCRbKz1ZQ8e1LZJF9E0Ukgtj6Gn45HacTKnTe1r1g/8P6H3CAA/cA9wD3APcA9wD3APcA90BX74FTp05FH8n5DAEIxJBA3mJF0qaBRNlbdIe+7FIli+6w6AgJF51NVTEbEiUUYWH1xUnCR7o1PaweewhAAAIQgAAEIAABCEAAAhCAAAR+IJCzWKEpDhq42yBeZhQ5YFMyomCji2Eq3xbEtLKq7w/mrQ2LarDyJiyYTZsmkilfvkZ99iMrZFf5/mKY0ciKTD5aX8RB/ptYofP+sZVjDwEIQAACEIAABCAAAQhAAAIQgEBqAjmLFRrYK3LA1mQwoUADdEsSAkxI0DkN4FVHZUwEUD1LFuWgvYQFlZU4YMkG+7KrY7UtccGiOzLlm8/mg7Xn+yAfZVN58jPqg9VJ56N8lR/yUcleYaq9+uz3x/rFHgIQgAAEIAABCEAAAhCAAAQgAIHTCeQsVsiEBuAmGGhQrwG8n3TOj7SQWGCRDBIEJBLonJ8U1aB6ylddteEnCQga8Ctfez+yQ+Uy5cueCRKpfJA/Jryk8yGTj76/Os5mzYpoHT5DAAIQgAAEIAABCEAAAhCAAATKnUBeYkW5Q6P/EIAABCAAAQhAAAIQgAAEIAABCBSPAGJF8dhiGQIQgAAEIAABCEAAAhCAAAQgAIE8CCBW5AGNKhCAAAQgAAEIQAACEIAABCAAAQgUjwBiRfHYYhkCEIAABCAAAQhAAAIQgAAEIACBPAggVuQBjSoQgAAEIAABCEAAAhCAAAQgAAEIFI8AYkXx2GIZAhCAAAQgAAEIQAACEIAABCAAgTwIIFbkAY0qEIAABCAAAQhAAAIQgAAEIAABCBSPAGJF8dhiGQIQgAAEIAABCEAAAhCAAAQgAIE8CCBW5AGNKhCAAAQgAAEIQAACEIAABCAAAQgUjwBiRfHYYhkCEIAABCAAAQhAAAIQgAAEIACBPAggVuQBjSoQgAAEIAABCEAAAhCAAAQgAAEIFI8AYkXx2GIZAhCAAAQgAAEIQAACEIAABCAAgTwIIFbkAY0qEIAABCAAAQhAAAIQgAAEIAABCBSPAGJF8dhiGQIQgAAEIAABCEAAAhCAAAQgAIE8CCBW5AGNKhCAAAQgAAEIQAACEIAABCAAAQgUjwBiRfHYYhkCEIAABCAAAQhAAAIQgAAEIACBPAggVuQBjSoQgAAEIAABCEAAAhCAAAQgAAEIFI9AXmJFQ0ODGzRokBswYICrqKhwtbW1nXrY1NTkqqqqgvKqo2Od85NsyJbyZVtt+GnJkiVu4MCBQb72+uynTPmyL9v+VllZGZroqo9qX/5ri/oWNsIBBCAAAQhAAAIQgAAEIAABCEAAAhkJ5CxWaFCvAbkEhRUrVgRChQSAurq6tI1JFLBBvAbyKi/BwtL06dODc9rLpsQIlbdUX18f1tGx7MmGCRqZ8mVHdWRXbdjmiwpd9VH+ynf5JN/ESZs4aU+CAAQgAAEIQAACEIAABCAAAQhAIDsCOYsVJjZoYG5JIoAG5alSY2NjMHj3oy+qq6vDAb3qROtH24iWj9rMlK82JEZoS5Wi9lQmajOTjxIoLOlYAor67Pfb8tlDAAIQgAAEIAABCEAAAhCAAAQgkJ5AzmKFRUFogG9JIoA/WLfz2lvUgx/FYDaUp6S6EgcsWR2VU5J9iQV+Uh0THzLlq57Ky4YiIHTsT0Wx9rriYzSywiJEiKrwrxrHEIAABCAAAQhAAAIQgAAEIACBzATyFit809mIFSZMqF4qscKECeWbeGDnZN+ECWs3KlZ0lq86ivxQGYkItn6FTUWx9rrio4QOCRbadGzTZMxf9hCAAAQgAAEIQAACEIAABCAAAQhkR6BsxIooDgkVEjyUCiFW+PYlssi+iSKK6LD1NfxyOq6pqUm7NTc3OzYYcA9wD3APcA9wD3APcA9wD3APFO4eaGlpiT6S8xkCEIghgbzFiqRNA4myt+gOTdMwsaIr00DMvkQJRVeYTXHS4qPp1vToTKw4efKkY4MB9wD3APcA9wD3APcA9wD3APdA4e6B1tZWe3RnDwEIxJhAzmKFBvSKSIgusBmdhmF97mzxSiuTbvFKm5YRXezSbNo0kUz58jXqsx9ZYfb8xTDNZrY+WjlxECMTK3TeP7Zy7CEAAQhAAAIQgAAEIAABCEAAAhBITSBnsUKRCIocsDUZbFDvRyVICDAhQc1qAG9rOSjKQMKB6lmyKAftJSyorL+gpg32ZVfHals2JDIoZco3n80Ha8/3oas+mh/yUcleYaq9+uz3JyjAPxCAAAQgAAEIQAACEIAABCAAAQikJJCzWCErGoCbYCABwBcmlK9zfqSFxAKLZDChQuf8pKgG1VO+6qoNP0kM0YBf+dr7kR0qlylf9mRX9VP5UAgffX91nM2aFdE6fIYABCAAAQhAAAIQgAAEIAABCJQ7gbzEinKHRv8hAAEIQAACEIAABCAAAQhAAAIQKB4BxIriscUyBCAAAQhAAAIQgAAEIAABCEAAAnkQQKzIAxpVIAABCEAAAhCAAAQgAAEIQAACECgeAcSK4rHFMgQgAAEIlACB1dtXu/fXLnGzv5zjpn7yhpu4dHKwX/Tte055ew7vKYFe0gUIQAACEIAABCAQLwKIFfG6HngDAQhAAAI9TGD9nvVu8gdT3N9eutOd9cS57r8fOyOr7Y/V/d3wupHurc9nuK+3rXbHTx7v4Z7QPAQgAAEIQAACEEguAcSK5F47PIcABCAAgQIRaG9vd0vXLXN/nfK3rISJbASMnw0+0/WfeLObtPRFt273dwXyFDMQgAAEIAABCECgPAggVpTHdaaXEIAABCCQhoCmd1w97roOIkWvJ85xt7x4q6taMNYt+nZxMN1j897Nbn/T/sCKoia+P7LXNezdHORpSkjVgnFuwJTb3DmV53ewZcLGRSP6uoemPeLe/HyG27p/WxpvOA0BCEAAAhCAAAQgIAKIFdwHEIAABCBQlgQ2NG50f5l0Swdh4dJRV7r/rJjWZR47D+5yS9YuDQSMmyYP6NCGiRfnDr3APTlrqPt4w/Iut4cBCEAAAhCAAAQgUGoEECtK7YrSHwhAAAIQ6JTA4eOH3VNzRnQQEK4e99tgAc1OK3Yx870177t/vfVoysiL85660D329hCnMqx10UXQVIcABCAAAQhAoCQIIFaUxGWkExCAAAQgkA2BD9d/5C4a8atQqFB0w2vLp2ZTtaBlFn7zrhsx92nX9+nLQ18s4kL72166w732yevuwLGDBW0XYxCAAAQgAAEIQCApBBArknKl8BMCEIAABPImcKLlRCAO+IKApmAcOn4ob5uFqrh6+zdu7MJn3FVjrkkpXOitJPO+nl+o5rADAQhAAAIQgAAEEkEAsSIRlwknIQABCEAgXwJrdq11vx77kxBwZdVvgleL5muvmPU2fd/gpix7yd046ebThItfDr/ETVw6mWkixbwA2IYABCAAAQhAIDYEECticylwBAIQgAAECk1AA38/mkJrRhw7eazQzRTF3o4DO9wLSyadFnGhaSzTP3urKG1iFAIQgAAEIAABCMSFAGJFXK4EfkAAAhCAQMEIHGk+6jR9woSK8576pVu85v2C2e9uQ0vXLQtepWr90V6vW9UbR0gQgAAEIAABCECgFAkgVpTiVaVPEIAABMqYwOa9mztEI2ixyr1H95YEkY82LHe/G39DKMJItOg/8SZXv+PbkugfnYAABCAAAQhAAAJGALHCSLCHAAQgAIHEE1AEwtlP9gkH89XvT0x8n6IdaGtvc++smuX6jroi7KdEi+cWP+/a29ujxfkMAQhAAAIQgAAEEkkAsSKRlw2nIQABCEDAJ6BB+vjFE8LBu15JqiiEUk56w8mLy2qc+mrTQ+58+S539MTRUu42fYMABCAAAQhAoEwIIFaUyYWmmxCAAARKlcDxk8edBuk2YL963G/dtv3bS7W7p/Vrz+E97obq/mH/9QpUTYUhQQACEIAABCAAgSQTyEusaGhocIMGDXIDBgxwFRUVrra2tlMGTU1NrqqqKiivOjrWOT/JhmwpX7bVhp+WLFniBg4cGORrr89+ypRvZdWu2bFz2q9YsSL0Tz7Y5pfpzEe1L/+1RX3zbXAMAQhAAAKFI7Dj4E53zTP9woH6Pa/dX7av9hw6Z3jIofeTfRK9oGjh7hAsQQACEIAABCCQVAI5ixUa7GtALkFBA3wN4DWwr6urS8ugsrIyHMRrIK/yEiwsTZ8+PTinvWxKTFAblurr68M6OpY92TBBI1O+2dHe/FV9P/k+6Ng2K+Pnp/JR/uq8fJJtcdImTtqTIAABCECgsAQ+37zS6S0fFlFRiutT5Eps9pd17swhZ4dMnnn3Oac1LkgQgAAEIAABCEAgaQRyFitMbNDA3JLEBQ3KU6XGxsZg8C6RwFJ1dXU4oNe5aP1oG9HyUZuZ8q1d+SwhQb6mEyusbHSfyUffno4loKjPfr+jNvkMAQhAAAL5EZj22ZvhgPysJ851S9d9kJ+hEqy1dtc6d9noq0I+D017pAR7SZcgAAEIQAACECh1AjmLFRZhIMHAkkU62Gd/b1EP/tQIs6E8JQ3uJThYsjoqpyT7Egv8pDo6n02+ylhEiMQDa9+3J1uKjlA7si1BwyI3VC6Tj9HICou+IKrCp8wxBCAAga4TGPJOZTgQv3TUlW7Dng1dN1piFo40H3F31P495PTP6QgWJXaJ6Q4EIAABCECg5AnkLVb4ZLIRK0yYUD0TC+ychAATJpSfSqwwYcLajYoVneWrjqadSIiQeGDtmy3tJWIoX6KKprRIfNBmKZOPqmd1dCyxw48+MTu57FtbWx0bDLgHuAe4B364B3Yc2Omun/DncAD+l0m3uH1H9vE92clvxd2v3hfyevA//4RVJ6z4f8Z3LfdA+dwDvOY5lxEJZSHQcwTKQqyw6R8WKZFKrIheAgkWEiiyFVT8+rIvcUQCiGxIBLG2/XI6rqmpSbtJWGGDAfcA9wD3QJNbUr/U9Rl6YTjw/vvL97hDhw/xHZnhd+LQkUPu9po7Q24PT/thHSXuKb5XuAe4B8r5Hjh16lT0kZzPEIBADAnkLVYkaRqITe2QcBDdTIyIXhuL7rDoCNXrbKqK1ZcooQgLqy9OEj7Srelh9dhDAAIQgEBqAs8tfj4cbGsxzdHzx6QuyNm0BAZMuS1kOHHp5LTlyIAABCAAAQhAAAJxIZCzWKEpDhq42yBeHZEYEJ2GYR2MLoap87YgppVRfX8wb22YkGDlpQArmU2bOpIpXwKCbNlm5fXZVGX1yV8MMxpZkclH64s4yH/Zlk0l/9jKsYcABCAAgc4J7G864PxB9tlP9nHv1i/qvBK5KQk0nWhy/Z77QyhYzF+9MGU5TkIAAhCAAAQgAIG4EMhZrNDgXpEDtiaDDfw1QLekKRAmJOicBvCqozImAqieJZuWob1EEJWVOGDJBvuyq2O1LSHAojsy5Zsd21t79ll7+SibypOfUR+sTjofZUN+yEclCSSyp7367PcnKMA/EIAABCCQlsCKhs/cRSP6hoPra5/p57bs25q2PBmZCew7ui98S8gZj/d2q7Z+mbkSJSAAAQhAAAIQgEAPEchZrJCfGoCbYKBBvQbwftI5P9JCAocG8Rq8a5NQYVESVk9RDaqnfNVVG36SgKABv/K19yM7VC5Tvm/LhAf/nPwx4SWdD5l89O3pOJs1K6J1+AwBCECgnAm0tLW4MQvHhSKFpn08/OYg13yquZyxFKzv2/ZvdxcMuzjge95Tv3Q7DuwomG0MQQACEIAABCAAgUISyEusKKQD2IIABCAAAQiIgAbSN1T3D4UKTfuYsXImcApM4Jsd9e7MIWcHnK8ed507euJogVvAHAQgAAEIQAACEOg6AcSKrjPEAgQgAAEIdJHArFWz3dmV54VCxe+fvyEQL7poluppCCz85t2Q9a01t7vWttY0JTkNAQhAAAIQgAAEeoYAYkXPcKdVCEAAAhBwzh1pPuIGvv5gOHDWtI+R80a7ltYW+BSZwLh3nw25D6sbUeTWMA8BCEAAAhCAAARyI4BYkRsvSkMAAhCAQIEIfLpphbt45KXhgPnC4Ze4jzcsL5B1zGQi0N7e7u557f6Q/8wvZmWqQj4EIAABCEAAAhDoNgKIFd2GmoYgAAEIQEAEjp9qdpWznwoHyYqmqHj5Lre/aT+AupmAFi697tnfBddCbwhZs3NNN3tAcxCAAAQgAAEIQCA1AcSK1Fw4CwEIQAACRSCgxR2vHHN1KFRonYoZK98uQkuYzJbA7kO73fnDLgquya+evswdOn4o26qUgwAEIAABCEAAAkUjgFhRNLQYhgAEIAABI6BXkj63+Hn388G9QqHiL5NucTsP7rIi7HuQwBdbVjlFVijK5ZYXb2XBzR68FjQNAQhAAAIQgMAPBBAruBMgAAEIQKCoBDY0bnR6u4cGwtrOGNLbTVn2kmtrbytquxjPjYDeyGLXaNT8qtwqUxoCEIAABCAAAQgUmABiRYGBYg4CEIAABH4iMPmDKeEAWAPhfs/9wW3Ys+GnAhzFioDeCmKCxYJvFsbKN5yBAAQgAAEIQKC8CCBWlNf1prcQgAAEuoXA5r2b3Q3V/cOBr6YYjF88gVeSdgv9/BtpbWt1N0/+a3Ddzhxytlu7a13+xqgJAQhAAAIQgAAEukAAsaIL8KgKAQhAAAKnE4hGU0i0IJridE5xPXP4+GF32eirAsFCC27ylpa4Xin8ggAEIAABCJQ2AcSK0r6+9A4CEIBAtxHYsm+r6z/x5jCaQtMJXlxW023t01DhCKzb/V14HbUQKgkCEIAABCAAAQh0NwHEiu4mTnsQgAAESpDAtBXT3dlP9ukwwJV4QUougXdWzQqv5xOzhia3I3gOAQhAAAIQgEAiCSBWJPKy4TQEIACBeBDYdWi3u63mjnBQ2/vJPu615VPj4RxedJnAk7OGhtd25hezumwPAxCAAAQgAAEIQCBbAogV2ZKiHAQgAAEIdCAQRFNUnhcOZv9Y3d9pYU1SaRHoP/Gm4BprkdSvt60urc7RGwhAAAIQgAAEYksAsSK2lwbHIAABCMSTwI6DOztEU2htiinLXoqns3jVZQKNR753WmhT1/nC4Ze4xsONXbaJAQhAAAIQgAAEIJCJAGJFJkLkQwACEIBAQKC9vd29/ul/OqxNoTd9EE1R+jfIml1rnV5lKsHi+gl/cidbTpZ+p+khBCAAAQhAAAI9SgCxokfx0zgEIACBZBDYfWi3u2nygHDKR68nznEvffiya2tvS0YH8LLLBOavXhhe/4emPdJlexiAAAQgAAEIQAACnRHIS6xoaGhwgwYNcgMGDHAVFRWutra2szZcU1OTq6qqCsqrjo51zk+yIVvKl2214aclS5a4gQMHBvna67OfMuVbWbVrduyc9l31Ue3Lf21R3/x2OIYABCCQNAIzVs5051SeHw5UtYbB1v3bktYN/C0AgTELx4X3wcSlkwtgERMQgAAEIAABCEAgNYGcxQoN6jUgl6CwYsWKQKiQwFBXV5e6BedcZWVlOIjXQN4EC6swffr04Jz2sikxQW1Yqq+vD+voWPZkwwSNTPlmR3uJIqqrzU9d9VH+ynf5JNvipE2ctCdBAAIQSBqBfUf3ub+9dGc4ONU0gNqPiKZI2nUspL+KpKl45e7wnlj07eJCmscWBCAAAQhAAAIQCAnkLFaY2KCBuSWJCxqUp0qNjY3B4N2Pvqiurg4H9KoTrR9tI1o+ajNTvvklnyUkyFdfrIjaU/mozUw++vZ0LAFFffb7bX6whwAEIBB3Agr5P3/YReGg9PfP38DaFHG/aN3k37GTx9zV464L7o0zhvR2X2xZ1U0t0wwEIAABCEAAAuVEIGexwqIgNMC3ZJEO9tnfW9SDPzXCbChPSYN7iQOWrI7KKcm+xAI/qY7OZ5OvMhYRIvHA2jd71l5XfIxGVliECFEVRpk9BCCQBAKHjh9yD7zxUChSaEHF59/76fs5CX3Ax+IT0BthTMzSFKG1u9YVv1FagAAEIAABCECgrAjkLVb4lLIRK0yYUD0TC+ychAcTJpRv4oGdk30TJqzdqFjRWb7qaJ0MCR4SD6x9s2XtmT86b2XsXCYfJXRIsNCmY5smY22k29fU1Lh028mTJx0bDLgHuAe66x74dMMKd9GIvqFQcdWYq9032+r5HuK7OOU9sGLjZ+4Xg88K7pdzKy9wX2/5OmW57rp/aYfvSu4B7oFs74HW1tZ0j+achwAEYkSgLMQKm/5ha1yYEGHXoRBihdnSXvYljiiKQyKHRBJr2y+n43RChc43NzezwYB7gHugW+6BUXOrQpFC0RTD54x0h44e6pa2+a5L7nf9jM/eDu+bc4de4FY1fMk9w3cW9wD3QOzvgZaWlugjOZ8hAIEYEshbrEjSNBCJBRINUm0SKkys6Mo0ELu2EiUUXWE2xUmLj6Zb08PqsYcABCDQEwS2H9ju+o2/PhxwXjzyUrdy8xc94QptJpRA3Vdz3c8GnxncQ32GXuhWb1+d0J7gNgQgAAEIQAACcSKQs1ihAb0G/dEFNqPTMKyTnS1eaWUkJviDeWtDA36l6GKXZlMRDNnkS0AwUUJ7s6djTQsxe/5imFYmaKCTRUDNRysnDvJf58VJyT+2cuwhAAEI9DSBtz6f4c5+sk8oVNzz2n3uSPORnnaL9hNIwBcsej/Zx32y8dME9gKXIQABCEAAAhCIE4GcxQpbqNLWZLBBvR+VoCkQJiSosxrA21oOijLQIF71LNm0DO0lgqisBAxLNtiXXR2rbdmQyKCUKd/s2N7as8/ad9VH2ZAf8lFJAol81F599vsTFOAfCEAAAj1EoPlUc4dFNDW4nP7ZWz3kDc2WCgFfsPj54F5On0kQgAAEIAABCB7C5KMAACAASURBVEAgXwI5ixVqSANwEwwkLPjChPJ1zo+0kMChQbwG7yZU6JyfFNWgespXXbXhJ4khNp1Dez+yQ+Uy5fu2UokVhfDRb0PH2axZEa3DZwhAAALFJLBl31Z37TP9wmgKTQHRORIECkHg/bVLXK8nzgnvrxeWTCqEWWxAAAIQgAAEIFCGBPISK8qQE12GAAQgkHgCS9Yu7TDt46k5I1xLK4uMJf7CxqwD9Tu+DV9rqsVaB88c4lrbWHk/ZpcJdyAAAQhAAAKxJ4BYEftLhIMQgAAEukZAA8Wn540O/9p9duV57oPvlnXNKLUh0AmBbfu3u6vGXBPec7e8eKs7eOxgJzXIggAEIAABCEAAAh0JIFZ05MEnCEAAAiVF4EjzUXdrze3hoPH3z9/gdhzcWVJ9pDPxJHDo+CH3x+r+4b3Xd9QV7tuda+LpLF5BAAIQgAAEIBA7AogVsbskOAQBCECgMAR2HtzlrvHWpxheN7IwhrECgSwJnGw56Qa99WgoWJwxpLeb/WVdlrUpBgEIQAACEIBAORNArCjnq0/fIQCBkiWgv2BfOPySYJCoNzPoNaUkCPQUgf+smObOeLx3KFoMeafSnWo91VPu0C4EIAABCEAAAgkggFiRgIuEixCAAARyIbDo2/fCNzJofYoVDZ/lUp2yECgKga+3rXaXjLwsFCw0JUlrW5AgAAEIQAACEIBAKgKIFamocA4CEIBAQglM/mBKOBjs+/TlbmPjpoT2BLdLkcD+pgOu/8Sbw3tUYtqsVbNLsav0CQIQgAAEIACBLhJArOgiQKpDAAIQiAMBvYL03zMeCweBN1T3d/uO7ouDa/gAgQ4EWtpa3LOLxrufDT4zvF//Me1hd+zksQ7l+AABCEAAAhCAQHkTQKwo7+tP7yEAgRIgoDd+3Dz5r+HA7+5X73MnWk6UQM/oQikT+GLLKnfpqCvD+/aKql/ztpBSvuD0DQIQgAAEIJAjAcSKHIFRHAIQgECcCOw6tNtdPe66cMBXtWCca29vj5OL+AKBtAQktCmq4r8fOyPYfvH4WU5Tmdra29LWIQMCEIAABCAAgfIggFhRHteZXkIAAiVIYPX21R3e+DH7yzkl2Eu6VA4E3lk1y2n9ChMtFCm0+9Ducug6fYQABCAAAQhAIA0BxIo0YDgNAQhAIM4E9MaPM4b88CrIPkMv5I0fcb5Y+JYVgR0HdzqttWKChe7r99a8n1VdCkEAAhCAAAQgUHoEECtK75rSIwhAoMQJ+G/8uGz0VW7Lvi0l3mO6Vy4EtPjmc4uf77D45qj5VUwLKZcbgH5CAAIQgAAEPAKIFR4MDiEAAQjEncDIeaPDvzz3n3iTO3DsYNxdxj8I5Ewguvjm31660x09cTRnO1SAAAQgAAEIQCC5BBArknvt8BwCECgzAr5QMfD1B92p1lNlRoDulhMBLb55z2v3h+LcVWOucZv3bi4nBPQVAhCAAAQgUNYEECvK+vLTeQhAICkEfKFi8MwhvPEjKRcOP7tM4LVPXg8Fi3Mqz3dL133QZZsYgAAEIAABCEAg/gQQK+J/jfAQAhAocwK+UPHIm/9GqCjz+6Ecu//1ttXul8MvCUWLCe+9wP+DcrwR6DMEIAABCJQVgbzEioaGBjdo0CA3YMAAV1FR4WprazuF1tTU5KqqqoLyqqNjnfOTbMiW8mVbbfhpyZIlbuDAgUG+9vrsp1zyU/m8YsWK0D/5YJvfRmc+qn3Z1Rb1zbfBMQQgAIFcCESFirb2tlyqUxYCJUPg+yN7O7wt5M6X72Idi5K5unQEAhCAAAQgcDqBnMUKiQwakEtQ0ABfA3gN7Ovq6k63/uOZysrKcBCvgbzKS7CwNH369OCc9rIpMUJtWKqvrw/r6Fj2ZMMEjUz5JkSoTZU1n9WeJd8HHduWKj+Vj/JX5+WTfBMnbeIUFWbMJnsIQAACnRFAqOiMDnnlSEDrtAx669EwwoJ1LMrxLqDPEIAABCBQLgRyFitMbNDA3JLEBQ3KU6XGxsZg8C6BwFJ1dXU4oNe5aP1oG9HyUZuZ8iWkSODwRQMJCjpnycQK+xzdZ/JR9izp2EQRv9+Wzx4CEIBAJgIIFZkIkV/OBN76fIY7Y0jvQLTQOhafb15ZzjjoOwQgAAEIQKAkCeQsVtigXoKBJYt0sM/+3qIe/KkRZkN5ShrcS3CwZHVUTkn2JRb4yRcbMuX79XQcta9zsqHoCLUj29GpKJl8jEZWWPSFL5BE/eAzBCAAgVQEfKHigTceckz9SEWJc+VOwF/H4ozHe7uF37xb7kjoPwQgAAEIQKCkCOQtVvgUshErTJhQvVRihQkTyo+KCbKvzU9RsaKzfKtn7aquPw1F+YqAkFAhUUWRGBIftFlSnc58VD2ro2ObJmP12UMAAhDIhkBUqGhta82mGmUgUJYE9hze464e99twWkjtR6+UJQc6DQEIQAACEChFAmUlVigaREKIhAqJD360R/TiSrBQGRNZMokVfn2JGmrD1saQCGLra/jldFxTU5N2U1QGGwy4B8rnHhg6a3g46Lr31YHu8JHDfAfwPcg9kOEe2L1vj/vzC38J/+8MeftJd/ToUbhl4MZvS/n8tnCtT7/Wp06dij6S8xkCEIghgbzFiiRPA9F1UORDNBrDvz4W3WFrc0is6GyqitWVKKEIC6svThI+0q3p0ZlY0dra6thgwD1QHvfA8Lqnw8HW3a/e506eOsn/f74DuQeyvAeOnzju7nnt/vD/kI51ju/P8vj+5DpznXO9B9rb2+3RnT0EIBBjAjmLFYpG0MDdBvHqmyIH0g38NVhXeX+hSVsQ07iovj+YtzYsqsHKSxlWMps2LSNTvtqO+qf2rE3ZjfoYjazI5KP1Re3IfxMrdN4/tnLsIQABCBgBf+qHBlktbS2WxR4CEMiSgAYfg2cOCQWLGyfd7I40H82yNsUgAAEIQAACEIgbgZzFCg3sFTmggb4ECxMK/CkVmgJhQoI6rAG86qiMiQCqZ0llJRZoL5sqK3HAkg32ZVfHalvlLbojU76JH1bffI76aD6ofNSHTD7KV/mhNpTsFabaq89+f6xf7CEAAQiMml8VDq7unfrT9x5kIACB/AhM/mBK+H+q3/jr3aHjh/IzRC0IQAACEIAABHqUQM5ihbzVANwEAw3q/UG/8nXOj2SQwKFBvMQAbRILLErCeq/oB9VTvuqqDT9JQNCAX/na+5EdKpcp3wQD1U/ls/wxESOdD5l89P3Vscqbv9H+RMvyGQIQKD8CtR+9HA6qKl6+i4iK8rsF6HGRCOjVpv/92BnBJsFif9OBIrWEWQhAAAIQgAAEikUgL7GiWM5gFwIQgEC5EJjz1dxwMHXz5L+6U60s9lUu155+dg+B2V/OCf+PXfNMPwSL7sFOKxCAAAQgAIGCEUCsKBhKDEEAAhDIjsDKzV+4nw/u9cNffZ/7g2s68cN6PNnVphQEIJAtgXmrFyBYZAuLchCAAAQgAIGYEUCsiNkFwR0IQKC0CTTs3ezOHXpBMIC6bPRVbt/RfaXdYXoHgR4mIMHCxEFFWOw9ureHPaJ5CEAAAhCAAASyIYBYkQ0lykAAAhAoAAEJE32fvjwQKs576pdu6/5tBbCKCQhAIBOBxWved794/Kzg/96vx16DYJEJGPkQgAAEIACBGBBArIjBRcAFCECg9AkcP3ncaaE/Lfp3xpDe7uttq0u/0/QQAjEi8MF3y0LB4upx17mDxw7GyDtcgQAEIAABCEAgSgCxIkqEzxCAAAQKTKC1rdXdXlsRCBUSK/RXXhIEIND9BCRYnPF47+D/4u+fv4H1Yrr/EtAiBCAAAQhAIGsCiBVZo6IgBCAAgfwIPPb2kFComPzBlPyMUAsCECgIgSVrl7qfDT4z+D/5l0m3uBMtJwpiFyMQgAAEIAABCBSWAGJFYXliDQIQgEAHAq8unxoKFRItSBCAQM8TmLFyZvj/8o7avztFP5EgAAEIQAACEIgXAcSKeF0PvIEABEqIwPKNn4R/wR0w5TYGRCV0belK8gkoyknTsrQ9PP1frr29PfmdogcQgAAEIACBEiKAWFFCF5OuQAAC8SHw3e717uwn+wQDod+MvdYdPXE0Ps7hCQQgEBB4as6IULConP0UVCAAAQhAAAIQiBEBxIoYXQxcgQAESoPAgWMH3cUjLw0GQRcOv8TtOLizNDpGLyBQggQefnNQKFiMXzyhBHtIlyAAAQhAAALJJIBYkczrhtcQgEBMCZxsOen+WN0/GPzorQPf7KiPqae4BQEIiEBLW4urePmuULCY+cUswEAAAhCAAAQgEAMCiBUxuAi4AAEIlA6BB974RzjomfPV3NLpGD2BQAkTOH6qORQZtYaF1pshQQACEIAABCDQswQQK3qWP61DAAIlRGDS0hdDoWLk3FEl1DO6AoHSJ6DpW31HXRH8H9Z6M5u+byj9TtNDCEAAAhCAQIwJIFbE+OLgGgQgkBwCS9ctC4WKW2tud23tbclxHk8hAIGAgASKc4deEPxflnCx9+heyEAAAhCAAAQg0EMEECt6CDzNQgACpUNAb/4464lzgwHOlVW/4c0fpXNp6UkZEvh880r388G9gv/P10/4k9M6NCQIQAACEIAABLqfAGJF9zOnRQhAoIQI6C+vfZ++PBjY9H6yj2vYu7mEekdXIFCeBLTIptau0PbQtEfKEwK9hgAEIAABCPQwAcSKHr4ANA8BCCSXQPOpZve78TcEA5qfDT6TRfmSeynxHAKnERg9f0woWEz+YMpp+ZyAAAQgAAEIQKC4BPISKxoaGtygQYPcgAEDXEVFhautre3Uy6amJldVVRWUVx0d65yfZEO2lC/basNPS5YscQMHDgzytddnP+WSn8rnrvqo9mVXW9Q330+OIQCB0iDQ3t7u7n71vnAwM/WTN0qjY/QCAhAICGjdmdteuiP8P/7h+o8gAwEIQAACEIBANxLIWazQoF4DcgkKK1asCIQKCQx1dXVp3a6srAwH8RrIm2BhFaZPnx6c0142JUaoDUv19fVhHR3LnmyYoJEpXzatTZWVMKLPas9SV32Uv2pHPsm2OGkTJ+1JEIBAaREYs3BcOIh57O0hpdU5egMBCAQEjjQfdVeOuTr4v3525Xluw54NkIEABCAAAQhAoJsI5CxWmNiggbkliQsalKdKjY2NweDdj76orq4OB/SqE60fbSNaPmozU76EFIkRvmggQUHnlKL2dC5qM5OPsmdJxyaK+P22fPYQgECyCcz9el4oVAyYcptrbWtNdofwHgIQSEtg897Nrs/QC4P/85eOutIdOn4obVkyIAABCEAAAhAoHIGcxQqLgtAA35JFOthnf29RD/7UCLOhPCUN7iUOWLI6Fvkg+xIL/OSLDZny/Xo6jtq3z13xMRpZYREivkAS9YPPEIBA8gh8te1rd8bjvYOBy7XP9OPNH8m7hHgMgZwJfLpphdO6NFpw85YXb0WgzJkgFSAAAQhAAAK5E8hbrPCbykasMGFC9VKJFSZMKN/EAzsn+9r8FBUrOsu3etau6mrdDEvWXld8lNAhwUKbjm2ajLWRbl9TU+PSbSdPnnRsMOAeiM890ND4019YLxx+idu+bzv/R0vse2rjnia37LtDHbbqpXvcyAW7Ttumfvp9h3LRevq893Az90iJ3COTl04JI6qG1z3NdS2R68pvbHx+Y7vzWrS2EhGZbmzCeQjEiUBZiRWKBpEgYYt9WiRFIcQK/6JKFFEbtjaGokJsfQ2/nI7TCRU639zczAYD7oGY3APfH/zeXfXj3PUzh5ztVjV8ybWJybXJ5bty6doDbtaqvW7E/J1u0Nvb3HUTNgTb//znatfd2yVV68L2zY9c9zfVbAr6ov74m/qovmrbc6CJe7VA9+q9r94fChbvrJwF1wJxzeX/MGV5NizEPdDS0hJ9JOczBCAQQwJ5ixVJngai66DIB4vGMLHCxAvlWxSGRVtkmqpi11aihKIrzKY4ac2MdGt6WD32EIBAfAm0tLa4/hNvDgcpi75dHF9ny9yzQ8db3fJNTW7aygNu9KJGN+DlLa7fC5u6XYjobuEjm/b6jl0fsBg8e1fAZn794YBVmd8yOXX/+Klm12/89cF3gUTL9XvW51SfwhCAAAQgAAEIZE8gZ7FCA3oN3KMLbNrAP9q0Busq7y80aYtXWtl0i1eaUGDlbf0Hs2nTRDLlq+2ofxIPTEAwe13x0fqidsTIxAqd94+tHHsIQCA5BB6a9kgoVExa+mJyHC8xT7/Z2RwMriVGaKAtMUIDb4kRGohnM2D3y/xq7Hr32+pN7rFZO92od/e4/3x+wH28sSnY1FauSUKJ1Y/u59UfDtpQO9lu8kv+Zbv9n8H1OTMwHuJ337TtAVPxVV9IqQnsOrTbnT/souA74bLRV7HgZmpMnIUABCAAAQh0mUDOYoUEA0UOaKAvwcKEAj8qQVMgTEiQhxrA21oOijKIRilYFIP2sqmy/oKaNtiXXR2rbdmQyKCUKd8EFqtvPhfSR/NDbSjZK0y1V5/9/gQF+AcCEEgEgWF1I0Kh4uE3U7/1KBEdyeCkBqj+ZmKABAF/kzCQbvu/GQbLZw1fm7au8mzgXKi9Bu8a6N87bXsHMaJcBuLbDpwKxBMTSkz8kEiTDWNdE0Wm6PojYHT8D7Ry8xcdFtxsa2/rWIBPEIAABCAAAQh0mUDOYoVa1ADcBAMJC/6gX/k650cySODQIF4CgwkVFiVhPVBUg+opX3XVhp8kOGjAr3zt/cgOlcuUb4KB6qfyuRA++v7qWH0yf6P9iZblMwQgED8CLyyZFAoVt9bcXhQHNaD0RQIdT/pwbweBwBcLoscWWZBOQIiezycCIZuBbU+VsagDi47QwFxRDaTMBCwSRPebBB2xzHQdLQJD02x075Zzqv3olfD74el5o8sZBX2HAAQgAAEIFIVAXmJFUTzBKAQgAIEYEZj22ZvhQOQ3Y691h48fzsk7m7JgaydIZDDhoBhRBJkGmV3JtwgFEwZsf0vtlqynNGQ79SFVORMgbGpFPlM0crp4ZV5YfDUlxiIxOrt3dC9r+ki5ihcDX38w/J5Y9O17ZX7n0H0IQAACEIBAYQkgVhSWJ9YgAIESIDDnq7nhAERz07fu33ZarywawiIdTIjINBWis4FfZ3m9hq3Neu0CExNs35moYAKAvz+ts5woewImYCgCQ/diuntVkReK9tE0onKYbqMFN699pl/wfdH7yT6uYe/msr9XAAABCEAAAhAoFAHEikKRxA4EIFASBJauW+Z+PrhXMPjo9cR5btDMT4IpGSZGpBukZTpvwoGtn6AIgmjEQEkApBNlQUBTQBR9kUm80P8bCXqlHA0jMfPsyvOC74yrxlzjjp08Vhb3AJ2EAAQgAAEIFJsAYkWxCWMfAhCIDQENmKIREQphNyHifz8y3f3XY2cFg47/euxs978enpH2L8i+OGFRDyZE2FslSnmAFpuLiiOxIOCLF+neSqKoo1KdMrJ03QfB98Z/P3aGu+vVe2NxTXACAhCAAAQgkHQCiBVJv4L4DwEIBH+1lQjhv8FCbzGQCJHtgpL/65FZ7r8eO+dHoaKX+9+PvB4KFelecVnuCwxy60EgHQEJdVq4UxFFvrDnH/tTRtLZSdL5qgVjQ8Fi8gdTkuR6QX3dfmC7+2rb1057EgQgAAEIQKArBBArukKPuhCAQLcQiEZDWCSEP/DJ59giIq56dok7c8j5Pw40znTj35/LGyW65crSSLkQ0JQnLdjZ2WtT9f9aAkeSI5JuefHWULD4ZOOnZXF5F3yz0N1eW+EuHXVl2HdFmNh20Yi+rv/Em9wz7z7n1u5aVxZM6CQEIAABCBSGAGJFYThiBQIQ6AIBLcQnQcLenGFREfkuVmmREP7CkjY1I/paS/3176IRvwofrN9ZNasLPaEqBCCQiYBNGdH/z1KbMrLv6D6nwbkG6lqcd9eh3ZlwJDK/pbXFzVg501097rfhd6eJE5n2/Z77g9NrX/c37U9k33EaAhCAAAS6jwBiRfexpiUIlDWBdIJErhERJkTor7RapNJEiHz+Gtt45PsOfw18bfnUsr5GdB4CPUFA/3f1f7mzKSNJekXqF1tWhQP4Gyb8uSeQFrVNCTC/f/6GsI8SJ26o7h8IEB+u/8ht2bfFnWg54bbt3+4UXTL9s7fc0DnD3blDL+hQR/UGzxzidhzYUVR/MQ4BCEAAAsklgFiR3GuH5xCIHQH9xTRVhEQugoT+0qpBS3SxykK/BvHgsYPu6nHXhQ/P4959NnY8cQgC5UZA/8+zmTIi8UIRWHGdNqLIAYsweHzmEyVzGT9a/7HrM/TCsG+31tzuPt20Iuv+acrIbS/dEdY3Ro+8+W/WuMiaIgUhAAEIlA8BxIryudb0FAIFIWCChAYJeiVhLotYmmgRFSTsFZ4FcTALI00nmjr8ZfDRtx/PohZFIACB7iYg8SKbV6RqypiJFxJM45Duf/3BcFCuKRNJT3O+mhv2R1ESi75dnHeXFHXxxKyhoT0TLUbNr3JHTxzN2y4VIQABCECgtAggVpTW9aQ3ECgYgWiERLZv1YiLIJEOxKnWU+4vk24JH5IfeOMfrq29LV1xzkMAAjEikG3khb6HJKRKUO0p8eLYyWMd1nRYs3NNjEjm5sp/VkwLvzM1BWR3gdbi0JSSIe88GdqWaHHeUxe6lz9+1TWfas7NSUpDAAIQgEDJEUCsKLlLSocgkBsBzRe3hS31cK/wahMcMu3tbRq2foQWr8xn7YjcPM6/dGtbq7v71fvCB+M7av/uWtpa8jdITQhAoEcJmHiRac2LnhIvNn3f4M564tzgO+fy0Ve5I81HepRXPo1PWzE9/M78w/N/dIePH87HTKd1tG6F1q+wCAvtLxh2sZux8u1O65EJAQhAAAKlTQCxorSvL72DQAcCEhI0fWPw7F3BXx0ziRHKtykbSREkOnTY+yBRwg/LVnSFFoEjQQACpUVAomkm8cKfNqKpbcVM81YvCAfhf3vpzmI2VXDbc7+eF/p+/YQ/FUWo8J3eun+b07Q8X7SQQNKVKSe+fY4hAAEIQCBZBBArknW98BYCORFQ+LOtK5HpNaAWJeG/YUN/tSyFpNfs3fXqveEDsMKYtW4FCQIQKH0C2YgXiiiTiFusyDCtxWAD8KoF4xIB/YPvloU+6xWlh44f6ja/dx7c5f7+yj1h+2L3u/E3uHfrF3WbDzQEAQhAAAI9TwCxouevAR5AoGAEfHGis6gJvf7zltotwV8f9SBfKqJEKpAnW06622srwodePfAmMRQ7Vd84BwEI5E7AxAt9D6b6njThotARF/5bMBSxEOe0auuX4fSVS0ZeVrA1KnLts159OmDKbeH3t0SLfuOvR7TIFSTlIQABCCSUAGJFQi8cbkNABGxah9aaSPXQbef0KlBFTJS6MBG9K7RA21+n/C180O0/8WZWmo9C4jMEypiAhFp724imvNl3pu21sLCmzhVC0FVkwpVjrg6/j9buWhdL8lv2bXHnVJ4f+HneU790DXs397ifX29b7SpevitkF4gWz/3Bvbfm/R73DQcgAAEIQKB4BBAriscWyxAoOAFFTujBWa/o62xahy9OFNyJhBjUSvz+Wz9uefFWVpdPyLXDTQj0FAG9RvneadtPEy0kXuh7V4sRdyVtaNwYRixowc3unFqRjd9aPPOqMdeEosCXW7/Kplq3lflmR32HKX0SLeTv1E/ecPrOJ0EAAhCAQGkRyEusaGhocIMGDXIDBgxwFRUVrra2tlMqTU1NrqqqKiivOjrWOT/JhmwpX7bVhp+WLFniBg4cGORrr89+ypS/YsWKsL757PugfLUd3fw2OvNR7cuutqhvvg2OIZAtAf0lL9tpHYgTHakePXHU/emFG8MH7opX7naaDkKCAAQgkA0Bi7jQd6tFWdheQvF907YHkWrZ2IqW0boLGmRru7Xm9mh2j36+cdLNoW91X83tUV86a1yihb7XjaP2igYZPX+M23t0b2dVyYMABCAAgQQRyFms0ABfA3IJChrgawCvAX5dXV3abldWVoaDeA3kVV6ChaXp06cH57Q3UUFtWKqvrw/r6Fj2ZMMEjWzzVU/2TThRe5Z8H3RsW6r8VD7KX52XT/JNnLSJky+KmD32EPAJmDChqAk9BCv02B6MU+0RJ3x6HY8lVGj1eHuIvXfqQF5P2hERnyAAgRwIaO0KfTdrEeLo97HWt9AixrlOExn37rPhd9TT80bn4E3xij785qDQp/GLJxSvoQJart/xrbszMj3kzCFnuydmDXV6HSoJAhCAAASSTSBnscLEBg3MLSnSQYPyVKmxsTEYvPvRF9XV1eGAXnWi9aNtRMtHbeaab21KvLBkYoV9ju4z+SiBwpKOJaCoz36/LZ99eRLQA68iJRRGrIdbhRRnWmtCD8b26lBbc6I86WXXa4Uw+0LFg//5p2trb8uuMqUgAAEIZCCgdYL0Gufo+haKtshVtLij9u+hODDzi1kZWi5u9uQPpoS+PPDGQ8VtrAjWtaaF/8YnE6sHvfWo0+tQSRCAAAQgkEwCOYsVNqiXYGDJIh3ss7+3qAd/aoTZUJ6SBvcSHCxZHZVTkn2JBX5SHRMbMuUr2sHaMhuKhPCjO2RD59SObEenomTyMRpZYdEXRFUY8dLfS4iwNSX00KoICYkR+stb9K9xnX3WCvWaM61F34r1Gr1SvBoHjh10v33u9+ED9+CZQ1x7e3spdpU+QQACMSCg9S1STRPRd382bxJRFNg1z/QLv7NWNHzWI71a9O3i0ActQpzktH7PeieR2sQK2z88/V9ucwwWCk0yW3yHAAQg0BME8hYrfGc10NdgPlUy4cEXC1KJFSZMyIbVsXOyr81PUbGis3y/no5t6orvk85JqJCooiktEh+0WVJ75o/ORX1UPaujY5smY/XZJ5+AhANbQ0JihISIbCIjUgkTFi0hUUIR8Yh+GAAAIABJREFUE3roRZjI/x7Zd3Sfu3rcb8MH1KGzh+VvjJoQgAAEciCg7+5Ui3Jms66FpipcMOzi4Lvr3KEXuE3fd1yvKwc38iqqaRRnPXFu0P4VVb92En1LISmaYsg7T4a/CSZaKGpk2/7tpdBF+gABCECgLAiUnVghIUHCQ6bpGRIsVM4EjUxihX+3SNRQ1IaJIhJBbH0Nv5yOa2pq0m7Nzc2OrfsZbNh91M1atdeNmL/T3VSzyV1StS6nyAibunHt8xvcTTUNbvi8HcG2ZM0Bp41rWthruu37be6Kqt+ED6Vj5o+DMd8d3APcA91+D+i3467Xt5w2ReS6CRs6/e5f1fCl0zoLGlD3HXWF231gT7f4vvX7re7C4ZcE7Uoo+W7n+m5ptzt/A/X78NiMx90vHj8r/I3Q8RMzK93OfTtLrr/dyTbpbbW0tEQfyfkMAQjEkEDeYkWSpoEYdxMq/CknlhfdW+SErc0hscKvZ/l+tIVsSJRQhIXli5OEj3RrenQmVrS2tjq24jLYsu+Em7v6oHt64e4gSqKz14H6ERJnPrXGXTdho/v3zO1B3ddX7HMfrj/iZI9rVtxr5vPdvn+Hu2zUleFD6CsfvwZ/vje4B7gHevQe2H/0ZPC7EF3XotewNe6Nz/al9K3uq3nh99j1E/7kDh87nLKc//3XleOm5qYO0+aWr/+kqO11xddC1N22b5t7dMbjIWMJQ4oomfDeC67pxLGS7nsh+JWiDaaJRkc+fIZAPAnkLFbYgN8G8eqWIgei0zCsu9HFMHXeFsS0MqrvD+atDYtqsPK2/oPZNKEgU77asbd0+IKDtS+70WiLaGRFJh/NljjIfxMrdN4/tnLsu5+A5hDPrz8cLIKm6RvZCBOaj6zF1LQS/Mcbm7Kah9z9PSvPFrcf2O76Pn15+PA5bcVPb/cpTyL0GgIQiBMBe/1p9C0iWsdICy1H08sfvxp+n/1l0i3uRMuJaJGCfJbdW168NWyrpxf3LEinsjSy5/AeN3LuKNf7yT5h/y8eeamL82tas+waxSAAAQiUJIGcxQoN7BU5YGsymFCgAbolTYEwIUHnNIBXHZUxEcAXDVTWpllIBFFZiQOWbLAvuzpW2ypv0R2Z8i3aQfVU1t9MAJGP5oP8jPqQyUf5Kru2aKeJI9qrz35/rF/si0fAXgVqb93ItMilrSFh60dkszha8bzHciYCG/ZscHrAtHnIM1bOzFSFfAhAAAI9RkALJmvxZD9CL5VoMWbhuPB7TW8LKUaq8F71WbVgXDGaiL3N/U0HTlvTouKVu13j4Z8Wj499J2LsYPOpZrd4zfvu2UXj3d9fucfdWnO7+/eMx9zEpZPd/NULnfiTIAABCGRDIGexQkY1ADfBQIN6X5hQvs75kRYSBDSIlxigTUKFiQTmpNZ3UD3lq67a8JMEBA34la+9H9mhcp3lm9Bg7ft7CQxK8seEl3Q+ZPLR91fH2axZEa3D59wJIEzkzizJNT7fvNKdU3l+8ED/s8FnuoXfvJvk7uA7BCBQRgQUoRd9g4gi/XTe0mNvD+kgWGjgV6h0z2v3h7bVTrmnDY0b3Y2Tbg6ZKOLiteVTyx1L3v3XG1eG1Y1wWgPF/piQaq/f8Or3J7rjJ4/n3RYVIQCB8iCQl1hRHmjoZdwIKNrB3sZhrwXNZSqH3rhBxETcrmpu/kiYOOPx3sFDUK8nznEfrv8oNwOUhgAEIBADAoq0iE4PkWhhb4W6b+oD4WBPU0KONB/tstcPTXsktKm/cpN+IqApOP7UkD9W93d6DSopOwLf7lzjBr7+YHh/+QJFv+f+EEw7umhE39PytcArU3CyY0wpCJQrAcSKcr3yMe63BAlbW8JECT90trNjW2NCD4L20BfjruJaDgT8+dx9hl7o9Mo9EgQgAIEkE0glWuh3b/O+4+6f038SF34z9tq8B8/HTh4LQvFtAKnXd7a1tyUZW1F819QErWdxxpAfBHG9NUTTcgoZ2VIUx3vQqEQKf1qR3WMP/uefbum6Ze7oiY4i2+Hjh917a953vxt/QwfhomrB2B7sBU1DAAJxJoBYEeerU4K+SUCQGKHFxbSexODZu4K3cPSNzOXtTJBQnub+3lK7xdkaEwgTJXiz/Nglrdg9dPaw8MFGr/ZTqCkJAhCAQKkQ0G9Z9O0h+o18bvHk8LtPA8E3Pp2WU5d3HNjhrn2mX2jjH9Mezql+ORbW1JBrPGaXj76KKL7IjbDj4E6ne8nECe0vGHaxe3X5VCdxLJukiAp/7am7Xr2XaSHZgKMMBMqMAGJFmV3wYnTX1ozwIyL0kGVREQptzSQ+pMtXpMS907YHogRv4yjG1Yu3zZMtJ929UweGD0S/fe73bu/RvfF2Gu8gAAEI5EFAv6USLfzfQ011fHD6AvfL4ZeE34MKq9faPZnSm5/PcIpCswHlqPlVRFRkgvZjvt6Y8uSsoSE7MVRESrn//ihSQouynjnk7JCNps9oIc2mEz+tu5Il5mBBUz/K4m8v3ck9mi08ykGgTAggVpTJhc6nmxIf/CgICRASHmzzH6jyPZYYoU0PaBYlgSiRz9UqvTqao+0vfDZgym15PQyVHhl6BAEIlDIBra0kkd7/Xe017BP363E/LQSpwfPvn7/Bvbisxn2zo97tb9ofIvl622r31yl/CweTKjv363lhPgfZE1i+8RN3ZdVvQpZaOHLGyrezN1BCJT/Z+GkH0Uz3VeXsp7os4GiRTb0xRPa0jV34TAlRoysQgEBXCSBWdJVgQutbNIRNx7AoiFynY/gPU/6xFg4zIeKxWTsDIUJzcyVEMGUjoTdNN7q9df829+ux14QPL5r/2tLa0o0e0BQEIACBniWg30r9jvq/reePmOx+OfyK8LvRBnjp9jdNHuC27NvSsx1JeOtas2Lcu892YC4xaPuB7QnvWXbuK2Ji6JzhHfqv9VQ0xaiQ6ZYXbw3bWPDNwkKaxhYEIJBgAogVCb542bhuosSkD/eG60Nk8wYN/+HIjk18sLUiFAkhuxIgECGyuRqUyYaA/nrjv/ZMIackCEAAAuVKQL+vWqfJfou1v3TsK+6WKQ92+K70BYtyjgAo1n2yYc8G94fn/xgOqPVGqtqPXilWc7GwO2/1gg7rSvR9+nK3ZueaovimKTY23UlTS3gbS1EwYxQCiSOAWJG4S5beYRMmNF1jwMtb3FnD13Z4uPEfdPxjLeolIcIXIfSaTz0g8arP9LzJKTwBvd/+54N7BQ+DWol99pd1hW8EixCAAAQSSCDVm0P0W79s/Ro3a9VsN+G9F4JNb1tQaD2pOASmLHspFCwkEP3phRtLbmDdsHdz8LpRXwB7ePq/3JHmI8WB+qPVzxo+D9n2n3hTUdvCOAQgkAwCiBXJuE4pvdR6ErkIE/4bNGxKRkrDnIRANxM41XrKPfLmv8OHFK0qrnnXJAhAAAIQ6EhAEY3RN4doKid/XOjIqZifNFVRU2z8wfzo+WMSLxJpysfIeaM79OvPL/zFfbXt62Li7GBbi3Ua1zlfze2QxwcIQKD8CCBWJOSa6yFE60voVZ/ZrCuhSAmtFYEokZALXMZuHjx2MPjLlD2caNG4PYf3lDERug4BCECgcwL25hBEi845FTNXr9XWG1fOe+qnN67o1doffLesmM0Wxbb6MvOLWe6iEb8KhYKLRvQNzimvO9PxU83hdJBLRl7m9JkEAQiULwHEiphee4kTFjWRaY0JX5hg8cqYXlDcSkngiy2rnB5GTKgY+PqDTq8rJUEAAhCAQGYCJlr4Uzt1TKRFZnaFKqE3sTz85qDwd0y/Z/e8dl9iFuD8aMNyd8OEP4f+n/F4b9fTUSKzv5wT+qNICxIEIFC+BBArYnrtFeYZffjQZ71lQ680Uz7CREwvHm5lJNDW3hbMrf7Z4DODBxLtJy19MWM9CkAAAhCAwOkE9AeO6OtOTbTQ+lOk4hOIvuZUokXVgrHu8PHDxW88jxbW7Frrbq25PRQF5G/Fy3e5Lfu25mGt8FWun/CnwLczhvSOLcPC9xqLEIBAlABiRZRITD5LiNCDhkVNaMFL/QWFBIGkE/j+yF538+S/hg9ICjVd0fBZ0ruF/xCAAAR6nICJFtHpIf1e2BRMJe1xB0vcAUUGTv5giju78rzwN+68p37paj962Z1oORGL3mu9jftffzD0TyKFIisUYRGnpDeDyTdt4xdPiJNr+AIBCHQjAcSKboRNUxAodwIfb1ju9OBmDyD6q86BYwfLHQv9hwAEIFBQAjY9JCpa6C1hmmLKHz8Kivs0Y5oa8u8Zg8PfOv3mSZifuHSy0zpNPZHqd3zrHnjjH84iGuXTb8Ze6xZ8s9B197oU2fb/j9X9A4Z6bmhm7YpssVEOAiVFALGipC4nnYFAPAkcaT7qBs8cEj64aU6sXv8W1wekeFLEKwhAAAK5EZAokeqVp1oLS+taMJ00N565lv525xp3w48DbhPpz3riXPfkrKFOEQ7FTppyuejbxe7GSTeHv7/yo+/TlweLg7a0tRTbhS7Z12t4jZtebU6CAATKjwBiRfldc3oMgW4loAeli0deGj5wXFH1a6cHOBIEIAABCHQfAU0n1dTS6HpYesOY3jZGtEXxrsXCb9497VWnGoTr7Vfj3n3Wfb55ZUEbX719tXt63mj3q6d/WsBa7V097jo3Y+XbBW2rmMb0Bw35LN8vG30Vf+AoJmxsQyCmBBArYnphcAsCSSegMNi7Xr03FCkUejq8bmTi30Of9OuC/xCAQHkT0LoWerV5dIqIoi30enSiLYp3f6zb/Z0b9Naj4e+iRQ1of07l+e6e1+53NR/WOr0pK5d0pPmIW7X1S/fMu8+5K8dcfZp9Tbn8aP3HuZiMTdm6r+aG/Vm6LnmvhY0NSByBQEIJIFYk9MLhNgTiTEDvnu8z9Kd3z/cbf73TfFkSBCAAAQjEg4BNEfnV2PVEW3TzJTl64qib/WVd8IpTX7CIHvefeHNQ5l9vPeqemjMiWGhy1PyqYD0MvR61/8SbOvzWRuv/e8ZjTgJJkpOmslh0pt5WQoIABMqLQF5iRUNDgxs0aJAbMGCAq6iocLW1tZ1Sa2pqclVVVUF51dGxzvlJNmRL+bKtNvy0ZMkSN3DgwCBfe332U6b8FStWhPXNZ9+Hrvqo9mVXW9Q330+OIVCqBPRAoYcvC9nUQ1PvJ/sEfyVqbeNNNqV63ekXBCCQfAKKptCrT1NFW7C2RXGv77GTx9z81QvdfVMfcOc99ZPIHxUesvl8wbCL3cNvDgrsxfWVqfnQfP696jC6ojvW+sjHR+pAAALFIZCzWKFBvQbkEhQkAEhkkMBQV1eX1sPKyspwEK+BvAkWVmH69OnBOe1NVFAblurr68M6OpY92TBBI9t81ZN9E07UnqWu+ih/ZVs+yTdx0iZO2pMgUMoEFKb567HXhA8Teqj6+yv3uJ0Hd5Vyt+kbBCAAgZIikCnaYtKHe1nboshXfGPjpkD4HzpnuNP0jQFTbku7/e2lO93IeaPdnK/mOtUr1bT36N7wLSZai4MEAQiUD4GcxQoTGzQwt6RIBw3KU6XGxsZg8O5HX1RXV4cDetWJ1o+2ES0ftZlrvrUpgUIpak/nojYz+SiBwpKOJaCoz36/LZ89BEqBgP4a9MrHrzktmOn/xefOl+9iykcpXGD6AAEIlDWBdNEWWqBT0Rbz6w+XNR86370E7p06MHjWOHfoBe5ky8nubZzWIACBHiOQs1hhURAa4FuySAf77O8t6sGfGmE2lKekwb3EAUtWxyIfZF9igZ9Ux8SGTPmKdrC2zIYiIRRhoWTtdcXHaGSFRYgQVWHE2ZcKgT2H9wSrjOuBwRcpKl65263ZtbZUukk/IAABCEDgRwJ6/WmqN4mcNXytG72o0WnRThIEikngow3Lw2eOWatmF7MpbEMAAjEikLdY4fchG7HCFwtSiRUmTMiuiQd2TvZNmLB2o2JFZ/lWx/Y2dcV8svbss8rl6qOEDgkW2nRs02SszXT7mpoal25rbW11bDCIyz3w5Zav3ANvPBQ+LJhQMeitx9zanWu5V/n/yj3APcA9UOL3wJZ9J9y/Z253Zz615rRFOW+p3ezmrj7IPVDi90BPPZO0tLS4vqOuCJ5B/jrlb12+z/RaVBIEIBB/AmUnVkhIkNDhT88ohFjhX2oJHYraMFFEUSG2voZfTsfphAqdt3Uv2P+w/gccup/Dpl2b3ITFL7gBk2/rIFJoEa+x859x2xq3c5/+uD4N92f3358whzn3QM/dAzO/+N7d+OLG00QLvQL1XzO2uu92Hub3gd+Hgt4Do+eOCZ9FGnY3dMn2qVMdo4Euf3bDafeypjzZ9t66I8EjfKpy5z29zj0+5/Q1ur7Yesz9YVJDaEPlZqw62GEooHpqQ2WVr+P/59F698Cb2zuUU7vaoknlo+cPHGsN6suO8lO1KzvyxdpUuVtf2eJU15L11T5rLz9lV/X8surHzyp/EDGVH7Wluiqv8+aX2rTN+Ppt+cfGycr7eytnZaK27BrYee1V3z6nq2/lZNdP6c5nc71lJ8pB3Oy+MNt+//xju9ZWTvtST3mLFUmaBmIX0YQKf8qJ8kysUL6lVJEVfj2rY9EfVk+ihKIrLF+ctPhoujU9rB57CMSFgKZ5vPzxq+4vk24JHwosiuK6Z3/nZqx8m/micblY+AEBCECghwloCogW3uw1bG048LCH634vbHLTVh7oYQ9pvlQIbD+wPXwueWHJpIJ2SwNNDfy0aUBtg1k7ZwNzDRY1ULfzGmTaYNgf1NqgXgPRmo/3BZsN/vXZkg2wVU4ChT6bPV+wUF0bqFpd7eVn9Lz8kyAwdnFjMAg2ezYgVj35oLrK03mVVR354fdVZSzpvPJVzsooT36qnPbiYn3qzC/j57O2dlLtzab8jNa18lZG+ZZ0LN+02Xk7Z5+tbLS+ldN5P6U6n+31Frd010d9U77s2ya/xcg+qx0l80H7Uk85ixU24I8usBmdhmHgOlu80sqkW7xSA36l6GKXZtOEgkz5smFv6fAFB2vf7PnRFmbTymTy0cqJgxiZWKHz/rGVYw+BOBHYdWi3e3FZjbthwp/DBwETKLTXwlaaL0qCAAQgAAEIpCPw8cam4BWoNjiwvaIteAVqOmqcz4WA/SHlyjFX51Itp7I2aE1VKZ1ooEG8PzjXcXRQL3s2UDXb1lZ00GkCw6a9Pywmmq5d/R/z2zURImpP7cpHJQ2I5ZtfT+dtAKxBs5LyZd+SPqueDZjtvMpoQO0nEzDMf7PtCzUqn67/vi2/nC+SWF0ra5/9vpu4Ih/tvPlin9PVt3Ky66dU542N75/qZHu9rb7fjo7ld7R9nTcfon2I1i+FzzmLFQq5VOSArclgg3o/KkFTIExIECQN4G0tB0UZRBfUtCgG7SWCqKy/oKYN9mVXx2pbNiQyKGXKt2gH1VNZf1N/CuGj+WGLdpo4or367PcnaJB/INDDBBRB8dKHL7s/vXBjSoHi2mf6uYlLJ7vGI9/3sKc0DwEIQAACSSKgV6Aq2uJXY9eHf9XUQ7c2LcqpPBblTNIVjY+vb34+I3xmWbX1y6I4ZoPeVMY1qNTmJ0Um+INKDVj1OTqAV52omJCuLbPpCwcmNvhtqx3fHx2nKue3YwNdP9LCbKqcDYBlS/aVTHyIig1WL7q39sxWujaj5aJ27LOVs8/aR8/ZZ2vTPouh+mHnzZdoX6x8tJzO+8nq2/lcrreYSsCIJtk0e36e/E513nxQvm0SknTPRQUT314Sj3MWK9RJDcBNMJCw4AsTytc5P9JCgoAG8RIYTKgwkcCgKapB9ZSvumrDTxJDNOBXvvZ+ZIfKdZZvYoi17+8lXCgVwkffXx1ns2ZFtA6fIVBsAgu/edfp9aJ+5IQdV7x8l5v6yRtux4EdxXYD+xCAAAQgUAYEOnsF6oCXtzBNpAzugUJ2Ua9N7/XEOcEzzJB3KgtpOrSlwaEGgKmSDeBtgGh7fwBqA8nOBpmWl64tRSTIdrSciRfyTREOKiOfLGnAaj6l2tugWHk67ixF+5pKfFF9DY7lp0SSaJvWhg3oxckfTFv/rVw6f6ycnx89Z59lS/zEwqam+P1V+8qTLxb5oXPqn19OdqL98T+rPSUrZ599H6N5qu9fL79sqmOV78yu7ge1oc36n4v9VG3G7VxeYkXcOoE/EIBA5wQ0z7NqwVh34fBLOogUPx/cy91eW+FmrJzpjjQf7dwIuRCAAAQgAIEuENArUG+p/WFA4D/02zQRTSMhQSATgX9OfyR4ljmn8nx3qrXjQpmZ6maTb4O+VGU1ENQg1waINki0gbHq6FymQaYNQNO1FRUrNJiOigf2f8gfnOpc1D/fV9mxNnW+s2TtqbxsynZ0CojqK0/9V6SCtRUd+Kuc8lXO/Pb3mXwxe76/1g87Z59lS9No1Jb6q89qy28jG1+sntrWsW0WqaH2lKycfTZ/UuXJD/96+WVTHat8Z3bVtp+Mk4kwfl5SjxErknrl8BsCWRCY9/V8d1vNHR0ECkVRXD3uOlfzYa3b37Q/CysUgQAEIAABCBSOQGeLcmqayODZu5wiMkgQSEVg6bpl4XONjjOl5ZuaXHTrbBqSDXpT2dVAM9Vg06ZJqI4GyBpk6lw0aZDsD5zTtWUDYD+SQrYkFtigOVVkhXxLNQ3E98Nsp5oGojwb6MqWfFXSOQ3+ZVv9s2S21C8/Wb+U7yfZlB21rTwbXEfL+XV0rHoSRfxkbdg5+2x788l8jLZhQobOa7NraOW0TyUWRM/ncr1T9UP+i6+1a/3RPlX7Om8+ROtY36PnfZtJO0asSNoVw18IZCDQeLjRPbtovLt45KXhj7kEijOG9HYPT/+XW7n5iwwWyIYABCAAAQh0DwGJEo/N2un+z+DT/+JqwsX8+sPd4wytxI6ARAUTGrTWyehFje7pd3e6Xzx+XvCM02fYfU5vndGmgV2226h396Ttqw34UhXQYFNbNNlA1wbyKmN/2ffL2nk7Z21FB5fRBTatfHSv/vr+mD0bqFt52bc25KN88+upnIkfJpAoX/Yt2Toa8s2SbKqM1bHz5r+1qfNW3y9r/vrlzIbtzV+/XeVZXStnn6NMzMfO2vDtWTmrJ7t+SnXerqtdfytv5+2z+Wht2Hn1TdckmtSXaPsqYz5E7dh9aIJT1F4SPyNWJPGq4TMEUhBY9t2HruKVuzsIFBIprhpzjZuy7CV34FjHd3unMMEpCEAAAhCAQI8RmFd/OHibSCrhQlNFbI0LLeBJKg0CEqskRkmEUERNtsLD/zvovuB55/97tI/7n/9clbVIocGftq6IFdFpFjYA9Qf/Gvhr8KlIBAkHGqjb4N8XEqyuymoQr3I20E8VmRG96tGBuQbLNmVD9TWYVRtRcUI+qK7aUptqW2VU1wbc5q/fpg2GTXAwIUF1lae2bIAu+zaYVjmxSBcdYeX8tnSs8+aHz015xs7q2Ge1K/6WZMP3xc5H91bffLF6Ou+nVOezvd52fVJd72j/1Kb8jrav8+aDroOOtZn/UVHH9z2Jx4gVSbxq+AyBHwlooanXlk91V1b9poNI8YvHz3L3v/5g8LrR9vZ2eEEAAhCAAAQSRaAz4UIP8H3Hrg8GtxroIl7E+9JadIQiI0yQUNSMrmM+m94yc/m4t8Pnnltr3wrEBwkQtml9FK2BkmrrbAqISNqgLxVVGzj7fmvgqekMNsi3ehrAmvCg8hqoSxjwk7WlwaaJDDbw98ulO5Zd+eQn+SF/ZEf5EgnUTtQ/+eK3Ge2D9TVq2+qYIBDtp+zItto2UcPvp28v3Xkro/x0PKyuX1ZtRkUeG9hr31kye1bO6um8n9Kdj3JIdb1lJ3p90pVTWfUn2r7Omw/Kt804Ra+z73sSjxErknjV8LnsCeh1olULxrk+Qy8Mf6wVRXHZ6KvcC0smsRZF2d8hAIAABCBQOgRsqkiqV6Hag7ovXmQajJYOmXj1xEQJRUncN217zlMzdH1/W70pmBYk0cEXHKI9bW1rdecPuyh4BtIU16QmGyAn1X/8hkCxCSBWFJsw9iFQQAKb9252/3rrUafICYkTtt08+a9u0beLXVt7WwFbwxQEIAABCEAgXgQ0INZf6PVWkVTTRUy80LQRTSnQX/KnrTwQrHsQr54k15uuiBImSPhiRL6RMZWznwqeg8564lzXfCqZC7IiViT3/wGedw8BxIru4UwrEOgSgc8aPj9tPYozHu/tHn5zkFuza22XbFMZAhCAAAQgkFQCirow8aLXsOymFti6CIoA0KapJLaIo+3zHUAnlWPUb+Ngi1pqvZBcFrGUKCFBSaKEpvToOhU6fb55ZfhHm3frFxXafLfYQ6zoFsw0kmACiBUJvni4XtoEtNaEoiX+/MJfwh9jRVIo7PGZd59zmgpCggAEIAABCEDgJwL6q78Gxxoka7CcrYBhERnF3lvEhwkm2mvKhAkn2lskiAkGhRroS4Axm9qbEGFTNjSVJtf+d4co8dPV7Xik5yR789k/pz/SMTMhnxArEnKhcLPHCCBW9Bh6GoZAagIKZZyxcqb79dhrOogUl4y8zE395I3Ehjqm7i1nIQABCEAAAsUloEG6FlrUGggSMe6dtj1YG0ED7VwH53Eq7wse/nE+okNn/dJ0G60lIW7iJ5YSheKQnpozIpwKcqo1Hj7FgQs+QKBUCCBWlMqVpB+JJ3Do+CH37KLx7uzKH94dbutR6E0fb34+I/H9owMQgAAEIACBuBIwQSPV2yOi5xSRYIP2aJ7/2SI8VDa6PTZrZyAASASwrTPBoFh5JkTIB/NRfqsfcREkOrtnPtn4afiHnQ/Xf9RZUfIgAIEEEkCsSOBFw+XSIlC/41s36K1Hwx9bEymueaafq/tqbml1lt5AAAIQgAAEIJAVAV/40LFFhpiokO3ef6uG2SyVNTn0VhB7M9qQdyqz4kohCEAgOQQQK5JzrfC0xAis37Pe3fOiqFqzAAAgAElEQVTa/aeJFH976U738YblJdZbugMBCEAAAhCAAAQKT+CRN/8dPEtdMOxip3UsSBCAQOkQQKwonWtJTxJCQCLFA2/8o4NI0euJc9zgmUPc6u3fJKQXuAkBCEAAAhCAAAR6noDeBGJRqau2ftnzDuEBBCBQMAKIFQVDiSEIdE5Acylvrbk9/EHVD6veDV61YKzTehUkCEAAAhCAAAQgAIHcCBw/1ezOGNI7eL4aPX9MbpUpDQEIxJoAYkWsLw/OlQKB2V/Wud8+9/sOIoWEimF1I9zeo3tLoYv0AQIQgAAEIAABCPQYgbtevTd4zrqi6tc95gMNQwAChSeAWFF4pliEgDt28pir/ehl1/fpyzuIFBcOv8Q9/161O3jsIJQgAAEIQAACEIAABApAYMbKt8PnLU23JUEAAqVBALGiNK4jvYgJAUVKjFk4LlyZ2uZQXjXmGvfGp9Nc86nmmHiKGxCAAAQgAAEIQKA0CBw4djAUKyYtfbE0OkUvIAABl5dY0dDQ4AYNGuQGDBjgKioqXG1tbacom5qaXFVVVVBedXSsc36SDdlSvmyrDT8tWbLEDRw4MMjXXp/9lCm/sbHR1dXVBW2rnWhasWJF6J98sM0v15mPal92tUV9821wXJoEtu7fFiyQaXMmTaToP/Emp4WfWJ26NK87vYIABCAAAQhAIB4Ebpx0cyBYaE+CAARKg0DOYoVEBg3IJShogK8BvAb2EgLSpcrKynAQr4G8ykuwsDR9+vTgnPayKTHCFxTq6+vDOjqWPdkwQSNTvtpReRMTdBxNvg86ts3K+fmpfJRtnZdPsi9O2sQpKsyYTfbJJ1C/41t379SBoZpvIkXFK3e7zzevTH4H6QEEIAABCEAAAhBIAAFFVNhz2JHmownwGBchAIFMBHIWK0xs0MDcksQFDcpTJUU0aPDuR19UV1eHA3rVidaPthEtH7WZKV9tmL8mdER9NTEiet4+Z/LRF0B0LAFFffb7bbbYJ5/A8o2fuNtq7gh/FPXj+IvHz3J61/fGxk3J7yA9gAAEIAABCEAAAgkisHbXuvC5TIubkyAAgeQTyFmssEG9BANL6QQA5VvUgz81wmwoT0mDewkOlqyOyinJvsQCP6mOzmeT79dL56vOKzpC7ch2dCpKJh+jkRUWfUFUhU8/+cdL1i51f3rhxvDHUCKFXj+qN3vsObwn+R2kBxCAAAQgAAEIQCChBPqOuiJ4Rnto2iMJ7QFuQwACPoG8xQrfSDoBQGVMeDBhQudSiRUmTPh17Jzsa/NTVKzoLN+vl85XRUBIqJCooiktNmXE6qo980fnrF92TvWsjo5tmozVT7evqalx6bbm5mbHFg8Gs7+oc9eM+20HkeLcoRe4cQuedd8f/J7rxL3KPcA9wD3APcA9wD3APdDD98BjM4YEz2p9hl7omo41pb0eLS0t6R7NOQ8BCMSIAGJFmoshwUIChYksmcQK34wEDK3JIQFE9SSC2PoafjkdpxMqdP7kyZNsPcjgxIkTbs6que66Z3/XQaT43fjr3X8+ne4ONx3m+vTg9eH/B98P3APcA9wD3APcA9wD/j2wuP698Jlt+fpP0j6ntba2Rh/J+QwBCMSQQN5iRalNA4leG4ucsLUuJDp0NlXF6kuUUISF1RcnCR/p1vSweuzjRWD2l3Pc1eOuC3/wNN1j4OsPui+2rIqXo3gDAQhAAAIQgAAEIBAQOH7yuDtzyNnB81vVgnFQgQAEEk4gZ7FCUxw0cLdBvPqvyIHoNAzjEl0MU+dtQUwro/r+YN7asKgGK2/rP5hNm4KRKd/a0T7VNBDZVZ/8xTCjkRWZfLQ2ZF/+m1ih8/6xlWMfPwJt7W1uzldz3TXP9OsgUtz/+oMsmhm/y4VHEIAABCAAAQhA4DQCeiOb/sh07TP9TsvjBAQgkCwCOYsVGtgrcsDWZDChQAN0S5oCYUKCzmkArzoqYyKA6llSWYkF2ksEUVmJA5ZssC+7OlbbKm/RHZnyzY72qcQK/7x8kJ9RHzL5KBvyw17Jaq8w1V599vvj+8NxzxOQSJEqkuKBN/6BSNHzlwcPIAABCEAAAhCAQNYE3vh0WvhHJxY/zxobBSEQSwI5ixXqhQbgJhhoUK+BvJ90TqKAJQkcGsRLYNAmocKiJKyMohpUT/mqqzb8JAFBA37la+9HdqhcpnyzlU6skD8mvKTzIZOP1obts1mzwsqy734CrW2t7p1Vs9xvxl4b/qhJiX/wP/90m/du7n6HaBECEIAABCAAAQhAoEsEdh3aHT7X/WfFtC7ZojIEINCzBPISK3rWZVqHQNcISKR4+4t33FVjrgl/zH42+Eyn11whUnSNLbUhAAEIQAACEIBATxOwdcfunfpTpHZP+0T7EIBA7gQQK3JnRo2EEmhvb3fzVy90vx7bUaR4ePq/3Nb92xLaK9yGAAQgAAEIQAACEPAJjJj7dPAHqbOf7ONa2nhNqc+GYwgkiQBiRZKuFr7mTeDzzSvdH57/YxhJ8fPBvdwjb/4bkSJvolSEAAQgAAEIQAAC8STw4fqPwmc+3uQWz2uEVxDIhgBiRTaUKJNYAmt3rXO311aEP1hak0IhgVv2bUlsn3AcAhCAAAQgAAEIQCA9gZMtJ8NXmD67aHz6guRAAAKxJoBYEevLg3P5Eti2f3uwBoXECdv6T7zJrd6+Ol+T1IMABCAAAQhAAAIQSAiBO2r/HjwD/umFGxPiMW5CAAJRAogVUSJ8TjSB/U0H3NA5w90Zj/cORYprnunnFq95P9H9wnkIQAACEIAABCAAgewJvPLxa+Gz4JHmI9lXpCQEIBAbAogVsbkUONIVAk0nmtz4xROcFlKySIpLRl7m3vx8htPbP0gQgAAEIAABCEAAAuVDYNP3DeEz4bzVC8qn4/QUAiVEALGihC5mOXal+VSze3X5VHf+sIvCH6SzK89zkz+Y4pRHggAEIAABCEAAAhAoTwKXjb4qeD587O0h5QmAXkMg4QQQKxJ+AcvZ/deWT3UXj7w0FCkUUfH0vNHu4LGD5YyFvkMAAhCAAAQgAAEIOOeemDU0eE68aMSv4AEBCCSQAGJFAi9aubu86Nv33JVjru4gUjw07RG34+DOckdD/yEAAQhAAAIQgAAEfiSgNctsevCGxo1wgQAEEkYAsSJhF6yc3V26bpm7YcKfwx8d/fj8bvwNvOGjnG8K+g4BCEAAAhCAAATSEDh+8nj43Fj70StpSnEaAhCIKwHEirheGfwKCWzYs8HdVnNH+GMjkULhfDO/mBWW4QACEIAABCAAAQhAAAJRAnp1vZ4d9SpTEgQgkCwCiBXJul5l5e3uQ7vdw28O6iBS9HriHFf9/kQWzyyrO4HOQgACEIAABCAAgfwIPLtofPAseeaQs93JlpP5GaEWBCDQIwQQK3oEO412RkCvIR2zcJyTMGHzDH8+uJcb8k6l23d0X2dVyYMABCAAAQhAAAIQgEBI4LOGz8PnyU82fhqe5wACEIg/AcSK+F+jsvHwVOsp9/LHr7oLhl0c/qhIrLjr1Xvdln1byoYDHYUABCAAAQhAAAIQKAyBlrYWp6gKPVPqj2EkCEAgOQQQK5JzrUrW07b2tmD9iUtHXdlBpPjD8390q7Z+WbL9pmMQgAAEIAABCEAAAsUnUPHK3cEz5vUT/lT8xmgBAhAoGAHEioKhxFA+BN5fu8Rd9+zvOogUV425xs1bvcC1t7f//+2de7AlV3WfqcpfKSWFy06VkrJTSSXBlZSpwoANAhFwoEJBZLCpFNhgHCHAJBNjpJEdJx4kS8MIxGssyhYaBEIWlkDJgHiOBH6IEeHlQbZ5jXhYYiRegkskjTS6o9FoJDr1teZ3tM66u0/3Pd3nzLnn/nZV3929H2uv/e3dj7XO7r7TiHQdEzABEzABEzABEzABExgRuPJz7x09ax46cmiU7h0TMIHFJjCVs+LAgQPVtm3bqjPOOKPasmVLdcUVV0zs5erqarVz5866PHXYJy0GZCCLfGTTRgx79+6ttm7dWucTcxxDW/7Kykq1Z8+eum3ayaGvjrSPXLasW27Lx1X1mb//bPWSd/zm6MbB0jz+w8f7/vp/V8cePGZEJmACJmACJmACJmACJjAIgZtXbhk9c1735Y8PItNCTMAEZk9g3c4KjHoMchwK+/btqx0VOBhwBDSFHTt2jIx4DHk5LFR+9+7ddRoxMnFGRIfC/v37R3XYRx4y5NBoy6cdysuZwH4OfXVENrqjE/LhxAYnYoeHCXzuls9XL33n6aMbBk6KJ+84tf4PH/wvbAcTMAETMAETMAETMAETGJoAP4rx3HnuB88fWrTlmYAJzIjAup0VcjZgmCvgXMAoLwVWNGC8x9UXu3btGhn01Mn1cxu5fJbZlk8b0leOjqhrlkdeltmmY3SAsI8DhT7Hfsc2N9v+vm99oTr9XS8fc1L84vanVG/9+B9Vdx0+uNlwuL8mYAImYAImYAImYAJzJPDaa86tn0NxWjSFt3x8Z/XMNz177HkVBwfpCnffd3d9rHL86Hb21b9Xka7w67t+o5ah41L86b//TF2GWKFU7yvf/Ur9w97z3varY21c++XrKtLQj+2Vf/pfK8rGgN7KV4zeWV/qUBcZKods2sihC6Nch2P1V/JjHBmQDocY0C2ncxzHJbYR03M9yS2lM4awYUzJh1WUpbrEkQPlYzmNIzJKm/pLXqwX5Xv/YQLrdlZoFQQGvkLJAaA8rXqIr0ZIBnkEjHucAwqqQzkC8nEWxEAd0rvkx3olXdVeHx3zygqtENnsqyr2HfhC9bLLXrHmRH39x97of0MaJ6b3TcAETMAETMAETMAEZkbgY1+6dvQ8euD/3bqmnfM+tL3OJ8aYZLv0hnfVadGglCGqcuRhrGLcK6iMjksx8jFWZbhSJtfDeMZgRn50hlz91/+nrkt5HAroqXLRYYFuakN9Uj+pq3DbHd8e9QHZ0RES9VNd9Z28EiPJjTFl0QVngHRR3dgGZaJuyBCXmE65OC6UUxsxvSSPsjkdvoyhHA8wQFfKEcegdHEQF5w9BMZAfVRZHRNrLEt9iO14v6qmdlZEeCUHgPLlCJBjgvSSs0KOCfJVR2nIl2NCcrOzYlK+6hCXdFV7fXTE0aHXTNjXazKx7c2yf+SBI9X7b7ym+s8X/1p9gnMisj35dU+tLyp33HvHZkHhfpqACZiACZiACZiACSwAgTtX7xw9l77381ev0ahklJaMXwxmjOwYZKwqTca1jkuxZBMr5HocYzxHBwSGLmnkxSCHgwxm8uSsiOXYlwGtdJVDhgLtZCb5mLLqR3QQSEaMVS6u1lBaZEAbsW9yzOQ+Uy63KXkxPcuTTjldDKIulNXYagxKbVBO9VVO7ShdxzEu9SHme9/OinoODOGsiJMJJwsfEeUVEJwqrArR9zViOfYvv/zyxk3fvdgo8S23f6t6w0ffWJ36+qePbgachE+94OnVzusuqm6/4/bRtzw2Sp+s58PfXjEHc/Ac8BzwHPAc8BzwHNjoc+AFf/zC+hn11Ve+Jj+S1+kYpjE0GaaxDAY+v8izskFBTgeeg7XlVwokOxrHqoccGckY6zFg7CMzp1OmyQkR62NMo0t0CMT8uE87sRzH0zBCZqm/pbTYphwzOGDQI+tCf2OQvGmcFXkMJZfxRSfJlPNBqyNiOfKiw4c8lVe5GCM3b/Q1Ozxinc22P/XKCr8G8vBHP7X6QxMHpwQrLOQAgRMfH236pofqbdSYVRQf/eLHqlde/sg7bjrpnve2F1R4rlfv9wdGN+r4Wm8TMAETMAETMAETWBYCfCuN51RW+x57aPy/z+kVgGgoloxfsdDzbi1vx6ljRipGNenU14YRSpqMXskmVlA9yc7GOOVk/MZ6qp/zdCx5ilmlkI1q5ElHlSOODoL1MpJexKX+ltJimzhGpCt6RF3YJy9y0GslYky7sS95P8qL7Ua9JUNliSnbNWgMSuWRwxjTBzYcUPSJLTtDSvU3Q9q6nRW84sBqAX2wEkisHMivYQjepI9XqkzTxyv1Wkb+2KVkylHQlq92iEuvgUhe/BimZKpum44qh3wYyVlBetxXuY0c//jHP66+cODG6pwPnlefTPHEf9wfPrH6navOqj578+c2chetuwmYgAmYgAmYgAmYwJIR+MzNnxsZr39729+N9U4rDuJzrfaj8atKpGnDuMSQV2gyaFnRoBUYJUNd9ZCLPNqPzhPkk0d6NNLVbs6Lx9EgRoeor1Zr4KxQOeknI5021stIehHrdY6ot9qIafSNNmmLffpAIG0aXZBBX2kjbmpHOuZjpRPHPHTguGvQGJTKI0f9U744lVbOqMxmitftrGD5FysH9E0GGfUY6Aq8AiFHAmkY8NShDKsMcHZQT4GypBHjBKEszgEFGfvIZZ+2KY+TgdCWLznEJWeF0vvoKD3QkaB/YUpMn2N/6gIb8A8XDU6o//iW59YnKSeYttMuen71zhsuq1bueeTDqxuwi1bZBEzABEzABEzABExgSQkcPXa0euL5T66fXy/+q0vW9FKGJb/QY9iWfqlfU6ngQGgyaGM68nmOJlaI+ax8wAmCYyH+yi7HQvz2g+p3eQ2EspKhtmlXThTJIkY/8mLoyyj2pcRAbWadOM66oBcytMnQjw4AyYt9YD+n49CIDhyV7/oaCP1Cj9g/ZIiX5MUYHaKu5IlJTo/1NtP+up0VwMEAl8MAAz86JsgnDaeAAg4OjHgcDHJUkBYDqxqoRz51aSMGHB0Y/OQTx5UdlGvLl6wmZ8UQOqoNxV2+WaGyixrv/95N1c5PvK16zs7T6pOak0rbKTueVv3hh86vsmd6UftivUzABEzABEzABEzABDY3gT/5q7dX/GeQQ0fuHQMh5wCrCxSy4ahf+/N3G2SQUp6AUc3zcg4Yw3IKSLbqlOrJqRB1whjGiZENd6XHstIr6yG5cnggC5kxqK+xnS6Mooy4X2qjxEB2BnFmE3WJsrUvedHQR06pXk4Xq9gmcpUOD0KpDdLl2FK5unCor+MYo0PUlTyNjVdWPExqKmdFhOz95SLwwIMP1CfhBR+7sHr2W//TyDHBycT2C9tPqba+73erP//qX1T3H7t/uTrv3piACZiACZiACZiACWxKAhj5GOwY5AolwxTDV0Ym+Rib1Iu/yqsM+dqQTz2MWoJkEyuono6J9aFN1SNNKwgoj3HLMU4Q9IjGsgxt6UBMWcqxaRWAyiGPfX0rgjKkKXRlpPLE8NSKj/wNjhID2RzR6YIc9Ii6xDa0L3n0QQF5pXo5HRaMIX2mPrKa9FY6nCinMcr9QwexlT4xRgfqIINNY5NX08Q6m23fzorNNuKF/vKvRD9w4zX1tyb44JAuEoqfcN6Tqt++8jW1F/q+o/cVJDjJBEzABEzABEzABEzABDYmAQxFnnujkUtPSukYtRiYGLXUIeZYhj/1MI71HK0YAzQ6HCSbWEH1dEwsIxo50RGBkwLjWvIx7mM+dWUoq4ziprLoSBli5KMP/SNI3y6M6grH/6gebUZGUWZkQPu0GZ1GlEUXtklBbUUdkVeqV0rPYwuHKCu2TXrkNakcbZUC6XmDU+57qe5mSbOzYrOMdOrnl7/zleqS699R/dolL1lzkuik4WR5/43XrFkml0T50ARMwARMwARMwARMwARMwARMwAQGJWBnxaA4F1fYXYcP1isjzr76f1RPveDpRQfFL25/SvWa926t9nzp2jWez8XtmTUzARMwARMwARMwARMwARMwARNYNgJ2VizbiIb+3PzDm6t3ferd1W9cenrFvxTViokYP+vNz65e95ELqv/7zU9XfK/CwQRMwARMwARMwARMwARMwARMwARONAE7K070CAzY/ur9q9Vf3nR99fqPvbH43zvkpHjZZa+onRg3ff9rA7ZuUSZgAiZgAiZgAiZgAiZgAiZgAiYwDAE7K4bheMKkfPHbX6q/PfFf3nVGceUEDop//4b/UL32mnOrT359b+UPZJ6woXLDJmACJmACJmACJmACJmACJmACHQnYWdER1KIUu+e+e6rrvvzx6vd3/6/q1Nc/o9FB8aJLXlz98V9eXH3pO19eFNWthwmYgAmYgAmYgAmYgAmYgAmYgAl0ImBnRSdMJ7bQjbf+TfXOGy6rfvOdL2t0TjzjwmdW537w/Pojmneu3nViFXbrJmACJmACJmACJmACJmACJmACJtCDgJ0VPeDNsurer99QTXq142lv+KXqzPeeXb3ns1dW3/jBN2epimWbgAmYgAmYgAmYgAmYgAmYgAmYwFwJ2FkxV9zdG/vEV/98bBUFzomzr/696qrPv8/Oie4YXdIETMAETMAETMAETMAETMAETGADErCzYkEH7eDhg9W2D5xTfeDGa6qbV25ZUC2tlgmYgAmYgAmYgAmYgAmYgAmYgAkMT8DOiuGZWqIJmIAJmIAJmIAJmIAJmIAJmIAJmEAPAnZW9IDnqiZgAiZgAiZgAiZgAiZgAiZgAiZgAsMTsLNieKaWaAImYAImYAImYAImYAImYAImYAIm0IOAnRU94LmqCZiACZiACZiACZiACZiACZiACZjA8ATsrBieqSWagAmYgAmYgAmYgAmYgAmYgAmYgAn0IGBnRQ94rmoCJmACJmACJmACJmACJmACJmACJjA8gamcFQcOHKi2bdtWnXHGGdWWLVuqK664YqJmq6ur1c6dO+vy1GGftBiQgSzykU0bMezdu7faunVrnU/McQxt+W0679u3b6QfOmiLbUzSkfbRny3rFmV43wRMwARMwARMwARMwARMwARMwARMYDKBdTsrcDJgkONQwMDHgMew37NnT2NLO3bsGBnxGPKUx2GhsHv37jqNGJk4I2hDYf/+/aM67CMPGXJotOV30TnqwL426RDzSzqiL+nohG60yQYnYgcTMAETMAETMAETMAETMAETMAETMIFuBNbtrJCzAcNcAecCRnkprKys1MZ7XH2xa9eukUFPnVw/t5HLZ5lt+VleqU05I0p9KJXPMnFQKLCPA4U+x34r37EJmIAJmIAJmIAJmIAJmIAJmIAJmEAzgXU7K2TU4zBQ0EoHHcdYqx4w7hUkgzwCxj0OBwXVoRwB+Tg0YqAO6V3y1d4knZHF6gjaQXZ+FaVNx7yyQqsvvKoijpr3TcAETMAETMAETMAETMAETMAETKCdwNTOiii6i7NCjgnqyXmgNBwBckyQX3JWyDGhdrOzYlK+2lNd4qwzKyBwVOBU4ZUWnA9sCm06Uk912NdrMqrfFF9++eVV03b06NHKmxl4DngOeA54DngOeA54DngOeA4MNwcefPDBpkdzp5uACSwQATsrGgYDhwUOiq4OlSgG5wjf5MABggycIPq+RizHfpOjgvQjR454MwPPAc8BzwHPAc8BzwHPAc8Bz4EB58CxY8fyI7mPTcAEFpDA1M6KSa9UxH5qlcSivwYSdWZfeuvbHDgdJr2qovo4JVhhofpwwvHR9E0P1XNsAiZgAiZgAiZgAiZgAiZw4gj84K1vrb76uMcVN2l16NOfrvMpG8OPLr10LF3liGNQGzGdNm958YtjsXq/lH7fV75SHfit3xrp+M3nP7+6+9pr19R98O67q2+ffXZ10ymn1GW//qxnjZVr6qfSEdjUhzWNNSTQV9pFJnpEZvRXbZVi2qYuWw45XXpmOSWmlIWZdIIRrBRK40NeTG9qT+3HdhkbtUc+Y8cYOnQjsG5nBU4HDHcZ8TTDyoH8Goaax1infPzQpD6IqTLUj8a82tCqBpXX9x8kU6+OtOVLXpPOyM065pUVbTqqL3CgPTkrSI/7KufYBEzABEzABEzABEzABExgcQjIIMXxgEHKhjGLkakgQzUa3hi7cgooXeWIY1AbMR350cBV+ZyOkUs7GOt3Xn11vcno51gBfTCQKUtfMJjl4OCYQPvaKMumY+lGjA46lvwusbh977zz6vrEyEIPAn1ReyqrY2L6oDrRuD962221HPIU6B+ykQNfNhhlpiqHDuzDAkb0XaE0PuTFdHSLuqptpUnf3B5jRHtsyHBoJ7BuZwWGPSsH9E0GOQow0BV4BUKOBNIw4KlDGTkBqKegb0oQ41CgLM4BBRn7yGWftnEuaHVHW34XnfUNC3RAz6xDm47oih76l6z6F6bE9Dn2R/1ybAImYAImYAImYAImYAImsBgEZJBGQ1Jp0hCDFOOUdAWMZAzQmK5yxDFIXkynXjasqZPTKVMydOWYUDulNshTfZVTTHqp/aY+qF5TrHqREWWll4x51Ve6jhVTLjIlHQcDaVGG6kempT5NcmDI2VOSRbtN6eRlHaU/OtBmDHJgqL2Y5/21BNbtrEAEBrgcBhj1GPIxkBZXWuAswIjHwcCGo4K0GFh5QT3yqUsbMeBAwOAnnziukqBcW36bzugjx0uTDm06Rn3Z7/LNilzHxyZgAiZgAiZgAiZgAiZgAvMnIIM0tpzTsiGuYxnRlCcoPRulkhcN6+yUUPsxHQcKxzhGcqAN8iQTIzmuFlB58qWf0ohLhj3p6gOyteEsQYfo0Imy2FcfcxlWRZBHHIPKxzTtY+zHvpQcAKqv/lM390l9yeNBWfqGDEJJ1qT0XL8WMuGP9FB7E4o6q6qqqZwVJmcCJmACJmACJmACJmACJmACy0RAhmrsU07LxiaGtIzpaPRiqGPYkyfjnDQMfcpFw1qOgFKM0U3I7UYdcx5yVC+Wa9rPhr3KSS6OGPbZxGOSfPLQoWuQzFJ5vQoCQ/ghN74CQh3VF2fScp/kTCoxjrwkq6kcDHKgLPVKAecIcyDLaypfkrGZ0+ys2Myj776bgAmYgAmYgAmYgAmYgAnUBORIiDhkvCpNBjzpMoBlwGajFUNVr4dkY1V1kEseBi1pcSNdTgHSs/ySTpKneiozKc6GvcqqTeIYxCk6B2I+8tC1a8iMYz3aQBas9QpFfAWEstIn1st9UhvR8RJZS2ZTOR3nrVwAACAASURBVLWRWdBm07jI0YJMtaU5Q5pDOwE7K9oZuYQJmIAJmIAJmIAJmIAJmMCSE8DA1SoJdVXGq44xOjFOMUT1SoTySkYrqwFkqBLLgGVfgXq0nUNMb1pVQJ2ur4Fg+Md21V427JVOWXTIdcQkp6ue8tE5BrHI6Sofy8Z9xoQNh0H+BgTl8qsipOU+qS+l10BiW9Il960pnbqlcVc6OscgPZDn0E7Azop2Ri5hAiZgAiZgAiZgAiZgAiawxAQwoHE+6L9VqKsyUnUsYxMDlfLR8G4yWlWXWPKiMUy9NmcFdSmT24zpaqfUBnn0jfo5ZMNe+epr1JU8OVyaVlaoXjbItapAqxjUjvTVcY5VD91pOwa1RZkYcp80vjg94phRh7pKky65z03p1G8ad9LzfFJfMpuou/cfIWBnxSMsvGcCJmACJmACJmACJmACJrDJCGCYYtxiXOZf3mWkComMY8pmA7nJaFVdYsmLxjD1aD+HnI6Rj8HOSgL05LWIkt4Y3hjllEVHymE0Iy/3jzazYS891FdksM8m/bMRrjqK9doEzgXqycGRVxpQXjJVN8d6FQT9o6ODfVjQT/ooHYm1GoN9BfqODPLYZxMXlZMuOlbdpnTykUl+Dhob+kw+Mbo2lc/1fewPbHoOmIAJmIAJmIAJmIAJmIAJbGICGJIYkflXe5DISBUejFgZvEpT3MUIlbxoDFOvi7OCdjDQZWBLDwz1HHBYROMYA71Ujnptzgra0SZOWomQ243H9BVnAnWJOS4FMSnlKQ39kRGDnAHSrSmOdWCALJWFZRwL6RLTqN+UTh6ySn3LY4C+jB/l25w9UefNvO+VFZt59N13EzABEzABEzABEzABEzABE1hwAnKSRDWbnCwqIweDjh1vPAJ2Vmy8MbPGJmACJjAogdUbb6yWZbvjqquqlV27Om/fPuus6sArXrEQm37lyfEQ+n333HMbmeSxP/L1rw86vyzMBEzABEzABPoQYDUE98b4Cgjy7KzoQ3Vj1LWzYmOMk7U0ARPYpASyIdlkjDcZtNnw9fEjS1nNojuLm1/0ojGHTnZ+3PPJT445vDbp6epum4AJmIAJDEiAVzFYHcGqChwTOdhZkYks37GdFcs3pu6RCZjAAhF46NChMSMuOhtuf/ObxwxADEIb0N0N6PWy+sZznlMdePnL172tXHJJtZG22848c2Ifbzr11LnOs5ue9rSxec5qlrj65eBHPjJ2jnDOOJiACZiACZiAXuPAKdHlGxkmtnwE7KxY0DFlGW78pTT/ihUf9NjHAMq/wObjBe2q1TKBuRF46NYbqi7bg1/7cPXAJ89fs923+9XV6lWvqrd73316dfDNv1zd/YanVPfs+Nnq4B/8THXw9/9Zvd155k9Wd2z5RzPfaEdtjsV/8DPVoR0/W9zu2fmc6vBVr+q8Hf3EtprDsc+9rRM78f3xXbeua1y55q1+4Qudtge+//11yXbhdgK1Uy3xv+vDH17jpInOnptf+MK5OD3aVnVwD8wrO7j/2enRPu4uYQImYAImYAKLTMDOigUdncOfvb665Zn/erDta7/w2IkPlfmXr+goYZ9fgLODRMdtjpIFRbw0ask4JC4Z2fe/91erI+/+peJ2+JxHVUNtTW3MNP3inx9M/6E4WE73OXXfW/9lcV42zZmSA6lvWtP5cfSal61xVvVt69jfXbEuh088t7vsn+iLWnZ4ZGdHXvEx7xUerMT5xnOfO/ZDAPe30o8B2fnh73ic6Nnl9k3ABEzABDYjATsrFnTUj9zwnoUywg79z38w1a/EPzz9J6vvveifTtx+8IrHVD866wmN2x3nPqP+BZtfsUvbve/57erwJy5dsx351J+tNQxu/+LijPiRg2v1u/WGCoMmGkUYTdF4O3zBTyzU3NhsxnleMXHnqx89trrhnvP+VXXP6x5Tb4fe+HPV6kVPqA6/47Rq9c9eWT1w/XmDb0evPbM6ctkzem+Hdzza82pA591CnhcX/MTYtUTXlZJjpuhYmfH1M66suef668dWdXz3nHPWvNpyIpwd8dWjLis+8grHzbIqqF4pNeWHe/VDSCnOrwxlvl2OF+ch4MRr0jZO8C6Ng9K6fqA4njdt+00/nmWnYpwLdiae+LlkDUxgVgTsrJgV2Z5yHzqw14bDCTYc7j3vp+rl/Szxv/dNj61W3/bE4nb4T55UNABOtLGyet5P1a8BxNcD7jz7MdXKmY8fbd974cnVvLfvv+SftDq+KNNXr9tO++edVibd9sInVd951a+MGUK3v+lNY4bSHVdeOfZ6wmYxOLpcxnjdg+tV29bFUXP0A6f3droM4bhZj4wTfZ4vQvtyepTikiMkOmO132XlyEMdnCXR4aF9zt/8zZGS82Ner7VkYy2vZJy0mjGv+OhinE8qM8kYxTgs6eZv60z+rk6J2TzT8vzajMfiHR0cOnfs2OhyZ3cZE1gcAnZWLM5YjGvCr+4dDIChyjz4tQ9N9Yvv/Vf9yphxcd/bT6l/SebX5NJ26PX/dvSrs359Vnzo/J+2gyY5aOKv+D965aPHDPhsjLe96rOIDywYB/Ed+C772ejIxzJQSvH4SeYjE1hMAl0dQG3X/2N/+6eN1/V87cZBc99b/sXGvgY3rBzBidLkNCmuILn1hqo6crCeHPk6kl9t4fqTr1snesXHIl7rrdNkB8dG4pPnez7GEZjvy9Mel5yKQ7FCp1I4+tH/3ngdVPkHb/pgXYayMTzwF9vG0lWOOAa1EdNxPB95++NjsXq/lP7QrZ+qn73lrL7vj/5NdexvLltTt1pdqe6/8nnV4e0nPdynC08eK6f6TTECm/qwtrHxFNVrkh3Z0W+2Bz79lurwhSePdOU4hx+v3DTWd+5d8FBYT7vU6cqySe6aMSswj32lzaKs7SfV/Yp9qfvUIk9zqZUzct7/0tFcaJoz9KckK/ezbldjFWyX3FeNS5/Yzoo+9Fx3oQjE96X55sfh63aNtjsvOqsqbT967fOqH535+DXbD7f83JhjoO+v/LF+07dIvnHKv5v4XZH13KB5WM4PEDpue2jgYTw/oLcde6XBQp0KVsYEBiNQcpw0Obe7vJJUegjaKGlN31g5eu1ZY6/uabUIcf0toZuuqw5//B1j28F3vra646Kzxrbv/bfnVnn71mmPbV0h9t0X/PTEVy31KmZ0fjftH/ydf1h8UO0zRqvb/3G9KvG+XU8trkLssyInsmb//o/8bnX40l8uroJsWh0Z05s+THzXm06rFmVr0rEtvc8YdqnbdH4wvnwbKI8VxyVn4Xo+zhyf+3hO0fMNqyP1zMN/gSo9P7U5K3A8YFSy1Qb/OY+YTDI2xwyz1ZWRIah0lSOOoTb0znlULVvpMM4GIXk5HWO2dj5ceHJt3GPQy8AcM+5XVyoMUsrSF5wZGPbI45iAXtooy6Zj6UxMHR1L37ZY9WDHftyQJ0bIqfXHoXLhyXU6ebXu5zxqzLmCo4L+kEdf2epy20+qyCOsp93OLKuq1gO96Q/61WN44clrxkz6aP6IeeyvdFQZjtmvx3X7SRVOJoU2efRbbGsZx8dXaeIS5cS5kJ1cmkuqT0zdODdrpwcs3v/SNW3HfqoPfeNHzry+klzfBDYJgfodz/TV/GjMl5Yc6wY6bcz727GNuL9JsLubJmACm4hA26oR8ie9WjTJccIDpzcz8BzYOHMgO7Syg7D036pKl0s9v+mZqlSmNkJxTASDcZR2vAIGHPMnGmZxBYPSVY44BsmL6ciLBqHK53QZ9lE/ysoYVb1SG+SN6qvg8Zj0UvtNfUjV1xyqnljEApndSKfAnP7VqywuPHlUVYzH+k65404ECvZut8ASuSWemZnaHnMaSV7oh8oRx0A9+qJ0lWuTJxkqr/pKz3KVXs+ZoBfp9In0GHI/I2+VU9ul8VaZaeOpnBUHDhyotm3bVp1xxhnVli1bqiuuuGJi+6urq9XOnTvr8tRhn7QYkIEs8pFNGzHs3bu32rp1a51PzHEMbfltOvfVkfbRny3rFvX0vgmYgAmYgAmYwIIRaHj18thnL1rjFGl0hFz8uIVygvBaD7/qTdr4Tswkp8+s8jbi92kmcYx5fV+n6jJusb28zytesxq3rnIbz5Hjv+xj7Mx7O3Lxz4+t7OE1uVKQURrzclo2zHSsX7ZlsI3S0+sMkke+AjwwCnMYS0+GeSybDdKS0Ul52pR+sX42SJWnPoyN1/aT6hUGY04DVTgeq16pLWTF9Ka29Qu+Xo2gHg6LHGL9zu2ugyXtlcYstpt1iseUQ3cF6UiswAoIzmVWV0ziSvksTzJKckflk1OCdPVJ9VUW+THkftbj8P6XxiITnURjBac4eIRcx8oY9RjkOBT27dtXOypwMOzZs6dRwo4dO0ZGPIa8HBaqsHv37jqNGJk4I2hDYf/+/aM67CMPGXJotOV30bmvjuiL7uiEbrTJBidiBxMwARMwARMwgc1LoPRKTZcVJGNlOnxkdPMSds83KoHSuZEdhSUHCEbTtBuOl1IoGXA5TUYh6QR+idav0eij9Hp1wPHXFrQcn7R6hUD4BR0Zk/oh4zG3G/XPechTvViuaT8bpConufGVBfGYJF/1Riwk8HhfY3pT29EBU7+y0TLeNNG13UnlSnnq82gcjzsNMgPytQIkj6kQSH7O5zi/ltFFXpaL/Bjq10smsIvlS2OR0+oVGdtPKn4rJI5r1KHP/rqdFXI2YJgr4FzAKC+FlZWV2niPqy927do1Muipk+vnNnL5LLMtP8vLbWZ55GeZbTrioFBgHwcKfY79Vr5jEzABEzABEzABEzABEzCB4QjwH4Oic6/0fR2tRGlaWSFHQtRKhqrSZGySrtUUMvgwOKPBVhvc+sBlMhhVB7nUwwgkLW6kyyAmPcsv6SR5qqcyk+JskKqs2iSOQZyi8R7zVS+yUH7uQ1Pb0VkhebTLfmlDvsq1tTupXClP/VUfiLPesNA3NXA6SMfauC+srIgOoPo7EqzACN/f6CpPOklv4hia5pb0iys5ePUmz5vcz9pxVPi4Zh7XqEOf/XU7K7QKAgNfQSsddBxjrXrAYaAgGeQRMO5xDiioDuUIyMdZEAN1SO+Sr/aadFZ7fXTMKyu0QsSrKuKoed8ETMAETMAETMAETMAEFpMAhplWSUhDDF8MMQUZhfrvChiyCkWDbXVlZLhSV683RKOSetlIROZYul5dSEvwKRcNe45L/SAdAzi2SxohG6THk0fGf64jJjk912tzGkxqW220vQaiNonRpzgGeUXHOlgiFyM+z4vMTPpmBw7l0ElBOq5hd1wnMesqr01u3X7hNRDVizF6Mj9jyP0kT7rJ4SKnnXSP9fvuP0KuoyQZ/rF4F2eFHBPUkwyl4XiQY4J8OQ+Uhnw5JtRudlZMyld7qkscdVZ70od81VFam444OnBYsLGv12Rim943ARMwARMwARMwARMwARNYQAIYi8f/hWTUToaZ0mRsYthRfuyX6bSyQnViLHnRWEUWRmEOOb02PFOb1BmlHxdQaqMup+8ipIZKBilF1NeoK+lyuGTDXGJVr2S80qeYPtK95QObKifnhdrCUSM9erdbYCmZGOQxZGZiPqYfc+r4KgTVlTzisZAcKF3lSUaTXMmBUwyUjzqofls/YZ3PE9WN4xrb6rNvZ0VwjsgxAdD1OiviIFCXj4jyCghODlaF6PsasRz7l19+uTcz8BzwHPAc8BzwHPAc8BzwHPAcmOMciM/kGFu1Mcy/fkxGnYw9lZdhhtGdDbtsiKtOjCUPOQrZKdGUXi/BP/5vPtFz9PpA1nvSvy5N/aOtbHirffWVfrLPJv15paYpqF7JeM2MxJ2VC/SJTa9OxG84jPoe/h2rnCZqZz3tjuQd/zewJZZ1GZwN20+qWYsBMTqysU9Q2zgn0KfmdLwufVZQuciUttXn9crLclVf6TjTJBte5Ne64Zg77iCDuZwqcvyofp4b+hBoLKc+aRxUd4j4EXIdpcmIb3qlIovRqoU+r1iwCmLRXwNRv3FKsLpC/YYTHx9t+qaHnRV21ngOeA54DngOeA54DngOeA54Dsx3DujZnVjGW14CP8orGJsYgDlkQzznR3nRqOzqrKA+BnRtMB7/BgZ6RKN+1KY+5nn8mxmN5To4K9BvtPHfQHhVIK6EGDX68M4k4zUzkjGM8S6DmRgDOodS32O59bSL7JK8yFKOlFHfI4ewLz2j0wEHB/OqnlvnPGr0QUrpmGWWxqeLPLUtucRrQpoLcqhoDOt+NjDX+CBTbWSnRFP6Gj2mSFi3swKnA6sF8gc282sY0gVjnfLxQ5P6eKXKNH28UisdVF7ff5BMHCeEtvw2nSWvj47qCxxoT84K0uO+yrXFumG1ldsI+cvSF/dj8Wabx2SxxmRZxgOq9GUZwrKMybL0Q3NrGebXsozJsvRDc8vXrWUgsLn6EI3hRet5m25yRCya3sukz7qdFTgMWDmgbzLIURBXTvAKhBwJwMKA17ccWGWA84J6ClqtQYwThLJxJYWMfeSyT9vIwMlAaMvvonNfHaUHOhL0L0yJ6XPsT12g5c+y3Tz9YNYy4HPM9tyaI+yOTS3LmCxLPxi2ZbhmqR/L0Jdlm1sek44XxzkUW7a5NQdkM29imcZk5rCWoIE2h8CJ7GKbbnZWzH501u2sQCUMcDkMcCxExwT5pMWVFjgLMOJxMMhRoVUS6iKrGqhHPnVpIwacIRj85BPHlR2Ua8tv03kIHaO+7Hf5ZkWuo+NlulAvS1/cD83OxYk9JoszFmiyLOOhviwW3em0WZYxWZZ+aG7Rn40elmVMlqUfmlsbfV6pH8twjizDWMyjD20OgXno0NRGm252VjSRGy59KmfFcM1bUhOBZbt5LsNNZ1nGZFn6wbmzLH1xP5quhCcunTFZhuC5tXij6DFZrDFZlvGAqq9bizW3rE03Am0OgW5SXGpZCdhZsaAju2w3z2W4gS7LmCxLPzh1l6Uv7sfiXYgZk2UInluLN4oek8Uak2UZD6j6urVYc8vamIAJ9CdgZ0V/hpZgAiZgAiZgAiZgAiZgAiZgAiZgAiYwIAE7KwaEaVEmYAImYAImYAImYAImYAImYAImYAL9CdhZ0Z+hJZiACZiACZiACZiACZiACZiACZiACQxIwM6KAWFalAmYgAmYgAmYgAmYgAmYgAmYgAmYQH8Cdlb0ZzhRAv8SlX+rumvXrvpfru7fv3+sPP9SlX/Vyr9k5V+38u9OY6A+dcln41/A5n/7mv9tK8ezCPy7WPTj39bmf1dLe6Tp389SJv/72bZ85Ovf04pF7usQ/UIvdIF7/Be7kh31QJ/Ms23MJId4z5499biVeMVy0+zPY26hFzw0R2fRD7XRZ261jRn58d8t5/NsGv6lOnGOM3cY/xiYO5P0YEzjv3nO53tbfmyrz36c47rurKysjER20QPGXa8HJVajxnrsoGe8fsI+X4Pbrp9t+VKPtnT9UtqQ8aznlnSlHc3RzEpl+sTzmlsaC+J8De+jv+oOMbdgAe+me1Hb9UK69I2HmFsw7vKcU7qe9NVf9YeYW9wrJt2LYlv0pfQMoTLTxvOYW+gGL+4xXKdn0Q/amMfcmnTPnHYMXM8ETGBxCNhZMeOxkJGnB6f48McNiZsEGzd6Lurc/IgVVJ80yuSbCvJ082df5bkJDRmkm/oRdaQd5XPTkGGIrvSxS776gf7U180nt9O3T2pH/aC9GJTPw3rUg3RClzGTPIw7GOQxVX7fWGOtvkjHrnqqPoxLcws5pOuBjHKxjb76q77mjvqRx1z5TXOrbcwYB/qgMeVBdBZjIj15YNc5QDtiprmT9YgODcZE1wOxp98Kbfkq1yeWnowHOqhftK3QpofqEMMCWfRLQflNrFSubyw9aU9zPF6XNHdgzD7lGTNdP9vyo36aV9QfOrTx0pj1mVvoLMcOMW1GB9UQfZKes5xb8byJY8r+kGGouaXrHvJiEKtJYxrLT7s/1Nxi3qsvkbX6MWnMp9U91uvSjsaMORLnieSIhfrBcVNgXOhzHrem8utJl5603+e6pX6UdOQax7WQMmpnPTp2KSueTdd5jdmkOY7uTXMLHdA/3zNL/e2ir8uYgAksJgE7K2Y8Lty0uSDroh1v4uxzEeZmpMBDc3yoJ58LvYJ+qdfDtB4uaYMgw4wH5yED7SFbOtOfGLg5cNNQoDy6yxBry8/9QA7yhr7p0AexQ78sX+MUH9IZDxmM6v+kMRMDbsB6oMm8VKZPjC6znFuaS7PQPfa779zqOmYYzQqlsVfetDHzlfFWyPz0cBz1iHVUPp678bxoy1e7feOSntID2V30iP2iTpaZ8yVzyLkmmZGn9ODcIahfTdfPtvxayPHVR8wpne9KHypu46V+TTu30FMyxGYo3aMctRH1FGPKlcZM+RqjzCLL1PVA5XXNXrS5RV8n3Ytyv+CT+x7ZTrufZWoMxKuLHpPuRaX6GtNpdS7Va2tH/YrXA+mhudJ2L1K7yJChn58hVGbauKSn+qZzM+ud63A8aW6hG+M+tO65z7OeW7THdTeOKX0izcEETGB5CNhZMaex1AOUbjY0ywMbF9WYpnLkcwMlXw8NpFE21uHCzA0hBvJndRNS+1En2uYhPbcZdW/L58YaOSAzOgli/4baL3Hipkd6DPRLfWsbM9WDD/rrISLzUrkhYmSjc+TXpmeXuSXHGA9G9IU24kPBELpHGdPOrbYx0xhkh9PQY4L+ekCkX+zDTA47jRP6KDCvNN/Ufx5MFVSHvLZ81ekbox9t6QEeedGJ2kUP+sS8UVAdMed4EivV6xOjP+1E3prTahv+k66fbfnoRzucH8xDjVcfvUt123ip3djX9cwt2mSMYUHM+NGnOBdLeq03bR5zS4ZdPu9gOFQYYm5FXeDNeMXQNqaxbJ/9vnMrti2dI+u2MY/1++y3tYNOcI5zuqQvOqgs+Tkoj3ssY5bHLZdf7/E85pbuTTrnNf9oe8gAK11rkat287nZdN2KujSNFdcsNnRHDvtDj0nUw/smYALzJ2BnxZyYly60XFi5SXDD0IU2/zKnCzFlKSOPOjcBQulmqRvPLLqmG3W+iWe9ZBSoXFt+1lUGqPqZ84c4LnHSg670pn0e2nXz6zJm+YZMO5I3hN5ZBrJpI7Lqomfb3JLRwpzkwUzHetDIevQ9nnZutY0ZeqkMnErj3lf3Un24MXf0AKhximWZV+hDUP/jOKoOaW35Ue6Q+3J8aQ530YM+qXzsW0yLOmZWMW+ofc6JeC4jt+362ZaPDD3wM84ar6F0bpKTeZXaXc/coh3YMG70hzGnDY6jsdGkz7Tps5pbut+gf56L0+o6qd40cyvKQ0fGK4a2MY1lh9xf79yKbUvneA2L+eznMc/5Qx3ndrpct9S2ytKfGDjHuW9yjhBK14dYfoj9WcwtPZ9xznNv1LipX0PoXZIxi7nF9UnXLs4j9nXPLengNBMwgY1HwM6KOY2Zbgb5Jq50PVTpAVFqccONF2LlS07pZll68JG8vnHTTZwbKjfx3A/d7Nvyo14yLGf5Kz7tNXHSQz75sKdf8UGybcwYo3jTR444xH4OtS99NCckV+l5TJTfZW5RN9744RFZSNYQ8bRzi7YnjRn6ozfjQp/FhXk2qyBjifYU1K6OiaU3++p/HEfVIa0tP8odal8PgrBT6KJHnvOqQ39yKLHKZfoeMwfoA/OAa5EC/PN8RnelteUzvpSXQa/xkvxZxCVepXbRHd0I4k+soDpKo2wcZ/pEWmnMJKNPPKu5pb5yDWafmHHXGPXRuVR32rkVZcFZc07pGh8dE8cxjelD7U8zt2Lb0llzKuaxXxrzXGaI41I7mhdRtyZ9VTbPfZ5JeB7QPbF0fRhCf8mY9dyK9yfOE10v1P6Q8azmFmPA+c39nI192nIwARNYHgJ2VsxpLJtuijTPwzM3R2IuvNwMY+CGRT43YMnRA3epfOnBJ8rrs990E5dM8rWhRzYIlSc5OZ9j6s3jZjOJE6zREfYlfZrGTPpTJ2+M1SyC5gT65tCkp8q1zS36EAN9iAZNzOu7rzmRHxAll3xt6JXnTtOYlfjQh3yeqZ2+sR7Ksn7SQ+cu7cBTjNX/WE91mvod8/vqnevHB37miUKbnpSjT/EcVh30jaGJVSzTdx/d5aigTzG0XT/b8plD9LW00eehQxMvzYNp5xZ60gf6GwNps3Aaz3JuxXOKvjRdw2M/p93vM7dimyX2bWMa6w+xP+3cim1L59LcbxrzWH+I/aZ2dA1qur7GtlU2Xq84t0rnudJi/SH25zG34jhp7Gh36DCruVUaJ63KjdfCoftjeSZgAvMlYGfFnHjrRhBvDrlpbrLc+LiwlwI3ER6Oo5Glm4BuMLqhxptsSda0aaWbQ0mWvPRNN4xSflv/S+30SSs9IGZ5Wi4ZH3Bimawz4wCjuGlMKTuLMKu5VZLL3MsGzVB9Gmpu5TEr9SMbNEP1Ibcd5TKHmAvx16zIU+duNA51fiOnLT+21Xdf1xqMfF1bJLOLHvQrOrXUd8ZYYRIrlRkinvTLuviqj+qbrp9t+ZzT8VxXedIkc4g+IGMSL/Gddm4hn3OCXyWld2YxVD+Qr/mhtiRbbTadA5RTXdVR3zW3Sud2l2u95K0n7jO3Yjsl/dSvpjGN9fvu95lbse3StZb8SWMe6/fdn9ROl7ml9plLjImuAzE9nu9c49g091RuiHiWc6vUP127htA9ypjl3Cr1o2kORp28bwImsLEI2Fkxp/GadAElj4czHhRLxgEPLZThIY0y0ejVxZobG/vU5ybLjXkWQe2hTw7kka6HRfSOYVI+fVL/KRe3/EAbZfbZLz0gIg929EM3b+IcyJ80ZrF86aEn5vfdRxfagFkObXpOmltw0JjwwMwco5348Jzb63OM/k2syKMvTXNr0phJLucGuotXaVz76C/jArm0GTfkMo8jT82veJ7IYCRND3lRz7b8Xs3yVAAAA3ZJREFUPvqrLnrCCl3hFfuh60qbHmJMjAxkcf1SaGOlcn1jMYZl7IeuoaQx55qun235WT/1O6f3PW7jNcTcYpzEgn3NAY153z5Qfx5zS2OgMdV1K55nQ/Sl79yKOsCdcyqGLmMay0+7P8TcUttiz3mj0GXMVbZP3KWdtuuW2td5T38mBeTlcZtUvmverOcWeuj8Zvw1btFJ2FXXSeXmMbe4t7DRFlu+10zSz3kmYAIbg4CdFXMaJ90M4k1cTfOgwoM8NyhuuDnoBstDlx6yYxku0NSXHB40ZxUm3cTVR/Qt6TApX3n0IW8lZkP0j3ZKDxrqIzdz9CoFsW4as1iHsk1yYrlp98WuxKlNz7a5xXyDg+Rg9M0qiHuJlfrYNLdUt2nMZHzRDx5muozbevuJbsgvbZIVeaJH7ivnv4wr5GQ92/LVTp9YLEv9kL5d9JAzDzmwideuLqz69EF1S32QPirTdv1sy5ccYs3TmDbEfhdefecWesa+ci6Vril9+jOPuYV+jEO8J2re9tE91x1ibklmnpNKbxtTlesTDzG31L7mf5w3XcZc9fvEXdrpct1CB8lqmzewYxs6zGNuRRbci7hekzZkmPXcQlfOkXjPbHpOHrJflmUCJjBfAnZWzJe3WzMBEzABEzABEzABEzABEzABEzABE2ghYGdFCyBnm4AJmIAJmIAJmIAJmIAJmIAJmIAJzJeAnRXz5e3WTMAETMAETMAETMAETMAETMAETMAEWgjYWdECyNkmYAImYAImYAImYAImYAImYAImYALzJWBnxXx5uzUTMAETMAETMAETMAETMAETMAETMIEWAnZWtABytgmYgAmYgAmYgAmYgAmYgAmYgAmYwHwJ2FkxX95uzQRMwARMwARMwARMwARMwARMwARMoIWAnRUtgJxtAiZgAiZgAiZgAiZgAiZgAiZgAiYwXwJ2VsyXt1szARMwARMwARMwARMwARMwARMwARNoIWBnRQsgZ5uACZiACZiACZiACZiACZiACZiACcyXgJ0V8+Xt1kzABEzABEzABEzABEzABEzABEzABFoI2FnRAsjZJmACJmACJmACJmACJmACJmACJmAC8yVgZ8V8ebs1EzABEzABEzABEzABEzABEzABEzCBFgJ2VrQAcrYJmIAJmIAJmIAJmIAJmIAJmIAJmMB8Cfx/LOKgd5FF6mUAAAAASUVORK5CYII=
5 ключевых понятий: Федеральный закон «Об образовании в Российской Федерации» No 273-ФЗ от 29 декабря 2012 года
| Рейтинг | Понятие | Частота упоминания (презентация) | Мои данные |
| 1 |ОБУЧЕНИЕ | 158 | 177 |
| 2 |РАЗВИТИЕ (развивающий) | 88 | 22 (12?) |
| 3 |СОЦИАЛИЗАЦИЯ (социальный) | 83 | 1 (97) |
| 4 | ИНДИВИДУАЛИЗАЦИЯ (индивидуальный) | 61 | 2 (43) |
| 5 |ЛИЧНОСТЬ (личностный) | 27 | 21 |
* [ext[ссылка Федеральные нормативные правовые акты|https://minobr.gov-murman.ru/documents/npa/federal_npa.php]]
* [ext[ссылка Презентация «Федеральный закон от 29.12.2012 № 273-ФЗ «Об образовании в Российской Федерации» (Закон новых возможностей) |https://minobr.gov-murman.ru/files/prezent_273fz-13.pdf]]
[[Термины]]
| [[Аб]] | [[Ав]] | [[Аг]] | [[Ад]] | [[Аз]] | [[Ак]] | [[Ал]] | [[Ам]] | [[Ан]] | [[Ап]] | [[Ар]] | [[Ас]] | [[Ат]] | [[Ау]] | [[Аф]] |
{{Аб}}
{{Ав}}
{{Аг}}
{{Ад}}
{{Аз}}
{{Ак}}
{{Ал}}
{{Ам}}
{{Ан}}
{{Ап}}
{{Ар}}
{{Ас}}
{{Ат}}
{{Ау}}
{{Аф}}
[[Абдулмянова И.Р.]]
Абдулмянова И.Р. [[Формирование специального двуязычного тезауруса как составляющего компонента языковой личности переводчика в экономической сфере (французский язык)]]
[[air_ar 1]]
[ext[ссылка|http://конференция.com.ua/pages/view/699]]
Абдулмянова И. Р.
кандидат педагогических наук,
ФГБОУ ВПО «Нижегородский государственный
лингвистический университет им. Н. А. Добролюбова»,
г. Нижний Новгород
Обучающие возможности тезаурусного способа обучения при языковой подготовке переводчиков
Современное общество, в котором основную роль играют информация и современные средства передачи информации, предъявляет новые требования к специалистам в разных областях. Сегодня профессионал должен быть мобильным, легко приспосабливающимся к изменениям в своей специальности, способным справляться с огромными потоками информации. Формирование этих качеств начинается с профессионального образования, в процессе которого будущие специалисты должны не только получать базовые знания по специальности, но и обучаться стратегиям получения новой информации и знаний для дальнейшего самообразования.
Обе эти задачи можно решить, организуя образовательный процесс, опираясь на тезаурусный способ обучения, который способствует освоению учебной дисциплины в виде сложной системы терминов, понятий, концептов, направленной на дальнейшее развитие.
Тезаурусный способ обучения предполагает, что любой предмет подается как тезаурус соответствующей дисциплины, являющийся подмножеством научного тезауруса и предназначенный для усвоения обучающимся с целью его успешного ориентирования и функционирования в рассматриваемой предметной области. Задачей студента становится формирование а) личностного тезауруса специалиста, б) профессионального тезауруса, то есть присвоение тезауруса учебной дисциплины, который составит запас его знаний, умений, опыта, образов-ассоциаций в изучаемой предметной области.
Необходимо подчеркнуть, что содержание каждого тезауруса определяется обучением и индивидуальным опытом обучаемого. Воспринимая данные, получатель, преобразуя их в информацию, соотносит их с собственным тезаурусом, выделяя в сообщении множество знаков, совпадающих со знаками, фиксированными в его памяти. При этом одни и те же источники данных могут предоставлять разную информацию для получателей с различными тезаурусами, то есть, чем богаче тезаурус, тем больше информации будет ассимилировано. Этот факт подчеркивают многие ученые. Например, И. Р. Гальперин в своей работе «Текст как объект лингвистического исследования» писал: «Чем … тезаурус богаче и разнообразнее, чем больше развита способность читателя аналитически воспринимать текст, тем конкретнее выступают для него очертания несказанного, подразумеваемого» [1, с. 45]. Эту мысль подчеркивает и И. Ю. Доброхотова: «В процессах понимания текстов коммуникативная установка и внутренний тезаурус воспринимающего текст обусловливают определенный уровень полноты, глубины и точности понимания текста, т.е. «навязывают» определенный тип его понимания. Можно предположить, что чем более полной и дифференцированной системой парадигматических отношений в данном фрагменте лексики владеет носитель языка, тем эффективнее для него протекает процесс понимания соответствующих текстов» [2, с. 69]. Следовательно, отличительной чертой хорошего специалиста является высокий уровень сформированности тезауруса. Владение специальным тезаурусом способствует более глубокому пониманию своей специальности и, как следствие, лучшему выполнению своих профессиональных функций.
Соглашаясь с выводом А. А. Никитиной, что тезаурус «работает на саморазвитие системы, а также является своеобразным фильтром целенаправленного отбора информации, продуктом и инструментом мышления, самопознания, осознания бытия» [4, с. 9], отметим преимущества опоры обучения на тезаурусный способ.
Во-первых, тезаурус – это система, то есть наиболее удобная для запоминания форма представления знания. По мнению Л. В. Щербы, лексика усваивается тем проще, чем больше способ организации языкового материала в словаре отражает способ организации тезауруса носителей языка [5].
Во-вторых, тезаурус, как динамичная самоорганизующаяся система и одновременно модель мира (которую мы постоянно создаем и корректируем), позволяет трансформировать свои знания, собственный опыт, будучи в постоянном взаимодействии с миром вокруг нас [3].
В-третьих, тезаурус, будучи сознательно сформированной иерархичной системой, позволяет определить, какая информация является главной, а какая – второстепенной, увеличивая эффективность и быстроту выполнения профессиональной деятельности, что особо важно в современных условиях.
Одной из отличительных черт информационного общества является его «безграничность». Современные средства доступа к информации не ограничивают познавательные нужды пользователей. Барьером для этого может послужить как несформированный тезаурус необходимой области знаний, так и язык, на котором выражена информация. Поэтому языковая подготовка специалиста требует привлечения тезаурусного способа при обучении специализированному иностранному языку.
Чаще всего преподаватели иностранного языка обучают студентов оперировать иноязычными терминами путем заучивания наизусть терминологических списков. Это приводит к тому, что студенты приобретают только новый языковой код для выражения той информации, которой они уже обладают. Однако понятия, закодированные в терминах, могут не совпадать в разных культурах, и это различие проявляется только при сравнении двух систем знаний. Опора на тезаурусный способ позволит избежать такой ситуации. А иноязычный тезаурус специальности позволит расширить и углубить не только языковую, но и когнитивную картину мира будущих профессионалов в изучаемой области.
Формирование иноязычного тезауруса обогащает профессионально значимые знания специалиста путем его приобщения к иной интерпретации имеющихся знаний. Кроме того, эта форма работы дает возможность проанализировать свой личностный тезаурус на родном языке и выявить его сильные и слабые стороны. Наконец владение иноязычным тезаурусом специалиста позволит ему выйти на уровень понятий и концептов при межкультурной профессиональной коммуникации, поможет избежать недопонимания. Все это будет способствовать повышению эффективности общения между специалистами, представляющими различные страны и культуры.
Кроме того, необходимо отметить универсальность тезаурусного способа. Он может использоваться как при изучении иностранного языка в неспециализированном вузе, так и при изучении специализированного языка на лингвистических факультетах, требуя при этом разного акцентирования: в первом случае на языковое выражение, во втором – на понятийное содержание.
Таким образом, тезаурусный способ при изучении специализированному языку может быть использован и при языковой подготовке переводчиков. При этом учебный процесс должен соответствовать требованиям к языковой личности переводчика в экономической сфере.
Выбор этого способа в этом случае оправдан тем, что он позволит совместить его преимущества как при изучении основ специальности (экономики), так и при изучении специального подъязыка.
В таком случае содержательная сторона тезауруса переводчика выстраивается на профессионально значимой информации, включающей базовые экономические понятия и термины на РЯ и ИЯ, а также знания о сходствах и различиях двух экономических культур. Тезаурусный способ организации знаний в экономической сфере позволит сэкономить время и силы обучающихся за счет вышеназванных преимуществ.
БИБЛИОГРАФИЧЕСКИЙ СПИСОК
```
1. Гальперин, И. Р. Текст как объект лингвистического исследования / И. Р. Гальперин; АН СССР, Ин-т языкознания. Отв. ред. Г. В. Степанов. ) – М.: Наука, 1981. - 139с.
2. Доброхотова, И. Ю. Внутренний тезаурус и понимание текста / И. Ю. Доброхотова // Текст и культура: общие и частные проблемы. – М. : Изд-во АПН, 1985. – С. 68-77.
3. Мириманова, М. С. Рефлексия как системный механизм развития / М. С. Мириманова // Интернет-портал «Исследовательская деятельность школьников». – http://www.researcher.ru.
4. Никитина, А. А. Представление понятия «физкультурный тезаурус» / А. А. Никитина // Теория и практика физической культуры. – М., 2004. – № 11. – С. 8-10.
5. Щерба, Л. В. Языковая система и речевая деятельность / Л. В. Щерба. – Л. : Наука, Ленинград. отделение, 1974. – 427с.
```
ФОРМИРОВАНИЕ СПЕЦИАЛЬНОГО ДВУЯЗЫЧНОГО ТЕЗАУРУСА КАК СОСТАВЛЯЮЩЕГО КОМПОНЕНТА ЯЗЫКОВОЙ ЛИЧНОСТИ ПЕРЕВОДЧИКА В ЭКОНОМИЧЕСКОЙ СФЕРЕ (ФРАНЦУЗСКИЙ ЯЗЫК) Абдулмянова Индира Рафаиловна диссертация на соискание ученой степени кандидата педагогических наук / Нижегородский государственный университет им. Н.А. Добролюбова. Нижний Новгород, 2008 13.00.0
[[Абдулмянова Содержание]]
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=1018730]]
*[ext[ссылка ар|https://new-disser.ru/_avtoreferats/01004139302.pdf]]
*[[air_ar_s3_2]]*{ {air_ar_s3_2}}
*[[air_ar_s4_6]]*{ {air_ar_s4_6}}
*[[air_ar_s4_7]]*{ {air_ar_s4_7}}
*[[air_ar_s4_8]]*{ {air_ar_s4_8}}
*[[air_ar_s4_9]]*{ {air_ar_s4_9}}
*[[air_ar_s5_1]]*{ {air_ar_s5_1}}
*[[air_ar_s5_2]]*{ {air_ar_s5_2}}
*[[air_ar_s5_3]]*{ {air_ar_s5_3}}
*[[air_ar_s7_3]]*{ {air_ar_s7_3}}**{ {air_ar_s7_3 1}}
*[[air_ar_s8]]*{ {air_ar_s8}}
*[[air_ar_s9]]*{ {air_ar_s9}}
*[[air_ar_s10]]*{ {air_ar_s10}}
*[[air_ar_s11]]*{ {air_ar_s11}}
*[[air_ar_s12_1]]*{ {air_ar_s12_1}}
*[[air_ar_s12_2]]*{ {air_ar_s12_2}}
*[[air_ar_s12_2b]]*{ {air_ar_s12_2b}}
*[[air_ar_s13_1]]*{ {air_ar_s13_1}}
*[[air_ar_s14_1]]*{ {air_ar_s14_1}}
*[[air_ar_s15_1]]*{ {air_ar_s15_1}}
[[Абдулмянова статья 1]]
ГЛАВА I. ТЕОРЕТИЧЕСКИЕ ОСНОВЫ ФОРМИРОВАНИЯ
СПЕЦИАЛЬНОГО (ЭКОНОМИЧЕСКОГО) ДВУЯЗЫЧНОГО
ТЕЗАУРУСА ПЕРЕВОДЧИКА
I.1 Переводческая деятельность и языковая личность переводчика
I.2. Специальный двуязычный тезаурус переводчика
ВЫВОДЫ ПО ПЕРВОЙ ГЛАВЕ
ГЛАВА II. МЕТОДИКА ФОРМИРОВАНИЯ СПЕЦИАЛЬНОГО ДВУЯЗЫЧНОГО ТЕЗАУРУСА ПЕРЕВОДЧИКА В
ЭКОНОМИЧЕСКОЙ СФЕРЕ
II. 1 Дидактико-методические основы формирования тезауруса переводчика
ІІ.2 Разработка и апробация системы упражнений по формированию.
специального двуязычного тезауруса переводчика
II.З Ход экспериментального обучения
ВЫВОДЫ ПО ВТОРОЙ ГЛАВЕ
[[Термины]]
абзац: Самая мелкая структурно-композиционная единица текста, обозначаемая в наборе абзацным отступом, полноформатной начальной строкой и втяжкой всех последующих строк или неполной концевой строкой.
en break, indentation, fr ВСТ de Absatz
[[ГОСТ Р 7.0.3-2006]] статья 3.1.3.11
АБЗАЦ англ. paragraph, фр. alinea, нем. Absatz. Отрезок письменной речи от одной красной строки до другой, функционирующий как сверхфразовое единство или сложное синтаксическое целое, сз Русск.
Площадь опустела. Я все стоял на одном месте и не мог привести в порядок
мысли, смущенные столь ужасными впечатлениями.
[[Ахманова О. С. Словарь лингвистических терминов]]
АБЗАЦ (от нем. Absatz). 1. Отступ вправо в начале строки (красная строка). 2. Отрезок письменного или печатного текста от одной красной строки до другой, обычно заключающий в себе сверхфразовое единство или его часть. А. является средством логико-композиционного членения текста, поэтому при работе с текстом на использование А. следует обращать особое внимание.
[[Азимов Э. Г., Щукин А. Н. Новый словарь методических терминов и понятий]]
!! Инженерный дискурс в рамках коммуникативно-когнитивной парадигмы
[ext[ссылка|https://cyberleninka.ru/article/n/inzhenernyy-diskurs-v-ramkah-kommunikativno-kognitivnoy-paradigmy]]
!! Методика обучения русскому языку иностранных учащихся инженерного профиля в условиях лингводидактики ХХI века
[ext[ссылка|https://cyberleninka.ru/article/n/metodika-obucheniya-russkomu-yazyku-inostrannyh-uchaschihsya-inzhenernogo-profilya-v-usloviyah-lingvodidaktiki-hhi-veka]]
18.02.2020 Аверкиева Любовь Геннадьевна Методика формирования иноязычной профессионально-коммуникативной компетенции студентов бакалавриата на основе использования междисциплинарных проектов и интернет-технологий
[ext[ссылка dis|https://lunn.ru/media/upr_NIR/dis_sov/02/averkieva/24.04.2019_averkieva_dissertaciya.pdf]]
В основе иноязычной деятельности лежит развитие не только языковых и речевых способностей студента, но и таких психических процессов, как восприятие, внимание, память, а также совершенствование эмоциональной, мотивационно-побудительной сфер самой личности. Помимо этого, происходит повышение интереса к учебно-познавательной деятельности, что способствует адаптации обучающегося к процессу непрерывного самообразования и совершенствования языковой подготовки и, что важнее, формированию вторичной «языковой личности».
[[alg_dis_s25_4]]
По мнению многих исследователей (Г.И.Богин,1984; Ю.Н.Караулов,1989; И.И.Халеева,1989идр.),процесс обучения иностранному языку дол-жен оказывать такое воздействие на личность обучающегося, в результате которого она приобретает способность к использованию уже накопленного интеллектуально-познавательного потенциала для осознания средств познания чужой культуры и к созданию инструментов поиска, обработки и практического применения информации, необходимой для решения непредвиденных культурно-обусловленных ситуаций. Мы можем сделать вывод, что языковая личность может быть представлена в качестве субъекта, способного
[[alg_dis_s25_5]]
полноценно общаться на иностранном языке, создавать устные и письменные речевые произведения в соответствии с целями коммуникации, извлекать и воспринимать информацию.
[[alg_dis_s26_1]]
В контексте вторичной «языковой личности» необходимо уточнить определение иноязычной профессионально-коммуникативной компетенции и рассматривать ее как способность будущего выпускника технического вуза действовать в режиме вторичной языковой личности в профессионально-направленной ситуации общения.
[[alg_dis_s26_2]]
АВС - ассоциативно-вербальная сеть
Ю.Н. Караулов
[ext[ссылка|file:///D:\TRab\2020\02/ar_miskin.pdf]]
* [ext[ссылка 1 |https://rusneb.ru/catalog/000199_000009_006649484/viewer/]]
* [ext[ссылка 2|https://rusneb.ru/catalog/000199_000009_006649484/]]
* [ext[ссылка в библиотеку|file:///D:/BI/a_myskin_sv.pdf]]
! Автореферат
[ext[ссылка|https://new-disser.ru/_avtoreferats/01004873310.pdf]]
''Апробация работы''. Основные положения и выводы диссертационного исследования были изложены на научно-практических конференциях: «Межкультурная коммуникация: концепты и модели поведения» (Астрахань, 2007), «Наука. Образование. Молодежь» (Майкоп, 2008), «Гуманитарные исследования» (Астрахань, 2009), «Актуальные проблемы лингводидактики и лингвистики: сущность, концепции, перспективы» (Волгоград, 2008, 2009); на ежегодных научных конференциях в Астраханском государственном университете (2005-2010) и на научных семинарах кафедры английской филологии Астраханского государственного университета (2005-2010). По теме исследования опубликовано 12 работ объемом 4,7 п.л.
''Структура диссертации''. Работа состоит из введения, двух глав, посвященных общим принципам лингвокультурного моделирования концепта «Интернет», его понятийным, образным и ценностным характеристикам, заключения, библиографии.
ОСНОВНОЕ СОДЕРЖАНИЕ РАБОТЫ
В первой главе «Понятийные характеристики концепта "Интернет" в обиходном и профессиональном языковом сознании» рассматриваются понятия «языковое сознание» и «языковая личность»; определяются понятийные характеристики концепта «Интернет»; выстраивается фрейм концепта «Интернет»; описываются лексические единицы, объективирующие концепт «Интернет» в английском и русском языках.
Языковое сознание - часть сознания, обеспечивающая механизмы речевой деятельности, которое изучается через семантику языковых единиц, материализующих его в процессе номинации и коммуникации. Языковое сознание исследуется экспериментально, в частности, при помощи ассоциативного эксперимента, который позволяет выявить характер взаимодействия языковых единиц в различных процессах понимания, хранения и порождения речевых произведений.
Обиходное сознание отражает общественное бытие поверхностно, фиксируя его внешние, случайные признаки. Оно руководствуется здравым смыслом, житейским опытом, практикой.
Профессиональное языковое сознание отражает профессионально-ориентированную часть сознания, содержащего совокупность ког-
стр 6 Низ
нитивных образований, преломляющих знания, мнения, впечатления, возникающие у индивидов по поводу специфической, т.е. профессиональной, области действительности.
Под языковой личностью понимается совокупность способностей и характеристик человека, обусловливающих создание и восприятие им речевых произведений, которые различаются степенью структурно-языковой сложности, глубиной и точностью отражения действительности, а также определенной целевой направленностью (Ю.Н. Караулов). Главным признаком языковой личности является то, что она наделена языковым сознанием, реализующимся в речевой деятельности и являющимся важнейшим компонентом речевой организации человека.
Картина мира языковой личности складывается из различных понятий, концептов, идей, в том числе связанных со сферой профессиональных отношений данной личности. Профессиональное языковое сознание состоит из теоретических, научных, нормативных, ценностных и индивидуализированных представлений. Языковое сознание профессионала отличается от языкового сознания непрофессионала и профессионала другой сферы деятельности, поскольку в нем образуются особые «картины мира», в той или иной степени не доступные другим.
Понятийные характеристики концепта «Интернет» в русской и американской лингвокультурах могут быть представлены в виде базового фрейма: 1) система, которая выражается через понятия «система», «сеть»: а) средство доступа, которое выражается через понятие «компьютер»; б) характеристики, которыми обладает сеть Интернет, делятся на несколько групп: по параметру распространенности (глобальная, мировая), по параметру доступа к информации (общедоступная, открытая), по техническим параметрам (цифровая, компьютерная); в) функции, которые выражаются через понятия «коммуникация», «получение и обмен информацией»; 2) сфера «взаимодействие "человек - Интернет"»: а) процесс взаимодействия, выражающийся понятием «пользоваться»; б) форма взаимодействия, выражаемая понятием «соединение»; в) цель взаимодействия - поиск информации, развлечений, институциональное и межличностное общение; г) участники взаимодействия - пользователи, которые осуществляют доступ в Интернет посредством компьютера; д) результат взаимодействия, выражаемый как «информация»/«общение».
Фреймы исследуемого концепта, выстроенные на основе словарных дефиниций ключевых слов, объективирующих его в английском
стр 7
! Статья
ОБРАЗНОЕ ВОСПРИЯТИЕ КОНЦЕПТА «ИНТЕРНЕТ» В ПРОФЕССИОНАЛЬНОМ ЯЗЫКОВОМ СОЗНАНИИ [ext[ссылка|https://cyberleninka.ru/article/n/obraznoe-vospriyatie-kontsepta-internet-v-professionalnom-yazykovom-soznanii]]
[ext[ссылка|https://linguanet.ru/upload/medialibrary/014/014ce48d556ac4abc034f52e98bef729.pdf]]
2.1. Коммуникативно-деятельностные потребности в структуре языковой личности юриста как системное основание лингводидактической модели... ....................51
14.01.2020 Алейникова Дарья Викторовна Методика обучения юристов межкультурному профессиональному общению в условиях коллизии правовых культур (английский язык, магистратура)
[ext[ссылка ар|https://vak.minobrnauki.gov.ru/az/server/php/filer_new.php?table=att_case&fld=autoref&key[]=100044924&version=100]]
[ext[ссылка дис|https://linguanet.ru/upload/medialibrary/014/014ce48d556ac4abc034f52e98bef729.pdf]]
2.1. Коммуникативно-деятельностные потребности в структуре языковой личности юриста как системное основание лингводидактической модели
Включение личности в процессы общения определяется более широким, чем собственно коммуникация отношением между коммуникантом и объективной реальностью. По словам Ю.Н.Караулова, оно обусловлено не только и не столько коммуникативными факторами (например, коммуникативным намерением личности), сколько «всей парадигмой ее социально-деятельностного поведения, охватывающей также интенциональности, интересы, мотивы и ценности», что позволяет вести речь именно о коммуникативно-деятельностных потребностях личностии позиционировать их в качестве единиц высшего, мотивационного,
[[adv_dis_s51_4]]
уровня языковой личности [Караулов 2010, с.215]. Столь высокая оценка роли таких потребностей отнюдь не случайна: они не могут быть выведены непосредственно из единиц более низкого порядка, поскольку такой подход потребовал бы учета множества дополнительных факторов; при этом обратный вектор аргументации, по мысли этого ученого, вполне допустим. Таким образом, знание лексикона не обеспечивает непосредственный переход к тезаурусу; знание тезауруса, в свою очередь, не дает оснований для однозначных выводов относительно мотивов и целей, определяющих коммуникативно-деятельностные потребности личности. Умозаключения при подобном векторе анализа требуют привлечения экстралингвистической информации, а именно –включения в круг рассматриваемых вопросов, во-первых, социальной истории языковой личности, т.е. «истории языковой социализации личности», –для перехода от нулевого к первому уровню и, во-вторых, актуального социального функционирования личности, т.е. информации о ее референтных группах, ролях, –для перехода от тезауруса к мотивационному уровню [Караулов 2010, с.45–46]. В то же время ученый полагает, что знание коммуникативно-деятельностных потребностей личности, представляющих ее высший уровень, является весомым основанием для выводов в отношении нижележащих компонентов структуры, поскольку в этом случае в достаточной степени определена ценностно-смысловая иерархия понятий языковой личности[Там же].
[[adv_dis_s52_1]]
Выводы Ю.Н.Караулова открывают большие возможности для развития теории и практики обучения ИЯ, поскольку при таком подходе становится возможным аргументированно проектировать модель обучения межкультурному иноязычному общению, опираясь на системообразующие начала в структуре языковой личности –представителя не только определенной лингвокультуры, но и профессиональной культуры, развивающейся в конкретных национально-культурных и социокультурных обстоятельствах. В этом ключе при обосновании лингводидактической концепции интернационализации профессиональной подготовки современного специалиста неязыкового профиля были получены данные о принципиальной возможности опережающего развития мотивационно-
[[adv_dis_s52_2]]
личностного аспекта профессионального сознания личности средствами предмета «Иностранный язык» [Яроцкая 2013]. Последующие исследования подтвердили, что любая социальная группа, объединяющая людей одной профессии в определенном лингвосоциуме, в значительной мере исходит из общей для членов этого сообщества системы профессиональных / институциональных ценностей, интенциональностей, потребностей, что и позволяет создавать модели обучения межкультурному иноязычному профессиональному общению за счет экспликации и учета ценностно-смысловой детерминанты профессиональной деятельности [Титкова 2015, с. 44].
[[adv_dis_s53_1]]
Приведенное определение коммуникативно-деятельностной потребности юриста,при его конкретизации с учетом понятия «правовая культура», очевидно, ориентируют нас на продукты высокой социальной значимости, включая стереотипы профессиональной деятельности, взаимодействия, поведения, а значит прежде всего –нормы и ритуалы деятельности в юридической сфере; продукты вербальной коммуникации, обусловливающие специфику трудообмена в данной социальной сфере и формирующие особый предметно-специализированный код отражения действительности, что, с нашей точки зрения, находит выражение в прецедентных текстах правовой культуры–вывод, вполне согласующийся с мнением Ю.Н.Караулова, считающего «необходимым говорить о коммуникативно-деятельностных потребностях личности как основных единицах мотивационного уровня, лингвистическим коррелятом которых могут служить, в частности, образы прецедентных текстов» [Караулов 2010, с.215] (Выделено курсивом нами. –Д.В.Алейникова). В этой связи при обучении межкультурному профессиональному общению юристов в условиях коллизии правовых культур считаем целесообразным сосредоточиться именно на ценностно-смысловых детерминантах, определяющих специфику потребностей представителей разных правовых культур.
[[adv_dis_s60_2]]
22.03.2019 Амелина Ирина Олеговна Интегративная модель обучения иностранных студентов русской деловой коммуникации на основе кейс-технологии и медиаресурсов (направление "Экономика", уровни В1-В2)
[ext[ссылка dis|http://dissovet.rudn.ru/web-local/prep/rj/dis/download.php?file=a9d7eada2905fb641016548b3f5a73f53857]]
[ext[ссылка ар|http://dissovet.rudn.ru/web-local/prep/rj/dis/download.php?file=e37a75cc9f6e1dcf36549ae12e760f385979]]
2.2.3. Формирование поликультурной языковой личности делового человека как воспитательная цель профессионально-коммуникативной подготовки иностранных специалистов в вузах РФ
[[aio_dis_s3_2.2.3.]]
Языковая среда, окружающая человека в процессе его абилитации в социуме, формирует его языковую личность с ее речевой культурой, коммуникативной и лингвистической компетентностью.
[[aio_dis_s112_7]]
! Среда и языковая личность (РУДН)
[[Элементы среды РУДН]]
! Языковая личность
Общее
| ! [[Филологи|Филологи.Анализ]] | ! [[Дидакты|Дидакты.Анализ]] | ! [[Философы|Философы.Анализ]] | ! [[Психологи|Психологи.Анализ]] | ! [[Культурологи|Культурологи.Анализ]] | ! [[Социологи|Социологи.Анализ]] |
По году защиты
| ! [[Филологи|Филологи.Анализ.Год защиты]] | ! [[Дидакты|Дидакты.Анализ.Год защиты]] | ! [[Философы|Философы.Анализ]] | ! [[Психологи|Психологи.Анализ]] | ! [[Культурологи|Культурологи.Анализ]] | ! [[Социологи|Социологи.Анализ]] |
Дополнительно
* [[Диссертации за 2016 год]]
* [[Диссертации за 2017 год]]
* [[Диссертации за 2018 год]]
* [[Диссертации за 2019 год]]
* [[Другие диссертации]]
* [[Дидакты.Анализ.Профи]]
* [[Филологи.Анализ.Профи]]
! Тезаурус
* [[Вейдт В. П.]]
* [[Шилова О.Н.]]
Аналоговые процессы в лингвокреативной деятельности языковой личности
Коллективная монография
Аналоговые процессы в лингвокреативной деятельности языковой личности: коллектив. моногр. / отв. ред. Е. Н. Азначеева. — Челябинск : Изд-во Челяб. гос. ун-та, 2017. 208 с.
ISBN 978-5-7271-1463-6
[ext[ссылка|https://www.academia.edu/35929498/%D0%90%D0%BD%D0%B0%D0%BB%D0%BE%D0%B3%D0%BE%D0%B2%D1%8B%D0%B5_%D0%BF%D1%80%D0%BE%D1%86%D0%B5%D1%81%D1%81%D1%8B_%D0%B2_%D0%BB%D0%B8%D0%BD%D0%B3%D0%B2%D0%BE%D0%BA%D1%80%D0%B5%D0%B0%D1%82%D0%B8%D0%B2%D0%BD%D0%BE%D0%B9_%D0%B4%D0%B5%D1%8F%D1%82%D0%B5%D0%BB%D1%8C%D0%BD%D0%BE%D1%81%D1%82%D0%B8_%D1%8F%D0%B7%D1%8B%D0%BA%D0%BE%D0%B2%D0%BE%D0%B9_%D0%BB%D0%B8%D1%87%D0%BD%D0%BE%D1%81%D1%82%D0%B8.pdf]]
3
Содержание
* Матвеева Т. М., Гордеева К. О. Номинативный потенциал структурно-семантическойаналогии в профессиональной коммуникации ............................5
* Жунусова Ж. Н., Ермакова В. А. Аналогия в паремиях с когнитивно-культурнымкомпонентом «свой — чужой»(на материале русских и английских словарей) .........................53
* Ковальчук Л. П. Аналоговые основы концептуальной интеграциив американской политической рекламе .......................................81
* Азначеева Е. Н. Аналогия как средство речевого воздействияв публицистическом дискурсе ......................................................109
* Салахова А. Г.-Б. Аналогия в речевой деятельности конфессиональной языковой личности ..........................................................................141
* Котлярова Т. Я., Нефёдова Л. А. Аналогово-когнитивная природа восприятия и понимания художественного текста ........................................181
[ext[ссылка|http://iovrao.ru/uf/editor/File/contents/Resource/043_Prakticheskaya_andragogika_Kniga-1.pdf]] Практическая андрагогика
[[Андреева С.М.]]
Андреева С.М. [[Формирование коммуникативной культуры "вторичной" языковой личности иностранных студентов-филологов в процессе обучения русскому языку (подготовительный факультет)]]
* {{asm_ar_s2_6}}*[[asm_ar_s2_6]]
* {{asm_ar_s3_1}}*[[asm_ar_s3_1]]
* {{asm_ar_s3_2}}[[asm_ar_s3_2]]
* {{asm_ar_s7_2}}*[[asm_ar_s7_2]]
Рассматривается интегральное качество «вторичной» языковой личности иностранных студентов-филологов - коммуникативная культура.
[[asm_ar 1]]
ФОРМИРОВАНИЕ КОММУНИКАТИВНОЙ КУЛЬТУРЫ "ВТОРИЧНОЙ" ЯЗЫКОВОЙ ЛИЧНОСТИ ИНОСТРАННЫХ СТУДЕНТОВ-ФИЛОЛОГОВ В ПРОЦЕССЕ ОБУЧЕНИЯ РУССКОМУ ЯЗЫКУ (ПОДГОТОВИТЕЛЬНЫЙ ФАКУЛЬТЕТ) [[Андреева]] С.М. диссертация на соискание ученой степени кандидата педагогических наук / Белгородский региональный институт повышения квалификации и профессиональной переподготовки специалистов. Белгород, 2003 13.00.02
[[Формирование коммуникативной культуры "вторичной" языковой личности иностранных студентов-филологов в процессе обучения русскому языку (подготовительный факультет)]]
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=836001]]*[ext[ссылка ar|https://new-disser.ru/_avtoreferats/01003296774.pdf]]
11.12.2019 Анисина Юлия Викторовна Формирование профессионально-коммуникативной компетенции иностранных военнослужащих с учётом культуроведческого компонента курса русского языка
[ext[ссылка dis|http://mpgu.su/wp-content/uploads/2019/09/%D0%94%D0%98%D0%A1%D0%A1%D0%95%D0%A0%D0%A2%D0%90%D0%A6%D0%98%D0%AF-%D0%90%D0%9D%D0%98%D0%A1%D0%98%D0%9D%D0%9E%D0%99-%D0%AE.%D0%92..pdf]]
2.2.1. Лексические особенности профессионально ориентированных культуроведческих текстов авиационной тематики
В проекте лингводидактической программы по РКИ для обучения иностранных военнослужащих предложено следующее уточнение формулировки конечной цели обучения РКИ в высших военно-учебных заведениях РФ: «формирование коммуникативной компетенции иностранных военнослужащих как комплекса знаний, навыков и умений, определяющих способность и готовность личности осуществлять речевую/текстовую деятельность, речевое общение на
[[ayuv_dis_s35_3]]
русском языке, а также формирование вторичной культурно-языковой личности обучаемых» [Краснопёрова, Токарева, 2011, с.8]
[[ayuv_dis_s36_1]]
Аннотация:
Рассматривается формирование языковой личности иностранного студента в российском техническом университете. Актуальность исследования обусловлена привлекательностью технического образования в российских вузах для студентов, прибывающих из стран Африки. Новизна проведенного исследования связана с тем, что некоторые арабоязычные студенты хорошо владеют французским языком, который является в их государствах языком межнационального общения. Данное положение послужило основанием привлечения к процессу преподавания русского языка преподавателей французского языка, которые используют его в качестве языка-посредника. Наряду с существующими учебниками русского языка для лиц, говорящих на французском языке, используются учебно-методические разработки, составленные по проблематике университета в сфере градостроительства. Студентам предлагаются параллельные тексты на французском и русском языках по материалам научно-популярных статей, справочников, медиатекстов, документальных текстов, содержащих актуальную информацию по градостроительству, а также серия упражнений по различным аспектам языка. В качестве методологической основы проводимого исследования выступает теория языковой личности, лингвоперсонологии, теория вторичной языковой личности, документная лингвистика. Согласно концепции вторичной языковой личности овладение иностранным языком способствует формированию вторичной языковой профессиональной личности, готовой к коммуникации и саморазвитию. Цель проводимого исследования – выявить особенности формирования текстовой компетенции студентов на занятиях по русскому языку как иностранному (РКИ) с опорой на язык-посредник. В работе формирование текстовой компетенции расценивается как неотъемлемый компонент формирования языковой личности в целом. В качестве практического результата работы рассматривается разработка проекта учебного пособия для студентов, содержащего тексты на французском и русском языках по проблемам градостроительства, где лингвистические особенности и лингвокультурологические комментарии к русскоязычным текстам представлены на французском языке, что поможет студентам в освоении РКИ.
Ключевые слова: языковая личность, язык-посредник, французский язык, арабский язык, русский язык, обучение РКИ.
(Представлен анализ феномена креативности в трудах отечественных и зарубежных ученых. Особое внимание уделяется факторам проявления креативности в различные периоды онтогенеза и характеристике условий, необходимых для формирования креативной личности. На основе ретроспективного анализа и обобщения концептуальных подходов к изучению параметров креативности выявлены критерии, по которым можно определять уровень развития креативной личности )
=F12Q>Iwe}CY
[ext[ссылка|https://www.antiplagiat.ru/]]
11.12.2019 Антипова Наталья Борисовна Развитие навыков говорения с использованием визуальных опор на начальном этапе обучения русскому языку как иностранному в полилингвальной аудитории
[ext[ссылка dis|http://mpgu.su/wp-content/uploads/2019/09/%D0%90%D0%BD%D1%82%D0%B8%D0%BF%D0%BE%D0%B2%D0%B0-%D0%9D.%D0%91.-%D0%98%D0%B2%D0%93%D0%A3-%D0%94%D0%98%D0%A1%D0%A1%D0%95%D0%A0%D0%A2%D0%90%D0%A6%D0%98%D0%AF-%D0%BA.%D0%BF%D0%B5%D0%B4.%D0%BD.pdf]]
Обучение языку в рамках того или иного подхода напрямую зависит от целей обучения. Сегодня главными целямиобучения иностранному языку являются:–формирование межкультурной коммуникативной компетенции, т.е. способности общаться с носителями другогоязыка и иной культуры;–формирование у учащихся черт вторичной языковой личности, что позволит учащемуся участвовать в межкультурном общении [Гальскова 2000: 61; Щукин 2003: 109-111];–развитие и воспитание в процессе обучения компетентной иноязычной языковой личности, т.е. такой личности, языковой уровень которой позволит осуществлять иноязычное общение с носителями изучаемого иностранного языка, а сформированная компетентность обеспечит социальную адаптацию в мире [Дейкина 2019: 205-209; Основы межкультурной дидактики2015: 27];–формирование готовности к пониманию и диалогу с представителями других культур.Как видно из перечисленных целей, ключевыми понятиямиявляются межкультурная коммуникативная компетенцияи языковая личность. На наш взгляд, осуществление данных целей возможно в рамках межкультурного,компетентностного, коммуникативно-деятельностногои личностно ориентированного подходов.
[[anb_dis_s21_3]]
[[Статья.Дидактика 1]]
[[Статья 0]]
[[Статья 01]]
[[Статья 02]]
[[Дорожкина]]
[[Статья доп материал]]
Астраханцев Никита Александрович. Методы и программные средства извлечения терминов из коллекции текстовых документов предметной области.
[ext[ссылка|https://vak.minobrnauki.gov.ru/az/server/php/filer_new.php?table=att_case&fld=autoref&key[]=185164&version=100]]
[[Термины]]
| [[Ба]] | [[Бе]] | [[Би]] | [[Бо]] | [[Бр]] | [[Бу]] |
Башкова Ирина Венадьевна
!! ТЕОРЕТИЧЕСКИЕ ОСНОВАНИЯ РУССКОЙ СЕМАНТИЧЕСКОЙ ПЕРСОНОЛОГИИ: ОБЪЕКТ И МЕТОД
[ext[ссылка|http://research.sfu-kras.ru/sites/research.sfu-kras.ru/files/Dissertaciya_Bashkova.pdf]]
!!защита
```
* {{biv_dis_10_2_0}}*[[biv_dis_10_2_0]]
* {{biv_dis_10_2_1}}*[[biv_dis_10_2_1]]
* {{biv_dis_10_2_2}}*[[biv_dis_10_2_2]]
* {{biv_dis_10_2_3}}*[[biv_dis_10_2_3]]
```
---
```
*{{biv_dis_22_2}}*[[biv_dis_22_2]]
*{{biv_dis_22_3}}*[[biv_dis_22_3]]
*{{biv_dis_23_1}}*[[biv_dis_23_1]]
*{{biv_dis_23_2}}*[[biv_dis_23_2]]
*{{biv_dis_23_3}}*[[biv_dis_23_3]]
```
```
*{{biv_dis_24_1}}*[[biv_dis_24_1]]
*{{biv_dis_24_2}}*[[biv_dis_24_2]]
```
---
*{{biv_dis_29_3_0}}*[[biv_dis_29_3_0]]
*{{biv_dis_29_3_1}}*[[biv_dis_29_3_1]]
*{{biv_dis_29_3_2}}*[[biv_dis_29_3_2]]
*{{biv_dis_29_3_3}}*[[biv_dis_29_3_3]]
---
*{{biv_dis_30_2}}*[[biv_dis_30_2]]
БЕРГ ЕЛЕНА БОРИСОВНА , КИТ МАРК
ФОРМИРОВАНИЕ ИНОЯЗЫЧНОЙ ЛЕКСИЧЕСКОЙ КОМПЕТЕНЦИИ СРЕДСТВАМИ ОБУЧАЮЩИХ СЛОВАРЕЙ LEXTUTOR
* [ext[ссылка eLb|https://www.elibrary.ru/item.asp?id=41279723]]
Применение обучающих средств Lextutor для изучения иноязычной лексики
* [ext[ссылка KL|https://cyberleninka.ru/article/n/primenenie-obuchayuschih-sredstv-lextutor-dlya-izucheniya-inoyazychnoy-leksiki]]
*Березовская Я. Организационный дискурс коммерческих фирм [ext[ссылка|https://new-disser.ru/_avtoreferats/01005381998.pdf]]
[ext[ссылка НЭБ|https://viewer.rusneb.ru/ru/000199_000009_005381998?page=1&rotate=0&theme=white]]
*[ext[ссылка в Dis9|file:///E:/Dis/Dis9]]
Дацун Н.А. Билингвальная подготовка будущего юриста как профессиональной языковой личности (на материале изучения английского языка): автореф. дис. … канд. пед. наук. – Майкоп, 2007. – 23 с.
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=842805]]* [ext[ссылка ар|https://new-disser.ru/_avtoreferats/01003375773.pdf]]
*{ {dna_ar_s3_4}}*[[dna_ar_s3_4]]
{ {dna_ar_s4}}*[[dna_ar_s4]]
{{dna_ar_s5}}*[[dna_ar_s5]]
{ {dna_ar_s6}}*[[dna_ar_s6]]
{{dna_ar_s7}}*[[dna_ar_s7]]
{ {dna_ar_s8}}*[[dna_ar_s8]]
{ {dna_ar_s9}}*[[dna_ar_s9]]
{ {dna_ar_s10_1_2}}*[[dna_ar_s10_1_2]]
{ {dna_ar_s10_3}}*[[dna_ar_s10_3]]
{ {dna_ar_s11}}*[[dna_ar_s11]]
{ {dna_ar_s16_2}}*[[dna_ar_s16_2]]
[ext[ссылка|https://mylektsii.ru/2-86969.html]]
СОВРЕМЕННАЯ ЛИНГВОДИДАКТИКА
Калинин - 1980
Учебное пособие “Современная лингводидактика” посвящено одной из лингвистических дисциплин - теории языка как развивающейся функции человеческой личности. Кратко освещается центральное понятие лингводидактики - языковая личность. Уделяется внимание лингводидактической проблематике языковой личности в связи с овладением первым языком, лингводидактической трактовке высших умений в языке и смежным вопросам. Дается обзор современных направлений в лингводидактике - феноменологического, герменевтического и риторического.
Пособие предназначено для студентов филологических специальностей.
Научный редактор - доктор филологических наук, профессор Ю.В. Рождественский.
*ОГЛАВЛЕНИЕ
· Лингводидактика и ее основные понятия.
· Лингводидактическая проблематика языковой личности в связи с овладением первым языком.
· Риторический аспект лингводидактики и его место в современной идеологической борьбе.
· Литература.
!!ЛИНГВОДИДАКТИКА И ЕЕ ОСНОВНЫЕ ПОНЯТИЯ
Язык, речь есть свойство общественного человека, и это общеизвестно, но во множестве случаев лингвист должен абстрагировать свой предмет от человека, понимая при этом, что язык существует лишь постольку, поскольку существуют люди, которые знают этот язык. Однако в том случае, когда язык берется как усваиваемая функция и формируемая способность человека, такая абстракция невозможна. Язык, взятый в абстракции от развивающегося человека, и язык, взятый как сторона человеческой личности, - разные предметы исследования, хотя изучаемый объект - язык - остается одним и тем же.
Это различие не осталось не замеченным в науке последнего десятилетия, что привело к выделению лингвистической дисциплины - лингводидактики. Лингводидактика - теория языка как развивающейся функции человеческой личности - выступает одновременно и как общая теория овладения и владения языком в условия обучения. Лингводидактика не есть “обоснование” той или иной частной языковой методики, она говорит об овладении любым языком, вне зависимости от того, выступает ли этот язык в качестве первого или второго. Вместе с тем разработка лингводидактики имеет прикладное (педагогическое, методическое) значение. Частные языковые методики не могут базироваться лишь на теории языка, их развитие становится невозможным без “теории приобретения” языка, без своего рода лингвистической антропологии, выступающей как “метатеория”, разрабатывающая модус производства методик обучения языкам.
Центральным понятием лингводидактики является языковая личность - человек, рассматриваемый с точки зрения его готовности производить речевые поступки. Очевидно, здесь берется лишь одна сторона личности как объекта.
“Человеческий фактор” - “один из компонентов существования языка” [30:91], и поэтому понятие “языковая личность” принадлежит лингвистике, а не психологии. Языковая личность - тот, кто присваивает язык, т.е. тот, для кого язык есть речь.
Языковая личность характеризуется не столько тем, что она знает в языке, сколько тем, что она может с языком делать. С точки зрения лингводидактики весьма существенно, на что способен, к каким речевым поступкам готов носитель языка. Эта готовность жизненно важна, и человек психически формируется в связи с формированием этой готовности. В массовых учебных пособиях по психологии традиционно приводится схема “мозгового человечка”, на которой органы человека показаны в размерах, пропорциональных величине проекционных полей мозга. Эта схема убедительно показывает, насколько велика площадь проекции органов речи на мозг (половина всей площади). Это не случайно: развитие человека как языковой личности - результат всей общественно-трудовой истории человеческого рода. Владение языком - институирующая черта языковой личности - есть единственное средство переноса действия в умственный план, гарантия продвижения человека по пути саморегуляции поведения, форма организации психической жизни человека. Человек не может быть личностью, не будучи, в частности, и языковой личностью. Прикладная цель лингводидактики заключается в том, чтобы выяснить, в какой мере путь образования и способ существования структуры языковой личности может быть усовершенствован в заданных условиях или воспроизведен в других условиях.
Социальный смысл этой задачи был впервые прояснен основоположниками марксизма, у которых интересующая нас сторона личности - способность и готовность пользоваться языком - получила оценку как “продукт рода”, который люди “раньше или позже ... возьмут под свой контроль” наряду с другими продуктами человеческой исторической практики [2:427]. Именно эта позиция служит основанием для лингводидактического исследования языковой личности в целях практического планомерного регулирования ее параметров. Социально-педагогический смысл такого подхода ясен: если личность есть “мера присвоения человеческим индивидом своей социальной сущности” [24:19], то это верно и для языковой личности. Лингводидактика должна выступить как теория массовой подготовки человеческих индивидов, присвоивших все компоненты языковой личности как родовой способности. Человек обладает родовой способностью быть языковой личностью, но каждый индивид еще должен стать ею. К сожалению, понятие “языковая личность” во множестве работ подменяется общим представлением о наблюдаемом индивиде - носителе того или иного 5языка, и это приводит к примитивации понятия, к осмыслению его в качестве набора индивидуальных и, как правило, элементарных примеров. Это тот случай, когда наблюдаемые явления хорошо известны, но настолько непонятны, что люди даже не догадываются об этой непонятности. Отсюда - распространенно
е обывательское представление о “простоте” языковой личности, теоретически поддерживаемое современным позитивизмом. Отсюда же - и наивные “педагогические” построения о “простоте” “полного” научения языку. Наблюдения над человеческой деятельностью показывают, однако, что языковая личность не обладает “простотой” и вообще не поддается позитивистской трактовке.
Человек, полностью готовый осуществлять - применительно к каждому данному языку - всю человеческую родовую способность производства речевых поступков, т.е. “идеальная языковая личность”, есть научная фикция, могущая, впрочем, быть полезной в исследовательских и проектно-программных операциях. В связи с этим лингводидактика соотносит с понятием “языковая личность” понятие “относительно полное владение языком”. Однако относительное, применимое к индивидуальным случаям, целесообразно сверять с абсолютным, родовым. Отталкиваясь от “идеальной языковой личности”, можно перейти к описанию, во-первых, типов тех обстоятельств, которые ограничивают полноту владения языком, во-вторых, тех противоречий, которые сопутствуют всякому шагу к полноте (хотя бы и относительной).
Относительность полноты владения языком (в частности, родным) замечена давно, но обстоятельства, ограничивающие полноту, стали выявляться лишь в последние годы. В каждую эпоху существования каждого языка бытует определенный упорядоченный набор видов речевых произведений, характерный для людей, владеющих данным языком с относительной полнотой. Назовем этот набор “видами словесности”. Виды словесности - продиктованная исторической человеческой деятельностью группировка произведений речи как совокупности всего сказанного и написанного или могущего быть сказанным и написанным. Набор видов словесности меняется от эпохи к эпохе, от языка к языку, и никакое приближение реального человека к статусу идеальной языковой личности не приводит его к владению всеми существующими в мире видами словесности. Это очень важно при решении собственно дидактических задач лингводидактического знания. Разумеется, решение вопроса о том, следует ли вводить в обучение того или иного контингента учащихся тот или иной вид словесности, 6принадлежит частным методикам. Лингводидактика может лишь дать основания для обозрения видов словесности и наметить методологию их выбора в учебных целях. Отметим попутно, что близко к решению вопроса об обозрении видов словесности стоит “теория тагмем” Кеннета Пайка - попытка объединить в целях исследования все типы речевых произведений человека “от звука до сонета” [93], от артикуляторного акта до церковной службы [92].
Оперируя понятиями “языковая личность”, “относительная полнота владения языком” и “виды словесности”, лингводидактика может разработать понятие “выделение языка как учебного предмета”. С первого взгляда это понятие может показаться относящимся к частным методикам. Однако частные методики решают вопрос о том, как учить, а не чему учить. Ответ на последний вопрос заключен (пока что в скрытой форме) в фундаментальных науках и их прикладных перевоплощениях. Например, методика преподавания химии может разработать наилучшие способы введения в память восьмиклассников любых деталей технологического процесса по производству серной кислоты, но для того чтобы решить, нужно ли эту информацию вообще “вводить” в массовой школе, следует быть не методистом, а химиком, знакомым с современной инженерной деятельностью, а также со структурой деятельности современного человека вообще.
Эмпирическое выделение учебного предмета частными методистами обычно основано на общих представлениях о предполагаемых результатах, а не на научных понятиях, и в последнее время все чаще раздаются голоса, настаивающие на том, что выделением языка как учебного предмета должна заниматься не частная методика, а лингводидактика. Лишь лингводидактика в состоянии упорядоченно описать как возможность относительной полноты владения языком, так и ограничения и спецификации этой полноты, связанные, во-первых, с различиями видов словесности в разных языках и в разных вариантах функционирования языковых личностей; во-вторых, с расхождениями между относительной полнотой языковой личности и возможными целями обучения; в-третьих, с зависимостью выбора видов словесности от уровня, уже достигнутого или еще не достигнутого языковой личностью в процессе обучения языку или в процессе “естественного” овладения языком; в-четвертых, с противоречиями в процессе формирования языковой личности. Все эти вопросы пока не решены, и народное образование терпит в этой связи значительный урон. Например, удивительный разнобой в определении содержания родного языка как учебного предмета царит в развитых капиталисти7ческих странах. В ФРГ содержание этого предмета, по крайней мере, признается неустановленным, не решено даже, составляют ли язык и литература один учебный предмет или два. Методисты и лингвисты стран английского языка ограничиваются замечаниями такого рода, что языкознание есть наука и поэтому его надо изучать в школе или что “изучение родного языка - это познание самого себя”. В сотнях двухгодичных колледжей США доля лингвистики, литературы, грамматики, практики речи в предмете “английский язык (родной)” колеблется от колледжа к колледжу в ошеломляюще широких пределах, но никто не знает, что дала бы унификация программ, коль скоро унифицировать пришлось бы тоже по варианту, который никто не в состоянии обосновать.
Первым шагом к обоснованию содержания языковых учебных предметов может послужить структурная модель языковой личности - ориентир для всех частных языковых методик. Такая модель должна дать представление не о “знании языка”, а о “владении языком”, о готовности им пользоваться. Попытки разработать такую модель предпринимались в последние годы [16].
Объективные исследования последних десятилетий создали величественную панораму языковой личности - системы исключительной сложности, феномена огромного содержания, реализующегося в развитом индивиде в форме владения очень значительной информацией. Для регулярного чтения серьезной газеты надо знать 50 тысяч слов [74:127], и с этой цифрой сопоставима цифра 10 тысяч слов [столько ребенок знает в шестилетнем возрасте - см. 102], или цифра 1041 - синтаксическая модель [таким числом конструкций в родном языке продуктивно владеет ученик шестого класса - см. 105]. Очень велик и продуктивный лексический запас в бытовом речевом общении - от 4,5 до 7,5 тысячи слов [65], а так называемая “рецептивная лексическая компетенция” настолько велика, что не вмещается в словари [90]. Отмечается почти необозримое семантическое многознание языковой личности, стилистическое многознание, владение множеством пресуппозиций.
Изучение сложности и многокомпонентности системы языковой личности привело многих авторов (экспериментаторов) к выводу, что сложность может не только затруднять, но и облегчать становление этой системы в человеческом индивиде. Значительная лингводидактическая литература посвящена наблюдениям над взаимопомощью между отдельными компонентами языковой личности. Более 40 лет назад было отмечено положительное влияние владения нормами 8орфографии на внимание при выборе слов. Последующие наблюдения показали, что готовность к письменной речи положительно коррелирует со способностью к устной речи. Подобных частных корреляций в структуре языковой личности было за пятьдесят лет обнаружено очень много. Создается впечатление, что в структуре языковой личности развитие почти любой частной готовности к речевым поступкам ускоряет и улучшает вое другие готовности.
Разумеется, редукционизм в лингводидактике не считается с подобными данными и утверждает, например, что “язык для чтения” строится “на использовании глаз” и, следовательно, “независим от речи”. Данные современной психологической науки никак не согласуются с современным редукционизмом, а, напротив, доказывают сложность, системность и внутреннюю взаимообусловленность языковой личности.
Многознание в области средств выражения и общения позволяет языковой личности в ходе своего развития обрести некоторую свободу выбора форм и широту взглядов на способы построения текста. Экспериментально показано, что фетишизация “правильности”, строгость в оценке “допустимости”, пуризм в отношении произведений речи на языке Л падает в такой последовательности, в зависимости от того, кто дает оценку “допустимости” [95]:
а) не-лингвисты - носители языка не-Л;
б) лингвисты - носители языка не-Л;
в) не-лингвисты - носители языка Л;
г) лингвисты - носители языка Л.
Для развитой языковой личности культура речи заключается в разнообразии ее возможностей, а не в фетишизированном единообразии. Именно с выбора средств выражения начинается реализация творческой, созидательной потенции языковой личности и одновременно реализация прогресса в языке. Действительно, здесь языковая личность далеко уходит от способности лишь обозначать к способности еще и адекватно выражать, равно как и критиковать неадекватность выражения. Наблюдение над языковой личностью способствовало закреплению в науке понятия “подъязыки и их стили”, с помощью которого можно объяснить, почему “одно и то же” сообщение можно сделать, не сохранив в “синонимических речениях” ни одного общего слова.
Овладев свободой в области выбора средств выражения, языковая личность оказывается на том этапе развития, который требует единства реализации коммуникативной и эстетической функций языка, вообще единства всех функций языка в речевой деятельности. Предметно-изобразительная, выразительная, конативно-аттрактивная, фатическая, 9эстетико-поэтическая, металингвистическая функции выступают для сильно развитой языковой личности не как цели сообщения, а как разные аспекты единого подхода к нему. Усмотрев необходимость и обретя определенную свободу в выборе формы, языковая личность стремится сделать так, чтобы форма текста максимально рефлектировалась в содержании, выступала не только как его соответствие, но и как его часть.
Реализация новых возможностей, возникающих благодаря развитию языковой личности, происходит, естественно, в речевых произведениях. В конце прошлого и начале нынешнего века исследователям казалось, что “идеальное целое” для реализации этих возможностей языковой личности есть “продукт концептуального мышления”, возникающий при оптимальном соединении содержательно адекватных предложений, состоящих из содержательно адекватных слов. К середине XX века стало ясно, что такой подход связан, во-первых, с общей недооценкой синтаксиса как средства манифестации языковой личности, во-вторых, с ошибочной оценкой предложения как минимального текста, в котором могут быть раскрыты все возможности языковой личности.
Рассмотрение синтаксического единства, превышающего границы предложения, имеет длительную традицию, восходящую, безусловно, к решению лингводидактических задач. Уже А.В. Добиаш [15] обращал внимание учителей-словесников на необходимость учебной работы с группой семантически связанных предложений. Школа нуждалась в разработке понятий “абзац”, “сложное синтаксическое целое” - и лингвистика выполнила эту разработку. Лингвистические исследования данного направления раскрыли некоторые черты развитой языковой личности. Вопреки бытовавшему первоначально мнению, что сложное синтаксическое целое (“абзац”) - феномен лишь письменной речи, выяснилось, что “абзац” присущ и устной речи развитой языковой личности; в частности, “абзац” имеет не только синтаксическую, но и ритмико-интонационную структуру. Изучение действительной сегментации речи показало недостаточность понятия “предложение” для изучения речевой деятельности [92]. Эксперименты с наборами бессмысленных слов для составления текстов показали, что развитые носители языка составляют даже бессмысленные тексты с характерным для абзаца “сцеплением” [52].
Большой отклик в лингводидактике имели работы Ф. Кристенсена [напр., 53], экспериментально установившего, что деление на абзацы одинаково выполняется разными людьми, и работы его оппонен10тов, показавших [77] противоположные случаи в условиях несовпадения субъективных установок. Обе спорящие стороны фактически подтвердили то положение, что “абзац” - не “искусственная” структура письменно-печатной деятельности, а форма организации речевого произведения, совершенно необходимая для существования развитой языковой личности. В абзаце “бессмысленные” (с точки зрения умозрительной теории “порождения” Н. Хомского) предложения выступают как “осмысленные”, оптимальные (с точки зрения развитой языковой личности).
“Абзац”, как и предложение, не является ни предельным, ни универсальным форматом для изучения языковой личности. В течение последнего десятилетия предложению был противопоставлен не только “абзац”, но и “целый текст”. Для изучения “целого текста” возникла новая отрасль языкознания - “лингвистика текста” - своеобразная реакция на традиционное представление о предложении как основной единице при изучении речевой деятельности. Лингвистика текста позволяет изучать не только все средства связи в тексте, но и многие характеристики коммуникантов.
Содержательность присутствует в целом тексте трижды - как содержательность предметная (содержательность отражения действительности), как содержательность формальная (рефлектирование формы в содержании) и как содержательность субъективная (содержательность личности продуцента, опредмеченная в тексте). Фигуративность, контраст, эмфаза, косвенное описание, сравнение, выявляющее малозаметные черты, ссылки к чему-то ради напоминания о чем-то, придумывание и варьирование субституентов для передачи отличия действительного содержания от содержания, потенциально предполагаемого собеседником, - таков “инструментарий” языковой личности при передаче всей этой содержательности. “Инструментарий”, не вмещающийся в формат предложения, необходим для того, чтобы целый текст приживался как “хорошо сделанный”.
Языковая личность, достигшая способности свободно оперировать целым текстом, начинает “нарушать правила” - во всяком случае многие из тех правил, которые предписывались ей в самом начале ее развития. Когда это делается намеренно, получается нарушение среднестатистических норм сочетаемости, актуализация средств выражения. При этом актуализируется не только форма выражения, но и содержательность сообщения. Максимум результатов формирования целого текста достигается, если избираемые субституенты минимально соответствуют ожидаемому контексту.
11Эстетизирующая тенденция языковой личности, свободно оперирующей целым текстом, реализуется в том, что изобразительность и выразительность во множестве случаев становятся чертами речи, не претендующей на художественность. Овладение стилями, вообще выразительными возможностями ряда подъязыков (особенно подъязыка разговорной речи и языка художественной литературы) подводит языковую личность к свободному оперированию двумя противоположными тенденциями человеческой речи - экспликационной и импликационной [34, 11], что способствует огромной вариативности всех вообще текстов, доступных языковой личности в продуктивной или рецептивной форме.
Все эти достижения языковой личности соотносительны с ростом информативности, содержательности сообщений. Количество единиц передаваемой информации в ряде видов словесности, актуальных для высокоразвитой языковой личности, перерастает количество дискретных единиц, содержащихся в целом тексте. Еще в XIX веке с этой нехваткой дискретных единиц текста столкнулись авторы художественной прозы, что привело к “смысловой многорядности” художественной речи (Б.А. Ларин, 1923) [26] и одновременно - к появлению “партитурной организации речевой цепи” [4:100]. При такой организации целого текста совокупный смысл образуется благодаря одновременному воздействию на реципиента ряда “строк партитуры”, каждая из которых несет свой более частный смысл. Эти частные смыслы “могут даже специально не восприниматься партнерами акта коммуникации, не служить прямым предметом мысли”, но воздейственность их несомненна [3:41].
Таким образом, то обстоятельство, что коммуникативной единицей оказывается текст больший, чем одно предложение, выступает как фундаментальный факт высшего развития языковой личности, а отсюда - и как важный факт развития культуры. Например, начиная с Диккенса и Достоевского писатели стали применять, а читатели понимать “принцип полифонии” в художественном тексте; сама возможность этого понимания возникла благодаря тому, что для значительных масс читателей коммуникативной единицей стал текст больший, чем одно предложение.
Ориентируясь на рецепцию языковой личности, достигшей наивысшего уровня развития, “художник заставляет язык превзойти самого себя” [9:280], т.е. текст лингвистически усовершенствуется настолько, что в рецепции непосредственно усматриваются только единицы его идейного содержания. Эти единицы - 12смыслы, субъективные реальности, “значащие переживания” [8].
Вопрос о форме и содержании деятельности высокоразвитой языковой личности, производящей или принимающей художественный текст, попал в сферу борьбы двух идеологий. В бесчисленных пособиях [напр., 42, 44] учащаяся молодежь капиталистических стран читает о том, каким образом возникают в тексте и передаются другим людям смыслы. Этот процесс описывается как ряд, состоящий из четырех операций:
1) автор имеет интуитивное переживание;
2) в ходе этого переживания автор наносит знаки на бумагу;
3) читатель воспринимает эти знаки;
4) читатель обретает интуитивное переживание.
Последняя операция воплощает “орфическую тенденцию” - тенденцию “создания реальностей”. В этой концепции интуиция оказывается неуправляемой силой, а языковой личности отводится весьма пассивная роль. В соответствующих идеалистических “философских обоснованиях” - например, у Гастона Башляра - можно даже прочесть, что художественный текст первичен по отношению к описываемому в нем миру, поскольку основание самого бытия текста - не действительность, а “трансцендентальная функция нереального”, источник появления текста - “абсолютная креативность” [см. 44]. Вообще трактовка природы текстов и их восприятия часто используется философами-идеалистами для претенциозных деклараций об “исчезновении материи”.
Сторонники данной теории стремятся “опереться” на работы Эдмунда Гуссерля - основателя “феноменологической философии”. Многочисленные работы Э. Гуссерля очень противоречивы и не образуют определенной мировоззренческой системы. Общая тенденция этих работ - субъективный идеализм при трактовке “жизненного мира”. Субъективно-идеалистические построения Э. Гуссерля и, особенно некоторых из его последователей, не представляются оригинальными и, как и всякое субъективно-идеалистическое учение, не выдерживают критики. Вместе с тем Э. Гуссерль во многих своих рассуждениях фактически опирался на опыт исследования процессов опредмечивания субъективных переживаний действительных людей. Его интересовали процессы опредмечивания человеческих переживаний при производстве текстов, равно как и процессы распредмечивания как основы герменевтической работы с текстами - особенно художественными [см., напр., 71:196-201]. Не случайно некоторые исследователи уже поняли, что феноменология Гуссерля - не мировоззренческое учение, а методология анализа текстов культуры, в частности, искусствоведческого анализа [напр., 43]. Эта методология сильно мистифицирована 13в сочинениях как самого Э. Гуссерля, так и тех из его последователей, которые интересовались проблемой восприятия текста. Эта мистификация тем сильнее, чем больше феноменолог отходит от живой человеческой деятельности в сторону “трансцендентального Я” и других идеалистических абсолютизаций. Однако в тех частях исследований, которые навеяны наблюдением действительности, нетрудно заметить определенное рациональное зерно. Именно на пути наблюдений над восприятием текста Гуссерль сделал выводы, имеющие если не методологическую, то методическую ценность. В частности, вырисовываются определенные исследовательские процедуры - герменевтическая (связанная с интерпретацией переживаний, “интенций”, автора) и более широкая - “феноменологическая”, охватывающая как процедуру опредмечивания интенций продуцентом, так и процедуру распредмечивания текстовых форм реципиентом, стремящимся “усмотреть” интенцию. Попутно отметим, что категориями “опредмечивание” и “распредмечивание” задолго до Гуссерля оперировал Маркс [1:593].
Феноменологическая исследовательская процедура, действительно, состоит из четырех операций, но соотношение категорий в их пределах противоположно тому, которое предписывается идеалистической феноменологией текста.
1. Идейная, содержательная сущность сообщения программируется автором как один из моментов отражения действительности.
2. Автор создает текст, и текст выступает как вторичная материальная система, опредмечивающая в своих формах эту программу. Это опредмечивание - часть художественной деятельности.
3. Реципиент воспринимает текст как материальную систему и распредмечивает его идеальное, идейное содержание. Такое распредмечивание - часть художественного освоения действительности.
4. Реципиент в той или иной мере присваивает его содержание и включает его в программы своей деятельности, т.е. человек изменяется в ходе этого, как и всякого другого, рода познавательной деятельности.
Очевидно, здесь языковая личность писателя совершенствует языковую личность читателя, одновременно воздействуя на его личность в целом.
Искусствоведческая и филологическая разработка феноменологической исследовательской процедуры послужила основанием для интересных наблюдений над языковой личностью вне художественной и художественно-рецептивной деятельности. Духовная жизнь человека опредмечивается во множестве паралингвистических и лингвистических черт 14речевого поведения. “Чтение в душе”, производимое на основе этих черт, протекает у людей, достигших высокого уровня развития языковой личности, весьма единообразно. То же единообразие соотношений между формой и смыслом наблюдается и у продуцента. Например, говоря hisself, развитой продуцент демонстрирует не незнание формы himself, а субъективную реальность “мое предложение о взаимной неофициальности отношений в общении” [75:21]. Программирование подобных передаваемых содержаний может происходить без презентации программ сознанию, оно протекает в форме непрезентированной реализации направленности личности, в форме “интенции”. Однако интенция не может быть выведена из “значения построения”, т.е. из средств прямого наименования.
Отношение коммуниканта к средствам текста - прагматическое отношение языковой личности - есть та добавка к семантике текста, которая позволяет изучать коммуниканта как носителя смыслов. Смысл присущ множеству поступков языковой личности, хотя его присутствие может быть и неявным для личности, скрывающимся за функцией речевой формы. Смысл становится явным для языковой личности, когда перед ней стоит задача воздействия, т.е. в ситуации, где отношение языковой личности к действительности должно стать очевидным для других. Недооценка прагматического отношения делает неполной лингводидактическую практику, поскольку во множестве случаев все значение текста заключено в его воздействии.
Прагматическое отношение языковой личности неразрывно связано с другими ее отношениями - в первую очередь, с отношением эстетическим. Существенно, что языковая личность считает художественно-прекрасным в речевом произведении, тексте, как она отличает художественное от нехудожественного, как она раскрывает и совершенствует себя этим различением. Все эти вопросы стали предметом рассмотрения специального раздела лингводидактики - эстетики восприятия текста.
Очевидно, высшее развитие языковой личности связано с ее эстетическими проявлениями. Соответственно, образцовой языковой личностью признается личность писателя, а наиболее поучительной формой коммуникации - общение с писателями через созданные ими тексты. Литература начинает рассматриваться и как коммуникативный процесс, а наука о литературе - как теория текста и теория его восприятия, что, конечно, отнюдь не означает призыва к отмене историко-литературных исследований, текстологических штудий, разработки аттрибуций и пр. Выполненные за рубежом ра15боты, сближающие лингвистику и литературоведение, не лишены крайностей, но с точки зрения эффективного изучения языковой личности сближение лингвистики и поэтики очень перспективно. Все большее внимание обращается на общность аналитических методик при изучении (научном и учебном) художественного текста и всякого иного воздейственного речевого поступка, доступного языковой личности, на общность познавательных задач при этих анализах.
В настоящее время выдвигаются лингводидактические проекты слияния двух нынешних учебных предметов - языка и литературы в единый эстетико-историко-филологический учебный предмет с повышенной развивающей эффективностью. Все шире распространяется мнение, что и развить, и изучить языковую личность можно только при кооперации лингвистики, поэтики, эстетики и риторики. Средства текста, опредмечивающие значащие переживания развитой языковой личности, представляют интерес для каждой из этих четырех дисциплин. Так, например, переживание отдаленности и отчужденности, опредмечиваемое в средствах текста, актуально с точки зрения как поэтики, так и риторики. Едва ли нужно доказывать лингводидактический смысл действий, обеспечивающих правильное усмотрение этого переживания в произведениях литературного (и всякого иного) искусства, или действий, направленных на регулирование этого переживания в условиях воспитательной работы (напр., при педагогическом внушении), или действий, направленных на научение тех или иных контингентов умению оперировать названным значащим переживанием в воздейственной речи. Подобных значащих переживаний, смыслов, субъективных реальностей, актуальных для разных аспектов лингводидактической деятельности, можно назвать немало.
Интенция, установка, эмоция личности опредмечиваются в очень сложных формальных средствах текста, являющихся “знаковой объективацией значащих переживаний” [7:120]. Способы символизации значащих переживаний оказываются общими для продуцента и реципиента. Текстовая форма может оцениваться во множестве случаев как “зашифрованная” субъективность продуцента. Анализ речевого произведения - как непрезентированно производимый при “непосредственном” понимании, так и презентируемый сознанию в ходе научной работы - есть своего рода “декодирование зашифрованного”, неявный или явный поиск субъективной программы продуцента.
Количество жизненных ситуаций, в которых языковая личность занимается опредмечиванием и распредмечиванием идеальных содержаний, их “кодированием и декодированием”, поистине безгранично. Эти си16туации могут быть сгруппированы в связи с задачами лингводидактики.
Первая группа ситуаций связана с “расшифровкой” личности, с “чтением в душе”. Языковая личность сама “зашифровывает” себя в формах произведений речи и одновременно стремится по другим текстовым формам “расшифровать” и “расклассифицировать” других людей, как, например, “упрямых”, “добрых”, “самоуверенных”, “надежных” и т.п. Эти тенденции языковой личности интенсивно изучаются в настоящее время, причем особое внимание обращается на опредмечивание социально-культурной характеристики личности или же, наоборот, на опредмечивание ее индивидуализированного “человеческого содержания” [14]. Научное изучение ситуаций этой группы тесно связано с изучением подъязыка разговорной речи.
Вторая группа ситуаций, релевантных с точки зрения феноменологической исследовательской процедуры, научно изучается в тесной связи с разработкой поэтики. “Закодированное” в художественной литературе идеальное, идейное содержание выступает как огромная культурная ценность, опредмеченная в текстах. Распредмечивание этих культурных ценностей при чтении и изучении художественной литературы проводится под руководством школы. В литературоведении последних лет разрабатываются проблемы опредмечивания в тексте целых органически связанных комплексов идеальных содержаний, соответствующих той или иной форме общественного сознания, например, “стилевое выражение этической позиции” [20].
Эмоция и интенция не передаются в художественном тексте прямо, а маскируются формой передачи мысли. В настоящее время уже хорошо известно, что, например, переживание страха можно более эффективно и более содержательно передать, не называя страха, т.е. путем той или иной “техники” организации текста в пределах отрезка, посвященного, скажем, прогулке героя по улице. Форма текста становится выразительной, поскольку она более информативна, более содержательна, чем при прямых номинациях реальностей сознания. Работа по нахождению устойчивых корреляций между значащими переживаниями коммуниканта, с одной стороны, и материальными средствами текста, с другой стороны, уже начата в лингводидактике.
В части работ корреляции даются выборочно: исследователь замечает нечто существенное в содержании и нечто актуальное в его текстовой реализации. Анализы такого рода интересны, но мало дают для дальнейшей разработки феноменологической исследовательской процедуры. В других работах сделаны интересные попытки монографи17чески описать корреляцию, идя от значащего переживания к материальным средствам текста. Так, уже Андрей Белый [10:80-81] рассматривал приемы провоцирования переживания неопределенности; есть работа о средствах провоцирования переживания “пластичности” и “живописности” и т.п. Это направление очень перспективно: в отдаленном будущем оно даст словари, в словнике которых будут наименования смыслов, значащих переживаний, а в объясняющей части - перечень материальных средств текста, опредмечивающих их. Однако пока более успешно идут исследования, выполняемые в обратном порядке - от формы к смыслу.
Здесь, в первую очередь, обращают на себя внимание исследования “изотопии” - рекуррентности и особого расположения сем в тексте. Текст представляется состоящим из оппозиций и сближений упорядоченных рядов сем. Эти оппозиции и сближения соответствуют оппозициям и сближениям значащих переживаний. Довольно много исследований затрагивает вопрос о тембре и интонации как средствах непрямой номинации установок и отношений. Образцовая работа по феноменологии английской интонации выполнена Д. Кристалом, составившим словарик смыслов английских просодических единиц. Например, один из вариантов контрастного восходящего тона коррелирует со смыслами “уныние”, “тревожность”, “удовлетворенность”, “разочарование”, “желание извиниться”, “зловещность” [56:305]. Такая противоречивая омонимия просодической единицы не должна обескураживать исследователя: смыслы опредмечиваются в условиях партитурно организованной речевой цепи (см. выше), по отношению к которой просодические единицы такого рода образуют лишь одну из множества “строк”. Совокупное действие всех “строк” партитурно организованной речевой цепи снимает подобную “омонимию”.
Выполнены также некоторые исследования в отношении корреляций характера типографского шрифта с “настроением” реципиента, корреляцией паралингвистики и речевой патологии с чертами личности, корреляций способов использования несобственно-прямой речи и черт субъективности. Из лексических явлений подобные наблюдения делались в отношении неологизмов и имен собственных. М. Риффатер [100] рассматривал “конвергенцию” - текстовое средство, фактически производное от партитурной организации речевой цепи и заключающееся в одновременном употреблении выразительных средств, принадлежащих к разным “строкам” партитурно организованной речевой цепи и дающих совокупный эффект воздейственности.
18Разработка феноменологических процедур изучения языковой личности продолжается в разных странах. В большинстве случаев эта разработка имеет отношение к лингводидактике, часто - к ее риторическому направлению (см. ниже).
Материал научной литературы показывает, что понятие “языковая личность” выступает перед современным исследователем во множестве своих частных определений, т.е. как хорошо разработанное научное понятие. Оперируя этим понятием, лингводидактика делает более содержательной и разработку частных вопросов овладения и владения языком.
!!ЛИНГВОДИДАКТИЧЕСКАЯ ПРОБЛЕМАТИКА ЯЗЫКОВОЙ ЛИЧНОСТИ В СВЯЗИ С ОВЛАДЕНИЕМ ПЕРВЫМ ЯЗЫКОМ
Во второй половине XX века было замечено, что в итоге развития языковой личности речевые средства регулирования эмоциональных состояний действуют не так, как в начале этого развития, - слабые средства оказываются воздейственнее сильных [76], т.е. стало ясно, что формально-незначительные видоизменения речевого произведения могут иметь значительные последствия. Владение способностью производить эти видоизменения, “речевое искусство”, было поставлено в связь с вопросом об эстетическом отношении человека к социальной действительности, все лучше познаваемой и понимаемой по мере развития речи на родном языке. Вопросы эстетического восприятия речевого произведения и эстетизации всего процесса развития речи, в общем виде давно осмысленные в русской лингводидактической традиции [напр., 33:19], оказались в центре внимания лингводидактики второй половины XX века.
Вместе с тем было бы неправильно представлять развитие лингводидактической мысли XX века в вопросах овладения и владения родным языком как единообразный восходящий процесс. Классовый характер образования в капиталистических странах и некоторые другие социально-исторические обстоятельства сделали этот процесс противоречивым и зигзагообразным. С одной стороны, в капиталистических странах наблюдается увеличение общественного интереса к вопросам содержания обучения родному языку, растет число студентов, специализирующихся в области развития речи. С другой стороны, имеет место деиндивидуализация речи молодежи под влиянием “массовой культуры”, органически враждебной “полной языковой личности”; массовое нежелание читать что-либо даже среди лиц с высшим образованием; оторванность детей пролетарских масс от национального литературного языка; культ беспись19менности и стихийности в развитии речи.
Впрочем, установке на примитивизм в формировании языковой личности в 1960-х и 1970-х годах противостоит прогрессивная лингводидактическая тенденция. Последняя заключается в борьбе за полноту научения родному языку, за формирование множества частных готовностей в течение ограниченного срока, за более раннее формирование речевых готовностей, особенно в области чтения.
Отмечают, что дети, начавшие читать до школы, держат первенство в чтении даже и в седьмом классе [60]. Во множестве работ подчеркивается, что современный ребенок к этому подготовлен своей дошкольной предысторией, дающей особенно значительные показатели в области лексического запаса.
Прогрессивные тенденции в развитии речи на родном языке отнюдь не означают “отмены” теоретического знания. Опасение, что при интенсивном формировании языковой личности отменятся грамматические определения, основано на недоразумении. Борьба тенденций заключается не в “грамматизме” и “аграмматизме” обучения родному языку, размежевание направлений происходит на другой основе.
Главный содержательный вывод из современной полемики - ненадежность корреляций между теоретико-лингвистическим (особенно грамматическим) знанием школьника и мерой развитости его устной и письменной речи [70] и вместе с тем невозможность развивать языковую личность, не давая ей теоретико-лингвистического знания. Выход из противоречия справедливо видят, во-первых, в поисках общего принципа, обосновывающего такую систему обучения, в которой каждый запрограммированный шаг одновременно способствовал бы как теоретическому знанию о чем-то, так и практическому овладения чем-то; во-вторых, в поисках условий, при которых это единство знания и владения могло бы реализоваться.
Принцип, о котором идет речь, впервые был выдвинут в связи с изучением художественных произведений в виде представления о “телеологическом изучении формы”. При таком изучении форма всегда рассматривается как нечто, имеющее функцию, функция - как нечто, имеющее форму. Форма, функция и их взаимоотношения становятся понятиями, организующими процесс работы с текстом в школе [35; 36]. Уже в 1920-х годах Н.М. Соколов исходил из того, что учащиеся должны не только “знать” эти понятия, но и практически оперироватьими в анализах, упражнениях, устных и письменных сочинениях. Ценнейшие лингводидактические рекомендации Н.М. Соколова отчасти были развиты М.А. Рыбниковой [32] в разработках по анализу формы 20в процессе изучения идейного содержания текста, но в целом приходится признать, что Н.М. Соколов опередил общее развитие лингводидактики на 40 - 50 лет. Надолго было забыто, что категория “отношение функции и формы” первоначально мыслилась не как “одно из правил” изучения художественного текста, а как стимул и регулятор филологического развития в условиях обучения в целом. Через пятьдесят лет после первого выступления Н.М. Соколова к подобным рекомендациям пришли другие авторы и сделали соответствующие публикации для учителей родного (на этот раз английского) языка. Достойное развитие эта важная лингводидактическая идея, впрочем, получила только в 1970-х годах, причем на своей родине, в опытном преподавании родного языка в начальной школе, организованном группой советских психологов. Последние исходили из того, что при конструировании учебного предмета надо найти некоторую генетическую абстракцию, которая могла бы быть положена в основу всего курса обучения. Применительно к обучению первому языку этой абстракцией явилось “отношение формы к значению” [6]. Курс изучения родного языка начинается с формирования понятия о слове как сообщении и заканчивается изучением поэтики - системы особого смыслового насыщения сообщений [5]. Знание о языке не “отменяется”, но оно выступает как “теория высказывания”.
Ведущим условием, обеспечивающим единство знания и владения первым языком, почти повсеместно признано включение операций с формой и функцией в творческую деятельность обучаемого (“креативность” в овладении языком). Знание готового образца речевого действия приобретает в этой связи характер подчиненного условия, учебная речевая деятельность переживается как “собственное творчество”, “собственные результаты анализа”, “собственное воплощение мысли”, “собственная находка средств воздейственности”, “собственный рассказ” и т.п. Многие приемы поощрения креативности имеют довольно длительную историю и хорошо разработаны. В частности, известно, какие “отклонения” речевого поведения следует оценивать как аномалии, какие - как проявления индивидуальности [62]; разработаны критерии творческого письменного поступка; разработаны приемы методики живого обсуждения творческих речевых поступков, позволяющие школьнику, в частности, считать, что к его сочинениям учителя подходят не в роли судей, а в роли читателей и слушателей [68].
Креативный подход к развитию речи на родном языке способствует решению таких частных лингводидактических вопросов, как сближение 21требований при развитии письменной в устной воздейственной речи, преодоление узкой “тематичности” устного и письменного высказывания, создание доброжелательного “климата речевого общения” учителя и ученика, использование магнитофона для коррекции речи на родном языке у лиц, считающих себя уже давно “говорящими правильно” и др.
Креативные упражнения (напр., драматизация экспромтом) весьма актуальны в период интериоризации речи, поскольку в этот период развития языковой личности оптимизированное отношение школьника к своему речевому произведению закладывает основы быстрого речевого реагирования и быстрого “схватывания” при слушании. Поскольку важный толчок развитию внутренней речи дает письмо, принимаются меры по увеличению объемов и по ускорению процессов письменной деятельности в школе. Если полвека назад о скоростях чтения говорили как о “природной” (индивидуальной, возрастной, наследственной) данности, то в 1960-70-х годах скорость чтения трактуют как результат собственных планомерных усилий обучаемого. С запаздывающей интериоризацией борются, также опираясь на креативный подход [напр., коллективное рассказывание импровизированных сказок - см. 104].
Более длительна, особенно в СССР, традиция креативного подхода при развитии лексико-грамматического многознания на основе “овладения богатством языка”, в первую очередь богатством лексическим. Большая роль при этом принадлежит усилиям учащихся по преодолению “барьера” между рецептивным и продуктивным владением грамматическим и лексическим материалом. Развитие “чувства языка” также зависит от творческих усилий учащихся, направленных на начитанность и планомерный опыт аудирования (“наслушанность”). Весьма креативны по своему характеру упражнения по вариативности формы выражения.
Особенно остро вопрос о креативности процесса развития языковой личности при овладении родным языком стал рассматриваться в связи с тем акцентом, который современная лингводидактика сделала на сложном синтаксическом целом. Когда обучают не “правильному предложению”, а “хорошему абзацу” или “хорошему высказыванию”, имитативные методы обучения оказываются малопригодными, а теоретический инструктаж по “написанию абзаца” оказывается крайне необходимым. В настоящее время большое значение придается и тому, что устная монологическая речь - одна из основных форм массовой коммуникации. Вопрос о креативном овладении и владе22нии монологом, вопрос о “критическом оперировании языком” имеет отношение к современной идеологической борьбе. В течение последних десяти лет интерес советской лингводидактики к проблеме “связной речи” и ее творческого развития резко возрос [особенно много делает Т.А. Ладыженская - см. 25 и другие ее работы]; в США обучение устному и письменному монологу усилило свои позиции не только как одна из сторон развития речи в школе, но и как College Composition and Communication - обязательный общеобразовательный предмет на первом курсе всех вузов. Современная ситуация ставит массовую школу перед задачей планомерного обучения высшим умениям в родном языке - в первую очередь, умению целенаправленно строить речевые произведения, характеризованные стилистическими средствами того или иного заданного подъязыка и обладающие значительной мерой воздейственности.
Эта задача редко декларируется советской лингводидактикой в общем виде, но в значительной мере решается на деле педагогической практикой лучших учителей и методистов. Примеры, способные подтвердить это положение, столь многочисленны, что их анализ увел бы нас в сторону от общего направления изложения к описанию конкретных частнометодических успехов, поэтому ограничимся одним примером. Так, осуществляемое Ф.Л. Новожиловой [28] требование к учащимся различать деловую и художественную прозу при продуцировании письменной речи - одно из тех многочисленных явлений в педагогической практике 1970-х годов, которые были немыслимы два девятка лет назад. Очевидно, развитие культуры в СССР открывает перед школой очень хорошие перспективы подведения всей массы народа к высшим уровням развития языковой личности.
Уместно отметить, что лингводидактика стран английского языка также столкнулась в 1960-70-х годах с проблемой различения подъязыков, языковых подсистем. Так, назрела необходимость определить набор подъязыков, допустимых в письменном школьном сочинении и т.п. Однако подъязыки, попавшие в поле зрения лингводидактики стран английского языка, не принадлежат к тому привычному для советской лингводидактики набору подъязыков, который соотносителен с перечнем наиболее распространенных функциональных стилей. Совпадение перечней подъязыков в советской и англо-американской лингводидактике прослеживается лишь в отношении деловой прозы. В остальном лингводидактика стран английского языка вынуждена иметь дело с далекой от преодоления раздробленностью речи народа на социальные диалекты, естественные в усло23виях общества с резкими классовыми разграничениями.
Сложившаяся в Англии и США ситуация характеризуется противоречием, уже понятым лингводидактами этих стран: с одной стороны, без приобщения к “литературному наречию” немыслим рост языковой личности, с другой стороны - это “наречие” оказывается для миллионных пролетарских масс настолько “иностранным”, что принудить выходцев из этих масс перейти на литературный и литературно-разговорный язык - значит выбить их из традиционного русла развития личности в собственной социальной среде или озлобить их против всей системы образования. Например, у пролетариев-негров США - два социальных диалекта. Первый - “для своего брата” - богат и дифференцирован в степени, позволяющей сопоставлять его по этому критерию с литературным стандартом; другой - для разговора в присутствии “чужаков” - ограничен, не позволяет демонстрировать ни лексико-грамматического многознания, ни стилистической общности с носителями стандарта [94]. Говоря таким образом, дети пролетариев-негров проигрывают в школе в образовательном отношении, подвергаются критике (а то и насмешкам) со стороны белых учеников и учителей. Большинство родителей-негров в этих условиях высказываются за научение их детей “белому диалекту” [45:416]. Впрочем, американская лингводидактика выбрала другой путь, достоинства и недостатки которого пока еще трудно оценить с лингводидактической точки зрения.
“Реформа” пока что приобрела следующий вид. Научно-практическая лингводидактическая организация Conference of College Composition and Communication опубликовала документ “Право учащегося на свой собственный язык” [106], согласно которому был сделан “демократический шаг”, заключающийся в признании права учащихся говорить на занятиях в школе и вузе на своем социальном диалекте. Все подъязыки и диалекты были объявлены “равноправными” для устного и письменного высказывания на уроке. Судя по одобрительным комментариям по поводу этого шага, американская лингводидактика пытается решить упомянутое социально-лингвистическое и социально-педагогическое противоречие путем снижения требований к литературному стандарту и путем организации такого педагогического поведения учителя, при котором языковая личность обучаемого могла бы развиваться не только на базе литературного языка, но и на базе и в пределах социального диалекта. Не анализируя этих решений в деталях и не торопясь дать им окончательную оценку, отметим, что избранный в последние годы путь американской 24лингводидактики создает не только облегчение, но и новые затруднения для развития “полной языковой личности”.
К чести прогрессивных представителей американской лингводидактики, следует отметить, что и в описанных трудных условиях, порожденных устарелой системой общественных отношений, они стремятся к формированию высших умений, свойственных развитой языковой личности. Эти авторы постоянно пишут о том, что изучение подъязыков и диалектов с их стилистикой должно сочетаться с изучением поэтики, приемов воздейственной и убеждающей речи. Началось издание пособий, цель которых - добиться “стилистической искушенности”, полезной не с точки зрения риторической или литературной деятельности, а с точки зрения повседневной профессиональной жизни образованного человека.
В других странах лингводидактическая установка на всемерное развитие стилистической готовности школьника сочетается с местными традициями. Во Франции это - интерпретация художественного текста. В странах немецкого языка особое внимание обращается на стилистику письменной речи; характерны предложения обучать стилистике письменной речи сразу после того, как дети овладеют начальными навыками чтения и письма. В странах испанского языка, с их многомиллионными массами людей, имеющих лишь начальное образование, обучение стилистике мыслится, в первую очередь, как приобщение к стилистическим нормам литературного языка.
Очевидно, борьба за стилистическую готовность школьника приобретает характер всемирного направления лингводидактической деятельности. Советская школа имеет все условия для того, чтобы занять в этой области ведущее место. Единственное препятствие - сложившаяся с начала 1930-х годов традиция недооценки стилистического развития школьника и школьного учителя. В пособиях по методике, изданных для учителей русского языка даже в 1950-х годах [напр., 29], “стилистический анализ” лишь упоминался, не было даже разъяснений этого термина, не говоря уже о конкретных методических разработках по стилистике. В настоящее время эта необоснованная традиция преодолевается. В борьбе за преодоление этой традиции заслуживают определенного внимания как старые, но на время забытые, находки русской и советской лингводидактики, так и лингводидактические идеи зарубежных стран. Остановимся на пяти из них:
1) ролевом принципе развития речи,
2) элементах развития продуктивного артистизма речи,
3) развитии умений художественной критики,
4) развитии умений эстетического анализа текста,
5) приобще25нии школьников к герменевтической исследовательской процедуре при работе с текстом.
Ролевой принцип развития речи - выработка “умения говорить с каждым на его языке” - реализуется в массовой школе на базе опыта устных и письменных сочинений “с точки зрения” участников событий, фигурирующих в тексте, а также на базе разного рода импровизированных на уроке инсценировок. В странах английского языка особое внимание уделяется речевым умениям “завтрашнего руководителя” - умениям по-разному пользоваться речью в разных ситуациях общения. Последние классифицируются по характеру аудитории и по функции скопления людей (напр., поведение председателя собрания, посвященного проверке выполнения ранее вынесенных решений). Списки ситуаций, рекомендуемых для лингводидактического освоения по ролевому принципу, бывают очень обширными и насыщенными [напр., 81; в этой работе рекомендуется распространить ролевой принцип также на сочинение статей пропагандистского содержания].
Реализация ролевого принципа невозможна без эстетического освоения продуктивной речи, без “артистизма”. Проблема продуктивной художественной речи - одна из самых старых в лингводидактике - разрабатывалась первоначально в связи с методикой художественного рассказывания, организуемого учителем “придумывания сказок” детьми, “творческого слушания”. В середине 1930-х годов интерес к этой проблематике резко снизился во всем мире, но с середины 1950-х годов вопросы продуктивной художественной речи неуклонно занимают все большее место в лингводидактике.
Советская лингводидактика разрабатывает проблему художественной речи в связи с проблемой выработки у человека способности к эстетическому освоению мира [особ. см. 37]. Отсюда - разработка приемов научения единству изобразительного и выразительного начал; требование использовать теоретическое знание поэтики у школьников в качестве фактора, развивающего личность; попытки возродить - на основе современных лингводидактических представлений - практику массового устного рассказывания в школе [ср. мысли о “художественном рассказе пережитого”, об оперировании в этом рассказе не только фактами, но и содержательной формой - у А.В. Луначарского, 27].
Прогрессивная лингводидактика стран английского языка, в свою очередь, характеризуется большой смелостью и новаторством в обучении продуктивной художественной речи. Многие теоретики и практики этих стран считают, что само изучение художественной литера26туры должно быть подчинено именно этой цели. Та же установка наблюдается при вузовской подготовке учителей родного языка. Иногда утверждают даже, что обучать литературе - это показывать взаимодействие выбора слов, ритма и синтаксиса с настроением [64]. Отрицательным последствием этих установок является выведение за пределы школьных программ почти всей литературы XVIII-XIX веков, гипертрофированная тенденция к замене историко-литературного изучения текстов их тематическим изучением.
Примером вида словесности, продуктивно осваиваемого учащимися, может послужить, в частности, версифицированная речь. Обучение версификации известно в лингводидактике издавна, но никогда оно не строилось на такой богатой лингводидактической основе, как в странах английского языка начиная с конца 1950-х годов. Упражнения в имитации антологической поэзии рекомендованы и для вуза, и для средней школы, и - особенно - для школы начальной, где закладываются основы способности к лабильному переключению от одного подъязыка и вида словесности к другому, равно как и основы способности превращать “форму вообще” в содержательную форму. Здесь работа над версификацией сочетается с работой над лексико-грамматическим многознанием. Отмечают [напр., 57], что учитель может доказать и показать 8-10-летнему ребенку его возможность осмыслить собственный индивидуальный стиль, не говоря уже о способности откликаться на выразительные средства текстов любимого поэта.
Возможности детей были убедительно показаны в многочисленных публикациях сборников детских стихов. Появилась и лингводидактическая литература по вопросам овладения готовностью к хорошей версификации в школьном возрасте. Ведутся поиски и других путей подведения ребенка к эстетизированному речевому акту. Здесь большая роль принадлежит другим видам письма, чтения и устного обсуждения, опирающимся на социальный и эстетический опыт детей и выполняемым ради “самовыражения” и индивидуализации речевого произведения.
В лингводидактике всех стран в течение последнего десятилетия было замечено, что массовое развитие высших уровней языковой личности невозможно, если школа не развивает способности реагировать на “форму” текста и оценивать ее. Отсюда - организация дискуссий школьников о выразительных средствах, причем иногда считают желательным, чтобы критиковалась не только точка зрения учащихся, но и точка зрения учителя [89]. Развитие умений лите27ратурной критики осуществляется на материале не только читаемых, но и впервые воспринимаемых на слух текстов [см. 96:42-45 - о “критическом аудировании”]. Установлено, что лингводидактически оптимальная последовательность критикуемых текстов такова: от отдельного предложения - к связному письменному или печатному тексту, затем - к звучащему тексту. Одно из наиболее сложных упражнений - вопросы типа “Какое из двух содержательно-сходных стихотворений лучше, и почему?”.
На материале текстов, бесспорно высокого качества, современная лингводидактика рекомендует развивать не столько умение критиковать “форму”, сколько умение выполнять эстетический анализ. Знакомясь с современными соображениями по этому вопросу, мы с удивлением убеждаемся в том, что лингводидактика наших дней едва ли ушла дальше смелых решений советских авторов 1920-х годов, предлагавших штудировать художественные выразительные средства высококачественного текста по подлиннику, причем “сидеть с Толстым месяца три” [32:9]. Эти соображения были надолго забыты, и подлинным откровением 1970-х годов оказалось наблюдение, что умение читать медленно у старшеклассника возникает позже и труднее, чем умение читать быстро, но без содержательного осмысления формы [84]. Повсеместно чтение вслух, выполняемое старшеклассниками, все еще свидетельствует о распространенности “полупонимания” художественных текстов на родном языке.
Эти явления не случайны. Еще недавно эстетический анализ текста называли “формалистическими упражнениями”, которые “не имеют ничего общего с подлинным литературным анализом” [39:48]. Забвение того, что литература есть явление эстетическое, т.е., что литература есть род искусства, далеко не изжито в лингводидактике. Это забвение - источник того, что В.П. Григорьев [18:12] метко назвал анализом текста “помимо языка”. Так, А. Коваленков [23:71] полагает, что “способы изложения - рамка к портрету”. Книга “Искусство анализа художественного произведения” [22] примечательна полным отказом от изучения формы текстов в школе, зато там можно прочесть рекомендации по “истолкованию действий серафима” в пушкинском “Пророке” [22:107].
Установка на антиэстетический анализ имплицитно обусловлена тремя “принципами”:
1) непризнанием диалектических взаимопереходов формы и содержания,
2) верой во всесилие интуитивного восприятия красоты,
3) непризнанием умственных способностей учащихся.
28Первый из этих “принципов” воплощается в том, что произведение искусства рассматривают как “форму”, своего рода сосуд для помещения заведомо известных нравственных и социальных идей. Попытки преодолеть отрыв содержания от формы в лингводидактике довольно робки и имеют вид “увязок” метафор и эпитетов с идейным содержанием, которое существует как бы “само по себе”.
Второй “принцип” антиэстетического подхода к тексту при его анализе - имплицитно используемый интуитивизм - проявляется в чисто качественных оценках стиля, подбираемых в соответствии с оценками “содержания” текста. Современный интуитивист Л. Милич [82] составил список таких качественно-оценочных “определений” стиля Дж. Свифта. Только на букву “С” - получилось: charming, clear, common, concise, correct. “Научный анализ”, оперирующий общими представлениями такого рода, со
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
*Бурвикова Е.В. Обучающая языковая среда в гендерном аспекте
*[ext[ссылка НЭБ|https://viewer.rusneb.ru/ru/000199_000009_005522754?page=1&rotate=0&theme=white]]
*[ext[ссылка new-disser|https://new-disser.ru/_avtoreferats/01005522754.pdf]]
*[ext[ссылка в Dis7|file:///E:/Dis/Dis7]]
БУРДЕНЮК Галина Михайловна
Управление самостоятельной учебной деятельностью при обучении иностранным языкам взрослых
[ext[ссылка|https://new-disser.ru/_avtoreferats/01002161376.pdf]]
[[Быкова Г.И.]] [[Воспитание языковой личности в процессе преподавания лингвистических и речеведческих дисциплин]]
ВОСПИТАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ В ПРОЦЕССЕ ПРЕПОДАВАНИЯ ЛИНГВИСТИЧЕСКИХ И РЕЧЕВЕДЧЕСКИХ ДИСЦИПЛИН Быкова Г.И. диссертация на соискание ученой степени кандидата педагогических наук / Екатеринбург, 1999 13.00.06
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=841881]]
[[СодержаниеБыковаГИ]]
[[Часть авторефератаБыковаГИ]]
[[ЗаключениеБыковаГИ]]
[[Cсылка на фрагмент диссертацииБыковаГИ]]
[[Термины]]
| [[Ва]] | [[Ве]] | [[Вз]] | [[Ви]] | [[Вк]] | [[Вл]] | [[Вн]] | [[Во]] | [[Вр]] | [[Вс]] | [[Вт]] | [[Вы]] |
!!! Ассоциативные поля
* [[Довголюк]]
* [[Кафтанов]] особенно
Вайндорф-Сысоева М.Е. Виртуальная образовательная среда: категории, характеристики, схемы, таблицы, глоссарий: Учебное пособие. – М.: МГОУ, 2010 – 102 с.
[ext[ссылка|https://docviewer.yandex.ru/view/0/?page=2&*=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&lang=ru]]
[ext[ссылка|http://www.ams.tsu.ru/TSU/QualificationDep/co-searchers.nsf/5F5997A80775716A472584DC001CC929/$file/%D0%92%D0%B0%D0%BD_%D0%A1._%D0%94%D0%B8%D1%81%D1%81%D0%B5%D1%80%D1%82%D0%B0%D1%86%D0%B8%D1%8F.pdf]]
!!Языковая личность в диссертационных исследованиях
!!Языковая личность в дидактике
!! По названию
[[Райзберг]] ** [[Другая]] ** [[Новиков]] ** [[Ещё]]
ФОРМИРОВАНИЕ ЭФФЕКТИВНОГО ПСИХОТЕРАПЕВТА КАК РАЗВИТОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ
[ext[ссылка|https://viewer.rusneb.ru/ru/000199_000009_000212811?page=139&theme=white]]
[ext[ссылка|https://viewer.rusneb.ru/ru/000199_000009_000212811?page=149&rotate=0&theme=white]]
Васильева Татьяна Викторовна
!! Опыт создания словаря русских глаголов и глагольных форм на материале текстов дисциплин инженерного профиля
[ext[ссылка|https://cyberleninka.ru/article/n/opyt-sozdaniya-slovarya-russkih-glagolov-i-glagolnyh-form-na-materiale-tekstov-distsiplin-inzhenernogo-profilya]]
Всего начиная 1997 года по настоящее время защищено 32 диссертации из них 4 докторских, следует отметить , что 12 диссертаций посвящено вопросам средней школы и дошкольного образования, а 20 диссертации вопросам использования концепта языковая личность в высшей школе. Остановимся подробнее на второй группе.
По научным специальностям диссертации распределяются следующим образом:
* общая педагогика, история педагогики и образования (шифр 13.00.01) - 6 диссертаций;
* теория и методика обучения и воспитания (шифр 13.00.02) - 9 диссертаций;
* теория и методика профессионального образования (шифр 13.00.08) - 4 диссертации.
Еще одна диссертации 1997 года проходила по специальности 13.00.06 теория и методика воспитания. Которая в действующей номенклатуре отсутствует, но в принципе могут быть отнесены к специальности 13.00.02.
Закон «Об образовании в Российской Федерации» определяет профессиональное развития человека как одну из основных целей образования, осуществляемую (реализуемую) через профессиональное и дополнительной образование. [ФЗ]
Профессиональное образование призвано формировать специалиста, обладающего кроме набора специальных знаний в определенной области, широким кругозором, то есть быть личностью, способной решать задачи в своей профессиональной области профессионального самоопределения будущего специалиста [1]
Закон «Об образовании в Российской Федерации» определяет профессиональное развития человека как одну из основных целей образования, осуществляемую (реализуемую) через профессиональное и дополнительной образование. [ФЗ] Профессиональное образование призвано формировать специалиста, обладающего кроме набора специальных знаний в определенной области, широким кругозором, то есть быть личностью, способной решать задачи в своей профессиональной области профессионального самоопределения будущего специалиста [1]
Идея развития личности проходит красной нитью через всё содержание данного закона - понятие личность (личностный) входит в пятёрку его ключевых понятий. [ext[ссылка|https://minobr.gov-murman.ru/files/prezent_273fz-13.pdf]]. [[ссылка 2|5 ключевых понятий]]
Категория личность широко используется в быту и в различных науках и имеет множество значений и определений.
Реализация идеи формирования и развития личности в
образовательном процессе требует конкретизации данного понятия. Учитывая что передача и усвоение знаний независимо от предметной области происходит с помощью языка, представляет интерес рассмотреть использование термина «языковая личность» в области образования.
В частности представляет интерес вопрос использования данного конструкта в диссертационных исследованиях.
Для выявления диссертаций, в которых используется данный конструкт, были использованы поисковых систем сайтов ВАК, disserCat. Поиск проводился по наличию данного конструкта в названии диссертаций. Правомерность данного подхода обусловлена тем, что в названии диссертации в концентрированном виде заключены цель, предмет и объект исследования.
Проведенный поиск позволил выявить 248 диссертаций защищенных с середины 90 годов до 2019 года. Из них 207 в области филологических наук, 31 по тематике педагогических наук, 3 философские науки, 2 психологические науки, 4 культурологические науки, 1 социологические наук.
Для нас представляет интерес использование конструкта "языковая личность" в высшей школе и в профессиональном образовании. Поэтому из 31 диссертации в области педагогических наук мы отобрали для анализа 20 диссертаций удовлетворяющих вышеупомянутым условиям. Данные диссертации охватывают области научных специальностей "Общая педагогика, история педагогики и образования", "Теория и методика обучения и воспитания", "Теория и методика профессионального образования ". Одна диссертация, защищенная 1999 году по специальности "Теория и методика воспитания". По данной специальности в настоящее время не проводятся защиты, но по своей направленности она может быть отнесена к первой группе.
Анализ должен включать выявление модели языковой личности, используемой в диссертации; контингент исследуемый в конкретной работе, цели предмет и объект исследования.
Закон «Об образовании в Российской Федерации» определяет профессиональное развития человека как одну из основных целей образования, осуществляемую (реализуемую) через профессиональное и дополнительной образование [ФЗ]. Профессиональное образование призвано формировать специалиста, обладающего кроме набора специальных знаний в определенной области, широким кругозором, то есть личность, способную решать задачи в своей профессиональной области посредством профессионального самоопределения [1].
Идея развития личности является одной из основных для данного закона, а концепт "личность" входит в пятёрку ключевых понятий [ext[ссылка|https://minobr.gov-murman.ru/files/prezent_273fz-13.pdf]]. [[ссылка 2|5 ключевых понятий]]
Категория личности широко используется как в бытовом, так и в научном дискурсе и имеет множество толкований. Вместе с тем, реализация идеи формирования и развития личности в образовательном процессе требует конкретизации данного понятия. Учитывая, что передача и усвоение знаний независимо от предметной области происходит с помощью языка, представляется целесообразным рассмотреть использование термина «языковая личность» в области образования. Поскольку лишь наука способна наиболее полно и точно охарактеризовать какое-либо явление, на наш взгляд, логично обратиться к рассмотрению исследуемого понятия в диссертационных работах, посвященных указанной проблеме.
Для выявления диссертаций, в которых используется данный конструкт, были использованы поисковых систем сайтов ВАК и disserCat как наиболее валидные источники информации по научным работам, защищенным на территории Российской Федерации. Поиск проводился по наличию данного конструкта в названии диссертаций. Правомерность данного подхода обусловлена тем, что в названии диссертации в концентрированном виде заключены цель, предмет и объект исследования.
Проведенный поиск позволил выявить 248 диссертаций, защищенных с середины 90 годов ХХ века до 2019 года включительно. Из них 207 работ было выполнено по филологическим наукам, 31 - по тематике педагогических наук, 3 работы относились к философским наукам, 2 - психологическим, 4 - культурологическим и 1 - социологическим.
Для нашего исследования интерес представляет изучение взглядов исследователей на применение конструкта "языковая личность" в контексте профессионального образования. Поэтому из 31 диссертации в области педагогических наук мы отобрали для анализа 20 работ, удовлетворяющих данному условию. Диссертации охватывают области научных специальностей "Общая педагогика, история педагогики и образования", "Теория и методика обучения и воспитания", "Теория и методика профессионального образования ". Одна диссертация была защищена в 1999 году по специальности "Теория и методика воспитания". По данной специальности в настоящее время защиты не проводятся, но по своей направленности она может быть отнесена к первому направлению - "Общая педагогика, история педагогики и образования".
Процедура анализа включала определение модели языковой личности, используемой в диссертации, контингента обучающихся, исследуемого в конкретной работе, цели, предмет и объект исследования.
Закон «Об образовании в Российской Федерации» определяет профессиональное развития человека как одну из основных целей образования, осуществляемую (реализуемую) через профессиональное и дополнительной образование [ФЗ]. Профессиональное образование призвано формировать специалиста, обладающего кроме набора специальных знаний в определенной области, широким кругозором, то есть личность, способную решать задачи в своей профессиональной области посредством профессионального самоопределения [1].
Идея развития личности является одной из основных для данного закона, а концепт "личность" входит в пятёрку ключевых понятий [ext[ссылка|https://minobr.gov-murman.ru/files/prezent_273fz-13.pdf]]. [[ссылка 2|5 ключевых понятий]]
Категория личности широко используется как в бытовом, так и в научном дискурсе и имеет множество толкований. Вместе с тем, реализация идеи формирования и развития личности в образовательном процессе требует конкретизации данного понятия. Учитывая, что передача и усвоение знаний независимо от предметной области происходит с помощью языка, представляется целесообразным рассмотреть использование термина «языковая личность» в области образования. Поскольку лишь наука способна наиболее полно и точно охарактеризовать какое-либо явление, на наш взгляд, логично обратиться к рассмотрению исследуемого понятия в диссертационных работах, посвященных указанной проблеме.
Для выявления диссертаций, в которых используется данный конструкт, были использованы поисковых систем сайтов ВАК и disserCat как наиболее валидные источники информации по научным работам, защищенным на территории Российской Федерации. Поиск проводился по наличию данного конструкта в названии диссертаций. Правомерность данного подхода обусловлена тем, что в названии диссертации в концентрированном виде заключены цель, предмет и объект исследования.
Проведенный поиск позволил выявить 248 диссертаций, защищенных с середины 90 годов ХХ века до 2019 года включительно. Из них 207 работ было выполнено по филологическим наукам, 31 - по тематике педагогических наук, 3 работы относились к философским наукам, 2 - психологическим, 4 - культурологическим и 1 - социологическим.
''Методология исследования'' (методика исследования)
Понятийная база, цель и методология работы
Методология
С целью выявления и анализа основных
Критериями для анализа научно-методической литературы стали: современные формы самостоятельной работы на занятиях по РКИ
Для нашего исследования интерес представляет изучение взглядов исследователей на применение конструкта "языковая личность" в контексте профессионального образования. Поэтому из 31 диссертации в области педагогических наук мы отобрали для анализа 19 работ, удовлетворяющих данному условию. Диссертации охватывают области научных специальностей "Общая педагогика, история педагогики и образования", "Теория и методика обучения и воспитания", "Теория и методика профессионального образования ".
Процедура анализа включала определение модели языковой личности, используемой в диссертации, контингента обучающихся, исследуемого в конкретной работе и цели исследования.
''Исследование и его результаты ''
''Исследование и результаты ''
''Обоснование выбора топонимического материала''
[[Примеры 22]]
''Описание материала и методики исследования ''
<p align="right"><center> ''Введение'' </center></p>
Закон «Об образовании в Российской Федерации» определяет профессиональное развития человека как одну из основных целей образования, осуществляемую (реализуемую) через профессиональное и дополнительной образование. Профессиональное образование призвано формировать специалиста, обладающего кроме набора специальных знаний в определенной области, широким кругозором, то есть личность, способную решать задачи в своей профессиональной области посредством профессионального самоопределения. Идея развития личности является одной из основных для данного закона, а концепт "личность" входит в пятёрку ключевых понятий [[[1]|5 ключевых понятий]].
Категория личности широко используется как в бытовом, так и в научном дискурсе и имеет множество толкований. Вместе с тем, реализация идеи формирования и развития личности в образовательном процессе требует конкретизации данного понятия. Учитывая, что передача и усвоение знаний независимо от предметной области происходит с помощью языка, представляется целесообразным рассмотреть использование термина @@color:red; (конструкта) @@«языковая личность» в области образования. Поскольку лишь наука способна наиболее полно и точно охарактеризовать какое-либо явление, на наш взгляд, логично обратиться к рассмотрению исследуемого понятия в диссертационных работах, посвященных указанной проблеме.
Для выявления диссертаций, в которых используется данный конструкт, были использованы поисковых систем сайтов ВАК и disserCat как наиболее валидные источники информации по научным работам, защищенным на территории Российской Федерации. Поиск проводился по наличию данного конструкта в названии диссертаций. Правомерность данного подхода обусловлена тем, что в названии диссертации в концентрированном виде заключены цель, предмет и объект исследования.
Проведенный поиск позволил выявить 248 диссертаций, защищенных с середины 90 годов ХХ века до 2019 года включительно. Из них 207 работ было выполнено по филологическим наукам, 31 - по тематике педагогических наук, 3 работы относились к философским наукам, 2 - психологическим, 4 - культурологическим и 1 - социологическим.
Для нашего исследования интерес представляет изучение взглядов исследователей на применение конструкта "языковая личность" в контексте профессионального образования. Поэтому из 31 диссертации в области педагогических наук мы отобрали для анализа 19 работ, удовлетворяющих данному условию. Диссертации охватывают области научных специальностей "Общая педагогика, история педагогики и образования", "Теория и методика обучения и воспитания", "Теория и методика профессионального образования ".
Процедура анализа включала определение модели языковой личности, используемой в диссертации, контингента обучающихся, исследуемого в конкретной работе и цели исследования языковой личности.
Введение в когнитивное терминоведение
Голованова Е.И.
Учебное пособие. — М.: Флинта: Наука, 2011. — 224 с. — ISBN 978-5-9765-1046-3; ISBN 978-5-02-037407-2.
[ext[ссылка|https://pl.b-ok.cc/book/3304615/83834a]]
[ext[ссылка ЯД|https://yadi.sk/d/SwsW6aXtlFyKfQ]]
Глава 5
ПРОФЕССИОНАЛЬНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ:
СУЩНОСТЬ, ТИПОЛОГИЯ,
ЛЕКСИКОГРАФИЧЕСКОЕ ОПИСАНИЕ
Понятие «профессиональная языковая личность» вошло в
научный обиход сравнительно недавно. Его появление связано с развитием когнитивно-коммуникативного (когнитивно-
дискурсивного) направления в современной лингвистике. Содержание данного понятия самым тесным образом связано с такими
феноменами, как «профессия», «профессиональная коммуникация», «профессиональный дискурс», «профессиональная среда»,
«профессиональная картина мира».
```
Мыскин С.В.
Введение в теорию профессионального языкового сознания: Монография.
– М.: ООО «Сам Полиграфист», 2015. – 331 с.: ил.
```
[ext[ссылка|file:///D:\TRab\2020\02/miskin_monograf.pdf]]
[ext[ссылка Internet|https://yadi.sk/i/I1WqoiuK1ajlYg]]
Закон «Об образовании в Российской Федерации» определяет профессиональное развития человека как одну из основных целей образования, осуществляемую (реализуемую) через профессиональное и дополнительной образование. [ФЗ]
Профессиональное образование призвано формировать специалиста, обладающего кроме набора специальных знаний в определенной области, широким кругозором, то есть быть личностью, способной решать задачи в своей профессиональной области профессионального самоопределения будущего специалиста [1]
Мегаконцепт «Личность» в контексте исследований дидактики (педагогики) высшей школы: ретроспективный анализ за период 1990 - 2019 гг.
Введение
«Личность» относится к ключевым концептам современных дидактических (педагогических) исследований. Использование «концептологического» подхода в педагогике началось сравнительно недавно. Так в работе Г.А. Ястребовой посвященной ретроспективному анализу проблемы концепта в философии, культурологии и перспективам использования концептов в педагогике отмечается что впервые термин концепт упоминается в работе E.B. Бондаревской и С.В. Кульневича, где он представлен как извлекаемая из сознания матрица «обобщенного, единого, целостного замысла действия» в противовес предлагаемому “готовому рецепту” (Бондаревская, Е.В., 1999). В 2004 году Е.Н. Дмитриева в своей диссертационной работе вводит в научный оборот «профессионально-педагогическая концептосфера специалиста» (Дмитриева 2004).
В работе (Голохваст и др 2019) рассматривается вопрос изучения профессиональной педагогической концептосферы как части национальной культуры. Анализ работ исследователей в этом плане показывает перспективность использования концептов не только в процессе подготовки студентов, но и совершенствовании педагогических кадров. На наш взгляд такой интерес к концептам педагогов обусловлен дидактическим потенциалом данного конструкта так как он в отличии от, например, понятия несет в себе и эмоциональные признаки.
Процесс образования личности предполагает тесное взаимодействие педагогики с другими науками, в первую очередь с гуманитарными: философией, психологией и т.д.
Наиболее полно вопросы сущности концептов разработаны в философии и лингвистике. В частности в когнитивной лингвистике определены вопросы типизации, объективации, структуры концептов и концептосферы. Для целей нашего исследования эти вопросы представляют особый интерес.
Ведущие специалисты в области когнитивной лингвистики отмечают невербальность мышление человека «Люди мыслят концептами». «Концепт - принадлежность сознания человека. глобальная единица мыслительной деятельности». «Упорядоченная совокупность концептов в сознании человека образует его кониептосферу». «Язык - одно из средств доступа к сознанию человека». «Через язык можно познать и эксплицировать значительную часть концептуального содержания сознания общества, группы и отдельного человека». (Бабушкин А.П.. Стернин И.А. 2018)
Концепт имеет определенную структуру. которая не является жесткой, но является необходимым условием существования концепта и его вхождения в кониептосферу. Концепт внутренне организован по полевому принципу и включают чувственный образ. информационное содержание и интерпретационное поле, (там же)
В настоящее время нет единой классификации концептов. Классифицируются концепты по различным основаниям. Например классификация А.П. Бабушкина включает: «мыслительные картинки», схемы, фреймы, сценарии, «калейдоскопические» и логически-конструируемые концепты, равные понятиям в их обычном понимании. Классификация воронежской лингвистической школы включает: представление, схема, понятие, фрейм, сценарий, гештальт. (там же)
Эти классификации позволяют описать различные признаки концептов, однако не позволяют судить об отношении между концептами. Например, как соотносятся по объему, может ли одни концепт входить в состав другого.
Данные проблемы решаются в классификациях, предложенных в работах Е.Е. Сапоговой (мегаконцепты, макроконцепты, микроконцепты, миниконцепты) (Сапогова Е.Е. 2005). О.И. Лыткина отмечает что Ю.Н. Шведова «делит концепты на «основные» («базовые», «большие», «великие») и «малые» («неосновные», «небазовые»)» (Лыткина О.И.)
В монографии A.H. Приходько приводится классификация включающая «макроконцепт», «гиперконцепт», «гипоконцепт», «мезоконцепт», «(ката)концепт».
мегаконцептами (макроконцептами) следует признать категориальные ментальные единицы, репрезентирующие общечеловеческие понятия («человек»).
гиперконцепт «внутренний мир», И макро-, и гиперконцепты лишены, как правило, национальной специфики
гипоконцепты - таксоны нисходящего уровня абстракции, обладающие наличием определенной этнокультурной специфики. Мельчайшими следует признать атомарные элементы системы - катаконцепты, собственно концепты.
В «Словаре русской культуры» Ю. С. Степанова зафиксировано и описано более 50 базовых концептов - констант русской культуры среди которых есть такие концепты как ЧЕЛОВЕК и ЛИЧНОСТЬ. Это дает основание утверждать что концепт ЛИЧНОСТЬ является мегаконцептом, включающим в себя концепты более низкого уровня.
Целью данной работы является определение структуры данного концепта с точки зрения дидактики высшей школы и проведение ретроспективного анализа эволюции данного концепта за определенный период.
Как было отмечено выше концепты по своей сути не являются вербальными сущностями. Однако определенные признаки концептов могут быть вербализованы (объективированы) и таким образом доступны для анализа языковыми (лингвистическими) средствами, «так как вербализация концептов языковыми средствами - наиболее доступный путь к содержанию концепта » (Стернин 2018)
Список литературы
Ястребова Г.А. Теоретические предпосылки исследования концепта в педагогике // Известия
ВГПУ. 2007. №1. URL: https://cvberleninka.ru/article/n/teoreticheskie-predposvlki-issledovaniva- kontsepta-v-pedagogike (дата обращения: 25.08.2020).
Бондаревская, Е.В. Педагогика: личность в гуманистических теориях и системах воспитания: учеб. пособие для студ. сред, и высш. учеб. заведений, слушателей ИПК и ФГЖ / Е.В. Бондаревская, С.В. Кульневич. Ростов н/Д.: Творческий центр «Учитель», 1999. 560 с.
Дмитриева, ЕЛ. Смысловая парадиг ма как основа совершенствования профессиональной подготовки педагогов в вузе: авто-реф. дис.... д-ра пед. наук / Е.Н. Дмитриева. Н. Новгород, 2004.
Дмитриева Елена Николаевна Парадигма смыслообразующей педагогической подготовки учителя // Высшее образование в России. 2011. №3. URL: https://cyberleninka.ru/article/n/paradigma- smysloobrazuyuschey-pedagogicheskoy-podgotovki-uchitelya (дата обращения: 25.08.2020).
Голохваст Кирилл Сергеевич, Хороших Павел Павлович, Сергиевич Александр Александрович, Калинина Светлана Феликсовна Педагогическая концептосфера как базис профессиональной подготовки педагога: генезис понятия // АНИ: педагогика и психология. 2019. №3 (28). URL: https://cyberleninka.ru/article/n/pedagogicheskaya-kontseptosfera-kak-bazis-professionalnoy-podgotovki- pedagoga-genezis-ponyatiya (дата обращения: 25.08.2020).
Бабушкин А.П., Стернин И.А. Когнитивная лингвистика и семасиология. Монография. - Воронеж: ООО «Ритм», 2018.- 229 с.
Лыткина О.И. К вопросу о типологии концептов в современной лингвистике // Rhema. Рема. 2010. №2. URL: https://cyberleninka.rU/article/n/k-voprosu-o-tipologii-kontseptov-v-sovremennoy-lingvistike (дата обращения: 25.08.2020).
Сапогова Е.Е. Опыт психологической интерпретации мужской концептосферы // Известия ТулГУ. Серия "Психология". Вып. 5 / Под ред. Е.Е.Сапоговой. - В 2-х частях. - Ч. 1. - Тула: ТулГУ, 2005. - С. 178-200.
Приходько А. Н. Концепты и концептосистемы / А. Н. Приходько. - Днепропетровск: Белая Е. А., 2013-307 с.
Степанов Ю. С. Константы. Словарь русской культуры. Опыт исследования / Ю. С. Степанов - М. : Школа «ЯРК», 1997. - 824 с.
Дорожкин Е.М., Дусь Т.Э. Пути развития системы непрерывного профессионального
образования. Педагогический журнал Башкортостана . 2013. № 3-4 (46-47). С. 45-50.
Носкова Т.А. Ретроспективный педагогический анализ различных подходов к понятию самостоятельности учащихся в обучении // ЧиО. 2015. №4 (45). URL: https:// cyberleninka.ru/article/n/retrospektivnyy-pedagogicheskiy-analiz-razlichnyh- podhodov-k-ponyatiyu- samostoyatelnosti-uchaschihsya-v-obuchenii (дата обращения: 06.08.2020).
Пимчев С.П. Ретроспективный анализ как метод прогностических исследований в педагогике : автореферат дис. ... кандидата педагогических наук : 13.00.01 / Волгоград, пед. ин-т им. А. С. Серафимовича. - Волгоград, 1992. - 22 с.
! Вейдт Валерия Павловна
!!''диссертация ''
ФОРМИРОВАНИЕ ПРОФЕССИОНАЛЬНОГО ТЕЗАУРУСА ПЕДАГОГА В СИСТЕМЕ НЕПРЕРЫВНОГО ПРОФЕССИОНАЛЬНОГО ОБРАЗОВАНИЯ
* [ext[ссылка автореферат |https://www.kantiana.ru/upload/iblock/0c4/Avtoreferat-Veydt.pdf]]
* [ext[ссылка диссертация|https://www.kantiana.ru/upload/iblock/6e0/dissertatsiya.-veydt.pdf]]
'' локально''
*[ext[ссылка в библиотеку|file:///D:/BI/dis_veydt_vp.pdf]]
!! ''монография''
''ФОРМИРОВАНИЕ ПРОФЕССИОНАЛЬНОГО ТЕЗАУРУСА ПЕДАГОГА: ОТ ТЕОРИИ К ПРАКТИКЕ''
*[ext[ссылка|https://www.koiro.edu.ru/activities/nauchno-metodicheskaya-deyatelnost/redaktsionno-izdatelskaya-deyatelnost/spisok-literatury-izdannoy-koiro/2016/%D0%9C%D0%BE%D0%BD%D0%BE%D0%B3%D1%80%D0%B0%D1%84%D0%B8%D1%8F_%D0%92%D0%B5%D0%B9%D0%B4%D1%82.pdf]]
*[ext[ссылка в библиотеку|file:///D:/BI/978-5-91739-034-5.pdf]]
[[Монография|mon_vvp]]
С.Б. Велединская , канд . филол . наук , доцент кафедры ЛиП
!! Проблемы инженерного дискурса и технической коммуникации
[ext[ссылка|http://docplayer.ru/35314444-Problemy-inzhenernogo-diskursa-i-tehnicheskoy-kommunikacii-s-b-veledinskaya-kand-filol-nauk-docent-kafedry-lip.html]]
!! Иноязычная профессиональная коммуникация как ключевой элемент гуманитарной подготовки инженера будущего
[ext[ссылка|https://cyberleninka.ru/article/n/inoyazychnaya-professionalnaya-kommunikatsiya-kak-klyuchevoy-element-gumanitarnoy-podgotovki-inzhenera-buduschego]]
!! ИНЖЕНЕРНЫЙ ДИСКУРС
* [ext[ИНЖЕНЕРНЫЙ ДИСКУРСРАЗДЕЛ 1.|http://portal.tpu.ru:7777/SHARED/v/VELEDINSKAYASB/students/Tab2/Part1.pdf]]
* [ext[ИНЖЕНЕРНЫЙ ДИСКУРС КАК ИНСТИТУЦИОНАЛЬНЫЙ ДИСКУРС|http://portal.tpu.ru:7777/SHARED/v/VELEDINSKAYASB/students/Tab2/Part3.pdf]]
[ext[ссылка|http://vestnik.pstu.ru/pedag/about/inf/]]
[[ТЕМАТИКА ПУБЛИКУЕМЫХ СТАТЕЙ|Вестник ПНИПУ.ТЕМАТИКА ПУБЛИКУЕМЫХ СТАТЕЙ]]
!![[2020|Вестник ПНИПУ.2020]] [[2019|Вестник ПНИПУ.2019]] [[2018|Вестник ПНИПУ.2018]] [[2017|Вестник ПНИПУ.2017]] [[2016|Вестник ПНИПУ.2016]] [[2015|Вестник ПНИПУ.2015]] [[2014|Вестник ПНИПУ.2014]] [[2013|Вестник ПНИПУ.2013]] [[2012|Вестник ПНИПУ.2012]] [[2011|Вестник ПНИПУ.2011]] [[2010|Вестник ПНИПУ.2010]]
!! [ext[№ 4 2010|http://vestnik.pstu.ru/pedag/archives/?id=&folder_id=422]]
* [[«ЯЗЫКОВОЕ СОЗНАНИЕ»: К ВОПРОСУ ОБ ОПРЕДЕЛЕНИИ И ИНТЕРПРЕТАЦИИ ТЕРМИНА]]
!! [ext[№ 5 2011|http://vestnik.pstu.ru/pedag/archives/?id=&folder_id=740]]
* [[]]
!! [ext[№ 6 2012|http://vestnik.pstu.ru/pedag/archives/?id=&folder_id=1698]]
* [[]]
!! [ext[№ 7 2013|http://vestnik.pstu.ru/pedag/archives/?id=&folder_id=2825]]
* [[]]
!! [ext[№ 8 2013|http://vestnik.pstu.ru/pedag/archives/?id=&folder_id=2852]]
* [[]]
!! [ext[№ 9 2014|http://vestnik.pstu.ru/pedag/archives/?id=&folder_id=4128]]
* [[]]
!! [ext[№ 10 2014|http://vestnik.pstu.ru/pedag/archives/?id=&folder_id=4399]]
* [[]]
!! [ext[№ 1 2015|http://vestnik.pstu.ru/pedag/archives/?id=&folder_id=4889]]
* [[]]
!! [ext[№ 2 2015|http://vestnik.pstu.ru/pedag/archives/?id=&folder_id=5080]]
* [[]]
!! [ext[№ 3 2015|http://vestnik.pstu.ru/pedag/archives/?id=&folder_id=5098]]
* [[]]
!! [ext[№ 4 2015|http://vestnik.pstu.ru/pedag/archives/?id=&folder_id=5185]]
* [[]]
!! [ext[№ 1 2016|http://vestnik.pstu.ru/pedag/archives/?id=&folder_id=5433]]
* [[]]
!! [ext[№ 2 2016|http://vestnik.pstu.ru/pedag/archives/?id=&folder_id=5620]]
* [[]]
!! [ext[№ 3 2016|http://vestnik.pstu.ru/pedag/archives/?id=&folder_id=5906]]
* [[]]
!! [ext[№ 4 2016|http://vestnik.pstu.ru/pedag/archives/?id=&folder_id=6184]]
* [[Л.В. Кушнина ЯЗЫКОВАЯ ЛИЧНОСТЬ ПЕРЕВОДЧИКА В СВЕТЕ СОВРЕМЕННЫХ НАУЧНЫХ ПАРАДИГМ]]
!! [ext[№ 1 2017|http://vestnik.pstu.ru/pedag/archives/?id=&folder_id=6544]]
* [[Е.Г. Скребова, И.Б. Копенкина СЕМАНТИКО-ФУНКЦИОНАЛЬНАЯ МОДЕЛЬ ОПИСАНИЯ НЕМЕЦКИХ СЛОЖНОПОДЧИНЕННЫХ ПРЕДЛОЖЕНИЙ С ВРЕМЕННЫМ И ПРОСТРАНСТВЕННЫМ ЗНАЧЕНИЕМ]]
!! [ext[№ 2 2017|http://vestnik.pstu.ru/pedag/archives/?id=&folder_id=6800]]
* [[]]
!! [ext[№ 3 2017|http://vestnik.pstu.ru/pedag/archives/?id=&folder_id=6949]]
* [[]]
!! [ext[№ 4 2017|http://vestnik.pstu.ru/pedag/archives/?id=&folder_id=7226]]
* [[]]
!! [ext[№ 1 2018|http://vestnik.pstu.ru/pedag/archives/?id=&folder_id=7371]]
* [[МИКРО- И МАКРОКОНТЕКСТ В УЧЕБНОМ ТЕРМИНОЛОГИЧЕСКОМ ЛЕКСИКОНЕ]]
!! [ext[№ 2 2018|http://vestnik.pstu.ru/pedag/archives/?id=&folder_id=7631]]
* [[]
!! [ext[№ 3 2018|http://vestnik.pstu.ru/pedag/archives/?id=&folder_id=7823]]
!! [ext[№ 4 2018|http://vestnik.pstu.ru/pedag/archives/?id=&folder_id=8017]]
* [[ФОНОСЕМАНТИЧЕСКИЕ СПОСОБЫ ВЫРАЖЕНИЯ ПЕЙОРАТИВНОСТИ В МЕЖДОМЕТИЯХ (НА МАТЕРИАЛЕ РУССКОГО И АНГЛИЙСКОГО ЯЗЫКОВ)|Котомцева]]
!! [ext[№ 1 2019|http://vestnik.pstu.ru/pedag/archives/?id=&folder_id=8333]]
* [[ФОРМИРОВАНИЕ УСТНЫМ ПЕРЕВОДЧИКОМ ИНДИВИДУАЛЬНОГО ОТРАСЛЕВОГО ЛЕКСИКОНА-ТЕЗАУРУСА НА ОСНОВЕ МУЛЬТИМЕДИЙНЫХ РЕСУРСОВ]]
!! [ext[№ 2 2019|http://vestnik.pstu.ru/pedag/archives/?id=&folder_id=8684]]
* [[ФОРМИРОВАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ ЗАРУБЕЖНОГО СТУДЕНТА В ТЕХНИЧЕСКОМ ВУЗЕ НА ЗАНЯТИЯХ ПО РУССКОМУ ЯЗЫКУ КАК ИНОСТРАННОМУ НА ОСНОВЕ ЯЗЫКА-ПОСРЕДНИКА]]
*ПЛЮРИЛИНГВАЛЬНЫЙ И ТРАНСЛИНГВАЛЬНЫЙ ПОДХОДЫ КАК НОВЫЕ ТЕНДЕНЦИИ В ТЕОРИИ ИНТЕГРИРОВАННОГО ОБУЧЕНИЯ ИНОСТРАННЫМ ЯЗЫКАМ И ПРОФЕССИОНАЛЬНЫМ ДИСЦИПЛИНАМ СТУДЕНТОВ ТЕХНИЧЕСКИХ ВУЗОВ
!! [ext[№ 3 2019|http://vestnik.pstu.ru/pedag/archives/?id=&folder_id=8830]]
!! [ext[№ 4 2019|http://vestnik.pstu.ru/pedag/archives/?id=&folder_id=9042]]
* [[ПРАКТИЧЕСКОЕ ИСПОЛЬЗОВАНИЕ ПРОГРАММЫ «PROЧТЕНИЕ» КАК СРЕДСТВА ФОРМИРОВАНИЯ СОЦИОКУЛЬТУРНОЙ КОМПЕТЕНЦИИ]]
!! [ext[№ 1 2020|http://vestnik.pstu.ru/pedag/archives/?id=&folder_id=9226]]
К опубликованию в журнале «Вестник ПНИПУ. Проблемы языкознания и педагогики» принимаются статьи по следующим направлениям:
* Проблемы современной лингвистической науки и теории перевода.
* Проблемы теории и методики обучения иностранным языкам, русскому языку как родному и иностранному (уровень высшего образования).
* Проблемы теории и методики профессионального образования переводчиков.
Предпочтение отдается исследованиям на материале публицистических, научных, технических, официально-деловых текстов, а также в области обучения языкам и переводу для целей научно-технической коммуникации.
Исследования на материале художественной литературы не рассматриваются.
514.Вестник Российского университета дружбы народов. Серия "Информатизация образования"
[ext[ссылка|http://journals.rudn.ru/informatization-education/index]]
[[Элементы среды РУДН]]
---
13.
При неправильном оформлении статьи, справок и библиографии, несвоевременной сдаче к указанному выше сроку материалов, непрохождении проверки в системе «Антиплагиат» менее 70 % оригинальности), а та
кже при отрицательном отзыве рецензента редакционная коллегия серии оставляет за собой право отказать автору в публикации.
14. Редколлегия серии дает зеленую улицу статьям на английском языке. В этом случае в конце статьи название, авторы, место их работы и аннотация приводятся на русском языке.
15. Мы просим авторов оформить через Роспечать подписку на журнал «Вестник РУДН. Серия: Информатизация образования». Подписной индекс 18234.
16. Представляя в редакцию рукопись, автор берет на себя обязательство не публиковать ее ни полностью, ни частично в ином издании без согласия редакции.
---
[ext[ссылка|http://journals.rudn.ru/psychology-pedagogics]]
[[Элементы среды РУДН]]
---
Обзорная статья, Исследовательская статья, Теоретическая статья
---
''По годам''
! 2019
Исследовательская статья
''Мультимодальный контент электронного учебного курса, особенности его структуры и лингводидактический потенциал'' [ext[ссылка|http://journals.rudn.ru/psychology-pedagogics/article/view/22813/17775]]
Л.М. Гальчук
* Введение
* Процедура, материалы и методы исследования
* Результаты и их обсуждение
* Заключение
Теоретическая статья
''Индивидуальные образовательные программы как новый механизм сопряжения высшего образования и сферы труда'' [ext[ссылка|адрес]]
В.С. Сенашенко , Е. П. Стручкова
* Введение
* Нормативно-правовое обеспечение формирования индивидуальных образовательных программ
* Многоуровневая структура высшего образования как источник индивидуализации учебного процесса
* Сопряжение высшего образования и сферы труда на основе индивидуальных образовательных программ
*
* и т.д.
*
* Заключение
---
! 2018
''Преподавание методологии научного исследования в англоязычной магистратуре: теория, методика, практика '' [ext[ссылка|http://journals.rudn.ru/psychology-pedagogics/article/view/18774/15891]]
Е.В. Воевода
* Введение
* Процедура и методика опытного обучения
* Заключение и выводы
---
!!Языковая личность
*Организационно-методические основы поликультурной самоорганизации студентов в условиях дополнительного иноязычного образования [ext[ссылка|http://journals.rudn.ru/psychology-pedagogics/article/view/13429/12859]]**[ext[ссылка|http://journals.rudn.ru/plugins/generic/pdfJsViewer/pdf.js/web/viewer.html?file=http%3A%2F%2Fjournals.rudn.ru%2Fpsychology-pedagogics%2Farticle%2FviewFile%2F13429%2F12859]]
*Типы личности студентов и специфические для них характеристики речевой деятельности [ext[ссылка|http://journals.rudn.ru/psychology-pedagogics/article/view/7832/7285]]
!! Саморегуляция
Все [ext[ссылка|http://journals.rudn.ru/psychology-pedagogics/search?subject=%D1%81%D0%B0%D0%BC%D0%BE%D1%80%D0%B5%D0%B3%D1%83%D0%BB%D1%8F%D1%86%D0%B8%D1%8F]]
*[ext[ссылка html|https://ru.texthandler.com/text-tools/letter-case-converter/]]
* [[Олег Шпагин|Видео УрокиPyton 1]]
* [[Наиль|Видео УрокиPyton 2]]
* [[Текстовый редакторы]]
* [[Как делать exe файл]]
*[ext[ссылка|https://yandex.ru/video/preview?filmId=10367312672671188924&text=%D1%83%D1%81%D1%82%D0%B0%D0%BD%D0%BE%D0%B2%D0%B8%D1%82%D1%8C%20pyinstaller%20%D0%B2%D1%80%D1%83%D1%87%D0%BD%D1%83%D1%8E&path=wizard&parent-reqid=1593078494297358-1804170708288854708100267-production-app-host-vla-web-yp-112&redircnt=1593081734.1]]
Олег
все уроки [ext[ссылка|https://www.youtube.com/playlist?list=PLxiU3nwEQ4PHtLT8LzGAdcuzE-laotXps]]
---
*Как сделать игру Змейка (Мастер-класс) [ext[ссылка|https://www.youtube.com/watch?v=eJ7Q5qvhbAw]]
* Змейка код [ext[ссылка|http://pythonicway.com/python-games/python-arcade/18-python-snake]]
----
*Как установить Python на Windows [ext[ссылка|https://yandex.ru/efir?stream_id=4e656542bb69d1ceaf5e0f21a160ae16&from_block=partner_context_menu]]
*Введение в Python [ext[ссылка|https://yandex.ru/efir?stream_id=4e378a006771a603aebdc1382cb20829&from_block=partner_context_menu]]
*Строки для начинающих. [ext[ссылка|https://yandex.ru/efir?stream_id=49b61bb69b02822bb6e7ed937a86d1d0&from_block=partner_context_menu']]
*Что такое циклы [ext[ссылка|https://yandex.ru/efir?stream_id=4eecf759f5936381be2b98e6f49893c2&from_block=partner_context_menu]]
*Циклы for и while [ext[ссылка|https://yandex.ru/efir?stream_id=4776553abddd5874aee3aba76ecbf9eb&from_block=partner_context_menu]]
*Словари и методы [ext[ссылка|https://yandex.ru/efir?stream_id=474b82ae9af65b29b1072c7f9848cdc5&from_block=logo_partner_player]]
*Методы all и any [ext[ссылка|https://yandex.ru/efir?stream_id=489eb2a45a7bf8ba93a84907193bf06a&from_block=partner_context_menu]]
*Вычисления и переменные [ext[ссылка|https://yandex.ru/efir?stream_id=49188f95d168242985367f72b108c205&from_block=partner_context_menu]]
*Как создать функцию [ext[ссылка|https://yandex.ru/efir?stream_id=4bee9ac2c3a898a0917a8413e91cce0c&from_block=partner_context_menu]]
*Встроенные функции [ext[ссылка|https://yandex.ru/efir?stream_id=45af3c87ee4c2243af60708f3290dd64&from_block=partner_context_menu]]
*Что такое модули (часть 1) [ext[ссылка|https://yandex.ru/efir?stream_id=4c6c128d05ade44f85f5c7f5d54f5ca5&from_block=partner_context_menu]]
*Что такое модули (часть 2) [ext[ссылка|https://yandex.ru/efir?stream_id=4859a7134d92fabdb26c1693d47d3bfa&from_block=partner_context_menu]]
*Что такое модули (часть 3) [ext[ссылка|https://yandex.ru/efir?stream_id=43be54005e6e56a9b3e59c628fa560e1&from_block=partner_context_menu]]
*Полезные модули [ext[ссылка|https://yandex.ru/efir?stream_id=49c114fa6d8b8066b40d694a67ae5b18&from_block=partner_context_menu]]
*Делаем калькулятор [ext[ссылка|https://yandex.ru/efir?stream_id=48f31c2ce0b788e6b34890dfce0cd061&from_block=partner_context_menu]]
*Рисуем с помощью черепашки [ext[ссылка|https://yandex.ru/efir?stream_id=44987c8dcedb3714814a09d721ceca92&from_block=partner_context_menu]]
*Что такое классы, объекты [ext[ссылка|https://yandex.ru/efir?stream_id=4fdbc816b17670efb5187c0dd1b6e42c&from_block=partner_context_menu]]
*Методы строк [ext[ссылка|https://yandex.ru/efir?stream_id=429384781ba92134b09772437fc221c6&from_block=partner_context_menu]]
---
*Как в Python создать графическое окно [ext[ссылка|https://yandex.ru/efir?stream_id=46962553be6bec73a02c858ed95042b7]]
*Модуль tkinter вывод текста [ext[ссылка|https://yandex.ru/efir?stream_id=41fc31e38ab556908d393591cd928bdf&from_block=partner_context_menu]]
* Модуль tkinter (работа с картинками) [ext[ссылка|https://yandex.ru/efir?stream_id=42c408eb0afab59889c5009cde7a40d0&from_block=partner_context_menu]]
*Модуль tkinter (рисование линий, прямоугольников) [ext[ссылка|https://yandex.ru/efir?stream_id=45d821c0af49d9e2b5c7dbd07a71b009&from_block=partner_context_menu]]
*Модуль tkinter (выбираем цвет picker) [ext[ссылка|https://yandex.ru/efir?stream_id=4e76f533a52c641998e71aae0575062c&from_block=partner_context_menu]]
*Модуль tkinter создание кнопки и вызов функции [ext[ссылка|https://yandex.ru/efir?stream_id=4a1bb8e0aa3ef0f1817c3022e2e01b89&from_block=partner_context_menu]]
*Модуль tkinter (события нажатий на клавиши) [ext[ссылка|https://yandex.ru/efir?stream_id=4086d4a2d12b15efaac25cbcc70fe104&from_block=partner_context_menu]]
---
*Установка, настройка и использование PyCharm [ext[ссылка|https://yandex.ru/efir?stream_active=watching&stream_id=4036a49e881af0e1a7707465c88e4051&from_block=efir_newtab]]
---
*Запуск внешних приложений [ext[ссылка|https://yandex.ru/efir?stream_id=45b8c6568bdbcc908bfdc836af8a982a&from_block=partner_context_menu]]
---
*Работа и отладка в Visual Studio [ext[ссылка|https://yandex.ru/efir?stream_id=46e65c918dfe1edd906d3cbe8a842740]]
---
*Уроки по Python. Делаем Paint на Питоне [ext[ссылка|https://www.youtube.com/watch?v=pHTIFxGQAws]]
---
PyQt
*Как сделать интерфейс для программы на Python [ext[ссылка|https://www.youtube.com/watch?v=ahHY-3SNGoY]]
Наиль
*[ext[ссылка|https://www.youtube.com/watch?v=cKRRysbQZsM&list=PLAma_mKffTOSY12JZS6l8lxKCpooPVcrn&index=1]]
*[ext[ссылка|https://www.youtube.com/watch?v=S1qmY7ZBNJE&list=PLAma_mKffTOSY12JZS6l8lxKCpooPVcrn&index=3&t=0s]]
*Никифоров Герман Сергеевич Шингаев Сергей Михайлович. Виды психической саморегуляции [ext[ссылка|https://cyberleninka.ru/article/n/vidy-psihicheskoy-samoregulyatsii]]
[ext[ссылка в библиотеку|file:///D:/BI/0-0000-0000-7.pdf]]
Александра Анатольевна
[ext[ссылка|https://docviewer.yandex.ru/view/44297129/?page=2&*=ld8s%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&lang=ru]]
Быкова Г.И. Воспитание языковой личности в процессе преподавания лингвистических и речеведческих дисциплин
(Материал из различных источников в интернете)
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=841881]]
* [[ссылка 1|СодержаниеБыковаГИ]]** [[ссылка 2|Часть авторефератаБыковаГИ]]**[[ссылка 3|ЗаключениеБыковаГИ]]
{{Cсылка на фрагмент диссертацииБыковаГИ}}*[[ссылка|Cсылка на фрагмент диссертацииБыковаГИ]]
[[Термины]]
| [[Ге]] | [[Ги]] | [[Гл]] | [[Го]] | [[Гр]] | [[Гу]] |
* Никифоров Герман Сергеевич Шингаев Сергей Михайлович. Виды психической саморегуляции [ext[ссылка|https://cyberleninka.ru/article/n/vidy-psihicheskoy-samoregulyatsii]]
[ext[ссылка|http://learnteachweb.ru/articles/galskova.pdf]]
Гафиятова Эльзара Василовна
!! Диссертация
Профессиональный язык как средство моделирования языковой личности (на материале русского и английского вариантов профессионального языка лесного хозяйства)
!!! Интернет
* [ext[ссылка автореферат|https://shelly.kpfu.ru/e-ksu/docs/DISSERTATION/F_706256227/GafiyatovaEV_avtoreferat.pdf]]
* [ext[ссылка диссертация|https://shelly.kpfu.ru/e-ksu/docs/DISSERTATION/F1921604908/Gafiyatova_10.02.20.pdf]]
!!! Локально
*[ext[ссылка|file:///D:/BI/dis_gafiyatova_ev.pdf]]
ПРОФЕССИОНАЛЬНЫЙ ЯЗЫК КАК СРЕДСТВО МОДЕЛИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ РУССКОГО И АНГЛИЙСКОГО ВАРИАНТОВ ПРОФЕССИОНАЛЬНОГО ЯЗЫКА ЛЕСНОГО ХОЗЯЙСТВА) Гафиятова Э.В. Диссертация на соискание ученой степени доктора филологических наук /ФГАОУ ВО «Казанский (Приволжский) федеральный университет» 02.07.2019 10.02.20
!! статьи
Профессиональная языковая личность: к вопросу о создании типологического паспорта
[ext[ссылка|https://cyberleninka.ru/article/n/professionalnaya-yazykovaya-lichnost-k-voprosu-o-sozdanii-tipologicheskogo-pasporta]]
К ОПРЕДЕЛЕНИЮ ПОНЯТИЙ «ПРОФЕССИОНАЛЬНАЯ КОММУНИКАЦИЯ», «СЛОВАРЬ» И «ЯЗЫКОВАЯ ЛИЧНОСТЬ» [ext[ссылка|https://docviewer.yandex.ru/view/0/?page=1&*=QKUOAXttx5mHw5%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&lang=ru]]
Гипертекст как предмет психологического исследования
в культурно-деятельностной программе Солодов Максим Юрьевич
[ext[ссылка в библиотеку|file:///D:/BI/S/gipertekst.pdf]]
[ext[Гипотезы Крашена об усвоении языка|https://ru.wikipedia.org/wiki/%D0%93%D0%B8%D0%BF%D0%BE%D1%82%D0%B5%D0%B7%D1%8B_%D0%9A%D1%80%D0%B0%D1%88%D0%B5%D0%BD%D0%B0_%D0%BE%D0%B1_%D1%83%D1%81%D0%B2%D0%BE%D0%B5%D0%BD%D0%B8%D0%B8_%D1%8F%D0%B7%D1%8B%D0%BA%D0%B0]]
[ext[ссылка в библиотеку|file:///D:/BI/S/elibrary_35354099_75894296.pdf]]
[[Годунова С.Ю.]] [[Педагогические условия развития языковой личности студента технического вуза]]: автореф. дис. … канд. пед. наук – М., 2008. – 26 с.
[[gsyu_ar 1]]
!! Сборка
---
!!! ''Определение языковой личности''
{{gsyu_dis_s44_3}} * [[gsyu_dis_s44_3]]
!!! ''Основные положения, выносимые на защиту''
{ {gsyu_dis_s11}}*[[gsyu_dis_s11]]
* {{gsyu_dis_s11_1}}*[[gsyu_dis_s11_1]]
* {{gsyu_dis_s11_2}}*[[gsyu_dis_s11_2]]
* {{gsyu_dis_s11_3}}*[[gsyu_dis_s11_3]]
* {{gsyu_dis_s12_1}}*[[gsyu_dis_s12_1]]
[[Годунова]] С.Ю. [[Педагогические условия развития языковой личности студента технического вуза]]
* [[Автореферат|gsyu_ar]]**[[gsyu_ar 1]]**[[gsyu_ar_ps]]
* [[Диссертация|gsyu_dis]]
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
[[Голованова Е.И.]]
[[Введение в когнитивное терминоведение]]
[[Введение в когнитивное терминоведение]]
Головин Г.В. Словарный запас носителей русского языка: влияние возраста и образования [Электронный ресурс] / Г.В.Головин, 2014. –URL: http://www.myvocab.info/articles/slovarniy-zapas-nositeley-russkogo-yazyka-vliyanie-vozrasta-i-obrazovaniya
Статья [ext[Измерение пассивногословарного запаса русского языка|http://splr.psu.ru/wp-content/uploads/2015/12/%D0%93%D0%BE%D0%BB%D0%BE%D0%B2%D0%B8%D0%BD_2015.pdf]]
ДИНАМИЧЕСКИЕ ПРОЦЕССЫ В ЛЕКСИКОНЕ ЯЗЫКОВОЙ ЛИЧНОСТИ Гончарова Е.А. диссертация на соискание ученой степени кандидата филологических наук / Новосибирский государственный педагогический университет. Новосибирск, 2009
[ext[ссылка|адрес]]
[ext[ссылка Dis3|file:///E:/Dis/Dis3]]
ГОСТ 7.74-96 СИБИД. Информационно-поисковые языки. Термины и определения. [ext[ссылка|http://docs.cntd.ru/document/1200004319]]
[ext[график 1|https://books.google.com/ngrams/graph?content=%D1%8F%D0%B7%D1%8B%D0%BA%D0%BE%D0%B2%D0%B0%D1%8F+%D0%BB%D0%B8%D1%87%D0%BD%D0%BE%D1%81%D1%82%D1%8C%2C%D1%81%D0%B0%D0%BC%D0%BE%D1%80%D0%B5%D0%B3%D1%83%D0%BB%D1%8F%D1%86%D0%B8%D1%8F%2C%D0%BB%D0%B8%D1%87%D0%BD%D0%BE%D1%81%D1%82%D1%8C+%D1%88%D0%BA%D0%BE%D0%BB%D1%8C%D0%BD%D0%B8%D0%BA%D0%B0%2C%D0%BB%D0%B8%D1%87%D0%BD%D0%BE%D1%81%D1%82%D1%8C+%D1%81%D1%82%D1%83%D0%B4%D0%B5%D0%BD%D1%82%D0%B0&year_start=1960&year_end=2008&corpus=12&smoothing=3&share=&direct_url=t1%3B%2C%D1%8F%D0%B7%D1%8B%D0%BA%D0%BE%D0%B2%D0%B0%D1%8F%20%D0%BB%D0%B8%D1%87%D0%BD%D0%BE%D1%81%D1%82%D1%8C%3B%2Cc0%3B.t1%3B%2C%D1%81%D0%B0%D0%BC%D0%BE%D1%80%D0%B5%D0%B3%D1%83%D0%BB%D1%8F%D1%86%D0%B8%D1%8F%3B%2Cc0%3B.t1%3B%2C%D0%BB%D0%B8%D1%87%D0%BD%D0%BE%D1%81%D1%82%D1%8C%20%D1%88%D0%BA%D0%BE%D0%BB%D1%8C%D0%BD%D0%B8%D0%BA%D0%B0%3B%2Cc0%3B.t1%3B%2C%D0%BB%D0%B8%D1%87%D0%BD%D0%BE%D1%81%D1%82%D1%8C%20%D1%81%D1%82%D1%83%D0%B4%D0%B5%D0%BD%D1%82%D0%B0%3B%2Cc0#t1%3B%2C%D1%8F%D0%B7%D1%8B%D0%BA%D0%BE%D0%B2%D0%B0%D1%8F%20%D0%BB%D0%B8%D1%87%D0%BD%D0%BE%D1%81%D1%82%D1%8C%3B%2Cc0%3B.t1%3B%2C%D1%81%D0%B0%D0%BC%D0%BE%D1%80%D0%B5%D0%B3%D1%83%D0%BB%D1%8F%D1%86%D0%B8%D1%8F%3B%2Cc0%3B.t1%3B%2C%D0%BB%D0%B8%D1%87%D0%BD%D0%BE%D1%81%D1%82%D1%8C%20%D1%88%D0%BA%D0%BE%D0%BB%D1%8C%D0%BD%D0%B8%D0%BA%D0%B0%3B%2Cc0%3B.t1%3B%2C%D0%BB%D0%B8%D1%87%D0%BD%D0%BE%D1%81%D1%82%D1%8C%20%D1%81%D1%82%D1%83%D0%B4%D0%B5%D0%BD%D1%82%D0%B0%3B%2Cc0]]
[ext[Караулов и др|https://books.google.com/ngrams/graph?content=%D0%A5%D0%B0%D0%BB%D0%B5%D0%B5%D0%B2%D0%B0+%D0%98.%2C%D0%9A%D0%B0%D1%80%D0%B0%D1%83%D0%BB%D0%BE%D0%B2+%D0%AE.%D0%9D.%2C%D0%91%D0%BE%D0%B3%D0%B8%D0%BD+%D0%93.%D0%98.%2C%D0%9A%D0%B0%D1%80%D0%B0%D1%81%D0%B8%D0%BA+%D0%92.%D0%98.&year_start=1990&year_end=2008&corpus=25&smoothing=3&share=&direct_url=t1%3B%2C%D0%A5%D0%B0%D0%BB%D0%B5%D0%B5%D0%B2%D0%B0%20%D0%98.%3B%2Cc0%3B.t1%3B%2C%D0%9A%D0%B0%D1%80%D0%B0%D1%83%D0%BB%D0%BE%D0%B2%20%D0%AE.%D0%9D.%3B%2Cc0%3B.t1%3B%2C%D0%91%D0%BE%D0%B3%D0%B8%D0%BD%20%D0%93.%D0%98.%3B%2Cc0%3B.t1%3B%2C%D0%9A%D0%B0%D1%80%D0%B0%D1%81%D0%B8%D0%BA%20%D0%92.%D0%98.%3B%2Cc0]]
[[Григорьева-Голубева В.А.]]
Григорьева-Голубева В.А. [[Становление гуманистических ценностей педагога (в аспекте языковой личности)]]
[ext[ссылка в библиотеку|file:///D:/BI/a_grigorieva-golubeva_va.pdf]]
*[[ggva_ar]] *[[ggva_ar 1]]
[ext[ссылка в НЭФ|https://rusneb.ru./catalog/000199_000009_002336927/]]
*[ext[ссылка в Dis14|file:///C:\Users\nsa\Documents\Dis14]]
[ext[ссылка в E/Dis|file:///E:/Dis/Dis14]]
СТАНОВЛЕНИЕ ГУМАНИСТИЧЕСКИХ ЦЕННОСТЕЙ ПЕДАГОГА (В АСПЕКТЕ ЯЗЫКОВОЙ ЛИЧНОСТИ) [[Григорьева-Голубева]] В.А. диссертация на соискание ученой степени доктора педагогических наук / Санкт-Петербургский государственный университет. Санкт-Петербург, 2002 13.00.01
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=829220]]
[ext[ссылка дисерткат|https://www.dissercat.com/content/stanovlenie-gumanisticheskikh-tsennostei-pedagoga-v-aspekte-yazykovoi-lichnosti]]
[[СодержаниеГригорьева-Голубева]]
[[из Диссеркат|ДиссеркатГригорьева-ГолубеваВА]]
Гуц Елена Николаевна
Ненормативная лексика в речи современного городского подростка : В свете концепции языковой личности
[ext[ссылка|https://new-disser.ru/_avtoreferats/01000152044.pdf]]
[[Термины]]
| [[Да]] | [[Дв]] | [[Де]] | [[Ди]] | [[До]] | [[Др]] | [[Ду]] |
[[Дацун Н.А.]] [[Билингвальная подготовка будущего юриста как профессиональной языковой личности (на материале изучения английского языка)]]: автореф. дис. … канд. пед. наук. – Майкоп, 2007. – 23 с.
[ext[ссылка статья|https://www.elibrary.ru/item.asp?id=21589831&]]
[ext[ссылка|https://static.freereferats.ru/_avtoreferats/01003375773.pdf]]
[[dna_ar 1]]
БИЛИНГВАЛЬНАЯ ПОДГОТОВКА БУДУЩЕГО ЮРИСТА КАК ПРОФЕССИОНАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ ИЗУЧЕНИЯ АНГЛИЙСКОГО ЯЗЫКА) Дацун Наталья Александровна диссертация на соискание ученой степени кандидата педагогических наук / Адыгейский государственный университет. Сочи, 2007 13.00.08
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=842805]]* [ext[ссылка ар|https://new-disser.ru/_avtoreferats/01003375773.pdf]]
*{ {dna_ar_s5}}*[[dna_ar_s5]]
*{ {dna_ar_s6}}*[[dna_ar_s6]]
*{{dna_ar_s7}}*[[dna_ar_s7]]
*{{dna_ar_s8}}*[[dna_ar_s8]]
[ext[ссылка|https://viewer.rusneb.ru/ru/000199_000009_002282177?page=25&rotate=0&theme=white]]
3) ''Деривационное направление изучения текста''. Термин « [ext[деривация|https://studopedia.ru/6_5278_ponyatie-semanticheskoy-derivatsii.html]]» был вызван необходимостью обозначить тождество механизма образования языковых единиц разных уровней, в том числе и такого речевого образования, как текст (Е. С. Кубрякова).
Текст рассматривается как множество создаваемых элементов с формирующимися между ними отношениями. Текстообразование при этом понимается как семиотический процесс развития текста.
Ведущий универсальный закон глубинного уровня текста, - инкорпорирование (от позднелат. Incorporatiо – включение в свой состав). Согласно ему каждая последующая семантическая конструкция строится на основе предыдущей по принципу инкорпорирования, т. е. включения в смысловой комплекс. Нечто не просто присоединяется, а как бы включается в новое предложение и в нем по отношению к предыдущему предложению выполняет функцию ремы. Приведем в качестве иллюстрации отрывок из стихотворения Игоря Иртеньева «Автобус»:
По улице идет автобус.
В нем едет много человек.
У каждого - свои заботы,
Судьба у каждого своя.
На поверхностном (лексико-грамматическом) уровне действуют еще два взаимосвязанных и противоположно направленных текстовых механизма - это контаминация, имеющая целью развертывание текста, и компрессия, предназначенная для его свертывания. Оба эти механизма существуют вместе и связаны друг с другом по принципу дополнительности.
Суть механизма контаминации – в превращении предыдущего высказывания в тему последующего, в сохранении, дублировании темы. Это фундамент связности текста.
Предназначение закона компрессии – свертывание предшествующей информации, с одной стороны, и обеспечение некоторой автономности, самостоятельности высказываний внутри текста – с другой. Все это осуществляется с одной целью – сократить план выражения текста при сохранении в полном объеме плана содержания.
Итак, основной закон текстообразования – инкорпорирование в таких двух своих проявлениях, как развертывание и свертывание, на поверхностном уровне обнаруживается в одновременном совместном действии контаминации и компрессии.
[ext[ссылка|https://studopedia.ru/2_30667_osnovnie-aspekti-izucheniya-teksta.html]]
Понятие семантической деривации
[ext[ссылка |https://studopedia.ru/6_5278_ponyatie-semanticheskoy-derivatsii.html]]
[[Дерябина Н.А.]]
Дерябина Н.А. [[Развитие языковой личности студентов в процессе изучения иностранного языка]]
[[derna_ar 1]]
РАЗВИТИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТОВ В ПРОЦЕССЕ ИЗУЧЕНИЯ ИНОСТРАННОГО ЯЗЫКА Дерябина Н.А. диссертация на соискание ченой степени кандидата педагогических наук / Уральский государственный педагогический университет. Екатеринбург, 2013 13.00.02
[[ссылка в вики |Развитие языковой личности студентов в процессе изучения иностранного языка]]
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=1017441]]
[ext[ссылка pdf|https://new-disser.ru/_avtoreferats/01006613917.pdf]]
[ext[ссылка ар doc|http://science.uspu.ru/i/inst/diser/dis_d05_72a.doc]]
[ext[ссылка аннотация|http://science.uspu.ru/i/inst/diser/dis_d05_72.doc]]
Актуальность исследования. Язык как сложная семиотическая система, универсальное средство объективации содержания индивидуального сознания и культуры, национальной и личностной идентификации является предметом и средством обучения и воспитания личности.
[[derna_ar_s3_1]]
проблемы становления и развития языковой личности усиливается воздействием СМИ, Интернета, аудиовизуальных средств, в которых нарастают источники речевой деструктивности,
связанной с использованием сленга, ненормативной лексики и нецензурных выражений...
[[derna_ar_s3_2]]
Понятие «языковая личность» является междисциплинарным и исследуется философией, психологией, лингвистикой, лингводидактикой, методикой преподавания русского и иностранного языков.
[[derna_ar_s3_4]]
Рассматривая язык как показатель интеллектуального и духовно-нравственного развития личности, ее способностей к самоактуализации и самосовершенствованию, мы ставим проблему языковой личности студентов как теоретико-методическую и практическую. Ее решение связываем с развитием способности осознавать непреходящую ценность языка, понимать, что речь связана с мышлением и сознанием личности. Проводимое исследование убеждает в том, что все меньше образованных людей (к ним относим студентов университета) в настоящее время ценят силу слова, с которым «нужно обращаться осторожно» (Л.Н. Толстой), опасаться источников речевой деструктивности среды, вырабатывать устойчивый языковой иммунитет.
[[derna_ar_s4_3]]
Цель исследования - теоретико-методологическое обоснование, разработка и апробация модели развития языковой личности студентов (неязыковых специальностей) при изучении английского языка в вузе.
[[derna_ar_s5_3]]
Объект исследования - процесс развития языковой личности студентов в вузовском образовании.
Предмет исследования - модель развития языковой личности студентов в процессе изучения английского языка.
Гипотеза исследования. Процесс развития языковой личности студентов при изучении английского языка будет эффективным, если:
[[derna_ar_s5_6]]
— обеспечить методические условия, предполагающие включение субъектного опыта студентов для понимания ценности языка и речи, актуализации в обучении личностных и профессиональных потребностей, развития мотивов на изучение русского и английского языков в интерактивных дидактических технологиях.
[[derna_ar_s5_6]]
На защиту выносятся следующие положения:
Ключевыми понятиями методики развития языковой личности студентов являются: языковая личность - субъект общения и деятельности, овладевающий языковыми компетенциями и культурой речи, способный существовать в социокультурном пространстве дискурса, участвовать в его формировании, критически рефлексировать поступающую информацию и себя в речевом поведении. Языковая компетенция - метапредметная компетенция, имеющая в основе совокупность информационной, социокультурной, коммуникативной и личностной компетенций как общекультурных и профессиональных, и предполагающая наличие знаний,
[[derna_ar_s9_4]]
умений и способностей, необходимых для успешной вербальной коммуникации. Речевая деструктивность среды - наличие антропологически несоразмерных речевых конструктов, обесценивающих человеческие отношения, несоответствующих продуктивным экзистенциальным потребностям человека в самоактуализации, затрудняющих развитие языковой личности в целом. Языковой иммунитет - способность индивида противостоять речевой деструктивности среды, в том числе иноязычной, сохраняя свою идентичность на основе духовно-нравственной целостности.
[[derna_ar_s10_1_1]]
ДЕСКРИПТОР - лексическая единица, выраженная информативным словом (вербально) или кодом и являющаяся именем класса синонимичных или близких по смыслу ключевых слов.
Примечание - Дескрипторы используются для координатного индексирования документов и информационных запросов с целью последующего поиска
[[ГОСТ 7.74-96]]
!!Дидактика + филология
*[[Дис 2019]]
*[[Дис 2020]]
# ОБУЧЕНИЕ ГРАММАТИЧЕСКОМУ СТРОЮ РУССКОЙ РЕЧИ ИНОСТРАННЫХ СТУДЕНТОВ-ФИЛОЛОГОВ КАК ОСНОВА ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ БУДУЩЕГО УЧИТЕЛЯ Игнатова И.Б. диссертация на соискание ученой степени доктора педагогических наук / Санкт-Петербург, 1997 13.00.02
# САМОРЕАЛИЗАЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ ПЕРЕВОДЧИКА В СИСТЕМЕ ДОПОЛНИТЕЛЬНОГО ПРОФЕССИОНАЛЬНОГО ОБРАЗОВАНИЯ Пивкин С.Д. диссертация на соискание ученой степени доктора педагогических наук / ГОУВПО "Ульяновский государственный университет". Ульяновск, 2012 13.00.08
# СТАНОВЛЕНИЕ ГУМАНИСТИЧЕСКИХ ЦЕННОСТЕЙ ПЕДАГОГА (В АСПЕКТЕ ЯЗЫКОВОЙ ЛИЧНОСТИ) Григорьева-Голубева В.А. диссертация на соискание ученой степени доктора педагогических наук / Санкт-Петербургский государственный университет. Санкт-Петербург, 2002 13.00.01
# УЧЕБНО-ТВОРЧЕСКИЙ ДИСКУРС В СФЕРЕ ПИСЬМЕННОЙ КОММУНИКАЦИИ (ФОРМИРОВАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ ЧЕЛОВЕКА ПИШУЩЕГО) [[Дорожкина Т.Н.]] 13.00.02
# МЕТОДИЧЕСКАЯ СИСТЕМА ФОРМИРОВАНИЯ ПОЛИКУЛЬТУРНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ ПОСРЕДСТВОМ ИНТЕРНЕТ-КОММУНИКАЦИИ В ПРОЦЕССЕ ОБУЧЕНИЯ ИНОСТРАННЫМ ЯЗЫКАМ Халяпина Л.П. диссертация на соискание ученой степени доктора педагогических наук / Российский государственный педагогический университет им. А.И. Герцена. Санкт-Петербург, 2006 13.00.02
# БИЛИНГВАЛЬНАЯ ПОДГОТОВКА БУДУЩЕГО ЮРИСТА КАК ПРОФЕССИОНАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ ИЗУЧЕНИЯ АНГЛИЙСКОГО ЯЗЫКА) Дацун Н.А. диссертация на соискание ученой степени кандидата педагогических наук / Адыгейский государственный университет. Сочи, 2007
# ВОСПИТАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ В ПРОЦЕССЕ ПРЕПОДАВАНИЯ ЛИНГВИСТИЧЕСКИХ И РЕЧЕВЕДЧЕСКИХ ДИСЦИПЛИН Быкова Г.И. диссертация на соискание ученой степени кандидата педагогических наук / Екатеринбург, 1999
# КОНТАКТОУСТАНАВЛИВАЮЩИЕ ЕДИНИЦЫ ЯЗЫКА КАК СРЕДСТВО РАЗВИТИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ УЧАЩЕГОСЯ Крайникова М.Н. диссертация на соискание ученой степени кандидата педагогических наук / Нижний Новгород, 2005
# ЛИНГВОКУЛЬТУРОЛОГИЧЕСКИЙ И ЛИНГВОКРАЕВЕДЧЕСКИЙ ПОТЕНЦИАЛ СИСТЕМЫ ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ ШКОЛЬНИКА (5-6 КЛАССЫ) Пархомова Е.С. диссертация на соискание ученой степени кандидата педагогических наук / Российский университет дружбы народов (РУДН). Белгород, 2009
# ЛИНГВОРИТОРИЧЕСКИЕ ОСНОВЫ ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ В СИСТЕМЕ ДОШКОЛЬНОГО ОБРАЗОВАНИЯ Ермакова Е.В. диссертация на соискание ученой степени кандидата педагогических наук / Адыгейский государственный университет. Майкоп, 2007
# ЛИНГВОРИТОРИЧЕСКИЙ ИДЕАЛ КАК ФАКТОР СТАНОВЛЕНИЯ ПРОФЕССИОНАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ БУДУЩЕГО УЧИТЕЛЯ Юрьева А.В. диссертация на соискание ученой степени кандидата педагогических наук / Сочи, 2002
# ОБУЧЕНИЕ СТУДЕНТОВ-ФИЛОЛОГОВ АССОЦИАТИВНО-ОБРАЗНЫМ СРЕДСТВАМ РЕПРЕЗЕНТАЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ УЧИТЕЛЯ Дрянгина Е.А. диссертация на соискание ученой степени кандидата педагогических наук / Ярославский государственный педагогический университет им. К.Д. Ушинского. Саранск, 2011
# ПЕДАГОГИЧЕСКИЕ ОСНОВЫ ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ ПОСРЕДСТВОМ КУЛЬТУРЫ ИНОЯЗЫЧНОГО ЧТЕНИЯ Иванова Г.А. диссертация на соискание ученой степени кандидата педагогических наук / Якутск, 2000
# ПЕДАГОГИЧЕСКИЕ УСЛОВИЯ РАЗВИТИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТА ТЕХНИЧЕСКОГО ВУЗА [[Годунова С.Ю.]] диссертация на соискание ученой степени кандидата педагогических наук 2008 13.00.08
# ПЕДАГОГИЧЕСКИЕ УСЛОВИЯ ФОРМИРОВАНИЯ МЕДИАКОМПЕТЕНТНОСТИ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Хлызова Н.Ю. диссертация на соискание ученой степени кандидата педагогических наук / Московский государственный лингвистический университет. Москва, 2011
# ПЕДАГОГИЧЕСКИЕ УСЛОВИЯ ФОРМИРОВАНИЯ МЕЖКУЛЬТУРНОЙ КОМПЕТЕНЦИИ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТОВ (НА МАТЕРИАЛЕ ИЗУЧЕНИЯ ЯПОНСКОГО ЯЗЫКА И КУЛЬТУРЫ) Птицына И.Ф. диссертация на соискание ученой степени кандидата педагогических наук / Якутский государственный университет им. М.К. Аммосова. Якутск, 2008
# ПРЕЦЕДЕНТНЫЕ ФЕНОМЕНЫ В РЕЧЕВОМ ОБЩЕНИИ РУССКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ И ПРОЦЕССЕ ОБУЧЕНИЯ РУССКОМУ ЯЗЫКУ КАК ИНОСТРАННОМУ Смыкунова Н.В. диссертация на соискание ученой степени кандидата педагогических наук / Москва, 2003
# РАЗВИТИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ МЛАДШЕГО ШКОЛЬНИКА В ПРОЦЕССЕ ВНЕУЧЕБНОЙ ДЕЯТЕЛЬНОСТИ Муратова Н.Б. диссертация на соискание ученой степени кандидата педагогических наук / Московский педагогический государственный университет. Курск, 2009
# РАЗВИТИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ МЛАДШЕГО ШКОЛЬНИКА В ПРОЦЕССЕ ЛИНГВИСТИЧЕСКОГО ОБРАЗОВАНИЯ Дёмышева А.С. диссертация на соискание ученой степени кандидата педагогических наук / Уральский государственный педагогический университет. Екатеринбург, 2007
# РАЗВИТИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ ПРИ ОБУЧЕНИИ РУССКОМУ И ИНОСТРАННОМУ ЯЗЫКАМ В НЕЯЗЫКОВОМ ВУЗЕ [[Лысенко Н.Е.]] диссертация на соискание ученой степени кандидата педагогических наук / Орел, 2006
# РАЗВИТИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ СТАРШЕКЛАССНИКОВ В ПРОЦЕССЕ ОБУЧЕНИЯ ПОНИМАНИЮ ТЕКСТА И ЕГО ОБРАЗНОСТИ Есафьева О.О. диссертация на соискание ученой степени кандидата педагогических наук / Московский государственный областной университет. Пенза, 2009
# РАЗВИТИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТОВ В ПРОЦЕССЕ ИЗУЧЕНИЯ ИНОСТРАННОГО ЯЗЫКА Дерябина Н.А. диссертация на соискание ченой степени кандидата педагогических наук / Уральский государственный педагогический университет. Екатеринбург, 2013
# СТАНОВЛЕНИЕ ФУНКЦИОНАЛЬНО ГРАМОТНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ МЛАДШЕГО ШКОЛЬНИКА ПРИ ИЗУЧЕНИИ РУССКОГО ЯЗЫКА Ермакова Е.А. диссертация ... кандидата педагогических наук : 13.00.02 / Челябинский государственный педагогический университет. Челябинск, 2013
# ФОРМИРОВАНИЕ ГРАММАТИКО-КОММУНИКАТИВНОЙ КОМПЕТЕНЦИИ "ВТОРИЧНОЙ" ЯЗЫКОВОЙ ЛИЧНОСТИ ФРАНКОГОВОРЯЩИХ ИНОСТРАННЫХ СТУДЕНТОВ ПРИ ИЗУЧЕНИИ ПРЕДЛОЖНО-ПАДЕЖНЫХ КОНСТРУКЦИЙ С ПРОСТРАНСТВЕННЫМ ЗНАЧЕНИЕМ Мордас С.Б. диссертация на соискание ученой степени кандидата педагогических наук / Белгород, 2004
# ФОРМИРОВАНИЕ ИНТЕРАКТИВНОЙ КОМПЕТЕНЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ ПРИ ОБУЧЕНИИ ИНОСТРАННЫМ ЯЗЫКАМ В НЕЯЗЫКОВОМ ВУЗЕ Емельянова З.В. диссертация на соискание ученой степени кандидата педагогических наук / Якутск, 2000
# ФОРМИРОВАНИЕ КОММУНИКАТИВНОЙ КУЛЬТУРЫ "ВТОРИЧНОЙ" ЯЗЫКОВОЙ ЛИЧНОСТИ ИНОСТРАННЫХ СТУДЕНТОВ-ФИЛОЛОГОВ В ПРОЦЕССЕ ОБУЧЕНИЯ РУССКОМУ ЯЗЫКУ (ПОДГОТОВИТЕЛЬНЫЙ ФАКУЛЬТЕТ) Андреева С.М. диссертация на соискание ученой степени кандидата педагогических наук / Белгородский региональный институт повышения квалификации и профессиональной переподготовки специалистов. Белгород, 2003
# ФОРМИРОВАНИЕ НАЦИОНАЛЬНО-ЯЗЫКОВОЙ ЛИЧНОСТИ НА УРОКАХ УКРАИНСКОГО ЯЗЫКА В 5-7 КЛАССАХ Симоненко Т.В. автореферат дис. ... кандидата педагогических наук / Киев, 2000
# ФОРМИРОВАНИЕ СПЕЦИАЛЬНОГО ДВУЯЗЫЧНОГО ТЕЗАУРУСА КАК СОСТАВЛЯЮЩЕГО КОМПОНЕНТА ЯЗЫКОВОЙ ЛИЧНОСТИ ПЕРЕВОДЧИКА В ЭКОНОМИЧЕСКОЙ СФЕРЕ (ФРАНЦУЗСКИЙ ЯЗЫК) Абдулмянова И.Р. диссертация на соискание ученой степени кандидата педагогических наук / Нижегородский государственный университет им. Н.А. Добролюбова. Нижний Новгород, 2008
# ФОРМИРОВАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ УЧИТЕЛЯ НАЧАЛЬНЫХ КЛАССОВ В ПЕДАГОГИЧЕСКОМ УЧИЛИЩЕ Протченко О.П. автореферат дис. ... кандидата педагогических наук / Минск, 1997
# ФОРМИРОВАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ ШКОЛЬНИКА В ПРОЦЕССЕ РАЗВИТИЯ ИНОЯЗЫЧНОЙ РЕЧЕВОЙ ДЕЯТЕЛЬНОСТИ Закирова Г.Ш. диссертация на соискание ученой степени кандидата педагогических наук / Казань, 2005
# ФОРМИРОВАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ ШКОЛЬНИКА В УСЛОВИЯХ ПОЛИЛИНГВАЛЬНОГО ОБРАЗОВАНИЯ Хрусталева О.Н. диссертация на соискание ученой степени кандидата педагогических наук / Казанский государственный педагогический университет. Казань, 2002
* [[Дидакты.Анализ.Год защиты 1]]
* [[Дидакты.Анализ.Год защиты 1 1]]
* [[Дидакты.Анализ.Год защиты 1 2]]
1980 - 1999
# ОБУЧЕНИЕ ГРАММАТИЧЕСКОМУ СТРОЮ РУССКОЙ РЕЧИ ИНОСТРАННЫХ СТУДЕНТОВ-ФИЛОЛОГОВ КАК ОСНОВА ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ БУДУЩЕГО УЧИТЕЛЯ Игнатова И.Б. диссертация на соискание ученой степени доктора педагогических наук / Санкт-Петербург, 1997 13.00.02
# ФОРМИРОВАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ УЧИТЕЛЯ НАЧАЛЬНЫХ КЛАССОВ В ПЕДАГОГИЧЕСКОМ УЧИЛИЩЕ Протченко О.П. автореферат дис. ... кандидата педагогических наук / Минск, 1997
# ВОСПИТАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ В ПРОЦЕССЕ ПРЕПОДАВАНИЯ ЛИНГВИСТИЧЕСКИХ И РЕЧЕВЕДЧЕСКИХ ДИСЦИПЛИН Быкова Г.И. диссертация на соискание ученой степени кандидата педагогических наук / Екатеринбург, 1999
!! 2000
# ПЕДАГОГИЧЕСКИЕ ОСНОВЫ ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ ПОСРЕДСТВОМ КУЛЬТУРЫ ИНОЯЗЫЧНОГО ЧТЕНИЯ Иванова Г.А. диссертация на соискание ученой степени кандидата педагогических наук / Якутск, 2000
# ФОРМИРОВАНИЕ ИНТЕРАКТИВНОЙ КОМПЕТЕНЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ ПРИ ОБУЧЕНИИ ИНОСТРАННЫМ ЯЗЫКАМ В НЕЯЗЫКОВОМ ВУЗЕ [[Емельянова З.В.]] диссертация на соискание ученой степени кандидата педагогических наук / Якутск, 2000
# ФОРМИРОВАНИЕ НАЦИОНАЛЬНО-ЯЗЫКОВОЙ ЛИЧНОСТИ НА УРОКАХ УКРАИНСКОГО ЯЗЫКА В 5-7 КЛАССАХ Симоненко Т.В. автореферат дис. ... кандидата педагогических наук / Киев, 2000
!! 2001
!! 2002
# СТАНОВЛЕНИЕ ГУМАНИСТИЧЕСКИХ ЦЕННОСТЕЙ ПЕДАГОГА (В АСПЕКТЕ ЯЗЫКОВОЙ ЛИЧНОСТИ) Григорьева-Голубева В.А. диссертация на соискание ученой степени доктора педагогических наук / Санкт-Петербургский государственный университет. Санкт-Петербург, 2002 13.00.01
# ЛИНГВОРИТОРИЧЕСКИЙ ИДЕАЛ КАК ФАКТОР СТАНОВЛЕНИЯ ПРОФЕССИОНАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ БУДУЩЕГО УЧИТЕЛЯ Юрьева А.В. диссертация на соискание ученой степени кандидата педагогических наук / Сочи, 2002
# ФОРМИРОВАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ ШКОЛЬНИКА В УСЛОВИЯХ ПОЛИЛИНГВАЛЬНОГО ОБРАЗОВАНИЯ Хрусталева О.Н. диссертация на соискание ученой степени кандидата педагогических наук / Казанский государственный педагогический университет. Казань, 2002
!! 2003
# ПРЕЦЕДЕНТНЫЕ ФЕНОМЕНЫ В РЕЧЕВОМ ОБЩЕНИИ РУССКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ И ПРОЦЕССЕ ОБУЧЕНИЯ РУССКОМУ ЯЗЫКУ КАК ИНОСТРАННОМУ Смыкунова Н.В. диссертация на соискание ученой степени кандидата педагогических наук / Москва, 2003
# ФОРМИРОВАНИЕ КОММУНИКАТИВНОЙ КУЛЬТУРЫ "ВТОРИЧНОЙ" ЯЗЫКОВОЙ ЛИЧНОСТИ ИНОСТРАННЫХ СТУДЕНТОВ-ФИЛОЛОГОВ В ПРОЦЕССЕ ОБУЧЕНИЯ РУССКОМУ ЯЗЫКУ (ПОДГОТОВИТЕЛЬНЫЙ ФАКУЛЬТЕТ) Андреева С.М. диссертация на соискание ученой степени кандидата педагогических наук / Белгородский региональный институт повышения квалификации и профессиональной переподготовки специалистов. Белгород, 2003
!! 2004
# ФОРМИРОВАНИЕ ГРАММАТИКО-КОММУНИКАТИВНОЙ КОМПЕТЕНЦИИ "ВТОРИЧНОЙ" ЯЗЫКОВОЙ ЛИЧНОСТИ ФРАНКОГОВОРЯЩИХ ИНОСТРАННЫХ СТУДЕНТОВ ПРИ ИЗУЧЕНИИ ПРЕДЛОЖНО-ПАДЕЖНЫХ КОНСТРУКЦИЙ С ПРОСТРАНСТВЕННЫМ ЗНАЧЕНИЕМ Мордас С.Б. диссертация на соискание ученой степени кандидата педагогических наук / Белгород, 2004
!! 2005
# КОНТАКТОУСТАНАВЛИВАЮЩИЕ ЕДИНИЦЫ ЯЗЫКА КАК СРЕДСТВО РАЗВИТИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ УЧАЩЕГОСЯ [[Крайникова М.Н.]] диссертация на соискание ученой степени кандидата педагогических наук / Нижний Новгород, 2005
# ФОРМИРОВАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ ШКОЛЬНИКА В ПРОЦЕССЕ РАЗВИТИЯ ИНОЯЗЫЧНОЙ РЕЧЕВОЙ ДЕЯТЕЛЬНОСТИ Закирова Г.Ш. диссертация на соискание ученой степени кандидата педагогических наук / Казань, 2005
!! 2006
# УЧЕБНО-ТВОРЧЕСКИЙ ДИСКУРС В СФЕРЕ ПИСЬМЕННОЙ КОММУНИКАЦИИ (ФОРМИРОВАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ ЧЕЛОВЕКА ПИШУЩЕГО) [[Дорожкина Т.Н.]] 13.00.02 диссертация на соискание ученой степени доктора педагогических наук / Уфа, 2006
# МЕТОДИЧЕСКАЯ СИСТЕМА ФОРМИРОВАНИЯ ПОЛИКУЛЬТУРНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ ПОСРЕДСТВОМ ИНТЕРНЕТ-КОММУНИКАЦИИ В ПРОЦЕССЕ ОБУЧЕНИЯ ИНОСТРАННЫМ ЯЗЫКАМ [[Халяпина Л.П.]] диссертация на соискание ученой степени доктора педагогических наук / Российский государственный педагогический университет им. А.И. Герцена. Санкт-Петербург, 2006 13.00.02
# РАЗВИТИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ ПРИ ОБУЧЕНИИ РУССКОМУ И ИНОСТРАННОМУ ЯЗЫКАМ В НЕЯЗЫКОВОМ ВУЗЕ [[Лысенко Н.Е.]] диссертация на соискание ученой степени кандидата педагогических наук / Орел, 2006
!! 2007
# БИЛИНГВАЛЬНАЯ ПОДГОТОВКА БУДУЩЕГО ЮРИСТА КАК ПРОФЕССИОНАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ ИЗУЧЕНИЯ АНГЛИЙСКОГО ЯЗЫКА) Дацун Н.А. диссертация на соискание ученой степени кандидата педагогических наук / Адыгейский государственный университет. Сочи, 2007
# ЛИНГВОРИТОРИЧЕСКИЕ ОСНОВЫ ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ В СИСТЕМЕ ДОШКОЛЬНОГО ОБРАЗОВАНИЯ Ермакова Е.В. диссертация на соискание ученой степени кандидата педагогических наук / Адыгейский государственный университет. Майкоп, 2007
# РАЗВИТИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ МЛАДШЕГО ШКОЛЬНИКА В ПРОЦЕССЕ ЛИНГВИСТИЧЕСКОГО ОБРАЗОВАНИЯ Дёмышева А.С. диссертация на соискание ученой степени кандидата педагогических наук / Уральский государственный педагогический университет. Екатеринбург, 2007
!! 2008
# ПЕДАГОГИЧЕСКИЕ УСЛОВИЯ РАЗВИТИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТА ТЕХНИЧЕСКОГО ВУЗА [[Годунова С.Ю.]] диссертация на соискание ученой степени кандидата педагогических наук 2008 13.00.08
# ПЕДАГОГИЧЕСКИЕ УСЛОВИЯ ФОРМИРОВАНИЯ МЕЖКУЛЬТУРНОЙ КОМПЕТЕНЦИИ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТОВ (НА МАТЕРИАЛЕ ИЗУЧЕНИЯ ЯПОНСКОГО ЯЗЫКА И КУЛЬТУРЫ) Птицына И.Ф. диссертация на соискание ученой степени кандидата педагогических наук / Якутский государственный университет им. М.К. Аммосова. Якутск, 2008
# ФОРМИРОВАНИЕ СПЕЦИАЛЬНОГО ДВУЯЗЫЧНОГО ТЕЗАУРУСА КАК СОСТАВЛЯЮЩЕГО КОМПОНЕНТА ЯЗЫКОВОЙ ЛИЧНОСТИ ПЕРЕВОДЧИКА В ЭКОНОМИЧЕСКОЙ СФЕРЕ (ФРАНЦУЗСКИЙ ЯЗЫК) [[Абдулмянова И.Р.]] диссертация на соискание ученой степени кандидата педагогических наук / Нижегородский государственный университет им. Н.А. Добролюбова. Нижний Новгород, 2008
!! 2009
# ЛИНГВОКУЛЬТУРОЛОГИЧЕСКИЙ И ЛИНГВОКРАЕВЕДЧЕСКИЙ ПОТЕНЦИАЛ СИСТЕМЫ ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ ШКОЛЬНИКА (5-6 КЛАССЫ) Пархомова Е.С. диссертация на соискание ученой степени кандидата педагогических наук / Российский университет дружбы народов (РУДН). Белгород, 2009
# РАЗВИТИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ МЛАДШЕГО ШКОЛЬНИКА В ПРОЦЕССЕ ВНЕУЧЕБНОЙ ДЕЯТЕЛЬНОСТИ Муратова Н.Б. диссертация на соискание ученой степени кандидата педагогических наук / Московский педагогический государственный университет. Курск, 2009
# РАЗВИТИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ СТАРШЕКЛАССНИКОВ В ПРОЦЕССЕ ОБУЧЕНИЯ ПОНИМАНИЮ ТЕКСТА И ЕГО ОБРАЗНОСТИ Есафьева О.О. диссертация на соискание ученой степени кандидата педагогических наук / Московский государственный областной университет. Пенза, 2009
!! 2010
!! 2011
# ОБУЧЕНИЕ СТУДЕНТОВ-ФИЛОЛОГОВ АССОЦИАТИВНО-ОБРАЗНЫМ СРЕДСТВАМ РЕПРЕЗЕНТАЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ УЧИТЕЛЯ Дрянгина Е.А. диссертация на соискание ученой степени кандидата педагогических наук / Ярославский государственный педагогический университет им. К.Д. Ушинского. Саранск, 2011
# ПЕДАГОГИЧЕСКИЕ УСЛОВИЯ ФОРМИРОВАНИЯ МЕДИАКОМПЕТЕНТНОСТИ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Хлызова Н.Ю. диссертация на соискание ученой степени кандидата педагогических наук / Московский государственный лингвистический университет. Москва, 2011
!! 2012
# САМОРЕАЛИЗАЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ ПЕРЕВОДЧИКА В СИСТЕМЕ ДОПОЛНИТЕЛЬНОГО ПРОФЕССИОНАЛЬНОГО ОБРАЗОВАНИЯ [[Пивкин С.Д.]] диссертация на соискание ученой степени доктора педагогических наук / ГОУВПО "Ульяновский государственный университет". Ульяновск, 2012 13.00.08
!! 2013
# РАЗВИТИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТОВ В ПРОЦЕССЕ ИЗУЧЕНИЯ ИНОСТРАННОГО ЯЗЫКА [[Дерябина Н.А.]] диссертация на соискание степени кандидата педагогических наук / Уральский государственный педагогический университет. Екатеринбург, 2013
# СТАНОВЛЕНИЕ ФУНКЦИОНАЛЬНО ГРАМОТНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ МЛАДШЕГО ШКОЛЬНИКА ПРИ ИЗУЧЕНИИ РУССКОГО ЯЗЫКА Ермакова Е.А. диссертация ... кандидата педагогических наук : 13.00.02 / Челябинский государственный педагогический университет. Челябинск, 2013
Всего начиная 1997 года по настоящее время защищено 32 диссертации из них 5 докторских, следует отметить , что 10 диссертаций посвещено вопросам средней школы и дошкольного образования, а 22 диссертации вопросам использования концепта языковая личность в высшей школе. Остановимся подробнее на второй группе.
По научным специальностям диссертации распределяются следующим образом:
* общая педагогика, история педагогики и образования (шифр 13.00.01) - 5 диссертаций;
* теория и методика обучения и воспитания (шифр 13.00.02) - 11 диссертаций;
* теория и методика профессионального образования (шифр 13.00.08) -4 диссертации.
Еще две диссертации 1997 года проходили по специальности 13.00.06 теория и методика воспитания. Которая в действующей номенклатуре отсутствует, но в принципе могут быть отнесены к специальности 13.00.02.
Анализ первой группы 13.00.01 показывает , что диссертация на соискание ученой степени доктора педагогических наук Григорьевой-Голубевой В.А. ''Становление гуманистических ценностей педагога (в аспекте языковой личности)'' и кандидатские диссертации Ивановой Г.А. ''Педагогические основы формирования языковой личности посредством культуры иноязычного чтения''; Емельяновой З.В.'' Формирование интерактивной компетенции языковой личности при обучении иностранным языкам в неязыковом вузе''; Птицыной И.Ф. Педагогические условия формирования межкультурной компетенции вторичной языковой личности студентов (на материале изучения японского языка и культуры) в основном формированию либо языковой личности, либо отдельных её компонент. Можно выделить диссертацию Ивановой Г.А.
1980 - 1999
# ОБУЧЕНИЕ ГРАММАТИЧЕСКОМУ СТРОЮ РУССКОЙ РЕЧИ ИНОСТРАННЫХ СТУДЕНТОВ-ФИЛОЛОГОВ КАК ОСНОВА ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ БУДУЩЕГО УЧИТЕЛЯ [[Игнатова И.Б.]] диссертация на соискание ученой степени доктора педагогических наук / Санкт-Петербург, 1997 13.00.02
# ФОРМИРОВАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ УЧИТЕЛЯ НАЧАЛЬНЫХ КЛАССОВ В ПЕДАГОГИЧЕСКОМ УЧИЛИЩЕ [[Протченко О.П.]] автореферат дис. ... кандидата педагогических наук / Минск, 1997 13.00.06
# ВОСПИТАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ В ПРОЦЕССЕ ПРЕПОДАВАНИЯ ЛИНГВИСТИЧЕСКИХ И РЕЧЕВЕДЧЕСКИХ ДИСЦИПЛИН [[Быкова Г.И.]] диссертация на соискание ученой степени кандидата педагогических наук / Екатеринбург, 1999 13.00.06
!! 2000
# ПЕДАГОГИЧЕСКИЕ ОСНОВЫ ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ ПОСРЕДСТВОМ КУЛЬТУРЫ ИНОЯЗЫЧНОГО ЧТЕНИЯ [[Иванова Г.А.]]диссертация на соискание ученой степени кандидата педагогических наук / Якутск, 2000 13.00.01
# ФОРМИРОВАНИЕ ИНТЕРАКТИВНОЙ КОМПЕТЕНЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ ПРИ ОБУЧЕНИИ ИНОСТРАННЫМ ЯЗЫКАМ В НЕЯЗЫКОВОМ ВУЗЕ [[Емельянова З.В.]] диссертация на соискание ученой степени кандидата педагогических наук / Якутск, 2000 13.00.01
!! 2001
!! 2002
# СТАНОВЛЕНИЕ ГУМАНИСТИЧЕСКИХ ЦЕННОСТЕЙ ПЕДАГОГА (В АСПЕКТЕ ЯЗЫКОВОЙ ЛИЧНОСТИ) [[Григорьева-Голубева В.А.]] диссертация на соискание ученой степени доктора педагогических наук / Санкт-Петербургский государственный университет. Санкт-Петербург, 2002 13.00.01
# ЛИНГВОРИТОРИЧЕСКИЙ ИДЕАЛ КАК ФАКТОР СТАНОВЛЕНИЯ ПРОФЕССИОНАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ БУДУЩЕГО УЧИТЕЛЯ [[Юрьева А.В.]] диссертация на соискание ученой степени кандидата педагогических наук / Сочи, 2002 13.00.08
---
!! 2003
# ПРЕЦЕДЕНТНЫЕ ФЕНОМЕНЫ В РЕЧЕВОМ ОБЩЕНИИ РУССКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ И ПРОЦЕССЕ ОБУЧЕНИЯ РУССКОМУ ЯЗЫКУ КАК ИНОСТРАННОМУ [[Смыкунова Н.В.]] диссертация на соискание ученой степени кандидата педагогических наук / Москва, 2003 13.00.02
# ФОРМИРОВАНИЕ КОММУНИКАТИВНОЙ КУЛЬТУРЫ "ВТОРИЧНОЙ" ЯЗЫКОВОЙ ЛИЧНОСТИ ИНОСТРАННЫХ СТУДЕНТОВ-ФИЛОЛОГОВ В ПРОЦЕССЕ ОБУЧЕНИЯ РУССКОМУ ЯЗЫКУ (ПОДГОТОВИТЕЛЬНЫЙ ФАКУЛЬТЕТ) [[Андреева С.М.]] диссертация на соискание ученой степени кандидата педагогических наук / Белгородский региональный институт повышения квалификации и профессиональной переподготовки специалистов. Белгород, 2003 13.00.02
!! 2004
# ФОРМИРОВАНИЕ ГРАММАТИКО-КОММУНИКАТИВНОЙ КОМПЕТЕНЦИИ "ВТОРИЧНОЙ" ЯЗЫКОВОЙ ЛИЧНОСТИ ФРАНКОГОВОРЯЩИХ ИНОСТРАННЫХ СТУДЕНТОВ ПРИ ИЗУЧЕНИИ ПРЕДЛОЖНО-ПАДЕЖНЫХ КОНСТРУКЦИЙ С ПРОСТРАНСТВЕННЫМ ЗНАЧЕНИЕМ [[Мордас С.Б.]] диссертация на соискание ученой степени кандидата педагогических наук / Белгород, 2004 13.00.02
!! 2005
# КОНТАКТОУСТАНАВЛИВАЮЩИЕ ЕДИНИЦЫ ЯЗЫКА КАК СРЕДСТВО РАЗВИТИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ УЧАЩЕГОСЯ [[Крайникова М.Н.]] диссертация на соискание ученой степени кандидата педагогических наук / Нижний Новгород, 2005 13.00.02
!! 2006
# УЧЕБНО-ТВОРЧЕСКИЙ ДИСКУРС В СФЕРЕ ПИСЬМЕННОЙ КОММУНИКАЦИИ (ФОРМИРОВАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ ЧЕЛОВЕКА ПИШУЩЕГО) [[Дорожкина Т.Н.]] 13.00.02 диссертация на соискание ученой степени доктора педагогических наук / Уфа, 2006
# МЕТОДИЧЕСКАЯ СИСТЕМА ФОРМИРОВАНИЯ ПОЛИКУЛЬТУРНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ ПОСРЕДСТВОМ ИНТЕРНЕТ-КОММУНИКАЦИИ В ПРОЦЕССЕ ОБУЧЕНИЯ ИНОСТРАННЫМ ЯЗЫКАМ [[Халяпина Л.П.]] диссертация на соискание ученой степени доктора педагогических наук / Российский государственный педагогический университет им. А.И. Герцена. Санкт-Петербург, 2006 13.00.02
# РАЗВИТИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ ПРИ ОБУЧЕНИИ РУССКОМУ И ИНОСТРАННОМУ ЯЗЫКАМ В НЕЯЗЫКОВОМ ВУЗЕ [[Лысенко Н.Е.]] диссертация на соискание ученой степени кандидата педагогических наук / Орел, 2006
13.00.02
!! 2007
# БИЛИНГВАЛЬНАЯ ПОДГОТОВКА БУДУЩЕГО ЮРИСТА КАК ПРОФЕССИОНАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ ИЗУЧЕНИЯ АНГЛИЙСКОГО ЯЗЫКА) [[Дацун Н.А.]] диссертация на соискание ученой степени кандидата педагогических наук / Адыгейский государственный университет. Сочи, 2007 13.00.08
!! 2008
# ПЕДАГОГИЧЕСКИЕ УСЛОВИЯ РАЗВИТИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТА ТЕХНИЧЕСКОГО ВУЗА [[Годунова С.Ю.]] диссертация на соискание ученой степени кандидата педагогических наук 2008 13.00.08
# ПЕДАГОГИЧЕСКИЕ УСЛОВИЯ ФОРМИРОВАНИЯ МЕЖКУЛЬТУРНОЙ КОМПЕТЕНЦИИ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТОВ (НА МАТЕРИАЛЕ ИЗУЧЕНИЯ ЯПОНСКОГО ЯЗЫКА И КУЛЬТУРЫ) [[Птицына И.Ф.]] диссертация на соискание ученой степени кандидата педагогических наук / Якутский государственный университет им. М.К. Аммосова. Якутск, 2008 13.00.01
# ФОРМИРОВАНИЕ СПЕЦИАЛЬНОГО ДВУЯЗЫЧНОГО ТЕЗАУРУСА КАК СОСТАВЛЯЮЩЕГО КОМПОНЕНТА ЯЗЫКОВОЙ ЛИЧНОСТИ ПЕРЕВОДЧИКА В ЭКОНОМИЧЕСКОЙ СФЕРЕ (ФРАНЦУЗСКИЙ ЯЗЫК) [[Абдулмянова И.Р.]] диссертация на соискание ученой степени кандидата педагогических наук / Нижегородский государственный университет им. Н.А. Добролюбова. Нижний Новгород, 2008 13.00.02
!! 2009
!! 2010
!! 2011
# ОБУЧЕНИЕ СТУДЕНТОВ-ФИЛОЛОГОВ АССОЦИАТИВНО-ОБРАЗНЫМ СРЕДСТВАМ РЕПРЕЗЕНТАЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ УЧИТЕЛЯ [[Дрянгина Е.А.]] диссертация на соискание ученой степени кандидата педагогических наук / Ярославский государственный педагогический университет им. К.Д. Ушинского. Саранск, 2011 13.00.02
# ПЕДАГОГИЧЕСКИЕ УСЛОВИЯ ФОРМИРОВАНИЯ МЕДИАКОМПЕТЕНТНОСТИ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ [[Хлызова Н.Ю.]] диссертация на соискание ученой степени кандидата педагогических наук / Московский государственный лингвистический университет. Москва, 2011 13.00.01
!! 2012
# САМОРЕАЛИЗАЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ ПЕРЕВОДЧИКА В СИСТЕМЕ ДОПОЛНИТЕЛЬНОГО ПРОФЕССИОНАЛЬНОГО ОБРАЗОВАНИЯ [[Пивкин С.Д.]] диссертация на соискание ученой степени доктора педагогических наук / ГОУВПО "Ульяновский государственный университет". Ульяновск, 2012 13.00.08
!! 2013
# РАЗВИТИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТОВ В ПРОЦЕССЕ ИЗУЧЕНИЯ ИНОСТРАННОГО ЯЗЫКА [[Дерябина Н.А.]] диссертация на соискание степени кандидата педагогических наук / Уральский государственный педагогический университет. Екатеринбург, 2013
!! По специальностям
---
13.00.01
# СТАНОВЛЕНИЕ ГУМАНИСТИЧЕСКИХ ЦЕННОСТЕЙ ПЕДАГОГА (В АСПЕКТЕ ЯЗЫКОВОЙ ЛИЧНОСТИ) [[Григорьева-Голубева В.А.]] диссертация на соискание ученой степени доктора педагогических наук / Санкт-Петербургский государственный университет. Санкт-Петербург, 2002 13.00.01
# ПЕДАГОГИЧЕСКИЕ ОСНОВЫ ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ ПОСРЕДСТВОМ КУЛЬТУРЫ ИНОЯЗЫЧНОГО ЧТЕНИЯ [[Иванова Г.А.]] диссертация на соискание ученой степени кандидата педагогических наук / Якутск, 2000 13.00.01
# ФОРМИРОВАНИЕ ИНТЕРАКТИВНОЙ КОМПЕТЕНЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ ПРИ ОБУЧЕНИИ ИНОСТРАННЫМ ЯЗЫКАМ В НЕЯЗЫКОВОМ ВУЗЕ [[Емельянова З.В.]] диссертация на соискание ученой степени кандидата педагогических наук / Якутск, 2000 13.00.01
# ПЕДАГОГИЧЕСКИЕ УСЛОВИЯ ФОРМИРОВАНИЯ МЕЖКУЛЬТУРНОЙ КОМПЕТЕНЦИИ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТОВ (НА МАТЕРИАЛЕ ИЗУЧЕНИЯ ЯПОНСКОГО ЯЗЫКА И КУЛЬТУРЫ) [[Птицына И.Ф.]] диссертация на соискание ученой степени кандидата педагогических наук / Якутский государственный университет им. М.К. Аммосова. Якутск, 2008 13.00.01
# ПЕДАГОГИЧЕСКИЕ УСЛОВИЯ ФОРМИРОВАНИЯ МЕДИАКОМПЕТЕНТНОСТИ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ [[Хлызова Н.Ю.]] диссертация на соискание ученой степени кандидата педагогических наук / Московский государственный лингвистический университет. Москва, 2011 13.00.01
---
13.00.02
# ОБУЧЕНИЕ ГРАММАТИЧЕСКОМУ СТРОЮ РУССКОЙ РЕЧИ ИНОСТРАННЫХ СТУДЕНТОВ-ФИЛОЛОГОВ КАК ОСНОВА ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ БУДУЩЕГО УЧИТЕЛЯ [[Игнатова И.Б.]] диссертация на соискание ученой степени доктора педагогических наук / Санкт-Петербург, 1997 13.00.02
# ПРЕЦЕДЕНТНЫЕ ФЕНОМЕНЫ В РЕЧЕВОМ ОБЩЕНИИ РУССКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ И ПРОЦЕССЕ ОБУЧЕНИЯ РУССКОМУ ЯЗЫКУ КАК ИНОСТРАННОМУ [[Смыкунова Н.В.]] диссертация на соискание ученой степени кандидата педагогических наук / Москва, 2003 13.00.02
# ФОРМИРОВАНИЕ КОММУНИКАТИВНОЙ КУЛЬТУРЫ "ВТОРИЧНОЙ" ЯЗЫКОВОЙ ЛИЧНОСТИ ИНОСТРАННЫХ СТУДЕНТОВ-ФИЛОЛОГОВ В ПРОЦЕССЕ ОБУЧЕНИЯ РУССКОМУ ЯЗЫКУ (ПОДГОТОВИТЕЛЬНЫЙ ФАКУЛЬТЕТ) [[Андреева С.М.]] диссертация на соискание ученой степени кандидата педагогических наук / Белгородский региональный институт повышения квалификации и профессиональной переподготовки специалистов. Белгород, 2003 13.00.02
# ФОРМИРОВАНИЕ ГРАММАТИКО-КОММУНИКАТИВНОЙ КОМПЕТЕНЦИИ "ВТОРИЧНОЙ" ЯЗЫКОВОЙ ЛИЧНОСТИ ФРАНКОГОВОРЯЩИХ ИНОСТРАННЫХ СТУДЕНТОВ ПРИ ИЗУЧЕНИИ ПРЕДЛОЖНО-ПАДЕЖНЫХ КОНСТРУКЦИЙ С ПРОСТРАНСТВЕННЫМ ЗНАЧЕНИЕМ [[Мордас С.Б.]] диссертация на соискание ученой степени кандидата педагогических наук / Белгород, 2004 13.00.02
# КОНТАКТОУСТАНАВЛИВАЮЩИЕ ЕДИНИЦЫ ЯЗЫКА КАК СРЕДСТВО РАЗВИТИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ УЧАЩЕГОСЯ [[Крайникова М.Н.]] диссертация на соискание ученой степени кандидата педагогических наук / Нижний Новгород, 2005 13.00.02
# УЧЕБНО-ТВОРЧЕСКИЙ ДИСКУРС В СФЕРЕ ПИСЬМЕННОЙ КОММУНИКАЦИИ (ФОРМИРОВАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ ЧЕЛОВЕКА ПИШУЩЕГО) [[Дорожкина Т.Н.]] 13.00.02 диссертация на соискание ученой степени доктора педагогических наук / Уфа, 2006
# МЕТОДИЧЕСКАЯ СИСТЕМА ФОРМИРОВАНИЯ ПОЛИКУЛЬТУРНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ ПОСРЕДСТВОМ ИНТЕРНЕТ-КОММУНИКАЦИИ В ПРОЦЕССЕ ОБУЧЕНИЯ ИНОСТРАННЫМ ЯЗЫКАМ [[Халяпина Л.П.]] диссертация на соискание ученой степени доктора педагогических наук / Российский государственный педагогический университет им. А.И. Герцена. Санкт-Петербург, 2006 13.00.02
# РАЗВИТИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ ПРИ ОБУЧЕНИИ РУССКОМУ И ИНОСТРАННОМУ ЯЗЫКАМ В НЕЯЗЫКОВОМ ВУЗЕ [[Лысенко Н.Е.]] диссертация на соискание ученой степени кандидата педагогических наук / Орел, 2006 13.00.02
# ФОРМИРОВАНИЕ СПЕЦИАЛЬНОГО ДВУЯЗЫЧНОГО ТЕЗАУРУСА КАК СОСТАВЛЯЮЩЕГО КОМПОНЕНТА ЯЗЫКОВОЙ ЛИЧНОСТИ ПЕРЕВОДЧИКА В ЭКОНОМИЧЕСКОЙ СФЕРЕ (ФРАНЦУЗСКИЙ ЯЗЫК) [[Абдулмянова И.Р.]] диссертация на соискание ученой степени кандидата педагогических наук / Нижегородский государственный университет им. Н.А. Добролюбова. Нижний Новгород, 2008 13.00.02
# ОБУЧЕНИЕ СТУДЕНТОВ-ФИЛОЛОГОВ АССОЦИАТИВНО-ОБРАЗНЫМ СРЕДСТВАМ РЕПРЕЗЕНТАЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ УЧИТЕЛЯ [[Дрянгина Е.А.]] диссертация на соискание ученой степени кандидата педагогических наук / Ярославский государственный педагогический университет им. К.Д. Ушинского. Саранск, 2011 13.00.02
# РАЗВИТИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТОВ В ПРОЦЕССЕ ИЗУЧЕНИЯ ИНОСТРАННОГО ЯЗЫКА [[Дерябина Н.А.]] диссертация на соискание степени кандидата педагогических наук / Уральский государственный педагогический университет. Екатеринбург, 2013 13.00.02
---
13.00.08
# ЛИНГВОРИТОРИЧЕСКИЙ ИДЕАЛ КАК ФАКТОР СТАНОВЛЕНИЯ ПРОФЕССИОНАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ БУДУЩЕГО УЧИТЕЛЯ [[Юрьева А.В.]] диссертация на соискание ученой степени кандидата педагогических наук / Сочи, 2002 13.00.08
# БИЛИНГВАЛЬНАЯ ПОДГОТОВКА БУДУЩЕГО ЮРИСТА КАК ПРОФЕССИОНАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ ИЗУЧЕНИЯ АНГЛИЙСКОГО ЯЗЫКА) [[Дацун Н.А.]] диссертация на соискание ученой степени кандидата педагогических наук / Адыгейский государственный университет. Сочи, 2007 13.00.08
# ПЕДАГОГИЧЕСКИЕ УСЛОВИЯ РАЗВИТИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТА ТЕХНИЧЕСКОГО ВУЗА [[Годунова С.Ю.]] диссертация на соискание ученой степени кандидата педагогических наук 2008 13.00.08
# САМОРЕАЛИЗАЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ ПЕРЕВОДЧИКА В СИСТЕМЕ ДОПОЛНИТЕЛЬНОГО ПРОФЕССИОНАЛЬНОГО ОБРАЗОВАНИЯ [[Пивкин С.Д.]] диссертация на соискание ученой степени доктора педагогических наук / ГОУВПО "Ульяновский государственный университет". Ульяновск, 2012 13.00.08
---
13.00.06
# ФОРМИРОВАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ УЧИТЕЛЯ НАЧАЛЬНЫХ КЛАССОВ В ПЕДАГОГИЧЕСКОМ УЧИЛИЩЕ [[Протченко О.П.]] автореферат дис. ... кандидата педагогических наук / Минск, 1997 13.00.06
# ВОСПИТАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ В ПРОЦЕССЕ ПРЕПОДАВАНИЯ ЛИНГВИСТИЧЕСКИХ И РЕЧЕВЕДЧЕСКИХ ДИСЦИПЛИН [[Быкова Г.И.]] диссертация на соискание ученой степени кандидата педагогических наук / Екатеринбург, 1999 13.00.06
!! Профессиональная языковая личность
Всего начиная 1997 года по настоящее время защищено 32 диссертации из них 5 докторских, следует отметить , что 10 диссертаций посвещено вопросам средней школы и дошкольного образования, а 22 диссертации вопросам использования концепта языковая личность в высшей школе. Остановимся подробнее на второй группе.
По научным специальностям диссертации распределяются следующим образом:
* общая педагогика, история педагогики и образования (шифр 13.00.01) - 5 диссертаций;
* теория и методика обучения и воспитания (шифр 13.00.02) - 11 диссертаций;
* теория и методика профессионального образования (шифр 13.00.08) -4 диссертации.
Еще две диссертации 1997 года проходили по специальности 13.00.06 теория и методика воспитания. Которая в действующей номенклатуре отсутствует, но в принципе могут быть отнесены к специальности 13.00.02.
Анализ первой группы 13.00.01 показывает , что диссертация на соискание ученой степени доктора педагогических наук Григорьевой-Голубевой В.А. ''Становление гуманистических ценностей педагога (в аспекте языковой личности)'' и кандидатские диссертации Ивановой Г.А. ''Педагогические основы формирования языковой личности посредством культуры иноязычного чтения''; Емельяновой З.В.'' Формирование интерактивной компетенции языковой личности при обучении иностранным языкам в неязыковом вузе''; Птицыной И.Ф. Педагогические условия формирования межкультурной компетенции вторичной языковой личности студентов (на материале изучения японского языка и культуры) в основном формированию либо языковой личности, либо отдельных её компонент. Можно выделить диссертацию Ивановой Г.А.
1980 - 1999
# ОБУЧЕНИЕ ГРАММАТИЧЕСКОМУ СТРОЮ РУССКОЙ РЕЧИ ИНОСТРАННЫХ СТУДЕНТОВ-ФИЛОЛОГОВ КАК ОСНОВА ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ БУДУЩЕГО УЧИТЕЛЯ [[Игнатова И.Б.]] диссертация на соискание ученой степени доктора педагогических наук / Санкт-Петербург, 1997 13.00.02
# ФОРМИРОВАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ УЧИТЕЛЯ НАЧАЛЬНЫХ КЛАССОВ В ПЕДАГОГИЧЕСКОМ УЧИЛИЩЕ [[Протченко О.П.]] автореферат дис. ... кандидата педагогических наук / Минск, 1997 13.00.06
# ВОСПИТАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ В ПРОЦЕССЕ ПРЕПОДАВАНИЯ ЛИНГВИСТИЧЕСКИХ И РЕЧЕВЕДЧЕСКИХ ДИСЦИПЛИН [[Быкова Г.И.]] диссертация на соискание ученой степени кандидата педагогических наук / Екатеринбург, 1999 13.00.06
!! 2000
# ПЕДАГОГИЧЕСКИЕ ОСНОВЫ ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ ПОСРЕДСТВОМ КУЛЬТУРЫ ИНОЯЗЫЧНОГО ЧТЕНИЯ [[Иванова Г.А.]]диссертация на соискание ученой степени кандидата педагогических наук / Якутск, 2000 13.00.01
# ФОРМИРОВАНИЕ ИНТЕРАКТИВНОЙ КОМПЕТЕНЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ ПРИ ОБУЧЕНИИ ИНОСТРАННЫМ ЯЗЫКАМ В НЕЯЗЫКОВОМ ВУЗЕ [[Емельянова З.В.]] диссертация на соискание ученой степени кандидата педагогических наук / Якутск, 2000 13.00.01
!! 2001
!! 2002
# СТАНОВЛЕНИЕ ГУМАНИСТИЧЕСКИХ ЦЕННОСТЕЙ ПЕДАГОГА (В АСПЕКТЕ ЯЗЫКОВОЙ ЛИЧНОСТИ) [[Григорьева-Голубева В.А.]] диссертация на соискание ученой степени доктора педагогических наук / Санкт-Петербургский государственный университет. Санкт-Петербург, 2002 13.00.01
# ЛИНГВОРИТОРИЧЕСКИЙ ИДЕАЛ КАК ФАКТОР СТАНОВЛЕНИЯ ПРОФЕССИОНАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ БУДУЩЕГО УЧИТЕЛЯ [[Юрьева А.В.]] диссертация на соискание ученой степени кандидата педагогических наук / Сочи, 2002 13.00.08
---
!! 2003
# ПРЕЦЕДЕНТНЫЕ ФЕНОМЕНЫ В РЕЧЕВОМ ОБЩЕНИИ РУССКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ И ПРОЦЕССЕ ОБУЧЕНИЯ РУССКОМУ ЯЗЫКУ КАК ИНОСТРАННОМУ [[Смыкунова Н.В.]] диссертация на соискание ученой степени кандидата педагогических наук / Москва, 2003 13.00.02
# ФОРМИРОВАНИЕ КОММУНИКАТИВНОЙ КУЛЬТУРЫ "ВТОРИЧНОЙ" ЯЗЫКОВОЙ ЛИЧНОСТИ ИНОСТРАННЫХ СТУДЕНТОВ-ФИЛОЛОГОВ В ПРОЦЕССЕ ОБУЧЕНИЯ РУССКОМУ ЯЗЫКУ (ПОДГОТОВИТЕЛЬНЫЙ ФАКУЛЬТЕТ) [[Андреева С.М.]] диссертация на соискание ученой степени кандидата педагогических наук / Белгородский региональный институт повышения квалификации и профессиональной переподготовки специалистов. Белгород, 2003 13.00.02
!! 2004
# ФОРМИРОВАНИЕ ГРАММАТИКО-КОММУНИКАТИВНОЙ КОМПЕТЕНЦИИ "ВТОРИЧНОЙ" ЯЗЫКОВОЙ ЛИЧНОСТИ ФРАНКОГОВОРЯЩИХ ИНОСТРАННЫХ СТУДЕНТОВ ПРИ ИЗУЧЕНИИ ПРЕДЛОЖНО-ПАДЕЖНЫХ КОНСТРУКЦИЙ С ПРОСТРАНСТВЕННЫМ ЗНАЧЕНИЕМ [[Мордас С.Б.]] диссертация на соискание ученой степени кандидата педагогических наук / Белгород, 2004 13.00.02
!! 2005
# КОНТАКТОУСТАНАВЛИВАЮЩИЕ ЕДИНИЦЫ ЯЗЫКА КАК СРЕДСТВО РАЗВИТИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ УЧАЩЕГОСЯ [[Крайникова М.Н.]] диссертация на соискание ученой степени кандидата педагогических наук / Нижний Новгород, 2005 13.00.02
!! 2006
# УЧЕБНО-ТВОРЧЕСКИЙ ДИСКУРС В СФЕРЕ ПИСЬМЕННОЙ КОММУНИКАЦИИ (ФОРМИРОВАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ ЧЕЛОВЕКА ПИШУЩЕГО) [[Дорожкина Т.Н.]] 13.00.02 диссертация на соискание ученой степени доктора педагогических наук / Уфа, 2006
# МЕТОДИЧЕСКАЯ СИСТЕМА ФОРМИРОВАНИЯ ПОЛИКУЛЬТУРНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ ПОСРЕДСТВОМ ИНТЕРНЕТ-КОММУНИКАЦИИ В ПРОЦЕССЕ ОБУЧЕНИЯ ИНОСТРАННЫМ ЯЗЫКАМ [[Халяпина Л.П.]] диссертация на соискание ученой степени доктора педагогических наук / Российский государственный педагогический университет им. А.И. Герцена. Санкт-Петербург, 2006 13.00.02
# РАЗВИТИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ ПРИ ОБУЧЕНИИ РУССКОМУ И ИНОСТРАННОМУ ЯЗЫКАМ В НЕЯЗЫКОВОМ ВУЗЕ [[Лысенко Н.Е.]] диссертация на соискание ученой степени кандидата педагогических наук / Орел, 2006
13.00.02
!! 2007
# БИЛИНГВАЛЬНАЯ ПОДГОТОВКА БУДУЩЕГО ЮРИСТА КАК ПРОФЕССИОНАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ ИЗУЧЕНИЯ АНГЛИЙСКОГО ЯЗЫКА) [[Дацун Н.А.]] диссертация на соискание ученой степени кандидата педагогических наук / Адыгейский государственный университет. Сочи, 2007 13.00.08
!! 2008
# ПЕДАГОГИЧЕСКИЕ УСЛОВИЯ РАЗВИТИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТА ТЕХНИЧЕСКОГО ВУЗА [[Годунова С.Ю.]] диссертация на соискание ученой степени кандидата педагогических наук 2008 13.00.08
# ПЕДАГОГИЧЕСКИЕ УСЛОВИЯ ФОРМИРОВАНИЯ МЕЖКУЛЬТУРНОЙ КОМПЕТЕНЦИИ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТОВ (НА МАТЕРИАЛЕ ИЗУЧЕНИЯ ЯПОНСКОГО ЯЗЫКА И КУЛЬТУРЫ) [[Птицына И.Ф.]] диссертация на соискание ученой степени кандидата педагогических наук / Якутский государственный университет им. М.К. Аммосова. Якутск, 2008 13.00.01
# ФОРМИРОВАНИЕ СПЕЦИАЛЬНОГО ДВУЯЗЫЧНОГО ТЕЗАУРУСА КАК СОСТАВЛЯЮЩЕГО КОМПОНЕНТА ЯЗЫКОВОЙ ЛИЧНОСТИ ПЕРЕВОДЧИКА В ЭКОНОМИЧЕСКОЙ СФЕРЕ (ФРАНЦУЗСКИЙ ЯЗЫК) [[Абдулмянова И.Р.]] диссертация на соискание ученой степени кандидата педагогических наук / Нижегородский государственный университет им. Н.А. Добролюбова. Нижний Новгород, 2008 13.00.02
!! 2009
!! 2010
!! 2011
# ОБУЧЕНИЕ СТУДЕНТОВ-ФИЛОЛОГОВ АССОЦИАТИВНО-ОБРАЗНЫМ СРЕДСТВАМ РЕПРЕЗЕНТАЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ УЧИТЕЛЯ [[Дрянгина Е.А.]] диссертация на соискание ученой степени кандидата педагогических наук / Ярославский государственный педагогический университет им. К.Д. Ушинского. Саранск, 2011 13.00.02
# ПЕДАГОГИЧЕСКИЕ УСЛОВИЯ ФОРМИРОВАНИЯ МЕДИАКОМПЕТЕНТНОСТИ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ [[Хлызова Н.Ю.]] диссертация на соискание ученой степени кандидата педагогических наук / Московский государственный лингвистический университет. Москва, 2011 13.00.01
!! 2012
# САМОРЕАЛИЗАЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ ПЕРЕВОДЧИКА В СИСТЕМЕ ДОПОЛНИТЕЛЬНОГО ПРОФЕССИОНАЛЬНОГО ОБРАЗОВАНИЯ [[Пивкин С.Д.]] диссертация на соискание ученой степени доктора педагогических наук / ГОУВПО "Ульяновский государственный университет". Ульяновск, 2012 13.00.08
!! 2013
# РАЗВИТИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТОВ В ПРОЦЕССЕ ИЗУЧЕНИЯ ИНОСТРАННОГО ЯЗЫКА [[Дерябина Н.А.]] диссертация на соискание степени кандидата педагогических наук / Уральский государственный педагогический университет. Екатеринбург, 2013
# ЛИНГВОРИТОРИЧЕСКИЙ ИДЕАЛ КАК ФАКТОР СТАНОВЛЕНИЯ ПРОФЕССИОНАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ БУДУЩЕГО УЧИТЕЛЯ [[Юрьева А.В.]] диссертация на соискание ученой степени кандидата педагогических наук / Сочи, 2002
# БИЛИНГВАЛЬНАЯ ПОДГОТОВКА БУДУЩЕГО ЮРИСТА КАК ПРОФЕССИОНАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ ИЗУЧЕНИЯ АНГЛИЙСКОГО ЯЗЫКА) [[Дацун Н.А.]] диссертация на соискание ученой степени кандидата педагогических наук / Адыгейский государственный университет. Сочи, 2007
---
!!: автореф. дис. … канд. пед. наук.
{ {ЯЛ13.00.01}}
[[Редактировать|ЯЛ13.00.01]]
---
{ {ЯЛ13.00.02}}
[[Редактировать|ЯЛ13.00.02]]
---
{ {ЯЛ13.00.08}}
[[Редактировать|ЯЛ13.00.08]]
---
{ {ЯЛ13.00.06}}
[[Редактировать|ЯЛ13.00.06]]
```
*В.М. Полонский Динамика развития и соотношение основных понятий педагогики [ext[ссылка в библиотеку|file:///D:/BI/st_polonskii_vm.pdf]]
# 17.05.2019 [[Седых Д.В.]] Педагогическое обеспечение процесса обучения студентов вуза в полилингвальной образовательной среде 13.00.08
# 27.06.2019 [[Макерова Н.В.]] Подготовка специалистов сферы спортивно-оздоровительного туризма в вузах физической культуры: лингво-профессиональный аспект 13.00.08
# 06.04.2019 [[Рузиева Л.Т.]] Прецедентно -значимые тексты как когнитивный компонент культуры народа в системе обучения русскому языку в неязыковом вузе в лингвокультуроведческом аспекте 13.00.02
# 22.03.2019 [[Амелина И.О.]] Интегративная модель обучения иностранных студентов русской деловой коммуникации на основе кейс-технологии и медиаресурсов (направление "Экономика", уровни В1-В2)
# 22.02.2019 [[Филиппова В.М.]] Лингводидактический потенциал метода проектов и его реализация в преподавании РКИ
# 17.05.2019 [[Жильцов В.А.]] Компьютерное моделирование языковой среды в дистанционном обучении РКИ (уровни А2-В1)
# 21.05.2019 [[Краснопеева Т.О.]] Обучение иностранному языку студентов вуза на основе психометрического анализа и индивидуальных иноязычных образовательных траекторий
# 18.09.2019 [[Римонди Дж.]] Современная парадигма преподавания и изучения русского языка как иностранного в России и Италии
# 11.12.2019 [[Анисина Ю.В]]. Формирование профессионально-коммуникативной компетенции иностранных военнослужащих с учётом культуроведческого компонента курса русского языка
# 11.12.2019 [[Антипова Н.Б.]] Развитие навыков говорения с использованием визуальных опор на начальном этапе обучения русскому языку как иностранному в полилингвальной аудитории
# 14.01.2020 [[Алейникова Д.В.]] Методика обучения юристов межкультурному профессиональному общению в условиях коллизии правовых культур (английский язык, магистратура)
#18.02.2020 [[Аверкиева Л.Г.]] Методика формирования иноязычной профессионально-коммуникативной компетенции студентов бакалавриата на основе использования междисциплинарных проектов и интернет-технологий 13.00.02 Кандидатская
Филологи
# 10.03.2020 [[Романов А.С.]] Стереотипизация как феномен функционирования субкультурных констант американского (США) военного социума (на материале английского языка)
[ext[ссылка дисеркат|https://www.dissercat.com/content/obuchenie-grammaticheskomu-stroyu-russkoi-rechi-inostrannykh-studentov-filologov-kak-osnova-]]
Введение диссертации (часть автореферата) на тему «Обучение грамматическому строю русской речи иностранных студентов-филологов как основа формирования языковой личности будущего учителя»
Последние десятилетия уходящего XX века характеризуются интенсивным развитием международных связей во всем многообразии их форм, в силу чего оказывается совершенно естественным повышение общественного и государственного интереса к проблемам языковой политики как внутри страны, так и по отношению к обучению русскому языку как иностранному.
Взгляд на язык как на средство межкультурной коммуникации обусловил интерес ученых-лингвистов к проблемам, связанным с теорией коммуникации, прагматическими аспектами функционирования языка, паралингвистикой, социолингвистикой, изучением феномена "языковая личность", к проблемам интеркультурного "со-бытия" стран и народов, ин-терлингвокультурной коммуникации (А.В.Аврорин, Ю.Д. Апресян, А.В.Бондарко, Г.И.Богин, О.И.Блинова, В.В.Виноградов, Г.А.Золотова, Ю.Н.Караулов, В.А.Карпов, О.Л.Каменская, Р.И.Павиленис, Е.В.Сидоров и др.).
Аналогичные подходы наблюдаются в области лингводидактики и методики преподавания русского языка. Переориентировка методических исследований на изучение функциональных и коммуникативных свойств единиц языка/речи в свете антропологической лингвистики обусловлена логикой лингвистических исследований, а также целым рядом тенденций внутри собственно методической науки, связанных с личностно ориентированным обучением русскому языку как неродному и применением достижений функциональной грамматики, теории текста, социолингвистики, этнопсихолингвистики в учебных целях (В.И.Бухарин, Е.А.Быстрова, Е.С.Бутакова, Т.К.Донская, Н.А.Ипполитова, А.И.Погодин, Т.В.Лаврикова, В.В.Сериков, И.И. Халеева и др.).
При этом важно не упустить из виду две основные лингвометодические проблемы обучения русскому языку как неродному: а) студентовфилологов и б) студентов-нефилологов. Профессиональное владение иностранным (русским) языком понимается как процесс овладения языком на ^ уровне адекватного синтеза (Ю.Н.Караулов), то есть на уровне, который характерен для образованного носителя данного языка (для природного "инофона"). Перед методикой преподавания русского языка как иностранного стоит проблема исследования закономерностей становления ^ языковой личности иностранного студента-филолога на разных этапах овладения русским языком как языком его будущей профессиональной деятельности. Этой проблемой после исследований Г.И. Богина и Ю.Н.Караулова занимались Е.А.Быстрова, Н.А.Ипполитова, А.Даш, ^ А.Ш.Зайнетдинов, О.А.Каменская, О.Д.Митрофанова, И.И.Халеева,
И.С.Якиманская и др. Вместе с тем вне поля зрения современных исследователей остался самый главный - начальный этап, с которого практически и начинает формироваться языковая личность и на котором закладываются базовые знания и умения в области грамматического строя иноязычной Ш (русской) речи. Обращение к моделированию процесса формирования и развития языковой личности иностранного студента-филолога с базового, нулевого цикла на основе развития мотивационных установок будущего русиста представляется не только своевременным, но и безотла-^ гательным. Более того, опыт практической работы на подготовительном факультете с иностранными студентами-филологами и проведенное на основе этого опыта научное исследование показали, что роль начального этапа в усвоении(базового) грамматического строя речи студентами-филологами имеет решающее значение для последующих этапов развития ^ языковой личности преподавателя русского языка как неродного с целью достижения в перспективе мотивационно-прагматического уровня в структурной модели языковой личности (Ю.Н.Караулов), который обеспечивает р высокое профессиональное мастерство преподавателя -русиста.
Актуальность исследования. Диссертационная работа посвящена проблеме овладения базовым грамматическим строем русской речи иностранными студентами-филологами при системно-функциональном подходе к изучению языковых единиц и поэтапному формированию "вторичной" языковой личности будущего преподавателя русского языка как неродного.
Обучение грамматике иностранных студентов-филологов является одной из наиболее сложных и актуальных проблем методики, во-первых, вследствие той доминирующей роли, которую играет грамматическая структура русской речи, определяющая всю стратегию коммуникативного обучения русскому языку как неродному; во-вторых, в связи с тем, что процесс овладения грамматическим строем русской речи весьма трудоемок. Это проявляется как в объеме учебного времени , традиционно отводимого на него, так и в отборе, организации и введении языковогЪ материала, в специфике работы по формированию и развитию грамматических » (языковых и речевых) умений в разных видах речевой деятельности. Не случайно указанный аспект обучения постоянно находится в поле зрения исследователей (Г.Н.Аверьянова, Г.А.Анисимов, Е.А.Быстрова, Г.А.Битехтина, Г.А.Вишнякова, И.Н.Гадалина, Г.Г.Городилова, Т.К.Донская, З.Н.Иевлева, Л.В.Кулакова, О.Д.Митрофанова, В.И.Остапенко, Г.И.Рожкова, А.Б.Чистякова, С.Ф.Шатилов и др.). Ежегодно появляются лингвистические и методические научные работы, в которых анализируются отдельные аспекты преподавания грамматики русского языка как иностранного. В этих исследованиях определились следующие основные линии: 1) сформулированы цели и определено содержание обучения грамматике (Г.А.Анисимов, О.Д.Митрофанова, Г.И.Рожкова, Т.Н.Протасова, А.Б.Чистякова и др.); 2) произведен отбор лексико-грамматического материала для начального этапа обучения (подготовительный факультет) (А.Н.Васильева, Г.Н.Гадалина, З.Н.Иевлева, Л.С.Муравьева, В.И.Остапенко, Г.И.Рожкова и др.); 3) наметился поиск построения и выявления логики представления учебного (языкового и речевого) материала в программах, учебниках, учебных пособиях (М.Н.Вятютнев, Е.И.Войнова, Т.Н.Протасова, М.М.Нахабина, В.М.Матвеева и др.) и др.
Вместе с тем требования гуманизации и гуманитаризации образования, достижения в области исследования феномена "языковая личность", развитие личностно ориентированного направления в обучении русскому языку как неродному, применение лингвокогнитивных подходов к анализу иноязычной речи позволяют по-новому рассмотреть проблему обучения грамматике иностранных студентов-филологов в соответствии с концепцией поэтапного формирования вторичной языковой личности в системе овладения базовым грамматическим строем русской речи.
В основе предлагаемой в диссертационном исследовании концепции лежит лингводидактическая теория формирования и развития вторичной языковой личности в процессе овладения грамматическими основами русской речи в условиях подготовительного факультета. Данный подход требует учета совокупности способностей и характеристик человека, обусловливающих создание и восприятие им речевых произведений (текстов) на иностранном (русском) языке, в которых личность обнаруживает свои коммуникативные способности и свойства (Ю.Н.Караулов). Такое понимание языковой личности, предложенное Ю.Н.Карауловым, способствует построению адекватной лингводидактической модели обучения грамматическому строю русской речи студентов-иностранцев в соответствии с концепцией системно-функционального подхода к формированию вторичной языковой личности будущего филолога-русиста.
В различных концепциях образования неоднократно подчеркивалась необходимость включения личностных элементов в содержание обучения (В.В.Виноградов, Е.А.Быстрова, Г.И.Богин, Т.К.Донская, И.Я.Лернер, И.И.Халеева, И.С.Якиманская и др.). Применительно к аспекту обучения грамматическому строю иноязычной речи личностно ориентированное обучение - это обучение, создающее условия для полноценного проявления, формирования и развития вторичной языковой личности иностранного студента-филолога в процессе осмысления языковой "картины мира" иной социокультурной общности. Основой такого подхода к обучению базовым грамматическим основам иноязычной (русской) речи является многоуровневая организация структурной модели языковой личности иностранного студента-филолога при овладении им русским языком на подготовительном факультете.
В современных методических исследованиях данная проблема еще не нашла научно обоснованного решения, в то время как без решения этой проблемы на сегодняшнем этапе развития лингвистики, психолингвистики, дидактики и методики преподавания русского языка как иностранного трудно говорить о создании эффективной модели процесса обучения, ибо до тех пор, пока модель обучения языку не предполагает решительной попытки вторгнуться в структуру языковой личности, она обречена "оставаться чем-то внешним, чуждым по отношению к объекту обучения языку" (Ю.Н.Караулов, 1987, с.49). При этом личностно ориентированный подход к обучению предполагает учет 1) многоуровневой организации языковой личности, 2) закономерностей формирования вторичной языковой личности, в частности вторичного языкового и лингвокогнитивного сознания, 3) поэтапного "включения" языковой личности в контекст ино-фонной социокультуры.
Все сказанное выше определяет стратегию методики обучения иностранных студентов-филологов базовым знаниям, навыкам и умения в области грамматического строя русской речи на подготовительном факультете.
Выбор темы данного исследования обусловлен актуальностью проблемы обучения грамматическим основам русской речи иностранных студентов-филологов в русле концепта "языковая личность" на основе реализации системно-функционального подхода. Такая постановка вопроса предполагает поэтапное "включение" обучающихся в процесс познания инокультурного социума. Более того, теоретическая и практическая неразработанность данной проблемы, а также отсутствие специальных исследований, в которых теория формирования вторичной языковой личности соотносилась бы с проблематикой обучения грамматическому строю иноязычной (русской) речи студентов-филологов, выдвинула на первый план проблему лингвометодического обоснования системно-функционального подхода к формированию вторичной языковой личности будущего учителя-русиста.
Цель исследования - создание и обоснование методической системы обучения грамматическому строю русского языка иностранных студентов на основе системно-функционального подхода к изучению языковых единиц и с учетом преемственно-перспективных связей между разными этапами обучения в рамках подготовительного факультета.
Объект исследования - динамический процесс поэтапного обучения грамматическому строю русской речи иностранных студентов-филологов в соответствии с концепцией формирования грамматической компетенции языковой личности будущего учителя-русиста.
Предмет исследования - методика формирования базового грамматического строя русской речи иностранных студентов как основы становления вторичной языковой личности филолога-русиста.
Гипотеза исследования : эффективность процесса обучения грамматическому строю русской речи иностранных студентов-филологов в соответствии с концепцией поэтапного формирования и развития языковой личности будущего учителя-русиста может быть достигнута в результате реализации на практике предлагаемой нами лингвометодической модели обучения, доминирующими компонентами которой являются:
- обеспечение поэтапного овладения грамматическим строем русской речи иностранными студентами-филологами как "удвоенной" языковой личности, что предполагает формирование вербально-семантического ("нулевого) и лингвокогнитивного (тезаурусного) уровней "вторичной" языковой личности;
- реализация системно-функционального подхода к изучению языковых единиц, сочетание семасиологического и ономасиологического способов презентации и актуализации учебного грамматического материала;
- признание текста в качестве основной единицы обучения грамматическим основам русской речи иностранных студентов-филологов и развитие языкового и лингвокогнитивного сознания будущих профессионалов-русистов.
- выделение в практике преподавания русского языка иностранным студентам-филологам на подготовительном факультете особого аспекта -"Практическая грамматика", целью которого является формирование грамматических обобщений в процессе личностно ориентированного обучения русскому языку;
Цель и гипотеза исследования обусловили необходимость решения ряда исследовательских задан:
1) определить лингводидактическое содержание концепта "языковая личность" в процессе обучения базовому грамматическому строю речи иностранных студентов-филологов;
2) исследовать становление и развитие вторичной языковой личности в процессе поэтапного овладения грамматическим строем иноязычной (русской) речи;
3) дать лингвистическое обоснование системно-функциональному подходу при обучении грамматике русского языка как неродного;
4) установить психолингвистические особенности обучения взрослых иностранному (русскому) языку;
5) выявить особенности усвоения грамматических категорий, форм и структур студентами-иностранцами, создать типологию грамматических ошибок, определить причины их появления и устойчивости;
6) определить динамику развития грамматического строя речи иностранных студентов в рамках подготовительного факультета;
7) выделить принципы обучения грамматическому строю русской речи иностранных студентов-филологов;
8) разработать и научно обосновать методическую технологию обучения грамматическому строю речи в процессе формирования вторичной языковой личности будущего учителя - русиста;
9) провести экспериментальное обучение на основе предлагаемой модели; осуществить интервьюирование преподавателей с целью получения экспертной оценки предложенной системы обучения.
Методологической основой исследования является философское понимание триединства языка - мышления - речи, которое определяет творческий характер усвоения языка (А.А.Потебня, Б.Л.Серебренников, В.М.Солнцев, Е.В Сидоров, Р.И.Павиленис, Ю.Н.Караулов и др.)
В настоящем диссертационном исследовании использовались следующие методы;
1) анализ лингвистической, методической, психолого-педагогической литературы с целью выявления лингводидактических основ исследования;
2) сопоставительный анализ грамматических систем русского и французского языков с целью определения основных трудностей усвоения грамматики русского языка иностранными студентами;
3) наблюдения за учебной деятельностью студентов в процессе усвоения ими русского языка;
4) изучение педагогического опыта в практическом решении проблемы исследования;
5) методы экспериментального исследования : а) констатирующий, прогнозирующий и обучающий эксперименты; б) наблюдение за учебным процессом, организуемым по плану исследования; в) проведение анкетирования, бесед, контрольных срезов, тестов и др. приемов исследования; г) анализ и обобщение материалов экспериментального обучения с целью его корректировки и совершенствования;
6) методы статистической обработки полученных экспериментальных данных.
Научная новизна исследования определяется постановкой и решением в нем проблем, ориентированных на создание целостной концепции обучения грамматическому строю русской речи иностранных студентов-филологов на основе интегральной совокупности языкового и когнитивного сознания, что соответствует условиям реального межъязыкового общения. Научной новизной обладает и сформулированная в диссертации авторская концепция методики обучения грамматическому строю иноязычной речи на основе реализации системно-функционального подхода при учете преемственно-перспективных связей между разными этапами формирования и развития вторичной языковой личности иностранного студента-филолога.
Научные результаты исследования:
- обоснованы конечные цели обучения грамматическому строю русской речи иностранных студентов-филологов в русле концепта "языковая личность";
- разработана лингвометодическая система поэтапного формирования вторичной языковой личности иностранного студента-филолога в условиях подготовительного факультета, доминантой которой является системно-функциональный подход к решению поставленных исследовательских задач; теоретически и экспериментально обоснован системно -функциональный подход к обучению базовому грамматическому строю иноязычной (русской) речи на основе реализации преемственно-перспективных связей между разными этапами формирования и развития грамматической компетенции языковой личности будущего филолога-русиста;
- разработана модель формирования вторичной языковой личности иностранного студента-филолога при овладении базовыми грамматическими знаниями, навыками и умениями;
- определены основные принципы, методы и приемы поэтапного обучения базовому грамматическому строю русского языка в соответствии с закономерностями формирования вторичной языковой личности будущего преподавателя русского языка как иностранного.
Теоретическая значимость исследования определяется научной новизной и характером предпринятого исследования, обозначившего лингвистические, психологические, нейрофизиологические и психолингвистические проблемы, связанные с дальнейшим развитием методики обучения взрослых учащихся грамматическому строю иноязычной речи в концепте "вторичная языковая личность":
-разработана теоретическая концепция обучения базовому грамматическому строю иноязычной (русской) речи, призванная обеспечить поэтапное становление иностранного студента-филолога как "удвоенной" языковой личности, что предполагает формирование уже на подготовительном факультете вербально-семантического и когнитивно-тезаурусного уровней "вторичной" языковой личности, а также закладывание основ для дальнейшего формирования языковой личности на прагматическом уровне ее структуры;
- раскрыто понятие "вторичная языковая личность", разработана ее структурная модель применительно к поэтапному овладению грамматическим строем русской речи иностранными студентами-филологами;
- дано теоретическое обоснование системно-функционального подхода к обучению грамматическому строю русской речи иностранных студентов; с этой целью введено терминологическое понятие "системно-функциональный подход", раскрыто основное содержание данного подхода к изучению и описанию языковых единиц в процессе личностно ориентированного обучения русскому языку как неродному;
- сформулированы основные закономерности обучения грамматическому строю иноязычной речи: а) первая закономерность вытекает из сущности языка как функционирующей системы: каждая языковая единица, обладающая значением и речевой предназначенностью, отражает динамический характер речи и системное ее строение; б) вторая закономерность вытекает из психолингвистических особенностей восприятия и усвоения грамматических единиц: чем выше уровень способностей иностранных студентов к самостоятельным теоретическим обобщениям собственного речевого опыта, тем интенсивнее усваивается системно-функциональный характер языкового знака в иностранном языке;
- основные закономерности процесса усвоения иностранными студентами базового грамматического строя русской речи при личностно ориентированном обучении русскому языку позволили выделить и обосновать стратегический и тактический принципы обучения: принцип преемственности в формировании и развитии вторичной языковой личности иностранного студента-филолога и принцип системно-функционального подхода к изучению языковых единиц;
- выделены критерии достижения студентами-филологами разноуровневого развития в процессе поэтапной реализации системно-функционального подхода к формированию и развитию языковой личности будущего учителя -русиста.
Практическая значимость исследования:
1. Разработанная научно - теоретическая база позволила создать обоснованную практическую методику, направленную на интенсификацию учебного процесса по обучению грамматическому строю русского языка на подготовительном факультете.
2. Предложенная методическая система направлена на формирование профессионального методического мышления студентов, будущих учителей русского языка, что в перспективе обеспечивает более высокий уровень развития лингвистической, коммуникативной и педагогической компетенции.
3. Экспериментальные учебные пособия, методические рекомендации, i
If контрольные тесты и др. с учетом преемственных связей способствуют по- ;; вышению качественного уровня подготовки по русскому языку иностранных студентов на начальном этапе обучения.
4. Созданные наглядные пособия ( видеофильмы,таблицы, диафильмы f и др.), компьютерные программы и дидактические материалы (схемы, кар- ч точки и т.д.) могут быть использованы при обучении грамматике не только I* на подготовительном факультете, но и на первом курсе гуманитарных факультетов.
5. Разработанные тесты способствуют определению уровня развития вторичной языковой личности иностранных студентов-филологов.
Полученные результаты, выводы, методические рекомендации, а также учебные пособия могут быть использованы в курсе практической грамматики, предназначенной для студентов национальных групп, при изучении русского языка в национальной школе. Теоретические положения и материалы исследования могут быть использованы в лекционном курсе по методике преподавания русского языка как иностранного.
Базой исследования были кафедра русского языка международного факультета БГУ, РГПУ им.А.И.Герцена и БелГТАСМ. В ходе исследования выдвинутой проблемы (1984 -1996 гг.) было посещено около 350 занятий по русскому языку и другим предметам у 31 преподавателя. Наблюдения за ходом педагогического процесса, посещение большого количества занятий, знакомство с работой ряда кафедр русского языка как иностранного различных вузов РФ (РГПУ им. А.И.Герцена, ВГУ, МГУ, СПГУ и др.), беседы с преподавателями, студентами , анкетирование, тестирование, изучение ответов иностранных студентов на занятиях , анализ успеваемости на первом и последующих курсах позволили проанализировать процесс овладения грамматическим строем русской речи иностранными студентами-филолагами на протяжении всех 6 лет (от подготовительного факультета до пятого курса), а также этапы формирования вторичной языковой личности будущего русиста.
Базой исследования послужил и личный опыт преподавания русского языка иностранным студентам в течение 17 лет, в том числе и за рубежом (Германия), в результате которого была определена концепция обучения и на ее основе разработана методическая система обучения грамматическому строю русского языка с использованием учебного комплекса, созданного преподавательским коллективом кафедры русского языка БГУ под руководством автора данного исследования. Экспериментальный учебный комплекс включает: а) учебные пособия (154, 155,160,161, 162,163, и др.), б) методические рекомендации (150, 151, 153, 156 и др.), в) видеокурсы, г) компьютерные программы |и др. дидактические материалы.
Этапы исследования. Исследование выдвинутой гипотезы проводилось с 1984-1996 г.г. в несколько этапов.
На первом этапе (1984 - 1988 г.г.) формировалась концептуальная основа исследования с целью выяснения трудностей усвоения иностранными студентами глагольной системы русского языка . В ходе экспериментального обучения было выявлено ,что опора на родной язык или языкпосредник снимает трудности в усвоении грамматики русского языка, в частности его глагольной системы, особенно в том случае ,когда учитывалась специфика формирования навыков и умений у разного контенгента студентов-иностранцев ( перенос , коррекция , первичное формирование).
На втором этапе (1988- 1992 г.г.) были разработаны экспериментальная программа, учебные материалы, тесты, зачетные и экзаменационные материалы. В течение этого времени проводилось экспериментальное обучение иностранных студентов по усвоению грамматического строя русской речи в русле выдвинутой в данном исследовании гипотезы.
На третьем этапе (1992 - 1993 г.г.) с целью проверки гипотезы осуществлялось опытное обучение на ряде кафедр русского языка как иностранного (РГПУ им. А.И.Герцена, ОГУ, БелГТАСМ, БГУ и др.) по учебным пособиям, методическим рекомендациям и учебным заданиям, которые были изданы нами в течение экспериментального обучения ( 19881993 г.г.).
На четвертом этапе ( 1993- 1995 г.г.) продолжалась экспериментальная работа: велись наблюдения за пониманием и усвоением грамматического строя русского языка студентами из разных стран, проводилась корректировка методической системы, исследовалась динамика развития грамматического строя русского языка иностранных студентов от подготовительного факультета до пятого курса филологического факультета.
На пятом этапе (1995- 1996 г.г.) была сформулирована концепция обучения русскому языку иностранных студентов подготовительного факультета, с учетом которой диссертантом были изданы экспериментальные учебники, учебные пособия , методические рекомендации, программы и т.д.
Опытное обучение, экспериментальные срезы в целях корректировки формируемой методики обучения грамматическому строю русского языка осуществлялись на базе кафедры русского языка БГУ и БелГТАСМ, частично - РГПУ им. А.И.Герцена.
Материалы экспериментов и опытного обучения легли в основу разработанного спецкурса для студентов- иностранцев как включенной формы обучения , так и основной ( 1988- 1989, 1994-1995, 1995-1996 уч. г.г.)
Достоверность и обоснованность полученных результатов обеспечиваются: фундаментальной методологической базой исследования, ориентирующего социально-педагогический процесс на обеспечение высокого профессионализма обучаемых; детальным анализом и результативным синтезом идей, разрабатываемых в современной лингводидактике, функциональной и когнитивной лингвистике, теории текста, этносоциопсихо-лингвистике и в других смежных научных сферах; исследованием обширного теоретического и практического материала, а также экспериментальной проверкой выдвигаемых положений в процессе профессиональной педагогической деятельности по обучению грамматическому строю русской речи иностранных студентов-филологов.
Апробация основных положений и результатов исследования осуществлялась:
- публикации (49 работ в отечественных и зарубежных изданиях) общим объемом 167,8 п.л.;
- доклады на научных конференциях (международных, всесоюзных, всероссийских, зональных, внутривузовских и др.)
-чтение лекций по методике русского языка как иностранного в БГУ;
- в процессе чтения спецкурса для иностранных студентов гуманитарных факультетов БГУ "Грамматические основы правильной русской речи";
- руководство научно-методическим семинаром для преподавателей русского языка как иностранного г. Белгорода;
- руководство курсовыми и дипломными работами иностранных студентов, обучающихся на гуманитарных факультетах БГУ.
На защиту выносятся следующие положения :
1. Обучение грамматическому строю речи должно осуществляться с учетом поэтапности становления и развития языковой личности иностранного студента-филолога, что предполагает формирование в процессе овладения русским языком вербально-семантического и лингвокогни-тивного (тезаурусного) уровней "вторичной" языковой личности, а также закладывание основ мотивационно-прагматического уровня (Ю.Н.Караулова) инофонной "языковой личности".
2. Результативность предлагаемой лингвометодической модели обучения грамматическому строю русской речи иностранных студентов-филологов в свете концепта "языковая личность" может гарантироваться при подходе к ней как многомерному феномену, составляющие которого есть а) сознание, б) знаковая система языка, в) правила и закономерности функционирования языковых единиц в процессе общения, г) социально-коммуникативная функция языка, которая формирует сознание и знаковую субстанцию языка.
3. Обучение базовому грамматическому строю русской речи иностранных студентов-филологов необходимо строить на основе учета системных и функциональных свойств языка и речи. Соотношение системного и функционального подходов к описанию и изучению языковых единиц предполагают учет взаимосвязи их значения, функции и формы, что позволяет преподавателю получить целостное представление о функционально-семантических, коммуникативных и формальных свойствах изучаемых единиц языка, вскрыть специфику взаимодействия и механизмы функционирования их в речи. Это способствует методически обоснованному представлению грамматических явлений.
4. Исходя из системной организации языка/речи, предлагаем комплексный подход к организации обучения иностранных студентов-филологов русскому языку с его грамматическим ядром как реализацию синхронной работы над словом- предложением — текстом, обеспечивающей в единстве решение поставленных коммуникативно-познавательных задач. В качестве наименьшей единицы презентации в усвоении языкового материала становится модель предложения.
5. Лингвометодическая система обучения грамматическому строю иноязычной (русской) речи должна моделировать этапы "подключения" обучающихся к языковой и лингвокогнитивной "картине мира". В связи с этим основной аспект при обучении должен всегда приходиться на обучение пониманию и порождению грамматически правильных и семантически точных речевых произведений - текстов, поэтому именно текст становится высшей учебной единицей в процессе овладения иностранными студентами грамматическим строем русской речи.
В диссертации приняты следующие сокращения :
ФСП - функционально-семантическое поле;
ССЦ - сложное синтаксическое целое;
НСВ/СВ - несовершенный/ совершенный вид глагола;
ЛСГ-д - лексико-семантическая группа глаголов движения;
РКИ - русский язык как иностранный;
И.п - именительный падеж;
Р.п. - родительный падеж и т.д.;
РД - речевая деятельность;
ВРД - виды речевой деятельности;
ЛК - лингвистическая компетенция;
КК - коммуникативная компетенция;
ЭО - экспериментальное обучение;
ЭГ и КГ - экспериментальная группа; контрольная група;
ПЭО - программа экспериментального обучения ;
КПЗ - коммуникативно-познавательные задачи
Введение диссертации (часть автореферата) на тему «Становление гуманистических ценностей педагога: В аспекте языковой личности»
На грани эпох, в кризисные, переломные моменты истории человечества, в условиях коренных преобразований общества всегда возрастал интерес к ценностным основам отдельной личности и общества в целом. Произошедшие за последнее время изменения в российском обществе потребовали не только переоценки значимости многих фундаментальных ценностей, но и привели к очевидной востребованности гуманистических ценностей.
Смена приоритетов в социальном развитии неизбежно влечет изменения в социальных структурах, в том числе и в образовании. Идея гуманизации образования, получившая широкое распространение в мировом сообществе, является не просто отображением ведущей тенденции изменяющегося мира, но и одной из внутренних предпосылок становления новой школы, которая может реально развиваться лишь при условии воспитания у субъектов образовательной деятельности гуманистических ценностей. Сегодня, когда образовательная парадигма меняется от традиционной к гуманистической, когда начинают реально воплощаться идеи гуманизации образования, особое значение приобретает личность учителя.
В зависимости от того, как проблема гуманистического подхода вписана в круг научных интересов исследователей, выбираются основные аспекты изучения его сущности и содержания: гуманистический подход рассматривается как постановка в центр педагогического пространства личности ребенка и культуросообразных способов деятельности и общения воспитателя (О.С.Газман); обосновывается, что на пересечении действий учителя и учащихся, в их встречном движении друг к другу возникает ряд таких эффектов, как со-понимание, со-оценка, со-действие в системе «учитель-ученик» (Ю.Н.Кулюткин, Г.С.Сухобская); раскрывается сущность этого педагогического явления: «Каждый человек несет в себе все человеческое содержание. .нет ничего такого, что мы не могли бы прочувствовать как часть самих себя» (Б.П.Бездухов). Б центре внимания исследователей находятся аксиологические аспекты готовности учителя к решению проблем гуманизации образования (В.Г.Воронцова), критерии гуманизации образования (И.А.Колесникова), гуманистические основы системы правового образования (Н.И.Элиасберг). Ученые анализируют и раскрывают сущность догматической и гуманистической функции образования (С.Г.Вершловский), тенденции гуманизации образования и гуманитаризации в научном и учебном познании в области естествознания (И.Ю.Алексашина), определяют круг проблем, связанных с гуманитарными основами педагогического образования (Ю.В.Сенько). Предметом исследования в науке становится феноменология нравственно-психологического климата педагогических коллективов (Г.А.Виноградова), основы профессиональной педагогической грамотности (Г.И.Михалевская), гуманистически ориентированный процесс общепедагогической подготовки (М.А.Нагорнов), проблема формирования ориентации учащихся на ценность образования (О.В.Правдина), возможности гуманизации дидактического процесса (Г.С.Трофимова). Идеи современных новых концепций воспитания, новых подходов в теории и методике воспитательной работы, а также управления воспитательными системами раскрыты в работах Б.П.Битинаса,
A.А.Бодалева, Е.В.Бондаревской, Н.В.Бордовской, З.И.Васильевой,
B.И.Гинецинского, Н.Ф.Головановой, В.И.Додонова, В.Б.Ежеленко, И.А.Зимней, С.Н.Иконниковой, И.М.Ильинского, В.Т.Кабуша, В.А.Караковского, Ю.А.Копылова, В.Ю.Кричевского, Н.Б.Крыловой, В.Т.Лисовского, Л.И.Новикивой, В.А.Петровского, Н.Л.Селивановой, В.В.Серикова, Н.Е.Щурковой, В.А.Якунина и других. В контексте парадигмального подхода к образованию называются типологии Ш.А.Амонашвили, М.В.Богуславского, А.П.Валицкой И.А.Колесниковой, Г.Б.Корнетова, И.Б.Котовой и Е.Н.Шиянова, В.Я.Пилиповского, А.А.Пинского, Н.С.Розова, Х.Г.Тхагапсоева, Е.А.Ямбурга и др.
Анализ сущности гуманизации образования, средств и способов данного процесса в педагогической действительности позволяет сказать о том, что идея гуманизации образования находит отражение в двух направлениях: гуманизации содержания образования и гуманизации педагогической деятельности. Средством сопряжения этих направлений и является освоение гуманистических ценностей будущими педагогами, их развитие. Гуманистические ценности пр.лягпга — главный критерий отношения педагогов к миру, явлениям жизни, друг другу, ученикам, интегрирующая категория, отражающая основополагающую идею существования в профессии и ее развития.
Специфика педагогической деятельности состоит в том, что результат ее всегда есть следствие совместной деятельности педагога и воспитанника.
Главное, что должно быть присуще подобному общению, - это субъект-субъектная основа, на которой оно протекает. При соблюдении такой позиции устанавливается не межролевой, а межличностный контакт, в результате которого возникает диалог, а значит и наибольшая восприимчивость и открытость к воздействиям одного участника общения на другого. Так гармоничное речевое поведение учителя становится гуманистической педагогической ценностью.
На рубеже тысячелетий новая научная парадигма, опирающаяся на идею антропоцентричности, начинает складываться и в языкознании. Наряду с традиционными сравнительно-исторической и системно-структурной парадигмами выступает антропоцентрическая парадигма, при которой внимание исследователей переносится с объектов познания на субъекта, то есть анализируется человек в языке и язык в человеке. Формирование антропоцентрической парадигмы привело к переориентации лингвистики на человека и его место в культуре, на личность носителя языка (В.А.Маслова, 2001).
''Язык может как способствовать, так и препятствовать самореализации человека, а человек состоится как личность только при условии, если он адекватно усвоит опыт предшествующих поколений, который в основном передается с помощью языка''.
Процессом пользования языком, который обнаруживает себя через речь, процессом реализации языка является речь. Как предмет изучения речь в современной науке рассматривается в самых различных аспектах: деятельностном, процессуальном; формальном, структуральном; социальном, коммуникативном, личностном; генетическом, в развитии; в связях с языком и другими кодовыми системами. Современная наука накопила значительный объем знаний в области теории и практики речи, речевой деятельности, ее физиологических и психологических механизмов, внутренней речи, восприятия речи слушающими, читающими.
В связи с необходимостью изучать процессы речеобразования, восприятия и формирования речи, их соотнесенности с системой языка, решать проблемы речевого воздействия возникают такие науки, как культура речи, психолингвистика, социопсихолингвистика, прагматика, семиотика, социолингвистика. В последние годы в зарубежной лингвистике бурно развиваются направления, связанные с изучением речевого поведения человека с помощью анализа процесса реального речевого общения — лингвоэтология неолингвистика). В приложении к современной образовательной действительности появляются такие области науки, как педагогическая лингвистика (лингвистика образования), «грамматика педагогического речевого поведения» (педагогическая лингвоэтология), педагогическая риторика. Развитие указанных проблем в науке связано с именами Н.Д.Арутюновой, М.М.Бахтина, Ю.А.Бельчикова, Г.И.Богина, Л.А.Введенской, В.В.Виноградова, Е.М.Верещагина, Г.О.Винокура, Л.С.Выготского, Б.Н.Головина, И.Н.Горелова, Л.К.Граудиной, Т.М.Дридзе, Н.И.Жинкина, И.А.Зимней, Ю.Н.Караулова, В.Г.Костомарова, Е.М.Лазуткиной, А.А.Леонтьева, А.Р.Лурия, М.Р.Львова, А.К.Михальской, А.А.Мурашова, С.И.Ожегова, А.А.Потебни, К.Ф.Седова, О.Б.Сиротининой, Л.И.Скворцова, В.В.Соколовой, Ю.С.Степанова, Н.И.Формановской, Р.М.Фрумкиной, А.М.Шахнарович, Е.Н.Ширяева, Л.В.Щербы, Дж.Гамперца, Х.Грайса, А.Меграбяна, Х.Остера, Дж.Остина, Б.Рассела, М.Севилль-Труак, Дж.Сирла, М.Стаббса, Дж.Ферта, Д.Хаймса, Р.Экмана и других.
Выделение коммуникативной функции речи, коммуникативный аспект рассмотрения речи позволяет сконцентрировать внимание на закономерностях употребления языка в речи и на социально-психологических условиях осуществления языковой деятельности.
Однако люди отличаются друг от друга, и в том числе - в своих речевых поступках. Только в речи индивида язык достигает своей окончательной определенности. Речевое поведение составляет существенную характеристику личности. Попытки выделить отличительные особенности речевого поведения и речевой деятельности привели к возникновению в науке нового объекта изучения - языковой личности. С позиций антропоцентрической парадигмы, человек познает мир через осознание себя, своей теоретической и предметной деятельности в нем, определяя иерархию ценностей, которая проявляется в речи человека, в связи с этим объектом изучения становится личность носителя языка - языковая личность.
Проблема развития языковой личности, речевого поведения человека интересовала ученых всегда, в настоящее время эта проблема активно исследуется. Определение человека по одному из основных признаков, отличающих его от других живых существ тем, что он - существо, одаренное словом, способностью говорить, общаться, принадлежит Аристотелю. Психологические свойства, которые успели развиться у определенной личности и которые дают о себе знать, когда она вступает в общение,
A.А.Бодалев определял как коммуникативное ядро. Обращение же к языковой личности связано с именами А.Г.Баранова, Г.И.Богина, И.Вейсгербера, С.Г.Воркачева, В.В.Виноградова, И.Н.Горелова, В.И.Карасик, В.В.Красных, Ю.Н.Караулова, Л.П.Клобуковой, Т.В.Кочетковой, А.А.Леонтьева,
B.А.Масловой, В.П.Нерознака, Ю.Е.Прохорова, К.Ф.Седова, О.Б.Сиротининой, Т.Н.Снитко, В.В.Соколовой, В.И.Шаховского и других. В логике антропоцентрической парадигмы языковая личность представлена несколькими составляющими: Я-физическое, Я-социальное, Я-интеллектуальное, Я-эмоциональное, Я-речемыслительное. Воздействуя на любую ипостась личности, можно воздействовать на все остальные стороны личности адресата. Языковая личность вступает в коммуникацию как многоаспектная, и это соотносится со стратегиями и тактиками речевого общения, с социальными и психологическими ролями коммуникантов, культурным смыслом информации, включенной в коммуникацию. Изучение языковой личности затрагивает одну из граней личности индивида, ту, что показывает его отношение к языку и речи. Своеобразие же коммуникативных проявлений личности определяется деятельностью ее сознания, которое, как писал Л.С.Выготский, есть «частный случай социального опыта» (Л.С.Выготский, 1984). Таким образом, языковая личность - это многослойная и многокомпонентная парадигма речевых личностей.
Обозначая речевое поведение педагога, развитие его языковой личности как педагогическую проблему, мы имеем в виду субъекта образовательной деятельности, обладающего совокупностью способностей и свойств, позволяющих ему осуществлять сугубо человеческую деятельность - говорить, общаться, создавать устные и письменные речевые произведения, отвечающие цели и условиям коммуникации, извлекать информацию из текстов, воспринимать речь; учителя говорящего, красноречивого (Homo eloguens), общающегося (Homo communicans).
Значит, «учитель говорящий», языковая личность учителя предстает в виде многогранного, многопланового объекта исследования, неповторимость которого определяется уровнем его развития, уникальной взаимообусловленностью гуманистической личностной диспозиции и комбинацией языковых проявлений. Таким образом, изучая эффективное педагогическое речевое общение, определяя способы развития гуманистических ценностей педагогического общения, целесообразно учитывать концепцию языковой личности как сквозную идею, «которая . пронизывает все аспекты изучения языка и одновременно разрушает границы между дисциплинами, изучающими человека, поскольку нельзя изучать человека вне языка» (Ю.Н.Караулов, 1989).
Однако задача специальной речевой подготовки преподавателей в системе профессионального образования до сих пор остается не решенной. Этот вопрос имеет «более общее и серьезное значение, чем любая чисто профессиональная проблема. Это возможно, ключевой вопрос возрождения, сохранения и развития отечественной речевой культуры» (А.К.Михальская, 1998); научиться владеть устной речью «в ее планирующей, познавательной и воздействующей функции - научиться владеть важным профессиональным умением учителя» (Т.А.Ладыженская, 1986). Как показали наши исследования, современная система обучения в педагогическом колледже не обеспечивает целенаправленного развития языковой личности будущих преподавателей. За годы учебы в колледже студенты приобретают некоторые умения и навыки по соблюдению требований культуры речи. Такая подготовка будущих педагогов не обеспечивает формирования у них навыков эффективного речевого поведения как интегративного профессионально важного качества.
Особое внимание к речевой подготовке учителя начальных классов в педагогических колледжах вызвано несколькими причинами: стремлением в современной образовательной действительности к реализации гуманистически направленного обучения, развивающего систему эмоционально-ценностного отношения к миру, людям, самим себе; заметным падением общего уровня речевой культуры работающих учителей начальных классов, уровня их общения с учениками, коллегами, родителями.
Необходимость обращения к аспектам речевой подготовки будущих учителей, гармонизации языковой личности будущих педагогов, формирования у них направленности на гуманистические ценности педагогического общения, ценности профессиональной и личной самореализации, особенно актуальные в педагогической действительности, определяет значимость изучения закономерностей развития системы гуманистических педагогических ценностей.
Актуальность рассматриваемой проблемы определяется, тем самым, наличием противоречия между медленной и не всегда успешно реализующейся тенденцией становления новой школы, между потребностью современного общества в педагоге-гуманисте, обладающем развитой системой гуманистических ценностей и освоившем не только универсальные, базовые гуманистические ценности, но и ценности педагогического общения и педагогической культуры, и отсутствием у студента-выпускника педагогического колледжа реального опыта осуществления процесса гуманизации образования,
Данное противоречие и определило проблему исследования. В теоретическом плане - это проблема обоснования и раскрытия системы гуманистических ценностей в современном образовании, определяющих соответствующую направленность личности будущего учителя, представленности гуманистических ценностей педагога в его языковой личности. В практическом плане - это проблема обоснования и раскрытия педагогической технологии развития языковой личности будущего учителя как специфического компонента общепедагогической подготовки, помогающего ему освоить не только «грамматику речевого поведения учителя», но и систему гуманных отношений к миру, людям и самому себе, отражающую характер и направленность его деятельности как ценностно-ориентированной на ученика, на его развитие как личности, как индивида, как самостоятельного субъекта деятельности.
Цель исследования - разработка и обоснование концепции развития гуманистических ценностей языковой личности будущих учителей.
Объект исследования - процесс подготовки будущих учителей к профессионально-педагогической деятельности.
Предмет исследования - процесс развития языковой личности учителя начальных классов как носителя гуманистических ценностей.
Основной явилась гипотеза о зависимости между уровнем развития языковой личности и гуманистических ценностей будущих педагогов. В соответствии с основной гипотезой были сформулированы частные гипотезы:
• существует связь между всеми компонентами системы гуманистических ценностей современной парадигмы образования;
• развитие системы гуманистических ценностей будущих учителей определит их гуманное поведение и направленность поступков;
• оптимизация присвоения гуманистических ценностей студентами в свою очередь приведет к развитию как гуманитарного качества, так и уровня освоения педагогической культуры будущих учителей. и
• предполагается сложная зависимость между уровнем развитости языковой личности будущих учителей и их профессиональной успешностью;
• уровень развития языковой личности студентов зависит от степени сформированности языковой личности обучающих их педагогов;
• внедрение педагогической технологии обучения гармоничному речевому поведению будущих учителей приведет к повышению их коммуникативного потенциала, коммуникативного поведения, коммуникативной компетентности, культуры речи - развитости языковой личности будущего учителя.
Цель и гипотезы исследования определили постановку основных задач исследования:
1. Провести теоретический анализ проблем становления ценностей и ценностных ориентаций и дать характеристику системы гуманистических ценностей в современном образовании.
2. Описать процесс реального речевого педагогического взаимодействия.
3. ''Составить модель языковой личности учителя начальных классов''.
4. Показать связи между присвоением гуманистических ценностей педагогического общения будущими педагогами и уровнем развития их языковой личности.
5. Апробировать инструмент для количественного измерения языковой личности педагога.
6. Разработать, теоретически обосновать педагогическую технологию развития языковой личности студентов - будущих педагогов создать ее программное и методическое обеспечение.
7. Установить эффективность внедрения экспериментальной технологии развития языковой личности будущих учителей начальных классов.
Методологическую основу исследования составили отечественные и зарубежные философско-аксиологические теории и концепции, раскрывающие проблемы ценностей человеческого существования, современные психологические и педагогические теории гуманизации образования, системный подход к познанию и преобразованию педагогической действительности, фундаментальные положения теории личности, деятельности и общения.
Теоретическими основаниями исследования являются:
• Труды по проблемам ценностей и ценностных ориентаций (Л.М.Архангельский, С.Ф.Анисимов, В.И.Бакштановскмй, М.И.Бобнева,
В.Брожик, Г.П.Выжлецов, Г.Г.Дилигенскйи, О.Г.Дробницкий, В.Т.Ганжин, В.В.Гречаный, Г.Н.Гумницкий, А.Г.Здравомыслов, М.С.Каган, В.П.Кобяков, И.С.Кон, Д.А.Леонтьев, М.Момов, Б.Д.Парыгин, Ю.М.Смоленцев, Ю.И.Согомонов, А.И.Титаренко, В.П.Тугаринов, А.К.Уледов, А.Г.Харчев, В.А.Ядов, М.Вебер, Ф.Знанецкий, Г.Олпорт, Т.Парсонс, П.Сорокин, У.Томас, М.Рокич, В.Франкл, Э.Шпрангер, В.А.Ядов и др.);
• представление об интегральных характеристиках человека как личности, индивида и субъекта деятельности, о единстве сознания, деятельности и развития личности в деятельности и общении (К.А.Абульханова-Славская, Б.Г.Ананьев, Л.И.Анциферов, А.Г.Асмолов, Б.С.Братусь, И.В.Бестужев-Лада, Л.П.Буева, А.А.Бодалев, В.В.Виноградов, Л.С.Выготский, В.В.Давыдов,
B.П.Зинченко, М.С.Каган, Ю.Н.Караулов, И.С.Кон, В.П. Лекторский, А.Н.Леонтьев, Б.Ф.Ломов, В.С.Мерлин, В.Н.Мясищев, А.В.Петровский,
C.Л.Рубинштейн, В.А.Ядов и др.);
• теория функционирования педагогических систем (Т.А.Ильина, Н.В.Кузьмина, Ф.Ф.Королев, В.А.Якунин и др.)
• идеи о междисциплинарных связях в системе наук о человеке (Б.Г.Ананьев, Б.Ф.Ломов, Е.Ф.Рыбалко, Л.В.Щерба и др.)
• современные концепции гуманизации образования в процессе профессиональной подготовки учителей (Ш.А.Амонашвили, В.П.Бездухов, А.А.Бодалев, Е.В.Бондаревская, С.Г.Вершловский, В.И.Загвязинский, И.А. Зимняя, С.В.Кульневич, В.Ю.Кричевский, Н.В.Кузьмина, Ю.Н.Кульюткин, Л.Н.Лесохина, В.И.Лещинский, Г.И.Михалевская, А.А.Реан, Ю.В.Сенько, Г.С.Сухобская, Е.И.Шиянов и др.);
• положения гуманистической психологии (Ш.Бюлер, П.Вайнцвацг, А.Маслоу, Д.Олпорт, К.Роджерс, Н.Роджерс, Э.Фромм; К.А.Абульханова-Славская, Л.Н.Анцыферова, С.Л.Братченко, Б.С.Братусь А.В.Брушлинский, Е.П.Варламова, Е.В.Василюк, Г.А.Глотова, И.С.Кон, С.Л.Рубинштейн, С.Ю.Степанов, Е.В.Шорохова и др.), концепция трансактного анализа Э.Берна; - гуманитарно-аксиологические исследования в современной педагогике (И.В.Бестужев-Лада, Т.Г.Браже, С.Г.Вершловский, В.Г.Воронцова, Э.Д.Днеп-ров, А.П.Заостровцев, А.С.Запесоцкий, И.А.Колесникова, В.Н.Максимова, Ю.В.Сенько и др.);
• культурологический подход в различных областях человеческой деятельности (В.С.Библер, А.П.Валицкая, И.С.Кон, Г.Б.Корнетов, Ю.М.Лот-ман, М.Мид, В.М.Розин, В.Н.Сагатовский и др.);
• положение об обучении как общении (Б.Г.Ананьев, В.А.Якунин и др.)
• результаты современных исследований в области речевого поведения человека, языковой личности (Г.И.Богин, А.А. Бодалев, И.Вейсгербер, Е.М.Верещагин, В.В.Виноградов, Л.С.Выготский, Б.Н.Головин, И.Н.Горелов, Т.М.Дридзе, Н.И.Жинкин, Ю.Н.Караулов, Л.П.Клобукова, А.А.Леонтьева,
A.Р.Лурия, В.А.Маслова, А.К.Михальская, Б.Ю.Норман, К.Ф.Седов, Л.И.Скворцова О.Б.Сиротинина, Н.И.Формановская Е.Н.Ширяев Л.В. Щерба, Дж.Гамперц, Х.Грайс, А.Меграбян, X.Остер, Дж.Остин, Б.Рассел, М.Севилль-Труак, Дж.Сирл, М.Стаббс, Дж.Ферт, Д.Хаймс, Р.Экман и др.);
• исследования в области педагогических технологий (В.П.Беспалько,
B.В.Карпов, В.Я.Кикоть, М.В.Кларин, В.Н.Кругликов, В.В.Петрусинский, А.М.Пырский, Ю.В.Сенько и др.).
Замысел, логику и содержание авторской концепции составляют: возможности развития гуманитарной составляющей профессионального обучения будущих педагогов, описание системы гуманистических ценностей в современном образовании, определение сущности языковой личности педагога, выявление структуры исследуемого явления, разработка и обоснование системы развития языковой личности будущего учителя как носителя гуманистических ценностей.
Методы исследования. Выбор методов исследования обусловлен характером исследовательских задач. В основу стратегии исследования был положен системный подход и сравнительный способ анализа фактического материала. Основные методы исследования включали: системный и критический анализ философской, психологической, педагогической, методической и лингвистической литературы, концептуальное моделирование и педагогический эксперимент в его констатирующем и формирующем вариантах. Из системы эмпирических методов для решения частных задач исследования применялись следующие: опрос (анкетирование, интервью, беседа), тестирование, рейтинг, контент-анализ продуктов деятельности, прямое, косвенное, включенное наблюдение, анализ творческих работ студентов, открытых уроков учителей, материалов бесед, ауторейтинг. Для обработки и систематизации эмпирических данных применялись математикостатистические методы, в том числе корреляционный и факторный анализ, с использованием пакета прикладных программ SPSS 10.0.5. Описание и интерпретация эмпирического материала осуществлялись с помощью структурно-генетического метода.
Обоснованность и достоверность полученных данных обеспечивалась организацией эксперимента в строгом соответствии с целями, задачами и условиями осуществляемого исследования; репрезентативной выборкой (всего на различных этапах исследования приняло участие 1800 человек); рациональным сочетанием теоретического и экспериментального исследований; применением комплекса методов, адекватного предмету и задачам исследования; корректным применением методов статистической обработки данных; практическим подтверждением выдвинутой гипотезы исследования при реализации экспериментальной программы.
Базой для проведения исследования стали Высший педагогический колледж №7 Санкт-Петербурга, Высший педагогический колледж г.Боровичи, курсы повышения квалификации ИПК ПРО г.Бокситогорска и г.Тихвина, средние образовательные школы Санкт-Петербурга (№248, 386, 393, 397, 501, 270, 322) и г.Тихвина (№1, 3), Санкт-Петербургский государственный морской технический университет, Ленинградский областной университет им А.С.Пушкина.
На защиту выносятся следующие положения:
1. Система гуманистических ценностей в современном образовании представляет собой трехкомпонентную структуру, слагающуюся из: а) универсальных, базовых гуманистических педагогических ценностей (антропоцентризм, самостоятельная и творческая роль человека, самопознание, развитие интеллекта, моральное воздействие знания, посильное развитие способностей, свободное поведение личности); б) ценностей педагогического общения (эмпатия, конгруэнтность, рефлексия, толерантность, активный подход, доброжелательность, эмоциональная стабильность); в) ценностей, определяющих педагогическую культуру (профессиональная увлеченность, нравственность, такт, ответственность).
2. Гуманизация педагогического образования посредством развития языковой личности будущего учителя, обучение его гармоничному речевому поведению для создания на уроке гуманистически ценного полилога, атмосферы взаимопонимания, сотрудничества, «взращивания человека», предоставления ему свободы для самовыражения является насущной необходимостью.
3. Концепция развития языковой личности будущего учителя в современном образовании представлена тремя ступенями: 1) развитием языкового чутья, 2) повышением уровня языкового образования, 3) гармонизацией, развитием языкового сознания, филологической культуры будущего учителя, свидетельствующими о присвоении гуманистических ценностей общения будущими учителями.
4. ''Теоретическая модель языковой личности педагога представляет собой систему, в которой выделены пять этапов развития грамотного профессионального речевого поведения, определяющих основу гуманистически ценностной диспозиции личности: коммуникативный потенциал личности (общительность), коммуникативная компетентность, профессиональная культура речи, коммуникативная культура, коммуникативное поведение''.
5. Экспериментальная система гармонизации речевого поведения будущих педагогов основана на концепции развития языковой личности будущего учителя, третья ступень которой представляет собой педагогическую технологию развития языковой личности студентов — будущих учителей начальных классов.
6. Педагогическая технология развития языковой личности ориентирована на совершенствование речевой подготовки студентов, обучающихся в педагогическом колледже, и способствует развитию способностей и свойств языковой личности будущих учителей начальных классов, вследствие чего они могут осуществлять профессионально коммуникативную речевую деятельность, которая имеет гуманистическую направленность, предстающую в конкретных проявлениях: предметно-образной и предметно-понятийной речевой адаптации содержания образования; оказании эмоциональной поддержки воспитанникам, развитии у них мотивационно-ценностных установок; организации и управлений общением.
Научная новизна исследования заключается в том, что в нем
• структурирована система гуманистических ценностей в современном образовании, представляющая трехкомпонентную структуру, слагаемыми которой стали: 1) универсальные, базовые гуманистические педагогические ценности; 2) ценности профессионального владения педагогическим общением; 3) ценности, составляющие педагогическую культуру обоснована и экспериментально проверена профессионально ориентированная совокупность ценностей педагогического общения (эмпатия, конгруэнтность, рефлексия, толерантность, активный подход, доброжелательность, эмоциональная стабильность), являющаяся составной частью системы профессионально значимых гуманистических ценностей современного образования; предложена концепция развития языковой личности будущего педагога начального образования, основывающаяся на использовании трех ступеней развития языковой личности: языкового чутья; языкового образования; языкового сознания и языкового самосознания — находящих свое воплощение в реализации ресурсов авторской модели совершенствования речевой подготовки будущих учителей. разработана и обоснована концептуальная модель языковой личности учителя, работающего в парадигме современного образования, показаны особенности развития профессионального самосознания учителя начальных классов; определены (с использованием эмпирических данных, полученных на репрезентативной выборке) особенности речевого взаимодействия учителей начальных классов; выявлена специфика коммуникативного поведения педагога (паралингвистических средств общения: имплицитной коммуникации и невербальных сигналов);
В научно-методическом плане новизну составляют: обоснование исходных принципов и построение общей модели организации и проведения педагогического эксперимента, связанного с проверкой эффективности экспериментальной системы гармонизации речевого поведения будущих педагогов; выявление структурно-содержательных этапов развития языковой личности будущего педагога, определяющих основу гуманистической ценностной диспозиции личности.
• комплекс созданных или модифицированных научно-практических и диагностических методов оценки уровней сформированное™ компонентов языковой личности.
В эмпирическом плане новыми представляются установленные факты и закономерности, раскрывающие динамику развития языковой личности будущего учителя, которая способна обеспечить выход на уровень гуманитарных способов мышления и поведения.
Теоретическая значимость исследования.
• Результаты исследования позволят осуществить более широкий подход к решению проблем гуманизации образования.
• Обоснование необходимости развития гуманитарной составляющей профессионального обучения будущих педагогов, выявление системы гуманистических ценностей в современном образовании, определение сущности языковой личности педагога составят основу более широких теоретических представлений о профессиональной подготовке учителей.
• Исследование может быть квалифицировано как решение крупной научной проблемы, связанной с созданием целостной системы развития языковой личности будущих педагогов.
• Предлагаемая в диссертации общая концепция развития системы гуманистических педагогических ценностей средствами гармонизации языковой личности будущих педагогов, формирования у них направленности на гуманистические ценности педагогического общения, ценности профессиональной и личной самореализации и производные ее аспекты в значительной степени способствуют развитию и обогащению педагогической и психологической теории, а также теории управления.
• Результаты исследования вносят существенный вклад в развитие общей и частной дидактики, способствуют определению стратегии их развития: позволяют рассматривать дидактические условия как фактор, определяющий успешность процесса развития гуманистических качеств личности.
• В работе теоретически обоснованы пути и способы развития языковой личности будущего педагога средствами дидактики, вытекающие из взгляда на обучение как общение, что дает возможность использовать коммуникативную природу учебного процесса для целей активизации личностного потенциала будущих учителей. • Проведенное исследование вносит заметный вклад и в развитие категориального аппарата педагогической науки: определены понятия «система гуманистических педагогических ценностей», «языковая личность педагога», «система развития языковой личности будущего учителя», уточнено понятие «гармонизация речевого поведения педагога», выделены отличительные признаки понятий «профессиональное самосознание учителя», «речевое взаимодействие педагогов», «коммуникативное поведение педагога».
Практическая значимость работы определяется вкладом в процесс подготовки будущих учителей к профессиональной деятельности, способствующим гуманизации и гуманитаризации педагогического образования и содействующим подготовке востребованных конкурентноспособных специалистов.
Так, предложенная концепция развития языковой личности учителя начальных классов может быть модифицирована в разных частях или полном объеме при профессиональной подготовке педагогов любого профиля. Авторская педагогическая технология развития языковой личности будущего учителя может быть использована на курсах повышения квалификации преподавателей, студентами - будущими педагогами при проведении педагогической практики в образовательных учреждениях, учителями начальной и средней школы при обучении школьников.
Самостоятельную ценность имеет созданный научно-практический инструментарий, позволяющий проводить как диагностику уровней развития языковой личности преподавателей, так и индивидуальную оценку развития языковой личности будущих учителей. Результаты, полученные в ходе исследования, могут быть использованы для оптимизации речевого поведения студентов и учащихся школ, учителей в системе профессиональной переподготовки. Кроме того, критерии сценки речи говорящего и схема оценки речевого поведения учителя могут применяться администрацией учебных заведений различного типа при проведении аттестации педагогов.
Апробация результатов исследования. Материалы и результаты исследования отражены в публикациях автора (общий объем более 48 печатных листов), представленных в виде тезисов докладов на научных конференциях, статей, двух методических и четырех учебных пособиях, двух монографиях: «Гуманистические ценности в образовании и развитие языковой личности педагога» (2001) и «Проблемы становления системы гуманистических ценностей в современном образовании» (2002). Содержание и основные результаты исследования докладывались на международных и межрегиональных научных конференциях и симпозиумах в Санкт-Петербурге (1995, 1997, 1998, 1999,2000, 2001, 2002 г.г.), г.Иркутске (1998 г.); г. Бокситогорске (2002 г.), г. Мурманске (2002 г.) и ряде других.
Основные результаты исследования были представлены и обсуждены на заседаниях научно-методических советов Высшего педагогического колледжа №7 С-Петербурга, Высшего педагогического колледжа г.Боровичи, заседаниях кафедр гуманитарного образования факультета естественнонаучного и гуманитарного образования СПбГМТУ, педагогики детства и современных образовательных технологий факультета психологии и педагогики ЛГОУ им. А.С.Пушкина, педагогики и педагогической психологии факультета психологии СПбГУ.
Внедрение результатов исследования. Материалы исследования положены в основу учебных курсов «Культура речи», «Риторика для педагогов», «Методика обучения русскому языку», «Русский язык и культура речи», читающихся студентам Высшего педагогического колледжа №7; Санкт-Петербургского государственного морского технического университета; спецкурса «Культура речи и эффективное речевое общение», читаемого студентам факультета психологии и педагогики Ленинградского государственного областного университета им. А.С.Пушкина; спецкурса «Эффективное речевое взаимодействие» читаемого на курсах повышения квалификации педагогов и руководителей учреждений образования Ленинградской области.
Объем и структура работы. Диссертация состоит из введения, шести глав, заключения, списка литературы, включающего 817 наименований, и приложений. Материал изложен на 493 страницах, содержит 56 таблиц и 58 рисунков.
!вариант со страницами
На грани эпох, в кризисные, переломные моменты истории человечества, в условиях коренных преобразований общества всегда возрастал интерес к ценностным основам отдельной личности и общества в целом. Произошедшие за последнее время изменения в российском обществе потребовали не только переоценки значимости многих фундаментальных ценностей, но и привели к очевидной востребованности гуманистических ценностей.
Смена приоритетов в социальном развитии неизбежно влечет изменения в социальных структурах, в том числе и в образовании. Идея гуманизации образования, получившая широкое распространение в мировом сообществе, является не просто отображением ведущей тенденции изменяющегося мира, но и одной из внутренних предпосылок становления новой школы, которая может реально развиваться лишь при условии воспитания у субъектов образовательной деятельности гуманистических ценностей. Сегодня, когда образовательная парадигма меняется от традиционной к гуманистической, когда начинают реально воплощаться идеи гуманизации образования, особое значение приобретает личность учителя.
В зависимости от того, как проблема гуманистического подхода вписана в круг научных интересов исследователей, выбираются основные аспекты изучения его сущности и содержания: гуманистический подход рассматривается как постановка в центр педагогического пространства личности ребенка и культуросообразных способов деятельности и общения воспитателя (О.С.Газман); обосновывается, что на пересечении действий учителя и учащихся, в их встречном движении друг к другу возникает ряд таких эффектов, как со-понимание, со-оценка, со-действие в системе «учитель-ученик» (Ю.Н.Кулюткин, Г.С.Сухобская); раскрывается сущность этого педагогического явления: «Каждый человек несет в себе все человеческое содержание...нет ничего такого, что мы не могли бы прочувствовать как часть самих себя» (Б.П.Бездухов). Б центре внимания исследователей находятся аксиологические аспекты готовности учителя к решению проблем гуманизации образования (В.Г.Воронцова), критерии гуманизации образования (И.А.Колесникова), гуманистические основы системы правового образования (Н.И.Элиасберг). Ученые анализируют и раскрывают сущность догматической
5
и гуманистической функции образования (С.Г.Вершловский), тенденции
гуманизации образования и гуманитаризации в научном и учебном познании в
области естествознания (И.Ю.Алексашина), определяют круг проблем, связан
ных с гуманитарными основами педагогического образования (Ю.В.Сенько).
Предметом исследования в науке становится феноменология нравственно-
психологического климата педагогических коллективов (Г.А.Виноградова),
основы профессиональной педагогической грамотности (Г.И.Михалевская),
гуманистически ориентированный процесс общепедагогической подготовки
(М.А.Нагорнов), проблема формирования ориентации учащихся на ценность
образования (О.В.Правдина), возможности гуманизации дидактического
процесса (Г.С.Трофимова). Идеи современных новых концепций воспитания,
новых подходов в теории и методике воспитательной работы, а также
управления воспитательными системами раскрыты в работах Б.П.Битинаса,
А.А.Бодалева, Е.В.Бондаревской, Н.В.Бордовской, З.И.Васильевой,
В.И.Гинецинского, Н.Ф.Головановой, В.И.Додонова, В.Б.Ежеленко,
И.А.Зимней, С.Н.Иконниковой, И.М.Ильинского, В.Т.Кабуша,
В.А.Караковского, Ю.А.Копылова, В.Ю.Кричевского, Н.Б.Крыловой, В.Т.Лисовского, Л.И.Новикивой, В.А.Петровского, Н.Л.Селивановой, В.В.Серикова, Н.Е.Щурковой, В.А.Якунина и других. В контексте парадигмального подхода к образованию называются типологии Ш.А.Амонашвили, М.В.Богуславского, А.П.Валицкой И.А.Колесниковой, Г.Б.Корнетова, И.Б.Котовой и Е.Н.Шиянова, В.Я.Пилиповского, А.А.Пинского, Н.С.Розова, Х.Г.Тхагапсоева, Е.А.Ямбурга и др.
Анализ сущности гуманизации образования, средств и способов данного процесса в педагогической действительности позволяет сказать о том, что идея гуманизации образования находит отражение в двух направлениях: гуманизации содержания образования и гуманизации педагогической деятельности. Средством сопряжения этих направлений и является освоение гуманистических ценностей будущими педагогами, их развитие. Гуманистические ценности пе.гтягпгя — главный коитеоий отношения педагогов к миру, явлениям жизни, друг другу, ученикам, интегрирующая категория, отражающая основополагающую идею существования в профессии и ее развития.
Специфика педагогической деятельности состоит в том, что результат ее всегда есть следствие совместной деятельности педагога и воспитанника.
Главное, что должно быть присуще подобному общению, - это субъект-субъектная основа, на которой оно протекает. При соблюдении такой позиции устанавливается не межролевой, а межличностный контакт, в результате которого возникает диалог, а значит и наибольшая восприимчивость и открытость к воздействиям одного участника общения на другого. Так гармоничное речевое поведение учителя становится гуманистической педагогической ценностью.
На рубеже тысячелетий новая научная парадигма, опирающаяся на идею антропоцентричности, начинает складываться и в языкознании. Наряду с традиционными сравнительно-исторической и системно-структурной парадигмами выступает антропоцентрическая парадигма, при которой внимание исследователей переносится с объектов познания на субъекта, то есть анализируется человек в языке и язык в человеке. Формирование антропоцентрической парадигмы привело к переориентации лингвистики на человека и его место в культуре, на личность носителя языка (В.А.Маслова, 2001).
Язык может как способствовать, так и препятствовать самореализации человека, а человек состоится как личность только при условии, если он адекватно усвоит опыт предшествующих поколений, который в основном передается с помощью языка.
Процессом пользования языком, который обнаруживает себя через речь, процессом реализации языка является речь. Как предмет изучения речь в современной науке рассматривается в самых различных аспектах: деятельностном, процессуальном; формальном, структуральном; социальном, коммуникативном, личностном; генетическом, в развитии; в связях с языком и другими кодовыми системами. Современная наука накопила значительный объем знаний в области теории и практики речи, речевой деятельности, ее физиологических и психологических механизмов, внутренней речи, восприятия речи слушающими, читающими.
В связи с необходимостью изучать процессы речеобразования, восприятия и формирования речи, их соотнесенности с системой языка, решать проблемы речевого воздействия возникают такие науки, как культура речи, психолингвистика, социопсихолингвистика, прагматика, семиотика, социолингвистика. В последние годы в зарубежной лингвистике бурно развиваются направления, связанные с изучением речевого поведения человека с помощью анализа процесса реального речевого общения — лингвоэтология
7
(неолингвистика). В приложении к современной образовательной
действительности появляются такие области науки, как педагогическая
лингвистика (лингвистика образования), «грамматика педагогического
речевого поведения» (педагогическая лингвоэтология), педагогическая
риторика. Развитие указанных проблем в науке связано с именами
Н.Д.Арутюновой, М.М.Бахтина, Ю.А.Бельчикова, Г.И.Богина,
Л.А.Введенской, В.В.Виноградова, Е.М.Верещагина, Г.О.Винокура,
Л.С.Выготского, Б.Н.Головина, И.Н.Горелова, Л.К.Граудиной, Т.М.Дридзе,
Н.И.Жинкина, И.А.Зимней, Ю.Н.Караулова, В.Г.Костомарова,
Е.М.Лазуткиной, А.А.Леонтьева, А.Р.Лурия, М.Р.Львова, А.К.Михальской, А.А.Мурашова, С.И.Ожегова, А.А.Потебни, К.Ф.Седова, О.Б.Сиротининой, Л.И.Скворцова, В.В.Соколовой, Ю.С.Степанова, Н.И.Формановской, Р.М.Фрумкиной, А.М.Шахнарович, Е.Н.Ширяева, Л.В.Щербы, Дж.Гамперца, Х.Грайса, А.Меграбяна, Х.Остера, Дж.Остина, Б.Рассела, М.Севилль-Труак, Дж.Сирла, М.Стаббса, Дж.Ферта, Д.Хаймса, Р.Экмана и других.
Выделение коммуникативной функции речи, коммуникативный аспект рассмотрения речи позволяет сконцентрировать внимание на закономерностях употребления языка в речи и на социально-психологических условиях осуществления языковой деятельности.
Однако люди отличаются друг от друга, и в том числе - в своих речевых поступках. Только в речи индивида язык достигает своей окончательной определенности. Речевое поведение составляет существенную характеристику личности. Попытки выделить отличительные особенности речевого поведения и речевой деятельности привели к возникновению в науке нового объекта изучения - языковой личности. С позиций антропоцентрической парадигмы, человек познает мир через осознание себя, своей теоретической и предметной деятельности в нем, определяя иерархию ценностей, которая проявляется в речи человека, в связи с этим объектом изучения становится личность носителя языка - языковая личность.
ІІрсолема развития языковой личности, речевого поведения человека интересовала ученых всегда, в настоящее время эта проблема активно исследуется. Определение человека по одному из основных признаков, отличающих его от других живых существ тем, что он - существо, одаренное словом, способностью говорить, общаться, принадлежит Аристотелю. Психологические свойства, которые успели развиться у определенной
8 личности и которые дают о себе знать, когда она вступает в общение, А.А.Бодалев определял как коммуникативное ядро. Обращение же к языковой личности связано с именами А.Г.Баранова, Г.И.Богина, И.Вейсгербера, С.Г.Воркачева, В.В.Виноградова, И.Н.Горелова, В.И.Карасик, В.В.Красных, Ю.Н.Караулова, Л.П.Клобуковой, Т.В.Кочетковой, А.А.Леонтьева, В.А.Масловой, В.П.Нерознака, Ю.Е.Прохорова, К.Ф.Седова, О.Б.Сиротининой, Т.Н.Снитко, В.В.Соколовой, В.И.Шаховского и других. В логике антропоцентрической парадигмы языковая личность представлена несколькими составляющими: Я-физическое, Я-социальное, Я-интеллектуальное, Я-эмоциональное, Я-речемыслительное. Воздействуя на любую ипостась личности, можно воздействовать на все остальные стороны личности адресата. Языковая личность вступает в коммуникацию как многоаспектная, и это соотносится со стратегиями и тактиками речевого общения, с социальными и психологическими ролями коммуникантов, культурным смыслом информации, включенной в коммуникацию. Изучение языковой личности затрагивает одну из граней личности индивида, ту, что показывает его отношение к языку и речи. Своеобразие же коммуникативных проявлений личности определяется деятельностью ее сознания, которое, как писал Л.С.Выготский, есть «частный случай социального опыта» (Л.С.Выготский, 1984). Таким образом, языковая личность - это многослойная и многокомпонентная парадигма речевых личностей.
Обозначая речевое поведение педагога, развитие его языковой личности как педагогическую проблему, мы имеем в виду субъекта образовательной деятельности, обладающего совокупностью способностей и свойств, позволяющих ему осуществлять сугубо человеческую деятельность - говорить, общаться, создавать устные и письменные речевые произведения, отвечающие цели и условиям коммуникации, извлекать информацию из текстов, воспринимать речь; учителя говорящего, красноречивого (Homo eloguens), общающегося (Homo communicans).
Значит, «учитель говорящий», языковая личность учителя предстает в виде многогранного, многопланового объекта исследования, неповторимость которого определяется уровнем его развития, уникальной взаимообусловленностью гуманистической личностной диспозиции и комбинацией языковых проявлений. Таким образом, изучая эффективное педагогическое речевое общение, определяя способы развития гуманистических ценностей
9 педагогического общения, целесообразно учитывать концепцию языковой личности как сквозную идею, «которая ... пронизывает все аспекты изучения языка и одновременно разрушает границы между дисциплинами, изучающими человека, поскольку нельзя изучать человека вне языка» (Ю.Н.Караулов, 1989).
Однако задача специальной речевой подготовки преподавателей в системе профессионального образования до сих пор остается не решенной. Этот вопрос имеет «более общее и серьезное значение, чем любая чисто профессиональная проблема... Это возможно, ключевой вопрос возрождения, сохранения и развития отечественной речевой культуры» (А.К.Михальская, 1998); научиться владеть устной речью «в ее планирующей, познавательной и воздействующей функции - научиться владеть важным профессиональным умением учителя» (Т.А.Ладыженская, 1986). Как показали наши исследования, современная система обучения в педагогическом колледже не обеспечивает целенаправленного развития языковой личности будущих преподавателей. За годы учебы в колледже студенты приобретают некоторые умения и навыки по соблюдению требований культуры речи. Такая подготовка будущих педагогов не обеспечивает формирования у них навыков эффективного речевого поведения как интегративного профессионально важного качества.
Особое внимание к речевой подготовке учителя начальных классов в педагогических колледжах вызвано несколькими причинами: стремлением в современной образовательной действительности к реализации гуманистически направленного обучения, развивающего систему эмоционально-ценностного отношения к миру, людям, самим себе; заметным падением общего уровня речевой культуры работающих учителей начальных классов, уровня их общения с учениками, коллегами, родителями.
Необходимость обращения к аспектам речевой подготовки будущих
учителей, гармонизации языковой личности будущих педагогов,
формирования у них направленности на гуманистические ценности педагогического общения, ценности профессиональной и личной самореализации, особенно актуальные в педагогической действительности, определяет значимость изучения закономерностей развития системы гуманистических педагогических ценностей.
Актуальность рассматриваемой проблемы определяется, тем самым, наличием противоречия между медленной и не всегда успешно реализующейся тенденцией становления новой школы, между потребностью современного
10 общества в педагоге-гуманисте, обладающем развитой системой гуманистических ценностей и освоившем не только универсальные, базовые гуманистические ценности, но и ценности педагогического общения и педагогической культуры, и отсутствием у студента-выпускника педагогического колледжа реального опыта осуществления процесса гуманизации образования,
Данное противоречие и определило проблему исследования. В теоретическом плане - это проблема обоснования и раскрытия системы гуманистических ценностей в современном образовании, определяющих соответствующую направленность личности будущего учителя, представленности гуманистических ценностей педагога в его языковой личности. В практическом плане - это проблема обоснования и раскрытия педагогической технологии развития языковой личности будущего учителя как специфического компонента общепедагогической подготовки, помогающего ему освоить не только «грамматику речевого поведения учителя», но и систему гуманных отношений к миру, людям и самому себе, отражающую характер и направленность его деятельности как ценностно-ориентированной на ученика, на его развитие как личности, как индивида, как самостоятельного субъекта деятельности.
Цель исследования - разработка и обоснование концепции развития гуманистических ценностей языковой личности будущих учителей.
Объект исследования - процесс подготовки будущих учителей к профессионально-педагогической деятельности.
Предмет исследования - процесс развития языковой личности учителя начальных классов как носителя гуманистических ценностей.
Основной явилась гипотеза о зависимости между уровнем развития языковой личности и гуманистических ценностей будущих педагогов. В соответствии с основной гипотезой были сформулированы частные гипотезы:
существует связь между всеми компонентами системы гуманистических ценностей современной парадигмы образования;
развитие системы гуманистических ценностей будущих учителей определит их гуманное поведение и направленность поступков;
оптимизация присвоения гуманистических ценностей студентами в свою очередь приведет к развитию как гуманитарного качества, так и уровня освоения педагогической культуры будущих учителей.
предполагается сложная зависимость между уровнем развитости языковой личности будущих учителей и их профессиональной успешностью;
уровень развития языковой личности студентов зависит от степени сформированности языковой личности обучающих их педагогов;
внедрение педагогической технологии обучения гармоничному речевому поведению будущих учителей приведет к повышению их коммуникативного потенциала, коммуникативного поведения, коммуникативной компетентности, культуры речи - развитости языковой личности будущего учителя.
Цель и гипотезы исследования определили постановку основных задач исследования:
Провести теоретический анализ проблем становления ценностей и ценностных ориентации и дать характеристику системы гуманистических ценностей в современном образовании.
Описать процесс реального речевого педагогического взаимодействия.
Составить модель языковой личности учителя начальных классов.
Показать связи между присвоением гуманистических ценностей педагогического общения будущими педагогами и уровнем развития их языковой личности.
Апробировать инструмент для количественного измерения языковой личности педагога.
Разработать, теоретически обосновать педагогическую технологию развития языковой личности студентов - будущих педагогов создать ее программное и методическое обеспечение.
Установить эффективность внедрения экспериментальной технологии развития языковой личности будущих учителей начальных классов.
Методологическую основу исследования составили отечественные и зарубежные философско-аксиологические теории и концепции, раскрывающие проблемы ценностей человеческого существования, современные психологические и педагогические теории гуманизации образования, системный подход к познанию и преобразованию педагогической действительности, фундаментальные положения теории личности, деятельности и общения.
Теоретическими основаниями исследования являются:
Труды по проблемам ценностей и ценностных ориентации
(Л.М.Архангельский, С.Ф.Анисимов, В.И.Бакштановскмй, М.И.Бобнева,
12 В.Брожик, Г.П.Выжлецов, Г.Г.Дилигенскйй, О.Г.Дробницкий, В.Т.Ганжин, В.В.Гречаный, Г.Н.Гумницкий, А.Г.Здравомыслов, М.С.Каган, В.П.Кобяков, И.С.Кон, Д.А.Леонтьев, М.Момов, Б.Д.Парыгин, Ю.М.Смоленцев, Ю.И.Согомонов, А.И.Титаренко, В.П.Тугаринов, А.К.Уледов, А.Г.Харчев, В.А.Ядов, М.Вебер, Ф.Знанецкий, Г.Олпорт, Т.Парсонс, П.Сорокин, У.Томас, М.Рокич, В.Франкл, Э.Шпрангер, В.А.Ядов и др.);
представление об интегральных характеристиках человека как личности, индивида и субъекта деятельности, о единстве сознания, деятельности и развития личности в деятельности и общении (К.А.Абульханова-Славская, Б.Г.Ананьев, Л.И.Анциферов, А.Г.Асмолов, Б.С.Братусь, И.В.Бестужев-Лада, Л.П.Буева, А.А.Бодалев, В.В.Виноградов, Л.С.Выготский, В.В.Давыдов, В.П.Зинченко, М.С.Каган, Ю.Н.Караулов, И.С.Кон, В.П.Лекторский, А.Н.Леонтьев, Б.Ф.Ломов, В.С.Мерлин, В.Н.Мясищев, А.В.Петровский, С.Л.Рубинштейн, В.А.Ядов и др.);
теория функционирования педагогических систем (Т.А.Ильина, Н.В.Кузьмина, Ф.Ф.Королев, В.А.Якунин и др.)
идеи о междисциплинарных связях в системе наук о человеке (Б.Г.Ананьев, Б.Ф.Ломов, Е.Ф.Рыбалко, Л.В.Щерба и др.)
современные концепции гуманизации образования в процессе профессиональной подготовки учителей (Ш.А.Амонашвили, В.П.Бездухов, А.А.Бодалев, Е.В.Бондаревская, С.Г.Вершловский, В.И.Загвязинский, И.А.Зимняя, С.В.Кульневич, В.Ю.Кричевский, Н.В.Кузьмина, Ю.Н.Кульюткин, Л.Н.Лесохина, В.И.Лещинский, Г.И.Михалевская, А.А.Реан, Ю.В.Сенько, Г.С.Сухобская, Е.И.Шиянов и др.);
положения гуманистической психологии (Ш.Бюлер, П.Вайнцвацг, А.Маслоу, Д.Олпорт, К.Роджерс, Н.Роджерс, Э.Фромм; К.А.Абульханова-Славская, Л.Н.Анцыферова, С.Л.Братченко, Б.С.Братусь А.В.Брушлинский, Е.П.Варламова, Е.В.Василюк, Г.А.Глотова, И.С.Кон, С.Л.Рубинштейн, С.Ю.Степанов, Е.В.Шорохова и др.), концепция трансактного анализа Э.Берна;
гуманитарно-аксиологические исследования в современной педагогике (И.В.Бестужев-Лада, Т.Г.Браже, С.Г.Вершловский, В.Г.Воронцова, Э.Д.Днеп-ров, А.П.Заостровцев, А.С.Запесоцкий, И.А.Колесникова, В.Н.Максимова, Ю.В.Сенько и др.);
культурологический подход в различных областях человеческой деятельности (В.С.Библер, А.П.Валицкая, И.С.Кон, Г.Б.Корнетов, Ю.М.Лот-ман, М.Мид, В.М.Розин, В.Н.Сагатовский и др.);
положение об обучении как общении (Б.Г.Ананьев, В.А.Якунин и др.)
результаты современных исследований в области речевого поведения человека, языковой личности (Г.И.Богин, А.А. Бодалев, Й.Вейсгербер, Е.М.Верещагин, В.В.Виноградов, Л.С.Выготский, Б.Н.Головин, И.Н.Горелов, Т.М.Дридзе, Н.И.Жинкин, Ю.Н.Караулов, Л.П.Клобукова, А.А.Леонтьева, А.Р.Лурия, В.А.Маслова, А.К.Михальская, Б.Ю.Норман, К.Ф.Седов, Л.И.Скворцова О.Б.Сиротинина, Н.И.Формановская Е.Н.Ширяев Л.В. Щерба, Дж.Гамперц, Х.Грайс, А.Меграбян, Х.Остер, Дж.Остин, Б.Рассел, М.Севилль-Труак, Дж.Сирл, М.Стаббс, Дж.Ферт, Д.Хаймс, Р.Экман и др.);
исследования в области педагогических технологий (В.П.Беспалько, В.В.Карпов, В.Я.Кикоть, М.В.Кларин, В.Н.Кругликов, В.В.Петрусинский, А.М.Пырский, Ю.В.Сенько и др.).
Замысел, логику и содержание авторской концепции составляют: возможности развития гуманитарной составляющей профессионального обучения будущих педагогов, описание системы гуманистических ценностей в современном образовании, определение сущности языковой личности педагога, выявление структуры исследуемого явления, разработка и обоснование системы развития языковой личности будущего учителя как носителя гуманистических ценностей.
Методы исследования. Выбор методов исследования обусловлен характером исследовательских задач. В основу стратегии исследования был положен системный подход и сравнительный способ анализа фактического материала. Основные методы исследования включали: системный и критический анализ философской, психологической, педагогической, методической и лингвистической литературы, концептуальное моделирование и педагогический эксперимент в его констатирующем и формирующем вариантах. Из системы эмпирических методов для решения частных задач исследования применялись следующие: опрос (анкетирование, интервью, беседа), тестирование, рейтинг, контент-анализ продуктов деятельности, прямое, косвенное, включенное наблюдение, анализ творческих работ студентов, открытых уроков учителей, материалов бесед, ауторейтинг. Для обработки и систематизации эмпирических данных применялись математико-
14 статистические методы, в том числе корреляционный и факторный анализ, с использованием пакета прикладных программ SPSS 10.0.5. Описание и интерпретация эмпирического материала осуществлялись с помощью структурно-генетического метода.
Обоснованность и достоверность полученных данных обеспечивалась организацией эксперимента в строгом соответствии с целями, задачами и условиями осуществляемого исследования; репрезентативной выборкой (всего на различных этапах исследования приняло участие 1800 человек); рациональным сочетанием теоретического и экспериментального исследований; применением комплекса методов, адекватного предмету и задачам исследования; корректным применением методов статистической обработки данных; практическим подтверждением выдвинутой гипотезы исследования при реализации экспериментальной программы.
Базой для проведения исследования стали Высший педагогический колледж №7 Санкт-Петербурга, Высший педагогический колледж г.Боровичи, курсы повышения квалификации ИПК ПРО г.Бокситогорска и г.Тихвина, средние образовательные школы Санкт-Петербурга (№248, 386, 393, 397, 501, 270, 322) и г.Тихвина (№1, 3), Санкт-Петербургский государственный морской технический университет, Ленинградский областной университет им А.С.Пушкина.
На защиту выносятся следующие положения:
Система гуманистических ценностей в современном образовании представляет собой трехкомпонентную структуру, слагающуюся из: а) универсальных, базовых гуманистических педагогических ценностей (антропоцентризм, самостоятельная и творческая роль человека, самопознание, развитие интеллекта, моральное воздействие знания, посильное развитие способностей, свободное поведение личности); б) ценностей педагогического общения (эмпатия, конгруэнтность, рефлексия, толерантность, активный подход, доброжелательность, эмоциональная стабильность); в) ценностей, определяющих педагогическую культуру (профессиональная увлеченность, нравственность, такт, ответственность).
Гуманизация педагогического образования посредством развития языковой личности будущего учителя, обучение его гармоничному речевому поведению для создания на уроке гуманистически ценного полилога, атмосферы взаимопонимания, сотрудничества, «взращивания человека»,
15 предоставления ему свободы для самовыражения является насущной необходимостью.
Концепция развития языковой личности будущего учителя в современном образовании представлена тремя ступенями: 1) развитием языкового чутья, 2) повышением уровня языкового образования, 3) гармонизацией, развитием языкового сознания, филологической культуры будущего учителя, свидетельствующими о присвоении гуманистических ценностей общения будущими учителями.
Теоретическая модель языковой личности педагога представляет собой систему, в которой выделены пять этапов развития грамотного профессионального речевого поведения, определяющих основу гуманистически ценностной диспозиции личности: коммуникативный потенциал личности (общительность), коммуникативная компетентность, профессиональная культура речи, коммуникативная культура, коммуникативное поведение.
Экспериментальная система гармонизации речевого поведения будущих педагогов основана на концепции развития языковой личности будущего учителя, третья ступень которой представляет собой педагогическую технологию развития языковой личности студентов — будущих учителей начальных классов.
Педагогическая технология развития языковой личности ориентирована на совершенствование речевой подготовки студентов, обучающихся в педагогическом колледже, и способствует развитию способностей и свойств языковой личности будущих учителей начальных классов, вследствие чего они могут осуществлять профессионально коммуникативную речевую деятельность, которая имеет гуманистическую направленность, предстающую в конкретных проявлениях: предметно-образной и предметно-понятийной речевой адаптации содержания образования; оказании эмоциональной поддержки воспитанникам, развитии у них мотивационно-ценностных установок; организации и управлении общением.
Научная новизна исследования заключается в том, что в нем структурирована система гуманистических ценностей в современном образовании, представляющая трехкомпонентную структуру, слагаемыми которой стали: 1) универсальные, базовые гуманистические педагогические
ценности; 2) ценности профессионального владения педагогическим общением; 3) ценности, составляющие педагогическую культуру
обоснована и экспериментально проверена профессионально ориентированная совокупность ценностей педагогического общения (эмпатия, конгруэнтность, рефлексия, толерантность, активный подход, доброжелательность, эмоциональная стабильность), являющаяся составной частью системы профессионально значимых гуманистических ценностей современного образования;
предложена концепция развития языковой личности будущего педагога начального образования, основывающаяся на использовании трех ступеней развития языковой личности: языкового чутья; языкового образования; языкового сознания и языкового самосознания — находящих свое воплощение в реализации ресурсов авторской модели совершенствования речевой подготовки будущих учителей.
разработана и обоснована концептуальная модель языковой личности учителя, работающего в парадигме современного образования.
показаны особенности развития профессионального самосознания учителя начальных классов;
определены (с использованием эмпирических данных, полученных на репрезентативной выборке) особенности речевого взаимодействия учителей начальных классов;
выявлена специфика коммуникативного поведения педагога (паралингвистических средств общения: имплицитной коммуникации и невербальных сигналов);
В научно-методическом плане новизну составляют:
обоснование исходных принципов и построение общей модели организации и проведения педагогического эксперимента, связанного с проверкой эффективности экспериментальной системы гармонизации речевого поведения будущих педагогов;
выявление структурно-содержательных этапов развития языковой личности будущего педагога, определяющих основу гуманистической ценностной диспозиции личности.
комплекс созданных или модифицированных научно-практических и
диагностических методов оценки уровней сформированное компонентов
языковой личности.
В эмпирическом плане новыми представляются установленные факты и закономерности, раскрывающие динамику развития языковой личности будущего учителя, которая способна обеспечить выход на уровень гуманитарных способов мышления и поведения.
Теоретическая значимость исследования.
Результаты исследования позволят осуществить более широкий подход к решению проблем гуманизации образования.
Обоснование необходимости развития гуманитарной составляющей профессионального обучения будущих педагогов, выявление системы гуманистических ценностей в современном образовании, определение сущности языковой личности педагога составят основу более широких теоретических представлений о профессиональной подготовке учителей.
Исследование может быть квалифицировано как решение крупной научной проблемы, связанной с созданием целостной системы развития языковой личности будущих педагогов.
Предлагаемая в диссертации общая концепция развития системы гуманистических педагогических ценностей средствами гармонизации языковой личности будущих педагогов, формирования у них направленности на гуманистические ценности педагогического общения, ценности профессиональной и личной самореализации и производные ее аспекты в значительной степени способствуют развитию и обогащению педагогической и психологической теории, а также теории управления.
Результаты исследования вносят существенный вклад в развитие общей и частной дидактики, способствуют определению стратегии их развития: позволяют рассматривать дидактические условия как фактор, определяющий успешность процесса развития гуманистических качеств личности.
В работе теоретически обоснованы пути и способы развития языковой личности будущего педагога средствами дидактики, вытекающие из взгляда на обучение как общение, что дает возможность использовать
''18'' коммуникативную природу учебного процесса для целей активизации личностного потенциала будущих учителей. Проведенное исследование вносит заметный вклад и в развитие категориального аппарата педагогической науки: определены понятия «система гуманистических педагогических ценностей», «языковая личность педагога», «система развития языковой личности будущего учителя», уточнено понятие «гармонизация речевого поведения педагога», выделены отличительные признаки понятий «профессиональное самосознание учителя», «речевое взаимодействие педагогов», «коммуникативное поведение педагога».
Практическая значимость работы определяется вкладом в процесс
подготовки будущих учителей к профессиональной деятельности,
способствующим гуманизации и гуманитаризации педагогического
образования и содействующим подготовке востребованных
конкурентоспособных специалистов.
Так, предложенная концепция развития языковой личности учителя начальных классов может быть модифицирована в разных частях или полном объеме при профессиональной подготовке педагогов любого профиля. Авторская педагогическая технология развития языковой личности будущего учителя может быть использована на курсах повышения квалификации преподавателей, студентами - будущими педагогами при проведении педагогической практики в образовательных учреждениях, учителями начальной и средней школы при обучении школьников.
Самостоятельную ценность имеет созданный научно-практический инструментарий, позволяющий проводить как диагностику уровней развития языковой личности преподавателей, так и индивидуальную оценку развития языковой личности будущих учителей. Результаты, полученные в ходе исследования, могут быть использованы для оптимизации речевого поведения студентов и учащихся школ, учителей в системе профессиональной переподготовки. Кроме того, критерии сценки речи говорящего и схема оценки речевого поведения учителя могут применяться администрацией учебных заведений различного типа при проведении аттестации педагогов.
Апробация результатов исследования. Материалы и результаты исследования отражены в публикациях автора (общий объем более 48 печатных листов), представленных в виде тезисов докладов на научных
19 конференциях, статей, двух методических и четырех учебных пособиях, двух монографиях: «Гуманистические ценности в образовании и развитие языковой личности педагога» (2001) и «Проблемы становления системы гуманистических ценностей в современном образовании» (2002). Содержание и основные результаты исследования докладывались на международных и межрегиональных научных конференциях и симпозиумах в Санкт-Петербурге (1995, 1997, 1998, 1999,2000, 2001, 2002 г.г.), г.Иркутске (1998 г.); г. Бокситогорске (2002 г.), г. Мурманске (2002 г.) и ряде других.
Основные результаты исследования были представлены и обсуждены на заседаниях научно-методических советов Высшего педагогического колледжа №7 С-Петербурга, Высшего педагогического колледжа г.Боровичи, заседаниях кафедр гуманитарного образования факультета естественнонаучного и гуманитарного образования СПбГМТУ, педагогики детства и современных образовательных технологий факультета психологии и педагогики ЛГОУ им. А.С.Пушкина, педагогики и педагогической психологии факультета психологии СПбГУ.
Внедрение результатов исследования. Материалы исследования положены в основу учебных курсов «Культура речи», «Риторика для педагогов», «Методика обучения русскому языку», «Русский язык и культура речи», читающихся студентам Высшего педагогического колледжа №7; Санкт-Петербургского государственного морского технического университета; спецкурса «Культура речи и эффективное речевое общение», читаемого студентам факультета психологии и педагогики Ленинградского государственного областного университета им. А.С.Пушкина; спецкурса «Эффективное речевое взаимодействие» читаемого на курсах повышения квалификации педагогов и руководителей учреждений образования Ленинградской области.
Объем и структура работы. Диссертация состоит из введения, шести глав, заключения, списка литературы, включающего 817 наименований, и приложений. Материал изложен на 493 страницах, содержит 56 таблиц к 58 рисунков.
# Психолингвистический и лингвокогнитивный анализ языковой личности (на примере публицистического дискурса В.П. Астафьева) 04.02.2016 Нестерова Ольга Александровна +
#Сравнительно-сопоставительное изучение лингвокультурного типажа как аспекта языковой личности (на примере лингвокультурного типажа "друг" в англо- и испаноязычных художественных произведениях) 03.03.2016 Глушкова Надежда Маматкуловна +
#Коммуникативное поведение языковой личности виртуального врача в медицинском интернет-форуме 15.04.2016 Гагарина Елена Юрьевна +
#Идиостиль информационно-медийной языковой личности: коммуникативно-когнитивные аспекты исследования 08.06.2016 Болотнов Алексей Владимирович +
# Фразеологизмы в поэзии В.С. Высоцкого как фактор формирования языковой личности 27.06.2016 Митина Анна Анатольевна +
# Реализация стратегии самоидентификации языковой личности в дневниковом дискурсе 27.09.2016 Леонова Елена Владимировна +?
#Языковая личность адвоката в контексте юридического дискурса (на материале речей С.А. Андриевского и Н.П. Карабчевского) 21.12.2016 Климович Оксана Владимировна +
# 22.02.2017 Соломина Елизавета Владимировна Языковая личность носителя городского просторечия +
# 17.03.2017 Ишегулова Алсыу Минифариевна Языковая личность писателя Яныбая Хамматова (на материале художественных текстов) +
# 11.05.2017 Кузьмина Варвара Михайловна КОЛЛЕКТИВНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ АВТОРА ИНТЕРНЕТ-КОММЕНТАРИЯ НА САЙТЕ ГЛЯНЦЕВОГО ЖУРНАЛА (ГЕНДЕРНЫЙ АСПЕКТ) +
# Языковая личность жительницы Русского Севера: опыт вербально-семантического, лингвокогнитивного и прагматического описания. 31.05.2017 Зубова Нина Николаевна
# 5 01.06.2017 Куган Екатерина Ивановна Перцептивные концепты и языковая личность в художественном дискурсе (на материале произведений Б. Пастернака и М. Пруста)
# 1 24.03.2017 Канукоева Амина Ладиновна Особенности репрезентации языковой личности в мультипликационном пространстве (на материале мультсериалов «Винкс» и «Бен 10: Инопланетная сверхсила»)
# 2 16.06.2017 Пахаренко Сабина Витальевна Статусные и структурно-семантические характеристики языковой личности как этнолингвотипа в эпоху глобализации
# 3 06.10.2017 Сахарова Анна Владимировна Формирование языковой личности: социально-философский аспект
# 4 20.12.2017 Астафьева Екатерина Анатольевна Идиолектный антропонимикон как источник изучения языковой личности диалектоносителя
# 22.02.2018 Пугоева Ася Османовна Особенности объективации когнитивного стиля языковой личности в институциональном и персональном типах дискурса
# 13.03.2018 Агаджанян Артём Арайикович Русскоязычные аспекты переводческой деятельности К.И. Чуковского как языковой личности
# 17.05.2018 Шилова Елена Сергеевна Речевые стратегии и тактики языковой личности в социальных сетях
# 21.09.2018 [[Дубинина]] Наталья Валентиновна Трансформация вторичной языковой личности студента-арабиста в академическом арабоязычном дискурсе 10.02.19 - Теория языка
# 11.10.2018 Фирсова Мария Анатольевна Когнитивно-дискурсивные параметры языковой агрессии в речи публичной языковой личности
# 01.11.2018 Носова Елена Павловна Прецедентные феномены, мотивированные детским чтением, в структуре языковой личности
# 21.11.2018 Хуранова Лана Ахмедовна Модель языковой личности представителя молодёжных субкультур 8 05.12.2018 Иванова Людмила Андреевна Время в картине мира диалектной языковой личности
# 21.12.2018 Лаппо Марина Александровна Самоидентификационный дискурс русской элитарной языковой личности
# 20.12.2018 Михеев Алексей Анатольевич Языковая личность А.С. Пушкина: интертекстуальность и прецедентность в дискурсах разных типов
# 16.05.2018 Воробьева Ольга Юрьевна Концептуализация языковой личностью природных явлений (на материале английского, немецкого и русского героического эпоса)
# 25.02.2019 Загуменнов Александр Владимирович Русская языковая личность первой половины XVII века в аспектах трансляции, коммуникации и интерпретации (на материале разножанровых текстов эпохи)
# 23.04.2019 Мануэльян Анна Григорьевна Языковая личность Редьярда Киплинга: лингвопрагматические и социокультурные характеристики
# 20.12.2019 Мона Елизавета Александровна Языковая личность террориста (исследование на материале видеообращений членов международной террористической организации Исламское государство, запрещенной на территории Российской Федерации)
# 19.04.2019 Хачак Фатима Долетчериевна Этноспецифические вкрапления как средство реализации полилингвальной языковой личности (на материале публицистических текстов Рамазана Трахо)
# 24.04.2019 Цуциева Мария Геннадьевна Актуализация языковой личности политика в современном немецком политическом дискурсе
# 18.06.2019 Махмуд Хемин Тахир Махмуд Персонологические характеристики языковой личности В.Г. Короленко-публициста
# 02.07.2019 [[Гафиятова]] Эльзара Василовна Профессиональный язык как средство моделирования языковой личности (на материале русского и английского вариантов профессионального языка лесного хозяйства) 10.02.20
# 22.10.2019 Бальян Ашхен Мурадовна Репрезентация особенностей языковой личности персонажа-ребенка в авторском художественном тексте (на материале произведений Льюиса Кэрролла)
# 14.11.2019 Кумук Светлана Хамзетовна Паремическая концептуализация языковой картины мира адыгов в художественных текстах билингвальной языковой личности
# 14.11.2019 Патиева Макка Муратовна Лингвокогнитивные особенности реализации вторичной языковой личности писателя-билингва
*Гафиятова ПРОФЕССИОНАЛЬНЫЙ ЯЗЫК КАК СРЕДСТВО МОДЕЛИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ
**[ext[ссылка диссертация|https://shelly.kpfu.ru/e-ksu/docs/DISSERTATION/F1921604908/Gafiyatova_10.02.20.pdf]]
**[ext[ссылка автореферат|https://shelly.kpfu.ru/e-ksu/docs/DISSERTATION/F_706256227/GafiyatovaEV_avtoreferat.pdf]]
*[ext[ссылка Пи Цзянькунь - понятие «языковая картина мира»|https://disser.spbu.ru/disser2/disser/pi_dissert.pdf]]
*[[Ретроспективный анализ как метод прогностических исследований в педагогике]]
*Горина О. Г. [[Использование технологий корпусной лингвистики для развития лексических навыков студентов - регионоведов в профессионально - ориентированном общении на английском языке]]
«ФОРМИРОВАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ: СОЦИАЛЬНО-ФИЛОСОФСКИЙ АСПЕКТ ...»
-- [ Страница 1 ] --
МИНОБРНАУКИ РОССИЙСКОЙ ФЕДЕРАЦИИ
ФГБОУ ВПО ИВАНОВСКИЙ ГОСУДАРСТВЕННЫЙ ПОЛИТЕХНИЧЕСКИЙ УНИВЕРСИТЕТ
На правах рукописи
САХАРОВА АННА ВЛАДИМИРОВНА
ФОРМИРОВАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ: СОЦИАЛЬНО-ФИЛОСОФСКИЙ АСПЕКТ
Специальность: 09.00.11 – социальная философия
Диссертация на соискание ученой степени
кандидата философских наук
Научный руководитель,
доктор политических наук, профессор
Воронов Юрий Михайлович
ИВАНОВО –2017
ОГЛАВЛЕНИЕ
ВВЕДЕНИЕ………………………………………………………………………3
ГЛАВА I. ЯЗЫКОВАЯ ЛИЧНОСТЬ КАК МЕЖДИСЦИПЛИНАРНАЯ КАТЕГОРИЯ: ТЕОРЕТИКО-МЕТОДОЛОГИЧЕСКИЙ АНАЛИЗ………………………………………………………………………...26
1.1 Категориальный анализ концепта «языковая личность»…………………26
1.2. Модели языковой личности:
от лингвистики к социальной философии……………………………………..35
1.3 Человек как носитель языка: опыт концептуализации в современном социально-гуманитарном знании………………………………………………48
Выводы к главе I………………………………………………………………70
ГЛАВА II. ЯЗЫКОВАЯ ЛИЧНОСТЬ В ПРОСТРАНСТВЕ СОЦИАЛЬНО-КОММУНИКАТИВНОЙ РЕАЛЬНОСТИ………………72
2.1 Социально-онтологические основания становления
языковой личности………………………………………………………………72
2.2 Языковая личность как субъект социальной коммуникации ……………97
2.3 Особенности формирования ценностной сферы языковой личности в процессе социализации………………………………………………………..122
Выводы к главе II…………………………………………………………....151
ЗАКЛЮЧЕНИЕ……………………………………………………………….153
БИБЛИОГРФИЧЕСКИЙ СПИСОК ………………………………………157
ВВЕДЕНИЕ
Актуальность темы исследования.
В современном обществе коммуникативные процессы являются значимыми факторами социальных изменений. Все более заметной становится роль языка, стимулирующего, программирующего происходящее в социуме. Разнообразные способы языкового освоения действительности опосредуют и организуют социальные взаимодействия на всех уровнях их осуществления. Интерес к языку как неотъемлемому условию протекания социальных процессов традиционен для социально-гуманитарного знания второй половины XX – начала XXI вв. Однако бурное развитие коммуникативной реальности, специфическими чертами которой являются диалогичность, перерастающая в полифоничность, мультикультурность, сдвиг коммуникативных кодов в сторону невербальных, дискретность и мозаичность Интернет-пространства, существенно преображает социальную коммуникацию, порождает новый круг проблем и, соответственно, задает иные исследовательские ракурсы.
Следствием подобных перемен в социуме стала проблематизация самого непосредственного участника социальной коммуникации – языковой личности (далее – ЯЛ). С одной стороны, наблюдается возрастание свободы выбора сценариев языкового поведения (за счет увеличения способов коммуникации и расширения коммуникативного пространства), увеличение возможностей языковой самопрезентации (например, в виртуальной реальности социальных сетей) и самореализации ЯЛ в процессе коллективного порождения коммуникативной реальности. С другой стороны, нарастание агрессивности коммуникативной среды, неопределенности исходов коммуникативных актов (например, сетевая коммуникация в Интернете изначально построена как интеракция с открытым финалом) делает статус ЯЛ неустойчивым и нередко непредсказуемым.
Кроме того, наивный эгоцентризм творцов индивидуальных дискурсов, усиливаемый уже упомянутыми возросшими техническими возможностями средств массовой коммуникации, нередко вводит их в заблуждение относительно самостоятельности и независимости от социума, влияние которого на ЯЛ становится все более мощным.
Диапазон подходов к решению этой проблемы достаточно широк и включает в себя различные парадигмы: от диктатуры сознания и языка до диктатуры дискурса или перфоманса, от признания носителя языка в качестве целостного и равноправного участника социальной коммуникации до констатации его неполноты, частичности или полного исчезновения под давлением наступающей коммуникативной реальности.
Свой вклад в исследование природы языковой коммуникации на уровне взаимодействия Я как носителя языка (сознания) и Другого Я, субъекта и языкового сообщества в целом внесли представители философии сознания и языка (феноменология, аналитическая и лингвистическая философия), структурализма (К. Леви-Стросс, Р. Барт, Р. Якобсон), поструктурализма (М. Фуко, Ю. Кристева), психоанализа (Ж. Лакан). Констатируя подобное разнообразие, следует учитывать также и то обстоятельство, что все они были порождением различных объективных условий и, следовательно, концептуально фиксировали не только методологические предпочтения своих творцов, но и определенные социальные доминанты.
Современная эпоха предъявляет серьезные вызовы человеку как субъекту социально-коммуникативной реальности. Одной из наиболее актуальных проблем в этой связи является сохранение и воспроизведение форм социальности, способствующих поддержанию конструктивного коммуникативного взаимодействия между членами общества. Соответственно, особенно востребованной становится задача формирования субъекта языковой деятельности как целостной, самостоятельной, ценностно наполненной ЯЛ, способной к активному творческому освоению языка и разносторонне реализующейся в различных дискурсивных практиках.
Выход данной проблемы за рамки лингвистического поля исследований на уровень метатеории неизбежно подводит к необходимости изучения феномена ЯЛ в более широкой, социально-философской, перспективе. В рамках данного исследования специфика социально-философского подхода предполагает рассмотрение формирования ЯЛ в следующих аспектах: 1) социально-онтологическом, т.е. через поиск и выявление оснований и пределов языковой индивидуальности ЯЛ в социально-языковом пространстве; 2) праксиологическом, т.е. через анализ диалектических противоречий языковой деятельности ЯЛ, воплощенной в различных речевых практиках; 3) аксиологическом, т.е. с точки зрения закономерностей становления ценностной иерархии, определяющей целостность и устойчивость ЯЛ.
Степень научной разработанности проблемы.
Вектор исследований ЯЛ задавался в рамках лингвистики и пограничных отраслей знания (семиотика, философия языка) где складывались и отрабатывались основные научные парадигмы, концентрировавшиеся вокруг триады язык-человек-общество. Центр внимания переходил от эгоцентрически мыслящего коммуниканта, который вносит в высказывание личностное измерение (прагмалингвистика Ч. Пирса), к самому высказыванию и, соответственно, отходу на второй план личности его создателя и далее – к процессу коммуникации, диалогу, в ходе которого материализуется дискурс.
Поскольку введение концепта «языковая личность» равно как и всестороннее изучение самого этого феномена принадлежат сфере языкознания, то логично прежде всего обратиться обобщению достижений этой науки, релевантных теме диссертации. Современное поле исследований, посвященных ЯЛ, расширяется за счет комплекса лингвистических наук, каждая из которых вносит свой вклад в изучение различных аспектов рассматриваемого феномена.
Так, лингвокультурология, возникшая на стыке лингвистики, культурологи, философии, семиотики, литературоведения, психологии, сосредоточена на изучении триединства язык – культура – языковая личность (В.И. Карасик, Ю.С. Степанов, В.В. Красных, О.Л. Каменская, В.И. Тхорик и др.). Ценные теоретические и эмпирические сведения относительно разнообразия типов ЯЛ дает лингвоперсонология. В работах Е.Н. Ивановой, Е.И. Базалук, Н.С. Котовой, С.В. Оленёва и других авторов не только предлагаются различные варианты моделей языковой личности, но и осуществляется анализ их содержательного наполнения на основе изучения конкретных ЯЛ. В сфере интересов лингвопрагматики – «живой язык в действии, во всем многообразии его функций и социально-функциональных вариантов». В работах И.П. Сусова, В.В. Богданова, Н.Д. Арутюновой, Ю.Д. Апресяна, В.Г. Гака процесс речевой коммуникации рассматривается с позиций антропоцентризма и даже, как подчеркивает И.П. Сусов, эгоцентризма, то есть «не абстрактного идеального говорящего, а конкретного, реального носителя языка в процессе речевой деятельности».
Большое значение для решения поставленных в диссертации задач имеют труды по социолингвистике (У. Лабов, Р.Т. Белл, А.Д. Швейцер, Н.Б. Мечковская, Л.П. Крысин), предметом которой является язык в его конкретном социальном контексте. При этом учитываются все факторы, способные влиять на использование языка, — от различных характеристик самих говорящих (их возраста, пола, уровня образования и культуры, вида профессии и т. п.) до особенностей конкретного речевого акта.
Лингвистика, став первой интеллектуальной лабораторией для исследования феномена ЯЛ, не только обозначила границы самого предмета, но и наметила перспективы его дальнейшего изучения, выявив важные точки роста его познания. Активная экспансия лингвистики в сферы смежных дисциплин стала весьма продуктивным процессом, способствующим построению интегративной концепции ЯЛ. К настоящему времени ЯЛ как трансдисциплинарное понятие номинирует явление, находящееся в фокусе внимания целого спектра научных направлений: психологии, культурологии, педагогики, социологии, философии. Поскольку массив социально-гуманитарных исследований, связанных с темой диссертации, весьма обширен, целесообразно разделить его на несколько групп в соответствии с ключевыми проблемами, решаемыми в данной работе.
Во-первых, это интерпретация самого концепта «языковая личность». Антропоцентрическая и личностно-ориентированная парадигмы развития филологии, лингвистики, философии, социологии и других наук обусловили ввод понятия «языковая личность» в научный дискурс. Классической концепцией ЯЛ в отечественной лингвистике и филологии по праву признатся модель Ю.Н. Караулова. Существуют и структурные модели ЯЛ, предложенные другими авторами (Г.И. Богин, В.И.Карасик, К.Ф. Седов).
Расширение сферы применения концепта ЯЛ неизбежно ведет к необходимости уточнения смысловых границ этого базового понятия и возможностей его дополнения близкими по смыслу категориями (дискурсивная личность, речевая личность, коммуникативная личность), что порождает дискуссии об их соотношении. Авторы различных версий исходят из того, что: 1) понятие языковая личность шире понятия коммуникативная личность (С. Г. Воркачев, В. В. Соколова, С. С. Галстян), 2) понятия языковая личность и коммуникативная личность не разграничиваются (В.И. Карасик); 3) понятие коммуникативная личность шире понятия языковая личность (В.П. Конецкая); 4) утрачена эвристическая значимость концепта ЯЛ и, следовательно, необходимо заменить его понятием «дискурсивная личность» как более полно учитывающим широкий диапазон факторов (ментальные, психологические, прагматические и другие) и, следовательно, различных видов компетенций, позволяющих личности функционировать в сложном социально-культурном контексте (А.Г.Баранов, Л.Н. Синельников).
В отличие от лингвистических дисциплин, в которых прослеживается тенденция к диффузии понятия ЯЛ, обусловленная переориентацией лингвистики с языка как системы на личность носителя языка, разнообразно проявляющую себя в дискурсивных практиках, в философских исследованиях (Э.Ю. Паниткова, Г.С. Шашлова) признается эвристический потенциал и интегративный характер этой категории.
Второй круг вопросов группируется вокруг проблемы ЯЛ как участника социальной коммуникации через призму осмысления источников и пределов субъектности носителя языка. В фокусе исследований по социальной коммуникации оказываются такие аспекты, как различные модели реализации коммуникативных практик, роль таких технологий, как имиджи, симулякры, «маски» в конструировании современной коммуникативной среды (Ж. Бодрийяр, Ж. Делез, Ж. Деррида, Р. Барт ), значение медиареальности как фактора, определившего фундаментальные изменения в сфере социальной коммуникации (Е.И. Кузнецова).
Активно изучаются такие аспекты языковой коммуникации, как феномен проективности, выражающий целостность и автономность субъекта и целерационального способа мышления, когда результаты действия (социального, культурного, ментального) могут быть заранее предопределены, спрогнозированы или хотя бы предвидены (М.Ю. Гафурова); язык как инструмент конструирования социальной реальности (Т.Г. Данилова, М.В. Смагина); реализация субъекта как носителя языка в условиях современной социальной коммуникации (З.С. Завьялова, Е.А. Сайкин, А.Н. Фортунатов), двуязычия (О.А Колыхалова., Г.С. Шашлова, О.С. Хряпченкова, F. Grosjean и др.).
Все большее внимание концентрируется вокруг анализа концептов, отражающих сложный, многогранный характер дискурсивной деятельности носителя языка (перформативность, языковая игра) Как показывается в работах А.А. Романова, Л.А. Романовой, И.В. Четыркиной, А.В. Карабыкова, эвристический потенциал концепта «перформативность» выходит за пределы лингвистики и приобретает междисциплинарный характер. Вопрос о перформативности социальных действий, как и вопрос о перформативной заданности общественно создаваемых символов и знаний, приобретает практический характер как руководство к реализации различных общественных практик.
Весьма плодотворным оказывается вовлечение в исследовательский процесс в качестве познавательного инструмента концепта «языковая игра». Введенный в научный оборот Л. Витгенштейном в «Философских исследованиях», в дальнейшем он получил разностороннее осмысление в различных сферах социально-гуманитарного знания: 1) в лингвистике - с точки зрения изучения механизмов лингвокреативного потенциала ЯЛ (Т.А. Гридина, Н.Д. Арутюнова), реализации ценностного отношения адресанта, провоцирующего оценочное восприятие адресата на основе эстетического подхода к выбору языковых средств (Качалова И.Н.), 2) в культурологии – например, в постмодернистской идее Ж.Ф. Лиотара о включении читателя в процесс создания текста как сотворчества с автором, 3) в философии – в плане анализа языковых игр как повседневной коммуникативной практики и инструмента моделирования коммуникативного пространства, с точки зрения проблемы следования правилу.
Поскольку осмысление природы ЯЛ основывается на понимании сущности личности вообще, то в круг изучаемых теоретических источников были включены исследования, посвященные этой проблематике и включающие такие аспекты, как: 1) соотношение родовой и индивидуальной сущности человека, существования как диалектика жизненного и духовного начала (К.Л. Ерофеева); 2) социально-философские аспекты процессов субъективации (А.Е. Смирнов, Д.Г. Михайличенко); 3) язык как одна из фундаментальных констант со-бытия человека и мира (В.А. Кутырёв).
Третьим важным аспектом изучения ЯЛ с точки зрения ее становления и развития является проблема социальной природы языка. В лингвистике язык традиционно рассматривался через взаимосвязь с мышлением, а также соотношение языка и речевого (дискурсивного) акта. В антропоцентричной лингвистике (В. фон Гумбольдт, А.А. Потебня) раскрывается связь «языка и духа», показывается, что сам язык не есть готовый инструмент и нечто созданное (ergon), он – деятельность (energeia) духа. Ф.де Соссюр, вполне обоснованно различая на онтологическом уровне смысловой и операциональный аспекты языковой деятельности, высказывал идею о социальности (обобщенности) языка и психологизме (индивидуальности и единичности) речи. В теории лингвистической относительности (Э.Сепир, Б.Л.Уорф) предпринимается попытка обосновать детерминированность действий человека характером языка. Деятельностная характеристика языка в таком контексте относится не только к самому языку, но к его носителю – субъекту языковой деятельности.
В философии различные подходы к проблеме социальности языка, хотя и не всегда в отчетливо эксплицированном виде, представлены в:
1) феноменологии, где язык в качестве одной из данностей «жизненного мира» (в терминологии А. Шюца) трактуется как способ типизирующего упорядочения индивидуального и коллективного опыта, как феномен речевой интерсубъективности, то есть повседневной феноменально структурированной коммуникации (Э. Гуссерль, А. Щюц);
2) философии диалогического направления (М.М. Бахтин, Э. Левинас, М. Бубер), осуществляющей осмысление роли языка через призму объективной заданности диалога, в процессе которого возникает понимание как результат обсуждения многозначности и прихода к общему значению слова; именно в недрах диалогизма были выработаны понятия «ответность» и «ответственность», ориентирующие на герменевтическое, контекстуальное исследование социально значимых высказываний любого уровня и масштаба;
3) теории речевых актов (представители аналитической философии Дж. Остин, Дж. Сёрль, П. Грайс, П. Стросон), где сущность речи связывается не столько с сообщением чего-либо или же пониманием между Я и Другими, сколько с раскрытием принципов взаимодействия между Я (которое предстает в разных образах «жизненных миров») и системными, прежде всего социальными, установлениями, которым подчинена жизнь человека; в теории коммуникативного действия;
4) социально-коммуникативной философии, в рамках которой осуществляется исследование связи форм сознания и его конструктивной деятельности с формами языковых коммуникаций, а также выявление всеобщего значения конституирующей способности языка (К.-О. Апель), предлагается новая трактовка диалогической коммуникации, понимаемой не просто как обмен точками зрения или идеями, а как особая форма взаимодействия – диалогическое взаимодействие, преследующее определенные цели (Ю. Хабермас).
Отдельно отметим активное изучение онтолого-гносеологической проблематики языка в отечественной философской традиции. В работах Н.И. Бересневой, С.А. Песиной, Е.Г. Азнабаевой, Б.Д. Нуриева рассматривается такие проблемы, как соотношение языка и реальности, сущность и механизмы формирования, функционирования слова и концепта в коммуникативной деятельности, соотношение языковой реальности и языковой деятельности.
Особо следует выделить исследования по философии языка, проводимые представителями философской школы Ивановского государственного университета – основателем этого направления профессором А.
Н. Портновым и его учениками и последователями. В работах А.Н. Портнова рассматривается взаимоотношения языка и сознания, дается анализ философско-методологических оснований развития этой проблемы, выявляются основные исследовательские стратегии ее изучения. Важный теоретический материал, релевантный теме диссертации исследования, содержится в исследованиях Т.Б. Кудряшовой, Л.Д. Петрякова, И.В. Куликовой, А.А. Обрезкова.
Обширный корпус исследований, посвящен дискурсу. Следствием популярности этого понятия, активно применяемого как в теоретических трудах, так и в практической сфере (например, в политических, масс-медийных и деловых кругах), стала его полисемантичность. Им обозначаются весьма разноплановые ментальные и практические модусы социумной жизни. Осмысление дискурса как сложного коммуникативно-деятельностного феномена осуществляется на основе различных подходов: лингвистического, в рамках которого дискурс трактуется прежде всего с точки зрения соотношения с понятиями «текст» и «речь» (Э. Бенвенист, К. Леви-Стросс, М. Пешо, П. Серио, В.И. Карасик, К.Ф. Седов), кратологического с акцентом на роль дискурса как мощного властного ресурса (М. Фуко, Т. ван Дейк), семиотического, трактующего дискурс как знаковую систему, включающую как вербальную и невербальную подсистемы (Р. Барт, Ж. Бодрийяр),социально-конструкционистского, отождествляющего дискурс с практикой социального конструирования (Ж. Деррида, Э. Лакло, Ш. Муфф, М.А. Полищук), социально-коммуникативного, в основе которого лежит представление о дискурсе как о диалоге, в процессе которого происходит согласование спорных притязаний на значимость с целью достижения согласия (К.-О. Апель, Ю. Хабермас, Н.А. Николаева, М.Ю. Олешков).
Четвертый комплекс проблем связан с изучением ценностных аспектов становления личности носителя языка. Вызовы общества эпохи постмодерна с его постоянными трансформационными процессами, ситуациями риска, неопределенности делают неизменно актуальными вопросы, связанные с формированием способности индивидов к идентификации, сохранению духовной целостности личности, и, соответственно, роли лингвистических ценностей в процессе социализации. В связи с этим большое внимание уделяется проблемам аксиологии языковой деятельности. Осмысленный в рамках психолингвистики обширный языковой материал позволил выявить, в частности, тот факт, что именно ценности выполняют роль регулятора речевого поведения коммуникантов, являются одним из аспектов апперцепции говорящего в диалоге, а также являются проводниками воздействия одного коммуниканта на другого. В основу анализа ценностной регуляции речевого поведения коммуникантов положены идеи прагматически ориентированного изучения семантики высказываний (Г.П. Грайс, Дж. Остин, Дж. Серль, П.Ф. Стросон), деятельностные теории рассмотрения языковых явлений отечественной психолингвистики (Л.С. Выготский, А.Н. Леонтьев, А.Р. Лурия, С.Л. Рубинштейн), идеи об интерактивном характере вербального взаимодействия и структурном характере речевого общения (Ю.Н. Караулов, А.А. Леонтьев, Е.В. Сидоров, И.П. Сусов, Е.Ф. Тарасов).
Изучение формирования ценностной сферы ЯЛ основывается на социологических, социально-философских трудах, посвященных разработке теории ценностей и концепции интериоризации ценностей. В исследованиях Н.Н. Казыдуб, Е.Ф. Серебренниковой, Р. Ладо, А.А. Поляковой, А.Ю. Огородникова обосновываются подходы к комплексному изучению аксиологической сферы ЯЛ. В контексте решаемых задач интерес представляет анализ эстетических (Р.О. Якобсон, С.Н Должикова), этических (Б. Хюбнер, В.Ю. Перов, В.В. Бабошин) экзистенциальных ценностей (Н.С. Мудрагей, Е.М. Полуяхтова) в сфере языковой коммуникации. Особое внимание уделяется таким коммуникативным ценностям, как ответственность доверие, толерантность.
Природа норм, тенденции эволюции нормы исследуется в: 1) лингвистике в зависимости от функций языка и способов их легитимации (Л.П. Крысин, Г.Г. Хазагеров), 2) социологии с точки зрения ее вариабельности в зависимости от природы социального контроля (Ф. Перну, П. Бурдьё).
Таким образом, исследовательский интерес к ЯЛ как интегративному понятию, отражающему сложный, многосторонний феномен, весьма значителен и отчетливо выражен в различных сферах социально-гуманитарного знания. Вместе с тем, следует отметить, что отсутствуют обобщающие труды, сфокусированные на социально-философском анализе становления ЯЛ как субъекта языковой деятельности, как соавтора перманентного процесса порождения дискурса.
Объект исследования – языковая личность как сложная система, включающая в себя два базовых уровня: уровень индивида - носителя языка и уровень собственно личности, то есть субъекта социальной коммуникации в пространстве социально-языковой реальности.
Предмет исследования – процесс формирования и развития субъектности языковой личности.
Цель исследования – на основе социально-философского анализа выявить и описать механизмы формирования субъектности языковой личности в процессе освоения языка как модели социальных отношений.
Достижение указанной цели предполагает решение следующих задач исследования:
- уточнить содержание концепта «языковая личность» в контексте социально-философского подхода к изучению феномена ЯЛ;
- выявить и проанализировать эпистемологический потенциал наиболее распространенных моделей языковой личности в современном социально-гуманитарном знании;
- выработать на основе сложившихся представлений о языковой личности и с учетом специфики социально-философского подхода модель языковой личности, отражающую наиболее значимые аспекты формирования субъектности носителя языка;
- рассмотреть основные парадигмы изучения ЯЛ, сложившиеся в современном социально-гуманитарном знании, и выявить их методологическое значение для социально-философской концептуализации механизмов формирования ЯЛ;
- эксплицировать социально-онтологические основания социально-коммуникативного взаимодействия языковой личности и языкового сообщества;
- раскрыть диалектические противоречия, определяющие формирование субъектности ЯЛ как участника социального дискурса;
- осуществить социально-философский анализ тенденций и закономерностей формирования системы ценностей ЯЛ.
Гипотеза исследования. Формирование ЯЛ как сложной многоуровневой социально-культурной системы можно рассматривать через становление и развитие субъектности носителя языка, включенного в процесс порождения дискурса в пределах определенного социально-коммуникативного пространства.
Теоретико-методологическая основа исследования. В связи с тем, что проблемное поле исследования находится в сфере пересечения лингвистического, социологического, философского и социально-философского знания, теоретико-методологический аппарат работы включает ряд теоретических принципов и подходов, концептуализированных в рамках различных социально-гуманитарным наук. К ним относятся:
- концепции ЯЛ (В.В. Виноградов, Г.И. Богин, Ю.Н. Караулова, В.И. Карасик и другие), реализующие антропоцентрическую ориентацию гуманитарного знания и предлагающие различные подходы к моделированию ЯЛ: с точки зрения иерархической многоуровневой градации, социально-культурной и психологической типизации.
- теории речевой деятельности, охватывающие широкий спектр исследований по онтологии речи: теория речевых актов (Д. Остин, Д. Сёрль), деятельностная концепция языка в отечественной психологии и психолингвистике (А.А. Леонтьев, Л.С. Выготский, А. Р. Лурия и др.), теории, теории дискурса и коммуникации (М. Л. Макаров, И. А. Мальковская, В. Б. Кашкин и др.);
- концепции социального конструирования, включающие экзистенциальную диалектику человеческого «бытия-в-мире» (Ж.-П. Сартр), социальную феноменологию (А. Шюц), концепцию симулякров (Ж. Бодрийяр), дискурсный анализ (М. Фуко) и теорию структурации и социальных практик (Э. Гидденс, П. Бурдьё);
- различные варианты теории социального действия: 1) концепция социального действия как фундаментальной категории социологии (М. Вебер), интерпретируемого либо с позиций рациональности (целе-рациональное, ценностно-рациональное), либо с позиции эмоционально -художественной рецептивности (аффективное, традиционное); 2) теория коммуникативного действия как регулятора взаимоотношений между субъектами действия (Ю. Хабермас), ознаменовавшая переход от когнитивно-инструментальной к коммуникативной рациональности и выявившая особый статус языка как инструмента достижения цели; 3) теория креативноого действия (Х. Йоас), основывающаяся на идее значимости интенционального характера человеческого действия, непрерывности творческого характера действия субъекта.
Методы исследования. Выбор методов исследования определяется особенностями предмета диссертационной работы. Изучение формирования ЯЛ как сложного социокультурного феномена предполагает использование комплекса методов, обеспечивающих разносторонность социально-философского анализа этого процесса. При написании диссертации использовались: междисциплинарный подход, предполагающий рассмотрение процесса формирования ЯЛ на основе синтеза лингвистических, общефилософских, социально-философских концепций; диалектический метод, позволивший при анализе теоретического и эмпирического материала использовать принципы развития, объективности, взаимосвязи, детерминации, полярности; метод логической реконструкции, дающий возможность рассматривать участие ЯЛ в дискурсивной деятельности в социально-философском аспекте; интегративный, раскрывающий пути комплексного использования данных различных наук в формировании методик и путей социально-культурного воздействия на медиареальность, деятельностный подход, с позиций которого становление ЯЛ рассматривается как активное взаимодействие личности и языкового сообщества в коммуникативной деятельности; аксиологический подход, позволяющий проанализировать язык и коммуникацию как социальные ценности, образующие фундамент аксиологической сферы ЯЛ.
Научная новизна исследования заключается, с одной стороны, в обосновании трансдисциплинарного статуса феномена ЯЛ, а, с другой – в инкорпорации концепта «языковая личность» в теоретический уровень обществознания, что позволило осуществить социально-философский анализ процесса становления ЯЛ как субъекта социальной коммуникации. Краткое изложение научной новизны может быть конкретизировано в следующих положениях:
- предложена модель языковой личности, позволяющая выявить ключевые направления становления носителя языка как субъекта языковой деятельности и представляющая собой единство трех аспектов: социально-онтологического, праксиологического и аксиологического;
- рассмотрено формирование языковой личности как интегративного социокультурного феномена с точки зрения ее участия в дискурсивной деятельности;
- выявлены и описаны диалектические противоречия, лежащие в основе взаимодействия языковой личности и языкового сообщества и определяющие границы субъектности носителя языка;
- показана специфика дискурса как вида социальной деятельности, в которой единство социального и индивидуального реализуется через такие полярные свойства, как конвенциональность–интенциональность, инструментальность–креативность, повседневность – институциональность;
- дана социально-философская интерпретация процесса формирования системы ценностей языковой личности, основанная на анализе механизма интериоризации фундаментальных коммуникативно-лингвистических ценностей.
На защиту выносятся следующие положения.
1. Языковая личность - интегративное социально-культурное явление, изучение которого предполагает использование разнообразных подходов, методов и исходных теоретических установок. Сложившееся в современном социально-гуманитарном знании представление о сложной многоуровневой структуре языковой личности должно быть дополнено исследованием динамического аспекта этого феномена, т.е. выявлением сущностных характеристик процесса становления субъектности носителя языка.
2. С точки зрения социально-философского подхода языковая личность может быть представлена как единство социально-культурной основы, включающей языковое сообщество со сформированным набором знаково-символических кодов (языком) и набором средств и способов социальной коммуникации, процесс порождения дискурса и внутреннюю систему ценностей.
3. Онтологическим основанием формирования языковой личности как субъекта дискурса является взаимодействие, реализуемое в системе индивид-сообщество через отношения носителя языка и языком как надличностной системой, оказывающей влияние на структурирование языковой личности; между языковым сообществом как воплощением коллективного языкового сознания и отдельной языковой личностью, обладающей индивидуальным языковым сознанием; между отдельными языковыми личностями как участниками диалога, протекающего в режиме реального времени «здесь и сейчас».
4. Становление языковой личности происходит в процессе участия индивида в порождении дискурса, который можно рассматривать как вид социальной деятельности, реализующийся в индивидуальных речевых актах. Диалектика социального и индивидуального в порождении дискурса конкретизируется в ряде противоречий (конвенциональность–интенциональность, инструментальность–креативность, повседневность – институциональность), которые являются источником развития языковой личности.
5. Формирование ценностной структуры языковой личности происходит в процессе языковой социализации, т.е. овладения языком как коммуникативным средством, обусловливающим взаимодействие личности и языкового сообщества. Совокупность ценностей складывается в устойчивое отношение к различным аспектам бытия, или ценностную ориентацию. В структуре личности ценностные ориентации образуют систему, которая, с одной стороны, выражает ценностные приоритеты самого человека, а, с другой – иерархию социальных ценностных ориентаций. Сформированная и относительно устойчивая система ценностных ориентаций является важным фактором, обеспечивающим целостность, самостоятельность и индивидуальную неповторимость личности. По отношению к языковой личности такую интегративную функцию выполняет ценностная иерархия, отражающая комплекс отношений носителя языка к лингвистическим и коммуникативным ценностям.
Теоретическая значимость. Предложенная в работе концепция формирования языковой личности может быть использована для построения трансдисциплинарной модели взаимодействия языковой личности и языкового сообщества. Выводы, сделанные в диссертации, открывают перспективы для дальнейшего изучения феномена языковой личности в свете таких разделов социальной философии, как философия человека, философия культуры, философия социального действия. Это связано, в первую очередь, с тем, что предметом изучения в данных разделах является человек представитель социальной группы или общности в процессе его участия в коммуникативном взаимодействии.
Практическая значимость исследования определяется возможностью применения результатов диссертации в лекционных курсах по философии языка, социальной философии, культурологии. Результаты исследования также могут быть использована для разработки учебно-методических пособий по ряду дисциплин социально-гуманитарного цикла особенно в отношении установления межпредметных связей между указанными курсами
Апробация работы. Основные положения диссертационного исследования обсуждались на заседаниях кафедры философии и социально-гуманитарных дисциплин ФГБОУ ВО «Ивановский государственный политехнический университет». Результаты исследования докладывались на Седьмой всероссийской научно-практической конференции с международным участием (16-18 октября 2014 года Иваново, 2014); VII Международной научно-практической конференции «Теория и практика актуальных исследований» (19 августа 2014 года, Краснодар, 2014); XXIX Международной заочной научно-практической конференции «Научная дискуссия: вопросы социологии, политологии, философии, истории» (Москва. 2014); VI Международной научно - практической конференции (30 — 31 мая 2014, Ижевск), научном семинаре с международным участием «Человеческая революция и синергия глобального сознания» (22 апреля 2017, Иваново).
```
По теме диссертации автором опубликовано 10 печатных работ общим объемом 2,5 п.л., из них 4 статьи в научных журналах, утвержденных перечнем ВАК.
Статьи, опубликованные в рецензируемых научных изданиях
1. Языковая личность и коммуникативная реальность: к вопросу об основаниях взаимного конструирования // В мире научных открытий. 2014. № 11.8.
2. Языковая личность в пространстве коммуникативной реальности: в поисках парадигмы исследования // Ученые записки Орловского государственного университета. Орёл: ОрлГУ, 2014. № 4.
3. К вопросу о формировании ценностной сферы языковой личности // В мире научных открытий. 2015. № 9.4.
4. Диалектика становления языковой личности как субъекта дискурса // Исторические, философские, политические и юридические науки, культурология и искусствоведение. Вопросы теории и практики. 2015. № 12-1 (62).
Статьи в научных изданиях РФ
1. Лингвистическая философия А.А. Потебни: к вопросу об онтологических основаниях языковой личности / XX международная научно-техническая конференция «Информационная среда вуза». Иваново, 2013.
2. Коммуникативная рациональность и проблема формирования коммуникативной компетентности языковой личности (в соавт.) // Ученые записки факультета экономики и управления. Вып. 24. Иваново, 2013.
3. Языковая личность: репрезентация vs конструирование // Актуальные проблемы современной когнитивной науки: Материалы седьмой всероссийской научно-практической конференции с международным участием (16-18 октября 2014 года). Иваново, 2014.
4. Языковая коммуникация: от перформативности к перфомансу: // Материалы VII Международной научно-практической конференции «Теория и практика актуальных исследований» (19 августа 2014 года). Краснодар, 2014.
5. Дискурсивные практики в пространстве коммуникативной реальности: от рациональности к иррациональности // Сборник статей по материалам XXIX международной заочной научно-практической конференции. М.: Издательство «Международный центр науки и образования». 2014.
6. Конструирование коммуникативной реальности: к вопросу о роли языковой личности // Социальная онтология в структурах теоретического знания: Материалы VI Международной научно - практической конференции 30 — 31 мая 2014 года Ижевск: Изд-во «Удмуртский университет», 2014.
```
Структура диссертации. Диссертация состоит из введения, двух глав, заключения и списка литературы и содержит 180 страниц.
ГЛАВА I. ЯЗЫКОВАЯ ЛИЧНОСТЬ КАК МЕЖДИСЦИПЛИНАРНАЯ КАТЕГОРИЯ: ТЕОРЕТИКО-МЕТОДОЛОГИЧЕСКИЙ АНАЛИЗ
Категориальный анализ концепта «языковая личность»
Обращение к изучению феномена языковой личности с точки зрения ее участия в социальной коммуникации в условиях современной коммуникативной реальности предполагает выявление инструментальных возможностей понятия «языковая личность» применительно к сфере социально-философских исследований. В этой связи необходимо: 1) раскрыть содержание понятия «языковая личность»; 2) выявить его соотношение с близкими по смыслу концептами и обосновать возможность их взаимозаменяемости; 3) уточнить, что будет пониматься под ЯЛ в рамках данного диссертационного исследования.
Под понятие языковой личности подводятся разные феномены – от субъекта, индивида, автора текста, носителя языка и просто информанта до языковой картины мира и знаний о мире, знания языка и знаний о языке, вплоть до самосознания и менталитета народа. Предпосылки концептуализации феномена ЯЛ были заложены представителями неогумбольтианской традиции в языкознании, в частности идеями Л. Вайсгербера об определяющей роли языка в формировании картины бытия. Язык трактовался как «промежуточный мир» между человеком и внешней реальностью, которая воспринимается индивидуумом (носителем языка) не иначе как сквозь призму родного языка.
В.В. Виноградовым впервые был использован термин ЯЛ для обозначения личности автора текста, выраженной в языке и через язык, и намечены основные принципы ее изучения: 1) опора на тексты, созданные языковой личностью, 2) учет включенности языковой личности в различные коллективные субъекты. Исследуя проблему индивидуального в языке и ссылаясь в это связи на Бодуэна де Куртенэ, он отмечал, что того «…интересовала языковая личность как вместилище социально-языковых форм и норм коллектива, как фокус смещения и смешения разных социально-языковых категорий». Описывая пути выделенной Ф. де Соссюром лингвистики de la parole, В.В. Виноградов говорил о том, что при изучении словесного творчества личности «…социальное ищется в личностном через раскрытие всех структурных оболочек языковой личности».
В 80-е годы XX века в отечественной лингвистике происходит активная тематизация феномена ЯЛ и ее углубленное осмысление на уровне выработки самого концепта и обоснования моделей ЯЛ. Наиболее распространенными становятся две теории: лингводидактическая концепция Г.И. Богина и более широкая – лингвистическая – Ю.Н. Караулова.
В трактовке Г.И. Богина ЯЛ – это «субъект речевой деятельности как носитель готовности создавать и принимать произведения речи (тексты)», т.е. упор делается на такую ключевую характеристику индивида как возможность отражать объективную реальность посредством языка.
Согласно Ю.Н. Караулову, ЯЛ – это «совокупность способностей и характеристик человека, обусловливающих создание и восприятие им речевых произведений, которые различаются степенью структурно-языковой сложности, глубиной и точностью отражения действительности, определенной целевой направленностью». Как отмечает указанный автор, ЯЛ понимается «…как вид полноценного представления личности, вмещающий в себя и психический и социальный, и этический компоненты, но преломленные через ее язык, ее дискурс».
Говоря об очевидном инструментальном значении концепта ЯЛ для развития исследований в сфере гуманитарного знания, нельзя не коснуться коротко и тех разногласий, которые возникли в языкознании по поводу его точности и возможности дополнения такими понятиями, как «человек говорящий» (Н.Д. Арутюнова), «речевая (дискурсивная) личность» (Ю.Е. Прохоров), «коммуникативная личность» (В.В. Красных). Обсуждается вопрос о том, как соотносятся указанные понятия, предполагает ли содержание понятия «языковая личность» имплицитную включенность всех перечисленных терминов.
В последнее десятилетие с концептом ЯЛ начинают все более активно конкурировать такие категории, как «дискурсивная личность» (далее – ДЛ), «коммуникативная личность» (далее – КЛ). Что касается понятия ДЛ, то его распространенности способствует достаточно давно оцененная исследователями оперативная продуктивность понятия «дискурс». Отмечая многообразие его трактовок, сошлемся как на наиболее распространенную ту, что восходит к философской герменевтике. По мнению П. Рикера, под дискурсом подразумевается «язык в действии» или «язык в употреблении». Подобная трактовка закреплена и в научной справочной литературе, где дискурс определяется как «связный текст в совокупности с экстралингвистическими — прагматическими, социокультурными, психологическими и другими факторами; текст, взятый в событийном аспекте; речь, рассматриваемая как целенаправленное социальное действие, как компонент, участвующий во взаимодействии людей и механизмах их сознания (когнитивных процессах)». Следовательно, в отличие от просто текста, который в законченном виде существует в пространстве, дискурс всегда темпорален, имеет место в настоящем времени, в ситуации «здесь-и-сейчас», т.е. связан с говорящим в настоящий момент субъектом. Кроме того, он всегда обращен к кому-то другому. В отличие от неживой системы знаков, он совершается в ситуации взаимодействия.
Логика рассуждений авторов, предлагающих заменить понятие ЯЛ понятием ДЛ, основывается на том, что последнее более полно отражает сущность рассматриваемого феномена, поскольку сам процесс порождения дискурса (говорения) уже выходит за границы содержания ЯЛ. Кроме того, термин «языковая личность» оказывается избыточным, т.к. «безъязыковой личности» не бывает (понятие языка включается в понятие личности). Научный концепт «языковая личность» «потерял свой эвристический заряд в свете накопившихся разысканий в области анализа дискурса».
Возражая на подобные аргументы, отметим. Во-первых, изначально концепт ЯЛ и конструировался для того, чтобы охватить весь комплекс свойств, объединяемых понятием языковая способность. Последняя объективно включает в себя, в том числе, и способность к членораздельной речи, а, следовательно, имплицитно входит в содержание ЯЛ. Полагаем, что фундаментальность конструкта «языковая личность» по сравнению со всеми остальными производными от него понятиями объективно обусловлена онтологическим статусом языка, который «является системообразующим компонентом социокультурного мира, через него определяется и структурируется наше восприятие, учреждаются границы важности значений, воспроизводятся конститутивные установки повседневной жизнедеятельности, предопределяются поведение и принятие социальных норм».
Во-вторых, тезис об избыточности понятия ЯЛ также не оправдан, поскольку подобный упрек можно адресовать и конструктам «дискурсивная» (речевая) личность, апеллируя к тому же доводу.
В связи с этим необходимо еще раз указать на инструментальное предназначение категории ЯЛ. Оно состоит не в том, чтобы создать понятие, альтернативное по своему познавательному значению категории «личность», а в том, чтобы концептуализировать значимый аспект социокультурного бытия человека – способность порождать дискурсы и обмениваться ими – и использовать данный концепт для описания и объяснения процессов социальной интеракции. В этом смысле можно согласиться с одним из уже упомянутых авторов, полагающим, что ЯЛ «в интеракциональном контексте и есть дискурсивная личность, которая формируется на пересечении коммуникативных и когнитивных факторов».
Поднимается также вопрос о соотношении концептов «языковая личность» и «коммуникативая личность». В этом отношении сложилось три подхода. Одни авторы полагают, что понятие ЯЛ шире понятия КЛ (С. Г. Воркачев, В.В. Соколова, С.С. Галстян) и представляет собой некую метакатегорию, отражающую четыре главных аспекта ЯЛ: мыслительный, языковой, речевой, коммуникативный. Другие не разграничивают эти понятия. Например, В.И. Карасик замечает, что ЯЛ в условиях общения может рассматриваться как коммуникативная личность. Наконец, третьи придерживаются позиции, что понятие КЛ шире, чем ЯЛ. По мнению В.П. Конецкой, в понятие «коммуникативная личность» включаются все свойства носителя языка. связанные с его способностью избирательно использовать как вербальные, так и невербальные коды, а также искусственные и смешанные коммуникативные коды в процессе взаимодействия в том числе и с машинами.
Выявление соотношения этих понятий – не столько терминологическая, сколько концептуальная проблема, связанная с пониманием природы социальной коммуникации, что весьма значимо в контексте данного исследования. Не углубляясь в дефиниции социальной коммуникации, сошлемся на одно из ее распространенных определений. «Социальная коммуникация есть движение смыслов в социальном времени и пространстве». Из него следует, что сердцевиной коммуникативного процесса в обществе является обмен смыслами, который осуществляется с помощью универсального кода – человеческого языка (его внешней актуализацией является человеческая речь, имеющая как вербальную, так и невербальную составляющую). При этом невербальные коммуникативные коды лишь условно могут быть изолированы от вербальных (например, с целью их изучения и выявления определенного культурного содержания), которые в конечном итоге и отвечают за смысловое оформление передаваемой информации. Поскольку языковая, речевая и коммуникативная составляющие ЯЛ образуют некое синтетическое триединство, то действительно не имеет смысла противопоставлять их друг другу и говорить о различных номинациях, альтернативных понятию ЯЛ или дополняющих его. Поскольку именно язык является тем началом, которое объединяет все аспекты личности, преломленные через ее дискурс, то логично категорию «языковая личность» рассматривать как интегративную.
В процессе номинации человек приобретает инструмент выявления и опознания сущности вещей – язык – в его знаковой форме. Соответственно, ЯЛ сочетает именование как процесс труда (речь) и имя как результат труда (языковую систему). Дифференцирующим признаком ЯЛ является языковое сознание, то есть отношение человека к миру, выраженное в языке, и отношение к самому языку.
Сложившийся в сфере лингвистических исследований подход к пониманию ЯЛ открывает широкие перспективы использования данного концепта за пределами лингвистики, выводя его на уровень трансдисциплинарных исследований. Эту мысль проводил и сам Ю.Н. Караулов, утверждавший, что «языковая личность – вот та сквозная идея», которая «пронизывает все аспекты изучения языка и одновременно разрушает границы между дисциплинами, изучающими человека вне его языка». Эту позицию разделяют и другие авторы, отмечая изначальную инструментальную значимость понятия ЯЛ, которое, по выражению С.Г. Воркачева, «образовано проекцией в область языкознания соответствующего междисциплинарного термина, в значении которого преломляются философские, социологические и психологические взгляды на общественно значимую совокупность физических и духовных свойств человека, составляющих его качественную определенность».
К настоящему времени можно с полным основанием констатировать, что категория «языковая личность» в сфере лингвистических исследований имеет статус научного концепта, демонстрирующего большую эвристическую ценность. Ее инструментальный потенциал в сфере лингвистических исследований (лингводидактика, психолингвистика, стилистика художественной речи, лингвокультурология, коммуникативная лингвистика) реализуется широко и многообразно.
Однако в указанной области знания содержание данного понятия естественно ограничено ее познавательными задачами и, соответственно, своеобразие ЯЛ в первую очередь рассматривается через призму национальной специфики языковой картины мира. В самом общем виде оно указывает на «национально-специфический тип коммуникатора», на личность, взятую в ее отношении к языку и речи (И.Н. Горелов, К.Ф. Седов), и, следовательно, рассматриваемую в определенном национально-культурном пространстве.
Вместе с тем есть все основания полагать, что познавательные возможности концепта «языковая личность» гораздо шире и не должны быть ограничены сферой лингвистики. Активная рецепция этого концепта таким науками, как психология, культурология, социология подтверждает сказанное. Полагаем, что в полной мере это относится и к сфере социально-философских исследований, прежде всего, направленных на изучение процессов социальной коммуникации.
Представляется, что настало время сфокусировать особое внимание на личности как создателе, носителе и пользователе языка в условиях коммуникативной реальности. Все более настоятельной становится потребность осмысления ЯЛ не как теоретической модели носителя определенных языковых структур, но как агента социальной коммуникации, что предполагает пристальное внимание к интерактивному пространству жизненных сценариев субъекта коммуникации.
Вовлечение феномена ЯЛ в предметную область социальной философии и, следовательно, включение соответствующего понятия в ее категориальный аппарат позволяет выявить новые значимые ракурсы в изучении социальной сущности личности.
Понимание формирования личности через развитие ее субъектности было распространено в философии советского периода. Так, по мнению В.П. Тугаринова, различие между человеком и личностью заключается в том, что человек – это организм, а личность – субъект деятельности и общения. «Личность, - писал другой советский философ Э.В. Ильенков, - и возникает тогда, когда индивид начинает самостоятельно, как субъект, осуществлять внешнюю деятельность по нормам и эталонам, заданным ему извне — той культурой, в лоне которой он просыпается к человеческой жизни и человеческой деятельности». Однако в подобной трактовке процесс взаимодействия индивида и социума представлен односторонне как усвоение человеком готовых форм социальности.
Позднее личность стала пониматься как субъект осмысленной деятельности с устойчивыми духовными и поведенческими стереотипами, ролями, индивидуально выработанными или приобретенными им в сообществе, культуре.
Таким образом, процесс формирования личности стал рассматриваться как взаимодействие человека и общества, в котором индивидуальная специфика интериоризации социального контента, свобода выбора субъекта деятельности столь же существенны, как и внешние факторы ее становления. Сущность личности осмысливается как двуединство субъекта-носителя и субъекта — творца реальности, как мера «усвоения субъектом содержания культурного опыта, передаваемого индивиду социумом, и как меру деятельной отдачи приобретенного и приумноженного им в ходе социализации культурного достояния».
В контексте данного исследования важным является вопрос о релевантности понятия «языковая личность» феномену «личность» как объекту социально-философской рефлексии.
Представляется, что концепт «языковая личность», схватывающий сущность личности как носителя языковой способности, позволяет обобщить представление о личности как носителе языка (языков), национальной картины мира и культурно обусловленных стереотипов речевого поведения, а также как о языковой индивидуальности. Именно такое понимание языковой личности отражено в определении Э.Ю. Панитковой, которое будет использоваться в качестве рабочего в данном диссертационном исследовании. Под ЯЛ она понимает «субъект, потенциально или актуально включенный во взаимодействие с другими участниками языковой коммуникации, который при помощи языка осуществляет осмысливание, концептуализацию мира, общение с другими личностями, а также самовыражение посредством тех способов, которые свойственны: 1) человеческому языку вообще; 2) конкретному (национальному) языку, а также языку разнообразных социальных общностей; 3) языку данного индивида».
Модели языковой личности: от лингвистики к социальной философии
Широко используемым познавательным инструментом в изучении ЯЛ является моделирование ее структуры. Интегративный характер ЯЛ предполагает наличие различных подходов к построению таких моделей. Любая из них лишь частично «охватывает» природу феномена, высвечивая в нем то, что важно с определенной точки зрения. В то же время не исключается и наличие в разных моделях инвариантов, отражающих базовые характеристики изучаемого объекта.
В контексте задач, решаемых в данном диссертационном исследовании, представляется методологически значимым определиться с принципами структурирования ЯЛ, релевантными социально-философскому подходу к ее изучению, проанализировав предварительно модели ЯЛ, разработанных в других науках.
Приоритет в освоении этого подхода безусловно принадлежит лингвистике, в которой представлены разные варианты моделей.
В лингвистическом подходе одной наиболее востребованных является уровневая модель Ю.Н. Караулова. В структуре ЯЛ выделяются три уровня: 1) вербально-семантический; 2) когнитивный; 3) прагматический. При этом отмечается, что «на каждом уровне своей организации соответственно имеет и временные, и вневременные, изменчивые, развивающиеся образования, и сочетание этих феноменов и создает наполнение соответствующего уровня».
На базовом – вербально-семантическом – уровне, единицами которого являются отдельные слова и устойчивые словосочетания, индивид демонстрирует общее владение языком в пределах лингвистической нормы. О собственно ЯЛ можно говорить, начиная со второго – когнитивного – уровня, поднимаясь до которого носитель языка овладевает определенными понятиями, концептами, формирующими картину мира. В содержание третьего – прагматического – уровня входят такие элементы, как цели, установки, интенции ЯЛ. Именно на этом интегративном уровне ЯЛ воплощается как полноценная личность в ее самом широком смысле.
Несмотря на то, что изначально данная модель ЯЛ разрабатывалась с целью решения лингвистических задач, а именно реконструкции различных типов носителей языка на основе текстов (художественных произведений, мемуаристики, эпистолярного наследия и т.д.), ей присущ трансдисциплинарный методологический потенциал, в том числе и возможности применения в сфере социально-философских исследований. Продуктивной представляется мысль о том, что на нулевом (базовом) уровне нет ЯЛ, а есть только человек говорящий. Обретение смысла понятий осуществляется в диалоге личности с культурой (размышление) и с другими личностями (интеллектуальное общение), что и составляет дискурс. При этом, как отмечал А.Ф. Лосев, «одно и то же предметное содержание слова разные народы понимают по-разному, в сфере народа — по-разному понимают разные индивидуумы, в сфере индивидуума — понимание разнится по разным временным моментам и условиям». Описанная модель позволяет рассматривать ЯЛ и в структурном, и в динамическом аспектах, показывая этапы формирования личности (от языкового субъекта как простого носителя языка до личности как полноценного члена социума).
Лингводидактическая модель ЯЛ Г.И. Богина была разработана с целью формализации процессов использования языка человеком, а более конкретно – для изучения ЯЛ в процессе обучения иностранному языку. Г.И. Богин подчеркивает противоречивость процесса становления ЯЛ: «…способ формирования языковой личности так же противоречив, как и способ ее существования. Источник противоречий – в факте развития языковой личности. Этапы развития ЯЛ не связываются с возрастным фактором. Автор полагает, что «языковая личность закономерным образом развивается от одного уровня готовности действования с речевым произведением к другому, а также то, что результат этого развития может быть описан в упорядоченной форме». Г.И. Богин разработал модель всех готовностей человека к осуществлению речевых актов с целью изучения структуры ЯЛ и генезиса ее уровней и компонентов.
Рассматриваемая модель включает пять уровней развития ЯЛ: 1) уровень правильности; 2) уровень интериоризации; 3) уровень насыщенности; 4) уровень адекватного выбора; 5) уровень адекватного синтеза. Не углубляясь в содержательное описание указанных уровней, отметим, что они отражают становление ЯЛ, которое происходит путем продвижения от одного уровня владения языковым знанием к другому уровню, более высокому.
Обе модели имеют ряд сходств, которые заключаются в следующем. Во-первых, их ярко выраженный текстоцентризм, обусловливающий рассмотрение ЯЛ через призму создаваемых или усваиваемых им текстов. Личность носителя языка, прежде всего, интересует авторов этих концепций с точки зрения последовательных этапов продвижения на пути актуализации языковой способности и достижения готовности к совершению речевых поступков. Г.И. Богин заключает, что «полем реализации инициатив языковой личности, вышедшей на высший уровень своего развития, может быть только целый текст». По его мнению, ЯЛ - это не только система готовностей, но и система текстов. Во-вторых, иерархичность обеих моделей, учитывающая восходящее направление развития ЯЛ как доминирующее. При этом авторы обеих моделей акцентируют внимание на взаимодействии множества факторов как источника развития ЯЛ. В-третьих, что придает особую значимость этим моделям в рамках данного исследования, учет социальных факторов в процессе формирования ЯЛ. Следуя научной традиции, заложенной в европейском языкознании В. фон Гумбольдтом, а в отечественном – А.А. Потебней, и Г.И. Богин, и Ю.Н. Караулов подчеркивали, что ЯЛ необходимо изучать, только принимая во внимание ее взаимодействие с социумом, стимулирующим развитие носителя языка и формирующим его готовность к саморазвитию и познанию.
Лингвокультурологическая модель ЯЛ В.И. Карасика базируется на признании неразрывной связи этнокультурных и социокультурных начал в человеке, с одной стороны, и индивидуальных особенностей с другой. Поскольку под ЯЛ понимается «обобщенный образ носителя культурно-языковых и коммуникативно-деятельностных ценностей, знаний, установок и поведенческих реакций», то представленная модель предназначена для того, чтобы выявлять и описывать типы ЯЛ, дифференцированные по различным социокультурным или этнокультурным критериям.
ЯЛ рассматривается В.И. Карасиком как единство речевой деятельности и речевой организации человека. Они тесно взаимосвязаны, но не тождественны друг другу, соотносясь как явление и сущность. В речевой организации человека автор выделяет пять аспектов: 1) языковая способность как органическая возможность научиться вести речевое общение (сюда входят психические и соматические особенности человека); 2) коммуникативная потребность, т.е. адресатность, направленность на коммуникативные условия, на участников общения, языковой коллектив, носителей культуры; 3) коммуникативная компетенция как выработанное умение осуществлять общение в его различных регистрах для оптимального достижения цели, компетенцией человек овладевает, в то время как способности можно лишь развить; 4) языковое сознание как активное вербальное «отражение во внутреннем мире внешнего мира»; 5) речевое поведение как осознанная и неосознанная система поступков, раскрывающих характер и образ жизни человека.
В отличие от моделей Г.И. Богина и Ю.Н. Караулова лингвокультурологическая модель В.И. Карасика, во-первых, предполагает включенность поведенческого аспекта в саму структуру ЯЛ. В данном случае имеется в виду конкретная речевая деятельность (речевое поведение), а не только его мотивация или готовность к его осуществлению. Следовательно, открывается возможность более широкого понимания ЯЛ как потенциального и актуального участника социально-коммуникативного взаимодействия. Во-вторых, эта модель не иерархична, что дает возможность рассматривать ЯЛ не столько телеологично, т.е. в процессе движения к определенной цели – совершенствованию личности как носителя языка, – сколько по горизонтали, имея в виду ее включенность в процессы социальной коммуникации, протекающие на разных уровнях взаимодействия, с разным социальным эффектом, учитывая разную конфигурацию коммуникативного пространства.
В рамках психологического подхода, как правило, понятие ЯЛ активно не используется. Н. Хомский, например, исходил из ограниченности его объяснительных возможностей, полагая, что структура ЯЛ лишена динамизма. В фокусе исследования чаще оказывается феномен языковой способности, в понимании которого сложилось два основных подхода: 1) языковая способность наследуется, соответственно, исходный материал заложен в человеке от рождения (Н. Хомский, Е. Ленненберг), 2) языковая способность формируется на основе нейрофизиологических предпосылок, но, будучи социально обусловленной, реализуется только в деятельности и по ее правилам (А.В. Запорожец, Б.М. Теплов и другие.).
В трудах Л.С. Выготского, А.Н. Леонтьева, А.Р. Лурии, С.Л. Рубинштейна развитие и совершенствование языковой способности связывается с включенностью индивида в практическую деятельность, взаимодействие с другими людьми, в результате чего он все более овладевает языковыми механизмами. Один из основателей отечественной психолингвистики А.А. Леонтьев сформулировал понятие речевой организации индивида, включив в нее языковую способность, как «совокупность физиологических и психологических условий, обеспечивающих производство, воспроизводство и адекватное восприятие языковых знаков членами языкового коллектива», речевую деятельность, т.е. языковой процесс как «реализацию языковым коллективом языковой способности в определенных культурных условиях для целей коммуникации и мышления» и языковую систему, или языковой стандарт, т.е. «упорядоченную систему элементов языковой деятельности».
В работах А.М. Шахнаровича, Е.Н. Пузанковой структура языковой способности представляется как совокупность показателей, объединенных в три группы: интеллектуальный, языковой и речевой компоненты.
В психолого-педагогическом подходе, ориентированном прежде всего на формирование ЯЛ ученика, уровневая модель Ю.Н. Караулова конкретизируется через иерархию компетенций, т.е., по сути, языковых способностей. Таким образом, вербально-семантический уровень выражается в лингвистической способности (знании лексических единиц и правил их употребления); тезаурусный – в когнитивных способностях (например, культурно-языковая способность), мотивационный – в прагматической способности (например, релевантность использования языковых единиц).
С позиций социологии коммуникации основной интерес представляет структура прагматической характеристики ЯЛ, которая включает в себя три параметра: мотивационный, когнитивный и функциональный. Центральным элементом является мотивация, природа которой может трактоваться по-разному. Не углубляясь в этот вопрос, хотелось бы сослаться на ряд положений теории мотивации А.Н. Леонтьева и ее развития Д.А. Леонтьевым, методологически значимых для последующего осмысления дискурса как вида социального действия.
Мотив запускает деятельность, указывая, что именно нужно субъекту в данный момент и определяя «зону целей». Принципиально важным является разведение мотивов-стимулов, побуждающих интерес (в данном случае, к совершению коммуникативного акта), и смыслообразующих мотивов, имеющих личностный смысл и, соответственно, придающих смысл действию. Поскольку побудительная и смыслообразующая функции мотива тесно связаны, то возникает необходимость введения понятия «качество мотивации», т.е. характеристика того, в какой мере мотивация согласуется с глубинными потребностями и личностью в целом.
Когнитивный параметр представляет собой набор характеристик, ответственных за формирование внутреннего мира ЯЛ в процессе накопления индивидуального познавательного опыта. К наиболее значимым из них можно отнести знание коммуникативных кодов, позволяющих адекватно воспринимать получаемую информацию и реагировать в соответствии с коммуникативной установкой, способность наблюдать за своим языковым сознанием; адекватно оценивать когнитивный потенциал партнера.
Функциональный параметр описывается тремя характеристиками, определяющими степень коммуникативной компетентности ЯЛ. К ним относятся: 1) практическое владение индивидуальным запасом вербальных и невербальных средств для актуализации процесса коммуникации; б) умение варьировать коммуникативные средства в зависимости от изменения коммуникативной ситуации; в) конструирование дискурса в соответствии нормами избранного коммуникативного кода и правилами речевого этикета.
Настоятельная потребность в более обобщенном, философском, взгляде на природу ЯЛ отражена уже в работах М.М. Бахтина 20-х годов прошлого века. Предложенная им интегративная программа изучения личности носителя языка основывалась на идее синтеза филологии, психологии и философии. Отмечая ограниченность собственно лингвистических исследований, он предложил в качестве фокуса изучения человека говорящего - смысловые отношения в самом высказывании, между высказываниями, а также отношения высказываний к действительности и к говорящему лицу (автору). Такой подход должен был способствовать, по выражению Бахтина, преодолению «бездны между мотивом поступка и его продуктом».
Оставаясь в пределах теории диалога автора и героя произведения, М.М. Бахтин ввел важное понятие «ценностно-смысловая картина мира», которое в дальнейшем позволило расширить концептуальные горизонты трактовки ЯЛ, включив в нее экзистенциальный аспект - содержание личностного существования. Признание в общей структуре ЯЛ такого интегративного элемента, как ценностно-смысловая картина мира, позволяет непротиворечиво объяснить, каким образом возможно единство ЯЛ при том разнообразии дискурсов, которое выражает различные стороны социального бытия носителя языка. Действительно, вовлеченность ЯЛ в исполнение различных социальных ролей, в «противоборствующие напряжения, включая сюда взаимоисключающие «инструкции», диктуемые человеку от имени различных подсистем «социума совместного труда», не разрушает ее целостность. Это связано с наличием в структуре личности экзистенциального ядра - представления о смысле жизни, что влияет на выбор жизненных ценностей, идеалов, установок.
В качестве модели ЯЛ, базирующейся на единстве лингвистики, психологии и философии, предлагается рассмотрение личности носителя языка через речевую деятельность, представленную в виде триадичной структуры: интенция – высказывание – оценка. «Так, - пишет Т.Е. Владимирова, - языковая личность может быть уподоблена дереву, у которого корни – этико-эстетические ценностные представления, ствол – возникающие интенции, а тесно переплетенные между собой ветви кроны символизируют язык, речь и дискурс как способы бытия «человека говорящего».
Как видим, автор данной модели выстраивает несколько иную взаимосвязь между элементами структуры ЯЛ, отличную от классической уровневой модели. В ней весь лингвистический комплекс (язык-речь-дискурс), взятый в единстве лексикона, тезауруса и прагматикона, венчает и одновременное манифестирует то духовное содержание, которое «питает», наполняет человека говорящего, превращая его из носителя языка в целостную, самостоятельную ЯЛ. Интеграция таких значимых аспектов ЯЛ в пределах философского подхода позволяет рассматривать ее в более широком контексте осмысленной целенаправленной деятельности, имеющей и экзистенциальное измерение.
Рассмотренные подходы к моделированию ЯЛ позволяют выявить некоторые ключевые принципы, положенные в основу трактовки этого феномена, и тем самым выстроить логику исследования процесса становления носителя языка как субъекта языковой деятельности. Во-первых, исходным условием формирования ЯЛ является наличие универсальной для всех людей языковой способности как основы для последующего выстраивания социальной коммуникации. Во-вторых, динамика ЯЛ берется в двух аспектах: как развитие, т.е. продвижение от одного уровня освоения языка к другому, более высокому (модели Ю.Н. Караулова, Г.Н. Богина), и как деятельность (речевое поведение, коммуникация), т.е. с точки зрения структуры и содержания внешнего выражения языковой способности.
Отдельно отметим, что весьма продуктивной представляется идея Ю.Н. Караулова о том, что ЯЛ – это не ракурс личности, определенный срез ее изучения, а полноценная личность, воплощающая все аспекты (психологические, социальные, этические) в языковом преломлении.
Таким образом, рассматривая структуру ЯЛ, имеет смысл говорить о двух уровнях ЯЛ – индивиде как носителе языка и собственно личности. Под носителем языка понимается просто человек, способный к производству речевых актов и обладающий исходным речевым субстратом. При этом его субстратная основа вслед за А.Н. Портновым будет пониматься шире, чем в моделях Г.И. Богина и Ю.Н. Караулова. «Базовый, или субстратный уровень, - отмечает А.Н. Портнов, - образуют не отдельные лексемы (как, например, полагает Ю.Н. Караулов) и даже не совокупность фонетических, словообразовательных, лексических, грамматических, прагматических значений и моделей языка, усвоенного конкретной личностью. В нашем понимании, субстрат языковой личности – это универсальные для всего человечества речемыслительные механизмы, над которыми надстраивается совокупность вышеупомянутых моделей, присущих всем носителям национального языка».
В данном случае речь не идет только об определенном этапе онтогенеза, т.е. той стадии, когда у индивида еще не сформировано языковое сознание, и он не овладел всем необходимым инструментарием языковой деятельности. Уровень индивида как носителя языка предполагает просто его включенность в процесс речевой коммуникации в качестве одного из участников коммуникативной среды. Если пользоваться терминологией В.И. Карасика, то как индивид – носитель языка – человек обладает двумя фундаментальными атрибутами – языковой способностью и языковой потребностью.
На собственно личностном уровне ЯЛ выступает как субъект языковой деятельности и это предполагает его осознанное, целенаправленное включение в речевое взаимодействие с другими участниками, в активное и осмысленное порождение дискурса, основанное на самостоятельном выборе. ЯЛ, таким образом, представляет собой единство языкового сознания и совокупности речевых практик, ибо характеризуется, по справедливому замечанию Г.В. Ейгера и И.А. Рапопорта, не только тем, что она знает о языке, а и тем, что он может с языком делать».
Однако в рассмотренных моделях ЯЛ социальность берется в качестве исходной посылки, принимается за данность. Это допущение, вполне естественное в рамках лингвистического или психологического подходов, требует дополнительного обоснования при рассмотрении проблемы формирования ЯЛ в социально-философской перспективе. Человек становится ЯЛ по мере развития языковой способности. Конкретность этой меры и, следовательно, степень своеобразия и субъектности носителя языка выражает неповторимое сочетание ее индивидуальности и особенностей социума, формирующееся и проявляющееся в деятельности по освоению, использованию и оцениванию языка.
Наличие языковой способности у индивида как носителя языка является необходимой, но не достаточной предпосылкой становления ЯЛ. Онтологическое основание для ее актуализации образует языковое сообщество, включающее такие социальные константы, как культура, язык и коммуникация. Пересечение двух сфер бытия – интерсубъективности и жизненного мира отдельного Я – задает способы их взаимодействия как единства процессов субъективации и объективации, интеграции и дифференциации, единства коллективного и индивидуального.
Вторым условием формирования ЯЛ является включение носителя языка в различные дискурсивные практики в рамках процесса социальной коммуникации. Вовлекаясь в социальное коммуникативное пространство, индивид начинает реализовывать свою языковую способность через речевое поведение, а шире – через языковую деятельность, т.е. социальную активность, проявляющуюся в практическом овладении всем комплексом социально-коммуникативных кодов (вербальных, паравербальных, невербальных).
Дискурсопорождающая деятельность индивида может быть представлена как детерминируемый и самодетерминируемый процесс. Это значит, что по мере освоения носителем языка законов, норм, правил языковой деятельности, т.е. языковых конвенций, формируется способность произвольного выбора, варьирования форм языкового поведения на основе субъективного плана действий. Именно сочетание индивидуального дискурсивого опыта и социальных детерминант освоения языка и порождает ту самобытную, уникальную целостность, которая называется ЯЛ.
Третьим значимым аспектом формирования ЯЛ является отношение носителя языка к дискурсу, т.е. наличие системы ценностей, задающей критерии и направления оценивания собственного языкового поведения, равно как и отношение к дискурсу другого. Как правило, имплицитно присутствующие в языковом сознании, они слабо отрефлексированы индивидом и проявляются непосредственно в его социальном дискурсе. Имеется в виду совокупность базовых ценностей (ценность языка и коммуникации), которые только отчасти охватываются такими понятиями, как культура речи, речевой этикет, этика речевого общения, и выходят в сферу метакоммуникации (уровень отношений, а не содержания информации). Сформированность у носителя языка устойчивой ценностной иерархии является значимым признаком ЯЛ.
Исходя из сказанного, в социально-философском плане ЯЛ может рассматриваться в трех основных аспектах: онтологическом, праксиологическом и аксиологическом, т.е. как единство социально-культурной основы, индивидуального дискурсопорождения и внутренней системы ценностей. Соответственно, процесс формирования ЯЛ представляет собой развитие языковой способности отдельного носителя языка, который через включение в коммуникацию в конкретной социокультурной среде осуществляет дискурсопорождающую деятельность, основанную на определенном ценностном отношении к ней.
Человек как носитель языка: опыт концептуализации в современном социально-гуманитарном знании
Проблема ЯЛ рассматривается в разных научных парадигмах. Однако до и помимо концептуализации феномена ЯЛ в лингвистике в других гуманитарных науках (психология, социология) обозначился интерес к этой проблеме и начал формироваться свой категориальный аппарат, направленный на изучение человека как носителя языка. Хотя во многих гуманитарных науках, обращающихся к изучению языковой коммуникации, концепт ЯЛ почти не эксплицируется, в ряде школ, сложившихся в русле неклассической парадигмы, были сформулированы принципиально важные идеи, задающие эпистемологические подходы, весьма продуктивные в контексте решаемых в диссертации задач.
Рассматриваемые в данном параграфе парадигмы и отдельные философемы представляют собой определенные концептуальные «узлы», в которых воедино связывается проблематика изучения ЯЛ в различных сферах гуманитарного знания (философии, лингвистике, социологии, психологии).
Социальный конструктивизм
Парадигма социального конструктивизма во многом является результатом лингвистического поворота, обозначившегося в гуманитарных науках во второй половине XX века. С точки зрения структурной, она представляет собой не столько законченную теорию, сколько совокупность понятий, принципов, объединенных общей идеей конструирования социальной реальности.
По сути, корни социального конструктивизма уходят в античную философию. Уже в учениях софистов и скептиков одной из центральных становится идея зависимости картины мира от воспринимающего субъекта (сообщества). Среди предшественников конструктивизма некоторые исследователи называют Д. Вико и И. Канта. Если оставить эти историко-философские параллели в стороне, то следует признать, что социальный конструктивизм – это порождение гуманитарной мысли XX века, трансдисциплинарная парадигма, сложившаяся на пересечении проблемных полей современной психологии (генетическая эпистемология Ж. Пиаже, теория личностных конструктов Дж. Келли), социальной психологии (социальный конструкционизм К. Джерджена, Р. Харре, Дж. Шоттера), социологии (феноменологическая социология П. Бергера и Н. Лумана), лингвистики и философии (аналитическая философия языка Л. Витгенштейна).
Философским основанием социального конструктивизма стала концепция языковых игр Л. Витгенштейна, обратившегося к изучению «структуры» естественного языка, состоящей из разнообразных «языковых игр», подчиняющихся различным «правилам» или способам языкового поведения. В этой концепция обозначился новый поворот в изучении языка, способствующий выявлению его социальной природы и позволяющий рассматривать языковую деятельность через призму реальной коммуникативной практики. «Игра-поведение», по Витгенштейну, подчиняется определенным «правилам» и нормам, ставшими «формой жизни».
Витгенштейн также сформулировал тезис о невозможности приватного, частного языка, т.е. создания такого языкового кода, в котором человек не следовал бы общепринятым правилам. Изучение правил употребления языка и связанной с ним «жизненной формы» есть обязательное условие успешной социализации человека. Следовательно, личность как член сообщества неизбежно втягивается в определенные языковые игры и зависит от правил и других участников этих игр.
Вслед за Витгенштейном К.-О. Апель рассматривает участие человека в языковых играх с позиций интерсубъективности. В предложенной им трансцендентально-герменевтической концепции языка традиционное трехчленное отношение объект – знак – субъект расширяется за счет включения других субъектов, хотя бы воображаемых, которые находятся с первым в отношении знаковой коммуникации. Такой тип отношений Апель определяет как коммуникативное сообщество и различает два его образа – реальное коммуникативное сообщество (внутри которого проходит процесс социализации индивида) и идеальное коммуникативное сообщество (идеальный конструкт такого сообщества, где реализуются все нормы коммуникативной этики и где возможно идеальное согласование смысла и понимание). При этом исторический прогресс человечества понимается Апелем как процесс сближения идеального и реального коммуникативного сообществ. Не соглашаясь с тезисом Витгенштейна о принципиальной неопределенности многообразия языковых игр, ограничивающей возможности понимания между представителями разных языковых сообществ. Апель вводит понятие трансцендентальной языковой игры идеального коммуникативного сообщества, лежащей в основе любой конкретной языковой игры как трансцендентально-прагматические посылки ее реализации.
Основные положения социального конструктивизма были сформулированы П. Бергером и Т. Лукманом в работе «Социальное конструирование реальности». Во-первых, авторы подчеркивают объективность языка как знаковой системы. «Я сталкиваюсь с языком как с внешней для меня фактичностью, и он оказывает на меня принудительное влияние. Язык подчиняет меня своим структурам. (…) Язык предоставляет мне готовую возможность непрерывной объективации моего возрастающего опыта». Во-вторых, обладая транцендирующей и интегрирующей силой, язык способен активировать социальные отношения, которые не относятся к категории «лицом к лицу», т.е. к повседневному общению, и реконструировать, «сделать наличными» не только тех. кто отсутствует в данный момент в непосредственном коммуникативном процессе, но и тех, кто относится к воспоминаниям.
Применительно к ЯЛ язык – это надличностная структура, инструмент, который позволяет человеку объективировать, сохранять и накаливать свой биографический и исторический опыт. Язык по отношению к его отдельному носителю является необходимым фактором не только реализации, но и углубления его субъективности.
Идеи социального конструкционизма получили развитие в теории координированного управления смыслообразованием (КУС) Б. Пирса и В. Кронена. Авторы взяли за основу выводы, полученные для нейробиологии Г. Ротом, и экстраполировали их на область социального взаимодействия. Теория КУС фокусируется на коммуникации как на базовой социальной реальности. В рамках этой исследовательской перспективы события и предметы социального мира создаются в социальных процессах именования, называния и взаимодействия.
Как отмечает Б. Пирс, наиболее типичной характеристикой человека является вовлеченность в паттерны коммуникации (patterns of communication) друг с другом и другими одушевленными и неодушевленными объектами, среди которых мы живем. «Мы используем язык, мы живем среди устойчивых паттернов «вызов-ответ» (constant patterns of call-and-response), мы воспринимаем мир посредством определенных фреймов или контекстов», - продолжает свою мысль указанный автор. Делая пояснения относительно того, кто подразумевается под «мы», Б. Пирс указывает, что ключевой позицией в данном случае является положение о том, что «мы» - это одновременно и продукт, и производитель структур коммуникации.
Сформировавшаяся в русле лингвистического поворота во второй половине XX века, теория КУС основывается на следующих постулатах: 1) реальность – продукт социального конструирования; 2) инструментом социального конструирования является язык; 3) способом организации и поддержания реальности является нарратив.
Ключевыми концептами теории Пирса-Кронена являются координация, согласованность (когерентность), тайна. Под координацией понимается способ совмещения наших высказываний с высказываниями других людей, при котором возникает социальное событие, рассматриваемое сторонами коммуникации, как паттерн. Координация не предполагает с необходимостью понимание или согласие участников коммуникации равно как и наше положительное отношение к конкретному паттерну.
Когерентность, или управление значениями – это процесс индивидуального или коллективного рассказывания историй с целью интерпретации как окружающего нас, так и внутреннего мира. Мы всегда находимся в поле напряжения, возникающим между историями, которые мы рассказываем о себе и о других, и повествованиями других людей. Новый смысл согласованности, по мнению В. Пирса, придают современные коммуникативные технологии, так как с их помощью происходит вовлечение в нарратив целых сообществ и, как следствие, создание общих историй.
Концепт тайны подразумевает, что мир и опыт познания мира больше, чем истории, которые могут быть рассказаны в целях придания связанности, последовательности событиям. Творческая сила языка имеет двоякую природу: создаваемые языком картины реальности организуют и тем самым ограничивают видение. Пояснением к концепту тайны в КУС могут служить слова П. Вацлавика: «реальность — это то, что мы сами строим из того, что, по всей вероятности, находится всецело за пределами человеческого сознания».
Преломленная через призму проблемы сознания, парадигма социального конструкционизма определяет концептуальную базу таких направлений современной неклассической психологии, как нарративная и дискурсивная психология. Сторонники этой парадигмы (К. Герген, Р. Харре, Дж. Шоттер и другие), во-первых, подчеркивают неотражательную природу познания и, как следствие, детерминированность сознания языковыми и социокультурными факторами, опосредованность понимания мира индивидуальными конструктами, формируемыми в онтогенезе. «Дискурс составляет характерную особенность человеческой жизни. Он функционирует отнюдь не потому, что «отражает» (объективно) действительность. Такого рода «отражение» вообще достаточно сомнительно. То, что мы воспринимаем через речь, в большой мере определяет наш взгляд на мир или, по меньшей мере, влияет на него».
Во-вторых, признается, что мир конструируется не индивидуально, а в коллективной деятельности. Ключевыми концептами социального конструкционизма являются такие, как «сообщество», «социальные конвенции», «дискурс», «нарратив», «социальные практики». Дж. Шоттер, К. Гирген, Дж. Поттер обосновывают мысль о том, что различные сферы человеческой активности определяются функционирующим в обществе дискурсом. Основная мысль авторов состоит в том, что через дискурс устанавливается множество психологических и социально-психологических феноменов. Это подтверждается примерами формирования персональной идентичности; властных позиций; манер повседневного поведения людей; анализа процессов воспоминания и забывания в контексте социальной активности. Общей основой всех указанных тем являются процессы, формирующие человеческие способности, опыт, обыденное сознание и правила общения людей в их взаимообмене разнообразными дискурсами.
Конструирующая роль языка, реализующаяся через лингвистические практики, заключается в фиксировании людей, использующих эти практики, в определенной социальной позиции. Оперирование тем или иным дискурсом не только дает возможность носителю языка обосновывать свои действия, но и выявляет некие устойчивые коммуникативные паттерны (отношения подчинения/доминирования).
Стоит отметить, однако, что конструирование реальности посредством языка возможно в силу изначальной социальной природы знаково-символической действительности, не существующей в качестве отдельной самостоятельной сущности. Об этом весьма убедительно говорил П. Бурдьё, отмечая, что потенциал символов заключен не в них самих, а в социальных обстоятельствах, например, в социальных статусах. Именно поэтому слова людей, обладающих определенным социальным положением (чиновники, политики, священники, преподаватели) оказывают особое влияние.
Включение парадигмы социального конструктивизма в методологический инструментарий диссертации позволяет рассматривать формирование ЯЛ как процесс взаимного конструирования знаково-символической реальности, осуществляемый отдельным носителем языка и языковым сообществом. В ходе этого взаимодействия индивид не только осваивает правила и законы конструирования, но и исследует границы знаково-символического пространства, степень своей дискурсивной свободы.
Перформативный поворот
С парадигмой социального конструктивизма тесно связана парадигма перформативности коммуникации. В философии позднего Л. Витгенштейна, а затем американских аналитиков У. Куайна. Г. Гудмена, У. Селларса обозначился новый вектор развития концепции языка - прагматический (перформативный) поворот. Подчеркивалась не репрезентативная функция языка, что было характерно для классического мышления, а коммуникативно-прагматическая. В этом ракурсе язык представляется не только как средство кодирования и передачи информации, но и через призму интерсубъективности, т.е. согласования коммуникативных правил. Тем самым в орбиту философского интереса, хотя и имплицитно, но уже попадает субъект речевой деятельности – языковая личность.
Парадигма перформативности речевой деятельности пришла на смену безраздельно господствовавшей долгое время в лингвистике и философии репрезентативной парадигме языка. Репрезентация как способ освоения мира – способность личности переводить внешние по отношению к ее сознанию объекты в знаки и обмениваться ими с другими участниками коммуникации является необходимым условием формирования вербально-семантического уровня ЯЛ, предполагающего для носителя нормальное владение естественным языком.
Более того, по мысли французского лингвиста Э. Бенвениста, язык устроен таким образом, что позволяет каждому говорящему, когда тот обозначает себя как Я, как бы присваивать себе язык целиком. Речь идет о том, что язык предоставляет в некотором роде «пустые» формы, которые каждый говорящий в процессе речи присваивает себе и применяет к своему собственному «лицу», определяя одновременно самого себя как «я», а партнера как «ты». Процесс присвоения совершается в индивидуальном акте высказывания. В такой интерпретации становится особенно очевидно, что присвоение – это обычная, многократно повторяемая любым из нас формальная процедура, ибо происходит она в рамках и благодаря имеющемуся в нашем распоряжении «формальному аппарату высказывания» с его дихотомической логикой «я» и «ты». «Индивидуальный акт присвоения языка вводит того, кто говорит, в его собственную речь».
Однако репрезентативная парадигма языка не дает ответ на вопрос, как возможно овладение значением, т.е. наполнение содержанием тех «пустых клеток» единой языковой матрицы. Кроме того, ни репрезентативная, ни тем более структурная парадигмы языка не нуждались в концептуализации понятия пользователя языком, поскольку предметом исследования был сам язык, который рассматривается как некий самодостаточный механизм, автономный и по отношению к человеку, и по отношению к внеязыковой реальности.
Практический (перформативный) поворот в философии предложил совершенно иную перспективу изучения языка, во-первых, связав его с деятельностью, во-вторых, выведя за пределы трансцендентальных неподвижных структур и поместив в контекст конкретных языковых практик, в-третьих, взяв на основу не язык науки, а разговорный язык.
Появление понятия «перформативность» восходит к идее Д. Остина о различии между «констативными» и «перформативными» высказываниями в рамках теории речевых актов. «Среди философов, - отмечал он, - слишком долго было укоренено убеждение, что «утверждение» может только описывать положение вещей или «утверждать нечто о каком-либо факте», который при этом должен быть либо истинным, либо ложным». Согласно его концепции, перформативные речевые акты осуществляют действия, создают факты и устанавливают сущности и, следовательно, не могут оцениваться как истинные или ложные, но только как успешные или неуспешные. Однако впоследствии сам автор этой концепции отказался от вычленения перформативов только на основании их грамматической формы и пришел к выводу, что перформативность задается контекстом, а, следовательно, граница между двумя этими видами высказываний условна. В конечном итоге любое высказывание может быть расценено как действие, в котором реализуется определенный мотив ЯЛ.
Впоследствии ученик Д. Остина Д. Сёрл развил положения о перформативности языка в концепции конструирования социальной реальности. Социальная реальность представляет собой, по его мнению, преимущественно языковую реальность, а социальность сводится к языковому взаимодействию. «Какова роль языка в институциональной реальности? Я сказал, что нечто есть деньги, собственность или брак, только если люди думают, что это есть деньги, собственность или брак, но как могли бы они вообще иметь такую мысль, если бы у них не было языка? Более того, не является ли язык именно той разновидностью социальной реальности, которую мы пытаемся объяснить?».
Вводя в структуру речевого акта понятие «интенциональность», Д. Сёрл тем самым подчеркивает сугубо социальную природу речевой коммуникации. Предполагается, что наличие коммуникативной интенции, воплощаемой в желаниях, представлениях, намерениях говорящего, делает его субъектом коммуникации. Однако может ли ЯЛ в роли говорящего рассматриваться как единственный источник значения и, соответственно, как истинный субъект социального действия? Действенность того или иного высказывания, особенно если речь идет о собственно перформативных конструкциях, зависит не только от порождаемого смысла и намерений говорящего, но и от интерпретации слушающего, т.е. от коммуникативной ситуации в целом. «В большинстве случаев, - полагает Д. Сёрл, - буквальный смысл предложения или выражения задает условия истинности только при наличии набора фоновых допущений и практик».
Таким образом, от идеи речевого акта происходит переход к идее контекста или фоновых практик. Значение высказывания порождает не сам говорящий субъект, но вся совокупность допущений и практик, на фоне которых осуществляется тот или иной речевой акт. Так, Дж. Батлер и И. Сэджвик предлагают рассматривать гендер как непосредственный и перформативный дискурсивный акт, конструирующий соответствующую идентичность и чувственность символами и ритуалами благодаря постоянно повторяющимся исполнениям и переживаниям определенных схем действий самовыражения, воспроизводящих «телесный стиль» конкретных социокультурных смыслов и легитимирующихся в пространстве властных отношений. Перформативные жесты продуктивны, поскольку задают объекты, существование которых было бы невозможно вне рамок определенных социальных отношений. Следовательно, язык не просто символизирует, а конструирует ту или иную ситуацию, будучи ее неотъемлемым элементом.
В дальнейшем идея перформативности была распространена и на понимание процессов, происходящих в обществе в целом, реализовавшись также в понятии «перформанс». В качестве междисциплинарного концепта оно вошло в категориальный аппарат многих социально-гуманитарных наук. Исходный полисемантизм понятия, которое в переводе с английского может означать 1) исполнение, выполнение, свершение; 2) действие, поступок, подвиг; 3) представление, спектакль, породил и разнообразные варианты его толкования (гендер как социально сконструированное и исполняемое в социальном взаимодействии свойство (Дж. Батлер); социальный мир как театральная сцена, взаимодействие индивидов как игра, в которой участники открывают друг другу смыслы своих социокультурных ситуаций (социальная драматургия И. Гофмана); структурно сложное событие, раскрывающее культурные смыслы (культурная социология Дж. Александера). Однако аналогия с театральным представлением достаточно поверхностна, поскольку сам концепт «перфоманс» ориентирует не столько на развлекательность, зрелищность социальных событий, сколько на акцентирование социального действия.
Перформативность, понимаемая как способ производства социальности вербальными, паравербальными и невербальными средствами, позволяет избежать редукционизма при объяснении процесса дискурсопорождения. Контекстность дискурса, признаваемая его исследователями, весьма убедительно подчеркивается в дефиниции Н.Д. Арутюновой, согласно которой, дискурс – это «связный текст вместе с экстралингвистическими (прагматическими, социокультурными, психологическими и другими факторами). Это текст плюс событие. Это речь, рассматриваемая как социальное действие, производимое с определенной целью, как компонент, который участвует во взаимодействии людей. Дискурс – это речь, погруженная в жизнь». Но событие всегда вызывает определенные последствия явные или неявные. Следствием дискурса как перформативного действия является порождение определенных связей и отношений, характер и качество которых, по мнению К. Вульфа, зависят от того, «как люди в процессе деятельности размещают свои тела, какую телесную дистанцию выбирают, какую позу тела принимают, какие жесты используют», словом, в какой конкретный контекст погружен отдельный речевой акт. Признание перформативности дискурса позволяет рассматривать его как вид социального действия, а его исполнителя – носителя языка – как ЯЛ.
Концепт «жизненный мир»
Еще одним интегративным концептом, эвристическая ценность которого для изучения языковой коммуникации признана научным сообществом, является понятие «жизненный мир». Присущий ему полисемантизм не исключает, однако, единодушия в понимании общего исследовательского вектора, задаваемого им: движение от онтологии изолированного индивида к онтологии коммуникативного пространства в целом, того жизненного контекста, в котором протекает повседневная коммуникация. Принципиальная методологическая позиция, сконцентрированная в этом концепте, может быть сформулирована следующим образом: онтология «жизненного мира» противоположна классической гносеологической схеме «субъект – объект», онтологизированной в классической психологии и теории познания. «…обыденная «очевидность» отделенности живого существа от мира, - писал Ф.Е. Василюк, - не может служить исходным онтологическим положением, ибо мы нигде не находим живое существо до и вне его связанности с миром. Оно изначально вживлено в мир, связано с ним материальной пуповиной своей жизнедеятельности. Жизненный мир и является, собственно говоря, единственным побудителем и источником содержания жизнедеятельности обитающего в нем существа».
В русле такого подхода жизненный мир рассматривается как означенное и осмысленное пространство бытия человека, в котором сознание обладает порождающей силой. Сформулированная в психологии, эта идея не утрачивает своего значения применительно к другим гуманитарным наукам, ориентированным на изучение субъекта. Эвристическая ценность этого понятия, вовлеченного почти одновременного в сферу психологических (К. Левин), философских (Э. Гуссерль), социологических исследований (А. Щюц), была очевидна.
В философии Э. Гуссерля впервые произошел переход от структур индивидуального Я к интерсубъективности, т.е. к коммуникативным свойствам сознания, были заложены концептуальные ориентиры осмысления того, как возможно конституирование другого Я на основе опыта самосознания. Трансцендентальность субъективности Я с точки зрения феноменологии представляется как продукт конституирования трансцендентальным (в данном случае – языковым) сообществом, координируемым универсальными нормами (например, нормами языковой коммуникации). Интерпретация жизненного мира субъекта, который Гуссерль понимал как резервуар субъективного опыта, возможна только на основе предзаданного отдельному сознанию набора значений.
Введение в трудах «Картезианские размышления» и «Кризис европейских наук и трансцендентальная феноменология» концепта «жизненный мир» означало переход основателя феноменологии от своеобразной универсальной грамматики языка к постановке проблемы «другого Я» и обоснованию интерсубъективности «жизненного мира», обусловливающего взаимопонимание участников социальной коммуникации.
В работах последователей феноменологической традиции философема «жизненный мир» получила дальнейшее развитие. Наиболее известна социологическая трактовка «жизненного мира» как мира повседневности, предложенная А. Шюцем. В его понимании «наш повседневный мир с самого начала есть интерсубъективный мир культуры. Он интерсубъективен, ибо мы живем в нем как люди среди других людей, связанные с ними общим влиянием и работой, понимающие других и являющиеся для них объектом понимания. И это мир культуры, ибо с самого начала жизненный мир есть для нас универсум обозначений, т.е. смысловая сеть, которую мы должны проинтерпретировать, и мир смысловых взаимосвязей, которые мы устанавливаем лишь посредством нашего действия в этом жизненном мире». Жизненный мир, понимаемый таким образом, во-первых, отсылает к повседневному бытию, образующему фундамент культуры, а, во-вторых, дает возможность истолковывать социальную реальность через социальное действие как механизм интерпретации и согласования смыслов.
Философему «жизненный мир» в понимании, приближенном к трактовке А. Щюца, использует Ю. Хабермас в теории коммуникативного действия. Под коммуникативным действием немецкий философ понимает «взаимодействие как минимум двух способных говорить и действовать субъектов, вступающих в межличностные отношения; они ищут взаимопонимания относительно ситуации действия с целью координирования своих планов действия, а, следовательно, и своих действий. При этом в процессе (взаимной) интерпретации должна происходить выработка таких определений ситуации, которые могли бы привести к согласию (consensus)». Коммуникативному действию соответствует коммуникативная рациональность, ответственная за логическое обоснование индивидом своих высказываний.
Рассматривая условия достижения согласия в ходе коммуникации, Ю. Хабермас вводит и такой фактор, как жизненный мир, предполагающий «определенный запас культурных самоочевидностей, из которого участники коммуникации в своих интерпретативных усилиях заимствуют устраивающий всех образец истолкования». Помимо устоявшихся в культуре фоновых допущений содержание жизненного мира образуют такие факторы, как сплоченность групп, объединенных на основе определенных ценностей, компетенции индивидов в отношении традиций того или иного сообщества. Словом, конкретный коммуникативный акт происходит не только в определенной речевой ситуации, но и погружен в жизненный мир как заранее образуемый контекст действия.
Концепт «жизненный мир» соотносится Ю. Хабермасом с более широким понятием «мир». Под последним понимается формальный конструкт, который участники интеракции используют в качестве определенной системы отсчета в том случае, если хотят добиться взаимопонимания. Смысл такого согласования заключается в том, чтобы определиться на какую именно сферу «мира» направлена коммуникация, чтобы реализовать это в адекватных формах. Ориентированность языковой коммуникации возможна в трех направлениях: к объективному миру, когда речь используется для передачи информации; к социальному миру – для установления межличностных отношений, регулируемых нормами; к субъективному миру – для самопредставления своего внутреннего состояния, своих переживаний. «Таким образом, - заключает Ю. Хабермас, - согласие в повседневной коммуникативной практике может опираться одновременно на разделяемое несколькими субъектами пропозициональное знание, на согласие в нормативном плане и на взаимное доверие».
Однако констатируемый исследователями медиальный сдвиг в системе культурного и социального обмена внес существенные изменения в интерпретацию онтологического статуса социальной реальности. Она перестала быть некоей гомогенной системой интеракций, фундированной набором определенных культурно-символических констант (язык, верования, познавательные институты), а превратилась в сложную мозаику, сконструированную из различных видов реальности, границы между которыми размыты и далеко не всегда осознаются самими субъектом.
Возникновение нового типа реальности – «пространственно-временного континуума медиа» - привело к изменению, по выражению С. Жижека, «герменевтического горизонта нашего повседневного опыта». «Этот опыт, - отмечает упомянутый автор, - базируется на трех дихотомических принципах: разграничении «настоящей жизни» и ее механической симуляции; объективной реальности и ложного (иллюзорного) ее восприятия; мимолетных аффектов, чувствований, эмоций и т.п. и незыблемого стержня моего «я». Границы между каждой из этих пар находятся сегодня под угрозой размывания».
Неслучайно в постмодернистской философии, радикально выразившей трансформационные процессы социальной реальности, концепт «жизненный мир» утрачивает свое методологическое значение. Ему на смену приходят такие понятия, как гиперреальность (Ж. Бодрийяр), «мир спектакля» (Г. Дебор), новый парящий мир (К. Герген). Смысловой доминантой становится идея трансформации под влиянием глобальных масс-медиа мира культуры в мир оторванных от реальности форм, которые заменяют «агонизирующую» реальность.
Один из наиболее известных вариантов интерпретации этих трансформаций представляет теория гиперреальности Ж. Бодрийяра. Сложившаяся система культурных представлений утрачивает связь с реальностью, на смену которой приходит гиперреальность, заполненная симулякрами, т.е. знаками реальности, псевдовещами. Согласно Бодрийяру, утрата связи между реальностью и образами, репрезентирующими ее, происходит последовательно по мере отдаления кодов от референтов: от искажения объективной реальности через маскировку ее отсутствия к полной подмене объектов реальности симулякрами. Следствием этого является радикальное изменение отношений человека с миром: в бытии, где стерты границы между «словами» и «вещами», уже нет смысла адресоваться к «реальным» объектам.
Американский социальный психолог К. Герген, констатируя распад реальных сообществ, утрату глубины отношений «лицом к лицу», центрированного, согласованного ощущения себя, моральных предписаний, и «выкорчевывание» смысла из материального контекста, называет этот феномен «отсутствующее присутствие». «Новый парящий мир» - это та квазиреальность, которая облегчает отсутствующее присутствие. «Парящая реальность» - это не замена «жизненного мира» в целом, а результат его видоизменения, трансформации вследствие появления нового типа реальности, конструируемого с помощью средств массовой коммуникации.
Герген отмечает противоречивость эффекта «парящей реальности», проявляющегося в повседневности. С одной стороны, превращение жизненной рутины в чудо (есть некое отдаленное созвучие с концептом тайны в теории координированного управления смыслообразованием Б. Пирса - В. Кронена), с другой – обесценивание обыденности, подменяемой отсутствующим присутствием.
Соединяя принцип перформативности с идеей «жизненного мира» при изучении дискурсопорождения ЯЛ, жизненный мир можно рассматривать и как условие, и как результат социального действия (в данном случае -дискурса). Это объясняется тем, что, с одной стороны, жизненный мир является контекстом, в котором накапливается запас общепринятых социальных установок и знаний, а, с другой стороны, его становление и утверждение обеспечивается социальными действиями. Жизненный мир ЯЛ, соответственно, представляет своеобразное хранилище коммуникативного опыта индивида, а степень его богатства, разнообразия, эмоциональная окрашенность влияют на особенности ее коммуникативной деятельности.
Субъект как носитель языка
В контексте данного исследования особое значение имеет выявление статуса ЯЛ как субъекта порождения дискурса. Долгое время «человек» и «язык» как предметы познания существовали раздельно. В традиционной рационалистической трактовке, восходящей к картезианскому принципу «Cogito ergo sum», человек понимался как абсолютный субъект своих действий, существовавший вне того или иного типа дискурса, речи как действия и внеположенный по отношению к миру языка. Принципиальная мыслимость субъекта и его тождественность своему мышлению в качестве критерия существования означали совпадение субъекта с самим собой, неизменную субъектность его действий и актов сознания. В отличие же от мышления язык понимался не как фактор, конституирующий субъекта, но только как средство выражения мысли. Картезианский субъект сообщался с миром объектов и с самим собой посредством мышления, но без посредства языка. В философии XX в. статус субъекта как центра онтологической конструкции и эпистемологической модели был существенно проблематизирован.
Однако в классической лингвистике, основателем которой считается Ф. де Соссюр, непосредственно человек говорящий (языковая способность и ее реализация) не попадает в фокус исследования, хотя явно прослеживается его участие как скрепляющее присутствие в этой конструкции. Следует отдать должное, что, рассматривая в первую очередь структуру и систему языка, позднее Ф. де Соссюр перешел к предположению, что язык - это «система знаков для выражения мыслей...». Но связь языка с мышлением трактовалась им как параллелизм речевых и мыслительных процессов. Р. Якобсон определяет языковую систему де Соссюра «как статическую, унифицированную систему обязательных правил» и «предельно упрощенным и искусственным конструктом».
Интерес к человеку как к носителю языкового сознания и способности речевой деятельности зарождается в лингвистике, а точнее – на стыке лингвистики и философии. Впервые тематизация субъекта высказывания обозначилось в теории Э. Бенвениста. Основываясь на различении высказывания-результата (nonc) и высказывания как акта производства (nonciation), он указал на необходимость дифференциации говорящего (locuteur) как реально существующего и осуществляющего акт говорения и субъекта высказывания (nonciateur), т.е. того, кто обретает существование только в акте говорения, представляя собой «реальность речи». Субъект речевого акта присваивает формы языка и соотносит их со своим Я, а адресата высказывания с Ты. Следовательно, с позиций структурализма, язык – это не только инструмент коммуникации, но и средство конструирования лица. Представляется, что теория высказывания будто бы возвращает нас к идее картезианского субъекта как «хозяина собственной речи». Но в лингвистическом анализе Бенвениста и его последователей человек говорящий только явлен в речи, но отнюдь не ее субъект.
В целом, структуралисты следовали гипотезе Сепира — Уорфа, суть которой состоит в обосновании определяющей роли языка в конструировании моделей сознания. В трудах участников французского теоретического журнала «Tel Quel» (Р. Барт, Ж, Батай, Ю. Кристева) эта позиция была доведена до своего логического завершения и увенчана тезисом о тождестве языка и сознания.
Тематизация субъектности в структурализме была связана, прежде всего, с идеей детерминированности человеческого существования общественно-экономическими, языковыми, бессознательными и идеологическими структурами, о его несамостоятельности, о существенной непрозрачности сознания для себя самого. Таким образом, субъект уже рассматривался не как источник порождения дискурса, а оказывался на периферии этого процесса, если вообще не растворенным в надличностных социальных структурах.
Наиболее радикальный вариант проблематизации субъекта был предложен представителями постструктурализма и закреплен в ряде таких философем, как «смерть субъекта», «смерть автора», «смерть человека». Интерес представителей философского постмодернизма к неустоявшимся значениям, размывание субъект – объектной оппозиции и установка на ацентризм привели к явлению, названному Дж. Уардом «кризисом идентификации». По мнению М. Фуко, субъект является функцией, производной от высказывания, набором переменных высказывания, и эта функция представляет собой место, меняющееся в зависимости от взаимоотношений семантических сил. Для М. Фуко «субъект – это анонимное единообразие, которое навязывает дискурс всем индивидам, участвующим в этом дискурсе».
Объясняя свою идею о том, что «внетекстовой реальности не существует», Деррида указывает, что «выдвигать тезис, согласно которому не существует абсолютного вне-текста, – это не значит постулировать идеальную имманентность, непрерывное восстановление отношения письма к самому себе.... Если вне текста ничего нет, этим предполагается, что... сам этот текст оказывается уже не закрытым в себе нутром некоего внутреннего пространства или самотождественности..., а иным расположением эффектов открытости и закрытости», т.е. речь идет о «размыкании» контура текста, обращении его против любой трансцендентности.
Логическим продолжением текстоцентризма стало размывание границ дискурса, подчинение ЯЛ таким надличностным структурам, как язык, идеология, бессознательное. Сознание личности предлагалось воспринимать как сумму текстов. А поскольку «ничего не существует вне текста», то и любой индивид неизбежно находится внутри текста, что ведет к «смерти субъекта», через которого «говорит язык» (М. Фуко). Трансформация субъекта в текст исключало отношение его к себе как к чему-то устойчивому, существующему автономно от мира знаков.
В контексте социальной онтологии проблематизация статуса субъекта возвращает к дискуссии о природе социальности, развивавшейся в трех направлениях: 1) социальное как надличностное, навязываемое человеку в виде определенных правил деятельности, тогда неизбежно подавление и поглощение человека социумом (структурализм, структурный функционализм); 2) социальное как нечто уникальное, существующее только в людях (жизненный мир личности), следовательно, субъект как единственно возможный носитель социальности сам задает и определяет содержание и границы разных социальных форм и, что самое важное, свое отношение к ним, способ интерпретации своего жизненного мира (социальный конструктивизм, феноменологическая социология); 3) социальное как определенная структура, выраженная через систему взаимодействий индивидов, обладающих способностью к символическому производству, а также между индивидами и продуктами социума (теория социального действия Ю. Хабермаса, теория структурации Э. Гидденса, генетический структурализм П. Бурдье).
Частичное совмещение различных трактовок природы социальности позволяет наметить несколько основных позиций, определяющих последующий анализ ЯЛ с точки зрения становления субъектности. Во-первых, давление социума на индивида имеет свои пределы, задаваемые целым рядом факторов, начиная с особенностей протекания психических процессов, среди которых у взрослого человека доминируют произвольные, подконтрольные ему процессы памяти, внимания, мышления, и заканчивая сферой высших духовных ценностей, образующих автономный внутренний локус контроля поведения (в том числе и речевого) индивида. Во-вторых, уникальность внутреннего социального опыта (жизненного мира) индивида относительна уже в силу того, что обусловлена внешними формами социальности. Свобода интерпретации субъектом различных социальных отношений ограничена определенным набором правил, критериев, диапазоном оценок, формирующихся в сфере интерсубъективности и не являющихся исключительно индивидуальными и неповторимыми. В-третьих, следует признать, что есть уникальный жизненный мир индивидуума как носителя языка (мир языковой личности), а есть общие миры (интерсубъективность, область языкового сообщества), и их взаимодействие осуществляется через взаимное языковое конструирование ценностно-смыслового пространства.
Выводы к главе I
1. Концепт «языковая личность» - это интегративное трансдисциплинарное понятие, обозначающее как личность с точки зрения ее отношения с миром, выраженным в языке, так и отдельного субъекта, носителя языка, обладающего собственным, накопленным в процессе языковой коммуникации опытом.
2. Языковая личность формируется при взаимодействии нескольких фундаментальных онтологических факторов - социальной реальности как совокупности объективных условий жизни членов общества, социальной коммуникации как способа их взаимодействия и языка как важнейшей знаковой системы, институционализированной обществом. Это фактически означает признание ЯЛ онтологической категорией.
3. Поскольку языковая личность – сверхсложный феномен, то модель ЯЛ предполагает многоаспектность, многоструктурность и многоуровневость. Эти принципы реализованы в различных моделях ЯЛ, разработанных в языкознании и других социально-гуманитарных науках и отвечающих решению конкретных исследовательских задач, но вместе с тем содержащих такие инварианты, как признание: языковой способности как исходной основы формирования ЯЛ; языковой деятельности как ключевого фактора формирования ЯЛ. С точки зрения социально-философского подхода ЯЛ рассматривается как единство социально-культурной основы, индивидуального дискурсопорождения и внутренней системы ценностей.
4. Накопленный в современном социально-гуманитарном знании опыт концептуализации проблемы субъекта как носителя языка оформился в целом ряде парадигм и концептов, представляющих инструментальную ценность для дальнейшего изучения феномена языковой личности в контексте социально-философского исследования.
5. Рассмотрение ЯЛ в социально-философском ракурсе с учетом сложившейся парадигматики (парадигмы социального конструктивизма и перформативности) позволяет расширить рамки традиционного понимания ЯЛ как участника социально-языкоаой коммуникации, которая понимается как совокупность языковых практик, реализующихся в определенных коммуникативных ситуациях, с учетом конкретного социально-культурного контекста.
6. Введение концепта «жизненный мир», а также осмысление различных вариантов его трансформации в современном обществе, равно как и учет эволюции субъекта речевой деятельности в условиях новой коммуникативной реальности позволяют рассматривать взаимодействие двух ЯЛ в рамках более широкого контекста – функционирования языкового сообщества, вклад которого в конституирование условий языковой коммуникации должен обязательно учитываться.
ГЛАВА II. ЯЗЫКОВАЯ ЛИЧНОСТЬ В ПРОСТРАНСТВЕ КОММУНИКАТИВНО-ЯЗЫКОВОЙ РЕАЛЬНОСТИ
Социально-онтологические основания становления языковой личности
Интерес к ЯЛ в современном социально-гуманитарном знании –проявление сложившейся устойчивой лингво-антропоцентрической тенденции, возникшей в науках о языке (социолингвистика, лингвоперсонология, лингвокультурология), философии языка (теория речевых актов, концепция языковых игр), социологии (социальный конструктивизм) во второй половине XX века. Однако поскольку заданные указанными направлениями логико-гносеологические рамки не предполагают изучения ЯЛ как субъекта общения и деятельности, необходимо обратиться к рассмотрению личности носителя языка в более широкой социально-философской перспективе.
Новые координаты исследования ЯЛ, реализующей свою языковую способность в дискурсивном пространстве социума, участвующей в порождении дискурса, способной контролировать информацию, обусловлены и тем, что традиционный способ понимания социального как надындивидуального, метафизически первичного и рационально организованного начала сменяется новым концептом. С одной стороны, отчетливо обозначился переход от субстанциальной к релятивной интерпретации природы социального. В фокусе исследования оказываются не сами социальные сущности, а отношения между ними и, следовательно, участники этих отношений или субъекты социальных действий. При этом предполагается, что последние, находясь в поле пересечения различных частных горизонтов, подчиняются их игре. «Не агенты играют, - отмечает Е.В. Зинченко, - а горизонты, возникшие «раньше» самих агентов, играют агентами. Теперь уже не агенты выступают субъектами игры, а структура взаимодействий горизонтов подчиняет агентов, делая их сознательные намерения и волевые решения вторичными по отношения к игре горизонтов». По образному выражению Р. Харрэ и Г. Жиллета, на смену традиционной онтологии Ньютона (онтологии физического мира) пришла новая дискурсивная «онтология Выготского», локализованная в сфере социальных сообществ, где господствуют вероятностные зависимости, правила и нормы диалога.
С другой стороны, распространенным становится неосубстанциализм, уходящий истоками в текстоцентричную парадигму бытия в структурализме (постструктурализме). При таком подходе онтология социального взаимодействия локализуется в пространстве семиотики. Своеобразие природы знака заключается в его субстанциональности и, следовательно, доступности нашим органам чувств в соответствии с традиционными эмпирическими критериями, но одновременно и в реляционности, поскольку смысл знака возможен только в пространстве отношений и взаимодействий.
Современные парадигмы социальности, не исключая участия субъектов социальной коммуникации в конструировании социальной реальности, в то же время в большей степени сосредоточены на исследовании законов социального взаимодействия в сфере интерсубъективности или ее знаково-символическом воплощении. Смещение исследовательских акцентов в сторону социальных отношений, сердцевиной которых является коммуникация, сохраняет возможность трактовки ЯЛ как просто носителя языка, агента, но не субъекта социального дискурса.
ЯЛ как носитель субъектного начала, оказывается предметом анализа ряда лингвистических дисциплин. Но в этом случае социальность превращается в набор отдельных характеристик (национальность, пол, социальный статус), релевантных задачам, решаемым в рамках конкретного исследования, либо психологизируется.
Суть заявленной проблемы заключается в том, чтобы рассмотреть ЯЛ как особый социальный феномен, акцентировав внимание сначала на социально-онтологических основаниях и границах ЯЛ, а затем на специфике ее языковой деятельности, реализующейся в социальном дискурсе.
К универсальным онтологическим константам, которые являются объективными условиями формирования ЯЛ, можно отнести язык как знаковую систему, используемую в качестве средства установления взаимоотношений человека с другими людьми; языковую коммуникацию как процесс информационного взаимодействия между людьми, культуру как набор устойчивых форм и кодов человеческой деятельности, составляющих содержание коммуникации, а также языковое сообщество как коллективного носителя языка.
Единство указанных оснований образует коммуникативно-языковую реальность как часть социальной реальности, которая охватывает все, что выражено в языке. Ее основными чертами являются, во-первых, объективность, предзаданность отдельному носителю языка. Во-вторых, интерсубъективность, т.е. общее для всех субъектов пространство, особенностью которого является то, что оно создается конститутивными действиями многих отдельных «Я» как дискурсивно оформленная субъектами реальность. В-третьих, субъективируемость реальности в языковом сознании индивидов в процессе освоения, употребления, осмысления знаково-символических форм и культурных кодов, наполняющих ее содержание.
Вхождение индивида как носителя языка в коммуникативно-языковое пространство, т.е. способность взаимодействовать с другими участниками языкового сообщества предполагает, во-первых, совместное пребывание социальных индивидов, во-вторых, наличие общего коммуникативного кода (языка), в-третьих, включенность в процесс коммуникации. Социальность коммуникативно-языкового пространства может быть представлена как структура знаковых отношений между языковой личностью и языковым сообществом.
Отношение «Я» - «Другой» (в контексте данного исследования языковая личность - языковое сообщество), возникающее в процессе взаимного конституирования коммуникативно-языковой реальности, имеет определенные особенности. Прежде всего, их субъективность неравнозначна. Если индивид как носитель языка является выражением субъективности в прямом смысле этого слова, то описание сообщества как субъекта – это его опосредованная, обобщенная характеристика. Во-вторых, неравноценен их социально-онтологический статус. Языковое сообщество как коллективный Другой предпослано отдельному человека во времени и в пространстве и уже включает те культурно-языковые коды, которые индивид еще должен освоить в процессе становления как ЯЛ. Поэтому взаимопорождение ЯЛ и ЯС коммуникативно-языковой реальности первым агентом социальной коммуникации происходит по мере усвоения и освоения культурно-языковых кодов, то есть активно, а вторым – по мере аккумуляции в коллективном языковом сознании продуктов языкового творчества отдельных языковых личностей, то есть пассивно.
Формирование ЯЛ можно, таким образом, рассматривать через взаимодействия, реализуемые в системе отношений индивид-сообщество в следующих направлениях: 1) между языком как надличностной системой, оказывающей влияние на структурирование языковой личности, и его носителем; 2) между языковым сообществом как воплощением коллективного языкового сознания и отдельной языковой личностью, обладающей индивидуальным языковым сознанием; 3) между языковыми личностями как участниками диалога, протекающего «здесь и сейчас».
Каждое из указанных направлений отражает противоречивый характер взаимодействия и фиксирует следующие противоречия.
Во-первых, язык структурирует языковое сознание носителя языка, но сам порождается, развивается, изменяется только в результате общения его носителей. Как отмечает А. Мартине, любые языковые изменения происходят внутри индивида. Язык же, по сути, представляет собою «совокупность миллионов микромиров» говорящих на нем субъектов. У. Вайнрайх, размышляя о языковых контактах, полагает, что «местом осуществления контакта являются индивиды, пользующиеся языком». Следовательно, формирование ЯЛ осуществляется как диалектическое единство субъективизации индивидом объективно заданных языковых форм и их последующего объективирования в субъективно преобразованном виде, т.е. переход языка из внешнего по отношению к индивиду языкового пространства в пределы его индивидуального сознания, а затем вновь вовне.
Во-вторых, язык структурирует социум, но сам индифферентен к социальным проблемам и используется обществом как средство, позволяющее формировать как системные особенности национального языка, так и индивидуальные варианты, присущие каждому отдельному его носителю. Сфера социокультурной реальности, ограничивающая отличный от языковых круг реальных общественных отношений, входит в сознание индивида посредством языка и закрепляется в виде социально конструируемых концептов. Многообразие дискурсивных практик, богатство культурно-символического содержания социума, манифестируемые в языке, создают предпосылки для формирования полисубъектности как сферы объединения и пересечения дискурсивного опыта отдельных ЯЛ. Интегрирующая власть языкового сообщества, определяющая базовые детерминанты многообразных социальных дискурсов, реализуется через дифференциацию языковых практик как отдельное языковое со-бытие языковой личности и языкового сообщества
В-третьих, язык как система относительно независим от своего звукового воплощения в речи, но индивидуализированные формы его экспликации в дискурсах, порождаемых языковыми личностями, предопределяется целым рядом универсальных лингвистических факторов от правил синтаксиса до норм речевой коммуникации. В процессе языковой коммуникации отдельные ее участники (ЯЛ) выступают по отношению друг к другу условиями взаимодействия, будучи, с одной стороны, носителями объединяющих их коллективных языковых кодов, а, с другой, индивидуального личностного опыта. Соответственно, формирование ЯЛ осуществляется как диалектическое единство индивидуального начала, содержащегося в речи отдельных носителей языка, и коллективного, отраженного в используемом ими языке.
Субъективация- объективирование
Выстраивание личности посредством языка начинается с закладывания через систему личных местоимений таких фундаментальных структур, как субъектность самого носителя языка и признание Другого как субъекта коммуникации, языковая картина мира как результат специфичного способа его концептуализации в языке, система семантического распознавания (код, словарь), необходимый для успешной коммуникации. Идея о том, что именно язык определяет границы ЯЛ, афористично выраженная ранним Л. Витгенштейном в виде следующего высказывания: «И то, что Мир — это мой Мир, обнаруживается в том, что границы речи, единственной речи которую из всех я понимаю, указывают на границы моего Мира», легла в основу ряда концепций, авторы которых исследовали зависимость индивидуальной психики от языка как надличностной системы. Общими моментами таких теорий, развивавшихся в русле лингвоцентризма, являются: 1) поиск универсальной формулы соотношения языковых фактов с явлениями психическими и психологическими (фактами восприятия, памяти, мышления, социального поведения, с видением мира, типичным для культурного сообщества) и 2) выявление каузальной природы существующих между ними связей.
Обосновывая принцип изоморфизма языка и сознания, А.А. Потебня отмечал, что «акт сознания субъекта выступает в качестве производного от языковой структуры, которая объективна и не зависит от индивидуальных свойств личности и понимание которой обусловлено принадлежностью к одному и тому же народу».
Положения, созвучные идеям российского филолога, были развиты в концепции лингвистической относительности Э.Сепира - Б.Уорфа. Авторы этой гипотезы предприняли попытку ее эмпирического обоснования (на примере сравнения английского языка и языка индейцев хопи) и в результате пришли к выводу, что язык – это способ выражения социальных миров разных социальных групп. «Миры, в которых живут различные общества, – писал Э. Сепир, - это разные миры, а вовсе не один и тот же мир с различными навешанными на него ярлыками». Обосновывая сильную версию этой гипотезы (структура лексики, грамматика – это причина наших представлений и мышления), Б. Уорф ввел положение о тождестве языка и онтологии (картины мира). Согласно такой логике, следует признать сосуществование множества реальностей, соответствующих различным языкам, и в итоге прийти к противоречащему действительности выводу, что коммуникация между различными языковыми сообщества невозможна.
Сказанное не отменяет слабой версии данной гипотезы, относительно того, что лексика и грамматика влияют на представления, коррелируют с ними. Действительно, структура социального бытия детерминирована системой языка и законами организации речевой деятельности. Фиксация в языке моделей повседневного бытия отображается в виде обобщенных значений, придающих сложившимся социальным отношениям характер естественности, самоочевидности.
Верификация гипотезы Сепира-Уорфа проводилась в рамках различных исследований (социологических, социально-психологических, социально-лингвистических), связанных с изучением особенностей формирования языковой личности билингва. Так, О.С. Хряпченкова, прибегнув к эмпирическим исследованиям возможной корреляции между экологической компетенцией респондентов-билингвов и языком ответа, пришла к выводу об отсутствии определенной связи между языком вопроса и ответом (что опровергает сильную версию гипотезы Сеира-Уорфа), Вместе с тем указанный автор заключает, что ответы в известной степени обусловливаются языком контекста. И в этом смысле английский язык проявил себя особенно сильным (в отличие от немецкого, французского, итальянского). При этом отмечается, что «не сам язык, а в гораздо большей степени - его импликации, связанные с ним в сознании индивида ассоциации (внеязыковой аспект) обусловливают позицию человека и, соответственно, его ответ».
Интересные данные приводит Chi-yue Chiu, ссылаясь на эмпирические исследования, осуществленные рядом авторов и показавшие, например, что китайско-английские билингвы в Гонконге использовали больше социальных и демографических понятий для описания себя на китайском языке и преимущественно категории, отсылающие к личным качествам, отношениям, - на английском языке. Это объяснялось преобладанием коллективистских ценностей в китайском национальном сознании и индивидуалистических – в западном. Однако приведенные тем же автором выводы относительно взаимосвязи некоторых особенностей грамматики ряда языков (например, обязательное или необязательное использование личных местоимений как свидетельство преобладания индивидуалистических/коллективистских ценностей в национальной культуре) представляются несколько поспешными, поскольку требуют более масштабных исследований этой проблемы.
Как видим, современные исследования свидетельствуют в пользу слабой версии гипотезы Сепира-Уорфа. Действительно, язык способен кодировать и транслировать определенный накопленный обществом социальный опыт, формируя тезаурус языковой личности. Вместе с тем рассмотренная лингвистическая модель отношений язык - языковое сообщество не позволяет ответить на существенный вопрос, почему люди говорят, т.е. производят тексты и оперируют ими, поскольку из нее исключен нелингвистический источник – сам человек «в функции творца, способного создавать новое, непредсказуемое и неповторимое».
Кроме того, было бы серьезным упрощением полагать, что образ социальной реальности дан индивиду в готовом виде (хотя, как было показано в структурализме, в традиционных обществах он действительно отличается большей стабильностью и универсальностью), а не формируется в процессе коммуникации. А поскольку члены разных сообществ, в принципе, способны достичь понимания в общении друг с другом, то следует признать, что правила структурирования мира с помощью языка отступают перед правилами коммуникации. Следовательно, конструируемые в разных сообществах правила общения соотносимы друг с другом.
Вариантом лингвоцентричного подхода к проблеме соотношения языка и психики субъекта является структурно-семиотическая концепция субъективности Ж. Лакана, представителя французской ветви психоанализа. Базовым принципом лакановской концепции субъективности является идея языкового детерминизма, т.е. признание того, что не существует субъекта, независимого от языка. В «Стадии зеркала» он утверждает, что субъекта отличает способность к речи, т.е. человек – это «говорящий» субъект, констелляция знаковых отношений. Отталкиваясь от критики cogito Декарта как воплощения превосходства сознания над совокупностью человеческого опыта, Лакан усматривает критерий достоверности бытия субъекта в бессознательном, доступном через анализ языка.
Вторым важным аспектом понимания природы соотношения языка и субъекта Лаканом является признание имманентности нашей субъективности языку и, следовательно, невозможности метаязыка. Люди неизбежно представляют себя посредством языка, а все взаимоотношения с другими реально воплощаются только как языковые. В отличие, например, от Ф. де Соссюра, как, впрочем, и других лингвистов, мысливших язык как нечто внешне противостоящее индивиду, Ж. Лакан отношения между языком и субъектом рассматривал как полную погруженность индивида в язык.
Симбиоз идей психоанализа и структурализма в концепции субъективности Лакана, находит выражение в понимании им двух параллельных функций языка. Во-первых, язык конституирует саму позицию субъекта. Зарождение субъективности происходит тогда, когда желания индивида переводятся в символический план и воплощаются в языке. «Этот момент, - писал по данному поводу Ж. Лакан, - когда желание становится человеческим, совпадает с моментом, когда ребенок рождается в языке». Слово, замещая вещную реальность, образует непрерывный символический порядок, «своего рода мельничное колесо, при помощи которого человеческое желание беспрестанно опосредуется, возвращаясь в систему языка». Во-вторых, язык, будучи инструментом регулирования социального порядка, воспроизводит его в символической форме. Ссылаясь на структуралистские идеи К. Леви-Стросса о внутренней упорядочивании брачно-семейных отношений, систем родства по аналогии со строем языка, Ж. Лакан усматривает идентичность обеих структур, отмечая мощный эффект именования в процессе закрепления предпочтений и запретов.
В постструктуралистской версии лингвоцентризма (текстоцентризм, дискурсоцентризм) нарастает тенденция к подчеркиванию репрессивной функции языка как источника власти. Язык осуществляется в форме дискурсивных стратегий, на службе у которых оказывается индивид в силу самого факта употребления языка, и которые в совокупности образуют первичный уровень принуждения. «Система категорий — это система способов конструирования бытия» (Ж. Деррида).
Как видим, при различии некоторых переменных в моделях взаимосвязи языка и его носителя в рамках лингвоцентричной парадигмы (язык – психика индивида-носителя языка у Потебни, язык – языковое сообщество в гипотезе Сепира-Уорфа, язык – бессознательное – субъект у Лакана, социальные дискурсы – субъект в постструктурализме) язык остается неизменным фактором конституирования языковой личности или языкового сообщества. Несмотря на стремление авторов этих концепций уйти от гипостазирования языка и превращения его в некую надличностную сущность, в каждой из них отдельный человек как носитель языка, как субъект речевой деятельности или вообще исключается из системы отношений, растворяясь в структурах языка, опосредованных сферой социума (гипотеза Сепира-Уорфа) либо областью бессознательного (теория субъективности Лакана), или сводится к совокупности психологческих свойств (лингво-антропологическая доктрина А.А. Потебни). Вместе с тем остается открытым вопрос, как именно возможны овладение индивида языком и почему в процессе «субъективного психологического наполнения» языкового знака языковые знания по-разному репрезентируются в сознании каждого человека.
Абсолютизация определяющей роли языка в становлении языковой личности преодолевается в парадигме конструктивизма, в частности, в его умеренном варианте – концепции взаимосвязи языка и мышления Л.С. Выготского. Язык является данностью, которую индивид застает в раннем онтогенезе и посредством которой включается в систему социальных отношений. По отношению к отдельному человеку он используется языковым сообществом как средство конструирования определенной социальной реальности и как инструмент воздействия на индивида в начале его социализации. Однако объективная предзаданность индивиду знаков языка, образующих определенные структуры, по мере освоения языка его носителем, сочетается с отбором, осуществляемым самим человеком в процессе их интериоризации, т.е. психологического отбора внешних стимулов, осуществляемого в последовательности знак – значение – значимость, т.е. соотнесенность конкретного знака с другими в рамках языковой системы.
Согласно Л.С. Выготскому, в естественном языке слова обладают общепризнанными значениями, но в индивидуальном сознании за ними закрепляются субъективные смыслы. При этом процессы усвоения семантики и материальной стороны слов асинхронны: раньше и быстрее усваивается физическая форма знака, а настройка механизмов адекватной языковой репрезентации гораздо более длительна и сложна.
Образно говоря, слово – это сосуд, который индивиду дается готовым, но наполнение его содержанием – процесс индивидуальный. Следовательно, психологическое содержание одних и тех же знаков у конкретных носителей языка несколько отличается, т.е. за одними и теми же словами у разных носителей языка скрываются различающиеся субъективными нюансами смыслы. Исходя из сказанного, логично предположить, что усвоение не только слов, но и других лингвистических единиц (фраз, грамматических форм и структур, синтаксических моделей) связано с оформлением их своеобразного внутреннего видения. Концепция Л.С. Выготского, имея богатый эвристический потенциал с точки зрения исследования речемыслительных процессов, оставляет, однако, за пределами сам процесс взаимодействия носителя языка и языкового сообщества, взятый в контексте более широком, чем развитие когнитивной сферы личности.
Определение языка как системы, обладающей в отношении индивида причиняющей силой, равно, как и психики – как органа отбора, как решета, «процеживающего» мир и изменяющего его так, чтобы можно было действовать, субъективно искажающего действительность в пользу организма» метафоричны. Не язык сам по себе определяет сознание ЯЛ, и не сознание отдельных индивидов определяет язык (язык – это надличностная, объективная система знаков, правил, норм). Психологическое содержание и особенности функционирования в речевой коммуникации ЯЛ структур языка представляют собой их субъективированные в индивидуальном языковом сознании формы. «Субъективизация, - по мнению французского исследователя Б. Дорэ, – это не что иное, как процесс отфильтровывания, сдерживания и отображения того, что в индивиде имеется противоречащего его «самости» или, наоборот, ей соответствующего».
Сформировавшаяся субъективная сфера ЯЛ, как было показано, например, в ряде социально-психологических исследований, по конструированию аттитьюдов посредством дискурсивной практики (например, две группы писали эссе о смертной казни: одна с использованием лексики с негативной коннотацией, другая – позитивной) в ходе эксперимента обнаружила восприимчивость к этим смысловым «инъекциям». Отношение к смертной казни, высказываемое испытуемыми после теста, изменилось в зависимости от того, какую лексику – положительную или отрицательную – им нужно было задействовать в своем эссе. Однако спустя шесть дней, констатировали авторы работы, восстановились прежние установки.
Смыслы используемых слов, доступные на уровне лексикона, но не укорененные в субъективном опыте ЯЛ, оказались неустойчивыми, не личностными смыслами. Личностный же смысл, пользуясь терминологией А.А. Леонтьева, включает в себя «единство знака, образа и эмоционального отношения». Нагруженность языкового знака образно-эмоциональными ассоциациями, возникающими не только в результате познавательной деятельности ЯЛ, но и в ходе общественной практики в широком смысле слова, отражает жизненный опыт индивида, оформляющийся в систему личностных смыслов. Она начинает формироваться уже на первом, по мнению Ю.Н. Караулова, неличностном уровне структуры носителя языка (лексика, грамматика), тем самым закладывая субъективность как основу личностности. По мере развития высших уровней ЯЛ (тезаурусного и прагматического) происходит расширение и обогащение области личностных смыслов носителя языка.
Таким образом, одним из важнейших аспектов становления языковой личности является овладение сферой языковых смыслов, под которым следует понимать как освоение смысла, так и смыслопорождение. Заполненное смыслами пространство социальной коммуникации – одно из объективных условий формирования языковой личности.
Объективация личностных смыслов происходит в процессе языковой коммуникации, когда носитель языка, с одной стороны, соотносит личностный смысл с закрепленным в языке, а, с другой, материализует в речи новый смысл. «Язык – пишет В.А. Колчина, - это мера установления смыслов событий, а языковая личность – это субъект, устанавливающий смысл и выражающий его в речи. Совместность субъективного и объективного раскрывается на границе социального во взаимном касании как выписывание «тела-смысла» через «точку Мы», предъявляя пограничное существование социальных конструктов «Я», «Другой», обнаруживающихся на пределе смысла. Конструирующая деятельность смысла как социального бытия осуществляется «между» этими понятиями.
Диалектика процессов субъективации – объективации определяет формирование языковой личности, в которой воплощается индивид как «элемент культурной ткани» и как реальный, живой носитель языка. Таким образом, языковая личность становится средостением культурных и языковых сфер: в ней опредмечивается «душа языка» и мировидение человека. С нее начинаются и на ней замыкаются культурологические и языковые процессы. Воздействие культуры на язык осуществляется через языковую личность. Но и обратное движение своим рычагом имеет языковую личность.
Интеграция - дифференциация
Тема языка (текста, дискурса) как господствующей в обществе силы, не только структурирующей, но и подавляющей личность носителя языка, находит свое наиболее развернутое воплощение в поструктуралистской традиции (М. Фуко, Ю. Кристева, Ж. Деррида, Ж. Делёз), плавно эволюционировавшей из структурализма. В контексте данного исследования наибольший интерес представляют два аспекта философии поструктурализма, точнее два ракурса проблемы статуса субъекта: тотальность социального дискурса как единства языковой и социальной структуры и, как следствие, децентрализация субъекта дискурса, его мозаичность в реальности, заполненной дискурсами. Неэксплицированность в поструктурализме концепта «языковая личность» не исключает возможности использования понятийного интструментария этого направления, поскольку субъективность является неотъемлемым аспектом языковой личности.
Взаимодействие языка, социума и субъекта в поструктуралистской концепции позднего Фуко репрезентируется через власть. При этом из надличностной властной силы язык (дискурс), как это следует, например, из концепции Сепира-Уорфа, превращается в инструмент власти, используемый социумом с целью подавления. «Я полагаю, - говорил М. Фуко в своей инаугурационной лекции в Коллеж де Франс, - что в любом обществе производство дискурса одновременно контролируется, подвергается селекции, организуется и перераспределяется с помощью некоторого числа процедур, функция которых - нейтрализовать его властные полномочия и связанные с ним опасности, обуздать непредсказуемость его события, избежать его такой полновесной, такой угрожающей материальности».
К процедурам исключения французский философ относит: 1) запрет («говорить можно не все, говорить можно не обо всем и не при любых обстоятельствах, и, наконец, что не всякому можно говорить о чем угодно», по мнению М. Фуко, сферами социальности, где решетка запретов наиболее уплотнена, являются сексуальность и политика); 2) разделение и отбрасывание («с глубокого средневековья сумасшедший - это тот, чей дискурс не может циркулировать как дискурс других»; «его слово - недействительно: оно не обладает ни истинностью, ни значимостью, не может свидетельствовать в суде, не может заверить какой-либо акт или контракт, не может даже при жертвоприношении во время мессы позволить произойти пресуществлению хлеба в тело; но зато иногда случается, что это слово, в отличие от любого другого, наделяют странными полномочиями: выговаривать скрытую истину, возвещать будущее, видеть, бесхитростно и наивно, то, что вся мудрость других не может воспринять»).
Однако идея незыблемости властного дискурса, не столько конституирующего субъекта, сколько подчиняющего его (философом исследовались системы подавления в тюремной, психиатрической системах) у раннего Фуко, позже сменятся интересом к активному конституированию субъекта через практики «самости». В таком контексте власть становится не только инструментом подавления субъекта, но и стимулом его сопротивления тотальности властного дискурса. По выражению М. Фуко, «дискурс – (…) это не просто то, через что являют себя миру битвы и системы подчинения, но и то, ради чего сражаются, то, чем сражаются, власть, которой стремятся завладеть».
Развитием темы власти дискурса становится обращение к проблеме субъекта и субъективации. В работе М. Фуко «Субъект и власть» субъект представляется как результат осуществления различных практик подчинения или освобождения. Субъект (субъективность) возникает в ходе складывания, или субъективации. «Субъективацией, - писал М. Фуко, - я назову процесс, посредством которого мы получаем складывание субъекта, точнее говоря – субъективности, каковая, очевидно, служит лишь одной из заданных возможностей организации некоего самосознания». Философ настаивает на том, что «суверенного и основополагающего субъекта, универсальной формы субъекта, которую можно найти повсюду, не существует».
Отрицая трансцендентальность субъекта в пользу его историчности, М. Фуко не избегает гипостазирования власти как единого надсубъектного начала. И субъект производимый, то есть конституируемый обществом через систему контроля дискурсов, и субъект производящий, то есть становящийся через «заботу о себе», объективируются либо через сопротивление власти, либо через ее использование для подавления дискурса других. В данном случае возможен и другой, более радикальный, вывод, следующий из поструктуралистской доктрины, о том, что у субъекта вообще нет никаких онтологических оснований ни в физическом бытии, ни в социуме. Находясь, как кочевник, в состоянии постоянного перемещения, «номадический субъект», не может быть укоренен как нечто целостное ни через его отношения с внешней ему реальностью, ни через самого себя.
Реакцией на (пост)структуралистское положение о невозможности независимого индивидуального сознания, постоянно детерминируемого внешними структурами, стала разработка теории идентичности (П. Рикер, Ю. Кристева, Р. Брайдотти, Д. Батлер и другие). Критика поструктуралистской позиции направлена на обоснование некоторой автономности человека, т.е. относительности его обусловленности структурами, признанием свободы интерпретации, смыслополагания – наделения текста культуры смыслом. «Личность – это, прежде всего, интерпретирующий себя текст», который, к тому же, тяготеет к многомерности. И это «текст», который способен (и вынужден) к «агрегированию себя в единое с другими текстами».
Следуя логике поструктурализма в трактовке процессов формирования субъектности носителя языка, можно сформулировать следующие положения. Во-первых, субъектность не является центром ЯЛ, поскольку субъект, хоть и создает смыслы, но они поверхностны. «Фуко, - отмечает А.В. Дьяков, - предлагает нам модель «плоского» мира, в котором поверхностные смыслы не обмениваются на глубинные «сущности», а раз смысл не имеет корней, он постоянно скользит по плоскости. Более того, сами смыслы и создают эту плоскость. Субъект постоянно перемещается по этой плоскости смысла». Принужденность субъекта двигаться по поверхности исключает образование сложных устойчивых смысловых структур в иерархии языковой личности и тем самым создает лишь условную границу между отдельными личностями и языковым сообществом в целом. Таким образом, свобода ЯЛ – это не столько свобода ответственного смыслопорождения, сколько свобода индивида как носителя языка конструировать различные дискурсы по мере овладения языковым кодом и правилами его использования.
Во-вторых, ЯЛ как вариант «самости» (идентичности), выраженной в языке, складывается в результате сопротивления контролю со стороны господствующих дискурсов. Но поскольку давление социума, связанное с навязыванием или ограничением дискурсивных практик невозможно отменить, то индивид как носитель языка уходит в пограничное, маргинальное пространство, меняя свои идентичности, а вместе с ними и варианты их языковой презентации. В этом смысле идеальным пространством для конституирования языковой личности является коммуникативно-языковая реальность, возникающая в сети Интернет и благоприятная для формирования мозаичной ЯЛ, готовой оперативно реагировать на запросы виртуального языкового сообщества.
В дискурсоцентристских концепциях взаимодействия языковой личности – языка – языкового сообщества выявляются интегративные механизмы, посредством которым власть (идеология) через язык структурируют личность носителя языка. Дифференциация же языковых личностей может быть представлена скорее как процесс негативный, то есть как уход от давления социума. В носителе языка, следовательно, не формируется личностное, субъектное начало, а только лишь происходит субъективация объективных социальных форм в виде освоения лексического наполнения и правил участия в различных дискурсивных практиках.
Интересные результаты на этот счет были получены американскими исследователями, изучавшими язык городского среднего класса США. Так, в частности были выявлены особенности вербального общения с теми, кто занимает четко фиксированные социальные позиции или, напротив, не имеет устойчивого социального статуса, специфика выражения негативной оценки по отношению к разным категориям сообщества. Подводя итоги исследованию, его автор Н. Вульфсон отмечает следующее: «Тот факт, что американский городской средний класс живет в сложном открытом обществе, означает, что индивиды являются членами не одной единственной сети, в которой их место строго определено, но принадлежат к множеству таких сетей, как перекрывающих, так и не перекрывающих друг друга, в которых им необходимо постоянно обмениваться своими ролями и отношениями друг с другом».
Отмеченная особенность личностного существования в языке безусловно присуща современной ЯЛ. По мнению В.С. Библера, носитель языка, выступая в различных социальных ролях, «втянут в противоборствующие напряжения (включая сюда взаимоисключающие «инструкции», диктуемые человеку от имени различных подсистем «социума совместного труда». Однако дифференцированность социальных ролей, форм и способов бытия, а, следовательно, дискурсивных практик, не разрушает целостность ЯЛ. Полагаем, что это обусловлено наличием интегративных смысловых структур, формирующихся на втором (тезаурус) и третьем (прагматикон) уровнях ЯЛ.
Что касается тезауруса, то в качестве такой интегративной доминанты выступает «ценностно-смысловая картина мира», согласно М.М. Бахтину, или «осмысленная картина мира», по Л.С. Выготскому. На уровне языковой прагматики – это идеалы, установки, ориентиры языкового поведения.
Признание социальной коммуникации и ее субстанциальной основы – языкового сообщества как фундаментального условия формирования ЯЛ обозначило пределы лингвоцентризма (дискурсоцентризма) и привело к необходимости осмысления коммуникативной природы социальности, а также исследования коммуникации как онтологического основания ЯЛ. В коммуникативном процессе происходит слияние макро- и микроуровней социальности, жизненного мира и субъекта. «Когда говорящий, - пишет Ю. Хабермас, - высказывается о чем-либо в рамках повседневного контекста, он вступает в отношение не только к чему-то наличествующему в объективном мире (как совокупности того, что имеет или могло бы иметь место), но еще и к чему-то в социальном мире (как совокупности законодательно урегулированных межличностных отношений) и к чему-то в своем собственном субъективном мире (как совокупности манифестируемых переживаний, к которым он имеет привилегированный доступ)».
В то же время полицентризм и полифункциональность коммуникативной реальности с необходимостью обусловливают постоянное вовлечение ЯЛ в различные дискурсы, участие в которых требует от нее владения определенным лингвистическим ресурсом и способностью переключаться с одного коммуникативного кода на другой. Упомянутая ранее консолидированность внутренних структур ЯЛ, обеспечиваемая действием внешних механизмов социальной интеграции, способствует более эффективному освоению и дифференциации личностных концептов (на уровне тезауруса) и их инструментальному использованию (на уровне прагматикона).
Индивидуальное - коллективное
Еще одним значимым аспектом взаимодействия языка и его носителя является диалектика индивидуального и коллективного в процессе формирования ЯЛ. Все носители языка являются индивидуумами (но не все - личностями), в норме наделенными примерно одинаковыми потенциальными возможностями овладения языком. С другой стороны, язык сам по себе предоставляет всем носителям равные возможности для освоения своего потенциала. Источник индивидуализации языка каждого конкретного субъекта нередко усматривается в особенностях его психики, иными словами – в специфичном для каждой ЯЛ уровне взаимодействия психики и мышления. Так, например, у И.А. Бодуэн де Куртенэ встречаем следующее высказывание: «Язык существует только в индивидуальных мозгах, только в душах, только в психике индивидов или особей, составляющих данное языковое сообщество». Разумеется, речь не идет об автономном существовании индивидуального и национального языков.
Одним из ключевых в рамках коммуникативной парадигмы является вопрос о соотношении языка как системы и речи как субъективного акта (действия). Сформулированный в виде дилеммы, он заключается в следующем: обладает ли бытием язык как структурная реальность, используемая его носителями, или же он существует только в виде речи, а система – лишь его срез в произвольный момент времени?
По мнению Ф. де Соссюра, именно по линии язык-речь пролегает водораздел между социальным и индивидуальным. «Отделяя язык от речи, - писал он, - мы отделяем одновременно 1) социальное от индивидуального, 2) сущностное от превходящего и более и менее случайного». «Язык, - это социальный аспект речевой деятельности, внешний по отношению к индивиду, не могущему в одиночку ни создать, ни изменить его». Эта позиция восходит к воззрениям основоположника языкознания В. фон Гумбольдта, который усматривал в феноменах языка и речи демаркацию надличностного и индивидуального. Язык рассматривался им в качестве самодостаточной сущности, «порождающего себя механизма». «В языке, - писал он, следует видеть не какой-то материал, который можно обозревать в его совокупности или передавать часть за частью, а вечно порождающий себя механизм, в котором законы порождения определены, но объем и в известной мере также способ порождения остаются совершенно произвольными» Речевая же деятельность понималась им как «соединение индивидуальных восприятий с общей природой человека» и указывалось, что только в речи индивида язык достигает своей окончательной определенности.
Представители субъективистского подхода к пониманию природы языка (Ф. Маутнер, Г. Пауль, И.А. Бодуэн де Куртене, А.А. Шахматов) исходили из признания существования только индивидуального языка, отрицая реальность общего языка. «На свете столько же отдельных языков, сколько индивидов», - полагал Г. Пауль. Такая позиция разделялась и рядом философов. М. Хайдеггер, например, также отождествлял язык и речь, рассматривая последнюю, как «со-конституирующий» значение элемент, такой же, как практика обращения с подручным. Речь, в его понимании, это не реализация определенной системы языка (как это принято считать в лингвистике), а его «экзистенциально-онтологический фундамент». Вместе с тем, язык – это результат речи, «выговоренность речи вовне», т.е. имеет речь в качестве своего источника.
Диалогическая концепции языка была изложена М.М. Бахтиным в работе «Марксизм и философии языка». Трактовка языка Ф. де Соссюром и М. Бахтиным представляют собой противоположные модели: язык как статическая структура, как «набор инструментов», которым любой говорящий обладает и использует в соответствии с определенными правилами, и язык как динамического процесс взаимного развития как его самого, так и говорящих.
Для М.М. Бахтина знаки возможны только в процессе социальной деятельности как ее неотъемлемая часть, в рамках которой они используются в качестве посредников, замещающих нечто другое. Поскольку референциальная сторона знака существует только в контексте социальной практики, то было бы неверно говорить о языке как об абстрактной системе знаков. Она так же не существует, как и отдельный, изолированный речевой акт. Поэтому если говорить о реальности языка, то под ней Бахтиным понимается «речевая цепь высказываний», в которой каждый элемент (высказывание) социален. «Бытие, отраженное в знаке, не просто отражено, но преломлено в нем» «скрещением разнонаправленных социальных интересов в пределах одного знакового коллектива».
У А.А. Потебни соотношение языка и речи рассматривается диалектически. В речи, по его мнению, выражается реализация языка как общего, объединяющего говорящих, поэтому реальность универсального и отдельного (личного языка), не подлежит сомнению. Слово обретает бытие в процессе произношения, поскольку «действительная жизнь слова совершается в речи». Методологическая ценность данного высказывания особенно высока, поскольку отражает противостояние идее надличностной самодостаточности языка.
А.А. Леонтьев, исследуя речевую коммуникацию, констатирует «полное приравнивание» компонентов пар «язык-речь» и «код-сообщение». И.Т. Касавин отмечает, что язык – это знаковая деятельность некоторого субъекта в конкретной ситуации, это же и речь; отсюда основными признаками языка будут субъект, знак, ситуация, правила.
Языковая и речевая деятельность существуют как единство языка и речи, воплощающееся в дискурсе. Речь реализуется не только через свою сигнификативную функцию, но и как последовательность речевых актов, а, по сути, отдельных событий. При этом язык включается в речь не в виде целостной структуры, а отдельными фрагментами, встраиваемыми в текст сообразно его специфике. Их выбор обусловлен конкретными потребностями и мотивами, стимулирующими данное сообщение.
ЯЛ как индивидуальность, таким образом, формируется одновременно и через усвоение языка как единой для данной культуры знаково-коммуникативной системы и в процессе его применения в речевой деятельности, поскольку оба эти процесса диалектически связаны и представляют собой единое целое. Внутренний план этого процесса выражается через понятие субъективность, то есть «способность говорящего присваивать себе язык в процессе его применения, отражающаяся в самом языке в виде особой черты его устройства (...) За субъективностью вскрывается, таким образом, еще более общее свойство языка: язык есть семиотическая система, основные референционные точки которой непосредственно соотнесены с говорящим индивидом».
С одной стороны, ЯЛ, как полагают многие исследователи, используя конкретный язык, неизбежно приносит в жертву свою уникальность. У Б. Рассела встречаем мысль о том, что, даже ведя дневник только для себя, мы не можем быть сверхиндивидуальными. Поэтому даже глубоко личностное содержание нашего опыта, обретая общепринятые формы выражения, в известной степени устраняется. В то же время, любое высказывание, даже будучи включенным в социально-коммуникативный процесс, всегда остается индивидуальным. «Следование правилу есть деятельность. Неверной интерпретацией было бы принять, что здесь «Praxis» обозначает социальную практику. Противопоставление здесь не между арией и хором, а между тем, чтобы смотреть в партитуру, и петь». Сообщество задает некий общий набор критериев, который, однако, не гарантирует, что любой говорящий на данном языке индивид, понимает значение используемых выражений.
Понимание процесса формирование ЯЛ через разрешение указанных противоречий согласуется с разработанной К.Л. Ерофеевой концепцией сущности единичного или индивидуального человека, под которой указный автор понимает «ту совокупность его внутренних связей и отношений, которая определяет направленность его устремлений, интересов, склонностей и способностей, а значит – его существование в объективной и собственной, субъективной реальности». Если вернуться к принципиально важному положению Ю.Н. Караулова о том, что ЯЛ – это не ракурс личности, а вид ее полноценного представления, то сущность человека как носителя языка (или нескольких языков) может быть понята как конкретная неповторимая композиция субъективного – объективного, интегративного – дифференцирующего и индивидуального – коллективного начал. Ее реальное воплощение находит свое выражение в особенностях социально-деятельностной и аксиологической сфер ЯЛ.
2.2 Языковая личность как субъект социальной коммуникации
Если в предыдущем параграфе внимание было сконцентрировано на рассмотрении системы взаимодействий языковая личность – языковое сообщество, определяющих онтологию этого единства, то теперь фокус перемещается на участие языковой личности в порождении дискурса. Тематизация этого аспекта формирования личности носителя языка важна по нескольким основаниям. Во-первых, представление о проблематичности субъекта как неизменной, устойчивой целостности, привнесенное в философский дискурс постмодернизмом, стимулирует изучение природы языковой личности с точки зрения ее индивидуального вклада в дискурсивные практики. В связи с этим требуется уточнение понятий «субъектность» и «субъективность» и рассмотрение их соотношения в процессе включения индивида в языковую коммуникацию. Во-вторых, дискурс как вид социальной деятельности реализуется в индивидуальных речевых актах. Представляется, что диалектика социального и индивидуального в порождении дискурса конкретизируется в ряде противоречий (конвенциональность–интенциональность, инструментальность–креативность, повседневность – институциональность), которые являются источником развития языковой личности.
Дальнейшее рассмотрение обозначенных проблем требует некоторых терминологических уточнений. Как уже отмечалось в предыдущей главе, понятие «дискурс» полисемантично, поскольку концептуализация этого явления в разных социально-гуманитарных науках исходит из различных парадигм (семиотической, кратологической, коммуникативной, различных вариантов лингвистической). Адекватным задачам данного исследования представляется понимание дискурса как любого акта употребления языка независимо от его культурной ценности, как частицы «непрерывно движущегося потока человеческого опыта. В этом своем качестве он вбирает в себя и отражает в себе уникальное стечение обстоятельств, при которых и для которых он был создан». Иными словами, дискурс - это речь, вписанная в коммуникативную ситуацию по афористичному выражению Н.Д. Арутюновой, «дискурс - это речь, погруженная в жизнь».
Реализация языковой личности в полной мере возможна в коммуникации. Коммуникативная практика является объективным условием включения человека в многообразную систему общественных отношений. С учетом того, что коммуникация в обществе подразумевает знание определенных языковых кодов и владение правилами их использования, первостепенная роль в процессе взаимодействия в социуме отводится языковой коммуникации.
Представляется, что наиболее полно социальная коммуникация может быть описана как система дискурсивных практик, участвуя в которых субъект как носитель языка вступает во взаимодействие с языковым сообществом в различных коммуникативных конфигурациях (в живом общении «здесь-и-сейчас» с конкретными языковыми личностями, в виртуальной языковой коммуникации, в групповом общении внутри определенного языкового сообщества).
Социальность языковой коммуникации обусловлена социальной природой ее субъектов. По словам М.М. Бахтина, «говорящая личность, взятая, так сказать, изнутри, оказывается всецело продуктом социальных отношений. Не только внешнее выражение, но и внутреннее переживание её является социальной территорией. Следовательно, и весь путь, лежащий между внутренним переживанием («выражаемым») и его внешней объективацией («высказыванием»), – весь пролегает по социальной территории. Когда же переживание актуализируется в законченном высказывании, его социальная ориентированность осложняется установкой на ближайшую социальную ситуацию говорения и, прежде всего, на конкретных собеседников».
Отметим также, что языковая коммуникация, будучи вербализованным выражением сущности бытия человека как со-бытия с другими, представляет собой практическую деятельность. По словам А. Шюца, индивид переживает социальный мир «прежде всего как поле действий, а лишь во вторую очередь как объект мышления. Отсюда повседневное восприятие организуется в терминах, релевантных его (индивида) возможному и/или реальному действию». Следовательно, логично представить языковую деятельность как систему дискурсивных практик, через которые раскрывается событийность и сознательность взаимодействий в человеческом мире. Дискурсивные практики – это и способ формирования языковой личности, и возможность ее саморазвития.
Дискурс как единица дискурсивной практики может быть рассмотрен как социальное действие и, следовательно, его отличают следующие основные черты. Во-первых, дискурс – это всегда персонифицированный акт речевой деятельности. Социальные действия, как и человеческая деятельность в целом не могут быть субстанционализированы, т.е. рассматриваться как социальные неперсонифицированные сущности (экономические законы, общественное бытие и пр.). Социальные действия всегда непосредственно связаны с активностью людей и проявляются в социальной деятельности, которая всегда реализуется через конкретных субъектов деятельности. Во-вторых, под дискурсом как социальным действием понимается локализованный в пространстве и времени конкретный акт деятельности общественного субъекта. Социальное действие – это не просто феномен, касающийся поведения, это способ функционирования и существования тех или иных социальных субъектов. В-третьих, дискурс – это осознанный, мотивированный и целенаправленный акт, опосредующий связь языковой личности с ее социокультурным окружением. В-четвертых, дискурс не имеет принудительного характера. Язык в дискурсе действует как когнитивная система, в которой человек участвует как языковая личность.
Конвенциональность-интенциональность
Рассмотрение языковой коммуникации как социальной деятельности неизбежно связано с обращением к проблеме соотношения в ней конвенциональности-интенциональности. Понятие «конвенция» широко используется в гуманитарном знании (от логического позитивизма как методологии научного познания до социологии, от лингвистики до социальной психологии и социальной философии), отражая при этом разные аспекты конвенциональности (конвенция как произвольность выбора исходных понятий при построении логической системы у Р. Карнапа, как возможность выбора понятийного аппарата для интерпретации
данных опыта и построения «картины мира» у К. Айдукевича, как выражение социального контроля и исполнением социальных ролей у Т. Шибутани, как согласованное содержание социального отношения между субъектами взаимодействия у Н. Хаан, как социальное знание, существующее в условиях общего социального контекста и определяющее функционирование других систем, обеспечивающих коммуникацию у Т. Ван Дейка). В контексте данного исследования, полагаем, достаточно будет сослаться на дефиницию М. Вебера, чтобы очертить границы смысла данного понятия. Согласно этому определению, «конвенция представляет собой объективно существующую вероятность того, что, несмотря на отсутствие предварительной договоренности, участники той или иной формы взаимодействия достигнут согласия».
Дискурс как социальное действие связан с участием в коммуникации конкретной ЯЛ, имеющей определенную цель, обусловленную намерением (интенцией). В ходе осуществления речевого акта она выбирает из собственного лексикона не только правила сочетания синтагм, но и набор тем разговора, решает, как и сколько об этом говорить, то есть действует в соответствии с выработанными в языковом сообществе конвенциями.
В рамках прагматического подхода (в прагмалингвистике, лингвистической ветви аналитической философии) взаимосвязь интенциональности и конвенциональности принято рассматривать как соотношение цели и способа ее достижения в контексте успешности речевой коммуникации. Классическая теория речевых актов (Д. Остин, Д. Серль, П. Стросон) предлагает концепцию структурирования речевого акта на три уровня: локуцию (используемые средства, т.е. само произнесение высказывания), иллокуцию (цель и условия ее осуществления) и перлокуцию (результат). П.Ф. Стросон показывает, что основным признаком, по которому иллокутивный акт отличается от локутивного, является целенаправленность, а основным признаком, по которому иллокутивный акт противопоставляется перлокутивному, является конвенциональность.
Особое внимание уделяется иллокуции, поскольку, во-первых, лексика языка (то, что участвует в локуции) столь неисчерпаема, что практически невозможно охватить ее ограниченным числом моделей, во-вторых, принципиальная неконвенциональность перлокуции (можно говорить об условиях успешности коммуникации, но невозможно ее гарантировать в силу сохраняющейся неопределенности развития сценария речевого взаимодействия) также оставляет ее за пределами формализации. Иллокуция, следовательно, представляет эпицентр сосредоточения интенции конкретного дискурса и адекватных ей правил-конвенций ее воплощения.
Под интенцией автор этого понятия австрийский философ и психолог Ф. Брентано подразумевал основное свойство психических феноменов, их предметную отнесенность в сознании и направленность сознания на предметное содержание. Впоследствии интенциональность как основное свойство сознания стало предметом анализа в феноменологии Э. Гуссерля. «Одна из особенностей ego, - писал он, - состоит в том, что оно всегда обладает системами интенциональностей, в том числе согласованными, которые частично заключены в нем, частично же, как определенные потенциальности, могут быть раскрыты благодаря горизонтному предочерчиванию». Следовательно, интенциональность как интерсубъективность, т.е. пространство взаимодействия многих детерминирует структуру сознания индивида. Субъект, является носителем совокупности социальных практик, данных ему в виде привычек, предрасположенности к действиям, но источник структуры его Я находится за его пределами.
Психологическая версия концепции интенциональности была развита и дополнена ее лингвистической модификацией. Следуя в русле психологического подхода, П. Грайс и Д. Серль исходят из признания того, что проблемы философии языка вторичны по отношению к философии сознания. Отвергая стационарность значения знака, П. Грайс обосновывает положение о том, что значениями слов являются субъективные интенциональные содержания говорящих. «Объективное значение» есть лишь только конвенционально устойчивая субъективная интенция. В то же время исследование интенциональности сознания Серлем осуществляется с позиций философии языка, т.е. через уже упомянутую реконструкцию речевого акта как комбинации трех действий (в данном случае - пропозиция, иллокуция, произнесение) с последующим выделением типов иллокуций. Придерживаясь позиции производности речевых актов от психологических, Серль аргументирует ее наличием лжи в речи, возможность которой показывает в принципе произвольное употребление слов. Следовательно, интенциональность все-таки коренится не в сфере языка, а в сфере сознания. «Мои субъективные состояния, - отмечал Д. Серль, - соединяют меня с остальным миром, и общее имя этой связи есть интенция».
Психолого-лингвистическая традиция понимания интенциональности и соотношения интенциональности и конвенциональности (в теории речевых актов), фиксируя противоречие между субъектом (Я) и объектом (Другим), субъективным (цель говорящего) и объективным (не зависящие от говорящего способы обеспечения распознавания этой цели слушающим), по сути, это противоречие изначально снимает за счет, как уже упоминалось ранее, признания внешней детерминации структуры интенциональности. Соответственно, субъективным является то, что проходит через сферу психики субъекта, но при этом остается объективным, т.е. заданным извне. Подобная заданность субъект-объектного отношения делает участие языковой личности в речевой коммуникации весьма незначительным, сводящимся лишь к роли коммуниканта, который стремится достичь перлокутивного эффекта.
Теоретические конструкты «интециональность», «интерсубъективность», «речевой акт» представляют собой, в сущности, идеальные модели коммуникации (речевой коммуникации), которая фактически сводится к согласованному переживанию другого «Я», к «гармонии монад». Однако невозможность такой согласованности потенциально заложена уже в самой идее «жизненного мира» (Э. Гуссерль) как совокупности повседневных практик, следовательно, текучего и меняющегося или в перлокуции с неопределенностью ее исхода и, следовательно, нарушением заданного конвенционального порядка в общем коммуникативном процессе.
Существует несколько обстоятельств, проблематизирующих «коммуникативную идиллию» и выявляющих иной взгляд на соотношение интенциональности и конвенциональности в процессе порождения дискурса.
Во-первых, отсутствие онтологической включенности языковой личности в интерсубъективность. Напротив, интерсубъективность дана индивиду изначально как некая нерасчлененная целостность, которая только в процессе вхождения в повседневную языковую коммуникацию формируется в результате взаимной направленности ЯЛ и языкового сообщества (коллективного Другого) на сам процесс установления понимания в дискурсивных практиках. Следовательно, структура интенциональности (т.е. видов речевой направленности и способов их реализации) языковой личности складывается и корректируется в результате постоянной вовлеченности носителя языка в социальный дискурс и связана со сложным и длительным процессом освоения лексической базы языка и формированием тезауруса. Не случайно в структуре ЯЛ, разработанной Ю.Н. Карауловым, прагматикон – это высший уровень, включающий в себя ключевые целевые установки, деятельностные ориентиры и духовные ценности.
Во-вторых, трактовка ЯЛ как рационализированного субъекта, выполняющего телеологически заданную миссию – достижение успеха в речевом акте – неоправданно выводит за пределы исследования такие психологические аспекты речевой деятельности, как иррациональность, эмоциональность или социальные – особенности воспитания, образования, наличие культурного капитала (П. Бурдье), под которым понимается не только формальная властная позиция, в которой находится говорящий, но и социальная позиция актора, понимаемая в значительно более широком смысле. В таком случае модель интенция – цель – средство достижения цели не может рассматриваться как последовательный непротиворечивый переход от одной инстанции к другой. Интенция может противоречить средствам ее осуществления (нередко можно услышать фразу «Я не хотел (у меня не было намерения) тебя обидеть»), цель (например, самовыражение экзальтированной языковой личности) может в принципе не иметь в наборе конвенций, принимаемых языковым сообществом, адекватных средств выражения.
В-третьих, погруженность дискурса в смысловое пространство, в котором взаимодействуют две семиотические системы – язык и культура. Единство этой триады (дискурс, язык, культура) в актах живого речевого взаимодействия ЯЛ всегда протекает в условиях определенного контекста, содержание которого образуется конвенциями разного уровня.
На первом уровне действуют универсальные коммуникативные конвенции, которые призваны обеспечивать успешность речевого акта. Дж. Сёрль, формулирует ряд, как он их называет конститутивных, правил (наличие соответствующих социальных полномочий говорящего, коммуникативного партнерства, целесообразности, искренности), следование которым создает предпосылки успешности дискурсов. Суммируя их содержание, отметим, что английский философ-аналитик делает акцент на наличии таких универсальных конвенций, как определенный статусный капитал ЯЛ, социальный контекст, в котором данный речевой акт уместен, способность адресата адекватно ситуации отреагировать на иллокуцию,
Конвенции второго уровня относятся к социокультурному контексту.
Н.Г. Брагина отмечает такое явление, как циклы смены культурных коннотаций (ценностный, профанный, иронический и исторический) и показывает функционирование и смену в различных типах дискурса. Ценностный период предполагает наличие строгой регламентации контекстов употребления и запретов на недолжное употребление. Профанный период характеризуется отходом от жесткой регламентации и нарушением ранее принятых запретов, контексты употребления расширяются и коннотативный фон слова начинает использоваться в различных целях: эстетических, идеологических. Во время иронического периода происходит обыгрывание ценностных коннотаций (стёб, ёрничание). Исторический период характеризуется нейтрализацией культурных коннотаций, которые постепенно утрачивают связь с определенным типом дискурса.
Третий уровень конвенциональных установок принадлежит сфере субъективности ЯЛ, т.е. ее индивидуальному жизненному опыту, осмысленному и закрепленному в системе языковых конвенций, сложившихся в определенном языковом сообществе. Можно предположить, что образуемая ими композиция и есть сфера личной свободы выбора ЯЛ между конвенциональными установками.
Таким образом, интенциональность и конвенциональность дискурса – это его свойства, характеризующие речевое действие ЯЛ с точки зрения соотношения субъективного (намерение) и объективного (конвенциональные средства его осуществления). При этом субъективность интенциональности формируется не только в результате освоения конвенционально одобренных и закрепленных форм социального дискурса, но и через сопротивление этим конвенциям, в том числе в результате свободного выбора между различными конвенциями, основанного на личном жизненном и языковом опыте носителя языка, на освоении социокультурных коммуникативных норм и ценностей, принятых в определенном языковом сообществе.
Инструментальность-креативность
Специфика речевого акта как формы деятельности заключается в том, что в нем диалектически взаимосвязаны инструментальность, то есть использование языка как средства реализации намерений языковой личности и само социальное действие. Язык, взятый с точки зрения его инструментальной природы, представляет собой экономное и емкое устройство для передачи огромного количества смысловой информации. Соответственно, как и любой инструмент, он тем полезнее и эффективнее в процессе своего использования, чем лучшее владеет им субъект языковой деятельности. В то же время, язык – это такой инструмент, который сам изменяется, обогащается, совершенствуется в процессе постоянного порождения дискурса. Применительно к ЯЛ как субъекту речевой деятельности (потенциальному или актуальному) это означает, что, с одной стороны, языковое сообщество ориентирует ее на освоение общепринятых языковых кодов и норм, но, с другой стороны, по мере включения в дискурсопорождающую деятельность (в повседневные и различные институционвльные практики) она начинает все более свободно оперировать языком как инструментом, изменяя его в определенных пределах под свою индивидуальность. Таким образом, в процессе языковой деятельности проявляется оппозиция инструментальности и креативности как двух разнонаправленных и в то же время взаимосвязанных тенденций формирования и развития ЯЛ.
Рассмотрение единства этих противоположностей обращает нас к сопоставлению двух моделей языка – инструментально-номенклатурной и функционально-игровой. Инструментально-номенклатурный подход со времен Э. Бенвениста представляет язык как сложную многоуровневую модель. «Язык во всех своих существенных пунктах, - писал французский лингвист, - имеет прерывный характер и оперирует дискретными единицами. Можно сказать, что язык характеризуется не столько тем, что он выражает, сколько тем, что он различает на всех уровнях. … Это и делает язык системой, в которой ничто ничего не значит само по себе и по своему природному свойству, но в которой все имеет значение вследствие зависимости от целого: структура придает частям их смысл, или их функцию. И это также обеспечивает безграничные возможности коммуникации: поскольку язык организован системно и функционирует по правилам кода, говорящий, отправляясь от очень небольшого числа основных элементов, может составлять знаки, затем группы знаков и, наконец, бесконечное количество разнообразных высказываний, каждое из которых может быть опознано воспринимающим, так как в его распоряжении находится та же самая система».
Языковая свобода индивида с точки зрения структурной лингвистики трактуется как возможность построения все более сложных комбинаций по мере восхождения по «лестнице свободы» (Р. Якобсон). «…в правилах сочетаемости лингвистических единиц, - писал он, - существует ведущая вверх лестница свободы. В комбинировании различительных признаков фонем свобода отдельного говорящего равна нулю: языковой код уже установил все возможности, которые могут быть реализованы в данном языке. Свобода соположения фонем в словах очень ограничена, она проявляется лишь в маргинальной ситуации словотворчества. В конструировании предложений из слов ограничений, налагаемых на говорящего, уже значительно меньше. Наконец, при создании текста из предложений действие ограничивающих синтаксических правил прекращается, и свобода каждого отдельного говорящего достигает максимума, особенно если он не должен придерживаться множества языковых клише».
Однако неисчерпаемость языкового потенциала, то есть, по сути, бесконечность языка, обосновываемая, например, в генеративной грамматике Н. Хомского, сталкивается, с одной стороны, с конечностью человека и его неспособностью использовать такую неисчерпаемость комбинаций, а, с другой стороны, с ограниченностью пределов естественного языка. Рассмотренная модель наглядно показывает, что «избыточность» языка, предопределенная законами лингвистической комбинаторики, представляет обширные возможности для порождения дискурсов. Но, будучи принципиально статичной, она не рассматривает язык как систему, вовлеченную в языковую деятельность конкретных ЯЛ в границах определенного социокультурного пространства.
В отличие от инструментально-номенклатурной в функционально-игровой модели языка, восходящей к теории языковых игр Л. Витгенштейна, идея единого совершенного языка заменяется категориями различия, многоаспектности, историчности оснований языка. В результате появляется концепт «языковая игра» как практика употребления и реального функционирования структур языка. Принципиальные положения этой теории можно сформулировать следующим образом. Смысл языка – не в его логико-грамматической структуре, не в языке как в системе, а в его речевом ситуативном употреблении, в умножении речевых ситуаций. Следовательно, значение слов определяется их употреблением (оно не стационарно, как, например, в логике Г. Фреге), а язык в форме речи выступает как игровая деятельность. «Речевые практики существуют в сочетании с фактом конкретного высказывания, конкретного речевого выступления, которое является атрибутом социальных отношений и содержит особый прагматический смысл», - отмечает А.В. Зайко.
Речевая игра, понимаемая как множественность и разнообразие функционирования слов и предложений, предполагает наличие более или менее строгих правил, касающихся различных аспектов употребления знаков, возможность отклонения от одних правил и вступления в силу правил новой игры, устаревание и смену игр. Этими правилами задаются, хотя и не жестко, возможности игровой комбинации различных действий, допускающие относительную свободу языковой личности. Таким образом, предлагается еще одна версия комбинаторики, но в отличие от структурно-лингвистической – на уровне не лингвистических, а поведенческих единиц.
Можно, однако, согласиться с точкой зрения, что «важнейшей особенностью языковой игры как социального феномена и социального действия в современных условиях выступает субъективный выбор. Пространство выбора в такой языковой игре логично перерастает в пространство конструирования, где высказывания предстают не просто словами или речевыми актами, а становятся своего рода «кирпичиками», из которых складываются социальные отношения, образы «себя» и «других», различные аспекты и качества личности, воссоздаваемые и проживаемые в каждом коммуникативном акте». Действительно, современная социальная реальность, трансформирующаяся под влиянием все более расширяющегося медийного пространства в коммуникативную реальность представляет ЯЛ достаточно богатый выбор сценариев языковой коммуникации.
Как видим, потенциал языка как инструмента коммуникации, равно как и инструментальность правил дискурса не исключают свободы творчества языковой личности. Возможности оперирования лексическим запасом языка детерминированы степенью овладения ЯЛ вокабуляром и правилами конструирования лексических единиц разных уровней. Дискуссию вызывает вопрос о том, что ограничивает пределы творческой активности ЯЛ в плане комбинирования правил игры. Иными словами, кто задает эти правила – языковое сообщество или языковая личность.
Рассмотрение данного вопроса возвращает нас к проблеме сущности правил языка, начало которой было положено учениками и последователями Л. Витгенштейна. «Проблема следования правилу» с необходимостью вытекала из положения Витгенштейна о значении как употреблении, сформулированном им в § 201 «Философских исследований»: «Наш парадокс был таким: ни один образ действия не мог бы определяться каким-то правилом, поскольку любой образ действия можно привести в соответствие с этим правилом. Ответом служило: если всё можно привести в соответствие с данным правилом, то всё может быть приведено и в противоречие с этим правилом. Поэтому, тут не было ни соответствия, ни противоречия». Проблема заключается в происхождении этих правил. Из самого положения Л. Витгенштейна вытекает, что любое языковое высказывание можно подвести под бесконечное число правил употребления. Любой частный случай (любое высказывание) можно противопоставить любому правилу. Следовательно, любое языковое высказывание не может быть с полной определенностью подведено под какое-либо правило.
В аналитической философии сложилось два взгляда на способы преодоления этого парадокса. Первый, получивший название «точка зрения сообщества» (С.А. Крипке, Р. Фогелин, К. Пикок, К. Райт, Н. Малкольм) основывается на том, что разрешение парадокса возможно только в пределах языковой коммуникации, широкого языкового сообщества. Крипке полагает, что аргумент «индивидуального языка» направлен не столько против этого гипотетического языка, сколько против «индивидуальной модели» следования правилу. В последнем случае действия того человека, который якобы следует правилу, оцениваются вне какого-либо указания на его принадлежность сообществу». Это высказывание вполне согласуются с аргументами самого Витгенштейна, которыйутверждал, что «событие языка имеет в основании регулярность, согласие в действии. Здесь решающую важность имеет то, что каждый из нас (или подавляющее большинство) выражает согласие по определенным вопросам». Для успешной коммуникации не требуется абсолютная стабильность значений. Важна стабильность конвенции относительно правил их употребления.
По мнению ряда других авторов (Г. Бейкер, П. Хакер, К. Макгини, Х. Патнем), стабилизация языкового значения не требует принятого языковым сообществом правила употребления выражения. Из того обстоятельства, что правило закрепляется в практике вовсе не следует социальный характер этой практики. Так, у Робинзона, изолированного от других людей на необитаемом острове, не должно возникнуть проблем с использованием собственного индивидуального языка. Это объясняется тем, что коммуникативные стандарты языкового сообщества не влияют на фиксацию значений употребляемых выражений и на руководство определенными правилам. Закрепление правила не основывается на социальной конвенции, а является субъективной привычкой употребления тех или иных выражений, выработанной в ходе личного коммуникативного опыта.
Подобная аргументация вызывает возражение, поскольку закрепление той или иной привычки в личном языковом опыте должно иметь не только достаточно веские основания, но и быть одобрено языковым сообществом. Разумеется, если речь идет о каких-то сугубо индивидуальных особенностях дискурса (например, устойчивые языковые клише или орфоэпические отклонения от нормы, к которым сообщество, в целом, относится лояльно), глубоко не затрагивающим устойчивые нормы словоупотребления и не препятствующим достижению поставленных целей, то они вполне могут формироваться как языковые привычки, характеризующие самобытность языковой личности. Однако фундаментальные правила и нормы языка, которые по своей сути являются конвенциями, не могут рассматриваться как результат нормотворчества отдельных языковых личностей.
В этом ракурсе сущность языковой деятельности отдельной личности заключается не столько в предписании правил реальности (представляется, что в этом смысле вклад единичного носителя языка практически не вычленим), сколько в осуществлении синтезирующего действия. И эта активность уже не может быть приписана сообществу. В языковом сообществе складывается консенсус относительно правил использования языка, но реализуются они каждый раз в индивидуальной речевой деятельности. Представляется, что разрешение проблемы соотношения детерминированности дискурса языковыми нормами и правилами и индивидуальной свободы их применения выходит за пределы философии языка и возвращает к необходимости рассмотрения дискурса как разновидности социального действия.
Однако, если природа целерационального действия (в терминологии М. Вебера) вполне укладывается в логику структуры интенциональности (в духе феноменологии и аналитической философии), то объяснение возможности отклонения от конвенциональных правил и общепринятых норм языковой деятельности в индивидуальном дискурсе не может быть сведено только к набору интенций, ориентированных на определенные цели. С позиций теории креативного действия (Х. Йоас), помимо целей во внимание необходимо принимать импульсы, желания, свойства внешнего мира, которые не входят в наши планы и могут оказаться исходными точками действия, мостиком между нашими импульсами и миром.
Стоит отметить, что дискурс как социальное действие отличается от действий невербальных тем, что для его осуществления требуется, если можно так выразиться, двойной рациональный контроль, т.е. сначала оформление мысли во внутреннем плане (внутренняя речь по Л.С. Выготскому), а затем ее перевод во внешний план. Однако полагаем, это не отменяет того, что порождение дискурса также связано: а) с экстралингвистическими факторами (механизм желания по Ж. Лакану, тесно связывающий наше поведение с телесностью, дорефлексивные импульсы по Х. Йоасу), б) с ситуацией, под которой понимается не только контингентная (сложившаяся), но и конститутивная соотнесенность. Как правило, - утверждает Х. Йоас, восприятие ситуации содержит суждение об уместности конкретного действия. Каждое правило или привычное действие содержит предположение о типе ситуаций, в которых допустимо следовать привычке, правилу. Ситуация - это не только нейтральное поле приложения внеситуативных интенций; ситуации, по-видимому, в нашем восприятии провоцируют определенные действия. Одним из таких видов действий является индивидуальный дискурс, порождение которого не является безусловно предопределенным общепринятыми правилами грамматики и нормами языковой коммуникации, но несет в себе элемент спонтанности, непредсказуемости. Языковое творчество можно рассматривать как одну из полноценных форм творческой деятельности человека, «важнейшим атрибутом которой является преобразование, развитие его субъекта».
Говоря об источниках языковой деятельности ЯЛ, следует различать факторы, обусловливающие природу креативности социальной деятельности в целом и те, которые оказывают индивидуализирующее действие уже в раннем онтогенезе. Так, в исследованиях по онтолингвистике было показано, что лингвокреативность в детском возрасте может трактоваться двояко: с одной стороны, это креативность «вынужденная», компенсирующая дефицит языкового и когнитивного опыта ребенка; данный вид креативности проявляет обостренную интуицию в использовании детьми потенциала языковой системы; с другой стороны, это креативность, обнаруживающая способность ребенка к осознанному нарушению языковых конвенций». Т.А. Гридина применительно к ЯЛ, проявляющей склонность к использованию в речи кодов языковой игры, выделяет типы игроков-трансляторов, игроков-стилизаторов, игроков-интерпретаторов, игроков-генераторов.
Было показано, что лингвокреативность, хотя и присуща в принципе всем детям в процессе их постижения родного языка, но у всех выражена в равной степени (отчетливо/ослаблено выраженная). «На современном уровне развития онтолингвистики, - отмечает Г.Р. Доброва, - можно уже считать доказанным существование различий в речевом развитии детей, обусловленных совокупностью факторов принадлежности ребенка к той или иной «группе» – к референциальным/экспрессивным детям, к мальчикам/девочкам, к детям из семей с высоким/низким социокультурным статусом, к имеющим/не имеющим сиблинга того же или другого, чем сам ребенок, пола.
Источником языковой игры, высвобождающей креативный потенциал языковой личности, является и сама языковая реальность. Филологи, анализируя процессы, происходящие в ней, называют ее деривационной, «поскольку человек говорящий творит свой неповторимый мир, создавая целые классы неолексем, порожденных его языковым сознанием». В этой связи примечательны слова В. Гумбольдта, который писал: «В любой период своего развития язык, подобно самой природе, представляется человеку – в отличие от всего уже познанного и продуманного им – неисчерпаемой сокровищницей, в которой дух всегда может открыть что-то неведомое, а чувство – всегда по-новому воспринять что-то ещё не прочувствованное».
Социокультурная реальность – это обширное коммуникативно-языковое пространство с большим набором дискурсивных практик, воплощающихся как в сфере социальных институтов, так и в повседневной жизни. Соответственно, языковая деятельность ЯЛ может быть представлена как совокупность дискурсивных практик, организующих, архивирующих и интерпретирующих социокультурную реальность.
Повседневность-институциональность
Становление личности в обществе – это процесс выстраивания ее идентичности, в том числе и новых ее вариантов, возникающих в изменяющихся условиях жизни. Происходит расширение дискурсивного пространства личности, которое должно быть превращено в культурное пространство. Формирование ЯЛ в рассматриваемом аспекте может быть представлено через диалектику взаимодействия повседневного и институционального дискурса.
Повседневный дискурс – это та часть языковой реальности, которую индивид застает в раннем онтогенезе и которая изначально явлена ему в синкретичном виде (лексический состав, грамматическая структура языка, нормы языковой коммуникации не дифференцированы). Используя терминологию Х. Йоаса, это первичная социальность. Повседневный дискурс, складываясь в пространстве обыденного бытия, является той средой, на освоение содержания которой в первую очередь направлены усилия формирующейся ЯЛ. «Грамматика повседневности, - отмечает Т.Б. Кудряшова, - указывает, что в своей главной интенции обыденная жизнь стремится к освоению близлежащего мира. … Логика освоения, интериоризации определяет путь от того, что находится на границе «свой-чужой» и еще не интериоризовано (или недоинтеризовано) – к тому, что станет впоследствии принадлежащим к внутреннему миру человека, обусловит его речь, сферу мотивации поступков, понимание».
Повседневный дискурс отличает личностно-эгоцентрическая природа. В структурном плане центр обыденного нарратива образует Я-позиция, что, в свою очередь определяет и его содержание – обыденную реальность, повседневный мир индивида-носителя языка. Обыденный дискурс ЯЛ неповторим в своей индивидуальности, но при этом и достаточно изменчив, подвижен, поскольку включает в себя повседневную реальность как самого субъекта носителя языка, так и частично формируется за счет проникновения дискурса других людей. Через включение в обыденный дискурс происходит освоение социального плана бытия за счет совмещения в различных дискурсивных практиках индивидуальной самобытности личности с социальной мотивацией. Объективность этого процесса обусловлена конвенциями статусно-ролевой структурой взаимодействия участников социальной коммуникации.
Второй особенностью повседневного дискурса является его диффузность. Дискурс повседневности поглощает иные лискурсы, упрощая их, приближая к обыденному языку. В нем происходит слияние различных клише, как принадлежащих ему, так и заимствованных из других видов дискурсов. Присутствие этих заимствований в повседневной речи постепенно становится естественным и незаметным, имманентным повседневному дискурсу. Сложившиеся стереотипные словоупотребления выполняют функцию регулирования повседневного процесса общения, задавая сходные представления о том или ином объекте как предмете обсуждения и тем самым помогая налаживанию межличностной вербальной коммуникации. Диффузность повседневного дискурса обеспечивает, с одной стороны, активное овладение ЯЛ разнообразной лексикой, тем самым обогащая индивидуальный вокабуляр, с другой стороны, формирует устойчивые языковые стереотипы (клише), а также правила языковой коммуникации.
Формулируя один из значимых признаков повседневного дискурса, отличающих его от дискурса институционального, М.Л. Макаров указывает на то, что в повседневном дискурсе «целей много, и они обычно имеют локальный характер». Локальность и множественность целей повседневного дискурса обусловлены многообразием частных коммуникативных ситуаций, возникающих в повседневной коммуникации. Выполнив конкретную коммуникативную функцию (например, прокомментировать какое-либо действие, передать информации, необходимую для решения бытовых задач, выразить свое отношение к некоторым событиям) и тем самым исчерпав локальную коммуникативную ситуацию, повседневный дискурс гасится сопутствующим ему действием. В этом проявляется, пользуясь терминологией М. Фуко, принцип забвения: «дискурсы, которые исчезают вместе с тем актом, в котором они были высказаны».
Неинституциональный дискурс дифференцирован в зависимости от характера сообществ, вовлеченных в него. По мнению И.В. Силантьева, есть два вида оснований, доминирующих при формирования этих сообществ, - интерперсональные и ситуативные. Интерперсональные основания связывают участников дискурса независимо от ситуации общения и формируют относительно стабильные общности. Для них характерна достаточно отчетливая выраженность ролевой структуры, устойчивость выработанных принципов коммуникации (например, семейный дискурс, повседневное общение на работе). Указанные характеристики – наличие ролевой структуры и сложившиеся устойчивые принципы общения - сближают интерперсональные дискурсы с институциональными. Существенное отличие первых от вторых заключается в том, что в неинституциональных дискурсах цель общения находится в пределах самого коммуникативного акта и, как уже отмечалось, с завершением действия исчерпывается и сам дискурс. В институциональном дискурсе цель, как правило, вынесена за границы отдельного коммуникативного акта, но имманентна дискурсу в целом. Любой профессиональный дискурс (например, научный, правовой и другие) ориентирован на достижение соответствующих целей и всегда воспроизводится в достаточно устойчивых вербальных формах, когда данная цель возникает. Интерперсональный же дискурс прежде всего ориентирован на общение как самоцель и поэтому даже при устойчивости статусно-ролевых позиций достаточно вариабелен.
Ситуативные основания неинстиуционального дискурса объединяют участников коммуникации, которые, как правило, случайно собрались одновременно в определенном месте при конкретных обстоятельствах (очередь в магазине, попутчики в купе). Принципы общения в рамках такого нестабильного объединения складываются стихийно и в большей степени определяются личностными особенностями коммуникантов.
Ситуативные дискурсы диаметрально противоположны институциональным. Как отмечает О.Г. Ревзина, «повседневный дискурс – едва ли не единственный, где не действует сформулированный М. Фуко принцип «прореживания говорящих субъектов»». Согласно этому принципу, в порядок дискурса никогда не вступит тот, кто не отвечает определенным требованиям или изначально не имеет на это права. Специфика неинституционального дискурса как раз и заключается в том, что тип субъекта для него нерелевантен, поскольку вовлеченность в него не предполагает жестких требований к говорящему, общепризнанных в данном языковом сообществе.
Неиституционализированный дискурс может дифференцироваться не только по горизонтали, но и по вертикали, переходя от сокращенного к расширенному коду общения. Б. Бернстайн, описывая их специфику, прослеживает эти трудности перехода в рамках определенных социальных различий. Сокращенный код общения характерен для неинституционального дискурса в условиях, когда коммуниканты хорошо знают друг друга, обсуждают обычные бытовые дела или жизненные проблемы (например, супруги, прожившие вместе много лет, дети или подростки в группах сверстников и пр.). Лексикон варьируется, но в очень узком диапазоне, ограниченность вербальных кодов восполняется богатством невербального ресурса, более важным является не то, о чем говорится, а то, как говорится, намерение слушающего принимаются как само собой разумеющееся. «Содержание речи, – подводит итог Б. Бернстайн, - скорее конкретное, описательное, нарративное, чем аналитическое и абстрактное». Основная функция этого кода заключается в том, чтобы усилить определенный вид социальных отношений (the form of the social relationship), ограничивая вербальные сигналы индивидуальных откликов.
За рамками обыденного общения, когда в процесс коммуникации вовлекаются незнакомые люди, говорящий должен создавать дополнительную информацию, основываясь на своих предположениях относительно их знаний или намерений. Соответственно, расширение кода влечет за собой сужение контекста. Как отмечает Бернстайн, у представителей среднего класса, получивших систематическое образование, проблема переключения кодов не стоит (по крайней мере, не должна стоять), ибо в условиях современной цивилизации этому обучают в школах и университетах. В то же время для недостаточно образованных социальных слоев переход от узкого кода более широкому может представлять серьезные затруднения, что может быть существенным препятствием для самореализации.
В рамках неинституционализированных дискурсов происходит активное повседневное отрабатывание носителем языка различных разговорных практик, индивидуальный отбор и освоение норм и типовых сценариев речевого поведения. Вместе с тем, именно разнообразие неинституциональных дискурсов, в которых тесно взаимосвязаны интерперсональные и ситуативные основания, коммуникативно-языковые конвенции достаточно гибки и подвижны, создает благоприятную среду для проявления лингвистического творчества ЯЛ, его активное индивидуализированное освоение языка как тончайшего коммуникативного инструмента.
Институциональность оказывает стабилизирующее воздействие на дискурсы (часто условия общения в рамках институциональных дискурсов оговариваются специально в различных предписаниях, законах, инструкциях, руководствах). Неинституционализированные дискурсы отличаются подвижностью границ. Основной установкой их участников является ориентация на свободное общение вне строго установленных норм и правил. Сказанное, однако, не означает абсолютную неурегулированность, спорадичность повседневного дискурса. Присущие ему правила и стереотипы вырабатываются в ходе совместной социально-коммуникативной практики в пространстве национально-коммуникативного сообщества, осваиваются индуктивным путем в виде устойчивых речевых моделей, отрабатываются на личном опыте
2.3 Особенности формирования ценностной сферы языковой личности в процессе социализации
Ценностная сфера является центральным образованием языковой личности, ее «ядром», задающим направленность языковой деятельности и определяющим отношение «человек - мир». Уникальная система ценностей, присущая личности как носителю языка в сочетании с социальными условиями ее развития - фундаментальные детерминанты порождаемого ЯЛ дискурса как разновидности социального действия.
Очевидное многообразие взглядов на сущность ценности отражает как разницу исходных методологических принципов, так и многогранность самого явления. В разных подходах тематизируются различные аспекты феномена ценности: онтологический, гносеологический, герменевтический, антропологический, праксеологический. Однако каждый из этих ракурсов так или иначе предполагает рассмотрение ценности исходя из перспективы взаимоотношений личности, общества и мира в целом. «Ценности в этом смысле, - отмечает Л. Баева, - выступают мерой участия личности в становлении бытия и критерием значимости бытия (его феноменов) для развития личности».
В исследованиях по аксиологии обычно указывают три теоретических подхода к пониманию ценности, которые в свою очередь также неоднородны внутри себя. Ценность рассматривается, как 1) объективное бытие, постигаемое субъектом в процессе разнообразной практической деятельности; 2) как субъективный феномен, имеющий своим источником совокупность интеллектуальных, психологических, нравственных особенностей личности, проявляющихся вовне; 3) как субъективно-объективный феномен, особая природа которого проявляется только в отношениях между субъектом и объективным бытием.
Суммируя некоторые основополагающие представления о природе ценностей, сформулируем ряд положений, имеющих непосредственное значение для последующих рассуждений.
Ценность воплощает в себе единство объективного и субъективного. Она объективна в том смысле, что охватывает область потенциального, возможного бытия, воплощает его открытость по направлению к человеку. Пользуясь выражением М. Туровского, это способ «адресовать личности предметное богатство культуры». Образно говоря, посредством ценностей бытие в его социально-культурном воплощении обращается к человеку.
Вместе с тем ценности не существуют независимо от субъекта. Они наполняются смыслом и содержанием лишь в пространстве отношений «человек–общество» или «Я–Другой». Ярким воплощением субъективно-объективной природы этих феноменов являются экзистенциальные ценности. Не имея внеличностного источника, они, тем не менее, обладают своим собственным бытием, став всеобщими и вневременными.
Будучи феноменом индивидуального сознания, ценности характеризуется направленностью вовне (интенциональностью) в сферу должного или совершенного. Изначальное формирование ценностного отношения связано с наличием влечения, выражающегося в стремлении овладеть предметом интереса, тем самым воплотив некую потенциальную идею в конкретную материальную форму (вещь, поступок). Сам способ бытия ценности, по сути, заключается в усилии достижения.
Актуализация направленности в сфере сознания личности всегда происходит по линии соприкосновения границ двух миров – внутреннего, субъективного, и внешнего, объективного, мира (социального, природного) и осознается либо как удовлетворенность, либо как неудовлетворенность. Отсюда, соответственно, проистекает стремление индивида стать причастным к ценности, воплотить ее, или, наоборот, противопоставить традиционной, общепринятой ценности нечто иное.
В содержании ценности неразрывно связаны значимость, смысл и переживание. С.Л. Рубинштейн в работе «Человек и мир», подчеркивая производность ценностей от соотношения мира и человека, отмечал, что ценность выражает то, что в мире значимо для человека. Ценность это идеал, который задает направленность внутренней и внешней активности человека. Однако отношение к чему-то как значимому возможно только в том случае, когда оно наполнено смыслом. Через смысловой анализ поведения определяется область значимого для человека, происходит переоценка ценностей, формируется духовная жизнь личности. Именно поиск и выявление смысла определяют значимость ценности для личности и связывают ее с переживанием, т.е. сферой субъективного, глубоко личного и уникального жизненного опыта. Смысл, соединенный с переживанием, воплощает в себе значимость. Переживание реализуется в чувственно-эмоциональных формах или экзистенциально-интеллетуальных размышлениях. Г. Риккерт, анализируя это понятие, отмечает, что переживаемое означает то, что «пережитое» нами «не осталось нам чуждым, но сделалось нашим достоянием, частью нашего Я, глубоко погрузилось в наше существо и дало там твердые ростки. В этом аспекте ценность можно определить как субъективно переживаемую значимость смысла.
Бытие ценностей непосредственно связано с социальными нормами. «На уровне общества, - полагает Н.Н. Покровская, - ценности существуют как особая социальная, культурно-духовно нормативная среда (или сфера), которая воздействует на сознание и поведение социальных субъектов и определяет как основные параметры мировоззрения личности, так и целевые ориентиры данного общества». Как следует из смысла данного высказывания, нормы и ценности как феномены культурного пространства образуют единое целое и фактически граница между обозначающими их понятиями стирается. Точка зрения об их взаимозаменяемости достаточно распространена в научной литературе. Не углубляясь в дискуссию по поводу их соотношения, отметим, что при всей близости их смыслов, они не тождественны. Как справедливо полагает Э.Р. Григорьян, нормы – это, образно говоря, «стражи порядка и хранители ценностей. Даже простейшие нормы поведения олицетворяют то, что ценится группой или обществом». Если нормы – это правила поведения, то ценности – абстрактные понятия о том, что есть добро и зло, правильное и неправильное, должное и недолжное. Нормы воплощают ценности в поведении. Добавим, что с точки зрения субъективного восприятия, нормы могут сближаться и даже сливаться в индивидуальном сознании в единое целое с общественными ценностями в том случае, когда перестают быть чем-то внешним по отношению к системе внутренних ценностей личности и воплощаются в триединстве значимость – смысл – переживание.
Таким образом, ценность – это идеальный феномен, в котором взаимосвязь человека и мира, личности и общества реализуется через субъективное отношение индивида к определенному объекту или явлению, выражающееся в единстве значимости, смысла и переживания.
Совокупность ценностей складывается как устойчивое отношение к различным аспектам бытия, или ценностную ориентацию. В структуре личности ценностные ориентации образуют систему, которая, с одной стороны, выражает ценностные приоритеты самого человека, а, с другой – иерархию социальных ценностных ориентаций.
Сформированная и относительно устойчивая система ценностных ориентаций является важным фактором, обеспечивающим целостность, самостоятельность и индивидуальную неповторимость личности. По отношению к языковой личности такую интегративную функцию выполняет ценностная иерархия, отражающая комплекс определенных отношений.
Формирование ценностной структуры ЯЛ происходит в процессе языковой социализации, т.е. овладения языком как коммуникативным средством, обусловливающим социальное взаимодействие личности и языкового сообщества. Основным механизмом, обеспечивающим не просто встраивание индивида в культурно-языковое пространство социума, но и формирование его субъектности как носителя языка, является интериоризация ценностей, т.е. «внутриличностный процесс формирования индивидуальной, целостной и иерархичной системы ценностей личности, который заключается в становлении у индивида значимости правил, инструментов и целей социального участия».
Два полюса дискуссии о сущности процесса интериоризации ценностей представлены сторонниками структуралистского (Э. Дюркгейм, К. Маркс, П.А. Сорокин, Т. Парсонс, Ч. Моррис) и экзистенциалистского (М. Вебер, И. Гоффман, А. Шюц) подходов. Если первые исходили из признания того, что освоение индивидом ценностей – не что иное, как механизм упорядочивания социальных практик, ценности – это стандартизированные представления, синхронизирующие диспозиции и установки членов общества, и интериоризация детерминирована только социальными условиями, то вторые, напротив, рассматривали общество как совокупность индивидуальных выборов в конкретных ситуациях, основанных на индивидуальной экзистенции. Соответственно, интериоризация ценностей зависит от личностных особенностей человека, свободного в своем выборе понятий, представлений, идеалов, на основе которых субъектами создаются конструкты социальных процессов.
Крайности двух указанных позиций снимаются в ряде интегративных подходов (учение о габитусе П. Бурдьё, теория структурации Э. Гидденса, теория постматериалистического сдвига в индустриальных обществах Р. Инглхарта, теория социального конструирования реальности П. Бергера и Т. Лукмана), описывающих различные модели взаимодействия личности и общества в процессе интериоризации ценностей, пути преодоления агентом социальных отношений рамок системы и конструирования социальной реальности. В этом смысле ценности - не что иное, как мера участия личности в становлении бытия и критерий значимости его феноменов для личностного развития.
Общая логика процесса интериоризации ценностей, основанная на концепции лингвистического габитуса П. Бурдьё, включает в себя три этапа. На первом этапе, когда носитель языка еще не включен в широкий круг социальных институтов, усвоение лексики, грамматической структуры языка, правил речи, некоторых культурных концептов происходит стихийно и неосознанно. Как подчеркивает Л.А. Микешина, это осуществляется не только и не столько в форме овладения словарем, синтаксисом и грамматикой, сколько именно через неосознаваемое приобщение к фонду культуры и исторического бытия данного языка, который становится неявным знанием каждого индивидуума. Основным познавательным инструментом являются по большей части не эксплицируемые правила языкового поведения. Предпосланный индивиду синкретичный комплекс языковых ценностей и норм, символизирующих определенный порядок власти, источник легитимности которой скрыт в толще социальной реальности, изначально не имеет для него осознаваемой ценностной значимости, закрепляясь в виде лингвистического габитуса.
На втором этапе, связанном, как правило, с включением в институционализированную систему образования, стихийное принятие социально-культурных, языковых и речевых норм дополняется освоением нормативной основы языка в процессе обучения. В данном случае можно говорить о привычном восприятии правил организации дискурса, являющемся результатом хабитуализации, т.е. стихийного формирования определенных привычек (от особенностей лексики и правил речевой коммуникации до используемых прецедентных текстов). «Объективные структуры» социального пространства, согласно П. Бурдьё, «склоняют агентов брать социальный мир скорее таким, каков он есть, к принятию его как само собой разумеющегося…. Чувство позиции, как чувство того, что можно и что нельзя «себе позволить», заключает в себе негласное принятие своей позиции, чувство границ («это не для нас»), или, что сводится к тому же, чувство дистанции, которую обозначают и держат, уважают или заставляют других уважать…». Индивидуальный лингвистический габитус понимается французским социологом как результат последовательных позитивных и негативных подкреплений в семье, школе и других значимых языковых коллективах. «Система последовательных подкреплений и опровержений, таким образом, конституирует в каждом из нас определенное чувство социальной ценности лингвистических употреблений и соотношения между различными употреблениями и разными рынками, [чувства], которое организует все последующие восприятия лингвистических продуктов, с тенденцией наделения его стабильностью».
Третий этап интериоризации ценностей, переход к которому означает оформление личностной аксиологической структуры, достигается в процессе наполнения носителя языка социальным содержанием. Усвоение нормативности с неизбежностью приводит к вопросу о легитимности норм. «Вопрос о легитимности возникает из самой возможности спрашивать, ставить под вопрос, из разрыва с доксой, которая воспринимает обычный порядок как сам по себе разумеющийся». Агент, задающий вопрос о легитимности социального поля, то есть подвергающий его сомнению, перестает быть агентом и становится субъектом, осуществляющим рефлексию по поводу оснований социальности. Таким образом, результатом интериоризации ценностей становится формирование субъектности, т.е. готовности и способности личности выйти за пределы рутинизированной практики путем ее проблематизации и преобразования.
Оформление ценностной структуры ЯЛ осуществляется как процесс усвоения и освоения лингвистических (например, правильность, грамотность речи, языковой вкус, красота языка) и внелингвистических (например, уважение к личности, ответственность, доверие, искренность) ценностей, тесно связанных друг с другом и реализующихся в языковой деятельности индивида. Ценностная структура ЯЛ включает в себя, во-первых, диапазон ценностей, охватывающий коммуникативно-языковое пространство жизненного мира человека, во-вторых, иерархический порядок, предполагающий восхождение от прагматичных к экзистенциальным и от коллективных к индивидуальным ценностям. Системообразующими направлениями формирования ценностной структуры языковой личности являются ценности, относящиеся к языку как культурному коду нации, и коммуникативные ценности. Образно говоря, это оси, по которым происходит кристаллизация ценностной структуры ЯЛ, определяющей перспективы и пределы развития индивида как носителя языка, свободу личного ценностного выбора в процессе языковой деятельности.
Язык как ценность
Общечеловеческая значимость языка как социально-культурного феномена не подлежит сомнению. Язык – это не только система знаков, но и исторически сложившаяся форма культуры народа. Он неразрывно связан с жизнедеятельностью каждого члена общества и влияет на его становление и развитие. Языковые концепты в виде концептуальной памяти, закрепленной в тезаурусе языковой личности, обеспечивают стабильность и преемственность духовной культуры этноса, формирование языковой картины мира.
Значимость языка как к ценности – социально-культурная модальность, присущая общественному сознанию и объективно предпосланная индивиду. Однако на уровне отдельного носителя отношение к языку как к «неделимому всеобщему достоянию» (Н. Хомский) – отнюдь не данность. Нарушив идиллию «лингвистического коммунизма», ранее свойственную лингвистике, Н. Хомский подчеркивал, что не существует идеального говорящего-слушающего, который помещен в полностью гомогенное языковое сообщество, в совершенстве знает свой язык и никогда не отклоняется от грамматической нормы», необходимо проводить «различие между компетенцией (знанием своего языка говорящим-слушающим) и употреблением (реальным использованием языка в конкретных ситуациях)». Высказанное в ином теоретическом контексте, в свете аксиологического подхода это суждение автора генеративной лингвистики подводит к мысли о том, что отношение ЯЛ к языку как к ценности, всегда реализуемое в языковой деятельности, складывается как система, включающая в себя осознаваемые и неосознаваемые индивидуальные установки, оценки, идеалы, которые отражают, во-первых, ценностные приоритеты в этой сфере самой личности, а, во-вторых, их совпадение (или несовпадение) с социально значимыми ценностями.
В основе ценностного отношения к языку лежит признание его значимости как инструмента социальной коммуникации. Однако применительно к отдельной ЯЛ речь идет не о ценности языка вообще, а о конкретной ситуации социального выбора, в которой она актуализируется.
Во-первых, язык значим для ЯЛ как средство конструирования социальной идентичности особенно в условиях конкуренции, когда лингвистический ресурс может быть использован для достижения персонального успеха (уважение со стороны окружающих, карьерный рост, «пропуск» в референтное сообщество). Предложенный П. Бурдьё проект символических обменов на лингвистическом рынке, эта «новая политэкономия языка», до известной степени позволяет понять логику формирования ценностной значимости языка в этом аспекте.
Если это монолингвистический рынок, предполагающий единство языкового пространства, когда только один из языков (например, в ситуации билингвизма) или один узус (в ситуации классового общества) считается легитимным, то связь между «овладением официальным языком и возможностями материального и символического преуспевания становится внятна всем без исключения: законы формирования цен в определенном секторе рынка объективно сулят это преуспевание только тем, кто владеет определенным языковым капиталом, - пишет П. Бурдьё. Он приводит ряд примеров (школьные экзамены, собеседования перед приемом на работу), демонстрирующих, что «языковые характеристики в огромной мере влияют на школьные успехи, увеличивают шансы быть принятым на работу, способствуют профессиональному росту, позволяют надеяться на более внимательное отношение со стороны врачей (которые охотнее прислушиваются к пациентам из буржуазной среды и их речам и, в частности, ставят им более обнадеживающие диагнозы) и вообще в большей мере располагают слушающих к тому, чтобы сотрудничать с говорящими, помогать им и верить предоставляемой ими информации. Таким образом, стремление ЯЛ повысить свой социальный статус с помощью языка выражается, во-первых, в строгом следовании официально легитимированной языковой норме, во-вторых, в принятии в качестве персональных тех лингвистических ценностей, которые признаны в данном языковом сообществе.
Иная ситуация складывается в условиях плюрализации лингвистического рынка, где все более характерным становится так называемое «единое множественное» как результат возрастания роли «групп идентичности», формируемых на основе приверженности определенным ценностям, размывание общепринятых норм речевой коммуникации. На смену господству единой общепринятой языковой норме литературного языка приходят ситуативные нормы, отвечающие устремлениям членам локальных сообществ, напоминающих, по выражению В. Мизино, тусовку, т.е. форму «…самоорганизации художественной среды в ситуации отсутствия институций и государственного протекционизма».
По мнению ряда авторов, именно такая ситуация характерна для общества постмодерна, породившего, с одной стороны, особый тип индивидуализма, когда «индивидуальное стремление к счастью и самовыражению оттесняет существующее с незапамятных времен главенство суждения другого…», а, с другой стороны, соответствующую ему так называемую «мягкую социализацию», при которой традиции, нормы стали не такими принудительными, стало больше возможностей для развития индивидуальности.
В то же время повышается ответственность самого человека за собственную социализацию, обновление собственного жизненного опыта, самоопределение в меняющихся обстоятельствах, адаптация к новым социально-культурным условиям. В меняющихся социальных условиях трансформируются и ценностные ориентации ЯЛ. Определенный уровень свободы в проявлении ценностных предпочтений, реализуемых в языковой деятельности, позволяет ЯЛ ранжировать их и, следовательно, выбирать различные стратегии языковой деятельности: совершенствовать знание языка, если это необходимо для карьеры или доставляет удовольствие или, напротив, не иметь высоких притязаний в этой сфере; успешно переключаться с одного языкового кода на другой или не изучать другие языки; использовать субкоды различных социальных групп или придерживаться официальной нормы. Однако в любом случае, предъявление индивидом своего символического капитала на лингвистическом рынке, независимо от структуры последнего, означает личный выбор в пользу той или иной ценностной ориентации. На смену неосознаваемой легитимации по принципу «так принято» или «так надо» приходит прагматическая легитимация, в основе которой лежит стремление закрепиться на определенной социальной позиции.
Вторым значимым аспектом формирования ценностного отношения к языку является его тесная связь с этносом. Языковая социализация происходит в процессе присвоения и раскодирования семиотических знаков культурных предметов, присущих определенному этносу. «Общность языка, - пишут Э. Балибар и Э. Валлерстайн - привязывает индивидов к источнику, который в любой момент может быть активизирован, который содержит в себе общее действие обмена, дискурсивного общения между этими индивидами». При этом удаленность носителей языка друг от друга не снижает его персональной значимости, а, напротив, при определенных обстоятельствах может усиливать ее.
Повышению персональной ценностной значимости языка для членов этноса способствует ряд объективных условий, общей характеристикой которых является наличие определенного конфликта, обостряющего для языковой личности ситуацию личного ценностного выбора. Во-первых, это кризисное состояние этнической группы или отдельного носителя языка, грозящее ассимиляцией и утратой этнических ценностей. При таких обстоятельствах аксиологическая значимость языка как атрибута этнической идентичности особенно возрастает и может занимать в индивидуальной структуре ценностей доминирующее положение. Во-вторых, межнациональные конфликты, когда и в коллективном сознании этноса и на индивидуальном уровне язык фетишизируется, становясь наиболее ярким маркером, обозначающим границу между своими и чужими. Следствием мифологизации языка становится достаточно типичная ситуация, когда даже плохо владеющие национальным языком представители этноса считают его родным, тем самым придавая ему высокий ценностный статус. В-третьих, субъективная значимость такого отношения наиболее отчетливо осознается и эмоционально глубоко переживается ЯЛ не в мононациональной, а в поликультурной и многонациональной среде, т.е. в ситуации языковой альтернативы, настоятельно диктующей индивиду необходимость выбора.
Отечественными и зарубежными авторами отмечается, что в отношении к языку как к культурно-этнической ценности прагматический смысл уходит на второй план, уступая место смыслу духовно-символическому. «Без сомнения, верно, что язык – это самая главная черта, характеризующая особую этническую идентичность. Но этничность больше связана с символическим значением особого языка, а не с его фактическим употреблением всеми членами группы» – пишет Дж. Де-Вос. Так, наблюдения Б. Уолда, изучавшего отношение кенийцев – жителей Момбасы к двум разновидностям языка суахили – стандартному и «Момбаса суахили» - свидетельствуют о ценностной дифференциации этих диалектов. Стандартный суахили воспринимается как средство достижения экономического успеха, а внутренний суахили – это символ местного самосознания и поэзии.
Этот вывод подтверждается данными, полученными при изучении языковых предпочтений в различных многонациональных регионах Российской Федерации (Бурятии, Мари-Эл, Коми, Дагестане). Как отмечают, например, авторы одного из исследований марийского языка, он выступает как этнический язык, выполняющий «роль символа единения с народом» (этническая ценность), и как родной (материнский) язык – язык матери, первый выученный язык. При этом важное значение приобретает не «реальное использование этнического языка, а желаемое языковое поведение», предпочтение языка. «Родной язык, будучи зачастую функционально вторым, не является основным средством коммуникации, но ориентация на родной язык сохраняется». Однако те же самые исследования показывают, что власть этноса, реализуемая через язык, не является безраздельной и определяется не только социально-историческими условиями, но и свободой выбора языкового предпочтения.
Противоречие между двумя системами ценностных ориентаций языковых личностей - билингвов (на успех в социуме и на сохранение духовной принадлежности к замкнутой культурной локальности этноса) может порождать такое сложное социально-языковое явление, как диглоссия. Для этого феномена характерно функциональное распространение языков, при котором один из них используется в институциональном дискурсе, а второй – преимущественно в повседневном. Диглоссия нередко обусловлена фактором престижности одного языка, второй же при этом субъективно воспринимается амбивалентно: как средство сниженного общения, но в то же время и как хранилище национального духа.
Можно предположить, что диглоссия и шире – билингвизм – оказывают заметное влияние на формирование ЯЛ в части формирования ее тезауруса и прагматикона. «Билингвизм, - отмечает О.А. Колыхалова, - выступает как средство создания широкого поля потенциальной идентичности индивида, давая ему возможность сознательно, на основе выбора, определить свою культурную принадлежность».
Овладение другим языком (языками) позволяет языковой личности свободнее и разнообразнее проявлять свою субъектность, расширять свой менталитет. Индивид, пользуясь выражением О.А. Колыхаловой. «уходит из-под диктата коллективного подсознания, используя язык для личного самоопределения в культурах и социальных контекстах: границы культурных интерпретаций становятся подвижными, мир личности обретает полноту и глубину вновь осваиваемых смыслов».
Ценностное отношение к языку проявляется в эстетическом наслаждении им в силу таких имманентно присущих его речевой форме свойств, как поэтичность, ритмичность, благозвучие, гармоничность. Субъективно это может воплощаться по-разному. Во-первых, в осознанной оценке и эмоционально окрашенном переживании отдельных языковых явлений с точки зрения их красоты или безобразности. Во-вторых, в признании языковой нормы и следовании ей при умении творчески преобразовывать, играть с ней, не теряя языкового вкуса. Как писал по этому поводу Л.В. Щерба, «умея правильно выбирать и употреблять средства языка в зависимости от целей и коммуникативных установок речи, носитель литературного языка может себе позволить намеренное отступление от принятой нормы, языковую игру. Если отступление от нормативного изложения оправдано (…), то перед нами не ошибка, а речевой прием, свидетельствующий о свободе, с которой человек обращается с языком, о его языковом вкусе». В-третьих, в наличии в системе языковых ценностей лингвистического идеала как эталона языка, сложившегося на базе национальной языковой и речевой культуры.
Объективные факторы, способствующие запуску механизма личностного переживания языка как эстетической ценности, относятся как к истории становления языка как культурного феномена, так и к актуальной социальной реальности. Истоки этого отношения уходят в глубины мифологического сознания с присущей ему неконвенциональной трактовкой знака, что выражалось в магической функции языка (священное слово как обозначающее совпадает с обозначаемым), и эстетической функции – переживании красоты его звучания. «С точки зрения психологии и семиотики, неконвенциональная трактовка знака в сакральном тексте предстает как иррациональное и субъективно-пристрастное отношение к слову. Это роднит религиозное восприятие священного слова и художественное (эстетическое) отношение к речи», - отмечает Н.Б. Мечковская. На родство первобытного языка и языка поэзии указывал Ж. Бодрийяр: «Поэтический язык, как и символический обмен, работает со строго ограниченным, изъятым из свободного оборота набором элементов», - писал он в труде «Символический обмен и смерть». У Р.О. Якобсона встречаем мысль о том, что особенность поэтической функции языка в том, что она предполагает «интровертивное отношение к вербальным знакам как единству означающего и означаемого». На этой идее принципиального отличия поэтической речи от обыденной или научной базировались попытки формальной школы построить теорию поэтического языка как особым образом организованной структуры. Отсюда утверждение Якобсона о том, что поэтическая функция языка проявляется в речи любого человека с раннего детства и играет ведущую роль в построении диалога, а каждый речевой акт в некотором смысле стилизует и преображает описываемое им событие. «Поэтичность - это не просто дополнение речи риторическими украшениями, а общая переоценка речи и всех ее компонентов».
Исторически зародившаяся в недрах практической магии, в современном обществе эстетическая ценность языка, охраняемая главным образом в сфере литературно-художественного творчества, по сути, является трансцендентальной, далекой от языковой прагматики. Это, однако, не означает внепрактический характер ее интериоризации. Способность личности глубоко переживать красоту языка, во многом обусловленная ее индивидуально-психологическими особенностями и лингвистическими ценностями, культивируемыми в ближайшем окружении, в целом, регулируется социально-культурной ситуацией в обществе.
Так, согласно Ж. Бодрийяру, постмодернистский социум отмечен неограниченным производством дискурса в условиях «экономики богатства и расточительства», «утопии изобилия в дискурсивном пространстве», «экономика дискурса имеет дело с неограниченным корпусом, не заботясь о его разрешении». Неизбежным результатом безграничности «языкового капитала как потребительной и меновой стоимости» стало его обесценивание, когда слова, фонемы, означающие производятся «по поводу и без повода, без всякого ритуально-религиозного или же поэтического ограничения, в условиях полной «свободы», вне всяких взаимных обязательств по отношению к этому громадному материалу». Поэзия, по Ж. Бодрийяру, - единственная языковая сфера, которая восстанавливает символический обмен «в самом сердце слов». «В то время как в дискурсе, - пишет он, - сигнификации, устремленные к своим смыслам слова (а внутри них — слоги, согласные и гласные), не отвечают друг другу, не говорят друг с другом, — в поэзии, напротив, инстанция смысла сломана и все конститутивные элементы языка начинают обмениваться, отвечать один другому. Они не «освобождаются», и через их посредство не «освобождается» никакое глубинное или «бессознательное» содержание; они просто вновь вовлекаются в обмен, а это и есть процесс наслаждения».
Своеобразная и далеко не бесспорная трактовка французским философом природы постмодернистской дискурсивности позволяет тем не менее отметить существенные сдвиги, происходящие в отношении к языку в современном обществе. В складывающемся за счет изобилия симулякров дискурсе утрачивается первозданная самоценность языка, уступая место бесконечной игре означающих, служащей инструментом самопрезентации ЯЛ.
Объективно этому способствовала произошедшая к концу XX столетия утрата языком художественной литературы нормотворческой значимости и переход этой функции к средствам масс-медиа, прежде всего, устным. Доминирование устного дискурса над письменным, редуцированность форм экспресс – сообщений, передаваемых с помощью средств массовой коммуникации, обусловили распространение такого явления, как десемантизация лексики, проявляющаяся в том числе в утрате языком ингерентной, неконтекстуальной чувствительности к нюансом. «Нюансировка смысла, - отмечает Г. Хазагеров, - чаще всего передается контекстуально, прежде всего паралингвистически. Большая часть жаргонных слов, а тем более втянутая сегодня в общественное пространство нецензурная лексика вне контекста обладает исключительно обобщенным значением. Отсюда неспособность выражать нюансы мысли в обстановке отложенной прагматики, например, в создании текстов, обращенных к далекой или малознакомой аудитории, тем более тестов, рассчитанных на долгое бытование (художественных книг, эссе, философской публицистики)».
Отсутствие отчетливо артикулированного и поддержанного языковым сообществом социального запроса на воспроизводство эстетической ценности языка в дискурсопорождающей деятельности не способствует ее формированию в индивидуальной ценностной структуре ЯЛ. Объективно это предопределила произошедшая к концу XX столетия утрата языком художественной литературы нормотворческой значимости и переход этой функции к средствам масс-медиа. Доминирование устного дискурса, редуцированность форм экспресс – сообщений, передаваемых с помощью средств массовой коммуникации, обусловили распространение такого явления, как десемантизация лексики, проявляющегося в утрате языком чувствительности к нюансам. «Нюансировка смысла, - отмечает Г. Хазагеров, - чаще всего передается контекстуально, прежде всего паралингвистически. Большая часть жаргонных слов, а тем более втянутая сегодня в общественное пространство нецензурная лексика вне контекста обладает исключительно обобщенным значением».
Зародившаяся в недрах практической магии и воплотившая в себе благоговейное отношение к слову как к непосредственному обозначению предметов и явлений окружающего мира, в современном обществе ценность языка утратила сугубо практический смысл, обретя экзистенциальную значимость. Ее неявная выраженность в системе социально-культурных ценностей носителя языка обусловлена спецификой как содержания, так и механизма порождения. Нельзя не согласиться с М.С. Каганом в том, что экзистенция не сводится к индивидуальному существованию как единственно реальной форме бытия субъекта, «не является свойством человеческой природы, абстрактно-психологически понимаемой психики, а представляет собой один из атрибутов человека как субъекта, постольку осознание этого смысла должно характеризовать субъекта во всех трех его масштабных модификациях — индивидуальной, групповой и родовой». Что же касается механизма ее порождения, то его особенность заключается в том, что любая экзистенциальная ценность не дана непосредственно, «здесь действует, - по словам М.С. Кагана, - тот психологический закон, который известен каждой духовно развитой личности по собственному опыту ее интеллектуальной жизни, — закон самообщения, внутреннего диалога как спора «частичных субъектов» в той «республике субъектов», какой является духовный мир личности». Следовательно, формирование в аксиологической структуре ЯЛ особого отношения к языку как к высшей духовно-эстетической ценности – результат не столько интериоризации языковых узусов, сколько глубинного осмысления и переработки собственного духовного опыта.
Язык как коммуникативная ценность
Утверждение о том, что «коммуникация является ценностью» означает признание ее значимости как способа взаимодействия между различными социальными субъектами, индивидами, группами и общностями. Коммуникация с помощью языка, знаковых систем культуры есть неотъемлемое свойство социального бытия, фактически синоним социальности, поскольку благодаря языковой коммуникации возможно зарождение и развитие всего социального и собственно человеческого в человеке. Очень ёмко эта мысль выражена а В.А. Кутырёвым. «Человек и кто говорит, - пишет он, - сотни тысяч лет было одно и то же. Верно и наоборот: кто говорит, тот и человек. Определение сущности человека по труду или сознанию есть теоретизация. Феноменологически, «для глаза» люди отличались от прочих существ по внешнему облику, а для слуха по владению словом».
Сама по себе коммуникация, не являясь дисскурсом, выступает скорее как отношение, определяющее вектор развития дискурса, как «социальный синтаксис» (по выражению Л.Д. Петрякова). «Коммуникация «в чистом виде», - отмечает указанный автор, - предполагает когеренцию эмоциональных состояний коммуникантов, а не обмен, передачу или воздействие одного на другого».
Специфическая ценность коммуникации выражается, следовательно, в том, что она осуществляет взаимную настройку участников диалога на согласование невербальных кодов (что, однако, далеко не всегда гарантирует взаимопонимание), соответственно, на выбор определенных (релевантных, с точки зрения субъекта дискурса, конкретной ситуации) стратегий и тактик речевого общения. Несовпадение коммуникативной и информационной функций языка и рассогласованность намерений коммуникантов – источник «противоречий мысли и действия, противоречивых чувств, которые начинают испытывать собеседники друг к другу в процессе коммуникации. Это «любовь, которая ранит», формализм отношений, противоречия чувства и долга, нравственности и законности и т.д.», - отмечает Л.Д. Петряков.
Важной коммуникативной составляющей языкового общении являются установки, мотивы, цели индивида, реализуемые в дискурсе, а также их ценностная иерархия. Они являются значимыми индикаторами целостности, сформированности носителя языка как ЯЛ, самостоятельности (субъектности) выбора им тех или иных коммуникативных сценариев. Одно из фундаментальных противоречий, возникающих в процессе порождения дискурса – это противоречие между инструментальностью и этической нормативностью. Речь в данном случае идет об ориентированности конкретного речевого акта на достижение результата в соответствии с целью, поставленной ЯЛ (индивидуальная ценность) или следовании этическим нормам языкового сообщества (коллективная ценность). Направленность персонального дискурса на успешный исход предполагает наличие рационального субъекта, соотносящего свои цели с принятыми сообществом нормами-конвенциями. Однако, как уже указывалось ранее, прагматическая установка авторов теории речевых актов не позволяет учитывать широкий социокультурный контекст, в который включена дискурсивная деятельность носителей языка. В рамках указанного подхода успех речевого акта, достигнутый в соответствии с социально одобренными нормами, уже является коллективной ценностью и принимается за исходную данность.
Последнее допущение, однако, весьма спорно по нескольким причинам. Во-первых, необходимо различать успешность дискурсивного действия языковой личности, проявляющуюся на разных уровнях языковой коммуникации (на уровне лексическом – понимание значений слов, на уровне тезаурусном – понимание ценностно-смыслового содержания высказывания, на уровне прагматическом – получение ожидаемой реакции). С учетом того, что ни в структуре отдельной ЯЛ, ни тем более во взаимодействии нескольких индивидов-носителей языка согласованность этих уровней заранее не задана, вероятность успешного исхода дискурса неопределенна. Во-вторых, успешность дискурса не может отождествляться с успешностью конкретного речевого акта, а выявляется только при оценке целостной языковой ситуации, нередко только лишь в продолжительной временной перспективе. В этом смысле успешность дискурса как социального действия выражается в социально значимых для ЯЛ или языкового сообщества последствиях (они могут быть оценены как позитивные, так и негативные), масштаб которых весьма различен (например, от успешности отдельных переговоров до выбора жизненного пути, от пробуждения интереса к чтению до запрета на сквернословие и т.д.). В-третьих, субъективная трактовка успешности дискурса с точки зрения одной ЯЛ может противоречить пониманию этой ценности другой ЯЛ. Следовательно, ценностный консенсус также не предпослан, а может достигаться (или не достигаться) на основе возможного совместного признания определенных базовых коммуникативных ценностей. Таким образом, успешность дискурса не может рассматриваться как самоценность без соотнесения с другими ценностями. К тому же ориентация исключительно на успех как результат дискурса неизбежно влечет за собой стремление участников коммуникации оказывать давление друг на друга или использовать другие средства принуждения (манипуляция, ложь, умолчание и пр.). В контексте формирования ЯЛ как субъекта дискурса проявление оппозиции инструментальность – нормативность заключается в соотношении ситуативности и устойчивости единства индивидуальных и коллективных ценностей в речевой деятельности индивида.
В философской традиции противоречие между инструментальностью и нормативностью рассматривалось в русле этических концепций соотношения рационального и морального, восходящих к Аристотелю и Канту. Если Аристотель при различении благоразумия, мудрости и нравственных добродетелей обращается к изучению способности совершать поступки в соответствии со знанием, то кантовская обоснованность морального в рациональности в принципе не допускает разрыва рационального и морального. В этике Аристотеля высшая цель и благо совпадают, однако другие цели могут выступать средствами для его достижения. В метафизике же Канта ни одна цель не может стать средством по отношению к благу как высшей цели.
В современной философии, имеющей дело с иной коммуникативно-языковой реальностью, сущность этого противоречия трансформируется в вопрос о качестве социального действия, который рассматривается, например, в рамках концепции диалога (М. Бахтин, Э. Левинас) или парадигмы коммуникативной рациональности (К.- О. Апель, Ю. Хабермас).
Ценность мира в философии поступка М.М. Бахтина ориентирована на ценность Я и ценность Другого. Из признания Бахтиным диалогичности человеческого бытия не следует абсолютная онтологизация ценности. Ценность трактуется как возможность, которая может воплощаться в действительность в процессе развертывания диалога: «ценность как в себе значимая, истина, добро, красота – все это только возможности, которые могут стать действительностью только в поступке на основе признания единственной причастности моей».
Структура аксиологической интерсубъективности по Бахтину предполагает, таким образом, наличие бесконечного множества индивидуальных центров ответственности, неповторимо ценных личных миров. Исходя из персоналистской трактовки бытия, образующего фундамент мира ценностей, философ указывает на два согласующихся между собой ценностных плана: объективно-духовные ценности человечества и субъективно-эмоциональное отношение к ним личности.
Признавая наличие двух указанных ценностных контекстов, Бахтин исходит из множественности «ценностных центров». Поскольку существует множество личностей, предстающих в качестве ценностных центров, постольку ценностная реальность формируется в диалогическом отношении и именно она называется объективной с точки зрения индивидуального «ценностного центра». Как видим, постулирование диалога как исходного объективного условия процесса порождения дискурса языковыми личностями влечет за собой признание такой фундаментальной ценности, как ответственное поведение участников диалога. По сути, в данном случае мы имеем вариант гармонизированной феноменологической интерсубъективности.
Противоречие между инструментальностью и этической нормативностью дискурса как вариант противоположности сущего и должного в языковой коммуникации, онтологически укоренено в структуре интерсубъективности, синтезирующей субъективное и объективное начала социума (Я и Другой – два полюса коммуникации). Важной категорией, в которой реализуется это единство, является ответственность. Как уже отмечалось ранее, структурирование субъективности индивида начинается с освоения им системы личных местоимений и, в частности, номинации себя в первом лице единственном числе «Я». Это же и «точка отсчета» в субъективности индивидуальной ответственности, то есть осознания себя как инициатора собственных действий. Э. Левинас, французский социальный философ, отмечал: «Ответственность переносит центр тяжести отдельного бытия вне его»; «становясь ответственным, я обретаю свою высшую реальность». Согласно Левинасу, ответственность первична, это извечная форма социальности. Ответственность глубоко субъективна, но это субъективность социального существа. Точкой, из которой возникает ответственность, является Я. «Быть Я означает... лишиться возможности уклониться от ответственности». Однако заданность ответственности в системе интерсубъективных ценностей сама по себе не обеспечивает ответственного поведения ЯЛ. Для этого необходимо ее включение в иерархию ценностей отдельного субъекта и закрепление в дискурсивном опыте.
Природа целерационального и ценностнорационального действия, определенная еще М. Вебером в рамках теории социального действия, обсуждается в русле парадигмы коммуникативной рациональности, разрабатываемой К.-О. Апелем, Ю. Хабермасом и их последователями. Центральное место в этой теории занимает конструирование идеально-речевой ситуации, которая дала бы возможность найти баланс между стратегической (инструментальной) и коммуникативной рациональностью. Это необходимо для того, чтобы разработать принципы дискурса, способствующего развитию открытой аргументации. Неслучайно кульминацией универсальной и трансцендентальной (К.-О. Апель) прагматики становится формулирование положений этики дискурса как единственного средства для жизненного мира – не дать ему погрузиться в пучину межличностного непонимания, избежать трагической судьбы атомизированного общества чуждых и обособленных индивидов.
В качестве детерминанты коммуникативного общения рассматривается категория «доверие». Согласно К.-О. Апелю, интерсубъективное взаимодействие предполагает четыре нормативных требования: «Понятность выражения, истинность его пропозициональных составных частей, нормативная правильность в перформативном аспекте и правдивость говорящего субъекта». Все эти составляющие являются важнейшими предпосылками для рождения доверия к своему собеседнику. Доверие является тем фоновым условием повседневной коммуникации, которое способствует раскрытию качества общения.
Тематизация таких ценностей, как ответственность и доверие в процессе языковой коммуникации, во-первых, снимает узко прагматичное понимание ценностного смысла успешности дискурса, а, во-вторых, предполагает учет, в терминах Дж. Пауэлла, аутентичной коммуникации, поскольку допускает участие в дискурсе ЯЛ с разными ментальностями. Реальный дискурс основан не на рационализированном воспроизведении коммуникативных правил, а предполагает креативную деятельность языковой личности и ее готовность к аутентичному, доверительному диалогу с собеседником.
-----
Коммуникативное (а не целерациональное) действие, по мнению Ю. Хабермаса, ориентированное на взаимопонимание, позволяет в формальной процедуре решить конфликт содержательных (ценностных или когнитивных) разногласий. Преимущество «коммуникативного разума» в том, что он позволяет координировать действия. Столкновение «рассудочной» и моральной рациональности как одна из ключевых проблем коммуникативного пространства – это невозможность увязать коммуникативные действия и цели в сферах жизненного мира и социальной системы, которая обусловлена дискурсивным расхождением. «Теория коммуникативного действия» – способ эту дифференциацию преодолеть.
В концепции К.-О. Апеля коммуникативная рациональность рассматривается как способность человека к обоснованию и самостоятельному конструированию содержания своего сознания, характеризующая коммуникативную компетентность партнеров по общению, их умение достигать согласия в процессе коммуникативного акта. Вследствие обладания участниками дискурса коммуникативной компетентностью, в итоге становится возможным обнаружение истины через аргументацию. Все интересы, желания, потребности, цели людей можно осознать и осмыслить только в ходе аргументативного дискурса. Любое недоразумение, возникающее в процессе интеракции, можно разрешить в ходе рационального дискурса и впоследствии продолжить коммуникацию. Вместе с тем подобная формализация, лишенная антропологического экзистенциального измерения, превращается в утопичную схему: «полученная теория не применима ни к одному частному случаю или, в этом же смысле, применима ко всем из них».
Осмысление экзистенциального аспекта языковой личности позволяет выйти за рамки внешних проявлений (выбор предмета речи, речевое оформление сообщаемой информации, тональность и регистр высказывания и т.д.) и восстановить целостное единство ее рациональной, эмоциональной и духовной составляющих. Ведь взаимопонимание и взаимодействие строятся преимущественно на логике смысла (рациональное начало). А воздействие на собеседника и достижение взаимности базируются на общности эмоциональных переживаний и ценностно-смысловых кодов бытия, сформировавшихся в русле национальной духовной традиции. Поэтому рассмотрение языковой личности возможно только через призму культуры, которая составляет фундаментальную часть структуры личности и предопределяет «культурно-антропологический прототип, который формируется в рамках культуры носителя языка».
Культивирование содержательных ценностей, образующих фундамент социального дискурса в процессе формирования ЯЛ, особенно актуально в эпоху «новых медиа», когда процесс коммуникации, по словам А.Н. Фортунатова, «перестает всецело зависеть от воли мыслящей личности, энергетика этого процесса начинает черпать ресурсы уже не внутри субъекта, а в информационном пространстве, возникающем между личностью и «умным» гаджетом, воплощенном, в частности, в чутко реагирующем на его интенции экране».
Становление ЯЛ на основе единства экзистенциальных и социокультурных ценностей выражается в оформлении таких качеств ее ценностного сознания, как самостоятельность, ответственность, доверие. Они значительно менее подвержены динамике по сравнению с изменчивостью ситуации, или контекста взаимодействия. Следовательно, речевая деятельность, обусловленная социокультурными и экзистенциальными характеристиками ЯЛ, определяет ситуацию в большей степени, чем ситуация определяет поведение индивида и, соответственно, больше стремится к устойчивости на основе внутренней иерархии ценностей, чем к ситуативности, управляемой узко инструментальными целями.
Выводы к главе II
1. Субъектность носителя языка формируется в ходе его участия в дискурсе как форме социального действия. В основе этого процесса лежит взаимодействие как лингвистических, так и внелингвистических факторов, реализующихся через диалектику коллективного и индивидуального, проявляющуюся в трех аспектах: конвенциональность – интенциональность и инструментальность – креативность, повседневность-институциональность.
2. Анализ первого аспекта показывает, что структура интенциональности языковой личности не только плод интерсубъективности, но и результат субъективации коллективного коммуникативного опыта. Объективно заданные индивиду языковым сообществом конвенции дискурсивности актуализируются на практике через связь с намерениями говорящего, который осуществляет самостоятельный выбор средств достижения цели и стратегий дискурсивного поведения в условиях относительной неопределенности и разнообразия дискурсивных ситуаций.
Рассмотрение дискурса через единство инструментальности и креативности позволяет поставить вопрос об источниках свободы языковой личности как субъекта дискурсопорождающей деятельности и сконцентрировать внимание на сочетании психологических, культурных, социальных факторов, обусловливающих индивидуальную вариативность в использовании языка.
Диалектика повседневности и институциональности дискурса выявляет специфику содержания коммуникативно-языкового пространства, в пределах которого ЯЛ включается в различные коммуникативные практики.
5. Источником субъективного переживания отношения ЯЛ к языку в том или ином аспекте его личностной значимости является исходная конфликтная ситуация в сфере социальной коммуникации или автокоммуникации, результатом которой является необходимость выбора индивида между различными ценностями.
6. По мере расширения смыслового содержания ценности языка за счет наполнения его богатым социальным и индивидуальным опытом все более выраженным становится внепрагматический, надкоммуникативный характер этой ценности.
7. Ценность коммуникации осознается языковой личностью с точки зрения двух базовых смыслов: успешности в инструментальном смысле как достижения положительного эффекта конкретного дискурсивного акта и успешности в более широком, нормативно-духовном смысле, которую необходимо рассматривать как фундаментальную коммуникативную ценность, формирующую устойчивую иерархию ценностей ЯЛ.
ЗАКЛЮЧЕНИЕ
1. Сложившиеся в современной науке модели языковой личности как результат теоретических изысканий, прежде всего, в сфере языкознания, со временем приобрели метанаучное значение. Лингвистический, антропологический, перформативный повороты – это важные этапы, обозначившие ключевые проблемные пункты в развитии исследовательских программ не только в лингвистике, но и в социально-гуманитарном знании в целом способствовали осмыслению языковой личности как сложной многоуровневой системы, многогранного феномена, в котором воплотились разнообразные формы социальности.
Отличаясь как по принципам построения (иерархические – неиерархические модели), так и по содержательным критериям, отвечающим задачам, решаемым конкретными лингвистическими дисциплинами (лингводидадктические – лингвокультурологические модели), различные концепции языковой личности имеют значительный эпистемологический потенциал, позволяющий успешно применять их к изучению языковой личности в различных аспектах.
2. Подход к языковой личности как интегративной модели не только языковой способности, но и носителя культурно-языковых и коммуникативно-деятельностных ценностей, знаний, установок и поведенческих реакций, выработанный в лингвокультурологии и социолингвистике, создал теоретические предпосылки для более широкой концептуализации этого понятия в социальной философии. Понимание того, что индивид становится целостной, самостоятельной личностью, свободно владеющей языком, не просто в ходе его освоения в учебной деятельности, а как участник социальной коммуникации, вовлеченный в процесс порождения дискурса, требует рассмотрения этого феномена в более широкой социально-философской перспективе.
При этом представляется, что при переходе на новый уровень обобщения базовый концепт «языковая личность» не утрачивает своего познавательного значения и не нуждается в дополнении или замене понятиями «речевая личность», «дискурсивная личность», «коммуникативная личность», поскольку включает в себя не только потенциальную, но и актуальную способность индивида к самовыражению. Язык и речь (дискурс), реализующиеся в социальной коммуникации, неразрывно связаны в языковой личности. Однако поскольку именно язык, является незыблемым фундаментом коммуникативной деятельности в социуме, вполне обоснованно языковая способность берется в качестве социально-культурной доминанты носителя языка.
3. Тематизация языковой личности в поле социально-философских исследований предполагает привлечение концептуально-теоретического аппарата, отражающего современные представления о природе социальности. Введение в исследовательский инструментарий парадигм социального конструктивизма и перформативности, концептов «жизненный мир» и «субъект» выявляет три проблемных узла в исследовании процесса становления языковой личности: 1) специфика дискурса как вида деятельности, 2) специфика социальности как вида реальности, в которой осуществляется дискурсивная деятельность, 3) специфика носителя языка как субъекта дискурсивной деятельности.
Принципы социального конструктивизма и перформативности (последний можно трактовать как конкретизацию первого применительно к дискурсивной деятельности) позволяют рассматривать языковую личность как участника процесса социальной коммуникации, вбирающего в себя огромное разнообразие дискурсивных практик. Включение парадигм социального конструктивизма/перформативности в методологической аппарат социально-философских исследований влечет за собой необходимость определения границ, в пределах которых носитель языка обладает свободой социального конструирования, оставаясь в пространстве интерсубъективности. Вовлечение в сферу социально-философского анализа процесса становления языковой личности концепта «жизненный мир» представляется обоснованным и методологически значимым, позволяя рассматривать носителя языка в неразрывном единстве с означенным и осмысленным пространством бытия человека, в котором сознанию отводится конструктивно-порождающая роль. Проблематизация субъекта как личности в современном социально-коммуникативном пространстве, наиболее концентрированно выраженная в философии постмодернизма, бросает своеобразный вызов социально-гуманитарному знанию, ориентируя его на поиски и выявление онтологических оснований его субъектности.
4. Осуществляемая посредством языка коммуникация языковой личности и языкового сообщества в социокультурном пространстве реализуется как единство трех процессов: 1) субъективизация индивидом предпосланных ему языковых форм и их объективирование в дискурсе; 2) интеграция в языке разнообразных социально-культурных форм в виде определенных языковых и их дифференциация в языковом сознании отдельного носителя языка как участника различных дискурсивных практик; 3) формирование коллективного коммуникативного пространства смыслов и значений и их индивидуализация, осуществляемая в персональном коммуникативном опыте языковой личности.
5. Формирование языковой личности как субъекта языковой деятельности осуществляется в ходе включения носителя языка в разнообразные дискурсивные практики и реализуется через взаимодействие таких полярных свойств дискурса, как интенциональность – конвенциональность, инструментальность – креативность, повседневность – институтциональность. Каждое из указанных диалектических противоречий отражает сферу проявления субъектности языковой личности как активного и самостоятельного участника процесса порождения дискурса: через осознанность и самостоятельность выбора конвенционально закрепленных средств достижения цели и стратегий дискурсивного поведения (интенциональноссть vs конвенциональность), спонтанность дискурсопорождения при использовании общепринятых коммуникативных инструментов (креативность vs инструментальность), многообразие и нормативная вариативность повседневных дискурсов, позволяющее носителю языка относительно свободно проявлять себя в них (повседневность vs институциональность).
6. Формирование системы ценностей языковой личности происходит в процессе освоения носителем языка ценностей и норм, сложившихся в обществе. Лингвистические (правильность, грамотность речи, языковой вкус, красота языка) и внелингвистические (уважение к личности, ответственность, доверие, искренность) ценности образуют индивидуальную для каждой языковой личности иерархию. Устойчивость, целостность и индивидуальное своеобразие персональной ценностной иерархии языковой личности определяется соотношением в ней инструментальных и экзистенциальных, ситуативных и фундаментальных ценностей.
БИБЛИОГРАФИЧЕСКИЙ СПИСОК
```
Ажеж К. Человек говорящий. Вклад лингвистики в гуманитарные науки / К. Ажеж. – М.: Едиториал УРСС, 2003. – 304 с.
Азнабаева Е.Г. Коммуникативно-языковая реальность: онтологические и гносеологические аспекты: автореф. дис. … канд. филос. наук / Е.Г. Азнабаева. – Уфа, 2011. – 24 с.
Ананьев Б.Г. О проблемах современного человекознания / Б.Г. Ананьев. – М.: Наука, 1977. – 379 с.
Апресян Ю. Д. Языковая картина мира и системная лексикография / Ю.Д. Апресян. – М.: Языки славянских культур, 2006. – 910 с.
Арутюнова Н.Д. Дискурс // Лингвистический энциклопедический словарь. – М.: Советская энциклопедия, 1990. – С. 136 – 137.
Арутюнова Н.Д. Язык и мир человека / Н.Д. Арутюнова. – М.: Языки русской культуры, 1999. – 896 с.
Бабошин В.В. Ценности и их отрицание в этике дискурса модерна // Вестник Ставропольского государственного университета. – 2011. – № 73. – С. 173-178.
Баева Л.В. Ценностные основания индивидуального бытия: опыт экзистенциальной аксиологии / Л.В. Баева. – М.: Прометей. МПГУ, 2003. – 240 с.
Базалук Е.И. Целостность языковой личности: функционально-прагматический и риторический аспекты: автореф. дис. … канд. филол. наук. / Е.И. Базалук. – Ставрополь, 2010. – 21 с.
Балибар Э., Валлерстайн Э. Раса, нация, класс. Двусмысленная идентичность / Э. Балибар, Э. Валлерстайн. – М.: Логос, 2004. – 282 с.
Балыкина Г.А. Социально-философский анализ коммуникативных практик: автореф. дис. … канд. филос. наук / Г.А. Балыкина. – Саратов. 2010. – 20 с.
Баранов А.Н. Семиотическая личность кодовые переходы / А.Н. Баранов // Речевая деятельность. Языковое сознание. Общающиеся личности: тезисы докладов ХV Международного симпозиума по психолингвистике и теории коммуникации. – М.– Калуга, 2006. – С. 30-31.
Барт Р. Избранные работы: Семиотика: Поэтика / Р. Барт. – М.: Прогресс, 1989. – 616 с.
Бахтин М.М. Автор и герой в эстетической деятельности / В сб.: Бахтин М.М. Работы 20-х годов. – Киев: «Next», 1974. – С. 7-180.
Бахтин М.М. Эстетика словесного творчества / М.М. бахтин. – М.: Искусство, 1979. – 424 с.
Бахтин М.М. К философии поступка / М.М. Бахтин // Философия и социология науки и техники. Ежегодник. 1984-1985. – М.: Наука, 1986. – С. 80-160.
Бахтин М.М. 1961 год. Заметки / М.М. Бахтин // Собрание сочинений в 7 т. Т. 5. – М.: Русские словари, 1997. – С. 329–360.
Бахтин М. М. Фрейдизм. Формальный метод в литературоведении. Марксизм и философия языка. Статьи / М.М. Бахтин. – М.: Лабиринт, 2000. – 640 с.
Безрукова О.А. Ответственность в социологическом дискурсе /О.А. Безрукова // Социология: теория, методы, маркетинг. – 2010. – № 2. – С. 132-141.
Белл Р.Т. Социолингвистика. Цели, методы и проблемы /Р.Т. Белл. – М.: Международные отношения, 1980. – 320 с.
Бенвенист Э. Общая лингвистика / Э. Бенвенист. – М.: Прогресс, 1974. – 448 с.
Бергер П., Лукман Н. Социальное конструирование реальности / П. Бергер, Н. Лукман. – М.: Медиум, 1995. – 323 с.
Береснева Н.И. Язык и реальность: автореф. дис. … канд. докт. наук / Н.И. Береснева. – Пермь, 2006. – 23 с.
Библер В.С. Мышление как творчество / В.С. Библер. – М.: Издательство политической литературы, 1975. – 400 с.
Богданов В.В. Лингвистическая прагматика и ее прикладные аспекты / В.В. Богданов // Прикладное языкознание. – СПб: Издательство Санкт-Петербургского университета, 1996. – С. 268-275.
Богин Г.И. Модель языковой личности в её отношении к разновидностям текстов: автореф. дисс. … докт. филол. наук / Г.И. Богин. – Л., 1984. – 31 с.
Бодрийяр Ж. Символический обмен и смерть / Ж. Бодрийяр. – М.: Добросвет. 2000. – 387 с.
Бодрийяр Ж. Симулякры и симуляция / Ж. Бодрийяр. – Тула: Тульский полиграфист, 2013. – 204 с.
Бодуэн де Куртенэ И.А. О психических основах языковых явлений // И.А. Бодуэн де Куртенэ. Избранные труды по общему языкознанию в 2-х т. Т. II. – М.: Изд-во АН СССР, 1963. – С. 265-347.
Борисов Р.В. Диалог языка и этнической идентичности в поликультурном образовательном пространстве / Р.В. Борисов // Вестник Томского государственного университета. – 2007. – № 299. – С. 154-157.
Брагина Н.Г. Социокультурные конструкты в языке. / Н.Г. Брагина. – М.: Флинта, 2013. – 387 с.
Бурдьё П. Социология политики / П. Бурдьё. – М.: Socio-Logos. 1993. – 336 с.
Бурдьё П. О производстве и воспроизводстве легитимного языка / П. Бурдьё // Отечественные записки. – 2005 – № 2(23)). – С. 23-35.
Вайнрайх У. Языковые контакты. Состояние и проблемы исследования / У. Вайнрайх. – Благовещенск: БГК им. И.А. Бодуэна де Куртене, 2000. – 264 с.
Вайсгербер Й. Л. Родной язык и формирование духа / Й.Л. Вайсгербер. – М.: Либроком, 1993. – 232 с.
Василюк Ф.Е. Психология переживания. Анализ преодоления критических ситуаций / Ф.Е. Василюк. – М.: Издательство МГУ, 1984. – 200 с.
Вахтин Н.Б., Головко Е.В. Социология и социолингвистика языка / Н.Б. Вахтин, Е.В. Головко. – СПб: Издательский центр «Гуманитарная Академия» Европейский университет в Санкт-Петербурге, 2004. – 336 с.
Вацлавик П. Психология межличностных коммуникаций /П. Вацлавик. – СПб.: Речь. 2000. – 200 с.
Вебер М. О некоторых категориях понимающей социологии. Смысл понимающей социологии / М. Вебер Избранные произведения. – М.: Прогресс, 1990. – С. 495-499.
Вендина Т.И. Словообразование как источник реконструкции языкового сознания / Т.И. Вендина // Вопросы языкознания. – 2002. – № 4. – С.42-72.
Виданов Е.Ю. Аналитизм и языковая игра: к постановке проблемы / Е.Ю. Виданов // Уральский филологический вестник. – 2012. – № 2. – С. 214-217.
Виноградов В.В. О художественной прозе /В сб.: В.В. Виноградов Избранные труды. О языке художественной прозы. – М.: Наука, 1980. – С. 56-174.
Витгенштейн Л. Философские исследования в 2-х ч. Ч. I. / Л. Витгенштейн. – М.: Гнозис, 1994. – 612 с.
Витгенштейн Л. Логико-философский трактат / Витгенштейн Л. Избранные произведения. М.: Издательский дом «Территория будущего», 2005. – С. 11-222.
Владимирова Т.Е. Металингвистическая парадигма изучения языковой личности / Т.Е. Владимирова // Метафизика.. – 2012. – № 4 (6). – С. 26-38.
Волошинов В.Н. (М.М.Бахтин). Марксизм и философия языка: Основные проблемы социологического метода в науке о языке /В.Н. Волошинов. – М.: Лабиринт, 1993. – 188 с.
Воркачев С.Г. Лингвокультурология, языковая личность, концепт: становление антропоцентрической парадигмы в языкознании /С.Г. Воркачев // Филологические науки. – 2001. – № 1. – С. 64–72.
Вульф К. К генезису социального. Мимесис, перформативность, ритуал / К. Вульф. – СПб.: Интерсоцис, 2009. – 164 с.
Выготский Л.С. Исторический смысл психологического кризиса / Л.С. Выготский // Собрание сочинений в 6 т. Т.1. – М.: Педагогика, 1982. – С. 11-87.
Выготский Л.С. Проблема сознания / Л.С. Выготский // Собрание сочинений в 6 т. Т. 1. – М.: Педагогика, 1982. – С. 156–167.
Выготский Л.С. Мышление и речь / Л.С. Выготский. – М.: Лабиринт, 1999. – 352 с..
Гак В.Г. Человек в языке. Говорящий и пространство ситуации // В.Г. Гак Языковые преобразования. – М.: Языки русской культуры, 1998. – 768 с.
Галстян С.С. Языковая личность – основа телевизионной коммуникации / С.С. Галстян // Вестник электронных и печатных СМИ: научно-теоретический журнал. – Вып. № 3. Режим доступа: http://vestnik.ipk.ru/index.php?id=1544 (дата обращения 04.08. 2016).
Гаспаров Б.М. Язык, память, образ. Лингвистика языкового существования/ Б.М. Гаспаров. – М.: Новое литературное обозрение, 1996. – 352 с.
Гафурова М.Ю. Социально-философский анализ феномена проективности языка (в «пространстве между» индивидуальным, социальным и общественным): автореф. дис. … канд. филос. наук / М.Ю. Гафурова. – Казань, 2008. – 21 с.
Герген К. Дж. Сотовый телефон и отсутствующее присутствие / К.Дж. Герген // Постнеклассическая психология. – 2005. – № 1. – С. 31-50.
Горелов И. Н., Седов К.Ф. Основы психолингвистики / Н.Н. Горелов, К.Ф. Седов. – М.: Лабиринт, 1997. – 224 с.
Горностаева М.В. Креативность социального действия по Х. Йоасу – постулаты и пределы / М.В. Горностаева // Социологические исследования. – 2010. – № 6. – C. 23-26.
Григорьян Э.Р. Социальные нормы в эволюционном аспекте / Э.Р. Григорьян. – М.: ИСН, 2013. – 180 с.
Гридина Т.А. Языковая игра: стереотип и творчество / Т.А. Гриндина. – Екатеринбург: Издательство Уральского государственного педагогического университета, 1996. – 228 с.
Гридина Т.А. К истокам вербальной креативности: творческие эвристики детской речи / Т.А. Гриндина // Лингвистика креатива. – Екатеринбург, 2009. – С. 5-58.
Грицанов А.А. Мишель Фуко / А.А. Грицанов. – Минск: Книжный дом, 2008. – 320 с.
Громов И.А. Западная социология / И.А. Громов. – СПб.: ООО «Издательство ДНК», 2003. – 912 с.
Грязнов А.Ф. Язык и деятельность: Критический анализ витгенштейнианства / А.Ф. Грязнов. – М.: Издательство МГУ, 1991. – 152 с.
Гусейнов А.А. Цели и ценности: как возможен моральный поступок? / А.А. Гусейнов // Этическая мысль. – Вып. 3. – М.: ИФ РАН, 2002. – С. 19-56.
Гуссерль Э. Логические исследования. Картезианские размышления. Кризис европейских наук и трансцендентальная феноменология. Кризис европейского человечества и философии. Философия как строгая наука / Э. Гуссерль. – Минск: Харвест; М.: АСТ, 2000. – 752 с.
Гуссерль Э. Картезианские медитации. / Э. Гуссерль. – М.: Академический проект, 2010. – 229 с.
Гутнер Г.Б. Языковые игры: практика следования правилу и философская рефлексия / Г.Б. Гутнер // Santalka. Filosofija. – 2008. – T. 16. – №. 1. – С. 37-48.
Гумбольдт В. фон. Избранные труды по языкознанию / В. фон Гумбольдт. – М.: Прогресс, 1984. – 400 с.
Гумбольдт В. фон. Язык и философия культуры / В. фон Гумбольдт. – М.: Прогресс, 1985. – 452 с.
Данилова Т.Г. Конструирование социальной реальности в дискурсе информационного общества: коммуникативный аспект: автореф. дис. … канд. филос. наук / Т.Г. Данилова. – Томск, 2011. – 21 с.
Де-Вос Дж. Этнический плюрализм: конфликт и адаптация / Дж. Де-Вос // Личность, культура, этнос. Современная психологическая антропология / под ред. А.А. Белика. – М: Смысл, 2001. – С. 229-276.
Девятко И. Философия языка и язык социальной науки / И. Девятко // Журнал социологии и социальной антропологии. – 2004. – Том VII. – № 5. – С. 50-58.
Дейк Т. ван. Дискурс и власть. Репрезентация доминирования в языке и коммуникации / Т. ван Дейк. – М.: Книжный дом «Либроком». 2013. – 337 с.
Делез Ж. Логика смысла / Ж. Делёз. – М.: Изд. Центр «Академия», 1995. – 200 с.
Демьянков В.З. Личность, индивидуальность и субъективность в языке и речи / В.В. Демьянков / В сб.: «Я», «субъект», «индивид» в парадигмах современного языкознания. – М.: ИНИОН РАН, 1992. – С. 9-34.
Деррида Ж. / Ж. Деррида. – М.: Ad Marginem, 2000. – 512 с.
Деррида Ж. Диссеминация / Ж. Деррида. – Екатеринбург: У-Фактория, 2007. – 608 с.
Доброва Г.Р. Креативность языковой личности в аспекте вариативности речевого онтогенеза / Г.Р. Доброва // Лингвистика креатива – 2: коллективная монография / под ред. Т.А. Гридиной. – Екатеринбург: Уральский государственный педагогическмий университет, 2012. – С. 33-48.
Дьяков А.В. Мишель Фуко: о «смерти человека», о свободе и о «конце философии» / А.В. Дьяков // Вестник истории и философии КГУ. Серия «Философия». – 2008. № 2. – С. 45-53.
Должикова С.Н. Маркеры эстетической функции языка в дискурсе маркетинга / С.Н. Должиков // Филологические науки. Вопросы теории и практики. – 2011. – № 3 (10). – С. 44-46.
Донцов А.И., Стефаненко Т.Г., Уталиева Ж.Т. Язык как фактор этнической идентичности / А.И. Донцов, Т.Г. Стефаннеко, Ж.Т. Уталиева // Вопросы психологии. – 1997. – № 4. – С. 75-86 с.
Евсеева Л.Н. Роль языка в формировании национальной идентичности: автореф. дис. … канд. филос. наук / Л.Н. Евсеева. – Архангельск, 2009. – 21 с.
Ейгер Г.В., Рапопорт И.А. Язык и личность / Г.В. Ейгер, И.А. Рапопорт. – Харьков: ХГУ им. А.М. Горького, 1991. – 79 с.
Ерофеева К.Л. Сущность единичного человека как проблема философии /К.Л. Ерофеева // Вестник ТГУ. – 2008. – Вып. 8 (64). – С. 265-270.
Ерофеева К.Л. Онтология человека в информационном обществе: автореф. дис. … докт. филос. наук / К.Л. Ерофеева. - Иваново, 2009. – 35 с.
Жижек С. Киберпространство, или Невыносимая замкнутость бытия / С. Жижек // Искусство кино. – 1998. – №1–2. – С. 119-128.
Жукова Т.А. Логико-лингвистические аспекты проблемы понимания Другого в традиционной и современной философии: автореф. дис. … канд. филос. наук / Т.А. Жукова. – Краснодар. 2005. – 23 с.
Заборовская С.В. Социально-философская структура обыденного дискурса как порождающего начала виртуального общения / С.В. Заборовская // Сборник научных трудов «Вестник НТУ «ХПИ». – 2008. – № 1. – С. 43-53.
Завьялова З.С. Особенности самопрезентации личности в условиях Интернет коммуникации: автореф. дис. … канд. филос. наук / З.С. Завьялова. – Томск, 2011. – 21 с.
Зайко А.В. Языковые игры: социально-философский смысл: автореф. дис. … канд. филос наук / А.В. Зайко, - СПб., 2005. – 24 с.
Зайцев И.Д. Интерсубъективность как проблема социальной философии: автореф. дис. … канд. филос. наук / И.Д. Зайцев. – М., 2008. – 23 с.
Зинченко Е.В. Коммуникативная рациональность» как априори социальных наук (методологический обзор проектов) / Е.В. Зинченко // Credo New. –2003. – № 3. – С. 23-32.
Иванова Е.Н. Языковая личность в условиях формирования норм русского литературного языка (первая половина XVIII века). На примере писем и распоряжений А.Н. Демидова: автореф. дис. … канд филол. наук / Е.Н. Иванова. – Екатеринбург, 2008. – 23 с.
Ильенков Э.В. Философия и культура. / Э.В. Ильенков. – М.: Политиздат, 1991. – 464 с.
Ильин И. П. Проблемы «новой критики»: история эволюции и современное состояние. /И.П. Ильин // Зарубежное литературоведение 70-х гг. Направления, тенденции, проблемы. – М.: Наука, 1984. С.113 — 155.
Йоас Х. Креативность действия / Х. Йоас. – СПб: Алетейя, 2005. – 320 с.
Каган М.С. Философская теория ценности. / М.С. Каган. – СПб.: Петрополис, 1997. – 205 с.
Казыдуб Н.Н. Дискурсивное пространство как фрагмент языковой картины мира (теоретическая модель) / Н.Н. Казыдуб. – Иркутск: ИГЛУ, 2006. – 216 с.
Карабыков А.В. Культурно-коммуникативный механизм и формы осуществления перформативности в истории культуры: автореф. … дис. докт. филос. наук / А.В. Карабыков. – Томск, 2014. – 23 с.
Карасик В.И. О типах дискурса / В.И. Карасик // Языковая личность: институциональный и персональный дискурс: сборник научных трудов. – Волгоград: Перемена, 2000. – С. 5–20.
Карасик В.И. Языковой круг: личность, концепты, дискурс / В.И. Карасик. – М.: Перемена, 2002. – 477 с.
Караулов Ю.Н. Русский язык и языковая личность / Ю.Н. Караулов. – М.: Наука, 1987. – 263 с.
Караулов Ю.Н. Русская языковая личность и задачи ее изучения / Ю.Н. Караулов. // Язык и личность. М.: Наука, 1989. С. 3-8.
Касавин И.Т. Текст. Дискурс. Контекст. Введение в социальную эпистемологию языка / И.Т. Касавин. – М: «Канон» РОСИ, 2008. – 437 с.
Качалова И.Н. Оценочная функция языковой игры в дискурсе СМИ: автореф. дис. … канд. филол. наук / И.Н. Качалова. – М., 2010. – 21 с.
Колчина В.А. Субъективные основания социальной реальности: пространство смысла: автореф. дис. … канд. филос. наук / В.А. Колчина. – Ижевск, 2014. – 23 с.
Колыхалова О.А. Социокультурные и философские аспекты билингвизма: автореф. дис. … канд. филос. наук / О.А. Колыхалова. – М., 1999. – 23 с.
Колыхалова О.А. Вопросы образования и билингвизм / О.А. Колыхалова // Вестник РУДН. Серия Философия. – 2003. – № 2. – С. 183-192.
Конецкая В.П. Социологии коммуникации /В.П. Конецкая. – М.: Международный университет бизнеса и управления, 1997. – 304 с.
Конструктивизм в эпистемологии и науках о человеке (материалы круглого стола) // Вопросы философии. – 2008. – № 3. – С. 3-37.
Коротков И.С. Медиа как предельный опыт /И.С. Коротков // Медиа-философия II. Границы дисциплины. – СПб.: Санкт-Петербургское философское общество, 2008. – С. 39–42.
Котова Н.С. Амбивалентная языковая личность: лексика, грамматика, прагматика: автореф. дис. … докт. филол. наук / Н.С. Котова. – Краснодар, 2008. – 39 с.
Красных В.В. Виртуальная реальность или реальная виртуальность? (Человек. Сознание. Коммуникация) / В.В. Красных. – М.: Диалог МГУ, 1998. – 352 с.
Крысин Л.П. Социальная маркированность языковых единиц /Л.П. Крысин // Вопросы языкознания. – 2000. – № 4. – С. 26-42.
Крысин Л.П., Беликов В.И. Социолингвистика / Л.П. Крысин, В.И. Беликов. – М.: Издательство РГГУ, 2001. – 439 с.
Кудряшова Т.Б. Онтология языков познания: автореф. дис. … док. филос. наук / Т.Б. Кудряшова. – Иваново, 2005. – 40 с.
Кузнецова Е.И. Медиальность и медиакультура как факторы динамики социальной среды: автореф. дис. … докт. филос. наук / Е.И. Кузнецова Нижний Новгород, 2010. – 37 с.
Кукушин В.С., Столяренко Л.Д.. Этнопедагогика и этнопсихология / В.С. кукушкин, Л.Д. Столяренко. – Ростов-на Дону: Феникс, 2000. – 448 с.
Куликова И.В. Экзистенциальная и аналитическая парадигмы философии языка: опыт сравнительного анализа: автореф. дис. … канд. филос. наук /И.В. Куликова. – Иваново, 2007. – 23 с.
Кутырёв В.А. Последнее целование. Человек как традиция / В.А. Кутырёв. – СПб.: Алетейя, 2015. – 312 с.
Лабов У. Исследование языка в его социальном контексте / У. Лабов // Новое в лингвистике. – Вып. 7. Социолингвистика / под ред. Н. С. Чемоданова. – М.: Прогресс, 1975. – С. 52-68.
Ладо Р. Лингвистика поверх границ культур / Р. Ладо // Новое в зарубежной лингвистике. – М.: Прогресс, 1989. – Вып. XXV. Контрастивная лингвистика. – С. 32-62.
Лакан Ж. Функция и поле речи и языка в психоанализе / Ж. Лакан. – М.: Гнозис, 1995. –100 с.
Лакан Ж. Инстанция буквы в бессознательном, или судьба разума после Фрейда / Ж. Лакан. – М: Логос, 1997. – 184 с.
Лакан Ж. Семинары. Книга 1: Работы Фрейда по технике психоанализа (1953/54) / Ж. Лакан. – М.: ИТДГК Гнозис, Издательство Логос, 1998. – 432 с.
Левинас Э. Избранное: Тотальность и бесконечное / Э. Левинас. – М.-СПб.: Университетская книга, 2000. – 416 с.
Леонтьев А.А. Теоретические проблемы психолингвистического моделирования речевой деятельности: автореф. дисс. … докт. филол. наук /А.А. Леонтьев. – М., 1968. – 31 с.
Леонтьев А.А. Психолингвистический аспект языкового значения / А.А. Леонтьев / В сб.: Принципы и методы семантических исследований. – М.: Наука, 1976. – С. 46-72.
Леонтьев А.А. Высказывание как предмет лингвистики, психолингвистики и теории коммуникации / А.А. Леонтьев // Синтаксис текста. – М.: Наука, 1979. – С. 18–36.
Леонтьев А.Н. Лекции по общей психологии / А.Н. Леонтьев. – М.: Смысл, 2000. – 509 с.
Леонтьев Д.А. Общее представление о мотивации человека / Д.А. Леонтьев // Психология в вузе. – 2004. – № 1. – С. 51—65.
Лиотар Ж.Ф. Состояние постмодерна /Ж.Ф. Лиотар. – СПб.: Алетейя, 1996. – 160 с.
Липовецкий Ж. Империя эфемерного. Мода и ее судьба в современном обществе / Ж. Липовецкий. – М.: ИД НИУ ВШЭ, 2012. – 336 с.
Логический анализ языка / ред. Арутюнова Н.Д. - М.: Наука, 1987. – 139 с.
Лосев А.Ф. Философия имени / В кн. А.Ф. Лосев Бытие — имя — космос. – М.: Мысль, 1993.
Лукьянова Н.А., Целрик В.В., Зольников В.К. Об этике коммуникаций и этике ответственности / Н.А. Лукьянова, В.В. Целрик, В.К. Зольников // Вестник науки Сибири. – 2014. – № 2 (12). – С. 182-186
Луман Н. Социальные системы. Очерк общей теории / Н. Луман. – СПб.: Наука, 2007. – 648 с.
Лурия А.Р. Язык и сознание / А.Р. Лурия. – М.: Издательство Московского университета, 1979, - 320 с.
Макаров М.Л. Основы теории дискурса /М.Л. Макаров. – М.: ИТДГК «Гнозис», 2003. – 280 с.
Малькова Т.П. Субъекты культуры. Культурология / Т.П. Малькова. – М.: Знание, 1993. – С. 106–124.
Мартине А. Предисловие // Вайнрайх У. Языковые контакты. Состояние и проблемы исследования. – Благовещенск: БГК им. И.А. Бодуэна де Куртене, 2000. – С.18-21.
Мечковская Н.Б. Язык и религия. Лекции по филологии и истории религий. / Н.Б. Мечковская. – М.: Агентство «ФАИР», 1998. – 352 с.
Мечковская Н.Б. Социальная лингвистка / Н.Б. Мечковская. – М.: Аспект Пресс, 2000. – 207 с.
Мид Дж. От жеста к символу / Дж. Мид // Американская социологическая мысль. Под ред. В.И. Добренькова. – М.: Изд-во МГУ, 1994. – С. 118-120.
Мизиано В. Культурные противоречия тусовки / В. Мизино http://azbuka.gif.ru/important/miziano-tusovka/ (дата обращения 14.02. 2016).
Микешина Л.А. Эпистемология ценностей / Л.А. Микешина. – М.: Российская политическая энциклопедия (РОССПЭН), 2007. – 439 с.
Миннулина Э.Б. Рациональная толерантность как принцип этики дискурса /Э.Б. Миннулина // Теория и практика общественного развития.. – 2013. – № 9. – С. 27-31.
Михайличенко Д.Г. Субъективация современного человека в контексте технологий массовой манипуляции: автореф. дис. … докт. филос. наук /Д.Г. Михайличенко. – Челябинск, 2011. – 38 с.
Мудрагей Н.С. Коммуникация как мера человека (возрождая Ясперса) / Н.С. Мудрагей // Философия науки. - 2012. - № 17. - С. 143-155.
Назарчук А.В. Язык в трансцендентальной прагматике К.-О. Апеля / А.В. Назарчук // Вопросы философии. - 1997. - № 1. - С. 69-75.
Немищенко Г.П. Динамика речевого стандарта современной публичной вербальной коммуникации: проблемы, тенденции развития /Г.П. Немищенко // Вопросы языкознания. - 2001. - № 1. - С. 98-132.
Николаева Н.А. Дискурс и экзистенция: иррациональное в социально-коммуникативном опыте человека: автореф. дис. … канд. филос. наук / Н.А. Николаева. - Казань, 2004. - 23 с.
Нуриев Б.Д. Философское познание языковой реальности и языковой деятельности: автореф. дис. … канд. филос. наук / Б.Д. Нуриев. - Уфа, 2009. - 23 с.
Нуриев И.А. Социально-философские аспекты социализации человека в условиях глобального мира: автореф. дис. …канд. филос. наук / И.А. Нуриев. - Нижний Новгород, 2015. - 28 с.
Обрезков А.А. Онтология языка: эволюция проблемы и ее современное состояние: автореф. дис. … канд. филос. наук / А.А. Обрезклв. - Иваново, 2008. - 24 с.
Овчарова Т.Н. О природе ценностей / Т.Н. Овчарова // Вестник Нижегородского университета им. Н.И. Лобачевского. Серия «Социальные науки». - 2004. - №1. - С. 477-494.
Огородников А.Ю. Интериоризация ценностей в условиях трансформации современного российского общества: автореф. дис. … канд. филос. наук / А.Ю. Огородников. - М., 2008. - 22 с.
Огородников А.Ю. Роль интериоризации ценностей в формировании гармонично развитой личности /А.Ю. Огородников // Вестник КемГУКИ. – 2014. – № 27. – С. 164-169.
Оленёв С.В. Динамическое модеоирование русской языковой личности: автореф. дис. … канд. филол. наук / С.В. Оленёв, - Кемерово. 2006. – 23 с.
Олешков М.Ю. Моделирование коммуникативного процесса / М.Ю. Олешков. – Нижний Тагил: Нижнетагильская государственная социально-педагогическая академия, 2006. – 336 с.
Остин Дж. Избранное / Дж. Остин. – М.: Идея-Пресс, Дом интеллектуальной книги, 1999. – 332 с.
Парсонс Т. О структуре социального действия / Т. Парсонс. – М.: Академический Проект, 2000. – 880 с.
Паниткова Э.Ю. Понятие «языковая личность» и проблема социального конструирования реальности: автореф. дис. … канд. филос. наук. / Э.Ю. Паниткова. – Архангельск, 2012. – 23 с.
Пауль Г. Принципы истории языка / Г. Пауль. – М.: Издательство иностранной литературы, 1960. – 500 с.
Пенькова М.Р. Креативность социального действия в современной социологической теории: анализ прагматистских и неопрагматистских концепций: автореф. дис. … канд. социол. наук / М.Р. Пенькова. – М., 2006. – 23 с.
Перов В.Ю. Этика дискурса и коммуникативные практики / В.Ю. Перов // Коммуникация и образование: сб. статей. – СПб.: Санкт-Петербургское философское общество, 2004. – С. 404-417.
Песина С.А. Слово и концепт в коммуникативной деятельности: автореф. дис. … докт. филос. наук / С.А. Песина. – СПб., 2012. – 38 с.
Песина С.А. Языковой знак и коммуникативные процессы в философском аспекте / С.А. Песина. – М.: ФЛИНТА, 2013. – 152 с.
Петренко В.Ф. К проблеме психологии сознания / В.Ф. Петренко // Вопросы философии. – 2010. – № 11. – С. 57-74.
Петров М.К. Язык и предмет истории философии / М.К. Петров Историко-философские исследования. – М.: РОССПЭН, 1996. - С. 136-153.
Петряков Л.Д. Дискурсивная реальность как объект философского анализа: онтологический и гносеологический аспекты: дис. … докт. филос. наук / Л.Д. Петряков. – Иваново, 2014. – 37 с.
Пивнева Е. Поддержка и развитие финно-угорских языков в контексте этнокультурной ситуации / Е. Пивиева // Правовой статус финно-угорских языков и этнокультурные потребности российской школы / под ред. В. А. Тишкова. – М.: ИП А.Г. Яковлев, 2011. – С. 64-89.
Подольская О.С. Социально-философский анализ феномена языковых игр: автореф. дис. … канд. филос. наук / О.С. Подольская. – Благовещенск. 2012. – 23 с.
Полищук М.А. Социальная реальность как текст - проблема самоопределения смысла: автореф. дис. … канд. филос. наук / М.А. полищук. – Ижевск, 2002. – 21 с.
Полуяхтова М.В. Проблема экзистенциальной коммуникации в учении К. Ясперса: автореф. дис. … канд. филос. наук / М.В. Полуяхтова. – Екатеринбург, 2004. – 24 с.
Полякова А.А. Развитие аксиологического потенциала личности в контексте диалога культур / А.А. Полякова // Социальные и гуманитарные науки. Серия 3. Философия. – СПб.: Изд-во РГПУ им. А.И. Герцена, 2001. – С.125-131.
Покровская Н.Н. Социальные нормы как предмет социологического анализа: должное и действительное /Н.Н. Покровская // Журнал социологии и социальной антропологии. – 2007. – Т. X. № 1. – С. 190-198.
Портнов А.Н. Язык и сознание. Основные парадигмы исследования проблемы в философии XIX–XX веков / А.Н. Портнов. – Иваново: ИвГУ, 1994. – 370 с.
Портнов А.Н., Серов Ю.М. Интерсубъективность как способ социокультурного бытия / А.Н. Портнов, Ю.М. Серов // Актуальные проблемы философии сознания. – Иваново: ИвГУ, 1997. – С. 89–105.
Портнов А.Н. Сознание, личность, язык в философии Э. Левинаса // Философия языка и семиотика / А.Н. Портнов. – Иваново: ИвГУ, 1995. – С. 71–82.
Портнов А.Н. Язык, мышление, сознание / А.Н. Портнов. – Иваново: ИвГУ. 1994. – 88 с.
Портнов А.Н. Языковое сознание и языковая личность Мартина Хайдеггера (опыт реконструкции / А.Н. Портнов // Вестник гуманитарного факультета ИГХТУ. – 2006. – № 1. – С. 157-172.
Потебня А.А. Из записок по русской грамматике / А.А. Потебня. – М.: Учпедгиз, 1958. – 535 с.
Потебня А.А. Мысль и язык: собрание трудов / А.А. Потебня. – М.: Лабиринт, 1999. – 300 с.
Поттер Дж. Уезерел М. Дискурс и социальная психология: за пределами установок и поведения Дискурс и социальная психология: за пределами установок и поведения / Дж. Поттер, М. Уезерел. – М.: Медиум, 1998.
Пузанкова Е.Н. Формирование языковой способности учащихся при обучении русскому языку: монография /Е.Н. Пузанкова, - Орел: Картуш, 2004. – 347 с.
Ревзина О.Г. Дискурс и дискурсивные формации / О.Г. Ревзина // Критика и семиотика.. – 2005.. – Вып. 8. – С. 66–78.
Резник Ю.М. Понятие «социальное» в современной философии и науке / Ю.М. Резника // Вопросы социальной теории. - 2008. – Т. II. – Вып. 1(2). - С. 88-111.
Рикер П. Модель текста: осмысленное действие как текст / П. Рикёр // Социологическое обозрение. - 2008. – № 1. – Т. 7. – С. 25-43.
Риккерт Г. Философия жизни / Г. Риккерт. – Киев: Ника-Центр, 1998. – 512 с.
Розеншток-Хюсси О. Речь и действительность / О. Розеншток-Хюсси, - М.: Лабиринт, 1994. – 222 с.
Рокмор Т. К критике этики дискурса / Т. Рокмор // Вопросы философии. – 1995. – № 1. – С. 106–117.
Романов А.А., Романова Л.А. Композитивная перформативность в интерактивном пространстве диалога / А.А. Романов, Л.А. Романова // Studia Linguistica. – 2011. – Вып. 5. – С. 327-338.
Рубинштейн С.Л. Человек и мир. / С.Л. Рубинштейн, - М.: Наука, 1997. – 179 с.
Сайкин Е.А. Многомерность личности как следствие мультипликации социальных ролей в информационном обществе: автореф. дис. … канд. филос. наук / Е.А. Сайкин. – Новосибирск, 2011. – 23 с.
Седов К.Ф. Становление дискурсивного мышления языковой личности: Психо- и социолингвистические аспекты / К.Ф. Седов, - Саратов: Издательство Саратовского университета, 1999. – 180 с.
Седов К.Ф. Дискурс и личность / К.Ф. Седов. – М.: Лабиринт, 2004. – 320 с.
Сепир Э. Статус лингвистики как науки / Э. Сепир // Языки как образ мира. – М.: АСТ, Terra Fantastica, 2003. – С. 127-138.
Серебренникова Е.Ф. Этносемиометрия как способ лингвистического аксиологического анализа / Е.Ф. Серебренникова // Этносемиометрия ценностных смыслов. – Иркутск: ИГЛУ, 2008. – С. 8-62.
Силантьев И.В. Газета и роман: Риторика дискурсных смешений / И.В. Силантьев. – М.: Языки славянской культуры, 2006. – 224 с.
Синельникова Л.Н. Дискурсивная личность как субъект и объект социолингвистики / Л.Н. Синельникова // Лингвистика. – 2010. – № 3(21). – Ч. II. – С. 42-44.
Смагина М.В. Тематизация социального взаимодействия в парадигме социального конструктивизма: автореф. дис. … канд. филос. наук / М.В. Смагина. – Екатеринбург, 2007. – 24 с.
Смирнов А.Е. Процессы субъективации: социально-философский анализ: автореф. дис. … докт. филос. наук / А.Е. Смирнов. – Иркутск, 2011. - 40 с.
Соколов А.В. Общая теория социальной коммуникации. Учебное пособие / А.В. Соколов. – СПб.: Изд-во Михайлова В. А., 2002. – 461 с.
Соссюр Ф. де. Труды по языкознанию / Ф. де Соссюр. – М.: Прогресс, 1977. – 689 с.
Соссюр Ф. де. Заметки по общей лингвистике / Ф. де Соссюр. – М.: Прогресс, 1990. – 280 с.
Социальное: истоки, структурные профили, современные вызовы / под общ. ред. П. К. Гречко, Е. М. Курмелевой. – М.: РОССПЭН, 2009. – 440 с.
Степанов Ю.С. Язык и метод. К современной философии языка / Ю.С. Степанов. – М.: Языки русской культуры, 1998. – 784 с.
Степанов Ю.С. Вводная статья. В мире семиотики / Ю.С. Степанов / В сб.: Семиотика: Антология / сост. Ю.С. Степанов. – М.: Академический Проект; Екатеринбург: Деловая книга, 2001. – С. 5-42.
Стернни И.А., Шилихина К.М. Коммуникативные аспекты толерантности. / И.А. Стерини, К.М. Шилихина. – Воронеж, 2001. – 110 с.
Стернин И. А. К разработке модели контрастивного описания национального коммуникативного поведения / И.А. Стернин // Аксиологическая лингвистика: проблемы коммуникативного поведения: сборник научных трудов. – Волгоград, 2003. – С. 5—15.
Стросон П.Ф. Намерение и конвенция в речевых актах / П.Ф. Стросон / В сб.: Новое в зарубежной лингвистике. Вып. 17. Теория речевых актов. – М.: Прогресс, 1986. – С. 131-151.
Сусов И.П. Лингвистическая прагматика /И.П. Сусов. – М.: Восток-Запад, 2006. – 200 с.
Тарасов Е.Ф. Языковое сознание – перспективы исследования // Языковое сознание: содержание и функционирование: матер. XIII Международный симпозиум по психолингвистике и теории коммуникации / Е.Ф. Тарасов. – М, 2000. – С. 4-6.
Тарасов Е.Ф. Язык как средство трансляции культуры / Е.Ф. Тарасов // Язык как средство трансляции культуры. – М.: Наука, 2000. – С. 45–53.
Тезич М. Дж. Национальный язык как ресурс конструирования этнической идентичности в молодежной среде на примере республики Бурятия / М.Дж. Тезич // Общество. – 2013. – № 4. – С. 145-149.
Токарева И.Ю. Понятие языковой личности в сфере компетентностного подхода /И.Ю. Токарева // Ученые записки: электронный научный журнал Курского государственного университета. Педагогические науки. – 2012. – № 4 (24). - Т. 1. – С. 1-5.
Туровский М.Б. Философское основание культурологи / М.Б. Туровский. – М.: РОССПЭН, 1997. – 440 с.
Тхорик В.И. Языковая личность: культурологический аспект: автореф. дис. … докт. филол. наук / В.И. Тхорик. – Краснодар, 2000. – 32 с.
Уколова Ю.С. Проблема доверия к Другому в коммуникативной философии / Ю.С. Уколова // Наука. Религия. Общество. – 2010. – № 4. – С. 175-181.
Ушакова Т.Н. Рождение слова. Проблемы психологии речи и психолингвистики / Т.Н. Ушакова. – М.: Институт психологии РАН, 2011. – 528 с.
Фарман И.П. Социально-культурные проекты Юргена Хабермаса /И.П. Фарман. – М.: Институт философии РАН, 1999. – 244 с.
Фортунатов А.Н. Взаимодействие субъектов социальной коммуникации в медиареальности: автореф. дис. … докт. филос. наук / А.Н. Фортунатов. – Нижний Новгород, 2009. – 32 с.
Фортунатов А.Н. Ответственность и достоинство личности в эпоху «новых медиа» / А.Н. Фортунатов // Вестник Нижегородского университета им. Н.И. Лобачевского. – 2013. – № 4 (2). – С. 243-245.
Фридман Д. Конструирование иных реальностей: Истории и рассказы как терапия / Д. Фридман. – М.: Класс, 2001. – 368 с.
Фролов И.Т., Юдин Б.Г. Многомерный образ человека: комплексное междисциплинарное исследование человека / И.Т. Фролов, Б.Г. Юдин. - М.: Наука, 2001. – 239 с.
Фролова С.М. Повседневное бытие общества: дис. … канд. филос. наук / С.М. Фролов. – Саратов, 2014. – 145 с.
Фуко М. Археология знания / М. Фуко. - Киев: Ника-Центр, 1996. – 208 с.
Фуко М. Воля к истине: по ту сторону знания, власти и сексуальности / М. Фуко. – М., Касталь, 1996. – 448 с.
Фуко М. Возвращение морали // М. Фуко. Интеллектуалы и власть: Избранные политические статьи, выступления и интервью Ч. 3. – М.: Праксис, 2006. – С. 271-287.
Фуко М. Эстетика существования // М. Фуко. Интеллектуалы и власть: Избранные политические статьи, выступления и интервью / Ч. 3. – М.: Праксис, 2006. – С. 297-304.
Хабермас Ю. Реконструирование и понимающие науки об обществе / Хабермас Ю. Моральное сознание и коммуникативное действие. – СПБ.: Наука, 2000.
Хабермас Ю. Отношения к миру и рациональные аспекты действия в четырех социологических понятиях действия / Ю. Хабермас // Социологическое обозрение. – 2008. – Т. 7. – № 1. – С. 3-24.
Хабибуллин К.Н. Национальное самосознание и интернационалистское поведение. / К.Н. Хабибуллин. – Л: Знание, 1989. – 35 с.
Хазагеров, Г.Г. Проблемы языковой нормы в свете понятий «красивого», «возвышенного» и «эффективного» (к типологии нормы) / Г.Г. Хазагеров // Язык в прагмалингвистическом аспекте: экспрессивная стилистика, риторика: межвуз. сб. науч. Трудов. – Ростов н/Д., 2003. – С. 55–64.
Хейзинга И. Homo Ludens / Й. Хейзинга. – М.: Издательство Ивана Лимбаха, 2004. – 540 с.
Хомский Н. Аспекты теории синтаксиса. / Н. Хомский. – М.: Издательство МГУ, 1972. – 260 с.
Хомский Н. Язык и мышление / Н. Хомский. – М.: Издательство МГУ, 1972. – 106 с.
Хотинец В.Ю. Этническое самосознание / В.Ю. Хотинец. – СПб.: Алетейя, 2000. – 240 с.
Хюбнер Б. Произвольный этоc и принудительность эстетики / Б. Хюбнер. – Минск: Пропилеи, 2000. – 152 с.
Цоколов С. Дискурс радикального конструктивизма. Традиции скептицизма в современной философии и теории познания / С. Цоколов. – Munchen: Verlag Munchen, 2000. – 320 с.
Четыркина И.В. Перформативность речевых практик как конститутивный признак культуры: этническая и историческая перспектива: автореф. дис. … докт. филол. наук / И.В. Четыркина. – Краснодар, 2006. – 32 с.
Шабаев Ю.П., Айбабина Е.А., Денисенко В.Н., Шилов Н.В. Дискуссии о языковой политике в регионах проживания финно-угров Российской Федерации / Ю.П. Шибаев, Е.А. Айбабтна, В.Н. Денисенко, Н.В. Шилов // Этнографическое обозрение. – 2009. – № 2. – С. 92-105.
Шадрин А.А. Герменевтика смысла социально-философской дискурсивности. / А.А. Шадрин. – Ижевск, 2009. – 142 с.
Шабыков В.И., Кудрявцева Р.А., Казанцев Д.Е. Язык как этническая ценность (к вопросу об этнической природе общественного сознания населения республики Марий Эл в начале 2010-х годов) / В.И. Шабыков, Р.А. кудрявцева, Д.Е. Казанцев // Исторические, политические, юридические науки, культурология и искусствоведение. – Тамбов. Грамота. – 2014. – № 8. – С. 204-207.
Шахнарович А.М. Проблемы формирования языковой личности учителя-русиста / А.М. Шахнарович // Тезисы IV международной конференции 12 – 14 мая 1993. – Волгоград: Перемена, 1993. – С. 39 – 42.
Шашлова Г.С. Теоретико-познавательные и методологические аспекты проблемы вторичной языковой личности: автореф. дис. … канд. филос. наук / Г.С. Шашлова. – Краснодар, 2006. – 21 с.
Швейцер А.Д. Современная социолингвистика. Теория, проблемы, методы / А.Д. Шввейцер. – М.: Либроком, 2012. – 176 с.
Шефатов О.И. Социальная природа языка и его роль в современном обществе: автореф. дис. … канд. филос. наук. / О.И. Шефатов. – Ставрополь, 2005. – 24 с.
Шмерлина И.А. Семиотическая концепция социальности: постановка проблемы / И.А. Шмерлина // Социологический журнал. – 2006. – № 3/4. – С. 25-45.
Шюц А. Чужой / В кн.: А. Шюц Смысловая структура повседневного мира. – М.: Институт фонда «Общественное мнение», 2003. – С. 191-206.
Якобсон Р.О. Лингвистика и поэтика / Р.О. Якобсон // Структурализм: «за» и «против». – М.: Прогресс, 1975. – С. 193-230.
Якобсон Р.О. Лингвистика в ее отношении к другим наукам / В сб.: Р.О. Якобсон Избранные работы. – М.: Прогресс, 1985. – С. 369-420.
Якобсон Р. О. Работы по поэтике / Р.О. Якобсон. – М.: Прогресс, 1987. – 464 с.
Якобсон Р. О. Два аспекта языка и два типа афатических нарушений / Р.О. Якобсон / В кн.: Теория метафоры. – М.: Прогресс, 1990. – С. 110-132.
Ярцева В.Н. Лингвистический энциклопедический словарь / В.Н. Ярцева. – М.: Советская энциклопедия», 1990. – 582 с.
Baker G.P., Hacker P.M.S. Skepticism, Rules and Language. / G.P. Baker, P.M.S. Hacker. – Oxford: Blackwell, 1984. – 140 p.
Beebe St., Beebe Su., Ivy D. Communication: Principles for a Lifetime. / St. Beebe, Su. Beebe, D. Ivy. – Texas State University - San Marcos 2007. – 512 p.
Bernstein B. Social Class, Language and Socialization / B. Bernstein // Language and Social Context: Selected Readings. – Harmondsworth: Penguin. – 1979. – P. 157–178.
Bourdieu P. Language and Symbolic Power: The Economy of Linguistic Exchanges / P. Bourdieu. – Harvard University Press, 1991. – 291 p.
Chi-yue Chiu Language and Culture / Chi-yue Chiu // Online Readings in Psychology and Culture. – 2011. – № 4(2). – http://dx.doi.org/10.9707/2307-0919.1098. (дата обращения 14.09. 2016).
Grice P. Studies in the Way of Words / P. Grice. – Cambridge, Mass: Harvard University Press. – 406 p.
Grosjean F. Life with Two Languages: An Introduction to Billingualism / F. Grosjean, - Cambridge, Mass.: Harvard University Press, 1982. – 384 p.
Grosjean F. Cultural and Language Diversity and the Deaf Experience / F. Grosjean. – Cambridge: Cambridge University Press, 1996. – 306 p.
Habermas J. The Structural Transformation of the Public Sphere: An Inquiry into a Category of Bourgeois Society. / J. Habermas. – Cambridge (Mass.), 1989. – 326 p.
Harr R., Gillett G. The Discursive Mind / R. Harr, G. Gillett. – London: Sage, 1994. – 196 p.
Holtgraves Thomas M. Language as Social Action: Social Psychology and Language Use Mahwah / Thomas M. Holtgraves. – New Jersey: Lawrence Erlbaum Associates, Publishers, 2002. – 232 p.
Krauss Robert M., Chi-Yue Chiu Language and Social Behavior / Robert M. Krauss. – Hong-Kong: Columbia University and The University of Hong-Kong, 1995. – 78 p.
Oludamini O., Yarrow D., Mahzarin R. Banaji The Language of Implicit Preferences / O. Oludamini, D. Yarrow, Mahzarin R. Banaji//Journal of Experimental Social Phsycology. – 2010. – № 46. – P. 999-1003.
Pearce B., Cronen V. Communication, Action and Meaning: The Creation of Social Realities / B. Pearce, V. Cronen. – NY: Praeger, 1980. – 340 p.
Pearce W. Barnett. Communication and the Human Condition / W. Barnett Pearce. – Carbondale; Edwardsville: Southern Illinois univ. press, 1989. – 219 p.
Powell J. Why Am I Afraid to Tell You Who I Am. Insights into Personal Growth / J. Powell. – Allen, Texas : Tabor Publishing, 1969. – 125 p.
Ricoeur P. The model of the Text: Meaningful Action Considered as a Text / P. Ricoeur // New Literary History. – 1973. – Vol. 5. – № 1. – P. 91-117.
Searl J.R. Indirect Speech Acts / J.R. Searl // P. Cole, J. Morgan (eds.) Syntax and Semantics. Vol. 3: Speech Acts. – New York: Academic Press. 1975. – P. 59-82.
Searle J.R. The Background of Meaning / J.R. Searl // Speech Act Theory and Pragmatics / ed. by J. Searle, F. Kiefer, M. Bierwisch. Dordrecht: D. Reidel Publishing Company, 1980. – P. 243-255.
Searl J.R. Mind, language and society (Philosophy in the real world) / J.R. Searl. – Masterminds, Basic books, 1998. – 192 p.
Searle J. Conciousness and Language / J.R. Searl. – Cambridge: Cambridge univ. press, 2002. – 269 p.
Schutz A. Life Forms and Meaning Structure / A. Schutz. – London. 1982. – 231 p.
Schutz A., Luckman Th. The Structures of the Life World /A. Schutz, Th. Luckman. – Evanston.1973. V.2. Evanston, 1983. – 335 p.
Schutz A. Collected Papers / A. Schutz. – V.1-3. Martinus Nijhoff, The Hague, 1973. – 361 p.
Schutz A. Collected Papers / A. Schutz. –V. 4. Dordtrecht, Boston.1996. – 287 p.
Using CMM (The Coordinated Management of Meaning). A Pearce Associated Seminar. San Mateo. – California, 1999. – August 4. – 71 p.
Wittgenstein L. Remarks on the Foundation of Mathematics / L. Wittgenstein. – Oxford: Blackwell, 1978. – 444 p.
Wolfson N. The Bulge: A Theory of Speech Behavior and Social Distance Second Language Discourse: A Textbook of Current Research / N. Wolfson. – Norwood: N.J., 1988. P. 55-83.
```
ИВАНОВА МАРИНА АЛЕКСАНДРОВНА
АББРЕВИАТУРЫ В СТРУКТУРЕ ПРОФЕССИОНАЛЬНОЙ АНГЛОЯЗЫЧНОЙ ЛИЧНОСТИ БИЗНЕСМЕНА
[ext[ссылка|https://pglu.ru/upload/iblock/a0a/dissertatsiya-ivanova.pdf]]
[ext[ссылка Интернет|http://ens.mil.ru/files/morf/military/files/Dissertaciya_Myskin.pdf]]
[ext[ссылка в библиотеку|file:///D:/BI/dis_myskin_sv.pdf]]
* [[Профессиональное языковое сознание и особенности его функционирования]]
17.05.2019 Седых Дина Викторовна Педагогическое обеспечение процесса обучения студентов вуза в полилингвальной образовательной среде 13.00.08.
[ext[ссылка в библиотеку|file:///D:/BI/dis_sedih_dv.pdf]]
[ext[ссылка интернет 1|https://kemsu.ru/upload/iblock/2d2/2d2341407f9558d2a3d7f1641e608a41.pdf]]
{{sdv_dis_s8_3}}*[[sdv_dis_s8_3]]
{{sdv_dis_s21_4}}*[[sdv_dis_s21_4]]
{{sdv_dis_s42_3}}*[[sdv_dis_s42_3]]
*Python.org [ext[ссылка|https://www.python.org/]]
*Создание виртуальных окружений и установка библиотек для Python 3 в IDE PyCharm [ext[ссылка|https://habr.com/ru/post/491916/]]
*Установка tkinter pycharm [ext[ссылка|https://youtu.be/vejrklQ691w]]
[ext[ссылка Ассоциативно-вербальное поле «армия»: лингвокогнитивный аспект|https://docviewer.yandex.ru/view/0/?page=1&*=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%3D%3D&lang=ru]]
! Второй эшелон
[[Московская Н. Л.]] ФОРМИРОВАНИЕ ПРОФЕССИОНАЛЬНОЙ КОМПЕТЕНТНОСТИ ЛИНГВИСТА - ПРЕПОДАВАТЕЛЯ 2004 13.00.08
[[Сизова, Екатерина Викторовна]]. Педагогические особенности подготовки будущих учителей биологии к работе по формированию метапредметных результатов обучающихся основной школы средствами смыслового чтения : дис. ... канд. пед. наук : 13.00.08 / Е. В. Сизова ; науч. рук. д-р пед. наук А. Г. Бермус. - Ростов-на-Дону, 2018. - 180 с. - Библиогр.: с.127-155
*[[ Егошкина]] Виолетта Александровна Русский развлекательный радийный дискурс: коммуникативно-прагматический и жанрово-стилистический аспекты
*[[Ван Синхуа]] Русский молодежный жаргон в аспекте интерпретации вторичной языковой личностью
* [[Тленкопачева]] Марьяна Наурбиевна Особенности речевого поведения участников англоязычных обучающих вебинаров
* [[Алейникова]] Дарья Викторовна Методика обучения юристов межкультурному профессиональному общению в условиях коллизии правовых культур (английский язык, магистратура)
* [[Казанцева]]
! Третий эшелон
[ext[ссылка Шишкина Лариса Петровна Мощанская Татьяна Валерьевна|https://cyberleninka.ru/article/n/logiko-semanticheskaya-struktura-temy-leksikona-tezaurusa-kak-osnova-strukturirovaniya-predmetno-tematicheskogo-soderzhaniya-tekstov]]
[ext[ссылка Е.А. Руцкая, А.М. Шадрин|https://cyberleninka.ru/article/n/logiko-semanticheskaya-struktura-temy-kak-komponent-slovarya-tezaurusa-vysshee-uchebnoe-zavedenie]]
[[Дорожкина Т.Н.]]
Дорожкина Т.Н. [[Учебно-творческий дискурс в сфере письменной коммуникации (формирование языковой личности человека пишущего)]]
Т.Н. [[Дорожкиной|Дорожкина]],
Предмет диссертационного исследования Т.Н. [[Дорожкиной|Дорожкина]] разработка методики формирования коммуникативно-речевых умений и навыков учащихся по продуцированию письменного текста в процессе учебно-речевой деятельности. В диссертации в качестве системообразующего использовалось понятие «языковая личность», поскольку именно в сознании человека сопрягаются языковые значения, образы литературы и категории культуры. [[[8, c. 7]|dtn_ar_s7_1]]. Несомненное значение теории Ю.Н. Караулова можно видеть в том, что она дает многоплановую картину порождения текста и способ его анализа, наполняя реальным содержанием идею о связи мышления не только с языком вообще, но с конкретным, объективированным в словесной форме текстом, который и фигурирует в общении.[[[8, c. 13]|dtn_ar_s13_1]].
# Дорожкина Т.Н. Учебно-творческий дискурс в сфере письменной коммуникации (формирование языковой личности человека пишущего): автореф. дис. … д-ра. пед. наук. – Уфа, 2006. – 50 с.
! [[Дорожкина]] Т.Н.
УЧЕБНО-ТВОРЧЕСКИЙ ДИСКУРС В СФЕРЕ ПИСЬМЕННОЙ КОММУНИКАЦИИ (ФОРМИРОВАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ ЧЕЛОВЕКА ПИШУЩЕГО)
диссертация на соискание ученой степени доктора педагогических наук / Уфа, 2006
[ext[ссылка автореферат|https://new-disser.ru/_avtoreferats/01003318587.pdf]]
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=834656]]
[[Содержание|СодержаниеДорожкинаТН]]
[ext[ссылка|https://studopedia.ru/6_168144_trebovaniya-k-nazvaniyu-dissertatsii.html]]
Для методологически правильного названия темы диссертации необходимо, чтобы в нее входили три непременных атрибута: объект, предмет и конечная цель исследования. Если в названии темы диссертации отсутствует одна из требуемых «опор», то это уже не диссертация, а, скорее всего, – публицистическая статья.
Объект – это процесс или явление, порождающее задачу или проблему. Он существует вне нас и независимо от нашего сознания, но его необходимо познать. В юридической науке таким универсальным объектом является, безусловно, право – как совокупность общеобязательных правил поведения (норм), установленных государством. В качестве объекта может выступать также совокупность этических общностных ценностей (справедливость, порядок, нравственность, верность, надежность), покоящихся на идее равенства: равным обязанностям должны соответствовать равные права. Объектом исследования могут быть и права человека: на жизнь, на все то, что необходимо для сохранения и продолжения жизни. Наиболее часто в юридических науках право рассматривается в качестве объекта – как совокупность правил, регулирующих человеческие отношения. Принудительность права осуществляется государственной властью через правосудие. Правосудие также может быть объектом диссертационного исследования. Это форма государственной деятельности по рассмотрению и разрешению судом уголовных и гражданских дел. Это так называемая узкая трактовка правосудия. Допустима и широкая трактовка, когда оно включает в себя все аспекты организации и деятельности судебной власти – как судопроизводство, также вопросы судоустройства, статуса судьи, взаимодействие с другими институтами государства и общества.
Предмет исследования – это то, что находится в границах объекта, та сторона объекта, которая рассматривается в конкретном исследовании. Как правило, магистрант должен выбирать такой предмет исследования, который он достаточно хорошо знает.
В диссертации объект не должен выступать в виде фона или некой декорации, а подлежать научному исследованию, и именно предмет должен дать ему приращение эффективности, т.е. сделать его лучше, качественнее.
Конечная цель всегда прямо или косвенно должна быть связана с приращением эффективности (улучшением качества) объекта через предмет.
Если тема диссертации названа в соответствии с методологическими требованиям, то легко сформулировать научную проблему или научную задачу.
И научная проблема, и научная задача выражаются в виде пары: предмет – конечная цель.
Например: «разработка научно-методического аппарата (конечная цель) оценки эффективности арбитражного судопроизводства (предмет)».
Решение научной задачи (проблемы) заключается в необходимости между предметом и конечной целью поставить метод: предмет – метод – конечная цель.
Мы уже много раз употребляли понятие цель. Сейчас можно заметить, что конечная цель темы диссертации, как абсолютно необходимый ее атрибут может быть: прагматической (практической), научной, или просто целью исследования. В примерах правильного названия тем диссертаций можно найти различные конечные цели, которые носят прагматический или исследовательский характер. Однако внутри самой диссертации, а точнее – во введении к ней цель может быть названа просто как исследовательская.
Примеры методологически правильно названных диссертаций по юридическим наукам:
«Обоснование рекомендаций (''конечная цель'') по совершенствованию семейного права (''предмет'') с целью обеспечения правосудия (''объект'') в период следственных действий».
«Разработка методов (''конечная цель'') сбора и обработки данных экологического (''предмет'') состояния региона с целью обеспечения прав (''объект'') экономических предприятий».
«Совершенствование методов (''конечная цель'') прокурорского надзора (''предмет'') в целях обеспечения правосудия (''объект'') несовершеннолетних».
«Развитие законодательной базы (''конечная цель'') по возмещению морального (неимущественного) вреда (''предмет'') в целях обеспечения правосудия (''объект'') граждан».
«Совершенствование нормативно-правовой базы по ответственности предприятий за вред, причиненный рабочим и служащим, связанный с исполнением ими трудовых обязанностей». (Здесь и далее предлагается самостоятельно определить основные опорные элементы методологически правильного названия темы диссертации).
«Обоснование нормативно-правовой базы по обеспечению свободы личности в уголовном процессе».
Для контраста приведем примеры методологически неправильного названия тем диссертаций.
1. «Исследование вопросов защиты чести, достоинства, деловой репутации предпринимателя». (В этой теме слово «исследование» лишнее, оно не несет никакой методологической нагрузки. И так ясно, что диссертация является исследованием. Кроме того, в этой теме отсутствует конечная цель).
2. «Особенности рассмотрения судами дел о защите прав потребителей». (В теме нет объекта и конечной цели).
3. «Нематериальный ущерб, причиненный гражданину незаконными действиями должностных лиц в сфере уголовного судопроизводства». (В теме нет конечной цели и нет объекта исследования).
4. «Выбор путей организации борьбы с административными правонарушениями». (В теме нет объекта и конечной цели. «Выбор путей» – термин не научный. Пути надо не выбирать, а строить).
5. «Подготовка и ведение судопроизводства в уголовном процесс». (В данной теме нет конечной цели и нет объекта. Два слова «подготовка» и «ведение» свидетельствуют о двух самостоятельных темах в одной диссертации. Исследование необходимо вести по одной из этих самостоятельных тем).
6. «Проблемы пересмотра судебных постановлений в порядке надзора». (В этой теме используется нераскрытое, пустое слово «проблемы». В теме также нет конечной цели и нет объекта исследования).
7. «Роль закладной при ипотечном кредитовании» (В теме отсутствуют конечная цель и объект исследования).
Таким образом, в названиях тем диссертаций следует избегать употребления таких слов, как: «исследование»; «проблема»; «исследование путей»; «к вопросу»; «некоторые вопросы»; «повышение»; «пути достижения»; «подготовка и ведение»; «подход» и т.п.
[[Дрянгина Е.А.]]
Дрянгина Е.А. [[Обучение студентов-филологов ассоциативно-образным средствам репрезентации языковой личности учителя]]
[[dea_ar 1]]
ОБУЧЕНИЕ СТУДЕНТОВ-ФИЛОЛОГОВ АССОЦИАТИВНО-ОБРАЗНЫМ СРЕДСТВАМ РЕПРЕЗЕНТАЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ УЧИТЕЛЯ Дрянгина Е.А. диссертация на соискание ученой степени кандидата педагогических наук / Ярославский государственный педагогический университет им. К.Д. Ушинского. Саранск, 2011 13.00.02
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=1145561]]*[ext[ссылка 2|https://new-disser.ru/_avtoreferats/01004985768.pdf]]
Объект исследования - процесс обучения студентов-филологов ассоциативно-образным средствам репрезентации языковой личности педагога.
Предмет исследования - методика обучения будущих учителей русского языка ассоциативно- образным средствам репрезентации языковой личности педагога.
Цель диссертационного исследования - разработка и экспериментальная проверка методики обучения студентов-филологов использованию метафоры и прецедентного текста как ассоциативно-образных средств репрезентации языковой личности педагога.
[[dea_ar_s5_3-4]]
Понятие языковой личности разработано в научной литературе достаточно глубоко.
[[dea_ar_s8_5]]
В текстах, продуцируемых языковой личностью, будут черты, свидетельствующие как об отнесенности ЯЛ к определенному социальному сообществу или более узкому речевому коллективу, так и об ее индивидуальности.
.[[dea_ar_s8_7]]
В научных работах предложен целый ряд типологий ЯЛ. В их основе лежит, например, признак индивидуальности или коллективности используемых языковых средств (эгоцентрическая и социоцентрическая ЯЛ у В. В. Красных), зависимость от степени конфликтности и способности к кооперации в речевом поведении (конфликтный тип; центрированный тип; кооперативный тип ЯЛ у И. Н. Горелова и К.Ф. Седова), выбор речевой стратегии (инвективный тип, куртуазный, рационально-эвристический у них же), тип внутринациональной речевой культуры (элитарная, среднелитературная, литературно-разговорная, фамильярно-разговорная, просторечная ЯЛ у О. Б. Сиротининой) и др. .
[[dea_ar_s9_2]]
Анализ дидактической и педагогической литературы показал, что в обществе сложилась следующая обобщенная модель идеальной языковой личности педагога: 1) вербально- семантический уровень: высокая лингвориторическая компетенция, позволяющая осуществлять
«мыслеречевую деятельность в продуктивном to рецептивном регистрах, монологическом и диалогическом режимах, устной и письменной формах», различных речевых жанрах. Повышенный самоконтроль за правильностью речи и корректирование речи окружающих, точность, логичность, выразительность и эмоциональная окрашенность (проявляющаяся, в первую очередь, через интонационное разнообразие речи и использование изобразительно- выразительных средств, в частности, метафоры). 2) лингво-когнитивный уровень: наличие общекультурных, психолого-педагогических, предметно-специальных представлений об окружающем мире. Приоритетные ценности: личность ученика, язык, общение, опыт; наличие идеалов или «образов-ориентиров»; творчество. 3) прагматический уровень: направленность на адресата, стремление к достижению коммуникативного согласия, к конструктивному диалогу, в ходе которого находятся взаимоприемлемые решения; выбор адекватных (доступных) собеседнику языковых средств общения, убедительность речи; .
[[dea_ar_s9_4]]
умение импровизировать. Основные цели: научить; воспитать; группа «ситуативных» интенций: похвалить, сделать замечание, комплимент, пошутить и т.д.
[[dea_ar_s10_l]]
Дубинина Наталья Валентиновна Трансформация вторичной языковой личности студента-арабиста в академическом арабоязычном дискурсе 10.02.19 - Теория языка 21.09.2018
[ext[ссылка|https://viewer.rusneb.ru/ru/000199_000009_000193228?page=1&rotate=0&theme=white]]
[[Термины]]
| [[Ев]] |[[Ед]] |[[Ем]] | [[Ес]] |
[ext[ссылка|http://vestnik.pstu.ru/get/_res/fs/file.pdf/6547/%C5.%C3.+%D1%EA%F0%E5%E1%EE%E2%E0%2C+%C8.%C1.+%CA%EE%EF%E5%ED%EA%E8%ED%E0+%D1%C5%CC%C0%CD%D2%C8%CA%CE-%D4%D3%CD%CA%D6%C8%CE%CD%C0%CB%DC%CD%C0%DF+%CC%CE%C4%C5%CB%DC+%CE%CF%C8%D1%C0%CD%C8%DF+%CD%C5%CC%C5%D6%CA%C8%D5+%D1%CB%CE%C6%CD%CE%CF%CE%C4%D7%C8%CD%C5%CD%CD%DB%D5+%CF%D0%C5%C4%CB%CE%C6%C5%CD%C8%C9+%D1+%C2%D0%C5%CC%C5%CD%CD%DB%CC+%C8+%CF%D0%CE%D1%D2%D0%C0%CD%D1%D2%C2%C5%CD%CD%DB%CC+%C7%CD%C0%D7%C5%CD%C8%C5%CCfile.pdf]]
Е.Г. Скребова, И.Б. Копенкина
Военный учебно-научный центр
Военно-воздушных сил
«Военно-воздушная академия
им. проф. Н.Е. Жуковского и Ю.А. Гагарина»,
Воронеж, Российская Федерация
СКРЕБОВА Екатерина Геннадьевна
e-mail: dolgorukaja1@rambler.ru
Кандидат филологических наук, доцент
209 кафедры иностранных языков Воен-
ного учебно-научного центра Военно-
воздушных сил «Военно-воздушной ака-
демии им. профессора Н.Е. Жуковского
и Ю.А. Гагарина» (Воронеж, Российская
Федерация)
* [ext[ссылка|https://omsu.ru/about/structure/science/ont/dissovet/dm-212-179-02/Egoshkina_2019/%D0%95%D0%B3%D0%BE%D1%88%D0%BA%D0%B8%D0%BD%D0%B0_%D0%9A%D0%94_%D0%A4%D0%98%D0%9D%D0%90%D0%9B_03.10.2019.pdf]]
* [ext[ссылка|https://vak.minobrnauki.gov.ru/az/server/php/filer_new.php?table=att_case&fld=autoref&key[]=100044864&version=100]]
ГЛАВА 3. ДИСКУРСИВНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ ВЕДУЩЕГО РАЗВЛЕКАТЕЛЬНОЙ РАДИОПРОГРАММЫ...................................................1773.1. Определение понятия «дискурсивная языковая личность».....................1773.2. Параметры типологического описания дискурсивной языковой личности ведущего развлекательной радиопрограммы....................................................1793.3. Характеристика дискурсивной языковой личности ведущего развлекательной радиопрограммы.....................................................................1843.3.1. Степень экспликации личной позиции радиоведущего по отношению к затрагиваемым в программе темам и проблемам.............................................1843.3.2.Коммуникативные установки дискурсивной языковой личности, применяемые к соведущим, слушателям, оппонентам....................................1893.3.3.Стратегии речевого поведения дискурсивной языковой личности в ситуации конфликта.............................................................................................1953.3.4.Лексико-стилистическая специфика речи ведущего развлекательной радиопрограммы...................................................................................................1973.4. Дискурсивная языковая личность ведущего развлекательной радиопрограммы «Сергей Стиллавин и его друзья»........................................200
Г. В. Елохова, Л. А. Романенко
[ext[ссылка|https://docviewer.yandex.ru/view/44297129/?*=RW5xQz%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%3D&lang=ru]]
[ext[ссылка|https://cyberleninka.ru/article/n/professionalnaya-yazykovaya-lichnost-buduschego-inzhenera-teoreticheskiy-aspekt]]
[[Емельянова З.В.]]
Емельянова З.В. [[Формирование интерактивной компетенции языковой личности при обучении иностранным языкам в неязыковом вузе]]
[[ezv_ar 1]]
Формирование интерактивной компетенции языковой личности при обучении иностранным языкам в неязыковом вузе Автореф. дис. на соиск. учен. степ. канд. пед. наук Спец. 13.00.01
ФОРМИРОВАНИЕ ИНТЕРАКТИВНОЙ КОМПЕТЕНЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ ПРИ ОБУЧЕНИИ ИНОСТРАННЫМ ЯЗЫКАМ В НЕЯЗЫКОВОМ ВУЗЕ Емельянова Зармена Владимировна диссертация на соискание ученой степени кандидата педагогических наук / Якутск, 2000 [[Емельянова Вариант заголовка ]]13.00.01
[[содержание диссертации|ezv_dis_soderzanie]]
* [ext[ссылка ар|https://rusneb.ru/catalog/000200_000018_RU_NLR_bibl_223194/viewer/]] * [ext[ссылка arD|https://yadi.sk/i/ABa4-QdKDjp0aQ]]
* [[ezv_ar_s3_4]]*{ {ezv_ar_s3_4}}
* [[ezv_ar_s3_7]]*{ {ezv_ar_s3_7}}*{ {ezv_ar_s3_7 1}}
* [[ezv_ar_s3_8]]*{ {ezv_ar_s3_8}}
* [[ezv_ar_s4_1]]*{ {ezv_ar_s4_1}}
* [[ezv_ar_s4_2]]*{ {ezv_ar_s4_2}}
Есенина Е.Ю. Развитие и формирование современной понятийно-терминологической системы профессионального образования России
[ext[ссылка НЭБ|https://viewer.rusneb.ru/ru/000199_000009_005539917?page=1&rotate=0&theme=white]]
*[ext[ссылка в Dis10|file:///E:/Dis/Dis10]]
Лутовинова Ольга Васильевна. Языковая личность в виртуальном дискурсе [ext[ссылка|https://rusneb.ru/catalog/000199_000009_007950767/]]
Из ответов Главного ученого секретаря ВАК на вопросы (http://vak.ed.gov.ru)
[ext[ссылка|http://www.imp.uran.ru/sites/default/files/UserFiles/File/dissovet/kandidat/2stil_yazyk.doc]]
О языке, стиле авторефератов и диссертаций и их оформлении
Как известно, автореферат является кратким, сжатым изложением содержания диссертации. Из его прочтения должно быть ясно существо диссертации, ее научные и практические результаты. Диссертационные советы недостаточно требовательны по отношению к содержанию авторефератов. Слабым местом здесь опять является формулирование новизны и личного вклада соискателя. Многие соискатели не имеют опыта экспертной работы, поэтому недооценивают обсуждаемые фрагменты диссертации, полагая, что в тексте все сказано и все ясно. Нередко изложение положений, выносимых на защиту, представляет общие и банальные утверждения. Например, такое положение: "разработана модель профессиональной готовности" или "разработана математическая модель процесса шлифования". Но существо модели не раскрыто.
Одним из важнейших критериев качества диссертации является ее аналитическое наполнение, обоснованность принятых физических, математических, экспериментальных моделей, обоснованность применения математического аппарата и его эффективность. Иногда математический аппарат присутствует в диссертации для придания наукообразного оформления, хотя основные выводы диссертации никак с этим аппаратом не связаны или связаны очень слабо. В диссертациях, где основу составляют экспериментальные исследования, необходимо показывать, как уровень экспериментов соответствует современному состоянию экспериментальных возможностей. Необходимо обращать внимание на использование экспериментальных методов, основанных на новых физических принципах, применение современной вычислительной техники и программных средств для автоматизации эксперимента, на объективность оценки погрешностей и достоверность полученных данных.
Диссертационные советы порой недостаточно требовательны в отношении формулировки названий диссертаций. Часто новизна темы и содержания диссертации завуалирована сложной научной фразеологией. Встречаются небрежно отредактированные формулировки, например, с цепочкой родительных падежей, в которых непросто разобраться, неоднократным использованием однокоренных слов и т.д. Известные вещи обозначаются модными словами. Вместо "методы", "средства" появляются "технологии", "многомерный инструментарий" и т.д. Используются сокращения и аббревиатуры, которые не являются общеизвестными и общепринятыми. Ключевые слова формулировки названий должны указывать на предметную область исследования и суть проблемы.
Стремление отдельных соискателей к наукообразию приводит к разрыву @@color:red; содержания, названия и выводов диссертаций @@ . Такого рода противоречие порождает дополнительные вопросы, желание разобраться в том, что стоит за многообещающими формулировками. В результате есть случаи, когда соискатели ученых степеней, приглашенные на заседание экспертного совета ВАК, затрудняются дать простую формулировку полученных научных результатов и ответить на вопросы по своей работе. Четко сформулированное название диссертации является одним из показателей квалификационного уровня соискателя ученой степени, а осуществление защит диссертаций с недостатками в названиях свидетельствует о недостаточной требовательности диссертационного совета. @@color:red; На этапе приема диссертации к защите совет должен обращать внимание на её название и при необходимости предлагать соискателям приводить название в соответствие с содержанием @@ .
[[Термины]]
| [[Жа]] | [[Же]] | [[Жи]] |
Жеребило Т.В. Словарь лингвистических терминов. Изд. 5-е, испр. и доп. – Назрань: ООО «Пилигрим», 2010. – 486 с
[ext[ссылка Интернет|http://uchitel-slovesnosti.ru/slovari/5.pdf]]
[ext[ссылка в библиотеку|file:///D:/BI/978-5-98993-133-0.pdf]]
17.05.2019 Жильцов Владимир Александрович Компьютерное моделирование языковой среды в дистанционном обучении РКИ (уровни А2-В1) 13.00.02
[ext[ссылка dis|http://dissovet.rudn.ru/web-local/prep/rj/dis/download.php?file=6ad653dfec39eb85abce36cfe92d154217791]]
[ext[ссылка ар|https://vak.minobrnauki.gov.ru/az/server/php/filer_new.php?table=att_case&fld=autoref&key[]=100038933&version=100]]
''фишка среда''
Глава 2
В методике традиционно принято выделять следующие цели обучения: практическую, общеобразовательную, воспитательную, развивающую и стратегическую [Московкин, Щукин, 2010]. Стратегической целью обучения РКИ является формирование ''вторичной языковой личности'', т.е. такого уровня владения языком, который присущ носителю языка (языковой личности) с точки зрения возможностей в процессе общения отражать средствами языка окружающую действительность и достигать определенных целей [Щукин, 2010,117]. «Языковая личность – это любой носитель того или иного языка, охарактеризованный на основе анализа произведенных им текстов с точки зрения использования средств данного языка для отражения окружающей действительности (картины мира)» [Азимов, Щукин, 2009]. В структуре вторичной языковой личности выделяются следующие уровни: 1) вербально-семантический (знание системы языка и умение ею пользоваться в различных ситуациях общения); б) когнитивный (знание понятий, идей, представлений, складывающихся в картину мира); в) прагматический (возможность реализовать свои цели в процессе речевой деятельности) [Щукин,2010,117]. Если же речь идет о ДО, то достижение подобного результата затруднено несовершенством любого электронного обучающего ресурса из-за отсутствия элементов коммуникативной среды, либо
[[zva_dis_s54_4]]
[[Журналы 0]]
Данные по стоимости публикаций [ext[ссылка|http://epign.istu.ru/science/useful/public]]
* 483. [[Вестник ПНИПУ. Проблемы языкознания и педагогики]] +
* 514. [[Вестник Российского университета дружбы народов. Серия "Информатизация образования"]] +
* 522. [[Вестник Российского университета дружбы народов. Серия "Психология и педагогика"]] +
* 1649. [[Педагогический ИМИДЖ]] +
* 1790. [[Профессиональное образование и рынок труда]]
* 1800. [[Психологическая наука и образование]] + ?
* 1890. [[Российский психологический журнал]] +
* 1973. [[Современная высшая школа: инновационный аспект/Contemporary higher education: innovative aspects]]
* 1978. [[Современная наука: актуальные проблемы теории и практики. Серия "Гуманитарные науки"]]
* 1990. Современное педагогическое образование
* 1992. [[Современные информационные технологии и ИТ-образование]] ??
* 1998. [[Современные проблемы науки и образования]] аналогично
* 2006. Социальная педагогика в России. Научно-методический журнал
* 2042. [[Стандарты и мониторинг в образовании]] -
* 2195. [[Управление образованием: теория и практика]] ?? не нашел
* 2198. [[Управление устойчивым развитием]]
* 2217. [[Ученые записки Забайкальского государственного университета]] -
* 2225. [[Ученые записки Крымского федерального университета имени В.И. Вернадского. Социология. Педагогика. Психология]]
* 2233. [[Ученые записки Орловского государственного университета]]
* 2236. [[Ученые записки Российского государственного социального университета]] - ?
* 2324. [[Ценности и смыслы]] + -
* 2326. [[ЦИТИСЭ]] -
* 2330. [[Человек и образование]] -
* 2335. [[Человеческий капитал]] -
* 2337. [[Школа Будущего]] ?
* 2381. [[Экономические и гуманитарные исследования регионов]] - ?
* 2459. [[Язык и культура]] +
[[Журналы]]
Данные по стоимости публикаций [ext[ссылка|http://epign.istu.ru/science/useful/public]]
* 483. [[Вестник ПНИПУ. Проблемы языкознания и педагогики]] +
* 514. [[Вестник Российского университета дружбы народов. Серия "Информатизация образования"]] +
* 522. [[Вестник Российского университета дружбы народов. Серия "Психология и педагогика]] +
* 1647. [[Педагогический журнал]] -
* 1648. [[Педагогический журнал Башкортостана]] -
* 1649. [[Педагогический ИМИДЖ]] +
* 1650. [[Педагогическое образование в России]] -
* 1651. [[Педагогическое образование и наука]]
* 1659. [[Перспективы науки]] -
* 1660. [[Перспективы науки и образования]] ?
* 1665. [[Письма в Эмиссия. Оффлайн (The Emissia. Offline Letters): электронный научный журнал]] -
* 1678. [[Полилингвиальность и транскультурные практики/ Polylinguality & Transcultural Practices]] + не принимают по 13.00.08
* 1688. Полицейская деятельность
* 1692. Право и образование
* 1716. Преподавание истории в школе
* 1717. Преподавание истории и обществознания в школе
* 1718. [[Преподаватель ХХI век]] - ?
* 1729. [[Прикладная психология и педагогика]] - ?
* 1761. [[Проблемы современного образования]] - ?
* 1762. [[Проблемы современного педагогического образования]] ?
* 1788. [[Профессиональное образование в России и за рубежом]] ?
* 1789. [[Профессиональное образование в современном мире]] ??
* 1790. [[Профессиональное образование и рынок труда]]
* 1793. Профильная школа
* 1800. [[Психологическая наука и образование]] + ?
* 1803. [[Психология и психотехника]] -
* 1804. [[Психология образования в поликультурном пространстве]] - ?
* 1810. [[Психолого-педагогический поиск]] - ??
* 1811. Психопедагогика в правоохранительных органах
* 1890. [[Российский психологический журнал]] +
* 1915. [[Самарский научный вестник]] - оплата ???
* 1950. [[Сибирский педагогический журнал]] - оплата ???
* 1973. [[Современная высшая школа: инновационный аспект/Contemporary higher education: innovative aspects]]
* 1978. [[Современная наука: актуальные проблемы теории и практики. Серия "Гуманитарные науки"]]
* 1988. Современное дошкольное образование. Теория и практика
* 1990. Современное педагогическое образование
* 1992. [[Современные информационные технологии и ИТ-образование]] ??
* 1994. [[Современные наукоемкие технологии]] -
* 1998. [[Современные проблемы науки и образования]] аналогично
* 2001. [[Современный ученый]] -
* 2006. Социальная педагогика в России. Научно-методический журнал
* 2037. Среднее профессиональное образование
* 2042. [[Стандарты и мониторинг в образовании]] -
* 2124. Традиционное прикладное искусство и образование
* 2195. [[Управление образованием: теория и практика]] ?? не нашел
* 2198. [[Управление устойчивым развитием]]
* 2217. [[Ученые записки Забайкальского государственного университета]] -
* 2225. [[Ученые записки Крымского федерального университета имени В.И. Вернадского. Социология. Педагогика. Психология]]
* 2233. [[Ученые записки Орловского государственного университета]]
* 2236. [[Ученые записки Российского государственного социального университета]] - ?
* 2240. [[Ученые записки университета имени П.Ф. Лесгафта]] - - -
* 2243. [[Ученые записки. Электронный научный журнал Курского государственного университета]] -
* 2252. Физика в школе
* 2261. Физическая культура. Спорт. Туризм. Двигательная рекреация
* 2263. Физическое воспитание и спортивная тренировка
* 2267. [[Филологические науки. Вопросы теории и практики]] -
* 2324. [[Ценности и смыслы]] + -
* 2326. [[ЦИТИСЭ]] -
* 2330. [[Человек и образование]] -
* 2335. [[Человеческий капитал]] -
* 2337. [[Школа Будущего]] ?
* 2381. [[Экономические и гуманитарные исследования регионов]] - ?
* 2415. Электронный научный журнал "Медиамузыка"
* 2459. [[Язык и культура]] +
* 2461. [[Ярославский педагогический вестник]] -
[[Термины]]
| [[За]] | [[Зв]] | [[Зд]] | [[Зн]] | [[Зо]] | [[Зр]] |
Проведенный анализ позволил констатировать, что диссертации по научной специальности "Общая педагогика, история педагогики и образования" посвящены, в основном, формированию либо языковой личности обучающихся в целом, либо отдельных её компонентов. В четырех из шести диссертаций за основу берется модель языковой личности Ю.Н. Караулова. В одной диссертации используется авторская модель языковой личности (В.А. Григорьева-Голубева). В диссертации Ю.Н. Хлызовой используется модель вторичной языковой личности И.И. Халеевой. Лишь в одной работе исследовалось становления языковой личности - студентов-лингвистов, в остальных исследование затрагивались проблемы развития языковой личности студентов гуманитарного профиля, но нелингвистов.
В работах по научной специальности "Теория и методика обучения и воспитания" также, в основном, изучаются вопросы формирования языковой личности в целом. Лишь в 2 диссертациях рассматриваются вопросы развития отдельных компонентов языковой личности (компетенций, тезауруса, прецендентных феноменов (текстов)). Из девяти диссертаций только в двух в качестве обучающихся рассматриваются студенты-не лингвисты.
Три диссертации по научной специальности "Теория и методика профессионального образования" рассматривают вопросы развития языковой личности студентов. В диссертации С.Д. Пивкина исследуемый контингент - профессионалы, повышающие свой уровень в системе дополнительного профессионального образования. Следует отметить, что только одна диссертация А.В. Юрьевой ориентирована на филологов, три остальные рассматривают вопросы формирования языковой личности юристов (Н.А. Дацун ) и специалистов технических специальностей (С.Ю. Годунова, С.Д. Пивкин).
Таким образом из 19 диссертаций, защищенных по проблемам развития языковой личности по научным специальностям, занимающихся вопросами профессионального образования, 9 связаны с лингвистами и филологами, а в 10 контингент - специалисты других профилей. Только в одной диссертации рассматриваются вопросы формирования языковой личности состоявшихся профессионалов. На этом основании можно сделать вывод, что научно-педагогическим сообществом в последнее время начинает активно разрабатываться проблема формирования и развития языковой личности специалиста, причем исследователей, в основном, интересует целостная картина, отражающая исследуемый конструкт в совокупности его компонентов. Многие ученые уделяют внимание развитию языковой личности будущих специалистов в области филологии и лингвистики, хотя есть работы, раскрывающие особенности развития языковой личности специалистов других профилей. Работ, посвященных изучению особенностей формирования языковой личности специалистов технических специальностей крайне мало, что свидетельствует о неразработанности данной проблемы. Вместе с тем, по нашему мнению, исследование вопросов формирования и развития в процессе профессионального образования языковой личности специалистов негуманитарного профиля крайне актуально. Хотя такие специалисты значительную часть времени функционируют в системе "человек-машина", перечень универсальных компетенций, критичных для качественного выполнения ими своих профессиональных обязанностей, включает и способность к эффективной коммуникации на родном и как минимум одном иностранном языке, а также способность работать в команде, выдвигать и обсуждать идеи, принимать решение на основе анализа вербализованной информации. Как показал проведенный анализ, педагогические исследования заимствуют уже хорошо изученные и описанные в работах по филологическим наукам конструкты. Всё это актуализирует необходимость изучение вопросов формирования языковой личности специалистов любого профиля на основе междисциплинарного подхода.
Дерябина Н.А - способность вербально противостоять речевой деструктивности среды [[*|derna_ar_s10_1_2]]
<center> ''Заключение'' </center>
Проведенный анализ позволил констатировать, что диссертации по научной специальности "Общая педагогика, история педагогики и образования" посвящены, в основном, формированию либо языковой личности обучающихся в целом, либо отдельных её компонентов. В четырех из шести диссертаций за основу берется модель языковой личности Ю.Н. Караулова. В одной диссертации используется авторская модель языковой личности (В.А. Григорьева-Голубева). В диссертации Ю.Н. Хлызовой используется модель вторичной языковой личности И.И. Халеевой. Лишь в одной работе исследовалось становления языковой личности - студентов-лингвистов, в остальных исследование затрагивались проблемы развития языковой личности студентов гуманитарного профиля, но нелингвистов.
В работах по научной специальности "Теория и методика обучения и воспитания" также, в основном, изучаются вопросы формирования языковой личности в целом. Лишь в 2 диссертациях рассматриваются вопросы развития отдельных компонентов языковой личности (компетенций, тезауруса, прецендентных феноменов (текстов)). Из девяти диссертаций только в двух в качестве обучающихся рассматриваются студенты-не лингвисты.
Три диссертации по научной специальности "Теория и методика профессионального образования" рассматривают вопросы развития языковой личности студентов. В диссертации С.Д. Пивкина исследуемый контингент - профессионалы, повышающие свой уровень в системе дополнительного профессионального образования. Следует отметить, что только одна диссертация А.В. Юрьевой ориентирована на филологов, три остальные рассматривают вопросы формирования языковой личности юристов (Н.А. Дацун ) и специалистов технических специальностей (С.Ю. Годунова, С.Д. Пивкин).
Таким образом из 19 диссертаций, защищенных по проблемам развития языковой личности по научным специальностям, занимающихся вопросами профессионального образования, 9 связаны с лингвистами и филологами, а в 10 контингент - специалисты других профилей. Только в одной диссертации рассматриваются вопросы формирования языковой личности состоявшихся профессионалов. На этом основании можно сделать вывод, что научно-педагогическим сообществом в последнее время начинает активно разрабатываться проблема формирования и развития языковой личности специалиста, причем исследователей, в основном, интересует целостная картина, отражающая исследуемый конструкт в совокупности его компонентов. Многие ученые уделяют внимание развитию языковой личности будущих специалистов в области филологии и лингвистики, хотя есть работы, раскрывающие особенности развития языковой личности специалистов других профилей. Работ, посвященных изучению особенностей формирования языковой личности специалистов технических специальностей крайне мало, что свидетельствует о неразработанности данной проблемы. Вместе с тем, по нашему мнению, исследование вопросов формирования и развития в процессе профессионального образования языковой личности специалистов негуманитарного профиля крайне актуально. Хотя такие специалисты значительную часть времени функционируют в системе "человек-машина", перечень универсальных компетенций, критичных для качественного выполнения ими своих профессиональных обязанностей, включает и способность к эффективной коммуникации на родном и как минимум одном иностранном языке, а также способность работать в команде, выдвигать и обсуждать идеи, принимать решение на основе анализа вербализованной информации. Как показал проведенный анализ, педагогические исследования заимствуют уже хорошо изученные и описанные в работах по филологическим наукам конструкты. Всё это актуализирует необходимость изучение вопросов формирования языковой личности специалистов любого профиля на основе междисциплинарного подхода.
Заключение диссертации по теме «Теория и методика воспитания (по направлениям и сферам деятельности)», Быкова, Галина Ивановна
Результаты исследования показали, что уровень владения родным языком может быть охарактеризован как недостаточный уровень примерно у 78% студентов 1 курса факультета русского языка и литературы, как достаточный - у 22% студентов.
Применение в учебно-воспитательном процессе разработанной нами технологии дало следующие результаты. В экспериментальных группах количество студентов с высоким уровнем развития языковой личности составило 13 чел. (503 гр. -6 чел., 504 гр. - 7 чел.), с достаточным уровнем -28 чел. (503 гр. и 504 гр. - по 14 чел.), студентов с недостаточным уровнем не выявлено (503- 21 чел., 504 - 19 чел. на начало эксперимента).
В контрольных группах произошло существенное снижение общего количество студентов-словесников с недостаточным уровнем развития языковой личности с 39 чел. до 1 чел. Кроме того, результаты диагностики показали, что только один студент из контрольной группы 501 достиг высокого уровня языковой личности, остальные 39 студентов поднялись на достаточный уровень (501 гр. - 17 чел., 502 гр. - 22 чел.). Незначительное увеличение числа студентов с высоким уровнем развития языковой личности (всего 1 чел.) объясняется тем, что в учебно-воспитательном процессе не была в системе применена разработанная нами технология воспитания языковой личности студентов-словесников.
Исследование показало, что эффективность процесса воспитания языковой личности студентов-словесников зависит от того, насколько студенты являются равноправными участниками обучения. Подход к студентам как носителям ценностного знания позволил активизировать их деятельность, что способствовало формированию устойчивой установки на получение знания.
Данные анкетного опроса педагогов, работающих как в экспериментальных, так и в контрольных группах, анализ характеристик студентов
V курса, данных им учителями-словесниками тех школ, в которых они проходили педагогическую практику свидетельствовали о положительных изменениях в отношении к учебной деятельности, о повышении их коммуникативных умений, и в целом, о достижении студентами-словесниками достаточного и высокого уровней развития языковой личности.
Таким образом, качественно-количественная обработка результатов исследования подтверждает положительную динамику уровней развития языковой личности студентов-словесников в экспериментальных группах.
Анализ литературы по проблеме исследования и педагогический эксперимент подтвердили выдвинутую гипотезу и позволили сделать следующие выводы:
1. Историко-логический и теоретический анализ проблемы показал: в психолого-педагогических исследованиях рассмотрены лишь отдельные аспекты данной проблемы, а вопросы воспитания языковой личности студентов-словесников недостаточно отражены в педагогической теории.
2. Языковая личность студентов-словесников - совокупность таких способностей и качественных характеристик, которые обусловливают создание и восприятие речевых произведений, а в целом - уровень владения языком. К числу таких способностей нами отнесены: осознание языка как феномена культуры, способность к анализу чужой и собственной речи, совершенствование собственных коммуникативных умений, умение анализировать свой коммуникативный опыт, умение корректировать собственную речевую практику, осознание необходимости расширения собственного языкового пространства.
3. Воспитание языковой личности студентов-словесников будет успешным, если сформированы устойчивая положительная мотивация к усвоению знания и активное отношение к процессу познания, то есть студенты готовы включиться в учебный процесс на уровне своих возможностей.
4. Эффективность комплекса методико-технологических средств в процессе воспитания языковой личности студентов-словесников зависит от учебных и воспитательных возможностей дисциплин речеведческого и лингвистического циклов, а также от поставленных на каждом этапе воспитания задач.
5. Опытно-экспериментальная работа подтвердила положение о том, что для осуществления процесса воспитания языковой личности студентов-словесников на занятиях речеведческого и лингвистического циклов необходимо системное использование комплекса методико-технологических средств на каждом этапе учебной деятельности (стимул ирующе-мотивационном, операционно-деятельностном и оценочно-резул ьтати в н ом).
6. Применение разработанного комплекса методико-технологических средств на каждом этапе учебно-воспитательного процесса является условием позитивной динамики уровней развития языковой личности студентов-словесников.
7. Результатом проведенной работы явилось исследование лишь некоторых вопросов воспитания языковой личности студентов-словесников. В перспективе дальнейшие исследования, на наш взгляд, должны затронуть сферу довузовской подготовки, обращая особое внимание на детальную разработку качественных характеристик языковой личности школьников на различных возрастных этапах и технологии воспитания языковой личности школьников с учетом их возрастных и индивидуальных особенностей, а также на подготовку педагогических кадров по освоению методики и технологии педагогического руководства процессом воспитания языковой личности школьников. Считаем возможным дальнейшие исследования осуществить в сфере высшего образования со студентами других гуманитарных факультетов.
ЗАКЛЮЧЕНИЕ
Проблема воспитания языковой личности студентов-словесников приобрела особое значение в современных условиях, когда возникла необходимость в демократическом обновлении нашего общества, в реализации принципов гуманизации в области образования. Накопленный опыт и новые социальные условия позволили нам четко обозначить основные направления воспитания студентов-словесников как языковой личности.
В настоящее время в сфере внимания ученых оказались различные аспекты названной проблемы: модель языковой личности, выделение уровней организации языковой личности, взаимообусловленность культурного состояния современного русского языка и формирования языковой личности, коммуникативно-деятельностная сторона языковой личности.
Особый вклад в решение данной проблемы внесли лингвисты Г.И.Богин, Р.А.Будагов, В.В.Виноградов, Л.С.Выготский, В.В.Давыдов, Ю.Н.Караулов, И.В.Сентенберг и др. Ими был сделан вывод, что только личность, свободно владеющая большим запасом языковых (лексических и грамматических) средств, правильно и эффективно использующая их в разнообразных ситуациях общения, характеризуется как языковая личность.
Однако в педагогической литературе вопросам воспитания языковой личности в целом отводится недостаточное место, не разработана методика и технология воспитания языковой личности студентов-словесников.
Под языковой личностью студентов-словесников мы понимаем совокупность таких способностей и качественных характеристик личности, которые обусловливают создание и восприятие речевых произведений, а в целом - уровень владения языком. К числу таких способностей мы относим: осознание языка как феномена культуры, способность к анализу собственной и чужой речи, совершенствование коммуникативных умений.
В ходе экспериментальной работы по данной педагогической проблеме были разработаны качественные характеристики и определены уровни развития языковой личности студентов-словесников (недостаточный, достаточный, высокий) в соответствиями с требованиями к уровню подготовки выпускника факультета русского языка и литературы и качественных характеристик языковой личности.
Воспитания языковой личности студентов-словесников предполагает формирование такой мотивационной сферы, в которой преобладающими являются потребности, связанные с овладением родным языком и постоянным совершенствованием этой способности. Существует ряд условий, влияющих на процесс формирования положительного отношения к учению: личная заинтересованность студентов-словесников в конкретном учебном материале; взаимоотношения, которые сложились у студентов с педагогами, стиль преподавания и общения педагогов; взаимоотношения, сложившиеся у студентов с однокурсниками; ориентированность на получение педагогической профессии.
Положительное отношение к учению, устойчивая установка на саморазвитие, самовоспитание, самосовершенствование формируются тогда, когда все названные педагогические условия находятся в оптимальном соотношении. Однако в практической деятельности далеко не всегда находят отражение вышеназванные требования, поэтому педагоги исследуют пути формирования активного отношения к учению, без чего воспитание языковой личности не представляется эффективным.
В процессе воспитания языковой личности студентов-словесников мы исходили из необходимости учитывать возрастные особенности студентов-словесников, основные положения о гуманизации образования, подходить к достижению целей с позиций личностного и деятельностного подходов.
Только комплексное осуществление подходов к воспитанию позволило рационально и профессионально грамотно организовать процесс воспитания языковой личности студентов-словесников.
Важным условием воспитания языковой личности студентов-словесников является системное применение комплекса методико-технологических средств на каждом этапе учебной деятельности (мотива-ционно-целевом, операционно-деятельностном, оценочнорезул ьтативном).
Комплекс методико-технологических средств включает в себя методы и приемы воспроизведения и осмысления лингвистического и речеведческого материала, организации деятельности, стимулирования деятельности студентов-словесников, контроля, самоконтроля и самооценки деятельности и поведения.
На первом этапе формирующего эксперимента задача состояла в стимулировании интереса у студентов-словесников к развитию собственной речевой культуры, формировании устойчивых мотивов к приобретению знаний, а также активного отношения к процессу познания. На данном этапе широкое применение нашли следующие методы: интерактивное обучение, создания проблемных ситуаций, ситуаций успеха и речевого идеала. В результате нам удалось сформировать положительную мотивацию, устойчивую потребность у студентов-словесников в совершенствовании себя как языковой личности.
Операционно-деятельностный этап педагогического эксперимента заключался в организации самого процесса воспитания, целью которого являлось формирование основных качественных характеристик языковой личности студентов-словесников, к числу которых нами отнесены: осознание языка как феномена культуры, способность к анализу чужой и собственной речи, совершенствование собственных коммуникативных умений, умение анализировать свой коммуникативный опыт, умение корректировать собственную речевую практику, осознание необходимости расширения собственного языкового пространства. На данном этапе мы применяли такие методы и приемы, как объяснение и рассуждение, выполнение различных упражнений и анализ речевых ситуаций, различные виды оценки и самооценки, метод словесного убеждения, стимулирование, создание педагогических ситуаций. В ходе эксперимента мы продолжали формировать коммуникативные умения и навыки, расширяли языковое пространство у студентов-словесников, работали над освоением литературной нормы и др.
Оценочно-результативный этап имел целью превратить итог предыдущей деятельности в осознанную устойчивую установку на дальнейшее саморазвитие, самовоспитание и самосовершенствование личности студентов-словесников. Из всего комплекса методов и приемов наиболее приемлемыми для решения указанной задачи явились: методы стимулирования (ситуация успеха, опора на положительное в человеке, выделение положительного в деятельности), методы контроля, самоконтроля и самооценки деятельности и коммуникативного поведения, создание педагогических ситуаций, различные формы упражнений, рефлексия, рецензирование и редактирование текстов.
Экспериментальной базой исследования явились факультет русского языка и литературы УрГПУ, средние общеобразовательные школы г.Екатеринбурга (№№ 11, 67, 178), школа-гимназия №99 (г.Екатеринбург), школа-лицей №40 (г.Екатеринбург).
На подготовительном этапе педагогического эксперимента было проведено диагностирование студентов-словесников I курса факультета русского языка и литературы с целью выявления уровней развития их языковой личности. Опираясь на важнейшие качественные характеристики языковой личности студентов-словесников, были определены: уровень знания теории языка студентами I курса; степень овладения литературной нормой (орфографической и пунктуационной); умение составлять устные и письменные тексты и др. Для выявления уровня владения родным языком мы применяли анкетирование, тестирование, наблюдение, разнообразные контрольные задания.
1 Можно констатировать что диссертации по специальности посвящены в основном формированию либо языковой личности студентов, либо отдельных её компонент языковой личности.
В четырех из шести диссертациях за основу берется модель языковой личности Ю.Н. Караулова. В одной диссертации используется авторская модель языковой личности (В.А. Григорьева-Голубева). В диссертации Ю.Н. Хлызовой используется модель вторичной языковой личности И.И. Халеевой.
Из 6 диссертаций только в одной исследовалось становления языковой личности - студентов лингвистов
2 выводы Как было отмечено выше четыре диссертации посвящены формированию языковой личности, в остальных рассматриваются вопросы развития отдельных компонентов языковой личности (компетенций, тезауруса, прецендентных феноменов (текстов) и т.д.) Из девяти диссертаций только в двух в качестве обучаемых рассматриваются студенты не лингвисты.
9 диссертаций
3 Выводы Первые три диссертации рассматривают вопросы развития языковой личности студентов, в диссертации С.Д. Пивкина исследуемый контингент - профессионалы повышающие свой уровень в системе дополнительного профессионального образования Следует отметить, что только одна диссертация А.В. Юрьевой ориентирована на профессионалов филологов, три остальные рассматривают вопросы формирования языковой личности юристов (Н.А. Дацун ) и специалистов технических специальностей (С.Ю. Годунова, С.Д. Пивкин).
Таким образом из 19 диссертаций 9 связаны с лингвистами и филологами а 10 контингент - нелингвисты и филологи. Только в одной диссертации рассматриваются вопросы формирования формирвания языковой личности состоявшихся профессионалов.
В диссертации
[[Концепт в публикациях]]
* Программа Zim [ext[ссылка|file:\\\D:\DIS\EnZim\ZimDesktopWikiPortable.exe]]
*[ext[Оболочка IDLE|D:\Portable Python-3.8.2 x64\IDLE-Launcher.exe]]
[ext[ссылка в библиотеку|file:///D:/BI/S/zachem-nujen-slovar.pdf]]
''Ретроспективный психологический анализ''
Ретроспективный психологический анализ соотносится с последним, завершающим этапом деятельности учителя по организации и проведению урока. Его роль трудно переоценить. Сопоставление проекта, плана (замысла) урока с его реализацией позволяет учителю оценить правильность выбранных им для обоснования урока теоретических посылок, выявить его достоинства и недостатки, наметить пути устранения слабых сторон при сохранении и улучшении сильных, выявить отклонения от плана. Другими словами, такой анализ позволяет учителю понять причины (позитивные или негативные) изменения хода урока — виноват ли сам учитель, учащиеся или ситуация. стр 269_3
Соединяя в себе результаты предваряющего и текущего психологического анализа и завершая организацию и проведение данного конкретного урока, ретроспективный анализ в то же время служит как бы стартом к следующему уроку, подготавливая его первый этап, являясь связующим звеном, которое способствует осмыслению составляемых учителем «цепочек» уроков. Можно утверждать, что чем осознаннее и объективнее учитель разбирает свой урок, фиксируя причины своей удачи или неудачи, тем совершеннее он будет планировать и проводить последующие уроки. Ретроспективный анализ не ограничен временем, позволяя учитывать большой объем информации, принимать правильное решение, проверяя и корректируя его.
Отметив важность и значимость каждого из уровней психологического анализа урока в становлении педагогического мастерства учителя, подчеркнем, что ретроспективный психологический анализ, хотя и вызывает меньше затруднений у учителя, в то же время представляет собой достаточно сложный вид анализа, он предполагает раскрытие всех связей, установление причинно-следственных отношений урока, высокий уровень аналитических рефлексивных способностей и умений, является инструментом, средством их развития. Этот уровень анализа эффективен в плане системного представления учителя о его деятельности, позволяя ему сопоставить результаты предваряющего и текущего анализов.
Рассмотрим подробнее содержание ретроспективного психологического анализа урока. Прежде всего отметим, что он требует определенной логической организации анализируемого материала, определенной схемы, которая служит для учителя своеобразным ориентиром, не позволяющим его мыслим «скользить по поверхности фактов и расплываться в самых разнообразных направлениях» (СВ. Иванов). стр. 270_1-3
Зимняя И.А. Педагогическая психология . -- Ростов-на-Дону:Феникс,1997.-480с. [ext[ссылка|http://pedlib.ru/Books/2/0309/2_0309-269.shtml#book_page_top]]
ОСОБЕННОСТИ РЕАЛИЗАЦИИ ПРОФЕССИОНАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ В ЕСТЕСТВЕННОЙ ПИСЬМЕННОЙ РЕЧИ ПРЕДПРИНИМАТЕЛЕЙ Золотова Екатерина Сергеевна диссертация ... кандидата филологических наук : 10.02.19 / Челябинский государственный университет. Челябинск, 2013
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=1135436]]*[ext[ссылка ар|https://new-disser.ru/_avtoreferats/01006723379.pdf]]*[ext[ссылка ар2|https://vak.minobrnauki.gov.ru/az/server/php/filer_new.php?table=att_case&fld=autoref&key[]=133082&version=100]]
*[[zes_ar_s3]]*{ {zes_ar_s3}}
*[[zes_ar_s4]]*{ {zes_ar_s4}}
*[[zes_ar_s5]]*{ {zes_ar_s5}}
*[[zes_ar_s6]]*{ {zes_ar_s6}}
*[[zes_ar_s7]]*{ {zes_ar_s7}}
*[[zes_ar_s3]]*{ {zes_ar_s3}}
Е.В.Зыкова
Ленинградский государственный университет имени А.С.Пушкина(г. Пушкин – Санкт-Петербург)
!!''ЯЗЫКОВАЯ ЛИЧНОСТЬ И ГИПЕРТЕКСТ''
Проблема изучения взаимодействия личности с гипертекстом заключается в том, что оно включает множество разновидовых форм деятельности. При теоретическом обосновании этого явления необходимо учитывать чаты, конференции, видеоконференции (их можно записать, и вернуться к ним вновь), социальные сети, и более-менее приближенные к эпохе Гутенберга в силу своей относительно линейной структуры печатные тексты, связанные гиперссылками, и т.д. Кроме того, постоянные видоизменения и обновления носителей информации (ipod, ipad, smartphone) заставляют предугадывать тенденции отношений человека, общества и технологий на несколько шагов вперед. Типы гипертекстов различаются по степени свободы читателя, по своей структуре и разветвленности, по возможностям обратной связи, и т.д. Сближение технологий с нейронными структурами мозга стирает границы электронного гипертекста с нецифровой действительностью или же «оцифровывает аналоговую реальность». Иными словами, лингвистический анализ гипертекста оказывается невозможным без понимания более общих вопросов о том, что происходит с человеком, обществом, природой.
Метафоры «сетей», «зеркал», «связей» и «отражений» пронизывают современное сознание. В то же время мозаичность и коллаж теряют свойство разобщенности, отмечаемого постмодернизмом, становясь современной моделью освоения мира. Знания, размышления, интуитивные прозрения с разных уровней и областей сходятся воедино благодаря связям гипертекста. Гипертекст задает формат, приучает к иному типу мышления, изменяет подходы в образовании, ориентируя на формирование и развитие умений и навыков обращения с информацией, осуществление герменевтического подхода к знанию.
Лингвистические категории текста связности и целостности приобретают новое звучание по от-ношению к языковой личности в электронном пространстве. Языковая личность создает информационное поле, отражающее интересы и потребности конкретного индивида. Социальные сети, блоги, персональные странички – примеры создания «личного» гипертекста, где связующей парадигматической осью и центром становится человек. Личностный микрокосм становится макроконтекстом для постоянно обновляющегося, подвижного гипертекста.
Представляет интерес то, как информационное пространство изменяется и обновляется через установление связей с новыми для данного человека или группы концептами, как организуется содержание сети в целом.
Понятие симметрии, характерное для текста эпохи Гутенберга (начало, середина, конец произведения), не работает в электронной среде. Гипертекст уходит в бесконечность. Тем не менее, современная наука, в частности, синергетика, равно как и история искусств, показывают, что симметричность является организующим началом во всех сферах, вершина подчиняет себе элементы системы, синхронизирует процессы: «Мы только начинаем познавать законы симметрии (зеркальности), ко-
51
торые действуют на самых разных уровнях мироздания, от крошечных “суперструн” до параллель-ных вселенных. В 1995 году были впервые экспериментально получены атомы антивещества, вза-имодействие которого с веществом обещает в отдаленном будущем новые источники энергии. По-иск симметрии лежит и в основе проблемы времени, однонаправленность которого издавна смуща-ла физиков и философов. Обратимость хода времени, симметрия прошлого и будущего могут быть достигнуты и в ходе генетических экспериментов по выявлению и устранению механизмов старе-ния <...>. Другое направление – открытие параллельных, зеркальных вселенных, где правое и ле-вое меняются местами и время течет в обратном направлении» [Эпштейн, 2004: 145]. В гипертек-сте центр еще больше (по сравнению с печатным текстом) смещается в сторону языковой личности. Электронный текст все больше сливается с психической реальностью, становится этой реальностью. Таким образом, новые информационные технологии «очеловечиваются» через гипертекст, создают новую среду, которую мы только еще начинаем осваивать и осознавать.
Текст трактуется как мир – универсальный контекст нашей жизни [Касавин, 2008: 152]. Реальность для человека не существует вне текста. Смысл является человеку всегда опосредованно, через символы (знаки, образы) [Воркачев, 2002: http://tpl1999.narod.ru/WEBTPL2002/VORKACHEVTPL2002.HTM]. В эпоху Гутенберга можно было говорить о существовании реальности, опосредованной текстом, в эпо-ху гипертекста можно говорить о зарождении гиперреальности. Приставка «гипер-» указывает на сле-дующий уровень означивания явлений, непосредственно влияющих на жизнь людей.Здесь в понима-нии того, что происходит с нами сейчас, может оказаться полезным анализ опыта мира искусства. Ис-кусство предчувствует грядущее, через создание инновационных моделей подготавливает к смене па-радигм в восприятии реальности. В начале XX века, в связи с изобретением фотоаппарата, камеры, фи-лософы говорили об «аппарате», стоящем между аудиторией и актером, заслоняющим собой игру акте-ра, высказывались сомнения в том, что кино и фотография являются искусством. Уолтер Беньямин го-ворит о происходящей перемене в восприятии: «The film actor’s feeling of estrangement [здесь и да-лее в статье выделено нами – Е.В.] in the face of the apparatus <...> is basically of the same kind as the estrangement felt before one’s appearance [Erscheinung] in a mirror. But now the mirror image [Bild] has become detachable from the person mirrored, and is transportable. And where is it transported? To a site in front of the public» [Benjamin, 2003: 261]. «Отстранение», «отделение», «возможность переноса» – не что иное, как создание нового отношения к реальности, помогающего осваивать и формировать окру-жающую среду. Уходя вглубь веков, похожие опасения в «отстранении» человека от «живого» общения высказывались античными классиками в связи с распространением письма: «Платон в диалоге “Федр” излагает египетскую легенду, направленную против письменности (привычки, из-за которой люди пре-небрегают упражнением памяти и зависят от написанных знаков, неспособных ответить на поставлен-ный вопрос) <...>. Определенную роль играло в античности и то соображение, что, как говорил Пифа-гор, учитель выбирает себе учеников, а книга читателей не выбирает – они могут оказаться злодеями или глупцами» [Касавин, 2008: 170, 171].
Гипертекст выводит на новый уровень связей, где читатель предстает автором, а автор – чи-тателем, причем тенденции к этому отмечались задолго до появления современных информаци-онных технологий: «For centuries it was in the nature of literature that a small number of writers confronted many thousands of readers. This began to change towards the end of the past [XIX в. – при-меч. наше – Е.В.] century. With the growth and extension of the press, which constantly made new political, religious, scientific, professional, and local journals available to readers, an increasing number of readers – in isolated cases, at first – turned into writers <...>. Thus, the distinction between author and public is about to lose its axiomatic character. The difference becomes functional; it may vary from case to case. At any moment, the reader is ready to become a writer» [Benjamin, 2003: 263].
Таким образом, коммуникативные процессы становятся «плотнее» в силу возрастающей актив-ности пользователей сети. Связи, устанавливаемые языковыми личностями, позволяют проник-нуть, вслушаться, всмотреться в миры Других, соотнести свое Я с «Я» Другого, достигая опреде-ления своей идентичности, познания самого себя. Технологии дают возможность обратиться из-вне вовнутрь – единственную реальность, которая нам дана от рождения. Здесь применима мета-фора Уолтера Беньямина, сравнивающего оператора камеры и художника: «How does the camera operator compare with the painter? In answer to this, it will be helpful to consider the concept of the operator as it is familiar to us from surgery. The surgeon represents the polar opposite of the magician. The attitude of the magician, who heals a sick person by a laying-on of hands, differs from that of the surgeon, who makes an intervention in the patient. The magician maintains the natural distancebetween himself and the person treated; more precisely, he reduces it slightly by laying on his hands,
52
but increases it greatly by his authority. The surgeon does exactly the reverse; he greatly diminishes the distance from the patient by penetrating the patient’s body, and increases it only slightly by the caution with which his hand moves among the organs. In short: unlike the magician (traces of whom are still found in the medical practitioner), the surgeon abstains at the decisive moment from confronting his patient from person to person; instead, he penetrates the patient by operating. – Magician is to surgeon as painter is to cinematographer. The painter maintains in his work a natural distance from reality, whereas the cinematographer penetrates deeply into its tissue. The images obtained by each differ enormously. The painter’s is a total image, whereas that of the cinematographer is piecemeal, its manifold parts being assembled according to a new law. Hence, the presentation of reality in film is incomparably the more significant for people of today, since it provides the equipment-free aspect of reality they are entitled to demand from a work of art, and does so precisely on the basis of the most intensive interpenetration of reality with equipment» [Benjamin, 2003: 263–264]. Выделенные слова уси-ливают представление о разнице во взаимодействии читателя с печатным и электронным текстами.
Гипертекст есть одновременно процесс и результат, репрезентирующие языковую личность, сред-ство освоения действительности индивидом, способ коммуникации при помощи современных техни-ческих средств. Гипертексту по-прежнему присущи лингвистические категории текста: связности – непрерывном установлении и обновлении связей между информационными единицами (гипотекста-ми) и цельности – нахождении языковой личностью «своего» центра в каждой части гипертекста.
Ю.Н.Караулов различает три уровня в структуре языковой личности: 1) вербально-семантический, предполагающий для носителя нормальное владение естественным языком, а для исследователя – традиционное описание формальных средств выражения определенных значений; 2) когнитивный, единицами которого являются понятия, идеи, концепты, складывающиеся у каждой языковой инди-видуальности в более или менее упорядоченную, более или менее систематизированную «картину мира», отражающую иерархию ценностей. Когнитивный уровень устройства языковой личности и ее анализа предполагает расширение значения и переход к знаниям, а значит, охватывает интеллекту-альную сферу личности, давая исследователю выход через язык, через процессы говорения и пони-мания – к знанию, сознанию, процессам познания человека; 3) прагматический, заключающий цели, мотивы, интересы, установки и интенциональности. Этот уровень обеспечивает в анализе языковой личности закономерный и обусловленный переход от оценок ее речевой деятельности к осмыслению реальной деятельности в мире. [Караулов, 1989: http://genhis.philol.msu.ru/article_329.html#top]
@@color:red; Выделяемые уровни соответствуют уровням лингвистического анализа гипертекста, приводимыми Т.И.Рязанцевой [Рязанцева, 2009: 72]: 1) семантический (уровень информационных единиц, номинация, парадигматика гипертекста); 2) синтаксический, композиционно-стилистический (уровень связей, референция, синтагматика гипертекста); 3) прагматический, риторический (уровень системы навигации – гиперссылки, предикация, риторика гипертекста).@@
//Таким образом, взаимодействие языковой личности и гипертекста происходит на парадигматическом, синтагматическом и прагматическом уровнях с целью восстановить симметрию информационного поля человека. //
В информационной единице гипертекста заключен потенциал развертывания всего гипертекста. Применяя термины синергетики, языковая личность является аттрактором, организующим открытую систему гипертекста, приводящей эту систему в движение, синхронизирующей протекающие языковые процессы.
Красноречивой метафорой модели складывающегося поля взаимодействия языковой личности и гипертекста может послужить вступление к повести современного американского писателя Эдварда Фалько. Произведение «Circa 1967–1968» (http://www.eastgate.com/Circa/circa.html) открывается полуразмытой фотографией задумавшегося человека в центре, окруженного многочисленными вещами-гиперссылками. Дана поверхность, содержащая в себе весь потенциал нераскрытого еще гипертекста. Здесь уже присутствуют все ключевые концепты, метафоры, которые только способен найти, выстроить для себя читатель. Единственная «молчащая» фигура – сам человек. В нашем случае это как напоминание о том, что языковая личность не раскрывает всей сложности «микрокосма» индивидуума. Как и гипертекст, он заключает в себе бесчисленное количество возможностей, которые только он в силах реализовать.
---
```
1. Воркачев, С.Г. Методологические основания лингвоконцептологии // Теоретическая и прикладная лингвисти-ка. Межвузовский сборник научных трудов. Выпуск 3. – Воронеж, 2002 [Электронный ресурс] // Режим доступа http://tpl1999.narod.ru/WEBTPL2002/VORKACHEVTPL2002.HTM, дата доступа – январь-февраль 2010.
```
53
```
2. Караулов, Ю.Н. Русская языковая личность и задачи ее изучения // Язык и личность. – М., 1989. – С. 3–8 [Электронный ресурс] // Режим доступа http://genhis.philol.msu.ru/article_329.html, дата доступа – февраль, 2010.
3. Касавин, И.Т. Текст. Дискурс. Контекст. Введение в социальную эпистемологию языка. – М.: «Канон+» РООИ «Реаби-литация», 2008. – 544 с.
4. Князева Е.Н., Курдюмов С.П. Основания синергетики. Синергетическое мировидение. – М.: КомКнига, 2005. – 240 с.
5. Рязанцева, Т.И. Гипертекст и электронная коммуникация. – М.: ЛКИ, 2009. – 256 с.
6. Тарасенко, В.В. Фрактальная семиотика. «Слепые пятна», перипетии и узнавания. – М.: Книжный дом «ЛИБРОКОМ», 2009. – 232 с.
7. Эпштейн, М. Знак пробела: О будущем гуманитарных наук. – М.: Новое литературное обозрение, 2004. – 864 с.
8. Benjamin, W. The Work of Art in the Age of Its Technological Reproducibility. Third Version / W. Benjamin: Selected Writings. Volume 4. 1938–1940. – The Belknap Press of Harvard University Press, Cambridge, Massachusets, and London, England. – 2003. – P. 251–283.
9. Falco, E. Circa 1967–1968 [Электронный ресурс] // Режим доступа http://www.eastgate.com/Circa/circa.html, дата доступа – февраль 2010
```
54
[[Термины]]
| [[Иг]] | [[Ид]] | [[Ие]] | [[Из]] | [[Им]] | [[Ин]] | [[Ис]] |
{{Ид}}
ПЕДАГОГИЧЕСКИЕ ОСНОВЫ ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ ПОСРЕДСТВОМ КУЛЬТУРЫ ИНОЯЗЫЧНОГО ЧТЕНИЯ [[Иванова]] Г.А. диссертация на соискание ученой степени кандидата педагогических наук / Якутск, 2000 13.00.01
Иванова Г.А. [[Педагогические основы формирования языковой личности посредством культуры иноязычного чтения]]
[[Содержание|СодержаниеИвановаГА]]
*[ext[ссылка автореферат интернет|https://yadi.sk/i/W9ELNPkDhC0J6Q]]*[ext[ссылка автореферат локальная|D:\BI\a_ivanova_ga.pdf]]
[ext[ссылка |https://new-disser.ru/product_info.php?products_id=830601]]
[[iga_ar 1]]
* [[Диссертация|ДиссертацияИвановаМА]]
* [[Проблемы формирования языковой личности студентов в процессе обучения]]
* [[Роль профессионально-ориентированной среды в формировании языковой личности студентов в вузе]]
* [[О термине «языковая личность»: истоки, проблемы, перспективы использования]]
* [[Методологические проблемы создания словаря языковой личности]]
[[Игнатова И.Б.]]
Игнатова И.Б. [[Обучение грамматическому строю русской речи иностранных студентов-филологов как основа формирования языковой личности будущего учителя]]
[[iib_dis 1]]
ОБУЧЕНИЕ ГРАММАТИЧЕСКОМУ СТРОЮ РУССКОЙ РЕЧИ ИНОСТРАННЫХ СТУДЕНТОВ-ФИЛОЛОГОВ КАК ОСНОВА ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ БУДУЩЕГО УЧИТЕЛЯ Игнатова И.Б. диссертация на соискание ученой степени доктора педагогических наук / Санкт-Петербург, 1997 13.00.02
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=837842]]
* ЧАСТЬ I
* ТЕОРЕТИЧЕСКИЕ ОСНОВЫ ОБУЧЕНИЯ ГРАММАТИЧЕСКОМУ СТРОЮ РУССКОЙ РЕЧИ ИНОСТРАННЫХ СТУДЕНТОВ-ФИЛОЛОГОВ В ПРОЦЕССЕ ЛИЧНОСТНО ОРИЕНТИРОВАННОГО ОБУЧЕНИЯ РУССКОМУ ЯЗЫКУ НА ПОДГОТОВИТЕЛЬНОМ ФАКУЛЬТЕТЕ
* ГЛАВА I. Лингводидактические основы формирования грамматического строя русской речи иностранны студентов-филологов подготовительного факультета.
* 1. Лингводидактическая значимость концепта языковая личность при обучении грамматическим основам иноязычной речи студентов-филологов .
** 1.1. Структура языковой личности в лингводидактическом аспекте.
** 1.2. Языковая картина мира и формирование вторичной языковой личности в процессе обучения базовому грамматическому строю русской речи иностранных студентов-филологов.
* 2. Функциональное направление в исследованиях современных лингвистов и его отражение в методике преподавания русского языха как неродного
* 3. Интегративное взаимодействие языковых единиц разных уровней в процессе личностно ориентированного обучения грамматическому строю русского языка студентов-филологов.
* 4.Текст как единица обучения грамматическим основам русской речи иностранных студентов-филологов.
* 4.1.Текст как объект изучения и средство обучения
* 4.2. Учебный текст и его основные функции.
* ГЛАВА 2 Психолингвистические основы обучения грамматическому строю русской речи иностранных студентов-филологов подготовительного факультета .
* 1.Речевая деятельность, грамматическое структурирование речевых высказываний и текст.
* 2. Соотношение теоретических знаний и практических навыков и умений в процессе личностно ориентированного обучения грамматическим основам правильной русской речи иностранных студентов-филологов .
* 3.Психолингвистический аспект проблемы обучения взрослых русскому языку как иностранному.
* ВЫВОДЫ
* ЧАСТЬ II МЕТОДИКА ФОРМИРОВАНИЯ ГРАММАТИЧЕСКОГО СТРОЯ РЕЧИ ИНОСТРАННЫХ СТУДЕНТОВ-ФИЛОЛОГОВ В ПРОЦЕССЕ ЛИЧНОСТНО ОРИЕНТИРОВАННОГО ОБУЧЕНИЯ РУССКОМУ ЯЗЫКУ НА ПОДГОТОВИТЕЛЬНОМ ФАКУЛЬТЕТЕ.
* Глава 1. Характер грамматических ошибок в речи иностранных студентов подготовительного факультета и разработка основных направлений экспериментального обучения.
* 1. Динамика развития грамматического строя русской речи иностранных студентов подготовительного факультета материалы констатирующего эксперимента
* 2. Основы классификации грамматических ошибок и определение причин их устойчивости в речи иностранных студентов материалы констатирующего эксперимента
* 3. Основные направления экспериментальной работы по обучению грамматическому строю речи иностранных студентов-филологов.
* Глава 2. Принципы обучения грамматическому строю иноязычной речи студентов-филологов в процессе личностно ориентированного обучения русскому языку.
* 1. Проблема преемственности в обучении русскому языку как неродному студентов-филологов при системно-функциональном подходе к изучению языковых явлении.
* 2 Реализация в экспериментальном обучении принципа преемственности при системно-функциональном подходе к изучению языковых единиц в процессе формирования вторичной ЯЗЫКОВОЙ личности иностранных студентов-филологов .
* 3. Взаимосвязь обще дидактических принципов с частно-методическими в экспериментальном обучении грамматическому строю речи иностранных студентов-филологов.
* ГЛАВА 3. Пути формирования и развития грамматического строя русской речи иностранных студентов-филологов в процессе личностно ориентированного обучения русскому языку.
* 1. Методы и приемы экспериментального обучения грамматическому строю русской речи иностранных студентов-филологов.
* 2. Система упражнений экспериментального обучения.
* 3. Проверка эффективности экспериментальной методики обучения грамматическим основам правильной русской речи иностранных студентов-филологов.
* ВЫВОДЫ
[ext[ссылка|https://cyberleninka.ru/article/n/formirovanie-kommunikativnogo-imidzha-buduschego-inzhenera-sredstvami-yazykovoy-podgotovki]]
*[[Идиолект]]
*[[Идиолексикон]]
ИДИОЛЕКСИКОН - совокупность всей используемой индивидом лексики.
[[Башкова И.В.]] стр. 22
ИДИОЛЕКТ – это реализация языка в текстах, созданных языковой личностью
[[Башкова И.В.]] стр. 22
ИДИОЛЕКТ^^1^^[<др.-греч. ιδίος особый, своеобразный + диалект]. Совокупность особенностей, характеризующих речь индивида.
ИДИОЛЕКТ^^2^^. //В социолингвистике//: 1. Совокупность фонетических, грамматических, лексических, стилистических особенностей речи носителя языка. 2. Реализация в речи индивидуума различных вариантов языка: территориальных и социальных диалектов, гендерных.
[[Жеребило Т.В.]]
* [[Языковая личность как носитель языкового сознания]]
*[ext[ссылка html|https://ru.texthandler.com/text-tools/letter-case-converter/]]
Иностранный язык и становление профессиональной личности (неязыковой вуз): Монография / Л. В. Яроцкая. - М.: Изд-во ТРИУМФ, 2016. - 258 с.
[ext[ссылка|https://docviewer.yandex.ru/view/44297129/?*=VSDf6jI1JJvY5bAqhvBwgwkDTeV7InVybCI6InlhLWRpc2s6Ly8vZGlzay9CSS85NzgtNS04OTM5Mi03MjEtNC5wZGYiLCJ0aXRsZSI6Ijk3OC01LTg5MzkyLTcyMS00LnBkZiIsIm5vaWZyYW1lIjpmYWxzZSwidWlkIjoiNDQyOTcxMjkiLCJ0cyI6MTU4MjIwODg5Mjc0MCwieXUiOiI2Mzg2MTM2NTcxNTY5OTkyMzI0In0%3D]]
1. 1.4.1. Концептуальные основы лингводндактической модели становления профессиональной личности
2. Как известно, формирование профессионального сознания специалиста подразумевает освоение личностью предметно-специализированного способа отражения
действительности. Этот тип отражения складывается в результате овладения сиотемой предметно-специализированных способов деятельности и становления системы профессионально-личностных установок. При этом готовность личности сделать «специальность» своей «профессией» обеспечивается сформированностью именно мотивационно-личностного аспекта профессиональной деятельности, при наличии осознанного ценностно-смыслового отношения к осваиваемой деятельности и ее ключевым задачам, обеспечивающего самореализацию личности в ходе осуществления этой деятельности (Нечаев Н. Н., 2005). Закономерный характер установленных психологами связей в процессах развития профессионального сознания индивида и актуальность их учета при разработке лингводидактических инструментов развития современной профессиональной личности подтверждается выводами, сделанными в рамках предметной области философии образования в отношении релевантных направлений приложения образовательных усилий вузов в условиях глобализации. Несмотря на то что выводы философов сформулированы в терминах «должного», зафиксированные в них основные направления педагогической деятельности, очевидно, являются объективно
# [[yalv_iya_i_spl_s24_5]]
# [[yalv_iya_i_spl_s24_6]]
1. обоснованными и потому заслуживают внимания дидактов, а также тщательной лингводндактической и методической проработки.
2. Речь идет о том, что при реализации «инновационного обучения в интернационализированной образовательной среде» основные усилия учреждений высшего образования должны быть направлены на то, чтобы, во первых, воспитать у будущего специалиста способность к предвидению, предвосхищению событий, сориентировать его на сознательный выбор альтернатив и, во-вторых, научить студента сознательно следовать принципу «соучастия». Достижение первой цели, как показал анализ научных источников, связано с такой организацией процесса обучения, при которой акцент переносится на творчество, а не на опыт, полученный индивидом в ходе его предшествующего развития. Подобное обучение состоит в приобретении умений применения новых методологических приемов, навыков, установок, ценностей, необходимых, чтобы жить в современном быстроменяющемся глобализированном мире. Реализация второй цели предполагает участие индивидов (как и целых обществ) в процессе принятия важных решений на всех уровнях - от локального до глобального; оно, очевидно, связано с вовлечением студента в процессы принятия ответственных решений (Леонтьева Е. Г., 2002).
3. Выводы философов и психологов дают нам основание рассматривать творчество студента, опыт принятия им ответственных решений, сознательного выбора траектории профессионального развития, являющихся важнейшими рычагами формирования профессионального сознания современного специалиста, в качестве ключевых условий проектируемой лингводндактической модели профессионального становления личности, требующих разработки адекватной инструментальной базы. Что касается содержательного компонента модели, то его проектирование, с нашей точки зрения, предполагает прежде всего выявление необходимого характера связей между процессами формирования профессионального сознания современного специалиста неязыкового профиля и освоением содержания предмета «иностранный язык».
4. Поскольку осознание любого предметного содержания осуществляется посредством языка, то, несмотря на определенную автономность, языковая и концептуальная картины мира демонстрируют тесные взаимные связи. Тезаурус I, восходящий к ассоциативно-вербальной сети языка и образующий языковую картину мира, формируется под воздействием Тезауруса II, который, в свою очередь, создавая концептуальную, или глобальную, картину мира, опирается на объективируемый в слове Тезаурус I (Халеева И. И., 1989). Следовательно, профессиональная картина мира как неотъемлемая часть общественного сознания представителей определенного лингвосоциума, несмотря на наличие в ее составе некоторого общего для профессионалов из разных лингвосоциумов компонента, не может не отражать специфику социокультурного развития конкретной лингвокультурной общности (особенно в гуманитарных областях). В качестве иллюстрации данной мысли достаточно вспомнить очевидные/
# [[yalv_iya_i_spl_s25_1]]
# [[yalv_iya_i_spl_s25_2]]
# [[yalv_iya_i_spl_s25_3]]
# [[yalv_iya_i_spl_s25_4]]
1. социокультурные детерминанты в формировании профессиональных картин мира таких различных предметно-
специализированных областей человеческой деятельности, как юриспруденция, психология, документоведение, политология или даже медицина. На этом основании представляется целесообразным выделить культурно-специфический компонент профессиональной деятельности как необходимый объект освоения современным специалистом нелингвистического профиля - потенциальным (или реальным) участником межкультурного иноязычного профессионального общения. Поскольку «концептуальная» и «языковая» картины мира тесно связаны между собой, то освоение «вторичной» профессиональной картины мира неизбежно замыкается на освоении «вторичного» языкового сознания, требуя освоения культурно специфической системы языковых значений.
2 Следовательно, предметно-специализированное изучение соответствующего ИЯ является естественным, логичным и целесообразным способом формирования «вторичного» когнитивного основания профессиональной личности - существенного момента профессионально ориентированной подготовки специалиста неязыкового профиля к деятельности в условиях мультикультурных профессиональных сообществ, реализующихся как специфические интеркультуры XXI в. Кроме того, это означает, что в условиях глобализации предметно-специализированное освоение ИЯ имеет смысл лишь в том случае, если предусматривается не просто изучение нового «языкового кода» (что, как известно, отнюдь не обеспечивает
взаимопонимания партнеров по коммуникации), а формирование «вторичного» лингвокогнитивного основания профессионального общения - важного условия взаимопонимания партнеров по межкультурной коммуникации.
3. Акцентируемая психологами важность мотивационно-личностного аспекта в структуре профессионального сознания специалиста побуждает нас обратить особое внимание на сферу деятельностно-коммуникативных потребностей личности, обусловленных, как отмечает Ю. Н. Караулов, всей парадигмой социально- деятельностного поведения личности, охватывающей ее цели, мотивы, установки, интенциональности (Караулов Ю. Н, 1987). Между тем, в современной практике обучения ИЯ, опирающейся преимущественно на структурные модели формирования (межкультурной) иноязычной профессиональной коммуникативной компетенции, основные усилия участников учебного процесса уходят на формирование вербально семантического уровня «вторичной» языковой личности. При этом когнитивный уровень нередко не получает достаточного развития, а до мотивационного (прагматического) уровня «вторичной» языковой профессиональной личности дело, как правило, вообще не доходит. Исключения (Хомякова Н. П., 2011; Пригожина К. Б., 2012), на наш взгляд, лишь подтверждают правило: «вторичная» система целей, мотивов, установок, интенциональностей типичного инофонного представителя осваиваемой профессии остается за рамками планируемого к освоению
# [[yalv_iya_i_spl_s26_1]]
# [[yalv_iya_i_spl_s26_2]]
#[[yalv_iya_i_spl_s26_3]]
1. Продолжение содержания обучения. Мы полагаем, что включение данного уровня в систему релевантных структур профессионального сознания «собирает» этот образ сознания, делает его целостным, выявляя тем самым актуальность концепта «вторичная языковая личность» для формирования профессионального сознания неязыкового специалиста в условиях глобализации и обусловливая принятие этого концепта в качестве методологического основания разрабатываемого понятия «интернационализация профессиональной подготовки специалиста».
2. Действительно, деятельностно-коммуникативные потребности обнаруживают взаимосвязи со всеми уровнями развития языковой личности (Гальскова Н. Д., 2004). Так, потребности, направленные на установление и развитие контактов между людьми и реализуемые в обыденном употреблении языка, удовлетворяются вербально- семантическим, или нулевым, уровнем развития языковой личности. Потребности, связанные с обменом информацией и обеспечением взаимодействия партнеров по общению, «обслуживаются» тезаурусом личности - первым уровнем, на котором, как замечает И И Халеева (Халеева И. И., 1989), оказывается возможным индивидуальный выбор личности. Профессиональное общение представителей разных культур актуализирует на этом уровне опосредованную спецификой предметной области культурно специфичную систему знаний о мире, формирующую профессиональный образ мира. Третья группа потребностей направлена на восприятие и понимание партнеров по общению - системы целей, мотивов, установок, интенциональностей, образующих прагматикон личности. На данном уровне языковая личность, по существу, сливается с социальной (Караулов Ю. Н., 1987). В случае профессиональной подготовки речь идет о формировании в сознании личности «вторичной» системы целей, мотивов, установок, интенциональностей типичного представителя данной профессии в среде бытования осваиваемого языка.
3. Поскольку область «вторичных» деятельностно-коммуникативных потребностей специалиста и мотивационно-личностный аспект профессионального сознания имеют общую природу, представляется возможным консолидировать процессы становления данных аспектов в рамках лингводидактической модели становления профессиональной личности как инструмента интернационализации профессиональной подготовки специалиста. Более того, так как указанные аспекты связаны с актуализацией смыслообразующих мотивов личности, за основу стратегии формирования профессиональной компетенции современного специалиста средствами предмета «иностранный язык» целесообразно принять опережающее развитие именно мотивационно-личностного аспекта профессионального сознания. При этом «вторичное» лингвокогнитивное основание межкультурного иноязычного профессионального общения должно осваиваться будущим специалистом как реализация осознанной им личностной потребности в профессиональном развитии.
# [[yalv_iya_i_spl_s27_1]]
# [[yalv_iya_i_spl_s27_2]]
#[[yalv_iya_i_spl_s27_3]]
---
#{{yalv_iya_i_spl_s28_1}}
#{{yalv_iya_i_spl_s28_2}}
#{{yalv_iya_i_spl_s28_3}}
#{{yalv_iya_i_spl_s28_4}}
---
#[[yalv_iya_i_spl_s28_1]]
#[[yalv_iya_i_spl_s28_2]]
#[[yalv_iya_i_spl_s28_3]]
#[[yalv_iya_i_spl_s28_4]]
#[[yalv_iya_i_spl_s28_5]]
---
#[[yalv_iya_i_spl_str24]]
# [[yalv_iya_i_spl_str25]]
#[[yalv_iya_i_spl_str26]]
#[[yalv_iya_i_spl_str27]]
#[[yalv_iya_i_spl_str28]]
* [ext[ссылка ya без рекламы и новостей|https://ya.ru]]
* [[По Ngram_Viewer]]
* [ext[ Google Books Ngram Viewer|https://books.google.com/ngrams#]]
* [ext[Google Trends|https://trends.google.ru/trends/?geo=RU]]
* [ext[wordstat.yandex.ru|https://wordstat.yandex.ru/]]
* [ext[Изменение регистра в html|https://ru.texthandler.com/text-tools/letter-case-converter/]]
* [[AntConc]]
Одной из особенностей коммуникативно-направленного профессионального обучения иностранному языку является соединение лингвистической компетенции (''усвоение языковых норм'') и общения (''интерактивной компетенции'') как основного вида деятельности в модели обучения "человек - человек".
[ext[ссылка|http://elib.altstu.ru/journals/Files/pa1998_1/pages/12/pap_12.html]]
Башмаков М.И., Поздняков С.Н., Резник Н.А.
Информационная среда обучения. - Спб.: СВЕТ, 1997. - 400 с: ил.
ISBN 5-88729-035-8 [ext[ссылка|file:///D:/BI/5-88729-035-8.pdf]]
* [ext[слайды языковая личность|https://ppt-online.org/489713]]
* [[Каталог]]
* [[Из книг]]
* [ext[Общая антропоцентрическая лингвистика|https://infopedia.su/18x85b0.html]]
* [ext[ссылка Языковое сознание|https://iling-ran.ru/library/psylingva/sborniki/]]
* [ext[ссылка словарь значений слов русского языка|https://znachenie-slova.ru/]]
* [ext[ссылка СИБАС|http://adictru.nsu.ru/about]]
*Горина Ольга Григорьевна Использование технологий корпусной лингвистики для развития лексических навыков студентов - регионоведов в профессионально - ориентированном общении на английском языке.
*Диссертация [ext[ссылка|https://docplayer.ru/48704526-Moskovskiy-gosudarstvennyy-universitet-im-m-v-lomonosova-gorina-olga-grigorevna-na-pravah-rukopisi.html]]
* Автореферат [ext[ссылка|http://www.philol.msu.ru/~ref/2014/2014_GorinaOG_avtoreferat_13.00.02_79.pdf]]
[[Термины]]
| [[Ка]] | [[Кв]] | [[Ке]] | [[Ки]] | [[Кл]] | [[Ко]] | [[Кр]] | [[Ку]] |
{{Ко}}
<html>
<head>
<style>
.primer1{
text-transform: capitalize;
font-size: 14px;
}
</style>
</head>
<body>
<div class="primer1">@@color:red; Каждое слово начинается с большой буквы @@</div>
</body>
</html>
[ext[ссылка|http://2019.bashedu.ru/sites/default/files/dissovets_files/disrab/dissertaciya_kazancevoy_e.a..pdf]]
*[ext[ссылка|https://yandex.ru/video/preview?filmId=10367312672671188924&text=%D1%83%D1%81%D1%82%D0%B0%D0%BD%D0%BE%D0%B2%D0%B8%D1%82%D1%8C%20pyinstaller%20%D0%B2%D1%80%D1%83%D1%87%D0%BD%D1%83%D1%8E&path=wizard&parent-reqid=1593078494297358-1804170708288854708100267-production-app-host-vla-web-yp-112&redircnt=1593081734.1]]
*Питон на колесах [ext[ссылка|https://habr.com/ru/post/210450/]]
*[ext[ссылка граф интерфейс|https://ru.stackoverflow.com/questions/860333/%d0%9a%d0%b0%d0%ba-%d1%81%d0%ba%d0%be%d0%bd%d0%b2%d0%b5%d1%80%d1%82%d0%b8%d1%80%d0%be%d0%b2%d0%b0%d1%82%d1%8c-py-%d0%b2-exe-%d1%81-%d0%bf%d0%be%d0%bc%d0%be%d1%89%d1%8c%d1%8e-pyinstaller]]
*[ext[ссылка 1|https://yandex.ru/efir?stream_id=47f7b661c1898cb8b737a2fe8ac32195]]
*[ext[ссылка 2|https://yandex.ru/efir?stream_id=4a92df57c630e1fca8cb14baf59d0f6c]]
т.л. калентьева
[ext[ссылка|https://docplayer.ru/32767329-T-l-kalenteva-accociativnyy-eksperiment-i-metodologiya-etnopsiholingvisticheskih-issledovaniy.html]]
Калинкин Андрей Александрович ТЕОРЕТИКО-МЕТОДОЛОГИЧЕСКИЕ АСПЕКТЫ ДИСКУРСИВНОГО КОНСТРУИРОВАНИЯ СОЦИАЛЬНОЙ РЕАЛЬНОСТИ КИБЕРПРОСТРАНСТВА
Языковая личность - субъект конструирования социальной реальности
[ext[ссылка|https://www.sgu.ru/sites/default/files/dissertation/2018/06/21/dissertaciya.pdf]]
[ext[ссылка|https://docplayer.ru/28188986-Yazykovoy-krug-lichnost-koncepty-diskurs.html]]
* [[Русский язык и языковая личность]]
* [[Лингвокультурное сознание русской языковой личности]]
!! ''стр. 29''
Современная лингводидактика, как мне представляется, далеко продвинулась в понимании и разработке структуры и содержания "языковой личности". Последняя предстает как многослойный и многокомпонентный набор языковых способностей, умений, готовностей к осуществлению речевых поступков разной степени сложности, поступков, которые классифицируются, с одной стороны, по видам речевой деятельности (имеются в виду говорение, аудирование, письмо и чтение), а с другой стороны — по уровням языка, т.е. фонетике, грамматике и лексик.
!! ''стр. 36''
Коль скоро объектом анализа становится языковая личность, интеллектуальные ее характеристики выдвигаются на первый план. Интеллект наиболее интенсивно проявляется в языке и исследуется через язык. Но интеллектуальные свойства человека отчетливо наблюдаемы не на всяком уровне владения языком и использования языка. На уровне ординарной языковой семантики, на уровне смысловых связей слов, их сочетаний и лексико-семантических отношений еще нет возможностей для проявления индивидуальности. В крайнем случае на этом уровне мы можем констатировать нестандартность, неповторимость вербальных ассоциаций, которые сами по себе еще не дают сведений о языковой личности, о более сложных уровнях ее организации. Общение на уровне "как пройти", "где достали" и "работает ли почта", так же как умение правильно выбрать вариант — "туристский или туристический" — не относится к компетенции языковой личности. '' Этот уровень исследования языка — нулевой для личности и в известном смысле бессодержательный, хотя совершенно ясно, что он составляет необходимую предпосылку ее становления и функционирования''. Он попадает в поле зрения исследователя личности только в том случае, если речь идет о втором для нее языке. Между тем этот ординарно-семантический уровень, уровень нейтрализации языковой личности составляет главный объект изучения и теории речевых актов, и теории разговорной речи, и трансформационной теории, и многих иных теорий, которые оказываются равнодушными к содержанию анализируемых и синтезируемых в их рамках речевых произведений, содержанию, выходящему за пределы контекстной семантики, содержанию надтекстовому и затекстовому. ''Следовательно, языковая личность начинается по ту сторону обыденного языка, когда в игру вступают интеллектуальные силы, и первый уровень (после нулевого) ее изучения — выявление, установление иерархии смыслов и ценностей в ее картине мира, в ее тезаурусе''
!! ''стр.38''
Для рассматриваемого в данной работе предмета понятие общерусского языкового типа используется как гипотетическая предпосылка наличия инвариантной части в структуре языковой личности на ''нулевом уровне ее изучения''. Эта инвариантная часть обеспечивает как возможность взаимопонимания носителей разных диалектов, так и возможность понимания русской языковой личностью текстов, отстоящих от времени ее жизни и функционирования на значительную глубину. Что касается вычленения аналогичных частей на высшем — мотивационном уровне языковой личности, то здесь дело обстоит несколько сложнее. Инвариантом здесь надо считать представления о смысле бытия, цели жизни человечества и человека как вида гомо сапиенс, тогда как переменную часть составят индивидуальные мотивы и цели. На этом уровне языковая личность как объект исследования сливается с личностью в самом общем, глобальном социально-психологическом смысле, что закономерно, поскольку по определению языковая личность есть личность, выраженная в языке (текстах) и через язык, есть личность, реконструированная в основных своих чертах на базе языковых средств
!!'' стр. 39''
... существуя и развиваясь в актуальном времени (изменчивая часть), личность, идентичная сама себе, предстает как вневременная сущность (стабильная ее часть).
Этот парадокс личности вообще своеобразно преломляется в структуре языковой личности, которая на каждом уровне своей организации соответственно имеет и вневременные и временные, изменчивые, развивающиеся образования, и сочетание этих феноменов и создает наполнение соответствующего уровня. К вневременным образованиям, из тех, что подлежат ведению лингвистики и ''поддаются исследованию лингвистическими методами'', следует отнести общенациональный — общерусский — языковой тип и стандартную, устойчивую часть вербально-семантических ассоциаций —для нулевого, семантического уровня организации языковой личности. На следующем, лингво-когнитивном уровне это будет базовая, инвариантная часть картины мира, и на высшем, мотивационном уровне наблюдаемыми и анализируемыми с помощью лингвистических методик оказываются, естественно, не цели и мотивы, а порождаемые ими устойчивые коммуникативные потребности и коммуникативные черты или готовности, способные удовлетворять эти потребности, типологизирующие специфику речевого поведения и в конечном счете — информирующие о внутренних установках, целях и мотивах личности. Временные, изменчивые феномены на каждом уровне тоже градуируются по степени общности в зависимости от того, распространяются ли они, кроме личности, на все социальное сообщество или на более узкий речевой коллектив, или относятся к определенным этапам становления только данной языковой индивидуальности, и определяются конкретными ролями — психологическими, физиологическими, социальными, латентными и явными, — которые она исполняет.
!! ''стр. 59''
Чтобы сделать рассматриваемую нами "целевую" модель языковой личности несколько компактнее, упорядоченнее и нагляднее, будем для простоты всякий вид языковой способности называть Готовностью" (например, Готовность к рецепции терминологической лексики в области химии кристаллов"), не проводя дифференциации между умением, навыком или компетенцией.
!! ''стр. 60 - 62''
''ВЕРБАЛЬНО-СЕМАНТИЧЕСКИЙ (НУЛЕВОЙ) УРОВЕНЬ''
А-1 (ЕДИНИЦЫ )
— готовность к номинациям (это по сути дела основа семиотической деятельности, опирающаяся на принципиальную возможность ассоциации слова, звукового комплекса с предметом)
— готовность к рецепции лексики
— готовность осуществлять выбор слов
— владение специальной терминологией определенной области знаний
— готовность использовать инонациональную лексику
А 2 (РЕГИСТРИРУЮЩАЯ СТРУКТУРА - ВЕРБАЛЬНАЯ СЕТЬ)
— готовность к рецепции грамматических структур
— готовность к устной речи
— каллиграфические готовности
— владение нормами орфографии
— готовность к письменной речи
— готовность понимать и воспроизводить в речи значительное богатство средств выражения
А-3 {СТЕРЕОТИПЫ — МАНИФЕСТАЦИИ РЕГИСТРИРУЮЩИХ СТРУКТУР)
— качество чтения
— готовность производить и воспринимать тексты повседневного использования (т.е. владение "обыденным языком")
— готовность к монологическому выступлению
— владение темпом спонтанной речи
''ТЕЗАУРУСНЫЙ (ПЕРВЫЙ) УРОВЕНЬ''
Б-1 (ПОНЯТИЯ)
— готовность дать определение используемым понятиям
— готовность отыскивать, извлекать, понимать и перерабатывать необходимую информацию в текстах (с опорой на ключевые слова, дескрипторы, понятия)
— готовность использовать иностранные понятия — для сопоставления или некритически
Б-2 (РЕГИСТРИРУЮЩАЯ СТРУКТУРА — ТЕЗАУРУС)
— готовность придавать высказыванию модальную окрашенность
— готовность к развертыванию аргументации
— готовность к соединению реплик в диалоге при их нетавтологичности
— готовность к импровизации речи
Б-З (СТЕРЕОТИПЫ - ПРАВИЛА)
— готовность пользоваться внутренней речью
— готовность к информирующей и оценочной передаче содержания чужой речи
— готовность рефлектировать по поводу фактов родного языка (языковое сознание, проявляющееся в оценке плана выражения своей и чужой речи)
— готовность создавать и использовать универсальные (генерализованные) высказывания
''МОТИВАЦИОННО-ПРАГМАТИЧЕСКИЙ (ВТОРОЙ) УРОВЕНЬ''
В-1 (ДЕЯТЕЛЬНОСТНО - КОММУНИКАТИВНЫЕ ПОТРЕБНОСТИ)
— готовность учитывать в общении "фактор адресата", его пресуппозицию, т.е. степень осведомленности
— готовность производить рациональное размещение элементов высказывания во времени
— готовность управлять общением
— готовность целенаправленно строить высказывания, достигающие заданного эффекта, т.е. обладающие необходимой мерой воздейственности
В-2 (РЕГИСТРИРУЮЩАЯ СТРУКТУРА — КОММУНИКАТИВНАЯ СЕТЬ:СФЕРЫ. СИ ТУАЦИ И . РОЛИ)
— готовность оперировать подъязыком разговорной речи
— готовность пользоваться различными конкретными подъязыками и регистрами, т.е. умение с каждым говорить на его языке
— готовность использовать стилистические средства того или иного подъязыка
— и в рецептивной и в продуктивной деятельности
— готовность различать деловую и художественную прозу при продуцировании письменного текста
— готовность убедительно высказаться на родном языке публично
— готовность соотносить интенции, мотивы, запрограммированные смыслы со способами их объективации в тексте
— в рецептивной и продуктивной деятельности
В-З (СТЕРЕОТИПЫ — ОБРАЗЫ ПРЕЦЕДЕНТНЫХ ТЕКСТОВ)
— готовность читать медленно, связанная со способностью воспринимать художественные тексты
— готовность эстетического анализа текста
— готовность к прогнозированию сюжетных ходов художественного текста
— готовность оперировать прецедентными текстами художественной культуры
— готовность оперировать видами словесности
— готовность к художественной критике
— готовность отличать художественную литературу от "чтива" готовность чувствовать банальность рифмы
— готовность продуктивно пользоваться тропами готовность верифицировать
— готовность к использованию "крылатых слов"
— готовность к оперированию национальным (Скалозуб, Ляпкин- Тяпкин, Обломов, г. Глупов) и интернациональным образным оно- мастиконом (Меценат, Росинант, Ватерлоо и т.п.)
!! ''стр. 89''
В связи с изучением структуры индивидуального лексикона на материале ассоциативных полей русского языка мною было выдвинуто предположение о полной или почти полной лексикализации грамматики в лексиконе. Гипотеза получила частичное подтверждение в приведенном Н.Л. Чулкиной анализе лексикализованных явлений в "Словаре ассоциативных норм русского языка"3. Для верификации гипотезы в сильном ее варианте необходим более обширный материал, который может быть получен по завершении работы над "Ассоциативным тезаурусом русского языка", моделирующим всю ассоциативно-вербальную сеть среднего носителя языка.
Теперь пришло время сделать отступление от обсуждения вопросов структуры собственно лексикона и поговорить о правомерности и целесообразности введения новых и непривычных терминов, таких, как грамматикон и прагматикон. Думается, что использование их может быть оправданным по следующим соображениям. С точки зрения представлений о поуровневой структуре языковой личности (см. схему I), термин прагматикой полностью покрывает высший уровень этой структуры — мотивационный, и одновременно, благодаря своей внутренней форме, включает представление о системной организации составляющих его единиц, отношений и стереотипов (т.е. образцов соединения единиц с помощью типовых отношений). Кроме того, по своей морфемной структуре оба термина хорошо согласуются с термином "лексикон", выполняющим аналогичную роль для первого — ассоциативно-семантического или лексико-грамматического уровня.
!! ''стр. 91''
[img[караулов_схема2.png]]
!! ''стр. 92''
Что касается вербализованной части прагматикона, то его составляют91
стереотипы текстовых преобразований, или способы представления и оперирования прецедентными текстами данной культуры (см. ниже). Но совсем парадоксальной, вероятно, выглядит невербализованная часть собственно лексикона. Тем не менее, здесь нет никакого нонсенса: в лексиконе говорящего невербализованную часть образуют его пассивный словарь, а также лакуны и "пустые клетки", которые выявляются в речевых ошибках и оговорках. Единицы пассивного словаря могут активизироваться и выходить в сферу сознания
!! ''стр. 96''
Из этих рассуждений следуют по меньшей мере два вывода. Во- первых, лексикон сам по себе играет вспомогательную роль в воссоздании особенностей той или иной языковой личности. Представленный в виде инвентаря использованных персонажем единиц, он мало что дает для ее характеристики, хотя кое-что безусловно позволяет прояснить. Например, с большой долей уверенности можно предположить, что один и тот же лексикон принципиально не может обслуживать разные тезаурусы. Проверка этого предположения сделана ниже. Поэтому более эффективным представляется исследование лексикона в его функционировании, т.е. рассмотрение его в связи со всем дискурсом данной языковой личности (см. след, раздел).
!! ''стр. 98''
Возьмем в качестве примера случайным образом выбранную анкету N 1183. Слева напечатан стимул, справа — реакция; нумерация пар, которая в анкете отсутствует, дана здесь для удобства комментирования; большими буквами обозначена зона на схеме 2, к которой относится связь в соответствующей паре: С — семантикой, Г — грамматикой, Т — тематическая область, или типовая ситуация (тезаурус), П — прагматикой; если символов несколько, то первым стоит символ, обозначающий наиболее сильную, наиболее вероятную связь в паре.
[img[караулов_анкета1.png]]
[img[караулов_анкета1б.png]]
Таким образом, если считать, что в анкете представлен вербализованный фрагмент лексикона (а у нас, согласно развиваемым здесь идеям, есть все основания так считать), то отнесение каждой из пар к определенной сфере в структуре языковой личности как раз и показывает пересечение лексикона с этой сферой или сферами. В силу индивидуальных особенностей данного испытуемого (муж., 21 год, биолог) почти все его реакции равномерно распределяются между семантиконом (41) и грамматиконом (48), хотя такое распределение, может быть, и не вполне типично. А если учесть, что во всех без исключения случаях единичная помета С в приведенной анкете с неизбежностью предполагает и наличие в данной паре, кроме семантического, еще и грамматического отношения, т.е. требует включения ее также и в грамматикой13, то характеристика заполнявшего анкету будет вполне определенной: в его лексиконе преобладают не семантико-парадигматические (тезаурусные) связи, а грамматико-синтаксические и ситуативно-тематические связи, основанные на апеллировании к прецедентам, стереотипам употребления, а не к системе. Таким образом, тезаурус данного испытуемого (см. схему 2) не вполне сформирован и слабо выражен в его лексиконе, а последний — в сильной степени грамматикализован.
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
[ext[ссылка|https://elib.pstu.ru/vufind/EDS/Search?lookfor=%D1%8F%D0%B7%D1%8B%D0%BA%D0%BE%D0%B2%D0%B0%D1%8F+%D0%BF%D1%80%D0%BE%D1%84%D0%B5%D1%81%D1%81%D0%B8%D0%BE%D0%BD%D0%B0%D0%BB%D1%8C%D0%BD%D0%B0%D1%8F+%D0%BB%D0%B8%D1%87%D0%BD%D0%BE%D1%81%D1%82%D1%8C&type=SU&filter%5B%5D=EXPAND%3A%22fulltext%22&dfApplied=1]]
''КАФТАНОВ Роман Анатольевич. Опыт построения ассоциативно-вербальной модели профессиональной идентификации военных (экспериментальное психолингвистическое исследование)''
!!!Ссылки интернет
* [ext[ссылка КАФТАНОВ ар|http://research.sfu-kras.ru/node/13686]]
*[ext[ссылка диссерт |http://research.sfu-kras.ru/sites/research.sfu-kras.ru/files/Dissertaciya_Kaftanov.pdf]]
*[ext[ссылка автореф|http://research.sfu-kras.ru/sites/research.sfu-kras.ru/files/Avtoreferat_Kaftanov.pdf]]
[[Оглавление|ОглавлениеКафтанов]]
[[ссылка на статью1|Кафтановссылка на статью1]]
''Анализ профессиональной идентичности курсантов военного вуза с помощью ассоциативно-вербальной сети''
[ext[ссылка на статью1|https://docviewer.yandex.ru/view/0/?page=1&*=exSMOIC%2FLA%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&lang=ru]]
[ext[ссылка|https://new-disser.ru/_avtoreferats/01003305426.pdf]]
КАЩЕЕВА АННА ВЛАДИМИРОВНА
*[[Кластерный метод в анализе учебных письменных текстов]]
*[[Квантитативные и качественные методы исследования в прикладной лингвистике]]
[ext[ссылка|https://cyberleninka.ru/article/n/kvantitativnye-i-kachestvennye-metody-issledovaniya-v-prikladnoy-lingvistike]]
СОВРЕМЕННАЯ ЛИНГВИСТИКА И ЛИТЕРАТУРОВЕДЕНИЕ
КВАНТИТАТИВНЫЕ И КАЧЕСТВЕННЫЕ МЕТОДЫ ИССЛЕДОВАНИЯ
В ПРИКЛАДНОЙ ЛИНГВИСТИКЕ
А. В. КАЩЕЕВА
В статье рассматриваются понятие квантитативных методов, различия между квантитативными и качественными методами, виды квантитативных методов и их применение в лингвистике, а также предлагаются пути использования квантитативных методов в методике преподавания иностранных языков.
Ключевые слова: качественные и количественные методы, дискурс, многофакторный анализ.
История возникновения квантитативных методов в науке относится к началу XX в., когда естественнонаучные и социальные исследования прибегали к количественным подсчетам. К середине XX в. наблюдалось преобладание статистических методов над другими способами количественной обработки данных, хотя все методы назывались количественными. Постепенно квантитативные методы в науке нашли свою нишу, и в настоящее время достаточно большое количество исследователей видят принципиальную разницу между качественными и квантитативными (количественными) методами.
Квантитативными называют статистические методы, такие, например, как дисперсионный анализ и нормальное распределение, кластерный и факторный анализ, регрессионно-корреляционный анализ. Отличительной особенностью квантитативных методов является то, что сбор данных происходит еще до начала процедуры самого исследования. В исследуемом явлении выделяются параметры, подлежащие измерению, которые называются переменными. При этом исследователь не может с точностью определить степень важности той или иной переменной для исследуемого явления. Возможно после использования квантитативного метода в ходе анализа выяснится, что одна или несколько переменных не влияют совсем или влияют в малой степени на общую характеристику исследуемого объекта, а другие являются определяющими. Все полученные в ходе сбора данных количественные показатели оформляются в виде матрицы, которая затем исследуется с помощью одного или нескольких статистических методов. По результатам статистических ис-
следований проводится интерпретационный анализ полученных данных.
Поскольку любое исследование направлено на изучение содержания объекта и его внутренней структуры, то понятно в этой связи образное определение, данное Золтаном Дерньеи [2]. Автор называет квантитативные методы «смыслом в цифрах» (meaning in numbers), подразумевая, что качественные характеристики объекта имеют цифровое выражение не только в единичном ряду, но и во взаимосвязи.
Существуют определенные различия между квантитативными и качественными методами (quantitative vs. qualitative) [2]. Качественные исследования в большей степени подразумевают сбор данных, результатом которого являются нецифровые результаты и анализ с помощью нестатистических методов. К ним можно отнести исследования изображений, письменных текстов или записей устных текстов, в ходе которых исследователь пытается выявить единый общий смысл. В лингвистике примерами качественных методов могут служить конверсационный и этнографический анализ.
Квантитативные методы означают работу с матрицей цифровых данных, анализируемую с помощью статистических законов. Объектом исследования также может являться текст, однако в числовом выражении данные квантитативного анализа однозначны, а интерпретировать результаты можно только с точки зрения обозримых закономерностей.
Тем не менее, есть мнение о том, что оба подхода есть не что иное, как разные способы сбора данных [5]. Другое видение заключается в том,
что различают квантитативные и качественные и смешанные методы. Последние означают использование обоих подходов на разных стадиях исследования: стадии сбора данных и стадии анализа.
Различая два подхода, можно назвать следующие особенности их проявления в исследовательской парадигме [2].
Относительно категоризации квантитативный подход означает предопределенную систему категорий в цифровом выражении, в то время как качественный допускает подвижные вербальные категории.
Если говорить об учете индивидуальных проявлений исследуемых объектов, то справедливо утверждать, что для этого больше подходят качественные методы, потому что квантитативные в большей степени описывают стандартизованные образцы и средние величины.
Помимо этого, стоит учитывать, на что опирается исследователь, прибегая к тому или иному подходу. Используя квантитативные методы, он опирается на формализованную систему статистики и математических формул. Качественный подход в большей степени задействует природную интуицию исследователя [2]. Очевидно, что система, лежащая в основе каждого из подходов, свидетельствует в пользу большей объективности данных, полученных путем использования квантитативных методов.
Итак, суммируя характеристики квантитативных методов исследования, можно перечислить следующие:
- использование числовых данных (матрицы значений, математические формулы, лежащие в основе статистических процедур);
- использование стандартизованных процедур обработки данных (статистика);
- выделение переменных или категорий исследуемых характеристик объекта до стадии исследования;
- оперирование усредненными показателями для обозначения переменных, практическое игнорирование индивидуальных показателей с крайним значением;
- обобщение на стадии анализа и стремление к выявлению универсальных закономерностей.
На наш взгляд, основным преимуществом квантитативных методов является их точность и однозначность результатов. Точность измерений с большой долей вероятности позволяет подтверждать или опровергать выдвигаемые гипотезы. Этот метод систематичен и легко контролируем, поскольку математический аппарат уже содержится в статистической программе. Кроме того,
процесс подсчета достаточно экономичен по сравнению с подготовкой матрицы, он чаще всего выполнятся на компьютере с помощью пакета 81ай8йса [1]. Эти преимущества значительно расширяют границы использования квантитативных методов.
В то же время, выбор переменных и подсчет значений каждой переменной может занять достаточный промежуток времени. Кроме того, в ряде областей исследования как, например, в лингвистике, полученные данные могут вызвать у исследователя трудность интерпретации. Безусловно и то, что усреднение показателей внутри группы позволяет говорить, в первую очередь, о тенденциях, а не об индивидуальных проявлениях и разнообразии исследуемых явлений.
В настоящее время не существует единой схемы описания исследований, проводимых с помощью квантитативных методов, однако последовательность, представленная З. Дерньеи, кажется нам вполне логичной и универсальной по сравнению с другими видами исследований [2]. Она включает участников эксперимента, материалы или способы, процедуру и анализ данных.
Как правило, количество участников в исследованиях, проводимых с помощью квантитативных методов, достаточно большое. Различают массив и выборку данных. Под массивом подразумевают весь объем исследуемого явления, а выборкой называют ту часть, которая достаточна для получения репрезентативных результатов. Существует практика ограничения минимального количества участников или случаев. Для факторного анализа количество участников или случаев должно быть не менее 100, для корреляционного -не менее 30, а для простого сравнения достаточно и 15, но эти цифры являются относительными. Естественно, чем больше объем выборки, тем достовернее результаты анализа. Так, для исследования текста с помощью нейронных сетей необходимо иметь несколько сотен случаев.
Говоря об исследованиях в области прикладной лингвистики, стоит дополнительно обозначить следующие немаловажные факторы: уровень владения языком, образовательная программа или курс, академическая успеваемость участников, количество обучающихся в группе, время, проведенное в языковой среде.
К материалам относят тексты, анкеты, дидактические материалы. При использовании анкет важно учитывать, проводился ли пилотный опрос, был ли он анонимным, как он был модифицирован. Описание процедуры исследования - это условия проведения измерений, они перекликаются
i
Не можете найти то, что вам нужно? Попробуйте сервис подбора литературы.
с предыдущим пунктом. В лингвистических исследованиях важно указать, был ли использован перевод при проведении исследования.
Анализ данных является второй основной фазой исследования. Он позволяет сделать выводы о закономерностях и проблемных вопросах в отношении выдвигаемой гипотезы. Кроме того, он позволяет выделить те переменные, которые не были использованы или коррелируют в большей или меньшей степени с другими переменными.
Популярность квантитативных методов позволила со временем сформироваться направлению в лингвистике, называемому квантитативной лингвистикой (quantitative linguistics). Это одно из направлений прикладной лингвистики, которое занимается изучением языка с помощью статистических методов. Методы, известные в математической статистике, позволяют изучать законы и структуру языка и изменения в системе языка. Примером могут служить законы, по которым изменялся язык в процессе исторического развития или те, которые характеризуют современные тенденции в языке.
Выводы, полученные в результате статистических исследований, могут не только иметь описательный характер, но и оказывать влияние на существующие теории функционирования и развития языка. Конечной целью квантитативной лингвистики является формулирование законов, по которым функционирует язык с помощью математического аппарата. Квантитативная лингвистика чаще всего в настоящее время имеет прикладной характер, не соотнося свои выводы с фундаментальными научными исследованиями.
Методы квантитативной лингвистики применимы к разным системам языка: фонетической, орфографической, лексической и грамматической, однако чаще всего они используются в лексикологии для изучения качественного состава словаря и получении информации о частотности или правильности употребления слов.
Основным объектом, к которому применимы статистические методы, и в котором осуществляется выборка, является текст. Текст разбивается на несколько выборок, каждая длиной в n лингвистических элементов. Цели изучения текста с помощью статистики тоже бывают разными. Например, текст можно исследовать для дешифровки, извлечения информации, которая скрыта в силу того, что язык или письменность неизвестны, что характерно для древних рукописей. Статистика в этом случае помогает установить наиболее устойчивые сочетания языковых единиц и расшифровать языковой код.
Другой целью использования лингвистической статистики для изучения образцов текстов является установление авторства. В этом случае может возникнуть необходимость сравнения нескольких текстов для установления того, который из них принадлежит автору, или определения авторства для каждого из выбранных текстов.
Еще одним примером применения лингвистической статистики в тексте является исследование стилистических особенностей, которые использует автор текста, что можно сделать применительно и к лексике, и к грамматике.
Тем не менее, исследования текста и контекста могут затрагивать и более широкую выборку, такую как языковой корпус - электронную базу данных о случаях использования языка, позволяющую осуществлять выборку в большем массиве на основании разнообразия использования языковых единиц.
На основании закономерностей, выявленных с помощью квантитативных методов, были сформулированы некоторые законы, касающиеся величин и распределения языковых явлений. Законы диверсификации и распределения указывают на то, что частота появления и распределения определенных языковых форм (звуков, слов, слогов, предложений) подчинена законам статистики. В отношении лексики справедлив закон Мартина, согласно которому степень обобщения значения обратно пропорциональна количеству дефиниций слова. Другой закон (Менцерата-Альтмана) затрагивает структурный аспект, согласно ему длина общей конструкции (например, слова) обратно пропорциональна длине ее составляющих (слогов).
Поскольку текст является основным объектом квантитативных исследований в лингвистике, мы решили применить их к письменному дискурсу, продуктом которого является текст. Большинство современных исследований дискурса опираются на традиционные методы анализа, и поэтому правильнее говорить о необходимости применения смешанных методов в исследовании письменного дискурса.
Среди традиционных подходов в исследовании дискурса известны изучение дискурса как диалога или структурных знаний (Cook), изучение контекста, правил когерентности и когезии (Brown and Yule, Celce-Murcia), изучение взаимосвязи дискурс-анализа с преподаванием иностранных языков (McCarthy and Carter, Hatch) [3]. Это лишь некоторые из существующих концептуальных подходов к изучению дискурса, многие из которых подразумевают использование качественных методов на этапе анализа эксперимен-
тальных данных. Очевидно, что квантитативный подход в рамках существующих концепций дискурса является достаточно редким исследовательским методом или отсутствует.
Если проецировать разницу в качественном и квантитативном подходах вообще на анализ дискурса, справедливо заметить, что квантитативный подход позволяет осуществлять надежный, контролируемый, объективный, ориентированный на результат обобщенный анализ групп языковых явлений. Для качественного анализа характерна процедура естественного наблюдения, субъективность результатов, дексриптивность, валидность, широкий диапазон данных [3]. Если принимать во внимание традиционное видение дискурса как процесса или как результата, то очевидно, что квантитативный подход ориентирован на результат, а качественный - на процесс.
По мнению А. Лазаратон, квантитативные методы позволяют определить частотность языковых явлений, а качественные - выявить их причину. Такое деление представляется нам достаточно условным, поскольку многомерный статистический анализ подразумевает исследование внутренних связей объекта, а, следовательно, позволяет выявить структурные взаимосвязи внутри дискурса и описать тенденции взаимодействия различных дискурсивных категорий.
Другая позиция была высказана Д. Ньюнаном относительно критерия контроля в квантитативном и качественном подходах. Он полагает, что разница в выборе подхода состоит в том, чтобы определить, в какой степени необходимы, с одной стороны, избирательность, а с другой - влияние на изучаемый объект [3; 4]. Избирательность означает выбор дискурсивных характеристик, подлежащих анализу. В связи с этим Д.Ньюнан группирует особенности, присущие исследовательским методам, в форме двух оппозиций: «высо-кая-низкая избирательность», «вмешательство/влияние-невмешательство» [4]. Из предлагаемой автором схемы можно сделать вывод о том, что квантитативные методы, к которым из упомянутых можно отнести контроль и измерение, характеризуются высокой степенью избирательности. В свою очередь, качественные методы наблюдения и интервью можно отнести к группе с низкой избирательностью.
В отношении дискурса Д. Ньюнан предлагает дополнительные критерии разделения квантитативного и качественного подходов: способ получения данных (естественный или искусственно созданный), вид дискурса (устный или письменный), единицы анализа (лингвистические или экс-
тралингвистические) [4]. На наш взгляд, выделенные параметры соотносятся со схемой описания квантитативных методов, потому что характеризуют участников, материалы, способы и процедуру исследования.
Говоря о виде дискурса, стоит отметить, что материалом для большинства исследований с помощью квантитативных методов является устный дискурс. Точнее, транскрипции аудиозаписей, выполненные с помощью традиционных правил орфографии, которые далее исследуются с помощь дисперсионного анализа. В частности, в одном из диссертационных исследований квантитативный подход использован в аспекте социолингвистики [3]. Автор анализировала влияние социокультурных факторов на проявление (распределение, дисперсию) языковых вариаций у англоговорящих детей, изучавших испанский язык на протяжении пяти месяцев. В качестве исследовательских методов были выбраны наблюдения, интервью и анкетирование, которые, согласно классификации Д. Ньюнана, можно отнести к группе с низкой избирательностью. В итоге автор пришла к выводу, что особенности иноязычного устного дискурса зависят от переменных говорящего, вида выполняемой им деятельности (учебный или неформальный дискурс), а также цели и содержания задания.
В этом же исследовании автор сочетала разные виды многофакторного анализа, дисперсионный и регрессионный, что позволило выявить пограничные факторы, которые повлияли на распределение величин.
В собственной практике преподавания английского языка мы также предприняли попытку использования квантитативных методов для анализа письменного дискурса. Участниками эксперимента выступили студенты 4 курса института филологии ТГУ имени Г. Р. Державина, профессионально изучающие английский язык четвертый год и владеющие языком на уровне С1. Материалом для квантитативного анализа выступили творческие письменные работы в формате «выразите свое мнение» на тему «Хотели бы Вы, чтобы Ваш ребенок был гениальным?» объемом до 350 слов. Нами анализировался учебный письменный дискурс, созданный студентами на занятиях.
Был выбран первый, один из самых сложных для оценивании критериев оценивания письменных работ - содержание, составной частью которого является соответствие письменной работы заданной теме. Главным показателем полноты и релевантности содержания всегда является лексическое наполнение. Следовательно, в качестве
переменных выступили 10 наиболее частотных слов в каждом из сочинений, выявленных с помощью программы Wordle. Они составили столбцы матрицы. В строках матрицы были указаны случаи, то есть, эссе конкретных студентов.
Посчитав с помощью поисковика Word количество словоупотреблений каждого слова в каждом из случаев, мы получили матрицу. В первоначальном виде она выглядела достаточно громоздкой по горизонтали за счет того, что некоторые из слов, выявленных как наиболее частотные в отдельных сочинениях, не употреблялись в других. Поэтому мы решили удалить те столбцы, которые имели положительное значение только в одной из строк. В результате из анализа были ис-
ключены слова psyche, baby, smart, educate, often, appropriate, hope, world. В конечном виде матрица выглядела следующим образом в программе Sta-tistica [І] (рис. І).
Далее мы осуществили с помощью пакета Statistica факторный анализ матрицы. В первый раз было задано З фактора с вращением исходных данных. В результате в первом факторе наиболее частотными стали слова, выделенные на рисунке 2 красным цветом и те, которые имели факторные нагрузки более 0,5: want, know, happy, talent, special, care, people, every. Второй фактор составили слова gifted, ordinary, ability, kid, child, bring, love. В третьем факторе приобрели больший вес слова life, protect, peer, world, every, view, child.
Рис. 1. Матрица словоупотреблений в программе Statistica
Рис. 2. Факторный анализ матрицы
На основании полученных данных мы можем интерпретировать факторы, повлиявшие на распределение слова таким образом. Вероятно, к первому можно отнести понятия, обозначающие характеристики людей вообще и каждого в отдельности (талантливый, счастливый, особенный) и их потребность в знаниях и заботе.
Второй фактор раскрывает характеристики и способности ребенка. Третий фактор включает бо-
i
Не можете найти то, что вам нужно? Попробуйте сервис подбора литературы.
лее обобщенные понятия, он свидетельствует о действиях, которые могут совершаться в отношении ребенка. Назовем условно эти три фактора характеристики людей, характеристики ребенка, взаимосвязь ребенка и общества.
Для уточнения интерпретированных нами трех факторов мы провели дополнительный факторный анализ, ограничив количество факторов двумя (рис. 3).
Рис. 3. Дополнительный факторный анализ
Из рисунка видно, что наиболее частотными являются две группы слов. К первой относятся child, parents, every, happy, talent, special, world, care. Ко второй группе относятся слова happy, kid, know, ability, ordinary, raise, bring, gifted. Интерпретируя полученную информацию, мы пришли к выводу, что первый фактор условно можно назвать фактором «талантливый ребенок в семье и окружающем мире», а второй - «что значит быть талантливым и как этого добиться».
С лингвистической точки зрения факторы выступают в роли концептов, раскрытых в содержании письменных работ. Полученные данные на основе факторного анализа письменных работ студентов по заданной теме позволили говорить о том, что концепты, обозначенные первым и вторым фактором, являлись наиболее типичными. К сожалению, не было зафиксировано многообразия факторов, что может быть свидетельством недостаточной проработки студентами сопутст-
вующих тем. Тем не менее, содержание работ полностью соответствует заявленной теме.
Далее мы приводим результаты кластерного анализа той же матрицы данных, которые позволяют наглядно проследить, какие слова в студенческих работах более всего близки по смыслу и какие группы они образуют (рис. 4). В качестве графика была выбрана вертикальная дендрограмма.
Дендрограмма на рисунке 4 означает, что вверху рисунка находятся наиболее общие классы слов. Поперечные линии показывают, какие классы объединяются по степени близости значений. В нижней части рисунка кубики обозначают самые близкие по сочетаемости слова. Таким образом, можно говорить, что самые крупные классы образуются понятия ми «ребенок», «гений», «родители», «ребенок, его способности, взаимоотношения с другими людьми». Очевидно, что понятие «ребенок» чаще всего выражается только с помощью слова child, в то время как остальные понятия включают более разнообразную лексику.
Интересно, что наиболее типичными явились сочетания слов: society and different; peer and point of view; every, time and ability; special and care; life and protect; know and people, bring and gifted. Они достаточно прозрачно отражают мысли, высказанные в письменных работах в поддержку собственных аргументов. Одновременно сочетание tal-
Приведенные примеры многофакторного анализа письменных работ в группе студентов позволяют сделать наиболее общие выводы в отношении критерия содержания и выявить типичные особенности. В то же время, каждая из работ может быть проанализирована в лексическом плане для более объективного оценивания. Возможен и сравнительный анализ двух работ в том случае, если преподаватель сомневается в объективности оценивания их содержания. Помимо этого, продукт письменного дискурса может быть проанализирован с точки зрения грамматических конструкций, дискурсивных маркеров, типов предложений и использованных приемов когезии текста.
Подводя итог, следует отметить, что квантитативный и качественный подходы в прикладной лингвистике тесно взаимодействуют, при этом каждый из них имеет свои отличительные особенности. Квантитативный подход пока не нашел широкой популярности у исследователей, но име-
ent and happy явилось достаточно необычным. Его можно трактовать как мнение о том, что талант приносит человеку счастье. Итак, анализ дендрограммы позволяет говорить, что все аспекты темы были раскрыты в письменных работах, а также позволяет обобщить аргументы, выдвинутые студентами.
ет неоспоримые преимущества, позволяющие точно сгруппировать данные и объективно оценить результаты исследования с помощью статистических методов. Квантитативный подход может означать использование нескольких методов анализа в рамках одного исследования. К недостаткам данного подхода можно отнести трудоемкость на стадии сбора данных и некоторую субъективность в интерпретации результатов многомерного анализа. В методике преподавания иностранных языков квантитативные методы могут быть полезны для исследования общих и индивидуальных результатов обучения, учебных материалов и эффективности использования разных типов заданий.
МЕТОД САМОНАБЛЮДЕНИЯ В ИССЛЕДОВАНИИ ЯЗЫКОВОЙ ЛИЧНОСТИ МЕДИАТОРА
[ext[ссылка|https://cyberleninka.ru/article/n/metod-samonablyudeniya-v-issledovanii-yazykovoy-lichnosti-mediatora]]
Kinderknekht Anna Sergeevna SELF-OBSERVATION METHOD ..
philological sciences -linguistics
УДК 81-139
DOI: 10.26140/bgz3-2019-0802-0060
МЕТОД САМОНАБЛЮДЕНИЯ В ИССЛЕДОВАНИИ ЯЗЫКОВОЙ ЛИЧНОСТИ МЕДИАТОРА
© 2019
Киндеркнехт Анна Сергеевна, кандидат филологических наук, доцент, доцент кафедры «Иностранные языки, лингвистика и перевод» Пермский национальный исследовательский политехнический университет (614990, Россия, Пермь, Комсомольский проспект, 29, e-mail: a_kinderknecht@mail.ru)
Аннотация. В статье идет речь о методике научного исследования и необходимости поиска адекватного метода для изучения языковой личности в определенных условиях ее существования. Статья посвящена методу самонаблюдения (интроспекции), имеющему долгую историю применения в психологических исследованиях. Кратко характеризуется неоднозначность отношения исследователей к методу интроспекции в психологическом познании. Отмечается возрождение интереса к методу в современных исследованиях, в которых самонаблюдение используется как инструмент исследования реальности, недоступной для изучения другими методами. Обращается внимание на актуальные изменения в науке и на формирование понятия наблюдателя, объединяющего в себе субъектные и предметные характеристики. Рассматривается возможность применения метода самонаблюдения в лингвистических исследованиях, в частности, в лингвоперсонологии как направлении лингвистического знания, объектом которого является языковая личность. Учитывая дискуссионность использования метода самонаблюдения в лингвистике, автор обосновывает валидность метода для сбора данных и для изучения языка в новой для России профессиональной области - медиации как процедуре примирения сторон. Изучая закрытую для широкой общественности сферу деятельности медиатора, автор обнаруживает условия, ограничивающие применение многих научных методов в исследовании языковой личности медиатора. Метод самонаблюдения рассматривается как один из основных методов для лингвистического изучения и анализа фактического материала в медиации.
Ключевые слова: метод самонаблюдения (интроспекции), психология, лингвистическое исследование, лингво-персонология, языковая личность, медиация, медиатор.
SELF-OBSERVATION METHOD IN STUDY OF MEDIATOR'S LINGUISTIC PERSONALITY
© 2019
Kinderknekht Anna Sergeevna, candidate of philological sciences, docent, associate professor of the department «Foreign languages, linguistics and translation» Perm National Research Polytechnic University (614990, Russia, Perm, Komsomolsky av., 29, e-mail: a_kinderknecht@mail.ru)
Abstract. The article deals with the methodology of scientific research and the need to find an adequate method for studying linguistic personality in certain conditions of its existence. The article is devoted to the self-observation (introspection) method, which has a long history of use in psychological research. The ambiguity of researchers' attitude towards introspection method in psychological cognition is briefly characterized. There is a revival of interest in the method in modern research, in which self-observation is used as a tool for researching reality that is inaccessible for study by other methods. A great attention is paid to current changes in science and the formation of the concept of the observer, which combines subject and object characteristics. The possibility of using the self-observation method in linguistic studies, in particular in linguistic personology as a direction of linguistic knowledge, is considered. Given the debatable use of self-observation method in linguistics, the author substantiates the validity of the method for collecting data and for learning language in a new professional field in Russia: mediation as a procedure for reconciling the parties. Studying the scope of mediator's activity that is closed to the general public, the author discovers conditions that could limit the application of many scientific methods in the study of the mediator's linguistic personality. The self-observation method is considered as one of the main methods for linguistic study and analysis of factual material in mediation.
Keywords: self-observation method (introspection), psychology, linguistic research, linguistic personology, linguistic personality, mediation, mediator.
С поиска адекватных методов исследования начинается изучение любого научного объекта. Как пишет О.А. Кузнецова, осмысление методологических предпосылок, на которых будет основываться научное исследование, и соответствующих им методов познания, - обязательное условие начала исследовательского процесса после постановки цели и задачи исследования [1, с. 254]. Метод выступает отправной точкой в изучении объекта, неким «орудием мышления исследователя» [2, с. 24], определяющим способ получения достоверных данных. Интерес к методике научного анализа связан как с организационными вопросами научного исследования, так и с объективными изменениями в современном научном знании, которые проявляются в расширении границ науки и междисциплинарном синтезе, когда для изучения объекта необходимо объединение усилий ученых из разных предметных и дисциплинарных областей, - в этом случае выбор адекватного метода является действительно насущной задачей исследования.
В настоящей статье рассмотрим один из возможных методов исследования в лингвистическом исследовании - метод самонаблюдения. Самонаблюдение - наблюдение над самим собой; анализ собственной духовной жизни [3], «наблюдение, объектом которого являются
психические состояния и действия самого же наблюдающего субъекта» [4]. Самонаблюдение, или интроспекция - хронологически первый метод психологической науки, относящийся к классу методов наблюдения и дополняемый объективным наблюдением, позволяющим проверить результаты самонаблюдения [5]. Будучи методом, сопровождающим все другие методы психологии, самонаблюдение рассматривается как принципиально несамостоятельный метод, «интроспективный аккомпанемент психических явлений» [6, с. 23].
В психологии отношение к самонаблюдению как методу научного исследования не является однозначным и простым. Отмечено, что за время существования психологической науки позиции ученых по поводу метода самонаблюдения варьируются от признания его роли в психологическом познании и рассмотрения возможностей различных вариантов интроспекции до критики недостатков метода в исследовании эмпирического материала и недоверия к достоверности получаемого таким образом материала [7]. Проблема самонаблюдения, как пишет Ю.Б. Гиппенрейтер, - одна из самых сложных и запутанных проблем психологии [8].
Не вдаваясь в детали истории метода, отметим, что возрождение интереса к интроспекции в когнитивной
252
Baltic Humanitarian Journal. 2019. Т. 8. № (27)
филологические науки -языкознание
Киндеркнехт Анна Сергеевна МЕТОД САМОНАБЛЮДЕНИЯ ...
психологии, а далее в психологии личности связывается с необходимостью изучения познания, для поиска внутри своей психики когнитивных схем, позволяющих отделять неизвестную информацию от известной, для наблюдения за когнитивными циклами, а также с возможностью проникнуть к глубинным непосредственно ненаблюдаемым психическим процессам [9]. Сочетание в исследователе одновременно наблюдаемого объекта и наблюдающего субъекта признается возможным в исследовании реальности, недоступной для изучения с помощью строгих научных методов. Более того, соотношение субъекта и объекта исследования представляется допустимым эпистемически, так как, согласно упоминанию З.Р. Валеевой, «в психологии объективные компоненты знания спаяны с его субъективными компонентами» [10, с. 705].
М.И. Яновский пишет, что в связи с наличием в психике неоднородности, множественности, квазиполи-субъектности, метод самонаблюдения в отвлечении от свойственных ему ограничений в методологии психологического исследования производит своего рода настройку психических явлений, проясняет исследуемый психический феномен [11]. Согласование с внешними проявлениями происходит за счет сопоставления результатов самонаблюдения о текущей индивидуальной жизни с аналогичным отображением самонаблюдения других людей [12].
Сегодня так называемое «возрождение интроспекции» в научных исследованиях не является «поводом для восклицательных знаков» [13, с. 128]. Понимание субъекта в научном знании в XX веке претерпевает ряд изменений, в результате которых становится возможным формирование «понятия наблюдателя, которое объединяет в себе субъектные и предметные характеристики» [14, с. 86]. Изучение метода самонаблюдения становится актуальным в связи с особым звучанием междисциплинарных вопросов [15] и неизбежным переносом (экстраполяцией) знаний и методики научного анализа из одной науки в другую [16]. Самонаблюдение сегодня - это один из эффективных методов профессионализации и расширения индивидуального опыта [17], один из новых методов сбора данных в рамках межкультурной коммуникации [18], а также метод самомониторинга в оценке социальной и профессиональной адаптации [19].
Самонаблюдение (интроспекция) начинает освещаться в лингвистических исследованиях: разрабатывается понятие интроспекции персонажа художественного произведения [20], изучается возможность анализа лингвистом собственных текстов [21], методом самонаблюдения анализируются отдельные аспекты динамического сосуществования различных языков в одной языковой личности [22], подробно рассматриваются дискуссионные вопросы метода интроспекции (самонаблюдения) в лингвистике и языке [23].
В лингвистических исследованиях отношение к самонаблюдению как методу также не является простым. Как и в психологии, в лингвистике используются оба термина: самонаблюдение и интроспекция, рассматриваемые как синонимы или как обозначения различных вариантов и исторически различающихся форм метода, обусловливающих многообразие подходов к рассмотрению интроспекции. В лингвистике к модификациям метода интроспекции можно в равной мере отнести высказывание В.А. Мазилова, рассматривающего метод самонаблюдения в научной психологии: «Выбор точки отсчета зависит в значительной степени от вкуса» [24, с. 83].
В лингвистических исследованиях также ведутся разговоры по поводу применимости метода, причем, как отмечает М.К. Тимофеева, «традиция отношения к интроспекции как к одному из базовых методов лингвистики в настоящее время подвергается критике как "изнутри", так и "извне"» [23, с. 34]. В широком понимании, когда «интроспекцией считают любое обращение
к своему сознанию как к источнику фактов и аргументов для коммуникации или лингвистического исследования», данный метод рассматривается как один из основных методов научного исследования в лингвистике [23, с. 36-38]. В узком, «бихевиористском» понимании интроспекция как метод в большей степени подвержена критике как ненадежный источник получения информации [23, с. 38]. М.К. Тимофева обращает внимание, что для изучения возможностей самонаблюдения/интроспекции как метода лингвистического исследования необходимо проанализировать, применительно к каким объектам изучения и насколько надежно можно использовать этот метод [23].
В лингвоперсонологии - актуальном направлении лингвистического знания, объектом которого является языковая личность, - метод самонаблюдения рассматривается как возможный метод для сбора и анализа языковых фактов. Е.В. Иванцова в статье «Проблемы формирования методологических основ лингвоперсоноло-гии» относит метод самонаблюдения к специфическим методам, синтезирующим приемы сбора фактических данных и их первичного анализа в исследовании языковой личности [25]. Исследовательница отмечает, что «самонаблюдение позволяет получить уникальную информацию, недоступную из других видов источников» [25, с. 41]. Е.В. Иванцова отмечает, что самонаблюдение применимо в достаточно узком круге вопросов и как метод исследования встречается на практике редко [25]. Вместе с тем исследовательница признает, что «принципы изучения носителя языка находятся в стадии формирования, и их выработка будет способствовать появлению высокоинформативных аналитических работ о "человеке говорящем" во всем многообразии его реальных проявлений» [25, с. 41].
Одним из реальных проявлений языковой личности медиатора является профессиональная сфера - медиация, толчком к развитию которой послужило принятие в России Федерального закона № 193-ФЗ «Об альтернативной процедуре урегулирования споров с участием посредника (процедуре медиации)». Медиация - это «один из методов урегулирования конфликтов, суть которого заключается в добровольных переговорах конфликтующих сторон с участием независимого посредника - медиатора» [26, с. 1]. Медиация представляет собой процедуру, существенно отличающуюся от других переговорных технологий, целью которых является разрешение конфликта [26, с. 2].
Регулируемая правом, медиация как профессиональная сфера основывается на ряде принципов, прописанных в законе, следование которым обязательно для медиатора: добровольность, конфиденциальность, сотрудничество и равноправие сторон, беспристрастность и независимость медиатора. Принцип конфиденциальности как один из принципов медиации представляет особое препятствие для непосредственного исследования языковой личности медиатора с использованием традиционных для лингвистики методов. Медиация не является публичным процессом. Согласно закону, при проведении процедуры медиации сохраняется конфиденциальность всей относящейся к данной процедуре информации. Без согласия сторон медиатор не вправе разглашать информацию, ставшую ему известной во время процедуры; запрещается аудио-, видеосъемка и стенографирование материалов в ходе медиации.
Медиация является частично закрытой для общественности профессиональной сферой. К материалам, свободным для непосредственного изучения, относятся лишь письменные соглашения, выходящие за рамки процедуры медиации, между тем результаты медиации в виде соглашений могут представлять собой устные договоренности между сторонами, а устные договоренности также не могут фиксироваться сторонним наблюдателем. Получается, что использование метода самонаблюдения для изучения языковой личности медиатора
Kinderknekht Anna Sergeevna philological sciences -
SELF-OBSERVATION METHOD ... linguistics
оказывается здесь вполне оправданным.
При изучении языковой личности медиатора и при сборе материала в сфере, которая не является полностью открытой для общественности, допустимо лишь исследование «изнутри», когда исследователь становится одним лицом с испытуемым. Идеальным вариантом здесь может выступать ситуация тренинга, когда исследователь (наблюдающий субъект) для изучения медиатора (наблюдаемого объекта) сам обучается данной профессиональной области. Самонаблюдение в таком случае позволяет получить необходимую информацию о функционировании языка в закрытой профессиональной сфере, недоступную из других источников.
Отдельным способом сбора информации для исследования является внутрипрофессиональное общение с медиаторами-информантами, однако для этого также необходима сопричастность к дискурсу медиации. Материалом для анализа здесь будет не непосредственно наблюдаемые языковые явления и коммуникативная практика медиатора, а ретроспективная рефлексия самих медиаторов, анализируемая исследователем, проводящим опрос, что по сути представляет собой то же наблюдение за своей собственной речевой практикой в рамках профессии, интроспекцию своего коммуникативного поведения, нередко ретроспективную.
Необходимо отметить, что в сфере медиации метод интроспекции будет отличаться от метода «включения в языковое существование говорящего», используемого диалектологами при изучении языка отдельных личностей [27, с. 25]. Отличие заключается, прежде всего, в условиях включенности, которые предполагают длительное наблюдение и установление психологического контакта между исследователем и информантом. В исследовании дискурса медиации такие условия практически недостижимы при изучении группы информантов-медиаторов. Ограничением метода включенного наблюдения является к тому же конфиденциальность процедуры медиации, в связи с чем невозможна любого рода запись материалов цельных фрагментов коммуникации для последующего их анализа и интерпретации, не разрешается также присутствие исследователя в ходе проведения медиативных переговоров. Источником актуальной информации могут выступать лишь записи обучающегося медиатора, самонаблюдение за речевыми действиями в квазиреальных ситуациях тренинга и интроспекция профессионального медиатора, эпизодически опрашиваемого лингвистом-исследователем. В последнем случае самонаблюдение позволяет анализировать собственное коммуникативное поведение с точки зрения его приемлемости/неприемлемости в процедуре медиации и отслеживать соответствующие и недопустимые для целей медиативной коммуникации слова, конструкции, формулы, фразы.
К самонаблюдению как методу сбора и анализа по сути уникального материала близок прием саморегистрации медиатора. «Саморегистрация подразумевает наличие лингвистических знаний» [27, с. 26], что как раз соответствует совмещенной роли субъекта и объекта исследования в наблюдении за языковыми фактами. Самонаблюдение является здесь валидным методом с точки зрения отслеживания языковой самокоррекции при формировании специфической языковой компетентности медиатора. Ведение записей тренинга, необходимое медиатору для дальнейшего самообучения, включает также запись ошибок в речи медиатора для предотвращения конфликтогенных ситуаций в ходе процедуры медиации, исходящих от самого медиатора.
Итак, изучение языковой личности медиатора, затрудненное в непосредственном наблюдении в процессе медиации, может заменяться самонаблюдением как методом, применение которого обосновано присущими профессиональной сфере медиатора ограничениями, касающимися сбора материала для исследования. Самонаблюдение может вестись в рамках собственной 254
медиативной практики и в рамках тренинга по формированию медиативных речевых компетенций в ситуациях, близких к реальным, но не являющихся конфиденциальными. Применение метода самонаблюдения представляется адекватным для анализа собственного речевого поведения в контексте саморазвития медиатора. Самонаблюдение может также выступать в качестве валидного метода в саморефлексии профессионального медиатора, отслеживающего особенности, характерные для речевого взаимодействия медиатора со сторонами для достижения цели медиации - урегулирования возникшего спора/конфликта. Самонаблюдение в исследовании языковой личности медиатора, как видим, становится возможным средством сбора информации для последующего лингвистического исследования. Метод самонаблюдения позволяет собрать фактические данные, касающиеся речевой культуры в конкретной профессиональной области, закрытой для широкой общественности и недоступной для изучения с помощью других методов исследования.
СПИСОК ЛИТЕРАТУРЫ:
1. Кузнецова О.А. Методы научного исследования в цивилистиче-ских диссертациях // Вестник Пермского университета. Юридические науки. 2014. № 4 (26). С. 254-270.
2. Пономарев А.Б., Пикулева Э.А. Методология научных исследований: учебное пособие. Пермь: Изд-во Перм. нац. исслед. политехн. ун-та, 2014. 186 с.
3. Большой толковый словарь русского языка / Гл. ред. С.А. Кузнецов. СПб.: «Норинт», 2000. 1536 с.
4. Большая советская энциклопедия [Электронный ресурс]. URL: https://gufo.me/dict/bse/Самонаблюдение (дата обращения: 13.02.2019).
5. Новейший философский словарь [Электронный ресурс]. URL: https://gufo.me/dict/philosophy?letter=с (дата обращения: 02.01.2019).
6. Семенов И.Н. Рефлексивность самонаблюдения и персоноло-гия интроспекции: к онтологии и методологии рефлексивной психологии индивидуальности // Вестник Московского университета. Серия 14: Психология. 2015. № 3. С. 22-39.
7. Левченко Е.В. История интроспекции в России (конец XIX — начало XX вв.) //Методология и история психологии. 2007. Т. 2. № 2. С. 54-67.
8. Гиппенрейтер Ю.Б. Метод интроспекции и проблема самонаблюдения. В кн.: Гиппенрейтер Ю.Б. Введение в общую психологию. М.: Изд-во МГУ, 1988. С. 34-47.
9. Березина Т.Н. Интроспективный эксперимент: новые возможности старого метода // Вестник Московского государственного гуманитарного университета им. М.А. Шолохова. Педагогика и психология. 2010. № 4. С. 21-26.
10. Валеева З.Р. Методологические основания современной психологии //Вестник Башкирского университета. 2015. Т. 20. № 2. С. 704708.
11. Яновский М.И. Самонаблюдение как метод психологии // Вестник Московского университета. Серия 14: Психология. 2015. № 3. С. 3-21.
12. Словарь практического психолога [Электронный ресурс]. URL: http://www.cyclopedia.ru/88/209/2655736.html (дата обращения: 22.02.2019).
13. Вайнштейн С.В. Самонаблюдение между феноменологией и повествованием: обзор коллективной монографии. Clegg J.W. (ed.) Self-observation in the social sciences (N.J.: Transaction Publishers,
2013, 380 p. + XIII) //Вестник Пермского университета. Философия. Психология. Социология. 2016. № 4 (28). С. 128-130.
14. Маркова Л.А. Субъект как наблюдатель // Вопросы философии. 2011. № 4. С. 84-94.
15. Бескова И.А. Естественный интеллект, междисциплинар-ность и феномен интегрального постижения // Философия науки.
2014. Т. 19. № 1. С. 164-182.
16. Кодухов В.И. Методы языкознания. В кн.: Кодухов В.Н. Общее языкознание: учебник для студентов филол. специальностей у-тов и пед. ин-тов. М.: Высш. шк., 1974. С. 202-281.
17. Шумакова О.А. Самонаблюдение в освоении профессионального опыта будущими педагогами-психологами // Известия Российского государственного педагогического университета им. А.И. Герцена.
2008. № 62. С. 332-339.
18. Веселовская Т.С. Возможности применения интроспекции при создании межкультурных тренингов // Гуманитарные, социально-экономические и общественные науки. 2014. № 9. С. 370-373.
19. Пивкин С.Д. Самомониторинг студентов электротехнических специальностей // Известия высших учебных заведений. Проблемы энергетики. 2007. № 11-12. С. 123-128.
20. Федотова О.С. Истоки представления об интроспекции персонажа // Вестник Челябинского государственного университета.
2009. № 34 (171). С. 131-135.
21. Копытов О.Н. Метод лингвистического автопортрета (на примере исследования модуса текста) // Вестник Военного университета. 2011. № 3 (27). С. 89-93.
22. Дебренн М. Лингвистическая интроспекция плюрилингва //
Baltic Humanitarian Journal. 2019. Т. 8. № (27)
филологические науки -языкознание
Киндеркнехт Анна Сергеевна МЕТОД САМОНАБЛЮДЕНИЯ ...
Вестник Новосибирского государственного университета. Серия: Лингвистика и межкультурная коммуникация. 2015. Т. 13. № 3.
23. Тимофеева М.К. Интроспекция в лингвистике и в языке // Вопросы языкознания. 2015. № 6. С. 33-53.
24. Мазилов В.А. Становление метода самонаблюдения. В кн.: Методология в психологической науке: история и современность: монография. Ярославль: Ярославский гос. пед. ун-т им. К.Д. Ушинского, 2017. С. 83-119.
25. Иванцова Е.В. Проблемы формирования методологических основ лингвоперсонологии // Вестник Томского государственного университета. Филология. 2008. № 3 (4). С. 27-43.
26. Азарнова А.Н. Медиация: искусство примирять: технология посредничества в урегулировании конфликтов. М.: Инфотропик Медиа, 2015. 288 с.
27. Иванцова Е.В. Феномен диалектной языковой личности. Томск: Изд-во Том. ун-та, 2002. 312 с.
Статья поступила в редакцию 25.02.2019 Статья принята к публикации 27.05.2019
С. 5-14.
Кичева И.В. Формирование понятийно-терминологической системы педагогики в 90-е годы XX века
[ext[ссылка|https://viewer.rusneb.ru/ru/000199_000009_002753052?page=1&rotate=0&theme=white]]
*[ext[ссылка в Dis11|file:///E:/Dis/Dis11]]
* [[Хроленко]]
* [[Плаксина]]
* [[Комлев]]
* [[Кащеева]]
* Кластерный метод в анализе учебных письменных текстов
[ext[ссылка|https://cyberleninka.ru/article/n/klasternyy-metod-v-analize-uchebnyh-pismennyh-tekstov]]
КЛЮЧЕВОЕ СЛОВО - информативное слово, приведенное к стандартной лексикографической форме и используемое для координатного индексирования
[[ГОСТ 7.74-96]]
* [[Языковая личность и лингвистические интерпретации]]
* [[Аналоговые процессы в лингвокреативной деятельности языковой личности]]
* [[Языковая личность: аспекты изучения]]
* [[Основы лингводидактики]]
* [[Гальскова, Гез]]
* [[Вайндорф-Сысоева М.Е. Виртуальная образовательная среда]]
* [[Налимов В. В. Вероятностная модель языка. О соотношении естественных и искусственных языков.]]
* [[Современный русский язык]]
* [[Современное диссертационное исследование по педагогике]]
* [[Виноградов В.В. О языке художественной прозы]]
* [[Глава 12. Особенности обучения студентов в полилингвальной образовательной среде вуза]]
* [[«Свое» и «чужое»: ...Коллектив. моногр.]] Языковая среда
[[Зимняя]]
[[Панкратова Т. М. Саморегуляция в социальном поведении]]
*[ext[ссылка Укус Питона|http://wombat.org.ua/AByteOfPython/AByteofPythonRussian-2.02.pdf]]
* [[Коллективная профессиональная языковая личность]]
В. А. Козырев,
* [[Речевой портрет современного студента: характеристика словарного запаса]]
[[Термины]] [[К]]
КОЛЛЕКТИВНАЯ ПРОФЕССИОНАЛЬНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ - обобщенный языковой портрет профессионального деятеля, владеющего профессиональным языком, профессиональным тезаурусом и следующего стереотипам профессионального поведения
[[Солнышкина М.И.]] автореферат стр. 8
КОЛЯСЕВА АЛЕНА ФЕДОРОВНА
ТЕРМИНОЛОГИЯ В ЗЕРКАЛЕ ОБЫДЕННОГО И
ПРОФЕССИОНАЛЬНОГО ЯЗЫКОВОГО СОЗНАНИЯ
[ext[ссылка|https://docviewer.yandex.ru/view/0/?page=1&*=dzTJp6y7BZMQKu82GIstVL1geS57InVybCI6Imh0dHA6Ly93d3cucGhpbG9sLm1zdS5ydS9%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%3D%3D&lang=ru]]
Колясева Алена Федоровна Терминология в зеркале обыденного и профессионального языкового сознания (URL: http://www.philol.msu.ru/~ref/001_19_14.htm)
Диссертация [ext[ссылка|http://www.philol.msu.ru/~ref/2014/2014_KolyasevaAF_diss_501.001.19.pdf]]
Язык антропоцентричен по своей сущности и в соответствии с этим должен изучаться –такова установка современной лингвистической мысли, поэтому все языковые факты она стремится исследовать с позиции человека, порождающего текст или этот текст воспринимающего. Активно исследуется человеческий фактор в языке, развиваются лингвистические дисциплины, фокусирующиеся на роли этого фактора в устройстве системы языка и в его функционировании (психолингвистика, социолингвистика, когнитивная лингвистика, лингвокультурология и др.). С этой целью создаются и применяются особые лингвистические концепции –«языковая личность», «языковое сознание», «языковая картина мира», являющиеся абстрактными ментальными конструктами, не отражающими конкретные материальные феномены, но позволяющими создавать научные модели для описания языковой способности и языковой деятельности человека. В задачи лингвистики на современном этапе входит непротиворечивая организация этих концепций таким образом, чтобы их можно было продуктивно использовать для анализа языкового материала, и рассмотрение традиционных лингвистических объектов под антропоцентрическим углом зрения.
КЛАСТЕР
КЛАСТЕР [англ. cluster - кисть; рой] - 1) лингв. последовательность, цепочка языковых элементов, которыми могут быть звуки (вокальный к.) или части речи (глагольный к.); 2) лингв. группа диалектов или языков, имеющих ряд общих черт как результат взаимного географического сближения; 3) хим., физ. группа молекул, выделяющихся из других подобных молекул и объединяющихся в устойчивое образование; 4) неупорядоченное целое.
КЛАСТЕРНЫЙ
КЛАСТЕРНЫЙ [< англ. cluster - кисть; рой] - объединенный по каким-л. подобным признакам. К. анализ - математическая операция, позволяющая на основе множества показателей (в частности, данных об испытуемых) объединить их в один класс.
Источник:
Комлев [ext[ссылка|http://rus-yaz.niv.ru/doc/foreign-words-komlev/fc/slovar-202-1.htm#zag-1039]]
Крайникова М.Н. Контактоустанавливающие единицы языка как средство развития языковой личности учащегося
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=834883]]
[ext[ссылка автореферат|https://new-disser.ru/_avtoreferats/01002770638.pdf]]
1.4. Полевая структура контактоустанавливающих средств русского языка.
Проблема исследования состоит в поиске ответа на вопрос: каковы научно-методические условия развития языковой личности учащихся средствами контактоустановления как единицами, формирующими коммуникативные(прагматические) компоненты смысла высказывания, текста?
kmn_ar_s5_4
''Цель исследования '' - разработать и апробировать методику обучения контактоустанавливающим средствам русского языка как системно-функциональному образованию разноуровневых языковых единиц в аспекте развития языковой личности школьника.
kmn_ar_s5_5
''Объект исследования'' - процесс обучения школьников русскому текстообразованию с учётом в нём роли контактоустанавливающих средств
kmn_ar_s5_6
''Предмет исследования'' - научно - методические условия развития языковой личности языковыми средствами контактоустановления.
kmn_ar_s5_7
Концепция функционально-семантических полей (А. В. Бондарко) определила полевый подход для описания контактоустанавливающих единиц языка. В своей основе данная концепция морфолого-центрическая. Описание семантического поля языковых средств контактоустановления строится на следующих понятиях: определённость/ неопределённость, понимаемые как выделение объекта (класса объектов) из класса (множества классов) объектов. Такая трактовка определённости/ неопределённости в настоящее время разделяется многими учёными (Е. В Падучева, О. Н. Селиверстова, Н. Ю. Шведова и др.). Семантическим центром данного поля является фатичность, которая в работе понимается как предиктабельность последующей связи с коммуникантами или с последующими частями высказывания. Конституенты при этом являются средствами фатического плана и устанавливают, таким образом, контакт между людьмии / или речевыми высказываниями.
стр 13
Доминантой поля является местоимение как класс слов, противостоящий другим классам слов по функции и своему строению. Местоимения формируют полицентрическое поле, составляющие которого в равной степени выражают фатическую функцию как при устном общении, так и в письменной речи. Для рассмотрения языковых средств контактоустановления в исследовании выделено два микрополя: поле, включающее языковые средства, цель которых -установление контакта между собеседниками (стереотипные средства, вопросительные предложения, повествовательные со значением деликатности, побуди-тельные, широкозначные имена существительные, дейктические глаголы, модальные, наречия, частицы, междометия, союзы, вводные слова, фразеологические единицы, порядок слов, части сложного предложения, суперсегментные средства, глаголы с абстрактными существительными с предлогом). Второе микрополе представляет собой группу языковых средств, благоприятствующихи не благоприятствующих общению. В него входят: средства, выражающие на-ичие или отсутствие заинтересованности, наличие возможности, способности
стр13
или невозможности, неспособности, положительного эмоционального отноше-ния или его отсутствия, выражающие отсутствие или наличие страха перед не-желательными последствиями, наличие или отсутствие усилий для преодоле-ния препятствий.
стр 14
[ext[в словаре t209|http://x919232q.bget.ru/wp-content/uploads/2019/12/t209.html#Контекст]]
*Лихачев [[Концептосфера русского языка]]
*Подвигина Н.Б. Понятие концепта и концептосферы [ext[ссылка|https://cyberleninka.ru/article/n/ponyatie-kontsepta-i-kontseptosfery]]
*Ястребова Г.А. Теоретические предпосылки исследования концепта в педагогике. [ext[ссылка|https://cyberleninka.ru/article/n/teoreticheskie-predposylki-issledovaniya-kontsepta-v-pedagogike]]
*Бондаревская Е.В., Кульневич С.В. Педагогика: личность в гуманистических теориях и системах воспитания [ext[ссылка|https://www.studmed.ru/view/bondarevskaya-ev-kulnevich-sv-pedagogika-lichnost-v-gumanisticheskih-teoriyah-i-sistemah-vospitaniya_3e57cc5d00a.html?page=1]]
*Педагогическая концептосфера как базис профессиональной подготовки педагога: генезис понятия [ext[ссылка|https://cyberleninka.ru/article/n/pedagogicheskaya-kontseptosfera-kak-bazis-professionalnoy-podgotovki-pedagoga-genezis-ponyatiya]]
*Зыкова И.В. «Концептосфера культуры» как базисная единица метаязыка лингвокультурологии. [ext[ссылка|https://cyberleninka.ru/article/n/kontseptosfera-kultury-kak-bazisnaya-edinitsa-metayazyka-lingvokulturologii]]
*Дмитриева Е.Н. Парадигма смыслообразующей педагогической подготовки учителя [ext[ссылка|https://cyberleninka.ru/article/n/paradigma-smysloobrazuyuschey-pedagogicheskoy-podgotovki-uchitelya]]
*Н.Н.Болдырев. Концепт и значение слова. [ext[ссылка|https://docplayer.ru/410915-N-n-boldyrev-tambov-koncept-i-znachenie-slova-issledovanie-vypolneno-pri-podderzhke-minobrazovaniya-rf-grant-goo-1-6-429.html]]
*Н.Н.Болдырев (Тамбов) Концептуальные структуры и языковые значения [ext[ссылка|https://docplayer.ru/410915-N-n-boldyrev-tambov-koncept-i-znachenie-slova-issledovanie-vypolneno-pri-podderzhke-minobrazovaniya-rf-grant-goo-1-6-429.html]]
*Миньяр-Белоручева А.П. Концепт в статике и динамике [ext[ссылка|https://cyberleninka.ru/article/n/kontsept-v-statike-i-dinamike]]
*Лыткина О.И. К вопросу о типологии концептов в современной лингвистике [ext[ссылка|https://cyberleninka.ru/article/n/k-voprosu-o-tipologii-kontseptov-v-sovremennoy-lingvistike]]
* Тасуева С.И. Когнитивные и прагма-социолингвистические аспекты динамики концепта tree (дерево) (на материале современного английского языка) [ext[ссылка|https://new-disser.ru/_avtoreferats/01005392036.pdf]]
* Гросс М. А. Использование корпусной лингвистики при исследовании терминологии договорного права [ext[ссылка|https://www.elibrary.ru/download/elibrary_26729450_87372262.pdf]]
* Гросс М.А. Автоматизированное выделение терминологии из текстов договоров на английском языке при помощи средств корпусной лингвистики [ext[ссылка|https://cyberleninka.ru/article/n/avtomatizirovannoe-vydelenie-terminologii-iz-tekstov-dogovorov-na-angliyskom-yazyke-pri-pomoschi-sredstv-korpusnoy-lingvistiki]]
* Система AntConc и возможность ее использования для выделения информативных лексических единиц [ext[ссылка|https://www.elibrary.ru/download/elibrary_29740519_11639382.pdf]]
*Е. В. МОШНЯГА Концептное пространство. [ext[ссылка|http://www.zpu-journal.ru/zpu/contents/2011/1/Moshniaga_Conceptual_Space/45_2011_1.pdf]]
*Дмитриева, Е.Н. Смысловая парадигма как основа совершенствования профессиональной подготовки педагогов в вузе [ext[ссылка|https://new-disser.ru/_avtoreferats/01002637837.pdf]]
---
Из гафиятовой
Выявление доминантных синонимов в парах/цепочках осуществлялось при помощи ресурса NgramViewer. NgramViewer–веб-сервис, позволяющий выявить частотность применения языковой единицы в дискурсе. Размер корпуса текстов, положенного в основу данного инструмента –GoogleBooksсоставляет 861 877 262 497 словоупотреблений. Русская часть корпуса –это 591 310 текстов (и более 67 млрд словоупотреблений). Временной охват русского корпуса –с 1720-х гг. по 2008 г. На данном этапе развития корпусной лингвистики корпус Гугл букс рассматривается специалистами как один из наиболее репрезентативных и сбалансированных корпусов дляанглийского и русского языков [Захаров, Масевич]. Организация текстовых материалов в корпусе позволяет отслеживать частотность использования в дискурсе языковых единиц как общего, так и специального дискурсов во временном диапазоне от 1500 года
[ext[ссылка|https://ru.wikipedia.org/wiki/Google_Books_Ngram_Viewer]]
```
Концептосфера русского языка// Известия РАН. Сер. лит. и яз. — М., 1993. — Т. 52, № 1. — С. 3–9.
```
[ext[ссылка|https://b-ok.cc/book/2962411/4babc8]]
```
В основе главы – доклад, прочитанный в Институте мировой литературы РАН 21 октября 1992 г. на конференции «История русской литературы: пути изучения, проблемы периодизации».
```
```
Лихачев Д. С. Концептосфера русского языка // Русская словесность. От теории словесности к структуре текста. Антология / Под общ. ред. д.ф.н., проф. В.П. Нерознака. М., 1997. С. 280 – 287
```
```
В предлагаемой ниже вниманию читателей работе я исхожу не из понятия «концепта», как это понятие трактуется в коллективном труде (Логический анализ языка. Культурные концепты. М.,1991), а из положений статьи С.А. Аскольдова-Алекссева, напечатанной в сборнике «Русская речь» (Аскольдов-Алекссев С.А. Концепт и слово.// Русская речь. Новая серия. Вып. 2. Л., 1928. С. 28-44). Редакция этого сборника в свое время совершила подвиг, напечатав статью «идеалиста», тем более что ко времени его выхода автор был арестован и не мог продолжить своего исследования. Примечание, которым была снабжена статья, конечно, не могло оградить редакцию от очень серьезных обвинений. Текст примечания следующий: «Редакция печатает и впредь будет печатать интересные философско-лингвистические статьи совершенно независимо от общего философского направления их авторов». Свое обещание, однако, редакция не смогла выполнить: сборники «Русская речь» перестали выходить, а сам автор после более чем десятилетних скитаний в ссылках умер в Германии, в Потсдаме, где его «освободители», следственные органы ОГПУ, пытались его снова арестовать. Инфаркт со смертельным исходом освободил его от дальнейших мук.
```
Сейчас статья С.А.Аскольдова-Алексеева приобрела особую актуальность благодаря появлению работ акад. Ю.С.Степанова, его школы, а также инициированных ими трудов. Аспекты анализа значения концепта, введенные С.А. Аскольдовым-Алексеевым, могут значительно расширить сферу исследования в строну историко-культурного рассмотрения проблемы.
В своей работе я попытаюсь продолжить рассуждения С.А.Аскольдова. Для этого необходимо в самом кратком виде изложить выводы автора, хотя уже в своей статье он достаточно лаконичен. Аскольдов начинает свою статью так: «Вопрос о природе общих понятий или концептов – по средневековой терминологии универсалий – старый вопрос, давно стоящих на очереди, но почти не тронутый в своем центральном пункте. Общее понятие, как содержание акта сознания, остается до сих пор весьма загадочной величиной – почти неуловимым мельканием чего-то в умственном кругозоре, происходящим при быстром произнесении и понимании таких слов, как «тысячеугольник», «справедливость», «закон», «право» и т.п. Связываете ли вы со словом «тысячеугольник» какое-нибудь представление? Если такое представление и есть, то оно, конечно, неотличимо от представлений 800-900-угольника. И однако вы самым четким образом можете вывести сумму углов этих фигур, а при известных данных их периметры, площади и т.п.»
«Как может неясное “что-то”, только “мелькающее” в уме, породить такую четкость выводов?» - спрашивает С.А.Аскольдов.
Ответ на свой вопрос С.А.Аскольдов находит в том, что концепт выполняет функцию заместительства. С.А.Аскольдов пишет: «Чтобы подойти к уяснению природы концептов, необходимо уловить самую существенную их сторону как познавательных средств. Эту сторону мы видим в функции заместительства (курсив мой – Д.Л.). Концепт есть мысленное образование, которое замещает нам в процессе мысли неопределенное множество предметов одного и того же рода». Свою мысль С.А.Аскольдов поясняет следующим примером: «Высказывая какое-нибудь общее положение о растительном организме, мы ведь в конечном итоге имеем в виду именно их, т.е. все неопределенное множество реальных или хотя бы представимых растений… Не следует, конечно, думать, что концепт есть всегда заместитель реальных предметов. Он может быть заместителе некоторых сторон предмета или реальных действий, как например, концепт «справедливость». Наконец, он может быть заместителем
резного рода хотя бы и весьма точных, но чисто мысленных функций. Таковы, например, математические концепты».
Существенная особенность заместительной способности концептов, указывает Аскольдов, состоит в том, что она основана иногда только на потенции совершить то или иное «замещение» - потенции иногда крайне слабо ощутимой, но тем не менее действенной, без которой не может совершаться более или менее слаженное языковое общение.
В отличие от С.А.Аскольдова, я полагаю, что концепт существует не для самого слова, а во-первых, для каждого основного (словарного) значения слова отдельно и, во-вторых, предлагаю считать концепт своего рода «алгебраическим» выражением значения («алгебраическим выражением» или «алгебраическим обозначением»), которым мы оперируем в соей письменной и устной речи, ибо охватить значение во всех его сложности человек просто не успевает, иногда не может, а иногда по-своему интерпретирует его (в зависимости от своего образования, личного опыта, принадлежности к определенной среде, профессии и т.д.). Заместительная функция концепта облегчает языковое общение еще в одном отношении: оно позволяет при языковом общении преодолевать несущественные, но всегда существующие между общающимися различия в понимании слов, их толковании, отвлекаться от «мелочей» (иногда впрочем, очень важных, например, в поэзии).
Какое из словарных значений слова замещает собой концепт, выясняется обычно из контекста, а иногда даже из общей ситуации. Концепт не непосредственно возникает из значения слова, а является результатом столкновения словарного значения слова с личным и народным опытом человека.
Рассматривая, как воспринимается слово, значение и концепт, мы не должны исключать человека. Потенции концепта тем шире и богаче, чем шире и богаче культурный опыт человека.
И слово, и его значения, и концепты этих значений существуют не сами по себе в некоей независимой невесомости, а в определенной человеческой «идеосфере». У каждого человека есть свой, индивидуальный культурный опыт, запас знаний и навыков (последнее не менее важно), которыми и определяется богатство значений слова и богатство концептов этих значений, а иногда, впрочем, и из бедность, однозначность.
Составители словарей языка обычно тоже отмечают «участие» словоносителей пометами к слову типа: «устарелое», «областное», «просторечное», «разговорное», но этого, конечно, слишком мало, чтобы определить участие человека в характере значения, а тем более для содержания концепта. В сущности, у каждого человека есть свой круг ассоциаций, оттенков значения и в связи с этим свои особенности в потенциальных возможностях концепта.
Чем меньше культурный опыт человека, тем беднее не только его язык, но и «концеатосфера» его словарного запаса, как активного, так и пассивного. Имеет значение не только широкая осведомленность и богатство эмоционального опыта, но и способность быстро извлекать ассоциации из запаса этого опыта и осведомленности.
Концепты возникают в сознании человека не только как «намеки на возможные значения», «алгебраическое их выражение», но и как отклики на предшествующий языковой опыт человека в целом – поэтический, прозаический, научный, социальный, исторический и т.д.
Концепт не только подменяет собой значение слова и тем самым снимает разногласия, различия в понимании значения слова (чем облегчается общение), но в известной мере и расширяет значение, оставляя возможности для сотворчества, домысливания, «дофантазирования» и для эмоциональной ауры слова. С этой точки зрения, концепт – это не просто алгебраическое обозначение, не знак и не согнал. Концепты, являясь «посланиями» *(message), могут по-разному восприниматься адресатами. Правда, контекст, в котором доходит до адресата концепт, ограничивает эти возможности, что чрезвычайно важно в науке и в поэзии особенно.
Концепты, будучи в основном всеобщими, одновременно заключают в себе множество возможный отклонений и дополнений, но в пределах контекста. Концепт находится между богатыми возможностями, возникающими на основе его «заместительной функции», и ограничениями, определяемыми контекстом.
2
Итак, концепт тем богаче, чем богаче национальный, сословный, классовый, профессиональный, семейный и личный опыт человека, пользующегося концептом. В совокупности потенции, открываемые в словарном запасе отдельного человека, как и всего языка в целом, мы можем называть концептосферами.
Концептосфера национального языка тем богаче, чем богаче вся культура нации – её литература, фольклор, наука, изобразительное искусство (оно также имеет непосредственное отношение к языку и, следовательно, к национальной концептосфере), она соотносима со всем историческим опытом нации и религией особенно.
Отдельных вариантов концептосферы национального языка очень много, они по-разному группируются, по-разному себя проявляют.
Каждый концепт в сущности может быть по-разному расшифрован в зависимости от сиюминутного контекста и культурного опыта, культурной индивидуальности концептоносителя.
Между концептами существует связь, определяемая уровнем культуры человека, его принадлежностью к определенному сообществу людей, его индивидуальностью. Одна концептосфера может сочетаться с другой – скажем, концептосфера русского языка в целом, но в ней концептосфера инженера-практика, а в ней концептосфера семьи, а в ней индивидуальная концептосфера. Каждая из последующих концептосфер одновременно сужает предшествующую, но и расширяет ее.
Сравним, например, концепты таки слов русского языка, как «отчизна», «незнакомка», «варяг», «интеллигенция», «верба», «булат», «сцена», «блокада» и т.д. В потенциях каждого из значений этих слов будет сказываться личный опыт человека.
Основное в концепте «сцена» будет профессия: употребляет ли слово «сцена» актриса или обычный зритель, находящийся в театре (имеет значение и местонахождение). В концепте «незнакомка» имеет значение, читал ли данный человек Блока и в каком контексте употреблено это слово. В концепте «интеллигенция» огромное значение имеет то, как говорящий или пишущий о ней относится к «интеллигенции». Имеет значение, знает ли языконоситель о значении «вербы» в церковном быту и даже в торговом дореволюционном, ленинградец ли человек, произносящий слово «блокада». Какие поэтические произведения читал человек, слышащий и произносящий слово «булат» и т.п.
При этом надо иметь в виду, что своими концептами обладают не только отдельные слова, но и целые фразеологизмы, например «валаамова ослица», «тьма египетская», «демьянова уха», «преданья старины глубокой», «дистанция огромного размера» и т.д. Надо сказать, что в этих последних примерах концепт фразеологизмов как бы вытесняет даже значение фразеологизмов, занимает в языке большее место, чем значение.
То обстоятельство, что концепт скрывает за собой, позади себя всю сложность и все обилие словарного смысла, как ни парадоксально это звучит, облегчает общение с помощью языка, как облегчает алгебра арифметические действия.
Повторяю: концепт имеет смысл своего существования в «подстановочной» роли в языке.
Итак, в словарном запасе языка существуют четыре уровня:
1) сам словарный запас (включая фразеологизмы);
2) значения словарного типа, примерно так, как они определяются словарями;
3) концепты – некоторые подстановки значений, скрытые в тексте «заместители», некие «потенции» значении, облегчающие общение и тесно связанные с человеком и его национальным, культурным, профессиональным, возрастным и прочим опытом;
4) концепты отдельных значений слов, которые зависят друг от друга, составляют некие целостности и которые мы определяем как концептосферу.
Остановимся на последнем уровне подробнее. Концепты создаются не только в индивидуальном опыте человека, и не все люди в равной мере обладают способностью обогащать «концептосферу» национального языка. Особое значение в создании концептосферы принадлежит писателям (особенно поэтам), носителям фольклора, отдельным профессиям и сословия (особенно крестьянству). Поэтому, как кажется (этот вопрос требует ещё доработки), имеют концепты не только слова, но и фразеологизмы, являющиеся также заместителями, часто очень богатыми, отдельных понятий.
Нет смысла приводить примеры концептов, возникающих на основе фразеологизмов из «Горе от ума» Грибоедова, басен Крылова, пословиц, поговорок, песен и т.д.
В концептосферу входят даже названия произведений, которые через свои значения порождают концепты. Так, например, когда мы говорим «Обломов», мы можем, грубо говоря, разуметь три значения этого слова: либо название известного произведения Гончарова, либо героя этого произведения, либо определенный тип человека. И вот в зависимости от того, читали ли мы Гончарова, насколько глубоко и по-своему поняли его и сблизили со своим культурным опытом, все три концепта будут в пределах контекста различаться по смыслу и «потенциям». Тем не менее, для всякого человека слово «Обломов» говорит чрезвычайно много. В потенции в нашем сознании со словом «Обломов» возникает целый мир столичной и деревенской жизни, мир русского характера, сословных и возрастных особенностей и т.д.
Концептосфера русского языка, созданная писателями и фольклором, исключительно богата. Концептосфера языка – это в сущности концептосфера русской культуры.
В целом национальный язык – это не только средство общения, знаковая система для передачи сообщений. Национальный язык в потенции – как бы «заместитель» культуры, показатель богатства культуры.
3
Ощущение языка (а мы бы сказали, концептосферы русского языка) как своего рода концентрации духовного богатства, своего рода знамени духовного богатства, культуры в целом было в высшей степени свойственно особенно чутким к русскому языку поэтам.
Анна Ахматова так выразила свое ощущение от «Евгения Онегина»:
И было сердцу ничего не надо,
Когда пила я этот жгучий зной
«Онегина» воздушная громада,
Как облако, стояла надо мной.
Если перевести смысл этих строк на язык изложенных выше представлений о концептах, то понять эти строки следует так: «Евгений Онегин» заключает в себе такое богатство концептов всех сфер русского языка, а точнее русской словесно культуры, и что «сердце» Ахматовой – её эмоционально-ассоциативная память – всем этим переполнено. Ахматова называет то, что мы определили как «концептосферу», воздушной громадой; оно облаком стоит над ней, оно выше её. Сравнение концептосферы с облаком и воздушной громадой подчеркивает нереализованность до конца, некую «облачность» всей концептосферы «Евгения Онегина». Это действительно то, что другие (вероятно, имея в виду то же самое) называли «Онегина» энциклопедией русской жизни и русской культуры.
И в самом деле, если мы путём медленного чтения, обоснованного Л.В.Щербой, будем вникать в «Евгения Онегина», вскрывая все «потенции» его текста, то убедимся в необычайном богатстве концептосферы этого произведения, как бы концентрирующего литературную, фольклорную, «светскую» (усадебную и столичную) культуру России своего времени.
Русский язык действительно «жгуче знойный» по возбуждаемым им концептам. «Жгучего зноя» не может возбудить язык, склонный к обнажено понятийным и однозначным определениям, к терминологичности, удобный для науки, техники и для компьютеров, лишенный богатого человеческого, национального, исторического эмоционального опыта.
Характерно, что поэты, начавшие писать стихи на русском, больше всего благодаря богатству своей концептосферы приспособленному для поэзии своими потенциальными возможностями, не могут перейти на другой язык. Об этом говорил мне и Иосиф Бродский.
Он признал, что пишет отзывы, статьи, рецензии на английском, но не мыслит перейти на английский в поэзии: английский удобнее для науки, техники, математики, физики, прост для компьютеров, но, несмотря на богатый опыт в поэзии, труден для нее – во всяком случае, труднее русского.
Чтобы показать, насколько важно понятие концепта для понимания поэтических текстов, напомню строки из «Пророка» Пушкина, который приводит в своей работе «Концепт и слово» и Аскольдов:
И шестикрылый серафим
На перепутье мне явился.
Как понимать это «перепутье»? В «Словаре языка Пушкина» «перепутье» в стихотворении «Пророк» определенно как «место, где перекрещиваются или расходятся дороги». Однако такое толкование этого текста совершенно неприемлемо. В поэзии это конкретизация, которая может вызвать только недоумение. Почему серафим явился на «развилке дорог»? Каких и где?
Такое же значение указано как основное и в других словарях. В словаре С.Ожегова приводится и выражение «на перепутье» с обозначением «переносно»: «в нерешительности перед выбором чего-нибудь». К этому «переносному» значению можно сделать следующее примечание: здесь нет ничего «переносного» - значение «путь» как «жизненный путь» традиционно вошло не только в систему русского языка, но и в систему русского поэтического мышления. В стихотворении Пушкина «Пророк» Имеется в виду перепутье жизненное, и здесь перед нами целый концепт, в которые входят представления Пушкина о своей жизни в момент явления ему серафима; возможно, отождествляя себя с паломником, странником, Пушкин говорил о своих жизненный сомнениях, сомнениях мировоззренческих. Кроме того, не следует забывать, что слово «перепутье» по сходству ассоциируется с «путаницей» (ср. «Бесы», «Стихи, сочиненные во время бессонницы» и пр.) Но больше всего для понимания концепта «перепутье» дает цикл «Подражания Корану», в котором тема пророка перекрещивается с темой путника, особенно в последнем стихотворении, где «путник усталый» ропщущий на Бога, обращается к Богу и совершается «чудо» - путник вновь молодеет. Эта же тема у Пушкина сочетается с темой пророчества об обращении к Богу всей страны после её грядущего падения:
Но дважды ангел вострубит,
На землю гром небесный грянет,
И брат от брата побежит,
И сын от матери отпрянет.
И все пред Бога притекут,
Обезображенные страхом;
И нечестивые падут,
Покрыты пламенем и прахом.
Таким образом, рассмотрение концепта слова «перепутье» дает нам возможность глубже понять значение стихотворения Пушкина «Пророк» и связать его с личными переживаниями Пушкина, что может быть подкреплено другими документами и соображениями.
Под пророком Пушкин разумеет не какого-то абстрактного пророка вообще, а самого себя, перелом, происшедший с ним, возвращение его к Богу и осознание своей высшей роли.
4
Богатство русского языка определяется на всех четырех уровнях:
1) на уровне самого запаса слов, который чрезвычайно богат благодаря тысячелетнему опыту, тесному общению с тем языком, который принято называть церковнославянским, обширности территорий с различными условиями существования и общения с другими народами, обусловившими в своей совокупности разнообразие диалектное, социальное, сословное, образовательное и пр.
2) на уровне богатства значений и нюансов значений, разнообразия словоупотребления и пр.
3) на уровне отдельных концептов;
4) на уровне совокупностей концептов – концептосфер.
Главное богатство словаря русского языка лежит на уровне концептов и концептосферы.
Это не противоречит тому положению, что все четыре уровня различны по своей стабильности. Наиболее стабилен первый слой – слой словарного запаса. Менее стабилен слой значений: значение большинства слов приходится исследовать, уделяя некоторое внимание сверх языка носителю языка – человеку, пользующемуся языком. Совсем мало стабилен, чрезвычайно изменчив слой концептов, ибо он крайне зависим от носителя языка, как мы уже указывали. Вместе с тем концепты составляют очень разнообразные сферы, в совокупности создающие концептосферы национального языка.
При этом изучать всю сферу концептов (или, иначе, «концептосферу» национального языка), то тут оказывается необычайное богатство и теснейшая связь с культурой народа – с литературой и устным народным творчеством в первую очередь.
5
Итак, богатство языка определяется не только богатством «словарного запаса» и грамматическими возможностями, но и богатством концептуального мира, концептуальной сферы, носителями которой является язык человека и его нации.
Концептуальная сфера, в которой живёт любой национальный язык, постоянно обогащается, если есть достойная его литература и культурный опыт. Она трудно поддается сокращению, и только в тех случаях, когда пропадает культурная память в широком смысле этого слова.
В частности, бывают чрезвычайные обстоятельства, при которых концептосфера языка может резко сократиться. Такое чрезвычайное обстоятельство имело место в 1918 г., когда декретами советской власти было отменено преподавание церковнославянского языка и Закона Божия. Постоянное обращение к молитвам, к богослужебным текстам, и особенно к Псалтыри, к текстам на церковнославянском языке на протяжении тысячелетия служило важнейшим источником обогащения концептосферы русского языка. Церковнославянские слова, выражения и формы слов служили не только расширению русского литературного языка и просторечия, но и вносили оценочный элемент в мышление.
Несмотря на утраты, которые понес русский язык в результате отмены изучения церковнославянского языка и богослужебных текстов, а также в связи с переходом на новую орфографию, русский язык остается богатейшим выразителем русской культуры, а также в известном отношении мировой: укажу хотя бы на фразеологизмы, проникшие в русский язык из Шекспира, Данте, Цицерона и пр., на философскую, научную общемировую терминологию.
6
Термин «концептосфера» вводится мною по типу терминов В.И.Вернадского: ноосфера, биосфера и пр.
Понятие концептосферы особенно важно тем, что оно помогает понять, почему язык является не просто способом общения, но неким концентратом культуры – культуры нации и её воплощения в разных слоях населения вплоть до отдельной личности.
Язык нации является сам по себе сжатым, если хотите, алгебраическим выражением всей культуры нации.
Уже самый поверхностный взгляд на концептосферу русского языка демонстрирует исключительное богатство и многообразие русской культуры, созданной за тысячелетие в разных сферах русской культуры и на огромном пространстве и в различных соотношениях с культурами других народов (через язык, искусство и пр.).
Учитывая все это, мы можем понять, почему И.С.Тургенев интуитивно связывал судьбу русского языка с судьбой русского народа: действительно, язык в потенциальной форме его концептов – воплощение всей культуры народа. Убить культуру народа, воплощенную в памяти языка, конечно, нельзя.
Свои размышления над проблемой концепосферы я отнюдь не считаю законченными. Попытаюсь в дальнейших работах продолжить некоторые из тем, намеченных в данном разделе.
Если концепт является условной «алгебраической подстановкой значения слова или выражения, сокращающей мыслительный процесс пользующегося этой подстановкой, то концептосфера национального языка в целом является в известной мере «алгебраической» подстановкой всего культурного опыта нации, и в этом отношении можно говорить о национальном языке как о показателе культуры нации в целом.
Концептосфера какого-либо национального языка есть “catalogue raisonne” всего умственного духовного богатства нации. По концептосфере национального языка мы можем судить о культуре нации.
Е.А. Котомцева
ФОНОСЕМАНТИЧЕСКИЕ СПОСОБЫ ВЫРАЖЕНИЯ ПЕЙОРАТИВНОСТИ В МЕЖДОМЕТИЯХ (НА МАТЕРИАЛЕ РУССКОГО И АНГЛИЙСКОГО ЯЗЫКОВ)
[ext[ссылка|http://vestnik.pstu.ru/get/_res/fs/file.pdf/8027/%D4%CE%CD%CE%D1%C5%CC%C0%CD%D2%C8%D7%C5%D1%CA%C8%C5+%D1%CF%CE%D1%CE%C1%DB+%C2%DB%D0%C0%C6%C5%CD%C8%DF++%CF%C5%C9%CE%D0%C0%D2%C8%C2%CD%CE%D1%D2%C8+%C2+%CC%C5%C6%C4%CE%CC%C5%D2%C8%DF%D5+++%28%CD%C0+%CC%C0%D2%C5%D0%C8%C0%CB%C5+%D0%D3%D1%D1%CA%CE%C3%CE+%C8+%C0%CD%C3%CB%C8%C9%D1%CA%CE%C3%CE+%DF%C7%DB%CA%CE%C2%29file.pdf]]
[img[primeroformtab.png]]
[[Крайникова М.Н.]]
Крайникова М.Н. [[Контактоустанавливающие единицы языка как средство развития языковой личности учащегося]]
В диссертации М.Н. [[Крайниковой|Крайникова]] [15] исследуются структуры (контактоустанавливающие единицы) языка влияющих на развитие языковой личности.
# Крайникова М.Н. Контактоустанавливающие единицы языка как средство развития языковой личности учащегося : автореф. дис. … канд. пед. наук. – Н. Новгород, 2005. – 28 с.
уровень школа
КОНТАКТОУСТАНАВЛИВАЮЩИЕ ЕДИНИЦЫ ЯЗЫКА КАК СРЕДСТВО РАЗВИТИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ УЧАЩЕГОСЯ Крайникова М.Н. диссертация на соискание ученой степени кандидата педагогических наук / Нижний Новгород, 2005 13.00.02
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=834883]]
[ext[ссылка|https://new-disser.ru/_avtoreferats/01002770638.pdf]]
1.4. Полевая структура контактоустанавливающих средств русского языка.
Концепция функционально-семантических полей (А. В. Бондарко) опре-делила полевый подход для описания контактоустанавливающих единиц языка.В своей основе данная концепция морфолого-центрическая. Описание семанти-ческого поля языковых средств контактоустановления строится на следующихпонятиях: определённость/ неопределённость, понимаемые как выделение объ-екта (класса объектов) из класса (множества классов) объектов. Такая трактовкаопределённости/ неопределённости в настоящее время разделяется многимиучёными (Е. В Падучева, О. Н. Селиверстова, Н. Ю. Шведова и др.). Семантическим центром данного поля является фатичность, которая в работе понимает-ся как предиктабельность последующей связи с коммуникантами или с последующими частями высказывания. Конституенты при этом являются средства-ми фатического плана и устанавливают, таким образом, контакт между людьмии / или речевыми высказываниями.
стр 13
Доминантой поля является местоимение как класс слов, противостоящийдругим классам слов по функции и своему строению. Местоимения формиру-ют полицентрическое поле, составляющие которого в равной степени выража-ют фатическую функцию как при устном общении, так и в письменной речи.Для рассмотрения языковых средств контактоустановления в исследовании вы-делено два микрополя: поле, включающее языковые средства, цель которых -установление контакта между собеседниками (стереотипные средства, вопроси-тельные предложения, повествовательные со значением деликатности, побуди-тельные, широкозначные имена существительные, дейктические глаголы, мо-дальные, наречия, частицы, междометия, союзы, вводные слова, фразеологиче-ские единицы, порядок слов, части сложного предложения, суперсегментныесредства, глаголы с абстрактными существительными с предлогом). Второемикрополе представляет собой группу языковых средств, благоприятствующихи не благоприятствующих общению. В него входят: средства, выражающие на-личие или отсутствие заинтересованности, наличие возможности, способности
стр13
или невозможности, неспособности, положительного эмоционального отноше-ния или его отсутствия, выражающие отсутствие или наличие страха перед не-желательными последствиями, наличие или отсутствие усилий для преодоле-ния препятствий.
стр 14
21.05.2019 Краснопеева Татьяна Олеговна Обучение иностранному языку студентов вуза на основе психометрического анализа и индивидуальных иноязычных образовательных траекторий 13.00.02
[ext[ссылка dis|https://lunn.ru/media/upr_NIR/dis_sov/02/Krasnopeeva/dissertaciya_krasnopeeva.pdf]]
По словам А.А.Миролюбова, существует «по меньшей мере, два теоретических конструкта, раскрывающих механизм владения и овладения языком» [ext[ [45]|http://csl.isc.irk.ru/BD/Ucheb/%D0%9C%D0%B5%D1%82%D0%BE%D0%B4%D0%B8%D0%BA%D0%B0%20%D0%BE%D0%B1%D1%83%D1%87%D0%B5%D0%BD%D0%B8%D1%8F%20%D0%B8%D0%BD%20%D1%8F%D0%B7%20%D0%9C%D0%B8%D1%80%D0%BE%D0%BB%D1%8E%D0%B1%D0%BE%D0%B2%202010.pdf]]-это «коммуникативная компетенция» и «языковая личность» (Караулов Ю.Н.) (в случае с неродным языком «вторичная языковая личность» (Халеева И.И.). Для того, чтобы достичь реализации данных конструктов на практике обучающийся должен осознать «способы выражения мыслии на этой основе овладеть элементами общения» [Там же]. Однако, обучающийся может запомнить ряд правил или набор слов, при этом
[[kto_dis_s16_4]]
Первый теоретический конструкт, на который можно опираться при определении результатов обучения иностранному языку –это создание «языковой личности». По Ю.Н. Караулову, языковая личность –это «совокупность способностей и характеристик человека, обуславливающих создание и восприятие им речевых произведений, которые различаются степенью структурно-языковой сложности, глубиной и точностью отражения действительности, определенной целевой направленностью»[35].Вструктуре языковой личности выделяют три уровня:
*вербально-семантический;
*когнитивно-тезаурусный;
*мотивационно-прагматический[17].
[[kto_dis_s17_2]]
Проектирование креативной образовательной среды на основе информационных технологий в вузе
[ext[ссылка НЭБ|https://rusneb.ru/catalog/000199_000009_002606658/]]
[ext[ссылка НЭБ|https://viewer.rusneb.ru/ru/000199_000009_002606658?page=1&rotate=0&theme=white]]
[ext[ссылка в E/Dis|file:///E:/Dis/Dis15]]
[ext[ссылка|https://rusneb.ru/catalog/000199_000009_002606658/]]
[[Кубиц Г.В.]] Профессионализация языковой личности
[ext[ссылка НЭБ|https://viewer.rusneb.ru/ru/000199_000009_002749472?page=1&rotate=0&theme=white]]
[ext[ссылка в Dis5|file:///E:/Dis/Dis5]]
[ext[ссылка 1|http://cheloveknauka.com/v/129206/a#?page=1]]
[ext[ссылка 2|http://cheloveknauka.com/professionalizatsiya-yazykovoy-lichnosti]]
Диссертация [ext[ссылка в Dis5|file:///C:\Users\nsa\Documents\Dis5]]
Полный текст автореферата диссертации по теме "Профессионализация языковой личности"
На правах рукописи
КУБИЦ Галина Васильевна
ПРОФЕССИОНАЛИЗАЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ (на примере юридического дискурса)
Специальность 10.02.19 - теория языка
АВТОРЕФЕРАТ диссертации на соискание ученой степени кандидата филологических наук
У
Челябинск - 2005
Работа выполнена на кафедре теории языка государственного образовательного учреждения высшего профессионального образования «Челябинский государственный университет».
Научный руководитель: доктор филологических наук, профессор
Шкатова Людмила Александровна
Официальные оппоненты: доктор филологических наук, профессор
Харченко Елена Владимировна кандидат филологических наук, доцент Голощапова Татьяна Геннадьевна
Ведущая организация: Уральская государственная юридическая
академия
Защита состоится 20 июня в 10 часов на заседании диссертационного совета Д 212.296.05 по защите диссертаций на соискание ученой степени доктора филологических наук в Челябинском государственном университете по адресу: 454021 г. Челябинск, ул. Братьев Кашириных, 129, конференц-зал.
С диссертацией можно ознакомиться в научной библиотеке Челябинского государственного университета.
Автореферат разослан 19 мая 2005 года.
Ученый секретарь диссертационного совета кандидат филологических наук, л
Доцент Е.И. Голованова
В настоящее время предметом многих отраслей научною знания становится человек, его сознание, способы интерпретации мира. Особое место в современных лингвистических исследования* отводится языковой личности, но ряд проблем до сих пор не получил своего разрешения, в частности, вопросы, связаннее со спецификой профессиональной составляющей языковой личности.
Данная работа выполнена в русле междисциплинарного подхода к изучению языковых явлений. Помимо собственно лингвистических, были использованы данные в области психологии, когнито-логии, психолингвистики, социолингвистики, юриспруденции, юрис-лингвистики. Теоретической базой диссертации гослужили труды Г.И. Богина, И.Р. Гальперина, Н.Д. Голева, Т.В. Губаевой, A.A. Залевской, И.А. Зимней, Н.И. Ивакиной, В.И. Карасика, Ю Н. Ка-раулова, В.В. Красных, Е.С. Кубряковой, A.A. Леонтьева, C.J1. Миш-лановой, К.Ф. Седова, Ю.А. Сорокина, И.А. Стернина, Е.Ф. Тарасова, Н.В. Уфимцевой и др.
Исследование осуществлялось на базе разработок Челябинской академической лаборатории межкультурных коммуникаций с опорой на фундаментальные работы Л.А. Шкатовой, Е.В. Харченко, Е.И. Головановой.
Непрекращающийся интерес к языковой личности и стремление рассматривать ее как личность деятельностн;то подтверждает актуальность нашего исследования, посвященного динамике процесса профессионализации языковой личности юриста.
Объектом изучения выступают специальные тексты и используемые в них языковые средства, отражающие изменения в языковом сознании специалиста в процессе приобретения им коммуникативной компетентности.
Предметом исследования является динамика формирования языковой личности специалиста.
Цель работы - выявление особенностей профессионализации языковой личности, представленных в юридическом дискурсе.
Профессиональная языковая личность в настоящей работе рассмотрена на примере специалиста-юриста, владеощего юридическим дискурсом, то есть совокупностью текстов, организованных определенным образом и отражающих профессиональную картину
мира.
Цель исследования определяет постановку следующих задач:
1) проанализировать особенности становления профессиональной языковой личности на примере языковой личности юриста;
2) выявить основные этапы профессионализации языковой личности юриста;
3) установить закономерности формирования и развития языкового сознания специалиста на разных этапах профессионализации;
4) экспериментально подтвердить формирование языкового сознания юриста;
5) описать специфику юридического дискурса.
Для решения поставленных задач применялся комплекс методов: социолингвистический, контекстологический, использовались методы описательного и сопоставительного анализа, а также ассоциативный эксперимент.
Материалом диссертационного исследования послужили аудио-и видеозаписи лекций преподавателей юридических дисциплин Южно-Уральского государственного университета (10 текстов общим объемом более 4 часов звучания); записи устных выступлений студентов-выпускников юридического факультета ЮУрГУ в ходе защиты дипломных работ, записи речи аспирантов юридических специальностей во время защиты диссертаций (110 текстов общим объемом более 7 часов звучания); записи судебной речи на открытых судебных процессах суда общей юрисдикции (3 судебных процесса общим объемом более 6 часов звучания); юридические тексты: статьи Гражданского кодекса Российской Федерации, Уголовного кодекса Российской Федерации, а также фрагменты художественных текстов (А. Маринина «Мужские игры», А. Панин «Ловкач», М. Галкин «Милиция и беспредел»).
На защиту выносятся следующие положения:
1. Важным фактором, определяющим структуру языковой личности, является коммуникативно-профессиональная среда, в которой осуществляется жизнедеятельность специалиста.
2. Профессионализация языковой личности обусловлена образованием, профессиональным опытом и психологической установкой будущего специалиста.
3. Профессионализация языковой личности начинается с первых шагов знакомства со специальностью и продолжается в течение трудовой деятельности.
4. Сформированное профессиональное языксвое сознание находит свое воплощение в коммуникативной компетентности специалиста.
5. «Погружение» в профессиональную среду способствует развитию специальных речевых навыков языковой личности, правового мышления, что выражается в речевых действиях.
Теоретическое значение данной работы заключается в том, что она вносит определенный вклад в теорию языка (в исследование языкового сознания), а также помогает определить общие и специфические черты профессиональной языковой личности.
Научная новизна работы заключается в следующем:
впервые рассмотрен процесс профессионализации языковой личности и осуществлено описание динамики профессионализации языковой личности юриста;
впервые рассмотрено речевое воздействие языковой личности юриста на формирование обыденно-массового сознания индивида, а также обосновано влияние языкового сознания профессионалов-юристов на массовое правовое сознание россиян.
Практическая значимость исследования состоит в том, что его теоретические положения и практические результаты могут быть использованы в лекционных курсах по общему языкознанию, социолингвистике, психолингвистике, социальной психологии, в спецкурсах по введению в специальность, культуре речи юриста, а также при разработке отдельных аспектов линг юстилисти ческой интерпретации текста и при решении задач формирования вторичной языковой личности.
Структура работы. Диссертация состоит 1-3 введения, двух глав, заключения, списка использованной литературы и приложения (текстовое представление аудио- и видеозаписей).
ОСНОВНОЕ СОДЕРЖАНИЕ РАБОТЫ
Во введении обосновывается актуальность темы диссертации, определяется цель, задачи и методы исследования, описывается материал исследования, раскрывается научная новизна, теоретическая и практическая значимость работы, формулируются положения, выносимые на защиту.
В первой главе «Языковая личность юриста как профессионального коммуникатора» обобщены результаты изучения проблем языковой личности в работах лингвистов, психологов.
Первый раздел этой главы посвящен рассмотрению теоретических предпосылок изучения языковой личности. Анализируются взгляды ученых на язык и личность (И.А. Бодуэн де Куртенэ, В. Вундт, JI.B. Щерба, A.A. Леонтьев, A.M. Шахнарович и др.), рассматриваются современные научные концепции, касающиеся языковой личности.
Подробное описание языковой личности представлено в работах Ю.Н. Караулова. Он дает психологическую трактовку личности как «относительно стабильной организации мотивационных предрасположений, возникающих в процессе деятельности и взаимодействия между биологическими побуждениями и физическими окружениями, условиями» [Караулов 1987].
Поскольку концепция языковой личности в изложении Ю.Н. Караулова получила наибольшее признание в лингвистике, мы используем ее в качестве базовой в нашей работе.
Вслед за Ю.Н. Карауловым под языковой личностью понимаем человека - носителя языка, способного к речевой деятельности, которая позволяет ему производить и понимать речевые произведения.
Во втором разделе дается характеристика составляющих языковой личности юриста.
Языковая личность юриста определяется нами как коммуни-кативно-деятельностная личность со своей профессиональной картиной мира, обладающая совокупностью профессиональных языковых черт, владеющая специальным языком и необходимым профессиональным запасом дискурсивных способностей.
Особое внимание уделено профессиональные слагаемым языковой личности юриста, к которым мы относим:
интеллектуально-мыслительные (общие профессиональные знания, способность решения мыслительных задач - как типовых, так и нестандартных);
коммуникативные (способность проведения бесед, диалогов, усвоение навыков публичных выступлений);
мировоззренческие (общепринятые социальные ценности); правовое сознание (отношение к праву, зако^, к государству, этические и моральные нормы);
языковое сознание (особое мировидение, которое находит свое отражение в языке и речи).
Исходя из того, что язык включен в сложнейшую систему познания мира человеком и взаимодействует с мышлением, памятью, сознанием, в нем формируется целостная картина мира, а значит, и языковая картина мира, которая и предопределяв! поведение человека, в том числе коммуникативное. Языковая картина мира в процессе жизнедеятельности постоянно дополняется, модифицируется. Благодаря разнообразным системам общения складывается профессиональная модель мира. Язык отражает окружающий мир, формирует человека, определяет его поведение, образ жизни, мировоззрение.
Характерной чертой языковой личности юриста является использование специальной лексики. Специальная лексика, включающая в себя в том числе и оценочные понятия, воспринимается неспециалистами в области права как оценочная, в «¡язи с чем затрудняется понимание той или иной статьи закона или любого другого юридического текста. Это в первую очередь связано с применением многозначных слов, требующих уточнения. Такая специальная лексика, входящая в законодательные акты, в связи с неоднозначностью ее восприятия вводит в заблуждение правоприменителя, а иногда находится в логическом противоречии с другими предписаниями закона и поэтому нуждается в пояснении.
Другой отличительной чертой языковой личности юриста является умение интерпретировать юридические тексты, что необходимо профессионалу для создания правового поля неспециалистов.
В третьем разделе дается характеристика юридического дискурса, трактуемого нами на основе общетеоретического понятия
«дискурс». Здесь рассматриваются основные положения теории дискурса, разработанные Н.Д. Арутюновой, Т.А. ван Дейком, В.В. Красных, Е.С. Кубряковой, M.JI. Макаровым, H.H. Мироновой, К.Ф. Седовым и другими известными исследователями.
Под юридическим дискурсом мы понимаем совокупность юридических текстов (устных или письменных), отражающих намерения специалиста и оперирующих специальными понятиями, применяемыми в пределах профессиональной сферы.
Юридический дискурс реализуется в определенной языковой ситуации (при порождении юридических текстов) и предполагает реальное восприятие его адресатом. Юридическому дискурсу соответствует специальный язык. Специальный язык носит профессионально ориентированный характер, его задачей является осуществление коммуникативных и познавательных потребностей специалистов соответствующего профиля. Специфика общения юриста как профессиональной языковой личности заключается в том, что сфера его деятельности обслуживается специальным языком - языком профессиональной коммуникации, отличным от языка обыденного общения [Голованова 2004].
Находясь на позиции определения юридического языка как специального, можно утверждать, что такие языки различаются рядом специфических черт. «Специальная тематика, специальные цели беседы побуждают специалистов переходить на профессиональный язык, который в меньшей степени связан с национальной принадлежностью его носителей и не должен зависеть от общественно-экономической формации, идеологии, мировоззрения» [Граудина 1998].
Любой юридический дискурс представлен текстами, в связи с чем в работе рассматриваются особенности юридических текстов как результата профессиональной деятельности языковой личности юриста.
Юридический текст - это профессиональный текст, его главной характеристикой выступает коммуникативно-функциональный аспект (т.е. текст служит средством передачи и хранения информации и средством воздействия на личность - получателя информации). Основными чертами юридического текста являются правовое содержание, особая форма выражения права, наличие специальных понятий и терминов, речевых стандартов-клише, а также его долженствующий характер (в постановлениях, законах, решениях, определениях).
Важную роль в юридическом тексте выполняет специальная терминология. Н. Н. Ивакина дает следующее определение юридического термина: «слово или словосочетание, имеющее юридическое значение, выражающее правовое понятие, применяемое в про-■ цессе познания и освоения явлений действительности с точки зре-
ния права» [Ивакина 1997].
Особенность юридической терминологии проявляется в том, <. что она обладает правовым содержанием, которое понятно далеко
не всем. В то же время с такой терминологией имеют дело не только специалисты, но и индивиды, далекие от юриспруденции.
Исследование терминов, проведенное нами на материале статей Гражданского кодекса Российской Федерации, позволило сделать вывод: при создании специального текста (нормативного акта) профессиональная языковая личность (юрист-законодатель) должна стремиться к однозначности и доступности в восприятии применяемого термина, иначе специальная терминология не будет выполнять функцию обозначения социального понятия, например: ... гарант должен рассмотреть требование бенефициара с приложенными к нему документами в разумный срок и проявить разумную заботливость, чтобы установить, соответствуют ли требование и приложенные к нему документы условиям гарантии (ст. 375 п.2. ГК РФ). Для дилетанта данный пример нуждается в пояснении специалистом-юристом. Таким образом, однозначность термина заключается не в единственном его значении, а в одинаковом восприятии и единообразном толковании его всеми адресатами в пределах одной отрасли права.
Вторая глава «Динамика профессионализации языкового сознания юриста» посвящена исследованию языкового сознания специалиста-юриста. , В первом разделе показано соотношение профессионального и
массового сознания. Одним из видов сознания является правовое сознание индивида, включающее в себя правовую информирован, ность, являющуюся действенным инструментом языковой личности юриста в вопросах расширения правового поля в общественно-массовом сознании.
В правовом сознании личности выделяются такие уровни, как обыденный, научный (теоретический), профессиональный (практический) [Соколов 1988]. Уровень правового сознания индивида за-
висит от образования и неразрывно связан с правовой информированностью личности, помогает в познании любой правовой нормы, в раскрытии понимания ее смысла.
Под профессионализацией языковой личности мы понимаем процесс формирования профессионального языкового сознания личности, которое связано с полным и совершенным овладением профессиональным языком. Таким образом, языковое сознание профессионала тесным образом ассоциируется с видением мира (в нашем случае - юридическим миром). Речевые навыки профессионала при этом развиваются и совершенствуются постепенно, выделяются определенные периоды овладения функциями и формами языка. Овладение профессиональным языком происходит в процессе приобщения к профессиональной деятельности.
Для сравнения языкового сознания дилетантов (не являющихся специалистами в данной области науки) и будущих профессионалов мы провели следующий эксперимент. Сформировали две группы испытуемых: 1) учащиеся 11-го класса средней школы (дилетанты) и 2) студенты 3-го курса заочного отделения юридического факультета (работающие в должности помощника юриста). Каждой группе был зачитан юридический текст, который они должны были интерпретировать.
При обработке материалов эксперимента обнаружилось, что испытуемые первой группы затруднялись в осмыслении и воспроизведении специального юридического текста. Это выразилось в неверном толковании специальной терминологии (82%) учащихся: вместо «доверительный управляющий» - «доверенное лицо» (76%), «собственность - это принадлежащая человеку вещь или земля» (21%). Смысл исследуемого текста у первой группы испытуемых сводился к обиходному представлению явлений и интерпретировался на уровне обыденного толкования, например: «он может заниматься тем, что ему заблагорассудится»; «также не может передавать этим людям имущество по наследству»; «имеет право передавать свое имущество достойному или близкому человеку (родственник, хороший друг)»', «собственник может делать все, что захочет» и т.д. Своеобразная интерпретация испытуемыми юридических текстов позволила сделать вывод о том, что у первой группы отсутствует профессиональная языковая база знаний, целевая установка на ее усвоение, а также профессиональный опыт.
Вторая группа верно в языковом выражении интерпретировала данный текст, например: «собственник имеет право пользования, владения и распоряжения своим имуществом»; «собственник вправе совершать со своим имуществом любые действия, не запрещенные законами и другими нормативными правовыми актами, не противоречащие законным интересам...»; «владение и распоряжение природными ресурсами и землей осуществляется собственником в такой мере, которая оговорена ст. 129 ГК РФ, но если это не наносит ущерба окружающей среде».
Проведенный эксперимент подтвердил нашу мысль о том, что у профессионалов сознание концентрирует внимание на главном в потоке информации, в связи с чем наблюдается точное понимание и языковое воспроизведение предложенного текста, свободное владение юридической терминологией.
Следующий этап нашей работы заключался в исследовании языкового сознания студентов, ориентированных на юридическую специальность. Для этого мы провели ассоциативный эксперимент, в котором преследовали цель: выявить особенности изменения ассоциаций на заданный стимул в структуре сознания.
В эксперименте были задействованы две группы испытуемых: 1) учащиеся 1-го курса юридического колледжа г. Челябинска -14 чел. (мы их отнесли к дилетантам, так как эта группа испытуемых имеет неполное среднее образование и в период эксперимента у них не преподавались специальные юридические дисциплины); 2) студенты 3-го курса дневного отделения юридического факультета ЮУрГУ - 20 чел.
Для изучения языкового сознания юристов мы выбрали слова-стимулы, связанные с юридической профессией. Работа испытуемых заключалась в записи слова, пришедшего в голову в ответ на предъявленное экспериментатором слово-стимул. Стимульный материал представлен 20 единицами: суд, прокурор, собственность, истец, наказание, судебное решение, государство, закон, сделка, правоотношение, иск, норма права, правопорядок, ответчик, приговор, договор, право, правовое государство, гражданско-правовая ответственность, кредитор.
Исследование словесных ассоциаций позволило нам проследить степень усвоения права и выявить тот образ мира, который складывается у индивида в результате его взаимодействия с субъек-
тами и объектами правовой деятельности, а в связи с этим его языковое сознание. Реакции-ассоциаты, полученные на 20 слов-стимулов в ходе эксперимента, демонстрируют несовпадение представлений испытуемых. Наиболее частотная реакция у испытуемых первой группы на юридические термины - понимание их на обыденном уровне (например: «суд - организация, инстанция», «прокурор - человек», «государство - организация, общество», «закон -свод правил, постановление», «наказание - метод исправления» и т.д.). Таким образом, результаты эксперимента показали, что ассоциативные связи лежат в основе мышления, зависят от творческого воображения, возраста, образовательного уровня, интеллекта, социального статуса. В то же время выявлено, что испытуемые связывают свое понимание специальной лексики с правом, отмечается их стремление сформулировать мысль, осознать предложенный термин. Значит, уже определяется целевая установка на освоение выбранной профессии, начинает формироваться языковое сознание.
В ходе обработки результатов эксперимента выявлено, что испытуемые второй группы чаще дают одинаковые реакции, например: «прокурор — должностное лицо (12)», «договор — соглашение (9)», «суд - орган, осуществляющий правосудие (13)» «норма права - правило поведения (10)», «государство - особая система органов (11)». Это подтверждает наше предположение о стереотипизации мышления, а значит, и о динамике языкового сознания в период обучения.
Языковое сознание юриста отражает образ мира и неразрывно связано со спецификой профессиональной деятельности личности -коммуникативной деятельностью. Профессиональное языковое сознание формируется через особый профессиональный образ мира и зависит, как пишет Е.В. Харченко, «...не столько от времени работы, сколько от заинтересованности, вовлеченности, нацеленности на профессионализм ...» [Харченко 2003].
Формирование языкового сознания профессионала происходит постепенно. Профессиональная речь, которую используют обучающиеся юридической профессии, служит для передачи специального содержания и развивает личность в профессиональном направлении, выступает основой профессиональной деятельности юриста. Выбирая специальность, индивид имеет целевую установку на приобретение профессиональных знаний, то есть у него существуют необходимые предпосылки для последующей профессионализации.
Проведенные эксперименты показали, что коммуникативная компетентность формируется тогда, когда происходит осознание профессионального языка. Это способствует глубокому пониманию и прочному усвоению специальных дисциплин. Профессионализация языкового сознания осуществляется через «потружение» в профессиональный мир, т.е. путем создания оптимальных условий для специфичной профессиональной деятельности.
Будущий профессионал вбирает в себя комплекс знаний, умений, навыков, что впоследствии помогает индивид) порождать, воспринимать и понимать юридические тексты, обрабатывать их составляющие в мыслительных процессах. Значит, профессиональная коммуникативная компетентность - это свободное владение специальным языком и профессиональной терминологией.
Любое языковое взаимодействие юриста с дилетантом предполагает наличие у специалиста таких качеств, как профессиональное слушание, эффективное общение, речевое воздействие. Коммуникативная компетентность является основным показателем профессионализации специалиста-юриста.
Во втором разделе описываются этапы формирования языкового сознания специалиста.
«Погружение» студентов в специальную профессиональную языковую среду закладывает основы коммуникативной компетенции и формирует языковую личность будущего специалиста, что является надежным фундаментом для достижения щюфессиональных целей. Это предполагает развитие у студентов языковых способностей, навыков и умений, появление профессионалыых качеств, развитие коммуникативных способностей и положительного мотива-ционного отношения к овладению профессиональным языком.
На начальном этапе формирования профессионального сознания основным является уровень личностного языкового развития и уровень сформированное™ образа будущей профессии.
Этап становления правового сознания специалиста характеризуется приобщением студентов к профессиональной картине мира в процессе коммуникации с юристами, преподавателями и практическими работниками, а также «погружение» в профессиональную среду. При этом происходит накопление профессионального словарного запаса.
Профессиональное языковое сознание юриста проявляется в процессе профессиональной деятельности специалиста. При этом языковое сознание обобщает языковую действительность, а это не что иное, как перевод языка в речь и использование его в качестве инструмента для передачи какой-либо информации и воздействия на адресата.
Исследуя начальный этап формирования профессионального сознания, мы провели свободный ассоциативный эксперимент. Его целью было выявление ориентированности студентов на выбранную специальность. В эксперименте приняли участие студенты 1 -го курса экономического и юридического факультета, (всего 218 чел.). Испытуемые были распределены на две группы, в зависимости от специальности. В качестве стимулов были взяты общеупотребительные слова и слова-термины. Эксперимент был задуман таким образом, что юридические термины были даны экономистам, а юристам предложены экономические.
После зачтения слов-стимулов испытуемым было предложено записать свои первые ассоциации, возникшие на каждое слово. Юристам были даны следующие слова: дом, ревизия, заклад, квота, клиринг, деньги, тантьема, солнце, сконто, комната, дуополия, дорога, лодинг, часы, куртаж, телефон, девальвация, тропинка, сто, налог. Слова-стимулы для экономистов: закон, цессия, дом, дееспособность, комната, эмитент, деньги, надел, солнце, наказание, наймодатель, дорога, часы, мошенничество, телефон, нотариус, тропинка, стол, полномочие, квитанция.
При обработке ответов выявлено, что совпали реакции на общеупотребительные слова-стимулы {стол, телефон, комната и др.) независимо от возраста и выбранной специальности. Например, слово дом ассоциировалось участниками эксперимента (юристами и экономистами) в 90% как уют, домашний очаг, семья, только в 7% -как строение и лишь 3% - как собственность (считаем, что это определение дается уже с точки зрения профессионального восприятия), слово квитанция 70% участников (экономистов) определили как оплата чего-то, 25% - чек, 5% - бумага, бланк, листок. Данные общеупотребительные слова воспринимались участниками эксперимента через действие, образ.
Сложнее обстояло дело с пониманием незнакомых профессиональных слов. Анализируя блок слов, данных экономистам, мы ус-
тановили, что лишь 10% участников указали, что слово эмитент связано с ценными бумагами, 60% испытуемых не ответили вообще, 10% участников дали следующее определение: «учреждение, выпускающее в обращение денежные знаки и ценные бумаги» (17%), остальные 3% участников эксперимента затруднились с ответом. Термин цессия ассоциировался испытуемыми по аналогии звучания со словами сессия, экзамен, 40% ответили - «сда^а зачетов», 60% участников не дали ответа. Непонимание термина (нет образа, нет восприятия через действие) привело к отказу от ответа.
Юристы восприняли экономические термины следующим образом: термин ревизия 70% объяснили как проверка, 20% как учет, 10% не дали ответа, термин заклад 65 % истолковали как залог имущества в долг, 35 % - не ответили; остальные семь слов остались без ответа.
Полагаем, что различие в ассоциациях значительной группы слов происходит в результате несформированности особого профессионального образа мира, неовладения терминологической базой и зависит от интеллекта индивида. Проведенный эксперимент подтвердил нашу мысль о том, что языковое сознание неспециалистов ограничивается обиходным представлением о явлеьиях, предметах.
Чтобы выявить динамику языкового сознания, а также уровень владения специальными терминами, мы провели письменный опрос среди студентов юридического факультета Южно-Уральского государственного университета, прибегнув к помощи юриста (преподавателя дисциплины «Гражданское право»). Совместно нами были выбраны 20 юридических терминов и подобран юридический текст из Гражданского кодекса Российской Федерации (1995 г.).
В письменном опросе приняли участие студенты юридического факультета. Исследование проходило в два этапа.
Первый этап. Испытуемые - студенты 1-го курса (90 чел.) и студенты 3-го курса (87 чел.). Из них сформированы две группы, каждой из которых были даны 20 одинаковых юридических терминов.
Результаты эксперимента показали следующее:
1. У студентов 1 -го курса еще не выработано устойчивое знание терминологии, поэтому присутствует бытовое толкование терминов, например: суд - орган, разрешающий конфликтные ситуации (правильно." юридические споры), истец - человек, который
ищет правду в суде (верно: обратившийся за защитой нарушенного права), собственность - вещь (это право на вещь); широкое понимание термина, например: закон - это правило поведения в обществе (фактически дано понятие нормы права), приговор - это мера ответственности; узкое понимание термина, например: прокурор -это высшее должностное лицо, от решения которого зависит ход дела; договор - документ, право - это норма, правоотношение -отношение в области права; смешение близких по значению терминов, например: наказание - это мера пресечения, сделка - это соглашение, прокурор - это обвинитель; иск - жалоба; иск - подача требования о нарушении права (нужно - о защите права); тавтология, например: судебное решение - это имеющее законную силу решение суда; употребление несуществующего термина, например: прокурорская система, вид права.
2. Недостаточность понимания юридической терминологии студентами 1-го курса объясняется, на наш взгляд, ^сформированным языковым сознанием студентов в силу отсутствия профессиональных практических коммуникативных навыков, слабыми знаниями в определенных областях наук, непониманием сущности юридических терминов (например, завещание толкуют как договор), ассоциативным, а не научным пониманием терминологии (широкое толкование терминов, например: приговор - это мера ответственности-, узкое понимание терминов: прокурор - это государственный обвинитель).
3. У студентов 3-го курса наблюдается устойчивая динамика языкового сознания. Складывается стереотипное понимание специальной терминологии. Интерпретация терминов близка к образцу толкования терминов законодателем. Например, «недееспособность - признание судом лица недееспособным в силу психического расстройства или малолетства, что ведет к невозможности нести любую ответственность». Данное явление можно объяснить целевой установкой студентов на постижение профессиональных знаний; практические навыки, приобретенные в процессе производственной практики, находят свое отражение в профессиональной коммуникативной компетенции. Усвоение учебного материала формирует в сознании студентов профессиональную картину мира. Поскольку овладение студентами профессиональных терминов проис-
ходит осознанно, можно утверждать, что их правовое и языковое сознание постепенно сближаются.
На втором этапе эксперимента в выполнении заданий участвовали студенты 3-го курса дневного отделения и студенты 4-го курса заочного отделения (70 чел.). Среди испытуемых были студенты, работающие юристами. Им были предложены более сложные юридические термины, а также работа с текстом (его интерпретация).
Исследовав результаты эксперимента, мы сделали следующий вывод. В основном студенты понимают сущность специальных понятий, правильно употребляют специальную терминологию, не имеющую синонимов в общеупотребительном языке, например: собственность - это вещное право; «завещание - распоряжение лица принадлежащим ему имуществом в случае смерти либо документ, удостоверяющий смерть гражданина»; «реституция - возврат сторонами полученного вследствие недействительности сделки»; «завещание - документ, которым гражданин оформляет распоряжение по поводу собственного имущества на случай смерти»; «казус - случай, который не зависит от воли лица»; «сервитут - право ограниченного пользования чужой вещью».
Следующий этап исследования - это работа студентов с текстом. Прочитанный вслух текст нужно было интерпретировать. Это задание не вызвало у студентов затруднений. Нами и преподавателем-юристом выявлено полное и правильное понимание сути прочитанной, новой для испытуемых, статьи Гражданского кодекса, свободное владение юридической терминологией. Студенты ясным, доступным и точным языком передали суть данной статьи Гражданского кодекса, например: «право общей собственности предполагает владение имуществом двумя или несколькими лицами», «совместная собственность - это такая собственность, в которой доли не определены»; «долевая собственность-собственность в которой определены доли каждого из собственников, примером может служить приватизация жилого помещения, (квартиры), когда каждый из ее собственников имеет определенную долю, установленную законом» и т.д.
Исходя из результатов данного эксперимента, можно говорить о постепенной профессионализации языкового сознания. Можно обладать знаниями, но не уметь ими пользоваться (в нашем исследовании - не уметь выразить содержание статьи Гражданского ко-
декса). Поэтому считаем, что профессиональное и языковое сознание в период обучения взаимодополняются, это и способствует становлению специалиста.
Особенностью языкового сознания специалиста является глубокое понимание аспектов своей будущей профессиональной деятельности.
Анализ речи студентов-выпускников привел нас к выводу, что в основном это профессионально сформировавшиеся личности, хотя у представителей этой категории встречаются примеры профессионально несовершенной речи. Полагаем, что это происходит из-за несоблюдения общепринятых норм современного русского языка.
Заключительный этап нашего исследования - наблюдение за речью юристов-профессионалов (аудиозапись в судебном процессе и аудиозапись лекций юристов-преподавателей) показал, что профессионализация языковой личности юриста происходит через приобретение коммуникативной компетентности, освоение профессионального языка и формирование профессионального сознания.
Профессионалы, формируя юридические понятия, опираются на явления правовой действительности. Рассматриваемые понятия являются инструментом познания сложных правовых явлений. Они возникают благодаря практическому опыту, поэтому безукоризненны с точки зрения содержания. Юридические тексты отличаются особой точностью и тщательностью в формулировке мыслей, продуманностью и логичностью структуры. Профессионализм языковой личности проявляется в последовательном изложении содержания текста, при этом язык остается общедоступным, что позволяет полно воспринять передаваемую правовую информацию неспециалистами.
Итак, исследование позволило выявить особенности профессионализации языковой личности от этапа неспециалиста до этапа профессионала в области юриспруденции и представить его динамику.
В заключении подводятся итоги и намечаются перспективы дальнейшей работы, которые заключаются, на наш взгляд, в возможности детального изучения профессиональной языковой личности на каждом этапе её становления с привлечением иного фактического материала.
Основные положения диссертации отражены в следующих публикациях автора:
1. Язык процессуальных документов // Актуальные проблемы реформирования экономики и законодательства. России и стран СНГ: Материалы междунар. науч.-практ. конф. - Челябинск, 2002. -С. 260-262.
2. Некоторые проблемы применения и толкования терминов в юридических текстах // Региональная информационная экономика: проблемы формирования и развития: Материалы междунар. науч.-практ. конф. - Челябинск, 2003. - С. 401 - 404.
3. Общие положения искусства слова в суде присяжных // Актуальные проблемы права России и стран СНГ: Материалы IV междунар. науч.-практ. конф., поев. 60-летию ЮУрГУ и 10-летию специальности «Юриспруденция» ЮУрГУ. - Челябинск, 2003. -С. 136- 138.
4. Формирование языковой личности юриста // Языки профессиональной коммуникации: Материалы междунар. науч. конф. -Челябинск, 2003. - С. 502 -505.
5. Роль языковой личности юриста в формировании правового сознания россиян // Реализация положений Конституции Российской Федерации в законодательстве: Материалы междунар. науч.-практ. конф. - Челябинск, 2003. - С. 91- 93
6. Презентация юридического языка как языка для специальных целей // Язык. Культура. Коммуникация: Материалы междунар. науч. конф. - Челябинск, 2004. - С. 86 - 91.
7. Проблемы понимания официальных юридических документов неспециалистами в области права // Актуальные проблемы права России и стран СНГ: Материалы VI междунар. науч.-практ. конф., поев. 75-летию проф. Ю.Д. Лившица. - Челябинск, 2004. - С. 141 -143.
8. Коммуникативная компетентность как показатель профессионализма юриста-специалиста // Язык. Культура. Коммуникация: Материалы междунар. науч. конф. - Челябинск, 2005. - С. 123 - 129.
»10 50 В
РНБ Русский фонд
2006-4 5970
Подписано в печать 18.05.05. Формат 60x84 '/16. Бумага газетная. Печать офсетная. Усл. печ. л. 1,2. Уч.-изд. л. 1,3. Тираж 100 экз. Заказ 99. Цена договорная
ГОУВПО «Челябинский государственный университет» 454021 Челябинск, ул. Братьев Кашириных, 129
Полиграфический участок Издательского центра ЧелГУ 454021 Челябинск, ул. Молодогвардейцев, 576
Диссертации по гуманитарным наукам - http://cheloveknauka.com/professionalizatsiya-yazykovoy-lichnosti#ixzz6EVw9Qekc
В.В. ВИНОГРАДОВ КАК ПРОФЕССИОНАЛЬНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ УЧЕНОГО-ФИЛОЛОГА: ЛИНГВОРИТОРИЧЕСКИЙ АСПЕКТ : Кузнецова Лариса Николаевна на материале текстов о языке и стиле русских писателей : диссертация ... кандидата филологических наук : 10.02.19 / Адыгейский государственный университет. Сочи, 2013
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=1014019]]*[ext[ссылка ар|https://new-disser.ru/_avtoreferats/01006637092.pdf]]
*[[kln_ar_s3]]*{ {kln_ar_s3}}
*[[kln_ar_s9]]*{ {kln_ar_s9}}
1. ЯЗЫКОВАЯ ЛИЧНОСТЬ КАК КАТЕГОРИЯ ИСТОРИЧЕСКОЙ КУЛЬТУРОЛОГИИ (НА МАТЕРИАЛЕ "АРХИВА КНЯЗЯ ВОРОНЦОВА")
Барсукова Е.В.
диссертация на соискание ученой степени кандидата культурологии / Московский государственный университет им. М.В. Ломоносова (МГУ). Саранск, 2007
2. КУЛЬТУРА ЯЗЫКОВОЙ ЛИЧНОСТИ В ПОЛИКУЛЬТУРНОЙ СРЕДЕ ВУЗА
Буряк Н.Ю.
диссертация на соискание ученой степени кандидата культурологии / Краснодарский государственный университет культуры и искусств. Краснодар, 2012
3. КУЛЬТУРНАЯ СРЕДА СОВРЕМЕННОЙ РОССИИ КАК ФАКТОР ФОРМИРОВАНИЯ МЕЖКУЛЬТУРНОЙ КОМПЕТЕНЦИИ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ
Кострица Е.И.
диссертация на соискание ученой степени кандидата культурологии / Забайкальский государственный гуманитарно-педагогический университет им. Н.Г. Чернышевского. Чита, 2011
4. ТЕКСТ КАК РЕПРЕЗЕНТАНТ ЯЗЫКОВОЙ ЛИЧНОСТИ В МЕЖКУЛЬТУРНОЙ КОММУНИКАЦИИ
Левашкина О.Ю.
диссертация на соискание ученой степени кандидата культурологии / Национальный исследовательский Мордовский государственный университет им. Н.П. Огарева. Саранск, 2005
[[Термины]]
| [[Ла]] | [[Ле]] | [[Ли]] | [[Ло]] |
!! Леонова Елена Владимировна
Диссертация 2 варианта первый не прошел в Саратове в 2015 второй защищен в СКФУ в 2016
Название первого варианта в elibrary [ext[ссылка|https://www.elibrary.ru/item.asp?id=25551743]]
первый вариант ''КОГНИТИВНО-ДИСКУРСИВНЫЙ ПОДХОД К ИЗУЧЕНИЮ ИДЕНТИЧНОСТИ ЯЗЫКОВОЙ ЛИЧНОСТИ В ДНЕВНИКОВЫХ ТЕКСТАХ'' Леонова Е.В. Диссертация на соискание ученой степени кандидата филологических наук / Национальный исследовательский Саратовский государственный университет им. Н.Г. Чернышевского. Саратов, 2015 ???? не прошла Саратове
[ext[ссылка|https://dropdoc.ru/doc/514174/kognitivno-diskursivnyj-podhod-k-izucheniyu-identichnosti]]
второй вариант ''Реализация стратегии самоидентификации языковой личности в дневниковом дискурсе'' прошла в СКФУ
[ext[ссылка автореферат |https://vak.minobrnauki.gov.ru/az/server/php/filer_new.php?table=att_case&fld=autoref&key[]=94144001&version=100]]
Теперь, когдаинформациявыступаетнекаквспомогательноесредствовсовременномобразовании, а как смыслообразующий фак-тор, лингвистическоеобразованиедолжнобытьнетольколичностноимежкультурно, но и информационно ориентировано. Таким образом, современный период развития проблемыформированиявторичнойязыковойличностипереводчикавсистемепрофессиональноголингвистическогообразованияхарактеризу-етсялингво-информационнойнаправленно-стью, основнымичертамикоторойявляются:
– информационнаякомпетентностьявля-етсясистемообразующимкомпонентомвпрофессиональнойкомпетентностисовремен-ногопереводчика, акакследствиевбазовуюивариативнуючастьпрограммыпрофессио-нальнойподготовкипереводчиковвводятсядисциплины, позволяющиеимовладеватьсо-ответствующимизнаниями, развиватьуменияинавыки;
– средивидовпрофессиональнойпере-водческойкоммуникациивыделяетсяновыйвид – сетеваяопосредованнаякоммуникация, акакследствиепоявляетсянеобходимостьосуществленияпрофессиональнойподготовкибудущихпереводчиков, включающейсетевуюопосредованнуюкоммуникациюкакодинизвидовучебнойдеятельности;
– наподготовительномэтапепереводче-скойдеятельностиспециалистосуществляетобработкуогромныхинформационныхмасси-вов, котораянепредставляетсявозможнойбезиспользованиясовременныхинформационно-коммуникационныхтехнологий, азначитоб-разовательныйпроцесснапереводческихфа-культетахдолженнетольковключатьизуче-ниесоответствующегопрограммногообеспе-чений и технологий, ноиосуществлятьсянаихоснове. – однойизбазовыхструктурныхкомпо-нентовпрофессиональнойкомпетентностиявляетсядискурсивнаякомпетентность, овла-дениекоторойпроисходитвпроцессеработыстекстамиразличнойнаправленности, доступ
и ознакомление с которыми зачастую возможен только через сетевые технологии.
Такимобразом, считаем, чтонасовре-менномэтапепрофессиональноелингвисти-ческоеобразованиедолжноиметьдоминант-нуюинформационнуюсоставляющую, икакследствие, можетназыватьсяпрофессиональ-нымлингво-информационнымобразованием, вслучаеразработкиивнедрениявпроцессподготовкипереводчиковпедагогическойконцепцииформированиявторичнойязыко-войличностипереводчикаслингво-инфор-мационнойнаправленностью.
Караулов, Ю.Н. Филиппович.
Лингвокультурное сознание русской языковой личности
[ext[ссылка|https://docviewer.yandex.ru/view/44297129/?page=1&*=vb4ckfeBdrBayM99ngxM6W%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%3D%3D&lang=ru]]
[ext[ссылка|https://docviewer.yandex.ru/view/34056482/?page=1&*=6bE%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%3D&lang=ru]]
[[Юрьева]] А.В. [[Лингвориторический идеал как фактор становления профессиональной языковой личности будущего учителя]]: автореф. дис. … канд. пед. наук. – Сочи, 2002. – 22 с.
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=1022408]]
автореферат в вивальди
[ext[ссылка|https://vivaldi.nlr.ru/bd000145894/view/?#page=1]] физ 24 с. по карточке 22 с.
* [ext[ссылка aD|https://yadi.sk/i/xK2ocPtD8hfNtA]]
* [ext[ссылка aD odt|https://yadi.sk/i/G09VYJG6WtAR1A]]
{{yuav_ar_s3_1}} *[[yuav_ar_s3_1]]
{{yuav_ar_s3_2}}*[[yuav_ar_s3_2]]
{{yuav_ar_s4_1}}*[[yuav_ar_s4_1]]
{{yuav_ar_s4_2}}**[[yuav_ar_s4_2]]
{{yuav_ar_s4_3}}*[[yuav_ar_s4_3]]
{{yuav_ar_s4_4}}*[[yuav_ar_s4_4]]
{{yuav_ar_s8_2}}*[[yuav_ar_s8_2]]
{{yuav_ar_s11_1}}*[[yuav_ar_s11_1]]
{{yuav_ar_s11_2}}*[[yuav_ar_s11_2]]
{{yuav_ar_s11_3}}*[[yuav_ar_s11_3]]
{{yuav_ar_s12_1}}*[[yuav_ar_s12_1]]
{{yuav_ar_s12_2}}*[[yuav_ar_s12_2]]
{{yuav_ar_s13_3}}*[[yuav_ar_s13_3]]
ЛОО - личностно ориентированное обучение
[[Мордас]]
Семиосфера [ext[ссылка|https://edu.vsu.ru/pluginfile.php?file=%2F193961%2Fmod_resource%2Fcontent%2F1%2F%D0%9B%D0%BE%D1%82%D0%BC%D0%B0%D0%BD%20%D0%AE.%D0%9C.%20%D0%9A%D1%83%D0%BB%D1%8C%D1%82%D1%83%D1%80%D0%B0%20%D0%B8%20%D0%B2%D0%B7%D1%80%D1%8B%D0%B2.pdf]]
!Из википедии
[ext[ссылка|https://ru.wikipedia.org/wiki/%D0%9C%D0%BE%D0%B4%D0%B5%D0%BB%D1%8C_%D0%AE%D1%80%D0%B8%D1%8F_%D0%9B%D0%BE%D1%82%D0%BC%D0%B0%D0%BD%D0%B0]]
В основе теории семиотической модели коммуникации Юрия Лотмана лежит несколько отправных принципов:
Во-первых, Лотман был согласен с моделью коммуникации, выдвинутой Якобсоном. Однако, считал ее слишком абстрактной. По мнению, Лотмана код адресанта и адресата не может быть одинаковым. Кроме того, за коммуникацией стоит история. Поскольку язык – это не только код, но и его история. Именно поэтому коммуникаторы должны учитывать коды, которыми уже обладает партнер.
Во-вторых, Юрий Лотман утверждал, что любая коммуникация – это перевод с языка моего «я» на язык твоего «ты». "Самая возможность такого перевода обусловлена тем, что коды обоих участников коммуникации, хотя и не тождественны, но образуют пересекающиеся множества"[3] — считал Лотман.
В-третьих, он выделял две коммуникативные модели "Я - ОН" и "Я - Я". Автокоммуникация "Я - Я" придает новый смысл сообщению, перекодируя его, путем внедрения второго добавочного кода. К тому же, передача сообщения самому себе может трактоваться как перестройка личности. Таким образом, коммуникацию "Я - Я" можно считать внутренней и основанной на получение кода, а коммуникацию "Я - ОН" —внешней, основанной на получение сообщения.
В системе “Я — ОН” переменными оказываются обрамляющие элементы модели (адресант заменяется адресатом), а постоянными — код и сообщение. Сообщение и содержащаяся в нем информация константны, меняется же носитель информации. В системе “Я — Я” носитель информации остается тем же, но сообщение в процессе коммуникации переформулируется и приобретает новый смысл. Это происходит в результате того, что вводится добавочный — второй — код и исходное сообщение перекодируется в единицах его структуры, получая черты нового сообщения.[4]
Кроме того, он определил и создал модель литературной коммуникации. Основной идеей является то, что автор сообщения должен заложить новый взгляд на какую-либо идею, т.е. предложить новую деавтоматизацию. Другими словами, в тот момент, когда человек привыкает к определенной форме повествования, автору необходимо дать новую идею для возвращения внимания. Таким образом, структура самого сообщения должна состоять из ряда цепочек.
Для того чтобы общая структура текста сохраняла информативность, она должна постоянно выводиться из состояния автоматизма, которое присуще нехудожественным структурам. Однако одновременно работает и противоположная тенденция: только элементы, поставленные в определенные предсказываемые последовательности, могут выполнять роль коммуникативных систем. Таким образом, в структуре художественного текста одновременно работают два противоположных механизма: один стремится все элементы текста подчинить системе, превратить их в автоматизованную грамматику, без которой невозможен акт коммуникации, а другой — разрушить эту автоматизацию и сделать самое структуру носителем информации.[3]
По мнению Юрия Лотмана, культура – это генератор различных кодов. Таким образом все явления культуры можно трактовать как различные коммуникативные механизмы, а значит и различные языки. Из этого следует приоритет лингвистических методов анализа. Важность такого рода механизмов связана также с обращения к первичным и вторичным моделирующим системам. Первичной системой является язык, вторичной — литература, театр, кино. Вторичная система включала в себя большое число языковых характеристик, поскольку она основывается все же на языке. Тем самым можно сделать вывод, что лингвистический инструментарий имеет особую важность. Лотман в целом заложил основы коммуникативного анализа культуры, анализируя ее как коммуникативный механизм.[5]
!Структура художественного текста
[ext[ссылка|https://docviewer.yandex.ru/view/0/?page=1&*=COnwoosfMmYSeAvf%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&lang=ru]]
[[Лысенко Н.Е.]]
Лысенко Н.Е. [[Развитие языковой личности при обучении русскому и иностранному языкам в неязыковом вузе]]
[[lne_ar 1]]
*{{lne_ar_s4_3v1}}*[[lne_ar_s4_3v1]]
!Лысенко Н.Е.
РАЗВИТИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ ПРИ ОБУЧЕНИИ РУССКОМУ И ИНОСТРАННОМУ ЯЗЫКАМ В НЕЯЗЫКОВОМ ВУЗЕ
диссертация на соискание ученой степени кандидата педагогических наук / Орел, 2006 13.00.02
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=834555]]
[ext[ссылка автореферат|https://new-disser.ru/_avtoreferats/01002975870.pdf]]
* [[lne_ar_s4_3]] *[[lne_ar_s4_3v1]]*{ {lne_ar_s4_3v1}}
* [[lne_ar_s6_3]]*{ {lne_ar_s6_3}}
* [[lne_ar_s9_6]]
* [[lne_ar_s11_4]]
* [[lne_ar_s11_5]]
* [[lne_ar_s12_1]] продолжение
* [[lne_ar_s12_3]]
* [[lne_ar_s15_3]]
* [[lne_ar_s16_1]]
* [[lne_ar_s16_2]]
* [[lne_ar_s16_3]]
* [[lne_ar_s16_4]]
* [[lne_ar_s16_5]]
* [[lne_ar_s17_1]]
* [[lne_ar_s17_2]]
* [[lne_ar_s17_3]]
* [[lne_ar_s17_4]]
* [[lne_ar_s18_1]] продолжение
[[Термины]]
| [[Ма]] | [[Ме]] | [[Ми]] | [[Мн]] | [[Мо]] | [[Му]] | [[Мы]] |
27.06.2019 Макерова Наталья Владимировна Подготовка специалистов сферы спортивно-оздоровительного туризма в вузах физической культуры: лингво-профессиональный аспект
[ext[ссылка dis|http://lesgaft.spb.ru/sites/default/files//dissertation/diss/dissertaciya_makerova_n.v.pdf]]
Анализ научных публикаций[64, 93, 131, 145, 155, 180], посвящённых вопросам интегрированного лингво-профессионального обучения в высшей школе, позволил нам уточнить ряд междисциплинарных стратегий, координирующих его эффективное функционирование:
- стимулирование мотивационной сферы личности обучающихся средствами межпредметного синтезана основе анализа их лингво-профессиональных потребностей;
-смещение акцентов в содержании обучения от общегуманитарной и общепрофессиональной к специальной направленности;
-пересмотр и уточнение содержания, учебно-методического обеспечения и инструментально-технологического сопровождения конкретных учебных курсов;
-объединение традиционного лингводидактического ресурса с инновационными электронными, компьютерными, мультимедийными технологиями;
[[mnv_dis_s29_4]]
-привлечение преподавателей профильных кафедр к участию в лингвообразовательной деятельности обучающихся;
-дозированное включение элементов иноязычной подготовки в содержание предметов профильного цикла;
-оказание своевременной теоретико-методической поддержки преподавателям интегрированного учебного курса.
[[mnv_dis_s30_1]]
Концепция CLIL состоит в интегрированном обучении содержанию конкретной предметной дисциплины и иностранному языку. Причём фокус внимания может смещаться в одну или другую сторону[180]. В качестве ключевых единиц данной концепции выступают «Content» (содержание предметной дисциплины), «Communication» (предметно-содержательная коммуникация), «Cognition» (развитие познавательных способностей) и «Culture» (культуросообразность реализации предметных и языковых компетенций).
[[mnv_dis_s30_3]]
изучения лингвострановедческого и социокультурного материала на базе ментальных когнитивно-коммуникативных образцов, способствующих формированию поликультурной языковой личности, умеющей осуществлять учёт межкультурных различий в процессе межличностного и профессионального общения, воспитанию толерантного отношения к представителям иносоциума, глобального мышления;
[[mnv_dis_s32_2]]
МЕМОРИО - этап риторического канона, нацеленный на запоминание подготовленной для выступления речи.
мемория
[ext[ссылка мемория|https://znachenie-slova.ru/%D0%BC%D0%B5%D0%BC%D0%BE%D1%80%D0%B8%D1%8F]]
[ext[ссылка меморио|http://velikayakultura.ru/russkiy-yazyk/razdelyi-klassicheskoy-ritoriki-memorio-vidyi-i-tipyi-pamyati]]
Халяпина Л.П. Методическая система формирования поликультурной языковой личности посредством интернет-коммуникации в процессе обучения иностранным языкам
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=834362]]*[ext[ссылка ар|https://new-disser.ru/_avtoreferats/01003318657.pdf]]
[[Содержание]]
{{hlp_ar_s3_1}}* [[hlp_ar_s3_1]]
{{hlp_ar_s3_2}}* [[hlp_ar_s3_2]]
{{hlp_ar_s3_3}}* [[hlp_ar_s3_3]]
{{hlp_ar_s3_4}}* [[hlp_ar_s3_4]]
{{hlp_ar_s3_5}}* [[hlp_ar_s3_5]]
{{hlp_ar_s3_6}}* [[hlp_ar_s3_6]]
{{hlp_ar_s3_7}}* [[hlp_ar_s3_7]]
{{hlp_ar_s3_8}}* [[hlp_ar_s3_8]]
[[стр. 3|hlp_ar_s3]]
{{hlp_ar_s4_1}}* [[hlp_ar_s4_1]]
{{hlp_ar_s4_2_1}}* [[hlp_ar_s4_2_1]]
{{hlp_ar_s4_2_2}}* [[hlp_ar_s4_2_2]]
{{hlp_ar_s4_2_3}}* [[hlp_ar_s4_2_3]]
{{hlp_ar_s4_2_4}}* [[hlp_ar_s4_2_4]]
{{hlp_ar_s4_3_1}}* [[hlp_ar_s4_3_1]]
{{hlp_ar_s4_3_2}}* [[hlp_ar_s4_3_2]]
{{hlp_ar_s4_3_3}}* [[hlp_ar_s4_3_3]]
*{ {hlp_ar_s4}}* [[стр. 4|hlp_ar_s4]]
{{hlp_ar_s5_1_1}}*[[hlp_ar_s5_1_1]]
{{hlp_ar_s5_1_2}}*[[hlp_ar_s5_1_2]]
{{hlp_ar_s5_2}}*[[hlp_ar_s5_2]]
{{hlp_ar_s5_3_1}}*[[hlp_ar_s5_3_1]]
{{hlp_ar_s5_3_2}}*[[hlp_ar_s5_3_2]]
{{hlp_ar_s5_3_3}}*[[hlp_ar_s5_3_3]]
{{hlp_ar_s5_3_4}}*[[hlp_ar_s5_3_4]]
*{ {hlp_ar_s5}}* [[стр. 5|hlp_ar_s5]]
{{hlp_ar_s6_1}}*[[hlp_ar_s6_1]]
{{hlp_ar_s6_2}}*[[hlp_ar_s6_2]]
{{hlp_ar_s6_3}}*[[hlp_ar_s6_3]]
{{hlp_ar_s6_4}}*[[hlp_ar_s6_4]]
{{hlp_ar_s6_5}}*[[hlp_ar_s6_5]]
{{hlp_ar_s6_6_1}}*[[hlp_ar_s6_6_1]]
{{hlp_ar_s6_6_2}}*[[hlp_ar_s6_6_2]]
{{hlp_ar_s6_6_3}}*[[hlp_ar_s6_6_3]]
*{ {hlp_ar_s6}}* [[hlp_ar_s6]]
{{hlp_ar_s7_1_1}}*[[hlp_ar_s7_1_1]]
{{hlp_ar_s7_1_2}}*[[hlp_ar_s7_1_2]]
{{hlp_ar_s7_2_1}}*[[hlp_ar_s7_2_1]]
{{hlp_ar_s7_2_2}}*[[hlp_ar_s7_2_2]]
{{hlp_ar_s7_2_3}}*[[hlp_ar_s7_2_3]]
{{hlp_ar_s7_2_4}}*[[hlp_ar_s7_2_4]]
{{hlp_ar_s7_2_5}}*[[hlp_ar_s7_2_5]]
{{hlp_ar_s7_2_6}}*[[hlp_ar_s7_2_6]]
{{hlp_ar_s7_2_7}}*[[hlp_ar_s7_2_7]]
{{hlp_ar_s7_2_8}}*[[hlp_ar_s7_2_8]]
{{hlp_ar_s7_2_9}}*[[hlp_ar_s7_2_9]]
{{hlp_ar_s7_2_10}}*[[hlp_ar_s7_2_10]]
{{hlp_ar_s7_3}}*[[hlp_ar_s7_3]]
{{hlp_ar_s7_4}}*[[hlp_ar_s7_4]]
*{ {hlp_ar_s7}}* [[стр 7|hlp_ar_s7]]
{{hlp_ar_s9_1_1}}*[[hlp_ar_s9_1_1]]
{{hlp_ar_s9_1_2}}*[[hlp_ar_s9_1_2]]
{{hlp_ar_s9_2}}*[[hlp_ar_s9_2]]
{{hlp_ar_s9_3_1}}*[[hlp_ar_s9_3_1]]
{{hlp_ar_s9_3_2}}*[[hlp_ar_s9_3_2]]
{{hlp_ar_s9_3_2_1}}*[[hlp_ar_s9_3_2_1]]
{{hlp_ar_s9_3_2_2}}*[[hlp_ar_s9_3_2_2]]
{{hlp_ar_s9_3_2_3}}*[[hlp_ar_s9_3_2_3]]
{{hlp_ar_s9_3_2_4}}*[[hlp_ar_s9_3_2_4]]
*{ {hlp_ar_s9}}* [[стр. 9|hlp_ar_s9]]
{{hlp_ar_s10_1_1_1}}*[[hlp_ar_s10_1_1_1]]
{{hlp_ar_s10_1_2}}*[[hlp_ar_s10_1_2]]
{{hlp_ar_s10_1_2_1}}*[[hlp_ar_s10_1_2_1]]
{{hlp_ar_s10_1_2_2}}*[[hlp_ar_s10_1_2_2]]
{{hlp_ar_s10_1_2_3}}*[[hlp_ar_s10_1_2_3]]
{{hlp_ar_s10_1_2_4}}*[[hlp_ar_s10_1_2_4]]
{{hlp_ar_s10_1_2_5}}*[[hlp_ar_s10_1_2_5]]
{{hlp_ar_s10_1_3}}*[[hlp_ar_s10_1_3]]
{{hlp_ar_s10_1_3_1}}*[[hlp_ar_s10_1_3_1]]
{{hlp_ar_s10_1_3_2}}*[[hlp_ar_s10_1_3_2]]
{{hlp_ar_s10_1_3_3}}*[[hlp_ar_s10_1_3_3]]
{{hlp_ar_s10_1_4}}*[[hlp_ar_s10_1_4]]
{{hlp_ar_s10_1_4_1}}*[[hlp_ar_s10_1_4_1]]
{{hlp_ar_s10_1_4_2}}*[[hlp_ar_s10_1_4_2]]
*{ {hlp_ar_s10}}* [[стр. 10 |hlp_ar_s10]]
{{hlp_ar_s11_1_3}}*[[hlp_ar_s11_1_3]]
{{hlp_ar_s11_1_4}}*[[hlp_ar_s11_1_4]]
{{hlp_ar_s11_2}}*[[hlp_ar_s11_2]]
{{hlp_ar_s11_2_1}}*[[hlp_ar_s11_2_1]]
{{hlp_ar_s11_2_2}}*[[hlp_ar_s11_2_2]]
{{hlp_ar_s11_2_3}}*[[hlp_ar_s11_2_3]]
{{hlp_ar_s11_2_4}}*[[hlp_ar_s11_2_4]]
{{hlp_ar_s11_2_5}}*[[hlp_ar_s11_2_5]]
{{hlp_ar_s11_2_6}}*[[hlp_ar_s11_2_6]]
{{hlp_ar_s11_3}}*[[hlp_ar_s11_3]]
*{ {hlp_ar_s11}}* [[стр 11 |hlp_ar_s11]]
{{hlp_ar_s12_1}}*[[hlp_ar_s12_1]]
{{hlp_ar_s12_1_1}}*[[hlp_ar_s12_1_1]]
{{hlp_ar_s12_1_2}}*[[hlp_ar_s12_1_2]]
{{hlp_ar_s12_1_3}}*[[hlp_ar_s12_1_3]]
{{hlp_ar_s12_1_4}}*[[hlp_ar_s12_1_4]]
{{hlp_ar_s12_1_5}}*[[hlp_ar_s12_1_5]]
{{hlp_ar_s12_1_6}}*[[hlp_ar_s12_1_6]]
{{hlp_ar_s12_1_7}}*[[hlp_ar_s12_1_7]]
{{hlp_ar_s12_2}}*[[hlp_ar_s12_2]]
{{hlp_ar_s12_2_1}}*[[hlp_ar_s12_2_1]]
{{hlp_ar_s12_2_2}}*[[hlp_ar_s12_2_2]]
{{hlp_ar_s12_2_3}}*[[hlp_ar_s12_2_3]]
*{ {hlp_ar_s12}}* [[стр 12 |hlp_ar_s12]]
{{hlp_ar_s13_1}}* [[hlp_ar_s13_1]]
*{ {hlp_ar_s14}}* [[hlp_ar_s14]]
*{ {hlp_ar_s15}}* [[hlp_ar_s15]]
*{ {hlp_ar_s16}}* [[hlp_ar_s16]]
*{ {hlp_ar_s17}}* [[hlp_ar_s17]]
*{ {hlp_ar_s18}}* [[hlp_ar_s18]]
*{ {hlp_ar_s19}}* [[hlp_ar_s19]]
*{ {hlp_ar_s20}}* [[hlp_ar_s20]]
*{ {hlp_ar_s21}}* [[hlp_ar_s21]]
*{ {hlp_ar_s22}}* [[hlp_ar_s22]]
*{ {hlp_ar_s23}}* [[hlp_ar_s23]]
*{ {hlp_ar_s24}}* [[hlp_ar_s24]]
*{ {hlp_ar_s25}}* [[hlp_ar_s25]]
*{ {hlp_ar_s26}}* [[hlp_ar_s26]]
*{ {hlp_ar_s27}}* [[hlp_ar_s27]]
*{ {hlp_ar_s28}}* [[hlp_ar_s28]]
*{ {hlp_ar_s29}}* [[hlp_ar_s29]]
*{ {hlp_ar_s30}}* [[hlp_ar_s30]]
*{ {hlp_ar_s31}}* [[hlp_ar_s31]]
[ext[ссылка KL|https://cyberleninka.ru/article/n/metodologicheskie-problemy-sozdaniya-slovarya-yazykovoy-lichnosti]]
!! ''1 вариант''
Это функция, которая является членом класса:
```
class C:
def my_method(self):
print "I am a C"
c = C()
c.my_method() # Prints "I am a C"
```
[ext[ссылка|https://askdev.ru/q/chto-takoe-metod-v-python-44915/]]
!! ''2 вариант''
<p><strong>Что такое класс в ооп python?</strong></p>
<blockquote><p><span style="color: #ff0000;"><strong>Класс</strong> </span><strong>=</strong> <span style="color: #ff6600;"><strong>данные</strong> </span><strong>+</strong> <span style="color: #008080;"><strong>методы</strong></span></p></blockquote>
<p><span style="color: #ff0000;"><strong>Класс</strong> </span>— это тип данных, состоящий из набора <strong>атрибутов (свойств)</strong> и <strong>методов</strong> — функций для работы с этими атрибутами.</p>
<p><strong>Схематично класс можно представить следующим образом:</strong></p>
<p>Для создания классов предусмотрена инструкция class. Тело класса состоит из блока различных инструкций.</p>
<pre class="EnlighterJSRAW" data-enlighter-language="python">class ИмяКласса:
ПеременнаяКласса = Значение
…
def ИмяМетода(self, ...):
self.ПеременнаяКласса = Значение
…
…</pre>
<p><strong>Методы в классах</strong> — это те же функции, которые принимают один обязательный параметр — <strong>self</strong> (с англ. можно перевести как «собственная личность»). Он нужен для связи с конкретным объектом.</p>
<p><strong>Атрибуты класса</strong> — это имена переменных вне функций и имена функций. Эти атрибуты наследуются всеми объектами, созданными на основе данного класса. Атрибуты обеспечивают свойства и поведение объекта. Объекты могут иметь атрибуты, которые создаются в теле метода, если данный метод будет вызван для конкретного объекта.</p>
<p><strong>Пример класса (ООП) на Python 3:</strong></p>
Методы класса — это небольшие программки, предназначенные для работы с объектами. Методы могут создавать новые свойства (данные) объекта, изменять существующие, выполнять другие действия над объектами.
[ext[ссылка|https://python.ivan-shamaev.ru/classes-python-3-methods-oop-examples/]]
[[Хоменко А.Ю.]] Лингвистическое моделирование...
!!Кандидатская
Монахова Л.Ю. Адаптация информационных технологий к формированию тезауруса у студентов технических вузов
[ext[ссылка|https://rusneb.ru/catalog/000199_000009_002285503/]]
[ext[ссылка|https://viewer.rusneb.ru/ru/000199_000009_000183039?page=1&rotate=0&theme=white]]
[ext[ссылка Автореферат|https://new-disser.ru/_avtoreferats/01000183039.pdf]]
[ext[ссылка в E/Dis|file:///E:/Dis/Dis18]]
!!Докторская
Монахова Л.Ю. Информатизация математического образования в системе профессиональной подготовки военных специалистов
[ext[ссылка|https://viewer.rusneb.ru/ru/000199_000009_002852986?page=1&rotate=0&theme=white]]
[ext[ссылка Автореферат|https://new-disser.ru/_avtoreferats/01002852986.pdf]]
[ext[ссылка в E/Dis|file:///E:/Dis/Dis19]]
[[Мордас С.Б.]] [[Формирование грамматико-коммуникативной компетенции "вторичной" языковой личности франкоговорящих иностранных студентов при изучении предложно-падежных конструкций с пространственным значением]]
Предмет исследования - методика поэтапного формирования и развития грамматико-коммуникативной компетенции вторичной языковой личности франкоговорящих студентов при системно-функциональном подходе к изучению предложно-падежных конструкций с пространственным значением.[[[13 c. 3]|mcb_ar_s3_2]]
[[mcb_ar 1]]
ФОРМИРОВАНИЕ ГРАММАТИКО-КОММУНИКАТИВНОЙ КОМПЕТЕНЦИИ "ВТОРИЧНОЙ" ЯЗЫКОВОЙ ЛИЧНОСТИ ФРАНКОГОВОРЯЩИХ ИНОСТРАННЫХ СТУДЕНТОВ ПРИ ИЗУЧЕНИИ ПРЕДЛОЖНО- ПАДЕЖНЫХ КОНСТРУКЦИЙ С ПРОСТРАНСТВЕННЫМ ЗНАЧЕНИЕМ Мордас С.Б. диссертация на соискание ученой степени кандидата педагогических наук / Белгород, 2004 13.00.02
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=835596]]*[ext[ссылка 2|https://new-disser.ru/_avtoreferats/01002621131.pdf]]
Цель исследования — создание и теоретической обоснование лингвометодической модели формирования грамматико-коммуникативной компетенции «вторичной» языковой личности франкоговорящих студентов в процессе изучения ППК с пространственным значением.
[[mcb_ar_s2_5]]
Объектом исследовании является динамический процесс поэтапного обучения франко говорящих студентов ППК с пространственным значением в соответствии с концепцией формирования грамматико-коммуникативной компетенции языковой
Личности обучающихся. Предмет исследования - методика поэтапного формирования и развития грамматико-коммуникативной компетенции ЯЛ2франкоговорящих студентов при системно- функциональном подходе к изучению ППК с пространственным значением.
.[[mcb_ar_s3_l-2]]
Московская Наталия Леонидовна
ФОРМИРОВАНИЕ ПРОФЕССИОНАЛЬНОЙ КОМПЕТЕНТНОСТИ ЛИНГВИСТА - ПРЕПОДАВАТЕЛЯ 2004 13.00.08
[ext[ссылка автореферат|https://new-disser.ru/_avtoreferats/01002752983.pdf]]
В современных социально-экономических условиях актуальным становится изучение проблем, связанных с профессиональным общением, при этом приоритетным становится научное исследование такого феномена, с которым связывают термин «языковая профессиональная личность». Профессиональная личность «человека говорящего» вызывает научный интерес исследователей не только для понимания её взаимосвязи с такими явлениями, как организационная культура, коммуникативные сети организации и пр., но и для раскрытия языковых (151) механизмов профессионального самоопределения будущего специалиста - важнейшего условия эффективной коллективной трудовой деятельности, а также фактора трудовой социализации человека. Не вызывает сомнения ведущая роль профессионального языка в этих процессах, что обуславливает необходимость осмысления всего комплекса проблем, включенных в континуум «язык - профессиональная самореализация человека».
[[msv_yapl_s150_151_1]]
В связи с этим целью нашего исследования является исследование теоретического состояния проблемы языковой профессиональной личности в трудах отечественных и зарубежных лингвистов, психолингвистов и психологов XX-XXI столетий, а также описание структуры языковой профессиональной личности специалиста.
[[msv_yapl_s151_2]]
Целостное представление о профессиональной личности специалиста как носителя специфического образа мира невозможно сформировать без рассмотрения его как специфической языковой личности, которую отличают особые стратегии речевой деятельности в конкретной профессиональной сфере. Как справедливо по этому поводу отмечает Ю. Н. Караулов, личность не может сформироваться до тех пор, пока не сформируется языковая личность [29].
[[msv_yaplsl 51 _3]]
Обращение к языковой личности как объекту науки было обусловлено методологической интеграцией исторической, психологической, системно-структурной и социальной парадигм языкознания. Впервые на необходимость рассмотрения языка через взаимосвязи отмеченных выше составляющих указывал К. Маркс в «Немецкой идеологии» [39]. Как отмечает по этому поводу Ю. Н. Караулов, попытки рассмотреть все свойства языка с позиций одного из подходов приводили к гипостазированию соответствующего парадигмообразующего фактора. По мнению автора, причина в том, что ни одно из четырех фундаментальных свойств языка не содержало оснований для выводимости остальных его свойств, что и делало невозможным их интеграцию. Решение данной проблемы лежало в поле расширения объекта лингвистики путем введения «...в ее парадигму языковой личности как равноправного объекта изучения, как такой концептуальной позиции, которая позволяет интегрировать разрозненные и относительно самостоятельные свойства языка» [29, с. 21]. Так, развитие языка этносов до высшей формы своего существования - литературного языка - отражает исторический аспект языковой личности. В. Н. Телия пишет, что «язык вбирает в значения все, что связано с культурно-традиционной компетенцией его носителей, транслируемой благодаря фиксирующей способности языка из поколения в поколение» [52, с. 84]. Для нашей работы использование этимологического анализа профессиональной терминологии позволяет понять механизмы исторического происхождения и трансформации профессионального языка при развитии сферы производства, появлении новых способов обращения с орудием труда и, как следствие, динамику профессиональной картины мира.
[[msvyaplsl 514]]
Психологическая сторона языковой личности выражена совокупностью (иерархией) мотивов, обусловливающей развитие индивида, а ее социальный контекст проявляется в том, что только в обществе, с его регламентированной нормативностью речевого взаимодействия людей возможно появление и развитие личности, в том числе языковой, вообще. Применительно к профессиональной личности, психологический и социальный аспекты языка представлены психологией труда [26; 31; 45] и социолингвистикой [5] соответственно, что позволяет использовать их научный инструментарий при проведении нашего исследования. Особый интерес, по-нашему мнению, вызывает социально- психологическая сторона профессионального языка, которая, в основном, рассматривается психологией профессионального общения [6; 21; 36].
[[msv_yapl_sl51_5]]
Следует отметить пластичность границ языковой личности как объекта лингвистического исследования, которые постоянно расширяются за счет появления новых междисциплинарных эмпирических знаний о человеке говорящем. Например, языковедческие аспекты эмоций ранее находились в фокусе внимания этнопсихолингвистики [33; 36; 44; 50] и лингвокультурологии [40]. Однако развитие средств массовой информации, взаимопроникновение национальных культур, интенсификация межкультурных коммуникаций, формирование глобального языкового сознания современного человека и т. п. создали основу для эмоционального насыщения коммуникативного пространства общества. Это послужило основой для лингвистического изучения эмоций. В. И. Шаховский [58], Ю. Д. Апресян [1], А. Вежбицкая [16], В. Volek [70] и др. пришли к выводу, что коннотативный компонент языковых единиц - эмоции - являются значимым фрагментом языковой картины мира и проявляются в «эмотивности», т.е. свойстве языка выражать аффективные переживания человека.
[[msv_yapl_sl 516]]
Применительно к нашему исследованию языковой профессиональной личности, выделение эмоциональных аспектов в языке позволит раскрыть мотивационные механизмы профессионального общения и формирования образа профессионального мира человека. Однако полная опора на доминантность аффективных переживаний при исследовании языковой профессиональной личности сужает наш исследовательский взгляд на познавательную активность человека говорящего.
[[msv_yapl_s 151 _7]]
Другое антропоцентрическое расширение предмета лингвистики мы отмечаем в лингвоперсонологии - активно развивающемся направлении языкознания. Лингвистическая персонология, или теория языковой личности [38; 43], концентрирует свои усилия на комплексном изучении человека в языке, его тендерных, профессиональных, ментально- психологических языковых особенностях. В настоящий момент это молодое перспективное направление еще определяет свой самостоятельный статус и уточняет терминологический аппарат.
[[msv_yapl_s 151 _8]]
Несмотря на кажущееся соответствие тематики нашей работы лингвоперсонологической проблематике, всё же следует отметить различия в предметах исследования. Лингвоперсонология направлена на изучение сущности и механизмов создания языковых портретов, а также типологии участников дискурса, где особое внимание уделяется стилю речевого взаимодействия субъектов [38]. Наше же исследование направлено, прежде всего, на изучение взаимосвязи субъекта с объективной профессиональной действительностью, на Я-самоопределение человека в профессиональном мире. И принимая во внимание то, что профессиональное общение в нашей модели языковой профессиональной личности является имманентной ее частью, оно выступает лишь в качестве промежуточного звена в деле нахождения субъектом смысла в профессиональной деятельности.
[[msv_yapl_sl52_l]]
Приведенный анализ состояния междисциплинарного изучения показывает, что языковая профессиональная личность как объект научного исследования является открытой системой, а это, в свою очередь, позволяет применить триангуляционный подход [61] ссылка интернет для анализа этого многоаспектного явления, последовательно используя лингвистические, психологические и социальные научные концепции и теории.
[[msvyapls 152 2]]
Для сущностного определения понятия языковой личности следует обратиться к анализу существующих отечественных и зарубежных концепций. Так, В фон Гумбольдт неоднократно отмечал, что «любая отдельная человеческая индивидуальность, взятая в ее отношении к языку, - это особая позиция в видении мира» [22, с. 80]. Этим высказыванием автор подчеркивает примат индивидуальности (и деятельности) в формировании языковой личности по отношению к константной картине мира. Й. J1. Вайсгербер, напротив, развивал идею решающей роли языка в формировании личности. «Он (язык) позволяет человеку объединить весь опыт в единую картину мира и заставляет его забыть о том, как раньше, до того, как он изучил язык, он воспринимал окружающий мир» [15, с. 51]. Эту же позицию разделяет Б. Л. Уорф, который пишет: «...мир предстает перед нами как
калейдоскопический поток впечатлений, который должен быть организован нашим сознанием, а это значит, в основном - языковой системой, хранящейся в нашем сознании» [54, с. 74]. Следует согласиться с тем, что язык есть некая призма или «промежуточный мир», через которую человек взаимодействует с окружающей действительностью, который и обуславливает формирование и своеобразие личности. Однако, с психологической точки зрения, мы не можем принять тезис о пассивном характере формирования языковой личности, обусловленном воздействием языка, т.к. филогенетически психика человека возникает и развивается при условии его активной деятельности. При этом язык приобретаем регулятивную функцию в формировании личности, сознания, а также организующую функцию при создании картины мира. Для нашего исследования это значит, что центральным звеном взаимосвязи языковой профессиональной личности и профессиональной реальности выступает профессиональная картина мира, зафиксированная и овнешненная в специальном языке.
[[m s v_y ар I s 15 2_3 ]]
Работы отечественных ученых также вскрывают значимую взаимосвязь языка и картины мира в процессе формирования языковой личности И. А. Бодуэн де Куртенэ указывает на социально-психологическую природу языковой личности и рассматривает ее, скорее, как общественное образование, как совокупность социально-языковых категорий, нежели как выражение индивидуального творчества [8]. В этом же направлении Ф. И. Буслаев раскрывает лингводидактические аспекты понятия языковой личности, основываясь на принципе единства родного языка и личности ученика. «Родной язык так сросся с личностью каждого, что учить оному - значит вместе с тем и развивать духовные способности учащегося» [14, с. 7]. Как видно, ученые отдают ведущую роль языку при формировании личности, при этом нивелируют значение индивидуальной деятельности человека. Схожие взгляды на природу языковой личности мы встречаем у Г. И. Богина, который разработал лингводидактическую модель языковой личности, представляющую собой «многослойный и многокомпонентный набор языковых способностей, умений, готовностей к осуществлению речевых поступков разной степени сложности, поступков, которые классифицируются, с одной стороны, по видам речевой деятельности (говорение, аудирование, чтение, письмо), а с другой - по уровням языка, т.е. фонетике, грамматике и лексике» [7]. Одним из первых лингвистов, кто выдвинул идею о превалировании индивидуального над социальным в языковой личности, был В. В. Виноградов. Ученый исследовал языковую личность через художественную литера-туру и выделил в качестве ее единичного компонента индивидуальную речевую структуру: «...не только элементы речи, но и композиционные приемы их сочетаний, связанные с особенностями словесного мышления, являются существенными признаками языковых объединений < ..> А личность, включенная в разные из этих —субъектных! сфер и сама включая их в себя, сочетает их в особую структуру < ..> Индивидуальное словесное творчество в своей структуре заключает ряды своеобразно слитных или дифференцированных социально-языковых или идеологически-групповых контекстов, которые осложнены и деформированы специфическими личностными формами» [18, с. 62]. В. В. Виноградов анализирует языковую личность параллельно по двум направлениям: «образу автора» и «художественному образу». Первая линия дает возможность раскрыть историю литературы и частично историю литературного языка. Вторая посвящена анализу индивидуальной речевой структуры, созданию основы для углубленного понимания персонажа. Во взаимодействии этих параллелей и «рождается» языковая личность. М. М. Бахтин, развивая идеи В. В. Виноградова, априорно исходил из самостоятельной ценности сознания персонажа, выделяя три главных момента: 1) речь персонажа в романе не просто передается, а «художественно изображается»; 2) «говорящий человек в романе - существенно социальный человек»; 3) «говорящий человек в романе - всегда в той или иной степени идеолог, а его слово - всегда «идеологема», связанная с «особой точкой зрения на мир» [4, с. 145-146].
[[msv_yapl_sl 52_4]]
Из приведенного анализа видно, что в отечественной науке, наряду с психологической спецификой, особое место в определении языковой личности уделяется социальному аспекту. Еще раз процитируем И. А. Бодуэна де Куртенэ, который пишет по этому поводу: «Так как язык возможен только в человеческом ( переход на 1531)
[[msv_yapl_sl 52_5]]
(начало 152 5) обществе, то, кроме психической, мы должны отмечать в нем всегда сторону социальную. Основанием языковедения должна служить не только индивидуальная психология, но и социология» [9, т. 2, с. 15]. Применительно к нашему исследованию, выделение социального фактора формирования языковой профессиональной личности позволит объяснить механизмы языковой дифференциации профессиональных групп
[[msv_yapl_sl53_l]]
Вместе с тем отмеченные выше подходы не позволяют охарактеризовать языковую профессиональную личность с позиций деятельностного подхода. А связка «деятельность - личность - сознание» является основой нашего исследования. Как справедливо отмечает по этому поводу А. А. Леонтьев, «между образом мира < ..> и реальными поступками человека стоит - личность» [36, с. 280]. Другими словами, основной принцип нашей работы заключается в том, что профессиональный образ мира как часть языкового сознания детерминирует языковую профессиональную личность в деятельностном освоении субъектом объективного мира труда.
[[msv_yapl_sl53_2]]
Наиболее применимой лингвистической концепцией к пониманию человека говорящего в условиях профессиональной деятельности, по нашему мнению, выступает теория языковой личности Ю. Н. Караулова [29]. Автор разработал модель языковой личности, в которой обозначил в качестве отправной точки ее анализа когнитивные, интеллектуальные аспекты человека. «Интеллект наиболее интенсивно проявляется в языке и используется через язык <...> На уровне ординарной языковой семантики, на уровне смысловых связей слов, их сочетаний и лексико-семантических отношений еще нет возможностей для проявления индивидуальности < . > Следовательно, языковая личность начинается по ту сторону обыденного языка, когда в игру вступают интеллектуальные силы...» [Там же, с. 36]. Ю. Н. Караулов и его последователи рассматривают языковую личность как объединение способностей человека и особенностей порождаемых им текстов: «Языковая личность — это совокупность способностей и характеристик человека, обусловливающих восприятие и создание им речевых произведений (текстов), которые различаются степенью структурно-языковой сложности, глубиной и точностью отражения действительности, определенной целевой направленностью» [30, с. 5].
[[msv_yapl_sl 53_3]]
Данная формулировка позволяет выделить в языковой профессиональной личности одновременно несколько аспектов ее изучения: психологический, деятельностный, социальный и лингвистический. Так, опора на процесс восприятия профессиональных текстов (письменных и устных) представляет человека как субъекта социальной профессиональной коммуникации. Лингвистический аспект проявляется в системно-структурной организации профессиональных текстов. Профессиональные тексты закрепляют на языковом уровне профессиональную картину мира как результат отражения субъектом объективной действительности, что обуславливает психологический взгляд на языковую профессиональную личность. И, наконец, выделение цели в текстах дает возможность охарактеризовать языковую профессиональную личность с позиции речевой деятельности.
[[msv_yapl_sl53_4]]
Вместе с тем одновременное введение в определение языковой личности таких явлений, как восприятие и создание речевых произведений, требует отдельного рассмотрения их сочетаемости. Во-первых, отметим, что «создание и восприятие» соотносятся с двумя аспектами ситуации восприятия: первичным формированием образа и опознанием уже сформированного образа [36, с. 127]. Применительно к восприятию профессиональной коммуникации это значит, что субъект, во-первых, реагирует на уже сформированное ранее представление о предмете труда, предъявляемое ему в готовых профессиональных языковых паттернах, а, во-вторых, он строит или создает новый образ, используя элементы уже воспринятых ранее языковых единиц. Исходя из этого, мы видим, что и идентификационный, и созидательный компонент профессиональной речевой деятельности уже объединены ситуацией восприятия, следовательно, разделение восприятия и создания текстов при подходе к определению языковой профессиональной личности не находит своего основания
[[msv_yapl_sl 53 5]]
Далее, обратимся к проблеме смыслового восприятия речи, которая разносторонне представлена работами М. М. Бахтина [4], А. А. Брудного [12], Л. С. Выготского [20], Т. М. Дридзе [23; 24], В. П. Зинченко [27], А. А. Леонтьева [35], Л. Н. Мурзина и А. С. Штерна [42], Р. Л. Солсо [49], Г. Фанта [55] и др. Существующие перцептивные теории выделяют различные единицы смыслового восприятия речи. Прежде всего, моторная теория, согласно которой основа восприятия речи - это артикуляционные признаки речевых элементов [57]. Сенсорная теория отдает предпочтение акустическим, фонемным факторам в перцептивном процессе [55; 67]. Пошаговое принятие решений выделяется пассивным подходом к восприятию речи [56]. Активная теория восприятия предлагает модель «анализа через синтез» и базируется на утверждении, что восприятие (понимание) высказывания есть построение его синтаксической модели в полном или частичном соответствии с исходной [65; 69]. В представленных теориях основной акцент при смысловой характеристике восприятия делается на внешних признаках речи. Однако использование данных подходов к анализу профессиональной коммуникации не позволит составить целостную картину восприятия профессиональных текстов. В этой связи необходимо рассмотреть особенности восприятия текстов как особой формы представления знаний о внешней, по отношению к тексту, действительности.
[[msv_yapl_sl53_6]]
При анализе смысловой перцепции выделяют два основных свойства текста: его связность и цельность [35; 42]. Текст воспринимается единым, если несколько предложений характеризуются признаками связности. А. А. Брудный пишет: «Читаемый текст как бы монтируется в сознании из последовательно сменяющих друг друга предложений, абзацев и глав» [12, с. 142]. Вместе с тем А. А. Леонтьев отмечает второстепенную, по отношению к формированию смыслового единства текста, роль связности. «Признаки связности, - пишет А. А. Леонтьев, - не задаются коммуникативной (речевой) интенцией говорящего, а возникают уже в ходе порождения текста как следствие его цельности. Реципиент использует их не как опору для восстановления общей структуры текста, а лишь как сигналы, определяющие способ текущей обработки этого текста» [36, с. 136]. Другая характеристика текста - его цельность - предполагает иерархическую организацию планов (программ) речевых высказываний, используемую адресатом при восприятии текста. Реципиент (переход 1541)
[[msvyaplsl 53 7]]
(переход с 153 7) ориентируется на внешние признаки цельности как на сигналы, позволяющие ему прогнозировать границы, объем и содержательную структуру воспринимаемого текста еще до его полного предъявления. С этой позиции цельность выступает как характеристика смыслового единства текста. Т. М. Дридзе в связи с этим разделяет центральные и маргинальные смысловые компоненты текста. Первые характеризуются автором как «основная мысль», «предикация», вторые являются периферийными по отношению к первым. Последовательное избавление от избыточных (маргинальных) элементов на различных этапах речевой компрессии позволяет сохранять центральный смысловой компонент текста, что обусловливает цельность восприятия [23, 25].
[[msv_yapl_sl54_l]]
Цельность, обеспечивающая смысловое единство, очень важна для характеристики профессиональных текстов в части формирования индивидуального аспекта языковой профессиональной личности, но недостаточна для объяснения её социального контекста. Ведь сам по себе текст - набор знаков, символов, значений, которые раскрывают предмет в совокупности его свойств и отношений в профессиональной среде. Однако следует учесть, что в нашей работе языковая профессиональная личность представляет собой индивидуально-социальное явление, формирование которого обусловлено её профессиональным самоопределением, т.е. процессом поиска субъектом личностного смысла в трудовой деятельности. Данное обстоятельство обязывает нас анализировать восприятие профессиональных текстов в структуре цельного акта профессиональной коммуникации, в котором только и возможно нахождение субъектом смысла в профессиональной деятельности. Рассмотрение восприятия текста в условиях процесса делового общения обязывает нас обратиться к профессиональному дискурсу. В этой связи С. А. Борисова отмечает, что текст представляет «...собой статический продукт языкового/речевого сознания субъекта, детерминированный потребностями общения и предполагающий определенное воздействие на собеседника/читателя согласно замыслу автора» [10, с. 18-23]. Но только тогда текст наделяется смыслом, когда он включен участниками коммуникации в ситуацию профессионального взаимодействия, т.е. обретает (реальный или потенциальный) контекст Совокупность профессионального текста и его контекста выражается в понятии «профессиональный дискурс», который является экстралингвистической актуализацией текста [19]. Таким образом, при анализе языковой профессиональной личности целесообразно говорить не о текстах, а профессиональном дискурсе, сложно организованном коммуникативном явлении, которое включает специальный текст как лингвистическую составляющую и контекст как совокупность экстралингвистических знаний о профессиональном мире, установках и целях адресата, характере отношений коммуникантов [2; 31].
[[msv_yapl_sl 54J2]]
В процессе профессиональной коммуникации одной из основных её составляющих является понимание участниками содержания профессиональных текстов и всего дискурса в целом [25]. Л. С. Выготский трактует понимание речевого произведения как умение «ориентироваться в сложном внутреннем пространстве, которое можно назвать системой отношений. В этом устанавливании отношений, выделении важного, в сведении и переходе заключается процесс, называемый обычно пониманием» [20, с. 170]. А. А. Брудный характеризует понимание как последовательное изменение структуры воссоздаваемой в сознании ситуации и процесс перемещения мыслительного центра ситуации от одного элемента к другому [12]. А. А. Леонтьев выделяет трансформационную основу понимания: «Понимание текста - это процесс перевода смысла этого текста в любую другую форму его закрепления < ..> понятно то, что может быть иначе выражено». При этом автор выделяет виды трансформации: парафразы, пересказ, перевод, смысловая компрессия, построение образа предмета или ситуации, формирование личностно-смысловых образований, эмоциональная оценка события, выработка алгоритма операций и др. [36, с. 141-142].
[[msv_yapl_sl 54 3]]
Опираясь на трансформационную составляющую понимания речевого произведения А. А. Леонтьева, мы вводим в определение языковой профессиональной личности такую важную характеристику, как оперирование субдискурсами, в частности, и профессиональным дискурсом, в целом. Дело в том, что усвоение профессиональных знаний обуславливает восприятие действительности через призму сформированного профессионального образа, так называемый «профессиональный взгляд» на жизнь. Сразу оговоримся, данный тезис не выходит за рамки психической нормы [И] и действует до границ профессиональной деформации личности, её апперцептивности. Суть заключается в том, что в обыденной жизни взрослый человек взаимодействует с другими, исходя из разных социальных ролей: друг, супруг, покупатель и пр., - но не профессиональной. Когда же возникает необходимость профессионального взаимодействия, субъект начинает воспринимать ситуацию как деловую, при этом происходит сознательное кодовое переключение, переход с обыденного общения на профессиональный язык. Р. Якобсон пишет по этому поводу: «Любой общий код многоморфен и является иерархической совокупностью различных субкодов, свободно избираемых говорящими в зависимости от функции сообщения, адресата и отношений между собеседниками» [66, р. 458]. Переключение с общеупотребительных языковых средств на профессиональный язык подразумевает не только знание специальной терминологии, но и умение распознать адекватную ситуацию и применить эти знания с учетом ситуативного контекста. В связи с этим А. Блументаль отмечал, что для оперирования с предложением существенна не столько синтаксическая, сколько семантическая функция слова, являющегося компонентом предложения [62]. Другими словами, необходимо перевести обыденность на профессиональный язык, переформулировать существующий смысл в специальных терминах. Происходит так называемое переопределение ситуации из обще-репрезентативной формы в индивидуально предпочитаемую, профессиональную [67]. Именно такая трансформация повседневности посредством профессиональных языковых паттернов суть понимания специалистом профессиональной реальности. В связи с этим, наряду с восприятием профессионального дискурса, мы вводим в определение языковой профессиональной личности понятие субдискурсивное оперирование, подразумевающее сознательную трансформацию субъектом обыденной реальности посредством профессиональных текстов в соответствии с актуальными потребностями ситуации профессионально-коммуникативного взаимодействия
[[msvyapls 154 4]]
Вышесказанное позволяет определить языковую профессиональную личность как совокупность языковых компетенций, обуславливающих восприятие и оперирование профессиональными субдискурсами в различных ситуациях профессионально-коммуникативного взаимодействия с учетом ролевых требований профессии, целей профессиональной деятельности и успешностью профессиональной самореализации.
[[msvyaplsl 55_1 ]]
Характеризуя структуру языковой личности, Ю. Н. Караулов выделяет в ней три уровня: 1) вербально-семантический (структурно-языковой) уровень отражает степень владения носителем естественным обыденным языком; 2) лингво-когнитивный уровень состоит из понятий, идей, концептов, образующих уникальную для каждого «картину мира», которая отражает иерархию ценностей; 3) прагматический (мотивационный) уровень - это цели, мотивы, интересы, установки и интенциональности языковой личности, которые «обеспечивают закономерный и обусловленный переход от оценок ее речевой деятельности к осмыслению реальной деятельности в мире» [28, с. 3-8].
[[msvyaplsl 55 2]]
Применительно к структуре языковой профессиональной личности, мы можем выделить следующие уровни: коммуникативно-компетентностный, лингво-когнитивный и мотивационный. В основе изменения структуры языковой личности, применительно к профессиональной деятельности, лежат следующие дефиниции. Во-первых, словарная и грамматическая основа профессионального языка не отличается от общенационального языка, что не позволяет отнести профессиональный язык к целостной системе коммуникации [5]. Во-вторых, при усвоении специальной терминологии априори опираются на уже сформированный уровень владения национальным языком. В-третьих, в профессиональном взаимодействии субъекты коммуницируют, исходя из требований профессиональной роли, что не предполагает использование обыденного языка. В связи с этим нет необходимости в отдельном выделении вербально-семантического уровня при характеристике языковой профессиональной личности. Здесь мы можем сослаться на слова самого Ю. Н. Караулова: «...корни языковой личности лежат в тезаурусе» [29, с. 176]
[[msv_yapl_sl55_3]]
Вместе с тем профессионализация человека невозможна без овладения специальными языком и речью, как основными регуляторами профессиональной деятельности. Еще Л. С Выготский отмечал что, лишь будучи усвоенным, язык становится частью личности и может проявить свою сущность как часть деятельности [20]. Следовательно, выполнить профессиональную деятельность можно стать, лишь усвоив специальный язык. В. А. Мижериков и М. Н. Ермоленко характеризуют профессию как вид деятельности, являющийся источником существования и требующий наличия определенных знаний, умений и навыков [41; 46]. Соответственно, в профессиональной деятельности речь идет не о лексиконе, а только о тезаурусе языковой личности, характеризующем человека как профессионала со стороны языка. Причем здесь рассматривается не сколько степень владения языковыми знаниями и умениями, а, скорее, как основанная на приобретенных профессиональных знаниях, интеллектуальном опыте, ценностях и наклонностях, способность оречевлять и самостоятельно реализовывать профессиональную деятельность. Такая характеристика отражает языковую профессиональную компетентность (компетенцию) субъекта, его речевой портрет, который является важнейшей характеристикой профессиональных качеств личности [32]. Компетентность (компетенция) - это квалификационная характеристика индивида, взятая в момент его включения в деятельность [60]. В нашей работе, в целях избегания возможной терминологической путаницы, мы сознательно не разводим понятия «компетенция» и «компетентность». Для этого мы опираемся на исследования Г. С. Трофимовой, которая описала одно и то же языковое явление с психологической точки зрения как «кохммуникативную компетентность», а с лингвистической - как «коммуникативную компетенцию» [53].
[[msv_yapl_s!55_4]]
Говоря о языковой профессиональной личности, в этом случае на первый план выходит формирование языковой (коммуникативной) компетентности, которая рассматривается как категория, принадлежащая сфере отношений между знанием и практической деятельностью человека. Р. Кэмпбелл и Р. Уэлс дают определение языковой способности (компетенции) как «...способности понимать и порождать высказывания, не столько грамматически правильные, сколько соответствующие контексту, в котором они проявляются» [63, р. 247]. Это дает основания в нашей работе понимать профессиональную коммуникативную компетентность как совокупность способностей успешно осуществлять профессиональное общение в соответствии с целями и задачами профессиональной деятельности на основе приобретенных специальных знаний, умений и навыков. Это обуславливает введение в структуру языковой профессиональной личности коммуникативно-компетентностного уровня
[[msv_yapl_sl55_5]]
Следующий уровень - лингвокогнитивный - представлен профессиональной картиной мира, выраженной тезаурусом, а также образом профессионального мира субъекта, характеризующий отнесенность его к отдельной профессиональной группе.
[[msv_yapl_sl 55 6]]
Мотивационный уровень языковой профессиональной личности представлен системой побудительных факторов,
обуславливающих пристрастность языкового профессионального сознания субъекта, как преломленного отражения объективной действительности.
[[msvyaplsl 55 7]]
Итак, по результатам проведенного анализа языковой профессиональной личности мы можем дать следующие итоговые формулировки: 1) Открытый характер языковой личности как объект научного исследования позволяет исследовать данное явление в структуре профессиональной деятельности. 2) Центральным звеном взаимосвязи языковой профессиональной личности и профессиональной реальности выступает профессиональная картина мира, объективным выражением которой является профессиональный дискурс как совокупность текстов и соответствующих им контекстов. 3) Языковая профессиональная личность - это совокупность языковых компетенций, обуславливающих восприятие и оперирование профессиональными субдискурсами в различных ситуациях профессионально-коммуникативного взаимодействия с учетом ролевых требований (переход с. 156)
[[msv_yapl_sl55_8]]
профессии, целей профессиональной деятельности и успешностью профессиональной самореализации. Где восприятие включает формирование новых и фиксацию уже готовых образов, а субдискурсивное оперирование - сознательную трансформацию субъектом обыденной реальности посредством актуализации профессиональных текстов в соответствии с потребностями ситуации профессионально-коммуникативного взаимодействия. 4) Структура языковой профессиональной личности включает три уровня: а) коммуникативно- компетентностный - совокупность выработанных умений осуществлять профессиональное общение в соответствии с потребностями коммуникативной ситуации и целями профессиональной деятельности; б) лингво-когнитивный - представлен профессиональной картиной мира, выраженной тезаурусом, а также образом профессионального мира субъекта, характеризующим отнесенность его к отдельной профессиональной группе; в) мотивационный - система побудительных факторов, обуславливающих пристрастность языкового профессионального сознания субъекта в отражении объективного мира труда в соответствии с личностными смыслами.
Мыскин Сергей Владимирович
* [[Психолингвистическая модель профессионального самоопределения личности]]
* [[Языковая профессиональная личность]]
* [[Теоретико-методологические аспекты теории языковой профессиональной личности]]
* [[Автореферат Мыcкин]]
* [[Диссертация|ДиссертацияМыскинСВ]]
* [[Введение в теорию профессионального языкового сознания: Монография.]]
ТЕОРЕТИКО-МЕТОДОЛОГИЧЕСКИЕ АСПЕКТЫ ТЕОРИИ ЯЗЫКОВОЙ ПРОФЕССИОНАЛЬНОЙ ЛИЧНОСТИ
[[Термины]]
| [[На]] | [[Не]] | [[Но]] |
Временная перспектива личности при аффективных расстройствах: обзор научных исследований
Пятифакторная модель личности: общий обзор
Психолингвистический анализ ассоциаций концептов «мужчина» и «женщина» у тюркоязычных народов Сибири
Сравнительный анализ самореализации личности российских и иностранных студентов
Кластерный анализ свойств темперамента [ext[ссылка|http://journals.rudn.ru/psychology-pedagogics/article/view/8098/7549]]
Ретроспективный анализ развития высшего университетского образования в России и за рубежом
Ретроспективный анализ понятия «Педагогическая технология» в отечественной и зарубежной педагогике xx - начала XXI вв [ext[ссылка|https://cyberleninka.ru/article/n/retrospektivnyy-analiz-ponyatiya-pedagogicheskaya-tehnologiya-v-otechestvennoy-i-zarubezhnoy-pedagogike-xx-nachala-xxi-vv]]
[[Ретроспективный анализ как метод прогностических исследований в педагогике]] [ext[ссылка на автореферат |http://nauka-pedagogika.com/pedagogika-13-00-01/dissertaciya-retrospektivnyy-analiz-kak-metod-prognosticheskih-issledovaniy-v-pedagogike#ixzz6RWAZKlDm]]
Налимов В.В. Вероятностная модель языка. О соотношении естественных и искусственных языков. 2-е изд., перераб. и доп. М.: Наука, 1979.
*[ext[ссылка в библиотеку pdf|file:///D:/BI/0-0000-0000-6.pdf]]
*[ext[ссылка в библиотеку docx|file:///D:/BI/0-0000-0000-6.docx]]
*[ext[ссылка в библиотеку djvu|file:///D:/BI/0-0000-0000-6.djvu]]
стр 5 С позиций кибернетики и науку мо@@color:red;жн@@о рассматривать как самоорганизующуюся систему, которая ведет себя как живой организм: в процессе ее развития возникают существенно новые, заранее не предсказуемые идеи, проходящие в дальнейшем путь сложной эволюции.
стр 7
Оставаясь на позициях кибернетики, мы рассматриваем язык как @@color:red; н@@екоторый организм, полагая, что, возникнув под влиянием определенных (может быть, еще далеко не понятых нами, тем более в деталях) причин, он продолжает самостоятельно развиваться, проходя свой, специфический путь эволюции и оказывая подчас решающее влияние на иерархически выше стоящие системы, скажем на мышление человека. Взгляд на язык как на не-которую самостоятельную систему можно найти у многих лингвистов еще в докибернетический период; об этом, например, говорили еще немецкие лингвисты Гумбольдт и Шлейхер, а значительно позднее швейцарские лингвисты Соссюр и Балли.
Неверов В.Н. Психологическая структура осознанной саморегуляции учебной деятельности студентов
[ext[ссылка|https://viewer.rusneb.ru/ru/000199_000009_005464612?page=1&rotate=0&theme=white]]
[ext[ссылка в E/Dis|file:///E:/Dis/Dis16]]
Нестеренко В.М. [ext[ссылка|https://viewer.rusneb.ru/ru/000199_000009_000283422?page=28&rotate=0&theme=white]]
Нестернеко В.М. Проектирование учебно-технической среды профессионально-личностного саморазвития студентов технических вузов
[ext[ссылка НЭБ|https://viewer.rusneb.ru/ru/000199_000009_000283422?page=1&rotate=0&theme=white]]
*[ext[ссылка в Dis13|file:///C:\Users\nsa\Documents\Dis13]]
*[ext[ссылка в E/Dis|file:///E:/Dis/Dis13]]
Формирование «вторичной языковой личности: психолого-педагогические аспекты
[ext[ссылка|https://linguanet.ru/science/conferences/Konfer-2013/kabinet-2013/Nethaev-19.06.13.pdf]]
p::first-letter {
text-transform: uppercase;
}
текст вставлять сюда
<div class="primer3">@@color:red; Новый текст @@</div>
<div class="primer2">@@color:red; НОВЫЙ ТТт @@</div>
http://know-online.com/post/html-css-registr-texta
var text = "JavaScript";
text.toLowerCase();
* СООТНОШЕНИЕ ПОНЯТИЙ "РЕЧЕВОЙ ПОРТРЕТ" И "ЯЗЫКОВАЯ ЛИЧНОСТЬ" [ext[ссылка|https://www.elibrary.ru/item.asp?id=37637537]]
* ЯЗЫКОВАЯ ЛИЧНОСТЬ В АСПЕКТЕ ТЕОРИИ КОГНИТИВНЫХ СТИЛЕЙ[ext[ссылка|https://www.elibrary.ru/item.asp?id=41349854]]
* ПОНЯТИЕ "ЯЗЫКОВАЯ ЛИЧНОСТЬ" В СФЕРЕ ПРОФЕССИОНАЛЬНОЙ КОММУНИКАЦИИ [ext[ссылка|https://www.elibrary.ru/item.asp?id=29947328]] словари
* СОЦИОЛОГИЧЕСКОЕ ИССЛЕДОВАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ МЕТОДОМ КОНТЕНТ-АНАЛИЗА: ЭТНИЧЕСКИЕ ВОПРОСЫ [ext[ссылка|https://www.elibrary.ru/item.asp?id=30575920]] Контент-анализ Жириновский
* ФЕНОМЕН ЯЗЫКОВОЙ ЛИЧНОСТИ В ОТЕЧЕСТВЕННОЙ ПЕДАГОГИЧЕСКОЙ ЛИТЕРАТУРЕ [ext[ссылка|https://www.elibrary.ru/item.asp?id=30611543]] для статьи
* РЕЧЕВАЯ ДЕЯТЕЛЬНОСТЬ И ЯЗЫКОВАЯ ЛИЧНОСТЬ [ext[ссылка|https://www.elibrary.ru/item.asp?id=30660083]] экспресс-диагностики свойств и черт личности
* ТИПЫ ЧТЕНИЯ И УРОВНЕВАЯ ОРГАНИЗАЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ [ext[ссылка|https://www.elibrary.ru/item.asp?id=30778782]] вторичная (третичная ял)
* СООТНОШЕНИЕ ХАРАКТЕРИСТИК СИГНАЛЬНОСТИ, ТЕМПЕРАМЕНТА И ПСИХОЛОГИЧЕСКИХ КОМПОНЕНТОВ РЕЧЕВЫХ ДЕЙСТВИЙ ЯЗЫКОВОЙ ЛИЧНОСТИ [ext[ссылка|https://www.elibrary.ru/item.asp?id=32796424]] помощью методики многоуровневого, поликомпонентного анализа текста Н.А. Фоминой. Материалы статьи будут интересны всем, кто занимается исследованием свойств личности и индивидуальности, в том числе личности языковой.
* Фомина. [[Речевая диагностика целостной сущности личности]]
* СОПОСТАВИТЕЛЬНЫЙ АНАЛИЗ РЕГУЛЯТИВНОГО ПОТЕНЦИАЛА МЕДИАТЕКСТОВ РАЗНЫХ ЖАНРОВ В ДИСКУРСАХ ИНФОРМАЦИОННО-МЕДИЙНЫХ ЯЗЫКОВЫХ ЛИЧНОСТЕЙ [ext[ссылка|https://www.elibrary.ru/item.asp?id=27199092]] регуляция
*КВАНТИТАТИВНЫЙ ПОДХОД К МОДЕЛИРОВАНИЮ ЯЗЫКОВЫХ ПРОЦЕССОВ: ИССЛЕДОВАНИЕ ПРАГМАТИЧЕСКИХ ХАРАКТЕРИСТИК ЯЗЫКОВОЙ ЛИЧНОСТИ ПЕРЕВОДЧИКА [ext[ссылка|https://www.elibrary.ru/item.asp?id=26206781]] программа AntCont
*ИДЕНТИФИКАЦИЯ ТЕКСТА ПО ЕГО АВТОРСКОЙ ПРИНАДЛЕЖНОСТИ НА ЛЕКСИЧЕСКОМ УРОВНЕ ([[ФОРМАЛЬНО-КОЛИЧЕСТВЕННАЯ МОДЕЛЬ]])
* [[ЛИНГВОРИТОРИКА]]: САМОПРОЕКТИРОВАНИЕ СИЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (СХЕМЫ, ТАБЛИЦЫ, АЛГОРИТМЫ, САМОНАСТРОИ)
* ОЦЕНКА РЕЗУЛЬТАТОВ ЯЗЫКОВОГО РАЗВИТИЯ ЛИЧНОСТИ В СИСТЕМЕ ОБЩЕГО ОБРАЗОВАНИЯ: ДИАГНОСТИЧЕСКИЙ ИНСТРУМЕНТАРИЙ [ext[ссылка|https://www.elibrary.ru/item.asp?id=27653934]]
*ТЕРМИНОЛОГИЧЕСКОЕ МИКРОПОЛЕ "ЯЗЫКОВАЯ ЛИЧНОСТЬ" [ext[ссылка|https://www.elibrary.ru/item.asp?id=25350423]]
*К ПОСТРОЕНИЮ МОДЕЛИ ЯЗЫКОВОЙ ЛИЧНОСТИ ПРАВОСЛАВНОГО ПРОПОВЕДНИКА [ext[ссылка|https://elibrary.ru/item.asp?id=23072411]] модель караулова и богина
*ВИРТУАЛЬНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ: К ОПРЕДЕЛЕНИЮ ПОНЯТИЯ [ext[ссылка|https://elibrary.ru/item.asp?id=23135901]]
*МЕТАЯЗЫК КАК ПЕДАГОГИЧЕСКИЙ ФЕНОМЕН И ЕГО РОЛЬ В ЯЗЫКОВОМ РАЗВИТИИ ЛИЧНОСТИ В ШКОЛЕ [ext[ссылка|https://elibrary.ru/item.asp?id=23376410]]
*ЭВОЛЮЦИЯ ПРЕДСТАВЛЕНИЙ О ЯЗЫКОВОЙ ЛИЧНОСТИ В ИСТОРИИ ОТЕЧЕСТВЕННОГО СОЦИАЛЬНО-ГУМАНИТАРНОГО ЗНАНИЯ [ext[ссылка|https://elibrary.ru/item.asp?id=24214750]]
*ОСОБЕННОСТИ ПОЛЕВОЙ СТРУКТУРЫ "НАИВНОГО ЛИТЕРАТУРОВЕДЕНИЯ" КАК ФРАГМЕНТА ЛЕКСИКОНА ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ "РУССКОГО АССОЦИАТИВНОГО СЛОВАРЯ") [ext[ссылка|https://elibrary.ru/item.asp?id=23819533]]
*ЯЗЫКОВАЯ ЛИЧНОСТЬ: ПРОБЛЕМЫ ОСОЗНАНИЯ ЕЕ СУЩНОСТИ И СОВРЕМЕННАЯ ЛИНГВИСТИЧЕСКАЯ ИНТЕРПРЕТАЦИЯ [ext[ссылка|https://elibrary.ru/item.asp?id=37598371]] ял 2009-2014
*ПОНЯТИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ В АНТРОПОЦЕНТРИЧЕСКОЙ ЛИНГВИСТИКЕ [ext[ссылка|https://elibrary.ru/item.asp?id=28297003]]
*СТРУКТУРА ФРЕЙМА "ЛИЧНОСТЬ" И ЕГО ЯЗЫКОВАЯ МАНИФЕСТАЦИЯ [ext[ссылка|https://elibrary.ru/item.asp?id=21298637]]
*ДИНАМИЧЕСКИЕ ПРОЦЕССЫ В ЛЕКСИКОНЕ ЯЗЫКОВОЙ ЛИЧНОСТИ [ext[ссылка|https://elibrary.ru/item.asp?id=21621660]]
*ТЕРМИНОЛОГИЧЕСКИЕ ЕДИНИЦЫ КАК ЗНАКОВЫЕ МОДЕЛИ ЛИНГВОКОГНИТИВНОЙ КОМПЕТЕНЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ В СФЕРЕ ПРОФЕССИОНАЛЬНОЙ ДЕЯТЕЛЬНОСТИ [ext[ссылка|https://elibrary.ru/item.asp?id=26246693]]
*ЯЗЫКОВАЯ ЛИЧНОСТЬ, РЕЧЕВОЙ ПОРТРЕТ, РЕЧЕВОЙ ПАСПОРТ: К ВОПРОСУ О СОПОСТАВЛЕНИИ ПОНЯТИЙ [ext[ссылка|https://elibrary.ru/item.asp?id=22935850]]
*КОГНИТИВНО-КРЕАТИВНАЯ СРЕДА КАК УСЛОВИЕ ФОРМИРОВАНИЯ БИЛИНГВАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ [ext[ссылка|https://elibrary.ru/item.asp?id=23700047]]
*АНАЛИЗ ЛИНГВОМЕТОДИЧЕСКИХ МОДЕЛЕЙ СТРУКТУРЫ ЯЗЫКОВОЙ ЛИЧНОСТИ [ext[ссылка|https://elibrary.ru/item.asp?id=20390399]] сравнение модели караулова и богина
* ЯЗЫКОВАЯ ЛИЧНОСТЬ: К ВОПРОСУ ОБ ИНТЕРПРЕТАЦИИ ТЕРМИНА [ext[ссылка|https://elibrary.ru/item.asp?id=19107219]]
* ЛИНГВО-ИНФОРМАЦИОННЫЙ ПЕРИОД РАЗВИТИЯ ПРОБЛЕМЫ ФОРМИРОВАНИЯ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ В СИСТЕМЕ ПРОФЕССИОНАЛЬНОГО ЛИНГВИСТИЧЕСКОГО ОБРАЗОВАНИЯ [ext[ссылка|https://elibrary.ru/item.asp?id=18899588]] [[ЛИНГВО-ИНФОРМАЦИОННЫЙ]]
*СОЦИАЛЬНО-ФИЛОСОФСКИЙ АНАЛИЗ ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ [ext[ссылка|https://elibrary.ru/item.asp?id=21395445]] @@color:red; инженеры и язык@@
*К ВОПРОСУ ОБ ИЗМЕРЕНИИ КОМПЕТЕНЦИЙ ЯЗЫКОВОЙ ЛИЧНОСТИ [ext[ссылка|https://elibrary.ru/item.asp?id=20167074]]
*РЕГУЛЯЦИЯ ИНДИВИДУАЛЬНОГО СТИЛЯ ИНОЯЗЫЧНОГО ОБЩЕНИЯ КАК СОСТАВЛЯЮЩАЯ ДЕЯТЕЛЬНОСТИ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ [ext[ссылка|https://elibrary.ru/item.asp?id=18942955]]
*ИНДИВИДУАЛЬНЫЙ ТЕЗАУРУС КАК СИСТЕМА ЗНАНИЙ: СООТНОШЕНИЕ ПОНЯТИЙ "ИНДИВИДУАЛЬНЫЙ ТЕЗАУРУС" И "ЯЗЫКОВАЯ ЛИЧНОСТЬ" [ext[ссылка|https://elibrary.ru/item.asp?id=17567961]]
*ЯЗЫКОВАЯ ЛИЧНОСТЬ И ГИПЕРТЕКСТ [ext[ссылка|https://www.elibrary.ru/item.asp?id=25085318]]
*ИНДИВИДУАЛЬНЫЙ ТЕЗАУРУС КАК СИСТЕМА ЗНАНИЙ: СООТНОШЕНИЕ ПОНЯТИЙ "ИНДИВИДУАЛЬНЫЙ ТЕЗАУРУС" И "ЯЗЫКОВАЯ ЛИЧНОСТЬ" [ext[ссылка|https://www.elibrary.ru/item.asp?id=22415442]]
*Архипов ЯЗЫК И ЯЗЫКОВАЯ ЛИЧНОСТЬИ.К. @@color:red; В книге: Технологии извлечения, обработки и анализа информации.@@
ВТОРИЧНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ И ПРОФЕССИОНАЛИЗМ ИНОЯЗЫЧНОГО ОБЩЕНИЯ [ext[ссылка|https://www.elibrary.ru/item.asp?id=11667351]] цифры
*«[[Психолингвистика и лексикография]]»
* @@color:red; УЧЕТ ПРАГМАТИЧЕСКОГО И КОММУНИКАТИВНОГО УРОВНЕЙ ПРИ МОДЕЛИРОВАНИИ БАЗОВОГО ПОРТРЕТА ЯЗЫКОВОЙ ЛИЧНОСТИ СПЕЦИАЛИСТА ИНЖЕНЕРНОГО ПРОФИЛЯ В ЦЕЛЯХ СОЗДАНИЯ МОДУЛЬНЫХ ТЕСТОВ@@ [ext[ссылка|https://www.elibrary.ru/item.asp?id=42459163]]
* Индивидуальность и саморегуляция В.А. Петрвский [ext[ссылка|https://petrowskiy.ru/publish/indiv.html]]
АКМЕ-СТРАТЕГИЯ ПРОФЕССИОНАЛЬНОГО САМОРАЗВИТИЯ КАК АСПЕКТ ТЕХНОЛОГИИ САМОРАЗВИТИЯ ЛИЧНОСТИ
ДУХОВНЫЙ ПОРТРЕТ ТВОРЧЕСКОЙ ЛИЧНОСТИ (ТВОРЧЕСКИЙ ПОРТРЕТ ПЕРСОНАЛИИ КАК ПРОФЕССИОНАЛЬНО ЗНАЧИМЫЙ ЖАНР РЕЧИ ПЕДАГОГА)
ХОМЯКОВ О ЦЕЛОСТНОСТИ ЛИЧНОСТИ В КОНТЕКСТЕ СОВРЕМЕННОЙ ПЕДАГОГИЧЕСКОЙ НАУКИ
АВТОНОМИЯ ЛИЧНОСТИ КАК УСЛОВИЕ АДАПТАЦИИ ВЫПУСКНИКОВ ВУЗОВ К РЫНКУ ТРУДА
АВТОНОМНАЯ ПОЗИЦИЯ ЛИЧНОСТИ СТУДЕНТА В УЧЕБНОЙ ДЕЯТЕЛЬНОСТИ
АВТОР КАК ТВОРЧЕСКАЯ ЛИЧНОСТЬ В ПИСЬМАХ БУЛГАКОВА
АДАПТАЦИОННЫЕ СПОСОБНОСТИ ЛИЧНОСТИ ВОЕННОСЛУЖАЩЕГО КАК ФАКТОР УСПЕХА ЕГО ПРОФЕССИОНАЛЬНОЙ ДЕЯТЕЛЬНОСТИ
АДАПТАЦИОННЫЙ ПОТЕНЦИАЛ ЛИЧНОСТИ ПЕДАГОГА ОБЩЕГО ОБРАЗОВАНИЯ КАК ФАКТОР ПСИХОЛОГИЧЕСКОЙ БЕЗОПАСНОСТИ ОБРАЗОВАТЕЛЬНОЙ СРЕДЫ
АДАПТАЦИЯ КУРСАНТОВ К ВУЗОВСКОМУ ОБУЧЕНИЮ В СТРАТЕГИИ ФОРМИРОВАНИЯ ПРОФЕССИОНАЛЬНОЙ УСТОЙЧИВОСТИ ЛИЧНОСТИ
АДАПТИВНО-АКМЕПЕДАГОГИЧЕСКИЙ ПОДХОД КАК КОНСТРУКТ И УСЛОВИЕ ОПТИМИЗАЦИИ КАЧЕСТВА ФОРМИРОВАНИЯ КУЛЬТУРЫ САМОСТОЯТЕЛЬНОЙ РАБОТЫ ЛИЧНОСТИ
АДАПТИВНОЕ ПОВЕДЕНИЕ ЛИЧНОСТИ В МЕЖЛИЧНОСТНОМ КОНФЛИКТЕ
АКМЕОЛОГИЧЕСКОЕ РАЗВИТИЕ ЛИЧНОСТИ БУДУЩЕГО ПСИХОЛОГА КАК ОСНОВА ПРОФЕССИОНАЛЬНОЙ КОМПЕТЕНТНОСТИ
АКСИОЛОГИЧЕСКИЕ АСПЕКТЫ ВОСПИТАНИЯ СПОРТИВНОЙ КУЛЬТУРЫ ЛИЧНОСТИ СТУДЕНТОВ ВУЗА ФИЗИЧЕСКОЙ КУЛЬТУРЫ
АКСИОЛОГИЧЕСКИЕ АСПЕКТЫ ВОСПИТАНИЯ СПОРТИВНОЙ КУЛЬТУРЫ ЛИЧНОСТИ СТУДЕНТОВ ВУЗА ФИЗИЧЕСКОЙ КУЛЬТУРЫ
АКСИОЛОГИЧЕСКИЕ АСПЕКТЫ ВОСПИТАНИЯ СПОРТИВНОЙ КУЛЬТУРЫ ЛИЧНОСТИ СТУДЕНТОВ ВУЗА ФИЗИЧЕСКОЙ КУЛЬТУРЫ
АКСИОЛОГИЧЕСКОЕ ИЗМЕРЕНИЕ КАТЕГОРИИ ПРАВА И ЕГО РОЛЬ В ПРОЦЕССЕ ФОРМИРОВАНИЯ ЛИЧНОСТИ КУРСАНТА
АКСИОЛОГИЯ ДУХОВНОГО СТАНОВЛЕНИЯ ЛИЧНОСТИ В ОТЕЧЕСТВЕННОЙ ОБРАЗОВАТЕЛЬНОЙ КУЛЬТУРЕ
АКТИВИЗАЦИЯ ЛИЧНОСТИ УЧАЩИХСЯ ЧЕРЕЗ УЧЕБНО-ИССЛЕДОВАТЕЛЬСКУЮ И ПРОЕКТНУЮ ДЕЯТЕЛЬНОСТЬ В ШКОЛЕ
АКТУАЛИЗАЦИЯ МОТИВАЦИОННОЙ СФЕРЫ ЛИЧНОСТИ СТУДЕНТА В ПРОЦЕССЕ ФОРМИРОВАНИЯ ЕГО СУБЪЕКТНОЙ ПОЗИЦИИ
АКТУАЛЬНЫЕ ВОПРОСЫ ГУМАНИТАРНОГО ОБРАЗОВАНИЯ ЛИЧНОСТИ В АСПЕКТЕ СОВРЕМЕННЫХ ОБРАЗОВАТЕЛЬНЫХ ЦЕННОСТЕЙ
АКТУАЛЬНЫЕ ПРОБЛЕМЫ ПСИХОЛОГО-ПЕДАГОГИЧЕСКОГО СОПРОВОЖДЕНИЯ ЛИЧНОСТИ
АКТУАЛЬНЫЕ ПРОБЛЕМЫ РАЗВИТИЯ ЛИЧНОСТИ В СОВРЕМЕННОМ СОЦИОКУЛЬТУРНОМ ПРОСТРАНСТВЕ
АКТУАЛЬНЫЕ СМЫСЛОВЫЕ СОСТОЯНИЯ ПЕДАГОГОВ ПЕРЕЖИВАЮЩИХ ПРОФЕССИОНАЛЬНЫЙ КРИЗИС ЛИЧНОСТИ
АМБИЦИОЗНОСТЬ ЛИЧНОСТИ В ПРОФЕССИИ ПЕДАГОГ ЧАСТЬОБ АМБИЦИЯХ КАК ТАКОВЫХ
АМБИЦИОЗНОСТЬ ЛИЧНОСТИ В ПРОФЕССИИ ПЕДАГОГ ЧАСТЬОБ АМБИЦИЯХ В ПРОФЕССИИ ПЕДАГОГА
АНАЛИЗ ПОНЯТИЯ САМОРЕАЛИЗАЦИИ КАК ОСНОВЫ ДУХОВНОЙ СОСТАВЛЯЮЩЕЙ ФИЗИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ
АНАЛИЗ ПОНЯТИЯ САМОРЕАЛИЗАЦИИ КАК ОСНОВЫ ДУХОВНОЙ СОСТАВЛЯЮЩЕЙ ФИЗИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ
АНАЛИЗ ПРИОРИТЕТНЫХ КАЧЕСТВ ЛИЧНОСТИ ПЕДАГОГА МЕДИЦИНСКОГО ВУЗА В КОНТЕКСТЕ ОПТИМИЗАЦИИ УЧЕБНОГО ПРОЦЕССА
АНАЛИЗ РАЗВИТИЯ ОРГАНИЗАЦИОННО-ПРАВОВЫХ УСЛОВИЙ РЕАЛИЗАЦИИ ГОСУДАРСТВЕННОЙ МОЛОДЕЖНОЙ ПОЛИТИКИ РОССИЙСКОЙ ФЕДЕРАЦИИ В АСПЕКТЕ ВОСПИТАНИЯ СОЦИАЛЬНО ОТВЕТСТВЕННОЙ ЛИЧНОСТИ
АНАЛИЗ ТЕМ ДОКТОРСКИХ ДИССЕРТАЦИЙ ПО ПСИХОЛОГИИ НАПРАВЛЕННЫХ НА ИЗУЧЕНИЕ ЛИЧНОСТИ ПЕДАГОГА ( Г)
АНАЛИЗ УСЛОВИЙ СТАНОВЛЕНИЯ ЛИЧНОСТИ СТУДЕНТОВ АЭРОКОСМИЧЕСКОГО ВУЗА ПРИ ОБУЧЕНИИ ИНОСТРАННОМУ ЯЗЫКУ СПЕЦИАЛЬНОСТИ (НА ПРИМЕРЕ МАИ (НИУ))
АНАЛИТИКО-ТЕОРЕТИЧЕСКИЕ ПОДХОДЫ К КОНЦЕПТУАЛЬНОМУ ОПРЕДЕЛЕНИЮ МЕСТА И РОЛИ ФИЗИЧЕСКОЙ КУЛЬТУРЫ И СПОРТА В НРАВСТВЕННОМ РАЗВИТИИ ЛИЧНОСТИ КУРСАНТА
АНСАМБЛЬ СВОЙСТВ ЛИЧНОСТИ: ТРИАЛЕКТИЧЕСКОЕ РАЗВИТИЕ ПРЕАДАПТИВНЫХ ВОЗМОЖНОСТЕЙ
АНТИДОПИНГОВАЯ КУЛЬТУРА В СИСТЕМЕ КУЛЬТУРЫ ЛИЧНОСТИ
АНТИКОРРУПЦИОННАЯ КУЛЬТУРА КАК АНТРОПОЛОГИЧЕСКОЕ СРЕДСТВО СОЦИАЛИЗАЦИИ ЛИЧНОСТИ
АНТИМОДА-МАСКА ИЛИ ВЫРАЖЕНИЕ ЛИЧНОСТИ
АНТРОПОЛОГИЧЕСКИЙ ПОДХОД В ВОСПИТАНИИ ЖИЗНЕСТОЙКОСТИ И ЦЕЛЬНОСТИ ЛИЧНОСТИ У ПОДРОСТКОВ КАК ФАКТОР УСТОЙЧИВОСТИ К ЗАВИСИМОСТЯМ
АСОЦИАЛЬНЫЕ ПРОЯВЛЕНИЯ ЛИЧНОСТИ: ПРОБЛЕМЫ ПРОФИЛАКТИКИ
АСПЕКТЫ ИЗУЧЕНИЯ И ВОЗМОЖНОСТИ ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ СОВРЕМЕННОГО СТУДЕНТА
АТРИБУЦИЯ ЛИЧНОСТНЫХ КАЧЕСТВ ПРЕПОДАВАТЕЛЯМ В УСЛОВИЯХ ВИДЕОЛЕКЦИИ В КОНТЕКСТЕ СОЦИАЛЬНО-ПСИХОЛОГИЧЕСКИХ ХАРАКТЕРИСТИК ЛИЧНОСТИ СТУДЕНТОВ
АФФЕКТИВНЫЙ АСПЕКТ ИДЕНТИЧНОСТИ ЛИЧНОСТИ В УСЛОВИЯХ ВИРТУАЛЬНОЙ СРЕДЫ
БАЗОВЫЕ УРОВНИ ЗНАНИЙ И ФОРМИРОВАНИЕ ЛИЧНОСТИ СТУДЕНТОВ В НЕЯЗЫКОВЫХ ВУЗАХ
БАЗОВЫЙ ПОБУДИТЕЛЬНЫЙ МЕХАНИЗМ СОЦИАЛЬНОЙ АКТИВНОСТИ ЛИЧНОСТИ
ШАДРИКОВ: УЧЕНЫЙ ПСИХОЛОГ ПЕДАГОГ ГОСУДАРСТВЕННЫЙ ДЕЯТЕЛЬ ЛИЧНОСТЬ
ВАЖНОСТЬ ЗАНЯТИЙ ФИЗИЧЕСКОЙ КУЛЬТУРЫ В СТАНОВЛЕНИИ ЛИЧНОСТИ ЧЕЛОВЕКА
ВАЖНОСТЬ ПСИХОЛОГО-ПЕДАГОГИЧЕСКИХ ХАРАКТЕРИСТИК ЛИЧНОСТИ ВОЖАТОГО В ПРОЦЕССЕ ВОСПИТАНИЯ ДЕТЕЙ
ВАЖНОСТЬ ТРЕБОВАНИЙ НА САМОРАЗВИТИЕ КАК ФАКТОР ФОРМИРОВАНИЯ ЛИЧНОСТИ УЧАЩИХСЯ В ВОСПИТАТЕЛЬНОМ ПРОЦЕССЕ
ВВЕДЕНИЕ ЛИЧНОСТИ РЕБЕНКА И ЕГО РОДИТЕЛЕЙ В ДУХОВНУЮ АТМОСФЕРУ И КУЛЬТУРУ РОДНОГО ГОРОДА ПОСРЕДСТВОМ ОЗНАКОМЛЕНИЯ С ТВОРЧЕСТВОМ МЕСТНЫХ ХУДОЖНИКОВ
ВЕРА . ЛИЧНОСТЬ . ОБРАЗОВАНИЕ
ВЗАИМОДЕЙСТВИЕ ОБРАЗОВАТЕЛЬНОГО УЧРЕЖДЕНИЯ И СЕМЬИ В РАЗВИТИИ ЛИЧНОСТИ РЕБЕНКА-ДОШКОЛЬНИКА
ВЗАИМОСВЯЗЬ АССЕРТИВНОСТИ ЛИЧНОСТИ С КОММУНИКАТИВНОЙ ТОЛЕРАНТНОСТЬЮ У СТУДЕНТОВ ТЕХНИЧЕСКОГО ВУЗА
ВЗАИМОСВЯЗЬ ВИКТИМНОЙ ДЕФОРМАЦИИ ЛИЧНОСТИ И СКЛОННОСТИ К ВИКТИМНОМУ ПОВЕДЕНИЮ В ПОДРОСТКОВОМ И ЮНОШЕСКОМ ВОЗРАСТАХ
ВЗАИМОСВЯЗЬ ВРЕМЕННОЙ ПЕРСПЕКТИВЫ С УРОВНЕМ ЛИЧНОСТНОЙ И СИТУАТИВНОЙ ТРЕВОЖНОСТИ ЛИЧНОСТИ
ВЗАИМОСВЯЗЬ ДУХОВНОСТИ ТВОРЧЕСТВА И КРЕАТИВНОСТИ ЛИЧНОСТИ
ВЗАИМОСВЯЗЬ ЗАВИСТЛИВОСТИ И ХАРАКТЕРИСТИК ОБЪЕКТИВНОГО И СУБЪЕКТИВНОГО ЭКОНОМИЧЕСКОГО БЛАГОПОЛУЧИЯ ЛИЧНОСТИ
ВЗАИМОСВЯЗЬ ИННОВАТИВНЫХ КАЧЕСТВ ЛИЧНОСТИ И САМОРЕГУЛЯЦИИ У СТУДЕНТОВ
ВЗАИМОСВЯЗЬ МОТИВАЦИИ И ТИПА НАПРАВЛЕННОСТИ ЛИЧНОСТИ
ВЗАИМОСВЯЗЬ ПРОГНОЗА ПРОФЕССИОНАЛЬНОЙ ЭФФЕКТИВНОСТИ И ЧЕРТ ЛИЧНОСТИ СТУДЕНТОВ-ПСИХОЛОГОВ СО СКЛОННОСТЬЮ К ОТДЕЛЬНЫМ ВИДАМ ЛЖИ
ВЗАИМОСВЯЗЬ САМООЦЕНКИ ЛИЧНОСТИ СТУДЕНТОВ ФИЗКУЛЬТУРНОГО ВУЗА С МОТИВАМИ ПРОФЕССИОНАЛЬНОЙ ДЕЯТЕЛЬНОСТИ
ВЗАИМОСВЯЗЬ СТРУКТУРНЫХ КОМПОНЕНТОВ СИНДРОМА ПСИХИЧЕСКОГО ВЫГОРАНИЯ И ПРОФЕССИОНАЛЬНОЙ ДЕФОРМАЦИИ ЛИЧНОСТИ У ПЕДАГОГОВ
ВЗАИМОСВЯЗЬ СТРУКТУРЫ ЛИЧНОСТИ С РЕЗУЛЬТАТИВНОСТЬЮ БАСКЕТБОЛИСТОВ РОССИЙСКОЙ И КИТАЙСКОЙ СТУДЕНЧЕСКИХ СБОРНЫХ КОМАНД
ВЗАИМОСВЯЗЬ ТВОРЧЕСКОГО ПОТЕНЦИАЛА ЛИЧНОСТИ С ОСОБЕННОСТЯМИ САНОГЕННОЙ РЕФЛЕКСИИ
ВЗАИМОСВЯЗЬ ТВОРЧЕСТВА КАК РЕСУРСА ЛИЧНОСТИ И СИНДРОМА ВЫГОРАНИЯ.
ВЗАИМОСВЯЗЬ УРОВНЯ САМОКОНТРОЛЯ И ВОЛЕВЫХ СВОЙСТВ ЛИЧНОСТИ У СТУДЕНТОВ-ПСИХОЛОГОВ.
ВЗАИМОСВЯЗЬ ШКОЛЬНОЙ УСПЕВАЕМОСТИ И ВОЛЕВЫХ КАЧЕСТВ ЛИЧНОСТИ В ЮНОШЕСКОМ ВОЗРАСТЕ.
ВЗАИМОСВЯЗЬ ЭМОЦИОНАЛЬНОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ И МОТИВОВ ВЫБОРА ПРОФЕССИИ СТУДЕНТОВ-ПСИХОЛОГОВ.
ВИРТУАЛИЗАЦИЯ СОЦИАЛЬНОГО ПРОСТРАНСТВА И ПРОБЛЕМА ЛИЧНОСТИ.
ВЛИЯНИЕ БОЕВЫХ ИСКУССТВ НА ЛИЧНОСТЬ СПОРТСМЕНА.
ВЛИЯНИЕ ВОИНСКИХ РИТУАЛОВ НА ФОРМИРОВАНИЕ СОЦИАЛЬНО- ЗНАЧИМЫХ КАЧЕСТВ ЛИЧНОСТИ КУРСАНТОВ РОСГВАРДИИ.
ВЛИЯНИЕ ДЕТСКО-РОДИТЕЛЬСКИХ ОТНОШЕНИЙ НА СТАНОВЛЕНИЕ ЛИЧНОСТИ РЕБЕНКА.
ВЛИЯНИЕ ДУХОВНО-НРАВСТВЕННЫХ ЦЕННОСТЕЙ НА РАЗВИТИЕ ЛИЧНОСТИ.
ВЛИЯНИЕ ИРРАЦИОНАЛЬНЫХ УСТАНОВОК НА ПСИХОЛОГИЧЕСКОЕ БЛАГОПОЛУЧИЕ И САМОЭФФЕКТИВНОСТЬ БОЛЬНЫХ С РАЗЛИЧНЫМ УРОВНЕМ ДЕЗОРГАНИЗАЦИИ ЛИЧНОСТИ.
ВЛИЯНИЕ ИСКУССТВА НА РАЗВИТИЕ ЛИЧНОСТИ СОВРЕМЕННОГО МЛАДШЕГО ШКОЛЬНИКА.
ВЛИЯНИЕ КОНКУРЕНЦИИ НА РАЗВИТИЕ ЛИЧНОСТИ.
ВЛИЯНИЕ ЛИЧНОСТИ ПРЕПОДАВАТЕЛЯ НА ФОРМИРОВАНИЕ СТУДЕНЧЕСКОЙ МОТИВАЦИИ В СОВРЕМЕННОМ ТЕХНИЧЕСКОМ ВУЗЕ.
ВЛИЯНИЕ МЕЖДИСЦИПЛИНАРНЫХ МЕЖРЕДМЕТНЫХ СВЯЗЕЙ НА ФОРМИРОВАНИЕ ЛИЧНОСТИ ОБУЧАЮЩЕГОСЯ В ВЫСШЕЙ ШКОЛЕ.
ВЛИЯНИЕ МУЗЕЙНОЙ ПЕДАГОГИКИ НА РАЗВИТИЕ ЛИЧНОСТИ ШКОЛЬНИКА.
ВЛИЯНИЕ МУЗЫКАЛЬНОГО ВОСПИТАНИЯ НА ФОРМИРОВАНИЕ ЛИЧНОСТИ РЕБЕНКА В ЦЕНТРАХ СОДЕЙСТВИЯ СЕМЕЙНОМУ ВОСПИТАНИЮ.
ВЛИЯНИЕ ОСМЫСЛЕННОСТИ ЖИЗНИ НА УРОВЕНЬ АЛКОГОЛИЗАЦИИ ЛИЧНОСТИ.
ВЛИЯНИЕ ОСОБЕННОСТЕЙ ТЕМПЕРАМЕНТА НА УСПЕШНОСТЬ ЛИЧНОСТИ.
ВЛИЯНИЕ ОСОБЕННОСТЕЙ ТЕМПЕРАМЕНТА НА ФОРМИРОВАНИЕ ЭМПАТИИ КАК КАЧЕСТВА ЛИЧНОСТИ
ВЛИЯНИЕ ОТКРЫТОЙ ОБРАЗОВАТЕЛЬНОЙ СРЕДЫ НА СОЦИАЛИЗАЦИЮ ЛИЧНОСТИ
ВЛИЯНИЕ ПОЛИКУЛЬТУРНОГО ПРОСТРАНСТВА НА РАЗВИТИЕ ЛИЧНОСТИ
ВЛИЯНИЕ ПОЛИМОДАЛЬНОСТИ РЕФЛЕКСИИ НА САМООРГАНИЗАЦИЮ ЛИЧНОСТИ
ВЛИЯНИЕ ПРЕПОДАВАНИЯ ГУМАНИТАРНЫХ ДИСЦИПЛИН В ТЕХНИЧЕСКОМ ВУЗЕ НА РАЗВИТИЕ ЛИЧНОСТИ СТУДЕНТА
ВЛИЯНИЕ ПРОФЕССИОНАЛЬНО-ОРИЕНТИРОВАННОГО СОЦИАЛЬНО-ПСИХОЛОГИЧЕСКОГО ТРЕНИНГА НА ПРОФЕССИОНАЛЬНОЕ САМООПРЕДЕЛЕНИЕ И ФОРМИРОВАНИЕ КОМПОНЕНТОВ Я-КОНЦЕПЦИИ ЛИЧНОСТИ СТАРШЕКЛАССНИКОВ
ВЛИЯНИЕ ПСИХОДИНАМИЧЕСКИХ СВОЙСТВ ЛИЧНОСТИ НА АКАДЕМИЧЕСКУЮ УСПЕВАЕМОСТЬ СТУДЕНТОВ
ВЛИЯНИЕ ПСИХОЛОГИЧЕСКИХ ХАРАКТЕРИСТИК ЛИЧНОСТИ НА ПОДВЕРЖЕННОСТЬ К РЕКЛАМНОМУ ВОЗДЕЙСТВИЮ
ВЛИЯНИЕ РОДИТЕЛЬСКИХ (МАТЕРИНСКИХ) УСТАНОВОК НА ЖИЗНЕСТОЙКОСТЬ ЛИЧНОСТИ ГИПЕРАКТИВНЫХ ПОДРОСТКОВ
ВЛИЯНИЕ СЕМЕЙНОГО КЛИМАТА НА РАЗВИТИЕ ЛИЧНОСТИ СОВРЕМЕННОГО СТУДЕНТА
ВЛИЯНИЕ СЕМЕЙНЫХ КОНФЛИКТОВ НА ФОРМИРОВАНИЕ И РАЗВИТИЕ ЛИЧНОСТИ РЕБЕНКА
ВЛИЯНИЕ СЕМЬИ НА РАЗВИТИЕ ЛИЧНОСТИ РЕБЕНКА
ВЛИЯНИЕ СМИ НА ФОРМИРОВАНИЕ ЛИЧНОСТИ МЛАДШИХ ПОДРОСТКОВ КАК ПЕДАГОГИЧЕСКАЯ ПРОБЛЕМА
ВЛИЯНИЕ СОВРЕМЕННЫХ СРЕДСТВ ИНФОРМАЦИОННОГО ПРОСТРАНСТВА НА ФОРМИРОВАНИЕ ОБЩЕЙ КУЛЬТУРЫ ЛИЧНОСТИ СТУДЕНТА
ВЛИЯНИЕ СОЦИАЛЬНЫХ СЕТЕЙ НА РАЗВИТИЕ ЛИЧНОСТИ НЕСОВЕРШЕННОЛЕТНИХ
ВЛИЯНИЕ СПОРТА НА ФОРМИРОВАНИЕ ЛИЧНОСТИ
ВЛИЯНИЕ СПОРТИВНОЙ МОТИВАЦИИ НА САМООЦЕНКУ ВОЛЕВЫХ КАЧЕСТВ ЛИЧНОСТИ СПОРСТМЕНОВ-ЕДИНОБОРЦЕВ
ВЛИЯНИЕ ТВОРЧЕСКОГО ПОТЕНЦИАЛА НА РАЗВИТИЕ ЛИЧНОСТИ СТАРШЕКЛАССНИКА
ВЛИЯНИЕ ТЕМПЕРАМЕНТА ЛИЧНОСТИ НА ОТНОШЕНИЕ К ЭЛЕКТИВНЫМ КУРСАМ ПО ФИЗИЧЕСКОЙ КУЛЬТУРЕ И СПОРТУ В ВУЗЕ
ВЛИЯНИЕ ТЕХНОЛОГИИ ФИЗИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ МЛАДШИХ ШКОЛЬНИКОВ НА ПСИХОЭМОЦИОНАЛЬНОЕ СОСТОЯНИЕ
ВЛИЯНИЕ ТИПА ЛИЧНОСТИ УЧАЩИХСЯ НА ИЗУЧЕНИЕ ИНОСТРАННЫХ ЯЗЫКОВ
ВЛИЯНИЕ ТИПА ТЕМПЕРАМЕНТА ЛИЧНОСТИ СТУДЕНТА НА ВЫБОР СТРАТЕГИИ ПОВЕДЕНИЯ В КОНФЛИКТНОЙ СИТУАЦИИ
ВЛИЯНИЕ ФИЗИЧЕСКОЙ КУЛЬТУРЫ И СПОРТА НА ФОРМИРОВАНИЕ ТОЛЕРАНТНОЙ ЛИЧНОСТИ СТУДЕНТА
ВЛИЯНИЕ ФИЗИЧЕСКОЙ КУЛЬТУРЫ НА ЗДОРОВЬЕ И РАЗВИТИЕ ЛИЧНОСТИ
ВЛИЯНИЕ ФИЗИЧЕСКОЙ КУЛЬТУРЫ НА РАЗВИТИЕ И ФОРМИРОВАНИЕ ГАРМОНИЧЕСКИ РАЗВИТОЙ ЛИЧНОСТИ
ВЛИЯНИЕ ФИЗИЧЕСКОЙ КУЛЬТУРЫ НА ФОРМИРОВАНИЕ ЛИЧНОСТИ
ВЛИЯНИЕ ФИЗИЧЕСКОЙ ПОДГОТОВКИ НА ФОРМИРОВАНИЕ ЛИЧНОСТИ ВОЕННОСЛУЖАЩЕГО
ВЛИЯНИЕ ХАРАКТЕРОЛОГИЧЕСКИХ ОСОБЕННОСТЕЙ ЛИЧНОСТИ ПЕДАГОГА НА ПОВЕДЕНИЕ В КОНФЛИКТНОЙ СИТУАЦИИ
ВЛИЯНИЕ ЭМОЦИОНАЛЬНОГО ИНТЕЛЛЕКТА НА ХАРАКТЕРИСТИКИ САМОАКТУАЛИЗИРУЮЩЕЙСЯ ЛИЧНОСТИ И ЦЕННОСТНЫЕ ОРИЕНТАЦИИ МЕНЕДЖЕРОВ КОМПАНИИ
ВЛИЯНИЕ ЭМОЦИОНАЛЬНОГО СОСТОЯНИЯ И СВОЙСТВ ЛИЧНОСТИ НА ФИЗИЧЕСКУЮ ПОДГОТОВКУ МОЛОДЕЖИ
ВЛИЯНИЕ ЭМОЦИОНАЛЬНОГО СТРЕССА НА РАЗВИТИЕ ЛИЧНОСТИ ПОДРОСТКА
ВЛИЯНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ НА РЕАЛИЗАЦИЮ ПЕРЕВОДЧЕСКОЙ ДЕЯТЕЛЬНОСТИ (НА МАТЕРИАЛЕ СОВРЕМЕННЫХ СМИ)
ВЛИЯНИЕ ЯЗЫКОВОЙ СИТУАЦИИ НА ИЗМЕНЕНИЯ ОБОБЩЕННЫХ ХАРАКТЕРИСТИК ЯЗЫКОВОЙ ЛИЧНОСТИ ДВУЯЗЫЧНЫХ УЧАЩИХСЯ (РУССКО-ЭСТОНСКИЙ БИЛИНГВИЗМ) ПОЛУЧАЮЩИХ ОБРАЗОВАНИЕ НА ЭСТОНСКОМ ЯЗЫКЕ
ВЛИЯНИЕ IT-ТЕХНОЛОГИЙ НА РАЗВИТИЕ ЛИЧНОСТИ СТУДЕНТА ВЫСШЕЙ ШКОЛЫ
ВЛИЯНИЯ СТИЛЯ ПЕДАГОГИЧЕСКОГО ОБЩЕНИЯ НА РАЗВИТИЕ ЛИЧНОСТИ МЛАДШЕГО ШКОЛЬНИКА
ВНУТРИПРЕДМЕТНАЯ ИНТЕГРАЦИЯ КАК СРЕДСТВО РАЗВИТИЯ ПОЛИКУЛЬТУРНОЙ ЛИЧНОСТИ МЛАДШЕГО ШКОЛЬНИКА НА УРОКАХ МУЗЫКИ
ВОВЛЕЧЁННОСТЬ СТУДЕНТОВ ВО ВНЕУЧЕБНУЮ ДЕЯТЕЛЬНОСТЬ В ФОРМИРОВАНИИ ЛИЧНОСТИ БУДУЩЕГО ВРАЧА (НА ПРИМЕРЕ ОБУЧАЮЩИХСЯ КГМУ)
ВОЕННЫЕ ФИЛЬМЫ СОВЕТСКОЙ ЭПОХИ КАК СРЕДСТВО МОРАЛЬНО-НРАВСТВЕННОГО ВОСПИТАНИЯ ЛИЧНОСТИ
ВОЗДЕЙСТВИЕ МУЗЫКАЛЬНОЙ КУЛЬТУРЫ НА ФАКТОР ДУХОВНОЙ ЖИЗНИ ЛИЧНОСТИ
ВОЗДЕЙСТВИЕ ФИЗИЧЕСКОЙ КУЛЬТУРЫ НА ГАРМОНИЧНОЕ РАЗВИТИЕ ЛИЧНОСТИ
ВОЗМОЖНОСТИ ВНЕАУДИТОРНОЙ РАБОТЫ В СТИМУЛИРОВАНИИ САМОРАЗВИТИЯ ЛИЧНОСТИМЕТОДИКО-МАТЕМАТИЧЕСКИЙ КОМПОНЕНТ
ВОЗМОЖНОСТИ МЫСЛЕДЕЯТЕЛЬНОСТНОЙ ПЕДАГОГИКИ В ФОРМИРОВАНИИ ИННОВАЦИОННОГО ТИПА ЛИЧНОСТИ ПЕДАГОГА
ВОЗМОЖНОСТИ ПЕДАГОГИЧЕСКОГО УПРАВЛЕНИЯ МОТИВАЦИОННО-ЦЕННОСТНОЙ СФЕРОЙ ЛИЧНОСТИ ЗАНИМАЮЩИХСЯ АЙКИДО
ВОЗМОЖНОСТИ ФИЗИЧЕСКОЙ КУЛЬТУРЫ И СПОРТА В ВОСПИТАНИИ ЛИЧНОСТИ ЧЕЛОВЕКА
ВОЗМОЖНОСТЬ ПОВЫШЕНИЯ ОБЩЕЙ АДАПТИВНОСТИ ЛИЧНОСТИ СТУДЕНТОВ-ПСИХОЛОГОВКАК ПРОЯВЛЕНИЕКОНФЛИКТОУСТОЙЧИВОСТИ
ВОИНСКИЕ РИТУАЛЫ И ИХ ВОСПИТАТЕЛЬНАЯ РОЛЬ В СТАНОВЛЕНИИ ЛИЧНОСТИ КУРСАНТОВ ВОЙСК НАЦИОНАЛЬНОЙ ГВАРДИИ РОССИЙСКОЙ ФЕДЕРАЦИИ
ВОКАЛЬНО-ХОРОВОЕ ОБУЧЕНИЕ МЛАДШИХ ШКОЛЬНИКОВ КАК СПОСОБ ВОСПИТАНИЯ СОЦИАЛЬНО-АКТИВНОЙ ЛИЧНОСТИ
ВОЛОНТЕРСКАЯ ДЕЯТЕЛЬНОСТЬ КАК СРЕДСТВО РАЗВИТИЯ СОЦИАЛЬНОЙ АКТИВНОСТИ ЛИЧНОСТИ
ВОПРОСЫ ПРОФЕССИОНАЛЬНОГО ОБУЧЕНИЯ С УЧЕТОМ ПОТРЕБНОСТЕЙ ЛИЧНОСТИ ПРИ ВЫБОРЕ ДИЗАЙНЕРСКОГО ФОРМООБРАЗОВАНИЯ
ВОСПИТАНИЕ ГАРМОНИЧНО РАЗВИТОЙ И СОЦИАЛЬНО ОТВЕТСТВЕННОЙ ЛИЧНОСТИ СТУДЕНТА КОЛЛЕДЖА КАК БУДУЩЕГО КОНКУРЕНТОСПОСОБНОГО ВОСТРЕБОВАННОГО СПЕЦИАЛИСТА
ВОСПИТАНИЕ ГАРМОНИЧНО РАЗВИТОЙ ЛИЧНОСТИ ДОШКОЛЬНИКА СРЕДСТВАМИ ЭКОЛОГИИ
ВОСПИТАНИЕ ГРАЖДАНИНА-ПАТРИОТА И ФОРМИРОВАНИЕ ГРАЖДАНСКО-ПАТРИОТИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ
ВОСПИТАНИЕ ДИСЦИПЛИНИРОВАННОСТИ ЛИЧНОСТИ КУРСАНТА ВОЕННОГО ВУЗА КАК ЦЕННОСТНОГО ОТНОШЕНИЯ К ЧЕЛОВЕКУ
ВОСПИТАНИЕ И РАЗВИТИЕ ЛИЧНОСТИ В УЧЕБНОМ ЗАВЕДЕНИИ
ВОСПИТАНИЕ КОНКУРЕНТОСПОСОБНОЙ ЛИЧНОСТИ В РАМКАХ ПРОГРАММЫ РУХАНИ ЖА??ЫРУ
ВОСПИТАНИЕ ЛИЧНОСТИ В ПРОЦЕССЕ ПРОФЕССИОНАЛЬНОЙ СОЦИАЛЬНО-ПЕДАГОГИЧЕСКОЙ ПОДГОТОВКИ СТУДЕНТОВ
ВОСПИТАНИЕ ЛИЧНОСТИ В СОЦИОКУЛЬТУРНОМ ИНФОРМАЦИОННОМ ПРОСТРАНСТВЕ: ЕГО ПОТЕНЦИАЛ И НЕГАТИВНОЕ ВЛИЯНИЕ
ВОСПИТАНИЕ ЛИЧНОСТИ ГРАЖДАНИНА В ИНОЯЗЫЧНОЙ ПОДГОТОВКЕ БАКАЛАВРА В ПОЛИКУЛЬТУРНОЙ СРЕДЕ ВУЗА
ВОСПИТАНИЕ ЛИЧНОСТИ СТУДЕНТА СРЕДСТВАМИ ФИЗИЧЕСКОЙ КУЛЬТУРЫ И СПОРТА
ВОСПИТАНИЕ ЛИЧНОСТИ ШКОЛЬНИКА НА УРОКАХ РУССКОГО ЯЗЫКА И ЛИТЕРАТУРЫ
ВОСПИТАНИЕ ПРОФЕССИОНАЛЬНО-ЗНАЧИМЫХ ВОЛЕВЫХ КАЧЕСТВ У СТУДЕНТОВ КАК ОСНОВЫ ОРГАНИЗАЦИОННОЙ КУЛЬТУРЫ ЛИЧНОСТИ В ФИЗКУЛЬТУРНО-СПОРТИВНОМ СОВЕРШЕНСТВОВАНИИ
ВОСПИТАНИЕ СОЦИАЛЬНО-АКТИВНОЙ ЛИЧНОСТИ РЕБЕНКА СРЕДСТВАМИ ИНФОРМАЦИОННО- КОММУНИКАЦИОННЫХ ТЕХНОЛОГИЙ И РОБОТОТЕХНИКИ
ВОСПИТАНИЕ ТОЛЕРАНТНОСТИ КАК СОЦИАЛЬНО ЗНАЧИМОГО КАЧЕСТВА ЛИЧНОСТИ В СИСТЕМЕ МЕЖНАЦИОНАЛЬНОГО ОБЩЕНИЯ
ВОСПИТАНИЕ ЦЕЛОСТНОЙ ЛИЧНОСТИ КАК ЗАДАЧА ВЫСШЕГО ОБРАЗОВАНИЯ
ВОСПИТАТЕЛЬНАЯ РАБОТА В ВЫСШЕЙ ШКОЛЕ КАК ФАКТОР ФОРМИРОВАНИЯ И РАЗВИТИЯ ЛИЧНОСТИ БУДУЩИХ СПЕЦИАЛИСТОВ
ВОСПИТАТЕЛЬНАЯ РАБОТА КАК ФАКТОР СТАНОВЛЕНИЯ ЛИЧНОСТИ БУДУЩИХ СОТРУДНИКОВ ПОЛИЦИИ
ВОСПИТАТЕЛЬНАЯ СИСТЕМА ШКОЛЫ КАК ВАЖНЕЙШЕЕ УСЛОВИЕ СОЗДАНИЯ СРЕДЫ САМОРАЗВИТИЯ ЛИЧНОСТИ
ВОСПИТАТЕЛЬНОЕ ВОЗДЕЙСТВИЕ ПРАКТИЧЕСКОЙ СТРЕЛЬБЫ НА ВСЕСТОРОННЕЕ РАЗВИТИЕ ЛИЧНОСТИ СПОРТСМЕНА-СТРЕЛКА
ВОСПИТЫВАЮЩАЯ СРЕДА ОБРАЗОВАТЕЛЬНОЙ ОРГАНИЗАЦИИ КАК УСЛОВИЕ СТАНОВЛЕНИЯ ЛИЧНОСТИ БУДУЩЕГО СПЕЦИАЛИСТА
ВОСПРИЯТИЕ СИТУАЦИИ ПРЕОДОЛЕНИЯ ТРУДНОСТЕЙ КАК ВОЗМОЖНОСТИ ДЛЯ САМОРАЗВИТИЯ ЛИЧНОСТИ
ВОССТАНОВЛЕНИЕ НРАВСТВЕННОГО ЗДОРОВЬЯ ЛИЧНОСТИ ПОДРОСТКА КАК АКМЕОЛОГИЧЕСКАЯ ПРОБЛЕМА
ВРЕМЕННАЯ КОМПЕТЕНТНОСТЬ В СТРУКТУРЕ ЛИЧНОСТИ СТУДЕНТОВ СКЛОННЫХ К АКАДЕМИЧЕСКОЙ ПРОКРАСТИНАЦИИ
ВРЕМЕННАЯ ПЕРСПЕКТИВА ЛИЧНОСТИ В ЮНОШЕСКОМ ВОЗРАСТЕ: ВЗАИМОСВЯЗЬ С КОПИНГ-СТРАТЕГИЯМИ
ВТОРИЧНАЯ МУЗЫКАЛЬНАЯ ЛИЧНОСТЬ В ПРОСТРАНСТВЕ ЭЛИТАРНОГО ОБРАЗОВАНИЯ: ЭСТЕТИКО-СЕМИОТИЧЕСКИЙ ПОДХОД
ВТОРИЧНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ И МЕТОДИКА ЕЕ ФОРМИРОВАНИЯ В ПРОЦЕССЕ ОБУЧЕНИЯ ИНОСТРАННОМУ ЯЗЫКУ В НЕЯЗЫКОВОМ ВУЗЕ
ВУЗ КАК ФАКТОР СТАНОВЛЕНИЯ ЛИЧНОСТИ СТУДЕНТА
ГАРМОНИЗАЦИЯ ЛИЧНОСТИ КАК ЭЛЕМЕНТ ПРОФЕССИОНАЛЬНОГО РАЗВИТИЯ ПРЕПОДАВАТЕЛЯ СОВРЕМЕННОГО ВУЗА
ГАРМОНИЧЕСКАЯ ЛИЧНОСТЬ: СТРУКТУРА МЕХАНИЗМЫ РАЗВИТИЯ ИНДИВИДУАЛЬНЫЕ РАЗЛИЧИЯ
ГАРМОНИЧНОЕ ЛИЧНОСТНОЕ САМОРАЗВИТИЕ КАК ЦЕЛЬ СТАНОВЛЕНИЯ СУБЪЕКТНОСТИ ФИЗИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ
ГАРМОНИЧНОЕ РАЗВИТИЕ ЛИЧНОСТИ ЗА СЧЕТ ЗДОРОВОГО ОБРАЗА ЖИЗНИ
ГАРМОНИЧНОЕ РАЗВИТИЕ ЛИЧНОСТИ КУРСАНТОВ ЗА СЧЕТ ЗДОРОВОГО ОБРАЗА ЖИЗНИ
ГЕНДЕРНАЯ СПЕЦИФИКА НАПРАВЛЕННОСТИ ЛИЧНОСТИ В ОБЩЕНИИ
ГЕНДЕРНЫЕ ОСОБЕННОСТИ ПРОЯВЛЕНИЯ АГРЕССИВНОСТИ ЛИЧНОСТИ У ДЕВОЧЕК-ПОДРОСТКОВ
ГЕНДЕРНЫЕ ПРОЯВЛЕНИЯ ОСОБЕННОСТЕЙ ЛИЧНОСТИ ЮНЫХ ПРЫГУНОВ В ВОДУ В ЗАВИСИМОСТИ ОТ УСПЕШНОСТИ В СПОРТЕ
ГЕНДЕРНЫЕ РАЗЛИЧИЯ ТРЕВОЖНОСТИ ЛИЧНОСТИ И СОЦИАЛЬНО-ПСИХОЛОГИЧЕСКОЙ АДАПТИРОВАННОСТИ У ПОДРОСТКОВ
ГЕНЕЗИС МУЗЕЙНОЙ ПЕДАГОГИКИ ЕГО ЗНАЧЕНИЕ В ПОСТРОЕНИИ СОВРЕМЕННЫХ ОБРАЗОВАТЕЛЬНЫХ ПРОГРАММ И ОБЩЕКУЛЬТУРНОМ ФОРМИРОВАНИИ ЛИЧНОСТИ
ПСИХОЛОГИЧЕСКИЕ ОСОБЕННОСТИ ФОРМИРОВАНИЯ ПРОФЕССИОНАЛЬНОЙ ДЕФОРМАЦИИ ЛИЧНОСТИ СУБЪЕКТА ТРУДА В УСЛОВИЯХ ГЛОБАЛИЗАЦИИ
МОДЕЛИРОВАНИЕ КАК МЕТОД ИССЛЕДОВАНИЯ ЛИЧНОСТИ РУКОВОДИТЕЛЯ В ПСИХОЛОГИИ ТРУДА
МЕТОДОЛОГИЧЕСКИЕ ОСНОВЫ ПРОФЕССИОНАЛЬНОГО РАЗВИТИЯ ЛИЧНОСТИ: ОПЫТ ОРГАНИЗАЦИИ И ТЕНДЕНЦИИ РАЗВИТИЯ
ГОТОВНОСТЬ К САМОВОСПИТАНИЮ КАК РЕЗУЛЬТАТ СОВЕРШЕНСТВОВАНИЯ ЛИЧНОСТИ СОТРУДНИКА ПОЛИЦИИ
ГРАЖДАНСКО-ПАТРИОТИЧЕСКОЕ ВОСПИТАНИЕ ЛИЧНОСТИ ОБУЧАЮЩИХСЯ В КОНТЕКСТЕ ЦЕЛЕВОЙ ПРОГРАММЫ УНИВЕРСИТЕТА
ГУМАНИЗАЦИЯ ОБРАЗОВАНИЯ КАК ОСНОВНАЯ ДЕТЕРМИНАНТА РАЗВИТИЯ ЛИЧНОСТИ
ГУМАНИСТИЧЕСКИЕ ВЗГЛЯДЫ НА ВОСПИТАНИЕ ЛИЧНОСТИ И ДУХОВНО-НРАВСТВЕННОЕ УЧЕНИЕТОЛСТОГО
ГУМАНИСТИЧЕСКИЙ ПОДХОД К СУЩНОСТИ ПОНЯТИЯ СОЦИОКУЛЬТУРНОЕ РАЗВИТИЕ ЛИЧНОСТИ
ДВИЖУЩИЕ СИЛЫ САМОРАЗВИТИЯ ЛИЧНОСТИ ПОДРОСТКА В ПРОЦЕССЕ САМОВОСПИТАНИЯ
ДЕМОНСТРАТИВНЫЙ СУИЦИД У ПОДРОСТКОВ С ДЕСТРУКТИВНЫМИ ЧЕРТАМИ ЛИЧНОСТИ ПО ИСТЕРОИДНОМУ ТИПУ
ДЕПРИВАЦИЯ В СЕМЬЕ ЕЕ ВЛИЯНИЕ НА РАЗВИТИЕ ЛИЧНОСТИ ПОДРОСТКА
ДЕСТРУКТИВНЫЕ ПРОЯВЛЕНИЯ В ПРОФЕССИОНАЛЬНОЙ ДЕЯТЕЛЬНОСТИ ЛИЧНОСТИ
ДЕТСКОЕ ВОЛОНТЕРСКОЕ ДВИЖЕНИЕ КАК СРЕДСТВО ВОСПИТАНИЯ ДУХОВНО-НРАВСТВЕННЫХ КАЧЕСТВ ЛИЧНОСТИ
ДЕЯТЕЛЬНОСТНО-ВАЖНЫЕ И ДЕЯТЕЛЬНОСТНО-ЗНАЧИМЫЕ КАЧЕСТВА ЛИЧНОСТИ В ЭКОНОМИЧЕСКОЙ ДЕЯТЕЛЬНОСТИ
ДЕЯТЕЛЬНОСТЬ ШКОЛЬНОГО ИСТОРИЧЕСКОГО МУЗЕЯ В ВОСПИТАНИИ ЛИЧНОСТИ УЧАЩЕГОСЯ
ДИАГНОСТИКА НРАВСТВЕННОГО САМОРАЗВИТИЯ ЛИЧНОСТИ ОБУЧАЮЩИХСЯ ИЗ КАТЕГОРИЙ СОЦИАЛЬНОГО РИСКА
ДИАГНОСТИЧЕСКИЙ КОМПЛЕКС ИЗУЧЕНИЯ ПОТЕНЦИАЛА ПРОФЕССИОНАЛЬНОГО РАЗВИТИЯ ЛИЧНОСТИ ОБУЧАЮЩИХСЯ 8-9 КЛАССОВ
ДИАЛОГ РУССКОГО И АНГЛИЙСКОГО ЯЗЫКОВ ПРИ ИНТЕГРАЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТА ИЗ АРАБСКОГО МИРА В РОССИЙСКОЕ ОБРАЗОВАТЕЛЬНОЕ ПРОСТРАНСТВО
ДИЛЕММЫ ПРОФЕССИОНАЛЬНОЙ ИДЕНТИЧНОСТИ ЛИЧНОСТИ В СОВРЕМЕННЫХ СОЦИОКУЛЬТУРНЫХ УСЛОВИЯХ
ДИНАМИКА САМООТНОШЕНИЯ ЛИЧНОСТИ В ПРОЦЕССЕ ПРОФЕССИОНАЛЬНОЙ СОЦИАЛИЗАЦИИ КУРСАНТОВ ВОЕННЫХ ОБРАЗОВАТЕЛЬНЫХ ОРГАНИЗАЦИЙ ВЫСШЕГО ОБРАЗОВАНИЯ ВОЙСК НАЦИОНАЛЬНОЙ ГВАРДИИ
ДИНАМИЧЕСКИЙ И КОМПЕТЕНТНОСТНЫЙ АСПЕКТЫ МЕДИАОБРАЗОВАТЕЛЬНОЙ КОНЦЕПЦИИ РАЗВИТИЯ ГОТОВНОСТИ ЛИЧНОСТИ К САМООБУЧЕНИЮ В ТЕЧЕНИЕ ВСЕЙ ЖИЗНИ
ДИСЦИПЛИНА ИНОСТРАННЫЙ ЯЗЫК КАК СРЕДСТВО РАЗВИТИЯ КОНКУРЕНТОСПОСОБНОЙ ЛИЧНОСТИ БУДУЩЕГО ИНЖЕНЕРА
ДИСЦИПЛИНИРОВАННОСТЬ ЛИЧНОСТИ СПОРТСМЕНА КАК РЕЗУЛЬТАТ ЦЕННОСТНОГО ОТНОШЕНИЯ К ЧЕЛОВЕКУ
ДИФФЕРЕНЦИАЛЬНЫЕ АСПЕКТЫ ОРГАНИЗАЦИИ МЕТАКОГНИТИВНОЙ СФЕРЫ ЛИЧНОСТИ УЧАЩИХСЯ ВЫСШИХ УЧЕБНЫХ ЗАВЕДЕНИЙ
ДОВЕРИЕ В СТРУКТУРЕ ПСИХОЛОГИЧЕСКОЙ БЕЗОПАСНОСТИ ЛИЧНОСТИ
ДОСУГОВАЯ ДЕЯТЕЛЬНОСТЬ КАК СФЕРА РАЗВИТИЯ КОММУНИКАТИВНОЙ КУЛЬТУРЫ ЛИЧНОСТИ
ДУАЛЬНАЯ СИСТЕМА ПРОФЕССИОНАЛЬНОГО ОБРАЗОВАНИЯ ЛИЧНОСТИ
ДУХОВНО-НРАВСТВЕННОЕ ВОСПИТАНИЕ КАК ОСНОВА ФОРМИРОВАНИЯ ЛИЧНОСТИ В СИСТЕМЕ ДОПОЛНИТЕЛЬНОГО ОБРАЗОВАНИЯ
ДУХОВНО-НРАВСТВЕННОЕ ВОСПИТАНИЕ ЛИЧНОСТИ КАК СОЦИАЛЬНОЕ И ПЕДАГОГИЧЕСКОЕ ЯВЛЕНИЕ В ВЫСШЕЙ ШКОЛЕ
ДУХОВНО-НРАВСТВЕННОЕ ВОСПИТАНИЕ ЛИЧНОСТИ: ВЗАИМОДЕЙСТВИЕ СЕМЬИ И ШКОЛЫ
ДУХОВНО-НРАВСТВЕННОЕ РАЗВИТИЕ ЛИЧНОСТИ
ДУХОВНО-НРАВСТВЕННОЕ РАЗВИТИЕ ЛИЧНОСТИ В КОМПЕТЕНТНОСТНОМ ФОРМАТЕ
ДУХОВНО-НРАВСТВЕННОЕ РАЗВИТИЕ ЛИЧНОСТИ КАК ВОСПИТАТЕЛЬНАЯ МИССИЯ УНИВЕРСИТЕТА
ДУХОВНО-НРАВСТВЕННОЕ СТАНОВЛЕНИЕ И РАЗВИТИЕ ЛИЧНОСТИ УЧИТЕЛЯ
ДУХОВНО-НРАВСТВЕННОЕ СТАНОВЛЕНИЕ ЛИЧНОСТИ УЧИТЕЛЯ
ДУХОВНО-НРАВСТВЕННЫЕ КАЧЕСТВА ЛИЧНОСТИ ПЕДАГОГОВ РАБОТАЮЩИХ В СФЕРЕ ИНКЛЮЗИВНОГО ОБРАЗОВАНИЯ
ДУХОВНОСТЬ И НРАВСТВЕННОЕ СОСТОЯНИЕ ЛИЧНОСТИ МЕДИЦИНСКОЙ СЕСТРЫ
ДУХОВНОСТЬ И НРАВСТВЕННОСТЬ ЛИЧНОСТИ В СВЕТСКОМ И ПРАВОСЛАВНОМ КОНТЕКСТАХ
ДУХОВНОСТЬ ЧЕЛОВЕКА КАК ЦЕННОСТНАЯ ИНТЕНЦИЯ ЛИЧНОСТИ
ЖИЗНЕННАЯ ПОЗИЦИЯ ЛИЧНОСТИОТ ТЕОРИИ К ОПЕРАЦИОНАЛИЗАЦИИ
ЖИЗНЕСТОЙКОСТЬ ЛИЧНОСТИ КАК СОЦИАЛЬНЫЙ ФЕНОМЕН (ОПЫТ ФИЛОСОФСКОГО И ПСИХОЛОГО-ПЕДАГОГИЧЕСКОГО АНАЛИЗА)
ЗАИМСТВОВАНИЯ КАК ПАТТЕРНЫ РЕЧЕВОГО ПОВЕДЕНИЯ РЕАЛЬНОЙ И ВИРТУАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ
ЗАКОНОМЕРНОСТИ РАЗВИТИЯ ПРОФЕССИОНАЛЬНОЙ САМОРЕАЛИЗАЦИИ ЛИЧНОСТИ
ЗАРУБЕЖНЫЕ ТЕОРИИ РАЗВИТИЯ ЛИЧНОСТИ КАК МЕТОДОЛОГИЧЕСКИЕ ПРЕДПОСЫЛКИ МОДЕРНИЗАЦИИ СИСТЕМЫ ПОВЫШЕНИЯ ПРОФЕССИОНАЛЬНОЙ КОМПЕТЕНЦИИ ПЕДАГОГА
ЗДОРОВЫЙ ОБРАЗ ЖИЗНИ СТУДЕНЧЕСКОЙ МОЛОДЕЖИ КАК ФАКТОР ДУХОВНО-НРАВСТВЕННОГО ВОСПИТАНИЯ ЛИЧНОСТИ
ЗДОРОВЫЙ ОБРАЗ ЖИЗНИ ЧЕЛОВЕКА КАК ПОКАЗАТЕЛЬ КУЛЬТУРЫ ЕГО ЛИЧНОСТИ
ЗДОРОВЬЕ КАК ВАЖНЫЙ ФАКТОР ДУХОВНОГО И ФИЗИЧЕСКОГО РАЗВИТИЯ ЛИЧНОСТИ
ЗНАЧЕНИЕ ОЦЕНКИ ПОРТФОЛИО В РАЗВИТИИ ЛИЧНОСТИ
ЗНАЧЕНИЕ ПРОЦЕССА ВНИМАНИЯ В ФОРМИРОВАНИИ КАК ЛИЧНОСТИ ДЕТЕЙ МЛАДШЕГО ШКОЛЬНОГО ВОЗРАСТА
ЗНАЧЕНИЕ СПОРТА В СТАНОВЛЕНИИ ЛИЧНОСТИ КУРСАНТА ВОЕННОГО ВУЗА
ЗНАЧЕНИЕ ФИЗИЧЕСКОЙ КУЛЬТУРЫ В ВОСПИТАНИИ ЛИЧНОСТИ
ЗНАЧЕНИЕ ФИЗИЧЕСКОЙ КУЛЬТУРЫ В ВОСПИТАНИИ ЛИЧНОСТИ
ЗНАЧЕНИЕ ФИЗИЧЕСКОЙ КУЛЬТУРЫ В ВОСПИТАНИИ ЛИЧНОСТИ
ЗНАЧЕНИЕ ЭТИЧЕСКОЙ СОСТАВЛЯЮЩЕЙ В ФОРМИРОВАНИИ ЛИЧНОСТИ БУДУЩЕГО ВРАЧА
ЗНАЧИМОСТЬ САМООЦЕНКИ ЛИЧНОСТИ ПОДРОСТКА В РАМКАХ УЧЕБНОЙ ДЕЯТЕЛЬНОСТИ
ИГРА В ЖИЗНИ СОВРЕМЕННОГО ДОШКОЛЬНИКА И ЕЁ ВЛИЯНИЕ НА ФОРМИРОВАНИЕ ЕГО ЛИЧНОСТИ
ИДЕИ ЭТНОПЕДАГОГИКИ В ДУХОВНОМ СТАНОВЛЕНИИ ЛИЧНОСТИ
ИДЕНТИФИКАЦИЯ САМОАКТУАЛИЗАЦИЯ И САМОРЕАЛИЗАЦИЯ ЛИЧНОСТИ В ПРОФЕССИОНАЛЬНОЙ ДЕЯТЕЛЬНОСТИ С ПОЗИЦИЙ ОНТОДИДАКТИКИ.
ИДЕНТИЧНОСТЬ ЛИЧНОСТИ В СТРУКТУРЕ САМОСОЗНАНИЯ: ЭТНИЧЕСКИЙ АСПЕКТ.
ИДЕНТИЧНОСТЬ ЛИЧНОСТИ СТУДЕНТА В ГОРИЗОНТАХ СПОРТИВНОГО МИРА (ПО ИТОГАМ ОПРОСА СТУДЕНТОВ).
ИДЕЯ НЕПРЕРЫВНОГО ОБРАЗОВАНИЯ ЛИЧНОСТИ: ИСТОКИ И СОВРЕМЕННОСТЬ.
ИЕРАРХИЧЕСКАЯ МОДЕЛЬ ЭФФЕКТИВНОГО ЦЕЛЕПОЛАГАНИЯ САМОРЕАЛИЗАЦИИ ЛИЧНОСТИ.
ИЗМЕНЕНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ ПРИ ИЗУЧЕНИИ ИНОСТРАННОГО ЯЗЫКА.
ИЗМЕНЕННЫЕ ЧЕРТЫ ХАРАКТЕРА ПРЕПОДАВАТЕЛЕЙ ЙОГИ КАК ДЕФОРМАЦИЯ ЛИЧНОСТИ В ПРОФЕССИОНАЛЬНОЙ ДЕЯТЕЛЬНОСТИ.
ИЗОБРАЗИТЕЛЬНОЕ ИСКУССТВО И ДИЗАЙН КАК ОДИН ИЗ МЕТОДОВ РАЗВИТИЯ ТВОРЧЕСКОЙ ЛИЧНОСТИ.
ИЗУЧЕНИЕ ВОЗМОЖНОСТЕЙ ПРИМЕНЕНИЯ КОУЧ-ТЕХНОЛОГИЙ В ОБРАЗОВАНИИ КАК СРЕДСТВО САМОРАЗВИТИЯ ЛИЧНОСТИ МАГИСТРАНТОВ ПСИХОЛОГО-ПЕДАГОГИЧЕСКОГО НАПРАВЛЕНИЯ ПОДГОТОВКИ.
ИЗУЧЕНИЕ ГОТОВНОСТИ ВЫПУСКНИКОВ ПЕДВУЗА К ВЗАИМОДЕЙСТВИЮ С СЕТЕВОЙ ЛИЧНОСТЬЮ.
ИЗУЧЕНИЕ ГОТОВНОСТИ СТАРШЕКЛАССНИКОВ К ПРОФЕССИОНАЛЬНОМУ САМООПРЕДЕЛЕНИЮ ЛИЧНОСТИ (В РАМКАХ НИП ПОДГОТОВКА К ПРОФЕССИОНАЛЬНОМУ САМООПРЕДЕЛЕНИЮ ДЕТЕЙ-СИРОТ С ОВЗ).
ИЗУЧЕНИЕ ИНОСТРАННОГО ЯЗЫКА В ВУЗЕ КАК СРЕДСТВО ФОРМИРОВАНИЯ И РАЗВИТИЯ ДУХОВНО-НРАВСТВЕННЫХ СТОРОН ЛИЧНОСТИ СОВРЕМЕННОГО СТУДЕНТА.
ИЗУЧЕНИЕ ИСТОРИЧЕСКИХ ЛИЧНОСТЕЙ НА УРОКАХ ИСТОРИИ В СОВРЕМЕННОЙ ШКОЛЕ.
ИЗУЧЕНИЕ КУЛЬТУРЫ ЛИЧНОСТИ РЕБЕНКА СТАРШЕГО ДОШКОЛЬНОГО ВОЗРАСТА.
ИЗУЧЕНИЕ ЛИЧНОСТИ СТУДЕНТА В ПРОЦЕССЕ СОЦИАЛИЗАЦИИ И ВОСПИТАНИЯ В ЯЗЫКОВОМ ВУЗЕ.
ИЗУЧЕНИЕ НАРОДНЫХ ТРАДИЦИЙ КАК СРЕДСТВО РАЗВИТИЯ ОБРАЗА МИРА ЛИЧНОСТИ.
ИЗУЧЕНИЕ СВЯЗИ ЦЕННОСТНЫХ ОРИЕНТАЦИЙ И ПРОФЕССИОНАЛЬНОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ СТУДЕНТОВ-ПСИХОЛОГОВ.
ИНДИВИДУАЛИЗАЦИЯ СОВРЕМЕННОГО ОБРАЗОВАНИЯ КАК СРЕДСТВО ПОЛНОЦЕННОГО РАЗВИТИЯ ЛИЧНОСТИ И СТАБИЛИЗАЦИИ ЭКОНОМИКИ ГОСУДАРСТВА.
ИНДИВИДУАЛИСТИЧЕСКИЕ И КОЛЛЕКТИВИСТИЧЕСКИЕ ВЫБОРЫ ЛИЧНОСТИ КАК ЯВЛЕНИЕ СОЦИОКУЛЬТУРНОЙ ИДЕНТИФИКАЦИИ.
ИНДИВИДУАЛЬНО-ВОСПИТАТЕЛЬНАЯ РАБОТА С КУРСАНТАМИ ОБРАЗОВАТЕЛЬНЫХ ОРГАНИЗАЦИЙ ФСИН РОССИИ КАК ПСИХОЛОГО-ПЕДАГОГИЧЕСКОЕ УСЛОВИЕ ФОРМИРОВАНИЯ ЛИЧНОСТИ БУДУЩЕГО СОТРУДНИКА УГОЛОВНО-ИСПОЛНИТЕЛЬНОЙ СИСТЕМЫ.
ИНДИВИДУАЛЬНО-ПСИХОЛОГИЧЕСКИЕ ОСОБЕННОСТИ ЛИЧНОСТИ КАК ДЕТЕРМИНАНТЫ ЗАВИСТИ
ИНДИВИДУАЛЬНО-ПСИХОЛОГИЧЕСКИЕ ОСОБЕННОСТИ ЛИЧНОСТИ КАК ДЕТЕРМИНАНТЫ ФОРМИРОВАНИЯ ПРОКРАСТИНАЦИИ.
ИНДИВИДУАЛЬНО-ПСИХОЛОГИЧЕСКИЕ ОСОБЕННОСТИ ЛИЧНОСТИ ВЛИЯЮЩИЕ НА ЭФФЕКТИВНОСТЬ И БЕЗОПАСНОСТЬ ДЕЯТЕЛЬНОСТИ НА ТРАНСПОРТЕ.
ИНДИВИДУАЛЬНО-ПСИХОЛОГИЧЕСКИЕ ОСОБЕННОСТИ ПЕРЕЖИВАНИЯ ЛИЧНОСТЬЮ СИТУАЦИИ ВОЕННОГО КОНФЛИКТА.
ИНДИВИДУАЛЬНОСТЬ И АРХЕТИП ЛИЧНОСТИ САМОСТЬ В ПОДРОСТКОВОМ И ЮНОШЕСКОМ ВОЗРАСТЕ.
ИННОВАЦИОННЫЕ МЕТОДЫ ОБУЧЕНИЯ КАК ФАКТОР РАЗВИТИЯ ЛИЧНОСТИ В ПРОЦЕССЕ ПРЕПОДАВАНИЯ ЭКОНОМИКИ В КОЛЛЕДЖЕ
ИНОСТРАННЫЙ ЯЗЫК КАК СРЕДСТВО ФОРМИРОВАНИЯ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ.
ИНОЯЗЫЧНОЕ ОБЩЕНИЕ КАК САМООПРЕДЕЛЯЮЩИЙ ФАКТОР ПРОФЕССИОНАЛЬНОГО СТАНОВЛЕНИЯ ЛИЧНОСТИ МОЛОДОГО ЧЕЛОВЕКА.
ИНТЕГРАЦИЯ СОДЕРЖАНИЯ НАУЧНОГО НАПРАВЛЕНИЯ-БИОЭТИКИ С ПРОЦЕССОМ ОБРАЗОВАНИЯ И ВОСПИТАНИЯ ЛИЧНОСТИ.
ИНТЕГРИРОВАННЫЙ УРОК КАК СПОСОБ РАЗВИТИЯ ДУХОВНОЙ КУЛЬТУРЫ ЛИЧНОСТИ.
ИНТЕРНАЛЬНОСТЬ КАК ФАКТОР ОРГАНИЗАЦИИ МЕТАКОГНИТИВНОЙ СФЕРЫ ЛИЧНОСТИ В УПРАВЛЕНЧЕСКОЙ ДЕЯТЕЛЬНОСТИ.
ИНТЕРНЕТ-КОММУНИКАЦИИ: ПУТЬ КУЛЬТУРНОГО РАЗВИТИЯ ЛИЧНОСТИ ИЛИ СВОБОДА ВЫБОРА В ИНФОРМАЦИОННУЮ ЭПОХУ.
ИНТЕРНЕТ-СТРАНИЦА ПОЛЬЗОВАТЕЛЯ И ИЗУЧЕНИЕ ЕГО ЛИЧНОСТИ.
ИНТЕРПРЕТАЦИИ ЗНАЧИМОСТИ ЭСТЕТИЧЕСКОГО КРИТЕРИЯ В ХУДОЖЕСТВЕННОМ РАЗВИТИИ ЛИЧНОСТИ
ИНФОРМАЦИОННАЯ БЕЗОПАСНОСТЬ ЛИЧНОСТИ КАК ПЕДАГОГИЧЕСКАЯ ПРОБЛЕМА.
ИНФОРМАЦИОННАЯ БЕЗОПАСНОСТЬ ЛИЧНОСТИ СУБЪЕКТОВ ОБРАЗОВАТЕЛЬНОГО ПРОЦЕССА.
ИНФОРМАЦИОННАЯ БЕЗОПАСНОСТЬ ЛИЧНОСТЬ В СЕТИ INTERNET.
ИНФОРМАЦИОННАЯ КОМПЕТЕНЦИЯ ЛИЧНОСТИ В ПОЛЕ ЕЕ САМОРАЗВИТИЯ.
ИНФОРМАЦИОННАЯ КОМПЕТЕНЦИЯ ЛИЧНОСТИ СТУДЕНТА КАК СОЦИОКУЛЬТУРНЫЙ ФЕНОМЕН ЦИФРОВОГО ОБЩЕСТВА.
ИНФОРМАЦИОННАЯ КУЛЬТУРА В СТРУКТУРЕ ДЕЯТЕЛЬНОСТИ И ЛИЧНОСТИ ПЕДАГОГА.
ИНФОРМАЦИОННАЯ КУЛЬТУРА ЛИЧНОСТИ.
ИНФОРМАЦИОННАЯ КУЛЬТУРА ЛИЧНОСТИ: АНАЛИЗ СУЩЕСТВУЮЩИХ НАУЧНЫХ ПОДХОДОВ К ТОЛКОВАНИЮ ПОНЯТИЯ.
ИНФОРМАЦИОННАЯ ЦИФРОВАЯ И SMART-КОМПЕТЕНЦИИ ЛИЧНОСТИ: ТРАНСФОРМАЦИЯ ВЗГЛЯДОВ.
ИНФОРМАЦИОННО-КОММУНИКАТИВНАЯ КОМПЕТЕНТНОСТЬ КАК НЕОБХОДИМАЯ СОСТАВЛЯЮЩАЯ ЛИЧНОСТИ БУДУЩЕГО ПЕДАГОГА В УСЛОВИЯХ ИНФОРМАЦИОННОГО ОБЩЕСТВА.
ИНФОРМАЦИОННО-ПСИХОЛОГИЧЕСКАЯ БЕЗОПАСНОСТЬ-ОСНОВА ФОРМИРОВАНИЯ ИНФОРМАЦИОННОЙ КУЛЬТУРЫ ЛИЧНОСТИ.
ИСКУССТВО ЗДРАВОТВОРЧЕСТВА ЛИЧНОСТИ: СОВРЕМЕННЫЕ ПСИХО- ЛОГИЧЕСКИЕ И ПЕДАГОГИЧЕСКИЕ АСПЕКТЫ.
ИСПОЛЬЗОВАНИЕ АКТИВНЫХ И ИНТЕРАКТИВНЫХ МЕТОДОВ НА УРОКАХ ОБЩЕСТВОЗНАНИЯ КАК СРЕДСТВО ФОРМИРОВАНИЯ ЛИЧНОСТИ УЧЕНИКА
ИСПОЛЬЗОВАНИЕ АКТИВНЫХ МЕТОДОВ ОБУЧЕНИЯ В ПРОЦЕССЕ ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ БУДУЩИХ СОТРУДНИКОВ ПРАВООХРАНИТЕЛЬНЫХ ОРГАНОВ.
ИСПОЛЬЗОВАНИЕ КЛАССИФИКАТОРОВ ДЛЯ ЦЕЛЕЙ СУДЕБНО-МЕДИЦИНСКОЙ ИДЕНТИФИКАЦИИ ЛИЧНОСТИ (ДИАГНОСТИКИ ВОЗРАСТА).
ИСПОЛЬЗОВАНИЕ КЛАСТЕРНОГО ПОДХОДА В САМОРАЗВИТИИ ТВОРЧЕСКОЙ ЛИЧНОСТИ РЕБЕНКА.
ИСПОЛЬЗОВАНИЕ ПРОЕКТНОЙ ДЕЯТЕЛЬНОСТИ В ПРОЦЕССЕ ФОРМИРОВАНИЯ ПОЛИКУЛЬТУРНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ ШКОЛЬНИКОВ.
ИСПОЛЬЗОВАНИЕ ТИПОЛОГИИ ЛИЧНОСТИ ПРИ ФОРМИРОВАНИИ КОМАНДЫ ПРОЕКТНОЙ ДЕЯТЕЛЬНОСТИ.
ИССЛЕДОВАНИЕ ДУХОВНО-НРАВСТВЕННЫХ КАЧЕСТВ ЛИЧНОСТИ МЛАДШЕГО ШКОЛЬНИКА.
ИССЛЕДОВАНИЕ ИННОВАЦИОННОЙ АКТИВНОСТИ ЛИЧНОСТИ С ПОМОЩЬЮ МЕТОДА СУБЪЕКТИВНОЙ СЕМАНТИКИ.
ИССЛЕДОВАНИЕ МОРАЛЬНО-НРАВСТВЕННОЙ НАДЕЖНОСТИ ЛИЧНОСТИ СПЕЦИАЛИСТА В ПСИХОЛОГИИ.
ИССЛЕДОВАНИЕ ОСОБЕННОСТЕЙ СТРУКТУРЫ СМЫСЛОЖИЗНЕННЫХ ОРИЕНТАЦИЙ И НАПРАВЛЕННОСТИ ЛИЧНОСТИ СОВРЕМЕННЫХ СТУДЕНТОВ.
ИССЛЕДОВАНИЕ ПРОБЛЕМЫ ПСИХОЛОГИЧЕСКОЙ ЗАЩИТЫ ЛИЧНОСТИОТЕЧЕСТВЕННЫЙ И ЗАРУБЕЖНЫЙ ОПЫТ.
ИССЛЕДОВАНИЕ ПРОФЕССИОНАЛЬНОГО ТИПА ЛИЧНОСТИ БУДУЩИХ УЧИТЕЛЕЙ БИОЛОГИИ
ИССЛЕДОВАНИЕ ПРОФЕССИОНАЛЬНОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ СТАРШЕКЛАССНИКОВ ОБЩЕОБРАЗОВАТЕЛЬНЫХ УЧРЕЖДЕНИЙ.
ИССЛЕДОВАНИЕ ПРОФЕССИОНАЛЬНОЙ ОРИЕНТАЦИИ МОЛОДЕЖИ И ВОЗМОЖНОСТИ ГАРМОНИЗАЦИИ ЖИЗНЕННОГО ЦИКЛА ЛИЧНОСТИ.
ИССЛЕДОВАНИЕ ПРОЦЕССА ФОРМИРОВАНИЯ ЛИЧНОСТИ СТУДЕНТА.
ИССЛЕДОВАНИЕ СТРУКТУРНОЙ ОРГАНИЗАЦИИ КРЕАТИВНОСТИ ЛИЧНОСТИ В УЧЕБНОЙ ДЕЯТЕЛЬНОСТИ
ИССЛЕДОВАНИЕ ЭМОЦИОНАЛЬНОГО ИНТЕЛЛЕКТАИ ПРОФЕССИОНАЛЬНОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ СТУДЕНТОВ ОБУЧАЮЩИХСЯ ПО СПЕЦИАЛЬНОСТИ ПСИХОЛОГИЯ СЛУЖЕБНОЙ ДЕЯТЕЛЬНОСТИ
ИССЛЕДОВАНИЕ ЭМПАТИИ КАК ПСИХОЛОГИЧЕСКОГО КАЧЕСТВА ЛИЧНОСТИ У СТУДЕНТОВ ТЕХНОСФЕРНОЙ БЕЗОПАСНОСТИ В ПРОЦЕССЕ ПРОФЕССИОНАЛЬНОГО ОБРАЗОВАНИЯ
ИСТОРИЧЕСКИЕ ЛИЧНОСТИ ХХ-НАЧАЛА ХХI ВЕКА НА СТРАНИЦАХ ШКОЛЬНЫХ УЧЕБНИКОВ ВСЕОБЩЕЙ ИСТОРИИ РОССИИ И БЕЛАРУСИ: К ПОСТАНОВКЕ ПРОБЛЕМЫ
ИСТОЧНИКИ УГРОЗ ИНФОРМАЦИОННО-ПСИХОЛОГИЧЕСКОЙ БЕЗОПАСНОСТИ ЛИЧНОСТИ
ЙЁНС ЯКОБ БЕРЦЕЛИУС: ШВЕДСКИЙ ЛОМОНОСОВ (ЖИЗНЕННЫЙ ПУТЬ УЧЕНОГО В КОНТЕКСТЕ ПЕДАГОГИКИ ЛИЧНОСТИ)
К ВОПРОСУ ВЗАИМОСВЯЗИ ЭМОЦИОНАЛЬНОГО ИНТЕЛЛЕКТА И ЦЕННОСТНЫХ ОРИЕНТАЦИЙ ЛИЧНОСТИ
К ВОПРОСУ МОТИВАЦИОННОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ В СТУДЕНЧЕСКОМ СПОРТЕ
К ВОПРОСУ О БЕЗОПАСНОСТИ И ПСИХОЛОГИЧЕСКОМ КОМФОРТЕ ЛИЧНОСТИ В ОБРАЗОВАТЕЛЬНОМ ПРОЦЕССЕ
К ВОПРОСУ О ГРАЖДАНСКИХ КАЧЕСТВАХ ЛИЧНОСТИ ПОДРОСТКА
К ВОПРОСУ О ЛИЧНОСТИ ВОЕННОГО КОМАНДИРА
К ВОПРОСУ О МЕСТЕ МОТИВАЦИОННО-СМЫСЛОВЫХ ОБРАЗОВАНИЙ В СТРУКТУРЕ НАПРАВЛЕННОСТИ ЛИЧНОСТИ ИНЖЕНЕРОВ-ПЕРВОКУРСНИКОВ
К ВОПРОСУ О МЕТОДАХ РАЗВИТИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТА В ПРОЦЕССЕ ОБУЧЕНИЯ ИНОСТРАННОМУ ЯЗЫКУ
К ВОПРОСУ О ПРЕДНАЗНАЧЕНИИ ФИЗИЧЕСКОЙ КУЛЬТУРЫ КАК РЕАЛИЗАЦИОННОЙ КОНСТРУКЦИИ МОДЕЛИРОВАНИЯ ЛИЧНОСТ ФУНКЦИИ ФИЗИЧЕСКОЙ КУЛЬТУРЫ КАК ИСПОЛНИТЕЛЬНЫЕ МЕХАНИЗМЫ ФОРМИРОВАНИЯ ЛИЧНОСТИ
К ВОПРОСУ О ПРОБЛЕМЕ ТВОРЧЕСКОЙ САМОРЕАЛИЗАЦИИ ЛИЧНОСТИ В ЮНОШЕСКОМ ВОЗРАСТЕ В СОВРЕМЕННОМ МИРЕ
К ВОПРОСУ О ПРОФЕССИОНАЛЬНОЙ ДЕФОРМАЦИИ ЛИЧНОСТИ СОТРУДНИКОВ ПОЛИЦИИ
К ВОПРОСУ О САМООПРЕДЕЛЕНИИ ЛИЧНОСТИ КАК ЦЕЛИ И СОДЕРЖАНИИ ОБРАЗОВАТЕЛЬНОГО ПРОЦЕССА (ИЗ ОПЫТА НАУЧНОГО ИССЛЕДОВАНИЯ)
К ВОПРОСУ О СОЦИАЛЬНЫХ УСЛОВИЯХ РАЗВИТИЯ ТОЛЕРАНТНОСТИ ЛИЧНОСТИ В СИСТЕМЕ ОБРАЗОВАНИЯ
К ВОПРОСУ О СОЦИАЛЬНЫХ УСЛОВИЯХ РАЗВИТИЯ ТОЛЕРАНТНОСТИ ЛИЧНОСТИ В СИСТЕМЕ ОБРАЗОВАНИЯ
К ВОПРОСУ О СТРУКТУРНЫХ КОМПОНЕНТАХ ИНТЕЛЛЕКТУАЛЬНОЙ АКТИВНОСТИ ЛИЧНОСТИ В ПЕРИОД ЮНОСТИ
К ВОПРОСУ О ТЕОРЕТИЧЕСКОМ ОСМЫСЛЕНИИ ПОНЯТИЯ АКТИВНОСТЬ ЛИЧНОСТИ БУДУЩЕГО ПЕДАГОГА
К ВОПРОСУ О ТРАНСФОРМАЦИИ ПЕДАГОГИЧЕСКИХ ТЕХНОЛОГИЙ В ПРОЦЕССЕ ОБУЧЕНИЯ ЛИЧНОСТИ В УСЛОВИЯХ ЦИФРОВОГО ОБРАЗОВАТЕЛЬНОГО ПРОСТРАНСТВА
К ВОПРОСУ О ФОРМИРОВАНИИ КОНКУРЕНТОСПОСОБНОЙ ЛИЧНОСТИ
К ВОПРОСУ О ФОРМИРОВАНИИ ЛИЧНОСТИ НА ПРИМЕРАХ ИЗ ЖИЗНИ ВИДНЫХ ДЕЯТЕЛЕЙ
К ВОПРОСУ О ФОРМИРОВАНИИ ПОЛИКУЛЬТУРНОЙ ЛИЧНОСТИ СТУДЕНТОВ ЯЗЫКОВЫХ СПЕЦИАЛЬНОСТЕЙ ВУЗОВ
К ВОПРОСУ О ФОРМИРОВАНИИ ПОЛИКУЛЬТУРНОЙ ЛИЧНОСТИ У СТУДЕНТОВ-ЛИНГВИСТОВ В СИСТЕМЕ ВЫСШЕГО ОБРАЗОВАНИЯ НА СЕВЕРНОМ КАВКАЗЕ
К ВОПРОСУ О ХАРАКТЕРЕ ВЗАИМОСВЯЗЕЙ ЭМОЦИОНАЛЬНОГО ИНТЕЛЛЕКТА И КОММУНИКАТИВНОЙ КОМПЕТЕНТНОСТИ ЛИЧНОСТИ
К ВОПРОСУ ОБ АВТОРИТЕТЕ ЛИЧНОСТИ
К ВОПРОСУ ОБ ЭКЗИСТЕНЦИАЛЬНО ЗНАЧИМЫХ КАЧЕСТВАХ ЛИЧНОСТИ КУРСАНТОВ ОБРАЗОВАТЕЛЬНЫХ ОРГАНИЗАЦИЙ МВД РОССИИ
К ВОПРОСУ ПРОЕКТИРОВАНИЯ ПРОЦЕССА ФОРМИРОВАНИЯ ИННОВАЦИОННОЙ ЛИЧНОСТИ В СИСТЕМЕ ВЫСШЕГО ОБРАЗОВАНИЯ
К ВОПРОСУ СТРУКТУРЫ МЕХАНИЗМА ФОРМИРОВАНИЯ ФИЗИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ СТУДЕНТОВ С ПОЗИЦИИ МАРКЕТИНГА
К ВОПРОСУ ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ УЧЕНОГО-ИССЛЕДОВАТЕЛЯ В УСЛОВИЯХ ТРЕХЪЯЗЫЧНОГО ОБРАЗОВАНИЯ В РЕСПУБЛИКЕ КАЗАХСТАН
К ИДЕНТИФИКАЦИОННОЙ ТЕОРИИ ЛИЧНОСТИ В СИСТЕМЕ НЕПРЕРЫВНОГО ПЕДАГОГИЧЕСКОГО ОБРАЗОВАНИЯ (АНАЛИЗ ЗАРУБЕЖНОГО ОПЫТА)
К ПРОБЛЕМЕ ВЗАИМОСВЯЗИ ВОСПИТАНИЯ ЛИЧНОСТИ И РАЗВИТИЯ КОЛЛЕКТИВА
К ПРОБЛЕМЕ ДУХОВНО-НРАВСТВЕННОГО РАЗВИТИЯ ЛИЧНОСТИ В УСЛОВИЯХ ПОЛИКУЛЬТУРНОГО ОБРАЗОВАНИЯ
К ПРОБЛЕМЕ ДУХОВНЫХ СПОСОБНОСТЕЙ ЛИЧНОСТИ
К ПРОБЛЕМЕ РАЗВИТИЯ ТВОРЧЕСКОГО ПОТЕНЦИАЛА ЛИЧНОСТИ ПОСРЕДСТВОМ САНОГЕННОЙ РЕФЛЕКСИИ
К ПРОБЛЕМЕ РАЗВИТИЯ ЧЕЛОВЕЧЕСКОГО КАПИТАЛА ЧЕРЕЗ ФОРМИРОВАНИЕ ЭКОЛОГО-ЭКОНОМИЧЕСКОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ
К ПРОБЛЕМЕ ФОРМИРОВАНИЯ ЛИЧНОСТИ МЛАДШЕГО ПОДРОСТКА В УЧЕБНОЙ ДЕЯТЕЛЬНОСТИ
КАК НЕ ПОТЕРЯТЬ ГРАЖДАНСКО-ПАТРИОТИЧЕСКУЮ КОМПЕТЕНТНОСТЬ ОБУЧАЮЩИХСЯ В ПОГОНЕ ЗА ТОЛЕРАНТНЫМИ КАЧЕСТВАМИ ЛИЧНОСТИ? (ПО МАТЕРИАЛАМ ВТОРОЙ ВСЕРОССИЙСКОЙ ОЛИМПИАДЫ ПО ИСТОРИИ ХОЛОКОСТА)
КАТЕГОРИЯ СУБЪЕКТНОСТЬ ЛИЧНОСТИ В ТРУДАХ ПРЕДСТАВИТЕЛЕЙ СУБЪЕКТНО-ДЕЯТЕЛЬНОСТНОГО ПОДХОДА
КАТЕГОРИЯ ПСИХОЛОГИЧЕСКОЙ БЕЗОПАСНОСТИ В ИССЛЕДОВАНИЯХ УСТОЙЧИВОСТИ ЛИЧНОСТИ
КАЧЕСТВЕННОЕ МАТЕМАТИЧЕСКОЕ ОБРАЗОВАНИЕ КАК НЕОБХОДИМОЕ УСЛОВИЕ ФОРМИРОВАНИЯ ЛИЧНОСТИ
КАЧЕСТВО ТЕОРЕТИЗАЦИИ И ФОРМИРОВАНИЯ КУЛЬТУРЫ САМОСТОЯТЕЛЬНОЙ РАБОТЫ ЛИЧНОСТИ В СИСТЕМЕ НЕПРЕРЫВНОГО ОБРАЗОВАНИЯ
КВОПРОСУ ОПРЕДЕЛЕНИЯ СОДЕРЖАТЕЛЬНОГО КОМПОНЕНТА СОЗНАНИЯ В ПРОЦЕССЕ ФОРМИРОВАНИЯ ЭТНИЧЕСКОЙ ТОЛЕРАНТНОСТИ ЛИЧНОСТИ
КИБЕРБУЛЛИНГ КАК УГРОЗА ПСИХОЛОГИЧЕСКОМУ ЗДОРОВЬЮ ЛИЧНОСТИ ПОДРОСТКОВ И ЮНОШЕЙ
КИТАЙСКАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ: ХАРАКТЕРИСТИКА РЕЧЕВОГО ПОРТРЕТА И ЕГО СОПОСТАВИТЕЛЬНЫЙ АНАЛИЗ
КЛАССИФИКАЦИЯ ПОДХОДОВ К ИЗУЧЕНИЮ САМООПРЕДЕЛЕНИЯ ЛИЧНОСТИ В КОНТЕКСТЕ ГУМАНИТАРНЫХ НАУК
КЛИНИКО-ПСИХОЛОГИЧЕСКИЕ АСПЕКТЫ ФОРМИРОВАНИЯ АНОМАЛИЙ ЛИЧНОСТИ У ДЕТЕЙ И ПОДРОСТКОВ С ПСИХИЧЕСКОЙ ПАТОЛОГИЕЙ
КОГНИТИВНО-ТЕЛЕСНАЯ ПСИХОТЕРАПИЯ КАК НЕОБХОДИМОЕ УСЛОВИЕ УСТОЙЧИВОСТИ ЛИЧНОСТИ
КОЛЛЕКТИВНАЯ ОРГАНИЗАТОРСКАЯ ДЕЯТЕЛЬНОСТЬ КАК СРЕДСТВО РАЗВИТИЯ ЛИЧНОСТИ УЧЕНИКА
КОММУНИКАТИВНАЯ И ЛИНГВИСТИЧЕСКАЯ КРЕАТИВНОСТЬ ЛИЧНОСТИ СТУДЕНТА КАК ПОКАЗАТЕЛИ ЭФФЕКТИВНОСТИ УСВОЕНИЯ ИНОСТРАННОГО ЯЗЫКА В УСЛОВИЯХ АКТИВИЗАЦИИ МОТИВА ПРОФЕССИОНАЛЬНОЙ НАПРАВЛЕННОСТИ
КОММУНИКАТИВНАЯ КОМПЕТЕНТНОСТЬ КАК СРЕДСТВО РАЗВИТИЯ ОБРАЗОВАТЕЛЬНОЙ ПАРАДИГМЫ ЯСАМОСТЬ ЛИЧНОСТИ СПЕЦИАЛИСТА В НЕЯЗЫКОВЫХ ВУЗАХ
КОММУНИКАТИВНАЯ КОМПЕТЕНТНОСТЬ ЛИЧНОСТИПСИХОЛОГО-ПЕДАГОГИЧЕСКИЙ АСПЕКТ
КОММУНИКАТИВНАЯ КОМПЕТЕНТНОСТЬ ЛИЧНОСТИПСИХОЛОГО-ПЕДАГОГИЧЕСКИЙ АСПЕКТ
КОММУНИКАТИВНАЯ КУЛЬТУРА ЛИЧНОСТИ В ДИСКУРСИВНОМ ПРОСТРАНСТВЕ БИБЛИОТЕКИ
КОММУНИКАТИВНЫЕ УСТАНОВКИ БУДУЩИХ ЮРИСТОВ СОЦИАЛЬНОЙ СФЕРЫ КАК ФАКТОР РАЗВИТИЯ ПРОФЕССИОНАЛЬНО-ИНФОРМАЦИОННОЙ КУЛЬТУРЫ ИХ ЛИЧНОСТИ
КОМПЕТЕНТНОСТНАЯ МОДЕЛЬ ФОРМИРОВАНИЯ ПРОФЕССИОНАЛЬНОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ ПЕДАГОГАПРАКТИКА РЕАЛИЗАЦИИ
КОМПЕТЕНТНОСТНОЕ СОДЕРЖАНИЕ СОЦИАЛИЗАЦИИ ЛИЧНОСТИ В УСЛОВИЯХ ГЛОБАЛИЗАЦИИ И ИНФОРМАТИЗАЦИИ ОБЩЕСТВА
КОМПЕТЕНТНОСТНЫЙ ПОДХОД К РАЗВИТИЮ ЛИЧНОСТИ СТУДЕНТА В ОБРАЗОВАТЕЛЬНОМ ПРОЦЕССЕ ВУЗА
КОМПЛЕКСНЫЕ СВОЙСТВА ЛИЧНОСТИ ИХ КРИТЕРИИ И ПОДХОДЫ К РЕГУЛЯЦИИ ПСИХИЧЕСКОГО ЗДОРОВЬЯ
КОМПЛЕКСНЫЙ ЛИНГВОРИТОРИЧЕСКИЙ ПОДХОД В ИЗУЧЕНИИ ЯЗЫКОВОЙ ЛИЧНОСТИ ДОШКОЛЬНИКА
КОМПОНЕНТЫ ПРОФЕССИОНАЛЬНО ОБУСЛОВЛЕННОЙ СТРУКТУРЫ ЛИЧНОСТИ ПЕДАГОГА
КОМПЬЮТЕРНЫЕ ТЕХНОЛОГИИ КАК СРЕДСТВА САМОРАЗВИТИЯ ЛИЧНОСТИ УЧАЩИХСЯ
КОНСТРУКТОР ARDUINO КАК ФАКТОР РАЗВИТИЯ ЛИЧНОСТИ
КОНТЕКСТНОЕ ОБРАЗОВАНИЕ КАК УСЛОВИЕ РАЗВИТИЯ ТРАНСПРОФЕССИОНАЛЬНЫХ ХАРАКТЕРИСТИК ЛИЧНОСТИ
КОНТРОЛЬ КАК ИНСТРУМЕНТ РАЗВИТИЯ ЛИЧНОСТИ СТУДЕНТА НЕЛИНГВИСТИЧЕСКОГО ПРОФИЛЯ НА ОСНОВЕ МОДУЛЬНОГО ОБУЧЕНИЯ
КОНЦЕПТ ВОЙНА В ПОЭТИЧЕСКИХ ТЕКСТАХОКУДЖАВЫ КАК СРЕДСТВО ДУХОВНО-НРАВСТВЕННОГО ВОСПИТАНИЯ ЛИЧНОСТИ
КОНЦЕПТ ТВОРЧЕСКИЙ ПОТЕНЦИАЛ ЛИЧНОСТИ В ОТЕЧЕСТВЕННОЙ ПСИХОЛОГО-ПЕДАГОГИЧЕСКОЙ НАУКЕ
КОНЦЕПТ ДИСКУРСИВНОЙ ЛИЧНОСТИ СПОРТИВНОГО КОММЕНТАТОРА США И РОССИИ
КОНЦЕПТУАЛЬНАЯ МОДЕЛЬ ВОСПИТАНИЯ ЛИЧНОСТИ СТУДЕНТА ОСНОВАННОГО НА НРАВСТВЕННО-БИОЭТИЧЕСКИХ ЦЕННОСТЯХ
КОНЦЕПТУАЛЬНЫЕ ОСОБЕННОСТИ И ПОДХОДЫ К ИССЛЕДОВАНИЮ ПРОБЛЕМЫ САМОРЕАЛИЗАЦИИ ЛИЧНОСТИ В ОБРАЗОВАТЕЛЬНОМ ПРОСТРАНСТВЕ ВЫСШЕЙ ШКОЛЫ
КОНЦЕПЦИЯ ИНТЕГРАТИВНОГО ПОДХОДА К ПЕДАГОГИЧЕСКОМУ ИСПОЛЬЗОВАНИЮ ПРАВОСЛАВНОГО НАСЛЕДИЯ В ДУХОВНОМ РАЗВИТИИ ЛИЧНОСТИ БУДУЩЕГО УЧИТЕЛЯ
КОНЦЕПЦИЯ СОЗДАНИЯ КРОСС-КУЛЬТУРНОЙ ОБРАЗОВАТЕЛЬНОЙ СРЕДЫ ШКОЛЫ ОБЕСПЕЧИВАЮЩЕЙ ФОРМИРОВАНИЕ ГАРМОНИЧНО РАЗВИТОЙ ЛИЧНОСТИ ОБУЧАЮЩЕГОСЯ
КОРРУПЦИОННАЯ ЛИЧНОСТЬ В ВОСПРИЯТИИ ПРОФЕССИОНАЛЬНЫХ И ВОЗРАСТНЫХ СОЦИАЛЬНЫХ ГРУПП
КРИТЕРИИ ПОКАЗАТЕЛИ И КАЧЕСТВА ТОЛЕРАНТНОЙ ЛИЧНОСТИ
КУЛЬТУРА БЕЗОПАСНОСТИ ЖИЗНЕДЕЯТЕЛЬНОСТИ КАК УСЛОВИЕ БЕЗОПАСНОСТИ ЛИЧНОСТИ И ОБЩЕСТВА
КУЛЬТУРА ДЕЯТЕЛЬНОСТИ ЛИЧНОСТИ В КОНТЕКСТЕ ОБЩЕПЕДАГОГИЧЕСКИХ И ПРОФЕССИОНАЛЬНО-ПЕДАГОГИЧЕСКИХ ВОЗМОЖНОСТЕЙ НЕПРЕРЫВНОГО ОБРАЗОВАНИЯ
КУЛЬТУРА КАК БАЗА ФОРМИРОВАНИЯ ФИЗИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ БУДУЩЕГО УЧИТЕЛЯ
КУЛЬТУРА САМОСТОЯТЕЛЬНОЙ РАБОТЫ ЛИЧНОСТИ В КОНСТРУКТОРАХ ТЕОРЕТИЗАЦИИ И РЕФЛЕКСИИ
КУЛЬТУРА ОБРАЗОВАНИЕ И ПРОБЛЕМЫ ФОРМИРОВАНИЯ ЛИЧНОСТИ В ГЛОБАЛИЗАЦИОННО-АТОМИЗИРОВАННОМ МИРОВОМ ОБЩЕСТВЕ
КУЛЬТУРНО-СПОРТИВНОЕ ИСКУССТВО БОРЬБЫ КОХ КАК СРЕДСТВО ФОРМИРОВАНИЯ ВСЕСТОРОННЕ И ГАРМОНИЧНО РАЗВИТОЙ ЛИЧНОСТИ
КУЛЬТУРНОЕ НАСЛЕДИЕ КАК ФАКТОР ДУХОВНОГО РАЗВИТИЯ ЛИЧНОСТИ В СИСТЕМЕ ХУДОЖЕСТВЕННОГО ОБРАЗОВАНИЯ
ЛИНГВОРИТОРИЧЕСКИЕ ХАРАКТЕРИСТИКИ АВТОРСКОГО КОЛЛЕКТИВА КАК ГРУППОВОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ
ЛИЧНОСТЬ-ЧТО СКРЫВАЕТСЯ ПОД ЭТИМ ОПРЕДЕЛЕНИЕМ?
ЛИЧНОСТЬ В АВТОРСКИХ ТЕОРИЯХ ПРЕДСТАВИТЕЛЕЙ ГУМАНИСТИЧЕСКОЙ ПСИХОЛОГИИ
ЛИЧНОСТЬ В ИСТОРИИ НАУКИ: ГЕРМАН ГЮНТЕР ГРАССМАН (ЗАВЕТКОНДРАШОВАПРОДОЛЖАТЬ ИСТОРИОГРАФИЧЕСКИЕ ИССЛЕДОВАНИЯ)
ЛИЧНОСТЬ В КОНЦЕПЦИИ ГУМАНИСТИЧЕСКОГО ВОСПИТАНИЯ
ЛИЧНОСТЬ В СИСТЕМЕ ВОСПИТАНИЯ
ЛИЧНОСТЬ В СОВРЕМЕННЫХ ОБРАЗОВАТЕЛЬНЫХ УСЛОВИЯХ ВЫСШЕЙ ШКОЛЫ
ЛИЧНОСТЬ В ЭТНИЧЕСКОЙ ДИВЕРСИФИКАЦИИ МИРА: СУЩНОСТЬ САМООПРЕДЕЛЕНИЕ РАЗВИТИЕ
ЛИЧНОСТЬ ГЕНРИХА VIII ТЮДОРА В УЧЕБНОЙ ЛИТЕРАТУРЕ ДЛЯ ШКОЛ РОССИИ (ИСТОРИОГРАФИЧЕСКИЙ АСПЕКТ)
ЛИЧНОСТЬ И КУЛЬТУРА В ШКОЛЕ XXI ВЕКА: КОНФЛИКТ И ВЗАИМОДЕЙСТВИЕ
ЛИЧНОСТЬ ИНЖЕНЕРА КАК ПРОДУКТ ГУМАНИТАРНОЙ СРЕДЫ ТЕХНИЧЕСКОГО ВУЗА
ЛИЧНОСТЬ КАК ДАННОСТЬ И ЗАДАННОСТЬ
ЛИЧНОСТЬ КАК ОБЪЕКТ ИССЛЕДОВАНИЯ В КОНТЕКСТЕ ИНФОРМАЦИОННОГО ОБЩЕСТВА
ЛИЧНОСТЬ ОБУЧАЮЩЕГОСЯ В КОНТЕКСТЕ ПСИХОЛОГИИ ЗДОРОВЬЯ
ЛИЧНОСТЬ ПЕДАГОГА В НОВОМ ФОРМАТЕ ОБРАЗОВАТЕЛЬНОГО ПРОСТРАНСТВА
ЛИЧНОСТЬ ПЕДАГОГА ДОШКОЛЬНОЙ ОБРАЗОВАТЕЛЬНОЙ ОРГАНИЗАЦИИ КАК ФАКТОР СТАНОВЛЕНИЯ ЛИЧНОСТИ РЕБЕНКА
ЛИЧНОСТЬ ПРЕПОДАВАТЕЛЯ КАК ФАКТОР ИСПОЛЬЗОВАНИЯ ДИСТАНЦИОННОГО ОБРАЗОВАНИЯ В ВЫСШЕЙ ШКОЛЕ
ЛИЧНОСТЬ ПРЕСТУПНИКА-НЕГАТИВНОЕ ВЛИЯНИЕ СОЦИАЛЬНОЙ МИКРОСРЕДЫ НА ЕЁ ФОРМИРОВАНИЕ
ЛИЧНОСТЬ РЕБЕНКА И МУЗЫКАЛЬНОЕ ТВОРЧЕСТВО
ЛИЧНОСТЬ РУКОВОДИТЕЛЯ В ТВОРЧЕСКОМ КОЛЛЕКТИВЕ
ЛИЧНОСТЬ РУКОВОДИТЕЛЯ ОРГАНИЗАЦИИ КАК ФАКТОР ЕГО УСПЕШНОЙ ДЕЯТЕЛЬНОСТИ В СИСТЕМЕ УПРАВЛЕНИЯ
ЛИЧНОСТЬ СТУДЕНТА-ПСИХОЛОГА КАК СУБЪЕКТ ИМИДЖФОРМИРУЮЩЕЙ ДЕЯТЕЛЬНОСТИ
ЛИЧНОСТЬПРОБЛЕМЫ СВОБОДЫ И ОТВЕТСТВЕННОСТИ
МАГИСТЕРСКОЕ ИССЛЕДОВАНИЕ ПО ПЕДАГОГИКЕ КАК СРЕДСТВО РАЗВИТИЯ ЛИЧНОСТИ
МАТЕРИАЛЬНО-ПРЕДМЕТНАЯ ДЕЯТЕЛЬНОСТЬ НА УРОКАХ ТЕХНОЛОГИИ КАК ОСНОВА РАЗВИТИЯ ЛИЧНОСТИ
МЕДИАОБРАЗОВАНИЕ КАК ФАКТОР ФОРМИРОВАНИЯ ЛИЧНОСТИ
МЕДИАТЕКСТ В ЦИФРОВОМ ПОРТФОЛИО-СРЕДСТВО САМОРАЗВИТИЯ ЛИЧНОСТИ УЧАЩЕГОСЯ В ШКОЛЕ
МЕЖДУНАРОДНАЯ КОНФЕРЕНЦИЯ ПО ПСИХОЛОГО-ПЕДАГОГИЧЕСКИМ АСПЕКТАМ РАЗВИТИЯ ЛИЧНОСТИ В УСЛОВИЯХ ГЛОБАЛИЗАЦИИ
МЕЖПРЕДМЕТНЫЕ СВЯЗИ В ФОРМИРОВАНИИ МОТИВАЦИОННОЙ СФЕРЫ ЛИЧНОСТИ СТУДЕНТОВ
МЕНЕДЖМЕНТ ЗДОРОВЬЯ КАК РЕСУРС САМОРАЗВИТИЯ СОВРЕМЕННОЙ ЛИЧНОСТИ
МЕНТАЛЬНАЯ АРИФМЕТИКА КАК МЕТОДИКА РАЗВИТИЯ ИНТЕЛЛЕКТУАЛЬНЫХ СПОСОБНОСТЕЙ ЛИЧНОСТИ УЧАЩИХСЯ МЛАДШИХ КЛАССОВ
МЕТАПРЕДМЕТНЫЙ ПОДХОД В РАЗВИТИИ ИННОВАЦИОННОЙ ПРОФЕССИОНАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТОВ ЮРИДИЧЕСКОГО ВУЗА
МЕТОДИКА МИНИМИЗАЦИИ НЕГАТИВНЫХ ФАКТОРОВ ИНФОРМАЦИОННОГО ВОЗДЕЙСТВИЯ НА ЛИЧНОСТЬ ВОЕННОСЛУЖАЩЕГО В ПРОЦЕССЕ ГОСУДАРСТВЕННОПАТРИОТИЧЕСКОГО ВОСПИТАНИЯ ПРИ ПОВСЕДНЕВНОЙ ДЕЯТЕЛЬНОСТИ
МЕТОДИКА ТРЕНИНГА ЭМОЦИОНАЛЬНОГО ИНТЕЛЛЕКТА КАК ИНСТРУМЕНТА ПОВЫШЕНИЯ ПСИХОЛОГИЧЕСКОГО БЛАГОПОЛУЧИЯ ВИКТИМНОЙ ЛИЧНОСТИ
МЕТОДИЧЕСКИЕ ОСОБЕННОСТИ ПЕРЕВОДА ПОНЯТИЯ ЛИЧНОСТЬ И СУБЪЕКТ В КИТАЙСКОЙ ПСИХОЛОГИЧЕСКОЙ И ПЕДАГОГИЧЕСКОЙ НАУЧНОЙ ЛИТЕРАТУРЕ
МЕТОДОЛОГИЧЕСКИЕ ОРИЕНТИРЫ РАЗВИТИЯ УСПЕШНОЙ ЛИЧНОСТИ
МЕТОДОЛОГИЧЕСКИЕ ОСНОВЫ РАЗВИТИЯ ТВОРЧЕСКОЙ ДЕЯТЕЛЬНОСТИ ЛИЧНОСТИ ПОДРОСТКА В СОЦИУМЕ (ТЕОРЕТИКО-МЕТОДОЛОГИЧЕСКИЙ АНАЛИЗ ПРОБЛЕМЫ)
МЕТОДОЛОГИЧЕСКИЙ И ТЕОРЕТИЧЕСКИЙ РЕСУРС КОНЦЕПЦИИ СИСТЕМЫ И СИСТЕМНО-ЭВОЛЮЦИОННОГО ПОДХОДА ДЛЯ ПСИХОЛОГИЧЕСКОГО ИССЛЕДОВАНИЯ ЖИЗНЕННОГО ЦИКЛА ЛИЧНОСТИ-ЧАСТЬ
МЕТОДОЛОГИЧЕСКИЙ И ТЕОРЕТИЧЕСКИЙ РЕСУРС ПСИХОЛОГИИ В АСПЕКТЕ ТЕОРИИ СИСТЕМ ДЛЯ ПСИХОЛОГИЧЕСКОГО ИССЛЕДОВАНИЯ ЖИЗНЕННОГО ЦИКЛА ЛИЧНОСТИ-ЧАСТЬ
МЕТОДОЛОГИЧЕСКИЙ ПОДХОД В СТАНОВЛЕНИИ ПЕВЧЕСКОЙ ЛИЧНОСТИ
МЕТОДОЛОГИЯ ИЗУЧЕНИЯ ПОТЕНЦИАЛА ПРОФЕССИОНАЛЬНОГО РАЗВИТИЯ ЛИЧНОСТИ УЧАЩИХСЯ-КЛАССОВ
МЕТОДЫ УПРАВЛЕНИЯ В ПРОФЕССИОНАЛЬНОМ СТАНОВЛЕНИИ ЛИЧНОСТИ ПРЕПОДАВАТЕЛЕЙ ГУМАНИТАРНЫХ НАУК
МЕХАНИЗМЫ ПСИХОЛОГИЧЕСКОЙ ЗАЩИТЫ И УРОВЕНЬ ПРИТЯЗАНИЙ ЛИЧНОСТИ
МИФОЛОГИЧЕСКАЯ ЛИЧНОСТЬ КАРЛОСА КАСТАНЕДЫ И МИСТИЦИЗМ ЕГО ТВОРЧЕСТВА
МНОГОМЕРНОЕ МЫШЛЕНИЕ-ОСНОВА РАЗВИТИЯ ИННОВАЦИОННОГО ПОТЕНЦИАЛА ЛИЧНОСТИ
МНОГОМЕРНОСТЬ ЛИЧНОСТИ ОДАРЕННОГО РЕБЕНКА
МНОГОЯЗЫЧИЕ КАК СПОСОБ ФОРМИРОВАНИЯ ПОЛИКУЛЬТУРНОЙ ЛИЧНОСТИ МОЛОДЕЖИ
МОДЕЛИ И МЕТОДОЛОГИЯ ТЕОРЕТИЗАЦИИ И ФОРМИРОВАНИЯ УСПЕШНОСТИ ЛИЧНОСТИ СТУДЕНТА УЧИЛИЩА ОЛИМПИЙСКОГО РЕЗЕРВА В СПОРТЕ НАУКЕ ОБРАЗОВАНИИ
МОДЕЛИРОВАНИЕ КОГНИТИВНОЙ ПОДСИСТЕМЫ УПРАВЛЕНИЯ ФОРМИРОВАНИЕМ И РАЗВИТИЕМ ПОЗНАВАТЕЛЬНЫХ СИЛ СПОСОБНОСТЕЙ И НАУЧНОГО МИРОВОЗЗРЕНИЯ ЛИЧНОСТИ ОБУЧАЕМЫХ
МОДЕЛИРОВАНИЕ ЛИЧНОСТИ ПРОФЕССИОНАЛЬНОГО И ЛИЧНОСТНОГО РАЗВИТИЯ УЧИТЕЛЯ
МОДЕЛИРОВАНИЕ СОЦИАЛЬНО-КУЛЬТУРНОГО МИРА ЛИЧНОСТИ В ОБРАЗОВАТЕЛЬНОМ ПРОСТРАНСТВЕ ВУЗА
МОДЕЛЬ ЛИЧНОСТИ ПРЕПОДАВАТЕЛЯ ПРАВОВЫХ ДИСЦИПЛИН ОБРАЗОВАТЕЛЬНОЙ ОРГАНИЗАЦИИ
МОДЕЛЬ ПЕРЕВЕРНУТОГО ЗАНЯТИЯ В АСПЕКТЕ РАЗВИТИЯ ЛИЧНОСТИ И В ОБУЧЕНИИ ПЕРЕВОДУ
МОДЕЛЬ ПОЭТАПНОЙ РЕАЛИЗАЦИИ СОПРОВОЖДЕНИЯ ПРОФЕССИОНАЛЬНО-ОБРАЗОВАТЕЛЬНОГО РАЗВИТИЯ ЛИЧНОСТИ СТУДЕНТА: МОТИВАЦИОННЫЙ КРИТЕРИЙ
МОДЕЛЬ РАЗВИВАЮЩЕЙ ОБРАЗОВАТЕЛЬНОЙ СРЕДЫ КАК УСЛОВИЕ ФОРМИРОВАНИЯ ЛИЧНОСТИ УЧАЩИХСЯ: ВКЛАД КАЛУЖСКИХ ПЕДАГОГОВ-НОВАТОРОВ
МОДЕЛЬ РЕАЛИЗАЦИИ КОМПЛЕКСА ПЕДАГОГИЧЕСКИХ УСЛОВИЙ ФОРМИРОВАНИЯ УПРАВЛЕНЧЕСКОЙ КОМПЕТЕНТНОСТИ ЛИЧНОСТИ В КОНТЕКСТЕ ГУМАНИСТИЧЕСКОГО ПОДХОДА К ВОЕННОМУ ОБРАЗОВАНИЮ
МОДЕЛЬ САМОРЕАЛИЗАЦИИ ЛИЧНОСТИ ВЗРОСЛОГО В ИЗОБРАЗИТЕЛЬНОЙ ДЕЯТЕЛЬНОСТИ ХАРАКТЕРНАЯ ДЛЯ ЗАПАДНОЙ КУЛЬТУРЫ
МОДЕЛЬ ФОРМИРОВАНИЯ КРЕАТИВНОГО ПОТЕНЦИАЛА ЛИЧНОСТИ В ОТРАСЛИ ОБРАЗОВАТЕЛЬНЫХ УСЛУГ
МОДЕЛЬ ФОРМИРОВАНИЯ МЕЖКУЛЬТУРНОЙ КОМПЕТЕНЦИИ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТОВ НЕЯЗЫКОВЫХ СПЕЦИАЛЬНОСТЕЙ (НА МАТЕРИАЛЕ ИЗУЧЕНИЯ ЯПОНСКОГО ЯЗЫКА И КУЛЬТУРЫ)
МОДЕЛЬ ФОРМИРОВАНИЯ НРАВСТВЕННОЙ КУЛЬТУРЫ ЛИЧНОСТИ В УСЛОВИЯХ ЭТНОРЕГИОНАЛЬНОЙ ОБРАЗОВАТЕЛЬНОЙ СИСТЕМЫ
МОДЕЛЬ ФОРМИРОВАНИЯ ТВОРЧЕСКОЙ ЛИЧНОСТИ ПОДРОСТКОВ В САМОДЕЯТЕЛЬНОМ ХОРЕОГРАФИЧЕСКОМ КОЛЛЕКТИВЕ
МОДЕЛЬ ФОРМИРОВАНИЯ ЭТНОКУЛЬТУРНЫХ КАЧЕСТВ ЛИЧНОСТИ БУДУЩИХ УЧИТЕЛЕЙ ШКОЛ СЕВЕРА
МОРАЛЬНАЯ ОТВЕТСТВЕННОСТЬ ЛИЧНОСТИ ЧЕРЕЗ ПРИЗМУ ПРОРОЧЕСКОГО ОТКРОВЕНИЯ
МОРАЛЬНО-НРАВСТВЕННОЕ РАЗВИТИЕ В СТРУКТУРЕ КУЛЬТУРНО-ПРАВОВОЙ ОРГАНИЗАЦИИ ЛИЧНОСТИ ПОДРОСТКОВ С ОПАСНЫМИ СОЦИАЛЬНЫМИ ДЕВИАЦИЯМИ
МОТИВАЦИОННОЕ РАЗВИТИЕ ЛИЧНОСТИ В ПРЕДМЕТНОЙ ДЕЯТЕЛЬНОСТИ УЧРЕЖДЕНИЙ КУЛЬТУРЫ
МОТИВАЦИОННЫЕ МЕХАНИЗМЫ ОПОСРЕДСТВУЮЩИЕ ГАРМОНИЧНУЮ САМОРЕАЛИЗАЦИЮ ЛИЧНОСТИ В ПРОФЕССИОНАЛЬНОЙ ДЕЯТЕЛЬНОСТИ
МОТИВАЦИОННЫЙ ПРОФИЛЬ ЛИЧНОСТИ ПОДРОСТКОВ РАЗНЫХ ПОКОЛЕНИЙ
МОТИВАЦИЯ И НАПРАВЛЕННОСТЬ ЛИЧНОСТИ КАК ОСНОВНЫЕ СОСТАВЛЯЮЩИЕ ПРИ ВЫБОРЕ ПРОФЕССИИ СТАРШЕКЛАССНИКАМИ
МОТИВАЦИЯ СТУДЕНТОВ СИБИРСКОГО ИНСТИТУТА УПРАВЛЕНИЯФИЛИАЛА РАНХИГС К ЗАНЯТИЯМ ФИЗИЧЕСКОЙ КУЛЬТУРОЙ И СПОРТОМ КАК КОМПОНЕНТ ФИЗИЧЕСКОГО РАЗВИТИЯ ЛИЧНОСТИ
МУЗЫКАЛЬНО-ТЕАТРАЛЬНАЯ ДЕЯТЕЛЬНОСТЬ КАК ФАКТОР ВОСПИТАНИЯ ТВОРЧЕСКОЙ ЛИЧНОСТИ
МУЗЫКАЛЬНО-ХОРЕОГРАФИЧЕСКОЕ И СОЦИАЛЬНОЕ ВОСПИТАНИЕ ДЕТЕЙ КАК СРЕДСТВО ХУДОЖЕСТВЕННОГО И СОЦИАЛЬНОГО РАЗВИТИЯ ЛИЧНОСТИ
НАБЛЮДАТЕЛЬНОСТЬ КАК СВОЙСТВО ЛИЧНОСТИ ПРИЕМНОГО (ЗАМЕЩАЮЩЕГО) РОДИТЕЛЯ
НАВЫК САМООРГАНИЗАЦИИ У УЧАЩЕЙСЯ МОЛОДЁЖИ КАК ФАКТОР РАЗВИТИЯ ЛИЧНОСТИ
НАЗНАЧЕНИЕ ИНФОРМАЦИОННЫХ И СМАРТ-ТЕХНОЛОГИЙ В ОБРАЗОВАНИИ И ИХ ВЛИЯНИЕ НА КОММУНИКАТИВНЫЕ ХАРАКТЕРИСТИКИ ЛИЧНОСТИ
НАПРАВЛЕННОСТЬ И ЦЕННОСТНЫЕ ОРИЕНТАЦИИ В СТРУКТУРЕ ЛИЧНОСТИ В ЮНОШЕСКОМ ВОЗРАСТЕ
НАПРАВЛЕННОСТЬ ЛИЧНОСТИ КАК ЦЕННОСТНЫЙ КОМПОНЕНТ СОЦИАЛЬНО-ПСИХОЛОГИЧЕСКОГО ВЗАИМОДЕЙСТВИЯ ПЕДАГОГОВ С ОБУЧАЮЩИМИСЯ
НАРРАТИВНЫЕ ТЕХНОЛОГИИ ФОРМИРОВАНИЯ ЦЕННОСТНО-СМЫСЛОВЫХ ОРИЕНТАЦИЙ ЛИЧНОСТИПСИХОЛОГИЧЕСКОЕ СОДЕРЖАНИЕ И ПРИМЕНЕНИЕ В ОБРАЗОВАТЕЛЬНОЙ ПРАКТИКЕ
НАСТАВНИЧЕСТВО В ФОРМИРОВАНИИ ЛИЧНОСТИ СТУДЕНТА МЕДИЦИНСКОГО ВУЗА
НАСТАВНИЧЕСТВО КАК МОДЕЛЬ СОПРОВОЖДЕНИЯ ПЕДАГОГА НА ЭТАПЕ ПЕРВИЧНОЙ ПРОФЕССИОНАЛИЗАЦИИ ЛИЧНОСТИ
НАУЧНО-МЕТОДОЛОГИЧЕСКИЕ ПОДХОДЫ К ПРОЦЕССУ ПЕДАГОГИЧЕСКОГО СОПРОВОЖДЕНИЯ ПОВЫШЕНИЯ СУБЪЕКТНО-ПРОФЕССИОНАЛЬНОГО ПОТЕНЦИАЛА ЛИЧНОСТИ
НАУЧНЫЙ ИСТОРИКО-ФИЛОЛОГИЧЕСКИЙ СЕМИНАР КАК ФОРМА СТАНОВЛЕНИЯ ТВОРЧЕСКОЙ ЛИЧНОСТИ: ПРОШЛО НАСТОЯЩЕ ПЕРСПЕКТИВЫ
НАЧЕНИЕ УЧЕБНОЙ ДИСЦИПЛИНЫ ПРОПЕДЕВТИКА В ПРОФЕССИОНАЛЬНОМ СТАНОВЛЕНИИ ЛИЧНОСТИ ДИЗАЙНЕРА
НЕВРОТИЧЕСКАЯ ЛИЧНОСТЬ С ПСИХОАНАЛИТИЧЕСКИХ ПОЗИЦИЙ
НЕКОТОРЫЕ АСПЕКТЫ ТАНЦЕВАЛЬНОЙ ИМПРОВИЗАЦИИ КАК ОСНОВЫ КРЕАТИВНОСТИ ЛИЧНОСТИ НА ПРИМЕРЕ ИСПАНСКОГО ТАНЦА ФЛАМЕНКО
НЕКОТОРЫЕ АСПЕКТЫ ФОРМИРОВАНИЯ КУЛЬТУРЫ ЛИЧНОСТИ СТУДЕНТА СРЕДСТВАМИ ФИЗИЧЕСКОЙ КУЛЬТУРЫ И СПОРТА НА ЗАНЯТИЯХ ПО ЛЁГКОЙ АТЛЕТИКЕ
НЕКОТОРЫЕ АСПЕКТЫ ФОРМИРОВАНИЯ КУЛЬТУРЫ ЛИЧНОСТИ СТУДЕНТА СРЕДСТВАМИ ФИЗИЧЕСКОЙКУЛЬТУРЫ И СПОРТА НА ЗАНЯТИЯХ ПО ВОЛЕЙБОЛУ
НЕКОТОРЫЕ СОЦИАЛЬНО-ПСИХОЛОГИЧЕСКИЕ ПРОБЛЕМЫ ЛИЧНОСТИ В ЭПОХУ SMART-ТЕХНОЛОГИЙ
НЕОБХОДИМОСТЬ И УСЛОВИЯ НЕПРЕРЫВНОГО РАЗВИТИЯ ИССЛЕДОВАТЕЛЬСКОЙ КОМПЕТЕНТНОСТИ ЛИЧНОСТИ В ПРОЦЕССЕ ЕЕ СТАНОВЛЕНИЯ КАК ПЕДАГОГА НАЧАЛЬНОГО ОБРАЗОВАНИЯ
НЕПРЕРЫВНОЕ ВОСПИТАНИЕ КАК ЭЛЕМЕНТ ОБРАЗОВАНИЯ ЛИЧНОСТИ СТУДЕНТА ЮРИДИЧЕСКОГО ВУЗА: ЭТНО-ИСТОРИЯ И СОВРЕМЕННОСТЬ
НРАВСТВЕННАЯ УСТОЙЧИВОСТЬ ЛИЧНОСТИСУЩНОСТЬ И СТРУКТУРА
НРАВСТВЕННО-ВОЛЕВЫЕ КАЧЕСТВА В СТРУКТУРЕ ЛИЧНОСТИ СТАРШЕКЛАССНИКА В СОВРЕМЕННЫХ УСЛОВИЯХ
НРАВСТВЕННОЕ САМООПРЕДЕЛЕНИЕ ЛИЧНОСТИ ЕГО СУЩНОСТЬ И ВИДЫ
НРАВСТВЕННОСТЬ-ОСНОВА ВОСПИТАНИЯ И РАЗВИТИЯ ЛИЧНОСТИ
НРАВСТВЕННЫЕ ЦЕННОСТИ В СТАНОВЛЕНИИ ЛИЧНОСТИ КУРСАНТОВ АКАДЕМИИ ФСИН РОССИИ
О ГАРМОНИИ И ДИСГАРМОНИИ ЧУВСТВ ИНТЕЛЛЕКТА И ВОЛИ В САМОРАЗВИТИИ ЛИЧНОСТИ
О ЗНАЧЕНИИ ХУДОЖЕСТВЕННО-ОБРАЗНЫХ ПРЕДСТАВЛЕНИЙ КАК НЕОТЪЕМЛЕМОЙ ЧАСТИ ФОРМИРОВАНИЯ ЛИЧНОСТИ МУЗЫКАНТА
О МОДУЛЬНОЙ СТРУКТУРЕ ИЗЛОЖЕНИЯ МИРОВОЗЗРЕНИЯ ЛИЧНОСТИ
О ПОДГОТОВКЕ ПЕДАГОГОВ В ОБЛАСТИ ИНФОРМАЦИОННОЙ БЕЗОПАСНОСТИ ЛИЧНОСТИ
О ПРОБЛЕМАТИЗАЦИИ ЭКОЛОГИЧЕСКОГО РАЗВИТИЯ ЛИЧНОСТИ В ЦИФРОВОМ ОБРАЗОВАНИИ
О ПРОГРАММЕ ФОРМИРОВАНИЯ АНТИКОРРУПЦИОННОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ КУРСАНТОВ ОБРАЗОВАТЕЛЬНЫХ ОРГАНИЗАЦИЙ ФСИН РОССИИ
О РАЗВИТИИ ЛИЧНОСТИ СОВРЕМЕННОГО ПЕДАГОГА
О РАЗВИТИИ ЯЗЫКОВЫХ КУЛЬТУРНЫХ И КОГНИТИВНЫХ СПОСОБНОСТЕЙ ПОЛИЛИНГВАЛЬНОЙ ЛИЧНОСТИ В МНОГОЯЗЫЧНОЙ ОБРАЗОВАТЕЛЬНОЙ СРЕДЕ
О РОЛИ ЛИЧНОСТИ ПРЕПОДАВАТЕЛЯ В ДИСТАНЦИОННОМ ОБУЧЕНИИ ИНОСТРАННОМУ ЯЗЫКУ
О РОЛИ САМОРАЗВИТИЯ ЛИЧНОСТИ В ИСЛАМСКОМ ОБРАЗОВАНИИ
О РОЛИ САМОСТОЯТЕЛЬНОЙ РАБОТЫ В ФОРМИРОВАНИИ ЛИЧНОСТИ СТУДЕНТОВ
О РОЛИ ЭКОЛОГИЧЕСКОГО ВОСПИТАНИЯ В ФОРМИРОВАНИИ ЛИЧНОСТИ
О ФАКТОРАХ САМОРАЗВИТИЯ ЛИЧНОСТИ СТУДЕНТА
О ФОРМИРОВАНИИ ЯЗЫКОВОЙ ЛИЧНОСТИ БАКАЛАВРОВ НАЧАЛЬНОГО ОБРАЗОВАНИЯ В ПРОЦЕССЕ ИЗУЧЕНИЯ ЛЕКСИКОЛОГИИ РУССКОГО ЯЗЫКА
ОБЗОР НАУЧНО-ТЕОРЕТИЧЕСКИХ ИССЛЕДОВАНИЙ ЦЕННОСТНЫХ ОРИЕНТАЦИЙ ЛИЧНОСТИ
ОБОСНОВАНИЕ РЕКОНСТРУКЦИИ ПСИХОЛОГИЧЕСКИХ СТРАТЕГИЙ ПРОФЕССИОНАЛЬНОГО УСПЕХА ЛИЧНОСТИ (НА ПРИМЕРЕ АНАЛИЗА ПРЕДПРИНИМАТЕЛЬСКИХ ИСТОРИЙ)
ОБРАЗ И ИМИДЖ ЛИЧНОСТИ
ОБРАЗОВАТЕЛЬНАЯ СРЕДА ВУЗА В РАЗВИТИИ ЛИЧНОСТИ ОБУЧАЮЩИХСЯ
ОБРАЗОВАТЕЛЬНО-ВОСПИТАТЕЛЬНЫЙ ПОТЕНЦИАЛ РУССКОЙ ДУХОВНОЙ МУЗЫКИ В ФОРМИРОВАНИИ КУЛЬТУРЫ ЛИЧНОСТИ СТУДЕНТА ПЕДАГОГИЧЕСКОГО ВУЗА
ОБРАЗОВАТЕЛЬНЫЙ ДИСКУРС КАК ЕДИНСТВО ОБУЧЕНИЯ И ФОРМИРОВАНИЯ ЛИЧНОСТИ (ИСТОРИЯ И СОВРЕМЕННОСТЬ)
ОБРАЩЕНИЕ К УКРАИНСКОМУ МУЗЫКАЛЬНОМУ ФОЛЬКЛОРУЗАЛОГ ВОСПИТАНИЯ ДУХОВНОСТИ И НАЦИОНАЛЬНОЙ ИДЕНТИЧНОСТИ ЛИЧНОСТИ РЕБЕНКА:АСПЕКТЫ
ОБУЧЕНИЕ АКТЕРСКОМУ МАСТЕРСТВУ КАК ОПЫТ СОЦИАЛИЗАЦИИ ЛИЧНОСТИ В СОЦИАЛЬНО-КУЛЬТУРНОЙ СРЕДЕ
ОБУЧЕНИЕ ПОЛЕМИЧЕСКОМУ ОБЩЕНИЮ В РАМКАХ КУРСА ИНОСТРАННЫЙ ЯЗЫК В ПРОФЕССИОНАЛЬНОЙ СФЕРЕ КАК ФАКТОР ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ
ОПК И ВНУТРЕННЕЕ САМООПРЕДЕЛЕНИЕ ЛИЧНОСТИ
ОПРЕДЕЛЕНИЕ УРОВНЯ ДУХОВНОГО РАЗВИТИЯ ЛИЧНОСТИ У СТУДЕНТОВ МЕДИЦИНСКОГО ВУЗА
ОРГАНИЗАЦИОННО-ПЕДАГОГИЧЕСКИЕ ОСНОВЫ ФОРМИРОВАНИЯ КОММУНИКАТИВНЫХ УМЕНИЙ ЛИЧНОСТИ ПОСРЕДСТВОМ ИНТЕРАКТИВНЫХ ТЕХНОЛОГИЙ
ОРГАНИЗАЦИОННЫЕ АСПЕКТЫ ПАТРИОТИЧЕСКОГО ВОСПИТАНИЯ СТУДЕНТОВ ВУЗА С УЧЕТОМ ЦЕННОСТНОГО ТИПА ЛИЧНОСТИ
ОРГАНИЗАЦИЯ И МЕТОДИКА ЭКСПЕРИМЕНТАЛЬНОГО ИССЛЕДОВАНИЯ ПЛАНИРОВАНИЕ ЭКСПЕРИМЕНТА В УСЛОВИЯХ КОГНИТИВНОЙ ПОДСИСТЕМЫ ФОРМИРОВАНИЯ ПОЗНАВАТЕЛЬНЫХ СИЛ СПОСОБНОСТЕЙ И НАУЧНОГО МИРОВОЗЗРЕНИЯ ЛИЧНОСТИ ОБУЧАЕМЫХ (НА ПРИМЕРЕ КОЛЛЕДЖЕЙ ТЕХНИЧЕСКОГО ПРОФИЛЯ)
ОРГАНИЗАЦИЯ ПЕДАГОГИЧЕСКОГО ОБЕСПЕЧЕНИЯ СОЦИАЛИЗАЦИИ ЛИЧНОСТИ В СОВРЕМЕННЫХ УСЛОВИЯХ
ОРГАНИЗАЦИЯ ПСИХОЛОГИЧЕСКОЙ ПОДДЕРЖКИ ЛИЧНОСТИ В УСЛОВИЯХ СОВРЕМЕННОГО ОБРАЗОВАНИЯ КАК ТЕОРЕТИЧЕСКАЯ И ПРИКЛАДНАЯ ПРОБЛЕМА
ОРГАНИЗАЦИЯ РАБОТЫ ПО ПЕДАГОГИЧЕСКОМУ ОБЕСПЕЧЕНИЮ ФОРМИРОВАНИЯ ЛИЧНОСТИ В УСЛОВИЯХ СЕТЕВОЙ ФОРМЫ РЕАЛИЗАЦИИ ОБРАЗОВАТЕЛЬНЫХ ПРОГРАММ
ОРГАНИЗАЦИЯ СОЦИАЛЬНОГО ПАРТНЕРСТВА ПО ФОРМИРОВАНИЮ ФИЗИЧЕСКОЙ ТЕХНОЛОГИЧЕСКОЙ КУЛЬТУРЫ И КУЛЬТУРЫ БЕЗОПАСНОСТИ ЛИЧНОСТИ ОБУЧАЮЩИХСЯ
ОСНОВНЫЕ КОМПОНЕНТЫ КОНКУРЕНТОСПОСОБНОЙ ЛИЧНОСТИ
ОСНОВНЫЕ НАПРАВЛЕНИЯ И ПОДХОДЫ К ИЗУЧЕНИЮ ИНФОРМАЦИОННО-ПСИХОЛОГИЧЕСКОЙ БЕЗОПАСНОСТИ ЛИЧНОСТИ
ОСНОВНЫЕ НАПРАВЛЕНИЯ НРАВСТВЕННОГО И ПАТРИОТИЧЕСКОГО ВОСПИТАНИЯ ФОРМИРОВАНИЕ ВОЛЕВЫХ КАЧЕСТВ ЛИЧНОСТИ СТУДЕНТОВ ГОСУДАРСТВЕННЫХ И НЕГОСУДАРСТВЕННЫХ ВУЗОВ
ОСНОВНЫЕ ОБРАЗОВАТЕЛЬНЫЕ ТЕХНОЛОГИИ ФОРМИРОВАНИЯ ФИЗИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ
ОСНОВНЫЕ ФАКТОРЫ ВЛИЯЮЩИЕ НА РАЗВИТИЕ ЕСТЕСТВЕННОНАУЧНОГО МИРОВОЗЗРЕНИЯ ЛИЧНОСТИ СТУДЕНТА УНИВЕРСИТЕТА
ОСНОВЫ ПСИХОЛОГИЧЕСКИХ ЗНАНИЙ О ЛИЧНОСТИ ИНВАЛИДОВ
ОСОБЕННОСТИ АДАПТАЦИИ ЛИЧНОСТИ В УСЛОВИЯХ СОВРЕМЕННОГО ИНФОРМАЦИОННОГО ПРОСТРАНСТВА
ОСОБЕННОСТИ АКЦЕНТУАЦИЙ ЛИЧНОСТИ УЧИТЕЛЕЙ МУЗЫКИ С ПРИЗНАКАМИ ЭМОЦИОНАЛЬНОГО ВЫГОРАНИЯ
ОСОБЕННОСТИ АЛЬТРУИСТИЧЕСКИХ УСТАНОВОК ЛИЧНОСТИ ПРЕДСТАВИТЕЛЕЙ ПОМОГАЮЩИХ ПРОФЕССИЙ (НА ПРИМЕРЕ СОТРУДНИКОВ СКОРОЙ МЕДИЦИНСКОЙ ПОМОЩИ)
ОСОБЕННОСТИ ВЗАИМОСВЯЗИ НАПРАВЛЕННОСТИ ЛИЧНОСТИ В ОБЩЕНИИ И МЕЖЛИЧНОСТНОЙ ОБРАТНОЙ СВЯЗИ БУДУЩИХ ПЕДАГОГОВ-ПСИХОЛОГОВ
ОСОБЕННОСТИ ВЗАИМОСВЯЗИ САМООЦЕНКИ И КОММУНИКАТИВНЫХ КАЧЕСТВ ЛИЧНОСТИ КУРСАНТОВ ВОЕННОГО ИНСТИТУТА ВОЙСК НАЦИОНАЛЬНОЙ ГВАРДИИ
ОСОБЕННОСТИ ВЛИЯНИЯ ВНЕШНЕЙ СРЕДЫ НА КАЧЕСТВО ЖИЗНИ ЛИЧНОСТИ В СОВРЕМЕННОМ МИРЕ
ОСОБЕННОСТИ ВЛИЯНИЯ СОЦИАЛЬНЫХ СЕТЕЙ НА РАЗВИТИЕ ЛИЧНОСТИ ДЕТЕЙ МЛАДШЕГО ШКОЛЬНОГО ВОЗРАСТА
ОСОБЕННОСТИ ВОСПИТАНИЯ РОССИЙСКОЙ МОЛОДЕЖИ НА СОЦИАЛЬНО-КУЛЬТУРНОМ ИДЕАЛЕ ЛИЧНОСТИ
ОСОБЕННОСТИ ВОСПИТАНИЯ У УЧАЩИХСЯ КЛАССА РОСГВАРДИИ СОЦИАЛЬНОСТИ КАК НРАВСТВЕННОГО КАЧЕСТВА ЛИЧНОСТИ
ОСОБЕННОСТИ ВРЕМЕННОЙ ПЕРСПЕКТИВЫ ЛИЧНОСТИ НА ЭТАПЕ ПРОФЕССИОНАЛЬНОГО САМООПРЕДЕЛЕНИЯ
ОСОБЕННОСТИ ЖИЗНЕСПОСОБНОСТИ СТУДЕНТОВ С РАЗНЫМИ УРОВНЯМИ АВТОНОМНОСТИ ЛИЧНОСТИ
ОСОБЕННОСТИ ИЗУЧЕНИЯ ПРОФЕССИОНАЛЬНОЙ ОТРАСЛЕВОЙ ИДЕНТИФИКАЦИИ ЛИЧНОСТИ (ПОИЛ) РУКОВОДИТЕЛЯ С УЧЕТОМ ГЕНДЕРНОГО ФАКТОРА И КОНФЛИКТНОСТИ
ОСОБЕННОСТИ ИНДИВИДУАЛЬНО-ПСИХОЛОГИЧЕСКИХ СВОЙСТВ ЛИЧНОСТИ СТУДЕНТОВ-УЧАСТНИКОВ ИННОВАЦИОННОЙ ДЕЯТЕЛЬНОСТИ
ОСОБЕННОСТИ ИНДИВИДУАЛЬНОСТИ ЛИЧНОСТИ КУРСАНТОВ С ВЫСОКИМ УРОВНЕМ САМОРЕГУЛЯЦИИ
ОСОБЕННОСТИ ЛЕКСИКОНА КИТАЙСКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ В СОЦИАЛЬНОЙ СЕТИ WEIBO
ОСОБЕННОСТИ ЛИЧНОСТИ СОТРУДНИКА ОХРАНЫ УГОЛОВНО-ИСПОЛНИТЕЛЬНОЙ СИСТЕМЫ РОССИЙСКОЙ ФЕДЕРАЦИИ
ОСОБЕННОСТИ ЛИЧНОСТИ СПЕЦИАЛИСТА РАБОТАЮЩЕГО С ДЕТЬМИ С РАССТРОЙСТВАМИ АУТИСТИЧЕСКОГО СПЕКТРА (ЧАСТЬ )
ОСОБЕННОСТИ ЛИЧНОСТИ СПОРТСМЕНОВ ВЫСОКОЙ КВАЛИФИКАЦИИ
ОСОБЕННОСТИ НАПРАВЛЕННОСТИ ЛИЧНОСТИ ВОЛОНТЕРОВ НА ДОБРОВОЛЬНО ОСУЩЕСТВЛЯЕМУЮ ВОЛОНТЕРСКУЮ РАБОТУ
ОСОБЕННОСТИ НРАВСТВЕННО-ЭТИЧЕСКОЙ СФЕРЫ ЛИЧНОСТИ МЕДИЦИНСКИХ РАБОТНИКОВ
ОСОБЕННОСТИ ОПТИМИЗАЦИИ ЗНАНИЙ ПО ХИМИИ ПОСРЕДСТВОМ ПСИХОЛОГИЧЕСКИХ ОСОБЕННОСТЕЙ ЛИЧНОСТИ БУДУЩЕГО УЧИТЕЛЯ ХИМИИ
ОСОБЕННОСТИ ПАТРИОТИЧЕСКОГО ВОСПИТАНИЯ БУДУЩИХ СОТРУДНИКОВ ПОЛИЦИИ НА ИСТОРИЧЕСКОМ ИДЕАЛЕ ЛИЧНОСТИ
ОСОБЕННОСТИ ПРОФЕССИОНАЛЬНОГО ВЫГОРАНИЯ ЛИЧНОСТИ ПЕДАГОГОВ (НА ПРИМЕРЕ СРАВНЕНИЯ УЧИТЕЛЕЙ И ВОСПИТАТЕЛЕЙ РАЙОННОГО И ОБЛАСТНОГО ЦЕНТРОВ)
ОСОБЕННОСТИ ПРОФЕССИОНАЛЬНОЙ САМОРЕАЛИЗАЦИИ ЛИЧНОСТИ КУРСАНТОВ
ОСОБЕННОСТИ ПРОФЕССИОНАЛЬНЫХ КРИЗИСОВ ЛИЧНОСТИ
ОСОБЕННОСТИ ПРОЯВЛЕНИЯ ПСИХИЧЕСКИХ СВОЙСТВ ЛИЧНОСТИ В УСЛОВИЯХ ФИЗКУЛЬТУРНОЙ ДЕЯТЕЛЬНОСТИ
ОСОБЕННОСТИ РАЗВИТИЯ АНАЛИТИЧЕСКИХ СПОСОБНОСТЕЙ ЛИЧНОСТИ В УСЛОВИЯХ ПЕДАГОГИЧЕСКИ ОРГАНИЗОВАННОЙ МУЗЫКАЛЬНОЙ СРЕДЫ
ОСОБЕННОСТИ РАЗВИТИЯ ЛИЧНОСТИ МЛАДШИХ ШКОЛЬНИКОВ С ГАРМОНИЧНЫМ И ДИСГАРМОНИЧНЫМ ТИПАМИ ОДАРЕННОСТИ
ОСОБЕННОСТИ РАЗВИТИЯ ЛИЧНОСТИ С ЗАВИСИМЫМ ПОВЕДЕНИЕМ В ПЕРИОД ВЗРОСЛОСТИ
ОСОБЕННОСТИ РАЗВИТИЯ ПРОФЕССИОНАЛЬНО-ЦЕННОСТНОГО ПОТЕНЦИАЛА ЛИЧНОСТИ БУДУЩЕГО ВОСПИТАТЕЛЯ В ПОЛИКУЛЬТУРНОЙ ОБРАЗОВАТЕЛЬНОЙ СРЕДЕ ВЫСШЕЙ ШКОЛЫ
ОСОБЕННОСТИ РАЗВИТИЯ У СТУДЕНТОВ С ИНВАЛИДНОСТЬЮ И ОГРАНИЧЕННЫМИ ВОЗМОЖНОСТЯМИ ЗДОРОВЬЯ КАЧЕСТВ КОНКУРЕНТОСПОСОБНОЙ ЛИЧНОСТИ
ОСОБЕННОСТИ РОЛЕВОЙ РЕФЛЕКСИИ СТУДЕНТА В ДИДАКТИЧЕСКОМ ЗВЕНЕ ЛИЧНОСТЬ-ГРУППА
ОСОБЕННОСТИ САМОРАЗВИТИЯ ЛИЧНОСТИ ПСИХОЛОГА СО СТАЖЕМ ПРОФЕССИОНАЛЬНОЙ ДЕЯТЕЛЬНОСТИ МЕНЕЕ-Х ЛЕТ
ОСОБЕННОСТИ СИСТЕМЫ ЦЕННОСТНЫХ ОРИЕНТАЦИЙ И СТРУКТУРЫ ЖИЗНЕСТОЙКОСТИ ЛИЧНОСТИ МОЛОДЕЖИ С ВЫСОКИМ УРОВНЕМ ЛИДЕРСКИХ СПОСОБНОСТЕЙ
ОСОБЕННОСТИ СОЦИАЛИЗАЦИИ ЛИЧНОСТИ РЕБЕНКА В РАМКАХ ПАРУСНОГО СПОРТА
ОСОБЕННОСТИ СОЦИАЛИЗАЦИИ ЛИЧНОСТИ СТУДЕНТОВ ПЕДАГОГИЧЕСКОГО ВУЗА В КОНТЕКСТЕ КОМПЕТЕНТНОСТНОГО ПОДХОДА
ОСОБЕННОСТИ СОЦИАЛЬНО-ПСИХОЛОГИЧЕСКИХ УСТАНОВОК ЛИЧНОСТИ В МОТИВАЦИОННО- ПОТРЕБНОСТНОЙ СФЕРЕ СТУДЕНТОВ МЕДИЦИНСКОГО ВУЗА
ОСОБЕННОСТИ СОЦИАЛЬНОГО ИНТЕЛЛЕКТА И ЭМОЦИОНАЛЬНОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ У СТУДЕНТОВ ТЕХНИЧЕСКОГО ПРОФИЛЯ ПОДГОТОВКИ
ОСОБЕННОСТИ СОЦИОТИПА ТВОРЧЕСКОЙ ЛИЧНОСТИ В ЮНОСТИ
ОСОБЕННОСТИ СТРУКТУРНО-ФУНКЦИОНАЛЬНОЙ ОРГАНИЗАЦИИЯ МЕТАКОГНИТИВНОЙ СФЕРЫ ЛИЧНОСТИ В УПРАВЛЕНЧЕСКОЙ ДЕЯТЕЛЬНОСТИ
ОСОБЕННОСТИ ФОРМИРОВАНИЯ КУЛЬТУРЫ БЕЗОПАСНОСТИ ЛИЧНОСТИ В УСЛОВИЯХ СОВРЕМЕННОГО ВУЗА
ОСОБЕННОСТИ ФОРМИРОВАНИЯ ЛИЧНОСТИ В ПРЕПОДАВАНИИ ОБЩЕСТВОЗНАНИЯ ПРИ ИСПОЛЬЗОВАНИИ ИНТЕРАКТИВНЫХ ТЕХНОЛОГИЙ
ОСОБЕННОСТИ ФОРМИРОВАНИЯ ЛИЧНОСТИ В ПРОЦЕССЕ ЗАНЯТИЙ ФИЗИЧЕСКОЙ КУЛЬТУРОЙ И СПОРТОМ
ОСОБЕННОСТИ ФОРМИРОВАНИЯ ЛИЧНОСТИ МУЗЫКАНТА И КУЛЬТУРЫ ИСПОЛНИТЕЛЬСТВА
ОСОБЕННОСТИ ФОРМИРОВАНИЯ ЛИЧНОСТИ ПОДРОСТКОВ В УСЛОВИЯХ ДЕТСКОГО ДОМА
ОСОБЕННОСТИ ФОРМИРОВАНИЯ МОТИВАЦИИ ЛИЧНОСТИ ОБУЧАЮЩИХСЯ ОБРАЗОВАТЕЛЬНЫХ ОРГАНИЗАЦИЙ
ОСОБЕННОСТИ ФОРМИРОВАНИЯ ОСНОВНЫХ НОВООБРАЗОВАНИЙ ЛИЧНОСТИ В ПЕРИОД ВОЗРАСТНОЙ СЕНЗИТИВНОСТИ
ОСОБЕННОСТИ ФОРМИРОВАНИЯ ПОЛИКУЛЬТУРНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ ОБУЧАЮЩЕГОСЯ В ОБРАЗОВАТЕЛЬНОЙ ОРГАНИЗАЦИИ СИСТЕМЫ МВД РОССИИ В ПРОЦЕССЕ РАЗВИТИЯ ИНОЯЗЫЧНОГО ТЕЗАУРУСА
ОСОБЕННОСТИ ФОРМИРОВАНИЯ ПРОФЕССИОНАЛЬНОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ КУРСАНТОВ ЭКОНОМИЧЕСКОГО ПРОФИЛЯ
ОСОБЕННОСТИ ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТА В РАМКАХ ИНОЯЗЫЧНОЙ ПОДГОТОВКИ В ТЕХНИЧЕСКОМ ВУЗЕ
ОСОБЕННОСТИ ЦЕННОСТНО-МОТИВАЦИОННОЙ СФЕРЫ ЛИЧНОСТИ ПСИХОЛОГОВ И ПСИХИАТРОВ
ОТВЕТСТВЕННОСТЬ ЛИЧНОСТИ В СОВРЕМЕННОМ ОБЩЕСТВЕМЕЖДИСЦИПЛИНАРНЫЙ ПОДХОД
ОТКРЫТЫЙ РЫНОК И ЕГО СПЕЦИФИКА В УСЛОВИЯХ ГЛОБАЛИЗАЦИИ: К ВОПРОСУ О ТОВАРНЫХ ХАРАКТЕРИСТИКАХ ЛИЧНОСТИ
ОЦЕНКА ЗНАЧИМОСТИ ХОЗЯЙСТВЕННО-ЭКОНОМИЧЕСКИХ МЕТОДОВ ОБУЧЕНИЯ ФОРМИРУЮЩИХ ПРОФЕССИОНАЛЬНУЮ НАПРАВЛЕННОСТЬ ЛИЧНОСТИ ОБУЧАЮЩЕГОСЯ
ПАТРИОТИЧЕСКОЕ ВОСПИТАНИЕ ЛИЧНОСТИ: ЭТНОПЕДАГОГИЧЕСКИЙ ПОДХОД
ПАТРИОТИЧЕСКОЕ ВОСПИТАНИЕ МОЛОДЁЖИ НА ИСТОРИЧЕСКОМ РОССИЙСКОМ ИДЕАЛЕ ЛИЧНОСТИ
ПЕДАГОГ ДЕТСКОГО САДА-КЛЮЧЕВАЯ ЛИЧНОСТЬ ПО СОЗДАНИЮ УСЛОВИЙ УСПЕШНОГО РАЗВИТИЯ И САМОРАЗВИТИЯ СОВРЕМЕННОГО РЕБЕНКА-ДОШКОЛЬНИКА
ПЕДАГОГИКА ОБРАЗОВАНИЯ И РАЗВИТИЯ ЛИЧНОСТИ СПОРТИВНОГО МЕНЕДЖЕРА
ПЕДАГОГИЧЕСКАЯ АНДРАГОГИКА КАК ПРИОРИТЕТНАЯ НАУЧНАЯ ПРОБЛЕМА СТАНОВЛЕНИЯ ЛИЧНОСТИ ВЫСОКОГО ПРОФЕССИОНАЛЬНОГО СТАТУСА
ПЕДАГОГИЧЕСКАЯ СИСТЕМА МУЗЫКАЛЬНОГО ВОСПИТАНИЯОРФА И ЕЕ ВЛИЯНИЕ НА ФОРМИРОВАНИЕ ТВОРЧЕСКОЙ ЛИЧНОСТИ РЕБЕНКА
ПЕДАГОГИЧЕСКАЯ СИТУАЦИЯ КАК МЕХАНИЗМ РАЗВИТИЯ ПОЛИКУЛЬТУРНОЙ ЛИЧНОСТИ СТУДЕНТОВ В ОБРАЗОВАТЕЛЬНОМ ПРОЦЕССЕ ВУЗА
ПЕДАГОГИЧЕСКАЯ ТЕХНОЛОГИЯ ФОРМИРОВАНИЯ ФИЗИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ МЛАДШИХ ШКОЛЬНИКОВ СЕЛЬСКОЙ МЕСТНОСТИ
ПЕДАГОГИЧЕСКАЯ ФАСИЛИТАЦИЯ ФОРМИРОВАНИЯ ПРОФЕССИОНАЛЬНО ВАЖНЫХ КАЧЕСТВ ЛИЧНОСТИ КУРСАНТОВ
ПЕДАГОГИЧЕСКИ ОРГАНИЗОВАННАЯ МУЗЫКАЛЬНАЯ СРЕДА КАК ИНДИКАТОР УРОВНЯ РАЗВИТИЯ КУЛЬТУРЫ ЛИЧНОСТИ
ПЕДАГОГИЧЕСКИ ОРГАНИЗОВАННАЯ МУЗЫКАЛЬНАЯ СРЕДА НА УРОКАХ ВОКАЛА КАК ФАКТОР РАЗВИТИЯ ЛИЧНОСТИ
ПЕДАГОГИЧЕСКИЕ АСПЕКТЫ ЛИЧНОСТИ СПЕЦИАЛИСТА ПО ОГНЕВОЙ И ФИЗИЧЕСКОЙ ПОДГОТОВКЕ
ПЕДАГОГИЧЕСКИЕ ИДЕИСУХОМЛИНСКОГО В КОНТЕКСТЕ РЕАЛИЗАЦИИ ТРЕБОВАНИЙ ФЕДЕРАЛЬНЫХ ГОСУДАРСТВЕННЫХ ОБРАЗОВАТЕЛЬНЫХ СТАНДАРТОВ К УСЛОВИЯМ СОДЕРЖАНИЮ И РЕЗУЛЬТАТАМ ФОРМИРОВАНИЯ ЛИЧНОСТИ ОБУЧАЮЩИХСЯ
ПЕДАГОГИЧЕСКИЕ КОНСТРУКТЫ И ПЕДАГОГИЧЕСКИЕ КОНСТРУКТОРЫ В ИЗУЧЕНИИ И ИССЛЕДОВАНИИ ОСНОВ ПЕДАГОГИЧЕСКОЙ ПОДДЕРЖКИ ЛИЧНОСТИ В СИСТЕМЕ НЕПРЕРЫВНОГО ОБРАЗОВАНИЯ
ПЕДАГОГИЧЕСКИЕ ОСНОВЫ СОВЕРШЕНСТВОВАНИЯ ТВОРЧЕСКОЙ ЛИЧНОСТИ СТУДЕНТОВ
ПЕДАГОГИЧЕСКИЕ ОСНОВЫ СОЦИАЛИЗАЦИИ ЛИЧНОСТИ В МОДЕЛИ НАУЧНО-ИССЛЕДОВАТЕЛЬСКОЙ ДЕЯТЕЛЬНОСТИ
ПЕДАГОГИЧЕСКИЕ ОСНОВЫ ФОРМИРОВАНИЯ МОТИВАЦИОННОГО КОМПОНЕНТА ФИЗИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ У ЛЕГКОАТЛЕТОВ-ЛЕТ
ПЕДАГОГИЧЕСКИЕ УСЛОВИЯ ОПТИМИЗАЦИИ МОДЕЛИРОВАНИЯ ОСНОВ ПЕДАГОГИЧЕСКОЙ ПОДДЕРЖКИ ЛИЧНОСТИ В СИСТЕМЕ НЕПРЕРЫВНОГО ОБРАЗОВАНИЯ
ПЕДАГОГИЧЕСКИЕ ФАКТОРЫ ВЛИЯЮЩИЕ НА ФОРМИРОВАНИЕ ЛИЧНОСТИ ОФИЦЕРА ВОЙСК НАЦИОНАЛЬНОЙ ГВАРДИИ РФ
ПЕДАГОГИЧЕСКИЙ АСПЕКТ ПРОБЛЕМЫ ФОРМИРОВАНИЯ ПОЛИТИЧЕСКОГО СОЗНАНИЯ ЛИЧНОСТИ ВОЕННОСЛУЖАЩЕГО
ПЕДАГОГИЧЕСКИЙ И КУЛЬТУРНО-НРАВСТВЕННЫЙ ПОДХОД В РАЗВИТИИ ЛИЧНОСТИ ШКОЛЬНИКА МЕТОДИЧЕСКИЕ ПРИЕМЫ
ПЕДАГОГИЧЕСКИЙ ПОТЕНЦИАЛ ХУДОЖЕСТВЕННОЙ КУЛЬТУРЫ В ЭСТЕТИЧЕСКОМ ВОСПИТАНИИ ЛИЧНОСТИ ШКОЛЬНИКА
ПЕДАГОГИЧЕСКОЕ ПРОСВЕЩЕНИЕ РОДИТЕЛЕЙ В ОБЛАСТИ НРАВСТВЕННОГО ФОРМИРОВАНИЯ ЛИЧНОСТИ И ПРОФИЛАКТИКИ ЭКСТРЕМИЗМА
ПЕДАГОГИЧЕСКОЕ СОПРОВОЖДЕНИЕ ДУХОВНО-НРАВСТВЕННОГО РАЗВИТИЯ ЛИЧНОСТИК ПРОБЛЕМЕ ОСМЫСЛЕНИЯ ТЕРМИНОЛОГИИ
ПЕДАГОГИЧЕСКОЕ СОПРОВОЖДЕНИЕ ОБУЧАЮЩЕГОСЯ С ЦЕЛЬЮ ОБЕСПЕЧЕНИЯ ИНФОРМАЦИОННОЙ БЕЗОПАСНОСТИ ЛИЧНОСТИ
ПЕДАГОГИЧЕСКОЕ СОПРОВОЖДЕНИЕ ПОВЫШЕНИЯ СУБЪЕКТНО-ПРОФЕССИОНАЛЬНОГО ПОТЕНЦИАЛА ЛИЧНОСТИ В ПРОЦЕССЕ ПОДГОТОВКИ В ВУЗЕ СОЦИОНОМИЧЕСКОЙ СФЕРЫ ДЕЯТЕЛЬНОСТИ
ПЕДАГОГИЧЕСКОЕ СОПРОВОЖДЕНИЕ СТАНОВЛЕНИЯ САМОРАЗВИВАЮЩЕЙСЯ ЛИЧНОСТИ
ПЕРСОНАЛЬНАЯ ОТВЕТСТВЕННОСТЬ СТУДЕНТОВ ТУРИСТСКОГО ВУЗА КАК ПРОФЕССИОНАЛЬНО ВАЖНОЕ КАЧЕСТВО ЛИЧНОСТИ
ПЕРСОНИФИКАЦИЯ И ОПРЕДЕЛЕНИЕ СТРУКТУРЫ ПЕРСОНИФИЦИРОВАННОГО ПРОСТРАНСТВА КАК УСЛОВИЯ РАСШИРЕНИЯ ВОЗМОЖНОСТЕЙ ЛИЧНОСТИ
ПОВЫШЕНИЕ ПРОФЕССИОНАЛЬНОГО УРОВНЯ И ПЕДАГОГИЧЕСКОГО МАСТЕРСТВА ПРЕПОДАВАТЕЛЕЙЗАЛОГ УСПЕШНОГО ФОРМИРОВАНИЯ ЛИЧНОСТИ
ПОДГОТОВКА МАГИСТРАНТОВ К ОСУЩЕСТВЛЕНИЮ ПЕДАГОГИЧЕСКОГО СОПРОВОЖДЕНИЯ СТАНОВЛЕНИЯ САМОРАЗВИВАЮЩЕЙСЯ ЛИЧНОСТИ
ПОДГОТОВКА ЯЗЫКОВОЙ ЛИЧНОСТИ К ПРОДУКТИВНОМУ ОБЩЕНИЮ В ПРОЦЕССЕ МЕЖКУЛЬТУРНОЙ КОММУНИКАЦИИ
ПОДДЕРЖКА РАЗВИТИЯ ЛИЧНОСТИ ВОЗМОЖНОСТЯМИ ТЕАТРАЛЬНОЙ СРЕДЫ ГОРОДА ПОСРЕДСТВОМ МОБИЛЬНЫХ ПРИЛОЖЕНИЙ
ПОДХОД К РАЗРАБОТКЕ МОДЕЛИ ЛИЧНОСТИ ОБУЧАЮЩЕГОСЯ И МЕТОДИКА ЕЕ ОЦЕНКИ С УЧЕТОМ ПРОФЕССИОНАЛЬНОЙ НАПРАВЛЕННОСТИ
ПОЗИТИВНЫЕ ДЕТСКО-РОДИТЕЛЬСКИЕ ОТНОШЕНИЯ КАК ФАКТОР РАЗВИТИЯ ЛИЧНОСТИ
ПОЛИКУЛЬТУРНОСТЬ В ОБРАЗОВАНИИ КАК СТРАТЕГИЯ САМООПРЕДЕЛЕНИЯ ЛИЧНОСТИ В ЭПОХУ ГЛОБАЛИЗАЦИИ
ПОЛИТИЧЕСКАЯ СОЦИАЛИЗАЦИЯ В ПРОЦЕССЕ ФОРМИРОВАНИЯ ЛИЧНОСТИ
ПОЛОВОЗРАСТНЫЕ ОСОБЕННОСТИ АКЦЕНТУАЦИЙ ХАРАКТЕРА И АГРЕССИВНОГО ПОВЕДЕНИЯ ПОДРОСТКОВ КАК КОМПОНЕНТЫ БЕЗОПАСНОСТИ ЛИЧНОСТИ
ПОНЯТИЕ СУЩНОСТЬ И СОДЕРЖАНИЕ ЦЕННОСТНЫХ ОРИЕНТАЦИЙ ЛИЧНОСТИ
ПОРТРЕТ СЕТЕВОЙ ЛИЧНОСТИ В КОНТЕКСТЕ ТЕОРИИ ПОКОЛЕНИЙ
ПОРТРЕТНАЯ ЖИВОПИСЬ XVIII ВЕКА В РОССИ ЭПОХА И ЛИЧНОСТЬ
ПОТЕНЦИАЛ АРТПЕДАГОГИКИ В ГАРМОНИЗАЦИИ РАЗВИТИЯ ЛИЧНОСТИ
ПОТЕНЦИАЛ РАЗВИТИЯ ЛИЧНОСТИ В КОНТЕКСТЕ ГУМАНИЗАЦИИ
ПОТРЕБНОСТЬ В ПРОФЕССИОНАЛЬНОМ САМОРАЗВИТИИ СТУДЕНТОВ-БУДУЩИХ УЧИТЕЛЕЙ КАК ФАКТОР СОЦИАЛЬНОГО БЛАГОПОЛУЧИЯ ЛИЧНОСТИ
ПРАВОВОЕ САМОСОЗНАНИЕ КАК ЗНАЧИМЫЙ КРИТЕРИЙ ЛИЧНОСТИ БУДУЩИХ ЮРИСТОВ
ПРАВОСЛАВНАЯ ПЕДАГОГИКА КАК ОСНОВАНИЕ ВОСПИТАНИЯ ЛИЧНОСТИ В СИСТЕМЕ ДОШКОЛЬНОГО ОБРАЗОВАНИЯ
ПРЕДПОСЫЛКИ ВИКТИМИЗАЦИИ ЛИЧНОСТИ
ПРЕДРАСПОЛОЖЕННОСТЬ ЛИЧНОСТИ ГОССЛУЖАЩЕГО КАК ЯДРО СПЕЦИФИКАЦИИ ЕГО ПРОФЕССИОНАЛЬНОЙ ДЕЯТЕЛЬНОСТИ
ПРЕДСТАВЛЕНИЕ О ФУНКЦИОНАЛЬНОСТИ (ФУНКЦИОНАЛЬНЫХ ВОЗМОЖНОСТЯХ) ЛИЧНОСТИ КАК СУБЪЕКТА САМОВОСПРИЯТИЯ
ПРЕОБЛАДАНИЕ СИГНАЛЬНЫХ СИСТЕМ И ТИПЫ ЛИЧНОСТИ (ПОПАВЛОВУ)
ПРЕПОДАВАНИЕ ГРАММАТИКИ В ПРОЦЕССЕ РАЗВИТИЯ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТОВ ЭКОНОМИЧЕСКИХ СПЕЦИАЛЬНОСТЕЙ
ПРЕЦЕДЕНТНЫЕ ТЕКСТЫ КАК СРЕДСТВО РАЗВИТИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТА-РЕКЛАМИСТА
ПРИВНЕСЕНИЕ В РОССИЙСКОЕ ОБРАЗОВАНИЕ ЕВРОПЕЙСКОГО ОПЫТА ФОРМИРОВАНИЯ ИНФОРМАЦИОННОЙ КУЛЬТУРЫ ЛИЧНОСТИ
ПРИМЕНЕНИЕ ЗДОРОВЬЕСБЕРЕГАЮЩИХ ТЕХНОЛОГИЙ ВО ВНЕУРОЧНОЙ ДЕЯТЕЛЬНОСТИ НАХИМОВЦЕВ В РАЗВИТИИ СОЦИАЛЬНЫХ ЦЕННОСТЕЙ ЛИЧНОСТИ
ПРИНЦИП НЕПРИКОСНОВЕННОСТИ ЛИЧНОСТИ В УГОЛОВНОМ ПРОЦЕССЕОТКУДА ПОЯВИЛСЯ -ЧАСОВОЙ СРОК ЗАДЕРЖАНИЯ И КАК С НИМ БЫТЬ?
ПРИНЦИПЫ СИНЕРГЕТИЧЕСКОГО ПОДХОДА В ПСИХОЛОГО-ПЕДАГОГИЧЕСКОМ ОБЕСПЕЧЕНИИ ОПТИМИЗАЦИИ КАЧЕСТВА ЖИЗНИ ЛИЧНОСТИ С ОГРАНИЧЕННЫМИ ВОЗМОЖНОСТЯМИ ЗДОРОВЬЯ
ПРИНЦИПЫ СМЫСЛОДИДАКТИКИ И ЛОГИКО-СМЫСЛОВЫХ ПОДХОДОВ В РАЗВИТИИ ОБУЧАЮЩЕЙСЯ ЛИЧНОСТИ
ПРИОРИТЕТНЫЕ ЗАДАЧИ ФИЗИЧЕСКОГО ВОСПИТАНИЯ СТУДЕНТОВ В КОНТЕКСТЕ ФОРМИРОВАНИЯ БАЗОВОЙ КУЛЬТУРЫ И СОВЕРШЕНСТВОВАНИЯ ЛИЧНОСТИ
ПРОБЛЕМА АКТУАЛИЗАЦИИ РЕСУРСОВ В КОНТЕКСТЕ САМОРЕАЛИЗАЦИИ ЛИЧНОСТИ В ДЕТСКО-ЮНОШЕСКОМ СПОРТЕ
ПРОБЛЕМА ИЗУЧЕНИЯ НАДЕЖНОСТИ КАК ЛИЧНОСТНО-ПРОФЕССИОНАЛЬНОГО КАЧЕСТВА ЛИЧНОСТИ В ПСИХОЛОГИЧЕСКОЙ НАУКЕ
ПРОБЛЕМА КОНФЛИКТНОСТИ ЛИЧНОСТИ КУРСАНТОВ ВОЕННОГО ИНСТИТУТА
ПРОБЛЕМА ЛИЧНОСТИ В ПЬЕСЕ ЭДВАРДА ОЛБИ Я КАК ТАКОВОЙ И Я
ПРОБЛЕМА НРАВСТВЕННОГО СТАНОВЛЕНИЯ ЛИЧНОСТИ В СОВРЕМЕННОЙ СИСТЕМЕ ПРОФЕССИОНАЛЬНОГО ОБРАЗОВАНИЯ
ПРОБЛЕМА ПРОСОЦИАЛЬНОГО ПОВЕДЕНИЯ ЛИЧНОСТИ В ОТЕЧЕСТВЕННОЙ ПСИХОЛОГИИ: ОТ ИСТОКОВ К СОВРЕМЕННЫМ ИССЛЕДОВАНИЯМ
ПРОБЛЕМА РАЗВИТИЯ ЛИЧНОСТИ В УСЛОВИЯХ ПОЛИКУЛЬТУРНОГО ОБРАЗОВАТЕЛЬНОГО ПРОСТРАНСТВА
ПРОБЛЕМА РАЗВИТИЯ ЛИЧНОСТИ ВОСПИТАННИКА В ПЕДАГОГИЧЕСКОМ УЧЕНИИШТАЙНЕРА
ПРОБЛЕМА САМОАКТУАЛИЗАЦИИ ЛИЧНОСТИ В РАБОТАХ ОТЕЧЕСТВЕННЫХ И ЗАРУБЕЖНЫХ АВТОРОВ
ПРОБЛЕМА САМОРАЗВИТИЯ ЛИЧНОСТИ В ЗАРУБЕЖНОЙ ПЕДАГОГИКЕ XIX-XX ВЕКОВ
ПРОБЛЕМА САМОРАЗВИТИЯ ЛИЧНОСТИ В ТРУДАХ ОТЕЧЕСТВЕННЫХ И ЗАРУБЕЖНЫХ ПСИХОЛОГОВ
ПРОБЛЕМА СМЫСЛОЖИЗНЕННЫХ ОРИЕНТАЦИЙ ЛИЧНОСТИ В ИСТОРИИ ПСИХОЛОГИИ
ПРОБЛЕМА СОПРОТИВЛЯЕМОСТИ ЛИЧНОСТИ ТРУДНЫМ ЖИЗНЕННЫМ СИТУАЦИЯМ В УСЛОВИЯХ ОБРАЗОВАТЕЛЬНОЙ СРЕДЫ В РОССИЙСКИХ И ЗАРУБЕЖНЫХ ИССЛЕДОВАНИЯХ
ПРОБЛЕМА СОЦИАЛИЗАЦИИ ЛИЧНОСТИ В КОНТЕКСТЕ СОВРЕМЕННОГО ОБРАЗОВАНИЯ УЧАЩЕЙСЯ МОЛОДЕЖИ
ПРОБЛЕМА СОЦИАЛЬНО-ПСИХОЛОГИЧЕСКИХ КАЧЕСТВ ЛИЧНОСТИ СОТРУДНИКОВ МВД В СОВРЕМЕННЫХ ПСИХОЛОГИЧЕСКИХ ИССЛЕДОВАНИЯХ
ПРОБЛЕМА СТРУКТУРЫ МОТИВАЦИОННОЙ СФЕРЫ ЛИЧНОСТИ
ПРОБЛЕМА ТЕОРЕТИЗАЦИИ ВОЗМОЖНОСТЕЙ ФОРМИРОВАНИЯ ПАТЕНТНО-ТЕХНИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ В СИСТЕМЕ НЕПРЕРЫВНОГО ОБРАЗОВАНИЯ
ПРОБЛЕМА УСИЛЕНИЯ НРАВСТВЕННО-ДУХОВНОГО ВОСПИТАНИЯ В УЧЕБНОМ ПРОЦЕССЕ КАК СУБСТРАТА РАЗВИТИЯ ЦЕЛОСТНОЙ ЛИЧНОСТИ
ПРОБЛЕМА ФОРМИРОВАНИЯ ЛИЧНОСТИ В ПРЕПОДАВАНИИ КУРСА МИРОВАЯ ХУДОЖЕСТВЕННАЯ КУЛЬТУРА В ВЫСШЕЙ ШКОЛЕ
ПРОБЛЕМА ФОРМИРОВАНИЯ СИСТЕМЫ ДУХОВНЫХ И НРАВСТВЕННЫХ ЦЕННОСТЕЙ ЛИЧНОСТИ СТУДЕНТА
ПРОБЛЕМА ФОРМИРОВАНИЯ СОЦИАЛЬНО-ЭКОЛОГИЧЕСКОЙ УСТОЙЧИВОСТИ ЛИЧНОСТИ В ШКОЛЬНОЙ ПРАКТИКЕ
ПРОБЛЕМА ФОРМИРОВАНИЯ УСПЕШНОСТИ ЛИЧНОСТИ С УЧЕТОМ ВОЗРАСТНЫХ ОСОБЕННОСТЕЙ
ПРОБЛЕМА ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ
ПРОБЛЕМАТИКА ИСПОЛЬЗОВАНИЯ НАВЫКОВ ЧТЕНИЯ И ПЕРЕВОДА ПРИ ФОРМИРОВАНИИ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ
ПРОБЛЕМНОЕ ОБУЧЕНИЕ КАК ОДИН ИЗ МЕТОДОВ ФОРМИРОВАНИЯ ДУХОВНЫХ КАЧЕСТВ ЛИЧНОСТИ ОБУЧАЮЩИХСЯ НА УРОКАХ ЛИТЕРАТУРЫ
ПРОБЛЕМНОЕ ПОЛЕ РАЗВИТИЯ ЭКОЛОГИЧЕСКОГО СОЗНАНИЯ ЛИЧНОСТИ В ЦИФРОВОМ ПРОСТРАНСТВЕ
ПРОБЛЕМЫ ВОСПИТАНИЯ ЛИЧНОСТИ В ВУЗЕ КАК СОЦИАЛЬНОМ ИНСТИТУТЕВОЗРАСТНОЙ КОНТЕКСТ
ПРОБЛЕМЫ ВОСПИТАНИЯ ЛИЧНОСТИ В ПРОЦЕССЕ ПРЕПОДАВАНИЯ ОСНОВ МЕНЕДЖМЕНТА
ПРОБЛЕМЫ И ВОЗМОЖНОСТИ ФОРМИРОВАНИЯ ИНФОРМАЦИОННОЙ КУЛЬТУРЫ ЛИЧНОСТИ В ВУЗЕ
ПРОБЛЕМЫ ИЗУЧЕНИЯ ЛИЧНОСТИ НЕСОВЕРШЕННОЛЕТНЕГО ПРЕСТУПНИКА
ПРОБЛЕМЫ ОПРЕДЕЛЕНИЯ УСПЕШНОСТИ ЛИЧНОСТИ В ПРОЦЕССЕ ЛИЧНОСТНО-ПРОФЕССИОНАЛЬНОГО РАЗВИТИЯ
ПРОБЛЕМЫ САМОАКТУАЛИЗАЦИИ ЛИЧНОСТИ В ПЕДАГОГИЧЕСКОЙ ДЕЯТЕЛЬНОСТИ И ЕЁ ВЗАИМОСВЯЗЬ С УРОВНЕМ ПРОФЕССИОНАЛЬНОГО ВЫГОРАНИЯ
ПРОБЛЕМЫ САМОВОСПИТАНИЯ И САМОРАЗВИТИЯ ЛИЧНОСТИ
ПРОБЛЕМЫ САМОРЕАЛИЗАЦИИ ЛИЧНОСТИ В СОВРЕМЕННОМ СОЦИОКУЛЬТУРНОМ ИНФОРМАЦИОННОМ ПРОСТРАНСТВЕ
ПРОБЛЕМЫ САМОРЕАЛИЗАЦИИ ЛИЧНОСТИ В ЦИФРОВУЮ ЭПОХУ
ПРОБЛЕМЫ СОВРЕМЕННОЙ ПСИХОДИАГНОСТИКИ ЛИЧНОСТИТЕОРИЯ И ИНСТРУМЕНТАРИЙ
ПРОБЛЕМЫ ФОРМИРОВАНИЯ ДУХОВНЫХ ИНТЕРЕСОВ ЛИЧНОСТИ В СОВРЕМЕННОМ ОБЩЕСТВЕ
ПРОБЛЕМЫ ФОРМИРОВАНИЯ ЗДОРОВОЙ ЛИЧНОСТИ В ПРОЦЕССЕ ОБУЧЕНИЯ В ВЫСШЕЙ ШКОЛЕ
ПРОБЛЕМЫ ФОРМИРОВАНИЯ КОММУНИКАТИВНОГО ПОВЕДЕНИЯ ЛИЧНОСТИ В ЭТНОКУЛЬТУРНОЙ СРЕДЕ
ПРОБЛЕМЫ ФОРМИРОВАНИЯ ПОЛИЯЗЫКОВОЙ ЛИЧНОСТИ
ПРОБЛЕМЫ ЭФФЕКТИВНОЙ ПРОФИЛАКТИКИ ДЕВИАНТНОГО ПОВЕДЕНИЯ ФОРМИРУЮЩЕЙСЯ ЛИЧНОСТИ В ОБРАЗОВАТЕЛЬНОЙ ОРГАНИЗАЦИИ В УСЛОВИЯХ ЦИФРОВИЗАЦИИ ВСЕХ СТОРОН ЖИЗНИ ОБЩЕСТВА
ПРОГНОЗИРОВАНИЕ ПОВЕДЕНИЯ ПЕДАГОГОВ В УСЛОВИЯХ ТРАНСФОРМАЦИИ СИСТЕМЫ ОБРАЗОВАНИЯ НА ОСНОВЕ ДИСПОЗИЦИОННОЙ КОНЦЕПЦИИ ЛИЧНОСТИЯДОВА
ПРОГРАММА ЭКОЛОГИЯ ДУШИ КАК ОСНОВА ФОРМИРОВАНИЯ ЦЕННОСТНО-СМЫСЛОВОГО ОРИЕНТИРА ЛИЧНОСТИ ДЕТЕЙ-СИРОТ
ПРОГРАММА ФАКУЛЬТАТИВНОГО КУРСА ОСНОВЫ ПРАВОСЛАВНОЙ КУЛЬТУРЫ УЧИТЕЛЯ МУЗЫКИ КАК СРЕДСТВО ФОРМИРОВАНИЯ КУЛЬТУРЫ ЛИЧНОСТИ СТУДЕНТА ПЕДАГОГИЧЕСКОГО ВУЗА
ПРОГРАММНОЕ ОБЕСПЕЧЕНИЕ ПРОЦЕССА РАЗВИТИЯ ТВОРЧЕСКОГО СТАНОВЛЕНИЯ ЛИЧНОСТИ СТУДЕНТОВ
ПРОЕКТИРОВАНИЕ И РЕАЛИЗАЦИЯ ВОЗМОЖНОСТЕЙ ПОВЫШЕНИЯ КАЧЕСТВА САМОРЕАЛИЗАЦИИ И СОТРУДНИЧЕСТВА ЛИЧНОСТИ В СПОРТИВНО-ОБРАЗОВАТЕЛЬНОЙ СРЕДЕ
ПРОЕКТИРОВАНИЕ И РЕАЛИЗАЦИЯ МОДЕЛИ СТАНОВЛЕНИЯ ЖИЗНЕСПОСОБНОЙ ЛИЧНОСТИ БУДУЩЕГО УЧИТЕЛЯ В УСЛОВИЯХ ПЕДАГОГИЧЕСКОГО КОЛЛЕДЖА
ПРОЕКТИРОВАНИЕ ОБРАЗОВАТЕЛЬНОЙ СРЕДЫ КАК УСЛОВИЕ ВОСПИТАНИЯ ТВОРЧЕСКОЙ ЛИЧНОСТИ
ПРОЕКТИРОВАНИЕ РЕФЛЕКСИВНОГО ПОЛЯ КАК СПОСОБА ОРГАНИЗАЦИИ ДЕЯТЕЛЬНОСТИ ЛИЧНОСТИ
ПРОЕКТНАЯ ДЕЯТЕЛЬНОСТЬ ШКОЛЬНИКОВ КАК ПЕРСПЕКТИВНОЕ НАПРАВЛЕНИЕ РАЗВИТИЯ ОБРАЗОВАНИЯ С ЦЕЛЬЮ ФОРМИРОВАНИЯ ЛИЧНОСТИ РЕБЕНКА
ПРОЕКТНО-ТЕХНОЛОГИЧЕСКИЙ МЕТОД ОБУЧЕНИЯ-ОСНОВА РАЗВИТИЯ СОВРЕМЕННОЙ ЛИЧНОСТИ ШКОЛЬНИКА В УСЛОВИЯХНОВОЙ УКРАИНСКОЙ ШКОЛЫ
ПРОЕКТНОЕ ОБУЧЕНИЕ КАК УСЛОВИЕ ФОРМИРОВАНИЯ КОНКУРЕНТОСПОСОБНОЙ ЛИЧНОСТИ
ПРОФЕССИОАЛЬНОЕ ОБРАЗОВАНИЕ КАК ДОСТОЯНИЕ ЛИЧНОСТИ
ПРОФЕССИОНАЛИЗАЦИЯ ЛИЧНОСТИ ВОЕННОГО СПЕЦИАЛИСТАСУЩНОСТЬ И СОДЕРЖАНИЕ
ПРОФЕССИОНАЛИЗМ ЛИЧНОСТИ КАК УНИВЕРСАЛЬНАЯ КАТЕГОРИЯ СОВРЕМЕННОГО ОБРАЗОВАНИЯ
ПРОФЕССИОНАЛИЗМ ПЕДАГОГА КАК КАТЕГОРИЯ КУЛЬТУРЫК ВОПРОСУ О ФОРМИРОВАНИИ ПРОФЕССИОНАЛЬНОЙ ЛИЧНОСТИ СОВРЕМЕННОГО УЧИТЕЛЯ
ПРОФЕССИОНАЛЬНАЯ ДЕФОРМАЦИЯ ЛИЧНОСТИ И ФАКТОРЫ ВЫЗЫВАЮЩИЕ ЕЕ РАЗВИТИЕ У СОТРУДНИКОВ СЛЕДСТВЕННЫХ ПОДРАЗДЕЛЕНИЙ ОРГАНОВ ВНУТРЕННИХ ДЕЛ
ПРОФЕССИОНАЛЬНАЯ ДЕФОРМАЦИЯ ЛИЧНОСТИ ИНСПЕКТОРОВ ПО ИСПОЛНЕНИЮ АДМИНИСТРАТИВНОГО ЗАКОНОДАТЕЛЬСТВА ГОСУДАРСТВЕННОЙ ИНСПЕКЦИИ БЕЗОПАСНОСТИ ДОРОЖНОГО ДВИЖЕНИЯ
ПРОФЕССИОНАЛЬНАЯ ДЕФОРМАЦИЯ ЛИЧНОСТИ ПЕДАГОГА И ПУТИ ЕЕ ПРЕОДОЛЕНИЯ
ПРОФЕССИОНАЛЬНАЯ ДЕФОРМАЦИЯ ЛИЧНОСТИ СЛЕДОВАТЕЛЯ И ПУТИ ЕЕ ПРЕОДОЛЕНИЯ
ПРОФЕССИОНАЛЬНАЯ ДЕФОРМАЦИЯ ЛИЧНОСТИ СОТРУДНИКОВ СОЦИАЛЬНО-ПРАВОВОЙ СФЕРЫ И ПУТИ ЕЕ ПРЕДУПРЕЖДЕНИЯ
ПРОФЕССИОНАЛЬНАЯ ДЕФОРМАЦИЯ ЛИЧНОСТИ ЮРИСТОВ
ПРОФЕССИОНАЛЬНАЯ ДЕФОРМАЦИЯ ЛИЧНОСТИАНАЛИЗ ОСНОВНЫХ ПСИХОЛОГИЧЕСКИХ ДЕТЕРМИНАНТ
ПРОФЕССИОНАЛЬНАЯ ИДЕНТИФИКАЦИЯ КАК МЕХАНИЗМ САМОРАЗВИТИЯ ПРОФЕССИОНАЛЬНОГО СОЗНАНИЯ ЛИЧНОСТИ
ПРОФЕССИОНАЛЬНАЯ ИНИЦИАТИВНОСТЬ КАК ЗНАЧИМОЕ КАЧЕСТВО ЛИЧНОСТИ БУДУЩЕГО ПЕДАГОГА
ПРОФЕССИОНАЛЬНАЯ КОМПЕТЕНТНОСТЬ КАК ИНТЕГРАЛЬНАЯ ХАРАКТЕРИСТИКА ЛИЧНОСТИ СТУДЕНТА В ОБРАЗОВАТЕЛЬНОМ ПРОСТРАНСТВЕ ВУЗА
ПРОФЕССИОНАЛЬНАЯ НАПРАВЛЕННОСТЬ И МОТИВАЦИЯ УЧЕБНО-ПРОФЕССИОНАЛЬНОЙ ДЕЯТЕЛЬНОСТИ СТУДЕНТОВ КАК ОСНОВАНИЯ СТАНОВЛЕНИЯ ЛИЧНОСТИ ПЕДАГОГА НА ЭТАПЕ ОБУЧЕНИЯ В ВУЗЕ
ПРОФЕССИОНАЛЬНАЯ ОТРАСЛЕВАЯ ИДЕНТИФИКАЦИЯ ЛИЧНОСТИСОДЕРЖАНИЕ СТРУКТУРА КОНЦЕПЦИЯ УПРАВЛЕНИЯ
ПРОФЕССИОНАЛЬНО ВАЖНЫЕ КАЧЕСТВА ЛИЧНОСТИ КАК ФАКТОР КОНКУРЕНТОСПОСОБНОСТИ СОВРЕМЕННЫХ СПЕЦИАЛИСТОВ СФЕРЫ ЧЕЛОВЕКЧЕЛОВЕК
ПРОФЕССИОНАЛЬНО ЗНАЧИМЫЕ ЧЕРТЫ ЛИЧНОСТИ ПРАКТИЧЕСКОГО ПСИХОЛОГА
ПРОФЕССИОНАЛЬНО-ЛИЧНОСТНЫЕ КАЧЕСТВА СОВРЕМЕННОГО УЧИТЕЛЯ ТЕХНОЛОГИИ КАК ФАКТОР ФОРМИРОВАНИЯ ВЫСОКОНРАВСТВЕННОЙ ЛИЧНОСТИ
ПРОФЕССИОНАЛЬНО-ПРИКЛАДНАЯ ФИЗИЧЕСКАЯ ПОДГОТОВКА КАК СРЕДСТВО ВОСПИТАНИЯ И СОВЕРШЕНСТВОВАНИЯ ЛИЧНОСТИ КУРСАНТА
ПРОФЕССИОНАЛЬНО-РОЛЕВОЕ САМООПРЕДЕЛЕНИЕ ЛИЧНОСТИ
ПРОФЕССИОНАЛЬНО-ТВОРЧЕСКАЯ САМОРЕАЛИЗАЦИЯ ЛИЧНОСТИ КАК КАТЕГОРИЯ ПРОФЕССИОНАЛЬНОЙ УСПЕШНОСТИ В ОБРАЗОВАНИИ
ПРОФЕССИОНАЛЬНО-ЦЕННОСТНЫЕ ОРИЕНТАЦИИ ЛИЧНОСТИТЕОРИЯ И ПРАКТИКА
ПРОФЕССИОНАЛЬНОЕ МИРОВОЗЗРЕНИЕ ЛИЧНОСТИ КАК КОМПОНЕНТ КОМПЕТЕНТНОСТНОЙ МОДЕЛИ СПЕЦИАЛИСТА
ПРОФЕССИОНАЛЬНОЕ РАЗВИТИЕ ЛИЧНОСТИ БУДУЩЕГО СПЕЦИАЛИСТА ПО СОЦИАЛЬНОЙ РАБОТЕ В УСЛОВИЯХ ВЫСШЕГО ОБРАЗОВАНИЯ
ПРОФЕССИОНАЛЬНОЕ РАЗВИТИЕ ЛИЧНОСТИ БУДУЩЕГО СПЕЦИАЛИСТА ПО СОЦИАЛЬНОЙ РАБОТЕ В УСЛОВИЯХ ВЫСШЕГО ОБРАЗОВАНИ ЧАСТЬ
ПРОФЕССИОНАЛЬНОЕ РАЗВИТИЕ ЛИЧНОСТИ В АСПЕКТЕ СИНЕРГЕТИЧЕСКОЙ АКМЕОЛОГИИ
ПРОФЕССИОНАЛЬНОЕ РАЗВИТИЕ ЛИЧНОСТИ С ТОЧКИ ЗРЕНИЯ СОВРЕМЕННОЙ ПСИХОЛОГИИ
ПРОФЕССИОНАЛЬНОЕ САМООБРАЗОВАНИЕРЕСУРС СТАНОВЛЕНИЯ ТВОРЧЕСКОЙ ЛИЧНОСТИ ПЕДАГОГА-ВОСПИТАТЕЛЯ
ПРОФЕССИОНАЛЬНОЕ САМООПРЕДЕЛЕНИЕ ЛИЧНОСТИ КАК ПЕДАГОГИЧЕСКАЯ ПРОБЛЕМА
ПРОФЕССИОНАЛЬНОЕ САМООПРЕДЕЛЕНИЕ ЛИЧНОСТИКРИТЕРИИ ГОТОВНОСТИ УЧАЩИХСЯ И УРОВНИ СФОРМИРОВАННОСТИ
ПРОФЕССИОНАЛЬНОЕ СТАНОВЛЕНИЕ ЛИЧНОСТИ В ОБРАЗОВАТЕЛЬНОЙ СРЕДЕ
ПРОФЕССИОНАЛЬНЫЕ ДЕФОРМАЦИИ ЛИЧНОСТИ В СОВРЕМЕННОМ ОБЩЕСТВЕ (НА ПРИМЕРЕ ПРОДАВЦОВ ТОРГОВОЙ СЕТИ)
ПРОФЕССИОНАЛЬНЫЕ ДЕФОРМАЦИИ ЛИЧНОСТИ ПЕДАГОГАПРОБЛЕМЫ И ПУТИ РЕШЕНИЯ
ПРОФЕССИОНАЛЬНЫЙ ОТБОР И РАЗВИТИЕ ПРОФЕССИОНАЛЬНО ЗНАЧИМЫХ КАЧЕСТВ ЛИЧНОСТИ У БУДУЩИХ УПРАВЛЕНЧЕСКИХ КАДРОВ В СФЕРЕ ОБРАЗОВАНИЯ
ПРОЦЕСС ВОСПИТАНИЯ КАК ЭТАП ЦЕЛЕНАПРАВЛЕННОГО ФОРМИРОВАНИЯ ЛИЧНОСТИ
ПРОЯВЛЕНИЕ ДУХОВНОСТИ КАК ОСНОВЫ ФИЗИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ
ПРОЯВЛЕНИЕ ЭМОЦИОНАЛЬНОГО ИНТЕЛЛЕКТА КАК СУЩЕСТВЕННЫЙ ПРИЗНАК НАРРАТИВИЗАЦИИ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ
ПРОЯВЛЕНИЯ ОТВЕТСТВЕННОСТИ СУВОРОВЦЕВ С РАЗЛИЧНОЙ НАПРАВЛЕННОСТЬЮ ЛИЧНОСТИ НА УРОКАХ ТЕХНОЛОГИИ
ПСИХИЧЕСКОЕ И ПСИХОЛОГИЧЕСКОЕ ЗДОРОВЬЕ В СТРУКТУРЕ ЛИЧНОСТИ ПЕДАГОГА
ПСИХОЛОГИЧЕСКАЯ БЕЗОПАСНОСТЬ ЛИЧНОСТИ
ПСИХОЛОГИЧЕСКАЯ БЕЗОПАСНОСТЬ ЛИЧНОСТИ В СТРЕССОВЫХ СИТУАЦИЯХ
ПСИХОЛОГИЧЕСКАЯ ДИАГНОСТИКА ВИКТИМНОСТИ КАК СОЦИАЛЬНО-ПСИХОЛОГИЧЕСКОГО СВОЙСТВА ЛИЧНОСТИ
ПСИХОЛОГИЧЕСКАЯ УСТОЙЧИВОСТЬ КАК ФАКТОР ФОРМИРОВАНИЯ ЛИЧНОСТИ В ПОМОГАЮЩИХ ПРОФЕССИЯХ
ПСИХОЛОГИЧЕСКИЕ АСПЕКТЫ ИССЛЕДОВАНИЯ ПРОБЛЕМЫ РАЗВИТИЯ ПРОФЕССИОНАЛЬНОГО СТАНОВЛЕНИЯ ЛИЧНОСТИ СТУДЕНТА
ПСИХОЛОГИЧЕСКИЕ ОСНОВЫ ПРОФЕССИОНАЛЬНОГО РАЗВИТИЯ ЛИЧНОСТИ ОБУЧАЮЩИХСЯ ВУЗА
ПСИХОЛОГИЧЕСКИЕ ОСОБЕННОСТИ ВЗАИМОСВЯЗИ ПОНЯТИЙ ИДЕНТИЧНОСТИ И ПРОФЕССИОНАЛЬНОЙ ИДЕНТИЧНОСТИ ЛИЧНОСТИ
ПСИХОЛОГИЧЕСКИЕ ОСОБЕННОСТИ ВИРТУАЛЬНОЙ ЛИЧНОСТИ ПОЛЬЗОВАТЕЛЯ И ЕЕ ТИПЫ
ПСИХОЛОГИЧЕСКИЕ ОСОБЕННОСТИ КАРЬЕРЫ ЛИЧНОСТИ
ПСИХОЛОГИЧЕСКИЕ ОСОБЕННОСТИ ЛИЧНОСТИ ТРЕНЕРА
ПСИХОЛОГИЧЕСКИЕ ОСОБЕННОСТИ ЛИЧНОСТИ УЧИТЕЛЯ
ПСИХОЛОГИЧЕСКИЕ ОСОБЕННОСТИ ЛИЧНОСТИ ШКОЛЬНИКОВ С СОЦИАЛЬНО ДЕЗАДАПТИРОВАННЫМ ПОВЕДЕНИЕМ
ПСИХОЛОГИЧЕСКИЕ ОСОБЕННОСТИ ЛИЧНОСТИ ОПРЕДЕЛЯЮЩИЕ СКЛОННОСТЬ К ПРЕДПРИНИМАТЕЛЬСКОЙ ДЕЯТЕЛЬНОСТИ (НА ПРИМЕРЕ СТУДЕНТОВ ВУЗОВ)
ПСИХОЛОГИЧЕСКИЕ ОСОБЕННОСТИ ОТВЕТСТВЕННОСТИ И РЕФЛЕКСИВНОСТИ ЛИЧНОСТИ СТУДЕНТОВ ЮНОШЕСКОГО ВОЗРАСТА
ПСИХОЛОГИЧЕСКИЕ ОСОБЕННОСТИ РАЗВИТИЯ ЛИЧНОСТИ ПОДРОСТКОВОГО ВОЗРАСТА
ПСИХОЛОГИЧЕСКИЕ ОСОБЕННОСТИ САМООПРЕДЕЛЕНИЯ ЛИЧНОСТИ В ПОСТИНДУСТРИАЛЬНОМ ОБЩЕСТВЕ
ПСИХОЛОГИЧЕСКИЕ ОСОБЕННОСТИ САМОРАЗВИТИЯ ЛИЧНОСТИ СТУДЕНТОВ ГУМАНИТАРНЫХ НАПРАВЛЕНИЙ
ПСИХОЛОГИЧЕСКИЕ ОСОБЕННОСТИ ЦЕННОСТНОГО ОТНОШЕНИЯ К ЗДОРОВЬЮ ЛИЧНОСТИ С РАЗНЫМ УРОВНЕМ САМОАКТУАЛИЗАЦИИ
ПСИХОЛОГИЧЕСКИЕ ПРОБЛЕМЫ РАЗВИТИЯ ЛИЧНОСТИ В ПРОФИЛЬНЫХ ПЕДАГОГИЧЕСКИХ КЛАССАХ
ПСИХОЛОГИЧЕСКИЕ РЕСУРСЫ САМОРАЗВИТИЯ ЛИЧНОСТИ В ЗРЕЛОМ ВОЗРАСТЕ
ПСИХОЛОГИЧЕСКИЕ СОСТАВЛЯЮЩИЕ ИМИДЖА ЛИЧНОСТИ ПРЕПОДАВАТЕЛЯ ВЫСШЕЙ ШКОЛЫ
ПСИХОЛОГИЧЕСКИЕ ФАКТОРЫ СУБЪЕКТИВНОГО БЛАГОПОЛУЧИЯ ЛИЧНОСТИ
ПСИХОЛОГИЧЕСКИЙ АНАЛИЗ ЛИЧНОСТИ СПОРТСМЕНА
ПСИХОЛОГИЧЕСКИЙ КОНТЕКСТ ВЗАИМОСВЯЗИ ФИЗИЧЕСКОГО И ЭСТЕТИЧЕСКОГО ВОСПИТАНИЯ ЛИЧНОСТИ ШКОЛЬНИКА
ПСИХОЛОГИЧЕСКИЙ МЕХАНИЗМ САМОРАСКРЫТИЯ СПОСОБНОСТЕЙ ЛИЧНОСТИ В ОБЩЕМ ОБРАЗОВАНИИ
ПСИХОЛОГИЧЕСКИЙ РЕСУРС ЛИЧНОСТИ КАК НЕОТЪЕМЛЕМАЯ ЭКОЛОГО-ПСИХОЛОГИЧЕСКАЯ ХАРАКТЕРИСТИКА (ВЗАИМОСВЯЗЬ ЛИЧНОСТНОГО РАЗВИТИЯ И КАЧЕСТВА ЖИЗНИ ЧЕЛОВЕКА)
ПСИХОЛОГИЧЕСКОЕ ЗДОРОВЬЕ И ЖИЗНЕННЫЕ ПЕРСПЕКТИВЫ ЛИЧНОСТИ
ПСИХОЛОГИЧЕСКОЕ ИССЛЕДОВАНИЕ ЭМОЦИОНАЛЬНОСТИ ЛИЧНОСТИ
ПСИХОЛОГИЧЕСКОЕ РАЗВИТИЕ ЛИЧНОСТИ В УСЛОВИЯХ НЕНОРМАТИВНОГО КРИЗИСА ЗАНЯТОСТИ
ПСИХОЛОГИЯ ЛИЧНОСТИ В ИСЛАМЕ ПО ДИСЦИПЛИНЕ ИСЛАМСКАЯ ЭТИКА (АХЛЯК)
ПСИХОЛОГИЯ ЛИЧНОСТИ ПЕРВОКУРСНИК ПРОБЛЕМЫ АДАПТАЦИИ В УНИВЕРСИТЕТЕ
ПСИХОЛОГИЯ ПРОФЕССИОНАЛЬНО-КАРЬЕРНОГО РАЗВИТИЯ ЛИЧНОСТИ
ПСИХОЛОГО-ОБРАЗОВАТЕЛЬНОЕ СОПРОВОЖДЕНИЕ СТУДЕНТА ВУЗА КАК ОСНОВА РАЗВИТИЯ ИННОВАЦИОННОГО ПОТЕНЦИАЛА ЛИЧНОСТИ БУДУЩЕГО ВЫПУСКНИКА
ПСИХОЛОГО-ПЕДАГОГИЧЕСКАЯ ПОДДЕРЖКА ЛИЧНОСТИ В ВЫБОРЕ ПРОФЕССИИ
ПСИХОЛОГО-ПЕДАГОГИЧЕСКИЕ АСПЕКТЫ ФОРМИРОВАНИЯ ЛИЧНОСТИ КАК ОРГАНИЗАТОРА В ШКОЛЕ
ПСИХОЛОГО-ПЕДАГОГИЧЕСКИЕ ОСНОВЫ РАЗВИТИЯ И ПРОФЕССИОНАЛЬНОГО СТАНОВЛЕНИЯ ЛИЧНОСТИ
ПСИХОЛОГО-ПЕДАГОГИЧЕСКИЕ ФАКТОРЫ РЕШЕНИЯ ПРОБЛЕМЫ САМООБРАЗОВАНИЯ ЛИЧНОСТИ
ПСИХОЛОГО-ПЕДАГОГИЧЕСКОЕ СОПРОВОЖДЕНИЕ РАЗВИТИЯ ЛИЧНОСТИ ДЕВИАНТНОГО ПОДРОСТКА
ПУТИ ВЛИЯНИЯ СПОРТИВНОГО ПЕДАГОГА НА ПРОЦЕСС САМООРГАНИЗАЦИИ И САМОРАЗВИТИЯ ЛИЧНОСТИ СТУДЕНТА В ВУЗЕ
РАЗВИТИЕ ГУМАНИТАРНОЙ ПОЗИЦИИ ЛИЧНОСТИ КАК УСЛОВИЕ ФОРМИРОВАНИЯ ЕЕ ПСИХОЛОГИЧЕСКОГО ЗДОРОВЬЯ
РАЗВИТИЕ ДУХОВНО-НРАВСТВЕННЫХ КАЧЕСТВ ПОЛИКУЛЬТУРНОЙ ЛИЧНОСТИ В СОВРЕМЕННЫХ УСЛОВИЯХ
РАЗВИТИЕ ЖИЗНЕСПОСОБНОСТИ ЛИЧНОСТИ В ОТРОЧЕСТВЕ
РАЗВИТИЕ И СТАНОВЛЕНИЕ ЛИЧНОСТИ В УСЛОВИЯХ ДЕТСКИХ ДОМОВ
РАЗВИТИЕ ИНТЕЛЛЕКТУАЛЬНОГО ПОТЕНЦИАЛА ЛИЧНОСТИ В ХХI ВЕКЕ
РАЗВИТИЕ КОММУНИКАТИВНОГО ПОТЕНЦИАЛА ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТА СРЕДСТВАМИ ФРАНЦУЗСКОГО ЯЗЫКА
РАЗВИТИЕ КРЕАТИВНО-ДЕЯТЕЛЬНОСТНОГО КОМПОНЕНТА В ПРОЦЕССЕ ФОРМИРОВАНИЯ КОНКУРЕНТОСПОСОБНОЙ ЛИЧНОСТИ ЖУРНАЛИСТА В ВУЗЕ
РАЗВИТИЕ КУЛЬТУРНОЙ ИДЕНТИЧНОСТИ ЛИЧНОСТИ В ПРОЦЕССЕ ИЗУЧЕНИЯ ИНОСТРАННОГО ЯЗЫКА В ПОЛИКУЛЬТУРНОМ ОБРАЗОВАТЕЛЬНОМ ПРОСТРАНСТВЕ ВУЗА
РАЗВИТИЕ КУЛЬТУРОЛОГИЧЕСКОЙ ПОЗИЦИИ ЛИЧНОСТИ В УСЛОВИЯХ ПОЛИКУЛЬТУРНОГО ОБРАЗОВАНИЯ
РАЗВИТИЕ ЛИДЕРСКОГО ПОТЕНЦИАЛА ЛИЧНОСТИ КУРСАНТОВ В ПРОЦЕССЕ ИЗУЧЕНИЯ АВИАЦИОННОГО АНГЛИЙСКОГО ЯЗЫКА
РАЗВИТИЕ ЛИЧНОСТИ В ВУЗЕ
РАЗВИТИЕ ЛИЧНОСТИ ВЗРОСЛЫХ ОБУЧАЮЩИХСЯ СРЕДСТВАМИ ИНОСТРАННОГО ЯЗЫКА: ЦЕЛИ И ПУТИ РЕАЛИЗАЦИИ
РАЗВИТИЕ ЛИЧНОСТИ И ИНДИВИДУАЛЬНОСТИ СТУДЕНТА-ПЕРВОКУРСНИКА В СОЦИОКУЛЬТУРНОМ ПРОСТРАНСТВЕ ПЕДАГОГИЧЕСКОГО ВУЗА
РАЗВИТИЕ ЛИЧНОСТИ ИНОФОНОВ СРЕДСТВАМИ МУЗЫКАЛЬНОГО ИСКУССТВА
РАЗВИТИЕ ЛИЧНОСТИ КАК СТРАТЕГИЧЕСКАЯ ЛИНИЯ СОВРЕМЕННОЙ СИСТЕМЫ ПРОФЕССИОНАЛЬНОГО ОБРАЗОВАНИЯ
РАЗВИТИЕ ЛИЧНОСТИ КАК СУБЪЕКТА ДЕЯТЕЛЬНОСТИ
РАЗВИТИЕ ЛИЧНОСТИ НЕСОВЕРШЕННОЛЕТНИХ В СОВРЕМЕННОЙ РОССИИ
РАЗВИТИЕ ЛИЧНОСТИ ОБУЧАЮЩЕГОСЯ-ОДНА ИЗ ОСНОВНЫХ ЗАДАЧ ВУЗА
РАЗВИТИЕ ЛИЧНОСТИ ОБУЧАЮЩИХСЯ В ПРОЦЕССЕ ПРИМЕНЕНИЯ ИНФОРМАЦИОННЫХ ТЕХНОЛОГИЙ
РАЗВИТИЕ ЛИЧНОСТИ СПЕЦИАЛИСТА В ПРОЦЕССЕ НЕПРЕРЫВНОГО ОБРАЗОВАНИЯ
РАЗВИТИЕ ЛИЧНОСТИ УЧАЩЕГОСЯНОВЫЕ ПОДХОДЫ И РЕШЕНИЯ
РАЗВИТИЕ НАПРАВЛЕННОСТИ ЛИЧНОСТИ В ПРОЦЕССЕ ОБРАЗОВАТЕЛЬНОЙ ПОДГОТОВКИ ПЕДАГОГА-ПСИХОЛОГА В ВУЗЕ
РАЗВИТИЕ НРАВСТВЕННЫХ ЧУВСТВ ЛИЧНОСТИ ШКОЛЬНИКА В ПЕДАГОГИЧЕСКОЙ СИСТЕМЕ СУХОМЛИНСКОГО
РАЗВИТИЕ ПОЛИКУЛЬТУРНОЙ МНОГОЯЗЫЧНОЙ ЛИЧНОСТИ КАК ЦЕЛЬ ОБУЧЕНИИ ИНОСТРАННОМУ ЯЗЫКУ
РАЗВИТИЕ ПРОФЕССИОНАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТОВ В ПРОЦЕССЕ ВУЗОВСКОГО ОБУЧЕНИЯ (ПО ИТОГАМ ПРОВЕДЕНИЯ МЕЖДУНАРОДНОЙ НАУЧНО-МЕТОДИЧЕСКОЙ КОНФЕРЕНЦИИ)
РАЗВИТИЕ СОЦИОКУЛЬТУРНОГО ПОТЕНЦИАЛА ЛИЧНОСТИ В КУЛЬТУРОТВОРЧЕСКОЙ СРЕДЕ
РАЗВИТИЕ СПОСОБНОСТИ К ТВОРЧЕСКОЙ ДЕЯТЕЛЬНОСТИ ЛИЧНОСТИ В ПРОЦЕССЕ ДУХОВНО-НРАВСТВЕННОГО ВОСПИТАНИЯ
РАЗВИТИЕ ТВОРЧЕСКОГО ПОТЕНЦИАЛА КАК ФАКТОРА ФОРМИРОВАНИЯ СОЦИАЛЬНО-ТВОРЧЕСКОЙ ЛИЧНОСТИ БУДУЩЕГО СПЕЦИАЛИСТА СОЦИАЛЬНОЙ РАБОТЫ
РАЗВИТИЕ ТВОРЧЕСКОГО ПОТЕНЦИАЛА ЛИЧНОСТИ НА УРОКАХ ИЗОБРАЗИТЕЛЬНОГО ИСКУССТВА
РАЗВИТИЕ ТВОРЧЕСКОГО ПОТЕНЦИАЛА ЛИЧНОСТИ ПЕДАГОГА РАБОТАЮЩЕГО С ОДАРЕННЫМИ ДЕТЬМИ И МОЛОДЕЖЬЮ
РАЗВИТИЕ ТВОРЧЕСКОЙ ЛИЧНОСТИ СРЕДСТВАМИ ДЕКОРАТИВНО-ПРИКЛАДНОГО ИСКУССТВА
РАЗВИТИЕ ЭМОЦИОНАЛЬНОГО ИНТЕЛЛЕКТА ПСИХОЛОГИЧЕСКОЙ ГРАНИЦЫ ЛИЧНОСТИ И САМООТНОШЕНИЯ У БУДУЩИХ СПЕЦИАЛИСТОВ-ПСИХОЛОГОВ (НА ПРИМЕРЕ СТУДЕНТОВ ФАКУЛЬТЕТА ЮРИДИЧЕСКОЙ ПСИХОЛОГИИ МГППУ)
РАЗВИТИЕ ЭСТЕТИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ КАК ИСТОРИЧЕСКИ СЛОЖИВШАЯСЯ ПЕДАГОГИЧЕСКАЯ ПРОБЛЕМА
РАЗВИТИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ В АСПЕКТЕ ФОРМИРОВАНИЯ КУЛЬТУРЫ ОБЩЕНИЯ
РАЗВИТИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ МЛАДШЕГО ШКОЛЬНИКАКОММУНИКАТИВНЫЙ АСПЕКТ
РАЗВИТИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТОВ ВУЗАПРИ ИЗУЧЕНИИ ИНОСТРАННОГО ЯЗЫКАВ УСЛОВИЯХ ПОЛИКУЛЬТУРНОЙ ЯЗЫКОВОЙ СРЕДЫ
РАЗРАБОТКА ИНСТРУМЕНТАРИЯ ДЛЯ ИЗУЧЕНИЯ СОЦИАЛЬНО-ПСИХОЛОГИЧЕСКОЙ ИНТЕРПРЕТАЦИИ ЛИЧНОСТИ ПРЕПОДАВАТЕЛЯ СТУДЕНТАМИ НА ОСНОВЕ МОДЕЛИРОВАНИЯ ЭТАЛОНА ЕГО РОЛЕВОГО ОБРАЗА
РАЗРАБОТКА ИНТЕРАКТИВНОЙ ИГРЫ ВЫДАЮЩИЕСЯ ЛИЧНОСТИ С ИСПОЛЬЗОВАНИЕМ СЕРВИСА KAHOOT . COM В РАМКАХ ИНТЕЛЛЕКТУАЛЬНОГО МАРАФОНА-В МБОУ ЛИЦЕЙПРОТВИНО
РЕАКТИВНЫЕ ОБРАЗОВАНИЯ И ОТРИЦАНИЕ РЕАЛЬНОСТИ В АСПЕКТЕ АССЕРТИВНОСТИ И ТРЕВОЖНОСТИ ЛИЧНОСТИ
РЕАЛИЗАЦИЯ ПРОЕКТА ДЕЯТЕЛЬНОСТИ ПЕДАГОГА-КУРАТОРА НАПРАВЛЕННОГО НА ФОРМИРОВАНИЕ НРАВСТВЕННО-ПАТРИОТИЧЕСКОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ КУРСАНТОВ ОБРАЗОВАТЕЛЬНЫХ ОРГАНИЗАЦИЙ МВД РОССИИ
РЕЗУЛЬТАТЫ ЭМПИРИЧЕСКОГО ИССЛЕДОВАНИЯ СОЦИАЛИЗАЦИИ ЛИЧНОСТИ РЕБЕНКА В СИСТЕМЕ ДОПОЛНИТЕЛЬНОГО ОБРАЗОВАНИЯ
РЕСУРСНОЕ ОБЕСПЕЧЕНИЕ ГАРМОНИЗАЦИИ Я-КОНЦЕПЦИИ ЛИЧНОСТИ СТУДЕНТОВ
РЕФЛЕКСИВНОСТЬ КАК СВОЙСТВО ЛИЧНОСТИ В ЮНОШЕСКОМ ВОЗРАСТЕ
РЕФЛЕКСИВНЫЕ ПРИНЦИПЫ РАЗВИТИЯ ЛИЧНОСТИ В УСЛОВИЯХ ИЗМЕНЯЮЩЕГОСЯ ИНФОРМАЦИОННОГО СОДЕРЖАНИЯ
РЕЦЕНЗИЯ НА СБОРНИК МАТЕРИАЛО МЕЖДУНА НАУ КОН ПЕДАГОГИКА ТВОРЧЕСТВА: ЛИЧНОСТЬ ЗНАНИЕ КУЛЬТУРА
РЕЧЕВАЯ КОМПЕТЕНТНОСТЬ КАК ОСНОВА ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ
РЕЧЕВАЯ КУЛЬТУРА В СОХРАНЕНИИ НАЦИОНАЛЬНОЙ ИДЕНТИЧНОСТИ ЛИЧНОСТИ
РЕЧЕВОЕ РАЗВИТИЕ ЛИЧНОСТИ НА РУБЕЖЕ XX-XXI ВВ
РЕШЕНИЕ ЗАДАЧ РАЗВИТИЯ ЛИЧНОСТИ УЧАЩИХСЯ В СОВРЕМЕННОЙ ШКОЛЕ
РИТОРИЧЕСКАЯ ЛИЧНОСТЬ КАК СРЕДСТВО ОТ ЦИФРОВИЗАЦИИ
РОБОТОТЕХНИКА ВО ВНЕУРОЧНОЙ ДЕЯТЕЛЬНОСТИ КАК СРЕДСТВО РАЗВИТИЯ ТВОРЧЕСКОГО ПОТЕНЦИАЛА ЛИЧНОСТИ ОБУЧАЮЩИХСЯ
РОДИТЕЛЬСКАЯ ТОЛЕРАНТНОСТЬ КАК ФАКТОР РАЗВИТИЯ ЛИЧНОСТИ РЕБЕНКА
РОЛЬ ВНЕУРОЧНОЙ ДЕЯТЕЛЬНОСТИ В ФОРМИРОВАНИИ ЛИЧНОСТИ РЕБЕНКА И ПОДРОСТКА
РОЛЬ ВОЗРАСТНОГО РАЗВИТИЯ ЛИЧНОСТИ В АДМИНИСТРАТИВНОЙ ДЕЛИКТНОСТИ НЕСОВЕРШЕННОЛЕТНИХ: ТЕОРИЯ И ПРАКТИКА
РОЛЬ ДЕТСКОГО ТЕХНИЧЕСКОГО ТВОРЧЕСТВА В РАЗВИТИИ ТВОРЧЕСКОЙ ЛИЧНОСТИ
РОЛЬ ДОМИНИРУЮЩЕЙ МОТИВАЦИИ В СТАНОВЛЕНИИ ПРОФЕССИОНАЛЬНОЙ СТРУКТУРЫ ЛИЧНОСТИ ПЕДАГОГА
РОЛЬ ДОПОЛНИТЕЛЬНОГО ПРОФЕССИОНАЛЬНОГО ОБРАЗОВАНИЯ В НЕПРЕРЫВНОМ ОБРАЗОВАНИИ ЛИЧНОСТИ
РОЛЬ ДОПОЛНИТЕЛЬНОЙ ОБЩЕОБРАЗОВАТЕЛЬНОЙ ПРОГРАММЫ СОЦИАЛЬНО-ПЕДАГОГИЧЕСКОЙ НАПРАВЛЕННОСТИ ЖИЗНЬ В ОБЩЕНИИ В РАЗВИТИИ ЛИЧНОСТИ РЕБЕНКА
РОЛЬ И ЗНАЧЕНИЕ КОММУНИКАТИВНОЙ КОМПЕТЕНТНОСТИ В ПОВЕДЕНИИ ЛИЧНОСТИ
РОЛЬ ИЗОБРАЗИТЕЛЬНОГО ИСКУССТВА В ФОРМИРОВАНИИ ЛИЧНОСТИ ШКОЛЬНИКА
РОЛЬ ИНФОРМАЦИОННО-ОБРАЗОВАТЕЛЬНОГО ИНТЕРНЕТ-ПРОСТРАНСТВА В НЕПРЕРЫВНОМ ОБРАЗОВАНИИ ЛИЧНОСТИ
РОЛЬ КЛАССИЧЕСКОЙ МУЗЫКИ В ДУХОВНО-НРАВСТВЕННОМ СТАНОВЛЕНИИ ЛИЧНОСТИ МЛАДШИХ ШКОЛЬНИКОВ
РОЛЬ КУЛЬТУРНЫХ ПРАКТИК В ПРОЦЕССЕ ФОРМИРОВАНИЯ ДУХОВНО-НРАВСТВЕННОЙ КУЛЬТУРЫ ЛИЧНОСТИ
РОЛЬ КУЛЬТУРЫ ОБЩЕНИЯ В РАЗВИТИИ ЛИЧНОСТИ
РОЛЬ КУРАТОРА В СТАНОВЛЕНИИ ЛИЧНОСТИ СТУДЕНТА
РОЛЬ ЛИЧНОСТИ В НАУКЕ И ИСКУССТВЕ
РОЛЬ ЛИЧНОСТИ ПРЕПОДАВАТЕЛЯ ФИЛОСОФИИ В РАЗВИТИИ ПРОФЕССИОНАЛЬНОГО МЫШЛЕНИЯ ВРАЧА
РОЛЬ МОТИВАЦИИ В ФОРМИРОВАНИИ ПОЛИЯЗЫКОВОЙ ЛИЧНОСТИ ШКОЛЬНИКА
РОЛЬ МОТИВАЦИИ ПРИ ФОРМИРОВАНИИ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТОВ ВЫСШИХ УЧЕБНЫХ ЗАВЕДЕНИЙ
РОЛЬ МУЗЫКАЛЬНО-ТЕАТРАЛЬНОЙ ДЕЯТЕЛЬНОСТИ В РАЗВИТИИ ЛИЧНОСТИ МЛАДШЕГО ШКОЛЬНИКА
РОЛЬ НАСЛЕДИЯБИЧУРИНА ИЯКОВЛЕВА В ФОРМИРОВАНИИ УВОЛКОВА ЭТНОПЕДАГОГИЧЕСКИХ ПАНСОФИЙСКИХ ВЗГЛЯДОВ НА СТАНОВЛЕНИЕ ЛИЧНОСТИ ЭТНОСА
РОЛЬ ОБРАЗНОГО МЫШЛЕНИЯ В ФОРМИРОВАНИИ ТВОРЧЕСКИХ СПОСОБНОСТЕЙ ЛИЧНОСТИ
РОЛЬ ОБЩЕОБРАЗОВАТЕЛЬНОЙ ШКОЛЫ В ЖИЗНЕННОЙ И ПРОФЕССИОНАЛЬНОЙ САМОРЕАЛИЗАЦИИ ЛИЧНОСТИ
РОЛЬ ОРГАНИЗАЦИОННОЙ ПСИХОЛОГИИ ОБРАЗОВАНИЯ В РАЗВИТИИ КОНКУРЕНТОСПОСОБНОЙ ЛИЧНОСТИ
РОЛЬ ПЕДАГОГА В ФОРМИРОВАНИИ КОНКУРЕНТОСПОСОБНОЙ ЛИЧНОСТИ СТУДЕНТА
РОЛЬ ПОЗНАВАТЕЛЬНЫХ УНИВЕРСАЛЬНЫХ УЧЕБНЫХ ДЕЙСТВИЙ В ФОРМИРОВАНИИ НРАВСТВЕННО-ИНТЕЛЛЕКТУАЛЬНОЙ СФЕРЫ ЛИЧНОСТИ МЛАДШЕГО ШКОЛЬНИКА
РОЛЬ ПОРТФОЛИО В ПРОЦЕССЕ ФОРМИРОВАНИЯ И САМОРАЗВИТИЯ ТВОРЧЕСКОЙ ЛИЧНОСТИ ПРИ ИЗУЧЕНИИ ИНОСТРАННОГО ЯЗЫКА
РОЛЬ ПОСЛОВИЦ И ПОГОВОРОК В ФОРМИРОВАНИИ ЛИЧНОСТИ СТУДЕНТА-БУДУЩЕГО УЧИТЕЛЯ
РОЛЬ ПРЕПОДАВАТЕЛЯ В ВОСПИТАНИИ ЛИЧНОСТИ В ПРОЦЕССЕ ОБУЧЕНИЯ
РОЛЬ ПРЕПОДАВАТЕЛЯ ФИЗИЧЕСКОЙ ПОДГОТОВКИ В ПРОЦЕССЕ СОЦИАЛИЗАЦИИ ЛИЧНОСТИ КУРСАНТОВ ПЕРВЫХ КУРСОВ ОБРАЗОВАТЕЛЬНЫХ ОРГАНИЗАЦИЙ МВД РОССИИ
РОЛЬ ПРИРОДЫ В ФОРМИРОВАНИИ ЛИЧНОСТИ ДОШКОЛЬНИКА
РОЛЬ ПРОЕКТНОЙ ДЕЯТЕЛЬНОСТИ УЧАЩИХСЯ В ФОРМИРОВАНИИ ЛИЧНОСТИ
РОЛЬ ПРОФЕССИОНАЛЬНОЙ ТВОРЧЕСКОЙ ДЕЯТЕЛЬНОСТИ ПЕДАГОГА В ДУХОВНО-НРАВСТВЕННОМ ВОСПИТАНИИ ЛИЧНОСТИ ОБУЧАЮЩИХСЯ
РОЛЬ ПРОЦЕССА СОТВОРЧЕСТВА В РАЗВИТИИ ЛИЧНОСТИ УЧАЩЕГОСЯ
РОЛЬ РЕЧЕВОЙ КУЛЬТУРЫ В РАЗВИТИИ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТА
РОЛЬ САМОАНАЛИЗА В СТАНОВЛЕНИИ ЛИЧНОСТИ ОБУЧАЮЩЕГОСЯ
РОЛЬ САМОДЕТЕРМИНАЦИИ ЛИЧНОСТИ В ОНЛАЙН-ОБРАЗОВАНИИ
РОЛЬ САМООЦЕНКИ ЛИЧНОСТИ В ПОВЫШЕНИИ ЭФФЕКТИВНОСТИ УЧЕБНОЙ ДЕЯТЕЛЬНОСТИ СТУДЕНТОВ
РОЛЬ САМОРАЗВИТИЯ В ПРОЦЕССАХ СТАНОВЛЕНИЯ ЛИЧНОСТИ
РОЛЬ СЕМЬИ В ФИЗИЧЕСКОМ РАЗВИТИИ ЛИЧНОСТИ
РОЛЬ СЕМЬИ В ФОРМИРОВАНИИ ДУХОВНО-НРАВСТВЕННОЙ ЛИЧНОСТИ
РОЛЬ СЕМЬИ В ФОРМИРОВАНИИ ФИЗИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ
РОЛЬ СИСТЕМЫ ДОПОЛНИТЕЛЬНОГО ОБРАЗОВАНИЯ В ФОРМИРОВАНИИ ЛИЧНОСТИ ДЕТЕЙ И ПОДРОСТКОВ
РОЛЬ СМИ В ФОРМИРОВАНИИ ЛИЧНОСТИ БУДУЩЕГО УПРАВЛЕНЦАСОЦИОКУЛЬТУРНЫЙ И ЛИНГВИСТИЧЕСКИЙ АСПЕКТЫ
РОЛЬ СОВРЕМЕННЫХ ИНФОРМАЦИОННЫХ ТЕХНОЛОГИЙ И ЭЛЕКТРОННЫХ СРЕДСТВ В ОБУЧЕНИИ ОБРАЗОВАНИИ И РАЗВИТИИ ЛИЧНОСТИ
РОЛЬ СПОРТА В ФОРМИРОВАНИИ ЛИЧНОСТИ СТУДЕНТА
РОЛЬ СПОРТА В ФОРМИРОВАНИИ ЛИЧНОСТИ СТУДЕНТА
РОЛЬ ТЕАТРАЛИЗОВАННОЙ ДЕЯТЕЛЬНОСТИ В ВОСПИТАНИИ ДУХОВНО-НРАВСТВЕННОЙ КУЛЬТУРЫ ЛИЧНОСТИ
РОЛЬ ТРУДОВОГО ВОСПИТАНИЯ В РАЗВИТИИ ЛИЧНОСТИ (ПЕДАГОГИЧЕСКИЙ ОПЫТУШИНСКОГО)
РОЛЬ УЧЕНИЧЕСКОГО САМОУПРАВЛЕНИЯ В СТАНОВЛЕНИИ ЛИЧНОСТИ И СОЦИАЛИЗАЦИИ ОБУЧАЮЩИХСЯ
РОЛЬ ФИЗИЧЕСКОЙ КУЛЬТУРЫ В ФОРМИРОВАНИИ ЛИЧНОСТИ
РОЛЬ ФИЗИЧЕСКОЙ КУЛЬТУРЫ И СПОРТА В ДУХОВНОМ ВОСПИТАНИИ ЛИЧНОСТИ
РОЛЬ ФИЗИЧЕСКОЙ КУЛЬТУРЫ И СПОРТА В РАЗВИТИИ ПОТЕНЦИАЛА ЛИЧНОСТИ СТУДЕНТА
РОЛЬ ЯЗЫКОВОЙ ЛИЧНОСТИ ПЕРЕВОДЧИКА ПРИ ПЕРЕВОДЕ
РОССИЙСКАЯ СИСТЕМА ВЫСШЕГО ОБРАЗОВАНИЯ И НОВАЯ ТЕОРЕТИЧЕСКАЯ ПЛАТФОРМА РАЗВИТИЯ ЛИЧНОСТИ
РУКОВОДИТЕЛЬ ХОРЕОГРАФИЧЕСКОГО КОЛЛЕКТИВА КАК ФАКТОР ФОРМИРОВАНИЯ КУЛЬТУРНОЙ ЛИЧНОСТИ
РУССКАЯ ЛИТЕРАТУРА И ПРОБЛЕМА ФОРМИРОВАНИЯ КУЛЬТУРНОЙ ИДЕНТИЧНОСТИ ЛИЧНОСТИ
РУССКИЙ ЯЗЫК КАК СРЕДСТВО ВОСПИТАНИЯ ДУХОВНО-НРАВСТВЕННОЙ ЛИЧНОСТИ СТУДЕНТА
САМОАКТУАЛИЗАЦИЯ ЛИЧНОСТИ РУКОВОДИТЕЛЕЙ ТЕРРИТОРИАЛЬНЫХ ОРГАНОВ МВД РОССИИ НА РАЙОННОМ УРОВНЕ В ХОДЕ РАЗВИВАЮЩЕГО КОНСУЛЬТИРОВАНИЯ
САМОВОСПИТАНИЕ КУРСАНТОВ ОБРАЗОВАТЕЛЬНЫХ ОРГАНИЗАЦИЙ МВД РОССИИ И ЕГО МЕСТО В СИСТЕМЕ ФОРМИРОВАНИЯ ЛИЧНОСТИ СОТРУДНИКА ПРАВООХРАНИТЕЛЬНЫХ ОРГАНОВ
САМООБРАЗОВАНИЕ КАК НЕОБХОДИМЫЙ ЭЛЕМЕНТ ДЛЯ НЕПРЕРЫВНОГО ОБРАЗОВАНИЯ И УСПЕШНОЙ ПРОФЕССИОНАЛЬНОЙ САМОРЕАЛИЗАЦИИ ЛИЧНОСТИ
САМООПРЕДЕЛЕНИЕ ЛИЧНОСТИ И НАЦИОНАЛЬНАЯ ИДЕНТИЧНОСТЬ В ПОДРОСТКОВОМ ОБЩЕСТВЕ: ВЗАИМОСВЯЗЬ ЛИЧНОГО И ОБЩЕСТВЕННОГО
САМООЦЕНКА В СТРУКТУРЕ ПСИХОЛОГИЧЕСКИХ КАЧЕСТВ ЛИЧНОСТИ ВОЕННОСЛУЖАЩИХ И КУРСАНТОВ ВОЕННОЙ ОБРАЗОВАТЕЛЬНОЙ ОРГАНИЗАЦИИ ВЫСШЕГО ОБРАЗОВАНИЯ ВОЙСК НАЦИОНАЛЬНОЙ ГВАРДИИ
САМООЦЕНКА ЛИЧНОСТИ
САМООЦЕНКА ЛИЧНОСТЬЮ СВОИХ ВОЗМОЖНОСТЕЙ
САМОПОЗНАНИЕ И САМОРАЗВИТИЕ ЛИЧНОСТИ В ИХ ВЗАИМОСВЯЗИ
САМОПОЗНАНИЕ И САМОРАЗВИТИЕ ЛИЧНОСТИ В ЦИФРОВОМ ОБЩЕСТВЕ (ВМЕСТО ПРЕДИСЛОВИЯ)
САМОПРЕЗЕНТАЦИЯ КАК ПСИХОЛОГИЧЕСКИЙ МЕХАНИЗМ ФОРМИРОВАНИЯ ИМИДЖА ЛИЧНОСТИ
САМОРАЗВИТИЕ ЛИЧНОСТИ ПОДРОСТКОВ В ПРОЦЕССЕ СОЦИАЛЬНО ПОЛЕЗНОЙ ДЕЯТЕЛЬНОСТИ
САМОРАЗВИТИЕ ЛИЧНОСТИ СТУДЕНТА СРЕДСТВАМИ ВНЕАУДИТОРНОЙ РАБОТЫ (НА ПРИМЕРЕ МЕТОДИКО-МАТЕМАТИЧЕСКИХ ДИСЦИПЛИН)
САМОРЕАЛИЗАЦИЯ ЛИЧНОСТИ В ОБРАЗОВАТЕЛЬНОЙ СРЕДЕ В ПРОЦЕССЕ ФОРМИРОВАНИЯ ГРАЖДАНСКО-ПРАВОВОЙ ПОЗИЦИИ
САМОРЕАЛИЗАЦИЯ ЛИЧНОСТИ В РАМКАХ КОМПЕТЕНТНОСТНОГО ПОДХОДА
САМОРЕАЛИЗАЦИЯ ЧЕЛОВЕКА КАК ЛИЧНОСТИ И ПРОФЕССИОНАЛА В ОБЛАСТИ МАТЕМАТИКИ
САМОСОВЕРШЕНСТВОВАНИЕ ЛИЧНОСТИ В РЕАЛИЗАЦИИ БИОГРАФИЧЕСКИХ ПРОЕКТОВ
САМОСТОЯТЕЛЬНАЯ РАБОТА ОБУЧАЮЩИХСЯ КАК ФАКТОР ПРОФЕССИОНАЛЬНОГО РАЗВИТИЯ ЛИЧНОСТИ
САМОСТОЯТЕЛЬНОСТЬ ЛИЧНОСТИ КАК ФЕНОМЕН И ПОНЯТИЕ В ПСИХОЛОГО-ПЕДАГОГИЧЕСКОЙ ЛИТЕРАТУРЕ
СВЯЗЬ САМОРЕГУЛЯЦИИ С ЖИЗНЕННЫМИ ЦЕННОСТЯМИ ЛИЧНОСТИ У КУРСАНТОВ ВОЕННЫХ ОБРАЗОВАТЕЛЬНЫХ ОРГАНИЗАЦИЙ ВНГ РФ
СВЯЗЬ ТИПООБРАЗУЮЩИХ ХАРАКТЕРИСТИК ЖИЗНЕННОЙ ПЕРСПЕКТИВЫ И АНТИКОРРУПЦИОННОЙ УСТОЙЧИВОСТИ ЛИЧНОСТИ
СВЯЗЬ УСЛОВНО-ФИЗИОЛОГИЧЕСКОГО РИТМА С ИНДИВИДУАЛЬНО-ПСИХОЛОГИЧЕСКИМИ И КОММУНИКАТИВНЫМИ ОСОБЕННОСТЯМИ ЛИЧНОСТИ В УСТОЙЧИВЫХ ОТНОШЕНИЯХ
СЕМЕЙНОЕ ВОСПИТАНИЕ КАК ФАКТОР ФОРМИРОВАНИЯ НРАВСТВЕННОЙ ОСНОВЫ ЛИЧНОСТИ
СИНДРОМ ЭМОЦИОНАЛЬНОГО ВЫГОРАНИЯ КАК ВИД ПРОФЕССИОНАЛЬНОЙ ДЕФОРМАЦИИ ЛИЧНОСТИ
СИНЕРГЕТИЧЕСКИЕ ОСНОВЫ МОДЕЛИРОВАНИЯ КОНЦЕПТОСФЕРЫ ЖЕНСКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ В МЕДИАДИСКУРСЕ
СИНЕРГЕТИЧЕСКИЙ ПРИНЦИП ПЕДАГОГИКИ В ФОРМИРОВАНИИ ЛИЧНОСТИ ВРАЧА
СИСТЕМА РАБОТЫ ДОЛЖНОСТНЫХ ЛИЦ ВУЗОВ МИНИСТЕРСТВА ОБОРОНЫ РОССИЙСКОЙ ФЕДЕРАЦИИ ПО ВЫЯВЛЕНИЮ УЧЕТУ И РАЗВИТИЮ ИНДИВИДУАЛЬНОПСИХОЛОГИЧЕСКИХ СВОЙСТВ ЛИЧНОСТИ КУРСАНТА В ПРОЦЕССЕ ОБУЧЕНИЯ
СИСТЕМА УПРАЖНЕНИЙ ДЛЯ ФОРМИРОВАНИЯ ПОЛИКУЛЬТУРНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ В СОВРЕМЕННОЙ КОМПЕТЕНТНОСТНОЙ ПАРАДИГМЕ ОБУЧЕНИЯ УСТНОЙ ИНОЯЗЫЧНОЙ РЕЧИ (РУССКИЙ ЯЗЫК КАК ИНОСТРАННЫЙ)
СИСТЕМА ХУДОЖЕСТВЕННО-ПРОМЫШЛЕННОГО ОБРАЗОВАНИЯ И ВОСПИТАНИЯ ТВОРЧЕСКОЙ ЛИЧНОСТИ
СИСТЕМНО-ДЕЯТЕЛЬНОСТНЫЙ ПОДХОД КАК МЕТОДОЛОГИЧЕСКАЯ ОСНОВА ПРОГРАММЫ ВОСПИТАНИЯ И СОЦИАЛИЗАЦИИ УСПЕШНОЙ ЛИЧНОСТИ
СИСТЕМНЫЙ ВЗГЛЯД НА КОНЦЕПЦИИ ЛИЧНОСТИ
СИСТЕМНЫЙ ПОДХОД В АНАЛИЗЕ И ДИАГНОСТИКЕ ЭФФЕКТИВНОСТИ УПРАВЛЕНИЯ ПРОФЕССИОНАЛЬНОЙ ОТРАСЛЕВОЙ ИДЕНТИФИКАЦИЕЙ ЛИЧНОСТИ
СИСТЕМОГЕНЕЗ ПРОФЕССИОНАЛЬНО ВАЖНЫХ КАЧЕСТВ ЛИЧНОСТИ СТУДЕНТОВ-ПСИХОЛОГОВ НА ЭТАПЕ ДОПРОФЕССИОНАЛЬНОГО РАЗВИТИЯ
СКЛОННОСТЬ К ПРЕДПРИНИМАТЕЛЬСКОЙ ДЕЯТЕЛЬНОСТИ В СТРУКТУРЕ ПРОФЕССИОНАЛЬНЫХ КАЧЕСТВ ЛИЧНОСТИ
СЛУЖЕНИЕ КАК СОЦИАЛЬНО-ПСИХОЛОГИЧЕСКИЙ ФАКТОР СТАНОВЛЕНИЯ ЛИЧНОСТИ (НА ПРИМЕРЕ КУРСАНТОВ ВОЕННЫХ ВУЗОВ)
СМЫСЛОЖИЗНЕННЫЕ ЗАДАЧИ И СОСТОЯНИЯ В РАЗВИТИИ ЛИЧНОСТИ КАК СУБЪЕКТА ЖИЗНИ
СОБЫТИЙНАЯ СТРУКТУРА СУБЪЕКТИВНОЙ КАРТИНЫ ЖИЗНЕННОГО ПУТИ ЛИЧНОСТИ
СОВЕРШЕНСТВОВАНИЕ МЕЖКУЛЬТУРНОЙ КОМПЕТЕНЦИИ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ В ПРОЦЕССЕ ИНОЯЗЫЧНОГО ОБРАЗОВАНИЯ
СОВРЕМЕННОЕ ВОЛОНТЕРСТВО В ВОСПИТАНИИ ПРОСОЦИАЛЬНОГО ПОВЕДЕНИЯ ЛИЧНОСТИ
СОВРЕМЕННОЕ ДИЗАЙН-ОБРАЗОВАНИЕ В КОНТЕКСТЕ ГЛОБАЛИЗАЦИИ КУЛЬТУРЫ: ЛИЧНОСТЬ ХУДОЖНИКА В ДИАЛОГЕ ТРАДИЦИЙ И ИННОВАЦИЙ
СОВРЕМЕННОЕ ОБУЧЕНИЕ В ФОРМИРОВАНИИ ЛИЧНОСТИ ШКОЛЬНИКА: ПРОБЛЕМЫ И ПЕРСПЕКТИВЫ
СОВРЕМЕННЫЕ ПОДХОДЫ К ИЗУЧЕНИЮ УКРАИНСКОГО ЯЗЫКА ОСНОВА РАЗВИТИЯ ИНТЕЛЛЕКТУАЛЬНО-ТВОРЧЕСКОЙ КОММУНИКАТИВНО-ЯЗЫКОВОЙ ЛИЧНОСТИ
СОВРЕМЕННЫЕ ПОДХОДЫ К ФОРМИРОВАНИЮ ЛИЧНОСТИ В ВУЗЕ
СОВРЕМЕННЫЕ ТЕХНОЛОГИИ ОЦЕНКИ ПОТЕНЦИАЛА ЛИЧНОСТИ В ЭПОХУ ЦИФРОВИЗАЦИИ
СОДЕЙСТВИЕ ПРОФЕССИОНАЛЬНОМУ САМООПРЕДЕЛЕНИЮ ЛИЧНОСТИ В УСЛОВИЯХ ДЕЯТЕЛЬНОСТИ ГОСУДАРСТВЕННО-ОБЩЕСТВЕННЫХ ОРГАНИЗАЦИЙ
СОДЕЙСТВИЕ САМООПРЕДЕЛЕНИЮ ЛИЧНОСТИ СРЕДСТВАМИ ШКОЛЬНОГО ОБРАЗОВАНИЯ В БЫСТРО МЕНЯЮЩЕМСЯ МИРЕ
СОДЕЙСТВИЕ ФОРМИРОВАНИЮ УПРАВЛЕНЧЕСКОЙ КОМПЕТЕНТНОСТИ ЛИЧНОСТИ НА ЭТАПЕ ОБЩЕГО ОБРАЗОВАНИЯ
СОДЕРЖАНИЕ КОМПОНЕНТОВ ЭТНОКУЛЬТУРНЫХ КАЧЕСТВ ЛИЧНОСТИ БУДУЩИХ УЧИТЕЛЕЙ
СОДЕРЖАТЕЛЬНАЯ ХАРАКТЕРИСТИКА ПОНЯТИЯ ЭТНОКУЛЬТУРНАЯ ЛИЧНОСТЬ ПРИМЕНИТЕЛЬНО К ПРОФЕССИОНАЛЬНЫМ КАЧЕСТВАМ УЧИТЕЛЯ
СОДЕРЖАТЕЛЬНЫЙ КОМПОНЕНТ РАЗВИТИЯ МУЗЫКАЛЬНОЙ КУЛЬТУРЫ ЛИЧНОСТИ
СОЗДАНИЕ КУЛЬТУРНОЙ РЕЧЕВОЙ СРЕДЫ В ОБРАЗОВАТЕЛЬНОМ ПРОСТРАНСТВЕ ШКОЛЫ: ПРОБЛЕМЫ МЕТОДИЧЕСКИЙ ИНСТРУМЕНТАРИЙ ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ
СОЗДАНИЕ ПСИХОЛОГО-ПЕДАГОГИЧЕСКОГО КОМФОРТА В ОБРАЗОВАТЕЛЬНОМ УЧРЕЖДЕНИИ КАК УСЛОВИЕ ГАРМОНИЧНОГО РАЗВИТИЯ И ВОСПИТАНИЯ ЛИЧНОСТИ ОБУЧАЮЩЕГОСЯ
СОЗДАНИЕ РОБОТИЗИРОВАННЫХ МЯГКИХ ИГРУШЕК КАК СРЕДСТВО ФОРМИРОВАНИЯ ТВОРЧЕСКОЙ ЛИЧНОСТИ ШКОЛЬНИКА
СООТНОШЕНИЕ ПРОФЕССИОНАЛЬНОГО САМОСОЗНАНИЯ КУРСАНТОВ С САМООТНОШЕНИЕМ ЛИЧНОСТИ
СОЦИАЛИЗАЦИЯ И ФОРМИРОВАНИЕ ИДЕНТИЧНОСТИ ЛИЧНОСТИ СИНХРОНИСТОК ВЫСШЕЙ КВАЛИФИКАЦИИ
СОЦИАЛИЗАЦИЯ КАК ФАКТОР ФОРМИРОВАНИЯ ЛИЧНОСТИ МОЛОДЕЖИ
СОЦИАЛИЗАЦИЯ ЛИЧНОСТИ В ПРОЦЕССЕ СОЦИОКУЛЬТУРНОЙ ДЕЯТЕЛЬНОСТИ
СОЦИАЛИЗАЦИЯ ЛИЧНОСТИ ДОШКОЛЬНИКА В ПРОЦЕССЕ ДВИГАТЕЛЬНОЙ АКТИВНОСТИ В УСЛОВИЯХ ДОУ (ИЗ ОПЫТА РАБОТЫ)
СОЦИАЛИЗАЦИЯ ЛИЧНОСТИ СТАРШЕКЛАССНИКОВ В УСЛОВИЯХ СОВРЕМЕННОЙ ШКОЛЫ
СОЦИАЛИЗАЦИЯ РЕБЕНКА В ПРОЦЕССЕ ВОСПИТАНИЯ ЛИЧНОСТИ В ДОШКОЛЬНОМ УЧРЕЖДЕНИИ
СОЦИАЛЬНАЯ БЕЗОПАСНОСТЬ ЛИЧНОСТИ: ПРОФИЛАКТИКА СОЦИАЛЬНЫХ ОТКЛОНЕНИЙ
СОЦИАЛЬНАЯ ЗРЕЛОСТЬ КАК КАЧЕСТВЕННАЯ ХАРАКТЕРИСТИКА ЛИЧНОСТИ
СОЦИАЛЬНАЯ КОМПЕТЕНТНОСТЬ ЛИЧНОСТИ: ПЕДАГОГИЧЕСКИЙ АСПЕКТ
СОЦИАЛЬНАЯ КОМПЕТЕНТНОСТЬ МНОГОДЕТНЫХ РОДИТЕЛЕЙ КАК ФАКТОР ФОРМИРОВАНИЯ СРЕДЫ ДЛЯ РАЗВИТИЯ ЛИЧНОСТИ ДЕТЕЙ
СОЦИАЛЬНАЯ НАПРАВЛЕННОСТЬ ЛИЧНОСТИ И ЦЕННОСТНЫЕ СТРАТЕГИИ РУКОВОДИТЕЛЕЙ СИСТЕМЫ ГОСУДАРСТВЕННОЙ СЛУЖБЫ
СОЦИАЛЬНАЯ ПЕДАГОГИКА: ПЕДАГОГИКА СТАНОВЛЕНИЯ И РАЗВИТИЯ ЛИЧНОСТИ
СОЦИАЛЬНАЯ СРЕДА ЛИЧНОСТИ КУРСАНТА ОБРАЗОВАТЕЛЬНОЙ ОРГАНИЗАЦИИ МВД РОССИИ: ДЕВИАНТНОЕ ПОВЕДЕНИЕ И РИСКИ
СОЦИАЛЬНО-КУЛЬТУРНЫЕ ФОРМЫ РАЗВИТИЯ УРОВНЕЙ ДОСУГОВЫХ ПОТРЕБНОСТЕЙ ЛИЧНОСТИ В УСЛОВИЯХ ПРАЗДНИЧНОЙ КУЛЬТУРЫ
СОЦИАЛЬНО ЗНАЧИМЫЕ КАЧЕСТВА ЛИЧНОСТИ УЧАСТНИКОВ ОБЪЕДИНЕНИЯ ВОЛОНТЕРЫ ПОБЕДЫ
СОЦИАЛЬНО-КУЛЬТУРНЫЕ ПРАКТИКИ В СИСТЕМЕ СРЕДСТВ РАЗВИТИЯ ЛИЧНОСТИ
СОЦИАЛЬНО-ПЕДАГОГИЧЕСКИЕ ОСНОВАНИЯ РАЗВИТИЯ НРАВСТВЕННОГО СОЗНАНИЯ ЛИЧНОСТИ БЕЗОПАСНОГО ТИПА
СОЦИАЛЬНО-ПЕДАГОГИЧЕСКИЕ УСЛОВИЯ ФОРМИРОВАНИЯ ЛИЧНОСТИ БЕЗОПАСНОГО ТИПА В СТУДЕНЧЕСКОЙ МОЛОДЁЖИ
СОЦИАЛЬНО-ПЕДАГОГИЧЕСКИЕ ФУНКЦИИ КОМПЬЮТЕРНОГО СПОРТА КАК ИНСТРУМЕНТА ИНТЕЛЛЕКТУАЛЬНОГО РАЗВИТИЯ ЛИЧНОСТИ
СОЦИАЛЬНО-ПСИХОЛОГИЧЕСКАЯ ИНТЕРПРЕТАЦИЯ ЛИЧНОСТИ ПРЕПОДАВАТЕЛЯ КАК ФАКТОР ОЦЕНКИ СТУДЕНТАМИ УЧЕБНОЙ ОНЛАЙН-ЛЕКЦИИ
СОЦИАЛЬНО-ПСИХОЛОГИЧЕСКАЯ КОМПЕТЕНТНОСТЬ КАК ФАКТОР ПСИХОЛОГИЧЕСКОЙ УСТОЙЧИВОСТИ ЛИЧНОСТИ В ПЕРИОД ОБУЧЕНИЯ В ВУЗЕ
СОЦИАЛЬНО-ПСИХОЛОГИЧЕСКИЕ СПОСОБНОСТИ ЛИЧНОСТИ
СОЦИАЛЬНО-ПСИХОЛОГИЧЕСКИЙ КЛИМАТ ГРУППЫ КАК УСЛОВИЕ ТВОРЧЕСКОЙ ДЕЯТЕЛЬНОСТИ ЛИЧНОСТИ (ПЕДАГОГИЧЕСКОЕ ИССЛЕДОВАНИЕ)
СОЦИАЛЬНО-ПСИХОЛОГИЧЕСКИЙ ТРЕНИНГ КАК ИНСТРУМЕНТ РАЗВИТИЯ ИННОВАТИВНЫХ КАЧЕСТВ ЛИЧНОСТИ
СОЦИАЛЬНО-ПСИХОЛОГИЧЕСКИЙ ТРЕНИНГ КАК МЕТОД РАЗВИТИЯ ЛИЧНОСТИ В ЮНОШЕСКОМ ВОЗРАСТЕ
СОЦИАЛЬНО-ПСИХОЛОГИЧЕСКОЕ РАЗВИТИЕ И ФОРМИРОВАНИЕ ЛИЧНОСТИ У ПОДРОСТКОВ
СОЦИАЛЬНО-ФИЛОСОФСКИЙ АСПЕКТ ФОРМИРОВАНИЯ ПРОФЕССИОНАЛЬНОГО СОЗНАНИЯ ЛИЧНОСТИ
СОЦИАЛЬНО-ЭМОЦИОНАЛЬНЫЙ ИНТЕЛЛЕКТ В СТРАТЕГИИ ФОРМИРОВАНИЯ ПРОФЕССИОНАЛЬНЫХ КАЧЕСТВ ЛИЧНОСТИ
СОЦИАЛЬНОЕ ЗДОРОВЬЕ ЛИЧНОСТИ РЕБЕНКА КАК РЕЗУЛЬТАТ ВОСПИТАТЕЛЬНОЙ ДЕЯТЕЛЬНОСТИ
СОЦИАЛЬНЫЕ НОРМЫ И ОТКЛОНЕНИЯ КАК КАТЕГОРИИ СОЦИАЛЬНО ЗНАЧИМОГО ПОВЕДЕНИЯ ЛИЧНОСТИ
СОЦИАЛЬНЫЕ СЕТИ КАК СРЕДОВОЙ ФАКТОР ФОРМИРОВАНИЯ ЛИЧНОСТИ УЧАЩЕГОСЯ В КОНТЕКСТЕ ПРОФИЛАКТИКИ СОЦИАЛЬНО ОПАСНЫХ ЯВЛЕНИЙ
СОЦИАЛЬНЫЙ ОПЫТ ЛИЧНОСТИ КАК СОДЕРЖАНИЕ СОЦИАЛЬНОЙ КОМПЕТЕНТНОСТИ БУДУЩЕГО СПЕЦИАЛИСТА
СОЦИАЛЬНЫЙ ОПЫТ ЛИЧНОСТИ: МЕЖДИСЦИПЛИНАРНЫЙ КАТЕГОРИАЛЬНЫЙ АНАЛИЗ
СОЦИОКОММУНИКАТИВНАЯ ХАРАКТЕРИСТИКА ЯЗЫКОВОЙ ЛИЧНОСТИ (НА ПРИМЕРЕ МИКРОБЛОГА ХУДОЖНИКА)
СОЦИОКУЛЬТУРНОЕ РАЗВИТИЕ ЛИЧНОСТИ В ПРОЦЕССЕ ЕЁ ПОДГОТОВКИ К МЕЖКУЛЬТУРНОЙ КОММУНИКАЦИИ
СОЦИОКУЛЬТУРНЫЕ ПОТРЕБНОСТИ ЛИЧНОСТИ В СТАНОВЛЕНИИ БЕЗОПАСНОГО ПРОСОЦИАЛЬНОГО ПОВЕДЕНИЯ
СОЦИОКУЛЬТУРНЫЕ ТЕНДЕНЦИИ АКТУАЛИЗИРУЮЩИЕ ПРОБЛЕМУ ПОВЫШЕНИЯ ЭКОЛОГИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ
СОЦИОКУЛЬТУРНЫЙ ЛАНДШАФТ МОРДОВИИ В ПАРАДИГМЕ ДУХОВНО-НРАВСТВЕННЫХ ЦЕННОСТЕЙ ЛИЧНОСТИ
СОЦИОКУЛЬТУРНЫЙ ПОТЕНЦИАЛ В СТРУКТУРЕ ЛИЧНОСТИ ПОДРОСТКОВ
СОЦИОЛОГИЧЕСКАЯ ДИАГНОСТИКА УРОВНЯ СФОРМИРОВАННОСТИ ПРАВОВЫХ И КОММУНИКАТИВНЫХ ЦЕННОСТЕЙ В СОВРЕМЕННОЙ МОЛОДЕЖНОЙ СРЕДЕ КАК ДЕТЕРМИНАНТЫ КОММУНИКАТИВНО-ПРАВОВОЙ КУЛЬТУРЫ ЛИЧНОСТИ
СОЦИОПАТИЯ И АСОЦИАЛЬНОСТЬ ЛИЧНОСТИ: ВЛИЯНИЕ НА ОБЩЕСТВО В КОНТЕКСТЕ СОВРЕМЕННОГО ВРЕМЕНИ
СПЕЦИФИКА ВЗАИМОСВЯЗИ РЕФЛЕКСИВНОСТИ И САМОАКТУАЛИЗАЦИИ ЛИЧНОСТИ
СПЕЦИФИКА ИННОВАЦИОННОГО ПОТЕНЦИАЛА ЛИЧНОСТИ УЧИТЕЛЯ В ПРОЦЕССЕ ПРОФЕССИОНАЛЬНО-ТВОРЧЕСКОЙ ДЕЯТЕЛЬНОСТИ
СПЕЦИФИКА СОЗДАНИЯ ОБРАЗА ТВОРЧЕСКОЙ ЛИЧНОСТИ В РОМАНЕАКРОЙДА ЧАТТЕРТОН
СПЕЦИФИКА ЭКЗИСТЕНЦИАЛЬНЫХ КАЧЕСТВ ЛИЧНОСТИ КУРСАНТОВ В ОБРАЗОВАТЕЛЬНОЙ ОРГАНИЗАЦИИ МИНИСТЕРСТВА ВНУТРЕННИХ ДЕЛ РОССИЙСКОЙ ФЕДЕРАЦИИ
СПОРТ КАК ФАКТОР СОЦИАЛИЗАЦИИ ЛИЧНОСТИ
СПОРТИВНЫЕ ТРАДИЦИИ В СЕМЬЕ КАК ФАКТОР ФИЗИЧЕСКОГО ВОСПИТАНИЯ ЛИЧНОСТИ
СПОСОБНОСТИ И РОЛИ ЛИЧНОСТИ В ПРОФЕССИОНАЛЬНОЙ ДЕЯТЕЛЬНОСТИ
СПОСОБЫ РАЗВИТИЯ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТОВ В ПРОЦЕССЕ ИЗУЧЕНИЯ ИНОСТРАННОГО ЯЗЫКА
СРАВНИТЕЛЬНЫЙ АНАЛИЗ АКТУАЛИЗАЦИИ ЛИЧНОСТИ АВТОРА В НАРРАТИВЕ И КРИТИЧЕСКОМ ТЕКСТЕ
СТАНОВЛЕНИЕ ЛИЧНОСТИ БУДУЩЕГО ПЕДАГОГА КАК ГРАЖДАНИНА РОССИИ В ПРОЦЕССЕ ИНОЯЗЫЧНОЙ ПРОФЕССИОНАЛЬНОЙ ПОДГОТОВКИ
СТАНОВЛЕНИЕ ЛИЧНОСТИ МУЗЫКАНТА В УСЛОВИЯХ ИНФОРМАЦИОННО-ОБРАЗОВАТЕЛЬНОЙ СРЕДЫ (НА ПРИМЕРЕ ВУЗА ИСКУССТВ)
СТАНОВЛЕНИЕ ЛИЧНОСТИ ШКОЛЬНИКА ЧЕРЕЗ ПАТРИОТИЧЕСКОЕ ВОСПИТАНИЕ В УСЛОВИЯХ МНОГОПРОФИЛЬНОЙ ШКОЛЫ (СИТУАТИВНАЯ ИГРА ПОСВЯЩЕННАЯ ДНЮ ПОБЕДЫ)
СТАНОВЛЕНИЕ ПРОФЕССИОНАЛЬНОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ В СТУДЕНЧЕСТВЕ
СТАНОВЛЕНИЕ РЕФЛЕКСИВНО-ЭМПАТИЙНЫХ СВОЙСТВ ЛИЧНОСТИ СТУДЕНТА-ПСИХОЛОГА КАК ОСНОВАНИЯ ЕГО ПСИХОЛОГИЧЕСКОГО БЛАГОПОЛУЧИЯ НА ЭТАПЕ ДОПРОФЕССИОНАЛЬНОГО РАЗВИТИЯ
СТАНОВЛЕНИЕ СУБЪЕКТНОСТИ ЛИЧНОСТИ СТУДЕНТА: НА ПУТИ К КУЛЬТУРЕ ДОСТОИНСТВА
СТАНОВЛЕНИЕ ТВОРЧЕСКОЙ ЛИЧНОСТИ ПРЕПОДАВАТЕЛЯ ИНОСТРАННОГО ЯЗЫКА В СИСТЕМЕ ДОПОЛНИТЕЛЬНОГО ПРОФЕССИОНАЛЬНОГО ОБРАЗОВАНИЯ
СТИЛИ ДЕЛОВОГО ОБЩЕНИЯ: ПРОСТРАНСТВО ДЕЯТЕЛЬНОСТИ И ПРОФЕССИОНАЛЬНАЯ РЕАЛИЗАЦИЯ ЛИЧНОСТ ЧАСТЬ
СТРАТЕГИИ СОВЛАДЕЮЩЕГО ПОВЕДЕНИЯ ЛИЧНОСТИ В УСЛОВИЯХ ОТВЕТСТВЕННОСТИ И НЕРВНО-ПСИХИЧЕСКИХ НАПРЯЖЕНИЙ
СТРУКТУРА ИНФОРМАЦИОННОГО ПОВЕДЕНИЯ КАК КОМПОНЕНТ ИНФОРМАЦИОННОЙ КУЛЬТУРЫ ЛИЧНОСТИ
СТРУКТУРА ЛИЧНОСТИ В ПРОЦЕССЕ ПРОФЕССИОНАЛЬНОГО СТАНОВЛЕНИЯ: ТЕОРИЯ И ПСИХОДИАГНОСТИЧЕСКАЯ ПРАКТИКА
СТРУКТУРНАЯ ОРГАНИЗАЦИЯ ИНТЕЛЛЕКТА И ЛИЧНОСТИ СТАРШИХ ПОДРОСТКОВ С РАЗНЫМ УРОВНЕМ ТОЛЕРАНТНОСТИ
СТРУКТУРНО-ДИНАМИЧЕСКАЯ МОДЕЛЬ ЖИЗНЕННОГО ЦИКЛА ИСТОРИЧЕСКОЙ ЛИЧНОСТИ-ЧАСТЬ
СТРУКТУРНО-КОМПОНЕНТНЫЙ СОСТАВ ИНФОРМАЦИОННОЙ КУЛЬТУРЫ КУРСАНТОВ КАК ПРОФЕССИОНАЛЬНО ЗНАЧИМОГО КАЧЕСТВА ЛИЧНОСТИ
СТРУКТУРНЫЕ КОМПОНЕНТЫ ПРОФЕССИОНАЛЬНОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ
СТУДЕНЧЕСКИЙ НАУЧНЫЙ КРУЖОК КАК ФАКТОР СТАНОВЛЕНИЯ ЛИЧНОСТИ ВРАЧА
СУБСТАНЦИОНАЛЬНО-ТЕМПОРАЛЬНАЯ СИСТЕМНОСТЬ РОЛЕВОЙ СОЦИАЛИЗАЦИИ ЛИЧНОСТИ
СУБЪЕКТНАЯ АКТИВНОСТЬ ЛИЧНОСТИ И ИДЕНТИЧНОСТЬ БАСКЕТБОЛИСТОВ КОМАНД РОССИИ И КИТАЯ
СУБЪЕКТНАЯ ПОЗИЦИЯ СТУДЕНЧЕСКОЙ МОЛОДЕЖИ КАК ФАКТОР ПРОФЕССИОНАЛЬНОГО РАЗВИТИЯ ЛИЧНОСТИ В УЧЕБНО-ОБРАЗОВАТЕЛЬНОМ ПРОЦЕССЕ
СУБЪЕКТНОСТЬ КАК ИНТЕГРАЛЬНОЕ КАЧЕСТВО ЛИЧНОСТИ СТУДЕНТА
СУБЪЕКТНЫЕ СВОЙСТВА ЛИЧНОСТИ КАК РЕСУРС КОНКУРЕНТОСПОСОБНОСТИ ШАХМАТИСТА
СУБЪЕКТНЫЕ СВОЙСТВА ЛИЧНОСТИ КАК РЕСУРС КОНКУРЕНТОСПОСОБНОСТИ ШАХМАТИСТА
СУЩНОСТНАЯ ХАРАКТЕРИСТИКА ВИДОВ ИНТЕЛЛЕКТА КАК ОСНОВЫ ФОРМИРОВАНИЯ ИННОВАЦИОННОЙ ЛИЧНОСТИ
СУЩНОСТНАЯ ХАРАКТЕРИСТИКА ТАДЖИКСКИХ НАЦИОНАЛЬНЫХ ЦЕННОСТЕЙ И ИХ МЕСТО В СТРУКТУРЕ ЛИЧНОСТИ БУДУЩЕГО УЧИТЕЛЯ НАЧАЛЬНЫХ КЛАССОВ
СУЩНОСТНЫЕ ХАРАКТЕРИСТИКИ ПОНЯТИЯ СОЦИАЛЬНАЯ КОМПЕТЕНТНОСТЬ ЛИЧНОСТИ
СУЩНОСТЬ И ОСОБЕННОСТИ ВОСПИТАНИЯ НАЦИОНАЛЬНОЙ И РЕЛИГИОЗНОЙ ТОЛЕРАНТНОСТИ ФОРМИРУЮЩЕЙСЯ ЛИЧНОСТИ РЕБЕНКА
СУЩНОСТЬ И СТРУКТУРА СОЦИАЛЬНО-ПЕРЦЕПТИВНОЙ КОМПЕТЕНТНОСТИ ФОРМИРУЮЩЕЙСЯ ЛИЧНОСТИ СОЦИАЛЬНОГО РАБОТНИКА
СУЩНОСТЬ ТВОРЧЕСКОГО САМОДВИЖЕНИЯ ЛИЧНОСТИ
ТАКТИКА ПЕДАГОГИЧЕКОЙ ПОДДЕРЖКИ ЛИЧНОСТИ СТУДЕНТА В ПРЕОДОЛЕНИИ СТРЕССОВЫХ СИТУАЦИЙ
ТВОРЧЕСКАЯ ЛИЧНОСТЬ В ПРОФЕССИОНАЛЬНОЙ ДЕЯТЕЛЬНОСТИ
ТВОРЧЕСКАЯ ЛИЧНОСТЬ В СОВРЕМЕННОМ ОБЩЕСТВЕ
ТВОРЧЕСКАЯ САМОРЕАЛИЗАЦИЯ ЛИЧНОСТИ ОБУЧАЮЩЕГОСЯ ЧЕРЕЗ ПРОЕКТНУЮ ДЕЯТЕЛЬНОСТЬ
ТВОРЧЕСКАЯ САМОРЕАЛИЗАЦИЯ ЛИЧНОСТИ СОВРЕМЕННЫХ СТУДЕНТОВ В УСЛОВИЯХ ТРАНСФОРМАЦИИ ЦЕННОСТНО-СМЫСЛОВЫХ УСТАНОВОК МОЛОДЁЖИ
ТВОРЧЕСКИЕ АСПЕКТЫ ПОДГОТОВКИ ЛИЧНОСТИ БУДУЩИХ УЧИТЕЛЕЙ ФИЗИЧЕСКОГО ВОСПИТАНИЯ ПОСРЕДСТВОМ ЗАНЯТИЙ ПО ФИЗИЧЕСКОМУ ВОСПИТАНИЮ
ТВОРЧЕСКОЕ РАЗВИТИЕ ЛИЧНОСТИ ПОДРОСТКОВ НА УРОКЕ СОЛЬНОГО ПЕНИЯ
ТВОРЧЕСКОЕ САМОРАЗВИТИЕ ЛИЧНОСТИ: ЭТНОКУЛЬТУРНЫЙ КОМПОНЕНТ ПЕДАГОГИЧЕСКИЕ УСЛОВИЯ ПРИНЦИПЫ
ТВОРЧЕСТВО ВЫДАЮЩИХСЯ ПЕДАГОГОВ-МУЗЫКАНТОВ КАК ФАКТОР ДУХОВНОГО СОВЕРШЕНСТВОВАНИЯ И НРАВСТВЕННЫХ ПОИСКОВ ЛИЧНОСТИ
ТВОРЧЕСТВО И ЦИФРОВЫЕ ТЕХНОЛОГИИ В СТАНОВЛЕНИИ ЛИЧНОСТИ ПЕДАГОГА
ТВОРЧЕСТВО КАК СПОСОБ СОЗДАНИЯ ПОЛОЖИТЕЛЬНОЙ МОТИВАЦИИ В ОБУЧЕНИИ ШКОЛЬНИКОВ И ЕГО РОЛЬ В ДУХОВНОМ СТАНОВЛЕНИИ ЛИЧНОСТИ
ТЕЗАУРУСНЫЙ УРОВЕНЬ ЯЗЫКОВОЙ ЛИЧНОСТИПУШКИНАЛЕКСИКОГРАФИЧЕСКАЯ ИНТЕРПРЕТАЦИЯ ИНТЕРТЕКСТУАЛЬНОСТИ И ПРЕЦЕДЕНТНОСТИ
ТЕМПОРАЛЬНЫЕ ОСНОВЫ РАЗВИТИЯ И ПСИХИЧЕСКОГО ЗДОРОВЬЯ ЛИЧНОСТИ В ЗАРУБЕЖНЫХ КОНЦЕПЦИЯХ
ТЕОРЕТИЗАЦИЯ КАК ТЕХНОЛОГИЯ И КОНСТРУКТ РАЗВИТИЯ ЛИЧНОСТИ В СИСТЕМЕ НЕПРЕРЫВНОГО ОБРАЗОВАНИЯ
ТЕОРЕТИЗАЦИЯ ФОРМИРОВАНИЯ КУЛЬТУРЫ САМОСТОЯТЕЛЬНОЙ РАБОТЫ ЛИЧНОСТИ В СИСТЕМЕ НЕПРЕРЫВНОГО ОБРАЗОВАНИЯ
ТЕОРЕТИКО-МЕТОДОЛОГИЧЕСКИЕ АСПЕКТЫ ПРОБЛЕМЫ ЕДИНИЦ АНАЛИЗА СТРУКТУРЫ ЛИЧНОСТИ ПСИХОЛОГА
ТЕОРЕТИКО-МЕТОДОЛОГИЧЕСКИЕ ОСНОВЫ ФОРМИРОВАНИЯ ПСИХОЛОГИЧЕСКИ ЗДОРОВОЙ ЛИЧНОСТИ ОБУЧАЮЩЕГОСЯ В СОВРЕМЕННОЙ ШКОЛЕ
ТЕОРЕТИКО-МЕТОДОЛОГИЧЕСКИЕ ПОДХОДЫ К ОБОСНОВАНИЮ ЛИНГВОКУЛЬТУРНОЙ КОМПЕТЕНТНОСТИ ЛИЧНОСТИ
ТЕОРЕТИКО-МЕТОДОЛОГИЧЕСКИЕ ПОДХОДЫ К ПОЗНАНИЮ СУЩНОСТИ ЭСТЕТИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ
ТЕОРЕТИКО-МЕТОДОЛОГИЧЕСКИЙ АНАЛИЗ СУЩНОСТИ СОДЕРЖАНИЯ И ОСОБЕННОСТЕЙ АГРЕССИВНОГО ПОВЕДЕНИЯ ЛИЧНОСТИ
ТЕОРЕТИКО-МЕТОДОЛОГИЧЕСКОЕ ОБЕСПЕЧЕНИЕ АДАПТИВНО-ПРОДУКТИВНЫХ ВОЗМОЖНОСТЕЙ РАЗВИТИЯ ЛИЧНОСТИ В СИСТЕМЕ НЕПРЕРЫВНОГО ОБРАЗОВАНИЯ
ТЕОРЕТИЧЕСКИЕ АСПЕКТЫ ВОПРОСА ИЗУЧЕНИЯ ЭМОЦИОНАЛЬНЫХ ХАРАКТЕРИСТИК ЛИЧНОСТИ В УСЛОВИЯХ ВОЕННО-ПРОФЕССИОНАЛЬНОЙ ДЕЯТЕЛЬНОСТИ
ТЕОРЕТИЧЕСКИЕ АСПЕКТЫ МОДЕЛИРОВАНИЯ СОЦИАЛЬНОГО РАЗВИТИЯ ЛИЧНОСТИ В ОБРАЗОВАТЕЛЬНОЙ СРЕДЕ
ТЕОРЕТИЧЕСКИЕ АСПЕКТЫ ПРОФЕССИОНАЛЬНОЙ АДАПТАЦИИ ЛИЧНОСТИ ПЕДАГОГА В ПРОФЕССИОНАЛЬНОМ ОБРАЗОВАНИИ
ТЕОРЕТИЧЕСКИЕ АСПЕКТЫ ПСИХОЛОГО-АКМЕОЛОГИЧЕСКОГО СОПРОВОЖДЕНИЯ РАЗВИТИЯ ЛИЧНОСТИ УПРАВЛЕНЧЕСКОГО ЛИДЕРА В НЕФТЕГАЗОВОЙ ОРГАНИЗАЦИИ
ТЕОРЕТИЧЕСКИЕ И ПРИКЛАДНЫЕ АСПЕКТЫ ОСВОЕНИЯ ДИСЦИПЛИН СОЦИАЛЬНО-ГУМАНИТАРНОГО БЛОКА ПРИ ФОРМИРОВАНИИ ЛИЧНОСТИ СОТРУДНИКА ПОЛИЦИИСОЦИАЛЬНО-ФИЛОСОФСКИЙ АСПЕКТ
ТЕОРЕТИЧЕСКИЕ ОСНОВЫ ДУХОВНО-НРАВСТВЕННОГО СТАНОВЛЕНИЯ ЛИЧНОСТИ В ПРОЦЕССЕ ПРОФЕССИОНАЛЬНОЙ ПОДГОТОВКИ БУДУЩЕГО ПЕДАГОГА
ТЕОРЕТИЧЕСКИЕ ОСНОВЫ ПРОБЛЕМЫ ФОРМИРОВАНИЯ КОММУНИКАТИВНЫХ НАВЫКОВ У ДЕТЕЙ СТАРШЕГО ДОШКОЛЬНОГО ВОЗРАСТ СПЕЦИФИКА КОММУНИКАТИВНОГО РАЗВИТИЯ ЛИЧНОСТИ
ТЕОРЕТИЧЕСКИЕ ОСНОВЫ СИСТЕМНОГО РАСКРЫТИЯ ВЗАИМОСВЯЗИ ЭМОЦИОНАЛЬНЫХ ОСОБЕННОСТЕЙ И ПРОФЕССИОНАЛЬНОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ
ТЕОРЕТИЧЕСКИЕ ПОДХОДЫ ФОРМИРОВАНИЯ ЛИЧНОСТИ ШКОЛЬНИКА В ПРОЦЕССЕ ЭСТЕТИЧЕСКОГО ВОСПИТАНИЯ
ТЕОРЕТИЧЕСКИЕ ПРЕДПОСЫЛКИ ИССЛЕДОВАНИЯ СОЦИАЛЬНО-ПРИРОДНОЙ СРЕДЫ КАК РАЗВИВАЮЩЕГО ФАКТОРА ЛИЧНОСТИ
ТЕОРЕТИЧЕСКИЙ АНАЛИЗ ПОНЯТИЙ ИНДИВИД ЛИЧНОСТЬ СУБЪЕКТ ИНДИВИДУАЛЬНОСТЬ
ТЕОРЕТИЧЕСКИЙ АНАЛИЗ ПОНЯТИЯ КОНКУРЕНТОСПОСОБНАЯ ЛИЧНОСТЬ В ПСИХОЛОГО-ПЕДАГОГИЧЕСКИХ ИССЛЕДОВАНИЯХ
ТЕОРЕТИЧЕСКИЙ ОБЗОР ПОНЯТИЯ САМОРЕАЛИЗАЦИИ КАК ОСНОВЫ ДУХОВНОЙ СОСТАВЛЯЮЩЕЙ ФИЗИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ
ТЕОРЕТИЧЕСКОЕ ОСМЫСЛЕНИЕ СИТУАЦИЙ ФОРМИРОВАНИЯ ПОЗНАВАТЕЛЬНОЙ СФЕРЫ УЧАЩИХСЯ НАЧАЛЬНОЙ ШКОЛЫ В ИНТЕРЕСАХ РАЗВИТИЯ ИХ КАК ЛИЧНОСТИ
ТЕОРИЯ И ВОЗМОЖНОСТИ СОЦИАЛИЗАЦИИ И САМОРЕАЛИЗАЦИИ ЛИЧНОСТИ В СИСТЕМЕ НЕПРЕРЫВНОГО ОБРАЗОВАНИЯ И В СПОРТЕ
ТЕОРИЯБОЖОВИЧ: ЛИЧНОСТЬ ПСИХИКА ИНДИВИДУАЛЬНОСТЬ
ТЕХНОЛОГИИ РАЗВИТИЯ ЛИЧНОСТИ В КОНЦЕПЦИИ СМЫСЛОДИДАКТИКИ
ТЕХНОЛОГИЯ РЕАЛИЗАЦИИ РАЗВИТИЯ КОММУНИКАТИВНЫХ СВОЙСТВ ЛИЧНОСТИ В ПРОЦЕССЕ ОБУЧЕНИЯ СТУДЕНТОВ ФИЗИКЕ
ТЕХНОЛОГИЯ СОЗДАНИЯ АДАПТИВНОЙ ОБРАЗОВАТЕЛЬНОЙ СРЕДЫ СТАНОВЛЕНИЯ ЛИЧНОСТИ
ТЕХНОЛОГИЯ ФОРМИРОВАНИЯ ФИЗИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ ДЕТЕЙ-ЛЕТ В УСЛОВИЯХ ДОПОЛНИТЕЛЬНЫХ ФОРМ ФИЗИЧЕСКОГО ВОСПИТАНИЯ СЕЛЬСКОЙ ШКОЛЫ
ТИПОЛОГИЧЕСКИЙ ПОДХОД В ИССЛЕДОВАНИИ СТРУКТУРЫ ИННОВАЦИОННОГО ПОТЕНЦИАЛА ЛИЧНОСТИ
ТИПЫ ЯЗЫКОВОЙ ЛИЧНОСТИ В СОВРЕМЕННОМ АНГЛОЯЗЫЧНОМ ПОЛИТИЧЕСКОМ ДИСКУРСЕ
ТОЛЕРАНТНОЕ ВОСПРИЯТИЕ ЛИЧНОСТЬЮ СОЦИОКУЛЬТУРНЫХ РАЗЛИЧИЙ КАК ФИЛОСОФСКАЯ И ПСИХОЛОГОПЕДАГОГИЧЕСКАЯ ПРОБЛЕМА
ТОЛЕРАНТНОСТЬ КАК ПРОФЕССИОНАЛЬНО ЗНАЧИМОЕ КАЧЕСТВО ЛИЧНОСТИ
ТРАНСФОРМАЦИИ ЛИЧНОСТИ СПЕЦИАЛИСТА В СЕТЕВОМ ОБЩЕСТВЕ И ПОТРЕБНОСТИ ВЫСШЕГО ОБРАЗОВАНИЯ
ТРАНСФОРМАЦИЯ ЛИЧНОСТИ СТУДЕНТОВ ВУЗА В УСЛОВИЯХ ИЗУЧЕНИЯ ИНОСТРАННОГО ЯЗЫКА
ТРАНСФОРМАЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ В ПОЛИЛИНГВОКУЛЬТУРНОМ СОЦИУМЕ
ТРЕВОЖНОСТЬ ЛИЧНОСТИ КАК ФАКТОР РАЗВИТИЯ СТРЕССОУСТОЙЧИВОСТИ
ТРЕНИНГ РАЗВИТИЯ ПСИХОПЛАСТИКИ ЛИЧНОСТИ В ПРОГРАММАХ РАБОТЫ С ТРУДНОВОСПИТУЕМЫМИ ПОДРОСТКАМИ
ТРУД КАК СОЦИОКУЛЬТУРНЫЙ И ПЕДАГОГИЧЕСКИЙ ФЕНОМЕН В ТРАДИЦИОННОМ РУССКОМ МИРЕ: МЕХАНИЗМЫ И ФАКТОРЫ ФОРМИРОВАНИЯ ЭТНОКУЛЬТУРНОЙ ИДЕНТИЧНОСТИ ЛИЧНОСТИ
ТРУДНАЯ ЖИЗНЕННАЯ СИТУАЦИЯ КАК ФАКТОР СОЦИАЛИЗАЦИИ ЛИЧНОСТИ: ПОДХОДЫ КЛАССИФИКАЦИИ ПРИЧИНЫ ВОЗНИКНОВЕНИЯ
ТРУДОВОЕ ВОСПИТАНИЕ ДЕТЕЙ С ИНТЕЛЛЕКТУАЛЬНЫМИ НАРУШЕНИЯМИ КАК СРЕДСТВО ФОРМИРОВАНИЯ НРАВСТВЕННЫХ КАЧЕСТВ ЛИЧНОСТИ
УДОСТОВЕРЕНИЯ ЛИЧНОСТИ В РОССИИ
УМЕНИЕ ПРЕОДОЛЕВАТЬ ТРУДНОСТИ КАК ПОКАЗАТЕЛЬ ГОТОВНОСТИ ЛИЧНОСТИ К САМОРАЗВИТИЮ
УПОДОБЛЕНИЕ КАК УНИВЕРСАЛЬНЫЙ ПРИНЦИП ВЗАИМОДЕЙСТВИЯ МУЗЫКАЛЬНОГО ИСКУССТВА И ЛИЧНОСТИ
УПРАВЛЕНИЕ КУЛЬТУРНЫМ РАЗВИТИЕМ ЛИЧНОСТИ В СОДЕРЖАНИИ УЧЕБНИКА ДЛЯ РУКОВОДИТЕЛЕЙ СФЕРЫ ОБРАЗОВАНИЯ
УПРАВЛЕНИЕ ПРОФЕССИОНАЛЬНОЙ ОРИЕНТАЦИЕЙ ЛИЧНОСТИ НА РАННИХ ЭТАПАХ ОБУЧЕНИЯ И РАЗВИТИЯ
УПРАВЛЕНИЕ ПРОФЕССИОНАЛЬНЫМ РАЗВИТИЕМ ЛИЧНОСТИ И ПРОФЕССИОНАЛЬНОЕ САМООПРЕДЕЛЕНИЕ
УПРАВЛЕНИЕ САМОСТОЯТЕЛЬНОЙ РАБОТОЙ СТУДЕНТОВ ПРИ ОБУЧЕНИИ ХИМИИ КАК СПОСОБ САМООРГАНИЗАЦИИ ЛИЧНОСТИ
УПРАЖНЕНИЕ КАК МЕТОД ПЕДАГОГИЧЕСКОГО ВОЗДЕЙСТВИЯ НА ЛИЧНОСТЬ
УРОВЕНЬ СПОРТИВНОЙ КВАЛИФИКАЦИЙ И МОРАЛЬНАЯ НОРМАТИВНОСТЬ ЛИЧНОСТИ
УРОВЕНЬ СПОРТИВНОЙ КВАЛИФИКАЦИЙ И МОРАЛЬНО-ЭТИЧЕСКАЯ ОТВЕТСТВЕННОСТЬ ЛИЧНОСТИ
УРОВНИ РИСКОВ ПСИХОЛОГО-ПЕДАГОГИЧЕСКОЙ БЕЗОПАСНОСТИ ОБРАЗОВАТЕЛЬНОЙ СРЕДЫ И ЛИЧНОСТИ ОБУЧАЮЩЕГОСЯ
УРОК МУЗЫКИ КАК УРОК ИСКУССТВА И ЗНАЧИМЫЙ ЭЛЕМЕНТ РАЗВИТИЯ ЛИЧНОСТИ ШКОЛЬНИКА
УСЛОВИЯ ВОСПИТАНИЯ СОЦИАЛЬНОСТИ КАК НРАВСТВЕННОГО КАЧЕСТВА ЛИЧНОСТИ УЧАЩИХСЯ ОБЩЕОБРАЗОВАТЕЛЬНОЙ ШКОЛЫ
УСЛОВИЯ РАЗВИТИЯ КРЕАТИВНОСТИ В ЛИЧНОСТИ ПЕДАГОГА
УСЛОВИЯ ФОРМИРОВАНИЯ ЦЕННОСТНЫХ ОРИЕНТАЦИЙ ФИЗИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ У СТУДЕНТОВ
УЧЁТ ОСОБЕННОСТЕЙ РАЗВИТИЯ ХУДОЖЕСТВЕННОГО МЫШЛЕНИЯ ЛИЧНОСТИ В ОБУЧЕНИИ ПЕДАГОГОВ-ХОРЕОГРАФОВ
УЧЕТ ТЕОРЕТИКО-МЕТОДОЛОГИЧЕСКИХ ПОДХОДОВ В ОПРЕДЕЛЕНИИ СТРУКТУРЫ ЛИЧНОСТИ БУДУЩИХ СПЕЦИАЛИСТОВ ГАЗОДЫМОЗАЩИТНОЙ СЛУЖБЫ
УЧЕТ ТИПОЛОГИЧЕСКИХ ОСОБЕННОСТЕЙ ЛИЧНОСТИ ПРИ РЕАЛИЗАЦИИ ДИФФЕРЕНЦИРОВАННОГО ПОДХОДА В ОБУЧЕНИИ ИНОСТРАННОМУ ЯЗЫКУ СТУДЕНТОВ ЯЗЫКОВЫХ ФАКУЛЬТЕТОВ
ФАКТОРЫ ВОСПИТАНИЯ МОРАЛЬНО-ВОЛЕВЫХ КАЧЕСТВ ЛИЧНОСТИ ЮНЫХ СПОРТСМЕНОВ
ФАКТОРЫ РАЗВИТИЯ ГОТОВНОСТИ ЛИЧНОСТИ К САМООБУЧЕНИЮ ПОСРЕДСТВОМ ЕЕ МЕДИАОБРАЗОВАНИЯ НА ЭТАПЕ ВУЗОВСКОЙ ПОДГОТОВКИ
ФАКТОРЫ РИСКА ПСИХОЛОГИЧЕСКОЙ БЕЗОПАСНОСТИ ЛИЧНОСТИ В ПОДРОСТКОВОМ И ЮНОШЕСКОМ ВОЗРАСТАХ
ФАКТОРЫ ФОРМИРОВАНИЯ ЭМОЦИОНАЛЬНОЙ УСТОЙЧИВОСТИ ЛИЧНОСТИ
ФАКТОРЫ-СТИМУЛЫ РАЗВИТИЯ ЛИЧНОСТИ СТУДЕНТА В ПРОЦЕССЕ РЕАЛИЗАЦИИ ЛИЧНОСТНО-ОРИЕНТИРОВАННОГО ПОДХОДА В ОБУЧЕНИИ
ФАКТОРЫ ОБУСЛАВЛИВАЮЩИЕ ФОРМИРОВАНИЕ КУЛЬТУРЫ ЗДОРОВЬЯ ЛИЧНОСТИ
ФЕНОМЕН ПСИХОЛОГИЧЕСКОГО ВРЕМЕНИ ЛИЧНОСТИИСПОЛЬЗОВАНИЕВРЕМЕННЫХ АСПЕКТОВ ПОДСОЗНАНИЯ
ФЕНОМЕН ЭМОЦИОНАЛЬНОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ В ТЕОРИИДОДОНОВА
ФЕНОМЕН ЭСТЕТИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ В СОВРЕМЕННЫХ ПЕДАГОГИЧЕСКИХ ИССЛЕДОВАНИЯХ
ФЕНОМЕНОЛОГИЯ СОЦИАЛЬНО АКТИВНОЙ ЛИЧНОСТИ И ПРЕДСТАВЛЕНИЕ О НЕЙ СТУДЕНЧЕСКОЙ МОЛОДЕЖИ
ФИЗИЧЕСКАЯ КУЛЬТУРА КАК НЕОТЪЕМЛЕМЫЙ КОМПОНЕНТ ВСЕСТОРОННЕГО РАЗВИТИЯ ЛИЧНОСТИ
ФИЗИЧЕСКАЯ КУЛЬТУРА КАК УНИВЕРСАЛЬНОЕ СРЕДСТВО РАЗВИТИЯ ЛИЧНОСТИ
ФИЗИЧЕСКАЯ КУЛЬТУРА КАК ФАКТОР РАЗВИТИЯ ЛИЧНОСТИ А ТАКЖЕ ПРЕДПОСЫЛКИ ЕЁ ОСМЫСЛЕНИЯ
ФИЗИЧЕСКАЯ КУЛЬТУРА КАК ФАКТОР ФОРМИРОВАНИЯ ЗДОРОВОГО ОБРАЗА ЖИЗНИ ЛИЧНОСТИ
ФИЗИЧЕСКОЕ ВОСПИТАНИЕ В СИСТЕМЕ ВСЕСТОРОННЕГО РАЗВИТИЯ ЛИЧНОСТИ
ФИЗИЧЕСКОЕ ВОСПИТАНИЕ В СИСТЕМЕ ВСЕСТОРОННЕГО РАЗВИТИЯ ЛИЧНОСТИ
ФИЗИЧЕСКОЕ ВОСПИТАНИЕ КАК ИНСТРУМЕНТ РАЗВИТИЯ ДУХОВНОЙ КУЛЬТУРЫ ЛИЧНОСТИ И ЛИЧНОСТНЫХ КАЧЕСТВ СТУДЕНТОВ
ФИЗИЧЕСКОЕ ВОСПИТАНИЕ КАК ФАКТОР НАПРАВЛЕННОГО ВОСПИТАНИЯ ЛИЧНОСТИ
ФИЗИЧЕСКОЕ ВОСПИТАНИЕ КАК ФАКТОР РАЗВИТИЯ ЛИЧНОСТИ И ФОРМИРОВАНИЯ ЗДОРОВОГО ОБРАЗА ЖИЗНИ
ФИЗИЧЕСКОЕ И УМСТВЕННОЕ ВОСПИТАНИЕ ЧЕЛОВЕКА ДЛЯ ГАРМОНИЧНОГО РАЗВИТИЯ ЛИЧНОСТИ
ФЛУКТУАЦИИ МОТИВАЦИИ ДОСТИЖЕНИЯ ЛИЧНОСТИ КАК СИСТЕМНЫЙ ФЕНОМЕН
ФОРМАЛЬНО-ДИНАМИЧЕСКИЕ СВОЙСТВА В СТРУКТУРЕ ЛИЧНОСТИ СТУДЕНТОВ-ПЕРВОКУРСНИКОВ МЕДИЦИНСКОГО УНИВЕРСИТЕТА
ФОРМИРОВАНИЕ ВОЕННО-ПРОФЕССИОНАЛЬНОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ ВОСПИТАННИКОВ ОБЩЕОБРАЗОВАТЕЛЬНЫХ И ПРОФЕССИОНАЛЬНЫХ ОБРАЗОВАТЕЛЬНЫХ ОРГАНИЗАЦИЙ СО СПЕЦИАЛЬНЫМ НАИМЕНОВАНИЕМ
ФОРМИРОВАНИЕ ВОЕННО-ПРОФЕССИОНАЛЬНОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ КУРСАНТОВ НА ОСНОВЕ РАЗВИТИЯ ТВОРЧЕСКОЙ ДЕЯТЕЛЬНОСТИ
ФОРМИРОВАНИЕ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ В ПРОЦЕССЕ ИЗУЧЕНИЯ РУССКОГО ЯЗЫКА КАК ИНОСТРАННОГО (НА ПРИМЕРЕ РАБОТЫ С БЕЗЭКВИВАЛЕНТНОЙ ЛЕКСИКОЙ)
ФОРМИРОВАНИЕ ГАРМОНИЧНО РАЗВИТОЙ ЛИЧНОСТИ СОВРЕМЕННОГО ШКОЛЬНИКА В СОЦИОКУЛЬТУРНОЙ СРЕДЕ
ФОРМИРОВАНИЕ ГОТОВНОСТИ К КОНТРОЛЬНО-ОЦЕНОЧНОЙ ДЕЯТЕЛЬНОСТИ И РАЗВИТИЕ ЛИЧНОСТИ СТУДЕНТА
ФОРМИРОВАНИЕ ГРАЖДАНСКИХ КАЧЕСТВ ЛИЧНОСТИ УЧАЩИХСЯ В УСЛОВИЯХ СОВРЕМЕННОГО ОБЩЕСТВА
ФОРМИРОВАНИЕ ГРАЖДАНСКО-ПАТРИОТИЧЕСКИХ КАЧЕСТВ ЛИЧНОСТИ СТУДЕНТА СПО В ПРОЦЕССЕ ИЗУЧЕНИЯ ДИСЦИПЛИНЫ ИСТОРИЯ
ФОРМИРОВАНИЕ ГРАЖДАНСКОЙ АКТИВНОСТИ И СОЦИАЛИЗАЦИИ ЛИЧНОСТИ ЧЕРЕЗ СИСТЕМУ МЕДИАОБРАЗОВАНИЯ
ФОРМИРОВАНИЕ ДУХОВНО-НРАВСТВЕННОЙ ЛИЧНОСТИ В ПРОЦЕССЕ ФИЗИЧЕСКОГО ВОСПИТАНИЯ ВО ВНЕУРОЧНОЙ ДЕЯТЕЛЬНОСТИ
ФОРМИРОВАНИЕ ДУХОВНО-НРАВСТВЕННОЙ ЛИЧНОСТИ ПОДРОСТКА В УСЛОВИЯХ ДОПОЛНИТЕЛЬНОГО ОБРАЗОВАНИЯ
ФОРМИРОВАНИЕ ДУХОВНО-НРАВСТВЕННЫХ УСТАНОВОК ЛИЧНОСТИ СТУДЕНТА
ФОРМИРОВАНИЕ И РАЗВИТИЕ ДУХОВНО-НРАВСТВЕННОЙ КУЛЬТУРЫ ЛИЧНОСТИ БУДУЩЕГО ПЕДАГОГА
ФОРМИРОВАНИЕ И РАЗВИТИЕ ДУХОВНО-НРАВСТВЕННОЙ КУЛЬТУРЫ ЛИЧНОСТИ БУДУЩЕГО ПЕДАГОГА
ФОРМИРОВАНИЕ И РАЗВИТИЕ ЛИЧНОСТИ ПРОФЕССИОНАЛА И ЭФФЕКТИВНОЙ МОТИВАЦИИ К ПРОФЕССИИ В УСЛОВИЯХ ОБРАЗОВАТЕЛЬНОЙ ОРГАНИЗАЦИИ: НА МАТЕРИАЛАХ СОЦИОЛОГИЧЕСКОГО ИССЛЕДОВАНИЯ
ФОРМИРОВАНИЕ ИНИЦИАТИВЫ И САМОСТОЯТЕЛЬНОСТИ КАК СПОСОБ РАЗВИТИЯ ЛИЧНОСТИ РЕБЕНКА НА ЭТАПЕ ДОШКОЛЬНОГО ДЕТСТВА
ФОРМИРОВАНИЕ ИННОВАЦИОННОГО МЫШЛЕНИЯ ЛИЧНОСТИ В УСЛОВИЯХ ОБРАЗОВАТЕЛЬНОЙ СРЕДЫ ВУЗА
ФОРМИРОВАНИЕ ИННОВАЦИОННОЙ ПРОФЕССИОНАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТОВ ЮРИДИЧЕСКОГО ФАКУЛЬТЕТА НА ОСНОВЕ СИНЕРГЕТИЧЕСКОГО ПОДХОДА
ФОРМИРОВАНИЕ ИНФОРМАЦИОННО-ПРАВОВОЙ КОМПЕТЕНЦИИ ЛИЧНОСТИ: СОЦИАЛЬНО-КУЛЬТУРНЫЙ АСПЕКТ
ФОРМИРОВАНИЕ ИНФРАСТРУКТУРЫ ПО ВЫЯВЛЕНИЮ КРЕАТИВНОГО ПОТЕНЦИАЛА ЛИЧНОСТИ В ОТРАСЛИ ОБРАЗОВАТЕЛЬНЫХ УСЛУГ
ФОРМИРОВАНИЕ КАЧЕСТВ ЛИЧНОСТИ ЧЕЛОВЕКА КУЛЬТУРЫ У МЛАДШИХ ШКОЛЬНИКОВ В ИНКЛЮЗИВНОМ ПРОСТРАНСТВЕ ОБЩЕОБРАЗОВАТЕЛЬНОГО УЧРЕЖДЕНИЯ
ФОРМИРОВАНИЕ КОНКУРЕНТОСПОСОБНОЙ ЛИЧНОСТИ В ИСТОРИКО-ФИЛОСОФСКОЙ И ПСИХОЛОГО-ПЕДАГОГИЧЕСКОЙ ЛИТЕРАТУРЕ
ФОРМИРОВАНИЕ КОНКУРЕНТОСПОСОБНОЙ ЛИЧНОСТИ ПУТЕМ ПРОВЕДЕНИЯ ИНТЕРНАЛЬНИХ ФОРУМОВ В УЧЕБНЫХ ЗАВЕДЕНИЯХ
ФОРМИРОВАНИЕ КОНКУРЕНТОСПОСОБНОЙ ЛИЧНОСТИ СРЕДСТВАМИ ФИЗИЧЕСКОЙ КУЛЬТУРЫ
ФОРМИРОВАНИЕ КОНСТРУКТИВНОЙ ПСИХОЛОГИЧЕСКОЙ ЗАЩИТЫ ЛИЧНОСТИ
ФОРМИРОВАНИЕ КУЛЬТУРНО-ЭСТЕТИЧЕСКОГО ВОСПРИЯТИЯ ЛИЧНОСТИ СРЕДСТВАМИ ТЕАТРАЛЬНОГО ИСКУССТВА
ФОРМИРОВАНИЕ КУЛЬТУРЫ БЕЗОПАСНОСТИ ЛИЧНОСТИ БУДУЩЕГО ПЕДАГОГА В ВУЗЕ НА ОСНОВЕ ЭРГОНОМИЧЕСКОГО ПОДХОДА
ФОРМИРОВАНИЕ ЛИЧНОСТИ БЕЗОПАСНОГО ТИПА ПОВЕДЕНИЯ У ШКОЛЬНИКОВ КАК ОДНО ИЗ УСЛОВИЙ КОМФОРТНОСТИ ОБРАЗОВАТЕЛЬНОЙ СРЕДЫ
ФОРМИРОВАНИЕ ЛИЧНОСТИ БЕЗОПАСНОГО ТИПА ПОДРОСТКА СРЕДСТВАМИ ФИЗИЧЕСКОЙ КУЛЬТУРЫ И СПОРТА В УСЛОВИЯХ ЦЕНТРА ДЕСАНТНИК
ФОРМИРОВАНИЕ ЛИЧНОСТИ РЕБЕНКА В КОНТЕКСТЕ МОРАЛЬНО-ЭТИЧЕСКИХ ПРЕДСТАВЛЕНИЙ
ФОРМИРОВАНИЕ ЛИЧНОСТИ СТУДЕНТА В СИНЕРГЕТИЧЕСКОЙ МОДЕЛИ СТУДЕНЧЕСКОГО САМОУПРАВЛЕНИЯ ВУЗА
ФОРМИРОВАНИЕ ЛИЧНОСТИ УЧАЩЕГОСЯ В ПРОЦЕССЕ ОБУЧЕНИЯ ИНОСТРАННЫМ ЯЗЫКАМ
ФОРМИРОВАНИЕ МОРАЛЬНЫХ КАЧЕСТВ ЛИЧНОСТИ ПОДРОСТКА
ФОРМИРОВАНИЕ НАВЫКОВ ИНОЯЗЫЧНОГО ИНФОРМАТИВНОГО ЧТЕНИЯ ПРОФЕССИОНАЛЬНЫХ И МОРАЛЬНЫХ КАЧЕСТВ ЛИЧНОСТИ СТУДЕНТОВ В КОНТЕКСТЕ ЭМОЦИОНАЛЬНО-СМЫСЛОВОГО ПОДХОДА
ФОРМИРОВАНИЕ НРАВСТВЕННО-ПАТРИОТИЧЕСКОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ КУРСАНТОВ ОБРАЗОВАТЕЛЬНЫХ ОРГАНИЗАЦИЙ МВД РОССИИ В ПРОЦЕССЕ ВОСПИТАТЕЛЬНОЙ ДЕЯТЕЛЬНОСТИ ПЕДАГОГА-КУРАТОРА
ФОРМИРОВАНИЕ НРАВСТВЕННЫХ КАЧЕСТВ ЛИЧНОСТИ В КОНТЕКСТЕ СОВЕРШЕНСТВОВАНИЯ МЕЖЭТНИЧЕСКИХ ОТНОШЕНИЙ
ФОРМИРОВАНИЕ НРАВСТВЕННЫХ ЦЕННОСТЕЙ ЛИЧНОСТИ РЕБЕНКА НА ОСНОВЕ ЗАНЯТИЙ НАРОДНОЙ ХОРЕОГРАФИЕЙ
ФОРМИРОВАНИЕ ОСНОВ ДУХОВНОЙ ЛИЧНОСТИ НА ЭТНОКУЛЬТУРНЫХ ЦЕННОСТЯХ РОДНОГО КРАЯ
ФОРМИРОВАНИЕ ПОЗНАВАТЕЛЬНЫХ УЧЕБНЫХ ДЕЙСТВИЙ КАК ЗАЛОГ УСПЕШНОГО РАЗВИТИЯ ЛИЧНОСТИ ОБУЧАЮЩЕГОСЯ (НА ПРИМЕРЕ ОБУЧЕНИЯ НЕМЕЦКОМУ ЯЗЫКУ КАК ВТОРОМУ ИНОСТРАННОМУ)
ФОРМИРОВАНИЕ ПОЛИЯЗЫКОВОЙ ЛИЧНОСТИ В ПОЛИЛИНГВАЛЬНОМ ПРОСТРАНСТВЕ
ФОРМИРОВАНИЕ ПОНЯТИЯ ПРОФЕССИОНАЛЬНОЕ МИРОВОЗЗРЕНИЕ ЛИЧНОСТИ КАК ТЕОРЕТИЧЕСКАЯ ПРОБЛЕМА: ГЕНЕЗИС И СОВРЕМЕННОЕ СОСТОЯНИЕ
ФОРМИРОВАНИЕ ПРОФЕССИОНАЛЬНО-ПЕДАГОГИЧЕСКОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ БУДУЩЕГО УЧИТЕЛЯ ФИЗИЧЕСКОЙ КУЛЬТУРЫ В ПРОЦЕССЕ ПРАКТИЧЕСКОЙ ДЕЯТЕЛЬНОСТИ
ФОРМИРОВАНИЕ ПРОФЕССИОНАЛЬНОГО САМООПРЕДЕЛЕНИЯ ЛИЧНОСТИ СТУДЕНТОВ
ФОРМИРОВАНИЕ ПРОФЕССИОНАЛЬНОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ СТУДЕНТА В УЧЕБНО-ТВОРЧЕСКОМ ПРОЦЕССЕ ВУЗА КУЛЬТУРЫ
ФОРМИРОВАНИЕ СЕРДЕЧНОГО НАЧАЛА ЛИЧНОСТИ КАК ОСНОВА НРАВСТВЕННОГО ВОСПИТАНИЯ ШКОЛЬНИКА
ФОРМИРОВАНИЕ СОВРЕМЕННОГО СПЕЦИАЛИСТА И ЛИЧНОСТИ В ЦЕЛОМ ЧЕРЕЗ ТЕХНОЛОГИИ ИННОВАЦИОННОГО ОБУЧЕНИЯ
ФОРМИРОВАНИЕ СОДЕРЖАНИЯ КУРСА ИНФОРМАТИКИ В КОНТЕКСТЕ ОБЕСПЕЧЕНИЯ ИНФОРМАЦИОННОЙ БЕЗОПАСНОСТИ ЛИЧНОСТИ
ФОРМИРОВАНИЕ СОЦИАЛЬНО-СУБЪЕКТНОЙ ПОЗИЦИИ ЛИЧНОСТИ В СИСТЕМЕ ПЕДАГОГИЧЕСКОГО СОПРОВОЖДЕНИЯ ОБЩЕСТВЕННОГО ОБЪЕДИНЕНИЯ
ФОРМИРОВАНИЕ СОЦИАЛЬНОЙ КОМПЕТЕНТНОСТИ КАК ОДНОЙ ИЗ ХАРАКТЕРИСТИК ЛИЧНОСТИ ВЫПУСКНИКОВ ПОКОЛЕНИЯ Z-ЦЕНТЕНИАЛОВ С ОГРАНИЧЕННЫМИ ВОЗМОЖНОСТЯМИ ЗДОРОВЬЯ СРЕДСТВАМИ ИНТЕРНЕТ-ПРОСТРАНСТВА
ФОРМИРОВАНИЕ СУБЪЕКТНОЙ ПОЗИЦИИ ЛИЧНОСТИ
ФОРМИРОВАНИЕ ТВОРЧЕСКОЙ ЛИЧНОСТИ ПОДРОСТКОВ В САМОДЕЯТЕЛЬНОМ ХОРЕОГРАФИЧЕСКОМ КОЛЛЕКТИВЕ ПО ИТОГАМ ОПЫТНО-ЭКСПЕРИМЕНТАЛЬНОЙ РАБОТЫ
ФОРМИРОВАНИЕ ТРЕЗВОГО ЗДОРОВОГО ОБРАЗА ЖИЗНИ И ЦЕЛОСТНОГО РАЗВИТИЯ ЛИЧНОСТИ СТУДЕНТОВ
ФОРМИРОВАНИЕ У БУДУЩИХ УЧИТЕЛЕЙ ТОЛЕРАНТНОСТИ КАК КАЧЕСТВА ЛИЧНОСТИ
ФОРМИРОВАНИЕ УСТОЙЧИВОСТИ ЛИЧНОСТИ К ДЕСТРУКТИВНОМУ ИНФОРМАЦИОННОМУ ВОЗДЕЙСТВИЮ В ПРОЦЕССЕ ЕЕ ПРОФЕССИОНАЛИЗАЦИИ В СРЕДНЕМ ПРОФЕССИОНАЛЬНО-ОРИЕНТИРОВАННОМ ОБРАЗОВАТЕЛЬНОМ УЧРЕЖДЕНИИПОСТАНОВКА И СОСТОЯНИЕ РАЗРАБОТАННОСТИ ПРОБЛЕМЫ
ФОРМИРОВАНИЕ ФИЗИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ И ЗДОРОВОГО ОБРАЗА ЖИЗНИ СТУДЕНТА
ФОРМИРОВАНИЕ ФИЗИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ СТУДЕНТОВ
ФОРМИРОВАНИЕ ФИЗИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ СТУДЕНТОВ С ИСПОЛЬЗОВАНИЕМ ОЗДОРОВИТЕЛЬНЫХ ТЕХНОЛОГИЙ
ФОРМИРОВАНИЕ ЦЕННОСТНО-СМЫСЛОВОЙ СФЕРЫ РАЗВИВАЮЩЕЙСЯ ЛИЧНОСТИ
ФОРМИРОВАНИЕ ЭКОЛОГИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ В СИСТЕМЕ ОБРАЗОВАНИЯ
ФОРМИРОВАНИЕ ЭЛИТАРНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ ЛИНГВИСТА-ПЕРЕВОДЧИКА В ПРОЦЕССЕ ОБУЧЕНИЯ ПИСЬМЕННОМУ ПЕРЕВОДУ
ФОРМИРОВАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ ЗАРУБЕЖНОГО СТУДЕНТА В ТЕХНИЧЕСКОМ ВУЗЕ НА ЗАНЯТИЯХ ПО РУССКОМУ ЯЗЫКУ КАК ИНОСТРАННОМУ НА ОСНОВЕ ЯЗЫКА-ПОСРЕДНИКА
ФОРМИРОВАНИЯ ПСИХИЧЕСКИХ КАЧЕСТВ ЛИЧНОСТИ МЛАДШЕГО ШКОЛЬНИКА В ПРОЦЕССЕ ФИЗИЧЕСКОГО ВОСПИТАНИЯ
ФУНКЦИОНАЛЬНАЯ ГРАМОТНОСТЬ КАК ОСНОВА РАЗВИТИЯ ГАРМОНИЧНОЙ ЛИЧНОСТИ В СОВРЕМЕННЫХ УСЛОВИЯХ
ХАРАКТЕРИСТИКА ОСОБЕННОСТЕЙ ЛИЧНОСТИ СТУДЕНТОВ-МЕДИКОВ РЕСПУБЛИКИ САХА (ЯКУТИИ) НА ЭТАПЕ ПРОФЕССИОНАЛЬНОГО СТАНОВЛЕНИЯ
ХАРАКТЕРИСТИКА ЭТАПОВ ДЕСОЦИАЛИЗАЦИИ ЛИЧНОСТИ В ПОЖИЛОМ ВОЗРАСТЕ
ХАРАКТЕРИСТИКИ ИДЕНТИЧНОСТИ ЛИЧНОСТИ СТУДЕНТОВ
ХАРАКТЕРИСТИКИ ИНФОРМАЦИОННОГО ОБРАЗОВАНИЯ ЛИЧНОСТИ И ИХ ВЗАИМОСВЯЗЬ
ХАРАКТЕРИСТИКИ ИСТОРИЧЕСКИХ ЛИЧНОСТЕЙ В СОВРЕМЕННЫХ УЧЕБНИКАХ ИСТОРИИ
ХАРАКТЕРНЫЕ ЧЕРТЫ КОНКУРЕНТОСПОСОБНОЙ ЛИЧНОСТИ
ХУДОЖЕСТВЕННО-ТВОРЧЕСКОЕ РАЗВИТИЕ ЛИЧНОСТИ МУЗЫКАНТА В КОНТЕКСТЕ ТРИАДЫ КОМПОЗИТОР-ИСПОЛНИТЕЛЬ-СЛУШАТЕЛЬ
ЦЕННОСТИ ЛИЧНОСТИ КАК ФАКТОР СПЛОЧЕННОСТИ ВОИНСКОГО КОЛЛЕКТИВА
ЦЕННОСТНО-ДЕЯТЕЛЬНОСТНЫЙ ПОТЕНЦИАЛ СТРАТЕГИИ РАЗВИТИЯ ЛИЧНОСТИ СОВРЕМЕННЫХ ФОРМАТОВ НЕФОРМАЛЬНОГО ОБРАЗОВАНИЯ МОЛОДЕЖИ
ЦЕННОСТНО-ОРИЕНТИРОВАННЫЙ ПОДХОД К ЛИЧНОСТИ ПЕДАГОГА
ЦЕННОСТНО-СМЫСЛОВАЯ НАПРАВЛЕННОСТЬ ЛИЧНОСТИ ОБУЧАЮЩИХСЯ КАК ФАКТОР РАЗВИТИЯ ИХ ЛИЧНОСТНОГО ПОТЕНЦИАЛА
ЦЕННОСТНО-СМЫСЛОВОЙ КОМПОНЕНТ В СТРУКТУРЕ КОНКУРЕНТОСПОСОБНОСТИ ЛИЧНОСТИ СТУДЕНТА
ЦЕННОСТНОЕ САМООПРЕДЕЛЕНИЕ ЛИЧНОСТИ КАК ФЕНОМЕН ОБРАЗОВАТЕЛЬНОЙ ПРАКТИКИ
ЦЕННОСТНЫЕ ОРИЕНТАЦИИ В КОНТЕКСТЕ ЖИЗНЕННОГО ПУТИ ЛИЧНОСТИ В ПЕРИОДЫ РАННЕЙ И СРЕДНЕЙ ВЗРОСЛОСТИ
ЦЕННОСТНЫЕ ОРИЕНТАЦИИ И ПРОФЕССИОНАЛЬНЫЙ ПУТЬ ЛИЧНОСТИ
ЦЕННОСТНЫЕ ОРИЕНТАЦИИ КАК ФАКТОР ФОРМИРОВАНИЯ БАЗОВОЙ КУЛЬТУРЫ ЛИЧНОСТИ
ЦЕННОСТНЫЕ ОРИЕНТАЦИИ ЛИЧНОСТИ КАК МОТИВАЦИЯ ПРИ ВЫБОРЕ ПРОФЕССИИ ВРАЧА-СТОМАТОЛОГА
ЦЕННОСТНЫЕ ОРИЕНТАЦИИ ЛИЧНОСТИ КАК ФАКТОР УДОВЛЕТВОРЕННОСТИ РАЗЛИЧНЫМИ АСПЕКТАМИ ОБУЧЕНИЯ
ЦИФРОВЫЕ КОМПЕТЕНЦИИ В СТРУКТУРЕ КОМПЕТЕНТНОСТНОГО ПОДХОДА СОЦИАЛЬНОГО И ПРОФЕССИОНАЛЬНОГО СТАНОВЛЕНИЯ ЛИЧНОСТИ
ЧЕЛОВЕЧЕСКАЯ ЛИЧНОСТЬ В ЦИФРОВУЮ ЭПОХ ГЛОБАЛЬНЫЕ ВЫЗОВЫ XXI ВЕКА К ЧЕЛОВЕКУ ОБЩЕСТВУ ОБРАЗОВАНИЮ
ЧТЕНИЕ КНИГ КАК ОСНОВА СТАНОВЛЕНИЯ ЛИЧНОСТИ СТУДЕНТА АГРАРНОГО ВУЗА
ЧУВСТВЕННЫЙ ОПЫТ В СТРУКТУРЕ ЛИЧНОСТИ СУБЪЕКТА ОБРАЗОВАНИЯ КАК ОСНОВА ОБУЧЕНИЯ И ВОСПИТАНИЯ
ШАРЛЬ ДЕ ГОЛЛЬ-ОСНОВАТЕЛЬ V РЕСПУБЛИКИ ЛЕГЕНДАРНАЯ ЛИЧНОСТЬ И ПРИМЕР ДЛЯ ПОДРАЖАНИЯ
ШКОЛА КАК ФАКТОР ГУМАНИЗАЦИИ ОБЩЕСТВЕННО-ЭКОНОМИЧЕСКИХ ОТНОШЕНИЙ ФОРМИРОВАНИЯ НОВЫХ ЖИЗНЕННЫХ УСТАНОВОК ЛИЧНОСТИ
ШКОЛЬНЫЙ ТЕАТР-ОБРАЗОВАТЕЛЬНАЯ СРЕДА ДУХОВНО-НРАВСТВЕННОГО ВОСПИТАНИЯ ЛИЧНОСТИ
ЭГОИЗМ ЛИЧНОСТИ КАК ФАКТОР ДЕВИАНТНОГО ПОВЕДЕНИЯ
ЭКЗИСТЕНЦИАЛЬНАЯ ФИЛОСОФИЯ КАК МЕТОДОЛОГИЧЕСКАЯ ОСНОВА ОСМЫСЛЕНИЯ СОСТОЯНИЯ ПОДАВЛЕНИЯ ПЕДАГОГИЧЕСКИХ УСЛОВИЙ СТАНОВЛЕНИЯ ЭКЗИСТЕНЦИАЛЬНОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ СТУДЕНТА ВУЗА
ЭКО-АРТ-ТЕРАПИЯ КАК ФАКТОР ВЛИЯНИЯ НА ФОРМИРОВАНИЕ ЛИЧНОСТИ МЛАДШИХ ШКОЛЬНИКОВ
ЭКОЛОГИЧЕСКАЯ КУЛЬТУРА В СТРУКТУРЕ ЛИЧНОСТИ УЧИТЕЛ ЭКОЛОГИЧЕСКАЯ КУЛЬТУРА ЛИЧНОСТИ УЧАЩИХСЯ КАК ИСТОЧНИК ТРЕБОВАНИЙ К ЭКОЛОГИЧЕСКОЙ КУЛЬТУРЕ УЧИТЕЛЯ
ЭКОЛОГИЧЕСКАЯ КУЛЬТУРА КАК АСПЕКТ СОЦИАЛИЗАЦИИ ЛИЧНОСТИ
ЭКОЛОГИЧЕСКАЯ КУЛЬТУРА ЛИЧНОСТИ : СИСТЕМНО-ДЕЯТЕЛЬНОСТНЫЙ ПОДХОД
ЭКОЛОГИЧЕСКАЯ ОТВЕТСТВЕННОСТЬ ЛИЧНОСТИ В СИСТЕМЕ СОВРЕМЕННЫХ ОБРАЗОВАТЕЛЬНЫХ РЕЗУЛЬТАТОВ
ЭКОЛОГИЧЕСКОЕ МИРОВОЗЗРЕНИЕ КАК ОСНОВА ФОРМИРОВАНИЯ ПРЕДМЕТНО-ПРОСТРАНСТВЕННОЙ СРЕДЫ ЛИЧНОСТИ
ЭКОЛОГИЧЕСКОЕ РАЗВИТИЕ ЛИЧНОСТИ В ПОЛИКУЛЬТУРНОМ ОБЩЕСТВЕ : МЕТОДОЛОГИЧЕСКОЕ ОСНОВАНИЕ
ЭКОЛОГИЧЕСКОЕ РАЗВИТИЕ ЛИЧНОСТИ В ЦИФРОВОМ ОБРАЗОВАНИИ : ПСИХОЛОГО ДИДАКТИЧЕСКИЕ ПРЕДПОСЫЛКИ ПРОЕКТИРОВАНИЯ
ЭКОНОМИЧЕСКАЯ СОЦИАЛИЗАЦИЯ ЛИЧНОСТИ : ОПРЕДЕЛЕНИЕ И СОДЕРЖАНИЕ ПОНЯТИЯ
ЭМОЦИИ КАК СИСТЕМА РЕГУЛИРОВАНИЯ ПОВЕДЕНИЯ ЛИЧНОСТИ
ЭМОЦИОНАЛЬНАЯ УСТОЙЧИВОСТЬ ЛИЧНОСТИ КАК ПСИХОФИЗИОЛОГИЧЕСКАЯ ПРЕДПОСЫЛКА ПРОДУКТИВНОГО ОБЩЕНИЯ
ЭМОЦИОНАЛЬНОЕ ВЫГОРАНИЕ КАК ФАКТОР КОНФЛИКТНОСТИ ЛИЧНОСТИ ПЕДАГОГА
ЭМОЦИОНАЛЬНЫЕ ОСОБЕННОСТИ ПРОФЕССИОНАЛЬНОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ СТУДЕНТОВ ВУЗОВ
ЭМОЦИОНАЛЬНЫЙ АСПЕКТ ЛИЧНОСТИ ПЕДАГОГОВ В СИТУАЦИЯХ ЗАТРУДНЕНИЯ КАК ФАКТОР РАЗВИТИЯ ПЕДАГОГИЧЕСКОЙ ДЕЯТЕЛЬНОСТИ
ЭМОЦИОНАЛЬНЫЙ ИНТЕЛЛЕКТ И ОСОБЕННОСТИ САМОАКТУАЛИЗАЦИИ ЛИЧНОСТИ
ЭПОС КАК ФАКТОР ФОРМИРОВАНИЯ ЭТНИЧЕСКОЙ ИДЕНТИЧНОСТИ ЛИЧНОСТИ (НА ПРИМЕРЕ РЕСПУБЛИКИ МОРДОВИЯ)
ЭСТЕТИЧЕСКАЯ КУЛЬТУРА И СИСТЕМА ЭСТЕТИЧЕСКОГО ВОСПИТАНИЯ ЛИЧНОСТИ
ЭСТЕТИЧЕСКАЯ КУЛЬТУРА ЛИЧНОСТИ И ЕЕ РОЛЬ В ПРОФЕССИОНАЛЬНОЙ ПОДГОТОВКЕ БАКАЛАВРОВ СОЦИАЛЬНО-КУЛЬТУРНОЙ ДЕЯТЕЛЬНОСТИ
ЭСТЕТИЧЕСКАЯ КУЛЬТУРА ЛИЧНОСТИСУЩНОСТЬ ФУНКЦИИ
ЭТИЧЕСКИЙ КОМПОНЕНТ В ФОРМИРОВАНИИ ЛИЧНОСТИ ВРАЧА
ЭТНИЧЕСКАЯ ТОЛЕРАНТНОСТЬ В СФЕРЕ ФОРМИРОВАНИЯ ЦЕННОСТНЫХ ОРИЕНТАЦИЙ ЛИЧНОСТИ
ЭТНОКУЛЬТУРНАЯ ХАРАКТЕРИСТИКА ЯЗЫКОВОЙ ЛИЧНОСТИ СКВОЗЬ ПРИЗМУ ФРАЗЕОЛОГИЧЕСКИХ ЕДИНИЦ РУССКОЯЗЫЧНОЙ И АНГЛОЯЗЫЧНОЙ КУЛЬТУР
ЭТНОКУЛЬТУРНОЕ ОБРАЗОВАНИЕ КАК РЕСУРС ГАРМОНИЗАЦИИ ЭТНИЧЕСКОГО И ГРАЖДАНСКОГО КОМПОНЕНТА В СТРУКТУРЕ ИДЕНТИЧНОСТИ ЛИЧНОСТИ
ЭФФЕКТИВНОСТЬ ПЕДАГОГИЧЕСКИХ УСЛОВИЙ СТАНОВЛЕНИЯ ЭКЗИСТЕНЦИАЛЬНО ЗНАЧИМЫХ КАЧЕСТВ ЛИЧНОСТИ КУРСАНТОВ ОБРАЗОВАТЕЛЬНЫХ ОРГАНИЗАЦИЙ МВД РОССИИ В ПРОЦЕССЕ ИНТЕРАКТИВНОГО ОБУЧЕНИЯ
ЯЗЫКОВАЯ ЛИЧНОСТЬ БИЛИНГВА ПРИ ФОРМИРОВАНИИ ГОТОВНОСТИ К МЕЖКУЛЬТУРНОМУ ОБЩЕНИЮ В ПРОЦЕССЕ ОБУЧЕНИЯ ИНОСТРАННОМУ ЗЫКУ В НЕЯЗЫКОВОМ ВУЗЕ
ЯЗЫКОВАЯ ЛИЧНОСТЬ В АСПЕКТЕ ТЕОРИИ КОГНИТИВНЫХ СТИЛЕЙ
ЯЗЫКОВАЯ ЛИЧНОСТЬ ПОЖАРНОГОКОММУНИКАЦИЯ В УСЛОВИЯХ ЧРЕЗВЫЧАЙНЫХ СИТУАЦИЙ
ЯЗЫКОВАЯ ЛИЧНОСТЬ РЕБЕНКА-ДОШКОЛЬНИКАПРИРОДА СОЦИАЛЬНЫХ МЕТАМОРФОЗ
ЯЗЫКОВАЯ ЛИЧНОСТЬ РУССКОГО ПОЭТА-ЭМИГРАНТА В ОБУЧЕНИИ ЧТЕНИЮ НА ЗАНЯТИЯХ ПО РУССКОМУ ЯЗЫКУ КАК ИНОСТРАННОМУ
ЯРКАЯ ЦЕЛЬНАЯ САМОБЫТНАЯ ЛИЧНОСТЬ .БИОГРАФИЧЕСКИЙ ОЧЕРК
IQDO-СИСТЕМА ГАРМОНИЧНОГО РАЗВИТИЯ ЛИЧНОСТИ ЧЕРЕЗ СИМБИОЗ ФИЗИЧЕСКОЙ И ИНТЕЛЛЕКТУАЛЬНОЙ ПОДГОТОВКИ
```
#Total No. of Collocate Types: 1570
#Total No. of Collocate Tokens: 6486
1 383 102 281 8.34416 в
2 192 99 93 6.44746 личности
3 175 92 83 8.13755 и
4 170 83 87 8.41973 как
5 100 75 25 8.56369 развития
6 84 69 15 8.41308 формирования
7 78 54 24 8.43741 культуры
8 68 28 40 8.35876 к
9 64 27 37 8.10692 на
10 63 41 22 8.46271 формирование
11 57 11 46 8.18081 студентов
12 56 41 15 8.54432 развитие
13 55 31 24 8.55309 особенности
14 51 8 43 8.44416 студента
15 50 15 35 8.34687 процессе
16 45 18 27 8.19487 образования
17 42 20 22 8.23620 деятельности
18 40 28 12 8.20328 профессиональной
19 39 8 31 8.16676 условиях
20 38 19 19 8.42301 физической
21 37 32 5 8.38454 языковой
22 36 21 15 8.49185 о
23 35 25 10 8.61471 фактор
24 34 14 20 8.40939 вуза
25 33 18 15 8.58871 профессионального
26 33 15 18 8.52982 влияние
27 29 9 20 8.34341 педагога
28 28 6 22 8.47721 системе
29 27 9 18 8.42474 роль
30 26 10 16 8.02237 с
31 25 12 13 8.38082 социально
32 25 14 11 8.52521 проблема
33 25 12 13 8.38082 вопросу
34 25 3 22 8.45121 будущего
35 24 19 5 8.46632 формировании
36 24 12 12 9.01381 психологические
37 24 22 2 8.12928 направленности
38 23 15 8 8.56538 духовно
39 22 13 9 8.68182 культура
40 22 15 7 8.19640 воспитания
41 22 13 9 8.50125 воспитание
42 21 17 4 8.52160 становления
43 21 14 7 8.61471 проблемы
44 21 3 18 8.19967 курсантов
45 20 12 8 8.64386 основы
46 20 16 4 8.54432 качества
47 19 13 6 8.56986 профессионально
48 19 4 15 8.37721 контексте
49 18 15 3 8.21175 качеств
50 17 9 8 8.75731 исследование
51 17 6 11 8.75731 взаимосвязь
52 16 3 13 8.54432 учителя
53 16 13 3 8.32193 творческой
54 16 14 2 8.42884 потенциала
55 15 11 4 8.57674 структуре
56 15 5 10 8.71425 специалиста
57 15 11 4 8.57674 социализации
58 15 5 10 8.45121 современных
59 15 11 4 8.45121 самореализации
60 15 12 3 8.45121 развитии
61 15 5 10 8.33573 образовательных
62 15 4 11 7.94871 образовательной
63 15 7 8 8.22882 вузе
64 15 5 10 8.57674 анализ
65 14 6 8 8.47721 современного
66 14 12 2 8.47721 саморазвития
67 13 1 12 7.92283 у
68 13 10 3 8.82972 становлении
69 13 8 5 8.37029 работы
70 13 6 7 7.65980 по
71 13 5 8 8.37029 педагогического
72 13 3 10 8.24476 обучающихся
73 13 4 9 7.37029 личность
74 13 11 2 8.24476 безопасности
75 12 6 6 8.90689 технологии
76 12 6 6 8.71425 пространстве
77 12 6 6 8.39232 понятия
78 12 8 4 8.54432 нравственного
79 12 3 9 8.12928 непрерывного
80 12 6 6 8.71425 мотивации
81 12 6 6 8.39232 изучения
82 12 8 4 8.39232 жизни
83 11 8 3 8.58871 становление
84 11 4 7 8.41879 среде
85 11 4 7 8.78136 содержание
86 11 7 4 8.78136 профессиональное
87 11 8 3 8.58871 профессиональная
88 11 9 2 8.12928 поликультурной
89 11 3 8 8.58871 подход
90 11 2 9 8.41879 подростков
91 11 7 4 8.41879 поведения
92 11 6 5 8.58871 особенностей
93 11 10 1 8.41879 ориентаций
94 11 5 6 8.12928 обучения
95 11 6 5 8.78136 образа
96 11 1 10 8.00375 будущих
97 11 7 4 8.58871 аспект
98 10 6 4 8.28129 эмоционального
99 10 4 6 8.86625 феномен
100 10 5 5 8.86625 учителей
101 10 9 1 8.12928 средство
102 10 4 6 8.28129 реализации
103 10 6 4 8.64386 психологической
104 10 4 6 8.28129 при
105 10 1 9 8.45121 преподавателя
106 10 6 4 8.86625 потенциал
107 10 4 6 8.28129 педагогические
108 10 6 4 8.28129 организации
109 10 9 1 8.45121 конкурентоспособной
110 10 7 3 8.45121 компетентности
111 10 8 2 8.12928 интеллекта
112 10 6 4 8.64386 значение
113 10 7 3 8.64386 воспитании
114 10 7 3 8.12928 аспекты
115 9 7 2 8.71425 ценностных
116 9 6 3 8.71425 типа
117 9 8 1 8.12928 структуры
118 9 7 2 8.12928 спорта
119 9 3 6 7.97728 психолого
120 9 4 5 8.97728 психологический
121 9 6 3 8.49185 пространства
122 9 3 6 8.29921 подготовки
123 9 7 2 8.49185 повышения
124 9 2 7 8.12928 педагогов
125 9 5 4 7.97728 педагогической
126 9 4 5 8.97728 обществе
127 9 6 3 7.97728 модель
128 9 7 2 8.49185 компетентность
129 9 2 7 8.71425 ее
130 8 2 6 7.54432 языка
131 8 5 3 8.54432 человека
132 8 5 3 8.54432 факторы
133 8 5 3 8.54432 уровнем
134 8 1 7 8.12928 средствами
135 8 2 6 8.54432 социальной
136 8 7 1 8.32193 свойств
137 8 3 5 8.80735 рефлексии
138 8 1 7 8.54432 психолога
139 8 3 5 7.66985 примере
140 8 3 5 8.12928 организаций
141 8 2 6 8.12928 образовательном
142 8 5 3 8.32193 образовании
143 8 6 2 8.80735 качество
144 8 8 0 8.32193 вторичной
145 8 1 7 8.80735 военного
146 7 4 3 8.35168 характеристика
147 7 4 3 8.93664 управления
148 7 7 0 7.76671 сферы
149 7 2 5 8.93664 сущность
150 7 0 7 8.35168 современном
151 7 5 2 8.61471 самоактуализации
152 7 2 5 8.12928 психологов
153 7 4 3 8.35168 психологии
154 7 1 6 8.35168 подростка
155 7 1 6 8.35168 педагогическое
156 7 3 4 8.61471 образовательного
157 7 4 3 8.35168 нравственное
158 7 3 4 8.93664 науке
159 7 3 4 8.35168 молодежи
160 7 3 4 8.35168 модели
161 7 5 2 8.93664 механизм
162 7 1 6 7.76671 иностранного
163 7 6 1 8.35168 инновационной
164 7 6 1 8.12928 здоровья
165 7 2 5 7.61471 его
166 7 3 4 8.12928 высшей
167 7 4 3 8.61471 выгорания
168 7 2 5 8.35168 возможности
169 6 5 1 8.12928 характеристик
170 6 4 2 9.12928 тревожности
171 6 4 2 8.39232 творческого
172 6 5 1 7.54432 среды
173 6 4 2 8.71425 способностей
174 6 4 2 8.39232 специфика
175 6 5 1 8.39232 социального
176 6 4 2 8.71425 самореализация
177 6 4 2 9.12928 самоопределение
178 6 3 3 8.39232 пути
179 6 5 1 8.12928 психологического
180 6 5 1 8.39232 психологических
181 6 3 3 9.12928 психологическая
182 6 4 2 8.39232 проблеме
183 6 3 3 8.71425 полиции
184 6 3 3 8.12928 подходы
185 6 3 3 7.54432 подхода
186 6 4 2 8.71425 поддержки
187 6 4 2 8.12928 педагогических
188 6 3 3 8.12928 педагогическая
189 6 0 6 7.90689 обучающегося
190 6 6 0 8.12928 нравственных
191 6 6 0 8.12928 нравственной
192 6 1 5 8.71425 курсанта
193 6 3 3 8.12928 компонент
194 6 3 3 9.12928 коммуникативная
195 6 4 2 8.39232 их
196 6 3 3 8.39232 из
197 6 2 4 8.39232 здорового
198 6 4 2 8.39232 возможностей
199 6 6 0 8.39232 благополучия
200 5 3 2 9.45121 эстетического
201 5 3 2 8.45121 школы
202 5 4 1 8.12928 характеристики
203 5 3 2 8.86625 успешности
204 5 3 2 8.12928 условие
205 5 3 2 8.45121 уровня
206 5 5 0 7.86625 толерантности
207 5 1 4 8.45121 теоретизации
208 5 3 2 8.86625 творческая
209 5 3 2 8.45121 стратегии
210 5 3 2 8.86625 социализация
211 5 4 1 8.45121 составляющей
212 5 4 1 7.86625 сопровождения
213 5 4 1 8.12928 совершенствования
214 5 2 3 8.12928 системы
215 5 4 1 8.45121 свойства
216 5 5 0 8.45121 самостоятельной
217 5 2 3 9.45121 самосознания
218 5 1 4 8.12928 россии
219 5 3 2 8.45121 роли
220 5 2 3 8.12928 ресурс
221 5 2 3 8.45121 психологическое
222 5 3 2 8.45121 процесса
223 5 2 3 8.86625 поликультурного
224 5 4 1 8.12928 позиции
225 5 3 2 8.45121 подходов
226 5 2 3 8.86625 ответственности
227 5 2 3 7.86625 основе
228 5 2 3 8.45121 ориентации
229 5 2 3 8.86625 органов
230 5 3 2 8.45121 опыт
231 5 0 5 7.86625 обучении
232 5 1 4 8.45121 образование
233 5 1 4 7.86625 национальной
234 5 4 1 8.45121 мотивационной
235 5 3 2 8.45121 моделирования
236 5 4 1 8.86625 культурной
237 5 2 3 8.45121 конкурентоспособности
238 5 5 0 8.12928 компетенции
239 5 3 2 8.86625 коллектива
240 5 3 2 8.45121 исследованиях
241 5 4 1 8.12928 исследования
242 5 4 1 8.12928 информационной
243 5 2 3 8.86625 информационного
244 5 2 3 8.12928 информационно
245 5 3 2 8.86625 информационная
246 5 3 2 7.64386 иностранному
247 5 4 1 8.45121 инновационного
248 5 3 2 8.12928 изучение
249 5 3 2 8.86625 значимые
250 5 5 0 8.12928 духовной
251 5 4 1 8.12928 духовного
252 5 5 0 7.86625 для
253 5 4 1 8.45121 деформация
254 5 1 4 8.45121 гуманитарных
255 5 3 2 7.45121 высшего
256 5 2 3 8.12928 врача
257 5 3 2 9.45121 безопасность
258 4 2 2 8.54432 эффективности
259 4 3 1 8.12928 этапе
260 4 2 2 8.54432 эстетическая
261 4 3 1 8.54432 эмоциональной
262 4 2 2 9.12928 экологическая
263 4 2 2 8.54432 часть
264 4 1 3 8.12928 ценностные
265 4 3 1 8.12928 ценностного
266 4 4 0 7.54432 ценностно
267 4 2 2 9.12928 формате
268 4 3 1 8.54432 устойчивости
269 4 3 1 7.80735 условия
270 4 3 1 8.12928 условий
271 4 2 2 9.12928 тренинг
272 4 2 2 8.12928 технологий
273 4 1 3 8.12928 теоретический
274 4 1 3 7.32193 теоретические
275 4 0 4 7.80735 теоретико
276 4 2 2 8.54432 темперамента
277 4 2 2 9.12928 субъектные
278 4 2 2 8.54432 субъектно
279 4 1 3 9.12928 стрессовых
280 4 2 2 9.12928 способности
281 4 1 3 9.12928 спортсмена
282 4 0 4 8.12928 специалистов
283 4 2 2 8.12928 сотрудников
284 4 3 1 8.12928 состояния
285 4 2 2 8.54432 сопровождение
286 4 2 2 8.54432 современные
287 4 1 3 8.12928 система
288 4 2 2 8.54432 саморазвитие
289 4 2 2 9.12928 самооценки
290 4 2 2 8.54432 самоопределения
291 4 1 3 8.12928 рамках
292 4 2 2 9.12928 различия
293 4 3 1 8.54432 проявления
294 4 2 2 8.12928 профессиональных
295 4 1 3 8.54432 принципы
296 4 1 3 9.12928 представителей
297 4 2 2 9.12928 перспективы
298 4 2 2 8.54432 оценки
299 4 2 2 8.12928 основа
300 4 3 1 8.12928 основ
301 4 2 2 9.12928 обеспечение
302 4 1 3 7.80735 научно
303 4 2 2 9.12928 наук
304 4 3 1 9.12928 надежности
305 4 0 4 8.12928 музыканта
306 4 2 2 8.54432 музыкальной
307 4 3 1 8.12928 морально
308 4 3 1 9.12928 моделирование
309 4 1 3 8.54432 мира
310 4 3 1 8.12928 межкультурной
311 4 2 2 9.12928 личностно
312 4 2 2 8.54432 культуре
313 4 2 2 8.12928 концепции
314 4 3 1 8.54432 коммуникации
315 4 3 1 8.54432 коммуникативной
316 4 2 2 9.12928 коллективе
317 4 2 2 8.54432 истории
318 4 2 2 8.54432 искусства
319 4 2 2 8.12928 интернет
320 4 2 2 9.12928 индивидуальность
321 4 3 1 8.54432 индивидуально
322 4 4 0 8.12928 идентичности
323 4 4 0 9.12928 идеале
324 4 3 1 9.12928 значимое
325 4 4 0 8.54432 значимого
326 4 1 3 8.54432 за
327 4 4 0 8.12928 жизненного
328 4 3 1 8.54432 духовных
329 4 2 2 9.12928 диагностика
330 4 3 1 8.54432 гармоничное
331 4 2 2 9.12928 временной
332 4 2 2 8.54432 воспитательная
333 4 1 3 8.12928 возрасте
334 4 2 2 8.54432 военно
335 4 2 2 8.12928 взаимосвязи
336 4 2 2 7.80735 аспекте
337 3 2 1 6.90689 языку
338 3 0 3 8.12928 юношеском
339 3 2 1 8.12928 этнокультурных
340 3 2 1 8.71425 этнокультурной
341 3 2 1 8.71425 эстетической
342 3 1 2 8.12928 эпоху
343 3 2 1 8.71425 эмоциональный
344 3 2 1 8.71425 экономического
345 3 2 1 8.71425 экологической
346 3 2 1 8.71425 экологического
347 3 1 2 8.71425 шахматиста
348 3 2 1 8.71425 черты
349 3 0 3 8.12928 через
350 3 3 0 8.12928 цикла
351 3 1 2 8.12928 ценностей
352 3 1 2 8.71425 цель
353 3 1 2 8.71425 художника
354 3 1 2 8.71425 формы
355 3 1 2 8.71425 философский
356 3 1 2 8.12928 физическое
357 3 1 2 8.12928 физического
358 3 2 1 7.71425 учетом
359 3 1 2 8.71425 учет
360 3 1 2 7.71425 учебных
361 3 0 3 8.12928 учебной
362 3 1 2 8.71425 участников
363 3 1 2 8.12928 управленческой
364 3 2 1 8.12928 трансформация
365 3 1 2 7.71425 трансформации
366 3 3 0 8.71425 толерантной
367 3 2 1 8.12928 технология
368 3 1 2 9.71425 теориях
369 3 1 2 8.71425 теоретизация
370 3 1 2 8.71425 творческом
371 3 0 3 8.71425 счет
372 3 2 1 8.71425 субъектность
373 3 2 1 8.71425 субъектности
374 3 3 0 8.71425 субъективного
375 3 0 3 8.12928 студенческой
376 3 1 2 8.71425 среда
377 3 2 1 8.12928 спорте
378 3 0 3 8.12928 специальностей
379 3 1 2 8.12928 социокультурном
380 3 2 1 8.71425 социальный
381 3 2 1 8.71425 социальная
382 3 0 3 8.12928 сотрудника
383 3 2 1 8.71425 создания
384 3 1 2 8.12928 содержания
385 3 0 3 8.12928 современной
386 3 3 0 7.71425 смысловых
387 3 2 1 8.71425 саморегуляции
388 3 0 3 7.71425 русского
389 3 1 2 8.71425 руководителя
390 3 2 1 8.12928 реализация
391 3 2 1 8.12928 психического
392 3 0 3 8.12928 проявление
393 3 1 2 8.71425 профиля
394 3 1 2 8.71425 профилактики
395 3 1 2 8.71425 профессионала
396 3 0 3 7.71425 профессии
397 3 1 2 9.71425 приемного
398 3 0 3 8.12928 предпосылки
399 3 3 0 8.12928 правовой
400 3 1 2 9.71425 поле
401 3 1 2 8.71425 подготовка
402 3 2 1 8.71425 перевода
403 3 1 2 7.71425 педагогический
404 3 3 0 8.71425 патриотической
405 3 2 1 8.71425 отраслевой
406 3 2 1 8.71425 ответственность
407 3 2 1 8.12928 организация
408 3 2 1 8.71425 определения
409 3 1 2 8.12928 определение
410 3 2 1 8.71425 области
411 3 2 1 8.71425 некоторые
412 3 1 2 8.71425 науки
413 3 3 0 7.71425 мышления
414 3 2 1 8.71425 музыкального
415 3 0 3 8.71425 мотивация
416 3 1 2 8.71425 мотивационный
417 3 2 1 8.12928 механизмы
418 3 1 2 8.71425 методологическое
419 3 0 3 7.71425 методологические
420 3 2 1 8.71425 метод
421 3 3 0 8.12928 метакогнитивной
422 3 0 3 8.12928 медицинского
423 3 2 1 8.71425 куратора
424 3 1 2 8.71425 концепт
425 3 2 1 8.71425 конфликтности
426 3 2 1 9.71425 конкуренции
427 3 3 0 8.12928 компоненты
428 3 1 2 8.71425 компетентностной
429 3 1 2 7.39232 категория
430 3 2 1 8.71425 исследовании
431 3 2 1 8.71425 искусств
432 3 1 2 8.12928 института
433 3 1 2 7.71425 иноязычной
434 3 3 0 8.71425 имиджа
435 3 1 2 8.71425 или
436 3 0 3 8.12928 изучении
437 3 2 1 8.71425 идентичность
438 3 1 2 8.12928 зарубежных
439 3 1 2 8.71425 занятий
440 3 1 2 8.71425 задачи
441 3 0 3 8.12928 её
442 3 3 0 8.71425 духовном
443 3 1 2 8.71425 деятельностно
444 3 1 2 8.71425 гуманистического
445 3 1 2 8.12928 глобализации
446 3 2 1 9.71425 гармонизации
447 3 0 3 8.12928 выборе
448 3 1 2 7.71425 вузов
449 3 1 2 8.71425 воспитателя
450 3 3 0 7.71425 волевых
451 3 0 3 7.39232 войск
452 3 1 2 8.71425 военнослужащего
453 3 1 2 8.12928 во
454 3 1 2 8.71425 внеаудиторной
455 3 2 1 8.71425 важные
456 3 3 0 8.71425 базовой
457 3 3 0 8.12928 активности
458 3 1 2 8.71425 адаптивно
459 3 1 2 9.71425 авторских
460 2 1 1 9.12928 языковая
461 2 0 2 9.12928 ядро
462 2 0 2 8.12928 юридического
463 2 1 1 9.12928 юношеского
464 2 0 2 9.12928 этнопедагогический
465 2 1 1 9.12928 этнический
466 2 1 1 9.12928 этической
467 2 1 1 9.12928 эмпатийных
468 2 2 0 8.12928 эмпатии
469 2 2 0 8.12928 эмоциональных
470 2 2 0 9.12928 эмоциональности
471 2 1 1 9.12928 элитарной
472 2 0 2 9.12928 элемент
473 2 1 1 9.12928 экономической
474 2 1 1 9.12928 экзистенциальных
475 2 1 1 7.54432 школе
476 2 1 1 9.12928 школ
477 2 1 1 8.12928 чтения
478 2 2 0 8.12928 человек
479 2 1 1 9.12928 чаттертон
480 2 1 1 9.12928 цифровизации
481 2 1 1 9.12928 целостности
482 2 2 0 8.12928 целостной
483 2 2 0 9.12928 целеполагания
484 2 2 0 9.12928 художественном
485 2 1 1 8.12928 художественного
486 2 1 1 7.54432 художественно
487 2 1 1 9.12928 хомяков
488 2 1 1 9.12928 характерологических
489 2 1 1 9.12928 характерные
490 2 2 0 9.12928 характеристиках
491 2 1 1 9.12928 фсин
492 2 1 1 9.12928 флуктуации
493 2 1 1 9.12928 физическую
494 2 1 1 9.12928 физическом
495 2 1 1 7.54432 физическая
496 2 1 1 9.12928 феноменология
497 2 2 0 6.80735 федерации
498 2 2 0 7.54432 фактора
499 2 1 1 9.12928 учёт
500 2 1 1 9.12928 учение
501 2 1 1 8.12928 учебном
502 2 1 1 7.54432 установок
503 2 2 0 8.12928 успешного
504 2 1 1 8.12928 успеха
505 2 1 1 9.12928 успеваемость
506 2 1 1 9.12928 услуг
507 2 1 1 9.12928 уроках
508 2 1 1 9.12928 уровней
509 2 1 1 9.12928 трудового
510 2 1 1 9.12928 трудности
511 2 1 1 9.12928 триады
512 2 1 1 9.12928 тренера
513 2 1 1 9.12928 тревожность
514 2 0 2 9.12928 трансфессионала
515 2 1 1 9.12928 толстого
516 2 1 1 8.12928 толерантность
517 2 2 0 9.12928 товарных
518 2 1 1 9.12928 типы
519 2 1 1 7.12928 техническом
520 2 0 2 9.12928 территориальных
521 2 1 1 8.12928 теория
522 2 1 1 9.12928 теориидодонова
523 2 1 1 8.12928 теории
524 2 1 1 9.12928 тексты
525 2 1 1 9.12928 творческий
526 2 1 1 9.12928 тактика
527 2 1 1 8.12928 сфере
528 2 1 1 9.12928 сфера
529 2 1 1 9.12928 сущностные
530 2 0 2 8.12928 сущностная
531 2 1 1 9.12928 существенный
532 2 1 1 9.12928 суворовцев
533 2 2 0 8.12928 субъектной
534 2 0 2 8.12928 субъекта
535 2 1 1 9.12928 студенчестве
536 2 1 1 9.12928 структурной
537 2 1 1 7.54432 структурно
538 2 0 2 8.12928 структура
539 2 1 1 9.12928 стрессоустойчивости
540 2 1 1 9.12928 стратегий
541 2 2 0 9.12928 сторон
542 2 1 1 9.12928 стимулировании
543 2 2 0 9.12928 способа
544 2 0 2 8.12928 спортсменов
545 2 2 0 8.12928 спортом
546 2 1 1 8.12928 спортивной
547 2 0 2 7.54432 спортивного
548 2 1 1 9.12928 спорстменов
549 2 1 1 9.12928 социуме
550 2 1 1 9.12928 социопатия
551 2 1 1 8.12928 социокультурный
552 2 1 1 9.12928 социокультурной
553 2 1 1 9.12928 социокультурное
554 2 1 1 9.12928 социо
555 2 2 0 7.54432 социальных
556 2 1 1 9.12928 социальными
557 2 1 1 8.12928 социальнопсихологической
558 2 1 1 8.12928 социальнопсихологического
559 2 1 1 9.12928 социальнокультурного
560 2 1 1 9.12928 сохранении
561 2 1 1 9.12928 составляющие
562 2 1 1 9.12928 сопротивляемости
563 2 2 0 7.54432 сознания
564 2 1 1 9.12928 содержательная
565 2 1 1 9.12928 содействие
566 2 0 2 8.12928 современность
567 2 0 2 8.12928 современное
568 2 1 1 9.12928 совладеющего
569 2 1 1 9.12928 совершенствование
570 2 0 2 7.54432 со
571 2 2 0 8.12928 смысложизненных
572 2 2 0 8.12928 смысловой
573 2 1 1 9.12928 службы
574 2 1 1 9.12928 сложившаяся
575 2 0 2 8.12928 склонность
576 2 0 2 8.12928 ситуациях
577 2 1 1 9.12928 ситуация
578 2 1 1 9.12928 ситуаций
579 2 1 1 9.12928 ситуативной
580 2 1 1 9.12928 систему
581 2 0 2 8.12928 системный
582 2 0 2 8.12928 синергетической
583 2 0 2 9.12928 сетевом
584 2 1 1 9.12928 семьи
585 2 1 1 9.12928 семантики
586 2 1 1 9.12928 севера
587 2 1 1 8.12928 связи
588 2 1 1 9.12928 свойство
589 2 0 2 8.12928 саногенной
590 2 1 1 9.12928 самостоятельность
591 2 1 1 9.12928 самораскрытия
592 2 2 0 9.12928 саморазвивающейся
593 2 1 1 8.12928 самоотношения
594 2 1 1 9.12928 самоорганизацию
595 2 1 1 8.12928 самовоспитания
596 2 1 1 9.12928 самовоспитанию
597 2 1 1 9.12928 самоанализа
598 2 1 1 9.12928 самоактуализация
599 2 1 1 9.12928 рухани
600 2 0 2 9.12928 руководителей
601 2 1 1 6.54432 российской
602 2 1 1 8.12928 российское
603 2 1 1 9.12928 романеакройда
604 2 1 1 9.12928 ролевое
605 2 1 1 9.12928 родителя
606 2 1 1 9.12928 родителей
607 2 1 1 9.12928 рефлексивные
608 2 2 0 8.12928 рефлексивности
609 2 1 1 9.12928 рефлексивно
610 2 1 1 9.12928 реконструкции
611 2 1 1 9.12928 результатов
612 2 1 1 9.12928 результат
613 2 0 2 8.12928 разным
614 2 1 1 9.12928 различной
615 2 2 0 8.12928 развитию
616 2 2 0 9.12928 развивающейся
617 2 0 2 8.12928 работе
618 2 1 1 7.54432 работа
619 2 1 1 9.12928 психодинамических
620 2 1 1 9.12928 психика
621 2 1 1 9.12928 профиль
622 2 1 1 9.12928 профессиональному
623 2 1 1 8.12928 профессиональном
624 2 1 1 9.12928 профессионализация
625 2 2 0 8.12928 пространство
626 2 1 1 8.12928 просоциального
627 2 1 1 9.12928 прокрастинации
628 2 1 1 9.12928 проектирования
629 2 0 2 7.54432 проектирование
630 2 1 1 9.12928 продуктивных
631 2 0 2 9.12928 продуктивному
632 2 1 1 9.12928 программы
633 2 1 1 9.12928 программе
634 2 2 0 8.12928 программ
635 2 1 1 9.12928 прогноза
636 2 1 1 9.12928 проблематизации
637 2 1 1 9.12928 природной
638 2 1 1 9.12928 приоритетных
639 2 1 1 9.12928 применения
640 2 1 1 9.12928 преподавателей
641 2 0 2 8.12928 преподавания
642 2 1 1 9.12928 преодоления
643 2 1 1 9.12928 преодолении
644 2 1 1 9.12928 преодолевать
645 2 1 1 9.12928 представлений
646 2 1 1 8.12928 представление
647 2 1 1 9.12928 предрасположенность
648 2 0 2 8.12928 предпринимательской
649 2 1 1 9.12928 предпринимательских
650 2 1 1 9.12928 практического
651 2 1 1 9.12928 правоохранительных
652 2 0 2 9.12928 поэтаэмигранта
653 2 2 0 8.12928 потребности
654 2 2 0 8.12928 потребностей
655 2 1 1 9.12928 постиндустриальном
656 2 1 1 9.12928 пословиц
657 2 0 2 8.12928 понятие
658 2 2 0 8.12928 полиязыковой
659 2 1 1 9.12928 политическом
660 2 1 1 9.12928 полимодальности
661 2 1 1 9.12928 полилингвокультурном
662 2 1 1 9.12928 полилингвальном
663 2 1 1 9.12928 полезной
664 2 1 1 9.12928 показатель
665 2 1 1 8.12928 показатели
666 2 1 1 9.12928 подсознания
667 2 1 1 9.12928 подготовку
668 2 1 1 9.12928 поговорок
669 2 1 1 9.12928 побудительный
670 2 1 1 9.12928 перспектива
671 2 1 1 9.12928 педагогическим
672 2 0 2 8.12928 педагогически
673 2 1 1 9.12928 педагогичекой
674 2 1 1 8.12928 педагогике
675 2 1 1 9.12928 педагогика
676 2 1 1 9.12928 патриотическое
677 2 1 1 9.12928 патентно
678 2 1 1 9.12928 отрасли
679 2 1 1 9.12928 отношений
680 2 0 2 8.12928 отечественной
681 2 1 1 9.12928 осуществлению
682 2 1 1 9.12928 основных
683 2 1 1 8.12928 основные
684 2 1 1 9.12928 основание
685 2 0 2 7.54432 осмысления
686 2 1 1 9.12928 организованной
687 2 2 0 7.12928 оптимизации
688 2 1 1 9.12928 опасными
689 2 1 1 9.12928 одной
690 2 1 1 7.54432 ограниченными
691 2 1 1 9.12928 объективного
692 2 1 1 8.12928 объединения
693 2 1 1 9.12928 общественного
694 2 1 1 8.12928 общения
695 2 1 1 9.12928 общении
696 2 1 1 9.12928 общем
697 2 1 1 9.12928 общей
698 2 1 1 9.12928 обуславливающие
699 2 1 1 9.12928 образовательные
700 2 1 1 9.12928 образовательная
701 2 2 0 8.12928 обеспечения
702 2 1 1 9.12928 об
703 2 1 1 9.12928 нравственные
704 2 2 0 8.12928 нравственном
705 2 1 1 9.12928 новом
706 2 2 0 8.12928 непрерывном
707 2 1 1 8.12928 начального
708 2 1 1 9.12928 научный
709 2 1 1 8.12928 наставничество
710 2 1 1 9.12928 направленность
711 2 0 2 8.12928 навыков
712 2 1 1 9.12928 наблюдательность
713 2 1 1 8.12928 мотивационно
714 2 2 0 8.12928 моральных
715 2 1 1 9.12928 моральная
716 2 1 1 9.12928 модульной
717 2 1 1 9.12928 мифологическая
718 2 1 1 9.12928 мировом
719 2 1 1 9.12928 мировоззрение
720 2 1 1 9.12928 микроблога
721 2 1 1 9.12928 методы
722 2 1 1 9.12928 методология
723 2 0 2 7.54432 методологический
724 2 1 1 9.12928 методические
725 2 1 1 8.12928 методико
726 2 0 2 8.12928 методика
727 2 1 1 9.12928 межэтнических
728 2 1 1 9.12928 межнационального
729 2 1 1 9.12928 медиаобразования
730 2 0 2 7.54432 мвд
731 2 1 1 9.12928 математики
732 2 1 1 9.12928 маска
733 2 1 1 9.12928 маркетинга
734 2 1 1 8.12928 культурой
735 2 1 1 9.12928 кружок
736 2 1 1 9.12928 критерия
737 2 1 1 8.12928 критерии
738 2 1 1 9.12928 кризиса
739 2 1 1 9.12928 креативности
740 2 1 1 9.12928 концепция
741 2 1 1 9.12928 концептосферы
742 2 1 1 8.12928 конструкт
743 2 1 1 9.12928 конкурентоспособная
744 2 1 1 9.12928 композитор
745 2 1 1 9.12928 компетенция
746 2 1 1 9.12928 компетентностный
747 2 1 1 9.12928 компетентностном
748 2 2 0 8.12928 коммуникативных
749 2 1 1 9.12928 классификация
750 2 1 1 9.12928 историй
751 2 1 1 8.12928 исследовательской
752 2 0 2 8.12928 использованием
753 2 0 2 8.12928 использование
754 2 1 1 9.12928 исполнительства
755 2 1 1 9.12928 исполнительной
756 2 1 1 9.12928 искусстве
757 2 1 1 9.12928 инфраструктуры
758 2 1 1 9.12928 информационных
759 2 0 2 8.12928 информационном
760 2 1 1 8.12928 интерпретации
761 2 1 1 9.12928 интегральное
762 2 2 0 8.12928 инструмента
763 2 0 2 8.12928 иноязычного
764 2 1 1 9.12928 инофонов
765 2 1 1 9.12928 инклюзивного
766 2 1 1 9.12928 инициативность
767 2 1 1 9.12928 индивидуальные
768 2 1 1 8.12928 индивидуальности
769 2 1 1 9.12928 изучению
770 2 1 1 9.12928 изменение
771 2 1 1 9.12928 изложения
772 2 1 1 9.12928 иерархическая
773 2 1 1 9.12928 идентификации
774 2 1 1 9.12928 зрелом
775 2 1 1 9.12928 значимость
776 2 2 0 9.12928 звене
777 2 1 1 9.12928 зарубежные
778 2 1 1 9.12928 занятости
779 2 1 1 9.12928 замещающего
780 2 1 1 8.12928 залог
781 2 1 1 9.12928 закономерности
782 2 1 1 9.12928 задач
783 2 1 1 9.12928 зависти
784 2 0 2 8.12928 заведений
785 2 1 1 9.12928 заведении
786 2 1 1 9.12928 жизнестойкости
787 2 1 1 9.12928 женской
788 2 1 1 9.12928 жаңғыру
789 2 1 1 9.12928 единство
790 2 1 1 9.12928 единоборцев
791 2 2 0 8.12928 духовность
792 2 1 1 9.12928 духовности
793 2 1 1 9.12928 достижения
794 2 0 2 7.54432 дополнительного
795 2 1 1 9.12928 доверие
796 2 1 1 9.12928 дифференциальные
797 2 1 1 9.12928 дисциплинированности
798 2 1 1 7.54432 дисциплин
799 2 1 1 9.12928 дискурсе
800 2 1 1 9.12928 дизайнобразование
801 2 1 1 8.12928 деятельность
802 2 2 0 8.12928 деформации
803 2 1 1 9.12928 детерминанты
804 2 1 1 9.12928 деструктивные
805 2 1 1 9.12928 девиациями
806 2 2 0 8.12928 гуманитарного
807 2 1 1 9.12928 гуманистической
808 2 1 1 9.12928 гуманистические
809 2 1 1 9.12928 группы
810 2 2 0 9.12928 групповой
811 2 1 1 9.12928 группа
812 2 0 2 7.54432 гражданина
813 2 0 2 9.12928 госслужащего
814 2 1 1 9.12928 гендерные
815 2 1 1 9.12928 гг
816 2 0 2 6.80735 гвардии
817 2 2 0 8.12928 гармоничного
818 2 1 1 9.12928 гармонизация
819 2 1 1 9.12928 газодымозащитной
820 2 0 2 8.12928 высших
821 2 2 0 9.12928 высоконравственной
822 2 1 1 9.12928 высоким
823 2 1 1 9.12928 выражение
824 2 0 2 8.12928 выпускников
825 2 0 2 8.12928 выбора
826 2 1 1 9.12928 всестороннего
827 2 1 1 9.12928 временная
828 2 1 1 8.12928 времени
829 2 1 1 9.12928 восстановление
830 2 1 1 9.12928 возраста
831 2 1 1 7.54432 возможностями
832 2 1 1 9.12928 возможность
833 2 1 1 9.12928 воздействия
834 2 1 1 8.12928 внеурочной
835 2 1 1 9.12928 видеолекции
836 2 1 1 9.12928 вид
837 2 0 2 9.12928 взрослых
838 2 1 1 9.12928 взгляды
839 2 1 1 8.12928 взаимодействия
840 2 1 1 9.12928 вера
841 2 1 1 9.12928 веков
842 2 1 1 9.12928 боевых
843 2 1 1 9.12928 биологии
844 2 0 2 8.12928 безопасного
845 2 0 2 8.12928 бакалавров
846 2 1 1 9.12928 базовый
847 2 1 1 9.12928 атрибуция
848 2 1 1 9.12928 аспектов
849 2 1 1 9.12928 асоциальность
850 2 1 1 9.12928 артпедагогики
851 2 1 1 9.12928 антропологическое
852 2 1 1 9.12928 антимода
853 2 1 1 9.12928 антидопинговая
854 2 1 1 9.12928 англоязычном
855 2 2 0 8.12928 английского
856 2 1 1 9.12928 аналитических
857 2 1 1 8.12928 анализа
858 2 1 1 8.12928 актуальные
859 2 1 1 9.12928 актерскому
860 2 1 1 9.12928 аксиология
861 2 1 1 9.12928 акмеологическое
862 2 1 1 9.12928 адаптивности
863 2 1 1 9.12928 авторитете
864 2 1 1 9.12928 авиационного
865 2 1 1 9.12928 xixxx
866 2 1 1 8.12928 smart
867 1 0 1 8.12928 якутии
868 1 0 1 7.12928 языковых
869 1 1 0 8.12928 языков
870 1 0 1 8.12928 языкав
871 1 1 0 7.12928 язык
872 1 0 1 8.12928 ядова
873 1 0 1 8.12928 явление
874 1 0 1 8.12928 юристов
875 1 0 1 8.12928 юных
876 1 0 1 8.12928 эффективной
877 1 1 0 8.12928 эффективного
878 1 1 0 8.12928 этнопедагогики
879 1 1 0 8.12928 этнокультурная
880 1 1 0 8.12928 этнической
881 1 0 1 8.12928 этническая
882 1 0 1 8.12928 этим
883 1 1 0 8.12928 этап
884 1 1 0 8.12928 эргономического
885 1 0 1 8.12928 эмоционально
886 1 0 1 8.12928 элективным
887 1 0 1 8.12928 экстремизма
888 1 0 1 8.12928 экономических
889 1 1 0 8.12928 экономическая
890 1 1 0 8.12928 экологическое
891 1 1 0 8.12928 экзистенциальной
892 1 0 1 8.12928 экзистенциальная
893 1 0 1 8.12928 что
894 1 0 1 8.12928 чтению
895 1 1 0 8.12928 черт
896 1 1 0 8.12928 человеку
897 1 1 0 8.12928 части
898 1 0 1 8.12928 цифровом
899 1 0 1 8.12928 цифрового
900 1 1 0 8.12928 цифровая
901 1 1 0 8.12928 центров
902 1 0 1 8.12928 центениалов
903 1 0 1 8.12928 ценностях
904 1 1 0 8.12928 ценностями
905 1 0 1 8.12928 ценностный
906 1 1 0 8.12928 ценностной
907 1 1 0 8.12928 ценностная
908 1 1 0 8.12928 ценности
909 1 1 0 8.12928 целью
910 1 1 0 8.12928 цельности
911 1 1 0 8.12928 целостного
912 1 0 1 8.12928 целом
913 1 1 0 8.12928 цели
914 1 1 0 8.12928 целенаправленного
915 1 0 1 8.12928 хореографов
916 1 0 1 8.12928 хореографическом
917 1 0 1 8.12928 хореографического
918 1 1 0 8.12928 холокоста
919 1 0 1 8.12928 характерная
920 1 1 0 8.12928 функциональных
921 1 1 0 8.12928 функциональности
922 1 1 0 8.12928 функциональной
923 1 0 1 7.12928 функции
924 1 0 1 8.12928 форумов
925 1 0 1 8.12928 формообразования
926 1 1 0 8.12928 формированию
927 1 0 1 8.12928 форматов
928 1 0 1 8.12928 философская
929 1 0 1 8.12928 философия
930 1 0 1 8.12928 философии
931 1 0 1 8.12928 физкультурно
932 1 0 1 8.12928 физике
933 1 1 0 8.12928 фасилитация
934 1 0 1 7.12928 факультета
935 1 0 1 8.12928 факультативного
936 1 0 1 8.12928 ушинского
937 1 0 1 8.12928 учреждений
938 1 0 1 8.12928 училища
939 1 1 0 8.12928 ученый
940 1 0 1 8.12928 ученого
941 1 0 1 8.12928 учебно
942 1 0 1 8.12928 учащихся
943 1 0 1 8.12928 усвоения
944 1 1 0 8.12928 уровнями
945 1 0 1 8.12928 уровни
946 1 1 0 8.12928 уровень
947 1 1 0 8.12928 упражнений
948 1 0 1 8.12928 упражнение
949 1 0 1 8.12928 управленческого
950 1 0 1 8.12928 уподобление
951 1 0 1 8.12928 универсальный
952 1 1 0 8.12928 универсальное
953 1 0 1 8.12928 универсальная
954 1 0 1 8.12928 умение
955 1 1 0 8.12928 угроз
956 1 0 1 8.12928 уголовно
957 1 0 1 8.12928 трудным
958 1 0 1 8.12928 трудновоспитуемыми
959 1 0 1 8.12928 трудах
960 1 1 0 8.12928 труда
961 1 0 1 8.12928 трехъязычного
962 1 1 0 8.12928 трех
963 1 0 1 8.12928 тренинга
964 1 0 1 8.12928 трезвого
965 1 1 0 8.12928 транспрофессиональных
966 1 0 1 8.12928 традиций
967 1 1 0 8.12928 толерантными
968 1 1 0 8.12928 толерантное
969 1 1 0 8.12928 типологических
970 1 0 1 8.12928 типологический
971 1 0 1 8.12928 техносферной
972 1 1 0 8.12928 технической
973 1 0 1 8.12928 технического
974 1 0 1 8.12928 терминологии
975 1 1 0 8.12928 теоретическом
976 1 1 0 8.12928 теоретических
977 1 0 1 8.12928 темпоральные
978 1 0 1 8.12928 тем
979 1 0 1 8.12928 телевизионного
980 1 0 1 8.12928 текстахокуджавы
981 1 1 0 7.12928 творчества
982 1 1 0 8.12928 творческое
983 1 1 0 8.12928 творческих
984 1 0 1 8.12928 также
985 1 0 1 8.12928 таджикских
986 1 1 0 8.12928 сферой
987 1 0 1 8.12928 сущности
988 1 0 1 8.12928 существующих
989 1 0 1 8.12928 субъективной
990 1 0 1 8.12928 субъект
991 1 1 0 8.12928 субстрата
992 1 0 1 8.12928 студенческом
993 1 0 1 8.12928 студенческого
994 1 0 1 8.12928 студенческий
995 1 0 1 8.12928 студентами
996 1 1 0 8.12928 структурная
997 1 1 0 8.12928 страница
998 1 0 1 8.12928 старших
999 1 0 1 8.12928 стажем
1000 1 1 0 8.12928 средств
1001 1 0 1 8.12928 средней
1002 1 0 1 8.12928 сравнения
1003 1 1 0 8.12928 способ
1004 1 0 1 8.12928 спортивном
1005 1 0 1 8.12928 спортивно
1006 1 1 0 8.12928 спорт
1007 1 0 1 8.12928 сплоченности
1008 1 0 1 8.12928 спецификации
1009 1 0 1 7.12928 специальности
1010 1 1 0 8.12928 социологического
1011 1 0 1 8.12928 социокультурных
1012 1 1 0 7.12928 социокультурные
1013 1 1 0 8.12928 социокультурного
1014 1 0 1 8.12928 социальные
1015 1 1 0 8.12928 социальнотворческой
1016 1 1 0 8.12928 социальнопсихологических
1017 1 1 0 8.12928 социальнопсихологические
1018 1 0 1 8.12928 социальнокультурной
1019 1 0 1 8.12928 социальное
1020 1 1 0 8.12928 сотрудничества
1021 1 1 0 8.12928 составляющая
1022 1 0 1 8.12928 состав
1023 1 0 1 8.12928 соотношение
1024 1 0 1 8.12928 создание
1025 1 1 0 8.12928 содержательный
1026 1 0 1 8.12928 совершенствовании
1027 1 0 1 8.12928 смысложизненные
1028 1 0 1 7.12928 смыслодидактики
1029 1 0 1 8.12928 смыслового
1030 1 0 1 8.12928 смены
1031 1 1 0 8.12928 слушатель
1032 1 0 1 8.12928 скрывается
1033 1 0 1 8.12928 склонных
1034 1 0 1 8.12928 склонностью
1035 1 0 1 8.12928 ситуациям
1036 1 0 1 7.12928 синергетического
1037 1 0 1 8.12928 синергетические
1038 1 0 1 7.12928 синдрома
1039 1 0 1 8.12928 синдром
1040 1 1 0 8.12928 силы
1041 1 0 1 8.12928 сетевой
1042 1 0 1 8.12928 сервиса
1043 1 1 0 8.12928 семейного
1044 1 1 0 8.12928 связь
1045 1 1 0 8.12928 связей
1046 1 0 1 8.12928 свобода
1047 1 0 1 8.12928 светском
1048 1 0 1 8.12928 саха
1049 1 1 0 8.12928 самоуправления
1050 1 0 1 8.12928 самость
1051 1 0 1 8.12928 самостоятельная
1052 1 1 0 8.12928 самосовершенствование
1053 1 1 0 8.12928 самореализацию
1054 1 0 1 8.12928 саморазвитию
1055 1 1 0 7.12928 саморазвитии
1056 1 1 0 8.12928 самооценку
1057 1 1 0 8.12928 самооценка
1058 1 1 0 8.12928 самоотношением
1059 1 1 0 8.12928 самоорганизации
1060 1 1 0 8.12928 самоопределяющий
1061 1 1 0 8.12928 самоопределению
1062 1 1 0 8.12928 самообразование
1063 1 1 0 8.12928 самоконтроля
1064 1 0 1 8.12928 самодеятельном
1065 1 0 1 8.12928 самовосприятия
1066 1 1 0 8.12928 самоактуализирующейся
1067 1 0 1 8.12928 рынок
1068 1 1 0 8.12928 рынку
1069 1 0 1 7.12928 рф
1070 1 0 1 8.12928 руководитель
1071 1 0 1 8.12928 ролевой
1072 1 0 1 8.12928 родного
1073 1 0 1 8.12928 робототехника
1074 1 0 1 8.12928 рисков
1075 1 0 1 8.12928 риска
1076 1 0 1 7.12928 речевая
1077 1 1 0 8.12928 ресурсы
1078 1 1 0 8.12928 ресурса
1079 1 0 1 8.12928 республики
1080 1 0 1 8.12928 рекламному
1081 1 0 1 8.12928 рекламиста
1082 1 0 1 8.12928 резерва
1083 1 0 1 8.12928 реализацию
1084 1 1 0 8.12928 расширения
1085 1 0 1 8.12928 ранней
1086 1 1 0 8.12928 разработке
1087 1 1 0 7.12928 разработка
1088 1 0 1 8.12928 разных
1089 1 1 0 8.12928 разными
1090 1 1 0 8.12928 различным
1091 1 0 1 8.12928 различий
1092 1 1 0 8.12928 развитой
1093 1 1 0 7.12928 развивающего
1094 1 0 1 8.12928 работающих
1095 1 0 1 8.12928 работах
1096 1 1 0 8.12928 путь
1097 1 0 1 8.12928 путем
1098 1 1 0 8.12928 психопластики
1099 1 0 1 8.12928 психология
1100 1 1 0 8.12928 психологическом
1101 1 1 0 8.12928 психолог
1102 1 0 1 8.12928 психо
1103 1 0 1 8.12928 психиатров
1104 1 0 1 8.12928 процессу
1105 1 1 0 7.12928 процесс
1106 1 0 1 8.12928 профессиональным
1107 1 1 0 8.12928 профессиональный
1108 1 1 0 7.12928 профессионализм
1109 1 1 0 8.12928 профессионализации
1110 1 0 1 8.12928 просвещение
1111 1 0 1 8.12928 пророческого
1112 1 1 0 8.12928 промышленного
1113 1 0 1 8.12928 проектов
1114 1 1 0 8.12928 продолжать
1115 1 0 1 8.12928 программное
1116 1 0 1 8.12928 программах
1117 1 0 1 8.12928 программа
1118 1 0 1 8.12928 прогнозирование
1119 1 0 1 7.12928 проведения
1120 1 1 0 8.12928 проблему
1121 1 0 1 8.12928 проблематика
1122 1 0 1 8.12928 приоритетные
1123 1 1 0 8.12928 принцип
1124 1 0 1 8.12928 применительно
1125 1 0 1 8.12928 применение
1126 1 0 1 8.12928 прикладного
1127 1 1 0 8.12928 признак
1128 1 0 1 8.12928 призму
1129 1 0 1 8.12928 привнесение
1130 1 0 1 8.12928 прецедентные
1131 1 0 1 8.12928 преподавателям
1132 1 1 0 8.12928 преподавателейзалог
1133 1 0 1 8.12928 преподавание
1134 1 0 1 8.12928 предметной
1135 1 1 0 8.12928 практики
1136 1 1 0 8.12928 практике
1137 1 0 1 8.12928 практика
1138 1 0 1 8.12928 практик
1139 1 0 1 8.12928 праздничной
1140 1 0 1 8.12928 православном
1141 1 0 1 8.12928 поэтических
1142 1 0 1 8.12928 потребность
1143 1 0 1 8.12928 посредством
1144 1 1 0 8.12928 портфолио
1145 1 0 1 8.12928 помощью
1146 1 1 0 8.12928 поля
1147 1 1 0 8.12928 пользователя
1148 1 1 0 8.12928 политического
1149 1 0 1 7.12928 поликультурном
1150 1 0 1 8.12928 поколения
1151 1 0 1 8.12928 поколений
1152 1 1 0 8.12928 поисков
1153 1 0 1 8.12928 поил
1154 1 1 0 8.12928 позиция
1155 1 0 1 8.12928 подростковом
1156 1 1 0 8.12928 поддержка
1157 1 0 1 7.12928 подготовке
1158 1 0 1 8.12928 подверженность
1159 1 0 1 8.12928 под
1160 1 1 0 8.12928 погоне
1161 1 1 0 8.12928 поведении
1162 1 0 1 8.12928 поведением
1163 1 0 1 8.12928 поведение
1164 1 0 1 8.12928 победы
1165 1 1 0 8.12928 письменному
1166 1 0 1 8.12928 периоды
1167 1 0 1 8.12928 период
1168 1 1 0 8.12928 переживающих
1169 1 0 1 8.12928 переводчиков
1170 1 0 1 8.12928 переводчика
1171 1 0 1 8.12928 переводческой
1172 1 1 0 8.12928 переводу
1173 1 0 1 8.12928 первых
1174 1 0 1 8.12928 первокурсников
1175 1 0 1 8.12928 первокурсника
1176 1 1 0 8.12928 первичной
1177 1 1 0 8.12928 педагогическому
1178 1 1 0 8.12928 педагогическом
1179 1 1 0 7.12928 педагогики
1180 1 1 0 8.12928 педагог
1181 1 0 1 7.12928 патриотического
1182 1 0 1 8.12928 парадигме
1183 1 0 1 8.12928 охраны
1184 1 0 1 8.12928 офицера
1185 1 1 0 8.12928 отраслевая
1186 1 1 0 7.12928 отношения
1187 1 0 1 8.12928 отношение
1188 1 0 1 8.12928 открытый
1189 1 0 1 8.12928 откровения
1190 1 0 1 8.12928 отклонения
1191 1 0 1 8.12928 отечественных
1192 1 1 0 8.12928 ответственной
1193 1 0 1 8.12928 особенностями
1194 1 0 1 8.12928 основания
1195 1 1 0 8.12928 осмысленности
1196 1 1 0 8.12928 осмыслении
1197 1 0 1 8.12928 организованная
1198 1 0 1 8.12928 организационные
1199 1 1 0 8.12928 организационной
1200 1 1 0 8.12928 организациия
1201 1 1 0 8.12928 опыта
1202 1 1 0 8.12928 опроса
1203 1 0 1 8.12928 определяющие
1204 1 1 0 8.12928 определении
1205 1 0 1 8.12928 определением
1206 1 1 0 8.12928 опосредствующие
1207 1 0 1 8.12928 омвд
1208 1 0 1 8.12928 олимпийского
1209 1 0 1 8.12928 олимпиады
1210 1 0 1 8.12928 оздоровительных
1211 1 1 0 8.12928 один
1212 1 0 1 8.12928 общество
1213 1 0 1 8.12928 общественных
1214 1 1 0 8.12928 общества
1215 1 0 1 8.12928 общепедагогических
1216 1 0 1 8.12928 общеобразовательных
1217 1 0 1 8.12928 общению
1218 1 1 0 8.12928 общекультурном
1219 1 0 1 8.12928 обучение
1220 1 1 0 8.12928 обучающейся
1221 1 0 1 8.12928 обучающегосяодна
1222 1 1 0 8.12928 обусловленной
1223 1 0 1 8.12928 образовательный
1224 1 1 0 8.12928 образовательное
1225 1 1 0 8.12928 образованию
1226 1 1 0 8.12928 образований
1227 1 1 0 8.12928 образовани
1228 1 0 1 8.12928 образных
1229 1 1 0 8.12928 образ
1230 1 1 0 8.12928 обоснованию
1231 1 0 1 8.12928 обоснование
1232 1 1 0 8.12928 областного
1233 1 1 0 8.12928 обеспечению
1234 1 1 0 8.12928 обеспечении
1235 1 1 0 8.12928 нравственность
1236 1 1 0 7.12928 нравственно
1237 1 0 1 8.12928 нормы
1238 1 0 1 8.12928 неязыковых
1239 1 0 1 8.12928 нефтегазовой
1240 1 0 1 8.12928 неформального
1241 1 0 1 8.12928 нервнопсихических
1242 1 1 0 8.12928 неотъемлемой
1243 1 0 1 8.12928 необходимость
1244 1 1 0 8.12928 необходимая
1245 1 0 1 8.12928 ненормативного
1246 1 0 1 8.12928 немецкому
1247 1 0 1 8.12928 ней
1248 1 1 0 8.12928 негативное
1249 1 0 1 8.12928 не
1250 1 0 1 8.12928 начальных
1251 1 0 1 8.12928 национальных
1252 1 0 1 8.12928 научных
1253 1 1 0 8.12928 наследие
1254 1 1 0 8.12928 нарративизации
1255 1 1 0 8.12928 напряжений
1256 1 1 0 8.12928 направленных
1257 1 1 0 8.12928 направленностью
1258 1 0 1 8.12928 направлений
1259 1 1 0 8.12928 наименованием
1260 1 0 1 8.12928 мыследеятельностной
1261 1 1 0 8.12928 музыки
1262 1 0 1 8.12928 музыкальная
1263 1 0 1 8.12928 мотивов
1264 1 1 0 8.12928 мотивационные
1265 1 1 0 8.12928 мотивационное
1266 1 0 1 7.12928 молодёжи
1267 1 0 1 8.12928 молодого
1268 1 0 1 8.12928 модернизации
1269 1 1 0 8.12928 многоязычной
1270 1 1 0 8.12928 многоязычие
1271 1 0 1 8.12928 мистицизм
1272 1 1 0 8.12928 мировоззрения
1273 1 0 1 6.54432 мире
1274 1 0 1 7.12928 министерства
1275 1 1 0 8.12928 механизма
1276 1 1 0 8.12928 методологических
1277 1 0 1 8.12928 методологическая
1278 1 1 0 7.12928 методов
1279 1 1 0 8.12928 методической
1280 1 0 1 8.12928 метода
1281 1 0 1 8.12928 метапредметный
1282 1 1 0 8.12928 место
1283 1 1 0 8.12928 менее
1284 1 0 1 8.12928 менеджмента
1285 1 0 1 8.12928 менеджеров
1286 1 0 1 8.12928 менеджера
1287 1 1 0 8.12928 межредметных
1288 1 0 1 8.12928 межпредметные
1289 1 0 1 8.12928 международная
1290 1 1 0 8.12928 междисциплинарных
1291 1 0 1 8.12928 междисциплинарный
1292 1 0 1 8.12928 медиков
1293 1 0 1 8.12928 медиадискурсе
1294 1 1 0 8.12928 мгппу
1295 1 0 1 7.12928 материале
1296 1 0 1 8.12928 материалам
1297 1 1 0 8.12928 математических
1298 1 0 1 8.12928 математический
1299 1 1 0 8.12928 мастерству
1300 1 1 0 8.12928 мастерства
1301 1 0 1 8.12928 магистрантов
1302 1 1 0 8.12928 лёгкой
1303 1 0 1 8.12928 логические
1304 1 0 1 8.12928 личностных
1305 1 0 1 8.12928 личностные
1306 1 1 0 8.12928 личностной
1307 1 0 1 8.12928 личностного
1308 1 1 0 8.12928 личност
1309 1 0 1 8.12928 лингвориторические
1310 1 1 0 8.12928 лингвокультурной
1311 1 0 1 8.12928 лингвистов
1312 1 1 0 8.12928 лингвистическая
1313 1 0 1 8.12928 лингвиста
1314 1 1 0 8.12928 лидерского
1315 1 0 1 8.12928 лидера
1316 1 1 0 8.12928 лет
1317 1 0 1 8.12928 л
1318 1 0 1 8.12928 курсов
1319 1 0 1 8.12928 курсам
1320 1 0 1 7.12928 курса
1321 1 0 1 8.12928 культуротворческой
1322 1 1 0 8.12928 культурологической
1323 1 0 1 8.12928 культурных
1324 1 0 1 8.12928 культурный
1325 1 0 1 7.12928 культурные
1326 1 1 0 8.12928 культурном
1327 1 1 0 8.12928 культурного
1328 1 1 0 8.12928 культурно
1329 1 0 1 8.12928 критерий
1330 1 1 0 8.12928 кризис
1331 1 1 0 8.12928 креативность
1332 1 1 0 8.12928 креативного
1333 1 0 1 8.12928 края
1334 1 1 0 8.12928 коррупционная
1335 1 0 1 8.12928 концепциях
1336 1 0 1 8.12928 конфликтоустойчивости
1337 1 0 1 7.12928 конфликтной
1338 1 0 1 8.12928 конференция
1339 1 1 0 8.12928 конференции
1340 1 0 1 8.12928 контекстное
1341 1 0 1 8.12928 контекстах
1342 1 0 1 8.12928 конструкты
1343 1 0 1 8.12928 конструкторы
1344 1 0 1 8.12928 конструкторах
1345 1 1 0 8.12928 кондрашова
1346 1 1 0 8.12928 комфорте
1347 1 0 1 8.12928 комфорта
1348 1 1 0 7.12928 компонентов
1349 1 0 1 8.12928 компонентный
1350 1 1 0 8.12928 комплексные
1351 1 1 0 8.12928 компетентностная
1352 1 0 1 8.12928 компании
1353 1 1 0 8.12928 коммуникативного
1354 1 0 1 8.12928 командира
1355 1 1 0 8.12928 климата
1356 1 0 1 8.12928 климат
1357 1 0 1 8.12928 классов
1358 1 0 1 8.12928 китайской
1359 1 0 1 8.12928 квопросу
1360 1 0 1 8.12928 квалификации
1361 1 1 0 8.12928 качествах
1362 1 1 0 8.12928 качествами
1363 1 0 1 8.12928 качествам
1364 1 0 1 8.12928 категорий
1365 1 1 0 7.12928 категории
1366 1 0 1 8.12928 категориальный
1367 1 0 1 8.12928 кастанеды
1368 1 0 1 8.12928 карлоса
1369 1 1 0 8.12928 источники
1370 1 0 1 8.12928 история
1371 1 1 0 8.12928 историческом
1372 1 1 0 8.12928 исторической
1373 1 0 1 8.12928 исторически
1374 1 1 0 8.12928 историографические
1375 1 0 1 8.12928 истоки
1376 1 0 1 8.12928 исследователя
1377 1 1 0 8.12928 исследованию
1378 1 1 0 8.12928 исследований
1379 1 0 1 8.12928 использования
1380 1 1 0 8.12928 исполнитель
1381 1 0 1 8.12928 исполнению
1382 1 0 1 8.12928 исламском
1383 1 1 0 7.12928 искусство
1384 1 0 1 8.12928 иррациональных
1385 1 0 1 8.12928 информационную
1386 1 0 1 8.12928 информативного
1387 1 0 1 8.12928 интернальность
1388 1 0 1 8.12928 интернальних
1389 1 1 0 8.12928 интересов
1390 1 1 0 8.12928 интерактивной
1391 1 1 0 8.12928 интенция
1392 1 1 0 7.12928 интеллектуального
1393 1 1 0 8.12928 интеллектаи
1394 1 1 0 8.12928 интеллект
1395 1 1 0 8.12928 интеграции
1396 1 1 0 8.12928 интегральная
1397 1 1 0 8.12928 инструментария
1398 1 0 1 8.12928 инспекторов
1399 1 1 0 8.12928 инноваций
1400 1 0 1 8.12928 инженеров
1401 1 0 1 8.12928 инженера
1402 1 1 0 8.12928 индикатор
1403 1 1 0 8.12928 имидж
1404 1 0 1 8.12928 изобразительной
1405 1 0 1 8.12928 изобразительное
1406 1 0 1 8.12928 изменяющегося
1407 1 1 0 8.12928 идея
1408 1 1 0 8.12928 идентификация
1409 1 1 0 8.12928 идентификацией
1410 1 1 0 8.12928 идеи
1411 1 1 0 8.12928 игры
1412 1 0 1 8.12928 значимости
1413 1 0 1 8.12928 значении
1414 1 1 0 8.12928 здравотворчества
1415 1 1 0 8.12928 здоровью
1416 1 0 1 8.12928 затруднения
1417 1 0 1 8.12928 зарубежной
1418 1 0 1 8.12928 зарубежного
1419 1 0 1 8.12928 занимающихся
1420 1 0 1 8.12928 законодательства
1421 1 0 1 8.12928 задача
1422 1 0 1 8.12928 завистливости
1423 1 0 1 8.12928 зависимым
1424 1 1 0 8.12928 зависимостям
1425 1 1 0 8.12928 завет
1426 1 1 0 8.12928 заведениях
1427 1 1 0 8.12928 жизнеспособной
1428 1 1 0 8.12928 жизненными
1429 1 0 1 8.12928 жизненным
1430 1 1 0 8.12928 единиц
1431 1 1 0 8.12928 европейского
1432 1 1 0 8.12928 досуговых
1433 1 0 1 8.12928 досуговая
1434 1 1 0 8.12928 достоинства
1435 1 1 0 8.12928 дорожного
1436 1 1 0 8.12928 допрофессионального
1437 1 0 1 8.12928 доминирующей
1438 1 0 1 8.12928 должностных
1439 1 0 1 8.12928 докторских
1440 1 0 1 8.12928 доверия
1441 1 0 1 8.12928 дифференцированного
1442 1 0 1 8.12928 дистанционном
1443 1 0 1 8.12928 диссертаций
1444 1 1 0 8.12928 диспозиционной
1445 1 0 1 8.12928 дискурс
1446 1 1 0 8.12928 динамическая
1447 1 1 0 8.12928 динамика
1448 1 0 1 8.12928 дизайнерского
1449 1 1 0 8.12928 дидактическом
1450 1 0 1 8.12928 диалоге
1451 1 1 0 8.12928 деятельностный
1452 1 0 1 8.12928 деятельностного
1453 1 1 0 8.12928 деятель
1454 1 1 0 7.12928 дел
1455 1 0 1 8.12928 декоративно
1456 1 1 0 8.12928 действий
1457 1 1 0 8.12928 дезорганизации
1458 1 1 0 8.12928 движущие
1459 1 1 0 8.12928 движения
1460 1 0 1 8.12928 гюнтер
1461 1 0 1 8.12928 гуманизации
1462 1 1 0 8.12928 границы
1463 1 1 0 8.12928 грамотность
1464 1 0 1 8.12928 грамматики
1465 1 1 0 8.12928 гражданской
1466 1 1 0 6.54432 гражданско
1467 1 1 0 8.12928 гражданских
1468 1 0 1 8.12928 готовность
1469 1 1 0 8.12928 готовности
1470 1 1 0 8.12928 государственный
1471 1 0 1 8.12928 государственно
1472 1 0 1 8.12928 горизонтах
1473 1 0 1 8.12928 глобализационно
1474 1 0 1 8.12928 герман
1475 1 0 1 8.12928 гендерного
1476 1 1 0 8.12928 гендерная
1477 1 1 0 8.12928 гармоничную
1478 1 1 0 8.12928 гармоничной
1479 1 1 0 8.12928 гармонически
1480 1 1 0 8.12928 гармоническая
1481 1 1 0 7.12928 выявлению
1482 1 0 1 8.12928 высокой
1483 1 0 1 8.12928 вызывающие
1484 1 1 0 8.12928 выдающиеся
1485 1 0 1 8.12928 выбор
1486 1 0 1 8.12928 вузовского
1487 1 0 1 8.12928 вузапри
1488 1 1 0 8.12928 вуз
1489 1 1 0 8.12928 второму
1490 1 0 1 8.12928 второй
1491 1 0 1 8.12928 всероссийской
1492 1 0 1 8.12928 временных
1493 1 0 1 8.12928 восприятии
1494 1 1 0 8.12928 восприятие
1495 1 0 1 8.12928 воспитанников
1496 1 1 0 7.12928 вопросы
1497 1 1 0 8.12928 вопроса
1498 1 0 1 8.12928 волонтеры
1499 1 1 0 8.12928 волонтерство
1500 1 1 0 8.12928 воли
1501 1 0 1 8.12928 война
1502 1 0 1 8.12928 воинского
1503 1 0 1 8.12928 возрастных
1504 1 1 0 8.12928 возможностях
1505 1 0 1 8.12928 воздействию
1506 1 0 1 8.12928 воздействие
1507 1 0 1 7.12928 военных
1508 1 0 1 8.12928 военнослужащих
1509 1 1 0 8.12928 военному
1510 1 0 1 8.12928 военной
1511 1 1 0 7.12928 внутренних
1512 1 1 0 8.12928 внешней
1513 1 1 0 8.12928 внеучебную
1514 1 1 0 8.12928 влияющие
1515 1 0 1 7.12928 влияния
1516 1 1 0 8.12928 виртуализация
1517 1 1 0 8.12928 виктимности
1518 1 1 0 8.12928 виктимной
1519 1 0 1 8.12928 виды
1520 1 0 1 8.12928 взрослого
1521 1 0 1 8.12928 взглядов
1522 1 0 1 8.12928 ведущего
1523 1 1 0 8.12928 важных
1524 1 0 1 8.12928 важность
1525 1 1 0 8.12928 больных
1526 1 1 0 8.12928 божович
1527 1 1 0 8.12928 блока
1528 1 0 1 8.12928 биографических
1529 1 0 1 8.12928 бакалавра
1530 1 1 0 8.12928 база
1531 1 0 1 8.12928 аэрокосмического
1532 1 0 1 8.12928 атомизированном
1533 1 1 0 8.12928 атлетике
1534 1 1 0 8.12928 ассертивности
1535 1 1 0 8.12928 аспектам
1536 1 1 0 8.12928 асоциальные
1537 1 1 0 8.12928 архетип
1538 1 0 1 8.12928 арабского
1539 1 0 1 8.12928 антропологический
1540 1 1 0 8.12928 антикоррупционной
1541 1 0 1 8.12928 антикоррупционная
1542 1 0 1 8.12928 анализе
1543 1 1 0 8.12928 алкоголизации
1544 1 1 0 8.12928 актуализирующие
1545 1 1 0 8.12928 активность
1546 1 1 0 8.12928 активной
1547 1 0 1 8.12928 аксиологическое
1548 1 1 0 8.12928 аксиологические
1549 1 0 1 8.12928 акмепедагогический
1550 1 1 0 8.12928 акмеологического
1551 1 0 1 8.12928 акмеологическая
1552 1 0 1 8.12928 акмеологии
1553 1 0 1 8.12928 академическую
1554 1 0 1 8.12928 академической
1555 1 0 1 8.12928 айкидо
1556 1 0 1 8.12928 административного
1557 1 0 1 8.12928 адаптированности
1558 1 1 0 8.12928 адаптивной
1559 1 0 1 8.12928 адаптация
1560 1 0 1 8.12928 адаптации
1561 1 1 0 7.12928 агрессивного
1562 1 1 0 8.12928 авторского
1563 1 1 0 8.12928 авторов
1564 1 1 0 8.12928 автономности
1565 1 1 0 8.12928 автономная
1566 1 1 0 8.12928 автономия
1567 1 0 1 8.12928 а
1568 1 0 1 8.12928 z
1569 1 0 1 8.12928 kahoot
1570 1 0 1 8.12928 com
```
[[Новая статьяПедагогика|СтатьяПедагогикаРУДН2020_07_08]]
[[Новая статьяИнформатика]]
Как работать над диссертацией
[ext[ссылка|http://anovikov.ru/books/diss.pdf]]
исследование, например, по теории и методике обучения строится на каком-либо конкретном учебном предмете (курсе, цикле: математика, химия, история и т.д.) или, например, по методике создания и использования средств обучения. Приведем некоторые темы диссертаций, защищенных по методике обучения: «Групповая работа как средство реализации уровневой дифференциации при обучении алгебре в VIII классе» – методика преподавания математики; «Воспитание культуры речи учащихся в условиях местного диалекта (V класс)» – методика преподавания русского языка; «Методика применения средств наглядности в процессе формирования у школьников сельскохозяйственных знаний и трудовых политехнических умений» – методика трудового обучения; «Система учебного оборудования для изучения электроники в средней школе и условия эффективного его и спользования» – методика создания и использования средств обучения.
короче стр. 13 - 15
[[частота слов нсп2019]]
АКМЕ-СТРАТЕГИЯ ПРОФЕССИОНАЛЬНОГО САМОРАЗВИТИЯ КАК АСПЕКТ ТЕХНОЛОГИИ САМОРАЗВИТИЯ ЛИЧНОСТИ.
ДУХОВНЫЙ ПОРТРЕТ ТВОРЧЕСКОЙ ЛИЧНОСТИ (ТВОРЧЕСКИЙ ПОРТРЕТ ПЕРСОНАЛИИ КАК ПРОФЕССИОНАЛЬНО ЗНАЧИМЫЙ ЖАНР РЕЧИ ПЕДАГОГА).
ХОМЯКОВ О ЦЕЛОСТНОСТИ ЛИЧНОСТИ В КОНТЕКСТЕ СОВРЕМЕННОЙ ПЕДАГОГИЧЕСКОЙ НАУКИ.
АВТОНОМИЯ ЛИЧНОСТИ КАК УСЛОВИЕ АДАПТАЦИИ ВЫПУСКНИКОВ ВУЗОВ К РЫНКУ ТРУДА.
АВТОНОМНАЯ ПОЗИЦИЯ ЛИЧНОСТИ СТУДЕНТА В УЧЕБНОЙ ДЕЯТЕЛЬНОСТИ.
АВТОР КАК ТВОРЧЕСКАЯ ЛИЧНОСТЬ В ПИСЬМАХ БУЛГАКОВА.
АДАПТАЦИОННЫЕ СПОСОБНОСТИ ЛИЧНОСТИ ВОЕННОСЛУЖАЩЕГО КАК ФАКТОР УСПЕХА ЕГО ПРОФЕССИОНАЛЬНОЙ ДЕЯТЕЛЬНОСТИ.
АДАПТАЦИОННЫЙ ПОТЕНЦИАЛ ЛИЧНОСТИ ПЕДАГОГА ОБЩЕГО ОБРАЗОВАНИЯ КАК ФАКТОР ПСИХОЛОГИЧЕСКОЙ БЕЗОПАСНОСТИ ОБРАЗОВАТЕЛЬНОЙ СРЕДЫ.
АДАПТАЦИЯ КУРСАНТОВ К ВУЗОВСКОМУ ОБУЧЕНИЮ В СТРАТЕГИИ ФОРМИРОВАНИЯ ПРОФЕССИОНАЛЬНОЙ УСТОЙЧИВОСТИ ЛИЧНОСТИ.
АДАПТИВНО-АКМЕПЕДАГОГИЧЕСКИЙ ПОДХОД КАК КОНСТРУКТ И УСЛОВИЕ ОПТИМИЗАЦИИ КАЧЕСТВА ФОРМИРОВАНИЯ КУЛЬТУРЫ САМОСТОЯТЕЛЬНОЙ РАБОТЫ ЛИЧНОСТИ.
АДАПТИВНОЕ ПОВЕДЕНИЕ ЛИЧНОСТИ В МЕЖЛИЧНОСТНОМ КОНФЛИКТЕ.
АКМЕОЛОГИЧЕСКОЕ РАЗВИТИЕ ЛИЧНОСТИ БУДУЩЕГО ПСИХОЛОГА КАК ОСНОВА ПРОФЕССИОНАЛЬНОЙ КОМПЕТЕНТНОСТИ.
АКСИОЛОГИЧЕСКИЕ АСПЕКТЫ ВОСПИТАНИЯ СПОРТИВНОЙ КУЛЬТУРЫ ЛИЧНОСТИ СТУДЕНТОВ ВУЗА ФИЗИЧЕСКОЙ КУЛЬТУРЫ.
АКСИОЛОГИЧЕСКИЕ АСПЕКТЫ ВОСПИТАНИЯ СПОРТИВНОЙ КУЛЬТУРЫ ЛИЧНОСТИ СТУДЕНТОВ ВУЗА ФИЗИЧЕСКОЙ КУЛЬТУРЫ.
АКСИОЛОГИЧЕСКИЕ АСПЕКТЫ ВОСПИТАНИЯ СПОРТИВНОЙ КУЛЬТУРЫ ЛИЧНОСТИ СТУДЕНТОВ ВУЗА ФИЗИЧЕСКОЙ КУЛЬТУРЫ.
АКСИОЛОГИЧЕСКОЕ ИЗМЕРЕНИЕ КАТЕГОРИИ ПРАВА И ЕГО РОЛЬ В ПРОЦЕССЕ ФОРМИРОВАНИЯ ЛИЧНОСТИ КУРСАНТА.
АКСИОЛОГИЯ ДУХОВНОГО СТАНОВЛЕНИЯ ЛИЧНОСТИ В ОТЕЧЕСТВЕННОЙ ОБРАЗОВАТЕЛЬНОЙ КУЛЬТУРЕ.
АКТИВИЗАЦИЯ ЛИЧНОСТИ УЧАЩИХСЯ ЧЕРЕЗ УЧЕБНО-ИССЛЕДОВАТЕЛЬСКУЮ И ПРОЕКТНУЮ ДЕЯТЕЛЬНОСТЬ В ШКОЛЕ.
АКТУАЛИЗАЦИЯ МОТИВАЦИОННОЙ СФЕРЫ ЛИЧНОСТИ СТУДЕНТА В ПРОЦЕССЕ ФОРМИРОВАНИЯ ЕГО СУБЪЕКТНОЙ ПОЗИЦИИ.
АКТУАЛЬНЫЕ ВОПРОСЫ ГУМАНИТАРНОГО ОБРАЗОВАНИЯ ЛИЧНОСТИ В АСПЕКТЕ СОВРЕМЕННЫХ ОБРАЗОВАТЕЛЬНЫХ ЦЕННОСТЕЙ.
АКТУАЛЬНЫЕ ПРОБЛЕМЫ ПСИХОЛОГО-ПЕДАГОГИЧЕСКОГО СОПРОВОЖДЕНИЯ ЛИЧНОСТИ.
АКТУАЛЬНЫЕ ПРОБЛЕМЫ РАЗВИТИЯ ЛИЧНОСТИ В СОВРЕМЕННОМ СОЦИОКУЛЬТУРНОМ ПРОСТРАНСТВЕ.
АКТУАЛЬНЫЕ СМЫСЛОВЫЕ СОСТОЯНИЯ ПЕДАГОГОВ ПЕРЕЖИВАЮЩИХ ПРОФЕССИОНАЛЬНЫЙ КРИЗИС ЛИЧНОСТИ.
АМБИЦИОЗНОСТЬ ЛИЧНОСТИ В ПРОФЕССИИ ПЕДАГОГ ЧАСТЬ 1. ОБ АМБИЦИЯХ КАК ТАКОВЫХ.
АМБИЦИОЗНОСТЬ ЛИЧНОСТИ В ПРОФЕССИИ ПЕДАГОГ ЧАСТЬ 2. ОБ АМБИЦИЯХ В ПРОФЕССИИ ПЕДАГОГА.
АНАЛИЗ ПОНЯТИЯ САМОРЕАЛИЗАЦИИ КАК ОСНОВЫ ДУХОВНОЙ СОСТАВЛЯЮЩЕЙ ФИЗИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ.
АНАЛИЗ ПОНЯТИЯ САМОРЕАЛИЗАЦИИ КАК ОСНОВЫ ДУХОВНОЙ СОСТАВЛЯЮЩЕЙ ФИЗИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ.
АНАЛИЗ ПРИОРИТЕТНЫХ КАЧЕСТВ ЛИЧНОСТИ ПЕДАГОГА МЕДИЦИНСКОГО ВУЗА В КОНТЕКСТЕ ОПТИМИЗАЦИИ УЧЕБНОГО ПРОЦЕССА.
АНАЛИЗ РАЗВИТИЯ ОРГАНИЗАЦИОННО-ПРАВОВЫХ УСЛОВИЙ РЕАЛИЗАЦИИ ГОСУДАРСТВЕННОЙ МОЛОДЕЖНОЙ ПОЛИТИКИ РОССИЙСКОЙ ФЕДЕРАЦИИ В АСПЕКТЕ ВОСПИТАНИЯ СОЦИАЛЬНО ОТВЕТСТВЕННОЙ ЛИЧНОСТИ.
АНАЛИЗ ТЕМ ДОКТОРСКИХ ДИССЕРТАЦИЙ ПО ПСИХОЛОГИИ НАПРАВЛЕННЫХ НА ИЗУЧЕНИЕ ЛИЧНОСТИ ПЕДАГОГА ( Г).
АНАЛИЗ УСЛОВИЙ СТАНОВЛЕНИЯ ЛИЧНОСТИ СТУДЕНТОВ АЭРОКОСМИЧЕСКОГО ВУЗА ПРИ ОБУЧЕНИИ ИНОСТРАННОМУ ЯЗЫКУ СПЕЦИАЛЬНОСТИ (НА ПРИМЕРЕ МАИ (НИУ)).
АНАЛИТИКО-ТЕОРЕТИЧЕСКИЕ ПОДХОДЫ К КОНЦЕПТУАЛЬНОМУ ОПРЕДЕЛЕНИЮ МЕСТА И РОЛИ ФИЗИЧЕСКОЙ КУЛЬТУРЫ И СПОРТА В НРАВСТВЕННОМ РАЗВИТИИ ЛИЧНОСТИ КУРСАНТА.
АНСАМБЛЬ СВОЙСТВ ЛИЧНОСТИ: ТРИАЛЕКТИЧЕСКОЕ РАЗВИТИЕ ПРЕАДАПТИВНЫХ ВОЗМОЖНОСТЕЙ.
АНТИДОПИНГОВАЯ КУЛЬТУРА В СИСТЕМЕ КУЛЬТУРЫ ЛИЧНОСТИ.
АНТИКОРРУПЦИОННАЯ КУЛЬТУРА КАК АНТРОПОЛОГИЧЕСКОЕ СРЕДСТВО СОЦИАЛИЗАЦИИ ЛИЧНОСТИ.
АНТИМОДА-МАСКА ИЛИ ВЫРАЖЕНИЕ ЛИЧНОСТИ.
АНТРОПОЛОГИЧЕСКИЙ ПОДХОД В ВОСПИТАНИИ ЖИЗНЕСТОЙКОСТИ И ЦЕЛЬНОСТИ ЛИЧНОСТИ У ПОДРОСТКОВ КАК ФАКТОР УСТОЙЧИВОСТИ К ЗАВИСИМОСТЯМ.
АСОЦИАЛЬНЫЕ ПРОЯВЛЕНИЯ ЛИЧНОСТИ: ПРОБЛЕМЫ ПРОФИЛАКТИКИ.
АСПЕКТЫ ИЗУЧЕНИЯ И ВОЗМОЖНОСТИ ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ СОВРЕМЕННОГО СТУДЕНТА.
АТРИБУЦИЯ ЛИЧНОСТНЫХ КАЧЕСТВ ПРЕПОДАВАТЕЛЯМ В УСЛОВИЯХ ВИДЕОЛЕКЦИИ В КОНТЕКСТЕ СОЦИАЛЬНО-ПСИХОЛОГИЧЕСКИХ ХАРАКТЕРИСТИК ЛИЧНОСТИ СТУДЕНТОВ.
АФФЕКТИВНЫЙ АСПЕКТ ИДЕНТИЧНОСТИ ЛИЧНОСТИ В УСЛОВИЯХ ВИРТУАЛЬНОЙ СРЕДЫ.
БАЗОВЫЕ УРОВНИ ЗНАНИЙ И ФОРМИРОВАНИЕ ЛИЧНОСТИ СТУДЕНТОВ В НЕЯЗЫКОВЫХ ВУЗАХ.
БАЗОВЫЙ ПОБУДИТЕЛЬНЫЙ МЕХАНИЗМ СОЦИАЛЬНОЙ АКТИВНОСТИ ЛИЧНОСТИ.
ШАДРИКОВ: УЧЕНЫЙ ПСИХОЛОГ ПЕДАГОГ ГОСУДАРСТВЕННЫЙ ДЕЯТЕЛЬ ЛИЧНОСТЬ.
ВАЖНОСТЬ ЗАНЯТИЙ ФИЗИЧЕСКОЙ КУЛЬТУРЫ В СТАНОВЛЕНИИ ЛИЧНОСТИ ЧЕЛОВЕКА.
ВАЖНОСТЬ ПСИХОЛОГО-ПЕДАГОГИЧЕСКИХ ХАРАКТЕРИСТИК ЛИЧНОСТИ ВОЖАТОГО В ПРОЦЕССЕ ВОСПИТАНИЯ ДЕТЕЙ.
ВАЖНОСТЬ ТРЕБОВАНИЙ НА САМОРАЗВИТИЕ КАК ФАКТОР ФОРМИРОВАНИЯ ЛИЧНОСТИ УЧАЩИХСЯ В ВОСПИТАТЕЛЬНОМ ПРОЦЕССЕ.
ВВЕДЕНИЕ ЛИЧНОСТИ РЕБЕНКА И ЕГО РОДИТЕЛЕЙ В ДУХОВНУЮ АТМОСФЕРУ И КУЛЬТУРУ РОДНОГО ГОРОДА ПОСРЕДСТВОМ ОЗНАКОМЛЕНИЯ С ТВОРЧЕСТВОМ МЕСТНЫХ ХУДОЖНИКОВ.
ВЕРА. ЛИЧНОСТЬ. ОБРАЗОВАНИЕ.
ВЗАИМОСВЯЗЬ АССЕРТИВНОСТИ ЛИЧНОСТИ С КОММУНИКАТИВНОЙ ТОЛЕРАНТНОСТЬЮ У СТУДЕНТОВ ТЕХНИЧЕСКОГО ВУЗА.
ВЗАИМОСВЯЗЬ ВИКТИМНОЙ ДЕФОРМАЦИИ ЛИЧНОСТИ И СКЛОННОСТИ К ВИКТИМНОМУ ПОВЕДЕНИЮ В ПОДРОСТКОВОМ И ЮНОШЕСКОМ ВОЗРАСТАХ.
ВЗАИМОСВЯЗЬ ВРЕМЕННОЙ ПЕРСПЕКТИВЫ С УРОВНЕМ ЛИЧНОСТНОЙ И СИТУАТИВНОЙ ТРЕВОЖНОСТИ ЛИЧНОСТИ.
ВЗАИМОСВЯЗЬ ДУХОВНОСТИ ТВОРЧЕСТВА И КРЕАТИВНОСТИ ЛИЧНОСТИ.
ВЗАИМОСВЯЗЬ ЗАВИСТЛИВОСТИ И ХАРАКТЕРИСТИК ОБЪЕКТИВНОГО И СУБЪЕКТИВНОГО ЭКОНОМИЧЕСКОГО БЛАГОПОЛУЧИЯ ЛИЧНОСТИ.
ВЗАИМОСВЯЗЬ ИННОВАТИВНЫХ КАЧЕСТВ ЛИЧНОСТИ И САМОРЕГУЛЯЦИИ У СТУДЕНТОВ.
ВЗАИМОСВЯЗЬ МОТИВАЦИИ И ТИПА НАПРАВЛЕННОСТИ ЛИЧНОСТИ.
ВЗАИМОСВЯЗЬ ПРОГНОЗА ПРОФЕССИОНАЛЬНОЙ ЭФФЕКТИВНОСТИ И ЧЕРТ ЛИЧНОСТИ СТУДЕНТОВ-ПСИХОЛОГОВ СО СКЛОННОСТЬЮ К ОТДЕЛЬНЫМ ВИДАМ ЛЖИ.
ВЗАИМОСВЯЗЬ САМООЦЕНКИ ЛИЧНОСТИ СТУДЕНТОВ ФИЗКУЛЬТУРНОГО ВУЗА С МОТИВАМИ ПРОФЕССИОНАЛЬНОЙ ДЕЯТЕЛЬНОСТИ.
ВЗАИМОСВЯЗЬ СТРУКТУРНЫХ КОМПОНЕНТОВ СИНДРОМА ПСИХИЧЕСКОГО ВЫГОРАНИЯ И ПРОФЕССИОНАЛЬНОЙ ДЕФОРМАЦИИ ЛИЧНОСТИ У ПЕДАГОГОВ.
ВЗАИМОСВЯЗЬ СТРУКТУРЫ ЛИЧНОСТИ С РЕЗУЛЬТАТИВНОСТЬЮ БАСКЕТБОЛИСТОВ РОССИЙСКОЙ И КИТАЙСКОЙ СТУДЕНЧЕСКИХ СБОРНЫХ КОМАНД.
ВЗАИМОСВЯЗЬ ТВОРЧЕСКОГО ПОТЕНЦИАЛА ЛИЧНОСТИ С ОСОБЕННОСТЯМИ САНОГЕННОЙ РЕФЛЕКСИИ.
ВЗАИМОСВЯЗЬ ТВОРЧЕСТВА КАК РЕСУРСА ЛИЧНОСТИ И СИНДРОМА ВЫГОРАНИЯ.
ВЗАИМОСВЯЗЬ УРОВНЯ САМОКОНТРОЛЯ И ВОЛЕВЫХ СВОЙСТВ ЛИЧНОСТИ У СТУДЕНТОВ-ПСИХОЛОГОВ.
ВЗАИМОСВЯЗЬ ШКОЛЬНОЙ УСПЕВАЕМОСТИ И ВОЛЕВЫХ КАЧЕСТВ ЛИЧНОСТИ В ЮНОШЕСКОМ ВОЗРАСТЕ.
ВЗАИМОСВЯЗЬ ЭМОЦИОНАЛЬНОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ И МОТИВОВ ВЫБОРА ПРОФЕССИИ СТУДЕНТОВ-ПСИХОЛОГОВ.
ВИРТУАЛИЗАЦИЯ СОЦИАЛЬНОГО ПРОСТРАНСТВА И ПРОБЛЕМА ЛИЧНОСТИ.
ВЛИЯНИЕ БОЕВЫХ ИСКУССТВ НА ЛИЧНОСТЬ СПОРТСМЕНА.
ВЛИЯНИЕ ВОИНСКИХ РИТУАЛОВ НА ФОРМИРОВАНИЕ СОЦИАЛЬНО- ЗНАЧИМЫХ КАЧЕСТВ ЛИЧНОСТИ КУРСАНТОВ РОСГВАРДИИ.
ВЛИЯНИЕ ДЕТСКО-РОДИТЕЛЬСКИХ ОТНОШЕНИЙ НА СТАНОВЛЕНИЕ ЛИЧНОСТИ РЕБЕНКА.
ВЛИЯНИЕ ДУХОВНО-НРАВСТВЕННЫХ ЦЕННОСТЕЙ НА РАЗВИТИЕ ЛИЧНОСТИ.
ВЛИЯНИЕ ИРРАЦИОНАЛЬНЫХ УСТАНОВОК НА ПСИХОЛОГИЧЕСКОЕ БЛАГОПОЛУЧИЕ И САМОЭФФЕКТИВНОСТЬ БОЛЬНЫХ С РАЗЛИЧНЫМ УРОВНЕМ ДЕЗОРГАНИЗАЦИИ ЛИЧНОСТИ.
ВЛИЯНИЕ ИСКУССТВА НА РАЗВИТИЕ ЛИЧНОСТИ СОВРЕМЕННОГО МЛАДШЕГО ШКОЛЬНИКА.
ВЛИЯНИЕ КОНКУРЕНЦИИ НА РАЗВИТИЕ ЛИЧНОСТИ.
ВЛИЯНИЕ ЛИЧНОСТИ ПРЕПОДАВАТЕЛЯ НА ФОРМИРОВАНИЕ СТУДЕНЧЕСКОЙ МОТИВАЦИИ В СОВРЕМЕННОМ ТЕХНИЧЕСКОМ ВУЗЕ.
ВЛИЯНИЕ МЕЖДИСЦИПЛИНАРНЫХ МЕЖПРЕДМЕТНЫХ СВЯЗЕЙ НА ФОРМИРОВАНИЕ ЛИЧНОСТИ ОБУЧАЮЩЕГОСЯ В ВЫСШЕЙ ШКОЛЕ.
ВЛИЯНИЕ МУЗЕЙНОЙ ПЕДАГОГИКИ НА РАЗВИТИЕ ЛИЧНОСТИ ШКОЛЬНИКА.
ВЛИЯНИЕ МУЗЫКАЛЬНОГО ВОСПИТАНИЯ НА ФОРМИРОВАНИЕ ЛИЧНОСТИ РЕБЕНКА В ЦЕНТРАХ СОДЕЙСТВИЯ СЕМЕЙНОМУ ВОСПИТАНИЮ.
ВЛИЯНИЕ ОСОБЕННОСТЕЙ ТЕМПЕРАМЕНТА НА УСПЕШНОСТЬ ЛИЧНОСТИ.
ВЛИЯНИЕ ОСОБЕННОСТЕЙ ТЕМПЕРАМЕНТА НА ФОРМИРОВАНИЕ ЭМПАТИИ КАК КАЧЕСТВА ЛИЧНОСТИ.
ВЛИЯНИЕ ОТКРЫТОЙ ОБРАЗОВАТЕЛЬНОЙ СРЕДЫ НА СОЦИАЛИЗАЦИЮ ЛИЧНОСТИ.
ВЛИЯНИЕ ПОЛИКУЛЬТУРНОГО ПРОСТРАНСТВА НА РАЗВИТИЕ ЛИЧНОСТИ.
ВЛИЯНИЕ ПОЛИМОДАЛЬНОСТИ РЕФЛЕКСИИ НА САМООРГАНИЗАЦИЮ ЛИЧНОСТИ.
ВЛИЯНИЕ ПРЕПОДАВАНИЯ ГУМАНИТАРНЫХ ДИСЦИПЛИН В ТЕХНИЧЕСКОМ ВУЗЕ НА РАЗВИТИЕ ЛИЧНОСТИ СТУДЕНТА.
ВЛИЯНИЕ ПРОФЕССИОНАЛЬНО-ОРИЕНТИРОВАННОГО СОЦИАЛЬНО-ПСИХОЛОГИЧЕСКОГО ТРЕНИНГА НА ПРОФЕССИОНАЛЬНОЕ САМООПРЕДЕЛЕНИЕ И ФОРМИРОВАНИЕ КОМПОНЕНТОВ Я-КОНЦЕПЦИИ ЛИЧНОСТИ СТАРШЕКЛАССНИКОВ.
ВЛИЯНИЕ ПСИХОДИНАМИЧЕСКИХ СВОЙСТВ ЛИЧНОСТИ НА АКАДЕМИЧЕСКУЮ УСПЕВАЕМОСТЬ СТУДЕНТОВ.
ВЛИЯНИЕ ПСИХОЛОГИЧЕСКИХ ХАРАКТЕРИСТИК ЛИЧНОСТИ НА ПОДВЕРЖЕННОСТЬ К РЕКЛАМНОМУ ВОЗДЕЙСТВИЮ.
ВЛИЯНИЕ РОДИТЕЛЬСКИХ (МАТЕРИНСКИХ) УСТАНОВОК НА ЖИЗНЕСТОЙКОСТЬ ЛИЧНОСТИ ГИПЕРАКТИВНЫХ ПОДРОСТКОВ.
ВЛИЯНИЕ СЕМЕЙНОГО КЛИМАТА НА РАЗВИТИЕ ЛИЧНОСТИ СОВРЕМЕННОГО СТУДЕНТА.
ВЛИЯНИЕ СЕМЕЙНЫХ КОНФЛИКТОВ НА ФОРМИРОВАНИЕ И РАЗВИТИЕ ЛИЧНОСТИ РЕБЕНКА.
ВЛИЯНИЕ СЕМЬИ НА РАЗВИТИЕ ЛИЧНОСТИ РЕБЕНКА.
ВЛИЯНИЕ СМИ НА ФОРМИРОВАНИЕ ЛИЧНОСТИ МЛАДШИХ ПОДРОСТКОВ КАК ПЕДАГОГИЧЕСКАЯ ПРОБЛЕМА.
ВЛИЯНИЕ СОВРЕМЕННЫХ СРЕДСТВ ИНФОРМАЦИОННОГО ПРОСТРАНСТВА НА ФОРМИРОВАНИЕ ОБЩЕЙ КУЛЬТУРЫ ЛИЧНОСТИ СТУДЕНТА.
ВЛИЯНИЕ СОЦИАЛЬНЫХ СЕТЕЙ НА РАЗВИТИЕ ЛИЧНОСТИ НЕСОВЕРШЕННОЛЕТНИХ.
ВЛИЯНИЕ СПОРТА НА ФОРМИРОВАНИЕ ЛИЧНОСТИ.
ВЛИЯНИЕ СПОРТИВНОЙ МОТИВАЦИИ НА САМООЦЕНКУ ВОЛЕВЫХ КАЧЕСТВ ЛИЧНОСТИ СПОРСТМЕНОВ-ЕДИНОБОРЦЕВ.
ВЛИЯНИЕ ТВОРЧЕСКОГО ПОТЕНЦИАЛА НА РАЗВИТИЕ ЛИЧНОСТИ СТАРШЕКЛАССНИКА.
ВЛИЯНИЕ ТЕМПЕРАМЕНТА ЛИЧНОСТИ НА ОТНОШЕНИЕ К ЭЛЕКТИВНЫМ КУРСАМ ПО ФИЗИЧЕСКОЙ КУЛЬТУРЕ И СПОРТУ В ВУЗЕ.
ВЛИЯНИЕ ТЕХНОЛОГИИ ФИЗИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ МЛАДШИХ ШКОЛЬНИКОВ НА ПСИХОЭМОЦИОНАЛЬНОЕ СОСТОЯНИЕ.
ВЛИЯНИЕ ТИПА ЛИЧНОСТИ УЧАЩИХСЯ НА ИЗУЧЕНИЕ ИНОСТРАННЫХ ЯЗЫКОВ.
ВЛИЯНИЕ ТИПА ТЕМПЕРАМЕНТА ЛИЧНОСТИ СТУДЕНТА НА ВЫБОР СТРАТЕГИИ ПОВЕДЕНИЯ В КОНФЛИКТНОЙ СИТУАЦИИ.
ВЛИЯНИЕ ФИЗИЧЕСКОЙ КУЛЬТУРЫ И СПОРТА НА ФОРМИРОВАНИЕ ТОЛЕРАНТНОЙ ЛИЧНОСТИ СТУДЕНТА.
ВЛИЯНИЕ ФИЗИЧЕСКОЙ КУЛЬТУРЫ НА ЗДОРОВЬЕ И РАЗВИТИЕ ЛИЧНОСТИ.
ВЛИЯНИЕ ФИЗИЧЕСКОЙ КУЛЬТУРЫ НА РАЗВИТИЕ И ФОРМИРОВАНИЕ ГАРМОНИЧЕСКИ РАЗВИТОЙ ЛИЧНОСТИ.
ВЛИЯНИЕ ФИЗИЧЕСКОЙ КУЛЬТУРЫ НА ФОРМИРОВАНИЕ ЛИЧНОСТИ.
ВЛИЯНИЕ ФИЗИЧЕСКОЙ ПОДГОТОВКИ НА ФОРМИРОВАНИЕ ЛИЧНОСТИ ВОЕННОСЛУЖАЩЕГО.
ВЛИЯНИЕ ХАРАКТЕРОЛОГИЧЕСКИХ ОСОБЕННОСТЕЙ ЛИЧНОСТИ ПЕДАГОГА НА ПОВЕДЕНИЕ В КОНФЛИКТНОЙ СИТУАЦИИ.
ВЛИЯНИЕ ЭМОЦИОНАЛЬНОГО ИНТЕЛЛЕКТА НА ХАРАКТЕРИСТИКИ САМОАКТУАЛИЗИРУЮЩЕЙСЯ ЛИЧНОСТИ И ЦЕННОСТНЫЕ ОРИЕНТАЦИИ МЕНЕДЖЕРОВ КОМПАНИИ.
ВЛИЯНИЕ ЭМОЦИОНАЛЬНОГО СОСТОЯНИЯ И СВОЙСТВ ЛИЧНОСТИ НА ФИЗИЧЕСКУЮ ПОДГОТОВКУ МОЛОДЕЖИ.
ВЛИЯНИЕ ЭМОЦИОНАЛЬНОГО СТРЕССА НА РАЗВИТИЕ ЛИЧНОСТИ ПОДРОСТКА.
ВЛИЯНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ НА РЕАЛИЗАЦИЮ ПЕРЕВОДЧЕСКОЙ ДЕЯТЕЛЬНОСТИ (НА МАТЕРИАЛЕ СОВРЕМЕННЫХ СМИ).
ВЛИЯНИЕ ЯЗЫКОВОЙ СИТУАЦИИ НА ИЗМЕНЕНИЯ ОБОБЩЕННЫХ ХАРАКТЕРИСТИК ЯЗЫКОВОЙ ЛИЧНОСТИ ДВУЯЗЫЧНЫХ УЧАЩИХСЯ (РУССКО-ЭСТОНСКИЙ БИЛИНГВИЗМ) ПОЛУЧАЮЩИХ ОБРАЗОВАНИЕ НА ЭСТОНСКОМ ЯЗЫКЕ.
ВЛИЯНИЕ IT-ТЕХНОЛОГИЙ НА РАЗВИТИЕ ЛИЧНОСТИ СТУДЕНТА ВЫСШЕЙ ШКОЛЫ.
ВЛИЯНИЯ СТИЛЯ ПЕДАГОГИЧЕСКОГО ОБЩЕНИЯ НА РАЗВИТИЕ ЛИЧНОСТИ МЛАДШЕГО ШКОЛЬНИКА.
ВНУТРИПРЕДМЕТНАЯ ИНТЕГРАЦИЯ КАК СРЕДСТВО РАЗВИТИЯ ПОЛИКУЛЬТУРНОЙ ЛИЧНОСТИ МЛАДШЕГО ШКОЛЬНИКА НА УРОКАХ МУЗЫКИ.
ВОВЛЕЧЁННОСТЬ СТУДЕНТОВ ВО ВНЕУЧЕБНУЮ ДЕЯТЕЛЬНОСТЬ В ФОРМИРОВАНИИ ЛИЧНОСТИ БУДУЩЕГО ВРАЧА (НА ПРИМЕРЕ ОБУЧАЮЩИХСЯ КГМУ).
ВОЕННЫЕ ФИЛЬМЫ СОВЕТСКОЙ ЭПОХИ КАК СРЕДСТВО МОРАЛЬНО-НРАВСТВЕННОГО ВОСПИТАНИЯ ЛИЧНОСТИ.
ВОЗДЕЙСТВИЕ МУЗЫКАЛЬНОЙ КУЛЬТУРЫ НА ФАКТОР ДУХОВНОЙ ЖИЗНИ ЛИЧНОСТИ.
ВОЗДЕЙСТВИЕ ФИЗИЧЕСКОЙ КУЛЬТУРЫ НА ГАРМОНИЧНОЕ РАЗВИТИЕ ЛИЧНОСТИ.
ВОЗМОЖНОСТИ ВНЕАУДИТОРНОЙ РАБОТЫ В СТИМУЛИРОВАНИИ САМОРАЗВИТИЯ ЛИЧНОСТИ: МЕТОДИКО-МАТЕМАТИЧЕСКИЙ КОМПОНЕНТ.
ВОЗМОЖНОСТИ МЫСЛЕДЕЯТЕЛЬНОСТНОЙ ПЕДАГОГИКИ В ФОРМИРОВАНИИ ИННОВАЦИОННОГО ТИПА ЛИЧНОСТИ ПЕДАГОГА.
ВОЗМОЖНОСТИ ПЕДАГОГИЧЕСКОГО УПРАВЛЕНИЯ МОТИВАЦИОННО-ЦЕННОСТНОЙ СФЕРОЙ ЛИЧНОСТИ ЗАНИМАЮЩИХСЯ АЙКИДО.
ВОЗМОЖНОСТИ ФИЗИЧЕСКОЙ КУЛЬТУРЫ И СПОРТА В ВОСПИТАНИИ ЛИЧНОСТИ ЧЕЛОВЕКА.
ВОЗМОЖНОСТЬ ПОВЫШЕНИЯ ОБЩЕЙ АДАПТИВНОСТИ ЛИЧНОСТИ СТУДЕНТОВ-ПСИХОЛОГОВ КАК ПРОЯВЛЕНИЕ КОНФЛИКТОУСТОЙЧИВОСТИ.
ВОИНСКИЕ РИТУАЛЫ И ИХ ВОСПИТАТЕЛЬНАЯ РОЛЬ В СТАНОВЛЕНИИ ЛИЧНОСТИ КУРСАНТОВ ВОЙСК НАЦИОНАЛЬНОЙ ГВАРДИИ РОССИЙСКОЙ ФЕДЕРАЦИИ.
ВОКАЛЬНО-ХОРОВОЕ ОБУЧЕНИЕ МЛАДШИХ ШКОЛЬНИКОВ КАК СПОСОБ ВОСПИТАНИЯ СОЦИАЛЬНО-АКТИВНОЙ ЛИЧНОСТИ.
ВОЛОНТЕРСКАЯ ДЕЯТЕЛЬНОСТЬ КАК СРЕДСТВО РАЗВИТИЯ СОЦИАЛЬНОЙ АКТИВНОСТИ ЛИЧНОСТИ.
ВОПРОСЫ ПРОФЕССИОНАЛЬНОГО ОБУЧЕНИЯ С УЧЕТОМ ПОТРЕБНОСТЕЙ ЛИЧНОСТИ ПРИ ВЫБОРЕ ДИЗАЙНЕРСКОГО ФОРМООБРАЗОВАНИЯ.
ВОСПИТАНИЕ ГАРМОНИЧНО РАЗВИТОЙ И СОЦИАЛЬНО ОТВЕТСТВЕННОЙ ЛИЧНОСТИ СТУДЕНТА КОЛЛЕДЖА КАК БУДУЩЕГО КОНКУРЕНТОСПОСОБНОГО ВОСТРЕБОВАННОГО СПЕЦИАЛИСТА.
ВОСПИТАНИЕ ГАРМОНИЧНО РАЗВИТОЙ ЛИЧНОСТИ ДОШКОЛЬНИКА СРЕДСТВАМИ ЭКОЛОГИИ.
ВОСПИТАНИЕ ГРАЖДАНИНА-ПАТРИОТА И ФОРМИРОВАНИЕ ГРАЖДАНСКО-ПАТРИОТИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ.
ВОСПИТАНИЕ ДИСЦИПЛИНИРОВАННОСТИ ЛИЧНОСТИ КУРСАНТА ВОЕННОГО ВУЗА КАК ЦЕННОСТНОГО ОТНОШЕНИЯ К ЧЕЛОВЕКУ.
ВОСПИТАНИЕ И РАЗВИТИЕ ЛИЧНОСТИ В УЧЕБНОМ ЗАВЕДЕНИИ.
ВОСПИТАНИЕ КОНКУРЕНТОСПОСОБНОЙ ЛИЧНОСТИ В РАМКАХ ПРОГРАММЫ “РУХАНИ ЖАҢҒЫРУ“.
ВОСПИТАНИЕ ЛИЧНОСТИ В ПРОЦЕССЕ ПРОФЕССИОНАЛЬНОЙ СОЦИАЛЬНО-ПЕДАГОГИЧЕСКОЙ ПОДГОТОВКИ СТУДЕНТОВ.
ВОСПИТАНИЕ ЛИЧНОСТИ В СОЦИОКУЛЬТУРНОМ ИНФОРМАЦИОННОМ ПРОСТРАНСТВЕ: ЕГО ПОТЕНЦИАЛ И НЕГАТИВНОЕ ВЛИЯНИЕ.
ВОСПИТАНИЕ ЛИЧНОСТИ ГРАЖДАНИНА В ИНОЯЗЫЧНОЙ ПОДГОТОВКЕ БАКАЛАВРА В ПОЛИКУЛЬТУРНОЙ СРЕДЕ ВУЗА.
ВОСПИТАНИЕ ЛИЧНОСТИ СТУДЕНТА СРЕДСТВАМИ ФИЗИЧЕСКОЙ КУЛЬТУРЫ И СПОРТА.
ВОСПИТАНИЕ ЛИЧНОСТИ ШКОЛЬНИКА НА УРОКАХ РУССКОГО ЯЗЫКА И ЛИТЕРАТУРЫ.
ВОСПИТАНИЕ ПРОФЕССИОНАЛЬНО-ЗНАЧИМЫХ ВОЛЕВЫХ КАЧЕСТВ У СТУДЕНТОВ КАК ОСНОВЫ ОРГАНИЗАЦИОННОЙ КУЛЬТУРЫ ЛИЧНОСТИ В ФИЗКУЛЬТУРНО-СПОРТИВНОМ СОВЕРШЕНСТВОВАНИИ.
ВОСПИТАНИЕ СОЦИАЛЬНО-АКТИВНОЙ ЛИЧНОСТИ РЕБЕНКА СРЕДСТВАМИ ИНФОРМАЦИОННО- КОММУНИКАЦИОННЫХ ТЕХНОЛОГИЙ И РОБОТОТЕХНИКИ.
ВОСПИТАНИЕ ТОЛЕРАНТНОСТИ КАК СОЦИАЛЬНО ЗНАЧИМОГО КАЧЕСТВА ЛИЧНОСТИ В СИСТЕМЕ МЕЖНАЦИОНАЛЬНОГО ОБЩЕНИЯ.
ВОСПИТАНИЕ ЦЕЛОСТНОЙ ЛИЧНОСТИ КАК ЗАДАЧА ВЫСШЕГО ОБРАЗОВАНИЯ.
ВОСПИТАТЕЛЬНАЯ РАБОТА В ВЫСШЕЙ ШКОЛЕ КАК ФАКТОР ФОРМИРОВАНИЯ И РАЗВИТИЯ ЛИЧНОСТИ БУДУЩИХ СПЕЦИАЛИСТОВ.
ВОСПИТАТЕЛЬНАЯ РАБОТА КАК ФАКТОР СТАНОВЛЕНИЯ ЛИЧНОСТИ БУДУЩИХ СОТРУДНИКОВ ПОЛИЦИИ.
ВОСПИТАТЕЛЬНАЯ СИСТЕМА ШКОЛЫ КАК ВАЖНЕЙШЕЕ УСЛОВИЕ СОЗДАНИЯ СРЕДЫ САМОРАЗВИТИЯ ЛИЧНОСТИ.
ВОСПИТАТЕЛЬНОЕ ВОЗДЕЙСТВИЕ ПРАКТИЧЕСКОЙ СТРЕЛЬБЫ НА ВСЕСТОРОННЕЕ РАЗВИТИЕ ЛИЧНОСТИ СПОРТСМЕНА-СТРЕЛКА.
ВОСПИТЫВАЮЩАЯ СРЕДА ОБРАЗОВАТЕЛЬНОЙ ОРГАНИЗАЦИИ КАК УСЛОВИЕ СТАНОВЛЕНИЯ ЛИЧНОСТИ БУДУЩЕГО СПЕЦИАЛИСТА.
ВОСПРИЯТИЕ СИТУАЦИИ ПРЕОДОЛЕНИЯ ТРУДНОСТЕЙ КАК ВОЗМОЖНОСТИ ДЛЯ САМОРАЗВИТИЯ ЛИЧНОСТИ.
ВОССТАНОВЛЕНИЕ НРАВСТВЕННОГО ЗДОРОВЬЯ ЛИЧНОСТИ ПОДРОСТКА КАК АКМЕОЛОГИЧЕСКАЯ ПРОБЛЕМА.
ВРЕМЕННАЯ КОМПЕТЕНТНОСТЬ В СТРУКТУРЕ ЛИЧНОСТИ СТУДЕНТОВ СКЛОННЫХ К АКАДЕМИЧЕСКОЙ ПРОКРАСТИНАЦИИ.
ВРЕМЕННАЯ ПЕРСПЕКТИВА ЛИЧНОСТИ В ЮНОШЕСКОМ ВОЗРАСТЕ: ВЗАИМОСВЯЗЬ С КОПИНГ-СТРАТЕГИЯМИ.
ВТОРИЧНАЯ МУЗЫКАЛЬНАЯ ЛИЧНОСТЬ В ПРОСТРАНСТВЕ ЭЛИТАРНОГО ОБРАЗОВАНИЯ: ЭСТЕТИКО-СЕМИОТИЧЕСКИЙ ПОДХОД.
ВТОРИЧНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ И МЕТОДИКА ЕЕ ФОРМИРОВАНИЯ В ПРОЦЕССЕ ОБУЧЕНИЯ ИНОСТРАННОМУ ЯЗЫКУ В НЕЯЗЫКОВОМ ВУЗЕ.
ВУЗ КАК ФАКТОР СТАНОВЛЕНИЯ ЛИЧНОСТИ СТУДЕНТА.
ГАРМОНИЗАЦИЯ ЛИЧНОСТИ КАК ЭЛЕМЕНТ ПРОФЕССИОНАЛЬНОГО РАЗВИТИЯ ПРЕПОДАВАТЕЛЯ СОВРЕМЕННОГО ВУЗА.
ГАРМОНИЧЕСКАЯ ЛИЧНОСТЬ: СТРУКТУРА МЕХАНИЗМЫ РАЗВИТИЯ ИНДИВИДУАЛЬНЫЕ РАЗЛИЧИЯ.
ГАРМОНИЧНОЕ ЛИЧНОСТНОЕ САМОРАЗВИТИЕ КАК ЦЕЛЬ СТАНОВЛЕНИЯ СУБЪЕКТНОСТИ ФИЗИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ.
ГАРМОНИЧНОЕ РАЗВИТИЕ ЛИЧНОСТИ ЗА СЧЕТ ЗДОРОВОГО ОБРАЗА ЖИЗНИ.
ГАРМОНИЧНОЕ РАЗВИТИЕ ЛИЧНОСТИ КУРСАНТОВ ЗА СЧЕТ ЗДОРОВОГО ОБРАЗА ЖИЗНИ.
ГЕНДЕРНАЯ СПЕЦИФИКА НАПРАВЛЕННОСТИ ЛИЧНОСТИ В ОБЩЕНИИ.
ГЕНДЕРНЫЕ ОСОБЕННОСТИ ПРОЯВЛЕНИЯ АГРЕССИВНОСТИ ЛИЧНОСТИ У ДЕВОЧЕК-ПОДРОСТКОВ.
ГЕНДЕРНЫЕ ПРОЯВЛЕНИЯ ОСОБЕННОСТЕЙ ЛИЧНОСТИ ЮНЫХ ПРЫГУНОВ В ВОДУ В ЗАВИСИМОСТИ ОТ УСПЕШНОСТИ В СПОРТЕ.
ГЕНДЕРНЫЕ РАЗЛИЧИЯ ТРЕВОЖНОСТИ ЛИЧНОСТИ И СОЦИАЛЬНО-ПСИХОЛОГИЧЕСКОЙ АДАПТИРОВАННОСТИ У ПОДРОСТКОВ.
ГЕНЕЗИС МУЗЕЙНОЙ ПЕДАГОГИКИ ЕГО ЗНАЧЕНИЕ В ПОСТРОЕНИИ СОВРЕМЕННЫХ ОБРАЗОВАТЕЛЬНЫХ ПРОГРАММ И ОБЩЕКУЛЬТУРНОМ ФОРМИРОВАНИИ ЛИЧНОСТИ.
ПСИХОЛОГИЧЕСКИЕ ОСОБЕННОСТИ ФОРМИРОВАНИЯ ПРОФЕССИОНАЛЬНОЙ ДЕФОРМАЦИИ ЛИЧНОСТИ СУБЪЕКТА ТРУДА В УСЛОВИЯХ ГЛОБАЛИЗАЦИИ.
МОДЕЛИРОВАНИЕ КАК МЕТОД ИССЛЕДОВАНИЯ ЛИЧНОСТИ РУКОВОДИТЕЛЯ В ПСИХОЛОГИИ ТРУДА.
МЕТОДОЛОГИЧЕСКИЕ ОСНОВЫ ПРОФЕССИОНАЛЬНОГО РАЗВИТИЯ ЛИЧНОСТИ: ОПЫТ ОРГАНИЗАЦИИ И ТЕНДЕНЦИИ РАЗВИТИЯ.
ГОТОВНОСТЬ К САМОВОСПИТАНИЮ КАК РЕЗУЛЬТАТ СОВЕРШЕНСТВОВАНИЯ ЛИЧНОСТИ СОТРУДНИКА ПОЛИЦИИ.
ГРАЖДАНСКО-ПАТРИОТИЧЕСКОЕ ВОСПИТАНИЕ ЛИЧНОСТИ ОБУЧАЮЩИХСЯ В КОНТЕКСТЕ ЦЕЛЕВОЙ ПРОГРАММЫ УНИВЕРСИТЕТА.
ГУМАНИЗАЦИЯ ОБРАЗОВАНИЯ КАК ОСНОВНАЯ ДЕТЕРМИНАНТА РАЗВИТИЯ ЛИЧНОСТИ.
ГУМАНИСТИЧЕСКИЕ ВЗГЛЯДЫ НА ВОСПИТАНИЕ ЛИЧНОСТИ И ДУХОВНО-НРАВСТВЕННОЕ УЧЕНИЕ ТОЛСТОГО.
ГУМАНИСТИЧЕСКИЙ ПОДХОД К СУЩНОСТИ ПОНЯТИЯ СОЦИОКУЛЬТУРНОЕ РАЗВИТИЕ ЛИЧНОСТИ.
ДВИЖУЩИЕ СИЛЫ САМОРАЗВИТИЯ ЛИЧНОСТИ ПОДРОСТКА В ПРОЦЕССЕ САМОВОСПИТАНИЯ.
ДЕМОНСТРАТИВНЫЙ СУИЦИД У ПОДРОСТКОВ С ДЕСТРУКТИВНЫМИ ЧЕРТАМИ ЛИЧНОСТИ ПО ИСТЕРОИДНОМУ ТИПУ.
ДЕПРИВАЦИЯ В СЕМЬЕ ЕЕ ВЛИЯНИЕ НА РАЗВИТИЕ ЛИЧНОСТИ ПОДРОСТКА.
ДЕСТРУКТИВНЫЕ ПРОЯВЛЕНИЯ В ПРОФЕССИОНАЛЬНОЙ ДЕЯТЕЛЬНОСТИ ЛИЧНОСТИ.
ДЕТСКОЕ ВОЛОНТЕРСКОЕ ДВИЖЕНИЕ КАК СРЕДСТВО ВОСПИТАНИЯ ДУХОВНО-НРАВСТВЕННЫХ КАЧЕСТВ ЛИЧНОСТИ.
ДЕЯТЕЛЬНОСТНО-ВАЖНЫЕ И ДЕЯТЕЛЬНОСТНО-ЗНАЧИМЫЕ КАЧЕСТВА ЛИЧНОСТИ В ЭКОНОМИЧЕСКОЙ ДЕЯТЕЛЬНОСТИ.
ДЕЯТЕЛЬНОСТЬ ШКОЛЬНОГО ИСТОРИЧЕСКОГО МУЗЕЯ В ВОСПИТАНИИ ЛИЧНОСТИ УЧАЩЕГОСЯ.
ДИАГНОСТИКА НРАВСТВЕННОГО САМОРАЗВИТИЯ ЛИЧНОСТИ ОБУЧАЮЩИХСЯ ИЗ КАТЕГОРИЙ СОЦИАЛЬНОГО РИСКА.
ДИАГНОСТИЧЕСКИЙ КОМПЛЕКС ИЗУЧЕНИЯ ПОТЕНЦИАЛА ПРОФЕССИОНАЛЬНОГО РАЗВИТИЯ ЛИЧНОСТИ ОБУЧАЮЩИХСЯ 8-9 КЛАССОВ.
ДИАЛОГ РУССКОГО И АНГЛИЙСКОГО ЯЗЫКОВ ПРИ ИНТЕГРАЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТА ИЗ АРАБСКОГО МИРА В РОССИЙСКОЕ ОБРАЗОВАТЕЛЬНОЕ ПРОСТРАНСТВО.
ДИЛЕММЫ ПРОФЕССИОНАЛЬНОЙ ИДЕНТИЧНОСТИ ЛИЧНОСТИ В СОВРЕМЕННЫХ СОЦИОКУЛЬТУРНЫХ УСЛОВИЯХ.
ДИНАМИКА САМООТНОШЕНИЯ ЛИЧНОСТИ В ПРОЦЕССЕ ПРОФЕССИОНАЛЬНОЙ СОЦИАЛИЗАЦИИ КУРСАНТОВ ВОЕННЫХ ОБРАЗОВАТЕЛЬНЫХ ОРГАНИЗАЦИЙ ВЫСШЕГО ОБРАЗОВАНИЯ ВОЙСК НАЦИОНАЛЬНОЙ ГВАРДИИ.
ДИНАМИЧЕСКИЙ И КОМПЕТЕНТНОСТНЫЙ АСПЕКТЫ МЕДИАОБРАЗОВАТЕЛЬНОЙ КОНЦЕПЦИИ РАЗВИТИЯ ГОТОВНОСТИ ЛИЧНОСТИ К САМООБУЧЕНИЮ В ТЕЧЕНИЕ ВСЕЙ ЖИЗНИ.
ДИСЦИПЛИНА ИНОСТРАННЫЙ ЯЗЫК КАК СРЕДСТВО РАЗВИТИЯ КОНКУРЕНТОСПОСОБНОЙ ЛИЧНОСТИ БУДУЩЕГО ИНЖЕНЕРА.
ДИСЦИПЛИНИРОВАННОСТЬ ЛИЧНОСТИ СПОРТСМЕНА КАК РЕЗУЛЬТАТ ЦЕННОСТНОГО ОТНОШЕНИЯ К ЧЕЛОВЕКУ.
ДИФФЕРЕНЦИАЛЬНЫЕ АСПЕКТЫ ОРГАНИЗАЦИИ МЕТАКОГНИТИВНОЙ СФЕРЫ ЛИЧНОСТИ УЧАЩИХСЯ ВЫСШИХ УЧЕБНЫХ ЗАВЕДЕНИИ.
ДОВЕРИЕ В СТРУКТУРЕ ПСИХОЛОГИЧЕСКОЙ БЕЗОПАСНОСТИ ЛИЧНОСТИ.
ДОСУГОВАЯ ДЕЯТЕЛЬНОСТЬ КАК СФЕРА РАЗВИТИЯ КОММУНИКАТИВНОЙ КУЛЬТУРЫ ЛИЧНОСТИ.
ДУАЛЬНАЯ СИСТЕМА ПРОФЕССИОНАЛЬНОГО ОБРАЗОВАНИЯ ЛИЧНОСТИ.
ДУХОВНО-НРАВСТВЕННОЕ ВОСПИТАНИЕ КАК ОСНОВА ФОРМИРОВАНИЯ ЛИЧНОСТИ В СИСТЕМЕ ДОПОЛНИТЕЛЬНОГО ОБРАЗОВАНИЯ.
ДУХОВНО-НРАВСТВЕННОЕ ВОСПИТАНИЕ ЛИЧНОСТИ КАК СОЦИАЛЬНОЕ И ПЕДАГОГИЧЕСКОЕ ЯВЛЕНИЕ В ВЫСШЕЙ ШКОЛЕ.
ДУХОВНО-НРАВСТВЕННОЕ ВОСПИТАНИЕ ЛИЧНОСТИ: ВЗАИМОДЕЙСТВИЕ СЕМЬИ И ШКОЛЫ.
ДУХОВНО-НРАВСТВЕННОЕ РАЗВИТИЕ ЛИЧНОСТИ.
ДУХОВНО-НРАВСТВЕННОЕ РАЗВИТИЕ ЛИЧНОСТИ В КОМПЕТЕНТНОСТНОМ ФОРМАТЕ.
ДУХОВНО-НРАВСТВЕННОЕ РАЗВИТИЕ ЛИЧНОСТИ КАК ВОСПИТАТЕЛЬНАЯ МИССИЯ УНИВЕРСИТЕТА.
ДУХОВНО-НРАВСТВЕННОЕ СТАНОВЛЕНИЕ И РАЗВИТИЕ ЛИЧНОСТИ УЧИТЕЛЯ.
ДУХОВНО-НРАВСТВЕННОЕ СТАНОВЛЕНИЕ ЛИЧНОСТИ УЧИТЕЛЯ.
ДУХОВНО-НРАВСТВЕННЫЕ КАЧЕСТВА ЛИЧНОСТИ ПЕДАГОГОВ РАБОТАЮЩИХ В СФЕРЕ ИНКЛЮЗИВНОГО ОБРАЗОВАНИЯ.
ДУХОВНОСТЬ И НРАВСТВЕННОЕ СОСТОЯНИЕ ЛИЧНОСТИ МЕДИЦИНСКОЙ СЕСТРЫ.
ДУХОВНОСТЬ И НРАВСТВЕННОСТЬ ЛИЧНОСТИ В СВЕТСКОМ И ПРАВОСЛАВНОМ КОНТЕКСТАХ.
ДУХОВНОСТЬ ЧЕЛОВЕКА КАК ЦЕННОСТНАЯ ИНТЕНЦИЯ ЛИЧНОСТИ.
ЖИЗНЕННАЯ ПОЗИЦИЯ ЛИЧНОСТИ: ОТ ТЕОРИИ К ОПЕРАЦИОНАЛИЗАЦИИ.
ЖИЗНЕСТОЙКОСТЬ ЛИЧНОСТИ КАК СОЦИАЛЬНЫЙ ФЕНОМЕН (ОПЫТ ФИЛОСОФСКОГО И ПСИХОЛОГО-ПЕДАГОГИЧЕСКОГО АНАЛИЗА).
ЗАИМСТВОВАНИЯ КАК ПАТТЕРНЫ РЕЧЕВОГО ПОВЕДЕНИЯ РЕАЛЬНОЙ И ВИРТУАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ.
ЗАКОНОМЕРНОСТИ РАЗВИТИЯ ПРОФЕССИОНАЛЬНОЙ САМОРЕАЛИЗАЦИИ ЛИЧНОСТИ.
ЗАРУБЕЖНЫЕ ТЕОРИИ РАЗВИТИЯ ЛИЧНОСТИ КАК МЕТОДОЛОГИЧЕСКИЕ ПРЕДПОСЫЛКИ МОДЕРНИЗАЦИИ СИСТЕМЫ ПОВЫШЕНИЯ ПРОФЕССИОНАЛЬНОЙ КОМПЕТЕНЦИИ ПЕДАГОГА.
ЗДОРОВЫЙ ОБРАЗ ЖИЗНИ СТУДЕНЧЕСКОЙ МОЛОДЕЖИ КАК ФАКТОР ДУХОВНО-НРАВСТВЕННОГО ВОСПИТАНИЯ ЛИЧНОСТИ.
ЗДОРОВЫЙ ОБРАЗ ЖИЗНИ ЧЕЛОВЕКА КАК ПОКАЗАТЕЛЬ КУЛЬТУРЫ ЕГО ЛИЧНОСТИ.
ЗДОРОВЬЕ КАК ВАЖНЫЙ ФАКТОР ДУХОВНОГО И ФИЗИЧЕСКОГО РАЗВИТИЯ ЛИЧНОСТИ.
ЗНАЧЕНИЕ ОЦЕНКИ ПОРТФОЛИО В РАЗВИТИИ ЛИЧНОСТИ.
ЗНАЧЕНИЕ ПРОЦЕССА ВНИМАНИЯ В ФОРМИРОВАНИИ КАК ЛИЧНОСТИ ДЕТЕЙ МЛАДШЕГО ШКОЛЬНОГО ВОЗРАСТА.
ЗНАЧЕНИЕ СПОРТА В СТАНОВЛЕНИИ ЛИЧНОСТИ КУРСАНТА ВОЕННОГО ВУЗА.
ЗНАЧЕНИЕ ФИЗИЧЕСКОЙ КУЛЬТУРЫ В ВОСПИТАНИИ ЛИЧНОСТИ.
ЗНАЧЕНИЕ ФИЗИЧЕСКОЙ КУЛЬТУРЫ В ВОСПИТАНИИ ЛИЧНОСТИ.
ЗНАЧЕНИЕ ФИЗИЧЕСКОЙ КУЛЬТУРЫ В ВОСПИТАНИИ ЛИЧНОСТИ.
ЗНАЧЕНИЕ ЭТИЧЕСКОЙ СОСТАВЛЯЮЩЕЙ В ФОРМИРОВАНИИ ЛИЧНОСТИ БУДУЩЕГО ВРАЧА.
ЗНАЧИМОСТЬ САМООЦЕНКИ ЛИЧНОСТИ ПОДРОСТКА В РАМКАХ УЧЕБНОЙ ДЕЯТЕЛЬНОСТИ.
ИГРА В ЖИЗНИ СОВРЕМЕННОГО ДОШКОЛЬНИКА И ЕЁ ВЛИЯНИЕ НА ФОРМИРОВАНИЕ ЕГО ЛИЧНОСТИ.
ИДЕИ ЭТНОПЕДАГОГИКИ В ДУХОВНОМ СТАНОВЛЕНИИ ЛИЧНОСТИ.
ИДЕНТИФИКАЦИЯ САМОАКТУАЛИЗАЦИЯ И САМОРЕАЛИЗАЦИЯ ЛИЧНОСТИ В ПРОФЕССИОНАЛЬНОЙ ДЕЯТЕЛЬНОСТИ С ПОЗИЦИЙ ОНТОДИДАКТИКИ.
ИДЕНТИЧНОСТЬ ЛИЧНОСТИ В СТРУКТУРЕ САМОСОЗНАНИЯ: ЭТНИЧЕСКИЙ АСПЕКТ.
ИДЕНТИЧНОСТЬ ЛИЧНОСТИ СТУДЕНТА В ГОРИЗОНТАХ СПОРТИВНОГО МИРА (ПО ИТОГАМ ОПРОСА СТУДЕНТОВ).
ИДЕЯ НЕПРЕРЫВНОГО ОБРАЗОВАНИЯ ЛИЧНОСТИ: ИСТОКИ И СОВРЕМЕННОСТЬ.
ИЕРАРХИЧЕСКАЯ МОДЕЛЬ ЭФФЕКТИВНОГО ЦЕЛЕПОЛАГАНИЯ САМОРЕАЛИЗАЦИИ ЛИЧНОСТИ.
ИЗМЕНЕНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ ПРИ ИЗУЧЕНИИ ИНОСТРАННОГО ЯЗЫКА.
ИЗМЕНЕННЫЕ ЧЕРТЫ ХАРАКТЕРА ПРЕПОДАВАТЕЛЕЙ ЙОГИ КАК ДЕФОРМАЦИЯ ЛИЧНОСТИ В ПРОФЕССИОНАЛЬНОЙ ДЕЯТЕЛЬНОСТИ.
ИЗОБРАЗИТЕЛЬНОЕ ИСКУССТВО И ДИЗАЙН КАК ОДИН ИЗ МЕТОДОВ РАЗВИТИЯ ТВОРЧЕСКОЙ ЛИЧНОСТИ.
ИЗУЧЕНИЕ ВОЗМОЖНОСТЕЙ ПРИМЕНЕНИЯ КОУЧ-ТЕХНОЛОГИЙ В ОБРАЗОВАНИИ КАК СРЕДСТВО САМОРАЗВИТИЯ ЛИЧНОСТИ МАГИСТРАНТОВ ПСИХОЛОГО-ПЕДАГОГИЧЕСКОГО НАПРАВЛЕНИЯ ПОДГОТОВКИ.
ИЗУЧЕНИЕ ГОТОВНОСТИ ВЫПУСКНИКОВ ПЕДВУЗА К ВЗАИМОДЕЙСТВИЮ С СЕТЕВОЙ ЛИЧНОСТЬЮ.
ИЗУЧЕНИЕ ГОТОВНОСТИ СТАРШЕКЛАССНИКОВ К ПРОФЕССИОНАЛЬНОМУ САМООПРЕДЕЛЕНИЮ ЛИЧНОСТИ (В РАМКАХ НИП ПОДГОТОВКА К ПРОФЕССИОНАЛЬНОМУ САМООПРЕДЕЛЕНИЮ ДЕТЕЙ-СИРОТ С ОВЗ).
ИЗУЧЕНИЕ ИНОСТРАННОГО ЯЗЫКА В ВУЗЕ КАК СРЕДСТВО ФОРМИРОВАНИЯ И РАЗВИТИЯ ДУХОВНО-НРАВСТВЕННЫХ СТОРОН ЛИЧНОСТИ СОВРЕМЕННОГО СТУДЕНТА.
ИЗУЧЕНИЕ ИСТОРИЧЕСКИХ ЛИЧНОСТЕЙ НА УРОКАХ ИСТОРИИ В СОВРЕМЕННОЙ ШКОЛЕ.
ИЗУЧЕНИЕ КУЛЬТУРЫ ЛИЧНОСТИ РЕБЕНКА СТАРШЕГО ДОШКОЛЬНОГО ВОЗРАСТА.
ИЗУЧЕНИЕ ЛИЧНОСТИ СТУДЕНТА В ПРОЦЕССЕ СОЦИАЛИЗАЦИИ И ВОСПИТАНИЯ В ЯЗЫКОВОМ ВУЗЕ.
ИЗУЧЕНИЕ НАРОДНЫХ ТРАДИЦИЙ КАК СРЕДСТВО РАЗВИТИЯ ОБРАЗА МИРА ЛИЧНОСТИ.
ИЗУЧЕНИЕ СВЯЗИ ЦЕННОСТНЫХ ОРИЕНТАЦИЙ И ПРОФЕССИОНАЛЬНОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ СТУДЕНТОВ-ПСИХОЛОГОВ.
ИНДИВИДУАЛИЗАЦИЯ СОВРЕМЕННОГО ОБРАЗОВАНИЯ КАК СРЕДСТВО ПОЛНОЦЕННОГО РАЗВИТИЯ ЛИЧНОСТИ И СТАБИЛИЗАЦИИ ЭКОНОМИКИ ГОСУДАРСТВА.
ИНДИВИДУАЛИСТИЧЕСКИЕ И КОЛЛЕКТИВИСТИЧЕСКИЕ ВЫБОРЫ ЛИЧНОСТИ КАК ЯВЛЕНИЕ СОЦИОКУЛЬТУРНОЙ ИДЕНТИФИКАЦИИ.
ИНДИВИДУАЛЬНО-ВОСПИТАТЕЛЬНАЯ РАБОТА С КУРСАНТАМИ ОБРАЗОВАТЕЛЬНЫХ ОРГАНИЗАЦИЙ ФСИН РОССИИ КАК ПСИХОЛОГО-ПЕДАГОГИЧЕСКОЕ УСЛОВИЕ ФОРМИРОВАНИЯ ЛИЧНОСТИ БУДУЩЕГО СОТРУДНИКА УГОЛОВНО-ИСПОЛНИТЕЛЬНОЙ СИСТЕМЫ.
ИНДИВИДУАЛЬНО-ПСИХОЛОГИЧЕСКИЕ ОСОБЕННОСТИ ЛИЧНОСТИ КАК ДЕТЕРМИНАНТЫ ЗАВИСТИ.
ИНДИВИДУАЛЬНО-ПСИХОЛОГИЧЕСКИЕ ОСОБЕННОСТИ ЛИЧНОСТИ КАК ДЕТЕРМИНАНТЫ ФОРМИРОВАНИЯ ПРОКРАСТИНАЦИИ.
ИНДИВИДУАЛЬНО-ПСИХОЛОГИЧЕСКИЕ ОСОБЕННОСТИ ЛИЧНОСТИ ВЛИЯЮЩИЕ НА ЭФФЕКТИВНОСТЬ И БЕЗОПАСНОСТЬ ДЕЯТЕЛЬНОСТИ НА ТРАНСПОРТЕ.
ИНДИВИДУАЛЬНО-ПСИХОЛОГИЧЕСКИЕ ОСОБЕННОСТИ ПЕРЕЖИВАНИЯ ЛИЧНОСТЬЮ СИТУАЦИИ ВОЕННОГО КОНФЛИКТА.
ИНДИВИДУАЛЬНОСТЬ И АРХЕТИП ЛИЧНОСТИ САМОСТЬ В ПОДРОСТКОВОМ И ЮНОШЕСКОМ ВОЗРАСТЕ.
ИННОВАЦИОННЫЕ МЕТОДЫ ОБУЧЕНИЯ КАК ФАКТОР РАЗВИТИЯ ЛИЧНОСТИ В ПРОЦЕССЕ ПРЕПОДАВАНИЯ ЭКОНОМИКИ В КОЛЛЕДЖЕ.
ИНОСТРАННЫЙ ЯЗЫК КАК СРЕДСТВО ФОРМИРОВАНИЯ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ.
ИНОЯЗЫЧНОЕ ОБЩЕНИЕ КАК САМООПРЕДЕЛЯЮЩИЙ ФАКТОР ПРОФЕССИОНАЛЬНОГО СТАНОВЛЕНИЯ ЛИЧНОСТИ МОЛОДОГО ЧЕЛОВЕКА.
ИНТЕГРАЦИЯ СОДЕРЖАНИЯ НАУЧНОГО НАПРАВЛЕНИЯ-БИОЭТИКИ С ПРОЦЕССОМ ОБРАЗОВАНИЯ И ВОСПИТАНИЯ ЛИЧНОСТИ.
ИНТЕГРИРОВАННЫЙ УРОК КАК СПОСОБ РАЗВИТИЯ ДУХОВНОЙ КУЛЬТУРЫ ЛИЧНОСТИ.
ИНТЕРНАЛЬНОСТЬ КАК ФАКТОР ОРГАНИЗАЦИИ МЕТАКОГНИТИВНОЙ СФЕРЫ ЛИЧНОСТИ В УПРАВЛЕНЧЕСКОЙ ДЕЯТЕЛЬНОСТИ.
ИНТЕРНЕТ-КОММУНИКАЦИИ: ПУТЬ КУЛЬТУРНОГО РАЗВИТИЯ ЛИЧНОСТИ ИЛИ СВОБОДА ВЫБОРА В ИНФОРМАЦИОННУЮ ЭПОХУ.
ИНТЕРНЕТ-СТРАНИЦА ПОЛЬЗОВАТЕЛЯ И ИЗУЧЕНИЕ ЕГО ЛИЧНОСТИ.
ИНТЕРПРЕТАЦИИ ЗНАЧИМОСТИ ЭСТЕТИЧЕСКОГО КРИТЕРИЯ В ХУДОЖЕСТВЕННОМ РАЗВИТИИ ЛИЧНОСТИ.
ИНФОРМАЦИОННАЯ БЕЗОПАСНОСТЬ ЛИЧНОСТИ КАК ПЕДАГОГИЧЕСКАЯ ПРОБЛЕМА.
ИНФОРМАЦИОННАЯ БЕЗОПАСНОСТЬ ЛИЧНОСТИ СУБЪЕКТОВ ОБРАЗОВАТЕЛЬНОГО ПРОЦЕССА.
ИНФОРМАЦИОННАЯ БЕЗОПАСНОСТЬ ЛИЧНОСТЬ В СЕТИ INTERNET.
ИНФОРМАЦИОННАЯ КОМПЕТЕНЦИЯ ЛИЧНОСТИ В ПОЛЕ ЕЕ САМОРАЗВИТИЯ.
ИНФОРМАЦИОННАЯ КОМПЕТЕНЦИЯ ЛИЧНОСТИ СТУДЕНТА КАК СОЦИОКУЛЬТУРНЫЙ ФЕНОМЕН ЦИФРОВОГО ОБЩЕСТВА.
ИНФОРМАЦИОННАЯ КУЛЬТУРА В СТРУКТУРЕ ДЕЯТЕЛЬНОСТИ И ЛИЧНОСТИ ПЕДАГОГА.
ИНФОРМАЦИОННАЯ КУЛЬТУРА ЛИЧНОСТИ.
ИНФОРМАЦИОННАЯ КУЛЬТУРА ЛИЧНОСТИ: АНАЛИЗ СУЩЕСТВУЮЩИХ НАУЧНЫХ ПОДХОДОВ К ТОЛКОВАНИЮ ПОНЯТИЯ.
ИНФОРМАЦИОННАЯ ЦИФРОВАЯ И SMART-КОМПЕТЕНЦИИ ЛИЧНОСТИ: ТРАНСФОРМАЦИЯ ВЗГЛЯДОВ.
ИНФОРМАЦИОННО-КОММУНИКАТИВНАЯ КОМПЕТЕНТНОСТЬ КАК НЕОБХОДИМАЯ СОСТАВЛЯЮЩАЯ ЛИЧНОСТИ БУДУЩЕГО ПЕДАГОГА В УСЛОВИЯХ ИНФОРМАЦИОННОГО ОБЩЕСТВА.
ИНФОРМАЦИОННО-ПСИХОЛОГИЧЕСКАЯ БЕЗОПАСНОСТЬ-ОСНОВА ФОРМИРОВАНИЯ ИНФОРМАЦИОННОЙ КУЛЬТУРЫ ЛИЧНОСТИ.
ИСКУССТВО ЗДРАВОТВОРЧЕСТВА ЛИЧНОСТИ: СОВРЕМЕННЫЕ ПСИХО- ЛОГИЧЕСКИЕ И ПЕДАГОГИЧЕСКИЕ АСПЕКТЫ.
ИСПОЛЬЗОВАНИЕ АКТИВНЫХ И ИНТЕРАКТИВНЫХ МЕТОДОВ НА УРОКАХ ОБЩЕСТВОЗНАНИЯ КАК СРЕДСТВО ФОРМИРОВАНИЯ ЛИЧНОСТИ УЧЕНИКА.
ИСПОЛЬЗОВАНИЕ АКТИВНЫХ МЕТОДОВ ОБУЧЕНИЯ В ПРОЦЕССЕ ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ БУДУЩИХ СОТРУДНИКОВ ПРАВООХРАНИТЕЛЬНЫХ ОРГАНОВ.
ИСПОЛЬЗОВАНИЕ КЛАССИФИКАТОРОВ ДЛЯ ЦЕЛЕЙ СУДЕБНО-МЕДИЦИНСКОЙ ИДЕНТИФИКАЦИИ ЛИЧНОСТИ (ДИАГНОСТИКИ ВОЗРАСТА).
ИСПОЛЬЗОВАНИЕ КЛАСТЕРНОГО ПОДХОДА В САМОРАЗВИТИИ ТВОРЧЕСКОЙ ЛИЧНОСТИ РЕБЕНКА.
ИСПОЛЬЗОВАНИЕ ПРОЕКТНОЙ ДЕЯТЕЛЬНОСТИ В ПРОЦЕССЕ ФОРМИРОВАНИЯ ПОЛИКУЛЬТУРНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ ШКОЛЬНИКОВ.
ИСПОЛЬЗОВАНИЕ ТИПОЛОГИИ ЛИЧНОСТИ ПРИ ФОРМИРОВАНИИ КОМАНДЫ ПРОЕКТНОЙ ДЕЯТЕЛЬНОСТИ.
ИССЛЕДОВАНИЕ ДУХОВНО-НРАВСТВЕННЫХ КАЧЕСТВ ЛИЧНОСТИ МЛАДШЕГО ШКОЛЬНИКА.
ИССЛЕДОВАНИЕ ИННОВАЦИОННОЙ АКТИВНОСТИ ЛИЧНОСТИ С ПОМОЩЬЮ МЕТОДА СУБЪЕКТИВНОЙ СЕМАНТИКИ.
ИССЛЕДОВАНИЕ МОРАЛЬНО-НРАВСТВЕННОЙ НАДЕЖНОСТИ ЛИЧНОСТИ СПЕЦИАЛИСТА В ПСИХОЛОГИИ.
ИССЛЕДОВАНИЕ ОСОБЕННОСТЕЙ СТРУКТУРЫ СМЫСЛОЖИЗНЕННЫХ ОРИЕНТАЦИЙ И НАПРАВЛЕННОСТИ ЛИЧНОСТИ СОВРЕМЕННЫХ СТУДЕНТОВ.
ИССЛЕДОВАНИЕ ПРОБЛЕМЫ ПСИХОЛОГИЧЕСКОЙ ЗАЩИТЫ ЛИЧНОСТИОТЕЧЕСТВЕННЫЙ И ЗАРУБЕЖНЫЙ ОПЫТ.
ИССЛЕДОВАНИЕ ПРОФЕССИОНАЛЬНОГО ТИПА ЛИЧНОСТИ БУДУЩИХ УЧИТЕЛЕЙ БИОЛОГИИ.
ИССЛЕДОВАНИЕ ПРОФЕССИОНАЛЬНОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ СТАРШЕКЛАССНИКОВ ОБЩЕОБРАЗОВАТЕЛЬНЫХ УЧРЕЖДЕНИЙ.
ИССЛЕДОВАНИЕ ПРОФЕССИОНАЛЬНОЙ ОРИЕНТАЦИИ МОЛОДЕЖИ И ВОЗМОЖНОСТИ ГАРМОНИЗАЦИИ ЖИЗНЕННОГО ЦИКЛА ЛИЧНОСТИ.
ИССЛЕДОВАНИЕ ПРОЦЕССА ФОРМИРОВАНИЯ ЛИЧНОСТИ СТУДЕНТА.
ИССЛЕДОВАНИЕ СТРУКТУРНОЙ ОРГАНИЗАЦИИ КРЕАТИВНОСТИ ЛИЧНОСТИ В УЧЕБНОЙ ДЕЯТЕЛЬНОСТИ.
ИССЛЕДОВАНИЕ ЭМОЦИОНАЛЬНОГО ИНТЕЛЛЕКТА И ПРОФЕССИОНАЛЬНОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ СТУДЕНТОВ ОБУЧАЮЩИХСЯ ПО СПЕЦИАЛЬНОСТИ ПСИХОЛОГИЯ СЛУЖЕБНОЙ ДЕЯТЕЛЬНОСТИ.
ИССЛЕДОВАНИЕ ЭМПАТИИ КАК ПСИХОЛОГИЧЕСКОГО КАЧЕСТВА ЛИЧНОСТИ У СТУДЕНТОВ ТЕХНОСФЕРНОЙ БЕЗОПАСНОСТИ В ПРОЦЕССЕ ПРОФЕССИОНАЛЬНОГО ОБРАЗОВАНИЯ.
ИСТОРИЧЕСКИЕ ЛИЧНОСТИ ХХ-НАЧАЛА ХХI ВЕКА НА СТРАНИЦАХ ШКОЛЬНЫХ УЧЕБНИКОВ ВСЕОБЩЕЙ ИСТОРИИ РОССИИ И БЕЛАРУСИ: К ПОСТАНОВКЕ ПРОБЛЕМЫ.
ИСТОЧНИКИ УГРОЗ ИНФОРМАЦИОННО-ПСИХОЛОГИЧЕСКОЙ БЕЗОПАСНОСТИ ЛИЧНОСТИ.
ЙЁНС ЯКОБ БЕРЦЕЛИУС: ШВЕДСКИЙ ЛОМОНОСОВ (ЖИЗНЕННЫЙ ПУТЬ УЧЕНОГО В КОНТЕКСТЕ ПЕДАГОГИКИ ЛИЧНОСТИ).
К ВОПРОСУ ВЗАИМОСВЯЗИ ЭМОЦИОНАЛЬНОГО ИНТЕЛЛЕКТА И ЦЕННОСТНЫХ ОРИЕНТАЦИЙ ЛИЧНОСТИ.
К ВОПРОСУ МОТИВАЦИОННОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ В СТУДЕНЧЕСКОМ СПОРТЕ.
К ВОПРОСУ О БЕЗОПАСНОСТИ И ПСИХОЛОГИЧЕСКОМ КОМФОРТЕ ЛИЧНОСТИ В ОБРАЗОВАТЕЛЬНОМ ПРОЦЕССЕ.
К ВОПРОСУ О ГРАЖДАНСКИХ КАЧЕСТВАХ ЛИЧНОСТИ ПОДРОСТКА.
К ВОПРОСУ О ЛИЧНОСТИ ВОЕННОГО КОМАНДИРА.
К ВОПРОСУ О МЕСТЕ МОТИВАЦИОННО-СМЫСЛОВЫХ ОБРАЗОВАНИЙ В СТРУКТУРЕ НАПРАВЛЕННОСТИ ЛИЧНОСТИ ИНЖЕНЕРОВ-ПЕРВОКУРСНИКОВ.
К ВОПРОСУ О МЕТОДАХ РАЗВИТИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТА В ПРОЦЕССЕ ОБУЧЕНИЯ ИНОСТРАННОМУ ЯЗЫКУ.
К ВОПРОСУ О ПРЕДНАЗНАЧЕНИИ ФИЗИЧЕСКОЙ КУЛЬТУРЫ КАК РЕАЛИЗАЦИОННОЙ КОНСТРУКЦИИ МОДЕЛИРОВАНИЯ ЛИЧНОСТИ. ФУНКЦИИ ФИЗИЧЕСКОЙ КУЛЬТУРЫ КАК ИСПОЛНИТЕЛЬНЫЕ МЕХАНИЗМЫ ФОРМИРОВАНИЯ ЛИЧНОСТИ.
К ВОПРОСУ О ПРОБЛЕМЕ ТВОРЧЕСКОЙ САМОРЕАЛИЗАЦИИ ЛИЧНОСТИ В ЮНОШЕСКОМ ВОЗРАСТЕ В СОВРЕМЕННОМ МИРЕ.
К ВОПРОСУ О САМООПРЕДЕЛЕНИИ ЛИЧНОСТИ КАК ЦЕЛИ И СОДЕРЖАНИИ ОБРАЗОВАТЕЛЬНОГО ПРОЦЕССА (ИЗ ОПЫТА НАУЧНОГО ИССЛЕДОВАНИЯ).
К ВОПРОСУ О СОЦИАЛЬНЫХ УСЛОВИЯХ РАЗВИТИЯ ТОЛЕРАНТНОСТИ ЛИЧНОСТИ В СИСТЕМЕ ОБРАЗОВАНИЯ.
К ВОПРОСУ О СОЦИАЛЬНЫХ УСЛОВИЯХ РАЗВИТИЯ ТОЛЕРАНТНОСТИ ЛИЧНОСТИ В СИСТЕМЕ ОБРАЗОВАНИЯ.
К ВОПРОСУ О СТРУКТУРНЫХ КОМПОНЕНТАХ ИНТЕЛЛЕКТУАЛЬНОЙ АКТИВНОСТИ ЛИЧНОСТИ В ПЕРИОД ЮНОСТИ.
К ВОПРОСУ О ТЕОРЕТИЧЕСКОМ ОСМЫСЛЕНИИ ПОНЯТИЯ АКТИВНОСТЬ ЛИЧНОСТИ БУДУЩЕГО ПЕДАГОГА.
К ВОПРОСУ О ТРАНСФОРМАЦИИ ПЕДАГОГИЧЕСКИХ ТЕХНОЛОГИЙ В ПРОЦЕССЕ ОБУЧЕНИЯ ЛИЧНОСТИ В УСЛОВИЯХ ЦИФРОВОГО ОБРАЗОВАТЕЛЬНОГО ПРОСТРАНСТВА.
К ВОПРОСУ О ФОРМИРОВАНИИ КОНКУРЕНТОСПОСОБНОЙ ЛИЧНОСТИ.
К ВОПРОСУ О ФОРМИРОВАНИИ ЛИЧНОСТИ НА ПРИМЕРАХ ИЗ ЖИЗНИ ВИДНЫХ ДЕЯТЕЛЕИ.
К ВОПРОСУ О ФОРМИРОВАНИИ ПОЛИКУЛЬТУРНОЙ ЛИЧНОСТИ СТУДЕНТОВ ЯЗЫКОВЫХ СПЕЦИАЛЬНОСТЕЙ ВУЗОВ.
К ВОПРОСУ О ФОРМИРОВАНИИ ПОЛИКУЛЬТУРНОЙ ЛИЧНОСТИ У СТУДЕНТОВ-ЛИНГВИСТОВ В СИСТЕМЕ ВЫСШЕГО ОБРАЗОВАНИЯ НА СЕВЕРНОМ КАВКАЗЕ.
К ВОПРОСУ О ХАРАКТЕРЕ ВЗАИМОСВЯЗЕЙ ЭМОЦИОНАЛЬНОГО ИНТЕЛЛЕКТА И КОММУНИКАТИВНОЙ КОМПЕТЕНТНОСТИ ЛИЧНОСТИ.
К ВОПРОСУ ОБ АВТОРИТЕТЕ ЛИЧНОСТИ.
К ВОПРОСУ ОБ ЭКЗИСТЕНЦИАЛЬНО ЗНАЧИМЫХ КАЧЕСТВАХ ЛИЧНОСТИ КУРСАНТОВ ОБРАЗОВАТЕЛЬНЫХ ОРГАНИЗАЦИЙ МВД РОССИИ.
К ВОПРОСУ ПРОЕКТИРОВАНИЯ ПРОЦЕССА ФОРМИРОВАНИЯ ИННОВАЦИОННОЙ ЛИЧНОСТИ В СИСТЕМЕ ВЫСШЕГО ОБРАЗОВАНИЯ.
К ВОПРОСУ СТРУКТУРЫ МЕХАНИЗМА ФОРМИРОВАНИЯ ФИЗИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ СТУДЕНТОВ С ПОЗИЦИИ МАРКЕТИНГА.
К ВОПРОСУ ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ УЧЕНОГО-ИССЛЕДОВАТЕЛЯ В УСЛОВИЯХ ТРЕХЪЯЗЫЧНОГО ОБРАЗОВАНИЯ В РЕСПУБЛИКЕ КАЗАХСТАН.
К ИДЕНТИФИКАЦИОННОЙ ТЕОРИИ ЛИЧНОСТИ В СИСТЕМЕ НЕПРЕРЫВНОГО ПЕДАГОГИЧЕСКОГО ОБРАЗОВАНИЯ (АНАЛИЗ ЗАРУБЕЖНОГО ОПЫТА).
К ПРОБЛЕМЕ ВЗАИМОСВЯЗИ ВОСПИТАНИЯ ЛИЧНОСТИ И РАЗВИТИЯ КОЛЛЕКТИВА.
К ПРОБЛЕМЕ ДУХОВНО-НРАВСТВЕННОГО РАЗВИТИЯ ЛИЧНОСТИ В УСЛОВИЯХ ПОЛИКУЛЬТУРНОГО ОБРАЗОВАНИЯ.
К ПРОБЛЕМЕ ДУХОВНЫХ СПОСОБНОСТЕЙ ЛИЧНОСТИ.
К ПРОБЛЕМЕ РАЗВИТИЯ ТВОРЧЕСКОГО ПОТЕНЦИАЛА ЛИЧНОСТИ ПОСРЕДСТВОМ САНОГЕННОЙ РЕФЛЕКСИИ.
К ПРОБЛЕМЕ РАЗВИТИЯ ЧЕЛОВЕЧЕСКОГО КАПИТАЛА ЧЕРЕЗ ФОРМИРОВАНИЕ ЭКОЛОГО-ЭКОНОМИЧЕСКОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ.
К ПРОБЛЕМЕ ФОРМИРОВАНИЯ ЛИЧНОСТИ МЛАДШЕГО ПОДРОСТКА В УЧЕБНОЙ ДЕЯТЕЛЬНОСТИ.
КАК НЕ ПОТЕРЯТЬ ГРАЖДАНСКО-ПАТРИОТИЧЕСКУЮ КОМПЕТЕНТНОСТЬ ОБУЧАЮЩИХСЯ В ПОГОНЕ ЗА ТОЛЕРАНТНЫМИ КАЧЕСТВАМИ ЛИЧНОСТИ? (ПО МАТЕРИАЛАМ ВТОРОЙ ВСЕРОССИЙСКОЙ ОЛИМПИАДЫ ПО ИСТОРИИ ХОЛОКОСТА).
КАТЕГОРИЯ СУБЪЕКТНОСТЬ ЛИЧНОСТИ В ТРУДАХ ПРЕДСТАВИТЕЛЕЙ СУБЪЕКТНО-ДЕЯТЕЛЬНОСТНОГО ПОДХОДА.
КАТЕГОРИЯ ПСИХОЛОГИЧЕСКОЙ БЕЗОПАСНОСТИ В ИССЛЕДОВАНИЯХ УСТОЙЧИВОСТИ ЛИЧНОСТИ.
КАЧЕСТВЕННОЕ МАТЕМАТИЧЕСКОЕ ОБРАЗОВАНИЕ КАК НЕОБХОДИМОЕ УСЛОВИЕ ФОРМИРОВАНИЯ ЛИЧНОСТИ.
КАЧЕСТВО ТЕОРЕТИЗАЦИИ И ФОРМИРОВАНИЯ КУЛЬТУРЫ САМОСТОЯТЕЛЬНОЙ РАБОТЫ ЛИЧНОСТИ В СИСТЕМЕ НЕПРЕРЫВНОГО ОБРАЗОВАНИЯ.
К ВОПРОСУ ОПРЕДЕЛЕНИЯ СОДЕРЖАТЕЛЬНОГО КОМПОНЕНТА СОЗНАНИЯ В ПРОЦЕССЕ ФОРМИРОВАНИЯ ЭТНИЧЕСКОЙ ТОЛЕРАНТНОСТИ ЛИЧНОСТИ.
КИБЕРБУЛЛИНГ КАК УГРОЗА ПСИХОЛОГИЧЕСКОМУ ЗДОРОВЬЮ ЛИЧНОСТИ ПОДРОСТКОВ И ЮНОШЕИ.
КИТАЙСКАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ: ХАРАКТЕРИСТИКА РЕЧЕВОГО ПОРТРЕТА И ЕГО СОПОСТАВИТЕЛЬНЫЙ АНАЛИЗ.
КЛАССИФИКАЦИЯ ПОДХОДОВ К ИЗУЧЕНИЮ САМООПРЕДЕЛЕНИЯ ЛИЧНОСТИ В КОНТЕКСТЕ ГУМАНИТАРНЫХ НАУК.
КОГНИТИВНО-ТЕЛЕСНАЯ ПСИХОТЕРАПИЯ КАК НЕОБХОДИМОЕ УСЛОВИЕ УСТОЙЧИВОСТИ ЛИЧНОСТИ.
КОЛЛЕКТИВНАЯ ОРГАНИЗАТОРСКАЯ ДЕЯТЕЛЬНОСТЬ КАК СРЕДСТВО РАЗВИТИЯ ЛИЧНОСТИ УЧЕНИКА.
КОММУНИКАТИВНАЯ И ЛИНГВИСТИЧЕСКАЯ КРЕАТИВНОСТЬ ЛИЧНОСТИ СТУДЕНТА КАК ПОКАЗАТЕЛИ ЭФФЕКТИВНОСТИ УСВОЕНИЯ ИНОСТРАННОГО ЯЗЫКА В УСЛОВИЯХ АКТИВИЗАЦИИ МОТИВА ПРОФЕССИОНАЛЬНОЙ НАПРАВЛЕННОСТИ.
КОММУНИКАТИВНАЯ КОМПЕТЕНТНОСТЬ КАК СРЕДСТВО РАЗВИТИЯ ОБРАЗОВАТЕЛЬНОЙ ПАРАДИГМЫ Я САМОСТЬ ЛИЧНОСТИ СПЕЦИАЛИСТА В НЕЯЗЫКОВЫХ ВУЗАХ.
КОММУНИКАТИВНАЯ КОМПЕТЕНТНОСТЬ ЛИЧНОСТИ: ПСИХОЛОГО-ПЕДАГОГИЧЕСКИЙ АСПЕКТ.
КОММУНИКАТИВНАЯ КУЛЬТУРА ЛИЧНОСТИ В ДИСКУРСИВНОМ ПРОСТРАНСТВЕ БИБЛИОТЕКИ.
КОММУНИКАТИВНЫЕ УСТАНОВКИ БУДУЩИХ ЮРИСТОВ СОЦИАЛЬНОЙ СФЕРЫ КАК ФАКТОР РАЗВИТИЯ ПРОФЕССИОНАЛЬНО-ИНФОРМАЦИОННОЙ КУЛЬТУРЫ ИХ ЛИЧНОСТИ.
КОМПЕТЕНТНОСТНАЯ МОДЕЛЬ ФОРМИРОВАНИЯ ПРОФЕССИОНАЛЬНОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ ПЕДАГОГА: ПРАКТИКА РЕАЛИЗАЦИИ.
КОМПЕТЕНТНОСТНОЕ СОДЕРЖАНИЕ СОЦИАЛИЗАЦИИ ЛИЧНОСТИ В УСЛОВИЯХ ГЛОБАЛИЗАЦИИ И ИНФОРМАТИЗАЦИИ ОБЩЕСТВА.
КОМПЕТЕНТНОСТНЫЙ ПОДХОД К РАЗВИТИЮ ЛИЧНОСТИ СТУДЕНТА В ОБРАЗОВАТЕЛЬНОМ ПРОЦЕССЕ ВУЗА.
КОМПЛЕКСНЫЕ СВОЙСТВА ЛИЧНОСТИ ИХ КРИТЕРИИ И ПОДХОДЫ К РЕГУЛЯЦИИ ПСИХИЧЕСКОГО ЗДОРОВЬЯ.
КОМПЛЕКСНЫЙ ЛИНГВОРИТОРИЧЕСКИЙ ПОДХОД В ИЗУЧЕНИИ ЯЗЫКОВОЙ ЛИЧНОСТИ ДОШКОЛЬНИКА.
КОМПОНЕНТЫ ПРОФЕССИОНАЛЬНО ОБУСЛОВЛЕННОЙ СТРУКТУРЫ ЛИЧНОСТИ ПЕДАГОГА.
КОМПЬЮТЕРНЫЕ ТЕХНОЛОГИИ КАК СРЕДСТВА САМОРАЗВИТИЯ ЛИЧНОСТИ УЧАЩИХСЯ.
КОНСТРУКТОР ARDUINO КАК ФАКТОР РАЗВИТИЯ ЛИЧНОСТИ.
КОНТЕКСТНОЕ ОБРАЗОВАНИЕ КАК УСЛОВИЕ РАЗВИТИЯ ТРАНСПРОФЕССИОНАЛЬНЫХ ХАРАКТЕРИСТИК ЛИЧНОСТИ.
КОНТРОЛЬ КАК ИНСТРУМЕНТ РАЗВИТИЯ ЛИЧНОСТИ СТУДЕНТА НЕЛИНГВИСТИЧЕСКОГО ПРОФИЛЯ НА ОСНОВЕ МОДУЛЬНОГО ОБУЧЕНИЯ.
КОНЦЕПТ ВОЙНА В ПОЭТИЧЕСКИХ ТЕКСТАХ ОКУДЖАВЫ КАК СРЕДСТВО ДУХОВНО-НРАВСТВЕННОГО ВОСПИТАНИЯ ЛИЧНОСТИ.
КОНЦЕПТ ТВОРЧЕСКИЙ ПОТЕНЦИАЛ ЛИЧНОСТИ В ОТЕЧЕСТВЕННОЙ ПСИХОЛОГО-ПЕДАГОГИЧЕСКОЙ НАУКЕ.
КОНЦЕПТ ДИСКУРСИВНОЙ ЛИЧНОСТИ СПОРТИВНОГО КОММЕНТАТОРА США И РОССИИ.
КОНЦЕПТУАЛЬНАЯ МОДЕЛЬ ВОСПИТАНИЯ ЛИЧНОСТИ СТУДЕНТА ОСНОВАННОГО НА НРАВСТВЕННО-БИОЭТИЧЕСКИХ ЦЕННОСТЯХ.
КОНЦЕПТУАЛЬНЫЕ ОСОБЕННОСТИ И ПОДХОДЫ К ИССЛЕДОВАНИЮ ПРОБЛЕМЫ САМОРЕАЛИЗАЦИИ ЛИЧНОСТИ В ОБРАЗОВАТЕЛЬНОМ ПРОСТРАНСТВЕ ВЫСШЕЙ ШКОЛЫ.
КОНЦЕПЦИЯ ИНТЕГРАТИВНОГО ПОДХОДА К ПЕДАГОГИЧЕСКОМУ ИСПОЛЬЗОВАНИЮ ПРАВОСЛАВНОГО НАСЛЕДИЯ В ДУХОВНОМ РАЗВИТИИ ЛИЧНОСТИ БУДУЩЕГО УЧИТЕЛЯ.
КОНЦЕПЦИЯ СОЗДАНИЯ КРОСС-КУЛЬТУРНОЙ ОБРАЗОВАТЕЛЬНОЙ СРЕДЫ ШКОЛЫ ОБЕСПЕЧИВАЮЩЕЙ ФОРМИРОВАНИЕ ГАРМОНИЧНО РАЗВИТОЙ ЛИЧНОСТИ ОБУЧАЮЩЕГОСЯ.
КОРРУПЦИОННАЯ ЛИЧНОСТЬ В ВОСПРИЯТИИ ПРОФЕССИОНАЛЬНЫХ И ВОЗРАСТНЫХ СОЦИАЛЬНЫХ ГРУПП.
КРИТЕРИИ ПОКАЗАТЕЛИ И КАЧЕСТВА ТОЛЕРАНТНОЙ ЛИЧНОСТИ.
КУЛЬТУРА БЕЗОПАСНОСТИ ЖИЗНЕДЕЯТЕЛЬНОСТИ КАК УСЛОВИЕ БЕЗОПАСНОСТИ ЛИЧНОСТИ И ОБЩЕСТВА.
КУЛЬТУРА ДЕЯТЕЛЬНОСТИ ЛИЧНОСТИ В КОНТЕКСТЕ ОБЩЕПЕДАГОГИЧЕСКИХ И ПРОФЕССИОНАЛЬНО-ПЕДАГОГИЧЕСКИХ ВОЗМОЖНОСТЕЙ НЕПРЕРЫВНОГО ОБРАЗОВАНИЯ.
КУЛЬТУРА КАК БАЗА ФОРМИРОВАНИЯ ФИЗИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ БУДУЩЕГО УЧИТЕЛЯ.
КУЛЬТУРА САМОСТОЯТЕЛЬНОЙ РАБОТЫ ЛИЧНОСТИ В КОНСТРУКТОРАХ ТЕОРЕТИЗАЦИИ И РЕФЛЕКСИИ.
КУЛЬТУРА ОБРАЗОВАНИЕ И ПРОБЛЕМЫ ФОРМИРОВАНИЯ ЛИЧНОСТИ В ГЛОБАЛИЗАЦИОННО-АТОМИЗИРОВАННОМ МИРОВОМ ОБЩЕСТВЕ.
КУЛЬТУРНО-СПОРТИВНОЕ ИСКУССТВО БОРЬБЫ КОХ КАК СРЕДСТВО ФОРМИРОВАНИЯ ВСЕСТОРОННЕ И ГАРМОНИЧНО РАЗВИТОЙ ЛИЧНОСТИ.
КУЛЬТУРНОЕ НАСЛЕДИЕ КАК ФАКТОР ДУХОВНОГО РАЗВИТИЯ ЛИЧНОСТИ В СИСТЕМЕ ХУДОЖЕСТВЕННОГО ОБРАЗОВАНИЯ.
ЛИНГВОРИТОРИЧЕСКИЕ ХАРАКТЕРИСТИКИ АВТОРСКОГО КОЛЛЕКТИВА КАК ГРУППОВОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ.
ЛИЧНОСТЬ-ЧТО СКРЫВАЕТСЯ ПОД ЭТИМ ОПРЕДЕЛЕНИЕМ?
ЛИЧНОСТЬ В АВТОРСКИХ ТЕОРИЯХ ПРЕДСТАВИТЕЛЕЙ ГУМАНИСТИЧЕСКОЙ ПСИХОЛОГИИ.
ЛИЧНОСТЬ В ИСТОРИИ НАУКИ: ГЕРМАН ГЮНТЕР ГРАССМАН (ЗАВЕТ КОНДРАШОВА ПРОДОЛЖАТЬ ИСТОРИОГРАФИЧЕСКИЕ ИССЛЕДОВАНИЯ).
ЛИЧНОСТЬ В КОНЦЕПЦИИ ГУМАНИСТИЧЕСКОГО ВОСПИТАНИЯ.
ЛИЧНОСТЬ В СИСТЕМЕ ВОСПИТАНИЯ.
ЛИЧНОСТЬ В СОВРЕМЕННЫХ ОБРАЗОВАТЕЛЬНЫХ УСЛОВИЯХ ВЫСШЕЙ ШКОЛЫ.
ЛИЧНОСТЬ В ЭТНИЧЕСКОЙ ДИВЕРСИФИКАЦИИ МИРА: СУЩНОСТЬ САМООПРЕДЕЛЕНИЕ РАЗВИТИЕ.
ЛИЧНОСТЬ ГЕНРИХА VIII ТЮДОРА В УЧЕБНОЙ ЛИТЕРАТУРЕ ДЛЯ ШКОЛ РОССИИ (ИСТОРИОГРАФИЧЕСКИЙ АСПЕКТ).
ЛИЧНОСТЬ И КУЛЬТУРА В ШКОЛЕ XXI ВЕКА: КОНФЛИКТ И ВЗАИМОДЕЙСТВИЕ.
ЛИЧНОСТЬ ИНЖЕНЕРА КАК ПРОДУКТ ГУМАНИТАРНОЙ СРЕДЫ ТЕХНИЧЕСКОГО ВУЗА.
ЛИЧНОСТЬ КАК ДАННОСТЬ И ЗАДАННОСТЬ.
ЛИЧНОСТЬ КАК ОБЪЕКТ ИССЛЕДОВАНИЯ В КОНТЕКСТЕ ИНФОРМАЦИОННОГО ОБЩЕСТВА.
ЛИЧНОСТЬ ОБУЧАЮЩЕГОСЯ В КОНТЕКСТЕ ПСИХОЛОГИИ ЗДОРОВЬЯ.
ЛИЧНОСТЬ ПЕДАГОГА В НОВОМ ФОРМАТЕ ОБРАЗОВАТЕЛЬНОГО ПРОСТРАНСТВА.
ЛИЧНОСТЬ ПЕДАГОГА ДОШКОЛЬНОЙ ОБРАЗОВАТЕЛЬНОЙ ОРГАНИЗАЦИИ КАК ФАКТОР СТАНОВЛЕНИЯ ЛИЧНОСТИ РЕБЕНКА.
ЛИЧНОСТЬ ПРЕПОДАВАТЕЛЯ КАК ФАКТОР ИСПОЛЬЗОВАНИЯ ДИСТАНЦИОННОГО ОБРАЗОВАНИЯ В ВЫСШЕЙ ШКОЛЕ.
ЛИЧНОСТЬ РЕБЕНКА И МУЗЫКАЛЬНОЕ ТВОРЧЕСТВО.
ЛИЧНОСТЬ РУКОВОДИТЕЛЯ В ТВОРЧЕСКОМ КОЛЛЕКТИВЕ.
ЛИЧНОСТЬ РУКОВОДИТЕЛЯ ОРГАНИЗАЦИИ КАК ФАКТОР ЕГО УСПЕШНОЙ ДЕЯТЕЛЬНОСТИ В СИСТЕМЕ УПРАВЛЕНИЯ.
ЛИЧНОСТЬ СТУДЕНТА-ПСИХОЛОГА КАК СУБЪЕКТ ИМИДЖФОРМИРУЮЩЕЙ ДЕЯТЕЛЬНОСТИ.
ЛИЧНОСТЬ: ПРОБЛЕМЫ СВОБОДЫ И ОТВЕТСТВЕННОСТИ.
МАГИСТЕРСКОЕ ИССЛЕДОВАНИЕ ПО ПЕДАГОГИКЕ КАК СРЕДСТВО РАЗВИТИЯ ЛИЧНОСТИ.
МАТЕРИАЛЬНО-ПРЕДМЕТНАЯ ДЕЯТЕЛЬНОСТЬ НА УРОКАХ ТЕХНОЛОГИИ КАК ОСНОВА РАЗВИТИЯ ЛИЧНОСТИ.
МЕДИАОБРАЗОВАНИЕ КАК ФАКТОР ФОРМИРОВАНИЯ ЛИЧНОСТИ.
МЕДИАТЕКСТ В ЦИФРОВОМ ПОРТФОЛИО-СРЕДСТВО САМОРАЗВИТИЯ ЛИЧНОСТИ УЧАЩЕГОСЯ В ШКОЛЕ.
МЕЖДУНАРОДНАЯ КОНФЕРЕНЦИЯ ПО ПСИХОЛОГО-ПЕДАГОГИЧЕСКИМ АСПЕКТАМ РАЗВИТИЯ ЛИЧНОСТИ В УСЛОВИЯХ ГЛОБАЛИЗАЦИИ.
МЕЖПРЕДМЕТНЫЕ СВЯЗИ В ФОРМИРОВАНИИ МОТИВАЦИОННОЙ СФЕРЫ ЛИЧНОСТИ СТУДЕНТОВ.
МЕНЕДЖМЕНТ ЗДОРОВЬЯ КАК РЕСУРС САМОРАЗВИТИЯ СОВРЕМЕННОЙ ЛИЧНОСТИ.
МЕНТАЛЬНАЯ АРИФМЕТИКА КАК МЕТОДИКА РАЗВИТИЯ ИНТЕЛЛЕКТУАЛЬНЫХ СПОСОБНОСТЕЙ ЛИЧНОСТИ УЧАЩИХСЯ МЛАДШИХ КЛАССОВ.
МЕТАПРЕДМЕТНЫЙ ПОДХОД В РАЗВИТИИ ИННОВАЦИОННОЙ ПРОФЕССИОНАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТОВ ЮРИДИЧЕСКОГО ВУЗА.
МЕТОДИКА МИНИМИЗАЦИИ НЕГАТИВНЫХ ФАКТОРОВ ИНФОРМАЦИОННОГО ВОЗДЕЙСТВИЯ НА ЛИЧНОСТЬ ВОЕННОСЛУЖАЩЕГО В ПРОЦЕССЕ ГОСУДАРСТВЕННО-ПАТРИОТИЧЕСКОГО ВОСПИТАНИЯ ПРИ ПОВСЕДНЕВНОЙ ДЕЯТЕЛЬНОСТИ.
МЕТОДИКА ТРЕНИНГА ЭМОЦИОНАЛЬНОГО ИНТЕЛЛЕКТА КАК ИНСТРУМЕНТА ПОВЫШЕНИЯ ПСИХОЛОГИЧЕСКОГО БЛАГОПОЛУЧИЯ ВИКТИМНОЙ ЛИЧНОСТИ.
МЕТОДИЧЕСКИЕ ОСОБЕННОСТИ ПЕРЕВОДА ПОНЯТИЯ ЛИЧНОСТЬ И СУБЪЕКТ В КИТАЙСКОЙ ПСИХОЛОГИЧЕСКОЙ И ПЕДАГОГИЧЕСКОЙ НАУЧНОЙ ЛИТЕРАТУРЕ.
МЕТОДОЛОГИЧЕСКИЕ ОРИЕНТИРЫ РАЗВИТИЯ УСПЕШНОЙ ЛИЧНОСТИ.
МЕТОДОЛОГИЧЕСКИЕ ОСНОВЫ РАЗВИТИЯ ТВОРЧЕСКОЙ ДЕЯТЕЛЬНОСТИ ЛИЧНОСТИ ПОДРОСТКА В СОЦИУМЕ (ТЕОРЕТИКО-МЕТОДОЛОГИЧЕСКИЙ АНАЛИЗ ПРОБЛЕМЫ).
МЕТОДОЛОГИЧЕСКИЙ И ТЕОРЕТИЧЕСКИЙ РЕСУРС КОНЦЕПЦИИ СИСТЕМЫ И СИСТЕМНО-ЭВОЛЮЦИОННОГО ПОДХОДА ДЛЯ ПСИХОЛОГИЧЕСКОГО ИССЛЕДОВАНИЯ ЖИЗНЕННОГО ЦИКЛА ЛИЧНОСТИ-ЧАСТЬ 1.
МЕТОДОЛОГИЧЕСКИЙ И ТЕОРЕТИЧЕСКИЙ РЕСУРС ПСИХОЛОГИИ В АСПЕКТЕ ТЕОРИИ СИСТЕМ ДЛЯ ПСИХОЛОГИЧЕСКОГО ИССЛЕДОВАНИЯ ЖИЗНЕННОГО ЦИКЛА ЛИЧНОСТИ-ЧАСТЬ 2.
МЕТОДОЛОГИЧЕСКИЙ ПОДХОД В СТАНОВЛЕНИИ ПЕВЧЕСКОЙ ЛИЧНОСТИ.
МЕТОДОЛОГИЯ ИЗУЧЕНИЯ ПОТЕНЦИАЛА ПРОФЕССИОНАЛЬНОГО РАЗВИТИЯ ЛИЧНОСТИ УЧАЩИХСЯ-КЛАССОВ.
МЕТОДЫ УПРАВЛЕНИЯ В ПРОФЕССИОНАЛЬНОМ СТАНОВЛЕНИИ ЛИЧНОСТИ ПРЕПОДАВАТЕЛЕЙ ГУМАНИТАРНЫХ НАУК.
МЕХАНИЗМЫ ПСИХОЛОГИЧЕСКОЙ ЗАЩИТЫ И УРОВЕНЬ ПРИТЯЗАНИЙ ЛИЧНОСТИ.
МИФОЛОГИЧЕСКАЯ ЛИЧНОСТЬ КАРЛОСА КАСТАНЕДЫ И МИСТИЦИЗМ ЕГО ТВОРЧЕСТВА.
МНОГОМЕРНОЕ МЫШЛЕНИЕ-ОСНОВА РАЗВИТИЯ ИННОВАЦИОННОГО ПОТЕНЦИАЛА ЛИЧНОСТИ.
МНОГОМЕРНОСТЬ ЛИЧНОСТИ ОДАРЕННОГО РЕБЕНКА.
МНОГОЯЗЫЧИЕ КАК СПОСОБ ФОРМИРОВАНИЯ ПОЛИКУЛЬТУРНОЙ ЛИЧНОСТИ МОЛОДЕЖИ.
МОДЕЛИ И МЕТОДОЛОГИЯ ТЕОРЕТИЗАЦИИ И ФОРМИРОВАНИЯ УСПЕШНОСТИ ЛИЧНОСТИ СТУДЕНТА УЧИЛИЩА ОЛИМПИЙСКОГО РЕЗЕРВА В СПОРТЕ НАУКЕ ОБРАЗОВАНИИ.
МОДЕЛИРОВАНИЕ КОГНИТИВНОЙ ПОДСИСТЕМЫ УПРАВЛЕНИЯ ФОРМИРОВАНИЕМ И РАЗВИТИЕМ ПОЗНАВАТЕЛЬНЫХ СИЛ СПОСОБНОСТЕЙ И НАУЧНОГО МИРОВОЗЗРЕНИЯ ЛИЧНОСТИ ОБУЧАЕМЫХ.
МОДЕЛИРОВАНИЕ ЛИЧНОСТИ ПРОФЕССИОНАЛЬНОГО И ЛИЧНОСТНОГО РАЗВИТИЯ УЧИТЕЛЯ.
МОДЕЛИРОВАНИЕ СОЦИАЛЬНО-КУЛЬТУРНОГО МИРА ЛИЧНОСТИ В ОБРАЗОВАТЕЛЬНОМ ПРОСТРАНСТВЕ ВУЗА.
МОДЕЛЬ ЛИЧНОСТИ ПРЕПОДАВАТЕЛЯ ПРАВОВЫХ ДИСЦИПЛИН ОБРАЗОВАТЕЛЬНОЙ ОРГАНИЗАЦИИ.
МОДЕЛЬ ПЕРЕВЕРНУТОГО ЗАНЯТИЯ В АСПЕКТЕ РАЗВИТИЯ ЛИЧНОСТИ И В ОБУЧЕНИИ ПЕРЕВОДУ.
МОДЕЛЬ ПОЭТАПНОЙ РЕАЛИЗАЦИИ СОПРОВОЖДЕНИЯ ПРОФЕССИОНАЛЬНО-ОБРАЗОВАТЕЛЬНОГО РАЗВИТИЯ ЛИЧНОСТИ СТУДЕНТА: МОТИВАЦИОННЫЙ КРИТЕРИИ.
МОДЕЛЬ РАЗВИВАЮЩЕЙ ОБРАЗОВАТЕЛЬНОЙ СРЕДЫ КАК УСЛОВИЕ ФОРМИРОВАНИЯ ЛИЧНОСТИ УЧАЩИХСЯ: ВКЛАД КАЛУЖСКИХ ПЕДАГОГОВ-НОВАТОРОВ.
МОДЕЛЬ РЕАЛИЗАЦИИ КОМПЛЕКСА ПЕДАГОГИЧЕСКИХ УСЛОВИЙ ФОРМИРОВАНИЯ УПРАВЛЕНЧЕСКОЙ КОМПЕТЕНТНОСТИ ЛИЧНОСТИ В КОНТЕКСТЕ ГУМАНИСТИЧЕСКОГО ПОДХОДА К ВОЕННОМУ ОБРАЗОВАНИЮ.
МОДЕЛЬ САМОРЕАЛИЗАЦИИ ЛИЧНОСТИ ВЗРОСЛОГО В ИЗОБРАЗИТЕЛЬНОЙ ДЕЯТЕЛЬНОСТИ ХАРАКТЕРНАЯ ДЛЯ ЗАПАДНОЙ КУЛЬТУРЫ.
МОДЕЛЬ ФОРМИРОВАНИЯ КРЕАТИВНОГО ПОТЕНЦИАЛА ЛИЧНОСТИ В ОТРАСЛИ ОБРАЗОВАТЕЛЬНЫХ УСЛУГ.
МОДЕЛЬ ФОРМИРОВАНИЯ МЕЖКУЛЬТУРНОЙ КОМПЕТЕНЦИИ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТОВ НЕЯЗЫКОВЫХ СПЕЦИАЛЬНОСТЕЙ (НА МАТЕРИАЛЕ ИЗУЧЕНИЯ ЯПОНСКОГО ЯЗЫКА И КУЛЬТУРЫ).
МОДЕЛЬ ФОРМИРОВАНИЯ НРАВСТВЕННОЙ КУЛЬТУРЫ ЛИЧНОСТИ В УСЛОВИЯХ ЭТНОРЕГИОНАЛЬНОЙ ОБРАЗОВАТЕЛЬНОЙ СИСТЕМЫ.
МОДЕЛЬ ФОРМИРОВАНИЯ ТВОРЧЕСКОЙ ЛИЧНОСТИ ПОДРОСТКОВ В САМОДЕЯТЕЛЬНОМ ХОРЕОГРАФИЧЕСКОМ КОЛЛЕКТИВЕ.
МОДЕЛЬ ФОРМИРОВАНИЯ ЭТНОКУЛЬТУРНЫХ КАЧЕСТВ ЛИЧНОСТИ БУДУЩИХ УЧИТЕЛЕЙ ШКОЛ СЕВЕРА.
МОРАЛЬНАЯ ОТВЕТСТВЕННОСТЬ ЛИЧНОСТИ ЧЕРЕЗ ПРИЗМУ ПРОРОЧЕСКОГО ОТКРОВЕНИЯ.
МОРАЛЬНО-НРАВСТВЕННОЕ РАЗВИТИЕ В СТРУКТУРЕ КУЛЬТУРНО-ПРАВОВОЙ ОРГАНИЗАЦИИ ЛИЧНОСТИ ПОДРОСТКОВ С ОПАСНЫМИ СОЦИАЛЬНЫМИ ДЕВИАЦИЯМИ.
МОТИВАЦИОННОЕ РАЗВИТИЕ ЛИЧНОСТИ В ПРЕДМЕТНОЙ ДЕЯТЕЛЬНОСТИ УЧРЕЖДЕНИЙ КУЛЬТУРЫ.
МОТИВАЦИОННЫЕ МЕХАНИЗМЫ ОПОСРЕДСТВУЮЩИЕ ГАРМОНИЧНУЮ САМОРЕАЛИЗАЦИЮ ЛИЧНОСТИ В ПРОФЕССИОНАЛЬНОЙ ДЕЯТЕЛЬНОСТИ.
МОТИВАЦИОННЫЙ ПРОФИЛЬ ЛИЧНОСТИ ПОДРОСТКОВ РАЗНЫХ ПОКОЛЕНИИ.
МОТИВАЦИЯ И НАПРАВЛЕННОСТЬ ЛИЧНОСТИ КАК ОСНОВНЫЕ СОСТАВЛЯЮЩИЕ ПРИ ВЫБОРЕ ПРОФЕССИИ СТАРШЕКЛАССНИКАМИ.
МОТИВАЦИЯ СТУДЕНТОВ СИБИРСКОГО ИНСТИТУТА УПРАВЛЕНИЯ ФИЛИАЛА РАНХИГС К ЗАНЯТИЯМ ФИЗИЧЕСКОЙ КУЛЬТУРОЙ И СПОРТОМ КАК КОМПОНЕНТ ФИЗИЧЕСКОГО РАЗВИТИЯ ЛИЧНОСТИ.
МУЗЫКАЛЬНО-ТЕАТРАЛЬНАЯ ДЕЯТЕЛЬНОСТЬ КАК ФАКТОР ВОСПИТАНИЯ ТВОРЧЕСКОЙ ЛИЧНОСТИ.
МУЗЫКАЛЬНО-ХОРЕОГРАФИЧЕСКОЕ И СОЦИАЛЬНОЕ ВОСПИТАНИЕ ДЕТЕЙ КАК СРЕДСТВО ХУДОЖЕСТВЕННОГО И СОЦИАЛЬНОГО РАЗВИТИЯ ЛИЧНОСТИ.
НАБЛЮДАТЕЛЬНОСТЬ КАК СВОЙСТВО ЛИЧНОСТИ ПРИЕМНОГО (ЗАМЕЩАЮЩЕГО) РОДИТЕЛЯ.
НАВЫК САМООРГАНИЗАЦИИ У УЧАЩЕЙСЯ МОЛОДЁЖИ КАК ФАКТОР РАЗВИТИЯ ЛИЧНОСТИ.
НАЗНАЧЕНИЕ ИНФОРМАЦИОННЫХ И СМАРТ-ТЕХНОЛОГИЙ В ОБРАЗОВАНИИ И ИХ ВЛИЯНИЕ НА КОММУНИКАТИВНЫЕ ХАРАКТЕРИСТИКИ ЛИЧНОСТИ.
НАПРАВЛЕННОСТЬ И ЦЕННОСТНЫЕ ОРИЕНТАЦИИ В СТРУКТУРЕ ЛИЧНОСТИ В ЮНОШЕСКОМ ВОЗРАСТЕ.
НАПРАВЛЕННОСТЬ ЛИЧНОСТИ КАК ЦЕННОСТНЫЙ КОМПОНЕНТ СОЦИАЛЬНО-ПСИХОЛОГИЧЕСКОГО ВЗАИМОДЕЙСТВИЯ ПЕДАГОГОВ С ОБУЧАЮЩИМИСЯ.
НАРРАТИВНЫЕ ТЕХНОЛОГИИ ФОРМИРОВАНИЯ ЦЕННОСТНО-СМЫСЛОВЫХ ОРИЕНТАЦИЙ ЛИЧНОСТИ: ПСИХОЛОГИЧЕСКОЕ СОДЕРЖАНИЕ И ПРИМЕНЕНИЕ В ОБРАЗОВАТЕЛЬНОЙ ПРАКТИКЕ.
НАСТАВНИЧЕСТВО В ФОРМИРОВАНИИ ЛИЧНОСТИ СТУДЕНТА МЕДИЦИНСКОГО ВУЗА.
НАСТАВНИЧЕСТВО КАК МОДЕЛЬ СОПРОВОЖДЕНИЯ ПЕДАГОГА НА ЭТАПЕ ПЕРВИЧНОЙ ПРОФЕССИОНАЛИЗАЦИИ ЛИЧНОСТИ.
НАУЧНО-МЕТОДОЛОГИЧЕСКИЕ ПОДХОДЫ К ПРОЦЕССУ ПЕДАГОГИЧЕСКОГО СОПРОВОЖДЕНИЯ ПОВЫШЕНИЯ СУБЪЕКТНО-ПРОФЕССИОНАЛЬНОГО ПОТЕНЦИАЛА ЛИЧНОСТИ.
НАУЧНЫЙ ИСТОРИКО-ФИЛОЛОГИЧЕСКИЙ СЕМИНАР КАК ФОРМА СТАНОВЛЕНИЯ ТВОРЧЕСКОЙ ЛИЧНОСТИ: ПРОШЛО НАСТОЯЩЕ ПЕРСПЕКТИВЫ.
ЗНАЧЕНИЕ УЧЕБНОЙ ДИСЦИПЛИНЫ ПРОПЕДЕВТИКА В ПРОФЕССИОНАЛЬНОМ СТАНОВЛЕНИИ ЛИЧНОСТИ ДИЗАЙНЕРА.
НЕВРОТИЧЕСКАЯ ЛИЧНОСТЬ С ПСИХОАНАЛИТИЧЕСКИХ ПОЗИЦИИ.
НЕКОТОРЫЕ АСПЕКТЫ ТАНЦЕВАЛЬНОЙ ИМПРОВИЗАЦИИ КАК ОСНОВЫ КРЕАТИВНОСТИ ЛИЧНОСТИ НА ПРИМЕРЕ ИСПАНСКОГО ТАНЦА ФЛАМЕНКО.
НЕКОТОРЫЕ АСПЕКТЫ ФОРМИРОВАНИЯ КУЛЬТУРЫ ЛИЧНОСТИ СТУДЕНТА СРЕДСТВАМИ ФИЗИЧЕСКОЙ КУЛЬТУРЫ И СПОРТА НА ЗАНЯТИЯХ ПО ЛЁГКОЙ АТЛЕТИКЕ.
НЕКОТОРЫЕ АСПЕКТЫ ФОРМИРОВАНИЯ КУЛЬТУРЫ ЛИЧНОСТИ СТУДЕНТА СРЕДСТВАМИ ФИЗИЧЕСКОЙ КУЛЬТУРЫ И СПОРТА НА ЗАНЯТИЯХ ПО ВОЛЕЙБОЛУ.
НЕКОТОРЫЕ СОЦИАЛЬНО-ПСИХОЛОГИЧЕСКИЕ ПРОБЛЕМЫ ЛИЧНОСТИ В ЭПОХУ SMART-ТЕХНОЛОГИИ.
НЕОБХОДИМОСТЬ И УСЛОВИЯ НЕПРЕРЫВНОГО РАЗВИТИЯ ИССЛЕДОВАТЕЛЬСКОЙ КОМПЕТЕНТНОСТИ ЛИЧНОСТИ В ПРОЦЕССЕ ЕЕ СТАНОВЛЕНИЯ КАК ПЕДАГОГА НАЧАЛЬНОГО ОБРАЗОВАНИЯ.
НЕПРЕРЫВНОЕ ВОСПИТАНИЕ КАК ЭЛЕМЕНТ ОБРАЗОВАНИЯ ЛИЧНОСТИ СТУДЕНТА ЮРИДИЧЕСКОГО ВУЗА: ЭТНО-ИСТОРИЯ И СОВРЕМЕННОСТЬ.
НРАВСТВЕННАЯ УСТОЙЧИВОСТЬ ЛИЧНОСТИ: СУЩНОСТЬ И СТРУКТУРА.
НРАВСТВЕННО-ВОЛЕВЫЕ КАЧЕСТВА В СТРУКТУРЕ ЛИЧНОСТИ СТАРШЕКЛАССНИКА В СОВРЕМЕННЫХ УСЛОВИЯХ.
НРАВСТВЕННОЕ САМООПРЕДЕЛЕНИЕ ЛИЧНОСТИ ЕГО СУЩНОСТЬ И ВИДЫ.
НРАВСТВЕННОСТЬ-ОСНОВА ВОСПИТАНИЯ И РАЗВИТИЯ ЛИЧНОСТИ.
НРАВСТВЕННЫЕ ЦЕННОСТИ В СТАНОВЛЕНИИ ЛИЧНОСТИ КУРСАНТОВ АКАДЕМИИ ФСИН РОССИИ.
О ГАРМОНИИ И ДИСГАРМОНИИ ЧУВСТВ ИНТЕЛЛЕКТА И ВОЛИ В САМОРАЗВИТИИ ЛИЧНОСТИ.
О ЗНАЧЕНИИ ХУДОЖЕСТВЕННО-ОБРАЗНЫХ ПРЕДСТАВЛЕНИЙ КАК НЕОТЪЕМЛЕМОЙ ЧАСТИ ФОРМИРОВАНИЯ ЛИЧНОСТИ МУЗЫКАНТА.
О МОДУЛЬНОЙ СТРУКТУРЕ ИЗЛОЖЕНИЯ МИРОВОЗЗРЕНИЯ ЛИЧНОСТИ.
О ПОДГОТОВКЕ ПЕДАГОГОВ В ОБЛАСТИ ИНФОРМАЦИОННОЙ БЕЗОПАСНОСТИ ЛИЧНОСТИ.
О ПРОБЛЕМАТИЗАЦИИ ЭКОЛОГИЧЕСКОГО РАЗВИТИЯ ЛИЧНОСТИ В ЦИФРОВОМ ОБРАЗОВАНИИ.
О ПРОГРАММЕ ФОРМИРОВАНИЯ АНТИКОРРУПЦИОННОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ КУРСАНТОВ ОБРАЗОВАТЕЛЬНЫХ ОРГАНИЗАЦИЙ ФСИН РОССИИ.
О РАЗВИТИИ ЛИЧНОСТИ СОВРЕМЕННОГО ПЕДАГОГА.
О РАЗВИТИИ ЯЗЫКОВЫХ КУЛЬТУРНЫХ И КОГНИТИВНЫХ СПОСОБНОСТЕЙ ПОЛИЛИНГВАЛЬНОЙ ЛИЧНОСТИ В МНОГОЯЗЫЧНОЙ ОБРАЗОВАТЕЛЬНОЙ СРЕДЕ.
О РОЛИ ЛИЧНОСТИ ПРЕПОДАВАТЕЛЯ В ДИСТАНЦИОННОМ ОБУЧЕНИИ ИНОСТРАННОМУ ЯЗЫКУ.
О РОЛИ САМОРАЗВИТИЯ ЛИЧНОСТИ В ИСЛАМСКОМ ОБРАЗОВАНИИ.
О РОЛИ САМОСТОЯТЕЛЬНОЙ РАБОТЫ В ФОРМИРОВАНИИ ЛИЧНОСТИ СТУДЕНТОВ.
О РОЛИ ЭКОЛОГИЧЕСКОГО ВОСПИТАНИЯ В ФОРМИРОВАНИИ ЛИЧНОСТИ.
О ФАКТОРАХ САМОРАЗВИТИЯ ЛИЧНОСТИ СТУДЕНТА.
О ФОРМИРОВАНИИ ЯЗЫКОВОЙ ЛИЧНОСТИ БАКАЛАВРОВ НАЧАЛЬНОГО ОБРАЗОВАНИЯ В ПРОЦЕССЕ ИЗУЧЕНИЯ ЛЕКСИКОЛОГИИ РУССКОГО ЯЗЫКА.
ОБЗОР НАУЧНО-ТЕОРЕТИЧЕСКИХ ИССЛЕДОВАНИЙ ЦЕННОСТНЫХ ОРИЕНТАЦИЙ ЛИЧНОСТИ.
ОБОСНОВАНИЕ РЕКОНСТРУКЦИИ ПСИХОЛОГИЧЕСКИХ СТРАТЕГИЙ ПРОФЕССИОНАЛЬНОГО УСПЕХА ЛИЧНОСТИ (НА ПРИМЕРЕ АНАЛИЗА ПРЕДПРИНИМАТЕЛЬСКИХ ИСТОРИЙ).
ОБРАЗ И ИМИДЖ ЛИЧНОСТИ.
ОБРАЗОВАТЕЛЬНАЯ СРЕДА ВУЗА В РАЗВИТИИ ЛИЧНОСТИ ОБУЧАЮЩИХСЯ.
ОБРАЗОВАТЕЛЬНО-ВОСПИТАТЕЛЬНЫЙ ПОТЕНЦИАЛ РУССКОЙ ДУХОВНОЙ МУЗЫКИ В ФОРМИРОВАНИИ КУЛЬТУРЫ ЛИЧНОСТИ СТУДЕНТА ПЕДАГОГИЧЕСКОГО ВУЗА.
ОБРАЗОВАТЕЛЬНЫЙ ДИСКУРС КАК ЕДИНСТВО ОБУЧЕНИЯ И ФОРМИРОВАНИЯ ЛИЧНОСТИ (ИСТОРИЯ И СОВРЕМЕННОСТЬ).
ОБРАЩЕНИЕ К УКРАИНСКОМУ МУЗЫКАЛЬНОМУ ФОЛЬКЛОРУ - ЗАЛОГ ВОСПИТАНИЯ ДУХОВНОСТИ И НАЦИОНАЛЬНОЙ ИДЕНТИЧНОСТИ ЛИЧНОСТИ РЕБЕНКА:АСПЕКТЫ.
ОБУЧЕНИЕ АКТЕРСКОМУ МАСТЕРСТВУ КАК ОПЫТ СОЦИАЛИЗАЦИИ ЛИЧНОСТИ В СОЦИАЛЬНО-КУЛЬТУРНОЙ СРЕДЕ.
ОБУЧЕНИЕ ПОЛЕМИЧЕСКОМУ ОБЩЕНИЮ В РАМКАХ КУРСА ИНОСТРАННЫЙ ЯЗЫК В ПРОФЕССИОНАЛЬНОЙ СФЕРЕ КАК ФАКТОР ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ.
ОПРЕДЕЛЕНИЕ УРОВНЯ ДУХОВНОГО РАЗВИТИЯ ЛИЧНОСТИ У СТУДЕНТОВ МЕДИЦИНСКОГО ВУЗА.
ОРГАНИЗАЦИОННО-ПЕДАГОГИЧЕСКИЕ ОСНОВЫ ФОРМИРОВАНИЯ КОММУНИКАТИВНЫХ УМЕНИЙ ЛИЧНОСТИ ПОСРЕДСТВОМ ИНТЕРАКТИВНЫХ ТЕХНОЛОГИИ.
ОРГАНИЗАЦИОННЫЕ АСПЕКТЫ ПАТРИОТИЧЕСКОГО ВОСПИТАНИЯ СТУДЕНТОВ ВУЗА С УЧЕТОМ ЦЕННОСТНОГО ТИПА ЛИЧНОСТИ.
ОРГАНИЗАЦИЯ И МЕТОДИКА ЭКСПЕРИМЕНТАЛЬНОГО ИССЛЕДОВАНИЯ ПЛАНИРОВАНИЕ ЭКСПЕРИМЕНТА В УСЛОВИЯХ КОГНИТИВНОЙ ПОДСИСТЕМЫ ФОРМИРОВАНИЯ ПОЗНАВАТЕЛЬНЫХ СИЛ СПОСОБНОСТЕЙ И НАУЧНОГО МИРОВОЗЗРЕНИЯ ЛИЧНОСТИ ОБУЧАЕМЫХ (НА ПРИМЕРЕ КОЛЛЕДЖЕЙ ТЕХНИЧЕСКОГО ПРОФИЛЯ).
ОРГАНИЗАЦИЯ ПЕДАГОГИЧЕСКОГО ОБЕСПЕЧЕНИЯ СОЦИАЛИЗАЦИИ ЛИЧНОСТИ В СОВРЕМЕННЫХ УСЛОВИЯХ.
ОРГАНИЗАЦИЯ ПСИХОЛОГИЧЕСКОЙ ПОДДЕРЖКИ ЛИЧНОСТИ В УСЛОВИЯХ СОВРЕМЕННОГО ОБРАЗОВАНИЯ КАК ТЕОРЕТИЧЕСКАЯ И ПРИКЛАДНАЯ ПРОБЛЕМА.
ОРГАНИЗАЦИЯ РАБОТЫ ПО ПЕДАГОГИЧЕСКОМУ ОБЕСПЕЧЕНИЮ ФОРМИРОВАНИЯ ЛИЧНОСТИ В УСЛОВИЯХ СЕТЕВОЙ ФОРМЫ РЕАЛИЗАЦИИ ОБРАЗОВАТЕЛЬНЫХ ПРОГРАММ.
ОРГАНИЗАЦИЯ СОЦИАЛЬНОГО ПАРТНЕРСТВА ПО ФОРМИРОВАНИЮ ФИЗИЧЕСКОЙ ТЕХНОЛОГИЧЕСКОЙ КУЛЬТУРЫ И КУЛЬТУРЫ БЕЗОПАСНОСТИ ЛИЧНОСТИ ОБУЧАЮЩИХСЯ.
ОСНОВНЫЕ КОМПОНЕНТЫ КОНКУРЕНТОСПОСОБНОЙ ЛИЧНОСТИ.
ОСНОВНЫЕ НАПРАВЛЕНИЯ И ПОДХОДЫ К ИЗУЧЕНИЮ ИНФОРМАЦИОННО-ПСИХОЛОГИЧЕСКОЙ БЕЗОПАСНОСТИ ЛИЧНОСТИ.
ОСНОВНЫЕ НАПРАВЛЕНИЯ НРАВСТВЕННОГО И ПАТРИОТИЧЕСКОГО ВОСПИТАНИЯ ФОРМИРОВАНИЕ ВОЛЕВЫХ КАЧЕСТВ ЛИЧНОСТИ СТУДЕНТОВ ГОСУДАРСТВЕННЫХ И НЕГОСУДАРСТВЕННЫХ ВУЗОВ.
ОСНОВНЫЕ ОБРАЗОВАТЕЛЬНЫЕ ТЕХНОЛОГИИ ФОРМИРОВАНИЯ ФИЗИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ.
ОСНОВНЫЕ ФАКТОРЫ ВЛИЯЮЩИЕ НА РАЗВИТИЕ ЕСТЕСТВЕННОНАУЧНОГО МИРОВОЗЗРЕНИЯ ЛИЧНОСТИ СТУДЕНТА УНИВЕРСИТЕТА.
ОСНОВЫ ПСИХОЛОГИЧЕСКИХ ЗНАНИЙ О ЛИЧНОСТИ ИНВАЛИДОВ.
ОСОБЕННОСТИ АДАПТАЦИИ ЛИЧНОСТИ В УСЛОВИЯХ СОВРЕМЕННОГО ИНФОРМАЦИОННОГО ПРОСТРАНСТВА.
ОСОБЕННОСТИ АКЦЕНТУАЦИЙ ЛИЧНОСТИ УЧИТЕЛЕЙ МУЗЫКИ С ПРИЗНАКАМИ ЭМОЦИОНАЛЬНОГО ВЫГОРАНИЯ.
ОСОБЕННОСТИ АЛЬТРУИСТИЧЕСКИХ УСТАНОВОК ЛИЧНОСТИ ПРЕДСТАВИТЕЛЕЙ ПОМОГАЮЩИХ ПРОФЕССИЙ (НА ПРИМЕРЕ СОТРУДНИКОВ СКОРОЙ МЕДИЦИНСКОЙ ПОМОЩИ).
ОСОБЕННОСТИ ВЗАИМОСВЯЗИ НАПРАВЛЕННОСТИ ЛИЧНОСТИ В ОБЩЕНИИ И МЕЖЛИЧНОСТНОЙ ОБРАТНОЙ СВЯЗИ БУДУЩИХ ПЕДАГОГОВ-ПСИХОЛОГОВ.
ОСОБЕННОСТИ ВЗАИМОСВЯЗИ САМООЦЕНКИ И КОММУНИКАТИВНЫХ КАЧЕСТВ ЛИЧНОСТИ КУРСАНТОВ ВОЕННОГО ИНСТИТУТА ВОЙСК НАЦИОНАЛЬНОЙ ГВАРДИИ.
ОСОБЕННОСТИ ВЛИЯНИЯ ВНЕШНЕЙ СРЕДЫ НА КАЧЕСТВО ЖИЗНИ ЛИЧНОСТИ В СОВРЕМЕННОМ МИРЕ.
ОСОБЕННОСТИ ВЛИЯНИЯ СОЦИАЛЬНЫХ СЕТЕЙ НА РАЗВИТИЕ ЛИЧНОСТИ ДЕТЕЙ МЛАДШЕГО ШКОЛЬНОГО ВОЗРАСТА.
ОСОБЕННОСТИ ВОСПИТАНИЯ РОССИЙСКОЙ МОЛОДЕЖИ НА СОЦИАЛЬНО-КУЛЬТУРНОМ ИДЕАЛЕ ЛИЧНОСТИ.
ОСОБЕННОСТИ ВОСПИТАНИЯ У УЧАЩИХСЯ КЛАССА РОСГВАРДИИ СОЦИАЛЬНОСТИ КАК НРАВСТВЕННОГО КАЧЕСТВА ЛИЧНОСТИ.
ОСОБЕННОСТИ ВРЕМЕННОЙ ПЕРСПЕКТИВЫ ЛИЧНОСТИ НА ЭТАПЕ ПРОФЕССИОНАЛЬНОГО САМООПРЕДЕЛЕНИЯ.
ОСОБЕННОСТИ ЖИЗНЕСПОСОБНОСТИ СТУДЕНТОВ С РАЗНЫМИ УРОВНЯМИ АВТОНОМНОСТИ ЛИЧНОСТИ.
ОСОБЕННОСТИ ИЗУЧЕНИЯ ПРОФЕССИОНАЛЬНОЙ ОТРАСЛЕВОЙ ИДЕНТИФИКАЦИИ ЛИЧНОСТИ (ПОИЛ) РУКОВОДИТЕЛЯ С УЧЕТОМ ГЕНДЕРНОГО ФАКТОРА И КОНФЛИКТНОСТИ.
ОСОБЕННОСТИ ИНДИВИДУАЛЬНО-ПСИХОЛОГИЧЕСКИХ СВОЙСТВ ЛИЧНОСТИ СТУДЕНТОВ-УЧАСТНИКОВ ИННОВАЦИОННОЙ ДЕЯТЕЛЬНОСТИ.
ОСОБЕННОСТИ ИНДИВИДУАЛЬНОСТИ ЛИЧНОСТИ КУРСАНТОВ С ВЫСОКИМ УРОВНЕМ САМОРЕГУЛЯЦИИ.
ОСОБЕННОСТИ ЛЕКСИКОНА КИТАЙСКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ В СОЦИАЛЬНОЙ СЕТИ WEIBO
ОСОБЕННОСТИ ЛИЧНОСТИ СОТРУДНИКА ОХРАНЫ УГОЛОВНО-ИСПОЛНИТЕЛЬНОЙ СИСТЕМЫ РОССИЙСКОЙ ФЕДЕРАЦИИ.
ОСОБЕННОСТИ ЛИЧНОСТИ СПЕЦИАЛИСТА РАБОТАЮЩЕГО С ДЕТЬМИ С РАССТРОЙСТВАМИ АУТИСТИЧЕСКОГО СПЕКТРА (ЧАСТЬ 1).
ОСОБЕННОСТИ ЛИЧНОСТИ СПОРТСМЕНОВ ВЫСОКОЙ КВАЛИФИКАЦИИ.
ОСОБЕННОСТИ НАПРАВЛЕННОСТИ ЛИЧНОСТИ ВОЛОНТЕРОВ НА ДОБРОВОЛЬНО ОСУЩЕСТВЛЯЕМУЮ ВОЛОНТЕРСКУЮ РАБОТУ.
ОСОБЕННОСТИ НРАВСТВЕННО-ЭТИЧЕСКОЙ СФЕРЫ ЛИЧНОСТИ МЕДИЦИНСКИХ РАБОТНИКОВ.
ОСОБЕННОСТИ ОПТИМИЗАЦИИ ЗНАНИЙ ПО ХИМИИ ПОСРЕДСТВОМ ПСИХОЛОГИЧЕСКИХ ОСОБЕННОСТЕЙ ЛИЧНОСТИ БУДУЩЕГО УЧИТЕЛЯ ХИМИИ.
ОСОБЕННОСТИ ПАТРИОТИЧЕСКОГО ВОСПИТАНИЯ БУДУЩИХ СОТРУДНИКОВ ПОЛИЦИИ НА ИСТОРИЧЕСКОМ ИДЕАЛЕ ЛИЧНОСТИ.
ОСОБЕННОСТИ ПРОФЕССИОНАЛЬНОГО ВЫГОРАНИЯ ЛИЧНОСТИ ПЕДАГОГОВ (НА ПРИМЕРЕ СРАВНЕНИЯ УЧИТЕЛЕЙ И ВОСПИТАТЕЛЕЙ РАЙОННОГО И ОБЛАСТНОГО ЦЕНТРОВ).
ОСОБЕННОСТИ ПРОФЕССИОНАЛЬНОЙ САМОРЕАЛИЗАЦИИ ЛИЧНОСТИ КУРСАНТОВ.
ОСОБЕННОСТИ ПРОФЕССИОНАЛЬНЫХ КРИЗИСОВ ЛИЧНОСТИ.
ОСОБЕННОСТИ ПРОЯВЛЕНИЯ ПСИХИЧЕСКИХ СВОЙСТВ ЛИЧНОСТИ В УСЛОВИЯХ ФИЗКУЛЬТУРНОЙ ДЕЯТЕЛЬНОСТИ.
ОСОБЕННОСТИ РАЗВИТИЯ АНАЛИТИЧЕСКИХ СПОСОБНОСТЕЙ ЛИЧНОСТИ В УСЛОВИЯХ ПЕДАГОГИЧЕСКИ ОРГАНИЗОВАННОЙ МУЗЫКАЛЬНОЙ СРЕДЫ.
ОСОБЕННОСТИ РАЗВИТИЯ ЛИЧНОСТИ МЛАДШИХ ШКОЛЬНИКОВ С ГАРМОНИЧНЫМ И ДИСГАРМОНИЧНЫМ ТИПАМИ ОДАРЕННОСТИ.
ОСОБЕННОСТИ РАЗВИТИЯ ЛИЧНОСТИ С ЗАВИСИМЫМ ПОВЕДЕНИЕМ В ПЕРИОД ВЗРОСЛОСТИ.
ОСОБЕННОСТИ РАЗВИТИЯ ПРОФЕССИОНАЛЬНО-ЦЕННОСТНОГО ПОТЕНЦИАЛА ЛИЧНОСТИ БУДУЩЕГО ВОСПИТАТЕЛЯ В ПОЛИКУЛЬТУРНОЙ ОБРАЗОВАТЕЛЬНОЙ СРЕДЕ ВЫСШЕЙ ШКОЛЫ.
ОСОБЕННОСТИ РАЗВИТИЯ У СТУДЕНТОВ С ИНВАЛИДНОСТЬЮ И ОГРАНИЧЕННЫМИ ВОЗМОЖНОСТЯМИ ЗДОРОВЬЯ КАЧЕСТВ КОНКУРЕНТОСПОСОБНОЙ ЛИЧНОСТИ.
ОСОБЕННОСТИ РОЛЕВОЙ РЕФЛЕКСИИ СТУДЕНТА В ДИДАКТИЧЕСКОМ ЗВЕНЕ ЛИЧНОСТЬ-ГРУППА.
ОСОБЕННОСТИ САМОРАЗВИТИЯ ЛИЧНОСТИ ПСИХОЛОГА СО СТАЖЕМ ПРОФЕССИОНАЛЬНОЙ ДЕЯТЕЛЬНОСТИ МЕНЕЕ 3-Х ЛЕТ.
ОСОБЕННОСТИ СИСТЕМЫ ЦЕННОСТНЫХ ОРИЕНТАЦИЙ И СТРУКТУРЫ ЖИЗНЕСТОЙКОСТИ ЛИЧНОСТИ МОЛОДЕЖИ С ВЫСОКИМ УРОВНЕМ ЛИДЕРСКИХ СПОСОБНОСТЕЙ.
ОСОБЕННОСТИ СОЦИАЛИЗАЦИИ ЛИЧНОСТИ РЕБЕНКА В РАМКАХ ПАРУСНОГО СПОРТА.
ОСОБЕННОСТИ СОЦИАЛИЗАЦИИ ЛИЧНОСТИ СТУДЕНТОВ ПЕДАГОГИЧЕСКОГО ВУЗА В КОНТЕКСТЕ КОМПЕТЕНТНОСТНОГО ПОДХОДА.
ОСОБЕННОСТИ СОЦИАЛЬНО-ПСИХОЛОГИЧЕСКИХ УСТАНОВОК ЛИЧНОСТИ В МОТИВАЦИОННО- ПОТРЕБНОСТНОЙ СФЕРЕ СТУДЕНТОВ МЕДИЦИНСКОГО ВУЗА.
ОСОБЕННОСТИ СОЦИАЛЬНОГО ИНТЕЛЛЕКТА И ЭМОЦИОНАЛЬНОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ У СТУДЕНТОВ ТЕХНИЧЕСКОГО ПРОФИЛЯ ПОДГОТОВКИ.
ОСОБЕННОСТИ СОЦИОТИПА ТВОРЧЕСКОЙ ЛИЧНОСТИ В ЮНОСТИ.
ОСОБЕННОСТИ СТРУКТУРНО-ФУНКЦИОНАЛЬНОЙ ОРГАНИЗАЦИИЯ МЕТАКОГНИТИВНОЙ СФЕРЫ ЛИЧНОСТИ В УПРАВЛЕНЧЕСКОЙ ДЕЯТЕЛЬНОСТИ.
ОСОБЕННОСТИ ФОРМИРОВАНИЯ КУЛЬТУРЫ БЕЗОПАСНОСТИ ЛИЧНОСТИ В УСЛОВИЯХ СОВРЕМЕННОГО ВУЗА.
ОСОБЕННОСТИ ФОРМИРОВАНИЯ ЛИЧНОСТИ В ПРЕПОДАВАНИИ ОБЩЕСТВОЗНАНИЯ ПРИ ИСПОЛЬЗОВАНИИ ИНТЕРАКТИВНЫХ ТЕХНОЛОГИИ.
ОСОБЕННОСТИ ФОРМИРОВАНИЯ ЛИЧНОСТИ В ПРОЦЕССЕ ЗАНЯТИЙ ФИЗИЧЕСКОЙ КУЛЬТУРОЙ И СПОРТОМ.
ОСОБЕННОСТИ ФОРМИРОВАНИЯ ЛИЧНОСТИ МУЗЫКАНТА И КУЛЬТУРЫ ИСПОЛНИТЕЛЬСТВА.
ОСОБЕННОСТИ ФОРМИРОВАНИЯ ЛИЧНОСТИ ПОДРОСТКОВ В УСЛОВИЯХ ДЕТСКОГО ДОМА.
ОСОБЕННОСТИ ФОРМИРОВАНИЯ МОТИВАЦИИ ЛИЧНОСТИ ОБУЧАЮЩИХСЯ ОБРАЗОВАТЕЛЬНЫХ ОРГАНИЗАЦИИ.
ОСОБЕННОСТИ ФОРМИРОВАНИЯ ОСНОВНЫХ НОВООБРАЗОВАНИЙ ЛИЧНОСТИ В ПЕРИОД ВОЗРАСТНОЙ СЕНЗИТИВНОСТИ.
ОСОБЕННОСТИ ФОРМИРОВАНИЯ ПОЛИКУЛЬТУРНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ ОБУЧАЮЩЕГОСЯ В ОБРАЗОВАТЕЛЬНОЙ ОРГАНИЗАЦИИ СИСТЕМЫ МВД РОССИИ В ПРОЦЕССЕ РАЗВИТИЯ ИНОЯЗЫЧНОГО ТЕЗАУРУСА.
ОСОБЕННОСТИ ФОРМИРОВАНИЯ ПРОФЕССИОНАЛЬНОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ КУРСАНТОВ ЭКОНОМИЧЕСКОГО ПРОФИЛЯ.
ОСОБЕННОСТИ ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТА В РАМКАХ ИНОЯЗЫЧНОЙ ПОДГОТОВКИ В ТЕХНИЧЕСКОМ ВУЗЕ.
ОСОБЕННОСТИ ЦЕННОСТНО-МОТИВАЦИОННОЙ СФЕРЫ ЛИЧНОСТИ ПСИХОЛОГОВ И ПСИХИАТРОВ.
ОТВЕТСТВЕННОСТЬ ЛИЧНОСТИ В СОВРЕМЕННОМ ОБЩЕСТВЕ: МЕЖДИСЦИПЛИНАРНЫЙ ПОДХОД.
ОЦЕНКА ЗНАЧИМОСТИ ХОЗЯЙСТВЕННО-ЭКОНОМИЧЕСКИХ МЕТОДОВ ОБУЧЕНИЯ ФОРМИРУЮЩИХ ПРОФЕССИОНАЛЬНУЮ НАПРАВЛЕННОСТЬ ЛИЧНОСТИ ОБУЧАЮЩЕГОСЯ.
ПАТРИОТИЧЕСКОЕ ВОСПИТАНИЕ ЛИЧНОСТИ: ЭТНОПЕДАГОГИЧЕСКИЙ ПОДХОД.
ПАТРИОТИЧЕСКОЕ ВОСПИТАНИЕ МОЛОДЁЖИ НА ИСТОРИЧЕСКОМ РОССИЙСКОМ ИДЕАЛЕ ЛИЧНОСТИ.
ПЕДАГОГ ДЕТСКОГО САДА-КЛЮЧЕВАЯ ЛИЧНОСТЬ ПО СОЗДАНИЮ УСЛОВИЙ УСПЕШНОГО РАЗВИТИЯ И САМОРАЗВИТИЯ СОВРЕМЕННОГО РЕБЕНКА-ДОШКОЛЬНИКА.
ПЕДАГОГИКА ОБРАЗОВАНИЯ И РАЗВИТИЯ ЛИЧНОСТИ СПОРТИВНОГО МЕНЕДЖЕРА.
ПЕДАГОГИЧЕСКАЯ АНДРАГОГИКА КАК ПРИОРИТЕТНАЯ НАУЧНАЯ ПРОБЛЕМА СТАНОВЛЕНИЯ ЛИЧНОСТИ ВЫСОКОГО ПРОФЕССИОНАЛЬНОГО СТАТУСА.
ПЕДАГОГИЧЕСКАЯ СИСТЕМА МУЗЫКАЛЬНОГО ВОСПИТАНИЯ К.ОРФА И ЕЕ ВЛИЯНИЕ НА ФОРМИРОВАНИЕ ТВОРЧЕСКОЙ ЛИЧНОСТИ РЕБЕНКА.
ПЕДАГОГИЧЕСКАЯ СИТУАЦИЯ КАК МЕХАНИЗМ РАЗВИТИЯ ПОЛИКУЛЬТУРНОЙ ЛИЧНОСТИ СТУДЕНТОВ В ОБРАЗОВАТЕЛЬНОМ ПРОЦЕССЕ ВУЗА.
ПЕДАГОГИЧЕСКАЯ ТЕХНОЛОГИЯ ФОРМИРОВАНИЯ ФИЗИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ МЛАДШИХ ШКОЛЬНИКОВ СЕЛЬСКОЙ МЕСТНОСТИ.
ПЕДАГОГИЧЕСКАЯ ФАСИЛИТАЦИЯ ФОРМИРОВАНИЯ ПРОФЕССИОНАЛЬНО ВАЖНЫХ КАЧЕСТВ ЛИЧНОСТИ КУРСАНТОВ.
ПЕДАГОГИЧЕСКИ ОРГАНИЗОВАННАЯ МУЗЫКАЛЬНАЯ СРЕДА КАК ИНДИКАТОР УРОВНЯ РАЗВИТИЯ КУЛЬТУРЫ ЛИЧНОСТИ.
ПЕДАГОГИЧЕСКИ ОРГАНИЗОВАННАЯ МУЗЫКАЛЬНАЯ СРЕДА НА УРОКАХ ВОКАЛА КАК ФАКТОР РАЗВИТИЯ ЛИЧНОСТИ.
ПЕДАГОГИЧЕСКИЕ АСПЕКТЫ ЛИЧНОСТИ СПЕЦИАЛИСТА ПО ОГНЕВОЙ И ФИЗИЧЕСКОЙ ПОДГОТОВКЕ.
ПЕДАГОГИЧЕСКИЕ ИДЕИ СУХОМЛИНСКОГО В КОНТЕКСТЕ РЕАЛИЗАЦИИ ТРЕБОВАНИЙ ФЕДЕРАЛЬНЫХ ГОСУДАРСТВЕННЫХ ОБРАЗОВАТЕЛЬНЫХ СТАНДАРТОВ К УСЛОВИЯМ СОДЕРЖАНИЮ И РЕЗУЛЬТАТАМ ФОРМИРОВАНИЯ ЛИЧНОСТИ ОБУЧАЮЩИХСЯ.
ПЕДАГОГИЧЕСКИЕ КОНСТРУКТЫ И ПЕДАГОГИЧЕСКИЕ КОНСТРУКТОРЫ В ИЗУЧЕНИИ И ИССЛЕДОВАНИИ ОСНОВ ПЕДАГОГИЧЕСКОЙ ПОДДЕРЖКИ ЛИЧНОСТИ В СИСТЕМЕ НЕПРЕРЫВНОГО ОБРАЗОВАНИЯ.
ПЕДАГОГИЧЕСКИЕ ОСНОВЫ СОВЕРШЕНСТВОВАНИЯ ТВОРЧЕСКОЙ ЛИЧНОСТИ СТУДЕНТОВ.
ПЕДАГОГИЧЕСКИЕ ОСНОВЫ СОЦИАЛИЗАЦИИ ЛИЧНОСТИ В МОДЕЛИ НАУЧНО-ИССЛЕДОВАТЕЛЬСКОЙ ДЕЯТЕЛЬНОСТИ.
ПЕДАГОГИЧЕСКИЕ ОСНОВЫ ФОРМИРОВАНИЯ МОТИВАЦИОННОГО КОМПОНЕНТА ФИЗИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ У ЛЕГКОАТЛЕТОВ-ЛЕТ.
ПЕДАГОГИЧЕСКИЕ УСЛОВИЯ ОПТИМИЗАЦИИ МОДЕЛИРОВАНИЯ ОСНОВ ПЕДАГОГИЧЕСКОЙ ПОДДЕРЖКИ ЛИЧНОСТИ В СИСТЕМЕ НЕПРЕРЫВНОГО ОБРАЗОВАНИЯ.
ПЕДАГОГИЧЕСКИЕ ФАКТОРЫ ВЛИЯЮЩИЕ НА ФОРМИРОВАНИЕ ЛИЧНОСТИ ОФИЦЕРА ВОЙСК НАЦИОНАЛЬНОЙ ГВАРДИИ РФ.
ПЕДАГОГИЧЕСКИЙ АСПЕКТ ПРОБЛЕМЫ ФОРМИРОВАНИЯ ПОЛИТИЧЕСКОГО СОЗНАНИЯ ЛИЧНОСТИ ВОЕННОСЛУЖАЩЕГО.
ПЕДАГОГИЧЕСКИЙ И КУЛЬТУРНО-НРАВСТВЕННЫЙ ПОДХОД В РАЗВИТИИ ЛИЧНОСТИ ШКОЛЬНИКА МЕТОДИЧЕСКИЕ ПРИЕМЫ.
ПЕДАГОГИЧЕСКИЙ ПОТЕНЦИАЛ ХУДОЖЕСТВЕННОЙ КУЛЬТУРЫ В ЭСТЕТИЧЕСКОМ ВОСПИТАНИИ ЛИЧНОСТИ ШКОЛЬНИКА.
ПЕДАГОГИЧЕСКОЕ ПРОСВЕЩЕНИЕ РОДИТЕЛЕЙ В ОБЛАСТИ НРАВСТВЕННОГО ФОРМИРОВАНИЯ ЛИЧНОСТИ И ПРОФИЛАКТИКИ ЭКСТРЕМИЗМА.
ПЕДАГОГИЧЕСКОЕ СОПРОВОЖДЕНИЕ ДУХОВНО-НРАВСТВЕННОГО РАЗВИТИЯ ЛИЧНОСТИК ПРОБЛЕМЕ ОСМЫСЛЕНИЯ ТЕРМИНОЛОГИИ.
ПЕДАГОГИЧЕСКОЕ СОПРОВОЖДЕНИЕ ОБУЧАЮЩЕГОСЯ С ЦЕЛЬЮ ОБЕСПЕЧЕНИЯ ИНФОРМАЦИОННОЙ БЕЗОПАСНОСТИ ЛИЧНОСТИ.
ПЕДАГОГИЧЕСКОЕ СОПРОВОЖДЕНИЕ ПОВЫШЕНИЯ СУБЪЕКТНО-ПРОФЕССИОНАЛЬНОГО ПОТЕНЦИАЛА ЛИЧНОСТИ В ПРОЦЕССЕ ПОДГОТОВКИ В ВУЗЕ СОЦИОНОМИЧЕСКОЙ СФЕРЫ ДЕЯТЕЛЬНОСТИ.
ПЕДАГОГИЧЕСКОЕ СОПРОВОЖДЕНИЕ СТАНОВЛЕНИЯ САМОРАЗВИВАЮЩЕЙСЯ ЛИЧНОСТИ.
ПЕРСОНАЛЬНАЯ ОТВЕТСТВЕННОСТЬ СТУДЕНТОВ ТУРИСТСКОГО ВУЗА КАК ПРОФЕССИОНАЛЬНО ВАЖНОЕ КАЧЕСТВО ЛИЧНОСТИ.
ПЕРСОНИФИКАЦИЯ И ОПРЕДЕЛЕНИЕ СТРУКТУРЫ ПЕРСОНИФИЦИРОВАННОГО ПРОСТРАНСТВА КАК УСЛОВИЯ РАСШИРЕНИЯ ВОЗМОЖНОСТЕЙ ЛИЧНОСТИ.
ПОВЫШЕНИЕ ПРОФЕССИОНАЛЬНОГО УРОВНЯ И ПЕДАГОГИЧЕСКОГО МАСТЕРСТВА ПРЕПОДАВАТЕЛЕЙ- ЗАЛОГ УСПЕШНОГО ФОРМИРОВАНИЯ ЛИЧНОСТИ.
ПОДГОТОВКА МАГИСТРАНТОВ К ОСУЩЕСТВЛЕНИЮ ПЕДАГОГИЧЕСКОГО СОПРОВОЖДЕНИЯ СТАНОВЛЕНИЯ САМОРАЗВИВАЮЩЕЙСЯ ЛИЧНОСТИ.
ПОДГОТОВКА ЯЗЫКОВОЙ ЛИЧНОСТИ К ПРОДУКТИВНОМУ ОБЩЕНИЮ В ПРОЦЕССЕ МЕЖКУЛЬТУРНОЙ КОММУНИКАЦИИ.
ПОДДЕРЖКА РАЗВИТИЯ ЛИЧНОСТИ ВОЗМОЖНОСТЯМИ ТЕАТРАЛЬНОЙ СРЕДЫ ГОРОДА ПОСРЕДСТВОМ МОБИЛЬНЫХ ПРИЛОЖЕНИИ.
ПОДХОД К РАЗРАБОТКЕ МОДЕЛИ ЛИЧНОСТИ ОБУЧАЮЩЕГОСЯ И МЕТОДИКА ЕЕ ОЦЕНКИ С УЧЕТОМ ПРОФЕССИОНАЛЬНОЙ НАПРАВЛЕННОСТИ.
ПОЗИТИВНЫЕ ДЕТСКО-РОДИТЕЛЬСКИЕ ОТНОШЕНИЯ КАК ФАКТОР РАЗВИТИЯ ЛИЧНОСТИ.
ПОЛИКУЛЬТУРНОСТЬ В ОБРАЗОВАНИИ КАК СТРАТЕГИЯ САМООПРЕДЕЛЕНИЯ ЛИЧНОСТИ В ЭПОХУ ГЛОБАЛИЗАЦИИ.
ПОЛИТИЧЕСКАЯ СОЦИАЛИЗАЦИЯ В ПРОЦЕССЕ ФОРМИРОВАНИЯ ЛИЧНОСТИ.
ПОЛОВОЗРАСТНЫЕ ОСОБЕННОСТИ АКЦЕНТУАЦИЙ ХАРАКТЕРА И АГРЕССИВНОГО ПОВЕДЕНИЯ ПОДРОСТКОВ КАК КОМПОНЕНТЫ БЕЗОПАСНОСТИ ЛИЧНОСТИ.
ПОНЯТИЕ СУЩНОСТЬ И СОДЕРЖАНИЕ ЦЕННОСТНЫХ ОРИЕНТАЦИЙ ЛИЧНОСТИ.
ПОРТРЕТ СЕТЕВОЙ ЛИЧНОСТИ В КОНТЕКСТЕ ТЕОРИИ ПОКОЛЕНИИ.
ПОРТРЕТНАЯ ЖИВОПИСЬ XVIII ВЕКА В РОССИ ЭПОХА И ЛИЧНОСТЬ.
ПОТЕНЦИАЛ АРТПЕДАГОГИКИ В ГАРМОНИЗАЦИИ РАЗВИТИЯ ЛИЧНОСТИ.
ПОТЕНЦИАЛ РАЗВИТИЯ ЛИЧНОСТИ В КОНТЕКСТЕ ГУМАНИЗАЦИИ.
ПОТРЕБНОСТЬ В ПРОФЕССИОНАЛЬНОМ САМОРАЗВИТИИ СТУДЕНТОВ-БУДУЩИХ УЧИТЕЛЕЙ КАК ФАКТОР СОЦИАЛЬНОГО БЛАГОПОЛУЧИЯ ЛИЧНОСТИ.
ПРАВОВОЕ САМОСОЗНАНИЕ КАК ЗНАЧИМЫЙ КРИТЕРИЙ ЛИЧНОСТИ БУДУЩИХ ЮРИСТОВ.
ПРАВОСЛАВНАЯ ПЕДАГОГИКА КАК ОСНОВАНИЕ ВОСПИТАНИЯ ЛИЧНОСТИ В СИСТЕМЕ ДОШКОЛЬНОГО ОБРАЗОВАНИЯ.
ПРЕДПОСЫЛКИ ВИКТИМИЗАЦИИ ЛИЧНОСТИ.
ПРЕДРАСПОЛОЖЕННОСТЬ ЛИЧНОСТИ ГОССЛУЖАЩЕГО КАК ЯДРО СПЕЦИФИКАЦИИ ЕГО ПРОФЕССИОНАЛЬНОЙ ДЕЯТЕЛЬНОСТИ.
ПРЕДСТАВЛЕНИЕ О ФУНКЦИОНАЛЬНОСТИ (ФУНКЦИОНАЛЬНЫХ ВОЗМОЖНОСТЯХ) ЛИЧНОСТИ КАК СУБЪЕКТА САМОВОСПРИЯТИЯ.
ПРЕОБЛАДАНИЕ СИГНАЛЬНЫХ СИСТЕМ И ТИПЫ ЛИЧНОСТИ (ПО ПАВЛОВУ).
ПРЕПОДАВАНИЕ ГРАММАТИКИ В ПРОЦЕССЕ РАЗВИТИЯ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТОВ ЭКОНОМИЧЕСКИХ СПЕЦИАЛЬНОСТЕИ.
ПРЕЦЕДЕНТНЫЕ ТЕКСТЫ КАК СРЕДСТВО РАЗВИТИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТА-РЕКЛАМИСТА.
ПРИВНЕСЕНИЕ В РОССИЙСКОЕ ОБРАЗОВАНИЕ ЕВРОПЕЙСКОГО ОПЫТА ФОРМИРОВАНИЯ ИНФОРМАЦИОННОЙ КУЛЬТУРЫ ЛИЧНОСТИ.
ПРИМЕНЕНИЕ ЗДОРОВЬЕСБЕРЕГАЮЩИХ ТЕХНОЛОГИЙ ВО ВНЕУРОЧНОЙ ДЕЯТЕЛЬНОСТИ НАХИМОВЦЕВ В РАЗВИТИИ СОЦИАЛЬНЫХ ЦЕННОСТЕЙ ЛИЧНОСТИ.
ПРИНЦИПЫ СИНЕРГЕТИЧЕСКОГО ПОДХОДА В ПСИХОЛОГО-ПЕДАГОГИЧЕСКОМ ОБЕСПЕЧЕНИИ ОПТИМИЗАЦИИ КАЧЕСТВА ЖИЗНИ ЛИЧНОСТИ С ОГРАНИЧЕННЫМИ ВОЗМОЖНОСТЯМИ ЗДОРОВЬЯ.
ПРИНЦИПЫ СМЫСЛОДИДАКТИКИ И ЛОГИКО-СМЫСЛОВЫХ ПОДХОДОВ В РАЗВИТИИ ОБУЧАЮЩЕЙСЯ ЛИЧНОСТИ.
ПРИОРИТЕТНЫЕ ЗАДАЧИ ФИЗИЧЕСКОГО ВОСПИТАНИЯ СТУДЕНТОВ В КОНТЕКСТЕ ФОРМИРОВАНИЯ БАЗОВОЙ КУЛЬТУРЫ И СОВЕРШЕНСТВОВАНИЯ ЛИЧНОСТИ.
ПРОБЛЕМА АКТУАЛИЗАЦИИ РЕСУРСОВ В КОНТЕКСТЕ САМОРЕАЛИЗАЦИИ ЛИЧНОСТИ В ДЕТСКО-ЮНОШЕСКОМ СПОРТЕ.
ПРОБЛЕМА ИЗУЧЕНИЯ НАДЕЖНОСТИ КАК ЛИЧНОСТНО-ПРОФЕССИОНАЛЬНОГО КАЧЕСТВА ЛИЧНОСТИ В ПСИХОЛОГИЧЕСКОЙ НАУКЕ.
ПРОБЛЕМА КОНФЛИКТНОСТИ ЛИЧНОСТИ КУРСАНТОВ ВОЕННОГО ИНСТИТУТА.
ПРОБЛЕМА НРАВСТВЕННОГО СТАНОВЛЕНИЯ ЛИЧНОСТИ В СОВРЕМЕННОЙ СИСТЕМЕ ПРОФЕССИОНАЛЬНОГО ОБРАЗОВАНИЯ.
ПРОБЛЕМА ПРОСОЦИАЛЬНОГО ПОВЕДЕНИЯ ЛИЧНОСТИ В ОТЕЧЕСТВЕННОЙ ПСИХОЛОГИИ: ОТ ИСТОКОВ К СОВРЕМЕННЫМ ИССЛЕДОВАНИЯМ.
ПРОБЛЕМА РАЗВИТИЯ ЛИЧНОСТИ В УСЛОВИЯХ ПОЛИКУЛЬТУРНОГО ОБРАЗОВАТЕЛЬНОГО ПРОСТРАНСТВА.
ПРОБЛЕМА РАЗВИТИЯ ЛИЧНОСТИ ВОСПИТАННИКА В ПЕДАГОГИЧЕСКОМ УЧЕНИИ ШТАЙНЕРА.
ПРОБЛЕМА САМОАКТУАЛИЗАЦИИ ЛИЧНОСТИ В РАБОТАХ ОТЕЧЕСТВЕННЫХ И ЗАРУБЕЖНЫХ АВТОРОВ.
ПРОБЛЕМА САМОРАЗВИТИЯ ЛИЧНОСТИ В ЗАРУБЕЖНОЙ ПЕДАГОГИКЕ XIX-XX ВЕКОВ.
ПРОБЛЕМА САМОРАЗВИТИЯ ЛИЧНОСТИ В ТРУДАХ ОТЕЧЕСТВЕННЫХ И ЗАРУБЕЖНЫХ ПСИХОЛОГОВ.
ПРОБЛЕМА СМЫСЛОЖИЗНЕННЫХ ОРИЕНТАЦИЙ ЛИЧНОСТИ В ИСТОРИИ ПСИХОЛОГИИ.
ПРОБЛЕМА СОПРОТИВЛЯЕМОСТИ ЛИЧНОСТИ ТРУДНЫМ ЖИЗНЕННЫМ СИТУАЦИЯМ В УСЛОВИЯХ ОБРАЗОВАТЕЛЬНОЙ СРЕДЫ В РОССИЙСКИХ И ЗАРУБЕЖНЫХ ИССЛЕДОВАНИЯХ.
ПРОБЛЕМА СОЦИАЛИЗАЦИИ ЛИЧНОСТИ В КОНТЕКСТЕ СОВРЕМЕННОГО ОБРАЗОВАНИЯ УЧАЩЕЙСЯ МОЛОДЕЖИ.
ПРОБЛЕМА СТРУКТУРЫ МОТИВАЦИОННОЙ СФЕРЫ ЛИЧНОСТИ.
ПРОБЛЕМА ТЕОРЕТИЗАЦИИ ВОЗМОЖНОСТЕЙ ФОРМИРОВАНИЯ ПАТЕНТНО-ТЕХНИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ В СИСТЕМЕ НЕПРЕРЫВНОГО ОБРАЗОВАНИЯ.
ПРОБЛЕМА УСИЛЕНИЯ НРАВСТВЕННО-ДУХОВНОГО ВОСПИТАНИЯ В УЧЕБНОМ ПРОЦЕССЕ КАК СУБСТРАТА РАЗВИТИЯ ЦЕЛОСТНОЙ ЛИЧНОСТИ.
ПРОБЛЕМА ФОРМИРОВАНИЯ ЛИЧНОСТИ В ПРЕПОДАВАНИИ КУРСА МИРОВАЯ ХУДОЖЕСТВЕННАЯ КУЛЬТУРА В ВЫСШЕЙ ШКОЛЕ.
ПРОБЛЕМА ФОРМИРОВАНИЯ СИСТЕМЫ ДУХОВНЫХ И НРАВСТВЕННЫХ ЦЕННОСТЕЙ ЛИЧНОСТИ СТУДЕНТА.
ПРОБЛЕМА ФОРМИРОВАНИЯ СОЦИАЛЬНО-ЭКОЛОГИЧЕСКОЙ УСТОЙЧИВОСТИ ЛИЧНОСТИ В ШКОЛЬНОЙ ПРАКТИКЕ.
ПРОБЛЕМА ФОРМИРОВАНИЯ УСПЕШНОСТИ ЛИЧНОСТИ С УЧЕТОМ ВОЗРАСТНЫХ ОСОБЕННОСТЕИ.
ПРОБЛЕМА ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ.
ПРОБЛЕМАТИКА ИСПОЛЬЗОВАНИЯ НАВЫКОВ ЧТЕНИЯ И ПЕРЕВОДА ПРИ ФОРМИРОВАНИИ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ.
ПРОБЛЕМНОЕ ОБУЧЕНИЕ КАК ОДИН ИЗ МЕТОДОВ ФОРМИРОВАНИЯ ДУХОВНЫХ КАЧЕСТВ ЛИЧНОСТИ ОБУЧАЮЩИХСЯ НА УРОКАХ ЛИТЕРАТУРЫ.
ПРОБЛЕМНОЕ ПОЛЕ РАЗВИТИЯ ЭКОЛОГИЧЕСКОГО СОЗНАНИЯ ЛИЧНОСТИ В ЦИФРОВОМ ПРОСТРАНСТВЕ.
ПРОБЛЕМЫ ВОСПИТАНИЯ ЛИЧНОСТИ В ВУЗЕ КАК СОЦИАЛЬНОМ ИНСТИТУТЕ: ВОЗРАСТНОЙ КОНТЕКСТ.
ПРОБЛЕМЫ ВОСПИТАНИЯ ЛИЧНОСТИ В ПРОЦЕССЕ ПРЕПОДАВАНИЯ ОСНОВ МЕНЕДЖМЕНТА.
ПРОБЛЕМЫ И ВОЗМОЖНОСТИ ФОРМИРОВАНИЯ ИНФОРМАЦИОННОЙ КУЛЬТУРЫ ЛИЧНОСТИ В ВУЗЕ.
ПРОБЛЕМЫ ИЗУЧЕНИЯ ЛИЧНОСТИ НЕСОВЕРШЕННОЛЕТНЕГО ПРЕСТУПНИКА.
ПРОБЛЕМЫ ОПРЕДЕЛЕНИЯ УСПЕШНОСТИ ЛИЧНОСТИ В ПРОЦЕССЕ ЛИЧНОСТНО-ПРОФЕССИОНАЛЬНОГО РАЗВИТИЯ.
ПРОБЛЕМЫ САМОАКТУАЛИЗАЦИИ ЛИЧНОСТИ В ПЕДАГОГИЧЕСКОЙ ДЕЯТЕЛЬНОСТИ И ЕЁ ВЗАИМОСВЯЗЬ С УРОВНЕМ ПРОФЕССИОНАЛЬНОГО ВЫГОРАНИЯ.
ПРОБЛЕМЫ САМОВОСПИТАНИЯ И САМОРАЗВИТИЯ ЛИЧНОСТИ.
ПРОБЛЕМЫ САМОРЕАЛИЗАЦИИ ЛИЧНОСТИ В СОВРЕМЕННОМ СОЦИОКУЛЬТУРНОМ ИНФОРМАЦИОННОМ ПРОСТРАНСТВЕ.
ПРОБЛЕМЫ САМОРЕАЛИЗАЦИИ ЛИЧНОСТИ В ЦИФРОВУЮ ЭПОХУ.
ПРОБЛЕМЫ СОВРЕМЕННОЙ ПСИХОДИАГНОСТИКИ ЛИЧНОСТИ:ТЕОРИЯ И ИНСТРУМЕНТАРИИ.
ПРОБЛЕМЫ ФОРМИРОВАНИЯ ДУХОВНЫХ ИНТЕРЕСОВ ЛИЧНОСТИ В СОВРЕМЕННОМ ОБЩЕСТВЕ.
ПРОБЛЕМЫ ФОРМИРОВАНИЯ ЗДОРОВОЙ ЛИЧНОСТИ В ПРОЦЕССЕ ОБУЧЕНИЯ В ВЫСШЕЙ ШКОЛЕ.
ПРОБЛЕМЫ ФОРМИРОВАНИЯ КОММУНИКАТИВНОГО ПОВЕДЕНИЯ ЛИЧНОСТИ В ЭТНОКУЛЬТУРНОЙ СРЕДЕ.
ПРОБЛЕМЫ ФОРМИРОВАНИЯ ПОЛИЯЗЫКОВОЙ ЛИЧНОСТИ.
ПРОБЛЕМЫ ЭФФЕКТИВНОЙ ПРОФИЛАКТИКИ ДЕВИАНТНОГО ПОВЕДЕНИЯ ФОРМИРУЮЩЕЙСЯ ЛИЧНОСТИ В ОБРАЗОВАТЕЛЬНОЙ ОРГАНИЗАЦИИ В УСЛОВИЯХ ЦИФРОВИЗАЦИИ ВСЕХ СТОРОН ЖИЗНИ ОБЩЕСТВА.
ПРОГНОЗИРОВАНИЕ ПОВЕДЕНИЯ ПЕДАГОГОВ В УСЛОВИЯХ ТРАНСФОРМАЦИИ СИСТЕМЫ ОБРАЗОВАНИЯ НА ОСНОВЕ ДИСПОЗИЦИОННОЙ КОНЦЕПЦИИ ЛИЧНОСТИ ЯДОВА.
ПРОГРАММА ЭКОЛОГИЯ ДУШИ КАК ОСНОВА ФОРМИРОВАНИЯ ЦЕННОСТНО-СМЫСЛОВОГО ОРИЕНТИРА ЛИЧНОСТИ ДЕТЕЙ-СИРОТ.
ПРОГРАММА ФАКУЛЬТАТИВНОГО КУРСА ОСНОВЫ ПРАВОСЛАВНОЙ КУЛЬТУРЫ УЧИТЕЛЯ МУЗЫКИ КАК СРЕДСТВО ФОРМИРОВАНИЯ КУЛЬТУРЫ ЛИЧНОСТИ СТУДЕНТА ПЕДАГОГИЧЕСКОГО ВУЗА.
ПРОГРАММНОЕ ОБЕСПЕЧЕНИЕ ПРОЦЕССА РАЗВИТИЯ ТВОРЧЕСКОГО СТАНОВЛЕНИЯ ЛИЧНОСТИ СТУДЕНТОВ.
ПРОЕКТИРОВАНИЕ И РЕАЛИЗАЦИЯ ВОЗМОЖНОСТЕЙ ПОВЫШЕНИЯ КАЧЕСТВА САМОРЕАЛИЗАЦИИ И СОТРУДНИЧЕСТВА ЛИЧНОСТИ В СПОРТИВНО-ОБРАЗОВАТЕЛЬНОЙ СРЕДЕ.
ПРОЕКТИРОВАНИЕ И РЕАЛИЗАЦИЯ МОДЕЛИ СТАНОВЛЕНИЯ ЖИЗНЕСПОСОБНОЙ ЛИЧНОСТИ БУДУЩЕГО УЧИТЕЛЯ В УСЛОВИЯХ ПЕДАГОГИЧЕСКОГО КОЛЛЕДЖА.
ПРОЕКТИРОВАНИЕ ОБРАЗОВАТЕЛЬНОЙ СРЕДЫ КАК УСЛОВИЕ ВОСПИТАНИЯ ТВОРЧЕСКОЙ ЛИЧНОСТИ.
ПРОЕКТИРОВАНИЕ РЕФЛЕКСИВНОГО ПОЛЯ КАК СПОСОБА ОРГАНИЗАЦИИ ДЕЯТЕЛЬНОСТИ ЛИЧНОСТИ.
ПРОЕКТНАЯ ДЕЯТЕЛЬНОСТЬ ШКОЛЬНИКОВ КАК ПЕРСПЕКТИВНОЕ НАПРАВЛЕНИЕ РАЗВИТИЯ ОБРАЗОВАНИЯ С ЦЕЛЬЮ ФОРМИРОВАНИЯ ЛИЧНОСТИ РЕБЕНКА.
ПРОЕКТНО-ТЕХНОЛОГИЧЕСКИЙ МЕТОД ОБУЧЕНИЯ-ОСНОВА РАЗВИТИЯ СОВРЕМЕННОЙ ЛИЧНОСТИ ШКОЛЬНИКА В УСЛОВИЯХ НОВОЙ УКРАИНСКОЙ ШКОЛЫ.
ПРОЕКТНОЕ ОБУЧЕНИЕ КАК УСЛОВИЕ ФОРМИРОВАНИЯ КОНКУРЕНТОСПОСОБНОЙ ЛИЧНОСТИ.
ПРОФЕССИОНАЛЬНОЕ ОБРАЗОВАНИЕ КАК ДОСТОЯНИЕ ЛИЧНОСТИ.
ПРОФЕССИОНАЛИЗАЦИЯ ЛИЧНОСТИ ВОЕННОГО СПЕЦИАЛИСТА: СУЩНОСТЬ И СОДЕРЖАНИЕ.
ПРОФЕССИОНАЛИЗМ ЛИЧНОСТИ КАК УНИВЕРСАЛЬНАЯ КАТЕГОРИЯ СОВРЕМЕННОГО ОБРАЗОВАНИЯ.
ПРОФЕССИОНАЛИЗМ ПЕДАГОГА КАК КАТЕГОРИЯ КУЛЬТУРЫ: К ВОПРОСУ О ФОРМИРОВАНИИ ПРОФЕССИОНАЛЬНОЙ ЛИЧНОСТИ СОВРЕМЕННОГО УЧИТЕЛЯ.
ПРОФЕССИОНАЛЬНАЯ ДЕФОРМАЦИЯ ЛИЧНОСТИ И ФАКТОРЫ ВЫЗЫВАЮЩИЕ ЕЕ РАЗВИТИЕ У СОТРУДНИКОВ СЛЕДСТВЕННЫХ ПОДРАЗДЕЛЕНИЙ ОРГАНОВ ВНУТРЕННИХ ДЕЛ.
ПРОФЕССИОНАЛЬНАЯ ДЕФОРМАЦИЯ ЛИЧНОСТИ ПЕДАГОГА И ПУТИ ЕЕ ПРЕОДОЛЕНИЯ.
ПРОФЕССИОНАЛЬНАЯ ДЕФОРМАЦИЯ ЛИЧНОСТИ: АНАЛИЗ ОСНОВНЫХ ПСИХОЛОГИЧЕСКИХ ДЕТЕРМИНАНТ.
ПРОФЕССИОНАЛЬНАЯ ИДЕНТИФИКАЦИЯ КАК МЕХАНИЗМ САМОРАЗВИТИЯ ПРОФЕССИОНАЛЬНОГО СОЗНАНИЯ ЛИЧНОСТИ.
ПРОФЕССИОНАЛЬНАЯ ИНИЦИАТИВНОСТЬ КАК ЗНАЧИМОЕ КАЧЕСТВО ЛИЧНОСТИ БУДУЩЕГО ПЕДАГОГА.
ПРОФЕССИОНАЛЬНАЯ КОМПЕТЕНТНОСТЬ КАК ИНТЕГРАЛЬНАЯ ХАРАКТЕРИСТИКА ЛИЧНОСТИ СТУДЕНТА В ОБРАЗОВАТЕЛЬНОМ ПРОСТРАНСТВЕ ВУЗА.
ПРОФЕССИОНАЛЬНАЯ НАПРАВЛЕННОСТЬ И МОТИВАЦИЯ УЧЕБНО-ПРОФЕССИОНАЛЬНОЙ ДЕЯТЕЛЬНОСТИ СТУДЕНТОВ КАК ОСНОВАНИЯ СТАНОВЛЕНИЯ ЛИЧНОСТИ ПЕДАГОГА НА ЭТАПЕ ОБУЧЕНИЯ В ВУЗЕ.
ПРОФЕССИОНАЛЬНАЯ ОТРАСЛЕВАЯ ИДЕНТИФИКАЦИЯ ЛИЧНОСТИ: СОДЕРЖАНИЕ СТРУКТУРА КОНЦЕПЦИЯ УПРАВЛЕНИЯ.
ПРОФЕССИОНАЛЬНО ВАЖНЫЕ КАЧЕСТВА ЛИЧНОСТИ КАК ФАКТОР КОНКУРЕНТОСПОСОБНОСТИ СОВРЕМЕННЫХ СПЕЦИАЛИСТОВ СФЕРЫ ЧЕЛОВЕК-ЧЕЛОВЕК.
ПРОФЕССИОНАЛЬНО ЗНАЧИМЫЕ ЧЕРТЫ ЛИЧНОСТИ ПРАКТИЧЕСКОГО ПСИХОЛОГА.
ПРОФЕССИОНАЛЬНО-ЛИЧНОСТНЫЕ КАЧЕСТВА СОВРЕМЕННОГО УЧИТЕЛЯ ТЕХНОЛОГИИ КАК ФАКТОР ФОРМИРОВАНИЯ ВЫСОКОНРАВСТВЕННОЙ ЛИЧНОСТИ.
ПРОФЕССИОНАЛЬНО-ПРИКЛАДНАЯ ФИЗИЧЕСКАЯ ПОДГОТОВКА КАК СРЕДСТВО ВОСПИТАНИЯ И СОВЕРШЕНСТВОВАНИЯ ЛИЧНОСТИ КУРСАНТА.
ПРОФЕССИОНАЛЬНО-РОЛЕВОЕ САМООПРЕДЕЛЕНИЕ ЛИЧНОСТИ.
ПРОФЕССИОНАЛЬНО-ТВОРЧЕСКАЯ САМОРЕАЛИЗАЦИЯ ЛИЧНОСТИ КАК КАТЕГОРИЯ ПРОФЕССИОНАЛЬНОЙ УСПЕШНОСТИ В ОБРАЗОВАНИИ.
ПРОФЕССИОНАЛЬНО-ЦЕННОСТНЫЕ ОРИЕНТАЦИИ ЛИЧНОСТИ: ТЕОРИЯ И ПРАКТИКА.
ПРОФЕССИОНАЛЬНОЕ МИРОВОЗЗРЕНИЕ ЛИЧНОСТИ КАК КОМПОНЕНТ КОМПЕТЕНТНОСТНОЙ МОДЕЛИ СПЕЦИАЛИСТА.
ПРОФЕССИОНАЛЬНОЕ РАЗВИТИЕ ЛИЧНОСТИ БУДУЩЕГО СПЕЦИАЛИСТА ПО СОЦИАЛЬНОЙ РАБОТЕ В УСЛОВИЯХ ВЫСШЕГО ОБРАЗОВАНИЯ.
ПРОФЕССИОНАЛЬНОЕ РАЗВИТИЕ ЛИЧНОСТИ БУДУЩЕГО СПЕЦИАЛИСТА ПО СОЦИАЛЬНОЙ РАБОТЕ В УСЛОВИЯХ ВЫСШЕГО ОБРАЗОВАНИЯ.
ПРОФЕССИОНАЛЬНОЕ РАЗВИТИЕ ЛИЧНОСТИ В АСПЕКТЕ СИНЕРГЕТИЧЕСКОЙ АКМЕОЛОГИИ.
ПРОФЕССИОНАЛЬНОЕ РАЗВИТИЕ ЛИЧНОСТИ С ТОЧКИ ЗРЕНИЯ СОВРЕМЕННОЙ ПСИХОЛОГИИ.
ПРОФЕССИОНАЛЬНОЕ САМООБРАЗОВАНИЕ - РЕСУРС СТАНОВЛЕНИЯ ТВОРЧЕСКОЙ ЛИЧНОСТИ ПЕДАГОГА-ВОСПИТАТЕЛЯ.
ПРОФЕССИОНАЛЬНОЕ САМООПРЕДЕЛЕНИЕ ЛИЧНОСТИ КАК ПЕДАГОГИЧЕСКАЯ ПРОБЛЕМА.
ПРОФЕССИОНАЛЬНОЕ САМООПРЕДЕЛЕНИЕ ЛИЧНОСТИ: КРИТЕРИИ ГОТОВНОСТИ УЧАЩИХСЯ И УРОВНИ СФОРМИРОВАННОСТИ.
ПРОФЕССИОНАЛЬНОЕ СТАНОВЛЕНИЕ ЛИЧНОСТИ В ОБРАЗОВАТЕЛЬНОЙ СРЕДЕ.
ПРОФЕССИОНАЛЬНЫЕ ДЕФОРМАЦИИ ЛИЧНОСТИ ПЕДАГОГА: ПРОБЛЕМЫ И ПУТИ РЕШЕНИЯ.
ПРОФЕССИОНАЛЬНЫЙ ОТБОР И РАЗВИТИЕ ПРОФЕССИОНАЛЬНО ЗНАЧИМЫХ КАЧЕСТВ ЛИЧНОСТИ У БУДУЩИХ УПРАВЛЕНЧЕСКИХ КАДРОВ В СФЕРЕ ОБРАЗОВАНИЯ.
ПРОЦЕСС ВОСПИТАНИЯ КАК ЭТАП ЦЕЛЕНАПРАВЛЕННОГО ФОРМИРОВАНИЯ ЛИЧНОСТИ.
ПРОЯВЛЕНИЕ ДУХОВНОСТИ КАК ОСНОВЫ ФИЗИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ.
ПРОЯВЛЕНИЕ ЭМОЦИОНАЛЬНОГО ИНТЕЛЛЕКТА КАК СУЩЕСТВЕННЫЙ ПРИЗНАК НАРРАТИВИЗАЦИИ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ.
ПРОЯВЛЕНИЯ ОТВЕТСТВЕННОСТИ СУВОРОВЦЕВ С РАЗЛИЧНОЙ НАПРАВЛЕННОСТЬЮ ЛИЧНОСТИ НА УРОКАХ ТЕХНОЛОГИИ.
ПСИХИЧЕСКОЕ И ПСИХОЛОГИЧЕСКОЕ ЗДОРОВЬЕ В СТРУКТУРЕ ЛИЧНОСТИ ПЕДАГОГА.
ПСИХОЛОГИЧЕСКАЯ БЕЗОПАСНОСТЬ ЛИЧНОСТИ.
ПСИХОЛОГИЧЕСКАЯ БЕЗОПАСНОСТЬ ЛИЧНОСТИ В СТРЕССОВЫХ СИТУАЦИЯХ.
ПСИХОЛОГИЧЕСКАЯ ДИАГНОСТИКА ВИКТИМНОСТИ КАК СОЦИАЛЬНО-ПСИХОЛОГИЧЕСКОГО СВОЙСТВА ЛИЧНОСТИ.
ПСИХОЛОГИЧЕСКАЯ УСТОЙЧИВОСТЬ КАК ФАКТОР ФОРМИРОВАНИЯ ЛИЧНОСТИ В ПОМОГАЮЩИХ ПРОФЕССИЯХ.
ПСИХОЛОГИЧЕСКИЕ АСПЕКТЫ ИССЛЕДОВАНИЯ ПРОБЛЕМЫ РАЗВИТИЯ ПРОФЕССИОНАЛЬНОГО СТАНОВЛЕНИЯ ЛИЧНОСТИ СТУДЕНТА.
ПСИХОЛОГИЧЕСКИЕ ОСНОВЫ ПРОФЕССИОНАЛЬНОГО РАЗВИТИЯ ЛИЧНОСТИ ОБУЧАЮЩИХСЯ ВУЗА.
ПСИХОЛОГИЧЕСКИЕ ОСОБЕННОСТИ ВЗАИМОСВЯЗИ ПОНЯТИЙ ИДЕНТИЧНОСТИ И ПРОФЕССИОНАЛЬНОЙ ИДЕНТИЧНОСТИ ЛИЧНОСТИ.
ПСИХОЛОГИЧЕСКИЕ ОСОБЕННОСТИ ВИРТУАЛЬНОЙ ЛИЧНОСТИ ПОЛЬЗОВАТЕЛЯ И ЕЕ ТИПЫ.
ПСИХОЛОГИЧЕСКИЕ ОСОБЕННОСТИ КАРЬЕРЫ ЛИЧНОСТИ.
ПСИХОЛОГИЧЕСКИЕ ОСОБЕННОСТИ ЛИЧНОСТИ ТРЕНЕРА.
ПСИХОЛОГИЧЕСКИЕ ОСОБЕННОСТИ ЛИЧНОСТИ УЧИТЕЛЯ.
ПСИХОЛОГИЧЕСКИЕ ОСОБЕННОСТИ ЛИЧНОСТИ ШКОЛЬНИКОВ С СОЦИАЛЬНО ДЕЗАДАПТИРОВАННЫМ ПОВЕДЕНИЕМ.
ПСИХОЛОГИЧЕСКИЕ ОСОБЕННОСТИ ЛИЧНОСТИ ОПРЕДЕЛЯЮЩИЕ СКЛОННОСТЬ К ПРЕДПРИНИМАТЕЛЬСКОЙ ДЕЯТЕЛЬНОСТИ (НА ПРИМЕРЕ СТУДЕНТОВ ВУЗОВ).
ПСИХОЛОГИЧЕСКИЕ ОСОБЕННОСТИ ОТВЕТСТВЕННОСТИ И РЕФЛЕКСИВНОСТИ ЛИЧНОСТИ СТУДЕНТОВ ЮНОШЕСКОГО ВОЗРАСТА.
ПСИХОЛОГИЧЕСКИЕ ОСОБЕННОСТИ РАЗВИТИЯ ЛИЧНОСТИ ПОДРОСТКОВОГО ВОЗРАСТА.
ПСИХОЛОГИЧЕСКИЕ ОСОБЕННОСТИ САМООПРЕДЕЛЕНИЯ ЛИЧНОСТИ В ПОСТИНДУСТРИАЛЬНОМ ОБЩЕСТВЕ.
ПСИХОЛОГИЧЕСКИЕ ОСОБЕННОСТИ САМОРАЗВИТИЯ ЛИЧНОСТИ СТУДЕНТОВ ГУМАНИТАРНЫХ НАПРАВЛЕНИИ.
ПСИХОЛОГИЧЕСКИЕ ОСОБЕННОСТИ ЦЕННОСТНОГО ОТНОШЕНИЯ К ЗДОРОВЬЮ ЛИЧНОСТИ С РАЗНЫМ УРОВНЕМ САМОАКТУАЛИЗАЦИИ.
ПСИХОЛОГИЧЕСКИЕ ПРОБЛЕМЫ РАЗВИТИЯ ЛИЧНОСТИ В ПРОФИЛЬНЫХ ПЕДАГОГИЧЕСКИХ КЛАССАХ.
ПСИХОЛОГИЧЕСКИЕ РЕСУРСЫ САМОРАЗВИТИЯ ЛИЧНОСТИ В ЗРЕЛОМ ВОЗРАСТЕ.
ПСИХОЛОГИЧЕСКИЕ СОСТАВЛЯЮЩИЕ ИМИДЖА ЛИЧНОСТИ ПРЕПОДАВАТЕЛЯ ВЫСШЕЙ ШКОЛЫ.
ПСИХОЛОГИЧЕСКИЕ ФАКТОРЫ СУБЪЕКТИВНОГО БЛАГОПОЛУЧИЯ ЛИЧНОСТИ.
ПСИХОЛОГИЧЕСКИЙ АНАЛИЗ ЛИЧНОСТИ СПОРТСМЕНА.
ПСИХОЛОГИЧЕСКИЙ КОНТЕКСТ ВЗАИМОСВЯЗИ ФИЗИЧЕСКОГО И ЭСТЕТИЧЕСКОГО ВОСПИТАНИЯ ЛИЧНОСТИ ШКОЛЬНИКА.
ПСИХОЛОГИЧЕСКИЙ МЕХАНИЗМ САМОРАСКРЫТИЯ СПОСОБНОСТЕЙ ЛИЧНОСТИ В ОБЩЕМ ОБРАЗОВАНИИ.
ПСИХОЛОГИЧЕСКИЙ РЕСУРС ЛИЧНОСТИ КАК НЕОТЪЕМЛЕМАЯ ЭКОЛОГО-ПСИХОЛОГИЧЕСКАЯ ХАРАКТЕРИСТИКА (ВЗАИМОСВЯЗЬ ЛИЧНОСТНОГО РАЗВИТИЯ И КАЧЕСТВА ЖИЗНИ ЧЕЛОВЕКА).
ПСИХОЛОГИЧЕСКОЕ ЗДОРОВЬЕ И ЖИЗНЕННЫЕ ПЕРСПЕКТИВЫ ЛИЧНОСТИ.
ПСИХОЛОГИЧЕСКОЕ ИССЛЕДОВАНИЕ ЭМОЦИОНАЛЬНОСТИ ЛИЧНОСТИ.
ПСИХОЛОГИЧЕСКОЕ РАЗВИТИЕ ЛИЧНОСТИ В УСЛОВИЯХ НЕНОРМАТИВНОГО КРИЗИСА ЗАНЯТОСТИ.
ПСИХОЛОГИЯ ЛИЧНОСТИ В ИСЛАМЕ ПО ДИСЦИПЛИНЕ ИСЛАМСКАЯ ЭТИКА (АХЛЯК).
ПСИХОЛОГИЯ ЛИЧНОСТИ ПЕРВОКУРСНИКА. ПРОБЛЕМЫ АДАПТАЦИИ В УНИВЕРСИТЕТЕ.
ПСИХОЛОГИЯ ПРОФЕССИОНАЛЬНО-КАРЬЕРНОГО РАЗВИТИЯ ЛИЧНОСТИ.
ПСИХОЛОГО-ОБРАЗОВАТЕЛЬНОЕ СОПРОВОЖДЕНИЕ СТУДЕНТА ВУЗА КАК ОСНОВА РАЗВИТИЯ ИННОВАЦИОННОГО ПОТЕНЦИАЛА ЛИЧНОСТИ БУДУЩЕГО ВЫПУСКНИКА.
ПСИХОЛОГО-ПЕДАГОГИЧЕСКАЯ ПОДДЕРЖКА ЛИЧНОСТИ В ВЫБОРЕ ПРОФЕССИИ.
ПСИХОЛОГО-ПЕДАГОГИЧЕСКИЕ АСПЕКТЫ ФОРМИРОВАНИЯ ЛИЧНОСТИ КАК ОРГАНИЗАТОРА В ШКОЛЕ.
ПСИХОЛОГО-ПЕДАГОГИЧЕСКИЕ ОСНОВЫ РАЗВИТИЯ И ПРОФЕССИОНАЛЬНОГО СТАНОВЛЕНИЯ ЛИЧНОСТИ.
ПСИХОЛОГО-ПЕДАГОГИЧЕСКИЕ ФАКТОРЫ РЕШЕНИЯ ПРОБЛЕМЫ САМООБРАЗОВАНИЯ ЛИЧНОСТИ.
ПСИХОЛОГО-ПЕДАГОГИЧЕСКОЕ СОПРОВОЖДЕНИЕ РАЗВИТИЯ ЛИЧНОСТИ ДЕВИАНТНОГО ПОДРОСТКА.
ПУТИ ВЛИЯНИЯ СПОРТИВНОГО ПЕДАГОГА НА ПРОЦЕСС САМООРГАНИЗАЦИИ И САМОРАЗВИТИЯ ЛИЧНОСТИ СТУДЕНТА В ВУЗЕ.
РАЗВИТИЕ ГУМАНИТАРНОЙ ПОЗИЦИИ ЛИЧНОСТИ КАК УСЛОВИЕ ФОРМИРОВАНИЯ ЕЕ ПСИХОЛОГИЧЕСКОГО ЗДОРОВЬЯ.
РАЗВИТИЕ ДУХОВНО-НРАВСТВЕННЫХ КАЧЕСТВ ПОЛИКУЛЬТУРНОЙ ЛИЧНОСТИ В СОВРЕМЕННЫХ УСЛОВИЯХ.
РАЗВИТИЕ ЖИЗНЕСПОСОБНОСТИ ЛИЧНОСТИ В ОТРОЧЕСТВЕ.
РАЗВИТИЕ И СТАНОВЛЕНИЕ ЛИЧНОСТИ В УСЛОВИЯХ ДЕТСКИХ ДОМОВ.
РАЗВИТИЕ ИНТЕЛЛЕКТУАЛЬНОГО ПОТЕНЦИАЛА ЛИЧНОСТИ В ХХI ВЕКЕ.
РАЗВИТИЕ КОММУНИКАТИВНОГО ПОТЕНЦИАЛА ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТА СРЕДСТВАМИ ФРАНЦУЗСКОГО ЯЗЫКА.
РАЗВИТИЕ КРЕАТИВНО-ДЕЯТЕЛЬНОСТНОГО КОМПОНЕНТА В ПРОЦЕССЕ ФОРМИРОВАНИЯ КОНКУРЕНТОСПОСОБНОЙ ЛИЧНОСТИ ЖУРНАЛИСТА В ВУЗЕ.
РАЗВИТИЕ КУЛЬТУРНОЙ ИДЕНТИЧНОСТИ ЛИЧНОСТИ В ПРОЦЕССЕ ИЗУЧЕНИЯ ИНОСТРАННОГО ЯЗЫКА В ПОЛИКУЛЬТУРНОМ ОБРАЗОВАТЕЛЬНОМ ПРОСТРАНСТВЕ ВУЗА.
РАЗВИТИЕ КУЛЬТУРОЛОГИЧЕСКОЙ ПОЗИЦИИ ЛИЧНОСТИ В УСЛОВИЯХ ПОЛИКУЛЬТУРНОГО ОБРАЗОВАНИЯ.
РАЗВИТИЕ ЛИДЕРСКОГО ПОТЕНЦИАЛА ЛИЧНОСТИ КУРСАНТОВ В ПРОЦЕССЕ ИЗУЧЕНИЯ АВИАЦИОННОГО АНГЛИЙСКОГО ЯЗЫКА.
РАЗВИТИЕ ЛИЧНОСТИ В ВУЗЕ.
РАЗВИТИЕ ЛИЧНОСТИ ВЗРОСЛЫХ ОБУЧАЮЩИХСЯ СРЕДСТВАМИ ИНОСТРАННОГО ЯЗЫКА: ЦЕЛИ И ПУТИ РЕАЛИЗАЦИИ.
РАЗВИТИЕ ЛИЧНОСТИ И ИНДИВИДУАЛЬНОСТИ СТУДЕНТА-ПЕРВОКУРСНИКА В СОЦИОКУЛЬТУРНОМ ПРОСТРАНСТВЕ ПЕДАГОГИЧЕСКОГО ВУЗА.
РАЗВИТИЕ ЛИЧНОСТИ ИНОФОНОВ СРЕДСТВАМИ МУЗЫКАЛЬНОГО ИСКУССТВА.
РАЗВИТИЕ ЛИЧНОСТИ КАК СТРАТЕГИЧЕСКАЯ ЛИНИЯ СОВРЕМЕННОЙ СИСТЕМЫ ПРОФЕССИОНАЛЬНОГО ОБРАЗОВАНИЯ.
РАЗВИТИЕ ЛИЧНОСТИ КАК СУБЪЕКТА ДЕЯТЕЛЬНОСТИ.
РАЗВИТИЕ ЛИЧНОСТИ НЕСОВЕРШЕННОЛЕТНИХ В СОВРЕМЕННОЙ РОССИИ.
РАЗВИТИЕ ЛИЧНОСТИ ОБУЧАЮЩЕГОСЯ-ОДНА ИЗ ОСНОВНЫХ ЗАДАЧ ВУЗА.
РАЗВИТИЕ ЛИЧНОСТИ ОБУЧАЮЩИХСЯ В ПРОЦЕССЕ ПРИМЕНЕНИЯ ИНФОРМАЦИОННЫХ ТЕХНОЛОГИИ.
РАЗВИТИЕ ЛИЧНОСТИ СПЕЦИАЛИСТА В ПРОЦЕССЕ НЕПРЕРЫВНОГО ОБРАЗОВАНИЯ.
РАЗВИТИЕ ЛИЧНОСТИ УЧАЩЕГОСЯ: НОВЫЕ ПОДХОДЫ И РЕШЕНИЯ.
РАЗВИТИЕ НАПРАВЛЕННОСТИ ЛИЧНОСТИ В ПРОЦЕССЕ ОБРАЗОВАТЕЛЬНОЙ ПОДГОТОВКИ ПЕДАГОГА-ПСИХОЛОГА В ВУЗЕ.
РАЗВИТИЕ НРАВСТВЕННЫХ ЧУВСТВ ЛИЧНОСТИ ШКОЛЬНИКА В ПЕДАГОГИЧЕСКОЙ СИСТЕМЕ СУХОМЛИНСКОГО.
РАЗВИТИЕ ПОЛИКУЛЬТУРНОЙ МНОГОЯЗЫЧНОЙ ЛИЧНОСТИ КАК ЦЕЛЬ ОБУЧЕНИИ ИНОСТРАННОМУ ЯЗЫКУ.
РАЗВИТИЕ ПРОФЕССИОНАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТОВ В ПРОЦЕССЕ ВУЗОВСКОГО ОБУЧЕНИЯ (ПО ИТОГАМ ПРОВЕДЕНИЯ МЕЖДУНАРОДНОЙ НАУЧНО-МЕТОДИЧЕСКОЙ КОНФЕРЕНЦИИ).
РАЗВИТИЕ СОЦИОКУЛЬТУРНОГО ПОТЕНЦИАЛА ЛИЧНОСТИ В КУЛЬТУРОТВОРЧЕСКОЙ СРЕДЕ.
РАЗВИТИЕ СПОСОБНОСТИ К ТВОРЧЕСКОЙ ДЕЯТЕЛЬНОСТИ ЛИЧНОСТИ В ПРОЦЕССЕ ДУХОВНО-НРАВСТВЕННОГО ВОСПИТАНИЯ.
РАЗВИТИЕ ТВОРЧЕСКОГО ПОТЕНЦИАЛА КАК ФАКТОРА ФОРМИРОВАНИЯ СОЦИАЛЬНО-ТВОРЧЕСКОЙ ЛИЧНОСТИ БУДУЩЕГО СПЕЦИАЛИСТА СОЦИАЛЬНОЙ РАБОТЫ.
РАЗВИТИЕ ТВОРЧЕСКОГО ПОТЕНЦИАЛА ЛИЧНОСТИ НА УРОКАХ ИЗОБРАЗИТЕЛЬНОГО ИСКУССТВА.
РАЗВИТИЕ ТВОРЧЕСКОГО ПОТЕНЦИАЛА ЛИЧНОСТИ ПЕДАГОГА РАБОТАЮЩЕГО С ОДАРЕННЫМИ ДЕТЬМИ И МОЛОДЕЖЬЮ.
РАЗВИТИЕ ТВОРЧЕСКОЙ ЛИЧНОСТИ СРЕДСТВАМИ ДЕКОРАТИВНО-ПРИКЛАДНОГО ИСКУССТВА.
РАЗВИТИЕ ЭМОЦИОНАЛЬНОГО ИНТЕЛЛЕКТА ПСИХОЛОГИЧЕСКОЙ ГРАНИЦЫ ЛИЧНОСТИ И САМООТНОШЕНИЯ У БУДУЩИХ СПЕЦИАЛИСТОВ-ПСИХОЛОГОВ (НА ПРИМЕРЕ СТУДЕНТОВ ФАКУЛЬТЕТА ЮРИДИЧЕСКОЙ ПСИХОЛОГИИ МГППУ).
РАЗВИТИЕ ЭСТЕТИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ КАК ИСТОРИЧЕСКИ СЛОЖИВШАЯСЯ ПЕДАГОГИЧЕСКАЯ ПРОБЛЕМА.
РАЗВИТИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ В АСПЕКТЕ ФОРМИРОВАНИЯ КУЛЬТУРЫ ОБЩЕНИЯ.
РАЗВИТИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ МЛАДШЕГО ШКОЛЬНИКА: КОММУНИКАТИВНЫЙ АСПЕКТ.
РАЗВИТИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТОВ ВУЗА ПРИ ИЗУЧЕНИИ ИНОСТРАННОГО ЯЗЫКА В УСЛОВИЯХ ПОЛИКУЛЬТУРНОЙ ЯЗЫКОВОЙ СРЕДЫ.
РАЗРАБОТКА ИНСТРУМЕНТАРИЯ ДЛЯ ИЗУЧЕНИЯ СОЦИАЛЬНО-ПСИХОЛОГИЧЕСКОЙ ИНТЕРПРЕТАЦИИ ЛИЧНОСТИ ПРЕПОДАВАТЕЛЯ СТУДЕНТАМИ НА ОСНОВЕ МОДЕЛИРОВАНИЯ ЭТАЛОНА ЕГО РОЛЕВОГО ОБРАЗА.
РАЗРАБОТКА ИНТЕРАКТИВНОЙ ИГРЫ ВЫДАЮЩИЕСЯ ЛИЧНОСТИ С ИСПОЛЬЗОВАНИЕМ СЕРВИСА KAHOOT.COM В РАМКАХ ИНТЕЛЛЕКТУАЛЬНОГО МАРАФОНА-В МБОУ ЛИЦЕЙ ПРОТВИНО.
РЕАКТИВНЫЕ ОБРАЗОВАНИЯ И ОТРИЦАНИЕ РЕАЛЬНОСТИ В АСПЕКТЕ АССЕРТИВНОСТИ И ТРЕВОЖНОСТИ ЛИЧНОСТИ.
РЕАЛИЗАЦИЯ ПРОЕКТА ДЕЯТЕЛЬНОСТИ ПЕДАГОГА-КУРАТОРА НАПРАВЛЕННОГО НА ФОРМИРОВАНИЕ НРАВСТВЕННО-ПАТРИОТИЧЕСКОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ КУРСАНТОВ ОБРАЗОВАТЕЛЬНЫХ ОРГАНИЗАЦИЙ МВД РОССИИ.
РЕЗУЛЬТАТЫ ЭМПИРИЧЕСКОГО ИССЛЕДОВАНИЯ СОЦИАЛИЗАЦИИ ЛИЧНОСТИ РЕБЕНКА В СИСТЕМЕ ДОПОЛНИТЕЛЬНОГО ОБРАЗОВАНИЯ.
РЕСУРСНОЕ ОБЕСПЕЧЕНИЕ ГАРМОНИЗАЦИИ Я-КОНЦЕПЦИИ ЛИЧНОСТИ СТУДЕНТОВ.
РЕФЛЕКСИВНОСТЬ КАК СВОЙСТВО ЛИЧНОСТИ В ЮНОШЕСКОМ ВОЗРАСТЕ.
РЕФЛЕКСИВНЫЕ ПРИНЦИПЫ РАЗВИТИЯ ЛИЧНОСТИ В УСЛОВИЯХ ИЗМЕНЯЮЩЕГОСЯ ИНФОРМАЦИОННОГО СОДЕРЖАНИЯ.
РЕЧЕВАЯ КОМПЕТЕНТНОСТЬ КАК ОСНОВА ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ.
РЕЧЕВАЯ КУЛЬТУРА В СОХРАНЕНИИ НАЦИОНАЛЬНОЙ ИДЕНТИЧНОСТИ ЛИЧНОСТИ.
РЕЧЕВОЕ РАЗВИТИЕ ЛИЧНОСТИ НА РУБЕЖЕ XX-XXI ВВ.
РЕШЕНИЕ ЗАДАЧ РАЗВИТИЯ ЛИЧНОСТИ УЧАЩИХСЯ В СОВРЕМЕННОЙ ШКОЛЕ.
РИТОРИЧЕСКАЯ ЛИЧНОСТЬ КАК СРЕДСТВО ОТ ЦИФРОВИЗАЦИИ.
РОБОТОТЕХНИКА ВО ВНЕУРОЧНОЙ ДЕЯТЕЛЬНОСТИ КАК СРЕДСТВО РАЗВИТИЯ ТВОРЧЕСКОГО ПОТЕНЦИАЛА ЛИЧНОСТИ ОБУЧАЮЩИХСЯ.
РОДИТЕЛЬСКАЯ ТОЛЕРАНТНОСТЬ КАК ФАКТОР РАЗВИТИЯ ЛИЧНОСТИ РЕБЕНКА.
РОЛЬ ВНЕУРОЧНОЙ ДЕЯТЕЛЬНОСТИ В ФОРМИРОВАНИИ ЛИЧНОСТИ РЕБЕНКА И ПОДРОСТКА.
РОЛЬ ДЕТСКОГО ТЕХНИЧЕСКОГО ТВОРЧЕСТВА В РАЗВИТИИ ТВОРЧЕСКОЙ ЛИЧНОСТИ.
РОЛЬ ДОМИНИРУЮЩЕЙ МОТИВАЦИИ В СТАНОВЛЕНИИ ПРОФЕССИОНАЛЬНОЙ СТРУКТУРЫ ЛИЧНОСТИ ПЕДАГОГА.
РОЛЬ ДОПОЛНИТЕЛЬНОГО ПРОФЕССИОНАЛЬНОГО ОБРАЗОВАНИЯ В НЕПРЕРЫВНОМ ОБРАЗОВАНИИ ЛИЧНОСТИ.
РОЛЬ ДОПОЛНИТЕЛЬНОЙ ОБЩЕОБРАЗОВАТЕЛЬНОЙ ПРОГРАММЫ СОЦИАЛЬНО-ПЕДАГОГИЧЕСКОЙ НАПРАВЛЕННОСТИ ЖИЗНЬ В ОБЩЕНИИ В РАЗВИТИИ ЛИЧНОСТИ РЕБЕНКА.
РОЛЬ И ЗНАЧЕНИЕ КОММУНИКАТИВНОЙ КОМПЕТЕНТНОСТИ В ПОВЕДЕНИИ ЛИЧНОСТИ.
РОЛЬ ИЗОБРАЗИТЕЛЬНОГО ИСКУССТВА В ФОРМИРОВАНИИ ЛИЧНОСТИ ШКОЛЬНИКА.
РОЛЬ ИНФОРМАЦИОННО-ОБРАЗОВАТЕЛЬНОГО ИНТЕРНЕТ-ПРОСТРАНСТВА В НЕПРЕРЫВНОМ ОБРАЗОВАНИИ ЛИЧНОСТИ.
РОЛЬ КЛАССИЧЕСКОЙ МУЗЫКИ В ДУХОВНО-НРАВСТВЕННОМ СТАНОВЛЕНИИ ЛИЧНОСТИ МЛАДШИХ ШКОЛЬНИКОВ.
РОЛЬ КУЛЬТУРНЫХ ПРАКТИК В ПРОЦЕССЕ ФОРМИРОВАНИЯ ДУХОВНО-НРАВСТВЕННОЙ КУЛЬТУРЫ ЛИЧНОСТИ.
РОЛЬ КУЛЬТУРЫ ОБЩЕНИЯ В РАЗВИТИИ ЛИЧНОСТИ.
РОЛЬ КУРАТОРА В СТАНОВЛЕНИИ ЛИЧНОСТИ СТУДЕНТА.
РОЛЬ ЛИЧНОСТИ В НАУКЕ И ИСКУССТВЕ.
РОЛЬ ЛИЧНОСТИ ПРЕПОДАВАТЕЛЯ ФИЛОСОФИИ В РАЗВИТИИ ПРОФЕССИОНАЛЬНОГО МЫШЛЕНИЯ ВРАЧА.
РОЛЬ МОТИВАЦИИ В ФОРМИРОВАНИИ ПОЛИЯЗЫКОВОЙ ЛИЧНОСТИ ШКОЛЬНИКА.
РОЛЬ МОТИВАЦИИ ПРИ ФОРМИРОВАНИИ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТОВ ВЫСШИХ УЧЕБНЫХ ЗАВЕДЕНИИ.
РОЛЬ МУЗЫКАЛЬНО-ТЕАТРАЛЬНОЙ ДЕЯТЕЛЬНОСТИ В РАЗВИТИИ ЛИЧНОСТИ МЛАДШЕГО ШКОЛЬНИКА.
РОЛЬ НАСЛЕДИЯ БИЧУРИНА И ЯКОВЛЕВА В ФОРМИРОВАНИИ У ВОЛКОВА ЭТНОПЕДАГОГИЧЕСКИХ ПАНСОФИЙСКИХ ВЗГЛЯДОВ НА СТАНОВЛЕНИЕ ЛИЧНОСТИ ЭТНОСА.
РОЛЬ ОБРАЗНОГО МЫШЛЕНИЯ В ФОРМИРОВАНИИ ТВОРЧЕСКИХ СПОСОБНОСТЕЙ ЛИЧНОСТИ.
РОЛЬ ОБЩЕОБРАЗОВАТЕЛЬНОЙ ШКОЛЫ В ЖИЗНЕННОЙ И ПРОФЕССИОНАЛЬНОЙ САМОРЕАЛИЗАЦИИ ЛИЧНОСТИ.
РОЛЬ ОРГАНИЗАЦИОННОЙ ПСИХОЛОГИИ ОБРАЗОВАНИЯ В РАЗВИТИИ КОНКУРЕНТОСПОСОБНОЙ ЛИЧНОСТИ.
РОЛЬ ПЕДАГОГА В ФОРМИРОВАНИИ КОНКУРЕНТОСПОСОБНОЙ ЛИЧНОСТИ СТУДЕНТА.
РОЛЬ ПОЗНАВАТЕЛЬНЫХ УНИВЕРСАЛЬНЫХ УЧЕБНЫХ ДЕЙСТВИЙ В ФОРМИРОВАНИИ НРАВСТВЕННО-ИНТЕЛЛЕКТУАЛЬНОЙ СФЕРЫ ЛИЧНОСТИ МЛАДШЕГО ШКОЛЬНИКА.
РОЛЬ ПОРТФОЛИО В ПРОЦЕССЕ ФОРМИРОВАНИЯ И САМОРАЗВИТИЯ ТВОРЧЕСКОЙ ЛИЧНОСТИ ПРИ ИЗУЧЕНИИ ИНОСТРАННОГО ЯЗЫКА.
РОЛЬ ПОСЛОВИЦ И ПОГОВОРОК В ФОРМИРОВАНИИ ЛИЧНОСТИ СТУДЕНТА-БУДУЩЕГО УЧИТЕЛЯ.
РОЛЬ ПРЕПОДАВАТЕЛЯ В ВОСПИТАНИИ ЛИЧНОСТИ В ПРОЦЕССЕ ОБУЧЕНИЯ.
РОЛЬ ПРЕПОДАВАТЕЛЯ ФИЗИЧЕСКОЙ ПОДГОТОВКИ В ПРОЦЕССЕ СОЦИАЛИЗАЦИИ ЛИЧНОСТИ КУРСАНТОВ ПЕРВЫХ КУРСОВ ОБРАЗОВАТЕЛЬНЫХ ОРГАНИЗАЦИЙ МВД РОССИИ.
РОЛЬ ПРИРОДЫ В ФОРМИРОВАНИИ ЛИЧНОСТИ ДОШКОЛЬНИКА.
РОЛЬ ПРОЕКТНОЙ ДЕЯТЕЛЬНОСТИ УЧАЩИХСЯ В ФОРМИРОВАНИИ ЛИЧНОСТИ.
РОЛЬ ПРОФЕССИОНАЛЬНОЙ ТВОРЧЕСКОЙ ДЕЯТЕЛЬНОСТИ ПЕДАГОГА В ДУХОВНО-НРАВСТВЕННОМ ВОСПИТАНИИ ЛИЧНОСТИ ОБУЧАЮЩИХСЯ.
РОЛЬ ПРОЦЕССА СОТВОРЧЕСТВА В РАЗВИТИИ ЛИЧНОСТИ УЧАЩЕГОСЯ.
РОЛЬ РЕЧЕВОЙ КУЛЬТУРЫ В РАЗВИТИИ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТА.
РОЛЬ САМОАНАЛИЗА В СТАНОВЛЕНИИ ЛИЧНОСТИ ОБУЧАЮЩЕГОСЯ.
РОЛЬ САМОДЕТЕРМИНАЦИИ ЛИЧНОСТИ В ОНЛАЙН-ОБРАЗОВАНИИ.
РОЛЬ САМООЦЕНКИ ЛИЧНОСТИ В ПОВЫШЕНИИ ЭФФЕКТИВНОСТИ УЧЕБНОЙ ДЕЯТЕЛЬНОСТИ СТУДЕНТОВ.
РОЛЬ САМОРАЗВИТИЯ В ПРОЦЕССАХ СТАНОВЛЕНИЯ ЛИЧНОСТИ.
РОЛЬ СЕМЬИ В ФИЗИЧЕСКОМ РАЗВИТИИ ЛИЧНОСТИ.
РОЛЬ СЕМЬИ В ФОРМИРОВАНИИ ДУХОВНО-НРАВСТВЕННОЙ ЛИЧНОСТИ.
РОЛЬ СЕМЬИ В ФОРМИРОВАНИИ ФИЗИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ.
РОЛЬ СИСТЕМЫ ДОПОЛНИТЕЛЬНОГО ОБРАЗОВАНИЯ В ФОРМИРОВАНИИ ЛИЧНОСТИ ДЕТЕЙ И ПОДРОСТКОВ.
РОЛЬ СМИ В ФОРМИРОВАНИИ ЛИЧНОСТИ БУДУЩЕГО УПРАВЛЕНЦАСОЦИОКУЛЬТУРНЫЙ И ЛИНГВИСТИЧЕСКИЙ АСПЕКТЫ.
РОЛЬ СОВРЕМЕННЫХ ИНФОРМАЦИОННЫХ ТЕХНОЛОГИЙ И ЭЛЕКТРОННЫХ СРЕДСТВ В ОБУЧЕНИИ ОБРАЗОВАНИИ И РАЗВИТИИ ЛИЧНОСТИ.
РОЛЬ СПОРТА В ФОРМИРОВАНИИ ЛИЧНОСТИ СТУДЕНТА.
РОЛЬ СПОРТА В ФОРМИРОВАНИИ ЛИЧНОСТИ СТУДЕНТА.
РОЛЬ ТЕАТРАЛИЗОВАННОЙ ДЕЯТЕЛЬНОСТИ В ВОСПИТАНИИ ДУХОВНО-НРАВСТВЕННОЙ КУЛЬТУРЫ ЛИЧНОСТИ.
РОЛЬ ТРУДОВОГО ВОСПИТАНИЯ В РАЗВИТИИ ЛИЧНОСТИ (ПЕДАГОГИЧЕСКИЙ ОПЫТ УШИНСКОГО).
РОЛЬ УЧЕНИЧЕСКОГО САМОУПРАВЛЕНИЯ В СТАНОВЛЕНИИ ЛИЧНОСТИ И СОЦИАЛИЗАЦИИ ОБУЧАЮЩИХСЯ.
РОЛЬ ФИЗИЧЕСКОЙ КУЛЬТУРЫ В ФОРМИРОВАНИИ ЛИЧНОСТИ.
РОЛЬ ФИЗИЧЕСКОЙ КУЛЬТУРЫ И СПОРТА В ДУХОВНОМ ВОСПИТАНИИ ЛИЧНОСТИ.
РОЛЬ ФИЗИЧЕСКОЙ КУЛЬТУРЫ И СПОРТА В РАЗВИТИИ ПОТЕНЦИАЛА ЛИЧНОСТИ СТУДЕНТА.
РОЛЬ ЯЗЫКОВОЙ ЛИЧНОСТИ ПЕРЕВОДЧИКА ПРИ ПЕРЕВОДЕ.
РОССИЙСКАЯ СИСТЕМА ВЫСШЕГО ОБРАЗОВАНИЯ И НОВАЯ ТЕОРЕТИЧЕСКАЯ ПЛАТФОРМА РАЗВИТИЯ ЛИЧНОСТИ.
РУКОВОДИТЕЛЬ ХОРЕОГРАФИЧЕСКОГО КОЛЛЕКТИВА КАК ФАКТОР ФОРМИРОВАНИЯ КУЛЬТУРНОЙ ЛИЧНОСТИ.
РУССКАЯ ЛИТЕРАТУРА И ПРОБЛЕМА ФОРМИРОВАНИЯ КУЛЬТУРНОЙ ИДЕНТИЧНОСТИ ЛИЧНОСТИ.
РУССКИЙ ЯЗЫК КАК СРЕДСТВО ВОСПИТАНИЯ ДУХОВНО-НРАВСТВЕННОЙ ЛИЧНОСТИ СТУДЕНТА.
САМОАКТУАЛИЗАЦИЯ ЛИЧНОСТИ РУКОВОДИТЕЛЕЙ ТЕРРИТОРИАЛЬНЫХ ОРГАНОВ МВД РОССИИ НА РАЙОННОМ УРОВНЕ В ХОДЕ РАЗВИВАЮЩЕГО КОНСУЛЬТИРОВАНИЯ.
САМОВОСПИТАНИЕ КУРСАНТОВ ОБРАЗОВАТЕЛЬНЫХ ОРГАНИЗАЦИЙ МВД РОССИИ И ЕГО МЕСТО В СИСТЕМЕ ФОРМИРОВАНИЯ ЛИЧНОСТИ СОТРУДНИКА ПРАВООХРАНИТЕЛЬНЫХ ОРГАНОВ.
САМООБРАЗОВАНИЕ КАК НЕОБХОДИМЫЙ ЭЛЕМЕНТ ДЛЯ НЕПРЕРЫВНОГО ОБРАЗОВАНИЯ И УСПЕШНОЙ ПРОФЕССИОНАЛЬНОЙ САМОРЕАЛИЗАЦИИ ЛИЧНОСТИ.
САМООПРЕДЕЛЕНИЕ ЛИЧНОСТИ И НАЦИОНАЛЬНАЯ ИДЕНТИЧНОСТЬ В ПОДРОСТКОВОМ ОБЩЕСТВЕ: ВЗАИМОСВЯЗЬ ЛИЧНОГО И ОБЩЕСТВЕННОГО.
САМООЦЕНКА В СТРУКТУРЕ ПСИХОЛОГИЧЕСКИХ КАЧЕСТВ ЛИЧНОСТИ ВОЕННОСЛУЖАЩИХ И КУРСАНТОВ ВОЕННОЙ ОБРАЗОВАТЕЛЬНОЙ ОРГАНИЗАЦИИ ВЫСШЕГО ОБРАЗОВАНИЯ ВОЙСК НАЦИОНАЛЬНОЙ ГВАРДИИ.
САМООЦЕНКА ЛИЧНОСТИ.
САМООЦЕНКА ЛИЧНОСТЬЮ СВОИХ ВОЗМОЖНОСТЕИ.
САМОПОЗНАНИЕ И САМОРАЗВИТИЕ ЛИЧНОСТИ В ИХ ВЗАИМОСВЯЗИ.
САМОПОЗНАНИЕ И САМОРАЗВИТИЕ ЛИЧНОСТИ В ЦИФРОВОМ ОБЩЕСТВЕ (ВМЕСТО ПРЕДИСЛОВИЯ).
САМОПРЕЗЕНТАЦИЯ КАК ПСИХОЛОГИЧЕСКИЙ МЕХАНИЗМ ФОРМИРОВАНИЯ ИМИДЖА ЛИЧНОСТИ.
САМОРАЗВИТИЕ ЛИЧНОСТИ ПОДРОСТКОВ В ПРОЦЕССЕ СОЦИАЛЬНО ПОЛЕЗНОЙ ДЕЯТЕЛЬНОСТИ.
САМОРАЗВИТИЕ ЛИЧНОСТИ СТУДЕНТА СРЕДСТВАМИ ВНЕАУДИТОРНОЙ РАБОТЫ (НА ПРИМЕРЕ МЕТОДИКО-МАТЕМАТИЧЕСКИХ ДИСЦИПЛИН).
САМОРЕАЛИЗАЦИЯ ЛИЧНОСТИ В ОБРАЗОВАТЕЛЬНОЙ СРЕДЕ В ПРОЦЕССЕ ФОРМИРОВАНИЯ ГРАЖДАНСКО-ПРАВОВОЙ ПОЗИЦИИ.
САМОРЕАЛИЗАЦИЯ ЛИЧНОСТИ В РАМКАХ КОМПЕТЕНТНОСТНОГО ПОДХОДА.
САМОРЕАЛИЗАЦИЯ ЧЕЛОВЕКА КАК ЛИЧНОСТИ И ПРОФЕССИОНАЛА В ОБЛАСТИ МАТЕМАТИКИ.
САМОСОВЕРШЕНСТВОВАНИЕ ЛИЧНОСТИ В РЕАЛИЗАЦИИ БИОГРАФИЧЕСКИХ ПРОЕКТОВ.
САМОСТОЯТЕЛЬНАЯ РАБОТА ОБУЧАЮЩИХСЯ КАК ФАКТОР ПРОФЕССИОНАЛЬНОГО РАЗВИТИЯ ЛИЧНОСТИ.
САМОСТОЯТЕЛЬНОСТЬ ЛИЧНОСТИ КАК ФЕНОМЕН И ПОНЯТИЕ В ПСИХОЛОГО-ПЕДАГОГИЧЕСКОЙ ЛИТЕРАТУРЕ.
СВЯЗЬ САМОРЕГУЛЯЦИИ С ЖИЗНЕННЫМИ ЦЕННОСТЯМИ ЛИЧНОСТИ У КУРСАНТОВ ВОЕННЫХ ОБРАЗОВАТЕЛЬНЫХ ОРГАНИЗАЦИЙ ВНГ РФ.
СВЯЗЬ ТИПООБРАЗУЮЩИХ ХАРАКТЕРИСТИК ЖИЗНЕННОЙ ПЕРСПЕКТИВЫ И АНТИКОРРУПЦИОННОЙ УСТОЙЧИВОСТИ ЛИЧНОСТИ.
СВЯЗЬ УСЛОВНО-ФИЗИОЛОГИЧЕСКОГО РИТМА С ИНДИВИДУАЛЬНО-ПСИХОЛОГИЧЕСКИМИ И КОММУНИКАТИВНЫМИ ОСОБЕННОСТЯМИ ЛИЧНОСТИ В УСТОЙЧИВЫХ ОТНОШЕНИЯХ.
СЕМЕЙНОЕ ВОСПИТАНИЕ КАК ФАКТОР ФОРМИРОВАНИЯ НРАВСТВЕННОЙ ОСНОВЫ ЛИЧНОСТИ.
СИНДРОМ ЭМОЦИОНАЛЬНОГО ВЫГОРАНИЯ КАК ВИД ПРОФЕССИОНАЛЬНОЙ ДЕФОРМАЦИИ ЛИЧНОСТИ.
СИНЕРГЕТИЧЕСКИЕ ОСНОВЫ МОДЕЛИРОВАНИЯ КОНЦЕПТОСФЕРЫ ЖЕНСКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ В МЕДИАДИСКУРСЕ.
СИНЕРГЕТИЧЕСКИЙ ПРИНЦИП ПЕДАГОГИКИ В ФОРМИРОВАНИИ ЛИЧНОСТИ ВРАЧА.
СИСТЕМА РАБОТЫ ДОЛЖНОСТНЫХ ЛИЦ ВУЗОВ МИНИСТЕРСТВА ОБОРОНЫ РОССИЙСКОЙ ФЕДЕРАЦИИ ПО ВЫЯВЛЕНИЮ УЧЕТУ И РАЗВИТИЮ ИНДИВИДУАЛЬНОПСИХОЛОГИЧЕСКИХ СВОЙСТВ ЛИЧНОСТИ КУРСАНТА В ПРОЦЕССЕ ОБУЧЕНИЯ.
СИСТЕМА УПРАЖНЕНИЙ ДЛЯ ФОРМИРОВАНИЯ ПОЛИКУЛЬТУРНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ В СОВРЕМЕННОЙ КОМПЕТЕНТНОСТНОЙ ПАРАДИГМЕ ОБУЧЕНИЯ УСТНОЙ ИНОЯЗЫЧНОЙ РЕЧИ (РУССКИЙ ЯЗЫК КАК ИНОСТРАННЫЙ).
СИСТЕМА ХУДОЖЕСТВЕННО-ПРОМЫШЛЕННОГО ОБРАЗОВАНИЯ И ВОСПИТАНИЯ ТВОРЧЕСКОЙ ЛИЧНОСТИ.
СИСТЕМНО-ДЕЯТЕЛЬНОСТНЫЙ ПОДХОД КАК МЕТОДОЛОГИЧЕСКАЯ ОСНОВА ПРОГРАММЫ ВОСПИТАНИЯ И СОЦИАЛИЗАЦИИ УСПЕШНОЙ ЛИЧНОСТИ.
СИСТЕМНЫЙ ВЗГЛЯД НА КОНЦЕПЦИИ ЛИЧНОСТИ.
СИСТЕМНЫЙ ПОДХОД В АНАЛИЗЕ И ДИАГНОСТИКЕ ЭФФЕКТИВНОСТИ УПРАВЛЕНИЯ ПРОФЕССИОНАЛЬНОЙ ОТРАСЛЕВОЙ ИДЕНТИФИКАЦИЕЙ ЛИЧНОСТИ.
СИСТЕМОГЕНЕЗ ПРОФЕССИОНАЛЬНО ВАЖНЫХ КАЧЕСТВ ЛИЧНОСТИ СТУДЕНТОВ-ПСИХОЛОГОВ НА ЭТАПЕ ДОПРОФЕССИОНАЛЬНОГО РАЗВИТИЯ.
СКЛОННОСТЬ К ПРЕДПРИНИМАТЕЛЬСКОЙ ДЕЯТЕЛЬНОСТИ В СТРУКТУРЕ ПРОФЕССИОНАЛЬНЫХ КАЧЕСТВ ЛИЧНОСТИ.
СЛУЖЕНИЕ КАК СОЦИАЛЬНО-ПСИХОЛОГИЧЕСКИЙ ФАКТОР СТАНОВЛЕНИЯ ЛИЧНОСТИ (НА ПРИМЕРЕ КУРСАНТОВ ВОЕННЫХ ВУЗОВ).
СМЫСЛОЖИЗНЕННЫЕ ЗАДАЧИ И СОСТОЯНИЯ В РАЗВИТИИ ЛИЧНОСТИ КАК СУБЪЕКТА ЖИЗНИ.
СОБЫТИЙНАЯ СТРУКТУРА СУБЪЕКТИВНОЙ КАРТИНЫ ЖИЗНЕННОГО ПУТИ ЛИЧНОСТИ.
СОВЕРШЕНСТВОВАНИЕ МЕЖКУЛЬТУРНОЙ КОМПЕТЕНЦИИ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ В ПРОЦЕССЕ ИНОЯЗЫЧНОГО ОБРАЗОВАНИЯ.
СОВРЕМЕННОЕ ВОЛОНТЕРСТВО В ВОСПИТАНИИ ПРОСОЦИАЛЬНОГО ПОВЕДЕНИЯ ЛИЧНОСТИ.
СОВРЕМЕННОЕ ДИЗАЙН-ОБРАЗОВАНИЕ В КОНТЕКСТЕ ГЛОБАЛИЗАЦИИ КУЛЬТУРЫ: ЛИЧНОСТЬ ХУДОЖНИКА В ДИАЛОГЕ ТРАДИЦИЙ И ИННОВАЦИИ.
СОВРЕМЕННОЕ ОБУЧЕНИЕ В ФОРМИРОВАНИИ ЛИЧНОСТИ ШКОЛЬНИКА: ПРОБЛЕМЫ И ПЕРСПЕКТИВЫ.
СОВРЕМЕННЫЕ ПОДХОДЫ К ИЗУЧЕНИЮ УКРАИНСКОГО ЯЗЫКА ОСНОВА РАЗВИТИЯ ИНТЕЛЛЕКТУАЛЬНО-ТВОРЧЕСКОЙ КОММУНИКАТИВНО-ЯЗЫКОВОЙ ЛИЧНОСТИ.
СОВРЕМЕННЫЕ ПОДХОДЫ К ФОРМИРОВАНИЮ ЛИЧНОСТИ В ВУЗЕ.
СОВРЕМЕННЫЕ ТЕХНОЛОГИИ ОЦЕНКИ ПОТЕНЦИАЛА ЛИЧНОСТИ В ЭПОХУ ЦИФРОВИЗАЦИИ.
СОДЕЙСТВИЕ ПРОФЕССИОНАЛЬНОМУ САМООПРЕДЕЛЕНИЮ ЛИЧНОСТИ В УСЛОВИЯХ ДЕЯТЕЛЬНОСТИ ГОСУДАРСТВЕННО-ОБЩЕСТВЕННЫХ ОРГАНИЗАЦИИ.
СОДЕЙСТВИЕ САМООПРЕДЕЛЕНИЮ ЛИЧНОСТИ СРЕДСТВАМИ ШКОЛЬНОГО ОБРАЗОВАНИЯ В БЫСТРО МЕНЯЮЩЕМСЯ МИРЕ.
СОДЕЙСТВИЕ ФОРМИРОВАНИЮ УПРАВЛЕНЧЕСКОЙ КОМПЕТЕНТНОСТИ ЛИЧНОСТИ НА ЭТАПЕ ОБЩЕГО ОБРАЗОВАНИЯ.
СОДЕРЖАНИЕ КОМПОНЕНТОВ ЭТНОКУЛЬТУРНЫХ КАЧЕСТВ ЛИЧНОСТИ БУДУЩИХ УЧИТЕЛЕЙ.
СОДЕРЖАТЕЛЬНАЯ ХАРАКТЕРИСТИКА ПОНЯТИЯ ЭТНОКУЛЬТУРНАЯ ЛИЧНОСТЬ ПРИМЕНИТЕЛЬНО К ПРОФЕССИОНАЛЬНЫМ КАЧЕСТВАМ УЧИТЕЛЯ.
СОДЕРЖАТЕЛЬНЫЙ КОМПОНЕНТ РАЗВИТИЯ МУЗЫКАЛЬНОЙ КУЛЬТУРЫ ЛИЧНОСТИ.
СОЗДАНИЕ КУЛЬТУРНОЙ РЕЧЕВОЙ СРЕДЫ В ОБРАЗОВАТЕЛЬНОМ ПРОСТРАНСТВЕ ШКОЛЫ: ПРОБЛЕМЫ МЕТОДИЧЕСКИЙ ИНСТРУМЕНТАРИЙ ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ.
СОЗДАНИЕ ПСИХОЛОГО-ПЕДАГОГИЧЕСКОГО КОМФОРТА В ОБРАЗОВАТЕЛЬНОМ УЧРЕЖДЕНИИ КАК УСЛОВИЕ ГАРМОНИЧНОГО РАЗВИТИЯ И ВОСПИТАНИЯ ЛИЧНОСТИ ОБУЧАЮЩЕГОСЯ.
СОЗДАНИЕ РОБОТИЗИРОВАННЫХ МЯГКИХ ИГРУШЕК КАК СРЕДСТВО ФОРМИРОВАНИЯ ТВОРЧЕСКОЙ ЛИЧНОСТИ ШКОЛЬНИКА.
СООТНОШЕНИЕ ПРОФЕССИОНАЛЬНОГО САМОСОЗНАНИЯ КУРСАНТОВ С САМООТНОШЕНИЕМ ЛИЧНОСТИ.
СОЦИАЛИЗАЦИЯ И ФОРМИРОВАНИЕ ИДЕНТИЧНОСТИ ЛИЧНОСТИ СИНХРОНИСТОК ВЫСШЕЙ КВАЛИФИКАЦИИ.
СОЦИАЛИЗАЦИЯ КАК ФАКТОР ФОРМИРОВАНИЯ ЛИЧНОСТИ МОЛОДЕЖИ.
СОЦИАЛИЗАЦИЯ ЛИЧНОСТИ В ПРОЦЕССЕ СОЦИОКУЛЬТУРНОЙ ДЕЯТЕЛЬНОСТИ.
СОЦИАЛИЗАЦИЯ ЛИЧНОСТИ ДОШКОЛЬНИКА В ПРОЦЕССЕ ДВИГАТЕЛЬНОЙ АКТИВНОСТИ В УСЛОВИЯХ ДОУ (ИЗ ОПЫТА РАБОТЫ).
СОЦИАЛИЗАЦИЯ ЛИЧНОСТИ СТАРШЕКЛАССНИКОВ В УСЛОВИЯХ СОВРЕМЕННОЙ ШКОЛЫ.
СОЦИАЛЬНАЯ БЕЗОПАСНОСТЬ ЛИЧНОСТИ: ПРОФИЛАКТИКА СОЦИАЛЬНЫХ ОТКЛОНЕНИИ.
СОЦИАЛЬНАЯ ЗРЕЛОСТЬ КАК КАЧЕСТВЕННАЯ ХАРАКТЕРИСТИКА ЛИЧНОСТИ.
СОЦИАЛЬНАЯ КОМПЕТЕНТНОСТЬ ЛИЧНОСТИ: ПЕДАГОГИЧЕСКИЙ АСПЕКТ.
СОЦИАЛЬНАЯ КОМПЕТЕНТНОСТЬ МНОГОДЕТНЫХ РОДИТЕЛЕЙ КАК ФАКТОР ФОРМИРОВАНИЯ СРЕДЫ ДЛЯ РАЗВИТИЯ ЛИЧНОСТИ ДЕТЕЙ.
СОЦИАЛЬНАЯ НАПРАВЛЕННОСТЬ ЛИЧНОСТИ И ЦЕННОСТНЫЕ СТРАТЕГИИ РУКОВОДИТЕЛЕЙ СИСТЕМЫ ГОСУДАРСТВЕННОЙ СЛУЖБЫ.
СОЦИАЛЬНАЯ ПЕДАГОГИКА: ПЕДАГОГИКА СТАНОВЛЕНИЯ И РАЗВИТИЯ ЛИЧНОСТИ.
СОЦИАЛЬНАЯ СРЕДА ЛИЧНОСТИ КУРСАНТА ОБРАЗОВАТЕЛЬНОЙ ОРГАНИЗАЦИИ МВД РОССИИ: ДЕВИАНТНОЕ ПОВЕДЕНИЕ И РИСКИ.
СОЦИАЛЬНО-КУЛЬТУРНЫЕ ФОРМЫ РАЗВИТИЯ УРОВНЕЙ ДОСУГОВЫХ ПОТРЕБНОСТЕЙ ЛИЧНОСТИ В УСЛОВИЯХ ПРАЗДНИЧНОЙ КУЛЬТУРЫ.
СОЦИАЛЬНО ЗНАЧИМЫЕ КАЧЕСТВА ЛИЧНОСТИ УЧАСТНИКОВ ОБЪЕДИНЕНИЯ ВОЛОНТЕРЫ ПОБЕДЫ.
СОЦИАЛЬНО-КУЛЬТУРНЫЕ ПРАКТИКИ В СИСТЕМЕ СРЕДСТВ РАЗВИТИЯ ЛИЧНОСТИ.
СОЦИАЛЬНО-ПЕДАГОГИЧЕСКИЕ ОСНОВАНИЯ РАЗВИТИЯ НРАВСТВЕННОГО СОЗНАНИЯ ЛИЧНОСТИ БЕЗОПАСНОГО ТИПА.
СОЦИАЛЬНО-ПЕДАГОГИЧЕСКИЕ УСЛОВИЯ ФОРМИРОВАНИЯ ЛИЧНОСТИ БЕЗОПАСНОГО ТИПА В СТУДЕНЧЕСКОЙ МОЛОДЁЖИ.
СОЦИАЛЬНО-ПЕДАГОГИЧЕСКИЕ ФУНКЦИИ КОМПЬЮТЕРНОГО СПОРТА КАК ИНСТРУМЕНТА ИНТЕЛЛЕКТУАЛЬНОГО РАЗВИТИЯ ЛИЧНОСТИ.
СОЦИАЛЬНО-ПСИХОЛОГИЧЕСКАЯ ИНТЕРПРЕТАЦИЯ ЛИЧНОСТИ ПРЕПОДАВАТЕЛЯ КАК ФАКТОР ОЦЕНКИ СТУДЕНТАМИ УЧЕБНОЙ ОНЛАЙН-ЛЕКЦИИ.
СОЦИАЛЬНО-ПСИХОЛОГИЧЕСКАЯ КОМПЕТЕНТНОСТЬ КАК ФАКТОР ПСИХОЛОГИЧЕСКОЙ УСТОЙЧИВОСТИ ЛИЧНОСТИ В ПЕРИОД ОБУЧЕНИЯ В ВУЗЕ.
СОЦИАЛЬНО-ПСИХОЛОГИЧЕСКИЕ СПОСОБНОСТИ ЛИЧНОСТИ.
СОЦИАЛЬНО-ПСИХОЛОГИЧЕСКИЙ КЛИМАТ ГРУППЫ КАК УСЛОВИЕ ТВОРЧЕСКОЙ ДЕЯТЕЛЬНОСТИ ЛИЧНОСТИ (ПЕДАГОГИЧЕСКОЕ ИССЛЕДОВАНИЕ).
СОЦИАЛЬНО-ПСИХОЛОГИЧЕСКИЙ ТРЕНИНГ КАК ИНСТРУМЕНТ РАЗВИТИЯ ИННОВАТИВНЫХ КАЧЕСТВ ЛИЧНОСТИ.
СОЦИАЛЬНО-ПСИХОЛОГИЧЕСКИЙ ТРЕНИНГ КАК МЕТОД РАЗВИТИЯ ЛИЧНОСТИ В ЮНОШЕСКОМ ВОЗРАСТЕ.
СОЦИАЛЬНО-ПСИХОЛОГИЧЕСКОЕ РАЗВИТИЕ И ФОРМИРОВАНИЕ ЛИЧНОСТИ У ПОДРОСТКОВ.
СОЦИАЛЬНО-ФИЛОСОФСКИЙ АСПЕКТ ФОРМИРОВАНИЯ ПРОФЕССИОНАЛЬНОГО СОЗНАНИЯ ЛИЧНОСТИ.
СОЦИАЛЬНО-ЭМОЦИОНАЛЬНЫЙ ИНТЕЛЛЕКТ В СТРАТЕГИИ ФОРМИРОВАНИЯ ПРОФЕССИОНАЛЬНЫХ КАЧЕСТВ ЛИЧНОСТИ.
СОЦИАЛЬНОЕ ЗДОРОВЬЕ ЛИЧНОСТИ РЕБЕНКА КАК РЕЗУЛЬТАТ ВОСПИТАТЕЛЬНОЙ ДЕЯТЕЛЬНОСТИ.
СОЦИАЛЬНЫЕ НОРМЫ И ОТКЛОНЕНИЯ КАК КАТЕГОРИИ СОЦИАЛЬНО ЗНАЧИМОГО ПОВЕДЕНИЯ ЛИЧНОСТИ.
СОЦИАЛЬНЫЕ СЕТИ КАК СРЕДОВОЙ ФАКТОР ФОРМИРОВАНИЯ ЛИЧНОСТИ УЧАЩЕГОСЯ В КОНТЕКСТЕ ПРОФИЛАКТИКИ СОЦИАЛЬНО ОПАСНЫХ ЯВЛЕНИИ.
СОЦИАЛЬНЫЙ ОПЫТ ЛИЧНОСТИ КАК СОДЕРЖАНИЕ СОЦИАЛЬНОЙ КОМПЕТЕНТНОСТИ БУДУЩЕГО СПЕЦИАЛИСТА.
СОЦИАЛЬНЫЙ ОПЫТ ЛИЧНОСТИ: МЕЖДИСЦИПЛИНАРНЫЙ КАТЕГОРИАЛЬНЫЙ АНАЛИЗ.
СОЦИОКОММУНИКАТИВНАЯ ХАРАКТЕРИСТИКА ЯЗЫКОВОЙ ЛИЧНОСТИ (НА ПРИМЕРЕ МИКРОБЛОГА ХУДОЖНИКА).
СОЦИОКУЛЬТУРНОЕ РАЗВИТИЕ ЛИЧНОСТИ В ПРОЦЕССЕ ЕЁ ПОДГОТОВКИ К МЕЖКУЛЬТУРНОЙ КОММУНИКАЦИИ.
СОЦИОКУЛЬТУРНЫЕ ПОТРЕБНОСТИ ЛИЧНОСТИ В СТАНОВЛЕНИИ БЕЗОПАСНОГО ПРОСОЦИАЛЬНОГО ПОВЕДЕНИЯ.
СОЦИОКУЛЬТУРНЫЕ ТЕНДЕНЦИИ АКТУАЛИЗИРУЮЩИЕ ПРОБЛЕМУ ПОВЫШЕНИЯ ЭКОЛОГИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ.
СОЦИОКУЛЬТУРНЫЙ ЛАНДШАФТ МОРДОВИИ В ПАРАДИГМЕ ДУХОВНО-НРАВСТВЕННЫХ ЦЕННОСТЕЙ ЛИЧНОСТИ.
СОЦИОКУЛЬТУРНЫЙ ПОТЕНЦИАЛ В СТРУКТУРЕ ЛИЧНОСТИ ПОДРОСТКОВ.
СОЦИОЛОГИЧЕСКАЯ ДИАГНОСТИКА УРОВНЯ СФОРМИРОВАННОСТИ ПРАВОВЫХ И КОММУНИКАТИВНЫХ ЦЕННОСТЕЙ В СОВРЕМЕННОЙ МОЛОДЕЖНОЙ СРЕДЕ КАК ДЕТЕРМИНАНТЫ КОММУНИКАТИВНО-ПРАВОВОЙ КУЛЬТУРЫ ЛИЧНОСТИ.
СОЦИОПАТИЯ И АСОЦИАЛЬНОСТЬ ЛИЧНОСТИ: ВЛИЯНИЕ НА ОБЩЕСТВО В КОНТЕКСТЕ СОВРЕМЕННОГО ВРЕМЕНИ.
СПЕЦИФИКА ВЗАИМОСВЯЗИ РЕФЛЕКСИВНОСТИ И САМОАКТУАЛИЗАЦИИ ЛИЧНОСТИ.
СПЕЦИФИКА ИННОВАЦИОННОГО ПОТЕНЦИАЛА ЛИЧНОСТИ УЧИТЕЛЯ В ПРОЦЕССЕ ПРОФЕССИОНАЛЬНО-ТВОРЧЕСКОЙ ДЕЯТЕЛЬНОСТИ.
СПЕЦИФИКА ЭКЗИСТЕНЦИАЛЬНЫХ КАЧЕСТВ ЛИЧНОСТИ КУРСАНТОВ В ОБРАЗОВАТЕЛЬНОЙ ОРГАНИЗАЦИИ МИНИСТЕРСТВА ВНУТРЕННИХ ДЕЛ РОССИЙСКОЙ ФЕДЕРАЦИИ.
СПОРТ КАК ФАКТОР СОЦИАЛИЗАЦИИ ЛИЧНОСТИ.
СПОРТИВНЫЕ ТРАДИЦИИ В СЕМЬЕ КАК ФАКТОР ФИЗИЧЕСКОГО ВОСПИТАНИЯ ЛИЧНОСТИ.
СПОСОБНОСТИ И РОЛИ ЛИЧНОСТИ В ПРОФЕССИОНАЛЬНОЙ ДЕЯТЕЛЬНОСТИ.
СПОСОБЫ РАЗВИТИЯ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТОВ В ПРОЦЕССЕ ИЗУЧЕНИЯ ИНОСТРАННОГО ЯЗЫКА.
СРАВНИТЕЛЬНЫЙ АНАЛИЗ АКТУАЛИЗАЦИИ ЛИЧНОСТИ АВТОРА В НАРРАТИВЕ И КРИТИЧЕСКОМ ТЕКСТЕ.
СТАНОВЛЕНИЕ ЛИЧНОСТИ БУДУЩЕГО ПЕДАГОГА КАК ГРАЖДАНИНА РОССИИ В ПРОЦЕССЕ ИНОЯЗЫЧНОЙ ПРОФЕССИОНАЛЬНОЙ ПОДГОТОВКИ.
СТАНОВЛЕНИЕ ЛИЧНОСТИ МУЗЫКАНТА В УСЛОВИЯХ ИНФОРМАЦИОННО-ОБРАЗОВАТЕЛЬНОЙ СРЕДЫ (НА ПРИМЕРЕ ВУЗА ИСКУССТВ).
СТАНОВЛЕНИЕ ЛИЧНОСТИ ШКОЛЬНИКА ЧЕРЕЗ ПАТРИОТИЧЕСКОЕ ВОСПИТАНИЕ В УСЛОВИЯХ МНОГОПРОФИЛЬНОЙ ШКОЛЫ (СИТУАТИВНАЯ ИГРА ПОСВЯЩЕННАЯ ДНЮ ПОБЕДЫ).
СТАНОВЛЕНИЕ ПРОФЕССИОНАЛЬНОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ В СТУДЕНЧЕСТВЕ.
СТАНОВЛЕНИЕ РЕФЛЕКСИВНО-ЭМПАТИЙНЫХ СВОЙСТВ ЛИЧНОСТИ СТУДЕНТА-ПСИХОЛОГА КАК ОСНОВАНИЯ ЕГО ПСИХОЛОГИЧЕСКОГО БЛАГОПОЛУЧИЯ НА ЭТАПЕ ДОПРОФЕССИОНАЛЬНОГО РАЗВИТИЯ.
СТАНОВЛЕНИЕ СУБЪЕКТНОСТИ ЛИЧНОСТИ СТУДЕНТА: НА ПУТИ К КУЛЬТУРЕ ДОСТОИНСТВА.
СТАНОВЛЕНИЕ ТВОРЧЕСКОЙ ЛИЧНОСТИ ПРЕПОДАВАТЕЛЯ ИНОСТРАННОГО ЯЗЫКА В СИСТЕМЕ ДОПОЛНИТЕЛЬНОГО ПРОФЕССИОНАЛЬНОГО ОБРАЗОВАНИЯ.
СТИЛИ ДЕЛОВОГО ОБЩЕНИЯ: ПРОСТРАНСТВО ДЕЯТЕЛЬНОСТИ И ПРОФЕССИОНАЛЬНАЯ РЕАЛИЗАЦИЯ ЛИЧНОСТ ЧАСТЬ
СТРАТЕГИИ СОВЛАДЕЮЩЕГО ПОВЕДЕНИЯ ЛИЧНОСТИ В УСЛОВИЯХ ОТВЕТСТВЕННОСТИ И НЕРВНО-ПСИХИЧЕСКИХ НАПРЯЖЕНИИ.
СТРУКТУРА ИНФОРМАЦИОННОГО ПОВЕДЕНИЯ КАК КОМПОНЕНТ ИНФОРМАЦИОННОЙ КУЛЬТУРЫ ЛИЧНОСТИ.
СТРУКТУРА ЛИЧНОСТИ В ПРОЦЕССЕ ПРОФЕССИОНАЛЬНОГО СТАНОВЛЕНИЯ: ТЕОРИЯ И ПСИХОДИАГНОСТИЧЕСКАЯ ПРАКТИКА.
СТРУКТУРНАЯ ОРГАНИЗАЦИЯ ИНТЕЛЛЕКТА И ЛИЧНОСТИ СТАРШИХ ПОДРОСТКОВ С РАЗНЫМ УРОВНЕМ ТОЛЕРАНТНОСТИ.
СТРУКТУРНО-ДИНАМИЧЕСКАЯ МОДЕЛЬ ЖИЗНЕННОГО ЦИКЛА ИСТОРИЧЕСКОЙ ЛИЧНОСТИ-ЧАСТЬ
СТРУКТУРНО-КОМПОНЕНТНЫЙ СОСТАВ ИНФОРМАЦИОННОЙ КУЛЬТУРЫ КУРСАНТОВ КАК ПРОФЕССИОНАЛЬНО ЗНАЧИМОГО КАЧЕСТВА ЛИЧНОСТИ.
СТРУКТУРНЫЕ КОМПОНЕНТЫ ПРОФЕССИОНАЛЬНОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ.
СТУДЕНЧЕСКИЙ НАУЧНЫЙ КРУЖОК КАК ФАКТОР СТАНОВЛЕНИЯ ЛИЧНОСТИ ВРАЧА.
СУБСТАНЦИОНАЛЬНО-ТЕМПОРАЛЬНАЯ СИСТЕМНОСТЬ РОЛЕВОЙ СОЦИАЛИЗАЦИИ ЛИЧНОСТИ.
СУБЪЕКТНАЯ АКТИВНОСТЬ ЛИЧНОСТИ И ИДЕНТИЧНОСТЬ БАСКЕТБОЛИСТОВ КОМАНД РОССИИ И КИТАЯ.
СУБЪЕКТНАЯ ПОЗИЦИЯ СТУДЕНЧЕСКОЙ МОЛОДЕЖИ КАК ФАКТОР ПРОФЕССИОНАЛЬНОГО РАЗВИТИЯ ЛИЧНОСТИ В УЧЕБНО-ОБРАЗОВАТЕЛЬНОМ ПРОЦЕССЕ.
СУБЪЕКТНОСТЬ КАК ИНТЕГРАЛЬНОЕ КАЧЕСТВО ЛИЧНОСТИ СТУДЕНТА.
СУБЪЕКТНЫЕ СВОЙСТВА ЛИЧНОСТИ КАК РЕСУРС КОНКУРЕНТОСПОСОБНОСТИ ШАХМАТИСТА.
СУБЪЕКТНЫЕ СВОЙСТВА ЛИЧНОСТИ КАК РЕСУРС КОНКУРЕНТОСПОСОБНОСТИ ШАХМАТИСТА.
СУЩНОСТНАЯ ХАРАКТЕРИСТИКА ВИДОВ ИНТЕЛЛЕКТА КАК ОСНОВЫ ФОРМИРОВАНИЯ ИННОВАЦИОННОЙ ЛИЧНОСТИ.
СУЩНОСТНАЯ ХАРАКТЕРИСТИКА ТАДЖИКСКИХ НАЦИОНАЛЬНЫХ ЦЕННОСТЕЙ И ИХ МЕСТО В СТРУКТУРЕ ЛИЧНОСТИ БУДУЩЕГО УЧИТЕЛЯ НАЧАЛЬНЫХ КЛАССОВ.
СУЩНОСТНЫЕ ХАРАКТЕРИСТИКИ ПОНЯТИЯ СОЦИАЛЬНАЯ КОМПЕТЕНТНОСТЬ ЛИЧНОСТИ.
СУЩНОСТЬ И ОСОБЕННОСТИ ВОСПИТАНИЯ НАЦИОНАЛЬНОЙ И РЕЛИГИОЗНОЙ ТОЛЕРАНТНОСТИ ФОРМИРУЮЩЕЙСЯ ЛИЧНОСТИ РЕБЕНКА.
СУЩНОСТЬ И СТРУКТУРА СОЦИАЛЬНО-ПЕРЦЕПТИВНОЙ КОМПЕТЕНТНОСТИ ФОРМИРУЮЩЕЙСЯ ЛИЧНОСТИ СОЦИАЛЬНОГО РАБОТНИКА.
СУЩНОСТЬ ТВОРЧЕСКОГО САМОДВИЖЕНИЯ ЛИЧНОСТИ.
ТАКТИКА ПЕДАГОГИЧЕКОЙ ПОДДЕРЖКИ ЛИЧНОСТИ СТУДЕНТА В ПРЕОДОЛЕНИИ СТРЕССОВЫХ СИТУАЦИИ.
ТВОРЧЕСКАЯ ЛИЧНОСТЬ В ПРОФЕССИОНАЛЬНОЙ ДЕЯТЕЛЬНОСТИ.
ТВОРЧЕСКАЯ ЛИЧНОСТЬ В СОВРЕМЕННОМ ОБЩЕСТВЕ.
ТВОРЧЕСКАЯ САМОРЕАЛИЗАЦИЯ ЛИЧНОСТИ ОБУЧАЮЩЕГОСЯ ЧЕРЕЗ ПРОЕКТНУЮ ДЕЯТЕЛЬНОСТЬ.
ТВОРЧЕСКАЯ САМОРЕАЛИЗАЦИЯ ЛИЧНОСТИ СОВРЕМЕННЫХ СТУДЕНТОВ В УСЛОВИЯХ ТРАНСФОРМАЦИИ ЦЕННОСТНО-СМЫСЛОВЫХ УСТАНОВОК МОЛОДЁЖИ.
ТВОРЧЕСКИЕ АСПЕКТЫ ПОДГОТОВКИ ЛИЧНОСТИ БУДУЩИХ УЧИТЕЛЕЙ ФИЗИЧЕСКОГО ВОСПИТАНИЯ ПОСРЕДСТВОМ ЗАНЯТИЙ ПО ФИЗИЧЕСКОМУ ВОСПИТАНИЮ.
ТВОРЧЕСКОЕ РАЗВИТИЕ ЛИЧНОСТИ ПОДРОСТКОВ НА УРОКЕ СОЛЬНОГО ПЕНИЯ.
ТВОРЧЕСКОЕ САМОРАЗВИТИЕ ЛИЧНОСТИ: ЭТНОКУЛЬТУРНЫЙ КОМПОНЕНТ ПЕДАГОГИЧЕСКИЕ УСЛОВИЯ ПРИНЦИПЫ.
ТВОРЧЕСТВО ВЫДАЮЩИХСЯ ПЕДАГОГОВ-МУЗЫКАНТОВ КАК ФАКТОР ДУХОВНОГО СОВЕРШЕНСТВОВАНИЯ И НРАВСТВЕННЫХ ПОИСКОВ ЛИЧНОСТИ.
ТВОРЧЕСТВО И ЦИФРОВЫЕ ТЕХНОЛОГИИ В СТАНОВЛЕНИИ ЛИЧНОСТИ ПЕДАГОГА.
ТВОРЧЕСТВО КАК СПОСОБ СОЗДАНИЯ ПОЛОЖИТЕЛЬНОЙ МОТИВАЦИИ В ОБУЧЕНИИ ШКОЛЬНИКОВ И ЕГО РОЛЬ В ДУХОВНОМ СТАНОВЛЕНИИ ЛИЧНОСТИ.
ТЕЗАУРУСНЫЙ УРОВЕНЬ ЯЗЫКОВОЙ ЛИЧНОСТИ ПУШКИНА ЛЕКСИКОГРАФИЧЕСКАЯ ИНТЕРПРЕТАЦИЯ ИНТЕРТЕКСТУАЛЬНОСТИ И ПРЕЦЕДЕНТНОСТИ.
ТЕМПОРАЛЬНЫЕ ОСНОВЫ РАЗВИТИЯ И ПСИХИЧЕСКОГО ЗДОРОВЬЯ ЛИЧНОСТИ В ЗАРУБЕЖНЫХ КОНЦЕПЦИЯХ.
ТЕОРЕТИЗАЦИЯ КАК ТЕХНОЛОГИЯ И КОНСТРУКТ РАЗВИТИЯ ЛИЧНОСТИ В СИСТЕМЕ НЕПРЕРЫВНОГО ОБРАЗОВАНИЯ.
ТЕОРЕТИЗАЦИЯ ФОРМИРОВАНИЯ КУЛЬТУРЫ САМОСТОЯТЕЛЬНОЙ РАБОТЫ ЛИЧНОСТИ В СИСТЕМЕ НЕПРЕРЫВНОГО ОБРАЗОВАНИЯ.
ТЕОРЕТИКО-МЕТОДОЛОГИЧЕСКИЕ АСПЕКТЫ ПРОБЛЕМЫ ЕДИНИЦ АНАЛИЗА СТРУКТУРЫ ЛИЧНОСТИ ПСИХОЛОГА.
ТЕОРЕТИКО-МЕТОДОЛОГИЧЕСКИЕ ОСНОВЫ ФОРМИРОВАНИЯ ПСИХОЛОГИЧЕСКИ ЗДОРОВОЙ ЛИЧНОСТИ ОБУЧАЮЩЕГОСЯ В СОВРЕМЕННОЙ ШКОЛЕ.
ТЕОРЕТИКО-МЕТОДОЛОГИЧЕСКИЕ ПОДХОДЫ К ОБОСНОВАНИЮ ЛИНГВОКУЛЬТУРНОЙ КОМПЕТЕНТНОСТИ ЛИЧНОСТИ.
ТЕОРЕТИКО-МЕТОДОЛОГИЧЕСКИЕ ПОДХОДЫ К ПОЗНАНИЮ СУЩНОСТИ ЭСТЕТИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ.
ТЕОРЕТИКО-МЕТОДОЛОГИЧЕСКИЙ АНАЛИЗ СУЩНОСТИ СОДЕРЖАНИЯ И ОСОБЕННОСТЕЙ АГРЕССИВНОГО ПОВЕДЕНИЯ ЛИЧНОСТИ.
ТЕОРЕТИКО-МЕТОДОЛОГИЧЕСКОЕ ОБЕСПЕЧЕНИЕ АДАПТИВНО-ПРОДУКТИВНЫХ ВОЗМОЖНОСТЕЙ РАЗВИТИЯ ЛИЧНОСТИ В СИСТЕМЕ НЕПРЕРЫВНОГО ОБРАЗОВАНИЯ.
ТЕОРЕТИЧЕСКИЕ АСПЕКТЫ ВОПРОСА ИЗУЧЕНИЯ ЭМОЦИОНАЛЬНЫХ ХАРАКТЕРИСТИК ЛИЧНОСТИ В УСЛОВИЯХ ВОЕННО-ПРОФЕССИОНАЛЬНОЙ ДЕЯТЕЛЬНОСТИ.
ТЕОРЕТИЧЕСКИЕ АСПЕКТЫ МОДЕЛИРОВАНИЯ СОЦИАЛЬНОГО РАЗВИТИЯ ЛИЧНОСТИ В ОБРАЗОВАТЕЛЬНОЙ СРЕДЕ.
ТЕОРЕТИЧЕСКИЕ АСПЕКТЫ ПРОФЕССИОНАЛЬНОЙ АДАПТАЦИИ ЛИЧНОСТИ ПЕДАГОГА В ПРОФЕССИОНАЛЬНОМ ОБРАЗОВАНИИ.
ТЕОРЕТИЧЕСКИЕ АСПЕКТЫ ПСИХОЛОГО-АКМЕОЛОГИЧЕСКОГО СОПРОВОЖДЕНИЯ РАЗВИТИЯ ЛИЧНОСТИ УПРАВЛЕНЧЕСКОГО ЛИДЕРА В НЕФТЕГАЗОВОЙ ОРГАНИЗАЦИИ.
ТЕОРЕТИЧЕСКИЕ И ПРИКЛАДНЫЕ АСПЕКТЫ ОСВОЕНИЯ ДИСЦИПЛИН СОЦИАЛЬНО-ГУМАНИТАРНОГО БЛОКА ПРИ ФОРМИРОВАНИИ ЛИЧНОСТИ СОТРУДНИКА ПОЛИЦИИСОЦИАЛЬНО-ФИЛОСОФСКИЙ АСПЕКТ.
ТЕОРЕТИЧЕСКИЕ ОСНОВЫ ДУХОВНО-НРАВСТВЕННОГО СТАНОВЛЕНИЯ ЛИЧНОСТИ В ПРОЦЕССЕ ПРОФЕССИОНАЛЬНОЙ ПОДГОТОВКИ БУДУЩЕГО ПЕДАГОГА.
ТЕОРЕТИЧЕСКИЕ ОСНОВЫ ПРОБЛЕМЫ ФОРМИРОВАНИЯ КОММУНИКАТИВНЫХ НАВЫКОВ У ДЕТЕЙ СТАРШЕГО ДОШКОЛЬНОГО ВОЗРАСТ СПЕЦИФИКА КОММУНИКАТИВНОГО РАЗВИТИЯ ЛИЧНОСТИ.
ТЕОРЕТИЧЕСКИЕ ОСНОВЫ СИСТЕМНОГО РАСКРЫТИЯ ВЗАИМОСВЯЗИ ЭМОЦИОНАЛЬНЫХ ОСОБЕННОСТЕЙ И ПРОФЕССИОНАЛЬНОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ.
ТЕОРЕТИЧЕСКИЕ ПОДХОДЫ ФОРМИРОВАНИЯ ЛИЧНОСТИ ШКОЛЬНИКА В ПРОЦЕССЕ ЭСТЕТИЧЕСКОГО ВОСПИТАНИЯ.
ТЕОРЕТИЧЕСКИЕ ПРЕДПОСЫЛКИ ИССЛЕДОВАНИЯ СОЦИАЛЬНО-ПРИРОДНОЙ СРЕДЫ КАК РАЗВИВАЮЩЕГО ФАКТОРА ЛИЧНОСТИ.
ТЕОРЕТИЧЕСКИЙ АНАЛИЗ ПОНЯТИЙ ИНДИВИД ЛИЧНОСТЬ СУБЪЕКТ ИНДИВИДУАЛЬНОСТЬ.
ТЕОРЕТИЧЕСКИЙ АНАЛИЗ ПОНЯТИЯ КОНКУРЕНТОСПОСОБНАЯ ЛИЧНОСТЬ В ПСИХОЛОГО-ПЕДАГОГИЧЕСКИХ ИССЛЕДОВАНИЯХ.
ТЕОРЕТИЧЕСКИЙ ОБЗОР ПОНЯТИЯ САМОРЕАЛИЗАЦИИ КАК ОСНОВЫ ДУХОВНОЙ СОСТАВЛЯЮЩЕЙ ФИЗИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ.
ТЕОРЕТИЧЕСКОЕ ОСМЫСЛЕНИЕ СИТУАЦИЙ ФОРМИРОВАНИЯ ПОЗНАВАТЕЛЬНОЙ СФЕРЫ УЧАЩИХСЯ НАЧАЛЬНОЙ ШКОЛЫ В ИНТЕРЕСАХ РАЗВИТИЯ ИХ КАК ЛИЧНОСТИ.
ТЕОРИЯ И ВОЗМОЖНОСТИ СОЦИАЛИЗАЦИИ И САМОРЕАЛИЗАЦИИ ЛИЧНОСТИ В СИСТЕМЕ НЕПРЕРЫВНОГО ОБРАЗОВАНИЯ И В СПОРТЕ.
ТЕОРИЯБОЖОВИЧ: ЛИЧНОСТЬ ПСИХИКА ИНДИВИДУАЛЬНОСТЬ.
ТЕХНОЛОГИИ РАЗВИТИЯ ЛИЧНОСТИ В КОНЦЕПЦИИ СМЫСЛОДИДАКТИКИ.
ТЕХНОЛОГИЯ РЕАЛИЗАЦИИ РАЗВИТИЯ КОММУНИКАТИВНЫХ СВОЙСТВ ЛИЧНОСТИ В ПРОЦЕССЕ ОБУЧЕНИЯ СТУДЕНТОВ ФИЗИКЕ.
ТЕХНОЛОГИЯ СОЗДАНИЯ АДАПТИВНОЙ ОБРАЗОВАТЕЛЬНОЙ СРЕДЫ СТАНОВЛЕНИЯ ЛИЧНОСТИ.
ТЕХНОЛОГИЯ ФОРМИРОВАНИЯ ФИЗИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ ДЕТЕЙ 7-9-ЛЕТ В УСЛОВИЯХ ДОПОЛНИТЕЛЬНЫХ ФОРМ ФИЗИЧЕСКОГО ВОСПИТАНИЯ СЕЛЬСКОЙ ШКОЛЫ.
ТИПОЛОГИЧЕСКИЙ ПОДХОД В ИССЛЕДОВАНИИ СТРУКТУРЫ ИННОВАЦИОННОГО ПОТЕНЦИАЛА ЛИЧНОСТИ.
ТИПЫ ЯЗЫКОВОЙ ЛИЧНОСТИ В СОВРЕМЕННОМ АНГЛОЯЗЫЧНОМ ПОЛИТИЧЕСКОМ ДИСКУРСЕ.
ТОЛЕРАНТНОЕ ВОСПРИЯТИЕ ЛИЧНОСТЬЮ СОЦИОКУЛЬТУРНЫХ РАЗЛИЧИЙ КАК ФИЛОСОФСКАЯ И ПСИХОЛОГОПЕДАГОГИЧЕСКАЯ ПРОБЛЕМА.
ТОЛЕРАНТНОСТЬ КАК ПРОФЕССИОНАЛЬНО ЗНАЧИМОЕ КАЧЕСТВО ЛИЧНОСТИ.
ТРАНСФОРМАЦИИ ЛИЧНОСТИ СПЕЦИАЛИСТА В СЕТЕВОМ ОБЩЕСТВЕ И ПОТРЕБНОСТИ ВЫСШЕГО ОБРАЗОВАНИЯ.
ТРАНСФОРМАЦИЯ ЛИЧНОСТИ СТУДЕНТОВ ВУЗА В УСЛОВИЯХ ИЗУЧЕНИЯ ИНОСТРАННОГО ЯЗЫКА.
ТРАНСФОРМАЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ В ПОЛИЛИНГВОКУЛЬТУРНОМ СОЦИУМЕ.
ТРЕВОЖНОСТЬ ЛИЧНОСТИ КАК ФАКТОР РАЗВИТИЯ СТРЕССОУСТОЙЧИВОСТИ.
ТРЕНИНГ РАЗВИТИЯ ПСИХОПЛАСТИКИ ЛИЧНОСТИ В ПРОГРАММАХ РАБОТЫ С ТРУДНОВОСПИТУЕМЫМИ ПОДРОСТКАМИ.
ТРУД КАК СОЦИОКУЛЬТУРНЫЙ И ПЕДАГОГИЧЕСКИЙ ФЕНОМЕН В ТРАДИЦИОННОМ РУССКОМ МИРЕ: МЕХАНИЗМЫ И ФАКТОРЫ ФОРМИРОВАНИЯ ЭТНОКУЛЬТУРНОЙ ИДЕНТИЧНОСТИ ЛИЧНОСТИ.
ТРУДНАЯ ЖИЗНЕННАЯ СИТУАЦИЯ КАК ФАКТОР СОЦИАЛИЗАЦИИ ЛИЧНОСТИ: ПОДХОДЫ КЛАССИФИКАЦИИ ПРИЧИНЫ ВОЗНИКНОВЕНИЯ.
ТРУДОВОЕ ВОСПИТАНИЕ ДЕТЕЙ С ИНТЕЛЛЕКТУАЛЬНЫМИ НАРУШЕНИЯМИ КАК СРЕДСТВО ФОРМИРОВАНИЯ НРАВСТВЕННЫХ КАЧЕСТВ ЛИЧНОСТИ.
УДОСТОВЕРЕНИЯ ЛИЧНОСТИ В РОССИИ.
УМЕНИЕ ПРЕОДОЛЕВАТЬ ТРУДНОСТИ КАК ПОКАЗАТЕЛЬ ГОТОВНОСТИ ЛИЧНОСТИ К САМОРАЗВИТИЮ.
УПОДОБЛЕНИЕ КАК УНИВЕРСАЛЬНЫЙ ПРИНЦИП ВЗАИМОДЕЙСТВИЯ МУЗЫКАЛЬНОГО ИСКУССТВА И ЛИЧНОСТИ.
УПРАВЛЕНИЕ КУЛЬТУРНЫМ РАЗВИТИЕМ ЛИЧНОСТИ В СОДЕРЖАНИИ УЧЕБНИКА ДЛЯ РУКОВОДИТЕЛЕЙ СФЕРЫ ОБРАЗОВАНИЯ.
УПРАВЛЕНИЕ ПРОФЕССИОНАЛЬНОЙ ОРИЕНТАЦИЕЙ ЛИЧНОСТИ НА РАННИХ ЭТАПАХ ОБУЧЕНИЯ И РАЗВИТИЯ.
УПРАВЛЕНИЕ ПРОФЕССИОНАЛЬНЫМ РАЗВИТИЕМ ЛИЧНОСТИ И ПРОФЕССИОНАЛЬНОЕ САМООПРЕДЕЛЕНИЕ.
УПРАВЛЕНИЕ САМОСТОЯТЕЛЬНОЙ РАБОТОЙ СТУДЕНТОВ ПРИ ОБУЧЕНИИ ХИМИИ КАК СПОСОБ САМООРГАНИЗАЦИИ ЛИЧНОСТИ.
УПРАЖНЕНИЕ КАК МЕТОД ПЕДАГОГИЧЕСКОГО ВОЗДЕЙСТВИЯ НА ЛИЧНОСТЬ.
УРОВЕНЬ СПОРТИВНОЙ КВАЛИФИКАЦИЙ И МОРАЛЬНАЯ НОРМАТИВНОСТЬ ЛИЧНОСТИ.
УРОВЕНЬ СПОРТИВНОЙ КВАЛИФИКАЦИЙ И МОРАЛЬНО-ЭТИЧЕСКАЯ ОТВЕТСТВЕННОСТЬ ЛИЧНОСТИ.
УРОВНИ РИСКОВ ПСИХОЛОГО-ПЕДАГОГИЧЕСКОЙ БЕЗОПАСНОСТИ ОБРАЗОВАТЕЛЬНОЙ СРЕДЫ И ЛИЧНОСТИ ОБУЧАЮЩЕГОСЯ.
УРОК МУЗЫКИ КАК УРОК ИСКУССТВА И ЗНАЧИМЫЙ ЭЛЕМЕНТ РАЗВИТИЯ ЛИЧНОСТИ ШКОЛЬНИКА.
УСЛОВИЯ ВОСПИТАНИЯ СОЦИАЛЬНОСТИ КАК НРАВСТВЕННОГО КАЧЕСТВА ЛИЧНОСТИ УЧАЩИХСЯ ОБЩЕОБРАЗОВАТЕЛЬНОЙ ШКОЛЫ.
УСЛОВИЯ РАЗВИТИЯ КРЕАТИВНОСТИ В ЛИЧНОСТИ ПЕДАГОГА.
УСЛОВИЯ ФОРМИРОВАНИЯ ЦЕННОСТНЫХ ОРИЕНТАЦИЙ ФИЗИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ У СТУДЕНТОВ.
УЧЁТ ОСОБЕННОСТЕЙ РАЗВИТИЯ ХУДОЖЕСТВЕННОГО МЫШЛЕНИЯ ЛИЧНОСТИ В ОБУЧЕНИИ ПЕДАГОГОВ-ХОРЕОГРАФОВ.
УЧЕТ ТЕОРЕТИКО-МЕТОДОЛОГИЧЕСКИХ ПОДХОДОВ В ОПРЕДЕЛЕНИИ СТРУКТУРЫ ЛИЧНОСТИ БУДУЩИХ СПЕЦИАЛИСТОВ ГАЗОДЫМОЗАЩИТНОЙ СЛУЖБЫ.
УЧЕТ ТИПОЛОГИЧЕСКИХ ОСОБЕННОСТЕЙ ЛИЧНОСТИ ПРИ РЕАЛИЗАЦИИ ДИФФЕРЕНЦИРОВАННОГО ПОДХОДА В ОБУЧЕНИИ ИНОСТРАННОМУ ЯЗЫКУ СТУДЕНТОВ ЯЗЫКОВЫХ ФАКУЛЬТЕТОВ.
ФАКТОРЫ ВОСПИТАНИЯ МОРАЛЬНО-ВОЛЕВЫХ КАЧЕСТВ ЛИЧНОСТИ ЮНЫХ СПОРТСМЕНОВ.
ФАКТОРЫ РАЗВИТИЯ ГОТОВНОСТИ ЛИЧНОСТИ К САМООБУЧЕНИЮ ПОСРЕДСТВОМ ЕЕ МЕДИАОБРАЗОВАНИЯ НА ЭТАПЕ ВУЗОВСКОЙ ПОДГОТОВКИ.
ФАКТОРЫ РИСКА ПСИХОЛОГИЧЕСКОЙ БЕЗОПАСНОСТИ ЛИЧНОСТИ В ПОДРОСТКОВОМ И ЮНОШЕСКОМ ВОЗРАСТАХ.
ФАКТОРЫ ФОРМИРОВАНИЯ ЭМОЦИОНАЛЬНОЙ УСТОЙЧИВОСТИ ЛИЧНОСТИ.
ФАКТОРЫ-СТИМУЛЫ РАЗВИТИЯ ЛИЧНОСТИ СТУДЕНТА В ПРОЦЕССЕ РЕАЛИЗАЦИИ ЛИЧНОСТНО-ОРИЕНТИРОВАННОГО ПОДХОДА В ОБУЧЕНИИ.
ФАКТОРЫ ОБУСЛАВЛИВАЮЩИЕ ФОРМИРОВАНИЕ КУЛЬТУРЫ ЗДОРОВЬЯ ЛИЧНОСТИ.
ФЕНОМЕН ЭМОЦИОНАЛЬНОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ В ТЕОРИИ ДОДОНОВА.
ФЕНОМЕН ЭСТЕТИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ В СОВРЕМЕННЫХ ПЕДАГОГИЧЕСКИХ ИССЛЕДОВАНИЯХ.
ФЕНОМЕНОЛОГИЯ СОЦИАЛЬНО АКТИВНОЙ ЛИЧНОСТИ И ПРЕДСТАВЛЕНИЕ О НЕЙ СТУДЕНЧЕСКОЙ МОЛОДЕЖИ.
ФИЗИЧЕСКАЯ КУЛЬТУРА КАК НЕОТЪЕМЛЕМЫЙ КОМПОНЕНТ ВСЕСТОРОННЕГО РАЗВИТИЯ ЛИЧНОСТИ.
ФИЗИЧЕСКАЯ КУЛЬТУРА КАК УНИВЕРСАЛЬНОЕ СРЕДСТВО РАЗВИТИЯ ЛИЧНОСТИ.
ФИЗИЧЕСКАЯ КУЛЬТУРА КАК ФАКТОР РАЗВИТИЯ ЛИЧНОСТИ А ТАКЖЕ ПРЕДПОСЫЛКИ ЕЁ ОСМЫСЛЕНИЯ.
ФИЗИЧЕСКАЯ КУЛЬТУРА КАК ФАКТОР ФОРМИРОВАНИЯ ЗДОРОВОГО ОБРАЗА ЖИЗНИ ЛИЧНОСТИ.
ФИЗИЧЕСКОЕ ВОСПИТАНИЕ В СИСТЕМЕ ВСЕСТОРОННЕГО РАЗВИТИЯ ЛИЧНОСТИ.
ФИЗИЧЕСКОЕ ВОСПИТАНИЕ В СИСТЕМЕ ВСЕСТОРОННЕГО РАЗВИТИЯ ЛИЧНОСТИ.
ФИЗИЧЕСКОЕ ВОСПИТАНИЕ КАК ИНСТРУМЕНТ РАЗВИТИЯ ДУХОВНОЙ КУЛЬТУРЫ ЛИЧНОСТИ И ЛИЧНОСТНЫХ КАЧЕСТВ СТУДЕНТОВ.
ФИЗИЧЕСКОЕ ВОСПИТАНИЕ КАК ФАКТОР НАПРАВЛЕННОГО ВОСПИТАНИЯ ЛИЧНОСТИ.
ФИЗИЧЕСКОЕ ВОСПИТАНИЕ КАК ФАКТОР РАЗВИТИЯ ЛИЧНОСТИ И ФОРМИРОВАНИЯ ЗДОРОВОГО ОБРАЗА ЖИЗНИ.
ФИЗИЧЕСКОЕ И УМСТВЕННОЕ ВОСПИТАНИЕ ЧЕЛОВЕКА ДЛЯ ГАРМОНИЧНОГО РАЗВИТИЯ ЛИЧНОСТИ.
ФЛУКТУАЦИИ МОТИВАЦИИ ДОСТИЖЕНИЯ ЛИЧНОСТИ КАК СИСТЕМНЫЙ ФЕНОМЕН.
ФОРМАЛЬНО-ДИНАМИЧЕСКИЕ СВОЙСТВА В СТРУКТУРЕ ЛИЧНОСТИ СТУДЕНТОВ-ПЕРВОКУРСНИКОВ МЕДИЦИНСКОГО УНИВЕРСИТЕТА.
ФОРМИРОВАНИЕ ВОЕННО-ПРОФЕССИОНАЛЬНОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ ВОСПИТАННИКОВ ОБЩЕОБРАЗОВАТЕЛЬНЫХ И ПРОФЕССИОНАЛЬНЫХ ОБРАЗОВАТЕЛЬНЫХ ОРГАНИЗАЦИЙ СО СПЕЦИАЛЬНЫМ НАИМЕНОВАНИЕМ.
ФОРМИРОВАНИЕ ВОЕННО-ПРОФЕССИОНАЛЬНОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ КУРСАНТОВ НА ОСНОВЕ РАЗВИТИЯ ТВОРЧЕСКОЙ ДЕЯТЕЛЬНОСТИ.
ФОРМИРОВАНИЕ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ В ПРОЦЕССЕ ИЗУЧЕНИЯ РУССКОГО ЯЗЫКА КАК ИНОСТРАННОГО (НА ПРИМЕРЕ РАБОТЫ С БЕЗЭКВИВАЛЕНТНОЙ ЛЕКСИКОЙ).
ФОРМИРОВАНИЕ ГАРМОНИЧНО РАЗВИТОЙ ЛИЧНОСТИ СОВРЕМЕННОГО ШКОЛЬНИКА В СОЦИОКУЛЬТУРНОЙ СРЕДЕ.
ФОРМИРОВАНИЕ ГОТОВНОСТИ К КОНТРОЛЬНО-ОЦЕНОЧНОЙ ДЕЯТЕЛЬНОСТИ И РАЗВИТИЕ ЛИЧНОСТИ СТУДЕНТА.
ФОРМИРОВАНИЕ ГРАЖДАНСКИХ КАЧЕСТВ ЛИЧНОСТИ УЧАЩИХСЯ В УСЛОВИЯХ СОВРЕМЕННОГО ОБЩЕСТВА.
ФОРМИРОВАНИЕ ГРАЖДАНСКО-ПАТРИОТИЧЕСКИХ КАЧЕСТВ ЛИЧНОСТИ СТУДЕНТА СПО В ПРОЦЕССЕ ИЗУЧЕНИЯ ДИСЦИПЛИНЫ ИСТОРИЯ.
ФОРМИРОВАНИЕ ГРАЖДАНСКОЙ АКТИВНОСТИ И СОЦИАЛИЗАЦИИ ЛИЧНОСТИ ЧЕРЕЗ СИСТЕМУ МЕДИАОБРАЗОВАНИЯ.
ФОРМИРОВАНИЕ ДУХОВНО-НРАВСТВЕННОЙ ЛИЧНОСТИ В ПРОЦЕССЕ ФИЗИЧЕСКОГО ВОСПИТАНИЯ ВО ВНЕУРОЧНОЙ ДЕЯТЕЛЬНОСТИ.
ФОРМИРОВАНИЕ ДУХОВНО-НРАВСТВЕННОЙ ЛИЧНОСТИ ПОДРОСТКА В УСЛОВИЯХ ДОПОЛНИТЕЛЬНОГО ОБРАЗОВАНИЯ.
ФОРМИРОВАНИЕ ДУХОВНО-НРАВСТВЕННЫХ УСТАНОВОК ЛИЧНОСТИ СТУДЕНТА.
ФОРМИРОВАНИЕ И РАЗВИТИЕ ДУХОВНО-НРАВСТВЕННОЙ КУЛЬТУРЫ ЛИЧНОСТИ БУДУЩЕГО ПЕДАГОГА.
ФОРМИРОВАНИЕ И РАЗВИТИЕ ДУХОВНО-НРАВСТВЕННОЙ КУЛЬТУРЫ ЛИЧНОСТИ БУДУЩЕГО ПЕДАГОГА.
ФОРМИРОВАНИЕ И РАЗВИТИЕ ЛИЧНОСТИ ПРОФЕССИОНАЛА И ЭФФЕКТИВНОЙ МОТИВАЦИИ К ПРОФЕССИИ В УСЛОВИЯХ ОБРАЗОВАТЕЛЬНОЙ ОРГАНИЗАЦИИ: НА МАТЕРИАЛАХ СОЦИОЛОГИЧЕСКОГО ИССЛЕДОВАНИЯ.
ФОРМИРОВАНИЕ ИНИЦИАТИВЫ И САМОСТОЯТЕЛЬНОСТИ КАК СПОСОБ РАЗВИТИЯ ЛИЧНОСТИ РЕБЕНКА НА ЭТАПЕ ДОШКОЛЬНОГО ДЕТСТВА.
ФОРМИРОВАНИЕ ИННОВАЦИОННОГО МЫШЛЕНИЯ ЛИЧНОСТИ В УСЛОВИЯХ ОБРАЗОВАТЕЛЬНОЙ СРЕДЫ ВУЗА.
ФОРМИРОВАНИЕ ИННОВАЦИОННОЙ ПРОФЕССИОНАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТОВ ЮРИДИЧЕСКОГО ФАКУЛЬТЕТА НА ОСНОВЕ СИНЕРГЕТИЧЕСКОГО ПОДХОДА.
ФОРМИРОВАНИЕ ИНФОРМАЦИОННО-ПРАВОВОЙ КОМПЕТЕНЦИИ ЛИЧНОСТИ: СОЦИАЛЬНО-КУЛЬТУРНЫЙ АСПЕКТ.
ФОРМИРОВАНИЕ ИНФРАСТРУКТУРЫ ПО ВЫЯВЛЕНИЮ КРЕАТИВНОГО ПОТЕНЦИАЛА ЛИЧНОСТИ В ОТРАСЛИ ОБРАЗОВАТЕЛЬНЫХ УСЛУГ.
ФОРМИРОВАНИЕ КАЧЕСТВ ЛИЧНОСТИ ЧЕЛОВЕКА КУЛЬТУРЫ У МЛАДШИХ ШКОЛЬНИКОВ В ИНКЛЮЗИВНОМ ПРОСТРАНСТВЕ ОБЩЕОБРАЗОВАТЕЛЬНОГО УЧРЕЖДЕНИЯ.
ФОРМИРОВАНИЕ КОНКУРЕНТОСПОСОБНОЙ ЛИЧНОСТИ В ИСТОРИКО-ФИЛОСОФСКОЙ И ПСИХОЛОГО-ПЕДАГОГИЧЕСКОЙ ЛИТЕРАТУРЕ.
ФОРМИРОВАНИЕ КОНКУРЕНТОСПОСОБНОЙ ЛИЧНОСТИ ПУТЕМ ПРОВЕДЕНИЯ ИНТЕРНАЛЬНИХ ФОРУМОВ В УЧЕБНЫХ ЗАВЕДЕНИЯХ.
ФОРМИРОВАНИЕ КОНКУРЕНТОСПОСОБНОЙ ЛИЧНОСТИ СРЕДСТВАМИ ФИЗИЧЕСКОЙ КУЛЬТУРЫ.
ФОРМИРОВАНИЕ КОНСТРУКТИВНОЙ ПСИХОЛОГИЧЕСКОЙ ЗАЩИТЫ ЛИЧНОСТИ.
ФОРМИРОВАНИЕ КУЛЬТУРНО-ЭСТЕТИЧЕСКОГО ВОСПРИЯТИЯ ЛИЧНОСТИ СРЕДСТВАМИ ТЕАТРАЛЬНОГО ИСКУССТВА.
ФОРМИРОВАНИЕ КУЛЬТУРЫ БЕЗОПАСНОСТИ ЛИЧНОСТИ БУДУЩЕГО ПЕДАГОГА В ВУЗЕ НА ОСНОВЕ ЭРГОНОМИЧЕСКОГО ПОДХОДА.
ФОРМИРОВАНИЕ ЛИЧНОСТИ БЕЗОПАСНОГО ТИПА ПОВЕДЕНИЯ У ШКОЛЬНИКОВ КАК ОДНО ИЗ УСЛОВИЙ КОМФОРТНОСТИ ОБРАЗОВАТЕЛЬНОЙ СРЕДЫ.
ФОРМИРОВАНИЕ ЛИЧНОСТИ БЕЗОПАСНОГО ТИПА ПОДРОСТКА СРЕДСТВАМИ ФИЗИЧЕСКОЙ КУЛЬТУРЫ И СПОРТА В УСЛОВИЯХ ЦЕНТРА ДЕСАНТНИК.
ФОРМИРОВАНИЕ ЛИЧНОСТИ РЕБЕНКА В КОНТЕКСТЕ МОРАЛЬНО-ЭТИЧЕСКИХ ПРЕДСТАВЛЕНИИ.
ФОРМИРОВАНИЕ ЛИЧНОСТИ СТУДЕНТА В СИНЕРГЕТИЧЕСКОЙ МОДЕЛИ СТУДЕНЧЕСКОГО САМОУПРАВЛЕНИЯ ВУЗА.
ФОРМИРОВАНИЕ ЛИЧНОСТИ УЧАЩЕГОСЯ В ПРОЦЕССЕ ОБУЧЕНИЯ ИНОСТРАННЫМ ЯЗЫКАМ.
ФОРМИРОВАНИЕ МОРАЛЬНЫХ КАЧЕСТВ ЛИЧНОСТИ ПОДРОСТКА.
ФОРМИРОВАНИЕ НАВЫКОВ ИНОЯЗЫЧНОГО ИНФОРМАТИВНОГО ЧТЕНИЯ ПРОФЕССИОНАЛЬНЫХ И МОРАЛЬНЫХ КАЧЕСТВ ЛИЧНОСТИ СТУДЕНТОВ В КОНТЕКСТЕ ЭМОЦИОНАЛЬНО-СМЫСЛОВОГО ПОДХОДА.
ФОРМИРОВАНИЕ НРАВСТВЕННО-ПАТРИОТИЧЕСКОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ КУРСАНТОВ ОБРАЗОВАТЕЛЬНЫХ ОРГАНИЗАЦИЙ МВД РОССИИ В ПРОЦЕССЕ ВОСПИТАТЕЛЬНОЙ ДЕЯТЕЛЬНОСТИ ПЕДАГОГА-КУРАТОРА.
ФОРМИРОВАНИЕ НРАВСТВЕННЫХ КАЧЕСТВ ЛИЧНОСТИ В КОНТЕКСТЕ СОВЕРШЕНСТВОВАНИЯ МЕЖЭТНИЧЕСКИХ ОТНОШЕНИИ.
ФОРМИРОВАНИЕ НРАВСТВЕННЫХ ЦЕННОСТЕЙ ЛИЧНОСТИ РЕБЕНКА НА ОСНОВЕ ЗАНЯТИЙ НАРОДНОЙ ХОРЕОГРАФИЕИ.
ФОРМИРОВАНИЕ ОСНОВ ДУХОВНОЙ ЛИЧНОСТИ НА ЭТНОКУЛЬТУРНЫХ ЦЕННОСТЯХ РОДНОГО КРАЯ.
ФОРМИРОВАНИЕ ПОЗНАВАТЕЛЬНЫХ УЧЕБНЫХ ДЕЙСТВИЙ КАК ЗАЛОГ УСПЕШНОГО РАЗВИТИЯ ЛИЧНОСТИ ОБУЧАЮЩЕГОСЯ (НА ПРИМЕРЕ ОБУЧЕНИЯ НЕМЕЦКОМУ ЯЗЫКУ КАК ВТОРОМУ ИНОСТРАННОМУ).
ФОРМИРОВАНИЕ ПОЛИЯЗЫКОВОЙ ЛИЧНОСТИ В ПОЛИЛИНГВАЛЬНОМ ПРОСТРАНСТВЕ.
ФОРМИРОВАНИЕ ПОНЯТИЯ ПРОФЕССИОНАЛЬНОЕ МИРОВОЗЗРЕНИЕ ЛИЧНОСТИ КАК ТЕОРЕТИЧЕСКАЯ ПРОБЛЕМА: ГЕНЕЗИС И СОВРЕМЕННОЕ СОСТОЯНИЕ.
ФОРМИРОВАНИЕ ПРОФЕССИОНАЛЬНО-ПЕДАГОГИЧЕСКОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ БУДУЩЕГО УЧИТЕЛЯ ФИЗИЧЕСКОЙ КУЛЬТУРЫ В ПРОЦЕССЕ ПРАКТИЧЕСКОЙ ДЕЯТЕЛЬНОСТИ.
ФОРМИРОВАНИЕ ПРОФЕССИОНАЛЬНОГО САМООПРЕДЕЛЕНИЯ ЛИЧНОСТИ СТУДЕНТОВ.
ФОРМИРОВАНИЕ ПРОФЕССИОНАЛЬНОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ СТУДЕНТА В УЧЕБНО-ТВОРЧЕСКОМ ПРОЦЕССЕ ВУЗА КУЛЬТУРЫ.
ФОРМИРОВАНИЕ СЕРДЕЧНОГО НАЧАЛА ЛИЧНОСТИ КАК ОСНОВА НРАВСТВЕННОГО ВОСПИТАНИЯ ШКОЛЬНИКА.
ФОРМИРОВАНИЕ СОВРЕМЕННОГО СПЕЦИАЛИСТА И ЛИЧНОСТИ В ЦЕЛОМ ЧЕРЕЗ ТЕХНОЛОГИИ ИННОВАЦИОННОГО ОБУЧЕНИЯ.
ФОРМИРОВАНИЕ СОДЕРЖАНИЯ КУРСА ИНФОРМАТИКИ В КОНТЕКСТЕ ОБЕСПЕЧЕНИЯ ИНФОРМАЦИОННОЙ БЕЗОПАСНОСТИ ЛИЧНОСТИ.
ФОРМИРОВАНИЕ СОЦИАЛЬНО-СУБЪЕКТНОЙ ПОЗИЦИИ ЛИЧНОСТИ В СИСТЕМЕ ПЕДАГОГИЧЕСКОГО СОПРОВОЖДЕНИЯ ОБЩЕСТВЕННОГО ОБЪЕДИНЕНИЯ.
ФОРМИРОВАНИЕ СОЦИАЛЬНОЙ КОМПЕТЕНТНОСТИ КАК ОДНОЙ ИЗ ХАРАКТЕРИСТИК ЛИЧНОСТИ ВЫПУСКНИКОВ ПОКОЛЕНИЯ Z-ЦЕНТЕНИАЛОВ С ОГРАНИЧЕННЫМИ ВОЗМОЖНОСТЯМИ ЗДОРОВЬЯ СРЕДСТВАМИ ИНТЕРНЕТ-ПРОСТРАНСТВА.
ФОРМИРОВАНИЕ СУБЪЕКТНОЙ ПОЗИЦИИ ЛИЧНОСТИ.
ФОРМИРОВАНИЕ ТВОРЧЕСКОЙ ЛИЧНОСТИ ПОДРОСТКОВ В САМОДЕЯТЕЛЬНОМ ХОРЕОГРАФИЧЕСКОМ КОЛЛЕКТИВЕ ПО ИТОГАМ ОПЫТНО-ЭКСПЕРИМЕНТАЛЬНОЙ РАБОТЫ.
ФОРМИРОВАНИЕ ТРЕЗВОГО ЗДОРОВОГО ОБРАЗА ЖИЗНИ И ЦЕЛОСТНОГО РАЗВИТИЯ ЛИЧНОСТИ СТУДЕНТОВ.
ФОРМИРОВАНИЕ У БУДУЩИХ УЧИТЕЛЕЙ ТОЛЕРАНТНОСТИ КАК КАЧЕСТВА ЛИЧНОСТИ.
ФОРМИРОВАНИЕ УСТОЙЧИВОСТИ ЛИЧНОСТИ К ДЕСТРУКТИВНОМУ ИНФОРМАЦИОННОМУ ВОЗДЕЙСТВИЮ В ПРОЦЕССЕ ЕЕ ПРОФЕССИОНАЛИЗАЦИИ В СРЕДНЕМ ПРОФЕССИОНАЛЬНО-ОРИЕНТИРОВАННОМ ОБРАЗОВАТЕЛЬНОМ УЧРЕЖДЕНИИ: ПОСТАНОВКА И СОСТОЯНИЕ РАЗРАБОТАННОСТИ ПРОБЛЕМЫ.
ФОРМИРОВАНИЕ ФИЗИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ И ЗДОРОВОГО ОБРАЗА ЖИЗНИ СТУДЕНТА.
ФОРМИРОВАНИЕ ФИЗИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ СТУДЕНТОВ.
ФОРМИРОВАНИЕ ФИЗИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ СТУДЕНТОВ С ИСПОЛЬЗОВАНИЕМ ОЗДОРОВИТЕЛЬНЫХ ТЕХНОЛОГИИ.
ФОРМИРОВАНИЕ ЦЕННОСТНО-СМЫСЛОВОЙ СФЕРЫ РАЗВИВАЮЩЕЙСЯ ЛИЧНОСТИ.
ФОРМИРОВАНИЕ ЭКОЛОГИЧЕСКОЙ КУЛЬТУРЫ ЛИЧНОСТИ В СИСТЕМЕ ОБРАЗОВАНИЯ.
ФОРМИРОВАНИЕ ЭЛИТАРНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ ЛИНГВИСТА-ПЕРЕВОДЧИКА В ПРОЦЕССЕ ОБУЧЕНИЯ ПИСЬМЕННОМУ ПЕРЕВОДУ.
ФОРМИРОВАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ ЗАРУБЕЖНОГО СТУДЕНТА В ТЕХНИЧЕСКОМ ВУЗЕ НА ЗАНЯТИЯХ ПО РУССКОМУ ЯЗЫКУ КАК ИНОСТРАННОМУ НА ОСНОВЕ ЯЗЫКА-ПОСРЕДНИКА.
ФОРМИРОВАНИЯ ПСИХИЧЕСКИХ КАЧЕСТВ ЛИЧНОСТИ МЛАДШЕГО ШКОЛЬНИКА В ПРОЦЕССЕ ФИЗИЧЕСКОГО ВОСПИТАНИЯ.
ФУНКЦИОНАЛЬНАЯ ГРАМОТНОСТЬ КАК ОСНОВА РАЗВИТИЯ ГАРМОНИЧНОЙ ЛИЧНОСТИ В СОВРЕМЕННЫХ УСЛОВИЯХ.
ХАРАКТЕРИСТИКА ОСОБЕННОСТЕЙ ЛИЧНОСТИ СТУДЕНТОВ-МЕДИКОВ РЕСПУБЛИКИ САХА (ЯКУТИИ) НА ЭТАПЕ ПРОФЕССИОНАЛЬНОГО СТАНОВЛЕНИЯ.
ХАРАКТЕРИСТИКА ЭТАПОВ ДЕСОЦИАЛИЗАЦИИ ЛИЧНОСТИ В ПОЖИЛОМ ВОЗРАСТЕ.
ХАРАКТЕРИСТИКИ ИДЕНТИЧНОСТИ ЛИЧНОСТИ СТУДЕНТОВ.
ХАРАКТЕРИСТИКИ ИНФОРМАЦИОННОГО ОБРАЗОВАНИЯ ЛИЧНОСТИ И ИХ ВЗАИМОСВЯЗЬ.
ХАРАКТЕРИСТИКИ ИСТОРИЧЕСКИХ ЛИЧНОСТЕЙ В СОВРЕМЕННЫХ УЧЕБНИКАХ ИСТОРИИ.
ХАРАКТЕРНЫЕ ЧЕРТЫ КОНКУРЕНТОСПОСОБНОЙ ЛИЧНОСТИ.
ХУДОЖЕСТВЕННО-ТВОРЧЕСКОЕ РАЗВИТИЕ ЛИЧНОСТИ МУЗЫКАНТА В КОНТЕКСТЕ ТРИАДЫ КОМПОЗИТОР-ИСПОЛНИТЕЛЬ-СЛУШАТЕЛЬ.
ЦЕННОСТИ ЛИЧНОСТИ КАК ФАКТОР СПЛОЧЕННОСТИ ВОИНСКОГО КОЛЛЕКТИВА.
ЦЕННОСТНО-ДЕЯТЕЛЬНОСТНЫЙ ПОТЕНЦИАЛ СТРАТЕГИИ РАЗВИТИЯ ЛИЧНОСТИ СОВРЕМЕННЫХ ФОРМАТОВ НЕФОРМАЛЬНОГО ОБРАЗОВАНИЯ МОЛОДЕЖИ.
ЦЕННОСТНО-ОРИЕНТИРОВАННЫЙ ПОДХОД К ЛИЧНОСТИ ПЕДАГОГА.
ЦЕННОСТНО-СМЫСЛОВАЯ НАПРАВЛЕННОСТЬ ЛИЧНОСТИ ОБУЧАЮЩИХСЯ КАК ФАКТОР РАЗВИТИЯ ИХ ЛИЧНОСТНОГО ПОТЕНЦИАЛА.
ЦЕННОСТНО-СМЫСЛОВОЙ КОМПОНЕНТ В СТРУКТУРЕ КОНКУРЕНТОСПОСОБНОСТИ ЛИЧНОСТИ СТУДЕНТА.
ЦЕННОСТНОЕ САМООПРЕДЕЛЕНИЕ ЛИЧНОСТИ КАК ФЕНОМЕН ОБРАЗОВАТЕЛЬНОЙ ПРАКТИКИ.
ЦЕННОСТНЫЕ ОРИЕНТАЦИИ В КОНТЕКСТЕ ЖИЗНЕННОГО ПУТИ ЛИЧНОСТИ В ПЕРИОДЫ РАННЕЙ И СРЕДНЕЙ ВЗРОСЛОСТИ.
ЦЕННОСТНЫЕ ОРИЕНТАЦИИ И ПРОФЕССИОНАЛЬНЫЙ ПУТЬ ЛИЧНОСТИ.
ЦЕННОСТНЫЕ ОРИЕНТАЦИИ КАК ФАКТОР ФОРМИРОВАНИЯ БАЗОВОЙ КУЛЬТУРЫ ЛИЧНОСТИ.
ЦЕННОСТНЫЕ ОРИЕНТАЦИИ ЛИЧНОСТИ КАК МОТИВАЦИЯ ПРИ ВЫБОРЕ ПРОФЕССИИ ВРАЧА-СТОМАТОЛОГА.
ЦЕННОСТНЫЕ ОРИЕНТАЦИИ ЛИЧНОСТИ КАК ФАКТОР УДОВЛЕТВОРЕННОСТИ РАЗЛИЧНЫМИ АСПЕКТАМИ ОБУЧЕНИЯ.
ЦИФРОВЫЕ КОМПЕТЕНЦИИ В СТРУКТУРЕ КОМПЕТЕНТНОСТНОГО ПОДХОДА СОЦИАЛЬНОГО И ПРОФЕССИОНАЛЬНОГО СТАНОВЛЕНИЯ ЛИЧНОСТИ.
ЧЕЛОВЕЧЕСКАЯ ЛИЧНОСТЬ В ЦИФРОВУЮ ЭПОХ ГЛОБАЛЬНЫЕ ВЫЗОВЫ XXI ВЕКА К ЧЕЛОВЕКУ ОБЩЕСТВУ ОБРАЗОВАНИЮ.
ЧТЕНИЕ КНИГ КАК ОСНОВА СТАНОВЛЕНИЯ ЛИЧНОСТИ СТУДЕНТА АГРАРНОГО ВУЗА.
ЧУВСТВЕННЫЙ ОПЫТ В СТРУКТУРЕ ЛИЧНОСТИ СУБЪЕКТА ОБРАЗОВАНИЯ КАК ОСНОВА ОБУЧЕНИЯ И ВОСПИТАНИЯ.
ШАРЛЬ ДЕ ГОЛЛЬ-ОСНОВАТЕЛЬ V РЕСПУБЛИКИ ЛЕГЕНДАРНАЯ ЛИЧНОСТЬ И ПРИМЕР ДЛЯ ПОДРАЖАНИЯ.
ШКОЛА КАК ФАКТОР ГУМАНИЗАЦИИ ОБЩЕСТВЕННО-ЭКОНОМИЧЕСКИХ ОТНОШЕНИЙ ФОРМИРОВАНИЯ НОВЫХ ЖИЗНЕННЫХ УСТАНОВОК ЛИЧНОСТИ.
ШКОЛЬНЫЙ ТЕАТР-ОБРАЗОВАТЕЛЬНАЯ СРЕДА ДУХОВНО-НРАВСТВЕННОГО ВОСПИТАНИЯ ЛИЧНОСТИ.
ЭГОИЗМ ЛИЧНОСТИ КАК ФАКТОР ДЕВИАНТНОГО ПОВЕДЕНИЯ.
ЭКЗИСТЕНЦИАЛЬНАЯ ФИЛОСОФИЯ КАК МЕТОДОЛОГИЧЕСКАЯ ОСНОВА ОСМЫСЛЕНИЯ СОСТОЯНИЯ ПОДАВЛЕНИЯ ПЕДАГОГИЧЕСКИХ УСЛОВИЙ СТАНОВЛЕНИЯ ЭКЗИСТЕНЦИАЛЬНОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ СТУДЕНТА ВУЗА.
ЭКО-АРТ-ТЕРАПИЯ КАК ФАКТОР ВЛИЯНИЯ НА ФОРМИРОВАНИЕ ЛИЧНОСТИ МЛАДШИХ ШКОЛЬНИКОВ.
ЭКОЛОГИЧЕСКАЯ КУЛЬТУРА В СТРУКТУРЕ ЛИЧНОСТИ УЧИТЕЛЯ. ЭКОЛОГИЧЕСКАЯ КУЛЬТУРА ЛИЧНОСТИ УЧАЩИХСЯ КАК ИСТОЧНИК ТРЕБОВАНИЙ К ЭКОЛОГИЧЕСКОЙ КУЛЬТУРЕ УЧИТЕЛЯ.
ЭКОЛОГИЧЕСКАЯ КУЛЬТУРА КАК АСПЕКТ СОЦИАЛИЗАЦИИ ЛИЧНОСТИ.
ЭКОЛОГИЧЕСКАЯ КУЛЬТУРА ЛИЧНОСТИ : СИСТЕМНО-ДЕЯТЕЛЬНОСТНЫЙ ПОДХОД.
ЭКОЛОГИЧЕСКАЯ ОТВЕТСТВЕННОСТЬ ЛИЧНОСТИ В СИСТЕМЕ СОВРЕМЕННЫХ ОБРАЗОВАТЕЛЬНЫХ РЕЗУЛЬТАТОВ.
ЭКОЛОГИЧЕСКОЕ МИРОВОЗЗРЕНИЕ КАК ОСНОВА ФОРМИРОВАНИЯ ПРЕДМЕТНО-ПРОСТРАНСТВЕННОЙ СРЕДЫ ЛИЧНОСТИ.
ЭКОЛОГИЧЕСКОЕ РАЗВИТИЕ ЛИЧНОСТИ В ПОЛИКУЛЬТУРНОМ ОБЩЕСТВЕ : МЕТОДОЛОГИЧЕСКОЕ ОСНОВАНИЕ.
ЭКОЛОГИЧЕСКОЕ РАЗВИТИЕ ЛИЧНОСТИ В ЦИФРОВОМ ОБРАЗОВАНИИ : ПСИХОЛОГО ДИДАКТИЧЕСКИЕ ПРЕДПОСЫЛКИ ПРОЕКТИРОВАНИЯ.
ЭКОНОМИЧЕСКАЯ СОЦИАЛИЗАЦИЯ ЛИЧНОСТИ: ОПРЕДЕЛЕНИЕ И СОДЕРЖАНИЕ ПОНЯТИЯ.
ЭМОЦИИ КАК СИСТЕМА РЕГУЛИРОВАНИЯ ПОВЕДЕНИЯ ЛИЧНОСТИ.
ЭМОЦИОНАЛЬНАЯ УСТОЙЧИВОСТЬ ЛИЧНОСТИ КАК ПСИХОФИЗИОЛОГИЧЕСКАЯ ПРЕДПОСЫЛКА ПРОДУКТИВНОГО ОБЩЕНИЯ.
ЭМОЦИОНАЛЬНОЕ ВЫГОРАНИЕ КАК ФАКТОР КОНФЛИКТНОСТИ ЛИЧНОСТИ ПЕДАГОГА.
ЭМОЦИОНАЛЬНЫЕ ОСОБЕННОСТИ ПРОФЕССИОНАЛЬНОЙ НАПРАВЛЕННОСТИ ЛИЧНОСТИ СТУДЕНТОВ ВУЗОВ.
ЭМОЦИОНАЛЬНЫЙ АСПЕКТ ЛИЧНОСТИ ПЕДАГОГОВ В СИТУАЦИЯХ ЗАТРУДНЕНИЯ КАК ФАКТОР РАЗВИТИЯ ПЕДАГОГИЧЕСКОЙ ДЕЯТЕЛЬНОСТИ.
ЭМОЦИОНАЛЬНЫЙ ИНТЕЛЛЕКТ И ОСОБЕННОСТИ САМОАКТУАЛИЗАЦИИ ЛИЧНОСТИ.
ЭПОС КАК ФАКТОР ФОРМИРОВАНИЯ ЭТНИЧЕСКОЙ ИДЕНТИЧНОСТИ ЛИЧНОСТИ (НА ПРИМЕРЕ РЕСПУБЛИКИ МОРДОВИЯ).
ЭСТЕТИЧЕСКАЯ КУЛЬТУРА И СИСТЕМА ЭСТЕТИЧЕСКОГО ВОСПИТАНИЯ ЛИЧНОСТИ.
ЭСТЕТИЧЕСКАЯ КУЛЬТУРА ЛИЧНОСТИ И ЕЕ РОЛЬ В ПРОФЕССИОНАЛЬНОЙ ПОДГОТОВКЕ БАКАЛАВРОВ СОЦИАЛЬНО-КУЛЬТУРНОЙ ДЕЯТЕЛЬНОСТИ.
ЭСТЕТИЧЕСКАЯ КУЛЬТУРА ЛИЧНОСТИ: СУЩНОСТЬ ФУНКЦИИ.
ЭТИЧЕСКИЙ КОМПОНЕНТ В ФОРМИРОВАНИИ ЛИЧНОСТИ ВРАЧА.
ЭТНИЧЕСКАЯ ТОЛЕРАНТНОСТЬ В СФЕРЕ ФОРМИРОВАНИЯ ЦЕННОСТНЫХ ОРИЕНТАЦИЙ ЛИЧНОСТИ.
ЭТНОКУЛЬТУРНАЯ ХАРАКТЕРИСТИКА ЯЗЫКОВОЙ ЛИЧНОСТИ СКВОЗЬ ПРИЗМУ ФРАЗЕОЛОГИЧЕСКИХ ЕДИНИЦ РУССКОЯЗЫЧНОЙ И АНГЛОЯЗЫЧНОЙ КУЛЬТУР.
ЭТНОКУЛЬТУРНОЕ ОБРАЗОВАНИЕ КАК РЕСУРС ГАРМОНИЗАЦИИ ЭТНИЧЕСКОГО И ГРАЖДАНСКОГО КОМПОНЕНТА В СТРУКТУРЕ ИДЕНТИЧНОСТИ ЛИЧНОСТИ.
ЭФФЕКТИВНОСТЬ ПЕДАГОГИЧЕСКИХ УСЛОВИЙ СТАНОВЛЕНИЯ ЭКЗИСТЕНЦИАЛЬНО ЗНАЧИМЫХ КАЧЕСТВ ЛИЧНОСТИ КУРСАНТОВ ОБРАЗОВАТЕЛЬНЫХ ОРГАНИЗАЦИЙ МВД РОССИИ В ПРОЦЕССЕ ИНТЕРАКТИВНОГО ОБУЧЕНИЯ.
ЯЗЫКОВАЯ ЛИЧНОСТЬ БИЛИНГВА ПРИ ФОРМИРОВАНИИ ГОТОВНОСТИ К МЕЖКУЛЬТУРНОМУ ОБЩЕНИЮ В ПРОЦЕССЕ ОБУЧЕНИЯ ИНОСТРАННОМУ ЗЫКУ В НЕЯЗЫКОВОМ ВУЗЕ.
ЯЗЫКОВАЯ ЛИЧНОСТЬ В АСПЕКТЕ ТЕОРИИ КОГНИТИВНЫХ СТИЛЕЙ.
ЯЗЫКОВАЯ ЛИЧНОСТЬ ПОЖАРНОГО: КОММУНИКАЦИЯ В УСЛОВИЯХ ЧРЕЗВЫЧАЙНЫХ СИТУАЦИИ.
ЯЗЫКОВАЯ ЛИЧНОСТЬ РУССКОГО ПОЭТА-ЭМИГРАНТА В ОБУЧЕНИИ ЧТЕНИЮ НА ЗАНЯТИЯХ ПО РУССКОМУ ЯЗЫКУ КАК ИНОСТРАННОМУ.
IQDO-СИСТЕМА ГАРМОНИЧНОГО РАЗВИТИЯ ЛИЧНОСТИ ЧЕРЕЗ СИМБИОЗ ФИЗИЧЕСКОЙ И ИНТЕЛЛЕКТУАЛЬНОЙ ПОДГОТОВКИ.
[[Термины]]
| [[Об]] | [[Од]] | [[Оз]] | [[Ок]] | [[Ом]] | [[Он]] | [[Оп]] | [[Ор]] | [[Ос]] | [[От]] | [[Оф]] | [[Оц]] | [[Ош]] | [[Ощ]] |
Е. В. Богданова
О некоторых аспектах изучения термина идиолект в отечественной и западной лингвистике. [ext[ссылка|https://cyberleninka.ru/article/n/o-nekotoryh-aspektah-izucheniya-termina-idiolekt-v-otechestvennoy-i-zapadnoy-lingvistike]]
О ТЕРМИНЕ «ЯЗЫКОВАЯ ЛИЧНОСТЬ»: ИСТОКИ, ПРОБЛЕМЫ, ПЕРСПЕКТИВЫ ИСПОЛЬЗОВАНИЯ
[ext[ссылка|https://cyberleninka.ru/article/n/o-termine-yazykovaya-lichnost-istoki-problemy-perspektivy-ispolzovaniya]]
2010 Филология №4(12)
УДК 811/161/1(075)
Е.В. Иванцова
О ТЕРМИНЕ «ЯЗЫКОВАЯ ЛИЧНОСТЬ»: ИСТОКИ, ПРОБЛЕМЫ, ПЕРСПЕКТИВЫ ИСПОЛЬЗОВАНИЯ
Статья посвящена одному из центральных терминов антропоцентрической лингвистики. Автор рассматривает трактовку данного термина в работах основателей теории языковой личности, анализирует различные варианты его понимания в трудах их последователей, намечая перспективы использования актуального терминообозначения.
Ключевые слова: языковая личность, определение.
Одним из центральных в современной лингвистике является феномен языковой личности (далее также «ЯЛ»), приобретающий в науке категориальный статус. С 90-х гг. ХХ в. понятие «языковая личность» «... становится стержневым системообразующим филологическим понятием. Большинством исследователей в настоящее время оно оценивается как интегративное, послужившее началом нового этапа в развитии языкознания - антрополингвистики» [1. С. 15]. Хотя в отдельных работах встречается его негативная оценка1, использование данного термина в целом ряде областей научного поиска - лингводидактике и психолингвистике, стилистике художественной речи и лингвокультурологии, коммуникативной лингвистике и лингвоперсонологии - свидетельство чрезвычайной востребованности обращения к «человеческому фактору» в языке, маркирование антропологического ракурса исследований. Широкая употребительность нового терминообозначения связывается учеными с его синтезирующим характером, отражающим междисциплинарность современных исследований человека, интеграцию гуманитарных наук, а внутри лингвистики - интеграцию различных ее областей при изучении рассматриваемого явления.
Термин «языковая личность» только начинает находить отражение в лингвистических справочниках, и в научных исследованиях отсутствует его единая трактовка.
Если обратиться к истокам употребления этого словосочетания, то почти одновременно оно появляется в 30-е гг. ХХ в. в работах Й.Л. Вайсгербера и
В.В. Виноградова.
1 В.Л. Краев считает сочетание «языковая личность» терминологически неудачным, соответствующим стадии «общей неопределенности» исследовательского процесса [2. С. 110]. Отрицательно оценивает его и В. А. Чудинов: «С одной стороны, термин избыточен (типа «масляного масла»), поскольку «безъязыковой личности» не бывает. Личность может стать личностью только в процессе социализации, а без овладения национальным языком это невозможно. Иными словами, с точки зрения логики, понятие языка уже включено в понятие личности. С другой стороны, нарушена соотнесенность личности с соответствующей языковой структурой, которая для личности оказывается не языком в полном его объеме, а лишь речью - индивидуальной, возрастной, территориальной, принадлежащей определенному социальному слою» [3].
В книге «Родной язык и формирование духа» (1927) Й.Л. Вайсгербер пишет: «...язык представляет собой наиболее всеобщее культурное достояние. Никто не владеет языком лишь благодаря своей собственной языковой личности; наоборот, это языковое владение вырастает в нем на основе принадлежности к языковому сообществу.» [4. С. 81]. В отечественной науке упоминание о ЯЛ впервые встречается в работе В.В. Виноградова «О художественной прозе» (1930). Рассматривая изучение проблемы индивидуального в языке, ученый указал, что Бодуэна де Куртенэ «.интересовала языковая личность как вместилище социально-языковых форм и норм коллектива, как фокус смещения и смешения разных социально-языковых категорий» [5.
С. 61]. Описывая пути выделенной Ф. де Соссюром лингвистики de la parole, автор говорит о том, что при изучении словесного творчества личности «... социальное ищется в личностном через раскрытие всех структурных оболочек языковой личности» [5. С. 91]. Несколько раз включая в текст работы словосочетание «языковая личность» (кстати, там же и таким же образом употребляются «поэтическая личность» и «литературная личность»),
В.В. Виноградов, однако, не раскрывает его.
Нетрудно заметить, что в обеих работах впервые введенное в научный оборот словоупотребление еще не носит строго терминологического характера; ни один из ученых не дает толкования нового понятия.
Осмысление феномена, обозначенного словами «языковая личность», происходит только спустя полвека. Лишь в наши дни это наименование приобретает статус термина. Начиная с 80-х гг. ХХ в. появляется целый ряд его определений.
В 1980 г. Г.И. Богин в книге «Современная лингводидактика» дал первое из них. «Центральным понятием лингводидактики, - писал он, - является языковая личность - человек, рассматриваемый с точки зрения его готовности производить речевые поступки. <...> Языковая личность - тот, кто присваивает язык, то есть тот, для кого язык есть речь. Языковая личность характеризуется не столько тем, что она знает о языке, сколько тем, что она может с языком делать» [6. С. 3]. В этой же работе, рассматривая признаки идеальной ЯЛ, он подчеркивает, что «человек обладает родовой способностью быть языковой личностью, но каждый индивид еще должен стать ею» [Там же]. В докторской диссертации раннее толкование им было дополнено. ЯЛ определяется там как «человек, рассматриваемый с точки зрения его готовности производить речевые поступки, создавать и принимать произведения речи» [7. С. 1].
Немного позднее в книге «Русский язык и языковая личность» (1987) появилось определение Ю.Н. Караулова, трактующего ЯЛ как «.совокупность (и результат реализации) способностей к созданию и восприятию речевых произведений (текстов), различающихся а) степенью структурно-языковой сложности, б) глубиной и точностью отражения действительности и в) определенной целевой направленностью» [8. С. 245]. В этой же монографии автор дает и принципиально другое толкование: «. языковая личность есть личность, выраженная в языке (текстах) и через язык, есть личность, реконструированная в основных своих чертах на базе языковых средств» [8. С. 38]. Оба они с несколько измененными формулировками вошли в энциклопедию
«Русский язык» под ред. Ю.Н. Караулова. ЯЛ в первом значении определена как «наименование комплексного способа описания языковой способности индивида, соединяющего системное представление языка с функциональным анализом текстов», во втором - как «.любой носитель того или иного языка, охарактеризованный на основе анализа произведенных им текстов с точки зрения использования в этих тестах системных средств данного языка для отражения видения им окружающей действительности (картины мира) и для достижения определенных целей в этом мире» [9. С. 671].
В определениях основателей теории ЯЛ отражены ключевые элементы, на базе которых создано большинство более поздних дефиниций их последователей. Они связаны с обозначением 1) родового компонента, 2) уровня обобщенности объекта исследования, 3) главной области анализа данного феномена, в представлении авторов.
1. Как можно видеть, в приведенных выше дефинициях в качестве родового понятия используются наиболее общее понятие «человек» (у Г.И. Богина), «совокупность речевых способностей» и, наконец, «личность» (оба - у Ю. Н. Караулова). Отсутствие антропологического родового компонента во втором из определений вызвало его корректировку: вслед за ним появился целый ряд вариантных толкований, дополняющих базовое элементами «субъект», «личность», «человек», «индивид», «носитель языка» и т.п.2 К недостаткам этого толкования можно отнести и совмещение объекта и предмета исследования.
Предлагаются также дефиниции, в которых сущность ЯЛ определена через понятие системы или совокупности свойств человека. В них либо акцентируются собственно языковые составляющие рассматриваемого феномена3, либо учитываются и внеязыковые компоненты, характеризующие личность4.
2 Ср.: «Языковой личностью считается субъект, способный осуществлять речевую деятельность, оперируя смысловыми образованиями» (И.Э. Клюканов) [10. С. 73]; «Личность, владеющую совокупностью дискурсных способностей. а именно ориентировки и планирования речевых и неречевых действий, формулирования плана действия в речевой форме, контроля и корректировки (по мере необходимости) речевых действий, можно назвать языковой личностью» (А.А. Пушкин) [11. С. 52]; «Под языковой личностью понимается индивид, способный создавать закодированные обозначения внешнего мира, служащие моделью понятийной действительности и закрепленные кодификацией языкового коллектива» (О.А. Еремеева) [12. С. 434]; «.языковая личность рассматривается. как носитель языковой способности определенного качества, данного ей изначально и далее развивающегося в соответствии с заложенным в ней потенциалом» (Н.Д. Голев) [13. С. 10] и др.
3 «Языковая личность - это многомерная, многоуровневая функциональная система, дающая представление о степени владения языком и речью индивидом на уровне активного и творческого осмысления действительности» (Е.В. Барсукова) [14. С. 5]; «это устойчивая система логиколингвистических форм, структурирующих внутреннюю и внешнюю активность индивида» (М.В. Бороденко) [15. С. 212].
4 ЯЛ «.может определяться и как динамическая система, характеризующаяся особым соотношением различных. параметров: духовного, душевного, интуитивного, рационального, сознательного, бессознательного, узуального, творческого, потенциального, репрезентативного и др. Языковая личность выступает также и как функциональная система.» (А.Р. Ерошенко) [16. С. 20]; «Языковая личность представляет собой совокупность социально-психологических и культурологических свойств человека, определяющих ее способность к творческой текстовой деятельности и отображению специфической национально-языковой картины мира, конструктивное взаимодействие с окружающей средой, открытость для восприятия и адаптации в иной ментально-языковой среде с целью приобщения к иноязычной культуре и определения своего места в спектре различных культур» (С.Ю. Годунова) [17. С. 10].
На наш взгляд, из всех вариантов родового компонента определения ЯЛ предпочтительным является «личность», поскольку новое лингвистическое терминообозначение не только производно от термина, который имеет давнюю традицию в психологии, философии и социологии5, но и позволяет в максимально краткой и емкой форме обозначить сущность междисциплинарного объекта исследования: это личность (во всей совокупности ее качеств, выявленных смежными дисциплинами), отраженная в языке.
2. Что касается уровня обобщения при выборе объекта, обозначаемого термином «языковая личность», то и в исходных определениях, и в последующей практике антропологических исследований он весьма широко варьируется.
Изначально лингводидактическая трактовка ЯЛ, предложенная Г.И. Богиным, подразумевала изучение некой научной фикции в абстрагировании не только от индивидуальных различий людей, но и от различий языков.
Во многом противопоставленным ему представляется второе определение Ю.Н. Караулова, ориентированное на изучение конкретного говорящего. Вместе с тем получившая наиболее широкую известность дефиниция, в которой ЯЛ толкуется этим же ученым через языковую способность индивида, не содержит уточнений относительно рассматриваемого параметра. Как самим автором, так и его последователями она используется и при обращении к так называемым «условным ЯЛ» (персонажам художественного текста), и при изучении национальных или социальных языковых типов (русская, советская, женская. языковая личность, языковая личность сельского жителя, государственного служащего, старшеклассника, обывателя.), и, наконец, при анализе речи реальных индивидов. Развитие лингводидактики в сторону ее сближения с лингвоперсонологией также привело к тому, что при обучении языку начали приниматься в расчет не только общие закономерности овладения человеком языковой системой, но и национально-культурная специфика родного и/или иностранного языка, цели обучения (в том числе свя-
5 Личность в общественных науках определяется как особое качество человека, приобретаемое им в социокультурной среде в процессе совместной деятельности и общения [18. С. 174], и как субъект, наделенный этим качеством, - социализированный индивид [19. С. 24-25], общественная сущность человека, синтез биологических и социальных, врожденных и приобретенных свойств [20. С. 38]. И.П. Сусов отмечает в данном понятии тесную взаимосвязь разнородных начал. С одной стороны, личность -продукт общественного развития, она производна от среды, формируется в ней, воспитана эпохой, ее общественным сознанием, психологией, культурой. С другой стороны, личность - активный субъект познавательной и трудовой деятельности, руководствующийся собственными интересами и мотивами, хотя в них преломляются общественные стимулы деятельности. Итак, в личности «.диалектически взаимосвязаны социальное и индивидуальное, общее и особенное, природное и усвоенное, воспроизводимое и творимое заново, объективное и субъективное» [21. С. 10].
Содержание понятия «личность» выявляется на фоне смежных с ним явлений. В.П. Тимофеев писал о том, что в ряду «человек / личность / индивид» его составляющие противопоставляются как общее, единичное и особенное, при этом центральным из них является «личность» [10. С. 24-25]. В современном человекознании парадигма «индивид - личность - индивидуальность» рассматривается как проявление биогенетического (темперамент, возраст, пол.), социогенетического (социальные роли, установки и ценностные ориентации) и персогенетического (самосознание и творчество, мотивы, смысл жизни) направлений [18. С. 175]. Анализируя представления носителей русского языка об этих понятиях, Р. И. Розина определяет противопоставление «человек - личность» как статичное и динамичное (человеком являются по рождению, личностью становятся), отмечая в человеке сочетание физического, духовного и социального, а в личности - духовного и социального [22].
i
Не можете найти то, что вам нужно? Попробуйте сервис подбора литературы.
занные с освоением той или иной профессии), психофизические особенности групп обучаемых, а также их индивидуальные различия6.
В соответствии с выделенными Ю. Н. Карауловым уровнями абстракции при исследовании ЯЛ7 различные степени обобщения объекта анализа соотносятся с самостоятельными значениями исходного термина: «ЯЗЫКОВАЯ ЛИЧНОСТЬ - носитель того или иного языка, охарактеризованный на основе анализа произведенных им текстов: а) как индивидуум и автор этих текстов со своим характером, интересами, социальными и психологическими предпочтениями и установками; б) как типовой представитель данной языковой общности и более узкого входящего в нее речевого коллектива, совокупный или усредненный носитель данного языка; в) как представитель вида homo sapiens (человек разумный), неотъемлемым свойством которого является использование знаковых систем и прежде всего естественного языка» [24.
С. 104]. При недифференцированном восприятии объекта анализа языковая личность «понимается как индивид или как коллектив, пользующийся языком как базовым каналом коммуникации» [25. С. 126].
Таким образом, представление о ЯЛ связывается не только с реальным носителем языка, но и с некой моделируемой сущностью, научной абстрак-цией8. Истоки таких взглядов можно найти в работе Н.С. Трубецкого «К проблеме русского самопознания» (1927), где философское понятие личности рассматривается в единстве и противоположности двух его сторон - «частночеловеческой» и «многочеловеческой» (частнонародной и многонародной), «симфонической» личности [27].
Противопоставление двух форм существования исследуемого феномена признается авторами многих современных работ. Широко распространены термины «коллективная ЯЛ» (некое сообщество людей, говорящих на данном языке) и «индивидуальная ЯЛ» (отдельный представитель этого сообщества). В.П. Нерознак вслед за Н.С. Трубецким обозначает язык народа и конкретного его представителя как «многочеловеческую (полилектную)» и «частночеловеческую (идиолектную)» ЯЛ [28. С. 113]. И.И. Сентенберг говорит о совокупной ЯЛ - обобщенном образе носителя данного языка и индивидуальной ЯЛ - конкретном носителе данного языка как двух сторонах одной медали, не существующих друг без друга. Отмечается, что совокупная ЯЛ вариативна в территориальном, профессиональном, культурном, половом и т. п. отношении; в связи с этим возможно изучение ЯЛ школьника, дошкольника, студенческой и рабочей молодежи, основного и уходящего поколений и т.д. [29. С. 15]. А. А. Ворожбитова предлагает использовать термин «коллектив-
6 См., например, работы кемеровских лингвистов под руководством Н.Д. Голева и О.Б. Лебедевой [13, 23 и др.].
7 Им выделены три уровня абстракции при исследовании ЯЛ: а) личность как индивидуум и автор текстов, обладающий «своим характером, интересами, социальными предпочтениями и установками»; б) личность - совокупный или усредненный носитель языка, типовой представитель данной языковой общности и более узкого входящего в него коллектива; в) личность как представитель человеческого рода вообще [9. С. 671].
8 Е.В. Ширина, например, рассматривает понятие «языковая личность» как категорию обобщенную, отвлеченную от конкретного исполнителя. Она считает, что «языковая личность - это не паспортизация конкретного лица, а модель совокупной речевой деятельности группы лиц» [26. С. 276], конкретные же характеристики индивида соотносит с понятием «языкового портрета».
ная ЯЛ» или «совокупная ЯЛ» применительно к этносу в целом, а при описании социальных групп ввести термин «групповая ЯЛ» [30. С. 139]. О.Н. Шевченко противопоставляет типовую и индивидуальную ЯЛ. «Типовая языковая личность характеризуется такими свойствами, как абстрактность, эталонность, собирательность, безличность»; в каждом конкретном случае типовая модель реализуется в виде индивидуальной ЯЛ. Индивидуальная ЯЛ совпадает с типовой в базовых характеристиках, но в то же время имеет свои особенности [31. С. 7].
Закономерное стремление к выявлению обобщающих свойств исследуемых феноменов свойственно любой науке. Однако, несмотря на распространенность, закрепление за термином «языковая личность» значений «типовой представитель языкового сообщества» и «человек говорящий вообще» представляется нежелательным не только в связи с неудобством использования в научной практике многозначных терминов, но и прежде всего вследствие изначального противопоставления исходных понятий «личность» и «коллектив». Попытки устранить полисемию при помощи терминообозначения «коллективная ЯЛ» (с его синонимическими аналогами «совокупная», «полилект-ная», «многочеловеческая» и т.п.) не решают проблему внутренней противоречивости, алогичности номинации обозначаемого явления. Представляется, что такая терминологическая ситуация возникает в связи с вычленением в традиционных объектах лингвистического анализа (язык как средство общения людей в целом, язык нации или ее социолингвистических групп) антропологического аспекта исследования. Чрезмерно расширительное употребление термина «языковая личность» отчасти и дань «научной моде», которая так же, как и мода в быту, отражает преломление важных общественных потребностей в массовом сознании. На наш взгляд, перспективы использования термина «языковая личность» связаны с обозначением конкретного носителя языка, с тем определением Ю.Н. Караулова, которое пока осталось почти не замеченным в лингвистике. Близки к нему дефиниции Д.Н. Мурзина9 и Е.В. Иванцовой10. В прочих случаях точнее было бы говорить о ТИПАХ языковых личностей.
Возможно, терминообозначение «коллективная (и под.) ЯЛ» впоследствии выйдет из активного употребления; тогда термин «индивидуальная (идиолектная, частночеловеческая, конкретная.) ЯЛ» утратит тавтологичные поясняющие определения и закрепится в лингвоперсонологии в качестве центрального.
3. Вариативность определений ЯЛ обусловлена также различными представлениями о предмете (аспектах) изучения данного феномена. В одних дефинициях эта область толкования совпадает с формулировкой объекта исследования, в других выделена в самостоятельную часть содержательной характеристики рассматриваемого понятия.
Анализ определений ЯЛ с этой точки зрения наглядно демонстрирует процессы интеграции и дифференциации отдельных областей науки о языке в
9«Языковая личность есть индивид, представленный через посредство своего речевого воплощения» [32. С. 11].
10«Личность в совокупности социальных и индивидуальных черт, отраженная в созданных ею текстах» [33. С. 10].
период становления ее антропоцентрической парадигмы. Различные трактовки аспектов изучения ЯЛ явно соотносятся с выделившимися в последние десятилетия из традиционной лингвистики новыми областями.
К работам Г.И. Богина восходят определения лингводидактического типа, центральное место в которых занимают речевые (языковые) способности человека и их реализация.
Интерес лингвокультурологии к «человеческому фактору в языке» вызвал трактовку ЯЛ как «. закрепленного преимущественно в лексической системе базового национально-культурного прототипа носителя определенного естественного языка.» (С.Г. Воркачев) [34. С. 17]. Таким образом, в задачи изучения «этносемантической» (коллективной!) ЯЛ входит выявление особенностей национальной культуры и менталитета того или иного языкового сообщества. Близко к такому пониманию (но, может быть, с некоторым смещением акцентов также в сферу когнитивной и коммуникативной лингвистики) определение В.И. Карасика: «Языковая личность - обобщенный образ носителя культурно-языковых и коммуникативно-деятельностных ценностей, знаний, установок и поведенческих реакций» [35. С. 363]. Синтез задач этих наук и социолингвистики видится в определении «модельной» ЯЛ — «типичного представителя определенной этносоциальной группы, узнаваемого по специфическим характеристикам вербального и невербального поведения и выводимой ценностной ориентации» [36. С. 99].
Коммуникативная лингвистика породила представление о ЯЛ как «коммуникативной». По Г.Н. Беспамятновой, это «совокупность отличительных качеств личности, обнаруживающихся в ее коммуникативном поведении и обеспечивающих личности коммуникативную индивидуальность» [37. С. 10].
Наконец, в ряде определений, связанных с конкретным носителем языка, выкристаллизовываются задачи лингвоперсонологии, ставящей в центр исследования реальных индивидов в диалектическом единстве индивидуального и коллективного в их языке и речи, в сочетании собственно языкового и личностного в широком смысле этого слова. Следует отметить, что в дефинициях Ю.Н. Караулова11, где обозначены компоненты структуры ЯЛ (лексикон, тезаурус и прагматикон), отражен современный взгляд на язык как инструмент познания мировоззрения, системы ценностей и мотивов человека. Не случайно эти толкования термина имеют самый высокий индекс цитирования: в свернутом виде в них заложены методологические принципы анализа рассматриваемого феномена.
Многие исследователи стремятся сузить содержание понятия «языковая личность», вводя его в парадигматический ряд близких понятий, или заменить исходный термин иными терминообозначениями. Так, А.В. Пузырев противопоставляет языковую личность мыслительной, речевой и коммуникативной, связывая с первым из терминов только анализ степени развитости языка, его особенностей [38]; В.В. Красных разграничивает языковую, речевую, коммуникативную личность и человека говорящего [39. С. 12]. Предлагают также использовать термин «речевая личность», наполняя его различ-
11 Эти определения не исключают возможности их применения и при исследовании реальных ЯЛ.
ным содержанием. В отдельных работах он рассматривается как тождественный по значению общепринятому «языковая личность», но более точный по внутренней форме; в трудах других лингвистов с ним связывается только один из аспектов описания ЯЛ.
Итак, термин «языковая личность» активно утверждается в лингвистике наших дней. Его востребованность обусловлена прежде всего антропологической направленностью современной науки о языке. Многоплановость интерпретации этого термина связана с разными представлениями об объекте, стоящем за данным обозначением, степени абстрагирования в процессе исследования, аспектах изучения означенного феномена. Множество его трактовок демонстрируют, с одной стороны, развитие многозначности, с другой -стремление к устранению нежелательной для терминосистемы полисемии. Вторичные термины (в которых нередко за тождественной звуковой оболочкой также закрепляется неодинаковое содержание) пока приживаются плохо, а первичный «языковая личность» сохраняет вариативность семантического наполнения. Такое положение вещей можно объяснить как антиномичностью исходных объектов, отраженных в рассматриваемом словосочетании (единство и противоположность языка / речи, социального и индивидуального начала в человеке), так и недостаточной сформированностью терминологического аппарата новой области научного знания.
Представляется, что во многих случаях термин «языковая личность» употребляется избыточно широко для обозначения коллектива носителей языка. В связи с вычленением лингвоперсонологии из более широкой области антропологической лингвистики целесообразным было бы закрепление за объектами разной степени абстракции разных терминообозначений, которые еще предстоит ввести для разделов языкознания, смежных с теорией языковой личности.
Литература
1. Кочеткова Т.В. Проблема изучения языковой личности носителя элитарной речевой культуры (обзор) // Вопросы стилистики. Саратов, 1996. Вып. 26. С. 14—24.
2. Психолингвистика и межкультурное взаимопонимание. М., 1991. 350 с.
3. Чудинов В.А. Проблема языкового субъекта // [http://chudinov.ru/problema-yazyikovogo-!зиЬеЙа/].
4. ВайсгерберЙ.Л. Родной язык и формирование духа: Пер. с нем. 2-е изд., испр. и доп. М.: Едиториал УРСС, 204. 232 с.
5. Виноградов В.В. Избранные труды: О языке художественной прозы. М.: Наука, 1980. 360 с.
6. Богин Г.И. Современная лингводидактика. Калинин: Калинин. гос. ун-т, 1980. 61 с.
7. Богин Г.И. Концепция языковой личности: Автореф. дис. ... д-ра фиолол. наук. Л., 1982.
31 с.
8. Караулов Ю.Н. Русский язык и языковая личность. М.: Наука, 1987. 262 с.
9. Русский язык: Энцикл. 2-е изд., перераб. и доп. М.: БРЭ, 1997. 704 с.
10. Клюканов И.Э. Языковая личность и интегральные смысловые образования // Язык, дискурс и личность. Тверь, 1990. С. 69—73.
11. Пушкин А.А. Способ организации дискурса и типология языковых личностей // Язык, дискурс и личность. Тверь, 1990. С. 50—60.
12. Еремеева О.А. О понятии «языковая личность» // Лингвистика: взаимодействие концепций и парадигм. Харьков, 1991. Вып. 1, ч. 2. С. 434.
13. Лингвоперсонология: типы языковых личностей и личностно-ориентированное обучение / Под ред. Н.Д. Голева, Н.В. Сайковой, Э.П. Хомич. Барнаул; Кемерово, 2006. 435 с.
14. Барсукова Е.В. Языковая личность как категория исторической культурологии (на материале «Архива князя Воронцова»): Автореф. дис. ... канд. культурологии. М., 2007. 22 с.
15. Бороденко М.В. «Языковая» личность // Культурно-историческая психология развития. М., 2001. С. 211—214.
16. Ерошенко А.Р. Концепт «Человек» в антропологической лингвистике: особенности интерпретации // Антропоцентрическая парадигма в филологии. Ставрополь, 2003. Ч. 2. С. 18—20.
17. Годунова С.Ю. Педагогические условия развития языковой личности студента технического вуза: Автореф. дис. ... канд. пед. наук. М., 2008. 24 с.
18. Психологический словарь. М.: Педагогика-пресс, 1997. 440 с.
19. Тимофеев В.П. Личность и языковая среда: Учеб. пособие. Шадринск, 1971. 122 с.
20. Коллектив. Личность. Общение: Словарь социально-психологических понятий / Под ред. Е.С. Кузьмина, В.Е. Семенова. Л.: Лениздат, 1986. 144 с.
21. Сусов И. П. Личность как субъект языкового общения // Личностные аспекты языкового общения. Калинин, 1989. С. 9—16.
22. Розина Р.И. Человек и личность в языке // Логический анализ языка: Культурные концепты. М., 1991. С. 52—56.
23. Лингвоперсонология и личностно-ориентированное обучение языку: Учеб. пособие / Под ред. Н.В. Мельник. Кемерово, 2009. 384 с.
24. Культура русской речи: Энцикл. слов.-справ. М.: Флинта: Наука, 2003. 840 с.
25. Гронская О.Н. Языковая картина мира и языковая личность сказки: пути реконструкции // Языковая картина мира. Кемерово, 1995. С. 126—127.
26. Ширина Е.В. К характеристике понятий «личность», «языковая личность» и «языковой портрет» // Речевая деятельность. Текст. Таганрог, 2002. С. 274—280.
27. Трубецкой Н.С. К проблеме русского самопознания // Вавилонская башня-2: Слово. Текст. Культура. Чтения 2002-2003. М., 2003. С. 7—12.
28. Нерознак В.П. Лингвистическая персонология: к определению статуса дисциплины // Язык. Поэтика. Перевод. М., 1996. С. 112—116.
29. Сентенберг И.И. Языковая личность в коммуникативно-деятельностном аспекте // Языковая личность: проблемы значения и смысла. Волгоград, 1994. С. 14—25.
30. Ворожбитова А.А. Теория текста: антропоцентрическое направление: Учеб. пособие. 2-е изд., испр. и доп. М.: Высш. шк., 2005. 367 с.
31. Шевченко О.Н. Языковая личность переводчика (на материале дискурса Б.В. Заходера): Автореф. дис. ... канд. филол. наук. Волгоград, 2005. 22 с.
32. Мурзин Д.Н. Антропологическая ниша в языковой науке // Лексика, грамматика, текст в свете антропологической лингвистики. Екатеринбург, 1995. С. 11—12.
33. Иванцова Е.В. Феномен диалектной языковой личности. Томск: Изд-во Том. ун-та, 2002. 312 с.
34. Воркачев С.Г. Этносемантика паремии: сопоставительный анализ метафоризированных показателей безразличия в русском и испанском языках // Языковая личность: культурные концепты. Волгоград; Архангельск, 1996. С. 16—25.
35. КарасикВ.И. Языковая личность: аспекты изучения // II Междунар. науч. конф. «Язык и культура», Москва, 17-21 сентября 2003 г.: Тез. докл. М., 2003. С. 362—363.
36. Карасик В.И. Модельная личность как лингвокультурный концепт // Филология и культура: Материалы 3-й Междунар. науч. конф. Ч. 2. Тамбов, 2001. С. 98—101.
37. Беспамятнова Г.Н. Языковая личность телевизионного ведущего: Автореф. дис. ... канд. филол. наук. Воронеж, 1994. 19 с.
38. Пузырев А.В. Общество, язык, текст и языковая личность в аспекте субстратного подхода к языку // Общество, язык, личность. М., 1996. Вып. 1. С. 20—23.
39. Красных В.В. Структура коммуникации в свете лингвокогнитивного подхода (коммуникативный акт, дискурс, текст): Автореф. дис. ... д-ра филол. наук. М., 1999. 72 с.
[ext[ссылка в библиотеку|file:///D:/BI/S/o-termine-yaz-kovaya-lichnost.pdf]]
* [ext[ссылка|https://istina.msu.ru/media/publications/article/45c/520/6886840/2014-07-02_Muhortov_D.S._Ob_obschem_i_chastnom_v_ponyatiyah.pdf]]
*[ext[PMLE3|http://x919232q.bget.ru/wp-content/uploads/2019/11/PMLE32019.html]]
*[ext[PMLE4-1|http://x919232q.bget.ru/wp-content/uploads/2019/12/PMLE4-1.html]]
*[ext[t209|http://x919232q.bget.ru/wp-content/uploads/2019/12/t209.html]]
[ext[ссылка в библиотеку|file:///D:/BI/S/obrazovatelnaya-sreda.pdf]]
[[Названия (образцы)|Названия (образцы)Новая статьяПедагогика]]
Исследовательская статья
''Мультимодальный контент электронного учебного курса, особенности его структуры и лингводидактический потенциал'' [ext[ссылка|http://journals.rudn.ru/psychology-pedagogics/article/view/22813/17775]]
Л.М. Гальчук
* Введение
* Процедура, материалы и методы исследования
* Результаты и их обсуждение
* Заключение
Теоретическая статья
''Аннотация''
Представлен анализ феномена креативности в трудах отечественных и зарубежных ученых. Особое внимание уделяется факторам проявления креативности в различные периоды онтогенеза и характеристике условий, необходимых для формирования креативной личности. На основе ретроспективного анализа и обобщения концептуальных подходов к изучению параметров креативности выявлены критерии, по которым можно определять уровень развития креативной личности
```
Список литературы
Анисимова Е.Е. Лингвистика текста и межкультурная коммуникация (на материале креоли-
зованных текстов). М.: Академия, 2003. 128 с.
Вашунина И.В. Взаимодействие визуальных и вербальных составляющих при восприятии креолиз-
ованного текста. Нижний Новгород: Изд-во НГПУ, 2007. 421 с.
Винникова Т.А. Особенности структурной организации кино-
текста (на материале художественного фильма «The Queen») // Вестн. Том. гос. ун-та. 2009. No 325. С. 15–17.
```
```
Казберов П.Н., Бовин Б.Г., Фасоля А.А. Психологический профиль террориста //
Психология и право. 2019. Т. 9. No 3. С. 141–157.
https://doi.org/10.17759/psylaw.2019090311
Комплексный план противодействия идеологии терроризма в Российской Федерации на
2019–2023 годы (утв. Президентом Российской Федерации от 28.12.2018 No Пр-2665). URL:
https://www.mchs.gov.ru/dokumenty/2632
Borum R. Radicalization and involvement in violent extremism I: A review of definitions and
applications of social science theories // Journal of Strategic Security. 2011а. Рp. 7–36.
http://dx.doi.org/10.5038/1944-0472.4.4.1
Яничев Д.П. Когнитивные аспекты самовосприятия личностных черт у пациентов с невротической и неврозоподобной симптоматикой: автореф. дис. ... канд. психол. наук. СПб.: СПбГУ, 2006.
```
Игнатова И.Б. Обучение грамматическому строю русской речи иностранных студентов-филологов как основа формирования языковой личности будущего учителя
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=837842]]
[[Материал из дисерткат|Дисерткат_ИгнатоваИБ]]
* [ext[ссылка в библиотеку pdf|file:///D:/BI/dis_ignatova_ib.pdf]]
* [ext[ссылка в библиотеку docx|file:///D:/BI/dis_ignatova_ib.docx]]
*[ext[ссылка Интернет BI|https://yadi.sk/i/gy978MfF9kkPQw]]
---
*{{iib_dis_s11_2}}*[[iib_dis_s11_2]]
*{{iib_dis_s11_3}}*[[iib_dis_s11_3]]
*{{iib_dis_s11_4}}*[[iib_dis_s11_4]]
*{{iib_dis_s11_5}}*[[iib_dis_s11_5]]
---
*{{iib_dis_s12_1}}*[[iib_dis_s12_1]]
*{{iib_dis_s12_2}}*[[iib_dis_s12_2]]
*[[стр. 12|iib_dis_s12]]
---
*{{iib_dis_s13_1}}
*[[стр. 13|iib_dis_s13_1]]
---
*{{iib_dis_s14_2}}*[[iib_dis_s14_2]]
*{{iib_dis_s32_3}}*[[iib_dis_s32_3]]
*{{iib_dis_s32_4}}*[[iib_dis_s32_4]]
*{{iib_dis_s33_1}}*[[iib_dis_s33_1]]
Дрянгина Е.А. Обучение студентов-филологов ассоциативно-образным средствам репрезентации языковой личности учителя
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=1145561]]*[ext[ссылка 2|https://new-disser.ru/_avtoreferats/01004985768.pdf]]
{{dea_ar_s5_2}}*[[dea_ar_s5_2]]
{{dea_ar_s5_3}}*[[dea_ar_s5_3]]
{{dea_ar_s5_4}}*[[dea_ar_s5_4]]
{{dea_ar_s6_2}}*[[dea_ar_s6_2]]
{{dea_ar_s8_5}}*[[dea_ar_s8_5]]
{{dea_ar_s8_7}}*[[dea_ar_s8_7]]
{{dea_ar_s9_2}}*[[dea_ar_s9_2]]
{{dea_ar_s9_4_0}}*[[dea_ar_s9_4_0]]
{{dea_ar_s9_4_1}}*[[dea_ar_s9_4_1]]
{{dea_ar_s9_4_2}}*[[dea_ar_s9_4_2]]
{{dea_ar_s9_4_3}}*[[dea_ar_s9_4_3]]
{ {dea_ar_s9_4}}*[[dea_ar_s9_4]]
{{dea_ar_s10_1}}*[[dea_ar_s10_1]]
В данном разделе проведен анализ диссертаций группы 13.00.01. В группе "Общая педагогика, история педагогики и образования" представлены следующие диссертация на соискание ученой степени доктора педагогических наук В.А. [[Григорьевой-Голубевой|Григорьева-Голубева]] [1] и кандидатские диссертации Г.А. [[Ивановой|Иванова Г.А.]] , З.В. [[Емельяновой|Емельянова]], И.Ф. [[Птицыной|Птицына]], О.П. [[Протченко]], Ю.Н. [[Хлызовой|Хлызова]] [2; 3; 4; 5; 6].
Предмет исследования в диссертации В.А. Григорьевой-Голубевой - процесс развития языковой личности учителя начальных классов. В диссертации разработана теоретическая модель языковой личности педагога представляющая систему пяти элементов: коммуникативный потенциал личности (общительность), коммуникативная компетентность, профессиональная культура речи, коммуникативная культура, коммуникативное поведение.*[[[1, c.10]|ggva_ar_s10_3_5]]. Следует отметить, что данная модель языковой личности отличается от канонических моделей языковой личности И.Г. Богина и Ю.Н. Караулова
Можно выделить диссертацию [[Ивановой|Иванова Г.А.]] Г.А.
Предмет исследования в диссертации процесс формирования языковой личности посредством культуры иноязычного чтения. [[[2, с.7] |iga_ar_s7_4]]
В диссертации за основу берётся модель Ю. Н. Караулов и "структурная модель языковой личности строится по пересекающимся осям - виды речевой деятельности (аудирование, говорение, чтение и письмо); уровни языка (фонетика, грамматика, лексика) и степень владения компонентами данного уровня. [[[2, с.13] |iga_ar_s13]]
Важным моментом является положение о том, что "языковую личность также можно сформулировать как «эталон-анализатор, диагностирующий состояние языковой развитости конкретного индивидуума". [[[там же] |iga_ar_s13]]
В своем исследовании автор трактует языковую личность как такую концептуальную позицию, которая выполняет системообразующую функцию, позволяющую осмысливать и усваивать знания о языке, его структуре, и функционировании на основе формирования и развития культуры иноязычного чтения.[[[2, с.6] |iga_ar_s6_4]]
Предмет исследования в диссертации З.В. [[Емельяновой|Емельянова]] - процесс формирования языковой личности студентов экономического профиля в контексте подготовки к межкультурной деловой коммуникации. [[[* 3, с.3] |ezv_ar_s4_1]]. За основу была взята концепция языковой личности Ю.Н. Караулова. При этом рассматривается формирование языковой личности при условии развития интерактивной компетенции;[[[* 3, с.5]|ezv_ar_s5_3-2]]. В данной диссертации решаются вопросы развития языковой личности студентов-нефилологов, средствами спецкурса "Деловой английский".
Предмет исследования в диссертации И.Ф. [[Птицыной|Птицына]] - педагогическое обеспечение формирования межкультурной компетенции вторичной языковой личности студентов. [[[4, с.4] |pif_ar_s4_6]]. Автор использует модель языковой личности Ю.Н. Караулова, при этом " развивая концепцию «трёхуровневого представления модели языковой личности», .... @@color:red; использует @@ тезис о трёхуровневом процессе речевой деятельности [[[4, с.10] |pif_ar_s10_1]]. Особенностью данной диссертации является то, что исследуется вторичная языковая личность на базе второго иностранного языка - японского, в неязыковом вузе.[[[4, с.6] |pif_ar_s6_5_4]]. В диссертации уточнено понятие «межкультурная компетенция вторичной языковой личности студентов» как способность воспринимать, понимать и интерпретировать феномены иной культуры, умение сравнивать их с феноменами собственной культуры, встраивать их в свою картину мира; [[[4, с.6] |pif_ar_s6_5_2]]
Предмет исследования О.П. [[Протченко]] - дидактико-методические принципы, формы, методы и средства формирования языковой личности учителя начальных классов.
Научная новизна полученных результатов. В исследовании впервые применительно к дидактике дано определение понятия "языковая личность учителя начальных классов*, раскрыты его объем и структура; изучены общефилософские, этнокультурные, лингвистические и дидактические основы. Разработаны вербально-семантические. коммуникативно-прагматические, психолого-педагогические, когнитивные и методические пути и средства формирования языковой личности учителя начальных классов в педагогическом училище. [[[5, с.3] |pop_ar_s3]]
Предмет исследования в диссертации Ю.Н. [[Хлызовой|Хлызова]] педагогические условия формирования медиакомпетентности вторичной языковой личности. Концепция вторичной языковой личности экстраполированная в область медиаобразования, позволяет приступить к реализации процесса формирования медиакомпетентности языковой личности готовой к осуществлению не только межъязыковой, межкультурной, но и медиатизированной коммуникации.[[[6, с.3] |hnyu_ar_s9_3]]
Выводы
Можно констатировать что диссертации по специальности 13.00.01 посвящены в основном формированию либо языковой личности студентов, либо отдельных её компонент языковой личности.
В четырех из шести диссертациях за основу берется модель языковой личности Ю.Н. Караулова. В одной диссертации используется авторская модель языковой личности (В.А. Григорьева-Голубева). В диссертации Ю.Н. Хлызовой используется модель вторичной языковой личности И.И. Халеевой.
4 762
По научной специальность "Общая педагогика, история педагогики и образования (шифр 13.00.01) - за исследуемый период 1997 - 2011 защищено 6 диссертаций, из них одна на соискание ученой степени доктора педагогических наук В.А. [[Григорьевой-Голубевой|Григорьева-Голубева]] [[[1]|Становление гуманистических ценностей педагога (в аспекте языковой личности)]] и четыре кандидатские диссертации Г.А. [[Ивановой|Иванова Г.А.]] , З.В. [[Емельяновой|Емельянова]], И.Ф. [[Птицыной|Птицына]], О.П. [[Протченко]], Ю.Н. [[Хлызовой|Хлызова]] [2; 3; 4; 5; 6].
Предмет исследования в диссертации В.А. [[Григорьевой-Голубевой|Григорьева-Голубева]] [[[1]|Становление гуманистических ценностей педагога (в аспекте языковой личности)]] - процесс развития языковой личности учителя начальных классов. В диссертации разработана теоретическая модель языковой личности педагога представляющая систему пяти элементов: коммуникативный потенциал личности (общительность), коммуникативная компетентность, профессиональная культура речи, коммуникативная культура, коммуникативное поведение.*[[[1, c.10]|ggva_ar_s10_3_5]]. Следует отметить, что данная модель языковой личности отличается от канонических моделей языковой личности И.Г. Богина и Ю.Н. Караулова
Можно выделить диссертацию [[Ивановой|Иванова Г.А.]] Г.А. [[[2]|Педагогические основы формирования языковой личности посредством культуры иноязычного чтения]]
Предмет исследования в диссертации процесс формирования языковой личности посредством культуры иноязычного чтения. [[[2, с.7] |iga_ar_s7_4]]
В диссертации за основу берётся модель Ю. Н. Караулов и "структурная модель языковой личности строится по пересекающимся осям - виды речевой деятельности (аудирование, говорение, чтение и письмо); уровни языка (фонетика, грамматика, лексика) и степень владения компонентами данного уровня. [[[2, с.13] |iga_ar_s13]]
Важным моментом является положение о том, что "языковую личность также можно сформулировать как «эталон-анализатор, диагностирующий состояние языковой развитости конкретного индивидуума". [[[там же] |iga_ar_s13]]
В своем исследовании автор трактует языковую личность как такую концептуальную позицию, которая выполняет системообразующую функцию, позволяющую осмысливать и усваивать знания о языке, его структуре, и функционировании на основе формирования и развития культуры иноязычного чтения.[[[2, с.6] |iga_ar_s6_4]]
Предмет исследования в диссертации З.В. [[Емельяновой|Емельянова]] [[[3]|Формирование интерактивной компетенции языковой личности при обучении иностранным языкам в неязыковом вузе]] - процесс формирования языковой личности студентов экономического профиля в контексте подготовки к межкультурной деловой коммуникации. [[[* 3, с.3] |ezv_ar_s4_1]]. За основу была взята концепция языковой личности Ю.Н. Караулова. При этом рассматривается формирование языковой личности при условии развития интерактивной компетенции;[[[* 3, с.5]|ezv_ar_s5_3-2]]. В данной диссертации решаются вопросы развития языковой личности студентов-нефилологов, средствами спецкурса "Деловой английский".
Предмет исследования в диссертации И.Ф. [[Птицыной|Птицына]] [[[4]|Педагогические условия формирования межкультурной компетенции вторичной языковой личности студентов (на материале изучения японского языка и культуры)]] - педагогическое обеспечение формирования межкультурной компетенции вторичной языковой личности студентов. [[[4, с.4] |pif_ar_s4_6]]. Автор использует модель языковой личности Ю.Н. Караулова, при этом " развивая концепцию «трёхуровневого представления модели языковой личности», .... @@color:red; использует @@ тезис о трёхуровневом процессе речевой деятельности [[[4, с.10] |pif_ar_s10_1]]. Особенностью данной диссертации является то, что исследуется вторичная языковая личность на базе второго иностранного языка - японского, в неязыковом вузе.[[[4, с.6] |pif_ar_s6_5_4]]. В диссертации уточнено понятие «межкультурная компетенция вторичной языковой личности студентов» как способность воспринимать, понимать и интерпретировать феномены иной культуры, умение сравнивать их с феноменами собственной культуры, встраивать их в свою картину мира; [[[4, с.6] |pif_ar_s6_5_2]]
Предмет исследования О.П. [[Протченко]] [[[5]|Формирование языковой личности учителя начальных классов в педагогическом училище]]- дидактико-методические принципы, формы, методы и средства формирования языковой личности учителя начальных классов.
Научная новизна полученных результатов. В исследовании впервые применительно к дидактике дано определение понятия "языковая личность учителя начальных классов*, раскрыты его объем и структура; изучены общефилософские, этнокультурные, лингвистические и дидактические основы. Разработаны вербально-семантические. коммуникативно-прагматические, психолого-педагогические, когнитивные и методические пути и средства формирования языковой личности учителя начальных классов в педагогическом училище. [[[5, с.3] |pop_ar_s3]]
Предмет исследования в диссертации Ю.Н. [[Хлызовой|Хлызова]] [[[6]|Педагогические условия формирования медиакомпетентности вторичной языковой личности]] педагогические условия формирования медиакомпетентности вторичной языковой личности. Концепция вторичной языковой личности экстраполированная в область медиаобразования, позволяет приступить к реализации процесса формирования медиакомпетентности языковой личности готовой к осуществлению не только межъязыковой, межкультурной, но и медиатизированной коммуникации.[[[6, с.3] |hnyu_ar_s9_3]]
Выводы
Можно констатировать что диссертации по специальности 13.00.01 посвящены в основном формированию либо языковой личности студентов, либо отдельных её компонент языковой личности.
В четырех из шести диссертациях за основу берется модель языковой личности Ю.Н. Караулова. В одной диссертации используется авторская модель языковой личности (В.А. Григорьева-Голубева). В диссертации Ю.Н. Хлызовой используется модель вторичной языковой личности И.И. Халеевой.
4 762
По научной специальность "Общая педагогика, история педагогики и образования (шифр 13.00.01) - за исследуемый период 1997 - 2011 защищено 6 диссертаций, из них одна на соискание ученой степени доктора педагогических наук В.А. [[Григорьевой-Голубевой|Григорьева-Голубева]] [[[2]|Становление гуманистических ценностей педагога (в аспекте языковой личности)]] и четыре кандидатские диссертации Г.А. [[Ивановой|Иванова Г.А.]] , З.В. [[Емельяновой|Емельянова]], И.Ф. [[Птицыной|Птицына]], О.П. [[Протченко]], Ю.Н. [[Хлызовой|Хлызова]] [3; 4; 5; 6; 7].
Цель исследования в диссертации В.А. [[Григорьевой-Голубевой|Григорьева-Голубева]] [[[2]|ggva_ar 1]] разработка и обоснование концепции развития гуманистических ценностей языковой личности студентов. Предмет исследования - процесс развития @@color:red; языковой личности учителя начальных классов @@. В диссертации разработана теоретическая модель языковой личности педагога представляющая систему пяти элементов: коммуникативный потенциал личности (общительность), коммуникативная компетентность, профессиональная культура речи, коммуникативная культура, коммуникативное поведение.*[[[2, c.10]|ggva_ar_s10_3_5]]. Следует отметить, что данная модель языковой личности отличается от канонических моделей языковой личности И.Г. Богина и Ю.Н. Караулова @@color:red; Студенты пед инст - нач классы @@
Цель исследования диссертации [[Ивановой|Иванова Г.А.]] Г.А. [[[3]|iga_ar 1]] разработка педагогических основ формирования языковой личности в процессе становления личностно-образующего потенциала иностранного языка в рамках трехступенчатой деятельностной модели обучения [[[3, с.7]|iga_ar_s7_5]]. Предмет исследования в диссертации процесс формирования языковой личности посредством культуры иноязычного чтения. [[[3, с.7] |iga_ar_s7_4]]
В диссертации за основу берётся модель Ю. Н. Караулов и "структурная модель языковой личности строится по пересекающимся осям - виды речевой деятельности (аудирование, говорение, чтение и письмо); уровни языка (фонетика, грамматика, лексика) и степень владения компонентами данного уровня. [[[3, с.13] |iga_ar_s13]]
Важным моментом является положение о том, что "языковую личность также можно сформулировать@@color:red; как «эталон-анализатор, диагностирующий состояние языковой развитости конкретного индивидуума" @@. [[[там же] |iga_ar_s13]]
В своем исследовании автор трактует языковую личность как такую концептуальную позицию, которая выполняет системообразующую функцию, позволяющую осмысливать и усваивать знания о языке, его структуре, и функционировании на основе формирования и развития культуры иноязычного чтения.[[[3, с.6] |iga_ar_s6_4]] @@color:red; Студенты юристы@@
Цель исследования в диссертации З.В. [[Емельяновой|Емельянова]] [[[4]|ezv_ar 1]] определение педагогических условий, обеспечивающих эффективность формирования интерактивной компетенции языковой личности при обучении иностранным языкам в неязыковом вузе. Предмет исследования - процесс формирования языковой личности студентов экономического профиля в контексте подготовки к межкультурной деловой коммуникации. [[[* 4, с.3] |ezv_ar_s4_1]]. За основу была взята концепция языковой личности Ю.Н. Караулова. При этом рассматривается формирование языковой личности при условии развития интерактивной компетенции;[[[* 4, с.5]|ezv_ar_s5_3-2]]. В данной диссертации решаются вопросы развития языковой личности @@color:red; студентов-нефилологов, средствами спецкурса "Деловой английский"@@.
Цель исследования в диссертации И.Ф. [[Птицыной|Птицына]] [[[5]|pif_ar 1]] определить, теоретически обосновать и экспериментально проверить педагогические условия, обеспечивающие формирование межкультурной компетенции вторичной языковой личности студентов. Предмет исследования - педагогическое обеспечение формирования межкультурной компетенции вторичной языковой личности студентов. [[[5, с.4] |pif_ar_s4_6]]. Автор использует модель языковой личности Ю.Н. Караулова, при этом " развивая концепцию «трёхуровневого представления модели языковой личности», .... @@color:red; использует @@ тезис о трёхуровневом процессе речевой деятельности [[[5, с.10] |pif_ar_s10_1]]. Особенностью данной диссертации является то, что исследуется вторичная языковая личность на базе второго иностранного языка - японского, в неязыковом вузе.[[[5, с.6] |pif_ar_s6_5_4]]. В диссертации уточнено понятие «межкультурная компетенция вторичной языковой личности студентов» как способность воспринимать, понимать и интерпретировать феномены иной культуры, умение сравнивать их с феноменами собственной культуры, встраивать их в свою картину мира; [[[5, с.6] |pif_ar_s6_5_2]] @@color:red; студенты неязыковых вузов, изучающих японский язык в качестве второго иностранного языка@@
Цель исследования диссертации О.П. [[Протченко]] [[[6]|pop_ar 1]] определить дидактические пути'' формирования'' //в педагогическом училище//'' языковой личности учителя начальных классов,'' совершенствовать технологию обучения будущего педагога, выявить условия для успешного развития его языковой, лингвистической, коммуникативной и профессиональной компетенции.Предмет исследования - дидактико-методические принципы, формы, методы и средства формирования языковой личности учителя начальных классов.
Научная новизна полученных результатов. В исследовании впервые применительно к дидактике дано определение понятия "языковая личность учителя начальных классов*, раскрыты его объем и структура; изучены общефилософские, этнокультурные, лингвистические и дидактические основы. Разработаны вербально-семантические. коммуникативно-прагматические, психолого-педагогические, когнитивные и методические пути и средства формирования языковой личности учителя начальных классов в педагогическом училище. [[[6, с.3] |pop_ar_s3]] @@color:red; Студенты пед училищ нач классы @@
Цель исследования в диссертации Ю.Н. [[Хлызовой|Хлызова]] [[[7]|hnyu_ar 1]] заключается в теоретической разработке и обосновании педагогических условий формирования медиакомпетентности вторичной языковой личности, экспериментальной проверке их эффективности. Предмет исследования - педагогические условия формирования медиакомпетентности вторичной языковой личности. Концепция вторичной языковой личности экстраполированная в область медиаобразования, позволяет приступить к реализации процесса формирования медиакомпетентности языковой личности готовой к осуществлению не только межъязыковой, межкультурной, но и медиатизированной коммуникации.[[[7, с.3] |hnyu_ar_s9_3]] @@color:red; Студенты лингвиcты @@
Выводы
Можно констатировать что диссертации по специальности 13.00.01 посвящены в основном формированию либо языковой личности студентов, либо отдельных её компонент языковой личности. только в диссертации Ю.Н. Хлызовой - студенты лингвисты.
В четырех из шести диссертациях за основу берется модель языковой личности Ю.Н. Караулова. В одной диссертации используется авторская модель языковой личности (В.А. Григорьева-Голубева). В диссертации Ю.Н. Хлызовой используется модель вторичной языковой личности И.И. Халеевой.
4 762
*Пузырев А.В. Общество, язык, текст и языковая личность в аспекте субстратного подхода к языку Общество, язык и личность: Материалы Всероссийской научной конференции (Пенза, 23-26 октября 1996 г.). М., 1996. С. 20-22. [ext[ссылка|http://puzyrev-a-v.ru/?q=content/%D0%BE%D0%B1%D1%89%D0%B5%D1%81%D1%82%D0%B2%D0%BE-%D1%8F%D0%B7%D1%8B%D0%BA-%D1%82%D0%B5%D0%BA%D1%81%D1%82-%D0%B8-%D1%8F%D0%B7%D1%8B%D0%BA%D0%BE%D0%B2%D0%B0%D1%8F-%D0%BB%D0%B8%D1%87%D0%BD%D0%BE%D1%81%D1%82%D1%8C-%D0%B2-%D0%B0%D1%81%D0%BF%D0%B5%D0%BA%D1%82%D0%B5-%D1%81%D1%83%D0%B1%D1%81%D1%82%D1%80%D0%B0%D1%82%D0%BD%D0%BE%D0%B3%D0%BE-%D0%BF%D0%BE%D0%B4%D1%85%D0%BE%D0%B4%D0%B0-%D0%BA-%D1%8F%D0%B7%D1%8B%D0%BA%D1%83]]
* ВВЕДЕНИЕ ..................... 4
* ГЛАВА 1. Теоретические основы экспериментального психолингвистического исследования профессиональной идентификации ................................................... 19
* 1.1. Понятие идентичности и профессиональной идентификации ................. 19
* 1.2. Ассоциативно-вербальная сеть как модель профессиональной идентификации ............. 32
* 1.2.1. Понятие языкового сознания ............. 33
* 1.2.2. Понятие языковой личности .............................. 37
* 1.2.3. Ассоциативно-вербальная сеть как модель языкового сознания ....... 41
* 1.2.4. Макроуровень анализа ассоциативных данных ...... 50
* 1.2.5. Микроуровень анализа ассоциативных данных .................................. 53
* 1.3. Особенности психолингвистического исследования профессиональной идентификации военных ........... 60
* Выводы по первой главе ......... 68
* ГЛАВА 2. Построение ассоциативно-вербальной модели профессиональной
* идентификации военного .............................. 71
* 2.1. Организация и проведение свободного ассоциативного эксперимента с курсантами, создание подкорпуса ПВАС .............................................................. 71
* 2.2. Анализ языковой личности военного на макро и микроуровне АВС ...... 79
* 2.3. Ассоциативное поле СОЛДАТ .......... 83
* 2.4. Ассоциативное поле СЛУЖБА ........... 108
* 2.5. Ассоциативное поле ВРАГ ............... 135
* 2.6. Ассоциативное поле ВОЙНА .......... 175
* 2.7. Другие ассоциативные поля ......... 223
* Выводы по второй главе ............ 246
* ЗАКЛЮЧЕНИЕ ...... 249
* СПИСОК СОКРАЩЕНИЙ И УСЛОВНЫХ ОБОЗНАЧЕНИЙ .... 252
* СЛОВАРЬ ТЕРМИНОВ ............. 255
* СПИСОК ЛИТЕРАТУРЫ .............. 259
* ПРИЛОЖЕНИЯ ..................... 290
* Приложение А. Образец анкеты для свободного ассоциативного
* эксперимента с курсантами ........... 290
* Приложение Б. Ассоциативно-вербальный профиль испытуемого .............. 291
* Приложение В. Ядро языкового сознания ........... 296
* Приложение Г. Ассоциативное поле СОЛДАТ ....... 302
* Приложение Д. Ассоциативное поле СЛУЖБА ....... 305
* Приложение Е. Ассоциативное поле ВРАГ ........ 307
* Приложение Ж. Ассоциативное поле ВОЙНА ....... 310
*
!! Цитирование
Ожегов .С.И. Словарь русского языка: 70 000/ Под ред. Н.Ю. Шведовой. - М.: Рус. яз.. 1990. - 921 с.
Электронная версия [ext[ссылка|http://www.slovorod.ru/dic-ozhegov/index.html]]
Ожиганова Г.В. Вестник РУДН. Серия: Психология и педагогика. 2018. Т. 15. № 3. С. 255-270
САМОРЕГУЛИРУЕМЫЕ И САМОРЕГУЛИРУЕМЫЕ ВОЗМОЖНОСТИ: КОМПОНЕНТЫ, УРОВНИ, МОДЕЛИ
Галина Владимировна Ожиганова, Институт психологии РАН, Москва, 129366, ул. Ярославская, 13, Российская Федерация
''Аннотация''. В статье рассматриваются различные определения саморегуляции. Задача состоит в том, чтобы изучить понятие саморегуляции и его восприятия в западной и российской психологии; понятие саморегулируемых способностей; компоненты, уровни и модели саморегуляции. Обзор представления саморегуляции в западной и российской психологии показывает, что саморегуляция изучается в отношении различных аспектов жизни: саморегулируемого обучения, профессиональной деятельности, управления здоровьем, благополучия и т. Д. Саморегуляция обычно определяется через термин «способность» или «способность». Это заставляет исследователей глубже осмыслить саму способность к саморегуляции. Теоретический анализ компонентов, уровней и моделей саморегуляции позволяет нам говорить об их разнообразии, но есть общие и решающие компоненты: мотивация, стандарты (в том числе ценности, мораль), постановка целей, планирование, способность для контроля и самоконтроля, способность оценивать и исправлять результаты, упорствовать в достижении цели. Выявлено, что очень важный компонент саморегуляции - духовный - отсутствует в рассмотренных моделях, и автор предлагает две модели саморегуляции, в которые входит духовный уровень: 1) четырехуровневая модель саморегуляции регулирование; 2) четырехуровневая модель саморегулирующихся и саморегулируемых способностей. Обе модели подразумевают более высокий духовный уровень саморегуляции, который связан с более высокими моральными принципами и основан на высших ценностях и смыслах бытия. Более высокие способности саморегуляции помогают высвободить потенциал энергии для бескорыстного самоотверженного служения обществу. Более высокие способности саморегуляции позволяют людям увеличивать энергетический ресурс для саморегуляции и способствуют повышению производительности и качества жизни.
''Ключевые слова'': саморегуляция, компоненты и уровни саморегуляции, высший духовный уровень саморегуляции, высшие саморегуляционные способности, модели саморегуляции.
255
''Введение''.
Вопросы саморегуляции важны для психологического исследования, поскольку они связаны с основными аспектами человеческой жизни. Социальная значимость и самореализация, профессиональный успех и семейное счастье, продвижение к более высоким ступеням личностного развития и духовного роста основаны на способности к саморегуляции. Сосредоточены на важности саморегуляции в жизни человека и необходимости В его широком психологическом исследовании задача этого исследования состоит в том, чтобы рассмотреть:
- понятие саморегуляции и его восприятия в западной и российской психологии;
- понятие саморегулируемых способностей;
- компоненты, уровни и модели саморегуляции.
''Представление саморегуляции в западной и российской психологии''
В словарях саморегуляция интерпретируется в соответствии со специализацией, но поскольку мой интерес связан с гуманитарными науками, в словаре социологии саморегуляция определяется как:
1) Свойство систем разных уровней сохранять внутреннюю стабильность благодаря своим согласованным реакциям, компенсирующим влияние меняющихся условий окружающей среды;
2) Деятельность, направленная на достижение цели, произвольно поставленной человеком, и предложение создания модели этой деятельности, ее коррекция в процессе деятельности (Словарь социологии).
В Психологическом словаре (Краткий словарь психологических терминов) саморегуляция определяется как процесс управления человеком своими психологическими и физиологическими состояниями, а также действиями.
В Оксфордском словаре спорта Наука и медицина саморегуляция определяется как регуляция собственного целенаправленного поведения без непосредственного внешнего контроля (Kent, 2006).
В западной психологии саморегуляция рассматривается многими психологами в связи с целенаправленной деятельностью человека.
Саморегуляция участвует в самосогласованной постановке и реализации целей и успешном завершении целенаправленных действий в связи с мотивационными и поведенческими процессами (Carver & Scheier, 1998).
Саморегуляция связана с контролем действий и контролем внимания и рассматривается как способность удерживать внимание на определенной цели, несмотря на отвлекающие факторы (Diehl, Semegon, & Schwarzer, 2006).
Эффективные саморегуляторы активно направляют свои стратегии на достижение поставленных целей (Zimmerman, 2002).
Саморегулирование - это процесс непрерывного мониторинга прогресса в достижении цели, проверки результатов и перенаправления неудачных попыток (Berk, 2003). Саморегулирование связано с внутренними и / или транзакционными процессами, позволяющими человеку выполнять целенаправленные действия со временем и при меняющихся обстоятельствах. Регулирование предполагает контроль мысли, аффекта, поведения или внимания посредством преднамеренного или автоматизированного применения определенных механизмов и поддерживающих мета-навыков. Саморегуляция направляет поведение через определенный путь к определенной цели. Таким образом, саморегуляция характеризуется волевыми факторами, такими как постановка целей, самоконтроль, активация и использование целей, выявление и реализация несоответствий, самооценка, самоосуждение, самоэффективность, мета-навыки, граничные условия и нарушение саморегуляции (Karoly, 1993).
По словам А. Бандуры, «Саморегулирующаяся система лежит в основе причинных процессов. Они не только опосредуют эффекты большинства внешних воздействий, но и обеспечивают саму основу для целенаправленных действий »(Bandura, 1991a, p. 248). Социально-когнитивная теория предполагает, что социальные факторы влияют как на систему саморегуляции, так и на внутренние факторы. «Саморегуляция является многогранным явлением, действующим через ряд вспомогательных когнитивных процессов, включая самоконтроль, установление стандартов, оценочное суждение, самооценку и аффективную самореакцию» (Bandura, 1991a, p. 282).
В рамках социальной когнитивной теории было проведено множество исследований (Schunk, 1990; Zimmerman, Bonner, & Kovach, 1996; Schunk, 2001; Zimmerman, 2001).
256
при изучении саморегулируемого обучения. В этом отношении саморегуляция определяется как «процесс самонаправления, посредством которого учащиеся превращают свои умственные способности в академические навыки» (Zimmerman, 2002, p. 65). Термин саморегуляция охватывает состояния и процессы, связанные с регуляция стресса, настроения, мыслей, внимания, эмоций и импульсов (голод, агрессия, сексуальное возбуждение) (Gross, 2007). Таким образом, саморегуляция часто связана с эмоциональной регуляцией (Ochner & Gross, 2005; Gross & John, 2003; Tice & Baumeister, 1993), подчеркивая эмоциональный аспект саморегуляции. Когнитивные аспекты саморегуляции изучались в отношении планирование и реализация целей (Gollwitzer, Fujita, & Oettingen, 2004), внимание (Rueda, Posner & Rothbart, 2011), сила воли в когнитивно-эмоциональном процессе (Mischel & Ayduk, 2004). Термин саморегуляция описан в связи на благосостояние (Baumann, Kaschel & Kuhl, 2005; Hofer, Busch & Kartner, 2011) и на управление здравоохранением (Cameron & Leventhal, 2003; Mann, de Ridder & Fujita, 2013). Аспекты саморегуляции, широко исследуемые в западной психологии, связаны с управлением здоровьем и благополучием: расстройства пищевого поведения (Fischera & Munsch, 2012), потребление алкоголя (Hustad, Carey, Carey & Maisto, 2009); сексуальное поведение (Ross & Fontao, 2006); агрессивное поведение (Ross, Fontao & Schneider, 2007; Ross & Fontao, 2007; Tittle, Ward & Grasmick, 2003) и др. Российская психология традиционно связывает изучение саморегуляции с деятельностью человека и деятельностный подход. Согласно этому подходу сознательная саморегуляция понимается как целостная система для постановки целей и управления достижением целей поведения и деятельности. Эта система основана на постановке целей, моделировании существенных условий достижения целей, программировании действий, оценке и коррекции результатов. Деятельностный подход к пониманию и изучению саморегуляции исходит из теории функциональных систем (Анохин, 1970), который утверждает, что ключевой фактор, способствующий формированию функциональных систем, связан с получением полезных результатов. В контексте теории деятельности с психологической точки зрения это означает, что процесс регулирования неявно связан с получение определенного результата, т. е. с достижением определенных целей деятельности (Леонтьев, 1975). Деятельностный подход использует методологическую парадигму с принципами жесткого внешнего детерминизма психики, исходя из философии диалектического материализма (теории отражения). Процессы саморегуляции также происходят в тесном единстве с процессами самоконтроля и являются одним из механизмов высокой надежности человеческой деятельности, в том числе профессиональной деятельности. В рамках психологии труда проводится много исследований, посвященных изучению того, как саморегуляция может способствовать успеху в профессиональной деятельности: процесс саморегуляции для адаптации к сложной профессиональной деятельности в экстремальных условиях (Дикая, 2003); процессы саморегуляции в связи со стрессом, влияющим на профессиональную эффективность (Бодров, 2006); саморегуляция в ситуациях профессионального стресса (Леонова, 2007) и др. В настоящее время, согласно Пригину (2009), можно выделить три основных направления в исследованиях сознательной саморегуляции личности: 1) психическая самость -регуляция функционального состояния (Дикая, 2003); 2) волевая саморегуляция поведения
257
и деятельность (Иванников, 2010); 3) сознательная психическая саморегуляция добровольной деятельности (Конопкин, 2007). Можно добавить индивидуальный стилевой подход (Моросанова, 1998), а также изучение особенностей саморегуляции психических состояний (Прохоров, 2005), концепции регулятивного опыта (Осницкий, 2000) и др. Следует отметил, что при определении саморегуляции наблюдается тенденция к переходу от внешнего определения к внутреннему и в то же время к поддержанию идеи целостности психического функционирования. Можно отметить, что традиционная парадигма отходит от жесткого внешнего детерминизма. Это особенно очевидно в концепции регулирующего опыта (Осницкий, 2000). Он также связывает опыт регулирования с целенаправленной, прогнозируемой, организованной деятельностью человека, но включает в себя важную систему субъективных критериев и оценочных установок, чувств и представляет ее как открытую систему, которая обогащается и совершенствуется в течение всей жизни. Концепция Нормативный опыт (Осницкий, 2000), основанный на целостном подходе к изучению психологических фактов, позволяет подчеркнуть рефлексивные и ценностные аспекты, а также сознательные и бессознательные чувства, во многом определяющие повседневное поведение человека. Эти аспекты связаны, с одной стороны, с возможностями саморегуляции, а с другой стороны - с внутренним опытом и чрезвычайно важны для психологического изучения разносторонности внутренней жизни человека и оживления ресурсы на различных уровнях, включая духовные. Таким образом, можно сказать, что в западном и российском представлении саморегуляции существуют общие идеи о самоконтроле, постановке целей и достижении активности, в западной психологии существует особый интерес к Управление здоровьем, благополучие, саморегулирование обучения в российской психологии. Особое внимание уделяется саморегуляции работы и профессиональной деятельности. Очень важным, на мой взгляд, в саморегуляции является фактор внутреннего опыта (Осницкий, 2000), который позволяет учитывать рефлексивные и ценностные аспекты саморегуляции. Я думаю, что категория внутреннего опыта позволяет рассмотреть более высокий уровень саморегуляции и саморегуляции, которые характеризуются духовностью, морально-ценностными чувствами, рефлексивностью, глубокой осведомленностью и т. Д. Саморегуляторные способности. Исследователи часто используют термин «способность». Описать саморегуляцию. Таким образом, согласно (Baumeister & Vohs, 2007), саморегуляция связана со способностью изменять поведение в соответствии со стандартами, идеалами или целями, обусловленными внутренними или общественными ожиданиями. Способность саморегулирования связана со значительной саморегуляцией. навыки помощи, позволяющие эффективно управлять мыслями, чувствами, действиями и достигать целей, одновременно осваивая сложные условия (Gagnon, Durand-Bush & Young, 2016). Саморегулирование рассматривается как высокоадаптивная способность, поэтому процессы саморегуляции актуальны к дисциплинам, которые стремятся внести вклад в физическое здоровье людей, психологическое благополучие и производительность труда »(Kuhl, Kaz n, & Koole, 2006). Хорошие способности к саморегуляции помогают добиться успеха в школе, работе, отношениях и психическом здоровье в целом (Baumeister & Vohs, 2007). Саморегулирование в образовании связано со способностью учащихся контролировать свои собственные действия в отношении обучения процесс (Гонсалес, 2013)
258
Саморегуляция связана со способностью человека сознательно менять свое состояние. Среди основных методов саморегуляции в этом отношении можно назвать: нервно-мышечную релаксацию, аутогенную тренировку, идеомоторную тренировку, самогипноз и т. Д. (Энциклопедический словарь). Саморегуляцию можно понимать как общую способность человека, который действует как субъект их целенаправленной деятельности и как процесс реализации этой способности в определенной деятельности и конкретных формах общения (Конопкин, 2007). Саморегулирующая способность относится к способности индивида осуществлять контроль над своим поведением, мыслями и чувства. Например, способность подавлять предрассудки, чувствовать себя лучше или выбирать здоровую пищу. Способность к саморегуляции варьируется среди людей и может зависеть от ситуационных факторов, таких как опыт саморегуляции усталости. Способность к саморегуляции, однако, считается ограниченным ресурсом, который (1) временно истощается усилиями самоконтроля (эффект, называемый «истощением эго») и (2) различается по силе от человека к человеку ( Кэмерон, Уэбб, 2013). Таким образом, саморегуляция означает способность ставить цели, следить за своим поведением, чтобы он служил этим целям, корректировать поведение, если это необходимо, и обладать достаточной силой воли, чтобы сохраняться до достижения целей. думать, что способности саморегуляции должны помогать управлять и направлять личное поведение и контролировать желания, побуждения и эмоции в соответствии с правилами человеческого взаимодействия, чтобы стало возможным достижение определенных целей или достижение определенных идеалов. Способность к саморегуляции одна из важнейших человеческих характеристик. Это связано с рефлексией, самосознанием, эмоциональными и волевыми процессами, постановкой целей, с достижением жизненно важных и важных целей, ведущих к саморазвитию и реализации смыслов и целей жизни. Итак, в саморегуляции можно указывать разные компоненты, аспекты и уровни. Среди компонентов и уровней саморегуляции я также отмечаю его более высокий уровень - духовный. На мой взгляд, саморегуляция на некотором уровне может рассматриваться как более высокая способность, открывающая путь к духовному росту, а внутренний опыт - это фактор, способствующий проявлению этой способности. Саморегуляция связана с более высокой способностью, когда это связано с духовностью. Чтобы определить наивысший уровень саморегуляции и саморегуляции, когда они рассматриваются как духовные способности, я использую критерий близости к духовному Я. Духовные способности обеспечивают движение от эгоцентрического Я (человека, думающего только о себе, без учета интересов, убеждений, установок других) к духовному Я, которое основано на морально-ценностной основе личности (человечество и альтруизм). ). Духовность понимается как охватывающая два аспекта жизни: религиозный и нерелигиозный - область творчества, высокая мораль, бескорыстное, бескорыстное служение людям и обществу и т. Д. (Ожиганова, 2010; Ожиганова, 2016). Компоненты, уровни и модели возможностей саморегуляции и саморегуляции. Многие исследователи изучали процессы саморегуляции в рамках теории социального познания и теории социального обучения, уделяя особое внимание различным компонентам и аспектам саморегуляции.
259
260
Саморегулятивные способности человека в профессиональной деятельности [ext[ссылка|http://journals.rudn.ru/psychology-pedagogics/article/view/15108/13983]]
[[Ожиганова англ]]
[[Ожиганова ру]]
SELF-REGULATION AND SELF-REGULATORY CAPACITIES:
COMPONENTS, LEVELS, MODELS
Galina V. Ozhiganova
Institute of Psychology of Russian Academy of Sciences
13, Yaroslavskaya str., Moscow, 129366, Russian Federation
Abstract. In the article various definitions of self-regulation are considered. The task is to examine
the notion of self-regulation and its perceptions in the Western and Russian psychology; the notion of
self-regulatory capacities; the components, levels and models of self-regulation. A review of the
representation of self-regulation in the Western and Russian psychology reveals that self-regulation is
studied in relation to different facets of life: self-regulated learning, professional activity, health
management, well-being, etc. Self-regulation is generally defined through the term “capacity” or
“ability”. It makes researchers comprehend the concept of self-regulatory capacities itself more deeply.
The theoretical analysis of the components, levels and models of self-regulation allows us to speak
about their variety, but there are the components which are general and crucial: motivation, standards
(including values, morality), goal-setting, planning, ability for monitoring and self-control, capacity
to evaluate and correct the results, to persist in goal attainment. It is revealed that a very important
component of self-regulation — spiritual — is missing in the reviewed models, and the author proposes
the two models of self-regulation where the spiritual level is included: 1) a four-level model of self-
regulation; 2) a four-level model of self-regulation and self-regulatory capacities. Both models imply
a higher spiritual level of self-regulation which is related to higher moral principles and based on the
highest values and meanings of being. The higher self-regulatory capacities help to liberate the potential
of energy for disinterested selfless service to the society. The higher self-regulatory capacities allow
individuals to increase the energy resource for self-regulation and contribute to the productivity and
quality of life.
Key words: self-regulation, components and levels of self-regulation, higher spiritual level of self-
regulation, higher self-regulatory capacities, models of self-regulation
Introduction
The self-regulation questions are important for a psychological study, as they are
related to the principal facets of human life. Social relevance and self-realization,
professional success and family happiness, advancement to higher stages of personal
development and spiritual growth are based on the capability for self-regulation.
Focused on the importance of the self-regulation in the human life and the necessity
of its wide psychological study, the task of this research is to consider:
— the notion of self-regulation and its perceptions in the Western and Russian
psychology;
— the notion of self-regulatory capacities;
— the components, levels and models of self-regulation.
256
Representation of self-regulation in Western and Russian psychology
In dictionaries, self-regulation is interpreted according to the specialization, but as
my interest lies with humanities, in the Dictionary of Sociology self-regulation is
defined as:
1) The property of the systems of different levels to keep the inner stability thanks to
its coordinated reactions, compensating for the influence of changing environmental
conditions;
2) The activity aimed at achieving the goal arbitrary set by the person and suggesting
the creation of the model of this activity, its correction during the activity (Dictionary of
Sociology).
In the Psychological Dictionary (A Brief Dictionary of Psychological Terms), the
self-regulation is defined as the process of the person managing their own psychological
and physiological states, as well as actions.
In Oxford Dictionary of Sports Science and medicine, the self-regulation is defined
as the regulation of one’s own goal-oriented behavior without immediate external control
(Kent, 2006).
In the Western psychology, self-regulation is considered by many psychologists in
relation to human goal-oriented activities.
The self-regulation is involved in self-concordant goal setting and enactment and
successful completion of the goal-oriented action in connection with motivational and
behavioral processes (Carver & Scheier, 1998).
Self-regulation is related to action control and to attention control and is considered
as the ability to keep one’s attention focused on a given goal despite distractions (Diehl,
Semegon, & Schwarzer, 2006).
Effective self-regulators proactively direct their strategies to achieve self-set goals
(Zimmerman, 2002). Self-regulation is the process of unceasingly monitoring progress
toward a goal, checking results, and redirecting unsuccessful efforts (Berk, 2003).
Self-regulation is linked to the internal and/or transactional processes, enabling a
person to conduct goal-directed activities over time and across changing circumstances.
Regulation supposes control of thought, affect, behavior, or attention through deliberate
or automated applying of particular mechanisms and supportive meta-skills. Self-
regulation endeavors to guide behavior via a particular path to a directed goal. Thus,
self-regulation is characterized by the volitional factors, such as goal setting, self-
monitoring, activation and use of goals, discrepancy detection and implementation,
self-evaluation, self-consequation, self-efficacy, meta-skills, boundary conditions, and
self-regulation failure (Karoly, 1993).
According to A. Bandura, “Self-regulatory system lies at the very heart of causal
processes. They not only mediate the effects of most external influences, but provide the
very basis for purposeful action” (Bandura, 1991a, p. 248). Social cognitive theory assumes
that social factors influence the system of self-regulation as well as internal factors. “Self-
regulation is a multifaceted phenomenon operating through a number of subsidiary
cognitive processes including self-monitoring, standard setting, evaluative judgment,
self-appraisal, and affective self-reaction” (Bandura, 1991a, p. 282).
In the framework of social cognitive theory, many researches (Schunk, 1990;
Zimmerman, Bonner, & Kovach, 1996; Schunk, 2001; Zimmerman, 2001) were aimed
Ozhiganova G.V. RUDN Journal of Psychology and Pedagogics,
257
at studying self-regulated learning. In this regard, self-regulation is defined as “the self-
directive process by which learners transform their mental abilities into academic skills”
(Zimmerman, 2002, p. 65).
The term of self-regulation covers states and processes linked to the regulation of
stress, moods, thoughts, attention, emotions and impulses (hunger, aggression, sexual
arousal) (Gross, 2007). Thus, self-regulation is often associated with emotional regulation
(Ochner & Gross, 2005; Gross & John, 2003; Tice & Baumeister, 1993), emphasizing
the emotional aspect of self-regulation.
Cognitive aspects of self-regulation were studied in relation to planning and goals
implementation (Gollwitzer, Fujita, & Oettingen, 2004), attention (Rueda, Posner &
Rothbart, 2011), willpower in a cognitive-affective process (Mischel & Ayduk, 2004).
The term of self-regulation is described in connection to well-being (Baumann,
Kaschel, & Kuhl, 2005; Hofer, Busch & Kartner, 2011) and to health management
(Cameron & Leventhal, 2003; Mann, de Ridder & Fujita, 2013). The aspects of self-
regulation, widely researched in the Western psychology are related to health management
and well-being: eating disorders (Fischera & Munsch, 2012), alcohol consumption
(Hustad, Carey, Carey & Maisto, 2009); sexual behavior (Ross & Fontao, 2006); aggressive
behavior (Ross, Fontao & Schneider, 2007; Ross & Fontao, 2007; Tittle, Ward & Grasmick,
2003), etc.
The Russian psychology traditionally associates the study of self-regulation with human
activities, and the activity-based approach. According to this approach, the conscious
self-regulation is understood as a holistic system to set the goals and to manage achieving
the goals of behavior and activities. This system is based on goal setting, modeling of the
significant conditions of the goals achieving, actions programming, evaluation and
correction of the results.
The activity-based approach to understanding and studying self-regulation proceeds
from the theory of functional systems (Anokhin, 1970), which posits that a key factor
contributing to the forming of functional systems is linked to obtaining useful results.
In the context of the activity-based theory from a psychological point of view, this
means that the process of regulation is implicitly associated with obtaining a particular
result, i.e. with achieving certain objectives of activities (Leontiev, 1975). The activity-
based approach uses a methodological paradigm with the principles of hard external
determinism of the psyche, proceeding from the philosophy of dialectical materialism
(reflection theory).
The self-regulation processes also occur in the close unity with the processes of self-
control and are one of the mechanisms of high reliability of human activity, including
the professional activity. There are many researches in the frame of psychology of work
studying how self-regulation can contribute to success in professional activity: self-
regulation process for adaptation to complex professional activity in extreme conditions
(Dikaya, 2003); self-regulation processes in relation to stress affecting professional
effectiveness (Bodrov, 2006); self-regulation in situations of professional stress (Leonova,
2007), etc.
Nowadays, according to Prygin (2009), it is possible to distinguish the three basic
directions in the studies of conscious self-regulation of the personality: 1) psychic self-
regulation of a functional state (Dikaya, 2003); 2) volitional self-regulation of behavior
258
and activity (Ivannikov, 2010); 3) conscious mental self-regulation of voluntary activity
(Konopkin, 2007). The individual style approach (Morosanova, 1998) can be added, as
well as the study of the features of self-regulation of mental states (Prokhorov, 2005), the
concept of regulatory experience (Osnitsky, 2000) and others.
It should be noted that in defining self-regulation there is a trend to move from the
outer determination to the inner one and at the same time to maintain the idea of mental
functioning integrality. It is possible to mark that the traditional paradigm shifts away
from the hard external determinism. This is particularly evident in the conception of
regulatory experience (Osnitsky, 2000). He also links regulatory experience with a targeted,
projected, organized activity of a person, but includes an important system of subjective
criteria and evaluative attitudes, feelings, and presents it as an open system which is
enriched and perfected over a lifetime.
The conception of regulatory experience (Osnitsky, 2000) based on a holistic approach
to the study of psychological facts allows to emphasize reflexive and value aspects, as well
as conscious and unconscious feelings, in many ways determining everyday human
behavior. These aspects are related, on the one hand, to the self-regulatory capacities,
and, on the other hand, — to the inner experience and are extremely important for the
psychological study of the versatility of the inner life of man and the revitalization of
resources at various levels including spiritual.
Thus, it is possible to say that in the Western and Russian representation of self-
regulation there are common ideas about self-control, goal setting and achieving activity,
in the Western psychology there is a special interest in health management, well-being,
self-regulated learning in the Russian psychology a particular attention is paid to self-
regulation of work and professional activity. Very significant, to my mind, in self-regulation
is the inner experience factor (Osnitsky, 2000), which allows to consider reflexive and
value aspects of self-regulation. I think that inner experience category allows to consider
a higher level of self-regulation and self-regulatory capacities, which are characterized
by spirituality, moral-value feelings, reflexivity, deep awareness, etc.
Self-regulatory capacities
Researchers often use the term “capacity” to describe the self-regulation. Thus,
according to (Baumeister & Vohs, 2007), the self-regulation relates to the capacity for
changing behavior in accordance with the standards, ideals or goals conditioned by the
internal or public expectations.
Self-regulation capacity is linked to significant self-help skills allowing effectively to
manage thoughts, feelings, actions and to attain goals while mastering a demanding
environment (Gagnon, Durand-Bush & Young, 2016).
Self-regulation is considered as a highly adaptive capacity, so self-regulation processes
are relevant to disciplines that seek to contribute to people’s physical health, psychological
well-being, and job performance» (Kuhl, Kaz n, & Koole, 2006). Good self-regulatory
capacities help to succeed in school, work, relationships and mental health in general
(Baumeister & Vohs, 2007).
Self-regulation in education is linked to the ability of the students to monitor their
own actions in relation to the learning process (Gonzalez, 2013).
259
Self-regulation is connected with the ability of a person to change consciously his
state. Among the main methods of self-regulation in this relation could be named:
neuromuscular relaxation, autogenic training, ideomotor training, self-hypnosis, etc.
(Encyclopedic dictionary).
Self-regulation can be understood as the general capacity of a person who acts as the
subject of their purposeful activity, and as the process of realizing this ability in a certain
activity and specific forms of communication (Konopkin, 2007).
Self-regulatory capacity refers to an individual’s ability to exert control over their
behavior, thoughts, and feelings. For example, the capacity to inhibit prejudice, make
oneself feel better, or select healthy food. The capacity for self-regulation varies among
individuals and may depend on the situational factors such as the experience of self-
regulatory fatigue.
Self-regulatory capacity is, however, thought to be a limited resource that (1) is
temporarily depleted by the exertions of self-control (an effect termed “ego-depletion”)
and (2) varies in strength from person to person (Cameron, Webb, 2013).
Thus, self-regulation means the ability to set goals, to monitor one’s behavior so that
it serves those goals, to adjust behavior if necessary, and to have enough willpower to
persist until the goals are reached.
I think that the self-regulatory capacities should help manage and direct personal
behavior and control desires, impulses and emotions in accordance with the rules of
human interaction, so that achieving certain goals, or reaching certain ideals became
possible.
The capacity for self-regulation is one of the crucial human characteristics. It is
connected with reflection, self-awareness, emotional and volitional processes, goal setting,
with the achievement of vital and important goals, leading to self-development and the
realization of the meanings and purposes of life. So, in self-regulation it is possible to
specify different components, aspects and levels. Among the components and levels of
self-regulation, I also point out its higher level — spiritual.
To my mind, self-regulation at some level can be considered as the higher capacity,
opening the way to spiritual growth, and inner experience is a factor, contributing to the
manifestation of this capacity. Self-regulation is associated with the higher capacity when
it relates to spirituality. To define the highest level of self-regulation and self-regulatory
capacities when they are considered as spiritual capacities, I use the criterion of proximity
to the spiritual Self. Spiritual capacities ensure the movement from the egocentric self
(person thinking only of oneself, without the regard for the interest, beliefs, attitudes of
others) to a spiritual Self, which is based on the moral-value foundation of the personality
(humanity and altruism). Spirituality is understood as covering two aspects of life: religious
and non-religious — the area of creativity, high morality, selfless, disinterested service to
people and society, etc. (Ozhiganova, 2010; Ozhiganova, 2016).
Components, levels and models of self-regulation and self-regulatory
capacities
Many researchers studied self-regulation processes in the framework of social cognitive
theory and social learning theory focusing on different components and aspects of self-
260
regulation: goal setting (Schunk, 1985, 1990), standard setting (Mischel & Liebert, 1966),
self-evaluation (Bandura & Cervone, 1983), self-efficacy perceptions (Zimmerman &
Ringle, 1981; Bandura, 1982), willpower (Mischel & Ayduk, 2004; Corno, 1989),
motivational component Bandura,1991b), etc.
Bandura highlights three main components of self-regulative mechanism: (1) Self-
observation (self-monitoring of one’s behavior, its determinants and effects); (2) Judgment
of one’s behavior in relation to personal standards and environmental circumstances;
(3) Affective self-reaction (Bandura, 1991a).
In relation to the self-regulated learning the main components of executive control
process which is necessary in order to accomplish complex academic tasks independently
were pointed out:
— Coordinating metacognitive knowledge — regulating cognitive and metacognitive
knowledge, understanding one’s own knowledge, and thought process;
— Planning — using a deliberate and organized approach to perform a task;
— Monitoring — evaluating comprehension whilst carrying out a task, and verifying
the effectiveness, testing, assessing and revising strategies;
— Detecting failure — while fulfilling a task, detecting when an error is made;
— Correcting failure — when an error is detected, going back and correcting it
(Zimmerman, 2001).
According to R. Baumeister, et al., there are three basic сomponents of self-regulation,
“The first is commitment to standards. The second is monitoring of the self and its
behaviors. The third is what is needed to change the self’s responses. All are necessary
for effective self-regulation. Hence a breakdown or problem with any one of them can
produce failure at self-regulation” (Baumeister, Schmeichel & Vohs, 2007, p. 22).
Developing the ideas about the self-regulation, (Baumeister & Vohs, 2007, p. 117) point
out four components of self-regulation, adding motivation:
— Standards (that means to make changes, according to some standard, which should
be clear and well-defined. Uncertain or conflicting standards do not promote effective
self-regulation;
— Monitoring is linked to comparing the self with the standard and evaluating, how
much the self is changed and what is needed for a further progress to achieve the goal;
— Willpower (changing the self is not easy and needs the self-regulatory strength or
energy, which is a limited resource and after the time leads to the ego depletion;
— Motivation — concretely motivation to regulate the self.
The self-regulation is represented not only in various components, but also at different
levels and models. The two main levels are pointed out: (1) physiological and (2) mental.
There are various processes of self-regulation on both physiological and mental levels.
Each of them has its own qualitatively specific energy and information manifestations,
which are in a complex and inextricable relationship (Encyclopedic dictionary).
The self-regulation of purpose-focused activity emerges as the most general and
essential function of the integral human psyche. In the processes of self-regulation the
unity of the psyche is realized in a wide variety of conditionally distinguished separate
levels, sides, features, functions, processes, etc. (Konopkin, 1995).
Some authors propose the model of the seven-level system of regulation in the frame
of personality systems interactions (PSI) theory, representing a functional analysis of the
261
personality architecture, which underlies human motivation and self-regulation (Kuhl,
2000, 2001; Kuhl & Koole, 2004).
The main idea of PSI theory is the following: a human motivation and personality are
mediated by a hierarchy of regulatory systems. This theory considers seven levels of
regulation (Kaschel & Kuhl, 2004), which can be condensed into three broad levels (see
Table 1) (Kuhl, Kazйn & Koole, 2006).
Table 1
Levels and Systems of PSI (Kuhl, Kazйn & Koole, 2006)
Theory Broad category Level Main systems
Complex cognition (7) Self-government
(6) High-level cognition
Self-regulation (EM)
Self-control (IM)
Parallel holistic processing (EM)
Sequential analytic processing (IM)
Emotions and coping (5) Motives Power (EM)
(4) Emotional coping
(3) Affect
Achievement (IM)
Affiliation (IBC)
OR ← Hippocampus → EM
Positive (IBC) Inhibition Pos. (IM)
Negative (OR) Inhibition Neg. (EM)
Elementary sensation and behavior (2) Temperament
(1) Simple cognitive operations
Motor activation (IBC)
Sensory arousal (OR)
Motor programs (IBC)
Sensory categorisation (OR)
Notes. EM = Extension Memory; IM = Intention Memory; OR = Object Recognition; IBC = Intuitive Behavioral
Control; ← → = Interaction between two systems. PSI theory assumes interactions among all systems,
especially at higher levels. Only the main systems involved at each level are listed in the table.
Using the social cognitive theory in self-regulated learning, the authors pick out four
levels: 1) observation, 2) emulation, 3) self-control, and 4) self-regulation (Schunk &
Zimmerman, 1997).
A social cognitive theoretical model of the development of self-regulatory
competence signifies that the academic competence develops from the social origin and
afterwards shifts to self-sources in a series of levels (Table 2) (Schunk & Zimmerman,
1997).
Table 2
Social cognitive analysis of influences on student’s self-regulatory development
(Schunk & Zimmerman, 1997)
Levels of Development Social Influences Self-Influences
Observational
Imitative
Self-controlled
Self-regulated
Models
Verbal description
Social guidance and feed-back
Internal standards
Self-reinforcement
Self-regulatory processes
Self-efficacy beliefs
In accordance to Shanker (2012), who studies children’s self-regulation in learning,
in relation to stress, there are five levels of self-regulation in his model:
1) Biological — Arousal: Environmental stressors (e.g., visual, auditory);
2) Emotional — Modulating negative and positive emotions;
3) Cognitive — Sustaining and switching attention;
262
4) Social — Mastering the skills of co-regulation;
5) Prosocial — Developing the empathy (Shanker, 2012).
The self-regulation is closely related to the self-consciousness. According to (Stolin,
1985), there are three levels of the self-consciousness process functioning: 1) constitutional
(organismic), 2) social, and 3) personal.
I applied Stolin’s idea about the three levels of self-consciousness functioning to the
self-regulation system and pointed out three levels/components of self-regulation. Having
analyzed a numerous representations of the self-regulation (components, levels, models),
I decided that one of the most important components — spiritual — was missing there,
and I added one more level — spiritual.
Thus, I propose a four-level model of self-regulation.
1. Constitutional (organismic) component — activation of organismic resources —
psychophysiological level of self-regulation:
This level involves the regulation and self-regulation of functional states, that includes
the self-regulation of emotional and psychophysiological states and is related to the energy
activation component of adaptation, providing the expenditure processes, recovery and
rapid redeployment of resources in line with its strategy of adaptation and significant for
the person’s purposes, on the one hand, and, on the other hand, compensatory factors
hindering the achievement of these goals.
2. Social component — activation of psychological resources for social interaction — socio-
psychological level of self-regulation:
— Includes psychological regulation of professional activity or a variety of other tasks
as the main function of adaptation in which the person’s presence captures the
rearrangements of cognitive systems activities, purpose-oriented programs, without which
the effective social adaptation is not possible;
— Involves social interactions (e.g. interaction with any social environment, including
the public benefit activities, as well as family relationships, relationships with colleagues
and friends);
— Self-regulation on this level is largely due to social and regulatory rules, life
experience (outer experience).
3. Personal component — activation of inner life experience resources — psychological
level of self-regulation:
This level allows to note that human behavior and its regulation depends not only on
bodily constitution and organismic functions, social and normative experience, but also
on the person’s own activity linked to the subjective categorization of conditions, to
formation of meanings and goal setting, based on the self-attitude, subjective inner
experience, values and meanings dominants.
4. Spiritual component — activation of spiritual resources — supra-psychological (spiritual)
level of self-regulation:
This level is related to higher human values, existential life meanings and spiritual
development; implies both non-religious and religious aspects. The spiritual level is
associated with internal “work” on the analysis and design of one’s own behavior related
to the moral and spiritual growth in accordance with the highest morality standards and
with unselfish behavior. That presupposes ego decentration — a movement from the self-
centered ego to the spiritual self, which is based on the unselfish altruistic self.
263
I emphasize that the division into the described levels is rather conditional, because
individuals manifest themselves in their behavior as a holistic system, admitting
simultaneous action of all levels of self-regulation: constitutional (organismic), social,
personal, spiritual, but these levels can be represented in different proportions. Higher
levels can automatically promote regulation at a lower level, especially, at the organismic
level.
Developing the representation of the self-regulation system I propose the four-level
model of self-regulation and the four-level model of self-regulation and self-regulatory
capacities in relation to professional activity (Ozhiganova, 2016). In comparison with
my previous model there are some changes in the content of the levels.
1. Psychophysiological level — the ability for the self-regulation of emotional and
psycho-physiological states.
2. Socio-psychological level — the ability for the self-regulation in the process of social
interaction.
3. Psychological level:
a) the ability to regulate activities;
b) the capacity for personal self-control and self-perfection;
c) the capacity to show willpower, mobilize energy.
4. Spiritual level — the highest capacity for the self-regulation conditioned by the
orientation of the person to higher values and meanings of existence. The self-regulation
at the highest spiritual level is considered in this research in connection with higher self-
regulatory capacities, which contribute to self-realization of the person in professional
activity.
1. Psychophysiological level — the ability for the self-regulation of the emotional and
psychophysiological states: from the simple self-regulatory skills (individual ways to restore
psycho-emotional balance and improve physical well-being if that becomes necessary in
the process of professional activities, for example, attention switching, etc., and after
work activities, for example: walks, listening to music, playing sports, etc.) — to the
complex ones (using specialized methods of self-regulation, for example, the currently
actual and popular psychotechnics of yoga, Buddhism, etc.).
Using special techniques (methods) of self-regulation, corresponding to the
particularities of the profession in difficult and extreme conditions of professional activity.
At this level, a person carries out the self-regulation free of social interaction, being
all alone.
2. Socio-psychological level — the ability for self-regulation in the process of social
interaction directly related to the professional activities, as well as during any social
interaction that indirectly affects the success of professional activities (for example, family
relations, relationships with friends, etc.). It includes previous level 1 in the social context
of the professional activities and communication (herewith using social strategies for
self-regulation of emotional and psychophysiological states).
The self-regulation in this case is largely due to socio-normative rules and life
experience.
3. Psychological level:
a) the ability to regulate activities: goal-setting, planning, designing the necessary
conditions for the performance of professional activities and ways to improve its
264
effectiveness; ability for monitoring and self-control of its implementation success (high
level of awareness at all stages of professional activity: motive — goal — necessary
conditions — course of action — result evaluation — necessary correction — new result);
is associated with intellectual reflection;
b) the ability for personal self-regulation and self-perfection (the development of self-
awareness, self-knowledge in order to achieve the inner harmony necessary for a successful
fulfillment of any professional activity). A personal reflection plays a decisive role, making
it possible to understand a weak and strong character traits and regulate personal
characteristics, motivational and need spheres in accordance with the requirements of a
chosen professional activity; is associated with personal reflection;
c) the capacity to show willpower, mobilize energy for self-regulation; involves volitional
efforts to achieve the goal of activity and the aim of self-perfection.
The ability for personal self-regulation in a developed form can be attributed to the
category of higher self-regulatory capacities, as it creates conditions for the spiritual
development and self-realization of a person in any activity, including professional activity.
4. Spiritual level — the highest capacity for self-regulation (associated with the holistic
self-regulation at all levels, is conditioned by the highest values and meanings of being,
relates to higher moral principles). The implementation of professional activity at this
level is focused on the evolution (movement from the selfish “I” to the spiritual “I”). A
person performs his professional activity not from any material incentives connected with
the reward, but for the sake of improving the activity itself and, thus, self-actualizing and
self-fulfilling in it.
The self-regulation in this case is conditioned by the person’s value and meaningful
orientations onto the fact that his or her professional activity brings benefit to people and
society as a whole. The implementation of this activity can be perceived as an unselfish
service to humanity. Such high aspirations of the individual, excluding the ambitious and
material claims, automatically regulate the psycho-emotional state, social interaction
(as these aspirations are based on high moral principles), serve as a powerful resource of
intellectual and creative productivity.
It is necessary to highlight that there are no clear boundaries between the described
levels, all the levels are interpenetrating, as the human psyche is an integral dynamic
system.
Comparing the models and components of self-regulation considered in this article,
it is possible to say that the proposed four-level model of self-regulation with respective
self-regulatory capacities has similarities and differences regarding other models.
It is possible to see in the four-level model of self-regulation and the self-regulatory
capacities a lot in common with respect to the components and levels in the other models:
the self-regulation model, pointing out five levels: 1) biological, 2) emotional, 3) cognitive,
4) social, 5) prosocial (Shanker, 2012); the components of self-regulation: standards,
monitoring, strength (energy), motivation, denoted by (Baumeister & Vohs, 2007); the
seven-level model of regulation (Kaschel & Kuhl, 2004) etc., but in my both models all
these components and levels are organized differently. The main difference is that I pick
out and emphasize an additional spiritual level, which can transform all the other levels
and ensure the immense positive strength or energy for self-regulation.
265
It is important to highlight that the fourth spiritual level allows to activate powerful
spiritual resources and decrease ego depletion. According to the strengths model of self-
control, “effortful self-regulation depends on a limited resource that becomes depleted
by any acts of self-control, causing subsequent performance even on other self-control
tasks to become worse” (Baumeister, Vohs, Tice, 2007, p. 351). Adding motivation to the
other components of self-regulation R. Baumeister & Vohs emphasize its important role
to compensate or substitute other components to some degree. “If motivation is high,
such as if the person really and strongly wants to measure up to some standard, this may
compensate for a somewhat lower than usual level of willpower or a greater difficulty of
monitoring” (Baumeister & Vohs, 2007, p. 117). Thus, in relation to the four-level model
of self-regulation and self-regulatory capacities, it is possible to say that if motivation can
be associated with a higher spiritual level, its power increases even more and the resource
of self-regulatory capacities becomes magnificent.
The proposed idea of an immense resource of the fourth spiritual level of self-regulation
and higher self-regulatory capacities can receive support within the framework of “non-
limited resource theory”, which, in contrast to “limited resource theory”, states that if
people believe that willpower is an extensive, abundant (rather than highly limited)
resource, they show better self-control when they perform demanding tasks (Job, Dweck,
Walton, 2010). This is confirmed by experimental studies. The experiments show that
people’s beliefs about the nature of willpower can limit or facilitate the acquisition of a
cognitive skill (Miller et al., 2012); that people, using a non-limited theory of willpower,
self-regulate well in the face of high demands (Job et al., 2015).
Thus, the implicit theories, concerning willpower, can help people’s ability to reinforce
their resources. The spiritual level of self-regulation related to unselfish service to people
and society can intensify willpower and resources making them non-limited, contributing
immensely to the effectiveness of life activity.
Conclusion
1. Basing on the theoretical analysis, it is possible to say that the self-regulation is
described in the Western and Russian psychology as a human goal-oriented controlled
activity as well as the ability to manage one’s own psychological and physiological state.
The self-regulation is studied in relation to the different facets of life: health management,
well-being, self-regulated learning, professional activity, etc., focusing on different aspects:
emotional, cognitive, motivational, behavioral.
2. Self-regulation is mostly represented through the term “capacity” or “ability”. It
makes the researchers take these terms into account more profoundly and describe the
self-regulatory capacities in more detail.
3. Numerous components, levels and models of self-regulation show the interest of
the researchers to study this complex phenomenon in different aspects. Such components
as motivation, standards (values, morality), goal-setting, designing the necessary
conditions to rich a goal, monitoring and self-control, evaluation and correction of results,
capacity to show willpower and persist in goal attainment are general and crucial.
4. The suggested four-level model of self-regulation and the four-level model of self-
regulation and self-regulatory capacities, unlike other models, include a higher spiritual
266
level of self-regulation, which is related to higher moral principles and based on the
highest values and meanings of being. Higher (spiritual) self-regulatory capacities help
to move from egocentrism to the unselfish self, liberating the potential of energy for a
disinterested selfless service to society. It can allow to increase immensely the energy
resource of self-regulation and contribute to productivity and quality of human life.
Acknowledgements:
The study was supported by RSF grant (project № 18-18-00386), Institute of Psychology RAS.
REFERENCES
Anokhin, P.K. (1970). The Theory of functional system. Success of physiological science, 1(1).
Bandura, A. (1982). Self-efficacy mechanism in human agency. American Psychologist, 37, 122—147.
Bandura, A. & Cervone, D. (1983). Self-evaluative and self-efficacy mechanisms governing the
motivational effects of goal systems. Journal of Personality and Social Psychology, 45, 1017—1028.
Bandura, A. (1991a). Social cognitive theory of self-regulation. Organizational Behavior and Human
Decision Processes, 50, 248—287.
Bandura, A. (1991b). Self-regulation of motivation through anticipatory and self-regulatory mechanisms.
In R.A. Dienstbier (Ed.), Perspectives on motivation: Nebraska symposium on motivation, 38, 69—
164. Lincoln: Univ. of Nebraska Press.
Baumann, N., Kaschel, R., & Kuhl, J. (2005). Striving for unwanted goals: Stressdependent discrepancies
between explicit and implicit achievement motives reduce subjective well-being and increase
psychosomatic symptoms. Journal of Personality and Social Psychology, 89, 781—799.
Baumeister, R.F., & Vohs, K.D. (2007). Self-Regulation, Ego Depletion, and Motivation. Social and
Personality Psychology Compass, (1), 115—128.
Baumeister, R., Schmeichel, B., & Vohs, K. (2007). Self-Regulation and the Executive Function: The
Self as Controlling Agent. In A. W. Kruglanski & E.T. Higgins (Eds.), Social psychology: Handbook
of basic principles (Second edition). New York, United States: Guilford Press, 516—539.
Baumeister, R., Vohs K.D., & Tice D.M. (2007). The Strength Model of Self-Control. Current directions
in psychological science. 16, 6, 351—355.
Berk, L.E. (2003). Child development. Boston, MA: Allyn and Bacon.
Bodrov V.A. (2006). Psychological stress: development and coping. Moscow: Per SE. (In Russ.).
Brief Dictionary of Psychological Terms. Retrieved from: https://vocabulary.ru/slovari/kratkii-slovar-
psihologicheskih-terminov.html (In Russ.).
Cameron, D., Webb, Th. (2013). Self-Regulatory Capacity. Encyclopedia of Behavioral Medecine,
1757—1759. Retrieved from: https://link.springer.com/referenceworkentry/10.1007%
2F978-1-4419-1005-9_1177
Carver, C.S., & Scheier, M.F. (1998). On the self-regulation of behavior. Cambridge, UK: Cambridge
University Press.
Cameron, L., & Leventhal, H. (Eds.), (2003). The Self-regulation of Health and Illness Behaviour.
American Psychological Associations.
Corno, L. (1989). Self-regulated learning: A volitional analysis. In B.J. Zimmerman & D.H. Schunk
(Eds.), Self-regulated learning and academic achievement: Theory, research, and practice (pp. 111—
141). New York: Springer.
Dictionary of Sociology. Retrieved from http://enc-dic.com/sociology/Samoreguljacija-8060.html (In
Russ.).
267
Diehl, M., Semegon, A.B., & Schwarzer, R. (2006). Assessing attention control in goal pursuit:
A component of dispositional self-regulation. Journal of Personality Assessment, 86, 306—317.
Dikaya, L.G. (2003). Mental self-regulation of a person’s functional state. Moscow: Institute of Psychology
Publ. (In Russ.).
Encyclopaedic dictionary: Psychology of labor, management, engineering psychology and ergonomics).
Retrieved from: https://vocabulary.ru/slovari/110-enciklopedicheskii-slovar-psihologija-truda-
upravlenija-inzhenernaja-psihologija-i-ergonomika.html (In Russ.).
Fischera, S., & Munsch, S. (2012). Self-Regulation in Eating Disorders and Obesity — Implications
for Treatment. (English Version of) Verhaltenstherapie, 22, 158—164. doi: 10.1159/000341540
Gollwitzer, P.M., Fujita, K., & Oettingen, G. (2004). Planning and the implementation of goals. In
R.F. Baumeister & K.D. Vohs. (Eds). Handbook of Self-Regulation (pp. 211—228). New York: The
Guilford Press.
Gonzalez, A.M. (2013). Six Principles of Self-Regulated Learning: Developing Self-Regulated Language
Learners. Retrieved from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article =
5051&context = etd
Gross, J.J. (2007). Handbook of Emotion Regulation. New York: The Guilford Press.
Gross, J.J., & John, O.P. (2003). Individual differences in two emotion regulation processes: implications
for affect, relationships, and well-being. Journal of Personality and Social Psychology, 85, 348—362.
Hofer, J., Busch, H., Kдrtner J. (2011). Self-regulation and well-being: The influence of identity and
motives. European Journal of Personality, 25, 211—224.
Hustad, J., Carey, K. Carey, M., & Maisto, S. (2009). Self-Regulation, Alcohol Consumption, and
Consequences in College Student Heavy Drinkers: A Simultaneous Latent Growth Analysis. Journal
of Studies on Alcohol and Drugs, 70(3), 373—382.
Ivannikov, V.A. (2010). Volition. National Psychological Journal, 1(3), 97—102. (In Russ.).
Job, V., Dweck, C.S., & Walton, G.M. (2010). Ego depletion — Is it all in your head? Implicit theories
about willpower affect self-regulation. Psychological Science, 21, 1686—1693. doi: 10.1177/
0956797610384745
Job, V., Walton, G.M., Bernecker, K., & Dweck, C.S. (2015). Implicit Theories About Willpower
Predict Self-Regulation and Grades in Everyday Life. Journal of Personality and Social Psychology,
108(4), 637—647. doi: 10.1037/pspp0000014
Karoly, P. (1993). Mechanisms of self-regulation: a systems view. Annual Review of Psychology, 44,
23—52.
Kaschel, R., & Kuhl, J. (2004). Motivational counseling in an extended functional context: Personality
systems interaction theory and assessment. In W.M. Cox & E. Klinger (Eds.), Motivational
counseling: Motivating people for change (pp. 99–119). Sussex: Wiley.
Kent, M. (2006). Oxford Dictionary of Sports Science & Medicine (3 ed.). Oxford: Oxford University
Press.
Konopkin, O.A. (1995). Psychic Self-regulation of arbitrary human activity. Voprosy Psikhologii, (1),
7—12. (In Russ.).
Konopkin, O.A. (2007). The mechanisms of conscious self-regulation of voluntary activity of the
person. In V.I. Morosanova (Ed.), Subject and personality in psychology of self-regulation. Moscow,
Stavropol. PI RAO Publ., Sevkavgtu Publ., 12—31. (In Russ.).
Kuhl, J. (2000). The volitional basis of personality systems interaction theory: Applications in learning
and treatment contexts. International Journal of Educational Research, 33, 665—703.
Kuhl, J. (2001). Motivation und Personlichkeit. Interaktionen psychischer Systeme [Motivation and
personality: Interactions of mental systems]. Gettingen: Hogrefe.
268
Kuhl, J., & Koole, S.L. (2004). Workings of the will: A functional approach. In J. Greenberg, S.L. Koole,
& T. Pyszczynski (Eds.), Handbook of experimental existential psychology (pp. 411—430). New York:
Guilford Press.
Kuhl, J., Kazйn, M., & Koole, S. (2006). Putting Self-Regulation Theory into Practice: A User’s
Manual. Applied Psychology, 55 (3), 408—418.
Miller, E.M., Walton, G.M., Dweck, C.S., Job, V., Trzesniewski, K.H., & McClure, S.M. (2012).
Theories of Willpower Affect Sustained Learning. In J.J. Geng (Ed.), PLoS ONE, 7(6), e38680.
doi: 10.1371/journal.pone.0038680
Leonova, A.B. (2007). Mental reliability of the professional and contemporary technologies of stress
management. Vestnik Moskovskogo Universiteta. Seriya 14. Psikhologiya, (3), 69—81. (In Russ.).
Leontiev, A.N. (1975). Activity. Consciousness. Personality. Moscow: Politizdat Publ. (In Russ.).
Morosanova, V.I. (1998). Individual style of self-regulation: the phenomenon, the structure and functions
of human voluntary activity. Moscow: Nauka Publ. (In Russ.).
Mann, T., De Ridder, D., & Fujita, K. (2013). Self-regulation of health behavior: Social psychological
approaches to goal setting and goal striving. Health Psychology, 32(5), 487—498. doi: 10.1037/
a0028533
Mischel, W. & Liebert, R.M. (1966). Effects of discrepancies between observed and imposed reward
criteria on their acquisition and transmission. Journal of Personality and Social Psychology, (3),
45—53.
Mischel, W. & Ayduk, O. (2004). Willpower in a cognitive-affective processing system: the dynamics
of delay of gratification. In R.F. Baumeister & K.D. Vohs (Eds), Handbook of Self -Regulation
(pp. 99—129). New York: The Guilford Press.
Ochsner, K.N., & Gross, J.J. (2005). The cognitive control of emotion. Trends in Cognitive Science, 9,
242—249.
Osnitsky, A.K. (2000). The structure, content and functions of a regulatory experience of the person. Doctor
Sc. in Psychology Thesis. Moscow: Institute of Psychology of Russian Academy of Sciences. (In
Russ.).
Ozhiganova, G.V. (2010). Psychological aspects of spirituality: spiritual abilities. Psikhologicheskii
Zhurnal, 31(5), 39—53. (In Russ.).
Ozhiganova, G.V. (2016). Spiritual capacities as a resource of life activity. Moscow: Institute of
Psychology of Russian Academy of Sciences publ. (In Russ.).
Prokhorov, A.O. (2005). Self-regulation of mental states: phenomenology, mechanisms, laws. Moscow,
PER SE. (In Russ.).
Prygin, G.S. (2009). Psychology of autonomy. Izhevsk, Naberezhnye Chelny, Institut upravleniya Publ.
(In Russ.).
Ross, T. & Fontao, M.I. (2006). Self-regulation and emotional experience: Preliminary findings in
nonsexual and sexual offenders. Sexual Offender Treatment, 1(2). Retrieved from http://www.sexual-
offendertreatment. org/17.0.html
Ross, T., & Fontao, M.I. (2007). The relationship of self-regulation and aggression: An empirical test
of Personality Systems Interaction Theory. International Journal of Offender Therapy and Comparative
Criminology, 52(5). 554—570.
Ross, T., Fontao, M.I., & Schneider, R. (2007). Aggressive behavior in male offenders: preliminary
analyses of self-regulatory functions in a sample of criminals. Psychological Reports, 100, 1171—
1185.
Rueda, M.R., Posner, M.I., & Rothbart, M.K. (2011). Attentional control and self-regulation. In
R.F. Baumeister, K.D. Vohs (Eds.), Handbook of self-regulation: Research, theory, and applications
(pp. 284—299). New York, NY: Guilford Press.
269
Shanker, S.G. (2012). Calm, Alert and Learning: Classroom Strategies for Self-Regulation. Pearson).
Schunk, D.H. (1985). Participation in goal-setting: Effects on self -efficacy and skills of learning
disabled children. Journal of Special Education, 19, 347—369.
Schunk, D.H. (1990). Goal setting and self-efficacy during self-regulated learning. Educational
Psychologist, 25, 71—86.
Schunk, D.H. (2001). Social cognitive theory and self-regulated learning. In B.J. Zimmerman and
D.H. Schunk (Eds.), Self-regulated learning and academic achievement. (pp. 125—154). Mahwah:
NJ: Lawrence Erlbaum Associates, Inc.
Schunk, D.H., & Zimmerman, B.J. (1997). Social origins of self-regulatory competence. Educational
Psychologist, 32, 195—208.
Stolin, V.V. (1985). Knowledge of self and attitude to the self in the self-consciousness structure. Doctor
Sc. in Psychology Thesis. Moscow. (In Russ.).
Tittle, C.R., Ward, D.A., & Grasmick, H.G. (2003). Self-control and crime/deviance: Cognitive vs.
behavioral measures. Journal of Quantitative Criminology, 19, 333—365.
Zimmerman, B.J. & Ringle, J. (1981). Effects of model persistence and statements of confidence on
children’s efficacy and problem solving. Journal of Educational Psychology, 73, 485—493.
Zimmerman, B., Bonner, S., & Kovach, R. (1996). Goal 1: Understanding the principles of self-
regulated learning. In Developing self-regulated learners: Beyond achievement to self-efficacy
(pp. 5—24). Washington, D.C.: American Psychological Association.
Zimmerman, B.J. (2001). Theories of Self-Regulated Learning and Academic Achievement: An
Overview and Analysis. In Zimmerman, B.J. & Schunk, D.H. (Eds.), Self-Regulated Learning and
Academic Achievement: Theoretical Perspectives (pp. 1—65). Mahwah, NJ: Lawrence Erlbaum
Associates, Publishers.
Zimmerman, B.J. (2002). Becoming a self-regulated learner: An overview. Theory into Practice, 41(2),
64—70.
© Ozhiganova G.V., 201
САМОРЕГУЛЯЦИЯ И САМОРЕГУЛИРУЕМЫЕ ВОЗМОЖНОСТИ: КОМПОНЕНТЫ, УРОВНИ, МОДЕЛИ
Галина Викторовна Ожиганова Институт психологии РАН, Москва, 129366, ул. Ярославская, 13
Аннотация. В статье рассматриваются различные определения саморегуляции. Задача состоит в том, чтобы изучить понятие саморегуляции и его восприятия в западной и российской психологии; понятие саморегулируемых способностей; компоненты, уровни и модели саморегуляции. Обзор представления саморегуляции в западной и российской психологии показывает, что саморегуляция изучается в отношении различных аспектов жизни: саморегулируемого обучения, профессиональной деятельности, управления здоровьем, благополучия и т. Д. Саморегуляция обычно определяется через термин «способность» или «способность». Это заставляет исследователей глубже осмыслить саму способность к саморегуляции. Теоретический анализ компонентов, уровней и моделей саморегуляции позволяет говорить об их разнообразии, но есть компоненты, которые являются общими и решающими: мотивация, стандарты (включая ценности, мораль), постановка целей, планирование, способность к мониторингу и самоконтролю, способность оценивать и исправлять результаты, упорствовать в достижении цели. Выявлено, что очень важный компонент саморегуляции - духовный - отсутствует в рассмотренных моделях, и автор предлагает две модели саморегуляции, в которые входит духовный уровень: 1) четырехуровневая модель саморегуляции регулирование; 2) четырехуровневая модель саморегулирующихся и саморегулируемых способностей. Обе модели подразумевают более высокий духовный уровень саморегуляции, который связан с более высокими моральными принципами и основан на высших ценностях и смыслах бытия. Более высокие способности саморегуляции помогают высвободить потенциал энергии для бескорыстного самоотверженного служения обществу. Более высокие способности саморегуляции позволяют людям увеличивать энергетический ресурс для саморегуляции и способствуют повышению производительности и качества жизни.
Ключевые слова: саморегуляция, компоненты и уровни саморегуляции, более высокий духовный уровень саморегуляции, более высокие саморегуляционные способности, модели саморегуляции. Введение.
Вопросы саморегуляции важны для психологического исследования, поскольку они связаны с основными аспектами человеческой жизни. Социальная значимость и самореализация, профессиональный успех и семейное счастье, продвижение к более высоким ступеням личностного развития и духовного роста основаны на способности к саморегуляции. Сосредоточенная на важности саморегуляции в жизни человека и необходимости его широкого психологического изучения, задачей данного исследования является рассмотрение:
- понятие саморегуляции и его восприятия в западной и российской психологии;
- понятие саморегулируемых способностей;
- компоненты, уровни и модели саморегуляции.
256
Представление саморегуляции в западной и российской психологии. В словарях саморегуляция интерпретируется в соответствии со специализацией, но поскольку мой интерес связан с гуманитарными науками, в словаре социологии саморегуляция определяется как: 1) свойство систем разных уровней для поддержания внутренней стабильности благодаря своим согласованным реакциям, компенсирующим влияние меняющихся условий окружающей среды; 2) Деятельность, направленная на достижение цели, произвольно поставленной человеком, и предложение создания модели этой деятельности, ее коррекция в процессе деятельности (Словарь социологии). В Психологическом словаре (Краткий словарь психологических терминов) саморегуляция определяется как процесс управления человеком своими психологическими и физиологическими состояниями, а также действиями. В Оксфордском словаре спорта Наука и медицина саморегуляция определяется как регуляция собственного целенаправленного поведения без непосредственного внешнего контроля (Kent, 2006). В западной психологии саморегуляция рассматривается многими психологами в связи с целенаправленной деятельностью человека. Саморегуляция участвует в самосогласованной постановке и реализации целей и успешном завершении целенаправленных действий в связи с мотивационными и поведенческими процессами (Carver & Scheier, 1998). Саморегуляция связана с контролем действий и контролем внимания и рассматривается как способность удерживать внимание на определенной цели, несмотря на отвлекающие факторы (Diehl, Semegon, & Schwarzer, 2006). Эффективные саморегуляторы активно направляют свои стратегии на достижение поставленных целей (Циммерман, 2002). Саморегуляция - это процесс непрерывного мониторинга прогресса в достижении цели, проверки результатов и перенаправления неудачных усилий (Berk, 2003). Саморегулирование связано с внутренними и / или транзакционными процессами, позволяя человеку осуществлять целенаправленную деятельность во времени и в изменяющихся обстоятельствах. Регулирование предполагает контроль над мыслями, аффектами, поведением или вниманием посредством преднамеренного или автоматического применения определенных механизмов и поддерживающих мета-навыков. Саморегуляция направляет поведение по определенному пути к определенной цели. Таким образом, саморегуляция характеризуется волевыми факторами, такими как постановка целей, самоконтроль, активация и использование целей, выявление и реализация несоответствий, самооценка, самоосуждение, самоэффективность, мета-навыки, граничные условия , и нарушение саморегуляции (Karoly, 1993). По словам А. Бандуры, «Саморегулирующаяся система лежит в основе причинных процессов. Они не только опосредуют эффекты большинства внешних воздействий, но и обеспечивают саму основу для целенаправленных действий »(Bandura, 1991a, p. 248). Социально-когнитивная теория предполагает, что социальные факторы влияют как на систему саморегуляции, так и на внутренние факторы. «Саморегуляция - это многогранное явление, действующее через ряд вспомогательных когнитивных процессов, включая самоконтроль, установление стандартов, оценочное суждение, самооценку и аффективную самореакцию» (Bandura, 1991a, p. 282). В рамках социальной когнитивной теории многие исследования (Schunk, 1990; Zimmerman, Bonner, & Kovach, 1996; Schunk, 2001; Zimmerman, 2001) были направлены на Ожиганову Г.В.
257
при изучении саморегулируемого обучения. В этом отношении саморегуляция определяется как «процесс самонаправления, посредством которого учащиеся превращают свои умственные способности в академические навыки» (Zimmerman, 2002, p. 65). Термин саморегуляция охватывает состояния и процессы, связанные с регуляцией стресса, настроения, мыслей, внимания, эмоций и импульсов (голод, агрессия, сексуальное возбуждение) (Gross, 2007). Таким образом, саморегуляция часто связана с эмоциональной регуляцией (Ochner & Gross, 2005; Gross & John, 2003; Tice & Baumeister, 1993), подчеркивая эмоциональный аспект саморегуляции. Когнитивные аспекты саморегуляции были изучены в связи с планированием и реализацией целей (Gollwitzer, Fujita, & Oettingen, 2004), внимание (Rueda, Posner & Rothbart, 2011), сила воли в когнитивно-эмоциональном процессе (Mischel & Ayduk, 2004). Термин саморегуляция описывается в связи с благополучием (Baumann, Kaschel, & Kuhl, 2005; Hofer, Busch & Kartner, 2011) и управлением здравоохранением (Cameron & Leventhal, 2003; Mann, de Ridder & Fujita, 2013). Аспекты саморегуляции, широко исследуемые в западной психологии, связаны с управлением здоровьем и благополучием: расстройства пищевого поведения (Fischera & Munsch, 2012), употребление алкоголя (Hustad, Carey, Carey & Maisto, 2009); сексуальное поведение (Ross & Fontao, 2006); агрессивное поведение (Ross, Fontao & Schneider, 2007; Ross & Fontao, 2007; Tittle, Ward & Grasmick, 2003) и т. д. Российская психология традиционно связывает изучение саморегуляции с деятельностью человека и деятельностным подходом. Согласно этому подходу сознательная саморегуляция понимается как целостная система для постановки целей и управления достижением целей поведения и деятельности. Эта система основана на постановке целей, моделировании существенных условий достижения целей, программировании действий, оценке и исправлении результатов. Основанный на деятельности подход к пониманию и изучению саморегуляции исходит из теории функциональных систем (Анохин, 1970), которая утверждает, что ключевой фактор, способствующий формированию функциональных систем, связан с получением полезных результатов. В контексте теории деятельности с психологической точки зрения это означает, что процесс регулирования косвенно связан с получением определенного результата, то есть с достижением определенных целей деятельности (Леонтьев, 1975). В деятельностном подходе используется методологическая парадигма с принципами жесткого внешнего детерминизма психики, исходя из философии диалектического материализма (теории рефлексии). Процессы саморегуляции также происходят в тесном единстве с процессами самоконтроля и являются одним из механизмов высокой надежности человеческой деятельности, в том числе профессиональной. В области психологии труда проводится много исследований, посвященных изучению того, как саморегуляция может способствовать успеху в профессиональной деятельности: процесс саморегуляции для адаптации к сложной профессиональной деятельности в экстремальных условиях (Дикая, 2003); процессы саморегуляции в связи со стрессом, влияющим на профессиональную эффективность (Бодров, 2006); саморегуляция в ситуациях профессионального стресса (Леонова, 2007) и др. В наши дни По словам Пригина (2009), в исследованиях сознательной саморегуляции личности можно выделить три основных направления: 1) психическая саморегуляция функционального состояния (Дикая, 2003); 2) волевая саморегуляция поведения
258
и деятельность (Иванников, 2010); 3) сознательная психическая саморегуляция добровольной деятельности (Конопкин, 2007). Можно добавить индивидуальный стилевой подход (Моросанова, 1998), а также изучение особенностей саморегуляции психических состояний (Прохоров, 2005), концепции регулятивного опыта (Осницкий, 2000) и других. Следует отметить, что при определении саморегуляции наблюдается тенденция перехода от внешнего определения к внутреннему и в то же время поддерживать идею целостности психического функционирования. Можно отметить, что традиционная парадигма отходит от жесткого внешнего детерминизма. Это особенно очевидно в концепции регулирующего опыта (Осницкий, 2000). Он также связывает опыт регулирования с целенаправленной, прогнозируемой, организованной деятельностью человека, но включает в себя важную систему субъективных критериев и оценочных установок, чувств и представляет ее как открытую систему, которая обогащается и совершенствуется в течение всей жизни. Концепция регулирующего опыта (Осницкий, 2000), основанная на целостном подходе к изучению психологических фактов, позволяет акцентировать рефлексивный и ценностный аспекты, а также сознательные и бессознательные чувства, во многом определяющие повседневное поведение человека. Эти аспекты связаны, с одной стороны, с возможностями саморегуляции, а с другой стороны - с внутренним опытом и чрезвычайно важны для психологического изучения разносторонности внутренней жизни человека и оживления ресурсы на разных уровнях, включая духовные. Таким образом, можно сказать, что в западном и российском представлении о саморегуляции существуют общие идеи о самоконтроле, постановке целей и достижении активности, в западной психологии особый интерес представляют управление здоровьем, благополучие, самосовершенствование. В регулируемом обучении в российской психологии особое внимание уделяется саморегуляции работы и профессиональной деятельности. Очень важным, на мой взгляд, в саморегуляции является фактор внутреннего опыта (Осницкий, 2000), который позволяет учитывать рефлексивные и ценностные аспекты саморегуляции. Я считаю, что категория внутреннего опыта позволяет учитывать более высокий уровень саморегуляции и саморегуляции, которые характеризуются духовностью, морально-ценностными чувствами, рефлексивностью, глубоким осознанием и т. Д. Способности к саморегуляции Исследователи часто используют термин «способность» для описания саморегуляции. Таким образом, согласно (Baumeister & Vohs, 2007), саморегулирование связано со способностью изменять поведение в соответствии со стандартами, идеалами или целями, обусловленными внутренними или общественными ожиданиями. Способность к саморегуляции связана со значительными навыками самопомощи, позволяющими эффективно управлять мыслями, чувствами, действиями и достигать целей, одновременно осваивая сложные условия (Gagnon, Durand-Bush & Young, 2016). Саморегуляция рассматривается как высокоадаптивная способность, поэтому процессы саморегуляции имеют отношение к дисциплинам, которые стремятся внести вклад в физическое здоровье людей, психологическое благополучие и производительность труда »(Kuhl, Kaz n, & Koole, 2006). Хорошие способности к саморегуляции помогают добиться успеха в школе, работе, отношениях и психическом здоровье в целом (Baumeister & Vohs, 2007). Саморегуляция в образовании связана со способностью учащихся контролировать свои собственные действия в отношении процесса обучения (Gonzalez, 2013).
259
Саморегуляция связана со способностью человека сознательно менять свое состояние. Среди основных методов саморегуляции в этом отношении можно назвать: нервно-мышечную релаксацию, аутогенную тренировку, идеомоторную тренировку, самогипноз и др. (Энциклопедический словарь). Саморегуляцию можно понимать как общую способность человека, который выступает в качестве субъекта его целенаправленной деятельности, и как процесс реализации этой способности в определенной деятельности и конкретных формах общения (Конопкин, 2007). Способность к саморегуляции относится к способности человека осуществлять контроль над своим поведением, мыслями и чувствами. Например, способность подавлять предрассудки, чувствовать себя лучше или выбирать здоровую пищу. Способность к саморегуляции варьируется среди людей и может зависеть от ситуационных факторов, таких как опыт саморегуляции усталости. Способность к саморегуляции, однако, считается ограниченным ресурсом, который (1) временно истощается усилиями самоконтроля (эффект, называемый «истощением эго») и (2) различается по силе от человека к человеку ( Cameron, Webb, 2013). Таким образом, саморегуляция означает способность ставить цели, контролировать свое поведение, чтобы оно служило этим целям, корректировать поведение, если это необходимо, и обладать достаточной силой воли, чтобы сохраняться до достижения целей. Я думаю, что способности саморегуляции должны помогать управлять и направлять личное поведение и контролировать желания, побуждения и эмоции в соответствии с правилами человеческого взаимодействия, чтобы достигать определенных целей, или достижение определенных идеалов стало возможным. Способность к саморегуляции является одной из важнейших характеристик человека. Это связано с рефлексией, самосознанием, эмоциональными и волевыми процессами, постановкой целей, с достижением жизненно важных и важных целей, ведущих к саморазвитию и реализации смыслов и целей жизни. Итак, в саморегуляции можно указывать разные компоненты, аспекты и уровни. Среди компонентов и уровней саморегуляции я также выделяю его более высокий уровень - духовный. На мой взгляд, саморегуляция на определенном уровне может рассматриваться как более высокая способность, открывающая путь к духовному росту, а внутренний опыт является фактором, способствующим проявлению этой способности. Саморегуляция связана с более высокой способностью, когда это связано с духовностью. Чтобы определить наивысший уровень саморегуляции и саморегуляции, когда они рассматриваются как духовные способности, я использую критерий близости к духовному Я. Духовные способности обеспечивают движение от эгоцентрического Я (человека, думающего только о себе, без учета интересов, убеждений, установок других) к духовному Я, которое основано на морально-ценностной основе личности (человечество и альтруизм). ). Духовность понимается как охватывающая два аспекта жизни: религиозный и нерелигиозный - область творчества, высокая мораль, бескорыстное, бескорыстное служение людям и обществу и т. Д. (Ожиганова, 2010; Ожиганова, 2016). Составные части,
260
регулирование: постановка целей (Schunk, 1985, 1990), установление стандартов (Mischel & Liebert, 1966), самооценка (Bandura & Cervone, 1983), восприятие самоэффективности (Zimmerman & Ringle, 1981; Bandura, 1982), сила воли (Mischel & Ayduk, 2004; Corno, 1989), мотивационный компонент Bandura, 1991b) и т. Д. Бандура выделяет три основных компонента механизма саморегуляции: (1) Самонаблюдение (самоконтроль за своим поведением, его детерминантами и эффектами). ); (2) суждение о своем поведении в отношении личных стандартов и обстоятельств окружающей среды; (3) Аффективная самореакция (Бандура, 1991а). В отношении саморегулируемого обучения были выделены основные компоненты процесса исполнительного контроля, которые необходимы для самостоятельного решения сложных академических задач: - координация метакогнитивных знаний - регулирование когнитивных и метакогнитивных знаний, понимание собственных знаний и процесса мышления; - Планирование - использование продуманного и организованного подхода к выполнению задачи; - Мониторинг - оценка понимания во время выполнения задачи и проверка эффективности, тестирование, оценка и пересмотр стратегий; - Обнаружение ошибки - при выполнении задачи обнаружение ошибки; - Исправление ошибки - когда обнаружена ошибка, вернитесь назад и исправьте ее (Циммерман, 2001). По словам Р. Баумейстера и др., Есть три основных компонента саморегулирования: «Первый - это приверженность стандартам. Второй - это мониторинг себя и его поведения. Третий - это то, что нужно, чтобы изменить ответы самого себя. Все это необходимо для эффективной саморегуляции. Следовательно, поломка или проблема с любым из них может привести к неудаче при саморегуляции »(Baumeister, Schmeichel & Vohs, 2007, p. 22). Развивая идеи о саморегуляции (Baumeister & Vohs, 2007, p. 117), выделите четыре компонента саморегуляции, добавив мотивацию: - Стандарты (что означает внесение изменений в соответствии с каким-то стандартом, что должно быть ясно и четко определенные. Неопределенные или противоречивые стандарты не способствуют эффективному саморегулированию; - мониторинг связан со сравнением личности со стандартом и оценкой того, насколько оно изменилось и что необходимо для дальнейшего прогресса в достижении цели; - Сила воли (изменение себя нелегко и требует силы или энергии саморегуляции, которая является ограниченным ресурсом и со временем приводит к истощению эго; - Мотивация - конкретно мотивация для саморегуляции. Саморегулирование представлено не только в разных компонентах, но и на разных уровнях и моделях. Указаны два основных уровня: (1) физиологический и (2) психический. Существуют различные процессы саморегуляции как на физиологическом, так и на психическом уровнях. Каждый из них имеет свои качественно специфические энергетические и информационные проявления, которые находятся в сложных и неразрывных отношениях (энциклопедический словарь). Саморегуляция целенаправленной деятельности становится самой общей и существенной функцией человеческой психики. В процессах саморегуляции единство психики реализуется в широком разнообразии условно выделенных отдельных уровней, сторон, особенностей, функций, процессов и т. Д. (Конопкин, 1995).
261
архитектура личности, которая лежит в основе мотивации и саморегуляции человека (Kuhl, 2000, 2001; Kuhl & Koole, 2004). Основная идея теории PSI заключается в следующем: человеческая мотивация и личность опосредованы иерархией регуляторных систем. Эта теория рассматривает семь уровней регулирования (Kaschel & Kuhl, 2004), которые можно сжать до трех широких уровней (см. Таблицу 1) (Kuhl, Kazйn & Koole, 2006). Таблица 1 Уровни и системы PSI (Kuhl, Kazйn & Koole, 2006) Теория Широкая категория Уровень Основные системы Комплексное познание (7) Самоуправление (6) Познание высокого уровня Саморегулирование (EM) Самоконтроль (IM) Параллельная целостная обработка (EM) Последовательная аналитическая обработка (IM) Эмоции и копирование (5) Движущая сила (EM) (4) Эмоциональное преодоление (3) Достижение аффекта (IM) Присоединение (IBC) ИЛИ ← Гиппокамп → EM Позитивный (IBC) Ингибирование Поз. (IM) Отрицательное (ИЛИ) ингибирование Отриц. (EM) Элементарное ощущение и поведение (2) Темперамент (1) Простые когнитивные операции Активация двигателя (IBC) Сенсорное возбуждение (OR) Моторные программы (IBC) Сенсорная категоризация (OR) Примечания. EM = дополнительная память; IM = Память о намерениях; ИЛИ = Распознавание объектов; IBC = интуитивный поведенческий контроль; ← → = Взаимодействие двух систем. Теория PSI предполагает взаимодействие между всеми системами, особенно на более высоких уровнях. Только основные системы, задействованные на каждом уровне, перечислены в таблице. Используя теорию социального познания в саморегулируемом обучении, авторы выделяют четыре уровня: 1) наблюдение, 2) эмуляция, 3) самоконтроль и 4) саморегуляция (Schunk & Zimmerman, 1997). Социально-когнитивная теоретическая модель развития саморегулируемой компетентности означает, что академическая компетентность развивается от социального происхождения и затем переходит к самоисточникам на ряде уровней (Таблица 2) (Schunk & Zimmerman, 1997). Таблица 2 Социально-когнитивный анализ влияний на саморегуляторное развитие студента (Schunk & Zimmerman, 1997) Уровни развития Социальные влияния Самостоятельные влияния Наблюдательные подражательные Саморегулируемые саморегулируемые модели Вербальное описание Социальное руководство и обратная связь Внутренние стандарты Самоподкрепление Саморегулируемые процессы Верования в самодостаточность В соответствии с Shanker (2012), который изучает Саморегуляция детей в процессе обучения, в отношении стресса, в его модели существует пять уровней саморегуляции: 1) Биологический - возбуждение: стрессовые факторы окружающей среды (например, зрительные, слуховые); 2) Эмоциональный - модулирование негативных и позитивных эмоций; 3) познавательный - поддержание и переключение внимания; Стрессовые факторы окружающей среды (например, визуальные, слуховые); 2) Эмоциональный - модулирование негативных и позитивных эмоций; 3) познавательный - поддержание и переключение внимания; Стрессовые факторы окружающей среды (например, визуальные, слуховые); 2) Эмоциональный - модулирование негативных и позитивных эмоций; 3) познавательный - поддержание и переключение внимания;
262
4) социальная - овладение навыками со-регулирования; 5) Просоциальное - развитие эмпатии (Shanker, 2012). Саморегуляция тесно связана с самосознанием. Согласно (Столин, 1985), существует три уровня функционирования процесса самосознания: 1) конституционный (организмный), 2) социальный и 3) личностный. Я применил идею Столина о трех уровнях функционирования самосознания к системе саморегуляции и указал на три уровня / компонента саморегуляции. Проанализировав многочисленные представления о саморегуляции (компоненты, уровни, модели), я решил, что там отсутствует один из наиболее важных компонентов - духовный, и добавил еще один уровень - духовный. Таким образом, я предлагаю четырехуровневую модель саморегуляции. 1. Конституциональный (организменный) компонент - активация организменных ресурсов - психофизиологический уровень саморегуляции: этот уровень включает в себя регуляцию и саморегуляцию функциональных состояний, которая включает в себя саморегуляцию эмоциональных и психофизиологических состояний и связан с компонентом активации энергии адаптации, обеспечивающей процессы расходов, восстановление и быстрое перераспределение ресурсов в соответствии с его стратегией адаптации и значимой для целей человека, с одной стороны, и, с другой стороны, компенсирующими факторами, препятствующими достижению этих целей. 2. Социальная составляющая - активация психологических ресурсов для социального взаимодействия - социально-психологический уровень саморегуляции: - включает психологическую регуляцию профессиональной деятельности или целый ряд других задач в качестве основной функции адаптации, при которой присутствие человека фиксирует перестройки деятельности когнитивных систем, целевые программы, без которых эффективная социальная адаптация невозможна; - включает социальные взаимодействия (например, взаимодействие с любой социальной средой, включая общественно-полезную деятельность, а также семейные отношения, отношения с коллегами и друзьями); - Саморегуляция на этом уровне во многом обусловлена социальными и регулятивными правилами, жизненным опытом (внешним опытом). 3. Личный компонент - активация ресурсов внутреннего жизненного опыта - психологический уровень саморегуляции: Этот уровень позволяет отметить, что поведение человека и его регуляция зависят не только от телосложения и функций организма, социального и нормативного опыта, но и от собственной активности человека, связанной с субъективной категоризацией условий, с формированием смыслов и постановкой целей, основанных на на самоотношение, субъективный внутренний опыт, ценности и значения доминант. 4. Духовный компонент - активация духовных ресурсов - надпсихологический (духовный) уровень саморегуляции: этот уровень связан с более высокими человеческими ценностями, жизненными смыслами и духовным развитием; подразумевает как нерелигиозные, так и религиозные аспекты. Духовный уровень связан с внутренней «работой» по анализу и разработке собственного поведения, связанного с нравственным и духовным ростом в соответствии с высочайшими стандартами морали и бескорыстным поведением. Это предполагает децентрацию эго - движение от эгоцентричного эго к духовному я, которое основано на бескорыстном альтруистическом я.
263
Подчеркиваю, что деление на описанные уровни является довольно условным, поскольку индивиды проявляют себя в своем поведении как целостная система, допускающая одновременное действие всех уровней саморегуляции: конституционного (организменного), социального, личного, духовного, но эти уровни могут быть представлены в разных пропорциях. Более высокие уровни могут автоматически способствовать регулированию на более низком уровне, особенно на уровне организма. Развивая представление системы саморегуляции, я предлагаю четырехуровневую модель саморегуляции и четырехуровневую модель возможностей саморегуляции и саморегуляции в отношении профессиональной деятельности (Ожиганова, 2016). По сравнению с моей предыдущей моделью произошли некоторые изменения в содержании уровней. 1. Психофизиологический уровень - способность к саморегуляции эмоциональных и психофизиологических состояний. 2. Социально-психологический уровень - способность к саморегуляции в процессе социального взаимодействия. 3. Психологический уровень: а) способность регулировать деятельность; б) способность к самоконтролю и самосовершенствованию; в) способность проявить силу воли, мобилизовать энергию. 4. Духовный уровень - высшая способность к саморегуляции, обусловленная ориентацией человека на более высокие ценности и смыслы существования. В данном исследовании рассматривается саморегуляция на высшем духовном уровне в связи с более высокими способностями саморегуляции, которые способствуют самореализации человека в профессиональной деятельности. 1. Психофизиологический уровень - способность к саморегуляции эмоциональных и психофизиологических состояний: от простых навыков саморегуляции (индивидуальные способы восстановления психоэмоционального баланса и улучшения физического самочувствия, если это становится необходимым в процессе профессиональной деятельности, например, переключение внимания и т. д., а также после работы, например: прогулки, прослушивание музыки, занятия спортом и т. д.) - на сложные (с использованием специализированных методов саморегуляции, например, актуальных в настоящее время и популярная психотехника йоги, буддизма и т. д.). Использование специальных приемов (методов) саморегуляции, соответствующих особенностям профессии в сложных и экстремальных условиях профессиональной деятельности. На этом уровне человек осуществляет саморегуляцию, свободную от социального взаимодействия, быть совсем одним. 2. Социально-психологический уровень - способность к саморегуляции в процессе социального взаимодействия, непосредственно связанного с профессиональной деятельностью, а также во время любого социального взаимодействия, которое косвенно влияет на успешность профессиональной деятельности (например, семейные отношения, отношения с друзья и т. д.). Он включает предыдущий уровень 1 в социальном контексте профессиональной деятельности и общения (при этом используются социальные стратегии для саморегуляции эмоциональных и психофизиологических состояний). Саморегуляция в этом случае во многом обусловлена социально-нормативными правилами и жизненным опытом. 3. Психологический уровень: а) способность регулировать деятельность: целеполагание, планирование, разработка необходимых условий для выполнения профессиональной деятельности и пути ее совершенствования Социально-психологический уровень - способность к саморегуляции в процессе социального взаимодействия, непосредственно связанного с профессиональной деятельностью, а также во время любого социального взаимодействия, которое косвенно влияет на успешность профессиональной деятельности (например, семейные отношения, отношения с друзьями, и т.д.). Он включает предыдущий уровень 1 в социальном контексте профессиональной деятельности и общения (при этом используются социальные стратегии для саморегуляции эмоциональных и психофизиологических состояний). Саморегуляция в этом случае во многом обусловлена социально-нормативными правилами и жизненным опытом. 3. Психологический уровень: а) способность регулировать деятельность: целеполагание, планирование, разработка необходимых условий для выполнения профессиональной деятельности и пути ее совершенствования Социально-психологический уровень - способность к саморегуляции в процессе социального взаимодействия, непосредственно связанного с профессиональной деятельностью, а также во время любого социального взаимодействия, которое косвенно влияет на успешность профессиональной деятельности (например, семейные отношения, отношения с друзьями, и т.д.). Он включает предыдущий уровень 1 в социальном контексте профессиональной деятельности и общения (при этом используются социальные стратегии для саморегуляции эмоциональных и психофизиологических состояний). Саморегуляция в этом случае во многом обусловлена социально-нормативными правилами и жизненным опытом. 3. Психологический уровень: а) способность регулировать деятельность: целеполагание, планирование, разработка необходимых условий для выполнения профессиональной деятельности и пути ее совершенствования
264
эффективность; способность к мониторингу и самоконтролю успешности его реализации (высокий уровень осведомленности на всех этапах профессиональной деятельности: мотив - цель - необходимые условия - курс действий - оценка результата - необходимая коррекция - новый результат); связано с интеллектуальным размышлением; б) способность к саморегуляции и самосовершенствованию (развитие самосознания, самопознания с целью достижения внутренней гармонии, необходимой для успешного осуществления любой профессиональной деятельности). Личная рефлексия играет решающую роль, позволяя понять слабые и сильные черты характера и регулировать личные качества, мотивационные сферы и сферы потребностей в соответствии с требованиями выбранной профессиональной деятельности; связано с личным размышлением; в) способность проявить силу воли, мобилизовать энергию для саморегуляции; включает в себя волевые усилия для достижения цели деятельности и цели самосовершенствования. Способность к саморегуляции личности в развитой форме можно отнести к категории высших саморегуляционных способностей, поскольку она создает условия для духовного развития и самореализации человека в любой деятельности, в том числе в профессиональной деятельности. 4. Духовный уровень - высшая способность к саморегуляции (связана с целостным саморегуляцией на всех уровнях, обусловлена высшими ценностями и смыслами бытия, относится к высшим моральным принципам). Осуществление профессиональной деятельности на этом уровне ориентировано на эволюцию (движение от эгоистичного «я» к духовному «я»). Человек осуществляет свою профессиональную деятельность не из каких-либо материальных стимулов, связанных с вознаграждением, а ради улучшения самой деятельности и, следовательно, самореализации и самореализации в ней. Саморегулирование в этом случае обусловлено ценностью и осмысленной ориентацией человека на то, что его профессиональная деятельность приносит пользу людям и обществу в целом. Осуществление этой деятельности может быть воспринято как бескорыстное служение человечеству. Такие высокие стремления индивида, исключая амбициозные и материальные притязания, автоматически регулируют психоэмоциональное состояние, социальное взаимодействие (поскольку эти устремления основаны на высоких моральных принципах), служат мощным ресурсом интеллектуальной и творческой продуктивности. Необходимо подчеркнуть, что между описанными уровнями нет четких границ, все уровни взаимопроникающие, так как психика человека представляет собой целостную динамическую систему. Сравнивая модели и компоненты саморегуляции, рассмотренные в этой статье, можно сказать, что предлагаемая четырехуровневая модель саморегуляции с соответствующими возможностями саморегуляции имеет сходства и различия в отношении других моделей. Можно видеть в четырехуровневой модели саморегуляции и способностях саморегуляции много общего в отношении компонентов и уровней в других моделях: модель саморегуляции, указывающая на пять уровней: 1) биологический, 2) эмоциональный, 3) познавательный, 4) социальный, 5) просоциальный (Shanker, 2012); компоненты саморегуляции: стандарты, мониторинг, сила (энергия), мотивация, обозначено (Baumeister & Vohs, 2007); семиуровневая модель регулирования (Kaschel & Kuhl, 2004) и т. д., но в обеих моих моделях все эти компоненты и уровни организованы по-разному. Основное отличие состоит в том, что я выделяю и подчеркиваю дополнительный духовный уровень, который может трансформировать все остальные уровни и обеспечить огромную положительную силу или энергию для саморегуляции.
265
Важно подчеркнуть, что четвертый духовный уровень позволяет активировать мощные духовные ресурсы и уменьшить истощение эго. Согласно сильной модели самоконтроля, «принудительное саморегуляция зависит от ограниченного ресурса, который истощается какими-либо актами самоконтроля, вызывая ухудшение последующей работы даже при выполнении других задач самоконтроля» (Baumeister, Vohs, Tice, 2007, p. 351). Добавляя мотивацию к другим компонентам саморегуляции, R. Baumeister & Vohs подчеркивают его важную роль в некоторой степени компенсировать или заменять другие компоненты. «Если мотивация высока, например, если человек действительно и сильно хочет соответствовать какому-либо стандарту, это может компенсировать немного более низкий, чем обычно, уровень силы воли или большую сложность мониторинга» (Baumeister & Vohs, 2007, p. 117). Таким образом, Что касается четырехуровневой модели способности к саморегуляции и саморегуляции, то можно сказать, что если мотивация может быть связана с более высоким духовным уровнем, ее сила возрастает еще больше, а ресурс возможностей саморегуляции становится великолепным. , Предложенная идея об огромном ресурсе четвертого духовного уровня саморегуляции и более высоких способностей саморегуляции может получить поддержку в рамках «теории неограниченных ресурсов», которая, в отличие от «теории ограниченных ресурсов», утверждает, что если люди считают, что сила воли является обширным, обильным (а не сильно ограниченным) ресурсом, они демонстрируют лучшее самоконтроль, когда выполняют сложные задачи (Job, Dweck, Walton, 2010). Это подтверждается экспериментальными исследованиями. Эксперименты показывают, что представления людей о природе силы воли могут ограничивать или облегчать приобретение познавательного навыка (Miller et al., 2012); что люди, используя неограниченную теорию силы воли, хорошо саморегулируются перед лицом высоких требований (Job et al., 2015). Таким образом, скрытые теории, касающиеся силы воли, могут помочь людям укрепить свои ресурсы. Духовный уровень саморегуляции, связанный с бескорыстным служением людям и обществу, может усиливать силу воли и ресурсы, делая их неограниченными, внося огромный вклад в эффективность жизнедеятельности. Вывод 1. Основываясь на теоретическом анализе, Можно сказать, что саморегуляция описывается в западной и российской психологии как целенаправленная контролируемая деятельность человека, а также способность управлять своим психологическим и физиологическим состоянием. Саморегуляция изучается в отношении различных аспектов жизни: управления здоровьем, благополучия, саморегулируемого обучения, профессиональной деятельности и т. Д., С акцентом на различные аспекты: эмоциональный, когнитивный, мотивационный, поведенческий. 2. Саморегуляция в основном представлена через термин «способность» или «способность». Это заставляет исследователей более глубоко учитывать эти термины и описывать возможности саморегуляции более подробно. 3. Многочисленные компоненты, уровни и модели саморегуляции показывают заинтересованность исследователей в изучении этого сложного явления в различных аспектах. Такие компоненты, как мотивация, стандарты (ценности, мораль), постановка целей, разработка необходимых условий для достижения цели, мониторинг и самоконтроль, оценка и исправление результатов, способность демонстрировать силу воли и упорство в достижении целей, являются общими и решающими. , 4. Предлагаемая четырехуровневая модель саморегуляции и четырехуровневая модель возможностей саморегуляции и саморегуляции, в отличие от других моделей, включают в себя более высокую духовную
266
уровень саморегуляции, который связан с высшими моральными принципами и основан на высших ценностях и смыслах бытия. Более высокие (духовные) способности саморегуляции помогают перейти от эгоцентризма к бескорыстному я, высвобождая потенциал энергии для бескорыстного бескорыстного служения обществу. Это может позволить значительно увеличить энергетический ресурс саморегуляции и способствовать повышению производительности и качества жизни человека. Благодарности: Работа выполнена при поддержке гранта RSF (проект № 18-18-00386) Института психологии РАН. ЛИТЕРАТУРА Анохин П. К. (1970). Теория функциональной системы. Успех физиологической науки, 1 (1). Бандура А. (1982). Механизм самоэффективности в человеческом агентстве. Американский психолог, 37, 122—147. Бандура А. и Червоне Д. (1983). Механизмы самооценки и самоэффективности, управляющие мотивационными эффектами систем целей. Журнал личности и социальной психологии, 45, 1017—1028. Бандура А. (1991а). Социально-когнитивная теория саморегуляции. Организационное поведение и процессы принятия решений человеком, 50, 248—287. Бандура, А. (1991b). Саморегуляция мотивации через упреждающие и саморегулируемые механизмы. В РА Dienstbier (ред.), Перспективы мотивации: Небраска симпозиум по мотивации, 38, 69—164. Линкольн: Univ. Небраска Пресс. Бауман Н., Кащел Р. & Куль Дж. (2005). Стремление к нежелательным целям: Стресс-зависимые расхождения между явными и неявными мотивами достижений снижают субъективное благополучие и усиливают психосоматические симптомы. Журнал личности и социальной психологии, 89, 781—799. Baumeister, RF & Vohs, KD (2007). Саморегуляция, истощение эго и мотивация. Компас социальной и психологии личности, (1), 115—128. Baumeister R., Schmeichel B. & Vohs, K. (2007). Саморегуляция и исполнительная функция: Я как контролирующий агент. В AW Kruglanski & ET Хиггинс (ред.), Социальная психология: Справочник основных принципов (Второе издание). Нью-Йорк, США: Guilford Press, 516—539. Baumeister R., Vohs KD & Tice DM (2007). Модель силы самоконтроля. Современные направления в психологической науке. 16, 6, 351—355. Berk, LE (2003). Развитие ребенка. Бостон, Массачусетс: Аллин и Бэкон. Бодров В.А. (2006). Психологический стресс: развитие и преодоление. М .: Пер. (На рус.). Краткий словарь психологических терминов. Полученное из: Компас социальной и психологии личности, (1), 115—128. Baumeister R., Schmeichel B. & Vohs, K. (2007). Саморегуляция и исполнительная функция: Я как контролирующий агент. В AW Kruglanski & ET Хиггинс (ред.), Социальная психология: Справочник основных принципов (Второе издание). Нью-Йорк, США: Guilford Press, 516—539. Baumeister R., Vohs KD & Tice DM (2007). Модель силы самоконтроля. Современные направления в психологической науке. 16, 6, 351—355. Berk, LE (2003). Развитие ребенка. Бостон, Массачусетс: Аллин и Бэкон. Бодров В.А. (2006). Психологический стресс: развитие и преодоление. М .: Пер. (На рус.). Краткий словарь психологических терминов. Полученное из: Компас социальной и психологии личности, (1), 115—128. Baumeister R., Schmeichel B. & Vohs, K. (2007). Саморегуляция и исполнительная функция: Я как контролирующий агент. В AW Kruglanski & ET Хиггинс (ред.), Социальная психология: Справочник основных принципов (Второе издание). Нью-Йорк, США: Guilford Press, 516—539. Baumeister R., Vohs KD & Tice DM (2007). Модель силы самоконтроля. Современные направления в психологической науке. 16, 6, 351—355. Berk, LE (2003). Развитие ребенка. Бостон, Массачусетс: Аллин и Бэкон. Бодров В.А. (2006). Психологический стресс: развитие и преодоление. М .: Пер. (На рус.). Краткий словарь психологических терминов. Полученное из: Самость как контролирующий агент. В AW Kruglanski & ET Хиггинс (ред.), Социальная психология: Справочник основных принципов (Второе издание). Нью-Йорк, США: Guilford Press, 516—539. Baumeister R., Vohs KD & Tice DM (2007). Модель силы самоконтроля. Современные направления в психологической науке. 16, 6, 351—355. Berk, LE (2003). Развитие ребенка. Бостон, Массачусетс: Аллин и Бэкон. Бодров В.А. (2006). Психологический стресс: развитие и преодоление. М .: Пер. (На рус.). Краткий словарь психологических терминов. Полученное из: Самость как контролирующий агент. В AW Kruglanski & ET Хиггинс (ред.), Социальная психология: Справочник основных принципов (Второе издание). Нью-Йорк, США: Guilford Press, 516—539. Baumeister R., Vohs KD & Tice DM (2007). Модель силы самоконтроля. Современные направления в психологической науке. 16, 6, 351—355. Berk, LE (2003). Развитие ребенка. Бостон, Массачусетс: Аллин и Бэкон. Бодров В.А. (2006). Психологический стресс: развитие и преодоление. М .: Пер. (На рус.). Краткий словарь психологических терминов. Полученное из: Современные направления в психологической науке. 16, 6, 351—355. Berk, LE (2003). Развитие ребенка. Бостон, Массачусетс: Аллин и Бэкон. Бодров В.А. (2006). Психологический стресс: развитие и преодоление. М .: Пер. (На рус.). Краткий словарь психологических терминов. Полученное из: Современные направления в психологической науке. 16, 6, 351—355. Berk, LE (2003). Развитие ребенка. Бостон, Массачусетс: Аллин и Бэкон. Бодров В.А. (2006). Психологический стресс: развитие и преодоление. М .: Пер. (На рус.). Краткий словарь психологических терминов. Полученное из:https://vocabulary.ru/slovari/kratkii-slovar - психологических-терминов.html. Cameron D., Webb, Th. (2013). Саморегулируемая способность. Энциклопедия поведенческой медицины, 1757—1759. Получено с: https://link.springer.com/referenceworkentry/10.1007% 2F978-1-4419-1005-9_1177 Carver, CS & Scheier, MF (1998). На саморегуляцию поведения. Кембридж, Великобритания: издательство Кембриджского университета. Cameron, L. & Leventhal, H. (Eds.), (2003). Саморегуляция здоровья и болезни поведения. Американские Психологические Ассоциации. Корно Л. (1989). Саморегулируемое обучение: волевой анализ. В BJ Zimmerman & DH Schunk (Eds.), Саморегулируемая учеба и академические достижения: теория, исследования и практика (стр. 111—141). Нью-Йорк: Спрингер. Словарь социологии.http://enc-dic.com/sociology/Samoreguljacija-8060.html (на русском языке).
267
Diehl, M., Семегон, AB, & Schwarzer, R. (2006). Оценка контроля внимания в стремлении к цели: компонент диспозиционной саморегуляции. Журнал оценки личности, 86, 306—317. Дикая Л.Г. (2003). Психическая саморегуляция функционального состояния человека. М .: Институт психологии, изд. (На рус.). Энциклопедический словарь: психология труда, менеджмент, инженерная психология и эргономика). Получено с: https://vocabulary.ru/slovari/110-enciklopedicheskii-slovar-psihologija-truda- Управление-инженерная-психология-и-эргономика.html. Fischera S. & Munsch S. (2012). Саморегуляция при расстройствах пищевого поведения и ожирении - последствия для лечения. (Английская версия) Verhaltenstherapie, 22, 158—164. doi: 10.1159 / 000341540 Gollwitzer, PM, Fujita, K. & Oettingen, G. (2004). Планирование и реализация целей. В РФ Baumeister & KD Vohs. (Ред). Справочник по саморегуляции (с. 211—228). Нью-Йорк: Гилфорд Пресс. Гонсалес А.М. (2013). Шесть Принципов Саморегулируемого Изучения: Развитие Саморегулируемых Изучающих Языки. Получено с: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article= 5051 & context = etd Gross, JJ (2007). Справочник по регулированию эмоций. Нью-Йорк: Гилфорд Пресс. Gross, JJ & John, OP (2003). Индивидуальные различия в двух процессах регуляции эмоций: последствия для аффекта, отношений и благополучия. Журнал личности и социальной психологии, 85, 348—362. Hofer, J., Busch, H., Krtner J. (2011). Саморегуляция и благополучие: влияние личности и мотивов. Европейский журнал личности, 25, 211-224. Hustad, J., Carey, K. Carey, M. & Maisto, S. (2009). Саморегуляция, потребление алкоголя и его последствия для алкоголиков студентов колледжа: анализ скрытого роста. Журнал исследований по алкоголю и наркотикам, 70 (3), 373—382. Иванников В.А. (2010). Volition. Национальный психологический журнал, 1 (3), 97—102. (На рус.). Job, V., Dweck, CS, & Walton, GM (2010). Истощение эго - это все в твоей голове? Неявные теории о силе воли влияют на саморегуляцию. Психологическая наука, 21, 1686—1693. doi: 10.1177 / 0956797610384745 Job, V., Walton, GM, Bernecker, K. & Dweck, CS (2015). Неявные теории о силе воли предсказывают саморегуляцию и оценки в повседневной жизни. Журнал личности и социальной психологии, 108 (4), 637—647. doi: 10.1037 / pspp0000014 Karoly P. (1993). Механизмы саморегуляции: системный взгляд. Ежегодный обзор психологии, 44, 23—52. Kaschel R. & Kuhl J. (2004). Мотивационное консультирование в расширенном функциональном контексте: теория и оценка взаимодействия систем личности. В WM Cox & E. Klinger (Eds.), Мотивационное консультирование: мотивация людей к изменениям (стр. 99–119). Сассекс: Вайли. Кент, М. (2006). Оксфордский словарь по спортивной науке Медицина (3-е изд.). Оксфорд: издательство Оксфордского университета. Конопкин О.А. (1995). Психическая саморегуляция произвольной деятельности человека. Вопросы психологии, (1), 7—12. (На рус.). Конопкин О.А. (2007). Механизмы сознательной саморегуляции добровольной деятельности человека. В Морозанова В.И. (ред.), Субъект и личность в психологии саморегуляции. Москва, Ставрополь. ПИ РАО, Севкавгту, 12—31. (На рус.). Kuhl, J. (2000). Волевая основа теории взаимодействия систем личности: приложения в контексте обучения и лечения. Международный журнал исследований в области образования, 33, 665—703. Kuhl, J. (2001). Мотивация и персонал. Мотивация и личность: взаимодействие ментальных систем. Геттинген: Хогрефе. Психическая саморегуляция произвольной деятельности человека. Вопросы психологии, (1), 7—12. (На рус.). Конопкин О.А. (2007). Механизмы сознательной саморегуляции добровольной деятельности человека. В Морозанова В.И. (ред.), Субъект и личность в психологии саморегуляции. Москва, Ставрополь. ПИ РАО, Севкавгту, 12—31. (На рус.). Kuhl, J. (2000). Волевая основа теории взаимодействия систем личности: приложения в контексте обучения и лечения. Международный журнал исследований в области образования, 33, 665—703. Kuhl, J. (2001). Мотивация и персонал. Мотивация и личность: взаимодействие ментальных систем. Геттинген: Хогрефе. Психическая саморегуляция произвольной деятельности человека. Вопросы психологии, (1), 7—12. (На рус.). Конопкин О.А. (2007). Механизмы сознательной саморегуляции добровольной деятельности человека. В Морозанова В.И. (ред.), Субъект и личность в психологии саморегуляции. Москва, Ставрополь. ПИ РАО, Севкавгту, 12—31. (На рус.). Kuhl, J. (2000). Волевая основа теории взаимодействия систем личности: приложения в контексте обучения и лечения. Международный журнал исследований в области образования, 33, 665—703. Kuhl, J. (2001). Мотивация и персонал. Мотивация и личность: взаимодействие ментальных систем. Геттинген: Хогрефе. Механизмы сознательной саморегуляции добровольной деятельности человека. В Морозанова В.И. (ред.), Субъект и личность в психологии саморегуляции. Москва, Ставрополь. ПИ РАО, Севкавгту, 12—31. (На рус.). Kuhl, J. (2000). Волевая основа теории взаимодействия систем личности: приложения в контексте обучения и лечения. Международный журнал исследований в области образования, 33, 665—703. Kuhl, J. (2001). Мотивация и персонал. Мотивация и личность: взаимодействие ментальных систем. Геттинген: Хогрефе. Механизмы сознательной саморегуляции добровольной деятельности человека. В Морозанова В.И. (ред.), Субъект и личность в психологии саморегуляции. Москва, Ставрополь. ПИ РАО, Севкавгту, 12—31. (На рус.). Kuhl, J. (2000). Волевая основа теории взаимодействия систем личности: приложения в контексте обучения и лечения. Международный журнал исследований в области образования, 33, 665—703. Kuhl J. (2001). Мотивация и персонал. Мотивация и личность: взаимодействие ментальных систем. Геттинген: Хогрефе. Волевая основа теории взаимодействия систем личности: приложения в контексте обучения и лечения. Международный журнал исследований в области образования, 33, 665—703. Kuhl J. (2001). Мотивация и персонал. Мотивация и личность: взаимодействие ментальных систем. Геттинген: Хогрефе. Волевая основа теории взаимодействия систем личности: приложения в контексте обучения и лечения. Международный журнал исследований в области образования, 33, 665—703. Kuhl J. (2001). Мотивация и персонал. Мотивация и личность: взаимодействие ментальных систем. Геттинген: Хогрефе.
268
Kuhl, J. & Koole, SL (2004). Работа воли: функциональный подход. В J. Greenberg, SL Koole и T. Pyszczynski (Eds.), Справочник по экспериментальной экзистенциальной психологии (стр. 411—430). Нью-Йорк: Гилфорд Пресс. Kuhl, J., Kazyn, M. & Koole, S. (2006). Применение теории саморегулирования на практике: руководство пользователя. Прикладная психология, 55 (3), 408—418. Миллер Е.М., Уолтон Г.М., Двек К.С., Джоб, В., Тжесневский К.Х. и МакКлюр С.М. (2012). Теории силы воли влияют на устойчивое обучение. В JJ Geng (ред.), PLoSОДИН, 7 (6), е38680. doi: 10.1371 / journal.pone.0038680 Леонова А.Б. (2007). Ментальная надежность профессиональных и современных технологий управления стрессом. Вестник Московского Университета. Серия 14. Психология, (3), 69—81. (На рус.). Леонтьев А. Н. (1975). Деятельность. Сознание. Личность. М .: Политиздат, изд. (На рус.). Моросанова В.И. (1998). Индивидуальный стиль саморегуляции: феномен, структура и функции добровольной деятельности человека. М .: Наука, изд. (На рус.). Манн Т., Де Риддер Д. и Фудзита К. (2013). Саморегуляция поведения в отношении здоровья: социально-психологические подходы к постановке целей и достижению целей. Психология здоровья, 32 (5), 487—498. doi: 10.1037 / a0028533 Mischel, W. & Liebert, RM (1966). Влияние расхождений между наблюдаемыми и навязанными критериями вознаграждения на их приобретение и передачу. Журнал личности и социальной психологии, (3), 45—53. Мишель В. и Айдук О. (2004). Сила воли в когнитивно-аффективной системе обработки: динамика задержки удовлетворения. В RF Baumeister & KD Vohs (Eds), Справочник по саморегуляции (стр. 99—129). Нью-Йорк: Гилфорд Пресс. Ochsner, KN & Gross, JJ (2005). Когнитивный контроль эмоций. Тенденции в когнитивной науке, 9, 242—249. Осницкий А.К. (2000). Структура, содержание и функции регулирующего опыта человека. Доктор наук в психологии диссертации. М .: Институт психологии РАН. (На рус.). Ожиганова Г.В. (2010). Психологические аспекты духовности: духовные способности. Психологический журнал, 31 (5), 39—53. (На рус.). Ожиганова Г.В. (2016). Духовные способности как ресурс жизнедеятельности. М .: Институт психологии РАН, изд. (На рус.). Прохоров А.О. (2005). Саморегуляция психических состояний: феноменология, механизмы, законы. Москва, ВЕР. (На рус.). Пригин Г.С. (2009). Психология автономии. Ижевск, Набережные Челны, Институт Управления Публ. (На рус.). Росс Т. и Фонтао М.И. (2006). Саморегуляция и эмоциональный опыт: предварительные выводы о несексуальных и сексуальных преступниках. Лечение сексуального преступника, 1 (2). Полученное из феноменология, механизмы, законы. Москва, ВЕР. (На рус.). Пригин Г.С. (2009). Психология автономии. Ижевск, Набережные Челны, Институт Управления Публ. (На рус.). Росс Т. и Фонтао М.И. (2006). Саморегуляция и эмоциональный опыт: предварительные выводы о несексуальных и сексуальных преступниках. Лечение сексуального преступника, 1 (2). Полученное из феноменология, механизмы, законы. Москва, ВЕР. (На рус.). Пригин Г.С. (2009). Психология автономии. Ижевск, Набережные Челны, Институт Управления Публ. (На рус.). Росс Т. и Фонтао М.И. (2006). Саморегуляция и эмоциональный опыт: предварительные выводы о несексуальных и сексуальных преступниках. Лечение сексуального преступника, 1 (2). Полученное изhttp: //www.sexual - обращение с правонарушителем. org / 17.0.html Ross T. & Fontao, MI (2007). Взаимосвязь саморегуляции и агрессии: эмпирический тест теории взаимодействия систем личности. Международный журнал терапии преступников и сравнительной криминологии, 52 (5). 554-570. Росс Т., Фонтао М.И. и Шнайдер Р. (2007). Агрессивное поведение у мужчин-правонарушителей: предварительный анализ функций саморегуляции в выборке преступников. Психологические отчеты, 100, 1171—1185. Руэда, М.Р., Познер, М.И. и Ротбарт, М.К. (2011). Внимательный контроль и саморегуляция. В RF Baumeister, KD Vohs (Eds.), Справочник по саморегуляции: исследования, теория и приложения (стр. 284—299). Нью-Йорк, Нью-Йорк: Гилфорд Пресс.
269
Шанкер С.Г. (2012). Спокойствие, бдительность и обучение: стратегии в классе для саморегуляции. Pearson). Schunk, DH (1985). Участие в постановке целей: влияние на самоэффективность и навыки обучения детей с ограниченными возможностями. Журнал специального образования, 19, 347—369. Schunk, DH (1990). Постановка целей и самоэффективность при самостоятельном обучении. Педагог-психолог, 25, 71—86. Schunk, DH (2001). Социально-когнитивная теория и саморегулируемое обучение. В BJ Zimmerman и DH Schunk (Eds.), Саморегулируемое обучение и академические достижения. (с. 125—154). Mahwah: Нью-Джерси: Лоуренс Эрлбаум Ассошиэйтс, Инк. Schunk, DH & Zimmerman, BJ (1997). Социальные истоки саморегулируемой компетенции. Педагог-педагог, 32, 195—208. Столин В.В. (1985). Знание себя и отношение к себе в структуре самосознания. Доктор наук в психологии диссертации. Москва. (На рус.). Tittle, CR, Ward, DA, & Grasmick, HG (2003). Самоконтроль и преступность / девиация: когнитивные и поведенческие меры. Журнал количественной криминологии, 19, 333—365. Циммерман, BJ & Ringle, J. (1981). Влияние постоянства модели и заявлений о доверии на эффективность детей и решение проблем. Журнал педагогической психологии, 73, 485—493. Циммерман Б., Боннер С. и Ковач Р. (1996). Цель 1: Понимание принципов саморегулируемого обучения. В «Развитие саморегулируемых учеников: от достижения к самоэффективности» (стр. 5–24). Вашингтон, округ Колумбия: Американская психологическая ассоциация. Циммерман, BJ (2001). Теории саморегулируемого обучения и академических достижений: обзор и анализ. В Zimmerman, BJ & Schunk, DH (Eds.), Саморегулируемое обучение и академические достижения: теоретические перспективы (стр. 1—65). Махва, Нью-Джерси: Лоуренс Эрлбаум Ассошиэйтс, Издательство. Циммерман, BJ (2002). Стать самостоятельным учеником: обзор. Теория на практике, 41 (2), 64—70. © Ожиганова Г.В., 201
Графики изменений частоты встречаемости n-грамм. Основной единицей информации в системе является N-грамма. Под термином N-грамма в данном случае понимают последовательность от одного до пяти слов. Использовать N-граммы более чем из пяти слов не допускается, причем N-грамма должна встречаться в корпусе не менее 40 раз.
По вертикальной оси графика откладывается относительная частота встречаемости заданной N-граммы в данном году, выраженная в процентах. На горизонтальной оси показаны годы, входящие в заданный временной интервал.
Относительная частота встречаемости N-граммы за определенный год подсчитывается следующим образом: число её употреблений в данном году делится на общее число словоупотреблений в корпусе в этом же году. Так, число словоупотреблений слова «slavery» (рабство) в 1861 г. составило 21 460 на 11 687 страницах 1208 книг. Всего в английском корпусе 2009 г. за 1861 год имеется 386 434 758 словоупотреблений, составляет 5.5 Ч 10?5. Результат умножается на 100%. Таким образом, относительная частота встречаемости N-граммы равна 0,0055533307 %. ( J-B. Michel et al, 2011)
[ext[ссылка в библиотеку|file:///D:/BI/S/povr-2015-07-14.pdf]]
* Орехова, Ирина Александровна
* Орехова, И.А. Обучающий потенциал русской языковой среды в формировании лингвокультурологической компетенции иностранных учащихся
*[ext[ссылка НЭБ|https://viewer.rusneb.ru/ru/000199_000009_004306586?page=1&rotate=0&theme=white]]
*[ext[ссылка в Dis8|file:///E:/Dis/Dis8]]
Ворожцова И.Б. Основы лингводидактики
[ext[ссылка|http://philology.bsu.by/documents/%D0%9A%D0%B0%D1%84%D0%B5%D0%B4%D1%80%D0%B0%20%D1%80%D1%8B%D1%82%D0%BE%D1%80%D1%8B%D0%BA%D1%96%20%D1%96%20%D0%BC%D0%B5%D1%82%D0%BE%D0%B4%D1%8B%D0%BA%D1%96%20%D0%B2%D1%8B%D0%BA%D0%BB%D0%B0%D0%B4%D0%B0%D0%BD%D0%BD%D1%8F/%D0%94%D1%8B%D1%81%D1%86%D1%8B%D0%BF%D0%BB%D1%96%D0%BD%D1%8B/%D0%9B%D0%B8%D0%BD%D0%B3%D0%B2%D0%BE%D0%B4%D0%B8%D0%B4%D0%B0%D0%BA%D1%82%D0%B8%D0%BA%D0%B0/2007124.pdf%20%D0%9B%D0%B8%D0%BD%D0%B3%D0%B2%D0%BE%D0%B4%D0%B8%D0%B4%D0%B0%D0%BA%D1%82%D0%B8%D0%BA%D0%B0%20%D0%B8%D0%B7%20%D0%B8%D0%BD%D1%82%D0%B5%D1%80%D0%BD%D0%B5%D1%82%D0%B0.pdf]]
!! Требования журнала
Ссылки на источники оформляются следующим образом:
[1] – ссылка на один источник;
[3; 4; 5] – ссылка на несколько источников;
[7, с. 152] – при прямом цитировании (после кавычек);
[10, с. 124–126] – при ссылке на несколько страниц.
Ссылки нумеруются в строгом порядке от 1 до N. Не приветствуется активное самоцитирование – доля ссылок на предыдущие работы автора должна составлять не более 25 % от общего количества источников.
!! Примеры
Чжэн Чжилянь. Становление образования в контексте взаимодействия культуры Востока и Запада (на материале системы высшего образования в Китае): дис. … канд. филос. наук. – Владивосток: Изд-во ДВГТУ, 2006. – 159 с.
10. Варнавская Е.В. Статус и функционирование эпонимов в медицинской терминологии испанского языка: автореф. дис. … канд. филол. наук. – Воронеж, 2009. – 24 с.
27. Гречаный В.В. Аксиологический аспект философии: дис. … д-ра филос. наук. – Л., 1989. – 413 с.
Козьмин А.О. Семантика настоящего времени в английском и немецком языках: автореф. дис. … канд. филол. наук. – М., 2008. – 20 с.
Спиридонова О.В. Обучение студентов языкового вуза артиклю во французском языке: функционально-парадигматический подход: автореф. дис. … канд. пед. наук. – Н. Новгород, 2009. – 26 с.
Лебедева М.В. Методика обучения грамматической стороне речи студентов-переводчиков с позиций межкультурного общения (на материале сослагательного наклонения): дис. … канд. пед. наук. – Н. Новгород, 2008. – l69 c.
Кузьмин Р.А. Формирование навыка тема-рематического членения высказывания при обучении будущих переводчиков иностранному языку: автореф. дис. … канд. пед. наук. – Н. Новгород, 2019. – 26 с.
8. Матвеева Г.Г. Скрытые грамматические значения и идентификация социального лица («портрета») говорящего: дис. … д-ра. филол. наук. – СПб., 1993.
[[Термины]]
| [[Па]] | [[Пе]] | [[Пи]] | [[Пл]] | [[По]] | [[Пр]] | [[Пс]] |
{{Па}}
[ext[ссылка автореферат|https://vak.minobrnauki.gov.ru/az/server/php/filer_new.php?table=att_case&fld=autoref&key[]=91012&version=100]] Понятие "языковая личность" и проблема социального конструирования реальности.
[ext[ссылка видео защиты|https://yandex.ru/video/preview/?filmId=767171039281806792&text=%D0%9F%D0%B0%D0%BD%D0%B8%D1%82%D0%BA%D0%BE%D0%B2%D0%B0%20%D0%AD%D0%BB%D0%BB%D0%B8%D0%BD%D0%B0%20%D0%AE%D1%80%D1%8C%D0%B5%D0%B2%D0%BD%D0%B0&noreask=1&path=wizard&parent-reqid=1582820688530840-750656953811564124000067-man1-3769&redircnt=1582826446.1]]
* [[Роль языка в конструировании реальности]]
Паниткова Эллина Юрьевна Понятие «языковая личность» и проблема социального конструирования реальности
''Dis2''
[ext[ссылка|https://vak.minobrnauki.gov.ru/az/server/php/filer_new.php?table=att_case&fld=autoref&key[]=91012&version=100]]
[ext[ссылка|https://viewer.rusneb.ru/ru/000199_000009_005530936?page=102&rotate=0&theme=white]]
[ext[ссылка|https://docviewer.yandex.ru/view/34056482/?page=1&*=VlrvCHoDHIVZKGqQ%2Bc%2Ff39N%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%3D%3D&lang=ru]]
Надо отметить, что по смыслу слово «саморегуляция» имеет сходство с «самоуправлением». В то же время эти два понятия не идентичны.
Самоуправление связано с постановкой целей самим субъектом деятельности и общения, с предвидением результатов деятельности и общения. Оно предполагает управление субъектом деятельности собственным поведением в контексте целей некой внешней по отношению к нему деятельности, которая связана с другими субъектами деятельности или общения.
Саморегуляция обозначает направленность действия на того, кто его производит. Объектом регуляции для человека в данном случае являются его собственные поступки и действия, присущие ему психические явления (процессы, состояния, свойства). Именно когда человек регулирует собственную психическую сферу, мы имеем дело с саморегуляцией.
* [[Dis2|Паниткова]]; Паниткова. Понятие "языковая личность" и проблема социального конструирования реальности.
* [[Dis3|Гончарова]]; Гончарова Е.А. Динамические процессы в лексиконе языковой личности
* [[Dis4|Юрьева]]; Юрьева. Лингвориторический идеал как фактор становления профессиональной языковой личности будущего учителя
* [[Dis5|Кубиц]]; Кубиц. Профессионализация языковой личности
* [[Dis6|Ракитина]]; Ракитина. Формирование у учащихся умения принятия решений в современной информационной среде на уроках информатики
* [[Dis7|Бурвикова]]; Бурвикова Е.В. Обучающая языковая среда в гендерном аспекте
* [[Dis8|Орехова]]; Орехова. Обучающий потенциал русской языковой среды в формировании лингвокультурологической компетенции иностранных учащихся
* [[Dis9|Березовская]]; Березовская Я. Организационный дискурс коммерческих фирм
* [[Dis10|Есенина]]; Есенина. Развитие и формирование современной понятийно-терминологической системы профессионального образования России
* [[Dis11|Кичева]]; Кичева И.В. Формирование понятийно-терминологической системы педагогики в 90-е годы XX века
* [[Dis12|Чайникова]];Чайникова Г.Р. Формирование иноязычной речевой лексической компетенции на основе учебного электронного терминологического словаря тезаурусного типа
* [[Dis13|Нестернеко]]; Нестернеко В.М. Проектирование учебно-технической среды профессионально-личностного саморазвития студентов технических вузов
* [[Dis14|Григорьева-Голубева]] Григорьева-Голубева В.А. Становление гуманистических ценностей педагога (в аспекте языковой личности)
* [[Dis15|Кречетников]] Кречетников К.Г. Проектирование креативной образовательной среды на основе информационных технологий в вузе
* [[Dis16|Неверов]] Неверов В.Н. Психологическая структура осознанной саморегуляции учебной деятельности студентов
* [[Dis17|Шилова]] Шилова О.Н. Теоретические основы становления информационно-педагогического тезауруса студентов в системе высшего педагогического образования
* [[Dis18|Монахова]] Монахова Л.Ю. Адаптация информационных технологий к формированию тезауруса у студентов технических вузов
* [[Dis19|Монахова]] Монахова Л.Ю. Информатизация математического образования в системе профессиональной подготовки военных специалистов
* [[Dis20|Дымова]] Дымова Татьяна Владимировна. Обучение будущих учителей педагогическому прогнозированию
*[[Dis21|Дёмина]] Дёмина. Технология формирования языковой профессиональной культуры у выпускников технических вузов
[[Термины]] [[П]]
ПАРЕМИЯ - 1) пословица; высказывание, изречение, суждение, относящееся к пословице; 2) краткое образное устойчивое высказывание (часто, употребляемое в переносном значении), синтаксически оформленное как простое или сложное предложение (иногда может состоять из несколько предложений), отражающее обобщенную формально закрепленную ситуацию, возведенную в формулу, излагающее важную истину, наставление, правила или принципы поведения, нравственные законы, сформулированные на основе жизненного опыта.
Кацюба Л.Б. Определение паремии (лингвистический аспект дефиниции) // Вестник ЮУрГУ. Серия: Лингвистика. 2013. №1. С. 65-67
Условно можно разграничить следующие классификации языковых личностей:
1) человек, для которого общение на родном языке является естественным в его коммуникативной среде;
2) человек, для которого естественным является общение на чужом языке в его коммуникативной среде, например, тот язык, который используют эмигранты, либо люди, длительное время живущие в чужой стране, и т.д.;
@@color:red; 3) человек, который говорит на чужом языке с учёными целями, не относящимися к характеристикам естественной среды общения [Минакова, 2008]. @@ Дис. стр. 17_2
*[[Пермутационный указатель]]
[[Иванова Г.А.]] Педагогические основы формирования языковой личности посредством культуры иноязычного чтения
[ext[ссылка автореферат интернет|https://yadi.sk/i/W9ELNPkDhC0J6Q]]
[ext[ссылка автореферат локальная|D:\BI\a_ivanova_ga.pdf]]
*[[iga_ar]]*[[iga_ar 1]]
*{{iga_ar}}
[[Годунова С.Ю.]] Педагогические условия развития языковой личности студента технического вуза
диссертация на соискание ученой степени кандидата педагогических наук / ГОУВПО "Московский педагогический государственный университет". Москва, 2008
[ext[ссылка new-disser.ru|https://new-disser.ru/product_info.php?products_id=842951]]
| [[Автореферат|gsyu_ar]] | [ext[ссылка автореферат локальная|file:///D:/BI/a_godunova_syu.pdf]] | [ext[ссылка автореферат|https://new-disser.ru/_avtoreferats/01003421681.pdf]] |
| [[Диссертация|gsyu_dis]] | Интернет | Локально |
| |[ext[ссылка pdf|https://yadi.sk/i/GP56V-b49AKBZQ]] | [ext[ссылка в библиотеку pdf|file:///D:/BI/dis_godunova_syu.pdf]] |
| | [ext[ссылка doc|https://yadi.sk/i/ZknERC-Cj3f8VA]] | [ext[ссылка в библиотеку docx|file:///D:/BI/dis_godunova_syu.docx]] |
[[Хлызова Н.Ю.]] Педагогические условия формирования медиакомпетентности вторичной языковой личности
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=1144123]]*[ext[ссылка 2|https://new-disser.ru/_avtoreferats/01004914872.pdf]]
[[hnyu_ar]]**[[hnyu_ar 1]]
---
*{{hnyu_ar_s3_6}}*[[hnyu_ar_s3_6]]
*{{hnyu_ar_s3_7}}*[[hnyu_ar_s3_7]]
*{{hnyu_ar_s3_8}}*[[hnyu_ar_s3_8]]
*{{hnyu_ar_s7_4_1}}* [[hnyu_ar_s7_4_1]]
*{{hnyu_ar_s7_4_2}}* [[hnyu_ar_s7_4_2]]
*{{hnyu_ar_s7_4_3}}* [[hnyu_ar_s7_4_3]]
*{{hnyu_ar_s7_4_4}}* [[hnyu_ar_s7_4_4]]
*{{hnyu_ar_s8_1_1}}* [[hnyu_ar_s8_1_1]]
*{{hnyu_ar_s8_1_2}}* [[hnyu_ar_s8_1_2]]
*{{hnyu_ar_s8_3}}* [[hnyu_ar_s8_3]]
*{{hnyu_ar_s8_4}}* [[hnyu_ar_s8_4]]
*{{hnyu_ar_s8_5}}* [[hnyu_ar_s8_5]]
*{{hnyu_ar_s8_6}}* [[hnyu_ar_s8_6]]
*{{hnyu_ar_s8_7}}* [[hnyu_ar_s8_7]]
*{{hnyu_ar_s9_1}}* [[hnyu_ar_s9_1]]
*{{hnyu_ar_s9_2}}* [[hnyu_ar_s9_2]]
*{{hnyu_ar_s9_3}}* [[hnyu_ar_s9_3]]
[[Птицына И.Ф.]]
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=823415]]*[ext[ссылка 2|https://new-disser.ru/_avtoreferats/01004122281.pdf]]
*[[pif_ar]]**[[pif_ar 1]]
---
* {{pif_ar}}
[ext[ссылка|http://www.publishing-vak.ru/pedagogy.htm]]
возможна публикация научной статьи по педагогике на английском языке.
[ext[рубрики|http://www.publishing-vak.ru/pedagogy-rubric.htm]]
[ext[ссылка|https://bspu.ru/unit/248]]
2.16. Редакция имеет право взимать с авторов оплату за публикации. При этом оплата производится на договорной основе и только после решения редакции о приеме статьи к публикации. Требования к содержанию платной статьи и ее оформлению общие. Публикация оплаченной статьи осуществляется в течение года после положительного решения редакции.
[ext[ссылка|https://journal.iro38.ru/]]
Публикация в журнале является бесплатной.
[ext[ссылка|http://journals.uspu.ru/index.php?option=com_content&view=categories&id=7&Itemid=102]]
Для остальных категорий авторов стоимость публикации статьи составляет 9000 рублей (за одну статью независимо от объема и количества авторов).
Оплата производится в соответствии с договором, который высылается автору после принятии его статьи к печати.
Договор может быть заключен как с автором статьи (физическим лицом), так и с учреждением (юридическим лицом).
Уважаемые авторы! Во втором полугодии 2019 года журнал переходит на периодичность один номер в два месяца
Авторам предлагаются следующие рубрики:
* Приглашённый автор. Open-article
* История образования.
* Стратегия образования.
* Философия образования.
* Теория образования (понятийный аппарат).
* Управление и экономика образования.
* Педагогическая статистика.
* Рецензии.
* Дошкольное образование.
* Школьное образование.
* Профессиональное образование.
* Педагогическое образование.
* Психолого-педагогическое образование.
* Инклюзивное образование.
* Дополнительное образование.
Научные направления
Основная специальность: 13.00.00 Педагогические науки.
Дополнительная специальность: 19.00.00 Психологические науки.
[ext[ссылка|http://www.manpo.ru/manpo/publications/nmj_poin.shtml]]
| Модуль поиска | Заимствования | Самоцитирования | Цитирования | Оригинальность |
| Модуль поиска | Интернет 5.54% | 0% | 0% | 94.46% |
{{Введение А 1 1 1}}
{{13.00.01 А 1 1 1}}
{{13.00.02 А 1 1 1}}
{{13.00.08 А 1 1 1}}
{{Заключение А 1}}
Перейти в режим редактирования
<html>
<head>
<style>
.primer3{
text-transform: uppercase;
font-size: 14px;
}
</style>
</head>
<body>
<div class="primer3">@@color:red; текст вставлять сюда @@</div> в левом окне
</body>
</html>
Перейти в режим редактирования
<head>
<style>
.primer3{
text-transform: uppercase;
font-size: 14px;
}
</style>
</head>
<body>
<div class="primer3">@@color:red; текст вставлять сюда @@</div> в левом окне
</body>
Перейти в режим редактирования
<head>
<style>
.primer2{
text-transform: lowercase;
font-size: 14px;
}
</style>
</head>
<body>
<div class="primer2">@@color:red; текст вставлять сюда@@</div>
</body>
<style>
p {
text-transform: lowercase; /* строчные буквы */
}
</style>
<body>
<p>ТЕКСТ ВСТАВЛЯТЬ СЮДА </p>
</body>
<html>
<head>
<meta charset="utf-8">
<style>
h1 {
text-transform: uppercase; /* Заглавные буквы */
}
p {
text-transform: lowercase; /* строчные буквы */
}
</style>
</head>
<body>
<h1>перевод в заглавные буквы</h1>
<p>ПЕРЕВОД В СТРОЧНЫЕ БУКВЫ </p>
</body>
</html>
*[ext[ссылка html5|http://htmlbook.ru/css/text-transform]]
*[ext[ссылка html|https://ru.texthandler.com/text-tools/letter-case-converter/]]
<html>
<head>
<meta charset="utf-8">
<style>
p {
text-transform: lowercase; /* строчные буквы */
}
p1 {
text-transform: uppercase; /* Заглавные буквы */
}
</style>
</head>
<body>
<h1>Перевод в Заглавные и строчные </h1>
<p>ПЕРЕВОД пппп СССС СТРОЧНЫЕ БУКВЫ </p>
<p1>Перевод пппп в заглавные </p1>
</body>
</html>
ПЕРМУТАЦИОННЫЙ УКАЗАТЕЛЬ ИНФОРМАЦИОННО-ПОИСКОВОГО ТЕЗАУРУСА - указатель, в котором в алфавитном порядке перечислены все отдельные слова - компоненты словосочетаний, обозначающих дескрипторы, и для каждого из них указаны все дескрипторы, в состав которых входят эти слова.
Примечание - Пермутационный указатель обеспечивает поиск дескрипторов-словосочетаний по любому слову, входящему в их состав
[[ГОСТ 7.74-96]]
*[[Персоналии А]]
*[[Персоналии Б]]
*[[Персоналии В]]
*[[Персоналии Г]]
*[[Персоналии Д]]
*[[Персоналии Е]]
*[[Персоналии З]]
*[[Персоналии И]]
*[[Персоналии К]]
*[[Персоналии Л]]
*[[Персоналии М]]
*[[Персоналии Н]]
*[[Персоналии О]]
*[[Персоналии П]]
*[[Персоналии Р]]
*[[Персоналии С]]
*[[Персоналии Х]]
*[[Персоналии Ч]]
*[[Персоналии Ц]]
*[[Персоналии Ю]]
*[[Персоналии Я]]
*[[Абдулмянова И.Р.]]
* [[Авдеева И.Б.]]
* [[Андреева С.М.]]
* [[Башкова И.В.]]
* [[Бурденюк Г.М.]]
* [[Берг и Кит]]
* [[Велединская С.Б.]]
* [[Васильева Т.В.]]
* [[Ворожбитова А.А.]]
* [[Гафиятова|Гафиятова Э.В.]] Э.В.
* [[Годунова]] С.Ю. [[gsyu]]
* [[Голованова]] Е.И.
* [[Гуц|Гуц Е.Н.]] Е.Н.
* [[Григорьева-Голубева]]
* [[Головин]] Г.В.
* [[Дрянгина Е.А.]]
* [[Дацун]] Н.А.
* [[Дорожкина]] Т.Н.
* [[Дерябина]] Н.А.
* [[Золотова Е.С.]]
* [[Зыкова Е.В.]]
* [[Иванцова Е. В.]]
* [[Иванова Ю.Н.]]
* [[Иванова М.А.]]
* [[Иванова Г.А.]]
* [[Караулов]]
* [[Карасик]]
* [[Киндеркнехт]]
* [[Колясева]]
* [[Козырев]]
* [[Кубиц Г.В.]]
* [[Кузнецова Л.Н.]]
* [[Крайникова]]
* [[Мыскин С.В.]]
* [[Мордас С.Б.]]
* [[Паниткова]]
* [[Пугачев]]
* [[Птицына И.Ф.]]
* [[Пивкин]] С.Д.
* [[Ружицкий]]
* [[Рякина]]
* [[Рязанцева Т. И.]]
* [[Сахарова]]
* [[Смыкунова Н.В.]]
* [[Халеева]]
* [[Халяпина Л.П.]]
* [[Хлызова]] Н.Ю.
* [[Юшкова]]
* [[Юрьева А.В.]]
[ext[ссылка|https://vva.mil.ru/upload/site21/document_file/uiFExmmeAO.pdf]] стр. 21 - 23 [[Персональные образовательные среды 0]]
УДК 378.147
М.В. КИРГИНЦЕВ, С.А. НЕЧАЕВ
ВУНЦ ВВС «ВВА им. проф. Н.Е. Жуковского и Ю.А. Гагарина» (г. Воронеж)
ПЕРСОНАЛЬНЫЕ ОБРАЗОВАТЕЛЬНЫЕ СРЕДЫ
Образовательные среды являются обязательным атрибутом любого учебного заведения. Образовательные среды являются элементами других сред, например социокультурной среды и в общем случае являются совокупностью "...социальных, культурных, а также специально организованных в образовательном учреждении психолого-педагогических условий" [[[1]|https://cyberleninka.ru/article/n/obrazovatelnaya-sreda-ponyatie-struktura-tipologiya]]. Среда обеспечивает функционирование всех составляющих частей сложного организма учебного заведения, создавая условия для организации и осуществления образовательного процесса. В свою очередь образовательная учебного заведения состоит из большого количества образовательных сред взаимодействующих друг с другом. Несмотря на то что «любая типология образовательной среды условна» [1, с.136], в образовательной среде вуза можно выделить такие среды как: информационнные образовательные среды, личная образовательная среда, персональные образовательные среды.
Следует отметить что до настоящего времени у отечественных и зарубежных исследователей нет единого понимания того, что такое персональная образовательная среда[[[2]|https://ido.tsu.ru/files/pub2016/int_ple.pdf]].
Например в работе [[[3]|https://cyberleninka.ru/article/n/kontseptsiya-proektirovaniya-personalnoy-obrazovatelnoy-sredy]] приводятся подходы к определению персональной образовательной среды в работах различных исследователей: по мнению Леденева, А.В. персональная образовательная среда это технология; по мнению Ю Духнич - это система обучения; по мнению M. Harmelen - это дидактическая модель]; по мнению M.A. Chatti - это конструкт; по мнению M. Martin - это концепция.
Такое разнообразие взглядов на рассматриваемое явление тормозит развитие теории и практики средового подхода к образовательному процессу. Решением проблемы может быть использование адекватной модели персональной образовательной среды и её взаимодействия с другими конструктами средового подхода.
Рассмотрим модель, которая на наш взгляд позволяет определить положение персональной образовательной среды среди родственных понятий, приведенную в работе А.В. Слепухина [4].
А.В. Слепухин отмечая широкое использование таких понятий как персональное информационное рабочее пространство, персональная образовательная среда, персональная среда обучения, персональная учебная среда. личная образовательная среда делает вывод что "наблюдается неоднозначность понимания сущности рассматриваемых терминов" и далее "понятия личной, индивидуальной, персональной образовательных сред и сред обучения, чаще всего, рассматриваются как синонимичные" [4, c. 197]
В своей работе А.В. Слепухин делает попытку упорядочить такие понятия как личная, персональная, индивидуальная образовательная среда с уточнением отношения их к обучающемуся и выделяя особенности рассматриваемых понятий[[[4]|https://cyberleninka.ru/article/n/ispolzovanie-personalnoy-obrazovatelnoy-sredy-v-protsesse-individualizatsii-smeshannogo-obucheniya-studentov]].
При этом он формирует иерархическую модель в которой наиболее общей категорией является информационное пространство. В данном пространстве размещаются информационно-коммуникационная образовательная среда, персональное информационное рабочее пространство и индивидуальное информационное пространство. При этом последние в основном находятся внутри информационно-коммуникационной образовательной среды пересекаются между собой и частично выходят в информационное пространство. Персональное информационное рабочее пространство полностью включает в себя персональную образовательную среду и частично индивидуальную образовательную среду. Аналогично индивидуальное информационное пространство полностью включает в себя индивидуальную образовательную среду и частично персональную образовательную среду. Следует отметить что индивидуальная образовательная среда и персональная образовательная среда также частично пересекаются. Персональная образовательная среда содержит персональную учебную среду а индивидуальная образовательная среда - индивидуальную среду обучения. Персональная учебная среда и индивидуальная среда обучения частично пересекаются в общей области сред более высокого порядка.
Личная учебная среда пересекает персональную учебная среду и индивидуальную среда обучения а также общую
область информационных пространств.
Основу персональной образовательной среды составляет «...совокупность компонентов образовательного процесса ... адаптированные к целями, содержанием и планируемыми результатами обучения, потребностями и способностями обучаемого» [4, C.198]. Очевидно, что в зависимости от типа учебного заведения, элементы, входящие в состав данной модели, будут меняться. Поэтому нельзя говорить о какой-то единой стандартной персональной среде. Следует разрабатывать различные варианты персональных образовательных сред, адекватных элементам информационной образовательной среды конкретного образовательного учреждения. Будут изменятся такие компоненты образовательного процесса как содержание образовательного процесса, организационные формы и методы обучения. Доступ к информационным ресурсам может меняться от полностью открытого режима, до ограничения по выходу во внешнюю среду. В этом случае возникает проблема регулирования информационного взаимодействия с внешней информационным пространством. В зависимости от типа учебного заведения будут использоваться адекватные средства учебной деятельности и учебной коммуникации, к которым относятся такие инструменты персональной образовательной среды как: поисковые системы, органайзеры, публикационные инструменты, коммуникативные инструменты, сервисы кооперации, образовательные платформы.
Таким образом, персональная образовательная среда, являясь элементом персонального информационного рабочего пространства и отчасти индивидуального информационного пространства, представляет собой базис персональной учебной среды и отчасти индивидуальной среды обучения, а также личной учебной среды. Структура и элементы конкретной персональной образовательной среды определяются типом учебного заведения.
СПИСОК ЛИТЕРАТУРЫ
```
1 Тарасов С. В. Образовательная среда: понятие, структура, типология // Вестник ЛГУ им. А.С. Пушкина. 2011. №3. С. 133-138
2 Захарова У.С., Сербин В.А., Фещенко А.В. Интеграция персональных учебных сред с LMS MOODLE. //Открытое и дистанционное образование. 2016. № 4 (64). С. 44-52.
3 Ксенофонтова А.Н., Леденева А.В. Концепция проектирования персональной образовательной среды // Вестник ОГУ. 2016. №8 (196). С. 27-32.
4 Слепухин А.В. Использование персональной образовательной среды в процессе индивидуализации смешанного обучения студентов // Педагогическое образование в России. 2014. №11. С. 195-205
```
[ext[ссылка|https://vva.mil.ru/upload/site21/document_file/uiFExmmeAO.pdf]] стр. 21 - 23
УДК 629.7
И.Ф. ГАМАЮНОВ, Н.А. ПОНОМАРЕВ, А.А. КОПЫЛОВ, Я.И.ЗАГОРОДНИЙ
ВУНЦ ВВС «ВВА им. проф. Н.Е. Жуковского и Ю.А. Гагарина» (г. Воронеж)
АЛГОРИТМ ОПРЕДЕЛЕНИЯ СТОЯНОЧНОГО КУРСА САМОЛЕТА НА АЭРОДРОМАХ С ОТСУТСТВУЮЩИМ ТОПО-ГЕОДЕЗИЧЕСКИМ ОБЕСПЕЧЕНИЕМ
Авиация является маневренным видом Вооруженных Сил, способ-ным в короткие сроки переносить свои действия с одного оперативного направления на другое. Запасные аэродромы могут оборудоваться на раз-личных равнинных участках местности, которые соответствуют необходи-мойдлине пробега для взлета конкретного типа самолета с расположением на них всех необходимых средств инженерно-авиационного обеспечения. Запасные аэродромы, не оборудованные средствами топогеодезического обеспечения, обеспечивают скрытность, сосредоточение авиации и непо-средственную приближенность к району боевых действий.
С целью сокращения сроков подготовки воздушного судна к полету необходимо уменьшать сроки выставки курсовых и инерциальных систем. В статье рассматривается алгоритм определения стояночногокурса само-лета на аэродромах с отсутствующим топогеодезическим обеспечением на основе созданных маркированных точек.
Технология создания маркированной точки для неавтономных мето-дов определения стояночного курса самолета на аэродромах с отсутству-ющим топогеодезическим обеспечением с помощью спутникового прие-моиндикатора обеспечивает решение ряда задач, таких как
:-повышение точности определения стояночного курса самолета за счет снижения погрешностей при создании маркированных точек;
22
-возможность выполнения работ по определению маркированных точек непрофильными специалистами, не имеющими специальных навы-ков проведения топогеодезической привязки;-
снижение стоимости, трудоёмкости и временных затрат при созда-нии маркированных точек.На начальном этапе выбирают место для создания маркированной точки и задаются требуемой точностью ее координат.
Затем навигационный приемник устанавливается над предполагае-мой маркированной точкой, включается его питание.На следующем этапе запускается специализированное программное обеспечение, позволяющее определять координаты пользователя, геомет-рические факторы, номер навигационного спутника и уровень его сигнала, визуализировать расположение видимых навигационных спутников на небесной сфере, среднеквадратичное отклонение плановых координат и высоты.
В тот момент, когда точность определения координат маркированной точки достаточна, оператор принимает решение на окончание измерений. Координаты вновь созданной маркированной точки запоминаются в нави-гационном приемнике. Навигационный приемник выключается, на месте стоянки авиационной техники краской наносится маркированная точка.
Рассмотрим алгоритм определения стояночного курса самолета по вновь созданным маркированным точкам, который включает:
1. Самолет устанавливается над маркированной точкой таким обра-зом, чтобы вертикальная ось теодолита проходила через нее. Азимут ори-ентира относительно маркированной точки известен.
2. Теодолит устанавливается на ЛА с помощью специальных крепле-ний, обеспечивающих совпадение нулевой отметки на шкале теодолита с направлением продольной оси ЛА.
3. С помощью теодолита измеряется курсовой угол ориентира КУОр. После этого стояночный курс ЛА определяется по формулеΨст = А –КУОр.
4. Определив значение стояночного курса, осуществляется выставка гироплатформы в азимуте.
Достоинство применяемого подхода состоит в надежности топопри-вязки, гибкости, оперативности, высокой производительности исследова-ний при малой трудоемкости за счет автоматизации работ на всех этапах.
Таким образом, предлагаемый подход обладает рядом достоинств:
–самолет не обязательно двигать под разметку;
–размер и вес спутникового приемника гораздо меньше теодолита;
–ориентир и азимут ориентира относительно маркированной точки не нужны;
–низкие требования к квалификации специалиста.
СПИСОК ЛИТЕРАТУРЫ
1 Бронников А.М., Круглов С.П. Пилотажно-навигационные ком-плексы. Курс лекций.ИВАИИ, 2002.
23
2 Петров А.И., Харисов В.Н. ГЛОНАСС. Принципы построения и функционирования. М.: Радиотехника, 2010. 800 с.
3 Соловьев Ю.А. Системы спутниковой навигации. М.: Эко-Трендз, 2000. 352
[ext[ссылка|https://moofrnk.com/perspektivy-nauki]]
Редакционная коллегия направляет присланные статьи на рецензирование ведущим специалистам по указанным направлениям.
Оплата редакционно-издательских услуг - 1000 руб. за 1 страницу. Минимальное количество страниц – 6. Годовая подписка на журнал составляет 3000 руб. за 12 номеров + 1200 руб. за доставку 12 номеров по России.
Стоимость отправки одной бандероли (не более 1 сборника в одном почтовом отправлении на один почтовый адрес): по России - 200 руб. 00 коп., страны ближнего зарубежья (СНГ) - 500 руб. 00 коп., страны дальнего зарубежья - 800 руб. 00 коп.
[ext[ссылка|https://pnojournal.wordpress.com/add/]]
[ext[ссылка |https://cyberleninka.ru/article/n/perspektivy-rannego-formirovaniya-vtorichnoy-yazykovoy-lichnosti-v-situatsii-iskusstvennogo-bilingvizma-sotsialnyy-aspekt]]
[[Пивкин С.Д.]] [[Самореализация языковой личности переводчика в системе дополнительного профессионального образования]]
[[psd_ar 1]]
# САМОРЕАЛИЗАЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ ПЕРЕВОДЧИКА В СИСТЕМЕ ДОПОЛНИТЕЛЬНОГО ПРОФЕССИОНАЛЬНОГО ОБРАЗОВАНИЯ [[Пивкин]] Сергей Дмитриевич диссертация на соискание ученой степени доктора педагогических наук / ГОУВПО "Ульяновский государственный университет". Ульяновск, 2012 13.00.08
[ext[ссылка|https://new-disser.ru/_avtoreferats/01005090847.pdf]]
[ext[ссылка|https://static.freereferats.ru/_avtoreferats/01005090847.pdf]]
---
!! [[Автореферат|АвторефератПивкинСд]]
[ext[ссылка автореферат локально|file:///D:/BI/a_pivkin_sd.pdf]]
[ext[ссылка автореферат интернет|https://new-disser.ru/_avtoreferats/01005090847.pdf]]
!! [[Диссертация|Самореализация языковой личности переводчика в системе дополнительного профессионального образования]]
[[СодержаниеДисПивкинСд]]
[ext[ссылка диссертация pdf локально|file:///D:/BI/dis_pivkin_sd.pdf]]
[ext[ссылка диссертация docx локально|file:///D:/BI/dis_pivkin_sd.docx]]
---
Статья
Лингводидактика о тезаурусе языковой личности
[ext[ссылка|https://cyberleninka.ru/article/n/lingvodidaktika-o-tezauruse-yazykovoy-lichnosti]]
Лингводидактическое представление самореализации языковой личности
[ext[ссылка|http://old.kpfu.ru/f17/k3/docs/obr-15.pdf]]
[ext[ссылка|http://www.emissia.org/]]
| Для всех категорий авторов, за исключением аспирантов очной формы обучения | одна неделя с момента заключения договора | 6200 руб |
Плаксина Вера Александровна
!! КЛАСТЕРНАЯ ОРГАНИЗАЦИЯ КОНЦЕПТА «ЛИЦЕМЕРИЕ / HYPOCRISY»
[ext[ссылка|https://cyberleninka.ru/article/n/klasternaya-organizatsiya-kontsepta-litsemerie-hypocrisy]]
В.А. Плаксина. Кластерная организация концепта «лицемерие / hypocrisy»
```
Плаксина Вера Александровна Кластерная организация концепта «Лицемерие / hypocrisy» // Вестник ВолГУ. Серия 2: Языкознание. 2017. №3. URL: https://cyberleninka.ru/article/n/klasternaya-organizatsiya-kontsepta-litsemerie-hypocrisy (дата обращения: 27.01.2020).
```
Вера Александровна Плаксина
Адыгейский государственный университет, г. Майкоп, Российская Федерация
```
Цитирование. Плаксина В. А. Кластерная организация концепта «лицемерие / hypocrisy» // Вестник Волгоградского государственного университета. Серия 2, Языкознание. - 2017. - Т. 16, № 3. - С. 221-226. -DOI: https://doi.Org/10.15688/jvolsu2.2017.3.23
```
<center>1</center>
Концептуальный анализ, которому посвящено большое количество теоретических трудов (см., например: [Бабушкин, 2001; Воркачев, 2004; Демьянков, 2001; Иная ментальность, 2005; Степанов, 2007; Fodor, 1998; Talmy, 2001; Taylor, 1988] и др.), в современной лингвистике представляет собой один из актуальных подходов в описании языковой картины мира.
Разновидностью концептуального анализа является кластерный анализ, цель которого состоит в установлении структуры картины мира в различных лингвокультурах. В основе кластерного анализа лежит представление о том, что каждый фрагмент картины мира репрезентируется определенной совокупностью лексем различной стилистической отнесенности. Этот набор именуется термином «кластер» (англ. cluster - кисть; рой), заимствованным лингвистикой из технологической сферы, где он толкуется как совокупность однотипных объектов, ср.:
- A group of things of the same type that grow or appear close together (Oxford Advanced Learners Dictionary, p. 283)
- A group of people, animals or things close together (Oxford Advanced Learners Dictionary, p. 283).
Лингвистическое объяснение кластера предлагает Н.Г. Комлев, считая его последовательностью, цепочкой языковых элементов, имеющих ряд общих черт [Комлев, 1995, с. 57].
По определению А.Т. Хроленко, «кластер» - объединение языковых элементов, обладающих несколькими общими признаками, кластер как сегмент некоего информационного пространства (например, текста), вычлененный на основании семантически и / или функционально связанных между собой слов, репрезентирующих тот или иной фрагмент картины мира [Хроленко, 2000, с. 34].
Кластерный принцип описания предполагает анализ всех входящих в кластер лексем с одновременной установкой важнейших логических, парадигматических, синтагматических и словообразовательных связей слова с други-
ми, представляющими фрагмент картины мира. Если в кластере больше одного концепта, в нем можно выделить субкластеры. Исследовательская ценность кластеров заключается в том, что их можно сравнивать. Кластерный подход - это лексикографическое описание всех входящих в кластер лексем с параллельным установлением всех связей каждого слова с остальными словами, репрезентирующими один и тот же фрагмент картины мира.
Под кластерным концептом мы, вслед за А.З. Хусаеновой, понимаем такие концепты, при анализе которых можно выделить отдельные признаки, встречающиеся в виде комбинаций или пучков (cluster), и ни один из этих признаков не является обязательным, хотя все они существенны. При этом особенность кластерного концепта в том, что он актуализируется в сознании носителей языка как единое целое, а не путем синтеза тех признаков, которые его характеризуют. Соответственно, выделение признаков возможно только при лингвистическом анализе [Хусаенова, 2008, с. 301].
Как отмечает Р. Джакендофф, наличия двух признаков уже достаточно для того, чтобы концепт можно было охарактеризовать как кластерный, в том случае, если ни один из этих признаков не является обязательным [Jackendoff, 1996, p. 26].
Целью данной статьи является исследование концепта «лицемерие / hypocrisy», а именно выделение кластеров и субкластеров данного концепта.
<center>2</center>
Рассматриваемый концепт входит в число базовых концептов английской и русской лингвокультур, отражает социально значимые отношения между членами социума и является онтологическим по своей сущности.
Лицемерие как культурная универсалия играет важную роль в любом обществе и на любом этапе его развития и поэтому находит множественное воплощение в языковой семантике и коммуникативной деятельности. Однако специфика существования концепта «лицемерие / hypocrisy» в наивно-языковом сознании еще
недостаточно изучена, поэтому определение его структуры и места в различных языковых картинах мира представляется актуальным.
При проведении кластерного анализа исследуемого концепта были последовательно выполнены следующие процедуры:
1) отбор материала для кластеризации, который составили 830 контекстов из Национального корпуса русского языка и British National Corpus;
2) выявление признакового единства, осуществленное на основе исследования лексикографических данных (процедура выполнена за пределами данной статьи);
3) категоризация объектов и создание групп по сходным признакам;
4) верификация полученных результатов на основе количественных данных.
Структура концепта «лицемерие / hypocrisy» обнаруживает общность в русской и английской лингвокультурах, ее формируют следующие кластеры и субкластеры:
- кластер «мимикрия / mimicry» (субкластеры: хитрость, подражание, притворство, лукавство, коварство, корысть, конспирация, цинизм, блеф, charade, concealment, deceit, deception, depiction, disguise, faking, farce, guise, imitation, mockery и др.);
- кластер «конформизм / conformity» (субкластеры: лесть, подхалимаж, раболепие, угодничество, лакейство, низкопоклонство, пресмыкательство, прислужничество, abidance,
accordance, keeping, manageability, compliance, obedience и др.);
- кластер «религиозное лицемерие / religious hypocrisy» (субкластеры: фарисейство, пустосвятство, святошество, ханжество, иезуитство, cant, casuistry, censoriousness, duplicity, false, modesty, hypocrisy и др.);
- кластер «вежливость / politeness » (субкластеры: галантность, деликатность, корректность, любезность, обходительность, приветливость, приличие, пристойность, тактичность, учтивость, formality, gallantry, affability, ceremoniousness, politesse и др.).
Наглядно эта структура представлена на рисунке 1.
<center>3</center>
Проиллюстрируем применение описанных выше процедур кластерного анализа на примере кластера «мимикрия / mimicry». На основании данных, извлеченных из Национального корпуса русского языка и British National Corpus, был составлен полный перечень лексических единиц, актуализирующих кластер (280 лексических единиц). Затем были отобраны наиболее употребительные единицы русского и английского языков (19 и 20 соответственно), входящие в исследуемый кластер и формирующие субкластеры (см. рис. 2 и 3; количеству словоупотреблений соответствуют цифры на оси Х).
[img[плаксинарис1.png]]
Рис. 1. Кластерная структура концепта «лицемерие I hypocrisy»
актерство блеф двуличие деланность коварство комедиантство конспирация криводушие лицедейство личина лукавство миметизм неискренность подражательство притворство симуляция скрытие хитрость цинизм
[img[плаксинарис2.png]]
Рис. 2. Количественное соотношение единиц актуализации кластера «мимикрия» в русском языке
[img[плаксинарис3.png]]
Рис. 3. Количественное соотношение единиц актуализации кластера «mimicry» в английском языке
Необходимость такого отбора была обусловлена наличием большого количества производных, а также полисемичных слов. Проведенный отбор позволил свести к минимуму возможные погрешности, вызванные тем, что отдельные слова в одном из своих значений употребительны в других дискурсах и не являются единицами кластера «мимикрия» / mimicry», актуализирующими концепт «лицемерие / hypocrisy». Например, слова камуфляж и комедия в значениях «маскировка, состоящая в окраске предметов» и «драматическое произведение с веселым, смешным или сатирическим сюжетом» не репрезентируют концепт «лицемерие / hypocrisy».
<center>4</center>
Количественные показатели употребительности лексем, представленные на рисунках 2 и 3, демонстрируют сходства и различия в актуализации концепта «лицемерие / hypocrisy» в русской и английской языковой картине мира, что требует отдельного подробного анализа.
Полученные данные составляют базу как для дальнейших исследований кластерного концепта «лицемерие / hypocrisy» в отдельной лингвокультуре, так и для выявления универсальных и специфических способов актуализации описываемых концептов в различных языковых картинах мира, связанных со структурой концепта, возможностью организации кластера, стабильностью кластерного концепта и т. д. Интерес представляет также вопрос о взаимоотношении признаков внутри кластера и возможности построения иерархии этих признаков.
<center>СПИСОК ЛИТЕРАТУРЫ</center>
```
Бабушкин, А. П. Концепты разных типов в лексике и фразеологии и методика их выявления / А. П. Бабушкин // Методологические проблемы когнитивной лингвистики / под ред. И. А. Стерни-на. - Воронеж : Изд-во ВГУ, 2001. - С. 52-57.
Воркачев, С. Г. Счастье как лингвокультурный концепт / С. Г. Воркачев. - М. : Гнозис, 2004. - 236 с.
Демьянков, В. З. Понятие и концепт в художественной литературе и в научном языке / В. З. Демьянков // Вопросы филологии. - 2001. - № 1. -С. 35-47.
Иная ментальность / В. И. Карасик, О. Г. Про-хвачева, Я. В. Зубкова, Э. В. Грабарова. - М. : Гнозис, 2005. - 352 с.
Комлев, Н. Г. Словарь новых иностранных слов (с переводом, этимологией и толкованием) / Н. Г. Комлев. - М. : Изд-во МГУ 1995. -144 с.
Степанов, Ю. С. Концепты. Тонкая пленка цивилизации / Ю. С. Степанов. - М. : Языки славянских культур, 2007. - 246 с.
Хроленко, А. Т. Лингвокультуроведение / А. Т. Хроленко. - Курск : Крона, 2000. - 167 с.
Хусаенова, А. З. Понятие кластерного концепта и методика его изучения / А. З. Хусаенова // Известия Российского государственного педагогического университета им. А.И. Герцена. - 2008. -Вып. 67. - С. 300-303.
Fodor, J. Concepts: Where Cognitive Science Went Wrong / J. Fodor. - Oxford : Clarendon Press, 1998. - 192 p.
Jackendoff, R. Languages of the Mind. Essays on Mental Representation / R. Jackendoff. -Cambridge ; London : The MIT Press, 1996. - 199 p.
Talmy, L. Toward a Cognitive Semantics : in 2 vols. Vol. II / L. Talmy. - Cambridge, MA : MIT Press, 2001. - 573 p.
Taylor, J. R. Linguistic Categorization: Prototypes in Linguistic Theory / J. R. Taylor. - Oxford : Clarendon Press, 1988. - 328 p.
СЛОВАРИ
Oxford Advanced Learners Dictionary / ed. by A. S. Hornby. - 7th edition. - Oxford : University Press, 2005. - 1952 p.
```
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
iVBORw0KGgoAAAANSUhEUgAAAksAAAG9CAYAAAAFnjKbAAAgAElEQVR4nOzd93dTZ5748e//s2fP/rBn9oedzO7szKZMhkkyOcmEEGAykDCBQGg2JtTQDLjjAsbd2GDc5N67weXaYNxw773LlmQ1S3p/f8ixDpmEXCcRFzH7eZ/znAQj6bm6juxXdK/u8/+QJEmSJEmSntv/e9kbIEmSJEmS5M0JliRJkiRJkn4kwZIkSZIkSdKPJFiSJEmSJEn6kQRLkiRJkiRJP5JgSZIkSZIk6UcSLEmSJEmSJP1IgiVJkiRJkqQfSbAkSZIkSZL0IwmWJEmSJEmSfiTBkkp6vZ78/HwKCgooKyuTIUOGDBkyXplRUlJCXl4es7OzOByOl/0r9ZVNsKTS/Pw8sbGx5OXl0dnZKUOGDBkyZLwyo7m5mdDQUAYGBtjY2HjZv1Jf2QRLKi0uLpKWlsajR49wuVwve3MkSZIkacutrq4SGRkpWPqFCZZUEixJkiRJr2qCJc8kWFJJsCRJkiS9qgmWPJNgSSXBkiRJkvSqJljyTIIllQRLkiRJ0quaYMkzCZZUEixJkiRJr2qCJc8kWFJJsCRJkiS9qgmWPJNgSSXBkiRJkvSqJljyTIIllQRL3tH09DR9fX309fXJlWglSZK2mGDJMwmWVBIseUfFxcVERkYSGRnJrVu3qK2t1Xwb1tbWiI2NJTY2FrPZrPn85eXlxMbG0tHRoem8drud3t5e8vPzNZ13s5SUFGJjY5mbm9N8bkVRiI2Npb6+XvO59Xo9sbGxxMXFYbVaNZ17fX2doqIiBgYGNJ0XoLe3l9jYWAoLCzWf2+l0kpycTGxsLAsLC5rP39TURGtrq0cfU7DkmQRLKgmWvKOFhQXGx8cZHx+ntLSUgoICzbdhZWUFf39//P39WV9f13z+rKws/P39aWpq0nRem83GkydPuHPnjqbzbhYaGoq/vz+Tk5Oaz11VVYW/vz9FRUWaz720tIS/vz9Xr17VHOcGg4G7d+/S2dmp6bwAT548wd/fn9TUVM3ndjqdBAcH4+/vz/T0tObzV1RUePx/BAVLnkmwpJJgyftSFEWwpGGCJcGSlgmWBEvemGBJJcGS9yVYEixplWBJsKRlgiXvTbCkkmDJ+xIsCZa0SrAkWNIywZL3JlhSSbDkfSmKQnR0NCUlJapjYmLCY/MKlgRLWiZYEix5IsGSZxIsqSRY8r4URcHPz4/du3erjpqaGo/NK1gSLGmZYEmw5IkES55JsKTSq4yl1dVVpqenmZubw2QyYbfbWVhYYHJyEovFwvz8PMvLy0xOTjIxMcHk5CSTk5MYDAYsFgtzc3NMTU1hNBpxOp2srKwwPz/P+Pg4o6OjWCwWXC4Xa2trTE5OMj8/j9FoZHFxkenpaUZHR5mensZgMDA7O+t+/LW1NRwOBw6Hg9XVVSYnJ5mbm9vytZM2sbRr1y7VUVNTg8vl8sj3TrAkWNIywZJgyRMJljyTYEmlVxVLdrudBw8ekJmZSXZ2No2NjayurlJZWcmNGzeYnJxEp9NRV1dHdnY28fHxJCUlkZaWRltbG319fRQWFpKamkpxcTHr6+tUV1eTkJDAnTt38Pf3p62tjYmJCVpbW8nOziYvL4/GxkZqa2vJzc3lypUrlJeX097eTlZWFnFxcWRmZlJZWenGU319Pbm5ueTk5NDd3b2l56YoCidOnGDHjh2qo7i4GLPZ7JGLWAqWBEtaJlgSLHkiwZJnEiyp9KpiaXFxkXv37rkvZHj27FksFgsPHjzg448/5vHjx9y/f5+mpiaGhoaIj48nPj6empoaKioqyMzMpKamhszMTHbt2sXS0hJ37tzhvffeQ1EUvvzyS65cucKZM2coLS1laGiI3NxckpKSGBgYoKOjg23btrGxsUFbWxvp6ekEBARQWVnJyZMnKS4uJjExkZiYGJaXl8nKyuLzzz/fEmoUReH48eN88MEHqiMlJYW5uTmP/JAQLAmWtEywJFjyRIIlzyRYUulVxZLD4aC7u5vi4mL8/Pw4deoUVquVuro6/vM//5O9e/ei1+vdz+nu3bvEx8czNDREQUEBAQEBlJWV0dLSQldXF2tra5SXl+Pj44PBYKCuro7Tp0/z5ptvotPpcDqduFwunE4ngBtLm+Xk5HDw4EH+/ve/c+HCBerq6rh27RphYWEA1NbW8uGHH7K4uKj63BRF4dixY/z5z39WHfn5+VgsFvd2/ZIES4IlLRMsCZY8kWDJMwmWVHpVsdTT00NUVBTV1dWkpqZy7tw5rFYrDQ0NfPDBB4SFheHv74/JZAK+i6Xy8nKuXr1KZWUlJpOJsbExVlZWKC8v5/jx4xgMBh4+fMiNGzd49913iYiIYH5+noWFBfenz34IS2FhYfT39/PZZ58RHR3N2bNnuXjxIi6Xi4aGBvbt24fNZlN9boqicPToUd555x3VkZeXJ1j6hQmWBEtaJlgSLHljgiWVXlUs9ff389VXX3Ho0CEOHjzIZ599xsOHD4mNjeUPf/gDnZ2d/M///A9FRUUsLy9z+fJlfHx8aGpqYm5ujuDgYF577TX27dvH/fv3WV9fp6SkhN/+9rdUVlbi7+9Pa2sr1dXVfPrpp2zbto2wsDD6+vowGAxkZmbyq1/9ipGREQD8/f3Zu3cv4eHhHDx4kNLSUmpqarhy5QqRkZFkZGSQnZ29peemKAqHDx/mrbfeUh05OTmCpV+YYEmwpGWCJcGSNyZYUulVxZLNZnN/+mx6epqpqSnW19fR6/VMTExgs9kYGxvDaDTicDhYXFxkfn7efTL00tISvb299Pf3s7a2htlspry8nC+//JK+vj5mZ2exWCyYzWbGxsbo7e1ldnYWm82G0+lkbW2N0dFR9ztFS0tLzMzMsLy87P50ntlsZnZ2lomJCfcn6baSoih89dVXvPHGG6pjcwFWwdLPT7AkWNIywZJgyRsTLKn0qmIJcH9k/ud+dN7pdLpPuDYajdy9e5e9e/cyPz//HXxs3u7ngMTlcv3k+26uBF9dXU1FRQUFBQWUlZVRXV1NdXU1jY2NlJSUUFlZydDQEGazWS4d8AsSLAmWtEywJFjyxgRLKr3KWPJkFouF5uZmCgsLWV1d9cg7NT83RVHIycnBaDRiMBjQ6/UYjUb3sNlsrK2tsba25rFDcCBYEixpm2BJsOSJBEueSbCkkmDp2zYPra2trWG321/qvthcG87pdLo/hbf5SbxNGD37jpWntlWwJFjSMsGSYMkTCZY8k2BJJcGSd6TX65mbm2Nubo7KysrvYOnHQOSpq3eDYEmwpG2CJcGSJxIseSbBkkqCJe9o89BbTk4O8fHxgiUNEywJlrRMsCRY8sYESyoJlryjx48fU1RURFFREUlJSRQUFGi+DYIlwZKWCZYES55IsOSZBEsqCZa8r81zlrROsCRY0jLBkmDJEwmWPJNgSSXBkvclWBIsaZVgSbCkZYIl702wpJJgyfsSLAmWtEqwJFjSMsGS9yZYUkmw9MM5HA5MJhOrq6sYjcaf9SK0Wq2sr69jt9t/0v0URUGn07kvZfCixyaMBEuCJS0TLAmWPJFgyTMJllQSLP1wo6OjXL58mR07dnDhwgU6Ojp+0v03NjYoLi4mLCyM1tbWn3RfRVHw8/Nj9+7dmoyQkBBAsCRY0jbBkmDJEwmWPJNgSSXB0vczm83cuHGDiooKBgcH0ev17mVRfkrNzc3Ex8fT0NDwk+6nNZaCg4NxOByCJcGSpgmWBEueSLDkmQRLKgmWvl9NTQ3FxcVkZmaSl5fH+Pg4ACMjI5SUlFBUVIROp6Ourg6Xy8Xy8jIVFRWkpqYyNTWFxWKhsbGR4OBgvv76a4KDg6mrq9vy4ThFUThx4gSffPKJJiMgIACbzSZYEixpmmBJsOSJBEueSbCkkmDp+92+fZvQ0FC6u7tJSEggISGBoaEhBgYGqKuro6WlhbCwMIqKirBYLFy9epWnT58SFBTErVu3CA8PJz09nZSUFG7cuEFqaio6nY7s7Owtza8oCj4+Pnz00UeajCtXrmAymdy/vARL2iZYEixplWBJel6CJZUES9/v/PnzhIeHMzMzw8OHD7l48SIlJSUMDQ3R0tJCV1cXQUFBFBYWMjc3x0cffURjYyNFRUXU1NRw+PBh7t69S1VVFfHx8ZSUlJCfn8+JEye2NL+iKBw/fpz3339fk3H+/HkWFxdZXFwULL2EBEuCJa0SLEnPS7CkkmDp+0VERBAQEMDExARPnz4lICCAoqIiBgcHURSFnp4egoKCKCoqYnZ2ll/96ld0d3ezsLDA4OAgR48eJT09nfr6ehITEykvL6ewsJBjx45taX5FUTh69CjvvPOOJuP8+fOYTCbBkmBJ0wRLgiVPJFjyTIIllQRL36+zsxMfHx9KSkrQ6XRkZGRQUlJCWloahYWFPH78GB8fH5KSklhbW2Pnzp2cPn2amJgYWlpaSE5OJikpiVu3bnH58mXCw8NJTEzk/v37W5pfURQOHz7M22+/rck4ffo0q6urLC0tERgYKFjSOMGSYEmrBEvS8xIsqSRY+n52u538/Hzq6+upr69neHiYvr4+KisraW9vZ3x8HJ1OR0NDAxsbG9TW1hIQEEBiYiKDg4OMjY3R0NBAbGwsly9fJjo6mtraWmZmZrY0v6IofPXVV7z55puajJMnT7K8vCxYEixpmmBJsOSJBEueSbCkkmDp+T17QUmXy/Wj+8dsNmO32923sdls1NTUEBERQUVFBVardcvzKopCQEAAoaGhBAUFERQUxNWrVwkJCSE4OJiwsDBCQ0MJDg4mODiYkJAQN3KuXbtGUFCQ+3aBgYGEhYURFhbmfqzg4GCCgoIICQkhLCwMnU6HxWJheXlZDsO9hARLgiWtEixJz0uwpJJg6cXkdDppbW0lJSWFxsbGn3SdJkVRyM/Px263YzKZMJlMLCwsYLPZMJlM2O127HY7FosFs9mM1WrFYDAwPz/P0tISRqOR9fV1NjY2MJlMOBwOHA4H6+vrrK+vYzabMZlMWCwW99+5XC65dIBgSdMES4IlTyRY8kyCJZUESy8mh8OBXq9namqKpaWln/QifnZtOKfTicPhwGq14nK5sNvtOJ1O9ztdTqcTp9PJxsYGVqsVm83GxsaG+12uZ7+nGxsbOBwO932efRzBkmBJ6wRLgiVPJFjyTIIllQRL3tHq6irz8/PMz89TWVn5PSw9752pZ+GzCaHnZbfb2djYeO73WbAkWNIywZJgyRMJljyTYEklwZJ3lJ2d7YaKv7+/G0taJlgSLGmZYEmw5IkES55JsKSSYMk7ysnJISAggICAAK5duyZY0jDBkmBJywRLgiVvTLCkkmDJO9o8z8hut9PY2ChY0jDBkmBJywRLgiVvTLCkkmDJ+3r2BG8tEywJlrRMsCRY8kSCJc8kWFJJsOR9CZYES1olWBIsaZlgyXsTLKkkWPK+BEuCJa0SLAmWtEyw5L0JllQSLHlfiqIQFBREVFSUe8TFxb3w749gSbCkZYIlwZInEix5JsGSSoIl70tRFPz8/Ni9e7d77N+//4X/IBAsCZa0TLAkWPJEgiXPJFhS6Z8BS3q9nt7eXjo6Omhvb6e3txej0cjjx4/p7Oyks7OTtbU1xsbGaG9vZ2ZmBrPZzNTUFOPj45jNZrq7u+np6aGtrY3u7m5GR0d58uQJs7OzjI6O0tHRwdjYGJOTk7S3tzMxMcHAwABtbW2YzWb3/EtLS/T19fH06VP0ej1ra2vuv1tYWNjS81EUhRMnTrBz50732LdvH8vLy99Zf87TCZYES1omWBIseSLBkmcSLKn0z4ClmZkZamtryc7OJiEhgfv377O8vMyVK1fIy8sjLS2NqqoqampqCA8Pp7KykoWFBRRFobW1leXlZXJzc2lubiYiIoL79+/T2tpKYGAgLS0tlJaWEhUVRV1dHbW1tQQHB9PZ2UlZWRnXrl1jfX0dnU5HTEwMw8PDREdHk5ycTGdnJ21tbZSUlHD37l1iYmK2tEacoij4+vqyfft29/jb3/7G2NgYFotFsOThBEuCJS0TLAmWvDHBkkr/DFhaWVmhu7ubqqoqbt++TXJyMuvr63zxxRdkZmZy/fp1oqKiePz4MdeuXSMxMZGuri7q6+uZnp5mZWWFsrIylpaWuHLlCvfu3WNoaIgjR45QVFREamoqly5doq6ujvLycg4fPsyTJ0/Q6XQcPHgQp9OJTqcjJCQERVHw8fHh5s2bFBQUkJKSQlVVFXl5eZw6dQqbzab6fBRF4fjx43zwwQfusXv3bubn51/oDwPBkmBJywRLgiVPJFjyTIIllf4ZsDQ9PU1HRwdtbW3cvn2bO3fusL6+zv79+4mIiODYsWNERUUxPj5Obm4uN27cICEhgaqqKuBbJJSXl7OyssKVK1dIS0tjeHiYAwcOcPv2beLj4wkICKCuro7Hjx8TFBREYWEhcXFxHDp0CKfTSU5ODhcuXOD+/fv4+fmRlJTkvl95eTldXV309PRsGUvHjh3jvffec49PPvlkS/f9JQmWBEtaJlgSLHkiwZJnEiyp9KpjyW6309HRQXV1NR0dHYSEhHD79m0MBgN79uyhsLCQiooKvvjiCxoaGlhYWCAkJAQ/Pz+ePHmC1Wqlt7eX7OxsVldXOXv2LAkJCXR1dfHhhx8SFxdHdnY2ISEhVFZWYrfbWVpaoquri9zcXPbt24fdbufu3bt88sknPHz4EH9/f2JiYsjIyODatWskJSXx9OlTuru7t4ylI0eO8Mc//tE9PvroI0wm048ulPtLEywJlrRMsCRY8kSCJc8kWFLpVcfS5OQkaWlpREREcO/ePXx8fDh9+jSTk5Ps3LmT0NBQwsLCiIyMZHh4GIDMzEySk5OxWCyMjY0RHh7OzZs3WVhY4OjRowQEBFBUVMSePXsoKSkhKyuLs2fPUlBQ4D7naHFxkdjYWPbu3YterycsLIxjx47R0dGBv78/169fp7W1ldjYWP7whz9w8OBBcnJytvScFEXh8OHDvPXWW+7x/vvvMzExgc1mk3OWPJxgSbCkZYIlwZI3JlhS6VXH0sOHDykqKkKv1+NyuZieniYxMZGZmZnv3XZjYwOLxcLDhw9paGgAwOVy4XQ6X9hzd7lcmM1m1tbWtnwfRVE4evQo7777rnt8/PHHrKysbOkE8Z+bYEmwpGWCJcGSJxIseSbBkkqvOpYsFst3ftA6nU4sFssPHu7KzMzkiy++ID4+nqWlJS038yelKArZ2dmsrKywurrK+vo6er2ejY0NNjY25J0lDydYEixpmWBJsOSNCZZUetWx5HK5vrfdP/Q1+PZFNT09zerq6gs99+eXpigK+fn52O12N46e/fcXlWBJsKRlgiXBkicSLHkmwZJKrzqWfkov+pCbp9pcG24TfS6X64VDCQRLgiVtEywJljyRYMkzCZZU+r+EJW+urq6O1NRUUlNTuXXr1vcW0tXieyNYEixpmWBJsOSJBEueSbCkkmDJO8rOznZDxd/f/3tY0iLBkmBJywRLgiVPJFjyTIIllQRL3tHIyAhtbW20tbWh0+kESxomWBIsaZlgSbDkjQmWVBIseV+b5yxpnWBJsKRlgiXBkicSLHkmwZJKgiXvS7AkWNIqwZJgScsES96bYEklwZL3JVgSLGmVYEmwpGWCJe9NsKSSYMn7UhSF5ORk9/IsWiVYEixpmWBJsOSJBEueSbCkkmDJ+1IUBT8/P4KDgzX9ngiWBEtaJlgSLHkiwZJnEiyp5O1YcjqdrK2tYTQaWV1dxWQy4XQ6cTqd7jXXzGYzTqcTq9WKwWDAaDS6lwdxOp2YTCZWV1exWCzY7XZMJhNGoxGr1YrJZMJgMGCz2VhbW2N9fR273e6+vdPpxGazYTQaMRqN7mVUnE4n6+vr7vntdrt7Gw0GAyaTCbPZjNFoxGQy/aQ13RRF4cSJEwQGBmr64hcsCZa0TLAkWPJEgiXPJFhSyZux5HK5WFlZITExkcLCQm7dukVxcTF6vZ7FxUUePHhAYmIiFRUVLC0t0d7eTkpKCjqdjuDgYCYnJ9Hr9eTl5REfH8/Dhw8ZGRkhPz+fzMxM2tvbKSgoIDk5mZ6eHqKjoykrK2NoaIjIyEgaGxtZXV2lq6uLvLw8dDodbW1t2O12lpeXqays5O7du5SXl9Pf309+fj43b94kJSWFwsJCamtryc7ORqfT/aS16BRFwdfXF39/f4xG4wvcw99NsCRY0jLBkmDJEwmWPJNgSSVvxhKA0WgkPT0dp9PJl19+SVVVFSaTibi4OEpLS8nOzubcuXMUFhYyOTlJUVERExMT/PrXv8bhcJCenk52djYPHjzA39+furo6wsPDCQoKwmAwUFhYiI+PD/Pz8xw8eJCmpibsdjvvvvsura2ttLe3k5iYSHNzM0VFRZw7d47S0lIKCgooKChgYWGBt99+m4qKCgwGA8ePH6ewsJDOzk6ePn1KYmIiwcHBP+k5K4qCj48Ply9f1hQtgiXBkpYJlgRLnkiw5JkESyq9CljKzs7G5XJx4MABqqurmZ2d5eLFi0RHR9PQ0EBLSwvT09NMT09TXl7O5OQkr732Gg6HA7PZTGlpKQkJCRw5coTq6moiIiL48ssvyc7O5urVq/j6+rKwsMD+/fsJCwsjPz+f//qv/0JRFGJiYrh16xaDg4P09PQQGhrKoUOHuHDhAj09PTidTlZXV7HZbLhcLjeWNg/J3bp1i08//ZT8/Hw6Ojq29JwVReHYsWN88803giUNEiwJlrRMsCRY8sYESyp5O5ZMJhN5eXnfwdLy8jKHDh0iMTERg8HAzMwMk5OTTE9PU1ZW9h0sJSUlkZOTQ1NTE9988w3V1dVERkZy7do1Zmdnyc7OdmPp0KFD1NbWsrKy4n5n6c6dOwQGBtLW1sbg4CAJCQmcPXuWM2fOuN/xGhoawm63A+Dj40NhYSHr6+sYDAYSExPx9/enpqaGL7/8kvHxcdXnrCgKR44c4dy5c4IlDRIsCZa0TLAkWPLGBEsqeTOWDAYDFRUVBAYGUldXx7Zt27h9+zbz8/PExcWxe/du9u/fT1JSEjqdjpCQEKqrq6muruZf/uVfmJmZITw8nAMHDhAZGcnOnTuJiorCx8cHHx8f2tvbiYiI4K9//SsdHR289957pKSkMD4+zm9+8xtyc3Pp7u7m+vXrREZGkpmZSWpqKp2dnWRkZPDGG29w9uxZ0tLSMJvNrK6usnv3bsLCwpienmZkZISLFy/y+eefExUVxZEjR9Dr9arPW1EUDh8+jJ+fH4uLixrs6W8TLAmWtEywJFjyRIIlzyRYUsmbsTQzM0NkZCTt7e3MzMxQXV1NSEgI4+PjTE9PU1tbS0VFBX19fYyNjdHR0cHS0hKzs7NUVlayvr7OyMgIDx8+pLe3l8bGRvr7++no6KCzs5Pl5WUGBgZobW1lZWWFxsZGRkdHMRqN1NXVMTU1hdlsZnBwkPb2dnp6epicnMRmszE3N0dZWRk1NTWMjo7icDiw2Wy0trbS39/P+vo6RqORnp4eWltbGRgY4OnTp1v6VJyiKAQHB5Ofn4/JZNJgT3+bYEmwpGWCJcGSJxIseSbBkkrejCWDwUBra6v7BbCxscHjx49ZXV11/3ljYwOXy+UeP9RWbqOW3W53H2rbbPNyBZ5OURTS09NZWFjA6XR6/PGfl2BJsKRlgiXBkicSLHkmwZJK3owll8v1PaDY7Xav205Pt7ncidbPU7AkWNIywZJgyRMJljyTYEklb8bS/9VkbTjBklYJlgRLWiZY8t4ESyoJlryj0dFR2tvbaW9vJycnR7CkYYIlwZKWCZYES96YYEklwZJ3lJ2d7YaKv7+/YEnDBEuCJS0TLAmWvDHBkkqCJe+otraWlJQUUlJSuHnzpmBJwwRLgiUtEywJlrwxwZJKgiXvS85ZEixplWBJsKRlgiXvTbCkkmDJ+xIsCZa0SrAkWNIywZL3JlhSSbDkfQmWBEtaJVgSLGmZYMl7EyypJFjyvgRLgiWtEiwJlrRMsOS9CZZUEix5X4qicP78eXx9fTUdx44d47PPPuOzzz7j+PHjms+/f/9+PvvsMw4dOqTpvD4+Pnz11Vd88cUXz71Ne3v7lpaq+TkJlgRLWiVYkp6XYEmlVxFLZrOZxsZGqqqqGBoaor29naamJpxOJ3q9noqKCgoKChgdHXUvxltSUkJZWRljY2PYbDYGBwcpKCigurqa5eVlbDYbXV1dNDY2kpOTQ0ZGBvPz8zidTgYGBigqKqKhoYGRkREURaGsrIysrCwqKioYGhqiurqawsJCioqKGBgYwGKxYLVa6e3tpbCwkPr6+i3/QlAUBT8/P3bt2iXDS0ZLS8sLW3pGsCRY0irBkvS8BEsqvYpYcjgcJCUlkZqaSmVlJXl5ebS0tDA5OUlaWhqNjY08ffqUvXv3MjIywrVr19DpdGRlZZGamuq+6GNeXh5ZWVncuXMHk8lEeno6Bw4coLi4mIMHD3Lnzh3u379PbW0tTU1N3L9/n9TUVB4/fkxDQwN/+9vfmJycdK/lFhkZSW1tLWFhYTQ1NVFRUUF6ejpPnz4lMzOTsLCwLT0/RVE4ceIEO3bskOElo6mpSd5Z8nCCJcGSJxIseSbBkkqvIpYAoqOjOXv2LFFRUVRWVrKyskJzczP79u1jcXERg8HA9u3bKSoqwtfXl7CwML7++mvCw8NpbGyksbGRzMxMIiIiuHDhAuvr6+Tm5vL5558zPj5OXFwc586dY/fu3RQUFLC6usrw8DA9PT3o9Xo6OjrYtm0bTqeThYUFsrKy8PPz4+rVq5w/f57q6moiIiKIiorCYrFQUlLCJ598gsFgUH1uiqLg4+PDX/7yFxleMpqbm+WdJQ8nWBIseSLBkmcSLKn0KmPpypUrnDlzhpSUFGw2G/X19fzlL39hdnYWs9nMkSNHyMvLw9fXl9jYWKKjo7l06RJxcXEUFRVRWFhIQkIC586dw2w2Ux3V3ekAACAASURBVF5ejo+PDwaDgfr6eq5evcq2bdtISkrCaDRiNBrR6/UAbixtlpOTw/nz50lJSeHYsWNkZmZy8eJFrl+/jsvl4sGDB+zevRuj0aj63BRF4fjx47z//vsyvGQ0Nze/sNeHYEmwpFWCJel5CZZUehWxZLfbCQgI4Pr16wQGBuLv78+DBw/o6uri4sWLJCUl0dvby9dff01nZycHDx4kMjKStLQ0zpw5g6+vL1euXCEqKoqbN29y4MAB5ufnKS0tZfv27fT09JCSkkJubi4BAQGcPHmSmzdvUlFRwfDwMFarlaqqKn7729+ysrICwO3btzl58iSFhYV88cUXpKenk5iYyKVLl2hsbKSkpITAwMAtHcpRFIWjR4/yzjvvyPCS8fDhQxwOxwt5jQiWBEtaJViSnpdgSaVXEUs2m43c3Fyys7NpamqipKTEfSju8ePHJCUl0draSmFhIWtrayQlJZGdne0+AbusrIy0tDSSk5PR6XRER0czMzNDaWkp77//Pk1NTeTn5zM5OcnIyAixsbFcu3aN4uJiZmdnsVgstLa24u/vz8LCAgBFRUUkJSVRUVHB/fv36e3tZWhoiMLCQgoLC2lqatryD2ZFUThy5Ahvv/22DC8Z9fX12Gy2F3IoTrAkWNIqwZL0vARLKr2KWPqxXC4XdrudtbW1H72dw+HAbrfjcrlwOBysr6+Tl5fHoUOHmJiY+M6LbmNjA4vF8rNeiBsbG5jNZqxW65bvoygKhw8f5s0335ThJaOurs7934unEywJlrRKsCQ9L8GSSv9sWPq5mUwmdDod586dY3l5+aXuC0VROHfuHMeOHcPHx4djx465r3v07J+PHz/uvs0/fv3IkSPfuX7S5t89ezsfHx/37TevNbRjxw4+/vhjjh496n7snzPP5u03v3706NHvPNbm15/djj179vDxxx/z97///Tvb9Y+PtfkYz379p8zzj8/r6NGjHDhwgE8//fQH5zl+/Djt7e1ygreHEywJljyRYMkzCZZUEix9m91uZ3x8nPHxcUwm0wv7xbiVFEVBp9NhMpmw2WwYDAasVitOpxOr1YrBYHBfx8lkMmG1WrFarRiNRqxWK+vr6ywvL7vfPTMYDN+7j8ViwW63s76+7p5ncnKS8PBwQkJCWFlZwWAwYLPZMJlMrK2t/aR5Nm/jdDoxmUysrq5itVoxm80YjUacTidra2vubbJarRQUFBAWFkZjYyMmk4n19fXvzOdwONyPYzQa3fd3OBw/aR6j0YjNZsNisbC2tsbq6iqdnZ1kZGT84Dxms/mF/vcgWBIsaZVgSXpegiWVBEvel6Io5Ofnu08o3tjYwOl0fuefLpfLfQjx2bH5Pdy83ebhw2e/txsbG9jtdjcyNu+3uLhISEgIYWFhmEwm9/02H+unzGO327Hb7e77bW7vPz6PTYS4XC7y8vIIDQ2lpaXFvW3/+PwtFot7DofDgc1m+8nzPPu8Nx+zs7OT9PT0586zuS0vIsGSYEmrBEvS8xIsqSRY8o42f3FvbGzQ1NTkXhvux7D0Y/0Yln6oH8OSp+b5McTAD68N9yxu/hExP3eef8xms/0oll50giXBklYJlqTnJVhSSbDkHeXl5REUFERQUBDXr19/KQvpLi8vy0K6LyHBkmBJqwRL0vMSLKkkWPKOsrOz3VDx9/d/KVhaWVkRLL2EBEuCJa0SLEnPS7CkkmDJO9Lr9czOzjI7O0tlZaVgScMES4IlLRMsCZa8McGSSoIl70tRFMGShgmWBEtaJlgSLHljgiWVBEvel2BJsKRVgiXBkpYJlrw3wZJKgiXvS7AkWNIqwZJgScsES96bYEklwZL3pSgKUVFR6HQ6j/9g+bEES4IlLRMsCZY8kWDJMwmWVHpRWDIYDAwPDzMyMsLKygpjY2PuRWctFgtDQ0N0d3ej1+tZWlpicHDQ/fdms5mJiQnGx8dxOByYTCYGBwfp7OxkfX0dp9PJxMQEAwMD9PX1MTAwwNTUFGNjY/T392MwGOjv76evr899BeqRkRG6u7tZXFxkdXWV4eFhRkdHWV5epq+vj/7+fiYmJhgaGqKzs5Pe3l5mZ2ex2Wzo9XqGh4cZHh5mYWGBhYUFent76erqYmBggPHxcQYHB+np6aG3t5fFxUX3NZMWFhbo6elhZGQEu92+pX2nKAp+fn7s3r2bCxcuAGgCWcGSYEnLBEuCJU8kWPJMgiWVXhSWZmZmyMjIIDk5madPn5KXl0d3dzcbGxuUlpZSW1tLXl4eubm5NDY2EhkZSU5ODuvr6/T39xMTE0N+fj4mk4nq6mrq6uoIDg6moaEBg8FAdXU15eXl3L17l8TERJqbmykuLiYiIoLp6WmioqKIi4vDaDRSX19PeXk5iYmJVFdX8/TpU9LT07l37x79/f0kJyeTlJRETU2NGyrFxcU8evSIkZERWltbqaioICsrC51OR3t7O/n5+Vy+fJnq6moqKytJT08nJiaG3NxccnNzGRkZob+/n4qKCsrLy9HpdNTX129p3ymKwokTJ9i5cyfnz593X5X6RSdYEixpmWBJsOSJBEueSbCk0ot8ZykhIYEjR45QXl5OVVUV09PTLC8v88477zA3N8f09DR79uwhPT2dM2fOcOLECVpbWykpKWH//v3cv3+f6elpDhw4wOjoKBEREcTFxTE7O0t9fT2Dg4Okp6cTFhZGf38/paWlHDp0iOHhYU6ePElwcDAmk4nExEQePnxIfHw8UVFRNDQ0EB8fz4ULF3jy5AlhYWHcunWLp0+f4nK5+N3vfsfg4CCjo6Pk5eWRlZVFX18fNTU1xMXFMT4+Tnd3N7t27WJmZobu7m4yMjK4cuUKOp2Or7/+mtLSUuLi4oiOjmZ1dZWcnBz27NmDzWZT3XeKouDr68v27ds5c+bMlq6k7YkES4IlLRMsCZY8kWDJMwmWVHpRWDIajcTExPDmm2/i7+/P/Pw8DoeDoaEh/uM//oPFxUUA9uzZQ0JCAllZWfj4+HDlyhXu37/P9evXSUtLo7e3l23bttHW1kZnZyf9/f2YzWYaGhoYGhpyY2lgYICSkhL++te/UlpayqVLlwgNDcVkMtHb20tZWRlXr14lMDCQBw8ecPv2bQ4cOEBGRgZnzpwhMTHRve2/+93vGBoaAuD27dskJyczNTXlXlMNoLe3l127djE3NwdATk4OR48exc/Pj7Nnz1JRUYG/vz8hISEA1NXV8dFHH7G8vKy67xRF4fjx47z//vv4+fm51z170QmWBEtaJlgSLHkiwZJnEiyp9KKwpNfriY+PZ9++fYSHhxMVFYXZbGZ+fp5/+7d/Y2BgAKPRiI+PD5mZmTQ2NnL+/HmOHDlCbGwsERERpKamMjQ0xK9//Wv6+vqYm5ujp6eH5eVlamtr6enp4c6dOwQGBtLd3U1mZiZ/+tOfaG5uJjo6moCAAIxGI/v27XMfRouIiKCiooK4uDgCAgIYHR3l5s2bxMTE4HK5sNls/Pd//zd9fX24XC4yMzO5dOkSZWVl7vOcHA4H3d3dfPzxx0xMTACQnp5OQEAA7e3tfP7558TFxXHlyhUuXryIXq+nvr6eI0eObOm8JUVROHr0KO+++y6+vr44nU73eJEJlgRLWiZYEix5IsGSZxIsqfSisDQwMMA333zDyZMnKSoqYufOnTQ3N2Oz2YiOjub8+fOkpaVx79498vLySE5OJiEhgaKiIu7evcvhw4cJCQlhaWmJy5cv86//+q9s376dpqYmysvLCQsLIzExET8/Pw4cOEBaWho3btzgk08+YWhoCF9fXw4dOsTy8jKHDx/m0KFD7tsGBARw+vRpTp06RVNTE8ePH+f8+fNYrVa6urr493//dyorKzGbzSwtLXHixAlef/11Tp48SX19PVarlbq6Ol5//XVKS0txuVxcu3aNffv2cePGDY4fP051dTVNTU0EBgYSGhpKZmYmJSUlW9p3iqJw5MgRtm3bxrFjx9wni7/oBEuCJS0TLAmWPJFgyTMJllR6UVhyuVzuX/JOpxO73e5+Z8ThcLC6uoper8dms+F0OnE4HO7V5R0Oh/vQ0+bjzM/PYzQacTgcxMbG0tLSgtVqxWw2U1FRQUZGBg6HA7vd/p25N98tMplM2Gw2rFYrNpvtO9v2LEY2b7+5rZt/XllZYW1tzf31H3pOm9u8+bhOpxOz2Yxer8doNG75nSFFUfjqq6944403+OqrrzQ5BAeCJcGStgmWBEueSLDkmQRLKr2s6yz91E94OZ1O9+2XlpbcP1xdLhdGoxG9Xq863y/p534ibfN+P+W+iqIQGxuLoijMzs7icrnknKUXmGBJsKRlgiXBkjcmWFLpVbwo5bNwgp8PGW9NURSys7Pd76QBL/x8JRAsCZa0TbAkWPJEgiXPJFhS6VXE0j97iqKQl5en+QtfsCRY0jLBkmDJEwmWPJNgSSXBkve1uTac1t8PwZJgScsES4IlTyRY8kyCJZUES95RW1sbJSUllJSUkJycLAvpaphgSbCkZYIlwZI3JlhSSbDkHWVnZ7uh4u/vL1jSMMGSYEnLBEuCJW9MsKSSYMk76ujooLKyksrKSlJTUwVLGiZYEixpmWBJsOSNCZZUEix5X5vnLGmdYEmwpGWCJcGSJxIseSbBkkqCJe9LsCRY0irBkmBJywRL3ptgSSXBkvclWBIsaZVgSbCkZYIl702wpJJgyftSFIXMzEzm5uY0HQMDA4Kll5BgSbCkVYIl6XkJllR62VhyOBzutdqeXVfN5XJht9vdfwewsbGB1Wp1rwFns9m+s36czWZzrw1ns9ncf7Zardjtdvf9nv33zcfY/KfZbHZfNXtzG6xWq3uduc15NrfVarXidDrdc20+1uZ2bP7d5pp0W9nHiqLg5+fH7t27NR2fffYZV69eFSxpnGBJsKRVgiXpeQmWVHrZWOrq6iI1NZXGxkYePXpEZWUlQ0NDLC0tUVpaSlpaGjU1NbhcLlpaWoiPj6e7u5uKigru3r1LR0cHCwsLNDY2cv/+fUpKSjAYDKSnp5OUlIROpyM+Pp6CggK6u7vJycmhoKCAx48fk5+fT2ZmJk+ePCExMZHW1lZOnz5Na2srVquV+fl5SkpKiIuLo6WlheXlZerr60lJSXF/ei0mJobh4WGSk5MpLCykp6eHtLQ0ysvLWV5eZnh4mKysLOLj47l//z4rKyuq+2QTS7t27dJ0fP7554SHhwuWNE6wJFjSKsGS9LwESyq9bCzNz89z/vx57t+/T3V1NUVFRbS1tZGfn09aWhqTk5N88cUXVFVVMTo6yv79++ns7KSqqoqoqCiqq6spLy8nMzOTR48ece7cOQYHB0lNTSU4OJiVlRXOnj1Lfn6++4dzQkICw8PD3LhxgwsXLqAoCm+//Ta5ublkZGTw2muvMTg4SEREBDU1Neh0OuLi4mhvb6egoICjR49iMplobm5m9+7d2O12/Pz8KC0tZWxsjD179nD37l36+voIDQ0lMDCQ/Px8vv766y2/s+Tr68v27ds1HZ9++imRkZGEhoYKljRMsCRY0irBkvS8BEsqvWwsLS8vc+TIET766CN0Oh1ra2s0NTVx6dIl6uvrMRgMxMbG4uvry9DQEB9++CGxsbEEBQVx+fJlkpKSSE5OprS0FIvFwvz8PHq9nrt37xIYGIjJZOLUqVMUFBSg1+u5fPkyISEhNDQ0cOnSJS5evEh3dzcffvghc3NzGAwGfve739Ha2srIyAiVlZVcu3YNf39/94nXX331FVarlZaWFnbs2IHT6cTHx4fCwkIKCwv5y1/+QmZmJnq9npSUFL766isuXLiAr6/vlvaJoigcP36cDz74QNOxa9cuIiMjCQsLEyxpmGBJsKRVgiXpeQmWVPIGLJ06dYoDBw4QHh5Oa2srjx494ptvviEvLw+TyURWVhbnz59neHiYv/3tbzx48IDc3Fxu3LhBcnIyISEhxMbG4nQ6MRqNDA0NPRdLFy9exM/PjwcPHpCUlMSlS5fo6elh+/btGI1GAP785z/T29tLWFgYFRUVZGdnExkZSXNzMwUFBRw+fBir1Upra6sbS76+vly6dIn29nYOHDhAVlYWDoeD7OxsDh8+TFBQ0E/C0rFjx3jvvfc0HTt27CA8PJyQkBDBkoYJlgRLWiVYkp6XYEmll42lrq4uPv/8c0JDQwkICOD69es8fvyY9PR0Tp48ycOHDwkNDeXx48c0NDTw3nvvUVdXx507dzhx4gTZ2dnEx8ezY8cOrly5QnZ2NpOTk1y6dInDhw8zNTXF3r17iYqKoqenh8OHD7uxFBQUxLFjx2htbeXdd9+lsLCQ5uZmLl++zNzcHCdOnODcuXNcvXoVX19f7ty5Q2xsLH/+85+pra0lNjaW119/ndnZWT755BMuXrxIZ2cnu3fvJioqigcPHhAWFkZgYCBBQUHs3bsXk8mkuk8UReHIkSNs27ZN0/Hhhx8SHBwsh+E0TrAkWNIqwZL0vARLKr1sLM3Pz1NTU0NfXx+dnZ0oisLi4iJTU1PU1NTQ1dVFW1sbVquVqakpSkpKmJqaoqenh4aGBsbHxxkeHiYvL4+8vDy6u7sxm80oiuI+jFdTU0NHRweLi4s8fPiQ1tZW5ubmaGtro6Ghgfb2dt5//31aWlro6emht7fXfZitpqaGxsZG6uvr6erqoru7m+LiYoaGhlAUhbCwMGpraykpKaGjo4OlpSWqqqro7OxkZGSEJ0+e0NvbS2dnJzU1NdhsNtV9oigKhw8f5q233tJ0vP/++4SFhclhOI0TLAmWtEqwJD0vwZJKLxtLP5bT6dzyL+2NjQ0sFsvPmqO9vZ133nmH8fFxLBaLez+4XC73pQk2x7PZ7Xampqbo6ury6ItUURRCQkKIj48nJSWFO3fukJycTEpKCikpKcTFxRETE/OD45fcJzk5Wc5ZegkJlgRLWiVYkp6XYEklb8aSFm1sbNDX10dQUBAjIyM/ax9s9fpJW01RFNLT05mfn8dkMmEymVhdXcVisWCxWJidnWVhYYGlpSUWFhZYXFxEr9ezuLj4i+4zMzNDeHg4gYGBgiUNEywJlrRKsCQ9L8GSSv/XseRwOFhbW2NhYWFL10DSIkVRyM7OxmAwuC+caTQacTgc7u21WCzY7XbW19exWCw4HA4sFssvus/i4iJhYWFynSWNEywJlrRKsCQ9L8GSSv/XseSNbV6i4NnDgRaLhY2NDfcVzjfbvJK4w+FwX/n8595Hr9cLll5CgiXBklYJlqTnJVhSSbDkHS0uLjIxMcHExARlZWXfWUh3c/mWzXeJnoXP8/o591lZWSEoKEiwpHGCJcGSVgmWpOclWFJJsOQdZWdnuxex9ff3/w6WtGplZUUW0n0JCZYES1olWJKel2BJJcGSd1RYWOj+2H5QUJBgScMES4IlLRMsCZa8McGSSoIl72vznCWtEywJlrRMsCRY8kSCJc8kWFJJsOR9CZYES1olWBIsaZlgyXsTLKkkWPK+BEuCJa0SLAmWtEyw5L0JllQSLHlfgiXBklYJlgRLWiZY8t4ESyoJlrwvRVG4fv06OTk5ms4rWBIsaZlgSbDkiQRLnkmwpJK3YMlms9Hf309TUxMjIyNMTk7S2NjI8vIyNTU1jI+Pk5OTQ39/P2tra3R0dNDS0sLo6ChdXV00NzczOTlJd3c31dXVNDc3MzY25r7GUE9PDw8ePKC3txej0YjNZmN0dJQHDx7Q3NxMdXU1o6OjVFVV0dbWhsViYXx8nIGBAQYGBmhpaaG9vZ2BgQEaGhp4+vQpAwMDVFZWsrKywqNHj2hoaHAv0NvS0sLi4iLLy8s8fvyYhoaGLf9wUhQFPz8/goODX/Be/26CJcGSlgmWBEueSLDkmQRLKnkLljY2NigtLSU2Npa6ujrKysooKipiaGiIvXv3UlFRQUxMDH5+fvT09JCamsq9e/fo7u4mOTmZq1evMjs7S21tLadPn6a9vR1fX1/0ej21tbVUVFSgKApxcXGUlZVhMpno6ekhLy+P2tpaDh06xPT0NDExMdy8eZPl5WWqq6t58uQJg4ODJCQkcO/ePZqamoiIiKCxsZGOjg7+/ve/YzAY0Ol03Lp1i5GREW7cuEF8fDxtbW00NTVRVlbG3bt3uXbt2pZezIqi4OvrS0BAwJYuJumpBEuCJS0TLAmWPJFgyTMJllTyFiwB5OTkcO7cOeLi4tDpdIyNjTEyMsJvf/tbHj16RHd3N2+99RZ1dXVERESQmJhIU1MT58+fx8fHB6vVSn19PX/+85+pqKjgf//3f1lcXOTQoUNUV1djNBoJDw8nJCSE8fFxRkZGqK2tpbOzkz/+8Y84HA5aWlrYu3cvIyMj6HQ6BgYGWFlZITIyktjYWBRF4erVq7S1tTE4OMjvf/97nE4nOp2O0NBQ6urqOH78ONHR0eh0OhISEqisrKSoqIjAwEBsNpvqflAUBR8fH/z9/XE4HBrs+W8TLAmWtEywJFjyRIIlzyRYUsmbsJSbm8vJkye5ePEi0dHR2O12pqenefvtt1ldXcXlcrFz507q6+uJiIggMDCQ4uJiLl++zOnTp91Y+tOf/kRubi4ffvghvb29/PGPf6SiogKr1UpaWho3btzg6dOn7sNwnZ2dbNu2Dfj2h8n+/fu5c+cOOTk5TE9Ps7a2RlRUFHFxcbS0tHDt2jXa2toYGhpyYyknJ4dTp06RnZ3NqVOnSEpKIiEhgevXr1NeXk5/fz99fX1bxtKxY8e4fPmyvLOkQYIlwZKWCZYES96YYEklb8GSw+EgLS2NixcvEh4ejp+fHy0tLYyNjfHWW2/R0dHB5OQkJ06coLOzk+DgYI4dO0ZVVRW3bt3i6NGjLCwsUFxczPbt2+nr6+Pdd9+lpqaGkydPcvv2bbq7u0lJSeH+/fv09PTw8OFDysvLqaio4Pe//z1GoxGAyspKPv30U2pqajCbzczMzHDt2jUCAgIoLCzEz8+PkpISHjx4wGuvvYbJZCIxMZGdO3fS0NDA5cuXiYyMRKfTcf36dUJCQqirq+PRo0fY7XbVfaEoCkePHuXChQuCJQ0SLAmWtEywJFjyxgRLKnkLlmw2G3l5eYSEhFBcXIxOpyMmJoaBgQFef/11MjIyqK6upqioiKmpKeLi4oiOjqatrY3U1FT8/f0ZHBwkPz+fI0eOUF5eztmzZxkbG6O3t5fIyEhycnLIycmhtbWV+vp6oqOjKSsrIz09nU8++YTm5mZcLhcmk4lvvvmGgYEBAIaHhwkPDyc4OJh79+5x4cIF7t69S3Z2Nnv27GF+fp7ExESuXr1Kb28v0dHRxMTE0NnZSUZGBnv27OGbb76hoqJiS/tCURQOHz7MuXPn5DCcBgmWBEtaJlgSLHljgiWVvAVLz2tycpI33niDqakp1tbWfvY7LQ6Hg7W1NaxWK2trazQ3N9PQ0IDD4cButzMyMkJycjIjIyN0dHRQVVXFysrKL95+l8uFxWJxv2u1lRRF4dSpU0RERAiWNEiwJFjSMsGSYMkbEyyp5M1YcjqdDA4O8oc//IGenh6PvRA2gfQsRJxOJwsLC+zZswcfHx+mp6df2v7YvCily+USLGmQYEmwpGWCJcGSNyZYUsmbsbSxscHCwgJDQ0NMTk6+cDi4XC6Wl5df+gtOruAtWNIqwZJgScsES96bYEklb8YSfAsYp9Op2bZ5wz4QLAmWtEqwJFjSMsGS9yZYUsnbsfR/McGSYEmrBEuCJS0TLHlvgiWVBEveUVVVFQkJCSQkJBARESFY0jDBkmBJywRLgiVvTLCkkmDJO8rOznZDxd/fX7CkYYIlwZKWCZYES96YYEklwZJ3NDExwdOnT3n69Cl5eXmCJQ0TLAmWtEywJFjyxgRLKgmWvC85Z0mwpFWCJcGSlgmWvDfBkkqCJe9LsCRY0irBkmBJywRL3ptgSSXB0rc5HA7m5uZYXFxkY2OD4eHhlwIGECwJlrRLsCRY0jLBkvcmWFJJsPRtNpuN9vZ2CgsL6e7upqCggIWFhZeyLYqikJCQQFNTk+qYn5/32LyCJcGSlgmWBEueSLDkmQRLKnkLlsxmM4uLi8zOzjIzM8PCwgIWi4XZ2VlmZ2ex2WxMTU2xuLjIysoKMzMz6PV69Ho9s7Oz6PV6bDYbi4uL7nXk4NuLTM7PzzM3N8f09DTz8/OYzWYsFgvz8/PMzMxgNBpZX1/n0aNHhISEkJ6eTkFBAVNTU2xsbGAwGJienmZxcRGTycTS0hKzs7NMTEwwOzuL0Whkfn6e6elppqenMRgMOBwO93p009PTLCwsbPkK5Iqi4Ofnx65du1RHdXW1x75vgiXBkpYJlgRLnkiw5JkESyp5C5YmJiYoLy8nIyODO3fuoNPpmJqaIi0tjTt37rCyskJwcDCFhYU0NzcTFxfHgwcPaGpqIiUlhcrKSkZGRigpKSE1NZWsrCw3WHQ6HSUlJcTFxZGZmUl/fz/9/f0UFBSQmppKSUkJU1NThIeHU1FRwcjICFevXqWxsZGJiQlaW1vJysoiPz+fpqYmamtrycnJwd/fn9LSUtrb28nKyiI+Pp6MjAyqq6vdOHvw4AE5OTnk5ubS29u7pX2hKAonTpxgx44dqqO8vJyNjQ2PfO8ES4IlLRMsCZY8kWDJMwmWVPIWLK2vr/PkyRPKy8u5c+cOUVFRLC0tkZycTGhoKGtra/zpT3+isLCQ0dFRzpw5Q3FxMY8ePeLmzZtER0eTlZVFaWkpDQ0N/PrXv8ZkMuFyuSgsLGR+fp6wsDDu3LlDVVUVWVlZ1NTUkJGRwY4dO5icnOTLL7+kqamJkZERfvOb39DU1ERiYiJlZWUMDg6i0+lISEigv7+fjo4Otm3bxsbGBo8fPyY9PZ3AwEBqamrw8/OjuLiYpKQkYmJiWF5eJjMzk88//xyn06m6LxRFwcfHh48++kh1FBYWYjKZPPJDQrAkWNIyrwjV7gAAIABJREFUwZJgyRMJljyTYEklb8GS1Wqls7OTiooKUlJSuHnzJktLS6SkpBAQEEBaWhq7d++mvLyc8fFxzp07R0lJCY8fPyY6OpqLFy/yzTffUFRUhKIotLa2YrVacblclJSUsLCwQFhYGCkpKcTHxxMQEEBZWRmKotDZ2cnU1BQHDx6kqqqKjIwMfv/73/Po0SNOnjyJTqfD5XK5B+DG0mY5OTl8+eWXfPbZZ1y8eJH6+nquXfv/7N3Xc1RnnvDxv+S92du92ZrZ8dZsTdV4tnYdGZwN2IQxxhhMkEASIoNIyoBEkIRASCjnhIRyFtJRzjnn3Mqd+/teTKkLnFrg5kyDf9+qpwDpdJ/QgD51+vRzvAgICACgpKSEzz//nNnZWZvHQlEUXFxc+Oyzz2yO3NxcjEbjphBmK8GSYEnNBEuCJXskWLJPgiUbOQqWVlZWaGlpoaio6DkshYaG8uWXXzI2NsahQ4coKCj4WSx5eXlx+fJlkpKS0Ov19Pb2sr6+jsViIT8/n9nZWSuWoqOj8fT0pKCggJWVFYaGhhgZGeHAgQOcOnWKhYUFPvnkE+rq6jhx4gS3b99mZmaG2dlZ6w+0n8PSjRs36OjoYN++fYSEhHDu3DkuXbqExWKhsrKS7777Dr1eb/NYKIrCsWPH2Lp1q83x5MkTwdJvTLAkWFIzwZJgyRETLNnIEbDU2tqKv78/8fHxFBcXc+rUKc6dO0d3dzcnTpzgH//4B7Ozs3z88cfcvn2bx48fs2vXLjw8PLh58yaHDh3ixo0bREVF8ec//5lvvvmGkJAQTCYTJSUl+Pr6kpCQwL59+zhz5gwlJSX4+/vz17/+lR9++IHY2Fi6u7v58MMPCQwMpLe3lz//+c8kJSWRm5vL3r17+fjjjwkMDKS7u5uVlRWSkpJ46623GBwcBMDT05N9+/Zx+/ZtDh06xJMnTygsLOTq1asEBQWRmJhIYmLipo6xoig4OzvzwQcf2BxZWVmCpd+YYEmwpGaCJcGSIyZYspEjYGl9fZ2JiQnm5+dZWVlhYmKCyclJdDodExMTjI6OYjKZGBwcZHZ2lqWlJYaHh62flMvNzSUpKYmBgQFaW1tpamqyvt1148YNGhsbmZubo6+vj4iICEpKSpiZmaGlpYX29nYWFhbQ6XQMDAwwNzeHTqejt7cXjUbD6uoqfX19tLa2MjY2hk6nw2w2o9Fo6OnpsZ4pmp6eZmRkhJmZGcbHx1lZWWF1dZWxsTEGBweZnJy0fkLPVoqicPToUd59912bIzU11bpNvzXBkmBJzQRLgiV7JFiyT4IlGzkCloCXXrfFYmFxcZHJyUm0Wi1msxmDwWD9fmdnJ2tra1gsFsxmM2NjY9b5k8xm86b+cZnNZkwm00uBxGKxWD+Vt9kUReHOnTtkZWVRUVFBWVkZ2dnZVFRUUFFRQUZGBsXFxVRXVzM2NobBYJBPw/2GBEuCJTUTLAmWHDHBko0cBUu/pQ0I/dz2//hj9S+LHjVTFIXk5GQWFxfRarWsr6+zsLCAwWDAYDCg0WhYX19Hr9fbbdoAECwJltRNsCRYskeCJfskWLLRm4ClN62N252YzWbrePbM1LOfzLPnayZYEiypmWBJsGSPBEv2SbBkI8GSY6TX69FqtWi1WioqKn5yb7iNs2cb41W8VoIlwZKaCZYES/ZIsGSfBEs2Eiw5Ru3t7ZSWllJaWkpMTIxgScUES4IlNRMsCZYcMcGSjQRLjlFycrIVKteuXfsJltRIsCRYUjPBkmDJHgmW7JNgyUaCJceosrKS+Ph44uPjuXfvnmBJxQRLgiU1EywJlhwxwZKNBEuO18YF3monWBIsqZlgSbBkjwRL9kmwZCPBkuMlWBIsqZVgSbCkZoIlx02wZCPBkuMlWBIsqZVgSbCkZoIlx02wZCPBkuMlWBIsqZVgSbCkZoIlx02wZCPBkuOlKApnz57l8OHDLzX8/f1far2CJcGSmgmWBEv2SLBknwRLNvo9YUmn01FbW0t2djYZGRlkZ2ejKArZ2dnk5eUxMzNDbGws5eXldHZ2kpqaSn19PZWVlTx+/JiamhpqampIT0+nq6uLp0+fkpCQwPz8PPn5+WRkZNDf309hYSF5eXkMDQ3R1dVFSkoKeXl51pv72kpRFE6cOMHOnTtfanh4eLzU8REsCZbUTLAkWLJHgiX7JFiy0e8JS2azmcrKSqqrq4mPj8fHx4empiYiIiIICwtjYWGBTz75hKKiIubn53FycrLCJzQ0FEVRyMrK4tSpU0xNTZGYmMiBAwfQ6XQkJydz69YthoaGCAkJISoqiqKiItLT08nMzCQpKYkHDx5sajsVRcHNzY3t27e/1Dh37txLvZaCJcGSmgmWBEv2SLBknwRLNvo9YQn+CZG2tjYSExPx8PCgo6OD8PBwAgMDyc3NZevWrZSXl6PVatm5cyfh4eGEhobi6+tLXV0dmZmZfP/993R1dRESEsKOHTswm82kpKRw4sQJMjIyOH78OPfu3aOrqwtFUUhISODmzZubPuOjKAouLi589tlnLzVOnTolWHqBBEuCJTUTLAmWHDHBko1+b1iqqamhvb3diqXOzk5CQkJwcXGhqqqKXbt2UVlZiVarJTMzk+LiYh4+fEhAQAB1dXVkZGTw1VdfUVpaSlZWFl999RVms5nU1FQuXbpEVVUVFy9eJCwsjJKSEuvbfeHh4Vy4cGFT26goCseOHeOjjz56qXHixAnB0gskWBIsqZlgSbDkiAmWbPR7wlJlZSXR0dHU1NTw4MED69tsFy9e5MCBAwwPD/PRRx+RlJTEysoK6+vrzMzMEBkZiYeHB0+ePOHRo0d8/PHHlJeXk56ezpYtW1heXubu3bucPHmStrY2Ll26hK+vLw8ePODSpUsEBAQQGBjIgQMHWFpasrmdiqLg7OzMli1bXmq4uLhgMple+PgIlgRLaiZYEizZI8GSfRIs2ej3hKWKigoKCgoYGBigvLyc+Ph4GhsbSU9PJz09ncXFRYKCgqiqqrL+5200GqmpqSEtLY2GhgYqKyt5+PAhY2NjKIpCcHAwKysr5OXlkZiYyPDwMI8fPyY7O5unT5+SkpJCfHw8WVlZPHr0aNNYcnJy4r333nup4ezsLFh6gQRLgiU1EywJlhwxwZKNfk9YMpvNqu+jyWTCaDRisVgwm82beoyiKHh5eeHr64unpydXrlzBz88PPz8//P398fX1xc/PDx8fH7y9vfHy8sLb29u6THR09KbX9WyCJcGSmgmWBEv2SLBknwRLNvo9Yel1SVEUMjIyMBgMrK6uMj8/j8lksp4tMhgMmEwmdDod6+vrrK2todVqrcu8LAoFS4IlNRMsCZbskWDJPgmWbCRYcrx+PIP3xlmpXztbtLHMb3kNBUuCJTUTLAmW7JFgyT4JlmwkWHKMzGaz9cxQVVWV3O5ExQRLgiU1EywJlhwxwZKNBEuO0cLCAhMTE0xMTJCfny9YUjHBkmBJzQRLgiVHTLBkI8GSY5ScnGyFyrVr1wRLKiZYEiypmWBJsOSICZZsJFhyjARLgiXBknoJlgRL0vMJlmwkWHKMVlZWWFhYYGFhgeLiYsGSigmWBEtqJlgSLDligiUbCZYcrx9/Gk6tBEuCJTUTLAmW7JFgyT4JlmwkWHK8BEuCJbUSLAmW1Eyw5LgJlmwkWHK8BEuCJbUSLAmW1Eyw5LgJlmwkWHK8FEUhMDCQmJgYVUdYWBjOzs44OzsTERHxSteVlJT0k/0WLAmW1EqwJFiSnk+wZKPXFUvr6+sMDAzQ3t5Oc3MzHR0djI6O0tjYyNDQEGazmeHhYUZHR+nq6qK1tZW5uTkGBwcZHh5meXmZiYkJmpub6ezsRKfTMTIyQn19Pa2trYyPj6PX67FYLExNTdHS0kJfXx+zs7MMDAzQ1tZGXV0d7e3tzMzM0NnZSXNzMy0tLUxPT2MwGDAYDExOTtLc3ExPTw96vX5T+6YoCidOnGDXrl1v7Dhw4AA6ne65e+YJlgRLaiVYEixJzydYstHriqWVlRWKi4vJyckhIiKCu3fv0tzcTEhICElJSRgMBtLT02lvbyctLY379+9TUVFBTk4OVVVVNDY2kp2dTUZGBuHh4XR0dFBXV8epU6coLS0lKCiIkZERuru7qaqq4smTJ6SkpJCbm0tlZSU5OTm4u7ujKAr19fUkJiYSEhJCRkYGSUlJ9Pb20tbWRm5uLkVFRaSkpJCfn7+pfVMUBTc3N3bs2PHGjm+//Zb+/n5MJhMGgwGz2SxYEiyplmBJsCQ9n2DJRq8rlgCqq6tpbW3l0aNHnDlzhtnZWeLi4jh16hRra2sEBwej0Wh4/Pgxly9fJjAwkNzcXIaGhqiuriYxMZG8vDyuXbtGYmIivb29vPPOO1RXV/PFF19QV1fHnTt3yM7OZmxsjNLSUrKyshgZGaG5uZktW7ZgMpno6uoiISGBy5cvExcXx+nTp8nNzSU0NJTg4GCWlpZIS0vjm2++QafT2dwvRVFwdXXliy++eGPH7t27aWxsxGg0otfrMZvNJCYmCpZUTrAkWFIzwZLjJliy0euMpdraWtrb261YslgsdHR0sGvXLqqqqoiOjkar1ZKdnY2rqyv79+8nNzcXnU7H+Pg4JSUlREZGcu7cOWJiYujr6+Mvf/kL9+7d49tvv0VRFI4fP05cXBx6vR6DwWDFzgaWNkpNTcXFxYXz589z9uxZcnNzuXbtGv7+/gCUlpayfft2FhYWbO7Xxno//vjjN3bs3LmTpaUlLBYLJpNJziwJllRdt2BJsCQ9n2DJRq8jlkwmEzMzM5SUlNDS0sL9+/dxd3fHZDIxNzfHvXv32L59Oz09PZhMJlJSUvDx8eH48ePcvHmT1tZWEhISOH/+PJWVldy8eZN79+7R2trKe++9x9DQEN9//z2xsbG4uLjg7e1NbW0t3d3d1uuhampqeO+996zXIcXGxuLp6UldXR3fffcdYWFheHt7c+nSJeu2uri4YDAYbO6foigcO3aMv//972/s2LFjx3NYslgsgiXBkmoJlgRL0vMJlmz0OmJpaWmJgIAAwsLCqKmpwdvbGxcXF+bn5zGbzQwNDfHdd99ZfwgHBwfj5ubGkydPuHz5MsHBwURHR3Pw4EHOnz/PmTNncHV1JSUlhXfeeYfY2FicnJyorKykpqaGw4cP88knn3Dr1i16e3tZWVkhPT2d9957j8HBQeCfP/CcnJwIDg7mzJkzlJWVUVNTQ0BAAHfu3CEtLe2FrllycnLigw8+eGPHF198YX295MySYEmwpE6CJemXEizZ6HXEEmD9AftsFouFtbU1+vr6yMjI+NX9sVgs1utlNn7/S+n1elZXVzf9abYfP3Z5efmF5i1SFAVnZ+fncPHhhx/y4Ycf2vzas9979tdfGj/+/nvvvcd77733i8v+2vP93Dp/6fefffYZdXV16PV6jEajnFkSLKm6bsGSYEl6PsGSjV5XLP1cDQ0N7Ny5kwsXLqDVau363L/l2Fgslhd6vKIoxMbG0t/fT29vL4ODg0xMTDAxMcHg4CC9vb309/czNjbGxMQEIyMj9PX10dvbS1dXF83NzYyPjzMwMGB9TENDA0NDQ3R3dzM4OMjIyAgjIyNMTEwwPDxMV1cXPT093Lx5k+vXrzM4OEhHRwcjIyO0tbVZfz86Osrw8DADAwM0NjbS399PT0+PdV2NjY2Mj48zNDREX18fIyMj9PT00NXVxeTkpHXbe3t7GR4etmIVZOoAwZJ6CZYES9LzCZZs9CZhaXV1lb6+Pubm5v7Vm/KbUhSFtLQ01tfX0ev11rNoBoOBtbU1tFotRqMRs9mM0WhEq9ValzUYDGi1WvR6PWtra9a3uZ792sZzbpxZ0+l0rK+vMzc3h5eXF9evX2dxcZHV1VWMRiM6nQ6dTmedO8poNFrXu3HR+8bH/ze2Ta/XW9ezsczGc238eWOepY0ES4IltRIsCZak5xMs2ehNwtKzFwu/zm3c7uTHZ6Q2JnD88f793HK/9rVf+vrG7U68vLxYXV21Lvdrj3321x9/7de26efOtgmWBEtqJVgSLEnPJ1iy0ZuEpdc5rVbLysoKKysrlJWVWbFkNBoxGAyYTKZfffyzy/74Wq4fL7dxRurHz/nje8Nt4HPjzNYv/f3YAOrGsr+03LPTBGws+2yCJcGSWgmWBEvS8wmWbCRYcoyePn1KYmIiiYmJ3Lt3z3oj3Q1Y2HptNhD0a6j5uWWf7eew9HNnlH7u+TaznK1lBUuCJbUSLAmWpOcTLNlIsOQYJScnW6Fy7do1K5bU7MdYUjvBkmBJrQRLgiXp+QRLNhIsOUYdHR2UlZVRVlZGbGysYEnFBEuCJTUTLAmWHDHBko0ES47XxgXeaidYEiypmWBJsGSPBEv2SbBkI8GS4yVYEiyplWBJsKRmgiXHTbBkI8GS46UoCpGRkbS1tdHf36/aegVLgiU1EywJluyRYMk+CZZsJFhyvBRFwd3dnd27d+Ph4aHaegVLgiU1EywJluyRYMk+CZZs9DphyWQysbKygsFgsH78XavVWmeSXl1dZX19HaPRyPLyMlqtFp1Ox8rKinVOH6PRaJ3t2mKxWB+3srKC2Wy2znW0urrK6uoqWq3W+uvGPeK0Wi0mk4nV1VXW1tZYXV3FZDKxtraGTqezfiRfp9OxtrZmc46kHydYEiyplWBJsKRmgiXHTbBko9cJS2NjY4SEhNDa2opOp2NmZobs7Gzy8/Npa2sjJiaG9PR0hoaGuHXrFvn5+VRWVhIaGsrIyAgWi4XOzk7S0tKora1lZWWFtrY2YmNjCQsLY2ZmhrCwMB48eEBERASRkZHk5+cTExNDSUkJtbW1REZGUlBQwNTUFHFxcaSmphIaGsrU1BSxsbEUFxej0WgwGo0UFRWRkpLC9PT0C+2noiicOHGCr7/+mgsXLryag/kzCZYES2omWBIs2SPBkn0SLNnodcKSxWLh22+/5ezZs/T29pKXl8fRo0d5+PAhAwMDPHjwgEePHjEyMsL//u//UlNTw8jICH/729+IjIxEo9Fw+/Ztjh07RllZGYqicOvWLZqamnB3d+fKlSt0dXVx48YNHj16RGFhId3d3Xh5eREfH09paSkXLlwgNTWVubk5srKyWFpa4u2336a9vZ3AwEB2795NdXU17e3tHDp0CE9Pzxc+roqi4OrqyhdffMHp06df0dH8aYIlwZKaCZYES/ZIsGSfBEs2ep2wBBATE8Onn37KkydPyMnJ4dixYzx8+JDBwUEePnxIYGAgERERfP3119TX1zM+Po6/vz9OTk7W2bE9PT3Jz88nMzMTFxcXqqurKS0tpb29HaPRSEBAAI8ePWJ8fJz5+Xm8vb3x9fUlMjKSS5cukZaWhtlsZm5ujvj4ePbt28fCwgIZGRns2bOHtLQ0SkpKOHjwIH5+fi+8j4qicPz4cT755BPc3d1fwVH8+QRLgiU1EywJluyRYMk+CZZs9LphKSsri5MnT3Ly5EmSkpLw8/MjPDycwcFBbty4gYuLCzU1Nezbt8+KpcLCQvbs2cPly5cJDQ3l9u3bFBcXk5CQYIXO4uIiHR0dWCwWAgMDefToEdPT02g0Gk6ePMmFCxfIzMzkzp07pKWlAf/8j2diYoI9e/ZQWlpKcnIykZGRnDp1iujoaE6fPv3SWDp27BgfffQRbm5u9j6Ev5hgSbCkZoIlwZI9EizZJ8GSjV4nLM3MzODv709ycjK3bt0iLCwMNzc3rl+/TnV1NW5ubpw4cYKOjg4+/PBDEhMTKS4uJjw8HH9/f+Lj47l58yaurq6kpaVRWVnJ/v37+eabb/D396e3txetVouLiwsXL16kr6+P1tZW9u/fj4+PD48fP8bd3Z2QkBAWFhaorq6moqKC999/n+LiYjw9PSktLcXb25uEhATc3Nxwc3NjYWHhhfZTURScnJz44IMPOHbs2Cs6mj9NsCRYUjPBkmDJHgmW7JNgyUavE5bW19dpa2tjenqaoaEh+vv7aWhooLOzk5mZGRoaGmhtbWVpaYmSkhIGBwcZHx+nt7eXwcFBpqam6O7upr6+ntHRUTQaDYqikJqaiqIo1k+11dfX09zczPLyMvPz89TU1NDT08PExAQNDQ309PSg1WoZGxujs7OT/Px8ZmZmaG1tZW5ujt7eXsbGxmhqaqKxsRGtVvtC+6koCjdu3CAsLEzVySkFS4IlNRMsCZbskWDJPgmWbPQ6YelVZDab0ev11o/7v0gWi4X19fUXnhrAVoqikJCQwOTk5AuflfotCZYES2omWBIs2SPBkn0SLNno944lR2zjdidqvx6CJcGSmgmWBEv2SLBknwRLNhIsOV5ybzjBkloJlgRLaiZYctwESzYSLDlGq6uraDQaNBoNJSUlgiUVEywJltRMsCRYcsQESzYSLDlGLS0tFBYWUlhYSHR0tGBJxQRLgiU1EywJlhwxwZKNBEuOUVFREeHh4YSHh3P79m3BkooJlgRLaiZYEiw5YoIlGwmWHC+5ZkmwpFaCJcGSmgmWHDfBko0ES46XYEmwpFaCJcGSmgmWHDfBko0ES46XYEmwpFaCJcGSmgmWHDfBko0ES46XYEmwpFaCJcGSmgmWHDfBko0ES46Xoih4eHhYbxj8ssPDw+OFXlPBkmBJzQRLgiV7JFiyT4IlG71KLM3OzlJZWUlJSQmjo6Pk5eVRWFiIwWBgaGiI4uJiCgoKmJmZYWxsjOLiYmpra+nr6yMvL4/q6mrW1tZobGwkKyuLxsZGFhYWKCsro6SkhKGhIerq6mhoaGBiYoKqqiqqq6uJiopCURTr/nR1dZGdnY2iKAwNDfH06VNKS0vp7u6msrKSnJwcWltbSUpKYmBggKamJh4/fszQ0BAGg4Hh4WHKysooLS1lYGAAgLW1Nerr68nOzqa5uZmxsTFKSkpIT08nJyeHiooKGhoaKCsro6KiAo1Gs+njpigK7u7u7N69+zeNgwcPCpY2kWBJsKRmgiXBkiMmWLLRq8SSRqMhJSUFPz8/xsfHefjwISEhIczNzREREUFNTQ1nzpwhLS2Nnp4eQkNDiYqKoqGhAW9vb8LDw6muriYzM5Oenh5OnjzJyMgId+/eJSEhgYKCAtLS0qivr6euro4rV64QFBREdHQ0X375JaOjozQ0NPDkyRPKy8s5efIkaWlp3Lt3j7t37zI5OUlmZiaXLl2iu7ubbdu2odFo6OzsxN3dnba2Nvr7+0lPT6e0tJTMzEyCg4NpaGigqqqK7OxsWltbcXJyorKykr6+Pi5cuEBKSgrV1dU0NDQQFRVFcHAwer1+08dNURROnDjBzp07f9P4/vvvBUubSLAkWFIzwZJgyRETLNnoVWJpdXWVuLg49u/fT1FREZcuXSIgIICysjKuXr3K06dPiYiIoKKigpGREe7cuYO3tzdZWVlcuHABPz8//P39efr0KUajkaKiIlZWVvDz88PDw4OgoCBKS0tZWFigtraWS5cukZycTHt7Ozt27CA3Nxd/f3/i4uKorq7m/v371NTUcOPGDU6cOEFFRQV3797F1dWVkZER/vu//5u6ujqys7PZs2eP9WzTvXv3aG9vp7a2Fm9vb65du0ZgYCA1NTVotVpycnIYGxvDYDDg4uLC48ePmZqaYnJyknv37uHk5ERdXR3Dw8ObOm6KouDm5sa2bdt+09i7d69gaRMJlgRLaiZYEiw5YoIlG71qLCUkJHDkyBEURcHb25uAgAAeP36Ms7MzTU1NjI6OMjw8zNjYGH5+fri7u5Oens7169fx8vLC3d2dx48fY7FYmJ2dxWAw4Ofnh5eXl/VMkcFgoKmpievXr1NeXs7c3BynT58mOzubM2fOcO/ePdra2ujq6mJqaoqbN29y7tw5mpqaCAsLw83NjZGREf7yl7/Q2dlJaWkpe/fupa2tjQcPHnDjxg3a2tro6ekhJCQEV1dXzp49S35+PhaLhenpaUwmEwCurq48fvyYtbU1lpeXuX//Pu7u7uTk5HDjxg3m5uZsHjdFUXBxceGzzz77TWP37t2YzeZNv16CJcGSmgmWBEv2SLBknwRLNnqVWJqZmeHevXu4uLjQ39+Pp6cnHh4edHR0sHPnTm7fvk1qaiodHR10d3dz6tQpTp48SUFBAVevXuXq1auEhoby7bffkpKSQk5ODnNzc5w/f56AgACuXr2Kr68vdXV11NbWcuXKFSIiImhvb+f8+fMMDAyQlpbGkSNHCAoKIj09nY6ODq5evWr9fnh4OPv376ehoYE//vGPTE1NUVtby/bt26mpqaGiogJvb28SEhIoKioiMjKSjIwMgoKC+OGHH0hLSyM3NxetVsv6+jr79+8nLCyM2dlZJiYmuH79Om5ubsTGxvL9998zOTlp87gpisLx48f5+OOPf9P4+uuvBUubSLAkWFIzwZJgyRETLNnoVV/gnZmZycOHDxkeHiY6Opro6Gj0ej3BwcGcP3+eO3fu0N/fz8jICFFRUaSlpdHZ2Ul0dLT1WqaTJ0/i7+9Pfn4+8/PzREdHk5yczNOnT0lLS6O0tJSamhouXrzIrVu3qKurIy0tDYvFgkajwdfXFw8PD2JiYujs7CQxMZGoqCh6e3vJzs7m7t27NDc3c/LkSet1TtevX6ezs5Pl5WWys7NJTk6moKCAqqoqVlZWaG1t5dSpU9y8eZPi4mL0ej0rKysEBQXx+PFj5ubmmJycJCkpieDgYLKyskhMTNzUtUuKouDs7MyWLVt+09i+fbv1jNdmEiwJltRMsCRYskeCJfskWLLRv3LqgOXl5U395TaZTCwvL//i9lksFurq6rh27Ro5OTksLy8/932z2czq6ioGg+Glt3V9ff05QFgsFoxGIysrKy/9nL+UoiicP38eZ2dnnJyccHZ2to7Dhw8/N44ePWodTk5Ozy1/5syZF/rPQ7AkWFIzwZJgyR4JluyTYMnO4WcuAAAgAElEQVRGb8I8S2azmYaGBvz9/cnLy/tXb85vTlEUoqKiaGtro6WlhdbWVtrb22lvb0dRFGpqaqitraWmpobm5maamppoamqira2N1tZWWltbaWtrs05zsNkES4IlNRMsCZbskWDJPgmWbPQmYMloNKLRaBgeHmZycvK13Y+NFEUhIyMDo9GIVqtlbW0Nk8lkPcOm1+sxGo3odDrr22xmsxmTyYTRaGR1dfWlfvgIlgRLaiZYEizZI8GSfRIs2ehNwNKb1q/d7uRZFOn1+he6JslWgiXBkpoJlgRL9kiwZJ8ESzYSLDlGFovFOjYm4lQ7wZJgSc0ES4IleyRYsk+CJRsJlhyjzMxMbty4wY0bN/D19RUsqZhgSbCkZoIlwZIjJliykWDJMUpOTrZC5dq1a4IlFRMsCZbUTLAkWHLEBEs2Eiw5RvPz84yPjzM+Pk5eXp5gScUES4IlNRMsCZYcMcGSjQRLjtevXeD9KhMsCZbUTLAkWLJHgiX7JFiykWDJ8RIsCZbUSrAkWFIzwZLjJliykWDJ8RIsCZbUSrAkWFIzwZLjJliykWDJ8VIUhaCgIDIyMsjIyKCwsFCV9QqWBEtqJlgSLNkjwZJ9EizZ6EWwZDab0Wg0dHV10dfXx8DAAK2trczNzVlnlx4eHqanp4f5+XnrjWx7enro7++nq6uL8fFxlpeX6e3tZXh4mKamJqanpzGZTKysrDAyMkJvby8TExOsr6/T09PD2toaw8PDtLe3s7y8zNDQENPT0ywvLzMxMUFnZyejo6Po9Xrm5+fp7u6mvb2dvr4+RkZG0Ov1TE1N0dHRweTkJDqdjtnZWXp7e+nr66O7u5uZmRkWFxdpaWmxbs9Gi4uLDA4OMjAwwOzsLLOzs3R3d9PR0WFdR39/P93d3XR3dzM3N4fRaMRoNFqXHRoa2vS96RRFwd3dnd27d7N7927c3Nwwm82/6XXeTIIlwZKaCZYES/ZIsGSfBEs2ehEsGY1GOjo6CAwMJDs7m4qKCo4dO0Z3dzdra2uUlJRQUFBAcnIyeXl5jI+P09PTQ2JiIvn5+fj7+1NZWcnQ0BAeHh6kpqbi6+tLfHw84+Pj1NfXk5qaSkpKCvHx8YyNjREXF0dDQwM5OTl4e3vT3NxMeno6tbW1KIpCbm4ucXFxJCcn09vbS3NzM0+ePOHixYsUFBRQUFBAQ0MDlZWVREdHExcXR0dHB83NzaSlpZGRkYG/vz8dHR2MjIzg7OxMa2srer0eAI1GQ11dHXl5eSQlJZGenk5TUxPp6elcvXqVwsJCCgoKiI+P5969e6SmppKRkcHQ0BC9vb0UFBSQk5NDamoqlZWVm3pNFEXhxIkT7Ny5k507d+Li4oLBYLDrbN0/l2BJsKRmgiXBkj0SLNknwZKNXvRtuNbWVs6cOUNLSwsrKyv84Q9/YHZ2lsHBQTw8PKirq6OhoQEvLy/i4+MZGBiguLiYvr4+Dh06RGtrKzMzM/z5z38mMzOTmJgYvv/+e3JycsjOziY2Npbk5GRcXV3p6+ujvLyc8PBw4uPj+eabb3j48CG5ubn09/eTnp5ufavK39+f9PR0+vv7GR0d5ZNPPmFsbIz29nY8PDwoKiqitLQULy8vcnJy6OjooLKykurqar7//nvm5+dZXl7mD3/4A93d3UxPT6PX6ykuLiYpKYnOzk4KCwsJDg5maGiItrY2du3axcTEBK2trSQkJHDt2jXS09M5deoUOTk5PHjwgJCQEDQaDSkpKezdu3dTZ5cURcHNzY3t27ezfft2nJyc0Ol06HS6V/pWqWBJsKRmgiXBkj0SLNknwZKNXgZLZ8+etWLpj3/8I7Ozs2RnZ3PhwgWam5tZWVnBy8sLb29vBgcHKSsrs2Kpo6MDi8XCO++8Q19fH1qtliNHjlhhlZ+fj4+PD0ePHmVkZASNRkNAQADHjx9ny5Yt7Nu3j4aGBgwGA2NjY5SWlnL79m0uXrxITk4OABMTE1Ysmc1mvvvuO+Lj42loaKCpqYmpqSm6urqorq62YmlhYYHl5WX+8z//k+TkZCIjI+ns7CQgIICIiAjGx8cxmUxW7HR2drJr1y6mpqYASE1NxdnZGVdXV86fP09BQQGenp7cuHEDgNLSUrZt28b8/LzNY6woCi4uLnz++ed8/vnnHD582Pq23qtMsCRYUjPBkmDJHgmW7JNgyUYvgiWLxUJzczMnT56kvr6excVF/uM//oPJyUlqa2txcnKipKSEubk5QkJCCA0Npaenh+LiYtrb2zlw4ADNzc1YLBb+53/+h/b2djQaDVevXiUzM5OgoCACAgLIzc3l9OnTdHZ20tDQwNtvv01WVhY//PADJ06cIDAwkL6+Pm7evElISAglJSXcvn2bzMxMLBYLo6OjbN26lcHBQUwmEz/88AORkZEMDAzQ09PD4OCg9a25yspK9u3bx/T0NBqNhv/8z/9kbGwMT09PAgMD8fHx4cqVKxQUFDA0NMTQ0BAmk4m2tja++uor6w+4hIQEfH19aWlpYd++fYSGhnLlyhUuXbrE8vIyZWVlHD16dNNnlo4fP87HH3/Mxx9/zMGDBwVLrzDBkmBJzQRLgiVHTLBkoxfBksFgoKSkhB07dhATE0NbWxv/7//9P6qqqtDpdHh6euLn50dQUBBpaWmUlJQQFhaGv78/wcHBfPDBB0RFRWE2m/n3f/937t+/T3BwMNnZ2YyOjuLr68sXX3yBq6sre/bs4cqVKxw9epSAgAACAwN59913KSoqYseOHURGRuLp6ck333yDi4sLhw8fxtvbm+XlZRoaGnjrrbdIS0tDp9Px9OlT3nnnHd5++22uX7+On58f58+fJzc3l5SUFLZs2UJ5eTnt7e3827/9G8HBwRw4cIDs7Gz6+/txcXHh7bffxs3NjZKSEnQ6HcXFxfztb3/jyZMnWCwWrl69yt69e7lx4wbOzs4UFhby9OlTvLy88Pf3JyEhYdM/kBRFwdnZmS1btrBlyxa+++47wdIrTLAkWFIzwZJgyRETLNnoRd+GM5lMrK+vYzAYMJvNrKysWC881uv1zM3NodFo0Ol0VFRUEBMTw/LyMlqtlt7eXi5fvozJZOL//u//qKmpYXFxEb1ej8ViYX19naWlJVZXV1lZWUGv16PVatHr9ej1etbW1p5bv06nY3l5mdXVVdbX11lfX8disWAymVhbW7P+wzGZTGg0Gqanp1ldXUWr1bK+vm4FyPr6OiaTCbPZzOrqKgaDAa1Wi9FoxGw2s7a2xszMDAsLC9Z9/fE6nt1WnU6HyWSyfsJvbm6OpaWlTf9DVhSFo0eP8u677/Luu+/yzTffCJZeYYIlwZKaCZYES46YYMlG9p5nyWw2W59nZWXFOoUA/PPM1OjoKBMTE/zXf/0XTU1NP/nL/aLbYLFYNvUYi8Xy3La9aJtdjz3WqygKERER1NfXU19fT1tb20uv/0USLAmW1EywJFiyR4Il+yRYstGrnJRyAwrPZjQaGR0dJS8vj9HR0U3PPfR7SlEU0tPT0el0rK+vo9VqVVmvYEmwpGaCJcGSPRIs2SfBko3+FTN4a7Va1tbWrG+/Sc/37O1O1DijtJFgSbCkZoIlwZI9EizZJ8GSjeR2J46XoihkZGSoMmv3swmWBEtqJlgSLNkjwZJ9EizZSLDkGDU1NZGXl0deXh6RkZHWaRDUTLAkWFIzwZJgyR4JluyTYMlGgiXHKDk52QqVa9euWd+GUzPBkmBJzQRLgiV7JFiyT4IlGwmWHKPGxkZyc3PJzc3l0aNHgiUVEywJltRMsCRYcsQESzYSLDlez17grWaCJcGSmgmWBEv2SLBknwRLNhIsOV6CJcGSWgmWBEtqJlhy3ARLNhIsOV6CJcGSWgmWBEtqJlhy3ARLNhIsOV6KopCUlMTc3Jyqo7+/Hw8PDzw8PBgdHVV9/ZGRkXh4eJCXl/fc1xcXF1/p8RYsCZbUTLAkWHLEBEs2chQsmUwm6/3PNobZbMZsNlu/ZzAYrLOCP/t9o9Fovbfbj5/j2ec1mUzWfXx22We/9uN1PbvsxjqeXWZjO3683Rs9+9jNHl9FUXB3d2f37t0ydu/m0qVLdv7b9nyCJcGSmgmWBEuOmGDJRo6ApbW1NYqLi4mKiiIlJYWYmBji4uLo6OigqqqK7Oxs7t27x927d5mdnaW1tZWYmBgURaG6uprY2FgqKiro6+sjLCyMR48eER0dTXR0NBUVFURERBAVFUV5eTlzc3OYzWa6u7uJjY0lNTWV4eFhdDodiqKQm5vL/fv3uXv3LmNjY5jNZpqbm4mKiiInJ4eOjg4KCwuJj48nODiYxMRE2traSE1NJTIykqioKFpaWlhbW2N9fZ2GhgYiIyN5/Pgxq6urmzoeG1jatWuXjF278PDwsN7A+FUkWBIsqZlgSbDkiAmWbOQIWLJYLMTExBAaGkpfXx9paWk4OzszPT3N/fv32blzJ0+fPmXHjh0EBwfT2trKxYsXycnJIScnhytXrpCWlsbIyAgVFRX4+/sTFxdHWVkZAwMDHDp0iLq6Ok6dOkVqairFxcVER0fT2dlJQUEB33//PSMjIzx69Igvv/ySoqIi9u7dS0BAAIGBgRQUFNDc3Ex0dDTBwcE0NzdTX1/P559/ztLSElVVVcTFxREQEEBVVRUXL14kPz+fpKQkIiIiGBkZISEhAXd3900dD0VRcHNzY8eOHTJ27OD8+fM/OWNnzwRLgiU1EywJlhwxwZKNHAFLAFFRUYSGhjIyMkJGRgaHDh1icXGR1NRUXFxcWF1dJS4ujpMnT6IoCufOnSMoKIjw8HAuX75MdnY2BoOBoaEhfH19SUpKYmVlhampKb744gsuX77MwYMHyc3N5fbt23h6erK2tkZjYyPHjh3j8ePHZGVlceTIEWZmZkhJSeHs2bN8+umnZGRkoNPpWFhYYHZ2Fq1WS3NzM1u2bMFisbC6ukpKSgrOzs64uLjg4eFBaWkp169f59atWxiNRgoKCti2bRsLCws2j4WiKLi6uvLll1/K+PJLzpw5I1h6RQmWBEtqJlhy3ARLNnJELGVmZnLo0CGWlpbIysrizJkzmM1mioqK8PT0pL6+niNHjuDr60tKSgq3bt0iJycHgPHxcSuWLBYL09PT/OMf/yA3N5fz589z//59zp8/z4ULF5ienqa9vZ0LFy5QVFREXl4eLi4uLC8vU15ejq+vL3//+98JDQ1Fo9GwuLjIzMwMgBVLG6WmpnLt2jXy8vI4fPgwkZGRXLx4kWvXrmGxWKioqOCbb77Z1KfMFEXBxcWFTz/9VMann3Lq1CnMZvMr+/spWBIsqZlgSbDkiAmWbOQIWNLr9QQGBnLhwgWqqqp4+PAh27Zto7+/n9TUVD7//HM6OjoICAigpKSEqqoqdu7cSVBQEMnJyZw+fZqYmBiMRiM9PT0cPXqUmzdvotVqqa2t5eOPP+bRo0e4ubkRHh5OVlYWfn5+hIWF8eTJE27dusX4+Dg5OTls3bqV2tpagoKCyM/P5+HDhxw9epSTJ08SHx9Pb28v6+vrZGdn85e//IXJyUkAAgICcHJyIiYmhoMHD5KamkpSUhJXrlwhPT2djIwMQkJCNnV2RFEUjh07xtatW2Vs3Yqbm5v14vpX9fdPsCRYUivBkmDJERMs2cgRsGQ0GmloaKCiooKRkRFaW1vJzs5mfHyc9PR0vv32Wzo7O3n69CkajYaJiQny8vLo7Oykr6+PsrIyOjs7MZlMzM/PU1hYSF1dHUajkdHRUTIzM2lsbKS8vJze3l7m5+dpbm6mrKyMlpYWOjo6WF9fJzc3l127dtHQ0EB1dTWzs7NMTU2Rk5NDfHw8NTU1aDQa9Ho9vb29JCYmWj/WXldXR2FhIU1NTZSXlzM6Osrk5CQ1NTVUVVXR3t7O0NDQpo6Hoig4OTnxwQcfyPjgA44fPy5vw72iBEuCJTUTLDlugiUbOQKWfqmFhQViY2NxdnZGo9HY9YelxWLBYDCg1WoBWF1dJSkpiYMHDzI+Pv7cp69MJhN6vf6lPpG18ViDwbDpxyiKgpeXF35+fly/fh0/Pz98fHzw9vbmypUrzw1PT098fHzw9fXF39/furyvry8+Pj4/Wf7KlSt4e3vj6+uLn58f/v7+1ue+evUq+/btY9++fXh4eFiX9fb2xsfHx7r8xnNvfP3Z5/by8rJ+78fb7+Pjg5eX10+2Z+Mxzs7OfPfdd5w+fRpfX1+8vLy4evUqkZGRgqVXlGBJsKRmgiXHTbBkI0fG0uLionXagPX19Ve6fWtra+Tm5nLnzh0WFhb+pcdCURRiY2MZGhpiZGSEgYEBent76e3tpa2tja6uLuvo6+tjcHDQuuzG8n19fQwMDNDR0fGTxwwMDDA0NMTw8DDDw8P09vbS19dHS0sLXl5eeHp60tzcTEdHBwMDAwwODjI4OGhdvr+/3/qYjXX8+Ln7+/sZGhpidHTUuv0DAwP09PT87PYMDg4SERGBl5cXT548YXBwkN7eXjo7OxkfH39uPix7J1gSLKmZYEmw5IgJlmzkyFgyGAxMTU0xPT2NTqd7pdtnNBqZmppiamoKrVb7L8dSRkYGJpPJemZKq9Wi1+tZX19/bqLNjQufn53AU6/Xo9PprL//tccYjUZ0Oh0Gg4H5+XkCAwMJCAhgeXkZnU5nPZvz7GScG89vMBgwmUxotdqfTPD57ESgG8tvrGt9ff0nk4KazWZSU1Px9/enurraOunnxja8qrNKIFgSLKmbYEmw5IgJlmzkyFj6vfZL94azWCzPzSK+mVnBX+QxGo0Gf39//Pz8WF5efm4W8197/g00beZtyo3teHZ7NvrxveE2EPWq/14KlgRLaiZYEiw5YoIlGwmWHKOFhQXGx8cZHx8nPz9fbqSrYoIlwZKaCZYES46YYMlGgiXHKDk52QqVa9euCZZUTLAkWFIzwZJgyRETLNlIsOQYZWRkcP36da5fv46Pj49gScUES4IlNRMsCZYcMcGSjQRLjtGzF2lXV1cLllRMsCRYUjPBkmDJERMs2Uiw5Hj90gXerzrBkmBJzQRLgiV7JFiyT4IlGwmWHC/BkmBJrQRLgiU1Eyw5boIlGwmWHC/BkmBJrQRLgiU1Eyw5boIlGwmWHC9FUfDx8SEgIOClR3h4+AvdYgUES4IldRMsCZbskWDJPgmWbPQ6YWlqaorGxkaqq6uZm5tjcHCQ6upqenp6GBoaorKyktbWVurq6mhvb7fuT0tLC62trfT09FBdXU1XVxdra2uMjY3R1tbG4uIidXV11NfXU1FRQW1tLevr6ywvL9Pc3ExpaSm1tbUMDg7S3d3N06dPGR0dpaOjg9LSUmZmZqisrKS5uZmJiQkURaG9vZ3V1VVmZmaoq6ujvLwcRVE2hRBFUXB3d2fXrl0vPY4dO8bU1NQLHV/BkmBJzQRLgiV7JFiyT4IlG70OWLJYLCwvL5OYmEhDQwO3bt2ipqaGiooKHjx4QElJCSUlJVy8eJGioiIePnzIyZMn0ev1rKyscPLkSVJSUujq6uLmzZvExcWxvLxMa2sr2dnZzMzMkJ6eTkNDAwEBAcTFxbG0tERkZCTx8fHcunWLiIgIurq6yM3N5erVq4yPj1NeXo67uzsLCwt4eXmRnZ1NX18fFy5cICUlheHhYVJTUwkJCSE+Ph4/Pz/rjXt/LUVROHHiBF9//fVLD2dnZ2ZnZ1/oNiGCJcGSmgmWBEv2SLBknwRLNnodsGQymaipqcHHx4eZmRkKCgro7OykvLycoKAgEhMTCQ8P5+jRo1RWVhIaGsqePXtoaGigtraWzz//nOTkZBYWFnjw4IEVWzU1NTQ2NrKwsEBubi5zc3NcvXqVmJgYlpaW8Pb25saNGxw/fpxbt24xNjZGRkYGR44cQafTUVNTw44dOzCbzbi6upKdnY2iKGzfvp3Y2FjGxsa4e/cup0+fJjg4GDc3t03tr6IouLq6sm3btpcehw8fZnJy0novuM0kWBIsqZlgSbBkjwRL9kmwZKPXAUsGg4Hk5GTOnz/P1NQUJpOJtbU1Kisr8fPz4/bt24SEhHD27FmePn1KXFwcCQkJnD59mtjYWA4ePEhWVhZLS0t0dXUREBDAxYsXKSwsZG1tjYWFBfLy8tBoNFy9epXY2FiWlpYoLi7mzJkzfPnllwQEBDA+Pk5mZiZOTk7odDpqa2v56quvMJvNuLm5ERoaSlFREXv27CEpKQmdTkdCQgKHDx/Gw8PjhbDk4uLCZ5999tJj//799PX1WW9mu5kES4IlNRMsCZbskWDJPgmWbPQ6YMlkMlFXV8f27dtJT0+ntraWgYEBnjx5wvHjx7l9+zaZmZm4urqSk5PDo0eP6O7uZuvWrTx+/Jhvv/2WuLg45ubmMJlMhIeH4+zsTElJCaurq9TX1xMXF4dGo+HUqVOEhIQwMTFBamoq3t7e7N+/H39/f7q6ukhISGDv3r0MDg6SnZ3NJ598wsrKCj/88ANnzpyhs7OTAwcO8OjRI8bGxoiIiODs2bPcuHGDI0eObOqia0VROHbsGFu3bn3p8e233zIyMrKpm+1uJFgSLKmZYEmwZI8ES/ZJsGSj1wFL8M9/5GfOnOHgwYN4eXnR09NDUVERPj4+ZGRkUFJSYr1WKCwsjLa2Nu7cucPw8DBnzpwhKirKesFzRUUF8fHxDA4OMjY2xsOHD4mMjGR+fp5Lly4RHBxMT08Pnp6eFBUVERoaSkBAALW1taSkpODk5ER+fj4PHz5k586dtLS04O7uTlRUFN3d3Zw9e5bo6GgKCwsJDw8nNTWV6OhoPDw8WF5etrmviqLg7OzMBx988NJjz5499Pf3W88sbea1FSwJltRMsCRYskeCJfskWLLR64KljTQazQt/JH4jrVbL9PQ0BQUFPH36FIvFYr3NyIvuu8ViYX19nYaGBnJyctDr9S+1TT+Xoii4ubnx1Vdf8fXXX7Njxw527NjBF198wbZt26x//vrrr/nqq6/YuXMnO3futH5927ZtuLq6sry8vOm34ECwJFhSN8GSYMkeCZbsk2DJRq8bln5LTU1NnDlzBh8fH3p6euzynBaLhbW1NbseO0VRuH//PpWVlTQ0NFBSUkJRURHx8fE8fvyYoqIiSkpKqKuro6qqiqamJpqbmykrK6OgoICsrCz6+/vp6up6ofUKlgRLaiZYEizZI8GSfRIs2ej3hCWz2czy8rLq/zG/aIqikJaWhk6nw2AwoNVqrcNoNKLT6dBqtRgMBvR6PQaD4bnf63Q6TCbTpqYpeDbBkmBJzQRLgiV7JFiyT4IlG/2esARY33pz5BRFISMjw3q9kdFotA6z2Wz9vclkeu77G9cmbfxZsLS5BEuCJTUTLAmWHDHBko1+b1h6Hdq4N9zG67EBvB//eaNf+vOLvp6CJcGSmgmWBEv2SLBknwRLNhIsOUbFxcVEREQQERHBnTt35Ea6KiZYEiypmWBJsOSICZZsJFhyjJKTk61QuXbtmmBJxQRLgiU1EywJlhwxwZKNBEuO0dDQEC0tLbS0tJCWliZYUjHBkmBJzQRLgiVHTLBkI8GS47VxzZLaCZYES2omWBIs2SPBkn0SLNlIsOR4CZYES2olWBIsqZlgyXETLNlIsOR4CZYES2olWBIsqZlgyXETLNlIsOR4KYpCeHg4tbW1dHR0qLZewZJgSc0ES4IleyRYsk+CJRu9aVgyGAzMzs4yPj6OVqtlaWmJiYkJVldXWVxcZGFhgfn5eebn55mZmWF0dJTFxUXMZjMajYaxsTHW19ettzGZmppCo9GwsLDAxMQEk5OTTE1NMTMzg0ajYWJiAr1ez8zMDFNTU+j1erRaLfPz80xPT7OysvLC+6AoCu7u7uzevRsPD49XcJR+PsGSYEnNBEuCJXskWLJPgiUbvUlY0ul09Pf38+TJEx4+fEh9fT01NTUEBgbS2NhIaWkpBQUFZGZmkpSURFxcHAEBASQnJ7O8vMzTp0/x8vJiYGAAo9HI4OAgISEh5ObmUlZWRnh4OA8ePCAqKoq0tDRKSkrw9/dnbm6OqKgoHj58yMjICG1tbTx58oSIiAhKSkpe+Ca7iqJw4sQJdu7cycWLF1/R0fppgiXBkpoJlgRL9kiwZJ8ESzZ6k7DU0dGBn58fo6Oj1NTUcOnSJfr6+ti7dy+ZmZlkZmZSWlpKWFgYrq6u3L9/nwcPHrBlyxY6Ozvp7e3l/fffZ2Jiwnp/NWdnZ8LCwhgdHeXJkyfcunWLjIwMmpubaWho4PPPP0er1eLh4YG3tzcNDQ2EhYVRWFjIrVu3uHTpEgMDAy+0H4qi4Obmxvbt2zl37twrOlo/TbAkWFIzwZJgyR4JluyTYMlGbxKWKisr2bt373O3BZmenuazzz5j69atlJeXYzKZKCgo4O7duzQ2NtLR0cGFCxdIS0ujr6+Pt956i9DQUHJzc1lYWODYsWMkJSUB/0TMrVu3KC0txWAw0NzczCeffEJhYSGXLl3Cz8+P6Oho/Pz8SEhIoLq6mq6uLpaXl19oPxRFwcXFhc8++4xTp07Z/Tj9UoIlwZKaCZYES/ZIsGSfBEs2epOwVFFRwfbt2+nu7sZkMtHW1sb4+Dj79u3j3Llz+Pn50dzc/ByWOjs78fLyorq6mv7+frZs2cLMzAy7du3i8ePH7N+//xexVF9fz5/+9Ceqq6uJiIggICCAtLQ0Tp48SX5+Pnq9nunpaSYmJl5oPxRF4dixY3z00UecOHHiVRyqn02wJFhSM8GSYMkeCZbsk2DJRm8SlsbHx7l+/Tp//etfcXV1pbS0lPz8fN5//33S0tJwcXEhICCA8PBwTp48SUBAABkZGQQGBqLRaMjIyOCtt97iwYMH7N69m+joaD799FOCgoLQaDRkZmZy+PBhIiMjmZmZISYmhj/96U+Mj49z4cIFjhw5QlNTExcuXODvf/87+/btIzU1FZ1O9+SFresAACAASURBVEL7oSgKzs7ObNmyBRcXl1d0tH6aYEmwpGaCJcGSPRIs2SfBko3eJCwZjUampqaoqamho6OD5eVlFhcX6e7uZnFxkZGRESYnJ8nOzub69evk5uYyMjLC9PQ0ZrOZhYUF2tvbmZ6eZnBwkLm5OXp7e5mensZoNKLRaBgaGmJ2dhaDwcDc3BwdHR0YDAbGxsYYGhpifX2d8fFx6uvraWlpYX5+/oWPq6IoODk58f7773Ps2LFXdLR+mmBJsKRmgiXBkj0SLNknwZKN3iQswT+vUzKZTJhMpp/9vtlsJiMjg8uXL1NSUvLK/nEZjcZf3AZbKYrC7du3SUhIoLCw0M5b9ssJlgRLaiZYEizZI8GSfRIs2ehNw5KtDAYDra2t5OXl0d3d7ZD7rCgKSUlJzM3NvfDF4b8lwZJgSc0ES4IleyRYsk+CJRv93rBkMplYW1tjcXGRtbU1h9znjdudqL1tgiXBkpoJlgRL9kiwZJ8ESzb6vWHpdUjuDSdYUivBkmBJzQRLjptgyUaCJcfo/7P3pk9tZfnh/v+QN5mqzIu8+KYqyYtUJZ3JJDOTSWUmvSbTru4ed3qm7Z62e4x3Y4Pbbtt4wwYDxmCwWQzGGLCNbfZNgACJRQLEZnaQ2HfEItCGFiQ9vxdduj9w2xbupgk9c56qT9lI99zPOeeee++jc6V7h4aGaGlpoaWlhZycHCFLW4iQJSFLW4mQJSFL2xEhSz4QsrQ9yMnJkUQlNDRUyNIWImRJyNJWImRJyNJ2RMiSD4QsbQ/q6urIzMwkMzOTxMREIUtbiJAlIUtbiZAlIUvbESFLPhCytP0Q31kSsrRVCFkSsrSVCFnavghZ8oGQpe2HkCUhS1uFkCUhS1uJkKXti5AlHwhZ2n4IWRKytFUIWRKytJUIWdq+CFnygZCl7YeQJSFLW4WQJSFLW4mQpe2LkCUfCFnafmg0Gi5cuMDx48e3NI4dO8bevXvZu3cvx44d2/L8+/fvZ+/evRw8eHBL8/r7+3Po0CH27du35W0+fvw4X3zxBXv37uXo0aNbnvvAgQPs3buXAwcObHnuo0ePSuPN399/S3MfO3YMPz8/Dh8+vOXtPnToEHv37sXPz29T1jc/P7/hY4uQJcHLELLkgz8VWZqbm6OiooKSkhJmZmYoKChgfn6ezs5OcnNzGRoaorGxkZKSEvr7++nt7SU3N5eCggKKioooLS2lo6MDlUpFdnY2mZmZzM7O4vF4GBkZQaFQUFlZyeDgIAAWiwWNRkNBQQFtbW2Mj49TWVlJdnY2RUVFVFdX09TURFVVFUqlEoPBsOG2aDQaTp8+ze7du0WIECHilaHX6zd8bBGyJHgZQpZ88KciSysrK8jlcvz8/KiqqiIrKwu73c7IyAgBAQF0dXXx+PFjIiMjqampYXBwkKKiIm7fvk1WVhZyuZzHjx+zf/9+SktLOXToEKmpqajVanJzc6mtrZWWb2pqoq6uDplMRl9fHwcPHqSuro7R0VHOnz9PXl4eGo2GZ8+ekZGRQXx8PE6nc8Nt0Wg0nDp1it///vciRIgQ8cqYmZnZ8LFFyJLgZQhZ8sGfiix5PB5GR0e5fv06X3zxBePj4wDo9Xr27dtHYWEh8fHxhIaGolarsVqtNDc3c/PmTWQyGZOTk+Tn5+Pn58f4+DipqalcuHCBCxcucOfOHXp7e2ltbSUiIoLg4GCio6NpaWnBbrdTW1vL7Owsq6urBAYGUlxczNzcHHq9njt37nD06FEaGhoYHh7eUFs0Gg0nT55k586dIkSIEPHKELIkZGkzELLkgz8VWYKvxSg1NZV9+/ZRVlaGx+NBr9ezc+dOMjIySE9PJzo6mqamJgA6Ozu5efMmcrlcmpk6efIkJpOJuro6wsLCCAwMJCoqiq6uLnQ6HUlJSZw6dYqgoCDKyspwu93MzMxIO+nJkycpLi7GarViMpm4e/cuZ86coby8nLCwMObm5ny2Q6PREBAQwAcffCBChAgRrwwhS0KWNgMhSz74U5GlxcVFqqurefjwIVlZWXz44Yd0dnbS1tbGm2++SV5eHunp6Vy8eBGFQsHq6ioNDQ2cPXuWzMxMTCYTZWVlfPzxx3R3d5OWlkZBQQElJSWEh4fz6NEjKioqyMjIoLS0lKSkJP74xz+SmZmJTCbDZrNhtVrZt28fd+/eZW5ujqmpKSIjIwkICODBgwccOHCA2dlZn23RaDScOHGC3/zmNyJEiBDxypiYmNjwsVvIkuBlCFnywZ+KLM3Pz6PRaOjq6mJ6eppLly7x7Nkzuru7uX37NlqtFrVaTVZWFj09PayurqLVann8+DF1dXWSLP32t7+Vvgg+OTmJ2WymqqqK4uJiampqaGlpwWKx0NvbS0hICImJiajVapxOJxaLhbS0NORyOYuLi+j1eoqKikhLS6OiooLCwkIcDofPtmg0Gvz9/Xn33XdFiBAh4pUxNjYmZEnI0ndGyJIP/lRk6btitVrJz8/nyJEjTExMfGOns9ls6+4F4/F4WF1dxWKxbHpdNBoNV65c4dKlS1y9epWQkBBCQ0MJCQnhypUrXLx48aXhLXP16lWuXLnC1atXCQ0N5dKlSz7LXb58Wfopd3Bw8IbKPF+/jZbx1s3776VLlzh06BB79uzhxIkTLywXGhr6jTKvk+tl/XD+/HkCAwM5cODAN8p4w1eutTlCQkJeq8y+ffvYu3cvFy5c4PLly68sc/HixXU5NpLnRfXzlvH392fPnj0cPXr0G2Ve1A/fpn4vK3P27Fn27NkjjTfv8qGhoQQHB2+oPc+Hr/p5lwsODubIkSOcPn3aZ5nnc33b+nnzBAYGsmfPHg4cOOBzO72qbt5lFxcXN3xsEbIkeBlClnwgZOlrLBYL+fn5BAcHYzAY/k/7QqPR8PTpU/R6PWazGYvFwsrKCkajEbPZzOzsLDMzM8zOzjI1NcXMzAx6vZ7Z2VlmZ2dZXl7GbDaztLSE0WjEbrej1+ulMjMzM1IZ7+tzc3PMzc1x+/Ztbt++zeLiIrOzs0xPTzM9PS2VmZ2dlcro9XpMJhMmk0m6DDk3N8f09LRUl7XlvGXX1s1kMmG1WpmZmSErK4uYmBiUSuU3cs3OzmK32zEajRiNRiwWi/TezMyMlNPbJm/dzWazVMZutzM3N7euPjMzM0xMTNDQ0MDDhw+ZnZ19Yf30er2UY23/eddlMpkwGo2srKxgMpkwm83rcnn7cW5uTlrH0tISZrOZ5ORkbt26xdjYGAsLC9+onzeXdzvY7XYpn8Vikfp87XZaW7+ZmZl19bNarSwsLDA9PU1ZWRkxMTEUFBQwNTUl/TBhZmbmG/2wNtfaunnLeNtps9nW1c/bJu928tZtcHCQmJgYbt26xeLiorSdbDYbi4uLL+2HmZkZaV9YXl5eV7/5+XmmpqZe2HfebWs0GpmfnycnJ4f29vZ1fT49Pb2uH6anpzEYDFIus9mM3W7HYDB8o37e7Ts9PS0tu7YfvG2qr68nNjaWR48erRsT09PTUh9YrVZWVlakPGv398nJSebn56Vx5nK5NnxsEbIkeBlClnwgZOlrnE4nExMTTExMYLVa/89lKTc3F6vVyurqKg6HQzoBud1uSZ7sdjvLy8tYLBZWV1elZSwWiyQWLypjsViwWq04nU5WV1dZWVmRDua3bt0iNjYWs9ksnVhMJpO0zMrKyroyTqdTkiWXy4XdbsdsNuNwOHA6nVitViwWCw6HA4fDgclkkk72JpMJh8OBy+ViaWmJ7OxsYmJiUKvVUhlvLrPZzOrq6rpcZrNZOvmvfd3bZ4uLi+v6zuVyresHu92O1WpleXmZrq4unjx58tL6rT1Rek9kL6ubyWRidXUVq9WK1Wpdtz5vH3lPdA6Hg+TkZKKjo5mcnFxXxpvLOw7WrsObyzu7uVbsvNtm7Zh4vozD4cBisVBRUUF0dDRFRUUsLy/jcrmk7eRwOKQTvt1ul9bh/dtbN7fbjcvlWtd277ZZ2w9ekfTWbX5+npiYGG7fvi2t02w243Q6pe3q7Qdvm9a240X1845ZX2UWFhbIycmht7cXm80m7TMWi4WlpaV1/bB2TDgcDtxu97oya3O53e5v5Hp+n3n27BkxMTFkZmZKsuPtO+/lfG8Z7z60dn83GAy4XC6cTid2ux23273hY4uQJcHLELLkAyFL2w+NRkNhYeG6g6Db7WZ1dXXdvx6PB4/HIx04vQdy+PoyoffE+HwZ78nNG96/l5aWuHnzJlFRUdIJwul0SuPCe/BeW8Z7OfL5+nnLeJfzvu5cc78p78nc6XTidrvJysoiIiKCxsbGdTm8/3rLeNflPUGuzePtB2/dXtR33ve8fbeyskJHRweZmZnrvlPmzeFt89oyz/fd83Vb28fecm63e139vCQlJXHz5k0mJydfWGZtnpf1w9pt7z3Rv6p+3nVVVFRIjzvxvvd8/byC93w/PF+3tbnW/u2VXu+49PbB3NwcN27c4ObNm9hstm/UzVeu5+u3dru/qozL5cJoNJKdnU13d/cLcz0/vgDpA8Dr1G/tst5+8D7uJD09/YXbaW2ZtePMO/bW1u915UDIkuBlCFnygZCl7YH3U6LdbketVn/j2XDPn4S9B8+X4fF4pIPpRsssLS0RHR39Ull6WZ4XScJGxtLaA75Xlnw9G25tjo1+qvbVdy97NtxaSfDVd8/X7XlZehV37tx5oSy9iudlxFvHjZbx/ltZWenz2XAvkiVfPF+/F10qev7ZcN+m77y51orMRvruZbL0Kl4mS6/TD2tl6WXPhnu+D56Xw++CkCXByxCy5AMhS9uD3NxcwsLCCAsL49q1a+JBuluIeJCueJDuViIepCtkaTsiZMkHQpa2Bzk5OZKohIaGClnaQoQsCVnaSoQsCVnajghZ8oGQpe2B9xc68/PzVFVVCVnaQoQsCVnaSoQsCVnajghZ8oGQpe2HRqMRsrSFCFkSsrSVCFkSsrQdEbLkAyFL2w8hS0KWtgohS0KWthIhS9sXIUs+ELK0/dBoNERHR3Pv3r0tjYSEBI4dO8axY8e4c+fOluc/f/48x44d49q1a997Lq1WK/W3kCUhS1uJkCUhS9sRIUs+ELK0/dBoNJw+fZrPPvtMxPcUNTU1Un8LWRKytJUIWRKytB0RsuSDPxdZGhsbo7e3l9nZWcbGxujr62NoaIi+vj4GBwcxGo20t7czOjrKysoKfX19DAwMMDc3h1arZXBwkImJCfr6+hgeHsZgMNDR0cH4+DhOp5O+vj66uroYHh7GaDQyOjrK8PAwFosFj8fD0tISXV1dLC8v+6yrkKXvP5RKpXRDQbvdLmRJyNKWIWRJyNJ2RMiSD/4cZMnj8VBVVUVKSgptbW2UlpZy7949ysrKyMjIIDs7m9HRUU6fPk1NTQ1Go5HExETy8/MZHBwkOTmZp0+f0tTURHp6OkVFRfT29nL+/HnUajXLy8sUFhZSWVnJ7du36ezspLy8nDt37tDc3IzFYqGqqorg4GDm5+d91lej0XDq1Ck+/fRTEd9TyOXydY9kEbIkZGmrELIkZGk7ImTJB38OsgRQWVnJrVu3aG9vJysri+joaJRKJSkpKaSkpNDc3Mx7771Hc3Mzq6urXLx4kYyMDPr6+vjyyy+5c+cOfX19JCcnk5GRgVKpZOfOnbS3t7O0tER3dzdtbW0cPnyY+vp65HI5hw8fJjExkcHBQcLDw9m5c+eG6qrRaDh58iQff/yxiO8pZDKZ9LwtIUtClrYSIUtClrYjQpZ88OciS1VVVdy+fZuOjg7p6fbV1dUkJSURFhZGZmYmn3/+Oa2trayurnL58mWioqIoKSlh3759JCYm0tfXR0JCApGRkdy/f5+DBw/S2dkpPRsqPT2da9eu0dvbi0ajITg4mIiICMrKyoiMjGTXrl0bqqtGoyEwMJAPP/xQxPcUcrlcepTEysoKbW1tQpa2GCFLQpY2AyFLm4OQJR/8uchSaWkpkZGR1NfXk5GRIUnMtWvX8Pf3p6enhz179lBfX4/dbufcuXNkZWWh1+s5f/48CQkJdHR0cPnyZc6dO0dTUxMHDx6kublZepq90Whk165dFBcXU11dTW5uLpGRkQQHB/PgwQM++eSTdQ+SfRkajYYTJ07w/vvvi/ieoqysbJ0siZklIUtbhZAlIUvbESFLPvhzkCWPx0NqairHjh0jLi6O8+fPc/ToUW7evMlXX33FlStX6O/v54MPPuDRo0fMz89z5MgRbty4QWtrKydOnODq1asUFhZy6tQpoqKiaG5u5pNPPiE7OxuDwUBlZSUlJSX4+flRUVHBo0ePKCgooKSkhJSUFDIzM9mxYwfj4+M+66vRaPD39+e9994T8T2FTCaTnnAvZpaELG0lQpaELG1HhCz54M9Blp7HZrOhUCjIy8vbtHV6PB7m5uaw2WzfuR81Gg3Hjh3j7bff3vJ46623eOutt/5Pc29F/vz8fKxWKw6HQ8wsCVnaUoQsCVnajghZ8sGfoyx5PB5WVlYwm82bul63270pfajRaEhNTaW1tRWtVotWq2VmZobGxkaePXvGyMgIWq2WkZERxsfH0Wq1tLS00NnZue49jUaDTqdjfHyc/v5+tFoto6OjtLe3093djU6no6+vj9HRUXp7e1EqlURGRhIVFUV7ezs6nY7R0VHa2tqkWyYMDw8zMjJCT08PbW1t0i0Zent7mZmZobW1lba2NoaGhhgfH2d8fBydTkdrayudnZ1MTU3R29tLX18f4+PjNDU10dfXx9jYGA8fPiQyMpKsrKx1bdFqtYyNjaHVamlsbJT+7u7uZmhoSGqPd3mdTifdHqKpqYnx8XEpR1tbG93d3SwsLOBwOHC73eI+S0KWthQhS0KWtiNClnzw5yhLgHSPne2IRqMhPz+flZUVHA4Hdrsdt9uN1WrFbrdLrzmdTlwuF06nE5vNhs1mw+l0YrfbcblcWK1WnE6ntLzD4cDlckl/r6ysYLPZpHXMzMwQGxtLTEwMBoNBukxltVqluqyurrK6uiqVX5vb7XZL6/T+LP/5+q2urmKz2aQ2edfrcDgoLCwkMjKSuro6aXlvm10uF6urq1itVuk1u92+7jXveta202q1SvV1Op3SL+CcTidutxsQN6UUsrS1CFkSsrQdEbLkgz9XWdrOeJ8N5xU673ZZ++/zsrf2tddd3svi4iLh4eGEhYVhsVheuezz+V6U63WXz8nJ4dq1azQ0NEivPT9bt/a1l+V8/vVXLQNCloQsbS1CloQsbUeELPlAyNL2Y+2DdN1uNy6XC4/Hg8vlkmZDXoRXJLzhLedr+dXVVZxOJ/Pz8698kO7z639VXb7N8vn5+URGRtLQ0IDL5XrlsoA0y7WRy5/evvOGkKWvEbIkZGkrEbK0fRGy5AMhS9uDlpYWioqKKCoqIjU1lYSEBIqKiigsLKSwsFD6v3eZl8W3Wb6goICCggKys7MlWcrLy3vl+tfm2Uh9NrJ8fHw84eHh3Lt3b0Pr9tZ7o/V4vn/WrictLY2bN2/6XM/3EeHh4YSGhvLkyZMtz52cnExoaCiJiYlbnnvteMvPz9/S3Hl5ecTGxkp35N/KSEtLIzQ0lJiYmC3PXVT0/4+3p0+fbnnupKQkIUvbFCFLPhCytD3Q6XRoNBoqKyu5d+8eqampaDSaLQ2lUimdvOrq6rY8v/fE/fTp0y3Nq1aryc3NJS4ubsvbrNFouH79OqGhoZSXl2957gcPHhAaGsr9+/e3PLdCoZBmllQq1Zbmrq2tJSEhgfz8/C1vd25uLqGhocTHx2957sbGRiIiIggNDUUul295/oyMDCFL2xQhSz4QsrS9mJ2dpaCggKKioi3PbTAYXnkZ7vvGO9PQ0NCwpXnFZThxGW4rEZfhhCxtR4Qs+UDI0vZifn6e4uJiIUtbiNPppKOjQ8jSFvN/KUsWi4VHjx4JWdpihCxtX4Qs+UDI0vbCarXS3t5OS0vLluc2m83k5OSQk5OD3W7f8vwNDQ3k5OSg1Wq3NK/L5WJsbGzTD+IbpaioiJycHBYWFrY8d1dXFzk5ObS2tm55bpPJRE5ODrm5uTgcji3N7XQ6qaurY3R0dEvzAgwPD5OTk0NNTc2W5/Z4PBQWFpKTk8Pi4uKW5+/o6KCnp2dT1ylkaXMQsuQDIUsCgUAg+KEiZGlzELLkAyFLAoFAIPihImRpcxCy5AMhSwKBQCD4oSJkaXMQsuQDIUsCgUAg+KEiZGlzELLkAyFLAoFAIPihImRpcxCy5AMhSwKBQCD4oSJkaXMQsuQDIUsCgUAg+KEiZGlzELLkAyFL2wen00lXVxfFxcW0tbV9b/c66unpISkpiVu3bkn3c3K73SwuLlJcXIxMJmN5eRm3283c3BxqtRq5XL5p96RxOBz09PQgl8ul++u8KM/U1BRyuZy6ujpmZmY2JffS0hIajYb29naWl5dfmae9vZ3q6mo0Gg1LS0vfKa/JZKK7u5vKykrUajV6vR63283ExARyuZyKigqpPk6nk87OTkpKSmhra/tW9yDyeDwYDAaUSiVtbW3r3mtqakIul9PV1YXJZGJ1dZXBwUGKi4tRq9XYbDZpWaVSiVwuR6vVvtaNI+fn58nJyWFsbEx6bWRkhPT0dG7cuCHdY8jj8bCyskJZWRklJSXMzMzgcrlYXFykubmZ8vJy+vr6XqvtTqeT3t5eKioqMBgM697TarUoFAqpr1+Ux+12SzeHlclkGI3GDR8b3W4309PTpKWlYTQav1EntVot3XzUZDLR1NREdXU1ra2t0sOj+/r6qK2tpaGhgdnZ2Q232+12093djUqlknK4XC6mp6eRy+Wo1Wra29txuVzY7XZqa2spKSlheHhYkgzveFSpVBve5zweD0NDQyQkJHDjxg3a29ul92ZmZqiurqaiokJan8lkoqOjg/Lycun+Xi6Xi/HxcWlfWNt3vhCytDkIWfKBkKXtg0KhIDc3l4aGBkpLS5HJZJuew2AwoFKpyM/Pl55JNjw8zMzMDMnJyajVapqamkhOTmZhYYE7d+5QWVmJXC5HJpMxMjLynfK73W6mpqY4f/48ERERWK1W3G43iYmJ6/LU1dVRXFxMYWEhjY2NxMbGfufxOTMzQ1paGrW1tczMzGCz2RgfH5fyNDQ0EBsbi8vlYmZmhoiICNrb20lOTqalpWWdRLwuKpWKBw8eMDQ0RENDA/Hx8ZhMJs6ePSvdGFKhULC4uEhVVRV5eXk0NDQgk8koLS197Xwul4uRkRHi4uLIzMyUXm9qaiIzM5OmpibS09NRqVS0traSmZlJQ0MDCoWCx48f43Q6qampIS0tje7ubm7fvk1/f/+G8+v1eg4ePCjdjd1kMtHS0kJ+fj4JCQmcOnWKvr4+VlZWiIuLo7a2Fo1GQ3p6OsPDw2RlZZGXl0dNTQ0FBQWvJUw2m43S0lKuXbsmyZpXyq5evUpYWBhTU1O43e5v5Onv72dqaoq7d++iVqvRaDQkJSVJcuULrwDv2LFDukO2w+GgqKiI/Px8BgYGMBqN2Gw22traiImJoa+vj7CwMCYnJ5mdnSUxMRGVSkVmZiYKhQKLxbKh3A6Hg7KyMu7cuSNJyMTEBLm5udTW1tLf38+ZM2ew2WxkZGRQUVGBRqPh6dOndHR0MDY2Jj3wVq1WExcXt6F9bn5+nvr6egoLC7lz5w5ffPEFFosFl8vF9evXqa+vp7i4mPLyciYnJ1EoFKSlpaHRaMjJyeHZs2csLy8TFBRET08P2dnZKBSKb4juyxCytDkIWfKBkKXtgdvt5tq1ayQnJ2MymcjPz+err77a9DxGo5HJyUkWFhaQyWRcvXoVjUZDR0cHO3fuxGg0YrFY2LFjBzU1NRw/fpyGhgYGBgakB49+F5aXlykpKeHKlStcvHgRi8XC2NgY/v7+6/IcPXqUiIgIOjs70Wq1HDp06DvNbHk8HiIjI0lMTKS/v1+arZHL5VKe/v5+Dh06hE6n4/Hjx1y5coX5+XnS09NJS0v7TqJYXFxMcHAwDQ0NqFQqScTef/99jEYjra2tXLlyhY6ODkJCQkhJScFkMpGbm8u5c+e+VXsnJiZISEjg7t270uuXLl0iKyuL+fl54uPjuXfvHjExMQQHB0szHZ999hkmk4nDhw9TVlaG1WolKCiIkpISTCbThvLbbDZ2794tzSBZLBampqaYnZ2lqamJM2fOoFQqmZ+f59///d+ZnJzEbDZz4MABsrOzuXLlCnl5eUxMTJCRkUFKSsqG2+5yuZDL5Vy+fJnh4WHga5Goqqri2rVrXLp0iYmJCaampr6R5+7du7S2tvK73/0Oo9GIyWTif/7nf5icnNxwv5vNZn75y18yPj4OQHV1NTdu3JBmqeBribl37x5xcXFYLBauXbvG06dPefLkCWFhYeh0OoqKikhOTqa7u3vD7a6srCQuLo76+noAhoaGiI2NJSkpifHxcfbt24fZbGbnzp00NTVhNpsJDg7myZMnlJaWEhkZSVdXFz09PRw9enTdzODLMBqNjI+PYzAYaGtr45133mFpaYnBwUH27NmDVqulp6eHqKgosrKySEhIID4+nvn5efLy8ggODqa1tZUPP/wQq9VKS0sLly9fpre3d0PtFrK0OQhZ8oGQpe2B2WwmMDCQhIQEAHJycvjiiy82/ZlZbrdb2s61tbUkJyczODhITU0Nv/71r6Xl/vVf/5W4uDiOHz9OS0sLi4uLXLt2jdjY2G+d22q10tXVRVFREU+ePJFkSalUEhAQQGtrK4uLi4SGhvKTn/yEwMBAZmdnGRgY4NixY1RVVX3r3Hq9nvfee4/79+/z+PFjKioq0Ov1pKWlcfLkyXV5CgsLCQgIIDk5meXlZUpLS7l69SpNTU3fOn9/fz83btzg0KFDxMfHU19fT3Z2Np999hlms5np6Wk+++wzZDIZJ06cICkpCYCsrCz27dv3rcaBXq/n/v37maL2QQAAIABJREFU62Tpgw8+oLS0FKvVSkpKCuHh4Rw5coQzZ84A0NLSwltvvcXExARvvPEGnZ2dOJ1OSeA2Kg0Af/zjH6mrqwO+Hndutxv4+jJwdHQ0/f39DA4O8jd/8zfSzM3HH39McHAw586dk+Ti3r17nDp16rXaXlNTI82aOhwOtFotxcXF5OTkEBISwsTEBBqNhgsXLlBaWirlCQgIoKqqirfffhv4WkD++Z//md7eXukymS/cbje//vWvpUthZ86c4dKlSzx58oS8vDza29vp7Ozk/Pnz5OXlYbPZSEtL4+zZswQGBhIXF8fExIQk1WVlZRtut1qtJikpSZKl5eVliouL+fzzzwkNDSU7O5u5uTn+4z/+Q7pc9uWXX5KYmEh8fDynT59Gr9fT39/P8ePHUSgUPnN6PB7puDI8PMzhw4dZWVlBJpNx8OBBhoaGmJub48svvyQoKIiIiAju37+P1WqltLSU3/zmNzx9+pQ9e/awsrLC1NQUn376qdQGXwhZ2hyELPlAyNL2YGlpicDAQO7cuQN8LUuff/75hqf/X5fl5WWUSiUVFRVYrVaqqqp46623pPd/+tOfEhYWRmBgIM+ePWNpaYkrV64QGRn5rfK53W50Oh0JCQkUFhYSGRnJgQMHGB8fp6ioiFOnTkl5goOD+fu//3uOHz+OwWBgcHAQf3//7/Rw4ebmZn7729+Sl5dHamoq586dQ6FQcPfuXU6cOIHBYGBgYAB/f38yMzM5cOCA9L2T8vJyLly4sOGD94uYnp7m0aNH7N+/n6NHj1JZWUlGRgZ+fn5YLBZmZ2f53//9X/Ly8jhx4gTJycnA17K0d+/e1/oOh5cXydI777xDRUUFNpuN1NRUrly5gp+fnzR71dLSwptvvsng4CB/93d/h1arZXV1lWvXrpGQkPBas3trZcmLxWKhqalJev5gX18ff/u3fyuN8507d/LVV19x9uxZ5HI5JpOJu3fv4u/v/1pt98rS0NAQer2emJgYSktLiY2N5ejRo7S3t1NZWcnFixfX5Tl48CDl5eW89957wNey9MYbb9De3r7hE/FaWXK73Xz66adERERQVVVFUFAQN27coLm5mdOnT1NSUiJdFjt+/DgHDx7kzp07TE1NUV9fT0hICIWFhRtu9/OyZLPZaG5uJiAggN///vekpKQwPj7Of/7nf9LR0QF8LUu3bt0iKiqKkydPYjAY6O/v58SJExQXF284t8lkor6+ntzcXNxuNzk5Ofj7+zMyMsLCwgL+/v6cOHGCsLAwHjx4IAnVr371K9LS0jh48CA2m43Z2Vk++uijb4ydlyFkaXMQsuQDIUvbA7vdzrlz50hKSpIONPv27ftevuRttVrp7u6mtbUVvV6P3W6nsbGR9957D5fLhdvt5mc/+xmPHj3ixIkTNDc3Mzk5SUREhHQSf11cLhft7e1cunSJxMREDh8+zI4dO3j27BmNjY0EBARIecLDw3nnnXc4f/48ExMTaLVa9u/fT3Nz87duc2trK35+fvT19TE/P8/58+d5+PAhT58+5cKFC0xMTNDf38/+/fupra0lNDSU+Ph4lpaWyM7OJjIyUjq5fBsUCgUpKSk0NjYSERGBv78/lZWV/O53v8NsNqPT6Th48CA1NTWcOXOGu3fvSt+pOXDgwLcaBy+Spb179yKTyTCbzcTHxxMdHc25c+c4f/48LpeL5uZm3n33XWZnZ3n77bdpbW3F4XAQFBTEw4cPmZub23D+52XJZrMxMDBAY2MjU1NTOBwOJicn+Yd/+AcMBgNut5tPPvmEmJgYLl68SHFxMfPz86SkpBAcHPxabffK0uDgIGNjY5w9e5bU1FROnDjBRx99RGVlJc3NzVy+fJmSkhLm5uZISUnh0qVLqFQq3n//fVwuF06nk3/5l39Bq9VKM2O+WCtLq6urfPHFF2RnZ+PxeLhz5w7nzp2jq6uL69ev8+TJE6xWK7du3SI8PJxr165x69YtxsbGqKioICoq6rUeuPu8LI2Pj5OZmUlhYSGFhYX86le/YnR0lLfeeov29nbcbjenTp0iOTmZ9PR0Ll++zOTkJD09PRw8eHDDD/ReWVmhr6+PyspKrFYrdrudhoYGDhw4wODgIKOjo5w7d46oqChiYmJISUnBaDRSUFDAZ599hlwuZ/fu3aysrKDVavHz89vw/i5kaXMQsuQDIUvbh5SUFFJTU9HpdGRnZ3Pjxo1Nz+G97JWWloZMJqOtrY2RkRFpVkWr1TIwMMCBAwfQarUEBQVRUVFBbW0tKSkpqFSqb5XX7XZjMBhob2+nvr5+3cyS98uda/N4v2dRWVlJY2Mjx48f3/D3ZV6EwWDg6NGjqFQqhoeHSUpKoqqqipaWlnV5vLNM9fX1XLx4EZ1OR1xcHPn5+ej1+m+dv6CggOjoaPR6vfRJf3Jykk8++YShoSGKiopITExkeHiY5ORk7t+/j06n4+nTp0RHR792Po/Hw9TUFLdv3yYmJka6hJSWlkZGRgY9PT3cvHmT7OxssrOziYqKQqfToVAoOH36NCsrK8TExJCZmcnIyAhnz55FpVLhdDo3lH9lZYVPP/2UsrIynE4nKysrNDU1kZaWRn5+Pm1tbWi1WoxGI5999hkdHR0MDAxw5swZVCqVlLu5uZn79+9TUlKy4bZ7v7N07tw5Ojo6sFgstLe38+zZM27duiXNLC0tLUl5mpqapDz9/f0EBASg1WrR6XT4+flt+FdpHo8Hk8nEz3/+c/r6+nC5XISFhZGZmcn4+DiPHz/m3r17LCwsUFRURGRkJGNjYwQFBVFbW0t9fT0RERE0NTXx8OFDHj58KH33yRdut5vKykqioqJQKpW43W56e3u5efMmGo2GqakpDhw4wMTEBCdOnECpVDIwMMD169cpLS2lqalJ2i/UajUnT57c0D5nNpupr68nISGBiooKWltbGR0dZWlpiSNHjtDU1ERFRQXJyck0NDSQmZnJrVu36O7u5sGDB2RkZDA2Nsann37K6OgohYWFrzWLKWRpcxCy5AMhS9sH74EiJSWF/Px8hoaGNj3H8PAwwcHB7Nq1Cz8/P86cOUN5eTlmsxmVSsXdu3e5d+8ezc3N2Gw2ysvLyc/PJyUlherqaqxW63eug9VqpbKyksTEROkXZmVlZVKempoaFhYWqK+vJz4+nuLi4tc6Wb6M3NxcsrOzycnJkW4HsLKyglqtlvJ4f4HodrulSzfe73V9F/r7+8nNzaWiogK1Wo1SqcRut5ORkUFJSQm3bt2ir68Pp9PJyMiINA4KCgqkLym/Dm63m5GRESIjI7lx4wZWq1W6nUBqaipPnjwhNzeXvr4+ZmZmKC8v5+7duzx58oS+vj7p5/PR0dHk5+eTnZ0t/bprI0xMTLB//36ys7MxGo1MTU1x69Ytfve73+Hn50dAQABZWVmsrq7S3NxMamoq9+7dQ6VSYTQaUavV5OTkkJGRQVFREWazecO5vb+GCwoKWjcr4/F4qKurIyUlRZKfF+UxmUzU1dVJ+0JLS8uGZ/ZcLhdDQ0Ps2LEDlUqFzWZDp9Px6NEjsrKyUCqV9Pb24vF4GBsbIyYmhoqKCmJjY7HZbLjdbtLS0sjLyyM9PV36VdtGcDqdlJSUEBYWRnl5OQ6Hg+XlZerq6khPT6etrY20tDQcDgednZ08evSIlJQUqqqqmJubY2VlBZVKRUJCAsXFxRv+FaZXuD755BP8/Pw4dOgQDQ0NuFwu8vLypF/JNTU1YbPZ6OrqIisriydPnvDw4UOWl5dZWVlZty9otdoNi7mQpc1ByJIPhCxtLxwOBysrKxs+UGwmbrcbq9WKzWZbNxYsFss3Xvs+eD6P2+3Gbrdv+KfTG83hcDjWteVVeZaXlzftALy6uir17/M5nE7nujp9n+PA5XJhsVjWrdtbt+fv6bS6uorJZNrwl5u/Ld5+WXupa2VlRbq1xPfJi/K8bF/4tjgcDmw22zfGksvleuE9vEwm06Zdgvd4PJI4rcVms7GysrJu27rdbmw226buc962PD++zWbzN7atd397nT4XsrQ5CFnygZAlgUAgEPxQEbK0OQhZ8oGQJYFAIBD8UBGytDkIWfKBkCWBQCAQ/FARsrQ5CFnygZAlgUAgEPxQEbK0OQhZ8oGQJYFAIBD8UBGytDkIWfKBkCWBQCAQ/FARsrQ5CFnygZAlgUAgEPxQEbK0OQhZ8oGQJYFAIBD8UBGytDkIWfKBkCWBQCAQ/FARsrQ5CFnygZAlgUAgEPxQEbK0OQhZ8oGQJYFAIBD8UBGytDkIWfLB/Pw8GRkZVFdXMz8/z8LCgggRIkSIELHtY35+nuHhYWJjY4UsfUeELPlAr9eTkJBAQkICDx48ECFChAgRIn4wkZqaSnR0NENDQ0KWvgNClnxgNptRqVRUVVWJECFChAgRP8gwGAziqyTfASFLG8Dj8YgQIUKECBE/2BB8N4QsCQQCgUAgELwCIUsCgUAgEAgEr0DIkkAgEAgEAsErELIkEAgEAoFA8AqELAkEAoFAIBC8AiFLAoFAIBAIBK9AyJJAIBAIBALBKxCyJBAIBAKBQPAKhCwJBAKBQCAQvAIhSwKBQCAQCASvQMiSQCAQCAQCwSsQsiQQCAQCgUDwCoQsCQQCgUAgELyCPxlZcrvdWCwWXC7Xd1qPeEKzQCAQCASCtXwvsuR2u1lcXCQpKYlf/OIXnD9/nq+++oqzZ8+iVqtxOp2blsvlctHY2Mju3bv5+c9/zu9//3saGxtfKk1ut5v5+Xni4uL4t3/7N+Li4piammJubo7bt2/z9ttvEx4ezurq6qbVUSAQCAQCwQ+X721myeFwoFKp+PGPf4xcLker1XLs2DEOHz5MQ0PDpuVxOp3cv3+f5uZm1Go1v//97wkNDWV4ePiFy3s8Hux2O/X19fzlX/4l1dXV2O12SkpKkMlk1NfXo9PpxOySQCAQCAQC4HuUJbfbTX9/Pz/+8Y/p7OzE4/EQERHBzp07SUpKoqWlhbq6Ovr7+5mYmKCqqor6+npsNhsul4tnz55RUlJCT08PVqv1lXl0Oh2rq6u4XC7Cw8O5cuUKXV1drywzMDDAj370I7q6urBYLGRmZtLc3IzL5cLtduN0OhkbG6O8vBylUonRaASgp6cHpVJJZWUllZWV1NXVodPp6O3tpbq6ms7OTubn51EqldTU1DA/P09XVxdKpZLOzk66u7tRq9VoNBpmZ2dxOByMjIxQVlaGUqmUZt1cLhdtbW1SHywsLNDT0yPlraysRKVSMTQ0RGNjI5WVlVRVVfHs2TMsFovUVoPBQHNzM3K5nL6+PsxmM/X19SgUCkZHRxkYGKCmpgaNRkN3dzcNDQ3U19czMDCAVqtFqVTS1taG0+nE5XLR3t5OaWkpzc3NmM1mKc/09DTV1dUoFAqmpqZe2O9arRa5XI5Go8FgMACg1+tRq9VUVVWh0+mkZV0uF/X19ZSWltLb24vVamVsbAyVSiW1v6qqisbGRsbGxlAoFNTV1WEwGNBoNCiVSoaHh7Hb7UxPT1NXVye95nQ6mZiYQKFQoFKpmJqaQq1WU1NTw8jICB0dHVRXV6PVarHZbMzNzVFVVYVMJmNxcRGAlpYWFAoF/f39DA4O0tjYiFqtprOzk7a2Nmpra+nt7WV6epqqqirq6uqwWCw4nU7a29spLi6mu7ublZWVdX20urrK9PQ0ZWVlyGQyLBYLHo+H8fFx1Gq11HbvWNPpdCiVSml7eLfB0NCQ1A+Dg4PodDrq6urQaDT09fVRX19PTU0No6OjDA0NoVAoaGpqYmFhQWp/f38/Q0NDqNVq6uvrv7Fdp6amqK6uRiaTMTExgcvlYnx8XMozNTWFXq+ntraWvr6+dWO3srKShoYGamtraWxsZGZmBovFQn9/PxqNhomJCeRyOYWFhUxNTUn7ZXd397r9r6GhAa1WS2dnp7SPLS4uUl1dTW1tLWNjYzx79mzd3wArKytotVrKysqQy+XY7XY8Hg8dHR0olUp6enoYGhqiqakJlUpFZ2cn7e3tVFdX093djV6vp6qqitraWkZGRqivr6e2tpaJiQlpv2lvb8dkMknHHKPRSE1NDUqlkqmpKWZnZ3n27Bl6vZ6pqSkaGhqkdimVSjo6OnC73UxMTFBZWUlJSQl6vR632w3A0tISbW1tVFRU0N3djdlsprm5eV0fKxQKjEYjLpeLvr4+ad+1WCwYjUb6+vrQ6XQoFAqKi4uxWq14PB6sVivNzc2UlJTQ0dGx7pjyPCMjIzidTqxWq3ScqqurY3BwUFrGZDLR2NhIY2MjJpMJtVqNUqlkcnKS3t5eamtraWtro6urC5VKRVdXl/SB1el0SvuXxWKhu7ub6upqurq6GB4eprW1lbq6Ojo6OqRx4O27xsZGJicnmZ6epre3l66uLmmsm81mFhcXUavV1NbWMjo6yuDgoPS+t4+8Y0KhUEjH4qmpKTweDysrK8zMzHzjw7XJZKKjo4OqqioUCgUdHR3rjpdedDqdtK+Wlpai0+kwGo309vZK49npdLK4uIhSqWR6eprl5WU0Gg0ymYzh4WFWV1fxeDxMT0+jUCioqqpidnaWqakpqqqqUKlULC8vMzQ0RG9vL8vLyxgMBlpaWigvL6erqwubzcb4+Lh0TPCOMYPBQFNTEz09PdJYXtvG1tZWqqqqqKyspKenh5GREZqampDL5bS1tbG0tMTi4iKtra3U1NTQ398vnV/b29upqqqio6OD/v5+VCoVDQ0N6PV6xsfH6erqYnl5GbPZjEajoaioiIGBAaluW82WyFJHRwdLS0scP34cPz8/5HI5aWlpnDlzhrGxMfr7+/H39yczMxOn00lGRgaNjY3I5XLOnz+PUql8Za61l9zCw8N5+PAhs7Ozr6zb4OAgP/rRj3j8+DGZmZlUVFQwNzcHfH3Camtr4/79+7S3t1NUVMSpU6cwGo0MDg7y4MEDNBoNV65cITExkcHBQUpLSwkODqampobJyUmioqK4ePEiJpOJ3t5e/vCHP1BbW8v4+DgXL14kPj6excVF+vv7KSkpobGxkYiICO7cuYPb7SYjIwONRoNcLicoKIh79+6hVqspKioiNjaW2NhYGhsbyc/Pp6Kigt27d9PY2Mjt27d58OCBdKJqbGxEpVKRm5vL1atXUSgUFBQU8Ic//IGFhQXm5+fZt28feXl5jI6OEhISQmxsLJOTk9TV1XHp0iVkMhkmk4mysjLy8/Pp6uoiKiqKJ0+eMDs7S29vL2q1mubmZlJTU7l69Sp6vX5dn3vlpqWlhaCgILKysiQZ9O7gkZGR1NTUYLfbiYuLo76+nra2NkJDQyktLUUmk1FZWUlycjIXLlygoqKC3Nxcuru78ff358mTJxiNRrKysrh8+TKtra10dHRQXFxMTU0NMpmMmzdvolarGR0dlcosLCwQERFBXFwcOp2O7Oxsrl+/jkqlYmBggNLSUtra2sjIyCAgIACHw4FarWb//v2SYISHhxMTE8Pg4CBZWVkcP36ckZERxsbGOHLkCOnp6VgsFmQyGS0tLcjlcq5cuYJMJpPGr8vlYmJigpycHLq6uggPDyc2NhaDwcDi4iKPHz9GLpeTmppKREQEDQ0NaDQazpw5g0wmw2w2Exsby9mzZxkaGuLp06eEhobS2NjI0NAQMTExXL9+nZGRER4/fszRo0cxGAzo9Xo++OAD5HI5y8vLFBcXExYWhlKpZGxsjKSkJC5evCh9YICvZ44DAwNpaGggNTWVe/fuMTg4yNDQENHR0dy8eROdTsfDhw+JiIjg4cOHdHR0cOnSJZKSkigvL6ekpITTp08TGRnJwMAAJpOJ+vp6bty4QXh4OEqlkuLiYs6ePcvc3BwejweVSkVZWRmNjY1ER0cTEhLC3NwcdXV1fPrppwwMDGC1WgkICCApKYna2lrKyspoamoiOTmZxMRExsfHaWlpITg4mNbWVqKjo3n48CF2u52mpiaOHTtGdXU1CwsL3L59m7CwMHQ6HTKZjP379zM0NMTc3BwHDhwgNTWVqakpwsPDSUhIYHBwkJqaGkJCQnjy5Al2ux34ekbbaDQSFxfH5cuXmZiY4OnTp0RHR9Pd3c3c3BwVFRUUFhaSn59PQEAALS0tLC4ucvDgQdrb20lMTOT+/ftMTk4yMzMj7VM5OTmEhIRQWlrK48ePaW5u5sMPP0SpVPLgwQNGR0dRKpXU19dTXV1NZGQkycnJ1NTUEBgYSEREBImJiezatYvY2FiWl5e5d+8eubm5lJWVERMTg0wm+8Zx1OFwoFQqaWxsxGq1kpOTIwlJUFAQYWFhTE5O4nA4qK+vZ/fu3chkMmw2G8nJyQQHBzM4OEh7eztnzpzh0aNH9Pf3Ex0dTUBAAMPDw7hcLoaHh3n//fd58uQJZrOZtrY2vvzyS2QyGfPz8yQlJREUFER/fz81NTXs2rWLnp4eGhoaiIqKQqFQkJqayqlTp4iOjubatWscO3ZMOk88evSI48ePYzAYmJ6e5je/+Q1VVVVMT08THh7O/fv3uX//PhEREVRUVDA+Po5cLqe/vx+TyURSUhLLy8vrhMlut5OZmUl4eDhFRUU8ePCAiIiIdR+OFhcXuXDhApcvXyYhIYGTJ08SFBREXV0d1dXVXLhwgSdPnuB2u1lYWODy5cuMj4+TmppKc3Mz6enpREdH8+zZM9ra2igoKKCxsZGUlBSCgoKYnp7myJEjZGZmMjQ0REpKCunp6TQ1NUlXUqqrq0lMTOTx48cMDQ0RGBjIl19+ic1mAyA/P5+jR49KHyi8jI6OkpycTFxcHDU1Nbz11lsMDw+Tl5dHQ0MDz5494/Lly+Tn57O8vMyjR4/48ssvGRsbw+Px4HK5GBoa4s0336StrY3Z2VkCAgJIT0/n2bNnPH36lIcPH9LQ0EB1dTWtra1UVFTw+eefMzg4+H/yNZnvXZb+6q/+iqdPn6JQKIiNjaW4uJiFhQXi4+P5/PPPmZmZoaSkhP/+7/8mMzOT8fFxDh48iE6nY25ujvT0dJqbmzeUc2pqivj4eFpaWl7ZmWtlKSoqil27dpGdnS2Zv/cEERUVhd1up6enhzfffBOZTIbBYCAzM5OJiQkCAwO5efMmc3NzFBQUEBAQgFKppLW1lYMHD3LkyBFcLhd6vZ6f/exnqFQqHA4HBw8eJCwsjLGxMR4+fEhsbCzV1dWEhISwb98+RkdHOXDgAAMDA1IfyGQyJicnaWlp4fr169y4cQODwUBrayv19fX85Cc/YWJigqCgIM6dO0dfXx9lZWXEx8cjk8nIzMzkxIkT3Lt3j/Lycn7xi19IJ+lf/epXFBYWYrVa8ff3JyQkhJWVFWprazl+/DilpaVMTU3x0UcfSbNMubm57Nq1C5VKRWpqKjExMdTU1BAfH8/hw4dpb2+X+tvj8bB3716ampqwWq08fvwYpVJJXFwcoaGhjI2NMT4+zvXr19m9ezdarZb/+q//Ynx8HLvdTkREBGfPniUnJ4fJyUmSkpI4dOgQg4ODaLVahoaG2LlzJ7m5udjtdrKysjhx4gStra3ExMQQExPD1NQUOp2Oq1evcvz4caamptaVOXPmDDdv3pS2yaVLl5DL5ZSUlHDx4kXUajXp6em89957zM3N0dHRwbvvvktraysAJ0+eJDQ0lKWlJR48eMBHH32EXq9HoVDw5ptvkpGRwcTEBF9++SX5+fnI5XIOHz5MUlKS9Kl9YWGBvLw8QkNDaWpq4vr16+zZs0f6FFtUVERXVxf3798nKCiI9vZ2NBoN+/bto7S0lJGREQ4dOsQf//hHZmZmePLkCWfOnKGhoYH5+XmuXbvG6dOnWV5eJisrix07duB0OqmpqeGv//qvqaurw+FwUFhYyLlz56isrMRgMHD79m38/PzW7UNOp5OQkBCGhoaIi4vj6NGj0ixdSEgIJ06cQKPR8OjRI2pqamhubsZut3Ps2DESExMZGBhgaGiI27dv89VXX1FZWcnY2BgymYzCwkISEhIYGxujsLCQf/qnf5Iuqzc3N0szT2FhYfj7++PxeKivr+eNN95gcXGR7u5u3n33XW7fvk1LSws6nY7JyUkiIiK4ePEio6OjdHV1ER8fz9DQEGfOnOHAgQNYLBZ6e3v56KOPqK6uBuDKlSt89dVXGAwGiouL+a//+i/m5+dpbGzkl7/8JXfv3sVoNHL69GliY2Pp7OwkIyOD/fv3c//+/XV9trKyQnR0NEePHqW8vFz6oOOdYW5sbEShUFBZWcnHH3+MVqtlaWmJoKAgZmZmuH79OkeOHKGjo4OCggLu3r0rzQxlZ2dTX19PZ2cner2e//f//h89PT10dXUxMDBASEgI6enpVFVVce7cOc6fP09BQQG7du0iKiqKlpYWoqOjeeONNxgZGZFOqmq1Gj8/P27cuLGuLQ6Hg87OTgIDAxkaGiI/P5+oqCh0Oh2jo6NcunSJ3bt3U1BQgF6v586dO7z11ltUVVXh8XiIj48nMDAQnU5HSUkJO3bs4O7du8zOzhIfH89vf/tbUlJSMJvN5Obm8o//+I/k5uZitVrRarV89tlnFBYWMjg4yNGjR9m3bx8LCwuoVCreeOMNent7SUlJQalUMjAwQHJyMnv27CE1NZXq6mqOHTvGoUOH6O3t5fHjx3z00Uc4HA4UCgU//vGPaWhoYGxsjB07dkgfQC9evIhcLsdoNEofdsbGxkhLSyM+Pp7l5eV1fZSSksKFCxdQKBTEx8fzwQcfrPvAYTKZ8PPz49SpU8jlch4/fswnn3zCzZs30Wq1XLt2jVOnTmGz2ejr6+PWrVvIZDJCQ0MZHx+np6eH3Nxc6uvrSUtLk6StpaWFhIQEDAYDH3zwAffv3yc7O1uaVUxLS+PGjRs0NjaysLBAcnIyu3fvpqOjgxMnTvDTn/4UrVaLxWIhKiqKd955h9LS0nVta21t5dChQ4SEhKDT6fiLv/hKV2YVAAAa+ElEQVQLjEajNEus1WrZv38/qamprK6ukpKSwqef/n/tnOtTlOf9xv+FZppO+yYvOkknTZpJJ03aZtqaNGlijQeqRiVE8YAgCChyJgsKyhkVkIOcEeSMy4IssJxZYREFlpPIWRAQEASWBRZcDvv5vXD2Gan5MUmTJpnO83nnILvPc/Pc93N9v9d13wc3dCh1Oh0vvfQSAwMDGAwGPv/8cyIjIyktLUUmk9Ha2opCocDDw4OamhpKS0vZvn07VVVVG4TbD8UPIpby8vJobm5mcHBQsNRiY2MxMzOjpaWF1NRUDhw4ILxEzc3NefjwIQBarVZoDW+GTqejvLwclUolWDybXZtRLMlkMjw9PXFxcRGC4Q0NDXh6ehIbGwvA1NQUJ06c4MKFC2g0GnJzcxkbG8PZ2ZnIyEimp6eRy+U4OTmRl5eHVCrFxcWFM2fOsLa2hk6nY+/evVy7do3m5ma+/PJLQkJCaGpqIigoiISEBFpaWqirqyMvL4+amhoOHTokWAZarZbFxUXW19fp6uri4sWLhIeHYzAYWF5e5u7du7z11lsoFApOnjyJn58fAwMDREZG4ufnh0ql4u7du1RXV3P79m0qKyt57733aG1tpaOjg/fff5+ioiKWl5dxdHQUqtrU1FRsbGwoLS2lq6uLX/3qV0xPT2MwGJicnOSDDz7gxo0beHl5cf78edra2gRLzXjt8KzKevvtt+np6QFgYWGBubk5PDw8cHR0RKfTsby8TFFREb/+9a8pKirinXfeYXp6GoDy8nIsLCyQy+UYDAYSExOxs7PjyZMnGAwGxsbGMDU1JTIykubmZsLDwzl9+jSNjY1YW1vj6+vL8vIyOp2OtLQ0tmzZwsjICGZmZhQWFvL06VPOnj1LVFQUIyMjZGdn4+fnh0wmIykpCXd3d9rb22lqakIqlTI7OysI6NzcXDo6Ojh27BiBgYHMz8+TmZmJiYkJbW1tZGVlsXv3bjIzM2loaMDS0pLCwkLa29tRKBSo1Wqh2hwYGCA4OJjw8HDa2tq4ffs2MplMaH8brcrU1FS8vb3p6OigqamJEydOkJubK3RqbGxsmJiYQCqV4uDgQEZGBiqVCldXVyQSCfPz8+Tn57Njxw7a2tooLS3l9ddfp6GhAb1eT1FREd7e3lRXVzM3N0dcXBwnT57cMIcMBgM5OTmoVCri4uKwtbVFqVQyMTGBv78/u3fvFooj45wDcHBwIC4ujqmpKdbX1xkaGsLHx4fQ0FBUKhVZWVmMj4+jUCiora2lurqa3/72t4Kl09railqtZmxsjIsXL+Lo6AjAnTt3+MMf/sD9+/dRKBTs3buXuLg4RkdHWV1dpbOzk7NnzxIWFsaTJ08YHh5GKpWiVCoJDAzk0KFDLCws0NfXh6mpKbdu3QLA398fLy8v5ubmKC4u5qOPPqKjowOZTMb27dtJSUlhfn4eiURCaGgocrmc6OhoHBwcuH79+oYxW1paIjIykmPHjnHixAnKysqEl+f6+jpqtRqlUklVVRWmpqY8ePCApaUlodNuFK0tLS0EBgYSFhbGxMQEq6urLC4uotPphC7Ea6+9RldXFysrK3R2duLi4kJqaqpgDdXV1VFbW4uTkxOFhYWsr68zPj7Oyy+/zP3791GpVNTU1KBUKrGysiIwMHDDvczMzBAaGsrp06eZnp7mwIEDpKenMzMzw+joKPn5+VhbWwvPaXBwMObm5ty6dQuDwUB8fDxubm7cvHmTvLw8Dhw4QHJyMlNTU5SVleHq6srx48cZHBzk6tWr7Ny5U7AJBwYGsLCwICYmBpVKxalTp7C3t0ej0VBfX89bb73F9evXcXJyEuaWQqHA1dWV27dvC99vbW1NXV0dUqlUmK/FxcW8+uqrNDU1CfcokUhwdHTE3d2dyspKwa49ePAgeXl5PHjwgC1bttDR0bGhSL927RqOjo7ExcXh4+PD8ePHXxBUHh4eREdH8+jRI7RaLba2tkgkEnQ6HUVFRRw7doz6+nqysrK4f/8+fn5+hIWF8fjxY9bX15mfn+fevXtCdxAQbLvp6Wn27dtHQEAAR44cobOzk7W1NQICAvD29qarqwuAkpISdu3aRXl5OaGhoVhYWBAdHY1KpSI9PZ0DBw5QVla24bqNReupU6e4du0av/jFL1hYWGBpaUnooDs4OFBYWMja2hrJycmYmJhQW1tLWVkZ9fX1PH36lJdffpmhoSEA9u/fj5OTE0FBQZSUlGAwGCgpKWHfvn20tbWhVqspLCyku7v7e90k9k35wTJL/05sbCw7d+4U/HkbGxuys7Opra3lww8/FLpDU1NTzM7OCpmFr9vltry8TGNjI0qlEo1Gg1arZXl5GYPBwPr6+gtC698zS11dXRtERmNjI25ubgQEBADPKn4nJyehiySTyZiYmHhBLFlZWREbG0tlZSWxsbGCWFpfXycjI4MbN25QXV3N/v37CQkJoaWlhQsXLhAVFYVer2dlZYXe3l5UKhUffPABLS0twhhoNBrW1tY2iCV4VuHdvXuXN998k7y8PIKDg7Gzs0OtVnP16lW8vLxQq9UYDAYWFxfp6+ujsrKSd955h7q6Ourr6/njH/+4QSzZ29ujVCqJiYnByspKEEuvvPIK9+7dY3V1lfn5eXbu3ElBQQHu7u54e3sLC/fc3JxgaRr/Pm+88QYlJSXodDp0Oh3j4+M4OTlx8uRJxsbGWFlZQalU8vbbb6NQKHj11Vd59OgRBoOBuro6HBwcKC8vB9ggluBZXsrU1JSQkBDh5Wdvb8/du3exs7Pjq6++YnJyEr1eT35+Pp999tk3Ekv5+flcvXoVBwcHNBqNkCfS6XR0dXXxj3/8g5SUFOrr6zl06BABAQGCWPr4448pLy/n9u3bWFpakpmZSWNjI3v27OHWrVvo9XrBz9fr9QA8ePCAwMBAfHx8hMppcHAQvV7P7OwsKpWKkZERUlNTOXfunCCWjhw5QlhYGLdu3eLatWvY29sLYsnOzo6EhARKS0txcHAQxJJUKmXLli0oFApmZmb4/e9/z507d76RWFpfX2dsbIwzZ84Itq6zszM1NTWCWNq7dy/nz5/n3LlzG7IOz4sleCa6UlNTcXBwICoqitLSUvr7+3Fzc6OqqorR0VHefPNNQSw1NTUJbft/F0tvvfUWRUVFdHd3Y2NjQ2JiovCM9Pb2cvnyZQIDA4XMnre3N3fu3OH69escOnSI+fl5ent7NxVL77//vmDLHjlyhOvXrwtiyd3dHalUSkFBgdDJeZ7nxZKtrS1nz56lu7sbg8GAXq+nubkZlUoliKXe3l76+vqwtramoaEBmUyGvb09arWakJAQ3NzcaG5uxmAwMD8/L2TKnhdLq6ur9PT0YGVlRXZ2NktLSywsLPDkyRMaGhpwcnKioKBAWB9ef/11uru7CQoK4vr163R2duLq6vqCWJqdnSU6OhonJycmJiawtbUlJSWFyclJRkdHaWhoIDAwEGtra1JTU0lLS+Pw4cMbxNKxY8eEqIOtra0glhobGwVbMCEhgeLiYnbt2rVBLH355Zd4e3tz7949Ll68KMxRo1hKSUnhs88+o7W1lZWVFRQKBS4uLtTX1wOQlpaGu7s7LS0t5OTk8OGHH1JaWsrU1BS/+93vaG5uZmVlhaKiImxsbNi/fz8uLi5UVlYKeVJra2tkMhktLS0cOHBAyBcZMc7F6OhoLl++zKlTp2hpadkwjh4eHkRFRfHo0SNWVlaQSCT4+fmxtrZGX18f/v7+ODg4EBYWxurqKhcvXsTGxkbYhDQxMYFarcbLy4tz586xuLjI8vIyjx494vHjx+zbt4/AwEChUzc5OUlISAguLi7cvXsXeBaROHjwILW1tcTExFBZWcn27duJiIigurqa48ePvyCWlpeXqaqqwsTEhJCQEEEswbPGRUNDAy4uLiQnJzMzM0NycjLbt29HLpcTGhqKmZkZi4uL/PznP98glpydnXF0dCQ0NJSJiQnkcjn/+te/hO6TTqcTMow/NP8VsWTseFRVVfHLX/6S8vJylpaWBNGytLTEpUuX2Lp1qxCYNDMzEyrBjz/+GF9fX4qLi5HL5UI7ur29nfb29g3fo9PpyM/Px8nJiZycHIqLi8nLy2NgYIDx8XFaWlqELtXz11ZTU8PLL79MeXk5Op2OmzdvYmlpyeXLl7l9+zahoaHY2toKrWwHBwdSU1MpLi6mrKyM4eFhbGxsBN/d2Mo1Vgn+/v5YWFgIAV0j09PTHD16FG9vb/r7+wkPD2f//v3k5ORQUVHBzZs3mZiY4KOPPsLPz4/i4mIKCwvp6+tDr9fT1NSERCLB19cXnU7H0tISRUVFvP3220IGaO/evVRVVVFVVYW9vT0eHh4oFAohG5STk8Of/vQnZmdn0Wg0/O1vfyMtLY1Hjx5hbW2NRCLh8ePHlJWVYWlpSW5uLuPj4xw9epTg4GAGBgZoaGjA29ub1tZWEhMTsbCw4PLly5SVlXHr1q0N4U6Ao0ePYmtrS25uLhUVFbS0tBAXF4ejoyM3btygt7cXmUyGl5cXw8PD/PWvf0UqlTI4OEhWVhYJCQn09vYKVsbhw4eFYP/AwAA7d+4kKSmJ+fl5kpOTsbKyor6+nvj4eFxdXZHL5XR3d5OVlUVQUBADAwPs2LGDuLg4+vr6sLOzw9vbm9u3bxMRESFU3JmZmezevZuYmBjKysqQy+XMzs5y69YtPv74Y2pra5mbm8Pe3h6JRMLg4CBxcXFs2bKFyspKBgcH2b9/v7Ag7t27Fw8PD6RSKXK5nLa2NqH6nZmZIT09na1bt5KRkUFVVRX5+fmMj49TVFREaWkp9+/f59KlS5w6dQqlUklNTQ0mJib4+PiwsLDApUuXMDc3p7+/n8TERE6dOiUE2z09PTlz5gwPHz4kJiZGsCs0Gg1vvPEGxcXFaLVaMjMzOX36NJmZmXR0dODr68uRI0eEFvrq6iqNjY18+OGHKBQKMjMzsbCwID8/n87OTr766iucnJyQy+UcPHiQgoICFhYW0Ol0Qgfu+RBpT0+P0GUcGRmhoaGBd999l/r6etRqNa+99prQHU1NTaWpqYnh4WE8PT2xtrZmdnaWsrIyXn/9dW7evMnS0hLm5uaEhIQIFtzIyAjx8fE4OjqSlpZGQkICX3zxBQ0NDURERLB9+3ZGR0dRqVTs2LGDnJwcHj58iIuLC6dPnxbm+LvvvotCoRByXuHh4YyNjXHq1CmOHj0qBJddXFyIiYkRXp7GzNL58+c5ceIE1dXVmJmZkZiYSHNzs5CtamlpEbp+dXV1VFVV8d5771FfX09qaioHDx4Ungtra2vOnTtHZWUltbW1dHR0sLa2xsDAAK+88gpKpRKdTodWq8Xe3h57e3syMzOFjGRtbS12dnZERkYKmyBsbW0ZGxtj+/btXLlyhcbGRmxsbHB3d9/QsTcYDDx58gQPDw86Ozvp6OggLCyMjo4OOjo6KCwsJCcnBx8fH7766iuUSiW7d+8WbO+goCA++eQT7ty5w7179zh8+DCRkZFChjMnJ4ewsDCOHj1KX18ff//730lJSUGr1dLU1MQ///lPLl++zOjoKMHBwVhYWNDf309JSQnvvPMO7e3tODs74+zsTG9vL4WFhVhZWZGXl8fw8DCJiYlERUUxNDREVFQUf/7zn+nq6mJ6eprf/OY3QoHo7u5OeHg4wcHBODo6UlBQwNTUFMXFxURERKDRaIiIiBDecUb0ej1RUVE4ODgI7yRLS8sXsl8eHh54eXnR3NxMR0cHoaGhyGQy4T1ZUlLC1q1bKSwsxGAwoFQq+fTTT4mMjKSyspKysjLa29sJCwvDzMyMtLQ0KioqKC0tZXBwkG3bthEfH096erpgXebl5eHm5kZSUhIDAwPIZDIkEgldXV0EBgYyOTkpFIJyuRxTU1Py8vKEZ3llZYX79+8THByMi4sLKpWKl156ieHhYUEsP3z4kNOnT3PhwgV6enqIiIhg9+7dtLa2kpWVxV/+8hd6e3v52c9+hlqtZmZmhl27dnHlyhVSUlJwdnYmPT2dsrIyDh8+jIeHB2VlZZSXl9Pe3i4UmD8k/7VzlozZjc8++4z09HSh7Q7PbC1jVdLe3k5rayu2trZcvXqV5eVlcnJy2LdvH+bm5iQnJzM6OirkiOLj4zd8z+TkJBYWFuzbt4/PP/+cPXv24OrqSktLCw0NDURGRlJRUbHhd2ZnZ0lLS2Pbtm2kpaUxOTnJ0tISMTExODk5UVRUhEqlIiQkhJiYGORyuRBmMy4OAwMDeHp6EhgYSHNzM1KpFGdnZ+RyuRCUdnFx2XDf8Gw3naurK5cvX2ZsbIyWlhbs7OzYtm0bjo6Ows7BnJwcPv/8c8zNzbl27Rqjo6OsrKxQX1+Pt7c3ly9fZmJigoWFBTIyMgTBFRYWRlJSEiMjIywsLJCamsq+ffs4cOAAERERDA4OkpSUhJmZGQ8ePKCvr4/Dhw8Li/bZs2fx8/Pj3r17lJWV4ejoSFZWFgsLC7S2tnLy5EkKCgpISEgQdtWMjIwQHBzMrl27hAr237t5arUac3NzTE1N8fPzo6uri6mpKTIyMvD39ycvL4+MjAyGh4eFik4ikVBQUEB8fDydnZ1Cl+3q1aucOXNGCJbev3+f48ePEx0dzdTUFPHx8Tg7O1NXV8fQ0BCJiYlcvHiR3NxccnNzGRoaorOzk2PHjhESEoJcLsfZ2RkvLy8yMzMJDg4WBGZvby/BwcFs3boVKysroQovKCjg8OHDVFVV0d/fj7e3N76+vty+fZvk5GRsbW1pbW0VuhxXrlxhbm6OkpISzMzM2LNnDxcvXqS7u3vDOBlf0J988gkWFhZCKNfX15eUlBRKSkrw9/fH0tKS+Ph4SktLsbe3JyMjA41GQ3BwMKdPn6a9vZ24uDjc3d2prq5GrVZz4cIFfH19aW5uJjo6mhMnTjA2NkZvby979uwhOzubiYkJMjMzcXNzIzo6GqlUikQiwdLSUsgOrq+v8/jxY8zMzPDz8yMuLg57e3uys7NRKpX4+PgQEBBAW1sb6enpSCQSRkZGePz4MWfOnCEoKIju7m5hwdPr9dy4cUOwEfr7+zlx4gReXl4UFBRgYmKCTCbD29sbHx8f2tra6OnpwdfXl3PnztHd3S0s6o2NjUxNTXH69GlCQkK4c+cONTU1KBQKgoKCiIqKore3F4VCwaFDh7hy5QpXr17liy++oL29nYKCAqysrIiJiaG4uBg3NzdOnDjBjRs3yMrK4tixY6jVah4+fIiVlRWhoaF0d3dz9uxZAgICuHfvHhUVFXh6epKcnCxU20Z77MKFC7i4uNDT00NiYiKBgYFcunSJ8+fPc+PGDUZGRpBKpUJHt6+vj127dhESEiJYR3K5nJGREeLi4jhw4ADHjx8nNTWVp0+fCiH1bdu2CZbx+vo6dXV1WFtbY2Jigre3N83NzbS0tGBhYYGDgwNKpZKoqCju3buHXq/H398fJycnEhIScHNzw8fHh97e3hfW+bGxMaHgVKlU9PT0oFQquX79OnV1dTQ2NiKTyVCpVFhZWZGeno5WqxW6G93d3ahUKhwdHUlMTKS+vp709HQUCgU9PT2kpqbS19fHwYMHiY2NRaPRUFFRga2tLTKZjKGhISIjI3FxcaGuro6bN28KncGhoSEOHjxIRUUFUqmUffv2cfHiReRyOTKZjPb2dkZHR4mMjBQ63N3d3ZiYmJCbm0tmZiYBAQHU19cL+b/8/Hz6+/spLy8X4gQ5OTkv2EJarZbExERcXV2Ji4sjLi6O8PBwodNpxMPDgyNHjpCVlUVGRgZlZWUbuvJdXV24ubmh0WiAZ4VKYGAge/fu5fjx4xQVFTE3N0d7ezsSiQQTExM8PT2pra2lv7+fo0ePEhkZydjYGBKJhMjISLq6usjIyCA4OJjs7Gwh99TZ2cn58+cZHh4mJSWFoaEhbt68iZ2dHQUFBUKHeHFxkdLSUs6ePUtnZyclJSV8+umnNDU10dTUREVFBfn5+UgkEvLz8xkZGSE2NhYrKyvS0tIIDQ3l2rVrqFQqtm7dSmVlJZ2dndjZ2XHlyhU6OjpISEjAz88PtVqNVCplx44dmJqaEhgYKITPf2h+sid4z8/Po9VqN3jAer3+Ww3U6uoqT58+/Y/9zdXVVTQajeAzr6+vC9s0v0/0ej3T09MvhNa+bgy+LQaDgYWFBWHR/K4Ysw1Gm9PI2toaWq32BU/+eZ4+fcrMzMyG+zRe35MnT15orS4vLwvh1++Csaqfnp7+j9q3q6uraLXaDeHM74JOp0Oj0fy/97W2tsbU1JQwxklJSdTV1aHVagXLpqqqioyMjE3H+/vAWFzU1NS8YCsZ55bBYGB1dfVbP18rKyvMzs7S399PdXW1IMaMn2es1L/Ldxg/T6PRCFaq8b6ePn0q/Pvr/hZGe6uwsJDc3Nxv/b3f5vqMdv3X/ez5cV5ZWRH+n/H6NBrNN1qTlpeXmZubE8ZVrVbj5OSEVCplfHx8wzq5vr7O8vKycCTLZvPm+Z99Xezhp0BJSQmurq6UlpZuOve+CcZ4B3z3+3V3dycqKor29nbm5+eFz1tcXGRiYoK2tjZSU1Nf+L2ZmRkhx2pEr9czNze36VE7z2M8OuH7Dksbi9qFhYXv5VlYX19naWlpg4j8MfjJiiUREZFnPHr06IUiQafTMTs7+4PtCllaWtr0OI7/hNHRUZKSknBxcUEmk/0orfVvglarFc7X+l/BYDDQ1NSEk5MT+fn5P0mB831h3Enq6uqKSqX6ydzr2toa7u7uREZGMjIysuFcqdraWtzd3QkLC9tw/pzIj4colkRERH4Unjx5QlpaGgUFBf9zYuSnzvz8PEqlkoCAANLT0184cPB/Ca1WS3Z2NoGBgcIhnT82BoOBhw8fEhoaypUrV4Sdi/Csk3L37l2io6NpbW39ka9UxIgolkRERH4UjLbSf8PaFtkco/X3vMX3v4rxOTParj+Ve11fX0ev16PX61+wYNfW1tDr9T/Kri+Rr0cUSyIiIiIiIiIimyCKJRERERERERGRTRDFkoiIiIiIiIjIJohiSURERERERERkE0SxJCIiIiIiIiKyCaJYEhERERERERHZBFEsiYiIiIiIiIhsgiiWREREREREREQ2QRRLIiIiIiIiIiKbIIolEREREREREZFNEMWSiIiIiIiIiMgmiGJJRERERERERGQTRLEkIiIiIiIiIrIJ/weMsmNv1XNuswAAAABJRU5ErkJggg==
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
Психологические условия развития вторичной языковой личности преподавателя-лингвиста
[ext[ссылка|https://new-disser.ru/_avtoreferats/01003344171.pdf]]
Материалом для анализа являлись электронные ресурсы: база данных электронной библиотеки eLIBRARY.RU, база оцифрованных русскоязычных текстов GoogleBooks и базы данных поисковых запросов систем Yandex (yandexwordstat.ru) и Google (Google Trends).
На момент написания данной статьи база данных электронной библиотеки eLIBRARY.RU содержит более 34 млн (точно) научных публикаций (статей, монографий, книг, авторефератов диссертаций). Библиотека хранит электронный версии 5600 отечественных научно-технических журналов. Большое количество данных материалов находится в открытом доступе. Библиотека предоставляет зарегистрированным пользователям возможность использовать свою поисковую систему с развитыми сервисами быстрого и расширенного поиска.
База данных GoogleBooks содержит электронные версии отсканированных печатных книг и монографий на различных языках. Русскоязычный корпус текстов охватывает временной диапазон изданий начиная с 1800 года до 2019 года включительно. Тематика изданий включает официальные документы, научную, научно-популярную и художественную литературу Общий объем ресурсов 40 млн книг
(google.com/intl/en/googlebooks/about/history.html). На 2011 год русскоязычный корпус составлял 591310 книг. (Syntactic annotation for the Google Books Ngram Corpus)
Третий источник — ресурсы баз данных запросов в сети интернет. Эти данные могут быть извлечены с помощью сервисов yandex.wordstat.ru и Google Trends.
процедура исследования предполагала проведения трех этапов. Первый этап — формирование лингвистического корпуса.
Второй этап проведение статистического анализа для выявления кластеров и терминологических коллокаций по теме исследования. Третий этап ретроспективный анализ эволюции отобранных концептов на протяжении определенного этапа.
На первом этапе для этого был проведен срез информационных ресурсов по тематике исследования, в результате получен лингвистический корпус. Отбор материалов проводился в базе данных электронной библиотеки eLIBRARY.RU с помощью поисковой системы данной сайта библиотеки.
[[*|ПММИ СтатьяПедагогикаРУДН2020_07_08 корпус]]
На втором этапе проводился лингвостатистический анализ полученного списка (текста) с помощью программы AntConc. Для этого после загрузки исследуемого файла были осуществлены следующие операции:
1. с помощью опции Concordance сформирован конкорданс;
2. с помощью опции Word List был сформирован частотный словарь слов используемых в исследуемом корпусе (наличие частотного словаря позволяет выявить кластеры и коллокации);
3. с помощью опции Clusters получены два списка кластеров включающих лемму личность
4. с помощью опции Collocates был получен список коллокаций.
Был проведен анализ полученных списков на предмет выявления кластеров и коллокаций объективирующих концепты разных уровней (гипер, мезо и ката) входящих в мегаконцепт ЛИЧНОСТЬ. При этом использовались как статистические (квантитативные) показатели так и наличие данных объективаторов в лингвистических и педагогических (психологических ?) словарях.
Третий этап включал исследование эволюции отобранных концептов в дидактических (предагогических) исследованиях в течении определенных промежутков времени. Как было отмечено во введении. Обстоятельства, связанные с формированием электронных баз данных документов, накладывают определенные ограничения на использование источников информации и инструменты используемых при исследовании корпуса. Так база данных eLIBRARY.RU содержит в основном документы начиная с 2005 года. Отдельные сканы книг и статей более раннего периода крайне немногочисленны.
База данных GoogleBooks несмотря на значительно больший охват по времени документов на русском языке, содержат сканы только книг.
Поэтому исследования были проведены по двум направлениям: исследование статистики использования концептов в книгах по базе данных GoogleBooks с использованием онлайн-сервиса компании Google NgramViewer и исследование статистики использования концептов в научных статьях (база данных eLIBRARY.RU), с использованием инструментов поиска данной электронной библиотеки.
Анализ лингвистического корпуса осуществлялся с использованием методов корпусной лингвистики с специализированного программного обеспечения и общепингвистических методов научного описания и оценки методов когнитивной лингвистики связности информации путем выявления логико-семантических корреляций меж-ду его гетерогенными компонентами.
В интерпретации и оценке полученных результатов учитывались базо-вые положения работ отечественных и зарубежных исследователей в области общей и социальной семиотики (Гаврилова, 2016; Кибрик, 2010; Halliday, 1994; Kress, 2010; Lemke, 2002; Martinec, Salway, 2010), поликодового текста (Анисимова, 2003; Вашунина, 2007; Ворошилова, 2013, Омельяненко, Рем-чукова, 2018); социо- и психолингвистики (Костомаров, 2010; Сонин, 2003; Сорокин, Тарасов, 1990), профессиональной и электронной лингводидактики (Евдокимова, 2017; Назаренко, 2013; Полат и др., 200 9; Титова, 2017).
ГРНТИ - Государственный рубрикатор научно-технической информации (прежнее наименование - Рубрикатор ГАСНТИ) представляет собой универсальную иерархическую классификацию областей знания, принятую для систематизации всего потока научно-технической информации. [ext[ссылка|http://grnti.ru/]]
Корпус согласное Захарову
[ext[ссылка|https://docplayer.ru/26162254-Korpusnaya-lingvistika.html]]
по Назначению - исследовательские доступность - свободно доступные объем текстов - «фрагментнотекстовые», специализированный
Корпусы текстов: инструмент исследования или обучения языку?
Лингвистические корпуса: определение основных понятий и типология Козлова Наталья Валерьевна Копотев
https://iknigi.net/avtor-mihail-kopotev/105402-vvedenie-v-koфusnuyu-lingvistiku-mihail-kopotev/read/page-2.html
невозможности точного автоматического анализа текста .... На сегодняшний день качественное аннотирование текста всегда связано с существенной ручной постобработкой там же page-4.html
О.В. Нагель Корпусная лингвистика и ее использование в компьютеризированном языковом обучении http://sun.tsu.ru/mminfo/000349304/04/image/04-053.pdf
Корпусная лингвистика как инструмент для изучения юридической лексики https://vestnik.msal.ru/jour/article/viewFile/624/624
*[ext[ссылка Ngram_Viewer Википедия|https://ru.wikipedia.org/wiki/Google_Books_Ngram_Viewer]]
* Что корпус ~GoogleBooksNgram может дать для понимания механизмов сохранения и передачи знаний в человеческом обществе?[ext[ссылка|https://kpfu.ru/portal/docs/F1429724929/doklad.na.kognitivnom.seminare.Chernigovskoj.pdf]]
*[[Описание По Ngram_Viewer]] [ext[ссылка|https://revolution.allbest.ru/languages/00587666_0.html]]
[ext[ссылка|http://journals.rudn.ru/polylinguality]]
Плата за публикацию: не взимается
Журнал является авторитетным рецензируемым изданием, публикующим результаты научных исследований в области общего и прикладного языкознания, лингводидактики, лингвокультурологии, педагогики.
Ключевые слова
адаптация английский язык билингвизм дискурс коммуникативная компетенция концепт культура лингвокультурология межкультурная коммуникация мотивация обучение перевод родной язык русский язык русский язык как иностранный семантика текст транслингвизм язык @@color:red; языковая личность языковое сознание @@
Полонский Понятийно-терминологический аппарат педагогики и образования
[ext[ссылка в библиотеку|file:///D:/BI/S/pon-term-apparat.pdf]]
!! Терминология
* [[Шелов]] С. Д.
* [[ЯЗЫКОВАЯ ЛИЧНОСТЬ: АСПЕКТЫ ИЗУЧЕНИЯ]]
* [[ФОРМИРОВАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТОВ В ПРОФЕССИОНАЛЬНО-ОРИЕНТИРОВАННОЙ СРЕДЕ: ОПЫТ РАЗРАБОТКИ ПРОГРАММЫ МАГИСТРАТУРЫ В ТЮМЕНСКОМ ГОСУДАРСТВЕННОМ УНИВЕРСИТЕТЕ]]
* [ext[ссылка ЛИНГВОКУЛЬТУРНОЕ СОЗНАНИЕ РУССКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ. МОДЕЛИРОВАНИЕ СОСТОЯНИЯ И ФУНКЦИОНИРОВАНИЯ|https://www.it-claim.ru/Education/Course/Knowledge/Files/R2.pdf]]
* [[CLAIM – научно-образовательный кластер]]
* [ext[ссылка Фельде|https://iknigi.net/avtor-olga-felde/171767-leksikograficheskoe-modelirovanie-russkoy-i-angliyskoy-pirologicheskoy-terminologii-olga-felde/read/page-1.html]]
*[ext[ссылка|https://vak.minobrnauki.gov.ru/az/server/php/filer_new.php?table=att_case&fld=autoref&key[]=168450&version=100]]
*[ext[ссылка Педагогический тезаурус|https://docviewer.yandex.ru/view/0/?page=1&*=ShTbT9fEkBCgoI2%2F5IU%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%3D&lang=ru]]
*[[Формирование понятийно-терминологической системы педагогики в 90-е годы XX века. Кичева И.В]]
*[[Развитие и формирование современной понятийно-терминологической системы профессионального образования России Есенина Е.Ю.]]
*[[Шевцова А. Ю.]]
*[[Астраханцев Н. А. Методы и программные средства извлечения терминов из коллекции текстовых документов предметной области]]
*[[Чайникова]]
---
* [[Сборная по диссертациям]]
* [[Статьи]]
* [[Книги]]
* [[Электронные тренажеры]]
* [[Среды]]
[ext[ссылка Указ губернатора|http://voronezh-city.ru/documents/obyavleniya/2020/March/31/Ukaz132u.pdf]]
Тезаурусное моделирование терминологии синтаксиса
# Теоретическая обоснованность реализации принципа преемственности в непрерывном образовании старших дошкольников и младших школьников в аспекте речевого развития доктор педагогических наук 2013
предыдущий вариант
ТЕОРЕТИЧЕСКАЯ ОБОСНОВАННОСТЬ ОСУЩЕСТВЛЕНИЯ ПРЕЕМСТВЕННОСТИ В НЕПРЕРЫВНОМ ОБРАЗОВАНИИ ДЕТЕЙ ДОШКОЛЬНОГО И МЛАДШЕГО ШКОЛЬНОГО ВОЗРАСТА В УСЛОВИЯХ ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ Иматова Л.М. 21.12.2013
---
Саморегуляция (Проблемы развития личности в контексте деятельности и воспитания саморегулятивные способности человека в профессиональной деятельности Г.В. Ожиганов) [ext[ссылка|http://journals.rudn.ru/psychology-pedagogics/issue/viewIssue/913/9]]
---
!ПО
[ext[ссылка 1|http://www.laurenceanthony.net/software/antconc/]]
[ext[ссылка 2|https://lektsii.org/5-72958.html]]
---
[ext[ссылка|https://vva.mil.ru/upload/site21/document_file/uiFExmmeAO.pdf]]
*[ext[ссылка html|https://ru.texthandler.com/text-tools/letter-case-converter/]]
отель колифорния [ext[ссылка|https://zen.yandex.ru/media/id/5bc43992c947d000aa5281d1/hotel-california-rebenokorkestr-samoe-trogatelnoe-ispolnenie-i-5-mln-prosmotrov-za-dva-mesiaca-5f1427f7112f9063f682cbb5]]
*nsa [ext[ссылка|https://mail.yandex.ru/?uid=44297129#inbox]]
ППК - предложно-падежные конструкции
[[Мордас]]
Предложно-падежная конструкция – это единый функциональный
комплекс предлога и падежа [1, c. 145].
см. [ext[ссылка|https://docviewer.yandex.ru/view/0/?page=1&*=O%2BHLW19n4hdL8zcyqNFUpDiMxrZ7InVybCI6Imh0dHA6Ly93d3cuYnJzdS5ieS9zaXRlcy9kZWZhdWx0L2ZpbGVzL2RldXRzY2hsYW5nL0tvbmZlcmVuejIwMTcvdmFseXVrZXZpY2gucGRmIiwidGl0bGUiOiJ2YWx5dWtldmljaC5wZGYiLCJub2lmcmFtZSI6dHJ1ZSwidWlkIjoiMCIsInRzIjoxNTg2MjU5OTUzNjAyLCJ5dSI6IjYzODYxMzY1NzE1Njk5OTIzMjQiLCJzZXJwUGFyYW1zIjoibGFuZz1ydSZ0bT0xNTg2MjU5OTQzJnRsZD1ydSZuYW1lPXZhbHl1a2V2aWNoLnBkZiZ0ZXh0PSVEMCVCRiVEMSU4MCVEMCVCNSVEMCVCNCVEMCVCQiVEMCVCRSVEMCVCNiVEMCVCRCVEMCVCRS0lRDAlQkYlRDAlQjAlRDAlQjQlRDAlQjUlRDAlQjYlRDAlQkQlRDAlQjAlRDElOEYrJUQwJUJBJUQwJUJFJUQwJUJEJUQxJTgxJUQxJTgyJUQxJTgwJUQxJTgzJUQwJUJBJUQxJTg2JUQwJUI4JUQxJThGKyVEMSU4RCVEMSU4MiVEMCVCRSslRDAlQjUlRDAlQjQlRDAlQjglRDAlQkQlRDElOEIlRDAlQjkrJUQxJTg0JUQxJTgzJUQwJUJEJUQwJUJBJUQxJTg2JUQwJUI4JUQwJUJFJUQwJUJEJUQwJUIwJUQwJUJCJUQxJThDJUQwJUJEJUQxJThCJUQwJUI5KyVEMCVCQSVEMCVCRSVEMCVCQyVEMCVCRiVEMCVCQiVEMCVCNSVEMCVCQSVEMSU4MSslRDAlQkYlRDElODAlRDAlQjUlRDAlQjQlRDAlQkIlRDAlQkUlRDAlQjMlRDAlQjArJUQwJUI4KyVEMCVCRiVEMCVCMCVEMCVCNCVEMCVCNSVEMCVCNiVEMCVCMCZ1cmw9aHR0cCUzQS8vd3d3LmJyc3UuYnkvc2l0ZXMvZGVmYXVsdC9maWxlcy9kZXV0c2NobGFuZy9Lb25mZXJlbnoyMDE3L3ZhbHl1a2V2aWNoLnBkZiZscj0xOTMmbWltZT1wZGYmbDEwbj1ydSZzaWduPThlNTUyZmQ2M2M4ZmZlNDQxZDk4Nzg4MjFkZjRmZTNhJmtleW5vPTAifQ%3D%3D&lang=ru]]
[ext[ссылка Вопросы психолингвистики|https://iling-ran.ru/library/voprosy/42/VPL-4-2019-fin-202-208.pdf]]
```
Подключаем библиотеки и импортируем из них нужные функции
from tkinter import *
from tkinter import messagebox
from tkinter import filedialog
import time
from datetime import datetime
def popup(event):
pmenu.tk_popup(event.x_root, event.y_root)
def app():
messagebox.showinfo('About the App','Название программы Notepad\nVersion 0.1\nMade on Python 3.6.2 in 06.01.2018')
def author():
messagebox.showinfo('About the Author','The Author of the programm is *********\nThanks for using us!')
def close(event=None):
wn.destroy()
#Создаём функции
def newfile(event=None):
wn.title('Untitled.txt') #Nameless.txt
field.delete(1.0, END)
def openfile(event=None):
filename = filedialog.askopenfilename()
pos = filename.rfind('/') + 1
newName = filename[pos:]
file = open(filename, 'r')
content = file.read()
field.delete(1.0, END)
field.insert(1.0, content)
file.close()
wn.title(newName)
def savefile(event=None):
filename = filedialog.asksaveasfilename()
file = open(filename + '.txt', 'w')
content = field.get(1.0, END)
file.write(content)
file.close()
def cut():
field.event_generate('<<Вырезать>>')
def copy():
field.event_generate('<<Копировать>>')
def paste():
field.event_generate('<<Вставить>>')
def undo():
field.event_generate('<<Отменить>>')
def redo(event=None):
field.event_generate('<<Повторить>>')
def delete():
field.event_generate('<<Очистить>>')
def selectall():
field.event_generate('<<Выбрать всё>>')
def time_and_date(event=None):
field.insert(END, datetime.now())
#Создаём окно текстового редактора и привязываем быстрые кнопки к командам
wn = Tk()
wn.geometry('400x400')
wn.title('Notepad')
menubar = Menu()
wn.config(menu=menubar)
fmenu = Menu(menubar)
menubar.add_cascade(label='File', menu=fmenu)
fmenu.add_command(label='Новый файл', accelerator='Ctrl+N', command=newfile)
fmenu.add_command(label='Открыть', accelerator='Ctrl+O', command=openfile)
fmenu.add_command(label='Сохранить как', accelerator='Ctrl+S', command=savefile)
fmenu.add_command(label='Close', accelerator='Ctrl+Q', command=close)
editmenu = Menu(menubar)
menubar.add_cascade(label='Edit', menu=editmenu)
editmenu.add_command(label='Вырезать', accelerator='Ctrl+X', command=cut)
editmenu.add_command(label='Копировать', accelerator='Ctrl+C', command=copy)
editmenu.add_command(label='Вставить', accelerator='Ctrl+V', command=paste)
editmenu.add_command(label='Отменить', accelerator='Ctrl+Z', command=undo)
editmenu.add_command(label='Повторить', accelerator='Shift+Ctrl+Z',command=redo)
editmenu.add_command(label='Удалить', accelerator='Del', command=delete)
editmenu.add_command(label='Выбрать всё', accelerator='Ctrl+A', command=selectall)
editmenu.add_command(label='Время и дата', accelerator='Ctrl+Tab',command=time_and_date)
aboutmenu = Menu(menubar)
menubar.add_cascade(label='О', menu=aboutmenu)
aboutmenu.add_command(label='О приложении', command=app)
aboutmenu.add_command(label='Об авторе', command=author)
setingsmenu = Menu(menubar)
menubar.add_cascade(label='Настройки', menu=setingsmenu)
field = Text(wn)
field.pack()
pmenu = Menu(field)
pmenu.add_command(label='Вырезать', accelerator='Ctrl+X', command=cut)
pmenu.add_command(label='Копировать', accelerator='Ctrl+C', command=copy)
pmenu.add_command(label='Вставить', accelerator='Ctrl+V', command=paste)
pmenu.add_command(label='Выбрать всё', accelerator='Ctrl+A', command=selectall)
pmenu.add_command(label='Отменить', accelerator='Ctrl+Z', command=undo)
pmenu.add_command(label='Повторить', accelerator='Shift+Ctrl+Z', command=redo)
field.bind('<Button-3>', popup)
field.bind('<Control-n>', newfile)
field.bind('<Control-o>', openfile)
field.bind('<Control-s>', savefile)
field.bind('<Control-Z>', redo)
field.bind('<Control-Tab>', time_and_date)
field.bind('<Control-q>', close)
```
* Формирование социокультурной компетенции
* Ресурс «PROчтение»
* Система упражнений для обучения чтению помощью программы «PROчтение»
* Примеры разработанных упражнений для обучения чтению
*
[ext[ссылка|http://prepodavatel-xxi.ru/]]
Стоимость редакционно-издательских услуг по проведению допечатной подготовки публикации (литературное редактирование, корректура, верстка, проверка переводов метаданных статей) составляет 3500 руб., оплата производится только после получения положительной рецензии и принятия редакционной коллегией журнала решения об опубликовании статьи в конкретном выпуске
[[Смыкунова]] Н.В. Прецедентные феномены в речевом общении русской языковой личности и процессе обучения русскому языку как иностранному
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=835882]]*[ext[ссылка 2|https://new-disser.ru/_avtoreferats/01002614756.pdf]]
{{snv_ar_s4_1}}*[[snv_ar_s4_1]]
{{snv_ar_s5_2}}*[[snv_ar_s5_2]]
{{snv_ar_s5_3}}*[[snv_ar_s5_3]]
{{snv_ar_s6_3}}*[[snv_ar_s6_3]]
[ext[ссылка|https://naukaru.ru/ru/nauka/journal/77/view]]
C 2020 года за редакционно-издательскую подготовку статьи взимается плата в размере 2000 рублей.
Идет набор материала в ПЕРВЫЙ номер 2021 года (выход планируется в феврале).
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
Методы и материалы
В нашей работе мы исходим из основного методологического постула-
та о том, что «категория – это концептуальное объединение объектов, или
объединение объектов на основе общего концепта» [8, с. 6; 9, с. 112].
Данное исследование состоит из нескольких шагов. Источниками мате-
риала исследования послужили монографии и учебные пособия по гомеопа-
тии как сфера функционирования терминологических единиц (равно как
и общенародных лексем) и гомеопатические словарные источники (как сфера
фиксации терминов). Во-первых, в отобранном корпусе терминов и единиц
общенародного лексикона, обозначающих лиц в гомеопатическом подъязыке
(70 единиц), посредством компонентно-дефиниционного анализа и концепту-
ального анализа семантики терминов в гомеопатическом дискурсе (в кон-
кретно-смысловом, речевом аспекте) мы выявили концепты и концептуаль-
ные признаки. В данном исследовании мы принимаем широкое понимание
концепта как любого ментального конструкта, которым оперирует человек
в ходе своей когнитивной деятельности. Таким образом, одной из разновид-
ностей концепта становится научный концепт. Во-вторых, мы выявляем все
языковые средства вербализации выявленных концептов, формирующих ка-
тегорию деятеля в изучаемом нами подъязыке.
КАТЕГОРИЯ ДЕЯТЕЛЯ В ПОДЪЯЗЫКЕ ГОМЕОПАТИИ (НА МАТЕРИАЛЕ РУССКОГО ЯЗЫКА) 1 2020
---
Описание материала и методики исследования
Для того чтобы определить, какие именно знания первостепенны для
успешной социокультурной адаптации, нами был проведен опрос иностран-
ных слушателей подготовительного отделения Пермского национального ис-
следовательского политехнического университета (далее – ПНИПУ). В опро-
се приняли участие 80 респондентов в возрасте от 18 до 38 лет из четырех
стран мира (Египет, Ирак, Китай, Сирия). В качестве формы опроса было вы-
брано полуформализованное интервью, включающее блоки биографии, мо-
тивов приезда и обучения в России, трудностей, связанных с адаптацией.
Интервью проводились на родных языках слушателей в два этапа: до
и после обучения на подготовительном отделении. В основу опросных мате-
риалов был положен апробированный диагностический инструментарий, раз-
работанный специалистами по адаптации личности, в частности, Шкала со-
циальной дистанции Богардуса, семантический дифференциал Осгуда [11]
и тест на социальное самочувствие (на внутреннюю и ситуативную тревож-
ность). Помимо этого использовались диагностические материалы, представ-
ленные в исследовании М.А. Ивановой и Н.А. Титковой [12] и учитывающие
особенности контингента иностранных студентов.
В соответствии с целью и логикой нашего исследования мы составили
перечень факторов и индикаторов, влияющих на успешность адаптации с по-
зиции самого адаптирующегося. Нам было важно выявить наиболее общие
и значимые для всех иностранных обучающихся трудности.
''Описание результатов исследования ''
По результатам анализа полученных в ходе опроса данных были выявлены типичные трудности, с которыми столкнулись иностранные слушатели на первом этапе (таблица).
[img[пример22р1.png]]
СОЦИОКУЛЬТУРНАЯ АДАПТАЦИЯ ИНОСТРАННЫХ
СТУДЕНТОВ К ОБРАЗОВАТЕЛЬНОЙ СРЕДЕ
ПОЛИТЕХНИЧЕСКОГО ВУЗА ПРИ ОБУЧЕНИИ
РУССКОМУ ЯЗЫКУ КАК ИНОСТРАННОМУ Содержание №4 2019
[ext[ссылка|http://www.pmedu.ru/index.php/ru/]]
стоимость редакционно-издательских услуг по проведению допечатной подготовки публикации (литературное редактирование, корректура, верстка, проверка переводов метаданных статей) составляет 3500 руб.
[ext[ссылка|http://www.gpa.cfuv.ru/ru/nauchnaya-deyatelnost/266-nauchnye-izdaniya/izdaniya-vak/problemy-sovremennogo-pedagogicheskogo-obrazovaniya/1345-uvazhaemye-kollegi]]
Проблемы формирования языковой личности студентов в процессе обучения
Иванова Ю.Н.
Педагогический журнал. 2013. № 1-2. С. 32-47.
*[ext[ссылка elb|https://elibrary.ru/item.asp?id=19000571]]
*[ext[ссылка ЯД|https://docviewer.yandex.ru/view/0/?*=huxeKyqB%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%3D%3D&lang=ru]]
*[ext[ссылка локальная|D:\TRab\2020\02\20200205\elibrary_19000571_60510690.pdf]]
[[Протченко О.П.]]
Протченко О.П. [[Формирование языковой личности учителя начальных классов в педагогическом училище]]
[[pop_ar 1]]
ФОРМИРОВАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ УЧИТЕЛЯ НАЧАЛЬНЫХ КЛАССОВ В ПЕДАГОГИЧЕСКОМ УЧИЛИЩЕ [[Протченко]] О.П. автореферат дис. ... кандидата педагогических наук / Минск, 1997 13.00.06
[ext[ссылка 1|http://nauka-pedagogika.com/viewer/394928/a#?page=1]]
[ext[ссылка 2|http://nauka-pedagogika.com/pedagogika-13-00-01/dissertaciya-formirovanie-yazykovoy-lichnosti-uchitelya-nachalnyh-klassov-v-pedagogicheskom-uchilische]]
Г. В. Елохова,Л. А. Романенко
[ext[ссылка|http://journals.tsu.ru/uploads/import/1367/files/22.pdf]]
[ext[ссылка|http://prof-obr42.ru/]]
После принятия положительного решения о публикации, автор при необходимости может оплатить доставку журнала по указанным реквизитам. Отсканированную квитанцию об оплате отправить e-mail: krirpo@krirpo.ru и указать адрес, по которому будет выслан журнал.
[ext[ссылка|адрес]]
8. Плата с аспирантов очного отделения за публикацию рукописей не взимается. Статьи аспирантов принимаются только в соавторстве с научным руководителем или другим доктором наук.
Программы онлайн транслитирирования:
* http://translate.meta.ua/translit/
* http://transliter.ru/autotranslit/
* http://translit.ru/
* http://www.russki-mat.net/trans2.html
[ext[ссылка|http://po-rt.ru/home/trebovaniya-k-oformleniyu]]
Публикация в журнале платная. Стоимость подготовки статьи к печати (включая экспертизу, редактирование, верстку, печать) – 4000 рублей за статью объемом до 10000 знаков (без учета метаданных), 5000 рублей за статью объемом 11000 – 20000 знаков (без учета метаданных) и 7000 рублей за статью объемом свыше 20000 знаков (без учета метаданных). Оплата производится после получения подтверждения, что по результатам независимой экспертизы статья рекомендована к публикации.
[ext[ссылка|https://docviewer.yandex.ru/view/0/?page=1&*=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&lang=ru]]
[ext[ссылка|https://docviewer.yandex.ru/view/44297129/?page=1&*=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%3D&lang=ru]]
УДК 81'23 ББК 81.006
ПСИХОЛИНГВИСТИЧЕСКАЯ МОДЕЛЬ ПРОФЕССИОНАЛЬНОГО САМООПРЕДЕЛЕНИЯ ЛИЧНОСТИ
Мыскин Сергей Владимирович
[ext[ссылка KL|https://cyberleninka.ru/article/n/psiholingvisticheskaya-model-professionalnogo-samoopredeleniya-lichnosti]]
Кандидат психологических наук, доцент, советник ректора, Московская академия рынка труда и информационных технологий myskinsv@yandex. т
ул. Молодогвардейская, 46, 121351 г. Москва, Российская Федерация
Аннотация. Статья раскрывает психолингвистические аспекты профессионально-трудовой социализации личности в современных рыночных условиях. Актуальность данного исследования обусловлена ростом профессиональных речевых произведений, регулирующих и направляющих профессиональную деятельность и профессиональное общение современного специалиста.
Фактором, определяющим эффективность профессионально-трудовой социализации, выступает профессиональное самоопределение языковой личности как результат ориентировки человека в мире труда, представленного профессиональными текстами. С психолингвистической позиции ориентация языковой личности осуществляется с опорой на языковые и речевые типы взаимосвязей профессионала со средой.
С целью сформировать комплексное представление о психолингвистических аспектах социализации языковой личности в мире труда в статье описана психолингвистическая модель профессионального самоопределения языковой личности, включающая лингвосемиотический, стилистический и интериоризационный этапы, которые раскрывают закономерности восприятия и воспроизводства субъектом профессиональных текстов.
Охарактеризованы категории, с использованием которых создавалась описанная ^ модель: профессиональное самоопределение языковой личности, профессиональный о текст, стиль профессионального речевого произведения, «образ автора» в профессио-рдВ нальном тексте. Профессиональное самоопределение языковой личности раскрыто О через «образ профессионального мира», формируемый в процессе восприятия профес-| сиональных текстов. Профессиональный текст характеризуются как выраженная в речи 3 взаимосвязанная совокупность общественно выработанных способов обращения с пред-~ метами труда и приемов профессиональной коммуникации, познавательная и эмоциональная значимость, а также интенсивность и широта использования которых обусловлены целями совместной профессиональной деятельности. Стиль профессионального речевого произведения выражен профессионально-ролевым единством элементов стиля, принципов отбора и сочетаний форм профессиональной речи, обусловленных профессиональной деятельностью. «Образ автора» в профессиональных текстах проявляется в совокупности его связи с образами героев-профессионалов, а также в их тесной связи с принципами отбора и синтеза речевых средств в разных профессиональных ситуациях.
Ключевые слова: профессиональное самоопределение личности, психолингвистическая модель, профессиональный текст, языковая личность, образ профессионального мира, профессионально-речевой стиль.
Одной из ключевых задач российского общества является нахождение эффективных механизмов социализации человека в современных социально-экономических условиях. Ее решением занимаются такие науки, как экономика, социология, психология, педагогика, юриспруденция. Объектом исследования выступают системы и факторы мотивации трудовой деятельности, общественные трудовые ценности и социально-профессиональные страты, профессионально важные качества и функциональные обязанности работника, условия и средства профессионального обучения, трудовое право и др. Вместе с тем в психолингвистике аспекты профессионально-трудовой социализации человека изучены недостаточно. Однако значимость психолингвистического анализа социализации человека в мире труда обусловлена общепринятым постулатом о ведущей роли языка в формировании личности и пересечением в социально-психологической парадигме понятий «социализация» и «развитие личности», которое отмечено в работах по социальной психологии (см., напр.: [1, с. 275]).
Для раскрытия психолингвистических аспектов социализации человека в рыночных условиях необходимо провести дефиницион-ный анализ данного понятия. Традиционно социализация определяется как совокупность двух процессов: усвоение норм при вхождении в социальную среду и воспроизводство этих норм в деятельности и общении. По нашему мнению, определяющим, с точки зрения эффективности профессионально-трудовой социализации, является начальный этап, «вхождение» в мир профессий, где ключевым фактором выступает профессиональное самоопределение личности. Данное утверждение сформулировано исходя из того, что эффективная социализация обеспечивается способностью человека самоориентироваться в мире труда, в мире профессии [4, с. 53-58]. В свою очередь, самоориентация субъекта в профессиональной сфере является смысловым ядром профессионального самоопределения личности.
С позиции психолингвистики ориентация языковой личности в профессиональном мире может осуществляться при реализации двух типов взаимосвязей: а) с системой языка как совокупностью знаковых единиц, относящихся к определенной профессиональной сфере общения; б) с особенностями речи, обусловленными конкретной профессиональной деятельностью и профессиональным общением. Представленность этих двух типов взаимосвязей в языковом сознании субъекта, по нашему предположению, выступает психолингвистической основой профессионального самоопределения личности, что делает актуальным построение психолингвистической модели профессионального самоопределения личности. Под моделью в нашем исследовании понимается структурируемый образ процесса профессионального самоопределения личности. Создание такого образа достигается посредством описания этапов рассматриваемого процесса.
Прежде чем представить результат психолингвистического моделирования профессионального самоопределения языковой личности, считаем необходимым обозначить объект исследования. Профессиональная деятельность специалиста организуется его профессиональным (языковым и неязыковым) сознанием [9], содержанием которого является образ профессионального мира индивида, сформированный при восприятии профессионально-знаковой и профессионально-предметной действительности. Профессиональное самоопределение целесообразно рассматривать применительно к людям, еще не имеющим каких-либо профессиональных знаний, умений и навыков. Следовательно, целевой аудиторией исследования являлась, прежде всего, учащаяся молодежь, у которой представления о профессиональном мире формируются в основном при восприятии профессионально-знаковой действительности, т. е. профессиональных текстов. Таким образом, объектом нашего исследования является языковое сознание учащейся молодежи.
Процесс профессионального самоопределения языковой личности с позиций психолингвистики осуществляется в три этапа. При восприятии профессиональных речевых произведений в сознании носителя языка формируется «образ героя-профессионала», осуществляющего соответствующую деятельность. К профессиональным текстам относятся различные виды деловой документации (инструкция, должностные обязанности, приказ, трудовой контракт и т. п.), профессиональная литература (описания профессиональной деятельности, учебная литература), а также художественные произведения на профессиональную тему («производственный роман», стихи о профессиях и труде и т. п.). Связи первого типа в профессиональном тексте представлены тезаурусом, строем профильного языка, специальными языковыми единицами, грамматическими категориями. Второй тип связей представлен способами профессиональной речевой деятельности и приемами профессионального общения «героя» в условиях взаимодействия с другими специалистами. Субъект, воспринимая профессиональный текст, ориентируется в указанных типах связей, поскольку определяет и фиксирует ряд параметров «Я» как субъекта речи (действий) посредством формулирования коннотативного отношения к лексическим, грамматическим, фонетическим, словообразовательным, морфологическим и синтаксическим аспектам профессионального прецедентного текста. В результате формируется установка на понимание профессионального текста. Обозначим данный этап лингвосемиотическим.
Установка на понимание профессионального текста позволяет субъекту перейти к построению «образа героя», которое осуществляется маркированием проявлений обоих типов связей при перцепции описываемых профессиональных действий, а также профессиональных речевых высказываний и отдельных характеристик самого «героя». При этом субъект, воспринимающий текст («искатель»), ведет внутренний диалог (осознаваемый или неосознаваемый) с собою как героем воспринимаемого речевого произведения («искомый»). Содержание диалога включает вербализацию во внутренней речи эмоциональной оценки действий «искомого» и их результатов («Да, хорошо он провернул это дело!», «Ну, как же некрасиво он поступил!»), а также их коррекцию («Надо было сделать по-другому», «Поднабрался б он знаний в этом вопросе»). В процессе маркирования воспринимающий осуществляет первые «пробы» идентификации себя с профессионалом, которые проявляются в абстрактном выполнении отдельных профессиональных действий и создании речевых высказываний на профессиональную тему. Далее в процессе диалога «искатель» конфигурирует маркированные языковые и речевые единицы, результаты действий и отдельных речевых высказываний «искомого» в единый образ «героя-профессионала». Этот этап можно определить как стилистический.
Созданное в сознании воспринимающего текст целостное представление о «герое-профессионале» обеспечивает возможность его перехода в образ «Я-профессионал», т. е. его интериоризации. Когда образ «героя-профессионала» создан, оцениваются не его отдельные действия и речевые высказывания, а вся деятельность, включая общение, и ее цели. В случае возникновения эмоциональной реакции, подкрепляющей образ «героя-профессионала», «искатель» мысленно принимает профессиональную роль и выполняет соответствующую профессиональную деятельность совместно с героем произведения. Осуществление деятельности вместе с героем сопровождается усвоением описываемых эффективных и коррекцией неэффективных действий,
способов и приемов общения. Чем глубже внутренний диалог, тем интенсивнее сближение воспринимающего текст и его героя. Установившиеся между субъектом, воспринимающим произведение, и его героем интеротношения обеспечивают интериоризацию искателем маркированных связей первого и второго типов, характеризующих профессиональную деятельность, профессиональное общение и самого «героя-профессионала». Таким образом происходит соотнесение воспринимающего профессиональный текст с образом «героя-профессионала», а следовательно, и с профессией в целом. Отметим, что возникшие интеротношения формируют «образ профессионального мира». Восприятие профессионального речевого произведения завершается переходом образа «героя-профессионала» в образ «Я-профессионал», т. е. самоидентификацией индивида с субъектом профессиональной деятельности. Определим этот этап как интериоризационный.
Итак, психолингвистическая модель профессионального самоопределения личности включает три этапа: лингвосемиотический, стилистический и интериоризационный. Профессиональное самоопределение осуществляется в ходе восприятия профессиональных текстов. Вектор процесса направлен от перцепции языковых единиц и их коннотативных компонентов к маркировке способов речевой профессиональной деятельности, их сочетаний с приемами профессионального общения, а также конфигурированию маркированных элементов в единый образ профессионала и далее к абстрактному выполнению автором его профессиональной деятельности и осуществлению профессионального общения с позиции «героя» профессионального текста.
Описанная выше психолингвистическая модель профессионального самоопределения личности создана с опорой на следующие ключевые категории: 1) профессиональное самоопределение языковой личности, 2) профессиональные тексты, 3) стиль профессионального речевого произведения, 4) «образ автора» в профессиональном тексте. Дадим краткую характеристику каждой из указанных категорий с выделением их основных свойств.
1. Профессиональное самоопределение языковой личности традиционно исследуется академической психологией, поскольку сама категория «личность» включена в объект данной науки. В наших предыдущих работах был осуществлен психолингвистический анализ понятия «профессиональное самоопределение» применительно к языковой личности (см., напр.: [8]). По результатам проведенного исследования была дана следующая дефиниция данного явления: «Профессиональное самоопределение языковой личности есть поиск и нахождение личностного смысла, с одной стороны, в процессе восприятия профессионального общения, в котором выражаются поведенческие и языковые нормы, применяемые в ситуациях профессионального взаимодействия в соответствии с позицией, занимаемой в системе профессиональных отношений, и, с другой стороны, в формировании языкового профессионального интеллекта как способности индивида создавать коммуникативно-деятельностные функциональные связи с соответствующей профессиональной средой» [там же, с. 74]. Такое понимание профессионального самоопределения языковой личности базируется на традиционном психолингвистическом подходе, в котором постулируется примат деятельности [6] при интерпретации как объективной, так и субъективной реальности. Мы придерживаемся мнения о том, что профессиональное самоопределение языковой личности осуществляется в процессе формирования «образа профессионального мира» и обеспечивает социализацию индивида. Применительно к психолингвистической модели процесса профессионального самоопределения языковой личности «образ мира» рассмотрен в рамках теории языковой личности, что позволило раскрыть взаимосвязь речевой деятельности человека с процессом его профессионализации.
Предложенная дефиниция профессионального самоопределения языковой личности имплицитно выстраивает параллель с названными выше типами языковых и речевых связей в профессиональном тексте, в рамках которых происходит ориентировка субъекта в мире труда. Поясним данное утверждение. Во-первых, интеллект в психологии часто трактуют как способность индивида адаптироваться к новым ситуациям, а также использовать приобретенный опыт для творческого преобразования действительности [12, с. 136]. Следовательно, языковой интеллект проявляется в новых ситуациях общения в виде способности фиксировать знаковые единицы, относящиеся к определенной профессиональной сфере и объединять их в систему, т. е. создавать взаимосвязи первого типа. Например, для секретаря малого торгового предприятия профессиональные ситуации включают общение с разнообразными клиентами, использующими в своей речи наряду с единицами литературного языка разговорно-бытовые элементы, жаргонизмы, а порой ненормативную лексику, часть которой не интерпретируется принимающим сообщение, но оказывает на него энергетическое воздействие [11, с. 22]. Приспособление к такому языковому разнообразию осуществляется посредством фильтрации воспринимаемых субкодов до необходимого терминологического минимума, определяемого границами производственного процесса. Именно этот минимум и составляет языковой профессиональный интеллект. Иной уровень языкового профессионального интеллекта у пресс-секретаря правительства какого-либо государства. Такой специалист в возникающих профессиональных ситуациях использует единый профессиональный субкод, границы которого определены пересечением различных профессиональных сфер и видов деятельности. В процессе профессионального общения пресс-секретарь воспринимает каждое слово, оборот и фразу. Приспособление в этом случае осуществляется путем усвоения новых субкодов и интерпретации их в терминах основного субкода, что обеспечивает «успешное» субкодовое переключение в последующих ситуациях профессионального общения (подробно о субкодовом переключении см.: [10]).
Во-вторых, восприятие и последующая реализация особенностей речи, обусловленных требованиями профессиональной роли, в общем отражают взаимосвязи второго типа и могут быть проанализированы с использованием инструментария функциональной стилистики [5].
2. Значимой категорией при анализе профессионального самоопределения языковой личности является профессиональный текст -выраженная в речи взаимосвязанная совокупность общественно выработанных способов обращения с предметами труда и приемов профессиональной коммуникации, познавательная и эмоциональная ценность, а также интенсивность и широта использования которых обусловлены целями совместной профессиональной деятельности [7]. Профессиональные тексты являются речевым «овнешнением» культурно-профессионального опыта специалистов. Трудовая социализация личности разворачивается в процессах восприятия профессиональных текстов и их воспроизводства. При восприятии профессионального текста в сознании субъекта формируется образ его содержания (образ текста или интертекст), квинтэссенцией которого выступают представления об общественно выработанных способах взаимодействия с объектами профессионального труда и формах общения с партнерами по совместной деятельности. Опираясь на интертекст, субъект может воспринимать актуальные профессиональные речевые произведения, возникающие в его повседневной трудовой деятельности и профессиональном общении. Данное утверждение основывается на современных психолингвистических представлениях о том, что автор прецедентного текста в речевом продукте отражает только некоторые фрагменты своего сознания [13]. В свою очередь, реципиент, воспринимая только форму этого речевого сообщения, опирается на значения языковых знаков, хранящиеся в его памяти, и, ориентируясь на грамматические показатели языковых единиц, конструирует собственное содержание речевого сообщения. Следовательно, при восприятии профессионального текста у специалиста формируется собственное прецедентное содержание, которое и будет определять его профессиональный стиль деятельности и общения.
Воспроизводство профессиональных текстов может быть представлено следующим образом. Любое описание профессиональной деятельности всегда подразумевает трех участников: общественного (исходного) «автора профессии», специалиста, воспринимающего профессиональный текст, и потребителя продукта этой профессиональной деятельности, то есть профессиональные тексты представлены формулой «Автор - Реципиент - Потребитель». Если при восприятии субъектом художественного теста (будь то рассказ, эссе, стихи и пр.) конструируется «смысл для меня», то при перцепции профессионального текста проявляется «мой смысл для другого». Отметим, что необходимость передачи текста, описывающего продукт, либо сам этот продукт третьему лицу, требует от специалиста максимального сближения (идентичности) первичного и вторичного текстов в его сознании. Здесь, по аналогии с описанными М.М. Бахтиным отношениями автора, героя и читателя в художественном произведении [2, с. 3-10], можно предположить существование особых интеротношений, которые реализуются профессиональным текстом и характеризуются способностью обеспечивать взаимопереходы значения между автором, специалистом и потребителем. Вышесказанное позволяет нам утверждать, что профессиональные тексты являются одним из культурных инструментов трудовой социализации личности.
3. Характеризуя такую категорию, как стиль профессиональной речи, отметим, что установление интерсвязей обусловлено уровнем развития языковых навыков у носителя языка (языковым интеллектом). Адекватное восприятие работником профессионального текста достигается посредством таких языковых навыков, которые обеспечивают перцепцию функционального стиля. Коммуникант, вычленяя те или иные стилевые средства профессиональной сферы в процессе восприятия речевого произведения, устанавливает интерсвязи между прецедентным профессиональным текстом и актуальным профессиональным текстом.
Однако если механизм формирования стиля профессиональной речи понятен, то неопределенными остаются факторы, обусловливающие формирование взаимосвязи стилевого набора языковых средств и способов их употребления, с одной стороны, и способов обращения с предметами конкретной профессиональной деятельности, с другой стороны. Следовательно, важным аналитическим шагом становится поиск таких факторов.
Необходимо подчеркнуть, что решение поставленной задачи лежит в сфере экстралингвистики, поскольку все стилистические явления неотделимы от места, времени и самих участников общения. Это подтверждается и тем, что для большинства классификаций функциональных стилей основанием разделения выбираются экстралингвистические факторы. Так, В.В. Виноградов для определения понятия «функциональный стиль» использует такие внелингвистические категории, как «стилистическая норма», «стилистическая окраска», «стилевая черта» и др. [3]. М.Н. Кожина отмечает, что «поскольку функциональные стили образуются под воздействием экстралингвистических факторов, то целесообразно давать их определение и классификацию на этой основе» [5, с. 122].
В нашем исследовании онтологически мы опираемся на принципы деятельностно-го подхода, где концептуальной опорой служит соотношение «деятельность - сознание -личность» [6, с. 173-186]. С этой позиции язык предстает как действительное воплощение общественного сознания, а его формы соответствуют определенному виду деятельности и сфере общения со сложившимися принципами употребления языковых средств [5, с. 123]. Применительно к профессиональной деятельности и профессиональному общению можно сформулировать следующий тезис: каждая профессия характеризуется отдельным видом деятельности и соответствующими принципами употребления языковых средств, обусловленными определенной формой профессионального сознания, где принципы употребления языковых средств отражают способы организации речи, организации дискурса, что вполне соответствует теоретическим положениям функциональной стилистики. Исходя из этого, экстралингвистическим фактором установления взаимосвязей между стилевыми особенностями профессиональной речи и видами профессиональной деятельности выступают формы языкового и неязыкового профессионального сознания.
Выше мы отмечали, что содержанием профессионального сознания является «образ профессионального мира». Е.А. Климов утверждает, что человек выстраивает иерархию отношений с миром через осмысление предметов профессиональной действительности. Наряду с материальным физическим выражением, свойства предметов зафиксированы
в языке в виде специальных понятий. В процессе восприятия профессиональных понятий у субъекта формируются субъективные представления о предметах и способах обращения с ними, складывающиеся в целостный образ профессионального мира. В дальнейшем этот образ выступает регулятором профессиональной деятельности субъекта. Здесь мы соглашаемся с Е.А. Климовым, по мнению которого, образ мира (его внутренняя и внешняя составляющие) одного человека отличается от образа мира другого в зависимости от типа профессии, «выделяемого по признакам предметных систем, с которыми имеют дело люди как субъекты деятельности» [4, с. 171]. Следовательно, формы профессионального сознания можно рассматривать в соответствии с типами профессионалов, которые Е.А. Климов выделяет с учетом индивидуальных, групповых, типовых, общих особенностей сознания человека: «человек - природа», «человек - техника», «человек - человек», «человек - знаковая система» и «человек - художественный образ» [там же, с. 175-196] 1.
Итак, стилевые особенности профессиональной речи обусловлены формами профессионального сознания, которые соответствуют видам профессиональной деятельности.
4. Значимой для нашего исследования является и категория «образа автора» в профессиональном тексте. Впервые термин «образ автора» был введен В.В. Виноградовым в рамках разработанной им теории художественной речи [3]. В.В. Виноградов отмечал, что при изучении языка художественной литературы выделяются следующие ключевые проблемы: язык (стиль) художественного произведения и язык (стиль) писателя. Обе они обусловлены понятием индивидуальный стиль, которое представляет собой единую систему средств и форм словесного творческого выражения. Более глубокий языковедческий анализ дополняет эту дефиницию тем, что в стиле художественного произведения и образе его автора отражено «отношение писателя к литературному языку своей эпохи, к способам его понимания, преобразования и поэтического использования» [3, с. 126-127].
Такой подход позволяет представить стиль профессионального речевого произведения как особое профессионально-ролевое единство элементов стиля, принципов отбора и сочетаний форм профессиональной речи, обусловленных профессиональной деятельностью. При этом важным моментом является то, что профильный язык какого-либо специалиста находится в динамических отношениях не только с литературным и разговорно-бытовым языками, но и с другими профильными языками, которые формируют дискурс специалиста. В связи с этим изучение образа автора возможно лишь с учетом совокупности образов героев-профессионалов, представленных в профессиональном тексте, а также в тесной связи с принципами отбора и синтеза речевых средств в разных профессиональных ситуациях. Обоснуем это утверждение.
Усвоение будущим специалистом профессионально-знаковой и профессионально-предметной действительности является необходимым, но недостаточным условием для формирования целостного образа профессионального мира. Труд всегда носит коллективный характер. Освоив способы оперирования с предметами профессионального труда, человек непременно вступает в организационные отношения со своими коллегами. Только в совместной деятельности с другими специалистами он может достичь как собственных, так и общеорганизационных целей. При этом наряду с совместной деятельностью профессиональное общение специалиста осуществляется в условиях различных профессиональных языков -субкодов, т. е. коммуникативных подсистем более низкого функционального уровня и меньшего объема, нежели литературный язык («код»). В процессе общения разнопрофильных специалистов возникает необходимость сочетания различных профессиональных субкодов, в ходе которого вырабатываются особенности употребления языковых единиц, а также специфическая организация профессиональной речи. В.В. Виноградов отмечает, что одним из факторов, влияющих на своеобразие стиля, является характер отношений общелитературного языка и различных субкодов, используемых в художественном произведении: сочетание в основном речевом материале средств общелитературного языка и внелитературных форм - диалектов, жаргонов, разговорно-бытовой речи и т. п., определяется спецификой построения речевых образов персонажей из разной социальной и культурной среды [3, с. 128-129]. Мы считаем, что это верно и для профессиональных текстов.
Следовательно, образ автора, или образ «Я-профессионал», как особый профессиональный стиль формируется только при взаимодействии и общении специалиста с другими специалистами, т. е. в условиях совместной деятельности. Яркое подтверждение этому мы можем встретить в так называемых производственных романах: «Записки юного врача» М. Булгакова, «Отель», «Аэропорт» А. Хейли, «Вверх по лестнице, ведущей вниз» Б. Кауфман, «Театр» С. Моэма, «Белые одежды» В. Дудинцева и др. В этих художественных произведениях профессиональная жизнь героев раскрывается через их отношения с коллегами, пациентами, клиентами, посетителями, начальством, через «жизнь изнутри» одной организации, что формирует целостное представление о профессиональной деятельности и профессиональном общении специалистов. Здесь мы можем с уверенностью сказать о том, что описание особенностей деятельности и общения героя с учетом комплекса организационных отношений, его взаимодействия с другими специалистами и есть основной стилевой прием, используемый в профессиональных текстах. Данный стилевой прием обнаруживается и в других разновидностях профессиональных текстов. Например, в эффективном трудовом контракте подробно описываются функциональные обязанности будущего работника исходя из функциональной организационной структуры предприятия, которая имплицитно представлена различными видами профессиональной деятельности других профильных специалистов. Приведем в качестве примера фрагмент эффективного трудового контракта преподавателя высшей школы (в скобках нами указываются те специалисты, с которыми преподаватель вынужден взаимодействовать):
«2.2. Преподаватель обязан:
- добросовестно выполнять свои трудовые обязанности, предусмотренные должностной инструкцией и утвержденным индивидуальным планом работы;
- вести преподавательскую деятельность (со студентами), учебно-методическую (с методистом), организационно-методическую, научную (с научным работником) и воспитательную (с работником воспитательной системы) работу в соответствии с требованиями (федеральных) государственных образовательных стандартов высшего профессионального образования и утвержденным индивидуальным планом работы;
- своевременно и в полном объеме вести рабочую документацию в соответствии с номенклатурой дел (с делопроизводителем);
- своевременно предоставлять необходимую и точную информацию для ее размещения на официальном информационном ресурсе университета в сети Интернет в соответствии с локальными актами университета, регулярно обновлять свою персональную страницу на корпоративном портале университета, размещать на ней полные тексты всех рабочих программ преподаваемых учебных дисциплин и другую учебно-методическую документацию не позднее дня начала преподавания соответствующей дисциплины (с системным администратором, информационным технологом);
- разрабатывать и подготавливать к публикации в рамках выполнения утвержденного индивидуального плана работы (печатные или электронные) учебные издания (учебники, учебные пособия, рабочие тетради, практикумы, хрестоматии и др.) по преподаваемым дисциплинам, по которым отсутствуют учебники, рекомендованные или допущенные уполномоченными органами к использованию в образовательных учреждениях (с редактором, корректором)».
Каждый из специалистов организации общается на своем профессиональном субкоде. Продолжительная работа на одном месте способствует закреплению профессионального стиля специалиста, однако он отчетливо проявляется при смене организации или учреждения. В этом случае профессионал пытается попасть в такое организационное окружение, которое по своей конфигурации соответствовало бы его профессиональному стилю. Стремление специалиста к воспроизводству своего профессионального стиля закреплено и в общественном языковом сознании. Например, приход нового начальника в общении рядовых сотрудников характеризуется пословицей Новая метла по-новому метет.
Вышесказанное позволяет утверждать, что «образ автора» или образ «Я-профессионал» формируется при восприятии профессионального текста, а именно представленной в
нем системы функциональных отношений с предметами труда, различными типами профессиональной деятельности и их субъектами, что в совокупности создает стилевое своеобразие профессионально-речевых средств. Формирование образа «Я-профессионал» знаменует переход функционального стиля определенной профессиональной сферы общения в разряд личностного смысла будущего субъекта соответствующей профессиональной деятельности, что является заключительным результатом процесса профессионального самоопределения языковой личности.
На основе результатов проведенного исследования сформулируем следующие выводы:
- в современных социально-экономических условиях актуальным становится изучение психолингвистических аспектов профессионального самоопределения языковой личности;
- профессиональная ориентация языковой личности осуществляется при наличии двух типов взаимосвязей: с системой языка как совокупностью знаковых единиц, относящихся к определенной профессиональной сфере общения; с особенностями речи, обусловленными конкретной профессиональной деятельностью и профессиональным общением;
- психолингвистическая модель профессионального самоопределения языковой личности включает лингвосемиотический, стилистический и интериоризационный этапы;
- результатом профессионального самоопределения языковой личности служит образ «Я-профессионал», который формируется при восприятии профессионального текста.
Стилевое своеобразие профессионально-речевых средств специалиста создается в процессе реализации системы функциональных отношений с предметами труда, осуществления профессиональной деятельности различных типов и взаимодейсвтия с ее субъектами.
ПРИМЕЧАНИЕ
1 Мы сознательно отклоняемся от семантического анализа языковых единиц «образа профессионального мира» или «профессиональной картины мира», поскольку в данной статье их дефиниции имеют методологический характер, что, как правило, исключает использование иллюстративных примеров, т. к. истинность (или ложность) утверждений проверяется логическим путем с опорой на теоретические рассуждения.
СПИСОК ЛИТЕРАТУРЫ
1. Андреева, Г. М. Социальная психология / Г. М. Андреева. - М. : Аспект Пресс, 2001. - 376 с.
2. Бахтин, М. М. Эстетика словесного творчества / М. М. Бахтин. - М. : Искусство, 1986. - 445 с.
3. Виноградов, В. В. О теории художественной речи / В. В. Виноградов. - 2-е изд., испр. - М. : Высш. шк., 2005. - 87 с.
4. Климов, Е. А. Психология профессионального самоопределения / Е. А. Климов. - М. : Академия, 2004. - 304 с.
5. Кожина, М. Н. Стилистика русского языка / М. Н. Кожина, Л. Р. Дускаева, В. А. Салимовс-кий. - 4-е изд., стер. - М. : ФЛИНТА : Наука, 2014. -464 с.
6. Леонтьев, А. Н. Избранные психологические труды. В 2 т. Т. 1 / А. Н. Леонтьев. - М. : Периодика, 1983. - 452 с.
7. Мыскин, С. В. Особенности восприятия профессиональных прецедентных текстов разнопрофильными специалистами / С. В. Мыскин // Язык и культура : сб. материалов XI Между-нар. науч.-практ. конф. / под общ. ред. С. С. Чернова. - Новосибирск : Изд-во ЦРНС, 2014. -С. 115-120.
8. Мыскин, С. В. Профессиональное самоопределение языковой личности / С. В. Мыскин // Вопросы психолингвистики. - 2013. - № 18. -С. 66-77.
9. Мыскин, С. В. Профессиональное сознание: языковое и неязыковое / С. В. Мыскин // Филологические науки. Вопросы теории и практики. -2013. - № 12 (30), ч. II. - С. 135-140.
10. Мыскин, С. В. Психолингвистические аспекты профессионального общения / С. В. Мыс-кин // Вестник Волгоградского государственного университета. Серия 2, Языкознание. - 2013. -№2(18). - С. 199-206.
11. Пиотровский, Р. Г. Инженерная лингвистика и теория языка / Р. Г. Пиотровский. - Л. : Наука. Ленингр. отд-ние, 1979. - 112 с.
12. Психологический словарь / под ред. В. В. Давыдова [и др.]. - М. : Педагогика, 1983. - 448 с.
13. Тарасов, Е. Ф. Проблемы теории речевого общения : автореф. дис. ... д-ра филол. наук в форме науч. докл. / Тарасов Евгений Федорович. - М., 1992. - 55 с.
REFERENCES
1. Andreeva G.M. Sotsialnaya psikhologiya [Social Psychology]. Moscow, Aspekt Press Publ., 2001. 376 p.
2. Bakhtin M.M. Estetika slovesnogo tvorchestva [The Aesthetics of Verbal Creativity]. Moscow, Iskusstvo Publ., 1986. 445 p.
3. Vinogradov V.V. O teorii khudozhestvennoy rechi [On the Theory of Literary Speech]. 2nd ed., rev. Moscow, Vysshaya shkola Publ., 2005. 287 p.
4. Klimov E.A. Psikhologiya professionalnogo samoopredeleniya [Psychology of Professional Self-Determination]. Moscow, Akademiya Publ., 2004. 304 p.
5. Kozhina M.N., Duskaeva L.R., Salimovskiy V.A. Stilistika russkogo yazyka [Stylistics of the Russian Language]. 4th ed., ster. Moscow, FLINTA Publ., Nauka Publ., 2014. 464 p.
6. Leontyev A.N. Izbrannye psikhologicheskie trudy. V 21. T. 1 [Selected Psychological Works. In 2 vols. Vol. 1]. Moscow, Periodika Publ., 1983. 452 p.
7. Myskin S.V. Osobennosti vospriyatiya professionalnykh pretsedentnykh tekstov raznoprofilnymi spetsialistami [Features of the Professional Perception of Precedent Texts of Various Specialists]. Chernov S.S., ed. Yazykikultura. Sbornik materialov XI Mezhdunarodnoy nauchno-prakticheskoy konferentsii [Language and culture. Collected Works of 11th International Science and Practice Conference]. Novosibirsk, Izd-vo TsRNS, 2014, pp. 115-120.
8. Myskin S.V. Professionalnoe samoopre-delenie yazykovoy lichnosti [Professional Self-Determination of Linguistic Identity]. Voprosy psikholingvistiki, 2013, no. 18, pp. 66-77.
9. Myskin S.V. Professionalnoe soznanie: yazykovoe i neyazykovoe [Professional Consciousness: Linguistic and Non-Linguistic]. Filologicheskie nauki. Voprosy teorii ipraktiki, 2013, no. 12 (30), part II, pp. 135-140.
10. Myskin S.V. Psikholingvisticheskie aspekty professionalnogo obshcheniya [Psycholinguistic Aspects of Professional Communication]. Vestnik volgogradskogo gosudarstvennogo universiteta. Seriya 2, Yazykoznanie [Science Journal of Volgograd State University. Linguistics], 2013, no. 2 (18), pp. 199-206.
11. Piotrovskiy R.G. Inzhenernaya lingvistika i teoriya yazyka [Engineering Linguistics and Language Theory]. Leningrad, Nauka Publ., 1979. 112 p.
12. Davydov V.V., Zaporozhets A.V, Lomov B.F., et al., eds. Psikhologicheskiy slovar [Psychological Dictionary]. Moscow, Pedagogika Publ., 1983. 448 p.
13. Tarasov E.F. Problemy teorii rechevogo obshcheniya. Avtoref. dis. ... d-ra filol. nauk v forme nauchnogo doklada [Problems of the Theory of Verbal Communication. Dr. philol. sci. abs. diss. in the form of scientific paper]. Moscow, 1992. 55 p.
PSYCHOLINGUISTIC MODEL OF PROFESSIONAL SELF-DETERMINATION OF IDENTITY
Myskin Sergey Vladimirovich
Candidate of Psychological Sciences, Associate Professor, Advisor to the Rector, Moscow Academy of Labor Market and Information Technologies myskinsv@yandex. ru
Molodogvardeyskaya St., 46, 121351 Moscow, Russian Federation
Abstract. The article reveals psycholinguistic aspects of professional socialization of identity in the modern market conditions. The relevance of this study is determined by the growth of professional speech works, regulatory and guide professional activities and professional communication of the modern expert.
Professional self-determination of linguistic identity is characterized as a result of the orientation of a person in the world of labour represented by professional texts. From the psycholinguistic viewpoint, the orientation of linguistic identity is based on language and speech types of relationships between a specialist and the environment.
In order to develop a more comprehensive picture of psycholinguistic aspects of language socialization of the personality in the labour world the article described the psycholinguistic model of professional self-determination of linguistic identity, including linguistic, stylistic and interiorization stages that reveal patterns of perception and reproduction of professional texts by a person.
The author characterizes the categories which create the mentioned model. Professional self-determination of linguistic identity is revealed through the image of professional world, generated in the process of professional texts perception. Professional texts are characterized as totality of social developed ways of handling items of work and techniques of professional communication expressed in speech. The style of professional speech work is expressed by means of stylistic elements unity, selection principles and combination of professional speech forms. "The image of the author" in professional texts is revealed in its connection with the characters-professionals, relevant speech tools and techniques in different situations.
Key words: professional self-determination of personality, psycholinguistic model, professional text, linguistic personality, image of professional world, professional speech style.
1. ПСИХОЛОГИЧЕСКИЕ УСЛОВИЯ РАЗВИТИЯ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ ПРЕПОДАВАТЕЛЯ-ЛИНГВИСТА
[[Плехов А.Н.]]
диссертация на соискание ученой степени кандидата психологических наук / Нижегородский государственный педагогический университет. Нижний Новгород, 2007
2. ФОРМИРОВАНИЕ ЭФФЕКТИВНОГО ПСИХОТЕРАПЕВТА КАК РАЗВИТОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ
[[Варфоломеева О.В.]]
диссертация на соискание ученой степени кандидата психологических наук / Симферополь, 1998
*[ext[ссылка|https://psyjournals.ru/psyedu/]]
В журналах издательства ФГБОУ ВО МГППУ плата за предпечатную подготовку и публикацию не взимается. Все публикации находятся в свободном доступе.
Портал психологических изданий PsyJournals.ru — https://psyjournals.ru/info/homestyle_guide/index.shtml [Правила подготовки, рецензирования и опубликования рукописей в научных журналах ФГБОУ ВО МГППУ - PsyJournals.ru]
[ext[ссылка|https://www.nbpublish.com/ptmag/]]
Наши журналы не требуют оплаты за подачу статьи. Однако взимается плата за обработку статьи (article processing charge – APC) в целях поддержки издания журналов в открытом доступе. Плата за обработку статьи взимается только в случае, если по итогам рецензирования статья будет принята к публикации. Такая политика позволяет сделать весь журнальный контент свободно доступным на либеральных условиях дальнейшего использования. Хотя авторам приходится самостоятельно оплачивать обработку статей, они могут получить финансовую поддержку от различных учреждений и спонсоров (фондов), которые покрывают такого рода расходы различными способами.
Информация о стоимости услуг за обработку статей для наших журналов открытого доступа может быть найдена [ext[здесь|https://nbpublish.com/oferta_prices.php]].
Обычная 2900 р в порядке очереди
[ext[ссылка|http://elsu.ru/journal]]
Авторы оплачивают издательские расходы (оформленная по правилам статья, основной текст которой имеет объем до 20 000 знаков (с пробелами) (0,5 п.л) – 5 000 руб.; при превышении объема стоимость увеличивается на 250 руб. за каждую дополнительную 1 000 знаков (с пробелами) основного текста), и рассылку журнала (стоимость пересылки по России – 150 рублей за один адрес, за границу – 350 рублей). В стоимость входит один авторский экземпляр на одну опубликованную статью. Автор(ы) могут приобрести дополнительные авторские экземпляры по цене 300 рублей за 1 экземпляр.
[ext[ссылка|http://ppsjournal.rsu.edu.ru/]]
Стоимость одной страницы статьи (1,5 инт.) составляет 500 рублей. [ext[ссылка|http://ppsjournal.rsu.edu.ru/avtoram/]]
[[Птицына И.Ф.]]
Птицына И.Ф. [[Педагогические условия формирования межкультурной компетенции вторичной языковой личности студентов (на материале изучения японского языка и культуры)]]
[[pif_ar 1]]
ПЕДАГОГИЧЕСКИЕ УСЛОВИЯ ФОРМИРОВАНИЯ МЕЖКУЛЬТУРНОЙ КОМПЕТЕНЦИИ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТОВ (НА МАТЕРИАЛЕ ИЗУЧЕНИЯ ЯПОНСКОГО ЯЗЫКА И КУЛЬТУРЫ) Птицына И.Ф. диссертация на соискание ученой степени кандидата педагогических наук / Якутский государственный университет им. М.К. Аммосова. Якутск, 2008 13.00.01
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=823415]]*[ext[ссылка 2|https://new-disser.ru/_avtoreferats/01004122281.pdf]]
Объект исследования - процесс формирования межкультурной компетенции.
Предмет исследования - педагогическое обеспечение формирования межкультурной компетенции вторичной языковой личности студентов.
Цель исследования - определить, теоретически обосновать и экспериментально проверить педагогические условия, обеспечивающие формирование межкультурной компетенции вторичной языковой личности студентов на материале японского как второго иностранного языка.
[[pif_ar_s4_5-6]]
Научная новизна исследования: * [[pif_ar_s6_5_1]]
- уточнено понятие «межкультурная компетенция вторичной языковой личности студентов» как способность воспринимать, понимать и интерпретировать феномены иной культуры, умение сравнивать их с феноменами собственной культуры, встраивать их в свою картину мира; * pif_ar_s6_5_2
- конкретизирована структура межкультурной компетенции вторичной языковой личности студентов, включающая прагматический, когнитивный, эмоциональный и поведенческий компоненты и определены уровни её сформированности (низкий, недостаточный, оптимальный и высокий); * pif_ar_s6_5_3
- определены, теоретически обоснованы и проверены на практике педагогические условия, способствующие формированию межкультурной компетенции вторичной языковой личности студентов (на материале изучения японского языка и культуры): реализация личностно-деятельностного подхода к организации воспитательно-образовательного процесса на основе учёта индивидуально-психологических особенностей и сферы личностных интересов обучаемых; активизация осознания различий между культурами на основе контрастивно-компаративного лингвокультуроведческого анализа с опорой на аутентичный материал с этнокультурным компонентом; обеспечение познавательной, проектно-исследовательской и практической деятельности студентов путём усиления воспитательной и внеаудиторной работы в неязыковом вузе. * pif_ar_s6_5_4
Теоретическая значимость исследования заключается в разработке теоретической модели формирования межкультурной компетенции вторичной языковой личности, состоящей из целевого (цели, принципы, задачи), содержа- * pif_ar_s6_6
тельного (функции, содержание деятельности, учебные материал и действия), организационно-практического (этапы, условия), критериально-уровневого компонентов (критерии - знания, навыки, умения; уровни - высокий, оптимальный, недостаточный, низкий). * pif_ar_s7_1
Пугачев Иван Алексеевич
[ext[ссылка|D:\BI\dis_pugachev_ia.pdf]]
[[Термины]]
| [[Ра]] | [[Ре]] | [[Ро]] | [[Ру]] |
[ext[ссылка|https://rusneb.ru/catalog/000199_000009_007941478/]]
[ext[ссылка автореферат|https://vak.minobrnauki.gov.ru/az/server/php/filer_new.php?table=att_case&fld=autoref&key[]=131436&version=100]]
[ext[ссылка НЭБ|https://viewer.rusneb.ru/ru/000199_000009_007941478?page=1&rotate=0&theme=white]]
[[Лысенко]] Н.Е. Развитие языковой личности при обучении русскому и иностранному языкам в неязыковом вузе
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=834555]]
[ext[ссылка автореферат|https://new-disser.ru/_avtoreferats/01002975870.pdf]]
*{{lne_ar_s3}}* [[lne_ar_s3]]
*{{lne_ar_s4_1}}* [[lne_ar_s4_1]]
*{{lne_ar_s4_2}}* [[lne_ar_s4_2]]
*{{lne_ar_s4_3}}* [[lne_ar_s4_3]]
*{{lne_ar_s5_1}}* [[lne_ar_s5_1]]
*{{lne_ar_s5_2}}* [[lne_ar_s5_2]]
*{{lne_ar_s5_3}}* [[lne_ar_s5_3]]
*{{lne_ar_s5_4}}* [[lne_ar_s5_4]]
* {{lne_ar_s6_1}}* [[lne_ar_s6_1]]
* {{lne_ar_s6_2}}* [[lne_ar_s6_2]]
* {{lne_ar_s6_3}}* [[lne_ar_s6_3]]
* {{lne_ar_s6_4}}* [[lne_ar_s6_4]]
* {{lne_ar_s7_1}}* [[lne_ar_s7_1]]
* {{lne_ar_s7_2}}* [[lne_ar_s7_2]]
* {{lne_ar_s7_3}}* [[lne_ar_s7_3]]
* {{lne_ar_s8_6}}* [[lne_ar_s8_6]]
* {{lne_ar_s9_1}}* [[lne_ar_s9_1]]
* {{lne_ar_s9_2}}* [[lne_ar_s9_2]]
* {{lne_ar_s9_6}}* [[lne_ar_s9_6]]
* {{lne_ar_s11_4}}* [[lne_ar_s11_4]]
* {{lne_ar_s11_5}}* [[lne_ar_s11_5]]
* {{lne_ar_s12_1}}* [[lne_ar_s12_1]] продолжение
* {{lne_ar_s12_3}}* [[lne_ar_s12_3]]
* {{lne_ar_s15_3}}* [[lne_ar_s15_3]]
* {{lne_ar_s15_4}}* [[lne_ar_s15_4]]
* {{lne_ar_s15_5}}* [[lne_ar_s15_5]]
* {{lne_ar_s16_1}}* [[lne_ar_s16_1]]
* {{lne_ar_s16_2}}* [[lne_ar_s16_2]]
* {{lne_ar_s16_3}}* [[lne_ar_s16_3]]
* {{lne_ar_s16_4}}* [[lne_ar_s16_4]]
* {{lne_ar_s16_5}}* [[lne_ar_s16_5]]
* {{lne_ar_s17_1}}* [[lne_ar_s17_1]]
* {{lne_ar_s17_2}}* [[lne_ar_s17_2]]
* {{lne_ar_s17_3}}* [[lne_ar_s17_3]]
* {{lne_ar_s17_4}}* [[lne_ar_s17_4]]
* {{lne_ar_s18_1}}* [[lne_ar_s18_1]] продолжение
[[Дерябина Н.А.]] Развитие языковой личности студентов в процессе изучения иностранного языка
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=1017441]]
[ext[ссылка pdf|https://new-disser.ru/_avtoreferats/01006613917.pdf]]
[ext[ссылка ар doc|http://science.uspu.ru/i/inst/diser/dis_d05_72a.doc]]
[ext[ссылка аннотация|http://science.uspu.ru/i/inst/diser/dis_d05_72.doc]]
*{{derna_ar_s3_1}}*[[derna_ar_s3_1]]
*{{derna_ar_s3_2}}*[[derna_ar_s3_2]]
*{{derna_ar_s3_3}}*[[derna_ar_s3_3]]
*{{derna_ar_s3_4}}*[[derna_ar_s3_4]]
*{{derna_ar_s4_3}}*[[derna_ar_s4_3]]
*{{derna_ar_s5_3}}*[[derna_ar_s5_3]]
*{{derna_ar_s5_4}}*[[derna_ar_s5_4]]
*{{derna_ar_s5_5}}*[[derna_ar_s5_5]]
*{{derna_ar_s5_6}}*[[derna_ar_s5_6]]
*{{derna_ar_s7_3}}*[[derna_ar_s7_3]]
*{{derna_ar_s8}}*[[derna_ar_s8]]
*{{derna_ar_s9_1}}*[[derna_ar_s9_1]]
*{{derna_ar_s9_4}}*[[derna_ar_s9_4]]
*{{derna_ar_s10_1_1}}*[[derna_ar_s10_1_1]]
*{{derna_ar_s10_1_2}}*[[derna_ar_s10_1_2]]
*{{derna_ar_s10_1_3}}*[[derna_ar_s10_1_3]]
*{{derna_ar_s10_1_4}}*[[derna_ar_s10_1_4]]
*{{derna_ar_s11_3}}*[[derna_ar_s11_3]]
[ext[ссылка|https://docviewer.yandex.ru/view/0/?page=73&*=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%3D&lang=ru]]
В процессе поиска, анализа и выбора темы диссертации, ее
обсуждения и уточнения желательно соблюдать следующие рекомендации.
1 Тема должна отражать продвижение вперед в сравнении с
ранее выполненными диссертационными работами, опубли-
71
кованными результатами научных исследований по данной
проблематике.
2 Формулировка темы призвана отражать ее содержательность,
тому, кто прочел название темы, должно быть ясно, что ей
присущи содержательное начало, наполненность, наличие
проблемности и направленности, целевой ориентации.
3 В краткой формулировке темы необходимо достичь максимально высокого уровня предметности и конкретности, очевидной, несмотря на немногословность названия.
4 Названию темы следует придать «модность», современность,
с тем чтобы от него не веяло архаизмами, уже пройденными
в науке рубежами, отвергнутыми или отодвинутыми на задний план понятиями и представлениями.
[[Ракитина Е.А.]]
[ext[ссылка НЭБ|https://viewer.rusneb.ru/ru/000199_000009_000178280?page=1&rotate=0&theme=white]]
[ext[ссылка в Dis6|file:///E:/Dis/Dis6]]
РД - речевая деятельность
[[Мордас]]
[ext[ссылка|registr.html]]
! Результаты и их обсуждение
[[клон|Результаты и их обсуждение СтатьяПедагогикаРУДН2020_07_08 1]]
* [[Таблица 1|Таблица 1 СтатьяПедагогикаРУДН2020_07_08]]
* [[Таблица 2|Таблица 2 СтатьяПедагогикаРУДН2020_07_08]]
* [[Таблица 3|Таблица 3 СтатьяПедагогикаРУДН2020_07_08]]
* [[Таблица 4|Таблица 4 СтатьяПедагогикаРУДН2020_07_08]]
* [[Таблица 5|Таблица 5 СтатьяПедагогикаРУДН2020_07_08]]
* [[Таблица 6|Таблица 6 СтатьяПедагогикаРУДН2020_07_08]]
* [[Таблица 7|Таблица 7 СтатьяПедагогикаРУДН2020_07_08]]
* [[Таблица 8|Таблица 8 СтатьяПедагогикаРУДН2020_07_08]]
* [[Таблица 9|Таблица 9 СтатьяПедагогикаРУДН2020_07_08]]
* [[Таблица 10|Таблица 10 СтатьяПедагогикаРУДН2020_07_08]]
* [[Таблица 11|Таблица 11 СтатьяПедагогикаРУДН2020_07_08]]
* [[Таблица 12|Таблица 12 СтатьяПедагогикаРУДН2020_07_08]]
* [[Таблица 13|Таблица 13 СтатьяПедагогикаРУДН2020_07_08]]
* [[Таблица 14|Таблица 14 СтатьяПедагогикаРУДН2020_07_08]]
* [[Таблица 15|Таблица 15 СтатьяПедагогикаРУДН2020_07_08]]
* [[Таблица 16|Таблица 16 СтатьяПедагогикаРУДН2020_07_08]]
* [[Таблица 17|Таблица 17 СтатьяПедагогикаРУДН2020_07_08]]
! Результаты и их обсуждение клон
[[основа|Результаты и их обсуждение СтатьяПедагогикаРУДН2020_07_08]]
Результаты обработки данных по кластерам приведены в таблицах 1 и 2 [[*|Результаты и их обсуждение СтатьяПедагогикаРУДН2020_07_08 до табл 1 и 2]]
{{Таблица 1 СтатьяПедагогикаРУДН2020_07_08}}
Кластеры «личность студента», «личность курсанта», «личность обучающегося» можно объединить в один кластер «личность студента» так, как мы рассматриваем предметную область «Высшее профессиональное образование». Аналогично мы можем объединить кластеры «личность педагога», «личность учителя» и «личности преподавателя» в один кластер «личность преподавателя». Остальные кластеры дают 13.5% вхождений и могут быть исключены из рассмотрения. [[*|Результаты и их обсуждение СтатьяПедагогикаРУДН2020_07_08 после табл 1]]
{{Таблица 2 СтатьяПедагогикаРУДН2020_07_08}}
Анализируя кластеры в таблице мы можем отметить что наибольшее число вхождений имеет кластер «развитие личности». Частота вхождения кластера культура личности обусловлена тем, что довольно много статей связано с трехмерным кластером физическая культура личности, поэтому его можно исключить из рассмотрения. Собственно культура личности в плане например «информационная культура личности» и подобные составляют 18 вхождений. Представляет интерес большое количество вхождений кластера «языковая личность». [[*|Результаты и их обсуждение СтатьяПедагогикаРУДН2020_07_08 после табл 2]]
Дополнительным инструментом позволяющим провести оценку концептосферы является выявление коллокаций
Определение с помощью программы AntConc коллокаций с ключевым концептом (словом) ЛИЧНОСТЬ позволило выявить 1570
коллокантов. Для дальнейшего анализа были отобраны коллоканты соответствующие кластерам приведенным в таблицах 1 и 2. Данные
коллоканты приведены в таблицах 3-8 [[*|Результаты и их обсуждение СтатьяПедагогикаРУДН2020_07_08 до табл 3]]
{{Таблица 3 СтатьяПедагогикаРУДН2020_07_08}}
{{Таблица4 СтатьяПедагогикаРУДН2020_07_08}}
{{Таблица 5 СтатьяПедагогикаРУДН2020_07_08}}
{{Таблица 6 СтатьяПедагогикаРУДН2020_07_08}}
{{Таблица 7 СтатьяПедагогикаРУДН2020_07_08}}
{{Таблица 8 СтатьяПедагогикаРУДН2020_07_08}}
В данных таблицах отображены данные по коллокациям соответствующим кластерам с высокой частотой вхождений. Однако для нашего анализа могут представлять интерес и кластеры с небольшим числом вхождений. [[*|Результаты и их обсуждение СтатьяПедагогикаРУДН2020_07_08 после табл 8]]
В частности кластеры отражающие вопросы саморазвития, самоорганизцации (то есть относящиеся к области «самости» личности). В таблице 9 приведены данные по соответствующим коллокантам. [[*|Результаты и их обсуждение СтатьяПедагогикаРУДН2020_07_08 до табл 9]]
{{Таблица 9 СтатьяПедагогикаРУДН2020_07_08}}
Анализа информационных источников (словарей, энциклопедических изданий и диссертационных исследований) показывает что кластеры в таблице 2 имеют соответствующие дефиниции в информационных источниках то есть являются по сути концептами. Сложнее обстоят дела с кластерами таблицы 1. Из них только кластер личность студента имеет словарную дефиницию. Однако анализ диссертационных исследований показывает что и остальные кластеры можно отнести к наименованиям соответствующих концептов. [[*|Результаты и их обсуждение СтатьяПедагогикаРУДН2020_07_08 после табл 9]]
В таблице 10 приведены данные отражающие изменение количества публикаций по тематике «развитие личности». [[*|Результаты и их обсуждение СтатьяПедагогикаРУДН2020_07_08 до табл 10]]
В таблице 10 приведены данные по тематике «развитие личности»
{{Таблица 10 СтатьяПедагогикаРУДН2020_07_08}}
В таблице 11 приведены аналогичные данные по тематике «творческая личность»
{{Таблица 11 СтатьяПедагогикаРУДН2020_07_08}}
В таблице 12 данные, по тематике «личность студента»
{{Таблица 12 СтатьяПедагогикаРУДН2020_07_08}}
{{Таблица 13 СтатьяПедагогикаРУДН2020_07_08}}
{{Таблица 14 СтатьяПедагогикаРУДН2020_07_08}}
{{Таблица 15 СтатьяПедагогикаРУДН2020_07_08}}
{{Таблица 16 СтатьяПедагогикаРУДН2020_07_08}}
{{Таблица 17 СтатьяПедагогикаРУДН2020_07_08}}
Результаты исследования [[*|Результаты и их обсуждение СтатьяПедагогикаРУДН2020_07_08 после табл 16 и 17]]
[img[lslp.png]]
[img[rl.png]]
[img[ssl.png]]
[img[tya.png]]
До этого
На первом В качестве предметной области (области знания) были выбраны рубрики ГРНТИ «Высшее профессиональное образование. Педагогика высшей профессиональной школы» и «Образование взрослых. Повышение квалификации. Самообразование».
Поиск проводился по ключевому концепту «личность», в поисковой форме были заданы критерии поиска: область поиска -названия статей и книг, тип публикаций - статьи в журналах и книги. В результате запросы был получен список тем публикаций. Перечень тем (Лингвиистический корпус включал 1201 наименований. Эти так называемые «сырые» данные были подвергнуты дополнительной обработке. Была проведена проверка данных на соответствие запросу и удалены темы, не соответствующие заданным параметрам. Например удалены темы связанные со школьным образованием, которые, по всей попали. Полученный список после такой обработки включал 645 тем. Данный список был оформлен в виде текстового файла (расширение txt) в кодировке utf-8.
по кластерам стандартным, фиксированным, линейно организованным языковым блокам, воспроизводимым в речи в готовом виде. (Горина Ольга Григорьевна диссерт). лексические пучки выделяются на основании частотности и требуют дальнейшего осмысления их функции, (там же).
[ext[ссылка 1|http://nauka-pedagogika.com/pedagogika-13-00-01/dissertaciya-retrospektivnyy-analiz-kak-metod-prognosticheskih-issledovaniy-v-pedagogike]] [ext[ссылка 2|https://viewer.rusneb.ru/ru/000199_000009_000335929?page=1&rotate=0&theme=white]]
<center>
Волгоградский ордена "Знак почета" государственный педагогический институт им. А.С.Серафимовича
На правах рукописи
ПИМЧЕВ Сергей Петрович
РЕТРОСПЕКТИВНЫЙ АНАЛИЗ КАК МЕТОД
ПРОГНОСТИЧЕСКИХ ИССЛЕДОВАНИИ В ПЕДАГОГИКЕ
13.00.01 - теория и история педагогики
АВТОРЕФЕРАТ
диссертации на соискание ученой степени кандидата педагогических наук
Волгоград 1992
</center>
Работа выполнена в Научно-исследовательском институте теории и истории педагогики
Научный руководитель - действительный член Российский академии образования, доктор педагогических наук, профессор .
Официальные оппоненты - доктор педагогических наук, профессор Е.Г.Осовский
кандидат педагогических паук П.К.Сергеев
Ведущее учреждение - Владимирский государственный педагогический институт
Защита состоится 1992г. в часов
на заседании специализированного совета (К 113.02.01) по присуждению ученой степени кандидата педагогических наук при Волгоградском педагогическом институте по адресу:400013, Волгоград, пр. им. Ленина, 27.
С диссертацией можно ознакомиться в библиотеке института
Автореферат разослан 1992.
Ученый секретарь специализированного
совета, кандидат педагогических наук Ф.К.Санина
<center> I. ОБЩАЯ ХАРАКТЕРИСТИКА РАБОТЫ</center>
Актуальность проблемы. Высшим уровнем развития педагогической науки (как и любой другой) является ее способность к предвидению, возникающая на основе зрелости всей системы основных функций научного знания (рефлексивной, описательной, диагностической, объяснительной, нормативной, предсказательной) при системообразующем значении предсказательной (прогностической) функции. Системный подход в прогнозировании предполагает необходимость изучения истории объекта, явления. Поэтому общеметодологический принцип историзма выступает одним из принципов прогнозирования, в том числе педагогического (Б.С. Гершунский), подчеркивая необходимость выявления и учета линии преемственности в развитии учебно- воспитательных систем, опыта их целостного осмысления (в т.ч. реальной практики существования).
Историческое и логическое единство прошлого,настоящего и будущего - общепризнанный научный факт,поэтому ученые-историки (включая историков педагогики) в числе важнейших функций своей науки называют прогностическую функцию (Б.И.Могильницкий, Э.Н.Равкин и др.).
На основе изучения литературы по социальному и педагогическому прогнозированию, методологий исторической и историко- педагогической науки определено, что одной из сложнейших и недостаточно разработанных проблем педагогической прогностики (и прогнозирования вообще) является изучение возможности, характера и форм учета в прогнозировании развития прогнозируемого объекта, явления в прошлом, их истории. Выявлена недостаточная разработанность метода ретроспективного анализа, призванного решать эту проблему в прогностических исследованиях. Это сказывается в невостребованности исторического анализа, его выводов в конкретных прогнозных и программных документах, определяющих социально - управленческую деятельность. Так, например, установки российской программы развития образования^^1^^ исходят исключительно из анализа фактов и тенденций,доминирующих в текущий момент. Приоритетное внимание прогнозному фону заслоняет положение, согласно которому прогнозируемый объект,явление имеют собственную логику развития, присущие им закономерности, проявляющиеся в устойчивых тенденциях. Невозможность опереться на сложившиеся тенденции объясняется тем, что в переходный период мно-
---
1. Российское образование в переходный период: программа стабилизации и развития (Проект доклада правительству РСФСР) /Отв. ред. Э.Л.Лиепров, П.С.Лазарев, В.С.Собкин,- М,1Я31.
-2-
гие тенденции прекращают действие и их пролонгирование дать ничего не может. Но именно в такие периоды, не говоря уже о стабильных, качественно единообразных, исторический опыт, знание на его основе логики развития может подсказать необходимые ориентиры. В свою очередь, исторический опыт не может идентифицироваться только с трендовой экстраполяцией, а понимание тенденций и закономерностей - с прямолинейностью.
Разработка проблемы осуществляется в контексте доминирующих общенаучных тенденций - с опорой на них и их развитием. Прежде всего, речь идет о том, что,во-первых, прогнозирование является одним из важнейших оснований в преодолении издержек современного научного разделения труда в целостном объяснении действительности (Е.Д. Гражданников), крайностей секулярного, дискретно-логического мышления, сциентизма вообще, свойственных классической науке , для перемены научной парадигмы в XXI в. на основе создания рационально-образной картины мира (В.С. Библер, А.В. Гулыга, Б.В. Раушенбах), во-вторых, введение проблемы ценностей как регуляторов научного мышления, изменение отношения к интуитивному и иррациональному способам освоения бытия ( Д.И. Менделеев, В.К.Вернадский, П.Флоренский, Ю.А. Шрейдер).
Социальная и этическая природа педагогических явлений — благоприятное условие для учета указанных обстоятельств в педагогических исследованиях ("человеческое измерение" приобретают даже естественные науки). Педагогика как наука,изучающая процессы передачи социального и духовно-нравственного опыта от человека к человеку, от поколения к поколении,самой постановкой задач исследований отвечает практическим потребностям общества (необходимость изменения отрицательных условий для всестороннего полноценного воспроизводства и развития сущности человека как первопричины глобальных проблем современности). Процесс собственного развития педагогики в целях системного, целостного восприятия объекта исследования о его непрерывном движении делает актуальной ее внутрипредметную и межнаучную интеграцию, прежде всего по оси "педагогическая прогностика - история педагогики". Междисциплинарную же сущность предмета педагогики как науки о воспитании более ста лет назад подчеркнул К.Д. Ушинский.
Такой подход к объекту педагогического прогнозирования имеет обоснование и с точки зрения предмета новой философии образования, который в общей форме/может быть сведен к выявлению причин и поиску путей преодоления неэффективности (а порой пагубности) современного образования в процессах социализации личности, т.е.
-3-
его кризиса.
Процесс разработки научного метода ориентируется "не на науку вообще, а на ее реальные, конкретные формы", строится "не абстрактно-априористически, а с учетом конкретных задач реального движения познания" (Г.А. Подкорытов). Поэтому апробация метода на материале исследования конкретной прогностической проблемы выступает не столько средством экспериментальной проверки, сколько важным атрибутом его разработки. В данном исследовании в качестве такой конкретной проблемы используется анализ развития воспитательной системы профессионально-технического учебного заведения нашей страны в советский период.
Цель ретроспективного анализа в прогностическом исследовании интенсификация междисциплинарного взаимодействия между прогностическими и историческими исследованиями в педагогике, стимулирование ретроспективной функции педагогической прогностики и прогностической функции истории педагогики.
Изучение научной и практической значимости проблемы позволило определить тему , цель, объект, предмет, задачи и рабочую гипотезу исследования.
__Цель исследования__ - раскрыть функции ретроспективного анализа как метода педагогического прогнозирования.
__Объект__ - метод ретроспективного анализа в педагогике.
__Предмет исследования__ - теоретико-методологические основания и практическая значимость метода ретроспективного анализа в прогностических исследованиях в педагогике.
Рабочая гипотеза - эффективность реализации прогностических функций метода ретроспективного анализа в педагогике достигается, если:
- его применение нацелено на выявление не только тенденций и эмпирических закономерностей, но и теоретических закономерностей развития прогнозируемых объектов, явлений на основе системного единства микро- и макросоциального уровней их рассмотрения (личностно-психологического, социально-психологического, социологического, философско-религиозного (в т.ч. аксиологического)), с одной стороны, и его непрерывного поэтапного осуществления в зависимости от общего уровня и характера их изученности (современного состояния и истории), с другой;
- коррелирует изучение процессов и результатов ретроспективного анализа развития как собственно объекта педагогического прогнозирования, так и прогнозного фона (т.е. объектов и явлений, которые выступают как условия и факторы
- 4 -
развития прогнозируемого объекта, явления), углубляя в результате синтеза представление о логике развития профиля прогноза;
- как система рассматривается не только педагогический объект, явление, но и в синтезе с этим сам процесс их развития, что позволяет структурировать органическую зависимость прошлого, настоящего и будущего, понимать логику развития системных отношений прогнозируемого объекта. явления в их пространственно-временной целостности.
Соблюдение названных требований в изучении процесса развития стимулирует углубление сущностной типологизации качественных состояний объекта, явления по оси времени и логики их смены - основы для эффективного (в перспективе количественного) прогнозирования развития педагогических объектов и явлений.
В соответствии с целью и рабочей гипотезой в исследовании поставлены следующие задачи:
1. Проанализировать теоретике- методологические (общенаучные и научно-педагогические) основания необходимости и возможности использования метода ретроспективного анализа в прогностическом исследовании в педагогике.
2. Разработать форму и способ (технологию) взаимосвязи между прогностическими и историческими исследованиями в педагогике, осуществляя ретроспективный анализ в конкретном педагогическом прогностическом исследовании.
3. Определить место и роль метода ретроспективного анализа в системе прогностических методов, его границы, условия и возможности реализации в прогностическом исследовании в педагогике.
4. На материале конкретного прогностического исследования (развитие воспитательной системы профессионально-технического учебного заведения) предложить перспективные направления совершенствования технологии ретроспективного анализа в педагогическом прогнозировании.
Методологической основой исследования являются: Системный подход к изучению методов и функций науки, а также в понимании процесса развития (Н.Леонтьев, Г.Лотце, Б.Н.Кедров и др.); новая философия образования,раскрывающая его роль в складывании современного типа отношений человека к миру, природе, людям, самому себе (Б.С.Гершунский и др.); актуальность социальной функции предвидения в целях оптимизации социалыю-управленческой (включая в системе образования) деятельности; диалектическое понимание процессов: взаимодействия
- 5 -
объективных и субъективных детерминант исторического развития, личности и общества - для преодоления линейной трактовки характера общественного развития при сочетании формационного и цивилизационного подходов, развития биосферы и общества (как ее части) в органическом единстве (Н.Ф. Федоров, В.И.Вернадский, К.Э. Циолковский, А.Л. Чижевский и др.); понимание социальной практики как ключевого пункта Социального познания (наиболее последовательно разработанное в марксизме).
__Теоретическая основа__ исследования: принципы непрерывности и практико-ориентированности прогностического исследования в педагогике, требующие рассматривать ретроспективный анализ как непрерывный процесс познания, ориентированный на современную социальную практику¡нацеленность на извлечение потенциальной (структурной,вытекающей из анализа логических связей) информации из информационных (в налей работе - историографических) источников в информационном обеспечении научного исследования,основанная на современной теории источниковедения исторической науки, - для удовлетворения информационных потребностей пользователя-прогнозиста. Ни исходим из установки, сформулированной в теории историографии и науковедении, на междисциплинарный и разноуровневый синтез научного знания как основы для познания теоретических закономерностей развития и прогнозируемых педагогических объектов, и самого научного знания о них - во взаимосвязи. Апробация " метода на материале конкретной педагогической проблемы (развитие воспитательной системы профтехшколы) потребовала опереться на теоретические представления о развитии педагогических объектов, явлений: современные педагогические и психологические концепции развития, и воспитания личности как процесса ее саморазвития на протяжении жизненного пути (К.А. Абульханова-Славская, Б.Г. Ананьев и др.), современное понимание профессионального становления личности как условия ее самореализации и социализации (С.Я. Батыаев.И.Б.Бекбоев, А.П.Сейтеаев и др.). К ним также относится системное понимание педагогических объектов и явлений: теория воспитательной системы учебного заведения как феномена педагогической действительности (Л.И.Новикова, В.Л.Караковский, Л.Н.Селиванова), воспитание в профтехшколе (Л.А.Волович, Н.И.Таланчук и др.), концепция системы непрерывного профессионального образования как организационной социальной структуры для гармонизации образовательно - воспитательных интересов личности и общества (М.И. Махмутов, В.Д. Путилин и др.). Мы основываемся на культурологическом подходе к педагогическим явлениям как компонентам общественного механизма трансляции социаль-
- 6 -
ного и духовно-нравственного опыта (Л.П.Буева, Р.Г.Гурова и др.), рассматривая систему образования как социокультурный институт.
Для решения поставленных задач Использованы следующие обще и частнонаучные методы исследования: исторический и логический методы - для раскрытия категории "структуры развития" изучаемых объектов, явлений; дедукция и индукция - при конкретизации общих подходов в изучении методов применительно к ретроспективному анализу как методу прогностического исследования в педагогике, при ретроспективном анализе развития воспитательной системы профтехшколы; классификация и типологизация ретроспективных информационных потоков в прогностическом исследовании; публикационный метод прогнозирования и историографический метод исторической науки в оценке репрезентативности, анализе и систематизации историографических источников и библиографии. Мы опирались на междисциплинарный анализ работ и синтез теоретических идей различных областей социального и научного познания (непрерывность и практическая актуальность прогностических и исторических исследований, системообразующее значение прогностической функции в системе функций науки, теоретическая неисчерпаемость структурной информации в информационных источниках и др.). Использованы также методы моделирования (матрица ретроспективных информационных потоков), экстраполяции и интерпретации подходов и идей из одних научных отраслей в другие (например , непрерывность прогностического исследования -применительно к историческому, компоненты системы информационного обеспечения научного исследования - применительно к коммуникации между историческими И прогностическими исследованиями).
''Научная новизна исследования''. Междисциплинарное (в философии, историческом познании, прогнозировании, информатике, науковедении) историографическое изучение проблемы взаимосвязи прошлого, настоящего и будущего показало научную и практическую необходимость и возможность актуализации исторического опыта в прогнозировании развития педагогических объектов и явлений. Обоснована необходимость специального исследования прогностических функций метода ретроспективного анализа для повышения эффективности педагогического прогнозирования.Предложен и разработан содержательно-аналитический принцип при формировании системы информационного обеспечения прогностического исследования в педагогике, позволяющий, во-первых, на основе общего логического информационного языка осуществлять коммуникацию между историческими и прогностическими исследованиями, во-вторых, полнее реализовать положение общей теории информации
- 7 -
об информационной неисчерпаемости источников применительно к педагогическому прогнозированию.Разработана технология ретроспективного анализа применительно к конкретной педагогической проблеме, на основании которой определяются условия, возможности и границы его применения в прогностическом исследовании, зависящие от общего уровня изученности проблемы.
Теоретическая значимость заключается в разработке на основе информационного и науковедческого подходов поэтапной технологии интеграции исторических и прогностических исследований в педагогике как ведущего направления межнаучного синтеза, стимулирующего и обобщающего более глубокое понимание единства конкретно-исторического и логического развития прогнозируемых объектов, явлений. Ее суть - развитие системы ретроспективных информационных потоков, соответствующих развитии системы основных функций' научного знания. Предложенный подход и процедура его реализации вносит определенный вклад в развитие философии образования: в преодоление известного редукционизма педагогического (школо- и знаниецентризм) и исторического (одномерное понимание развития,"прогресса").Педагогический подход к проблеме взаимосвязи истории и прогностики острее любого другого демонстрирует необходимость иной (неклассической) парадигмы развития науки (необоснованность претензий науки на роль духовного лидера общества,научных планов его "переделки",отход от жесткого подчинения методологии к признании роли казуистики,личностный и этический характер научных знаний (Ю.А.Врейдер)).
__Практическая значимость__ исследования заключается в возможности использовать методологии и методику ретроспективного анализа в прикладных прогностических исследованиях, обеспечивая их систематизированной ретроспективной информацией. Ретроспективный анализ дает возможность обеспечить принятие управленческих решений (в т.ч. в системе образования) на основе учета логики развития объектов, явлений в социальной практике. Технология ретроспективного информационного обеспечения прогностического исследования и её использование в решении социальных проблем могут быть предложены на рынке знаний и образовательных услуг. Теоретико-методологические основания ретроспективного анализа в контексте новой философии образования позволяет осмыслить альтернативный педагогический опыт.
__''Положении, выносимые на защиту:''__
1. Поскольку знание логики, закономерностей (структуры) развития прогнозируемых объектов, явлений выступает необходимым усло-
- 8 -
вием повышения напевности и самостоятельности (независимости от конъюнктуры) прогностического исследования в педагогике, важнейшим компонентом информационного обеспечения последнего является абсолютный и относительный рост (по отношению к части актуальной информации) ретроспективной информации как исключительного источника сведений такого рода. Решение этой задачи связано с реализацией прогностических функций метода ретроспективного анализа.
2. Основным направлением ретроспективного анализа является взаимообогащающая интеграция исторических и прогностических исследований в педагогике в целях удовлетворения информационных потребностей вторых и в контексте общего процесса интеграции научного знания. В связи с разнобоем в темах и предметах рассмотрения/ различием структур и, как следствие, их логической несовместимостью мы предлагаем в качестве единого логического языка коммуникации между ними использовать построение системы ретроспективных информационных потоков в соответствии со структурными компонентами и основными функциями научного знания. Такой подход позволяет перейти от формальной классификации (по темам публикаций и работ) информационных потоков к содержательно-аналитической,ориентированной на обработку структурной информации историографических источников.
3. Ретроспективный анализ представляет собой логическую последовательность этапов (связанных с построением первичных, вторичных и т.д. систем ретроспективных информационных потоков, т.е. со степенью глубины овладения структурной информацией) и процедур (изучение актуального состояния профиля прогноза, составление корпуса историко-педагогических историографических источников, построение системы ретроспективных информационных потоков.дальнейшая аналитическая проработка этих потоков,связанная с извлечением структурной информации и т.д.), зависящих от объекта и предмета изучения,степени и глубины познания их современного состояния и истории, направленных в конечном счете к синтезу знаний об объекте, явлении, способному дать понимание логики процесса развития профиля прогноза (Р.Акофф).
4. Ретроспективный анализ может быть проведен по различным основаниям или типологиям (принцип связи школы с жизнью, место ученика в воспитательной системе школы и т.п.). Они необходимы и целесообразны как формы познания логики (структуры) историко-педа-гогического процесса,-но исходным принципом любой типологизации исторического и историко-педагогического процесса должно быть изучение системы конкретно-исторических условий воспроизводства и
- 9 -
развития природы человека, передачи социального и духовно-нравственного опыта в изменяющейся совокупности материальных и духовных связей, психологии и менталитета народа, страны, эпохи,
__Апробация и внедрение результатов__ исследования. Выводы и результаты исследования проверялись и корректировались при обсуждении в лаборатории методологии педагогики и педагогического прогнозирования НИИ теории и истории педагогики (Москва), . во Всесоюзном институте повышения квалификации руководящих работников и специалистов профтехобразования (Московский филиал), в Кунцевской районном Совете народных депутатов (Москва); на Всесоюзной студенческой научной конференции по гуманитарным наукам МГПИ им. В.И.Ленина (Москва, 1988г.); на семинаре аспирантов кафедры педагогики ВГПИ им, П.И.Лебедева-Полянского (Владимир, 1989г.); на Всесоюзной научно-практической конференции "Теоретико-методологические и прикладные проблемы развития единой системы непрерывного образования" (Одесса, 1983г.); на международной конференции "Грамотность для XXI века" (Москва, 1990г.); на Всесоюзной конференции "Теоретико-методологические и методические проблемы изучения и прогнозирования отдаленных результатов учебно-воспитательного процесса" (Калининград (обл.), 1990г.); на семинаре-совещании "Воспитательные системы икол: история и современность" (Владимир, 1990г.); на 2-м Соловецком форуме "Культура и политика в современном мире" (Архангельск, 1990г.); на 26-й научной конференции молодых ученых историко-филологического факультета УДН им. П.Лумумбы (Москва, 1931г.); на Х-й сессии Научного Совета АПН СССР по проблемам истории школы и педагогики "Общечеловеческое и национальное в историко-педагогическом процессе" (Москва, 1991г.); на Всесоюзной научно-практической конференции "Народная педагогика и современные проблемы воспитания" (Чебоксары,1991г.); на семинаре зам.министров образования союзных республик "Профессионально-техническое образование в условиях регулируемой рыночной экономики" (Ленинград, 1991г.); на Всесоюзном совещании зам.начальников областных управлений народного образования (Сергиев Посад, 1990г.).'
Идеи исследования использованы при составлении региональной программы "Занятость и профессия" (Кунцевский р-н), в работе Кунцевского районного молодежного дискуссионного клуба "Действие", в СПТУ-80 (Москва).
- 10 -
<center> II. СТРУКТУРА И СОДЕРЖАНИЕ ДИССЕРТАЦИИ</center>
Диссертация состоит из введения, двух глав, заключения, библиографии и приложения.
Во __введении__ характеризуется актуальность темы,общий подход к ее разработке, определяются цель,объект, предмет, гипотеза, задачи исследования, использованные методы, основные защищаемые положения, приводятся сведения об апробации и внедрении результатов.
В __главе I__ "Теоретико-методологические основания использования метода ретроспективного анализа в педагогическом прогнозировании" проведено теоретическое обоснование логики ретроспективного анализа в педагогическом прогностическом исследовании,которая может быть рассмотрена в единстве двух сторон: 1) подхода,на основе которого осуществляется интеграция прогностических и исторических исследований; 2) научной процедуры,технологии реализации подхода применительно к конкретному объекту.предмету,целям,задачам прогностического исследования и в зависимости от степени и характера его изученности в исторической и историко-педагогической науке.
В общенаучном контексте (прогностика и историческая наука в целом) связь педагогической прогностики -и истории педагогики выступает как: взаимосвязь исследований прошлого и будущего через интенсификацию "диалога" между ретроспективной функцией прогностики и прогностической функцией исторической науки на основе предметных научно-технологических процедур. Исходным и заключительным пунктом этой взаимосвязи (теоретически и практически) в рамках отдельного звена непрерывного познания выступает социальная практика, современность. При этом исследователю необходимо учитывать изменчивость исторической картины как "культурного текста, написанного самими, людьми" (Д.С.Дхиезер), в_зависимости от запросов современности,с другой стороны, помнить о .риске телеологического подхода, когда история рассматривается как "не до конца оформившееся настоящее" (Э.В.Ильенков) и будущее. Осуществление такой взаимосвязи делает действительно научным, в наименьшей степени подверженным конъюнктуре, и прогностическое, и историческое исследование.
Одним из путей решения проблемы является специфически направленная познавательная деятельность, которая в общем виде может быть определена как "ретроспекция", т.е. "взгляд назад", основывающийся на современном знании о явлении и взаимодействии дедуктивного и индуктивного методов при изучении его развития. Такое взаимодействие дает возможность, с одной сторона, увидеть в
- 11 -
прошлом тенденции, незамечаемые или адекватно недоцениваемые тогда, когда определенный период в развитии объекта, явления изучается изолированно, с другой стороны, не дает современному знании стать самодовлеющим. Отличительная черта ретроспекции как метода познания - это "направленность от настоящего к прошлому, от следствия к причине", что позволяет "синтезировать знания об общем характере развития явлений" (В.В.Иванов),
Несмотря на принципиальное единство в понимании содержания, термин "ретроспекция".лежащий в основе родственных названий (ретроспективный анализ, ретросказание, ретроспективный метод, прогнозная ретроспекция),а также близких по смыслу (регрессивный метод,исторический анализ, историко-логический анализ, историческое прогнозирование, историческое моделирование и т.п.), встречает различное понимание,несет различную исследовательскую нагрузку в зависимости от предмета науки, этапов исследования, внутренней установки ученого, определяющих специфику и последовательность научных процедур.
Условно трактовки ретроспекции (включая оценку ее прогностической функции) можно разделить на группы:
1) ретроспекция как общий подход к историческим явлениям (И.Блок, И.Д.Ковальченко, Г.Латце, Б.У.Ногильницкий, Е.Г.Осовский, З.И.Равкин и др.);
2) ретроспекция как метод (Н.В.Богуславский,Г.Б.Корнетов,Е.Д, Гражданников.В.З.Дробижев, А.И.Зевелев.В.В.Иванов, Б.П.Никитин);
3) применение ретроспекции в конкретном исследовании (А.С. Ахиезер, Л.И, Богомолова, Б.С. Герщунский, Е.Д. Гражданников, Н.К. Крупская, А.В. Лукьянов, А.Н. Нечухрин, Б. Саймон, П; Соколов, Л.А.Степавко, В.А.Устинов, К.Д.Ушинский, Ф.А.Фрадкин и др.).
Однако разработка ретроспекции как метода прогностического исследования в педагогике (да и в прогнозировании в целом,исключая в известной мере науковедение) в научной литературе отсутствует.
Изучение общенаучных и научно-педагогических оснований для применения ретроспективного анализа в педагогическом прогнозировании сделало возможным вывод об органической взаимосвязи между прошлым, настоящие и будущим как временной целостностности, представляющей собой систему, отражающую логику развития прогнозируемого объекта, явления. Эта логика отражается в познании прежде всего посредством категорий "закона" и "закономерности" как высшего уровня понимания этой взаимосвязи, позволившего прогнозировать развитие или заполнять "белые пятна" в истории объекта, явления. В отношении педагогических объектов категории "закона" рассматривалась педагогами-исследователями ( С .И .Архангела
- 12 -
ский, Б.А.Ахмедов, В.К.Бабанский, Б.С.Гершунский, В.Е.Гмурман, Б.Т.Лихачев, Я.Пруха и др.). Ряд исследователей предпочитает использовать категории "закономерности" (И.Ф.Харламов). В связи со смешанным употреблением этих категорий и их неустоявшемся значением, мы предлагаем понимать под закономерностью непрерывно углубляемое объективное знание наиболее предпочтительного и (если речь идет о предвидении) вероятного с точки зрении сущностной реализации природы объекта, явления направления развития в его (явления) внутренних и внешних системно осмысленных связях и отношениях, как закономерную (не обязательно линейную по форме проявления) тенденцию развития. И.Ф.Харламовым предпринята попытка свести общие педагогические закономерности в единую систему.
Такое понимание закономерности позволяет учесть бесконечность процесса познания,включать условия для проявления закономерности (А.Г.Спиркин; Философский словарь (1981г.)), периодически познаваемые как типические, в содержание закономерности, которое в этом случае приобретают динамику за счет "освоения" факторов прогнозного фона путем их интерпретации (в данном случае педагогической).Такое положение отвечает и принципу непрерывности прогнозирования. Практически это означает,что прогностическое исследование стремится к тому,чтобы изучение собственного "поведения" профиля прогноза стало опорой последнего при дополнительном значении анализа прогнозного фона. Прогностическое исследование с необходимостью обращается к закономерностям развития прогнозируемого объекта,явления, т.е. по существу к Закономерностям их истории.
Система закономерностей может быть понята как система развития объекта, явления, или структура развития, диалектика смены качественных состояний, что шире понятия динамики развития как количественного описания изменений, служащего основанием для фиксации эмпирических тенденций в границах определенного качества. При опоре на знание структуры развития возможно предвидение оптимальных условий (прогнозного фона) для сущностной реализации природы объекта, явления и управление ими. Через эту категорию взаимосвязь между прошлым, настоящим и будущим становится наглядной и осязаемой.
Исходным пунктом структурирования исторического и историко-педагогического процесса является понимание органической целостности всех форм движения материи, а не иерархической их организации. В прогностике его придерживается Е.Д. Гражданников, изучая естественные и социальные формы движения материи в синтезе. В связи с этим более целесообразным представляется наблюдение общественного развития не с социоцентрической, а с монистической (косми
- 13 -
центрической) точки зрения и на основе личностно-ориентированного подхода к социальным и педагогическим явлениям (в дореволюционной науке: К.Д.Ушинский, Н.И.Пирогов, П.Ф.Каптерев, философия "русского космизма", Н.М.Карамзин, Н.К,Михайловский, Л.Н.Войтоловский; в искусстве - "избяной космос" Н.Клюева). В советской исторической науке эти тенденции начали возрождаться в 60-е и особенно в последние годы (М.А.Барг, М.М.Бахтин. А.Я.Гуревич, Г.Г.Дилигенский, Ю.М.Лотман, С.Ф.Поршнев, В.А.Вакуров и др.); из зарубежных авторов, писавших в русле исторической антропологии, прежде всего необходимо назвать М.Вебера и французскую историческую школу "Анналов". В советской историко-педагогической науке этот подход утверждается Б.М.Бим-Бадом, А.Э.Измайловым (народная педагогика). В 60-е годы в отечественной историософии складывается подход, в рамках которого исследователи стремились уйти от прямолинейного историзма в поисках структуры исторического процесса как изменяющейся системной целостности всего богатства общественных отношений и который наиболее развернуто представлен в последних работах М.А.Барга. Принципиально важно, что важнейшим объектом и отправным пунктом исторического исследования признается человек во всех его реальных связях с другими людьми, социальными общностями и институтами материальной и духовной культуры. " Иначе чем при посредстве анализа психических механизмов людей изучаемой эпохи приблизиться к ее постижению невозможно. Это средостение, незримо отделяющее историка от предмета изучения...",- считает А.Я.Гуревич .
Примерно с этого же времени активизировалось осмысление логических связей историко-педагогического процесса (Ф.Ф.Королев, З.И.Равкин, К.И.Салимова, позже Э.Д.Днепров и др.). В последнее время разрабатывается подход с точки зрения смены педагогических парадигм: М.В.Богусловским и Г.Б.Корнетовым предложена модель педагогической парадигмы, дающая возможность для прогнозных выводов, с преобладанием науковедческого, школоцентрического акцентов типологии учебно-воспитательных систем. Между тем при построении парадигмы воспитания и образования особенно важно опереться на указанный выше подход: категория "жизненного пути" человека (К.А.Абульханова-Славская, Б.Г.Ананьев и др.) могла бы стать сквозной для любых поисков. В большей степени это учитывается в работах Т.Ч.Нальковской и А.М.Сидоркина.
Личностно-ориентированный подход востребует историки-типо-
---
```
I. Гуревич А.Я, История и психология //Психологический журнал.- 1991. №4 - С.7.
```
- 14 -
гические исследования личности, теоретико-методологические основания для-которых созданы В психологии (К.А.Абульханова-Славская, Л.Н.Анциферова, Р.Берне, А.Ф.Лазирский, 3 И.Файнбург и др.), но почти не используются в исторической и историко-педагогическом познании. Исторические типы личности могут пониматься, на наш взгляд, как формы проявления человеческой природы в ее биологической,социальной и духовной целостности; ее воспроизводство и развитие на протяжении жизненного пути человека, а также от поколения к поколению есть общественная функция воспитания, а совокупность воспитательных систем общества (как по-вертикали и по-горизонтали, так и в их всевозможных комбинациях) представляет собой организационный общественный механизм этого процесса. Определение типологии и закономерностей развития воспитательных систем - жизненно важное условно организации и прогнозирования жизни общества,в т.ч. системы образования, построения педагогических парадигм.
Проблему общего логического измерения, языка коммуникации для единого понимания закономерностей между прогностикой и исторической наукой вообще, педагогической прогностикой и историей педагогики в частности, мы предлагаем решать на путях науковедческого и информационного подходов: их сочетание позволяет выстроить единую для всех наук структуру языка, каждый компонент которой соответствует определенному виду научной информации. В её основе лежит структура основных научных функций: рефлексивная, описательная, диагностическая (оценочная),объяснительная (теория), нормативная (методология), предсказательная (прогностическая,основанная на понимании)) в их взаимосвязи и развитии (системе),присущие науке на любом уровне ее зрелости (схема 2) и отражаемые о единице научной продукции - историографическом факте (научном тексте). Сложная логическая структура научного текста^^1^^ позволяет перейти от формальной (по темам публикаций и работ) к сущностной (С.С.Розова), содержательно-аналитической классификации ретроспективных информационных потоков в информационном обеспечении прогностических исследований, соответствующих структурным компонентам системы научных функций. Такая классификация и сама приобретает способность к объяснению и предсказании (С.С.Розой.I) (например, экспертиза состава и зрелости информационных потоков в прогностическом исследовании). Исторический опыт интегрируется в прогностическое исследование посредством системы ретроспективных информаци-
---
```
1. Методологические проблемы историко-научных исследований. - № 1982. - С.311-314.
```
- 15 -
онных потоков,обладающих в отдельности различным прогностическим потенциалом.
Отличительной чертой ретроспективного анализа как метода прогностического исследования является органическая включенность в непрерывный процесс прогнозирования, в котором прошлое ' "вопрошается" под специфическим углом зрения, определяя особый ракурс, предмет рассмотрения исторического опыта, направленный на выявление закономерного, логического в развитии объекта, явления. Находясь в традиционных "сферах влияниях" прежде всего истории и прогностики (в т.ч. в педагогике), ретроспективный анализ не противостоит ни прогностическим, ни историческим методам, но находится с ними в тесной взаимосвязи, конфигурация которой меняется в зависимости от объекта прогнозирования, сторон его рассмотрения, степени изученности в науке (в т.ч. исторической, историко-педагогической) и других обстоятельств. В зависимости от степени изученности явления, этапов и глубины ретроспективного анализа последний может вступать с ними в различные отношения: дополнительности (интегрируя их разрозненные результаты или создавая условия для более полного решения их частных, с точки зрения реализации прогностической функции, задач), верификации (при взаимной проверке процесса и результатов измерения), взаимозаменяемости и даже формального тождества (прежде всего на исходной стадии, когда получаются первые обобщающие данные), если не теряет из вида своей сверхзадачи в прогностическом исследовании - органично включить в него выводные суждения об историческом . развитии прогнозируемых объектов, явлений. Как и любой конкретный метод, ретроспективный анализ о "развертывании" представляет собой определенную череду последовательных действий, также зависящих от названных выше условий. Наконец, он не совпадает с метаметодами -историческим и логическим- и не противоречит им, выступая одной из конкретных форм их диалектической взаимосвязи в контексте современного состояния науки, путем их практической реализации; "Анализ" не означает исключения из мышления операций синтеза; сравнения, аналогии и др. - любой метод содержит их имплицитно, что делает в конечном счете классификации методов условной и по характеру служебной; анализ имеет смысл только как предварительное условие для синтезированного восприятия, связанное с начальными этапами исследования объекта, явления - его структуры, объясняющей как работают вещи, тогда как синтез позволяет понимать почему они работают именно так (Р.Акофф). Преобладание аналитических процессов обусловлено необходимостью па начальном этапе разработки
---
- 16 -
метода уделить внимание дифференцированному рассмотрению информационных потоков системы информационного обеспечения, качественных состояний прогнозируемого объекта, самоидентификацией метода на фоне других общих и частных методов.
В работе формулируется ряд функций,выполняемых ретроспективным анализом в прогностическом исследовании: интегрирующая (синтез научных подходов,методов,выводных знаний и т.п.); трансформирующая (перекомпоновка научной информации в соответствии с системой информационных потоков); экспертная (оценка зрелости научного знания с точки зрения реализации прогностической функции науки) и др.
Таким образом, в главе проанализированы теоретико-методологические основания необходимости и возможностей метода ретроспективного анализа в педагогическом прогностическом исследовании, разработана технология взаимосвязи прогностических и исторических исследований в педагогике, определены место и роль метода в системе прежде всего прогностических методов, его функции в зависимости от этапа ретроспективного анализа и степени общей изученности прогнозируемого объекта, явления.
В __главе 2__ "Опыт применения ретроспективного анализа в конкретном прогностическом исследовании" раскрываются прикладные аспекты метода на примере ретроспективного анализа развития воспитательной системы профессионально-технического учебного заведения в нашей стране в советский период (с 1017 г.).
Обосновывается выбор данной системы воспитания: 1) ролью воспитания как социокультурного института, его многообразных исторических форм (систем) в передаче значимого социокультурного опыта; 2) соответствием основным требованиям к объекту прогнозирования (относительная инерционность развития, многокритериальность, многократность изменения состояния и др.); 3) возможностью рассматривать как систему; 4) необходимостью учета исторического опыта в прогнозировании ее развития; 5) достаточной универсальностью самого метода, дающей возможность выбора проблемы; 6) основополагающей ролью сферы труда (существующего в структуре профессий) в жизнеобеспечении общества и профессиональной структуры - в его всестороннем воспроизводстве и развитии (Э.Дюркгейм, П.Сорокин); 7) незаменимой ролью труда в воспитании личностных и социальных качеств человека, профессии -как важнейшего пути его социального самоутверждения: 8) необходимостью в период кризиса общественных отношений предложить молодежи реальные. Ориентиры условий и требований предстоящей трудовой и профессиональной деятельности; 9) профессионализм -
---
- 17 -
одно из условий повышения эффективности и рентабельности "человеческого капитала" в экономике; 10) наконец, система трудового воспитания (включая овладение знаниями, умениями и социально-нравственными ценностями профессии) - одно из оснований определенного стиля и образа жизни (К.Вебер, Ф.Бродель, П.П.Бурышкин? и др.), что используется в гуманистических моделях западного менеджмента (Р.Акофф.Л.Мерсер, Я.Роджерс,П.Энтони и др.).
Основные характеристики современной системы воспитания в профтехшколе были определены на основе изучения работ по педагогике профессионального образования (С.Я.Батышев, И.Б.Бекбоев, Б.С.Гершунский, Н.Н.Дьяченко, Л.А.Волович, И.Н.Скаткин, Н.М.Таланчук, С.А.Шапоринский и др.) - первый яаг в процессе применения ретроспективного анализа: составление дедуктивной модели (парадигмы). Установлено, что большое количество разобщенных исследований не уравновешивается работами,которые теоретически, системно осмысливают процессы воспитания в профтехшколе.а также необходимыми предпосылками для таких исследований (наличие проблемных указателей, историографических обзоров и т.п. ). По существу проблема синтеза, интеграции всех подходов только поставлена (П.П.Беляева). На основе проведенного историографического анализа возможно прогнозировать, основное направление того, как будет складываться теоретическое понимание системы воспитания в профессиональной школе: понимание социализации и профессионализации личности в профессионально-техническом учебном заведении должно исходить из синтеза микро- и макроуровней рассмотрения (психические данные человека, уровень образования, социальная структура общества, микро-и макроструктура кадров п ее развитии и др. (Ф.Кутта, Л.Ро и др.)). По основании комплексной (синтезированной) модели и необходимо определять качественные состояния (типы) воспитательных систем, этапы развития (т.е. периодизацию) - основы для определения логики (структуры) развития.
Несовпадение имеющихся вариантов периодизации истории советской общеобразовательной и профессиональной школе по основания указанных выше педагогических парадигм с периодизацией советской истории по ряду других оснований, имеющих существенное значение для профессионализации личности (система мотивов в труде, условия труда, распределительные отношения)^^1^^ ставит вопрос о
---
1. Мотивация и поведение человека в сфере труда: Сб. науч.тр./Л.Г.Янтпсенкоп и др.- М., ИПО.-П.Р-7; Истопия и
- 18 -
расширении содержания педагогической парадигмы до системы социальных связей, в которой роль ученика будет только ипостасью развития его человеческой сущности в целой (звеном биографии, а последняя - звеном в цепи общественного развития).
Ретроспективный анализ развития воспитательной системы советской профтехшколы дал возможность определить представительный корпус историографических фактов (более 200 наименований работ советских и зарубежных авторов отобрано в приложении) и на этой основе построить систему ретроспективных потоков (библиографического (фактографического), источниковедческого, историографического, теоретического, методологического,
прогностического (схема 2)). Он показал исключительное преобладание фактографического информационного потока, обладающего минимальным прогностическим потенциалом, т.к. осмысливает прошлую педагогическую действительность описательно, не системно, только создавая условия для типологического осмысления объекта, а также слабую связь и взаимосвязь между всеми информационными потоками как серьезное препятствие для извлечения структурной информации из источников. Конкретный процесс исследования сделал необходимым считать эту работу первым, констатирующим, этапом ретроспективного анализа, позволившим сформировать репрезентативный круг информационных источников, определить первичную (по формальному основанию, т.е. по темам публикаций и работ) систему ретроспективных информационных потоков и примерное содержание следующих этапов ретроспективного анализа, связанных с аналитическим рассмотрением с позиции системы ретроспективных информационных потоков каждого первичного ретроспективного информационного потока.
Степень изученности ретроспективных информационных потоков на первом этапе ретроспективного анализа показывает возможность прогностической интерпретации и экстраполяции выводов, содержащихся в отдельных ретроспективных потоках, на современную практику и прогнозирование развития воспитательной системы профтешиколы. Однако каждый случай нуждается в специальной аргументации, т.к. прямой перенос исторического опыта в современность даже на уровне аналогий рискован. Цель такой
---
```
современность (проблемы экономических преобразований)/ Отв.род. В.П.Н.1У, И.В.Стлродубрпнская. - Ы. .1930. - С.113-125; Советологические прогнозы о проблемах .экономического развития СССР. -№ ,1991.- Ч.2..- С.198.
```
- 19 -
аргументации - понять функционирование и развитие выбранного "сектора" педагогической действительности в системе современных ему отношений на всех уровнях научного познания (от регистрации до теоретико-методологического и прогностического). Не является исключением и прогностический ретроспективный информационный поток: выделенные в теории профтехобразования долгосрочные тенденции развития системы (Е.Г.Осовский) в современной практике в значительной степени не действуют. Некоторые конкретные аспекты актуализации исторического опыта в диссертации раскрываются.
Предполагается, что составление вторичных систем потоков будет основываться преимущественно на анализе структурной информации. логических заключениях. Углубление ретроспективного анализа не исключает появления систем потоков третьего ряда и т.д., пока не интенсифицируется процесс "наложения" идей и выводов, что свидетельствует о вступлении в стадию синтеза - исследования объекта, явления в пространственно-временной целостности.
Применительно к системе воспитания профтехшколы ретроспективный анализ пока не может обеспечить основу информационного обеспечения прогностического исследования, оставляя приоритет за анализом прогнозного фона и сочетаясь с ним.
Первый этап ретроспективного анализа позволил увидеть не только направления совершенствования методической (технологической) его основы,но и то, что это должно сопровождаться и базироваться на развитии необходимых общенаучных предпосылок прежде всего по трем органически связанным направлениям: 1) психологические и социально-психологические исследования процесса социализации и профессионализации личности с позиции "жизненного цикла", изучение не только, качественных, но и количественных параметров социализации (Э.М.Александровская, А.А.Кыверялг, Б.Мейер-Пробст, Ю.Пиатковская и др.); 2) сущностная типологизация историко-педагогического процесса в рамках общеисторического, в частности, на основании хозяйственно- культурных типов, интегрирующих и материальные, и духовные факторы эволюции (Б.В.Андрианов; Г.Е.Марков), с проведением сравнительно- региональных и сравнительно- хронологических исследований, расширяя базовый прогнозный период до времени генезиса объекта, явления, учитывая все этапы его развития; 3) количественные методы в историческом познании (духовной культуры), без которых немыслимо раскрытие динамики общественного развития ("подъем", "упадок" и т.п.) (Л.В.Милов, И.Д.Ковальченко и др.). их корреляция с количественными показателями социализации человека.
- 20 -
В заключении подчеркивается необходимость сознательного контроля - над мерой академического и технократического вмешательства в естественные формы жизни, связанного с тем, что; 1) существенную роль в воспроизводстве и развитии общественной жизни играет такие вненаучные феномены, как обычаи и традиции; 2) общество - это растущий организм, а не конструируемый механизм, его история '- не механический, а органический процесс; 3) овладение указанным инструментарием в безответственных руках становится средством античеловеческой манипуляции сознанием; и, как следствие из сказанного, 4) совладение принципа "не навреди!", т.е. целесообразность искать эффективные основы жизнедеятельности (в т,ч."нового" человека информационного общества) в историческом опыте человечества. Кроме того,наука будущего по определенна откажется от попыток тотальной регламентации какими-либо средствами социальной жизни.
Проведенное исследование позволяет сделать следующие __выводы__:
1. .Для повышения объективности и практической эффективности прогностических исследований в педагогике необходимо не просто учитывать, но опираться на познание теоретических закономерностей развития прогнозируемых объектов, явлений, процесс которого (познания) предполагает историческое и логическое единство прошлого, настоящего и будущего. Данные прогнозного фона выполняют в этом случае корректирующую функцию, но играют решающую роль при недостаточном знании собственной логики развития профиля прогноза.
Знание теоретических закономерностей воплощается в представлении о системе развития (структуре развития) профиля прогноза как диалектики и динамики изменения его качественных состояний. Знание структуры развития позволяет не только прогнозировать, но и заполнять "белые пятна" в истории объекта, явления.
2. Средством интеграции результатов и процессов исторических и прогностических исследований в педагогике является ретроспективный анализ развития прогнозируемых объектов, явлений под углом зрения информационных потребностей прогностического и при учете логики исторического исследования. Коммуникация между исследовательскими логиками и результатами различных дисциплин осуществляется на основе единого логического языка - посредством построения системы ретроспективных информационных потоков, которые соответствует основным компонентам системы функций науки в ее (системы) развитии и связаны с все более глубоким овладением структурной информацией, скрытой и информационных источниках.
В силу этого ретроспективный анализ развертывается поэтапно.
- 21 -
и переход от этапа к этапу зависит от уровня общей изученности современного состояния и истории объекта, явления и представляет собой построение первичных, вторичных, третичных и т.д. систем ретроспективных информационных потоков до тех пор, пока не начнут доминировать процессы синтеза разноуровневой информации, давая целостную картину развития профиля прогноза. Проведенный нами ретроспективный анализ развития воспитательной системы профтехшколы явился лишь первым, констатирующим, этапом ретроспективного анализа, связанным с построением первичной системы ретроспективных информационных потоков, не затронувшим глубину потенциальной (структурной) информации. Эта задача следующих этапов.
4. Выполняя специфические функции по осуществлению коммуникации прогностических и исторических исследований в педагогике, ретроспективный анализ опирается на исторические и прогностические методы и результаты их применения, что, с одной стороны, увеличивает значение конкретных историко-педагогических и прогностических исследований в создании логической картины развития прогнозируемых объектов, явлений, с другой стороны, обеспечивает прогностические возможности самого метода. Функционально востребуя знания междисциплинарного характера, ретроспективный анализ выступает средством внутрипредметной и межнаучной интеграции педагогики на основе ведущей взаимосвязи истории педагогики и педагогической прогностики, стимулируя создание условий для объективного (в перспективе количественного) прогнозирования развития педагогических объектов.
5. Увеличение прогностических возможностей ретроспективного анализа связано как с совершенствованием его собственной технологии, так и с развитием общенаучных предпосылок и условий. Развитие технологии - это прежде всего исследование собственной логики развития систем ретроспективных информационных потоков, поиск их инвариантной основы. Она может быть найдена через' сопоставление процесса и результатов ретроспективного анализа развития нескольких объектов и явлений и будет представлять собой систему наиболее оптимальных средств и приемов по извлечению из информационных источников и систематизации структурной информации. Создание общенаучных предпосылок мы видим в развитии исследований по следующим основным направлениям: 1) изучение качественных и количественных параметров социализации человека; 2) типологизация историко-педагогического процесса в рамках общеисторического; количественные методы и историческом познании (духовной
- 22 -
культуры). Это позволит комплексно понимать системы конкретно-исторических условий воспроизводства и развития природы человека в ее биологической,социальной и духовной целостности, передачи социокультурного опыта.
''По теме исследований опубликованы следующие работы:''
1. Взаимосвязь общечеловеческого,национального и личностного в религиозной системе воспитания: монастырская система воспитания (православные монастыри XIV-XVI вв. )//Общечеловеческое и национальное в историко-педагогическом процессе: Сб.тез. Х-й сессии Научного'Совета АПН СССР по проблемам истории школы и педагогики (Москва, 21-22 мая 1991 г).-М..1991.4ч.15л.
2. Воспитание политической культуры молодежи // Опыт перестройки подготовки рабочих кадров и проблемы совершенствования учебно-воспитательного процесса: Сб.мет.мат.-М.,1990.-0,3 л.
3. Занятость и профессия (концепция региональной программы)// Методист.-М.:ВНМЦентр профтехобразования молодежи, 1991,-N5(15).
4, К разговору со священником о воспитании и о смысле жизни //Общественные науки и современность.-1992,- N2.-С.158-166.
5. Монашество и мир: к анализу воспитательных отношений в народной среде (14-17вв.) //Народная педагогика и современные проблемы воспитания: Мат.конф. (Чебоксары, 23-24 октября 1991г.): В 4ч.-Чебоксары, 1991-Ч.2.-0,15л. (в соавт.).
6. О профессиональной гордости великороссов//Дискуссионный биллетень МГН ВЛКСМ.-1989.-N5.-О,25л.
7. Православный церковный приход как воспитательная система - у истоков русской народной педагогики (московские приходы 17-19 вв.) //Народная педагогика и современные проблемы воспитания. - 0,15л.
В. Применение ретроспективного анализа в прогнозировании целевых ориентиров воспитательной деятельности (теоретический аспект) //Социально-политические ориентиры в деятельности современной вколи Сб.науч.тр.-М.,1991.-Деп. в НИИ ТиИП 30.12.91.N255-91.- 0,5л.
9. Ретроспективный анализ как метод прогностических исследований в системе непрерывного образования //Теоретико-методологические и прикладные проблемы развития единой системы непрерывного образования: Мат.конф. (Одесса.29-31 мая 1989г.).- М.,1990.- 0,25л.
10. Философская идея развития и принцип историзма в прогностическом исследовании //Труды 26-й научной конференции молодых ученых историко-филологического факультета УДН им.П.Лумумбы. -М., 1991.- 0.5л.- Деп. в ИНИ0Н All СССР 30.07.91, N 44889.
[ext[ссылка|https://docviewer.yandex.ru/view/34056482/?page=1&*=rpY8kuqcUZHCNng%2BmuxBBF5IQ%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%3D&lang=ru]]
*[ext[ссылка Интернет|https://lib.herzen.spb.ru/text/kozyrev_8_07_50_55.pdf]]
*[ext[ссылка в библиотеку|file:///D:/BI/S/kozyrev_8_07_50_55.pdf]]
```
Год русского языка
В. А. Козырев,
профессор кафедры русского языка
В. Д. Черняк,
заведующая кафедрой русского языка
РЕЧЕВОЙ ПОРТРЕТ СОВРЕМЕННОГО СТУДЕНТА:
ХАРАКТЕРИСТИКА СЛОВАРНОГО ЗАПАСА
Внимание к речевому портрету современной языковой личности, к лексикону носителя языка в
значительной степени обусловлено стремлением познать картину мира нашего современника, его спо-
собность воспринимать окружающую действительность, перерабатывать все многообразие поступающей
информации. Сужение или бросающаяся в глаза дисгармония разных лексических пластов, характерные
для социума в тот или иной момент его развития, бесспорно, сигнализируют о внутреннем неблагополу-
чии общества.
Изучение тезауруса и лексикона языковой личности является одной из актуальных задач совре-
менной лингвистики, имеющей важное прикладное значение, в первую очередь для решения задач в
сфере образования. Это необходимо для осмысления того, каков реальный словарный запас нашего со-
временника, для реализации целого ряда важнейших задач гуманитарной практики.
При обращении к проблеме понимания как одной из важных составляющих речемыслительной
деятельности в фокус внимания перемещается слово, являющееся, с одной стороны, единицей лексикона
индивида, с другой — единицей текста. Слову как средству взаимопонимания принадлежит ключевая
роль: благодаря слову «высвечивается» определенный фрагмент образа мира, обеспечивающий саму
возможность речемыслительной деятельности и взаимопонимания при общении. Проблема адекватного
восприятия текста (в широком смысле слова) становится одной из наиболее актуальных проблем гумани-
тарно-педагогического образования, при этом принципиально важно, что глобальная проблема понима-
ния в значительной степени связана с богатством словаря личности.
Полное или частичное непонимание друг друга в процессе коммуникации, т. е. неосуществление
или неполное осуществление коммуникативного намерения, ведет к коммуникативным неудачам.
Бурные изменения, характеризующие русскую речь последнего десятилетия, в наибольшей степе-
ни связаны с лексическим уровнем. Вхождение и активизация огромного числа новых заимствований, в
том числе терминов, массовое проникновение в лексикон среднего носителя языка субстандартной лек-
сики, возвращение в активное употребление лексических единиц, в течение десятилетий относимых к
числу историзмов, и в то же время уход в пассив слов, обозначавших ушедшие реалии советского быта,
— все эти процессы связаны с проблемой адекватного понимания, а понимание, в свою очередь, опреде-
ляется объемом и качеством индивидуального лексикона.
Изменение и заметное сокращение круга чтения у значительной массы наших современников, вы-
теснение экранной культурой культуры книжной неизбежно приводят к тому, что многие слова или их
отдельные значения оказываются непонятными или не вполне понятными современному носителю рус-
ского языка.
Исследование индивидуального лексикона позволяет определить лакуны в словаре личности, вы-
явить зоны «коммуникативного риска», связанные с возможным непониманием коммуникантов.
Материалы «Русского ассоциативного словаря», создающего достоверный лексический портрет
современной языковой личности (портрет современного студента, поскольку массовый ассоциативный
эксперимент* проводился в студенческой аудитории), демонстрируют сигналы непонимания ряда слов-
стимулов (ими являются или реакции типа «не знаю», или реакции, явно свидетельствующие об оши-
бочном представлении о семантике слова и его лексических связях). Показательны, например, некоторые
реакции на слова-стимулы:
* В ассоциативном эксперименте испытуемый на предложенное ему слово-стимул должен прореагировать
первыми пришедшими ему в голову словами.
Речевой портрет современного студента…
51
Бостон — в холодильнике;
баловник — судьбы;
воскресение — выходной;
гопак —
что это?
долгунец — жук, бомж, холодец, не знаю, не в тему, непонятно, черт-те что,
что-то в старые времена;
кирзовый — не понял;
манускрипт — не знаю, а что это? овощ,
скрипит, скрипция;
матрица — дуршлаг, это из геометрии, трава; моцион — еда, абрикос,
лацкан, проводить, ругательство, твердый; нарды — нордический; сопромат — что-то
научное; саксаул — колючий, колючка, репейник, колется, саксаул (песня), трава, удалой,
это что-то из казахского.
Интересный материал для выявления «сферы непознанного» дают материалы обратных томов
«Русского ассоциативного словаря», в которых представлен полный список реакций с указанием стиму-
лов, на которые были получены эти реакции.
Самой частотной и универсальной является реакция «не знаю» (ее варианты — «не знаю слова»,
«не знаю что», «не знаю, что это», «не знаю, что ответить»). Иной ракурс фиксации неизвестного слова
представляет реакция «непонятно» (и ее варианты «не понял», «не понимаю»). Воспринимая ответы на
вопросы анкеты в свободном ассоциативном эксперименте как диалог, испытуемые таким образом фик-
сируют своеобразный коммуникативный сбой, не связывая его с оценкой своего словарного запаса. Диа-
логовые формы фиксации неизвестного представлены в форме реакций-вопросов («Что это?», «Что это
такое?») или эмоциональных восклицаний («Не помню», «Забыла слово», «Без комментариев», «Черт
знает что», «Черт-те что», «Черт-те чё»).
Нечеткое, часто очень поверхностное представление о семантике слова или просто обозначение
широкой области, к которой слово относится, фиксируются реакциями «Что-то в старые времена», «Что-
то из прошлого», «Что-то из 30-х гг.», «Что-то в предложении».
Ярким показателем неизвестности слова является отсутствие реакции в ассоциативном экспери-
менте. В словаре приводится список слов-стимулов, не породивших реакции. Самыми частотными из
них являются слова недужный, хребтина, сноб, монополия, повеса, шалопут, чванливый, долгунец.
Реакция «не знаю» и иные подобные реакции могут указывать на трудность освоения определен-
ной понятийной сферы в процессе обучения (монополия, интеграл, деепричастие, орфографический).
Однако значительно чаще соответствующие реакции маркируют неизвестные слова (не знаю — авангар-
дист, долгунец, пропан, ратуша, тарантул, мольберт, манускрипт, сноб, стяг, рутина, фетровая, фре-
зерный, шалопут; не знаю слова — сель; не понимаю — шовинизм, переметная; не понял — сноб,
тщетный, шустрый; непонятно — долгунец, трясогузки; что это — гопак; черт знает что — аморфный,
кадриль, ловелас; что-то из 30-х гг. — однокашник; не помню — однокашник; что-то из прошлого —
ламбада; что-то в старые времена — долгунец). Эти материалы свидетельствуют, что в «сфере непознан-
ного» представлены разные по характеру лексические единицы: это и историзмы, и специальная лексика,
и стилистически отмеченные слова. В то же время непонятными оказываются слова, знание которых
студентами высших учебных заведений представляется естественным и необходимым (рутина, аморф-
ный, шовинизм и др.).
Экспериментально установлено, что в языковом сознании старшеклассников такие абстрактные
слова, как авторитет, варварство, взаимопонимание, демократия, ирония, мировоззрение, престиж,
ханжество, бдительность, такт и др., оказываются лишь частично освоенными. В ходе лингвистиче-
ского эксперимента зафиксировано большое количество ложно понимаемых лексических единиц, отно-
сящихся к социокультурной сфере (порядочность — «умение поддерживать чистоту и порядок», взаи-
мопонимание — «понятливость», интеллигентность — «хорошая легкая профессия» и т. п.), установле-
но, что в сознании целого ряда испытуемых не дифференцируются значения слов культура и культур-
ность, терпимость и терпеливость, общение и общительность, варварство и воровство и мн. др. Вы-
сокая степень непонимания лексических единиц, связанных со сферами этики, эстетики, духовной куль-
туры подтверждена и в процессе экспериментальных исследований лексикона студентов.
Лонгитюдный эксперимент, предусматривавший обследование словарного запаса студентов-
филологов I курса Российского государственного педагогического университета им. А. И. Герцена, про-
водился на протяжении 1994–2006 гг.; в последние годы экспериментальное пространство расширилось,
а результаты эксперимента пополнились данными о состоянии лексикона студентов разных факультетов
университета, а также некоторых других вузов Санкт-Петербурга. Студентам предлагалось проанализи-
ровать по две страницы «Толкового словаря русского языка» С. И. Ожегова и Н. Ю. Шведовой, распре-
делив слова по следующим группам: «знаю и употребляю» (активный словарь), «знаю, но не употреб-
ляю» (пассивный словарь), «не знаю, но могу догадаться о значении слова», «совсем не знаю значения
слова» (слова, которые непонятны или не вполне понятны).
Эксперимент, в котором в общей сложности участвовало более 10 000 студентов, свидетельствует
о том, что многим из них неизвестны значения большого числа слов, представленных в словаре. Нужно
отметить, что многие слова, отмеченные студентами как непонятные или не вполне понятные, часто
встречаются в публицистике, в учебной и научной литературе, не говоря о текстах отечественной клас-
ОБРАЗОВАНИЕ И РУССКИЙ ЯЗЫК
25
сической литературы. Отметим также, что порой студенты переоценивают собственное знание лексиче-
ских единиц, так как нередко частая встречаемость слова или его прозрачная внутренняя форма создают
кажущийся эффект знания семантики, однако в устной беседе выясняется полная неспособность опреде-
лить значение или условия функционирования лексической единицы.
Анализ работ студентов различных факультетов РГПУ им. А. И. Герцена позволил выявить неко-
торые группы слов в лексиконе студента, относящихся к «сфере непознанного» (еще раз подчеркнем, что
эти слова характеризуют индивидуальный лексикон). Ниже приводятся примеры этих слов.
Терминологическая и профессиональная лексика: вагранка, валёк, вальцовка, ватер-
пас, калориметр, магма, такелаж, рефрижератор, надкостница, цветоножка, центро-
бежный, центростремительный, инверсия, интерфейс, ирригация, омонимия, протоплаз-
ма; названия наук и разделов знаний: балканистика, бальнеология, бахчеводство, геронто-
логия, фармация; наименования бытовых предметов (в том числе предметов традиционного
народного быта) и конкретных действий: гардина, гантель, жёрнов, хомут, чан, баул, сад-
нить, ютиться; названия животных и рыб: вальдшнеп, павиан, сайда, сайра, салака, хряк;
названия деревьев и растений: агава, бальзамин, гелиотроп, палисандр, чага, шафран; на-
звания камней, строительных и художественных материалов, тканей, украшений, декора-
тивных элементов: авантюрин, аквамарин, асбест, ватин, гарус, канва, камея, мадаполам,
майолика, пакля, твид, аквамарин, асбест, баккара, батист, гарус, мадаполам, майолика;
названия продуктов и блюд: саго, рислинг, тартинка, балык, галета, лангет, аперитив,
мамалыга, пикули, рейнвейн; названия предметов одежды и обуви: башлык, жабо, танкет-
ки, ермолка, краги, онуча; названия различных народностей: мавританцы, мадьяры, мало-
россы, саами, саамы, самоеды, эвенки, эвены; понятия культуры и искусства: апокриф,
памфлет, кантата, пируэт, панегирик, мадригал, вакханка, па, палех, химера, чардаш, эзо-
повский, эклектика, эпикуреизм, экспозиция; научные и философские понятия: варьиро-
вать, галлицизм, ретроград, эгоцентризм, экзальтация, эклектик/эклектичный, экспан-
сия/экспансивный, эпатаж; явления общественной жизни и политические понятия: едино-
началие, мажоритарный, пакт, реформизм, хартия; понятия, относящиеся к области рели-
гии и церкви: евхаристия, кадило, паникадило, ризница, хоругвь, ладанка, аналой, анафема,
елей, епитимья, капуцин, катехизис, протопоп, пустынь, талмуд/талмудист; мифологиче-
ские понятия: вакханалия, вакханка, танталов (в составе фразеологизма танталовы муки),
химера; историзмы: гайдамак, маёвка, тачанка, хорунжий; архаизмы: гамаши, магометан-
ство, малороссы, ресторация, тать, ходатай, юдофоб, ангажемент, галло-
ман/галломания; устаревшая разговорная и просторечная лексика: маета, мазурик, панта-
лык (в составе фразеологизма сбить с панталыку).
Очевидно, что в приведенном списке представлены весьма различные слова, входящие в разные
зоны «непознанного».
Как уже отмечалось, большое число непонятных слов относится к заимствованной лексике. При-
страстие к заимствованиям часто соединяется в современной речи с непониманием заимствований при
восприятии и квазизнанием — при порождении. Приведем примеры неудачных попыток включения в
контекст предложенных преподавателем слов.
Задача декана курировать успеваемость студентов.
Россия и Япония заключили мораторий о мире.
Он не пользуется правом электората.
В электорате произошла смена персонала.
У людей появились права, характерные для электората.
Данный проект — очень хорошая протекция для нашей фирмы от конкурентов.
Публицистика — это, грубо говоря, жанр, не грузящий людей.
В его стихах часто встречалась бутафория.
Каламбур — это журнал юмористический.
Камерная музыка — это в нише возле сцены.
История, произошедшая вчера в мэрии, вызвала ошеломляющий пафос у горожан.
Абориген — древний человек.
Некролог — это научная статья.
Духовник играет в духовом оркестре.
Духовник — хозяин трактира на Востоке.
Демарш — это доклад.
Декада — это три месяца в году.
Речевой портрет современного студента…
53
Ликвидатор — это такой инструмент, механизм.
Эксперимент, проведенный среди студентов Санкт-Петербургского педагогического колледжа №
1 им. Н. А. Некрасова, а также среди студентов I курса факультета менеджмента и экономики Санкт-
Петербургского университета культуры и искусств показал, что достаточно частотные, постоянно вос-
производимые в средствах массовой информации заимствования для многих студентов оказываются не-
понятными. Так, значение слова тенденциозность более или менее адекватно понимает лишь 20% оп-
рошенных студентов, менталитет — 45%, кулуары — 26%, консилиум — 21,2%, цитадель — 24,8%,
толерантность — 24%, кворум — 7,3%. Во многих случаях наблюдается приблизительное знание, когда
усваиваются лишь некоторые компоненты значения или семантической структуры многозначного слова.
Приведем примеры объяснений студентами предъявленной лексики.
Консилиум — съезд депутатов; научное собрание; содружество, объединение людей с це-
лью решения какой-либо проблемы; встреча важных лиц по какому-либо вопросу; уче-
ный совет; собрание.
Консенсус — собрание государственных лиц; конечный результат переговоров; несогласо-
ванность, несошедшиеся точки зрения; обсуждение вопроса по определенной теме; ока-
зия, нечто неожиданное; собрание с обсуждением; принятие закона или обсуждение его.
Кулуары — темные углы, где передают секретную информацию; споры людей; приемные
комнаты; покои; очень ограниченное количество людей (кулуары власти); споры; что-то,
связанное с дворцом; место, имеющее историческую значимость; место для интимных
встреч.
Кворум — отсутствие согласия у договаривающихся сторон; запрет; прения в Гос. Думе —
принять кворум; съезд.
Камуфляж — багаж; подделка, обман; скрытие чувств, мыслей; макияж или внешний вид в
целом; игра, переодевание, смена костюмов; военная принадлежность.
Тенденциозность — система взглядов, терминов, тенденций; определенная наклонность;
определенная особенность течения явлений; совпадение мнений в обществе; признаки,
свойственные одному предмету; стремление к тенденциям; вариантность; запутанность,
определенная тезисность, порядок происходящих событий, стабильность, постоянное
увеличение или уменьшение.
Толерантность — беспринципность; способность к работе.
Цитадель — определенное место, где находится какой-то объект; исток, колыбель чего-то;
центр, важнейшее место где-л.; одинокое жилище, небогатое, милое, чистое; военная
операция; помещение в виде кельи; место обитания.
Спонтанный — сумбурный; необычный; неожиданный поворот событий; резкий, быстро
принимающий решения.
Реанимация — способ восстановления сердцебиения; госпитализация; срочная госпитали-
зация; поддержание жизнедеятельности; переходное состояние; экстренная доставка
больного в больницу; скорая помощь с крайними приемами помощи.
Реабилитация — привыкание к новым условиям; спасение в глазах окружающих; отдых
после болезни, приспособление; обоснование; постепенное привыкание.
Квинтэссенция — собрание философских идей; химическое вещество; соединение, со-
вмещение.
Дилетант — человек дела; обманщик; педант, утонченный тип; человек, избегающий чего-
л.; человек, делающий что-л. незаконное; человек, все знающий; человек, впервые что-то
делающий.
Менталитет — богатство словарного запаса каждого человека; словарный запас человека;
умственные способности; правительственный термин; определенный слой общества; ге-
ны; уровень развития, стиль правления; договор, соглашение; перемирие, нейтралитет;
сохранение нейтральности по отношению к кому-л.; независимость.
С полным незнанием или лишь частичным, неполным пониманием студентами слов и их значений
приходится сталкиваться при вербализации многих понятий из фундаментальных областей культуры
(например, базовых понятий традиционной национальной культуры). Слова эти низкочастотны, однако
нередко встречаются в русской классической литературе. Приведем примеры семантизации таких слов
студентами.
Язычник — человек, который занимается языками.
Звонница — человек, который звонит в колокол.
ОБРАЗОВАНИЕ И РУССКИЙ ЯЗЫК
45
Псарня — хлев; место, где живут овцы; стая собак; будка; конура; свора.
Елей — вид растения; сладкий напиток; в церкви жидкость, вино; мед; аромат.
Пасека — поле; пастбище; линия вырубки.
Мракобес — это когда человек бесится.
Второкурсникам филологического факультета РГПУ им. А. И. Герцена был предложен ряд слов,
представленных в «Толковом словаре русского языка» С. И. Ожегова и Н. Ю. Шведовой, в большинстве
случаев снабженных теми или иными пометами и имеющих низкую частотность по данным «Частотного
словаря русского языка» под ред. Л. И. Засориной. Требовалось включить предложенные слова в пара-
дигмы близких по значению лексических единиц. Полное непонимание значения предлагалось отметить
прочерком, если же при неотчетливой семантизации ассоциации все же возникали, их рекомендовалось
обозначить. В результате эксперимента выяснилось, что при попытках определить лексические связи
предложенной лексики видимая прозрачность внутренней формы, словообразовательной структуры сло-
ва часто является причиной недоразумений. Так, слово борзописец («человек, который пишет быстро,
наспех и поверхностно») связывается со словами чиновник, стенографист, секретарь, машинистка,
с одной стороны, и со словами негодяй, доносчик — с другой. Слово лихоимец («жадный вымогатель,
взяточник») на основе буквального понимания внутренней формы связывается со словами страдалец,
пострадавший, разоренный, неудачник.
Получены многочисленные ответы (например: нарты — игра, кровать, диван; ордина-
рец — знаменосец; панегирик — больной человек; плутократ — лжец, лицемер, вор, мошенник, плут;
провизор — ответственный человек, проверяющий, ревизор, чиновник, пророк, прорицатель, предска-
затель, заготовщик; шельф — запах, шарф; десница — глаз; башлык — мясо, сало; вензель — деталь,
возможно, из железа или каких-нибудь сплавов и мн. др.), свидетельствующие о полном непонимании
студентами представленных лексических единиц и о причинах ложных ассоциаций, связанных чаще все-
го с формальным сходством слов (башлык — балык, нары — нарты, шельф — шлейф).
Студентам II курса филологического факультета Герценовского университета было предложено
дать толкование словам, представленным в учебнике истории для 11 класса. Большинству студентов во-
обще незнакомы, например, слова консолидация, мандат, анклав. Многие не знают значений слов кон-
фронтация, шовинизм, электорат. Не меньшую тревогу вызывает кажущееся понимание лексических
единиц. Так, студентами были даны такие толкования:
Шовинизм — дискриминация, враждебный настрой против какой-либо социальной группы;
ущемление в правах кого-л.; течение, пропагандирующее превосходство мужчин над
женщинами; неравноправие мужчин и женщин, ущемление женщин; движение опреде-
ленной группы людей, придерживающихся определенных мнений; близко снобизму, вы-
сокомерию; принижение группы людей по какому-л. признаку (гендерному, сексуальной
ориентации и т. п.); знаю, но не могу сформулировать; увлечение чем-то не очень серь-
езным.
Электорат — какой-то правительственный государственный термин; что-то связанное с
выборами (м. б., выборное правительство); законодательный орган по выборам; орган
государственной власти; комиссия, следящая за проведением выборов; орган управле-
ния; аудитория, слушатели; люди, опрашиваемые по конкретному вопросу; выборный
орган в некоторых странах (США); возможно, связано с наукой, научными опытами и
деятельностью.
Парламент — орган исполнительной власти; один из органов правительства РФ; орган вла-
сти, состоящий из нескольких людей; объединение министров, представляющих власть;
часть правительства; часть правительства, работающая одновременно с главой государ-
ства.
В подобных ответах отчетливо прогнозируются будущие помехи при восприятии речи и неудачи
при ее порождении.
Совершенно очевидно, что лакуны в лексиконе современной молодежи являются существенным
препятствием при освоении ею образовательных маршрутов и представляют собой проблему большой
социальной значимости, поскольку незнание слов адресатом, отсутствие обязательной общности лекси-
конов, необходимой для успешной коммуникации, снимают эффективность речевого воздействия, ведут
к неадекватному речевому поведению, лишают возможности полноценно воспринимать и перерабаты-
вать поступающую в вербальной форме информацию.
Исходя из аксиоматичного положения о том, что словарь личности — ключ к ее социальному по-
ведению, к перспективам интеллектуального, духовного и профессионального роста, подчеркнем, что
Речевой портрет современного студента…
55
изменение соотношения единиц активного и пассивного словаря, перемещение непонятных, незнакомых
слов в ряд семантически освоенных лексических единиц, расширяющее возможности лексического вы-
бора, требует специальной работы и является первостепенной задачей гуманитарно-педагогического об-
разования.
```
18.09.2019 Римонди Джорджия Современная парадигма преподавания и изучения русского языка как иностранного в России и Италии
[ext[ссылка dis |http://mpgu.su/wp-content/uploads/2019/06/%D0%B4%D0%B8%D1%81%D1%81%D0%B5%D1%80%D1%82_Rimondi-G.pdf]]
В-третьих, следует отметить различие в тенденцияхразвития психолингвистических исследований. На Западе уже с 1980 г. исследования следуют за нейропсихологической теорией, начатой Г. Гарднер в работе «FramesofMind. TheTheoryofMultipleIntelligence» (1983 г.), где было предложеносочетание биологической и когнитивной сфер. При применении теории «множественного интеллекта» к психолингвистикеобнаруживается, что она обеспечивает отправную точку для эпистемологического пересмотра лингвистики вообще. Гарднер опирается на вклад нейробиологии, которая создала экспериментальную основу для изучения процессов усвоения языка. На практическом уровне теория Гарднера позволяет пересмотреть способы, стратегии и средства преподавания и изучения, размещая в центре образовательной деятельности не просто учащегося, а «учащегося, который думает», чьи эмоционально-мозговые процессы стали новыми направлениями в понимании психолингвистических структурв процессеизучениявторого языка. Внимание, которое уделяется индивидуальнымпроцессам усвоения языка,также лежит в основе теорий'' языковой личности ''Ю.Н. Караулова и двуязычной личности Р. Титоне.
[[rdz_dis_s53_2]]
К тому же интересно отметить, что межкультурная коммуникативнаяк омпетенция является показателем сформированности вторичной языковой личности. Словосочетание«языковая личность» ввел В.В. Виноградов[10], но термин не носил строго терминологического характера. Осмысление понятия языковой личности происходит начиная с 80-х гг. И.Г. Богин определил языковую личность следующим образом: «Языковая личность -тот, кто присваивает язык, то есть тот, для кого язык есть речь. Языковая личность характеризуется не столько тем, что она знает о языке, сколько тем, что она может с языком делать»[6, с. 3]. В 1989г.Ю.Н. Караулов выделял три уровня языковой личности: вербально-семантический (повседневной язык), логико-когнитивный (идеи и понятия, отражающие миропонимание говорящего) и уровень деятельностно-коммуникативных потребностей.«Вторичной личностью», понимаемой как«личностью, приобщенной к культуре народа, язык которого изучается»[17, с. 70], занималась И.И. Халеева, которая рассматривала ее как одну из главных целей в преподавании и изучении иностранного языка.
[[rdz_dis_s68_2]]
Языковая личность стала объектом внимания лишь в последние годы в связи с изменением парадигмы в лингвистических исследованиях[25]. В настоящее время она рассматривается как одно из ключевых понятий лингводидактики. Ее понимание в качестве системообразующего фактора образовательного процесса по иностранному языку позволило по-новому подойти к обоснованию основных методических категорий и новых
[[rdz_dis_s68_3]]
методологических подходов. И профессиональная лингводидактика призвана выявить ее содержание –компонентный состав новой модели языковой личности. По И.И. Халеевой [84],формирование вторичной языковой личности –главная цель образовательного процесса по иностранному языку [202, с. 45]. Отметим, что понятие вторичной языковой личности во многом напоминает концепцию двуязычной личности Р.Титоне.
[[rdz_dis_s69_1]]
Роль профессионально-ориентированной среды в формировании языковой личности студентов в вузе
Иванова Ю.Н.
Педагогический журнал. 2015. № 4-5. С. 51-68.
*[ext[ссылка|https://elibrary.ru/item.asp?id=19000571]]
*[ext[ссылка Internet 1|http://www.publishing-vak.ru/archive-2015/pedagogics-4-ivanova.htm]]
*[ext[ссылка Internet 2|http://www.publishing-vak.ru/file/archive-pedagogy-2015-4/3-ivanova-yuliya.pdf]]
*[ext[ссылка локальная|D:\TRab\2020\02\20200205\elibrary_19000571_60510690.pdf]]
[ext[ссылка|https://cyberleninka.ru/article/n/rol-yazyka-v-konstruirovanii-realnosti]]
10.03.2020 Романов Александр Сергеевич Стереотипизация как феномен функционирования субкультурных констант американского (США) военного социума (на материале английского языка) Докторская
[ext[ссылка dis|https://vumo.mil.ru/upload/site57/document_file/xkWOs5aFQi.pdf]]
{{ras_ds_s221_2}}*[[ras_ds_s221_2]]
[ext[ссылка|http://npsyj.ru/]]
ЯЗЫКОВАЯ ЛИЧНОСТЬ Ф.М. ДОСТОЕВСКОГО: ЛЕКСИКОГРАФИЧЕСКОЕ ПРЕДСТАВЛЕНИЕ автореферат
[ext[ссылка|https://docviewer.yandex.ru/view/44297129/?page=1&*=wtM22hVBmi%2BQdgjBSNovuqza%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%3D&lang=ru]]
Диссертация
[ext[ссылка|https://yadi.sk/i/3D2MfhQ1yhgDAA]]
[ext[ссылка в библиотеку|file:///D:/BI/dis_ruzhitskiy_iv.pdf]]
06.04.2019 Рузиева Лола Толибовна Прецедентно -значимые тексты как когнитивный компонент культуры народа в системе обучения русскому языку в неязыковом вузе в лингвокультуроведческом аспекте Докторская
[ext[ссылка dis|https://tnu.tj/Dissertatsii/RuzievaLT/RuzievaLT.pdf]]
В качестве теоретической основы настоящего исследования мы выбрали концепцию «прецедентных феноменов», разработанных учеными В.В.Красных, Д.Б.Гудковым, И.В.Захаренко, Д.В.Багаевой. Знакомство с их работами показало, что они развили идею известного русского лингвиста Ю.Н.Караулова относительно сущности и природы прецедентного текста, понимаемый шире, чем сам текст. В результате, к прецедентным текстам они отнесли следующие феномены:
1. значимые тексты когнитивно-эмоциональной окраски, имеющие конкретный адресат для языковой личности;
[[rlt_dis_s8_4]]
2. значимые тексты,имеющие масштабный адресат, доступные и известные широкому кругу коллег, единомышленников, соратников и близких из числа языковой личности;
3.значимые тексты собращением, имеющим когнитивно-коммуникативную ценность в речи языковой личности.
[[rlt_dis_s9_1]]
*[ext[ссылка|http://tw5rudoc.tiddlyspot.com/]]
* [[Шишкин]]
* [[Русификация документации]]
! Русский язык и языковая личность
[ext[ссылка|978-5-382-01071-7.pdf]]
[ext[ссылка Internet|https://yadi.sk/i/oFCk2_Ti_leFUg]]
''978-5-382-01071-7''
[[ред 29|Караулов стр. 29]]
{{Караулов стр. 29}}
[[ред 36|Караулов стр. 36]]
{{Караулов стр. 36}}
[[ред 38|Караулов стр. 38]]
{{Караулов стр. 38}}
Что определяется с помощью лингводидактики [[ред 39|Караулов стр. 39]]
{{Караулов стр. 39}}
[img[схема 1.png]]
Почему ниже ''готовность''[[ред 59|Караулов стр. 59]]
{{Караулов стр. 59}}
[[ред 60-62|Караулов стр. 60]]
{{Караулов стр. 60}}
[[ред 89|Караулов стр. 89]]
{{Караулов стр. 89}}
[[ред 91|Караулов стр. 91]]
{{Караулов стр. 91}}
[[ред 92|Караулов стр. 92]]
{{Караулов стр. 92}}
[[ред 96|Караулов стр. 96]]
{{Караулов стр. 96}}
[[ред 98|Караулов стр. 98]]
{{Караулов стр. 98}}
[[ред 89|Караулов стр. 89]]
{{Караулов стр. 89}}
!!О категориях гипертекста
[ext[ссылка|https://medialing.ru/o-kategoriyah-giperteksta/]]
''Описание цели, задач, методики исследования''. Цель статьи — систематизация категорий гипертекста в сравнении с категориями текста на основе логического, лингвистического и дискурсивного анализа гипертекстовых массивов. Категоризация — неотъемлемая часть лингвистического исследования, это понятие восходит еще к Аристотелю. Установление категорий гипертекста проводится методом понятийного анализа замкнутой системы значений универсальных признаков безотносительно к способу выражения в конкретном языке. Методом интерпретации и контекстуального анализа с применением лингвистического обобщения устанавливаются классифицирующие категории гипертекста, которые включают семантико-синтаксические, продуктивно-креативные, рецептивно-интерпретационные и организационно-композиционные дифференциальные признаки. Модифицирующие категориальные признаки анализируются на основе оппозиции с традиционным текстом.
Чем менее значимо линейное развитие сообщения, тем меньше значение пресуппозиции: отсутствующее фоновое знание читателя восполняется реферативно-отсылочным аппаратом гипертекста. @@color:red; Доступность восполнения информационных лакун путем активации аппарата ссылочных связей есть проявление дидактических свойств гипертекста как обучающей системы. Минимизация пресуппозиции, экспликация смыслов за счет активации гиперссылок и доступности больших массивов вербальной информации позволяют широко использовать гипертекст в целях обучения и самообразования. Это ценное свойство можно назвать ''категорией дидактичности'', или прагматической ценности гипертекста@@.
Таблица. Основные категории текста и гипертекста
| ''Типовые категории'' | ''Основные категории текста'' | ''Основные категории гипертекста'' |
|Содержательные (системные) |Информационная насыщенность (принцип количества) |Содержательный изоморфизм (принцип экстраполяции) |
| |Смысловая цельность |Многоуровневая семантическая иерархия |
|Формальные (структурно-строевые) | Формальная связность близких денотатов | Сетевая связность разноудаленных денотатов |
| |Линейность пространственно-временного развития |Нелинейность (принцип вариантности пространственно-временного развития) |
| |Членимость (абзацная структура) |Фрагментарность (гипотекстовая структура) |
| |Конечность |Структурный изоморфизм (принцип асимметрии) |
| |Реальный (бумажный) формат |Виртуальность (электронный формат) |
|Функциональные |Модальность |Интерактивность |
|Прагматические |Информационная полезность |@@color:red; Дидактичность@@ (прагматическая ценность) |
| |Информационная компрессия |Информационная экстраполяция |
| |Креолизация |Мультимедийность |
Структурно-семантическая и функциональная специфика военной авиационной инженерной терминологии
[ext[ссылка|https://new-disser.ru/_avtoreferats/01000182098.pdf]]
[[Термины]]
| [[Са]] | [[Сб]] | [[Св]] | [[Се]] | [[Си]] | [[Сл]] | [[См]] | [[Сн]] | [[Со]] | [[Сп]] | [[Ср]] | [[Сс]] | [[Ст]] | [[Сц]] | [[Су]] |
* [ext[Авторский материал|http://x919232q.bget.ru/wp-content/uploads/2020/08/st6.html]]
* [ext[TiddlyWiki|https://tiddlywiki.com/]]
* [[Антиплагиат]]
* [ext[Переводчик|https://translate.google.ru/]]
* [ext[Multitran|https://www.multitran.com/]]
* [ext[ Google Books Ngram Viewer|https://books.google.com/ngrams#]]
* [ext[Google Trends|https://trends.google.ru/trends/?geo=RU]]
* [ext[wordstat.yandex.ru|https://wordstat.yandex.ru/]]
* [ext[Таблицы цветов|https://yandex.ru/search/?clid=2186620&text=%D1%82%D0%B0%D0%B1%D0%BB%D0%B8%D1%86%D1%8B%20%D1%86%D0%B2%D0%B5%D1%82%D0%BE%D0%B2%20html&lr=193&redircnt=1593420512.1]]
* [ext[Сайт1|http://x919232q.bget.ru]]
---
!!! Поисковы системы и библиотеки
* [ext[Ленинка|https://search.rsl.ru/ru/catalog#ltr=%D0%A1&st=author]]
* [ext[Киберленинка|https://cyberleninka.ru]]
* [ext[elibrary|https://elibrary.ru/]]
* [ext[библиотека ПНИПУ|https://elib.pstu.ru/]] Пермский национальный исследовательский политехнический университет
* [ext[Национальная электронная библиотека |https://rusneb.ru.]]
* [ext[Вивальди|https://vivaldi.nlr.ru/]]
* [ext[Библиотека авторефератов и диссертаций по педагогике|http://nauka-pedagogika.com/]]
*[ext[ссылка platona.net|https://platona.net/load/knigi_po_filosofii/2]]
*[ext[национальная педагогическая энциклопедия|https://didacts.ru/]]
---
!!! Диссертации
* [ext[ссылка ВАК|https://vak.minobrnauki.gov.ru/main]]
* [ext[ссылка Диссерткат|https://www.dissercat.com]]
* [ext[ссылка dislibnet|http://www.dslib.net]]
* [ext[ссылка new-disser |https://new-disser.ru]]
* [ext[ссылка Библиотека диссертаций и рефератов|https://freereferats.ru/]]
* [ext[ссылка Уральский ГПУ ар и дисс|http://science.uspu.ru/index.php/d-212-283-05/item/8-d-212-283-05]]
* [ext[ссылка СКФУ|https://dspace.ncfu.ru/handle/20.500.12258/3684]]
[ext[ссылка|http://www.pgsga.ru/research/samara-scientific-journal/]]
Пивкин С.Д. Самореализация языковой личности переводчика в системе дополнительного профессионального образования
[ext[ссылка диссертация pdf локально|file:///D:/BI/dis_pivkin_sd.pdf]]
[ext[ссылка диссертация docx локально|file:///D:/BI/dis_pivkin_sd.docx]]
* {{psd_dis_s64_2}}*[[psd_dis_s64_2]]
* {{psd_dis_s64_3}}*[[psd_dis_s64_3]]
* {{psd_dis_s65_1}}*[[psd_dis_s65_1]]
* {{psd_dis_s65_2}}*[[psd_dis_s65_2]]
! Психологи
*[ext[ссылка|http://www.rd.uniyar.ac.ru/upload/iblock/1eb/Dissertatsiya-Fedorishina-M.I..pdf]]
*[ext[ссылка|http://www.rd.uniyar.ac.ru/upload/iblock/6ec/L.-N.-Babintseva.pdf]]
*[ext[ссылка|http://avtoref.mgou.ru/new/d212.155.15/Pikanina/diss.pdf]]
*[ext[ссылка автореферат|https://vak.minobrnauki.gov.ru/az/server/php/filer_new.php?table=att_case&fld=autoref&key[]=100016631&version=100]]
*[ext[ссылка|http://www.psy.msu.ru/science/autoref/titova/titova_diss.pdf]]
*[ext[ссылка|http://www.psy.msu.ru/science/autoref/luzyanina/luzyanina_diss.pdf]]
*[ext[ссылка|https://vak.minobrnauki.gov.ru/az/server/php/filer_new.php?table=att_case&fld=autoref&key[]=136359&version=100]]
*[ext[ссылка|https://new-disser.ru/_avtoreferats/01005517254.pdf]]
! Педагогическая психология
*[ext[ссылка|https://kemsu.ru/upload/iblock/279/279ce91c4fcc85ab5a76466b879dd8f7.pdf]]
*[ext[ссылка|http://d09.kemsu.ru/Content/AdvertAttachedFiles/9c31978e76524b6c.pdf]]
*[ext[ссылка|www.psy.msu.ru/science/autoref/luzyanina/luzyanina_diss.pdf]]
*[ext[ссылка|https://new-disser.ru/_avtoreferats/01005464612.pdf]]
! Педагоги
*[ext[ссылка|http://mpgu.su/wp-content/uploads/2019/03/%D0%94%D0%B8%D1%81%D1%81%D0%B5%D1%80%D1%82%D0%B0%D1%86%D0%B8%D1%8F-%D0%9A%D0%BE%D1%80%D1%82%D1%83%D0%BD%D0%BE%D0%B2-%D0%93.%D0%9C..pdf]]
*[ext[ссылка|https://new-disser.ru/_avtoreferats/01005513393.pdf]]
!!Сахарова Анна Владимировна
* [[ФОРМИРОВАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ: СОЦИАЛЬНО-ФИЛОСОФСКИЙ АСПЕКТ]]
* [[Перспективы раннего формирования вторичной языковой личности в ситуации искусственного билингвизма: социальный аспект]]
Сахарова Анна Владимировна Формирование языковой личности: социально-философский аспект
[ext[ссылка автреферат|https://vak.minobrnauki.gov.ru/az/server/php/filer_new.php?table=att_case&fld=autoref&key[]=100019492&version=100]]
[[Диссертация]]
* Яговкин В.И. Разработка интерактивных тренажерных комплексов для освоения компетенций на основе предметных онтологий [ext[ссылка в библиотеку|file:///D:/BI/a_yagovkin_vi.pdf]] Специальность 05.13.06
* Дашеев Д. Е.вгеньевичАвтоматизированная образовательная система как средство формирования профессиональных компетенций будущих инженеров [ext[ссылка в библиотеку|file:///D:/BI/dis_dasheev_de.pdf]]
* Девришева А.Е. Образовательная среда как фактор совершенствования профессиональной подготовки переводчиков [ext[ссылка в библиотеку|file:///D:/BI/dis_devrisheva_ae.pdf]]
* Цепилова А.В. Интеграция профессиональной и иноязычной коммуникативной компетенций будущих инженеров в вузе [ext[ссылка в библиотеку|file:///D:/BI/dis_cepilova_av.pdf]]
* Ганжа Н.В. Развитие профессиональных компетенций у обучающихся в системе повышения квалификации на основе синергетической модели преподавания технических дисциплин в вузе [ext[ссылка в библиотеку|file:///D:/BI/dis_ganzha_nv.pdf]]
* Гулк Е.Б. Развитие коммуникативной компетенции студентов инженерных специальностей в процессе изучения психолого-педагогических дисциплин [ext[ссылка в библиотеку|file:///D:/BI/dis_gulk_eb.pdf]]
* Баннов В.В. Формирование готовности курсантов к самоконтролю учебно-профессиональной деятельности в образовательном процессе военного вуза [ext[ссылка в библиотеку|file:///D:/BI/dis_bannov_vv.pdf]]*
* Казакова М.А. Андрагогическое взаимодействие субъектов образовательного процесса профессиональной переподготовки педагогических работников [ext[ссылка в библиотеку|file:///D:/BI/dis_kazakova_ma.pdf]]
* Ломоносова Н.В. Система смешанного обучения в условиях информатизации высшего образования [ext[ссылка в библиотеку|file:///D:/BI/dis_lomonosova_nv.pdf]]
* Белова Е.Н. Становление и развитие сетевой самообучающейся организации дополнительного профессионального образования [ext[ссылка в библиотеку|file:///D:/BI/dis_belova_en.pdf]]
* Кугуракова В.В. Математическое и программное обеспечение многопользовательских тренажеров с погружением в иммерсивные виртуальные среды 05.13.11 [ext[ссылка в библиотеку|file:///D:/BI/dis_kugurakova_vv.pdf]]
* Теркулова И.Н. Цифровая среда как педагогическое условие позитивной социализации обучающихся во франкоговорящих странах (Франция, Канада) [ext[ссылка в библиотеку|file:///D:/BI/dis_terkulova_in.pdf]]
* Асанова С.А. Лингвометодические тренажеры в системе электронных средств обучения РКИ [ext[ссылка в библиотеку|file:///D:/BI/dis_asanova_sa.pdf]]*[ext[автореферат|file:///D:/BI/a_asanova_sa.pdf]]
* Голуб В.В. Методология моделирования пространства непрерывного военно-профессионального образования [ext[ссылка в библиотеку|file:///D:/BI/dis_golub_vv.pdf]]
* Вайндорф-Сысоева Марина Ефимовна Многоуровневая подготовка педагогических кадров к профессиональной деятельности в условиях цифрового обучения [ext[ссылка в библиотеку|file:///D:/BI/dis_vindof-sisoeva_me.pdf]]
* Булыгина Е.В. Лингвометодическая модель электронного тренажера для подготовки к сертификационному тестированию по РКИ (уровень В1) [ext[ссылка в библиотеку|file:///D:/BI/dis_buligina_ev.pdf]]
* Магомедова З.И. Формирование профессионально-ориентированной креативности будущих инженеров в условиях поликонтекстного обучения [ext[ссылка в библиотеку|file:///D:/BI/dis_magomedova_zi.pdf]]
* Мальсагов А.А. Нейродидактические основания обучения взрослых [ext[ссылка в библиотеку|file:///D:/BI/dis_malsagova_aa.pdf]]
* Панарина С.С. Педагогические условия организации совместной учебной деятельности взрослых в системе дополнительного профессионального образования [ext[ссылка в библиотеку|file:///D:/BI/dis_panarina_ss.pdf]]
* Ступина М.В. Формирование компетентности студентов в области использования инструментальных средств разработки информационных систем с применением облачных технологий (на примере подготовки будущих бакалавров-разработчиков информационных систем) [ext[ссылка в библиотеку|file:///D:/BI/dis_stupina_mv.pdf]]
---
*Чухлебова И.А. Дидактическая система многоуровневой речевой подготовки иностранных военнослужащих в вузах министерства обороны Российской Федерации [ext[ссылка в библиотеку|file:///D:/BI/dis_chuhlebova_ia.pdf]]
* Мишина В.И. Непрерывная система обучения речевой культуре студентов гуманитарных вузов. [ext[ссылка в библиотеку|file:///D:/BI/dis_mishina_vi.pdf]]
* Клушина Е.А. Билингвальная подготовка как фактор формирования готовности магистрантов социальной работы к профессиональной мобильности [ext[ссылка в библиотеку|file:///D:/BI/dis_klushina_ea.pdf]]
* Макарова О.А. Реализация ситуационного подхода к формированию профессиональной компетентности будущих юристов в вузе (на примере иностранного языка) [ext[ссылка в библиотеку|file:///D:/BI/dis_makarova_oa.pdf]]
* Сизова Е.В. Педагогические особенности подготовки будущих учителей биологии к работе по формированию метапредметных результатов обучающихся основной школы средствами смыслового чтения [ext[ссылка в библиотеку|file:///D:/BI/dis_sizova_ev.pdf]]
---
*Филиппов В. О. Языковая концептуализация сред [ext[ссылка|https://new-disser.ru/_avtoreferats/01005477859.pdf]]
*Бурвикова Е.В. Обучающая языковая среда в гендерном аспекте [ext[ссылка|https://new-disser.ru/_avtoreferats/01005522754.pdf]]
*Андреева Наталья Владимировна Обучение аудированию в условиях реальной и виртуальной языковой среды [ext[ссылка|http://dissovet.rudn.ru/web-local/prep/rj/index.php?id=21&mod=dis&dis_id=2600]]
* Орехова, Ирина Александровна [ext[ссылка|https://viewer.rusneb.ru/ru/000199_000009_004306586?page=1&rotate=0&theme=white]]
*Березовская Я. Организационный дискурс коммерческих фирм [ext[ссылка|https://new-disser.ru/_avtoreferats/01005381998.pdf]]
''Сведения об авторах:''
ПОГОРЕЛАЯ Нина Григорьевна
e-mail: npogorelaia@yandex.ru
Старший преподаватель кафедры иностранных языков, лингвистики и перевода, Пермский национальный исследовательский политехнический университет (Пермь, Российская Федерация)
17.05.2019 Седых Дина Викторовна Педагогическое обеспечение процесса обучения студентов вуза в полилингвальной образовательной среде 13.00.08.
[[Автореферат|sdv_ar]]
[ext[ссылка автореферат интернет |https://vak.minobrnauki.gov.ru/az/server/php/filer_new.php?table=att_case&fld=autoref&key[]=100039011&version=100]]
[[Диссертация|ДиссертацияСедыхДВ]]
[ext[ссылка в библиотеку|file:///D:/BI/dis_sedih_dv.pdf]]
[ext[ссылка интернет 1|https://kemsu.ru/upload/iblock/2d2/2d2341407f9558d2a3d7f1641e608a41.pdf]]
[ext[Аспекты изучения языковой личности|https://allrefrs.ru/3-10176.html]]
[ext[ссылка|http://sp-journal.ru/]]
Публикация статей в журнале и доставка журнала авторам осуществляется на основании договора об оказании услуг по редакционной подготовке, доведении текста до требуемых редакторских стандартов, принятых в журнале. Извещение о благотворительном взносе высылается автору только после того, как по итогам рецензирования принято положительное решение о возможности публикации представленной статьи.
[ext[ссылка|https://dspace.ncfu.ru/bitstream/20.500.12258/5496/1/%d0%a1%d0%b8%d0%b7%d0%be%d0%b2%d0%b0%20%d0%95.%d0%92.%20%202018%20.pdf]]
[ext[ссылка|https://vak.minobrnauki.gov.ru/az/server/php/filer_new.php?table=att_case&fld=autoref&key[]=100039169&version=100]]
*[ext[ссылка словари для скачивания|http://www.speakrus.ru/dict/]]
* [[Тезаурус]]
* [[Жеребило Т.В.]]
*[ext[Педагогический словарь Загвязинский В.И.|https://drive.google.com/file/d/0B6xhkmsz1gLLd2laczNVZTdrOGM/view]]
*[ext[Словарь Азимова|http://linguistics-online.narod.ru/olderfiles/1/azimov_e_g_shukin_a_n_novyy_slovar-21338.pdf]]
[[Смыкунова Н.В.]]
Смыкунова Н.В. [[Прецедентные феномены в речевом общении русской языковой личности и процессе обучения русскому языку как иностранному]]
[[snv_ar 1]]
ПРЕЦЕДЕНТНЫЕ ФЕНОМЕНЫ В РЕЧЕВОМ ОБЩЕНИИ РУССКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ И ПРОЦЕССЕ ОБУЧЕНИЯ РУССКОМУ ЯЗЫКУ КАК ИНОСТРАННОМУ Смыкунова Н.В. диссертация на соискание ученой степени кандидата педагогических наук / Москва, 2003 13/00/02
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=835882]]*[ext[ссылка 2|https://new-disser.ru/_avtoreferats/01002614756.pdf]]
{{snv_ar_s4_1}}*[[snv_ar_s4_1]]
{{snv_ar_s5_2}}*[[snv_ar_s5_2]]
{{snv_ar_s5_3}}*[[snv_ar_s5_3]]
[ext[ссылка|https://www.journal.rbiu.ru/article/]]
|Обязательный платёж |>|
| Публикация статьи | 6000 руб. за статью* |
| Публикации аспирантов очного отделения | бесплатно** |
| Рецензия | 600 руб. |
[ext[ссылка|http://www.nauteh-journal.ru/index.php/ru/m/41]]
8500 (Восемь тысяч пятьсот) рублей 00 копеек за статью до 15 страниц
Вершинина Н.А., Загузов Н.И., Писарева С.А., Тряпицына А.П. Современное диссертационное исследование по педагогике: Оценка качества: Книга для эксперта. - Саратов: Саратовский государственный социально-экономический университет, 2006. – 288с.
ISBN 5-87309-651-1
*[ext[ссылка в библиотеку|file:///D:/BI/5-87309-651-1.pdf]]
[ext[ссылка|http://sitito.cs.msu.ru/index.php/SITITO]]
Сопроводительные документы к научной статье:
· для аспирантов очной формы обучения: статус аспиранта должен быть подтвержден справкой об учебе в аспирантуре, заверенной подписью руководителя организации и печатью (в сканированном виде). Плата за редакционно-издательские услуги с аспирантов не взимается. Редакция не предоставляет аспирантам авторских экземпляров журнала. Если авторы из числа аспирантов хотят гарантированно получить журнал со своей статьей, то им необходимо оформить подписку на минимальный период.
Квитанции на оплату подписки на журнал высылаются только после рецензирования рукописи.
[ext[ссылка|https://top-technologies.ru/ru/page/index]]
5. ОПЛАТА ИЗДАТЕЛЬСКИХ РАСХОДОВ
6800 руб. – для авторов при предоставлении статей и сопроводительных документов в редакцию через сервис «Личный портфель» (одна страница 850 рублей);
7800 руб. – для авторов при предоставлении статей и сопроводительных документов в редакцию по электронной почте без использования сервиса «Личный портфель» (одна страница 975 рублей);
8800 руб. – при оплате издательских расходов организациями (одна страница 1100 рублей). Обязательным условием при этом является оформление финансовых документов. Для оформления финансовых документов для оплаты издательских расходов от организаций просим предоставлять ФИО директора или иного лица, уполномоченного подписывать договор, телефон (обязательно), реквизиты организации.
[ext[ссылка|https://science-education.ru/]]
Современный русский язык : учеб. для студ. вузов, обучающихся по спец. «Филология» / П. А. Лекант, Е. И. Диброва, Л. Л. Касаткин и др. ; под ред. П. А. Леканта. — 4-е изд., стереотип. — М. : Дрофа, 2007. — 557, [3] с.
ISBN 978-5-358-01658-3
*[ext[ссылка в библиотеку|file:///D:/BI/978-5-358-01658-3.pdf]]
*[ext[ссылка в библиотеку|file:///D:/BI/978-5-358-01658-3.docx]]
*[ext[ссылка в библиотеку|file:///D:/BI/978-5-358-01658-3.djvu]]
[ext[ссылка|http://su-journal.ru/'''']]
Для всех категорий авторов публикация – 6500 рублей / статья до 15 страниц, 8500 рублей /статья до 20 страниц.
Рисунки/таблицы оплачиваются отдельно – 200 рублей / шт.
ГЛАВА 1. Концептуальные основы формирования поликультурной языковой личности в процессе обучения иностранным языкам в условиях глобального общества.
1.1. Сущность теории языковой личности в лингвометодическом аспекте
1.2. Поликультурная специфика процесса глобализации и его влияние на изменение целей обучения иностранным языкам.
1.3. Характеристика компетентностного подхода в методике обучения иностранным языкам.
Выводы по первой главе
ГЛАВА 2. Поликультурная языковая личность в системе целсполагания содержание, структура.
2.1. Содержание понятия поликультурная языковая личность
2.2. Компоненты структуры поликультурной языковой личности
2.2.1. Поликонцептуальная компетентность.
2.2.1.1.Компетенция в сфере универсальных культурных концептов
2.2.1.2. Компетенция в сфере этнокультурных концептов.
2.2.1.3. Компетенция в сфере социокультурных концептов
2.2.1.4. Компетенция в сфере индивидуально культурных концептов
2.3.2. Полилингвистическая компетентность
2.3.2.1. Лингвистическая компетенция в сфере английского языка как языка глобальной коммуникации.
2.3.2.2. Лингвистическая компетенция в сфере нескольких иностранных языков
2.3.3. Коммуникационнотехнологическая компетентность
2.3.3.1. Компетенция в сфере современных информационных и коммуникационных технологий
2.3.3.2. Компетенция в сфере особенностей коммуникации, осуществляемой в Интернетсреде.
Выводы по второй главе
ГЛАВА 3. Психологическая, лингвистическая и культурологическая специфика Интернеткоммуникации как средства формирования пол и культурной языковой личности
3.1. Понятие Интернеткоммуникации
3.2. Психологические особенности коммуникации в Интернетсреде
3.3. Лингвистические особенности Интернеткоммуникации
3.3.1. Общая характеристика Интернетдискурса как структурной единицы Интернеткоммуникации.
3.3.2. Расплывчатость границ между письменным и устным типами Интернетдискурса
3.3.3. Интенсивность дискурсивных образований в Интернете.
3.3.4. Интернетсреда как среда языкового существования.
3.4. Поликультурная специфика жанров Интернетдискурса
3.4.1. сайты
3.4.2. Асинхронные конференции
3.4.3. Синхронные конференции.
3.4.4. Электронная почта
3.5. Использование культурологического аспекта Интернеткоммуникации в
современной системе обучения иностранным языкам.
Выводы по третьей главе.
ГЛАВА 4. Методическая система формирования поликультурной языковой личности в процессе обучения иностранным языкам.
4.1. Общие вопросы теории методических систем.
4.2. Компоненты методической системы формирования поликультурной языковой личности
4.2.1. Целевой компонент методической системы
4.2.2. Принципы формирования поликультурной языковой личности
4.2.2.1.Принцип познания и учета концептосфер разных культур
. Принцип интеграции обучения и реальной коммуникации с представителями поликультурного мира
4.2.2.3. Принцип сочетания глобальности и самобытности
4.2.2.4. Принцип автономии и самостоятельности личности в обучении.Л
4.2.2.5. Принцип проблемноориентированного познания
4.3. Содержательный компонент методической системы
4.4. Система упражнений, направленных на формирование компонентов структуры поликультурной языковой личности на основе персональной vстраницы.
4.5. Процессуальный компонент методической системы
4.5.1. Технология сопоставительного концептуального анализа.
4.5.2. Технология интерактивного обучения.
4.5.3. Технология языковой портфель.
Выводы по четвертой главе.
ГЛАВА 5. Методика экспериментального обучения, направленного на формирование поликультурной языковой личности.
5.1. Результаты разведывательного эксперимента
5.2. Задачи основного эксперимента
5.3. Этапы формирования поликультурной языковой личности в процессе экспериментального обучения иностранным языкам.
5.3.1. Подготовительный этап.
5.3.2. Этан интерактивного обучения
5.3.3. Этап самостоятельной поисковой и исследовательской деятельности на основе различных жанров Интернетдискурса
5.3.4. Этап творческого представления результатов самостоятельной деятельности.
5.4. Анализ результатов экспериментального обучения показатели и уровни сформированности компетентностей в структуре поликультурной языковой
личности
*[ext[ссылка в библиотеку|file:///C:/Users\nsa\Documents\Dis4]]
*[ext[ссылка в библиотеку|file:///C:/Users\nsa\Documents\Dis4\s008.PNG]]
* ГЛАВА 1. ЛИНГВОРИТОРИЧЕСКИЙ ИДЕАЛ КАК ПЕДАГОГИЧЕСКАЯ КАТЕГОРИЯ И ОСНОВА ПРОФЕССИОНАЛЬНОГО СТАНОВЛЕНИЯ БУДУЩЕГО УЧИТЕЛЯ
* 1.1. Лингвориторический идеал как педагогическая категория, его сущностные признаки и функции
* 1.2. Теоретическая разработанность проблемы формирования речемыслительной культуры учителя в аспекте лингвориторического идеала
* 1.3. Лингвориторический идеал как проектная основа становления профессиональной языковой личности будущего учителя
* ГЛАВА 2.11РОЕКТИРОВАНИЕ ПРОЦЕССА ФОРМИРОВАНИЯ ГОТОВНОСТИ СТУДЕНТОВ К РЕЧЕВОМУ САМОСОВЕРШЕНСТВОВАНИЮ НА ОСНОВЕ ЛИНГВОРИТОРИЧЕСКОГО ИДЕАЛА
* 2.1. Моделирование процесса формирования готовности студентов к речевому самосовершенствованию на основе лингвориторического идеала
* 2.2. Разработка содержания процесса формирования готовности студентов к речевому самосовершенствованию и особенности его реализации
* 2.3. Ход и результаты опытно-зкспериментальной работы
* ЗАКЛЮЧЕНИЕ
* ВВЕДЕНИЕ.
* Глава I. Лингвометодические основы формирования коммуникативной культуры вторичной языковой личности иностранных студентов-филологов в процессе обучения русскому языку.
* 1.1. Лингвометодическая значимость формирования и развития коммуникативной культуры вторичной языковой личности иностранных студентов-филологов в процессе обучения русскому языку.
* 1.1.1. Структура языковой личности в лингвометодическом аспекте
* 1.1.2. Коммуникативная культура и ее значение в организации процесса обучения русской речи иностранных студентов как вторичной языковой личности
* 1.2. Диалог как объект лингвистических исследований и как основная единица обучения русскому языку иностранных студентов-филологов в процессе формирования коммуникативной культуры
* 1.2.1. Речевая ситуация, диалог и формирование коммуникативной культуры вторичной языковой личности иностранных студентов-филологов.
* 1.2.2.Лингвометодическая характеристика диалога.
* 1.2.3. Учебный диалог и его основные функции
* 1.3. Психолингвистические особенности становления и развития вторичной языковой личности иностранных студентов-филологов на основе учебных диалогов
* ВЫВОДЫ
* Глава II. Методическая технология формирования коммуникативной культуры вторичной языковой личности иностранных студентов-филологов
* 2.1. Уровни сформированное коммуникативной культуры в процессе обучения русскому языку иностранных студентов-филологов.
* 2.2. Методика проектирования системы учебных диалогов.
* 2.3. Реализация лингвометодической модели формирования коммуникативной культуры иностранных студентов-филологов как вторичной языковой личности на основе учебных диалогов
* 2.3.1. Методы и приемы экспериментального обучения.
* 2.3.2. Экспериментальная система упражнений.
* 2.4. Поверка эффективности экспериментальной методики формирования коммуникативной культуры вторичной языковой личности иностранных студентов-филологов на основе учебного диалога
* ГЛАВА I. ТЕОРЕТИЧЕСКИЕ ОСНОВЫ ВОСПИТАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТОВ-СЛОВЕСНИКОВ. з
* 1.1. Языковая личность как феномен культуры (историко-логический анализ)
* 1.2. Сущность и структура языковой личности.
* 1.3. Педагогические условия воспитания языковой личности студентев-словесников
* Выводы
* ГЛАВА II. МЕТОДИКА И ТЕХНОЛОГИЯ ВОСПИТАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТОВ-СЛОВЕСНИКОВ.
* 2. I. Методика и технология организации экспериментальной работы по воспитанию языковой личности студентов-словесников
*2 .2. Структурно-функциональный анализ экспериментальной работы на занятиях лингвистического и речеведческого циклов факультета русского языка и литерагуры
* 2.3. Интегративная характеристика результатов исследования
* Глава 1. Проблемы ценностей и ценностных ориентаций.
* 1.1. Ценностное сознание как ведущая форма мировоззрения
* 1.2. Сущность и природа ценностей.
* 1.3. Типология ценностей
* 1.4. Ценностная ориентация
* Глава 2. Становление аксиологического подхода к образованию.
* 2.1. Современная эпоха и смысл существования человека.
* 2.2. Ценностные ориентации современной молодежи.
* 2.3. Универсальные гуманистические ценности в контексте педагогической деятельности.
* Выводы.
* Глава 3. Исследование механизмов достижения ведущих целей образования
* 3.1. Гуманистическая философия.
* 3.2. Гуманистические тенденции в психологии
* 3.3. Гуманистическая педагогика
* 3.4. Ценностное воспитание.
* 3.5. Гуманизация как стратегия образования.
* Выводы.
* Глава 4. Гуманистические ценности педагога как проблема в науке и практике
* 4.1. Развитие ценностного сознания учителя.
* 4.2. Изучение и характеристика взаимодействия в системе учитель-ученик
* 4.3. Особенности педагогического общения.
* 4.4. Система гуманистических ценностей педагога
* Выводы.
* Глава 5. Языковая личность учителя начальных классов.
* 5.1. Языковая личность как объект изучения.
* 5.2. Модель языковой личности учителя начальных классов
* 5.3. Анализ речевого взаимодействия учителей начальных классов.
* 5.4. Коммуникативное поведение педагога
* 5.4.1. Паралингвистические средства общения
* 5.4.2. Имплицитная коммуникация
* 5.4.3. Невербальные сигналы
* 5.4.4. Экстралингвистические средства общения
* Выводы.
* Глава 6. Система развития языковой личности будущих педагогов
* 6.1. Концепция развития языковой личности в современном образовании
* 6.2. Педагогическая технология развития языковой личности будущих учителей.
* 6.3. Результаты экспериментального применения педагогической технологии развития языковой личности будущего учителя начальной школы
* 6.4. Развитие системы гуманистических ценностей будущего педагога в процессе гармонизации его языковой личности
ГЛАВА I. Теоретико-методологические основы самореализации языковой личности в профессиональной деятельности
1.1. Анализ основных концепций развития и саморазвития личности в деятельности
1.2. Проблема самости в концепции самореализации личности
1.3. Структурное представление процессов самости
в концепции самореализации личности
1.4. Концепция самореализации языковой личности в процессе
профессиональной подготовки переводчика
ВЫВОДЫ ПО ПЕРВОЙ ГЛАВЕ
ГЛАВА II. Факторы развития языковой личности в учебнопрофессиональной деятельности
2.1. Проблема становления языковой личности в учебнопрофессиональной деятельности
2.2. Особенности организации иноязычной речевой деятельности
в учебном процессе
2.3. Межкультурная коммуникация как средство реализации иноязычной речевой деятельности
2.4. Обучение иностранным языкам в условиях многоязычия
ВЫВОДЫ ПО ВТОРОЙ ГЛАВЕ
ГЛАВА III. Проектирование педагогической системы дополнительной профессиональной подготовки переводчика в аспекте самореализации его языковой личности
3.1. Лингво дидактическая теория языковой личности как основа проектирования педагогической системы
3.2. Методологические подходы к проектированию педагогической системы и принципы, определяющие ее функционирование
3.3. Дидактическая модель педагогической системы и ее реализация в учебной-профессиональкой деятельности
3.4. Методическое обеспечение функционирования педагогической
системы
ВЫВОДЫ ПО ТРЕТЬЕЙ ГЛАВЕ
ГЛАВА IV. Экспериментальная проверка педагогической системы дополнительной профессиональной подготовки переводчика в аспекте самореализации его языковой личности
4.1. Организация и проведение опытно-экспериментальной работы по проверке эффективности педагогической системы
4.2. Статистическая обработка и анализ результатов опытноэкспериментальной работы
ВЫВОДЫ ПО ЧЕТВЕРТОЙ ГЛАВЕ
ЗАКЛЮЧЕНИЕ
Введение
Глава 1. Теоретические основы исследования развития языковой личности студента технического вуза 14
1.1 Теоретико-методологический статус проблемы языковой личности в философской, культурологической, психологической и лингвистической науке 16
1.1.1 Ретроспектива исследования концепции языковой личности в философии и культурологии 16
1.1.2 Концептуальные подходы к исследованию языковой личности в психологической и лингвистической парадигме 29
1.1.3 Современное состояние проблемы языковой личности в педагогической теории и практике образования 44
1.2 Основные подходы к развитию языковой личности студента в условиях технического вуза 55
1.3 Профессионально-ориентированная краеведческая направленность иноязычного образования как важное условие развития языковой личности студента в техническом вузе 77
Глава 2. Опытно-экспериментальная работа по развитию языковой личности студента технического вуза 96
2.1 Диагностика сформированности компонентов языковой личности студентов технического вуза 96
2.2 Содержание и условия развития языковой личности студентов в процессе иноязычного образования 118
2.3 Динамика развития языковой личности студентов в техническом вузе 136
Заключение 159
* Раздел I.
* Текст и его продуцирование в сфере письменной коммуникации методология и теории.
* Глава . К методологической характеристике новой лингвистической и риторической парадигмы.
* 1.1. Речевое общение через призму диалогической философии
* 1.2. Языковая личность в свете идей современной лингвистики
* 1.2.1. Теория языковой личности ретроспектива и синхронический аспект
* 1.2.2. О типологии языковой личности i в сфере учебно-речевой деятельности
* Основы теории текста в лингводидактическом преломлении
* 2.1. Текстоведение. Традиционные и новые подходы к изучению текста
* 2.2. Конститутивные признаки и категории текста. Текст и дискурс
* 2.3. Лингвистическая композиция текста.
* 2.4. Единицы текста
* 2.5. Речевой жанр в системе факторов текстообразования.
* 2.5.1. Факторы текстообразования.
* 2.5.2. Жанр как категория лингвистики речеведения обретение статуса
* 2.5.3. Анкета жанра в качестве идентификатора текстотипа.
* Глава 3. Риторическая парадигма текстоведения
* 3.1. Риторика и ее роль в гуманитарной культуре и сфере образования. Риторические законы построения речи текста.
* 3.2. Риторические речевые образцы современной российской логосферы
* 3.3. Письменный текст как риторический прецедент.
* Раздел II.
* Учебно-творческий дискурс в научнометодическом и экспериментальном освещении.
* Глава 1. Учебно-творческий дискурс лингвистические и экстралингвистические аспекты характеристики.
* 1.1. Текст как феномен учебно-речевой деятельности
* 1.2. Учебно-творческий дискурс через призму текстовых классификаций
* 1.3. Речевая интенция и типология текстов учебно-речевых произведений .
* 1.4. Образ автора и адресата учебно-речевого текста
* 1.5. О девиациях в текстах учебно-творческого дискурса.
* Глава 2. Типология жанров в сфере учебно-творческого дискурса .
* 2.1. О типологическом описании и моделировании учебно-речевых произведений.
* 2.2. Оригинальные первичные жанры
* 2.3. Вторичные жанры.
* 2.4. Инновации в системе жанров учебно-творческого дискурса
* Глава 3. Экспериментальное обучение учащихся по риторической и жанрово-типологической системе.
* 3.1. Исходные установки и проведение эксперимента
* 3.2. Учебно-речевые умения учащихся по данным констатирующего
* и экспериментального этапов диагностики
* Глава I. Педагогический аспект языковой личности в условиях
* реформирования образования
* 1.1. Понятие Языковая личность и реформирование образования
* 1.2. Педагогические предпосылки формирования языковой личности в процессе воспитания культуры иноязычного чтения
* 1.3. Формирование учебной деятельности по иноязычному чтению как проблема становления и развития субъекта учения языковой личности
* Глава II. Экспериментальное обоснование воспитания языковой личности посредством культуры иноязычного чтения.
* 2.1.Индивидуализированный подход как начальный этап формирования языковой личности при обучении иноязычному чтению
* 2.2. Реализация модели опытно-экспериментальной работы
* 2.3. Анализ результатов эксперимента
* Заключение
Солнышкина М.И. Асимметрия структуры языковой личности в русском и английском вариантах морского профессионального языка: : автореферат дис. ... доктора филологических наук : 10.02.20 / Казан. гос. ун-т им. В.И. Ульянова-Ленина. - Казань, 2005. - 53 с.
[ext[ссылка автореферат|https://new-disser.ru/_avtoreferats/01003012699.pdf]]
1. ПРОБЛЕМЫ СОЦИОЛОГИЧЕСКОГО ИЗУЧЕНИЯ ФЕНОМЕНА "ЯЗЫКОВОЙ ЛИЧНОСТИ" В РЕЧЕВЫХ КОММУНИКАЦИЯХ
Бабаян Т.Г.
диссертация на соискание ученой степени кандидата социологических наук / Тамбов, 2003
Список литературы:
```
Ванеева В.Н., Вишнякова Т.А., Остапенко В.И. Учебник русского языка. – М.: Высшая школа, 1969. – 576 с.
Реформатский А.А. Язык и личность. – М., 1989.
Богин Г.И. Модель языковой личности в ее отношении к разновидностям текстов: автореф. дис. … д-ра филол. наук. – Л., 1984.
Караулов Ю.Н. Русский язык и языковая личность. – 6-е изд. – М., 2007.
Сологуб О.П. Текстовая компетенция языковой личности – участника официально-деловой коммуникации // Языковая личность: моделирование, типология, портретирование. Сибирская лингвоперсонология. – М., 2014. – 640 с.
Кушнерук С.П. Документная лингвистика. – М.: Флинта: Наука, 2008. – 256 с.
Юзманов П.Р. Категория информативности в русскоязычном и немецкоязычном образовательном тексте/дискурсе: автореф. дис. … канд. филол. наук. – Тюмень, 2012. – 22 с.
Жумагулова Н.С. Русский язык в контексте евразийской языковой личности // Русский язык и литература в международном образовательном пространстве: современное состояние и перспективы; Гранада, 8–10 сентября 2010. Т. 2. – Гранада, 2010. – С. 1191–1195.
Халеева И.И. Основы теории обучения пониманию иноязычной речи (подготовка переводчиков): дис. … д-ра пед. наук. – М., 1990. – 238 с.
Плехов А.Н. Психологические условия развития вторичной языковой личности преподавателя-лингвиста: дис. … канд. психол. наук. – Н. Новгород, 2007. – 210 с.
Хоменко А.В. Формирование вторичной языковой личности как фактор совершенствования иноязычной подготовки в экономических вузах // Филологические науки. Вопросы теории и практики. – 2013. – № 11 (29). – Ч. 2. – С. 187–190.
Тер-Минасова С.Г. Язык и межкультурная коммуникация. – М., 2004. – 352 с.
```
```
* Носкова Татьяна Анатольевна Ретроспективный педагогический анализ различных подходов к понятию самостоятельности учащихся в обучении // ЧиО. 2015. №4 (45). URL: https://cyberleninka.ru/article/n/retrospektivnyy-pedagogicheskiy-analiz-razlichnyh-podhodov-k-ponyatiyu-samostoyatelnosti-uchaschihsya-v-obuchenii (дата обращения: 09.07.2020).
* Пимчев, Сергей Петрович. Ретроспективный анализ как метод прогностических исследований в педагогике : автореферат дис. ... кандидата педагогических наук : 13.00.01 / Волгоград. пед. ин-т им. А. С. Серафимовича. - Волгоград, 1992. - 22 с.
```
Понятие collocation в зарубежной лингвистике: семантическое наполнение [ext[ссылка|https://cyberleninka.ru/article/n/ponyatie-collocation-v-zarubezhnoy-lingvistike-semanticheskoe-napolnenie]]
ТЕРМИНОЛОГИЧЕСКИЕ КОЛЛОКАЦИИ КАК ОБЪЕКТ ИЗУЧЕНИЯ [ext[ссылка|https://cyberleninka.ru/article/n/terminologicheskie-kollokatsii-kak-obekt-izucheniya]]
# Григорьева-Голубева В.А. Становление гуманистических ценностей педагога (в аспекте языковой личности): автореф. дис. … д-ра. пед. наук. – Санкт-Петербург, 2002. – 43 с.
# Иванова Г.А. Педагогические основы формирования языковой личности посредством культуры иноязычного чтения : автореф. дис. … канд. пед. наук. – Якутск, 2000. –
# Емельянова З.В. Формирование интерактивной компетенции языковой личности при обучении иностранным языкам в неязыковом вузе: автореф. дис. … канд. пед. наук. – Якутск, 2000. – 19 с.
# Птицына И.Ф. Педагогические условия формирования межкультурной компетенции вторичной языковой личности студентов (на материале изучения японского языка и культуры): автореф. дис. … канд. пед. наук. – Якутск, 2008. – 23 с.
# Хлызова Н.Ю. Педагогические условия формирования медиакомпетентности вторичной языковой личности: автореф. дис. … канд. пед. наук. – М., 2011. – 23 с.
# Протченко О.П. Формирование языковой личности учителя начальных классов в педагогическом училище: автореф. дис. ... канд. пед. наук – Минск, 1997. – 19 с.
# Игнатова И.Б. Обучение грамматическому строю русской речи иностранных студентов-филологов как основа формирования языковой личности будущего учителя: дис. … д-ра. пед. наук – СПб., 1997. – 410 с.
# Халяпина Л.П. Методическая система формирования поликультурной языковой личности посредством интернет-коммуникации в процессе обучения иностранным языкам: автореф. дис. … д-ра. пед. наук. – СПРб., 2006. – 49 с.
# Дерябина Н.А. Развитие языковой личности студентов в процессе изучения иностранного языка: автореф. дис. … канд. пед. наук. – Екатеринбург, 2013. – 25 с.
# Лысенко Н.Е. Развитие языковой личности при обучении русскому и иностранному языкам в неязыковом вузе: автореф. дис. … канд. пед. наук. – Орел, 2006. – 24 с.
# Андреева С.М. Формирование коммуникативной культуры "вторичной" языковой личности иностранных студентов-филологов в процессе обучения русскому языку (подготовительный факультет): автореф. дис. … канд. пед. наук. – Белгород, 2003. – 24 с.
# Мордас С.Б. Формирование грамматико-коммуникативной компетенции "вторичной" языковой личности франкоговорящих иностранных студентов при изучении предложно-падежных конструкций с пространственным значением : автореф. дис. … канд. пед. наук. – Белгород, 2004. – 24 с.
# Смыкунова Н.В. Прецедентные феномены в речевом общении русской языковой личности и процессе обучения русскому языку как иностранному: автореф. дис. … канд. пед. наук. – М., 2003. – 20 с.
# Дрянгина Е.А. Обучение студентов-филологов ассоциативно-образным средствам репрезентации языковой личности учителя: автореф. дис. … канд. пед. наук. – Саранск, 2011 – 23 с.
# Абдулмянова И.Р. Формирование специального двуязычного тезауруса как составляющего компонента языковой личности переводчика в экономической сфере (французский язык): автореф. дис. … канд. пед. наук. – Н. Новгород, 2008. – 20 с.
# Быкова Г.И. Воспитание языковой личности в процессе преподавания лингвистических и речеведческих дисциплин : дис. … канд. пед. наук. – Екатеринбург,1999. – 195 с.
# Юрьева А.В. Лингвориторический идеал как фактор становления профессиональной языковой личности будущего учителя: автореф. дис. … канд. пед. наук. – Сочи, 2002. – 22 с.
# Дацун Н.А. Билингвальная подготовка будущего юриста как профессиональной языковой личности (на материале изучения английского языка): автореф. дис. … канд. пед. наук. – Майкоп, 2007. – 23 с.
# Годунова С.Ю. Педагогические условия развития языковой личности студента технического вуза: автореф. дис. … канд. пед. наук – М., 2008. – 26 с.
# Пивкин С.Д. Самореализация языковой личности переводчика в системе дополнительного профессионального образования: автореф. дис. … д-ра. пед. наук. – Ульяновск, 2012. – 24 с.
#
# Григорьева-Голубева В.А. Становление гуманистических ценностей педагога (в аспекте языковой личности): автореф. дис. … д-ра. пед. наук. – Санкт-Петербург, 2002. – 43 с.
# Иванова Г.А. Педагогические основы формирования языковой личности посредством культуры иноязычного чтения : автореф. дис. … канд. пед. наук. – Якутск, 2000. –
# Емельянова З.В. Формирование интерактивной компетенции языковой личности при обучении иностранным языкам в неязыковом вузе: автореф. дис. … канд. пед. наук. – Якутск, 2000. – 19 с.
# Птицына И.Ф. Педагогические условия формирования межкультурной компетенции вторичной языковой личности студентов (на материале изучения японского языка и культуры): автореф. дис. … канд. пед. наук. – Якутск, 2008. – 23 с.
# Хлызова Н.Ю. Педагогические условия формирования медиакомпетентности вторичной языковой личности: автореф. дис. … канд. пед. наук. – М., 2011. – 23 с.
# Протченко О.П. Формирование языковой личности учителя начальных классов в педагогическом училище: автореф. дис. ... канд. пед. наук – Минск, 1997. – 19 с.
# Игнатова И.Б. Обучение грамматическому строю русской речи иностранных студентов-филологов как основа формирования языковой личности будущего учителя: дис. … д-ра. пед. наук – СПб., 1997. – 410 с.
# Халяпина Л.П. Методическая система формирования поликультурной языковой личности посредством интернет-коммуникации в процессе обучения иностранным языкам: автореф. дис. … д-ра. пед. наук. – СПРб., 2006. – 49 с.
# Дерябина Н.А. Развитие языковой личности студентов в процессе изучения иностранного языка: автореф. дис. … канд. пед. наук. – Екатеринбург, 2013. – 25 с.
# Лысенко Н.Е. Развитие языковой личности при обучении русскому и иностранному языкам в неязыковом вузе: автореф. дис. … канд. пед. наук. – Орел, 2006. – 24 с.
# Андреева С.М. Формирование коммуникативной культуры "вторичной" языковой личности иностранных студентов-филологов в процессе обучения русскому языку (подготовительный факультет): автореф. дис. … канд. пед. наук. – Белгород, 2003. – 24 с.
# Мордас С.Б. Формирование грамматико-коммуникативной компетенции "вторичной" языковой личности франкоговорящих иностранных студентов при изучении предложно-падежных конструкций с пространственным значением : автореф. дис. … канд. пед. наук. – Белгород, 2004. – 24 с.
# Смыкунова Н.В. Прецедентные феномены в речевом общении русской языковой личности и процессе обучения русскому языку как иностранному: автореф. дис. … канд. пед. наук. – М., 2003. – 20 с.
# Дрянгина Е.А. Обучение студентов-филологов ассоциативно-образным средствам репрезентации языковой личности учителя: автореф. дис. … канд. пед. наук. – Саранск, 2011 – 23 с.
# Абдулмянова И.Р. Формирование специального двуязычного тезауруса как составляющего компонента языковой личности переводчика в экономической сфере (французский язык): автореф. дис. … канд. пед. наук. – Н. Новгород, 2008. – 20 с.
# Быкова Г.И. Воспитание языковой личности в процессе преподавания лингвистических и речеведческих дисциплин : дис. … канд. пед. наук. – Екатеринбург,1999. – 195 с.
# Юрьева А.В. Лингвориторический идеал как фактор становления профессиональной языковой личности будущего учителя: автореф. дис. … канд. пед. наук. – Сочи, 2002. – 22 с.
# Дацун Н.А. Билингвальная подготовка будущего юриста как профессиональной языковой личности (на материале изучения английского языка): автореф. дис. … канд. пед. наук. – Майкоп, 2007. – 23 с.
# Годунова С.Ю. Педагогические условия развития языковой личности студента технического вуза: автореф. дис. … канд. пед. наук – М., 2008. – 26 с.
# Пивкин С.Д. Самореализация языковой личности переводчика в системе дополнительного профессионального образования: автореф. дис. … д-ра. пед. наук. – Ульяновск, 2012. – 24 с.
# Презентация «Федеральный закон от 29.12.2012 № 273-ФЗ «Об образовании в Российской Федерации» (Закон новых возможностей) URL: https://minobr.gov-murman.ru/files/prezent_273fz-13.pdf.
# Григорьева-Голубева В.А. Становление гуманистических ценностей педагога (в аспекте языковой личности): автореф. дис. … д-ра. пед. наук. – Санкт-Петербург, 2002. – 43 с.
# Иванова Г.А. Педагогические основы формирования языковой личности посредством культуры иноязычного чтения : автореф. дис. … канд. пед. наук. – Якутск, 2000. –
# Емельянова З.В. Формирование интерактивной компетенции языковой личности при обучении иностранным языкам в неязыковом вузе: автореф. дис. … канд. пед. наук. – Якутск, 2000. – 19 с.
# Птицына И.Ф. Педагогические условия формирования межкультурной компетенции вторичной языковой личности студентов (на материале изучения японского языка и культуры): автореф. дис. … канд. пед. наук. – Якутск, 2008. – 23 с.
# Хлызова Н.Ю. Педагогические условия формирования медиакомпетентности вторичной языковой личности: автореф. дис. … канд. пед. наук. – М., 2011. – 23 с.
# Протченко О.П. Формирование языковой личности учителя начальных классов в педагогическом училище: автореф. дис. ... канд. пед. наук – Минск, 1997. – 19 с.
# Игнатова И.Б. Обучение грамматическому строю русской речи иностранных студентов-филологов как основа формирования языковой личности будущего учителя: дис. … д-ра. пед. наук – СПб., 1997. – 410 с.
# Халяпина Л.П. Методическая система формирования поликультурной языковой личности посредством интернет-коммуникации в процессе обучения иностранным языкам: автореф. дис. … д-ра. пед. наук. – СПРб., 2006. – 49 с.
# Дерябина Н.А. Развитие языковой личности студентов в процессе изучения иностранного языка: автореф. дис. … канд. пед. наук. – Екатеринбург, 2013. – 25 с.
# Лысенко Н.Е. Развитие языковой личности при обучении русскому и иностранному языкам в неязыковом вузе: автореф. дис. … канд. пед. наук. – Орел, 2006. – 24 с.
# Андреева С.М. Формирование коммуникативной культуры "вторичной" языковой личности иностранных студентов-филологов в процессе обучения русскому языку (подготовительный факультет): автореф. дис. … канд. пед. наук. – Белгород, 2003. – 24 с.
# Мордас С.Б. Формирование грамматико-коммуникативной компетенции "вторичной" языковой личности франкоговорящих иностранных студентов при изучении предложно-падежных конструкций с пространственным значением : автореф. дис. … канд. пед. наук. – Белгород, 2004. – 24 с.
# Смыкунова Н.В. Прецедентные феномены в речевом общении русской языковой личности и процессе обучения русскому языку как иностранному: автореф. дис. … канд. пед. наук. – М., 2003. – 20 с.
# Дрянгина Е.А. Обучение студентов-филологов ассоциативно-образным средствам репрезентации языковой личности учителя: автореф. дис. … канд. пед. наук. – Саранск, 2011 – 23 с.
# Абдулмянова И.Р. Формирование специального двуязычного тезауруса как составляющего компонента языковой личности переводчика в экономической сфере (французский язык): автореф. дис. … канд. пед. наук. – Н. Новгород, 2008. – 20 с.
# Быкова Г.И. Воспитание языковой личности в процессе преподавания лингвистических и речеведческих дисциплин : дис. … канд. пед. наук. – Екатеринбург,1999. – 195 с.
# Юрьева А.В. Лингвориторический идеал как фактор становления профессиональной языковой личности будущего учителя: автореф. дис. … канд. пед. наук. – Сочи, 2002. – 22 с.
# Дацун Н.А. Билингвальная подготовка будущего юриста как профессиональной языковой личности (на материале изучения английского языка): автореф. дис. … канд. пед. наук. – Майкоп, 2007. – 23 с.
# Годунова С.Ю. Педагогические условия развития языковой личности студента технического вуза: автореф. дис. … канд. пед. наук – М., 2008. – 26 с.
# Пивкин С.Д. Самореализация языковой личности переводчика в системе дополнительного профессионального образования: автореф. дис. … д-ра. пед. наук. – Ульяновск, 2012. – 24 с.
# 1. Презентация «Федеральный закон от 29.12.2012 № 273-ФЗ «Об образовании в Российской Федерации» (Закон новых возможностей)» . [Электронный ресурс]. – URL: https://minobr.gov-murman.ru/files/prezent_273fz-13.pdf. (дата обращения: 20.04.2020).
# Григорьева-Голубева В.А. Становление гуманистических ценностей педагога (в аспекте языковой личности): автореф. дис. … д-ра. пед. наук. – Санкт-Петербург, 2002. – 43 с.
# Иванова Г.А. Педагогические основы формирования языковой личности посредством культуры иноязычного чтения : автореф. дис. … канд. пед. наук. – Якутск, 2000. –
# Емельянова З.В. Формирование интерактивной компетенции языковой личности при обучении иностранным языкам в неязыковом вузе: автореф. дис. … канд. пед. наук. – Якутск, 2000. – 19 с.
# Птицына И.Ф. Педагогические условия формирования межкультурной компетенции вторичной языковой личности студентов (на материале изучения японского языка и культуры): автореф. дис. … канд. пед. наук. – Якутск, 2008. – 23 с.
# Хлызова Н.Ю. Педагогические условия формирования медиакомпетентности вторичной языковой личности: автореф. дис. … канд. пед. наук. – М., 2011. – 23 с.
# Протченко О.П. Формирование языковой личности учителя начальных классов в педагогическом училище: автореф. дис. ... канд. пед. наук – Минск, 1997. – 19 с.
# Игнатова И.Б. Обучение грамматическому строю русской речи иностранных студентов-филологов как основа формирования языковой личности будущего учителя: дис. … д-ра. пед. наук – СПб., 1997. – 410 с.
# Халяпина Л.П. Методическая система формирования поликультурной языковой личности посредством интернет-коммуникации в процессе обучения иностранным языкам: автореф. дис. … д-ра. пед. наук. – СПРб., 2006. – 49 с.
# Дерябина Н.А. Развитие языковой личности студентов в процессе изучения иностранного языка: автореф. дис. … канд. пед. наук. – Екатеринбург, 2013. – 25 с.
# Лысенко Н.Е. Развитие языковой личности при обучении русскому и иностранному языкам в неязыковом вузе: автореф. дис. … канд. пед. наук. – Орел, 2006. – 24 с.
# Андреева С.М. Формирование коммуникативной культуры "вторичной" языковой личности иностранных студентов-филологов в процессе обучения русскому языку (подготовительный факультет): автореф. дис. … канд. пед. наук. – Белгород, 2003. – 24 с.
# Мордас С.Б. Формирование грамматико-коммуникативной компетенции "вторичной" языковой личности франкоговорящих иностранных студентов при изучении предложно-падежных конструкций с пространственным значением : автореф. дис. … канд. пед. наук. – Белгород, 2004. – 24 с.
# Смыкунова Н.В. Прецедентные феномены в речевом общении русской языковой личности и процессе обучения русскому языку как иностранному: автореф. дис. … канд. пед. наук. – М., 2003. – 20 с.
# Дрянгина Е.А. Обучение студентов-филологов ассоциативно-образным средствам репрезентации языковой личности учителя: автореф. дис. … канд. пед. наук. – Саранск, 2011 – 23 с.
# Абдулмянова И.Р. Формирование специального двуязычного тезауруса как составляющего компонента языковой личности переводчика в экономической сфере (французский язык): автореф. дис. … канд. пед. наук. – Н. Новгород, 2008. – 20 с.
# Юрьева А.В. Лингвориторический идеал как фактор становления профессиональной языковой личности будущего учителя: автореф. дис. … канд. пед. наук. – Сочи, 2002. – 22 с.
# Дацун Н.А. Билингвальная подготовка будущего юриста как профессиональной языковой личности (на материале изучения английского языка): автореф. дис. … канд. пед. наук. – Майкоп, 2007. – 23 с.
# Годунова С.Ю. Педагогические условия развития языковой личности студента технического вуза: автореф. дис. … канд. пед. наук – М., 2008. – 26 с.
# Пивкин С.Д. Самореализация языковой личности переводчика в системе дополнительного профессионального образования: автореф. дис. … д-ра. пед. наук. – Ульяновск, 2012. – 24 с.
<p align="right"> Текст </p>
*[[Нестеренко В.М.]]
*Н. В. Софронова, Р. И. Горохова Моделирование педагогических систем: Монография. - Чебоксары: Чувашский гос.пед.ун-т, 2011. - 174 с. [ext[ссылка|http://lit.lib.ru/s/sofronowa_n_w/text_0010.shtml]]
<<<
Образовательное пространство является сферой взаимодействия трех его субъектов: учителя, ученика и среды между ними. Вывод Л. Выготского (Выготский Л.С. Педагогическая психология. М., 1996.С.57.) о трехстороннем активном процессе (активен ученик, активен учитель, активна среда между ними) позволяет рассматривать трехкомпонентное взаимодействие субъектов образовательного пространства как единый процесс целенаправленного формирования личности ребенка, не разделяя воспитание и образование.
<<<
*Лучшие IDE и редакторы кода для Python [ext[ссылка|https://tproger.ru/translations/python-ide/]]
*Бесплатные онлайн курсы Python (сайты, вебинары, книги) [ext[ссылка|https://zen.yandex.ru/media/for24/besplatnye-onlain-kursy-python-saity-vebinary-knigi-5d3b39c3c49f2900ad0b2b3f]]
*10 книг по Python для начинающих программистов [ext[ссылка|https://epixx.ru/blog/10-knig-po-python-dlya-nachinayuschih-programmistov]]
*Курс Полный курс Python для начинающих [ext[ссылка|https://beonmax.com/courses/python/?utm_source=ydir&utm_medium=yd03s_python&utm_campaign=yd03s_python_20&yclid=3043705527690354186]]
*Питонтьютор [ext[ссылка |https://pythontutor.ru/]]
*Питон из Википедии [ext[ссылка|https://ru.wikipedia.org/wiki/Python]]
*Jupyter [ext[ссылка|http://ipython.org/]]
---
!!! ''Онлайн''
* ТОП 5 онлайн компилятора Python [ext[ссылка|https://pythonru.com/baza-znanij/top-5-onlajn-kompiljatora-python]]
* GDB Online [ext[ссылка|https://www.onlinegdb.com/]]
* REPL [ext[ссылка|https://repl.it/languages/python3]]
* rextester [ext[ссылка|https://rextester.com/l/python3_online_compiler]]
[ext[ссылка в библиотеку|file:///D:/BI/.pdf]]
[ext[ссылка|https://naukaru.ru/ru/nauka/journal/19/view#journal-forauthor]]
C 2018 г. за редакционно-издательскую подготовку статьи взимается плата в размере 5000 руб.
Автореферат [[Григорьева-Голубева В.А.]] Становление гуманистических ценностей педагога (в аспекте языковой личности)
*[ext[ссылка интернет НЭБ|https://rusneb.ru/catalog/000200_000018_RU_NLR_bibl_437989/viewer/]]* [ext[ссылка дисерткат|https://www.dissercat.com/content/stanovlenie-gumanisticheskikh-tsennostei-pedagoga-v-aspekte-yazykovoi-lichnosti]]*[ext[ссылка в библиотеку|file:///D:/BI/a_grigorieva-golubeva_va.pdf]]
*[[ggva_ar]] *[[ggva_ar 1]]
---
*{{ggva_ar}}
---
''Дусь''
Экстраполяционный метод, согласно Massengale J. [9, c. 65], в своей основе содержит идею о том, что успешное проектирование новых идей в будущем лучше всего достигается путем изучения и оценки того, что произошло в прошлом, предполагая способность исследователя критически проанализировать тенденции и изучить тренд. Следовательно, данный метод основан на исследовании объекта прогнозирования (социальная инфраструктура, демографические процессы, состояние образования в историческом плане), ретроспективном анализе количественных временных рядов или тенденций.
''Сафронова ''
Чтобы провести анализ известного (прошлого) поведения системы применяют ретроспективный анализ. Ретроспективный анализ – это обработка информации о функционировании системы за длительные периоды времени (десятилетия, годы, месяцы и т.д.). Целями ретроспективного анализа являются:
Определение тенденций (трендов).
Диагностика проблем.
@@color:DarkOrange; В данной работе предприняты попытки: а) выявить особенности органи-зации поликодовых ресурсов и элементов электронного учебного курса (ЭУК) на платформе модульной объектно-ориентированной динамической обучаю-щей среды (Moodle); б) оп ределить функциональную нагрузку их семиотиче-ски разнородных составляющих; в) оценить их дидактический потенциал в профессионально ориентированном обучении английскому языку студентов магистратуры в неязыковом вузе.
Достижение указанной цели через последовательное решение вышеназванных задач предусматривает анализ мультимодально го содержимого онлайн-курса с точки зрения логико-семантических взаимоотношений его гетерогенных составляющих, что, как предполагается, позволит уточнить их роль в оптимизации представления и восприятия учебного материала. Этим определяется практическая значимость проведенного исследования. Его новизна видится в конкретизации параметров формально-смысловой организации мультимодального сегмента виртуальной лингвопрофессиональной обучающей среды и дидактических функций ее невербальных компонентов. @@
Между концептами существует связь, определяемая уровнем культуры человека, его принадлежностью к определенному сообществу людей, его индивидуальностью. Одна концептосфера может сочетаться с другой – скажем, концептосфера русского языка в целом, но в ней концептосфера инженера-практика, а в ней концептосфера семьи, а в ней индивидуальная концептосфера. Каждая из последующих концептосфер одновременно сужает предшествующую, но и расширяет ее.
''Лихачев '' [ext[ссылка|http://ucheb.lunn.ru/old/Departments/Foreign_literature/Kultura_MK_III.htm]]
*[[Динамика развития и соотношение основных понятий педагогики]]
*[[Виды психической саморегуляции]]
*[[Общество, язык, текст и языковая личность в аспекте субстратного подхода к языку]]
* [[Языковая личность, текст и дискурс: Методологические аспекты]]
*[[Языковая личность: проблемы осознания Ее сущности и современная лингвистическая интерпретация]]
*[[О некоторых аспектах изучения термина идиолект в отечественной и западной лингвистике]]
*[[Гипертекст как предмет психологического исследования в культурно-деятельностной программе]]
*[[Понятийно-терминологический аппарат педагогики и образования]]
*[[Речевой портрет современного студента: характеристика словарного запаса]]
*[[Образовательная среда: понятие, структура, типология]]
*[[О термине «языковая личность»: истоки, проблемы,перспективы использования]]
*[[Зачем нужен словарь?]]
* [[Организация учебного процесса в wiki-средах]]
*[[Об общем и частном в понятиях «языковая личность», «речевой портрет», «идиостиль» и «идиолект» (на примере вербального поведения современных политических деятелей)]]
*[[Профессиональная языковая личность будущего инженера: теоретический аспект]]
!! Заголовок
*Трубникова Ю.В. Текст и его заголовок: проблема структурного и семантического взаимодействия [ext[ссылка|https://cyberleninka.ru/article/n/tekst-i-ego-zagolovok-problema-strukturnogo-i-semanticheskogo-vzaimodeystviya]]
* Гальперин И.Р. Текст как объект [ext[ссылка|https://www.academia.edu/10146450/%D0%93%D0%B0%D0%BB%D1%8C%D0%BF%D0%B5%D1%80%D0%B8%D0%BD_%D0%98_%D0%A0_%D0%A2%D0%B5%D0%BA%D1%81%D1%82_%D0%BA%D0%B0%D0%BA_%D0%BE%D0%B1]]
!! Другое
* Прохоров Ю.Е. К проблеме концепта и концептосферы [ext[ссылка|http://www.philol.msu.ru/~slavphil/books/jsk_30_03prochorov.pdf]]
*Ковязина М.А. Извлечение ключевых терминов на базе корпуса текстов о разработке нефтяных и газовых месторождений [ext[ссылка|https://www.academia.edu/33614626/%D0%98%D0%B7%D0%B2%D0%BB%D0%B5%D1%87%D0%B5%D0%BD%D0%B8%D0%B5_%D0%BA%D0%BB%D1%8E%D1%87%D0%B5%D0%B2%D1%8B%D1%85_%D1%82%D0%B5%D1%80%D0%BC%D0%B8%D0%BD%D0%BE%D0%B2_%D0%BD%D0%B0_%D0%B1%D0%B0%D0%B7%D0%B5_%D0%BA%D0%BE%D1%80%D0%BF%D1%83%D1%81%D0%B0_%D1%82%D0%B5%D0%BA%D1%81%D1%82%D0%BE%D0%B2_%D0%BE_%D1%80%D0%B0%D0%B7%D1%80%D0%B0%D0%B1%D0%BE%D1%82%D0%BA%D0%B5_%D0%BD%D0%B5%D1%84%D1%82%D1%8F%D0%BD%D1%8B%D1%85_%D0%B8_%D0%B3%D0%B0%D0%B7%D0%BE%D0%B2%D1%8B%D1%85_%D0%BC%D0%B5%D1%81%D1%82%D0%BE%D1%80%D0%BE%D0%B6%D0%B4%D0%B5%D0%BD%D0%B8%D0%B9]]
* Хохлова М.В. Исследование лексико-синтаксическои сочетаемости в русском языке с помощью статистических методов (на базе корпусов текстов)) [ext[ссылка|https://new-disser.ru/_avtoreferats/01004916919.pdf]]
* Саморегулятивные способности человека в профессиональной деятельности [[Ожиганова 2016]]
*Саморегуляция и саморегулируемые возможности: компоненты, уровни, модели [[Ожиганова 2018]]
* Орешкина. Ретроспективный анализ развития социального пространства системы непрерывного образования [ext[ссылка|https://cyberleninka.ru/article/n/retrospektivnyy-analiz-razvitiya-sotsialnogo-prostranstva-sistemy-nepreryvnogo-obrazovaniya]]
* Носкова Ретроспективный педагогический анализ различных подходов к понятию самостоятельности учащихся в обучении [ext[ссылка|https://cyberleninka.ru/article/n/retrospektivnyy-pedagogicheskiy-analiz-razlichnyh-podhodov-k-ponyatiyu-samostoyatelnosti-uchaschihsya-v-obuchenii]]
* Дусь. К вопросу о подходах к прогнозированию развития системы непрерывного профессионального образования [ext[ссылка|https://cyberleninka.ru/article/n/retrospektivnyy-pedagogicheskiy-analiz-razlichnyh-podhodov-k-ponyatiyu-samostoyatelnosti-uchaschihsya-v-obuchenii]]
* Софронова Н.В. Методики анализа педагогических систем [ext[ссылка|https://fundamental-research.ru/ru/article/view?id=33168]]
* Инна Алексеевна Угланова. О языковом механизме саморегуляции [ext[ссылка|https://cyberleninka.ru/article/n/o-yazykovom-mehanizme-samoregulyatsii]]
* Пивки и др .Саморазвитие языковой личности в условиях многоязычия [ext[ссылка|https://cyberleninka.ru/article/n/samorazvitie-yazykovoy-lichnosti-v-usloviyah-mnogoyazychiya]]
* Вагапова Н.А. Саморегуляция и самоуправление как базовые механизмы социальной адаптации личности. [ext[ссылка|https://cyberleninka.ru/article/n/samoregulyatsiya-i-samoupravlenie-kak-bazovye-mehanizmy-sotsialnoy-adaptatsii-lichnosti-1]]
* Болотова А.К., Башкин Е.Б. Самосознание и развитие личности как "особый временной момент" (саморегуляция) [ext[ссылка|https://psyjournals.ru/kip/2009/n1/Bolotova.shtml]]
* Смысложизненные задачи и состояния в развитии личности как субъекта жизни(Саморегуляция в контексте решения смысложизненных задач) [ext[ссылка|https://elibrary.ru/download/elibrary_38545030_41538674.pdf]]
*Личность: история развития семантики слова [ext[ссылка|https://www.elibrary.ru/item.asp?id=15245761]]
*Приходько А.Н. Концепты и концептосистемы. [ext[ссылка в библиотеку|file:///D:/BI/978-617-645-094-8.pdf]] ** [ext[ссылка Инт|https://b-ok.cc/book/3207572/3e09fb]]**[ext[ссылка|https://yadi.sk/i/wWJG_JSLH091Ug]]
* Статьи Аскольдо, Лихачев и др по концептам [ext[ссылка|http://ucheb.lunn.ru/old/Departments/Foreign_literature/Kultura_MK_III.htm]]
*Дубинина Е.Ю. Система AntConc и возможность ее использования для выделения информативных лексических единиц [ext[ссылка|https://www.elibrary.ru/item.asp?id=29740523]]
*Влавацкая М.В. Типология коллокаций в комбинаторной лингвистике . [ext[ссылка|https://cyberleninka.ru/article/n/tipologiya-kollokatsiy-v-kombinatornoy-lingvistike]]
*Е.В.Ягунова, Л.М.Пивоварова. Природа коллокаций в русском языке. Опыт автоматического извлечения и классификации на материале новостных текстов [ext[ссылка|http://medialing.spbu.ru/upload/files/file_1394529742_4311.pdf]] ** [ext[ссылка|http://webground.su/services.php?param=priroda_collac&part=priroda_collac.htm]] ** [ext[ссылка САЙТ|http://webground.su/services.php?param=about]]
* М.В. Хохлова (Санкт-Петербург) Экспериментальная проверка методов выделения коллокаций [ext[ссылка|http://www.helsinki.fi/slavicahelsingiensia/preview/sh34/pdf/21.pdf]]
*Трубникова Юлия Витольдовна Текст и его заголовок: проблема структурного и семантического взаимодействия [ext[ссылка|https://cyberleninka.ru/article/n/tekst-i-ego-zagolovok-problema-strukturnogo-i-semanticheskogo-vzaimodeystviya]]
*Баранов А.Н. Введение в прикладную лингвистику [ext[ссылка|https://userdocs.ru/informatika/2711/index.html?page=8#168782]]
*[ext[ссылка html|https://ru.texthandler.com/text-tools/letter-case-converter/]]
!! Дидактический потенциал лингвистических конструктов "Языковая личность", "Речевой потрет" в профессиональном образовании (st202002)
Языковая личность профессионала характеризует его профессиональный уровень. [[st202002_sl]] Структура языковой личности профессионала (три уровня)[[51202002_52]] лексикон и тезаурус
Связь на третьем уровне (прагматион) с употреблением Портретирование языковой личности Влияние информационной среды на языковую личность Динамика изменения языковой личности
Профессиональное образование призвано формировать специалиста, обладающего кроме набора специальных знаний в определенной области, широким кругозором, то есть быть личностью, способной решать задачи в своей профессиональной области профессионального самоопределения будущего специалиста
st202002_sl_l
Основным источником знаний являются тексты учебников и учебных пособий, методические разработки и другие информационные
источники, предоставляемые средой учебного заведения. Знания передаются с помощью средств естественного языка
st202002_sl_2
[[]]
st202002_sl_3
st202002_sl_4
Языковая личность профессионала характеризует его профессиональный уровень, структура языковой профессиональной личности включает три уровня *[[коммуникативно-компетентностный уровень| iyun_rposvfyalsvv_s56_3]] *[[лингво-когнитивный уровень - выражен тезаурусом | iyun_rposvfyalsvv_s57_l]]
*[[мотивационный уровень - представлен системой побудительных факторов |iyun_rposvfyalsvv_s57_2]]
[[Каждый из этих уровней необходимо развивать в процессе обучения в вузе с целью формирования профессионально-компетентного специалиста | iyun_rposvfyalsvv_s57_3]]
!!! Языковая личность и среда
[[Седых Д.В.]]
!! Дидактический потенциал лингвистических конструктов "Языковая личность", "Речевой потрет" в профессиональном образовании
!!! Языковая личность профессионала характеризует его профессиональный уровень.
Закон «Об образовании в Российской Федерации» определяет профессиональное развития человека как одну из основных целей образования, осуществляемую (реализуемую) через профессиональное и дополнительной образование. [ФЗ]
Профессиональное образование призвано формировать специалиста, обладающего кроме набора специальных знаний в определенной области, широким кругозором, то есть быть личностью, способной решать задачи в своей профессиональной области профессионального самоопределения будущего специалиста [1]
Идея развития личности проходит красной нитью через всё содержание закона об образовании в РФ. Реализация идеи формирования и развития личности требует конкретизации данного понятия.
Категория личность используется в быту и в различных науках и имеет множество значений. Например у Ожегова личность - человек как носитель каких-нибудь свойств [Ожегов]. Личность - системное качество, приобретаемое индивидом в предметной деятельности и общении, характеризующее его со стороны включенности в общественные отношения.[] Авторы работы «Теории личности» отмечают «Даже в рамках самой психологии мы не найдем единственного, общепринятого значения этого термина — их может быть столько, сколько психологов, решающих данную задачу» []. Тем не менее конструкт личность и производные термины позволяют решать задачи различных научных направлений.
В целях нашего исследования представляет интерес использование термина «Языковая личность». Данный термин широко используется в такихь науках как психология, языкознание (лингвистика), психолингвистика.
В области дидактики он используется в таком направлении как лингводидактика, в частности в области лингводидактики используется термин «Вторичная языковая личность».
Однако на наш взгляд использованию этого понятия в области педагогики и андрогогики в частности использованию дидактического потенциала понятия «Языковая личность» не уделяется должного внимания.
История возникновения данного термина и особенности его трактовки рассмотрены довольно подробно в многочисленных работах []. Анализ этих работ показывает, что в основном авторы берут за основу в своих исследованиях трех уровневую модель предложенную Карауловым.
Дидактический потенциал данного понятия обусловлен тем, что в нем сочетаются два начала, представляющее особый интерес для дидактики - психология и язык.
Языковая личность - любой носитель того или иного языка, охарактеризованный на основе анализа произведенных им текстов с точки зрения использования средств данного языка для отражения окружающей действительности (картины мира).[Азимов]
Основным источником знаний являются тексты учебников и учебных пособий, методические разработки и другие информационные источники, предоставляемые средой учебного заведения. Знания передаются с помощью средств естественного языка
Структура языковой личности профессионала (три уровня) структура языковой профессиональной личности включает три уровня
• коммуникативно-компетентностный уровень
• лингво-когнитивный уровень - выражен тезаурусом
• мотивационный уровень - представлен системой побудительных факторов
Каждый из этих уровней необходимо развивать в процессе обучения в вузе с целью формирования профессионально- компетентного специалиста лексикон и тезаурус
Следует отметить что хотя Караулов и размещает лексику (лексикон) на нулевом уровне языковой личности, он все же отмечает «... что он составляет необходимую предпосылку ее становления и функционирования» [Кар с. 36] и далее «Он попадает в поле зрения исследователя личности только в том случае, если речь идет о втором для нее языке.» [там. же]. Таким образом если мы будем рассматривать профессиональный язык как второй - то лексикон профессионального языка (терминологию) можно.
Можно использовать (правомерно использовать) методики лингводидактики для формирования профессиональной языковой личности, при освоении профильных учебных дисциплин, и в первую очередь для формирования тезауруса личности..
!!! Связь на третьем уровне (прагматион) с употреблением
!!! Портретирование языковой личности
!!! Влияние информационной среды на языковую личность
!!! Динамика изменения языковой личности
```
1. Мыскин С.В. Языковая профессиональная личность //Филологические науки. Вопросы теории и практики. 2013. № 12-1 (30). С. 150-157.
```
Вайндорф-Сысоева М. Е. Организация виртуальной образовательной среды в подготовке педагогических кадров к инновационной деятельности
!<center>''Понятие Языковая личность и профессиональное образование''</center>
!!<center>''Введение''</center>
Закон «Об образовании в Российской Федерации» определяет профессиональное развития человека как одну из основных целей образования, осуществляемую (реализуемую) через профессиональное и дополнительной образование. [ФЗ] Профессиональное образование призвано формировать специалиста, обладающего кроме набора специальных знаний в определенной области, широким кругозором, то есть быть личностью, способной решать задачи в своей профессиональной области профессионального самоопределения будущего специалиста [1]
Идея развития личности проходит красной нитью через всё содержание закона об образовании в РФ, причем следет отметить, что термин личность входит в пятерку основных понятий федерального закона. Реализация идеи формирования и развития личности требует конкретизации данного понятия.
Категория личность используется в быту и в различных науках и имеет множество значений. Например у Ожегова личность - человек как носитель каких-нибудь свойств [Ожегов]. Личность - системное качество, приобретаемое индивидом в предметной деятельности и общении, характеризующее его со стороны включенности в общественные отношения.[] Авторы работы «Теории личности» отмечают «Даже в рамках самой психологии мы не найдем единственного, общепринятого значения этого термина — их может быть столько, сколько психологов, решающих данную задачу» []. Тем не менее конструкт личность и производные термины позволяют решать задачи различных научных направлений.
В целях нашего исследования представляет интерес использование термина «Языковая личность». Данный термин используется в таких науках как философия, психология, языкознание (лингвистика), психолингвистика, педагогика, культурология, социологии.
!!<center>''Языковая личность в диссертационных исследованиях''</center>
С целью выявления частоты использования и глубины научной проработки вопросов использования данного концепта в диссертационных исследованиях был проведен анализ диссертационных работ за период с 1990 по 2020 год.
Отбор диссертационных работ проводился с помощью поисковых систем РГБ, сайта ВАК РФ, dissercat.com, dislibnet, new-disser.ru. И проводился по содержанию в названии диссертации термина языковая личность, исходя из положения что название адекватно содержанию работы.
Поиск показал, что после пионерских работ Богина Г.И. и Халеевой первая диссертации с использованием концепта языковая личность были защищена в 1995 году Далее ситуация развивалась следующим образом: 1993 год - 2 диссертации; 1994 — 3 диссертации; 1995 год — 7 диссертаций; 1996 год — 8 диссертаций; 1997 год — 15 диссертаций; 1998 год — 4 диссертации ; 1999 год - ??
2000—14; 2001 —3; 2002 — 13 ; 2003 - 9 ; 2004 — 19; 2005 - 11 ; 2006 - 13 ; 2007 - 17 ; 2008 - 13 ; 2009- 18 ; 2010- 12 ; 2011 - 18 ; 2012- 15 ; 2013 - 15 ; 2014- 14 ; 2015 - 11 ; 2016- 7 ; 2017 - 5 ; 2018 - 1 ; 2019 - 1 ;
!!Модели языковой личности
Модель Богина Упрощенная, исходная модель содержит «всего» 60 компонентов полная более
3000
История возникновения данного термина и особенности его трактовки рассмотрены довольно
подробно в многочисленных работах [].
автореф Ма В качестве методологической конструкции в работе используется трехуровневая модель языковой личности, предложенная Ю. Н. Карауловым (поскольку позволяет структурировать разные аспекты личности), с той лишь оговоркой, что необходимыми для проведения исследования и равноценными с точки зрения распределения концептуальной информации являются все уровни,
включая нулевой, или ординарно-семантический уровень В диссертации целесообразность
обращения к ординарно-семантическому уровню объясняется тем, что поиск прототипа американской языковой личности не представляется возможным без изучения нулевого уровня как предпосылки ее становления и развития, [с. 5]
Следует отметить что хотя Караулов и размещает лексику (лексикон) на нулевом уровне языковой личности, он все же отмечает «... что он составляет необходимую предпосылку ее становления и функционирования» [Кар с. 36] и далее «Он попадает в поле зрения исследователя личности только в том случае, если речь идет о втором для нее языке.» [там. же]. Таким образом если мы будем рассматривать профессиональный язык как второй - то лексикон профессионального языка (терминологию) можно.
!!Языковая личность в дидактике
Следует отметить что пионерские работы Богина и Халеевой относились к области педагогических наук в частности к лингводидактике.
Докторская диссертация Бурденюк Г.М. Управление самостоятельной учебной деятельности при обучении иностранным языкам взрослых. Специальность 13.00.01 где использовался концепт вторичная языковая личность.
Однако количество диссертаций в области педагогики значительно уступает количеству диссертаций в области филологии. Анализ списка диссертаций показывает что в области филологических наук за период с 1990 по 2019 год было защищено 204 в области дидактики 31.
В области дидактики он используется в таком направлении как лингводидактика, в частности в области лингводидактики используется термин «Вторичная языковая личность».
Однако на наш взгляд использованию этого понятия в области педагогики и андрогогики в частности использованию дидактического потенциала понятия «Языковая личность» не уделяется должного внимания.
Дидактический потенциал данного понятия обусловлен тем, что в нем сочетаются два начала, представляющее особый интерес для дидактики - психология и язык.
Языковая личность - любой носитель того или иного языка, охарактеризованный на основе анализа произведенных им текстов с точки зрения использования средств данного языка для отражения окружающей действительности (картины мира).[Азимов] Основным источником знаний являются тексты учебников и учебных пособий, методические разработки и другие информационные источники, предоставляемые средой учебного заведения. Знания передаются с помощью средств естественного языка
Можно использовать (правомерно использовать) методики лингводидактики для формирования профессиональной языковой личности, при освоении профильных учебных дисциплин, и в первую очередь для формирования тезауруса личности..
''философы''
Теоретико-познавательные и методологические аспекты проблемы вторичной языковой личности Шашлова Г.С. диссертация на соискание ученой степени кандидата философских наук / Москва, 2006
Формирование языковой личности: социально-философский аспект Сахарова А.В. Диссертация на соискание ученой степени кандидата философских наук / Национальный исследовательский Нижегородский государственный университет им. Н.И. Лобачевского. Нижний Новгород, 2017
''Психологи''
Психологические условия развития вторичной языковой личности преподавателя-лингвиста
Плехов А.Н. диссертация на соискание ученой степени кандидата психологических наук / Нижегородский государственный педагогический университет. Нижний Новгород, 2007
Формирование эффективного психотерапевта как развитой языковой личности. Варфоломеева О.В. диссертация на соискание ученой степени кандидата психологических наук / Симферополь, 1998
''Культурология''
Культура языковой личности в поликультурной среде вуза Буряк Н.Ю. диссертация на соискание ученой степени кандидата культурологии / Краснодарский государственный университет культуры и искусств. Краснодар, 2012
Эволюция языковой личности студента в билингвоментальном пространстве учебного дискурса шаброва н.с. диссертация на соискание ученой степени кандидата филологических наук / кубанский государственный университет. Тюмень, 2009
Языковая личность студента полиэтнического вуза фомина ю.с. диссертация на соискание ученой степени кандидата филологических наук / башкирский государственный университет. Уфа, 2011
!! Профессиональная языковая личность
Билингвальная подготовка будущего юриста как профессиональной языковой личности (на материале изучения английского языка) дацун н.а. диссертация на соискание ученой степени кандидата педагогических наук / адыгейский государственный университет. Сочи, 2007
Лингвориторический идеал как фактор становления профессиональной языковой личности будущего учителя юрьева а.в. диссертация на соискание ученой степени кандидата педагогических наук / сочи, 2002
В.В. Виноградов как профессиональная языковая личность ученого-филолога: лингвориторический аспект : Кузнецова л.н. на материале текстов о языке и стиле русских писателей : диссертация ... кандидата филологических наук : 10.02.19 / адыгейский государственный университет. Сочи, 2013
Все три диссертации под руководством Ворожбитолой и естественно выполнены в русле лингвориторического направления изучения профессиональной (сильной) языковой личности. Ворожбитова Одна из первых ввела в обиход термин профессиональная языковая личность
Особенности реализации профессиональной языковой личности в естественной письменной речи предпринимателей Золотова е.с. диссертация ... кандидата филологических наук : 10.02.19 / челябинский государственный университет. Челябинск, 2013
Диссертация выполнена под руководством Головановой Елены Иосифовны содержти определения профессиональной языковой личности
Педагогические условия развития языковой личности студента технического вуза
Профессионализация языковой личности (на примере юридического дискурса) Кубиц Галина Васильевна 10.02.19 - теория языка
Объектом изучения выступают специальные тексты и используемые в них языковые средства, отражающие изменения в языковом сознании специалиста в процессе приобретения им коммуникативной компетентности.
Предметом исследования является динамика формирования языковой личности специалиста.
Цель работы - выявление особенностей профессионализации языковой личности, представленных в юридическом дискурсе.
Головановой Елены Иосифовны Диссертация Категория профессионального деятеля в динамическом пространстве языка (лингвокогнетивный анализ) 2004 год. где используется (дается) определение профессиональной языковой личности.
Структура языковой личности профессионала (три уровня) структура языковой профессиональной личности включает три уровня
• коммуникативно-компетентностный уровень
• лингво-когнитивный уровень - выражен тезаурусом
• мотивационный уровень - представлен системой побудительных факторов Каждый из этих уровней необходимо развивать в процессе обучения в вузе с целью формирования профессионально- компетентного специалиста лексикон и тезаурус.
''Выводы''
1. модели языковой личность в основной массе работ строится на основе трехуровневой модели Караул о ва.
2.
3. профессиональная языковая личность исследуется в основном в ключе либо лингвориторики и основное назначение развитие гуманитарной языковой личности.
4. профессиональная языковая личность исследуется с точки зрения иноязычной подготовки (то есть как вторичная языковая личность)
5. подходы связанные с преподаванием не гуманитарных или не лингвистических дисциплин пока не находя должного отражения в работах связанных с развитием языковой личности
!!Конструкт языковая личность и профессиональное образование [[Варианты названия]]
требования 10 000 - 14 000 знаков (с пробелами).
[[Первый вариант]]
[[Черновик статьи|Черновик статьиДидактика 1]]
[[Пример статьи из журнала|ФОРМИРОВАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ ЗАРУБЕЖНОГО СТУДЕНТА В ТЕХНИЧЕСКОМ ВУЗЕ НА ЗАНЯТИЯХ ПО РУССКОМУ ЯЗЫКУ КАК ИНОСТРАННОМУ НА ОСНОВЕ ЯЗЫКА-ПОСРЕДНИКА]]
[[Пример оформления таблицы|Котомцева]]
---
[[Архив]]
Статья
В качестве методологической конструкции в работе используется трехуровневая модель языковой личности, предложеннаяЮ. Н. Карауловым (поскольку позволяет структурировать разные аспекты личности), с той лишь оговоркой, что необходимыми для проведения исследования и равноценными с точки зрения распределения концептуальной информации являются все уровни, включая нулевой, или ординарно-семантический уровень. Согласно концепции Ю. Н. Караулова, нулевой уровень («в определенном смысле бессодержательный») попадает в поле зрения исследователя в том случае, когда анализируется второй для личности язык. Сама же языковая личность «начинается по ту сторону обыденного языка, когда в игру вступают интеллектуальные силы, и первый уровень (после нулевого) ее изучения - выявление, установление иерархии смыслов и ценностей в ее картине мира, в ее тезаурусе». В диссертации целесообразность обращения к ординарно- семантическому уровню объясняется тем, что поиск прототипа американской языковой личности не представляется возможным без изучения нулевого уровня как предпосылки ее становления и развития. Языковая личность - это обобщенный речеповеденческий портрет человека как представителя определенной этнической (национальной), социальной, тендерной, возрастной, возможно, конфессиональной группы.
Языковая личность анализируется в работе как абстрактная модель
Американская языковая личность в культурно-историческом пространстве сша хх века (опыт прототипического подхода) Ма Т.Ю
Применительно к профессиям, можно отметить, что профессиональный образ мира предполагает, в первую очередь, некоторый запас знаний и связанный с ним терминологический аппарат. Кроме того, как правило, представители профессий используют так называемый профессиональный жаргон, определенную манеру речевого поведения и т.д. Для профессиональных языков в целом характерна коммуникативная замкнутость, адресованность посвященным, их освоение позволяет индивиду, заявляя о своем профессионализме, причислять себя к группе, окружающим идентифицировать его как принадлежащего к этой группе, а группе идентифицировать его как «своего» (в связи с этим возникло понятие «профессиональный образ мира»). [Паниткова arc 19 - 20]
Язык обслуживает общество абсолютно во всех сферах человеческой деятельности, он играет важнейшую роль в накоплении, передаче знаний. [Паниткова с 20]
Профессиональная компетентность лингвиста-преподавателя является структурным компонентом профессиональной языковой личности и состоит из общелингвистической, профессионально-ориентированной коммуникативной, общекультурной, психолого- педагогической, предметно-методической и информационно-технологической компетенций. Совокупность данных компетенций, их соотнесенность с трехуровневой структурой языковой личности и направленность на педагогическую деятельность обеспечивают личностную и профессиональную готовность к педагогической деятельности в свете современных требований обучения межкультурной коммуникации.
[Московская аре 16]
Психолого-педагогический процесс формирования профессиональнойязыковой личности лингвиста-преподавателя на языковом факультете пред-ставляет собой технологию контекстного профессионального образования ислужит средством «погружения» обучаемого с помощью текстовой деятель- (стр 17) ности, через освоение совокупности культурных концептов и информацион-ного моделирования диалогического
взаимодействия культур в профессиональную деятельность по направлению «Лингвистика и межкультурная коммуникация».
Опираясь на лингвометодический ракурс видения тории языковой лич-ности, и определение, данное Ю.Н. Карауловым, мы представляем следую-щее понимание концепта «профессиональная языковая личность». Профес-сиональная языковая личность - это субъект, обладающий совокупностьюпрофессионально - ориентированных способностей говорить, общаться, соз-давать устные и письменные речевые произведения, отвечающие цели и ус-ловиям коммуникации, извлекать информацию из текстов, воспринимать ипорождать речь на уровне близком к носителю языка и использовать данныесвойства как средство своей профессиональной деятельности. При этом вы-сокая степень сформированности полилингвальных вербально-семантического, лингвокогнитивного (или тезаурусного) и мотивационногоуровней, их соотнесенность с компетенциями в структуре ПК и направлен-ность на педагогическую деятельность обеспечивают готовность к профес-сионально-ориентированной речемыслительной деятельности по формирова-нию поликультурной языковой личности учащихся, [стр 24]
ТЕОРИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ: СОВРЕМЕННОЕ СОСТОЯНИЕ И ПЕРСПЕКТИВЫ ИССЛЕДОВАНИЯ О Л. М. Салимова
О.В. ПРОКОПЮК Брест, БрГТУ
РАЗВИТИЕ ПОЛИКУЛЬТУРНОЙ ПРОФЕССИОНАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ КАК ЦЕЛЬ ОБУЧЕНИЯ ИНОСТРАННОМУ ЯЗЫКУ СТУДЕНТОВ ТЕХНИЧЕСКИХ СПЕЦИАЛЬНОСТЕЙ
Сегодня профессиональная языковая личность относится к наиболее востребованнымо бъектам в области исследования языковой личности(Е.И.Голованова). Вслед за Е.И.Головановой под профессиональной поликультурной языковой личностью мы понимаем «совокупность интеллектуальных, социально-культурных и морально-волевых качеств человека, сформированных в особой профессионально-культурной среде и отраженных в свойствах его сознания, поведения и деятельности»[2, с.299]. Переосмыслив модель языковой личности Ю.Н. Караулова, Е.И.Голованова выделяет вструктуре профессиональной языковой личности следующие три уровня: уровень профессионального сознания, вербальный уровень, мотивационно-прагматический уровень. Становление профессиональной языковой личности происходит в период обучения в учреждении высшего образования (УВО). Учитывая тот факт, что изучение дисциплины «Иностранный язык» в УВО технического профиля предшествует изучению дисциплин по специальности, и, тем самым, становится фактором опережающего профессионального обучения, высшая школа должна осуществлять такую иноязычную подготовку, в ходе которой иностранный язык является не только целью обучения (как учебная дисциплина), но и средством формирования профессиональной поликультурной языковой личностив единстве ее трех уровней
СПИСОК ЛИТЕРАТУРЫ1.Караулов, Ю. Н.Русский язык и языковая личность. Изд. 2-е. / Ю.Н. Караулов. —М.: Издательство «УРСС», 2002. —264 с.2.Голованова, Е.И. Введение в когнитивное терминоведение: учебное пособие / И.Е. Голованова. -М. : ФЛИНТА, 2017. -352с
О.В.Прокопюк
ПРИНЦИПЫ ОТБОРА ПРЕЦЕДЕНТНЫХ ТЕКСТОВ ДЛЯ ОБУЧЕНИЯ СТУДЕНТОВ ПРОФЕССИОНАЛЬНО ОРИЕНТИРОВАННОЙ ЛЕКСИКЕ
С позиции активно развивающейся антропоцентрической парадигмы ключевое положение в обучении иностранному языку в высшей школе занимает языковая личность, в
частности, поликультурная профессиональная языковая личность, структуру и закономерности развития которой призвана осмыслить лингводидактика. Вследствие чего мы полагаем, что обучение иноязычной лексике будущего специалиста технического профиля должно проходить с учетом закономерностей становления поликультурной профессиональной языковой личности.
Прокопюк, О. В. Принципы отбора прецедентных текстов для обучения студентов профессионально ориентированной лексике / О. В. Прокопюк // Материалы ежегодной научной конференции преподавателей, аспирантов, магистрантов и студентов университета, Минск, 18-19 апреля 2019 г. / Минский государственный лингвистический университет ; редкол.: Н. П. Баранова (отв. ред.) [и др.]. - Минск, 2019. - С. 45-47.
Прокопюк, О. В. Развитие поликультурной профессиональной языковой личности как цель обучения иностранному языку студентов технических специальностей / О. В. Прокопюк // Вопросы германской филологии и методические инновации в обучении и воспитании : материалы XXIII Международной научно-практической конференции, Брест, 22 февраля 2019 г. / Брестский государственный университет им. А. С. Пушкина. - Брест : БрГУ, 2019. - С. 145-148.
Прокопюк О.В. УОБрГТУ, г. Брест, РеспубликаБеларусь
ПРИМЕНЕНИЕ ЭЛЕКТРОННЫХ ДИДАКТИЧЕСКИХ СРЕДСТВ В ЦЕЛЯХОБУЧЕНИЯ ПРОФЕССИОНАЛЬНО ОРИЕНТИРОВАННОЙ ЛЕКСИКЕ
Таким образом, использование электронных дидактических средств, характеристиками которых являются полисенсорность, виртуальность, интегративность, многоуровневость, опосредованность, вариативность и инструментальность, в качестве средств обучения в рамках обучения профессионально-ориен-тированной и ноязычной лексике позволит эффективно реализовывать принципы гипермедийной наглядности, интерактивности, доступности и посильности, индивидуализации и идифференциации процесса обучения и контроля знаний, функциональности, посильности и новизны.
Литература1.Герасимова, Е. К. Методика разработки электронных учебных материалов на основе сервисов веб 2.0 в условиях реализации ФГОС общего среднего образования : автореф. дис. ... канд. пед. наук : 13.00.02 / Е. К. Гарасимова ; Моск. гор. пед. ун-т. - М., 2015. - 24 с.
2.Соловьева, О. А. Разработка и внедрение электронных образовательныхресурсоввцеляхобученияиностраннымязыкам / О. А. Соловьева // Замежныямовы. - 2019. - No 1. - С. 10 - 15. З.Соловьева, О. А. Использование электронных средств обучения с целью формирования и совершенствования лексико- грамматических навыков учащихся старших классов / Р. В. Детскина, О. А. Соловьева // ВесшкГрДУ1мяЯ. Купалы. Сер. 3, Филология. Педагогика. Психология. - 2012. - No 1 (127). С. 98- 106.
Совокупность моделей языковой личности как единое личностное образование Шилова н.в.(г.екатеринбург) https://refdb.ru/look/3755350-p30.html
Всего начиная 1997 года по настоящее время защищено 32 диссертации из них 5 докторских, следует отметить , что 10 диссертаций посвящено вопросам средней школы и дошкольного образования, а 22 диссертации вопросам использования концепта языковая личность в высшей школе. Остановимся подробнее на второй группе.
По научным специальностям диссертации распределяются следующим образом:
* общая педагогика, история педагогики и образования (шифр 13.00.01) - 6 диссертаций;
* теория и методика обучения и воспитания (шифр 13.00.02) - 11 диссертаций;
* теория и методика профессионального образования (шифр 13.00.08) -4 диссертации.
Еще одна диссертации 1997 года проходили по специальности 13.00.06 теория и методика воспитания. Которая в действующей номенклатуре отсутствует, но в принципе могут быть отнесены к специальности 13.00.02.
Анализ первой группы 13.00.01 показывает , что диссертация на соискание ученой степени доктора педагогических наук Григорьевой-Голубевой В.А. ''Становление гуманистических ценностей педагога (в аспекте языковой личности)'' и кандидатские диссертации Ивановой Г.А. ''Педагогические основы формирования языковой личности посредством культуры иноязычного чтения''; Емельяновой З.В.'' Формирование интерактивной компетенции языковой личности при обучении иностранным языкам в неязыковом вузе''; Птицыной И.Ф. ''Педагогические условия формирования межкультурной компетенции вторичной языковой личности студентов (на материале изучения японского языка и культуры)'' в основном формированию либо языковой личности, либо отдельных её компонент. И наконец Протченко О.П. ''Формирование языковой личности учителя начальных классов в педагогическом училище''
Можно выделить диссертацию Ивановой Г.А.
Анализируя группу 13.00.02 в которой защищено подавляющее количество интересующих нас диссертаций можно выделить диссертации посвященные формированию языковой личности, это докторские диссертации Игнатовой И.Б. ''Обучение грамматическому строю русской речи иностранных студентов-филологов как основа формирования языковой личности будущего учителя''; Дорожкиной Т.Н. ''Учебно-творческий дискурс в сфере письменной коммуникации (формирование языковой личности человека пишущего)''; Халяпиной Л.П. ''Методическая система формирования поликультурной языковой личности посредством интернет-коммуникации в процессе обучения иностранным языкам''. В этом же ключе выполнены работы Дерябиной Н.А.'' Развитие языковой личности студентов в процессе изучения иностранного языка''; Лысенко Н.Е. ''Развитие языковой личности при обучении русскому и иностранному языкам в неязыковом вузе''.
Две диссертации посвящены формированию компонентов вторичной языковой личности:Андреева С.М. ''Формирование коммуникативной культуры "вторичной" языковой личности иностранных студентов-филологов в процессе обучения русскому языку (подготовительный факультет)''; Мордас С.Б. ''Формирование грамматико-коммуникативной компетенции "вторичной" языковой личности франкоговорящих иностранных студентов при изучении предложно-падежных конструкций с пространственным значением''.
В двух диссертация исследуются вопросы, относящиеся к компонентам описывающим явления характеризующие отдельный свойства феноменов, характеризующие развитие языковой личности Смыкунова Н.В. ''Прецедентные феномены в речевом общении русской языковой личности и процессе обучения русскому языку как иностранному'', или характеристики (сьтруктуры) языка влияющих на развитие языковой личности - Крайникова М.Н. ''Контактоустанавливающие единицы языка как средство развития языковой личности учащегося'' и Дрянгина Е.А. ''Обучение студентов-филологов ассоциативно-образным средствам репрезентации языковой личности учителя''.
Особый интерес представляет диссертация Абдулмяновой И.Р.'' Формирование специального двуязычного тезауруса как составляющего компонента языковой личности переводчика в экономической сфере (французский язык)'' где исследована проблема формирования тезауруса языковой личности.
Одна диссертация по специальности 13.00.06 теория и методика воспитания которая в настоящее время не входит в перечень специальностей ВАК, могут быть по своей направленности отнесены или быть близки к специальности 13.00.02.
Г.И. Быкова ''Воспитание языковой личности в процессе преподавания лингвистических и речеведческих дисциплин''. В диссертации определены понятие языковой личности студентов-словесников, ее структура и содержание, а также выявлены педагогические возможности комплекса методико-технологических средств воспитания языковой личности студентов-словесников.
Группа 13.00.08 представляет особый интерес так как тут представлены диссертации в области профессионального образования.
В первую очередь следует выделить докторскую диссертацию С.Д. Пивкина ''Самореализация языковой личности переводчика в системе дополнительного профессионального образования''.
Годунова С.Ю. Педагогические условия развития языковой личности студента технического вуза: автореф. дис. … канд. пед. наук – М., 2008. – 26 с.
Юрьева А.В. Лингвориторический идеал как фактор становления профессиональной языковой личности будущего учителя: автореф. дис. … канд. пед. наук. – Сочи, 2002. – 22 с.
Дацун Н.А. Билингвальная подготовка будущего юриста как профессиональной языковой личности (на материале изучения английского языка): автореф. дис. … канд. пед. наук. – Майкоп, 2007. – 23 с.
|![[Введение]] 825 |>|![[Клон 1 |Введение 1]] |
|![[Общая педагогика, история педагогики и образования]] 4 762 |[[Клон 1 |Общая педагогика, история педагогики и образования 1]] |![[Клон 2 |Общая педагогика, история педагогики и образования 1 1]] |
|![[Теория и методика обучения и воспитания]] 5 270 |[[Клон 1 |Теория и методика обучения и воспитания 1]] |![[Клон 2 |Теория и методика обучения и воспитания 1 2]] |
|![[Cпециальность теория и методика профессионального образования]] 5169 |[[Клон 1 |Cпециальность теория и методика профессионального образования 1]] |![[Клон 2 |Теория и методика профессионального образования 1 1]] |
<center>[[Список литературы|Список литературыСтатья.Дидактика]] ** [[Клон 2|Список литературыСтатья.Дидактика 2]]</center>
[[Вестник Российского университета дружбы народов. Серия "Психология и педагогика"]] +
!Наше название
! [[Аннотация|АннотацияСтатьяПедагогикаРУДН2020_07_08]]
!Текст
! [[Введение|ВведениеПММИ СтатьяПедагогикаРУДН2020_07_08]]
[[Старое|СтароеВведениеПММИ СтатьяПедагогикаРУДН2020_07_08]]
! [[Процедура, материалы и методы исследования|ПММИ СтатьяПедагогикаРУДН2020_07_08]]
область знания
! [[Результаты и их обсуждение|Результаты и их обсуждение СтатьяПедагогикаРУДН2020_07_08 1]]
(эмоционально - психологическая саморегуляция языковой личности) 1 2016 [ext[ссылка|https://aeterna-ufa.ru/sbornik/TiPAPP-10.pdf]]
! [[Заключение|ЗаключениеПММИ СтатьяПедагогикаРУДН2020_07_08]]
![[Список литературы|Список литературыНовая статьяПедагогика]]
[[2019|нсп2019]]
[ext[Текстовый редактор|file:///C:\Program Files\LibreOffice\program\swriter.exe]]
|[[Книги и монографии]] | [[Диссертации|ДиссертацииНовая статьяПедагогика]] | [[Статьи|СтатьиНовая статьяПедагогика]] |
| [[Концепт в публикациях]] | [ext[Стернин|http://sterninia.ru/]] | [[Образцы|ОбразцыНовая статьяПедагогика]] |
|>| [[Инструменты|ИнструментыНовая статьяПедагогика]] |<|
[ext[В текстовом редакторе локально|file:///D:\PO\ODT2\statiya1.odt]]
[ext[Статья на сайте|http://x919232q.bget.ru/wp-content/uploads/2020/07/st6.html]]
[[Графики|ГрафикиНовая статьяПедагогика]]
*[ext[ссылка|http://www.vestnik-mslu.ru/Vest/4_775.pdf]]
УДК 378
Л. В. Яроцкая
доктор педагогических наук, профессор МГЛУ; профессор кафедры лингвистики и профессиональной коммуникации в области права юридического факультета МГЛУ; e-mail: lvyar@yandex.ru
СТРАТЕГИЯ ФОРМИРОВАНИЯ ПРОФЕССИОНАЛЬНОЙ ЛИЧНОСТИ В СОВРЕМЕННОЙ ОБРАЗОВАТЕЛЬНОЙ СИТУАЦИИ
Статья посвящена рассмотрению актуального социального заказа в отношении подготовки профессиональных кадров нового поколения и аргументации на этой основе стратегии формирования современной профессиональной личности. В XXI в. дисциплина «Иностранный язык» может и должна стать системообразующим предметом профессиональной подготовки в неязыковом вузе специалиста нового поколения, необходимым инструментом профессионализации в любой предметной области. Данная возможность реализуется посредством целенаправленного использования иностранного языка как средства развития мотивационно-личностного аспекта профессионального сознания студента – важнейшей составляющей межкультурной профессиональной компетенции специалиста. Ключевые слова: студенты неязыкового вуза; профессиональная лич-ность; развитие профессионального сознания; мотивационно-личностный аспект профессионального сознания.
Yarotskaya L. V. Advanced Doctor (Pedagogy), Professor of MSLU; Professor of the Department of Linguistics and Professional Communication in the Sphere of Law, Law Faculty, MSLU; e-mail: lvyar@yandex.ru
структура зависит от серии
[[Вестник Российского университета дружбы народов. Серия "Психология и педагогика]]
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
[[Термины]]
| [[Та]] | [[Тв]] | [[Те]] | [[Ти]] | [[То]] | [[Тр]] | [[Ту]] | [[Ть]] |
|>|>|>| [[Таблица 1|Таблица 1 СтатьяПедагогикаРУДН2020_07_08]]|
| Кластер | Вхождений | Кластер | Вхождений |
|личность студента | 68 |личность специалиста | 3 |
|личность курсанта | 18 |личность военного | 4 |
|личность педагога | 12 |личность молодежи | 2 |
|личность обучающихся | 13 |личность психолога | 2 |
|личность преподавателя | 6 |личность учителя | 9 |
|личность музыканта | 4 |личность человека | 2 |
|личность сотрудника 13 | | |
|>|>|>|>|>|>|>|>|>|>|>|>| [[Таблица 10|Таблица 10 СтатьяПедагогикаРУДН2020_07_08]]|
|Год | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
|Статей | 46 | 86 | 134 | 102 | 138 | 151 |178 | 177 | 191 | 128 | 126 |
|>|>|>|>|>|>|>|>|>|>|>| [[Таблица 11|Таблица 11 СтатьяПедагогикаРУДН2020_07_08]]|
|Год | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
|Статей | 12 | 12 | 17 | 12 | 10 | 10 | 20 | 12 | 21 | 12 | 12 |
|>|>|>|>|>|>|>|>|>|>|>| [[Таблица 12|Таблица 12 СтатьяПедагогикаРУДН2020_07_08]]|
|Год | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
|Статей | 59 | 67 | 86 | 99 | 115 | 146 | 170 | 165 | 135 | 109 | 112 |
В таблице 13 приведены данные по концепту «языковая личности»
|>|>|>|>|>|>|>|>|>|>|>| [[Таблица 13|Таблица 13 СтатьяПедагогикаРУДН2020_07_08]]|
|Год | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
| Статей | 21 | 24 | 34 | 44 | 40 | 47 | 63 | 51 | 40 | 27 | 35 |
В таблице 14 приведены данные по концепту «личность преподавателя»
|>|>|>|>|>|>|>|>|>|>|>| [[Таблица 14|Таблица 14 СтатьяПедагогикаРУДН2020_07_08]]|
|Год | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
|Статей | 6 | 7 | 10 | 12 | 10 | 16 | 12 | 20 | 15 | 12 | 12 |
В таблице 15 приведены данные по концепту «саморегуляция личности»
|>|>|>|>|>|>|>|>|>|>|>| [[Таблица 15|Таблица 15 СтатьяПедагогикаРУДН2020_07_08]]|
|Год | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
|Статей |4|5|8|3|4|4|9|5|3|4|4|
В таблице 16 приведены данные по концепту «саморазвитие личности»
|>|>|>|>|>|>|>|>|>|>|>| [[Таблица 16|Таблица 16 СтатьяПедагогикаРУДН2020_07_08]]|
|Год | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
|Статей | 9 | 5 | 17 | 28 | 38 | 44 | 47 | 35 | 24 | 17 | 26 |
|>|>|>|>|>|>|>|>|>|>|>| [[Таблица 17|Таблица 17 СтатьяПедагогикаРУДН2020_07_08]]|
|Год | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
|Статей |4|5|8|3|4|4|9|5|3|4|4|
|>|>|>| [[Таблица 2|Таблица 2 СтатьяПедагогикаРУДН2020_07_08]]|
| Кластер | Вхождений | Кластер | Вхождений |
|развитие личности | 68 |идентичность личности | 6 |
|культура личности | 33 |компетентность личности | 6 |
|языковая личность | 30 |образование личности | 5 |
|формирование личности | 26 |поведение личности | 5 |
|качества личности | 26 |самоопределение личности | 5 |
|направленность личности | 22 |поддержка личности | 4 |
|становление личности | 19 |самоактуализация личности | 4 |
|воспитание личности | 16 |способности личности | 4 |
|саморазвитие личности | 12 |жизнь личности | 4 |
|потенциал личности | 12 |позиция личности | 3 |
|самореализация личности | 11 | тип личности | 3 |
|свойства личности | 11 |активность личности | 2 |
|социализация личности | 10 |изучение личности | 2 |
|творческая личность | 9 |инновационная личность | 2 |
|конкурентоспособность личности | 8 |потребности личности | 2 |
|структуры личности | 7 |совершенствование личности | 2 |
|ориентация личности | 6 |сознание личности | 2 |
|сферы личности | 6 |устойчивость личности | 2 |
|деформация личности | 6 | | |
|>|>|>|>|>| [[Таблица 3|Таблица 3 СтатьяПедагогикаРУДН2020_07_08]]|
| Коллокат| Ранг | F| F1 | Fr | St |
|Развития| 445 | 100| 75| 25| 8.56369 |
|Развитие| 463 | 56| 41| 15| 8.54432 |
|Развитии| 507| 15| 12 | 3| 8.45121 |
|>|>|>|>|>| [[Таблица 4|Таблица 4 СтатьяПедагогикаРУДН2020_07_08]]|
| Коллокант | Ранг | F | F1 | Fr | St |
|Студента | 525 | 51 | 8 | 43 | 8.44416 |
|Студентов | 591 | 57 | 11 | 46 | 8.18081 |
|Студентами | 756 | 1 | 0 | 1 | 8.12928 |
|>|>|>|>|>| [[Таблица 5|Таблица 5 СтатьяПедагогикаРУДН2020_07_08]]|
| Коллокант | Ранг | F | F1 | Fr | St |
|Культурной | 335 | 5 | 4 | 1 | 8.86625 |
|Культура | 424 | 22 | 13 | 9 | 8.68182 |
|Культуре | 471 | 4 | 2 | 2 | 8.54432 |
|Культуры | 526 | 78 | 54 | 24 | 8.43741 |
|>|>|>|>|>| [[Таблица 6|Таблица 6 СтатьяПедагогикаРУДН2020_07_08]]|
| Коллокант | Ранг | F | F1 | Fr | St |
|Языковая | 10 |2 | 1 | 1 | 9.12928 |
|Языковой | 551 | 37 | 32 | 5 | 8.38454 |
|Языковых | 1520 | 1 | 0 | 1 | 7.12928 |
|>|>|>|>|>| [[Таблица 7|Таблица 7 СтатьяПедагогикаРУДН2020_07_08]]|
|Коллокант | Ранг | F | Fl | Fr | St |
|Курсанта | 402 | 6 | 1 | 5 | 8.71425 |
|Курсантов | 588 | 21 | 3 | 18 | 8.19967 |
|>|>|>|>|>| [[Таблица 8|Таблица 8 СтатьяПедагогикаРУДН2020_07_08]]|
| Коллокант | Ранг | F | Fl | Fr | St |
|Педагога | 570 | 29 | 9 | 20 | 8.34341 |
|Педагогов | 989 | 9 | 2 | 7 | 8.12928 |
|Педагог | 996 | 1 | 1 |0| 8.12928 |
|>|>|>|>|>| [[Таблица 9|Таблица 9 СтатьяПедагогикаРУДН2020_07_08]]|
|Коллокант | Ранг | F | F1 | Fr | St |
|Саморегуляции | 378 | 3 | 2 | 1 | 8.71425 |
|Самореализация | 379 | 6 | 4 | 2 | 8.71425 |
|Самоуправления | 838 | 1 | 1 | 0 | 8.12928 |
|Самость | 839 | 1 |0 | 1 | 8.12928 |
|Самостоятельная | 840 | 1 | 0 | 1 | 8.12928 |
|Самосовершенствование | 841 | 1 | 1 | 0 | 8.12928 |
|Самореализацию | 842 | 1 | 1 | 0 | 8.12928 |
|Саморазвитию | 843 | 1 | 0 | 1 | 8.12928 |
|Самооценку | 844 | 1 | 1 | 0 | 8.12928 |
|Самооценка | 845 |1 | 1 | 0 | 8.12928 |
|Самоотношения | 846 | 2 | 1 | 1 | 8.12928 |
|Самоотношением | 847 | 1 | 1 | 0 | 8.12928 |
|Самоорганизации | 848 | 1 | 1 | 0 | 8.12928 |
|Самоопределяющий | 849 | 1 | 1 | 0 | 8.12928 |
|Самоопределению | 850 | 1 | 1 | 0 | 8.12928 |
|Самообразование | 851 | 1 | 1 | 0 | 8.12928 |
|Самоконтроля | 852 | 1 | 1 | 0 | 8.12928 |
|Самодеятельном | 853 | 1 | 0 | 1 | 8.12928 |
|Самовосприятия | 854 | 1 | 0 | 1 | 8.12928 |
|Самовоспитания | 855 | 2 | 1 | 1 | 8.12928 |
|Самоактуализирующейся | 856 | 1 |1 | 0 | 8.12928 |
[ext[ссылка|https://yadi.sk/i/ClYUU1EEAq50Mw]]
!! ''1 редактор''
```
import tkinter
from tkinter.filedialog import asksaveasfile, askopenfile
from tkinter.messagebox import showerror
FILE_NAME = tkinter.NONE
def new_file():
global FILE_NAME
FILE_NAME = "Untitled"
text.delete('1.0', tkinter.END)
def save_file():
data = text.get('1.0', tkinter.END)
out = open(FILE_NAME, 'w')
out.write(data)
out.close()
def save_as():
out = asksaveasfile(mode='w', defaultextension='.txt')
data = text.get('1.0', tkinter.END)
try:
out.write(data.rstrip())
except Exception:
showerror(title="Oops!", message="Unable to save file....")
def open_file():
global FILE_NAME
inp = askopenfile(mode="r")
if inp is None:
return
FILE_NAME = inp.name
data = inp.read()
text.delete('1.0', tkinter.END)
text.insert('1.0', data)
root = tkinter.Tk()
root.title("JPad v0.1b")
root.minsize(width=400, height=400)
root.maxsize(width=400, height=400)
text = tkinter.Text(root, width=400, height=400)
text.pack()
menuBar = tkinter.Menu(root)
fileMenu = tkinter.Menu(menuBar)
fileMenu.add_command(label="New", command=new_file)
fileMenu.add_command(label="Open", command=open_file)
fileMenu.add_command(label="Save", command=save_file)
fileMenu.add_command(label="Save As", command=save_as)
fileMenu.add_separator()
fileMenu.add_command(label="Exit", command=root.quit)
menuBar.add_cascade(label="File", menu=fileMenu)
root.config(menu=menuBar)
root.mainloop()
```
!! ''2 редактор''
[ext[ссылка|https://python.su/forum/topic/34489/]] на первоситочник
```
from tkinter import *
from tkinter import messagebox
from tkinter import filedialog
import time
from datetime import datetime
def popup(event):
pmenu.tk_popup(event.x_root, event.y_root)
def app():
messagebox.showinfo('About the App','Название программы Notepad\nVersion 0.1\nMade on Python 3.6.2 in 06.01.2018')
def author():
messagebox.showinfo('About the Author','The Author of the programm is *********\nThanks for using us!')
def close(event=None):
wn.destroy()
def newfile(event=None):
wn.title('Untitled.txt') #Nameless.txt
field.delete(1.0, END)
def openfile(event=None):
filename = filedialog.askopenfilename()
pos = filename.rfind('/') + 1
newName = filename[pos:]
file = open(filename, 'r')
content = file.read()
field.delete(1.0, END)
field.insert(1.0, content)
file.close()
wn.title(newName)
def savefile(event=None):
filename = filedialog.asksaveasfilename()
file = open(filename + '.txt', 'w')
content = field.get(1.0, END)
file.write(content)
file.close()
def cut():
field.event_generate('<<Cut>>')
def copy():
field.event_generate('<<Copy>>')
def paste():
field.event_generate('<<Paste>>')
def undo():
field.event_generate('<<Undo>>')
def redo(event=None):
field.event_generate('<<Redo>>')
def delete():
field.event_generate('<<Clear>>')
def selectall():
field.event_generate('<<SelectAll>>')
def time_and_date(event=None):
field.insert(END, datetime.now())
wn = Tk()
wn.geometry('400x400')
wn.title('Notepad')
menubar = Menu()
wn.config(menu=menubar)
fmenu = Menu(menubar)
menubar.add_cascade(label='File', menu=fmenu)
fmenu.add_command(label='New File', accelerator='Ctrl+N', command=newfile)
fmenu.add_command(label='Open', accelerator='Ctrl+O', command=openfile)
fmenu.add_command(label='Save As', accelerator='Ctrl+S', command=savefile)
fmenu.add_command(label='Close', accelerator='Ctrl+Q', command=close)
editmenu = Menu(menubar)
menubar.add_cascade(label='Edit', menu=editmenu)
editmenu.add_command(label='Cut', accelerator='Ctrl+X', command=cut)
editmenu.add_command(label='Copy', accelerator='Ctrl+C', command=copy)
editmenu.add_command(label='Paste', accelerator='Ctrl+V', command=paste)
editmenu.add_command(label='Undo', accelerator='Ctrl+Z', command=undo)
editmenu.add_command(label='Redo', accelerator='Shift+Ctrl+Z',command=redo)
editmenu.add_command(label='Delete', accelerator='Del', command=delete)
editmenu.add_command(label='Select All', accelerator='Ctrl+A', command=selectall)
editmenu.add_command(label='Time and Date', accelerator='Ctrl+Tab',command=time_and_date)
aboutmenu = Menu(menubar)
menubar.add_cascade(label='About', menu=aboutmenu)
aboutmenu.add_command(label='About the App', command=app)
aboutmenu.add_command(label='About the Author', command=author)
setingsmenu = Menu(menubar)
menubar.add_cascade(label='Setings', menu=setingsmenu)
field = Text(wn)
field.pack()
pmenu = Menu(field)
pmenu.add_command(label='Cut', accelerator='Ctrl+X', command=cut)
pmenu.add_command(label='Copy', accelerator='Ctrl+C', command=copy)
pmenu.add_command(label='Paste', accelerator='Ctrl+V', command=paste)
pmenu.add_command(label='Select All', accelerator='Ctrl+A', command=selectall)
pmenu.add_command(label='Undo', accelerator='Ctrl+Z', command=undo)
pmenu.add_command(label='Redo', accelerator='Shift+Ctrl+Z', command=redo)
field.bind('<Button-3>', popup)
field.bind('<Control-n>', newfile)
field.bind('<Control-o>', openfile)
field.bind('<Control-s>', savefile)
field.bind('<Control-Z>', redo)
field.bind('<Control-Tab>', time_and_date)
field.bind('<Control-q>', close)
```
!! Заграничный
[ext[ссылка|https://github.com/Pachwenko/tkinter-text-editor]]
[ext[ссылка|https://youtu.be/7PGFin30c4o]]
[ext[ссылка|https://youtu.be/DDFHtTIPvZ0]]
!!Языковая личность
* [[Русский язык и языковая личность|Караулов]]
* [[О термине «языковая личность»: истоки, проблемы, перспективы использования|Иванцова Е. В.]]
* [[Проблемы формирования языковой личности студентов в процессе обучения]]
* [[Роль профессионально-ориентированной среды в формировании языковой личности студентов в вузе]]
* [[Аббревиатуры в структуре профессиональной англоязычной личности бизнесмена|Иванова М.А.]]
* [[Метод самонаблюдения в исследовании языковой личности медиатора|Киндеркнехт]]
* [[Психолингвистическая модель профессионального самоопределения личности]]
* [[Языковая профессиональная личность]]
* [[Теоретико-методологические аспекты теории языковой профессиональной личности]]
* [[Автореферат Мыскин]]
* [[Основы теории обучения пониманию иноязычной речи |Халеева]]
!! Профессиональная языковая личность
* [[Профессиональная языковая личность будущего инженера: теоретический аспект|Елохова, Романенко]]
* [[Формирование коммуникативного имиджа будущего инженера средствами языковой подготовки|Игнатова. Мартьянова]]
!!! Терминоведы
* [[Введение в когнитивное терминоведение]]
* [[Формирование профессионального тезауруса личности как цель профессионального образования]] Абдулмянова И.Р
*
!! Дискурс инженера
!!!! Проблемы инженерного дискурса и технической коммуникации
!! Проблемы инженерного дискурса и технической коммуникации
[ext[ссылка|http://docplayer.ru/35314444-Problemy-inzhenernogo-diskursa-i-tehnicheskoy-kommunikacii-s-b-veledinskaya-kand-filol-nauk-docent-kafedry-lip.html]]
!! Иноязычная профессиональная коммуникация как ключевой элемент гуманитарной подготовки инженера будущего
[ext[ссылка|https://cyberleninka.ru/article/n/inoyazychnaya-professionalnaya-kommunikatsiya-kak-klyuchevoy-element-gumanitarnoy-podgotovki-inzhenera-buduschego]]
!! ИНЖЕНЕРНЫЙ ДИСКУРС
* [ext[ИНЖЕНЕРНЫЙ ДИСКУРСРАЗДЕЛ 1.|http://portal.tpu.ru:7777/SHARED/v/VELEDINSKAYASB/students/Tab2/Part1.pdf]]
* [ext[ИНЖЕНЕРНЫЙ ДИСКУРС КАК ИНСТИТУЦИОНАЛЬНЫЙ ДИСКУРС|http://portal.tpu.ru:7777/SHARED/v/VELEDINSKAYASB/students/Tab2/Part3.pdf]]
!!!! Инженерный дискурс в рамках коммуникативно-когнитивной парадигмы
*[ext[ссылка|https://cyberleninka.ru/article/n/inzhenernyy-diskurs-v-ramkah-kommunikativno-kognitivnoy-paradigmy]]
*[[текст|Инженерный дискурс в рамках коммуникативно-когнитивной парадигмы]]
!!!! Методика обучения русскому языку иностранных учащихся инженерного профиля в условиях лингводидактики XXI века
*[ext[ссылка|https://cyberleninka.ru/article/n/metodika-obucheniya-russkomu-yazyku-inostrannyh-uchaschihsya-inzhenernogo-profilya-v-usloviyah-lingvodidaktiki-hhi-veka]]
*[[текст|Методика обучения русскому языку иностранных учащихся инженерного профиля в условиях лингводидактики XXI века]]
!!!!Опыт создания словаря русских глаголов и глагольных форм на материале текстов дисциплин инженерного профиля
*[ext[ссылка|https://cyberleninka.ru/article/n/opyt-sozdaniya-slovarya-russkih-glagolov-i-glagolnyh-form-na-materiale-tekstov-distsiplin-inzhenernogo-profilya]]
!! Портрет
* [[Языковой портрет]]
* [[Теоретические основания русской семантической персонологии: объект и метод|Башкова]]
* [[Речевой портрет современного студента: характеристика словарного запаса]]
*[[Языковой портрет современного финансиста]] !! Языковое сознание
*[[Диссертация Мыскин]]
*[[Введение в теорию профессионального языкового сознания: Монография.]] !! Другое
*[[Билингвальная профессиональная компетенция как условие успешной межкультурной коммуникации |https://cyberleninka.ru/article/n/bilingvalnaya-professionalnaya-kompetentsiya-kak-uslovie-uspeshnoy-mezhkulturnoy-kommunikatsii]]
*[[Лингвокогнитивное исследование номинаций профессионального деятеля в авиационной сфере|https://cyberleninka.ru/article/n/lingvokognitivnoe-issledovanie-nominatsiy-professionalnogo-deyatelya-v-aviatsionnoy-sfere]] Бондарчук
---
[[Саморегуляция]]
! Теоретико-методологические аспекты теории языковой профессиональной личности
*[ext[ссылка KL|https://cyberleninka.ru/article/n/teoretiko-metodologicheskie-aspekty-teorii-yazykovoy-professionalnoy-lichnosti]]
*[ext[ссылка eL|https://elibrary.ru/item.asp?id=23063080]]
УДК 81'276.6
ТЕОРЕТИКО-МЕТОДОЛОГИЧЕСКИЕ АСПЕКТЫ ТЕОРИИ ЯЗЫКОВОЙ ПРОФЕССИОНАЛЬНОЙ ЛИЧНОСТИ
С.В. Мыскин
ГБОУ ВПО «Московская академия рынка труда и информационных технологий» ул. Молодогвардейская, 46-1, Москва, Россия, 121351
В статье представлены основания междисциплинарного исследования явления «языковая профессиональная личность». Автор систематизирует ряд теорий и концепций в качестве онтологических предпосылок. Исследование осуществляется с использованием методологической триангуляции.
Ключевые слова: языковая профессиональная личность; междисциплинарное исследование; онтологическая предпосылка; методологическая триангуляция; теория; концепция.
Расширение опыта, знаний и представлений о человеке и языке в профессиональной деятельности требует переосмысления объекта лингвистики и проведения междисциплинарного исследования такого явления как «языковая профессиональная личность».
Профессиональный рельеф современного развивающегося российского общества в значительной мере определяется особенностями системы общественного разделения труда. В различные исторические периоды одни виды профессиональной деятельности утрачивают свою роль в разделении труда, а другие, наоборот, становятся передовыми. Наряду с отмечаемой сменой иерархии существующих видов профессиональной деятельности появляются новые. Их реализация сочетается с наибольшей социальной и психологической сложностью, поскольку данные виды труда еще не обладают прочными связями в системе сложившихся производственных отношений. Движение видов профессиональной деятельности в конкретный исторический период и характеризует особенности системы общественного разделения труда. Причем такая трансформация обусловлена действием внешних (политические, экономические, культурные) и внутренних (менталитет, общественное сознание) факторов общественной жизни.
Общественное разделение труда несет в себе не только дифференцирующую, но и интегрирующую функцию. Общие организационные цели возможно достичь лишь в условиях коллективного труда. В совместную деятельность включаются профильные специалисты — носители различных профессиональных культур, организовать коллективный труд которых возможно только в общении. Е.Ф. Тарасов так характеризует определяющую роль общения в коллективной деятельности: «общение есть знаковая активность сотрудничающих личностей, конечная цель которой — организация совместной деятельности» [1. С. 20].
Данное обстоятельство придает особую значимость процессу профессионального общения разнопрофильных специалистов. Профессиональное общение организуется в соответствии с целями деятельности, где определяющими успеха являются не только понимание тезауруса партнера, но и степень согласованности действий, образов профессионального мира.
На существование отличий языковых профессиональных сознаний в свое время указывал И.Г. Гердер, который описывает связь языка с родом занятий человека следующим образом: «Пастух видит природу одними глазами, охотник, рыбак — другими...» [2. С. 203]. При этом на эффективность процесса влияют особенности языковой личности, которые и создают уникальность профессионального общения того или иного специалиста. Такой антропоцентрический подход формирует интерес к изучению не столько системно-структурных аспектов профильного языка, сколько роли говорящей личности в процессе профессионального общения, т.е. «живого языка» специалиста [3. С. 13].
Следовательно, в фокусе исследовательского внимания должно находиться такое лингвистическое явление, наполнение которого включало бы не только языковые аспекты профессионального общения, но и психологические, социальные стороны речевой деятельности специалиста. Такое явление можно обозначить как языковая профессиональная личность. Из этого следует, что в нашей познавательной деятельности языковая профессиональная личность является объектом исследования.
Далее необходимо определить предмет нашего исследования. А.М. Новиков и Д.А. Новиков отмечают, что «предмет исследования — это та сторона, тот аспект, та точка зрения, „проекция", с которой исследователь познает целостный объект, выделяя при этом главные, наиболее существенные (с точки зрения исследователя) признаки объекта» [4. С. 117]. Следовательно, выделение и систематизация существенных признаков языковой профессиональной личности позволяет обозначить предмет данного научного познания.
Прежде чем сформулировать предмет исследования, целесообразно определить главное направление научного поиска языковой профессиональной личности, которое создает предметную область нашей работы. Выше было отмечено, что действующий в организациях профессиональный язык направлен на организацию различных видов профессиональной деятельности (от бухгалтерии и экономики, до менеджмента и психологии), что указывает на мультипрофильный характер языковой личности специалиста. Значит, языковая профессиональная личность способна интегрировать различные профильные языки, что непременно отражается на ее структуре, содержащей как общепрофессиональные компоненты, так и присущие только профильной деятельности. Сложность строения языковой профессиональной личности предполагает системный характер ее отношений в трудовой реальности. В связи с этим возникает необходимость анализа свойств языковой профессиональной личности, входящих в другие предметные области знания, например, психолингвистические аспекты, связанные с восприятием и декодированием общающимися специальных кодов, а также выбором языковых средств и речевых приемов для производства профессиональных речевых произведений. Не менее важным в условиях профессионального общения являются психологические и социально-психологические стороны реализации групповых языковых норм, связанных с процессами групповой идентификации и поддержания корпоративной культуры.
Вместе с тем традиционно языковая личность характеризуется как объект лингвистики [5]. Однако теоретико-методологический инструментарий одной лишь лингвистики не позволяет в полной мере изучить весь спектр системных связей языковой личности профессионала. Еще одним поводом к системному рассмотрению языковой профессиональной личности является мультиконтексту-альность этого феномена. В лингвистике категория языковой личности подразумевает описательную многоуровневую структуру определенной совокупности речевых произведений. В психологии контекстом данной категории выступает личностная особенность говорящего (например, способность личности к реализации набора языковых компетенций).
В социальной психологии языковая личность может рассматриваться в терминах групповой языковой нормы и групповой языковой идентификации. Психолингвистика изучает языковую личность путем исследования особенностей речевой деятельности субъекта. Как видно, языковая личность как инструмент анализа компетенций говорящего включает объективные, нормативные и рефлексивные характеристики, что подчеркивает ее комплексность. Следовательно, при разработке проблематики языковой профессиональной личности, раскрытия ее комплексного и многоаспектного характера главным направлением нашей работы является использование междисциплинарного подхода с опорой на методологический аппарат лингвистики, психолингвистики, психологии и социальной психологии.
Такой подход создает междисциплинарную основу предмета исследования, где лингвистические, психолингвистические, психологические и социально-психологические закономерности развития языковой профессиональной личности отражают ее сущностные черты, значимые свойства и связи с другими явлениями. Причем важным представляется создание такой структуры предмета познания, которая обеспечивает: возможность интерпретировать знания, получаемые в процессе исследования; формулировать познавательные задачи, а также возможности решения методами соответствующих дисциплин; определить границы научного поиска, обеспечивающие расширение предмета исследования и одновременно не позволяющие выйти за пределы предметной области. Исходя из этого предмет нашего научного исследования образован взаимодействием различных подходов к анализу языковой профессиональной личности:
— лингвистический подход позволяет выделить структуру языковой профессиональной личности, создать функциональную модель профессионального общения;
— психолингвистический подход дает возможность раскрытия процесса формирования образа профессионального мира, развития языкового профессионального сознания специалиста как участника совместной деятельности, анализа речевых профессиональных произведений;
— психологический подход раскрывает закономерности социализации языковой профессиональной личности в мире труда и профессии, а также прагматические аспекты профессионального общения;
— социально-психологический подход показывает специфику речевого поведения человека как представителя конкретной профессиональной группы и организации.
Систематизация признаков, выделенных посредством применения данных научных подходов, обеспечивает формулирование предмета исследования языковой профессиональной личности и дальнейшую ориентировку при построении экспериментальной деятельности.
Итак, предметом нашего исследования является процесс формирования образа профессионального мира языковой личности в условиях профессионального дискурса разнопрофильных специалистов, включенных в совместную деятельность. Здесь процесс формирования образа профессионального мира связан с анализом психических процессов восприятия и мышления, что возможно с использованием психологического инструментария. В свою очередь, образ мира, как содержание языкового сознания, формируется при восприятии речевых произведений (письменных и устных), изучение которых входит в сферу научных интересов психолингвистики.
Понятие и структура языковой личности представлены теоретическим аппаратом лингвистики, а дискурс наряду с лингвистическими аспектами возможно проанализировать с психолингвистической позиции. Причем коннотативные аспекты профильного дискурса содержат социально-психологические признаки, ведь каждый работник является членом организованной группы, носителем языкового сознания конкретного профессионального речевого коллектива.
Системообразующим признаком вышеперечисленных аспектов предмета исследования выступает деятельность — основное общеметодологическое понятие всех используемых нами научных подходов.
Следующим аспектом построения структуры нашего научного исследования выступает создание онтологической основы для изучения языковой профессиональной личности, включающей онтологические предпосылки данной проблемы. Оценка современного состояния научной проработанности проблемного поля профессионального общения и профессиональной деятельности позволяет утверждать, что до настоящего момента понятие «языковой профессиональной личности» фундаментально не рассматривалось ни в лингвистике, ни в других смежных науках. Это связано, как было указано выше, с существующими ограничениями предмета языковедения. В связи с этим целесообразно рассмотреть онтологические основания для разработки данной проблемы, т.е. определить содержательные, аксиологические и генетические связи проблемы языковой профессиональной личности с проблемами, ранее решенными и признанными в науке. Причем при доказательстве выдвигаемых гипотез мы будем руководствоваться принципом достаточного основания, который будет характеризовать истинность полученного научного знания: «...всякая истинная мысль должна быть обоснована другими мыслями, истинность которых доказана» [4. С. 38].
Для определения онтологических оснований разработки проблемы языковой профессиональной личности рационально использовать методологическую триангуляцию, суть которой заключается вкомбинировании качественных и количественных методов при проведении исследования [6]. В современной психологии под триангуляцией понимается «использование данных из различных источников, различными методами сбора данных и различными исследователями, по возможности всеми триангуляционными техниками, обладающими необходимой надежностью» [7. Р. 404].
Использование триангуляционного подхода в данной работе позволяет соединить преимущества лингвистической, психолингвистической, психологической, социально-психологической научных школ и на их основе получить надежные теоретические и эмпирические данные о проблеме языковой профессиональной личности. Так Е. Митчелл указывает на то, что триангуляция максимизирует сильные стороны и минимизирует слабости каждого отдельного подхода, а также предоставляет возможность подвижного и глубинного исследования, которой лишен ряд других методов [8].
В нашей работе создание исследовательской модели опирается на критический анализ теорий и концепций, позволяющих определить, с одной стороны, основные признаки языковой профессиональной личности, а с другой — основные идеи в области деятельности, общения, личности, менеджмента, организаций и др., содержащие указания на взаимосвязь предмета исследования с другим решенными и решаемыми проблемами. Другими словами, анализ того или иного онтологического основания будет сопровождаться формулировкой познавательной пользы для решения проблемы языковой профессиональной личности.
Итак, онтологической основой исследования являются следующие теории и концепции, обеспечивающие комплексный характер изучения проблемы языковой профессиональной личности.
1. Исследование языковой профессиональной личности предполагает изучение языка и речи специалистов. Здесь первостепенной задачей является создание такой модели исследования, которая описыват речевую деятельность профессионала в системе категорий, приемлемых для любой из наук, занимающихся ее изучением, в том числе лингвистики, психолингвистики, социальной психологии и психологии. Это возможно, если рассматривать профессиональную речь в категориях психического отражения и деятельности. Наиболее полное представление о психической деятельности изложено в работах А.Н. Леонтьева. Следовательно, для описания закономерностей речевой деятельности специалиста мы будем опираться на концептуальный инструментарий общепсихологической теории деятельности А.Н. Леонтьева [9]. Автор стоит на позиции предопределяющей роли активности индивида в процессе развития психики, что позволяет нам охарактеризовать языковую личность как «человека говорящего», которому отводится активная роль в языковом профессиональном становлении. В общепсихологической теории деятельности аналитик опирается на схему «субъект — деятельность — объект», где деятельность опосредствует взаимосвязи субъекта и объекта. Такая функция деятельности вскрывает ее двоякость: с одной стороны, в деятельности порождается психическое отражение мира, т.е. происходит переход отражаемого в психическое отражение, а с другой стороны, деятельность сама
управляется психическим отражением. Следовательно, для формирования полноценного представления о деятельности профессионала необходимо раскрыть природу психического образа. Это возможно при обращении к анализу связи психического образа и практического действия.
А.Н. Леонтьев подчеркивает неоднозначную зависимость между предметным действием и управляющим им представлением, т. к. объективный мир, выраженный во внешних предметах, «сопротивляется» предметной деятельности человека, тем самым отклоняя, изменяя и обогащая ее. Другими словами, «в деятельности происходит размыкание круга психических процессов навстречу объективному предметному миру» [9. С. 10]. Таким образом, основываясь на принципах общепсихологической теории деятельности, можно систематизировать те психические процессы и состояния человека трудящегося, которые обеспечивают формирование языковой профессиональной личности, а также описать роль профессиональной речевой деятельности в процессе ориентации личности в мире труда.
2. Основной лингвистической концепцией, способной осуществить системный анализ «человека говорящего» в условиях профессиональной деятельности, по нашему мнению, выступает теория языковой личности Ю.Н. Карау-лова [5]. Автор разработал модель языковой личности, в которой обозначил в качестве отправной точки ее анализа когнитивные, интеллектуальные аспекты человека. «Интеллект наиболее интенсивно проявляется в языке и используется через язык (...). На уровне ординарной языковой семантики, на уровне смысловых связей слов, их сочетаний и лексико-семантических отношений еще нет возможностей для проявления индивидуальности (...). Следовательно, языковая личность начинается по ту сторону обыденного языка, когда в игру вступают интеллектуальные силы... » [Там же].
Ю.Н. Караулов и его последователи рассматривают языковую личность как объединение способностей человека и особенностей порождаемых им текстов: «Языковая личность — это совокупность способностей и характеристик человека, обусловливающих восприятие и создание им речевых произведений (текстов), которые различаются степенью структурно-языковой сложности, глубиной и точностью отражения действительности, определенной целевой направленностью» [Там же]. Данная формулировка позволяет выделить в языковой профессиональной личности одновременно несколько аспектов ее изучения: психологический, деятельностный, социальный и лингвистический. Так, опора на процесс восприятия профессиональных текстов (письменных и устных) представляет человека как субъекта социальной профессиональной коммуникации. Лингвистический аспект проявляется в системно-структурной организации профессиональных текстов. Профессиональные тексты закрепляют на языковом уровне профессиональную картину мира как результат отражения субъектом объективной действительности, что обуславливает психологический взгляд на языковую профессиональную личность. И, наконец, выделение цели в текстах дает возможность охарактеризовать языковую профессиональную личность с позиции речевой деятельности.
3. Следующим онтологическим основанием, на который мы опираемся в своем научном исследовании, выступает концептуальная идея об интериоризации внешних процессов Л.С. Выготского. Л.С. Выготский раскрывает психологическую сущность интериоризации через закономерности перехода от непсихического к психическому, т.е. как внешние формы деятельности в результате ин-териоризации становятся психическими процессами индивида. Данный процесс, по мнению аналитика, обеспечивает внутреннюю речь человека, а также возможность оперировать образами предметов, отсутствующих в данный момент в поле зрения. Кроме того, Л.С. Выготский указывает на определяющую роль интериори-зации при формировании сознания. В своих рассуждениях автор исходит из того, что в общении происходит формирование социальных структур сознания. Причем формирование происходит путем усвоения социальных отношений, закрепленных в структуре общения и выраженных знаками. Перешедшие во внутренний план (интериоризация) знаки формируют базовые структуры сознания [10].
Применительно к нашему исследованию учение об интериоризации позволяет объяснить формирование социальных структур профессионального сознания в процессе перехода профессиональных знаний, умений и навыков, выраженных в речевой форме во внутренний психологический план будущего специалиста. Также интериоризационные процессы способствуют глубокому пониманию функции профессиональных текстов, заключающейся в обеспечении выполнения умственных профессиональных действий.
4. Изучение языковой профессиональной личности невозможно без анализа профессионального сознания. Наиболее близкой к позициям нашего научного исследования выступает философская концепция сознания М.К. Мамардашви-ли [11]. Свое учение о сознании автор начинает с утверждения, что знания о человеке в этом мире возможно получить, используя лишь его опыт жизни, выраженный в суждениях и осознаваемых состояниях самого субъекта. Сообщая действием или словом о выполнении или воплощении определенных содержаний и смыслов, человек выделяет себя в качестве субъекта, который и сам входит в состав процессов мира. Любой опыт человека, после деятельностной проработки и рефлексии, «закрепляется в теле живых существ» и становится необратимым. Механизм необратимости есть главная характеристика опыта. Именно необратимость хода вещей и делает субъективность реальностью. Для нашей работы это означает, что исследование языковой профессиональной личности происходит с опорой на знания испытуемого о своих состояниях или их начальных условиях, сообщаемых ему материальным или вербальным способом.
Данная теоретическая позиция позволяет выделить продуктивность психического, его реальное выражение. Ключом к реальному здесь может быть лишь расширенное понятие объективности, способное включить в свою орбиту также и описание психического, «...естественные проявления которого содержат в себе отложения субъективно-деятельностных трансформаций действительности» [11. С. 7]. Следовательно, поведение человека можно рассматривать как объективированную проекцию предметов (психических функций), как вынесенные в реальность перевоплощения их практического функционирования. Таким образом, выделяются процессы, позволяющие нам узнавать и анализировать функционирование субъективности по предметам внешнего субъекту мира.
Важным постулатом философской концепции выступает многослойность сознания. По М.К. Мамардашвили, субъект удваивает мир, проникая в «четвертое измерение» своими квазивещами (установки, схемы, образы, мнимости и т.п.). При этом фундаментальные перцептивные категории — пространство, время, движение, форма, цвет, распределение яркостей и т.п. — служат ему практическими ориентирами, фундаментом его практической деятельности и редко становятся предметом рефлексии. Человек как бы перемещается в мир значений и концептов, рефлектирует по поводу верхних слоев построенного им мира, сознательно оперируя предметными образами, знаками, словами, символами, смыслами, хотя совершенно не подлежит сомнению, что фундаментальные перцептивно-динамические категории, вещественно-смысловые образования, ранее освоенные им, он продолжает использовать в скрытой форме.
Но справедливо и то, что субъект порождает новые образы, создает новые конструкции, схемы, модели и понятия, что пространственно-временные квазивещественные конструкции обладают и генеративной силой. Эти порожденные психические конструкции (еще до их объективации или фиксации в материале) предстают перед мысленным взором субъекта как вполне реальные, зримые, осязаемые образования. Именно потому они и могут служить основой последующей объективации, экстериоризации, реального воплощения.
Новое знание о мире меняет не только когнитивную сферу, но изменяет и познающего субъекта. Именно в этом содержится залог единства познания (обучения) и формирования (воспитания). Новое знание включает в себя также и то, что на его основании может сделать субъект не только с окружающими предметами, но и с самим собой. И не только может, но и должен сделать именно он сам, самолично. Поэтому нам представляется, что предложенное понимание психического имеет самое близкое отношение не только к проблематике формирования профессионального языкового и неязыкового сознания, но и к порождению языковой профессиональной личности.
5. Представление о языковой профессиональной личности не будет целостным без раскрытия особенностей перцепции и функционирования профессиональных текстов. Решение данной задачи возможно осуществить на основе теории художественной речи В.В. Виноградова, в которой исследователем подробно рассмотрена проблема «образа автора» в художественной литературе [12]. В своей теории В.В. Виноградов отмечает, что при изучении языка художественной литературы выделяют следующие ключевые проблемы: язык (стиль) художественного произведения и язык (стиль) писателя. Обе они обусловлены понятием «индивидуальный стиль», которое представляет собой единую систему средств и форм словесного творческого выражения. Более глубокий языковедческий анализ дополняет эту дефиницию тем, что в стиле художественного произведения и образе его автора отражено «отношение писателя к литературному языку своей эпохи, к способам его понимания, преобразования и поэтического использования» [12. С. 126—127]. Такой подход позволяет представить индивидуальный стиль как особое литературно-художественное единство элементов стиля, принципов эстетического отбора и сочетаний форм литературной речи, обусловленных общими тенденциями художественной литературы конкретной эпохи. При этом, как замечает В.В. Виноградов, язык художественной литературы находится в динамических отношениях с литературным и разговорным языками, а также с диалектами, которые изменяются вместе с историческим развитием культуры литературной личности [Там же].
В нашей работе воззрения В.В. Виноградова позволят сформировать понимание о функционировании профессиональных речевых произведений, механизмах отбора и сочетания элементов профессиональной речи, обусловленных целями и задачами профессионального общения и совместной профессиональной деятельности. Другим, не менее важным исследовательским приобретением являются результаты анализа взаимодействия различных профильных языков, включенных в совместную деятельность. Таким образом, теория художественной речи в нашем исследовании выполняет функцию методологической схемы для построения теории языковой профессиональной личности.
6. Для описания интегративных особенностей индивидуальных психических процессов мы опираемся на концепцию социальной детерминации речевой деятельности Л.М. Веккера [13].
Основным интегратором психики на уровне человеческого сознания, по мнению автора, является речь. Основанием для такого выводя является тот факт, что «...выполняя важнейшую функцию в формировании и интегрировании сознательного уровня человеческой психики, речь охватывает и все другие уровни и даже выходит за пределы собственно психических форм мозговой деятельности» [13. С. 307]. Причем речевая деятельность отличается от всех других процессов (памяти, мышления, восприятия и пр.) прежде всего тем, что не проявляет двойственности участия в организации психики человека и животного, а также имеет сугубо социально-психологический характер происхождения.
Отмеченные отличительные особенности указывают, что речь по своей организации и существу является процессом не индивидуально-психологическим, а социально-психологическим и на любых этапах фило- и онтогенеза рассматривается как коммуникативный акт. Л.М. Веккер вводит в структуру коммуникативного акта термин «групповой субъект» и обосновывает это следующим. Социальная обусловленность общения не позволяет выделить в качестве носителя целостного речевого акта индивидуального субъекта. Последний становится носителем речи как одного из психических процессов только вторично, когда интерпсихическая функция становится интрапсихической. Именно здесь речь из социально-психологического переходит в индивидуально-психологическое, и становится интегратором психики. Данное обстоятельство дает право утверждать, что внутрииндивидуальные закономерности организации речевого процесса «...могут быть поняты только исходя из интериндивидуальной, т.е. социально-психологической природы речи, из речевой деятельности как деятельности общения, компонентом которого выступает речевая деятельность индивидуального субъекта» [Там же]. Значит, носителем целостной, замкнутой структуры коммуникативного акта является «групповой субъект», а субъект индивидуальный — носителем лишь части коммуникативного акта.
Применительно к нашему исследованию концепция социальной детерминации речевой деятельности позволяет раскрыть закономерности функционирования профессиональных речевых произведений в условиях коллективной деятельности, а также описать профессионально-речевые средства, обусловливающие восприятие специалистом системы функциональных отношений с предметами труда, различных типов профессиональной деятельности и их субъектов.
7. Язык одной профессиональной группы отличается от языка представителей другой профессии. В связи с этим возникает необходимость выделить те значимые факторы, которые обуславливают профессиональную дифференциацию. Это возможно осуществить, обратившись к концепции социальной дифференциации языков В.М. Жирмунского [14].
В.М. Жирмунский, раскрывая отношения между национальным языком и социальными диалектами, выделяет признаки классовой дифференциации в языке. Прежде всего, это полнота формальной представленности языка в письменной, устной и публичной речи. Автор пишет: «...графическая фиксация звучащей речи оказывает прямое воздействие на развитие языка, а фиксация нормы национального языка происходит с установкой на его письменную форму» [14. С. 9]. Исходя из этого письменность выступает ведущим средством языкового единства и разделения. Вторым отличительным признаком, по мнению автора, является грамматическая нормализация, осуществляемая в интересах высших социальных классов. Следующий фактор языковой дифференциации — это характер межгосударственных военно-политических отношений. В условиях военного захвата или присоединения территорий другого государства одновременно сосуществуют два языка: победителей и побежденных.
Еще одним фактором языковой дифференциации выступает территориальное разделение деятельности по производственным сферам. В.М. Жирмунский показывает развитие дифференцированной профессиональной лексики на примерах разделения города и деревни, ремесленного производства и сельскохозяйственных промыслов в эпоху феодализма. Далее автор обращается к проблеме изменчивости языка. По мнению исследователя, воздействие вышеобозначенных факторов на язык обеспечивает пластичность его границ. За счет такой особенности языка происходит его изменение в историческом, культурном, социальном и психологическом аспектах.
Для нашей работы учение В.М. Жирмунского дает возможность охарактеризовать факторы, обусловливающие дифференциацию профессионального языка, а также выявить интеграционные детерминанты профильных языков различных профессий в малой социальной группе (организации).
8. При изучении языковой профессиональной личности наличие социальной и профессиональной дифференциации языка ставит исследователя перед необходимостью учета выбора и реализации субъектом общения того или иного субкода, оценки приемлемости определенной языковой формы, языковой системы к конкретной социальной ситуации. Для вскрытия закономерностей профессионального общения разнопрофильных специалистов целесообразно опираться на исследовательские разработки проблемы субкодового переключения, представлен-
ные в теории языковой ситуации А.Д. Швейцера [15]. Code switching, или переключение кода, изучалось на билингвах, которые попеременно использовали в пределах одного и того же речевого акта различные языковые системы. По мнению А.Д. Швейцера, такое переключение является не чем иным, как реакцией на изменение социальной ситуации. «При этом социально значимым является не выбор той или иной конкретной языковой единицы, а предпочтение одного языка другому языку под воздействием определенных социальных детерминантов речевого поведения» [15. С. 28]. Далее автор описывает механизмы передачи социальной информации языковыми средствами, обуславливающие процесс субкодового переключения. Особая роль при этом отводится выбору коммуникантом той языковой единицы из ряда денотативно и десигнативно равнозначных средств выражения, которая несет информацию о принадлежности субъекта речи к определенной социальной группе, его социальной роли и социальных установках.
Эвристические возможности концепции субкодовых переключений позволяют формировать мнение о них как об универсальных механизмах построения речевой цепи (дискурса). На эту мысль наталкивает попытка Н.И. Жинкина использовать механизм кодовых переключений для объяснения процессов кодирования и декодирования при составлении и принятии сообщения. Причем автор обращает внимание на то, что механизмы кодового переключения обслуживают различные процессы речи: «...можно различать две основные ступени кодирования в процессе речи: а) переход от решетки фонем к решетке морфем, что закрепляется в долговременной памяти и соответствует усвоению данного языка и б) переход от морфемной решетки с неполными словами к полным словам в составе сообщения, что осуществляется в кратковременной памяти и относится к операции составления сообщения. Второй переход (б), в свою очередь, содержит целую систему переходов кода, которые являются субъективными, так как замещающие сигналы не нормализованы и не нуждаются в нормализации» [16. С. 361].
Таким образом, концепция субкодовых переключений представляется наиболее адекватной для нашего исследования в части дефиниции языковой профессиональной личности, а также создания модели профессионального общения разнопрофильных специалистов в условиях совместной деятельности.
9. Проблема языковой профессиональной личности не может быть раскрытой полностью без анализа системы ее отношений в профессиональной действительности. Для решения данной задачи необходимо обратиться к концепции профессионального самоопределения личности Е.А. Климова [17]. Е.А. Климов связывает профессиональное самоопределение с «самоориентированием» субъекта в мире труда. Он выделяет два уровня профессионального самоопределения: 1) гностический (перестройка сознания и самосознания); 2) практический уровень (реальные изменения социального статуса человека). В процессе профессиональной ориентации человек выстраивает иерархию отношений с миром через осмысление предметов профессиональной действительности. Наряду с опредмечиванием в форме культурных предметов, свойства предметов обозначены в языке в виде специальных понятий.
В процессе восприятия профессиональных понятий у субъекта формируются субъективные представления о предметах и способах обращения с ними, которые, в свою очередь, складываются в целостный профессиональный образ мира. В дальнейшем образ мира выступает регулятором профессиональной деятельности субъекта.
По мнению Е.А. Климова, образ профессионального мира (его внутренняя и внешняя составляющие) одного человека отличается от другого в зависимости от типа профессии, «...выделяемого по признакам предметных систем, с которыми имеют дело люди как субъекты деятельности» [17. С. 171]. В нашей работе принципы теории Е.А. Климова позволяют раскрыть особенности формирования образа профессионального мира в процессе профессионального самоопределения языковой личности.
Таким образом, изучение языковой профессиональной личности осуществляется с использованием следующих теорий и концепций, которые в своей совокупности составляют теоретико-методологическую основу данного исследования: общепсихологическая теория деятельности А.Н. Леонтьева, теория языковой личности Ю.Н. Караулова, учение об интериоризации внешних процессов Л.С. Выготского, философская концепция сознания М.К. Мамардашвили, теория художественной речи В.В. Виноградова, концепция социальной детерминации речевой деятельности Л.М. Веккера, концепция социальной дифференциации языков В.М. Жирмунского, учение о субкодовых переключениях А.Д. Швейцера, теория профессионального самоопределения личности Е.А. Климова.
ЛИТЕРАТУРА
[1] Тарасов Е.Ф. Межкультурное общение — новая онтология анализа языкового сознания // Этнокультурная специфика языкового сознания / отв. ред. Н.В. Уфимцева. М.: ИЯ РАН, 1996. С. 7—22.
[2] Гердер И.Г. Идеи к философии истории человечества. М.: Наука, 1977.
[3] Панова М.Н. Языковая личность государственного служащего: опыт лингвометодического исследования: Монография. М.: Изд-во РУДН, 2004.
[4] Новиков А.М., НовиковД.А. Методология научного исследования. М.: Либроком, 2010.
[5] Караулов Ю.Н. Русский язык и языковая личность. 7-е изд. М.: Издательство ЛКИ, 2010.
[6] Янчук В.А. Интегративно-эклектический подход к анализу психологической феноменологии. Словарь-справочник. Минск, 2001.
[7] Robson C. Real world research: A resource for social scientists and practitioner-researchers. 8th ed. Oxford: Blackwell, 1998.
[8] Mitchell E. Multiple Triangulation: A methodology for nursing science // Advances in Nursing Science, 1986. Vol. 8. P. 18—26.
[9] Леонтьев А.Н. Деятельность. Сознание. Личность. 2-е изд. М.: Политиздат, 1977.
[10] Выготский Л.С. Собрание сочинений: в 6 тт. Т. 2. Проблемы общей психологии. М.: Педагогика, 1982.
[11] Зинченко В.П., Мамардашвили М.К. Проблема объективного метода в психологии // Вопросы психологии. М.: Наука, 1977. № 7. С. 109—125.
[12] Виноградов В.В. О теории художественной речи: Учебн. пособие. 2-е изд., испр. М.: Высшая школа, 2005.
[13] Веккер Л.М. Психика и реальность: единая теория психических процессов. М.: Изд-во «Смысл», 1998.
[14] Жирмунский В.М. Национальный язык и социальные диалекты. Л.: Гослитиздат, 1936.
[15] Швейцер А.Д. Социальная дифференциация английского языка в США. М.: Наука, 1983.
[16] Жинкин Н.И. Механизмы речи. М.: Издательство АПН РСФСР, 1958.
[17] Климов Е.А. Психология профессионального самоопределения: Учеб. пособие для студ. высш. учеб. заведений. М.: Издательский центр «Академия», 2004.
THEORETICAL AND METHODOLOGICAL ASPECTS OF LANGUAGE PROFESSIONAL IDENTITY THEORY
S.V. Myskin
GBOU VPO «Moscow Academy of Labor Market and Information Technologies» Molodogvardeyskaya str., 46, bl. 1, Moscow, Russia, 121352
The article presents the foundation of interdisciplinary studies of the phenomenon of "language professional identity". The author organizes a number of theories and concepts as ontological assumptions. The study is carried out using methodological triangulation.
Key words: language professional identity; interdisciplinary research; ontological premise; methodological triangulation; theory; concept.
REFERENCES
[1] Tarasov Ye.F. Mezhkulturnoye obscheniye — novaya ontologiya yazykovogo soznaniya // Etnokulturnaya spetsifika yazykovogo soznaniya / otv. red. N.V. Ufimtseva. M.: IYa RAN, 1996. S. 7—22.
[2] Herder I.G. Idei k filosofii istorii chelovechestva. M.: Nauka, 1977.
[3] Panova M.N. Yazykovaya lichnost gosudarstvennogo sluzhaschego: opyt lingvometodi-cheskogo issledovaniya. Monografiya. M.: izd-vo RUDN, 2004.
[4] Novikov A.M., Novikova D.A. Metodologiya nauchnogo issledovaniya. Методология научного исследования. M.: Librokom, 2010.
[5] Karaulov Yu.N. Russkiy yazyk i yazykovaya lichnost. 7-е izd. M.: izd-vo LKI, 2010.
[6] Yanchuk V.A. Integrativno-eklekticheskiy podkhod k analizu psikhologicheskoy fenomeno-logii. Slovar-spravochnik. Minsk, 2001.
[7] Robson C. Real world research: A resource for social scientists and practitioner-researchers. 8th ed. Oxford: Blackwell, 1998.
[8] Mitchell E. Multiple Triangulation: A methodology for nursing science // Advances in Nursing Science. 1986. Vol. 8. P. 18—26.
[9] Leontyev A.N. Deyatelnost. Soznaniye. Lichnost. 2-e izd. M.: Politizdat, 1977.
[10] Vygotskiy L.S. Sobraniye sochineniy: v 6 t. T. 2. Problemy obschey psikhologii. M.: Pedago-gika, 1982.
[11] Zinchenko V.P., Mamardashvili M.K. Problema obyektivnogo metoda v psikhologii // Voprosy psikhologii. M.: Nauka, 1977. № 7. S. 109—125.
[12] Vinogradov V.V. O teorii khudozhestvennoy rechi: Uchebnoye posobiye. 2-e izd., ispr. M.: Vysshaya shkola, 2005.
[13] Vekker L.M. Psikhika i realnost: yedinaya teoriya psikhicheskikh protsessov. V.: izd. Smysl, 1998.
[14] Zhirmunskiy V.M. Natsionalny yazyk i sotsialnye dialekty. L.: Goslitizdat, 1936.
[15] Shveytser A.D. Sotsialnaya differentsiatsiya angliyskogo yazyka v SSHA. M.: Nauka, 1983.
[16] Zninkin N.I. Mekhanizmy rechi. M.: izd. APN RSFSR, 1958.
[17] Klimov E.A. Psikhologiya professionalnogo samoopredeleniya: Uchebn. posobiye dlya stud. vyssh. uchebn. zavedeniy. M.: Izd. Tsentr "Academia", 2004.
Анализируя группу 13.00.02 в которой защищено подавляющее количество интересующих нас диссертаций можно выделить диссертации посвященные формированию языковой личности, это докторские диссертации И.Б. [[Игнатовой|Игнатова]] , Л.П. [[Халяпиной|Халяпина]] [7; 8] В этом же ключе выполнены кандидатские работы Н.А. [[Дерябиной|Дерябина]] [9] и Н.Е. [[Лысенко]] [10].
Первой по времени написания является диссертация И.Б. [[Игнатовой|Игнатова]] предметом исследования в данной диссертации является методика формирования базового грамматического строя русской речи иностранных студентов как основы становления вторичной языковой личности филолога. В диссертации показано что " .. понятие языковой личности не только является системообразующим фактором познания языка, но и открывает новые возможности перед методикой преподавания ..... языка ...." [[[7, c.32]|iib_dis_s32_3]]. Интересным фактом является вывод о том что текст является основной единицей " обучения .... студентов .... и развития языкового и лингвокогнитивного сознания будущих профессионалов... "/[[[7, c.32]|iib_dis_s12_1]]. любая языковая личность на каждом уровне своей организации имеет базовый инвариантный компонент, который поддается описанию и типологизации для целей обучения русскому языку как родному, так и неродному [[[7, c.33]|iib_dis_s33_1]].
В диссертации Л.П. [[Халяпиной|Халяпина]] предметом исследования является методика формирования структурных компонентов поликультурной языковой личности посредством различных видов Интернет-коммуникации [[[8, c. 6]|hlp_ar_s6]]. Введено понятие поликультурная языковая личность - это личность, в структуре которой средствами иностранного языка сформирован такой комплекс компетенций, который позволяет ей ориентироваться в концептосферах универсального, этнокультурного, социокультурного и индивидуально-культурного типов, что обеспечивает развитие её готовности и способности к активному позитивному взаимодействию с представителями поликультурного мира. [[[8, c. 22]|hlp_ar_s22]]
Предмет изучения диссертации Н.А. [[Дерябиной|Дерябина]] модель развития языковой личности студентов неязыковых специальностей в процессе изучения английского языка [[[9, c. 5]|derna_ar_s5_5]]. В диссертации уделялось внимание к понятийно-категориальному аппарату наук, изучаемых студентами [[[9, c. 11]|derna_ar_s11_3]] и проблеме формирования языкового иммунитета "пособность индивида противостоять речевой деструктивности среды, в том числе иноязычной, сохраняя свою идентичность на основе духовно-нравственной целостности".[[[9, c. 10]|derna_ar_s10_1_1]]
В диссертации Н.Е. [[Лысенко]] предметом исследования является методика развития языковой личности в неязыковом вузе, в основе которой лежит концепция формирования языковой личности Ю.Н. Караулова [[[10, c. 5]|lne_ar_s5_3]]. При этом решается проблема создании методики развития языковой личности при обучении русскому и иностранному (английскому) языкам[[[10, c. 5]|lne_ar_s5_1]]. На английский язык отводится больше времени.
Диссертации С.М. [[Андреева]] [11] и С.Б. [[Мордас]] [12] посвящены формированию компонентов вторичной языковой личности.
Предметом исследования в диссертации С.М. Андреевой является "... методика поэтапного формирования коммуникативной культуры - «вторичной» языковой личности ".[[[11. с. 3]|asm_ar_s3_2]] Коммуникативная культура рассматривается как интегральное качество «вторичной» языковой личности иностранных студентов-филологов.
Предмет исследования в диссертации С.Б. Мордас методика поэтапного формирования и развития грамматико-коммуникативной компетенции вторичной языковой личности франкоговорящих студентов при системно-функциональном подходе к изучению предложно-падежных конструкций с пространственным значением.[[[12 c. 3]|mcb_ar_s3_2]]. Таким образом в этих диссертациях используется парадигма языковой личности иностранных студентов для решения узкоспециализированных лингводидактических задач.
Следует отметить, что в этих диссертациях
В диссертации Н.В. [[Смыкуновой|Смыкунова]] [13] исследуются вопросы, относящиеся к компонентам описывающим свойства феноменов, характеризующие развитие языковой личности. Предмет исследования - прецедентные феномены как структурные компоненты ассоциативно- вербальной сети русской языковой личности и лингвокультурологические основы методики работы с прецедентными феноменами в процессе обучения русскому языку как иностранному. [[[13 c.5]|snv_ar_s5_2]]
Е.А. [[Дрянгина]] в свой диссертации [14] исследует вопросы использования в образовательном процессе ассоциативно-образных средств репрезентации языковой личности учителя. В качестве таких средств предлагается использовать метафоры и прецендентные тексты [[[14 c.6]|dea_ar_s6_2]]
Особый интерес представляет диссертация И.Р. [[Абдулмяновой|Абдулмянова]] [15] в которой рассматриваются проблема формирование тезауруса языковой личности. Речь идет о формирования специального двуязычного тезауруса студентов будущих переводчиков в предметной области «Экономика». Исходя из канонической языковой модели автор делает заключение "Если тезаурус личности характеризует языковую личность человека, то его языковая личность характеризуется профессиональным тезаурусом" [[[15 c.10]|air_ar_s10]]
Одна диссертация Г.И. [[Быкова]] [16] по специальности 13.00.06 теория и методика воспитания которая в настоящее время не входит в перечень специальностей ВАК, могут быть по своей направленности отнесены или быть близки к специальности 13.00.02.
В диссертации определены понятие языковой личности студентов-словесников, ее структура и содержание, а также выявлены педагогические возможности комплекса методико-технологических средств воспитания языковой личности студентов-словесников.
5 270
Поиск диссертация по специальности "Теория и методика обучения и воспитания", посвященных тематике "Языковая личность" за период с 1990 года по 2019 позволил выявить девять диссертаций. Первые диссертации были защищены в 1997. 1999 годах, остальные с 2003 по 2013 год.
В данной группе можно выделить диссертации посвященные формированию языковой личности, это докторские диссертации И.Б. [[Игнатовой|Игнатова]] , Л.П. [[Халяпиной|Халяпина]] [7; 8] В этом же ключе выполнены кандидатские работы Н.А. [[Дерябиной|Дерябина]] [9] и Н.Е. [[Лысенко]] [10].
Первой по времени написания является диссертация И.Б. [[Игнатовой|Игнатова]] [[[7]|Обучение грамматическому строю русской речи иностранных студентов-филологов как основа формирования языковой личности будущего учителя]] предметом исследования в данной диссертации является методика формирования базового грамматического строя русской речи иностранных студентов как основы становления вторичной языковой личности филолога. В диссертации показано что " .. понятие языковой личности не только является системообразующим фактором познания языка, но и открывает новые возможности перед методикой преподавания ..... языка ...." [[[7, c.32]|iib_dis_s32_3]]. Интересным фактом является вывод о том что текст является основной единицей " обучения .... студентов .... и развития языкового и лингвокогнитивного сознания будущих профессионалов... ".[[[7, c.12]|iib_dis_s12_1]]. любая языковая личность на каждом уровне своей организации имеет базовый инвариантный компонент, который поддается описанию и типологизации для целей обучения @@color:red; русскому языку как родному, так и неродному @@ [[[7, c.33]|iib_dis_s33_1]]. @@color:red; контингент иностранных студенты @@ Модель караулова
В диссертации Л.П. [[Халяпиной|Халяпина]] [[[8]|Методическая система формирования поликультурной языковой личности посредством интернет-коммуникации в процессе обучения иностранным языкам]] предметом исследования является методика формирования структурных компонентов поликультурной языковой личности посредством различных видов Интернет-коммуникации [[[8, c. 6]|hlp_ar_s6]]. Введено понятие@@color:red; поликультурная языковая личность @@ [[8, стр 11|hlp_ar_s11_2_1]] - это личность, в структуре которой средствами иностранного языка сформирован такой комплекс компетенций, который позволяет ей ориентироваться в концептосферах универсального, этнокультурного, социокультурного и индивидуально-культурного типов, что обеспечивает развитие её готовности и способности к активному позитивному взаимодействию с представителями поликультурного мира. [[[8, c. 22]|hlp_ar_s22]]. Обучение иностранным языкам @@color:red; студентов языковых специальностей. @@
Предмет изучения диссертации Н.А. [[Дерябиной|Дерябина]] [[[9]|Развитие языковой личности студентов в процессе изучения иностранного языка]]модель развития языковой личности студентов неязыковых специальностей в процессе изучения английского языка [[[9, c. 5]|derna_ar_s5_5]]. В диссертации уделялось внимание к понятийно-категориальному аппарату наук, изучаемых студентами [[[9, c. 11]|derna_ar_s11_3]] и проблеме формирования языкового иммунитета "пособность индивида противостоять речевой деструктивности среды, в том числе иноязычной, сохраняя свою идентичность на основе духовно-нравственной целостности".[[[9, c. 10]|derna_ar_s10_1_1]] @@color:red;студенты не лингвисты @@
В диссертации Н.Е. [[Лысенко]] [[[10]|Развитие языковой личности при обучении русскому и иностранному языкам в неязыковом вузе]] предметом исследования является методика развития языковой личности в неязыковом вузе, в основе которой лежит концепция формирования языковой личности Ю.Н. Караулова [[[10, c. 5]|lne_ar_s5_3]]. При этом решается проблема создании методики развития языковой личности при обучении русскому и иностранному (английскому) языкам[[[10, c. 5]|lne_ar_s5_1]]. На английский язык отводится больше времени.
@@color:red;студенты не лингвисты @@
Диссертации С.М. [[Андреева]] [[[11]|Формирование коммуникативной культуры "вторичной" языковой личности иностранных студентов-филологов в процессе обучения русскому языку (подготовительный факультет)]] и С.Б. [[Мордас]] [[[12]|Формирование грамматико-коммуникативной компетенции "вторичной" языковой личности франкоговорящих иностранных студентов при изучении предложно-падежных конструкций с пространственным значением]]
посвящены формированию компонентов вторичной языковой личности.
Предметом исследования в диссертации С.М. Андреевой является "... методика поэтапного формирования коммуникативной культуры - «вторичной» языковой личности ".[[[11. с. 3]|asm_ar_s3_2]] Коммуникативная культура рассматривается как интегральное качество «вторичной» языковой личности @@color:red; иностранных студентов-филологов.@@ [[[11. с. 5]|asm_ar_s5_1-4]] Ю.Н. Караулова
Предмет исследования в диссертации С.Б. Мордас методика поэтапного формирования и развития грамматико-коммуникативной компетенции вторичной языковой личности франкоговорящих студентов при системно-функциональном подходе к изучению предложно-падежных конструкций с пространственным значением.[[[12 c. 3]|mcb_ar_s3_2]]. Таким образом в этих диссертациях используется парадигма языковой личности иностранных студентов для решения узкоспециализированных лингводидактических задач.
Следует отметить, что в этих диссертациях @@color:red; студенты иностранцы @@ [[[12 c. 6]|snv_ar_s6_3]] РКИ
В диссертации Н.В. [[Смыкуновой|Смыкунова]] [[[13]|Прецедентные феномены в речевом общении русской языковой личности и процессе обучения русскому языку как иностранному]] исследуются вопросы, относящиеся к компонентам описывающим свойства феноменов, характеризующие развитие языковой личности. Предмет исследования - прецедентные феномены как структурные компоненты ассоциативно- вербальной сети русской языковой личности и лингвокультурологические основы методики работы с прецедентными феноменами в процессе обучения русскому языку как иностранному. [[[13 c.5]|snv_ar_s5_2]] @@color:red; студенты иностранцы @@ [[[13 c.6]|snv_ar_s6_3]] РКИ Караулов
Е.А. [[Дрянгина]] в свой диссертации [[[14]|Обучение студентов-филологов ассоциативно-образным средствам репрезентации языковой личности учителя]] исследует вопросы использования в образовательном процессе ассоциативно-образных средств репрезентации языковой личности учителя. В качестве таких средств предлагается использовать метафоры и прецендентные тексты [[[14 c.6]|dea_ar_s6_2]] @@color:red; студенты филологи @@
Особый интерес представляет диссертация И.Р. [[Абдулмяновой|Абдулмянова]] [[15|Формирование специального двуязычного тезауруса как составляющего компонента языковой личности переводчика в экономической сфере (французский язык)]]. Предмет исследования - методика формирования специального двуязычного тезауруса переводчика. [[[15, стр 4].|air_ar_s4_7]]Речь идет о формирования специального двуязычного тезауруса студентов будущих переводчиков в предметной области «Экономика». Исходя из канонической языковой модели автор делает заключение "Если тезаурус личности характеризует языковую личность человека, то его языковая личность характеризуется профессиональным тезаурусом" [[[15 c.10]|air_ar_s10]] @@color:red; Студенты лингвисты @@ *[[[15 c.3]|air_ar_s3_2]]*[[[15 c.16]|air_ar_s16_2]] иностранный язык.
ссылка на [ext[ссылка наА.А. Никитину|https://rusneb.ru/catalog/000200_000018_RU_NLR_bibl_1081644/viewer/]]
Одна диссертация Г.И. [[Быкова]] [[[16]|Воспитание языковой личности в процессе преподавания лингвистических и речеведческих дисциплин]] по специальности 13.00.06 теория и методика воспитания которая в настоящее время не входит в перечень специальностей ВАК, могут быть по своей направленности отнесены или быть близки к специальности 13.00.02. Предмет исследования - воспитание языковой личности студентов-словесников методико-технологическими средствами в процессе преподавания лингвистических и речеведческих дисциплин.
В диссертации определены понятие языковой личности студентов-словесников, ее структура и содержание, а также выявлены педагогические возможности комплекса методико-технологических средств воспитания языковой личности @@color:red; студентов-словесников@@ .
выводы
Как было отмечено выше четыре диссертации посвящены формированию языковой личности,в остальных рассматриваются вопросы развития отдельных компонентов языковой личности (компетенций, тезауруса, прецендентных феноменов (текстов) и т.д.) Из девяти диссертаций только в двух в качестве обучаемых рассматриваются студенты не лингвисты.
5 270
Анализируя группу 13.00.02 в которой защищено подавляющее количество интересующих нас диссертаций можно выделить диссертации посвященные формированию языковой личности, это докторские диссертации И.Б. [[Игнатовой|Игнатова]] , Л.П. [[Халяпиной|Халяпина]] [7; 8] В этом же ключе выполнены кандидатские работы Н.А. [[Дерябиной|Дерябина]] [9] и Н.Е. [[Лысенко]] [10].
Первой по времени написания является диссертация И.Б. [[Игнатовой|Игнатова]] предметом исследования в данной диссертации является методика формирования базового грамматического строя русской речи иностранных студентов как основы становления вторичной языковой личности филолога. В диссертации показано что " .. понятие языковой личности не только является системообразующим фактором познания языка, но и открывает новые возможности перед методикой преподавания ..... языка ...." [[[7, c.32]|iib_dis_s32_3]]. Интересным фактом является вывод о том что текст является основной единицей " обучения .... студентов .... и развития языкового и лингвокогнитивного сознания будущих профессионалов... "/[[[7, c.32]|iib_dis_s12_1]]. любая языковая личность на каждом уровне своей организации имеет базовый инвариантный компонент, который поддается описанию и типологизации для целей обучения русскому языку как родному, так и неродному [[[7, c.33]|iib_dis_s33_1]].
В диссертации Л.П. [[Халяпиной|Халяпина]] предметом исследования является методика формирования структурных компонентов поликультурной языковой личности посредством различных видов Интернет-коммуникации [[[8, c. 6]|hlp_ar_s6]]. Введено понятие поликультурная языковая личность - это личность, в структуре которой средствами иностранного языка сформирован такой комплекс компетенций, который позволяет ей ориентироваться в концептосферах универсального, этнокультурного, социокультурного и индивидуально-культурного типов, что обеспечивает развитие её готовности и способности к активному позитивному взаимодействию с представителями поликультурного мира. [[[8, c. 22]|hlp_ar_s22]]
Предмет изучения диссертации Н.А. [[Дерябиной|Дерябина]] модель развития языковой личности студентов неязыковых специальностей в процессе изучения английского языка [[[9, c. 5]|derna_ar_s5_5]]. В диссертации уделялось внимание к понятийно-категориальному аппарату наук, изучаемых студентами [[[9, c. 11]|derna_ar_s11_3]] и проблеме формирования языкового иммунитета "пособность индивида противостоять речевой деструктивности среды, в том числе иноязычной, сохраняя свою идентичность на основе духовно-нравственной целостности".[[[9, c. 10]|derna_ar_s10_1_1]] @@color:red;студенты не лингвисты @@
В диссертации Н.Е. [[Лысенко]] предметом исследования является методика развития языковой личности в неязыковом вузе, в основе которой лежит концепция формирования языковой личности Ю.Н. Караулова [[[10, c. 5]|lne_ar_s5_3]]. При этом решается проблема создании методики развития языковой личности при обучении русскому и иностранному (английскому) языкам[[[10, c. 5]|lne_ar_s5_1]]. На английский язык отводится больше времени.
@@color:red;студенты не лингвисты @@
Диссертации С.М. [[Андреева]] [11] и С.Б. [[Мордас]] [12] посвящены формированию компонентов вторичной языковой личности.
Предметом исследования в диссертации С.М. Андреевой является "... методика поэтапного формирования коммуникативной культуры - «вторичной» языковой личности ".[[[11. с. 3]|asm_ar_s3_2]] Коммуникативная культура рассматривается как интегральное качество «вторичной» языковой личности @@color:red; иностранных студентов-филологов.@@ [[asm_ar_s5_1-4]] Ю.Н. Караулова
Предмет исследования в диссертации С.Б. Мордас методика поэтапного формирования и развития грамматико-коммуникативной компетенции вторичной языковой личности франкоговорящих студентов при системно-функциональном подходе к изучению предложно-падежных конструкций с пространственным значением.[[[12 c. 3]|mcb_ar_s3_2]]. Таким образом в этих диссертациях используется парадигма языковой личности иностранных студентов для решения узкоспециализированных лингводидактических задач.
Следует отметить, что в этих диссертациях @@color:red; студенты иностранцы @@ [[snv_ar_s6_3]] РКИ
В диссертации Н.В. [[Смыкуновой|Смыкунова]] [13] исследуются вопросы, относящиеся к компонентам описывающим свойства феноменов, характеризующие развитие языковой личности. Предмет исследования - прецедентные феномены как структурные компоненты ассоциативно- вербальной сети русской языковой личности и лингвокультурологические основы методики работы с прецедентными феноменами в процессе обучения русскому языку как иностранному. [[[13 c.5]|snv_ar_s5_2]] @@color:red; студенты иностранцы @@ [[snv_ar_s6_3]] РКИ
Е.А. [[Дрянгина]] в свой диссертации [14] исследует вопросы использования в образовательном процессе ассоциативно-образных средств репрезентации языковой личности учителя. В качестве таких средств предлагается использовать метафоры и прецендентные тексты [[[14 c.6]|dea_ar_s6_2]] @@color:red; студенты филологи @@
Особый интерес представляет диссертация И.Р. [[Абдулмяновой|Абдулмянова]] [15] в которой рассматриваются проблема формирование тезауруса языковой личности. Речь идет о формирования специального двуязычного тезауруса студентов будущих переводчиков в предметной области «Экономика». Исходя из канонической языковой модели автор делает заключение "Если тезаурус личности характеризует языковую личность человека, то его языковая личность характеризуется профессиональным тезаурусом" [[[15 c.10]|air_ar_s10]] @@color:red; Студенты лингвисты @@ *[[air_ar_s3_2]]*[[air_ar_s16_2]] иностранный язык.
Одна диссертация Г.И. [[Быкова]] [16] по специальности 13.00.06 теория и методика воспитания которая в настоящее время не входит в перечень специальностей ВАК, могут быть по своей направленности отнесены или быть близки к специальности 13.00.02.
В диссертации определены понятие языковой личности студентов-словесников, ее структура и содержание, а также выявлены педагогические возможности комплекса методико-технологических средств воспитания языковой личности студентов-словесников.
выводы
Ряд диссертаций
5 270
Поиск диссертация по специальности "Теория и методика обучения и воспитания", посвященных тематике "Языковая личность" за период с 1990 года по 2019 позволил выявить девять диссертаций. Первые диссертации были защищены в 1997. 1999 годах, остальные с 2003 по 2013 год.
В данной группе можно выделить диссертации посвященные формированию языковой личности, это докторские диссертации И.Б. [[Игнатовой|Игнатова]] , Л.П. [[Халяпиной|Халяпина]] [8; 9] В этом же ключе выполнены кандидатские работы Н.А. [[Дерябиной|Дерябина]] [10] и Н.Е. [[Лысенко]] [11].
Первой по времени написания является диссертация И.Б. [[Игнатовой|Игнатова]] [[[8]|iib_dis 1]] Цель исследования - создание и обоснование методической системы обучения грамматическому строю русского языка иностранных студентов на основе системно-функционального подхода к изучению языковых единиц и с учетом преемственно-перспективных связей между разными этапами обучения в рамках подготовительного факультета. Предметом исследования в данной диссертации является методика формирования базового грамматического строя русской речи иностранных студентов как основы становления вторичной языковой личности филолога. В диссертации показано что " .. понятие языковой личности не только является системообразующим фактором познания языка, но и открывает новые возможности перед методикой преподавания ..... языка ...." [[[8, c.32]|iib_dis_s32_3]]. Интересным фактом является вывод о том что текст является основной единицей " обучения .... студентов .... и развития языкового и лингвокогнитивного сознания будущих профессионалов... ".[[[8, c.12]|iib_dis_s12_1]]. любая языковая личность на каждом уровне своей организации имеет базовый инвариантный компонент, который поддается описанию и типологизации для целей обучения @@color:red; русскому языку как родному, так и неродному @@ [[[8, c.33]|iib_dis_s33_1]]. @@color:red; контингент иностранных студенты @@ Модель караулова
В диссертации Л.П. [[Халяпиной|Халяпина]] [[[9]|hlp_ar 1]] целью исследования является разработка теоретических основ методической системы формирования поликультурной языковой личности посредством Интернет-коммуникации и практическая реализация этой системы в языковом вузе а предметом исследования является методика формирования структурных компонентов поликультурной языковой личности посредством различных видов Интернет-коммуникации [[[9, c. 6]|hlp_ar_s6]]. Введено понятие@@color:red; поликультурная языковая личность @@ [[9, стр 11|hlp_ar_s11_2_1]] - это личность, в структуре которой средствами иностранного языка сформирован такой комплекс компетенций, который позволяет ей ориентироваться в концептосферах универсального, этнокультурного, социокультурного и индивидуально-культурного типов, что обеспечивает развитие её готовности и способности к активному позитивному взаимодействию с представителями поликультурного мира. [[[9, c. 22]|hlp_ar_s22]]. Обучение иностранным языкам @@color:red; студентов языковых специальностей. @@ Караулов
Цель исследования диссертации Н.А. [[Дерябиной|Дерябина]] [[[10]|derna_ar 1]] теоретико-методологическое обоснование, разработка и апробация модели развития языковой личности студентов (неязыковых специальностей) при изучении английского языка в вузе Предмет изучения модель развития языковой личности студентов неязыковых специальностей в процессе изучения английского языка [[[10, c. 5]|derna_ar_s5_5]]. В диссертации уделялось внимание к понятийно-категориальному аппарату наук, изучаемых студентами [[[10, c. 11]|derna_ar_s11_3]] и проблеме формирования языкового иммунитета "пособность индивида противостоять речевой деструктивности среды, в том числе иноязычной, сохраняя свою идентичность на основе духовно-нравственной целостности".[[[10, c. 10]|derna_ar_s10_1_1]] @@color:red;студенты не лингвисты @@ Караулов
В диссертации Н.Е. [[Лысенко]] [[[11]|lne_ar 1]] цель исследования заключается в создании методики развития языковой личности при обучении русскому и иностранному (английскому) языкам в неязыковом вузе и разработке проблемы функционирования и взаимодействия вербально-семантического, лингво-когнитивного, мотивационного уровней, культурологического компонента языковой личности. Предметом исследования является методика развития языковой личности в неязыковом вузе, в основе которой лежит концепция формирования языковой личности Ю.Н. Караулова [[[11, c. 5]|lne_ar_s5_3]]. При этом решается проблема создании методики развития языковой личности при обучении русскому и иностранному (английскому) языкам[[[11, c. 5]|lne_ar_s5_1]]. На английский язык отводится больше времени.
@@color:red;студенты не лингвисты @@ Караулов
Диссертации С.М. [[Андреева]] [[[12]|asm_ar 1]] и С.Б. [[Мордас]] [[[13]|mcb_ar 1]]
посвящены формированию компонентов вторичной языковой личности.
Цель исследования в диссертации С.М. Андреевой является создание и обоснование методической системы формирования коммуникативной культуры иностранных студентов-филологов на основе использования учебного диалога в процессе личностно ориентированного обучения русскому языку на подготовительном факультете. Предмет исследования "... методика поэтапного формирования коммуникативной культуры - «вторичной» языковой личности ".[[[12. с. 3]|asm_ar_s3_2]] Коммуникативная культура рассматривается как интегральное качество «вторичной» языковой личности @@color:red; иностранных студентов-филологов.@@ [[[12. с. 5]|asm_ar_s5_1-4]] Ю.Н. Караулова
Цель исследования в диссертации С.Б. Мордас создание и теоретической обоснование лингвометодической модели формирования грамматико-коммуникативной компетенции «вторичной» языковой личности франкоговорящих студентов в процессе изучения предложно-падежных конструкций с пространственным значением Предмет исследования методика поэтапного формирования и развития грамматико-коммуникативной компетенции вторичной языковой личности франкоговорящих студентов при системно-функциональном подходе к изучению предложно-падежных конструкций с пространственным значением.[[[13 c. 3]|mcb_ar_s3_2]]. Таким образом в этих диссертациях используется парадигма языковой личности иностранных студентов для решения узкоспециализированных лингводидактических задач.
Следует отметить, что в этих диссертациях @@color:red; студенты иностранцы @@ [[[13 c. 6]|snv_ar_s6_3]] РКИ Караулов
Цель диссертационного исследования Н.В. [[Смыкуновой|Смыкунова]] [[[14]|snv_ar 1]] определение роли и места прецедентных феноменов в структуре русской языковой личности, выявление того набора прецедентных феноменов, который может быть необходим для реального дискурса этой личности, а также разработка системы включения этих единиц в процесс преподавания русского языка как иностранного В диссертации исследуются вопросы, относящиеся к компонентам описывающим свойства феноменов, характеризующие развитие языковой личности. Предмет исследования - прецедентные феномены как структурные компоненты ассоциативно- вербальной сети русской языковой личности и лингвокультурологические основы методики работы с прецедентными феноменами в процессе обучения русскому языку как иностранному. [[[14 c.5]|snv_ar_s5_2]] @@color:red; студенты иностранцы @@ [[[14 c.6]|snv_ar_s6_3]] РКИ Караулов
Цель диссертационного исследования Е.А. [[Дрянгиной|Дрянгина]] [[[15]|dea_ar 1]] разработка и экспериментальная проверка методики обучения студентов-филологов использованию метафоры и прецедентного текста как ассоциативно-образных средств репрезентации языковой личности педагога. в свой диссертации исследует вопросы использования в образовательном процессе ассоциативно-образных средств репрезентации языковой личности учителя. В качестве таких средств предлагается использовать метафоры и прецендентные тексты [[[15 c.6]|dea_ar_s6_2]] @@color:red; студенты филологи @@ Караулов
Особый интерес представляет диссертация И.Р. [[Абдулмяновой|Абдулмянова]] [[[16]|air_ar 1]]. Цель исследования состоит в теоретическом обосновании, разработке и экспериментальной проверке методики формирования специального двуязычного тезауруса студентов будущих переводчиков в предметной области «Экономика». Предмет исследования - методика формирования специального двуязычного тезауруса переводчика. [[[16, стр 4].|air_ar_s4_7]]Речь идет о формирования специального двуязычного тезауруса студентов будущих переводчиков в предметной области «Экономика». Исходя из канонической языковой модели автор делает заключение "Если тезаурус личности характеризует языковую личность человека, то его языковая личность характеризуется профессиональным тезаурусом" [[[16 c.10]|air_ar_s10]] @@color:red; Студенты лингвисты @@ *[[[16 c.3]|air_ar_s3_2]]*[[[16 c.16]|air_ar_s16_2]] иностранный язык. Караулов
ссылка на [ext[ссылка наА.А. Никитину|https://rusneb.ru/catalog/000200_000018_RU_NLR_bibl_1081644/viewer/]]
Одна диссертация Г.И. [[Быкова]] [[[17]|bgi_ar 1]] по специальности 13.00.06 теория и методика воспитания которая в настоящее время не входит в перечень специальностей ВАК, могут быть по своей направленности отнесены или быть близки к специальности 13.00.02. Цель исследования - выявить, теоретически обосновать педагогические возможности комплекса мстодико-технологичсских средств в процессе воспитания языковой личности студентов-словесников. Предмет исследования - воспитание языковой личности студентов-словесников методико-технологическими средствами в процессе преподавания лингвистических и речеведческих дисциплин.
В диссертации определены понятие языковой личности студентов-словесников, ее структура и содержание, а также выявлены педагогические возможности комплекса методико-технологических средств воспитания языковой личности @@color:red; студентов-словесников@@ . Караулов
выводы
Как было отмечено выше четыре диссертации посвящены формированию языковой личности,в остальных рассматриваются вопросы развития отдельных компонентов языковой личности (компетенций, тезауруса, прецендентных феноменов (текстов) и т.д.) Из девяти диссертаций только в двух в качестве обучаемых рассматриваются студенты не лингвисты.
Во всех диссертациях в основе структуры языковой личности лежит модель Ю.Н. Караулова
5 270
Поиск диссертационных работ по специальности 13.00.08 "Теория и методика профессионального образования" показал что за искомый период было защищено четыре диссертации защита которых проходила в 2002 - 2012 годах.
Группа представляет особый интерес так как тут представлены диссертации в области профессионального образования.
Общим для рассматриваемых диссертаций является контингент обучаемых это либо студенты вузов либо обучаемые в системе дополнительного профессионального образования.
Диссертация А.В. [[Юрьевой|Юрьева]] [[[18]|yuav_ar 1]] продолжает традицию сочинской лингвориторической школы А.А. Ворожбитовой рассматривая вопросы становления профессиональной личности учителя с позиций парадигмы лингвориторического идеала. [[[18, с.4]|yuav_ar_s4_3]]. Цель исследования - теоретически обосновать, спроектировать и экспериментально апробировать процесс становления профессиональной языковой личности будущего учителя с опорой на категориюлингвориторического идеала .
@@color:green;Отмечая что в области воспитательных функций педвуза в 90 годы были допущены ошибочные решения которые привели к дефициту социально значимых и личностно привлекательных идеалов что сказалось на мотивациии студентов к учению, самосовершенствованию, человеческому и профессиональному росту. Это пагубно отразилось на качестве знаний, умении и навыков по изучаемым дисциплинам и в конечном счете на формировании личностных и профессиональная качеств будущего педагога.@@ [[[18, с. 3]|yuav_ar_s3_1]]
Учитывая что "речь учителя выступает наиболее важным компонентом его педагогического мастерства, т.к. основным «орудием труда» любого преподавателя является слово,"[[[18, с. 12]|yuav_ar_s12_1]] которое находит отражение в концепте «языковая личность», А.В. Юрьева исследует содержание понятий «языковая личность», «профессиональная языковая личность» и предлагает модель профессиональной языковой личности учителя с учетом категории лингвориторического идеала[[[18, с. 12]|yuav_ar_s12_2]].
В итоге диссертантом предложена блочная модель процесса становления профессиональной языковой личности учителя в ходе вузовской подготовки в которой одним из основных элементов является категория лингвориторического идеала. [[[18, с. 13]|yuav_ar_s13_3]]
Следует отметить что рассматривается профессиональная языковая личность студента вуза готовящего учителя то есть специалиста гуманитарного профиля.
Диссертация другого представителя сочинской лингвориторической школы Н.А. [[Дацун]] [[[19|dna_ar 1]]] посвещена билингвальной подготовке юристов как профессиональной языковой личности. Цель исследования — разработать и апробировать целостный педагогический процесс билингвальной подготовки будущего юриста на лингвориторической концептуальной основе в ходе изучения английского языка. Автор естественно придерживается концепции лингвориторического идеала, а именной билингвальной лингвориторической-компетенции. на материале английского языка.
В диссертации разработана "идеальная модель выпускника «юрист как профессиональная языковая личность», выступающая педагогической конкретизацией социального заказа на профессиональную подготовку юриста в условиях глобализации мирового социокультурного и экономического пространства" [[[19, с.16 |dna_ar_s16_2]]]. Разработанная модель состоит из 4 компонентов 1) билингвальной лингвориторической компетенции как теоретико-операциональная основы сопряженного функционирования вербально-семантической и лингвокогнитивной подструктур языковой личности, 2) общей социомежкультурная эрудиции и 3) профессиональной юридической компетенции 4) демократической стратегии социомежкультурной коммуникации
В диссертации С.Ю. [[Годуновой|Годунова]] [[[20]|gsyu_ar 1]] исследуются педагогические условия развития языковой личности студента технического вуза.
Автор проводит анализ теоретико-методологического статуса проблемы языковой личности в философской, культурологической, психологической и лингвистической науках.
Языковая личность представляет собой совокупность социально-психологических и педагогических свойств человека, определяющих ее способность к творческой текстовой деятельности и отображению специфической национально-языковой картины мира, конструктивное взаимодействие с окружающей средой, открытость для восприятия и адаптации в иной ментально-языковой среде с целью приобщения к иноязычной культуре и определения своего места в спектре различных культур
Следует отметить что в данной диссертации красной нитью проходит идея необходимости соизучения родного и иностранного языков, родной и иноязычной культур [[[20 c. 11]|gsyu_ar_s11_2]] в процессе изучения иностранного языка
Рассматривая другие диссертации специальности 13.00,08 следует выделить докторскую диссертацию С.Д. [[Пивкин]]а [[[21]|psd_ar 1]]. Это единственная докторская диссертация по языковой личности в теории и методике профессионального образования. Цель исследования: научное обоснование и экспериментальная апробация теоретико-методологических и дидактических основ самореализации языковой личности переводчика в системе дополнительного профессионального образования.
В данной диссертации решалась проблема "... выявлении и обосновании теоретико-методологических и дидактических основ самореализации языковой личности переводчика в системе дополнительного профессионального образования" [[[21 c. 4]|psd_ar_s4_3]] что и определило предмет исследования, причем под переводчиком подразумевался не профессиональный лингвист или филолог, а выпускника технического или экономического вуза.
Концепция языковой личности тем и продуктивна, что она связывает в некое онтологическое единство все грани языковой личности, включая ее аутентичность в овладении родным языком, профессиональным подъязыком и черты, приобретенные в процессе изучения иностранного языка [[[21 c. 3]|psd_ar_s3_4]]
Выводы Первые три диссертации рассматривают вопросы развития языковой личности студентов, в диссертации С.Д. Пивкина исследуемый контингент - профессионалы @@color:green; повышающие свой уровень@@ в системе дополнительного профессионального образования
Следует отметить, что только одна диссертация А.В. Юрьевой ориентирована на профессионалов филологов, три остальные рассматривают вопросы формирования языковой личности юристов (Н.А. Дацун )и специалистов технических специальностей (С.Ю. Годунова, С.Д. Пивкин).
| [[А]] | [[Б]] | [[В]] | [[Г]] | [[Д]] | [[Е]] | [[Ж]] | [[З]] | [[И]] | [[К]] |
| [[Л]] | [[М]] | [[Н]] | [[О]] | [[П]] | [[Р]] | [[С]] | [[Т]] | [[У]] | [[Ф]] |
| [[Х]] | [[Ц]] | [[Ч]] | [[Ш]] | [[Э]] | [[Ю]] | [[Я]] | [[]] | [[]] | [[]] |
[ext[ссылка t209|file:///C:/Users/%D1%81%D0%B0%D0%BD%D1%8B%D1%87/Sites/nsa1/20180302/t209.html]]
|>| ![[Труды]] |! [ext[Ya без рн|https://ya.ru]]| ! [[Актуально|СтатьяПедагогикаРУДН2020_07_08]] |>|![[Термины]]|
|! *[[Персоналии]] | ! * [[Сайты]] |! * [[Анализ]] |!* [[Статьи]] |!* [[Журналы]] |!*[[Языки]] |
[[Ретроспективный анализ как метод прогностических исследований в педагогике]]
[ext[Dis.html|file:///C:/Users/%D1%81%D0%B0%D0%BD%D1%8B%D1%87/Sites/nsa3/20180302/Disf.html]]
[ext[ссылка|file:///C:/Users/%D1%81%D0%B0%D0%BD%D1%8B%D1%87/Sites/nsa1/20180302/Dis.html]]
* [[Замыслы]]
* [[Запуск программ]]
* [[Темы]]
* [[Кластерный анализ]]
* [[Титул 2]]
* [[Облако]]
* [[Правила оформления]]
* [[Словари и тезаурусы]]
* [[Философия]]
* [[Книги]]
* [[Сетьевые ресурсы]]
* [[Информация]]
* [[Дополнительный материал]]
* [[Попутное]]
* [[Кречетников К.Г.]]
* [[Каширский С.Н. Проблемно-модульное проектирование содержания лингво-профессиональной подготовки инженеров радиотехнического профиля]]
* [[Лотман Ю.М.]]
* [[Гипотезы Крашена об усвоении языка]]
* [[Язык и информация]]
* [[Русификация TW]]
* [[Андрагогика]]
* [[Почта]]
---
* [[Папка Dis]]
---
[ext[ссылка хищнические журналы|https://блог.научныепереводы.рф/xishhnicheskie-zhurnaly/]]**[ext[ссылка|https://science-insight.com/analitika/predatory-journals]]
---
*[[Если успеем]]
GettingStarted
* [[Языковая личность (Караулов)]]
* [[Языковая личность (Иванцова)]]
* [[Языковая личность Жумагулова]]
* [[Языковая личность Богин]]
* [[Языковая личность Башкова]]
* [[Языковая личность + Напреенко]]
* [[Языковая личность профессионала]]
* [[Языковая личность Виноградов]]
* [[Кластерный анализ]]
* [[Статья]]
* [[Мыскин]]
* [[Яроцкая]]
* [[Иванова]] Юлия Николаевна Статья
[ext[ссылка|http://pglu.ru/upload/iblock/427/Dissertatsiya-Tlenkopachevoy-M_N.-otform-4-noyabrya-2019.pdf]]
2.1. Виртуальная языковая личность в современном виртуальном педагогическом дискурсе .................................................... 56 2.2. Адресант АОВкак виртуальная языковая личность ................................ 66
*[[Статья в Вестник ПНИПУ. Проблемы языкознания и педагогики]]
*[[Персональные образовательные среды]]
*[[Новая статья]]
[[Термины]]
| [[Уд]] | [[Уз]] | [[Ум]] | [[Ун]] | [[Уп]] | [[Ур]] | [[Ус]] | [[Ут]] | [[Уч]] |
{{Уд}}
{{Уз}}
{{Ум}}
[[Термины]] [[У]]
УЗУС англ. usage. Принятое употребление слова, фразеологемы, оборота и т. п. (в отличие от его окказионального употребления).
[[Ахманова О. С. Словарь лингвистических терминов]]
УЗУС (от лат. usus – обычай, правило, применение). Принятое носителями данного языка употребление слов, устойчивых оборотов, конструкций и т. д. См.
также норма.
[[Азимов Э. Г., Щукин А. Н. Новый словарь методических терминов и понятий]]
УЗУС — а, муж. (книжн.). Установившаяся практика, обыкновение. Языковой у. (употребление слов, форм, закрепившееся в речи). | прил. узуальный, ая, ое.
[[Ожегов .С.И. Словарь русского языка]]
Толковый словарь Ожегова. С.И. Ожегов, Н.Ю. Шведова. 1949 1992 … Толковый словарь Ожегова
[ext[ссылка|https://old.kursobr.ru/ojs/ojs/index.php/Journal/index]]
[ext[ссылка на статью|https://old.kursobr.ru/ojs/ojs/index.php/Journal/article/view/418]]
[ext[ссылка|https://www.kstu.ru/1leveltest.jsp?idparent=5134]]
Дорожкина Т.Н. Учебно-творческий дискурс в сфере письменной коммуникации (формирование языковой личности человека пишущего)
[ext[ссылка автореферат|https://new-disser.ru/_avtoreferats/01003318587.pdf]]
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=834656]]
[[Содержание|СодержаниеДорожкинаТН]]
*{{dtn_ar_s3_s15}}*[[dtn_ar_s3_s15]]
*{{dtn_ar_s15_s26}}*[[dtn_ar_s15_s26]]
*{{dtn_ar_s28_3}}*[[dtn_ar_s28_3]]
*{{dtn_ar_s28_4}}*[[dtn_ar_s28_4]]
*{{dtn_ar_s28_6}}*[[dtn_ar_s28_6]]
*{{dtn_ar_s29_1}}*[[dtn_ar_s29_1]]
*{{dtn_ar_s29_3}}*[[dtn_ar_s29_3]]
*{{dtn_ar_s30_1}}*[[dtn_ar_s30_1]]
*{{dtn_ar_s30_3}}*[[dtn_ar_s30_3]]
[ext[ссылка|http://uchzap.com/ru/pages/182]]
[ext[ссылка|http://sn-spp.cfuv.ru/]]
[ext[ссылка|http://oreluniver.ru/science/journal/notes]]
[ext[ссылка|https://rgsu.net/about/science/publishing/magazine/scientific-notes/]]
Плата с аспирантов и докторантов за публикацию статей не взимается
[ext[ссылка|http://lesgaft-notes.spb.ru/]]
[ext[ссылка для авторов|http://lesgaft-notes.spb.ru/ru/node/552]]
Стоимость подготовки статьи к опубликованию: С 01.04.2019 - 800 руб/страница авторского текста (формат А4, 14 кегль 1,5 интервала) до 3-х авторов, при большем количестве авторов - 900 руб/страница или не более 3-х экземпляров. Объем статьи от 5 до 10-14 стр, включая все. По согласованию с редакцией объем статьи может быть увеличен. Оплата производится по безналичному расчету только после принятия статьи к опубликованию (положительная рецензия). Рецензентов назначает редакционная коллегия.
!! Интересно
Проверить статью на наличие плагиата можно здесь: https://www.etxt.ru/antiplagiat/ или на любом другом сайте проверки статьи на плагиат. @@color:red; Мы не говорим о проценте оригинальности. Все зависит от содержания статьи @@
[ext[ссылка|http://scientific-notes.ru/#index]]
Стоимость подготовки статьи к публикации 600 руб./страница A4
[[Термины]]
| [[Фа]] | [[Фе]] | [[Фи]] | [[Фл]] | [[Фо]] | [[Фр]] | [[Фу]] |
Сокращения
[[ФE]]
22.02.2019 Филиппова Варвара Михайловна Лингводидактический потенциал метода проектов и его реализация в преподавании РКИ 13.00.02
среда
[ext[ссылка dis|http://dissovet.rudn.ru/web-local/prep/rj/dis/download.php?file=506ca09e5ed323ba104884a75ee06a088394]]
[ext[ссылка ар|https://vak.minobrnauki.gov.ru/az/server/php/filer_new.php?table=att_case&fld=autoref&key[]=100036631&version=100]]
''Положения, выносимые на защиту: ''
1. Метод проектов обеспечивает формирование спектра компетенций (коммуникативной, общекультурных, общепрофессиональных, профессиональных), способствующих развитию языковой личности обучаемого.
{{fvm_dis_s13_5}}
# ПРАГМАЛИНГВИСТИЧЕСКИЕ ХАРАКТЕРИСТИКИ АВТОРИТАРНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Пушкин А.А. диссертация на соискание учёной степени кандидата филологических наук / Чувашский государственный университет им. И.Н. Ульянова. Чебоксары, 1991
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ТЕЛЕВИЗИОННОГО ВЕДУЩЕГО Беспамятнова Г.Н. автореферат дис. ... кандидата филологических наук / Гос. ун-т. Воронеж, 1994
# ФОРМАНТЫ ЯЗЫКОВОЙ ЛИЧНОСТИ ПИСАТЕЛЯ-НОВАТОРА (НА МАТЕРИАЛЕ ТВОРЧЕСТВА КАМИЛО ХОСЕ СЕЛЫ) Попов О.В. автореферат дис. ... кандидата филологических наук / Воронеж. гос. ун-т. Воронеж, 1994
# НЕНОРМАТИВНАЯ ЛЕКСИКА В РЕЧИ СОВРЕМЕННОГО ГОРОДСКОГО ПОДРОСТКА (В СВЕТЕ КОНЦЕПЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ) Гуц Е.Н. диссертация на соискание ученой степени кандидата филологических наук / Омск, 1995
# ЯЗЫКОВАЯ ЛИЧНОСТЬ МИКОЛЫ ХВЫЛЕВОГО В АСПЕКТЕ СТИЛИСТИКИ И ИСТОРИИ ЛИТЕРАТУРНОГО ЯЗЫКА Лужик Н.С. автореферат дис. ... кандидата филологических наук / Киев, 1996
# КУЛЬТУРА УКРАИНСКОГО ЯЗЫКА И ЯЗЫКОВАЯ ЛИЧНОСТЬ УЧИТЕЛЯ Струганец Л.В. автореферат дис. ... кандидата филологических наук / Киев, 1996
# ЛЕКСИЧЕСКАЯ СТРУКТУРА ТЕКСТА И ПРОБЛЕМА ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ РОМАНА Ф.М. ДОСТОЕВСКОГО "ИДИОТ") Деревскова Е.Н. Диссертация на соискание ученой степени кандидата филологических наук / Российский государственный педагогический университет им. А. И. Герцена. Санкт-Петербург, 1998
# ВИКТОР ШКЛОВСКИЙ ТЕКСТ-МИФ-РЕАЛЬНОСТЬ (К ПРОБЛЕМЕ ЛИТЕРАТУРНОЙ И ЯЗЫКОВОЙ ЛИЧНОСТИ) Панченко О.Н. автореферат дис. ... доктора филологических наук / Рос. ун-т дружбы народов. Москва, 1998
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ПЕРСОНАЖА В ПРОЗЕ А. П. ЧЕХОВА КОНЦА 80-Х - НАЧАЛА 90-Х ГОДОВ (ЛЕКСИКО-СЕМАНТИЧЕСКИЙ АСПЕКТ) Трещалина И.В. диссертация на соискание ученой степени кандидата филологических наук / Тверь, 1998
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ЭМИГРАНТА В РАССКАЗАХ ТЭФФИ 1920-40-Х ГОДОВ Елизарова М.М. диссертация на соискание ученой степени кандидата филологических наук / Санкт-Петербург, 1999
# ЯЗЫКОВАЯ ЛИЧНОСТЬ В ЛИТЕРАТУРНО-ХУДОЖЕСТВЕННОМ ДИСКУРСЕ ЭРНЕСТА ХЭМИНГУЭЯ Кузневич З.А. диссертация на соискание ученой степени кандидата филологических наук / Иркутск, 1999
# ЭМОЦИОНАЛЬНЫЙ УРОВЕНЬ МУЖСКОЙ И ЖЕНСКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ И СРЕДСТВА ЕГО ВЫРАЖЕНИЯ (НА МАТЕРИАЛЕ ПЛЕНАРНЫХ ДЕБАТОВ БУНДЕСТАГА) Табурова С.К. диссертация на соискание ученой степени кандидата филологических наук / Москва, 1999
# "ПОХВАЛА", "ЛЕСТЬ" И "КОМПЛИМЕНТ" В СТРУКТУРЕ АНГЛИЙСКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Леонтьев В.В. диссертация на соискание ученой степени кандидата филологических наук / Волгоград, 1999
# ЯЗЫКОВАЯ ЛИЧНОСТЬ НОСИТЕЛЯ ЭЛИТАРНОЙ РЕЧЕВОЙ КУЛЬТУРЫ Кочеткова Т.В. Автореферат диссертации на соиск. учен. степ. д-ра филол. Наук / Волгоградский государственный педагогический университет. Волгоград, 1999
# СТАНОВЛЕНИЕ СТРУКТУРЫ УСТНОГО ДИСКУРСА КАК ВЫРАЖЕНИЕ ЭВОЛЮЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ Седов К.Ф. диссертация на соискание ученой степени доктора филологических наук / Саратов, 1999
# РЕПРЕЗЕНТАТИВНАЯ СУЩНОСТЬ ЯЗЫКОВОЙ ЛИЧНОСТИ В КОММУНИКАТИВНОМ АСПЕКТЕ РЕАЛИЗАЦИЙ Зеленская В.В. диссертация на соискание ученой степени доктора филологических наук / Краснодар, 2000
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ВЛАДИМИРА НАБОКОВА КАК АВТОРА ХУДОЖЕСТВЕННОГО ТЕКСТА (ЛЕКСИЧЕСКИЙ АСПЕКТ. НА МАТЕРИАЛЕ РУССКОЯЗЫЧНОЙ ПРОЗЫ) Каракуц-Бородина Л.А. диссертация на соискание ученой степени кандидата филологических наук / Уфа, 2000
# ЯЗЫКОВАЯ КАРТИНА МИРА А. С. ПУШКИНА КАК РУССКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ В РОМАНЕ "ЕВГЕНИЙ ОНЕГИН" Салимова Л.М. диссертация на соискание ученой степени кандидата филологических наук / Уфа, 2000
# ЭМОЦИОНАЛЬНЫЙ ДЕЙКСИС В ВЕРБАЛЬНОМ ПОВЕДЕНИИ АНГЛИЙСКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ АНГЛОЯЗЫЧНОЙ ХУДОЖЕСТВЕННОЙ ЛИТЕРАТУРЫ) Жура В.В. диссертация на соискание ученой степени кандидата филологических наук / Волгоградский государственный университет. Волгоград, 2000
# ПРОСТОРЕЧИЕ И ДИАЛЕКТ В ЯЗЫКЕ А. П. ЧЕХОВА (К ХАРАКТЕРИСТИКЕ ЯЗЫКОВОЙ ЛИЧНОСТИ ПИСАТЕЛЯ) Кудинова Т.А. диссертация на соискание ученой степени кандидата филологических наук / Ростов-на-Дону, 2000
# ОПИСАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ (КОНСТРУКТИВНЫЙ ПОДХОД) Мальцева О.Н. диссертация на соискание ученой степени кандидата филологических наук / Краснодар, 2000
# ОБРАЗЫ И ПРЕДСТАВЛЕНИЯ МИРА ПРИРОДЫ В СОЗНАНИИ РУССКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Курбатова С.А. диссертация на соискание ученой степени кандидата филологических наук / Государственный институт имени А. С. Пушкина. Москва, 2000
# ДИСКУРСНОЕ ОПИСАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ КАТУЛЛА Пшенина Т.Е. автореферат дис. ... кандидата филологических наук / Алматы, 2000
# АСПЕКТЫ ЯЗЫКОВОЙ ИГРЫ: АНОМАЛЬНОСТЬ И ПАРАДОКСАЛЬНОСТЬ ЯЗЫКОВОЙ ЛИЧНОСТИ С. ДОВЛАТОВА Букирева Т.А. диссертация на соискание ученой степени кандидата филологических наук / Краснодар, 2000
# ЯЗЫКОВАЯ ЛИЧНОСТЬ (ИДИОЛЕКТ И ДИАЛЕКТ) Лютикова В.Д. диссертация на соискание ученой степени доктора филологических наук / Екатеринбург, 2000
# ЯЗЫКОВАЯ ЛИЧНОСТЬ (ЛИНГВОКУЛЬТУРОЛОГИЧЕСКИЙ АСПЕКТ) Тхорик В.И. диссертация на соискание ученой степени доктора филологических наук / Краснодар, 2000
# ЯЗЫКОВАЯ ЛИЧНОСТЬ В АСПЕКТЕ ПСИХОЛИНГВИСТИЧЕСКИХ ХАРАКТЕРИСТИК (НА МАТЕРИАЛЕ ПИСЬМЕННЫХ ТЕКСТОВ) Кулишова Н.Д. диссертация на соискание ученой степени кандидата филологических наук / Краснодар, 2001
# ЯЗЫКОВАЯ ЛИЧНОСТЬ СОВРЕМЕННОГО СТАРШЕКЛАССНИКА Аниськина Н.В. диссертация на соискание ученой степени кандидата филологических наук / Ярославль, 2001
# ЭКСТРАЛИНГВИСТИЧЕСКИЕ И ИНТРАЛИНГВИСТИЧЕСКИЕ ФАКТОРЫ ФОРМИРОВАНИЯ РУССКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ ПРОИЗВЕДЕНИЙ ХУДОЖЕСТВЕННОЙ ЛИТЕРАТУРЫ) Полякова В.Н. диссертация на соискание ученой степени кандидата филологических наук / Ростов-на-Дону, 2001
# НОРМАТИВНО-НАУЧНАЯ КАРТИНА МИРА РУССКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ В КОМПЛЕКСНОМ ЛИНГВИСТИЧЕСКОМ РАССМОТРЕНИИ Максимчук Н.А. диссертация на соискание ученой степени доктора филологических наук / Москва, 2002
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ТЕЛЕВЕДУЩЕГО В РАМКАХ РУССКОГО РИТОРИЧЕСКОГО ЭТОСА (НА МАТЕРИАЛЕ ИГРОВЫХ ПРОГРАММ) Канчер М.А. диссертация на соискание ученой степени кандидата филологических наук / Екатеринбург, 2002
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ПОЛИТИЧЕСКОГО ЛИДЕРА (НА МАТЕРИАЛЕ ГАЗЕТ НОВЕЙШЕГО ВРЕМЕНИ) Соколовская Т.Б. диссертация на соискание ученой степени кандидата филологических наук / Санкт-Петербург, 2002
# ПАРЕМИИ КАК ЛИНГВОКУЛЬТУРНАЯ РЕПРЕЗЕНТАЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ НЕМЕЦКОГО ЯЗЫКА) Кузьмина Е.А. диссертация на соискание ученой степени кандидата филологических наук / ТГУ. Тамбов, 2002
# ОСОБЕННОСТИ ЖЕНСКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ В СОПОСТАВЛЕНИИ С МУЖСКОЙ (НА МАТЕРИАЛЕ СРАВНИТЕЛЬНЫХ КОНСТРУКЦИЙ В РЕЧИ ЖИТЕЛЕЙ Г. ЛЕСОСИБИРСКА) Шмульская Л.С. диссертация на соискание ученой степени кандидата филологических наук / Красноярск, 2002
# МЕТАФОРИЧЕСКАЯ И МЕТАТЕКСТОВАЯ КОНСТАНТЫ ЯЗЫКОВОЙ ЛИЧНОСТИ АКАДЕМИКА В. В. ВИНОГРАДОВА Федорченко И.А. диссертация на соискание ученой степени кандидата филологических наук / Новосибирск, 2002
# ЛИНГВОСОЦИОНИЧЕСКАЯ МЕТОДОЛОГИЯ ИЗУЧЕНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ В РУССКОМ ЯЗЫКЕ (НА МАТЕРИАЛЕ ПРОИЗВЕДЕНИЙ М. ЦВЕТАЕВОЙ, О. МАНДЕЛЬШТАМА, А. АХМАТОВОЙ, Н. ГУМИЛЕВА, Б. ПАСТЕРНАКА) Комиссарова Л.М. диссертация на соискание ученой степени кандидата филологических наук / Барнаул, 2002
# КОНЦЕПТ ЯЗЫКОВОЙ ЛИЧНОСТИ В АНГЛИЙСКОМ ЯЗЫКЕ В СОПОСТАВЛЕНИИ С РУССКИМ ЯЗЫКОМ (НА ПРИМЕРЕ АНАЛИЗА ВАРИАНТОВ ПЕРЕВОДОВ ПЬЕСЫ Б. ШОУ "ПИГМАЛИОН") Ишкова Т.Н. диссертация на соискание ученой степени кандидата филологических наук / Омск, 2002
# ГЕНДЕРНЫЙ ДИСКУРС-АНАЛИЗ РЕЧЕВЫХ СТРАТЕГИЙ ЖЕНСКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ РУССКОЙ И АНГЛИЙСКОЙ ДИАЛОГИЧЕСКОЙ РЕЧИ) Прокудина О.Н. диссертация на соискание ученой степени кандидата филологических наук / Кемерово, 2002
# ФЕНОМЕН ДИАЛЕКТНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Иванцова Е.В. диссертация на соискание ученой степени доктора филологических наук / Национальный исследовательский Томский государственный университет. Томск, 2002
# НАЦИОНАЛЬНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ В СРАВНИТЕЛЬНО-СОПОСТАВИТЕЛЬНОМ ЛИНГВОКУЛЬТУРОЛОГИЧЕСКОМ ОПИСАНИИ (НА МАТЕРИАЛЕ РУССКОЙ И ВЬЕТНАМСКОЙ КУЛЬТУР) Ле Дык Тху диссертация на соискание ученой степени доктора филологических наук / Москва, 2003
# РУССКАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ (КОДЫ ОБРАЗНОЙ ВЕРБАЛИЗАЦИИ ТЕЗАУРУСА) Шестак Л.А. диссертация на соискание ученой степени доктора филологических наук / Волгоградский государственный социально-педагогический университет. Волгоград, 2003
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ИВАНА IV (НА МАТЕРИАЛЕ ДОКУМЕНТОВ XVI - XVII ВЕКОВ) Шилина С.А. диссертация на соискание ученой степени кандидата филологических наук / Брянск, 2003
# ФРАЗОВАЯ НОМИНАЦИЯ КАК СРЕДСТВО ВЫРАЖЕНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ АВТОРА (НА МАТЕРИАЛЕ ЯЗЫКА ХУДОЖЕСТВЕННОЙ ЛИТЕРАТУРЫ) Фрикке Я.А. диссертация на соискание ученой степени кандидата филологических наук / Ставрополь, 2003
# СЛЕНГ КАК СОСТАВЛЯЮЩАЯ ЯЗЫКОВОЙ ЛИЧНОСТИ ПОДРОСТКА Титоренко М.Ю. диссертация на соискание ученой степени кандидата филологических наук / Москва, 2003
# ЛАКУНЫ В СТРУКТУРЕ ЯЗЫКОВОЙ ЛИЧНОСТИ И ИХ ЗАПОЛНЕНИЕ В МЕЖКУЛЬТУРНОЙ КОММУНИКАЦИИ (НА ПРИМЕРЕ АНГЛИЙСКОГО И РУССКОГО ЯЗЫКОВ) Эйнуллаева Е.А. диссертация на соискание ученой степени кандидата филологических наук / Московский государственный лингвистический университет. Москва, 2003
# ПСИХОЛИНГВИСТИЧЕСКАЯ КОНЦЕПЦИЯ ГЕНДЕРНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Фомин А.Г. диссертация на соискание ученой степени доктора филологических наук / Алтайский государственный университет. Барнаул, 2004
# РАЗВИТИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ И ЕЕ КОММУНИКАТИВНОГО СОЗНАНИЯ (НА МАТЕРИАЛЕ РЕЧЕВОГО ПОВЕДЕНИЯ МЛАДШЕГО ШКОЛЬНИКА) Лемяскина Н.А. диссертация на соискание ученой степени доктора филологических наук / Воронеж, 2004
# ЯЗЫКОВАЯ ЛИЧНОСТЬ: ЛИНГВИСТИЧЕСКИЙ И ПСИХОЛОГИЧЕСКИЙ АСПЕКТЫ (НА МАТЕРИАЛЕ РОМАНА "БЕСЫ" И "ДНЕВНИКА ПИСАТЕЛЯ" Ф.М. ДОСТОЕВСКОГО) Залогина Е.М.диссертация на соискание ученой степени кандидата филологических наук / Санкт-Петербург, 2004
# ЯЗЫКОВАЯ ЛИЧНОСТЬ УЧЕНОГО В ЭПИСТОЛЯРНЫХ ТЕКСТАХ (НА МАТЕРИАЛЕ ПИСЕМ Ю.М. ЛОТМАНА) Парсамова В.Я. -диссертация на соискание ученой степени кандидата филологических наук / Саратов, 2004
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ПИСАТЕЛЯ КАК ИСТОЧНИК РЕЧЕВЫХ ХАРАКТЕРИСТИК ПЕРСОНАЖЕЙ (ПО МАТЕРИАЛАМ ПРОИЗВЕДЕНИЙ Б. АКУНИНА) Менькова Н.Н. диссертация на соискание ученой степени кандидата филологических наук / Москва, 2004
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ИВАНА ГРОЗНОГО (НА МАТЕРИАЛЕ ДЕЛОВЫХ ПОСЛАНИЙ) Попова О.В. диссертация на соискание ученой степени кандидата филологических наук / Омск, 2004
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ЛИНГВИСТИЧЕСКИЙ И ПСИХОЛОГИЧЕСКИЙ АСПЕКТЫ (НА МАТЕРИАЛЕ РОМАНА "БЕСЫ" И "ДНЕВНИКА ПИСАТЕЛЯ" Ф.М. ДОСТОЕВСКОГО) Залогина Е.М. автореферат дис. ... кандидата филологических наук / Рос. гос. пед. ун-т им. А.И. Герцена. Санкт-Петербург, 2004
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ДИАЛЕКТОНОСИТЕЛЯ В ЖАНРОВОМ АСПЕКТЕ Казакова О.А. диссертация на соискание ученой степени кандидата филологических наук / Томск, 2004
# ЯЗЫКОВАЯ ЛИЧНОСТЬ В ЭЛЕКТРОННОМ ГИПЕРТЕКСТЕ (НА МАТЕРИАЛЕ ЭКСПРЕССИВНОГО СИНТАКСИСА ВЕДУЩИХ ЭЛЕКТРОННЫХ ЖАНРОВ) Левоненко О.А. диссертация на соискание ученой степени кандидата филологических наук / Таганрог, 2004
# СРАВНЕНИЯ В РЕЧИ ДИАЛЕКТНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Волкова Т.Ф. диссертация на соискание ученой степени кандидата филологических наук / Национальный исследовательский Томский государственный университет. Томск, 2004
# ЛИНГВОРИТОРИЧЕСКИЕ ПАРАМЕТРЫ ИДИОСТИЛЯ КАК ВЫРАЖЕНИЕ МЕНТАЛИТЕТА ЯЗЫКОВОЙ ЛИЧНОСТИ УЧЕНОГО (А.Ф. ЛОСЕВ) Дружинина В.В. диссертация на соискание ученой степени кандидата филологических наук / Сочинский государственный университет. Сочи, 2004
# ЛИНГВОКУЛЬТУРОЛОГИЧЕСКОЕ ИССЛЕДОВАНИЕ НАЦИОНАЛЬНОЙ (РУССКОЙ) ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ АФОРИСТИКИ) Василюк И.П. диссертация на соискание ученой степени кандидата филологических наук / Москва, 2004
# ЛЕКСИЧЕСКИЕ ЗАИМСТВОВАНИЯ В ПЕТРОВСКУЮ ЭПОХУ И ЯЗЫКОВАЯ ЛИЧНОСТЬ (НА МАТЕРИАЛЕ ИСТОРИКО-БИОГРАФИЧЕСКОЙ ПРОЗЫ КНЯЗЯ Б.И. КУРАКИНА) Ясинская М.Б. диссертация на соискание ученой степени кандидата филологических наук / Москва, 2004
# ИССЛЕДОВАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ СОСТАВИТЕЛЯ "ПОВЕСТИ ВРЕМЕННЫХ ЛЕТ" Аникин Д.В. диссертация на соискание ученой степени кандидата филологических наук / Барнаул, 2004
# ДИАЛОГ КУЛЬТУР В СТРУКТУРЕ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ ПОЭЗИИ Б. ГРЕБЕНЩИКОВА) Колчина О.Н. диссертация на соискание ученой степени кандидата филологических наук / Нижний Новгород, 2004
# АРГУМЕНТАТИВНЫЕ СТРАТЕГИИ ЯЗЫКОВОЙ ЛИЧНОСТИ СЕВЕРОАМЕРИКАНСКОГО ПОЛИТИКА (НА МАТЕРИАЛЕ ДИСКУРСА Г. КИССИНДЖЕРА) Мордовин А.Ю. диссертация на соискание ученой степени кандидата филологических наук / Иркутск, 2004
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ГОСУДАРСТВЕННОГО СЛУЖАЩЕГО: ДИСКУРСИВНАЯ ПРАКТИКА, ТИПОЛОГИЯ, МЕХАНИЗМЫ ФОРМИРОВАНИЯ Панова М.Н. диссертация на соискание ученой степени доктора филологических наук / Москва, 2004
# СЛОВОТВОРЧЕСТВО КАК ФЕНОМЕН ЯЗЫКОВОЙ ЛИЧНОСТИ (ПОРОЖДЕНИЕ, ФУНКЦИОНИРОВАНИЕ, УЗУАЛИЗАЦИЯ НОВОГО СЛОВА) Плотникова Л.И. диссертация на соискание ученой степени доктора филологических наук / Белгород, 2004
# АСИММЕТРИЯ СТРУКТУРЫ ЯЗЫКОВОЙ ЛИЧНОСТИ В РУССКОМ И АНГЛИЙСКОМ ВАРИАНТАХ МОРСКОГО ПРОФЕССИОНАЛЬНОГО ЯЗЫКА Солнышкина М.И. диссертация на соискание ученой степени доктора филологических наук / Казанский (Приволжский) федеральный университет. Казань, 2005
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ПЕРЕВОДЧИКА (НА МАТЕРИАЛЕ ДИСКУРСА Б.В. ЗАХОДЕРА) Шевченко О.Н. диссертация на соискание ученой степени кандидата филологических наук / Волгоградский государственный педагогический университет. Волгоград, 2005
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ПЕРСОНАЖА В АСПЕКТЕ ПСИХОПОЭТИКИ (НА МАТЕРИАЛЕ РОМАНА Л.Н. ТОЛСТОГО "АННА КАРЕНИНА") Богомолов А.Ю. диссертация на соискание ученой степени кандидата филологических наук / Череповечкий государственный университет. Череповец, 2005
# СИНЕРГЕТИКА КОНЦЕПТОСФЕРЫ С.Т. АКСАКОВА КАК РУССКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ В ДИЛОГИИ СЕМЕЙНАЯ ХРОНИКА И ДЕТСКИЕ ГОДЫ БАГРОВА-ВНУКА Кузьмина Г.Ш. диссертация на соискание ученой степени кандидата филологических наук / Башкирский государственный университет. Уфа, 2005
# ПРОФЕССИОНАЛИЗАЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА ПРИМЕРЕ ЮРИДИЧЕСКОГО ДИСКУРСА) Кубиц Г.В. диссертация на соискание ученой степени кандидата филологических наук / Челябинск, 2005
# НАИВНОЕ ЛИТЕРАТУРОВЕДЕНИЕ В ЛЕКСИКОНЕ ЯЗЫКОВОЙ ЛИЧНОСТИ Швец А.В. диссертация на соискание ученой степени кандидата филологических наук / Санкт-Петербург, 2005
# ЛЕКСИЧЕСКИЕ ЕДИНИЦЫ СО ВТОРИЧНО-НОМИНАТИВНЫМ ЗНАЧЕНИЕМ В АССОЦИАТИВНОМ ПОЛЕ РУССКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Доменко Н.В. диссертация на соискание ученой степени кандидата филологических наук / Москва, 2005
# ЭТНОКУЛЬТУРНЫЕ ХАРАКТЕРИСТИКИ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ ФРАНЦУЗСКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ) Седых А.П. диссертация на соискание ученой степени доктора филологических наук / Белгород, 2005
# ЯЗЫКОВАЯ ЛИЧНОСТЬ: ЭТНИЧЕСКИЙ АСПЕКТ (НА МАТЕРИАЛЕ БУРЯТСКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ) Шойсоронова Е.С. диссертация на соискание ученой степени кандидата филологических наук / Улан-Удэ, 2006
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ЭТНИЧЕСКИЙ АСПЕКТ (НА МАТЕРИАЛЕ БУРЯТСКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ)Шойсоронова Е.С. автореферат дис. ... кандидата филологических наук / Бурятский государственный университет. Улан-Удэ, 2006
# ТЕКСТЫ НОРМАТИВНО-ПРАВОВЫХ ДОКУМЕНТОВ В АСПЕКТЕ ЯЗЫКОВОЙ ЛИЧНОСТИ ЗАКОНОДАТЕЛЯ (НА МАТЕРИАЛЕ НОРМАТИВНО-ПРАВОВЫХ АКТОВ АЛТАЙСКОГО КРАЯ) Маланина Н.В. диссертация на соискание ученой степени кандидата филологических наук / Барнаул, 2006
# ХУДОЖЕСТВЕННО-РЕЧЕВОЕ СВОЕОБРАЗИЕ ВОЕННЫХ ПОВЕСТЕЙ 1941-1945 ГОДОВ КАК ПРОЯВЛЕНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ АВТОРОВ Арсланбекова З.Ш. диссертация на соискание ученой степени кандидата филологических наук / Махачкала, 2006
# ОБЩЕЕ И РАЗЛИЧНОЕ В СТРУКТУРЕ ЯЗЫКОВОЙ ЛИЧНОСТИ В РУССКОМ И АНГЛИЙСКОМ ВАРИАНТАХ ПРОФЕССИОНАЛЬНОГО СПОРТИВНОГО ЯЗЫКА Исмаева Ф.Х. диссертация на соискание ученой степени кандидата филологических наук / Казань, 2006
# ОККАЗИОНАЛЬНАЯ ФРАЗЕОЛОГИЧЕСКАЯ НОМИНАЦИЯ КАК СРЕДСТВО ВЫРАЖЕНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ АВТОРА ХУДОЖЕСТВЕННОГО ТЕКСТА Кривецкая Е.С. диссертация на соискание ученой степени кандидата филологических наук / Пятигорский государственный лингвистический университет. Пятигорск, 2006
# НАРКОЗАВИСИМЫЙ КАК ТИП ЯЗЫКОВОЙ ЛИЧНОСТИ Меркулова А.С. диссертация на соискание ученой степени кандидата филологических наук / Тамбов, 2006
# ДИНАМИЧЕСКОЕ МОДЕЛИРОВАНИЕ РУССКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Оленёв С.В. диссертация на соискание ученой степени кандидата филологических наук / Кемеровский государственный университет. Кемерово, 2006
# ВЕРБАЛИЗАТОРЫ КОНЦЕПТОВ "ВРЕМЯ" И "МЯТЕЖ" В СЛЕДСТВЕННОМ ДЕЛЕ ЕМЕЛЬЯНА ПУГАЧЕВА КАК МАТЕРИАЛ ДЛЯ ВОССОЗДАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ ПОСЛЕДНЕЙ ТРЕТИ XVIII ВЕКА Меркулова Н.В. диссертация на соискание ученой степени кандидата филологических наук / Магнитогорск, 2006
# ВЕРБАЛИЗАЦИЯ МЕНТАЛЬНОГО ПРОСТРАНСТВА ЯЗЫКОВОЙ ЛИЧНОСТИ АВТОРА В ХУДОЖЕСТВЕННОМ ТЕКСТЕ (НА МАТЕРИАЛЕ ТВОРЧЕСТВА АСКЕРА ЕВТЫХА) Ахиджакова М.П. диссертация на соискание ученой степени доктора филологических наук / Кубанский государственный университет. Краснодар, 2007
# ЯЗЫКОВАЯ ЛИЧНОСТЬ СТАРШЕКЛАССНИКА В АСПЕКТЕ ЕЕ РЕЧЕВЫХ РЕАЛИЗАЦИЙ (НА МАТЕРИАЛЕ ДАННЫХ АССОЦИАТИВНОГО ЭКСПЕРИМЕНТА И СОЦИОЛЕКТА ШКОЛЬНИКОВ КРАСНОДАРА) Тарасенко Т.П. диссертация на соискание ученой степени кандидата филологических наук / Кубанский государственный университет. Краснодар, 2007
# ЭТНОПСИХОЛИНГВИСТИЧЕСКИЕ ОСОБЕННОСТИ ВОСПРИЯТИЯ ФРАНЦУЗСКОГО ХУДОЖЕСТВЕННОГО ТЕКСТА ВТОРИЧНОЙ (РУССКОЙ) ЯЗЫКОВОЙ ЛИЧНОСТЬЮ Метельская Л.Н. диссертация на соискание ученой степени кандидата филологических наук / Военный университет. Москва, 2007
# СОЦИАЛЬНАЯ СТРАТИФИКАЦИЯ ЯЗЫКА В РЕЧЕВОЙ РЕПРЕЗЕНТАЦИИ ЭЛИТАРНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ СОВРЕМЕННОЙ РУССКОЙ ПРОЗЫ) Картер Е.В. диссертация на соискание ученой степени кандидата филологических наук / Череповецкий государственный университет. Череповец, 2007
# РЕЧЕВОЙ ПОРТРЕТ КОЛЛЕКТИВНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ ШКОЛЬНИКОВ 5-7 КЛАССОВ Мамаева С.В. диссертация на соискание ученой степени кандидата филологических наук / Самарский государственный университет. Лесосибирск, 2007
# ПАРЕМИОЛОГИЧЕСКИЙ МИНИМУМ В ЛЕКСИКОНЕ ЯЗЫКОВОЙ ЛИЧНОСТИ СОВРЕМЕННЫХ УЧАЩИХСЯ Петрова Л.А. диссертация на соискание ученой степени кандидата филологических наук / Новгородский государственный университет им. Ярослава Мудрого. Великий Новгород, 2007
# ОСОБЕННОСТИ ПРОЯВЛЕНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ В ОККАЗИОНАЛЬНОМ СЛОВОТВОРЧЕСТВЕ (НА МАТЕРИАЛЕ ТЕКСТОВ В. МАЯКОВСКОГО И И. СЕВЕРЯНИНА) Сичинава Ю.Н. диссертация на соискание ученой степени кандидата филологических наук / Кубанский государственный университет. Краснодар, 2007
# ОНОМАСТИЧЕСКОЕ ПРОСТРАНСТВО КАК ПРОЯВЛЕНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ АВТОРА (НА МАТЕРИАЛЕ ПРОИЗВЕДЕНИЙ С.Н. СЕРГЕЕВА-ЦЕНСКОГО) Гончарова Н.А. диссертация на соискание ученой степени кандидата филологических наук / Тамбов, 2007
# МОЛОДЕЖНЫЙ ДИСКУРС КАК РЕАЛИЗАЦИЯ ТИПОВОЙ И ИНДИВИДУАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Чабаненко М.Г. диссертация на соискание ученой степени кандидата филологических наук / Кемеровский государственный университет. Кемерово, 2007
# ЛИНГВОКОГНИТИВНЫЙ И ПРАГМАТИЧЕСКИЙ УРОВНИ ЯЗЫКОВОЙ ЛИЧНОСТИ А.П. СТЕПАНОВА Бурмакина Н.А. диссертация на соискание ученой степени кандидата филологических наук / Тюменский государственный университет. Красноярск, 2007
# ЛЕКСИКА НАУКИ И ИСКУССТВА В СТРУКТУРЕ ЯЗЫКОВОЙ ЛИЧНОСТИ А.А. ВОЗНЕСЕНСКОГО Федотова О.В. диссертация на соискание ученой степени кандидата филологических наук / Тюменский государственный университет. Тюмень, 2007
# ЯЗЫКОВАЯ ЛИЧНОСТЬ СУДЕБНОГО ОРАТОРА АНАТОЛИЯ ФЕДОРОВИЧА КОНИ Баишева З.В. диссертация на соискание ученой степени доктора филологических наук / Башкирский государственный университет. Уфа, 2007
# АМБИВАЛЕНТНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ (ЛЕКСИКА, ГРАММАТИКА, ПРАГМАТИКА) Котова Н.С. диссертация на соискание ученой степени доктора филологических наук / Кубанский государственный университет. Ростов-на-Дону, 2008
# ЯЗЫКОВАЯ ЛИЧНОСТЬ В ИНОКУЛЬТУРНОЙ СРЕДЕ (ПО ДАННЫМ РУССКОЯЗЫЧНОЙ ТЕХНИЧЕСКИ ОПОСРЕДОВАННОЙ КОММУНИКАЦИИ НОСИТЕЛЕЙ КИТАЙСКОГО ЯЗЫКА) Трубчанинова М.Е. диссертация на соискание ученой степени кандидата филологических наук / Воронежский государственный университет. Воронеж, 2008
# ЦВЕТООБОЗНАЧЕНИЯ В ЯЗЫКОВОМ СОЗНАНИИ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ РУССКОГО И ФРАНЦУЗСКОГО ЯЗЫКОВ) Петрова Е.Ю. диссертация на соискание ученой степени кандидата филологических наук / Московский государственный лингвистический университет. Москва, 2008
# ЯЗЫКОВАЯ ЛИЧНОСТЬ В УСЛОВИЯХ ФОРМИРОВАНИЯ НОРМ РУССКОГО ЛИТЕРАТУРНОГО ЯЗЫКА (ПЕРВАЯ ПОЛОВИНА XVIII ВЕКА) НА МАТЕРИАЛЕ ПИСЕМ И РАСПОРЯЖЕНИЙ А.Н. ДЕМИДОВА Иванова Е.Н. диссертация на соискание ученой степени кандидата филологических наук / Уральский федеральный университет им. первого Президента России Б.Н. Ельцина. Екатеринбург, 2008
# РОЛЬ ЯЗЫКОВОЙ ЛИЧНОСТИ В ТЕЛЕВИЗИОННОЙ РЕЧЕВОЙ КУЛЬТУРЕ Галстян С.С. диссертация на соискание ученой степени кандидата филологических наук / Институт повышения квалификации работников телевидения и радиовещания. Москва, 2008
# МОДЕЛЬ КОНФЛИКТНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ УЧАСТНИКА МАССМЕДИЙНОГО ДИСКУРСА (НА МАТЕРИАЛЕ РАДИО, ТЕЛЕВИДЕНИЯ И ИНТЕРНЕТА) Шаповалова Н.Г. диссертация на соискание ученой степени кандидата филологических наук / Саратовский государственный университет им. Н.Г. Чернышевского. Саратов, 2008
# ЛИНГВО-РИТОРИЧЕСКОЕ ОПИСАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ НА ПРИМЕРЕ ПУБЛИЧНЫХ ВЫСТУПЛЕНИЙ ПЕТЕНА И ДЕ ГОЛЛЯ ВО ВРЕМЯ ВТОРОЙ МИРОВОЙ ВОЙНЫ Дарьина Е.В. диссертация на соискание ученой степени кандидата филологических наук / Московский государственный университет им. М.В. Ломоносова (МГУ). Москва, 2008
# ИНТЕРТЕКСТУАЛЬНЫЙ ТЕЗАУРУС СОВРЕМЕННОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ ПИСЬМЕННЫХ ТЕКСТОВ СМИ, КВН И ИНТЕЛЛЕКТУАЛЬНЫХ ИГР) Соломина Н.В. диссертация на соискание ученой степени кандидата филологических наук / Уральский государственный педагогический университет. Омск, 2008
# ИЗОМОРФИЗМ И АЛЛОМОРФИЗМ ВЕРБАЛЬНО-СЕМАНТИЧЕСКОГО УРОВНЯ ЯЗЫКОВОЙ ЛИЧНОСТИ РУССКОЯЗЫЧНОГО И НЕМЕЦКОЯЗЫЧНОГО ЧАТ-КОММУНИКАНТА (НА МАТЕРИАЛЕ ЧАТОВ ОБЩЕЙ ТЕМАТИКИ) Амурская О.Ю. диссертация на соискание ученой степени кандидата филологических наук / Татарский государственный гуманитарно-педагогический университет. Казань, 2008
# ВЗАИМОДЕЙСТВИЕ ЯЗЫКОВЫХ ЛИЧНОСТЕЙ ПРИ ПОЭТИЧЕСКОМ ПЕРЕВОДЕ (НА МАТЕРИАЛЕ АНГЛИЙСКОГО И РУССКОГО ЯЗЫКОВ) Салахитдинова Э.Д. автореферат дис. ... кандидата филологических наук / Киргизско-Российский славянский университет. Бишкек, 2008
# ЯЗЫКОВАЯ ЛИЧНОСТЬ В ПОЭТИЧЕСКОМ ИДИОЛЕКТЕ ГЕОРГИЯ ИВАНОВА Кац Е.А. диссертация на соискание ученой степени кандидата филологических наук / Московский государственный университет им. М.В. Ломоносова (МГУ). Москва, 2009
# ЯЗЫКОВАЯ ЛИЧНОСТЬ В ПУБЛИЦИСТИЧЕСКОМ ДИСКУРСЕ (НА МАТЕРИАЛЕ НЕМЕЦКИХ ЖУРНАЛЬНЫХ ТЕКСТОВ) Дедюкова М.В. диссертация на соискание ученой степени кандидата филологических наук / Московский государственный университет им. М.В. Ломоносова (МГУ). Москва, 2009
# ЭСТЕТИЧЕСКАЯ ОЦЕНКА В МИРЕ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ ТВОРЧЕСТВА Л.Н. ТОЛСТОГО) Алексеева В.Е. диссертация на соискание ученой степени кандидата филологических наук / Институт языкознания Российской академии наук. Москва, 2009
# ТРАДИЦИОННАЯ РУССКАЯ ФРАЗЕОЛОГИЯ В ЯЗЫКОВОЙ ЛИЧНОСТИ СОВРЕМЕННЫХ ШКОЛЬНИКОВ И ПРОБЛЕМЫ СОЗДАНИЯ КОМПЛЕКСНОГО УЧЕБНОГО ФРАЗЕОЛОГИЧЕСКОГО СЛОВАРЯ Андронова Е.В. диссертация на соискание ученой степени кандидата филологических наук / Воронежский государственный университет. Воронеж, 2009
# САМОПРЕЗЕНТАЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ В НЕМЕЦКОМ МОЛОДЕЖНОМ ЧАТ-ДИСКУРСЕ: СОБСТВЕННО МОЛОДЕЖНОЕ И НАЦИОНАЛЬНО-СПЕЦИФИЧЕСКОЕ Цибизов К.С. диссертация на соискание ученой степени кандидата филологических наук / Саратовский государственный университет им. Н.Г. Чернышевского. Саратов, 2009
# ЭВОЛЮЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТА В БИЛИНГВОМЕНТАЛЬНОМ ПРОСТРАНСТВЕ УЧЕБНОГО ДИСКУРСА Шаброва Н.С. диссертация на соискание ученой степени кандидата филологических наук / Кубанский государственный университет. Тюмень, 2009
# КОМПОНЕНТЫ КОНЦЕПТОСФЕРЫ ЯЗЫКОВОЙ ЛИЧНОСТИ СМЕРДЯКОВА И ОСОБЕННОСТИ ЕЁ ДИСКУРСИВНОЙ РЕАЛИЗАЦИИ В РОМАНЕ Ф.М. ДОСТОЕВСКОГО "БРАТЬЯ КАРАМАЗОВЫ" Луговская Е.Г. диссертация на соискание ученой степени кандидата филологических наук / Российский университет дружбы народов (РУДН). Тирасполь, 2009
# СПЕЦИФИКА ЭЛИТАРНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ В ЭПИСТОЛЯРНОМ ДИАЛОГЕ (М. ЦВЕТАЕВА И Б. ПАСТЕРНАК) Сулейманова М.А. диссертация на соискание ученой степени кандидата филологических наук / Дагестанский государственный педагогический университет. Махачкала, 2009
# РУССКИЙ РЕЛИГИОЗНО-ФИЛОСОФСКИЙ ДИСКУРС НАЧАЛА XX В.: ЛИНГВОРИТОРИЧЕСКИЕ ПАРАМЕТРЫ ГРУППОВОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ СБОРНИКА СТАТЕЙ "ИЗ ГЛУБИНЫ", 1918 Г.) Анистратенко И.В. диссертация на соискание ученой степени кандидата филологических наук / Кабардино-Балкарский государственный университет им. Х.М. Бербекова. Сочи, 2009
# РУССКАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ В АСПЕКТЕ ЛИНГВОКОГНИТИВНЫХ СТИЛЕЙ РЕПРОДУЦИРОВАНИЯ НАУЧНОГО ТЕКСТА (НА МАТЕРИАЛЕ СТУДЕНЧЕСКИХ РЕФЕРАТОВ) Прокудина И.С. диссертация на соискание ученой степени кандидата филологических наук / Кемеровский государственный университет. Кемерово, 2009
# ЛИНГВОКРЕАТИВНАЯ СПОСОБНОСТЬ ЯЗЫКОВОЙ ПОЭТИЧЕСКОЙ ЛИЧНОСТИ: ПРОЦЕССЫ НЕОЛОГИЗАЦИИ В РУССКОЙ ПОЭЗИИ XX ВЕКА (НА МАТЕРИАЛЕ ТВОРЧЕСТВА В.В. ХЛЕБНИКОВА, А.Е. КРУЧЕНЫХ, А.А. ВОЗНЕСЕНСКОГО И Г.В. САПГИРА) Морозов Д.О. диссертация на соискание ученой степени кандидата филологических наук / Уральский государственный университет им. А.М. Горького. Екатеринбург, 2009
# ДИСКУРС СОВРЕМЕННОЙ ПРЕССЫ КАК СМЫСЛОВОЕ ПОЛЕ ФОРМИРОВАНИЯ ЦЕННОСТНЫХ ОРИЕНТИРОВ КОЛЛЕКТИВНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (МИКРОКОНЦЕПТОСФЕРА "БОГАТСТВО") Зубарев С.В. диссертация на соискание ученой степени кандидата филологических наук / Кабардино-Балкарский государственный университет им. Х.М. Бербекова. Сочи, 2009
# ДИНАМИЧЕСКИЕ ПРОЦЕССЫ В ЛЕКСИКОНЕ ЯЗЫКОВОЙ ЛИЧНОСТИ Гончарова Е.А. диссертация на соискание ученой степени кандидата филологических наук / Новосибирский государственный педагогический университет. Новосибирск, 2009
# ГЕРОЙ РАССКАЗОВ В. ШУКШИНА КАК НАЦИОНАЛЬНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ Лю Лицзюнь диссертация на соискание ученой степени кандидата филологических наук / Санкт-Петербургский государственный университет. Санкт-Петербург, 2009
# АРГУМЕНТАТИВНЫЕ СТРАТЕГИИ БРИТАНСКОГО ПОЛИТИКА (НА ПРИМЕРЕ ЯЗЫКОВОЙ ЛИЧНОСТИ ПРЕМЬЕР-МИНИСТРА Т. БЛЭРА) Петрухина О.П. диссертация на соискание ученой степени кандидата филологических наук / Иркутский государственный лингвистический университет. Абакан, 2009
# ЯЗЫКОВАЯ КАРТИНА МИРА В СТРУКТУРЕ РЕЧЕМЫСЛИТЕЛЬНОЙ ДЕЯТЕЛЬНОСТИ РУССКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ СОЧИНЕНИЙ ПО КАРТИНЕ В.А. СЕРОВА "ДЕВОЧКА С ПЕРСИКАМИ") Шпильная Н.Н. диссертация на соискание ученой степени кандидата филологических наук / Кемеровский государственный университет. Кемерово, 2010
# ЦЕЛОСТНОСТЬ ЯЗЫКОВОЙ ЛИЧНОСТИ: ФУНКЦИОНАЛЬНО-ПРАГМАТИЧЕСКИЙ И РИТОРИЧЕСКИЙ АСПЕКТЫ (НА МАТЕРИАЛЕ РЕЧЕЙ ПРЕЗИДЕНТА США Ф.Д. РУЗВЕЛЬТА) Базалук Е.И. диссертация на соискание ученой степени кандидата филологических наук / Ставропольский государственный университет. Краснодар, 2010
# ФРАЗЕОЛОГИЗМЫ КАК СПОСОБ РЕПРЕЗЕНТАЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ АВТОРА ХУДОЖЕСТВЕННОГО ТЕКСТА (НА МАТЕРИАЛЕ РОМАНА ДЖ. ГОЛСУОРСИ "СОБСТВЕННИК") Лысенко В.Л. диссертация на соискание ученой степени кандидата филологических наук / Адыгейский государственный университет. Майкоп, 2010
# СПЕЦИФИКА РЕАЛИЗАЦИИ КОНЦЕПТУАЛЬНОГО ПРЕДСТАВЛЕНИЯ "ДРУЖБА" В СОЗНАНИИ ЯЗЫКОВОЙ ЛИЧНОСТИ Масгутова М.Ф. Диссертация на соискание ученой степени кандидата филологических наук / Челябинский государственный университет. Челябинск, 2010
# РУССКИЙ ЯЗЫК КАК ФАКТОР ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ ДАГЕСТАНЦА-БИЛИНГВА Юнусова К.А. диссертация на соискание ученой степени кандидата филологических наук / Дагестанский государственный педагогический университет. Махачкала, 2010
# РЕЧЕВЫЕ ОСОБЕННОСТИ ПОЛИТИКА КАК СИЛЬНОЙ/СЛАБОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ: ЛИНГВОПРАГМАТИЧЕСКИЙ И ЛИНГВОКУЛЬТУРНЫЙ АСПЕКТЫ (НА МАТЕРИАЛЕ РУССКОГО И АНГЛИЙСКОГО ЯЗЫКОВ) Тхакушинова Ж.Б. диссертация на соискание ученой степени кандидата филологических наук / Адыгейский государственный университет. Краснодар, 2010
# МОЛЧАНИЕ И СРАВНЕНИЕ КАК ЭЛЕМЕНТЫ ИДИОСТИЛЯ ЯЗЫКОВОЙ ЛИЧНОСТИ А.П. НЕРКАГИ (НА МАТЕРИАЛЕ ПОВЕСТЕЙ "АНИКО ИЗ РОДА НОГО", "ИЛИР", "БЕЛЫЙ ЯГЕЛЬ", "МОЛЧАЩИЙ") Третьякова Н.Ю. диссертация на соискание ученой степени кандидата филологических наук / Тюменский государственный университет. Тюмень, 2010
# ГЛАГОЛ КАК СРЕДСТВО РЕПРЕЗЕНТАЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ ПЕРСОНАЖА (НА МАТЕРИАЛЕ РОМАНА Ф.М. ДОСТОЕВСКОГО "ПРЕСТУПЛЕНИЕ И НАКАЗАНИЕ") Никандрова И.А. диссертация на соискание ученой степени кандидата филологических наук / Московский государственный гуманитарный университет им. М.А. Шолохова. Коломна, 2010
# ВТОРИЧНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ В ОНТОГЕНЕЗЕ: УРОВНИ ЛИНГВОКУЛЬТУРОЛОГИЧЕСКОГО ОПИСАНИЯ (НА МАТЕРИАЛЕ НАЧАЛЬНОГО ЭТАПА ОБУЧЕНИЯ АНГЛИЙСКОМУ ЯЗЫКУ РУССКОЯЗЫЧНЫХ УЧАЩИХСЯ) Мамонтова Н.А. диссертация на соискание ученой степени кандидата филологических наук / Военный университет. Москва, 2010
# АКСИОЛОГИЧЕСКАЯ МОДЕЛЬ ЯЗЫКОВОЙ ЛИЧНОСТИ В ДРУЖЕСКОМ ЭПИСТОЛЯРНОМ ДИСКУРСЕ (НА МАТЕРИАЛЕ ПИСЕМ ШВЕЙЦАРСКОГО ПИСАТЕЛЯ XX ВЕКА МАКСА ФРИША) Фокина К.В. диссертация на соискание ученой степени кандидата филологических наук / Саратовский государственный университет им. Н.Г. Чернышевского. Саратов, 2010
# РУССКАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ ПРОФЕССИОНАЛЬНОГО ПЕРЕВОДЧИКА Бушев А.Б. диссертация на соискание ученой степени доктора филологических наук / Государственный институт русского языка. Москва, 2010
# ЯЗЫКОВАЯ ЛИЧНОСТЬ СУБЪЕКТА БЛОГ-ДИСКУРСА (ЛИНГВОКОГНИТИВНЫЙ АСПЕКТ) Гермашева Т.М. диссертация на соискание ученой степени кандидата филологических наук / Кабардино-Балкарский государственный университет им. Х.М. Бербекова. Ростов-на-Дону, 2011
# ЯЗЫКОВАЯ ЛИЧНОСТЬ СТУДЕНТА ПОЛИЭТНИЧЕСКОГО ВУЗА Фомина Ю.С. диссертация на соискание ученой степени кандидата филологических наук / Башкирский государственный университет. Уфа, 2011
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ПОЛИТИЧЕСКОГО ДЕЯТЕЛЯ: ДИСКУРСИВНЫЕ ХАРАКТЕРИСТИКИ (НА МАТЕРИАЛЕ РЕЧЕЙ УИНСТОНА ЧЕРЧИЛЛЯ) Кричун Ю.А. диссертация на соискание ученой степени кандидата филологических наук / Кубанский государственный университет. Краснодар, 2011
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ПЕРСОНАЖА ЛИТЕРАТУРНОГО ПРОИЗВЕДЕНИЯ И ПСИХОТИП ЧЕЛОВЕКА (НА ПРИМЕРЕ ПРОИЗВЕДЕНИЙ М.А. БУЛГАКОВА) Смирнова А.А. диссертация на соискание ученой степени кандидата филологических наук / Московский государственный областной университет. Москва, 2011
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ПЕРСОНАЖА: ОБЩЕЕ И РАЗЛИЧНОЕ В КАТЕГОРИЗАЦИИ ВЕЖЛИВОСТИ (НА МАТЕРИАЛЕ ОРИГИНАЛА И ПЕРЕВОДА РОМАНА И.С. ТУРГЕНЕВА "ОТЦЫ И ДЕТИ" НА АНГЛИЙСКИЙ ЯЗЫК) Гарипова Г.Ш. диссертация на соискание ученой степени кандидата филологических наук / Татарский государственный гуманитарно-педагогический университет. Казань, 2011
# ЯЗЫКОВАЯ И ЛИТЕРАТУРНАЯ ЛИЧНОСТЬ А. ГАЙДАРА В ЛИНГВОРИТОРИЧЕСКИХ ПАРАМЕТРАХ СОВЕТСКОГО ХУДОЖЕСТВЕННО-ИДЕОЛОГИЧЕСКОГО ДИСКУРСА Субботина И.К. диссертация на соискание ученой степени кандидата филологических наук / Кабардино-Балкарский государственный университет им. Х.М. Бербекова. Сочи, 2011
#ТРАНСФОРМАЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ В ИНТЕРНЕТ-КОММУНИКАЦИИ (НА ПРИМЕРЕ ФРАНЦУЗСКОЙ БЛОГОСФЕРЫ) Казнова Н.Н. диссертация на соискание ученой степени кандидата филологических наук / Пермский государственный национальный исследовательский университет. Пермь, 2011
# СИММЕТРИЯ И АСИММЕТРИЯ ТЕЗАУРУСНОГО УРОВНЯ ЯЗЫКОВОЙ ЛИЧНОСТИ МУЗЫКАНТА (НА МАТЕРИАЛЕ РУССКОГО И НЕМЕЦКОГО ЯЗЫКОВ) Мутигуллина Э.Н. диссертация на соискание ученой степени кандидата филологических наук / Казан. (Приволж.) федер. ун-т. Казань, 2011
# ЛИНГВОКОГНИТИВНЫЕ СПОСОБЫ ЭКСПЛИКАЦИИ МЕНТАЛЬНОСТИ ЯЗЫКОВОЙ ЛИЧНОСТИ ДЖОНА ГОЛСУОРСИ (НА МАТЕРИАЛЕ РОМАНА "САГА О ФОРСАЙТАХ") Хакуй М.А. диссертация на соискание ученой степени кандидата филологических наук / Адыгейский государственный университет. Майкоп, 2011
# СИЛЬНАЯ/СЛАБАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ: КОММУНИКАТИВНО-ПРАГМАТИЧЕСКИЕ ХАРАКТЕРИСТИКИ (НА МАТЕРИАЛЕ ТЕКСТОВ Д. КАРНЕГИ) Кадилина О.А. диссертация на соискание ученой степени кандидата филологических наук / Кубанский государственный университет. Краснодар, 2011
# ЛИНГВОПРАГМАТИЧЕСКИЕ И КОГНИТИВНЫЕ АСПЕКТЫ РЕПРЕЗЕНТАЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ В ХУДОЖЕСТВЕННОМ ОПИСАНИИ ПРИРОДЫ Куршакова Т.Д. диссертация на соискание ученой степени кандидата филологических наук / Кубанский государственный университет. Краснодар, 2011
# КОНЦЕПТУАЛЬНАЯ РЕПРЕЗЕНТАЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТА СРЕДНЕГО ПРОФЕССИОНАЛЬНОГО ОБРАЗОВАНИЯ (КОГНИТИВНЫЙ И ПРАГМАТИЧЕСКИЙ УРОВНИ) Демидова Т.В. диссертация на соискание ученой степени кандидата филологических наук / Адыгейский государственный университет. Майкоп, 2011
# КОММУНИКАТИВНЫЕ НЕУДАЧИ В ДИАЛОГИЧЕСКОМ ОБЩЕНИИ В СООТНЕСЕННОСТИ С КОММУНИКАТИВНЫМИ ЗАКОНАМИ И ТИПАМИ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ НЕМЕЦКОГО ЯЗЫКА) Шпомер Е.А. диссертация на соискание ученой степени кандидата филологических наук / Барнаульский государственный педагогический университет. Абакан, 2011
# ИНСТИТУЦИОНАЛЬНЫЙ ЛИЧНОСТНО-ОРИЕНТИРОВАННЫЙ КОНЦЕПТ ДЕСТРУКТИВНАЯ ЛИЧНОСТЬ И ЕГО ЯЗЫКОВАЯ РЕПРЕЗЕНТАЦИЯ В ХУДОЖЕСТВЕННОМ ТЕКСТЕ Борисов П.М. диссертация на соискание ученой степени кандидата филологических наук / Московский государственный областной университет. Москва, 2011
# АМЕРИКАНСКАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ В КУЛЬТУРНО-ИСТОРИЧЕСКОМ ПРОСТРАНСТВЕ США XX ВЕКА (ОПЫТ ПРОТОТИПИЧЕСКОГО ПОДХОДА) Ма Т.Ю. диссертация на соискание ученой степени доктора филологических наук / Федеральное государственное образовательное учреждение высшего профессионального образования "Московский государственный университет". Москва, 2012
# ЯЗЫКОВАЯ ЛИЧНОСТЬ В КОНТЕКСТЕ ЯЗЫКОВОЙ ИГРЫ (НА МАТЕРИАЛЕ РОССИЙСКИХ ТОК-ШОУ) Бирюкова Е.О. диссертация на соискание ученой степени кандидата филологических наук / Вологодский государственный педагогический университет. Череповец, 2012
# ЭЛИТАРНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ В ПРОФЕССИОНАЛЬНОМ ДИСКУРСЕ Силантьева М.С. автореферат диссертации на соискание ученой степени кандидата филологических наук / Пермский государственный национальный исследовательский университет. Пермь, 2012
# ЯЗЫКОВАЯ ЛИЧНОСТЬ БЫВШЕГО СЕЛЬСКОГО ЖИТЕЛЯ Власкова М.В. диссертация на соискание ученой степени кандидата филологических наук / Вятский государственный гуманитарный университет. Арзамас, 2012
# ЭЛИТАРНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ В ПРОФЕССИОНАЛЬНОМ ДИСКУРСЕ Силантьева М.С. диссертация на соискание ученой степени кандидата филологических наук / Пермский государственный национальный исследовательский университет. Пермь, 2012
# ОСОБЕННОСТИ РЕПРЕЗЕНТАЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ ПОДРОСТКА: ЛИНГВО-ПРАГМАТИЧЕСКИЙ АСПЕКТ (НА МАТЕРИАЛЕ СОВРЕМЕННЫХ АНГЛОЯЗЫЧНЫХ УЧЕБНО-МЕТОДИЧЕСКИХ КОМПЛЕКСОВ И ХУДОЖЕСТВЕННОЙ ЛИТЕРАТУРЫ О ПОДРОСТКАХ) Строгонова О.Л. диссертация на соискание ученой степени кандидата филологических наук / Московский государственный университет им. М.В. Ломоносова (МГУ). Москва, 2012
# НОМИНАТИВНАЯ ЛИЧНОСТЬ КАК РЕАЛИЗАЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ (ОПЫТ ЭКСПЕРИМЕНТАЛЬНОГО ИССЛЕДОВАНИЯ) Гафурова М.Н. диссертация на соискание ученой степени кандидата филологических наук / Уральский федеральный университет имени первого Президента России Б.Н. Ельцина. Екатеринбург, 2012
# ЛИНГВОКОГНИТИВНАЯ ПРИРОДА КОНЦЕПТА "ИСКУССТВО" ЯЗЫКОВОЙ ЛИЧНОСТИ АВТОРА (НА МАТЕРИАЛЕ ХУДОЖЕСТВЕННЫХ ТЕКСТОВ ДЖ. ФАУЛЗА "КОЛЛЕКЦИОНЕР", "ВОЛХВ", "ЛЮБОВНИЦА ФРАНЦУЗСКОГО ЛЕЙТЕНАНТА") Малова Н.Е. диссертация на соискание ученой степени кандидата филологических наук / Адыгейский государственный университет. Майкоп, 2012
# КОММУНИКАТИВНАЯ МОДЕЛЬ РАЗВИТИЯ ПРОБЛЕМЫ КАК ОТРАЖЕНИЕ МЫСЛИТЕЛЬНОГО СТИЛЯ ЯЗЫКОВОЙ ЛИЧНОСТИ ЧЕРЕЗ ПРИЗМУ ОТВЕТНОГО ПРОСТРАНСТВА ИНТЕРВЬЮ Скворцова В.А. диссертация на соискание ученой степени кандидата филологических наук / Адыгейский государственный университет. Краснодар, 2012
# ИЗОБРАЖЕНИЕ ФРУСТРИРУЮЩЕЙ ЯЗЫКОВОЙ ЛИЧНОСТИ В РУССКИХ ХУДОЖЕСТВЕННЫХ И ЭПИСТОЛЯРНЫХ ТЕКСТАХ Колышкина И.М. диссертация на соискание ученой степени кандидата филологических наук / Тамбовский государственный университет им. Г.Р. Державина. Липецк, 2012
# ДИАЛЕКТНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ НА АЛТАЕ Прокофьева Е.В. диссертация на соискание ученой степени кандидата филологических наук / Алтайский государственный университет. Барнаул, 2012
# СИНТАКСИЧЕСКАЯ ХАРАКТЕРИСТИКА ЯЗЫКОВОЙ ЛИЧНОСТИ Шаталова О.В. диссертация на соискание ученой степени доктора филологических наук / Елецкий государственный университет им. И.А. Бунина. Елец, 2012
# ЗНАКИ АВТОРСТВА КАК СРЕДСТВА ВЕРБАЛЬНОЙ МАНИФЕСТАЦИИ СМЫСЛОВОЙ СФЕРЫ ТВОРЧЕСКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИЧетверикова О.В. диссертация ... доктора филологических наук : 10.02.19 / Тверской государственный университет. Тверь, 2013
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ПЕДАГОГА: СТАТИКА И ДИНАМИКА : Сергеева О.В. диссертация на соискание ученой степени кандидата филологических наук / Адыгейский государственный университет. Краснодар, 2013
# ЭЛИТАРНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ В ПУБЛИЦИСТИЧЕСКОМ ДИСКУРСЕ (НА МАТЕРИАЛЕ ПУБЛИЦИСТИЧЕСКОГО ТВОРЧЕСТВА С. РАССАДИНА) Ашева А.А. автореферат дис. ... кандидата филологических наук / Адыг. гос. ун-т. Майкоп, 2013
# ЭЛОКУТИВНАЯ ПРАГМАТИКА ПЕЧАТНЫХ СМИ В КОНТЕКСТЕ ФОРМИРОВАНИЯ ИНТЕРНАЦИОНАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Антипова Д.Г. автореферат дис. ... кандидата филологических наук / Хакас. гос. ун-т им. Н.Ф. Катанова. Абакан, 2013
# СПЕЦИФИКА ФОРМИРОВАНИЯ И РАЗВИТИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ В МОНО- И ПОЛИЭТНИЧЕСКОЙ СРЕДЕ (НА ПРИМЕРЕ КАБАРДИНО-БАЛКАРСКОЙ РЕСПУБЛИКИ) Безрокова М.Б. диссертация на соискание ученой степени кандидата филологических наук / Кабардино-Балкарский государственный университет им. Х.М. Бербекова. Нальчик, 2013
# РУССКИЙ КОСМОФИЛОСОФСКИЙ ДИСКУРС КАК РЕЧЕМЫСЛИТЕЛЬНЫЙ ПРОДУКТ КОЛЛЕГИАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ: ЛИНГВОРИТОРИЧЕСКИЙ ПОДХОД : Тихонова А.Б. автореферат дис. ... кандидата филологических наук / Адыг. гос. ун-т. Майкоп, 2013
# ОСОБЕННОСТИ РЕАЛИЗАЦИИ ПРОФЕССИОНАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ В ЕСТЕСТВЕННОЙ ПИСЬМЕННОЙ РЕЧИ ПРЕДПРИНИМАТЕЛЕЙ Золотова Е.С. диссертация ... кандидата филологических наук : 10.02.19 / Челябинский государственный университет. Челябинск, 2013
# НАЦИОНАЛЬНО-ОБУСЛОВЛЕННАЯ ЛЕКСИКА КАК КУЛЬТУРООБРАЗУЮЩИЙ ФАКТОР ФОРМИРОВАНИЯ МЕКСИКАНСКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Гусева И.В. диссертация ... кандидата филологических наук : 10.02.05 / Московский государственный институт Международных отношений. Москва, 2013
# ЛИНГВОСОЦИОНИЧЕСКОЕ МОДЕЛИРОВАНИЕ РУССКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ ИНТЕРНЕТ-БЛОГА) Замилова А.В. Диссертация на соискание ученой степени кандидата филологических наук / Кемеровский государственный университет. Кемерово, 2013
# ЛИНГВОПРАГМАТИЧЕСКИЕ ОСОБЕННОСТИ ПЕРЕВОПЛОЩЕННОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Косинова Е.В. на материале немецкого языка : диссертация ... кандидата филологических наук : 10.02.19 / Кемеровский государственный университет. Новокузнецк, 2013
# КОНЦЕПТУАЛИЗАЦИЯ ОЙКОНИМОВ В СОЗНАНИИ РЕГИОНАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Ганова С.В. диссертация на соискание ученой степени кандидата филологических наук / Кемеровский государственный университет. Бийск, 2013
# В.В. ВИНОГРАДОВ КАК ПРОФЕССИОНАЛЬНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ УЧЕНОГО-ФИЛОЛОГА: ЛИНГВОРИТОРИЧЕСКИЙ АСПЕКТ : Кузнецова Л.Н. на материале текстов о языке и стиле русских писателей : диссертация ... кандидата филологических наук : 10.02.19 / Адыгейский государственный университет. Сочи, 2013
# ЯЗЫКОВАЯ ЛИЧНОСТЬ В ВИРТУАЛЬНОМ ДИСКУРСЕ Лутовинова О.В. автореферат дис. ... доктора филологических наук / Волгогр. гос. соц.-пед. ун-т. Волгоград, 2013
# РУССКАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ В ПОЛИКУЛЬТУРНОМ ПРОСТРАНСТВЕ БЛИЖНЕГО ЗАРУБЕЖЬЯ Млечко Т.П. автореферат дис. ... доктора филологических наук / Рос. ун-т дружбы народов. Москва, 2014
# ТИПОЛОГИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ ТЕЛЕВИЗИОННОГО СПОРТИВНОГО КОММЕНТАТОРА (КОММУНИКАТИВНО-ПРАГМАТИЧЕСКИЙ АСПЕКТ) Косякин И.В. автореферат дис. ... кандидата филологических наук / Воронеж. гос. ун-т. Воронеж, 2014
# ЯЗЫКОВАЯ ЛИЧНОСТЬ МУЗЫКАНТА В ЭТНОКУЛЬТУРНОМ АСПЕКТЕ (НА МАТЕРИАЛЕ ДИСКУРСНЫХ МАНИФЕСТАЦИЙ А.Н. СКРЯБИНА И К. ДЕБЮССИ) Быканова М.С. Диссертация на соискание ученой степени кандидата филологических наук / Белгородский государственный национальный исследовательский университет. Белгород, 2014
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ЕКАТЕРИНЫ ВТОРОЙ Никитина А.Ю. автореферат дис. ... кандидата филологических наук / Казан. (Приволж.) федер. ун-т. Казань, 2014
# СОЦИОКОММУНИКАТИВНЫЕ ХАРАКТЕРИСТИКИ ЯЗЫКОВОЙ ЛИЧНОСТИ ПЕРЕВОДЧИКА (НА МАТЕРИАЛЕ РУССКОГО И АНГЛИЙСКОГО ЯЗЫКОВ) Гуреева А.А. автореферат дис. ... кандидата филологических наук / Волгогр. гос. соц.-пед. ун-т. Волгоград, 2014
# ДЕТСКИЙ ДИСКУРС КАК ФЕНОМЕН ФОРМИРУЮЩЕЙСЯ ЯЗЫКОВОЙ ЛИЧНОСТИ Данюшина Л.А. автореферат дис. ... кандидата филологических наук / Юж. федер. ун-т. Ростов-на-Дону, 2014
# ГЕНДЕРНЫЕ ОСОБЕННОСТИ ФУНКЦИОНИРОВАНИЯ НЕВЕРБАЛЬНЫХ КОМПОНЕНТОВ В КОММУНИКАТИВНОМ ПОВЕДЕНИИ ЯЗЫКОВОЙ ЛИЧНОСТИ: МЕЖКУЛЬТУРНЫЙ АСПЕКТ Дутова Н.В. диссертация на соискание ученой степени кандидата филологических наук / Бурятский государственный университет. Улан-Удэ, 2014
# ВОЗМУЩАЮЩАЯСЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ КОММУНИКАТИВНО-ПРАГМАТИЧЕСКИЙ ПОДХОД (НА МАТЕРИАЛЕ АНГЛИЙСКОГО И ФРАНЦУЗСКОГО ЯЗЫКОВ) Якищенко Е.А. автореферат дис. ... кандидата филологических наук / Кемер. гос. ун-т. Кемерово, 2014
# ВЕРБАЛЬНОЕ ПОВЕДЕНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ СТАРШЕКЛАССНИКА В ЖАНРЕ СОЧИНЕНИЯ ФОРМАТА ЕГЭ Ситдикова М.Г. диссертация ... кандидата филологических наук : 10.02.01 / Башкирский государственный университет. Уфа, 2014
# ЯЗЫКОВАЯ ЛИЧНОСТЬ М. И. ЦВЕТАЕВОЙ КАК ОБЪЕКТ ЛЕКСИКОГРАФИИ Шевченко Н.М. Диссертация на соискание ученой степени доктора филологических наук: по специальности 10.02.01 – русский язык / Российский университет дружбы народов. Москва, 2014
# ТРАНСФОРМАЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ В ЭТНОЛИНГВИСТИЧЕСКОМ ПРОСТРАНСТВЕ РОССИЙСКО-КАЗАХСТАНСКОГО ПРИГРАНИЧЬЯ (НА ПРИМЕРЕ ТАТАРСКОГО И КАЗАХСКОГО ЯЗЫКОВ) Койше К.К. автореферат дис. ... доктора филологических наук / Башкир. гос. ун-т. Уфа, 2014
# ИДИОСТИЛЬ ИНФОРМАЦИОННО-МЕДИЙНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ: КОММУНИКАТИВНО-КОГНИТИВНЫЕ АСПЕКТЫ ИССЛЕДОВАНИЯ Болотнов А.В. Диссертация на соискание ученой степени доктора филологических наук / Томский государственный педагогический университет. Томск, 2015
# ЯЗЫКОВАЯ ЛИЧНОСТЬ РЕГИОНАЛЬНОГО ТЕЛЕВЕДУЩЕГО В КОНТЕКСТЕ ТЕЛЕВИЗИОННОГО ДИСКУРСА Касимханова А.Ф. автореферат дис. ... кандидата филологических наук / Башкир. гос. ун-т. Уфа, 2015
# ЯЗЫКОВАЯ ЛИЧНОСТЬ В.Е. МАКСИМОВА (НА МАТЕРИАЛЕ ХУДОЖЕСТВЕННОЙ ПРОЗЫ) Васильева М.Н. Автореферат диссертации на соискание ученой степени кандидата филологических наук / Башкирский государственный педагогический университет им. М. Акмуллы. Уфа, 2015
# СЕМАНТИЧЕСКОЕ ПОЛЕ "АНТИЧНОСТЬ" В ЛЕКСИКОНЕ СОВРЕМЕННОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Румянцева Н.А. автореферат дис. ... кандидата филологических наук / Рос. гос. пед. ун-т им. А.И. Герцена. Санкт-Петербург, 2015
# ОСОБЕННОСТИ ЯЗЫКОВОЙ ЛИЧНОСТИ С.Д. ДОВЛАТОВА Хлупина М.А. автореферат дис. ... кандидата филологических наук / Моск. гос. пед. ун-т. Москва, 2015
# ЛЕКСИКО-КВАНТИТАТИВНОЕ МОДЕЛИРОВАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ В ИДЕНТИФИКАЦИОННОМ АСПЕКТЕ (НА МАТЕРИАЛЕ РУССКОЯЗЫЧНЫХ ИНТЕРНЕТ-ДНЕВНИКОВ) Напреенко Г.В. диссертация на соискание ученой степени кандидата филологических наук / Кемеровский государственный университет. Кемерово, 2015
# КОММУНИКАТИВНОЕ ПОВЕДЕНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ ВИРТУАЛЬНОГО ВРАЧА В МЕДИЦИНСКОМ ИНТЕРНЕТ-ФОРУМЕ Гагарина Е.Ю. Диссертаци на соискание ученой степени кандидата филологических наук / Московский государственный областной университет. Астрахань, 2015
# ВЕРБАЛИЗАЦИЯ ЧУВСТВЕННОГО ВОСПРИЯТИЯ КАК ОТРАЖЕНИЕ ПЕРЦЕПТИВНОЙ КАРТИНЫ МИРА ДИАЛЕКТНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Земичева С.С. (автореферат Кузнецова С.С.) диссертация на соискание ученой степени кандидата филологических наук / Национальный исследовательский Томский государственный университет. Томск, 2015
# А.А. ТАРКОВСКИЙ КАК ЯЗЫКОВАЯ ЛИЧНОСТЬ (СПОСОБЫ РЕПРЕЗЕНТАЦИИ В ПОЭТИЧЕСКОМ ТЕКСТЕ) Романова М.С. автореферат дис. ... кандидата филологических наук / Дагестанский государственный педагогический университет. Махачкала, 2015
# ЯЗЫКОВАЯ ЛИЧНОСТЬ Ф.М. ДОСТОЕВСКОГО ЛЕКСИКОГРАФИЧЕСКОЕ ПРЕДСТАВЛЕНИЕ Ружицкий И.В. автореферат дис. ... доктора филологических наук / Ур. федер. ун-т имени первого Президента России Б.Н. Ельцина. Екатеринбург, 2015
# ЯЗЫКОВАЯ ЛИЧНОСТЬ АДВОКАТА В КОНТЕКСТЕ ЮРИДИЧЕСКОГО ДИСКУРСА (НА МАТЕРИАЛЕ РЕЧЕЙ С.А. АНДРЕЕВСКОГО И Н.П. КАРАБЧЕВСКОГО) Климович О.В. автореферат дис. ... кандидата филологических наук / Башкир. гос. ун-т. Уфа, 2016
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ПИСАТЕЛЯ ЯНЫБАЯ ХАММАТОВА (НА МАТЕРИАЛЕ ХУДОЖЕСТВЕННЫХ ТЕКСТОВ) Ишегулова А.М. Автореферат диссертации на соискание ученой степени кандидата филологических наук / Башкирский государственный университет. Уфа, 2016
# ЯЗЫКОВАЯ ЛИЧНОСТЬ НОСИТЕЛЯ ГОРОДСКОГО ПРОСТОРЕЧИЯ Соломина Е.В. Диссертация на соискание ученой степени кандидата филологических наук / Национальный исследовательский Томский государственный университет. Томск, 2016
# СРАВНИТЕЛЬНО-СОПОСТАВИТЕЛЬНОЕ ИЗУЧЕНИЕ ЛИНГВОКУЛЬТУРНОГО ТИПАЖА КАК АСПЕКТА ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ ЛИНГВОКУЛЬТУРНОГО ТИПАЖА "ДРУГ" В АНГЛО- И ИСПАНОЯЗЫЧНЫХ ХУДОЖЕСТВЕННЫХ ПРОИЗВЕДЕНИЯХ) Глушкова Н.М. автореферат дис. ... кандидата филологических наук / Тюменский государственный университет. Тюмень, 2016
# ФРАЗЕОЛОГИЗМЫ В ПОЭЗИИ В.С. ВЫСОЦКОГО КАК ФАКТОР ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ Митина А.А. автореферат дис. ... кандидата филологических наук / Тамб. гос. ун-т им. Г.Р. Державина. Тамбов, 2016
# РЕАЛИЗАЦИЯ СТРАТЕГИИ САМОИДЕНТИФИКАЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ В ДНЕВНИКОВОМ ДИСКУРСЕ Леонова Е.В. автореферат дис. ... кандидата филологических наук / Северо-Кавказский федеральный университет. Саратов, 2016
# ПСИХОЛИНГВИСТИЧЕСКИЙ И ЛИНГВОКОГНИТИВНЫЙ АНАЛИЗ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА ПРИМЕРЕ ПУБЛИЦИСТИЧЕСКОГО ДИСКУРСА В.П. АСТАФЬЕВА) Нестерова О.А. автореферат дис. ... кандидата филологических наук / Нижегор. гос. ун-т им. Н.И. Лобачевского. Нижний Новгород, 2016
# СТАТУСНЫЕ И СТРУКТУРНО-СЕМАНТИЧЕСКИЕ ХАРАКТЕРИСТИКИ ЯЗЫКОВОЙ ЛИЧНОСТИ КАК ЭТНОЛИНГВОТИПА В ЭПОХУ ГЛОБАЛИЗАЦИИ Пахаренко С.В. Диссертация на соискание ученой степени кандидата филологических наук / Северо-Кавказский федеральный университет. Ставрополь, 2017
# ПЕРЦЕПТИВНЫЕ КОНЦЕПТЫ И ЯЗЫКОВАЯ ЛИЧНОСТЬ В ХУДОЖЕСТВЕННОМ ДИСКУРСЕ (НА МАТЕРИАЛЕ ПРОИЗВЕДЕНИЙ Б. ПАСТЕРНАКА И М. ПРУСТА) Куган Е.И. автореферат дис. ... кандидата филологических наук / Белгородский государственный национальный исследовательский университет. Белгород, 2017
# ОСОБЕННОСТИ РЕПРЕЗЕНТАЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ В МУЛЬТИПЛИКАЦИОННОМ ПРОСТРАНСТВЕ (НА МАТЕРИАЛЕ МУЛЬТСЕРИАЛОВ "ВИНКС" И "БЕН 10: ИНОПЛАНЕТНАЯ СВЕРХСИЛА") Канукоева А.Л. автореферат дис. ... кандидата филологических наук / Кабард.-Балкар. гос. ун-т им. Х.М. Бербекова. Нальчик, 2017
# КОЛЛЕКТИВНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ АВТОРА ИНТЕРНЕТ-КОММЕНТАРИЯ НА САЙТЕ ГЛЯНЦЕВОГО ЖУРНАЛА (ГЕНДЕРНЫЙ АСПЕКТ) Кузьмина В.М. автореферат дис. ... кандидата филологических наук / С.-Петерб. гос. ун-т. Санкт-Петербург, 2017
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ЖИТЕЛЬНИЦЫ РУССКОГО СЕВЕРА: ОПЫТ ВЕРБАЛЬНО-СЕМАНТИЧЕСКОГО, ЛИНГВОКОГНИТИВНОГО И ПРАГМАТИЧЕСКОГО ОПИСАНИЯ. Зубова Н.Н. диссертация на соискание ученой степени кандидата филологических наук/ФГБОУ ВО «Вологодский государственный университет» 31.05.2017 10.02.01
# САМОИНДЕНТИФИКАЦИОННЫЙ ДИСКУРС РУССКОЙ ЭЛИТАРНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Лаппо М.А. автореферат диссертации на соискание ученой степени доктора филологических наук / Новосибирский государственный педагогический университет. Новосибирск, 2018
# ОСОБЕННОСТИ ОБЪЕКТИВАЦИИ КОГНИТИВНОГО СТИЛЯ ЯЗЫКОВОЙ ЛИЧНОСТИ В ИНСТИТУЦИОНАЛЬНОМ И ПЕРСОНАЛЬНОМ ТИПАХ ДИСКУРСА Пугоева А.О. диссертация на соискание ученой степени кандидата филологических наук / 22.02.2018
# РУССКОЯЗЫЧНЫЕ АСПЕКТЫ ПЕРЕВОДЧЕСКОЙ ДЕЯТЕЛЬНОСТИ К.И. ЧУКОВСКОГО КАК ЯЗЫКОВОЙ ЛИЧНОСТИ Агаджанян А.А. диссертация на соискание ученой степени кандидата филологических наук / 13.03.2018
# РЕЧЕВЫЕ СТРАТЕГИИ И ТАКТИКИ ЯЗЫКОВОЙ ЛИЧНОСТИ В СОЦИАЛЬНЫХ СЕТЯХ Шилова Е.С. диссертация на соискание ученой степени кандидата филологических наук / 17.05.2018
# ТРАНСФОРМАЦИЯ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТА-АРАБИСТА В АКАДЕМИЧЕСКОМ АРАБОЯЗЫЧНОМ ДИСКУРСЕ [[Дубинина]] Н.В. диссертация на соискание ученой степени кандидата филологических наук /21.09.2018 спец 10.02.19
# КОГНИТИВНО-ДИСКУРСИВНЫЕ ПАРАМЕТРЫ ЯЗЫКОВОЙ АГРЕССИИ В РЕЧИ ПУБЛИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Фирсова М.А. диссертация на соискание ученой степени кандидата филологических наук /11.10.2018
# ПРЕЦЕДЕНТНЫЕ ФЕНОМЕНЫ, МОТИВИРОВАННЫЕ ДЕТСКИМ ЧТЕНИЕМ, В СТРУКТУРЕ ЯЗЫКОВОЙ ЛИЧНОСТИ Носова Е.П. диссертация на соискание ученой степени кандидата филологических наук /01.11.2018
# МОДЕЛЬ ЯЗЫКОВОЙ ЛИЧНОСТИ ПРЕДСТАВИТЕЛЯ МОЛОДЁЖНЫХ СУБКУЛЬТУР Хуранова Л. личности диссертация на соискание ученой степени кандидата филологических наук А.21.11.2018
# ВРЕМЯ В КАРТИНЕ МИРА ДИАЛЕКТНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Иванова Л.А. диссертация на соискание ученой степени кандидата филологических наук / 05.12.2018
# ЯЗЫКОВАЯ ЛИЧНОСТЬ А.С. ПУШКИНА: ИНТЕРТЕКСТУАЛЬНОСТЬ И ПРЕЦЕДЕНТНОСТЬ В ДИСКУРСАХ РАЗНЫХ ТИПОВ Михеев А. А. диссертация на соискание ученой степени кандидата филологических наук /20.12.2018
# КОНЦЕПТУАЛИЗАЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТЬЮ ПРИРОДНЫХ ЯВЛЕНИЙ (НА МАТЕРИАЛЕ АНГЛИЙСКОГО, НЕМЕЦКОГО И РУССКОГО ГЕРОИЧЕСКОГО ЭПОСА) Воробьева О.Ю. диссертация на соискание ученой степени кандидата филологических наук /16.05.2018
# АКТУАЛИЗАЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ ПОЛИТИКА В СОВРЕМЕННОМ НЕМЕЦКОМ ПОЛИТИЧЕСКОМ ДИСКУРСЕ Цуциева М.Г. Диссертация на соискание ученой степени доктора филологических наук / Российский государственный педагогический университет им. А.И. Герцена. Санкт-Петербург, 2019
# «ПРОФЕССИОНАЛЬНЫЙ ЯЗЫК КАК СРЕДСТВО МОДЕЛИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ РУССКОГО И АНГЛИЙСКОГО ВАРИАНТОВ ПРОФЕССИОНАЛЬНОГО ЯЗЫКА ЛЕСНОГО ХОЗЯЙСТВА)» 02.07.2019 Гафиятова Эльзара Василовна @@color:red; докторская10.02.20 - Сравнительно-историческое, типологическое и сопоставительное языкознание @@
# РУССКАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ ПЕРВОЙ ПОЛОВИНЫ XVII ВЕКА В АСПЕКТАХ ТРАНСЛЯЦИИ, КОММУНИКАЦИИ И ИНТЕРПРЕТАЦИИ (НА МАТЕРИАЛЕ РАЗНОЖАНРОВЫХ ТЕКСТОВ ЭПОХИ) Загуменнов А.В. диссертация на соискание ученой степени кандидата филологических наук / 25.02.2019
# ЯЗЫКОВАЯ ЛИЧНОСТЬ РЕДЬЯРДА КИПЛИНГА: ЛИНГВОПРАГМАТИЧЕСКИЕ И СОЦИОКУЛЬТУРНЫЕ ХАРАКТЕРИСТИКИ Мануэльян А.Г. диссертация на соискание ученой степени кандидата филологических наук / 23.04.2019
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ТЕРРОРИСТА (ИССЛЕДОВАНИЕ НА МАТЕРИАЛЕ ВИДЕООБРАЩЕНИЙ ЧЛЕНОВ МЕЖДУНАРОДНОЙ ТЕРРОРИСТИЧЕСКОЙ ОРГАНИЗАЦИИ ИСЛАМСКОЕ ГОСУДАРСТВО, ЗАПРЕЩЕННОЙ НА ТЕРРИТОРИИ РОССИЙСКОЙ ФЕДЕРАЦИИ) Мона Е.А. диссертация на соискание ученой степени кандидата филологических наук / 20.12.2019
# ЭТНОСПЕЦИФИЧЕСКИЕ ВКРАПЛЕНИЯ КАК СРЕДСТВО РЕАЛИЗАЦИИ ПОЛИЛИНГВАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ ПУБЛИЦИСТИЧЕСКИХ ТЕКСТОВ РАМАЗАНА ТРАХО) Хачак Ф.Д. диссертация на соискание ученой степени кандидата филологическихх наук / Москва, 2003 19.04.2019
# ПЕРСОНОЛОГИЧЕСКИЕ ХАРАКТЕРИСТИКИ ЯЗЫКОВОЙ ЛИЧНОСТИ В.Г. КОРОЛЕНКО-ПУБЛИЦИСТА Махмуд Х. Т. М. диссертация на соискание ученой степени кандидата филологических наук / 18.06.2019
# РЕПРЕЗЕНТАЦИЯ ОСОБЕННОСТЕЙ ЯЗЫКОВОЙ ЛИЧНОСТИ ПЕРСОНАЖА-РЕБЕНКА В АВТОРСКОМ ХУДОЖЕСТВЕННОМ ТЕКСТЕ (НА МАТЕРИАЛЕ ПРОИЗВЕДЕНИЙ ЛЬЮИСА КЭРРОЛЛА) Бальян А.М. диссертация на соискание ученой степени кандидата филологических наук / Москва, 2003 22.10.2019
# ПАРЕМИЧЕСКАЯ КОНЦЕПТУАЛИЗАЦИЯ ЯЗЫКОВОЙ КАРТИНЫ МИРА АДЫГОВ В ХУДОЖЕСТВЕННЫХ ТЕКСТАХ БИЛИНГВАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Кумук С. Х. диссертация на соискание ученой степени кандидата филологических наук /14.11.2019
# ЛИНГВОКОГНИТИВНЫЕ ОСОБЕННОСТИ РЕАЛИЗАЦИИ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ ПИСАТЕЛЯ-БИЛИНГВА Патиева М.М диссертация на соискание ученой степени кандидата филологических наук / 14.11.2019
!!Доктора
# АКТУАЛИЗАЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ ПОЛИТИКА В СОВРЕМЕННОМ НЕМЕЦКОМ ПОЛИТИЧЕСКОМ ДИСКУРСЕ Цуциева М.Г. Диссертация на соискание ученой степени доктора филологических наук / Российский государственный педагогический университет им. А.И. Герцена. Санкт-Петербург, 2019
# АМБИВАЛЕНТНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ (ЛЕКСИКА, ГРАММАТИКА, ПРАГМАТИКА) Котова Н.С. диссертация на соискание ученой степени доктора филологических наук / Кубанский государственный университет. Ростов-на-Дону, 2008
# АМЕРИКАНСКАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ В КУЛЬТУРНО-ИСТОРИЧЕСКОМ ПРОСТРАНСТВЕ США XX ВЕКА (ОПЫТ ПРОТОТИПИЧЕСКОГО ПОДХОДА) Ма Т.Ю. диссертация на соискание ученой степени доктора филологических наук / Федеральное государственное образовательное учреждение высшего профессионального образования "Московский государственный университет". Москва, 2012
# АСИММЕТРИЯ СТРУКТУРЫ ЯЗЫКОВОЙ ЛИЧНОСТИ В РУССКОМ И АНГЛИЙСКОМ ВАРИАНТАХ МОРСКОГО ПРОФЕССИОНАЛЬНОГО ЯЗЫКА Солнышкина М.И. диссертация на соискание ученой степени доктора филологических наук / Казанский (Приволжский) федеральный университет. Казань, 2005
# ВЕРБАЛИЗАЦИЯ МЕНТАЛЬНОГО ПРОСТРАНСТВА ЯЗЫКОВОЙ ЛИЧНОСТИ АВТОРА В ХУДОЖЕСТВЕННОМ ТЕКСТЕ (НА МАТЕРИАЛЕ ТВОРЧЕСТВА АСКЕРА ЕВТЫХА) Ахиджакова М.П. диссертация на соискание ученой степени доктора филологических наук / Кубанский государственный университет. Краснодар, 2007
# ВИКТОР ШКЛОВСКИЙ ТЕКСТ-МИФ-РЕАЛЬНОСТЬ (К ПРОБЛЕМЕ ЛИТЕРАТУРНОЙ И ЯЗЫКОВОЙ ЛИЧНОСТИ) Панченко О.Н. автореферат дис. ... доктора филологических наук / Рос. ун-т дружбы народов. Москва, 1998
# ЗНАКИ АВТОРСТВА КАК СРЕДСТВА ВЕРБАЛЬНОЙ МАНИФЕСТАЦИИ СМЫСЛОВОЙ СФЕРЫ ТВОРЧЕСКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИЧетверикова О.В. диссертация ... доктора филологических наук : 10.02.19 / Тверской государственный университет. Тверь, 2013
# ИДИОСТИЛЬ ИНФОРМАЦИОННО-МЕДИЙНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ: КОММУНИКАТИВНО-КОГНИТИВНЫЕ АСПЕКТЫ ИССЛЕДОВАНИЯ Болотнов А.В. Диссертация на соискание ученой степени доктора филологических наук / Томский государственный педагогический университет. Томск, 2015
# НАЦИОНАЛЬНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ В СРАВНИТЕЛЬНО-СОПОСТАВИТЕЛЬНОМ ЛИНГВОКУЛЬТУРОЛОГИЧЕСКОМ ОПИСАНИИ (НА МАТЕРИАЛЕ РУССКОЙ И ВЬЕТНАМСКОЙ КУЛЬТУР) Ле Дык Тху диссертация на соискание ученой степени доктора филологических наук / Москва, 2003
# НОРМАТИВНО-НАУЧНАЯ КАРТИНА МИРА РУССКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ В КОМПЛЕКСНОМ ЛИНГВИСТИЧЕСКОМ РАССМОТРЕНИИ Максимчук Н.А. диссертация на соискание ученой степени доктора филологических наук / Москва, 2002
# ПСИХОЛИНГВИСТИЧЕСКАЯ КОНЦЕПЦИЯ ГЕНДЕРНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Фомин А.Г. диссертация на соискание ученой степени доктора филологических наук / Алтайский государственный университет. Барнаул, 2004
# РАЗВИТИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ И ЕЕ КОММУНИКАТИВНОГО СОЗНАНИЯ (НА МАТЕРИАЛЕ РЕЧЕВОГО ПОВЕДЕНИЯ МЛАДШЕГО ШКОЛЬНИКА) Лемяскина Н.А. диссертация на соискание ученой степени доктора филологических наук / Воронеж, 2004
# РЕПРЕЗЕНТАТИВНАЯ СУЩНОСТЬ ЯЗЫКОВОЙ ЛИЧНОСТИ В КОММУНИКАТИВНОМ АСПЕКТЕ РЕАЛИЗАЦИЙ Зеленская В.В. диссертация на соискание ученой степени доктора филологических наук / Краснодар, 2000
# РУССКАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ (КОДЫ ОБРАЗНОЙ ВЕРБАЛИЗАЦИИ ТЕЗАУРУСА) Шестак Л.А. диссертация на соискание ученой степени доктора филологических наук / Волгоградский государственный социально-педагогический университет. Волгоград, 2003
# РУССКАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ В ПОЛИКУЛЬТУРНОМ ПРОСТРАНСТВЕ БЛИЖНЕГО ЗАРУБЕЖЬЯ Млечко Т.П. автореферат дис. ... доктора филологических наук / Рос. ун-т дружбы народов. Москва, 2014
# РУССКАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ ПРОФЕССИОНАЛЬНОГО ПЕРЕВОДЧИКА Бушев А.Б. диссертация на соискание ученой степени доктора филологических наук / Государственный институт русского языка. Москва, 2010
# САМОИНДЕНТИФИКАЦИОННЫЙ ДИСКУРС РУССКОЙ ЭЛИТАРНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Лаппо М.А. автореферат диссертации на соискание ученой степени доктора филологических наук / Новосибирский государственный педагогический университет. Новосибирск, 2018
# СИНТАКСИЧЕСКАЯ ХАРАКТЕРИСТИКА ЯЗЫКОВОЙ ЛИЧНОСТИ Шаталова О.В. диссертация на соискание ученой степени доктора филологических наук / Елецкий государственный университет им. И.А. Бунина. Елец, 2012
# СЛОВОТВОРЧЕСТВО КАК ФЕНОМЕН ЯЗЫКОВОЙ ЛИЧНОСТИ (ПОРОЖДЕНИЕ, ФУНКЦИОНИРОВАНИЕ, УЗУАЛИЗАЦИЯ НОВОГО СЛОВА) Плотникова Л.И. диссертация на соискание ученой степени доктора филологических наук / Белгород, 2004
# СТАНОВЛЕНИЕ СТРУКТУРЫ УСТНОГО ДИСКУРСА КАК ВЫРАЖЕНИЕ ЭВОЛЮЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ Седов К.Ф. диссертация на соискание ученой степени доктора филологических наук / Саратов, 1999
# ТРАНСФОРМАЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ В ЭТНОЛИНГВИСТИЧЕСКОМ ПРОСТРАНСТВЕ РОССИЙСКО-КАЗАХСТАНСКОГО ПРИГРАНИЧЬЯ (НА ПРИМЕРЕ ТАТАРСКОГО И КАЗАХСКОГО ЯЗЫКОВ) Койше К.К. автореферат дис. ... доктора филологических наук / Башкир. гос. ун-т. Уфа, 2014
# ФЕНОМЕН ДИАЛЕКТНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Иванцова Е.В. диссертация на соискание ученой степени доктора филологических наук / Национальный исследовательский Томский государственный университет. Томск, 2002
# ЭТНОКУЛЬТУРНЫЕ ХАРАКТЕРИСТИКИ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ ФРАНЦУЗСКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ) Седых А.П. диссертация на соискание ученой степени доктора филологических наук / Белгород, 2005
# ЯЗЫКОВАЯ ЛИЧНОСТЬ (ИДИОЛЕКТ И ДИАЛЕКТ) Лютикова В.Д. диссертация на соискание ученой степени доктора филологических наук / Екатеринбург, 2000
# ЯЗЫКОВАЯ ЛИЧНОСТЬ (ЛИНГВОКУЛЬТУРОЛОГИЧЕСКИЙ АСПЕКТ) Тхорик В.И. диссертация на соискание ученой степени доктора филологических наук / Краснодар, 2000
# ЯЗЫКОВАЯ ЛИЧНОСТЬ В ВИРТУАЛЬНОМ ДИСКУРСЕ Лутовинова О.В. автореферат дис. ... доктора филологических наук / Волгогр. гос. соц.-пед. ун-т. Волгоград, 2013
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ГОСУДАРСТВЕННОГО СЛУЖАЩЕГО: ДИСКУРСИВНАЯ ПРАКТИКА, ТИПОЛОГИЯ, МЕХАНИЗМЫ ФОРМИРОВАНИЯ Панова М.Н. диссертация на соискание ученой степени доктора филологических наук / Москва, 2004
# ЯЗЫКОВАЯ ЛИЧНОСТЬ М. И. ЦВЕТАЕВОЙ КАК ОБЪЕКТ ЛЕКСИКОГРАФИИ Шевченко Н.М. Диссертация на соискание ученой степени доктора филологических наук: по специальности 10.02.01 – русский язык / Российский университет дружбы народов. Москва, 2014
# ЯЗЫКОВАЯ ЛИЧНОСТЬ СУДЕБНОГО ОРАТОРА АНАТОЛИЯ ФЕДОРОВИЧА КОНИ Баишева З.В. диссертация на соискание ученой степени доктора филологических наук / Башкирский государственный университет. Уфа, 2007
# ЯЗЫКОВАЯ ЛИЧНОСТЬ Ф.М. ДОСТОЕВСКОГО ЛЕКСИКОГРАФИЧЕСКОЕ ПРЕДСТАВЛЕНИЕ Ружицкий И.В. автореферат дис. ... доктора филологических наук / Ур. федер. ун-т имени первого Президента России Б.Н. Ельцина. Екатеринбург, 2015
# ЯЗЫКОВАЯ ЛИЧНОСТЬ НОСИТЕЛЯ ЭЛИТАРНОЙ РЕЧЕВОЙ КУЛЬТУРЫ Кочеткова Т.В. Автореферат диссертации на соиск. учен. степ. д-ра филол. Наук / Волгоградский государственный педагогический университет. Волгоград, 1999
# «ПРОФЕССИОНАЛЬНЫЙ ЯЗЫК КАК СРЕДСТВО МОДЕЛИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ РУССКОГО И АНГЛИЙСКОГО ВАРИАНТОВ ПРОФЕССИОНАЛЬНОГО ЯЗЫКА ЛЕСНОГО ХОЗЯЙСТВА)» 02.07.2019 Гафиятова Эльзара Василовна @@color:red; докторская10.02.20 - Сравнительно-историческое, типологическое и сопоставительное языкознание @@
# "ПОХВАЛА", "ЛЕСТЬ" И "КОМПЛИМЕНТ" В СТРУКТУРЕ АНГЛИЙСКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Леонтьев В.В. диссертация на соискание ученой степени кандидата филологических наук / Волгоград, 1999
# А.А. ТАРКОВСКИЙ КАК ЯЗЫКОВАЯ ЛИЧНОСТЬ (СПОСОБЫ РЕПРЕЗЕНТАЦИИ В ПОЭТИЧЕСКОМ ТЕКСТЕ) Романова М.С. автореферат дис. ... кандидата филологических наук / Дагестанский государственный педагогический университет. Махачкала, 2015
# АКСИОЛОГИЧЕСКАЯ МОДЕЛЬ ЯЗЫКОВОЙ ЛИЧНОСТИ В ДРУЖЕСКОМ ЭПИСТОЛЯРНОМ ДИСКУРСЕ (НА МАТЕРИАЛЕ ПИСЕМ ШВЕЙЦАРСКОГО ПИСАТЕЛЯ XX ВЕКА МАКСА ФРИША) Фокина К.В. диссертация на соискание ученой степени кандидата филологических наук / Саратовский государственный университет им. Н.Г. Чернышевского. Саратов, 2010
# АРГУМЕНТАТИВНЫЕ СТРАТЕГИИ БРИТАНСКОГО ПОЛИТИКА (НА ПРИМЕРЕ ЯЗЫКОВОЙ ЛИЧНОСТИ ПРЕМЬЕР-МИНИСТРА Т. БЛЭРА) Петрухина О.П. диссертация на соискание ученой степени кандидата филологических наук / Иркутский государственный лингвистический университет. Абакан, 2009
# АРГУМЕНТАТИВНЫЕ СТРАТЕГИИ ЯЗЫКОВОЙ ЛИЧНОСТИ СЕВЕРОАМЕРИКАНСКОГО ПОЛИТИКА (НА МАТЕРИАЛЕ ДИСКУРСА Г. КИССИНДЖЕРА) Мордовин А.Ю. диссертация на соискание ученой степени кандидата филологических наук / Иркутск, 2004
# АСПЕКТЫ ЯЗЫКОВОЙ ИГРЫ: АНОМАЛЬНОСТЬ И ПАРАДОКСАЛЬНОСТЬ ЯЗЫКОВОЙ ЛИЧНОСТИ С. ДОВЛАТОВА Букирева Т.А. диссертация на соискание ученой степени кандидата филологических наук / Краснодар, 2000
# В.В. ВИНОГРАДОВ КАК ПРОФЕССИОНАЛЬНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ УЧЕНОГО-ФИЛОЛОГА: ЛИНГВОРИТОРИЧЕСКИЙ АСПЕКТ : Кузнецова Л.Н. на материале текстов о языке и стиле русских писателей : диссертация ... кандидата филологических наук : 10.02.19 / Адыгейский государственный университет. Сочи, 2013
# ВЕРБАЛИЗАТОРЫ КОНЦЕПТОВ "ВРЕМЯ" И "МЯТЕЖ" В СЛЕДСТВЕННОМ ДЕЛЕ ЕМЕЛЬЯНА ПУГАЧЕВА КАК МАТЕРИАЛ ДЛЯ ВОССОЗДАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ ПОСЛЕДНЕЙ ТРЕТИ XVIII ВЕКА Меркулова Н.В. диссертация на соискание ученой степени кандидата филологических наук / Магнитогорск, 2006
# ВЕРБАЛИЗАЦИЯ ЧУВСТВЕННОГО ВОСПРИЯТИЯ КАК ОТРАЖЕНИЕ ПЕРЦЕПТИВНОЙ КАРТИНЫ МИРА ДИАЛЕКТНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Земичева С.С. (автореферат Кузнецова С.С.) диссертация на соискание ученой степени кандидата филологических наук / Национальный исследовательский Томский государственный университет. Томск, 2015
# ВЕРБАЛЬНОЕ ПОВЕДЕНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ СТАРШЕКЛАССНИКА В ЖАНРЕ СОЧИНЕНИЯ ФОРМАТА ЕГЭ Ситдикова М.Г. диссертация ... кандидата филологических наук : 10.02.01 / Башкирский государственный университет. Уфа, 2014
# ВЗАИМОДЕЙСТВИЕ ЯЗЫКОВЫХ ЛИЧНОСТЕЙ ПРИ ПОЭТИЧЕСКОМ ПЕРЕВОДЕ (НА МАТЕРИАЛЕ АНГЛИЙСКОГО И РУССКОГО ЯЗЫКОВ) Салахитдинова Э.Д. автореферат дис. ... кандидата филологических наук / Киргизско-Российский славянский университет. Бишкек, 2008
# ВОЗМУЩАЮЩАЯСЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ КОММУНИКАТИВНО-ПРАГМАТИЧЕСКИЙ ПОДХОД (НА МАТЕРИАЛЕ АНГЛИЙСКОГО И ФРАНЦУЗСКОГО ЯЗЫКОВ) Якищенко Е.А. автореферат дис. ... кандидата филологических наук / Кемер. гос. ун-т. Кемерово, 2014
# ВТОРИЧНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ В ОНТОГЕНЕЗЕ: УРОВНИ ЛИНГВОКУЛЬТУРОЛОГИЧЕСКОГО ОПИСАНИЯ (НА МАТЕРИАЛЕ НАЧАЛЬНОГО ЭТАПА ОБУЧЕНИЯ АНГЛИЙСКОМУ ЯЗЫКУ РУССКОЯЗЫЧНЫХ УЧАЩИХСЯ) Мамонтова Н.А. диссертация на соискание ученой степени кандидата филологических наук / Военный университет. Москва, 2010
# ГЕНДЕРНЫЕ ОСОБЕННОСТИ ФУНКЦИОНИРОВАНИЯ НЕВЕРБАЛЬНЫХ КОМПОНЕНТОВ В КОММУНИКАТИВНОМ ПОВЕДЕНИИ ЯЗЫКОВОЙ ЛИЧНОСТИ: МЕЖКУЛЬТУРНЫЙ АСПЕКТ Дутова Н.В. диссертация на соискание ученой степени кандидата филологических наук / Бурятский государственный университет. Улан-Удэ, 2014
# ГЕНДЕРНЫЙ ДИСКУРС-АНАЛИЗ РЕЧЕВЫХ СТРАТЕГИЙ ЖЕНСКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ РУССКОЙ И АНГЛИЙСКОЙ ДИАЛОГИЧЕСКОЙ РЕЧИ) Прокудина О.Н. диссертация на соискание ученой степени кандидата филологических наук / Кемерово, 2002
# ГЕРОЙ РАССКАЗОВ В. ШУКШИНА КАК НАЦИОНАЛЬНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ Лю Лицзюнь диссертация на соискание ученой степени кандидата филологических наук / Санкт-Петербургский государственный университет. Санкт-Петербург, 2009
# ГЛАГОЛ КАК СРЕДСТВО РЕПРЕЗЕНТАЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ ПЕРСОНАЖА (НА МАТЕРИАЛЕ РОМАНА Ф.М. ДОСТОЕВСКОГО "ПРЕСТУПЛЕНИЕ И НАКАЗАНИЕ") Никандрова И.А. диссертация на соискание ученой степени кандидата филологических наук / Московский государственный гуманитарный университет им. М.А. Шолохова. Коломна, 2010
# ДЕТСКИЙ ДИСКУРС КАК ФЕНОМЕН ФОРМИРУЮЩЕЙСЯ ЯЗЫКОВОЙ ЛИЧНОСТИ Данюшина Л.А. автореферат дис. ... кандидата филологических наук / Юж. федер. ун-т. Ростов-на-Дону, 2014
# ДИАЛЕКТНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ НА АЛТАЕ Прокофьева Е.В. диссертация на соискание ученой степени кандидата филологических наук / Алтайский государственный университет. Барнаул, 2012
# ДИАЛОГ КУЛЬТУР В СТРУКТУРЕ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ ПОЭЗИИ Б. ГРЕБЕНЩИКОВА) Колчина О.Н. диссертация на соискание ученой степени кандидата филологических наук / Нижний Новгород, 2004
# ДИНАМИЧЕСКИЕ ПРОЦЕССЫ В ЛЕКСИКОНЕ ЯЗЫКОВОЙ ЛИЧНОСТИ Гончарова Е.А. диссертация на соискание ученой степени кандидата филологических наук / Новосибирский государственный педагогический университет. Новосибирск, 2009
# ДИНАМИЧЕСКОЕ МОДЕЛИРОВАНИЕ РУССКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Оленёв С.В. диссертация на соискание ученой степени кандидата филологических наук / Кемеровский государственный университет. Кемерово, 2006
# ДИСКУРС СОВРЕМЕННОЙ ПРЕССЫ КАК СМЫСЛОВОЕ ПОЛЕ ФОРМИРОВАНИЯ ЦЕННОСТНЫХ ОРИЕНТИРОВ КОЛЛЕКТИВНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (МИКРОКОНЦЕПТОСФЕРА "БОГАТСТВО") Зубарев С.В. диссертация на соискание ученой степени кандидата филологических наук / Кабардино-Балкарский государственный университет им. Х.М. Бербекова. Сочи, 2009
# ДИСКУРСНОЕ ОПИСАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ КАТУЛЛА Пшенина Т.Е. автореферат дис. ... кандидата филологических наук / Алматы, 2000
# ИЗОБРАЖЕНИЕ ФРУСТРИРУЮЩЕЙ ЯЗЫКОВОЙ ЛИЧНОСТИ В РУССКИХ ХУДОЖЕСТВЕННЫХ И ЭПИСТОЛЯРНЫХ ТЕКСТАХ Колышкина И.М. диссертация на соискание ученой степени кандидата филологических наук / Тамбовский государственный университет им. Г.Р. Державина. Липецк, 2012
# ИЗОМОРФИЗМ И АЛЛОМОРФИЗМ ВЕРБАЛЬНО-СЕМАНТИЧЕСКОГО УРОВНЯ ЯЗЫКОВОЙ ЛИЧНОСТИ РУССКОЯЗЫЧНОГО И НЕМЕЦКОЯЗЫЧНОГО ЧАТ-КОММУНИКАНТА (НА МАТЕРИАЛЕ ЧАТОВ ОБЩЕЙ ТЕМАТИКИ) Амурская О.Ю. диссертация на соискание ученой степени кандидата филологических наук / Татарский государственный гуманитарно-педагогический университет. Казань, 2008
# ИНСТИТУЦИОНАЛЬНЫЙ ЛИЧНОСТНО-ОРИЕНТИРОВАННЫЙ КОНЦЕПТ ДЕСТРУКТИВНАЯ ЛИЧНОСТЬ И ЕГО ЯЗЫКОВАЯ РЕПРЕЗЕНТАЦИЯ В ХУДОЖЕСТВЕННОМ ТЕКСТЕ Борисов П.М. диссертация на соискание ученой степени кандидата филологических наук / Московский государственный областной университет. Москва, 2011
# ИНТЕРТЕКСТУАЛЬНЫЙ ТЕЗАУРУС СОВРЕМЕННОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ ПИСЬМЕННЫХ ТЕКСТОВ СМИ, КВН И ИНТЕЛЛЕКТУАЛЬНЫХ ИГР) Соломина Н.В. диссертация на соискание ученой степени кандидата филологических наук / Уральский государственный педагогический университет. Омск, 2008
# ИССЛЕДОВАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ СОСТАВИТЕЛЯ "ПОВЕСТИ ВРЕМЕННЫХ ЛЕТ" Аникин Д.В. диссертация на соискание ученой степени кандидата филологических наук / Барнаул, 2004
# КОГНИТИВНО-ДИСКУРСИВНЫЙ ПОДХОД К ИЗУЧЕНИЮ ИДЕНТИЧНОСТИ ЯЗЫКОВОЙ ЛИЧНОСТИ В ДНЕВНИКОВЫХ ТЕКСТАХ Леонова Е.В. Диссертация на соискание ученой степени кандидата филологических наук / Национальный исследовательский Саратовский государственный университет им. Н.Г. Чернышевского. Саратов, 2015 ???? не прошла
# КОЛЛЕКТИВНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ АВТОРА ИНТЕРНЕТ-КОММЕНТАРИЯ НА САЙТЕ ГЛЯНЦЕВОГО ЖУРНАЛА (ГЕНДЕРНЫЙ АСПЕКТ) Кузьмина В.М. автореферат дис. ... кандидата филологических наук / С.-Петерб. гос. ун-т. Санкт-Петербург, 2017
# КОММУНИКАТИВНАЯ МОДЕЛЬ РАЗВИТИЯ ПРОБЛЕМЫ КАК ОТРАЖЕНИЕ МЫСЛИТЕЛЬНОГО СТИЛЯ ЯЗЫКОВОЙ ЛИЧНОСТИ ЧЕРЕЗ ПРИЗМУ ОТВЕТНОГО ПРОСТРАНСТВА ИНТЕРВЬЮ Скворцова В.А. диссертация на соискание ученой степени кандидата филологических наук / Адыгейский государственный университет. Краснодар, 2012
# КОММУНИКАТИВНОЕ ПОВЕДЕНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ ВИРТУАЛЬНОГО ВРАЧА В МЕДИЦИНСКОМ ИНТЕРНЕТ-ФОРУМЕ Гагарина Е.Ю. Диссертаци на соискание ученой степени кандидата филологических наук / Московский государственный областной университет. Астрахань, 2015
# КОММУНИКАТИВНЫЕ НЕУДАЧИ В ДИАЛОГИЧЕСКОМ ОБЩЕНИИ В СООТНЕСЕННОСТИ С КОММУНИКАТИВНЫМИ ЗАКОНАМИ И ТИПАМИ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ НЕМЕЦКОГО ЯЗЫКА) Шпомер Е.А. диссертация на соискание ученой степени кандидата филологических наук / Барнаульский государственный педагогический университет. Абакан, 2011
# КОМПОНЕНТЫ КОНЦЕПТОСФЕРЫ ЯЗЫКОВОЙ ЛИЧНОСТИ СМЕРДЯКОВА И ОСОБЕННОСТИ ЕЁ ДИСКУРСИВНОЙ РЕАЛИЗАЦИИ В РОМАНЕ Ф.М. ДОСТОЕВСКОГО "БРАТЬЯ КАРАМАЗОВЫ" Луговская Е.Г. диссертация на соискание ученой степени кандидата филологических наук / Российский университет дружбы народов (РУДН). Тирасполь, 2009
# КОНЦЕПТ ЯЗЫКОВОЙ ЛИЧНОСТИ В АНГЛИЙСКОМ ЯЗЫКЕ В СОПОСТАВЛЕНИИ С РУССКИМ ЯЗЫКОМ (НА ПРИМЕРЕ АНАЛИЗА ВАРИАНТОВ ПЕРЕВОДОВ ПЬЕСЫ Б. ШОУ "ПИГМАЛИОН") Ишкова Т.Н. диссертация на соискание ученой степени кандидата филологических наук / Омск, 2002
# КОНЦЕПТУАЛИЗАЦИЯ ОЙКОНИМОВ В СОЗНАНИИ РЕГИОНАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Ганова С.В. диссертация на соискание ученой степени кандидата филологических наук / Кемеровский государственный университет. Бийск, 2013
# КОНЦЕПТУАЛЬНАЯ РЕПРЕЗЕНТАЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТА СРЕДНЕГО ПРОФЕССИОНАЛЬНОГО ОБРАЗОВАНИЯ (КОГНИТИВНЫЙ И ПРАГМАТИЧЕСКИЙ УРОВНИ) Демидова Т.В. диссертация на соискание ученой степени кандидата филологических наук / Адыгейский государственный университет. Майкоп, 2011
# КУЛЬТУРА УКРАИНСКОГО ЯЗЫКА И ЯЗЫКОВАЯ ЛИЧНОСТЬ УЧИТЕЛЯ Струганец Л.В. автореферат дис. ... кандидата филологических наук / Киев, 1996
# ЛАКУНЫ В СТРУКТУРЕ ЯЗЫКОВОЙ ЛИЧНОСТИ И ИХ ЗАПОЛНЕНИЕ В МЕЖКУЛЬТУРНОЙ КОММУНИКАЦИИ (НА ПРИМЕРЕ АНГЛИЙСКОГО И РУССКОГО ЯЗЫКОВ) Эйнуллаева Е.А. диссертация на соискание ученой степени кандидата филологических наук / Московский государственный лингвистический университет. Москва, 2003
# ЛЕКСИКА НАУКИ И ИСКУССТВА В СТРУКТУРЕ ЯЗЫКОВОЙ ЛИЧНОСТИ А.А. ВОЗНЕСЕНСКОГО Федотова О.В. диссертация на соискание ученой степени кандидата филологических наук / Тюменский государственный университет. Тюмень, 2007
# ЛЕКСИКО-КВАНТИТАТИВНОЕ МОДЕЛИРОВАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ В ИДЕНТИФИКАЦИОННОМ АСПЕКТЕ (НА МАТЕРИАЛЕ РУССКОЯЗЫЧНЫХ ИНТЕРНЕТ-ДНЕВНИКОВ) Напреенко Г.В. диссертация на соискание ученой степени кандидата филологических наук / Кемеровский государственный университет. Кемерово, 2015
# ЛЕКСИЧЕСКАЯ СТРУКТУРА ТЕКСТА И ПРОБЛЕМА ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ РОМАНА Ф.М. ДОСТОЕВСКОГО "ИДИОТ") Деревскова Е.Н. Диссертация на соискание ученой степени кандидата филологических наук / Российский государственный педагогический университет им. А. И. Герцена. Санкт-Петербург, 1998
# ЛЕКСИЧЕСКИЕ ЕДИНИЦЫ СО ВТОРИЧНО-НОМИНАТИВНЫМ ЗНАЧЕНИЕМ В АССОЦИАТИВНОМ ПОЛЕ РУССКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Доменко Н.В. диссертация на соискание ученой степени кандидата филологических наук / Москва, 2005
# ЛЕКСИЧЕСКИЕ ЗАИМСТВОВАНИЯ В ПЕТРОВСКУЮ ЭПОХУ И ЯЗЫКОВАЯ ЛИЧНОСТЬ (НА МАТЕРИАЛЕ ИСТОРИКО-БИОГРАФИЧЕСКОЙ ПРОЗЫ КНЯЗЯ Б.И. КУРАКИНА) Ясинская М.Б. диссертация на соискание ученой степени кандидата филологических наук / Москва, 2004
# ЛИНГВО-РИТОРИЧЕСКОЕ ОПИСАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ НА ПРИМЕРЕ ПУБЛИЧНЫХ ВЫСТУПЛЕНИЙ ПЕТЕНА И ДЕ ГОЛЛЯ ВО ВРЕМЯ ВТОРОЙ МИРОВОЙ ВОЙНЫ Дарьина Е.В. диссертация на соискание ученой степени кандидата филологических наук / Московский государственный университет им. М.В. Ломоносова (МГУ). Москва, 2008
# ЛИНГВОКОГНИТИВНАЯ ПРИРОДА КОНЦЕПТА "ИСКУССТВО" ЯЗЫКОВОЙ ЛИЧНОСТИ АВТОРА (НА МАТЕРИАЛЕ ХУДОЖЕСТВЕННЫХ ТЕКСТОВ ДЖ. ФАУЛЗА "КОЛЛЕКЦИОНЕР", "ВОЛХВ", "ЛЮБОВНИЦА ФРАНЦУЗСКОГО ЛЕЙТЕНАНТА") Малова Н.Е. диссертация на соискание ученой степени кандидата филологических наук / Адыгейский государственный университет. Майкоп, 2012
# ЛИНГВОКОГНИТИВНЫЕ СПОСОБЫ ЭКСПЛИКАЦИИ МЕНТАЛЬНОСТИ ЯЗЫКОВОЙ ЛИЧНОСТИ ДЖОНА ГОЛСУОРСИ (НА МАТЕРИАЛЕ РОМАНА "САГА О ФОРСАЙТАХ") Хакуй М.А. диссертация на соискание ученой степени кандидата филологических наук / Адыгейский государственный университет. Майкоп, 2011
# ЛИНГВОКОГНИТИВНЫЙ И ПРАГМАТИЧЕСКИЙ УРОВНИ ЯЗЫКОВОЙ ЛИЧНОСТИ А.П. СТЕПАНОВА Бурмакина Н.А. диссертация на соискание ученой степени кандидата филологических наук / Тюменский государственный университет. Красноярск, 2007
# ЛИНГВОКРЕАТИВНАЯ СПОСОБНОСТЬ ЯЗЫКОВОЙ ПОЭТИЧЕСКОЙ ЛИЧНОСТИ: ПРОЦЕССЫ НЕОЛОГИЗАЦИИ В РУССКОЙ ПОЭЗИИ XX ВЕКА (НА МАТЕРИАЛЕ ТВОРЧЕСТВА В.В. ХЛЕБНИКОВА, А.Е. КРУЧЕНЫХ, А.А. ВОЗНЕСЕНСКОГО И Г.В. САПГИРА) Морозов Д.О. диссертация на соискание ученой степени кандидата филологических наук / Уральский государственный университет им. А.М. Горького. Екатеринбург, 2009
# ЛИНГВОКУЛЬТУРОЛОГИЧЕСКОЕ ИССЛЕДОВАНИЕ НАЦИОНАЛЬНОЙ (РУССКОЙ) ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ АФОРИСТИКИ) Василюк И.П. диссертация на соискание ученой степени кандидата филологических наук / Москва, 2004
# ЛИНГВОПРАГМАТИЧЕСКИЕ И КОГНИТИВНЫЕ АСПЕКТЫ РЕПРЕЗЕНТАЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ В ХУДОЖЕСТВЕННОМ ОПИСАНИИ ПРИРОДЫ Куршакова Т.Д. диссертация на соискание ученой степени кандидата филологических наук / Кубанский государственный университет. Краснодар, 2011
# ЛИНГВОПРАГМАТИЧЕСКИЕ ОСОБЕННОСТИ ПЕРЕВОПЛОЩЕННОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Косинова Е.В. на материале немецкого языка : диссертация ... кандидата филологических наук : 10.02.19 / Кемеровский государственный университет. Новокузнецк, 2013
# ЛИНГВОРИТОРИЧЕСКИЕ ПАРАМЕТРЫ ИДИОСТИЛЯ КАК ВЫРАЖЕНИЕ МЕНТАЛИТЕТА ЯЗЫКОВОЙ ЛИЧНОСТИ УЧЕНОГО (А.Ф. ЛОСЕВ) Дружинина В.В. диссертация на соискание ученой степени кандидата филологических наук / Сочинский государственный университет. Сочи, 2004
# ЛИНГВОСОЦИОНИЧЕСКАЯ МЕТОДОЛОГИЯ ИЗУЧЕНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ В РУССКОМ ЯЗЫКЕ (НА МАТЕРИАЛЕ ПРОИЗВЕДЕНИЙ М. ЦВЕТАЕВОЙ, О. МАНДЕЛЬШТАМА, А. АХМАТОВОЙ, Н. ГУМИЛЕВА, Б. ПАСТЕРНАКА) Комиссарова Л.М. диссертация на соискание ученой степени кандидата филологических наук / Барнаул, 2002
# ЛИНГВОСОЦИОНИЧЕСКОЕ МОДЕЛИРОВАНИЕ РУССКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ ИНТЕРНЕТ-БЛОГА) Замилова А.В. Диссертация на соискание ученой степени кандидата филологических наук / Кемеровский государственный университет. Кемерово, 2013
# МЕТАФОРИЧЕСКАЯ И МЕТАТЕКСТОВАЯ КОНСТАНТЫ ЯЗЫКОВОЙ ЛИЧНОСТИ АКАДЕМИКА В. В. ВИНОГРАДОВА Федорченко И.А. диссертация на соискание ученой степени кандидата филологических наук / Новосибирск, 2002
# МОДЕЛЬ КОНФЛИКТНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ УЧАСТНИКА МАССМЕДИЙНОГО ДИСКУРСА (НА МАТЕРИАЛЕ РАДИО, ТЕЛЕВИДЕНИЯ И ИНТЕРНЕТА) Шаповалова Н.Г. диссертация на соискание ученой степени кандидата филологических наук / Саратовский государственный университет им. Н.Г. Чернышевского. Саратов, 2008
# МОЛОДЕЖНЫЙ ДИСКУРС КАК РЕАЛИЗАЦИЯ ТИПОВОЙ И ИНДИВИДУАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Чабаненко М.Г. диссертация на соискание ученой степени кандидата филологических наук / Кемеровский государственный университет. Кемерово, 2007
# МОЛЧАНИЕ И СРАВНЕНИЕ КАК ЭЛЕМЕНТЫ ИДИОСТИЛЯ ЯЗЫКОВОЙ ЛИЧНОСТИ А.П. НЕРКАГИ (НА МАТЕРИАЛЕ ПОВЕСТЕЙ "АНИКО ИЗ РОДА НОГО", "ИЛИР", "БЕЛЫЙ ЯГЕЛЬ", "МОЛЧАЩИЙ") Третьякова Н.Ю. диссертация на соискание ученой степени кандидата филологических наук / Тюменский государственный университет. Тюмень, 2010
# НАИВНОЕ ЛИТЕРАТУРОВЕДЕНИЕ В ЛЕКСИКОНЕ ЯЗЫКОВОЙ ЛИЧНОСТИ Швец А.В. диссертация на соискание ученой степени кандидата филологических наук / Санкт-Петербург, 2005
# НАРКОЗАВИСИМЫЙ КАК ТИП ЯЗЫКОВОЙ ЛИЧНОСТИ Меркулова А.С. диссертация на соискание ученой степени кандидата филологических наук / Тамбов, 2006
# НАЦИОНАЛЬНО-ОБУСЛОВЛЕННАЯ ЛЕКСИКА КАК КУЛЬТУРООБРАЗУЮЩИЙ ФАКТОР ФОРМИРОВАНИЯ МЕКСИКАНСКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Гусева И.В. диссертация ... кандидата филологических наук : 10.02.05 / Московский государственный институт Международных отношений. Москва, 2013
# НЕНОРМАТИВНАЯ ЛЕКСИКА В РЕЧИ СОВРЕМЕННОГО ГОРОДСКОГО ПОДРОСТКА (В СВЕТЕ КОНЦЕПЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ) Гуц Е.Н. диссертация на соискание ученой степени кандидата филологических наук / Омск, 1995
# НОМИНАТИВНАЯ ЛИЧНОСТЬ КАК РЕАЛИЗАЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ (ОПЫТ ЭКСПЕРИМЕНТАЛЬНОГО ИССЛЕДОВАНИЯ) Гафурова М.Н. диссертация на соискание ученой степени кандидата филологических наук / Уральский федеральный университет имени первого Президента России Б.Н. Ельцина. Екатеринбург, 2012
# ОБРАЗЫ И ПРЕДСТАВЛЕНИЯ МИРА ПРИРОДЫ В СОЗНАНИИ РУССКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Курбатова С.А. диссертация на соискание ученой степени кандидата филологических наук / Государственный институт имени А. С. Пушкина. Москва, 2000
# ОБЩЕЕ И РАЗЛИЧНОЕ В СТРУКТУРЕ ЯЗЫКОВОЙ ЛИЧНОСТИ В РУССКОМ И АНГЛИЙСКОМ ВАРИАНТАХ ПРОФЕССИОНАЛЬНОГО СПОРТИВНОГО ЯЗЫКА Исмаева Ф.Х. диссертация на соискание ученой степени кандидата филологических наук / Казань, 2006
# ОККАЗИОНАЛЬНАЯ ФРАЗЕОЛОГИЧЕСКАЯ НОМИНАЦИЯ КАК СРЕДСТВО ВЫРАЖЕНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ АВТОРА ХУДОЖЕСТВЕННОГО ТЕКСТА Кривецкая Е.С. диссертация на соискание ученой степени кандидата филологических наук / Пятигорский государственный лингвистический университет. Пятигорск, 2006
# ОНОМАСТИЧЕСКОЕ ПРОСТРАНСТВО КАК ПРОЯВЛЕНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ АВТОРА (НА МАТЕРИАЛЕ ПРОИЗВЕДЕНИЙ С.Н. СЕРГЕЕВА-ЦЕНСКОГО) Гончарова Н.А. диссертация на соискание ученой степени кандидата филологических наук / Тамбов, 2007
# ОПИСАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ (КОНСТРУКТИВНЫЙ ПОДХОД) Мальцева О.Н. диссертация на соискание ученой степени кандидата филологических наук / Краснодар, 2000
# ОСОБЕННОСТИ ЖЕНСКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ В СОПОСТАВЛЕНИИ С МУЖСКОЙ (НА МАТЕРИАЛЕ СРАВНИТЕЛЬНЫХ КОНСТРУКЦИЙ В РЕЧИ ЖИТЕЛЕЙ Г. ЛЕСОСИБИРСКА) Шмульская Л.С. диссертация на соискание ученой степени кандидата филологических наук / Красноярск, 2002
# ОСОБЕННОСТИ ПРОЯВЛЕНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ В ОККАЗИОНАЛЬНОМ СЛОВОТВОРЧЕСТВЕ (НА МАТЕРИАЛЕ ТЕКСТОВ В. МАЯКОВСКОГО И И. СЕВЕРЯНИНА) Сичинава Ю.Н. диссертация на соискание ученой степени кандидата филологических наук / Кубанский государственный университет. Краснодар, 2007
# ОСОБЕННОСТИ РЕАЛИЗАЦИИ ПРОФЕССИОНАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ В ЕСТЕСТВЕННОЙ ПИСЬМЕННОЙ РЕЧИ ПРЕДПРИНИМАТЕЛЕЙ Золотова Е.С. диссертация ... кандидата филологических наук : 10.02.19 / Челябинский государственный университет. Челябинск, 2013
# ОСОБЕННОСТИ РЕПРЕЗЕНТАЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ В МУЛЬТИПЛИКАЦИОННОМ ПРОСТРАНСТВЕ (НА МАТЕРИАЛЕ МУЛЬТСЕРИАЛОВ "ВИНКС" И "БЕН 10: ИНОПЛАНЕТНАЯ СВЕРХСИЛА") Канукоева А.Л. автореферат дис. ... кандидата филологических наук / Кабард.-Балкар. гос. ун-т им. Х.М. Бербекова. Нальчик, 2017
# ОСОБЕННОСТИ РЕПРЕЗЕНТАЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ ПОДРОСТКА: ЛИНГВО-ПРАГМАТИЧЕСКИЙ АСПЕКТ (НА МАТЕРИАЛЕ СОВРЕМЕННЫХ АНГЛОЯЗЫЧНЫХ УЧЕБНО-МЕТОДИЧЕСКИХ КОМПЛЕКСОВ И ХУДОЖЕСТВЕННОЙ ЛИТЕРАТУРЫ О ПОДРОСТКАХ) Строгонова О.Л. диссертация на соискание ученой степени кандидата филологических наук / Московский государственный университет им. М.В. Ломоносова (МГУ). Москва, 2012
# ОСОБЕННОСТИ ЯЗЫКОВОЙ ЛИЧНОСТИ С.Д. ДОВЛАТОВА Хлупина М.А. автореферат дис. ... кандидата филологических наук / Моск. гос. пед. ун-т. Москва, 2015
# ПАРЕМИИ КАК ЛИНГВОКУЛЬТУРНАЯ РЕПРЕЗЕНТАЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ НЕМЕЦКОГО ЯЗЫКА) Кузьмина Е.А. диссертация на соискание ученой степени кандидата филологических наук / ТГУ. Тамбов, 2002
# ПАРЕМИОЛОГИЧЕСКИЙ МИНИМУМ В ЛЕКСИКОНЕ ЯЗЫКОВОЙ ЛИЧНОСТИ СОВРЕМЕННЫХ УЧАЩИХСЯ Петрова Л.А. диссертация на соискание ученой степени кандидата филологических наук / Новгородский государственный университет им. Ярослава Мудрого. Великий Новгород, 2007
# ПЕРЦЕПТИВНЫЕ КОНЦЕПТЫ И ЯЗЫКОВАЯ ЛИЧНОСТЬ В ХУДОЖЕСТВЕННОМ ДИСКУРСЕ (НА МАТЕРИАЛЕ ПРОИЗВЕДЕНИЙ Б. ПАСТЕРНАКА И М. ПРУСТА) Куган Е.И. автореферат дис. ... кандидата филологических наук / Белгородский государственный национальный исследовательский университет. Белгород, 2017
# ПРАГМАЛИНГВИСТИЧЕСКИЕ ХАРАКТЕРИСТИКИ АВТОРИТАРНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Пушкин А.А. диссертация на соискание учёной степени кандидата филологических наук / Чувашский государственный университет им. И.Н. Ульянова. Чебоксары, 1991
# ПРОСТОРЕЧИЕ И ДИАЛЕКТ В ЯЗЫКЕ А. П. ЧЕХОВА (К ХАРАКТЕРИСТИКЕ ЯЗЫКОВОЙ ЛИЧНОСТИ ПИСАТЕЛЯ) Кудинова Т.А. диссертация на соискание ученой степени кандидата филологических наук / Ростов-на-Дону, 2000
# ПРОФЕССИОНАЛИЗАЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА ПРИМЕРЕ ЮРИДИЧЕСКОГО ДИСКУРСА) Кубиц Г.В. диссертация на соискание ученой степени кандидата филологических наук / Челябинск, 2005
# ПСИХОЛИНГВИСТИЧЕСКИЙ И ЛИНГВОКОГНИТИВНЫЙ АНАЛИЗ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА ПРИМЕРЕ ПУБЛИЦИСТИЧЕСКОГО ДИСКУРСА В.П. АСТАФЬЕВА) Нестерова О.А. автореферат дис. ... кандидата филологических наук / Нижегор. гос. ун-т им. Н.И. Лобачевского. Нижний Новгород, 2016
# РЕАЛИЗАЦИЯ СТРАТЕГИИ САМОИДЕНТИФИКАЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ В ДНЕВНИКОВОМ ДИСКУРСЕ Леонова Е.В. автореферат дис. ... кандидата филологических наук / Северо-Кавказский федеральный университет. Саратов, 2016
# РЕЧЕВОЙ ПОРТРЕТ КОЛЛЕКТИВНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ ШКОЛЬНИКОВ 5-7 КЛАССОВ Мамаева С.В. диссертация на соискание ученой степени кандидата филологических наук / Самарский государственный университет. Лесосибирск, 2007
# РЕЧЕВЫЕ ОСОБЕННОСТИ ПОЛИТИКА КАК СИЛЬНОЙ/СЛАБОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ: ЛИНГВОПРАГМАТИЧЕСКИЙ И ЛИНГВОКУЛЬТУРНЫЙ АСПЕКТЫ (НА МАТЕРИАЛЕ РУССКОГО И АНГЛИЙСКОГО ЯЗЫКОВ) Тхакушинова Ж.Б. диссертация на соискание ученой степени кандидата филологических наук / Адыгейский государственный университет. Краснодар, 2010
# РОЛЬ ЯЗЫКОВОЙ ЛИЧНОСТИ В ТЕЛЕВИЗИОННОЙ РЕЧЕВОЙ КУЛЬТУРЕ Галстян С.С. диссертация на соискание ученой степени кандидата филологических наук / Институт повышения квалификации работников телевидения и радиовещания. Москва, 2008
# РУССКАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ В АСПЕКТЕ ЛИНГВОКОГНИТИВНЫХ СТИЛЕЙ РЕПРОДУЦИРОВАНИЯ НАУЧНОГО ТЕКСТА (НА МАТЕРИАЛЕ СТУДЕНЧЕСКИХ РЕФЕРАТОВ) Прокудина И.С. диссертация на соискание ученой степени кандидата филологических наук / Кемеровский государственный университет. Кемерово, 2009
# РУССКИЙ КОСМОФИЛОСОФСКИЙ ДИСКУРС КАК РЕЧЕМЫСЛИТЕЛЬНЫЙ ПРОДУКТ КОЛЛЕГИАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ: ЛИНГВОРИТОРИЧЕСКИЙ ПОДХОД : Тихонова А.Б. автореферат дис. ... кандидата филологических наук / Адыг. гос. ун-т. Майкоп, 2013
# РУССКИЙ РЕЛИГИОЗНО-ФИЛОСОФСКИЙ ДИСКУРС НАЧАЛА XX В.: ЛИНГВОРИТОРИЧЕСКИЕ ПАРАМЕТРЫ ГРУППОВОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ СБОРНИКА СТАТЕЙ "ИЗ ГЛУБИНЫ", 1918 Г.) Анистратенко И.В. диссертация на соискание ученой степени кандидата филологических наук / Кабардино-Балкарский государственный университет им. Х.М. Бербекова. Сочи, 2009
# РУССКИЙ ЯЗЫК КАК ФАКТОР ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ ДАГЕСТАНЦА-БИЛИНГВА Юнусова К.А. диссертация на соискание ученой степени кандидата филологических наук / Дагестанский государственный педагогический университет. Махачкала, 2010
# САМОПРЕЗЕНТАЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ В НЕМЕЦКОМ МОЛОДЕЖНОМ ЧАТ-ДИСКУРСЕ: СОБСТВЕННО МОЛОДЕЖНОЕ И НАЦИОНАЛЬНО-СПЕЦИФИЧЕСКОЕ Цибизов К.С. диссертация на соискание ученой степени кандидата филологических наук / Саратовский государственный университет им. Н.Г. Чернышевского. Саратов, 2009
# СЕМАНТИЧЕСКОЕ ПОЛЕ "АНТИЧНОСТЬ" В ЛЕКСИКОНЕ СОВРЕМЕННОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Румянцева Н.А. автореферат дис. ... кандидата филологических наук / Рос. гос. пед. ун-т им. А.И. Герцена. Санкт-Петербург, 2015
# СИЛЬНАЯ/СЛАБАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ: КОММУНИКАТИВНО-ПРАГМАТИЧЕСКИЕ ХАРАКТЕРИСТИКИ (НА МАТЕРИАЛЕ ТЕКСТОВ Д. КАРНЕГИ) Кадилина О.А. диссертация на соискание ученой степени кандидата филологических наук / Кубанский государственный университет. Краснодар, 2011
# СИММЕТРИЯ И АСИММЕТРИЯ ТЕЗАУРУСНОГО УРОВНЯ ЯЗЫКОВОЙ ЛИЧНОСТИ МУЗЫКАНТА (НА МАТЕРИАЛЕ РУССКОГО И НЕМЕЦКОГО ЯЗЫКОВ) Мутигуллина Э.Н. диссертация на соискание ученой степени кандидата филологических наук / Казан. (Приволж.) федер. ун-т. Казань, 2011
# СИНЕРГЕТИКА КОНЦЕПТОСФЕРЫ С.Т. АКСАКОВА КАК РУССКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ В ДИЛОГИИ СЕМЕЙНАЯ ХРОНИКА И ДЕТСКИЕ ГОДЫ БАГРОВА-ВНУКА Кузьмина Г.Ш. диссертация на соискание ученой степени кандидата филологических наук / Башкирский государственный университет. Уфа, 2005
# СЛЕНГ КАК СОСТАВЛЯЮЩАЯ ЯЗЫКОВОЙ ЛИЧНОСТИ ПОДРОСТКА Титоренко М.Ю. диссертация на соискание ученой степени кандидата филологических наук / Москва, 2003
# СОЦИАЛЬНАЯ СТРАТИФИКАЦИЯ ЯЗЫКА В РЕЧЕВОЙ РЕПРЕЗЕНТАЦИИ ЭЛИТАРНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ СОВРЕМЕННОЙ РУССКОЙ ПРОЗЫ) Картер Е.В. диссертация на соискание ученой степени кандидата филологических наук / Череповецкий государственный университет. Череповец, 2007
# СОЦИОКОММУНИКАТИВНЫЕ ХАРАКТЕРИСТИКИ ЯЗЫКОВОЙ ЛИЧНОСТИ ПЕРЕВОДЧИКА (НА МАТЕРИАЛЕ РУССКОГО И АНГЛИЙСКОГО ЯЗЫКОВ) Гуреева А.А. автореферат дис. ... кандидата филологических наук / Волгогр. гос. соц.-пед. ун-т. Волгоград, 2014
# СПЕЦИФИКА РЕАЛИЗАЦИИ КОНЦЕПТУАЛЬНОГО ПРЕДСТАВЛЕНИЯ "ДРУЖБА" В СОЗНАНИИ ЯЗЫКОВОЙ ЛИЧНОСТИ Масгутова М.Ф. Диссертация на соискание ученой степени кандидата филологических наук / Челябинский государственный университет. Челябинск, 2010
# СПЕЦИФИКА ФОРМИРОВАНИЯ И РАЗВИТИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ В МОНО- И ПОЛИЭТНИЧЕСКОЙ СРЕДЕ (НА ПРИМЕРЕ КАБАРДИНО-БАЛКАРСКОЙ РЕСПУБЛИКИ) Безрокова М.Б. диссертация на соискание ученой степени кандидата филологических наук / Кабардино-Балкарский государственный университет им. Х.М. Бербекова. Нальчик, 2013
# СПЕЦИФИКА ЭЛИТАРНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ В ЭПИСТОЛЯРНОМ ДИАЛОГЕ (М. ЦВЕТАЕВА И Б. ПАСТЕРНАК) Сулейманова М.А. диссертация на соискание ученой степени кандидата филологических наук / Дагестанский государственный педагогический университет. Махачкала, 2009
# СРАВНЕНИЯ В РЕЧИ ДИАЛЕКТНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Волкова Т.Ф. диссертация на соискание ученой степени кандидата филологических наук / Национальный исследовательский Томский государственный университет. Томск, 2004
# СРАВНИТЕЛЬНО-СОПОСТАВИТЕЛЬНОЕ ИЗУЧЕНИЕ ЛИНГВОКУЛЬТУРНОГО ТИПАЖА КАК АСПЕКТА ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ ЛИНГВОКУЛЬТУРНОГО ТИПАЖА "ДРУГ" В АНГЛО- И ИСПАНОЯЗЫЧНЫХ ХУДОЖЕСТВЕННЫХ ПРОИЗВЕДЕНИЯХ) Глушкова Н.М. автореферат дис. ... кандидата филологических наук / Тюменский государственный университет. Тюмень, 2016
# СТАТУСНЫЕ И СТРУКТУРНО-СЕМАНТИЧЕСКИЕ ХАРАКТЕРИСТИКИ ЯЗЫКОВОЙ ЛИЧНОСТИ КАК ЭТНОЛИНГВОТИПА В ЭПОХУ ГЛОБАЛИЗАЦИИ Пахаренко С.В. Диссертация на соискание ученой степени кандидата филологических наук / Северо-Кавказский федеральный университет. Ставрополь, 2017
# ТЕКСТЫ НОРМАТИВНО-ПРАВОВЫХ ДОКУМЕНТОВ В АСПЕКТЕ ЯЗЫКОВОЙ ЛИЧНОСТИ ЗАКОНОДАТЕЛЯ (НА МАТЕРИАЛЕ НОРМАТИВНО-ПРАВОВЫХ АКТОВ АЛТАЙСКОГО КРАЯ) Маланина Н.В. диссертация на соискание ученой степени кандидата филологических наук / Барнаул, 2006
# ТИПОЛОГИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ ТЕЛЕВИЗИОННОГО СПОРТИВНОГО КОММЕНТАТОРА (КОММУНИКАТИВНО-ПРАГМАТИЧЕСКИЙ АСПЕКТ) Косякин И.В. автореферат дис. ... кандидата филологических наук / Воронеж. гос. ун-т. Воронеж, 2014
# ТРАДИЦИОННАЯ РУССКАЯ ФРАЗЕОЛОГИЯ В ЯЗЫКОВОЙ ЛИЧНОСТИ СОВРЕМЕННЫХ ШКОЛЬНИКОВ И ПРОБЛЕМЫ СОЗДАНИЯ КОМПЛЕКСНОГО УЧЕБНОГО ФРАЗЕОЛОГИЧЕСКОГО СЛОВАРЯ Андронова Е.В. диссертация на соискание ученой степени кандидата филологических наук / Воронежский государственный университет. Воронеж, 2009
#ТРАНСФОРМАЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ В ИНТЕРНЕТ-КОММУНИКАЦИИ (НА ПРИМЕРЕ ФРАНЦУЗСКОЙ БЛОГОСФЕРЫ) Казнова Н.Н. диссертация на соискание ученой степени кандидата филологических наук / Пермский государственный национальный исследовательский университет. Пермь, 2011
# ФОРМАНТЫ ЯЗЫКОВОЙ ЛИЧНОСТИ ПИСАТЕЛЯ-НОВАТОРА (НА МАТЕРИАЛЕ ТВОРЧЕСТВА КАМИЛО ХОСЕ СЕЛЫ) Попов О.В. автореферат дис. ... кандидата филологических наук / Воронеж. гос. ун-т. Воронеж, 1994
# ФРАЗЕОЛОГИЗМЫ В ПОЭЗИИ В.С. ВЫСОЦКОГО КАК ФАКТОР ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ Митина А.А. автореферат дис. ... кандидата филологических наук / Тамб. гос. ун-т им. Г.Р. Державина. Тамбов, 2016
# ФРАЗЕОЛОГИЗМЫ КАК СПОСОБ РЕПРЕЗЕНТАЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ АВТОРА ХУДОЖЕСТВЕННОГО ТЕКСТА (НА МАТЕРИАЛЕ РОМАНА ДЖ. ГОЛСУОРСИ "СОБСТВЕННИК") Лысенко В.Л. диссертация на соискание ученой степени кандидата филологических наук / Адыгейский государственный университет. Майкоп, 2010
# ФРАЗОВАЯ НОМИНАЦИЯ КАК СРЕДСТВО ВЫРАЖЕНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ АВТОРА (НА МАТЕРИАЛЕ ЯЗЫКА ХУДОЖЕСТВЕННОЙ ЛИТЕРАТУРЫ) Фрикке Я.А. диссертация на соискание ученой степени кандидата филологических наук / Ставрополь, 2003
# ХУДОЖЕСТВЕННО-РЕЧЕВОЕ СВОЕОБРАЗИЕ ВОЕННЫХ ПОВЕСТЕЙ 1941-1945 ГОДОВ КАК ПРОЯВЛЕНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ АВТОРОВ Арсланбекова З.Ш. диссертация на соискание ученой степени кандидата филологических наук / Махачкала, 2006
# ЦВЕТООБОЗНАЧЕНИЯ В ЯЗЫКОВОМ СОЗНАНИИ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ РУССКОГО И ФРАНЦУЗСКОГО ЯЗЫКОВ) Петрова Е.Ю. диссертация на соискание ученой степени кандидата филологических наук / Московский государственный лингвистический университет. Москва, 2008
# ЦЕЛОСТНОСТЬ ЯЗЫКОВОЙ ЛИЧНОСТИ: ФУНКЦИОНАЛЬНО-ПРАГМАТИЧЕСКИЙ И РИТОРИЧЕСКИЙ АСПЕКТЫ (НА МАТЕРИАЛЕ РЕЧЕЙ ПРЕЗИДЕНТА США Ф.Д. РУЗВЕЛЬТА) Базалук Е.И. диссертация на соискание ученой степени кандидата филологических наук / Ставропольский государственный университет. Краснодар, 2010
# ЭВОЛЮЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТА В БИЛИНГВОМЕНТАЛЬНОМ ПРОСТРАНСТВЕ УЧЕБНОГО ДИСКУРСА Шаброва Н.С. диссертация на соискание ученой степени кандидата филологических наук / Кубанский государственный университет. Тюмень, 2009
# ЭКСТРАЛИНГВИСТИЧЕСКИЕ И ИНТРАЛИНГВИСТИЧЕСКИЕ ФАКТОРЫ ФОРМИРОВАНИЯ РУССКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ ПРОИЗВЕДЕНИЙ ХУДОЖЕСТВЕННОЙ ЛИТЕРАТУРЫ) Полякова В.Н. диссертация на соискание ученой степени кандидата филологических наук / Ростов-на-Дону, 2001
# ЭЛИТАРНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ В ПРОФЕССИОНАЛЬНОМ ДИСКУРСЕ Силантьева М.С. автореферат диссертации на соискание ученой степени кандидата филологических наук / Пермский государственный национальный исследовательский университет. Пермь, 2012
# ЭЛИТАРНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ В ПРОФЕССИОНАЛЬНОМ ДИСКУРСЕ Силантьева М.С. диссертация на соискание ученой степени кандидата филологических наук / Пермский государственный национальный исследовательский университет. Пермь, 2012
# ЭЛИТАРНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ В ПУБЛИЦИСТИЧЕСКОМ ДИСКУРСЕ (НА МАТЕРИАЛЕ ПУБЛИЦИСТИЧЕСКОГО ТВОРЧЕСТВА С. РАССАДИНА) Ашева А.А. автореферат дис. ... кандидата филологических наук / Адыг. гос. ун-т. Майкоп, 2013
# ЭЛОКУТИВНАЯ ПРАГМАТИКА ПЕЧАТНЫХ СМИ В КОНТЕКСТЕ ФОРМИРОВАНИЯ ИНТЕРНАЦИОНАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Антипова Д.Г. автореферат дис. ... кандидата филологических наук / Хакас. гос. ун-т им. Н.Ф. Катанова. Абакан, 2013
# ЭМОЦИОНАЛЬНЫЙ ДЕЙКСИС В ВЕРБАЛЬНОМ ПОВЕДЕНИИ АНГЛИЙСКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ АНГЛОЯЗЫЧНОЙ ХУДОЖЕСТВЕННОЙ ЛИТЕРАТУРЫ) Жура В.В. диссертация на соискание ученой степени кандидата филологических наук / Волгоградский государственный университет. Волгоград, 2000
# ЭМОЦИОНАЛЬНЫЙ УРОВЕНЬ МУЖСКОЙ И ЖЕНСКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ И СРЕДСТВА ЕГО ВЫРАЖЕНИЯ (НА МАТЕРИАЛЕ ПЛЕНАРНЫХ ДЕБАТОВ БУНДЕСТАГА) Табурова С.К. диссертация на соискание ученой степени кандидата филологических наук / Москва, 1999
# ЭСТЕТИЧЕСКАЯ ОЦЕНКА В МИРЕ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ ТВОРЧЕСТВА Л.Н. ТОЛСТОГО) Алексеева В.Е. диссертация на соискание ученой степени кандидата филологических наук / Институт языкознания Российской академии наук. Москва, 2009
# ЭТНОПСИХОЛИНГВИСТИЧЕСКИЕ ОСОБЕННОСТИ ВОСПРИЯТИЯ ФРАНЦУЗСКОГО ХУДОЖЕСТВЕННОГО ТЕКСТА ВТОРИЧНОЙ (РУССКОЙ) ЯЗЫКОВОЙ ЛИЧНОСТЬЮ Метельская Л.Н. диссертация на соискание ученой степени кандидата филологических наук / Военный университет. Москва, 2007
# ЯЗЫКОВАЯ И ЛИТЕРАТУРНАЯ ЛИЧНОСТЬ А. ГАЙДАРА В ЛИНГВОРИТОРИЧЕСКИХ ПАРАМЕТРАХ СОВЕТСКОГО ХУДОЖЕСТВЕННО-ИДЕОЛОГИЧЕСКОГО ДИСКУРСА Субботина И.К. диссертация на соискание ученой степени кандидата филологических наук / Кабардино-Балкарский государственный университет им. Х.М. Бербекова. Сочи, 2011
# ЯЗЫКОВАЯ КАРТИНА МИРА А. С. ПУШКИНА КАК РУССКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ В РОМАНЕ "ЕВГЕНИЙ ОНЕГИН" Салимова Л.М. диссертация на соискание ученой степени кандидата филологических наук / Уфа, 2000
# ЯЗЫКОВАЯ КАРТИНА МИРА В СТРУКТУРЕ РЕЧЕМЫСЛИТЕЛЬНОЙ ДЕЯТЕЛЬНОСТИ РУССКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ СОЧИНЕНИЙ ПО КАРТИНЕ В.А. СЕРОВА "ДЕВОЧКА С ПЕРСИКАМИ") Шпильная Н.Н. диссертация на соискание ученой степени кандидата филологических наук / Кемеровский государственный университет. Кемерово, 2010
# ЯЗЫКОВАЯ ЛИЧНОСТЬ АДВОКАТА В КОНТЕКСТЕ ЮРИДИЧЕСКОГО ДИСКУРСА (НА МАТЕРИАЛЕ РЕЧЕЙ С.А. АНДРЕЕВСКОГО И Н.П. КАРАБЧЕВСКОГО) Климович О.В. автореферат дис. ... кандидата филологических наук / Башкир. гос. ун-т. Уфа, 2016
# ЯЗЫКОВАЯ ЛИЧНОСТЬ БЫВШЕГО СЕЛЬСКОГО ЖИТЕЛЯ Власкова М.В. диссертация на соискание ученой степени кандидата филологических наук / Вятский государственный гуманитарный университет. Арзамас, 2012
# ЯЗЫКОВАЯ ЛИЧНОСТЬ В АСПЕКТЕ ПСИХОЛИНГВИСТИЧЕСКИХ ХАРАКТЕРИСТИК (НА МАТЕРИАЛЕ ПИСЬМЕННЫХ ТЕКСТОВ) Кулишова Н.Д. диссертация на соискание ученой степени кандидата филологических наук / Краснодар, 2001
# ЯЗЫКОВАЯ ЛИЧНОСТЬ В ИНОКУЛЬТУРНОЙ СРЕДЕ (ПО ДАННЫМ РУССКОЯЗЫЧНОЙ ТЕХНИЧЕСКИ ОПОСРЕДОВАННОЙ КОММУНИКАЦИИ НОСИТЕЛЕЙ КИТАЙСКОГО ЯЗЫКА) Трубчанинова М.Е. диссертация на соискание ученой степени кандидата филологических наук / Воронежский государственный университет. Воронеж, 2008
# ЯЗЫКОВАЯ ЛИЧНОСТЬ В КОНТЕКСТЕ ЯЗЫКОВОЙ ИГРЫ (НА МАТЕРИАЛЕ РОССИЙСКИХ ТОК-ШОУ) Бирюкова Е.О. диссертация на соискание ученой степени кандидата филологических наук / Вологодский государственный педагогический университет. Череповец, 2012
# ЯЗЫКОВАЯ ЛИЧНОСТЬ В ЛИТЕРАТУРНО-ХУДОЖЕСТВЕННОМ ДИСКУРСЕ ЭРНЕСТА ХЭМИНГУЭЯ Кузневич З.А. диссертация на соискание ученой степени кандидата филологических наук / Иркутск, 1999
# ЯЗЫКОВАЯ ЛИЧНОСТЬ В ПОЭТИЧЕСКОМ ИДИОЛЕКТЕ ГЕОРГИЯ ИВАНОВА Кац Е.А. диссертация на соискание ученой степени кандидата филологических наук / Московский государственный университет им. М.В. Ломоносова (МГУ). Москва, 2009
# ЯЗЫКОВАЯ ЛИЧНОСТЬ В ПУБЛИЦИСТИЧЕСКОМ ДИСКУРСЕ (НА МАТЕРИАЛЕ НЕМЕЦКИХ ЖУРНАЛЬНЫХ ТЕКСТОВ) Дедюкова М.В. диссертация на соискание ученой степени кандидата филологических наук / Московский государственный университет им. М.В. Ломоносова (МГУ). Москва, 2009
# ЯЗЫКОВАЯ ЛИЧНОСТЬ В РУССКОЯЗЫЧНОМ БЛОГЕ (КОГНИТИВНО-ПРАГМАТИЧЕСКИЙ АСПЕКТ) Калашникова А.А. диссертация на соискание ученой степени кандидата филологических наук / Южный федеральный университет. Ростов-на-Дону, 2011
# ЯЗЫКОВАЯ ЛИЧНОСТЬ В УСЛОВИЯХ ФОРМИРОВАНИЯ НОРМ РУССКОГО ЛИТЕРАТУРНОГО ЯЗЫКА (ПЕРВАЯ ПОЛОВИНА XVIII ВЕКА) НА МАТЕРИАЛЕ ПИСЕМ И РАСПОРЯЖЕНИЙ А.Н. ДЕМИДОВА Иванова Е.Н. диссертация на соискание ученой степени кандидата филологических наук / Уральский федеральный университет им. первого Президента России Б.Н. Ельцина. Екатеринбург, 2008
# ЯЗЫКОВАЯ ЛИЧНОСТЬ В ЭЛЕКТРОННОМ ГИПЕРТЕКСТЕ (НА МАТЕРИАЛЕ ЭКСПРЕССИВНОГО СИНТАКСИСА ВЕДУЩИХ ЭЛЕКТРОННЫХ ЖАНРОВ) Левоненко О.А. диссертация на соискание ученой степени кандидата филологических наук / Таганрог, 2004
# ЯЗЫКОВАЯ ЛИЧНОСТЬ В.Е. МАКСИМОВА (НА МАТЕРИАЛЕ ХУДОЖЕСТВЕННОЙ ПРОЗЫ) Васильева М.Н. Автореферат диссертации на соискание ученой степени кандидата филологических наук / Башкирский государственный педагогический университет им. М. Акмуллы. Уфа, 2015
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ВЛАДИМИРА НАБОКОВА КАК АВТОРА ХУДОЖЕСТВЕННОГО ТЕКСТА (ЛЕКСИЧЕСКИЙ АСПЕКТ. НА МАТЕРИАЛЕ РУССКОЯЗЫЧНОЙ ПРОЗЫ) Каракуц-Бородина Л.А. диссертация на соискание ученой степени кандидата филологических наук / Уфа, 2000
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ДИАЛЕКТОНОСИТЕЛЯ В ЖАНРОВОМ АСПЕКТЕ Казакова О.А. диссертация на соискание ученой степени кандидата филологических наук / Томск, 2004
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ЕКАТЕРИНЫ ВТОРОЙ Никитина А.Ю. автореферат дис. ... кандидата филологических наук / Казан. (Приволж.) федер. ун-т. Казань, 2014
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ИВАНА ГРОЗНОГО (НА МАТЕРИАЛЕ ДЕЛОВЫХ ПОСЛАНИЙ) Попова О.В. диссертация на соискание ученой степени кандидата филологических наук / Омск, 2004
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ИВАНА IV (НА МАТЕРИАЛЕ ДОКУМЕНТОВ XVI - XVII ВЕКОВ) Шилина С.А. диссертация на соискание ученой степени кандидата филологических наук / Брянск, 2003
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ЛИНГВИСТИЧЕСКИЙ И ПСИХОЛОГИЧЕСКИЙ АСПЕКТЫ (НА МАТЕРИАЛЕ РОМАНА "БЕСЫ" И "ДНЕВНИКА ПИСАТЕЛЯ" Ф.М. ДОСТОЕВСКОГО) Залогина Е.М. автореферат дис. ... кандидата филологических наук / Рос. гос. пед. ун-т им. А.И. Герцена. Санкт-Петербург, 2004
# ЯЗЫКОВАЯ ЛИЧНОСТЬ МИКОЛЫ ХВЫЛЕВОГО В АСПЕКТЕ СТИЛИСТИКИ И ИСТОРИИ ЛИТЕРАТУРНОГО ЯЗЫКА Лужик Н.С. автореферат дис. ... кандидата филологических наук / Киев, 1996
# ЯЗЫКОВАЯ ЛИЧНОСТЬ МУЗЫКАНТА В ЭТНОКУЛЬТУРНОМ АСПЕКТЕ (НА МАТЕРИАЛЕ ДИСКУРСНЫХ МАНИФЕСТАЦИЙ А.Н. СКРЯБИНА И К. ДЕБЮССИ) Быканова М.С. Диссертация на соискание ученой степени кандидата филологических наук / Белгородский государственный национальный исследовательский университет. Белгород, 2014
# ЯЗЫКОВАЯ ЛИЧНОСТЬ НОСИТЕЛЯ ГОРОДСКОГО ПРОСТОРЕЧИЯ Соломина Е.В. Диссертация на соискание ученой степени кандидата филологических наук / Национальный исследовательский Томский государственный университет. Томск, 2016
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ПЕДАГОГА: СТАТИКА И ДИНАМИКА : Сергеева О.В. диссертация на соискание ученой степени кандидата филологических наук / Адыгейский государственный университет. Краснодар, 2013
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ПЕРЕВОДЧИКА (НА МАТЕРИАЛЕ ДИСКУРСА Б.В. ЗАХОДЕРА) Шевченко О.Н. диссертация на соискание ученой степени кандидата филологических наук / Волгоградский государственный педагогический университет. Волгоград, 2005
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ПЕРСОНАЖА В АСПЕКТЕ ПСИХОПОЭТИКИ (НА МАТЕРИАЛЕ РОМАНА Л.Н. ТОЛСТОГО "АННА КАРЕНИНА") Богомолов А.Ю. диссертация на соискание ученой степени кандидата филологических наук / Череповечкий государственный университет. Череповец, 2005
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ПЕРСОНАЖА В ПРОЗЕ А. П. ЧЕХОВА КОНЦА 80-Х - НАЧАЛА 90-Х ГОДОВ (ЛЕКСИКО-СЕМАНТИЧЕСКИЙ АСПЕКТ) Трещалина И.В. диссертация на соискание ученой степени кандидата филологических наук / Тверь, 1998
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ПЕРСОНАЖА ЛИТЕРАТУРНОГО ПРОИЗВЕДЕНИЯ И ПСИХОТИП ЧЕЛОВЕКА (НА ПРИМЕРЕ ПРОИЗВЕДЕНИЙ М.А. БУЛГАКОВА) Смирнова А.А. диссертация на соискание ученой степени кандидата филологических наук / Московский государственный областной университет. Москва, 2011
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ПЕРСОНАЖА: ОБЩЕЕ И РАЗЛИЧНОЕ В КАТЕГОРИЗАЦИИ ВЕЖЛИВОСТИ (НА МАТЕРИАЛЕ ОРИГИНАЛА И ПЕРЕВОДА РОМАНА И.С. ТУРГЕНЕВА "ОТЦЫ И ДЕТИ" НА АНГЛИЙСКИЙ ЯЗЫК) Гарипова Г.Ш. диссертация на соискание ученой степени кандидата филологических наук / Татарский государственный гуманитарно-педагогический университет. Казань, 2011
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ПИСАТЕЛЯ КАК ИСТОЧНИК РЕЧЕВЫХ ХАРАКТЕРИСТИК ПЕРСОНАЖЕЙ (ПО МАТЕРИАЛАМ ПРОИЗВЕДЕНИЙ Б. АКУНИНА) Менькова Н.Н. диссертация на соискание ученой степени кандидата филологических наук / Москва, 2004
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ПИСАТЕЛЯ ЯНЫБАЯ ХАММАТОВА (НА МАТЕРИАЛЕ ХУДОЖЕСТВЕННЫХ ТЕКСТОВ) Ишегулова А.М. Автореферат диссертации на соискание ученой степени кандидата филологических наук / Башкирский государственный университет. Уфа, 2016
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ПОЛИТИЧЕСКОГО ДЕЯТЕЛЯ: ДИСКУРСИВНЫЕ ХАРАКТЕРИСТИКИ (НА МАТЕРИАЛЕ РЕЧЕЙ УИНСТОНА ЧЕРЧИЛЛЯ) Кричун Ю.А. диссертация на соискание ученой степени кандидата филологических наук / Кубанский государственный университет. Краснодар, 2011
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ПОЛИТИЧЕСКОГО ЛИДЕРА (НА МАТЕРИАЛЕ ГАЗЕТ НОВЕЙШЕГО ВРЕМЕНИ) Соколовская Т.Б. диссертация на соискание ученой степени кандидата филологических наук / Санкт-Петербург, 2002
# ЯЗЫКОВАЯ ЛИЧНОСТЬ РЕГИОНАЛЬНОГО ТЕЛЕВЕДУЩЕГО В КОНТЕКСТЕ ТЕЛЕВИЗИОННОГО ДИСКУРСА Касимханова А.Ф. автореферат дис. ... кандидата филологических наук / Башкир. гос. ун-т. Уфа, 2015
# ЯЗЫКОВАЯ ЛИЧНОСТЬ СОВРЕМЕННОГО СТАРШЕКЛАССНИКА Аниськина Н.В. диссертация на соискание ученой степени кандидата филологических наук / Ярославль, 2001
# ЯЗЫКОВАЯ ЛИЧНОСТЬ СТАРШЕКЛАССНИКА В АСПЕКТЕ ЕЕ РЕЧЕВЫХ РЕАЛИЗАЦИЙ (НА МАТЕРИАЛЕ ДАННЫХ АССОЦИАТИВНОГО ЭКСПЕРИМЕНТА И СОЦИОЛЕКТА ШКОЛЬНИКОВ КРАСНОДАРА) Тарасенко Т.П. диссертация на соискание ученой степени кандидата филологических наук / Кубанский государственный университет. Краснодар, 2007
# ЯЗЫКОВАЯ ЛИЧНОСТЬ СТАРШЕКЛАССНИКА: ОРТОЛОГИЧЕСКИЙ АСПЕКТ (НА МАТЕРИАЛЕ СОЧИНЕНИЙ ЕГЭ) Леонтьева О.А. диссертация на соискание ученой степени кандидата филологических наук / Омский государственный университет им. Ф.М. Достоевского. Омск, 2010
# ЯЗЫКОВАЯ ЛИЧНОСТЬ СТУДЕНТА ПОЛИЭТНИЧЕСКОГО ВУЗА Фомина Ю.С. диссертация на соискание ученой степени кандидата филологических наук / Башкирский государственный университет. Уфа, 2011
# ЯЗЫКОВАЯ ЛИЧНОСТЬ СУБЪЕКТА БЛОГ-ДИСКУРСА (ЛИНГВОКОГНИТИВНЫЙ АСПЕКТ) Гермашева Т.М. диссертация на соискание ученой степени кандидата филологических наук / Кабардино-Балкарский государственный университет им. Х.М. Бербекова. Ростов-на-Дону, 2011
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ТЕЛЕВЕДУЩЕГО В РАМКАХ РУССКОГО РИТОРИЧЕСКОГО ЭТОСА (НА МАТЕРИАЛЕ ИГРОВЫХ ПРОГРАММ) Канчер М.А. диссертация на соискание ученой степени кандидата филологических наук / Екатеринбург, 2002
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ТЕЛЕВИЗИОННОГО ВЕДУЩЕГО Беспамятнова Г.Н. автореферат дис. ... кандидата филологических наук / Гос. ун-т. Воронеж, 1994
# ЯЗЫКОВАЯ ЛИЧНОСТЬ УЧЕНОГО В ЭПИСТОЛЯРНЫХ ТЕКСТАХ (НА МАТЕРИАЛЕ ПИСЕМ Ю.М. ЛОТМАНА) Парсамова В.Я. -диссертация на соискание ученой степени кандидата филологических наук / Саратов, 2004
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ЭМИГРАНТА В РАССКАЗАХ ТЭФФИ 1920-40-Х ГОДОВ Елизарова М.М. диссертация на соискание ученой степени кандидата филологических наук / Санкт-Петербург, 1999
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ЭТНИЧЕСКИЙ АСПЕКТ (НА МАТЕРИАЛЕ БУРЯТСКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ)Шойсоронова Е.С. автореферат дис. ... кандидата филологических наук / Бурятский государственный университет. Улан-Удэ, 2006
# ЯЗЫКОВАЯ ЛИЧНОСТЬ: ЛИНГВИСТИЧЕСКИЙ И ПСИХОЛОГИЧЕСКИЙ АСПЕКТЫ (НА МАТЕРИАЛЕ РОМАНА "БЕСЫ" И "ДНЕВНИКА ПИСАТЕЛЯ" Ф.М. ДОСТОЕВСКОГО) Залогина Е.М.диссертация на соискание ученой степени кандидата филологических наук / Санкт-Петербург, 2004
# ЯЗЫКОВАЯ ЛИЧНОСТЬ: ЭТНИЧЕСКИЙ АСПЕКТ (НА МАТЕРИАЛЕ БУРЯТСКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ) Шойсоронова Е.С. диссертация на соискание ученой степени кандидата филологических наук / Улан-Удэ, 2006
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ЖИТЕЛЬНИЦЫ РУССКОГО СЕВЕРА: ОПЫТ ВЕРБАЛЬНО-СЕМАНТИЧЕСКОГО, ЛИНГВОКОГНИТИВНОГО И ПРАГМАТИЧЕСКОГО ОПИСАНИЯ.
# ПРОФЕССИОНАЛЬНЫЙ ЯЗЫК КАК СРЕДСТВО МОДЕЛИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ РУССКОГО И АНГЛИЙСКОГО ВАРИАНТОВ ПРОФЕССИОНАЛЬНОГО ЯЗЫКА ЛЕСНОГО ХОЗЯЙСТВА) Гафиятова Э. В
---
|!![[1900|ФилологиДиссертации за 1900 год]]!! [[2000|ФилологиДиссертации за 2000 год]]!![[2001|ФилологиДиссертации за 2001 год]]!! [[2002|ФилологиДиссертации за 2002 год]]!! [[2003|ФилологиДиссертации за 2003 год]] !! [[2004|ФилологиДиссертации за 2004 год]] !! [[2005|ФилологиДиссертации за 2005 год]] !![[2006|ФилологиДиссертации за 2006 год]] !! [[2007|ФилологиДиссертации за 2007 год]] !![[2008|ФилологиДиссертации за 2008 год]] !![[2009|ФилологиДиссертации за 2009 год]] ![[2010|ФилологиДиссертации за 2010 год]] !![[2011|ФилологиДиссертации за 2011 год]] !![[2012|ФилологиДиссертации за 2012 год]] !! [[2013|ФилологиДиссертации за 2013 год]] !! [[2014|ФилологиДиссертации за 2014 год]] !![[2015|ФилологиДиссертации за 2015 год]] !![[2016|ФилологиДиссертации за 2016 год]] !![[2017|ФилологиДиссертации за 2017 год]] !![[2018|ФилологиДиссертации за 2018 год]] !![[2019|ФилологиДиссертации за 2019 год]]
* ОСОБЕННОСТИ РЕАЛИЗАЦИИ ПРОФЕССИОНАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ В ЕСТЕСТВЕННОЙ ПИСЬМЕННОЙ РЕЧИ ПРЕДПРИНИМАТЕЛЕЙ [[Золотова Е.С.]] диссертация ... кандидата филологических наук : 10.02.19 / Челябинский государственный университет. Челябинск, 2013
* В.В. ВИНОГРАДОВ КАК ПРОФЕССИОНАЛЬНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ УЧЕНОГО-ФИЛОЛОГА: ЛИНГВОРИТОРИЧЕСКИЙ АСПЕКТ : [[Кузнецова Л.Н.]] на материале текстов о языке и стиле русских писателей : диссертация ... кандидата филологических наук : 10.02.19 / Адыгейский государственный университет. Сочи, 2013
*ПРОФЕССИОНАЛИЗАЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА ПРИМЕРЕ ЮРИДИЧЕСКОГО ДИСКУРСА) [[Кубиц Г.В.]] диссертация на соискание ученой степени кандидата филологических наук / Челябинск, 2005
*«ПРОФЕССИОНАЛЬНЫЙ ЯЗЫК КАК СРЕДСТВО МОДЕЛИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ РУССКОГО И АНГЛИЙСКОГО ВАРИАНТОВ ПРОФЕССИОНАЛЬНОГО ЯЗЫКА ЛЕСНОГО ХОЗЯЙСТВА)» 02.07.2019 [[Гафиятова Э.В.]] Эльзара Василовна докторская10.02.20 - Сравнительно-историческое, типологическое и сопоставительное языкознание
''1900 - 1999 год''
# ПРАГМАЛИНГВИСТИЧЕСКИЕ ХАРАКТЕРИСТИКИ АВТОРИТАРНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Пушкин А.А. диссертация на соискание учёной степени кандидата филологических наук / Чувашский государственный университет им. И.Н. Ульянова. Чебоксары, 1991
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ТЕЛЕВИЗИОННОГО ВЕДУЩЕГО Беспамятнова Г.Н. автореферат дис. ... кандидата филологических наук / Гос. ун-т. Воронеж, 1994
# ФОРМАНТЫ ЯЗЫКОВОЙ ЛИЧНОСТИ ПИСАТЕЛЯ-НОВАТОРА (НА МАТЕРИАЛЕ ТВОРЧЕСТВА КАМИЛО ХОСЕ СЕЛЫ) Попов О.В. автореферат дис. ... кандидата филологических наук / Воронеж. гос. ун-т. Воронеж, 1994
# НЕНОРМАТИВНАЯ ЛЕКСИКА В РЕЧИ СОВРЕМЕННОГО ГОРОДСКОГО ПОДРОСТКА (В СВЕТЕ КОНЦЕПЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ) Гуц Е.Н. диссертация на соискание ученой степени кандидата филологических наук / Омск, 1995
# ЯЗЫКОВАЯ ЛИЧНОСТЬ МИКОЛЫ ХВЫЛЕВОГО В АСПЕКТЕ СТИЛИСТИКИ И ИСТОРИИ ЛИТЕРАТУРНОГО ЯЗЫКА Лужик Н.С. автореферат дис. ... кандидата филологических наук / Киев, 1996
# КУЛЬТУРА УКРАИНСКОГО ЯЗЫКА И ЯЗЫКОВАЯ ЛИЧНОСТЬ УЧИТЕЛЯ Струганец Л.В. автореферат дис. ... кандидата филологических наук / Киев, 1996
# ЛЕКСИЧЕСКАЯ СТРУКТУРА ТЕКСТА И ПРОБЛЕМА ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ РОМАНА Ф.М. ДОСТОЕВСКОГО "ИДИОТ") Деревскова Е.Н. Диссертация на соискание ученой степени кандидата филологических наук / Российский государственный педагогический университет им. А. И. Герцена. Санкт-Петербург, 1998
# ВИКТОР ШКЛОВСКИЙ ТЕКСТ-МИФ-РЕАЛЬНОСТЬ (К ПРОБЛЕМЕ ЛИТЕРАТУРНОЙ И ЯЗЫКОВОЙ ЛИЧНОСТИ) Панченко О.Н. автореферат дис. ... доктора филологических наук / Рос. ун-т дружбы народов. Москва, 1998
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ПЕРСОНАЖА В ПРОЗЕ А. П. ЧЕХОВА КОНЦА 80-Х - НАЧАЛА 90-Х ГОДОВ (ЛЕКСИКО-СЕМАНТИЧЕСКИЙ АСПЕКТ) Трещалина И.В. диссертация на соискание ученой степени кандидата филологических наук / Тверь, 1998
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ЭМИГРАНТА В РАССКАЗАХ ТЭФФИ 1920-40-Х ГОДОВ Елизарова М.М. диссертация на соискание ученой степени кандидата филологических наук / Санкт-Петербург, 1999
# ЯЗЫКОВАЯ ЛИЧНОСТЬ В ЛИТЕРАТУРНО-ХУДОЖЕСТВЕННОМ ДИСКУРСЕ ЭРНЕСТА ХЭМИНГУЭЯ Кузневич З.А. диссертация на соискание ученой степени кандидата филологических наук / Иркутск, 1999
# ЭМОЦИОНАЛЬНЫЙ УРОВЕНЬ МУЖСКОЙ И ЖЕНСКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ И СРЕДСТВА ЕГО ВЫРАЖЕНИЯ (НА МАТЕРИАЛЕ ПЛЕНАРНЫХ ДЕБАТОВ БУНДЕСТАГА) Табурова С.К. диссертация на соискание ученой степени кандидата филологических наук / Москва, 1999
# "ПОХВАЛА", "ЛЕСТЬ" И "КОМПЛИМЕНТ" В СТРУКТУРЕ АНГЛИЙСКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Леонтьев В.В. диссертация на соискание ученой степени кандидата филологических наук / Волгоград, 1999
# ЯЗЫКОВАЯ ЛИЧНОСТЬ НОСИТЕЛЯ ЭЛИТАРНОЙ РЕЧЕВОЙ КУЛЬТУРЫ Кочеткова Т.В. Автореферат диссертации на соиск. учен. степ. д-ра филол. Наук / Волгоградский государственный педагогический университет. Волгоград, 1999
# СТАНОВЛЕНИЕ СТРУКТУРЫ УСТНОГО ДИСКУРСА КАК ВЫРАЖЕНИЕ ЭВОЛЮЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ Седов К.Ф. диссертация на соискание ученой степени доктора филологических наук / Саратов, 1999
''2000 год''
# РЕПРЕЗЕНТАТИВНАЯ СУЩНОСТЬ ЯЗЫКОВОЙ ЛИЧНОСТИ В КОММУНИКАТИВНОМ АСПЕКТЕ РЕАЛИЗАЦИЙ Зеленская В.В. диссертация на соискание ученой степени доктора филологических наук / Краснодар, 2000
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ВЛАДИМИРА НАБОКОВА КАК АВТОРА ХУДОЖЕСТВЕННОГО ТЕКСТА (ЛЕКСИЧЕСКИЙ АСПЕКТ. НА МАТЕРИАЛЕ РУССКОЯЗЫЧНОЙ ПРОЗЫ) Каракуц-Бородина Л.А. диссертация на соискание ученой степени кандидата филологических наук / Уфа, 2000
# ЯЗЫКОВАЯ КАРТИНА МИРА А. С. ПУШКИНА КАК РУССКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ В РОМАНЕ "ЕВГЕНИЙ ОНЕГИН" Салимова Л.М. диссертация на соискание ученой степени кандидата филологических наук / Уфа, 2000
# ЭМОЦИОНАЛЬНЫЙ ДЕЙКСИС В ВЕРБАЛЬНОМ ПОВЕДЕНИИ АНГЛИЙСКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ АНГЛОЯЗЫЧНОЙ ХУДОЖЕСТВЕННОЙ ЛИТЕРАТУРЫ) Жура В.В. диссертация на соискание ученой степени кандидата филологических наук / Волгоградский государственный университет. Волгоград, 2000
# ПРОСТОРЕЧИЕ И ДИАЛЕКТ В ЯЗЫКЕ А. П. ЧЕХОВА (К ХАРАКТЕРИСТИКЕ ЯЗЫКОВОЙ ЛИЧНОСТИ ПИСАТЕЛЯ) Кудинова Т.А. диссертация на соискание ученой степени кандидата филологических наук / Ростов-на-Дону, 2000
# ОПИСАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ (КОНСТРУКТИВНЫЙ ПОДХОД) Мальцева О.Н. диссертация на соискание ученой степени кандидата филологических наук / Краснодар, 2000
# ОБРАЗЫ И ПРЕДСТАВЛЕНИЯ МИРА ПРИРОДЫ В СОЗНАНИИ РУССКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Курбатова С.А. диссертация на соискание ученой степени кандидата филологических наук / Государственный институт имени А. С. Пушкина. Москва, 2000
# ДИСКУРСНОЕ ОПИСАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ КАТУЛЛА Пшенина Т.Е. автореферат дис. ... кандидата филологических наук / Алматы, 2000
# АСПЕКТЫ ЯЗЫКОВОЙ ИГРЫ: АНОМАЛЬНОСТЬ И ПАРАДОКСАЛЬНОСТЬ ЯЗЫКОВОЙ ЛИЧНОСТИ С. ДОВЛАТОВА Букирева Т.А. диссертация на соискание ученой степени кандидата филологических наук / Краснодар, 2000
# ЯЗЫКОВАЯ ЛИЧНОСТЬ (ИДИОЛЕКТ И ДИАЛЕКТ) Лютикова В.Д. диссертация на соискание ученой степени доктора филологических наук / Екатеринбург, 2000
# ЯЗЫКОВАЯ ЛИЧНОСТЬ (ЛИНГВОКУЛЬТУРОЛОГИЧЕСКИЙ АСПЕКТ) Тхорик В.И. диссертация на соискание ученой степени доктора филологических наук / Краснодар, 2000
''2001 год''
# ЯЗЫКОВАЯ ЛИЧНОСТЬ В АСПЕКТЕ ПСИХОЛИНГВИСТИЧЕСКИХ ХАРАКТЕРИСТИК (НА МАТЕРИАЛЕ ПИСЬМЕННЫХ ТЕКСТОВ) Кулишова Н.Д. диссертация на соискание ученой степени кандидата филологических наук / Краснодар, 2001
# ЯЗЫКОВАЯ ЛИЧНОСТЬ СОВРЕМЕННОГО СТАРШЕКЛАССНИКА Аниськина Н.В. диссертация на соискание ученой степени кандидата филологических наук / Ярославль, 2001
# ЭКСТРАЛИНГВИСТИЧЕСКИЕ И ИНТРАЛИНГВИСТИЧЕСКИЕ ФАКТОРЫ ФОРМИРОВАНИЯ РУССКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ ПРОИЗВЕДЕНИЙ ХУДОЖЕСТВЕННОЙ ЛИТЕРАТУРЫ) Полякова В.Н. диссертация на соискание ученой степени кандидата филологических наук / Ростов-на-Дону, 2001
''2002 год''
# НОРМАТИВНО-НАУЧНАЯ КАРТИНА МИРА РУССКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ В КОМПЛЕКСНОМ ЛИНГВИСТИЧЕСКОМ РАССМОТРЕНИИ Максимчук Н.А. диссертация на соискание ученой степени доктора филологических наук / Москва, 2002
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ТЕЛЕВЕДУЩЕГО В РАМКАХ РУССКОГО РИТОРИЧЕСКОГО ЭТОСА (НА МАТЕРИАЛЕ ИГРОВЫХ ПРОГРАММ) Канчер М.А. диссертация на соискание ученой степени кандидата филологических наук / Екатеринбург, 2002
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ПОЛИТИЧЕСКОГО ЛИДЕРА (НА МАТЕРИАЛЕ ГАЗЕТ НОВЕЙШЕГО ВРЕМЕНИ) Соколовская Т.Б. диссертация на соискание ученой степени кандидата филологических наук / Санкт-Петербург, 2002
# ПАРЕМИИ КАК ЛИНГВОКУЛЬТУРНАЯ РЕПРЕЗЕНТАЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ НЕМЕЦКОГО ЯЗЫКА) Кузьмина Е.А. диссертация на соискание ученой степени кандидата филологических наук / ТГУ. Тамбов, 2002
# ОСОБЕННОСТИ ЖЕНСКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ В СОПОСТАВЛЕНИИ С МУЖСКОЙ (НА МАТЕРИАЛЕ СРАВНИТЕЛЬНЫХ КОНСТРУКЦИЙ В РЕЧИ ЖИТЕЛЕЙ Г. ЛЕСОСИБИРСКА) Шмульская Л.С. диссертация на соискание ученой степени кандидата филологических наук / Красноярск, 2002
# МЕТАФОРИЧЕСКАЯ И МЕТАТЕКСТОВАЯ КОНСТАНТЫ ЯЗЫКОВОЙ ЛИЧНОСТИ АКАДЕМИКА В. В. ВИНОГРАДОВА Федорченко И.А. диссертация на соискание ученой степени кандидата филологических наук / Новосибирск, 2002
# ЛИНГВОСОЦИОНИЧЕСКАЯ МЕТОДОЛОГИЯ ИЗУЧЕНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ В РУССКОМ ЯЗЫКЕ (НА МАТЕРИАЛЕ ПРОИЗВЕДЕНИЙ М. ЦВЕТАЕВОЙ, О. МАНДЕЛЬШТАМА, А. АХМАТОВОЙ, Н. ГУМИЛЕВА, Б. ПАСТЕРНАКА) Комиссарова Л.М. диссертация на соискание ученой степени кандидата филологических наук / Барнаул, 2002
# КОНЦЕПТ ЯЗЫКОВОЙ ЛИЧНОСТИ В АНГЛИЙСКОМ ЯЗЫКЕ В СОПОСТАВЛЕНИИ С РУССКИМ ЯЗЫКОМ (НА ПРИМЕРЕ АНАЛИЗА ВАРИАНТОВ ПЕРЕВОДОВ ПЬЕСЫ Б. ШОУ "ПИГМАЛИОН") Ишкова Т.Н. диссертация на соискание ученой степени кандидата филологических наук / Омск, 2002
# ГЕНДЕРНЫЙ ДИСКУРС-АНАЛИЗ РЕЧЕВЫХ СТРАТЕГИЙ ЖЕНСКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ РУССКОЙ И АНГЛИЙСКОЙ ДИАЛОГИЧЕСКОЙ РЕЧИ) Прокудина О.Н. диссертация на соискание ученой степени кандидата филологических наук / Кемерово, 2002
# ФЕНОМЕН ДИАЛЕКТНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Иванцова Е.В. диссертация на соискание ученой степени доктора филологических наук / Национальный исследовательский Томский государственный университет. Томск, 2002
''2003 год''
# НАЦИОНАЛЬНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ В СРАВНИТЕЛЬНО-СОПОСТАВИТЕЛЬНОМ ЛИНГВОКУЛЬТУРОЛОГИЧЕСКОМ ОПИСАНИИ (НА МАТЕРИАЛЕ РУССКОЙ И ВЬЕТНАМСКОЙ КУЛЬТУР) Ле Дык Тху диссертация на соискание ученой степени доктора филологических наук / Москва, 2003
# РУССКАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ (КОДЫ ОБРАЗНОЙ ВЕРБАЛИЗАЦИИ ТЕЗАУРУСА) Шестак Л.А. диссертация на соискание ученой степени доктора филологических наук / Волгоградский государственный социально-педагогический университет. Волгоград, 2003
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ИВАНА IV (НА МАТЕРИАЛЕ ДОКУМЕНТОВ XVI - XVII ВЕКОВ) Шилина С.А. диссертация на соискание ученой степени кандидата филологических наук / Брянск, 2003
# ФРАЗОВАЯ НОМИНАЦИЯ КАК СРЕДСТВО ВЫРАЖЕНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ АВТОРА (НА МАТЕРИАЛЕ ЯЗЫКА ХУДОЖЕСТВЕННОЙ ЛИТЕРАТУРЫ) Фрикке Я.А. диссертация на соискание ученой степени кандидата филологических наук / Ставрополь, 2003
# СЛЕНГ КАК СОСТАВЛЯЮЩАЯ ЯЗЫКОВОЙ ЛИЧНОСТИ ПОДРОСТКА Титоренко М.Ю. диссертация на соискание ученой степени кандидата филологических наук / Москва, 2003
# ЛАКУНЫ В СТРУКТУРЕ ЯЗЫКОВОЙ ЛИЧНОСТИ И ИХ ЗАПОЛНЕНИЕ В МЕЖКУЛЬТУРНОЙ КОММУНИКАЦИИ (НА ПРИМЕРЕ АНГЛИЙСКОГО И РУССКОГО ЯЗЫКОВ) Эйнуллаева Е.А. диссертация на соискание ученой степени кандидата филологических наук / Московский государственный лингвистический университет. Москва, 2003
''2004 год''
# ПСИХОЛИНГВИСТИЧЕСКАЯ КОНЦЕПЦИЯ ГЕНДЕРНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Фомин А.Г. диссертация на соискание ученой степени доктора филологических наук / Алтайский государственный университет. Барнаул, 2004
# РАЗВИТИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ И ЕЕ КОММУНИКАТИВНОГО СОЗНАНИЯ (НА МАТЕРИАЛЕ РЕЧЕВОГО ПОВЕДЕНИЯ МЛАДШЕГО ШКОЛЬНИКА) Лемяскина Н.А. диссертация на соискание ученой степени доктора филологических наук / Воронеж, 2004
# ЯЗЫКОВАЯ ЛИЧНОСТЬ: ЛИНГВИСТИЧЕСКИЙ И ПСИХОЛОГИЧЕСКИЙ АСПЕКТЫ (НА МАТЕРИАЛЕ РОМАНА "БЕСЫ" И "ДНЕВНИКА ПИСАТЕЛЯ" Ф.М. ДОСТОЕВСКОГО) Залогина Е.М.диссертация на соискание ученой степени кандидата филологических наук / Санкт-Петербург, 2004
# ЯЗЫКОВАЯ ЛИЧНОСТЬ УЧЕНОГО В ЭПИСТОЛЯРНЫХ ТЕКСТАХ (НА МАТЕРИАЛЕ ПИСЕМ Ю.М. ЛОТМАНА) Парсамова В.Я. -диссертация на соискание ученой степени кандидата филологических наук / Саратов, 2004
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ПИСАТЕЛЯ КАК ИСТОЧНИК РЕЧЕВЫХ ХАРАКТЕРИСТИК ПЕРСОНАЖЕЙ (ПО МАТЕРИАЛАМ ПРОИЗВЕДЕНИЙ Б. АКУНИНА) Менькова Н.Н. диссертация на соискание ученой степени кандидата филологических наук / Москва, 2004
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ИВАНА ГРОЗНОГО (НА МАТЕРИАЛЕ ДЕЛОВЫХ ПОСЛАНИЙ) Попова О.В. диссертация на соискание ученой степени кандидата филологических наук / Омск, 2004
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ЛИНГВИСТИЧЕСКИЙ И ПСИХОЛОГИЧЕСКИЙ АСПЕКТЫ (НА МАТЕРИАЛЕ РОМАНА "БЕСЫ" И "ДНЕВНИКА ПИСАТЕЛЯ" Ф.М. ДОСТОЕВСКОГО) Залогина Е.М. автореферат дис. ... кандидата филологических наук / Рос. гос. пед. ун-т им. А.И. Герцена. Санкт-Петербург, 2004
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ДИАЛЕКТОНОСИТЕЛЯ В ЖАНРОВОМ АСПЕКТЕ Казакова О.А. диссертация на соискание ученой степени кандидата филологических наук / Томск, 2004
# ЯЗЫКОВАЯ ЛИЧНОСТЬ В ЭЛЕКТРОННОМ ГИПЕРТЕКСТЕ (НА МАТЕРИАЛЕ ЭКСПРЕССИВНОГО СИНТАКСИСА ВЕДУЩИХ ЭЛЕКТРОННЫХ ЖАНРОВ) Левоненко О.А. диссертация на соискание ученой степени кандидата филологических наук / Таганрог, 2004
# СРАВНЕНИЯ В РЕЧИ ДИАЛЕКТНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Волкова Т.Ф. диссертация на соискание ученой степени кандидата филологических наук / Национальный исследовательский Томский государственный университет. Томск, 2004
# ЛИНГВОРИТОРИЧЕСКИЕ ПАРАМЕТРЫ ИДИОСТИЛЯ КАК ВЫРАЖЕНИЕ МЕНТАЛИТЕТА ЯЗЫКОВОЙ ЛИЧНОСТИ УЧЕНОГО (А.Ф. ЛОСЕВ) Дружинина В.В. диссертация на соискание ученой степени кандидата филологических наук / Сочинский государственный университет. Сочи, 2004
# ЛИНГВОКУЛЬТУРОЛОГИЧЕСКОЕ ИССЛЕДОВАНИЕ НАЦИОНАЛЬНОЙ (РУССКОЙ) ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ АФОРИСТИКИ) Василюк И.П. диссертация на соискание ученой степени кандидата филологических наук / Москва, 2004
# ЛЕКСИЧЕСКИЕ ЗАИМСТВОВАНИЯ В ПЕТРОВСКУЮ ЭПОХУ И ЯЗЫКОВАЯ ЛИЧНОСТЬ (НА МАТЕРИАЛЕ ИСТОРИКО-БИОГРАФИЧЕСКОЙ ПРОЗЫ КНЯЗЯ Б.И. КУРАКИНА) Ясинская М.Б. диссертация на соискание ученой степени кандидата филологических наук / Москва, 2004
# ИССЛЕДОВАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ СОСТАВИТЕЛЯ "ПОВЕСТИ ВРЕМЕННЫХ ЛЕТ" Аникин Д.В. диссертация на соискание ученой степени кандидата филологических наук / Барнаул, 2004
# ДИАЛОГ КУЛЬТУР В СТРУКТУРЕ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ ПОЭЗИИ Б. ГРЕБЕНЩИКОВА) Колчина О.Н. диссертация на соискание ученой степени кандидата филологических наук / Нижний Новгород, 2004
# АРГУМЕНТАТИВНЫЕ СТРАТЕГИИ ЯЗЫКОВОЙ ЛИЧНОСТИ СЕВЕРОАМЕРИКАНСКОГО ПОЛИТИКА (НА МАТЕРИАЛЕ ДИСКУРСА Г. КИССИНДЖЕРА) Мордовин А.Ю. диссертация на соискание ученой степени кандидата филологических наук / Иркутск, 2004
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ГОСУДАРСТВЕННОГО СЛУЖАЩЕГО: ДИСКУРСИВНАЯ ПРАКТИКА, ТИПОЛОГИЯ, МЕХАНИЗМЫ ФОРМИРОВАНИЯ Панова М.Н. диссертация на соискание ученой степени доктора филологических наук / Москва, 2004
# СЛОВОТВОРЧЕСТВО КАК ФЕНОМЕН ЯЗЫКОВОЙ ЛИЧНОСТИ (ПОРОЖДЕНИЕ, ФУНКЦИОНИРОВАНИЕ, УЗУАЛИЗАЦИЯ НОВОГО СЛОВА) Плотникова Л.И. диссертация на соискание ученой степени доктора филологических наук / Белгород, 2004
''2005 год''
# АСИММЕТРИЯ СТРУКТУРЫ ЯЗЫКОВОЙ ЛИЧНОСТИ В РУССКОМ И АНГЛИЙСКОМ ВАРИАНТАХ МОРСКОГО ПРОФЕССИОНАЛЬНОГО ЯЗЫКА [[Солнышкина М.И.]] диссертация на соискание ученой степени доктора филологических наук / Казанский (Приволжский) федеральный университет. Казань, 2005
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ПЕРЕВОДЧИКА (НА МАТЕРИАЛЕ ДИСКУРСА Б.В. ЗАХОДЕРА) Шевченко О.Н. диссертация на соискание ученой степени кандидата филологических наук / Волгоградский государственный педагогический университет. Волгоград, 2005
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ПЕРСОНАЖА В АСПЕКТЕ ПСИХОПОЭТИКИ (НА МАТЕРИАЛЕ РОМАНА Л.Н. ТОЛСТОГО "АННА КАРЕНИНА") Богомолов А.Ю. диссертация на соискание ученой степени кандидата филологических наук / Череповечкий государственный университет. Череповец, 2005
# СИНЕРГЕТИКА КОНЦЕПТОСФЕРЫ С.Т. АКСАКОВА КАК РУССКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ В ДИЛОГИИ СЕМЕЙНАЯ ХРОНИКА И ДЕТСКИЕ ГОДЫ БАГРОВА-ВНУКА Кузьмина Г.Ш. диссертация на соискание ученой степени кандидата филологических наук / Башкирский государственный университет. Уфа, 2005
# ПРОФЕССИОНАЛИЗАЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА ПРИМЕРЕ ЮРИДИЧЕСКОГО ДИСКУРСА) Кубиц Г.В. диссертация на соискание ученой степени кандидата филологических наук / Челябинск, 2005
# НАИВНОЕ ЛИТЕРАТУРОВЕДЕНИЕ В ЛЕКСИКОНЕ ЯЗЫКОВОЙ ЛИЧНОСТИ Швец А.В. диссертация на соискание ученой степени кандидата филологических наук / Санкт-Петербург, 2005
# ЛЕКСИЧЕСКИЕ ЕДИНИЦЫ СО ВТОРИЧНО-НОМИНАТИВНЫМ ЗНАЧЕНИЕМ В АССОЦИАТИВНОМ ПОЛЕ РУССКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Доменко Н.В. диссертация на соискание ученой степени кандидата филологических наук / Москва, 2005
# ЭТНОКУЛЬТУРНЫЕ ХАРАКТЕРИСТИКИ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ ФРАНЦУЗСКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ) Седых А.П. диссертация на соискание ученой степени доктора филологических наук / Белгород, 2005
''2006 год''
# ЯЗЫКОВАЯ ЛИЧНОСТЬ: ЭТНИЧЕСКИЙ АСПЕКТ (НА МАТЕРИАЛЕ БУРЯТСКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ) Шойсоронова Е.С. диссертация на соискание ученой степени кандидата филологических наук / Улан-Удэ, 2006
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ЭТНИЧЕСКИЙ АСПЕКТ (НА МАТЕРИАЛЕ БУРЯТСКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ)Шойсоронова Е.С. автореферат дис. ... кандидата филологических наук / Бурятский государственный университет. Улан-Удэ, 2006
# ТЕКСТЫ НОРМАТИВНО-ПРАВОВЫХ ДОКУМЕНТОВ В АСПЕКТЕ ЯЗЫКОВОЙ ЛИЧНОСТИ ЗАКОНОДАТЕЛЯ (НА МАТЕРИАЛЕ НОРМАТИВНО-ПРАВОВЫХ АКТОВ АЛТАЙСКОГО КРАЯ) Маланина Н.В. диссертация на соискание ученой степени кандидата филологических наук / Барнаул, 2006
# ХУДОЖЕСТВЕННО-РЕЧЕВОЕ СВОЕОБРАЗИЕ ВОЕННЫХ ПОВЕСТЕЙ 1941-1945 ГОДОВ КАК ПРОЯВЛЕНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ АВТОРОВ Арсланбекова З.Ш. диссертация на соискание ученой степени кандидата филологических наук / Махачкала, 2006
# ОБЩЕЕ И РАЗЛИЧНОЕ В СТРУКТУРЕ ЯЗЫКОВОЙ ЛИЧНОСТИ В РУССКОМ И АНГЛИЙСКОМ ВАРИАНТАХ ПРОФЕССИОНАЛЬНОГО СПОРТИВНОГО ЯЗЫКА Исмаева Ф.Х. диссертация на соискание ученой степени кандидата филологических наук / Казань, 2006
# ОККАЗИОНАЛЬНАЯ ФРАЗЕОЛОГИЧЕСКАЯ НОМИНАЦИЯ КАК СРЕДСТВО ВЫРАЖЕНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ АВТОРА ХУДОЖЕСТВЕННОГО ТЕКСТА Кривецкая Е.С. диссертация на соискание ученой степени кандидата филологических наук / Пятигорский государственный лингвистический университет. Пятигорск, 2006
# НАРКОЗАВИСИМЫЙ КАК ТИП ЯЗЫКОВОЙ ЛИЧНОСТИ Меркулова А.С. диссертация на соискание ученой степени кандидата филологических наук / Тамбов, 2006
# ДИНАМИЧЕСКОЕ МОДЕЛИРОВАНИЕ РУССКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Оленёв С.В. диссертация на соискание ученой степени кандидата филологических наук / Кемеровский государственный университет. Кемерово, 2006
# ВЕРБАЛИЗАТОРЫ КОНЦЕПТОВ "ВРЕМЯ" И "МЯТЕЖ" В СЛЕДСТВЕННОМ ДЕЛЕ ЕМЕЛЬЯНА ПУГАЧЕВА КАК МАТЕРИАЛ ДЛЯ ВОССОЗДАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ ПОСЛЕДНЕЙ ТРЕТИ XVIII ВЕКА Меркулова Н.В. диссертация на соискание ученой степени кандидата филологических наук / Магнитогорск, 2006
''2007 год''
# ВЕРБАЛИЗАЦИЯ МЕНТАЛЬНОГО ПРОСТРАНСТВА ЯЗЫКОВОЙ ЛИЧНОСТИ АВТОРА В ХУДОЖЕСТВЕННОМ ТЕКСТЕ (НА МАТЕРИАЛЕ ТВОРЧЕСТВА АСКЕРА ЕВТЫХА) Ахиджакова М.П. диссертация на соискание ученой степени доктора филологических наук / Кубанский государственный университет. Краснодар, 2007
# ЯЗЫКОВАЯ ЛИЧНОСТЬ СТАРШЕКЛАССНИКА В АСПЕКТЕ ЕЕ РЕЧЕВЫХ РЕАЛИЗАЦИЙ (НА МАТЕРИАЛЕ ДАННЫХ АССОЦИАТИВНОГО ЭКСПЕРИМЕНТА И СОЦИОЛЕКТА ШКОЛЬНИКОВ КРАСНОДАРА) Тарасенко Т.П. диссертация на соискание ученой степени кандидата филологических наук / Кубанский государственный университет. Краснодар, 2007
# ЭТНОПСИХОЛИНГВИСТИЧЕСКИЕ ОСОБЕННОСТИ ВОСПРИЯТИЯ ФРАНЦУЗСКОГО ХУДОЖЕСТВЕННОГО ТЕКСТА ВТОРИЧНОЙ (РУССКОЙ) ЯЗЫКОВОЙ ЛИЧНОСТЬЮ Метельская Л.Н. диссертация на соискание ученой степени кандидата филологических наук / Военный университет. Москва, 2007
# СОЦИАЛЬНАЯ СТРАТИФИКАЦИЯ ЯЗЫКА В РЕЧЕВОЙ РЕПРЕЗЕНТАЦИИ ЭЛИТАРНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ СОВРЕМЕННОЙ РУССКОЙ ПРОЗЫ) Картер Е.В. диссертация на соискание ученой степени кандидата филологических наук / Череповецкий государственный университет. Череповец, 2007
# РЕЧЕВОЙ ПОРТРЕТ КОЛЛЕКТИВНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ ШКОЛЬНИКОВ 5-7 КЛАССОВ Мамаева С.В. диссертация на соискание ученой степени кандидата филологических наук / Самарский государственный университет. Лесосибирск, 2007
# ПАРЕМИОЛОГИЧЕСКИЙ МИНИМУМ В ЛЕКСИКОНЕ ЯЗЫКОВОЙ ЛИЧНОСТИ СОВРЕМЕННЫХ УЧАЩИХСЯ Петрова Л.А. диссертация на соискание ученой степени кандидата филологических наук / Новгородский государственный университет им. Ярослава Мудрого. Великий Новгород, 2007
# ОСОБЕННОСТИ ПРОЯВЛЕНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ В ОККАЗИОНАЛЬНОМ СЛОВОТВОРЧЕСТВЕ (НА МАТЕРИАЛЕ ТЕКСТОВ В. МАЯКОВСКОГО И И. СЕВЕРЯНИНА) Сичинава Ю.Н. диссертация на соискание ученой степени кандидата филологических наук / Кубанский государственный университет. Краснодар, 2007
# ОНОМАСТИЧЕСКОЕ ПРОСТРАНСТВО КАК ПРОЯВЛЕНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ АВТОРА (НА МАТЕРИАЛЕ ПРОИЗВЕДЕНИЙ С.Н. СЕРГЕЕВА-ЦЕНСКОГО) Гончарова Н.А. диссертация на соискание ученой степени кандидата филологических наук / Тамбов, 2007
# МОЛОДЕЖНЫЙ ДИСКУРС КАК РЕАЛИЗАЦИЯ ТИПОВОЙ И ИНДИВИДУАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Чабаненко М.Г. диссертация на соискание ученой степени кандидата филологических наук / Кемеровский государственный университет. Кемерово, 2007
# ЛИНГВОКОГНИТИВНЫЙ И ПРАГМАТИЧЕСКИЙ УРОВНИ ЯЗЫКОВОЙ ЛИЧНОСТИ А.П. СТЕПАНОВА Бурмакина Н.А. диссертация на соискание ученой степени кандидата филологических наук / Тюменский государственный университет. Красноярск, 2007
# ЛЕКСИКА НАУКИ И ИСКУССТВА В СТРУКТУРЕ ЯЗЫКОВОЙ ЛИЧНОСТИ А.А. ВОЗНЕСЕНСКОГО Федотова О.В. диссертация на соискание ученой степени кандидата филологических наук / Тюменский государственный университет. Тюмень, 2007
# ЯЗЫКОВАЯ ЛИЧНОСТЬ СУДЕБНОГО ОРАТОРА АНАТОЛИЯ ФЕДОРОВИЧА КОНИ Баишева З.В. диссертация на соискание ученой степени доктора филологических наук / Башкирский государственный университет. Уфа, 2007
''2008 год''
# АМБИВАЛЕНТНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ (ЛЕКСИКА, ГРАММАТИКА, ПРАГМАТИКА) Котова Н.С. диссертация на соискание ученой степени доктора филологических наук / Кубанский государственный университет. Ростов-на-Дону, 2008
# ЯЗЫКОВАЯ ЛИЧНОСТЬ В ИНОКУЛЬТУРНОЙ СРЕДЕ (ПО ДАННЫМ РУССКОЯЗЫЧНОЙ ТЕХНИЧЕСКИ ОПОСРЕДОВАННОЙ КОММУНИКАЦИИ НОСИТЕЛЕЙ КИТАЙСКОГО ЯЗЫКА) Трубчанинова М.Е. диссертация на соискание ученой степени кандидата филологических наук / Воронежский государственный университет. Воронеж, 2008
# ЦВЕТООБОЗНАЧЕНИЯ В ЯЗЫКОВОМ СОЗНАНИИ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ РУССКОГО И ФРАНЦУЗСКОГО ЯЗЫКОВ) Петрова Е.Ю. диссертация на соискание ученой степени кандидата филологических наук / Московский государственный лингвистический университет. Москва, 2008
# ЯЗЫКОВАЯ ЛИЧНОСТЬ В УСЛОВИЯХ ФОРМИРОВАНИЯ НОРМ РУССКОГО ЛИТЕРАТУРНОГО ЯЗЫКА (ПЕРВАЯ ПОЛОВИНА XVIII ВЕКА) НА МАТЕРИАЛЕ ПИСЕМ И РАСПОРЯЖЕНИЙ А.Н. ДЕМИДОВА Иванова Е.Н. диссертация на соискание ученой степени кандидата филологических наук / Уральский федеральный университет им. первого Президента России Б.Н. Ельцина. Екатеринбург, 2008
# РОЛЬ ЯЗЫКОВОЙ ЛИЧНОСТИ В ТЕЛЕВИЗИОННОЙ РЕЧЕВОЙ КУЛЬТУРЕ Галстян С.С. диссертация на соискание ученой степени кандидата филологических наук / Институт повышения квалификации работников телевидения и радиовещания. Москва, 2008
# МОДЕЛЬ КОНФЛИКТНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ УЧАСТНИКА МАССМЕДИЙНОГО ДИСКУРСА (НА МАТЕРИАЛЕ РАДИО, ТЕЛЕВИДЕНИЯ И ИНТЕРНЕТА) Шаповалова Н.Г. диссертация на соискание ученой степени кандидата филологических наук / Саратовский государственный университет им. Н.Г. Чернышевского. Саратов, 2008
# ЛИНГВО-РИТОРИЧЕСКОЕ ОПИСАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ НА ПРИМЕРЕ ПУБЛИЧНЫХ ВЫСТУПЛЕНИЙ ПЕТЕНА И ДЕ ГОЛЛЯ ВО ВРЕМЯ ВТОРОЙ МИРОВОЙ ВОЙНЫ Дарьина Е.В. диссертация на соискание ученой степени кандидата филологических наук / Московский государственный университет им. М.В. Ломоносова (МГУ). Москва, 2008
# ИНТЕРТЕКСТУАЛЬНЫЙ ТЕЗАУРУС СОВРЕМЕННОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ ПИСЬМЕННЫХ ТЕКСТОВ СМИ, КВН И ИНТЕЛЛЕКТУАЛЬНЫХ ИГР) Соломина Н.В. диссертация на соискание ученой степени кандидата филологических наук / Уральский государственный педагогический университет. Омск, 2008
# ИЗОМОРФИЗМ И АЛЛОМОРФИЗМ ВЕРБАЛЬНО-СЕМАНТИЧЕСКОГО УРОВНЯ ЯЗЫКОВОЙ ЛИЧНОСТИ РУССКОЯЗЫЧНОГО И НЕМЕЦКОЯЗЫЧНОГО ЧАТ-КОММУНИКАНТА (НА МАТЕРИАЛЕ ЧАТОВ ОБЩЕЙ ТЕМАТИКИ) Амурская О.Ю. диссертация на соискание ученой степени кандидата филологических наук / Татарский государственный гуманитарно-педагогический университет. Казань, 2008
# ВЗАИМОДЕЙСТВИЕ ЯЗЫКОВЫХ ЛИЧНОСТЕЙ ПРИ ПОЭТИЧЕСКОМ ПЕРЕВОДЕ (НА МАТЕРИАЛЕ АНГЛИЙСКОГО И РУССКОГО ЯЗЫКОВ) Салахитдинова Э.Д. автореферат дис. ... кандидата филологических наук / Киргизско-Российский славянский университет. Бишкек, 2008
''2009 год''
# ЯЗЫКОВАЯ ЛИЧНОСТЬ В ПОЭТИЧЕСКОМ ИДИОЛЕКТЕ ГЕОРГИЯ ИВАНОВА Кац Е.А. диссертация на соискание ученой степени кандидата филологических наук / Московский государственный университет им. М.В. Ломоносова (МГУ). Москва, 2009
# ЯЗЫКОВАЯ ЛИЧНОСТЬ В ПУБЛИЦИСТИЧЕСКОМ ДИСКУРСЕ (НА МАТЕРИАЛЕ НЕМЕЦКИХ ЖУРНАЛЬНЫХ ТЕКСТОВ) Дедюкова М.В. диссертация на соискание ученой степени кандидата филологических наук / Московский государственный университет им. М.В. Ломоносова (МГУ). Москва, 2009
# ЭСТЕТИЧЕСКАЯ ОЦЕНКА В МИРЕ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ ТВОРЧЕСТВА Л.Н. ТОЛСТОГО) Алексеева В.Е. диссертация на соискание ученой степени кандидата филологических наук / Институт языкознания Российской академии наук. Москва, 2009
# ТРАДИЦИОННАЯ РУССКАЯ ФРАЗЕОЛОГИЯ В ЯЗЫКОВОЙ ЛИЧНОСТИ СОВРЕМЕННЫХ ШКОЛЬНИКОВ И ПРОБЛЕМЫ СОЗДАНИЯ КОМПЛЕКСНОГО УЧЕБНОГО ФРАЗЕОЛОГИЧЕСКОГО СЛОВАРЯ Андронова Е.В. диссертация на соискание ученой степени кандидата филологических наук / Воронежский государственный университет. Воронеж, 2009
# САМОПРЕЗЕНТАЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ В НЕМЕЦКОМ МОЛОДЕЖНОМ ЧАТ-ДИСКУРСЕ: СОБСТВЕННО МОЛОДЕЖНОЕ И НАЦИОНАЛЬНО-СПЕЦИФИЧЕСКОЕ Цибизов К.С. диссертация на соискание ученой степени кандидата филологических наук / Саратовский государственный университет им. Н.Г. Чернышевского. Саратов, 2009
# ЭВОЛЮЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТА В БИЛИНГВОМЕНТАЛЬНОМ ПРОСТРАНСТВЕ УЧЕБНОГО ДИСКУРСА Шаброва Н.С. диссертация на соискание ученой степени кандидата филологических наук / Кубанский государственный университет. Тюмень, 2009
# КОМПОНЕНТЫ КОНЦЕПТОСФЕРЫ ЯЗЫКОВОЙ ЛИЧНОСТИ СМЕРДЯКОВА И ОСОБЕННОСТИ ЕЁ ДИСКУРСИВНОЙ РЕАЛИЗАЦИИ В РОМАНЕ Ф.М. ДОСТОЕВСКОГО "БРАТЬЯ КАРАМАЗОВЫ" Луговская Е.Г. диссертация на соискание ученой степени кандидата филологических наук / Российский университет дружбы народов (РУДН). Тирасполь, 2009
# СПЕЦИФИКА ЭЛИТАРНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ В ЭПИСТОЛЯРНОМ ДИАЛОГЕ (М. ЦВЕТАЕВА И Б. ПАСТЕРНАК) Сулейманова М.А. диссертация на соискание ученой степени кандидата филологических наук / Дагестанский государственный педагогический университет. Махачкала, 2009
# РУССКИЙ РЕЛИГИОЗНО-ФИЛОСОФСКИЙ ДИСКУРС НАЧАЛА XX В.: ЛИНГВОРИТОРИЧЕСКИЕ ПАРАМЕТРЫ ГРУППОВОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ СБОРНИКА СТАТЕЙ "ИЗ ГЛУБИНЫ", 1918 Г.) Анистратенко И.В. диссертация на соискание ученой степени кандидата филологических наук / Кабардино-Балкарский государственный университет им. Х.М. Бербекова. Сочи, 2009
# РУССКАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ В АСПЕКТЕ ЛИНГВОКОГНИТИВНЫХ СТИЛЕЙ РЕПРОДУЦИРОВАНИЯ НАУЧНОГО ТЕКСТА (НА МАТЕРИАЛЕ СТУДЕНЧЕСКИХ РЕФЕРАТОВ) Прокудина И.С. диссертация на соискание ученой степени кандидата филологических наук / Кемеровский государственный университет. Кемерово, 2009
# ЛИНГВОКРЕАТИВНАЯ СПОСОБНОСТЬ ЯЗЫКОВОЙ ПОЭТИЧЕСКОЙ ЛИЧНОСТИ: ПРОЦЕССЫ НЕОЛОГИЗАЦИИ В РУССКОЙ ПОЭЗИИ XX ВЕКА (НА МАТЕРИАЛЕ ТВОРЧЕСТВА В.В. ХЛЕБНИКОВА, А.Е. КРУЧЕНЫХ, А.А. ВОЗНЕСЕНСКОГО И Г.В. САПГИРА) Морозов Д.О. диссертация на соискание ученой степени кандидата филологических наук / Уральский государственный университет им. А.М. Горького. Екатеринбург, 2009
# ДИСКУРС СОВРЕМЕННОЙ ПРЕССЫ КАК СМЫСЛОВОЕ ПОЛЕ ФОРМИРОВАНИЯ ЦЕННОСТНЫХ ОРИЕНТИРОВ КОЛЛЕКТИВНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (МИКРОКОНЦЕПТОСФЕРА "БОГАТСТВО") Зубарев С.В. диссертация на соискание ученой степени кандидата филологических наук / Кабардино-Балкарский государственный университет им. Х.М. Бербекова. Сочи, 2009
# ДИНАМИЧЕСКИЕ ПРОЦЕССЫ В ЛЕКСИКОНЕ ЯЗЫКОВОЙ ЛИЧНОСТИ Гончарова Е.А. диссертация на соискание ученой степени кандидата филологических наук / Новосибирский государственный педагогический университет. Новосибирск, 2009
# ГЕРОЙ РАССКАЗОВ В. ШУКШИНА КАК НАЦИОНАЛЬНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ Лю Лицзюнь диссертация на соискание ученой степени кандидата филологических наук / Санкт-Петербургский государственный университет. Санкт-Петербург, 2009
# АРГУМЕНТАТИВНЫЕ СТРАТЕГИИ БРИТАНСКОГО ПОЛИТИКА (НА ПРИМЕРЕ ЯЗЫКОВОЙ ЛИЧНОСТИ ПРЕМЬЕР-МИНИСТРА Т. БЛЭРА) Петрухина О.П. диссертация на соискание ученой степени кандидата филологических наук / Иркутский государственный лингвистический университет. Абакан, 2009
''2010 год''
# ЯЗЫКОВАЯ КАРТИНА МИРА В СТРУКТУРЕ РЕЧЕМЫСЛИТЕЛЬНОЙ ДЕЯТЕЛЬНОСТИ РУССКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ СОЧИНЕНИЙ ПО КАРТИНЕ В.А. СЕРОВА "ДЕВОЧКА С ПЕРСИКАМИ") Шпильная Н.Н. диссертация на соискание ученой степени кандидата филологических наук / Кемеровский государственный университет. Кемерово, 2010
# ЦЕЛОСТНОСТЬ ЯЗЫКОВОЙ ЛИЧНОСТИ: ФУНКЦИОНАЛЬНО-ПРАГМАТИЧЕСКИЙ И РИТОРИЧЕСКИЙ АСПЕКТЫ (НА МАТЕРИАЛЕ РЕЧЕЙ ПРЕЗИДЕНТА США Ф.Д. РУЗВЕЛЬТА) Базалук Е.И. диссертация на соискание ученой степени кандидата филологических наук / Ставропольский государственный университет. Краснодар, 2010
# ФРАЗЕОЛОГИЗМЫ КАК СПОСОБ РЕПРЕЗЕНТАЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ АВТОРА ХУДОЖЕСТВЕННОГО ТЕКСТА (НА МАТЕРИАЛЕ РОМАНА ДЖ. ГОЛСУОРСИ "СОБСТВЕННИК") Лысенко В.Л. диссертация на соискание ученой степени кандидата филологических наук / Адыгейский государственный университет. Майкоп, 2010
# СПЕЦИФИКА РЕАЛИЗАЦИИ КОНЦЕПТУАЛЬНОГО ПРЕДСТАВЛЕНИЯ "ДРУЖБА" В СОЗНАНИИ ЯЗЫКОВОЙ ЛИЧНОСТИ Масгутова М.Ф. Диссертация на соискание ученой степени кандидата филологических наук / Челябинский государственный университет. Челябинск, 2010
# РУССКИЙ ЯЗЫК КАК ФАКТОР ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ ДАГЕСТАНЦА-БИЛИНГВА Юнусова К.А. диссертация на соискание ученой степени кандидата филологических наук / Дагестанский государственный педагогический университет. Махачкала, 2010
# РЕЧЕВЫЕ ОСОБЕННОСТИ ПОЛИТИКА КАК СИЛЬНОЙ/СЛАБОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ: ЛИНГВОПРАГМАТИЧЕСКИЙ И ЛИНГВОКУЛЬТУРНЫЙ АСПЕКТЫ (НА МАТЕРИАЛЕ РУССКОГО И АНГЛИЙСКОГО ЯЗЫКОВ) Тхакушинова Ж.Б. диссертация на соискание ученой степени кандидата филологических наук / Адыгейский государственный университет. Краснодар, 2010
# МОЛЧАНИЕ И СРАВНЕНИЕ КАК ЭЛЕМЕНТЫ ИДИОСТИЛЯ ЯЗЫКОВОЙ ЛИЧНОСТИ А.П. НЕРКАГИ (НА МАТЕРИАЛЕ ПОВЕСТЕЙ "АНИКО ИЗ РОДА НОГО", "ИЛИР", "БЕЛЫЙ ЯГЕЛЬ", "МОЛЧАЩИЙ") Третьякова Н.Ю. диссертация на соискание ученой степени кандидата филологических наук / Тюменский государственный университет. Тюмень, 2010
# ГЛАГОЛ КАК СРЕДСТВО РЕПРЕЗЕНТАЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ ПЕРСОНАЖА (НА МАТЕРИАЛЕ РОМАНА Ф.М. ДОСТОЕВСКОГО "ПРЕСТУПЛЕНИЕ И НАКАЗАНИЕ") Никандрова И.А. диссертация на соискание ученой степени кандидата филологических наук / Московский государственный гуманитарный университет им. М.А. Шолохова. Коломна, 2010
# ВТОРИЧНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ В ОНТОГЕНЕЗЕ: УРОВНИ ЛИНГВОКУЛЬТУРОЛОГИЧЕСКОГО ОПИСАНИЯ (НА МАТЕРИАЛЕ НАЧАЛЬНОГО ЭТАПА ОБУЧЕНИЯ АНГЛИЙСКОМУ ЯЗЫКУ РУССКОЯЗЫЧНЫХ УЧАЩИХСЯ) Мамонтова Н.А. диссертация на соискание ученой степени кандидата филологических наук / Военный университет. Москва, 2010
# АКСИОЛОГИЧЕСКАЯ МОДЕЛЬ ЯЗЫКОВОЙ ЛИЧНОСТИ В ДРУЖЕСКОМ ЭПИСТОЛЯРНОМ ДИСКУРСЕ (НА МАТЕРИАЛЕ ПИСЕМ ШВЕЙЦАРСКОГО ПИСАТЕЛЯ XX ВЕКА МАКСА ФРИША) Фокина К.В. диссертация на соискание ученой степени кандидата филологических наук / Саратовский государственный университет им. Н.Г. Чернышевского. Саратов, 2010
# РУССКАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ ПРОФЕССИОНАЛЬНОГО ПЕРЕВОДЧИКА Бушев А.Б. диссертация на соискание ученой степени доктора филологических наук / Государственный институт русского языка. Москва, 2010
''2011 год''
# ЯЗЫКОВАЯ ЛИЧНОСТЬ СУБЪЕКТА БЛОГ-ДИСКУРСА (ЛИНГВОКОГНИТИВНЫЙ АСПЕКТ) Гермашева Т.М. диссертация на соискание ученой степени кандидата филологических наук / Кабардино-Балкарский государственный университет им. Х.М. Бербекова. Ростов-на-Дону, 2011
# ЯЗЫКОВАЯ ЛИЧНОСТЬ СТУДЕНТА ПОЛИЭТНИЧЕСКОГО ВУЗА Фомина Ю.С. диссертация на соискание ученой степени кандидата филологических наук / Башкирский государственный университет. Уфа, 2011
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ПОЛИТИЧЕСКОГО ДЕЯТЕЛЯ: ДИСКУРСИВНЫЕ ХАРАКТЕРИСТИКИ (НА МАТЕРИАЛЕ РЕЧЕЙ УИНСТОНА ЧЕРЧИЛЛЯ) Кричун Ю.А. диссертация на соискание ученой степени кандидата филологических наук / Кубанский государственный университет. Краснодар, 2011
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ПЕРСОНАЖА ЛИТЕРАТУРНОГО ПРОИЗВЕДЕНИЯ И ПСИХОТИП ЧЕЛОВЕКА (НА ПРИМЕРЕ ПРОИЗВЕДЕНИЙ М.А. БУЛГАКОВА) Смирнова А.А. диссертация на соискание ученой степени кандидата филологических наук / Московский государственный областной университет. Москва, 2011
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ПЕРСОНАЖА: ОБЩЕЕ И РАЗЛИЧНОЕ В КАТЕГОРИЗАЦИИ ВЕЖЛИВОСТИ (НА МАТЕРИАЛЕ ОРИГИНАЛА И ПЕРЕВОДА РОМАНА И.С. ТУРГЕНЕВА "ОТЦЫ И ДЕТИ" НА АНГЛИЙСКИЙ ЯЗЫК) Гарипова Г.Ш. диссертация на соискание ученой степени кандидата филологических наук / Татарский государственный гуманитарно-педагогический университет. Казань, 2011
# ЯЗЫКОВАЯ И ЛИТЕРАТУРНАЯ ЛИЧНОСТЬ А. ГАЙДАРА В ЛИНГВОРИТОРИЧЕСКИХ ПАРАМЕТРАХ СОВЕТСКОГО ХУДОЖЕСТВЕННО-ИДЕОЛОГИЧЕСКОГО ДИСКУРСА Субботина И.К. диссертация на соискание ученой степени кандидата филологических наук / Кабардино-Балкарский государственный университет им. Х.М. Бербекова. Сочи, 2011
#ТРАНСФОРМАЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ В ИНТЕРНЕТ-КОММУНИКАЦИИ (НА ПРИМЕРЕ ФРАНЦУЗСКОЙ БЛОГОСФЕРЫ) Казнова Н.Н. диссертация на соискание ученой степени кандидата филологических наук / Пермский государственный национальный исследовательский университет. Пермь, 2011
# СИММЕТРИЯ И АСИММЕТРИЯ ТЕЗАУРУСНОГО УРОВНЯ ЯЗЫКОВОЙ ЛИЧНОСТИ МУЗЫКАНТА (НА МАТЕРИАЛЕ РУССКОГО И НЕМЕЦКОГО ЯЗЫКОВ) Мутигуллина Э.Н. диссертация на соискание ученой степени кандидата филологических наук / Казан. (Приволж.) федер. ун-т. Казань, 2011
# ЛИНГВОКОГНИТИВНЫЕ СПОСОБЫ ЭКСПЛИКАЦИИ МЕНТАЛЬНОСТИ ЯЗЫКОВОЙ ЛИЧНОСТИ ДЖОНА ГОЛСУОРСИ (НА МАТЕРИАЛЕ РОМАНА "САГА О ФОРСАЙТАХ") Хакуй М.А. диссертация на соискание ученой степени кандидата филологических наук / Адыгейский государственный университет. Майкоп, 2011
# СИЛЬНАЯ/СЛАБАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ: КОММУНИКАТИВНО-ПРАГМАТИЧЕСКИЕ ХАРАКТЕРИСТИКИ (НА МАТЕРИАЛЕ ТЕКСТОВ Д. КАРНЕГИ) Кадилина О.А. диссертация на соискание ученой степени кандидата филологических наук / Кубанский государственный университет. Краснодар, 2011
# ЛИНГВОПРАГМАТИЧЕСКИЕ И КОГНИТИВНЫЕ АСПЕКТЫ РЕПРЕЗЕНТАЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ В ХУДОЖЕСТВЕННОМ ОПИСАНИИ ПРИРОДЫ Куршакова Т.Д. диссертация на соискание ученой степени кандидата филологических наук / Кубанский государственный университет. Краснодар, 2011
# КОНЦЕПТУАЛЬНАЯ РЕПРЕЗЕНТАЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТА СРЕДНЕГО ПРОФЕССИОНАЛЬНОГО ОБРАЗОВАНИЯ (КОГНИТИВНЫЙ И ПРАГМАТИЧЕСКИЙ УРОВНИ) Демидова Т.В. диссертация на соискание ученой степени кандидата филологических наук / Адыгейский государственный университет. Майкоп, 2011
# КОММУНИКАТИВНЫЕ НЕУДАЧИ В ДИАЛОГИЧЕСКОМ ОБЩЕНИИ В СООТНЕСЕННОСТИ С КОММУНИКАТИВНЫМИ ЗАКОНАМИ И ТИПАМИ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ НЕМЕЦКОГО ЯЗЫКА) Шпомер Е.А. диссертация на соискание ученой степени кандидата филологических наук / Барнаульский государственный педагогический университет. Абакан, 2011
# ИНСТИТУЦИОНАЛЬНЫЙ ЛИЧНОСТНО-ОРИЕНТИРОВАННЫЙ КОНЦЕПТ ДЕСТРУКТИВНАЯ ЛИЧНОСТЬ И ЕГО ЯЗЫКОВАЯ РЕПРЕЗЕНТАЦИЯ В ХУДОЖЕСТВЕННОМ ТЕКСТЕ Борисов П.М. диссертация на соискание ученой степени кандидата филологических наук / Московский государственный областной университет. Москва, 2011
''2012 год''
# АМЕРИКАНСКАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ В КУЛЬТУРНО-ИСТОРИЧЕСКОМ ПРОСТРАНСТВЕ США XX ВЕКА (ОПЫТ ПРОТОТИПИЧЕСКОГО ПОДХОДА) Ма Т.Ю. диссертация на соискание ученой степени доктора филологических наук / Федеральное государственное образовательное учреждение высшего профессионального образования "Московский государственный университет". Москва, 2012
# ЯЗЫКОВАЯ ЛИЧНОСТЬ В КОНТЕКСТЕ ЯЗЫКОВОЙ ИГРЫ (НА МАТЕРИАЛЕ РОССИЙСКИХ ТОК-ШОУ) Бирюкова Е.О. диссертация на соискание ученой степени кандидата филологических наук / Вологодский государственный педагогический университет. Череповец, 2012
# ЭЛИТАРНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ В ПРОФЕССИОНАЛЬНОМ ДИСКУРСЕ Силантьева М.С. автореферат диссертации на соискание ученой степени кандидата филологических наук / Пермский государственный национальный исследовательский университет. Пермь, 2012
# ЯЗЫКОВАЯ ЛИЧНОСТЬ БЫВШЕГО СЕЛЬСКОГО ЖИТЕЛЯ Власкова М.В. диссертация на соискание ученой степени кандидата филологических наук / Вятский государственный гуманитарный университет. Арзамас, 2012
# ЭЛИТАРНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ В ПРОФЕССИОНАЛЬНОМ ДИСКУРСЕ Силантьева М.С. диссертация на соискание ученой степени кандидата филологических наук / Пермский государственный национальный исследовательский университет. Пермь, 2012
# ОСОБЕННОСТИ РЕПРЕЗЕНТАЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ ПОДРОСТКА: ЛИНГВО-ПРАГМАТИЧЕСКИЙ АСПЕКТ (НА МАТЕРИАЛЕ СОВРЕМЕННЫХ АНГЛОЯЗЫЧНЫХ УЧЕБНО-МЕТОДИЧЕСКИХ КОМПЛЕКСОВ И ХУДОЖЕСТВЕННОЙ ЛИТЕРАТУРЫ О ПОДРОСТКАХ) Строгонова О.Л. диссертация на соискание ученой степени кандидата филологических наук / Московский государственный университет им. М.В. Ломоносова (МГУ). Москва, 2012
# НОМИНАТИВНАЯ ЛИЧНОСТЬ КАК РЕАЛИЗАЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ (ОПЫТ ЭКСПЕРИМЕНТАЛЬНОГО ИССЛЕДОВАНИЯ) Гафурова М.Н. диссертация на соискание ученой степени кандидата филологических наук / Уральский федеральный университет имени первого Президента России Б.Н. Ельцина. Екатеринбург, 2012
# ЛИНГВОКОГНИТИВНАЯ ПРИРОДА КОНЦЕПТА "ИСКУССТВО" ЯЗЫКОВОЙ ЛИЧНОСТИ АВТОРА (НА МАТЕРИАЛЕ ХУДОЖЕСТВЕННЫХ ТЕКСТОВ ДЖ. ФАУЛЗА "КОЛЛЕКЦИОНЕР", "ВОЛХВ", "ЛЮБОВНИЦА ФРАНЦУЗСКОГО ЛЕЙТЕНАНТА") Малова Н.Е. диссертация на соискание ученой степени кандидата филологических наук / Адыгейский государственный университет. Майкоп, 2012
# КОММУНИКАТИВНАЯ МОДЕЛЬ РАЗВИТИЯ ПРОБЛЕМЫ КАК ОТРАЖЕНИЕ МЫСЛИТЕЛЬНОГО СТИЛЯ ЯЗЫКОВОЙ ЛИЧНОСТИ ЧЕРЕЗ ПРИЗМУ ОТВЕТНОГО ПРОСТРАНСТВА ИНТЕРВЬЮ Скворцова В.А. диссертация на соискание ученой степени кандидата филологических наук / Адыгейский государственный университет. Краснодар, 2012
# ИЗОБРАЖЕНИЕ ФРУСТРИРУЮЩЕЙ ЯЗЫКОВОЙ ЛИЧНОСТИ В РУССКИХ ХУДОЖЕСТВЕННЫХ И ЭПИСТОЛЯРНЫХ ТЕКСТАХ Колышкина И.М. диссертация на соискание ученой степени кандидата филологических наук / Тамбовский государственный университет им. Г.Р. Державина. Липецк, 2012
# ДИАЛЕКТНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ НА АЛТАЕ Прокофьева Е.В. диссертация на соискание ученой степени кандидата филологических наук / Алтайский государственный университет. Барнаул, 2012
# СИНТАКСИЧЕСКАЯ ХАРАКТЕРИСТИКА ЯЗЫКОВОЙ ЛИЧНОСТИ Шаталова О.В. диссертация на соискание ученой степени доктора филологических наук / Елецкий государственный университет им. И.А. Бунина. Елец, 2012
''2013 год''
# ЗНАКИ АВТОРСТВА КАК СРЕДСТВА ВЕРБАЛЬНОЙ МАНИФЕСТАЦИИ СМЫСЛОВОЙ СФЕРЫ ТВОРЧЕСКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИЧетверикова О.В. диссертация ... доктора филологических наук : 10.02.19 / Тверской государственный университет. Тверь, 2013
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ПЕДАГОГА: СТАТИКА И ДИНАМИКА : Сергеева О.В. диссертация на соискание ученой степени кандидата филологических наук / Адыгейский государственный университет. Краснодар, 2013
# ЭЛИТАРНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ В ПУБЛИЦИСТИЧЕСКОМ ДИСКУРСЕ (НА МАТЕРИАЛЕ ПУБЛИЦИСТИЧЕСКОГО ТВОРЧЕСТВА С. РАССАДИНА) Ашева А.А. автореферат дис. ... кандидата филологических наук / Адыг. гос. ун-т. Майкоп, 2013
# ЭЛОКУТИВНАЯ ПРАГМАТИКА ПЕЧАТНЫХ СМИ В КОНТЕКСТЕ ФОРМИРОВАНИЯ ИНТЕРНАЦИОНАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Антипова Д.Г. автореферат дис. ... кандидата филологических наук / Хакас. гос. ун-т им. Н.Ф. Катанова. Абакан, 2013
# СПЕЦИФИКА ФОРМИРОВАНИЯ И РАЗВИТИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ В МОНО- И ПОЛИЭТНИЧЕСКОЙ СРЕДЕ (НА ПРИМЕРЕ КАБАРДИНО-БАЛКАРСКОЙ РЕСПУБЛИКИ) Безрокова М.Б. диссертация на соискание ученой степени кандидата филологических наук / Кабардино-Балкарский государственный университет им. Х.М. Бербекова. Нальчик, 2013
# РУССКИЙ КОСМОФИЛОСОФСКИЙ ДИСКУРС КАК РЕЧЕМЫСЛИТЕЛЬНЫЙ ПРОДУКТ КОЛЛЕГИАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ: ЛИНГВОРИТОРИЧЕСКИЙ ПОДХОД : Тихонова А.Б. автореферат дис. ... кандидата филологических наук / Адыг. гос. ун-т. Майкоп, 2013
# ОСОБЕННОСТИ РЕАЛИЗАЦИИ ПРОФЕССИОНАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ В ЕСТЕСТВЕННОЙ ПИСЬМЕННОЙ РЕЧИ ПРЕДПРИНИМАТЕЛЕЙ Золотова Е.С. диссертация ... кандидата филологических наук : 10.02.19 / Челябинский государственный университет. Челябинск, 2013
# НАЦИОНАЛЬНО-ОБУСЛОВЛЕННАЯ ЛЕКСИКА КАК КУЛЬТУРООБРАЗУЮЩИЙ ФАКТОР ФОРМИРОВАНИЯ МЕКСИКАНСКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Гусева И.В. диссертация ... кандидата филологических наук : 10.02.05 / Московский государственный институт Международных отношений. Москва, 2013
# ЛИНГВОСОЦИОНИЧЕСКОЕ МОДЕЛИРОВАНИЕ РУССКОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ ИНТЕРНЕТ-БЛОГА) Замилова А.В. Диссертация на соискание ученой степени кандидата филологических наук / Кемеровский государственный университет. Кемерово, 2013
# ЛИНГВОПРАГМАТИЧЕСКИЕ ОСОБЕННОСТИ ПЕРЕВОПЛОЩЕННОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Косинова Е.В. на материале немецкого языка : диссертация ... кандидата филологических наук : 10.02.19 / Кемеровский государственный университет. Новокузнецк, 2013
# КОНЦЕПТУАЛИЗАЦИЯ ОЙКОНИМОВ В СОЗНАНИИ РЕГИОНАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Ганова С.В. диссертация на соискание ученой степени кандидата филологических наук / Кемеровский государственный университет. Бийск, 2013
# В.В. ВИНОГРАДОВ КАК ПРОФЕССИОНАЛЬНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ УЧЕНОГО-ФИЛОЛОГА: ЛИНГВОРИТОРИЧЕСКИЙ АСПЕКТ : Кузнецова Л.Н. на материале текстов о языке и стиле русских писателей : диссертация ... кандидата филологических наук : 10.02.19 / Адыгейский государственный университет. Сочи, 2013
# ЯЗЫКОВАЯ ЛИЧНОСТЬ В ВИРТУАЛЬНОМ ДИСКУРСЕ Лутовинова О.В. автореферат дис. ... доктора филологических наук / Волгогр. гос. соц.-пед. ун-т. Волгоград, 2013
''2014 год''
# РУССКАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ В ПОЛИКУЛЬТУРНОМ ПРОСТРАНСТВЕ БЛИЖНЕГО ЗАРУБЕЖЬЯ Млечко Т.П. автореферат дис. ... доктора филологических наук / Рос. ун-т дружбы народов. Москва, 2014
# ТИПОЛОГИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ ТЕЛЕВИЗИОННОГО СПОРТИВНОГО КОММЕНТАТОРА (КОММУНИКАТИВНО-ПРАГМАТИЧЕСКИЙ АСПЕКТ) Косякин И.В. автореферат дис. ... кандидата филологических наук / Воронеж. гос. ун-т. Воронеж, 2014
# ЯЗЫКОВАЯ ЛИЧНОСТЬ МУЗЫКАНТА В ЭТНОКУЛЬТУРНОМ АСПЕКТЕ (НА МАТЕРИАЛЕ ДИСКУРСНЫХ МАНИФЕСТАЦИЙ А.Н. СКРЯБИНА И К. ДЕБЮССИ) Быканова М.С. Диссертация на соискание ученой степени кандидата филологических наук / Белгородский государственный национальный исследовательский университет. Белгород, 2014
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ЕКАТЕРИНЫ ВТОРОЙ Никитина А.Ю. автореферат дис. ... кандидата филологических наук / Казан. (Приволж.) федер. ун-т. Казань, 2014
# СОЦИОКОММУНИКАТИВНЫЕ ХАРАКТЕРИСТИКИ ЯЗЫКОВОЙ ЛИЧНОСТИ ПЕРЕВОДЧИКА (НА МАТЕРИАЛЕ РУССКОГО И АНГЛИЙСКОГО ЯЗЫКОВ) Гуреева А.А. автореферат дис. ... кандидата филологических наук / Волгогр. гос. соц.-пед. ун-т. Волгоград, 2014
# ДЕТСКИЙ ДИСКУРС КАК ФЕНОМЕН ФОРМИРУЮЩЕЙСЯ ЯЗЫКОВОЙ ЛИЧНОСТИ Данюшина Л.А. автореферат дис. ... кандидата филологических наук / Юж. федер. ун-т. Ростов-на-Дону, 2014
# ГЕНДЕРНЫЕ ОСОБЕННОСТИ ФУНКЦИОНИРОВАНИЯ НЕВЕРБАЛЬНЫХ КОМПОНЕНТОВ В КОММУНИКАТИВНОМ ПОВЕДЕНИИ ЯЗЫКОВОЙ ЛИЧНОСТИ: МЕЖКУЛЬТУРНЫЙ АСПЕКТ Дутова Н.В. диссертация на соискание ученой степени кандидата филологических наук / Бурятский государственный университет. Улан-Удэ, 2014
# ВОЗМУЩАЮЩАЯСЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ КОММУНИКАТИВНО-ПРАГМАТИЧЕСКИЙ ПОДХОД (НА МАТЕРИАЛЕ АНГЛИЙСКОГО И ФРАНЦУЗСКОГО ЯЗЫКОВ) Якищенко Е.А. автореферат дис. ... кандидата филологических наук / Кемер. гос. ун-т. Кемерово, 2014
# ВЕРБАЛЬНОЕ ПОВЕДЕНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ СТАРШЕКЛАССНИКА В ЖАНРЕ СОЧИНЕНИЯ ФОРМАТА ЕГЭ Ситдикова М.Г. диссертация ... кандидата филологических наук : 10.02.01 / Башкирский государственный университет. Уфа, 2014
# ЯЗЫКОВАЯ ЛИЧНОСТЬ М. И. ЦВЕТАЕВОЙ КАК ОБЪЕКТ ЛЕКСИКОГРАФИИ Шевченко Н.М. Диссертация на соискание ученой степени доктора филологических наук: по специальности 10.02.01 – русский язык / Российский университет дружбы народов. Москва, 2014
# ТРАНСФОРМАЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ В ЭТНОЛИНГВИСТИЧЕСКОМ ПРОСТРАНСТВЕ РОССИЙСКО-КАЗАХСТАНСКОГО ПРИГРАНИЧЬЯ (НА ПРИМЕРЕ ТАТАРСКОГО И КАЗАХСКОГО ЯЗЫКОВ) Койше К.К. автореферат дис. ... доктора филологических наук / Башкир. гос. ун-т. Уфа, 2014
''2015 год''
# ИДИОСТИЛЬ ИНФОРМАЦИОННО-МЕДИЙНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ: КОММУНИКАТИВНО-КОГНИТИВНЫЕ АСПЕКТЫ ИССЛЕДОВАНИЯ Болотнов А.В. Диссертация на соискание ученой степени доктора филологических наук / Томский государственный педагогический университет. Томск, 2015
# ЯЗЫКОВАЯ ЛИЧНОСТЬ РЕГИОНАЛЬНОГО ТЕЛЕВЕДУЩЕГО В КОНТЕКСТЕ ТЕЛЕВИЗИОННОГО ДИСКУРСА Касимханова А.Ф. автореферат дис. ... кандидата филологических наук / Башкир. гос. ун-т. Уфа, 2015
# ЯЗЫКОВАЯ ЛИЧНОСТЬ В.Е. МАКСИМОВА (НА МАТЕРИАЛЕ ХУДОЖЕСТВЕННОЙ ПРОЗЫ) Васильева М.Н. Автореферат диссертации на соискание ученой степени кандидата филологических наук / Башкирский государственный педагогический университет им. М. Акмуллы. Уфа, 2015
# СЕМАНТИЧЕСКОЕ ПОЛЕ "АНТИЧНОСТЬ" В ЛЕКСИКОНЕ СОВРЕМЕННОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Румянцева Н.А. автореферат дис. ... кандидата филологических наук / Рос. гос. пед. ун-т им. А.И. Герцена. Санкт-Петербург, 2015
# ОСОБЕННОСТИ ЯЗЫКОВОЙ ЛИЧНОСТИ С.Д. ДОВЛАТОВА Хлупина М.А. автореферат дис. ... кандидата филологических наук / Моск. гос. пед. ун-т. Москва, 2015
# ЛЕКСИКО-КВАНТИТАТИВНОЕ МОДЕЛИРОВАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ В ИДЕНТИФИКАЦИОННОМ АСПЕКТЕ (НА МАТЕРИАЛЕ РУССКОЯЗЫЧНЫХ ИНТЕРНЕТ-ДНЕВНИКОВ) Напреенко Г.В. диссертация на соискание ученой степени кандидата филологических наук / Кемеровский государственный университет. Кемерово, 2015
# КОММУНИКАТИВНОЕ ПОВЕДЕНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ ВИРТУАЛЬНОГО ВРАЧА В МЕДИЦИНСКОМ ИНТЕРНЕТ-ФОРУМЕ Гагарина Е.Ю. Диссертаци на соискание ученой степени кандидата филологических наук / Московский государственный областной университет. Астрахань, 2015
# ВЕРБАЛИЗАЦИЯ ЧУВСТВЕННОГО ВОСПРИЯТИЯ КАК ОТРАЖЕНИЕ ПЕРЦЕПТИВНОЙ КАРТИНЫ МИРА ДИАЛЕКТНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Земичева С.С. (автореферат Кузнецова С.С.) диссертация на соискание ученой степени кандидата филологических наук / Национальный исследовательский Томский государственный университет. Томск, 2015
# А.А. ТАРКОВСКИЙ КАК ЯЗЫКОВАЯ ЛИЧНОСТЬ (СПОСОБЫ РЕПРЕЗЕНТАЦИИ В ПОЭТИЧЕСКОМ ТЕКСТЕ) Романова М.С. автореферат дис. ... кандидата филологических наук / Дагестанский государственный педагогический университет. Махачкала, 2015
# ЯЗЫКОВАЯ ЛИЧНОСТЬ Ф.М. ДОСТОЕВСКОГО ЛЕКСИКОГРАФИЧЕСКОЕ ПРЕДСТАВЛЕНИЕ Ружицкий И.В. автореферат дис. ... доктора филологических наук / Ур. федер. ун-т имени первого Президента России Б.Н. Ельцина. Екатеринбург, 2015
''2016 год''
# ЯЗЫКОВАЯ ЛИЧНОСТЬ АДВОКАТА В КОНТЕКСТЕ ЮРИДИЧЕСКОГО ДИСКУРСА (НА МАТЕРИАЛЕ РЕЧЕЙ С.А. АНДРЕЕВСКОГО И Н.П. КАРАБЧЕВСКОГО) Климович О.В. автореферат дис. ... кандидата филологических наук / Башкир. гос. ун-т. Уфа, 2016
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ПИСАТЕЛЯ ЯНЫБАЯ ХАММАТОВА (НА МАТЕРИАЛЕ ХУДОЖЕСТВЕННЫХ ТЕКСТОВ) Ишегулова А.М. Автореферат диссертации на соискание ученой степени кандидата филологических наук / Башкирский государственный университет. Уфа, 2016
# ЯЗЫКОВАЯ ЛИЧНОСТЬ НОСИТЕЛЯ ГОРОДСКОГО ПРОСТОРЕЧИЯ Соломина Е.В. Диссертация на соискание ученой степени кандидата филологических наук / Национальный исследовательский Томский государственный университет. Томск, 2016
# СРАВНИТЕЛЬНО-СОПОСТАВИТЕЛЬНОЕ ИЗУЧЕНИЕ ЛИНГВОКУЛЬТУРНОГО ТИПАЖА КАК АСПЕКТА ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ ЛИНГВОКУЛЬТУРНОГО ТИПАЖА "ДРУГ" В АНГЛО- И ИСПАНОЯЗЫЧНЫХ ХУДОЖЕСТВЕННЫХ ПРОИЗВЕДЕНИЯХ) Глушкова Н.М. автореферат дис. ... кандидата филологических наук / Тюменский государственный университет. Тюмень, 2016
# ФРАЗЕОЛОГИЗМЫ В ПОЭЗИИ В.С. ВЫСОЦКОГО КАК ФАКТОР ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ Митина А.А. автореферат дис. ... кандидата филологических наук / Тамб. гос. ун-т им. Г.Р. Державина. Тамбов, 2016
# РЕАЛИЗАЦИЯ СТРАТЕГИИ САМОИДЕНТИФИКАЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ В ДНЕВНИКОВОМ ДИСКУРСЕ Леонова Е.В. автореферат дис. ... кандидата филологических наук / Северо-Кавказский федеральный университет. Саратов, 2016
# ПСИХОЛИНГВИСТИЧЕСКИЙ И ЛИНГВОКОГНИТИВНЫЙ АНАЛИЗ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА ПРИМЕРЕ ПУБЛИЦИСТИЧЕСКОГО ДИСКУРСА В.П. АСТАФЬЕВА) Нестерова О.А. автореферат дис. ... кандидата филологических наук / Нижегор. гос. ун-т им. Н.И. Лобачевского. Нижний Новгород, 2016
''2017 год''
# СТАТУСНЫЕ И СТРУКТУРНО-СЕМАНТИЧЕСКИЕ ХАРАКТЕРИСТИКИ ЯЗЫКОВОЙ ЛИЧНОСТИ КАК ЭТНОЛИНГВОТИПА В ЭПОХУ ГЛОБАЛИЗАЦИИ Пахаренко С.В. Диссертация на соискание ученой степени кандидата филологических наук / Северо-Кавказский федеральный университет. Ставрополь, 2017
# ПЕРЦЕПТИВНЫЕ КОНЦЕПТЫ И ЯЗЫКОВАЯ ЛИЧНОСТЬ В ХУДОЖЕСТВЕННОМ ДИСКУРСЕ (НА МАТЕРИАЛЕ ПРОИЗВЕДЕНИЙ Б. ПАСТЕРНАКА И М. ПРУСТА) Куган Е.И. автореферат дис. ... кандидата филологических наук / Белгородский государственный национальный исследовательский университет. Белгород, 2017
# ОСОБЕННОСТИ РЕПРЕЗЕНТАЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ В МУЛЬТИПЛИКАЦИОННОМ ПРОСТРАНСТВЕ (НА МАТЕРИАЛЕ МУЛЬТСЕРИАЛОВ "ВИНКС" И "БЕН 10: ИНОПЛАНЕТНАЯ СВЕРХСИЛА") Канукоева А.Л. автореферат дис. ... кандидата филологических наук / Кабард.-Балкар. гос. ун-т им. Х.М. Бербекова. Нальчик, 2017
# КОЛЛЕКТИВНАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ АВТОРА ИНТЕРНЕТ-КОММЕНТАРИЯ НА САЙТЕ ГЛЯНЦЕВОГО ЖУРНАЛА (ГЕНДЕРНЫЙ АСПЕКТ) Кузьмина В.М. автореферат дис. ... кандидата филологических наук / С.-Петерб. гос. ун-т. Санкт-Петербург, 2017
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ЖИТЕЛЬНИЦЫ РУССКОГО СЕВЕРА: ОПЫТ ВЕРБАЛЬНО-СЕМАНТИЧЕСКОГО, ЛИНГВОКОГНИТИВНОГО И ПРАГМАТИЧЕСКОГО ОПИСАНИЯ. Зубова Н.Н. диссертация на соискание ученой степени кандидата филологических наук/ФГБОУ ВО «Вологодский государственный университет» 31.05.2017 10.02.01
''2018 год''
# САМОИНДЕНТИФИКАЦИОННЫЙ ДИСКУРС РУССКОЙ ЭЛИТАРНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Лаппо М.А. автореферат диссертации на соискание ученой степени доктора филологических наук / Новосибирский государственный педагогический университет. Новосибирск, 2018
# ОСОБЕННОСТИ ОБЪЕКТИВАЦИИ КОГНИТИВНОГО СТИЛЯ ЯЗЫКОВОЙ ЛИЧНОСТИ В ИНСТИТУЦИОНАЛЬНОМ И ПЕРСОНАЛЬНОМ ТИПАХ ДИСКУРСА Пугоева А.О. диссертация на соискание ученой степени кандидата филологических наук / 22.02.2018
# РУССКОЯЗЫЧНЫЕ АСПЕКТЫ ПЕРЕВОДЧЕСКОЙ ДЕЯТЕЛЬНОСТИ К.И. ЧУКОВСКОГО КАК ЯЗЫКОВОЙ ЛИЧНОСТИ Агаджанян А.А. диссертация на соискание ученой степени кандидата филологических наук / 13.03.2018
# РЕЧЕВЫЕ СТРАТЕГИИ И ТАКТИКИ ЯЗЫКОВОЙ ЛИЧНОСТИ В СОЦИАЛЬНЫХ СЕТЯХ Шилова Е.С. диссертация на соискание ученой степени кандидата филологических наук / 17.05.2018
# ТРАНСФОРМАЦИЯ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТА-АРАБИСТА В АКАДЕМИЧЕСКОМ АРАБОЯЗЫЧНОМ ДИСКУРСЕ [[Дубинина]] Н.В. диссертация на соискание ученой степени кандидата филологических наук /21.09.2018 спец 10.02.19
# КОГНИТИВНО-ДИСКУРСИВНЫЕ ПАРАМЕТРЫ ЯЗЫКОВОЙ АГРЕССИИ В РЕЧИ ПУБЛИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Фирсова М.А. диссертация на соискание ученой степени кандидата филологических наук /11.10.2018
# ПРЕЦЕДЕНТНЫЕ ФЕНОМЕНЫ, МОТИВИРОВАННЫЕ ДЕТСКИМ ЧТЕНИЕМ, В СТРУКТУРЕ ЯЗЫКОВОЙ ЛИЧНОСТИ Носова Е.П. диссертация на соискание ученой степени кандидата филологических наук /01.11.2018
# МОДЕЛЬ ЯЗЫКОВОЙ ЛИЧНОСТИ ПРЕДСТАВИТЕЛЯ МОЛОДЁЖНЫХ СУБКУЛЬТУР Хуранова Л. личности диссертация на соискание ученой степени кандидата филологических наук А.21.11.2018
# ВРЕМЯ В КАРТИНЕ МИРА ДИАЛЕКТНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Иванова Л.А. диссертация на соискание ученой степени кандидата филологических наук / 05.12.2018
# ЯЗЫКОВАЯ ЛИЧНОСТЬ А.С. ПУШКИНА: ИНТЕРТЕКСТУАЛЬНОСТЬ И ПРЕЦЕДЕНТНОСТЬ В ДИСКУРСАХ РАЗНЫХ ТИПОВ Михеев А. А. диссертация на соискание ученой степени кандидата филологических наук /20.12.2018
# КОНЦЕПТУАЛИЗАЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТЬЮ ПРИРОДНЫХ ЯВЛЕНИЙ (НА МАТЕРИАЛЕ АНГЛИЙСКОГО, НЕМЕЦКОГО И РУССКОГО ГЕРОИЧЕСКОГО ЭПОСА) Воробьева О.Ю. диссертация на соискание ученой степени кандидата филологических наук /16.05.2018
''2019 год''
# АКТУАЛИЗАЦИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ ПОЛИТИКА В СОВРЕМЕННОМ НЕМЕЦКОМ ПОЛИТИЧЕСКОМ ДИСКУРСЕ Цуциева М.Г. Диссертация на соискание ученой степени доктора филологических наук / Российский государственный педагогический университет им. А.И. Герцена. Санкт-Петербург, 2019
# «ПРОФЕССИОНАЛЬНЫЙ ЯЗЫК КАК СРЕДСТВО МОДЕЛИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ РУССКОГО И АНГЛИЙСКОГО ВАРИАНТОВ ПРОФЕССИОНАЛЬНОГО ЯЗЫКА ЛЕСНОГО ХОЗЯЙСТВА)» 02.07.2019 Гафиятова Эльзара Василовна @@color:red; докторская10.02.20 - Сравнительно-историческое, типологическое и сопоставительное языкознание @@
# РУССКАЯ ЯЗЫКОВАЯ ЛИЧНОСТЬ ПЕРВОЙ ПОЛОВИНЫ XVII ВЕКА В АСПЕКТАХ ТРАНСЛЯЦИИ, КОММУНИКАЦИИ И ИНТЕРПРЕТАЦИИ (НА МАТЕРИАЛЕ РАЗНОЖАНРОВЫХ ТЕКСТОВ ЭПОХИ) Загуменнов А.В. диссертация на соискание ученой степени кандидата филологических наук / 25.02.2019
# ЯЗЫКОВАЯ ЛИЧНОСТЬ РЕДЬЯРДА КИПЛИНГА: ЛИНГВОПРАГМАТИЧЕСКИЕ И СОЦИОКУЛЬТУРНЫЕ ХАРАКТЕРИСТИКИ Мануэльян А.Г. диссертация на соискание ученой степени кандидата филологических наук / 23.04.2019
# ЯЗЫКОВАЯ ЛИЧНОСТЬ ТЕРРОРИСТА (ИССЛЕДОВАНИЕ НА МАТЕРИАЛЕ ВИДЕООБРАЩЕНИЙ ЧЛЕНОВ МЕЖДУНАРОДНОЙ ТЕРРОРИСТИЧЕСКОЙ ОРГАНИЗАЦИИ ИСЛАМСКОЕ ГОСУДАРСТВО, ЗАПРЕЩЕННОЙ НА ТЕРРИТОРИИ РОССИЙСКОЙ ФЕДЕРАЦИИ) Мона Е.А. диссертация на соискание ученой степени кандидата филологических наук / 20.12.2019
# ЭТНОСПЕЦИФИЧЕСКИЕ ВКРАПЛЕНИЯ КАК СРЕДСТВО РЕАЛИЗАЦИИ ПОЛИЛИНГВАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ (НА МАТЕРИАЛЕ ПУБЛИЦИСТИЧЕСКИХ ТЕКСТОВ РАМАЗАНА ТРАХО) Хачак Ф.Д. диссертация на соискание ученой степени кандидата филологическихх наук / Москва, 2003 19.04.2019
# ПЕРСОНОЛОГИЧЕСКИЕ ХАРАКТЕРИСТИКИ ЯЗЫКОВОЙ ЛИЧНОСТИ В.Г. КОРОЛЕНКО-ПУБЛИЦИСТА Махмуд Х. Т. М. диссертация на соискание ученой степени кандидата филологических наук / 18.06.2019
# РЕПРЕЗЕНТАЦИЯ ОСОБЕННОСТЕЙ ЯЗЫКОВОЙ ЛИЧНОСТИ ПЕРСОНАЖА-РЕБЕНКА В АВТОРСКОМ ХУДОЖЕСТВЕННОМ ТЕКСТЕ (НА МАТЕРИАЛЕ ПРОИЗВЕДЕНИЙ ЛЬЮИСА КЭРРОЛЛА) Бальян А.М. диссертация на соискание ученой степени кандидата филологических наук / Москва, 2003 22.10.2019
# ПАРЕМИЧЕСКАЯ КОНЦЕПТУАЛИЗАЦИЯ ЯЗЫКОВОЙ КАРТИНЫ МИРА АДЫГОВ В ХУДОЖЕСТВЕННЫХ ТЕКСТАХ БИЛИНГВАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ Кумук С. Х. диссертация на соискание ученой степени кандидата филологических наук /14.11.2019
# ЛИНГВОКОГНИТИВНЫЕ ОСОБЕННОСТИ РЕАЛИЗАЦИИ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ ПИСАТЕЛЯ-БИЛИНГВА [[Патиева М.М.]] диссертация на соискание ученой степени кандидата филологических наук / 14.11.2019
[ext[ссылка|https://www.gramota.net/editions/2.html#uslov]]
Стоимость публикации условной страницы – 630 руб.
Минимальный объем статьи – 10 полных страниц.
Не более 3-х соавторов в статье.
Стоимость предоставления авторского экземпляра – 450 руб.
Стоимость пересылки по территории РФ – 250 руб., за пределы РФ – 1000 руб.
Титаренко, Сергей Анатольевич
Специфика религиозной философии Николая Бердяева
09.00.03 — История философии
Языковая личность Бердяева
2006
1 25.02.2016 Рубец Мария Владимировна Восприятие и языковая картина мира (на материале китайского языка)\n
09.00.01 Онтология и теория познания
1. ПОНЯТИЕ "ЯЗЫКОВАЯ ЛИЧНОСТЬ" И ПРОБЛЕМА СОЦИАЛЬНОГО КОНСТРУИРОВАНИЯ РЕАЛЬНОСТИ
[[Паниткова Э.Ю.]]
диссертация на соискание ученой степени кандидата философских наук / Сев. (Арктический) федер. ун-т им. М.В. Ломоносова. Архангельск, 2012
2. ТЕОРЕТИКО-ПОЗНАВАТЕЛЬНЫЕ И МЕТОДОЛОГИЧЕСКИЕ АСПЕКТЫ ПРОБЛЕМЫ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ
[[Шашлова Г.С.]]
диссертация на соискание ученой степени кандидата философских наук / Москва, 2006
3. ФОРМИРОВАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ: СОЦИАЛЬНО-ФИЛОСОФСКИЙ АСПЕКТ
[[Сахарова А.В.]]
Диссертация на соискание ученой степени кандидата философских наук / Национальный исследовательский Нижегородский государственный университет им. Н.И. Лобачевского. Нижний Новгород, 2017
[ext[ссылка|https://docviewer.yandex.ru/view/34056482/?page=1&*=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%3D&lang=ru]]
[ext[ссылка|http://elibrary.sgu.ru/uch_lit/145.pdf]]
[[Мордас]] С.Б. Формирование грамматико-коммуникативной компетенции "вторичной" языковой личности франкоговорящих иностранных студентов при изучении предложно-падежных конструкций с пространственным значением
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=835596]]*[ext[ссылка 2|https://new-disser.ru/_avtoreferats/01002621131.pdf]]
```
* {{mcb_ar_s1_3}}*[[mcb_ar_s1_3]]
* {{mcb_ar_s2_2}}*[[mcb_ar_s2_2]]
* {{mcb_ar_s2_5}}*[[mcb_ar_s2_5]]
* {{mcb_ar_s3_1}}*[[mcb_ar_s3_1]]
* {{mcb_ar_s3_2}}*[[mcb_ar_s3_2]]
```
* {{mcb_ar_s6_5}}*[[mcb_ar_s6_5]]
* {{mcb_ar_s9_2}}*[[mcb_ar_s9_2]]
* {{mcb_ar_s9_3}}*[[mcb_ar_s9_3]]
* {{mcb_ar_s9_4}}*[[mcb_ar_s9_4]]
* {{mcb_ar_s10_1}}*[[mcb_ar_s10_1]]
* {{mcb_ar_s12_2}}*[[mcb_ar_s12_2]]
* {{mcb_ar_s17_3}}*[[mcb_ar_s17_3]]
[[Емельянова З.В.]] Формирование интерактивной компетенции языковой личности при обучении иностранным языкам в неязыковом вузе
[[содержание диссертации|ezv_dis_soderzanie]]
* [ext[ссылка ар|https://rusneb.ru/catalog/000200_000018_RU_NLR_bibl_223194/viewer/]] * [ext[ссылка arD|https://yadi.sk/i/ABa4-QdKDjp0aQ]]*[ext[ссылка в библиотеку|file:///D:/BI/a_emilianova_zv.pdf]]
[[ezv_ar]] **[[ezv_ar 1]]
---
* {{ezv_ar}}*[[ezv_ar]]
[[Андреева С.М.]] Формирование коммуникативной культуры "вторичной" языковой личности иностранных студентов-филологов в процессе обучения русскому языку (подготовительный факультет)
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=836001]]*[ext[ссылка ar|https://new-disser.ru/_avtoreferats/01003296774.pdf]]
[[СодержаниеАндрееваСМ]]
* {{asm_ar_s2_6}}*[[asm_ar_s2_6]]
* {{asm_ar_s3_1}}*[[asm_ar_s3_1]]
* {{asm_ar_s3_2}}*[[asm_ar_s3_2]]
* {{asm_ar_s4_5-1}}*[[asm_ar_s4_5-1]]
** {{asm_ar_s4_5-2}}*[[asm_ar_s4_5-2]]
** {{asm_ar_s5_1-1}}*[[asm_ar_s5_1-1]]
** {{asm_ar_s5_1-2}}*[[asm_ar_s5_1-2]]
** {{asm_ar_s5_1-3}}*[[asm_ar_s5_1-3]]
** {{asm_ar_s5_1-4}}*[[asm_ar_s5_1-4]]
** {{asm_ar_s5_1-5}}*[[asm_ar_s5_1-5]]
* {{asm_ar_s5_2-1}}*[[asm_ar_s5_2-1]]
** {{asm_ar_s5_2-2}}*[[asm_ar_s5_2-2]]
** {{asm_ar_s5_2-3}}*[[asm_ar_s5_2-3]]
** {{asm_ar_s5_2-4}}*[[asm_ar_s5_2-4]]
** {{asm_ar_s5_2-5}}*[[asm_ar_s5_2-5]]
```
* {{asm_ar_s7_2}}*[[asm_ar_s7_2]]
```
* {{asm_ar_s9_4}}*[[asm_ar_s9_4]]
* {{asm_ar_s10_1}}*[[asm_ar_s10_1]]
* {{asm_ar_s10_2}}*[[asm_ar_s10_2]]
[ext[ссылка|https://viewer.rusneb.ru/ru/000199_000009_002753052?page=1&rotate=0&theme=white]]
```
Список литературы диссертационного исследования доктор педагогических наук Кичева, Инна Васильевна, 2004 год
1. Азимов П.А., Дешериев Ю.Д. Современное общественное развитие, научно-техническая революция и язык // Вопросы языкознания. 1975. - № 2. - С. 67 - 71.
2. Акуленко В.В. Научно-техническая революция и проблема интернациональной терминологии // Научно-техническая революция и функционирование языков мира. М.: Высшая школа, 1977. - С. 72 - 79.
3. Алексеева Л.М. Проблемы термина и терминообразования. Пермь: Изд-во ПТУ, 1998.- 120 с.
4. Алексеева Л.П. Шаблыгина Н.С. Тезаурус государственных образовательных стандартов и программ. М., 2000. - 48 с.
5. Алмазов Б.Н., Васюта Е.Ф. Анализ профессионального языка школьного учителя // Понятийный аппарат педагогики и образования. Вып.З. Екатеринбург: Изд-во Урал ГПУ, 1998. - С. 314 - 323.
6. Альтшуллер Г.С., Шапиро Р.Б. О психологии изобретательского творчества // Вопросы психологии. 1956. - № 6. - С. 37 - 49.
7. Амонашвили Ш.А. Здравствуйте, дети! М.: Просвещение, 1983. - 208 с.
8. Амонашвили Ш.А. Единство цели. М.: Просвещение, 1987. - 208 с.
9. Амонашвили Ш.А. Личностно-гуманная основа педагогического процесса. Минск: Университетское, 1990. - 560 с.
10. Амонашвили Ш.А. Психологические основы педагогики сотрудничества. -Киев, 1991.-560 с.
11. Амонашвили Ш.А. Почему не прожить нам жизнь героями духа. М.: Дом Шалвы Амонашвили, 2003. - С.21 - 23.
12. Амонашвили Ш.А., Загвязинский В.И. Паритеты, приоритеты и акценты в теории и практике образования // Педагогика. 2000. - № 2. - С. 11-16.
13. Андрамонова И.М. Воспитание социальной активности старшеклассников в теории и практике отечественной педагогики (1960 1985 гг.): Автореф. дис. канд. пед. наук. -М., 1999. - 23 с.
14. Андреев А.А., Солдаткин В.И. Дистанционное обучение: сущность, технология, организация. М.: Изд-во МЭСИ, 1999. - 196 с.
15. Анохина Г.М. Личностно адаптированная система обучения // Педагогика. -2003.- №7. -С. 66-71.
16. Аркавенко Л.Н. Терминологическая культура учителя естествознания // Педагогика. 1998. - № 1. - С. 75 - 80.
17. Асташова Н.А. Концептуальные основы педагогической аксиологии // Педагогика. 2002. - № 8. - С. 8 - 13.
18. Атлантова Л.И. Становление и развитие основных понятий советской педагогики: Автореф. дис. канд. пед. наук. Киев, 1981. - 21 с.
19. Атутов П.Р. Методологические проблемы национально-регионального образования // Педагогика. 2001. - № 2. - С. 25 - 32.
20. Ахманова О.С. Словарь лингвистических терминов М.: Советская энциклопедия, 1966. - 607 с.
21. Балабан М.А. Школа парк. Как построить школу без классов и уроков. -М.: Первое сентября, 1998. - 208 с.
22. Бальсевич В.К. Физическая культура в школе пути модернизации преподавания // Педагогика. 2004. - № 1. - С. 26 - 32.
23. Банникова Т.А. Система оздоровительной и коррекционно-развивающей работы детского образовательного учреждения // Экология детства. Ставрополь: Кавказский край, 2000. - С. 88 - 91.
24. Батракова С.Н. Педагогическое общение как диалог в культуре // Педагогика. 2002. - № 4. - С. 27 - 33.
25. Безрогов В.Г., Кошелева О.Е. Переходные эпохи в истории европейского образования: проблемы изучения // Современные проблемы историко-педагогических исследований. Тезисы докладов и выступлений. М.: Ротапринт Ин - та ТП и МИО РАО, 1992. - С.45 - 47.
26. Безрукова B.C. Словарь нового педагогического мышления. Екатеринбург: Альтернативная педагогика, 1996. - 94 с.
27. Беков Х.А., Бурштейн П.В., Валентинов В.В. и др. Терминология в системе дополнительного профессионального образования: Словарь. М.: Изд-во ИПК госслужбы, 2001.-107 с.
28. Беличева С.А. Характеристика современного состояния проблем девиант-ного поведения несовершеннолетних и пути ее решения // Проблемы социальной работы в России. М.: Изд-во МГСУ, 1995. - С. 91 - 95.
29. Белкин А.С. Основы возрастной педагогики. М.: Академия, 2000. - 192 с.
30. Белкин А.С., Жукова Н.К. Витагенное образование: Голографический подход. Екатеринбург: Альтернативная педагогика, 1999. - 152 с.
31. Белкин А.С., Кутьев В.О. Круглый стол. Актуальные понятия современной педагогики // Педагогика. 2003. - № 7. - С. 44 - 60.
32. Белогуров А.Ю. К вопросу о построении поликультурного образовательного пространства Северного Кавказа // Тезисы III Международного конгресса «Мир на Северном Кавказе через языки, образование, культуру». Пятигорск: Изд-во ПГЛУ, 2001. - С.15 - 16.
33. Белозерцев Е.П. Образ и смысл русской школы: Очерки прикладной философии образования. Волгоград: Перемена, 2000. - 460 с.
34. Белухин Д.А. Основы личностно ориентированной педагогики. Ч. 1. М.: Институт практической психологии, Воронеж: НПО «МОДЭК», 1996. - 318 с.
35. Бельчиков Ю.А. Интернациональная терминология в русском языке. М.: Учпедгиз, 1959. - 78 с.
36. Бергер М.Г. Лингвистические требования к термину // Русский язык в школе. 1965. - № 3. - С. 64 - 68.
37. Бершадский М.Е. На пути к технологии когнитивного обучения // Школьные технологии. 2002. - № 4. - С. 3 - 16.
38. Беспалько В.П. Слагаемые педагогической технологии. М.: Педагогика, 1989.- 190 с.
39. Боголюбов В.И Педагогическая технология. Пятигорск: Изд-во ПГЛУ, 1992. - 245 с.
40. Болбас B.C. О понятиях и терминах этнопедагогики // Педагогика. 2000.- № 1. С. 41 -45.
41. Болотина Т.В. Проблема прав человека в содержании образования // Педагогика. 1999. - № 2. - С. 3 - 7.
42. Болотов В.А., Сериков В.В. Компетентностная модель: от идеи к образовательной программе // Педагогика. 2003. - № 10. - С. 8 - 14.
43. Большой словарь русского языка. М.: Дрофа; Русский язык, 1998. - 672 с.
44. Бондаревская Е.В. Гуманистическая парадигма личностно ориентированного образования//Педагогика. 1997. - № 4. - С. 11 - 17.
45. Бондаревская Е.В. Педагогическая культура как общественная и личная ценность // Педагогика. № 3. - 1999. - С. 37 - 43.
46. Бондаревская Е.В. Смыслы и стратегии личностно-ориентированного воспитания // Педагогика. 2001. - № 1. - С.17 - 24.
47. Бондаревская Е.В., Кульневич С.В. Педагогика: личность в гуманистических теориях и системах воспитания. Учебное пособие. Ростов н/Дону: Творческий центр «Учитель», 1999. - 560 с.
48. Бордовская Н.В. Педагогическая системология: постановка проблемы // Педагогика. 1998. - № 8. - С. 25 - 30.
49. Бордовская Н.В., Реан А.А. Педагогика: Учебник для вузов. СПб.: Питер, 2000. - 304 с.
50. Борисенков В.П. Вызовы современной эпохи и приоритетные задачи педагогической // Педагогика. 2004. - № 1. - С. 3 - 11.
51. Борхвальдт О.В. Историческое терминоведение русского языка. Красноярск: Изд-во КПУ, 2000. - 198 с.
52. Браже Т.Г. Принципы оценки деятельности андрагога // Педагогика. -2000.-№6.- С. 18-20.
53. Браславский П.И., Гольдштейн C.JL, Ткаченко Т.Я. Тезаурус как средство описания систем знаний // Научно-техническая информация. Сер. 2. 1997. -№11.-С. 16-22.
54. Будагов Р.А. История слов в истории общества. М.: Просвещение, 1971,- 270 с.
55. Бужигеева М.Ю. Гендерные особенности детей на начальном этапе обучения // Педагогика. 2002. - № 8. - С. 29 - 35.
56. Бурт Э.М. Научные понятия как системы и их описание в толковых терминологических словарях // Вопросы языкознания. 1984. - № 1. - С.36 - 43.
57. Буянова Л.Ю., Кондратьева Т.С. Терминологическая деятельность как лингвокреативный процесс // Принципы и методы исследования в филологии: Конец XX века. «TEXTUS». Вып.6. Санкт-Петербург - Ставрополь: Изд-во СГУ, 2001. - С. 586-590.
58. Валицкая А.П. Философские основания современной парадигмы образования // Педагогика. 1997. - № 3. - С. 15-20.
59. Валицкая А.П. Культуротворческая школа: концепция и модель образовательного процесса // Педагогика. 1998. - № 4. - С. 12 - 17.
60. Валицкая А.П. Российское образование: модернизация и свободное развитие // Педагогика. 2001. - № 7. - С. 3 - 7.
61. Варава В.В. Интеграция или трансформация // Проблемы и перспективы интеграции высшей школы России в мировую систему образования и науки. Ч. 1. Воронеж: Изд-во ВГУ, 2001. - С. 48 - 50.
62. Варенникова Л.И., Массина С.А. Виды специальной лексики и их экстралингвистическая обусловленность // Язык и общество. Вып. 9. Саратов: Изд-во СГУ, 1993.-С. 4-6.
63. Васильева И.Н. Формирование культуры мира как стратегическая задача современной общеобразовательной школы // Тезисы III Международного конгресса «Мир на Северном Кавказе через языки, образование, культуру». Пятигорск: Изд-во ПГЛУ, 2001. - С. 45.
64. Введенская Л.А., Попова С.И. Культура и искусство речи. Ростов н/До-ну: Феникс, 1999. - 573 с.
65. Ведерникова Л.В. Информальное образование // Педагогика. 1993. - № 1. -С. 116-118.
66. Веселова В.В. Аксиологические приоритеты американского общества в сфере образования (конец XIX века начало 1990-х гг.) // Национальные приоритеты сферы образования и воспитания. - М.: ИТОП РАО. - С. 338 - 380.
67. Виненко В.Г. Синергетика в школе // Педагогика. 1997. - № 2. - С. 55 - 60.
68. Виненко В.Г. Последипломное образование педагога в свете постнеклас-сической науки // Педагогика. 1999. - № 3. - С. 73 - 79.
69. Виноградов В.В. Избранные труды: Лексикология и лексикография. М.: Наука, 1977.-312 с.
70. Винокур Г.О. О некоторых явлениях словообразования в русской научно -технической терминологии // Труды МИИФЛ. Т. V. М., 1939. - С. 26 - 30.
71. Витгенштейн Л. Логико-философский трактат. М.: Мысль, 1958. - 286 с.
72. Вишнякова С.М. Профессиональное образование: Ключевые понятия, термины, актуальная лексика. М.: НИЦСПО, 1990. - 538 с.
73. Владимиров А. Урок целомудрия // Педагогика. 1997. - № 4. - С. 52 - 57.
74. Волков Г.Н. Этнопедагогика. М.: Академия, 1999. - 168 с.
75. Володина МН. Национальное и интернациональное в процессе терминологической номинации. М.: Изд-во МГУ, 1993. - 112 с.
76. Володина М.Н. Термин как средство специальной информации. М.: Изд-во МГУ, 1996. - 80 с.
77. Вопросы терминологии: Материалы Всесоюзной терминологической конференции / АН СССР. М.: Изд-во ЛГУ, 1963. - 344 с.
78. Ворожбитова А.А. Лингвориторическая парадигма: теоретические и прикладные аспекты: Дис. д-ра филол. наук. Краснодар, 2000. - 500 с.
79. Ворожейкина О.Л, Пугач В.Ф., Розина Н.М. Согласованный словарь терминов и определений в области образования государств-участников СНГ. М.: Исследовательский центр проблем качества подготовки специалистов, 2002. - 78 с.
80. Воронов В.В. Формы представления знания в педагогическом образовании // Педагогика. 1999. - № 4. - С. 68-73.
81. Востокова Е.В. Формы обучения: категория дидактики и предметных методик // Педагогика. 2002. - № 4. - С. 33 - 38.
82. Вульфов Б.З. Словарь педагогических ситуаций: Учимся воспитанию. -М.: Педагогическое общество России, 2001. 112 с.
83. Вульфов Б.З., Плоткин М.М. УВК как педагогическая система // Советская педагогика. 1991. - № 2. - С.64 - 68.
84. Вульфсон Б.Л. Высшее образование на Западе на пороге XXI века: успехи и нерешенные проблемы // Педагогика. № 2. - 1999. - С. 84 - 95.
85. Вульфсон Б.Л. Проблемы европейского воспитания // Педагогика. 2000. -№2.-С. 71-81.
86. Галагузова М.А., Штинова Г.Н. Понятийно-терминологические проблемы педагогики и образования // Педагогика. 1997. -№ 6.-С.17-21.
87. Гарунов. М.Г. Психолого-педагогический справочник преподавателя высшей школы. М.: Педагогическое общество России, 1999. - 354 с.
88. Гарунов М.Г., Семушина Л.Г., Фокин Ю.Г. Этюды дидактики высшей школы. М.: НИИ ВО, 1994. - 135 с.
89. Гасанов З.Т. Проблемы воспитания патриотизма, дружбы народов, веротерпимости // Педагогика. 2001. - № 4. - С. 24 - 30.
90. Герд А.С. Основы научно-технической лексикографии. Л.: ЛГУ, 1986. - 70 с.
91. Гершунский Б.С. Философия образования: научный статус и задачи // Советская педагогика. 1991. - № 4. - С. 69 - 74.
92. Гершунский Б.С. Образование в третьем тысячелетии: гармония знания и веры. М., 1997.- 120 с.
93. Гин А.А. Приемы педагогической техники: Свобода выбора. Открытость. Деятельность. Обратная связь. Идеальность. М.: Вита-пресс, 1999. - 88 с.
94. Глазунова М.А. Меерович М.И. Шрагина Л.И. Интегрированный курс на основе ТРИЗ педагогики // Педагогика. - 2002. - № 6. - С. 40 - 43.
95. Голованова Н.Ф. Социализация школьников как явление педагогическое // Педагогика. 1998. - № 5. - С. 42 - 45.
96. Головин Б.Н. О некоторых задачах и тематике исследования научной и научно-технической терминологии // Уч. зап. Горьковского ун-та. Вып. 114. -Горький: Изд-во ГТУ, 1970. С. 17 - 27.
97. Головин Б.Н., Кобрин Р.Ю. Лингвистические основы учения о терминах: Учебное пособие. М.: Высшая школа, 1987. - 104 с.
98. Голуб И.Б. Стилистика русского языка. М.: Айрис-пресс, 1999. - 448 с.
99. Гончарова Е.Ю. Модель школы индивидуального выбора // Завуч. ~ 2000.- № 4. С. 20.
100. Горюнова Л.В. Овладение знаниями и умениями педагогического менеджмента как фактор повышения качественной подготовки учителя: Авто-реф. дис. канд. пед. наук. Ростов н/Дону, 1999. - 19 с.
101. ГОСТ 7.25 2001. Тезаурус информационно-поисковый одноязычный. Правила разработки. - М.: Изд-во стандартов, 2001. - 43 с.
102. Гранкина P.M. Проблема социализации старшеклассников в отечественной педагогике и школе 60-80-х годов XX века: Автореф. дис. канд. пед. наук.- Пятигорск, 2000. 20 с.
103. Грачев С.В. Геополитика в истории образования нерусских народов // Педагогика. 2000. - № 7. - С. 75.
104. Гребешок Н.И. Законы познания и методология педагогики. Ставрополь: Изд-во СГУ, 2001.-254 с.
105. Ш.Григорьев С.И. Новая научная и учебная дисциплина // Педагогика. -1999.-№ 2.-С. 20-25.
106. Григорьева А.В. Воспитание и школа у казаков Северного Кавказа (исторический опыт, современное состояние). Пятигорск: Изд-во ПГЛУ, 2000. - 112 с.
107. Гринев С.В. Введение в терминологическую лексикографию. Учебное пособие. М.: Изд-во МГУ, 1986. - 98 с.
108. Гринев С.В. Введение в терминоведение. М.: Московский лицей, 1993. -309 с.
109. Гринев С.В. Исторический систематизированный словарь терминов терминоведения. М.: Изд-во Московского педуниверситета, 2000. - 96 с.
110. Гринев С.В., Лейчик В.М. К истории отечественного терминоведения // Научно-техническая информация. Сер. 1. 1999. - № 7. - С. 1 - 13.
111. Гриценко А.В. Насилие на телевизионных экранах: воздействие и проблема противодействия // Педагогическая наука и практика-региону: Материалы Всероссийской научно-практической конференции, 22-23 апреля 2003.- Ставрополь: Изд-во СГПИ, 2003. С. 45 - 48.
112. Губанова М.И. Педагогическое сопровождение социального самоопределения старшеклассников // Педагогика. 2002. - № 9. - С. 32 - 39.
113. Гузеев В.В. К формализации дидактики: системный классификатор организационных форм обучения (уроков) // Школьные технологии. 2002. - № 4. -С. 49-57.
114. Гулыга Е.В., Шендельс Е.И. О компонентном анализе значимых единиц языка // Принципы и методы семантических исследований. М.: Наука, 1976. -С. 26-41.
115. Гуревич П.С. Современный гуманитарный словарь справочник. - М.: Олимп, 1999. - 528 с.
116. Гурьянова М.П. Воспитание жизнеспособной личности // Педагогика. -2004. -№ 1.-С. 12- 18.
117. Даниленко В.П. Лингвистическое изучение терминологии и культура речи // Актуальные проблемы культуры речи. М.: Наука, 1970. - С. 305 - 324.
118. Даниленко В.П. Лексико-семантические и грамматические особенности слов-терминов // Исследования по русской терминологии. М.: Наука, 1971. -С. 7 - 68.
119. Даниленко В.П. Русская терминология: Опыт лингвистического описания. М.: Наука, 1977. - 243 с.
120. Данилов М.А. Взаимоотношения всеобщей методологии науки и методологии педагогики // Проблемы социалистической педагогики. М., 1973. -С. 73 -77.
121. Данилюк А.Я. Предмет и метод феноменологической антропологии // Педагогическая наука и практика региону: Материалы Всероссийской научно-практической конференции, 22-23 апреля 2003 года. Ставрополь: Изд-во СГПИ, 2003.-С. 18-20.
122. Данынов С. Формирование мужского характера у подростков в кадетских казачьих классах // Воспитание школьников. 2003. - № 4. - С. 14 - 16.
123. Даринский А.В. Нужна ли государственная элитарная школа? // Педагогика. 2002. -№ 9. - С. 18-22.
124. Дежникова Н.С. Экологическое воспитание в контексте социокультурной динамики // Педагогика. 2002. - № 10. - С. 51 - 56.
125. Денисов П.Н., Морковкин В.В. Комплексный частотный словарь русской научной и технической лексики. М.: Русский язык, 1978. - 408 с.
126. Дефектология. Словарь-справочник / Под ред. Б.П.Пузанова. -М., 1996. 155 с.
127. Джуринский А.Н. Поликультурное воспитание: сущность и перспективы развития // Педагогика. 2002. - № 10. - С. 93 - 97.
128. Дрезен Э. Научно-технические термины и обозначения и их стандартизация. M.-JL: Стандартгиз, 1936. - 34 с.
129. Дубовицкая Т.Д. Контексты содержания образования и их дидактическая интерпретация//Педагогика. 2003. -№ 10.-С. 35 -40.
130. Духанина И.В. Когнитивные подходы в терминологических исследованиях // Языки профессиональной коммуникации. Челябинск: Изд-во ЧТУ, 2003. -С. 213-215.
131. Елаев Н. Буддизм: вчера и сегодня // Педагогика. 2002. - № 4. - С. 98 - 99.
132. Елканов С.Б. Профессиональное самовоспитание учителя. М.: Просвещение, 1986. - 143 с.
133. Емельянов Б.В., Петрунина Т.А. Русская идея и возрождение России // Педагогика. 2000. - № 5. - С. 104 - 105.
134. Ершов В.А. Цели и задачи поликультурного образования // Тезисы III Международного конгресса «Мир на Северном Кавказе через языки, образование, культуру». Пятигорск: Изд-во ПГЛУ, 2001. - С. 20 - 21.
135. Железовская Г.И., Еремина С.В. Принципы формирования дидактических терминов // Педагогика. 1999. - № 5. - С. 18 - 22.
136. Журавлев В.И. Связь педагогики с другими отраслями научного знания // Советская педагогика. 1990 . - № 4. - С. 47 - 52.
137. Журавлев В.И. Основы педагогической конфликтологии. М.: Рос. пед. агентство, 1995. - 174 с.
138. Завадский И.И. Информационная война что это такое? // Конфидент. -1996.-№4.-С. 14-17.
139. Зайцева Т.В. Теория психологического тренинга как инструментальное действие. М.: Мысль, 2002. - 80 с.
140. Закирова А.Ф. Понятийная база современной педагогики // Педагогика. -2001.-№7. -С. 7-12.
141. Закирова А.Ф. Герменевтическая интерпретация педагогического знания // Педагогика. 2004. - № 1. - С. 32 - 42.
142. Закон Российской Федерации об образовании // Бюллетень Комитета по высшей школе Министерства науки, высшей школы и технической политики Российской Федерации. 1993. - № 1. - С. 3 - 43.
143. Захарова И.Г. Информационные технологии для качественного и доступного образования // Педагогика. 2002. - № 1. - С. 27 - 33.
144. Зинченко В.П. Дистанционное образование: к постановке проблемы // Педагогика. 2000. - № 2. - С. 23 - 34.
145. Зинченко В.П. О целях и ценностях образования // Педагогика. 1997. -№5.-С. 3-11.
146. Иващенко Е.Ф. Внутришкольное управление в России (80-90-е годы XX века). Пятигорск: Изд-во ПГЛУ, 2003. - 207 с.
147. Ивина JI.B. Лингво-когнитивные основы анализа отраслевых терминосистем. М.: Академический проект, 2003. - 304 с.
148. Игнатова В.А. Педагогические аспекты синергетики // Педагогика. 2001. - № 8. - С. 26-31.
149. Игнатьева Т.Б. Нравственные ценности в отечественной педагогике (с середины 50-х до начала 90-х гг. XX века) // Образование: идеалы и ценности / Под ред. З.И.Равкина. М.: ИТП и ОРАО, 1995. - С. 296 - 357.
150. Извозчиков В.А., Лаптев В.В., Потемкин М.Н. Концепция педагогики информационного общества // Наука и школа. 1999. - № 1. - С. 44 - 45.
151. Ильина Т.А. Педагогика. М.: Просвещение, 1984. - 496 с.
152. Интернациональные элементы в лексике и терминологии. Харьков: Ви-ща школа, 1980. - 208 с.
153. Исаев Л.Н. Народное воспитание в наследии К.Д.Ушинского // Страницы истории педагогики. Пятигорск: Изд-во ПГЛУ, 2001. - С. 100 - 106.
154. Исмаилов Ш.И. Педагогика дружбы народов, веротерпимости, патриотизма // Педагогика. 2000. - № 2. - С. 107 - 108.
155. История педагогики и образования. От зарождения воспитания в первобытном обществе до конца XX века. М.: ТЦ Сфера, 2001. - 512 с.
156. Как работать над терминологией: Основы и методы: Пособие сост. по трудам Д.С.Лотте и Ком. науч.-техн. терминологии АН СССР. М.: Наука, 1968.- 76 с.
157. Канделаки Т. Л. Значения терминов и системы значений научно-технических терминологий // Проблемы языка науки и техники. М.: Наука, 1970. - С. 30 - 36.
158. Канделаки Т.Л. Семантика и мотивированность терминов. М.: Наука, 1977.- 167 с.
159. Кан-Калик В.А. Учителю о педагогическом общении. М.: Просвещение, 1987. - 190 с.
160. Кантор И.М. Педагогическая лексикография и лексикология. М.: Просвещение, 1968. - 200 с.
161. Кантор И.М. Понятийно-терминологическая система педагогики: Логико-методологические проблемы. -М.: Педагогика, 1980. 158 с.
162. Капанадзе Л.А. О понятиях термин и терминология // Развитие лексики современного русского языка. М.: Наука, 1965. - С. 75 - 85.
163. Капанадзе JI.А. Взаимодействие терминологической лексики с общелитературной: Автореф. дис. канд. филол. наук. М., 1966. - 19 с.
164. Карапетян И.К. Тенденции развития категориально понятийного аппарата педагогической науки в России (1850 -1930). - М.: Грааль, 2000. - 192 с.
165. Квятковский Е.В. Что и как воспитывает жизнь // Педагогика. 2001. -№7.-С. 97- 100.
166. Кирилова Т.С. Проблемы формирования научной терминологии (на материале названий медицины и экологии): Автореф. дис. д-ра филол. наук. -Краснодар, 1999. 42 с.
167. Кирсанов А.А. Понятийно-терминологическая специфика инженерной педагогики//Педагогика. 2001. -№3.-С.21-27.
168. Кларин М.В. Обучение в контексте организационных изменений // Педагогика. 1999. -№ 2. - С. 39 - 42.
169. Кларин М.В. Интерактивное обучение инструмент освоения нового опыта // Педагогика. - 2000. - № 7. - С. 12 - 18.
170. Клиамнович О., Гончеренок И. Понятийно-терминологические аспекты проблемы интернационализации высшего образования // Альма-матер. 2001. - № 1.-С. 10- 13.
171. Князев Е. А. Информационные ресурсы в стратегическом менеджменте // Университетское управление: практика и анализ. 2003. - № 2 (25). - С. 7 - 17.
172. Князева Е.Н., Курдюмов С.П. Антропный принцип в синергетике // Вопросы философии. 1997. - № 3. - С. 62 - 79.
173. Князева Е., Туробов А. Единая наука о единой природе // Новый мир. -2000. -№3.~ С. 177- 178.
174. Кобылянский В.А. Формирование экологической культуры и проблемы образования // Педагогика. 2001. -№ 1.-С. 32-41.
175. Ковалевский P.JI. Словообразовательные модели интернациональных терминов с компонентами греко-латинского происхождения: Автореф. дис. канд. филол. наук. М., 1969. - 20 с.
176. Ковтун Т.В., Гуров В.Н. Словарь справочник терминов специалистов в области социальной работы. - Ставрополь: Ставропольсервисшкола, 1999. -112 с.
177. Коджаспирова Г.М., Коджаспиров А.Ю. Педагогический словарь. М.: Издательский центр «Академия», 2000. - 176 с.
178. Козлов А.В., Погребная Т.В. ТРИЗ для учителя математики // Технологии творчества. 1999 . - № 1. - С. 15 - 18.
179. Колесникова И.Л., Долгина О.А. Английские и русские методические термины и проблемы создания терминологического справочника // Иностранные языки в школе. 2002. - № 3. - С. 39 - 40.
180. Колеченко А.К. Энциклопедия педагогических технологий. СПб.: Каро, 2002. - 365 с.
181. Комарова Г.А. О понятии «этнопедагогика» в советской этнографической и педагогической науке // Изучение преемственности этнокультурных явлений. М.: Высшая школа, 1980. - С. 212 - 214.
182. Комаровский Б.Б. Дидактический словарь. М., 1938.
183. Комаровский Б.Б. Русская педагогическая терминология. Теория и история. М.: Просвещение, 1969. - 310 с.
184. Компетентностный подход как естественный этап обновления содержания образования // Учительская газета. 2002 . - 3 сентября. - № 36.
185. Конаржевский Ю.А. Менеджмент и внутришкольное управление. М.: Центр «Педагогический поиск», 2000. - 224 с.
186. Кондаков Н.И. Логический словарь-справочник. М.: Наука, 1975. - 720 с.
187. Кондратенко Е.В. Круглый стол: Элитарная школа в национальной системе образования // Педагогика. 2000. - № 4. - С. 44 - 69.
188. Константиновский Д.Л., Хохлушкина Ф.А. Школа вчера и сегодня (с точки зрения социологии) // Педагогика. 2000. - № 1. - С. 32 - 39.
189. Копнин П.В. Гносеологические и логические основы науки. М.: Мысль, 1974. - 568 с.
190. Коржуев А.В. Содержательная и логическая корректность педагогических исследований // Педагогика. № 2. - 1999. - С. 8 - 12.
191. Корнетов Г.Б. Парадигмы базовых моделей образовательного процесса // Педагогика. 1999. - № 3. - С. 43 - 49.
192. Коротяев Б.И. Педагогика как совокупность педагогических теорий. М.: Просвещение, 1986. - 208 с.
193. Коррекционная педагогика в начальном образовании / Под ред. Г.Ф.Кума-риной. -М., 2001.-410 с.
194. Коршунова H.JI. Зачем нужна однозначность научных понятий? // Педагогика. 1992. - № 3 / 4. - С. 48 - 52.
195. Коршунова H.JI. Педагогическое образование без педагогики // Педагогика. 2000. -№ 2. - С. 41 -48.
196. Коршунова.Н.Л. Социопрактические аспекты инновационной педагогической идеи // Педагогика. 2000. - № 10. - С. 12 - 17.
197. Косик В.И. Свобода и «живая вода» русской души // Педагогика. 2001. -№ 1.-С. 98- 102.
198. Костов Н. За основните понятия в педагогиката // Народна просвета. -1965.-№ 12.-С. 7- 14.
199. Костомаров В.Г. О ретроспективности учения о культуре речи // Изв. АН СССР. Сер. лит. и яз. 1966. - Т. XXV. - С. 81 - 88.
200. Костомаров В.Г. Языковой вкус эпохи: Из наблюдений над речевой практикой масс-медиа. М.: Педагогика - Пресс, 1994. - 320 с.
201. Кочетов А.И. Культура педагогического исследования. Минск: Редакция журнала « Адукацыя i выхаванне», 1996. - 312 с.
202. Кошкина Е.А. Русская педагогическая терминология первой четверти XVIII века: Автореф. дис. канд. пед. наук. Архангельск, 1997. - 21 с.
203. Кравченко А.И. Культурология: Словарь. М.: Академический проект, 2000. - 426 с.
204. Краевский В.В. Методология педагогического исследования. Самара: Изд-во СамГПИ, 1994. - 164 с.
205. Краевский В.В. Педагогика между философией и психологией // Педагогика. -1994. № 6. - С. 24 - 31.
206. Краевский В.В. Сколько у нас педашгик? // Педагогика. № 4. — 1997. -С.113 - 119.
207. Краевский В.В. Содержание образования бег на месте // Педагогика. -2000. -№7. -С. 3- 12.
208. Краевский В.В. Воспитание или образование // Педагогика. 2001. - № 3. -С. 3 - 10.
209. Краевский В.В. Методология педагогики: прошлое и настоящее // Педагогика. 2002.-№ 4. - С. 3 - 10.
210. Краевский В.В., Полонский В.М. Методология для педагога: теория и практика. М., Волгоград: Перемена, 2001. - 220 с.
211. Краткий международный терминологический справочник / Сост. В.Л.Чо-лганская. М.: Наука, 1981. - 411 с.
212. Краткий педагогический словарь пропагандиста. М.: Просвещение, 1988. - 220 с.
213. Краткий словарь педагогических терминов / Сост. В.В.Макаев. Пятигорск: Изд-во ПГПИИЯ, 1982. - 51 с.
214. Краткий словарь современной педагогики / Сост. Т.Б.Санжиева, Ю.Г.Резникова, Т.К.Солодухина и др. Улан - Удэ: Изд-во БГУ, 2001. - 100 с.
215. Краткий справочник по педагогической технологии / Под ред. Н.Е.Щур-ковой. М.: Новая школа, 1997. - 64 с.
216. Краткий терминологический словарь к понятию «воспитание» в предметах педагогического цикла. Ташкент: Изд-во РПИРЯ и JI, 1986. - 30 с.
217. Крупник С.А. Методологические подходы к предмету педагогики // Педагогика. 2000. - № 4. - С. 21 - 26.
218. Крупская Н.К. Педагогические сочинения. Т. 2: Общие вопросы педагогики. М.: Изд-во АПН РСФСР, 1958. - 735 с.
219. Крылова Л.М., Гулько Я.Н. Валеология как наука о здоровье и место физической культуры в ней // Актуальные проблемы физической культуры: Материалы научно-практической конференции. Ростов н/Дону, 1995. - Т. 4. Ч. 1. - С. 27 - 30.
220. Крылова Н.Б. Можно ли управлять педагогической поддержкой, а если можно, то как? // Народное образование. 2000. - № 3. - С. 94 - 96.
221. Крылова Н.Б., Леонтьева О.М. Школы без стен: перспективы развития и организация продуктивных школ // Директор школы. 2002. - № 1. - С. 23.
222. Крысин Л.П. Толковый словарь иноязычных слов. М.: Русский язык, 2000. - 854 с.
223. Крючкова Т.Б. Особенности формирования и развития общественно-политической лексики и терминологии. М.: Наука, 1989. - 151 с.
224. Кузнецова А.Г. Системология в отечественной педагогике (конец XIX в. — 60 гг. XX века) // Педагогика. - 2001. - № 3. - С. 53 - 58.
225. Кулындышева Л.А. Инвентаризация терминов важнейший элемент теоретических исследований // Теоретические исследования по терминологии. -Новосибирск, 1978. - С. 67 - 79.
226. Кулемин Н.А. Квалиметрический мониторинг в системе общего образования Н Педагогика. 2001. - № 3. - С. 16 - 20.
227. Кульневич С.В. Педагогика самоорганизации: феномен содержания. Воронеж, 1997.-237 с.
228. Кульневич С.В. О научно-педагогической грамотности // Педагогика. -2000.-№ 6.-С. 21 -28.
229. Кумарин В.В. Вместо педагогики «философия образования»? // Педагогика. 1997. -№ 3. - С. 110- 118.
230. Кумарин В.В., Виноградова Н.Д. Принцип природосообразности и возрождения школы // Педагогика. -1995.-№2.-С.15-17.
231. Кун Т. Структура научных революций. Пер. с англ. / Ред. С.Р.Микулин-ский. М.: Прогресс, 1975. - 290 с.
232. Куприна А.И. Мониторинг как средство повышения качества управления образовательным процессом: Автореф. дис. канд. пед. наук. Екатеринбург, 1999.- 18 с.
233. Кусжанова А.Ж. К теории образования: философские и социологические проблемы. Оренбург, 1994. - 97 с.
234. Кутина JI.JI. Формирование языка русской науки. М. - Д.: Наука, 1964. -220 с.
235. Кутина JI.JI. Языковые процессы, возникающие при становлении научных терминологий //Лингвистические проблемы научно-технической терминологии. М.: Наука, 1970. - С. 82 - 94.
236. Куценко И.Я. Кубанское казачество. Краснодар, 1990. - 383 с.
237. Лаврентьев Н.Б. Словарь терминов и понятий курса «Педагогика». Методическая разработка. Барнаул: Изд-во АГУ, 1995. - 43 с.
238. Лазарев В.В. Когнитивная парадигма: исторические предпосылки и современные реалии // Вестник ПГЛУ. 2000. - № 2. - С. 78 - 82.
239. Лазарев B.C. Управление образованием на пороге новой эпохи // Педагогика. 1995. -№ 5. - С. 12-18.
240. Лебедева Л.Д. Арттерапия в педагогике // Педагогика. 2000. - № 7. -С. 27 - 34.
241. Левитан К.М. Основы педагогической деонтологии. М.: Наука, 1994. - 192 с.
242. Леднев B.C. Понятийно-терминологические проблемы педагогики // Понятийный аппарат педагогики и образования. Вып. 2. Екатеринбург, 1996. -С. 28 - 34.
243. Лейчик В.М. О языковом субстрате термина // Вопросы языкознания. -1986.-№ 5.-С. 87-97.
244. Лейчик В.М. Предмет, методы и структура терминоведения. Дис. докт. филол. наук. М., 1989. - 300 с.
245. Лернер И.Я. Болевые точки процесса обучения // Педагогика. 1991. -№5.-С. 24-29.
246. Лингвистические проблемы научно технической терминологии /АН СССР. Ин - т языкознания. - М.: Наука, 1970. - 230 с.
247. Лингвистический энциклопедический словарь / Гл. ред. В.Н.Ярцева. М.: Советская энциклопедия, 1990. - 685 с.
248. Лихачев А.Е. Воспитание и духовность (заметки православного педагога) // Педагогика. 2001. - № 3. - С. 33 - 36.
249. Лихачев Б.Т. Педагогика. М.: Прометей, 1992. - 562 с.
250. Лихачев Б.Т. Философия воспитания: Учебное пособие для студентов высших учебных заведений. М.: Прометей, 1995. - 282 с.
251. Лихачев Б.Т. Сущность, критерии и функции научной педагогики // Педагогика. 1997. - № 6. - С. 21 - 26.
252. Лихачев Б.Т. Основные категории педагогики // Педагогика. 1999. - № 1. -С. 10-18.
253. Лихачев Б.Т. Воспитание и социум: личностные смыслы общественного самосознания М.: Государственный НИИ семьи и воспитания, 1999. - 150 с.
254. Логвинов И.И. Природа дидактического знания // Педагогика. 2000. -№6.-С. 13 - 18.
255. Логические, лингвистические и историко-научные аспекты терминологии /АН СССР. Ком. науч.-техн. терминологии. М.: Наука, 1970. - 127 с.
256. Лотте Д.С. Основы построения научно технической терминологии: Вопросы теории. - М.: Изд-во АН СССР, 1961. - 158 с.
257. Лотте Д.С. Краткие формы научно-технических терминов. М.: Наука, 1971.-94 с.
258. Лотте Д.С. Вопросы заимствования и упорядочения иноязычных терминов и терминоэлементов. М.: Наука, 1982. - 150 с.
259. Лукина А.К. Проектирование пространства развития подростка в современных условиях // Педагогика. 2002. - № 1. - С. 23 - 27.
260. Лунёв Ю.А., Чернышев А.С. Социальное обучение молодежи: оптимальные условия, принципы, технологии. Курск, 1999. - 137 с.
261. Лутовинов Д.С., Полетаев Е.Г. Идеология воспитания российской молодежи // Педагогика. 2001. - № 3. - С. 46 - 47.
262. Магин В.А. Культура здоровья как социально-педагогический феномен // Вестник СГУ. Вып. 26. - Ставрополь: Изд-во СГУ, 2000. - С. 16 - 20.
263. Майерс Д. Социальная психология. СПб., 1997. - 529 с.
264. Макаев В.В. Политическая и нравственная индоктринация молодежи. -Пятигорск: Изд-во ПГЛУ, 1998. 45 с.
265. Макаев В.В. Когнитивная педагогика: наука или модная фраза? // Когнитивная парадигма (Тезисы международной конференции 27-28 апреля 2000 г.). Пятигорск: Изд-во ПГЛУ, 2000. - С. 77 - 80.
266. Макаев В.В. Воспитание духовности как педагогическая проблема. Пятигорск: Изд-во ПГЛУ, 2004. - 28 с.
267. Макаев В.В., Малькова З.А, Супрунова Л.Л. Поликультурное образование -актуальная проблема современной школы // Педагогика. 1999. - № 3. - С. 10 - 17.
268. Макаренко А.С. Проблемы школьного советского воспитания. Соч. Т. 5. -М.: Педагогика, 1958. С. 478 - 482.
269. Макарова Т.С. Отраслевой тезаурус в информационно-поисковой системе // Научные и технические библиотеки. 2002. - № 5. - С. 92 - 97.
270. Максимова В.Н. Акмеологическая теория в контексте проблемы качества образования // Педагогика. 2002. - № 2. - С. 9 - 14.
271. Малькова З.А. США: поиски решения стратегической задачи школы // Педагогика. 2000. - № 1. - С. 82 - 92.
272. Мальцева В.М. Заметки православного педагога // Педагогика. 1995. -№ 4. - С. 55 - 59.
273. Мануйлов Ю.С. Средовой подход в воспитании // Педагогика. 2000. -№7.-С. 36-41.
274. Марков А.П. Кризис идентичности и ресурсы гуманитарного образования // Педагогика. № 7. - 2001. - С. 12 - 17.
275. Марчук Ю.Н. Основы терминографии. М.: МГУ, 1992. - 76 с.
276. Матвеев О.К разработке концепции казачьего образования // Педагогика. -2000.-№4.-С. 100- 102.
277. Медведева Е.А., Левченко И.Ю. Артпедагогика и арттерапия. М.: Академия, 2001.-234 с.
278. Мельников Г.П. Основы терминоведения. М.: РУДН, 1991. - 115 с.
279. Менеджмент в управлении школой: Уч. пособие / Науч. ред. Т.И.Шамова. М.: МИП «NB Магистр», 1992. - 231 с.
280. Методические рекомендации по гармонизации терминологии на национальном и международном уровне. Р 50 603 - 2 - 93. - М., 1993. - 48 с.
281. Методические указания для студентов по изучению терминов в курсе педагогики. Пятигорск: Изд-во ПГПИИЯ, 1984. - 42 с.
282. Методологические знания и их роль в развитии педагогической науки и практики обучения и воспитания: методическое пособие / Под ред. Н.Д.Никандрова, В.С.Шубинского. М.: Пед. общество, 1988. - 80 с.
283. Методологические проблемы развития педагогической науки / Под ред. П.Р.Атутова, М.Н.Скаткина, Я.С.Турбовского. М.: Педагогика, 1985. - 240 с.
284. Микаберидзе Г.В. Исследование проблем образования в Южной Корее // Педагогика. 1999. - № 2. - С. 96 - 102.
285. Миськевич Г.И. Некоторые наблюдения над новыми терминами // Исследования по русской терминологии. М.: Наука, 1971. - С. 166 - 182.
286. Мишланова С.Л. Терминоведение XXI века: история, направления, перспективы // Филологические науки. 2003. - № 2. - С. 94 - 101.
287. Монахов В.М. Технологические основы проектирования и конструирования учебного процесса. Волгоград: Перемена, 1995.
288. Морковкин В.В. Основы теории учебной лексикографии: Дис. докт. фи-лол. наук. М., 1990. - 71 с.
289. Морозов Г.И. Изучение процессов образования, функционирования и развития терминов. Биосферный подход / Научно-техническая терминология. -М.: ВНИИКИ, 1999. Вып. 1 - 2. - С. 16.
290. Морозов Г.И. Об унификации определений в словарях: Биосферный подход // Научно-техническая терминология. М.: ВНИИКИ, 2000. - С. 62.
291. Мудрик А.В. Социализация и воспитание. М.: Сентябрь, 1997. - 96 с.
292. Назарова Т.С. Педагогические технологии: новый этап эволюции? // Педагогика. 1997. - № 3. - С. 20 - 27.
293. Найн А.Я. Общенаучные понятия в педагогике // Педагогика. 1992. -№7.-С. 10- 15.
294. Найн А.Я. Вопросы систематизации категорий педагогики // Понятийный аппарат педагогики и образования. Екатеринбург: Урал ГПУ, 1995. - С. 127 -134.
295. Национальная идея: образование и воспитание. Философско-методо-логические и региональные аспекты. Чита: Изд-во ЧГГГУ, 1998. - 480 с.
296. Национальные ценностные приоритеты сферы образования и воспитания (вторая половина XIX 90-е гг. XX вв.) / Под ред. З.И.Равкина. - М.: ИТОП РАО, 1997.-411 с.
297. Никандров Н.Д. Понятийный аппарат педагогики и образования: перспективы исследований // Педагогика. 1996. - № 3. - С. 112-114.
298. Никандров Н.Д. Нравственные уроки православия // Педагогика. 1997.
299. Никитина М.И. Развитие высшего специального образования в России: состояние, проблемы // Актуальные проблемы обучения, адаптации и интеграции детей с нарушениями развития. СПб.: Образование, 1995. - С. 54 - 55.
300. Никитина С.Е. Семантический анализ языка науки. (На материале лингвистики). М.: Наука, 1987. - 276 с.
301. Никольская А.А. Методы и формы обучения в историческом ракурсе // Педагогика. 1999. - № 5. - С. 52 - 56.
302. Новиков А.О. О национальном характере образования и воспитания // Народное образование. 2001. - № 1. - С. 47.
303. Новиков П.М., Зуев В.М. Опережающее профессиональное образование: Научно практическое пособие. - М.: РГАТ и 3, 2000. - 266 с.
304. Новикова А.А. Метонимия в русском языке. Семантическая структура, словообразовательный потенциал, стилистические функции: Автореф. дис. канд. филол. наук. М., 1996. - 19 с.
305. Новикова А.А. Медиаобразование в англоязычных странах // Педагогика. -2001.-№5.-С. 87-91.
306. Новикова Л.И. Воспитание как педагогическая категория // Педагогика. -2000. № 6. - С. 28 - 35.
307. Новодранова В.Ф. Когнитивные науки и терминология // Научно-техническая терминология. Вып. 2. М., 2000. - С. 69 - 70.
308. Новодранова В.Ф. Когнитивные аспекты терминологии // Материалы 1-ой международной школы-семинара по когнитивной лингвистике. Ч. 1. Тамбов, 1998.-С. 10- 15.
309. Новые педагогические и информационные технологии в системе образования: Учеб. пособие / Е.С.Полат, М.Ю.Бухаркина, М.В.Моисеева, А.Е.Петрова. М.: Академия, 2001. - 224 с.
310. Новый словарь русского языка. Толково-словообразовательный. М.: Русский язык, 2000. - Т. 1: А - О. - 1209 с.
311. Новый словарь русского языка. Толково-словообразовательный. М.: Русский язык, 2000. - Т. 2: П - Я. - 1088 с.
312. Об утверждении Примерного положения о попечительском совете общеобразовательного учреждения. Приказ Минобразования России от 24.01.2000. № 221.
313. Об утверждении Федеральной программы развития образования // Вестник образования, 2000. -№12.-36с.
314. Образование: идеалы и ценности / Под ред. З.И.Равкина. М.: ИТП и О РАО, 1995.-631 с.
315. Общие основы педагогики / Под ред. Ф.Ф.Королева и В.Е.Гмурмана. М.: Просвещение, 1967. - 392 с.
316. Ожегов С.И. Словарь русского языка. Изд. 8 е. - М.: Советская энциклопедия, 1970. - 900 с.
317. ЗЗЗ.Онушкин В.Г., Огарев Е.И. Образование взрослых: междисциплинарный словарь терминологии. СПб. - Воронеж: ВИПКРО, 1995. - 232 с.
318. Орлинкова Н.В. Краткий толковый словарь психологических терминов. -Пятигорск: Изд-во ПГЛУ, 1998. 126 с.
319. Орлов А.А. Мониторинг инновационных процессов в образовании // Педагогика. № 3. - 1996. - С. 9 - 15.
320. Орлов А.А. Стандарты высшего педагогического образования: пути совершенствования // Педагогика. 2000. - № 2. - С. 48 - 51.
321. Орлов В.Б. Опыт подготовки предпринимателя // Педагогика. 2001. -№2.-С. 58-65.
322. Остражкова Н.С. К проблеме понимания педагогических терминов // Языки профессиональной коммуникации. Челябинск, 2003. - С. 530 - 533.
323. Осухова Н.Г. Психодрама: помощь детям, пережившим насилие // Педагогика. 2001. - № 3. - С. 86 - 96.
324. Павлова Е.К. Политическая лексика XXI века: новая политика новый язык // Языки профессиональной коммуникации. - Челябинск: Изд-во ЧТУ, 2003. - С. 424 - 430.
325. Педагогика / Под ред. проф. П.Н.Груздева. М.: Учпедгиз, 1940. - 623 с.
326. Педагогика: Курс лекций / Под общ. ред. Г.И.Щукиной, Е.Я.Голанта, К.Д.Радиной. М.: Педагогика, 1966. — 648 с.
327. Педагогика / Н.И.Болдырев, Н.К.Гончаров, Б.П.Есипов, Ф.Ф.Королев. -М.: Педагогика, 1968. 339 с.
328. Педагогика / Под ред. Ю.К.Бабанского. М.: Педагогика, 1983. - 608 с.
329. Педагогика / Под ред. Н.Г.Нойнера, Ю.К.Бабанского. М.: Педагогика, 1984.-368 с.
330. Педагогика: Учеб. пособие / Под ред. П.И.Пидкасистого. М.: Педагогическое общество России, 1998. - 640 с.
331. Педагогика: Учеб. пособие / В.А.Сластенин, И.Ф.Исаев, А.И.Мищенко, Е.Н.Шиянов. М.: Школа - Пресс, 2000. - 512 с.
332. Педагогическая энциклопедия / Под ред. А.Г.Калашникова. При участии М.С.Эпштейна. Т. 1. - М.: Работник просвещения, 1927 - 1929. - 650 с.
333. Педагогическая энциклопедия / Под ред. А.Г.Калашникова. При участии М.С.Эпштейна. Т. 2. - М.: Работник просвещения, 1927 - 1929. - 635 с.
334. Педагогическая энциклопедия / Под ред. А.Г.Калашникова. При участии М.С.Эпштейна. Т. 3. - М.: Работник просвещения, 1927 - 1929. - 895 с.
335. Педагогическая энциклопедия: В 4-х т. / Гл. ред. И.А.Каиров и Ф.Н.Петров. М.: Советская энциклопедия, 1964 - 1968.
336. Педагогический словарь: В 2 т.: Т. 1 / Ред. Каиров И.А. М.: АПН РСФСР, 1960.-774 с.
337. Педагогический словарь: В 2 т.: Т. 2 / Ред. Каиров И.А. М.: АПН РСФСР, 1960.-766 с.
338. Педагогический энциклопедический словарь / Гл. ред. Б.М.Бим-Бад. М.: Большая Российская энциклопедия, 2002. - 528 с.
339. Педагогическое речеведение: Словарь-справочник.- 2-е изд., испр. и доп. М.: Флинта: Наука, 1998. - 312 с.
340. Перминова JI.M. Минимальное поле функциональной грамотности // Педагогика. 1999. - № 2. - С. 26 - 29.
341. Пимчев С.П. Ретроспективный анализ как метод прогностических исследований // Современные проблемы историко-педагогических исследований. М.: Ротапринт ИТП и МИО РАО, 1992. - С. 33 - 36.
342. Пинский А.О. О культурно образовательных инициативах и инновационных школах // Мир образования. - 1997. - № 3. - С. 20 - 22.
343. Пискунов А.И. Педагогическое образование: концепция, содержание, структура // Педагогика. 2001. - № 3. - С. 41 - 48.
344. Платонов К.К. Краткий словарь системы психологических понятий. М.: Высшая школа, 1984. - 174 с.
345. Полат Е.С. Портфель ученика // Иностранные языки в школе. 2002. -№ 1.-С. 22-24.
346. Политкина Г.А. Проблема паратермина и ее лексикографическое отражение // Проблемы английской лексикологии и лексикографии. М.: Изд-во МГПИИЯ им. М. Тореза, 1985. - С. 102 - 105.
347. Полонский В.М. Методика составления информационно-поискового тезауруса по народному образованию и педагогике. Per. номер 446.89. 28 с.
348. Полонский В.М. Народное образование. Педагогика. Рубрикатор. М.: Наука, 1998. - 152 с.
349. Полонский В.М. Понятийно-терминологический аппарат педагогики // Педагогика. 1999. - № 8. - С. 16 - 23.
350. Полонский В.М. Понятийно-терминологический аппарат педагогики // Поиск.- 1999.-№39.-С. 8.
351. Полонский В.М. Словарь понятий и терминов по образованию и педагогике. М., 2000. - 368 с.
352. Полонский В.М. Тезаурус информационно-поисковый по народному образованию и педагогике. М.: Изд-во ИПКИР, 2000. - 348 с.
353. Полонский В.М. Словарь понятий и терминов по законодательству Российской Федерации об образовании. М., 1995. - 80 с.
354. Понятийный аппарат педагогики и образования. Вып. I. Екатеринбург: Изд-во Урал ГПУ, 1995. - 362 с.
355. Понятийный аппарат педагогики и образования. Вып. 2. Екатеринбург: Изд-во Урал ГПУ, 1996. - 280 с.
356. Понятийный аппарат педагогики и образования. Вып.З. - Екатеринбург: Изд-во Урал ГПУ, 1998. - 275 с.
357. Понятийно-терминологический аппарат учебного курса «Педагогика». -Барнаул: Изд во БГПИ, 1988. - 42 с.
358. Поташник М., Моисеев А. Управление современной школой: (В вопросах и ответах). М.: Новая школа, 1997. - 352 с.
359. Почепцов Г.Г. Информационные войны. М.: Рефл - бук, 2000. - 574 с.
360. Проблемы и перспективы интеграции высшей школы России в мировую систему образования и науки: Материалы международной научной конференции (Воронеж, 20 21 февраля 2001): Ч. 1. - Воронеж: Изд-во ВГУ, 2001. -170 с.
361. Проблемы методологии и методики исследований / Под ред. М.А.Данилова, Н.И.Болдырева. М.: Педагогика, 1971. - 350 с.
362. Программа развития воспитания в системе образования России на 1999 -2001 годы // Вестник образования. 2000. - № 1 - 2.
363. Программы семилетней единой трудовой школы. М., 1921. - С. 330 - 335.
364. Прокофьева Т.Н., Удалова Е.А. Интертипные отношения // Геометрия ин-тертипных отношений. М.: Логос, 1997. - С. 5 - 12.
365. Прохорова В.Н. Об эмоциональности термина // Лингвистические проблемы научно технической терминологии. - М.: Наука, 1970. - С. 153 - 157.
366. Прохорова В.Н. Лексико-семантическое образование в русской терминологии. М.: ИПО «Лев Толстой», 1996. - 125 с.
367. Прутченков В.Г. Возможности игровой технологии: понятия и термины // Педагогика. 1999. - № 3. - С. 121 -126.
368. Психология: Словарь / Под ред. А.В.Петровского, М.Г.Ярошевского. М.: Политиздат, 1990. - 494 с.
369. Психолого-педагогический словарь. Ростов н/Дону: Феникс, 1998. - 544 с.
370. Пухова А. Образование в России: история, современность, проблемы развития // Петербургский аналитик. 1999. - № 7. - С. 24 - 33.
371. Пушкарева H.JI. Гендерная асимметрия современной социализации и перспективы тендерной педагогики // Гендерный подход в дошкольной педагогике: теория и практика. Мурманск, 2001. -Ч. 1.-С.25 - 32.
372. Равкин З.И. Актуальные проблемы методологии историко-педашгических исследований. М.: Ротапринт ИТП и МИО, 1993. - 93 с.
373. Равкин З.И. Конструктивно-генетическое исследование ценностей образования одно из направлений развития современной отечественной педагогической теории // Образование: идеалы и ценности. - М.: ИТП и О РАО, 1995. - С. 8 - 35.
374. Равкин З.И. Аксиологические приоритеты в сфере образования и воспитания (история и современность). М.: ИТП и О РАО, 1996. - 56 с.
375. Разумный В.А. Содержание образования: единство знаний, эмоций и веры // Педагогика. № 5. - 1998. - С. 17 - 21.
376. Рахманин B.C. Пять дилемм высшего образования // Проблемы и перспективы интеграции высшей школы России в мировую систему образования и науки. Материалы международной научной конференции. Воронеж, 20-21 февраля 2001. Ч. 1. Воронеж, 2001. - С. 82.
377. Раченко И.П. Интегративная педагогика: (организационно методическое пособие в 3-х частях). - Пятигорск: Изд-во ПГЛУ, 1998. - Ч. 1. - 212 с.
378. Революция Искусство - Дети. Из истории эстетического воспитания в советской школе 1924 - 1929 гг. - М.: Наука, 1968. - 236 с.
379. Реформатский А.А. Что такое термин и терминология // Вопросы терминологии. М.: Изд-во АН СССР, 1961. - С. 46 - 54.
380. Рогачева Е.Ю. Биографический подход к изучению истории педагогики // Современные проблемы историко-педагогических исследований. М.: Ротапринт ИТП и МИО РАО, 1992. - С. 36 - 38.
381. Розин В. Философия образования: предмет, концепция, направления изучения // Alma mater. 1991. - № 1.
382. Розов Н.С. Философия гуманитарного образования: Ценностные основания и концепция фазового гуманитарного образования. М., 1993. - 194 с.
383. Российская педагогическая энциклопедия: В 2 т.: Т. 1: А-М / Ред. В.В.Давыдов. М.: Большая Российская энциклопедия, 1993. - 607 с.
384. Российская педагогическая энциклопедия: В 2 т.: Т. 2: М-Я / Ред. В.В.Давыдов. М.: Большая Российская энциклопедия, 1998. - 672 с.
385. Россия в цифрах: Краткий статистический сборник / Госкомстат РФ по статистике. М.: Госкомстат, 1998. - 429 с.
386. Русский язык конца XX столетия (1985 1995): Коллективная монография / Отв. ред. Е.А.Земская. - М.: Языки русской культуры, 2000. - 478 с.
387. Рыков C.JI. Тендерные исследования в педагогике // Педагогика. 2001. -№ 7.-С. 17-22.
388. Рябов Г.П. Проект создания центра межэтнической и межкультурной коммуникации // Тезисы III Международного конгресса «Мир на Северном Кавказе через языки, образование, культуру». Пятигорск: Изд-во ПГЛУ, 2001. -Пятигорск: ПГЛУ, 2001. - С. 29 - 30.
389. Саранцев Г.И. Метод обучения как категория методики преподавания // Педагогика. 1998. - № 1. - С. 28 - 34.
390. Саранцев Г.И. Теория, методика и технология обучения // Педагогика. -1999. -№ 1.-С. 19-24.
391. Саранцев Г.И. Формы обучения в средней школе // Педагогика. 2002. -№ 2. - С. 34 - 40.
392. Саранцев Г.И., Кутьев В.О. Круглый стол. Учитель для национального региона: каким ему быть? // Педагогика. 2002. - № 8. - С. 48 - 60.
393. Свинина Н.Г. Жизненный опыт учащихся в контексте личностно ориентированного образования // Педагогика. 2001. - № 7. - С. 27 - 31.
394. Селевко Г.К. Современные образовательные технологии. М.: Народное образование, 1998. - 256 с.
395. Селиванова H.JI. Современные представления о воспитательном пространстве // Педагогика. 2000. - № 6. - С. 35 - 39.
396. Семейное воспитание: Краткий словарь. М.: Политическая литература, 1990.-319 с.
397. Сенько Ю.В. Педагогический процесс гуманитарный феномен // Педагогика. - 2002. - № 1. -С.11 - 17.
398. Симоненко В.Д., Степченко Т.А. Потребительская культура в содержании образования школьников // Педагогика. 1999. - № 4. - С. 45 - 49.
399. Симонов В.П. Педагогический менеджмент: 50 ноу-хау в области управления образовательным процессом. М.: Роспедагенство, 1997. - 264 с.
400. Синергетика и сопредельные науки / Сост. Г.Ф.Половцева, Б.Н.Пойзнер. -Томск: ТГУ, 1993. 54 с.
401. Синергетика и учебный процесс / Под ред. В.С.Егорова, В.И.Корниенко. -М.-.РАГС, 1999.-299 с.
402. Ситаров В.А., Маралов В.Г. Педагогика и психология ненасилия в образовательном процессе / Под ред. В.А.Сластенина. М.: Академия, 2000. - 216 с.
403. Ситуационная методика обучения: Теория и практика / Сост. Сидоренко А.И., Чуба В.И. Киев: Центр инноваций и развития, 2001. - 256 с.
404. Ситуационный анализ, или Анатомия кейс-метода / Под ред. Ю.П.Сур-мина. Киев: Центр инноваций и развития, 2002. - 286 с.
405. Скаткин М.Н. Предисловие // Кантор И.М. Понятийно-терминологическая система педагогики. М.: Педагогика, 1980.-С.3-7.
406. Скаткин М.Н. Методология и методика педагогических исследований. -М.: Педагогика, 1986. 150 с.
407. Скворцов JI.B. Россия: социальное самосознание на историческом переломе // Октябрь. 1995. - № 11. - С. 155 - 167.
408. Скворцов Л.И. Норма. Литературный язык. Культура речи // Актуальные проблемы культуры речи. М.: Наука, 1970. - С. 40 - 103.
409. Скворцов Л.И. Терминология и культура речи (заметки языковеда) // Исследования по русской терминологии. М.: Наука, 1971.-С. 218 - 230.
410. Словарь социального педагога. Кустанай, 1998. - 107 с.
411. Словарь терминов по истории педагогики. Пятигорск: Изд-во ПГЛУ, 1997. -72 с.
412. Словарь терминов по сравнительной педагогике и истории педагогической мысли. Пятигорск: Изд-во ПГЛУ, 1998. - 94 с.
413. Словарь по коррекционной педагогике и специальной психологии / Сост. Н.В.Новоторцева. Ярославль: Академия развития, 1999. - 143 с.
414. Словник педагогического словаря. М.: Изд-во АПН РСФСР, 1957. - 55 с.
415. Словник понятийно-терминологического словаря. М.: Ротапринт НИИ ОП АПН СССР, 1972. - 54 с.
416. Словник понятийно-терминологического словаря. М.: Ротапринт НИИ ОП АПН СССР, 1974. - 20 с.
417. Сложеникина Ю.В. Терминология коррекционной педагогики: лексико-семантический аспект: Дис. канд. филол. наук. М., 2000. - 187 с.
418. Смертина А.С. Личностно ориентированный подход в системе образования // Наука и школа. - 1998. - № 1. - С. 10.
419. Смирнов В.И. Общая педагогика в тезисах, дефинициях и иллюстрациях. М.: Педагогическое общество России, 2000. - 416 с.
420. Советский энциклопедический словарь.- М.: Советская энциклопедия, 1990. 1630 с.
421. Современные проблемы терминологии в науке и технике / Ред. В.С.Куле-бакин. М.: Наука, 1969. -160 с.
422. Современный словарь иностранных слов. М.: Русский язык, 2000. - 740 с.
423. Современный словарь по педагогике / Сост. Рапацевич Е.С. Мн.: Современное слово, 2001. - 928 с.
424. Солсо P.JI. Когнитивная психология. М.: Тривола, 1996. - 598 с.
425. Социальная педагогика / Под ред. В.А.Никитина. М.: Владос, 2000. -272 с.
426. Спичкин А.В. Что такое медиаобразование. Курган: Изд-во ИПК работников образования, 1999. - 114 с.
427. Сравнительный двуязычный словарь по педагогике и образованию: проблемы и возможности // Понятийно-терминологический аппарат педагогики и образования. Екатеринбург, 1995. - С. 202 - 208.
428. Станкин М.И. Профессиональные способности педагога: Акмеология воспитания и обучения. М.: Флинта, 1998. - 364 с.
429. Стефановская Т.А. Педагогика: наука и искусство. М.: Совершенство,1998. 368 с.
430. Стефановская Т.А. Классный руководитель (вчера, сегодня, завтра). Монография. Иркутск, 2002. - 304с.
431. Строкова Т.А. Педагогическая поддержка и помощь в современной образовательной практике // Педагогика. 2002. - № 4. - С. 20 - 27.
432. Сулима И.И. Философская герменевтика и образование // Педагогика.1999. -№ 1. С. 36-43.
433. Суперанская А.В., Подольская Н.В., Васильева Н.В. Общая терминология: Вопросы теории / АН СССР. Ин-т языкознания. М.: Наука, 1989. - 245 с.
434. Супрунова JI.JI. Основные направления поликультурного образования студентов гуманитарного вуза // Тезисы III Международного конгресса «Мир на Северном Кавказе через языки, образование, культуру». Пятигорск: Изд-во ПГЛУ, 2001. - С. 34-35.
435. Сурыгин А.И. Дидактический аспект обучения иностранных учащихся. -СПб.: Нестор, 2000. 391 с.
436. Табанакова В.Д. Идеографический словарь активного типа // Языки профессиональной коммуникации. Материалы международной научной конференции. Челябинск: Изд-во ЧТУ, 2003. - С. 555 - 559.
437. Таранова Е.В. Артпедагогическая среда как фактор нравственного воспитания дошкольника П Педагогическая наука региону. Материалы Всероссийской научно - практической конференции, 22-23 апреля 2003 г. - Ставрополь: Изд-во СГПИ, 2003. - С. 265 - 267.
438. Татаринов В. А. Исторические и теоретические основания терминоведения как отрасли отечественного языкознания: Дис. докт. филол. наук. М., 1996.-510 с.
439. Татаринов В.А. Теория терминоведения: В 3 т. Т. 1. Теория термина: история и современное состояние. - М.: Московский лицей, 1996. - 311 с.
440. Татаринов В.А. История отечественного терминоведения: В 3 т. Т. 2: Направления и методы терминологических исследований. Кн. 1.- М.: Московский лицей, 1995. - 334 с.
441. Татаринов В.А. История отечественного терминоведения: В 3 т. Т. 2. Кн. 2.: Направления и методы терминологических исследований: Очерк и хрестоматия. - М.: Московский лицей, 1999. - 312 с.
442. Татарникова Л.Г. Педагогическая валеология: Генезис. Тенденции развития. СПб.: Петроградский и К, 1997. - 416 с.
443. Татьянченко Д.В., Воровщиков С.Г. Управление качеством образования: вхождение в проблему. Челябинск: ПО «Книга», 1995. - 105 с.
444. Телия В.Н. Коннотативный аспект семантики номинативных единиц. М.: Наука, 1986. - 143 с.
445. Терминология и норма: О языке терминологических стандартов / АН СССР. Ин т рус. яз. - М.: Наука, 1972. - 120 с.
446. Термины синергетики: Учебный словарик / Сост. Б.Н.Пойзнер, Т.А.Тух-фатуллин. Томск, 1991. - 36 с.
447. Тихомиров В.П., Солдаткин В.И., Семенова А.С. Принципы образовательного франчайзинга // Материалы VI Международной конференции по ДО (Россия, Москва, 25 27 ноября 1998 г.). - М., 1998. - С. 472 - 486.
448. Ткаченко А. На уроке диалог культур // Народное образование. - 1998. -№5.-С. 43-44.
449. Толикина Е.Н Некоторые лингвистические проблемы научно-технической терминологии // Лингвистические проблемы научно-технической терминологии. М.: Наука, 1970. - С. 53 - 67.
450. Толикина Е.Н, Синонимы или дублеты // Исследования по русской терминологии. М.: Наука, 1974. - С. 78 - 90.
451. Толковый словарь русского языка конца XX века: Языковые изменения / Ред. Г.Н.Скляревская. СПб: Фолио, 1998. - 700 с.
452. Торохова Е.И. Валеология: Словарь. М.: Флинта; Наука, 1999. -242 с.
453. Третьяков П.И. Управление школой по результатам: Практика педагогического менеджмента. М.: Новая школа, 1998. - 228 с.
454. ТРИЗ педагогика // Новые ценности образования. Вып.1. - М.: Издательский центр УРАО, 2003. - 134 с.
455. Троицкий В.Ю. Русская школа и современное состояние образования // Педагогика. 2001. - № 7. - С. 22 - 26.
456. Трофимова Е.И. Терминологические вопросы в тендерных исследованиях // Общественные науки и современность. 2002. - № 6. - С. 178 - 188.
457. Тузлукова В.И. Международная педагогическая лексикография в едином поликультурном информационно-исследовательском и образовательном пространстве (теория, практика, перспективы развития). Ростов н/Дону, 2002. — 156 с.
458. Туранин В.Ю. Проблемы и перспективы унификации терминологии // Российское право. 2002. - № 11. - С. 46 - 48.
459. Туранин В.Ю. Проблемы формирования и функционирования юридической терминологии в гражданском законодательстве РФ: Автореф. дис. канд. юрид. наук. Белгород, 2002. - 22 с.
460. Тхагапсоев Х.Г. О новой парадигме образования // Педагогика. 1999. -№ 1.-С. 103 - 110.
461. Уваров Н.Н. Имидж руководителя системы образования // Педагогика. -2001.-№7. -С. 63 -66.
462. Управление качеством образования / Под ред. М.М.Поташника. М.: Педагогическое общество России, 2000. - 441с.
463. Уфимцева А.А. Слово в лексико-семантической системе языка. М.: Наука, 1968. - 272 с.
464. Уфимцева А.А. Теории семантического поля и возможности их применения при изучении словарного состава языка // Вопросы теории языка в современной лингвистике. М.: Просвещение, 1961. - С. 64 - 72.
465. Федоров А.В. Терминология медиаобразования // Искусство и образование. 2000. - № 2. - С. 33 - 38.
466. Федоров А.В., Новикова А.А. Основные теоретические концепции медиа-образования // Вестник РГНФ. 2002. - № 1. - С. 149 - 158.
467. Федорова С.Н. Этнокультурные традиции воспитания в современной марийской системе образования: Автореф. дис. канд. пед. наук. М., 1998. - 19 с.
468. Филонов Г.Н. Воспитательный процесс: методология и специфика исследований // Педагогика. 2000. - № 9. - С. 11 - 17.
469. Филонов Г.Н. Феномен гражданственности // Педагогика. 2002. - № 10. -С. 24-29.
470. Филонов Г.Н. Черенкова С.В. Тенденции развития теории и практики воспитания // Педагогика. 1993. - № 1. - С. 33 - 38.
471. Философская и педагогическая антропология. 1-е Соколовские чтения. Материалы региональной научно-теоретической конференции. Нижневартовск: Изд-во НПИ, 1998. - 156 с.
472. Философский словарь / Ред. И.Т.Фролов. М.: Политиздат, 1991. - 560 с.
473. Фомичева И.Г. Теоретико-методологические основания структуризации педагогического знания // Педагогика. 2001. - № 9. - С. 11 - 19.
474. Хайруллин Г.Т. О понятийном аппарате педагогики // Педагогики. 1991. -С. 56 - 60.
475. Хершген X. Маркетинг. Основы профессионального успеха: Учеб. для вузов: Пер. с нем. М.: ИНФРА - М, 2000. - 324 с.
476. Хижняк С.П. Формирование и развитие терминологичности в языковой системе (на материале юридической терминологии): Автореф. дис. докт. фи-лол. наук. Саратов, 1998. - 43 с.
477. Христова E.JI. Народная педагогика: Историографические и теоретико-методологические проблемы: Автореф. дис. канд. пед. наук. -М.,1988. 18 с.
478. Хузиахметов А.Н. Социализация и индивидуализация личности школьника. Казань, 1998. - 288 с.
479. Хюбнер К. Истина мира. М.: Республика, 1996. - 448 с.
480. Цветкова А.Г. Акмеологические подходы к вузовской подготовке учителей // Педагогика. 1997. - № 1. - С. 56 - 58.
481. Чалов А. Педагогический менеджмент. Мода? Необходимость? Болезнь! // Педагогика. 2004. - № 2. - С. 103 - 107.
482. Чошанов М.А. Гибкая технология проблемно-модульного обучения. М.: Народное образование, 1996. - 158 с.
483. Чошанов М.А. Школьная оценка: старые проблемы и новые перспективы // Педагогика. 2000. - № 10. - С. 95 - 102.
484. Чудинов А.П. Россия в метафорическом зеркале: Когнитивное исследование политической метафоры (1991 2000). - Екатеринбург, 2001. - 238 с.
485. Шаповалова B.C. Словарь-минимум внутришкольного управления. Таганрог: Изд-во ТГПИ, 2000. - 52 с.
486. Шаповалова B.C. Становление понятийного аппарата теории внутришкольного управления в России: Автореф. дис. канд. пед. наук. Таганрог, 2000. - 21 с.
487. Шевченко Е.В. Толковый словарь терминов на английском языке в области международного образования. СПб.: Изд-во СПб ГТУ, 1998. - 62 с.
488. Шелов С.Д. Построение терминологической базы знаний и анализ понятийной структуры терминологии // НТИ. Сер. 2. 1998. - № 5. - С. 3 - 8.
489. Шепель В.М. Поиск новой парадигмы воспитания // Педагогика. 1991. -№ 7. - С. 53 - 56.
490. Шилова М.И. , Малиновская Н.И. Черты национального характера: российский вариант // Педагогика. 2002. - № 8. - С. 24 - 28.
491. Шилова О.Н. Теоретические основы становления информационно-педагогического тезауруса студентов в системе высшего педагогического образования: Автореф. дис. .докт. пед. наук СПб., 2001. - 45 с.
492. Ширшов В.Д. Введение в педагогическую семиотику // Педагогика. -2001.-№6.-С. 28-32.
493. Шиян О.М. Аутопедагогическая компетентность учителя // Педагогика. -1999.-№1.-С. 63 -68.
494. Шмелев Д.Н. Современный русский язык. Лексика. М.: Просвещение, 1977.-335 с.
495. Шоров И.А., Меретуков К.Х. Русско-адыгейский словарь педагогических терминов. Майкоп, 1995. - 255 с.
496. Штинова Г.Н. Структура и функции понятийно-терминологической системы педагогики и образования: Автореф. дис. канд. пед. наук. Екатеринбург, 1996. - 21 с.
497. Штылева Л.В. Основные понятия и важнейшие термины // Тендерный подход в дошкольной педагогике: теория и практика. Мурманск, 2001. - С. 77 - 87.
498. Шубинский B.C. Развиваются ли методы исследований? // Педагогика. -1991,-№7.-С. 48-52.
499. Энциклопедия профессионального образования: В 3 т. Т. 2. - М.: Ассоциация «Профессиональное образование», 1999. - 580 с.
500. Эрдниев П., Эрдниев Б. Время биодидактики // Учительская газета. -2002. 7 мая.
501. Юсуфбекова Н.Р. Общие основы педагогических инноваций: Опыт разработки теории инновационного процесса в образовании. М.: Педагогическое общество, 1991.-91 с.
502. Юсуфбекова Н.Р. Педагогическая инноватика: проблемы и перспективы развития // Новые достижения и передовой опыт. М., 1992. - С. 30 - 31.
503. Юшманов Н.В. Элементы международной терминологии: Словарь-справочник. М.: Наука, 1968. - 72 с.
504. Якиманская И.С. Личностно ориентированное обучение в современной школе. М.: Сентябрь, 1996. - 96 с.
505. Якиманская И., Рыжухина И. Предмет анализа субъектный опыт // Директор школы. - 1999. - № 8. - С. 53.
506. Ямбург Е.А. Школа на пути к свободе: Культурно-историческая педагогика. М.: ПЕРСЭ, 2000. - 351 с.
507. Ямбург Е.А. Контуры культурно-исторической педагогики // Педагогика. -2001. -№ 1.-С. 3 10.
508. Яркина Т.Ф. Западные педагоги о развитии современной школы // Советская педагогика. 1991. - № 12. - С. 121 - 128.
509. Ярошенко А.С. Традиции воспитания в среде казачества // Педагогика. -1994. -№ 4. -С. 122- 123.
510. Ярцева В.Н. Научно-техническая революция и развитие языков // Научно-техническая революция и функционирование языков мира. М.: Высшая школа, 1977.-С. 21 -36.
511. Armiravalli R. Dictionaries are unpredictable. ELT Journal 53/4 October. 1999. Oxford University Press. - P. 262 - 264.
512. Dearden R.F. Philosophy of Education in 1952 82 11 British Journal of Educ-tional Studies. - 1982. - № 1. - P. 68.
513. Dobrovolski A.B. Pisma pedagogiczne // Nova didaktyka. T. 2. - Oprac. Komitet Pedakcyjny. - Warszawa, 1960. - P. 36.
514. Hirst P.H. Philosophy and Educational Theory // British Journal of Eductional Studies. 1963. - № 12. - P. 3 - 7.
515. Komiszewski F. Terminologia w pedagogice // Pedagogika na uslugach szkoty. Warszawa, PZWSz, 1964. - P. 55 - 62.
516. The UNESCO. IBE. Education thesaurus. Geneva, 1983. - 356 p.
517. Vanya I. О metodologickych problemech v rosvoji pedagogicke teorie. Pedagogika. - 1962. - № 3.
518. Woods R.G., Barrow R.St. An Introduction to Philosophy of Education. London, 1977. - P. 8 - 10.
519. World education encyclopedia. Ed. by G. Th. Kurian. N.Y. - Oxf., 1988.
```
[ext[ссылка|https://cyberleninka.ru/article/n/formirovanie-professionalnogo-tezaurusa-lichnosti-kak-tsel-professionalnogo-obrazovaniya]]
Рассматривая представления тезауруса с позиций категорий диалектики, как это сделала А. А. Никитина, можно выделить следующие уровни:
а) ''категориальный уровень'' представления тезауруса (тезаурус как единое мировое пространство) представляется как картина мира, выраженная в понятиях и связях между ними (всеобщее);
б) ''конкретно-научный уровень (''тезаурусы наук, входящих в предметные области) представляется как синтаксически-детерминированный открытый информационный базис определенной научной области, семантически структурированный в соответствии с имеющимися на данный момент специфическими для нее отношениями (общее);
в) ''уровень учебной дисциплины'' (тезаурусы учебных дисциплин) рассматривается как логически замкнутое подмножество соответствующего научного тезауруса, предназначенного для усвоения человеком с целью его успешного ориентирования и функционирования в рассматриваемой предметной области (особенное);
г) ''личностный уровень'' - тезаурус специалиста, присвоенный человеком тезаурус учебной дисциплины, составляющий запас его знаний, умений, опыта, образов-ассоциаций, оценок соответствующей предметной области под влиянием определенных условий (единичное) [4].
В образовательном контексте выделенные уровни представления тезауруса позволяют определить обучение как становление и развитие тезауруса специалиста. Под развитием подразумевается не столько увеличение/обогащение информации тезауруса за счет появления в нем новых знаний, сколько за счет усложнения и совершенствования его внутренней структуры, заключающейся в многообразии связей между имеющимися знаниями [5].
Абдулмянова И.Р. Формирование специального двуязычного тезауруса как составляющего компонента языковой личности переводчика в экономической сфере (французский язык)
[[Абдулмянова Содержание]]
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=1018730]]
*[ext[ссылка ар|https://new-disser.ru/_avtoreferats/01004139302.pdf]]
```
{{air_ar_s3_1}}*[[air_ar_s3_1]]
{{air_ar_s3_2}}*[[air_ar_s3_2]]
{{air_ar_s3_3}}*[[air_ar_s3_3]]
{{air_ar_s3_4}}*[[air_ar_s3_4]]
{{air_ar_s3_5}}*[[air_ar_s3_5]]
{{air_ar_s3_7}}*[[air_ar_s3_7]]
{{air_ar_s4_6}}*[[air_ar_s4_6]]
{{air_ar_s4_7}}*[[air_ar_s4_7]]
{{air_ar_s4_8}}*[[air_ar_s4_8]]
{{air_ar_s4_9}}*[[air_ar_s4_9]]
{{air_ar_s5_1}}*[[air_ar_s5_1]]
{{air_ar_s5_2}}*[[air_ar_s5_2]]
{{air_ar_s5_3}}*[[air_ar_s5_3]]
{{air_ar_s7_3}}*[[air_ar_s7_3]]
{{air_ar_s8_1}}*[[air_ar_s8_1]]
{{air_ar_s8_2_0}}*[[air_ar_s8_2_0]]
{{air_ar_s8_2_1}}*[[air_ar_s8_2_1]]
{{air_ar_s8_2_2}}*[[air_ar_s8_2_2]]
{{air_ar_s8_2_3}}*[[air_ar_s8_2_3]]
{{air_ar_s8_2_4}}*[[air_ar_s8_2_4]]
{{air_ar_s8_2_5}}*[[air_ar_s8_2_5]]
{{air_ar_s8_3}}*[[air_ar_s8_3]]
{ {air_ar_s8}}*[[air_ar_s8]]
{{air_ar_s9_1}}*[[air_ar_s9_1]]
{{air_ar_s9_2}}*[[air_ar_s9_2]]
{{air_ar_s9_3}}*[[air_ar_s9_3]]
{{air_ar_s9_4}}*[[air_ar_s9_4]]
{{air_ar_s9_5_0}}*[[air_ar_s9_5_0]]
{{air_ar_s9_5_1}}*[[air_ar_s9_5_1]]
{{air_ar_s9_5_2}}*[[air_ar_s9_5_2]]
{{air_ar_s9_5_3}}*[[air_ar_s9_5_3]]
```
{{air_ar_s9_5_4}}*[[air_ar_s9_5_4]]
```
{ {air_ar_s9}}*[[air_ar_s9]]
```
{{air_ar_s10}}*[[air_ar_s10]]
```
{{air_ar_s11}}*[[air_ar_s11]]
{{air_ar_s12_1}}*[[air_ar_s12_1]]
{{air_ar_s12_2}}*[[air_ar_s12_2]]
*{{air_ar_s12_2b}}*[[air_ar_s12_2b]]
*{{air_ar_s13_1}}*[[air_ar_s13_1]]
*{{air_ar_s14_1}}*[[air_ar_s14_1]]
*{{air_ar_s15_1}}*[[air_ar_s15_1]]
*{{air_ar_s16_2}}*[[air_ar_s16_2]]
```
* [ext[ссылка ПНИПУ|http://vestnik.pstu.ru/get/_res/fs/file.pdf/8349/%D4%CE%D0%CC%C8%D0%CE%C2%C0%CD%C8%C5+%D3%D1%D2%CD%DB%CC+%CF%C5%D0%C5%C2%CE%C4%D7%C8%CA%CE%CC++%C8%CD%C4%C8%C2%C8%C4%D3%C0%CB%DC%CD%CE%C3%CE+%CE%D2%D0%C0%D1%CB%C5%C2%CE%C3%CE+%CB%C5%CA%D1%C8%CA%CE%CD%C0-%D2%C5%C7%C0%D3%D0%D3%D1%C0+%CD%C0+%CE%D1%CD%CE%C2%C5+%CC%D3%CB%DC%D2%C8%CC%C5%C4%C8%C9%CD%DB%D5+%D0%C5%D1%D3%D0%D1%CE%C2file.pdf]]
* [ext[ссылка KL|https://cyberleninka.ru/article/n/formirovanie-ustnym-perevodchikom-individualnogo-otraslevogo-leksikona-tezaurusa-na-osnove-multimediynyh-resursov]]
* [ext[ссылка ЯД|https://docviewer.yandex.ru/?lang=ru&tm=1582802484&tld=ru&name=%D0%A4%D0%9E%D0%A0%D0%9C%D0%98%D0%A0%D0%9E%D0%92%D0%90%D0%9D%D0%98%D0%95%2B%D0%A3%D0%A1%D0%A2%D0%9D%D0%AB%D0%9C%2B%D0%9F%D0%95%D0%A0%D0%95%D0%92%D0%9E%D0%94%D0%A7%D0%98%D0%9A%D0%9E%D0%9C%2B%2B%D0%98%D0%9D%D0%94%D0%98%D0%92%D0%98%D0%94%D0%A3%D0%90%D0%9B%D0%AC%D0%9D%D0%9E%D0%93%D0%9E%2B%D0%9E%D0%A2%D0%A0%D0%90%D0%A1%D0%9B%D0%95%D0%92%D0%9E%D0%93%D0%9E%2B%D0%9B%D0%95%D0%9A%D0%A1%D0%98%D0%9A%D0%9E%D0%9D%D0%90-%D0%A2%D0%95%D0%97%D0%90%D0%A3%D0%A0%D0%A3%D0%A1%D0%90%2B%D0%9D%D0%90%2B%D0%9E%D0%A1%D0%9D%D0%9E%D0%92%D0%95%2B%D0%9C%D0%A3%D0%9B%D0%AC%D0%A2%D0%98%D0%9C%D0%95%D0%94%D0%98%D0%99%D0%9D%D0%AB%D0%A5%2B%D0%A0%D0%95%D0%A1%D0%A3%D0%A0%D0%A1%D0%9E%D0%92file.pdf&text=%D0%A4%D0%9E%D0%A0%D0%9C%D0%98%D0%A0%D0%9E%D0%92%D0%90%D0%9D%D0%98%D0%95+%D0%A3%D0%A1%D0%A2%D0%9D%D0%AB%D0%9C+%D0%9F%D0%95%D0%A0%D0%95%D0%92%D0%9E%D0%94%D0%A7%D0%98%D0%9A%D0%9E%D0%9C+%D0%98%D0%9D%D0%94%D0%98%D0%92%D0%98%D0%94%D0%A3%D0%90%D0%9B%D0%AC%D0%9D%D0%9E%D0%93%D0%9E+%D0%9E%D0%A2%D0%A0%D0%90%D0%A1%D0%9B%D0%95%D0%92%D0%9E%D0%93%D0%9E+%D0%9B%D0%95%D0%9A%D0%A1%D0%98%D0%9A%D0%9E%D0%9D%D0%90-%D0%A2%D0%95%D0%97%D0%90%D0%A3%D0%A0%D0%A3%D0%A1%D0%90+%D0%9D%D0%90+%D0%9E%D0%A1%D0%9D%D0%9E%D0%92%D0%95+%D0%9C%D0%A3%D0%9B%D0%AC%D0%A2%D0%98%D0%9C%D0%95%D0%94%D0%98%D0%99%D0%9D%D0%AB%D0%A5+%D0%A0%D0%95%D0%A1%D0%A3%D0%A0%D0%A1%D0%9E%D0%92&url=http%3A//vestnik.pstu.ru/get/_res/fs/file.pdf/8349/%25D4%25CE%25D0%25CC%25C8%25D0%25CE%25C2%25C0%25CD%25C8%25C5%2B%25D3%25D1%25D2%25CD%25DB%25CC%2B%25CF%25C5%25D0%25C5%25C2%25CE%25C4%25D7%25C8%25CA%25CE%25CC%2B%2B%25C8%25CD%25C4%25C8%25C2%25C8%25C4%25D3%25C0%25CB%25DC%25CD%25CE%25C3%25CE%2B%25CE%25D2%25D0%25C0%25D1%25CB%25C5%25C2%25CE%25C3%25CE%2B%25CB%25C5%25CA%25D1%25C8%25CA%25CE%25CD%25C0-%25D2%25C5%25C7%25C0%25D3%25D0%25D3%25D1%25C0%2B%25CD%25C0%2B%25CE%25D1%25CD%25CE%25C2%25C5%2B%25CC%25D3%25CB%25DC%25D2%25C8%25CC%25C5%25C4%25C8%25C9%25CD%25DB%25D5%2B%25D0%25C5%25D1%25D3%25D0%25D1%25CE%25C2file.pdf&lr=193&mime=pdf&l10n=ru&sign=40d1564cf011ae541c64a146982b84e3&keyno=0]]
ФОРМИРОВАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ ЗАРУБЕЖНОГО СТУДЕНТА В ТЕХНИЧЕСКОМ ВУЗЕ НА ЗАНЯТИЯХ ПО РУССКОМУ ЯЗЫКУ КАК ИНОСТРАННОМУ НА ОСНОВЕ ЯЗЫКА-ПОСРЕДНИКА
Н.Г. Погорелая
Получена: 12.03.2019
Рассмотрена: 06.06.2019
Опубликована: 10.07.2019
| [ext[PDF|http://vestnik.pstu.ru/get/_res/fs/file.pdf/8699/%D4%CE%D0%CC%C8%D0%CE%C2%C0%CD%C8%C5+%DF%C7%DB%CA%CE%C2%CE%C9+%CB%C8%D7%CD%CE%D1%D2%C8++%C7%C0%D0%D3%C1%C5%C6%CD%CE%C3%CE+%D1%D2%D3%C4%C5%CD%D2%C0+%C2+%D2%C5%D5%CD%C8%D7%C5%D1%CA%CE%CC+%C2%D3%C7%C5+%CD%C0+%C7%C0%CD%DF%D2%C8%DF%D5+%CF%CE+%D0%D3%D1%D1%CA%CE%CC%D3+%DF%C7%DB%CA%D3+%CA%C0%CA+%C8%CD%CE%D1%D2%D0%C0%CD%CD%CE%CC%D3+%CD%C0+%CE%D1%CD%CE%C2%C5+%DF%C7%DB%CA%C0-%CF%CE%D1%D0%C5%C4%CD%C8%CA%C0file.pdf]] | [[Аннотация|АннотацияНГПогорелая]] | [[Сведения об авторах|Сведения об авторахНГПогорелая]] | [[Список литературы|Список литературыНГПогорелая]] |
[ext[ссылка|http://www.vestnik.vsu.ru/pdf/lingvo/2017/03/2017-03-29.pdf]]
Формирование языковой личности учителя начальных классов в педагогическом училище
Сайт наука-педагогика
[ext[ссылка 1|http://nauka-pedagogika.com/viewer/394928/a#?page=1]]*[ext[ссылка 2|http://nauka-pedagogika.com/pedagogika-13-00-01/dissertaciya-formirovanie-yazykovoy-lichnosti-uchitelya-nachalnyh-klassov-v-pedagogicheskom-uchilische]]
*[[pop_ar]]**[[pop_ar 1]]
---
* {{pop_ar_s01}}* [[pop_ar_s01]]
* {{pop_ar_s02}}* [[pop_ar_s02]]
* {{pop_ar_s1}}* [[pop_ar_s1]]
* { {pop_ar_s2}}* [[pop_ar_s2]]
* {{pop_ar_s2_1}}* [[pop_ar_s2_1]]
* {{pop_ar_s2_2}}* [[pop_ar_s2_2]]
* {{pop_ar_s2_3}}* [[pop_ar_s2_3]]
* {{pop_ar_s2_4}}* [[pop_ar_s2_4]]
* {{pop_ar_s2_5}}* [[pop_ar_s2_5]]
* {{pop_ar_s2_6}}* [[pop_ar_s2_6]]
*
* {{pop_ar_s3}}* [[pop_ar_s3]]
*
*
* {{pop_ar_s4}}* [[pop_ar_s4]]
* {{pop_ar_s5}}* [[pop_ar_s5]]
* {{pop_ar_s6}}* [[pop_ar_s6]]
* {{pop_ar_s7}}* [[pop_ar_s7]]
* {{pop_ar_s8}}* [[pop_ar_s8]]
* {{pop_ar_s9}}* [[pop_ar_s9]]
* {{pop_ar_s10_1_6}}* [[pop_ar_s10_1_6]]
*
| Наименование блока | К-во | % |
|1. Упражнения, направленные на формирование языковой и лингвистической компетенции | 982 | 81 |
|2. Упражнения, направленные на формирование коммуникативной компетенции | 136 | 11.2 |
|3. Упражнения, направленные на формирование общеучебных знаний и умений | 95 | 7,8 |
* {{pop_ar_s10_7}}* [[pop_ar_s10_7]]
* {{pop_ar_s10_8_9}}* [[pop_ar_s10]]
* {{pop_ar_s11}}* [[pop_ar_s11]]
* {{pop_ar_s12}}* [[pop_ar_s12]]
* {{pop_ar_s13}}* [[pop_ar_s13]]
* {{pop_ar_s14}}* [[pop_ar_s14]]
* {{pop_ar_s15}}* [[pop_ar_s15]]
* {{pop_ar_s16}}* [[pop_ar_s16]]
```
* {{pop_ar_s17}}* [[pop_ar_s17]]
* {{pop_ar_s18}}* [[pop_ar_s18]]
* {{pop_ar_s19}}* [[pop_ar_s19]]
*
```
[ext[ссылка|https://vak.minobrnauki.gov.ru/az/server/php/filer_new.php?table=att_case&fld=autoref&key[]=100019492&version=100]]
К продуктивным идеям, значимым для изученияязыковой личности в более широком ракурсе социально-философского анализа относятся следующие: 1) ЯЛ –это не определенный срез изучения личности, а полноценноепредставление личности, вмещающеев себя и психологические, и этические и социальные аспекты, преломленные через язык; 2) хотя, в структуре ЯЛ выделяются три уровня, собственно ЯЛ начинается с когнитивного уровня, далее переходя на уровень прагматический.Врамках психологического подходаважное методологическое значение имеет анализ сущностной характеристики носителя языка –языковой способности. Его трактовка осуществляется в соответствии с двумя основными подходами: 1) языковая способность наследуется, соответственно, исходный материалзаложен в человеке от рождения (Н. Хомский, Е. Ленненберг), 2) языковая способность формируется на основе нейрофизиологических предпосылок, но, будучи социально обусловленной, реализуется только в деятельности и по ее правилам (А.В. Запорожец, Б.М. Теплов и другие).Представителя первого подхода исходят из ограниченности объяснительных возможностей концепта «языковая личность», полагая, что структура ЯЛ лишена динамизма. Последователи второго подхода представляют структуру языковой способности как совокупность показателей, объединенных в три группы: интеллектуальный, языковой и речевой компоненты (А.М. Шахнарович, Е.Н. Пузанкова), рассматривают ее в более широком плане как структурный элемент речевой организации индивида наряду с речевой деятельностьюи языковой системой (А.А. Леонтьев). С позиций социологии коммуникацииосновной интерес представляет структура прагматической характеристики ЯЛ, которая включает в себя три параметра: мотивационный, когнитивный и функциональный (В.П. Конецкая). Центральным элементом является мотивация. Поскольку побудительная и смыслообразующая функции мотива тесно связаны, то обосновывается необходимость введения понятия «качество мотивации», т.е.
качественной характеристики, показывающей степень согласования мотива с глубинными потребностями и личностью в целом (Д.А. Леонтьев). Когнитивный параметр рассматривается как комплекс характеристик, ответственных за формирование внутреннего мира ЯЛ в процессе накопления индивидуального познавательного опыта. Функциональный параметр описывается тремя характеристиками, определяющими степень коммуникативной компетентности ЯЛ: 1) практическое владение индивидуальным запасом вербальных и невербальных средств; б) умение варьировать коммуникативные средства в зависимости от изменения коммуникативной ситуации; в) конструирование дискурса в соответствии нормами избранного коммуникативного кода и правилами речевого этикета. Философский подход к пониманию структуры ЯЛ, восходящий к теории диалога М.М. Бахтина, дополняет эту целостную конструкцию таким интегративным элементом, как ценностно-смысловая картина мира, что позволяет непротиворечиво объяснить, каким образом возможно единство ЯЛ при разнообразии дискурсов, выражающем выражает различные стороны социального бытия носителя языка.В рассмотренных моделях ЯЛ социальность берется в качестве исходной посылки, принимается за данность. Это допущение, вполне естественное в рамках лингвистического или психологического подходов, требует дополнительного обоснования при рассмотрении проблемы формирования ЯЛ в социально-философской перспективе. Человек становится ЯЛ по мере развития языковой способности. Конкретность этой меры и, следовательно, степень своеобразия и субъектности носителя языка выражает неповторимое сочетание ее индивидуальности и особенностей социума, формирующееся и проявляющееся в деятельности поосвоению, использованию и оцениванию языка. Далее обосновываются факторы, положенные в основу разработки модели ЯЛ с позиций социально-философского исследования, и указываются эти три основных аспекта–онтологический, праксиологический и
аксиологический. Процесс формирования ЯЛ представляет собой развитие языковой способности отдельного носителя языка, который через включение в коммуникацию в конкретной социокультурной среде осуществляет дискурсопорождающую деятельность, основанную на определенном ценностном отношении к ней. Втретьем параграфе -Человек как носитель языка: опыт концептуализации в современном социально-гуманитарном знании–рассматриваютсяпарадигмы и отдельные философемы, представляющие определенные концептуальные «узлы», в которых воедино связывается проблематика изучения ЯЛ в различных сферах гуманитарного знания (философии, лингвистике, социологии, психологии).В связи с особым вниманием к конституирующей роли языка рассматривается парадигма социального конструктивизма каксовокупность понятий, принципов, объединенных общей идеей конструирования социальной реальности. Особое внимание уделяется концепции языковых игрЛ. Витгенштейна, ставшей принципиально важным шагом в направлении нового подхода к языку, осмыслению его коммуникативной и социальной сущности.С парадигмой социальногоконструктивизматесно связана парадигма перформативностикоммуникации. Ее появлениеобозначило новый вектор развития концепции языка -прагматический (пенрформативный) поворот, в рамках которого акцент делается не на репрезентативной функции языка, что было характерно для классического мышления, а на коммуникативно-прагматической.Показывается методологическая значимость этой парадигмы в контексте исследуемой проблемы. Язык трактуется не только как инструмент кодирования и сообщения выражаемых в нем мыслительных представлений, но и в аспекте исследования интерсубъективных правил использования в процессе коммуникации. Тем самым в орбиту философского интереса, хотя и имплицитно, но уже попадает субъект речевой деятельности –языковая личность.
Еще одним интегративным концептом, рассматриваемым в качестве теоретической основы, является философема «жизненный мир». Онтология «жизненного мира» противоположна классической гносеологической схеме «субъект –объект», онтологизированной в классической психологии и теории познания.В русле такого подхода жизненный мир рассматривается как означенное и осмысленное пространство бытия человека, в котором сознанию отводится конструктивно-порождающая роль. В связи с этим исследуются различные варианты концептуализации этого феномена в философии А. Щюца, Ю. Хабермаса, а также такие постмодернистские понятия, как гиперреальность (Ж. Бодрийяр), «мир спектакля» (Г. Дебор), новый парящий мир (К. Герген). Поскольку в контексте диссертационного исследования особое значение имеет выявление статуса ЯЛ как субъекта порождения дискурса, то внимание уделяется философским представлениям о субъекте как носителе языка в структуралистских и постструктуралистских теориях.Во второй главе –«ЯЗЫКОВАЯ ЛИЧНОСТЬ В ПРОСТРАНСТВЕ КОММУНИКАТИВНО–ЯЗЫКОВОЙ РЕАЛЬНОСТИ» –исследуются сущностные характеристики ЯЛ как социального феномена, внимание акцентируется сначала на социально-онтологических основаниях и границах ЯЛ, а затем на специфике ее языковой деятельности, реализующейся в социальном дискурсе, и иерархии коммуникативно-языковых ценностей.В первом параграфе -«Социально-онтологические основания становления языковой личности –формированиеЯЛ показывается через взаимодействия, реализуемыев системе отношений индивид-сообщество в следующих направлениях: 1) между языком как надличностной системой, оказывающей влияние на структурирование языковой личности, и его носителем; 2) между языковым сообществом как воплощением коллективного языкового сознания и отдельной языковой личностью, обладающей индивидуальным языковым сознанием; 3) между языковыми
личностями как участниками диалога, протекающего в режиме реального времени «здесь и сейчас».Показывается, что формирование ЯЛ осуществляется: 1) какдиалектическое единство субъективизации индивидом объективно заданных языковых форм и их последующего объективированияв субъективно преобразованном виде, т.е. переход языка из внешнего по отношению к индивиду языкового пространства в пределы его индивидуального сознания, а затем вновь вовне; 2)через интегрирующуювласть языкового сообщества, определяющего базовые детерминанты многообразных социальных дискурсов, которая реализуется в дифференциацииязыковых практик как отдельных языковых со-бытий языковой личности и языкового сообщества; 3)как диалектическое единство индивидуального начала, содержащегося в речи отдельных носителей языка, и коллективного,отраженного в используемом ими языке,Во втором параграфе -Языковая личность как субъект социальнойкоммуникации –фокусируется внимание на деятельностных аспектах формирования ЯЛ как субъекта дискурсопорождения. Дискурс, рассматриваемый в данном контексте как разновидность социального действия, понимается, во-первых, как персонифицированный акт речевой деятельности; во-вторых, каклокализованный в пространстве и времени конкретный акт деятельности общественного субъекта, в-третьих, как осознанный, мотивированный и целенаправленный акт, опосредующий связь языковой личности с ее социокультурным окружением.Показывается, в процессе дискурсивная деятельность развертывается как диалектическое противоречие социального и индивидуального и конкретизируется в ряде противоречий (конвенциональность–интенциональность, инструментальность–креативность, повседневность –институциональность), которые являются источником развития языковой личности.
Интенциональностьи конвенциональностьхарактеризуют действие ЯЛ с точки зрения соотношения в нем субъективного (намерение) и объективного (конвенциональные средства его осуществления). При этом субъективность интенциональности формируется не только в результате освоения конвенционально одобренных и закрепленных форм социального дискурса, но и через сопротивление этим конвенциям, в том числе в результате свободного выбора между различными конвенциями, основанного на личном жизненном и языковом опыте носителя языка, на освоении социокультурных коммуникативных норм и ценностей, принятых в определенном языковом сообществе.Инструментальностьи креативность выражаются в том, что, с одной стороны, языковое сообщество ориентирует ЯЛ на освоение общепринятых языковых кодов и норм и, следовательно, языкявляется экономным и емким устройством для передачи огромного количества смысловой информации, с другой стороны, по мере включения в дискурсопорождающую деятельность ЯЛ начинает все более свободно и творчески оперировать языком, изменяя его в определенныхпределах под свою индивидуальность.Повседневностьи институциональностьдискурса отражают противоречивость становления идентичности ЯЛ, реализующей себя в многообразии дискурсивных практик, протекающих как в условиях относительно жестких рамок институционализированного дискурса, так и в сфере повседневностиТретий параграф –«Особенностиформированияценностной сферы языковой личности –посвящен анализу становления ценностной структуры ЯЛ, осуществляющемуся в ходе языковой социализации. Оформление ценностной структуры ЯЛ понимается как освоение лингвистических (например, правильность, грамотность речи, языковой вкус, красота языка) и внелингвистических (например, уважение к личности, ответственность, доверие, искренность) ценностей, реализующихся в процессе языковой деятельности индивида. Ценностная структура ЯЛ включает в себя, во-
первых, диапазон ценностей, охватывающий коммуникативно-языковое пространство жизненного мира человека, во-вторых, иерархический порядок, предполагающий восхождение от прагматичных к экзистенциальным и от коллективных к индивидуальным ценностям. Системообразующими направлениями формирования ценностной структуры ЯЛ являются ценности, относящиеся к языкукак культурному коду нации, и коммуникативные ценности.Ценностное отношение кязыку рассматривается в трех взаимосвязанных аспектах. Во-первых, ценность языка как средство конструированиясоциальной идентичности на основе концепции символических обметов П. Бурдьё. Во-вторых, ценностная значимость языка как источника связи с этносом. В связи с этим обращается внимание на такое сложное социальное явление, как диглоссия, противоречивость которого выражается в некоторой аксиологической амбивалентности: престижность одного языка сочетается с отношением к другому языку как к средству сниженного общения и одновременно, как к хранилищу национального духа. В-третьих, ценностное отношение к языку, проявляющееся в эстетическом наслаждении им в силу таких имманентно присущих его речевой форме свойств, как поэтичность, ритмичность, благозвучие, гармоничность. Отмечается, что отсутствие отчетливо артикулированного и поддержанного языковым сообществом социального запроса на воспроизводство эстетической ценности языка в дискурсопорождающей деятельности не способствует ее формированию в индивидуальной ценностной структуре современной ЯЛ.Отношение к языку как к коммуникативной ценности рассматривается через сопоставление формального и содержательного (качественного) аспектов коммуникации. Показывается, что такая ценность языковой коммуникации, как успешность не может рассматриваться с чисто формальной позиции. Соответственно, в личностную иерархию ценностей ЯЛ кроме собственно коммуникативных, должны быть включены
(сформированы) экзистенциальные и социокультурные ценности, что выражается в оформлении таких качеств ценностного сознания ЯЛ, как ответственность и доверие. В заключенииподводятся основные итоги диссертационного исследования, делаются теоретические обобщения и выводы.Основные положения диссертационного исследования отражены в следующих публикациях
```
Публикации в изданиях, рекомендованных ВАК РФ
1. Сахарова А.В. Языковая личность и коммуникативная реальность: к вопросу об основаниях взаимного конструирования / А.В. Сахарова// В мире научных открытий. -2014. -No 11.8.–С. 3242-3255.
2.Сахарова А.В. Языковая личность в пространстве коммуникативной реальности: в поисках парадигмы исследования/ А.В. Сахарова // Ученые записки Орловского государственного университета.Орёл: ОрлГУ –2014. –No 4. –С. 95-98.
3. Сахарова А.В. К вопросу о формировании ценностной сферы языковой личности/ А.В. Сахарова// В мире научных открытий.–2015. –No 9.4.–С. 1399-1408.
4. Сахарова А.В. Диалектика становления языковой личности как субъекта дискурса/ А.В. Сахарова// Исторические, философские, политические и юридические науки, культурология и искусствоведение. –Вопросы теории и практики. –2015. –No 12-1 (62).–С. 174-177.
В прочих изданиях
5. Сахарова А.В. Лингвистическая философия А.А. Потебни: к вопросу об онтологических основаниях языковой личности/ А.В. Сахарова//XXмеждународная научно-техническая конференция «Информационная среда вуза». –Иваново, 2013.–С.679-683.
6.Сахарова А.В., Смирнова Е.Л. Коммуникативная рациональность и проблема формирования коммуникативной компетентности языковой личности / А.В. Сахарова, Е.Л. Смирнова// Ученые записки факультета экономики и управления. –Иваново, 2013.–Вып. 24.–С. 102-108.
7. Сахарова А.В.Языковая личность: репрезентация vsконструирование/ А.В. Сахарова// Актуальные проблемы современной когнитивной науки: Материалы седьмой всероссийской научно-практической конференции с международным участием (16-18 октября 2014 года). –Иваново, 2014.–С. 97 -99.
8. Сахарова А.В.Языковая коммуникация: от перформативности к перфомансу/ А.В. Сахарова// Материалы VII Международной научно-практической конференции «Теория и практика актуальных исследований» (19 августа 2014 года). –Краснодар, 2014.–С. 28-31.
9. Сахарова А.В.Дискурсивные практики в пространстве коммуникативной реальности: от рациональности к иррациональности/ А.В. Сахарова // Сборник статей по материалам XXIX международной заочной научно-практической конференции. –М.: Издательство «Международный центр науки и образования»,2014.–С. 41-45.
10. Сахарова А.В.Конструирование коммуникативной реальности: к вопросу о роли языковой личности/ А.В. Сахарова // Социальная онтология в структурах теоретического знания: Материалы VI Международной научно -практической конференции 30 —31 мая 2014 года. –Ижевск: Издательство«Удмуртский университет», 2014.–С. 67-73.
```
ФРАЗЕОЛОГИЧЕСКИЕ ЕДИНИЦЫ НЕПРОДУКТИВНЫЕ. В их состав входят: 1) ФЕ-словоформы, состоящие из частицы не в сочетании со знаменательным словом: не пара; не впрок; не стоит; 2) ФЕ, включающие в свой состав союз со знаменательным словом: как маятник, как юла, хоть убей, как пишет; 3) ФЕ в форме сочинительных словосочетаний знаменательных слов: и смех и грех, ни то ни сё, гром и молния.
ФРАЗЕОЛОГИЧЕСКИЕ ЕДИНИЦЫ ПРОДУКТИВНЫЕ. В составе продуктивных ФЕ выделяются глагольные, именные и наречные словосочетания. Среди глагольных отмечены: 1) глагольно-именные: плыть по течению; задавать гопака; 2) глагольно-наречные: застать врасплох, завязать навсегда; 3) глагольно-глагольные: дать прикурить. В составе именных отмечаются: 1) субстантивные: а) сущ. + прил. (собачья свалка); б) сущ. + сущ. (альфа и омега, плечо друга); 2) адъективные: легок на подъем. Наречные ФЕ: худо-бедно, вверх дном. Фразеологизмы-предложения включают в свой состав: 1) ФЕ, восходящие к простым предложениям: а) двусоставным: утро вечера мудренее; одна бабушка сказала,сыр бор разгорелся; б) односоставным: оставь надежду всяк, сюда входящий,;2) ФЕ, генетически представляющие со-бой части сложных предложений, организованные по моделям придаточных предложений, или сложные предложения: Куда иголка, туда и нитка; как тростинка, на ветру шатается; что есть сил.
Жеребило
[[Фразеологические единицы]]
[[Термины]]
| [[Xа]] | [[Хе]] | [[Хо]] | [[Хр]] | [[Ху]] |
[ext[ссылка|https://docplayer.ru/24124450-Osnovy-teorii-obucheniya-ponimaniyu-inoyazichnoy-rechi-podgotovka-perevodchkov.html]]
[ext[ссылка|https://docplayer.ru/54124450-Osnovy-teorii-obucheniya-ponimaniyu-inoyazychnoy-rechi-podgotovka-perevodchikov.html]]
[ext[ссылка|https://dlib.rsl.ru/viewer/01000069654#?page=1]]
[ext[ссылка|https://docviewer.yandex.ru/view/0/?page=1&*=6pzPTvvtK9R1%2Fv8sBe%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%3D&lang=ru]]
[ext[ссылка|https://docviewer.yandex.ru/view/0/?page=1&*=6pzPTvvtK9R1%2Fv8sBe%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%3D&lang=ru]]
[[Халяпина Л.П.]]
Халяпина Л.П. [[Методическая система формирования поликультурной языковой личности посредством интернет-коммуникации в процессе обучения иностранным языкам]]
[[hlp_ar 1]]
МЕТОДИЧЕСКАЯ СИСТЕМА ФОРМИРОВАНИЯ ПОЛИКУЛЬТУРНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ ПОСРЕДСТВОМ ИНТЕРНЕТ-КОММУНИКАЦИИ В ПРОЦЕССЕ ОБУЧЕНИЯ ИНОСТРАННЫМ ЯЗЫКАМ Халяпина Людмила Петровна диссертация на соискание ученой степени доктора педагогических наук / Российский государственный педагогический университет им. А.И. Герцена. Санкт-Петербург, 2006 13.00.02
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=834362]]*[ext[ссылка ар|https://new-disser.ru/_avtoreferats/01003318657.pdf]]
[[Содержание]]
* [[hlp_ar_s3]]*{ {hlp_ar_s3}}
* [[hlp_ar_s4]]*{ {hlp_ar_s4}}
* [[hlp_ar_s5]]*{ {hlp_ar_s5}}
* [[hlp_ar_s6]]*{ {hlp_ar_s6}}
* [[hlp_ar_s7]]*{ {hlp_ar_s7}}
* [[hlp_ar_s9]]*{ {hlp_ar_s9}}
* [[hlp_ar_s10]]*{ {hlp_ar_s10}}
* [[hlp_ar_s3]]*{ {hlp_ar_s3}}
* [[hlp_ar_s3]]*{ {hlp_ar_s3}}
* [[hlp_ar_s3]]*{ {hlp_ar_s3}}
* [[hlp_ar_s3]]*{ {hlp_ar_s3}}
[[Хлызова Н.Ю.]] [[Педагогические условия формирования медиакомпетентности вторичной языковой личности]]: автореф. дис. … канд. пед. наук. – М., 2011. – 23 с.
[[hnyu_ar 1]]
ПЕДАГОГИЧЕСКИЕ УСЛОВИЯ ФОРМИРОВАНИЯ МЕДИАКОМПЕТЕНТНОСТИ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ [[Хлызова]] Н.Ю. диссертация на соискание ученой степени кандидата педагогических наук / Московский государственный лингвистический университет. Москва, 2011. 13.00.01
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=1144123]]*[ext[ссылка 2|https://new-disser.ru/_avtoreferats/01004914872.pdf]]
Лингвистическое моделирование как инструмент выявления искажений речевых навыков автора письменного речевого произведения. Опыт практического исследования
https://docviewer.yandex.ru/view/0/?page=1&*=yudFjMXRD3yn8tu5mDDE%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%3D&lang=ru
Александр Тимофеевич Хроленко
! Основы лингвокультурологии
* [ext[ссылка|https://e-libra.ru/read/392947-osnovy-lingvokul-turologii.html]]
! Кластерный анализ
Каждый фрагмент эпической или лирической картины мира репрезентируется определенной совокупностью лексем различной частеречной принадлежности. Этот набор обозначается термином кластер, т. е. сегмент некоего информационного поля. Кластерный анализ в нашем представлении – это лексикографическое описание всех входящих в кластер лексем с параллельным установлением всех связей каждого слова с остальными словами, представляющими один и тот же фрагмент фольклорной картины мира.
Термин кластер постепенно входит в обиход многих наук и практики. В Большой Советской Энциклопедии понятие «кластер» отсутствует. В Новой Иллюстрированной Энциклопедии (М., 2000) кластер (англ. cluster – гроздь, скопление) толкуется как ‘скопление однотипных объектов (например, звёздное скопление, атомный кластер)’ [НИЭ: 8:248]. В химии кластер – ‘многоядерные комплексные соединения, в основе молекулярной структуры которых лежит объёмный скелет (ячейка)…’ (ХЭС 1983: 259]. В физике и химии под кластером понимают группу молекул, выделяющихся из других подобных молекул и объединяющихся в устойчивых образованиях [Ком л ев 1995: 57]. В вычислительной технике кластер – ‘сегмент дискового пространства' [Леонтьев 2001: 775], а также: кластер – это набор относительно слабо связанных независимых компьютерных систем или узлов, которые ведут себя как одна система [Известия. 2000. 12 июня. С. 9].
В психологии кластерный анализ — это «математическая операция, позволяющая на основе множества показателей (в частности, данных об испытуемых) объединить их в один класс’ [Комлев 1995: 57]. В еженедельнике «Поиск» (2002. № 20. С. 13) в интервью с губернатором Санкт-Петербурга В. Яковлевым приведена таблица «Кластеры Санкт-Петербурга». Внизу примечание: «Полный перечень кластеров Санкт-Петербурга формируется и уточняется в ходе специальных исследований». Определения термина кластер здесь нет. Можно думать, что кластер – это и ячейка таблицы, и строка её, и столбец. Уместно заметить, что термин кластер в новом «Кратком словаре современных понятий и терминов» (М., 2000) пока тоже отсутствует.
В «Лингвистическом энциклопедическом словаре» (М., 1990) специальной словарной статьи нет, однако сам термин дважды использован. Как следует из контекста, кластером называют группу согласных в начале слова, а также сочетания неслогообразующих фонем. Различают простые фонемы и кластеры фонем типа ph, pw, tsh, тп, kl и др. Как можно понять, кластеры – это части звуковой оболочки слов {ЛЭС 1990: 53» 209].
Толкование лингвистического термина кластер мы обнаруживаем в словаре Н.Г. Комлева: ‘линг. последовательность, цепочка языковых элементов, которыми могут быть звуки (вокальный кластер) или части речи (глагольный кластер), группы диалектов или языков, имеющих ряд общих черт как результат взаимного географического сближения’ [Комлев 1995: 57].
Логичен вопрос, чем понятие «кластер» отличается от понятия «поле» (поля семантического, морфологического, ассоциативного, грамматического или синтагматического), а также от понятий «группа» и «парадигма». Поле в любой версии – это ‘совокупность языковых (гл. обр. лексических) единиц, объединённых общностью содержания (иногда также общностью формальных показателей) и отражающих понятийное, предметное или функциональное сходство обозначаемых явлений' [ЛЭС 1990: 380]. Принципиальное отличие видится в том, что поле (группа, парадигма) – проявление системного характера языка, а кластер – сегмент некоего информационного пространства (например, текста), вычленяемый на том или ином основании.
Термин кластер достаточно удобен в лингвофольклористических исследованиях и в лексикографическом описании фольклорной лексики. Под этим термином в данном случае понимается совокупность слов различной частеречной принадлежности, семантически и/или функционально связанных между собой, которые служат для репрезентации того или иного фрагмента картины мира. Например, в кластер «Орнитонимы» войдут не только обобщенные и конкретные наименования пернатых (птица, орел, кукушка и др.), но и прилагательные, образованные от орнитонимов (птичий, орлиный) или характеризующие птиц (клевучий ), наречия (по-соловьему), глаголы, называющие характерные для птиц действия (ворковать, попурхивать, склевать), и т. д.
Кластерный принцип описания – это лексикографическое описание всех входящих в кластер слов с одновременным установлением актуальных связей каждой лексемы с другими словами, представляющими один фрагмент картины мира. За словами, объединёнными в кластер, стоят культурные концепты. Если в кластере больше одного концепта, в нём можно выделить субкластеры. Исследовательская ценность кластеров заключается в том, что их можно сравнивать.
Кластер «цвет», например, дает возможность увидеть специфику отношения русского этноса к цвету. Русский фольклорный менталитет за цветом видит смыслы, а потому цветообозначение приобретает статус сущностной характеристики. Лошади именуются воронками, буланками, саврасками и бурками. Лазоревый цветок становится лазарёчком. Некоторые цвета в русском эпическом фольклорном мире предстают как зримое предшествование чуда (дива): А там-то есть три чудушка три чудныих,/Там-то есть три дивушка три дивныих:/Как первое там чудо былым-бело>/ А другое-то чудо красным-красно./А третьеё-то чудо черным-черно (1, № 49, 27). Для феномена чуда цвет предстает чем-то самодостаточным. Цвет – само по себе чудо, тем более речь идет о цвете предельной интенсивности.
Указание на масть лошади у русских – сущностная характеристика животного, отсюда частотность видовых обозначений его с помощью специальных существительных: бурый бурко (бурка), вороной воронко (воронок), гнедой гнедко, сивый сивко. Эти существительные, сохраняя сему цветовой определенности, приобретают потенциальную сему ‘сверхъестественное’, актуализируемую в сочетании существительного с эпитетом (например, частое вещий каурка). При этом цветовые семы «микшируются», в результате чего «цветовое» слово перестает обозначать конкретную масть. Актуализация в каждом имени масти семы ‘сверхъестественное’ делает синонимичными слова, которые за пределами фольклора таковыми не являются.
Концентрация нескольких обозначений масти для одной лошади – форма представления существа с необычайными свойствами. В. Даль подмечает: «Сивка бурка, вещий каурка, в сказках, конь и сивый, и бурый, и каурый» [Даль: 1:144]. Смешение цветов – знак сказочности животного. В «Онежских былинах» каурка используется только с существительным бурка в постпозиции как своеобразный эпитет к предшествующему слову, которое может употребляться и без этого эпитета: Берет узду себе в руки тесмяную, / Одивал на мала бурушка-ковурушка; / По колен было у бурушка_в землю зарощено. / Он поил бурка питьем медвяныим. / И кормил его пшеною белояровой, / И седлал бурка на седёлышко черкальское (2, № 152,53).
Эвристические возможности кластерного анализа заметили на уровне перевода дискурса на другой язык. Возьмём для примера «The Song of Hiawatha» / «Песнь о Гайавате» Г. Лонгфелло и его бунинский перевод, единодушно признаваемый вершиной переводческого искусства. Ограничимся кластером «Небо», объединяющим концепты объектов и явлений, известных всем людям Земли без исключения (небо, солнце, луна, звезды, восход, закат и т. д.).
Сразу же отметим количественное несовпадение кластеров подлинника и перевода. У Лонгфелло «небо» представлено 20-ю лексемами, у Бунина их 34. Отличие обусловлено как словарным составом языка (луна и месяц в русском и только moon в английском), так и своеобразием русской языковой картины мира. По-разному в текстах представлено само небо. У Лонгфелло присутствует название этого феномена – sky (30)[1] heavens (40) и единично устаревшее ether (I). У Бунина к именам небеса (15) и небо (53) прибавляются номинации в форме словосочетаний типа бездна неба (1), глубь небес (1), простор небес (1), свод неба (2), свод небес (1), свод небесный (1). Эти «параметрические» номинаты заставляют думать, что в русской картине мира небо – это не просто некое пространство над землей, а космос глубокий, бездонный, просторный, устройством своим – свод – похожий на храм.
По-разному определяется прилагательными небо в подлиннике и переводе. У Лонгфелло небо – широкое, безоблачное, расколотое, восточное, западное, у Бунина – красное, синее, темное, оно сияет голубой бездной. Цветовая оценка явлений сверхъестественных, мистических, загадочных – давно уже отмеченное свойство русского мировидения[2], «умозрение в красках» (Е.Н. Трубецкой),
Концепт «солнце» в переводе упоминается чаще, чем в оригинале (51 против 28). Лексемы sun / солнце только дважды определены одинаково – великое и ночное. Солнце у Лонгфелло теплое, горячее, красное; для Бунина оно яркое, светлое, гаснущее, вешнее. В переводе солнце согревает, пригревает, светит жарко, а в подлиннике мы встретим только to warm.
Практически во всех случаях, когда Лонгфелло употребляет слово morning ‘утро’, в переводе находим лексему рассвет. Даже выражение all night Бунин переводит как до рассвета. Пять раз встретилось в переводе слово зарево, хотя в оригинале соответствующего ему слова glow нет вовсе.
Правомерно заключение, что языковые картины мира в подлиннике и переводе различаются по причине различий в этническом художественном мировидении, национальных языковых картинах мира и в поэтическом взгляде на мир двух мастеров слова.
Хукаленко Юлия Сергеевна Язык как средство выражения когнитивной модели зоологии в современных научных текстах на русском язык
[ext[ссылка|http://www.philol.msu.ru/~ref/dcx/2016_KhukalenkoJuS_diss_10.02.01_19.pdf]]
[[Термины]]
| [[Це]] | [[Ци]] |
[ext[ссылка|http://tsennosti.instet.ru/]]
Уведомляем, что журнал "Ценности и смыслы" не взимает платы за публикации и не планирует это делать в дальнейшем.
Журнал зарегистрирован и выходит более десяти лет в печатном варианте. Редакция просит оплачивать типографские услуги (верстка, тиражирование в типографии) пропорционально объему статьи относительно всего объема журнала (независимо от желания автора получить печатную версию).
В случае подписки на журнал, оплата за типографские услуги не взимается.
Если статья принята к публикации редколлегией, автору высылается счет на оплату типографских услуг, лицензионный договор, который нужно заполнить, подписать и отправить в редакцию отсканированный вариант.
Заказать печатную версию журнала можно в любом количестве (с доставкой курьером или почтой) в редакции по адресу: instetano@gmail.com.
Информация на сайте: http://tsennosti.instet.ru/avtoram.html
Если статья принята к публикации, автору высылается:
- форма лицензионного договора, который нужно заполнить, подписать и отправить отсканированный вариант.
- квитанция на оплату предпечатной подготовки и тиражирования журнала (при отсутствии подписки или заказа редакции на публикацию).
!!''Центр инновационных технологий и социальной экспертизы''
[ext[ссылка 1|http://ma123.ru/ru/]]**[ext[ссылка 2|http://www.cit-sr.com/]]
Стоимость расходов на обработку одной статьи с 15 июня 2019 г. составляет — 4500 рублей.
Ускоренная процедура рассмотрения, рецензирования, выдачи справки ( публикация — только согласно графику выхода номеров) — составляет 10 рабочих дней. Стоимость расходов на обработку статьи — от 7500 руб.
Взнос следует производить — только после получения подтверждения от редакции о том, что ваша статья принята в номер!
1. Вы можете сделать взнос за редакторскую правку статьи, воспользовавшись системой электронных платежей:
Перевод осуществляется
С банковских карт:
— с карты Visa, MasterCard, Maestro;
— комиссия берется с получателя, 2% от суммы.
С кошелька на Яндексе:
— отправить перевод смогут владельцы именных и идентифицированных кошельков;
— комиссия берется с получателя, 0,5% от суммы.
С мобильного телефона:
— комиссия берется с отправителя, от 8% от суммы.
Цыркун Иван Иванович
Инновационные механизмы развития педагогической науки [ext[ссылка|https://cyberleninka.ru/article/n/innovatsionnye-mehanizmy-razvitiya-pedagogicheskoy-nauki]]
Учебник [ext[ссылка|https://kped.bspu.by/admin-panel/vendor/kcfinder/upload/files/Books/%D0%9F%D0%A1%D0%A8%20%D0%BA%D1%83%D1%80%D1%81%20%D0%BB%D0%B5%D0%BA%D1%86%D0%B8%D0%B9.pdf]]
[ext[ссылка|http://elib.bspu.by/bitstream/doc/47349/1/%d1%81%d0%b8%d1%81%d1%82%d0%b5%d0%bc%d0%b0%20%d0%b8%d0%bd%d0%bd%d0%be%d0%b2%d0%b0%d1%86%d0%b8%d0%be%d0%bd%d0%bd%d0%be%d0%b9%20%d0%bf%d0%be%d0%b4%d0%b3%d0%be%d1%82%d0%be%d0%b2%d0%ba%d0%b8%20%d1%81%d0%bf%d0%b5%d1%86%d0%b8%d0%b0%d0%bb%d0%b8%d1%81%d1%82%d0%be%d0%b2%20%d0%b3%d1%83%d0%bc%d0%b0%d0%bd%d0%b8%d1%82%d0%b0%d1%80%d0%bd%d0%be%d0%b9%20%d1%81%d1%84%d0%b5%d1%80%d1%8b%202000.pdf]]
[[Термины]]
| [[Ча]] | [[Че]] | [[Чи]] | [[Чт]] | [[Чу]] |
Чайникова Галина Раскатовна
Формирование иноязычной речевой лексической компетенции на основе учебного электронного терминологического словаря тезаурусного типа
*[ext[ссылка HЭБ|https://viewer.rusneb.ru/ru/000199_000009_007852736?page=43&rotate=0&theme=white]]
*[ext[ссылка в Dis12|file:///E:/Dis/Dis12]]
[[частота слов нсп2019_2]]
#Word Types: 2579
#Word Tokens: 11229
#Search Hits: 0
1 1112 личности
2 580 в
3 334 и
4 285 как
5 146 развития
6 135 на
7 133 формирования
8 103 культуры
9 90 к
10 88 развитие
11 87 формирование
12 76 студентов
13 75 особенности
14 72 процессе
15 68 образования
16 68 студента
17 65 деятельности
18 60 фактор
19 57 воспитания
20 57 профессиональной
21 57 условиях
22 55 роль
23 53 личность
24 52 влияние
25 52 с
26 52 языковой
27 50 физической
28 48 социально
29 43 педагога
30 41 вуза
31 41 формировании
32 38 профессионального
33 37 о
34 36 проблемы
35 35 качеств
36 34 духовно
37 33 воспитание
38 32 направленности
39 32 образовательной
40 32 проблема
41 32 становления
42 31 системе
43 29 будущего
44 28 средство
45 28 у
46 27 вопросу
47 27 курсантов
48 27 обучения
49 27 по
50 27 творческой
51 26 контексте
52 25 культура
53 25 потенциала
54 25 профессионально
55 25 психологические
56 25 ребенка
57 25 саморазвития
58 24 основы
59 24 развитии
60 24 школьника
61 23 аспекты
62 22 психолого
63 22 среды
64 21 взаимосвязь
65 20 вузе
66 20 образовательных
67 20 современного
68 20 социализации
69 20 структуре
70 19 качества
71 19 обучающихся
72 19 организации
73 19 подростков
74 19 россии
75 18 безопасности
76 18 его
77 18 основа
78 18 педагогические
79 18 педагогического
80 18 при
81 18 современных
82 18 учителя
83 18 языка
84 17 анализ
85 17 жизни
86 17 нравственного
87 17 подход
88 17 технологии
89 17 учащихся
90 16 будущих
91 16 изучения
92 16 модель
93 16 поведения
94 16 примере
95 16 психологической
96 16 самореализации
97 16 становлении
98 16 школы
99 15 исследование
100 15 специалиста
101 15 спорта
102 15 средствами
103 15 сферы
104 15 условие
105 14 непрерывного
106 14 образовании
107 14 обучающегося
108 14 педагогической
109 14 подготовки
110 14 подхода
111 14 пространстве
112 14 работы
113 14 современной
114 13 аспект
115 13 для
116 13 ее
117 13 идентичности
118 13 конкурентоспособной
119 13 нравственных
120 13 подростка
121 13 поликультурной
122 13 профессиональное
123 13 становление
124 13 школе
125 12 воспитании
126 12 высшей
127 12 изучение
128 12 нравственное
129 12 педагогов
130 12 подходы
131 12 понятия
132 12 преподавателя
133 12 системы
134 12 среде
135 12 факторы
136 12 школьников
137 11 детей
138 11 иностранного
139 11 интеллекта
140 11 исследования
141 11 компетентность
142 11 младшего
143 11 молодежи
144 11 нравственной
145 11 образовательном
146 11 обучении
147 11 организаций
148 11 особенностей
149 11 психологии
150 11 реализации
151 11 структуры
152 11 теоретические
153 11 характеристика
154 11 эмоционального
155 10 деятельность
156 10 здоровья
157 10 значение
158 10 из
159 10 иностранному
160 10 компетентности
161 10 компонент
162 10 мотивации
163 10 ориентаций
164 10 педагогическая
165 10 пространства
166 10 психологов
167 10 система
168 10 типа
169 10 юношеском
170 9 взаимосвязи
171 9 возможности
172 9 возрасте
173 9 вторичной
174 9 высшего
175 9 информационная
176 9 информационной
177 9 их
178 9 мвд
179 9 методологические
180 9 младших
181 9 образование
182 9 обществе
183 9 ориентации
184 9 педагогических
185 9 педагогическое
186 9 потенциал
187 9 профессиональная
188 9 психологический
189 9 психологических
190 9 психологического
191 9 самоопределение
192 9 свойств
193 9 современном
194 9 социального
195 9 социальной
196 9 способностей
197 9 сущность
198 9 творческого
199 9 уроках
200 9 устойчивости
201 9 физического
202 9 характеристик
203 9 ценностно
204 9 ценностные
205 9 человека
206 9 этапе
207 9 языку
208 8 аспекте
209 8 безопасность
210 8 готовности
211 8 духовной
212 8 информационно
213 8 информационного
214 8 искусства
215 8 концепции
216 8 национальной
217 8 образа
218 8 опыт
219 8 основе
220 8 позиции
221 8 проблеме
222 8 профессии
223 8 процесса
224 8 психологическая
225 8 рамках
226 8 ресурс
227 8 содержание
228 8 социальная
229 8 теоретико
230 8 условия
231 8 учебной
232 8 учителей
233 8 феномен
234 8 ценностей
235 8 через
236 7 военного
237 7 возможностей
238 7 врача
239 7 вузов
240 7 индивидуально
241 7 инновационного
242 7 культурной
243 7 курсанта
244 7 направленность
245 7 нравственно
246 7 образовательного
247 7 общества
248 7 педагогический
249 7 повышения
250 7 посредством
251 7 психолога
252 7 психологическое
253 7 пути
254 7 российской
255 7 саморазвитие
256 7 самореализация
257 7 ситуации
258 7 сопровождения
259 7 социализация
260 7 социальных
261 7 структура
262 7 теории
263 7 технологий
264 7 толерантности
265 7 управления
266 7 уровнем
267 7 условий
268 7 установок
269 7 характеристики
270 7 ценностных
271 7 часть
272 6 активности
273 6 возраста
274 6 волевых
275 6 воспитательная
276 6 выгорания
277 6 дополнительного
278 6 дошкольника
279 6 духовного
280 6 жизненного
281 6 здорового
282 6 инновационной
283 6 использование
284 6 истории
285 6 качество
286 6 компетенции
287 6 методика
288 6 модели
289 6 морально
290 6 музыки
291 6 обучение
292 6 общения
293 6 организация
294 6 основные
295 6 перспективы
296 6 профессиональных
297 6 проявления
298 6 развитой
299 6 роли
300 6 самостоятельной
301 6 совершенствования
302 6 сознания
303 6 сопровождение
304 6 спортивной
305 6 способ
306 6 среда
307 6 стратегии
308 6 творческая
309 6 учащегося
310 6 физическое
311 6 языковая
312 5 безопасного
313 5 благополучия
314 5 влияния
315 5 войск
316 5 гармонично
317 5 гвардии
318 5 глобализации
319 5 гражданско
320 5 деформации
321 5 здоровье
322 5 значимых
323 5 изучении
324 5 категория
325 5 коммуникативная
326 5 коммуникативных
327 5 медицинского
328 5 методов
329 5 методологический
330 5 механизм
331 5 механизмы
332 5 мира
333 5 моделирования
334 5 мотивационной
335 5 оптимизации
336 5 ответственность
337 5 педагогики
338 5 предпосылки
339 5 рефлексии
340 5 русского
341 5 самоактуализации
342 5 самоопределения
343 5 свойства
344 5 семьи
345 5 сотрудника
346 5 сотрудников
347 5 специфика
348 5 спорте
349 5 студенческой
350 5 субъекта
351 5 сфере
352 5 теоретический
353 5 технического
354 5 технология
355 5 уровня
356 5 успешности
357 5 учебных
358 5 учетом
359 5 федерации
360 5 физическая
361 5 ценностного
362 5 цифровом
363 5 экологическая
364 5 эпоху
365 5 эстетического
366 5 язык
367 4 адаптации
368 4 актуальные
369 4 века
370 4 внеурочной
371 4 во
372 4 военнослужащего
373 4 возможностями
374 4 выборе
375 4 гармонизации
376 4 гармоничное
377 4 гуманитарных
378 4 деформация
379 4 дисциплин
380 4 дошкольного
381 4 духовном
382 4 духовных
383 4 её
384 4 занятий
385 4 занятиях
386 4 зарубежных
387 4 идентичность
388 4 иностранный
389 4 иноязычной
390 4 интернет
391 4 исследованиях
392 4 классов
393 4 коллектива
394 4 коммуникативной
395 4 компонента
396 4 компоненты
397 4 конкурентоспособности
398 4 креативности
399 4 критерии
400 4 культуре
401 4 культурно
402 4 курса
403 4 литературе
404 4 личностью
405 4 межкультурной
406 4 метод
407 4 мире
408 4 мировоззрения
409 4 моделирование
410 4 молодёжи
411 4 мотивация
412 4 музыкального
413 4 музыканта
414 4 мышления
415 4 направления
416 4 науке
417 4 научно
418 4 научного
419 4 некоторые
420 4 об
421 4 опыта
422 4 органов
423 4 основ
424 4 от
425 4 ответственности
426 4 отношения
427 4 оценки
428 4 патриотического
429 4 патриотическое
430 4 педагог
431 4 педагогика
432 4 период
433 4 подготовка
434 4 подготовке
435 4 поддержки
436 4 подростковом
437 4 подходов
438 4 познавательных
439 4 поликультурного
440 4 правовой
441 4 принципы
442 4 программы
443 4 проектирование
444 4 профессиональном
445 4 профилактики
446 4 профиля
447 4 психология
448 4 работа
449 4 реализация
450 4 руководителя
451 4 самоопределению
452 4 самооценки
453 4 смысловых
454 4 современное
455 4 современные
456 4 содержания
457 4 создания
458 4 составляющей
459 4 состояние
460 4 состояния
461 4 социокультурном
462 4 социокультурный
463 4 специалистов
464 4 спортивного
465 4 спортсмена
466 4 способности
467 4 старшеклассников
468 4 творчества
469 4 творчество
470 4 темперамента
471 4 теоретизации
472 4 теория
473 4 техническом
474 4 трансформации
475 4 университета
476 4 управление
477 4 управленческой
478 4 уровень
479 4 успешной
480 4 учебно
481 4 цикла
482 4 школьного
483 4 экологической
484 4 элемент
485 4 эмоциональной
486 4 эффективности
487 3 xxi
488 3 аксиологические
489 3 активной
490 3 анализа
491 3 важность
492 3 виртуальной
493 3 влияющие
494 3 военно
495 3 военных
496 3 воздействие
497 3 всестороннего
498 3 выпускников
499 3 гармоничного
500 3 гендерные
501 3 гражданина
502 3 девиантного
503 3 детерминанты
504 3 детско
505 3 детского
506 3 деятельностный
507 3 диагностика
508 3 духовности
509 3 духовность
510 3 за
511 3 заведении
512 3 залог
513 3 защиты
514 3 знаний
515 3 значимого
516 3 значимые
517 3 значимый
518 3 идеале
519 3 идентификации
520 3 идентификация
521 3 изучению
522 3 индивидуальность
523 3 иноязычного
524 3 института
525 3 инструмент
526 3 интеллектуального
527 3 интеллектуальной
528 3 интерактивных
529 3 информационных
530 3 искусство
531 3 история
532 3 итогам
533 3 китайской
534 3 коллективе
535 3 коммуникативного
536 3 коммуникации
537 3 компетентностного
538 3 компонентов
539 3 конфликтности
540 3 концепт
541 3 концепция
542 3 куратора
543 3 лет
544 3 личностно
545 3 личностного
546 3 медицинской
547 3 метакогнитивной
548 3 мировоззрение
549 3 мотивационно
550 3 музыкальная
551 3 музыкально
552 3 музыкальной
553 3 навыков
554 3 неязыковых
555 3 нравственном
556 3 обеспечение
557 3 обеспечения
558 3 области
559 3 образ
560 3 общении
561 3 общению
562 3 общеобразовательной
563 3 ограниченными
564 3 определение
565 3 осмысления
566 3 основания
567 3 основных
568 3 отечественной
569 3 патриотической
570 3 педагогически
571 3 поведение
572 3 позиция
573 3 полиции
574 3 полиязыковой
575 3 портрет
576 3 портфолио
577 3 правовых
578 3 практика
579 3 представителей
580 3 преподавания
581 3 преподавателей
582 3 проектной
583 3 просоциального
584 3 профессиональному
585 3 профессиональный
586 3 проявление
587 3 психических
588 3 психического
589 3 путь
590 3 развитием
591 3 результат
592 3 республики
593 3 решения
594 3 родителей
595 3 руководителей
596 3 самоорганизации
597 3 самооценка
598 3 саморазвитии
599 3 саморегуляции
600 3 связи
601 3 связь
602 3 сетевой
603 3 сети
604 3 системно
605 3 системный
606 3 сми
607 3 со
608 3 современность
609 3 содействие
610 3 создание
611 3 социальное
612 3 социальный
613 3 социокультурной
614 3 средств
615 3 структурно
616 3 субъект
617 3 субъектно
618 3 субъектной
619 3 сущности
620 3 творческое
621 3 теоретическая
622 3 типы
623 3 толерантность
624 3 трансформация
625 3 требований
626 3 тревожности
627 3 тренинг
628 3 труда
629 3 уровни
630 3 урок
631 3 успешного
632 3 устойчивость
633 3 фактора
634 3 формированию
635 3 формирующейся
636 3 фсин
637 3 функции
638 3 химии
639 3 художественно
640 3 художественного
641 3 цифровизации
642 3 человеку
643 3 черты
644 3 экологического
645 3 экологическое
646 3 экономических
647 3 эмоциональный
648 3 эстетическая
649 3 эстетической
650 3 этнической
651 3 этнокультурных
652 3 юридического
653 3 я
654 3 языковых
655 2 smart
656 2 xx
657 2 агрессивного
658 2 адаптивно
659 2 активность
660 2 активных
661 2 актуализации
662 2 акцентуаций
663 2 амбициозность
664 2 амбициях
665 2 английского
666 2 антикоррупционной
667 2 ассертивности
668 2 базовой
669 2 бакалавров
670 2 баскетболистов
671 2 важные
672 2 важных
673 2 взаимодействие
674 2 взаимодействия
675 2 взглядов
676 2 взрослости
677 2 виктимной
678 2 внеаудиторной
679 2 внутренних
680 2 воздействию
681 2 воздействия
682 2 возрастах
683 2 возрастной
684 2 возрастных
685 2 вопросы
686 2 воспитанию
687 2 воспитательной
688 2 воспитателя
689 2 восприятие
690 2 временная
691 2 временной
692 2 вторичная
693 2 вузах
694 2 выбора
695 2 высоким
696 2 высших
697 2 выявлению
698 2 генезис
699 2 города
700 2 государственно
701 2 государственной
702 2 государственных
703 2 гражданских
704 2 гуманизации
705 2 гуманистического
706 2 гуманитарного
707 2 гуманитарной
708 2 действий
709 2 дел
710 2 детьми
711 2 деятельностно
712 2 деятельностного
713 2 дизайн
714 2 дисциплины
715 2 допрофессионального
716 2 единиц
717 2 жизненная
718 2 жизненной
719 2 жизнеспособности
720 2 жизнестойкости
721 2 жизнестойкость
722 2 задач
723 2 задачи
724 2 зарубежного
725 2 здоровой
726 2 здоровый
727 2 здоровью
728 2 значимое
729 2 значимости
730 2 игра
731 2 идеи
732 2 изобразительного
733 2 или
734 2 имиджа
735 2 индивидуальности
736 2 инженера
737 2 инновативных
738 2 инструмента
739 2 интеграция
740 2 интеллект
741 2 интерпретации
742 2 интерпретация
743 2 информационном
744 2 искусств
745 2 исполнительной
746 2 использованием
747 2 использования
748 2 исследовании
749 2 исследовательской
750 2 историко
751 2 исторических
752 2 историческом
753 2 категории
754 2 качествах
755 2 квалификации
756 2 квалификаций
757 2 когнитивной
758 2 когнитивных
759 2 колледжа
760 2 команд
761 2 коммуникативно
762 2 коммуникативные
763 2 компетентностной
764 2 компетентностный
765 2 компетенция
766 2 конструкт
767 2 контекст
768 2 конфликтной
769 2 креативного
770 2 культурного
771 2 культурные
772 2 культурных
773 2 культурой
774 2 литературы
775 2 личностей
776 2 личностных
777 2 магистрантов
778 2 материале
779 2 медиаобразования
780 2 междисциплинарный
781 2 место
782 2 методико
783 2 методические
784 2 методологическая
785 2 методологическое
786 2 методология
787 2 методы
788 2 министерства
789 2 многоязычной
790 2 молодежной
791 2 моральная
792 2 моральных
793 2 мотивационный
794 2 музейной
795 2 надежности
796 2 направленного
797 2 наследия
798 2 наставничество
799 2 наук
800 2 науки
801 2 научный
802 2 начала
803 2 начального
804 2 необходимое
805 2 непрерывном
806 2 несовершеннолетних
807 2 неязыковом
808 2 нравственность
809 2 нравственные
810 2 обзор
811 2 образованию
812 2 образовательная
813 2 образовательное
814 2 обучаемых
815 2 общего
816 2 общей
817 2 общеобразовательных
818 2 общественного
819 2 обществознания
820 2 объединения
821 2 один
822 2 онлайн
823 2 определения
824 2 организационно
825 2 организационной
826 2 организованная
827 2 ориентированного
828 2 основание
829 2 особенностями
830 2 ответственной
831 2 отечественных
832 2 отношений
833 2 отраслевой
834 2 отрасли
835 2 парадигме
836 2 педагогике
837 2 педагогическом
838 2 педагогическому
839 2 первокурсника
840 2 первокурсников
841 2 перевода
842 2 переводу
843 2 переводчика
844 2 победы
845 2 поведением
846 2 поддержка
847 2 подсистемы
848 2 показатели
849 2 показатель
850 2 поколении
851 2 поле
852 2 поликультурном
853 2 пользователя
854 2 помогающих
855 2 понятие
856 2 понятий
857 2 потребностей
858 2 потребности
859 2 правоохранительных
860 2 практике
861 2 практики
862 2 практической
863 2 предпринимательской
864 2 представление
865 2 преодоления
866 2 преподавании
867 2 призму
868 2 прикладная
869 2 применение
870 2 применения
871 2 принцип
872 2 проблемное
873 2 проведения
874 2 программ
875 2 программа
876 2 проектирования
877 2 проектную
878 2 прокрастинации
879 2 пространство
880 2 профессионала
881 2 профессионализации
882 2 профессионализм
883 2 профессиональным
884 2 процесс
885 2 работающего
886 2 работе
887 2 развивающего
888 2 развитию
889 2 различия
890 2 разным
891 2 разработка
892 2 рефлексивности
893 2 речевая
894 2 речевого
895 2 речевой
896 2 речи
897 2 риска
898 2 родительских
899 2 родного
900 2 ролевой
901 2 росгвардии
902 2 российское
903 2 русский
904 2 русскому
905 2 рф
906 2 самоактуализация
907 2 самовоспитания
908 2 самодеятельном
909 2 самообразование
910 2 самообучению
911 2 самоотношения
912 2 самопознание
913 2 саморазвивающейся
914 2 самосознания
915 2 самость
916 2 самоуправления
917 2 саногенной
918 2 свойство
919 2 сельской
920 2 семье
921 2 сетей
922 2 сил
923 2 синдрома
924 2 синергетического
925 2 синергетической
926 2 сирот
927 2 систем
928 2 ситуация
929 2 ситуациях
930 2 склонность
931 2 службы
932 2 смыслового
933 2 смысловой
934 2 смыслодидактики
935 2 смысложизненных
936 2 содержании
937 2 составляющие
938 2 социальности
939 2 социальные
940 2 социокультурное
941 2 социокультурные
942 2 социокультурных
943 2 социуме
944 2 специальностей
945 2 специальности
946 2 спортом
947 2 спортсменов
948 2 старшего
949 2 старшеклассника
950 2 сторон
951 2 стратегия
952 2 стрессовых
953 2 структурных
954 2 студентами
955 2 субъективного
956 2 субъективной
957 2 субъектная
958 2 субъектности
959 2 субъектность
960 2 субъектные
961 2 сухомлинского
962 2 сущностная
963 2 сформированности
964 2 счет
965 2 творческий
966 2 творческом
967 2 театральной
968 2 тенденции
969 2 теоретизация
970 2 толерантной
971 2 традиций
972 2 тренинга
973 2 трудах
974 2 уголовно
975 2 услуг
976 2 успеха
977 2 участников
978 2 учащейся
979 2 учебном
980 2 ученика
981 2 ученого
982 2 учет
983 2 учреждении
984 2 учреждений
985 2 факультета
986 2 философский
987 2 формате
988 2 формы
989 2 характера
990 2 хореографическом
991 2 художника
992 2 ххi
993 2 цели
994 2 целостной
995 2 цель
996 2 целью
997 2 ценности
998 2 ценностях
999 2 цифрового
1000 2 цифровую
1001 2 цифровые
1002 2 человек
1003 2 чтения
1004 2 чувств
1005 2 шахматиста
1006 2 школ
1007 2 школьной
1008 2 экзистенциально
1009 2 эколого
1010 2 экономики
1011 2 экономического
1012 2 экономической
1013 2 эмоциональных
1014 2 эмпатии
1015 2 этической
1016 2 этнокультурная
1017 2 этнокультурной
1018 2 эффективной
1019 2 эффективность
1020 2 юности
1021 2 юных
1022 2 юристов
1023 2 явление
1024 2 языков
1025 1 arduino
1026 1 com
1027 1 internet
1028 1 iqdo
1029 1 it
1030 1 kahoot
1031 1 v
1032 1 viii
1033 1 weibo
1034 1 xix
1035 1 xviii
1036 1 z
1037 1 а
1038 1 авиационного
1039 1 автономия
1040 1 автономная
1041 1 автономности
1042 1 автор
1043 1 автора
1044 1 авторитете
1045 1 авторов
1046 1 авторских
1047 1 авторского
1048 1 аграрного
1049 1 агрессивности
1050 1 адаптационные
1051 1 адаптационный
1052 1 адаптация
1053 1 адаптивное
1054 1 адаптивной
1055 1 адаптивности
1056 1 адаптированности
1057 1 айкидо
1058 1 академии
1059 1 академической
1060 1 академическую
1061 1 акме
1062 1 акмеологии
1063 1 акмеологическая
1064 1 акмеологического
1065 1 акмеологическое
1066 1 акмепедагогический
1067 1 аксиологическое
1068 1 аксиология
1069 1 актерскому
1070 1 активизации
1071 1 активизация
1072 1 актуализация
1073 1 актуализирующие
1074 1 альтруистических
1075 1 анализе
1076 1 аналитико
1077 1 аналитических
1078 1 англоязычной
1079 1 англоязычном
1080 1 андрагогика
1081 1 ансамбль
1082 1 антидопинговая
1083 1 антикоррупционная
1084 1 антимода
1085 1 антропологический
1086 1 антропологическое
1087 1 арабского
1088 1 арифметика
1089 1 арт
1090 1 артпедагогики
1091 1 архетип
1092 1 асоциальность
1093 1 асоциальные
1094 1 аспектам
1095 1 аспектами
1096 1 атлетике
1097 1 атмосферу
1098 1 атомизированном
1099 1 атрибуция
1100 1 аутистического
1101 1 аффективный
1102 1 ахляк
1103 1 аэрокосмического
1104 1 база
1105 1 базовые
1106 1 базовый
1107 1 бакалавра
1108 1 безэквивалентной
1109 1 беларуси
1110 1 берцелиус
1111 1 библиотеки
1112 1 билингва
1113 1 билингвизм
1114 1 биографических
1115 1 биологии
1116 1 биоэтики
1117 1 биоэтических
1118 1 бичурина
1119 1 благополучие
1120 1 блока
1121 1 боевых
1122 1 больных
1123 1 борьбы
1124 1 булгакова
1125 1 быстро
1126 1 важнейшее
1127 1 важное
1128 1 важный
1129 1 вв
1130 1 введение
1131 1 веке
1132 1 веков
1133 1 вера
1134 1 взаимодействию
1135 1 взаимосвязей
1136 1 взгляд
1137 1 взгляды
1138 1 взрослого
1139 1 взрослых
1140 1 вид
1141 1 видам
1142 1 видеолекции
1143 1 видных
1144 1 видов
1145 1 виды
1146 1 виктимизации
1147 1 виктимному
1148 1 виктимности
1149 1 виртуализация
1150 1 вклад
1151 1 вместо
1152 1 внг
1153 1 внеучебную
1154 1 внешней
1155 1 внимания
1156 1 внутрипредметная
1157 1 вовлечённость
1158 1 воду
1159 1 военной
1160 1 военному
1161 1 военнослужащих
1162 1 военные
1163 1 вожатого
1164 1 возможностеи
1165 1 возможность
1166 1 возможностях
1167 1 возникновения
1168 1 возраст
1169 1 воинские
1170 1 воинских
1171 1 воинского
1172 1 война
1173 1 вокала
1174 1 вокально
1175 1 волевые
1176 1 волейболу
1177 1 воли
1178 1 волкова
1179 1 волонтеров
1180 1 волонтерская
1181 1 волонтерское
1182 1 волонтерскую
1183 1 волонтерство
1184 1 волонтеры
1185 1 вопроса
1186 1 воспитанника
1187 1 воспитанников
1188 1 воспитателей
1189 1 воспитательное
1190 1 воспитательном
1191 1 воспитательный
1192 1 воспитывающая
1193 1 восприятии
1194 1 восприятия
1195 1 восстановление
1196 1 востребованного
1197 1 времени
1198 1 всей
1199 1 всеобщей
1200 1 всероссийской
1201 1 всесторонне
1202 1 всестороннее
1203 1 всех
1204 1 второй
1205 1 второму
1206 1 вуз
1207 1 вузовского
1208 1 вузовской
1209 1 вузовскому
1210 1 выбор
1211 1 выборы
1212 1 выгорание
1213 1 выдающиеся
1214 1 выдающихся
1215 1 вызовы
1216 1 вызывающие
1217 1 выпускника
1218 1 выражение
1219 1 высокого
1220 1 высокой
1221 1 высоконравственной
1222 1 г
1223 1 газодымозащитной
1224 1 гармонизация
1225 1 гармонии
1226 1 гармоническая
1227 1 гармонически
1228 1 гармоничной
1229 1 гармоничную
1230 1 гармоничным
1231 1 гендерная
1232 1 гендерного
1233 1 генриха
1234 1 герман
1235 1 гиперактивных
1236 1 глобализационно
1237 1 глобальные
1238 1 голль
1239 1 горизонтах
1240 1 госслужащего
1241 1 государства
1242 1 государственный
1243 1 готовность
1244 1 гражданского
1245 1 гражданской
1246 1 грамматики
1247 1 грамотность
1248 1 границы
1249 1 грассман
1250 1 групп
1251 1 группа
1252 1 групповой
1253 1 группы
1254 1 гуманизация
1255 1 гуманистические
1256 1 гуманистический
1257 1 гуманистической
1258 1 гюнтер
1259 1 данность
1260 1 двигательной
1261 1 движение
1262 1 движущие
1263 1 двуязычных
1264 1 де
1265 1 девиантное
1266 1 девиациями
1267 1 девочек
1268 1 дезадаптированным
1269 1 дезорганизации
1270 1 декоративно
1271 1 делового
1272 1 демонстративный
1273 1 депривация
1274 1 десантник
1275 1 десоциализации
1276 1 деструктивному
1277 1 деструктивные
1278 1 деструктивными
1279 1 детерминант
1280 1 детерминанта
1281 1 детских
1282 1 детское
1283 1 детства
1284 1 деятелеи
1285 1 деятель
1286 1 диагностике
1287 1 диагностики
1288 1 диагностический
1289 1 диалог
1290 1 диалоге
1291 1 диверсификации
1292 1 дидактические
1293 1 дидактическом
1294 1 дизайнера
1295 1 дизайнерского
1296 1 дилеммы
1297 1 динамика
1298 1 динамическая
1299 1 динамические
1300 1 динамический
1301 1 дисгармонии
1302 1 дисгармоничным
1303 1 дискурс
1304 1 дискурсе
1305 1 дискурсивной
1306 1 дискурсивном
1307 1 диспозиционной
1308 1 диссертаций
1309 1 дистанционного
1310 1 дистанционном
1311 1 дисциплина
1312 1 дисциплине
1313 1 дисциплинированности
1314 1 дисциплинированность
1315 1 дифференциальные
1316 1 дифференцированного
1317 1 дню
1318 1 добровольно
1319 1 доверие
1320 1 додонова
1321 1 докторских
1322 1 должностных
1323 1 дома
1324 1 доминирующей
1325 1 домов
1326 1 дополнительной
1327 1 дополнительных
1328 1 достижения
1329 1 достоинства
1330 1 достояние
1331 1 досуговая
1332 1 досуговых
1333 1 доу
1334 1 дошкольной
1335 1 дуальная
1336 1 духовную
1337 1 духовный
1338 1 души
1339 1 европейского
1340 1 единоборцев
1341 1 единство
1342 1 естественнонаучного
1343 1 жанр
1344 1 жаңғыру
1345 1 женской
1346 1 живопись
1347 1 жизнедеятельности
1348 1 жизненные
1349 1 жизненный
1350 1 жизненным
1351 1 жизненными
1352 1 жизненных
1353 1 жизнеспособной
1354 1 жизнь
1355 1 журналиста
1356 1 заведениях
1357 1 завет
1358 1 зависимости
1359 1 зависимостям
1360 1 зависимым
1361 1 зависти
1362 1 завистливости
1363 1 заданность
1364 1 задача
1365 1 заимствования
1366 1 закономерности
1367 1 замещающего
1368 1 занимающихся
1369 1 занятия
1370 1 занятиям
1371 1 занятости
1372 1 западной
1373 1 зарубежной
1374 1 зарубежные
1375 1 зарубежный
1376 1 затруднения
1377 1 звене
1378 1 здоровьесберегающих
1379 1 здравотворчества
1380 1 значении
1381 1 значимость
1382 1 зрелом
1383 1 зрелость
1384 1 зрения
1385 1 зыку
1386 1 игрушек
1387 1 игры
1388 1 идентификацией
1389 1 идентификационной
1390 1 идея
1391 1 иерархическая
1392 1 изложения
1393 1 изменение
1394 1 изменения
1395 1 измененные
1396 1 изменяющегося
1397 1 измерение
1398 1 изобразительное
1399 1 изобразительной
1400 1 имидж
1401 1 имиджформирующей
1402 1 импровизации
1403 1 инвалидностью
1404 1 инвалидов
1405 1 индивид
1406 1 индивидуализация
1407 1 индивидуалистические
1408 1 индивидуальнопсихологических
1409 1 индивидуальные
1410 1 индикатор
1411 1 инженеров
1412 1 инициативность
1413 1 инициативы
1414 1 инклюзивного
1415 1 инклюзивном
1416 1 инновации
1417 1 инновационные
1418 1 иностранным
1419 1 иностранных
1420 1 инофонов
1421 1 иноязычное
1422 1 институте
1423 1 инструментарии
1424 1 инструментарий
1425 1 инструментария
1426 1 интегральная
1427 1 интегральное
1428 1 интегративного
1429 1 интеграции
1430 1 интегрированный
1431 1 интеллектуально
1432 1 интеллектуальными
1433 1 интеллектуальных
1434 1 интенция
1435 1 интерактивного
1436 1 интерактивной
1437 1 интересах
1438 1 интересов
1439 1 интернальних
1440 1 интернальность
1441 1 интертекстуальности
1442 1 информативного
1443 1 информатизации
1444 1 информатики
1445 1 информационному
1446 1 информационную
1447 1 инфраструктуры
1448 1 иррациональных
1449 1 искусстве
1450 1 исламе
1451 1 исламская
1452 1 исламском
1453 1 испанского
1454 1 исполнитель
1455 1 исполнительные
1456 1 исполнительства
1457 1 использовании
1458 1 использованию
1459 1 исследований
1460 1 исследованию
1461 1 исследованиям
1462 1 исследовательскую
1463 1 исследователя
1464 1 истероидному
1465 1 истоки
1466 1 истоков
1467 1 историй
1468 1 историографические
1469 1 историографический
1470 1 исторически
1471 1 исторические
1472 1 исторического
1473 1 исторической
1474 1 источник
1475 1 источники
1476 1 йоги
1477 1 йёнс
1478 1 кавказе
1479 1 кадров
1480 1 казахстан
1481 1 калужских
1482 1 капитала
1483 1 карлоса
1484 1 картины
1485 1 карьерного
1486 1 карьеры
1487 1 кастанеды
1488 1 категориальный
1489 1 категорий
1490 1 качествам
1491 1 качествами
1492 1 качественная
1493 1 качественное
1494 1 кгму
1495 1 кибербуллинг
1496 1 китайская
1497 1 китая
1498 1 класса
1499 1 классах
1500 1 классификаторов
1501 1 классификации
1502 1 классификация
1503 1 классической
1504 1 кластерного
1505 1 климат
1506 1 климата
1507 1 ключевая
1508 1 книг
1509 1 когнитивно
1510 1 колледже
1511 1 колледжей
1512 1 коллективистические
1513 1 коллективная
1514 1 командира
1515 1 команды
1516 1 комментатора
1517 1 коммуникативный
1518 1 коммуникативными
1519 1 коммуникационных
1520 1 коммуникация
1521 1 компании
1522 1 компетентностная
1523 1 компетентностное
1524 1 компетентностном
1525 1 комплекс
1526 1 комплекса
1527 1 комплексные
1528 1 комплексный
1529 1 композитор
1530 1 компонентах
1531 1 компонентный
1532 1 компьютерного
1533 1 компьютерные
1534 1 комфорта
1535 1 комфорте
1536 1 комфортности
1537 1 кондрашова
1538 1 конкурентоспособная
1539 1 конкурентоспособного
1540 1 конкуренции
1541 1 конструктивной
1542 1 конструктор
1543 1 конструкторах
1544 1 конструкторы
1545 1 конструкты
1546 1 конструкции
1547 1 консультирования
1548 1 контекстах
1549 1 контекстное
1550 1 контроль
1551 1 контрольно
1552 1 конференции
1553 1 конференция
1554 1 конфликт
1555 1 конфликта
1556 1 конфликте
1557 1 конфликтов
1558 1 конфликтоустойчивости
1559 1 концептосферы
1560 1 концептуальная
1561 1 концептуальному
1562 1 концептуальные
1563 1 концепциях
1564 1 копинг
1565 1 коррупционная
1566 1 коуч
1567 1 кох
1568 1 края
1569 1 креативно
1570 1 креативность
1571 1 кризис
1572 1 кризиса
1573 1 кризисов
1574 1 критерий
1575 1 критерия
1576 1 критическом
1577 1 кросс
1578 1 кружок
1579 1 культур
1580 1 культурное
1581 1 культурном
1582 1 культурный
1583 1 культурным
1584 1 культурологической
1585 1 культуротворческой
1586 1 культуру
1587 1 курсам
1588 1 курсантами
1589 1 курсов
1590 1 ландшафт
1591 1 легендарная
1592 1 легкоатлетов
1593 1 лексикографическая
1594 1 лексикой
1595 1 лексикологии
1596 1 лексикона
1597 1 лекции
1598 1 лжи
1599 1 лидера
1600 1 лидерских
1601 1 лидерского
1602 1 лингвиста
1603 1 лингвистическая
1604 1 лингвистический
1605 1 лингвистов
1606 1 лингвокультурной
1607 1 лингвориторические
1608 1 лингвориторический
1609 1 линия
1610 1 литература
1611 1 лиц
1612 1 лицей
1613 1 личного
1614 1 личност
1615 1 личностик
1616 1 личностиотечественный
1617 1 личностное
1618 1 личностной
1619 1 личностные
1620 1 логико
1621 1 логические
1622 1 ломоносов
1623 1 лёгкой
1624 1 магистерское
1625 1 маи
1626 1 марафона
1627 1 маркетинга
1628 1 маска
1629 1 мастерства
1630 1 мастерству
1631 1 математики
1632 1 математический
1633 1 математических
1634 1 математическое
1635 1 материалам
1636 1 материалах
1637 1 материально
1638 1 материнских
1639 1 мбоу
1640 1 мгппу
1641 1 медиадискурсе
1642 1 медиаобразование
1643 1 медиаобразовательной
1644 1 медиатекст
1645 1 медиков
1646 1 медицинских
1647 1 междисциплинарных
1648 1 международная
1649 1 международной
1650 1 межкультурному
1651 1 межличностной
1652 1 межличностном
1653 1 межнационального
1654 1 межпредметные
1655 1 межпредметных
1656 1 межэтнических
1657 1 менеджера
1658 1 менеджеров
1659 1 менеджмент
1660 1 менеджмента
1661 1 менее
1662 1 ментальная
1663 1 меняющемся
1664 1 места
1665 1 месте
1666 1 местности
1667 1 местных
1668 1 метапредметный
1669 1 метода
1670 1 методах
1671 1 методический
1672 1 методической
1673 1 методологических
1674 1 механизма
1675 1 микроблога
1676 1 минимизации
1677 1 мировая
1678 1 мировом
1679 1 миссия
1680 1 мистицизм
1681 1 мифологическая
1682 1 многодетных
1683 1 многомерное
1684 1 многомерность
1685 1 многопрофильной
1686 1 многоязычие
1687 1 мобильных
1688 1 модернизации
1689 1 модульного
1690 1 модульной
1691 1 молодежью
1692 1 молодого
1693 1 мордовии
1694 1 мордовия
1695 1 мотива
1696 1 мотивами
1697 1 мотивационного
1698 1 мотивационное
1699 1 мотивационные
1700 1 мотивов
1701 1 музея
1702 1 музыкальное
1703 1 музыкальному
1704 1 музыкантов
1705 1 мыследеятельностной
1706 1 мышление
1707 1 мягких
1708 1 наблюдательность
1709 1 навык
1710 1 назначение
1711 1 наименованием
1712 1 направление
1713 1 направлении
1714 1 направленностью
1715 1 направленных
1716 1 напряжении
1717 1 народной
1718 1 народных
1719 1 нарративе
1720 1 нарративизации
1721 1 нарративные
1722 1 нарушениями
1723 1 наследие
1724 1 настояще
1725 1 научная
1726 1 научной
1727 1 научных
1728 1 нахимовцев
1729 1 национальная
1730 1 национальных
1731 1 начальной
1732 1 начальных
1733 1 не
1734 1 невротическая
1735 1 негативное
1736 1 негативных
1737 1 негосударственных
1738 1 ней
1739 1 нелингвистического
1740 1 немецкому
1741 1 ненормативного
1742 1 необходимая
1743 1 необходимость
1744 1 необходимый
1745 1 неотъемлемая
1746 1 неотъемлемой
1747 1 неотъемлемый
1748 1 непрерывное
1749 1 нервно
1750 1 несовершеннолетнего
1751 1 неформального
1752 1 нефтегазовой
1753 1 нип
1754 1 ниу
1755 1 новаторов
1756 1 новая
1757 1 новой
1758 1 новом
1759 1 новообразований
1760 1 новые
1761 1 новых
1762 1 нормативность
1763 1 нормы
1764 1 нравственная
1765 1 нравственный
1766 1 обеспечении
1767 1 обеспечению
1768 1 обеспечивающей
1769 1 областного
1770 1 обобщенных
1771 1 обороны
1772 1 обоснование
1773 1 обоснованию
1774 1 образного
1775 1 образных
1776 1 образований
1777 1 образовательно
1778 1 образовательные
1779 1 образовательный
1780 1 обратной
1781 1 обращение
1782 1 обуславливающие
1783 1 обусловленной
1784 1 обучающейся
1785 1 обучающимися
1786 1 обучению
1787 1 общекультурном
1788 1 общем
1789 1 общение
1790 1 общеобразовательного
1791 1 общепедагогических
1792 1 общественно
1793 1 общественных
1794 1 общество
1795 1 обществу
1796 1 объект
1797 1 объективного
1798 1 овз
1799 1 огневой
1800 1 одаренного
1801 1 одаренности
1802 1 одаренными
1803 1 одна
1804 1 одно
1805 1 одной
1806 1 оздоровительных
1807 1 ознакомления
1808 1 окуджавы
1809 1 олимпиады
1810 1 олимпийского
1811 1 онтодидактики
1812 1 опасными
1813 1 опасных
1814 1 операционализации
1815 1 опосредствующие
1816 1 определением
1817 1 определении
1818 1 определению
1819 1 определяющие
1820 1 опроса
1821 1 опытно
1822 1 организатора
1823 1 организаторская
1824 1 организациия
1825 1 организационные
1826 1 организованной
1827 1 ориентацией
1828 1 ориентира
1829 1 ориентированном
1830 1 ориентированный
1831 1 ориентиры
1832 1 орфа
1833 1 освоения
1834 1 осмысление
1835 1 осмыслении
1836 1 основанного
1837 1 основатель
1838 1 основная
1839 1 особенностеи
1840 1 осуществлению
1841 1 осуществляемую
1842 1 отбор
1843 1 отдельным
1844 1 отклонении
1845 1 отклонения
1846 1 откровения
1847 1 открытой
1848 1 отношение
1849 1 отношении
1850 1 отношениях
1851 1 отраслевая
1852 1 отрицание
1853 1 отрочестве
1854 1 офицера
1855 1 охраны
1856 1 оценка
1857 1 оценочной
1858 1 павлову
1859 1 пансофийских
1860 1 парадигмы
1861 1 партнерства
1862 1 парусного
1863 1 патентно
1864 1 патриота
1865 1 патриотических
1866 1 патриотическую
1867 1 паттерны
1868 1 певческой
1869 1 педагогичекой
1870 1 педагогическим
1871 1 педвуза
1872 1 пения
1873 1 первичной
1874 1 первых
1875 1 перевернутого
1876 1 переводе
1877 1 переводческой
1878 1 переживания
1879 1 переживающих
1880 1 периоды
1881 1 персоналии
1882 1 персональная
1883 1 персонификация
1884 1 персонифицированного
1885 1 перспектива
1886 1 перспективное
1887 1 перцептивной
1888 1 письмах
1889 1 письменному
1890 1 планирование
1891 1 платформа
1892 1 побудительный
1893 1 поведении
1894 1 поведению
1895 1 повседневной
1896 1 повышение
1897 1 повышении
1898 1 поговорок
1899 1 погоне
1900 1 под
1901 1 подавления
1902 1 подверженность
1903 1 подготовку
1904 1 подражания
1905 1 подразделений
1906 1 подростками
1907 1 подросткового
1908 1 пожарного
1909 1 пожилом
1910 1 позитивные
1911 1 позиций
1912 1 познавательной
1913 1 познанию
1914 1 поил
1915 1 поисков
1916 1 поколения
1917 1 полезной
1918 1 полемическому
1919 1 поликультурность
1920 1 полилингвальной
1921 1 полилингвальном
1922 1 полилингвокультурном
1923 1 полимодальности
1924 1 политики
1925 1 политическая
1926 1 политического
1927 1 политическом
1928 1 полициисоциально
1929 1 полноценного
1930 1 половозрастные
1931 1 положительной
1932 1 получающих
1933 1 поля
1934 1 помощи
1935 1 помощью
1936 1 портрета
1937 1 портретная
1938 1 посвященная
1939 1 пословиц
1940 1 посредника
1941 1 постановка
1942 1 постановке
1943 1 постиндустриальном
1944 1 построении
1945 1 потерять
1946 1 потребностной
1947 1 потребность
1948 1 поэта
1949 1 поэтапной
1950 1 поэтических
1951 1 права
1952 1 правовое
1953 1 православная
1954 1 православного
1955 1 православной
1956 1 православном
1957 1 праздничной
1958 1 практик
1959 1 практического
1960 1 преадаптивных
1961 1 предисловия
1962 1 предметная
1963 1 предметно
1964 1 предметной
1965 1 предназначении
1966 1 предпосылка
1967 1 предпринимательских
1968 1 предрасположенность
1969 1 представлении
1970 1 представлений
1971 1 преобладание
1972 1 преодолевать
1973 1 преодолении
1974 1 преподавание
1975 1 преподавателям
1976 1 преступника
1977 1 прецедентности
1978 1 прецедентные
1979 1 привнесение
1980 1 приемного
1981 1 приемы
1982 1 признак
1983 1 признаками
1984 1 прикладного
1985 1 прикладные
1986 1 приложении
1987 1 применительно
1988 1 пример
1989 1 примерах
1990 1 приоритетная
1991 1 приоритетные
1992 1 приоритетных
1993 1 природной
1994 1 природы
1995 1 притязаний
1996 1 причины
1997 1 проблематизации
1998 1 проблематика
1999 1 проблему
2000 1 прогноза
2001 1 прогнозирование
2002 1 программах
2003 1 программе
2004 1 программное
2005 1 продолжать
2006 1 продукт
2007 1 продуктивного
2008 1 продуктивному
2009 1 продуктивных
2010 1 проекта
2011 1 проектная
2012 1 проектно
2013 1 проектное
2014 1 проектов
2015 1 промышленного
2016 1 пропедевтика
2017 1 пророческого
2018 1 просвещение
2019 1 пространственной
2020 1 протвино
2021 1 профессий
2022 1 профессионализация
2023 1 профессиональную
2024 1 профессиональные
2025 1 профессиях
2026 1 профилактика
2027 1 профиль
2028 1 профильных
2029 1 процессах
2030 1 процессом
2031 1 процессу
2032 1 прошло
2033 1 прыгунов
2034 1 психиатров
2035 1 психика
2036 1 психическое
2037 1 психо
2038 1 психоаналитических
2039 1 психодиагностики
2040 1 психодиагностическая
2041 1 психодинамических
2042 1 психолог
2043 1 психологически
2044 1 психологическими
2045 1 психологическом
2046 1 психологическому
2047 1 психологопедагогическая
2048 1 психопластики
2049 1 психотерапия
2050 1 психофизиологическая
2051 1 психоэмоциональное
2052 1 путем
2053 1 пушкина
2054 1 работах
2055 1 работающих
2056 1 работника
2057 1 работников
2058 1 работой
2059 1 работу
2060 1 развивающей
2061 1 развивающейся
2062 1 различий
2063 1 различной
2064 1 различным
2065 1 различными
2066 1 разными
2067 1 разных
2068 1 разработанности
2069 1 разработке
2070 1 районного
2071 1 районном
2072 1 ранней
2073 1 ранних
2074 1 ранхигс
2075 1 раскрытия
2076 1 расстройствами
2077 1 расширения
2078 1 реактивные
2079 1 реализационной
2080 1 реализацию
2081 1 реальной
2082 1 реальности
2083 1 регулирования
2084 1 регуляции
2085 1 резерва
2086 1 результатам
2087 1 результативностью
2088 1 результатов
2089 1 результаты
2090 1 рекламиста
2091 1 рекламному
2092 1 реконструкции
2093 1 религиозной
2094 1 республике
2095 1 ресурса
2096 1 ресурсное
2097 1 ресурсов
2098 1 ресурсы
2099 1 рефлексивно
2100 1 рефлексивного
2101 1 рефлексивность
2102 1 рефлексивные
2103 1 речевое
2104 1 решение
2105 1 риски
2106 1 рисков
2107 1 ритма
2108 1 риторическая
2109 1 ритуалов
2110 1 ритуалы
2111 1 роботизированных
2112 1 робототехника
2113 1 робототехники
2114 1 родительская
2115 1 родительские
2116 1 родителя
2117 1 ролевого
2118 1 ролевое
2119 1 росси
2120 1 российская
2121 1 российских
2122 1 российском
2123 1 рубеже
2124 1 руководитель
2125 1 русская
2126 1 русско
2127 1 русской
2128 1 русском
2129 1 русскоязычной
2130 1 рухани
2131 1 рынку
2132 1 сада
2133 1 самоактуализирующейся
2134 1 самоанализа
2135 1 самовоспитание
2136 1 самовоспитанию
2137 1 самовосприятия
2138 1 самодвижения
2139 1 самодетерминации
2140 1 самоконтроля
2141 1 самообразования
2142 1 самоопределении
2143 1 самоопределяющий
2144 1 самоорганизацию
2145 1 самоотношением
2146 1 самооценку
2147 1 самопрезентация
2148 1 саморазвитию
2149 1 самораскрытия
2150 1 самореализацию
2151 1 самосовершенствование
2152 1 самосознание
2153 1 самостоятельная
2154 1 самостоятельности
2155 1 самостоятельность
2156 1 самоэффективность
2157 1 саха
2158 1 сборных
2159 1 светском
2160 1 свобода
2161 1 свободы
2162 1 своих
2163 1 связей
2164 1 севера
2165 1 северном
2166 1 семантики
2167 1 семейного
2168 1 семейное
2169 1 семейному
2170 1 семейных
2171 1 семинар
2172 1 семиотический
2173 1 сензитивности
2174 1 сервиса
2175 1 сердечного
2176 1 сестры
2177 1 сетевом
2178 1 сибирского
2179 1 сигнальных
2180 1 силы
2181 1 симбиоз
2182 1 синдром
2183 1 синергетические
2184 1 синергетический
2185 1 синхронисток
2186 1 системного
2187 1 системность
2188 1 системогенез
2189 1 систему
2190 1 ситуативная
2191 1 ситуативной
2192 1 ситуаций
2193 1 ситуациям
2194 1 сквозь
2195 1 склонности
2196 1 склонностью
2197 1 склонных
2198 1 скорой
2199 1 скрывается
2200 1 следственных
2201 1 сложившаяся
2202 1 служебной
2203 1 служение
2204 1 слушатель
2205 1 смарт
2206 1 смысловая
2207 1 смысловые
2208 1 смысложизненные
2209 1 событийная
2210 1 совершенствование
2211 1 совершенствовании
2212 1 советской
2213 1 совладеющего
2214 1 современным
2215 1 содействия
2216 1 содержанию
2217 1 содержательная
2218 1 содержательного
2219 1 содержательный
2220 1 созданию
2221 1 сольного
2222 1 соотношение
2223 1 сопоставительный
2224 1 сопротивляемости
2225 1 состав
2226 1 составляющая
2227 1 сотворчества
2228 1 сотрудничества
2229 1 сохранении
2230 1 социализацию
2231 1 социальном
2232 1 социальными
2233 1 социокоммуникативная
2234 1 социокультурного
2235 1 социологическая
2236 1 социологического
2237 1 социономической
2238 1 социопатия
2239 1 социотипа
2240 1 спектра
2241 1 специальностеи
2242 1 специальным
2243 1 спецификации
2244 1 сплоченности
2245 1 спо
2246 1 спорстменов
2247 1 спорт
2248 1 спортивно
2249 1 спортивное
2250 1 спортивном
2251 1 спортивные
2252 1 спорту
2253 1 способа
2254 1 способы
2255 1 сравнения
2256 1 сравнительный
2257 1 средней
2258 1 среднем
2259 1 средовой
2260 1 средства
2261 1 стабилизации
2262 1 стажем
2263 1 стандартов
2264 1 старшеклассниками
2265 1 старших
2266 1 статуса
2267 1 стилей
2268 1 стили
2269 1 стиля
2270 1 стимулировании
2271 1 стимулы
2272 1 стоматолога
2273 1 страница
2274 1 страницах
2275 1 стратегий
2276 1 стратегическая
2277 1 стратегиями
2278 1 стрелка
2279 1 стрельбы
2280 1 стресса
2281 1 стрессоустойчивости
2282 1 структурная
2283 1 структурной
2284 1 структурные
2285 1 студенческий
2286 1 студенческих
2287 1 студенческого
2288 1 студенческом
2289 1 студенчестве
2290 1 субстанционально
2291 1 субстрата
2292 1 субъектов
2293 1 суворовцев
2294 1 судебно
2295 1 суицид
2296 1 существенный
2297 1 существующих
2298 1 сущностные
2299 1 сфера
2300 1 сферой
2301 1 сша
2302 1 таджикских
2303 1 также
2304 1 таковых
2305 1 тактика
2306 1 танца
2307 1 танцевальной
2308 1 творческие
2309 1 творческих
2310 1 творчеством
2311 1 театр
2312 1 театрализованной
2313 1 театральная
2314 1 театрального
2315 1 тезауруса
2316 1 тезаурусный
2317 1 текстах
2318 1 тексте
2319 1 тексты
2320 1 телесная
2321 1 тем
2322 1 темпоральная
2323 1 темпоральные
2324 1 теоретических
2325 1 теоретическое
2326 1 теоретическом
2327 1 теориябожович
2328 1 теориях
2329 1 терапия
2330 1 терминологии
2331 1 территориальных
2332 1 технической
2333 1 технологический
2334 1 технологической
2335 1 техносферной
2336 1 течение
2337 1 типами
2338 1 типологии
2339 1 типологический
2340 1 типологических
2341 1 типообразующих
2342 1 типу
2343 1 толерантное
2344 1 толерантностью
2345 1 толерантными
2346 1 толкованию
2347 1 толстого
2348 1 точки
2349 1 традиции
2350 1 традиционном
2351 1 транспорте
2352 1 транспрофессиональных
2353 1 тревожность
2354 1 трезвого
2355 1 тренера
2356 1 трехъязычного
2357 1 триады
2358 1 триалектическое
2359 1 труд
2360 1 трудная
2361 1 трудновоспитуемыми
2362 1 трудностей
2363 1 трудности
2364 1 трудным
2365 1 трудового
2366 1 трудовое
2367 1 туристского
2368 1 тюдора
2369 1 угроз
2370 1 угроза
2371 1 удовлетворенности
2372 1 удостоверения
2373 1 украинского
2374 1 украинской
2375 1 украинскому
2376 1 умение
2377 1 умений
2378 1 умственное
2379 1 универсальная
2380 1 универсальное
2381 1 универсальный
2382 1 универсальных
2383 1 университете
2384 1 уподобление
2385 1 управленцасоциокультурный
2386 1 управленческих
2387 1 управленческого
2388 1 упражнение
2389 1 упражнений
2390 1 уровне
2391 1 уровней
2392 1 уровнями
2393 1 уроке
2394 1 усвоения
2395 1 усиления
2396 1 условиям
2397 1 условно
2398 1 успеваемости
2399 1 успеваемость
2400 1 успешность
2401 1 установки
2402 1 устной
2403 1 устойчивых
2404 1 учебника
2405 1 учебниках
2406 1 учебников
2407 1 учебного
2408 1 учение
2409 1 учении
2410 1 ученического
2411 1 ученый
2412 1 учету
2413 1 училища
2414 1 учреждения
2415 1 учёт
2416 1 ушинского
2417 1 факторах
2418 1 факторов
2419 1 факультативного
2420 1 факультетов
2421 1 фасилитация
2422 1 федеральных
2423 1 феноменология
2424 1 физике
2425 1 физиологического
2426 1 физическом
2427 1 физическому
2428 1 физическую
2429 1 физкультурно
2430 1 физкультурного
2431 1 физкультурной
2432 1 филиала
2433 1 филологический
2434 1 философии
2435 1 философия
2436 1 философская
2437 1 философского
2438 1 философской
2439 1 фильмы
2440 1 фламенко
2441 1 флуктуации
2442 1 фольклору
2443 1 форм
2444 1 форма
2445 1 формально
2446 1 форматов
2447 1 формированием
2448 1 формирующих
2449 1 формообразования
2450 1 форумов
2451 1 фразеологических
2452 1 французского
2453 1 функциональная
2454 1 функциональной
2455 1 функциональности
2456 1 функциональных
2457 1 х
2458 1 характере
2459 1 характерная
2460 1 характерные
2461 1 характерологических
2462 1 ходе
2463 1 хозяйственно
2464 1 холокоста
2465 1 хомяков
2466 1 хореографиеи
2467 1 хореографического
2468 1 хореографическое
2469 1 хореографов
2470 1 хоровое
2471 1 художественная
2472 1 художественной
2473 1 художественном
2474 1 художников
2475 1 хх
2476 1 целевой
2477 1 целей
2478 1 целенаправленного
2479 1 целеполагания
2480 1 целом
2481 1 целостного
2482 1 целостности
2483 1 цельности
2484 1 ценностная
2485 1 ценностное
2486 1 ценностной
2487 1 ценностный
2488 1 ценностями
2489 1 центениалов
2490 1 центра
2491 1 центрах
2492 1 центров
2493 1 цифровая
2494 1 части
2495 1 человеческая
2496 1 человеческого
2497 1 черт
2498 1 чертами
2499 1 чрезвычайных
2500 1 чтение
2501 1 чтению
2502 1 что
2503 1 чувственный
2504 1 шадриков
2505 1 шарль
2506 1 шведский
2507 1 школа
2508 1 школьный
2509 1 школьных
2510 1 штайнера
2511 1 эволюционного
2512 1 эгоизм
2513 1 экзистенциальная
2514 1 экзистенциальной
2515 1 экзистенциальных
2516 1 эко
2517 1 экологии
2518 1 экология
2519 1 экономическая
2520 1 эксперимента
2521 1 экспериментального
2522 1 экспериментальной
2523 1 экстремизма
2524 1 элективным
2525 1 электронных
2526 1 элитарного
2527 1 элитарной
2528 1 эмигранта
2529 1 эмоции
2530 1 эмоциональная
2531 1 эмоционально
2532 1 эмоциональное
2533 1 эмоциональности
2534 1 эмоциональные
2535 1 эмпатийных
2536 1 эмпирического
2537 1 эпос
2538 1 эпох
2539 1 эпоха
2540 1 эпохи
2541 1 эргономического
2542 1 эстетико
2543 1 эстетическом
2544 1 эстонский
2545 1 эстонском
2546 1 эталона
2547 1 этап
2548 1 этапах
2549 1 этапов
2550 1 этика
2551 1 этим
2552 1 этическая
2553 1 этический
2554 1 этических
2555 1 этническая
2556 1 этнический
2557 1 этнического
2558 1 этно
2559 1 этнокультурное
2560 1 этнокультурный
2561 1 этнопедагогики
2562 1 этнопедагогический
2563 1 этнопедагогических
2564 1 этнорегиональной
2565 1 этноса
2566 1 эффективного
2567 1 юношеи
2568 1 юношеского
2569 1 юридической
2570 1 явлении
2571 1 ядова
2572 1 ядро
2573 1 языкам
2574 1 языке
2575 1 языковом
2576 1 якоб
2577 1 яковлева
2578 1 якутии
2579 1 японского
#Word Types: 2579
#Word Tokens: 11229
#Search Hits: 0
1 1112 личности
5 146 развития
7 133 формирования
8 103 культуры
10 88 развитие
11 87 формирование
12 76 студентов
13 75 особенности
14 72 процессе
15 68 образования
16 68 студента
17 65 деятельности
18 60 фактор
19 57 воспитания
20 57 профессиональной
21 57 условиях
22 55 роль
23 53 личность
24 52 влияние
26 52 языковой
27 50 физической
28 48 социально
29 43 педагога
30 41 вуза
31 41 формировании
32 38 профессионального
34 36 проблемы
35 35 качеств
36 34 духовно
37 33 воспитание
38 32 направленности
39 32 образовательной
40 32 проблема
41 32 становления
42 31 системе
43 29 будущего
44 28 средство
46 27 вопросу
47 27 курсантов
48 27 обучения
50 27 творческой
51 26 контексте
52 25 культура
53 25 потенциала
54 25 профессионально
55 25 психологические
56 25 ребенка
57 25 саморазвития
58 24 основы
59 24 развитии
60 24 школьника
61 23 аспекты
62 22 психолого
63 22 среды
64 21 взаимосвязь
65 20 вузе
66 20 образовательных
67 20 современного
68 20 социализации
69 20 структуре
70 19 качества
71 19 обучающихся
72 19 организации
73 19 подростков
74 19 россии
75 18 безопасности
77 18 основа
78 18 педагогические
79 18 педагогического
81 18 современных
82 18 учителя
83 18 языка
84 17 анализ
85 17 жизни
86 17 нравственного
87 17 подход
88 17 технологии
89 17 учащихся
90 16 будущих
91 16 изучения
92 16 модель
93 16 поведения
94 16 примере
95 16 психологической
96 16 самореализации
97 16 становлении
98 16 школы
99 15 исследование
100 15 специалиста
101 15 спорта
102 15 средствами
103 15 сферы
104 15 условие
105 14 непрерывного
106 14 образовании
107 14 обучающегося
108 14 педагогической
109 14 подготовки
110 14 подхода
111 14 пространстве
112 14 работы
113 14 современной
114 13 аспект
117 13 идентичности
118 13 конкурентоспособной
119 13 нравственных
120 13 подростка
121 13 поликультурной
122 13 профессиональное
123 13 становление
124 13 школе
125 12 воспитании
126 12 высшей
127 12 изучение
128 12 нравственное
129 12 педагогов
130 12 подходы
131 12 понятия
132 12 преподавателя
133 12 системы
134 12 среде
135 12 факторы
136 12 школьников
137 11 детей
138 11 иностранного
139 11 интеллекта
140 11 исследования
141 11 компетентность
142 11 младшего
143 11 молодежи
144 11 нравственной
145 11 образовательном
146 11 обучении
147 11 организаций
148 11 особенностей
149 11 психологии
150 11 реализации
151 11 структуры
152 11 теоретические
153 11 характеристика
154 11 эмоционального
155 10 деятельность
156 10 здоровья
157 10 значение
159 10 иностранному
160 10 компетентности
161 10 компонент
162 10 мотивации
163 10 ориентаций
164 10 педагогическая
165 10 пространства
166 10 психологов
167 10 система
168 10 типа
169 10 юношеском
170 9 взаимосвязи
171 9 возможности
172 9 возрасте
173 9 вторичной
174 9 высшего
175 9 информационная
176 9 информационной
179 9 методологические
180 9 младших
181 9 образование
182 9 обществе
183 9 ориентации
184 9 педагогических
185 9 педагогическое
186 9 потенциал
187 9 профессиональная
188 9 психологический
189 9 психологических
190 9 психологического
191 9 самоопределение
192 9 свойств
193 9 современном
194 9 социального
195 9 социальной
196 9 способностей
197 9 сущность
198 9 творческого
199 9 уроках
200 9 устойчивости
201 9 физического
202 9 характеристик
203 9 ценностно
204 9 ценностные
205 9 человека
206 9 этапе
207 9 языку
208 8 аспекте
209 8 безопасность
210 8 готовности
211 8 духовной
212 8 информационно
213 8 информационного
214 8 искусства
215 8 концепции
216 8 национальной
217 8 образа
218 8 опыт
219 8 основе
220 8 позиции
221 8 проблеме
222 8 профессии
223 8 процесса
224 8 психологическая
225 8 рамках
226 8 ресурс
227 8 содержание
228 8 социальная
229 8 теоретико
230 8 условия
231 8 учебной
232 8 учителей
233 8 феномен
234 8 ценностей
235 8 через
236 7 военного
237 7 возможностей
238 7 врача
239 7 вузов
240 7 индивидуально
241 7 инновационного
242 7 культурной
243 7 курсанта
244 7 направленность
245 7 нравственно
246 7 образовательного
247 7 общества
248 7 педагогический
249 7 повышения
250 7 посредством
251 7 психолога
252 7 психологическое
253 7 пути
254 7 российской
255 7 саморазвитие
256 7 самореализация
257 7 ситуации
258 7 сопровождения
259 7 социализация
260 7 социальных
261 7 структура
262 7 теории
263 7 технологий
264 7 толерантности
265 7 управления
266 7 уровнем
267 7 условий
268 7 установок
269 7 характеристики
270 7 ценностных
272 6 активности
273 6 возраста
274 6 волевых
275 6 воспитательная
276 6 выгорания
277 6 дополнительного
278 6 дошкольника
279 6 духовного
280 6 жизненного
281 6 здорового
282 6 инновационной
283 6 использование
284 6 истории
285 6 качество
286 6 компетенции
287 6 методика
288 6 модели
289 6 морально
290 6 музыки
291 6 обучение
292 6 общения
293 6 организация
294 6 основные
295 6 перспективы
296 6 профессиональных
297 6 проявления
298 6 развитой
299 6 роли
300 6 самостоятельной
301 6 совершенствования
302 6 сознания
303 6 сопровождение
304 6 спортивной
305 6 способ
306 6 среда
307 6 стратегии
308 6 творческая
309 6 учащегося
310 6 физическое
311 6 языковая
312 5 безопасного
313 5 благополучия
314 5 влияния
315 5 войск
316 5 гармонично
317 5 гвардии
318 5 глобализации
319 5 гражданско
320 5 деформации
321 5 здоровье
322 5 значимых
323 5 изучении
324 5 категория
325 5 коммуникативная
326 5 коммуникативных
327 5 медицинского
328 5 методов
329 5 методологический
330 5 механизм
331 5 механизмы
332 5 мира
333 5 моделирования
334 5 мотивационной
335 5 оптимизации
336 5 ответственность
337 5 педагогики
338 5 предпосылки
339 5 рефлексии
340 5 русского
341 5 самоактуализации
342 5 самоопределения
343 5 свойства
344 5 семьи
345 5 сотрудника
346 5 сотрудников
347 5 специфика
348 5 спорте
349 5 студенческой
350 5 субъекта
351 5 сфере
352 5 теоретический
353 5 технического
354 5 технология
355 5 уровня
356 5 успешности
357 5 учебных
358 5 учетом
359 5 федерации
360 5 физическая
361 5 ценностного
362 5 цифровом
363 5 экологическая
364 5 эпоху
365 5 эстетического
366 5 язык
367 4 адаптации
368 4 актуальные
369 4 века
370 4 внеурочной
372 4 военнослужащего
373 4 возможностями
374 4 выборе
375 4 гармонизации
376 4 гармоничное
377 4 гуманитарных
378 4 деформация
379 4 дисциплин
380 4 дошкольного
381 4 духовном
382 4 духовных
384 4 занятий
385 4 занятиях
386 4 зарубежных
387 4 идентичность
388 4 иностранный
389 4 иноязычной
390 4 интернет
391 4 исследованиях
392 4 классов
393 4 коллектива
394 4 коммуникативной
395 4 компонента
396 4 компоненты
397 4 конкурентоспособности
398 4 креативности
399 4 критерии
400 4 культуре
401 4 культурно
402 4 курса
403 4 литературе
404 4 личностью
405 4 межкультурной
406 4 метод
407 4 мире
408 4 мировоззрения
409 4 моделирование
410 4 молодёжи
411 4 мотивация
412 4 музыкального
413 4 музыканта
414 4 мышления
415 4 направления
416 4 науке
417 4 научно
418 4 научного
421 4 опыта
422 4 органов
423 4 основ
425 4 ответственности
426 4 отношения
427 4 оценки
428 4 патриотического
429 4 патриотическое
430 4 педагог
431 4 педагогика
432 4 период
433 4 подготовка
434 4 подготовке
435 4 поддержки
436 4 подростковом
437 4 подходов
438 4 познавательных
439 4 поликультурного
440 4 правовой
441 4 принципы
442 4 программы
443 4 проектирование
444 4 профессиональном
445 4 профилактики
446 4 профиля
447 4 психология
448 4 работа
449 4 реализация
450 4 руководителя
451 4 самоопределению
452 4 самооценки
453 4 смысловых
454 4 современное
455 4 современные
456 4 содержания
457 4 создания
458 4 составляющей
459 4 состояние
460 4 состояния
461 4 социокультурном
462 4 социокультурный
463 4 специалистов
464 4 спортивного
465 4 спортсмена
466 4 способности
467 4 старшеклассников
468 4 творчества
469 4 творчество
470 4 темперамента
471 4 теоретизации
472 4 теория
473 4 техническом
474 4 трансформации
475 4 университета
476 4 управление
477 4 управленческой
478 4 уровень
479 4 успешной
480 4 учебно
481 4 цикла
482 4 школьного
483 4 экологической
484 4 элемент
485 4 эмоциональной
486 4 эффективности
488 3 аксиологические
489 3 активной
490 3 анализа
491 3 важность
492 3 виртуальной
493 3 влияющие
494 3 военно
495 3 военных
496 3 воздействие
497 3 всестороннего
498 3 выпускников
499 3 гармоничного
500 3 гендерные
501 3 гражданина
502 3 девиантного
503 3 детерминанты
504 3 детско
505 3 детского
506 3 деятельностный
507 3 диагностика
508 3 духовности
509 3 духовность
511 3 заведении
512 3 залог
513 3 защиты
514 3 знаний
515 3 значимого
516 3 значимые
517 3 значимый
518 3 идеале
519 3 идентификации
520 3 идентификация
521 3 изучению
522 3 индивидуальность
523 3 иноязычного
524 3 института
525 3 инструмент
526 3 интеллектуального
527 3 интеллектуальной
528 3 интерактивных
529 3 информационных
530 3 искусство
531 3 история
532 3 итогам
533 3 китайской
534 3 коллективе
535 3 коммуникативного
536 3 коммуникации
537 3 компетентностного
538 3 компонентов
539 3 конфликтности
540 3 концепт
541 3 концепция
542 3 куратора
543 3 лет
544 3 личностно
545 3 личностного
546 3 медицинской
547 3 метакогнитивной
548 3 мировоззрение
549 3 мотивационно
550 3 музыкальная
551 3 музыкально
552 3 музыкальной
553 3 навыков
554 3 неязыковых
555 3 нравственном
556 3 обеспечение
557 3 обеспечения
558 3 области
559 3 образ
560 3 общении
561 3 общению
562 3 общеобразовательной
563 3 ограниченными
564 3 определение
565 3 осмысления
566 3 основания
567 3 основных
568 3 отечественной
569 3 патриотической
570 3 педагогически
571 3 поведение
572 3 позиция
573 3 полиции
574 3 полиязыковой
575 3 портрет
576 3 портфолио
577 3 правовых
578 3 практика
579 3 представителей
580 3 преподавания
581 3 преподавателей
582 3 проектной
583 3 просоциального
584 3 профессиональному
585 3 профессиональный
586 3 проявление
587 3 психических
588 3 психического
589 3 путь
590 3 развитием
591 3 результат
592 3 республики
593 3 решения
594 3 родителей
595 3 руководителей
596 3 самоорганизации
597 3 самооценка
598 3 саморазвитии
599 3 саморегуляции
600 3 связи
601 3 связь
602 3 сетевой
603 3 сети
604 3 системно
605 3 системный
608 3 современность
609 3 содействие
610 3 создание
611 3 социальное
612 3 социальный
613 3 социокультурной
614 3 средств
615 3 структурно
616 3 субъект
617 3 субъектно
618 3 субъектной
619 3 сущности
620 3 творческое
621 3 теоретическая
622 3 типы
623 3 толерантность
624 3 трансформация
625 3 требований
626 3 тревожности
627 3 тренинг
628 3 труда
629 3 уровни
630 3 урок
631 3 успешного
632 3 устойчивость
633 3 фактора
634 3 формированию
635 3 формирующейся
637 3 функции
638 3 химии
639 3 художественно
640 3 художественного
641 3 цифровизации
642 3 человеку
643 3 черты
644 3 экологического
645 3 экологическое
646 3 экономических
647 3 эмоциональный
648 3 эстетическая
649 3 эстетической
650 3 этнической
651 3 этнокультурных
652 3 юридического
654 3 языковых
#Word Types: 2579
#Word Tokens: 11229
#Search Hits: 0
#Word Types: 2541
#Word Tokens: 9467
#Search Hits: 0
1107 личности
145 развития
133 формирования
103 культуры
88 развитие
86 формирование
76 студентов
75 особенности
71 процессе
68 образования
68 студента
65 деятельности
60 фактор
57 воспитания
57 профессиональной
56 условиях
54 роль
52 личность
51 влияние
51 языковой
50 физической
48 социально
43 педагога
41 вуза
40 формировании
38 профессионального
36 проблемы
35 качеств
34 духовно
32 воспитание
32 направленности
32 образовательной
32 проблема
32 становления
31 системе
29 будущего
28 средство
27 вопросу
27 курсантов
27 обучения
27 творческой
26 контексте
25 культура
25 потенциала
25 профессионально
25 психологические
24 основы
24 развитии
24 ребенка
24 саморазвития
24 школьника
23 аспекты
22 психолого
22 среды
21 взаимосвязь
20 вузе
20 образовательных
20 социализации
20 структуре
19 качества
19 обучающихся
19 организации
19 подростков
19 россии
18 безопасности
18 основа
18 педагогические
18 педагогического
18 современного
18 современных
18 учителя
18 языка
17 анализ
17 нравственного
17 технологии
17 учащихся
16 будущих
16 жизни
16 изучения
16 модель
16 поведения
16 подход
16 психологической
16 самореализации
16 становлении
16 школы
15 исследование
15 специалиста
15 спорта
15 сферы
15 условие
14 непрерывного
14 образовании
14 обучающегося
14 педагогической
14 подготовки
14 подхода
14 пространстве
14 современной
14 средствами
13 аспект
13 идентичности
13 конкурентоспособной
13 нравственных
13 подростка
13 поликультурной
13 профессиональное
13 работы
13 становление
13 школе
12 воспитании
12 высшей
12 изучение
12 нравственное
12 педагогов
12 подходы
12 понятия
12 преподавателя
12 системы
12 среде
12 факторы
12 школьников
11 детей
11 иностранного
11 интеллекта
11 исследования
11 компетентность
11 младшего
11 молодежи
11 нравственной
11 образовательном
11 обучении
11 организаций
11 особенностей
11 психологии
11 реализации
11 структуры
11 теоретические
11 характеристика
11 эмоционального
10 деятельность
10 здоровья
10 значение
10 иностранному
10 компетентности
10 компонент
10 мотивации
10 ориентаций
10 педагогическая
10 пространства
10 психологов
10 система
10 юношеском
9 взаимосвязи
9 возможности
9 возрасте
9 вторичной
9 высшего
9 информационная
9 информационной
9 мвд
9 методологические
9 младших
9 образование
9 обществе
9 ориентации
9 педагогических
9 педагогическое
9 потенциал
9 профессиональная
9 психологический
9 психологических
9 психологического
9 самоопределение
9 свойств
9 современном
9 социального
9 социальной
9 способностей
9 сущность
9 творческого
9 уроках
9 устойчивости
9 физического
9 характеристик
9 ценностно
9 ценностные
9 человека
9 этапе
9 языку
8 аспекте
8 безопасность
8 готовности
8 духовной
8 информационно
8 информационного
8 искусства
8 концепции
8 национальной
8 образа
8 опыт
8 основе
8 позиции
8 проблеме
8 профессии
8 процесса
8 психологическая
8 рамках
8 ресурс
8 содержание
8 социальная
8 теоретико
8 условия
8 учебной
8 учителей
8 феномен
8 ценностей
7 военного
7 возможностей
7 врача
7 вузов
7 индивидуально
7 инновационного
7 культурной
7 курсанта
7 направленность
7 нравственно
7 образовательного
7 общества
7 педагогический
7 повышения
7 посредством
7 психолога
7 психологическое
7 пути
7 российской
7 саморазвитие
7 самореализация
7 ситуации
7 сопровождения
7 социальных
7 структура
7 теории
7 технологий
7 толерантности
7 управления
7 уровнем
7 установок
7 характеристики
7 ценностных
7 часть
6 возраста
6 волевых
6 воспитательная
6 выгорания
6 дополнительного
6 духовного
6 жизненного
6 здорового
6 инновационной
6 использование
6 истории
6 качество
6 компетенции
6 методика
6 модели
6 морально
6 музыки
6 обучение
6 общения
6 организация
6 основные
6 перспективы
6 профессиональных
6 проявления
6 роли
6 самостоятельной
6 совершенствования
6 сознания
6 сопровождение
6 социализация
6 спортивной
6 способ
6 среда
6 стратегии
6 творческая
6 условий
6 учащегося
6 физическое
6 языковая
5 активности
5 безопасного
5 благополучия
5 влияния
5 войск
5 гвардии
5 глобализации
5 гражданско
5 деформации
5 здоровье
5 значимых
5 категория
5 коммуникативная
5 коммуникативных
5 медицинского
5 методов
5 методологический
5 механизм
5 механизмы
5 мира
5 моделирования
5 мотивационной
5 оптимизации
5 ответственность
5 педагогики
5 предпосылки
5 развитой
5 рефлексии
5 русского
5 самоактуализации
5 самоопределения
5 свойства
5 семьи
5 сотрудника
5 сотрудников
5 специфика
5 спорте
5 студенческой
5 субъекта
5 сфере
5 теоретический
5 технического
5 технология
5 уровня
5 успешности
5 учебных
5 учетом
5 федерации
5 физическая
5 ценностного
5 цифровом
5 экологическая
5 эпоху
5 эстетического
5 язык
4 адаптации
4 актуальные
4 века
4 внеурочной
4 военнослужащего
4 возможностями
4 выборе
4 гармонизации
4 гармонично
4 гармоничное
4 гуманитарных
4 деформация
4 дисциплин
4 дошкольного
4 духовном
4 духовных
4 занятий
4 занятиях
4 зарубежных
4 идентичность
4 изучении
4 иностранный
4 иноязычной
4 интернет
4 исследованиях
4 классов
4 коллектива
4 коммуникативной
4 компонента
4 компоненты
4 конкурентоспособности
4 креативности
4 критерии
4 культуре
4 культурно
4 курса
4 литературе
4 личностью
4 межкультурной
4 метод
4 мире
4 мировоззрения
4 моделирование
4 молодёжи
4 мотивация
4 музыкального
4 музыканта
4 мышления
4 направления
4 науке
4 научно
4 научного
4 некоторые
4 органов
4 основ
4 ответственности
4 отношения
4 оценки
4 патриотического
4 патриотическое
4 педагогика
4 период
4 подготовка
4 подготовке
4 поддержки
4 подростковом
4 подходов
4 познавательных
4 поликультурного
4 правовой
4 принципы
4 программы
4 проектирование
4 профессиональном
4 профилактики
4 профиля
4 психология
4 работа
4 реализация
4 руководителя
4 самоопределению
4 самооценки
4 смысловых
4 современное
4 современные
4 содержания
4 создания
4 составляющей
4 состояние
4 состояния
4 социокультурном
4 социокультурный
4 специалистов
4 спортивного
4 спортсмена
4 способности
4 старшеклассников
4 творчества
4 творчество
4 темперамента
4 теоретизации
4 теория
4 техническом
4 трансформации
4 университета
4 управление
4 управленческой
4 уровень
4 успешной
4 учебно
4 цикла
4 школьного
4 экологической
4 элемент
4 эмоциональной
4 эффективности
3 аксиологические
3 активной
3 анализа
3 важность
3 виртуальной
3 влияющие
3 военно
3 военных
3 воздействие
3 всестороннего
3 выпускников
3 гармоничного
3 гендерные
3 гражданина
3 девиантного
3 детерминанты
3 детско
3 деятельностный
3 диагностика
3 духовности
3 духовность
3 за
3 заведении
3 залог
3 защиты
3 знаний
3 значимого
3 значимые
3 значимый
3 идеале
3 идентификации
3 идентификация
3 изучению
3 индивидуальность
3 иноязычного
3 института
3 инструмент
3 интеллектуального
3 интеллектуальной
3 интерактивных
3 информационных
3 искусство
3 история
3 итогам
3 китайской
3 коллективе
3 коммуникативного
3 коммуникации
3 компетентностного
3 компонентов
3 конфликтности
3 концепт
3 концепция
3 куратора
3 лет
3 личностно
3 личностного
3 медицинской
3 метакогнитивной
3 мировоззрение
3 мотивационно
3 музыкальная
3 музыкально
3 музыкальной
3 навыков
3 неязыковых
3 нравственном
3 обеспечение
3 обеспечения
3 области
3 образ
3 общении
3 общению
3 общеобразовательной
3 ограниченными
3 определение
3 опыта
3 осмысления
3 основания
3 основных
3 отечественной
3 патриотической
3 педагог
3 педагогически
3 поведение
3 позиция
3 полиции
3 полиязыковой
3 портрет
3 портфолио
3 правовых
3 практика
3 представителей
3 преподавания
3 преподавателей
3 проектной
3 просоциального
3 профессиональному
3 профессиональный
3 проявление
3 психических
3 психического
3 путь
3 развитием
3 результат
3 республики
3 решения
3 родителей
3 руководителей
3 самоорганизации
3 самооценка
3 саморазвитии
3 саморегуляции
3 связи
3 связь
3 сетевой
3 сети
3 системно
3 системный
3 сми
3 современность
3 содействие
3 создание
3 социальное
3 социальный
3 социокультурной
3 средств
3 структурно
3 субъект
3 субъектно
3 субъектной
3 сущности
3 творческое
3 теоретическая
3 типы
3 толерантность
3 трансформация
3 требований
3 тревожности
3 тренинг
3 труда
3 уровни
3 урок
3 устойчивость
3 фактора
3 формированию
3 формирующейся
3 фсин
3 функции
3 химии
3 художественно
3 художественного
3 цифровизации
3 человеку
3 черты
3 экологического
3 экологическое
3 экономических
3 эмоциональный
3 эстетическая
3 эстетической
3 этнической
3 этнокультурных
3 юридического
3 языковых
Введение диссертации (часть автореферата) на тему «Воспитание языковой личности в процессе преподавания лингвистических и речеведческих дисциплин»
АКТУАЛЬНОСТЬ ИССЛЕДОВАНИЯ Обращение к проблеме воспитания языковой личности студентов-словесников обусловлено социальными, психологическими и педагогическими причинами. С социальной точки зрения постановка данной проблемы вызвана демократическим обновлением нашего общества, гуманизацией всей системы обучения. Гуманизация образования и обучения представляет собой ориентацию на создание наиболее благоприятных условий для развития личности обучаемого, его самоопределения, самосовершенствования и самореализации.
Воспитание языковой личности приобретает особое значение в современных условиях, когда наблюдаются тенденции кризиса системы образования, выражающиеся в негативном отношении как к образовательным программам, так и результатам образования. Одним из путей выхода из кризиса является реализация принципов гуманизации системы обучения, что предполагает изменение отношения участника образовательного процесса из пассивного объекта в активного участника образовательной деятельности.
Накопленный опыт и новые социальные условия позволяют более четко определить ориентиры воспитания студентов-словесников как языковой личности.
Проблема, обозначенная в нашем исследовании, рассматривалась в работах Г.И.Богина, Н.Е.Богуславской, Р.А.Будагова, В.Д.Виноградова, Л.С.Выготского, И.Р.Гальперина, В.В.Давыдова, Ю.Н.Караулова, Т.А.Ладыженской И.Б.Тарасовой и других.
В последние годы появились научные труды, в которых разрабатывается такие аспекты проблемы воспитания языковой личности, как модель языковой личности (Г.И.Богин), выделение уровней организации языковой личности (Ю.Н.Караулов), взаимообусловленность культурного состояния современного русского языка и формирования языковой личности (Н.А.Купина), коммуникативно-деягельностная сторона языковой личности (И.В.Сентенберг).
В педагогической науке были разработаны психолого-педагогические концепции: теория деятельностного подхода (А.Н. Леонтьев, О.В.Данилевич и др.), личностный подход в образовании (А.В.11етровский, Л.И.Ьожович, А.Г.Асмолов и др), учет возрастных особенностей в процессе обучения и воспитания (А.С.Ьелкин, Д.Ь.Эльконин, Н.ДЛевитов, А.В.Мудрик и др), положение о гуманизации образования (Ш.А.Амонашвили, А.А.Бодалев, Н.В.Бондаревская, А.В.Сухомлинский).
На современном этапе перед школой встает одна из актуальных задач - задача воспитания языковой личности , что предполагает наличие таких способностей у человека, которые обусловливают уровень владения родным языком.
В психолингвистической литературе языковая личность трактуется как "целостный феномен" (Ю.Н.Караулов), как "многослойный и многокомпонентный набор языковых способностей, умений, готовностей к осуществлению речевых поступков разной степени сложности" (Г.И.Ьогин), как "совокупность способностей человека", взаимосвязанных с уровнем овладения языком (Н.Е.Богуславская). Таким образом, развитая языковая личность - это личность, свободно владеющая большим запасом языковых (лексических и грамматических) средств, правильно и эффективно использующая их в разнообразных видах общения (монолог, диалог и другие формы полилогического общения) с учетом реальной коммуникативной ситуации.
В нашем исследовании воспитание языковой личности студентов-словесников рассматривается на занятиях лингвистического и речеведче-ского циклов факультета русского языка и литературы, результатом которого должно стать формирование личности, способной свободно и правильно говорить, создавать устные и письменные тексты для решения коммуникативных задач, эффективно извлекать информацию из чужой речи, соблюдать этические нормы речевого поведения. Вышеназванные черты языковой личности являются важнейшими компонентами общей культуры человека и особенно значимы для будущих педагогов.
Однако следует отметить, что вопросам воспитания языковой личности в совокупности способностей, обусловливающих уровень культурно-речевых навыков, в научной литературе в целом отводится недостаточное место. Высшая школа не владеет еще в полной мере ни содержательной, ни процессуальной сторонами воспитания языковой личности студентов-словесников. Несмотря на достаточно широкий круг исследований по вопросам воспитания личности студентов-словесников, проблема воспитания языковой личности требует дальнейшей разработки.
Очевидным становится противоречие между потребностью общества в выпускниках высшей школы с высоким уровнем владения языком и недостаточной разработанностью методики и технологии, обеспечивающих эффективность воспитания языковой личности студентов-словесников на занятиях лингвистического и речеведческого циклов.
В теории и практической деятельности обозначилась проблема, требующая научного разрешения и состоящая в необходимости разработки и апробации основных методико-технологических средств, обеспечивающих воспитание языковой личности студентов-словесников.
Разрешение этой проблемы возможно при условии разработки комплекса методико-технологических средств, способствующих достижению высоких результатов в процессе воспитания языковой личности студентов-словесников.
Актуальность исследования, выявленные противоречия и практическая потребность в разработке комплекса методико-технологических средств воспитания языковой личности позволили нам сформулировать тему исследования следующим образом: "ВОСПИТАНИЕ ЯЗЫКОВОЙ
ЛИЧНОСТИ В ПРОЦЕССЕ ПРЕПОДАВАНИЯ ЛИНГВИСТИЧЕСКИХ И РЕЧЕВЕДЧЕСКИХ ДИСЦИПЛИН
В соответствии с темой исследования были определены цель, объект, предмет и задачи.
ЦЕЛЬ ИССЛЕДОВАНИЯ - выявить, теоретически обосновать педагогические возможности комплекса методико-технологических средств в процессе воспитания языковой личности студентов-словесников.
ОБЪЕКТ ИССЛЕДОВАНИЯ - процесс преподавания лингвистических и речеведческих дисциплин.
ПРЕДМЕТ ИССЛЕДОВАНИЯ - воспитание языковой личности студентов-словесников методико-технологическими средствами в процессе преподавания лингвистических и речеведческих дисциплин.
ГИПОТЕЗА ИССЛЕДОВАНИЯ - состоит в том, что применение комплекса методико-технологических средств способствует воспитанию языковой личности студентов-словесников за счет:
- формирования у студентов-словесников субъектного состояния готовности включиться в учебно-воспитательный процесс на уровне индивидуальных познавательных возможностей;
- применения комплекса методико-технологических средств воспитания языковой личности студентов-словесников на каждом этапе учебной деятельности (стимулирующе-мотивационном, операционно-деятельностном и оценочно-результативном), что является условием позитивной динамики в процессе развития языковой личности студентов-словесников.
В соответствии с целью, предметом и гипотезой исследования были поставлены следующие ЗАДАЧИ:
1. На основе историко-логического анализа лингвистической и психолого-педагогической литературы определить сущность и структуру языковой личности студентов-словесников; выявить показатели и уровни развития языковой личности студентов-словесников.
2. Сформировать у студентов-словесников субъектное состояние готовности включиться в процесс формирования языковой личности на уровне индивидуальных познавательных возможностей.
3. Определить и обосновать содержание комплекса методико-технологических средств воспитания языковой личности студентов-словесников на занятиях лингвистического и речеведческого циклов факультета русского языка и литературы педагогического вуза.
4. Экспериментально проверить педагогические возможности методико-технологического комплекса в процессе воспитания языковой личности студентов-словесников.
МЕТОДОЛОГИЧЕСКОЙ ОСНОВОЙ ИССЛЕДОВАНИЯ явились классические и новейшие положения и выводы философии образования (теория воспитания личности), психологии и педагогики о социальной детерминированности процессов воспитания личности, учение о личности как субъекте общественных отношений, своеобразии личности как общественной ценности, диалектические положения о единстве общего, особенного и единичного.
ТЕОРЕТИЧЕСКУЮ ОСНОВУ ИССЛЕДОВАНИЯ составили теория развития личности (Л.И.Божович, Л.С.Выготский, В.В.Давыдов, А.Н.Леонтьев и др); теория возрастной педагогики (В.С.Безрукова, А.С.Белкин и др); теория деятельностного подхода в формировании личности (М.Я.Басов, А.НЛеонтьев, С.Л.Рубинштейн, Г.И.Щукина и др.); концепция личностного подхода в образовании (К.А.Абульханова, А.С.Белкин, А.В.Мудрик и др); о гуманизации учебно-воспитательного процесса (В.И.Загвязинский, А.А.Маркова, В.А.Сухомлинский ,К.Д.Ушинский и др)
Для проверки гипотезы исследования и решения поставленных задач использовались следующие МЕТОДЫ ИССЛЕДОВАНИЯ:
- теоретические: историко-логический анализ философской, психолого-педагогической, лингвистической литературы, системный подход;
- эмпирические: педагогический эксперимент, включающий прямое и косвенное наблюдение; анкетирование, тестирование; анализ продуктов деятельности; количественный и качественный анализ полученной информации; создание особых педагогических ситуаций; графическая и математическая обработка результатов исследования.
ОСНОВНЫЕ ЭТАПЫ ИССЛЕДОВАНИЯ.
Первый этап (1990 - 1993гг.) - изучение и анализ философской, психолого-педагогической, научно-методической и учебной литературы по проблеме исследования; определение методологической и теоретической базы исследования; изучение опыта работы педагогов со студентами факультета русского языка и литературы; определение цели, гипотезы и задач исследования.
Второй этап ( 1994 - 1997гг.) - проведение педагогического эксперимента с целью проверки гипотезы исследования, разработка системы методико-технологических средств, применяемых на занятиях лингвистических и речеведческих дисциплин факультета русского языка и литературы; определение педагогических возможностей разработанного комплекса в процессе воспитания языковой личности студентов-словесников.
Третий этап (1998-1999) - теоретическая и статистическая обработка результатов опытно-экспериментальной работы; осмысление и систематизация полученных результатов; формулировка выводов и рекомендаций.
БАЗОЙ ИССЛЕДОВАНИЯ явились факультет русского языка и литературы Уральского государственного педагогического университета, средние общеобразовательные школы г.Екатеринбурга (№№ 11, 178, 67), школа-гимназия №99 (г.Екатеринбург), школа-лицей №40 (г.Екатеринбург).
НАУЧНАЯ НОВИЗНА ИССЛЕДОВАНИЯ:
1. Определены структура и содержание языковой личности студентов-словесников. Разработаны показатели и определены уровни ее развития (недостаточный, достаточный и высокий).
2. Создан и апробирован комплекс методико-технологических средств воспитания языковой личности студентов-словесников на занятиях лингвистического и речеведческого циклов факультета русского языка и литературы, к которым относятся: а) методы и приемы воспроизведения и осмысления лингвистического и речеведческого материала: объяснение, рассуждение, рефлексия, пример; б) методы организации деятельности: упражнения, создание педагогических ситуаций, инструктаж, педагогическое требование, создание проблемных ситуаций, анализ ситуаций, деловая игра, интерактивное обучение; в) методы стимулирования деятельности студентов-словесников: поощрение и наказание, создание ситуаций успеха, опора на положительное в человеке, выделение положительного в деятельности, соревнование; г) методы контроля, самоконтроля и самооценки деятельности и поведения: самоконтроль и контроль, оценка и самооценка, рецензирование и редактирование, проверка и оценивание адекватности воспроизведения предложенного текста, анализ созданных речевых произведений (речевого идеала).
ТЕОРЕТИЧЕСКАЯ ЗНАЧИМОСТЬ ИССЛЕДОВАНИЯ состоит в том, что определены понятие языковой личности студентов-словесников, ее структура и содержание, а также выявлены педагогические возможности комплекса методико-технологических средств воспитания языковой личности студентов-словесников.
На основе анализа философских, лингвистических, психолингвистических, педагогических теорий осуществлена попытка рассмотрения языковой личности как феномена культуры.
ПРАКТИЧЕСКАЯ ЗНАЧИМОСТЬ ИССЛЕДОВАНИЯ связана с разработкой комплекса методико-технологических средств воспитания языковой личности студентов-словесников на занятиях лингвистического и речеведческого циклов факультета русского языка и литературы и их широким применением. Результаты исследования, разработанная технология воспитания языковой личности могут быть использованы в процессе преподавания русского языка в общеобразовательной школе, в классах с углубленным изучением русского языка, в высших учебных заведениях при подготовке и чтении спецкурсов, спецсеминаров, при подготовке лекций и практических занятий, при написании курсовых и дипломных работ. Повышение профессиональной подготовки студентов-словесников^обеспе-чить профессионально-методическую перспективу совершенствования его как языковой личности, стимулирует творческую и педагогическую деятельность, приобщает к научно-исследовательской деятельности по данному кругу проблем.
АПРОБАЦИЯ И ВНЕДРЕНИЕ РЕЗУЛЬТАТОВ ИССЛЕДОВАНИЯ. Результаты исследования, отдельные теоретические и методические положения данного исследования были обсуждены и одобрены на Всесоюзной научно-методической конференции 17-19 октября 1990г. (г.Фрунзе), на лингвистических чтениях 3-5 февраля 1992 г.Екатеринбург), на научно-практической конференции 28-29 марта 1994г. (г.Екатеринбург), на международном симпозиуме 25-27 ноября 1996г. (г.Екатеринбург), на научно-практических конференциях в марте 1996г., 1997г., 1998г., 1999г. (г.Екатеринбург).Основные положения исследования обсуждались на заседании кафедры языкознания и методики преподавания русского языка и отражены в публикациях автора. Апробация и внедрение идей и результатов исследования осуществлялись в процессе обучения студентов факультета русского языка и литературы Уральского государственного педагогического университета, в школах г.Екатеринбурга, где студенты этого факультета проходили педагогическую практику.
ДОСТОВЕРНОСТЬ РЕЗУЛЬТАТОВ исследования обеспечивалась применением теоретических и практических методов с опорой на философские и психолого-педагогические концепции, длительностью экспериментальной работы, повторяемостью, воспроизводимостью результатов, использованием комплекса методов и приемов, соответствующих предмету, целям и задачам исследования, репрезентативностью экспериментальных данных, использованием методов математической и статистической обработки полученных данных, личным участием автора в экспериментальной работе.
НА ЗАЩИТУ ВЫНОСЯТСЯ следующие положения
1. Языковая личность студентов-словесников характеризуется как совокупность способностей и качественных характеристик человека, которые обусловливают создание и восприятие речевых произведений, а в целом - уровень владения языком. К числу таких способностей мы относим осознание языка как феномена культуры, способность к анализу чужой и собственной речи, совершенствование собственных коммуникативных умений, умение анализировать свой коммуникативный опыт, умение корректировать собственную речевую практику, осознание необходимости расширения собственного языкового пространства.
2. Воспитание языковой личности студентов-словесников возможно при условии обеспечения системного использования предлагаемого комплекса методико-технологических средств на каждом этапе учебной деятельности (стимулирующе-мотивационном, операционно-деятельностном и оценочно-результативном).
СТРУКТУРА И ОБЪЕМ ДИССЕРТАЦИИ. Диссертация состоит из введения, двух глав, заключения, библиографического списка и приложений.
[ext[ссылка|https://iuorao.ru/category/man_and_education/]]
Публикации, как правило, осуществляются на возмездной основе из расчета 700 руб. за каждую авторскую страницу плюс 2000 руб. за статью в целом. Авторская страница принимается равной 1850 печ. зн., включая пробелы. В оплачиваемый объем входит текст статьи, аннотация на русском языке и список литературы. Рисунки и таблицы оплачиваются по занимаемому ими месту на странице в пересчете на объем текста
[ext[ссылка|https://humancapital.su/]]
Стоимость размещения статьи в открытом доступе и наукоемких базах данных составляет 7500 руб. независимо от объема статьи.
Срочное размещение статьи (при поступлении статьи до 10 числа текущего месяца) +20% к заявленной выше стоимости.
[ext[ссылка|http://vestnik.pstu.ru/pedag/toauthors/requirements/]]
---
!Статья ''Языковая личность в педагогических диссертациях (высшая школа).'' ???
|![[Введение |Введение 1]] |[[Введение А]] |3041 | | [[Введение А 1 1]] |! [[Введение А 1 1 1]] |
|![[Общая педагогика, история педагогики и образования |Общая педагогика, история педагогики и образования 1 1]] |[[13.00.01 А]] |6655 | [[13.00.01 А 1]] | [[13.00.01 А 1 1]] |! [[13.00.01 А 1 1 1]] |
|![[Теория и методика обучения и воспитания|Теория и методика обучения и воспитания 1 2]] | [[13.00.02 А]] |9119 | [[13.00.02 А 1]] | [[13.00.02 А 1 1]] |! [[13.00.02 А 1 1 1]] |
|![[Теория и методика профессионального образования |Теория и методика профессионального образования 1 1]] |[[13.00.08 А]] |6558 | [[13.00.08 А 1]] | [[13.00.08 А 1 1]] |! [[13.00.08 А 1 1 1]] |
|[[Заключение|ЗаключениестатьиДидактика 1]] |[[Заключение А]] |3707 | | |! [[Заключение А 1]] |
| | |29080 | | | 12991 |
<center> [[Список литературы (Клон 2)|Список литературыСтатья.Дидактика 2]] ** [[Клон 3|Список литературыСтатья.Дидактика 2 1]]</center>
[[Статья.Дидактика 1]]
|Модуль поиска | Заимствования | Самоцитирования | Цитирования | Оригинальность |
|Модуль поиска Интернет | 5.27% | 0% | 0% | 94.73% |
Начало загрузки:10.05.2020 19:07:48
Длительность загрузки:00:00:01
Символов в тексте:12991
Слов в тексте:1540
Число предложений:225
Размер текста:1 кБ
Метрика
Доля научной лексики:94.53%
Доля общей лексики:5.47%
Наличие аннотации:нет
Наличие библиографии:нет
Наличие выводов из исследования:нет
Наличие введения:нет
Наличие описания метода исследования:нет
Наличие описания результатов исследования:да
Оценка связности текста:88.10%
[ext[ссылка|http://www.rusnauka.com/28_PRNT_2011/Philologia/3_94507.doc.htm]]
[[Термины]]
| [[Ша]] | [[Ше]] | [[Шк]] | [[Шт]] |
[ext[ссылка НЭБ|https://rusneb.ru./catalog/000200_000018_RU_NLR_bibl_1010224/viewer/]]*[ext[ссылка new-disser|https://new-disser.ru/_avtoreferats/01002882758.pdf]]
[[shgs_ar]]
[ext[ссылка ВАК|https://vak.minobrnauki.gov.ru/az/server/php/filer_new.php?table=att_case&fld=autoref&key[]=161961&version=100]]
Шелов С. Д.
Очерк теории терминологии: состав, понятийная организация, практические приложения. — М.: ПринтПро, 2018. — 472 с.
ISBN [ext[978-5-86676-107-6|file:///D:/BI/978-5-86676-107-6.pdf]]
[ext[ссылка Intrnet|http://term-in.net/upload/iblock/6e3/original-maket-izdaniya-.pdf]]
Шилова О.Н. Теоретические основы становления информационно-педагогического тезауруса студентов в системе высшего педагогического образования
[ext[ссылка|https://viewer.rusneb.ru/ru/000199_000009_002285503?page=1&rotate=0&theme=white]]
[[dis_shon]]
[ext[ссылка в E/Dis|file:///E:/Dis/Dis17]]
Теоретические основы становления информационно-педагогического тезауруса студентов в системе высшего педагогического образования
[ext[ссылка автореферат|https://new-disser.ru/product_info.php?products_id=846903]]
Диссертация НЭБ [ext[ссылка|https://viewer.rusneb.ru/ru/000199_000009_002285503?page=1&rotate=0&theme=white]]
Шишкин Сергей Алекс ?
* Опыты с тиддлерами ЛЖЖ [ext[ссылка |https://retrospect-xix.livejournal.com/115273.html]]
* GitHub [ext[ссылка|https://github.com/Serj-Aleks]]
[ext[ссылка|https://schoolfut.ru/]]
Тематика журнала
«Школа Будущего» – научно-методический журнал, освещающий проблемы и перспективы развития современной российской школы. Публикует научные статьи и практические материалы по следующим направлениям:
государственная политика в области образования;
основные направления развития российской школы;
теоретические вопросы педагогики и психологии;
вопросы теории и методики обучения и воспитания по различным дисциплинам, входящим в учебные планы для учреждений среднего образования;
инновационные педагогические технологии;
новые информационные технологии в образовании;
подготовка педагогических кадров;
культурологический аспект в образовании.
Журнал Школа Будущего Журнал широко пропагандирует внедрение в педагогическую практику результатов научных исследований, представленных в публикуемых статьях. Издание зарегистрировано в Федеральной службе по надзору за соблюдением законодательства в сфере массовых коммуникаций и охране культурного наследия. Свидетельство о регистрации ПИ №ФС77-23949 от 06 апреля 2006 года. ISSN 1996-4552. Е-mail: info@schoolfut.ru
«Современная образовательная среда»
[[Термины]]
| [[Эв]] | [[Эк]] | [[Эл]] | [[Эм]] | [[Эн]] | [[Эп]] | [[Эр]] | [[Эс]] | [[Эт]] | [[Эф]] |
[ext[ссылка|https://cegr.ru/]]
По ссылке
Стоимость публикации: 500 руб. за страницу,рассылка сборника – 250 руб.
Основанием для принятия статьи на рецензирование является следующее:
1. выполнение требований к публикуемым материалам;
2. предоставление рецензии на статью доктора наук по профилю исследования;
3. подписание договора о передаче прав на опубликование статьи ;
4. подписание разрешения на опубликование индивидуальных сведений об авторе (авторах) статьи .
5. предоставление Сведений об авторе( авторах)
*[ext[БУЛЫГИНА |file:///D:/BI/a_buligina_ev.pdf]]
! Портал научных журналов Российского университета дружбы народов
[ext[ссылка на портал|http://journals.rudn.ru/index]]
Журналы РУДН в Перечне ВАК
Посмотреть, в каком журнале РУДН, включенном в Перечень ВАК, публикуются статьи по тематике, соответствующей научным специальностям по номенклатуре ВАК, можно по [ext[ссылке|http://journals.rudn.ru/files/journals/28//%D0%96%D1%83%D1%80%D0%BD%D0%B0%D0%BB%D1%8B%D0%A0%D0%A3%D0%94%D0%9D%D0%BF%D0%BE%D1%81%D0%BF%D0%B5%D1%86%D0%92%D0%90%D0%9A07.10.2019.pdf]]
Например по педагогическим наукам
Полингвиальность и транскультурные практики (до No 2 2018 -Вестник Российского университета дружбы народов. Серия: Вопросы образования: языки и специальность).13.00.08–Теория и методика профессионального образования.С 2018 г. статьи по этой тематике не принимаются.Вестник Российского университета дружбы народов.Серия: Информатизация образования13.00.01–Общая педагогика, история педагогики и образования 13.00.02–Теория и методика обучения и воспитания (по областям и уровням образования), 13.00.08–Теория и методика профессионального образования.
[[Структура статей из РУДН]]
[[Термины]]
| [[Юв]] | [[Юз]] | [[Юн]] | [[Юр]] | [[Юс]] |
[[Юрьева А.В.]]
*[ext[ссылка|https://viewer.rusneb.ru/ru/000199_000009_002294943?page=1&rotate=0&theme=white]]
[[yuav_ar 1]]
*[ext[ссылка в Dis4|file:///E:/Dis/Dis4]]
ЛИНГВОРИТОРИЧЕСКИЙ ИДЕАЛ КАК ФАКТОР СТАНОВЛЕНИЯ ПРОФЕССИОНАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ БУДУЩЕГО УЧИТЕЛЯ Юрьева Анна Валентиновна диссертация на соискание ученой степени кандидата педагогических наук / Сочи, 2002 13.00.08
[[ЯЛ13.00.08]]
Юрьева А.В. [[Лингвориторический идеал как фактор становления профессиональной языковой личности будущего учителя]]: автореф. дис. … канд. пед. наук. – Сочи, 2002. – 22 с.
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=1022408]]
автореферат в вивальди
[ext[ссылка|https://vivaldi.nlr.ru/bd000145894/view/?#page=1]] физ 24 с. по карточке 22 с.
* [ext[ссылка aD|https://yadi.sk/i/xK2ocPtD8hfNtA]]
* [ext[ссылка aD odt|https://yadi.sk/i/G09VYJG6WtAR1A]]
* [ext[ссылка в библиотеку|file:///D:/BI/a_yurieva_av.pdf]]
[[Содержание диссертации|Содержание yuav]]
Юшкова Н. А.
РАЗВИТИЕ ПРОФЕССИОНАЛЬНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ СТУДЕНТОВ В ПРОЦЕССЕ ВУЗОВСКОГО ОБУЧЕНИЯ
(по итогам проведения Международной научно-методической конференции)
[ext[ссылка|http://elar.uspu.ru/bitstream/uspu/12819/1/fkls-2019-03-24.pdf]]
[[Термины]]
| [[Яд]] | [[Яз]] | [[Я -]] | [[Яр]] | [[Яс]] |
{{Яд}}
{{Яз}}
{{Я -}}
{{Яр}}
{{Яс}}
* [[Язык науки]]
* [[Язык - посредник]]
* [[Язык обучения]]
* [[Язык специальности]]
* [[Язык электронных средств коммуникации]]
* [[Языковая догадка]]
* [[Языковая картина мира]]
* [[Языковая компетенция]]
* [[Языковая личность]]
* [[Языковая модель]]
* [[Языковая наглядность]]
* [[Языковая система]]
* [[Языковая способность]]
* [[Языковая среда]]
* Калинин С.С.Лингвокультурный трансфер как форма передачи информации (на материале германских языков и контактных идиомов) 10.02.19 – теория языка [ext[ссылка в библиотеку|file:///D:/BI/dis_kalinin_ss.pdf]]
[ext[ссылка|http://journals.tsu.ru/language/]]
''по ссылке'' Бесплатно
Все статьи, поступающие в редакцию журнала, подлежат обязательному рецензированию. В настоящее время публикации в журнале осуществляются на некоммерческой основе. Ознакомиться с требованиями к оформлению материалов можно в разделе "Правила оформления".
[[Термины]] [[Я]]
ЯЗЫК НАУКИ. Язык научного изложения в условиях естественного применения в научной сфере общения.
[[Азимов Э. Г., Щукин А. Н. Новый словарь методических терминов и понятий]]
[[Python]]
[[Javascripthon]]
[[Skulpt]]
[[Brython]]
[ext[ссылка в библиотеку|file:///D:/BI/978-5-317-05609-4.pdf]]
БеляевскаяЕ.Г. Теория языковой личности и когнитивная лингвистика .............. 34
ВаулинаЕ.Ю. Принципы иллюстрирования и функции иллюстративного материала в «Современном толковом словаре живого русского языка»..............47
ВладимироваТ.Е. Русская языковая личность: экзистенциально-онтологическое измерение..............66
ГолевН.Д., ШкуропацкаяМ.Г. Ассоциативное измерение системных отношений в лексике: некоторые результаты и перспективы .............. 82
[[Термины]] [[Я]]
ЯЗЫКОВАЯ КАРТИНА МИРА. Совокупность знаний об окружающем человека мире, запечатленных в языковой форме. Отраженные в языке представления данного языкового коллектива о строении, элементах и процессах действительности. Картина мира как центральное понятие концепции человека, выражающее специфику его бытия, представляет собой целостный глобальный образ мира, который является результатом всей духовной жизни человека. Отражение же этого мира в единицах языка и текстах, создаваемых с помощью средств языка, и образует Я. к. м.
[[Азимов Э. Г., Щукин А. Н. Новый словарь методических терминов и понятий]]
[[Термины]] [[Я]]
ЯЗЫКОВАЯ ЛИЧНОСТЬ. Любой носитель того или иного языка, охарактеризованный на основе анализа произведенных им текстов с точки зрения использования средств данного языка для отражения окружающей действительности (картины мира). Термин Я. л. впервые был использован в 1930 г. В. В. Виноградовым в книге «О художественной прозе» и вошел в научный оборот в конце 80-х гг. Xx в. После публикации книги Ю. Н. Караулова «Русский язык и языковая личность» (1987). Структура Я. л. складывается из трех уровней: 1) вербально-семантического, дающего представление о владении Я. л. системой языка; 2) когнитивного (понятия, идеи, представления, складывающиеся в картину мира); 3) прагматического (включает цели, мотивы, интересы, оценки, проявляющиеся в речевой деятельности). Из традиционных обозначений термину Я. л. близок термин «Язык писателя». Опыт описания Я. л. содержится, например, в работах В. В. Виноградова о языке Н. В. Гоголя и Ф. М. Достоевского, в книге «Язык и личность» под ред. Д. Н. Шмелева (раздел «Опыт описания языковой личности. А. А. Реформатский») и др. А также в словарях языка писателей. С лингводидактической точки зрения система обучения родному языку должна быть направлена на формирование Я. л., ф неродному (иностранному) языку – вторичной языковой личности, что рассматривается в качестве стратегической цели обучения.
[[Азимов Э. Г., Щукин А. Н. Новый словарь методических терминов и понятий]]
Иванцова
[ext[ссылка интернет|https://cyberleninka.ru/article/n/o-termine-yazykovaya-lichnost-istoki-problemy-perspektivy-ispolzovaniya]]
Напреенко Галина Викторовна
!! Лексико-квантитативное моделирование языковой личности в идентификационном аспекте (на материале русскоязычных интернет-дневников)
[ext[ссылка интернет| https://vak.minobrnauki.gov.ru/advert/208559]] Объявление на сайте ВАК
[ext[ссылка авторреферат| https://vak.minobrnauki.gov.ru/az/server/php/filer_new.php?table=att_case&fld=autoref&key[]=208559&version=100]]
[ext[ссылка диссертация| http://d01.kemsu.ru/Content/AdvertAttachedFiles/7918a61a79c34f09.pdf]]
Под языковой личностью в работе понимается «совокупность способностей человека, обусловливающих создание и восприятие им речевых произведений (текстов), которые различаются по степени сложности, глубины и точности отражения действительности, целевой направленности» [Караулов 1989: 7]. Таким образом, языковая личность в данном исследовании трактуется как носитель языковой способности определенного качества. Мы исходим из предположения о том, качество языковой способности находит проявления в лексико-квантитативных характеристиках текстов, порождаемых ее носителем.
Они носят в тексте системный характер, обусловленный устойчивостью качества языковой способности автора текста (онтологический аспект исследования), которое может быть реконструировано по его «выходу» в речевой материал (гносеологический аспект исследования).
!Башкова Ирина Венадьевна
[ext[ссылка автореферат|https://research.sfu-kras.ru/sites/research.sfu-kras.ru/files/Avtoreferat_Bashkova.pdf]]
[ext[ссылка диссертация|http://research.sfu-kras.ru/sites/research.sfu-kras.ru/files/Dissertaciya_Bashkova.pdf]]
Богин Г.И. Модель языковой личности в ее отношении к разновидностям текстов. - Л., 1984.
[ext[ссылка|https://studfile.net/preview/3299583/]]
[ext[ссылка doc|https://yadi.sk/i/OxOQbgbs38azWA]]
Георгий Исаевич
БОГИН
МОДЕЛЬ ЯЗЫКОВОЙ ЛИЧНОСТИ В ЕЕ ОТНОШЕНИИ К РАЗНОВИДНОСТЯМ ТЕКСТОВ
Автореферат
диссертации на соискание ученой степени доктора филологических наук
Ленинград - 1984
1В реферируемой диссертации разрабатывается один из возможных подходов в исследованиях речевой деятельности.
Ф. де Соссюр был первым, кто разъяснил общий источник несовпадения подходов к понятию и термину “язык”: “Конечный закон языка (langage) - это то, что в нем нет ничего, что могло бы вместиться в одно определение”. Очевидно, из речевой деятельности как объекта изучения лингвист может выделить разные предметы исследования в соответствии с теми задачами, которые он собирается решать.
В реферируемой диссертации язык как предмет исследования берется не в абстракции от развивающегося человека, а как сторона человеческой личности, хотя при этом изучаемый объект - речевая деятельность, язык-речь - остается тем же, с которым имеет дело исследователь собственно системы языка. Центральное понятие работы - языковая личность, т.е. человек, рассматриваемый с точки зрения его готовности производить речевые поступки, создавать и принимать произведения речи.
Частные готовности языковой личности могут быть упорядоченно описаны в виде структурной модели. Сходство и различие частных готовностей языковой личности предметно представлено в сходстве и различии речевых произведений (текстов), включаемых в деятельность языковой личности в соответствии с мерой развитости языковой личности. Структурное представление языковой личности включает упорядоченный перечень уровней развитости языковой личности, равно как и перечень компонентов, из которых слагаются эти уровни. Если языковая личность в развитии своих готовностей достигла некоторого уровня и на этом уровне овладела некоторым компонентом, то тем самым языковая личность достигла готовности к действованию с текстами, соответствующими этому уровню и этому компоненту. Поэтому структурная модель языковой личности представляет не только систематику частных готовностей к актам речевой деятельности, но также (и тем самым) - и одну из возможных систематик текстов, а именно ту систематику, которая построена по критерию соответствия характеристик текста мере развитости языковой личности, т.е. мере готовности языковой личности социально-адекватно производить или принимать тексты с соответствующими лингвистическими характеристиками.
Актуальность разработки модели языковой личности в ее отношении к разновидностям текстов обусловлена тем обстоятельством, что рационально построенная модель поддается эмпирическим интерпретациям, соответствующим тем видам деятельности, для 2которых существенны готовности языковой личности (понимание текстов, обучение языкам, речевое воздействие, эстетическая и риторическая критика текстов и др.). Такие эмпирические интерпретации модели способствуют решению ряда практических задач развития человеческой личности и улучшения человеческих деятельностей, по отношению к которым языковая личность и речевая деятельность выступают в качестве одной из частных, но при этом необходимых граней. Действительно, человек обладает родовой способностью быть языковой личностью, но каждый индивид еще должен стать ею. Это становление есть индивидуальное приобретение родового свойства, приобретение необходимого “общественного органа” (К. Маркс), компонента необходимой матрицы деятельности. Социальный смысл этой задачи был впервые прояснен основоположниками марксизма, у которых интересующая нас сторона личности - язык как человеческая способность - получила оценку как “продукт рода”, который люди “раньше или позже... возьмут под свой контроль” наряду с другими продуктами человеческой исторической практики [К. Маркс и Ф. Энгельс. Сочинения, изд. 2, т. 3, с. 427].
Хотя представлением о языковой личности имплицитно оперировали уже Г. Штейнталь, В. Вундт и А.А. Шахматов, соответствующие понятие и термин были впервые введены в лингвистику В.В. Виноградовым [“О художественной прозе”, 1930]. По В.В. Виноградову, языковая личность может трактоваться как “коллективная языковая личность” и как “индивидуальная языковая личность”. Последней свойственно “личностное говорение”, отличающееся от коллективного, социально распространенного, но не порывающее с ним. При сильном развитии “индивидуальной языковой личности” “социальное ищется в личностном через раскрытие всех структурных оболочек языковой личности” [там же, с. 62]. В.В. Виноградов тонко подметил, что изучение восходящего развития языковой личности выведет исследователя к языку художественной литературы: самое бытие поэтики и ее предмета зависимо, в конечном счете, от меры развития “коллективной языковой личности”. Ведь, например, “для того чтобы ощутить индивидуальное и творческое в словоупотреблении поэта, надо владеть общими с ним лексемами литературной речи” [там же, с. 66]. Аналогичным образом В.В. Виноградов связывает с разработкой проблемы языковой личности и риторику [там же, с. 110].
Кроме В.В. Виноградова, реферируемая диссертация не имеет прямых предшественников, которые широко разрабатывали бы концепцию языковой личности, хотя эта концепция буквально “подсказывается” 3множеством авторов, писавших на другие языковедческие темы.
Новым в разработке концепции языковой личности является то, что в диссертации делается попытка представить в единой параметрической модели все вообще готовности человека к производству речевых поступков. Цель этого моделирования - исследовать, какова структура языковой личности. Весьма существенно также, каковы уровни и компоненты этой структуры; каковы отношения, зависимости и функции этих уровней и компонентов; каков их генезис. Практическая же цель заключается в том, чтобы выяснить, в какой мере путь образования и способ существования структуры языковой личности могут быть усовершенствованы в заданных условиях или воспроизведены в других условиях. Эти условия определяются в зависимости от того, для какой именно деятельности производится эмпирическая интерпретация модели. Поэтому модель языковой личности первоначально должна абстрагироваться не только от индивидуальных различий людей, но и от различия известных им языков, она должна обладать высокой мерой упрощения и инвариантности. Одновременно она не должна содержать ничего такого, что не имело бы экспериментального смысла и не соответствовало бы опыту: лишь при этом условии модель, формализующая процессы использования языка человеком, будет поддаваться последующим эмпирическим интерпретациям.
Научное значение данного исследования заключается в разработке структурной модели языковой личности и в разработке оснований эмпирической интерпретации предложенной модели. На защиту выносятся:
Структурная модель языковой личности, предложенная в реферируемой диссертации.
Основания эмпирической интерпретации модели для деятельности понимания текстов.
Основания эмпирической интерпретации модели для деятельности обучения языкам.
Положение о возможности эмпирических интерпретаций модели для других видов деятельности, сопряженных с речевой деятельностью.
Предложенная в диссертации концепция апробирована в ходе чтения лекций студентам Калининского университета и слушателям факультета повышения квалификации (преподавателям иностранных языков), а также в форме докладов и обсуждений в научно-методическом совете по иностранным языкам Минвуза СССР, на республиканских и зо4нальных конференциях, в Институте русского языка АН СССР, в Институте языкознания АН СССР, на кафедре общего и сравнительно-исторического языкознания МГУ. Основные положения диссертации нашли отражение в пяти книгах и ряде статей. Выдвигаемая в диссертации концепция развивается также по линии студенческого научного общества, научно-исследовательской и учебно-исследовательской работы студентов.
Диссертация состоит из введения, восьми глав (они объединены в три раздела), заключения и списка использованной литературы.
Первый раздел диссертации - “Концепция и модель языковой личности”.
При построении модели языковой личности соблюдается ряд условий. Важнейшее из них - трактовка языковой личности в качестве структуры, а языка - в качестве субстрата этой структуры, т.е. в качестве предметного основания единства структуры языковой личности. С этой точки зрения, моделирование языковой личности принципиально отличается от модельного представления языка как системного образования, поскольку в последнем случае языковая личность выступает лишь в качестве субстрата. В силу только что сказанного, уровни модели языковой личности не совпадают с уровнями моделей языка. Вместе с тем, компоненты языковой личности не могут быть выделены без учета таксономии языковой системы - по крайней мере, без учета таких крупных ее подразделений, как фонетика, лексика и грамматика. Однако очень существенны все же именно отличия модели языковой личности от моделей языка:
Суждения о функциях тех или иных компонентов структуры языковой личности имеют оценочный характер, сохраняя при этом объективность, что совершенно невозможно при анализе структуры языка.
При рассмотрении языковой личности как структуры необходимы понятия, во многих случаях нерелевантные для рассмотрения структуры языка.
Факторы, существенные как для языка, так и для языковой личности, и фиксируемые при этом в совпадающих понятиях и терминах, находятся в структуре языковой личности не в тех взаимоотношениях, в каких они находятся в структуре языка. В частности, во многих случаях те содержания, которые в структуре языка могут быть рассмотрены лишь дифференциально, выступают в структуре языковой личности как сходные реальности, функциональное рассмотрение которых необходимо оказывается совокупным или параллельным. Например, с точки зрения системы языка, подсистема художественной речи и под5система разговорной речи противопоставлены. С точки зрения структуры языковой личности, напротив, подсистема разговорной речи и подсистема художественной речи сближены по общему признаку - по признаку равноудаленности от условно-конструируемой (в некоторых случаях, впрочем, реально существующей) речи, лишенной всякой “стилистической прибавки” и пользующейся только средствами прямой номинации. Поэтому обе упомянутые подсистемы оказываются в структуре языковой личности коррелятивными с одним и тем же уровнем структуры. Множество подобных примеров - предупреждение против не изжитых еще случаев произвольного смешения суждений о языке и суждений о языковой личности.
Что касается упомянутых здесь оценочных суждений о деятельности языковой личности, то они использованы в реферируемой диссертации при определении факторов (множителей) одного из параметров, образующих структурную модель языковой личности. В частности, эти суждения использованы при построении шкалы уровней развития языковой личности.
Человек как языковая личность постоянно оценивается наблюдающими его людьми. Речь одного индивида релевантна для другого индивида, и, соответственно, каждый другой индивид выступает в функции “оценщика”, т.е. говорит, думает или чувствует, что в чьей-то речевой деятельности что-то хорошо и что-то плохо. Обоснованные суждения о языковой личности, имеющие оценочный характер, доступны отнюдь не только лингвистам. Поскольку оценками такого рода занимаются все вообще люди, то создается своеобразное положение: “оценщик” совокупно выступает и как субъект оценок и как их объект, т.е. как наблюдатель и как наблюдаемый. Исследователь этих оценок выступает как наблюдатель наблюдателя. Такой подход необходим потому, что языковую личность, т.е. одну из граней всей человеческой личности, затруднительно наблюдать непосредственно. Здесь мы имеем дело с таким объектом, который можно наблюдать, лишь заставляя его взаимодействовать с чем-нибудь внешним по отношению к нему. Этим внешним оказывается социальная среда. Именно социальная среда рассматривает человеческие готовности к деятельности как некоторую ценность, т.е. приписывает им роль в жизни общества, а отсюда - и индивида, тем самым давая индивиду стимул для развития его способностей, его готовностей.
“Оценочное чувство... у нормального члена общества социально обосновано, являясь функцией языковой системы (величина социальная)” (Л.В. Щерба). Однако все оценочные суждения несут информацию 6о речевом поступке в целом, в то время как весь опыт наблюдений над деятельностью языковой личности приводит к постулату о многоуровневости и многокомпонентности ее структуры.
“Оценщик” большей частью не ставит перед собой задачи определить, какой конкретно уровень или компонент языковой личности выступает в его суждении, но исследователь, оценок должен это знать. Для того, чтобы оценочные суждения, постоянно высказываемые бесчисленным множеством людей о речевых поступках других людей, можно было принять за основу при определении уровней развития языковой личности, в диссертации использованы некоторые логические операции в отношении накопленного материала оценочных суждений. Цель логической работы исследователя - в усмотрении однородности проявления тех или иных предполагаемых уровней и компонентов в оцениваемых речевых поступках.
Оценочные суждения бывают индивидуально-вкусовыми (связанными с индивидуальными идиосинкразиями, что, в целом, довольно редко) и общественно-вкусовыми. Для нас важны именно последние, поскольку они отвечают следующему набору требований: они
выступают массовидно;
приобретают логическую форму суждений действительности;
могут приобретать логическую форму суждений отношения;
соотносимы с социально релевантным “суждением идеала”;
относятся к сравнительно ограниченной области достижений или недостатков речевой деятельности.
Опираясь при структуировании языковой личности на оценочные суждения множества людей, исследователь должен:
отделять оценочные суждения о субстрате языковой личности (точнее - о компонентах этого субстрата, т.е. языка) от оценочных суждений, относящихся к компонентам структуры языковой личности;
сопоставлять разные суждения разных лиц об одном тексте (речевом произведении) и суждения одного лица о разных текстах;
выяснять адекватность суждений данного лица как “оценщика” высших уровней языковой личности в зависимости от того, достигло ли этих уровней само данное лицо;
сосредоточиться на суждениях не столько типа “Мне нравится”, сколько типа “Мне не нравится”.
Последнее требование объясняется тем, что закономерное бытие уровня или компонента языковой личности явно выступает, главным образом, тогда, когда оно нарушается, т.е. когда речевое исполнение вступает в противоречие с задачей, с некоторой целью, включающей в себя идеал - субъективный по форме, объективный по содержа7нию, негативный по презентации, позитивный по перспективе. Поэтому мы начинаем с “ошибок”, “упущений” и тому подобных “минусов”, но далее в структурной модели делаем экстраполяцию “минусов” в “плюсы”. Эта операция вызвана тем, что нам нужна модель-идеал, своего рода ориентир для улучшения деятельности языковой личности, а не модель недостатков, пригодная только для критики сущего.
Определить уровни развития языковой личности - одна из задач построения исходной модели. Приведем примеры отмечаемых “оценщиком” типичных недостатков речевых поступков и отнесем эти недостатки к уровням языковой личности. Последовательность ряда уровней основана на том, что при наличии недостатков, относящихся к низшему по номеру уровню, не бывает ни похвал, ни критики в адрес каждого из вышележащих уровней. Расположим уровни в последовательности от низшего к высшему.
Уровень 1, критикуемый по формулам типа “Он русского языка не знает”.
Преддошкольник видит молоток, но не знает слова “молоток”.
Преддошкольник говорит: “Мама была дома, папа была в налаботе”.
Иностранец говорит: “Я буду прыгнуть сейчас”. Читая по-русски “Я сейчас прыгну”, он понимает прочитанное так же, как “Я сейчас прыгаю”.
Высказывая критику или делая исправления в таких случаях, “оценщик” отстаивает требование: “Пользуясь языком, надо пользоваться именно данным языком с его элементарными правилами”. Слова не должны быть “не-словами”, предложения - “не-предложениями”, - таков здесь идеал.
Назовем уровень 1 уровнем правильности.
Уровень 2, критикуемый по формулам типа “Он еще говорить как следует не научился”.
Некто говорит: “Мы (пауза) товарищи (пауза) соревнуемся (пауза) это (ангерофразия) по линии озеленения (пауза, ангерофразия) с городом Кустанай. С Кустанаем”.
Преддошкольник говорит: “Мама туда ходила, а я... мама ходила... мама туда ходила, там кошечка, три котеночка... мама туда ходила, я один был, там кошечка, три котеночка... и тетя чужая пришла... тогда”.
В этих случаях недостатком, подвергаемым осуждению или исправлению, является замедление в передаче информации, т.е. “плохая скорость”, связанная, в конечном счете, с недостаточно интериоризованным планом речевого поступка, с недостаточной цельностью 8представления о предстоящем частном высказывании.
Назовем уровень 2 уровнем интериоризации.
Уровень 3, критикуемый по формулам типа “У него бедная речь”.
Школьник в письменной работе излагает начало романа “Мать” Горького: “В этом городе был завод. На заводе работали рабочие, Рабочие не любили этого завода. Работы они тоже не любили”.
Иностранец, читая в русской книге [Е. Носов. Берега. М., 1971, с. 66] текст “Где-то на болотах кричали журавли. Перед восходом солнца крик их был так гулок, что казалось, будто птицы кружатся над коньком избы”, понимает все “правильно”, но понимает не более того, как если бы в тексте было написано: “Где-то кричали какие-то птицы. Перед восходом солнца что-то у них было каким-то, и казалось, что птицы что-то делают где-то”.
Критикуя недостатки речевых поступков, относящиеся к этому уровню, “оценщик” выражает свое стремление к тому, чтобы люди широко использовали “богатство языка”.
Назовем уровень 3 уровнем насыщенности.
Уровень 4, критикуемый в быту по формулам типа “Он не те слова говорит”. Некто, производя предложение, выбирает единицы речевой цепи, но выбор неадекватен: “Он ударил меня - по лицу, и я тоже... его-о... по физиономии”; “Не знаю, что вам на это сообщить”; “Я же, гражданин следователь, я же объясню, я тогда... следовал в кино”.
Или: один из собеседников говорит: “Вчера шествую это в баню...” Другой собеседник критикует первого за “неправильное употребление” слова “шествовать”. “Оценщик”, разобравшись в ситуации, говорит о втором собеседнике, что тот “шуток не понимает”.
Предметом оценок адекватности выбора единиц речевой цепи бывает, как правило, не целый текст, а одно предложение.
Назовем уровень 4 уровнем адекватного выбора.
Уровень 5, критикуемый в быту по формулам типа “Говорит он то, да получается что-то не то”.
Происходит разговор: “Кладовщиком? Что же, это можно, нам кладовщик нужен... О! А у вас тут в трудкнижке... Работали директором МТС... Раньше. Это хорошо...” - “Да, раньше... Моя звезда закатилась”. - Второй собеседник делает упущение, лишь производя предложение “Моя звезда закатилась”; однако в пределах предложения как такового нет никакого упущения: обеспечены и правильность, и интериоризация, и насыщенность. Неадекватность речевого поступка раскрывается лишь в контексте всего диалога. Точнее, неадекват9ность заключается в том, что один из собеседников разрушает важный параметр всего дискурса - его “тональность”, заданную первым собеседником и не усвоенную вторым. Мы имеем здесь дело с нарушением адекватности в тексте, принципиально большем, чем предложение.
Или: при описанном разговоре молча присутствует третий человек - посетитель. Он правильно воспринял семантику всех слов и предложений, но не заметил того, что в пределах всего диалога второй собеседник “испортил тональность”. Посетителю кажется, что предложение “Моя звезда закатилась” - не более, чем “образный перифраз” сообщения о том, что у второго собеседника служебные дела сначала развивались хорошо, а затем - плохо. Посетитель не замечает социальной неадекватности речевого поступка второго собеседника.
Этот уровень развития языковой личности включает достижения и недостатки в производстве или в синтетическом восприятии целого текста со всем сложнейшим комплексом как присущих ему средств коммуникации предметного содержания, так и присущих ему средств выражения духовного содержания личности самого коммуниканта.
Назовем уровень 5 уровнем адекватного синтеза.
Все недостатки (а следовательно, и достижения) речевых поступков легко распределяются теперь по названным пяти уровням.
Кроме описанного способа выделения уровней развития языковой личности, возможны и другие способы. Интересные наблюдения в связи с проблемой выделения уровней есть как в лингвистических работах, так и в работах по другим научным дисциплинам. Например, уровневый характер нормальной языковой личности (в составе тех же пяти уровней) хорошо виден и при наблюдениях над патологией речи, поскольку патология разлагает и упрощает то, что предстает в норме как слитое и усложненное. Возрастная периодизация проявления первых трех уровней развития языковой личности у ребенка и подростка хорошо коррелирует с возрастной периодизацией развития мышления, разработанной в педагогической психологии (“период дооперационального мышления”, “период конкретных операций”, “период формальных операций”).
Совокупность наблюдений показывает, что языковая личность, (1) овладев принятыми в обществе высокочастотными средствами прямой номинации, переходит к (2) интериоризации речи, что открывает ей путь к (3) лексико-грамматическому многознанию и, далее, к (4) своеобразной свободе в выборе средств выражения из множества потенциальных субституентов. Достижение этой свободы позволяет 10развитой языковой личности (5) оперировать целым текстом таким образом, чтобы форма текста оптимально рефлектировалась в содержании, выступала как “содержательная форма”.
После получения последовательного перечня уровней в диссертации описывается исходная модель языковой личности. Эта модель имеет параметрический характер. Описание языковой личности в виде параметрической модели опирается на три аксиомы:
Язык включает фонетическую, лексическую и грамматическую стороны (c соответствующей им семантикой).
Пользуясь языком, человек либо говорит, либо слушает, либо пишет, либо читает, либо совмещает эти действия.
Развитие языковой личности может быть большим или меньшим, лучшим или худшим, и эти различия можно представить в форме дискретных уровней.
Соответственно, исходная (упрощенная) модель строится по трем параметрам:
[img[богин1.png]]
Рис. 1
Упрощенная, исходная модель содержит всего 60 компонентов, полученных при перемножении трех параметров, несущих соответственно 3, 4 и 5 множителей (факторов).
Каждый компонент (“клетка”) языковой личности обретает в этой модели свое имя, например, “Адекватный синтез: грамматика при 11письме” и т.п. Поэтому языковую личность можно анализировать с помощью модели - даже упрощенной. Анализ такого рода помогает решить некоторые практические задачи. Так, каждый из компонентов модели может трактоваться двояко - либо как точка в модельном пространстве, в которой перемножаются факторы, отложенные на параметрах, либо как некоторый объем в модельном пространстве. Объем состоит из определенным образом характеризованных текстов (реальных и потенциальных), которыми языковая личность может оперировать, коль скоро она включает в себя соответствующий компонент. Эта возможность двоякой трактовки позволяет рассматривать модель как основание для таксономии не только готовностей языковой личности, но и текстов, втянутых в деятельность языковой личности. Признаки, существенные для таксономии текстов, оказываются ведущими, когда мы от описания исходной модели переходим к структурному монографическому описанию того или иного уровня развитости языковой личности.
Наряду с упрощенной исходной схемой модели языковой личности, в работе предлагается модель для более дробного описания уровня адекватного синтеза. Необходимость этой дополнительной модели вызвана следующими причинами. Исходная модель языковой личности, в силу своей упрощенности, не позволяет показать всего многообразия параметров и множителей, которые потребовались бы для более полного структурного описания языковой личности. Вообще языковая личность, взятая в каждом отдельном, индивидуальном случае, зависит не только от меры собственного развития, но и от используемого языка, и от множества типов речевых поступков и типов текстов (речевых произведений), которыми оперирует индивид.
Очевидно, целый ряд таких особенностей функционирования высшего уровня языковой личности целесообразно представить в виде множителей, откладываемых на соответствующих параметрах, несвойственных исходной модели. Число таких параметров таково, что модель языковой личности при более полном описании невозможно представить в виде геометрической фигуры, и структурное описание приобретает форму алгебраической записи. Специфические параметры, свойственные лишь модели высшего уровня языковой личности, разумеется, взаимодействуют с двумя параметрами, известными нам из исходной модели языковой личности: с осью А, на которой откладываются множители А-1 “фонетика”, А-2 “лексика”, А-3 “грамматика”, и с осью Б, на которой откладываются множители Б-1 “говорение”, Б-2 “аудирование”, Б-3 “письмо”, Б-4 “чтение”. Эти известные уже па12раметры и множители дополняются рядом других.
Один из параметров модели уровня адекватного синтеза (ось Г) - текст, взятый в его соотношении с языковыми подсистемами (подъязыками и их стилями). Хотя и на начальных уровнях языковая личность оперирует определенной подсистемой языка, все же именно высший уровень развития языковой личности предполагает свободный выбор подсистем и свободное оперирование ими.
Среди множителей на соответствующей параметрической оси модельного описания -
Г-1. Степень дробности при вычленении подъязыков, т.е. установление “расстояния” между подъязыками, а также установление того, насколько резко те или иные подъязыки противостоят друг другу в человеческой деятельности.
Г-2. Коммуникативно-содержательная обоснованность использования подъязыка. Перед языковой личностью, достигшей высшего уровня развития, стоит задача овладения множеством черт каждого подъязыка. Высокоразвитая языковая личность не только выбирает подъязык и строит или понимает речевое произведение на нем, но и способна строить текст со смешением подъязыков (и их стилей) в той мере, в какой подъязыки допустимы в тексте при общении с людьми, постоянно пользующимися не всеми этими подъязыками. Вообще частные готовности, связанные с этим множителем, и многочисленны и существенны.
Г-3. Риторическая обоснованность использования подъязыка, т.е. использование подъязыка с установкой на оптимизацию воздейственности текста.
Другой параметр (ось Д) модели высшего уровня развития языковой личности - текст в его соотношении с видами словесности. Виды словесности - продиктованная исторической человеческой деятельностью группировка произведений речи как совокупности всего сказанного и написанного или могущего быть сказанным и написанным. Число переменных, регулирующих множественность и противопоставленность видов словесности, очень велико, и разные сочетания этих переменных дают множество видов и подвидов словесности.
Множители, откладываемые на параметре, отражающем соотношение текста с видом словесности:
Д-1. Национально-историческая обоснованность использования вида словесности.
Д-2. Коммуникативно-содержательная обоснованность использова13ния вида словесности. Даже в пределах одного языка факт существования системы видов словесности создает особые требования к языковой личности.
Д-3. Риторическая и эстетическая обоснованность использования вида словесности.
Следующий параметр (ось Е) - текст в его соотношении с опредмечиваемыми категориями содержания. Здесь существенны средства выражения, не являющиеся средствами прямой номинации. Множители на этой параметрической оси соответствуют (Е-1) категории мировоззренческого, (Е-2) категории социально-этического, (Е-3) категории индивидуально-характерологического, (Е-4) категории эмоционального, (Е-5) категории оценочного. Параметр Е вводится в связи с тем, что на высшем уровне развития языковой личности вступает в силу своеобразное “отражение отражателя”, т.е. появляется сигнализация о человеческой субъективности, невозможная без языкового кода и опредмечиваемая им, но не равная ему.
Еще один параметр (ось Ж) - текст в его соотношении с противоположными тенденциями речевой деятельности. Речевая деятельность протекает в единстве и борьбе собственных противоположных тенденций. Каждому произведению речи присущи та или иная пропорция и та или иная мера устойчивости и вариативности этих тенденций, причем все эти пропорции и их вариативность могут быть оптимизированы как в коммуникативных, так и в риторических или герменевтических целях. Оптимальное регулирование отношений в каждой паре противоположных тенденций - свойство высокоразвитой языковой личности. Множители, откладываемые на этой параметрической оси, соответствуют основным парам противоположных тенденций:
Ж-1. Экспликационность и импликационность (в смысле Ю.М. Скребнева). Экспликационность понимается как расширение плана выражения при сужении плана содержания, импликационность - как расширение плана содержания при сужении плана выражения. Столкновение этих двух тенденций наблюдается повсеместно. Импликационность является способом оптимизации речи в условиях высокой общности пресуппозиций у продуцента и реципиента. Экспликационная тенденция открывает перед языковой личностью не менее важные возможности, связанные с введением в коммуникацию содержаний, не обозначенных средствами прямой номинации, т.е. не называемых в тексте с помощью привычно ассоциируемых с этими содержаниями слов.
Ж-2. Типологические противоположности речевых поступков (в смысле А.А. Холодовича). Основные пары типологических противопо14ложностей, например, устного речевого поступка - однонаправленность (переходность) и взаимность (диалогичность), дистантность общения и контактность общения.
Ж-3. Единство способа коммуникации и смещение способов коммуникации. Здесь особенно важна противопоставленность монокодовой и поликодовой коммуникативной деятельности; чисто вербального и смешанного способов коммуникации.
Ж-4. Единство подъязыка и смешение подъязыков в тексте. Известный из старой риторики термин “смешение стилей” означает не существование “смешанных стилей”, а возможность создания эстетических и риторических эффектов при включении в один и тот же текст двух или более подъязыков, взятых в пропорции, оптимально адекватной программируемому эффекту. Чередование отрезков текста, построенных на одном подъязыке, с отрезками “смешанного стиля” также может способствовать или препятствовать оптимизации общения.
Ж-5. Актуализация и автоматизация (в смысле Я. Мукаржовского). Задачи, возникающие у развивающейся языковой личности при освоении этой пары тенденций - формирование понимания содержательности художественных и иных актуализаций, выработка хотя бы некоторого продуктивного опыта актуализации, различение нормальных и аномальных (“опошляющих”) автоматизмов речи, умение четко противопоставлять художественный текст и тексты псевдохудожественного вербального производства, а также определение элементов мировоззрения и мироощущения, опредмеченных в актуализированных и автоматизированных текстовых формах.
Ж-6. Акцидентальная и субстанциальная формы. Как известно, форма текста вступает в отношения с содержанием дважды. Неразвитая форма “стоит спиной” к содержанию, развитая форма “стоит лицом” к нему (Г.В. Гегель). В первом случае выбор формы маловажен, случаен, субституции в области формы произвольны и никак не влияют на содержание, т.е. форма акцидентальна по отношению к содержанию. Во втором случае форма становится субстанциальной, содержательной. Обычно в тексте присутствуют как тенденция к акцидентальности, так и тенденция к субстанциальности формы. Готовность обоснованно соотносить и противопоставлять эти тенденции - часть способности к усмотрению меры художественности текста.
Как мы видим, модель высшего уровня развития языковой личности строится по шести параметрам. Из них два принадлежат исходной модели языковой личности (третья ось исходной модели, ее “вектор 15развития”, т.е. ось В, не берется, коль скоро моделируется лишь один из пяти уровней языковой личности), четыре параметра принадлежат специально модели уровня адекватного синтеза.
Вся модель уровня адекватного синтеза не может быть показана на рисунке, поскольку она шестимерная. Поэтому в диссертации дается ее алгебраическое описание. При этом описании мы получаем упорядоченный перечень характеристик языковой личности, достигшей высшего уровня развития. Если бы модель была представлена в геометрической форме, мы назвали бы точки пересечения параметров “клетками”; условно примем для них это метафорическое название и при алгебраическом описании.
Число клеток можно получить перемножением количеств множителей на всех параметрических осях, т.е.
(А=3)х(Б=4)х(Г=3)х(Д=3)х(Е=5)х(Ж=6)=3240
Таким представляется число клеток, составляющих уровень 5 языковой личности. Какая-то часть клеток - “пустые клетки”, т.е. произведения шести множителей в некоторых сочетаниях не имеют содержания, но число “пустых клеток”, по нашим оценкам, не превышает 10%. В целом, число клеток уровня адекватного синтеза составляет в модели языковой личности приблизительно три тысячи.
Каждая клетка определяется по шести множителям (по одному множителю от каждого параметра), например, А3Б1Г1Д2Е2Ж1 означает, что для адекватного функционирования соответствующей клетки надо лексически оформить некоторое устное сообщение, адекватно и при этом очень дробно избрав подъязык, обоснованно пользуясь наиболее подходящим видом словесности, опредмечивая категорию социально-этического и выбирая оптимальную меру соотношения экспликационной и импликационной тенденцией. Очевидно, за каждой “клеткой” модели стоит таксономическое деление специфической типологии текстов, составляющее лингвистическую содержательность каждой “клетки”. Лингвистическая содержательность каждого из уровней и каждого из компонентов модели языковой личности существенна для последующих эмпирических интерпретаций модели.
Описание концепции и модели языковой личности сопровождается в реферируемой диссертации описаниями оснований, необходимых при эмпирических интерпретациях модели. В принципе, число таких интерпретаций неконечно; кроме того, эмпирическая интерпретация модели, выполненная для той или иной деятельности, может быть более дробно выполнена в случае, когда из рассматриваемой деятельности вы16членена некоторая более частная деятельность (например, из деятельности обучения языку - деятельность обучения определенного контингента определенному языку). Эмпирическая интерпретация модели есть наблюдение над тем, как тот или иной вид деятельности втягивает в работу языковой личности разные виды производимых и принимаемых текстов, как функционирует в тех или иных условиях структура языковой личности в качестве единства систематики готовностей и систематики текстов, как усовершенствуется (или ухудшается) действование языковой личности с текстами в зависимости от тех или иных обстоятельств.
Второй раздел диссертации - “Использование модели языковой личности в теории и практике понимания текста”. Понимание - специфическая деятельность, возникающая тогда, когда смысловое восприятие текста затруднено и, следовательно, появляется необходимость преодолеть “непонимание”. Деятельность понимания характеризуется тем, что человек активно обращает свой опыт на текст с целью освоения его содержательности. Различия в характере обращаемого опыта делают проблему понимания текста междисциплинарной. Она относится к лингвистике в той мере, в какой внелингвистический (а отчасти - и лингвистический) опыт человека хранится и передается в лингвистически релевантной форме. В той же мере модель языковой личности является одновременно и моделью развитости готовностей к пониманию текстов, т.е. уровни модели языковой личности соотносительны с разными мерами готовности к пониманию и - в известной степени - с разными типами понимания текста.
Акт понимания базируется на рефлексии. Рефлексия есть установление связи между извлекаемым прошлым опытом и той ситуацией, которая представлена в тексте как предмет для освоения. Благодаря рефлексии, во-первых, осваиваемый образ представленной в тексте ситуации получает некоторые признаки уже освоенных субъектом ситуаций, во-вторых, изменяется отношение субъекта к наличному опыту, к образам представленных в нем ситуаций. Эти изменения, вносимые в рефлектируемый совокупный образ, дают новый опыт, лежащий в основе акта понимания текста. Элементы нового опыта в акте понимания образуют организованность, т.е. некоторое целое, содержательно превышающее сумму своих частей, благодаря чему акт понимания и может приводить к новому знанию. Рефлексия - важный компонент субъективного отражения действительности, представленной также и в содержательности текстов. Собственно лингвистический коррелят рефлексии - готовность к перевыражению. Определяющим собственно линг17вистическим условием понимания текста является то неотделимое от бытийного статуса языковой личности обстоятельство, что языковая личность есть не только систематика готовностей, но и систематика текстов. Если, например, наряду с текстами метафоризованными не было бы содержательно сходных (субститутивных) текстов с лишь прямой номинацией смыслов, то не возникало бы и того “другого” (интерпретирующего) текста, в котором мог бы содержательно перевыразиться некоторый данный метафоризованный текст. Хотя это перевыражение (интерпретация как вербализованная рефлексия) может актуально и не присутствовать в том или ином конкретном акте понимания, уже самое его присутствие “в снятом виде” выступает как необходимая гарантия для случая, когда необходимо перейти от незатрудненного (нерефлективного) смыслового восприятия текста к деятельности собственно понимания.
В бытовом словоупотреблении словом “понимание” пользуются нетерминологически. Кроме того, даже при терминологическом использовании слова “понимание” им обозначают существенно различающиеся процессы освоения содержательности текста. В диссертации описана типология понимания текста, соотносительная со структурой языковой личности. Собственно лингвистическая таксономия, коль скоро она берется вне связи с художественным текстом, не предполагает иерархического расположения типов понимания, т.е. типы понимания текстов рядоположены. Однако при обращении этой же таксономии на художественные тексты мы сталкиваемся с иерархическим расположением типов понимания, с их функционированием в качестве восходящего ряда уровней:
Семантизирующее понимание, т.е. “декодирование” единиц текста, выступающих в знаковой функции. Этот тип понимания имеет место, по преимуществу, при нарушениях смыслового восприятия текста в условиях усвоения языка (или в условиях усвоения единиц языка), например, в ситуации, когда среди “знакомых слов” встретилось “незнакомое слово”, подлежащее семантизации.
Когнитивное понимание, возникающее при преодолении трудностей в освоении содержательности познавательной информации, данной в форме тех же самых единиц текста, с которыми сталкивается семантизирующее понимание.
Распредмечивающее понимание, постоянно имеющее место при действовании с субъективными реальностями (реальностями сознания, чувствования, воли), презентируемыми при этом помимо средств прямой номинации, но опредмеченными все же именно в средствах текста. 18“Распредметить” значит восстановить при рецепции текста какие-то стороны ситуации действования (мыследействования) продуцента (или восстановить то, во что эти стороны ситуации действования превратились в ходе последующего бытования текста в обществе; такое восстановление приводит к появлению многих граней понимаемого, что соответствует многоаспектности бытования текста в обществе). Распредмечивающее понимание чаще всего бывает обращено на художественные тексты, а отчасти и на тексты на подъязыке разговорной речи. Процесс распредмечивающего понимания может совмещаться с процессами семантизирующего и когнитивного понимания или с их нерефлективными аналогами, имеющими характер процессов незатрудненного смыслового восприятия текста. Существенно, что в обычной рецепции доля семантизирующего понимания (собственно понимания) сравнительно с аналогичным нерефлективным процессом смыслового восприятия невелика. Доля собственно понимания возрастает, когда дело касается соотношения когнитивного понимания с аналогичным нерефлективным процессом смыслового восприятия, регулируемого когнитивной установкой. Что же касается распредмечивающего понимания, особенно при обращении его на художественный текст высокого качества, то здесь наблюдается заметное преобладание собственно понимания над нерефлективным смысловым восприятием текста, что, впрочем, не значит, что реципиент во всех случаях отдает себе отчет в том, что он совершает рефлективные акты.
Три типа понимания позволяют реципиенту осваивать все три типа ситуаций, представленных в текстах - ситуации знаковые (т.е. такие, в которых “непонимание” возникает в связи с характером знаков и их отношений), ситуации объективно-реальностные (т.е. такие, в которых “непонимание” возникает благодаря сложности связей и отношений между выраженными в тексте представлениями и понятиями о предметах, явлениях и процессах действительности) и ситуации субъективно-реальностные (т.е. такие, в которых “непонимание” возникает благодаря сложности представленных в тексте субъективных реальностей, их отношений, их развития). Охват всех типов ситуаций, представленных в тексте, наличными тремя типами понимания - основа правила принципиальной понятности текста. Знаковые ситуации осваиваются семантизирующим пониманием, объективно-реальностные - когнитивным, субъективно-реальностные - распредмечивающим, хотя возможны и переходные случаи.
Каждый тип понимания организуется из типологически соответствующего рефлективного материала (материала содержательности опы19та): семантизирующее понимание - из рефлексии над опытом вербальной памяти, когнитивное - из рефлексии над опытом знания и познавательного процесса, распредмечивающее - из рефлексии над опытом значащих переживаний. Грани между этими разделами опыта не являются непроницаемыми, однако каждый рефлективный акт, существенный для понимания текста, сопряжен с извлечением опыта определенного типа. Сложившаяся практика текстопостроения также способствует последнему обстоятельству, т.е., например, тексты, предназначенные преимущественно для когнитивного понимания, строятся таким образом, чтобы при их понимании реципиент рефлектировал над когнитивным же опытом, а опытом вербальной памяти пользовался нерефлективно и автоматизированно.
Типология понимания имеет генетическую связь со структурой языковой личности. Начало (но лишь начало!) готовности к тому или иному из типов понимания восходит к тому или иному уровню развитости языковой личности. Готовность к семантизирующему пониманию начинается одновременно с готовностью языковой личности к действованию на уровне правильности. Готовность к когнитивному пониманию возникает тогда, когда уровень правильности уже сформирован. Готовность к распредмечивающему пониманию возникает в связи с формированием уровня адекватного выбора и реализуется при наличии уровня адекватного синтеза. Соотносительность начала готовности к семантизирующему и когнитивному пониманий с тем или иным не высшим уровнем развитости языковой личности отнюдь не означает того, что какой-то один тип понимания “вообще выше” или “вообще ниже” другого; при актуальном функционировании высшего уровня развитости языковой личности может потребоваться готовность к любому типу понимания, хотя в большинстве случаев семантизирующее понимание и когнитивное понимание заменяются их нерефлективными аналогами в незатрудненном смысловом восприятии текста, а собственно понимание (преодоление “непонимания”) обращено на ситуации, требующие распредмечивания текстовых средств для освоения представленных в тексте смыслов, не обозначенных путем прямого наименования. Этот преобладающий процесс время от времени видоизменяется, сочетаясь с разрешением сложных знаковых или когнитивных ситуаций, после чего вновь восстанавливается положение, при котором собственно понимание обращено на распредмечивание, а семантизирующее и когнитивное понимание представлены “в снятом виде”, т.е. заменены своими нерефлективными аналогами.
20Генетическая связь типологии понимания текстов со структурой языковой личности обнаруживается и в том случае, когда бывает необходимо дать интерпретацию уже понятого текста (например, один человек сообщает о достигнутом им понимании другим людям). В этом случае результаты распредмечивающего понимания интерпретируются (перевыражаются) текстовыми средствами, обычными при построении текста для когнитивного понимания, результаты когнитивного понимания - средствами, обычными для фиксации семантизирующего понимания, результаты семантизирующего понимания - невербальными средствами, поскольку здесь приходится возвращаться к невербальному коду.
Каждый последующий уровень развитости языковой личности вносит новую, добавочную, черту в рефлектируемый образ осваиваемой ситуации, представленной в подлежащем пониманию тексте: уровень правильности обеспечивает константность рефлектируемого образа, уровень интериоризации - целостность образа (возможность рефлектировать над образом ситуации как над объектом с некоторой протяженностью), уровень насыщенности - конкретность образа (субститутивные средства текста, соотносительные с одной и той же представленной в тексте ситуацией, позволяют уточнить, детализировать и конкретизировать ее образ в рефлективном акте), уровень адекватного выбора - вариативность образа (становится очевидным, что образ видоизменяется при текстовых репрезентациях, выполненных разными наборами субституентов), уровень адекватного синтеза - процессуальность образа (у языковой личности появляется возможность воспринимать не только данные в таком-то месте текста смыслы, но и оперировать смыслами, развиваемыми и меняющимися в пределах целого текста). Та или иная черта рефлектируемого образа ситуации, вносимая в связи с достижением более высокого уровня развитости языковой личности, сочетается с чертами, уже внесенными на нижележащих уровнях.
Недоучет типологических различий процессов понимания текста и недооценка соотнесенности структурных уровней языковой личности с существенными чертами рефлектируемого образа ситуации имеют для некоторых видов теоретической, художественной и педагогической деятельности далеко идущие последствия, описанию которых в диссертации уделяется много места. В частности, реципиенту может казаться, что он “всё понял”, хотя актуально преобладающие черты рефлектируемого им образа ситуации недостаточны для социально-адекватного освоения представленных в тексте реальностей. Например, происходит диалог десятилетней девочки и педагога:
- Взрослый: Люба, кем ты будешь, когда вырастешь?
- Девочка: 21Не скажу.
- В.: Учительницей?
- Д.: Не скажу. Не буду учительницей.
- В.: Ну, мне-то скажи, я никому не стану рассказывать.
- Д.: Ладно... Я буду... а...крыса!
- В.: “А-крыса”? Как это “а-крыса”?
- Д.: Буду акрыса. Акрысой.
- В.: А что это?
- Д.: А получает. Каждый вечер чего спела - сто рублей.
- В.: А-а - актрисой хочешь быть? Ну, понятно, хочешь быть артисткой.
- Д.: Нет, акрысой.
Если языковая личность взрослого коммуниканта действует в описанной ситуации, например, лишь на уровне интериоризации, то необходимое здесь распредмечивающее понимание заменяется пониманием когнитивным, т.е. актуально понимается лишь то, что Люба хочет стать актрисой, а не зоологом или учительницей. Вместе с тем, черта целостности, вносимая на этом уровне деятельности языковой личности в рефлектируемый образ ситуации, позволяет коммуниканту “связать” представленную в дискурсе ситуацию с хранящимися в памяти (в качестве рефлективного материала) целостными образами сходных ситуаций типа “Таня хочет быть зоологом”, “Оля хочет быть учительницей” и дальше работать с новой ситуацией как ситуацией реальности, в которой “желание Любы быть актрисой” якобы сопоставимо со стремлениями всех других детей, высказывающих мечту о профессии. В этом случае ситуация субъективных реальностей Любы остается не освоенной воспитателем, т.е. вместо понимания текста достигается как раз “непонимание”.
Если в рефлектируемый образ ситуации вносятся черты конкретности и вариативности, то все же представленная в дискурсе субъективно-реальностная ситуация остается неосвоенной, хотя взрослый собеседник и достигает при этом готовности социально-адекватно усмотреть и оценить формальные особенности всех отдельных актов вульгаризованной речи своей юной собеседницы. Вместе с тем, частные характеристики речений еще не выступают в этом случае в качестве коррелятов совокупного опредмеченного смысла всего дискурса. Освоение этого смысла возможно лишь при достижении языковой личностью (и включении в ее деятельность) уровня адекватного синтеза - уровня, соотносительного с процессуальностью как чертой рефлектируемого образа осваиваемой ситуации.
В этом случае смысл отдельных речений Любы начинает развиваться по мере участия реципиента в диалоге и превращается в смысл, существенно отличный от того, который возникал при включении в деятельность лишь нижележащих уровней языковой личности. Благодаря этому развитию распредмечивание форм текста дает весь комплекс 22субъективно-содержательного - от наращиваемых в дискурсе частных смыслов (“наивная застенчивость”, “наивная надежда на удачу в случае "хитрого" решения” и т.п.) до той совокупности актов осознания и актов значащего переживания, которая в интерпретирующем тексте (приспособленном уже к когнитивному пониманию) приведет к новым оценкам и к отсутствующим в дискурсе наименованиям - “несчастный ребенок”, “подлинное нравственное неблагополучие в семье” и т.п. Коль скоро достигнуто такое положение дел, понимающий субъект имеет основания переходить к той деятельности, ради которой осуществляется понимание, в данном частном примере - к социально-адекватной деятельности воспитания. Последняя существенно отличается от деятельности социально-неадекватной, например, от “воспитательной беседы”, вытекающей из ложного “понимания”, соотносительного с актуальным использованием в деятельности лишь низших уровней развитости языковой личности: “Итак мы видим, что все дети уже мечтают о будущей профессии: Таня хочет быть зоологом, Люба - актрисой, Оля - учительницей” и т.п. Разумеется, языковая личность - это не “универсальная профессиограмма” для различения адекватного и неадекватного в деятельности, но все же без представления о языковой личности это различение во множестве случаев трудно выполнить.
Одно из препятствий для социально-адекватной деятельности на основе понимания текстов - абсолютизация семантизирующего понимания и оценка всех представленных в тексте ситуаций в качестве знаковых и только знаковых (“Как я могу не понимать текста, коль скоро я знаю значения всех слов?”). Определенные опасности заключены и в универсализации когнитивного понимания. Если подмена когнитивного понимания семантизирующим приводит к оперированию словами вместо оперирования понятиями, то подмена распредмечивающего понимания когнитивным приводит к оперированию блоками текста вместо участия в собственно человеческих переживаниях. Источник обоих типов универсализации - в позитивистской методологии знания и мышления. Универсализация какого-то одного типа понимания всегда сопряжена с недооценкой других типов. Это положение особенно существенно при решении проблемы понимания художественного текста - понимания, мобилизующего готовности, принадлежащие к разным уровням в структуре языковой личности (в диссертации это продемонстрировано посредством филологически-герменевтического анализа отрывков из произведений русских классиков).
Социально-адекватная рецепция художественного текста имеет ряд 23особенностей. Представленная в них совокупная ситуация, осваиваемая как путем собственно понимания, так и путем нерефлективного смыслового восприятия, имеет три аспекта, т.е. реципиент одновременно осваивает и знаковую, и объективно-реальностную, и субъективно-реальностную ситуацию, причем образ ситуации дается реципиенту лишь как развивающийся образ. Поэтому смыслы, представленные в предшествующих отрезках речевой цепи, отчасти оказываются и смыслами последующих отрезков (т.е. происходит “растягивание смыслов”), но в этих последующих отрезках вводятся и некоторые другие смыслы (т.е. одновременно продолжается “наращивание смыслов”). Как “растягиваемые”, так и “наращиваемые” смыслы опредмечены в формах построения текста.
В диссертации описываются некоторые техники понимания, в основном различающиеся по типам понимания текста. При семантизирующем понимании применяется общеизвестная техника декодирования, при когнитивном - техника последовательного сочетания смыслов микро-текстов (сюда относятся и становящиеся возможными при достижении уровня насыщенности в структуре языковой личности более частные техники - контекстная догадка и др.), техника рефлективного связывания извлекаемых из опыта и актуализируемых знаний с усматриваемыми признаками представленного в тексте объекта и др. Некоторые техники применимы как при когнитивном, так и при распредмечивающем понимании, например, техника ориентирования в содержательности по экспектациям (последние представлены в жанровых и других мета-текстовых ориентирах), техника разрыва “герменевтического круга” (путем перебора граней понимаемого, рефлектирования над содержательностью этих граней и связывания новым способом извлекаемого рефлективного материала). Техники распредмечивающего понимания многочисленны и распадаются на ряд групп - техники собственно распредмечивания (восстановление ситуации мыследействования продуцента на основании средств текста, опредмечивающих чужую субъективность), реактивация (“оживление”) опыта значащих переживаний, переконцентрация (переключение личностной установки, позволяющее реципиенту поставить себя в ситуацию, представленную в тексте). В диссертации описана также нежелательная, но пока еще широко распространенная техника эпифеноменального понимания, заключающаяся в том, что процессуальность как черта рефлектируемого образа осваиваемой ситуации исключается из мыследеятельности по ходу рецепции текста, а вся работа рефлексии начинается только по окончании рецепции текста большой протяженности. Эта техника при24водит к многочисленным ошибкам в распредмечивающем понимании.
Модель языковой личности служит основанием для построения не только типологии понимания текстов, но и типологии самих текстов по критерию их приспособленности к разным типам понимания. С этой точки зрения можно противопоставить удачные (оптимальные) и неудачные акты текстопостроения. Неудачи бывают связаны с тем, что замыслу того или иного текста адекватен определенный тип понимания, тогда как структура текста стимулирует другой тип понимания. Другой неоптимальный случай текстопостроения выявляется тогда, когда при когнитивном понимании текста получается один набор смыслов, а при распредмечивающем - другой. В одних случаях неоптимальное текстопостроение выполняется так, что при рецепции в деятельность понимания вынужденно включаются слишком низкие уровни языковой личности, в других - неожидаемо высокие. Часто это бывает связано с тем, что продуцент при текстопостроении вносит в подлежащий рефлективной обработке образ ситуации одну черту, но ожидает эстетического и риторического эффекта, возможного лишь при внесении в этот образ другой черты, соотносительной с другим уровнем структуры языковой личности.
При оптимальном текстопостроении учитываются основные противопоставленности, соответствующие тем или иным параметрам и множителям в структуре языковой личности. Так, в текстах для семантизирующего понимания весьма существенным приемом текстопостроения оказывается регулирование меры избыточности при общем высоком ее уровне, в текстах для когнитивного понимания - регулирование меры экспликационности при высоком ее уровне, в текстах для распредмечивающего понимания - регулирование меры актуализации. В частности, экспликационность научно-технического текста включает реципиента в систему связей, присущих данному предметному содержанию, втягивает реципиента в рефлексию над опытом установления связей и при этом способствует уточненности, конкретности рефлектируемого образа ситуации; при реализации этой тенденции текстообразования мобилизуются готовности, присущие уровню насыщенности в структуре языковой личности. Достигнутая уточненность развивается далее в вариативность образа, что лингвистически отражается в авторских актах уточняющей субституции. Уточненный выбор субституента при построении текста для когнитивного понимания - существенное действие продуцента в условиях, когда реципиент уже владеет готовностью различать субституенты. В рефлексию включается представление о том, что нечто “сказано именно так, хотя могло бы быть сказано иначе, но если бы было сказано 25иначе, то было бы сказано не в точности то, что сказано”. Втягивание в деятельность языковой личности уровня адекватного выбора, сопряженное с представлением о “возможности сказать иначе”, совершенствует тем самым процесс когнитивного понимания, одновременно подготавливая реципиента и к пониманию распредмечивающему.
Поскольку именно универсальная субститутивность избираемых средств выражения составляет, с лингвистической точки зрения, механизм, обеспечивающий зависимость когнитивного понимания от структуры языковой личности, в диссертации указываются типичные оппозиции в языковом материале, поддерживающие те различения, которые необходимы для содержательно-логических преобразований в деятельности когнитивного понимания у языковой личности, достигшей уровня адекватного выбора. Предпочтение того или иного термина лингвистической оппозиции при производстве текста для когнитивного понимания приводит к тому, что при рецепции образование смысла того или иного отрезка текста модифицируется по программе, исходящей от продуцента текста.
Хотя фактор “экспликационность/ импликационность” не чужд и текстам для распредмечивающего понимания, все же ведущим фактором текстообразования оказывается здесь актуализация. Актуализация текстовых форм постоянно поддерживает процесс усмотрения нового в развиваемых (“наращиваемых” и “растягиваемых”) смыслах. Смыслы могут выступать здесь как субъективные реальности (реальности сознания, чувствования и воли), развиваемые по ходу рецепции текста. Например, субъективная реальность “скромность и молчаливость героя”, объективно представленная в тексте “Завещания” Лермонтова - это смысл, который не существует в качестве означаемого при каком-то установленном знаке, а лишь появляется в результате рефлексии у читателя, когда он оказывается перед вопросом, каков же тот человек, который представлен в тексте. Уровень адекватного синтеза в развитии языковой личности коррелятивен c таким способом объективного (и программируемого) существования субъективных реальностей в текстах для распредмечивающего понимания, при котором, как отмечали Маркс и Энгельс [Соч., 2-е изд., т. 3, с. 423], “новое не содержится заранее ни в "объекте", ни в "субъекте"; оно возникает в процессе человеческой деятельности, подобно тому как огонь, возникающий при соударении камня и стали, не содержится как "самостоятельная вещь" или "элемент" ни в камне, ни в стали, а возникает при определенных условиях из отношения камня и стали”. Для на26шего случая (появление и развитие смыслов при контакте реципиента с текстом) одним из таких условий является система средств текстопостроения, способствующая тому, чтобы в рефлектируемом образе субъективно-реальностной ситуации постоянно сохранялась черта процессуальности. Постоянное привлечение внимания к текстовым средствам путем их актуализации - основное препятствие против “сползания” реципиента от процессуальности к эпифеноменальности в ходе понимания текста: сосредоточивая внимание реципиента на формах текстовых средств, актуализация не позволяет реципиенту “оторваться” от смыслов, опредмеченных именно в этих формах и существующих при этом лишь в процессе своего “наращивания” и “растягивания”.
В диссертации рассмотрены также другие закономерности оптимального построения текстов для разных типов понимания. Некоторые из этих закономерностей вызваны к жизни установкой продуцента на облегчение процессов понимания (в частности, распадение текста на “дроби” и композиционные части, а также мета-смысловая и мета-формальная характеризованность текста). Действие других закономерностей текстообразования, особенно в случае с текстами для распредмечивающего понимания, необходимым образом усложняет процесс понимания (компрессированность информации, партитурная и партитурно-полифоническая организация средств выражения в речевых цепях). В конце XX века увеличивается доля художественных и научных текстов, в оптимальном освоении содержательности которых собственно понимание, основанное на рационально протекающих рефлективных актах и требующее использования рефлективных техник, играет значительную роль, часто не уступающую роли перспективного смыслового восприятия. Это ставит перед современным реципиентом задачу - учиться рефлексии с целью достижения надежной готовности правильно, глубоко и всесторонне понимать тексты.
Третий раздел диссертации - “Использование модели языковой личности в теории и практике обучения языкам”. В разделе показано, что на основе структурного представления языковой личности можно разработать понятие “выделение языка как учебного предмета”. На первый взгляд это понятие может показаться относящимся к частным методикам. Однако частные методики решают вопрос о том, как учить, а не чему учить. Ответ на последний вопрос заключен (пока что в скрытой форме) в фундаментальных науках, в том числе и в языкознании.
Выделить язык как учебный предмет нельзя лишь на основе наблю27даемых речевых актов, его можно выделить из структуры идеальной языковой личности, включив в содержание обучения одни компоненты этой структуры и отбросив другие. Акт включения и отбрасывания компонентов зависит от поставленных задач обучения, т.е. это есть вопрос составления учебных программ. Однако до и ради решения этого педагогического вопроса необходимо иметь собственно лингвистическое представление о структуре языковой личности в полном виде, лишь после чего можно переходить к некоторому “вычитанию” компонентов из всего “инвентарного списка” этих компонентов. Несоблюдение этого принципа имеет неисчислимые отрицательные последствия.
Покомпонентное (“клеточное”) представление о языковой личности весьма существенно для организации обучения как первому, так и второму языкам. Недооценка этого представления очень заметна в частных языковых методиках. Частные языковые методики не случайно десятилетиями “мечутся из стороны в сторону”, нередко вновь возвращаясь к позиции, оставленной за несколько десятилетий до этого. Особенно заметны такие случаи в методиках обучения иностранным языкам: здесь особенно чувствуется тенденция к некоему “единому методу”, якобы не зависящему от того, какие уровни и какие компоненты конкретно формируются с помощью излюбленных упражнений того или иного методиста.
Мнимая целесообразность “единого метода” диктуется представлением о непротиворечивом единстве такого объекта, как “владение языком”. Между тем, этот объект не только необходимо противоречив, но и весьма дробен. Каждой единице дробления языковой личности могут соответствовать как общие с другими единицами, так и свои собственные приемы формирования. Вопрос о противоречиях в формировании языковой личности подробно рассмотрен в диссертации. Проанализированы некоторые из большого числа распространенных суждений, которые очень многим специалистам по частным языковым методикам представляются воплощением “лингводидактического здравого смысла” и производят впечатление универсальных непротиворечивых положений, применимых к любой ситуации в рациональном обучении языку. Однако за каждым из этих суждений, каким бы “инвариантным” и непротиворечивым оно ни казалось, в действительности скрывается некоторая антиномия, присущая развитию языковой личности. Противоречивость этого развития неизбежно должна отразиться в противоречивости (не логической, конечно) системы оптимальных упражнений, т.е. неизбежно должна привести к тому, что способ формирования языковой 28личности так же противоречив, как способ ее существования. Источник противоречий - в факте развития языковой личности. Носитель языка “не равен самому себе” в зависимости от того, владеет ли он начальным или конечным, низшим или высшим в той готовности к деятельности, которая и делает его языковой личностью.
Уровни языковой личности не просто рядоположены, они противоречивы. Поэтому те или иные распространенные “суждения здравого смысла”, обычно применяемые к языковой личности в целом, в действительности оказываются истинными только применительно к какому-то одному уровню развития языковой личности или даже только применительно к какой-то одной группе компонентов. Так, например, некоторая антиномия скрывается за суждением: “Чем лучше формируется владение языком, тем выше автоматизация речевых поступков”. Между тем, речевой поступок языковой личности, достигшей уровня адекватного выбора, может быть одновременно построен и автоматически, и осознанно, дискурсивно. При этом автоматизация характерна для тех сторон поступка, которые обусловлены развитием низших уровней, а осознанность и дискурсивность - для тех сторон, которые сопряжены с развитием высших уровней языковой личности. Вообще таких якобы “непротиворечивых” универсализирующих суждений, за которыми скрывается действительное противоречие уровней или компонентов модели языковой личности, бывает очень много, и дело развития речи и обучения языкам страдает от этого.
В заключительной главе работы рассматривается частный, т.е. один из бесконечного числа возможных, случай эмпирической интерпретации модели языковой личности в заданных условиях обучения. Выбор частного случая (частного примера) из числа всех возможных обусловлен тем, что автор реферируемой работы в течение многих лет заведовал кафедрой английского языка на факультете иностранных языков Кокчетавского педагогического института и имел некоторые возможности “изучать, обучая”. Преподавателей этой кафедры интересовали возможности приближения обучаемых к относительной полноте владения вторым языком. Этой задаче и соответствовало определение содержания языка как учебного предмета при посредстве тех понятий, о которых здесь уже шла речь.
Опытное преподавание подтвердило значимость противоречий между последовательно осваиваемыми уровнями структуры языковой личности в условиях обучения второму языку. Универсализирующие суждения, сложившиеся в опыте работы над тем или иным уровнем или компонентом структуры языковой личности, оказываются неадекват29ными задачам и условиям формирования другого уровня или компонента. Например, традиционное представление о “лексическом минимуме” оказывается непригодным при планомерном формировании компонента “Насыщенность: лексика при чтении”, и это обстоятельство существенно видоизменяет всю программу обучения, поскольку возникает настоятельная потребность в очень значительном лексическом многознании и соответствующей мере начитанности на изучаемом языке. Так называемый “принцип беспереводной работы над речью”, действительно очень актуальный при развитии уровня интериоризации, оказывается препятствием при становлении уровня адекватного выбора, поскольку при формировании этого уровня вся учебная работа значительно ускоряется при выполнении переводов с родного языка.
В ходе опытного преподавания, учитывающего многоуровневый и многокомпонентный характер структуры языковой личности, были получены выводы об обучающих воздействиях, существенных для формирования высших уровней языковой личности. Так, например, было установлено, что стилистическая интерпретация текста теряет смысл, если она производится по способу “от автора к тексту”. Этот способ (очень популярный как на факультетах иностранных языков, так и на факультетах русского языка) заключается в том, что студенту дают характеристику идеологии и стилистических особенностей текстов, данного автора, после чего студент лишь находит в тексте подтверждения уже полученных сведений, подтверждает термин примерами. Благодаря этому запоминается некоторая “литературно-критическая” информация, но это недостаточно способствует формированию герменевтических готовностей на уровне адекватного синтеза. Поэтому в течение последних пяти лет опытного преподавания материал анализировали по способу “от текста к автору”. Сведения о поэтике и идеологии автора студент должен был получить из единственного источника - из опредмечивающих средств текста. В случае, когда интерпретировался ранее не читанный текст автора, другие тексты которого до этого уже читалась студентами, важным результатом считалась правильная атрибуция текста определенному автору.
Эмпирическая интерпретация модели языковой личности показала возможность оперирования категорией “распредмечивание” как понятием об элементах деятельности с текстом, поддающихся планомерному управлению.
Опыт двух эмпирических интерпретаций модели языковой личности (для деятельности понимания и для деятельности обучения языкам) говорит о том, что предложенная модель может подвергаться эмпири30ческой интерпретации и для других видов деятельности, в частности, для тех, в которые включена человеческая речь.
По теме диссертации автором опубликованы следующие работы:
А. Книги:
Уровни и компоненты речевой способности человека. Калинин, 1975. 6,6 печ. л.
Противоречия в процессе формирования речевой способности. Калинин, 1977. 5,1 печ. л.
Относительная полнота владения вторым языком. Калинин, 1978. 3,3 печ. л.
Современная лингводидактика. Калинин, 1980. 4 печ. л.
Филологическая герменевтика. Калинин, 1982. 5,2 печ л.
Б. Статьи:
Две концепции устойчивости словосочетаний. - Филологические науки, 1966, № 3. 0,3 печ. л.
Материальные основы системности языка. - В кн.: Вопросы методологии и методики лингвистических исследований. Уфа, 1966. 0,3 печ. л.
Гипотеза Сепира - Уорфа и некоторые вопросы лексикографической практики. - В кн.: Республиканская межвузовская конференция по вопросам преподавания и теории иностранных языков. Алма-Ата, 1966. 0,2 печ. л.
Проблема выбора средств выражения при овладении иноязычной разговорной речью. - В кн.: Теория и практика лингвистического описания разговорной речи. Горький, 1968. 0,2 печ. л.
Мера соотношения экспликации и импликации как критерий разграничения свободного (“разговорного”) стиля. - В кн.: Вопросы романо-германского языкознания, вып. 3. Челябинск, 1969. 0,2 печ. л.
О задачах и методике обучения переводу с родного языка на иностранный на педагогических факультетах языковых вузов. - Тетради переводчика, вып. 7. Москва, 1970. 0,8 печ. л.
Разговорная речь на иностранном языке как один из объектов обучения практической стилистике в языковом вузе. - Иностранные языки в высшей школе, вып. 6. Москва, 1971. 0,6 печ. л.
Модель относительно полного владения языком. Сообщение I. Модель относительного полного владения родным языком. - В кн.: Республиканская конференция по методике преподавания и педагогике высшей школы, 1-я. Алма-Ата, 1971. 0,6 печ. л.
Модель относительного полного владения языком. Сообщение II. 31Перенос факторов модели владения первым языком на формируемую модель относительно полного владения вторым языком. - В кн.: Речь; исследование и обучение. Алма-Ата, 1971. 1 печ. л.
О некоторых параллелизмах в изучении художественной и разговорной речи. - В кн.: Теория и практика лингвистического описания иноязычной разговорной речи. Горький, 1972. 0,3 печ. л.
О языковой компетенции человека как объекте педагогического исследования. - В кн.: Актуальные проблемы преподавания иностранных языков и языкознания. Алма-Ата, 1972. 0,2 печ. л.
О высших уровнях языковой компетенции человека. - В кн.: Интеллект и речь. Алма-Ата, 1972. 0,8 печ. л.
Разговорная речь и индивидуальные характеристики личности. - В кн.: Теория и практика лингвистического описания разговорной речи. Сборник четвертый. Горький, 1973. 0,6 печ. л.
Стилистическая интерпретация текста как средство профессионального и художественного развития студента факультета иностранных языков. - В кн.: Профессионально-педагогическая направленность обучения иностранным языкам в вузе. Горький, 1974. 0,4 печ. л.
Роль чтения в профессиональной подготовке учителя иностранного языка. - Иностранные языки в высшей школе, вып. 8. Москва, 1974. 0,5 печ. л.
Структурное представление речевой способности человека. - В кн.: Гомо локвенс. Материалы рабочего совещания по теме “Человек как носитель языка”. Калинин, 1975. 0,8 печ. л.
Стилистическая характеризованность “разговорных” текстов как средство повышения информативности сообщений. - В кн.: Теория и практика лингвистического описания разговорной речи, вып. 6. Горький, 1975. 0,5 печ. л.
Развитие подъязыка разговорной речи в онтогенезе человека. - В кн.: Теория и практика лингвистического описания разговорной речи, вып. 7, часть 1. Горький, 1978. 0,3 печ. л.
Филологическая герменевтика и разговорная речь. - В кн.: Теория и практика лингвистического описания разговорной речи. Республиканский сборник научных трудов. Горький, 1982. 0,5 печ. л.
стр. 91
[ext[ссылка|https://docviewer.yandex.ru/view/0/?page=1&*=Zw%2BAtLnuLBmU3xhA6DD9BDCVg9V7InVybCI6InlhLWRpc2stcHVibGljOi8vWWRKWENQSHNnMjIzU3NWdmhKRHo1WGMra1NHVjRXUlhJM0JYRmlrcXJ6dz0iLCJ0aXRsZSI6IlZpbm9ncmFkb3YgVi5WLiBPIHlhenlrZSB4dWRvemhlc3R2ZW5ub2ogcHJvenkgKE0uLCBOYXVrYSwgMTk4MCkocnUpKFQpKEMpKEspKDYwMGRwaSkoMzYycykucGRmIiwibm9pZnJhbWUiOmZhbHNlLCJ1aWQiOiIwIiwidHMiOjE1ODgyMjgwNDg3NDUsInl1IjoiNjM4NjEzNjU3MTU2OTk5MjMyNCJ9]]
[ext[ссылка 2|https://www.academia.edu/8004121/%D0%92._%D0%92._%D0%92%D0%98%D0%9D%D0%9E%D0%93%D0%A0%D0%90%D0%94%D0%9E%D0%92_%D0%9E_%D0%AF%D0%97%D0%AB%D0%9A%D0%95_%D0%A5%D0%A3%D0%94%D0%9E%D0%96%D0%95%D0%A1%D0%A2%D0%92%D0%95%D0%9D%D0%9D%D0%9E%D0%99_%D0%9F%D0%A0%D0%9E%D0%97%D0%AB_-S_B]]
[[ссылка|http://repository.enu.kz/bitstream/handle/123456789/4246/model'-yazykovoi-lichnosti.pdf]]
[ext[ссылка интернет| https://docplayer.ru/65631322-Model-yazykovoy-lichnosti-g-i-bogina-v-ee-otnoshenii-k-
sovremennosti.html]]
!Модель языковой личности Г.И. Богина в ее отношении к современности
Жумагулова Н.С.
Кокшетауский государственный университет им. Ш.Уалиханова(Казахстан)
Мақала Г.И. Богинның тілдің қатынастың модельдік қорытындысы туралы көзқарасына арналған.Автор өзінің моделін актуалды және уақытылы деп есептейді.The article deals with the analysis of the linguisticpersonality model by G. I. Bogin. The author considers this model to be actual and contemporary.
Последние четверть века лингвистика, социолингвистика, философия, лингводидактика, методика преподавания языков и другие науки активно оперируют понятием «языковая личность». Важную роль в создании теории языковой личности сыграл академик В.В.Виноградов, которыйвпервые использовал и, тем самым, ввел в научный обиход понятие «языковая личность»,открыв категорию «образ автора»[6]. К анализу личности говорящего и пишущего субъекта и производимого ими текста обращались также такие известные учѐные как Г.О. Винокур, Ю.М. Лотман, М.М. Бахтин, Ю.Н.Караулов и др.
Как известно, Г.И. Богин был одним из первых, кто в начале 80-х годов прошлого столетия эксплицитноввел в научную терминологию понятие «языковая личность» и предложил свою модель языковой личности: «Кроме В.В.Виноградова, ... диссертация не имеет прямых предшественников, которые широко разрабатывали бы концепцию языковой личности,...» [3, 2]. Именно Г.И. Богин впервые представил результат и описал процесс развития языковой личности в своей диссертации «Модель языковой личности в ее отношении к разновидностям текстов» [3]. Он выделил текст, воспринимаемый и создаваемый индивидуумом, как главную характеристику языковой личности. Ученый классифицирует языковую личность следующим образом: «предмет настоящего исследования –языковая личность, т.е. субъект речевой деятельности как носитель готовности создавать и принимать произведения речи (тексты)» [там же, 8]. В его дефиниции определена перспектива развития языковой личности в интеллектуальном поле ее деятельности, поскольку человек уже в онтогенезе получает первый опыт создания собственных текстов, а также восприятия и адекватного понимания чужих текстов. В интерпретации Г.И. Богина языковая личность вообще и языковая личность студента в частности, рассматривается как субъект речевой деятельности, т.е. полноправный участник коммуникации, имеющий определенную систему базовых филологических знаний, позволяющих ему кодировать и декодировать тексты различной степени информационной насыщенности и ее языкового воплощения.
Г.И. Богин анализирует языковую личность с учетом ее противоречий: «...способ формирования языковой личности так же противоречив, как и способ ее существования. Источник противоречий –в факте развитияязыковой личности [2, 27-28]. Он не связывает этапы развития языковой личности с возрастным фактором, он исходит из того, что «языковая личность закономерным образом развивается от одного уровня готовности действования с речевым произведением к другому, а также то, что результат этого развития может быть описан в упорядоченной форме» [3, 9]. Г.И. Богин представил единую параметрическую модель всех вообще готовностей человека к производству речевых поступков, преследуя при этом главную цель –исследовать структуру языковой личности, выявить уровни и компоненты этой структуры, выявить отношения, зависимости и функции этих уровней и компонентов, исследовать их генезис. Его диссертация стала отправной точкой в современном исследовании языковой личности.
Ученый тщательно исследует структуру языковой личности, ее компоненты и уровни. Он создает модель языковой личности, формализующей процессы использования языка человеком. В теории языковой личности Г.И. Богина языковая личность выступает в качестве структуры, а язык гарантирует единство структуры языковой личности. При моделировании языковой личности и анализе ее возможных уровней он исходит из того, что уровни языковой личности не совпадают с уровнями моделей языка. Он подчеркивает, что «...делается попытка представить в единой параметрической модели все вообще готовности человека к производству речевых поступков» [2, 3]. И поэтому «...модель языковой личности первоначально должна абстрагироваться не только от индивидуальных различий людей, но и от различия известных им языков, она должна обладать высокой мерой упрощения и инвариантности» [2, 3].
стр. 1
Определить уровни развития языковой личности –одна из задач построения исходной модели языковой личности. Ученый выделяет и детально описывает уровни развития языковой личности, считая, что «...прежде всего надо представить языковую личность полностью, отвлекшись от знания об относительности этой полноты в каждой индивидуальной языковой личности» [3, 15]. Г.И. Богин выделяет 5 уровней развития языковой личности высшего порядка [2, 14].
1Первый уровень –уровень правильности;
2Второй уровень -уровень интериоризации;
3Третий уровень –уровень насыщенности;
4Четвертый уровень –уровень адекватного выбора;
5Пятый уровень –уровень адекватного синтеза.
При описании своей модели языковой личности Г.И. Богин опирается на 3 аксиомы:
1.язык включает фонетическую, лексическую и грамматическую стороны (с соответствующей им семантикой);
2.Пользуясь языком, человек либо говорит, либо слушает, либо пишет, либо читает, либо совмещает эти действия;
3.развитие языковой личности может быть большим или меньшим, лучшим или худшим, и эти различия можно представить в форме дискретных уровней.
Оценивая сегодня, по прошествии 25 лет, вклад ученого в развитие теории языковой личности, можно констатировать, что Г.И. Богин впервые предпринял попытку рассмотрения модели языковой личности в ее отношении к учебной деятельности, направленной на обучение иностранному языку. Спустя годы эта мысль нашла свое отражение и воплощение в международном документе, согласно которому предлагается обучать иностранным языкам в Европейском Сообществе. Этот документ разрабатывался с 1988 по 1996 годы, был принят в 2001 году и получил название «Общеевропейские языковые компетенции» («Common European Framework of Reference» или «Der Gemeinsame Europдische Referenzrahmen»). Он используется сегодня во всех странах ЕС как руководство к составлению учебных пособий, учебников иностранных языков, учебных планов, а также в учебном процессе, при проведении контроля знаний, умений и навыков владения иностранным языком и т.д. Г.И. Богин как практик и теоретик понимал необходимость определения этапов овладения языком –родным и иностранным с тем, чтобы процесс обучения языку был более результативным, а для этого необходимо было определить уровни развития языковой личности. Для моделирования современной языковой личности в учебном дискурсе вуза универсальная модель Г.И. Богина представляет особый интерес.
Определенное значение приобретает сегодня третий раздел диссертации, в которой автор на основе предложенной им модели языковой личности обосновывает возможность разработки понятия «выделение языка как учебного предмета» [2, 26]. Г.И. Богин считает, что понятие «владение языком» является весьма противоречивым и дробным объектом исследования. Собственно, и сегодня нет единого мнения по поводудефиниции этого понятия.
Г.И. Богин подчеркивает, что языковую личность можно исследовать только во взаимодействии с социальной средой, которая стимулирует ее развитие и формирует готовность языковой личности к саморазвитию, познанию и развитию своих способностей. В лингвистике он был одним из первых, кто считал социум мощным фактором, оказывающим значительное влияние на формирование языковой личности, в том числе и через тексты.Модель Г.И. Богина наиболее приемлема для анализа языковой личности современного студента в учебном дискурсе казахстанских вузов –в условиях разнообразных форм многоязычия. Социальная среда современного Казахстана очень разнородна: как известно, социальная среда -это совокупность материальных, экономических, социальных, политических и духовных условий существования, формирования и деятельности лица или семьи. Если политические условия у всех граждан Казахстана одинаковы, то все остальные далеко нет. И мы руководствуемся в нашей работе словами Г.И. Богина: «...нам нужна модель-идеал, своего рода ориентир для улучшения деятельности языковой личности» [3, 7].
Модель языковой личности Г.И. Богина напоминает своеобразный кубик Рубика –в ней сошлись виды речевой деятельности (говорение, аудирование, чтение, письмо), языковые навыки (фонетические, лексические, грамматические) и параметры развития языковой личности, разработанные ученым (правильность, интериоризация, насыщенность, адекватный выбор, адекватный синтез). Тем не менее, ученый называет данную модель языковой личности
стр. 2
упрощенной и подчеркивает: «Вообще языковая личность, взятая в каждом отдельном случае, зависит не только от меры собственного развития, но и от используемого языка, и от множества типов речевых поступков и типов текстов (речевых произведений), которыми оперирует индивид» [2, 11]. «Совокупность наблюдений показывает, что языковая личность, (1) овладев принятыми в обществе высокочастотными средствами прямой номинации, переходит к (2) интериоризации речи, что открывает ей путь к (3) лексико-грамматическому многознанию и, далее, к (4) своеобразной свободе в выборе средств выражения из множества потенциальных субституентов. Достижение этой свободы позволяет развитой языковой личности (5) оперировать целым текстом таким образом, чтобы форма текста оптимально рефлектировалась в содержании, выступала как «содержательная форма»» [2, 9-10].
Положения диссертации Г.И. Богина нашли свое продолжение в трудах других ученых. Так, например, мысль о том, что «...действительная языковая личность, развиваясь от уровня к уровню, приходит к готовности действования не тольков области прямых номинаций элементов объективной реальности. Развитая языковая личность способна передавать и принимать также субъективные реальности, значащие переживания, не обозначая их средствамипрямой номинации» [3, 24] нашла свое продолжение в трудах Ю.Н. Караулова, в его теории прецедентных текстов.
Г.И. Богин приходит к заключению, что «полем реализации инициатив языковой личности, вышедшей на высший уровень своего развития, может бытьтолько целый текст»[3, 38]. Ученый считает, что языковую личность характеризует не только систематика готовностей, но и систематика текстов. Эту мысль ученого подхватил и представил в своем исследовании Ю.Н.Караулов, назвав систематику текстов, которымивладеет языковая личность, прецедентными текстами. Ю.Н.Караулов, продолжая тему, изучает языковую личность на основе анализа речи персонажей текстов: «возможно ли, а если возможно, то как, воссоздав из текстов, принадлежащих данному персонажу в данном литературном произведении, характеристику его языковой личности, прийти в итоге к раскрытию и пониманию всего многосложного художественного образа, в основе которого лежит духовный мир этой личности?» [4, 71].
Г.И. Богин ввел в научный обиход понятие «высокоразвитая языковая личность», которое сегодня активно разрабатывается как «элитарная языковая личность» Так, Г.И. Богин утверждает, что «хотя и на начальных уровнях языковая личность оперирует определенной подсистемой языка, все же именно высший уровень развития языковой личности предполагает свободный выбор подсистем и свободное оперирование ими» [2, 12]. По его мнению, «высокоразвитая языковая личность не только выбирает подъязык и строит или понимает речевое произведение на нем, но и способна строить текст со смешением подъязыков (и их стилей) в той мере, в какой подъязыки допустимы в тексте при общении с людьми, постоянно пользующимися не всеми этими подъязыками» [2, 12]. Таким образом, Г.И. Богин показывает не только упрощенную модель языковойличности, но и описывает параметры языковой личности высшего уровня, а также процесс становления ею. Элитарная языковая личность по Богину реализуется на уровне адекватного синтеза.
Центральное место в теории языковой личности Г.И. Богина занимает текст –как порождаемый, так и воспринимаемый высокоразвитой языковой личностью. При этом он считает необходимым учитывать текст в его соотношении с видами словесности [2, 12]. Одной из важных характеристик высшего уровня развития языковой личности является и выбор видов и подвидов словесности: «даже в пределах одного языка факт существования системы видов словесности создает особые требования к языковой личности» [2, 13].
Свою модель языковой личности Г.И. Богин успешно реализовал в учебном процессе на факультете иностранных языков Кокчетавского пединститута в 70-х годах ХХ века. Диссертация Г.И. Богина дает и сегодня ответы на многие вопросы, имеющие непосредственное отношение к процессу формирования языковой личности, в том числе и при изучении субъектоминостранного языка.
Основная часть диссертации посвящена анализу использования созданной им модели языковой личности «в теории и практике понимания текста»[2, 16]. Ученый подчеркивает, что модель языковой личности является одновременно и моделью развитости готовности к пониманию текстов, т.е. уровни модели языковой личности соотносительны с разными мерами готовности к пониманию –в известной степени –с разными типами понимания текста» [2, 16]. Ученый отмечал, что языковая личность должна овладеть рефлексией для адекватного.
стр. 3
понимания текста. Студента, читателя, необходимо учить распредмечивать текст.
Г.И. Богин предлагает три уровня понимания текста –семантизирующее понимание, когнитивное понимание и распредмечивающее понимание [2, 17]. Охват всех типов ситуаций, представленных в тексте, наличными тремя типами понимания –основа правила принципиальной понятности текста. Знаковые ситуации осваиваются семантизирующим пониманием, объективно-реальностные –распредмечивающим, хотя возможны и переходные случаи [2, 18]. Ученый справедливо считает, что универсализация какого-то одного типа понимания всегда сопряжена с недооценкой других типов.Важной для теории текста, психолингвистики, методики преподавания языков является и мысль ученого о том, что «модель языковой личности служит основанием для построения не только типологии понимания текстов, но и типологии самих текстов по критерию их приспособленности к разным типам понимания» [2, 24]. «В конце ХХ века увеличивается доля художественных и научных текстов, в оптимальном освоении содержательности которых собственно понимание, основанное на рационально протекающих рефлективных техниках, играет значительную роль, часто не уступающую роли нерефлективного смыслового восприятия. Это ставит перед современным реципиентом задачу –учиться рефлексии с целью достижения надежной готовности правильно, глубоко и всесторонне понимать текст» [2, 26].
Сегодня исследования языковой личности продолжаются и с позиций коммуникативной лингвистики, так как в ее характеристики входят коммуникативные стратегии и тактики, регламентирующие приемы речевого воздействия на партнера. Г.И. Богин первый обратил внимание и лингвистов, и психолингвистов, и методистов на процесс развития, формирования и становления языковой личностью студента факультета иностранных языков. Сегодня многие исследователи продолжают развитие этой темы. Г.И. Богин предложил две эмпирические интерпретации модели языковой личности (для деятельности понимания и для деятельности обучения языкам) [2, 29].
Для высокоразвитой языковой личности характерна «риторическая и эстетическая обоснованность использования вида словесности» [2, 13]. Следующая группа характеристик высокоразвитой языковой личности касается текста «в его соотношении с опредмечиваемыми категориями содержания» [2, 13]. При этом «существенны средства выражения, не являющиеся средствами прямой номинации», к которым он относит характеристики личности: мировоззрение, социальный статус, этический, эмоциональный и оценочный аспекты, а также тип характера. Ученый считает, что именно «на высшем уровне развития языковой личности..... появляется сигнализация о человеческой субъективности, невозможная без языкового кода и опредмечиваемая им, но не равная ему» [2, 13].
Г.И. Богин рассматривает текст «в его соотношении с противоположными тенденциями речевой деятельности» [2, 13]. Нельзя не согласиться с тем, что «каждому произведению речи присущи та или иная пропорция или иная мера устойчивости и вариативности этих тенденций» [2,13], а «оптимальное регулирование отношений в каждой паре противоположных тенденций –свойство высокоразвитой языковой личности» [2, 13].
Собственно, в модели языковой личности Г.И. Богина под языковой личностью понимается совокупность познавательных, творческих способностей и характеристик субъекта, обусловливающих создание и восприятие им речевых произведений (текстов), которые различаются степенью структурно-языковой сложности, глубиной и точностью отражения действительности, определѐнной целевой направленностью. Именно от способностей говорящего зависят особенности создаваемых им текстов.
В Казахстане, полиэтническом государстве, в котором проживает более 100 национальностей и функционирует множество языков, имеющих различный статус, проблема исследования языковой личности либо различных типов языковой личности является как никогда актуальной. Языковая личность современного студента казахстанских вузов достаточно противоречива Казахстанское языковое сообщество весьма разнородно -оно складывается из сообществ больших и малых городов, областей, регионов, поселков и т.д. Одним из разновидностей городского сообщества является сообщество вуза. В учебном дискурсе соединяются языковые личности разных уровней развития и различной степени развития, хотя это выпускники единой системы образования.
Работа Г.И.Богина является для нас базовым исследованием, позволяющим продолжить работу, начатую им, с целью изучения и определения особенностей современной языковой личности в учебном дискурсе казахстанских вузов на примере КГУ им. Ш. Уалиханова.
стр. 4
Литература
1.Виноградов В.В. О языке художественной прозы: избранные труды. –М.: Наука, 1980. –С. 56-175.
2.Богин Г.И. Модель языковой личности в ее отношении к разновидностям текстов: Автореф. дис... докт. филол. наук. –Ленинград, 1984. –С. 31.
3.Богин Г.И. Модель языковой личности в ее отношении к разновидностям текстов: Дис... докт. филол. наук. –Ленинград, 1984.
4.Караулов Ю.Н. Русский язык и языковая личность. Изд.3-е, стереотипное. –M.: Едиториал, 2003. –С. 264
[ext[ссылка|https://docviewer.yandex.ru/view/44297129/?page=1&*=XZyUZega328x585eNVI%2FmGQwPel7InVybCI6Imh0dHBzOi8vc2liYWMuaW5mby9zaXRlcy9kZWZhdWx0L2ZpbGVzL2ltYWdlcy9tb25vZ3JhZnkvTW9ub19CZXJkbmlrb3ZhX25ld192ZWtfbGluZ19pbnRlcnByZXRhY2l5LnBkZiIsInRpdGxlIjoiTW9ub19CZXJkbmlrb3ZhX25ld192ZWtfbGluZ19pbnRlcnByZXRhY2l5LnBkZiIsIm5vaWZyYW1lIjp0cnVlLCJ1aWQiOiI0NDI5NzEyOSIsInRzIjoxNTgyODI3Mjk3MjQxLCJ5dSI6IjYzODYxMzY1NzE1Njk5OTIzMjQiLCJzZXJwUGFyYW1zIjoibGFuZz1ydSZ0bT0xNTgyODI3MTkwJnRsZD1ydSZuYW1lPU1vbm9fQmVyZG5pa292YV9uZXdfdmVrX2xpbmdfaW50ZXJwcmV0YWNpeS5wZGYmdGV4dD0lRDAlQTQlRDAlQkUlRDElODAlRDAlQkMlRDAlQjglRDElODAlRDAlQkUlRDAlQjIlRDAlQjAlRDAlQkQlRDAlQjglRDAlQjUrJUQxJThGJUQwJUI3JUQxJThCJUQwJUJBJUQwJUJFJUQwJUIyJUQwJUJFJUQwJUI5KyVEMCVCQiVEMCVCOCVEMSU4NyVEMCVCRCVEMCVCRSVEMSU4MSVEMSU4MiVEMCVCOCUzQSslRDElODElRDAlQkUlRDElODYlRDAlQjglRDAlQjAlRDAlQkIlRDElOEMlRDAlQkQlRDAlQkUtJUQxJTg0JUQwJUI4JUQwJUJCJUQwJUJFJUQxJTgxJUQwJUJFJUQxJTg0JUQxJTgxJUQwJUJBJUQwJUI4JUQwJUI5KyVEMCVCMCVEMSU4MSVEMCVCRiVEMCVCNSVEMCVCQSVEMSU4MiVEMSU4QislRDAlOTgrJUQwJTk4JUQwJTlEJUQwJUEyJUQwJTk1JUQwJUEwJUQwJTlGJUQwJUEwJUQwJTk1JUQwJUEyJUQwJTkwJUQwJUE2JUQwJTk4JUQwJTk4KyVEMCVBMiVEMCU5NSVEMCVBMCVEMCU5QyVEMCU5OCVEMCU5RCVEMCU5MCZ1cmw9aHR0cHMlM0EvL3NpYmFjLmluZm8vc2l0ZXMvZGVmYXVsdC9maWxlcy9pbWFnZXMvbW9ub2dyYWZ5L01vbm9fQmVyZG5pa292YV9uZXdfdmVrX2xpbmdfaW50ZXJwcmV0YWNpeS5wZGYmbHI9MTkzJm1pbWU9cGRmJmwxMG49cnUmc2lnbj0wZjBhZDNiOGUxNjU3MzQ3Yzc1NDAyMWZjMTNjMWM0OSZrZXlubz0wIn0%3D&lang=ru]]
[ext[ссылка|https://elibrary.ru/item.asp?id=26768446]]
Зайнуллина Л.М., Уфа (Россия)
ЯЗЫКОВАЯ ЛИЧНОСТЬ КАК НОСИТЕЛЬ ЯЗЫКОВОГО СОЗНАНИЯ
Проблемы изучения языкового сознания и коммуникативного поведения привлекают к себе внимание многих современных языковедов. Это объясняется “потребностями общества оптимизировать общение в меняющемся мире в условиях информационного взрыва, вторжения виртуальной реальности в нашу жизнь, умножения межкультурных контактов, изменения стереотипов восприятия действительности” [Карасик, 2009, с. 5].
Основными характеристиками сознания являются: а) субъективность сознания: фундаментальное свойство процессов сознания непосредственно открываться (репрезентироваться) субъекту; б) закрытость сознания для других: факты сознания могут открываться непосредственно тому, кому они даны и никому больше; качества ощущений, образов, переживаний - уникальны; в) единство сознания: при всем многообразии содержания сознания (образы непосредственно окружающего мира, образы-воспоминания, эмоциональные переживания, предчувствия, мысли, идеи и т.д.) оно осознается как единое целое сознания индивида в определенное время; г) интенциональность сознания: в нем всегда сосуществует объект сознания в трех ипостасях: представление объекта в форме образа, суждение о нем как истинном или ложном и его эмоциональная оценка как желаемого или отвергаемого [Никитина, 2006, с. 121-123].
Носителем языкового сознания является языковая личность, т.е. человек, существующий в языковом пространстве – в общении, стереотипах поведения, зафиксированных в языке, в значениях языковых единиц и смыслах текстов [Зинченко и др., 2008, с. 157]. Изучение языковой личности в отечественной лингвистике по праву связано с именем Ю.Н. Караулова, который под языковой личностью понимает «совокупность способностей и характеристик человека, обусловливающих создание им речевых произведений (текстов)» [Караулов, 2002, с. 34].
Придавая значение вещам, ситуациям, человек вводит их в ценностно-смысловое поле уже сложившегося этнокультурного сознания, таким образом, совершенствуя и упорядочивая его. Однако, достигнутый порядок существует до тех пор, пока познающий и неутомимый разум не ощутит потребность в означивании новых объектов и явлений. С этой целью старые знаки не устраняются, а наоборот, актуализируются, выводятся из глубины на поверхность сознания, чтобы в лингвокреативном процессе мышления стать основой порождения знаков вторичной номинации. Тем самым, совершенствуя свое сознание, человек как бы раздвигает границы мировосприятия [Алефиренко, 2005, с. 75].
Языковое сознание рассматривается как «вербально оформленное отражение действительности в сознании, как вербализованная форма существования когнитивного сознания человека разумного, человека говорящего, человека общающегося, человека как социального существа, как личности». Господствующий типкультуры «формирует тип сознания людей, которые родились и живут в рамках этой культуры»; в то же время, сознание, «выражая себя вербально, также принимает на себя языковые воздействия» [Стернин, 2007]. Известное выражение К.Маркса «Язык так же древен, как и сознание», вероятно, необходимо понимать в том смысле, что язык и сознание представляют два необходимых условия существования общества. Общественное сознание не могло бы возникнуть без языка, поскольку «опыт познания мира отдельными индивидами может превратиться в коллективный опыт только при посредстве языка» [Алефиренко, 2005, с. 127].
Сознание имеет следующие аспекты (содержание): 1) способность к целеполаганию; 2) свободное движение мысли по оси «прошлое-настоящее-будущее»; 3) орудием психической деятельности человека является язык, который способен описать внешние объективные свойства вещей, независимо от их отношения к человеку. Высшим выражением сознания является самосознание, имеющее коммуникативную природу, т.к. оно
136
формируется не только в процессе общения с другими людьми, но и в результате прямых и косвенных оценокличности со стороны окружающих [Маслова, 2007].
Очень важным для углубления представления о соотношения языка и культуры является разграничение понятий «когнитивное сознание» и «языковое сознание». Если первое включает в свой состав, как правило,результаты когниции, второе, кроме мыслительных, интегрирует в себе и другие формы отражения окружающего мира – эмоциональные, эстетические, экспрессивно-оценочные и т.п. Представляется, что взаимодействие языка и культуры имеет когнитивное основание, которым является взаимодействие процессовк онцептуализации и вербализации, а также соотношение концептуальных языковых и неязыковых репрезентаций [Алефиренко, 2005, с. 279].
Центральным системообразующим звеном коммуникативного процесса является языковая личность (ЯЛ). В межкультурной коммуникации ЯЛ определяется как национально-специфический тип коммуниканта, обладающий культурно обусловленной ментальностью, придерживающийся определенных языковых, поведенческих и ценностных подходов и стандартов и потенциально способный к межкультурной трансформации [Тхорик, 2006, с. 112].
В содержание языковой личности обычно включаются такие компоненты:
а) ценностный (мировоззренческий) компонент содержания воспитания, т.е. система ценностей или жизненных смыслов. Язык обеспечивает первоначальный и глубинный взгляд на мир, образует тот языковой образ мира и иерархию духовных представлений, которые лежат в основе формирования национального характера и реализуются в процессе общения;
б) культурологический компонент, т.е. уровень усвоения культуры как эффективного средства повышения интереса к языку. Привлечение фактов культуры изучаемого языка способствует формированию навыков адекватного употребления и эффективного воздействия на партнера по коммуникации;
в) личностный компонент, т.е. нечто индивидуальное, глубинное, что есть в каждом человеке.
В.И.Карасик считает, что в структуре языковой личности особое место принадлежит ценностям как наиболее фундаментальным характеристикам культуры. Духовные ценности, вбирающие сущность «национальной аксиологии, фокусируются в национальной модели мира языковой личности, в системе вербализованных представлений-оценок относительно собственного «я», а также объектов и явлений окружающего мира» [Карасик, 2009, с. 47].
В межкультурной коммуникации, основанной на единстве изучения языков и культур, системный характер языковой личности проявляется в полной мере. Овладение лишь вербально-семантическим уровнем любого языка является недостаточным. Языковая личность диалогична, поскольку проявляется на пересечении сознаний и культур. Системно-динамический подход к коммуникации позволяет говорить о многоаспектности языковой личности и признании необходимости учета различных параметров взаимодействия и взаимовлияния языка, культуры и коммуникации.
Библиографический список
1.Алефиренко, Н.Ф. Современные проблемы науки о языке [Текст] / Н.Ф. Алефиренко. – М. : Флинта; Наука, 2005.
2.Зайнуллина, Л.М. Общие проблемы лингвокультурологии [Текст] / Л.М. Зайнуллина. – Уфа : РИЦ БашГУ, 2008.
3.Зинченко, В.Г., Зусман В.Г., Кирнозе З.И.Межкультурная коммуникация: от системного подхода ксинергетической парадигме [Текст] / В.Г. Зинченко, В.Г. Зусман, З.И. Кирнозе. – М. : Флинта; Наука, 2008.
4.Карасик, В.И. Языковые ключи [Текст] / В.И. Карасик. – М. : Гнозис, 2009.
5.Караулов, Ю.Н. Русский язык и языковая личность [Текст] / Ю.Н. Караулов. – М. : УРСС, 2002. – Изд.2-е.
6.Маслова, В.А. Homo lingualisв культуре [Текст] / В.А. Маслова. – М. : Гнозис, 2007.
7.Никитина, Е.С. Семиотика: Курс лекций [Текст] / Е.С. Никитина. – М. : Академический Проект; Трикста, 2006.
8.Привалова, И.В. Интеркультура и вербальный знак (лингвокогнитивные основы межкультурной коммуникации) [Текст] / И.В. Привалова. – М. : Гнозис, 2005.
9.Cтернин, И.А. Контрастивная лингвистика: Проблемы теории и методики исследования [Текст] / И.А. Стернин. – М. : АСТ: Восток-Запад, 2007.
10. Тхорик, В.И. Лингвокультурология и межкультурная коммуникация [Текст] / В.И. Тхорик, Н.Ю. Фанян. – М. : ГИС, 2006.
farkhad_m60@mail.r
137
*[ext[Языковая личность, текст и дискурс: Методологические аспекты|http://puzyrev-a-v.ru/?q=content/%D1%8F%D0%B7%D1%8B%D0%BA%D0%BE%D0%B2%D0%B0%D1%8F-%D0%BB%D0%B8%D1%87%D0%BD%D0%BE%D1%81%D1%82%D1%8C-%D1%82%D0%B5%D0%BA%D1%81%D1%82-%D0%B8-%D0%B4%D0%B8%D1%81%D0%BA%D1%83%D1%80%D1%81-%D0%BC%D0%B5%D1%82%D0%BE%D0%B4%D0%BE%D0%BB%D0%BE%D0%B3%D0%B8%D1%87%D0%B5%D1%81%D0%BA%D0%B8%D0%B5-%D0%B0%D1%81%D0%BF%D0%B5%D0%BA%D1%82%D1%8B]]
Сборник статей «Языковая личность: аспекты изучения» посвящён памяти выдающегося советского и российского лингвиста, члена-корреспондента Российской академии наук Юрия Николаевича Караулова ( ), учёного, чьи труды во многом повлияли на современное языкознание, прежде всего на такие его направления, как лексикография, компьютерная лингвистика, когнитивная лингвистика, психолингвистика, в прикладном аспекте лингводидактика и др. В книге представлены работы учеников, коллег и последователей Юрия Николаевича из Москвы, Санкт- Петербурга, Екатеринбурга, Новосибирска, Кемерово, Тамбова, Орла, Мадрида. Ю. Н. Караулов известен в основном как создатель концепции языковой личности. Именно возможности изучения языковой личности через ассоциативный эксперимент (построение ассоциативного поля), посредством анализа речи персонажа литературного произведения и путём конструирования словарей различного типа отражены в тематике предлагаемых в сборнике статей. Отдельные работы направлены на рассмотрение возможностей применения концепции Ю. Н. Караулова в практике преподавания русского языка как родного и как иностранного. Сборник статей «Языковая личность: аспекты изучения» предназначен для всех, кто интересуется вопросами современного языкознания, в первую очередь такими его направлениями, как лексикография и психолингвистика.
[ext[ссылка|https://docplayer.ru/53236061-Yazykovaya-lichnost-aspekty-izucheniya.html]]
[ext[ссылка|http://ruslang.ru/node/1396]]
Всего начиная 1997 года по настоящее время защищено 32 диссертации из них 5 докторских, следует отметить , что 10 диссертаций посвещено вопросам средней школы и дошкольного образования, а 22 диссертации вопросам использования концепта языковая личность в высшей школе. Остановимся подробнее на второй группе.
По научным специальностям диссертации распределяются следующим образом:
* общая педагогика, история педагогики и образования (шифр 13.00.01) - 5 диссертаций;
* теория и методика обучения и воспитания (шифр 13.00.02) - 11 диссертаций;
* теория и методика профессионального образования (шифр 13.00.08) -4 диссертации.
Еще две диссертации 1997 года проходили по специальности 13.00.06 теория и методика воспитания. Которая в действующей номенклатуре отсутствует, но в принципе могут быть отнесены к специальности 13.00.02.
Анализ первой группы 13.00.01 показывает , что диссертация на соискание ученой степени доктора педагогических наук Григорьевой-Голубевой В.А. ''Становление гуманистических ценностей педагога (в аспекте языковой личности)'' и кандидатские диссертации Ивановой Г.А. ''Педагогические основы формирования языковой личности посредством культуры иноязычного чтения''; Емельяновой З.В.'' Формирование интерактивной компетенции языковой личности при обучении иностранным языкам в неязыковом вузе''; Птицыной И.Ф. Педагогические условия формирования межкультурной компетенции вторичной языковой личности студентов (на материале изучения японского языка и культуры) в основном формированию либо языковой личности, либо отдельных её компонент. Можно выделить диссертацию Ивановой Г.А.
*[ext[Языковая личность: проблемы осознания ее сущности и современная лингвистическая интерпретация|https://docviewer.yandex.ru/view/0/?page=1&*=wd4g3Oyb%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%2F0YDQtdGC0LDRhtC40LgucGRmIiwibm9pZnJhbWUiOnRydWUsInVpZCI6IjAiLCJ0cyI6MTU4OTYwOTkyMDM2OSwieXUiOiI2Mzg2MTM2NTcxNTY5OTkyMzI0Iiwic2VycFBhcmFtcyI6Imxhbmc9cnUmdG09MTU4OTYwOTg1MSZ0bGQ9cnUmbmFtZT0lRDAlOUQlRDAlQjglRDAlQkElRDAlQjglRDElODIlRDAlQjglRDAlQkQlRDAlQjBfJUQwJUFGJUQwJUI3JUQxJThCJUQwJUJBJUQwJUJFJUQwJUIyJUQwJUIwJUQxJThGKyVEMCVCQiVEMCVCOCVEMSU4NyVEMCVCRCVEMCVCRSVEMSU4MSVEMSU4MiVEMSU4QyslRDAlQjgrJUQwJUJGJUQxJTgwJUQwJUJFJUQwJUIxJUQwJUJCJUQwJUI1JUQwJUJDJUQxJThCKyVEMCVCNSVEMCVCNSslRDAlQjglRDAlQkQlRDElODIlRDAlQjUlRDElODAlRDAlQkYlRDElODAlRDAlQjUlRDElODIlRDAlQjAlRDElODYlRDAlQjglRDAlQjgucGRmJnRleHQ9JUQwJUFGJUQwJUI3JUQxJThCJUQwJUJBJUQwJUJFJUQwJUIyJUQwJUIwJUQxJThGKyVEMCVCQiVEMCVCOCVEMSU4NyVEMCVCRCVEMCVCRSVEMSU4MSVEMSU4MiVEMSU4QyslRDAlQjgrJUQwJUJCJUQwJUI4JUQwJUJEJUQwJUIzJUQwJUIyJUQwJUI4JUQxJTgxJUQxJTgyJUQwJUI4JUQxJTg3JUQwJUI1JUQxJTgxJUQwJUJBJUQwJUI4JUQwJUI1KyVEMCVCOCVEMCVCRCVEMSU4MiVEMCVCNSVEMSU4MCVEMCVCRiVEMSU4MCVEMCVCNSVEMSU4MiVEMCVCMCVEMSU4NiVEMCVCOCVEMCVCOCZ1cmw9aHR0cHMlM0EvL2VsaWIuYnNwdS5ieS9iaXRzdHJlYW0vZG9jLzYxNDQvMS8lMjVEMCUyNTlEJTI1RDAlMjVCOCUyNUQwJTI1QkElMjVEMCUyNUI4JTI1RDElMjU4MiUyNUQwJTI1QjglMjVEMCUyNUJEJTI1RDAlMjVCMF8lMjVEMCUyNUFGJTI1RDAlMjVCNyUyNUQxJTI1OEIlMjVEMCUyNUJBJTI1RDAlMjVCRSUyNUQwJTI1QjIlMjVEMCUyNUIwJTI1RDElMjU4RiUyNTIwJTI1RDAlMjVCQiUyNUQwJTI1QjglMjVEMSUyNTg3JTI1RDAlMjVCRCUyNUQwJTI1QkUlMjVEMSUyNTgxJTI1RDElMjU4MiUyNUQxJTI1OEMlMjUyMCUyNUQwJTI1QjglMjUyMCUyNUQwJTI1QkYlMjVEMSUyNTgwJTI1RDAlMjVCRSUyNUQwJTI1QjElMjVEMCUyNUJCJTI1RDAlMjVCNSUyNUQwJTI1QkMlMjVEMSUyNThCJTI1MjAlMjVEMCUyNUI1JTI1RDAlMjVCNSUyNTIwJTI1RDAlMjVCOCUyNUQwJTI1QkQlMjVEMSUyNTgyJTI1RDAlMjVCNSUyNUQxJTI1ODAlMjVEMCUyNUJGJTI1RDElMjU4MCUyNUQwJTI1QjUlMjVEMSUyNTgyJTI1RDAlMjVCMCUyNUQxJTI1ODYlMjVEMCUyNUI4JTI1RDAlMjVCOC5wZGYmbHI9MTkzJm1pbWU9cGRmJmwxMG49cnUmc2lnbj03YzA3OGYwZTkwOWNiOTFhMTIwMTk3NDgzNjA2NjVlMCZrZXlubz0wIn0%3D&lang=ru]]
[[Термины]] [[Я]]
ЯЗЫКОВАЯ МОДЕЛЬ. Языковое образование, состоящее из постоянных элементов, объединенных закономерной связью, которые могут быть выражены символами. Ср. Речевой образец. См. Также
модель предложения.
[[Азимов Э. Г., Щукин А. Н. Новый словарь методических терминов и понятий]]
!!ЯЗЫКОВАЯ ПРОФЕССИОНАЛЬНАЯ ЛИЧНОСТЬ
Филологические науки. Вопросы теории и практики
Тамбов: Грамота, 2013. № 12 (30): в 2-х ч. Ч. I. C. 150-157.
[ext[ссылка|el_miskin.pdf]]
[ext[ссылка Internet|http://www.gramota.net/materials/2/2013/12-1/43.html]]
Переключение с общеупотребительных языковых средств на профессиональный язык подразумевает не только знание специальной терминологии, но и умение распознать адекватную ситуацию и применить эти знания с учетом ситуативного контек-
ста. В связи с этим А. Блументаль отмечал, что для оперирования с предложением существенна не столько
синтаксическая, сколько семантическая функция слова, являющегося компонентом предложения [62]. Други-
ми словами, необходимо перевести обыденность на профессиональный язык, переформулировать существую-
щий смысл в специальных терминах. Происходит так называемое переопределение ситуации из обще-
репрезентативной формы в индивидуально предпочитаемую, профессиональную [67]. Именно такая транс-
формация повседневности посредством профессиональных языковых паттернов суть понимания специалистом
профессиональной реальности. В связи с этим, наряду с восприятием профессионального дискурса, мы вводим
в определение языковой профессиональной личности понятие субдискурсивное оперирование, подразумеваю-
щее сознательную трансформацию субъектом обыденной реальности посредством профессиональных текстов
в соответствии с актуальными потребностями ситуации профессионально-коммуникативного взаимодействия.
Вместе с тем профессионализация человека невозможна без овладения специальными языком и речью,
как основными регуляторами профессиональной деятельности. Еще Л. С. Выготский отмечал что, лишь бу-
дучи усвоенным, язык становится частью личности и может проявить свою сущность как часть деятельно-
сти [20]. Следовательно, выполнить профессиональную деятельность можно стать, лишь усвоив специаль-
ный язык. В. А. Мижериков и М. Н. Ермоленко характеризуют профессию как вид деятельности, являющий-
ся источником существования и требующий наличия определенных знаний, умений и навыков [41; 46]. Со-
ответственно, в профессиональной деятельности речь идет не о лексиконе, а только о тезаурусе языковой
личности, характеризующем человека как профессионала со стороны языка. Причем здесь рассматривается
не сколько степень владения языковыми знаниями и умениями, а, скорее, как основанная на приобретенных
профессиональных знаниях, интеллектуальном опыте, ценностях и наклонностях, способность оречевлять и
самостоятельно реализовывать профессиональную деятельность. Такая характеристика отражает языковую
профессиональную компетентность (компетенцию) субъекта, его ''речевой портрет'', который является важнейшей характеристикой профессиональных качеств личности [32].
[[Мыскин 2]]
[[Термины]] [[Я]]
ЯЗЫКОВАЯ СРЕДА. Исторически сложившееся объединение людей на основе общего языка и культуры, проживающих на определенной территории. С лингводидактической точки зрения можно говорить о Я. с. как окружении, в котором происходит изучение языка. Может быть естественной (обучение организуется в условиях иноязычной Я. С.) и искусственной (создается с помощью различных средств обучения в условиях ее отсутствия с целью воссоздания Я. с.). Естественная Я. с. является важным фактором успешного овладения иностранным языком, прежде всего в области устного общения, и формирования коммуникативной компетенции. По этой причине программы языковых вузов предусматривают стажировку учащихся в стране изучаемого языка различной продолжительности (см. Включённое обучение). Предпринимались попытки классификации объективных факторов, воздействующих на личность в иноязычной среде и способствующие овладению языком в новой для учащихся среде. К числу таких факторов относятся: видеоряд (включает явления окружающего мира в виде зрительных образов); аудиоряд (воспринимаемая учащимся на слух информация); ситуативный ряд (речевые ситуации, стереотипы социального общения и межкультурного языкового контакта); национально маркированные фоновые знания; обучающая стихия языка.
[[Азимов Э. Г., Щукин А. Н. Новый словарь методических терминов и понятий]]
Языковое сознание и самосознание личности в народной культуре
[ext[ссылка|http://culturolog.ru/index2.php?option=com_content&task=view&id=3537&pop=1&page=0&Itemid=8]]
Автор С.Е. Никитина
Мы выражаем себя в языке. "Мы" — это не только каждый из нас в отдельности, но и все вместе, т.е. множество, составляющее народ. И устная речь тут имеет определенное преимущество перед письменной — она более живая, а потому более чуткая. Автор занимается разработкой понятия языкового сознания на материале фольклора.
Начнем с вопроса: создает ли рожденное В.В. Виноградовым, почившее в эпоху "бесчеловечной” лингвистики и воскресшее ныне понятие языковой личности новую проблематику в лингвистике или только переформулирует старую? Книга Ю.Н. Караулова[1] заставляет, пожалуй, утвердительно ответить на первую часть предложенной альтернативы. А может быть, такая постановка вопроса не совсем правомерна, и надо говорить о том, как переструктурируется, переакцентируется множество уже известных проблем, соединенных в единое целое понятием языковой личности?
Как известно из психологии, главным признаком личности является наличие сознания и самосознания. Тогда главным признаком языковой личности является наличие языкового сознания и языкового самосознания.
Понятие языкового сознания весьма неопределенно. Его сближают с такими понятиями как языковая картина мира, стратегия и тактика речевого поведения. В любом случае языковое сознание реализуется в речевом поведении. Поэтому, говоря о языковом сознании личности, мы должны иметь в виду те особенности речевого поведения индивидуума, которые определяются коммуникативной ситуацией, его языковым и культурным статусом, социальной принадлежностью, полом,' возрастом, психическим типом, мировоззрением, особенностями биографии и другими константными и переменными параметрами личности. Одним из способов представления языкового сознания является тезаурус.
В выборе языковых средств и в процессах понимания текста участвуют как бессознательные механизмы, так и осознанные действия[2]. Граница между осознанным и неосознанным индивидуальна и ситуативно обусловлена. Личность, как правило, осознает лишь небольшую часть своего языкового поведения.
Будем употреблять термины "осознание” и "самосознание” как синонимы. Действительно, осознание своего языкового поведения и есть самосознание. Правда, осознавать можно не только свое, но и чужое языковое поведение (например, оценивать). Однако и в том и в другом случае мы подразумеваем способность квалифицировать и интерпретировать элементы языкового сознания. Заметим, что этим же занимается лингвистика, содержанием которой является научное осознание и описание языкового сознания. Языковое же самосознание рядовых носителей языка получило название "народного языкознания”[3].
Языковое самосознание можно считать частью языкового сознания, его верхним автономным слоем. Если объектом языкового сознания является весь универсум, то объектом языкового самосознания является язык в целом и его отдельные элементы, языковое поведение и его продукт — тексты. Как мы уже отметили, языковое сознание реализуется в вербальном поведении. Способы же реализации языкового самосознания могут быть разными — вербальными и невербальными. Именно в первом случае мы говорим о метаязыковой функции языка. Однако осознание может выражаться и невербальными способами. Так, определенные языковые выражения люди квалифицируют как ругательства и реагируют на них поведением, далеко не всегда вербальным (например, брезгливым или возмущенным взглядом, жестом и т.д.).
Языковое самосознание является частью культурного самосознания. Между осознанием элементов языка и других элементов культуры нет четко выраженной границы. Достаточно напомнить, что в переломные исторические эпохи родной язык становится символом национального самосознания. Существенно также, что осознание элементов языка или языковой структуры текстов совершается теми средствами и идет по тем путям, которые предоставляет личности культура.
Обратимся теперь к рассмотрению вопросов, связанных с языковой личностью в русской народной культуре. Мы будем говорить о личности в традиционной крестьянской культуре и укажем такие ее свойства, которые отложились в языке, сказались на ее речевом поведении, т.е. проявились в языковом сознании и самосознании. Главное — это невыделенность личности из социума, обусловленная прежде всего традиционным образом жизни, т.е. воспроизведением опыта предшествующих поколений без существенных изменений, одинаковостью занятий, подчинением миру — общине, регла-ментировавшей практически все проявления личной жизни, коллективными производственными и этическими традициями. Деревня могла ощущать себя единым целым, происходящим от одного родоначальника. Об этом часто говорят названия деревень. Так, старообрядческие поселения в Верхокамье сплошь носят производные названия от собственных мужских имен (форманты онки/енки, ата/ята, ы): Степанёнки, Абрамёнки, Евтёнки, Киршонки, Абросята, Нифонята, Андронята, Трошата, Егоры, Макары, Сидоры. Замечательно, что эта древняя патронимическая идея отражается не только в названиях, но и в синтаксических оборотах, их включающих: — Где была? — У Карпушат. — Куда сходила? — К Евтёнкам).
Глубокую зависимость личности от социума создавали, сохраняли и укрепляли· коллективные представления и коллективные тексты, их выражающие. Коллективные тексты участвовали в организации жизненного и годового циклов, давали людям веками отработанные формы и способы регулирования поведения человека во время тяжелых эмоциональных потрясений (например, похоронные плачи). Коллективные фольклорные тексты были достоянием каждого члена традиционного социума. В особом взаимоотношении человека и текстов в народной культуре кроется существенное отличие традиционного крестьянина от современного горожанина. На языковом уровне это проявляется в специфическом взаимодействии в языковом сознании и речевом поведении двух стилей, или языков — диалекта (соответственно, диалектной речи) и языка фольклора (соответственно, фольклорных текстов). Горожанин, не писатель и не поэт, знающий художественную литературу, сознательно отделяет свою речь от авторских художественных текстов. Цитируя — точно или приблизительно, трансформируя первоначальный текст художественного произведения, он осознает грань между своим (бытовым или даже художественным) и чужим авторским текстом.
Носители народной культуры этой грани так резко не ощущают, и перетекание фольклорной речи в бытовую и обратно — естественное явление. Особенно это касается малых жанров — пословиц и поговорок, которые по природе своей — ничьи и являются достоянием всего общества (не только носителей традиционного фольклора). Фольклорные произведения — песни, сказки, былины — также ничьи и одновременно принадлежат всем, кто их исполняет и является сотворцом. Эти произведения — творения одного удивительного автора, чьи бесчисленные произведения существуют в бесконечном количестве вариантов и множестве диалектных разновидностей. Этот автор — коллективная языковая личность, фольклорный социум, субъект, творящий свое мироздание, свою эстетику, свою аксиологию, свой поэтический язык и свои коллективные культурные тексты. Последнее обстоятельство — производство коллективных текстов, коллективное авторство представляется нам весьма существенным. Этот признак отделяет коллективную языковую личность от языкового коллектива. Языковой коллектив — таким, например, является деревенский социум — объединен общностью диалекта и ценностной картины мира, запечатленной в общем тезаурусе. Однако существенный признак коллективной языковой личности — производство общих текстов — присутствует здесь спорадически. Так, всем "миром” деревня может сочинять письма, жалобы, соборные постановления (у старообрядцев). Бытовые же тексты, как правило, индивидуальны.
Можно предположить, что во времена складывания основных традиционных фольклорных жанров фольклорная коллективная языковая личность и бытовой языковой коллектив по мироощущению, системе ценностей, а также по языку были близки друг другу (как известно, язык русского фольклора хранит множество древнерусских элементов на всех уровнях). Это значит, что близки были и тезаурусы, содержащие регулярные семантические связи между словами и понятиями, посредством которых фиксировалась языковая "картина мира”, т.е. существенная часть языкового сознания. Время, изменения в укладе, натиск цивилизации неуклонно разводили их. Разрушалась община, "мир”, переставал быть непререкаемым судьей, менялся лексикон крестьянина и даже его синтаксис.
Фольклор реагировал на это возникновнием новых форм (например, частушек, где диалект и фольклорный язык образуют своеобразную смесь или привлечением в фольклорный обиход городского романса, в котором ценностная картина мира и стилистика иные, чем в традиционном фольклоре). Происходили изменения в соответствующих тезаурусах.
Глубинная связь между двумя тезаурусами — бытовым и фольклорным — осуществлялась и осуществляется в тех представителях народной культуры, которые владеют фольклорным богатством. Думается, что одной из главных задач в исследовании языкового сознания в народной культуре является параллельное составление словарей тезаурусного типа как отдельной личности[4], так и целого сообщества (деревни, например), как для говора, так и для языка фольклора.
Как известно, народная культура — преимущественно устная. Тезаурусы фольклорной и бытовой речи относятся к сфере устной коммуникации. Но издавна существовал стиль, реализовавшийся в письменной форме, которым однако, владели и грамотные и неграмотные — это эпистолярный стиль. Деревенские письма — любимая тема в русской литературе, но кто из лингвистов изучал их как определенный стилистический пласт в народной культуре?
Кроме того, существует такой тип народной культуры, где письменный книжный язык и соответствующие тексты являются для этой культуры, наряду с устными, ее полноправными формами. Это культура русского старообрядчества, более трех веков культивировавшего старую книгу.
Традиционные книжные христианские тексты, жившие в народной среде, формировали стиль мышления старообрядца, обусловливав выбор языковых средств для выражения определенного круга идей. К бытовому и фольклорному тезаурусам присоединялся еще и тезаурус книжной письменной культуры. Одно и то же слово в разных тезаурусах попадает в разные семантические поля. Так, слово корабль в бытовом языке попадает в поле средств передвижения и связано прежде всего со словами лодка, пароход, море, океан и т.д. В языке фольклора слово корабль связывается прежде всего со свадебной темой и такими словами, как невеста, корабельщики, перевоз, матушка и т.д., в книжной культуре и духовных стихах ко-рабль выступает прежде всего как символ церкви.
Книжная форма культуры определяла во многом речевое поведение личности. Люди, грамотные ”по-церковному’ т.е. знающие церковнославянский язык, могут в разговоре легко переходить от бытового диалектного языка в церковнославянскому, перемежая просторечие цитатами из поучений отцов церкви, т.е. обращаясь к прецедентным текстам. Письменные тексты старообрядцев — полемические сочинения, описания истории своего согласия, соборные постановления — ориентированы на книжные образцы, однако обильно включают и элементы диалектной речи[5]. Большой интерес представляют тексты старообрядческих писем: здесь смешение книжного стиля и разговорного языка особенно очевидно, например, Поздравляем с прошедшим праздником Пасхой Христовой и купно поздравляем вас всех праздником весны 1-ым Маем [6]. Стиль писем определяется интенциями отправителя и представлением об адресате. Так, в письмах, направленных сотрудникам Археографической группы МГУ, людям, знающим церковнославянскую грамоту и книги и все-таки "чужим” по культуре, стиль, особенно в начале письма, может быть торжественно-дидактическим: Благодарственно воздаем богу, и оттого нам бывает веселее, ибо мы так научены родителями и традиции их неизменно хочется соблюсти. Жалких и дорогих девочек приглашают отдохнуть от многосуетного московского мятежа. Но при самом ярко выраженном в тексте чувстве собственного достоинства письма обычно кончаются этикетной уничижительной формулой: не осудите меня грешную за письмо мое маломольное.
До сих пор мы говорили о проблеме языкового сознания в народной культуре. Остановимся теперь на вопросах, связанных с самосознанием.
Народное языкознание стало предметом самостоятельного исследования около двух десятилетий назад. Количество публикаций на эту тему за рубежом растет [7]. В отечественных же лингвистических исследованиях сведения о народном языковом самосознании, как правило, являются лишь сопутствующей информацией. Между тем в народной культуре существует своя система взглядов на речевое поведение, объединяющее народное языкознание и народную фольклористику ("народная филология”), которая находит свое выражение в метаязыке ("народная терминология”) и метатекстах — как индивидуальных, так и коллективных (вспомним пословицы о языке). Мы остановимся здесь на метатекстах.
Как мы уже отметили, языковое самосознание заключается в способности интерпретировать и квалифицировать элементы языкового сознания. Интерпретация состоит в изложении понимания текста или языковых единиц. Квалификация — в указании на их функции, значимость. Частным видом квалификации является оценка. В народной лингвистике оценочные высказывания являются наиболее распространенными.
Примером интерпретации языковых единиц являются многочисленные образцы народной этимологии. Примером квалификации — рассуждения о правильности/неправильности языковых выражений или форм. Так, услышав от своего отца форму выспау (перфект от выспаться), его сын, обращаясь к диалектологам, сказал: Конечно, что с него взять, он в старом виде это говорит, а мы с вами, как люди культурные, скажем выспамшись. Оценочные высказывания такого типа особенно часты в ситуации столкновения двух культур.
Когда объектом осознания являются традиционные культурные тексты (фольклорные и книжные), то это осознание выражается в метатекстах, которые тоже можно разделить на тексты-интерпретации и тексты-квалификации. Объектом текстов-интерпретаций является содержание каких-либо культурных текстов. Объектом текстов- квалификаций является сам текст — его структура и функции. Тексты-квалификации могут указывать на структурное членение фольклорного текста, на статус его частей: А заключительное слово колдун про себя сказал, его нам знать не должно (из рассказов о заговорах, записанных в экспедициях). Тексты-квалификации указывают на функции фольклорных текстов в обряде, их локальную и временную приуроченность, например, Эта песня обидная, ее поют, чтобы у невесты слезу вышибить, эту песную поют, когда невесту из-за столя выводят и т.п.
Тексты-интерпретации отражают понимание культурного текста на самых различных уровнях, начиная с грамматического. Иногда неверное понимание на уровне грамматики дает толчок к изменению всей структуры текста. Ю.М. Соколов [8], исследуя текст духовного стиха "Разговор царевича Иоасафа с пустыней”, показал, что первоначальный текст был не диалогом, а монологом Иоасафа, прославляющего пустыню. Но слова строфы придет весна... тогда я выйду навеселюся были интерпретированы народными исполнителями как намерения Иоасафа выйти из пустыни, хотя имелось в виду выйти в пустыню (был найден текст, который это подтверждал), в результате чего возник диалог, где слова Ты из пустыни выйдешь, меня, мати прекрасную, покинешь были отданы пустыне, убеждающей Иосафа, что он не сможет прожить в ней.
Многочисленные тексты-интерпретации возникают при разрушении фольклорных текстов. Пересказы былин, стихов являются текстами, где перемешаны индивидуальные и коллективные интерпретации. Конечно, почти во всех текстах-интерпретациях есть элементы квалификации, но квалификация (главным образом, оценка) относится, как правило, не к структуре текста, а к элементам содержания.
Существует интересная разновидность интерпретации и оценки текстов, которую можно назвать народной герменевтикой. Она развита в старообрядческой среде и состоит в устном изложении книжных христианских текстов. В перерыве соборной службы или после воскресного молитвенного общения грамотная уставщица читает "душеполезные” тексты, главным образом, жития святых и иноков или поучения отцов церкви. Считается, что текст с церковнославянского языка переводится на русский. На самом деле, перевода как такового практически нет: есть интерпретация (толкование) текста и оценка лиц и событий в нем. В процессе толкования выясняется, что самому толкователю непонятно в тексте (в смысле языка, внеязыковых реалий или рассуждений), что ему представляется необходимым объяснить слушателям, какого типа мысли и чувства он старается у них вызвать и какими способами он этого достигает или пытается достичь. Так, жительница старообрядческого уральского села при чтении "Жития Кирика и Улиты” ставила перед собой задачу обратить внимание слушателей на абсолютную внутреннюю невозможность для героев лгать и на их стойкость и бесстрашие. Это достигалось введением в интерпретацию текста эмотивных оценок и сравнениями достоинств героев с душевными качествами присутствующих. Чтение обнаружило также неверный перевод слов (язык плотян перевела как язык плотный), незнание некоторых реалий (вепрь — что такое!), неясное представление о поле Афродиты и Аполлона (богов хулили християны — Афродиту, Аполлону). Ниже приводятся отрывки текста Жития (так, как он звучал в магнитофонной записи, т.е. с возможными ошибками) и их интерпретация: ...И приведоша святую Улиту пред Мучителя и рече царь-мучитель: Какого бы еси роду? — Какого, грит, ты роду, кто такая есь? Давай, сказывай, говорит, что за человек. — Аз есмь Улита, от Икония — града. Я, грит, Улита меня звать, из такого-то места. — И бежах от тебя, а ныне есть в твоих руках. — Я. грит, бежала из такого-то места, а ныне, грит, все равно в твои руки попала, все равно не могла скрыться. (Она ему всю правду говорит, врать не соврет. Мы бы да вздумали скривить душою, чтобы неправда была — она уже нет). В процессе чтения давались толкования отдельным словам: — Принесоша же слуги котел широтою двунадесяти локтей. — Вот какой котел принесли — двенадцати локтей\ Локоть — ведь это аршин называется. Теперь нету аршин, теперь метр.
Исследование народного речевого самосознания, направленного на культурные тексты, неминуемо выводит нас в область народной этики, эстетики, философии, связывая лингвистическую проблематику с целым рядом культурологических вопросов.
1. Караулов Ю Н. Русский язык и языковая личность. М., 1987.
2. Якобсон Р. К языковедческой проблематике сознания и бессознательности // Бессознательное. Природа, функции, методы исследования. Тбилиси, 1978.
3. Hoenigswald Н.М. A proposal for the study of folk-linguistics // Sociolinguistics. The Hague. З., 1966.
4. См : Тимофеев В.П. Диалектный словарь личности. Шадринск, 1971.
5. См.: Русские письменные и устные традиции и духовная культура. М., 1982. С. 247—265.
6. ‘Примеры взяты из писем, адресованных сотрудникам археографической группы МГУ и автору статьи.
7. Ромашко С.А. Культура, структура коммуникации и языковое сознание // Язык и культура: Сборник обзоров. М., 1987.
8. Соколов Ю.М. Весна и народный аскетический идеал // Русский филологический вестник. 1910. Т. 62. Вып. 3.
Юдина Н.В., Кузнецова Е.А.
[[Языковой портрет современного финансиста]]
Юдина Н.В., Кузнецова Е.А.
Языковой портрет современного финансиста: учебник для бакалавров /Н.В. Юдина, Е.А. Кузнецова.−М.:Финансовый университет,2016. – 280 с.I SBN 978‐5‐7942‐1392‐8
[ext[ссылка интернет|http://elib.fa.ru/fbook/udina_kuznecova_59632.pdf/download/udina_kuznecova_59632.pdf]]
* ИНТЕРПРЕТАЦИЯ ПОНЯТИЯ "ЯЗЫКОВАЯ ЛИЧНОСТЬ" В РАМКАХ АНТРОПОЦЕНТРИЧЕСКОГО НАПРАВЛЕНИЯ В ЛИНГВИСТИКЕ [ext[ссылка|https://elibrary.ru/item.asp?id=36811493]]
* ПОДХОДЫ К ФОРМИРОВАНИЮ ПОЛИКУЛЬТУРНОЙ САМООРГАНИЗАЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ ОБУЧАЮЩЕГОСЯ ВУЗА[ext[ссылка|https://elibrary.ru/item.asp?id=34890556]]
*АКСИОЛОГИЧЕСКИЙ ПОДХОД К ФОРМИРОВАНИЮ ПОЛИКУЛЬТУРНОЙ САМООРГАНИЗАЦИИ ЯЗЫКОВОЙ ЛИЧНОСТИ ОБУЧАЮЩЕГОСЯ ВУЗА[ext[ссылка|https://elibrary.ru/item.asp?id=35656954]]
13.00.01
[[Григорьева-Голубева В.А.]] Становление гуманистических ценностей педагога (в аспекте языковой личности): дис. … д-ра. пед. наук. – Санкт-Петербург, 2002. – 493 с
[[Иванова Г.А.]] Педагогические основы формирования языковой личности посредством культуры иноязычного чтения : автореф. дис. … канд. пед. наук. – Якутск, 2000. –
[[Емельянова З.В.]] Формирование интерактивной компетенции языковой личности при обучении иностранным языкам в неязыковом вузе: автореф. дис. … канд. пед. наук. – Якутск, 2000. – 19 с.
[[Птицына И.Ф.]] Педагогические условия формирования межкультурной компетенции вторичной языковой личности студентов (на материале изучения японского языка и культуры): автореф. дис. … канд. пед. наук. – Якутск, 2008. – 23 с.
[[Хлызова Н.Ю.]] Педагогические условия формирования медиакомпетентности вторичной языковой личности: автореф. дис. … канд. пед. наук. – М., 2011. – 23 с.
[[Протченко О.П.]] Формирование языковой личности учителя начальных классов в педагогическом училище: автореф. дис. ... канд. пед. наук – Минск, 1997. – 19 с.
13.00.02
[[Игнатова И.Б.]] Обучение грамматическому строю русской речи иностранных студентов-филологов как основа формирования языковой личности будущего учителя: дис. … д-ра. пед. наук – СПб., 1997. – 410 с.
[[Смыкунова Н.В.]] Прецедентные феномены в речевом общении русской языковой личности и процессе обучения русскому языку как иностранному: автореф. дис. … канд. пед. наук. – М., 2003. – 20 с.
[[Андреева С.М.]] Формирование коммуникативной культуры "вторичной" языковой личности иностранных студентов-филологов в процессе обучения русскому языку (подготовительный факультет): автореф. дис. … канд. пед. наук. – Белгород, 2003. – 24 с.
[[Мордас С.Б.]] Формирование грамматико-коммуникативной компетенции "вторичной" языковой личности франкоговорящих иностранных студентов при изучении предложно-падежных конструкций с пространственным значением : автореф. дис. … канд. пед. наук. – Белгород, 2004. – 24 с.
[[Крайникова М.Н.]] Контактоустанавливающие единицы языка как средство развития языковой личности учащегося : автореф. дис. … канд. пед. наук. – Н. Новгород, 2005. – 28 с.
[[Дорожкина Т.Н.]] Учебно-творческий дискурс в сфере письменной коммуникации (формирование языковой личности человека пишущего): автореф. дис. … д-ра. пед. наук. – Уфа, 2006. – 50 с.
[[Халяпина Л.П.]] Методическая система формирования поликультурной языковой личности посредством интернет-коммуникации в процессе обучения иностранным языкам: автореф. дис. … д-ра. пед. наук. – СПРб., 2006. – 49 с.
[[Лысенко Н.Е.]] Развитие языковой личности при обучении русскому и иностранному языкам в неязыковом вузе: автореф. дис. … канд. пед. наук. – Орел, 2006. – 24 с.
[[Абдулмянова И.Р.]] Формирование специального двуязычного тезауруса как составляющего компонента языковой личности переводчика в экономической сфере (французский язык): автореф. дис. … канд. пед. наук. – Н. Новгород, 2008. – 20 с.
[[Дрянгина Е.А.]] Обучение студентов-филологов ассоциативно-образным средствам репрезентации языковой личности учителя: автореф. дис. … канд. пед. наук. – Саранск, 2011 – 23 с.
[[Дерябина Н.А.]] Развитие языковой личности студентов в процессе изучения иностранного языка: автореф. дис. … канд. пед. наук. – Екатеринбург, 2013. – 25 с.
13.00.06
[[Быкова Г.И.]] Воспитание языковой личности в процессе преподавания лингвистических и речеведческих дисциплин : дис. … канд. пед. наук. – Екатеринбург,1999. – 195 с.
13.00.08
[[Юрьева А.В.]] Лингвориторический идеал как фактор становления профессиональной языковой личности будущего учителя: автореф. дис. … канд. пед. наук. – Сочи, 2002. – 22 с.
[[Дацун Н.А.]] Билингвальная подготовка будущего юриста как профессиональной языковой личности (на материале изучения английского языка): автореф. дис. … канд. пед. наук. – Майкоп, 2007. – 23 с.
[[Годунова С.Ю.]] Педагогические условия развития языковой личности студента технического вуза: автореф. дис. … канд. пед. наук – М., 2008. – 26 с.
[[Пивкин С.Д.]] Самореализация языковой личности переводчика в системе дополнительного профессионального образования: автореф. дис. … д-ра. пед. наук. – Ульяновск, 2012. – 24 с.
ЯЛ2 - «вторичная» языковая личность
[[Мордас]]
[ext[ссылка|http://vestnik.yspu.org/]]
''по ссылке'' Стоимость публикации – 3 000 руб.
Читатели журнала, оформившие подписку от одного до шести номеров журнала в год, имеют право один раз в год подписки опубликовать свою научную статью, прошедшую внешнее независимое рецензирование, бесплатно, в порядке очереди. Но для этого прежде всего необходимо прислать по электронной почте в редакцию статью для решения редколлегии о её публикации.
Авторский экземпляр журнала автор получает согласно оформленной подписке от курьера.
Стоимость одного номера − 1000 рублей − без агентской наценки.
Яроцкая Людмила Владимировна
*[[Стратегия формирования профессиональной личности в современной образовательной ситуации]]
*[[Иностранный язык и становление профессиональной личности (неязыковой вуз)]]
Абдулмянова И.Р. Формирование специального двуязычного тезауруса как составляющего компонента языковой личности переводчика в экономической сфере (французский язык)
[[Абдулмянова Содержание]]
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=1018730]] *[ext[ссылка ар|https://new-disser.ru/_avtoreferats/01004139302.pdf]]
[[air_ar 1]]
---
{{air_ar_s3_1}}*[[air_ar_s3_1]]
{{air_ar_s3_2}}*[[air_ar_s3_2]]
{{air_ar_s3_3}}*[[air_ar_s3_3]]
{{air_ar_s3_4}}*[[air_ar_s3_4]]
{{air_ar_s3_5}}*[[air_ar_s3_5]]
{{air_ar_s3_7}}*[[air_ar_s3_7]]
{{air_ar_s4_6}}*[[air_ar_s4_6]]
{{air_ar_s4_7}}*[[air_ar_s4_7]]
{{air_ar_s4_8}}*[[air_ar_s4_8]]
{{air_ar_s4_9}}*[[air_ar_s4_9]]
{{air_ar_s5_1}}*[[air_ar_s5_1]]
* {{air_ar_s5_2_0}}*[[air_ar_s5_2_0]]
* {{air_ar_s5_2_1}}*[[air_ar_s5_2_1]]
* {{air_ar_s5_2_2}}*[[air_ar_s5_2_2]]
* {{air_ar_s5_2_3}}*[[air_ar_s5_2_3]]
* {{air_ar_s5_2_4}}*[[air_ar_s5_2_4]]
{ {air_ar_s5_2}}*[[air_ar_s5_2]]
{{air_ar_s5_3}}*[[air_ar_s5_3]]
{{air_ar_s7_1_0}}*[[air_ar_s7_1_0]]
{{air_ar_s7_1_1}}*[[air_ar_s7_1_1]]
{{air_ar_s7_1_2}}*[[air_ar_s7_1_2]]
{{air_ar_s7_1_3}}*[[air_ar_s7_1_3]]
{{air_ar_s7_1_4}}*[[air_ar_s7_1_4]]
{{air_ar_s7_2}}*[[air_ar_s7_2]]
{{air_ar_s7_3_0}}*[[air_ar_s7_3_0]]
{{air_ar_s7_3_1}}*[[air_ar_s7_3_1]]
{{air_ar_s7_3_2}}*[[air_ar_s7_3_2]]
{{air_ar_s7_3_3}}*[[air_ar_s7_3_3]]
{{air_ar_s8_1}}*[[air_ar_s8_1]]
{{air_ar_s8_2_0}}*[[air_ar_s8_2_0]]
{{air_ar_s8_2_1}}*[[air_ar_s8_2_1]]
{{air_ar_s8_2_2}}*[[air_ar_s8_2_2]]
{{air_ar_s8_2_3}}*[[air_ar_s8_2_3]]
{{air_ar_s8_2_4}}*[[air_ar_s8_2_4]]
{{air_ar_s8_2_5}}*[[air_ar_s8_2_5]]
{{air_ar_s8_3}}*[[air_ar_s8_3]]
{ {air_ar_s8}}*[[air_ar_s8]]
{{air_ar_s9_1}}*[[air_ar_s9_1]]
{{air_ar_s9_2}}*[[air_ar_s9_2]]
{{air_ar_s9_3}}*[[air_ar_s9_3]]
{{air_ar_s9_4}}*[[air_ar_s9_4]]
{{air_ar_s9_5_0}}*[[air_ar_s9_5_0]]
{{air_ar_s9_5_1}}*[[air_ar_s9_5_1]]
{{air_ar_s9_5_2}}*[[air_ar_s9_5_2]]
{{air_ar_s9_5_3}}*[[air_ar_s9_5_3]]
{{air_ar_s9_5_4}}*[[air_ar_s9_5_4]]
{ {air_ar_s9}}*[[air_ar_s9]]
{{air_ar_s10}}*[[air_ar_s10]]
{{air_ar_s11}}*[[air_ar_s11]]
{{air_ar_s12_1}}*[[air_ar_s12_1]]
{{air_ar_s12_2}}*[[air_ar_s12_2]]
*{{air_ar_s12_2b}}*[[air_ar_s12_2b]]
*{{air_ar_s13_1}}*[[air_ar_s13_1]]
*{{air_ar_s14_1}}*[[air_ar_s14_1]]
*{{air_ar_s15_1}}*[[air_ar_s15_1]]
*{{air_ar_s16_2}}*[[air_ar_s16_2]]
Абдулмянова И.Р. [[Формирование специального двуязычного тезауруса как составляющего компонента языковой личности переводчика в экономической сфере (французский язык)]]
[[Абдулмянова Содержание]]
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=1018730]] *[ext[ссылка ар|https://new-disser.ru/_avtoreferats/01004139302.pdf]]
[[air_ar]]
---
!!''Формирование специального двуязычного тезауруса как составляющего компонента языковой личности переводчика в экономической сфере (французский язык)''
''Цель исследования'' состоит в теоретическом обосновании, разработке и экспериментальной проверке методики формирования специального двуязычного тезауруса студентов будущих переводчиков в предметной области «Экономика».
''Предмет исследования'' - методика формирования специального двуязычного тезауруса переводчика.
''Объект исследования'' - процесс обучения профессиональному (экономическому) подъязыку будущих переводчиков в языковом вузе.
---
* { {air_ar_s4_6}}* { {air_ar_s4_7}}* { {air_ar_s4_8}}
---
*[[научная новизна обработать |air_ar 1 nn]]
*[[на защиту выносятся |air_ar 1 nzv]]
*[[гипотеза |air_ar 1 gipoteza]]
*[[задачи |air_ar 1 zadachi]]
*[[теоретическая значимость|air_ar 1 tzi]]
*[[практическая значимость|air_ar 1 pzi]]
*[[материал для размышления|air_ar_mdr]]
---
{{air_ar_s4_9}}*[[air_ar_s4_9]]
{{air_ar_s5_1}}*[[air_ar_s5_1]]
{{air_ar_s7_1_0}}
{{air_ar_s7_1_1}}
{{air_ar_s7_1_2}}
{{air_ar_s7_1_3}}
{{air_ar_s7_1_4}}
стр. 7
{{air_ar_s8_2_0}}
{{air_ar_s8_2_1}}
{{air_ar_s8_2_2}}
{{air_ar_s8_2_3}}
{{air_ar_s8_2_4}}
{{air_ar_s8_2_5}}
{{air_ar_s7_3_0}}
{{air_ar_s7_3_1}}
{{air_ar_s7_3_2}}
{{air_ar_s7_3_3}}
стр. 7
{{air_ar_s5_2_0}}
{{air_ar_s5_2_1}}
{{air_ar_s5_2_2}}
{{air_ar_s5_2_4}}
{{air_ar_s3_1}}*[[air_ar_s3_1]]
{{air_ar_s3_2}}*[[air_ar_s3_2]]
{{air_ar_s3_3}}*[[air_ar_s3_3]]
{{air_ar_s3_4}}*[[air_ar_s3_4]]
{{air_ar_s3_5}}*[[air_ar_s3_5]]
{{air_ar_s3_7}}*[[air_ar_s3_7]]
{{air_ar_s8_3}}*[[air_ar_s8_3]]
{ {air_ar_s8}}*[[air_ar_s8]]
{{air_ar_s9_1}}*[[air_ar_s9_1]]
{{air_ar_s9_2}}*[[air_ar_s9_2]]
{{air_ar_s9_3}}*[[air_ar_s9_3]]
{{air_ar_s9_4}}*[[air_ar_s9_4]]
{{air_ar_s9_5_0}}*[[air_ar_s9_5_0]]
{{air_ar_s9_5_1}}*[[air_ar_s9_5_1]]
{{air_ar_s9_5_2}}*[[air_ar_s9_5_2]]
{{air_ar_s9_5_3}}*[[air_ar_s9_5_3]]
{{air_ar_s9_5_4}}*[[air_ar_s9_5_4]]
{ {air_ar_s9}}*[[air_ar_s9]]
{{air_ar_s10}}*[[air_ar_s10]]
{{air_ar_s11}}*[[air_ar_s11]]
{{air_ar_s12_1}}*[[air_ar_s12_1]]
{{air_ar_s12_2}}*[[air_ar_s12_2]]
*{{air_ar_s12_2b}}*[[air_ar_s12_2b]]
*{{air_ar_s13_1}}*[[air_ar_s13_1]]
*{{air_ar_s14_1}}*[[air_ar_s14_1]]
*{{air_ar_s15_1}}*[[air_ar_s15_1]]
*{{air_ar_s16_2}}*[[air_ar_s16_2]]
10
{{air_ar_s10_1_1}}*[[air_ar_s10_1_1]]
{{air_ar_s10_1_2}}*[[air_ar_s10_1_2]]
{{air_ar_s10_2}}*[[air_ar_s10_2]]
{{air_ar_s10_3}}*[[air_ar_s10_3]]
{{air_ar_s10_4}}*[[air_ar_s10_4]]
{{air_ar_s10_5}}*[[air_ar_s10_5]]
{{air_ar_s10_6}}*[[air_ar_s10_6]]
{{air_ar_s10_7}}*[[air_ar_s10_7]]
беседы, переговоры, совещания), свойственные обеим культурам (текстовая компетенция);
- знание правил ведения беседы, делового разговора, спора, дискуссии, диалога, делового совещания, переговоров в обеих культурах и умение формулировать цели и задачи делового общения (коммуникативная компетенция);
Данные требования к языковой личности переводчика в специальной области привели к мысли, что преподавание языка не должно ограничиваться построением системы нового языкового (терминологического) кода, а должно сопровождаться формированием специального тезауруса переводчика.
В современной науке понятие «тезаурус» довольно популярно. Оно используется в лексикографии, информатике, педагогике. Существуют также попытки его применения в лингводидактике, однако, довольно часто они ограничиваются констатацией полезности использования существующих тезаурусов-словарей при изучении специализированных текстов на иностранном языке. В данной работе тезаурус, а конкретнее @@color:red; тезаурус переводчика, рассматривается как ментальное образование @@ , целенаправленно формирующееся на занятиях по профессиональному подъязыку с учетом требований, предъявляемых к личности профессионального переводчика.
Для определения отличительных черт тезауруса переводчика было проанализировано само понятие тезаурус в значимых для исследования областях научного знания (лексикографии, информатике, педагогике, психологии) и на категориальном, общенаучном, дисциплинарном и личностном уровнях представления данного понятия (А. А. Никитина). Было определено место тезауруса личности в системе родственных ему ментальных образований и дана возможная характеристика его структуры.
Если тезаурус личности характеризует языковую личность человека, то его языковая личность характеризуется ''профессиональным '' тезаурусом
В результате исследования было установлено, что тезаурус переводчика в специальной области должен сочетать в себе основы тезаурусов научных культур обслуживаемой области, выраженные на ИЯ и РЯ, в их постоянном взаимодействии. Таким образом, '' специальный экономический тезаурус переводчика'' - //это открытая система взаимосвязанного накопления, хранения, преумножения информации, знаний, опыта, являющаяся информационной, понятийной и концептуальной базой формирования и развития профессиональной личности переводчика. Он характеризуется наличием интегративной системы основ знаний, представлений, концептов в экономической области знаний, а также ценностных отношений к этой сфере через призму переводческой деятельности, отличающуюся ''бикулътурностью'' (поликультурностью) и ''билингвизмом'' (мультилингвизмом). //
''Вторая глава «Методика формирования специального двуязычного тезауруса переводчиков в экономической сфере»'' посвящена анализу педагогического, лингвообразовательного и методического потенциала
использования тезаурусного способа в обучении иностранному языку будущих переводчиков в экономической сфере, разработке методики формирования специального двуязычного тезауруса переводчика в экономической сфере и описанию ее опытно-экспериментальной апробации.
Тезаурусный способ обучения специализированному иностранному языку, приобретающий в качестве объекта формирования тезаурус личности, базируется на системе педагогических подходов (системно-функционального, личностно-деятельностного, компетентностного, межкультурного) и принципов, регулирующих процесс профессиональной подготовки переводчиков.
Данный способ подчиняется также принципам коммуникативно-когнитивного подхода обучения иностранному языку. Выбор этого подхода обусловлен тем, что он опирается не только на коммуникативность в обучении, но и на формирование у обучаемых адекватного представления о системе языка. Это невозможно без опоры на культуру, которая выражается средствами изучаемого языка.
Эти принципы определяют следующую логику организации процесса обучения специализированному ИЯ и предъявления профессионально-направленного текстового материала:
- активизация и формирование основ личностного тезауруса на родном языке, - предъявление изучаемого явления на материале иностранного языка,
- сравнение представлений данного явления в родной и иностранной культурах и выдвижение предположений о причине возможных несоответствий,
- концептуализация нового знания,
- использование нового знания, - анализ контекстуального использования понятия и его модификаций в языке,
Каждому этапу соответствует особая стратегия или сочетание стратегий с набором приемов и методических заданий, которые выстраиваются в систему упражнений, обеспечивающих эффективность методики по формированию специального двуязычного тезауруса переводчика (табл. 1).
Система упражнений, разработанная на принципах коммуникативно-когнитивного подхода и тезаурусного способа обучения специализированному подъязыку, легла в основу программных и учебно-методических материалов для дисциплины «Профессиональные подъязыки». Все вышеперечисленные компоненты составляют предлагаемую нами методику формирования специального двуязычного тезауруса переводчика.
12
Таблица 1 - Система упражнений по формированию специального (экономического) двуязычного тезауруса переводчика
| ! тип упражнений | !виды упражнений | !задания |
|Упражнения на активизацию личностного тезауруса |- выделение определенных признаков, идентификацию фактов в родной культуре;|- Найдите в учебниках по экономике, экономических словарях и методических пособиях, что такое .... |
|~|- сопоставление, установление корреляций между знаниями отдельных студентов и между реально-существующими фактами, явлениями родной культуры; |- Что вы знаете /узнали об изучаемом факте? |
|~|- классификацию фактов, группировку по темам, категориям и пр.; |- В рамках изучения каких дисциплин вы сталкивались с данными понятиями раньше? |
|~|- обобщение; |- Назовите термины, которые, по вашему мнению, относятся к теме .... |
|~|- систематизацию; |- Приведите примеры контекстов, в которых употребляются данные понятия.|
|~|- критическую оценку; |- Представьте схематично ту информацию, которой вы теперь обладаете. |
|~|- детализацию, иллюстрирование примерами; | |
|~|- использование ресурсов (словаря, учебников по экономике, лекций ...); | |
|Упражнения на первичное ознакомление с изучаемым материалом народном и иностранном языках|- лингвосмысловой анализ языковых средств и терминов в соотнесении с контекстом;|- Прочитайте текст на русском языке и выделите термины, которые относятся к теме. |
|~|- толкование значения языковых средств и терминов с точки зрения коммуникативной задачи говорящего/пишущего, замысла автора, общей идеи, широкого социокультурного и профессионального контекста; |- В каком из изученных нами контекстов они употреблены в тексте? |
|~|~|- Какие эквиваленты в изучаемом языке вы можете подобрать для следующих терминов|
|~|~|- Прочитайте текст на французском языке и проверьте верность предложенных вами эквивалентов. |
В процессе обучения сравнивались три группы @@color:red; обучающихся -студенты третьего курса переводческого факультета НГЛУ (ПФ-НГЛУ) и четвертого курса экономического отделения переводческого факультета @@ (РФУ - НГЛУ и РФУ - ННГУ). Все обучаемые были подробно ознакомлены с целями и задачами проводившегося с их участием эксперимента.
<center> ''ОБЩАЯ ХАРАКТЕРИСТИКА РАБОТЫ '' </center>
''Актуальность'' исследования обусловлена необходимостью адаптации языковой подготовки будущих переводчиков к овладению будущей профессиональной деятельностью в узкоспециализированной сфере.
Главная цель современного высшего образования заключается в подготовке квалифицированных специалистов, востребованных на рынке труда, способных к активной деятельности, обладающих высокой профессиональной мобильностью и гибкостью мышления в решении специальных задач, умеющих осознанно и осмысленно управлять своим социальным поведением. Центральной остается проблема «адекватности форм организации учебной деятельности в высшей школе формам усваиваемой студентами профессиональной деятельности» (А. А. Вербицкий).
Следовательно, при проектировании процесса обучения определенной специальности точкой опоры является характеристика данной профессии и требования, которые она предъявляет к специалистам.
В нашем исследовании такой профессией выступает переводческая деятельность, а конкретнее, такая специфическая ее сторона, как переводческая деятельность в профессиональной коммуникации.
Современная профессиональная подготовка студентов, будущих переводчиков, предполагает целенаправленное обучение непосредственно переводческой деятельности только на старших курсах переводческих факультетов. На младших курсах студенты изучают блок общеобразовательных дисциплин и иностранные языки. Обучение иностранным языкам как на младших, так и на старших курсах языковых вузов ведется часто без учета специализации будущих переводчиков. Тем не менее, появился ряд работ, авторы которых подчеркивают необходимость профессионализации лингвистической подготовки и пересмотра ее роли в становлении профессиональной личности переводчика: Н. Н. Гавриленко, Р. К. Миньяр-Белоручев, Е. Р. Поршнева, И. И. Халеева, Е. Lavault, Т. Bodrova-Gogenmos и др. Однако эта профессионализация осуществляется на общекультурном и общеязыковом уровне.
''Объект исследования '' - процесс обучения профессиональному (экономическому) подъязыку будущих переводчиков в языковом вузе.
''Предмет исследования'' - методика формирования специального двуязычного тезауруса переводчика.
''Цель'' исследования состоит в теоретическом обосновании, разработке и экспериментальной проверке методики формирования специального двуязычного тезауруса студентов будущих переводчиков в предметной области «Экономика».
''Гипотеза '' исследования. Обучение переводчиков профессиональному подъязыку будет более успешным, если:
- учтены особенности профессиональной переводческой деятельности и специфика языковой личности переводчика в экономической области;
- определены особенности специального тезауруса переводчика в экономической сфере;
- применен тезаурусный способ обучения профессиональному подъязыку, отражающий тезаурусную организацию знаний и опыта человека и строящийся на принципах коммуникативно-когнитивного подхода;
- разработана методика формирования двуязычного специального тезауруса переводчика.
В соответствии со сформулированными целью и гипотезой исследования необходимо решить следующие ''задачи'':
1. Определить сущность профессиональной переводческой деятельности в целом и особенности языковой личности переводчика в экономической сфере.
2. Проанализировать понятие тезаурус в значимых для исследования областях и определить особенности специального тезауруса переводчика.
3. Рассмотреть возможности и доказать преимущества применения тезаурусного способа при обучении будущих переводчиков профессиональному подъязыку.
4. Разработать и экспериментально апробировать систему упражнений, обеспечивающую формирование специального двуязычного тезауруса.
Для решения поставленных задач и проверки общей гипотезы использовались следующие аналитические, обобщающие, интерпретационные методы исследования:
- анализ отечественной и зарубежной научной литературы по педагогике, психологии, психолингвистике, лингвистике, терминологии, лингводидактике, методике обучения иностранным языкам, переводоведению и экономике;
- изучение и обобщение накопленного опыта по реализации тезаурусного подхода в обучении вообще и иностранному языку в частности;
- наблюдение за деятельностью преподавателей и студентов;
- анкетирование, тестирование, беседа;
- опытно-экспериментальное обучение;
- методы математической статистики.
''Научная новизна исследования'':
-выявлена специфика языковой личности переводчика в экономической сфере;
-определено понятие специального двуязычного тезауруса переводчика в экономической сфере;
-систематизированы психолого-педагогические и методические подходы и принципы, на которые опирается тезаурусный способ обучения профессиональному подъязыку;
- разработана методика обучения будущих переводчиков профессиональному подъязыку, формирующая готовность - к профессиональной переводческой деятельности на основе тезаурусного способа
''Теоретическая значимость'' диссертационного исследования состоит в теоретическом обосновании роли специального тезауруса в становлении языковой личности переводчика и процесса формирования двуязычного экономического тезауруса как составляющего компонента языковой личности переводчика.
```
''Практическая значимость ''проведенного исследования определяется:
- разработкой методики построения двуязычного тезауруса,
- созданием модели учебного пособия, способствующего осознанию и овладению стратегиями формирования двуязычного '' тезауруса'' как ''основного компонента и показателя языковой личности специалиста'';
```
''Практическая значимость ''проведенного исследования определяется:
- разработкой методики построения двуязычного экономического тезауруса, ориентированной на формирование готовности студентов к их профессиональной переводческой деятельности в экономической сфере;
- созданием модели учебного пособия, способствующего осознанию и овладению стратегиями формирования двуязычного тезауруса как основного компонента и показателя языковой личности специалиста;
- возможностью применения разработанной методики при языковой подготовке переводчиков в экономической сфере.
{{air_ar_s8_1}}*[[air_ar_s8_1]]
{{air_ar_s8_2_0}}*[[air_ar_s8_2_0]]
{{air_ar_s8_2_1}}*[[air_ar_s8_2_1]]
{{air_ar_s8_2_2}}*[[air_ar_s8_2_2]]
{{air_ar_s8_2_3}}*[[air_ar_s8_2_3]]
{{air_ar_s8_2_4}}*[[air_ar_s8_2_4]]
{{air_ar_s8_2_5}}*[[air_ar_s8_2_5]]
{{air_ar_s8_3}}*[[air_ar_s8_3]]
8
психолингвистики, межкультурной коммуникации, переводоведения; использованием комплекса теоретических и эмпирических методов, адекватных проблеме исследования, его цели, задачам, гипотезе; научной апробацией исследования, ход и материалы которого обсуждались на международных, и всероссийских конференциях, а также собственным опытом работы автора в качестве преподавателя французского языка на переводческом факультете ИГЛУ им. Н.А. Добролюбова.
''Положения, выносимые на защиту: ''
1. Обучение переводчиков экономическому языку строится с учетом специфики будущей переводческой деятельности, определяющей особенности языковой личности переводчика, а также с учетом специфики тезауруса специалиста в экономической сфере родной страны и страны изучаемого языка.
2. Специальный экономический тезаурус переводчика характеризуется наличием интегративной системы терминов, основ знаний, представлений, концептов в экономической области знаний, а также ценностных отношений к этой сфере через призму переводческой деятельности, отличающуюся бикультурностью (поликультурностью) и билингвизмом (мультилингвизмом). Качественное овладение языком требует от будущего переводчика осознания тезауруса как открытой системы взаимосвязанного накопления, хранения, преумножения информации, знаний, опыта, являющейся информационной, понятийной и концептуальной базой образования, формирования и развития профессиональной личности.
3. Тезаурусный способ обучения будущих переводчиков профессиональному подъязыку предполагает такую организацию учебного процесса, при которой учитывается специфика тезаурусной организации знаний человека (на примере экономической области) и профессиональной переводческой деятельности.
4. Система упражнений, направленная на формирование специального двуязычного тезауруса переводчика, строится на принципах коммуникативно-когнитивного подхода к обучению иностранным языкам и включает серию упражнений на: активизацию личностного тезауруса, первичное ознакомление с изучаемым материалом на родном и иностранном языках, сравнение представлений данного явления в родной и иностранной культурах и поиск причин несоответствий, концептуализацию нового знания, упражнения на анализ контекстуального использования понятия и его модификаций в обоих языках и упражнения на определение уровня сформированности специального тезауруса
5. Методика формирования специального двуязычного тезауруса будущего переводчика включает специфические формы, способы, средства и приемы обучения и обеспечивает готовность к овладению профессиональной переводческой деятельностью.
''Структура диссертации.'' Диссертация состоит из введения, двух глав, заключения, библиографического списка (229 наименований, в том числе
9
{{air_ar_s9_1}}*[[air_ar_s9_1]]
{{air_ar_s9_2}}*[[air_ar_s9_2]]
{{air_ar_s9_3}}*[[air_ar_s9_3]]
{{air_ar_s9_4}}*[[air_ar_s9_4]]
{{air_ar_s9_5_0}}*[[air_ar_s9_5_0]]
{{air_ar_s9_5_1}}*[[air_ar_s9_5_1]]
{{air_ar_s9_5_2}}*[[air_ar_s9_5_2]]
{{air_ar_s9_5_3}}*[[air_ar_s9_5_3]]
{{air_ar_s9_5_4}}*[[air_ar_s9_5_4]]
на иностранном языке) и 8 приложений. В виде отдельной части исследования оформлено разработанное автором пособие. Кроме текстового материала работа иллюстрирована таблицами и рисунками.
<center> ''ОСНОВНОЕ СОДЕРЖАНИЕ РАБОТЫ ''</center>
''Во Введении'' обосновывается актуальность исследования и избранной темы, обозначены объект, предмет, цель, гипотеза, задачи, методы исследования, его теоретическая база, научная новизна, теоретическая и практическая значимость, положения, выносимые на защиту.
''В первой главе «Теоретические основы формирования специального (экономического) двуязычного тезауруса переводчика» '' диссертационного исследования, выявлен ряд теоретических положений, определяющих особенности переводческой деятельности, отличительные черты языковой личности переводчика и специального тезауруса переводчика, как ее составляющей.
Готовность студента к переводческой деятельности характеризуется степенью сформированности лингвистической, семантической, интерпретативной, текстовой и межкультурной компетенций, которые являются профессионально-значимыми для этой специальности (Е. Р. Поршнева). Данные компетенции являются основным условием формирования языковой личности переводчика независимо от области его специализации. Предметная область в свою очередь определяет специфические требования к языковой личности переводчика. Так, особенностями экономической сферы обусловлены следующие отличительные характеристики переводчика в данной области:
- знание законов функционирования и развития экономических систем (национальной, иностранной, общемировой), умение и готовность мобилизовать эти знания для решения переводческой задачи (межкультурная компетенция);
- готовность и умение извлекать и понимать необходимую информацию в текстах на родном и иностранном языках (с опорой на ключевые слова, дескрипторы, понятия) (семантическая компетенция);
- умение адекватно использовать специальную терминологию на родном и иностранном языках учитывая особенности грамматической организации научного экономического текста в устной и письменной форме (лингвистическая компетенция);
- умение перерабатывать полученную информацию, перефразировать, давать дефиниции, резюмировать; владение навыками номинализации и вербализации (на иностранном (далее ИЯ) и родном (РЯ) языках) (интерпретативная компетенция); - умение пользоваться основными жанрами деловой речи (деловое письмо, факсовое сообщение, контракт, телефонные переговоры, деловые
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
!!ОПИСАНИЕ ПРОГРАММЫ ANTCONC
[ext[ссылка на текст|https://lektsii.org/5-72958.html]]
[ext[ссылка на базу рисунков|https://konspekta.net/lektsiiorgimg/baza5/940705536534.files/]]
[ext[ссылка на конкретный рисунок 7|https://konspekta.net/lektsiiorgimg/baza5/940705536534.files/image007.gif]]
[ext[ссылка на wiki|http://wiki.fu-lab.ru/index.php/AntConc]]
Программа AntConc представляет собой свободно распространяемое мультиплатформенное средство лингвостатистического анализа текста. Программа разработана профессором Лоуренсом Антони (Laurence Anthony), директором Центра обучения английскому языку в науке и технике Школы науки и техники университета Васеда (Япония). Этот сервис может работать на любом компьютере с операционными системами Windows, Mac & Linux. Программа устанавливается с сайта http://www.antlab.sci.waseda.ac.jp/antconc_index.html, который содержит также отсылки к руководству и видео-пособию.
Программа AntConc не требует специальной инсталляции, она скачивается в виде отдельного exe-файла и сопровождается PDF-инструкцией (файл ‘ReadMe’). Запуск программы осуществляется простым двойным кликом с того места, куда пользователь ее установил, также запуск можно осуществить с карты памяти. После запуска на экране появится основное функциональное окно (Рис.1.), которое можно увеличить или уменьшить.
[img[antconc.png]]
!!Общий обзор инструментария AntConc
В инструментарий системы AntConc входит 7 инструментальных средств, доступ к которым осуществляется с использованием соответствующих закладок в общем окне системы или с использованием функциональных клавиш с F1 по F7. В структуре программы и ее описаний под термином «ключевое слово» понимается любое исследуемое слово или словосочетание.
Переводы закладок:
* NAVIGATION MENU ''меню навигации''
* TOOL TABS ''закладки инструментальных средств''
* CONTROL PANEL ''панель управления''
* CORPUS ''корпус''
* FILES WINDOW ''окно файлов''
* ‘KWIC’ RESULTS WINDOW ''окно результатов поиска ключевых слов в контексте''
* ‘KWIC’ RESULTS: SOURCE LIST ''результаты поиска ключевых слов в контексте: исходный список''
''Concordance'' – это инструмент для осуществления поиска всех [[контекст|Контекст]]ов конкретного слова или словосочетания в указанном тексте. На экран выводятся результаты поиска в следующем формате: ключевое слово в контексте (Key Words in Context-KWIC). Это средство позволяет увидеть, как слова и словосочетания актуализируются в контексте.
''Concordance plot''– это инструмент для представления ключевых слов в формате штрихового кода. Это средство позволяет определить все позиции, в которых результаты поиска встречаются в корпусе.
''File View ''– инструментальное средство для представления текстов отдельных файлов.
''Clusters (N-Grams)''– инструмент для представления кластеров на основе условий поиска. Clusters суммирует результаты, полученные после применения средств Concordance или штрихового формата Concordance plot. Средство N-Grams в свою очередь сканирует весь корпус для того, чтобы выделить кластеры длиной 1, 2 и т.д. слов. Это позволяет находить в корпусе совпадающие словосочетания.
''Collocates''– инструмент для выявления словосочетаний (коллокаций) с заданным термином. Он позволяет выявлять и исследовать разрывные модели.
''Word List''– инструмент для подсчета всех слов в корпусе и представления их в виде упорядоченного списка. Это средство предоставляет информацию о частоте слова.
''Keyword List'' – инструмент для выявления высокочастотных (или низкочастотных) слов в исследуемом материале по сравнению с выбранным пользователем справочным корпусом (корпусом национального языка, корпусом текстов конкретной предметной области или определенного стиля). Это средство позволяет установить слова, характерные именно для исследуемого корпуса.
Опции меню навигации делятся на 3 группы: 'File', ‘Global Settings’ и ‘Tool Preferences’ (см. Рис. 2.).
Для использования системы AntConc текстовые файлы должны быть преобразованы в формат .txt или записаны в Unicode(UTF-8). Кодировка устанавливается в закладке ‘Global Settings’ и выглядит следующим образом:
[img[https://konspekta.net/lektsiiorgimg/baza5/940705536534.files/image007.gif]]
Рис.2. Установка кодировки для анализируемых текстов.
Возможные альтернативы касаются считывания файлов в AntConc и записи файлов на диск, содержащий данные различных типов. Кроме того, есть возможности экспортировать все текущие установки в файл и импортировать установки пользователя из файла. Если файл установок пользователя по какой-то причине испорчен, просто перезапустите программу или используйте опцию "Restore Default Settings", чтобы вернуть программу в начальное состояние
[img[https://konspekta.net/lektsiiorgimg/baza5/940705536534.files/image010.gif]]
Для загрузки исследуемых файлов выберите закладку ‘File’ в меню навигации в верхней части окна, а затем закладку ‘Open Files’ из спускающегося меню (см. рис ниже) — ИЛИ —нажмите комбинацию CTRL+F.
В диалоговом окне ‘Open Files’ установите расположение папки, в которой сохранены нужные файлы. Выберите из них те файлы, которые вы хотите анализировать. Если вы хотите выбрать все файлы из папки, нажмите комбинацию CTRL+A.
При работе с текстовыми файлами в формате .doc предварительно запомните их в формате .txt(см. рис. 3).
[img[https://konspekta.net/lektsiiorgimg/baza5/940705536534.files/image014.gif]]
После выбора всех необходимых файлов кликните по закладке ‘Open’ в нижней части окна ‘Open Files’. Выбранные файлы вносятся в список на панели ‘Corpus Files’ слева от основного окна AntConc (см. Рис. .). В прямоугольнике ‘Total No.’ под этой панелью будет показано, сколько выбрано файлов. (Если для последующих этапов работы необходимо удалить эту информацию, вернитесь в меню ‘File’ и выберите закладку выбор‘Clear All Files’).
! Создание Конкорданса.
Чтобы создать конкорданс, нужно сначала удостовериться, что выбрана закладка ‘Concordance’ в таблице инструментов. (Панель инструментов расположена в верхней части окна AntConc; когда выбран инструмент ‘Concordance’, окно результатов и пульт управления будут выглядеть так, как показано на рис. 3 выше).
a.Для того, чтобы создать простой конкорданс на основе однословного термина, необходимо ввести этот термин в прямоугольник для поиска на левой стороне пульта управления и щелкнуть кнопку ‘Start’.
Например, введя слово house в прямоугольник для поиска, получаем список всех вхождений этой словоформы в выбранных текстовых файлах (см. Рис. ). Результаты появятся в окне результатов KWIC в виде списка, слово будет показано в найденных в текстах контекстах и выделено синим цветом.
[img[https://konspekta.net/lektsiiorgimg/baza5/940705536534.files/image016.jpg]]
Рис. 4. Результаты работы инструмента Concordance для словоформы house (99 вхождений)
В списке результатов KWIC ключевые слова (напр. house в предыдущем примере) выделены синим цветом. Кликнув по конкретному ключевому слову, можно перейти к формату текстового файла ‘File View’ и получить для него более широкий контекст. Чтобы вернуться к списку результатов конкорданса, нужно щелкнуть ‘Concordance’ в строке инструментальных средств верхней части окна AntConc.
Рис. .
Есть два пути поиска флективных форм и сложных слов:
(1) прежде чем нажать на кнопку ‘Start’, отмените опцию ‘Words’ выше прямоугольника поиска, тем самым не ограничивая поиск только целыми словами;
(2) добавьте символ звездочка до и/или после исследуемого слова, что позволит учитывать дополнительные буквы, например, введя форму знани*, можно получить контексты для всех флективных форм слова знание – знание, знания, знаниями и т.д., вариант *знание позволит найти и контекст слова знание, и слов типа сознание, а вариант *знани* позволит установить контексты всех словоформ и слов, в которых -знани- входит как часть.
[img[https://konspekta.net/lektsiiorgimg/baza5/940705536534.files/image018.jpg]]
''b.'' Для поиска словосочетаний нужно просто ввести это словосочетание в главный прямоугольник поиска и нажать кнопку ‘Start’. Для поиска наборов ключевых слов нажмите на кнопку ‘Advanced’ рядом с прямоугольником поиска.
В результирующем блоке диалога (см. рис.4 выше), поставьте флажок в ‘Use search term(s) from list below’ а затем введите слова (по одному в строке) в прямоугольник поиска. После этого кликните ‘Apply/Применить’. Для начала поиска нажмите на контрольной панели ‘Start’. (При необходимости вернуться к простому поиску вам придется вернуться в блок ‘Advanced’ и отменить выбор функции ‘Use search term(s) from list below’).
Общее число полученных строк конкорданса (Concordance Hits) показано в верхней части окна (Рис. ?.). Это количество высветится вместе с сообщением "FINISHED / ЗАКОНЧЕНО", когда обработка завершена, и, соответственно, сообщением " NO HITS/НЕТ СОВПАДЕНИЙ”, если для указанного слова контекст не выделен.
Рис. 5. Пример поиска по нескольким словам
Concordance Plot Tool / Разметка Конкорданса – это инструмент, позволяющий представить полученный конкорданс в формате штрих-кода, при этом происходит нормализация длины текста к ширине штриха. Каждый результат показан как вертикальная линия в штрих-коде. Это позволяет обозревать позицию, в которой результаты поиска появляются в анализируемых текстах. Инструмент также позволяет увидеть, в каких файлах встречается исследуемое слово.
Количество контекстов и длина каждого текста показывается справа от штрих-кода, а сам код может быть увеличен или уменьшен с использованием кнопок “Plot Zoom”.
File View Tool / Программа просмотра файлов– это инструмент, позволяющий увидеть тексты отдельных файлов, что дает возможность более подробно анализировать результаты, полученные с помощью других инструментальных средств AntConc.
Для того, чтобы вернуть на экран исходный файл в первоначальном виде:
1) выберите файл в списке “Corpus Files/Файлы Корпуса” слева от главного окна.
2) если искомое слово в тексте присутствует, то оно будет найдено и высвечено.
3) используйте кнопки "Hit Location/местоположение вхождения слова", чтобы выбрать соответствующее вхождение слова подойти к соответствующему месту.
4) измените слово для поиска и кликните 'Start', чтобы рассмотреть его в файле.
5) щелкните по высвеченному тексту, чтобы получить набор строк KWIC, использующий высвеченный в тексте термин для поиска.
6) для того, чтобы получить возможность сравнивать различные наборы результатов, щелкните по кнопке “Clone Results / Копировать результаты”.
[img[https://konspekta.net/lektsiiorgimg/baza5/940705536534.files/image020.jpg]]
Рис. 6 . Вид экрана после работы инструмента просмотра
Создание кластера
The Clusters Tool – это инструментальное средство, которое позволяет искать слово и создавать кластер вместе со словами непосредственно слева или справа от него. Фактически это средство подводит итог тех результатов, которые были получены с помощью “Concordance Tool” or “Concordance Plot Tool”.
Кластеры могут быть упорядочены по частоте, началу или концу слова, диапазону кластера (количеству файлов, в которых кластер появляется) или вероятности того, что первое слово в кластере предшествует остальным. Все последовательности списков также можно инвертировать, используя опцию “Invert Order / Изменить порядок”. Кроме того, можно выбрать минимальную и максимальную длину (количество слов) в каждом кластере и минимальную частоту показываемых на экране кластеров. Можно выбрать появление в кластере искомого слова слева (установка по умолчанию) или справа.
Следующие действия необходимы, для того чтобы получить набор кластеров и продемонстрировать основные черты этого инструмента:
1) Выберите подходящие опции для упорядочивания в кластере (см. выше).
2) Нажмите кнопку 'Start'. Создание списка кластеров может быть приостановлено в любой момент нажатием кнопки 'Stop'.
3) Щелкните по кластеру, чтобы получить набор строк KWIC, используя текст как условие поиска.
4) Щелкните по кнопке “Clone Results”, чтобы создать копию результатов и получить возможность сравнивать различные наборы результатов.
[img[https://konspekta.net/lektsiiorgimg/baza5/940705536534.files/image021.jpg]]
Рис. 7. Вид экрана при работе с кластерами
The N-Grams Tool -этоинструментальное средство, которое позволяет просмотреть весь корпус текстов для выбора кластеров слова длиной N (например, длиной в 1 слово, 2 слова ,...). Это средство позволяет найти наиболее распространенные выражения во всем корпусе текстов. Например, n-граммы размером 2 для предложения this is a pen составят набор словосочетаний 'this is', 'is a' и 'a pen'.
Все возможные альтернативы установления последовательности, доступные в инструменте Clusters Tool, также доступны в N-grams tool. Кроме того можно выбрать минимальный и максимальный размер ( количество слов) каждого n-грамма, а также минимальную частоту и диапазон n-граммов, которые выводятся на экран.
Следующие действия необходимы, для того чтобы получить результат в n-граммах и продемонстрировать основные черты этого инструмента:
1) Щелкните на опции "N-Grams" в верхней части экрана
2) Выберите подходящие опции для упорядочивания.
3) Нажмите кнопку 'Start'. Создание списка n-граммов может быть приостановлено в любой момент нажатием кнопки 'Stop'.
4) Щелкните по n-грамму, чтобы получить набор строк KWIC, используя текст как условие поиска.
4) Щелкните по кнопке “Clone Results”, чтобы создать копию результатов и получить возможность сравнивать различные наборы результатов.
При использовании обоих инструментов и Clusters Tool, и N-Grams Tool условия поиска могут быть установлены как слова "words" (по умолчанию) или последовательности символов "character strings", а сам поиск может не зависеть от прописных или строчных букв “case insensitive” (по умолчанию), зависеть от регистра “case sensitive,” или основываться на устойчивых выражениях "Regex". Для инструмента Clusters Toolвозможно использование расширенного поиска.
[img[https://konspekta.net/lektsiiorgimg/baza5/940705536534.files/image023.jpg]]
Рис. 8. Вид экрана с выделенными N-граммами
!Создание Частотного словаря
Word List Tool – это инструментальное средство для подсчета всех слов в корпусе и представления их в виде упорядоченного списка (частотного словаря), что позволяет быстро установить самые частотные слова.
Слова могут упорядочиваться по частоте либо алфавиту от конца или начала слова, и упорядочивание может быть изменено. Список слов может создаваться без учета прописных и строчных букв, когда слова с использованием прописных и строчных букв могут рассматриваться как одно и то же слово (по умолчанию), или с их учетом, тогда подобные слова рассматриваются как разные.
Следующие действия необходимы, чтобы получить список слов и продемонстрировать основные черты этого инструментального средства:
1) Выберите подходящие опции для упорядочивания.
2) Нажмите кнопку 'Start'. Создание частотного словаря может быть приостановлено в любой момент нажатием кнопки 'Stop' (см. рисунок ниже).
3) Кликните по слову, чтобы получить набор строк KWIC, используя текст как условие поиска.
4) Кликните по кнопке “Clone Results”, чтобы создать копию результатов так, чтобы получить возможность сравнивать различные наборы результатов.
[img[https://konspekta.net/lektsiiorgimg/baza5/940705536534.files/image036.jpg]]
Рис. 12. Создание частотного словаря.
Keyword List – это инструментальное средство, демонстрирующее, какие слова являются необычно высокочастотными (или низкочастотными) в корпусе текстов по сравнению со словами в эталонном корпусе, что позволяет опознать в корпусе текстов характерные слова, например, как часть исследования английского языка для специальных целей или жанра.
Следующие действия необходимы, чтобы получить список ключевых слов и продемонстрировать основные черты этого инструментального средства:
1) Выберите необходимые файлы.
2) Перейдите к меню 'Preferences' и выберите опцию 'Keyword Preferences'.
3) Выберите метод порождения ключевого слова (статистическую меру), чтобы вычислить степень принадлежности слова к ключевым словам исследуемого текста (keyness). По умолчанию рекомендуется выбирать значение логарифмического подобия вероятности. При использовании значения логарифмического подобия вероятности, либо значения c-квадрат в качестве статистической меры применяются следующие значения (см.: http://ucrel.lancs.ac.uk/llwizard.html):
персентиль 95; уровень 5%; p <0.05; критическое значение = 3.84
персентиль 99; 1% уровень; p <0.01; критическое значение = 6.63
персентиль 99.9; уровень 0.1%; p <0.001; критическое значение = 10.83
персентиль 99.99; уровень 0.01%; p <0.0001; критическое значение = 15.13
4) выберите пороговое количество ключевых слов, которые должны быть выведены на экран,
5) выберите, следует ли рассматривать 'Negative Keywords' (слова исследуемого файла с необычно низкой частотой по сравнению с частотой в эталонном корпусе текстов),
6) выберите одну из опций для создания эталонного корпуса. Выберите функцию "Use raw file(s)" для использования исходного текста в формате .txt для того, чтобы выделить те тексты, которые будут рассматриваться как эталонные. Выберите опцию "Use word list(s)" при использовании одного из списков слов эталонного корпуса текстов. Использование опции "Use word list(s)" позволяет получить ключевые слова даже в случае, когда исходный эталонный корпус текстов не доступен.
Сохранение результатов: чтобы сохранить конкретное окно результатов, выберите опцию ‘File’ в навигационном меню в верхней части окна AntConc. Затем выберите функцию‘Save Output to Text File’ - или- нажмите комбинацию CTRL+S.
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
[[Андреева С.М.]] Формирование коммуникативной культуры "вторичной" языковой личности иностранных студентов-филологов в процессе обучения русскому языку (подготовительный факультет)
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=836001]]*[ext[ссылка ar|https://new-disser.ru/_avtoreferats/01003296774.pdf]]
[[СодержаниеАндрееваСМ]]
[[asm_ar 1]]
---
* {{asm_ar_s2_6}}*[[asm_ar_s2_6]]
* {{asm_ar_s3_1}}*[[asm_ar_s3_1]]
* {{asm_ar_s3_2}}*[[asm_ar_s3_2]]
* {{asm_ar_s3_3_0}}*[[asm_ar_s3_3_0]]
* {{asm_ar_s3_3_1}}*[[asm_ar_s3_3_1]]
* {{asm_ar_s3_3_2}}*[[asm_ar_s3_3_2]]
* {{asm_ar_s3_3_3}}*[[asm_ar_s3_3_3]]
* {{asm_ar_s3_4_0}}*[[asm_ar_s3_4_0]]
* {{asm_ar_s3_4_1}}*[[asm_ar_s3_4_1]]
* {{asm_ar_s3_4_2}}*[[asm_ar_s3_4_2]]
* {{asm_ar_s3_4_3}}*[[asm_ar_s3_4_3]]
* {{asm_ar_s3_4_4}}*[[asm_ar_s3_4_4]]
* {{asm_ar_s3_4_5}}*[[asm_ar_s3_4_5]]
* {{asm_ar_s4_1_1}}*[[asm_ar_s4_1_1]]
* {{asm_ar_s4_5-1}}*[[asm_ar_s4_5-1]]
** {{asm_ar_s4_5-2}}*[[asm_ar_s4_5-2]]
** {{asm_ar_s5_1-1}}*[[asm_ar_s5_1-1]]
** {{asm_ar_s5_1-2}}*[[asm_ar_s5_1-2]]
** {{asm_ar_s5_1-3}}*[[asm_ar_s5_1-3]]
** {{asm_ar_s5_1-4}}*[[asm_ar_s5_1-4]]
** {{asm_ar_s5_1-5}}*[[asm_ar_s5_1-5]]
* {{asm_ar_s5_2-1}}*[[asm_ar_s5_2-1]]
** {{asm_ar_s5_2-2}}*[[asm_ar_s5_2-2]]
** {{asm_ar_s5_2-3}}*[[asm_ar_s5_2-3]]
** {{asm_ar_s5_2-4}}*[[asm_ar_s5_2-4]]
** {{asm_ar_s5_2-5}}*[[asm_ar_s5_2-5]]
* {{asm_ar_s5_3}}*[[asm_ar_s5_3]]
* {{asm_ar_s6_1}}*[[asm_ar_s6_1]]
* {{asm_ar_s6_6_0}}*[[asm_ar_s6_6_0]]
* {{asm_ar_s6_6_1}}*[[asm_ar_s6_6_1]]
* {{asm_ar_s7_1_1}}*[[asm_ar_s7_1_1]]
* {{asm_ar_s7_1_2}}*[[asm_ar_s7_1_2]]
* {{asm_ar_s7_1_3}}*[[asm_ar_s7_1_3]]
* {{asm_ar_s7_2}}*[[asm_ar_s7_2]]
* {{asm_ar_s9_4}}*[[asm_ar_s9_4]]
* {{asm_ar_s10_1}}*[[asm_ar_s10_1]]
* {{asm_ar_s10_2}}*[[asm_ar_s10_2]]
[[Андреева С.М.]] Формирование коммуникативной культуры "вторичной" языковой личности иностранных студентов-филологов в процессе обучения русскому языку (подготовительный факультет)
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=836001]]*[ext[ссылка ar|https://new-disser.ru/_avtoreferats/01003296774.pdf]]
[[СодержаниеАндрееваСМ]]
[[asm_ar]]
---
!!''Формирование коммуникативной культуры "вторичной" языковой личности иностранных студентов-филологов в процессе обучения русскому языку (подготовительный факультет)''
* Цель исследования - создание и обоснование методической системы формирования коммуникативной культуры иностранных студентов-филологов на основе использования учебного диалога в процессе личностно ориентированного обучения русскому языку на подготовительном факультете .
* Предмет исследования - методика поэтапного формирования коммуникативной культуры - «вторичной» языковой личности иностранных студентов-филологов на основе использования учебных диалогов в процессе изучения русского языка на подготовительном факультете.
* Объект исследования - процесс поэтапного формирования коммуникативной культуры иностранных студентов-филологов на основе использования учебного диалога.
---
* { {asm_ar_s2_6}}* { {asm_ar_s3_2}}* { {asm_ar_s3_1}}
---
все надо обработать почти все
*[[научная новизна |asm_ar 1 nn]]
*[[на защиту выносятся|asm_ar 1 nzv]]
*[[гипотеза |asm_ar 1 gipoteza]]
*[[задачи |asm_ar 1 zadachi]]
*[[теоретическая значимость|asm_ar 1 tzi]]
*[[практическая значимость|asm_ar 1 pzi]]
*[[материал для размышления|asm_ar_mdr]]
---
{{asm_ar_s3_3_0}}
{{asm_ar_s3_3_1}}
{{asm_ar_s3_3_2}}
{{asm_ar_s3_3_3}}
* {{asm_ar_s4_5-1}}
** {{asm_ar_s4_5-2}}
** {{asm_ar_s5_1-1}}
** {{asm_ar_s5_1-2}}
** {{asm_ar_s5_1-3}}
** {{asm_ar_s5_1-4}}
** {{asm_ar_s5_1-5}}
{{asm_ar_s6_6_0}}
{{asm_ar_s6_6_1}} {{asm_ar_s7_1_1}}
{{asm_ar_s7_1_2}}
{{asm_ar_s7_1_3}}
стр. 6-7
{{asm_ar_s5_3}} {{asm_ar_s6_1}}
стр. 5-6
* {{asm_ar_s5_2-1}}
** {{asm_ar_s5_2-2}}
** {{asm_ar_s5_2-3}}
** {{asm_ar_s5_2-4}}
** {{asm_ar_s5_2-5}}
{{asm_ar_s3_4_0}}
{{asm_ar_s3_4_1}}
{{asm_ar_s3_4_2}}
{{asm_ar_s3_4_3}}
{{asm_ar_s3_4_4}}
{{asm_ar_s3_4_5}} {{asm_ar_s4_1_1}}
стр. 3-4
* {{asm_ar_s7_2}}*[[asm_ar_s7_2]]
* {{asm_ar_s9_4}}*[[asm_ar_s9_4]]
* {{asm_ar_s10_1}}*[[asm_ar_s10_1]]
* {{asm_ar_s10_2}}*[[asm_ar_s10_2]]
В формировании коммуникативной культуры ЯЛ2 иностранных студентов-филологов можно выделить несколько уровней: ''первый уровень'' - запоминание обучающимися единичных языковых объектов; '' второй уровень'' - неотчетливо осознаваемые учащимися теоретические обобщения, характеризующие практическое владение языком без изучения теории; ''третий уровень'' - обобщение языковых явлений по внешним признакам, которое еще не приводит к образованию лингвистических понятий; четвертый уровень - уровень теоретических обобщений (О.Д. Митрофанова, М.А. Мартынова, ЕВ. Парра).
При этом конкретизация процесса формирования коммуникативной культуры студентов-филологов обосновывается @@color:red; во взаимосвязи с трехуровневой структурой языковой личности, которая дифференцируется, с одной стороны, по уровню владения языком в процессе коммуникации, с другой стороны, по видам речевой деятельности, а с третьей, по темам, ситуациям, на основе которых происходит иноязычная коммуникативная деятельность на занятиях по русскому языку в рамках учебного диалога. @@
''Цель исследования'' - создание и обоснование методической системы формирования коммуникативной культуры иностранных студентов-филологов на основе использования учебного диалога в процессе личностно ориентированного обучения русскому языку на подготовительном факультете .
''Объект исследования'' - процесс поэтапного формирования коммуникативной культуры иностранных студентов-филологов на основе использования учебного диалога.
''Предмет исследования'' - методика поэтапного формирования коммуникативной культуры - «вторичной» языковой личности иностранных студентов-филологов на основе использования учебных диалогов в процессе изучения русского языка на подготовительном факультете.
''Гипотеза исследования'' - эффективность процесса формирования коммуникативной культуры иностранных студентов-филологов в соответствии с концепцией поэтапного становления и развития «вторичной» языковой личности будущего преподавателя-русиста может быть достигнута в результате реализации на практике предлагаемой нами лингвометодической системы обучения, доминирующими компонентами которой являются:
- поэтапное формирование коммуникативной культуры иностранных студентов-филологов как «вторичной» языковой личности (вербально-семантический («нулевой») и лингвокогнитивный (тезаурусный) уровни языковой личности);
- система учебных диалогов, направленная на поэтапное формирование коммуникативной культуры «вторичной» языковой личности иностранных студентов-филологов;
- методическая технология, адекватная целям обучения русскому языку, поэтапно формирующая коммуникативную культуру иностранных студентов-филологов как «вторичной» языковой личности на основе учебного диалога.
Цель и гипотеза исследования обусловили необходимость решения ряда исследовательских ''задач'':
1) выяснение на основе анализа лингвометодической, педагогической, психолингвистической и методической литературы степени изученности исследуемой проблемы;
2) определение сущности, содержания и структуры коммуникативной культуры языковой личности иностранных студентов на начальном этапе обучения;
3) исследование становления и развития «вторичной» языковой личности в процессе поэтапного формирования коммуникативной культуры иностранных студентов-филологов на основе использования учебного диалога;
4) выделение критериев и показателей сформированности коммуникативной культуры «вторичной» языковой личности обучающихся в процессе изучения русского языка на подготовительном факультете;
5) разработка методической технологии (экспериментальная программа,принципы, методы, средства обучения, система упражнений) поэтапного формирования коммуникативной культуры иностранных студентов-филологов на основе использования учебного диалога в процессе обучения
русскому языку на подготовительном факультете.
- разработана лингвометодическая система формирования коммуникативной культуры «вторичной» языковой личности иностранных студентов-филологов при обучении русскому языку на подготовительном факультете;
- определены психолингвистические основы поэтапного формирования коммуникативной культуры «вторичной» языковой личности иностранных студентов-филологов в процессе овладения ими русским языком на начальном этапе обучения;
- выявлен статус учебного диалога как эффективного средства формирования коммуникативной культуры иностранных студентов-филологов в русле теории «языковая личность»;
- определены теоретико-прикладные подходы (принципы, методы, приемы,система упражнений) к построению экспериментальной программы формирования коммуникативной культуры иностранных студентов-филологов при овладении учебным диалогом на занятиях по русскому языку;
- экспериментально обоснована и апробирована лингвометодическая система формирования коммуникативной культуры «вторичной» языковой личности @@color:red; иностранных студентов-филологов @@ (на основе использования учебных диалогов на занятиях по русскому языку);
- определены коммуникативно-прагматические нормы как основы поведения коммуникантов в процессе учебного диалога.
''Теоретическая значимость исследования:''
- обоснованы конечные цели формирования коммуникативной культуры «вторичной» языковой личности иностранных студентов-филологов на основе учебного диалога в рамках подготовительного факультета;
- раскрыто понятие «коммуникативная культура», разработана ее структурная модель применительно к поэтапному формированию «вторичной» языковой личности иностранных студентов-филологов на начальном этапе обучения русскому языку;
- выделены критерии разноуровневого формирования коммуникативной культуры студентов-филологов в процессе реализации коммуникативно-деятельностного подхода к становлению и развитию языковой личности будущих преподавателей-русистов на основе учебного диалога;
- дано теоретическое обоснование личностно ориентированного подхода к формированию коммуникативной культуры «вторичной» языковой личности иностранных студентов-филологов.
''Практическая значимость'' исследования. Разработанная теоретическая база позволила создать научно обоснованную методику формирования коммуникативной культуры «вторичной» языковой личности иностранных студентов-филологов в процессе овладения учебным диалогом на занятиях по русскому языку; спроектирована модель построения учебных диалогов, направленных на формирование коммуникативной культуры иностранных студентов-филологов. Экспериментальные материалы, методические рекомендации, контрольные тесты и др. способствовали повышению качественного уровня подготовки
иностранных студентов-филологов по русскому языку на начальном этапе обучения. Разработана и апробирована лингвометодическая система формирования коммуникативной культуры «вторичной» языковой личности иностранных студентов-филологов. Материалы исследования и экспериментальная методика используются в теории и практике преподавания РКИ на международном факультете БелГУ, при чтении спецкурсов и проведении факультативов для иностранных студентов,обучающихся на филологическом факультете и факультете романо-германской филологии БелГУ.
''На защиту выносятся следующие положения:''
1. В настоящее время в высшей школе остается нерешенным вопрос о сущности и формах внедрения коммуникативной культуры в образовательно-профессиональную программу обучения иностранцев. Задачи языкового образования иностранных студентов-филологов в вузе
должны быть подчинены формированию личности преподавателя РКИ. Поэтому формирование коммуникативной культуры иностранных студентов в соответствии с концепцией «вторичная» языковая личность приобретает статус объективной необходимости. Представленная в исследовании лингвометодическая система такого обучения способствует эффективному формированию и развитию коммуникативной культуры обучающихся на основе овладения ими учебным диалогом на занятиях по русскому языку.
2. Коммуникативная культура иностранных студентов-филологов -это интегральное качество «вторичной» языковой личности,представленное единством теоретической и практической готовности личности к иноязычной коммуникативной деятельности.
3. Лингвометодическая система формирования коммуникативной культуры «вторичной» языковой личности иностранных студентов в процессе овладения ими учебным диалогом на занятиях по русскому языку моделирует этапы познания обучающимися языковой и лингвокогнитивной картины мира иной социокультурной общности. Поэтому обучение пониманию и порождению грамматически правильных, семантически точных речевых произведений - диалогов является основным аспектом формирования коммуникативной культуры, а учебный диалог становится основной дидактической единицей коммуникации и обучения «вторичной»языковой личности иностранных студентов-филологов (подготовительный факультет). При этом классификация учебных диалогов, направленная на формирование базовой коммуникативной культуры «вторичной» языковой личности иностранных студентов-филологов, представлена следующими видами: репрезентативные, реконструктивные (с элементами творческого включения), творческие диалоги
Достоверность результатов обеспечена методологической итеоретической обоснованностью исходных позиций исследования,базирующихся на личностно ориентированном и коммуникативно-деятельностном подходах к обучению РКИ; использованием методов,адекватных объекту, предмету, цели, задачам и логике исследования;организацией экспериментальной работы в соответствии с целямиобучения; личным участием автора в опытно-экспериментальной работе;качественным и количественным анализом полученного фактическогоматериала.
Коммуникативная культура рассматривается в диссертационном исследовании как интегральное качество языковой личности,включающее структуры а) теоретической готовности (языковая,дискурсивная, иллокутивная компетенции) и б) практической готовности (коммуникативные знания, умения, навыки) «вторичной»языковой личности иностранных студентов-филологов, которая в процессе коммуникативно-познавательной деятельности реализует нужные словосочетания, грамматические конструкции, формулы речевого этикета,соответствующие иносоциокультурным нормам коммуникативного поведения для точного выражения мыслей, уместного целесообразного применения языковых средств в соответствии с требованиями правильности,богатства и выразительности речи на изучаемом (русском) языке (О.Г Абрамкина, Б.Г. Ананьев, Н.З. Бакеева, Л.И. Божович, В.Д. Бондалстов,М.И. Васильева, С.Г. Вершловский, М.В. Всеволодова, Т.К. Донская, И.Б. Игнатова, З.Н. Иевлева, А.В. Полонский, Т.В. Самосенкова, А.И. Уман).
Быкова Г.И. [[Воспитание языковой личности в процессе преподавания лингвистических и речеведческих дисциплин]]
(Материал из различных источников в интернете)
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=841881]] *** [[ссылка 1|СодержаниеБыковаГИ]]** [[ссылка 2|Часть авторефератаБыковаГИ]]**[[ссылка 3|ЗаключениеБыковаГИ]]
---
!! "Воспитание языковой личности в процессе преподавания лингвистических и речеведческих дисциплин".
В соответствии с темой исследования были определены цель, объект, предмет и задачи.
''Цель исследования'' - выявить, теоретически обосновать педагогические возможности комплекса методико-технологических средств в процессе воспитания языковой личности студентов-словесников.
''Предмет исследования'' - воспитание языковой личности студентов-словесников методико-технологическими средствами в процессе преподавания лингвистических и речеведческих дисциплин.
''Объект исследования'' - процесс преподавания лингвистических и речеведческих дисциплин.
---
{{bgi_ar}}*[[bgi_ar]]
*[[научная новизна |bgi_ar 1 nn]]
*[[на защиту выносятся |bgi_ar 1 nzv]]
*[[гипотеза |bgi_ar 1 gipoteza]]
*[[задачи |bgi_ar 1 zadachi]]
*[[теоретическая значимость|bgi_ar 1 tzi]]
*[[практическая значимость|bgi_ar 1 pzi]]
*[[материал для размышления|bgi_ar_mdr]]
{ {Cсылка на фрагмент диссертацииБыковаГИ}}*[[ссылка|Cсылка на фрагмент диссертацииБыковаГИ]]
ГИПОТЕЗА ИССЛЕДОВАНИЯ - состоит в том, что применение комплекса методико-технологических средств способствует воспитанию языковой личности студентов-словесников за счет:
формирования у студентов-словесников субъектного состояния готовности включиться в учебно-воспитательный процесс на уровне индивидуальных познавательных возможностей;
применения комплекса методико-технологических средств воспитания языковой личности студентов-словесников на каждом этапе учебной деятельности (стимулирующе-мотивационном, операционно-деятельностном и оценочно-результативном), что является условием позитивной динамики в процессе развития языковой личности студентов-словесников.
стр. 7
НАУЧНАЯ НОВИЗНА ИССЛЕДОВАНИЯ:
стр. 9
1. Определены структура и содержание языковой личности студен тов-словесников. Разработаны показатели и определены уровни ее развития (недостаточный, достаточный и высокий).
2. Создан и апробирован комплекс мстодико-технологических средств воспитания языковой личности студентов-словесников на занятиях лингвистического и речеведческого циклов факультета русского языка и литературы, к которым относятся:
а) методы и приемы воспроизведения и осмысления лингвистического и речеведческого материала: объяснение, рассуждение, рефлексия, пример;
б) методы организации деятельности: упражнения, создание педагогических ситуаций, инструктаж, педагогическое требование, создание проблемных ситуаций, анализ ситуаций, деловая игра, интерактивное обучение;
в) методы стимулирования деятельности студентов-словесников: поощрение и наказание, создание ситуаций успеха, опора на положительное в человеке, выделение положительно!-о в деятельности, соревнование;
г) методы контроля, самоконтроля и самооценки деятельности и поведения: самоконтроль и контроль, оценка и самооценка, рецензирование и редактирование, проверка и оценивание адекватности воспроизведения предложенного текста, анализ созданных речевых произведений (речевого идеала).
стр. 10?
НА ЗАЩИТУ ВЫНОСЯТСЯ следующие положения:
# Языковая личность студентов-словесников характеризуется как совокупность способностей и качественных характеристик человека, которые обусловливают создание и восприятие речевых произведений, а в целом - уровень владения языком. К числу таких способностей мы относим осознание языка как феномена культуры, способность к анализу чужой и собственной речи, совершенствование собственных коммуникативных умений, умение анализировать свои коммуникативный опыт, умение корректировать собственную речевую практику, осознание необходимости расширения собственного языкового пространства.
# Воспитание языковой личности студентов-словесников возможно при условии обеспечения системного использования предлагаемого комплекса методико-технологических средств на каждом этапе учебной деятельности (стимулирующе-мотивационном, операционно-деятельностном и оценочно-результативном).
ПРАКТИЧЕСКАЯ ЗНАЧИМОСТЬ ИССЛЕДОВАНИЯ
связана с разработкой комплекса методико-технологических средств воспитания языковой личности студентов-словесников на занятиях лингвистического и речеведческого циклов факультета русского языка и литературы и их широким применением. Результаты исследования, разработанная технология воспитания языковой личности могут быть использованы в процессе преподавания русского языка в общеобразовательной школе, в классах с углубленным изучением русского языка, в высших учебных заведениях при подготовке и чтении спецкурсов, спецсеминаров, при подготовке лекций и практических занятий, при написании курсовых и дипломных работ. Повышение профессиональной подготовки сгудентов-словесников обеспечить профессионально-методическую перспективу совершенствования его как языковой личности, стимулирует творческую и педагогическую деятельность, приобщает к научно-исследовательской деятельности по данному кругу проблем.
ТЕОРЕТИЧЕСКАЯ ЗНАЧИМОСТЬ ИССЛЕДОВАНИЯ состоит в том, что определены понятие языковой личности студентов-словесников, ее структура и содержание, а также выявлены педагогические возможности комплекса методико-технологических средств воспитания языковой личности студентов-словесников.
На основе анализа философских, лингвистических, психолингвистических, педагогических теорий осуществлена попытка рассмотрения языковой личности как феномена культуры.
В соответствии с целью, предметом и гипотезой исследования были поставлены следующие ЗАДАЧИ:
1. На основе историко-логического анализа лингвистической и психолого-педагогической литературы определить сущность и структуру языковой личности студентов-словесников; выявить показатели и уровни развития языковой личности студентов-словесников.
стр. 7
2. Сформировать у студентов-словесников субъектное состояние готовности включиться в процесс формирования языковой личности на уровне индивидуальных познавательных возможностей.
3. Определить и обосновать содержание комплекса методико- технологических средств воспитания языковой личности студентов- словесников на занятиях лингвистического и речеведческого циклов факультета русского языка и литературы педагогического вуза.
4. Экспериментально проверить педагогические возможности методико-технологического комплекса в процессе воспитания языковой личности студентов-словесников.
стр. 8
''На защиту выносятся следующие положения:''
1. Русская семантическая персонология – это одно из направлений лингвоперсонологии, объектом которого является вербально-семантический уровень ЯЛ. @@color:red; Основными методами исследования вербально-семантического уровня ЯЛ являются: а) метод условно-эталонного квантитативного семантического анализа, который позволяет выявить соотношение семантической межсловной парадигмы, в частности, лексико-семантического ряда (ЛСР), с условным словарным эталоном, представленным в «Русском семантическом словаре»; б) метод условно-эталонного квантитативно-сопоставительного семантического анализа, выявляющий соотношение наполненности лексико-семантических рядов, входящих в тексты нескольких конкретных ЯЛ. Использование методов условно-эталонного анализа межсловных семантических парадигм обусловлено динамикой и стратификацией лексического состава языка. @@
2. Сравнение идиолексикона ЯЛ с условным словарным эталоном позволяет типические и индивидуальные особенности языка личности показать в количественном измерении. Единицами такого измерения являются абсолютная наполненность лексического подмножества и лексико-семантического ряда и относительная наполненность лексического подмножества и лексико-семантического ряда.
3. Анализ семантики и парадигматических связей слов, которые использует ЯЛ в своих текстах, когнитивные и прагматические компоненты в значении слова (денотат, сигнификат и коннотации) позволяют выявить психологические, ментальные и социальные черты ЯЛ.
Для настоящей работы значимыми являются термины языковая личность и идиолект, которые употребляются в следующих значениях: идиолект – это реализация языка в текстах, созданных языковой личностью; важнейшая часть идиолекта –это идиолексикон, то есть совокупность всей используемой индивидом лексика. Языковая личность – это конкретный носитель языка со своими ментальными, психическими и социальными качествами, которые отражаются в созданных им текстах.
@@color:red; ЯЛ изучается в рамках многих научных дисциплин, и в их ряду особое место занимает лингвоперсонология, поскольку ЯЛ является основным объектом ее изучения, а не входит в ряд других объектов. Одной из первых работ программного характера для этой научной дисциплины стала статья В.П. Нерознака, в которой в качестве названия раздела лингвистики, развивающего теорию ЯЛ, был предложен термин «лингвистическая персонология» [Нерознак, 1996, с.113]. Эта наука призвана исследовать состояние языка как частночеловеческой (идиолектной), так и многочеловеческой (полилектной) ЯЛ [Там же]. В 2003 году в научный обиход был введен сокращенный вариант предложенного ранее наименования –«лингвоперсонология» [Нерознак, 2003]. Это обозначение «отвечает требованиям краткости, системности (ср. лингвокультурология, лексикология, мотивология...) и прозрачности внутренней формы» [Иванцова, 2010, с.22]. Благодаря научной и издательской деятельности Н.Д.Голева новый термин утвердил свои позиции в лингвистике. @@ Изданные в Барнауле и Кемерове сборники [Вопросы лингвоперсонологии, 2007; Лингвоперсонология, 2006] объединили усилия ученых, работающих в разных городах России. Анализ научной литературы показывает, что в настоящее время термин лингвоперсонология наиболее ак-
тивно используют сибирские лингвисты – в первую очередь, представители лингвистических школ Барнаула, Кемерова, Томска и Красноярска.
Новая научная дисциплина выделяется благодаря собственному объек-ту и предмету, что приводит к возникновению новых методов исследования. Можем ли мы говорить о том, что таковые есть у лингвоперсонологии?@@color:red; Статья «Проблемы формирования методологических основ лингвоперсонологии» [Иванцова, 2008] стала первой работой, в которой сделан обобщающий анализ используемых в лингвоперсонологии методов. Автор выделила три типа методологических трудностей изучения индивидуальной речи: 1) выбор исследуемого объекта, 2) сбор материала, 3) анализ материала. Вывод данной статьи таков: «в лингвоперсонологии складываются методологические установки, связанные с выбором объекта исследования, методами сбора материала и его анализа. Опираясь на традиционные методы лингвистики, теория ЯЛ вырабатывает и свою собственную методологию» [Там же, с.41]. Так, методика сбора материала включает ''непрерывное наблюдение, долговременное панельное наблюдение,соучастие, лонгитюдное наблюдение, включение в языковое существование говорящего, включенное наблюдение, традиционные приемы наблюдения, прямого опроса, лингвистического интервьюирования и тестирования''. Принципиально иными подходами к сбору материала при исследовании конкретных ЯЛ являются экспериментальные методы, которые ориентированы на получение интересующих лингвистов данных от носителей литературного языка: ''ассоциативный эксперимент, создание испытуемыми текстов, задания по преобразованию исходного текста''. @@
Рассматривая основные методы исследования ЯЛ, Е.В.Иванцова отмечает, что «лингвоперсонология опирается на традиционные общенаучные и собственно лингвистические способы анализа исследуемого объекта, заимствует их из смежных с языкознанием дисциплин и отдельных частных областей лингвистики, приспосабливая к изучению новой области научного знания, и вместе с тем формулирует свои специфические методы» [Там же, с.33]. Определяя направление лингвоперсонологического анализа, лингвис-
ты чаще всего выбирают индуктивный подход от конкретного к абстрактному, от текста к автору, однако при описании «коллективной ЯЛ» встречается и дедуктивный подход.
Распространенным общенаучным методом в лингвоперсонологии является описательный метод (метод научного описания), который заключается «в планомерной инвентаризации единиц языка и объяснении особенностей их строения и функционирования» [Ахманова, 1966, с.233]. Популярен в лингвоперсонологии лексикографический метод, суть которого состоит в том, что разнообразные свойства языковых единиц представляются с помощью системы словарных статей. В настоящее время издано большое количество словарей языка писателей [Байрамова, Никишаева, 2002–2005; Воробьева, 2002; Словарь языка Достоевского, 2001 и др.], политиков [Самотик, 2004] и рядовых говорящих [Лютикова, 2000; Полный словарь диалектной языковой личности, 2006–2012; Толстова, 2004 и др.]. Для определения особенностей индивидуального стиля используют также методы математической лингвистики [Байтов, Сорокин, 1977; Синелева, 2003; Мухин, 2011; Напреенко, 2015].
Несомненно, что классификация современных лингвоперсонологических направлений должна учитывать то, что при изучении ЯЛ выделяются три основных уровня абстракции, которые описал Ю.Н.Караулов:
а) личность как индивидуум и автор текстов, обладающий «своим характером, интересами, социальными предпочтениями и психологическими установками»;
б) личность как типовой представитель данной языковой общности и более узкого входящего в нее коллектива, совокупный или усредненный носитель данного языка;
в) личность как представитель человеческого рода вообще, «неотъемлемым свойством которого является использование знаковых систем и прежде всего естественного языка» [Караулов, 1997, с.671].
Профессиональная ЯЛ и профессиональный дискурс в структуре ЯЛ описаны в следующих работах: [Астафурова, 1998; Линецкая, 2002; Шапкарина, 2002; Лазуренко, 2006; Кущенко, 2008 и др.]. Естественно, @@color:red; что наибольшее внимание уделяется тем профессиям, в которых речевая деятельность преобладает. @@
[ext[ссылка|https://brython.info/]]
Группа 13.00.08 представляет особый интерес так как тут представлены диссертации в области профессионального образования.
Общим для рассматриваемых диссертаций является контингент обучаемых это либо студенты вузов либо обучаемые в системе дополнительного профессионального образования.
Диссертация А.В. [[Юрьевой|Юрьева]] [[[19|Лингвориторический идеал как фактор становления профессиональной языковой личности будущего учителя]]] продолжает традицию сочинской лингвориторической школы А.А. Ворожбитовой рассматривая вопросы становления профессиональной личности учителя с позиций парадигмы лингвориторического идеала. [[[19, с.4]|yuav_ar_s4_3]]
@@color:green;Отмечая что в области воспитательных функций педвуза в 90 годы были допущены ошибочные решения которые привели к дефициту социально значимых и личностно привлекательных идеалов что сказалось на мотивациии студентов к учению, самосовершенствованию, человеческому и профессиональному росту. Это пагубно отразилось на качестве знаний, умении и навыков по изучаемым дисциплинам и в конечном счете на формировании личностных и профессиональная качеств будущего педагога.@@ [[[19, с. 3]|yuav_ar_s3_1]]
Учитывая что "речь учителя выступает наиболее важным компонентом его педагогического мастерства, т.к. основным «орудием труда» любого преподавателя является слово,"[[[19, с. 12]|yuav_ar_s12_1]] которое находит отражение в концепте «языковая личность», А.В. Юрьева исследует содержание понятий «языковая личность», «профессиональная языковая личность» и предлагает модель профессиональной языковой личности учителя с учетом категории лингвориторического идеала[[[19, с. 12]|yuav_ar_s12_2]].
В итоге диссертантом предложена блочная модель процесса становления профессиональной языковой личности учителя в ходе вузовской подготовки в которой одним из основных элементов является категория лингвориторического идеала. [[[19, с. 13]|yuav_ar_s13_3]]
Следует отметить что рассматривается профессиональная языковая личность студента вуза готовящего учителя то есть специалиста гуманитарного профиля.
Диссертация другого представителя сочинской лингвориторической школы Н.А. [[Дацун]] [[[20|Билингвальная подготовка будущего юриста как профессиональной языковой личности (на материале изучения английского языка)]]] посвещена билингвальной подготовке юристов как профессиональной языковой личности. Автор естественно придерживается концепции лингвориторического идеала, а именной билингвальной лингвориторической-компетенции. на материале английского языка.
В диссертации разработана "идеальная модель выпускника «юрист как профессиональная языковая личность», выступающая педагогической конкретизацией социального заказа на профессиональную подготовку юриста в условиях глобализации мирового социокультурного и экономического пространства" [[[20, с.16 |dna_ar_s16_2]]]. Разработанная модель состоит из 4 компонентов 1) билингвальной лингвориторической компетенции как теоретико-операциональная основы сопряженного функционирования вербально-семантической и лингвокогнитивной подструктур языковой личности, 2) общей социомежкультурная эрудиции и 3) профессиональной юридической компетенции 4) демократической стратегии социомежкультурной коммуникации
В диссертации С.Ю. [[Годуновой|Годунова]] [21] исследуются педагогические условия развития языковой личности студента технического вуза.
Автор проводит анализ теоретико-методологического статуса проблемы языковой личности в философской, культурологической, психологической и лингвистической науках.
Языковая личность представляет собой совокупность социально-психологических и педагогических свойств человека, определяющих ее способность к творческой текстовой деятельности и отображению специфической национально-языковой картины мира, конструктивное взаимодействие с окружающей средой, открытость для восприятия и адаптации в иной ментально-языковой среде с целью приобщения к иноязычной культуре и определения своего места в спектре различных культур
Следует отметить что в данной диссертации логика "исследования привела к необходимости соизучения родного и иностранного языков, родной и иноязычной культур в процессе иноязычного образования" [[[21 c. 69]|gsyu_dis_s69]]
Рассматривая другие диссертации специальности 13.00,08 следует выделить докторскую диссертацию С.Д. [[Пивкин]]а [22]. Это единственная докторская диссертация по языковой личности в теории и методике профессионального образования.
В данной диссертации решалась проблема "... выявлении и обосновании теоретико-методологических и дидактических основ самореализации языковой личности переводчика в системе дополнительного профессионального образования" [[[22 c. 4]|psd_ar_s4_3]] что и определило предмет исследования, причем под переводчиком подразумевался не профессиональный лингвист или филолог, а выпускника технического или экономического вуза.
Концепция языковой личности тем и продуктивна, что она связывает в некое онтологическое единство все грани языковой личности, включая ее аутентичность в овладении родным языком, профессиональным подъязыком и черты, приобретенные в процессе изучения иностранного языка [[[22 c. 3]|psd_ar_s3_4]]
Выводы Первые три диссертации рассматривают вопросы развития языковой личности студентов, в диссертации С.Д. Пивкина исследуемый контингент - профессионалы @@color:green; повышающие свой уровень@@ в системе дополнительного профессионального образования
Следует отметить, что только одна диссертация А.В. Юрьевой ориентирована на профессионалов филологов, три остальные рассматривают вопросы формирования языковой личности юристов (Н.А. Дацун )и специалистов технических специальностей (С.Ю. Годунова, С.Д. Пивкин).
5 169
Период с 2002 по 2012 год
Юрьева А.В. профессиональной языковой будущего +личности учителя: – Сочи, 2002. – 22 с.
Дацун Н.А. будущего юриста как профессиональной языковой личности (на материале изучения английского языка): автореф. дис. … канд. пед. наук. – Майкоп, 2007. – 23 с.
Годунова С.Ю. развития языковой личности студента технического вуза 2008. – 26 с.
Пивкин С.Д. Самореализация языковой личности переводчика в системе дополнительного профессионального образования: автореф. Ульяновск, 2012. – 24 с.
Поиск диссертационных работ по специальности 13.00.08 "Теория и методика профессионального образования" показал что за искомый период было защищено четыре диссертации защита которых проходила в 2002 - 2012 годах.
Группа представляет особый интерес так как тут представлены диссертации в области профессионального образования.
Общим для рассматриваемых диссертаций является контингент обучаемых это либо студенты вузов либо обучаемые в системе дополнительного профессионального образования.
Диссертация А.В. [[Юрьевой|Юрьева]] [[[17]|Лингвориторический идеал как фактор становления профессиональной языковой личности будущего учителя]] продолжает традицию сочинской лингвориторической школы А.А. Ворожбитовой рассматривая вопросы становления профессиональной личности учителя с позиций парадигмы лингвориторического идеала. [[[17, с.4]|yuav_ar_s4_3]]
@@color:green;Отмечая что в области воспитательных функций педвуза в 90 годы были допущены ошибочные решения которые привели к дефициту социально значимых и личностно привлекательных идеалов что сказалось на мотивациии студентов к учению, самосовершенствованию, человеческому и профессиональному росту. Это пагубно отразилось на качестве знаний, умении и навыков по изучаемым дисциплинам и в конечном счете на формировании личностных и профессиональная качеств будущего педагога.@@ [[[19, с. 3]|yuav_ar_s3_1]]
Учитывая что "речь учителя выступает наиболее важным компонентом его педагогического мастерства, т.к. основным «орудием труда» любого преподавателя является слово,"[[[17, с. 12]|yuav_ar_s12_1]] которое находит отражение в концепте «языковая личность», А.В. Юрьева исследует содержание понятий «языковая личность», «профессиональная языковая личность» и предлагает модель профессиональной языковой личности учителя с учетом категории лингвориторического идеала[[[19, с. 12]|yuav_ar_s12_2]].
В итоге диссертантом предложена блочная модель процесса становления профессиональной языковой личности учителя в ходе вузовской подготовки в которой одним из основных элементов является категория лингвориторического идеала. [[[17, с. 13]|yuav_ar_s13_3]]
Следует отметить что рассматривается профессиональная языковая личность студента вуза готовящего учителя то есть специалиста гуманитарного профиля.
Диссертация другого представителя сочинской лингвориторической школы Н.А. [[Дацун]] [[[18|Билингвальная подготовка будущего юриста как профессиональной языковой личности (на материале изучения английского языка)]]] посвещена билингвальной подготовке юристов как профессиональной языковой личности. Автор естественно придерживается концепции лингвориторического идеала, а именной билингвальной лингвориторической-компетенции. на материале английского языка.
В диссертации разработана "идеальная модель выпускника «юрист как профессиональная языковая личность», выступающая педагогической конкретизацией социального заказа на профессиональную подготовку юриста в условиях глобализации мирового социокультурного и экономического пространства" [[[18, с.16 |dna_ar_s16_2]]]. Разработанная модель состоит из 4 компонентов 1) билингвальной лингвориторической компетенции как теоретико-операциональная основы сопряженного функционирования вербально-семантической и лингвокогнитивной подструктур языковой личности, 2) общей социомежкультурная эрудиции и 3) профессиональной юридической компетенции 4) демократической стратегии социомежкультурной коммуникации
В диссертации С.Ю. [[Годуновой|Годунова]] [[[19]|АвторефератГодуноваСЮ]] исследуются педагогические условия развития языковой личности студента технического вуза.
Автор проводит анализ теоретико-методологического статуса проблемы языковой личности в философской, культурологической, психологической и лингвистической науках.
Языковая личность представляет собой совокупность социально-психологических и педагогических свойств человека, определяющих ее способность к творческой текстовой деятельности и отображению специфической национально-языковой картины мира, конструктивное взаимодействие с окружающей средой, открытость для восприятия и адаптации в иной ментально-языковой среде с целью приобщения к иноязычной культуре и определения своего места в спектре различных культур
Следует отметить что в данной диссертации красной нитью проходит идея необходимости соизучения родного и иностранного языков, родной и иноязычной культур [[[19 c. 11]|gsyu_ar_s11_2]] в процессе изучения иностранного языка
Рассматривая другие диссертации специальности 13.00,08 следует выделить докторскую диссертацию С.Д. [[Пивкин]]а [[[20]|АвторефератПивкинСд]]. Это единственная докторская диссертация по языковой личности в теории и методике профессионального образования.
В данной диссертации решалась проблема "... выявлении и обосновании теоретико-методологических и дидактических основ самореализации языковой личности переводчика в системе дополнительного профессионального образования" [[[20 c. 4]|psd_ar_s4_3]] что и определило предмет исследования, причем под переводчиком подразумевался не профессиональный лингвист или филолог, а выпускника технического или экономического вуза.
Концепция языковой личности тем и продуктивна, что она связывает в некое онтологическое единство все грани языковой личности, включая ее аутентичность в овладении родным языком, профессиональным подъязыком и черты, приобретенные в процессе изучения иностранного языка [[[20 c. 3]|psd_ar_s3_4]]
Выводы Первые три диссертации рассматривают вопросы развития языковой личности студентов, в диссертации С.Д. Пивкина исследуемый контингент - профессионалы @@color:green; повышающие свой уровень@@ в системе дополнительного профессионального образования
Следует отметить, что только одна диссертация А.В. Юрьевой ориентирована на профессионалов филологов, три остальные рассматривают вопросы формирования языковой личности юристов (Н.А. Дацун )и специалистов технических специальностей (С.Ю. Годунова, С.Д. Пивкин).
ВВЕДЕНИЕ
АКТУАЛЬНОСТЬ ИССЛЕДОВАНИЯ. Обращение к проблеме воспитания языковой личности студентов-словесников обусловлено социальными, психологическими и педагогическими причинами. С социальной точки зрения постановка данной проблемы вызвана демократическим обновлением нашего общества, гуманизацией всей системы обучения. Гуманизация образования и обучения представляет собой ориентацию на создание наиболее благоприятных условий для развития личности обучаемого, его самоопределения, самосовершенствования и самореализации.
Воспитание языковой личности приобретает особое значение в современных условиях, когда наблюдаются тенденции кризиса системы образования, выражающиеся в негативном отношении как к образовательным программам, так и результатам образования. Одним из путей выхода из кризиса является реализация принципов гуманизации системы обучения, что предполагает изменение отношения участника образовательного процесса из пассивного объекта в акгивного участника образовательной деятельности.
Накопленный опыт и новые социальные условия позволяют более четко определить ориентиры воспитания студентов-словесников как языковой личности,
Проблема, обозначенная в нашем исследовании, рассматривалась в работах Г.И.Богина, Н.Н.Богуславской, Р.А.Будагова, В.Д.Виноградова, Л.С.Выготского, И.Р.Гальперина, В.В.Давыдова, Ю.Н.Караулова, Т.А.Ладыженской И.Б.Тарасовой и других.
В последние годы появились научные труды, в которых разрабатывается такие аспекты проблемы воспитания языковой личности, как модель языковой личности (Г.И.Богин), выделение уровней организации языковой личности (Ю.Н.Караулов), взаимообусловленность культурного
4
состояния современного русского языка и формирования языковой личности (Н.А.Купина), коммуникативно-деятельностная сторона языковой личности (ИВ.Сентенберг).
В педагогической науке были разработаны психолого-педагогические концепции, теория деятельностного подхода (А.Н. Леонтьев, О.В.Данилевич и др.)т личностный подход в образовании (А.В.Петровский, Л.И.Божович, А.Г.Асмолов и др), учет возрастных особенностей в процессе обучения и воспитания (А.С.Белкин, Д.Б.Эльконин, Н.Д.Девитов, А.В.Мудрик и др), положение о гуманизации образования (Ш.А.Амонашвили, А.А.Ьодалев, Ь.В.Бондаревская, А.В.Сухомлинский).
На современном этапе перед школой встает одна из актуальных задач - задача воспитания языковой личности, что предполагает наличие таких способностей у человека, которые обусловливают уровень владения родным языком.
В психолингвистической литературе языковая личность трактуется как "целостный феномен" (ЮЛ.Караулов), как "многослойный и многокомпонентный набор языковых способностей, умений, готовностей к осуществлению речевых поступков разной степени сложности" (Г.И.Ьогин), как "совокупность способностей человека", взаимосвязанных с уровнем овладения языком (Н.КБогуславская). Таким образом, развитая языковая личность - это личность, свободно владеющая большим запасом языковых (лексических и грамматических) средств, правильно и эффективно использующая их в разнообразных видах общения (монолог, диалог и другие формы полилогического общения) с учетом реальной коммуникативной ситуации.
В нашем исследовании воспитание языковой личности студентов-словесников рассматривается на занятиях лингвистического и речеведче-ского циклов факультета русского языка и литературы, результатом которого должно стать формирование личности, способной свободно и правильно говорить, создавать устные и письменные тексты для решения
5 коммуникативных задач, эффективно извлекать информацию из чужой речи, соблюдать этические нормы речевого поведения. Вышеназванные черты языковой личности являются важнейшими компонентами общей культуры человека и особенно значимы для будущих педагогов.
Однако следует отметить, что вопросам воспитания языковой личности в совокупности способностей, обусловливающих уровень культурно-речевых навыков, в научной литературе в целом отводится недостаточное место. Высшая школа не владеет еще в полной мере ни содержательной, ни процессуальной сторонами воспитания языковой личности студентов-словесников. Несмотря на достаточно широкий круг исследований по вопросам воспитания личности студентов-словесников, проблема воспитания языковой личности требует дальнейшей разработки.
Очевидным становится противоречие между потребностью общества в выпускниках высшей школы с высоким уровнем владения языком и недостаточной разработанностью методики и технологии, обеспечивающих эффективность воспитания языковой личности студентов-словесников на занятиях лингвистического и речеведческого циклов.
В теории и практической деятельности обозначилась проблема, требующая научного разрешения и состоящая в необходимости разработки и апробации основных методико-технологических средств, обеспечивающих воспитание языковой личности студентов-словесников.
Разрешение этой проблемы возможно при условии разработки комплекса методико-технологических средств, способствующих достижению высоких результатов в процессе воспитания языковой личности студентов-словесников.
Актуальность исследования, выявленные противоречия и практическая потребность в разработке комплекса методико-технологических средств воспитания языковой личности позволили нам сформулировать тему исследования следующим образом: "ВОСПИТАНИЕ ЯЗЫКОВОЙ
6
ЛИЧНОСТИ В ПРОЦЕССЕ ПРЕПОДАВАНИЯ ЛИНГВИСТИЧЕСКИХ И РЕЧЕВЕДЧЕСКИХ ДИСЦИПЛИН ".
В соответствии с темой исследования были определены цель, объект, предмет и задачи.
ЦЕЛЬ ИССЛЕДОВАНИЯ - выявить, теоретически обосновать педагогические возможности комплекса мстодико-технологичсских средств в процессе воспитания языковой личности студентов-словесников.
ОБЪЕКТ ИССЛЕДОВАНИЯ - процесс преподавания лингвистических и речеведческих дисциплин.
ПРЕДМЕТ ИССЛЕДОВАНИЯ - воспитание языковой личности студентов-словесников методико-технологическими средствами в процессе преподавания лингвистических и речеведческих дисциплин.
ГИПОТЕЗА ИССЛЕДОВАНИЯ - состоит в том, что применение комплекса методико-технологических средств способствует воспитанию языковой личности студентов-словесников за счет:
формирования у студентов-словесников субъектного состояния готовности включиться в учебно-воспитательный процесс на уровне индивидуальных познавательных возможностей;
применения комплекса методико-технологических средств воспитания языковой личности студентов-словесников на каждом этапе учебной деятельности (стимулирующе-мотивационном, операционно-деятельностном и оценочно-результативном), что является условием позитивной динамики в процессе развития языковой личности студентов-словесников.
В соответствии с целью, предметом и гипотезой исследования были поставлены следующие ЗАДАЧИ:
1. На основе историко-логического анализа лингвистической и психолого-педагогической литературы определить сущность и структуру языковой личности студентов-словесников; выявить показатели и уровни развития языковой личности студентов-словесников.
7
2. Сформировать у студентов-словесников субъектное состояние го
товности включиться в процесс формирования языковой личности на
уровне индивидуальных познавательных возможностей.
3. Определить и обосновать содержание комплекса методико-
технологических средств воспитания языковой личности студентов-
словесников на занятиях лингвистического и речеведческого циклов фа
культета русского языка и литературы педагогического вуза.
4. Экспериментально проверить педагогические возможности методи-
ко-технологического комплекса в процессе воспитания языковой личности
студентов-словесников.
МЕТОДОЛОГИЧЕСКОЙ ОСНОВОЙ ИССЛЕДОВАНИЯ явились классические и новейшие положения и выводы философии образования (теория воспитания личности), психологии и педагогики о социальной детерминированности процессов воспитания личности, учение о личности как субъекте общественных отношений, своеобразии личности как общественной ценности, диалектические положения о единстве общего, особенного и единичного.
ТЕОРЕТИЧЕСКУЮ ОСНОВУ ИССЛЕДОВАНИЯ составили теория развития личности (Л.И.Ьожович, Л. С. Вы го тс кий, В.В.Давыдов, А.Н.Леонтьев и др); теория возрастной педагогики (В.С.Безрукова, А.С.Белкин и др); теория деятельное гного подхода в формировании личности {М.Я.Басов, А.НЛеонтьев, С.Л.Рубинштейн, Г.И.Щукина и др.); концепция личностного подхода в образовании (К.А.Абульханова, А.С.Белкин, А.В.Мудрик и др); о гуманизации учебно-воспитательного процесса (В.И.Загвязинскмй, А.А.Маркова, В.А.Сухомлинский Д.Д.Ушинский и др)
Для проверки гипотезы исследования и решения поставленных задач использовались следующие МЕТОДЫ ИССЛЕДОВАНИЯ:
- теоретические: историко-логический анализ философской, психолого-педагогической, лингвистической литературы, системный подход;
8 - эмпирические: педагогический эксперимент, включающий прямое
и косвенное наблюдение; анкетирование, тестирование; анализ продуктов деятельности; количественный и качественный анализ полученной информации; создание особых педагогических ситуаций; графическая и математическая обработка результатов исследования.
ОСНОВНЫЕ ЭТАПЫ ИССЛЕДОВАНИЯ.
Первый этап (1990 - 1993гг.) - изучение и анализ философской, психолого-педагогической, научно-методической и учебной литературы по проблеме исследования; определение методологической и теоретической базы исследования; изучение опыта работы педагогов со студентами факультета русского языка и литературы; определение цели, гипотезы и задач исследования.
Второй этап ( 1994 - 1997гг.) - проведение педагогического эксперимента с целью проверки гипотезы исследования, разработка системы методико-технологических средств, применяемых на занятиях лингвистических и речеведческих дисциплин факультета русского языка и литературы; определение педагогических возможностей разработанного комплекса в процессе воспитания языковой личности студентов-словесников.
Третий этап (1998-1999) - теоретическая и статистическая обработка результатов опытно-экспериментальной работы; осмысление и систематизация полученных результатов; формулировка выводов и рекомендаций.
БАЗОЙ ИССЛЕДОВАНИЯ явились факультет русского языка и литературы Уральского государственного педагогического университета, средние общеобразовательные школы г.Екатеринбурга (№№ 11, 178, 67), школа-гимназия №99 (г.Екатеринбург), школа-лицей №40 (г. Екатеринбург).
НАУЧНАЯ НОВИЗНА ИССЛЕДОВАНИЯ:
9
1. Определены структура и содержание языковой личности студен
тов-словесников. Разработаны показатели и определены уровни ее разви
тия (недостаточный, достаточный и высокий).
2. Создан и апробирован комплекс мстодико-технологических
средств воспитания языковой личности студентов-словесников на занятиях
лингвистического и речеведческого циклов факультета русского языка и
литературы, к которым относятся:
а) методы и приемы воспроизведения и осмысления лингвистиче
ского и речеведческого материала: объяснение, рассуждение, рефлексия,
пример;
б) методы организации деятельности: упражнения, создание педа
гогических ситуаций, инструктаж, педагогическое требование, создание
проблемных ситуаций, анализ ситуаций, деловая игра, интерактивное обу
чение;
в) методы стимулирования деятельности студентов-словесников:
поощрение и наказание, создание ситуаций успеха, опора на положитель
ное в человеке, выделение положительно!-о в деятельности, соревнование;
г) методы контроля, самоконтроля и самооценки деятельности и
поведения: самоконтроль и контроль, оценка и самооценка, рецензирова
ние и редактирование, проверка и оценивание адекватности воспроизведе
ния предложенного текста, анализ созданных речевых произведений (рече
вого идеала).
ТЕОРЕТИЧЕСКАЯ ЗНАЧИМОСТЬ ИССЛЕДОВАНИЯ состоит в том, что определены понятие языковой личности студентов-словесников, ее структура и содержание, а также выявлены педагогические возможности комплекса методико-технологических средств воспитания языковой личности студентов-словесников.
На основе анализа философских, лингвистических, психолингвистических, педагогических теорий осуществлена попытка рассмотрения языковой личности как феномена культуры.
10 ПРАКТИЧЕСКАЯ ЗНАЧИМОСТЬ ИССЛЕДОВАНИЯ связана
с разработкой комплекса методико-технологических средств воспитания языковой личности студентов-словесников на занятиях лингвистического и речеведческого циклов факультета русского языка и литературы и их широким применением. Результаты исследования, разработанная технология воспитания языковой личности могут быть использованы в процессе преподавания русского языка в общеобразовательной школе, в классах с углубленным изучением русского языка, в высших учебных заведениях при подготовке и чтении спецкурсов, спецсеминаров, при подготовке лекций и практических занятий, при написании курсовых и дипломных работ. Повышение профессиональной подготовки сгудентов-словесников'обеспе-чить профессионально-методическую перспективу совершенствования его как языковой личности, стимулирует творческую и педагогическую деятельность, приобщает к научно-исследовательской деятельности по данному кругу проблем.
АПРОБАЦИЯ И ВНЕДРЕНИЕ РЕЗУЛЬТАТОВ ИССЛЕДОВАНИЯ. Результаты исследования, отдельные теоретические и методические положения данного исследования были обсуждены и одобрены на Всесоюзной научно-методической конференции 17-19 октября 1990г. (г.Фрунзе), на лингвистических чтениях 3-5 февраля 1992 г.Екатеринбург), на научно-практической конференции 28-29 марта 1994г. (г.Екатеринбург), на международном симпозиуме 25-27 ноября 1996г. (г.Екатеринбург), на научно-практических конференциях в марте 1996г., 1997г., 1998г.,1999г. (г.Екатеринбург).Основные положения исследования обсуждались на заседании кафедры языкознания и методики преподавания русского языка и отражены в публикациях автора. Апробация и внедрение идей и результатов исследования осуществлялись в процессе обучения студентов факультета русского языка и литературы Уральского государственного педагогического университета, в школах г.Екатеринбурга, где студенты этого факультета проходили педагогическую практику.
[ext[ссылка интернет|http://disus.ru/dissertatsii/405378-1-vospitanie-yazikovoy-lichnosti-processe-prepodavaniya-lingvisticheskih-rechevedcheskih-disciplin.php]]
[ext[ссылка|http://www.it-claim.ru/News/news2011.php]]
лингвистика
[ext[ссылка|http://karaulov.it-claim.ru//index.htm]]
Дрянгина Е.А. Обучение студентов-филологов ассоциативно-образным средствам репрезентации языковой личности учителя
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=1145561]]*[ext[ссылка 2|https://new-disser.ru/_avtoreferats/01004985768.pdf]]
[[dea_ar 1]]
---
* {{dea_ar_s5_2}}*[[dea_ar_s5_2]]
* {{dea_ar_s5_3}}*[[dea_ar_s5_3]]
* {{dea_ar_s5_4}}*[[dea_ar_s5_4]]
* {{dea_ar_s5_5_0}}*[[dea_ar_s5_5_0]]
* {{dea_ar_s5_5_1}}*[[dea_ar_s5_5_1]]
* {{dea_ar_s5_5_2}}*[[dea_ar_s5_5_2]]
* {{dea_ar_s5_6_0}}*[[dea_ar_s5_6_0]]
* {{dea_ar_s5_6_1}}*[[dea_ar_s5_6_1]]
* {{dea_ar_s5_6_2}}*[[dea_ar_s5_6_2]]
* {{dea_ar_s5_6_3}}*[[dea_ar_s5_6_3]]
* {{dea_ar_s5_6_4}}*[[dea_ar_s5_6_4]]
* {{dea_ar_s5_6_5}}*[[dea_ar_s5_6_5]]
* {{dea_ar_s5_6_6}}*[[dea_ar_s5_6_6]]
* {{dea_ar_s6_2_0}}*[[dea_ar_s6_2_0]]
* {{dea_ar_s6_2_1}}*[[dea_ar_s6_2_1]]
* {{dea_ar_s6_2_2}}*[[dea_ar_s6_2_2]]
* {{dea_ar_s6_2_3}}*[[dea_ar_s6_2_3]]
{ {dea_ar_s6_2}}*[[dea_ar_s6_2]]
* {{dea_ar_s6_3_0}}*[[dea_ar_s6_3_0]]
* {{dea_ar_s6_3_1}}*[[dea_ar_s6_3_1]]
* {{dea_ar_s6_3_2}}*[[dea_ar_s6_3_2]]
* {{dea_ar_s6_3_3}}*[[dea_ar_s6_3_3]]
* {{dea_ar_s6_4}}*[[dea_ar_s6_4]]
* {{dea_ar_s7_1}}*[[dea_ar_s7_1]]
* {{dea_ar_s7_4_0}}*[[dea_ar_s7_4_0]]
* {{dea_ar_s7_4_1}}*[[dea_ar_s7_4_1]]
* {{dea_ar_s7_4_2}}*[[dea_ar_s7_4_2]]
* {{dea_ar_s7_4_3}}*[[dea_ar_s7_4_3]]
* {{dea_ar_s8_1_1}}*[[dea_ar_s8_1_1]]
---
* {{dea_ar_s8_5}}*[[dea_ar_s8_5]]
* {{dea_ar_s8_7}}*[[dea_ar_s8_7]]
* {{dea_ar_s9_2}}*[[dea_ar_s9_2]]
* {{dea_ar_s9_4_0}}*[[dea_ar_s9_4_0]]
* {{dea_ar_s9_4_1}}*[[dea_ar_s9_4_1]]
* {{dea_ar_s9_4_2}}*[[dea_ar_s9_4_2]]
* {{dea_ar_s9_4_3}}*[[dea_ar_s9_4_3]]
* { {dea_ar_s9_4}}*[[dea_ar_s9_4]]
* {{dea_ar_s10_1}}*[[dea_ar_s10_1]]
Дрянгина Е.А. [[Обучение студентов-филологов ассоциативно-образным средствам репрезентации языковой личности учителя]]
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=1145561]]*[ext[ссылка 2|https://new-disser.ru/_avtoreferats/01004985768.pdf]]
[[dea_ar]]
---
!!''Обучение студентов-филологов ассоциативно-образным средствам репрезентации языковой личности учителя''
*''Цель диссертационного исследования'' - разработка и экспериментальная проверка методики обучения студентов-филологов использованию метафоры и прецедентного текста как ассоциативно-образных средств репрезентации языковой личности педагога.
*''Предмет исследования'' - методика обучения будущих учителей русского языка ассоциативно- образным средствам репрезентации языковой личности педагога.
*''Объект исследования'' - процесс обучения студентов-филологов ассоциативно-образным средствам репрезентации языковой личности педагога.
---
{ {dea_ar_s5_4}}*{ {dea_ar_s5_3}}*{ {dea_ar_s5_2}}
---
*[[научная новизна |dea_ar 1 nn]]
*[[на защиту выносятся |dea_ar 1 nzv]]
*[[гипотеза |dea_ar 1 gipoteza]]
*[[задачи |dea_ar 1 zadachi]]
*[[теоретическая значимость|dea_ar 1 tzi]]
*[[практическая значимость|dea_ar 1 pzi]]
*[[материал для размышления|dea_ar_mdr]]
---
{{dea_ar_s5_5_0}}
{{dea_ar_s5_5_1}}
{{dea_ar_s5_5_2}}
стр. 5
{{dea_ar_s6_2_0}}
{{dea_ar_s6_2_1}}
{{dea_ar_s6_2_2}}
{{dea_ar_s6_2_3}}
{{dea_ar_s7_4_0}}
{{dea_ar_s7_4_1}}
{{dea_ar_s7_4_2}}
{{dea_ar_s7_4_3}} {{dea_ar_s8_1_1}}
стр. 7-8
{{dea_ar_s6_4}} {{dea_ar_s7_1}}
стр. 6-7
{{dea_ar_s6_3_0}}
{{dea_ar_s6_3_1}}
{{dea_ar_s6_3_2}}
{{dea_ar_s6_3_3}}
стр. 6
{{dea_ar_s5_6_0}}
{{dea_ar_s5_6_1}}
{{dea_ar_s5_6_2}}
{{dea_ar_s5_6_3}}
{{dea_ar_s5_6_4}}
{{dea_ar_s5_6_5}}
{{dea_ar_s5_6_6}}
стр. 5
{{dea_ar_s8_5}}*[[dea_ar_s8_5]]
{{dea_ar_s8_7}}*[[dea_ar_s8_7]]
{{dea_ar_s9_2}}*[[dea_ar_s9_2]]
{{dea_ar_s9_4_0}}*[[dea_ar_s9_4_0]]
{{dea_ar_s9_4_1}}*[[dea_ar_s9_4_1]]
{{dea_ar_s9_4_2}}*[[dea_ar_s9_4_2]]
{{dea_ar_s9_4_3}}*[[dea_ar_s9_4_3]]
{ {dea_ar_s9_4}}*[[dea_ar_s9_4]]
{{dea_ar_s10_1}}*[[dea_ar_s10_1]]
умение импровизировать. Основные цели: научить; воспитать; группа «ситуативных» интенций: похвалить, сделать замечание, комплимент, пошутить и т.д.
''Объект исследования'' - процесс обучения студентов-филологов ассоциативно-образным средствам репрезентации языковой личности педагога.
''Предмет исследования'' - методика обучения будущих учителей русского языка ассоциативно- образным средствам репрезентации языковой личности педагога.
''Цель диссертационного исследования'' - разработка и экспериментальная проверка методики обучения студентов-филологов использованию метафоры и прецедентного текста как ассоциативно-образных средств репрезентации языковой личности педагога.
На основе анализа литературы по исследуемой теме, результатов констатирующего эксперимента была сформулирована следующая ''гипотеза'': обучение студентов-филологов использованию метафоры и прецедентного текста в качестве ассоциативно-образных средств репрезентации языковой личности будет методически эффективным при условии:
- включения в содержание обучения будущих специалистов сведений о метафоре и прецедентном тексте как средствах репрезентации языковой личности учителя-филолога, актуальных для различных функциональных стилей и педагогических речевых жанров;
- выполнения студентами системы заданий, направленных на формирование интегративных умений использовать метафору и прецедентный текст как: А) средства выразительности речи, Б) средства актуализации предметной сферы учебного общения, В) средства усиления интенсивности педагогического общения.
Выдвинутая гипотеза опирается на решение следующих ''задач'':
- проанализировать степень разработанности заявленной темы в научной литературе;
- рассмотреть «социальный заказ» на языковую личность педагога и средства ее репрезентации, представленный в дидактике, методике преподавания русского языка;
- охарактеризовать готовность студентов-филологов к использованию метафоры и прецедентного текста в качестве средств репрезентации языковой личности педагога;
- разработать программу обучения студентов использованию метафоры и прецедентного текста в качестве средств репрезентации языковой личности педагога;
- отобрать теоретический и дидактический материал для опытного обучения;
- экспериментально проверить эффективность предложенной методики.
* {{dea_ar_s6_2_0}}*[[dea_ar_s6_2_0]]
* {{dea_ar_s6_2_1}}*[[dea_ar_s6_2_1]]
* {{dea_ar_s6_2_2}}*[[dea_ar_s6_2_2]]
* {{dea_ar_s6_2_3}}*[[dea_ar_s6_2_3]]
''Научная новизна '' диссертационного исследования состоит в следующем:
- описано содержание понятий «языковая личность педагога»; «ассоциативно-образные средства репрезентации языковой личности педагога»;
- @@color:red;определены особенности метафоры и прецедентного текста (охарактеризованы семантика, состав и функции) как инвариантных ассоциативно-образных средств репрезентации языковой личности педагога, позволяющих интегрировать уровни структуры языковой личности (вербально-семантический, лингво-когнитивный, прагматический) и реализовывать ее профессиональную направленность; @@
- обоснована необходимость опоры на антропоцентрический и текстоцентрический принципы использования метафоры и прецедентного текста как ассоциативно-образных средств репрезентации языковой личности педагога
''Теоретическая значимость ''диссертационного исследования заключается в следующем:
- создана модель языковой личности педагога, соответствующая «социальному заказу», представленному в лингвистике, методике, а также косвенно отраженному в художественной литературе;
- обоснована возможность и целесообразность определения метафоры и прецедентного текста как ассоциативно-образных средств репрезентации языковой личности педагога, проанализировано проявление языковой личности в текстах, содержащих данные средства;
- разработана методика обучения студентов-филологов использованию метафоры и прецедентного текста в качестве ассоциативно-образных средств репрезентации языковой личности педагога.
''Практическая значимость'' исследования заключается в разработке системы заданий и упражнений, на основе которых у студентов формируется умение использовать метафору и прецедентный текст в качестве средств репрезентации языковой личности педагога; подборе дидактического
материала. Эти результаты могут быть использованы для преподавания курсов «Русский язык и культура речи», «Методика преподавания русского языка», «Педагогическая риторика».
''Основные положения, выносимые на защиту'':
1. Обучение студентов-филологов средствам репрезентации языковой личности способствует развитию их умений анализировать профессиональную речь, эффективно использовать ее как средство решения профессиональных педагогических задач.
2. Целесообразность обучения будущих филологов ассоциативно-образным средствам репрезентации языковой личности обусловлена тем, что данные средства позволяют интегрировать в процессе профессиональной коммуникации все уровни языковой личности педагога и побуждать учащегося к проявлениям собственной языковой личности.
3. В основе методики обучения будущих филологов ассоциативно-образным средствам репрезентации языковой личности лежат текстоцентрический и антропоцентрический принципы: текст рассматривается, прежде всего, как речевое произведение, раскрывающее особенности языковой личности автора, его речевые предпочтения, картину мира, жизненные цели, мотивы и
установки. При этом, во-первых, изучается понятие языковой личности педагога и особенности ее проявления в тексте с опорой на знания студентов о речевой ситуации, об авторе речи. Во-вторых, рассматривается система средств репрезентации языковой личность педагога с учетом требований коммуникативных качеств речи. В-третьих, изучаются ассоциативно-образные средства репрезентации языковой личности педагога в текстах разных стилей и жанров.
Понятие языковой личности разработано в научной литературе достаточно глубоко.
В текстах, продуцируемых языковой личностью, будут черты, свидетельствующие как об отнесенности ЯЛ к определенному социальному сообществу или более узкому речевому коллективу, так и об ее индивидуальности.
В научных работах предложен целый ряд типологий ЯЛ. В их основе лежит, например, признак индивидуальности или коллективности используемых языковых средств (эгоцентрическая и социоцентрическая ЯЛ у В. В. Красных), зависимость от степени конфликтности и способности к кооперации в речевом поведении (конфликтный тип; центрированный тип; кооперативный тип ЯЛ у И. Н. Горелова и К.Ф. Седова), выбор речевой стратегии (инвективный тип, куртуазный, рационально-эвристический у них же), тип внутринациональной речевой культуры (элитарная, среднелитературная, литературно-разговорная, фамильярно-разговорная, просторечная ЯЛ у О. Б. Сиротининой) и др. .
{{dea_ar_s9_4_0}}*[[dea_ar_s9_4_0]]
{{dea_ar_s9_4_1}}*[[dea_ar_s9_4_1]]
{{dea_ar_s9_4_2}}*[[dea_ar_s9_4_2]]
{{dea_ar_s9_4_3}}*[[dea_ar_s9_4_3]]
Анализ дидактической и педагогической литературы показал, что в обществе сложилась следующая обобщенная модель идеальной языковой личности педагога:
1) вербально- семантический уровень: высокая лингвориторическая компетенция, позволяющая осуществлять
«мыслеречевую деятельность в продуктивном и рецептивном регистрах, монологическом и диалогическом режимах, устной и письменной формах», различных речевых жанрах. Повышенный самоконтроль за правильностью речи и корректирование речи окружающих, точность, логичность, выразительность и эмоциональная окрашенность (проявляющаяся, в первую очередь, через интонационное разнообразие речи и использование изобразительно- выразительных средств, в частности, метафоры).
2) лингво-когнитивный уровень: наличие общекультурных, психолого-педагогических, предметно-специальных представлений об окружающем мире. Приоритетные ценности: личность ученика, язык, общение, опыт; наличие идеалов или «образов-ориентиров»; творчество.
3) прагматический уровень: направленность на адресата, стремление к достижению коммуникативного согласия, к конструктивному диалогу, в ходе которого находятся взаимоприемлемые решения; выбор адекватных (доступных) собеседнику языковых средств общения, убедительность речи;
[[Дерябина Н.А.]] Развитие языковой личности студентов в процессе изучения иностранного языка
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=1017441]] * [ext[ссылка pdf|https://new-disser.ru/_avtoreferats/01006613917.pdf]]
*[ext[ссылка ар doc|http://science.uspu.ru/i/inst/diser/dis_d05_72a.doc]] * [ext[ссылка аннотация|http://science.uspu.ru/i/inst/diser/dis_d05_72.doc]]
[[derna_ar 1]]
---
*{{derna_ar_s3_1}}*[[derna_ar_s3_1]]
*{{derna_ar_s3_2}}*[[derna_ar_s3_2]]
*{{derna_ar_s3_3}}*[[derna_ar_s3_3]]
*{{derna_ar_s3_4}}*[[derna_ar_s3_4]]
*{{derna_ar_s4_3}}*[[derna_ar_s4_3]]
*{{derna_ar_s5_3}}*[[derna_ar_s5_3]]
*{{derna_ar_s5_4}}*[[derna_ar_s5_4]]
*{{derna_ar_s5_5}}*[[derna_ar_s5_5]]
*{{derna_ar_s5_6_0}}*[[derna_ar_s5_6_0]]
*{{derna_ar_s5_6_1}}*[[derna_ar_s5_6_1]]
*{{derna_ar_s5_6_2}}*[[derna_ar_s5_6_2]]
*{{derna_ar_s5_6_3}}*[[derna_ar_s5_6_3]]
*{{derna_ar_s5_6_4}}*[[derna_ar_s5_6_4]]
*{{derna_ar_s5_7_0}}*[[derna_ar_s5_7_0]]
*{{derna_ar_s5_7_1}}*[[derna_ar_s5_7_1]]
*{ {derna_ar_s5_6}}*[[derna_ar_s5_6]]
*{{derna_ar_s6_1_1}}*[[derna_ar_s6_1_1]]
*{{derna_ar_s6_1_2}}*[[derna_ar_s6_1_2]]
*{{derna_ar_s6_1_3}}*[[derna_ar_s6_1_3]]
*{{derna_ar_s6_1_4}}*[[derna_ar_s6_1_4]]
*{{derna_ar_s7_3_0}}*[[derna_ar_s7_3_0]]
*{{derna_ar_s7_3_1}}*[[derna_ar_s7_3_1]]
*{{derna_ar_s7_3_2}}*[[derna_ar_s7_3_2]]
*{{derna_ar_s7_3_3}}*[[derna_ar_s7_3_3]]
*{ {derna_ar_s7_3}}*[[derna_ar_s7_3]]
*{{derna_ar_s8_1_1}}*[[derna_ar_s8_1_1]]
*{{derna_ar_s8_2_0}}*[[derna_ar_s8_2_0]]
*{{derna_ar_s8_2_1}}*[[derna_ar_s8_2_1]]
*{{derna_ar_s8_2_2}}*[[derna_ar_s8_2_2]]
*{{derna_ar_s8_2_3}}*[[derna_ar_s8_2_3]]
*{ {derna_ar_s8}}*[[derna_ar_s8]]
*{{derna_ar_s9_1_0}}*[[derna_ar_s9_1_0]]
*{{derna_ar_s9_1_2}}*[[derna_ar_s9_1_2]]
*{{derna_ar_s9_1_3}}*[[derna_ar_s9_1_3]]
*{{derna_ar_s9_1_4}}*[[derna_ar_s9_1_4]]
*{ {derna_ar_s9_1}}*[[derna_ar_s9_1]]
*{{derna_ar_s9_4_0}}*[[derna_ar_s9_4_0]]
*{{derna_ar_s9_4_1}}*[[derna_ar_s9_4_1]]
*{ {derna_ar_s9_4}}*[[derna_ar_s9_4]]
*{{derna_ar_s10_1_1}}*[[derna_ar_s10_1_1]]
*{{derna_ar_s10_1_2}}*[[derna_ar_s10_1_2]]
*{{derna_ar_s10_1_3}}*[[derna_ar_s10_1_3]]
*{{derna_ar_s10_1_4}}*[[derna_ar_s10_1_4]]
*{{derna_ar_s11_3}}*[[derna_ar_s11_3]]
*{{derna_ar_s12_1}}*[[derna_ar_s12_1]]
*{{derna_ar_s12_2}}*[[derna_ar_s12_2]]
*{{derna_ar_s12_3}}*[[derna_ar_s12_3]]
[[Дерябина Н.А.]] Развитие языковой личности студентов в процессе изучения иностранного языка
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=1017441]] * [ext[ссылка pdf|https://new-disser.ru/_avtoreferats/01006613917.pdf]] *[ext[ссылка ар doc|http://science.uspu.ru/i/inst/diser/dis_d05_72a.doc]] * [ext[ссылка аннотация|http://science.uspu.ru/i/inst/diser/dis_d05_72.doc]]
[[derna_ar]]
---
!!''Развитие языковой личности студентов в процессе изучения иностранного языка''
''Цель исследования'' - теоретико-методологическое обоснование, разработка и апробация модели развития языковой личности студентов (неязыковых специальностей) при изучении английского языка в вузе.
''Предмет исследования'' - модель развития языковой личности студентов в процессе изучения английского языка.
''Объект исследования'' - процесс развития языковой личности студентов в вузовском образовании.
---
<<<
PrimYu
*{ {derna_ar_s5_3}}*{ {derna_ar_s5_5}}*{ {derna_ar_s5_4}}
<<<
---
*[[научная новизна |derna_ar 1 nn]]
*[[на защиту выносятся |derna_ar 1 nzv]]
*[[гипотеза |derna_ar 1 gipoteza]]
*[[задачи |derna_ar 1 zadachi]]
*[[теоретическая значимость|derna_ar 1 tzi]]
*[[практическая значимость|derna_ar 1 pzi]]
*[[материал для размышления|derna_ar_mdr]]
---
!! Важно
Актуальность разработки теоретико-методической и практической проблемы развития языковой личности в образовании, достижения необходимого уровня речевой культуры обусловлена нарастанием позитивных и негативных изменений в языке, последних - в виде инвективы (позднелат. invectiva (oratio) - бранная речь, от лат. invehor - бросаю, нападаю), сквернословия, нецензурных выражений, сленга, жаргона, широко используемых в социальной коммуникации. Как эмоционально насыщенный социокультурный феномен ненормативная лексика, обесценивая язык и отношения между людьми, выражается в антропологически несоразмерном речевом поведении, причиняет вред личности
*{{derna_ar_s5_6_0}}
*{{derna_ar_s5_6_1}}
*{{derna_ar_s5_6_2}}
*{{derna_ar_s5_6_3}}
*{{derna_ar_s5_6_4}}
*{{derna_ar_s7_3_0}}
*{{derna_ar_s7_3_1}}
*{{derna_ar_s7_3_2}}
*{{derna_ar_s7_3_3}}
*{{derna_ar_s8_1_1}}
{{derna_ar_s9_4_0}}
{{derna_ar_s9_4_1}}{{derna_ar_s10_1_1}}
{{derna_ar_s10_1_2}}
{{derna_ar_s10_1_3}}
{{derna_ar_s10_1_4}}
*{{derna_ar_s9_1_0}}
*{{derna_ar_s9_1_2}}
*{{derna_ar_s9_1_3}}
*{{derna_ar_s9_1_4}}
*{{derna_ar_s8_2_0}}*[[derna_ar_s8_2_0]]
*{{derna_ar_s8_2_1}}*[[derna_ar_s8_2_1]]
*{{derna_ar_s8_2_2}}*[[derna_ar_s8_2_2]]
*{{derna_ar_s8_2_3}}*[[derna_ar_s8_2_3]]
*{{derna_ar_s5_7_0}}
*{{derna_ar_s5_7_1}}
*{{derna_ar_s6_1_1}}
*{{derna_ar_s6_1_2}}
*{{derna_ar_s6_1_3}}
*{{derna_ar_s6_1_4}}
*{{derna_ar_s3_1}}*[[derna_ar_s3_1]]
*{{derna_ar_s3_2}}*[[derna_ar_s3_2]]
*{{derna_ar_s3_3}}*[[derna_ar_s3_3]]
*{{derna_ar_s3_4}}*[[derna_ar_s3_4]]
*{{derna_ar_s4_3}}*[[derna_ar_s4_3]]
*{{derna_ar_s11_3}}*[[derna_ar_s11_3]]
умений и способностей, необходимых для успешной вербальной коммуникации. @@color:red; Речевая деструктивность среды - наличие антропологически несоразмерных речевых конструктов, обесценивающих человеческие отношения, несоответствующих продуктивным экзистенциальным потребностям человека в самоактуализации, затрудняющих развитие языковой личности в целом. Языковой иммунитет - способность индивида противостоять речевой деструктивности среды, в том числе иноязычной, сохраняя свою идентичность на основе духовно-нравственной целостности @@ .
2. В основу развития языковой личности студентов при изучении английского языка положена структурно-функциональная модель, предполагающая овладение студентами совокупностью компетенций (владение грамотной устной и письменной речью; способность к адекватному переводу текстов; способность участвовать в межкультурном диалоге; @@color:red; критически рефлексивное отношение к получаемой информации; способность речевой манифестации в социокультурном пространстве; способность вербально противостоять речевой деструктивности среды; рефлексия себя как языковой личности @@ ), культурой речи (логичность, аргументированность, соблюдение языковых норм и этики общения) и содержащая показатели балльно-рейтинговой оценки. Результаты отслеживаются с помощью методического инструментария для диагностики уровней развития языковой личности (низкий, достаточный, средний, высокий).
3. Необходимыми методическими условиями успешной реализации структурно-функциональной модели являются: субъектный опыт студентов в понимании роли языка как символа культуры и осознания ценностной природы коммуникации, обусловленной языком; актуализация в обучении личностных и профессиональных потребностей для развития мотивов на изучение языка; использование интерактивных технологий для более успешного развития межкультурной коммуникации; приобретение языкового иммунитета на основе контроля речевого поведения в личностной и социальной рефлексии.
4. Реализация структурно-функциональной модели на разных факультетах и в разных группах с разными сроками изучения английского языка осуществляется посредством специально разработанной методики, модули которой позволяют варьировать формы, методы и средства обучения (упражнения, анкеты, тесты, творческие задания, в том числе профессионально ориентированные, свободное интервью, онлайн и зтз-опросы), а также неадаптированные тексты на английском и русском языках о ценности языка, речи и их взаимосвязи с мышлением на основе овладения методом герменевтического анализа.
В четвертом модуле студенты анализировали собственный лингвокод (компетенции - «рефлексия себя как языковой личности», «способность вербально противостоять деструктивности речевой среды», «способность речевой манифестации в социокультурном пространстве»). На занятии использовался текст Р. Адлера, начинающийся фразой - «появляется языковое сообщество, состоящее из людей, которые используют один и тот же языковой код». Актуализировались учебные действия целеполагания, коммуникативные, регулятивные и познавательные. @@color:red; Привлекалось внимание к понятийно-категориальному аппарату наук, изучаемых студентами @@ .
сложности; глубиной и точностью отражения действительности; определенной целевой направленностью (Ю.Н. Караулов, 1987); «собирательный культурно-исторический образ» (С.Г. Воркачев, 1996). Все авторы подчеркивают связь языка с индивидуальным и коллективным сознанием, исторически сложившейся коммуникативной культурой (О.Л. Каменская, В.П. Конецкая, Т.А. Толмачева). В контексте общего понятия «языковая личность» конкретизируется «вторичная языковая личность», определяемая как совокупность способностей человека к иноязычному общению на межкультурном уровне, адекватному взаимодействию с представителями других культур (И.И. Халеева, Н.Д. Гальскова, С.М. Андреева, И.А. Бобыкина, Н.В. Чичерина).
@@color:red;Отмечая теоретическую и инструментальную значимость приведенных в диссертации характеристик языковой личности для педагогической теории, методики и практики, мы в своей работе рассматриваем целостную языковую личность в пространстве коммуникации, «преломленную через ее язык, ее дискурс» (Ю.Н. Караулов), на основе овладения произношением, лексикой, грамматикой, стилистикой. @@ Это, как мы полагаем, является ценностью, целью, средством и результатом образования (обучения и воспитания). Поскольку в речи проявляются все потребности человека и его духовно-нравственные ориентиры, постольку считаем важным содействовать развитию языковой личности в образовательном процессе вуза (в нашем случае при изучении английского языка), и с этой целью исследуем его педагогический потенциал. Реализация выявленных компонентов данного потенциала (когнитивного, коммуникативного, воспитательного, культуротворческого и организационно-управленческого) открывает возможности разностороннего личностного и социального развития студентов на основе овладения языковыми компетенциями, совершенствования культуры речи.
Анализ ФГОС 3 поколения, ориентирующего на общекультурные и профессиональные компетенции, подтвердил, с одной стороны, верность нашего поиска, с другой, показал необходимость голографического дополнения содержательного состава компетенций (до семи), овладение которыми способствует и свидетельствует о развитии языковой личности не только в качестве результата, но цели и процесса. Личность, владеющая языковыми компетенциями, способна более успешно существовать в социокультурном пространстве, участвовать в его формировании и изменении, критически рефлексируя получаемую информацию. Для измерения уровней культуры речи в исследовании используются 4 критерия (на основе подходов Б.Н. Головина, E.H. Ширяева). Разработана критериально-уровневая шкала, включающая учебные действия (смысловые, целеполагания, познавательные, регулятивные, преобразования, коммуникативные), с помощью которой может устанавливаться достигнутый студентами уровень и отслеживаться динамика перехода с низкого на допустимый, средний и высою1Й уровни развития языковой личности (по критериям овладения языковыми компетенциями, культурой речи и балльно-рейтинговой оценки).
''Актуальность исследования.'' @@color:red; Язык как сложная семиотическая система, универсальное средство объективации содержания индивидуального сознания и культуры, национальной и личностной идентификации является предметом и средством обучения и воспитания личности. @@ Если «сущность человека покоится в языке» (М. Хайдеггер), то проявляется в языковой личности как его носителе. Современное жизненное и образовательное пространство характеризуется, с одной стороны, расширяющимися возможностями развития языковой личности с высоким уровнем овладения языковыми компетенциями, культурой речи в школьном и вузовском образовании при изучении русского и иностранного языков. С другой, стремительные изменения в языке, как «доме бытия» (М. Хайдеггер), стимулируемые динамичными социокультурными трансформациями, приводят к переориентации в ценностном отношении к языку и речи.
Актуальность педагогической и теоретико-методической @@color:red; проблемы становления и развития языковой личности усиливается воздействием СМИ, Интернета, аудиовизуальных средств, в которых нарастают источники речевой деструктивности, связанной с использованием сленга, ненормативной лексики и нецензурных выражений. @@ В частности Интернет, предоставляя каждому человеку возможность стать участником виртуального дискурса, со-автором текста (У. Эко), противоречиво влияет на развитие языковой личности. Как способ вербальной и графической манифестации в виртуальном пространстве, как устно-письменный (М. Бергельсон) вид коммуникации, сближает устную и письменную речь. Смена книжной культуры экранной, все меньшее обращение к книге и печатным источникам на русском языке, все большее использование английского языка осложняют процесс и результат развития языковой личности, достижения необходимого уровня речевой культуры. Согласно нашему исследованию, 12% студентов гуманитарных факультетов видят проблему развития языковой личности, но только половина из них рефлексирует себя как язьпсовую личность.
Актуальность разработки теоретико-методической и практической проблемы развития языковой личности в образовании, достижения необходимого уровня речевой культуры обусловлена нарастанием позитивных и негативных изменений в языке, последних - в виде инвективы (позднелат. invectiva (oratio) - бранная речь, от лат. invehor - бросаю, нападаю), сквернословия, нецензурных выражений, сленга, жаргона, широко используемых в социальной коммуникации. Как эмоционально насыщенный социокультурный феномен ненормативная лексика, обесценивая язык и отношения между людьми, выражается в антропологически несоразмерном речевом поведении, причиняет вред личности (Р. Адлер, М.М. Бахтин, А. Вежбицка, Т. Джей, Э. Тоффлер, Э. Фромм).
Понятие «языковая личность» является междисциплинарным и исследуется философией, психологией, лингвистикой, лингводидактикой, методикой преподавания русского и иностранного языков. В педагогических и
Рассматривая язык как показатель интеллектуального и духовно-нравственного развития личности, ее способностей к самоактуализации и самосовершенствованию, мы ставим проблему языковой личности студентов как теоретико-методическую и практическую. Ее решение связываем с развитием способности осознавать непреходящую ценность языка, понимать, что речь связана с мышлением и сознанием личности. Проводимое исследование убеждает в том, что все меньше образованных людей (к ним относим студентов университета) в настоящее время ценят силу слова, с которым «нужно обращаться осторожно» (Л.Н. Толстой), опасаться источников речевой деструктивности среды, вырабатывать устойчивый языковой иммунитет.
''Цель исследования'' - теоретико-методологическое обоснование, разработка и апробация модели развития языковой личности @@color:red; студентов (неязыковых специальностей) @@ при изучении английского языка в вузе.
''Объект исследования'' - процесс развития языковой личности студентов в вузовском образовании.
''Предмет исследования'' - модель развития языковой личности студентов в процессе изучения английского языка.
*{{derna_ar_s5_6_0}}*[[derna_ar_s5_6_0]]
*{{derna_ar_s5_6_1}}*[[derna_ar_s5_6_1]]
*{{derna_ar_s5_6_2}}*[[derna_ar_s5_6_2]]
*{{derna_ar_s5_6_3}}*[[derna_ar_s5_6_3]]
*{{derna_ar_s5_6_4}}*[[derna_ar_s5_6_4]]
''Гипотеза исследования.'' Процесс развития языковой личности студентов при изучении английского языка будет эффективным, если:
- выявить компонентный состав педагогического потенциала образовательного процесса и разработать структурно-функциональную модель развития языковой личности студентов;
- создать контрольно-оценочный механизм, позволяющий отслеживать достигаемые каждым студентом результаты, связанные с овладением языковыми компетенциями, показателями культуры речи и успешностью обучения;
- использовать неадаптированные тексты исследователей-носителей языка о ценности языка, речи, их взаимосвязи с мышлением, предполагающие овладение методом герменевтического анализа, а также комплекс дидактических заданий разной степени сложности;
— обеспечить методические условия, предполагающие включение субъектного опыта студентов для понимания ценности языка и речи, актуализации в обучении личностных и профессиональных потребностей, развития мотивов на изучение русского и английского языков в интерактивных дидактических технологиях.
''Задачи исследования: ''
1. Определить теоретико-методологические основы развития языковой личности студентов, анализируя философскую, культурологическую, лингвистическую, психологическую и педагогическую литературу.
2. Выявить компонентный состав педагогического потенциала образовательного процесса и соотнести его с возможностями реализации аксиологического, личностно ориентированного и компетентностного подходов в целях овладения студентами языковыми компетенциями, культурой речи, приобретения языкового иммунитета.
3. Определить структуру модели развития языковой личности студентов и условия ее реализации в процессе изучения английского языка.
4. Разработать методику развития языковой личности, предполагающую модульную структуру, которая позволит варьировать на разных факультетах и в разных группах формы, методы и средства обучения в соответствии со структурно-функциональной моделью.
5. Проверить в опытно-поисковой работе эффективность структурно-функциональной модели развития языковой личности студентов при изучении английского языка.
*{{derna_ar_s7_3_0}}*[[derna_ar_s7_3_0]]
*{{derna_ar_s7_3_1}}*[[derna_ar_s7_3_1]]
*{{derna_ar_s7_3_2}}*[[derna_ar_s7_3_2]]
*{{derna_ar_s7_3_3}}*[[derna_ar_s7_3_3]]
''Научная новизна исследования'' состоит в следующем:
1. Разработана структурно-функциональная модель развития языковой личности студентов, методологической основой которой являются функции языка (экспрессивная - рефлексия на эмоциональное отношение к высказыванию; апеллятивная - обращенность высказывания к потенциальному собеседнику; когнитивная - передача информации, основанной на знании контекста; метаязыковая - социокультурный «код» высказывания; фатическая -поддержание контакта; эстетическая - эмоциональные коннотации и субъективные переживания в речи) и совокупность аксиологического, личностно-ориентированного и компетентностного подходов. Структура модели предполагает функщюнальные связи методологического, потребностно-мотивационного, целевого, содержательного, технологического н оценочно-результативного блоков.
2. Обоснованы необходимые методические условия для успешной реализации структурно-функциональной модели: субъектный опыт студентов в понимании роли языка как символа культуры и осознания ценностной природы коммуникации, обусловленной языком; актуализация в обучении личностных и профессиональных потребностей, развития мотивов на изучение языка; использование интерактивных технологий для более успешного развития межкультурной коммуникации; приобретение языкового иммунитета на основе контроля речевого поведения в личностной и социальной рефлексии.
3. Разработана методика развития языковой личности, имеющая модульную структуру, которая позволяет варьировать на разных факультетах и в разных группах формы, методы и средства обучения в соответствии с потребностно-мотивационным, содержательным и технологическим блоками структурно-функциональной модели.
*{{derna_ar_s8_1_1}}*[[derna_ar_s8_1_1]]
*{{derna_ar_s8_2_0}}*[[derna_ar_s8_2_0]]
*{{derna_ar_s8_2_1}}*[[derna_ar_s8_2_1]]
*{{derna_ar_s8_2_2}}*[[derna_ar_s8_2_2]]
*{{derna_ar_s8_2_3}}*[[derna_ar_s8_2_3]]
4. Обосновано положение о методической целесообразности обогащения содержания и методов изучения английского языка неадапт1фованными текстами о ценности языка, речи, их взаимосвязи с мышлением и сознанием (на русском и английском языках) для более успешного развития языковой личности, достигаемого при использовании метода герменевтического анализа (предполагающего диалог с автором текста - вопрошание, интерпретация, набрасывание смыслов) и комплекса дидактических заданий разной степени сложности.
''Теоретическая значимость исследования''
1. Конкретизирован в теоретико-методическом аспекте терминологический ряд и уточнено содержание понятий. Языковая личность определяется исходя из совокупности аксиологического, личностно ориентированного и компетентностного подходов как субъект общения и деятельности на основе овладения языковыми компетенциями и достижения определенного уровня культуры речи, что дает основание существовать и участвовать в формировании социокультурного пространства дискурса, критически рефлексируя поступающую информацию и себя в речевом поведении. Языковая компетенция интерпретируется как метапредметная, имеющая в основе совокупность информационной, социокультурной, коммуникативной и личностной компетенций как общекультурных и профессиональных, необходимьк для успешной вербальной коммуникации. Речевая деструктивностъ среды определяется по критерию антропологической несоразмерности речевого поведения, разрушающего этику человеческих отношений, препятствующего развитию языковой личности.
2. Выявлен компонентный состав педагогического потенциала образовательного процесса для развития языковой личности, который реализуется в потребностно-мотивационном, целевом, содержательном, технологическом и оценочно-результативном блоках модели: когнитивный (наличие знаний о языке как базовом символе культуры и средстве коммуникации, социальной, этнической и личностной манифестации); коммуникативный (реальная возможность восприятия и поддержания духа alma mater в содержательном, творческом субъект-субъектном общении студентов с преподавателями, известными специалистами в конкретной научной области), воспитательный (развитие личности студентов - будущих специалистов с высшим образованием, способных осознавать язык в качестве аксиологической категории и ценность культуры речи как индикатора образованности и воспитанности); культуротворческий (способность воспринимать и оценивать язык и речь как социокультурные феномены, находящиеся в постоянном изменении); организационно-управленческий (наличие педагогических и методических условий, направленных на усиление мотивации студентов в овладении общекультурньши и профессиональными компетенциями).
3. Введено в научный оборот и определено понятие «языковой иммунитет» как способность индивида противостоять речевой деструктивности среды, сохраняя свою идентичность на основе духовно-нравственной целостности.
*{{derna_ar_s9_1_0}}*[[derna_ar_s9_1_0]]
*{{derna_ar_s9_1_2}}*[[derna_ar_s9_1_2]]
*{{derna_ar_s9_1_3}}*[[derna_ar_s9_1_3]]
*{{derna_ar_s9_1_4}}*[[derna_ar_s9_1_4]]
''Практическая значимость исследования.''
1. Разработана критериально-уровневая шкала, имеющая четыре критерия овладения языковыми компетенциями (ценностно-мотивационный, когнитивный, операционально-деятельностный, рефлексивный), четыре критерия культуры речи (логичность, аргументированность, соблюдение норм языка и этики общения) и четыре показателя балльно-рейтинговой оценки обучения английскому языку.
2. Разработаны образовательные программы по английскому языку для студентов вуза неязыковых специальностей, обучающихся в бакалавриате и магистратуре.
3. Созданы методические разработки, включающие тексты отечественных и зарубежных авторов о ценности языка, речи, их взаимосвязи с мышлением; дидактические средства - тесты, анкеты, эссе, sms- и онлайн-опросы, творческие задания, в том числе профессионально ориентированные.
{{derna_ar_s9_4_0}}*[[derna_ar_s9_4_0]]
{{derna_ar_s9_4_1}}*[[derna_ar_s9_4_1]]
''На защиту выносятся следующие положения:''
1. Ключевыми понятиями методики развития языковой личности студентов являются: языковая личность - субъект общения и деятельности, овладевающий языковыми компетенциями и культурой речи, способный существовать в социокультурном пространстве дискурса, участвовать в его формировании, критически рефлексировать поступающую информацию и себя в речевом поведении. Языковая компетенция - метапредметная компетенция, имеющая в основе совокупность информационной, социокультурной, коммуникативной и личностной компетенций как общекультурных и профессиональных, и предполагающая наличие знаний,
[[dis_shon_s66_1]]
{{dis_shon_s133_2}}
[[dis_shon_s133_2]]
{{dis_shon_s133_3}}
[[dis_shon_s133_3]]
{{dis_shon_s133_4}}
[[dis_shon_s133_4]]
Таким образом, в семантической теории информации центральным является понятие тезауруса, учитывающее в явной форме роль приемника информации.
Положения семантической теории информации имеют огромное значение для организации оптимального процесса обучения, независимо от его типа - традиционного, дистанционного, самостоятельного и т.д.
Любая информация, получаемая обучающимся, предполагает наличие у него определенных знаний, отражающих предыдущий опыт. Здесь важно отметить, что речь идет не просто о каком-либо количестве ранее полученных знаний, а о том необходимом их количестве, которое обеспечивает успешное протекание дальнейшего процесса обучения. Такое необходимое количество информации В.З.Коган предлагает называть "критической массой" тезауруса (97). Она обязательно должна соответствовать двум условиям:
1. Вновь предлагаемая информация должна быть понятной.
2. Она не должна ограничиваться дублированием тезауруса, а должна дополнять, наращивать его в той или иной части.
Таким образом, образовательная среда - это специально, в соответствии с образовательными целями, создаваемая система условий организации жизнедеятельности всех субъектов образовательного процесса, направленная на формирование их отношений к миру, к людям и друг к другу.
Дацун Н.А. Билингвальная подготовка будущего юриста как профессиональной языковой личности (на материале изучения английского языка): автореф. дис. … канд. пед. наук. – Майкоп, 2007. – 23 с.
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=842805]]* [ext[ссылка ар|https://new-disser.ru/_avtoreferats/01003375773.pdf]]
[[dna_ar 1]]**[[dna_ar ps]]
---
{{dna_ar_s3_0}}*[[dna_ar_s3_0]]
{{dna_ar_s3_1}}*[[dna_ar_s3_1]]
{{dna_ar_s3_2}}*[[dna_ar_s3_2]]
{{dna_ar_s3_3}}*[[dna_ar_s3_3]]
{{dna_ar_s3_4}}*[[dna_ar_s3_4]]
{{dna_ar_s3_5}}*[[dna_ar_s3_5]]
{{dna_ar_s4}}*[[dna_ar_s4]]
{{dna_ar_s5_1}}*[[dna_ar_s5_1]]
{{dna_ar_s5_2}}*[[dna_ar_s5_2]]
{{dna_ar_s5_3}}*[[dna_ar_s5_3]]
{{dna_ar_s5_4}}*[[dna_ar_s5_4]]
{{dna_ar_s5_5}}*[[dna_ar_s5_5]]
{{dna_ar_s5_6_0}}*[[dna_ar_s5_6_0]]
{{dna_ar_s5_6_1}}*[[dna_ar_s5_6_1]]
{{dna_ar_s5_6_2}}*[[dna_ar_s5_6_2]]
---
{{dna_ar_s6}}*[[dna_ar_s6]]
{{dna_ar_s7}}*[[dna_ar_s7]]
{{dna_ar_s8_1}}*[[dna_ar_s8_1]]
{{dna_ar_s8_2_0}}*[[dna_ar_s8_2_0]]
{{dna_ar_s8_2_1}}*[[dna_ar_s8_2_1]]
{{dna_ar_s8_2_2}}*[[dna_ar_s8_2_2]]
{{dna_ar_s8_2_3}}*[[dna_ar_s8_2_3]]
{{dna_ar_s8_2_4}}*[[dna_ar_s8_2_4]]
{{dna_ar_s8_3}}*[[dna_ar_s8_3]]
{{dna_ar_s8_4}}*[[dna_ar_s8_4]]
---
{{dna_ar_s9_1}}*[[dna_ar_s9_1]]
{{dna_ar_s9_2}}*[[dna_ar_s9_2]]
{{dna_ar_s9_3_0}}*[[dna_ar_s9_3_0]]
{{dna_ar_s9_3_1}}*[[dna_ar_s9_3_1]]
{{dna_ar_s9_3_2}}*[[dna_ar_s9_3_2]]
{{dna_ar_s9_3_3}}*[[dna_ar_s9_3_3]]
---
{{dna_ar_s10_1_1}}*[[dna_ar_s10_1_1]]
{{dna_ar_s10_1_2}}*[[dna_ar_s10_1_2]]
{{dna_ar_s10_3}}*[[dna_ar_s10_3]]
---
{{dna_ar_s11}}*[[dna_ar_s11]]
---
{{dna_ar_s16_2}}*[[dna_ar_s16_2]]
Дацун Н.А. Билингвальная подготовка будущего юриста как профессиональной языковой личности (на материале изучения английского языка): автореф. дис. … канд. пед. наук. – Майкоп, 2007. – 23 с.
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=842805]]* [ext[ссылка ар|https://new-disser.ru/_avtoreferats/01003375773.pdf]]
[[dna_ar]]*[[dna_ar ps]]
---
!! ''Билингвальная подготовка будущего юриста как профессиональной языковой личности (на материале изучения английского языка)''
Цель исследования — разработать и апробировать целостный педагогический процесс @@color:red; билингвальной подготовки будущего юриста @@на лингвориторической концептуальной основе в ходе изучения английского языка
Предмет исследования - процесс билингвальной подготовки будущего юриста в качестве @@color:green; профессиональной языковой личности на @@ лингвориторической основе
Объект исследования — теория и практика языковой подготовки на юридических факультетах вузов
---
<<<
PrimYu
{ {dna_ar_s5_3}}*{ {dna_ar_s5_4}}*{ {dna_ar_s5_5}}
<<<
---
*[[На защиту|dna_ar_nzv]]
*[[Научная новизна|dna_ar_nn]]
---
*[[научная новизна |dna_ar 1 nn]]
*[[на защиту выносятся|dna_ar 1 nzv]]
*[[гипотеза |dna_ar 1 gipoteza]]
*[[задачи |dna_ar 1 zadachi]]
*[[теоретическая значимость|dna_ar 1 tzi]]
*[[практическая значимость|dna_ar 1 pzi]]
*[[материал для размышления|dna_ar_mdr]]
''Гипотеза исследования'' Вузовская подготовка будущего юриста обеспечит его становление в качестве профессиональной языковой личности, если
— целостное понимание процесса языковой подготовки и соответственно решение актуальных задач вузовского обучения будущих юристов базируется на понятийном аппарате лингвориторической парадигмы,
— социальный заказ на подготовку квалифицированного юриста в условиях глобализации и формирования единого экономического и социокультурного пространства репрезентирован в идеальной модели выпускника «юрист как
стр 5_6
профессиональная языковая личность», выступающей стратегической целью образовательного процесса,
— в основу построения и организации процесса профессиональной подготовки юристов в области русского и английского языков положены следующие принципы лингвориторический, билингвальный, социомежкультурный, профессионально-личностный,
— в качестве целе-функциональной основы процесса вузовской языковой подготовки избрана готовность будущего юриста к профессиональной деятельности на базе билингвальной ЛР-компетенции смешанного типа;
— с учетом генеральной цели и принципов проектирования образовательного процесса конкретизированы и реализованы на практике проектные характеристики образовательного процесса, выявлены необходимые педагогические условия его эффективности
стр 6_1
{{dna_ar_s8_2_0}}
{{dna_ar_s8_2_1}}
{{dna_ar_s8_2_2}}
{{dna_ar_s8_2_3}}
{{dna_ar_s8_2_4}}
* {{dna_ar_s9_3_0}}
* {{dna_ar_s9_3_1}}
* {{dna_ar_s9_3_2}}
* {{dna_ar_s9_3_3}}{{dna_ar_s10_1_1}}
* {{dna_ar_s10_1_2}}
''Практическая значимость'' диссертационного исследования определяется конкретизацией целе-функциональных, содержательных, структурно-логических, инструментально-технологических, организационно-управленческих проектных характеристик (в концепции Ю С Тюнникова) целостного педагогического процесса формирования готовности будущего юриста к профессиональной деятельности на базе билингвальной ЛР-компетенции смешанного типа. Разработаны программа факультативного курса «Лингвориторика для юристов- билингвальный подход» и педагогическая технология формирования билингвальной ЛР-компетенции у студентов специальности «Юриспруденция» как средства их будущей профессиональной деятельности в условиях глобализации и формирования единого экономического и социокультурного простран-
стр 8_4
ства Полученные результаты могут быть использованы при чтении лекций на ФПК преподавателей иностранных языков, для совершенствования образовательного процесса в неязыковых вузах по другим специальностям.
стр 9_1
{ {dna_ar_s8_4}}*[[dna_ar_s8_4]]
{ {dna_ar_s9_1}}*[[dna_ar_s9_1]]
''Теоретическая значимость '' проведенного исследования заключается в концептуальном обосновании образовательного процесса в области иностранных языков в неязыковом вузе с позиций ЛР-парадигмы, в системном представлении ключевых понятий билингвальной подготовки будущего юриста на ЛР-основе (языковая личность, билингвизм, игасультурация, аккультурация, риторический канон как универсальный идеоречевой цикл «от мысли к слову», интегральная ЛР-компетенция), в разработке идеальной модели «юрист как профессиональная языковая личность», определении "профессиональной аккультурации, формулировании принципов проектирования инновационного образовательного процесса, в понятийной разработке и структурировании готовности будущего юриста к профессиональной деятельности на базе билингвальной ЛР-компетенции смешанного типа
стр 8_3
{ {dna_ar_s8_3}}*[[dna_ar_s8_3]]
В соответствии с целью исследования решались следующие ''задачи'':
1) разработать теоретико-методологические основы процесса билингвальной подготовки будущего юриста с учетом категорий языковой личности, билингвизма, аккультурации, ЛР-компетенции и механизмов ее реализации,
2) разработать соответствующую социальному заказу идеальную модель выпускника «юрист как профессиональная языковая личность» в качестве стратегической цели обучения иностранному языку,
3) разработать принципы проектирования процесса профессиональной языковой подготовки студентов специальности «Юриспруденция»;
4) определить сущность и структуру готовности будущего юриста к профессиональной деятельности на базе билингвальной ЛР-компетенции смешанного типа в качестве целе-функциональной основы процесса вузовской языковой подготовки,
5) конкретизировать и апробировать содержательно-логические, инструментально-технологические, организационно-управленческие проектные характеристики инновационного процесса подготовки будущего юриста как профессиональной языковой личности, выявить необходимые педагогические условия
стр 6_2
Дацун Н.А. Билингвальная подготовка будущего юриста как профессиональной языковой личности (на материале изучения английского языка): автореф. дис. … канд. пед. наук. – Майкоп, 2007. – 23 с.
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=842805]]* [ext[ссылка ар|https://new-disser.ru/_avtoreferats/01003375773.pdf]]
[[dna_ar]]*[[dna_ar 1]]
---
{{dna_ar_s3}}*[[dna_ar_s3]]
{{dna_ar_s4}}*[[dna_ar_s4]]
{{dna_ar_s5}}*[[dna_ar_s5]]
{{dna_ar_s6}}*[[dna_ar_s6]]
{{dna_ar_s7}}*[[dna_ar_s7]]
{{dna_ar_s8}}*[[dna_ar_s8]]
{{dna_ar_s9}}*[[dna_ar_s9]]
{{dna_ar_s10_1_2}}*[[dna_ar_s10_1_2]]
{{dna_ar_s10_3}}*[[dna_ar_s10_3]]
{{dna_ar_s11}}*[[dna_ar_s11]]
{{dna_ar_s16_2}}*[[dna_ar_s16_2]]
{{dna_ar_s9_2}}*[[dna_ar_s9_2]]
{{dna_ar_s10_3}}*[[dna_ar_s10_3]]
---
{{dna_ar_s11}}*[[dna_ar_s11]]
---
{{dna_ar_s16_2}}*[[dna_ar_s16_2]]
гвальной ЛР-компетещии смешанного типа, определяемая как стремление и способность будущего юриста в условиях глобализации мирового социокультурного и экономического пространства функционировать в профессиональной сфере в качестве сильной языковой личности демократического типа в билингвальном режиме межкультурной коммуникации.
4 Ведущими педагогическими условиями формирования готовности будущего юриста к профессиональной деятельности на базе билингвальной ЛР-компетенции смешанного типа являются 1) приоритетность усвоения социокультурной лексики как ядра внешнекультурных языковых единиц при формировании подструктур вторичной языковой личности обучающегося, 2) вооружение студентов билингвальной типологией языковых и речевых ошибок, 3) системная организация практики речемыслительной деятельности обучающихся в разных режимах, формах, стилях, типах и жанрах речи на интегративной ЛР-основе, 4) применение проблемных вопросов и ситуаций из области юридической теории и практики на занятиях по английскому языку, ролевая игра, 5) билингвальное диагностирование и мониторинг в образовательном процессе, 6) согласование подсистем аудиторной и внеаудиторной, фронтальной, групповой и индивидуальной работы студентов, координирование содержательных блоков образовательного процесса.
''Структура диссертации'' состоит из введения, двух глав, заключения, библиографии и приложения. В первой главе — «Теоретико-методологические основы билингвальной подготовки будущего юриста как профессиональной языковой личности» — рассмотрена категория языковой личности как субъекта социокультурно-образовательного пространства в контексте проблематики инкультурации и аккультурации, охарактеризован билингвизм как необходимое условие профессиональной подготовки будущего юриста, междисциплинарный объект изучения и педагогическая категория, проанализировано состояние теории и практики обучения иностранному языку студентов неязыковых вузов и
специальности «Юриспруденция» с позиций формирования специалиста как профессиональной языковой личности
Во второй главе - «Лингвориторический подход к проектированию билингвальной подготовке будущих юристов» - разработана идеальная модель «юрист как профессиональная языковая личность» в качестве генеральной цели вузовского обучения русскому и иностранному языкам, обоснованы принципы проектирования целостного педагогического процесса билингвальной подготовки юристов, выявлены сущностные признаки и компоненты готовности будущего юриста к профессиональной деятельности на базе билингвальной ЛР-компетенции смешанного типа; разработано содержание и инструментально-технологическое сопровождение обучения английскому языку студентов специальности «Юриспруденция» на базе билингвального ЛР-подхода, рассмотрены ход и результаты опытно-экспериментальной апробации проектных построений
''ОСНОВНОЕ СОДЕРЖАНИЕ РАБОТЫ ''
При разработке теоретико-методологических основ билингвальной подготовки будущего юриста необходима опора на лингводидактический конструкт языковой личности, которая объективно выступает субъектом социокультурно-образовательного пространства Процесс присвоения той или иной национальной культуры и формирование социальной психологии возможны только посредством языка, являющегося для культуры, тем же что и центральная нервная система для жизнедеятельности человека (С. Лем) Как показали результаты анализа, в современной науке существует многообразие подходов к изучению языковой личности русская языковая личность (ЮН Караулов), языковая и речевая личность (Ю Е Прохоров, Л П Клобукова), языковая личность западной и восточной культур (Т.Н Снитко), этносемантическая личность (С Г Воркачев), элитарная языковая личность (О Б Сиротинина, Т В Кочеткова), семи-ологическая личность (А Г Баранов), словарная языковая личность (В И Карасик), эмоциональная языковая личность (В И Шаховский), полилектная (многочеловеческая) и идиолектная (частночеловеческая) личности (В П Нерознак), и т д Лингвокультурная личность как «закрепленный в языке (преимущественно в лексике и синтаксисе) базовый национально-культурный прототип носителя определенного языка, составляющий вневременную и инвариантную часть структуры личности» в концепции В. А. Масловой корреспондирует с категорией национальная языковая личность Ю Н. Караулова В лингводидактике последнего десятилетия появилось понятие «вторичная языковая личность» — «как совокупность способностей человека к иноязычному обучению на межкультурном уровне, под которым понимается адекватное взаимодействие с представителями других культур» (Н.Д Гальскова) При формировании «вторичной» языковой личности средствами иностранного языка и культуры сферы языкового и когнитивного видов сознания обучаемого обогащаются и удваиваются за счет приобщения к иноязычным (вторым) языковой и концептуальной картинам мира, однако сфера нравственного сознания, те мотивационно-потребностная сфера «вторичной» языковой личности, не удваивается, но обогащается (И И Халеева и др.). Согласно Н Д Гальсковой, развитие у обучаемо-
В ходе проектирования процесса билингвальной подготовки будущих юристов на материале английского языка ''нами разработана идеальная модель выпускника «юрист как профессиональная языковая личность»,'' выступающая педагогической конкретизацией социального заказа на профессиональную подготовку юриста в условиях глобализации мирового социокультурного и экономического пространства. ''Данная модель ''выступает генеральной целью процесса обучения русскому и иностранному языкам студентов данной специальности и ''включает в себя следующие компоненты 1) билингвальная лингвориторическая компетенция как теоретико-операциональная основа сопряженного функционирования вербально-семантической и лингвокогнитивной подструктур языковой личности, 2) общая социомежкультурная эрудиция и 3) собственно профессиональная юридическая компетенция в области права России / Великобритании, США - организованные иерархией концептов и ценностных суждений в их взаимообусловленности с индивидуальными особенностями мотивационно-рефлексивной подструктуры языковой личности, 4) демократическая стратегия социомежкультурной коммуникации ''
ОБЩАЯ ХАРАКТЕРИСТИКА РАБОТЫ
''Актуальность исследования'' обусловлена возросшими требованиями современного российского общества к преподаванию иностранных языков на неязыковых факультетах вузов В связи с выходом России на мировую арену в новых идеологических и политических условиях, ее вступлением в мировое экономическое пространство, подписанием Болонскои конвенции остро встает проблема реального уровня подготовки специалистов неязыковых факультетов в области иностранных языков Между тем, налицо противоречия, которые отражены в научно-педагогической литературе, наблюдаются в практике преподавания и требуют своего научного решения
Благодаря достижениям отечественной психолингвистики в качестве теоретической основы обучения иностранным языкам давно признан коммуникативно-деятельностный подход, предполагающий организацию иноязычной коммуникации с целью обмена информацией Однако в вузовской практике, как показывает повседневный опыт, студенты, владея грамматикой иностранного языка и достаточно богатым словарным запасом, зачастую не могут переступить языковой барьер и свободно излагать свои мысли
Положение о том, что преподавание иностранного языка и овладение им есть одновременно передача культуры носителей этого языка и активное присвоение этой культуры, стало теоретически общепризнанным и общеизвестным Тем не менее, в практике обучения перед преподавателями встают вопросы, которые на данный момент не решены в педагогической и научно-методической литературе и от решения которых — прежде всего на теоретико-методологическом, а затем и собственно педагогическом, лингводидактическом уровнях - зависят как организация, так и конечная эффективность всего образовательного процесса.
Согласно требованиям ГОС, студент неязыкового факультета обязан быть специалистом, умеющим общаться на иностранном языке, в том числе в профессиональной сфере, однако количество аудиторных часов не позволяет преподавателю достичь желаемого результата Сокращение аудиторных занятий приводит к низким результатам иноязычной подготовки студентов, снижению мотивации к становлению в качестве профессиональной языковой личности, в должной мере владеющей иностранным языком Студенты в большей степени должны работать самостоятельно, что неэффективно с учетом специфики предмета, требующего совместной работы (группа, команда, коммуникативная диада), т.к . грамотно и убедительно излагать свои мысли можно научиться только в процессе живого общения.
Как показали результаты анализа научной литературы, в теоретико-методологическом плане также существуют два противоречия, которые мы расцениваем в качестве главных Первое заключается в декларативном признании необходимости усиления коммуникативной стороны обучения, с одной стороны, и в лингвоцентризме преподавания - с другой, т.е в незадействованности в массовой практике обучения иностранным языкам достижений неориторики — теории и практики обучения эффективной речемыслительной деятельности. Если выдвижение на первый план коммуникативной направленно
<center> ''ОБЩАЯ ХАРАКТЕРИСТИКА РАБОТЫ'' </center>
''Актуальность исследования'' обусловлена возросшими требованиями современного российского общества к преподаванию иностранных языков на неязыковых факультетах вузов. В связи с выходом России на мировую арену в новых идеологических и политических условиях, ее вступлением в мировое экономическое пространство, подписанием Болонскои конвенции остро встает проблема реального уровня подготовки специалистов неязыковых факультетов в области иностранных языков. Между тем, налицо противоречия, которые отражены в научно-педагогической литературе, наблюдаются в практике преподавания и требуют своего научного решения.
Благодаря достижениям отечественной психолингвистики в качестве теоретической основы обучения иностранным языкам давно признан коммуникативно-деятельностный подход, предполагающий организацию иноязычной коммуникации с целью обмена информацией Однако в вузовской практике, как показывает повседневный опыт, студенты, владея грамматикой иностранного языка и достаточно богатым словарным запасом, зачастую не могут переступить языковой барьер и свободно излагать свои мысли
Положение о том, что преподавание иностранного языка и овладение им есть одновременно передача культуры носителей этого языка и активное присвоение этой культуры, стало теоретически общепризнанным и общеизвестным. Тем не менее, в практике обучения перед преподавателями встают вопросы, которые на данный момент не решены в педагогической и научно-методической литературе и от решения которых — прежде всего на теоретико-методологическом, а затем и собственно педагогическом, лингводидактическом уровнях - зависят как организация, так и конечная эффективность всего образовательного процесса.
@@color:red; Согласно требованиям ГОС, студент неязыкового факультета обязан быть специалистом, умеющим общаться на иностранном языке, в том числе в профессиональной сфере, однако количество аудиторных часов не позволяет преподавателю достичь желаемого результата. @@ Сокращение аудиторных занятий приводит к низким результатам иноязычной подготовки студентов, снижению мотивации к становлению в качестве профессиональной языковой личности, в должной мере владеющей иностранным языком. Студенты в большей степени должны работать самостоятельно, что неэффективно с учетом специфики предмета, требующего совместной работы (группа, команда, коммуникативная диада), т.к. грамотно и убедительно излагать свои мысли можно научиться только в процессе живого общения.
Как показали результаты анализа научной литературы, в теоретико-методологическом плане также существуют два противоречия, которые мы расцениваем в качестве главных. Первое заключается в декларативном признании необходимости усиления коммуникативной стороны обучения, с одной стороны, и в лингвоцентризме преподавания - с другой, т.е. в незадействованности в массовой практике обучения иностранным языкам достижений неориторики — теории и практики обучения эффективной речемыслительной деятельности. Если выдвижение на первый план коммуникативной направленно-
сти выразилось в свое время в трансформации целей и содержания обучения по принципу «обучение иностранному языку - обучение иноязычной речи - обучение иноязычной речевой деятельности - обучение общению» (В А Аврорин), то нелогично отсутствие опоры в образовательном процессе на универсальный идеоречевой цикл «от мысли к слову» Последний достаточно обстоятельно разработан в технологическом плане в рамках классического риторического канона инвенция (изобретение содержания высказывания) — диспозиция (расположение изобретенного) - элокуция (языковое оформление высказывания) - [[меморио|Меморио]] (запоминание) - акцио (произнесение перед аудиторией / письмо) (Н А Безменова, М Р Львов, А К Михальская и др ) Это особенно актуально для профессиональной подготовки юриста, который обязан владеть риторическим мастерством, в идеале также в билингвальном режиме В современной ситуации расширения межкультурной коммуникации, делового партнерства с зарубежными организациями неизмеримо возрастает значимость свободного владения юристом иностранными языками Необходимость перевода юридических документов, общения с зарубежными партнерами актуализирует значимость билингвальной языковой подготовки юриста, эффективность которой обеспечивается ее реализацией с опорой на концептуальные положения лингворито-рического (ЛР) подхода.
Второе методологическое противоречие заключается между утверждением гуманистической парадигмы в современной педагогике и недостаточной опорой в практике преподавания иностранных языков на достижения антропоцентрической лингвистики, на категорию языковой личности обучающегося, уровни ее структуры Необходима установка на становление будущего специалиста в качестве «сильной языковой личности демократического типа», «профессиональной языковой личности» (А А. Ворожбитова), под которой понимается «лицо, работающее в зоне повышенной речевой ответственности» (А К Михальская), разработка технологии формирования основ «вторичной языковой личности» (И И Халеева) в аспекте ее билингвальной компетенции - не просто лингвистической, а «лингвориторической», в различных режимах, регистрах, формах, стилях, типах и жанрах межкультурной коммуникации Требуется более широкое включение данных идей в общий контекст проблематики формирования у будущего специалиста основ билингвизма и способности к профессиональной аккультурации в русле гуманизации и гуманитаризации высшего профессионального образования.
Таким образом, назрела необходимость решения на современном научном уровне проблемы эффективности коммуникативно- и межкультурно-ориентированного преподавания иностранных языков в неязыковых вузах Данное исследование посвящено ее решению на примере обучения английскому языку студентов 1-4 курсов специальности «021100 - Юриспруденция».
Эффективность вузовской профессиональной подготовки специалистов всегда находилась в центре внимания ученых, которыми были раскрыты различные аспекты и направления обеспечения качества профессионального образования (Ю К Бабанский, А А. Вербицкий, И Я Лернер, В А Сластенин и др ), разработаны концепции ценностей, мотивов, направленности профессиональ-
ной деятельности (Е Н Шиянов, В И Залесский, А К Маркова и др ). Учеными изучены личностные качества, обеспечивающие компетентность в общении (М Е Дуранов, А А Леонтьев, В В. Рыжов, В А. Сластенин и др ), исследованы коммуникативные умения (Л А Ахудаева, Е А Бароненко, Е Б. Быстрай, М Е Дашкин, И Р Петерсон и др ) Ряд работ посвящен изучению сущности профессионального общения и поиску оптимальных условий и эффективных методов формирования коммуникативной компетентности будущих специалистов как условия профессионального общения и профессиональной деятельности (Ю Н Емельянов, В Л Зливков, Т И Липатова, В Д Ширшов и др ). Рассматривались проблемы метаязыкового сознания юристов и предмет юрислингвистики (А М Александров, Н Б Лебедева и др.), специфика профессиональной речи юристов (Т В Губаева, Н Н Ивакина, Н Д Голев и др), формирование их коммуникативной компетентности в процессе обучения иностранному языку (С Е Зайцева), в отдельных статьях - совершенствование системы профессионально-коммуникативной подготовки юристов (Л В Корсакова), стратегия обучения английскому языку студентов неязыковых вузов (В Л Бернштейн), принципы построения курса английского языка для неязыковых факультетов вузов (Е С Орлова), развитие профессиональных качеств будущих специалистов в процессе обучения деловому английскому языку (В В Белашко) и др Однако ЛР-подход к билингвальной подготовке юриста как профессиональной языковой личности до сих пор не использовался
Недостаточная теоретическая и практическая разработанность научно-педагогической проблематики в области преподавания иностранного, в данном случае английского, языка в неязыковом вузе, в частности на юридическом факультете, охарактеризованные выше противоречия позволили сформулировать проблему исследования Каким образом необходимо строить билингвальную подготовку будущего юриста в процессе изучения английского языка, чтобы она обеспечивала становление будущего специалиста в качестве профессиональной языковой личности9
''Объект исследования '' — теория и практика языковой подготовки на юридических факультетах вузов
''Предмет исследования'' - процесс билингвальной подготовки будущего юриста в качестве профессиональной языковой личности на лингвориторической основе
''Цель исследования'' — разработать и апробировать целостный педагогический процесс билингвальной подготовки будущего юриста на лингвориторической концептуальной основе в ходе изучения английского языка
''Гипотеза исследования'' Вузовская подготовка будущего юриста обеспечит его становление в качестве профессиональной языковой личности, если
— целостное понимание процесса языковой подготовки и соответственно решение актуальных задач вузовского обучения будущих юристов базируется на понятийном аппарате лингвориторической парадигмы,
— социальный заказ на подготовку квалифицированного юриста в условиях глобализации и формирования единого экономического и социокультурного пространства репрезентирован в идеальной модели выпускника «юрист как
ной деятельности (Е Н Шиянов, В И Залесский, А К Маркова и др ). Учеными изучены личностные качества, обеспечивающие компетентность в общении (М Е Дуранов, А А Леонтьев, В В. Рыжов, В А. Сластенин и др ), исследованы коммуникативные умения (Л А Ахудаева, Е А Бароненко, Е Б. Быстрай, М Е Дашкин, И Р Петерсон и др ) Ряд работ посвящен изучению сущности профессионального общения и поиску оптимальных условий и эффективных методов формирования коммуникативной компетентности будущих специалистов как условия профессионального общения и профессиональной деятельности (Ю Н Емельянов, В Л Зливков, Т И Липатова, В Д Ширшов и др ). Рассматривались проблемы метаязыкового сознания юристов и предмет юрислингвистики (А М Александров, Н Б Лебедева и др.), специфика профессиональной речи юристов (Т В Губаева, Н Н Ивакина, Н Д Голев и др), формирование их коммуникативной компетентности в процессе обучения иностранному языку (С Е Зайцева), в отдельных статьях - совершенствование системы профессионально-коммуникативной подготовки юристов (Л В Корсакова), стратегия обучения английскому языку студентов неязыковых вузов (В Л Бернштейн), принципы построения курса английского языка для неязыковых факультетов вузов (Е С Орлова), развитие профессиональных качеств будущих специалистов в процессе обучения деловому английскому языку (В В Белашко) и др Однако ЛР-подход к билингвальной подготовке юриста как профессиональной языковой личности до сих пор не использовался
Недостаточная теоретическая и практическая разработанность научно-педагогической проблематики в области преподавания иностранного, в данном случае английского, языка в неязыковом вузе, в частности на юридическом факультете, охарактеризованные выше противоречия позволили сформулировать проблему исследования Каким образом необходимо строить билингвальную подготовку будущего юриста в процессе изучения английского языка, чтобы она обеспечивала становление будущего специалиста в качестве профессиональной языковой личности?
''Объект исследования '' — теория и практика языковой подготовки на юридических факультетах вузов.
''Предмет исследования'' - процесс билингвальной подготовки будущего юриста в качестве профессиональной языковой личности на лингвориторической основе.
''Цель исследования'' — разработать и апробировать целостный педагогический процесс билингвальной подготовки будущего юриста на лингвориторической концептуальной основе в ходе изучения английского языка
''Гипотеза исследования'' Вузовская подготовка будущего юриста обеспечит его становление в качестве профессиональной языковой личности, если
— целостное понимание процесса языковой подготовки и соответственно решение актуальных задач вузовского обучения будущих юристов базируется на понятийном аппарате лингвориторической парадигмы,
— социальный заказ на подготовку квалифицированного юриста в условиях глобализации и формирования единого экономического и социокультурного пространства репрезентирован в идеальной модели выпускника «юрист как
профессиональная языковая личность», выступающей стратегической целью образовательного процесса,
— в основу построения и организации процесса профессиональной подготовки юристов в области русского и английского языков положены следующие принципы лингвориторический, билингвальный, социомежкультурный, профессионально-личностный,
— в качестве целе-функциональной основы процесса вузовской языковой подготовки избрана готовность будущего юриста к профессиональной деятельности на базе билингвальной ЛР-компетенции смешанного типа;
— с учетом генеральной цели и принципов проектирования образовательного процесса конкретизированы и реализованы на практике проектные характеристики образовательного процесса, выявлены необходимые педагогические условия его эффективности
В соответствии с целью исследования решались следующие задачи:
1) разработать теоретико-методологические основы процесса билингвальной подготовки будущего юриста с учетом категорий языковой личности, билингвизма, аккультурации, ЛР-компетенции и механизмов ее реализации,
2) разработать соответствующую социальному заказу идеальную модель выпускника «юрист как профессиональная языковая личность» в качестве стратегической цели обучения иностранному языку,
3) разработать принципы проектирования процесса профессиональной языковой подготовки студентов специальности «Юриспруденция»;
4) определить сущность и структуру готовности будущего юриста к профессиональной деятельности на базе билингвальной ЛР-компетенции смешанного типа в качестве целе-функциональной основы процесса вузовской языковой подготовки, 5) конкретизировать и апробировать содержательно-логические, инструментально-технологические, организационно-управленческие проектные характеристики инновационного процесса подготовки будущего юриста как профессиональной языковой личности, выявить необходимые педагогические условия.
Методологическую основу исследования составили диалектическая логика, общая методология гуманистической парадигмы в образовании, сущность современного классического образования и перспективы его дальнейшего развития и места в целостном историческом развитии человечества, идеи своеобразия и взаимообогащения культур, кросскультуризма, методология проектирования инновационного образовательного процесса (Ю.С Тюнников)
Теоретическими основами исследования явились философская проблематика межкультурного диалогического взаимодействия, теорий коммуникации, диалогизма, герменевтики, исследования особенностей функционирования английского языка как мирового; достижения отечественной педагогики и психологии в области языкового образования (Л.С. Выготский, Е М. Верещагин, В В Кабакчи, В.Г. Костомаров, В В Морковкин, В В Сафонов и др.), труды по теории и методике обучения иностранным языкам (ИМ Исаев, А А Леонтьев, Л Г. Мишина, 3 Г. Муратов, М Н Певзнер, В В Сафонов, Г.Д Томахин, А Д Швейцер и др.), исследования в области антропоцентрической лингвистики
(Ю Н Караулов), культуры речи (Л В. Щерба), риторики и неориторики (Н.А Безменова, А.К Михальская); концепции ЛР-образования (А А. Ворожбитова), ЛР-идеала как ведущего фактора становления профессиональной языковой личности будущего специалиста (А.В Юрьева), билингвальной модели формирования ЛР-компетенции будущего специалиста (А В. Тимофеев) и др.
''Методы исследования. '' Для решения поставленных задач и проверки исходных положений использовался комплекс взаимодополняющих методов исследования — теоретических и практических теоретический анализ историко-педагогических учений классиков философии, педагогики и психологии, межпредметное и внутрипредметное изучение исследуемой проблемы в философии, культурологии, этнологии, этике, сравнительное исследование, интегративный и дифференцированный терминологический анализ содержания основных понятий исследования, изучение и обобщение передового педагогического опыта (наблюдение и анализ продуктов педагогической деятельности), анализ программно-методических материалов, учебных программ, продуктов учебной деятельности студентов, педагогическое проектирование, тестирование, опросы, интервьюирование, прогнозирование, констатирующий и формирующий эксперименты
''Личный вклад'' автора в получение научных результатов определяется разработкой концептуальных положений исследования, общего замысла и методики эксперимента, дидактических материалов, проведением опытно-экспериментальной работы и теоретическим обобщением ее результатов.
''Организация, база и этапы исследования''. Исследование проводилось в период с 2001 по 2006 гг на базе Российского государственного социального университета (филиал в г Сочи).
Первый этап, подготовительный (2001-2002 гг) — изучение направлений историко-педагогической мысли в аспекте тенденций развития межкультурного образования в отечественной и зарубежной теории и практике, анализ проблемы преподавания иностранных языков в философии, педагогике, психологии межличностного общения В результате определилось проблемное поле исследования, выявились наиболее предпочтительные в данной области базовые педагогические понятия и категории, что позволило найти теоретические ориентиры повышения эффективности обучения иностранному языку в неязыковом вузе с учетом реалий современного культурно-образовательного пространства Были предварительно сформулированы цель, задачи и гипотеза исследования Второй этап (2002-2003 гг ) — дальнейшее изучение состояния проблемы исследования и степени ее актуальности, подбор методов и методик научно-педагогического исследования, констатирующая диагностика состояния уровня сформированное™ основ билингвизма у обучающихся для определения путей достижения поставленной цели; разработка модели педагогического процесса на ЛР-ой концептуальной основе Третий этап (2003-2005 гг ) — разработка и реализация программы формирующего эксперимента обучения английскому языку студентов 1—4 курсов специальности «Юриспруденция», решение задач формирования у будущего юриста базисных структур билингвальной профессиональной языковой личности на ЛР-основе Заключительный этап (2006-
2007 гг.) - подведение итогов, формулирование выводов, оформление окончательного текста диссертационного исследования.
''Научная новизна исследования'' заключается в том, что
- разработаны теоретико-методологические основы процесса билингвальной подготовки будущего юриста с учетом логической взаимосвязи категорий языковой личности, билингвизма, аккультурации, лингвориторической компетенции и др;
- разработана идеальная модель выпускника «юрист как профессиональная языковая личность» в качестве стратегической цели образовательного процесса и педагогической репрезентации социального заказа на подготовку юристов в условиях глобализации мирового социокультурного и экономического пространства, - обоснованы принципы проектирования подготовки будущего юриста в области родного и иностранного языков лингвориторический, билингвальный социомежкультурный, профессионально-личностный,
- определены сущность и структура готовности будущего юриста к профессиональной деятельности на базе билингвальной ЛР-компетенции смешанного типа как целе-функциональной основы образовательного процесса,
- разработан и апробирован целостный педагогический процесс формирования названного типа готовности на уровне необходимых и достаточных проектных характеристик, выявлены адекватные педагогические условия его реализации.
''Теоретическая значимость '' проведенного исследования заключается в концептуальном обосновании образовательного процесса в области иностранных языков в неязыковом вузе с позиций ЛР-парадигмы, в системном представлении ключевых понятий билингвальной подготовки будущего юриста на ЛР-основе (языковая личность, билингвизм, игасультурация, аккультурация, риторический канон как универсальный идеоречевой цикл «от мысли к слову», интегральная ЛР-компетенция), в разработке идеальной модели «юрист как профессиональная языковая личность», определении "профессиональной аккультурации, формулировании принципов проектирования инновационного образовательного процесса, в понятийной разработке и структурировании готовности будущего юриста к профессиональной деятельности на базе билингвальной ЛР-компетенции смешанного типа.
''Практическая значимость'' диссертационного исследования определяется конкретизацией целе-функциональных, содержательных, структурно-логических, инструментально-технологических, организационно-управленческих проектных характеристик (в концепции Ю С Тюнникова) целостного педагогического процесса формирования готовности будущего юриста к профессиональной деятельности на базе билингвальной ЛР-компетенции смешанного типа Разработаны программа факультативного курса «Лингвориторика для юристов- билингвальный подход» и педагогическая технология формирования билингвальной ЛР-компетенции у студентов специальности «Юриспруденция» как средства их будущей профессиональной деятельности в условиях глобализации и формирования единого экономического и социокультурного простран
2007 гг.) - подведение итогов, формулирование выводов, оформление окончательного текста диссертационного исследования.
''Научная новизна исследования'' заключается в том, что
- разработаны теоретико-методологические основы процесса билингвальной подготовки будущего юриста с учетом логической взаимосвязи категорий языковой личности, билингвизма, аккультурации, лингвориторической компетенции и др;
- разработана идеальная модель выпускника «юрист как профессиональная языковая личность» в качестве стратегической цели образовательного процесса и педагогической репрезентации социального заказа на подготовку юристов в условиях глобализации мирового социокультурного и экономического пространства, - обоснованы принципы проектирования подготовки будущего юриста в области родного и иностранного языков лингвориторический, билингвальный социомежкультурный, профессионально-личностный,
- определены сущность и структура готовности будущего юриста к профессиональной деятельности на базе билингвальной ЛР-компетенции смешанного типа как целе-функциональной основы образовательного процесса,
- разработан и апробирован целостный педагогический процесс формирования названного типа готовности на уровне необходимых и достаточных проектных характеристик, выявлены адекватные педагогические условия его реализации.
''Теоретическая значимость'' проведенного исследования заключается в концептуальном обосновании образовательного процесса в области иностранных языков в неязыковом вузе с позиций ЛР-парадигмы, в системном представлении ключевых понятий билингвальной подготовки будущего юриста на ЛР-основе (языковая личность, билингвизм, игасультурация, аккультурация, риторический канон как универсальный идеоречевой цикл «от мысли к слову», интегральная ЛР-компетенция), в разработке идеальной модели «юрист как профессиональная языковая личность», определении "профессиональной аккультурации, формулировании принципов проектирования инновационного образовательного процесса, в понятийной разработке и структурировании готовности будущего юриста к профессиональной деятельности на базе билингвальной ЛР-компетенции смешанного типа.
''Практическая значимость'' диссертационного исследования определяется конкретизацией целе-функциональных, содержательных, структурно-логических, инструментально-технологических, организационно-управленческих проектных характеристик (в концепции Ю С Тюнникова) целостного педагогического процесса формирования готовности будущего юриста к профессиональной деятельности на базе билингвальной ЛР-компетенции смешанного типа Разработаны программа факультативного курса «Лингвориторика для юристов- билингвальный подход» и педагогическая технология формирования билингвальной ЛР-компетенции у студентов специальности «Юриспруденция» как средства их будущей профессиональной деятельности в условиях глобализации и формирования единого экономического и социокультурного простран-
ства Полученные результаты могут быть использованы при чтении лекций на ФПК преподавателей иностранных языков, для совершенствования образовательного процесса в неязыковых вузах по другим специальностям.
''Обоснованность и достоверность результатов исследования'' обеспечивается методологической обоснованностью исходных позиций исследования, многообразием используемых методов, адекватных целям и задачам исследования, содержательным анализом результатов диагностических процедур, согласованностью теоретических положений и выводов между собой и с результатами эмпирического исследования Надежность полученных данных обеспечивается достаточным объемом экспериментальной выборки и анализом данных с использованием математических методов обработки.
''На защиту выносятся следующие положения'':
1 Необходимым условием вузовской подготовки будущего юриста является его становление в качестве профессиональной языковой личности, неотъемлемыми качествами которой на современном этапе социокультурного развития выступают владение иностранным языком и способность к профессиональной аккультурации Концептуальной основной процесса профессиональной языковой подготовки будущего юриста, обеспечивающей его эффективность, выступает интегративный лингвориторический (ЛР) подход Показателем результативности иноязычной подготовки будущего юриста является успешная профессиональная аккультурация как способность к успешному выполнению функциональных обязанностей специалиста данного профиля в иноязычной и инокультурной среде. Необходимым условием такой аккультурации выступает билингвальная ЛР-компетенция, обеспечивающая оптимальное взаимодействие подструктур «первичной» и «вторичной» языковой личности специалиста
2 Социальный заказ на профессиональную подготовку юриста в условиях глобализации мирового социокультурного и экономического пространства педагогически конкретизируется в идеальной модели выпускника «юрист как профессиональная языковая личность», выступающей генеральной целью процесса обучения русскому и иностранному языкам студентов данной специальности Компоненты модели 1) билингвальная ЛР-компетенция как теоретико-операциональная основа функционирования вербально-семантической и лин-гвокогнитивной подструктур языковой личности; 2) общая социомежкультурная эрудиция и 3) собственно профессиональная юридическая компетенция в области права России / Великобритании, США - организованные иерархией концептов и ценностных суждений в их взаимообусловленности с индивидуальными особенностями мотивационно-рефлексивной подструктуры языковой личности, 4) демократическая стратегия социомежкультурной коммуникации
3. Проектирование процесса билингвальной подготовки будущего юриста на ЛР концептуальной основе базируется на специальных принципах, которые находятся в тесной взаимосвязи и взаимообусловленности и детерминируют соответствующий педагогический инструментарий, лингвориторическом, билингвальном, социомежкультурной, профессионально-личностном Целе-функциональной основой инновационного педагогического процесса выступает готовность будущего юриста к профессиональной деятельности на базе билин-
ства. Полученные результаты могут быть использованы при чтении лекций на ФПК преподавателей иностранных языков, для совершенствования образовательного процесса в неязыковых вузах по другим специальностям.
''Обоснованность и достоверность результатов исследования'' обеспечивается методологической обоснованностью исходных позиций исследования, многообразием используемых методов, адекватных целям и задачам исследования, содержательным анализом результатов диагностических процедур, согласованностью теоретических положений и выводов между собой и с результатами эмпирического исследования Надежность полученных данных обеспечивается достаточным объемом экспериментальной выборки и анализом данных с использованием математических методов обработки.
''На защиту выносятся следующие положения'':
1 Необходимым условием вузовской подготовки будущего юриста является его становление в качестве профессиональной языковой личности, неотъемлемыми качествами которой на современном этапе социокультурного развития выступают владение иностранным языком и способность к профессиональной аккультурации. Концептуальной основной процесса профессиональной языковой подготовки будущего юриста, обеспечивающей его эффективность, выступает интегративный лингвориторический (ЛР) подход. Показателем результативности иноязычной подготовки будущего юриста является успешная профессиональная аккультурация как способность к успешному выполнению функциональных обязанностей специалиста данного профиля в иноязычной и инокультурной среде. Необходимым условием такой аккультурации выступает билингвальная ЛР-компетенция, обеспечивающая оптимальное взаимодействие подструктур «первичной» и «вторичной» языковой личности специалиста.
2 Социальный заказ на профессиональную подготовку юриста в условиях глобализации мирового социокультурного и экономического пространства педагогически конкретизируется в идеальной модели выпускника «юрист как профессиональная языковая личность», выступающей генеральной целью процесса обучения русскому и иностранному языкам студентов данной специальности Компоненты модели 1) билингвальная ЛР-компетенция как теоретико-операциональная основа функционирования вербально-семантической и лин-гвокогнитивной подструктур языковой личности; 2) общая социомежкультурная эрудиция и 3) собственно профессиональная юридическая компетенция в области права России / Великобритании, США - организованные иерархией концептов и ценностных суждений в их взаимообусловленности с индивидуальными особенностями мотивационно-рефлексивной подструктуры языковой личности, 4) демократическая стратегия социомежкультурной коммуникации.
3. Проектирование процесса билингвальной подготовки будущего юриста на ЛР концептуальной основе базируется на специальных принципах, которые находятся в тесной взаимосвязи и взаимообусловленности и детерминируют соответствующий педагогический инструментарий, @@color:red; ?лингвориторическом, билингвальном, социомежкультурном, профессионально-личностном? @@ Целе-функциональной основой инновационного педагогического процесса выступает готовность будущего юриста к профессиональной деятельности на базе билин-
Годунова С.Ю. Педагогические условия развития языковой личности студента технического вуза
*[ext[ссылка|https://new-disser.ru/_avtoreferats/01003421681.pdf]]
*[ext[ссылка|https://static.freereferats.ru/_avtoreferats/01003421681.pdf]]
[[gsyu_ar 1]]**[[gsyu_ar ps]]
---
{{gsyu_ar_s3_1}}*[[gsyu_ar_s3_1]]
{{gsyu_ar_s3_2}}*[[gsyu_ar_s3_2]]
{{gsyu_ar_s4_1}}*[[gsyu_ar_s4_1]]
{{gsyu_ar_s4_2}}*[[gsyu_ar_s4_2]]
{{gsyu_ar_s4_3}}*[[gsyu_ar_s4_3]]
{{gsyu_ar_s4_4}}*[[gsyu_ar_s4_4]]
стр 4
{{gsyu_ar_s5_1}}*[[gsyu_ar_s5_1]]
{{gsyu_ar_s5_2}}*[[gsyu_ar_s5_2]]
{{gsyu_ar_s5_3}}*[[gsyu_ar_s5_3]]
{{gsyu_ar_s5_4}}*[[gsyu_ar_s5_4]]
{{gsyu_ar_s5_5}}*[[gsyu_ar_s5_5]]
{{gsyu_ar_s5_6}}*[[gsyu_ar_s5_6]]
{ {gsyu_ar_s5}*[[gsyu_ar_s5]]
стр. 5
{{gsyu_ar_s10_3}}*[[gsyu_ar_s10_3]]
{{gsyu_ar_s10_4}}*[[gsyu_ar_s10_4]]
{{gsyu_ar_s10_5}}*[[gsyu_ar_s10_5]]
стр. 10
{{gsyu_ar_s11_1}}*[[gsyu_ar_s11_1]]
{{gsyu_ar_s11_2}}*[[gsyu_ar_s11_2]]
{{gsyu_ar_s11_3}}*[[gsyu_ar_s11_3]]
стр. 11
{{gsyu_ar_s12_1}}*[[gsyu_ar_s12_1]]
{{gsyu_ar_s12_2}}*[[gsyu_ar_s12_2]]
{{gsyu_ar_s12_3}}*[[gsyu_ar_s12_3]]
{{gsyu_ar_s12_4}}*[[gsyu_ar_s12_4]]
{{gsyu_ar_s12_5}}*[[gsyu_ar_s12_5]]
{{gsyu_ar_s12_6}}*[[gsyu_ar_s12_6]]
стр. 12
{{gsyu_ar_s13_1}}*[[gsyu_ar_s13_1]]
{{gsyu_ar_s13_2}}*[[gsyu_ar_s13_2]]
{{gsyu_ar_s13_3}}*[[gsyu_ar_s13_3]]
{{gsyu_ar_s13_4}}*[[gsyu_ar_s13_4]]
{{gsyu_ar_s13_5}}*[[gsyu_ar_s13_5]]
стр. 13
{{gsyu_ar_s14_1}}*[[gsyu_ar_s14_1]]
{{gsyu_ar_s14_2}}*[[gsyu_ar_s14_2]]
{{gsyu_ar_s14_3}}*[[gsyu_ar_s14_3]]
стр 14
{{gsyu_ar_s15_1}}*[[gsyu_ar_s15_1]]
{{gsyu_ar_s15_2}}*[[gsyu_ar_s15_2]]
{{gsyu_ar_s15_3}}*[[gsyu_ar_s15_3]]
стр 15
{{gsyu_ar_s16_1}}*[[gsyu_ar_s16_1]]
{{gsyu_ar_s16_2}}*[[gsyu_ar_s16_2]]
{{gsyu_ar_s16_3}}*[[gsyu_ar_s16_3]]
стр 16
{{gsyu_ar_s17_4}}*[[gsyu_ar_s17_4]]
{{gsyu_ar_s17_4}}*[[gsyu_ar_s17_4]]
{{gsyu_ar_s17_4}}*[[gsyu_ar_s17_4]]
стр 17
{{gsyu_ar_s18}}*[[gsyu_ar_s18]]
стр. 18
{{gsyu_ar_s19_1}}*[[gsyu_ar_s19_1]]
{{gsyu_ar_s19_2}}*[[gsyu_ar_s19_2]]
{{gsyu_ar_s19_3}}*[[gsyu_ar_s19_3]]
{{gsyu_ar_s19_4}}*[[gsyu_ar_s19_4]]
стр 19
{{gsyu_ar_s20_1}}*[[gsyu_ar_s20_1]]
{{gsyu_ar_s20_2}}*[[gsyu_ar_s20_2]]
стр 20
{{gsyu_ar_s21_1}}*[[gsyu_ar_s21_1]]
{{gsyu_ar_s21_2}}*[[gsyu_ar_s21_2]]
{{gsyu_ar_s21_3}}*[[gsyu_ar_s21_3]]
стр 21
{{gsyu_ar_s22_1}}*[[gsyu_ar_s22_1]]
{{gsyu_ar_s22_2}}*[[gsyu_ar_s22_2]]
[img[годунова2.png]]
{{gsyu_ar_s22_3}}*[[gsyu_ar_s22_3]]
стр 22
{{gsyu_ar_s23_1}}*[[gsyu_ar_s23_1]]
{{gsyu_ar_s23_2}}*[[gsyu_ar_s23_2]]
{{gsyu_ar_s23_3}}*[[gsyu_ar_s23_3]]
{{gsyu_ar_s23_4}}*[[gsyu_ar_s23_4]]
{{gsyu_ar_s23_5}}*[[gsyu_ar_s23_5]]
{{gsyu_ar_s23_6}}*[[gsyu_ar_s23_6]]
стр 23
{{gsyu_ar_s24_1}}*[[gsyu_ar_s24_1]]
{{gsyu_ar_s24_2}}*[[gsyu_ar_s24_2]]
стр 24
<center>''Основное содержание работы''
''В первой главе'' «//''К методологической характеристике новой лингвистической и риторической парадигмы''//» раскрываются основные положения диалогической философии, определившие векторы развития неориторики и антропоцентрической лингвистики; прослеживается эволюция теории языковой личности и предлагается — с учетом ее новых разработок — типология языковой личности учащегося как творца учебно-речевого текста.
В связи с актуализацией человеческого фактора в теории и практике обучения русскому языку оказывается востребованной категория «языковая личность». Первым в методике данное понятие выдвинул Ф.И. Буслаев (1897), рассматривавший личность ученика в качестве объекта воздействия учителя при обучении родному языку. Теория языковой личности восходит к эстетике Г.Г. Шпета, трудам В.В. Виноградова, М.М. Бахтина, Г.О. Винокура; первая детальная ее разработка представлена в концепции Г.И. Богина. Однако краеугольным камнем различных теоретических построений, связанных с феноменом языковой личности, становится модель, предложенная Ю.Н. Карауловым и фактически предстающая как модель анализа текстов, личностью порождаемых. Данная модель включает: нулевой, структурно-языковой уровень, отражающий степень владения и описывающий способы оперирования языком (лексикон, в том числе грамматикой); первый, лингво-когнитивный, отражающий языковую модель мира субъекта речи (тезаурус); второй, на котором выявляются и характеризуются цели и мотивы, обусловливающие поведение и развитие личности, организующие ее текстовую деятельность. Именно на последнем уровне определяется иерархия смыслов индивидуальной языковой картины мира (прагматикой). В авторской трактовке этой модели не вполне проработаны детали, содержатся некоторые противоречия. Так. слишком категоричным выглядит тезис о том,
@@color:#000080; что индивидуальность языковой личности проявляется и обнаруживается лишь на первом ее уровне, а нулевой уровень предопределяет речь как языковую данность. По нашим наблюдениям, лингвокреативные способности человека достаточно отчетливо актуализируются уже на нулевом уровне: формальные и семантические преобразования (словотворчество, тропика, грамматические категории) представляют важнейшие проблемные планы изучения поэтического языка и индивидуального стиля. Нуждается в уточнении вопрос об уровневой отнесенности иерархически организованной системы ценностей в языковой картине мира личности: эту систему более корректно соотносить только со вторым уровнем модели. @@ @@color:red; Несомненное значение теории Ю.Н. Караулова можно видеть в том, что она дает многоплановую картину порождения текста и способ его анализа, наполняя реальным содержанием идею о связи мышления не только с языком вообще, но с конкретным, объективированным в словесной форме текстом, который и фигурирует в общении. @@
В ряду новейших разработок этой теории, помимо интеграции разнородных феноменов когнитивной лингвистики, следует указать на типологические исследования: создание портретов языковых личностей отдельных референтных групп, классификации языковых личностей.
Мы определяем языковую личность, вслед за В.В. Красных, А.В. Пузыревым, как личность, способную создавать и воспринимать тексты, обладающую для этого определенной совокупностью знаний и умений; разделяем точку зрения, согласно которой необходим субстратный подход к феномену языковой личности. Это предполагает ее описание: на уровне мышления, на уровне языка, на уровне речи, на уровне коммуникации. Данные аспекты личности в сущностных чертах отражены в созданных ею текстах, что позволяет построить классификацию языковой личности учащегося на основе его письменной текстовой деятельности и таких критериев ее оценки, как текстовая компетентность и креативность. Первый термин мы понимаем не только как умение оценивать объем темы и структурировать ее, владение языковыми средствами когезии и жанрово-стилистического воплощения текста (Дымарский 1999), но и как умение организовать мыслеречевую деятельность в соответствии с риторическими законами. Креативность предполагает умение творчески разрабатывать тему, вербализуя ее в соответствии с принципом коммуникативной целесообразности.
Предлагаемая классификация, явившаяся результатом анализа большого количества творческих работ учащихся, включает шесть типов:
@@color:red;1.@@Homo scribens "currente calamo " (букв, "человек, пишущий "беглым пером"; быстро и необдуманно) создает сочинение, не имеющее четкой целевой установки и руководящей идеи (концепции речи), что предопределяет несоот-ветствие основным текстовым требованиям целостности, связности, информа-тивности, завершенности.
@@color:red;2.@@Scriptor (переписчик) владеет законами построения текста, однако основное содержание сочинения им «заимствуется» из какого-либо источника. Не
развивая своих идей, он //пересказывает//, его речь может быть развернутой и организованной, но несет на себе отпечаток «чужого слова».
3. C'ompilator (не добавляющий от себя) органично соединяет мысли и оценки, почерпнутые из разных источников, в текстовое целое, обеспечивая его стилевое единство. Организация и "увязка" микротем в сочинении происходит благодаря его собственным творческим усилиям, однако поиск авторского видения проблемы и самовыражение в слове при порождении текста представлены в незначительной степени.
4. Commentator (проясняющий смысл) умеет корректно построить свое сочинение как текст на основе различных источников; способен интерпретировать предмет речи, делая собственные примечания, комментарии; у него формируется умение находить и выражать свою позицию в рамках рассматриваемой темы.
5. Auctor (опирающийся на авторитеты, но излагающий собственные мысли) - высший тип автора-ученика, владеющего законами мыслеречевой (текстовой) деятельности и умеющего актуализировать в своем тексте с помощью разных приемов связь с произведениями литературы и художественной культуры.
6. Homo [[sui generis ]] (букв в своем роде, своеобразный) отличается не только текстовой компетентностью, но и самобытностью слога (даром слова), проявляет задатки филологической одаренности.
Данную типологию мы рассматриваем как своеобразный «слепок» естественной письменной речи учащихся в статике. Прослеживая процесс формирования текстовой компетентности в динамике, выделенные типы учеников-авторов можно охарактеризовать как стадии развития языковой личности:способности учащихся в процессе целенаправленного обучения текстовой деятельности постепенно раскрываются и развиваются. Учащийся способен подниматься с любой типологической ступеньки «текущего момента» на другую,более высокую (за исключением, по-видимому, последней, предполагающей наличие особых природных способностей).
Во второй главе «Основы теории текста в лннгводидактическом преломлении» рассматриваются — через призму задач современной лингводидактики —актуальные категории речеведения, отражающие, с одной стороны, разные аспекты порождения текста, а с другой - характеризующие процесс вторичной коммуникативной деятельности по его восприятию и декодированию, и выявляющиеся при различных подходах к изучению текста. Так, рассматриваются: лингвоцентрический подход, в рамках которого соотносятся текст и языковая система, изучаются особенности функционирования языковых единиц и категорий в условиях текста; текстоцентрический, связанный с представлением о тексте как о результате, "продукте" речевой деятельности с присущим ему набором релевантных характеристик; антропоцетрический, представленный несколькими направлениями: психолингвистическим, когнитивным, [[деривационным|Деривационное направление]], прагматическим, коммуникативным. Общая теория текста (текстоведение), дающая многоаспектное научное освещение этого феномена, предстает
как интегративная научная область, систематизирующая данные смежных наук о тексте, служит основой для выявления текстовых универсалий и норм, единиц текста и их связей, факторов текстообразования, специфики восприятия ифункционирования текстов в различных сферах устного и письменного общения. Текст как форма коммуникации имеет речевую природу и признается ключевым звеном в изучении речевой деятельности; текстоведение закономерно выступает как основа речеведения, исследующего глубинные речевые процессы и закономерности речевого общения.
Мы полагаем, что лингводидактика должна строить обучение видам речевой деятельности, ориентируясь не только на текстоцентрический подход(что, по сути, имеет место в школьной практике), но также на психолингвистический, коммуникативный и прагматический подходы. Первый представляет универсальную модель порождения текста, которое развертывается как строго определенная последовательность этапов: 1) мотивация; 2) общий замысел(внутренняя программа); 3) реализация программы (ее лексико-грамматическое оформление); 4) сопоставление реализации программы с начальным замыслом(«звено обратной связи»). Коммуникативный подход актуализирует взгляд на текст как на форму коммуникации и «сопряженную модель деятельности адресата и отправителя общения» (Е.В. Сидоров, 1987), связан с описанием текста как в плане его продуцирования (план отправителя, автора), так и в плане восприятия и воздействия (план адресата). Существенными при этом оказываются не только содержание и форма теста, но и различные экстралингвистические факторы (сфера, ситуация общения), приемы и средства интеллектуального и эмоционального взаимодействия автора текста и его адресата. Предметом прагматики как лингвистической дисциплины выступает совокупность корреляций между единицами языковой системы и коммуникативно-прагматическими слагаемыми речевого общения. В круг научного рассмотрения вовлекаются коммуниканты, определенным образом взаимодействующие друг с другом, обстановка, место и время общения. Прагматика вводит в метаязык лингвистики новые понятия (иллокуция - коммуникативное намерение, интенция; перлокуция — эффект воздействия, ожидания; стратегии и тактики и др.), в которых отражаются факторы, обусловливающие выбор языковых структур участниками интеракции. При таком подходе текст рассматривается как сложный иллокутивный и вместе с тем перлокутивный речевой акт, открывается новый угол зрения на природу текста (том числе письменного), предстающего как действие, происходящее между речевыми партнерами
Модели порождения текста, построенные в рамках данных подходов(прежде всего психолингвистического), наглядно демонстрируют, насколько далека от объективных процессов текстопорождения методика обучения речи,ориентирующая на создание текстов по готовым образцам, насколько она не соответствует истинной природе речевых процессов.
Феномен текста характеризуется в гносеологическом, эпистемическом, но прежде всего - в онтологическом плане (З.Я. Тураева 1993) как совокупность предложений, объединенных в целостную структуру различными типами связи,
*{{dtn_ar_s15_4}}*[[dtn_ar_s15_4]]
*{{dtn_ar_s16_s16}}*[[dtn_ar_s16_s16]]
*{{dtn_ar_s17_1}}*[[dtn_ar_s17_1]]
*{{dtn_ar_s17_2}}*[[dtn_ar_s17_2]]
*{{dtn_ar_s17_3}}*[[dtn_ar_s17_3]]
*{{dtn_ar_s17_4}}*[[dtn_ar_s17_4]]
*{{dtn_ar_s18_1}}*[[dtn_ar_s18_1]]
*{{dtn_ar_s18_2}}*[[dtn_ar_s18_2]]
*{{dtn_ar_s18_3}}*[[dtn_ar_s18_3]]
*{{dtn_ar_s19_1}}*[[dtn_ar_s19_1]]
*{{dtn_ar_s19_2}}*[[dtn_ar_s19_2]]
*{{dtn_ar_s20_1}}*[[dtn_ar_s20_1]]
*{{dtn_ar_s20_2}}*[[dtn_ar_s20_2]]
*{{dtn_ar_s20_3}}*[[dtn_ar_s20_3]]
*{{dtn_ar_s21_1}}*[[dtn_ar_s21_1]]
*{{dtn_ar_s21_2}}*[[dtn_ar_s21_2]]
*{{dtn_ar_s21_2}}*[[dtn_ar_s21_2]]
*{{dtn_ar_s24_2}}*[[dtn_ar_s24_2]]
*{{dtn_ar_s26_3}}*[[dtn_ar_s26_3]]
*{{dtn_ar_s26_4}}*[[dtn_ar_s26_4]]
*{{dtn_ar_s26_5}}*[[dtn_ar_s26_5]]
единством прагматической установки и сориентированных на передачу определенной информации Предпринимается анализ категорий, признаков и дефиниций текста в исследованиях по теории текста, на основе которого делаются выводы о наиболее важных и общепринятых текстообразуюших признаках завершенность, целостность, связность, структурность (членимость). информативность, прагматичность (Н.С Болотова, И.Р. Гальперин, Г.В. Колшанскии. С.Г. Ильенко, Ю Л. Сорокин и др ). Обзор определений текста в традиционных учебниках русского языка в целом свидетельствует об их несоответствии господствующему в лингвистике пониманию текста как целостного и завершенного речевого произведения, о недостаточной разграниченности текста и его компонентов (сложного синтаксического целого и др.); в определениях текста прежде всего акцентируется связность текста - смысловая и грамматическая, даются средства ее воплощения. В учебниках русского языка нового поколения круг текстоведческих понятий расширяется. Помимо связности, прямо или опосредованно называются: цельность, структурность, концептуальность (наличие главной идеи), завершенность. Однако понятия цельности, структурности раскрываются недостаточно Для формирования представления о цельности тек-ста, необходимо сформировать понятие о ее признаках, имеющих лингвистический и экстралингвистический характер, задаваемых коммуникативным намерением и реализуемых на всем пространстве текста; характеризующих текст через повторяемость; сигнализирующих о границах в структуре целостного текста (А.А.Леонтьев 1997) Осознание учащимися признака структурности должно связываться с представлением о структуре тексте - синтаксической,композиционной и логической, о единицах текста как его структурных компонентах, обладающих всеми существенными признаками текста, которые реализуются с разной степенью полноты. В ряду текстовых единиц, описанных в научной литературе (предложение, высказывание, ССЦ, абзац, компонент, регистр, информема и др.), в школьном учебнике - в соответствии с действующим стандартом - достаточно глубоко характеризуется предложение. Однако новый подход к обучению речевой деятельности ставит на повестку дня вопрос @@color:red; о @@ единицах текста, «имеющих коммуникативную направленность» (И.Г. Торсуева 1979); заслуживает внимания опыт представления в школьном учебнике регистра в качестве такой текстовой единицы (Г.А. Золотова и др. 2002). Наряду с новыми подходами к выделению текстовых единиц и новыми представлениями о самих этих единицах, неизменно актуальным и, на наш взгляд, @@color:red;наиболее значимым для обучения письменной речевой деятельности является изучение абзаца как стилистико-композиционной единицы текста. Абзацы членят текст на субтексты, обусловливая одновременно эффект и связи, и разграничения; абзацная структура представляет собой своеобразную логическую канву любого речевого произведения. @@ Именно поэтому начальные абзацные фразы текста или его относительно законченных фрагментов, представленные в совокупности и в заданной автором последовательности, также являют собой связный текст, или, точнее, «конспективное изложение полного текста» (Сиротинина 1996). Данный факт чрезвычайно значим для обучения учащихся продуцированию текста
его самооценки, а также для оценки сочинений учителем. Умение абзацировать речевое произведение способствует созданию логически выстроенного и связного текста; школьный учебник должен знакомить с основополагающими принципами деления речевого произведения на абзацы: конструктивным, факультативно-модальным и ассоциативным (И.А. Сыров 2000). Первый из них предполагает, что посредством абзацных отступов выделяются предложения:1) обозначающие фазы одного действия или последовательную сменяемость различных действий; 2) описывающие элементы одного объекта; 3) представляющие собой ряд тезисов, развивающих одно положение (одну мысль). Факультативно-модальный принцип предусматривает выделение с красной строки фрагмента, привносящего добавочное модальное значение — сомнения, поддержки, отрицания, утверждения и т.д.; тем самым проявляется авторский или косвенно-авторский план изложения в тексте. С опорой на ассоциативный принцип выделяются те части текста, предназначение которых - ориентация читателя на предшествующие контексты произведения, «возвращение» к ним или актуализация интертекста, «отсылка» читателя к тому или иному прецедентному тексту.
Отмеченные функции абзаца выдвигают его в качестве приоритетной категории обучения речевой деятельности в сфере письменной коммуникации (письмо, чтение): корректное структурирование текста в процессе его создания и правки невозможно без знания принципов выделения абзацев и общих критериев абзацного членения; в школьных учебниках, однако сведения об абзаце минимальны или отсутствуют.
Дефиниции текста в школьных учебниках, как и в научном контексте,должны исходить из того, что язык — явление социальное, в любом речевом акте реализующее главную свою функцию — общение. В рамках коммуникативного подхода определение текста должно содержать, наряду с указанием на речевую природу текста и важнейшие конститутивные признаки, указание на его прагматическую направленность. Необходимо также формировать представление о тексте как о феномене определенной жанровой принадлежности: вне жанра текст не существует. Данная важная характеристика впервые отмечена в дефиниции текста в учебном пособии для учащихся по русской словесности(А.И. Горшков 1995). С учетом имеющегося в лингводидактике опыта мы предлагаем вариант определения текста для продвинутого этапа обучения, подчеркивающего прагматическую сущность текста, его предназначенность для эмоционально-волевого воздействия на адресата. @@color:red; Текст — это соотносимое с определенным словесным жанром целостное речевое произведение, воплощенное в устной или письменной форме, характеризующееся содержательной и структурной завершенностью, связностью, сориентированное на определенную сферу общения и предназначенное для реализации цели говорящего (пишущего). @@
Рассматривая соотношение текста и дискурса, мы не разделяем их пони-мания как феноменов разной - соответственно языковой и речевой — природы. Интерпретация текста как речевой единицы опирается на конкретную индивидуальность использования языкового кода в текстовой деятельности, на дейст-
вне такого системообразующего фактора, как авторская интенция она задает жанрово-стилистические параметры, выбор языковых единиц и приемы их системной организации. Признание двойном (языковой и речевой) системности текста (М.Н. Кожина 1493) справедливо лишь в том отношении, что при создании всякого текста используются языковые единицы в соответствии с законами языковой системы, стоящей м текстом Вместе с тем текст как форма коммуни-кации приобретает качественно новые параметры, отражая индивидуальные исоциальные характеристики субъекта речи в использовании языка — вплоть донарушения его законов Это может быть обусловлено двумя альтернативнымимоментами: либо недостаточным знанием языка, либо стилистической мотива-цией.
Дискурс, в соответствии с программным определением Н Д. Арутюновой, понимается как речь, «погруженная в жизнь», речь в единстве с тем, что ее сопровождает (Лингвистический энциклопедический словарь 1990). С появлением дискурсивного подхода к рассмотрению речевых явлений обнаруживается 6тенденция к выходу за рамки системного описания внутритекстовых единиц, их синтагматики и парадигматики, осуществляется попытка расположить источник наблюдения не внутри текстового единства, а внутри более масштабной единицы, составляющей которой является и сам текст. Дискурс-анализ письменного речевого произведения предполагает изучение его технического, графического исполнения, способов развертывания коммуникативной стратегии и тактики, особенностей воплощения планов автора и адресата, приемов осуществления обратной связи, обстоятельств, в силу которых и при стечении которых происходит его продуцирование и восприятие.
В литературе отмечается тенденция осмыслить термин «дискурс» применительно к множеству текстов, созданных и функционирующих в определенной общественной сфере и реализующих те или иные важные для нее функции,соотносимые с функциями подсистем литературного языка. Данный метаязыковой нюанс проявляется в следующих, например, словоупотреблениях: @@color:red; научный дискурс @@ , педагогический дискурс, художественный дискурс и т.п. Целесообразно выделить и такую область логосферы, как учебно-творческий (учебно-речевой) дискурс, который закономерно является объектом изучения лингводидактики и реально востребован в образовательных областях «Русский язык» и «Литература». Этот феномен связан с организацией мыслеречевой деятельности учащихся в процессе их обучения; реализуется в письменной форме в рамках сложившейся в школьной практике системы творческих работ разных жанров; порождается как самостоятельно (или относительно самостоятельно) развертываемый текст автора-ученика. Он выступает особой разновидностью естественной письменной речи, главным признаком которой выступает «непрофессиональность», отсутствие специализированного отношения к письму как продуктивному виду речевой деятельности Его следует рассматривать с учетом внутритекстовых и сопутствующих текстовой деятельности сторон. Данный дискурс может быть охарактеризован как категория антрополингвистическая,содержащая в себе языковые приметы обобщенного (объективного), а также
индивидуального (субъективного) речевого мышления; категория духовная, отражающая проявления интеллектуальной, психоэмоциональной, гуманитарной деятельности учащегося; категория социокультурная, так как он востребован социальной практикой формирования языковой личности ребенка и объективируется в соответствии с определенными традициями теории словесности и школьной дидактики; категория регенеративная, так как обнаруживает способность к формальному и содержательному воспроизведению. Учебно-творческий дискурс - особым образом структурированная форма существования естественной письменной речи, сформированная отечественной традицией воспитания языковой личности учащегося и опирающаяся на сложившуюся в школьной практике систему творческих работ (сочинений) разных жанров, детерминированных различными коммуникативными установками и соотнесенностью с разными сферами использования литературного языка и его функциональными стилями. Данный феномен следует понимать прежде всего как результат мыслеречевой деятельности учащегося. Преимущественно в таком аспекте он и рассматривается в настоящей работе.
В работе актуализируется применительно к задачам обучения письмен-ной речевой деятельности категория лингвистической композиции текста и его анализа — @@color:red; словесный ряд @@ . Вслед за А.И. Горшковым, мы определяем ее как представленную в тексте последовательность (не обязательно непрерывную)языковых единиц разных ярусов, объединенных композиционной ролью и соотнесенностью с определенной сферой языкового употребления или с определенным приемом языкового выражения. Категория «словесный ряд» раскрывается как гибкий и действенный «инструмент» построения текста и его лингвистического анализа и интерпретации, поскольку зависит от характера исследуемого текста, от путей и задач его исследования, и, следовательно, предполагает выделение элементов текста по разным признакам. Так, при рассмотрении текста в плане его соотнесенности с разными сферами употребления, выделяются словесные ряды функционально-стилистической ориентации: книжно-поэтический, публицистический, разговорный и др.; при характеристике приемов языковой выразительности динамика словесных рядов предстает как последовательность элементов текста в плане параллелизма, противопоставления,повторяемости и т.д. Данной категории свойственна специфика состава: в качестве элементов словесного ряда могут выступать не только слова, но и словосочетания, синтаксические конструкции, тропы, фигуры и др. Так, в слове, входящем в словесный ряд, релевантными признаками могут оказаться не семантические показатели, а, например, морфологическая форма или акцентная структура (ср. молодец — молодец: в ряду слов с фольклорно-поэтической окраской закономерно появление последнего). Роль словесных рядов в создании и восприятии текста раскрывается на примере художественных текстов (рассказа В. Белова «Холмы», сложного философского стихотворения О. Мандельштама «И я выхожу из пространства...») и текста учебно-творческого дискурса: лингвистическая композиция, подобно архитектонике, «строит» любой текст и вы-ступает как фактор когезии и структурирования смысла. Особенно важно ис-
пользование категории словесного ряда при интерпретации стихотворных произведений словесно-ассоциативной организации В таких текстах зрительно-наглядная основа опросного строя оттеснена на второй план, и особое значение приобретают внутренние связи отдельного текста, индивидуальный контекст. Правильно выявленные словесные ряды эти связи эксплицируют, помогая декодированию амбивалентных лексических единиц Такой подход особенно важен в тех случаях, когда образный и собственно понятийный языки в рамках идиостиля практически нераздельны (В П Григорьев 1995).
В целях выявления других актуальных для обучения учащихся текстовой деятельности категорий рассматриваются факторы текстообразования - причины и условия, определяющие и стимулирующие отбор и организацию языковых средств, необходимых для построения текста. Различая в ряду этих факторов объективные и субъективные, мы рассматриваем первые как одинаково действующие при создании любого текста, а вторые - как действующие при создании текста специфическим образом.
Согласно проведенному нами анализу научной и методической литературы, в ряд субъективных факторов, первостепенных для построения учебно-творческого текста, следует включить: личность автора с его мировоззренческими и идиостилистическими особенностями, тематическое содержание и концептуальную направленность текста (идею), ключевые слова, тематические группы слов, типы выдвижения, образ адресата. В учебной и методической литературе эти факторы представлены по-разному и с разной степенью детализации. В ряде случаев требуется не только подчеркнуть их значение в создании текста, но и углубить, скорректировать представления об их сущности и текстообразуюшей роли. Так, понимание идеи текста как того, «к чему он призывает, чему учит, ради чего написан» (Е.И. Никитина 1993), должно быть, на наш взгляд, дополнено указанием на субъективно-личностное, авторское мировоззренческое начало в понятии «идея». @@color:red; Требуют более углубленной разработки приемы обучения выбору ключевых слов при работе над сочинением, который учащиеся должны учиться осуществлять не только с учетом темы своей творческой работы, но также имея в виду идею, пафос и авторский замысел в целом. @@ Основные лингвистические основания выделения темы справедливо видят в тематических группах слов, однако и денотативная структура текста, отражающая связь с реалиями действительности, воссоздаваемой в нем, должна рассматриваться в качестве тематического критерия (Г.Д.Чистякова 1975, А.И.Новиков 1983). Необходимо, формировать понимание того, что особенности текстового воплощения темы зависят от мировоззрения и понимания темы, речевой интенции субъекта речи. Учащиеся должны осознать, что тема заметно трансформируется применительно к разным жанрово-стилистическим разновидностям письменной речи: в научном произведении она предстает как предметно-понятийная, организованная строго логически; тема публицистического текста может быть охарактеризована как «пропагандистски» окрашенная, социально-проблемная и т.д. С точки зрения поэтапного восприятия текста тему це-
лесообразно рассматривать как его результат, с точки зрения процедуры анализа - это один из исходных моментов его изучения (Н.С. Болотнова 2000).
@@color:red; Для работы над темой целесообразно использовать тематические словари русского языка, построенные как своеобразные учебные модели лексической системы русского языка в ее коммуникативной направленности: по своим установкам тематический словарь связан с речевой, динамической ономасиологией, описывающей единицы языка в их отношении к процессу общения. @@ В работе рассматриваются разные типы таких словарей (академические и учебные), отмечаются возможности их использования в обучении учебно-речевой деятельности. Обсуждается роль ключевых слов при продуцировании и восприятии текста. Особое внимание обращается на типы выдвижения — способы формальной организации текста, фокусирующие внимание на определенных элементах сообщения и реализуемые с помощью стилистических приемов, поскольку это сегодня — одно из самых слабых звеньев обучения: в большинстве действующих школьных учебников русского языка информация о средствах и приемах выразительности представлена минимально.
''В третьей главе'' «Риторическая парадигма речеведения» обсуждаются роль риторики в гуманитарной культуре и сфере образования, актуальные для современной российской логосферы речевые образцы, современный риторический канон; характеризуется как риторический прецедент письменный текст.
Квинтэссеция риторического знания предстает как система законов мыслеречевой деятельности; их представляет формула, интегрирующая систему взаимообусловленных и взаимосвязанных шагов и правил построения речи (Е.А. Юнина, Г.М. Сагач 1992):
<center> ''К+А + С + Т + Р + ЭК+СА''
Буквенные символы означают соответствующие риторические законы: концептуальный, моделирования адресата (аудитории), стратегический, тактический, речевой, эффективной коммуникации, системно-аналитический
''Второй раздел'' «Учебно-творческий дискурс в научно-методическом и экспериментальном освещении» также включает три главы
В первой из них «Учебно-творческий дискурс: лингвистические и экстра-лингвистические аспекты характеристики» рассматриваются типические и специфические параметры текста как продукта учебно-речевой деятельности, он характеризуется с типологической точки зрения; развивается нетрадиционный взгляд на него как на речевое произведение, наполненное личностными смыслами, - под углом зрения теории возможных миров.
Сочинение учащегося проходит обычно следующие этапы порождения:объявление (выбор) темы; активизация той части тезауруса, на основе которой тема будет раскрыта; (коллективное) составление плана как стратегической установки развертывания текста; определение набора ключевых слов, выступающих результатом компрессии текста и предъявляемых учащимся в качестве опоры для его восстановления. Набор заданных ключевых слов как эквивалент смыслового ядра текста ограничивает возможности пишущего в поиске других лексических средств для формирования содержания. Идейно-тематическая раз-
работка текста совершается в основном на вербальных этапах внешнего речепорождения Предвербальные этапы мотивационный, мыслеформируюший. вербально-авербальный в порождении учебно-речевого текста весомой роли не играют (А.Ш. Зайнетдинов 2001) С этим связаны другие типичные негативные моменты в организации учебно-речевой деятельности опора на текст-образец или заданный набор ключевых слов, «навязанная» программа речевых действий (готовый план, намечающий развертывание содержания), ущербность «звена обратной связи» (не сопоставляется реализованная программа речи с ее смыслом, рефлексия учащегося по поводу созданного им текста минимальна или отсутствует)
Характеристику учебно-речевого текста дополняет его рассмотрение в плане реализации в нем некоторых системных качеств текста. Текст как продукт учебно-речевой деятельности отличается относительно невысоким уровнем информативности и содержательной оригинальности, поскольку в нем отражается в основном общечеловеческая часть информационного тезауруса. Для него наиболее характерны такие виды информации, как предметно-логическая, фактуальная, эмоциональна, оценочная; концептуальная далеко не всегда представлена отчетливо и, как правило, отсутствует подтекстовая и эстетическая информация Структурность, характеризуемая через членение текста на составные структурно-смысловые элементы и предполагающая их взаимосвязь и взаимозависимость, формируется в учебно-речевом произведении на основе использования тематического и ассоциативного принципов организации словесного материала внутреннего лексикона языковой личности учащегося; на языковом уровне это выражается в оперировании набором ключевых слов, распределяемых в тексте на основе «нулевой» композиции - преимущественно «цепочечно». Интегративностъ (термин, введенный Е.В. Сидоровым), интерпретируемая как ориентация всех элементов текстовой структуры на синтез, благодаря которому и происходит воплощение содержательного плана текста в соответствии с авторским замыслом и прагматической установкой, имеет психолингвистическую природу и тесно связана с признаком целостности В учебно-речевом произведении целенаправленная ориентация элементов речевой структуры на воплощение содержательного плана текста в соответствии с интенцией субъекта речи не прослеживается или, по крайней мере, выражена недостаточно. @@color:red; Регулятивность - системное качество текста, благодаря которому он проявляет способность «управлять» познавательной деятельностью и восприятием адресата посредством задействованных в его словесно-речевой @@
<center>''Общая характеристика работы''</center>
@@color:red;Лингводидактика как теория и практическая методика обучения русскому языку@@ складывалась под воздействием многих социокультурных факторов и в непосредственной связи с достижениями отечественной русистики, психологии, педагогики, в соответствии с запросами школьной практики. С начала XX века до нашего времени эта область научного знания прошла сложный, нередко противоречивый путь развития. Сегодня стала очевидной наиболее выраженная ее тенденция - стремление к интеграции с достижениями современного языкознания, востребованного прежде всего в таких его новых областях, как коммуникативная лингвистика, теория речевых актов, лингвокультурология, социолингвистика, психолингвистика и этнолингвистика.
*{{dtn_ar_s3_1}}*[[dtn_ar_s3_1]]
*{{dtn_ar_s3_2}}*[[dtn_ar_s3_2]]
*{{dtn_ar_s5_5}}*[[dtn_ar_s5_5]]
*{{dtn_ar_s6_5}}*[[dtn_ar_s6_5]]
*{{dtn_ar_s7_1}}*[[dtn_ar_s7_1]]
*{{dtn_ar_s7_2}}*[[dtn_ar_s7_2]]
*{{dtn_ar_s7_3}}*[[dtn_ar_s7_3]]
*{{dtn_ar_s8_2}}*[[dtn_ar_s8_2]]
*{{dtn_ar_s8_4}}*[[dtn_ar_s8_4]]
*{{dtn_ar_s9_1}}*[[dtn_ar_s9_1]]
*{{dtn_ar_s9_2}}*[[dtn_ar_s9_2]]
*{{dtn_ar_s9_3}}*[[dtn_ar_s9_3]]
*{{dtn_ar_s9_4}}*[[dtn_ar_s9_4]]
*{{dtn_ar_s11_3}}*[[dtn_ar_s11_3]]
*{{dtn_ar_s11_6}}*[[dtn_ar_s11_6]]
*{{dtn_ar_s12_4}}*[[dtn_ar_s12_4]]
*{{dtn_ar_s13_1}}*[[dtn_ar_s13_1]]
*{{dtn_ar_s13_2}}*[[dtn_ar_s13_2]]
*{{dtn_ar_s13_3}}*[[dtn_ar_s13_3]]
*{{dtn_ar_s13_4_1}}*[[dtn_ar_s13_4_1]]
*{{dtn_ar_s13_4_2}}*[[dtn_ar_s13_4_2]]
*{{dtn_ar_s13_4_3}}*[[dtn_ar_s13_4_3]]
*{{dtn_ar_s14_1_1}}*[[dtn_ar_s14_1_1]]
*{{dtn_ar_s14_1_2}}*[[dtn_ar_s14_1_2]]
*{{dtn_ar_s14_1_3}}*[[dtn_ar_s14_1_3]]
*{{dtn_ar_s14_1_4}}*[[dtn_ar_s14_1_4]]
*{{dtn_ar_s14_1_5}}*[[dtn_ar_s14_1_5]]
*{{dtn_ar_s14_2}}*[[dtn_ar_s14_2]]
*{{dtn_ar_s14_3}}*[[dtn_ar_s14_3]]
*{{dtn_ar_s15_1}}*[[dtn_ar_s15_1]]
*{{dtn_ar_s15_1}}*[[dtn_ar_s15_1]]
*{{dtn_ar_s15_2}}*[[dtn_ar_s15_2]]
*{{dtn_ar_s15_3}}*[[dtn_ar_s15_3]]
@@color:red; структуре элементов. Этому способствуют использованные в тексте регулятивные средства и структуры, соотносимые в сознании адресата с установками, мотивами, «направлением взгляда» автора @@ . Этот признак, прагматический в своей основе, коррелирует с такими категориями текста, как модальность, эмотивность и экспрессивность. Модальность понимается как результат субъективного авторского осмысления действительности и отражает оценочное отношение к ней. Эмотивность - специфическая текстовая категория, служащая «для внешней трансляции эмоционального состояния языковой личности» (Шаховский 1998). Экспрессивность связана с эффектом выразительности и создается путем отбора и особой организации языковых средств в тексте. В учебно-речевом произведении обычно моделируются категории модальности и эмотивности, однако экспрессивность проявляется весьма слабо; уровень выразительности такого текста относительно невысокий. Главным критерием экспрессивности следует считать оппозицию «стандартность — нестандартность»,то есть отсутствие выразительности определяется главным образом как шаблонность, стереотипность речи. Такой подход к выразительности речи дает корректное представление о том, почему ученическое сочинение, изобилующее тропами, менее выразительно, чем, например, пейзажное описание у Чехова, в котором художественные приемы единичны
Углубляет представление о произведениях учебно-творческого дискурса их описание через призму классификаций текста, выявляющих разные его типы. Под типом текста понимается форма текста, в которой реализуется коммуникативное намерение говорящего и которая строится по определенным стандартам и нормам на основе повторяющихся признаков, позволяющих соотносить отдельные экземпляры текста с типами текста (Engel 1994; Busman 1990 идр.). Исследователи классифицируют тексты, оперируя как языковыми, так и экстралингвистическими критериями, учитывая объективные факторы порождения текста и его восприятия (реальные .текстовые параметры) и субъективные(аспект анализа, цели и задачи исследования). В основу классификации могут быть положены, например, такие разные основания, как тематика текста, тип связей, способ выражения информации, характер его интерпретации и т.д.
''Цель исследования '' состоит в разработке целостной методической системы формирования коммуникативно-речевых умений учащихся по продуцированию жанрово определенных текстов на основе лингвистических (речеведческих) и риторических знаний, а также общекультурной и литературной компетентности учащихся.
Методологической основой исследования явились положения о взаимосвязи мышления и речи, о взаимосвязанном обучении рецептивным и про-
дуктивным видам речевой деятельности; о взаимосвязи языка, литературы и культуры, о единстве теории и практики в обучении. Были актуализированы применительно к лингводидактике методологические принципы диалогической философии (М.М. Бахтин, B.C. Библер, А. Введенский, П. Флоренский, С.Франк), теории речевой деятельности, психолингвистики (А.А. Леонтьев, А.Р.Лурия, И.А. Зимняя, Т.В. Ахутина, Л.Н. Мурзин и др.), психологии восприятия искусства (Л.С. Выготский), риторические концепции; задействован более широкий взгляд на язык как на достояние духовного мира человека. @@color:red; В качестве системообразующего использовалось понятие «языковая личность», поскольку именно в сознании человека сопрягаются языковые значения, образы литературы и категории культуры. @@
''Объектом исследования'' выступают коммуникативно-речевые умения и навыки учащихся, формируемые в процессе обучения русскому языку и объективируемые в созданных ими текстах. В состав этих текстов вошли сочинения,написанные учащимися экспериментальных классов, а также созданные участниками республиканских литературно-творческих конкурсов, олимпиад и опубликованные в восьми составленных нами сборниках творческих работ учащихся: «И пальцы просятся к перу, перо — к бумаге...» (Уфа, 1999), «Быть на земле поэтом» (Уфа, 1999), «Горжусь тобой, родной Башкортостан!» (Уфа,2000); «Минуты с вечностью» (Уфа, 2001), «Мои истоки» (Уфа, 2002), «Мне повезло с землей моей» (Уфа, 2004) и др.
''Предмет диссертационного исследования'' - разработка методики формирования коммуникативно-речевых умений и навыков учащихся по продуцированию письменного текста в процессе учебно-речевой деятельности. Формирование учебно-предметных умений мы рассматриваем как целенаправленное управление процессом речевого развития школьников — развития их способности осознавать универсальные законы и этапы порождения речи, ориентироваться на правила, регулирующие построение жанрово определенного, адресного, связного и целостного текста, использовать языковые средства и приемы их организации в тексте в соответствии с принципом коммуникативной целесообразности.
''На защиту выносятся следующие основные положения''
2. Внедрение текстоцентрического и жанрово-типологического подходов к обучению текстовой деятельности требует использования для задач обучения русскому языку достижений современной антропоцентрической лингвистики, элементов ее метаязыка, выявления коммуникативных универсалий, имеющих лингвистическую и экстралингвистическую основу. В качестве приоритетного объективного фактора текстообразования выдвигается категория речевого жанра, выступающего как объективная реальность речевой действительности, факт общественного языкового сознания и инструмент научного описания.
3. Эффективность формирования языковой личности человека пишущего(человека говорящего) предполагает необходимость риторического подхода в школьном лингвистическом образовании: в современной теории и практике речевой коммуникации прежде всего риторика несет идеи диалогики и предлагает интегральную программу трансформации идеи в слово - технологическую основу развертывания мыслеречевой деятельности как строго выверенную последовательность ее этапов.
4. Систематическая, целенаправленная работа по распознаванию, анализу и продуцированию текстов различных жанров учебно-творческого дискурса в письменно-речевой деятельности учащихся является необходимым условием формирования коммуникативных умений и навыков, обеспечивающих высокие результаты речевого (речемыслительного) развития учащихся.
5. Формирование коммуникативно-речевых навыков по продуцированию текста следует рассматривать как процесс, в основе которого лежит осознанное овладение не только единицами языка и приемами их организации в высказывании, но и знанием законов риторики, правил построения жанрово определенного текста с учетом его дискурсивных характеристик.
6. Уровень развития языковой личности учащегося в сфере учебно-письменной коммуникации определяется главным образом результатами его текстовой деятельности; формирование речевых способностей школьника в динамике может быть охарактеризовано как последовательность стадий развития языковой личности человека пишущего
[[Емельянова З.В.]] [[Формирование интерактивной компетенции языковой личности при обучении иностранным языкам в неязыковом вузе]]
[[содержание диссертации|ezv_dis_soderzanie]]
* [ext[ссылка ар|https://rusneb.ru/catalog/000200_000018_RU_NLR_bibl_223194/viewer/]] * [ext[ссылка arD|https://yadi.sk/i/ABa4-QdKDjp0aQ]]*[ext[ссылка в библиотеку|file:///D:/BI/a_emilianova_zv.pdf]]
[[ezv_ar 1]]
---
* {{ezv_ar_s3_3}}*[[ezv_ar_s3_3]]
* {{ezv_ar_s3_4}}*[[ezv_ar_s3_4]]
* {{ezv_ar_s3_7}}* [[ezv_ar_s3_7]]
* {{ezv_ar_s3_7 1}}* [[ezv_ar_s3_7 1]]
* {{ezv_ar_s3_8}}* [[ezv_ar_s3_8]]
* {{ezv_ar_s4_1}}* [[ezv_ar_s4_1]]
* {{ezv_ar_s4_2}}* [[ezv_ar_s4_2]]
* {{ezv_ar_s5_3-1}}* [[ezv_ar_s5_3-1]]
* {{ezv_ar_s5_3-2}}* [[ezv_ar_s5_3-2]]
* {{ezv_ar_s5_3-3}}* [[ezv_ar_s5_3-3]]
* {{ezv_ar_s5_3-4}}* [[ezv_ar_s5_3-4]]
* {{ezv_ar_s8_3}}* [[ezv_ar_s8_3]]
[[Емельянова З.В.]] Формирование интерактивной компетенции языковой личности при обучении иностранным языкам в неязыковом вузе
[[содержание диссертации|ezv_dis_soderzanie]]
* [ext[ссылка ар|https://rusneb.ru/catalog/000200_000018_RU_NLR_bibl_223194/viewer/]] * [ext[ссылка arD|https://yadi.sk/i/ABa4-QdKDjp0aQ]]*[ext[ссылка в библиотеку|file:///D:/BI/a_emilianova_zv.pdf]]
[[ezv_ar]]
---
!! ''@@color:red; Формирование интерактивной компетенции языковой личности @@ @@color:brown;при обучении иностранным языкам @@ в неязыковом вузе.''
* @@color:red; Цель исследования @@- определение педагогических условий, обеспечивающих эффективность @@color:red;формирования интерактивной компетенции языковой личности @@ при обучении иностранным языкам в неязыковом вузе
* Предмет исследования - процесс формирования языковой личности студентов экономического профиля в контексте подготовки к межкультурной деловой коммуникации.
* @@color:brown; Объект исследования @@ - формирование языковой личности студентов @@color:brown; при обучении иностранному языку @@.
---
*PrimYu
* { {ezv_ar_s3_8}}* [[ezv_ar_s3_8]]** { {ezv_ar_s4_1}}* [[ezv_ar_s4_1]]** { {ezv_ar_s4_2}}* [[ezv_ar_s4_2]]
---
Подготовка специалистов в свете нового подхода к вопросу о их профессиональной подготовке проводится на основе коммуникативной направленности обучения, которая связана с формированием [[интерактивной компетенции|Интерактивная компетенция]] с целью развития познавательных процессов, творческого мышления, речевой активности.
Обеспечение современного уровня и качественно нового воспитания молодежи предполагает совершенствование форм и методов подготовки языковой личности. При этом приобщение русскоязычной языковой личности (Ю.Н. Караулов) к профессиональным фрагментам англоязычной картины мира существенно ограничено отсутствием в её картине мира многих стереотипных ситуаций общения, профессиональных концептов, свойственных социуму страны изучаемого языка (Т.Н. Астафурова, И.А. Климов).
Моделирование в учебном процессе ситуации профессионального сотрудничества, где ''язык выступает как инструмент социального взаимодействия,'' становится велением времени.
язык выступает как инструмент социального взаимодействия,
''Объект исследования'' - формирование языковой личности студентов при обучении иностранному языку.
''Предмет исследования'' - процесс формирования языковой личности студентов экономического профиля в контексте подготовки к межкультурной деловой коммуникации.
''Цель исследования'' - определение педагогических условий, обеспечивающих эффективность формирования интерактивной компетенции языковой личности при обучении иностранным языкам в неязыковом вузе.
''Научная новизна и теоретическая значимость исследования'':
1 Разработана трехступенчатая модель формирования языковой личности при условии развития интерактивной компетенции;
2 Выявлены рациональные педагогические условия, обеспечивающие эффективность формирования языковой личности
3 Реализован принцип "деятельности в контексте культуры" через обращение феномена речевой деятельности на реалии языка и культуры путем лингвистического и культуроведческого анализов в рамках когнитивных моделей ситуаций делового общения.
Концепция языковой личности разрабатывалась многими отечественными исследователями (В.В. Воробьев, T.Л. Калентьева, Е.М. Верещагин и др.).@@color:red; В нашем исследовании мы придерживались определения, данного Ю.Н. Карауловым, в котором языковая личность подразумевается как личность, выраженная в языке, отражающаяся через картину мира. @@ Поэтому язык - нация (национальная личность) - культура - центральная триада, рассматриваемая в нашем исследовании.
Глава 1. Теоретические основы формирования интерактивной компетенции языковой личности при обучении иностранным языкам в неязыковом вузе
1.1. Формирование языковой личности в процессе педагогического общения 9
1.2. Формирование иноязычной речевой деятельности на основе когнитивных моделей ситуаций делового общения
1.3. Формирование интерактивной компетенции на основе
компаративно-культуроведческого анализа в контексте диалог а культур, межкультурной деловой коммуникации
Выводы
Глава 2. Обеспечение педагогических условий формирования интерактивной компетенции языковой личности при обучении иностранным языкам будущих экономистов
2.1. Опытно-экспериментальная работа на основе введения когнитивных моделей интерактивного взаимодействия
2.2. Модель формирования языковой личности на основе спецкурса Деловой английский
2.3. Результаты опытно-экснериментальной работы
\define lingo-base() $:/language/ControlPanel/Basics/
Добро пожаловать в русифицированную ~TW, нелинейную личную сетевую записную книжку.
Для начала убедитесь, что у вас работает сохранение.
Затем вы можете:
* Создать новые заметки, используя кнопку 'плюс' на боковой панели
* Зайти в панель управления, используя кнопку с изображением 'шестерёнки' на боковой панели и настроить TiddlyWiki на свой вкус
** Убрать это сообщение, изменив настройку 'заметки по умолчанию' на вкладке Основные
* Сохранить изменения при помощи кнопки 'скачать' на боковой панели
* Изучить подробнее WikiText
!! Set up this ~TiddlyWiki
<div class="tc-control-panel">
|<$link to="$:/SiteTitle"><<lingo Title/Prompt>></$link> |<$edit-text tiddler="$:/SiteTitle" default="" tag="input"/> |
|<$link to="$:/SiteSubtitle"><<lingo Subtitle/Prompt>></$link> |<$edit-text tiddler="$:/SiteSubtitle" default="" tag="input"/> |
|<$link to="$:/DefaultTiddlers"><<lingo DefaultTiddlers/Prompt>></$link> |<<lingo DefaultTiddlers/TopHint>><br> <$edit-text tag="textarea" tiddler="$:/DefaultTiddlers"/><br>//<<lingo DefaultTiddlers/BottomHint>>// |
</div>
See the [[control panel|$:/ControlPanel]] for more options.
[[Григорьева-Голубева В.А.]] Становление гуманистических ценностей педагога (в аспекте языковой личности)
Автореферат [[ggva_ar 1]]
*[ext[ссылка интернет НЭБ|https://rusneb.ru/catalog/000200_000018_RU_NLR_bibl_437989/viewer/]]* [ext[ссылка дисерткат|https://www.dissercat.com/content/stanovlenie-gumanisticheskikh-tsennostei-pedagoga-v-aspekte-yazykovoi-lichnosti]]
*[ext[ссылка в библиотеку|file:///D:/BI/a_grigorieva-golubeva_va.pdf]]
---
*{{ggva_ar_s3}}*[[ggva_ar_s3]]
*{{ggva_ar_s4_1}}*[[ggva_ar_s4_1]]
*{{ggva_ar_s4_2}}*[[ggva_ar_s4_2]]
*{{ggva_ar_s4_3}}*[[ggva_ar_s4_3]]
*{{ggva_ar_s4_4}}*[[ggva_ar_s4_4]]
*{{ggva_ar_s5_1}}*[[ggva_ar_s5_1]]
*{{ggva_ar_s5_2}}*[[ggva_ar_s5_2]]
*{{ggva_ar_s6_4}}*[[ggva_ar_s6_4]]
*{{ggva_ar_s6_5}}*[[ggva_ar_s6_5]]
*{{ggva_ar_s6_6}}*[[ggva_ar_s6_6]]
*{{ggva_ar_s6_7_1}}*[[ggva_ar_s6_7_1]]
*{{ggva_ar_s6_7_2}}*[[ggva_ar_s6_7_2]]
*{{ggva_ar_s7_1_1}}*[[ggva_ar_s7_1_1]]
*{{ggva_ar_s7_1_2}}*[[ggva_ar_s7_1_2]]
*{{ggva_ar_s7_1_3}}*[[ggva_ar_s7_1_3]]
*{{ggva_ar_s7_1_4}}*[[ggva_ar_s7_1_4]]
*{{ggva_ar_s7_1_5}}*[[ggva_ar_s7_1_5]]
*{{ggva_ar_s10_3_0}}*[[ggva_ar_s10_3_0]]
*{{ggva_ar_s10_3_1}}*[[ggva_ar_s10_3_1]]
*{{ggva_ar_s10_3_2}}*[[ggva_ar_s10_3_2]]
*{{ggva_ar_s10_3_3}}*[[ggva_ar_s10_3_3]]
*{{ggva_ar_s10_3_4}}*[[ggva_ar_s10_3_4]]
*{{ggva_ar_s11_1_1}}*[[ggva_ar_s11_1_1]]
*{{ggva_ar_s11_1_2}}*[[ggva_ar_s11_1_2]]
*{{ggva_ar_s11_2}}*[[ggva_ar_s11_2]]
*{{ggva_ar_s12_1}}*[[ggva_ar_s12_1]]
*{{ggva_ar_s12_2}}*[[ggva_ar_s12_2]]
*{{ggva_ar_s28_4}}*[[ggva_ar_s28_4]]
*{{ggva_ar_s29_1}}*[[ggva_ar_s29_1]]
*{{ggva_ar_s29_2}}*[[ggva_ar_s29_2]]
*{{ggva_ar_s29_3}}*[[ggva_ar_s29_3]]
*{{ggva_ar_s30_1}}*[[ggva_ar_s30_1]]
*{{ggva_ar_s30_2}}*[[ggva_ar_s30_2]]
!! Блок подготовки материала
[[ggva_ar]]
Автореферат [[Григорьева-Голубева В.А.]] Становление гуманистических ценностей педагога (в аспекте языковой личности)
---
!! Тема ''Становление гуманистических ценностей педагога (в аспекте языковой личности)''
* Цель исследования - разработка и обоснование концепции развития гуманистических ценностей языковой личности будущих учителей.
* Предмет исследования - процесс развития языковой личности учителя начальных классов как носителя гуманистических ценностей.
* Объект исследования - процесс подготовки будущих учителей к профессионально-педагогической деятельности.
<<<
PrimYu*{ {ggva_ar_s6_4}}*[[ggva_ar_s6_4]]*{ {ggva_ar_s6_5}}*[[ggva_ar_s6_5]]*{ {ggva_ar_s6_6}}*[[ggva_ar_s6_6]]
<<<
---
*[[На защиту выносятся|ggva_ar 1 nzv]]
*[[Научная новизна|ggva_ar 1 nn]]
''Научная новизна ''исследования заключается в том, что в нем
* структурирована система гуманистических ценностей в современном образовании, представляющая трехкомпонентную структуру, слагаемыми которой стали: 1) универсальные, базовые гуманистические педагогические ценности; 2) ценности профессионального владения педагогическим общением; 3) ценности, составляющие педагогическую культуру;
* обоснована и экспериментально проверена профессионально ориентированная совокупность ценностей педагогического общения (эмпатия, конгруэнтность, рефлексия, толерантность, активный подход, доброжелательность, эмоциональная стабильность), являющаяся составной частью системы профессионально значимых гуманистических ценностей современного образования;
* предложена концепция развития языковой личности будущего педагога начального образования, основывающаяся на использовании трех: ступеней развития языковой личности: языкового чутья; языкового образования; языкового сознания и самосознания -находящих свое воплощение в реализации ресурсов авторской модели совершенствования речевой подготовки будущих учителей;
* разработана и обоснована концептуальная модель языковой личности учителя, работающего в парадигме современного образования;
* показаны особенности развития профессионального самосознания учителя начальных классов
cnh 12
* определены (с использованием эмпирических данных, полученных на репрезентативной выборке) особенности речевого взаимодействия учителей начальных классов;
* выявлена специфика коммуникативного поведения педагога (паралингвистических средств общения: имплицитной коммуникации и невербальных сигналов);
В научно-методическом плане новизну составляют:
• обоснование исходных принципов и построение общей модели организации и проведения педагогического эксперимента, связанного с проверкой эффективности экспериментальной системы гармонизации речевого поведения будущих педагогов;
• выявление структурно-содержательных этапов развития языковой личности будущего педагога, определяющих основу гуманистической ценностной диспозиции личности.
• комплекс созданных или модифицированных научно-практических и диагностических методов оценки уровней сформированности компонентов языковой личности.
*{{ggva_ar_s10_3_0}}
*{{ggva_ar_s10_3_1}}
*{{ggva_ar_s10_3_2}}
*{{ggva_ar_s10_3_3}}
*{{ggva_ar_s10_3_4}}
*{{ggva_ar_s11_1_1}}
*{{ggva_ar_s11_1_2}}
''На защиту выносятся следующие положения:''
1. Система гуманистических ценностей в современном образовании представляет собой трехкомпонентную структуру, слагающуюся из: а) универсальных, базовых гуманистических педагогических ценностей (антропоцентризм, самостоятельная и творческая роль человека, самопознание, развитие интеллекта, моральное воздействие знания, посильное развитие способностей, свободное поведение личности); б) ценностей педагогического общения (эмпатия, конгруэнтность, рефлексия, толерантность, активный подход, доброжелательность, эмоциональная стабильность); в) ценностей, определяющих педагогическую культуру (профессиональная увлеченность, нравственность, такт, ответственность).
2. Гуманизация педагогического образования посредством развития языковой личности будущего учителя, обучение его гармоничному речевому поведению для создания на уроке гуманистически ценного полилога, атмосферы взаимопонимания, сотрудничества, «взращивания человека», предоставления ему свободы для самовыражения является насущной необходимостью.
3. Концепция развития языковой личности будущего учителя в современном образовании представлена тремя ступенями: 1) развитием языкового чутья, 2) повышением уровня языкового образования, 3) гармонизацией, развитием языкового сознания, филологической культуры будущего учителя, свидетельствующими о присвоении гуманистических ценностей общения будущими учителями.
4. @@color:red; Теоретическая модель языковой личности @@ педагога представляет собой @@color:red; систему @@ , в которой выделены @@color:red; пять @@ этапов развития грамотного профессионального речевого поведения, определяющих основу гуманистически ценностной диспозиции личности:@@color:red; коммуникативный потенциал личности (общительность), коммуникативная компетентность, профессиональная культура речи, коммуникативная культура, коммуникативное поведение @@ .
5. Экспериментальная система гармонизации речевого поведения будущих педагогов основана на концепции развития языковой личности будущего учителя, третья ступень которой представляет собой педагогическую технологию развития языковой личности студентов - будущих учителей начальных классов.
6. Педагогическая технология развития языковой личности ориентирована на совершенствование речевой подготовки студентов, обучающихся в педагогическом колледже, и способствует развитию способностей и свойств языковой личности будущих учителей начальных классов, вследствие чего они могут осуществлять профессионально коммуникативную речевую деятельность, которая имеет гуманистическую направленность, предстающую в конкретных проявлениях: предметно-образной и предметно-понятийной речевой адаптации содержания образования; оказании эмоциональной поддержки воспитанникам, развитии у них мотивационно-ценностных установок; организации и управлении общением.
''Научная новизна'' исследования заключается в том, что в нем
* структурирована система гуманистических ценностей в современном образовании, представляющая трехкомпонентную структуру, слагаемыми которой стали: 1) универсальные, базовые гуманистические педагогические ценности; 2) ценности профессионального владения педагогическим общением; 3) ценности, составляющие педагогическую культуру;
* обоснована и экспериментально проверена профессионально ориентированная совокупность ценностей педагогического общения (эмпатия, конгруэнтность, рефлексия, толерантность, активный подход, доброжелательность, эмоциональная стабильность), являющаяся составной частью системы профессионально значимых гуманистических ценностей современного образования;
* предложена концепция развития языковой личности будущего педагога начального образования, основывающаяся на использовании трех: ступеней развития языковой личности: языкового чутья; языкового образования; языкового сознания и самосознания -находящих свое воплощение в реализации ресурсов авторской модели совершенствования речевой подготовки будущих учителей;
* разработана и обоснована концептуальная модель языковой личности учителя, работающего в парадигме современного образования;
* показаны особенности развития профессионального самосознания учителя начальных классов
* определены (с использованием эмпирических данных, полученных на репрезентативной выборке) особенности речевого взаимодействия учителей начальных классов;
* выявлена специфика коммуникативного поведения педагога (паралингвистических средств общения: имплицитной коммуникации и невербальных сигналов);
В научно-методическом плане новизну составляют:
• обоснование исходных принципов и построение общей модели организации и проведения педагогического эксперимента, связанного с проверкой эффективности экспериментальной системы гармонизации речевого поведения будущих педагогов;
• выявление структурно-содержательных этапов развития языковой личности будущего педагога, определяющих основу гуманистической ценностной диспозиции личности.
• комплекс созданных или модифицированных научно-практических и диагностических методов оценки уровней сформированности компонентов языковой личности.
Указанные результаты позволяют констатировать, что @@color:red; в сфере образования кроме проверенных временем, универсальных, выделены и ценности общения. @@ Ибо то, как учитель разговаривает с учениками, различными по способностям, привычкам, убеждениям, умственному развитию, полу, возрасту; его умение устанавливать контакт с ними, слушать и слышать, спрашивать и отвечать — действия учителя на его пути к созиданию не только себя и своей судьбы, но и его учеников, коллег, основа его взаимодействия с себе подобными. Коммуникативный потенциал педагога, его. коммуникативное поведение, коммуникативная компетентность, культура речи - развитость языковой личности учителя становятся гуманистическими ценностями. Наряду с такими качествами личности, как конгруэнтность, эмпатия, толерантность, рефлексия они входят в структуру гуманистической ценностной диспозиции личности, что предполагает ее осознанную готовность воспринимать человека как высшую ценность, тем самым определяя поведение и направленность поступков личности. Такие выводы соотносятся с мнениями С.Л. Братченко, С.Б.Борисенко, А.А.Брудного, Р.А.Максимовой, Г.И.Михалевской, В.В.Рыжова, В.В.Соколовой, Г.С. Трофимовой,
И.М.Юсупова, В.А.Якунина и других. Известно, что оценка преподавателями учащихся и учащимися преподавателей чаще всего осуществляется на основании уровня взаимопонимания и гармоничного речевого поведения, возможных между ними при общении. Во многих научных лингвистических, педагогических источниках последних лет (А.К.Михальская, А.А.Мурашов, Т.Л.Служевская, Н.И.Формановская, J.L.Austin, D.W.Ball, G.Brown , J.Gumperz, G.Jule, D.Hames, M.Savill-Troik, J.D.Searl, .М.Stubbs, W.J.Thomas и др.) внимание концентрируется на поиске ответа на вопрос «как человек использует язык в качестве орудия общения,...как в языковых единицах отразился сам человек во всем многообразии его проявлений» (Н.И.Формановская, 1998). В этих работах речевое общение оценивается как эффективное на основе возникающего у его участников в процессе общеш1я чувства гармонии мира и своей гармонии с миром, появляющегося в результате общего ритма, общих хронографических параметров дискурса, единства коммуникативной стратегии и тактики, культуроспецифических и определенных общим культурным контекстом особенностей использования средств непрямого информирования. Результатом такого общения является радость, при этом происходит процесс отождествления говорящего и адресата или аудитории, когда субъект-объектная .модель общения сменяется субъект-субъектной моделью.
Однако данная теория, базирующаяся на теории информации, рассматривает отдельно друг от друга вербальные, акустические, кинетические средства «связи». Нам же представляется правильным и важным подразумевать искусство владения речью в гармоническом единстве всех средств общения, как вербальных, так и паралингвистических (фонационных, кинетических - имплицитных и невербальных) и экстралингвистических факторов общения. @@color:red; В связи с изложенным представляется необходимым не только определить возможности и пути развития речевого поведения учителя, «грамматику речевого поведения педагога», но и построить модель языковой личности педагога. Этому и посвящена пятая глава реферируемой работы «Языковая личность учителя начальных классов». @@
Здесь предпринят системный анализ особенностей, связанных с понятием «языковая личность»: раскрываются понятия речевой ситуации и речевого события, определяются основные функции языковой личности, перечень ее способностей и свойств, выделены коды, стереотипы, ролевые признаки, виды речевого поведения, определены основные речевые стратегии, тактики и индивидуальные стили поведения языковой личности, описаны особенности этикета речевого общения, что позволило предложить модель языковой личности педагога в контексте гуманистической парадигмы образования (рис. 1).
<center> ''ОБЩАЯ ХАРАКТЕРИСТИКА РАБОТЫ'' </center>
Смена . приоритетов в социальном развитии неизбежно влечет изменения в социальных структурах, в том числе и в образовании. Идея гуманизации образования, получившая широкое распространение в мировом сообшестве, является не просто отображением ведущей тенденции изменяющегося мира, но и одной из внутренних предпосылок становления новой школы, которая может реально развиваться лишь при условии воспитания у субъектов образовательной деятельности гуманистических ценностей. Сегодня, когда образовательная парадигма меняется от традиционной к гуманистической, когда начинают реально воплощаться идеи гуманизации образования, особое значение приобретает личность учителя.
Проблема гуманистического подхода вписывается в круг научных интересов многих исследователей: выбираются основные аспекты изучения его сущности и содержания (И.Ю.Алексашина, В.П. Бездухов, С.Г.Вершловский, Г.А.Виноградова, В.Г.Воронцова, О.С.Газман, И.А.Колесникова, Ю.Н.Кулюткин, Г.И.Михалевская, М.А.Нагорнов, О.В.Прав-дина, Ю.В.Сенько, Г.С.Сухобская, Г.С.Трофимова, Н.И.Элиасберг и др.). Идеи современных новых концепций воспитания, новых подходов в теории и методике воспитательной работы, а также управления воспитательными системами раскрыты в работах Б.П.Битинаса, А.А.Бодалева, Е.В.Бондаревской, Н.В.Бордовской, З.И.Васильевой, В.И.Гинецинского, Н.Ф.Головановой, В.И.Додонова, В.Б.Ежеленко, И.А.Зимней, С.Н.Иконниковой, И.М.Ильинского, В.Т.Кабуша, В.А.Кара-ковского, Ю.А.Копьшова, В.Ю.Кричевского, Н.Б.Крыловой, В.Т.Лисовского, Л.И.Новикивой, В.А.Петровского, Н.Л.Селивановой, В.В.Серикова, Н.Е.Щурковой,. В.А.Якунина и других. В контексте парадигмального подхода к образованшо называются типологии Ш.А.Амонашвили, М.В.Богуславского, А.П.Валицкой, Г.Б.Корнетова, И.Б.Котовой и Е.Н.Шиянова, В.Я.Пилиповского, А.А.Пинского, Н.С.Розова, Х.Г.Тхагапсоева, Е.А.Ямбурга и др.
Анализ сущности гуманизации образования, средств и способов данного процесса в педагогической действительности позволяет сказать о том, что идея гуманизации образования находит отражение в двух направлениях: гуманизации содержания образования и гуманизации педагогической деятельности. Средством сопряжения этих направлений является освоение гуманистических ценностей будущими педагогами, их развитие.
Специфика педагогической деятельности состоит в том, что результат ее всегда есть следствие совместной деятельности педагога и воспитанника. Главное, что должно быть присуще подобному общению, - это субъект-субъектная основа, на которой оно протекает. При соблюдении такой
<center> [img[ggva_r1.png]] </center>
<center> Рис.1. Модель языковой личности педагога в контексте гуманистической парадигмы образования </center>
!!!nf,kbwf
| | |Личная культура педагога |
| |>|Ценности, составляющие педагогическую культуру |
|>|>|Гуманистические ценности профессионального владения педагогическим общением |
|>|>| Языковая личность педагога |
|>|>| Коммуникативный потенциал личности (общительность) |
|>|>| Коммуникативная компетентность |
| Y | Y | Y |
| Профессиональня культура речи учителя | Коммуникативиая культура | Коммуникативное поведение |
|• владение фундаментальными знаниями конкретной научной области |* культура речи |• паралингвистические средства (имплицитные и невербальные) |
|• умение строить монологическую научную речь |• культура мышления |~|
|• умение организовывать профессиональный диалог и управлять им |• эмоциональная культура |• экстралингвистические факторы|
| ^ | ^ | ^ |
|>|>| Универсальные, базовые гуманистические ценности |
Данная концепция языковой личности педагога коррелирует с представлениями о трех типах коммуникативных потребностей - контактоустанавливающей, информационной и воздействующей, о трех сторонах процесса общения - коммуникативной, интерактивной и перцептивной. Она позволяет профессионально подготовленному в речевом отношении педагогу соблюдать принцип «коммуникативного сотрудничества». Таким образом, предлагаемая модель может трактоваться как инструмент описания и анализа речевого поведения учителя.
позиции устанавливается не межролевой, а межличностный контакт, в результате которого возникает диалог. Так гармоничное речевое поведение учителя становится гуманистической педагогической ценностью.
На рубеже тысячелетий новая научная парадигма, опирающаяся на идею антропоцентричности, начинает складываться и в языкознании. Формирование антропоцентрической парадигмы привело к переориентации лингвистики на человека и его место в культуре, на личность носителя языка. Процессом реализации языка является речь. Современная наука накопила значительный объем знаний в области теории и практики речи, речевой деятельности, ее физиологических и психологических механизмов, внутренней речи, восприятия речи слушающими, читающими. В связи с необходимостью изучать процессы речеобразования, восприятия и формирования речи, их соотнесенности с системой языка, решать проблемы речевого воздействия возникают такие науки, как культура речи, психолингвистика, социопсихолингвистика, прагматика, семиотика, социолингвистика. В последние годы в зарубежной лингвистике бурно развиваются направления, связанные с изучением речевого поведения человека с помощью анализа процесса реального речевого общения - лингвоэтология (неолингвистика).
В приложении к современной образовательной действительности появляются такие области науки, как педагогическая лингвистика (лингвистика образования), «грамматика педагогического речевого поведения» (педагогическая лингвоэтология), педагогическая риторика. Развитие указанных проблем в науке связано с именами М.М.Бахтина, Ю.А.Бельчикова, Г.И.Богина, Л.А.Введенской, В.В.Виноградова; Е.М.Верещагина, Г.О.Винокура, Л.СВыготского, Б.Н.Головина, И.Н.Горелова, Л.К.Граудиной, Т.М.Дридзе, Н.И.Жинкина, И.А.Зимней, Ю.Н.Караулова, В.Г.Костомарова, А.А.Леонтьева, А.Р.Лурия, М.Р.Львова, А.К.Михальской, А.А.Мурашова, С.И.Ожегова, А.А.Потебни, К.Ф.Седова, О.Б.Сиротининой, Л.И.Скворцова, Ю.С.Степанова, Н.И.Формановской, Е.Н.Ширяева, Л.В.Щербы, Дж.Гамперца, Х.Грайса, А.Меграбяна, Х.Остера, Дж.Остина, Б.Рассела, М.Севилль-Труак, Дж.Сирла, М.Стаббса, Дж.Ферта, Д.Хаймса, Р.Экмана и других.
Коммуникативный аспект рассмотрения речи позволяет сконцентрировать внимание на закономерностях употребления языка в речи и на социально-психологических условиях осуществления языковой деятельности. Попытки выделить отличительные особенности речевого поведения и речевой деятельности привели к возникновению в науке нового объекта изучения - языковой личности. С позиций антропоцентрической парадигмы, человек познает мир через осознания себя, своей теоретической и предметной деятельности в нем, определяя иерархию ценностей.
которая проявляется в речи человека. В связи с этим объектом изучения становится личность носителя языка - языковая личность.
@@color:red; В логике антропоцентрической парадигмы языковая личность представлена несколькими составляющими: Я-физическое, Я-социальное, Я-интеллектуальное, Я-эмоцинальное, Я-речемыслительное. @@ Воздействуя на любую ипостась личности, можно воздействовать на все остальные стороны личности адресата. Языковая личность вступает в коммуникацию как многоаспектная, и это соотносится со стратегиями и тактиками речевого общения, с социальными и психологическими ролями коммуникантов, культурным смыслом информации, включенной в коммуникацию. Обозначая развитие языковой, личности педагога как педагогическую проблему, мы имеем в виду субъекта образовательной деятельности, обладающего совокупностью способностей и свойств, позволяющих ему осуществлять сугубо человеческую деятельность - говорить, общаться, создавать устные и письменные речевые произведения, отвечающие цели и условиям коммуникации, извлекать информацию из текстов, воспринимать речь; учителя говорящего, красноречивого (Homo eloguens), общающегося (Homo communicans). Значит, «учитель говорящий», языковая личность учителя предстает в виде многогранного, многопланового объекта исследования, неповторимость которого определяется уровнем его развития, уникальной взаимообусловленностью гуманистической личностной диспозиции и комбинацией языковых проявлений.
''Цель исследования'' - разработка и обоснование концепции развития гуманистических ценностей языковой личности будущих учителей.
''Объект исследования'' - процесс подготовки будущих учителей к профессионально-педагогической деятельности.
''Предмет исследования'' - процесс развития языковой личности учителя начальных классов как носителя гуманистических ценностей.
''Основной явилась гипотеза'' о зависимости между уровнем развития языковой личности и гуманистических ценностей будущих педагогов. В соответствии с основной гипотезой были сформулированы ''частные гипотезы'':
• существует связь между всеми компонентами системы гуманистических ценностей современной парадигмы образования;
• развитие системы гуманистических ценностей будущих учителей определит их гуманное поведение и направленность поступков;
• оптимизация присвоения гуманистических ценностей студентами в свою очередь приведет к развитию как гуманитарного качества, так и уровня освоения педагогической культуры будущих учителей.
• предполагается сложная зависимость между уровнем развитости языковой личности будущих учителей и их профессиональной успешностью;
• уровень развития языковой личности студентов зависит от степени сформированности языковой личности обучающих их педагогов;
• внедрение педагогической технологии обучения гармоничному речевому поведению будущих учителей приведет к повышению их коммуникативного потенциала, коммуникативного поведения, коммуникативной компетентности, культуры речи - развитости языковой личности будущего учителя.
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
Годунова С.Ю. (С.Ю.Годунова)
Годунова С.Ю. Педагогические условия развития языковой личности студента технического вуза
*[ext[ссылка|https://new-disser.ru/_avtoreferats/01003421681.pdf]]
*[ext[ссылка|https://static.freereferats.ru/_avtoreferats/01003421681.pdf]]
[[gsyu_ar 1]]**[[gsyu_ar ps]]
---
{{gsyu_ar_s3_1}}*[[gsyu_ar_s3_1]]
{{gsyu_ar_s3_2}}*[[gsyu_ar_s3_2]]
{{gsyu_ar_s4_1}}*[[gsyu_ar_s4_1]]
{{gsyu_ar_s4_2}}*[[gsyu_ar_s4_2]]
{{gsyu_ar_s4_3}}*[[gsyu_ar_s4_3]]
{{gsyu_ar_s4_4}}*[[gsyu_ar_s4_4]]
стр 4
{{gsyu_ar_s5_1}}*[[gsyu_ar_s5_1]]
{{gsyu_ar_s5_2}}*[[gsyu_ar_s5_2]]
{{gsyu_ar_s5_3}}*[[gsyu_ar_s5_3]]
{{gsyu_ar_s5_4}}*[[gsyu_ar_s5_4]]
{{gsyu_ar_s5_5}}*[[gsyu_ar_s5_5]]
{{gsyu_ar_s5_6}}*[[gsyu_ar_s5_6]]
{ {gsyu_ar_s5}*[[gsyu_ar_s5]]
стр. 5
{{gsyu_ar_s9_1_0}}*[[gsyu_ar_s9_1_0]]
{{gsyu_ar_s9_1_1}}*[[gsyu_ar_s9_1_1]]
{{gsyu_ar_s9_1_2}}*[[gsyu_ar_s9_1_2]]
{{gsyu_ar_s9_1_3}}*[[gsyu_ar_s9_1_3]]
стр. 9
{{gsyu_ar_s10_3}}*[[gsyu_ar_s10_3]]
{{gsyu_ar_s10_4}}*[[gsyu_ar_s10_4]]
{{gsyu_ar_s10_5}}*[[gsyu_ar_s10_5]]
стр. 10
{{gsyu_ar_s11_1}}*[[gsyu_ar_s11_1]]
{{gsyu_ar_s11_2}}*[[gsyu_ar_s11_2]]
{{gsyu_ar_s11_3}}*[[gsyu_ar_s11_3]]
стр. 11
{{gsyu_ar_s12_1}}*[[gsyu_ar_s12_1]]
{{gsyu_ar_s12_2}}*[[gsyu_ar_s12_2]]
{{gsyu_ar_s12_3}}*[[gsyu_ar_s12_3]]
{{gsyu_ar_s12_4}}*[[gsyu_ar_s12_4]]
{{gsyu_ar_s12_5}}*[[gsyu_ar_s12_5]]
{{gsyu_ar_s12_6}}*[[gsyu_ar_s12_6]]
стр. 12
{{gsyu_ar_s13_1}}*[[gsyu_ar_s13_1]]
{{gsyu_ar_s13_2}}*[[gsyu_ar_s13_2]]
{{gsyu_ar_s13_3}}*[[gsyu_ar_s13_3]]
{{gsyu_ar_s13_4}}*[[gsyu_ar_s13_4]]
{{gsyu_ar_s13_5}}*[[gsyu_ar_s13_5]]
стр. 13
{{gsyu_ar_s14_1}}*[[gsyu_ar_s14_1]]
{{gsyu_ar_s14_2}}*[[gsyu_ar_s14_2]]
{{gsyu_ar_s14_3}}*[[gsyu_ar_s14_3]]
стр 14
{{gsyu_ar_s15_1}}*[[gsyu_ar_s15_1]]
{{gsyu_ar_s15_2}}*[[gsyu_ar_s15_2]]
{{gsyu_ar_s15_3}}*[[gsyu_ar_s15_3]]
стр 15
{{gsyu_ar_s16_1}}*[[gsyu_ar_s16_1]]
{{gsyu_ar_s16_2}}*[[gsyu_ar_s16_2]]
{{gsyu_ar_s16_3}}*[[gsyu_ar_s16_3]]
стр 16
{{gsyu_ar_s17_1}}*[[gsyu_ar_s17_1]]
{{gsyu_ar_s17_2}}*[[gsyu_ar_s17_2]]
{{gsyu_ar_s17_3}}*[[gsyu_ar_s17_3]]
{{gsyu_ar_s17_4}}*[[gsyu_ar_s17_4]]
стр 17
{{gsyu_ar_s18}}*[[gsyu_ar_s18]]
стр. 18
{{gsyu_ar_s19_1}}*[[gsyu_ar_s19_1]]
{{gsyu_ar_s19_2}}*[[gsyu_ar_s19_2]]
{{gsyu_ar_s19_3}}*[[gsyu_ar_s19_3]]
{{gsyu_ar_s19_4}}*[[gsyu_ar_s19_4]]
стр 19
{{gsyu_ar_s20_1}}*[[gsyu_ar_s20_1]]
{{gsyu_ar_s20_2}}*[[gsyu_ar_s20_2]]
стр 20
{{gsyu_ar_s21_1}}*[[gsyu_ar_s21_1]]
{{gsyu_ar_s21_2}}*[[gsyu_ar_s21_2]]
{{gsyu_ar_s21_3}}*[[gsyu_ar_s21_3]]
стр 21
{{gsyu_ar_s22_1}}*[[gsyu_ar_s22_1]]
{{gsyu_ar_s22_2}}*[[gsyu_ar_s22_2]]
[img[годунова2.png]]
{{gsyu_ar_s22_3}}*[[gsyu_ar_s22_3]]
стр 22
{{gsyu_ar_s23_1}}*[[gsyu_ar_s23_1]]
{{gsyu_ar_s23_2}}*[[gsyu_ar_s23_2]]
{{gsyu_ar_s23_3}}*[[gsyu_ar_s23_3]]
{{gsyu_ar_s23_4}}*[[gsyu_ar_s23_4]]
{{gsyu_ar_s23_5}}*[[gsyu_ar_s23_5]]
{{gsyu_ar_s23_6}}*[[gsyu_ar_s23_6]]
стр 23
{{gsyu_ar_s24_1}}*[[gsyu_ar_s24_1]]
{{gsyu_ar_s24_2}}*[[gsyu_ar_s24_2]]
{{gsyu_ar_s24_3}}*[[gsyu_ar_s24_3]]
стр 24
{{gsyu_ar_s25}}*[[gsyu_ar_s25]]
стр 25
[[Годунова]] С.Ю. [[Педагогические условия развития языковой личности студента технического вуза]]
*[ext[ссылка|https://new-disser.ru/_avtoreferats/01003421681.pdf]]**[ext[ссылка|https://static.freereferats.ru/_avtoreferats/01003421681.pdf]]
*[[gsyu_ar]]**[[gsyu_ar ps]]
---
!!''Педагогические условия развития языковой личности студента технического вуза''
* Выявленные противоречия обусловили выбор темы исследования, проблема которого сформулирована следующим образом каковы @@color:red; педагогические условия развития языковой личности студентов технического вуза @@
* Решение данной проблемы составляет цель исследования.
* Объект исследования — процесс формирования языковой личности студента технического вуза
* Предмет исследования педагогические условия развития языковой личности студента технического вуза
PrimYu { {gsyu_ar_s5_3}}* { {gsyu_ar_s5_4}}*{ {gsyu_ar_s5_5}}* { {gsyu_ar_s5_6}}
---
*[[На защиту|gsyu_ar_nzv]]
*[[Научная новизна|gsyu_ar_nn]]
*[[Материал для размышлений|gsyu_ar_mdr]]
---
*[[научная новизна |gsyu_ar 1 nn]]
*[[на защиту выносятся|gsyu_ar 1 nzv]]
*[[гипотеза |gsyu_ar 1 gipoteza]]
*[[задачи |gsyu_ar 1 zadachi]]
*[[теоретическая значимость|gsyu_ar 1 tzi]]
*[[практическая значимость|gsyu_ar 1 pzi]]
*[[материал для размышления|gsyu_ar_mdr]]
''Гипотеза исследования'' основана на предположении о том, что одним из основных педагогических условий развития языковой личности студентов технического вуза выступает профессионально-ориентированная краеведческая направленность иноязычного образовании, которая обеспечивает
- формирование структуры мотивов и иерархии ценностных смыслов языковой личности студентов, релевантных осуществлению будущей профессиональной деятельности, а именно мотивационно-ценностного отношения к будущей профессиональной деятельности и к пространству, в котором происходит процесс социализации и профессионального самоопределения данной личности,
- организацию познавательной деятельности студентов на основе изучения и исследования истории и современного состояния материальной культуры своего края с целью формирования прочных профессиональных знаний, имеющих языковую основу,
- развитие языковой компетенции и коммуникативных навыков языковой личности студента, способствующих ее успешному функционированию в рамках диалога культур;
стр. 6
- осознание студентами себя в качестве культурно-исторических субъектов родного края и одновременно поликультурных субъектов в спектре различных культур (через соизучение языков и культур)
стр. 7
{{gsyu_ar_s9_1_0}}
{{gsyu_ar_s9_1_1}}
{{gsyu_ar_s9_1_2}}
{{gsyu_ar_s9_1_3}}
{{gsyu_ar_s10_3}}
{{gsyu_ar_s10_4}}
{{gsyu_ar_s10_5}}
{{gsyu_ar_s11_1}}
{{gsyu_ar_s11_2}}
{{gsyu_ar_s11_3}}{{gsyu_ar_s12_1}}
''Практическая значимость исследования''. Разработанные в исследовании теоретические положения и выводы могут быть применимы при разработке учебных планов, учебных курсов, содержания рабочих программ обучения иностранному языку в технических вузах. Материалы исследования, методические рекомендации по использованию комплекса апробированных образовательных технологий для развития языковой личности, спецкурс обучения иностранному языку, основанный на профессионально-ориентированном краеведческом материале, авторские экспериментальные программы, а также теоретические задания, тесты практические упражнения, игровые и профессионально-ориентированные ситуации, могут быть востребованы преподавателями, работающими в системе высшего технического образования, переподготовки и повышении квалификации работников высшего и среднего специального образования.
стр 10_1
''Теоретическая значимость'' исследования заключается
- в разработке модели развития языковой личности студента технического вуза, которая представлена как система компонентов, раскрывающих цели, принципы осуществления, функции и условия включения профессиональноориентированного краеведческого материала в содержание иноязычного образования,
- в создании алгоритма мониторинга развития языковой личности в системе профессиональной подготовки студентов технического вуза, основанного на оценке умения будущего специалиста выбирать варианты кросскультурного поведения с зарубежными партнерами, на знании профессионально-ориентированной лексики и материальной культуры края, особенностей промышленности, отношения к технологическим достижениям своего края и умении оценивать себя как представителя профессиональной и родной культуры
стр 9_2
В соответствии с проблемой, объектом, предметом и целью были поставлены следующие ''задачи'':
- выявить сущность, структуру, содержание языковой личности студентов, критерии и уровни ее сформированности,
- определить особенности и основные подходы к развитию языковой личности студента в техническом вузе;
- исследовать состояние проблемы развития языковой личности студентов в практике подготовки специалистов в техническом вузе,
- осуществить моделирование процесса развития языковой личности студентов в процессе иноязычного образования в техническом вузе,
- разработать и апробировать педагогические условия развития языковой личности студентов в условиях технического вуза, определить их эффективность
стр. 6_1
[[стр. 5|gsyu_ar_s5]]
стр. 5
[[стр. 13|gsyu_ar_s13]]
стр. 13
Работы других исследователей посвящены изучению педагогических основ воспитания языковой личности в процессе преподавания лингвистических и речеведческих дисциплин (. Г.И. [[]][[Быкова]], Г А [[Иванова|Иванова Г.А.]], Н Е [[Лысенко]]) *[[gsyu_ar_s4_2]]
Одним из эффективных средств дальнейшего развития языковой личности в процессе получения высшего образования является профессионально-ориентированное краеведение *[[gsyu_ar_s4_3]]
@@color:red; '' Между тем современное состояние иноязычного образования в высшей технической школе является недостаточно эффективным '' не существует единой разработанной системы обучения иностранному языку, отсутствуют учебные пособия и методические рекомендации, раскрывающие особенности развития языковой личности в процессе профессионально-ориентированного краеведения @@,
[[gsyu_ar_s4_4]]
{{gsyu_ar_s12_2}}*[[gsyu_ar_s12_2]]
{{gsyu_ar_s12_3}}*[[gsyu_ar_s12_3]]
{{gsyu_ar_s12_4}}*[[gsyu_ar_s12_4]]
{{gsyu_ar_s12_5}}*[[gsyu_ar_s12_5]]
{{gsyu_ar_s12_6}}*[[gsyu_ar_s12_6]]
стр. 12
{{gsyu_ar_s13_1}}*[[gsyu_ar_s13_1]]
{{gsyu_ar_s13_2}}*[[gsyu_ar_s13_2]]
{{gsyu_ar_s13_3}}*[[gsyu_ar_s13_3]]
{{gsyu_ar_s13_4}}*[[gsyu_ar_s13_4]]
{{gsyu_ar_s13_5}}*[[gsyu_ar_s13_5]]
{ {gsyu_ar_s13}}*[[gsyu_ar_s13]]
стр. 13
{{gsyu_ar_s14_1}}*[[gsyu_ar_s14_1]]
{{gsyu_ar_s14_2}}*[[gsyu_ar_s14_2]]
{{gsyu_ar_s14_3}}*[[gsyu_ar_s14_3]]
стр 14
{{gsyu_ar_s15_1}}*[[gsyu_ar_s15_1]]
{{gsyu_ar_s15_2}}*[[gsyu_ar_s15_2]]
{ {gsyu_ar_s15_3}}*[[gsyu_ar_s15_3]]
стр 15
{ {gsyu_ar_s16_1}}*[[gsyu_ar_s16_1]]
{ {gsyu_ar_s16_2}}*[[gsyu_ar_s16_2]]
стр 16
{ {gsyu_ar_s17_4}}*[[gsyu_ar_s17_4]]
стр 17
{ {gsyu_ar_s18}}*[[gsyu_ar_s18]]
стр. 18
{ {gsyu_ar_s19_1}}*[[gsyu_ar_s19_1]]
{ {gsyu_ar_s19_2}}*[[gsyu_ar_s19_2]]
{ {gsyu_ar_s19_3}}*[[gsyu_ar_s19_3]]
{ {gsyu_ar_s19_4}}*[[gsyu_ar_s19_4]]
стр 19
{ {gsyu_ar_s20_1}}*[[gsyu_ar_s20_1]]
{ {gsyu_ar_s20_2}}*[[gsyu_ar_s20_2]]
стр 20
{ {gsyu_ar_s21_1}}*[[gsyu_ar_s21_1]]
{ {gsyu_ar_s21_2}}*[[gsyu_ar_s21_2]]
{ {gsyu_ar_s21_3}}*[[gsyu_ar_s21_3]]
стр 21
{ {gsyu_ar_s22_1}}*[[gsyu_ar_s22_1]]
{ {gsyu_ar_s22_2}}*[[gsyu_ar_s22_2]]
[img[годунова2.png]]
{ {gsyu_ar_s22_3}}*[[gsyu_ar_s22_3]]
стр 22
{ {gsyu_ar_s23_1}}*[[gsyu_ar_s23_1]]
{ {gsyu_ar_s23_2}}*[[gsyu_ar_s23_2]]
{ {gsyu_ar_s23_3}}*[[gsyu_ar_s23_3]]
{ {gsyu_ar_s23_4}}*[[gsyu_ar_s23_4]]
{ {gsyu_ar_s23_5}}*[[gsyu_ar_s23_5]]
{ {gsyu_ar_s23_6}}*[[gsyu_ar_s23_6]]
стр 23
```
{{gsyu_ar_s24_1}}*[[gsyu_ar_s24_1]]
{{gsyu_ar_s24_2}}*[[gsyu_ar_s24_2]]
```
стр 24
[[Годунова]] Педагогические условия развития языковой личности студента технического вуза
*[ext[ссылка|https://new-disser.ru/_avtoreferats/01003421681.pdf]]
*[ext[ссылка|https://static.freereferats.ru/_avtoreferats/01003421681.pdf]]
[[gsyu_ar]]
--
{ {gsyu_ar_s3_1}}*[[gsyu_ar_s3_1]]
{ {gsyu_ar_s3_2}}*[[gsyu_ar_s3_2]]
{ {gsyu_ar_s4_1}}*[[gsyu_ar_s4_1]]
{ {gsyu_ar_s4_2}}*[[gsyu_ar_s4_2]]
{ {gsyu_ar_s4_3}}*[[gsyu_ar_s4_3]]
{ {gsyu_ar_s4_4}}*[[gsyu_ar_s4_4]]
стр 4
{ {gsyu_ar_s10_3}}*[[gsyu_ar_s10_3]]
{ {gsyu_ar_s10_4}}*[[gsyu_ar_s10_4]]
{ {gsyu_ar_s10_5}}*[[gsyu_ar_s10_5]]
{ {gsyu_ar_s11_1}}*[[gsyu_ar_s11_1]]
{ {gsyu_ar_s11_2}}*[[gsyu_ar_s11_2]]
{ {gsyu_ar_s11_3}}*[[gsyu_ar_s11_3]]
стр. 12
{ {gsyu_ar_s12_1}}*[[gsyu_ar_s12_1]]
стр. 12
{ {gsyu_ar_s13_1}}*[[gsyu_ar_s13_1]]
{ {gsyu_ar_s13_2}}*[[gsyu_ar_s13_2]]
{ {gsyu_ar_s13_3}}*[[gsyu_ar_s13_3]]
{ {gsyu_ar_s13_4}}*[[gsyu_ar_s13_4]]
{ {gsyu_ar_s13_5}}*[[gsyu_ar_s13_5]]
{ {gsyu_ar_s13}}*[[gsyu_ar_s13]]
стр. 13
{ {gsyu_ar_s14_1}}*[[gsyu_ar_s14_1]]
{ {gsyu_ar_s14_2}}*[[gsyu_ar_s14_2]]
{ {gsyu_ar_s14_3}}*[[gsyu_ar_s14_3]]
стр 14
{ {gsyu_ar_s15_1}}*[[gsyu_ar_s15_1]]
{ {gsyu_ar_s15_2}}*[[gsyu_ar_s15_2]]
{ {gsyu_ar_s15_3}}*[[gsyu_ar_s15_3]]
стр 15
{ {gsyu_ar_s16_1}}*[[gsyu_ar_s16_1]]
{ {gsyu_ar_s16_2}}*[[gsyu_ar_s16_2]]
стр 16
{ {gsyu_ar_s17_4}}*[[gsyu_ar_s17_4]]
стр 17
{ {gsyu_ar_s18}}*[[gsyu_ar_s18]]
стр. 18
{ {gsyu_ar_s19_1}}*[[gsyu_ar_s19_1]]
{ {gsyu_ar_s19_2}}*[[gsyu_ar_s19_2]]
{ {gsyu_ar_s19_3}}*[[gsyu_ar_s19_3]]
{ {gsyu_ar_s19_4}}*[[gsyu_ar_s19_4]]
стр 19
{ {gsyu_ar_s20_1}}*[[gsyu_ar_s20_1]]
{ {gsyu_ar_s20_2}}*[[gsyu_ar_s20_2]]
стр 20
{ {gsyu_ar_s21_1}}*[[gsyu_ar_s21_1]]
{ {gsyu_ar_s21_2}}*[[gsyu_ar_s21_2]]
{ {gsyu_ar_s21_3}}*[[gsyu_ar_s21_3]]
стр 21
{ {gsyu_ar_s22_1}}*[[gsyu_ar_s22_1]]
{ {gsyu_ar_s22_2}}*[[gsyu_ar_s22_2]]
[img[годунова2.png]]
{ {gsyu_ar_s22_3}}*[[gsyu_ar_s22_3]]
стр 22
{ {gsyu_ar_s23_1}}*[[gsyu_ar_s23_1]]
{ {gsyu_ar_s23_2}}*[[gsyu_ar_s23_2]]
{ {gsyu_ar_s23_3}}*[[gsyu_ar_s23_3]]
{ {gsyu_ar_s23_4}}*[[gsyu_ar_s23_4]]
{ {gsyu_ar_s23_5}}*[[gsyu_ar_s23_5]]
{ {gsyu_ar_s23_6}}*[[gsyu_ar_s23_6]]
стр 23
```
{{gsyu_ar_s24_1}}*[[gsyu_ar_s24_1]]
{{gsyu_ar_s24_2}}*[[gsyu_ar_s24_2]]
```
стр 24
''Основные положения, выносимые на защиту''
1. Языковая личность представляет собой совокупность социально-психологических и педагогических свойств человека, определяющих ее способность к творческой текстовой деятельности и отображению специфической национально-языковой картины мира, конструктивное взаимодействие с окружающей средой, открытость для восприятия и адаптации в иной ментально-языковой среде с целью приобщения к иноязычной культуре и определения своего места в спектре различных культур.
2. В основу определения развитой языковой личности студента положены следующие критерии: наличие 2-х видов компетенции: языковой и коммуникативной; мотивационно-ценностное отношение к родному и ино-
странным языкам, к родной и иноязычным культурам, а также к будущей профессиональной деятельности и пространству, в котором происходит процесс социализации и профессионального самоопределения данной личности.
3. Модель процесса развития языковой личности студентов включает в себя четыре компонента: мотивационно-целевой компонент, обеспечивающий присвоение ценностей родной и иноязычной культуры, формирование активной гражданской позиции, определение языковой личностью своего места в мировой культуре; содержательный компонент, детерминирующий отбор профессионально-ориентированного краеведческого материала, способствующего контрастивно-сопоставительному изучению родной и иноязычной культур в контексте их взаимовлияния; процессуальный компонент, определяющий место профессионально-ориентированного краеведения в иноязычном образовании, его методы и приемы; рефлексивный, включающий @@color:red; осознание личностью себя в качестве культурно-исторического субъекта родного края и одновременно поликультурного субъекта через соизучение языков сравнение различных культур. @@
4. Основными педагогическими условиями развития языковой личности студента технического вуза являются: активизация ресурсных возможностей профессионально-ориентированного краеведения, выступающего в качестве содержательной основы иноязычного образования; организация познавательной деятельности студентов, изучение и исследование истории и современного состояния материальной культуры своего края с целью формирования прочных профессиональных знаний, имеющих языковую основу; формирование мотивационно–ценностного отношения студентов к будущей профессиональной деятельности и пространству, в котором происходит процесс социализации и профессионального самоопределения личности; развитие языковой компетенции и коммуникативных навыков языковой личности студента, способствующих ее успешному функционированию в рамках диалога культур; осознание студентами себя в качестве культурно-исторических субъектов родного края и одновременно поли-
культурных субъектов в спектре различных культур и на этой основе формирование мотивационно-ценностного отношения к родному и иностранному языкам, как эффективному средству дальнейшего личностно-языкового развития; использование в образовательном процессе проблемно-коммуникативных методов обучения, игровых технологий (ценностно-ориентированных и профессионально-ориентированных ролевых игр и дискуссий), предполагающих обращение к личности студента и направленных на реализацию ее языкового поведения.
''Апробация и внедрение'' результатов исследования осуществлялась посредством обсуждения на заседаниях кафедры гуманитарных наук Старооскольского технологического института, а также на заседаниях кафедры педагогики и психологии развития Курского государственного университета. Материалы исследования докладывались на международных, региональных научнопрактических конференциях (Москва, Пенза, Старый Оскол) и нашли отражение в статьях межвузовских сборников. @@color:red; Апробация результатов исследования и внедрения их в практику осуществлялась в процессе преподавания английского языка в студенческих группах дневного отделения Старооскольского технологического института. @@
''Структура и объем работы.'' Диссертация отражает логику, содержание и результат исследования и состоит из введения, двух глав, заключения, библиографического списка (230 наименований) и приложений.
<center> ''ОСНОВНОЕ СОДЕРЖАНИЕ РАБОТЫ'' </center>
''Во введении '' обосновывается актуальность избранной темы, определяются объект, предмет исследования, формулируются гипотеза, цель, задачи, указываются методы исследования, раскрываются научная новизна, теоретическая и практическая значимость работы, излагаются положения, выносимые на защиту.
''В первой'' главе диссертации ''«Теоретические основы исследования развития языковой личности студента технического вуза»'' представлен теоретический анализ философской, культурологической, психологической,
{{gsyu_ar_s13_1}}*[[gsyu_ar_s13_1]]
{{gsyu_ar_s13_2}}*[[gsyu_ar_s13_2]]
{{gsyu_ar_s13_3}}*[[gsyu_ar_s13_3]]
{{gsyu_ar_s13_4}}*[[gsyu_ar_s13_4]]
{{gsyu_ar_s13_5}}*[[gsyu_ar_s13_5]]
филологической, педагогической научной литературы с целью уточнения понятия «языковая личность» в аспекте профессионально-ориентированного краеведения.
Любая личность раскрывается как выраженная в языке, как языковая личность (homo loquens) Изучение языковой личности в культурологическом аспекте представлялось необходимым потому, что понятие «культура» рассматривается применительно к аспектам взаимодействия с языком и языковой личностью Культура как коррелят языка и личности имеет всепроникающий характер и понимается в ее исторической ценности как единство национального (специфического) и интернационального (общего).
Изучив основные культурологические концепции и определения личности, существующие в культурологи, мы пришли к заключению, что понятие «личность» является одним из существенных и иерархически главных в раскрытии важнейших проблем взаимосвязи национальной культуры и наионального языка, диалектики их развития.
Духовность как важнейшая доминанта личности является ее нравственно-этическим началом и теснейшим образом связана как с мировой, так и с национальной культурой, ее традициями. Кроме того, личность осознает себя и вместе с тем познается через ее инобытие, то есть связь с другими носителями духовной культуры и предметными областями национальной материальной культуры. Отсюда любой национальный тип - не только определенный культурно-психологический, социальный и языковой феномен, но и весь материально-культурный «контекст» в его лингвокультурологическом понимании.
С целью рассмотрения и обоснования проблемы языковой личности нами за основу были взяты следующие положения 1) общепсихологическая теория деятельности, или деятельностный подход к изучению личности как общий объяснительный принцип (А Г Асмолов, Л.С Выготский, В П Зинченко, А.Н Леонтьев, В Ф Ломов, А Р Лурия, С Л Рубинштейн), 2) психологическая теория речевой деятельности (А.А. Леонтьев, И. А. Зимняя, М. Н.
Кожин, В.Ф. Тарасов) Таким образом, общей методолого-теоретической основой данного исследования послужила психологическая теория деятельности В рамках деятельностного подхода языковая личность рассматривается как субъект речевой деятельности, конструктивного межличностного общения и совместной деятельности Основной смысл коммуникации, ее главная функциональная нагрузка, состоит в том, что она обеспечивает любую другую деятельность Общеизвестно, что речь как средство передачи смыслов, мыслей, чувств и переживаний субъекта коммуникации всегда ориентирована на слушателей Она рассчитана на активное понимание и призвана оказывать воздействие Представления людей о мире находят свое содержание в вербальных репрезентациях ощущений и опыта общающихся Языковая личность как субъект коммуникативного взаимодействия всегда решает проблему в большей или меньшей степени продуктивного, непротиворечивого сосуществования моделей картин мира. Именно целостный образ мира регулирует и направляет не только коммуникативную, но и всю человеческую деятельность.
В общем виде развитие языковой личности в рамках деятельностного подхода понимается нами как непрерывный процесс и закономерный результат вхождения человека в конкретную лингвокультурную общность, в результате чего языковая личность становится носителем следующих психологических характеристик во-первых, субъективного, индивидуального, уникального, изменяющегося в соответствии с новой речевой ситуацией умения использовать систему языка и адекватно воспринимать вербальную информацию, во-вторых, продуктивного соответствия между наличием и реализацией речевой интенции, в-третьих, обладания двумя видами компетентности (языковой и коммуникативной), что детерминирует готовность и способность языковой личности к интеллектуально плодотворному общению.
В рамках филологической науки проблема языковой личности была определена Ю Н Карауловым и Е.В. Красильниковой, которыми была описана структура языковой личности, содержащая в себе три уровня вербаль-
но-семантический, где отдельные слова, грамматические конструкции, семантические, синтаксические и ассоциативные связи, объединяются в единую вербальную сеть, тезаурусный - уровень обобщения понятий и концептов, которые иерархически выстраиваются в соответствии с внутренним миром личности, мотивационно-прагматический - уровень реализации коммуникативно-деятельностной потребности личности.
Функционирование языковой личности на последних двух уровнях характеризуется установлением иерархии смыслов и ценностей в языковой картине мира каждой отдельной личности и определением структуры мотивов и целей Анализируя изменения, происходящие на каждом из уровней, можно заключить, что изменение «набора языковых способностей», соответствующих разным уровням языковой личности, непосредственно связаны с социальными и психологическими изменениями, происходящими с самой личностью Таким образом, языковая личность соединяет в себе психологический, социальный, лингвистический, культурный, этнический и многие другие компоненты и, исходя из этого, должна восприниматься как единый конструкт.
В результате теоретического анализа нами было уточнено определение языковой личности, которая представляет собой совокупность социально-психологических и культурологических свойств человека, отображающая такие характеристики, как- способность к творческой текстовой деятельности и отображению специфической национально-языковой картины мира, конструктивное взаимодействие с окружающей средой, открытость для восприятия и адаптации в иной ментально-языковой среде с целью приобщения к иноязычной культуре и определения своего места в спектре различных культур. Рассматривая языковую личность в единстве познавательной и коммуникативной сфер деятельности, в исследовании выделены и обоснованы основные подходы к развитию языковой личности студентов в условиях технического вуза- лингвокультурологическии подход, подчеркивающий значение культурного компонента в содержании обучения, коммуникативно-
когнитивный подход, акцентирующий взаимосвязь когнитивных способностей человека и развития языка как средства коммуникации, деятельностный подход, определяющий организацию познавательной, коммуникативной и проектировочной деятельности обучающихся при обучении иностранному языку и приобретение личностно значимого опыта, создание личностного образовательного продукта, связанного с овладением и использованием предметного знания в ситуациях реальной продуктивной деятельности.
В решении данной проблемы, по нашему мнению, важное значение имеет профессионально-ориентированное краеведение, так как именно аксиологический аспект краеведения позволяет достичь те образовательно-воспитательные цели, которые способствуют формированию структуры мотивов и иерархии ценностных смыслов языковой личности ''будущих специалистов''. В этой связи в работе было уточнено определение профессионально-ориентированного краеведения, раскрыта его цель, содержание и структурные компоненты. Профессионально-ориентированное краеведение представляет собой интегративный процесс организации познавательной деятельности студентов, направленный на изучение и исследование материальной культуры своего края и его дальнейшее преобразование, имеющий своей целью формирование прочных профессиональных знаний и практических умений, расширение общей культуры личности за счет усвоения ею профессиональной культуры.
Целью профессионально-ориентированного краеведения является формирование у студентов системного представления о территории проживания как целостном регионе и одновременно как субъекте Российской Федерации и мирового (глобального) пространства, в котором локализуются и развиваются как общепланетарные, так и специфические региональные процессы и явления, а также развитие представлений о регионе как сложном, динамически развивающемся пространстве, в котором осуществляется жизненное и профессиональное самоопределение и дальнейшее развитие языковой личности, в котором взаимосвязи природных, экономических, социальных, демо-
графических, этнокультурных, геоэкологических явлений имеют большое практическое значение. В этой связи культурно-образовательная среда в вузе должна быть построена таким образом, чтобы побудить выпускника связать свою дальнейшую жизнь со своей Малой родиной, что крайне необходимо сегодня в сложившихся в регионах социально-экономических условиях. Содержание профессионально-ориентированного краеведения (ПОК) составляет общая материальная культура края в его историческом и современном развитии с ориентацией на будущую профессию.
Выявленная сущность языковой личности и основные подходы к ее развитию в условиях вуза позволили определить ее критерии языковая и коммуникативная компетенции, мотивационно-ценностное отношение к родному и иностранным языкам, к родной и иноязычной культурам, к будущей профессиональной деятельности и к пространству, в котором происходит профессиональное самоопределение данной личности.
Идея развития языковой личности студентов технического вуза средствами профессионально-ориентированного краеведения привела нас к попытке интеграции профессионально-ориентированного краеведения и иноязычного образования, а точнее, к наполнению содержания иноязычного образования профессиональноориентированным краеведческим материалом. На рисунке 1 представлена модель развития языковой личности студентов технического вуза в процессе иноязычного образования.
''Во второй главе'' ''«Опытно-экспериментальная работа по развитию языковой личности студента технического вуза»'' представлено описание этапов, содержания и методов опытно-экспериментальной работы по включению профессионально-ориентированного краеведения в педагогический процесс технического вуза с целю развития языковой личности студентов.
Целью констатирующего эксперимента явилось изучение мотивационно-ценностного отношения студентов к родному и иностранным языкам, родной и иноязычной культурам, к будущей профессиональной деятельности, к родному краю, а также фактического уровня владения иностранным языком В констатирующем эксперименте, осуществляемом на базе Старооскольского технологического института, приняло участие 106 студентов 2-го и 3-го курсов дневного отделения, получающих образование по специальностям прикладная математика, автоматизация технологических процессов и производств, обработка металлов давлением, металлургия черных металлов, металлургические машины и оборудование, теплофизика, автоматизация и экология промышленных печей, безопасность процессов и производств (в металлургии); стандартизация и сертификация производства.
Результаты констатирующего эксперимента обнаружили ряд проблем, связанных с недостаточной сформированностью мотивационно-ценностного отношения студентов к изучаемым категориям и с недостаточностью знаний и практических умений в области иностранного языка (незнание профессионально-ориентированной лексики, недостаточно сформированные навыки письменной и устной коммуникации, неумение логично и связно выражать свои мысли на иностранном языке). Большинство из них не осознают себя в качестве будущего специалиста, способного осуществлять свою профессиональную деятельность в пространстве диалога культур
Результаты языкового тестирования обнаружили низкий уровень владения иностранным языком у большинства студентов экспериментальной и контрольной групп (68% и 75%), средний - у 31% в экспериментальной группе и 19% в контрольной группе, высокий - только у б% в контрольной группе, в экспериментальной группе не было зафиксировано высокого уровня владения иностранным языком
Для эффективного решения обнаружившихся в ходе констатирующего эксперимента проблем и достижения общей цели исследования был проведен
формирующий эксперимент по трем этапам опытно-экспериментального обучения. Первый этап был направлен на восполнение недостающих языковых знаний, овладение иноязычной нормой, усвоение которой должно явиться основой для будущей профессиональной иноязычной деятельности (формирование навыков письменной и устной коммуникации), осознание студентами роли иностранного языка в личностном развитии и повышение интереса к его изучению, формирование ценностного отношения к национальной и иноязычной культуре, к диалогу культур Особое содержание предлагаемого учебного материала имело своей целью побудить студентов к овладению знаниями о культуре своего города (истории родного города, истории создания театра и музеев в городе и т д ), сформировать отношение к культуре своего края
Второй этап включал в себя проведение спецкурса, содержательной основой которого является профессионально-ориентированное краеведение Курс направлен на создание таких условий, при которых возможна наиболее полная реализация принципа соизучения языков и культур в профессиональном контексте Содержанием курса выступала история возникновения и развития трех крупнейших предприятий города Лебединского и Стойленского горно-обогатительных комбинатов и Оскольского электрометаллургического комбината, их современное состояние и значение в масштабах страны и мира Цели курса состояли в том, чтобы студенты овладели профессионально-ориентированной лексикой, ознакомились с общими схемами производства и технологическими процессами основных предприятий города, общими принципами работы зарубежных предприятий-партнеров и на этой основе сформировали отношение к родному краю и к его материальной культуре, к избранной профессии и понимании своей роли в дальнейшем преобразовании и развитии своего края Проводимый с экспериментальными группами спецкурс состоял из 3-х разделов Первый раздел посвящен обнаружению и начальным стадиям разработки залежей железной руды на территории Губкина и Старого Оскола; истории возникновения Лебединского и
Стойленского горно-обогатительных комбинатов и Оскольского электрометаллургического комбината, основным вехам развития производства до современного этапа Второй раздел включал в себя общий обзор производства ЛГОКа и СГОКа, основные стадии добычи руды, изучение основных производственных процессов Оскольского электрометаллургического комбината, изучение производственных схем и принципов работы отдельных цехов и участков трех предприятий Третий раздел был посвящен ознакомлению студентов с работой российских и зарубежных предприятий-партнеров, определению места и значения предприятий родного города в масштабах страны и мира.
Каждый раздел был представлен аудиторными занятиями, на которых на основе текстов и фильмов, содержащих информацию по темам, заявленным в каждом разделе, происходит презентация профессионально-ориентированной лексики, ее закрепление с помощью разнообразных лексических и лексико-грамматических упражнений и личностно значимых коммуникативных видов деятельности ценностно-ориентированных и профессионально-ориентированных ролевых игр и дискуссий, а также текущих или заключительных по каждой теме (разделу) письменных работ, внеаудиторной самостоятельной работой студентов по сбору информации, подготовке докладов и проектов, написанию отчетов и т д и направленной на развитие их творческих способностей; внеаудиторными практическими занятиями, направленными на практическое применение полученных знаний, и предполагающих выезд на производство, общение со специалистами, владеющими иностранным языком, встречи с иностранными коллегами
Третий этап был направлен на дальнейшее формирование и развитие профессиональных умений языковой личности и ее способностей взаимодействовать с окружающим миром в условиях иной ментально-языковой среды и обоснован необходимостью подготовки специалистов, способных непрерывно совершенствовать свою квалификацию, используя отечественные и мировые достижения в различных областях науки Основными задача-
ми этого этапа являются овладение умениями и навыками реферирования и аннотирования иноязычной литературы по своей специальности и ведения профессиональной переписки Содержание обучения на этом этапе включало в себя в основном аудиторную работу (чтение, перевод, реферирование и аннотирование иноязычных статей и текстов из научных и специальных журналов, сборников статей и книг по специальности, перевод спецификаций и руководств по использованию производственного оборудования (на материалах оборудования ОЭМК, ЛГОК, СГОК), написание деловых писем- письмо-запрос, письмо-заказ, претензия, отказ, письмо-жалоба, уточнение деталей отчет и т д), внеаудиторная самостоятельная работа касалась подготовки студентов к участию в студенческой научно-практической конференции «The КМА Region The Centre of the Russian Ferrous Metallurgy» («KMA - Центр Российской металлургии черных металлов»), участия студентов в конкурсе научного перевода.
По окончании формирующего эксперимента была осуществлена контрольная диагностика развития компонентов языковой личности студентов Результаты контрольного измерения позволили констатировать динамику роста уровней сформированности мотивационно-ценностного отношения студентов к избранной профессии, к родному краю, к иностранному языку, а также динамику роста уровня владения иностранным языком в экспериментальной группе после проведения формирующего эксперимента (таблица 1)
Таким образом, результаты, полученные в ходе проведения опытно-
экспериментальной работы, позволили получить информацию об изменениях в развитии языковой личности студентов технического вуза и подтвердили гипотезу о том, что профессионально-ориентированная краеведческая направленность иноязычного образования в техническом вузе является одним из основных педагогических условий, позволяющих эффективно влиять на развитие языковой личности студентов.
В заключении диссертации обобщаются результаты проведенного исследования.
Структура языковой личности студента технического вуза представляет собой интегративный комплекс мотивов и иерархии ценностных смыслов личности, релевантных осуществлению будущей профессиональной деятельности, языковой компетенции и коммуникативных навыков, определяющих универсальную реализацию речевого поведения языковой личности
В ходе исследования осуществлено моделирование процесса развития языковой личности студентов технического вуза, раскрыты содержание, цели, принципы осуществления, функции и педагогические условия его осуществления.
В работе выявлены проблемы развития языковой личности студентов технического вуза, недостаточная сформированностью мотивационно-ценностного отношения студентов к иностранному языку, низкий уровень знаний и практических умений в области иностранного языка (незнание профессионально-ориентированной лексики, недостаточно сформированные навыки письменной и устной коммуникации, неумение логично и связно выражать свои мысли на иностранном языке), отсутствие потребности в профессиональном саморазвитии в качестве будущего специалиста, способного осуществлять свою деятельность в пространстве диалога культур.
В диссертации определен и обоснован профессионально-ориентированный краеведческий подход к развитию языковой личности студента в техническом вузе, раскрывающий возможность реализации личностного и профессионального потенциала будущего специалиста
В процессе исследования разработаны и апробированы педагогические условия развития языковой личности студентов в условиях технического вуза активизация ресурсных возможностей профессионально-ориентированного краеведения, изучение и исследование истории и современного состояния материальной культуры своего края с целью формирования профессиональных знаний, имеющих языковую основу, осознание студентами себя в качестве культурно-исторических субъектов родного края и одновременно поликультурных субъектов в спектре различных культур, включение студентов в профессионально ориентированную коммуникативная деятельность и другие
Проделанная опытно-экспериментальная работа не исчерпывает всего многообразия проблем, связанных с развитием языковой личности студентов технического вуза За пределами данного исследования остались, например, вопросы поиска путей развития профессионально-педагогической культуры преподавателей технического вуза, способных положительно влиять на развитие языковой личности своих студентов, дальнейшего поиска активных форм и методов организации образовательного процесса с учетом профессионально-краеведческой направленности, имеющих своей целью дальнейшее эффективное развитие языковой личности студента
Основные положения диссертационного исследования отражены в следующих публикациях:
```
1. Годунова С Ю. Структура мотивов и ценностей овладения иностранным языком у студентов технического вуза // Вестник университета. Теоретический и научнометодический журнал Государственного университета управления. 2007 No6(32) С. 6668 (0,3 п л.)
2 Годунова С Ю Руководство процессом развития языковой личности студентов технического вуза среде гвами профессиональноориентированного краеведения /ЛВестник университета: Государственный университетуправления.2007No7(33) С.4851 (0,4пл).
3 Годунова С Ю Критерии языковой личности студента // Вопросы современной филологии и методики обучения языкам в вузе и школе сборник статей VIII Всероссийской научнопрактической конференции Пенза* РИО ПГСХА, 2006 С. 180183(0,2 п.л)
4 Годунова С Ю Некоторые психологические аспекты развития языковой личности Образование, наука, производство и управление Сборник
```
```
25 трудов международной научнопрактической конференции В 4х т Старый Оскол ООО«ТНТ»,2006Т4 536с С 4350 (0,5 пл)
5 Годунова С Ю Краеведческий подход в формировании гражданского самосознания личности студента средствами иностранного языка // Формирование личности современного специалиста как гражданина и профессионала Материалы межвузовской научнопрактической конференции 16 апреля 2007г М.. МОСУ, 2007 430с.С 2429 (0,4пл)
6 Культурологическая парадигма национальной языковой личности //Молодые ученые науке и производству Сб тр Регион науч.практ конф Ст Оскол1 СТИ МИСиС, 2007. Т 1 С 195201 (0,4 п л)
7 Основные подходы к развитию языковой личности в процессе иноязычного образования //Обществоведение в МИСиС Сб науч тр М ГТУ «Московский институт стали и сплавов», 2007 No 19. С. 8495 (0,7 п л.)
```
<center> ''ОБЩАЯ ХАРАКТЕРИСТИКА РАБОТЫ '' </center>
''Актуальность исследования.'' В последнее время культурные, научные и экономические контакты стран и их народов с неизбежностью выдвигают темы «язык и культура» и «языковая личность» в число важнейших языковедческих, социолингвистических, психолингвистических и педагогических проблем, что объясняется возросшим в настоящее время интересом к феномену культуры и проблемам языковой личности.
как формирование коммуникативной компетенции в результате педагогических воздействий и связывается с активностью субъекта в общении, с возможностями рефлексии речевых поступков, творческой самореализации в сложноорганизованном высказывании (М И Лисина, А В Брушлинский, Д Б Годовикова, Л.А Вяткина, Г.Ф Крылова, О С Ушакова, О М Дьяченко, О В Солнцева, А А Леонтьев, 3 В. Емельянова и др)
Работы других исследователей посвящены изучению педагогических основ воспитания языковой личности в процессе преподавания лингвистических и речеведческих дисциплин (. Г.И. [[]][[Быкова]], Г А [[Иванова|Иванова Г.А.]], Н Е [[Лысенко]])
Однако вопросы о специфике проявления и педагогических условиях развития языковой личности студента технического вуза остаются недостаточно разработанными. @@color:red; Одним из эффективных средств дальнейшего развития языковой личности в процессе получения высшего образования является профессионально-ориентированное краеведение @@, которое составляет уникальное педагогическое явление, объединяющее в один процесс обучение, воспитание, практическую деятельность получения профессии, научно-исследовательское творчество и реализуется в интегративном подходе к обучению Анализ образовательной практики и результаты педагогических исследований свидетельствуют, что интегрирование элементов профессионально-ориентированного краеведения в содержание иноязычного образования высшей технической школы является одной из актуальных проблем педагогики и методики профессионального образования.
Однако специальных исследований по изучению развития языковой личности студентов технического вуза в процессе профессионально-ориентированного краеведения не было проведено @@color:red; '' Между тем современное состояние иноязычного образования в высшей технической школе является недостаточно эффективным '' не существует единой разработанной системы обучения иностранному языку, отсутствуют учебные пособия и методические рекомендации, раскрывающие особенности развития языковой личности в процессе профессионально-ориентированного краеведения @@, практиче-
{{gsyu_ar_s5_1}}*[[gsyu_ar_s5_1]]
{{gsyu_ar_s5_2}}*[[gsyu_ar_s5_2]]
{{gsyu_ar_s5_3}}*[[gsyu_ar_s5_3]]
{{gsyu_ar_s5_4}}*[[gsyu_ar_s5_4]]
{{gsyu_ar_s5_5}}*[[gsyu_ar_s5_5]]
{{gsyu_ar_s5_6}}*[[gsyu_ar_s5_6]]
ские занятия по иностранному языку в вузах в основном сводятся к изучению грамматических явлений и «тренировочным упражнениям по переводу со словарем» У значительной части выпускников технических вузов сохраняется низкий уровень языковой подготовки, что непосредственно влияет на эффективность профессиональной деятельности.
Изложенное выше позволило выявить ряд противоречий: между потребностью общества в высококвалифицированных специалистах, владеющих не только совокупностью профессиональных знаний и умений, но и определенным уровнем развития культуры, способных к межкультурному общению в условиях диалога культур, и сложившейся системой иноязычного образования в техническом вузе, между уровнем развития языковой личности студентов и реальными возможностями ее формирования в условиях технического вуза, между необходимым уровнем языковой компетенции будущих специалистов и затрудненностью его формирования при сложившихся в технических вузах традиционных моделях и технологиях обучения иностранному языку, между существованием новейших технологий в области иноязычного образования, предполагающих обращение к личности студента, и недостаточно высоким уровнем овладения ими, между социальной потребностью в специалистах с активной гражданской и жизненной позицией, творческим и самостоятельным мышлением и низкой эффективностью организации их учебно-познавательной деятельности.
Выявленные противоречия обусловили выбор темы исследования, проблема которого сформулирована следующим образом каковы педагогические условия развития языковой личности студентов технического вуза
Решение данной проблемы составляет ''цель исследования''.
''Объект исследования'' — процесс формирования языковой личности студента
технического вуза
''Предмет исследования '' педагогические условия развития языковой личности студента технического вуза
'' Научная новизна исследования'' состоит в том, что
- уточнено понятие «языковая личность» в контексте социально-психологических и педагогических характеристик и особенностей ментально-языковой образовательной среды,
- выявлены критерии развитой языковой личности студента технического вуза, представляющие собой интегративный комплекс структуры мотивов и иерархии ценностных смыслов языковой личности студента, релевантных осуществлению будущей профессиональной деятельности, языковой компетенции и коммуникативных навыков и личностных качеств, определяющих универсальную реализацию речевого поведения,
- определены основные педагогические условия и средства развития языковой личности студента технического вуза, представляющие собой активизацию ресурсных возможностей профессионально-ориентированного краеведения через включение студентов в проектную и поисковую деятельность с целью изучения и исследования истории и современного состояния материальной культуры своего края
[[СодержаниеДиссертацияГодуноваСЮ]]
[[Годунова]]
Интернет
[ext[ссылка pdf|https://yadi.sk/i/GP56V-b49AKBZQ]]* [ext[ссылка doc|https://yadi.sk/i/ZknERC-Cj3f8VA]]
Локальная
[ext[ссылка pdf|file:///D:/BI/dis_godunova_syu.pdf]]*[ext[ссылка docx|file:///D:/BI/dis_godunova_syu.docx]]
---
{{gsyu_dis_s4-29}}***[[gsyu_dis_s4-29]]***
{{gsyu_dis_s30-39}}***[[gsyu_dis_s30-39]]***
{{gsyu_dis_s40-59}}***[[gsyu_dis_s40-59]]***
{{gsyu_dis_s60}}*[[gsyu_dis_s60]]
{{gsyu_dis_s61}}*[[gsyu_dis_s61]]
{{gsyu_dis_s62_1}}*[[gsyu_dis_s62_1]]
{{gsyu_dis_s62_2}}*[[gsyu_dis_s62_2]]
{{gsyu_dis_s63_1}}*[[gsyu_dis_s63_1]]
{{gsyu_dis_s67_3}}*[[gsyu_dis_s67_3]]
{{gsyu_dis_s68_1}}*[[gsyu_dis_s68_1]]
{{gsyu_dis_s68_2_4}}*[[gsyu_dis_s68_2_4]]
{{gsyu_dis_s69}}*[[gsyu_dis_s69]]
{{gsyu_dis_s72_2}}*[[gsyu_dis_s72_2]]
''Основные положения, выносимые на защиту''
''Основные положения, выносимые на защиту'':
1. Языковая личность представляет собой совокупность социально-психологических и педагогических свойств человека, определяющих ее способность к творческой текстовой деятельности и отображению специфической национально-языковой картины мира, конструктивное взаимодействие с окружающей средой, открытость для восприятия и адаптации в иной ментально-языковой среде с целью приобщения к иноязычной культуре и определения своего места в спектре различных культур.
2. В основу определения развитой языковой личности студента положены следующие критерии: наличие 2-х видов компетенции: языковой и коммуникативной; мотивационно-ценностное отношение к родному и иностранным языкам, к родной и иноязычным культурам, а также к будущей профессиональной деятельности и пространству, в котором происходит процесс социализации и профессионального самоопределения данной личности.
3. Модель процесса развития языковой личности студентов включает в себя четыре компонента: мотивационно-целевой компонент, обеспечивающий присвоение ценностей родной и иноязычной культуры, формирование активной гражданской позиции, определение языковой личностью своего места в мировой культуре; содержательный компонент, детерминирующий отбор профессионально-ориентированного краеведческого материала, способствующего контрастивно-сопоставительному изучению родной и иноязычной культур в контексте их взаимовлияния; процессуальный компонент, определяющий место профессионально-ориентированного краеведения в иноязычном образовании, его методы и приемы; рефлексивный, включающий осознание личностью себя в качестве культурно-исторического субъекта родного края и одновременно поликультурного субъекта через соизучение языков сравнение различных культур.
1. Языковая личность представляет собой совокупность социально-психологических и педагогических свойств человека, определяющих ее способность к творческой текстовой деятельности и отображению специфической национально-языковой картины мира, конструктивное взаимодействие с окружающей средой, открытость для восприятия и адаптации в иной ментально-языковой среде с целью приобщения к иноязычной культуре и определения своего места в спектре различных культур.
2. В основу определения развитой языковой личности студента положены следующие критерии: наличие 2-х видов компетенции: языковой и коммуникативной; мотивационно-ценностное отношение к родному и иностранным языкам, к родной и иноязычным культурам, а также к будущей профессиональной деятельности и пространству, в котором происходит процесс социализации и профессионального самоопределения данной личности.
3. Модель процесса развития языковой личности студентов включает в себя четыре компонента: мотивационно-целевой компонент, обеспечивающий присвоение ценностей родной и иноязычной культуры, формирование активной гражданской позиции, определение языковой личностью своего места в мировой культуре; содержательный компонент, детерминирующий отбор профессионально-ориентированного краеведческого материала, способствующего контрастивно-сопоставительному изучению родной и иноязычной культур в контексте их взаимовлияния; процессуальный компонент, определяющий место профессионально-ориентированного краеведения в иноязычном образовании, его методы и приемы; рефлексивный, включающий осознание личностью себя в качестве культурно-исторического субъекта родного края и одновременно поликультурного субъекта через соизучение языков сравнение различных культур.
4. Основными педагогическими условиями развития языковой личности студента технического вуза являются: активизация ресурсных возможностей профессионально-ориентированного краеведения, выступающего в качестве содержательной основы иноязычного образования; организация познавательной деятельности студентов, изучение и исследование истории и современного состояния материальной культуры своего края с целью формирования прочных профессиональных знаний, имеющих языковую основу; формирование мотивационно–ценностного отношения студентов к будущей профессиональной деятельности и пространству, в котором происходит процесс социализации и профессионального самоопределения личности; развитие языковой компетенции и коммуникативных навыков языковой личности студента, способствующих ее успешному функционированию в рамках диалога культур; осознание студентами себя в качестве культурно-исторических субъектов родного края и одновременно поликультурных субъектов в спектре различных культур и на этой основе формирование мотивационно-ценностного отношения к родному и иностранному языкам, как эффективному средству дальнейшего личностно-языкового развития; использование в образовательном процессе проблемно-коммуникативных методов обучения, игровых технологий (ценностно-ориентированных и профессионально-ориентированных ролевых игр и дискуссий), предполагающих обращение к личности студента и направленных на реализацию ее языкового поведения.
<center>''1.1 Теоретико-методологический статус проблемы языковой личности в философской, культурологической, психологической и
лингвистической науке''</center>
<center>''1.1.1 Ретроспектива исследования концепции
языковой личности в философии и культурологи''</center>
''Философский аспект.''
В рамках данного параграфа языковая личность может быть представлена как носитель системы языка, активный субъект познания окружающей действительности и участник конструктивной коммуникации. Здесь же следует заметить, что в ''философских исследованиях понятие «языковая личность» не употребляется''^^1^^. Между тем изучение проблемы взаимосвязи и взаимозависимости языка и сознания, описание человека, владеющего первичной знаковой системой, и самой этой системы в определенной степени иллюстрирует философский аспект поднимаемой нами проблемы. Так, например, упомянутая выше проблема языка и сознания раскрывалась в первом приближении еще в трудах Аристотеля, Платона, стоиков, Фомы Аквинского и других выдающихся мыслителей. Кульминационное отражение данная проблема нашла в трудах Л. Витгенштейна , который создал предпосылки для многостороннего понимания функциональной роли языка в человеческом обществе, в системе социокультурных связей и отношений.
1 - это не правильно есть работы
Таким образом, человек — носитель системы естественного языка, предмет
философского изучения в целом может быть охарактеризован следующим образом: 1)
активный субъект языковой деятельности; 2) носитель языка как средства
философствования; 3) субъект познания окружающего мира, обладающий способностью к
абстрактному мышлению; 4) носитель системы естественного языка как инструмента
конструирования человеком в собственном сознании определенной концептуальной
картины окружающей его действительности, или, другими словами, обобщенной модели
(образа) мира; 5) участник диалога, или субъект языкового взаимодействия, имеющий
возможность описывать окружающую действительность, т. е. создавать тексты; 6)
субъект лингвистической терапии (субъект воздействия на концептуализации в сознании
других людей), которая посредством системы языка способствует расширению
интеллектуальных возможностей человека, обогащению его индивидуального жизненного
опыта и преодолению проблемных ситуаций определенной степени сложности.
Следует подчеркнуть, что многие характеристики языковой личности (в данном контексте - носителя системы языка) перекликаются с характеристиками и аспектами изучения данного феномена в лингвистике и психологии, о чем речь пойдет ниже.
''Культурологический аспект.''
Язык обладает способностью воздействовать на формирование и развитие народной культуры, которая, в свою очередь, персонализируется
как личность. Из этого явствует, что проблемы языка, культуры и личности следует
ставить во главу угла, так как практически именно с культуры начинается духовное
общение людей, понимание и сотрудничество народов, а общение культур
актуализируется в общении личности.
Итак, опираясь на вышеизложенные типологические концепции современной
культурологи и культурологические определения личности, мы подытоживаем: в каждой
национальной культуре есть образ человека: это целостная человеческая личность. Будучи
примененным, с одной стороны, к обществу и его культуре как человеческому индивиду и
одновременно социальному типу, и с другой - включенным в систему определенного
национального языка, понятие «национальная личность» оказывается средоточием всех
важнейших концептуальных характеристик предметов духовной и материальной культуры
народа. Такая личность предполагает как изменения, так и неизменность, без чего не
может быть отождествления личности в разные эпохи ее развития. Коренные различия в
типах личности определяются влиянием культурной среды, а «выявление устойчивого
набора черт предполагается не в том или ином социуме, а в культурной группе, которых
внутри одного и того же общества может быть несколько» [74, С. 26]. Следовательно,
понятие «национальная личность» и подвижное, и одновременно устойчивое в своей
сущности.
Для исследования проблем взаимодействия языка и культуры личность
(национальная личность) - средоточие их взаимосвязей - должна раскрываться как
выраженная в языке, как языковая личность (homo loquens). Это - не сужение или
специфика - для личности вообще, а ее углубление, развитие, насыщение дополнительным
содержанием. В противном случае эта проблема останется на уровне рассуждений о
культуре и личности вне ее воплощения в языке.
<center>''1.1.2 Концептуальные подходы к исследованию языковой личности в психологической и лингвистической парадигме''
</center>
''Психологический аспект.''
Как уже отмечалось ранее, исследования языковой личности на стыке нескольких
наук представляются нам весьма плодотворными и перспективными. Поэтому далее
подчеркнем целесообразность и даже необходимость изучения языковой личности в
рамках именно психологической парадигмы, ибо и лингвистическая, и психологическая
науки всегда имели общие предметы изучения и области, аспекты функционирования.
Так, например, психолингвистика как наука, изучающая процессы речеобразования,
восприятия и формирования речи в их соотнесенности с системой языка, возникла в связи
с необходимостью дать теоретическое осмысление ряду практических задач (обучение
родному и иностранному языку, речевое воспитание дошкольников, проблемы
вербального воздействия в том числе в пропагандистской деятельности и т. п.). Для их
решения недостаточно только лингвистического и культурологического подходов,
связанных с анализом устного или письменного текста, а не его создателя (собственно
языковой личности).
Употребляемое и характеризуемое в рамках лингвистической парадигмы понятие
«личность» синонимично ряду лишь таких понятий, как «человек», «субъект», «индивид»,
«носитель языка», «человек говорящий»; а значит, расходится с традиционной для общей
психологии трактовкой упомянутого термина. То есть личности как «относительно
устойчивой совокупности психических свойств, как результата включения индивида в
пространство межиндивидуальных связей» [29, С. 175].
Надо отметить, что термин «личность» используется в психологии как в широком,
так и в узком смысле. В первом случае под личностью понимается «...совокупность
психологических качеств, которые характеризуют каждого отдельного человека. ...В этом
широком смысле
термин «личность» включает в себя такие понятия, как характер, темперамент и
способности, соответствующие трем ее частным аспектам» [104, С. 197]. Приведем еще
несколько определений: «термин «личность» охватывает ансамбль психической
организации человеческого индивида» [196, С. 23]; «личность - интегрированная
организация всех познавательных, аффективных и физических характеристик индивида,
отличающих его от других людей» [185, С. 103]. Предельно широко и определение
личности как «воедино связанной совокупности внутренних условий, через которые
преломляются все внешние воздействия» [135, С. 242].
В узком смысле под личностью понимают то, что в наибольшей степени определяет психологическую сущность человека или природу человеческой психики, трактуемую по-разному в разных подходах. Можно указать лишь несколько общих положений о личности, которые принимаются почти всеми авторами. «Одно из них состоит в том, что личность представляет собой некое неповторимое единство, некую целостность. Другое положение заключается в признании за личностью роли высшей интегрирующей инстанции» [89, С. 160]. Цементирующее эту целостность начало в разных подходах определяется по-разному. Выделим среди них четыре основных направления.
{{gsyu_dis_s30_1}}*[[gsyu_dis_s30_1]]
{{gsyu_dis_s30_2}}*[[gsyu_dis_s30_2]]
{{gsyu_dis_s33_2}}*[[gsyu_dis_s33_2]]
{{gsyu_dis_s34_3}}*[[gsyu_dis_s34_3]]
{{gsyu_dis_s35}}*[[gsyu_dis_s35]]
{{gsyu_dis_s36_1}}*[[gsyu_dis_s36_1]]
{{gsyu_dis_s36_2}}*[[gsyu_dis_s36_2]]
{{gsyu_dis_s36_3}}*[[gsyu_dis_s36_3]]
{{gsyu_dis_s36_4}}*[[gsyu_dis_s36_4]]
{{gsyu_dis_s37_1}}*[[gsyu_dis_s37_1]]
{{gsyu_dis_s37_2}}*[[gsyu_dis_s37_2]]
{{gsyu_dis_s37_3}}*[[gsyu_dis_s37_3]]
{{gsyu_dis_s37_4}}*[[gsyu_dis_s37_4]]
{{gsyu_dis_s38_1}}*[[gsyu_dis_s38_1]]
{{gsyu_dis_s38_2}}*[[gsyu_dis_s38_2]]
{{gsyu_dis_s38_3}}*[[gsyu_dis_s38_3]]
{{gsyu_dis_s38_4}}*[[gsyu_dis_s38_4]]
{{gsyu_dis_s38_5}}*[[gsyu_dis_s38_5]]
{{gsyu_dis_s39_1}}*[[gsyu_dis_s39_1]]
{{gsyu_dis_s39_2}}*[[gsyu_dis_s39_2]]
Общение пронизывает весь процесс совместной деятельности от начала до конца, играя организующую роль» [94, С. 239]. Существуют разные понимания соотношения общения и деятельности. Так, общение может быть истолковано как один из «видов деятельности», «деятельность общения», «коммуникативная деятельность». Иногда его определяют только как «условие деятельности», ее определенную «сторону». Другими словами, общение рассматривается как частный случай деятельности, «растворяющей» его в себе. В то же время общение является активным процессом. И если понимать деятельность как активность вообще, то возможно отнести общение к категории деятельности.
В контексте данного параграфа нас интересует психологический феномен развития языковой личности, на описании которого мы и остановимся. Источником, детерминирующим формирование и развитие языковой личности в процессе общения, является лингвокультурная общность.
Выступая условием осуществления речевой деятельности человека, она несет те общепринятые, устоявшиеся языковые нормы, коды и универсалии, обусловливает как конкретные словоупотребления и целенаправленное функционирование системы естественного языка (первичных знаков), в частности, так и формирование, языковой ситуации и, как следствие, языковой политики в целом, под непосредственным влиянием которых развивается и совершенствуется языковая личность. Подлинным основанием и движущей силой развития последней выступает совместная речевая деятельность и конструктивное межличностное общение, посредством которых осуществляется движение языковой личности в мире других людей-носителей системы естественного языка, приобщения ее к определенной лингвокультурной общности, органичное вхождение в нее.
В рамках системно-деятельностного подхода языковая личность рассматривается нами как субъект речевой деятельности, который сложился как эффективный участник конструктивных коммуникативных отношений (или, другими словами, активный субъект конструктивного межличностного общения как совместной деятельности). В результате своевременного, целенаправленного, гармоничного вхождении в конкретную лингвокультурную общность, языковая личность становится носителем следующих психологических характеристик. Во-первых, субъективного, индивидуального, уникального, изменяющегося в соответствии с новой речевой ситуацией умения использовать систему языка и аДекватно воспринимать вербальную информацию; во- вторых, продуктивного соответствия между наличием и реализацией речевой интенции; в-третьих, обладания двумя видами компетентности (лингвистической (языковой), коммуникативной), что детерминирует готовность и способность языковой личности к интеллектуально плодотворному общению.
Вербальный план личности потенциально находится под жестким социальным контролем. Речь идет о необходимости усвоение общепринятых
значений слов. Социализация языковой личности поставлена под своего рода наблюдение, во-первых, самой системы значений и совокупности правил оперирования употребляемыми словами; во-вторых, структурой деятельности, в которую входят в том числе и речевые действия; и, в- третьих, этическими правилами данной конкретной лингвокультурной общности.
Основной смысл коммуникации («внутренней активности общества»), ее основная функциональная нагрузка, как считает A.A. Леонтьев, состоит в том, что она (коммуникация, речевая деятельность) обеспечивает любую другую деятельность. Таким образом, языковая личность как участник коммуникативных отношений, имеет непосредственную цель, выраженную или в овладении этой деятельностью («распредмечивание») (1), или в планировании этой деятельности (2), или в ее координации (3). В ходе речевой деятельности языковая личность совершает речевые действия, которые предполагают: постановку цели (хотя и подчиненной общей цели деятельности) (1), планирование (2), осуществление плана (в данном случае внутренней программы) (3) и сопоставление цели и результата (4).
Исходя из вышеизложенного, в общем виде'' развитие языковой личности понимается нами как непрерывный процесс и закономерный результат вхождения человека в конкретную лингвокультурную общность''. Если языковая личность функционирует в относительно стабильной указанной общности, то она при благоприятно складывающихся обстоятельствах (непротиворечивой языковой ситуации, продуманной языковой политике) проходит ''три этапа'' своего ''становления и совершенствования.''
''Первая стадия'' - адаптация - предполагает усвоение человеком основных устоявшихся языковых норм, общепризнанных значений слов, семантических кодов, стандартного лексикона данного языка; овладение суммой правил естественного языка как системой первичных знаков. Другими словами, человек как носитель языка усваивает совокупность
языковых стандартов, объем экспрессивно нейтральной лексики, необходимый для поддержания коммуникативных отношений с другими людьми. Это позволяет выполнять номинативную (обозначающую) и сигнификативную (смысловую) функции на самом низком уровне развития языковой личности как своего рода среднестатистического субъекта речевой деятельности.
''На втором этапе'' развития языковой личности — этапе индивидуализации — ее речевые умения, навыки, опыт выходят на уровень профессиональных стандартов. В речи преобладает экспрессивная, то есть эмоционально окрашенная лексика.
И, наконец, на ''третьем уровне'' — интеграции -— наблюдается гармоничное креативное соединение языковой способности и языковой активности языковой личности, функционирующей в рамках конкретной лингвокультурной общности, т.е. умение языковой личности соответствовать тем требованиям, которые предъявляются ее вербальному поведению и продукции другими носителями языка, в единстве с сформировавшимся индивидуальным стилем речевой деятельности и возможностью посредством последнего влиять на системы личностных смыслов, ценностей, установок и, как результат, на поведение других людей. Достигшая самого высокого уровня собственного развития языковая личность (участник метакоммуникации) отличается связной речью, характерным для нее соответствием между наличием и реализацией речевой интенции, умелым и уместным использованием новых словоупотреблений и т. д.
Завершая описание языковой личности как субъекта языкового взаимодействия, суммируем присущие ей психологические характеристики:
1 Основательное овладение системой естественного языка (репрезентирующего соответствующее содержание) и умелое ее использование в целях речевой деятельности — общения.
2 Наличие коммуникативной интенции, установки на сообщение.
3 Конструирование в сознании модели окружающего мира.
4 Достижение продуктивного и конструктивного сосуществования различных моделей мира.
5 Наличие двух видов компетентности: лингвистической (языковой) и коммуникативной.
В качестве лаконичного вывода скажем следующее. С одной стороны, языковая личность характеризуется четко выраженными психологическими особенностями, с другой стороны — сформированными лингвистическими навыками и умениями.
''Лингвистический аспект.''
Личность и язык нерасторжимо связаны, ибо именно в личности «сходятся интересы всех наук о человеке» [67, С. 3]. Как показывает обширный опыт лингвистического анализа, проблемой, которая пронизывает все аспекты изучения языка и одновременно сглаживает границы между дисциплинами, изучающими человека, представляется именно проблема языковой личности. Нельзя изучать человека вне его языка.
Проблема языковой личности представляется для лингвистики объектом не новым. Однако, как считает Ю. Н. Караулов, «научная традиция сложилась так, что изучение этого объекта оставалось мелкомасштабным; он рассматривался как бы с «птичьего полета», и исследователю удавалось разглядеть и зафиксировать в этом случае лишь самые общие черты, характеризующие человека как вид, как существо говорящее, как homo loquens» [там же, С. 3-4].
Поэтому совершенно закономерно в современном языкознание появилось новое интенсивно развивающееся направление, которое получило название антропоцентрического (или антропологического). Как явствует из внутренней формы самого термина (antropos - человек), антропологическая лингвистика в центр своих интересов ставит не столько язык (с точки зрения закономерностей его внутреннего строения), сколько «человека говорящего», т. е. языковую личность. Именно языковая личность (т.е.
человек в его способности совершать речевые действия) - стала интегральным объектом многочисленных сфер науки о языке, которые составили различные области антропологического языковедения. К их числу можно отнести прагма - и социолингвистику, лингвистику детской речи, лингвистику текста, этнолингвистику и другие.
Психолингвистика, по нашему мнению, составляет ядро антропоцентрического направления в лингвистике. Её предметом выступает языковая личность, рассматриваемая в индивидуально-психологическом аспекте. В психологии есть издавна существующая область - психология речи, объект и предмет которой в точности совпадают с объектом и предметом психолингвистики. К настоящему времени сложилась традиция отождествления этих двух дисциплин. Резон в таком отождествлении есть, однако разница в понимании этих терминов существует. Отличия касаются главным образом ракурса рассмотрения предмета изучения: психология больше концентрирует свое внимание на особенностях психических функций сознания в ходе порождения, понимания и формирования речи, в то время как психолингвистика вместе с этим старается учитывать и способы выражения (языковые и невербальные) этих функций в речевой деятельности и речевом поведении людей.
Работы других исследователей посвящены ''изучению педагогических основ воспитания языковой личности в процессе преподавания лингвистических и речеведческих дисциплин ''(Г.И. Быкова, Г.А. Иванова, Н.Е Лысенко).
{{gsyu_dis_s4_2}}*[[gsyu_dis_s4_2]]
{{gsyu_dis_s5_3}}*[[gsyu_dis_s5_3]]
{{gsyu_dis_s6}}*[[gsyu_dis_s6]]
{{gsyu_dis_s7_1_2}}*[[gsyu_dis_s7_1_2]]
{{gsyu_dis_s11}}*[[gsyu_dis_s11]]
{{gsyu_dis_s12_1}}*[[gsyu_dis_s12_1]]
{{gsyu_dis_s16_2_3}}*[[gsyu_dis_s16_2_3]]
{{gsyu_dis_s16_4}}*[[gsyu_dis_s16_4]]
{{gsyu_dis_s23_2}}*[[gsyu_dis_s23_2]]*
{{gsyu_dis_s23_3}}*[[gsyu_dis_s23_3]]
{{gsyu_dis_s23_4}}*[[gsyu_dis_s23_4]]
{{gsyu_dis_s24_1}}*[[gsyu_dis_s24_1]]
{{gsyu_dis_s28_2_3}}*[[gsyu_dis_s28_2_3]]
{{gsyu_dis_s29_1}}*[[gsyu_dis_s29_1]]
{{gsyu_dis_s29_2_4}}*[[gsyu_dis_s29_2_4]]
{{gsyu_dis_s29}}*[[gsyu_dis_s29]]
До недавнего времени психолингвистика занималась исследованиями речевой деятельности вообще, имея в виду некоторого усредненного носителя языка. Такое обобщение позволяет выявить универсальные законы порождения, восприятия и понимания речи, которым подчиняются все говорящие. Однако люди отличаются друг от друга, и в том числе - в своих речевых поступках. Попытки выделить отличительные особенности речевого поведения и речевой деятельности привели к возникновению в психолингвистике ''нового объекта изучения - языковой личности, которая рассматривается с точки зрения его способности совершать речевые действия — порождения и понимания высказываний.''
{{gsyu_dis_s40_2}}*[[gsyu_dis_s40_2]]
{{gsyu_dis_s41_2}}*[[gsyu_dis_s41_2]]
{{gsyu_dis_s41_5}}*[[gsyu_dis_s41_5]]
{{gsyu_dis_s42_1}}*[[gsyu_dis_s42_1]]
{{gsyu_dis_s42_2}}*[[gsyu_dis_s42_2]]
{{gsyu_dis_s42_3}}*[[gsyu_dis_s42_3]]
{{gsyu_dis_s42_4}}*[[gsyu_dis_s42_4]]
{{gsyu_dis_s42_5}}*[[gsyu_dis_s42_5]]
{{gsyu_dis_s43_1}}*[[gsyu_dis_s43_1]]
{{gsyu_dis_s43_2}}*[[gsyu_dis_s43_2]]
{{gsyu_dis_s43_3}}*[[gsyu_dis_s43_3]]
{{gsyu_dis_s43_4}}*[[gsyu_dis_s43_4]]
{{gsyu_dis_s43_5}}*[[gsyu_dis_s43_5]]
{{gsyu_dis_s43_6}}*[[gsyu_dis_s43_6]]
{{gsyu_dis_s44_1}}*[[gsyu_dis_s44_1]]
{{gsyu_dis_s44_2}}*[[gsyu_dis_s44_2]]
{{gsyu_dis_s44_3}}*[[gsyu_dis_s44_3]]
{{gsyu_dis_s44_4}}*[[gsyu_dis_s44_4]]
{{gsyu_dis_s44_5}}*[[gsyu_dis_s44_5]]
{{gsyu_dis_s51}}*[[gsyu_dis_s51]]
{{gsyu_dis_s59}}*[[gsyu_dis_s59]]
Внимательно вслушиваясь в речь незнакомого собеседника, наблюдая его в разных коммуникативных ситуациях мы можем составить портрет языковой личности. Речь человека - его визитная карточка. Она несет в себе информацию о самых различных чертах личности говорящего: о его происхождении, возрасте, профессии, образовании, интеллекте и т. д. Языковая личность проявляет себя в речевом поведении. Содержание термина «речевое поведение» шире понятия «речевая деятельность», ибо он включает в себя и помимовольные (термин Е.Д. Поливанова) коммуникативные действия и реакции говорящего / пишущего и зависит от культуры, к которой говорящий / пишущий принадлежит.
Ю.Н. Караулов, обстоятельно занимавшийся проблемой языковой личности, считает, что к последней как задаче исследования, объекту изучения и исследовательскому приему можно прийти тремя путями: от психологии языка и речи — это психолингвистический путь (И.А.Б. де
Куртенэ); от закономерностей обучения языку - от лингводидактики (Ф.И. Буслаев); от изучения языка художественной литературы и ораторской речи, то есть от стилистики (В.В. Виноградов).
Им же (Ю.Н. Карауловым) впервые была предложена трехуровневая (хотя и
отличающаяся нетрадиционной иерархией своих уровней) структура русской языковой
личности. Особенности функционирования упомянутых уровней представляются
лексиконом, тезаурусом и прагматиконом языковой личности.
Так, на «нулевом», или вербально-семантическом уровне (ординарная языковая семантика) хотя и можно констатировать некоторую нестандартность, неповторимость вербальных ассоциаций отдельной языковой личности, но сами по себе они пока еще не дают сведений об интересующем нас феномене, о более сложных ступенях его организации.
Характеризуя первый (после нулевого), или тезаурусный уровень в данной структуре, необходимо сказать о выявлении и установлении иерархии смыслов и ценностей в языковой картине мира, в тезаурусе языковой личности. Завершенная, однозначно воспринимаемая картина мира возможна лишь на основе установления градации смыслов и ценностей для отдельной языковой личности. Имеется в виду вычленение и анализ переменной, вариативной, специфической и неповторимой части в картине мира языковой личности. Этого можно достичь лишь при условии, что базовая, инвариантная часть данной картины (единая и общая для целой эпохи) исследователю известна. Характеризуемый уровень предполагает отражение личности в ее языковой модели мира.
Что же касается второго, или мотивационно-прагматического (более высокого по отношению к лингво-когнитивному) уровня анализа, языковой личности, то он включает выявление и характеристику ее мотивов и целей. Последние являются движущей силой развития и поведения изучаемой личности, управляющим началом ее текстопроизводства и, как результат, определяющим критерием градации смыслов и ценностей в ее языковой
модели мира.
Речь идет о смысле бытия и цели жизни как отдельного человека, так и всего человечества. На этом уровне языковая личность как объект исследования сливается с личностью в самом общем, глобальном социально-психологическом смысле. Интересующий нас феномен может быть рассмотрен как особое качество человека, которое он приобретает в социокультурной среде в процессе совместной деятельности и общения, посредством чего осуществляется движение личности в мире людей, приобщение ее к культуре. Это человек «как ценность, ради которой осуществляется развитие общества» [67, С. 174].
Четкую дефиницию языковой личности как самостоятельного предмета изучения в языкознании впервые дала ''Е.В. Красильникова''^^1^^. Она определяет данный термин как «совокупность способностей и характеристик человека, обусловливающих создание и восприятие им речевых произведений (текстов), которые различаются: а) степенью структурноязыковой сложности, б) глубиной и точностью отражения действительности, в) определенной целевой направленностью» [178, С. 3].
1 - ????!! Почему не караулов
Исследователь предлагает следующую состоящую из трех уровней, перекликающуюся с вышеописанной, структуру языковой личности. Первый уровень — вербально-семантический, предполагающий для: носителя системы языка достаточное владение данным естественным языком, а для исследователя — традиционное описание формальных средств выражения определенных значений.
Вторым уровнем структуры языковой личности является когнитивный уровень, единицами которого являются понятия, идеи, концепты, складывающиеся в сознании в упорядоченную картину мира, отражающую иерархию ценностей человека, расширение значения и переход к знаниям.
Третьим уровнем структуры языковой личности является прагматический уровень, заключающий в себе цели, мотивы, интересы, установки, интенциональности и обеспечивающий в анализе языковой личности.
закономерный и обусловленный переход от оценок ее речевой деятельности к осмыслению реальной деятельности в мире. По мнению А.Р. Лурии, генетические корни языка следует искать в тех формах конкретных человеческих действий, в которых осуществляется отражение внешней действительности и формирование субъективного образа объективного мира, основных приемов общения с окружающими.
Таким образом, основываясь на определении Е.В. Красильниковой, и в контексте вышеизложенного, подведем некоторые итоги:
Языковая личность - это человек, рассматриваемый с точки зрения его способности создания и восприятия речевых произведений (текстов), неповторимость которого определяется уникальной комбинацией социально-психологических характеристик. Языковая личность проявляет себя в речевом поведении, имеющем ряд отличительных особенностей от поведения других языковых личностей и зависящем от культуры, к которой данная языковая личность принадлежит.
<center>''1.1.3 Современное состояние проблемы языковой личности в
педагогической теории и практике образования''</center>
Концепция языковой личности весьма существенна для педагогической науки, так как именно она может обеспечить оптимальные условия для формирования и эффективного развития языковой личности. Как уже отмечалось, языковая личность выступает носителем культуры и наиболее полно раскрывается в своей языковой реализации через прояснение смыслов текстов, где выражена культура, к которой эта личности принадлежит. Однако языковая личность не может быть отождествлена со всей культурой «своей» общности, она лишь вмещает в себя какую-то ее часть, а вернее, различные ее элементы, соответствующие социальному положению личности и отвечающие ее культурному самоопределению. Такое самоопределение может происходить только в процессе усвоения личностью социального опыта и осуществляется
Выявленные противоречия обусловили выбор темы исследования, ''проблема'' которого сформулирована следующим образом: каковы педагогические условия развития языковой личности студентов технического вуза?
Именно когнитивный подход к языку и культуре позволяет рассматривать культуру как содержательную характеристику человеческой деятельности, опосредованную языком. Сегодня воспринимаются как равнозначно важные процессы формирования адекватного представления о лингвистическом явлении и развития умений использовать это явление в реальной коммуникации, а ведущим подходом к обучению в современных условиях признается коммуникативно-когнитивный подход (Щепилова A.B.). Это значит, что две стороны процесса иноязычного образования неразрывны и отражают единство одинаково важных функций, свойственных человеческому языку: язык является инструментом общения, с одной стороны, и инструментом познания, с другой. Сишез коммуникативного и когнитивного подходов возможен и необходим еще и потому, что язык одновременно служит и когниции и коммуникации, и сама система языка ориентирована на оптимальное согласование указанных функций в их взаимодействии. Коммуникация или дискурсивная деятельность - это тоже когнитивный процесс, так как в этой деятельности всегда оперируют разными типами и разными структурами знаний и опыта, в ней добиваются неких изменений в поведении человека, в частности, появления у него новых оценок и знаний. Таким образом, когнитивная доминанта современных лингвистических и лингводидакгических исследований, несомненно, играет огромную роль при учете закономерностей познавательного процесса при обучении иностранному языку (Кубрякова Е.С.).
Усиление когнитивных аспектов в иноязычном образовании связанно в первую очередь с формированием у обучающегося языковой и концептуальной картин мира, формированием когнитивного и языкового сознания (Корчажкина О.М.).
Понятие картины мира строится на изучении представлений человека о мире. Современная культурология трактует картину мира как «сетку координат, при посредстве которой люди воспринимают действительность и
Решение данной проблемы составляет цель исследования.
''Объект исследования'' - процесс формирования языковой личности студента технического вуза.
''Предмет исследования'' - педагогические условия развития языковой личности студента технического вуза.
В соответствии с проблемой, объектом, предметом и целью были поставлены следующие ''задачи'':
- выявить сущность, структуру, содержание языковой личности студентов, критерии и уровни ее сформированности;
- определить особенности и основные подходы к развитию языковой личности студента в техническом вузе;
- исследовать состояние проблемы развития языковой личности студентов в практике подготовки специалистов в техническом вузе;
- осуществить моделирование процесса развития языковой личности студентов в процессе иноязычного образования в техническом вузе;
- разработать и апробировать педагогические условия развития языковой личности студентов в системе технического вуза, определить их эффективность.
''Гипотеза исследования'' основана на предположении, что одним из основных педагогических условий развития языковой личности студентов технического вуза выступает профессионально-ориентированная краеведческая направленность иноязычного образования, которая обеспечивает:
- формирование структуры мотивов и иерархии ценностных смыслов языковой личности студентов, релевантных осуществлению будущей профессиональной деятельности, а именно: мотивационно-ценностного отношения к будущей профессиональной деятельности и к пространству, в котором происходит процесс социализации и профессионального самоопределения данной личности;
строят образ мира, существующий в их сознании» [43, С.15]. ''Если мир - это человек и среда в их взаимодействии, то картина мира — результат переработки информации о среде и человеке.'' Концептуальная картина мира (ККМ) — это система образов, в которой человеку представлена окружающая его действительность. ККМ возникает в различных аспектах духовной активности человека и опосредует собой все планы человеческой жизнедеятельности.
Человек отличается наличием сознания — осознанного отражения действительности. Отражая в процессе деятельности объективный мир, человек фиксирует в слове результаты познания. Именно язык является важнейшим способом формирования и существования знаний человека о мире. Совокупность этих знаний, запечатленных в языковой форме, и есть «языковая картина мира» (ЯКМ) - некая «виртуальная реальность», которая у каждого «человека говорящего» своя и сквозь призму которой он видит мир.
Языковая картина мира (ЯКМ) не стоит в ряду со специальными картинами мира, она им предшествует и формирует их, потому что человек способен понимать мир и самого себя благодаря языку, в- котором закрепляется общественно-исторический опыт — как общечеловеческий, так и национальный. Последний и определяет специфические особенности языка на всех его уровнях. Национальная картина мира дает лишь специфическую окраску этого мира, отличную от объективно существующей, обусловленную национальной значимостью предмеюв, явлений, процессов, избирательным отношением к ним, которое порождается спецификой деятельности, образа жизни и национальной культурой данного народа. Каждый язык отражает определенный, только присущий ему способ восприятия мира, складывающийся в единую систему взглядов, разделяемых всеми носителями данного языка (Маслова В.А.). Основное расхождений между ЯКМ и ККМ — в принципе построения картины мира. Языковая картина мира формируется по законам языка, а
концептуальная — по законам физического мира.'' Из всего сказанного следует, что
языковая и концептуальная картины мира взаимосвязаны, но не взаимозаменяемы.''
Языковая картина мира является частью концептуальной, которая имеет «привязку» к
языку и преломлена через языковые формы (Кубрякова Е.С.). Согласно этой позиции
концептуальная картина миря шире, богаче языковой.
Появление большого количества работ, посвященных данной проблеме, связано с
когнитивными исследованиями последних лет, со сменой парадигмы современной науки о
языке, когда окончательно утвердился междисциплинарный подход к решению
глобальных проблем соотношения языка и мышления, и сформировалась когнитивная
лингвистика как одна из составляющих когнитивной науки в целом (Кубрякова Е.С.,
Болдырев Н.К, Красных В.В., Прохоров Ю.Е. и др.).
Когнитивное направление лингвистики исходит из необходимости исследования
структуры знаний о реальном мире, полученных в результате познавательной
деятельности человека и его ориентации в мире. Научная парадигма современной
лингвистики, объединяя когнитивный и коммуникативный подходы к языку, стремится
передать сложную природу языка как системы и как деятельности (Кубрякова Е.С.,
Степанов Ю.С., Красных В.В., Уфимцева Н.В. и др.).
Пользование иностранным языком как средством коммуникации и познания
возможно лишь в случае, если человек обладает элементарным знанием той
действительности, культуры, которую данный язык представляет и которая отражается в
самих языковых единицах. Для успешного общения с представителем иной
лингвокультурной общности необходимо не только владеть одинаковыми с собеседником
языковыми средствами, но и общими содержательными знаниями о мире — общими
когнитивными знаниями, которые принято называть фоновыми знаниями. (Томахин Г.Д.,
Райхштейн А.Д. и др.). «Набор» таких знаний образует когнитивную базу коммуникации.
Взрослый человек обладает знанием мира
в том виде, в каком оно представлено ему родным и уже знакомым языком. Овладение
языком включает человека в социокультурный контекст развития сознания, так как язык
является той конкретной формой, в которой происходит осознание окружающего мира.
Это справедливо в отношении как родного, так и иностранного языков, однако, разница
состоит в том, что, осваивая родной язык, ребенок означивает довербальную картину
мира, тогда как иностранный язык изучается в основном индивидом, уже обладающим
картиной мира, сформированной в контексте родного языка. Его языковое сознание
выступает как система координат, с точки зрения которой оцениваются все поступающие
в сознание элементы нового изучаемого языка. В результате обобщение иноязычного
материала будет происходить по законам родного языка, и образ иностранного языка в
сознании учащегося не будет соответствовать реальности. Чтобы этого избежать,
необходимо помнить, что (1) общественный опыт и знания о мире различны в разных
культурах, что не может не отразиться в языке, а «сознание - есть отражение
действительности, как бы «преломленное» через призму общественно выработанных
языковых значений» [89, С.29]. Субъект, приступивший к изучению иностранного языка,
уже обладает сформированной картиной мира, в которую «вписан» родной язык с
присущей ему системой значений. (2) При обучении иностранному языку необходимо
обращаться к когнитивному уровню сознания субъекта, т.е. представлять иноязычный
материал с точки зрения его содержания в общей структуре изучаемого языка, а действия
на иностранном языке - с точки зрения значений, которые субъект выражает, употребляя в
речи тот или иной языковой материал.
Процесс включения значений иностранного языка в индивидуальный контекст субъекта - носителя другого языка - чреват многими опасностями, связанными с интерпретацией иноязычного материала. Без специальных усилий со стороны обучающего иноязычный материал будет вписываться в смыслообразующий контекст родного языка, а сообщения на нем
интерпретироваться с точки зрения родной культуры. Задачей обучающего является помочь обучающемуся вписать в свой индивидуальный контекст новый смысловой мир - иноязычную культуру.
''Речемыслительная деятельность ''обучающихся во многом ''связана с текстом как объектом восприятия и понимания'', и как продуктом порождения собственного высказывания. Но понять - это значит еще, и оценить, проанализировать и применить полученную информацию,
используя иностранный язык как инструмент познания иной лингвокультуры.
Попытка рассмотреть специфику процесса понимания с неизбежностью приводит нас к когнитивному подходу, предполагающему анализ структуры знания и операции со знанием. В рамках этого подхода получил подтверждение тезис о том, что «понимание не сводимо лишь к лингвистическим или логическим операциям, а предполагает обращение к внутренней картине мира, на основе которой удается «извлечь» знания из обрабатываемого текста (Вайсбурд М.Л., Блохина С.А.). Известный психолог Н.И. Жинкин утверждал, что понимать надо не речь, а действительность.
Это утверждение как нельзя точно применимо к процессу понимании иноязычного лингвокультурного текста, связанного с расшифровкой «чужих культурных кодов», в котором смысл, будучи глубинной категорией, может быть выявлен читателем путем соотнесения языкового содержания текста с индивидуальными знаниями о предмете и явлениях.
Действия обучающихся, направленные на понимание и осмысление иноязычного текста, должны стать связующим звеном, своеобразным «мостиком» к этапу коммуникативной деятельности обучающихся. Бесспорно, что в условиях изучения иностранного языка вне естественного контекста его бытования, при опосредованном контакте с аутентичной информацией доля рецептивных видов речевой деятельности занимает значительное место. Тем более, что овладение умением читать и / или понимать аудио — видеоинформацию имеет вполне естественную мотивацию. Это, однако, не преуменьшает важность продуктивных видов, и в первую очередь - говорения. «Тем более, что любой процесс в искусственно создаваемой языковой среде - это процесс, нацеленный на перспективу, т.е. на ситуации, с которыми обучающийся может столкнуться в будущем, как в своей стране, так и в стране изучаемого языка» [35, С. 10].
Организация познавательной и коммуникативной деятельности
обучающихся направлена на приобретение личностно значимого опыта, на создание личностного образовательного продукта, связанного с овладением и использованием предметного знания в ситуациях реальной продуктивной деятельности. Это обеспечивает реализацию внутреннего потенциала обучающегося, развитие его креативных способностей в дальнейшей творческой и исследовательской деятельности. В свою очередь выход на данные уровни деятельности возможен в рамках проектировочной деятельности, где каждый обучающийся включен в активный творческий процесс. Данный вид деятельности не только позволяет эффективно согласовывать коммуникативную и познавательную деятельность обучаемых, но и имеет выход на практическую деятельность по: ориентированию в потоке информации; анализу и обобщению информации; сопоставлению фактов; выводу заключений - выходящую за рамки обучения. Все это позволит языковой личности подняться на более высокую ступень обученности, развития, социальной зрелости.
Именно проектировочная деятельность, как своего рода проекция процесса приобретения обучающимися индивидуального опыта общения с чужой лингвокультурой (Гальскова Н.Д.), способна послужить тем средством, которое, пройдя через отражение в сознании обучающегося, составит понимание картины мира иной лингвокультуры. Реально получаемый в процессе обучения результат выступает в виде нового знания, нового способа действия, приобретает для обучающегося личностный смысл.
''Профессионально-ориентированный краеведческий подход.''
Логика нашего исследования, а именно необходимость обращения к ''соизучению родного и иностранного языков, родной и иноязычной культур в процессе иноязычного образования привела нас к рассмотрению профессионально-ориентированного краеведческого подхода к развитию языковой личности студента,'' способствующего становлению творческой национальной личности, её интересов, способностей и потребностей.
— организацию познавательной деятельности студентов на основе изучения и исследования истории и современного состояния материальной культуры своего края с целью формирования прочных профессиональных знаний, имеющих языковую основу;
— развитие языковой компетенции и коммуникативных навыков языковой личности студента, способствующих ее успешному
функционированию в рамках диалога культур;
— осознание студентами себя в качестве культурно-исторических субъектов родного края и одновременно поликультурных субъектов в спектре различных культур (через соизучение языков и культур).
В основе иноязычного образования используется личностно значимая коммуникативная деятельность и проблемно-коммуникативные методы обучения, игровые технологии (ценностно-ориентированные и
профессионально-ориентированные ролевые игры и дискуссии), предполагающие обращение к личности студента и направленные на реализацию ее языкового поведения; применяется алгоритм мониторинга развития языковой личности в системе профессиональной подготовки студентов технического вуза, основанный на оценке кросс-культурного поведения будущего специалиста, профессионально-ориентированной
лексики, отношения к технологическим достижениям своего края и умения оценивать себя как представителя профессиональной культуры.
Следовательно, профессионально-ориентированное краеведение в высшей школе должно представлять собой инкорпорированный профессионально-ориентированный краеведческий материал в ''другие учебные предметы'', который:
''во-первых, может служить источником для формирования научных понятий'';
''во-вторых, может использоваться в качестве примеров и иллюстраций для конкретизации изучения различных профессиональных явлений'';
в-третьих, должен открывать наибольшие возможности для практического применения приобретенных знаний;
в-четвертых, способствует формированию ценностей личности воспитуемого.
Халяпина Л.П. Методическая система формирования поликультурной языковой личности посредством интернет-коммуникации в процессе обучения иностранным языкам
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=834362]]*[ext[ссылка ар|https://new-disser.ru/_avtoreferats/01003318657.pdf]]
[[Содержание]]
[[hlp_ar 1]]
---
{{hlp_ar_s3_1}}* [[hlp_ar_s3_1]]
{{hlp_ar_s3_2}}* [[hlp_ar_s3_2]]
{{hlp_ar_s3_3}}* [[hlp_ar_s3_3]]
{{hlp_ar_s3_4}}* [[hlp_ar_s3_4]]
{{hlp_ar_s3_5}}* [[hlp_ar_s3_5]]
{{hlp_ar_s3_6}}* [[hlp_ar_s3_6]]
{{hlp_ar_s3_7}}* [[hlp_ar_s3_7]]
{{hlp_ar_s3_8}}* [[hlp_ar_s3_8]]
[[стр. 3|hlp_ar_s3]]
{{hlp_ar_s4_1}}* [[hlp_ar_s4_1]]
{{hlp_ar_s4_2_1}}* [[hlp_ar_s4_2_1]]
{{hlp_ar_s4_2_2}}* [[hlp_ar_s4_2_2]]
{{hlp_ar_s4_2_3}}* [[hlp_ar_s4_2_3]]
{{hlp_ar_s4_2_4}}* [[hlp_ar_s4_2_4]]
{{hlp_ar_s4_3_1}}* [[hlp_ar_s4_3_1]]
{{hlp_ar_s4_3_2}}* [[hlp_ar_s4_3_2]]
{{hlp_ar_s4_3_3}}* [[hlp_ar_s4_3_3]]
*{ {hlp_ar_s4}}* [[стр. 4|hlp_ar_s4]]
{{hlp_ar_s5_1_1}}*[[hlp_ar_s5_1_1]]
{{hlp_ar_s5_1_2}}*[[hlp_ar_s5_1_2]]
{{hlp_ar_s5_2}}*[[hlp_ar_s5_2]]
{{hlp_ar_s5_3_1}}*[[hlp_ar_s5_3_1]]
{{hlp_ar_s5_3_2}}*[[hlp_ar_s5_3_2]]
{{hlp_ar_s5_3_3}}*[[hlp_ar_s5_3_3]]
{{hlp_ar_s5_3_4}}*[[hlp_ar_s5_3_4]]
*{ {hlp_ar_s5}}* [[стр. 5|hlp_ar_s5]]
{{hlp_ar_s6_1}}*[[hlp_ar_s6_1]]
{{hlp_ar_s6_2}}*[[hlp_ar_s6_2]]
{{hlp_ar_s6_3}}*[[hlp_ar_s6_3]]
{{hlp_ar_s6_4}}*[[hlp_ar_s6_4]]
{{hlp_ar_s6_5}}*[[hlp_ar_s6_5]]
{{hlp_ar_s6_6_1}}*[[hlp_ar_s6_6_1]]
{{hlp_ar_s6_6_2}}*[[hlp_ar_s6_6_2]]
{{hlp_ar_s6_6_3}}*[[hlp_ar_s6_6_3]]
*{ {hlp_ar_s6}}* [[hlp_ar_s6]]
{{hlp_ar_s7_1_1}}*[[hlp_ar_s7_1_1]]
{{hlp_ar_s7_1_2}}*[[hlp_ar_s7_1_2]]
{{hlp_ar_s7_2_1}}*[[hlp_ar_s7_2_1]]
{{hlp_ar_s7_2_2}}*[[hlp_ar_s7_2_2]]
{{hlp_ar_s7_2_3}}*[[hlp_ar_s7_2_3]]
{{hlp_ar_s7_2_4}}*[[hlp_ar_s7_2_4]]
{{hlp_ar_s7_2_5}}*[[hlp_ar_s7_2_5]]
{{hlp_ar_s7_2_6}}*[[hlp_ar_s7_2_6]]
{{hlp_ar_s7_2_7}}*[[hlp_ar_s7_2_7]]
{{hlp_ar_s7_2_8}}*[[hlp_ar_s7_2_8]]
{{hlp_ar_s7_2_9}}*[[hlp_ar_s7_2_9]]
{{hlp_ar_s7_2_10}}*[[hlp_ar_s7_2_10]]
{{hlp_ar_s7_3}}*[[hlp_ar_s7_3]]
{{hlp_ar_s7_4}}*[[hlp_ar_s7_4]]
*{ {hlp_ar_s7}}* [[стр 7|hlp_ar_s7]]
{{hlp_ar_s9_1_1}}*[[hlp_ar_s9_1_1]]
{{hlp_ar_s9_1_2}}*[[hlp_ar_s9_1_2]]
{{hlp_ar_s9_2}}*[[hlp_ar_s9_2]]
{{hlp_ar_s9_3_1}}*[[hlp_ar_s9_3_1]]
{{hlp_ar_s9_3_2}}*[[hlp_ar_s9_3_2]]
{{hlp_ar_s9_3_2_1}}*[[hlp_ar_s9_3_2_1]]
{{hlp_ar_s9_3_2_2}}*[[hlp_ar_s9_3_2_2]]
{{hlp_ar_s9_3_2_3}}*[[hlp_ar_s9_3_2_3]]
{{hlp_ar_s9_3_2_4}}*[[hlp_ar_s9_3_2_4]]
*{ {hlp_ar_s9}}* [[стр. 9|hlp_ar_s9]]
{{hlp_ar_s10_1_1_1}}*[[hlp_ar_s10_1_1_1]]
{{hlp_ar_s10_1_2}}*[[hlp_ar_s10_1_2]]
{{hlp_ar_s10_1_2_1}}*[[hlp_ar_s10_1_2_1]]
{{hlp_ar_s10_1_2_2}}*[[hlp_ar_s10_1_2_2]]
{{hlp_ar_s10_1_2_3}}*[[hlp_ar_s10_1_2_3]]
{{hlp_ar_s10_1_2_4}}*[[hlp_ar_s10_1_2_4]]
{{hlp_ar_s10_1_2_5}}*[[hlp_ar_s10_1_2_5]]
{{hlp_ar_s10_1_3}}*[[hlp_ar_s10_1_3]]
{{hlp_ar_s10_1_3_1}}*[[hlp_ar_s10_1_3_1]]
{{hlp_ar_s10_1_3_2}}*[[hlp_ar_s10_1_3_2]]
{{hlp_ar_s10_1_3_3}}*[[hlp_ar_s10_1_3_3]]
{{hlp_ar_s10_1_4}}*[[hlp_ar_s10_1_4]]
{{hlp_ar_s10_1_4_1}}*[[hlp_ar_s10_1_4_1]]
{{hlp_ar_s10_1_4_2}}*[[hlp_ar_s10_1_4_2]]
*{ {hlp_ar_s10}}* [[стр. 10 |hlp_ar_s10]]
{{hlp_ar_s11_1_1_1}}*[[hlp_ar_s11_1_1_1]]
{{hlp_ar_s11_1_1_2}}*[[hlp_ar_s11_1_1_2]]
{{hlp_ar_s11_2}}*[[hlp_ar_s11_2]]
{{hlp_ar_s11_2_1}}*[[hlp_ar_s11_2_1]]
{{hlp_ar_s11_2_2}}*[[hlp_ar_s11_2_2]]
{{hlp_ar_s11_2_3}}*[[hlp_ar_s11_2_3]]
{{hlp_ar_s11_2_4}}*[[hlp_ar_s11_2_4]]
{{hlp_ar_s11_2_5}}*[[hlp_ar_s11_2_5]]
{{hlp_ar_s11_2_6}}*[[hlp_ar_s11_2_6]]
{{hlp_ar_s11_3}}*[[hlp_ar_s11_3]]
*{ {hlp_ar_s11}}* [[стр 11 |hlp_ar_s11]]
{{hlp_ar_s12_1}}*[[hlp_ar_s12_1]]
{{hlp_ar_s12_1_1}}*[[hlp_ar_s12_1_1]]
{{hlp_ar_s12_1_2}}*[[hlp_ar_s12_1_2]]
{{hlp_ar_s12_1_3}}*[[hlp_ar_s12_1_3]]
{{hlp_ar_s12_1_4}}*[[hlp_ar_s12_1_4]]
{{hlp_ar_s12_1_5}}*[[hlp_ar_s12_1_5]]
{{hlp_ar_s12_1_6}}*[[hlp_ar_s12_1_6]]
{{hlp_ar_s12_1_7}}*[[hlp_ar_s12_1_7]]
{{hlp_ar_s12_2}}*[[hlp_ar_s12_2]]
{{hlp_ar_s12_2_1}}*[[hlp_ar_s12_2_1]]
{{hlp_ar_s12_2_2}}*[[hlp_ar_s12_2_2]]
{{hlp_ar_s12_2_3}}*[[hlp_ar_s12_2_3]]
*{ {hlp_ar_s12}}* [[стр 12 |hlp_ar_s12]]
{{hlp_ar_s13_1}}* [[hlp_ar_s13_1]]
*{ {hlp_ar_s14}}* [[hlp_ar_s14]]
*{ {hlp_ar_s15}}* [[hlp_ar_s15]]
*{ {hlp_ar_s16}}* [[hlp_ar_s16]]
*{ {hlp_ar_s17}}* [[hlp_ar_s17]]
*{ {hlp_ar_s18}}* [[hlp_ar_s18]]
*{ {hlp_ar_s19}}* [[hlp_ar_s19]]
*{ {hlp_ar_s20}}* [[hlp_ar_s20]]
*{ {hlp_ar_s21}}* [[hlp_ar_s21]]
*{ {hlp_ar_s22}}* [[hlp_ar_s22]]
*{ {hlp_ar_s23}}* [[hlp_ar_s23]]
*{ {hlp_ar_s24}}* [[hlp_ar_s24]]
*{ {hlp_ar_s25}}* [[hlp_ar_s25]]
*{ {hlp_ar_s26}}* [[hlp_ar_s26]]
*{ {hlp_ar_s27}}* [[hlp_ar_s27]]
*{ {hlp_ar_s28}}* [[hlp_ar_s28]]
*{ {hlp_ar_s29}}* [[hlp_ar_s29]]
*{ {hlp_ar_s30}}* [[hlp_ar_s30]]
*{ {hlp_ar_s31}}* [[hlp_ar_s31]]
[[Халяпина Л.П.]] [[Методическая система формирования поликультурной языковой личности посредством интернет-коммуникации в процессе обучения иностранным языкам]]
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=834362]]*[ext[ссылка ар|https://new-disser.ru/_avtoreferats/01003318657.pdf]]
[[Содержание]]
[[hlp_ar]]
---
!! ''Методическая система формирования поликультурной языковой личности посредством интернет-коммуникации в процессе обучения иностранным языкам''
''Цель исследования'' - разработка теоретических основ методической системы формирования поликультурной языковой личности посредством Интернет-коммуникации и практическая реализация этой системы в языковом вузе.
@@color:red; ''Предметом исследования'' является методика формирования структурных компонентов поликультурной языковой личности посредством различных видов Интернет-коммуникации, @@ обеспечивающей постоянное и опосредованное реальное взаимодействие с представителями разных языков и культур.
''Объект исследования'' - процесс обучения иностранным языкам в языковом вузе как процесс поэтапного формирования поликультурной языковой личности.
---
PrimYu { {hlp_ar_s6_3}}*{ {hlp_ar_s6_5}}*{ {hlp_ar_s6_4}}
---
*[[научная новизна |hlp_ar 1 nn]]
*[[на защиту выносятся |hlp_ar 1 nzv]]
*[[гипотеза |hlp_ar 1 gipoteza]]
*[[задачи |hlp_ar 1 zadachi]]
*[[теоретическая значимость|hlp_ar 1 tzi]]
*[[практическая значимость|hlp_ar 1 pzi]]
*[[материал для размышления|hlp_ar_mdr]]
{{hlp_ar_s6_6_1}}
{{hlp_ar_s6_6_2}}
{{hlp_ar_s6_6_3}}
{{hlp_ar_s7_1_1}}
{{hlp_ar_s7_1_2}}
{{hlp_ar_s11_2}}
{{hlp_ar_s11_2_1}}
{{hlp_ar_s11_2_2}}
{{hlp_ar_s11_2_3}}
{{hlp_ar_s11_2_4}}
{{hlp_ar_s11_2_5}}
{{hlp_ar_s11_2_6}}
{{hlp_ar_s9_3_1}}
{{hlp_ar_s9_3_2}}
{{hlp_ar_s9_3_2_1}}
{{hlp_ar_s9_3_2_2}}
{{hlp_ar_s9_3_2_3}}
{{hlp_ar_s9_3_2_4}}
{{hlp_ar_s10_1_1_1}}
{{hlp_ar_s10_1_2}}
{{hlp_ar_s10_1_2_1}}
{{hlp_ar_s10_1_2_2}}
{{hlp_ar_s10_1_2_3}}
{{hlp_ar_s10_1_2_4}}
{{hlp_ar_s10_1_2_5}}
{{hlp_ar_s10_1_3}}
{{hlp_ar_s10_1_3_1}}
{{hlp_ar_s10_1_3_2}}
{{hlp_ar_s10_1_3_3}}
{{hlp_ar_s10_1_4}}
{{hlp_ar_s10_1_4_1}}
{{hlp_ar_s10_1_4_2}}
{{hlp_ar_s11_1_1_1}}
{{hlp_ar_s11_1_1_2}}
{{hlp_ar_s12_2}}
{{hlp_ar_s12_2_1}}
{{hlp_ar_s12_2_2}}
{{hlp_ar_s12_2_3}}
{{hlp_ar_s13_1}}
{{hlp_ar_s11_3}} {{hlp_ar_s12_1}}
{{hlp_ar_s12_1_1}}
{{hlp_ar_s12_1_2}}
{{hlp_ar_s12_1_3}}
{{hlp_ar_s12_1_4}}
{{hlp_ar_s12_1_5}}
{{hlp_ar_s12_1_6}}
{{hlp_ar_s12_1_7}}
{{hlp_ar_s7_2_1}}
{{hlp_ar_s7_2_2}}
{{hlp_ar_s7_2_3}}
{{hlp_ar_s7_2_4}}
{{hlp_ar_s7_2_5}}
{{hlp_ar_s7_2_6}}
{{hlp_ar_s7_2_7}}
{{hlp_ar_s7_2_8}}
{{hlp_ar_s7_2_9}}
{{hlp_ar_s7_2_10}}
{{hlp_ar_s7_3}}*[[hlp_ar_s7_3]]
{{hlp_ar_s7_4}}*[[hlp_ar_s7_4]]
{{hlp_ar_s9_1_1}}*[[hlp_ar_s9_1_1]]
{{hlp_ar_s9_1_2}}*[[hlp_ar_s9_1_2]]
{{hlp_ar_s9_2}}*[[hlp_ar_s9_2]]
*{{hlp_ar_s14}}* [[hlp_ar_s14]]
*{{hlp_ar_s15}}* [[hlp_ar_s15]]
*{{hlp_ar_s16}}* [[hlp_ar_s16]]
*{{hlp_ar_s17}}* [[hlp_ar_s17]]
*{{hlp_ar_s18}}* [[hlp_ar_s18]]
*{{hlp_ar_s19}}* [[hlp_ar_s19]]
*{{hlp_ar_s20}}* [[hlp_ar_s20]]
*{{hlp_ar_s21}}* [[hlp_ar_s21]]
*{{hlp_ar_s22}}* [[hlp_ar_s22]]
*{{hlp_ar_s23}}* [[hlp_ar_s23]]
*{{hlp_ar_s24}}* [[hlp_ar_s24]]
*{{hlp_ar_s25}}* [[hlp_ar_s25]]
*{{hlp_ar_s26}}* [[hlp_ar_s26]]
*{{hlp_ar_s27}}* [[hlp_ar_s27]]
*{{hlp_ar_s28}}* [[hlp_ar_s28]]
*{{hlp_ar_s29}}* [[hlp_ar_s29]]
*{{hlp_ar_s30}}* [[hlp_ar_s30]]
*{{hlp_ar_s31}}* [[hlp_ar_s31]]
{{hlp_ar_s10_1_1_1}}*[[hlp_ar_s10_1_1_1]]
{{hlp_ar_s10_1_2}}*[[hlp_ar_s10_1_2]]
{{hlp_ar_s10_1_2_1}}*[[hlp_ar_s10_1_2_1]]
{{hlp_ar_s10_1_2_2}}*[[hlp_ar_s10_1_2_2]]
{{hlp_ar_s10_1_2_3}}*[[hlp_ar_s10_1_2_3]]
{{hlp_ar_s10_1_2_4}}*[[hlp_ar_s10_1_2_4]]
{{hlp_ar_s10_1_2_5}}*[[hlp_ar_s10_1_2_5]]
{{hlp_ar_s10_1_3}}*[[hlp_ar_s10_1_3]]
{{hlp_ar_s10_1_3_1}}*[[hlp_ar_s10_1_3_1]]
{{hlp_ar_s10_1_3_2}}*[[hlp_ar_s10_1_3_2]]
{{hlp_ar_s10_1_3_3}}*[[hlp_ar_s10_1_3_3]]
{{hlp_ar_s10_1_4}}*[[hlp_ar_s10_1_4]]
{{hlp_ar_s10_1_4_1}}*[[hlp_ar_s10_1_4_1]]
{{hlp_ar_s10_1_4_2}}*[[hlp_ar_s10_1_4_2]]
10
представляет собой наиболее эффективное средство формирования поликультурной языковой личности, поскольку специфические жанры Интернет-дискурса (web- сайты, асинхронные и синхронные chat-конференции, электронная почта) обеспечивают познание концептосфер представителей поликультурного мира.
2. Формирование поликультурной языковой личности основывается на следующих принципах:
• принципе ориентации на познание и учет концептосфер разных культур,
• принципе интеграции обучения и реальной коммуникации с представителями поликультурного мира,
• принципе осознания глобального и самобытного в личности,
• принципе автономии и самостоятельности личности в обучении,
• принципе проблемно-ориентированного познания.
3. Процесс формирования поликультурной языковой личности должен осуществляться в условиях специально разработанной методической системы, обеспечивающей единство взаимосвязанных компонентов, которые приобретают новое наполнение:
• целевой компонент: формирование поликультурной языковой личности (на уровне компетентностей);
• содержательный компонент: знания, умения и способности в структуре компетенций поликультурной языковой личности; языковой и текстовый материал, отобранный в Интернет-среде в виде различных жанров Интернет-дискурса и накопленный в «языковом портфеле» каждого студента; темы, формулируемые студентами совместно с преподавателем в виде проблемы и акцентирующие внимание на исследовании концепта;
• процессуальный компонент: технология сопоставительного концептуального анализа, которая направлена на изучение и сравнение признаков одного и того же концепта в разных лингвокультурах; технология интерактивного обучения, обеспечивающая взаимодействие студентов с представителями поликультурного мира и друг с другом; технология создания «языкового портфеля», обеспечивающая тщательную работу с языковым материалом; основная форма деятельности - поисковая и исследовательская деятельность студентов в Интернет-среде (поиск языковых материалов, исследование способов языковой объективации концептов).
4 Дидактический комплекс, направленный на реализацию методической системы формирования поликультурной языковой личности основан на последовательности этапов и междисциплинарной стратегии обучения:
1) подготовительный этап (знакомство с теорией концептуального анализа, с жанрами Интернет-дискурса);
2) этап интерактивного обучения (исследование ключевых значений концепта на основе способов лексической репрезентации);
{{hlp_ar_s11_1_3}}*[[hlp_ar_s11_1_3]]
{{hlp_ar_s11_1_4}}*[[hlp_ar_s11_1_4]]
{{hlp_ar_s11_2}}*[[hlp_ar_s11_2]]
{{hlp_ar_s11_2_1}}*[[hlp_ar_s11_2_1]]
{{hlp_ar_s11_2_2}}*[[hlp_ar_s11_2_2]]
{{hlp_ar_s11_2_3}}*[[hlp_ar_s11_2_3]]
{{hlp_ar_s11_2_4}}*[[hlp_ar_s11_2_4]]
{{hlp_ar_s11_2_5}}*[[hlp_ar_s11_2_5]]
{{hlp_ar_s11_2_6}}*[[hlp_ar_s11_2_6]]
{{hlp_ar_s11_3}}*[[hlp_ar_s11_3]]
11
3) этап самостоятельной и поисковой деятельности на основе разных жанров Интернет-дискурса (исследование интерпретационного поля концепта на основе web-сайтов, форумов, chat-конференции);
4) этап творческого представления результатов самостоятельной деятельности (анализ сходств и различий признаков концепта в разных лингвокультурах).
''Научная новизна исследования заключается в следующем:''
• @@color:red; В научно-методическую парадигму введен термин «поликультурная языковая личность», дано его авторское определение, доказано значение данной категории в системе обучения иностранным языкам @@ .
• Осуществлена разработка модели поликультурной языковой личности на основе совокупности компетентностей: поликонцептуальной, полилингвистической, коммуникационно-технологической; описаны структура и содержание каждой компетентности (компетенции, знания, умения, способности).
• Сформулирована концепция формирования поликультурной языковой личности, в основу которой положены установленные и описанные в диссертации принципы, а именно: ориентации на познание и учет концептосфер разных культур, интеграции обучения и реальной коммуникации с представителями поликультурного мира, осознания глобального и самобытного в личности, автономии и самостоятельности личности в обучении, проблемно-ориентированного познания.
• Разработана методическая система формирования поликультурной языковой личности, включающая новое наполнение целевого, содержательного, процессуального и результативного компонентов, реализуемых в процессе обучения иностранным языкам.
• Исследованы возможности коммуникативной среды Интернет в качестве средства формирования поликультурной языковой личности, соотнесены возможности разных жанров Интернет-дискурса с этапами формирования компетентностей в структуре поликультурной языковой личности.
• Создан учебно-методический комплекс, обеспечивающий реализацию методической системы формирования поликультурной языковой личности, определены эффективные технологии, предложена система упражнений, ориентированных на формирование знаний, умений и способностей в структуре компетенций в рамках компетентностей.
''Теоретическая значимость исследования'' определяется научной новизной и результатами предпринятого исследования, идентифицирующего лингвистические, психолингвистические и психологические проблемы, связанные с дальнейшим развитием методики обучения иностранным языкам, и предложившего пути их решения в частности в виде концепции
{{hlp_ar_s12_1}}*[[hlp_ar_s12_1]]
{{hlp_ar_s12_1_1}}*[[hlp_ar_s12_1_1]]
{{hlp_ar_s12_1_2}}*[[hlp_ar_s12_1_2]]
{{hlp_ar_s12_1_3}}*[[hlp_ar_s12_1_3]]
{{hlp_ar_s12_1_4}}*[[hlp_ar_s12_1_4]]
{{hlp_ar_s12_1_5}}*[[hlp_ar_s12_1_5]]
{{hlp_ar_s12_1_6}}*[[hlp_ar_s12_1_6]]
{{hlp_ar_s12_1_7}}*[[hlp_ar_s12_1_7]]
{{hlp_ar_s12_2}}*[[hlp_ar_s12_2]]
{{hlp_ar_s12_2_1}}*[[hlp_ar_s12_2_1]]
{{hlp_ar_s12_2_2}}*[[hlp_ar_s12_2_2]]
{{hlp_ar_s12_2_3}}*[[hlp_ar_s12_2_3]]
12
формирования поликультурной языковой личности посредством Интернет-коммуникации, в рамках которой:
- систематизированы методические исследования по теории языковой личности и вторичной языковой личности, отражающие современные направления обучения языку и культуре с точки зрения приобщения обучаемых к концептуальной картине мира носителей изучаемого языка;
- уточнены концептуальные положения о природе и структуре языковой личности;
- определены роль и место методической системы формирования поликультурной языковой личности в системе обучения иностранным языкам в языковом вузе;
- обобщены и систематизированы исходные психологические и лингвистические основания использования Интернет-коммуникации как одного из современных средств формирования поликультурной языковой личности;
- разработана совокупность принципов формирования поликультурной языковой личности в процессе обучения иностранным языкам;
- уточнены такие понятия, как «компетентностный подход», «сопоставительный концептуальный анализ», «технология интерактивного обучения», «уровни сформированности поликультурной языковой личности»;
- продемонстрированы возможности разработки междисциплинарной стратегии (включающей теоретические и практические курсы) формирования поликультурной языковой личности.
''Практическая значимость исследования'' определяется тем, что:
- создан инструментарий формирования поликультурной языковой личности, позволяющий преподавателю самостоятельно планировать, выстраивать и практически осуществлять процесс ее формирования в соответствии с уровнем подготовленности каждой конкретной группы, условиями обучения и т.д.;
- созданы система технологий и комплекс упражнений, представляющих собой процессуальный компонент методической системы формирования поликультурной языковой личности, которые позволяют использовать их в разных комбинациях в зависимости от конкретных условий обучения;
- разработан электронный учебно-методический комплекс, представленный на web-странице преподавателя, который интегрирует систему упражнений и ссылки на коммуникативные ресурсы Интернет, что позволит быстро и легко использовать разные жанры Интернет-дискурса в процессе обучения (электронный адрес web-страницы: www, internet. kemsu. ru/ projects/halap);
- теоретический и практический материал структурирован и описан таким образом, что может быть включен в курсы лекций и практических занятий как по теории методики обучения иностранным языкам, так и по практикуму речевого общения.
<center> ''Объем и структура диссертации'' </center>
Цели и задачи исследования определили его структурно-композиционное построение. Работа содержит 426 страниц текста и включает введение, пять глав, заключение, список использованной литературы, включающий 413 наименований и девять приложений.
<center> ''ОСНОВНОЕ СОДЕРЖАНИЕ РАБОТЫ'' </center>
''Во введении'' обосновывается актуальность темы исследования; определяются цель, объект и предмет диссертационной работы, формулируется гипотеза, определяются вытекающие из цели и гипотезы исследования задачи, описываются общая методологическая основа и методы исследования, определяются положения, выносимые на защиту, представляются результаты, полученные лично соискателем, их научная новизна, теоретическая и практическая значимость, обосновывается их достоверность.
''В первой главе «Концептуальные основы формирования поликультурной языковой личности в процессе обучения иностранным языкам в условиях глобального общества»'' рассмотрены теоретические основы, позволяющие ставить вопрос об актуальности и возможности формирования нового типа языковой личности в процессе обучения иностранным языкам.
Языковая личность стала объектом внимания теории и методики обучения иностранным языкам в связи с изменением парадигмы и идеологии лингвистических исследований. Лингвистика, как известно, всегда имела в качестве объекта исследования язык, который является одновременно и предметом обучения на занятиях по иностранному языку. Методика использовала и использует основные лингвистические понятия и закономерности и, прежде всего, данные сопоставительной лингвистики, ибо они определяют специфику объекта обучения. Все большая ориентация современной лингвистики на человека (Е.С.Кубрякова, P.M. Фрумкина, Ю.Д. Апресян и др.) потребовала пересмотреть методологические основы обучения иностранным языкам.
Обращение к проблеме языковой личности основано на теории антропоцентризма в гуманитарном знании в целом и антропологического подхода в языкознании в частности, рассматривающего концепт «языковая личность» в качестве основополагающего.
Основная идея антропологического подхода в языкознании базируется на понимании, познании человека через познание языка. При этом языковая личность рассматривается не как часть многогранного понимания, а как вид полноценно представленной, целостной личности, вмещающей в себя и психологический, и социальный, и этический, и др. компоненты, но преломленные через её язык, её дискурс (Караулов, 1987) 14
В качестве наиболее распространенных определений термина «языковая личность» в лингвистике можно привести следующие:
• языковая личность есть личность, выраженная в языке (текстах) и через язык, есть личность, реконструированная в основных своих чертах на базе языковых средств;
• языковая личность - это совокупность способностей и характеристик человека, обусловливающих создание и восприятие им речевых произведений (текстов), которые различаются а) степенью структурно-языковой сложности, б) глубиной и точностью отражения действительности, в) определенной целевой направленностью (Караулов, 1987).
Наряду с учетом тенденций в лингвистике методика обучения иностранным языкам во все времена строилась с учетом достижений психологии и связывала процесс обучения со становлением и развитием личности.
Методический аспект разработки понятия языковой личности можно соотнести с разработкой понятия «личность» в целом. Так, Ф.И. Буслаев строил методологические принципы своего труда «О преподавании отечественного языка» на представлениях о нерасторжимом единстве родного языка с личностью ученика: «Родной язык так сросся с личностью каждого, что учить оному значит вместе с тем и развивать духовные способности учащегося» (Буслаев, 1992).
В настоящее время в исследованиях по теории и методике обучения иностранным языкам наблюдается возрастание интереса к способам формирования языковой личности в процессе обучения языкам. Данное направление рассматривается как принципиально новый подход к преподаванию предметов языкового цикла. Вполне оправданным в данном случае является высказывание Ю.Н.Караулова: «До тех пор, пока модели обучения языку ограничиваются рамками системного представления самого языка и не вторгаются в структуру личности, языковой личности, они обречены оставаться чем-то внешним, чуждым по отношению к объекту обучения языку» (Караулов 1987).
Первым такой подход к обучению языкам разработал Г. И. Богин в 80-х годах XX в. Решая вопрос об успешности подготовки школьников по филологическим предметам (родной язык и литература, иностранный язык, готовность пользоваться устной и письменной речью в связи с изучением других предметов в школе, коммуницировать в разных ситуациях в соответствии с нормами речевого поведения и пр.), ученый пришел к заключению о необходимости иметь какой-то стабильный оценочный критерий, одновременно позволяющий и ориентироваться при построении систем обучающих действий. Ни язык, ни речь, по его мнению, сами по себе не могут служить таким критерием. Для решения данной проблемы было предложено ввести понятие «языковая личность», которая характеризовалась
15
как человек, рассматриваемый с точки зрения его готовности производить речевые поступки, создавать и принимать произведения речи, а компоненты языковой личности рассматривать в качестве оценочных критериев уровня владения языком.
Анализ современных подходов к теории языковой личности показывает, методика обучения иностранным языкам нацелена на научное обоснование различных моделей формирования языковой личности в условиях обучения и, следовательно, предметом её интересов является языковая личность как цель обучения, а также процесс «передачи» и развития способности к речевому общению на изучаемом языке.
Важным для современной методической науки является вывод о том, что в отрыве от языковой личности, без учета её многоуровневой организации, без обращения к принципам формирования и структуры, невозможно создать эффективную модель обучения языку.
Далее в диссертации исследуются вопросы трансформации концепта «языковая личность» в теории и методике обучения иностранным языкам. Так, в первой интерпретации языковой личности акцент делался на речевой способности личности. Достоинством данного подхода к обучению языкам было то, что впервые в качестве цели обучения языкам было заявлено не овладение языковой системой, отдельными знаниями, умениями и навыками в использовании языка, а формирование языковой личности, обладающей комплексом умений и способностей к осуществлению речевых поступков. Вместе с тем рассмотрение концепта «языковая личность» безотносительно когнитивного аспекта языковой личности при решении задач подготовки студентов к ситуации межкультурной коммуникации стало недостаточным.
Современная теория и методика обучения иностранным языкам далеко продвинулась в понимании и разработке структуры и содержания языковой личности. В этих целях в методической науке развивается новое направление - формирование «вторичной» языковой личности, которая определяется как совокупность способностей человека к иноязычному общению на межкультурном уровне, под которым понимается адекватное взаимодействие с представителями других культур.
Как справедливо отмечает Н.Д.Гальскова, поскольку процесс становления вторичной языковой личности связан не только с овладением обучающимся вербальным кодом иностранного языка и умением его использовать практически в общении, но и с формированием в его сознании "картины мира", свойственной носителю этого языка как представителю определенного социума, то обучение иностранному языку должно быть направлено на приобщение (обучаемых) к концептуальной системе чужого лингвосоциума (Гальскова, 2004).
Несмотря на то, что термин «вторичная языковая личность» достаточно широко встречается в современной научной литературе по психолингвистике, межкультурной коммуникации и методике обучения 16
иностранным языкам (В.И. Карасик, М.К. Колкова, О.А. Леонтович, Г.В. Елизарова, И.И. Халеева К. Хитрик, и др.), теория формирования вторичной языковой личности не имеет однозначных толкований.
Концепт «вторичная языковая личность», введенный в отечественную методику И.И. Халеевой, означающий в широком контексте языковую личность, формирование которой происходит в процессе обучения иностранному языку, имеет специфическую трактовку при более узком рассмотрении в теории и методике обучения иностранным языкам.
Современная интерпретация концепта «вторичная языковая личность» базируется на приобщении через иностранный язык не только к вторичной языковой системе инофонной лингвокультуры, но и концептуальной картине мира, в рамках которой происходит становление национального характера и национального менталитета носителя языка. Иными словами, вторичная языковая личность есть совокупность черт человека, которая складывается из овладения вербально-семантическим кодом изучаемого языка, то есть «языковой картиной мира» носителей этого языка, и концептуальной картиной мира, позволяющей человеку понять новую для него социальную действительность
Развитие у обучаемого свойств «вторичной языковой личности», позволяющих ему быть эффективным участником межкультурной коммуникации, и есть собственно стратегическая цель обучения иностранному языку на современном этапе. Реализовать данную цель - значит не только развивать у обучаемого умения пользоваться соответствующей иноязычной «техникой», но и «вооружать» его колоссальной внеязыковой информацией, необходимой для адекватного общения и взаимопонимания на межкультурном уровне, а также развивать в нем качества, позволяющие осуществлять непосредственное и опосредованное общение с представителями иных культур (Гальскова, 2004). При этом важно, чтобы обучаемые научились понимать эти различия, могли распознавать и интерпретировать мотивы и установки личности, принадлежащей чужой общности, где действует иная система ценностей.
В основе данного подхода к обучению иностранным языкам лежат исследования в области методики, лингвокультурологии и межкультурной коммуникации, обосновывающие идею о том, что возможность общения между носителями языка и «неносителями» в значительной степени усложняется различиями в восприятии «картин мира» и расхождениями концептуальных сиртем разных социумов. Так, например, Е.Ф. Тарасов говорит: «Есть основание полагать, что главная причина непонимания при межкультурном общении - не различие языков, сформировать навыки говорения (письма) и слушания (чтения) сравнительно просто, а различие национальных сознаний коммуникантов» (Тарасов, 1996).
Задача методики обучения иностранным языкам в рамках данной теории заключается в том, чтобы научить носителя образа мира одной
17
социально-культурной общности понимать носителя иного языкового образа мира.
В качестве обобщающего итога по результатам исследования теории языковой личности и вторичной языковой личности в диссертации делается вывод о том, что их интерпретация, теоретическое исследование и практическая реализация не стоят на месте. Трансформация понятия «языковая личность» объясняется как новыми достижениями базовых наук (лингвистики, психолингвистики), так и изменениями окружающего нас социума, тех требований, которые общество предъявляет к системе обучения иностранным языкам на каждом новом этапе своего развития.
Ситуация глобализации вызывает необходимость пересмотра подходов к обучению иностранным языкам именно в свете поликультурной направленности процесса формирования языковой личности.
Процесс глобализации влечет за собой серьезные изменения в сфере культуры, внутри которой также начинают формироваться определенные глобальные явления и процессы. Появляется термин "культурная глобализация" или «глобализация культур», который исследуется представителями различных научных направлений. В частности, ученых интересуют вопросы о том, что же происходит с различными культурами в условиях глобализирующегося мира, возможно ли сохранение многообразия культур, что необходимо предпринять для реализации принципа сосуществования культур, и другие.
В понимании процесса глобализации произошел поворот от политики, основанной на идеалах всеобщего прогресса и развития, к политике мультикультурализма, суть которого состоит в позитивном отношении к наличию различных культурных групп, добровольной адаптации социальных институтов к их потребностям, а также в поддержке новых культурных идентичностей: этнических, национальных, религиозных и др.
В сложившихся условиях признается, что основным способом организации совместной жизни людей на нашей планете остается диалог. Точнее, диалог, основанный на плюрализме и партнерстве, на признании равенства культур. Вместе с тем сегодня проблема взаимодействия не может быть решена только на основе принятия принципа диалога, так как в условиях глобализации нелинейность и разноуровневость взаимодействий - огромный спектр межкультурных коммуникаций - образует сложную модель полилога культур.
Полилог культур в условиях глобализации - это не только взаимодействие по горизонтали, но и взаимодействие по вертикали (национальных и этнических культур), сложные "перекрестные" связи культур, развивающихся в рамках светских государств и территориальных сообществ, разделяющих разные религиозные убеждения; традиционных культур и культур постиндустриальных обществ, развивающих высокие технологии и т.д. Образующаяся сложная сетевая информационно-
18
коммуникативная структура собирается в целое не путем диалога между открытыми для взаимодействия культурами, а в режиме полилога множества разных культур, взаимодействующих по сетевому принципу. Диалогическая парадигма оказывается уже только частью процесса взаимодействия, ибо полилогичность сродни полифоничности, основанной на одновременном пересечении многообразных самостоятельных линий, но включенных в целое на равных правах и образующих это целое только в условиях взаимодействия (Астафьева, 2004).
В данной ситуации и сам процесс межкультурной коммуникации, предполагающий лишь диалог культур, не является достаточным и исчерпывающим для глобального мира. В сложившихся условиях мы считаем необходимым речь вести о поликультурной коммуникации, в процессе которой осуществляется полилог культур. Поликультурная коммуникация - это, по нашему мнению, качественно другой уровень межкультурной коммуникации. Если межкультурная коммуникация - это взаимодействие между родной культурой и культурой носителей изучаемого языка, то поликультурная коммуникация - это взаимодействие родной культуры с любой другой культурой, которое осуществляется посредством языка глобальной коммуникации - английского, либо посредством других языков.
В диссертации делается вывод о том, что процесс глобализации обостряет ситуацию всеобъемлющего взаимодействия поликультурного мира и вызывает необходимость решения вопросов эффективного сотрудничества представителей различных культур, в том числе и средствами иностранного языка.
Исходя из теории языковой личности, мы считаем, что в условиях сформировавшегося общества в большей степени востребована не вторичная языковая личность, которая в процессе обучения иностранным языкам приобщается лишь к концептуальной системе носителей второго (иностранного) языка, а поликультурная языковая личность, в которой сформирована способность и готовность взаимодействовать с представителями разных стран и культур.
Принимая точку зрения ученых, считающих, что для формирования языковой личности в большей степени важно приобщение не только к языковой, но и к концептуальной системе носителей другой культуры, можно сделать вывод о том, что в условиях глобализации общества перед системой обучения иностранным языкам ставится задача постижения концептуальных систем разных культур.
Соответственно, перед методикой обучения иностранным языкам встает задача сформировать такую языковую личность, которая бы обладала способностью средствами языка выявлять в каждом представителе иноязычной культуры характеристики плюралистической идентичности,
19
обладающей как универсальными параметрами, так и специфическими этнокультурными, социокультурными и индивидуально-культурными.
Сформировав такой тип языковой личности, мы подготовим ее к продуктивному участию в ситуации поликультурной коммуникации.
Вместе с тем, вполне очевидно, что формирование востребованной в новых условиях языковой личности не может ограничиться формированием отдельных способностей, знаний или умений. Необходим комплекс компетентностей и компетенций, который бы обеспечивал прагматический аспект коммуникации. Ориентация на результат освоения основных образовательных программ подготовки в компетентностной форме разрабатывается в настоящее время в рамках ФГОС-3 Советом по государственным образовательным стандартам при Министерстве образования и науки РФ. Предлагаемая структура ФГОС-3 включает в себя «Требования к результатам освоения основных образовательных программ», которые выражены в виде требований к общим, социальным и профессиональным компетенциям, а также знаниям, умениям и развитию личностных качеств обучаемых, обеспечивающим реализацию соответствующих компетенций (Материалы..., 2006).
Иначе говоря, исследование природы и определение структуры нового типа личности в диссертации разрабатывается с использованием такого передового научного инструментария как компетентностный подход, который рассматривается в данной работе в качестве одного из ведущих при формировании поликультурной языковой личности в процессе обучения иностранным языкам. Формирование компетенций в структуре языковой личности, а не изолированных знаний, умений и навыков, будет способствовать тому, что данная личность будет в большей степени подготовлена к современным условиям активного функционирования в обществе.
''Во второй главе «Поликультурная языковая личность в системе целеполагания (содержание, структура)»'' представлено обоснование и дана характеристика разработанной автором компетентностной модели поликультурной языковой личности, включающей в себя совокупность компетентностей и компетенций нового типа, необходимых для продуктивного взаимодействия с представителями различных культур глобального поликультурного общества.
В качестве общей характеристики поликультурной языковой личности, которая логически выводится из теории вторичной языковой личности, может быть определена ее способность овладевать компонентами концептуальных систем представителей разных языков и культур. Для того, чтобы понять сущность термина «поликультурная языковая личность», необходимо исследовать вопрос о том, какими видами концептуальных систем должна владеть эта личность, какие компоненты должны быть в ней сформированы с тем, чтобы она могла легко перемещаться из одной
20
концептуальной системы в другую, соотносить то общее и отличное, что есть между ними. Кроме того, решение этой достаточно сложной задачи требует ответов еще на ряд вопросов:
1) какие структурные единицы исследования концептуальных систем наиболее приемлемы в методических целях?
2) при помощи каких лингвистических средств и методов возможно изучение концептуальных систем в методических целях?
3) какой комплекс знаний, умений и способностей должен быть сформирован в структуре поликультурной языковой личности в процессе обучения иностранным языкам?
Ответы на эти вопросы можно получить, обратившись к положениям когнитивной лингвистики и лингвокультурологии, в которых накоплен значительный опыт изучения концептосферы носителей той или иной культуры посредством исследования концептов как единиц сознания человека с помощью лингвистических методов, то есть через языковые средства объективации концептов.
Когнитивная лингвистика изучает концепты через их языковую объективацию, моделируя структуру концепта на основе анализа значений всех объективирующих его языковых единиц. Подобное моделирование есть результат когнитивной интерпретации результатов лингвистического исследования.
Концептуальная система (в другой терминологии «концептосфера») рассматривается следующим образом:
- как совокупность концептов нации, образованную всеми потенциями концептов носителей языка (Лихачев, 1997);
- как тот ментальный уровень или та ментальная (психическая) организация, где сосредоточена совокупность всех концептов, данных уму человека, их упорядоченное объединение (Кубрякова, 1996);
- как система мнений и знаний о мире, отражающая познавательный опыт человека, притом как на доязыковом, так и на языковом уровне, но несводимой к какой бы то ни было лингвистической сущности. В качестве составляющей концептуальной системы рассматриваются отдельные смыслы, или концепты, сформированные в процессе познания мира и отражающие информацию об этом мире (Павиленис, 1986).
Культурные концепты могут классифицироваться по различным основаниям. Классифицированные по своим носителям концепты образуют индивидуальные, микрогрупповые, макрогрупповые, национальные, цивилизационные, общечеловеческие концептосферы (Лихачев, 1993; Карасик, 1996,2002).
Исходя из того, что единицей концептосферы является концепт, включающий все ментальные признаки того или иного явления, которые отражены сознанием народа на данном этапе его развития, мы считаем, что поликультурной можно будет назвать такую языковую личность, которая
21
посредством анализа языковых средств и речевого поведения сможет вычленить особенности концептосферы партнеров по коммуникации и в соответствии с их содержанием выбрать правильные коммуникативные стратегии. Следовательно, умение исследовать, а в последующем и овладевать концептосферами представителей разных культур, рассматривается нами в качестве важнейшего компонента в структуре поликультурной языковой личности. В диссертации сделан вывод о том, что введение в учебный процесс элементов исследования концептов, разработанных в трудах по когнитивной лингвистике, будет способствовать овладению концептуальными системами носителей того или иного языка и культуры.
Определение термина «поликультурная языковая личность» в свете акцентуации когнитивного компонента в её структуре средствами культурных концептов разного уровня, звучит следующим образом: @@color:red; ''поликультурная языковая личность - это личность, в структуре которой средствами иностранного языка сформирован такой комплекс компетенций, который позволяет ей ориентироваться в концептосферах универсального, этнокультурного, социокультурного и индивидуально-культурного типов, что обеспечивает развитие её готовности и способности к активному позитивному взаимодействию с представителями поликультурного мира.'' @@ Иначе говоря, поликультурная языковая личность владеет концептосферами собственной и других культур и способна на основе анализа языковых средств и речевого поведения определять содержание концептов, которыми оперирует партнер по коммуникации.
Исходя из того, что влияние глобального мира на человека в данной работе связывается с явлениями культурной глобализации, а компетенции в сфере культурных концептов разного уровня становятся системообразующим качеством данного типа общества, мы считаем, что в качестве основного требования к поликультурной языковой личности становится формирование поликонцептуальной составляющей её структуры, основанной на совокупности способностей, знаний и умений исследовать и интерпретировать концептуальные системы носителей других культур при помощи языковых средств. На основании того, что в теории концептосфер разработана четырехуровневая классификация концептуальных систем, поликонцептуальная компетентность подразделяется на четыре вида компетенций: на уровне универсальных, этнокультурных, социокультурных и индивидуально-культурных концептов.
Вместе с тем необходим и ряд других компетентностей. Исследование материалов Интернет-коммуникации, проведенное нами на основе международных форумов (исследовано более 100 различных форумов в программах yahoo.com, msn.com), позволяет сделать вывод о важности такого вида компетентности, как полилингвистическая, которая предполагает
22
либо владение английским языком как языком поликультурной (глобальной) коммуникации, либо (что более предпочтительно) владение несколькими иностранными языками. Полилингвистическая компетентность позволит студентам более глубоко исследовать признаки концептов и понимать специфику концептуальной системы представителей той или иной культуры.
Анализ коммуникации в условиях формирующегося глобального общества позволяет также заключить, что в настоящее время межкультурная и поликультурная коммуникации все более активно и интенсивно осуществляется в информационной среде Интернет, обеспечивающей вполне доступную связь со всем миром. Продуктивное участие в данной коммуникации требует от поликультурной языковой личности сформированности такой компетентности, как коммуникационно-технологическая (владение коммуникационными технологиями Интернет).
Комплексная модель поликультурной языковой личности представлена в таблице (см. табл. 1).
''В третьей главе «Психологическая, лингвистическая и культурологическая специфика Интернет-коммуникации как средства формирования поликультурной языковой личности»'' исследована такая коммуникативная реалия глобального мира как Интернет-коммуникация с точки зрения её применения в качестве одного из возможных средств формирования нового типа языковой личности.
Интернет-коммуникация представляет особый интерес для данного исследования, прежде всего, исходя из того, что это одна из перспективных из имеющихся на сегодняшний день возможностей обеспечить поликультурное взаимодействие и сотрудничество (Войскунский, 2004).
Интернет-коммуникацию мы рассматриваем как взаимодействие (интеракцию) людей поликультурного мира с помощью глобальной компьютерной Интернет - среды, содержанием которого является взаимное познание (перцепция) и обмен информацией (коммуникация); она включает как межличностную, так и одностороннюю коммуникацию. Психологические особенности Интернет-коммуникации, которые выявлены на основе анализа работ таких исследователей, как А.Е. Войскунского, Е.П. Белинской, А.Е. Жичкиной, И.С. Шевченко, Е. Reid, P. Kelly, S. Turkle и др., позволяют сделать вывод о том, что данный тип коммуникации располагает следующими возможностями для формирования поликультурной языковой личности в процессе обучения иностранным языкам:
1) отсутствие границ способствует осуществлению реальной поликультурной коммуникации с представителями разных культур, обеспечивая возможность как группового, так и межличностного взаимодействия по конкретно изучаемому вопросу;
23
[img[hlp_ar_tab1.png]]
24
2) отсутствие психологического риска за счет виртуального характера коммуникации позволяет студентам открыто выражать себя, используя при этом максимум языковых и речевых средств, разрабатывать и практически апробировать различные коммуникативные стратегии, способствующие установлению взаимопонимания с представителями других культур;
3) возможность конструирования собственной идентичности и изменения способов самопрезентации в среде Интернет играет важную роль в плане развития творческого подхода к языку, посредством которого осуществляются процессы самоактуализации языковой личности;
4) такая особенность Интернет-коммуникации, как сниженная чувствительность эмоционального воздействия, также благоприятно влияет на развитие лингвистического компонента поликультурной языковой личности, так как в этом случае актуализируется проблема сознательного и тщательного отбора языковых и речевых средств для достижения коммуникативных целей в ситуации практического отсутствия возможности применения паралингвистических и экстралингвистических средств коммуникации.
Ряд характеристик Интернет-дискурса как структурной единицы Интернет-коммуникации определяют его лингвистическую специфику, которая должна быть учтена в процессе обучения. Среди них следующие: расплывчатость границ между письменным и устным типами Интернет-дискурса, интенсивность дискурсивных образований в Интернете, специфика языкового существования в Интернет-среде.
Так, специфика Интернет-дискурса определяется присущим ему синтетическим устно-письменным характером речевой деятельности. Жанры Интернет-дискурса имеют разную степень выраженности этих характеристик: некоторые из них (например, web-сайты) имеют большую представленность характеристик письменной речи, в то время, как синхронные chat-конференции в большей степени наделены специфическими особенностями устной речи, и, наконец, есть жанры (электронная почта и асинхронная chat-конференции), которые в равной степени проявляют характеристики как устной, так и письменной речи. Специфические особенности речевой деятельности, характерные для разных жанров, должны быть учтены при формировании необходимых компетентностей и компетенций (в частности, полилингвистической) в структуре поликультурной языковой личности для продуктивного взаимодействия с представителями разных стран в условиях Интернет-среды.
В виртуальном пространстве одновременно и особым образом представлены самые различные дискурсы - политические, бытовые, литературные, публицистические, научные и т.д. Важен сам коммуникативный принцип полидискурсивности виртуального коммуникативного пространства. Следовательно, компьютерный дискурс становится полем дискурсопорождения, источником самых разнообразных дискурсивных образований, отличающихся огромной коммуникативной интенсивностью.
Осуществление взаимодействия с помощью компьютерных и телекоммуникационных технологий позволяет вывести лингвистическую и
25
поликультурную подготовку студентов на уровень активного, познавательного творчества, что, с одной стороны, расширяет потенциальные возможности их развития, а с другой стороны, способствует интеграции знаний и переработке информации по исследуемой проблеме.
Поликультурная специфика жанров Интернет-дискурса представлена тем, что все они либо содержат материалы, отражающие культуру разных стран (например, web-сайты), либо обеспечивают возможность прямого взаимодействия с представителями различных лингвокультур (форумы, chat-конференции), что позволяет «из первых рук» получать ответ на любой интересующий вопрос, самостоятельно исследовать проблему на изучаемом иностранном языке, что расширяет возможности постижения концептуальных систем других культур.
''Четвертая глава «Методическая система формирования поликультурной языковой личности в процессе обучения иностранным языкам» ''направлена на создание новой методической системы и рассмотрение специфики таких компонентов её структуры, как целевой, содержательный и процессуальный, в частности, описаны технологии применения различных видов Интернет-коммуникации в процессе формирования поликультурной языковой личности, разработана система упражнений.
Полноценное и комплексное формирование поликультурной языковой личности в процессе обучения иностранным языкам возможно лишь в условиях специально разработанной методической системы. Под методической системой формирования поликультурной языковой личности понимается совокупность взаимосвязанных компонентов - целей, принципов, содержания, методов, приемов и средств обучения - необходимых для создания целенаправленного педагогического взаимодействия субъектов образовательного процесса, направленного на формирование поликультурной языковой личности.
''Общая цель обучения '' - формирование поликультурной языковой личности в процессе обучения иностранным языкам.
Поэтапные цели - формирование определенного вида компетентности или входящих в её состав компетенций в структуре поликультурной языковой личности на каждом отдельном этапе. Например, формирование поликонцептуальной компетентности или компетенции в сфере современных информационных и коммуникационных технологий и т.д.
В качестве ''принципов'', на основе которых может осуществляться процесс формирования поликультурной языковой личности, востребованной в условиях глобального мира, определены следующие:
1) принцип ориентации на познание и учет концептосфер разных культур;
2) принцип интеграции обучения и реальной коммуникации с представителями поликультурного мира;
3) принцип осознания глобального и самобытного в личности;
4) принцип автономии и самостоятельности личности в обучении;
5) принцип проблемно-ориентированного познания.
26
В качестве ''содержательного компонента'' разработанной методической системы определены знания, умения и способности, как компоненты компетенций в структуре поликультурной языковой личности, подлежащей формированию в процессе обучения иностранным языкам, обеспечивающие возможность эффективной поликультурной коммуникации; языковой материал, текстовой материал, темы, упражнения.
//Языковой материал // включает, прежде всего, лингвистические единицы, репрезентирующие культурные концепты
@@color:red; //Темы//, сформулированные студентами совместно с преподавателем, варьировались в разных группах в зависимости от их интересов: "The role of money in our life" (акцент на исследовании концепта «деньги» в разных лингвокультурах), "Changing attitude to bad habits" (акцент на концепте «плохая привычка»), "Marriage of love or marriage of convenience?" (концепт «любовь»), "Surrogacy: is it the way out?" (концепты «родство», «материнство») и др. @@
@@color:red; ''Текстовый материал'' опирается на Интернет-дискурс, отражает различные аспекты культуры разных стран и включает только аутентичные образцы, частично представленные на персональной web странице преподавателя, частично отобранные самими студентами в процессе самостоятельной поисковой деятельности в Интернет-среде. @@
@@color:red; //Персональная web-страница преподавателя // является электронным учебно-методическим комплексом, на котором строится вся методическая система, и, которая позволяет интегрировать коммуникационные ресурсы Интернет в систему обучения. @@ Персональная web-страница преподавателя находится по адресу: www.internet.kemsu.ru/projccts/halap. На web-странице представлена тематика, языковой материал (теоретический и практический), рекомендованные как для теоретического изучения по спецкурсу «Интернет -коммуникация и обучение иностранным языкам», так и для практического овладения по курсу: «Практика основного иностранного языка». На web-страницу вынесена система упражнений для самостоятельной работы студентов, а также основные гиперссылки на ресурсы Интернета.
//Система упражнений//, которые называются полифункциональными, учитывая их разноплановую направленность, подразделяется на три разные группы. Первая группа - упражнения на овладение технологическими особенностями коммуникационных программ Интернет т.е. на формирование коммуникационно-технологической компетентности. В процессе обучения задействованы все .жанры Интернет-дискурса. Соответственно упражнения второй группы создавалась с учетом языковых и речевых особенностей различных жанров и были направлены на формирование полилингвистической компетентности. Вторая группа упражнений называется «упражнения на овладение лингвистическими особенностями разных жанров Интернет-дискурса» и включает в себя следующие типы: 1) упражнения на овладение лингвистическими особенностями web- сайтов, форумов; 2) упражнения на овладение лингвистическими особенностями синхронной chat - конференции.
Третья группа - упражнения на понимание сходств и различий на уровне концептуальных систем разных культур - подразделяется на три разных типа:
27
1) упражнения на поиск и исследование способов лексической репрезентации концепта (исследование толковых и энциклопедических словарей) в целях изучения ядерного уровня концепта в сопоставляемых лингвокультурах;
2) упражнения на поиск и исследование дискурса различных лингвокультур, представленного на web-сайтах, в целях изучения интерпретационного поля концепта;
3) упражнения на исследование материалов реальной коммуникации, представленных в Интернет-форумах и chat- конференциях, в целях расширенного изучения интерпретационного поля концепта и его сочетаемостных особенностей.
Упражнения этой группы ориентированы на формирование поликонцептуальной компетентности. Процессуальный компонент разработанной методической системы включает в себя ряд технологий обучения, способствующих реализации целей обучения.
Разработанная методическая система реализуется на основе актуального в настоящее время коммуникативно-деятельностного метода обучения. Данный выбор сделан на основании того, что формирование поликультурной языковой личности осуществляется в процесс коммуникативной деятельности, которая осуществляется главным образом в Интернете.
Ведущей формой обучения рассматривается самостоятельная поисковая и исследовательская деятельность студентов, направленная на поиск языковых и речевых материалов в информационной поликультурной среде Интернет, на исследование смысловых значений концептов в разных лингвокультурах. Важным компонентом разрабатываемой методической системы является технология сопоставительного концептуального анализа, в которой учтены результаты концептуальных лингвистических исследований, составившие основу методических рекомендаций по осуществлению концептуального анализа в лингводидактических целях - а именно в целях формирования поликультурной языковой личности. Учебный вариант сопоставительного концептуального анализа можно представить в следующем виде (табл. 2):
<center> [img[hlp_ar_tab2.png]] </center>
28
<center> [img[hlp_ar_tab2_2.png]] </center>
В качестве следующей технологии, занимающей важное место в методической системе, рассматривается технология интерактивного обучения, которая предполагает взаимодействие студентов как с представителями разных культур в информационной среде Интернет, так и регулярную совместную деятельность в учебной аудитории.
Технология создания «языкового портфеля» также является важным компонентом в представляемой методической системе. В учебной ситуации, в которой преподаватель и студент совместно разрабатывают содержательный аспект обучения, исследуют контекст и участвуют в реальной коммуникации, оценка знаний студентов не может осуществляться только посредством традиционного теста. Оценка должна учитывать, насколько сознательное обучение и процесс самостоятельного поиска и открытия повлияли на выполнение заданий. В данной ситуации прогресс студентов оценивается по их участию в дискуссиях и по письменным работам, которые выполняются и оцениваются в соответствии с критериями технологии portfolio (языковой портфель), в котором накапливаются материалы, собранные и проанализированные студентами по результатам их участия в работе коммуникационных программ Интернет.
Комплексная методическая система, разработанная автором и внедренная в процессе данного исследования, представлена в таблице (см. табл.3). В пятой главе «Методика экспериментального обучения, направленного на формирование поликультурной языковой личности посредством Интернет-коммуникации» представлено доказательство результативности предложенной методической системы на основе экспериментального обучения, проведенного на базе Кемеровского государственного университета.
29
*{{hlp_ar_s3_1}}* [[hlp_ar_s3_1]]
*{{hlp_ar_s3_2}}* [[hlp_ar_s3_2]]
*{{hlp_ar_s3_3}}* [[hlp_ar_s3_3]]
*{{hlp_ar_s3_4}}* [[hlp_ar_s3_4]]
*{{hlp_ar_s3_5}}* [[hlp_ar_s3_5]]
*{{hlp_ar_s3_6}}* [[hlp_ar_s3_6]]
*{{hlp_ar_s3_7}}* [[hlp_ar_s3_7]]
*{{hlp_ar_s3_8}}* [[hlp_ar_s3_8]]
3
<center> ''ОБЩАЯ ХАРАКТЕРИСТИКА ДИССЕРТАЦИИ '' </center>
Наиболее значимыми характеристиками XXI века, которые не могут не сказаться на системе обучения иностранным языкам, являются глобализация и информатизация. Происходит многоаспектное сближение стран и народов, становление единого взаимозависимого мира, получившего название глобального или глобализирующегося, в рамках которого расширяются экономические, политические и культурные связи между странами.
В данных условиях изменяется само общество. Оно становится поликультурным, для которого характерно как развитие ряда универсальных, глобальных характеристик, так и сохранение самобытности культуры каждой отдельно взятой этнической группы.
В области языкового образования в условиях реальных контактов студентов и будущих специалистов с носителями многочисленных культур посредством изученных в вузе языков встает задача формирования личности нового типа.
Построение модели личности нового типа, востребованной современным обществом для прогрессивного, неразрушительного, но гармоничного и созидательного развития, позволяет разработать систему формирования такой личности в процессе изучения ею иностранных языков.
Определение требуемых качеств личности посредством исследования и учета потребностей общения, выработка методик их формирования в процессе обучения иностранным языкам выдвигаются как первоочередные цели образовательного процесса в этой области. Соответственно целью обучения иностранным языкам определяется не набор конкретных умений, не получение отдельных знаний о культуре страны изучаемого языка, а формирование такой языковой личности, которая будет способна к активной и продуктивной жизнедеятельности в глобальном поликультурном обществе. Мы предлагаем назвать данную языковую личность поликультурной.
Необходимость формирования поликультурной языковой личности продиктована именно условиями глобального мира, для эффективного функционирования в котором недостаточно изучать и понимать лишь культуру страны изучаемого языка (что характерно для существующей системы обучения иностранным языкам). Необходим принципиально иной подход к формированию языковой личности - подход, который базировался бы на когнитивном уровне осмысления как универсальных культурных концептов, имеющих общечеловеческую ценность, так и на понимании специфического культурного характера выражения данных концептов в различных этнокультурах.
Мы считаем, что исследование природы и определение структуры поликультурной языковой личности должны вестись, с одной стороны, с использованием самого передового научного инструментария (в частности,
Для того, чтобы проверить результативность разработанной методической системы, мы посчитали необходимым использовать перекрестную методику эксперимента, которая могла, по-нашему мнению, в максимальной степени @@color:red; обеспечить чистоту эксперимента@@ .
@@color:red; Суть перекрестного эксперимента заключается в отказе от твердо закрепленных на весь период обучения экспериментальных и контрольных групп. В ходе такого эксперимента, через некоторые промежутки времени одна и та же группа испытуемых переходит из разряда экспериментальных в разряд контрольных, и наоборот @@ .
Таким образом, в качестве ''варьируемых переменных'' для студентов ЭГ и КГ были обозначены следующие:
1) проведение занятий в разных типах аудиторий (КГ - в обычной аудитории; ЭГ - в специальном компьютерном классе, имеющем выход в Интернет;
2) обучение на основе разных учебников, разном языковом и речевом материале (КГ- традиционный учебник, ЭГ - электронный учебно-методический комплекс, представленный на web-странице преподавателя и обеспечивающий интеграцию обучения и реальной коммуникации с представителями разных культур;
3) разная методика обучения (КГ - традиционная методика обучения, ЭГ - обучение на основе специальной дидактической модели, предполагающей поэтапное исследование материалов различных жанров Интернет-дискурса).
''Неварьируемые переменные'':
1) обучение велось одним и тем же преподавателем;
2) обучение строилось на предварительном изучении теории концептуального анализа;
3) данные обрабатывались однотипным математическим аппаратом.
Все группы испытуемых при данной методике поставлены в равные условия, т.е. неварьируемые условия эксперимента для меняющихся местами групп остаются одинаковыми, различия же определяются задачей конкретной серии.
Таким образом, цель нашего экспериментального обучения заключалась в проверке методической системы формирования поликультурной языковой личности посредством Интернет-коммуникации, которая оценивалась в сравнении с результатами обучения по другой системе, а именно без использования Интернет-коммуникации. Особую ценность при этом приобретают результаты исследования, полученные путем сопоставления данных как между группами испытуемых (ЭГ и КГ), так и между данными, полученными в одной и той же группе испытуемых, обучавшейся в разных сериях эксперимента по разным методическим системам (в одном случае с использованием Интернет-коммуникации, в другом случае без них)
30
[img[hlp_ar_tab3.png]]
31
{{hlp_ar_s4_1}}* [[hlp_ar_s4_1]]
{{hlp_ar_s4_2_1}}* [[hlp_ar_s4_2_1]]
{{hlp_ar_s4_2_2}}* [[hlp_ar_s4_2_2]]
{{hlp_ar_s4_2_3}}* [[hlp_ar_s4_2_3]]
{{hlp_ar_s4_2_4}}* [[hlp_ar_s4_2_4]]
{{hlp_ar_s4_3_1}}* [[hlp_ar_s4_3_1]]
{{hlp_ar_s4_3_2}}* [[hlp_ar_s4_3_2]]
{{hlp_ar_s4_3_3}}* [[hlp_ar_s4_3_3]]
4
доминирующего компетентностного подхода в области методики), а с другой, посредством максимально возможного привлечения реального опыта проживания в условиях современного сложного общества. Такую возможность предоставляет опыт общения в Интернет-среде, которая не только обслуживает, но и наиболее объемно отражает современный поликультурный мир.
Анализ теоретических работ в области взаимосвязанного обучения языку и культуре показал, что вопросы формирования языковой личности начинают занимать ведущее место в методических исследованиях. За последние десятилетия в центре внимания ученых были вопросы разработки теоретических основ:
- формирования вторичной языковой личности в процессе обучения иностранным языкам студентов языкового вуза (И.И Халеева, 1989; И.Б Игнатова, 1997; К. Н. Хитрик; 2001 Н.Д. Гальскова, 2004);
- соизучения иностранного языка и культуры в рамках формирования языковой личности как межкультурной личности или медиатора двух культур (собственной и иноязычной), в большей степени подготовленной к эффективной межкультурной коммуникации (Г.В. Елизарова, 2001; О.А. Леонтович, 2003; S. Bochner, 1972; P.S.Adler, 1974; S. Dahl, 1998);
- социокультурного подхода к обучению языкам международного общения, практических методик его внедрения в общеобразовательной школе и вузе (В.В. Сафонова, 1991, 1992, 1996, 2000; П.В. Сысоев, 1999; В.В. Сафонова, Е.Н. Соловова, И.Л. Бим, М.З. Биболетова, Л.Г. Кузьмина, 2001; В.П. Фурманова, М.Г. Корочкина, 2000) и другие.
Представляется возможным утверждать, что к настоящему времени сложилась достаточная научная база для рассмотрения проблемы формирования поликультурной языковой личности как нового подхода в решении задач образования в сфере иностранных языков. Однако анализ существующих теоретических разработок и учебно-методических материалов говорит о том, что в недостаточной степени разработанными являются следующие вопросы:
1. Существующие теории ориентированы лишь на формирование вторичной языковой личности, способной к взаимодействию с ещё одной (второй) лингвокультурой. Однако этого уже недостаточно. В современных условиях глобального мира соприкасается множество культур, что требует от студента - будущего специалиста способности к общению с носителями этих культур. В большей степени это характерно для общения в информационной среде Интернет, в которой происходит большинство как деловых, так и бытовых контактов.
2. Мало учитываются потребности постижения концептуальных систем представителей других культур, без чего невозможна подготовка к эффективному взаимопониманию, а значит и к полноценному сотрудничеству в поликультурном мире.
{{hlp_ar_s5_1_1}}*[[hlp_ar_s5_1_1]]
{{hlp_ar_s5_1_2}}*[[hlp_ar_s5_1_2]]
{{hlp_ar_s5_2}}*[[hlp_ar_s5_2]]
{{hlp_ar_s5_3_1}}*[[hlp_ar_s5_3_1]]
{{hlp_ar_s5_3_2}}*[[hlp_ar_s5_3_2]]
{{hlp_ar_s5_3_3}}*[[hlp_ar_s5_3_3]]
{{hlp_ar_s5_3_4}}*[[hlp_ar_s5_3_4]]
5
3. Не акцентируется внимание студентов на изучение общих для всех культур ценностей, которые определяются как универсальные, и имеют в то же время различное этнокультурное наполнение.
4. Обучение основано на материалах учебников, получаемых студентами в готовом виде, а не на самостоятельном поиске информации вообще и в коммуникативной среде Интернет в частности, осуществляемом в процессе реальной интеракции с представителями разных стран и культур.
Интернет-среда, между тем, являясь местом пересечения множества культур, обладает следующими прогрессивными потенциалами: обеспечивает накопление опыта сотрудничества с представителями разных культур, опыта жизнедеятельности в рамках культурного и социального пространства, способствует подготовке студентов к общению с людьми с разными картинами мира, различными социальными статусами. Интернет-коммуникация на английском языке как языке глобальной коммуникации или на разных иностранных языках обеспечивает возможность взаимодействия в поликультурной среде.
Соответственно, несмотря на имеющиеся исследования в области теории языковой личности и теории вторичной языковой личности, определяющих способы постижения иноязычной культуры в процессе обучения иностранным языкам, можно констатировать ряд противоречий, характерных для современной теории и практики преподавания иностранных языков.
1. Противоречие между реальной социальной потребностью в подготовке специалистов, способных к выполнению роли субъектов поликультурного сотрудничества в условиях всё ускоряющегося процесса глобализации общества, и отсутствием научно обоснованных теорий и методических систем обучения иностранным языкам, обеспечивающих формирование нового типа языковой личности, в большей степени подготовленной для решения задач этого общества, - поликультурной языковой личности.
2. Противоречие между востребованной в условиях глобализирующегося мира языковой личностью, способной и готовой к полноценному взаимодействию с представителями различных лингвокультурных сообществ, и системой обучения иностранным языкам, ориентирующей лишь на понимание носителей одной лингвокультуры - страны изучаемого языка.
3. Противоречие между интенсивно развиваемым направлением в лингвистике — когнитивным, в частности сопоставительными исследованиями в концептологии, позволяющими в большей степени понять сходства и различия культур, а соответственно и представителей различных лингвокультурных сообществ, и использованием результатов исследований этого направления в методике обучения иностранным языкам.
{{hlp_ar_s6_1}}*[[hlp_ar_s6_1]]
{{hlp_ar_s6_2}}*[[hlp_ar_s6_2]]
{{hlp_ar_s6_3}}*[[hlp_ar_s6_3]]
{{hlp_ar_s6_4}}*[[hlp_ar_s6_4]]
{{hlp_ar_s6_5}}*[[hlp_ar_s6_5]]
{{hlp_ar_s6_6_1}}*[[hlp_ar_s6_6_1]]
{{hlp_ar_s6_6_2}}*[[hlp_ar_s6_6_2]]
{{hlp_ar_s6_6_3}}*[[hlp_ar_s6_6_3]]
6
4. Противоречие между сформировавшейся новой коммуникативной реалией глобализирующегося мира — глобальной сетью Интернет, для которой характерен особый язык Интернет и особый вид коммуникации -Интернет-коммуникация, рассматриваемой многими учеными как место пересечения множества культур, и отсутствием научно обоснованных методик применения Интернет-коммуникации в процессе обучения иностранным языкам и культурам.
Существование названных противоречий обусловливает актуальность темы исследования, проблемой которого является пересмотр концептуальной системы взглядов на процесс обучения иностранным языкам в условиях становления глобального поликультурного общества, что и определило выбор темы исследования «Методическая система формирования поликультурной языковой личности посредством Интернет-коммуникации в процессе обучения иностранным языкам».
''Цель исследования'' - разработка теоретических основ методической системы формирования поликультурной языковой личности посредством Интернет-коммуникации и практическая реализация этой системы в языковом вузе.
''Объект исследования'' - процесс обучения иностранным языкам в языковом вузе как процесс поэтапного формирования поликультурной языковой личности.
@@color:red;''Предметом исследования '' является методика формирования структурных компонентов поликультурной языковой личности посредством различных видов Интернет-коммуникации, @@ обеспечивающей постоянное и опосредованное реальное взаимодействие с представителями разных языков и культур.
Основу ''гипотезы исследования'' составили предположения о том, что формирование поликультурной языковой личности, востребованной ситуацией глобального общества, возможно при условии, если:
• будет разработана методическая концепция, обосновывающая возможности восприятия и понимания концептосфер разных лингвокультур поликультурного мира в процессе обучения иностранным языкам и реализующая принципы: 1) ориентации на познание и учет концептосфер разных культур, 2) интеграции обучения и реальной коммуникации с представителями поликультурного мира, 3) осознания глобального и самобытного в личности, 4) автономии и самостоятельности личности в обучении, 5) проблемно-ориентированного познания;
• в основу учебного процесса будет положен компетентностный подход к формированию поликультурной языковой личности, обеспечивающий поэтапное формирование в ее структуре таких компетентностей, как поликонцептуальная, полилингвистическая и коммуникационно-технологическая;
{{hlp_ar_s7_1_1}}*[[hlp_ar_s7_1_1]]
{{hlp_ar_s7_1_2}}*[[hlp_ar_s7_1_2]]
{{hlp_ar_s7_2_1}}*[[hlp_ar_s7_2_1]]
{{hlp_ar_s7_2_2}}*[[hlp_ar_s7_2_2]]
{{hlp_ar_s7_2_3}}*[[hlp_ar_s7_2_3]]
{{hlp_ar_s7_2_4}}*[[hlp_ar_s7_2_4]]
{{hlp_ar_s7_2_5}}*[[hlp_ar_s7_2_5]]
{{hlp_ar_s7_2_6}}*[[hlp_ar_s7_2_6]]
{{hlp_ar_s7_2_7}}*[[hlp_ar_s7_2_7]]
{{hlp_ar_s7_2_8}}*[[hlp_ar_s7_2_8]]
{{hlp_ar_s7_2_9}}*[[hlp_ar_s7_2_9]]
{{hlp_ar_s7_2_10}}*[[hlp_ar_s7_2_10]]
{{hlp_ar_s7_3}}*[[hlp_ar_s7_3]]
{{hlp_ar_s7_4}}*[[hlp_ar_s7_4]]
7
• будет создана специальная методическая система формирования поликультурной языковой личности, представляющая собой целостный дидактико-методическии комплекс, реализующий новое наполнение её компонентов: целевого, содержательного и процессуального;
• будет разработан научно-обоснованный учебно-методический комплекс, реализующий методическую систему обучения, включающий методический инструментарий, построенный на вовлечении студентов в самостоятельную поисковую и исследовательскую деятельность в коммуникационной среде Интернет.
Цель и гипотеза исследования обусловили необходимость '' решения ряда исследовательских задач'':
9. Экспериментально проверить эффективность предложенной методической системы.
1. Проанализировать состояние проблемы формирования языковой личности в современной теории и практике обучения иностранным языкам.
2. Доказать, что поликультурная языковая личность является методологически значимой категорией для современной методики обучения иностранным языкам, соответствующей требованиям глобального поликультурного общества.
3. Сформулировать теоретические положения, составляющие концепцию формирования поликультурной языковой личности.
4. Разработать структуру поликультурной языковой личности, включающей совокупность компетентностей и компетенций, необходимых для продуктивного взаимодействия с представителями разных культур.
5. Выявить и описать психологические, лингвистические и культурологические характеристики Интернет-коммуникации, позволяющие использовать Интернет в процессе формирования поликультурной языковой личности.
6. Разработать научно-обоснованную методическую систему формирования поликультурной языковой личности на основе интеграции Интернет-коммуникации в процессе обучения иностранным языкам.
7. Доказать возможности и продуктивность сопоставительного изучения концептосфер представителей разных культур, отражаемых различными жанрами Интернет-дискурса.
8. Создать технологию реализации методической системы формирования поликультурной языковой личности на основе электронного учебно-методического комплекса.
''Исследование выполнялось в несколько этапов.''
''Первый этап '' С1999-2003гг.') - установочный: изучалась проблема, литература, практический опыт применения Интернет-коммуникации в процессе обучения иностранным языкам студентов Кемеровского государственного университета и его филиалов, разрабатывалась гипотеза исследования.
{{hlp_ar_s9_1_1}}*[[hlp_ar_s9_1_1]]
{{hlp_ar_s9_1_2}}*[[hlp_ar_s9_1_2]]
{{hlp_ar_s9_2}}*[[hlp_ar_s9_2]]
{{hlp_ar_s9_3_1}}*[[hlp_ar_s9_3_1]]
{{hlp_ar_s9_3_2}}*[[hlp_ar_s9_3_2]]
{{hlp_ar_s9_3_2_1}}*[[hlp_ar_s9_3_2_1]]
{{hlp_ar_s9_3_2_2}}*[[hlp_ar_s9_3_2_2]]
{{hlp_ar_s9_3_2_3}}*[[hlp_ar_s9_3_2_3]]
{{hlp_ar_s9_3_2_4}}*[[hlp_ar_s9_3_2_4]]
9
Ю.С. Степанов, 1997; В.Е. Чернявская, 2001; R.W. Langacker, 1987; LTalmy, 1990);
- теории и методики использования Интернет - технологий, компьютерно -опосредованной коммуникации в процессе обучения иностранным языкам (Е.С. Полат, 1998, 1999, 2001; М.Ю. Бухаркина, 2000; М.В. Моисеева, Л.А. Подопригорова, Е. И. Дмитриева, 1997, 1998; О. П. Крюкова, 1998; J. Krajka, 2000; P. A. Lafford, and В. A. Lafford, 1997).
В ходе проведенного исследования использовался комплекс теоретических и эмпирических методов исследования. Теоретические методы: анализ педагогической, психологической и методической литературы, материалов и публикаций педагогической и публицистической печати по исследуемым проблемам; анализ положительного педагогического опыта; моделирование. Эмпирические методы: интервьюирование, тестирование и анкетирование преподавателей и студентов; целенаправленное включенное наблюдение за работой студентов в Интернет-среде; опытная работа; обучающий эксперимент, основанный на комплексной интеграции различных видов Интернет-коммуникации в процесс обучения; математическая обработка результатов исследования.
В связи с основной гипотезой исследования ''на защиту выносятся следующие положения'':
1. Концепция формирования поликультурной языковой личности базируется на новой совокупности теоретических положений:
• Совершенствование обучения иностранным языкам состоит в целостном, поэтапном формировании поликультурной языковой личности, способной средствами изучаемого языка овладевать концептосферами разных культур.
• Компетентностный подход в системе подходов и концепций обучения иностранным языкам является базовым для формирования поликультурной языковой личности, поскольку он ориентирован на особое целеполагание в обучении - результат, а именно на формирование компетентностей и компетенций.
• В качестве компонентов в структуре поликультурной языковой личности должны быть сформированы такие новые компетентности, как: поликонцептуальная (позволяющая ориентироваться в концептосферах разных лингвокультур); полилингвистическая (обеспечивающая возможность пользоваться английским языком как языком глобальной коммуникации или несколькими иностранными языками); коммуникационно-технологическая (позволяющая применять коммуникационные программы Интернет для взаимодействия с представителями разных культур).
• В условиях ограниченности реальных контактов Интернет-коммуникация, являющаяся местом пересечения множества культур,
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
iVBORw0KGgoAAAANSUhEUgAAAeoAAALBCAYAAACX7uJSAAAgAElEQVR4nOy9eVyP2f//f0Uo1VvJUkiIsofGNtmz7zGWLFnHvhtkmSyRyb5LIUQ0siZ7WSJDWSuypaSiRUn78rp//+jX+UjeM+/FjOb9O/fb7brd6ryu5Xme17nO45znOde5FCQSiUQikRRblG9tgEQikUgkkn+OFGqJRCKRSIoxUqglEolEIinGSKGWSCQSiaQYI4VaIpFIJJJijBRqiUQikUiKMVKoJRKJRCIpxkihlkgkEomkGCOFWiKRSCSSYowUaolEIpFIijFSqCUSiUQiKcZIoZZIJBKJpBgjhVoikUgkfztyc3N5//79tzbjL0EKtUQikUj+dNzd3VFTU6N06dKULFkSRVFQV1endOnSlChRAkdHx989Picnh7Fjx6IoCoqiUL58eW7evPkXWf/7dk2YMEHYdf36dVQq1Ve9hhRqiUQikfzpLFy4kNGjR3P69Gl27NiBoiisW7eO06dPM2DAgD8U6hUrVtC0aVMWLlzIwoULuXjx4l9k+e/j6OhInz59mDVrFtWrV0dbW5tHjx591WtIoZZIJBLJn87t27fJzMwU/yuKwu3btwFISUnhzJkzv3t8y5Ytef78+Z9q439CQkICqamp5OXlsX//fjQ1Nbly5cpXvYYUaolEIpH85Xwq1AW8efOGTZs24ejoyPTp0zlx4gQAp0+fpnv37tjb27NixQocHBwKifaOHTtYunQpDg4OTJkyhQ0bNgAQHx9Ps2bNCAgIAODUqVOMHz8eLy8vAIYOHYqi5MtgZGQk//jHP1iwYAGxsbGkpqayZs0a5s2bx/Tp07lw4cIf5mnLli20atXqv3fOZ0ihlkgkEslfzudCnZ2dja2tLaampjx9+pQhQ4bQsmVLAGxsbFAUBU9PT0JDQ+nUqRMWFhYkJCQAsGHDBjw9PfH396devXqULVsWgPfv36MoCufPnwfyBV1NTY0jR44AMGDAACHUaWlptGjRAgsLC2JiYggODqZMmTLcuXOH5cuXU6lSJaKiov5pfnbs2EHlypX58ccfv76vvvoZJRKJRCL5A77Uo75x4wanT5/m8ePHNGvWDFNTU3JycujUqRPNmzcnLi4OAE9PT7S0tIQAu7u7i17zmDFjWLVqVaHrnD9/ntDQUMzMzFAUBW9vbwA2b95M6dKlxb5OTk7Y2NgA8OrVKwYNGkRiYiJbt25FQ0ODQ4cO/dP8zJgxgxo1alCqVClcXFy+6oQyKdQSiUQi+cv5klDfu3ePESNG4OLiwpQpUzAyMiIqKoply5ZRt25doqOjAfDz80NRFBwcHIA/Furp06czfvx41q5dS4kSJYRQ79u3j3Llyol9PxXqrKwsdu3axahRo5gzZw5ly5b9XaGG/FC7oij069ePjIyM/9JD/4cUaolEIpH85Xwu1FlZWVhZWTFnzhwADhw4gLGxMW/fvsXHxwdFUQgNDQXg+fPnaGtrc+3aNeCPhdrMzEz8r66uLoTa2dlZhL6hsFC7u7tTs2ZNAAICAtDV1f1DoS643tKlS/9tf/zuOb/q2SQSiUQi+R0+fvyIs7Mz2traPHjwQKRnZGRgYWGBqakpW7dupVu3bujr63P79m0iIiLQ0dFhyZIlJCQksHjxYubPn4+3tzdbt25lwoQJPHnyhLi4OFq1aoW1tTUAly9fFj3v3NxcDh8+TIkSJTh06BCJiYm0atVKhMLd3d2xsLAQQt23b186dOjAw4cPWblyJWXLlsXe3r5IfrZu3UpAQAAvXrxg7969WFtbc+PGja/qMynUEolEIvnLePbsGd999x2jRo3i2LFjIj0vL4+1a9dSqlQpvLy88PT0ZNasWWRkZPDx40eOHDmCgYEBNjY2Ymz6zp07WFhYcOHCBXJzcwkPD2fYsGFMmzYNADs7O4YNG8bDhw9JS0vDwcGBYcOG4e7uzs2bNxk2bBjDhg1jwoQJjB49miZNmlC7dm2eP3+On58fhoaGzJs3j2PHjtG8eXPOnj1bJD9Vq1ZFX1+fOnXqsGDBAlJTU7+6z6RQSyQSieRPJScnh7dv3xIVFVVoe//+fZG0v3q7ffs2V69e5enTpyQlJWFhYcHx48fJzc3l3bt3pKSkABAbG0tiYuK/fN68vLyv5j8p1BKJRCL5UwkKCuK7777D3Ny80NamTZsiaX/1pquri7q6OiYmJrRt2xZjY2Nq165N3759adGiBR06dMDa2hoLCwssLS3/5fPu3bv3q/lPCrVEIpFI/nQePnxIcnIye/bs4fLly7i7u7No0SJ27NhBaGgoy5YtA8Df3/+b2Xjt2jUWLVr0H22XL1/m7du3f4pdUqglEolEIinGSKGWSCQSiaQY81WEWqVSERYWxrt374r8lpCQQFhYWKHF2L+Eh4cHb968+RrmFAtyc3MJDg7+qhMKviZJSUl8+PDhW5vxl5Gbm0tYWBi5ubnf2hSJpFgTHx/P1atXv7UZkk/4KkKdlZVFjRo1GDlyZJHfmjZtSpMmTXj58uXvnuPkyZMMGzbsa5hTLMjJyWHy5MnihfziRo8ePRg2bBgbN24kMDDwW5vzp3P27Flq1KjBli1bvrUpkv9RvLy8mDhxIl5eXuzbt+9bm/Mfc+vWLWrUqMGQIUP+1vn4X+KrCHVOTo54cbwAlUrFhg0bKFGiBAMHDvyX3i2bOHEiEydO/BomFQvevHmDgYGBWPauODFv3jxatGjBrl27vrUpfwkpKSk0a9ZMLOIvkXxtfH19adu2Lb169eLp06ff2pz/il27drFr1y4SExO/tSkSvpJQZ2ZmoihKIaF++/YtNWvWRFEU9u/fD0BgYCArV65kzJgxYrk3gLt37zJu3DgsLCwoWbKkqEx/++03XFxcWLx4MT4+PgAcO3YMW1tbnJ2diY2NJS8vj3v37v3hd0pPnTrFwYMHxf8RERE8fvxY/P/48WPWrl3LTz/9xMePHwkJCcHX15fs7GxOnjxJeHg4Hz58wNXVlXv37onjXr58yfjx43FzcyM5OVmkP3/+HDs7O7S0tBg9ejSQHzXw8PBApVKRkpKCv78/GRkZODk5sXPnTgCuX78uFp7Pyspi06ZN2Nra4uHhAeR/4eXQoUPY2tpy8OBBVCoVXl5eYsk8Hx8fduzYIew4f/48c+bM4aeffhLvA75+/Zr09PTf9RdAaGgovr6+3L17l9zcXFJTUwkPDxe/f/r3+/fv8fX15dq1ayQlJRERESG+P/vkyRNxr+7fv8+zZ8/EcdnZ2QQGBmJrayvu+507d8Rn6gooONe9e/eKhOXOnTsnZox+TkZGBqmpqQQGBmJgYIC3t7fw76f5uH//fqG1ea9du0ZycjKvXr3izp07ZGVlARAXF8fVq1d5//49QCGfxMfH4+fnJ/KRnp5OWloaz549w9fXl9zcXHx9ffH19RXXKSi/vr6+BAcHF7KrYN9PK/3w8HDCw8PJy8sT+fD19SU2NhbIL9eZmZmkpaUREBBQ6Gs/YWFhQH5ZLzj3vXv3vjg8U+Dj169f8/Dhw0K/+fn5FfJJwf737t3jxYsXIs3f31+UucjISDIyMkhLS+PWrVsAJCYm4ufnR3h4eKGZvp/6Nzg4GF9fX3Gu8PBwfH19C5XfnJwcgoKC8PX1JSYmhtmzZxMdHU1cXBybNm3i8ePHREZG4uzsTHx8PIC4R1FRUTx9+lSU3wI+rx8+JyQkRCxnWXBfCvybkZFR6NkoIDo6Wvjdz8+vkAjev39f3KvPyxzAhQsXOHv2LHl5ebx9+1bYGh8fz+bNm8V+oaGhuLq64uzsXKg+unPnDlevXuXnn38WaZGRkRw5coQJEyaIYccXL14wd+5ckpKSAIrc+0/zf/fuXSIiIkSar6+vuG9hYWGizrx+/brYp2DFroiICHx9fcXw2+e+Pn78OBs2bChUfgvqX3t7e1JTU8nKysLX15ecnBxcXV25du0amZmZeHl58erVKyC//K5cuZL09HSys7MJCgr6qh/L+Kv4KkJ98+ZNli1bhq6uLpBf+djY2DBgwABKlixJcHAwQUFB6OnpcfnyZTw9PWnfvj2pqalcvnwZQ0NDALy9vVFXVwfyK+bWrVsTGxvL1KlTWbt2LQBTpkwhLCwMNTU1Dh48yMePHzEyMmLhwoW/n1FFYejQoUD+eKWOjg6dO3cmOTmZkJAQateuzZkzZ+jUqRN2dnbY29ujKAodO3akdOnSKIrC/PnzKVGiBB07dgTyC1ONGjX4+PEj8+bNY9y4cahUKtauXYuOjg5hYWH079+fXr168ezZM5o0aUL37t3Jy8tj586dlCpVioiICBo0aECPHj2IioqiXLlyPHjwgLy8PLp27YqjoyNeXl5YWlqSlJTEmjVr6N+/P69evUJdXZ3MzEz69u1Lo0aNePXqFc2bN8fY2Jjs7GyGDBnCkiVLAGjcuDHOzs4EBgairq7OjBkzAFi6dCl16tQp4i8PDw+srKyYPHkyJUuWJCYmBk1NTUqUKAHkN1DU1NR4/Pgxd+/epVu3bowePRpzc3N++eUXHB0dURQFNzc3NDQ06N27NxcvXqRMmTLiHJmZmfTo0YPhw4fTrFkzpkyZAsDYsWNRFIW7d++iUqkYOHAg5ubmREVFMWHCBPr161fI1sWLF1O3bt1CaSqVisDAQLp27cqoUaNQFAVjY2OmTZtGu3btCAkJITU1lYULF6Krq8uQIUMoU6YMT548ISgoCEVRMDc3Z+bMmairq3PgwAHev39Pp06dKFWqFO7u7gAcOnSIEiVKkJ6ezpAhQyhRooRYNalFixacOXOG/fv3oygKmpqaDB8+HC0tLXbv3k1WVhadO3dm5MiRLFiwgHr16vHy5Us+fvyItbU1586dY/PmzUybNo28vDyWLl1Kr169OHfuHJqamqIBqKamhru7O5mZmXTs2FGIj4mJCVu3bgVg0aJFTJ8+nQcPHvCPf/wDPz8/3Nzc6NSpU5GPB3h5eVGqVCl2796NkZERZmZmvHjxgtjYWDp37syZM2eYPn06bm5u4hhtbW1atmwpGut2dnaoqamxd+9ecnJysLKyIjw8XKzZrFKpmDt3Ljo6OrRr1w5tbW3x3mnp0qVFw6tixYq0bt2aypUrc/fuXXJyclBTU+PFixeigZGens7AgQNRFIWbN29SqVIl1q5dy6xZs1AUhSVLloiPOPj5+REXF0fz5s2B/CEgRVEYMWIEZmZmDB8+nNzcXNq3b0+zZs2IiYlhz549DBgwAMgPC1esWJFZs2ZRo0YNxo8fL8p1ixYtiI+P58KFC5iamhbyaXx8PA0bNmTs2LGcPHmSUqVKcfnyZfG7u7s7enp6BAQE0KpVK3r27CkaOZA/hNi5c2fS09Px8PCgRIkSxMTEMHjwYMqXL09ISAijRo2iTp06PH78mKZNm7JmzRogP3pmYWFBeHg4DRs2FNfT1tbm/v373LhxAxMTE969e8eMGTMwMDAgKiqKoKAgDAwMitQNAAsWLKB3795oaGjg5+fHli1bUFNT48qVK6SlpWFtbY2DgwNbtmwRZcLDw4Ny5coREBCAo6MjJUqUIDAwkLCwMIyNjYF8Aa9cuTKLFy9m5syZmJqaolKpSE9Pp0mTJowaNYqxY8dy7Ngx3rx5g6Iowg5FUVi/fj3169dHW1ubU6dOYWlpKcrv06dPUVdXJycn54t5Ks58FaGeMmUK+/fvR1dXl9jYWDZu3IiLiwtDhw5l8ODBvH37ljp16ojxwcePH9O+fXvCw8MxMTER3wY9ePAg6urqPHnyhKpVq7Jz506cnJwwMzMTvdjAwEBu3bpFhQoV8Pf3Jz09nebNm7Nw4UK2bNkiWrVFMvr/CXVubi579uyhVKlSrFq1ioSEBLp37861a9c4ePAgbdu2JSEhoZDQjBw5EkVRcHV1pX79+gwcOJDHjx+joaEhPkDu7u7OuHHjePbsGVWqVOHKlSsAbNy4kdatW5OQkMCMGTOYMmUKKpWK8ePH8/PPPwuhvn79Ot7e3mhoaAD531etXbs2v/32G507d2bjxo0EBATQoEEDIiIixAObm5tL3759+eGHH5g/f76ILGzbtg1DQ0PRUp48eTLOzs7k5eXRvXt3HBwceP/+PZaWlkUWmr906RKGhoYEBQWRmZnJtm3bSEtLY+XKlXTq1AmA5cuXY2hoSHR0NB06dBC9+G3bthEUFISjoyOampqcOHGClStXUq5cOXbt2oWjoyN9+/YlISEBa2trHB0duXfvHoaGhri6ugLg4OCAhoYG69at49GjR5QtW5Y+ffqQnp7OhAkTqF+/Po6Ojnh7e5Obm4uNjQ2//PJLoTy8ePECIyMjsZRgqVKlhLAMHDgQf39//P39sbKyAgovuh8SEoKGhoYol3379mXSpEkAzJ07F3V1dfbs2QNAo0aNhE+8vb0pUaIEN2/eJDAwEBMTE54+fSrWKb5//z7379/H0NCQnTt3Mn36dGrXri16xg0aNMDPzw87Ozvq1KnDvXv3GDNmDF5eXly6dIn27duL/Ono6AifV6pUiVu3bvH8+XPq169PYmIib968oVGjRgQEBIhGlY+PD7du3aJhw4b4+fkxcuRIxowZU6TiGjNmDGpqalhbW7NixQo6duzI69evMTU1xcHBAZVKhbOzMxUqVADgyZMnLFmyhKVLl9KqVSsA9u7di5GREU+ePCEyMpKqVasSExODj48PVapUEc9bQe+mSZMmzJw5E4BJkyZx7tw5AOzt7XFzc8PU1JSkpCSioqLQ1tZmwYIF/Pzzz4SGhpKamkqfPn2oXLkyN2/epGbNmlhZWREZGYm6urooV/Xq1RNCXdBo79GjB927dwfgyJEj6Onpce/ePSwsLBg1ahQAzZs3Z/Xq1aSlpVG7dm0OHz4MwMqVK8XHHiZNmoSNjQ2ZmZn06dOnyEcZnj17Rq1atdixYwfLly9HQ0NDTL6NiYlh9OjR1K9fnwcPHtCgQQNatGiBo6Mje/fuJSMjAzMzM9atWwfAzp07adKkCa6urvj5+QFw9OhRNDU1uX//PgAzZ85k3Lhx+Pv7oygKa9asYfTo0cyfP5/U1FRatGgh6i43NzcqVapEUFAQV69excrKig8fPrB+/Xratm3Ll+jduzfHjx9HW1tbRFGMjIwIDQ3lxYsXGBsb8+TJk0JCPXXqVJo2bQqAo6MjpqamvHr1ChcXF/r3709WVha9evVi5cqVAKKsBAUFUa9ePdavXw8g1tXeuXMnxsbG3L17l59//hl9fX2uXLnCmDFjsLW1BWDYsGFYW1uTmprKiBEjRP37d+OrCHVBK0lXV5euXbtiZ2dHUlISrVu3xtPTk0uXLlGuXDkRyrG3t6d9+/asXr2aunXrijDR1KlTUVdX58aNG5QvX56FCxcSEhJSaFxx1apV7Nq1ixYtWpCdnU1ycjLq6ups2rSJjh070qVLly/aOGfOHBo1akRGRgbbt2+ndOnSBAUFsX//fkqWLImFhQVTp04lMTERlUrF0KFDmT9/PgkJCbRu3Zo5c+aQnZ1N/fr1cXFxYc2aNRgYGIhKbvjw4YwbN47Zs2fTrVs3cd0GDRrQp08fAMqXL4+7uzuPHj1CQ0ODoKAgIdSjRo0SNiQlJdG0aVO+//57ZsyYQXR0NDk5OTRq1Ej0Oj+lWbNmNGzYEHNzcxISEsjIyKBbt26i1wygpaWFs7MzOTk5VKtWjefPn3P58mXRK/+U1q1bM2zYsCIzpAcPHsyZM2eIjo7GzMwMOzs7nJ2dKVGiRKEwHeQ/IAWNnh9//JFJkyaJB/HJkyfcvn2bSpUqUatWLaZNm8a7d+/Izs4GYM2aNbRo0YJ169aRmZlJuXLlRMRES0uLcePG8fLlS0xMTIiKihIV9Kfs3buXEiVKkJaWRmRkJFpaWiKcWyDUVapUEWL8qVCvXLkSY2NjkadmzZpx48YNUlNT2bp1K02aNOHIkSPs3LmT3r17i/V/Z86cSdOmTcnOzsbc3BwrKytycnJYsmQJ9vb2qFQqIdSHDh2iadOmHD16VNhcoUIF7ty5Q5kyZbC0tKRt27YMHjyYjIwMxo8fL4Y//P39KVOmDEFBQRw6dIiKFSvi6upKhQoVGDBgAOnp6Zw5c0ZESlxdXVEURfSchw8fTr9+/dDW1sbFxaWQ39LT0+nXrx+ampp8/PiRjRs3Mn36dDw9PalZs6YIOTs7OzNu3DggXyRSU1OZNGmSGObau3cvjRs3Jjc3l4oVKzJ9+nTy8vL48ccfKV26NNWrVy80/LV+/XratGlDZGQknTt3Jicnh507d3L06FF69OghImqOjo7CT4MGDWLs2LHExcVhamqKm5sbvr6+6OrqcuHCBby9vdHS0hIh6sGDB7Nu3TpevXol7oe5ubkI7/7yyy9UrVqVnJwcdHR0aNiwIY0bN8bAwIDAwEAcHR1p0aKFCCn37dtXCLWmpibHjh3j6dOnlC5dWohgAbm5ubRs2RIjIyMaNGiAnZ2d+C06Ohpzc3ORR3V1dUaMGCEiG1u2bKFs2bKiB25jY0Pp0qWFSBVEJ8aPHy/Oqa2tzS+//IKDgwO1a9dm3LhxmJqacvToURISElAURTQU3NzcMDY2Jjw8HB0dHaZNm4ZKpaJs2bJ4enryOQcPHmTHjh1s2rQJS0tLUR5atWpFXFwc8+fPp2vXrgBCqDdv3kz16tVZvXo1kF8/1KlTh7lz54q6KSUlhSpVqohFQw4cOECVKlVwdnZGTU2tSOSnZ8+eDBs2jOzsbAYMGMDy5ctF+T116hRxcXEYGhpy9epVwsPDKV26tIiE/d34r4X64cOH9O/fH4CaNWvStGlTYmJiCA8PR1EUMjMzRUUB/7cgu6urKy4uLqKHGB8fT+/evfn111+5desW5cuX5+PHj6SmpnL+/HkSExPx8PDg9u3bWFhY0Lx5c7KysvD09MTa2pqMjAz2799P9erVi9g4e/ZsXr58Sd26dbl8+TKHDx9GXV2dtLQ0XF1dadasGVlZWSLEAvk9sKtXrxIdHU3btm1RqVTcuHFDhLQGDhxI3759AUhOTqZJkyYcPny4UGg2NDSUChUqcOrUKdzd3TEyMuLx48fY2tpiYGAgZsK/ePGCmzdv0r59e44dO0ZwcDDVq1dnwYIFAGK8qGbNmjg4OJCdnU1eXh6ZmZmEhYWJB8TQ0JDjx4+TkZFBjx492L59O9nZ2Rw8eJCmTZsSFxfHqVOnaNWqFQ8fPmTGjBniSzGfYmFhwcaNG4H8EHLBA2JgYMDDhw85f/68uJ9btmwRPQ/4v/FvbW1tURnp6upy+fJl0tLSMDMzIyYmhhMnTlClSpUir4g9ePCA+/fv07JlS6ysrLhy5QpaWlr4+vqSkJCAoaGhGE82Nzfn+vXr1KpVi6CgoELncXZ2ZvLkyQBs2rQJPT09oqOjefbsGT179iQoKIiSJUty4MABMfHRxMRE/L5p0yYgf55Eo0aNiI6OJjIykuDgYObPn0/jxo358OEDtWrV4urVq2RmZjJ48GA8PT05ffo0enp6YjywZcuWouJetWoVI0eOJCoqisaNGwP5Y5oTJkygT58+hIWFUbFiRe7cuYNKpaJFixYkJCRgbm7OxYsXSUtLo0+fPsL/o0aNYvbs2aJMzp49m7y8PLZt28asWbOIiopi+vTpokLdu3cvLVu25OTJk2hpaXHx4sVCfgsPD6dmzZp4eXmRmZmJkZERHh4erFmzhtq1a4vyaGlpyfr160lLS+PIkSN8/PiRli1b8vLlSz58+ECzZs3Yvn07AQEBKIrC3LlzgfzK9dq1a3Tq1KlQY9DZ2Zl69eoVekti3rx5+Pv707BhQ5ycnID8yFiBXwcNGsTWrVvx9fWlS5cuZGdns23bNmrUqAHAiBEjKFeunCi/Y8aMwczMTJT5x48fC//GxsbSrl07Tp8+jbe3NxUrViQ8PJwNGzZgZGREcHAwCxcuFP598OABTZs2xcnJiTt37qCmpsbp06fZsmUL5cqVExG1AgIDA2nfvj3+/v60a9eO48ePi9+ys7Pp1KkTW7ZsITQ0lJIlSxIREUFKSgqVK1fGxsYGPT09MV5bpUoVQkNDady4MQsXLiQvL09ER7Kzszly5AhGRkZcvXqVxo0bCwEfNGgQM2bMIDExEUNDQxISEoiIiOC7774T0asSJUqwZMkSrl+/jqIohea7FJSPyZMnk56eTp8+fRg7diwAhoaG2Nra8vLlSxRFEc9eAQVDMR8+fChUP6SkpKAoCvv27SMlJYV69eqRmJhIYmIiHTt2ZMiQIaxcuRJFUfD39yc3N5fQ0FDevHkjPnOZnJxMhQoVCA4O5smTJ7Rq1YqkpCROnz6NlpYWL168EF/r+tJHNf4O/FdC/eHDB4YNGybGB2vWrCl6KFOnTkVRFPbs2SN6EYsXL6ZVq1asW7eOtLQ0EhMTqV27Nj/++CNLliwRTiwQn9atWzNz5kx++eUXRo8ezbZt24B8IalXrx4xMTG4urrSpk0bHjx4QO3atcWYLOSLjJWVFYsWLSI2NpbvvvuOyMhIFi5ciKIoBAcHc/78ebS0tGjXrh09evQQE51q1apFWFgYTk5OQoj27t1LhQoVuHDhAl5eXpiYmLBjxw6+//57Dh48SGZmJhcuXKBr166cOnWKkSNH4uXlxYcPH3B3d0dTUxN7e3uWL19O5cqVC028ycjIYMCAATg5OYkxSh0dHaysrMREsblz51KuXDnat2/P3LlziYiIwMHBgREjRpCTk8PMmTMxMTFBpVLh5ORErVq1cHJyomvXrmKikr29PeXKlcPOzo6pU6dSuXLlIvfVwsKCBg0a4ObmRs+ePUU4XUtLi+XLlxMaGiqE4sCBA1SuXJkxY8YwYcIEEV7V0NDg1q1b+Pj4YG5uzsePH0lJSUFTUxNvb2/u3r2LoaGhEOSAgAAWLVokBGXgwIFs2rQJPz8/NDQ0CA4OJjk5mTJlyrBkyRLs7OxYvHgxa9euRU9Pr0jF6LQttHYAACAASURBVOzsTM+ePQkPD6devXro6+vz9OlTzM3NOXHiBMnJyXTo0IE1a9YQEhKCiYkJV69e5c2bN2JsOjQ0FAMDA86cOcO2bdsYNmwYERERzJ8/nxkzZpCbm4uiKFy9epV3795hYWGBlZUVa9asoXr16ixatAhfX1/U1dXZtWsXZ8+exdbWltjYWOLj42nTpg329vbMnz8fMzMz4eeCr/AsWrQIW1tbsrOzqVatGo0bN2bixIk0atRI+L9FixZiTLxEiRJMmzaNjIwMhg4dipmZGSdPnmTQoEG0bt2aU6dOoaWlxbFjx/D09KR06dKFxpkhf03mgjJx7949ypcvj4eHB35+fujp6XHz5k1at27NpEmTePLkiRizjo+Pp2zZsjg5OYmGpoWFBWfPni0k1E2aNCE6OpqAgACqVatGSEiIuF8FIfy0tDRGjRrF2rVrCQkJwdjYmBEjRgCwYsUKbGxs8Pb2ZsCAAYSHh7Nlyxbs7OxQqVSMGDGC06dPA/lC3axZMxExcnNzo1u3bmLC07JlyzA1NSUmJoYpU6aI4QwHBwfx9sm4ceOoXbs2ERERPHr0iO+++46jR48ye/ZsMaa+YcMGFEVh/PjxODk5YWRkVGQSVq1atfDy8iIsLIxKlSrxww8/ALB27VoxnHP69GkSEhIoWbIk+/fvZ9++fcydO5dJkyaho6NDUFAQgYGBfP/998TFxREQEEDVqlWB/AZlrVq1+PXXXxkzZoz4fOSrV68YPHgw9+/fp1evXoSEhJCRkcGIESPo0KEDc+bM4eTJk0D+OLqpqSlz584VY8IFviygRYsWXLt2TTQ0LSwsePPmDfr6+jRo0ABfX1/69evHmDFjCh0XGBgoOl8F9UNcXBy//fYbGhoaHD9+nKysLLp27cr06dNZvnw57u7uvH//noSEBExNTalVqxYdO3bkxYsX+Pv7U6lSJZKSknB1dWX69OliUmHt2rVJSUnBx8cHLS0tFi5ciI+Pj/hk5t+Rv/3KZDk5Obi5uWFvb19k1qxKpWLXrl2kpaUB8OjRIyB/IlTB2A7kv0b1pe+Mfs6dO3c4c+aM+P/8+fO4ubkVGeM7ceIEDg4ORY4v6KUBRR4AyG+tFoR/C/a5e/fuH9r175CXl4e9vT2JiYl4eXkVCr0WEBgYiL29fRGf2NvbEx4eTmpqKs7OziJ9y5Yt2Nvb8+TJk9+9dmZmJrt37xYV5/379/nll19ET8Hd3V2M1xbcy8/vVUpKSpFWfsF9/ZTo6GicnJyYNm0a5cuXF/m5cOGC2Cc2NhZ7e3uWLVsmRDI0NJQ6deqI/Qvu7Y4dO9i9ezeAmKkM+d+iTUpKEj4pmARVcK8LBMje3r7Q5KGCa9nb27Nnz55CQwcF5/rU/8eOHRP/f+6TAj7tjT558qTQJwT/HQruY2RkJI6OjiLdx8cHe3v7QrPEN2zYwLt370hNTcXe3l48a7t37+bOnTtAvr9+762M3Nxc1q9fz+LFi4H8Hqafnx9ZWVm8e/eu0BsAKpWKAwcO/EuvDYWGhooZx5mZmWzfvl2Uq+zsbDFZ9PNy/ql/g4KCRLQmNzeXffv2Fdn/2bNnhdI+b/x8ypfK7+bNm4vkx9nZudArrf/q943/2SztP4NPw/s3btwoUv9+bfz8/P7wNd+UlBRiYmL+VDu+BX97oZZIfo/ffvuNNm3a/Mv7L1++nM6dO3+Va2dkZNC5c2fRm5QUxdXVlUOHDv2uuP03ZGVl4eDgwNChQ8UkMMifva2mpiZeFZNIijNSqCX/03z//fcoiiJCgb9HcHAwLVu2pGXLll/l2lu3bkVRFAwNDcV7zpLClClT5ovRp69FSkoKFhYW4v1pyG9A/fDDDyiK8rcds5T8/wsp1JL/WZ49e8bhw4c5fPjw7y5eUUBYWJjY/2sQEBDA4cOHOXXq1Fc5n+TrUDCX5PDhw8Vy1UCJ5HOkUEskEolEUoyRQi2RSCQSSTFGCrVEIpFIJMUYKdQSiUQikRRjpFBLJBKJRFKMkUItkUgkEkkxRgq1RCKRSCTFGCnUEolEIpEUY6RQSyQSiURSjJFCLZFIJBJJMUYKtUQikUgkxRgp1BKJRCKRFGOkUEskEolEUoyRQi2RSCQSSTFGCrVEIpFIJMUYKdQSiUQikRRjpFBLJBKJRFKMkUItkUgkEkkxRgq1RCKRSCTFGCnUEolEIpEUY4qNUM+fP//f2vbv38/ly5f/5c3FxYVTp07h4+NT6DzHjh37t6/9d9yWLFnC8ePHv+ib7du34+TkxKVLlzhx4gQ///yz8O9/er0LFy7g4eEhfO/g4ICzs7P4/dSpU7i4uHD69GmRtnbtWk6dOsUvv/zC5cuX2bFjx398/X+nbPy72+7du4ukbd26VVzb0dGRc+fO4e3tjYuLC2fOnGH+/Pk4Ozvj4uKCi4uLOG7x4sW4uLgwf/58NmzY8E/z4+3tzfLly5k/fz5OTk64uLhw4MAB8Sx4eHhw4cIF5s+fX8Rva9as+Zfv5b59+/5tfxw6dKhI2oEDB/j5559F3gry8KVrrly5kp9//vkvexbc3Nz+1PLxR9vhw4e5ePEijo6OnD9/nuXLl7Ns2TJh365du9iyZQsrVqz45vXGl7YtW7Z8VX/4+Pjg4ODwT3/ftm0bu3bt4siRI7i5uQk7XFxcWL169VfN286dO4tc38/P71vLY/ERakVRMDMz4/jx49jb29OxY0cmTZpEx44dOX78OMePH2fRokXi76lTp9KxY0e5fbb9+OOP/Prrr4wYMYK5c+cKf7m6utKxY0c6dOhAtWrVvrmdf/amKMofbqVLl0ZHRwc1NTXMzc2/uc1/1davXz/27NnDwYMHRVpBOZk+ffo3t++/2caNG/dPfzt+/DiOjo707dsXCwsLFEWhcePG39zmr7nZ2dlhbW1dKG3lypW4uLiIe/zrr79iZ2fHr7/+KtL+nc3BweGb57Njx4507dqVbdu20b17d5E2ZMiQIvZaW1tjZ2dH//79OX78OHZ2duK3VatWFdp3yZIlha5haGhImTJlvrU8Fi+hdnZ2/tZmSCQSiUQCwOnTp6VQf4oUaolEIpEUJ65evSqF+lOkUEskEomkOOHt7S2F+lOkUEskEomkOOHv7y+F+lOkUEskEomkOCHHqD+juAh1eno68fHxYgNITU0tkvYtePXqFbdv3+b27du8ffv2m9nxtXjz5g0PHjwgJyfnW5si+R8mLS2N1NRUAJKTk8nIyPjGFv13pKSkAJCTk/O3z0txRwr1ZxQXofbz86NTp05YWlpiaWkJwMmTJ2nTpg2Wlpb88MMPf7lNKpUKDw8PTE1NxatFnp6ef7kdX5OkpCR69+6NgYEBjx8//tbmSP6H2bdvH7169eL169dMmDCB48ePf2uT/mN8fHywsbEhOjqa5cuXs2LFim9t0v80Uqg/o7gINcCGDRtQFIU6deqINDU1NRRFITQ09E+/fm5uLiqVSvyflZVFt27daNasGePHj8fV1fVPt+Gv4MCBA+jr63P79u1vbYrkf5inT59iZGSEjo4OjRs3/tbm/Nd07doVHR0djIyM8Pf3/9bm/E8jhfoziqNQ29rairQvCbWnpyeOjo44OjqKtNjYWJH26W9HjhzB0dERT0/PQiL8Od7e3kyYMIHFixfj6+sLgIeHB/Xq1WPbtm3s2LFDpPv6+uLo6MjZs2eB/Nb28ePHefTokbh2fHw827dv5/z586SnpwMQERHB5s2bOXDgAJmZmSQnJ+Po6IiXlxcZGRm4uLiwceNGXr9+TXZ2Ni4uLjg6OpKQkMCOHTvYtGkTMTExwt5P81pgS1xcHI6OjmK/T0lISGD//v0MGjSIsmXLMmXKFI4dOyZ+T01Nxc3NjTVr1hAUFIRKpSIpKQlnZ2eOHTvG9u3bOXnyJB8/fgQgJCSEqKgocXxcXBzR0dFAfng9JCQEgHfv3ol9379/T1hYGC9evCAkJITY2FhxfHJyMiEhIYSEhPDu3TsAEhMTRVpoaKgIpWZmZvL06VNCQkKIjIwU+QsJCSEiIkLY9+rVK1QqlTgHQFRUVKFrvH79GhcXF3bu3CnuVQFZWVk8e/ZMHB8SEsKLFy/Izs4mOzsbf39/HB0d2bVrVyFffLr/y5cvycnJITU1VdiQmppKaGgoHz58ACA6OpqkpCQA4uPjiY2NJSUlRez/uX8LzlWw5ebmkpGRwdOnT0lMTBTHxMfHF9ovJCSE+Ph4QkNDCQkJISMjg+zsbJ4/f867d+8IDAzk2LFjYgWv58+fi3v48uVLcnNzhU8SEhKEXWfPnsXR0ZHdu3eTkZGBSqXi1atXwv5Xr14Vsutz/yYkJPD27Vvy8vLIyMggLCys0L1NS0vj8ePHJCcni2M/fvxISEiICEmHhITw4cMHcnJyCAkJEcNUL1++xMfHh5CQEOLi4kRZefbsmSibBXlJT0/H2dkZR0dHLl68KK715MkTcX+Tk5O5efNmkbx8ztGjR4vUR5GRkaxbt07cdw8PD+7fv49KpcLT05OLFy+SlZXFwYMH2b59O5AfWdyzZw8fP34kLS2tUJmIj4/n4sWLhISEFPLvgwcPWLduHZs3byY6Oprw8HBOnDjBiRMncHR05NChQ7x//x5vb2/Wr18PwJ07d9i6dat4Lr4lUqg/4+8m1Dt27EBfX5/Vq1dTtmxZdu/eDeQ/pEOGDOH58+ciTA2wa9cuFEWhe/fu5OXlffG6cXFxGBgY0K9fP9avX0+VKlXw9/dnyZIlKIrC2rVr8fDwQFtbm+fPn+Pk5ISamhotW7YkLi6OsWPHsnfvXt68eYOiKEyePJmQkBCMjY0xNjbm/v37BAcHU6FCBXr06EHp0qXZvXs30dHR6Ovro6GhQWRkJCYmJlStWpUHDx6QnJyMuro6iqLw+PFjatSoQcWKFblz5w7r16+nbNmyODg4MGfOHJE/gI0bN6IoCrNmzSqSzyZNmjBlyhSGDx+Onp4eZ86coWzZshw8eBCAfv36MWPGDDZv3oyJiQl37txh8eLFqKuro6enh76+PpqamixfvhyAxo0b07NnT3H+KlWqMHv2bACmTp2Knp4eALt376ZChQosXbqUPn36UL58efT19dHT06Nly5ZCmDp16sT06dOZPn06lStXJiYmhitXrqCnp0e3bt1o1aoV8+bNIycnhx9//JHVq1ezefNmKlSoAMDt27epWbMmAwcOBKB58+YMGDCA7Oxshg4dKuyZOHEiBgYGXLlyhWfPntGtWzfc3NwwNTUt1PiD/MZVixYtqFWrFsHBwXTu3Jm2bdsSExPDvXv3MDMzIyIigsGDB1OxYkVRmX///fd4eHhgaWmJlZUVCQkJ+Pv7CxuuX7+OoaEh3t7eAFSsWBFbW1uysrJo164dixYtYuXKlWJ/gDVr1uDk5ATAzJkz6d69OyNGjEBPT4/ExEQuX75MtWrVuHLlijhm27Zt2NjY0LhxYxo3boytrS2TJk2ibdu2tGvXjrdv3xIVFYWlpSWnTp1i5MiRaGpqYmZmRoUKFTAzM+Phw4esXr0afX19wsPDCQ8Pp3nz5uzcuRMAY2NjFi9ezJs3b6hTpw7jxo0jMzOTfv36sXDhQgDc3d1p0qSJEN4C3N3d0dfXZ/z48dSrV49jx45x48YNOnXqxL1796hduzZbt27l1q1bVK9evVD4/NKlS5QvX14Iqp6eHsuWLRN+btOmDY8fP6ZRo0YcOnSI3r17U716dd69e8fOnTsxNjYmICCA5s2bM2TIEPLy8nBycqJ79+48evSI9u3bM2fOHABMTEwYP348AA8fPsTMzKzI8/U5EydOFMvLFtRHV69eRUtLi5MnTwJQpkwZnJ2dycvLo3v37syYMQOVSkWvXr2wsrICYNmyZYwYMYLc3Fzu3LlDw4YNgXyRrlevHn5+fkyZMoX69evz4MEDQkNDsbCw4P79+9SsWZPx48djZGTE8OHD0dHRwdjYmNatW3PgwAFGjRqFjo4OkF//mpqa8uLFiz/M25+NFOrP+DsJdWZmJj179kRbWxsHBwc0NTWxtrYmMzOTmJgYli1bRnp6OhoaGuLBcHd3R1EUZs+ezevXr4v0mCC/UGhoaLB69Wo8PT1RFAVXV1ch1OHh4fj4+KAoCgMGDADyRapSpUrcu3cPe3t7IiMjSUhIQFEUJk2aJIS6evXqhIeHM3jwYBRF4fr16yiKgo2NDcnJyVhaWgpbLSwsqFatGg8fPiQpKQlFUdDR0cHHx4d//OMfQqjr1q2LoiicPXuWS5cuoSgKGzZsAODYsWOMGDGiSIXo7+/PP/7xD44cOVIo9L1s2TKmTJnCjRs3aNiwIW/evCE7O5vRo0fTvHlzHj58SLVq1ViwYAEAZmZmWFpakpyczNixY9HQ0OD69eucP3+eEiVKMHHiRCC/Qho0aBDZ2dksW7YMdXV1APbu3YuOjg7nzp0jKyuLSpUqiTWFhw8fDuSLY6lSpYRoKoqCh4cHkydPpn379qSmprJixQru3bvHoUOHhP9u3bpF+fLlRSNl/PjxdOnShezsbNauXYuiKCQkJNC2bVs0NTW5efMmhoaG2Nrasn37dnr37s2oUaMK+e3ly5fUrVuXatWqAeDo6Ii5uTlv3ryhS5cu7Nu3D8jvjejq6nLkyBEgv3It8G/z5s2Ji4vDz88PRVHIyMjAxsYGNTU1ITyKorBkyRI8PDxEw+nly5eYmZlx9uxZMjIyUFdXJzAwUPjX09OTd+/e0aFDB9LT0wkODqZ69ercvXtXRB5iYmLIzMzEx8dH+LcATU1Nbty4QVhYGIMHDxZ2F/gzNDRU1A/r1q1DR0eH4OBgwsLCqFWrFhs3buTSpUuUKlVKVO4ODg60atWKnJwcJkyYwNy5c3n8+DEWFhbUr1+/yLM3adIk2rRpw4cPH2jTpg0pKSnExcXx8eNHHjx4QI0aNdi2bZsov7t27RKTIM+ePYuiKPj4+Agfrl69mq5du/LmzRsgv3Ezc+ZMIL8hV7JkSQ4dOsTGjRupUqUKly9fplevXvTv35+8vDzMzMxEp2DVqlVoaWlx9epV9PX1sbGxISIigtatW2NoaFgkL5/j6urK/fv38ff3LyLUHh4ebN26FW1t7UJCPWbMGBITE+ncuTMbN24UdlhbW5ORkcHJkycZMGAAOTk5jBo1ig4dOhS6V9u3bxcNWsjvjXt5eQmbdHR0CpXxAqGOjo7GxMSEunXr8vLlyz/M25+NFOrP+DsJdXZ2Nr1790ZbW1ss8F8QBioQ6szMTMzMzIoIdbNmzejduzdt2rQpMr505swZNDQ08PLyEgL5z4S6Xbt2ABw8eBBFUWjUqBETJkwA8sNm1tbWVKpUiZkzZ6Krq0u9evVIT09HURTKlStHYGAgR48e5dq1a4WEevz48VSoUKGIUGtpabFhw4ZCPeqXL1+ir69PtWrVaNq0aSGh/mf8kVBv374dS0tLMjMzAUTeC4Ta3d0dyK8QCoR6165dWFpa0rFjR7Zv346trW0hoa5UqRJnz55l8uTJ4qHbu3cvBgYG3L17F5VKxaJFi2jSpAnDhw8vJCRlypQRPRhFUWjYsCEVKlQQvc7IyEh++uknevToIe51cnIyxsbGNGjQgCVLlqCvry+Eeu/evSiKgre3N6tXr6ZcuXKkpqZiaGjIqlWrRFj48wZOeno6Xbp0EUL96tUrIdSKogihjo6OplKlSl8UaisrK5KTk7l16xZaWlosX76cpUuXUqZMGSHUVatWRUdHh2rVqvH69WsgPyxsY2NDs2bNOHDgACYmJsKu3xPqGjVq0LVr10IfNfiSUA8aNAhbW1t+/fVXUQd8KtQAffv2xdnZmZiYGBRFYc+ePdy6dQtdXd1CQl0QUg4ICKBixYqoVCrs7OwYNGgQS5YsYcWKFV8U6rt371K3bl3at2+Prq6uCGMDbNq0CUVRiI+PJzg4mPLly9O7d2+sra3ZunVrEaHu1q0b5cqVQ1dXl0ePHgEwYMAAMSxUUJbmz5/Pxo0bKVu2LDY2NqIhr1KpMDIy4tWrV0B+6LpAqJs1a0bDhg2xtrbG3d2d1q1bF8nL5/yeUH/33XecPXuWoUOH4uzsjEqlYu3atVSuXBlbW1tq1qxZSKhNTU1F5GbAgAFkZGTQqVMn5s6dK65XrVo1tm/fjqIo7Nix44s2fUmoS5cuzaJFi7hy5YoU6s+QQv0F/pXQ98CBA9HS0uLMmTNkZmby+vVrLl26xPXr1/n5559JS0srFPouEOq1a9eSmZkpPgrxKbt370ZdXZ0jR44QHBwshLqgorh79y4nT54s8gAU9Gw/HectoKBHbWJiwtu3bylTpgzVq1fn1atX5OXlkZSU9C/1qBVF4d69e7Rv3x4zMzMx/telSxfRq/5UqBMSElizZk2RMeqAgADKlStXRKgXLlzIlClTOHToEFWrVuX+/fsAQuji4uJo2LAhDx8+BODcuXPY2NiQkZHBvn378PLyQlEUBg4cyLJlywoJtaIojBw5kitXrqCpqQkUFeoVK1Ywb948Jk+eTJ8+fYS9ZcqUYdKkScD/9agLrvXu3Tu6d+/O1atXefToEYqikJmZSXp6OjVr1hSNilmzZtG/f39ycnKEUM+bN49nz55Rrlw5cnJyMDY2pmfPnrx//56kpKQvzoTv37//F3vUFhYW2NnZAfmCXqVKFby9vfn48SMzZ84s0qN+8OABlSpVYuvWrfj5+aGhoSGEesKECezduxd9fX0mT55Mbm4ukC9kpUuXRl1dnXPnzgH5Y7PHjx/Hy8uLd+/eYWJiwocPH4RQOzs7c/r0aUqVKiVE5+TJk0WE2sfHB21tbUxMTHj27BlQWKizs7PR0tLi9OnT5OTk0KpVKxITE3nx4gWmpqZs3LgRPz8/SpUqxf79+1GpVJw7d47BgwejUqlYuHAh5cuXB/JngH9JqKOjo2nZsiXt27fHwMCgkFAnJyfTpUsX+vXrJ/x7/fp19uzZg76+vrC1QKiHDRuGvb09hoaG7Ny5k7y8PBYsWMCaNWvIysoiJyeHUqVK4efnx8aNG0WYt6A3mpOTg7q6OpcvXwbyx491dXVFw7hChQo8fPiQ+/fvU7ly5SJ5KSAnJ4cPHz6wZMkSgoODvyjUS5YsAcDGxqZI/ZuXl0evXr3EMIe9vT22traoVCoCAgLo06cPOTk5jB49mnbt2on5EiVLlmTv3r1UqFCBMWPGkJSURFRUVKHzfyrUKpWKESNGoK6uzoEDB8jKypJC/RlSqD/j48ePondUt25dtm3bxrRp04RYFbwOsWrVKvH1HRsbG5YvX06VKlUoVaoUW7Zs4cWLF+KYxMREIbbNmjXDxsaGsmXLih5wAUFBQWhpadGmTRusrKyoW7cu169fJycnh5YtW2Jubk779u3p1q2bmKgE+ZV2xYoVv5ifS5cuoaOjQ6VKlQgKCmLevHkoikLv3r2ZMWMGJ06cIDY2FkNDQxRFIS0tjcaNG1O5cmV+++03njx5IvIRGRlJvXr1RI/ax8eHChUq0L59exYsWCDOC4gewuczut+/f4+5uTk//vgjy5cvR1dXl1WrVmFiYiJCrT179mTy5MkEBARgY2ODn5+f6FH/8MMPHD9+HFNTU1Exdu7cmdDQUKysrHB1dWXSpEn06NGDlJQUjh07JiqngqGF9+/fCzHy9/cnIiKC5s2bExAQQGBgIBUrVuTAgQOcOnUKdXV1vLy8iIuLQ1EUVq5cyaZNm9DR0SE+Ph49PT2sra1FfufNmydC35s2bQLyK+6xY8eSm5vLmDFjhD179uxBU1OT69evc+LECYyMjGjbti0dOnQQvZgC4uPjad26tRDqGTNmYGpqyqtXr/D398fS0pJp06YxYMAAbG1tCQ4OZsCAATRv3py3b98yceJE6tevT0xMDKtXrxa90gKhtre3B6BBgwZs2LABf39/Eb4uoH///nz33Xfk5uYSGRmJjY0NTZs25fbt23h4eIiQ/oULF9DR0WHWrFnY2tpibGwsIgQ//fRTkV7ghw8fqFevHv379xdpBeJ39OhRdu3aJcLS3t7eGBgYEBUVJXrUCxcuJCEhgUmTJlGrVi0mTZpEhw4dOHXqlOjxNW3aFIDJkydjamoqQvIFdOzYEQsLC3777Tf09PTYtm0bAI8fP+batWt8//33DBw4UESEBg8ejJWVFc2bNxfP9qFDh3j37h1VqlTB1dWV8+fPY2xsjJeXF7du3RIRrpUrV9K/f38SEhLYuHEjurq6LF26lN69e9OqVSvy8vKYMWMGNWvWZNq0afTp00fMudDX16dhw4ZERkaybds2FEX54oRNgGfPntGjRw+sra1JSEgQwy6QP7m1TJkyLFq0CPi/IY9PiY6OpmnTpiJ616VLF7p160ZKSgrr16+nUqVKxMbGijkm9vb2zJ8/n5YtW/Lu3Ttu375N9erV6dChA0OGDOHatWsAhIWFoampKYQ6ISGBNm3aoKWlRUxMDDt27JBC/RlSqP8Jw4YNY9iwYeL//8femYfXdL1/+yQixsRYRAgxNZGqOaaYS0w1tVSDKEVCzNESQ4SQqHloUVpElFIqQo3RmompGiVzIvM8yzzc7x95z/rlSOJLe0jouq9rXckeztrPes7e+3P22ms9z7Fjx+jcubNKN2NSUhIWFhakp6cDhXOwly5d+q+PvXnzZpVjF+X69evF1u3Zs4cNGza8sE5ra2uCgoIoKChg7dq1WFhYsHbtWqBQBIq2d+nSpVhYWHD9+nUOHz4stoWHhzN37lysrKwIDAzk2LFjWFhYiIvLwsKCWbNmiWMuXry4xBG2UOjfbt26UalSJczNzVXeX8XGxvLVV18xZcoUvL29AYRQm5qaFvPN8yNfjx8/zvDhw4mJiVFpl9JeT09P8WTbpUsXJkyYIJ7UlT5Wfu7o0aMAeHh4iHUWFhbC3tu3b4tl5Xfv7+9P7969hX8tLCxwcnIi5UkUhwAAIABJREFULy+PjRs3Cnvu3LnDpEmTxGsTT09PLCwshH+fZ9OmTSr+Lcrdu3exsLAQXd6AyoC0Y8eO8eDBgxI/q+T333/HwsKCjRs3kpeXh5OTEwcOHBDb58yZI35ABAUFYW1tjaOjI1AothYWFqSlpREaGsrs2bPFE2FR/vzzT9FbUpR27dqxd+9esawUagsLi1e6L1y+fFkM7CyNoqOolcybN4+IiAgSEhJU/Kj0ifI78/Hx4csvv8TCwoJHjx6JNllYWAj/Hjt2TLybPnr0qMr9wcLCgsuXL6scu7SR2xcvXmTOnDkqo/jLC35+fsWuwzZt2hS7DwUEBDB9+nSuXr1arA7lOIfyjBTq5yhvQl0a06dPZ9u2bWVtBgC2tra0bduWSZMm4evrW9bmvDKvMo9aKdTr1q1Ty7GLdn1LXsxff/3F9u3b6d+/v+jCVgfp6eksX76ciRMn8vnnn4v1BQUFooemaBe0RPKmkUL9HG+LUCvDiZYHnJ2d0dDQYN26dW9dGM6goCBMTU2pUKFCsalIJTF9+nS0tLQwMjJSSySzoUOHoqWlJeZuSkpnypQpKBQKXFxc1Fpvbm4ulSpVolu3biqvcp49e0anTp3EqwaJpKyQQv0cb4tQS94NXFxcWL16dYndsBKJRAJSqIshhVoikUgk5Qkp1M8hhfrNkZaWRnh4OOHh4SL7TkpKCuHh4cTExIgpORLJf4X8/HwyMjKIj48X14FEIoX6OaRQvznOnj2Ljo4Oenp6YjDV7t27qVChAt26dRNBIySS/wqbNm1ixIgRNG/enAYNGpQaqEPy30IK9XNIoX5z5Ofn07x5cwYMGCAShCgjO02aNOmFSUMkkneRDz/8EB8fH1JSUorNsZb8d5FC/RyvU6jv37+Pvb09a9eu5cCBAyxatIiZM2cChd3Ajo6OrF69GmdnZ27evEl+fj7e3t58//33rFmzhnXr1pGUlMTJkyeZM2cO27dvZ+bMmWzZskV0HZ88eZINGzYwd+5cbt26BRTOp3V1deXcuXO4uLhw4sQJAK5cucKiRYuYO3cuu3bt4uHDhxw8eBBXV1dmzZqFh4cHnp6eHDt2jP3793Pt2jW2bdsmMhZ5eXmxbNkyVq5cyZo1a8Q8y5kzZ6qkwDx27BiOjo4lzmVu0aIF5ubmQOEo24kTJ6KhocHkyZOBwghiylG+vr6+uLq6cuPGDX777Td+/PFHnJyccHFxwcXFhZSUFPz9/dm6dStLly7l+PHj5Ofns3HjRhwcHER4UGXIVBcXF5H9ytvbGxcXFzHq9+TJk9jb27Nw4UK2bNmCt7c37u7uODk58d1333Hx4kWVZA9KLl68yLZt20hJSeHQoUOcPn2azMxMkpOTOXbsGC4uLpw8eVJETzp9+rRIRAGFIUldXFxEsoeffvpJ+DU7Oxs3NzfOnj1LSEgI+/bt45dffiE3N5ekpCQREe7WrVscOHCAiIgI0a6wsDCePXuGo6Mj7u7uJCQk8O2337J7926ePXuGm5sbLi4uZGRkcOLECezt7UlKSuLq1assWbKEZcuWCTv/+OMPDh8+TExMDKGhobi4uPDo0SNiYmJYv349586dA2D79u0cOHCAzMxMPD092bp1KwCPHj1i/vz5JSY7WLhwIXfv3uXy5cslzuFWnvPbtm3j4cOHODk5ERsby/nz53FxcWHfvn0sWrSIH3/8UcwbDgkJYfv27SxZsoT9+/eTmZlJamoqzs7OIqzonDlzcHZ2JiUlhcDAQLZt28bnn3+Oq6srOTk5xMbGsn//fsaPH8/KlSv566+/yMrK4tixY9jb22NrayuCkyQnJ+Ps7Mzy5ctZvny5yFqlJC4uDgcHB4YOHcqSJUvEVDMnJyfGjh3LwYMHcXFx4c6dOxQUFODl5cW8efNEtLS7d+/i5ubG48ePcXJyIjg4mOjoaBE0JCsri19//RU7Ozvmzp3LzZs3ATh//jybN28mPT0dT09PcZ+7cOGCuA/FxMQwc+ZM4RdlZr7169eLfYpy8+ZNFi9eTGhoKHl5edjZ2XH+/HliYmJYsWKFqGfPnj3Cv8nJyWzbtg0zMzMGDBgg5sCnpaVhZ2dH79690dTU5PTp0yxbtow9e/YwZ84c5s+fj7OzM6tXr+bTTz/lhx9+YObMmWzcuJHk5GQyMzPZsmULK1asYMGCBfj4+ACFIZHXrVvHs2fPCAgIYO7cuYSHh+Pj48Ps2bN5+PAhAD/99BOurq7k5uaydetWlZgKWVlZfPfdd6xZswaAVatWsX//fnEd79mzp0T/qAsp1M/xOoU6OTkZhULB1q1b8fLyok+fPjRt2hQojKBlbm6Oj48PDg4OdOrUiaSkJIYNG8bu3bvx9PTExMSErVu34uTkJKJvjRs3Di0tLb7//ntcXFz47LPP8PX1RaFQMGDAAKAwSIaJiQnnzp2jUaNGLF26lFu3blG3bl2OHDnCkiVLqFGjBg4ODmzatIn9+/dTqVIlfHx8OH78ONbW1vTv35/Y2Fi6du3KihUrCA0NpVu3bjx69IgnT57w/vvvY2VlRXZ2NgqFQoRKBGjVqhUmJiYqU1+UFBXqZcuWcenSJapUqSKE2t7eXkQxOn/+PNWqVWPNmjWYm5tz/vx5WrduzbRp09i3bx8nTpzA0NCQnTt3cvHiRXR1dXn06BFjxoxBoVBgZ2dH27Zt0dPT486dO9jb24vIQ76+vpiYmBAfH8/jx49FJiczMzO0tLRo164dt2/fFtG07t69W+J5Ym5ujqGhIeHh4ZiamjJmzBiSkpKYNGkSGzZs4OLFizRs2JB58+aRl5dH9+7dady4MT4+PuTl5QlbL126xE8//YSmpiYTJ04kLy+Pv//+G319fczMzEhMTKRJkyYiKcfff/8tIm1ZWVmhqanJuXPniI6ORqFQ4O7uTnx8PG3btmXp0qVER0fz/vvv07lzZ7Kzs3F2dqZ9+/YkJyczZswYBgwYQEREBGZmZnh5eWFvb0+NGjUA+O6779DV1eXatWskJiaiUCi4ePEiT58+xdjYGCcnJ5KSkmjQoAFDhgwhJydHRNUrKCgQoTqVAXuKolAo2Lt3L/b29jRr1qxE/zZq1IgHDx6wcuVKjI2NCQ8P5/jx41SrVo127drx1VdfUaFCBb7++msRkvP48ePcv38ffX19vvnmG/z8/GjZsqWI2mZkZMTnn39OTk4O06ZN49ChQ9y9e5cqVaqwefNmZs+ezfz583nw4AHdu3dn1apVXL58mTZt2vD48WO++eYbmjRpAhRmKZs3bx47duxAS0ur2A18z549jBw5kr/++gsrKytatGjBjRs3MDU1pX379ly5coWzZ89iZGTE33//jZeXF40aNRI/fu3s7LCzsyMqKkr4PjAwEF1dXQoKCrh27Rq1a9fGy8uLjz76iCZNmvDgwQPWrl3Lhx9+SFhYGL///jsjRowA4JtvvhHX2NGjR9HV1RVBYqpVq8bcuXPZt2+fyF5VlKJxAJTRA//8889i/nV0dBT+Xbp0KcOHDxdpZqtUqYKHhwdffPEFy5cvF0k4VqxYwc6dO7lz5w6GhoZ8/fXX+Pn54enpiUKhQF9fn549e1K9enUWL17MnTt30NXV5fHjx3Tt2lUk6HBwcMDU1JT4+Hh8fX1p1qwZSUlJeHh4oK2tLR5cpk2bxnfffUd2djb9+/cXmcKgMGqZqamp8FPr1q1p1KgRDx8+JC0tjV69eqnEhFc3N2/elEJdlNfd9a1QKDhx4gSpqan07dsXOzs7oqOjMTY2FhdiamoqCoWCsLAwlRB2ymAiykDzSho0aICjoyNr166lZcuWmJqaYmpqytChQ4HCCFcODg74+vrSvHlzdu/ezbx58+jYsaOoo2jAjR9//JGKFSuKZWtra3r16sXNmzdp2bIlBw8e5LffflOJEe7o6EiHDh2IiorC0NCQOnXqsHLlSk6dOkWtWrVeKNT9+vXj6tWrItpV1apVVZ6oleFPz507R/Xq1Tly5AhQGDmsc+fOODg4iPoqVapEmzZthA/OnDkjglZAYcQobW1tPDw8RHKP3377jatXr2JiYkJBQQHfffcd9evXZ/LkySxZsoSVK1eKpx5XV1fatm0rjrdmzRpR4uPjMTc3p0qVKjRu3FhEz7p//z5NmjQRkb9WrFgh7DEzM6NSpUrs2LGDnJwcWrdurfLdVqlSBWNjY1JSUnBzc6N69eqYmZkBhbmpK1asSEhICK6uriJD0KlTp9DU1MTV1ZV79+4JoVbGUl+6dCk///wztWrVEuKelJRE+/btcXFxUQnh+OjRIzw9Pfnss89Uwj4qhRoQIVrDw8Np27Yta9asYfXq1VSvXl2E43R0dKR79+6kp6fTr18/tLS0ShXqESNG4OLiopLSUom5uTktWrQQyx07diQmJoanT59iYmIi1n/wwQeMHj2a3bt307x5cyIiIsjPz8fa2pru3buXKCTKpCfa2tr079+fxYsXM27cOE6fPk2HDh2KRfLavHkzc+bMKWZj1apV+fTTT1myZAlLlizhp59+Utk+duxYEbbSx8cHhULB7Nmzef/99/noo4+Awt6lwYMH07t3b6Bwvn27du0IDw+natWqojdCOa/cx8en2PmrvAaUAWLWrl1LixYt+PPPP3Fyciom1EeOHGHMmDHUrl1b9MZ17dqV9evXY29vz5gxY4q1de/evdSrV4/Tp08zdepUatSoQVBQkPDvmDFj2LlzJx9//LHwb6VKlVQCy9SrVw8TExOaNGlS4jv5orHUlWhra3Pv3j0AJk+eTM2aNQFET1erVq1ELHUHBwcaNWrE9evXOXXqlAhzrBTqpUuXEhAQQKdOndi/fz/Z2dkMGjSIHj164OnpyZMnT0hISKB79+707NkTgIkTJ9KpUyccHR0JCQmhXr16aGhoFLNdXfj5+UmhLsqbEuq8vDxmzpyJnZ0dDx8+RF9fXwh1RkYGJiYmhIWFUaNGDW7fvq1Sh3IQlhJbW1sh1Mrur6Jcv36dXbt2kZKSQvfu3dm3bx/z5s3DwMCApKSkYvsXTRoBhULdvn179u/fj5mZGbt27eK3336jWrVqYp+iQr1z505Wr17N+++/z4IFC5g0adILhbpWrVrMmDFDrCtJqH/99Vfc3d2pVq2aEM2ShLpZs2Yi3KeS/fv3q4hfUaHW09Nj165d7N69m+rVq4sb3aeffir2z8vLE5GpXF1dGT58uNg2c+ZMunTpQpcuXQgKCmLlypVUrlyZBg0aiKQaO3bsKFWolyxZwpYtWxg5ciTHjx8X4WGVTJ06la5du7J7927Wr19P69athVCnp6fTq1cvzM3NWbBggah/+/btaGpqsn37dhH7uqhQt2nThv3792NlZaUi1Do6Oujr6zNz5kyysrLIzc1lw4YNzJ49m7lz55Yq1AYGBvj5+Qmh7tChAz/99BNjx44VQq0UpL1793LixAnee++9Eru+FQoFJiYmfPDBByK2c1FeVqi/+eYbhg8fzs6dO2nXrp1Yv2HDBho0aPBCoTYwMBBhOZX06dNHpSsUCoVamQ6zKFWrVhX5lUuiqFAr2/y8UEPhk7PS535+flStWpWRI0eq5H4eMmQI9evXx8rKqtTzV8natWtp3Lgxly9fZuXKlcWEetiwYTx58kRFqE+fPk316tVp3bp1qUKtra3NyJEjCQoKYuDAgQQFBREbG0unTp2YPXs2V65c4csvvxT+HTJkiMo1W69ePZYtW0bHjh1ZsWKFWJ+cnAyULNQmJiZCqHfv3k3NmjUJDw/HwsKCM2fOMGDAABWhbtasGW5ubri6uoqUnHfu3KFy5cosXbqUK1eu0KdPH/bv309+fj5ff/01gwYNYu3atXzwwQccPXqUnj17Crvt7e05fPgwTZs2ZcKECcIPrwvZ9f0cb0qoARYtWiQSyXft2lUkGkhOTqZevXpER0fTrFkzvv76azIzMwkKCsLZ2VkIdX5+PgUFBQwePBhnZ2c2bdpE48aNefDgAbGxsfz4449AYXdWdHQ0BQUFDBw4kC1btnDx4kVxM8/IyODcuXMiI9fhw4fR1tYWg7msra35+OOPyc/PZ+3atWhqanL9+nV0dXVZt24deXl5LF++XIjthAkTePToEZqamjg4OAiBKSnsY4sWLWjZsiX+/v5AYdjGqlWr8sUXXwCF8YdHjRoFFL5Tr169+guFWlNTk3Xr1pGamsrevXs5evSoilAro1D98ccfbNq0SfRYxMXFYWpqSkFBAUePHqVy5cosWbJE1KOMg3zgwIEXdnEdOHCAFi1acOHCBbS0tEQSiLp164onsuXLl4uL2szMDB8fH+rUqYOOjg779+9HW1ub/Px88vPzWb9+PRs3bkRDQwMHBwfmz58vhBrg+++/R0tLCzMzMxGpzt3dXXR9K8+554UaYNeuXUKoExIS6NWrF0ePHhUZy8LCwmjRogUZGRls3LgRhUJBXl4ehw4dQl9fX0ShGzZsGLdu3RJC3b17dwCaNm3KiBEjKCgoENnWCgoKuHPnDu+9916JMbgVCgU3btwgLCyMDz/8EGdnZ5XtRYU6Ozubjh07Eh0dLYRaeU04OjpiaWmJq6srrVq1IiYmhoKCAmxtbUXGsJYtW4osaytXrmTy5MkUFBTQqlUrHB0dSU1NxdXVlVWrVmFhYYGGhgYPHz7Ez8+Pzp0789NPP1GpUiUeP35MamoqlpaW+Pn5ifSTsbGxnDhxQiSBULJo0SI0NDTIyckhNzcXDQ0NLly4wPfff0/nzp1JSEggJyeHKVOmqJzbM2fORENDo8QodsrzNy8vj127dqGhocHff/9NamoqP//8M3FxcSpd33fu3BE/OJVCfejQIfLz86ldu7YYIzN48GDmzp3LxYsXSxT/H374gcqVK3P8+HFyc3MZMGAAAQEB+Pn50aJFC+Hf5cuXC/86OTnRuXNnMjMzCQ0NFeF7p06dKnJs79u3T8R3V35XRdutUCi4c+cOAOPHj6dXr144OjqiUCjIzs6md+/eGBsbk5eXp9L1rcxpnp2dTV5eHjo6OiJj25dffsm+fftEMpJZs2bx999/Y2hoyKRJkzA1NWX58uVAYdf3rVu36NatG5s2beKnn35S6YVUN6GhoVKoi/I6hVr5Pu/EiRM8e/aMQYMGifcohw8fRk9Pj2nTpjFr1izmzJlDVlYWrq6u1KxZk06dOvHpp5+KX8wKRWEe2UWLFjF+/HghXjo6OigUCmrWrImLiwtHjx6lQYMGLFy4EAcHB5o0aUK/fv2IiIjgk08+oXbt2rRp04Z58+aRnJxMXl4eNjY2KhmnrK2t0dfXZ+7cufTt25dVq1aRmprK119/TePGjZk+fTomJiaEh4cTFBRE165duXfvHlZWVri7uzN9+nSRe7ooAQEB6Onp0a5dO6KiooBCkdHS0qJv374kJSXh5ORE48aNuXXrFgcPHqRSpUri5vX06VMaNWqk8hQyd+5ctLW1USgUmJqaivSTCoWCs2fP4uzsLLrdxo0bh76+Po8ePeLYsWPUqVOHq1evEh8fz0cffSSydSmf7gEGDRok3sM9T0JCAmPHjhU3nhkzZmBnZ0dubi49e/akTZs2rFmzhn79+uHm5kZYWBjGxsbcvHkTS0tLdu7cyc6dO6lQoQLXr1/n+vXrGBoa4ufnR8WKFfnjjz9o2bIlH374oZi6FhMTQ+3atdm9ezdQ2GU6Y8YMIdR3795FoVCwdu1aoqOjadKkiXhHPXToUExMTIiJiWHZsmWYmJiQlJTEwIED+fLLL0lISGDw4MG0adOGTz75hOrVq+Pq6sq6deuoWLEiVlZW/Prrr+jo6DBu3DiR/UsZitXa2lqkzHRwcKBp06Y8efKECxcuoKurKzIxFcXQ0JDx48eLHMTKXgKlf01NTdHX1yciIgILCwsaNmxIUFCQEOoFCxawdOlSPvnkE5HHum/fvnz00Uc4OTmxbNkyUlJSePz4MR9++CEjRozgxIkTfPTRRzRs2JC7d+9y+vRpGjVqhKamJqNGjSI9PR1fX186duyIlpYWXbt25dGjR8TFxfHll1+iUCjQ1dUVP4yVN3ctLS169+5drIfH39+f/v37M2nSJCZNmiR+iAL06NGDjz/+mBUrVjBz5kyys7PFNk9PTzp16lTMZ1B4I2/UqBF//PEHYWFh9O3bV9ilPDemTJkihHr37t0YGRkBhWJbv359Tp8+jZeXF23btuW3337jypUrjB49mri4OCZMmMDAgQOLHXf58uW0b9+eS5cukZOTQ9++fTl+/Di+vr707dsXGxsbANq2bcsnn3xCXFwcERERDBs2jIEDBzJjxgwRNz8wMJDBgwdjbGzM6NGjRTauP//8k86dOxcT6nXr1nH9+nWWL1/O48ePxQ9sBwcHpk+fjrGxMY8ePWL79u2MHTuWpKQkvLy8MDY2Zv/+/QQEBNCuXTsxCHPYsGGsXbuWnJwcJk+ejLGxMQsXLhQpWseOHSuEetiwYZw4cYKDBw/i7e3Nli1bMDY2LvG7UQfyifo5XqdQ5+bmiuAe+fn5REdHi+w2gFiOiIggIyNDfEa5PjExEfi/d9S//PKLSrAQgKioKMLDw4mOjiYvL4+2bdtib28v6lDmDb516xYZGRncvHkTb29vsrKygMIn2oSEBMLDw4UNSUlJ4rMJCQnk5+cDhU80ynqVI7qzsrJISEggOzubjIwMcnJyiIuLIzw8XBxDyZMnT/j888+ZOnWqGNl8+/ZtQkJCuHDhAnl5eeLYqamppKamsm/fPnGsxMREdu3apeLD7Oxs7O3tmThxovCXUqiTkpJITEwU7YqKiiIyMpLs7GySk5PFcQCx/Lx/letKmjqj/K4iIiJIT08nIyODhQsXkpKSQnBwMNOnT+eTTz7hypUr5OfnExQUxOTJk3n27BkpKSlkZGSIIDDp6emkp6eLEcMRERHk5ORw5MgRoqKiyMnJAQoHudSpU0fc0PPz8/Hw8BB2p6Wlcfz4cRITE8nLyyM8PJyUlBRycnKIiooSdUVHRxMZGUl+fj7JyclERUVRUFBAYmKi+ExUVBSpqanCxsjISBISErh79y5NmzblwIEDxMbGCh8mJSWJ80UZmz4jI4OMjAwiIiLE91OU+Ph4IiIiiIiIKBbLXulf5XcWExNDZGQkubm5QqiV349yxDeoBtZRrleO5I6JiSEhIYGYmBgmTpzI3Llzyc/PJzY2ttj3nJiYSEREBCkpKWJdZmYm4eHh4oemEqUgFd23KKmpqfz5558cOnRInI/wfwF/IiIiip1jv/zyS6n3pry8PCIjI0VdyvO3qF3K9ipf5Si3ZWZmEhMTQ3Z2NtnZ2SQkJJCZmUlGRoawISEhocRZGykpKSQkJIhrOyEhgfT0dNEzqHy1lpiYSEpKirh3pKWlERMTQ2pqqso0zGfPnpGQkKDiE+U5WfQ6VCgUXLlyhbS0NLE+NzeXyMhIkpOTycrKIi4ujtzcXDIyMkhJSaGgoEB878rPJCYmimsnISGBtLQ08f0o25yTk0NBQYG4RpX+LXo/y8jIKDVDnzqQQv0cb8M86k2bNomczf+EzMzMUnPHvoso3wn/U3+VRyIiIli8eDFfffXVa50W8rIUTc9ZFjx58oTGjRuLG+0/ITo6utRUj2XJtWvXWLhwIRMmTFBr1rC3FeV4h5JSVr6rSKF+jrdBqMeNG4dCoWDlypVlbcpbgZ6enkpy+neBy5cvo1Ao6NWrlwyMAWzduhWFQsG0adPK2hS1c/LkSXr37q32rGFvK8HBwWKa638FKdTP8TYItUQikUj+OyiFuqzTCEuhlkgkEomkBJTxH8r69Z0UaolEIpFISkB2fT+HFGqJRCKRlCfc3d2pUKEC58+fL1M7pFBLJBKJRFIC7u7uaGtrl/nAUSnUEkk54e7du3h4eODh4SEyC127do0dO3bg7OyMr68vubm53Lt3TyUMaEZGBnv37hUR0Y4cOcL58+fJy8vj5s2bIiLfpUuXRF0+Pj7k5+fj7u7ODz/8IOamZmRkcOPGDTkdSSIBzp07h7a2tgjiU1ZIoZZIygEnT56kdu3arFq1isGDB4vELkuXLsXDw4M+ffpgY2NDSkoKZmZmIgQuFKaTNDExEdPgGjVqxLBhw/Dw8KBLly5ivnejRo04duwYffv2ZcaMGeTl5TFnzhwUCoVIHXrx4kWqVq0qUhVKJP9lEhMTqVixovjhXFZIoZZIygG7du0SmYa++OILvvvuO7Ht2bNndO3alcmTJwuhnj17NlFRUWRlZYlY38oQokZGRjRo0IC6dety4cIFUc+ePXu4e/cuPXv2FEktli1bRq1atVi/fj0FBQV88cUXaGpqvtnGSyTlGG1t7WLR+t40UqglknKCtbU1H374IbVr11YR6nv37tG3b18WLFgghLpPnz7MmjWLiRMncuLECRWh3rRpE7q6ulSrVg1XV1dRz5gxY1i/fj22trYqQu3p6Un//v05deoUn332GYaGhm+24RJJOaZixYr4+fmVqQ1SqCWScoIyT7qVlZVIhajk3LlzVKhQQaXr+8GDBzRs2BAHB4diQv3xxx9jaWlJy5YtSUxM5Pjx4yI1pYuLi4pQJyUlMWrUKLS1tQkJCVFJTymR/Je5f/++HPVdFCnUkv8y48aNo3///sTFxTFkyBDMzc2BwhzlCxYsoF27dgwcOJCkpCQ++ugjJk6cyNq1a5kwYQIeHh706tWL1q1bk5ycTMeOHRk9ejTJycl069YNe3t7bt++jYGBAUuWLGH48OF07NiR27dvM3fuXNauXcv69evZtGkTAQEBNGnSpMxvTBJJeaFixYrF8qS/aaRQSyTlgCdPnvD06VMAfH19RYrGpKQk7t27x4MHD4iKiiI3Nxd/f3+8vLzw9/cnMzOT3NxcAgICCAgIICMjg4CAAJ4+fSoyFkVERACFaR79/f3JyMggKiqK/Px8wsLCiI+PJzU1lcy4ON5MAAAgAElEQVTMTJ49e4anp6f4jETyX0dLS4vbt2+XqQ1SqCUSiUQiKYGzZ89SsWLFMp+uKIVaIpFIJJISiI+Pl++oiyKFWiKRSCTlifDwcCnURZFCLZFIJJLyxKVLl6RQF0UKtUQikUjKE6dPn5ZCXRQp1BKJRCIpTwQGBspR30WRQi2RSCSS8kRKSop8oi6KFGqJRCKRlDekUP9/bt++jY6ODmfOnClrUyQSiUQiEUih/v9cunQJhULBjBkzcHNze6kSEhLySsdIT08vMXXf06dPcXNzIzQ0lCdPnrz08d+W8jIRph49esTNmzfJz88X65T+LVrXpUuXuHDhwguP9/fff5d5m93c3F7p3HgRvr6+Ja6Pj48vdj5FR0cDEBAQUObtf5Xy+PFjtfmrNAICAkhPTy9xW3JyMmfPnuX8+fOkpKTw+PHj19reoKCg19JGHx8fsrOz/+d+Dx48wM/PD39/fx49ekRUVBRubm6cOXMGHx8fTp48KWx98ODBa/HB6tWr+fnnn8Wyi4sLGzduZNy4cdjb25f4mby8PAARQQ8gPz+fuLg4AgICuHPnDlAYJMTHxwcfHx+uXLlCdnY2bm5u3L1795VsvH//vsqysq5/6pOpU6e+9L7x8fEAfP/991Koi9KnTx8MDQ0xNzdn6NChGBoaMnLkSGbNmqVSBg4cyNSpU+nVqxeGhob/+TJgwADhm549ezJ69GimT5+OoaEh06ZNo3v37mVuY1kUhUJRrFSuXJmaNWuira1N48aN0dfXR6FQlLmtZVnMzc0ZNGiQ8FHdunXf2LE7d+5Ms2bNXmrf999/n3bt2mFoaEi/fv0YOnQoAwcOZODAgcXuEbNmzcLQ0JBu3boxaNAglXX/qzRp0gQ9Pb1XaoepqSkDBw584T7dunX7n/WYmJgIWydMmMC0adPE8rRp0zA3Ny92Lyyt/eosc+bMYc6cOTRv3lzYqtxW1L+zZs1i5MiRxfZ5m8rgwYMxNDTEwsJCpf1hYWFlqo/lRqiTkpIICwsjJSWFtLQ0wsLCSvwFnpKSQl5eHomJiYSFhf3nS0pKivBNYmIi6enpIoZzfn4+8fHxZW5jWRRvb+9ixc/Pj8DAQHx9fQkNDSUkJARvb+8yt7UsS2pqKqmpqcJHQUFBb+zYcXFxhIeHv9S+kZGRxMTEEBYWRlJSEmlpaaSkpKic/0UJC/u/GOZF171Mefr06Su3IyUl5YX7vMx1GBUVJWzNzs5W6eHKz88v1tYXtV/dZGZmqnxXSor6Fwp7Lp/f520iNTWVsLCwl+oZeZOUG6GWSCQSiURSHCnUEolEIpGUY6RQSyQSiURSjpFCLZFIJBJJOUYKtUQikUgk5Rgp1BKJRCKRlGOkUEskEolEUo6RQi2RSCQSSTlGCrVEIpFIJOUYKdQSiUQikZRjpFBLJBKJRFKOkUItkUgkEkk5Rgq1RCKRSCTlGCnUEolEIpGUY6RQSyQSiURSjpFCLZFIJBJJOUYKtUQiKVcEBQUVW5ednc2NGzcASEpK4uLFi5w5c4aYmBiCg4OJj4/n7Nmz+Pv7c+nSJW7evEl0dDS+vr6cOXNGpYSEhLzpJr0xYmNjVdrq5+dXrP0+Pj4qf/9XuXDhAomJiWXdtH/MvXv3uHPnTrF1qamphIeHExUVpeKb8si/EmpfX1/ee+89atSoQeXKlVEoFDRs2BAtLS1q1aqFrq4uNWrUQKFQoKenR506dTAwMEBTUxMDAwOVUrt27WLrXlQ+/vhjZs6cWawcOHBALY4ZN24cCoUCTU1NtLW1USgUb6zUqFEDfX190daaNWu+km+UpWPHjiX6SFnGjx9PzZo1VdYNHjy41P1btGjBiBEjmDlzJleuXFGLn/+pjwwMDKhfvz6NGzcuse0vavfrKJ999hm9e/fG2tqa+vXrM2XKFFq1akXLli358ssvGT16NFpaWigUCqpXr/5KbdXR0VFZrly5MhoaGmK5du3avPfee2hqalKzZk2VfStWrEi9evWoUaMGOjo6GBgYiOvQwMCADh06YGVlVWKbFi9ezMcff4xCoaBVq1bUqlULExMTcQwdHR20tLTQ09OjUaNGVK5cmcaNG6Onp4eWltYLz82WLVtiamr6j87rf1ue92dJRVdXl6pVq9KgQQPxucaNG6Orq1smNpdlady4MZUqVUKhUPDee+9hYGCAvr4+FStWLHPb1F2U5/aoUaPo3LkznTt3RktLS233u398n/w3H/7zzz9RKBQEBgbi5+eHt7c3ISEh+Pr6EhQUREBAAIGBgXh7e/P06VOCgoIIDQ3Fx8eH0NBQlaLc9rIlICAAb29vlTJx4kQmTZqkFseMGzeOvXv34uPjI9r2pkpgYCAhISGirYGBga/kG2Xx8fF5LfZZWFjw2WefqcXPNWvW5OjRo69sQ2hoKE+fPi217W/y+3rVUtK5+yr7P38+BgUFERwcjI+Pj7jelMXX15fg4GACAwMJCAgodq0pP1facYvW9/w1HRAQgK+vLyEhIYSEhODn5ye+l5Ku8fJSXsb/AQEB+Pv7FzvHlD78rxXlORccHExoaKi4z5e1Xeouz18/O3bseHeEurxw7NgxtQr1xYsX1VLXu4aNjQ1z5sxRS1116tTB09NTLXVJJBKJOnF3d6dixYr4+fmVqR3vnFB//PHHaqlLCnXp2NjY4OzsrJa6pFBLJJLyiru7O5UqVSprM949oVaXPVKoS8fGxoalS5eqpS4p1BKJpLyiFOqcnJwytUMKdSlIoS4dGxsbhg4dqpa6pFBLJJLyiru7O9ra2kRFRZWpHVKoS0EKdenY2NhgaWmplrqkUEskkvKK7Pp+DUihfjPY2Ngwe/ZstdT1Lgp1REREqSUzM7OszZNIJC+JcjCZr69vmdohhboUpFCXjuz6Lp28vDy6dOnC+++/z4IFC/Dz88Pf359OnTrx/vvvc//+/bI2USKRvCRXr16lQoUKnD9/vkztkEJdClKoS0cKdekUFBQwffp02rZtK9alpaVhbm6ulgF4BQUFZGVlqax79uyZ2KZ8Ys/Pzyc1NZXMzEyys7NVbFEOjElJSSEvL++ljvs6B9MkJyeTkZGh9npzcnJITk7m2bNnFBQUqL1+dZCamvpSvi0oKHht7VD6KTk5WWV9bm4uycnJpKamqv2YbxMVK1bE29u7TG2QQl0KUqhLRwr1i9m8eXOxeeZff/21ilCvX78eS0tLLC0tcXFxIT8/HwBnZ2ex3tLSkr/++ouLFy9iaWnJ/fv3iY+PZ9SoURw9epSQkBDmzp3LrFmzAJgwYQLbtm0jPz+frVu3Ym1tzeTJk/nqq6+AwtCcY8eOZePGjQAMHDiQ/fv3U1BQwLZt28S4gz179vDFF19w+/ZtYdOYMWOYPn06Xl5euLm5qdhoaWnJrFmzuHv3LlOmTFFZf+rUKSwtLVm1ahXp6elkZ2fj5OTE+fPnSUtLY/LkyVhZWfHJJ5+QlJQEQHBwMNbW1tja2mJpacmePXtISUnB3t4eNzc3Fb/++OOPWFlZiXmulpaWBAcHEx0dLV7RDB06FH9/fwBhT1H/FiUhIQFLS0t++eUX4d9ff/0VgPv377NgwQKmTJmCu7s72dnZREZGYmlpSUxMjKhj3bp1fPvtt2RnZ7N582aV482ZM4eQkBByc3NxdnZm4sSJWFlZERYWxpYtW5g5cyaWlpZMnz6dyZMni3Cp8+fPZ8yYMWzfvh2AkydPMnv2bJ4+fUpubi6WlpbExsayadMm4bevv/6ahQsX4uXlxezZs3F0dATgyJEjODk5kZWVRXh4ONbW1sybN4+xY8fyxRdfCD9MnDiRGTNmMHz4cB4+fMgPP/zAunXr+Oqrr0R7IiMjcXZ25vDhw69yibxVVKxYkUePHpWpDVKoS0EKdelIoX4xmzdvLjaf/6uvvhJCHRwcTMuWLQkODuaHH35AQ0ODp0+fAtC3b18AZs6ciYaGBgDbt2+nWbNmeHt7ExcXR+vWrXn06BFeXl40atSIbt268d1339G2bVsOHDhAdnY21atX5+bNmwQFBVGrVi3s7e25c+cO7733Hvv37wfA1tZW3LxdXV3F8dzc3KhYsSIXL15k06ZNTJkyhdzcXBQKBYMGDSI/Px+FQsGMGTOIiYmha9eu1KtXjzVr1pCQkMCYMWNQKBQEBQUxf/58HB0d6dKlC4mJifj5+dG6dWsAFi5cSOXKlfHz88PAwICVK1cCEB8fz4oVK4DCELOXL18mJiaGjh07smrVKhW/Hjp0iBo1anD9+nWx/71797h9+zaff/456enp9O3bF1tbW548eYKhoSFDhgzBwcEBDQ0N7t27p1JfVFQUtWrVIjk5mR9++IFevXqxcOFCfvnlF2rUqMHDhw9xc3NDQ0ODs2fP4uPjg0KhYNy4cRQUFJCTk4NCoWDs2LEALFu2TNyTfvjhBzp27CjOB1tbW9LS0qhfvz4TJkxg6NChnDt3Dk1NTaytrTlz5gyOjo4YGxuTlpYm6jp27BhmZmY0aNCA+/fvk5WVJfy9cuVKDh06hEKhYMOGDQAcPnyYJk2aYGZmBhT+aOzduzfPnj3jp59+EuJ89uxZNDU1OX36NC1atGDQoEEALFiwAHNzc2rXrs3hw4cxNDSkW7dubNq0CScnJ/r164etre3LXyBvGbLrW81IoX4z/Pjjj1KoX8DmzZupUaOGWM7IyGD06NFCqC0sLOjWrRtQ2G1tZGQkbnSlCbWBgQG3bt1i8eLFVK5cWXRHmpqa0rt3b8zNzcXxxo0bh5GREYGBgWRlZTFu3Djat28vhPrzzz9nw4YN9OzZU0Wo27VrB8Djx4+pVKkSXl5eDBkyhA4dOrBq1SqaNm3K4sWLKSgooEWLFuzZsweAsWPHUq9ePXF8JycnleswJycHQ0NDHj58iKenJ0uWLAHA09OT48ePY2trS82aNUXPwIuEesCAAezevVsM7jl06BCVK1fG2tpaHPfevXs8e/aMS5cu4eDgQLNmzbC1tSUpKYnZs2czceJE9u7dK/xblNjYWJo0acLcuXMZNmwYYWFhAEyaNAknJyexn6mpKZaWlvj4+PDBBx+gUCj466+/mDJlyksJtaamJosWLWLlypXY2dlx5MgRACHU8+fPB+Dy5ctUq1YNBwcHXF1dsbOz49GjR8ycORMdHR1mzZqFo6OjEGqAgIAAFaEGaNeuHc2bN8fFxYVevXoJoR4zZowQaqW/582bR4sWLcR3cPPmTU6cOCF6fTp27CjO38zMTPr160fPnj0JDg4mODi4mE/fdqRQqxkp1G+Gr7/+mgkTJqilrndVqJVPI1D4DrZHjx5CqEu60f0voa5QoQJGRkb4+/vTtWtXFaE2MChMahMaGgrAqlWrhFADzJ49GwMDAyHUW7ZsISIiAisrKxWhbtKkibC5UqVKPHz4kO7du/P9998TFxdHXFyceJc8bNgwvLy8gOJCrXyiK8qaNWuoW7cu48aN4+zZs0Dhk3unTp2IjIzExMSE/v37Ay8W6oULF7Jt2zbq16/P8ePHOXToELq6uri5uREeHi6EOjg4mMWLFxMdHc2iRYuEf0NCQqhQoQK6urolCnVycjJdu3alcePGGBkZ8fTpUxISEujduzcNGzYU+40bN04I9caNG2nSpAnjxo2jW7dujBkz5n8KtZaWFkePHi12/Nu3b6OpqYmVlRVQKNTdu3cvtt/evXt57733OHfuHEFBQSpCrfTb80JtampKbGwsa9aseSmhHjlyZLHjQuH5u23bNuD/zl99fX3Mzc3R19cXPTbvClKo1Yy6hbqkC0kiu75fREFBAXZ2dtStW1esUwr1p59+CsAnn3yCkZER4eHhxMbG0qFDB6Kionjy5Ak9evQA/k+oo6Oj2b59O5UrV+b8+fOkpKRgZmbGvXv3yM3NpVOnTmzbto3FixdTpUoVfHx8uHnzJnXr1uX69etkZmby2Wef8fPPPwuh3rVrlziGvb09BQUFuLq68tFHHwGQlZVFpUqVCAwMZPPmzXTq1Ekk2nFxcaGgoIBOnTpx8uRJ8vLyGD16NKNGjRLt3bBhQ7Hr0MfHh3r16tG+fXsiIyPJyspi/PjxjBkzhqCgIFq1akWXLl148uQJBw4cYPXq1UChcJw7d04I9aJFizh69CjVq1dn27ZtHDp0iIYNGxIfHy/2v3fvHjdv3qRr166Eh4czfPhwRowYQVxcHNOnT+fDDz9k69ataGhoqAy0U35XXbp0ITo6mrZt27J582YAFf8CfPrpp/z+++/4+PiwYsUKfv75Z7S0tPD29mbSpEklCvW3335L+/btyc3NxdzcnB49enDkyBE8PDzYtGkTAP7+/lSoUIHFixcD4OXlhZ6eHkOGDOHSpUvs2bOHU6dOsWLFihK7vpWfKSrUSUlJGBkZqXR9d+/enbS0NFatWkWFChV4/PgxUVFR6Ojo8ODBA6ZOnUrt2rXZuHEjv/zyC6dOnVJ5oraxsQFUf2h6eXlhYGDAd9999wpXTPlHCrWakU/Ub4aDBw9KoS6FvLw8DA0NUSgU4vx58OCBSPd648YNwsPDadOmDZ06daJbt27Y2dmRnZ1N+/btmTZtGvB/Qn39+nW2b9+Ojo4Of/zxB7GxsTRq1IiuXbvi6+tL06ZNmThxIrGxsejp6TFt2jQyMzOxsLCgffv2fPTRR0ydOpWCggIh1HZ2dkDhYLLx48eTnZ2NlZUVCoWCHTt2sGDBAjQ0NFi2bBnBwcE0b96c5s2bM3LkSK5du4arq6t4Rx0fH0+PHj2oWbOmeIKfNWsWH3zwQTHfdOnSRfTE5OXlceTIESpUqMCQIUPo0qULw4cPx8bGBkNDQ/744w8AOnTowLZt2wgJCaFPnz4MHTqU4cOHM3v2bKKionB2dqZ37948fPgQDw8POnTowL59+wgJCWHo0KHMmDEDOzs7OnToIET1yZMn4sfEDz/8oGJjTEwM9evXZ+vWrVy6dIkPPvgAe3t7YmNjad++PW3atKF///588cUXJCcn8/TpU9FTsnTpUmJjYxkwYACTJk0iKyuLhQsXoq+vDxR2n3fp0kVkxhs2bBgVKlTA3NycW7duAXDjxg06deokBo1lZ2czd+5cFIrCVMELFiwgKSmJnTt3MmDAALy9vcnOzqZDhw5EREQAcObMGTp06ICrqytQOLJ89OjRTJkyBYCtW7fSq1cvkpOTiY+PZ926dYwePZrJkydz8+ZNoPAVwI4dO+jQoQMtWrTg1KlTFBQU4O/vT9OmTUWPUFpamkgRaWVlRdeuXcXrgncFKdRqRgr1m0E+Ub97hIaGkpCQIJZ/+eUXLCwsik3Z+Sfk5OSQmJhIs2bNhCBJJG8LUqjVjBTqN8PPP/+sNqGuVatWmed6lRQnPz8fb29vtcyfnjhxIj179hRPdBLJ24QUajUjhfrN8PjxY7UJtUKhEANTJO8me/fuZfbs2aSlpZW1KRLJKyOFWs0cO3aMqlWrqqUuKdSlI4VaIpH8V5BCrWaOHTtGnz591FKXFOrSUadQN2jQQAq1RCIpt7z1Qn3//n2VwA5lzaFDh9DW1lZLXWPGjOH3339XS13vGg8ePCh1juWrkJ2dzahRo9ixY4carJJIJBL1kpOTg5aWVplrwb8SaicnJ5WISGWNjY0NgwcPVktdHTt25PHjx2qp611j9erVYp7rv+HcuXPUqFEDDw8PNVglkUgk6uX69etoa2uTmJhYpnb8K6G2trZm+PDh6rLlXzN27FgmTZqklrp0dHTEnEKJKjY2NmoJanDw4EE5PUsikZRb3N3dqVSpkgj2UlZIoS6F5s2bl3my8PKKuoT6/PnzUqglEkm5RSnUyvSxZYUU6lKoVq0aN27cUEtd7xrqEuqIiAgp1BKJpNyiFOqyRgp1Kejp6RXLVSspRF1CfefOHapXr87hw4eJiorC19eXw4cP4+HhgYuLC1euXMHFxeWVy/Xr14mKinptJTQ0VOUYp06deunPnj17FhcXF44cOYK/v7+K3Q8fPuTUqVOEhobi5uamsu2XX34hMDCQp0+f4uLiwrVr117ogwsXLhRbd+bMGZXl1+mjqKgo/Pz8xLFOnjzJoUOHiIqKUrEjMjKy1DZcvXr1H33//6u87na/qRISEoKfnx83btzg77//xtPTkzNnzvDnn3/i6enJlStXhH/9/PzEdfUqxcvLq8zb+bLl3r17/P7779y/f/9/7vv8taAsCQkJKvu5uLhIoVY36hTqpk2b8uTJE7XU9a6hLqFW5u6tX78+RkZGNG3alAoVKoi42LVr10ahULxS0dXVpW7duhgZGb220rJlS5VjVK1a9aU/q6Ojg0KhoGLFiiImuLLo6+tTtWpVWrZsSeXKlVW2VaxYkWbNmtGiRQsUCgV16tT5n354fl316tVVll+nj4yMjFTaV6VKFZEBrKgd77//fqlt+F9t/Kfldbf7TZWWLVvStGlT6tatS+PGjalfvz7Vq1enYcOG1K9fn9q1awv/DhkyhJo1a4qY4To6OtSvX59mzZqJdVWrVhX/6+np0bRpU0xMTMq8nS9T2rdvj4GBATVr1kRPT09lW/fu3enRo4dYtrCwoGnTphgYGFC9enU6dOggStu2bVU+26hRo7dfqGfPni2F+j+IuoT6dXH69GmcnJw4deoUGzdu5P79+6/9mFevXmXnzp3s3LmTMWPGoFAoxPKePXtUUhCWF6ytrbG2tubEiROcOnWKxMREkXP5zJkzZWzd60PZbmtra9auXUtaWhr79u1TWX/ixAnCwsJISkoCYP/+/Zw9exZ/f39OnTpVxi14c9y5c4elS5fy66+/4ubmhrW1NQcPHgQKp2kC+Pn5kZWVVZZmqo3z58+LdpUn/pVQnzp16p0V6qLZjySqlHehLguWLFnywqfbS5culbWJEonkLUV2fZeCkZGRSNsnUcXGxgYHB4eyNqNc4evrK7rsny/qipYnkUj+m0ihLgU5Pat01Jnm8l0hIyOD8ePHFxPpqlWr8ujRo7I2TyKRvMX8K6G+fv36OyvUFSpUKPOwceUVGxsbxo8fX9ZmlDuOHz9eTKhHjx5d1mZJJJK3nH8l1Ldu3Xpnhbpq1apcu3ZNLXW9a8h31KUzcOBAIdLVqlWTP/YkEsm/5l8JtaenJ3Xr1lWXLf8adQp15cqVuXr1qlrqeteQQl06YWFhdO7cGYVCwfDhw0lPTy9rkyQSyVvOv05zWbNmTXXZ8q8ZO3YsCxYsUEtdrVq1IiAgoNTtZ8+eFe8gk5OTycrK4tSpU2hpaTFixAi12FBeeZeFOj09/ZVKQEAAqampKutWrVqFQqHgxIkTYl1CQgLp6enExsbi7e1Neno6oaGheHt7i5KSkkJqaip+fn4EBgYSGRlJQkICMTExxMbGEhcXR2RkJImJiURFRREZGUlkZCSpqalERkaK4/j5+Yk6fX19SUpKUjmOt7c3ISEhr9zWVy1paWkEBgaKY6ampoo2R0dHk5CQQGRkZDHbXnd53e1+nSUqKor4+HiVdUX9m5CQIJajo6NVtr9q8ff3JyUlpczb/Dp8GBYWRkBAQInblRQUFIgY33l5eWV1SwL+pVB/++235Sof9ZtOyqFQKOjXrx+ZmZncvXuX0aNHs3fvXn777Te12FBeeVeF+o8//mD06NGvVHR1dRk0aJBYHjVqFPXr10ehUNCpUyex3szMjJEjR9KxY0fx7rpx48Yq77MHDBiAubk5lSpVolatWhgbG9O9e3fatm1Lp06dMDU1xdjYmN69e2NiYoKxsTHGxsYMHjwYY2NjRo4ciZmZGVWqVBF1amtr06dPn2Lvzhs1avTKbX3VUjTIhkKhwNzcXLT5ww8/pEePHhgbG7+WoCbKVw8lrX/d7X6d5YMPPqBLly4q64r6t3v37mK5TZs2Ktv/if8GDhxY5m3+t+Wzzz7js88+E8utW7fG0NAQXV1d5s+fz9y5c5kyZYrYPmvWLGbNmsWMGTOwsrLCxsaGw4cPl+m96V8/Ub+rQv0y07MUCgWjRo0iOzsbV1fXYsKekpLCzZs3uXv3rkpQ95CQEJX94uLiitUdHR3N1atXVVJtRkREcPXqVdEln5iYyLVr18Q6T09PlV+Er4t3Vai3bNlClSpVxHvlO3fu0KdPH3x9fUlISCA6OprAwECysrKKBUUIDAzk5MmTZWH2P+LSpUv07Nmz1JKbm8v8+fOJjo4W694VXtTukoq7u3uxzy1ZsqRYve9atr3w8HAsLCxEmzMzM8X/n3zyCQEBAaSlpTFr1iz27t1b1uaqhaFDh7Js2TKcnZ1JSEjA19eXxo0b061bNxH8piz410JdrVo1ddnyr1mwYMEbFWpbW1v69+/Ptm3bsLGxIS0tTWyLj4+nb9++rF69moULF1KjRg2uXr3KkydPqFChAqNGjSIjI4PExER69epFrVq1CAsLo06dOpiYmLB+/XoWLlyIoaEhAL/++itt2rTB3t6eZs2a0b9/f6ZNm8bGjRsxMTGhe/fuLF++nN9//x07OzvMzMwYOHAgH3zwAU+fPuXgwYMoFApu375NcHAwDRs2/Me5xG1sbNi0adM/+mx5ZsuWLbRs2RI/P7+yNkUikZQTli1b9vYLdXl6op48ebJaQ4h6e3u/cB9bW1t0dHTQ09Ojc+fOREVFiW3r1q2jR48eJCcnk52dTd++fencuTMAWlpaVK5cmSdPnnDjxg0qVapEvXr1AKhTpw6ff/45UOjf4cOHk5eXx6hRo9DR0aFZs2ZUqVIFIyMj8WQ9fPhwrK2tyc3NFfGz69WrR8OGDVEoFKxatQovLy+V76pFixb/+KnYxsaGTz/99B99tjwjhVoikTyPFGo186ZDiNra2uLo6Agg3hUqWbp0qRBqAHNzc0xMTACYMWMGX3zxBd988w2HDh3CwMBACLWJiUkxoQbYsGEDM2bMEPVnZmaSm5sL/J9QAxw7dgwdHR3xIyMqKlwMwqgAACAASURBVIqEhAQh1La2tpw6dYq6devi6ur6j3zzLnd9S6GWSCRFkUKtZqZOnao2oX7vvff+ZzIHW1tb7OzsKCgo4MSJE9SpU4cjR44AsGnTJjp06EBCQgJQKNSLFi0CYMSIEbi4uKClpcX06dPZsmWLEOqVK1eWKtT6+vokJyeTnJzM5s2bRdd8UaGOiIigatWqXL9+HQB/f3/c3d2FUD99+hQofKL+9ttv/5Fv3mah9vX1JTU1tcRtUqglEsnzSKFWM59//rnahFpDQwMPD49StwcHB6OtrU3Hjh3FAK6BAwfSoEEDPDw8yMzMpGnTpuzevZsdO3bQqlUrTp8+TWxsLFWrVuXJkyeYmJhw5MgRLCwsaNCgAVFRUcyYMYORI0eSkZGBu7s72tra+Pv7c+/ePRo0aICWlhZaWlqMHDlS2GJmZsbHH38slo2MjDAxMeHw4cMMHTqUu3fv8vDhQxQKBampqWRnZ9OsWTNWrVolnspfhbdZqOvUqYOBgQHXrl0jJydHZdubEOqcnBwKCgpeW/0SiUS9SKFWMxs3blSbUOvp6fHXX3+Vuv3y5cscOHCAAwcOkJ2dDRQ+vR44cIA//vgDgL///pt169axefNm8YQbERHx/9g776gorjYOD20BRURA1GDDBoqKRkXUGOwxJkYTEyXqh0YUC0nsxo01tth7JZasLdEQ7B0DNhRBBXHFgqDSpEmRzsLz/cHZiStgiasEM88598DOzN55752Z/c1t78uOHTuIiooSfYmfOXOG3bt3ExISwu7duzl48CAZGRlcunSJ7du3c/36daBoQpmnpyeenp4atqjtUBMYGMiCBQtYsGABe/bsISMjg8jISBYsWMD58+eJiYlhxYoVbNiwQWzxvwrlXajVy0+GDRvGxo0bxeGJNy3Uvr6+DBs2rNisfwkJiX8vklBrGS8vLyl61lvAw8OD+fPnl7UZ/4i5c+dqrBXV09OjSpUq3Lhxg6ysrDcq1Lm5uQiCQFBQ0BvJX0JCQvtIQq1lpkyZojWhlsYqS8fDwwOZTMaqVav43//+h5OTU4kOE/T19dHV1UVXV5cqVapQoUIFBEHQcMjxbDI2NsbCwgJzc3MEQcDAwAAdHR2qVq1KpUqVqFSpElWrVqVq1aqYmZlRsWJF8bM69ezZk+nTp5eYnnduQRBeeN3v3LmDQqHg0KFDxMXFkZOTU+yY4OBgFAoFx48fR6VSoVKpOHfuHAqFgmrVqrF8+XKCg4PJz8+nsLCQoKAgFAoFSqUSlUpFRESEuO3AgQNkZWUBkJqayrZt29i0aZPYCwBF3tQOHTrEzp07iY2NBWDXrl3Ex8ejUCjEIZzTp0+jUCh48uQJDx48ICkpCShax//48WMyMjJISEgQk7qnKDc3lyNHjuDl5UVWVhaZmZn4+/sTFRXF3r17iYmJAYq69QMCAlAoFGKvQXp6OhcuXODgwYM8fvwYAB8fHxQKhZiioqI4dOgQe/fu1fApcOPGDRQKBY8ePSIlJQWFQkFhYaH4ffWLdEZGBgqFgmvXrhEeHo5CoeDo0aOcO3euREcVCQkJYv2lpqaiUqlISEggLS1NLO+lS5fIyckhOzu7WJ1kZWVp1A8UraHev38/0dHR4rGxsbFERERQWFhIdnY26enpJCYm4u/vT1xcHAcPHhR//E+dOsW+ffuAohgK586do6CggAsXLnDmzBmNa61QKIiPjycmJgaFQgEU/RZfvnxZo5zq3jt/f3+ysrJQKBRERESQn5/PiRMn8PLy4sCBA2RkZIj1GxISQmJiIr///jvnzp0jJyeHvXv3isN7CQkJ4hyPtLQ0FAoFly9fprCwkKSkJP744w8iIiJQKBRs376d+/fvc+XKFfGa7dq1i+joaNFmhUIhPgt5eXniPfHnn39q3ONliSTUWkabLWpDQ0ONB0Tibzw8PJDL5SiVSpRKJYGBgQQEBBRLgYGBXL58mcuXLxMaGsq1a9cICAgQ/5aUrl69yo0bNwgNDSUgIICgoCAuX76MUqkkJCSEkJAQ8bzqPNWf1enp/JcvX866devEz6XFjK5atSqurq4vFOrJkyejq6tLs2bNaNq0qTh5UM2mTZtwcHBg3LhxVKpUiTNnzrBs2TJ69erFhQsXaNSoEUeOHOHDDz8kJCSEe/fu8eOPPxIQEEDt2rU5ceIEjo6OVK9enebNm2NlZcXEiROJjo6md+/eTJs2jfbt29OsWTPxnLm5ubi5uSGTyURRtrOzIyIigv79+4urERYsWIAgCGJe/fr1A6Bt27ZMmjSJ3NxcmjRpwpQpU+jUqRPz589HpVIxbtw4duzYwXvvvcfo0aPp2bMnVatWpV27dlhZWWFra0tBQQFLlixh0aJFzJ07lwYNGpCUlET//v1ZsWIFvXv3Zt68eQCsXr2a5s2bs3r1avT09Dh48CBz5syhVq1aGsNN27Zto169ety+fVtjeeHs2bMRBEF80bh//z6CILBy5UquXLlCjRo1qFWrFg4ODiVOCO3YsSOTJ08mLi6OZs2asXjxYtq3b8/EiROBIqG0trYmPz+f06dP8+WXXzJ37lyaNGnC6tWrOXz4MC1bttToGWnWrBmzZs2iUaNGrFq1ihkzZvDBBx8wYMAAcnJyOHjwIMuXL2fZsmVUrVqVTp06Ua9ePZo2bUpKSgoDBgygQYMGQJEwfPDBByQlJTF06FCGDx+uca2NjIzE58jY2Jh58+bRt2/fYkKdmpqKTCZj+PDhrF+/nubNm3P06FGmT5/O+PHjuXbtGp9++ilHjx4lOjqaxo0bs3HjRi5evIi5uTlr164lPz8fAwMDtmzZAkCTJk0IDg4mOjqar7/+mqZNm1K/fn1WrlzJqVOnqFixIn/88QfLly9HEAQWLVpEnz592LFjB4IgcPz4cdzd3Zk/fz4TJ04kICCAZs2acfDgQbKzs2nTpg3ff/89jRo1wt3dvdTn8G0iCbWWWbFihdbseZnlWf9V3pUxal1dXRo1aiTOmE9OTn6hUHt5eVG5cmUuXbpElSpVxJn8agRBYNy4cQD88ssvBAcHU716dRYtWgRAixYtiI2Nxc3NjW3btjFkyBC6du3K5cuXcXR0JCgoCKVSKcb7/v333zEyMuLYsWPo6+vj5+eHo6Mj9erVw8/PTzzv1atXqVChAtu2bePKlSsMGzYMKHIC1L59eyIiIpgyZYr449evXz+WLl2KQqHAwMCAwYMHA0X+Aw4fPsw333zDF198wbVr17CxseHo0aPY2NjQrFkzVCoVlStXJiwsjCtXrlClShVmzpxJz549SUlJITo6milTppCamsrMmTMJCAhg9OjRGs/mypUrOXHihCjUW7ZsoXr16hw+fJiMjAzxuHr16hEcHCz61gdEIXny5AlPnjwhNTWVDh06iK0+Pz8/0VVoSXh4eDBlyhRGjBghzv8ICAjAzMyM2NhYtm3bJi67TEhIwNHRkX379qGnp8eaNWvEerpy5QoZGRmiH+h169ZplDEuLg57e3syMjIYPnw4ISEhxMbG0qJFC6BoTkvVqlXZvXs3O3bsoE6dOiQkJDBy5EhatWpFfHw8Q4cOpWvXrgQGBoovJk2bNhV7LCZNmiQuuywJQ0ND6tSpw/vvvy9uMzY2FufRTJ48GQMDA+Lj42nVqhUnTpzgt99+o3LlyuLyTbXgAtSpU4egoCDc3Nxo3749Bw4cwMTEhB9//JFr165hbW0NwPHjxxEEgaNHjwJFPQb16tUDilriJiYmYg/C0qVLadmyJbm5uXTt2pVDhw6xePFiGjZsWGKZ3jaSUGuZtWvX4uDgoJW8JKEunfIs1A0aNEAQBExNTdm1axdRUVHivk2bNr2UUOvr69O8eXP09PQYO3asxuzxp4Vazbhx40oU6tGjR6Ojo8NPP/2kcfzTQh0QEICFhQWHDh3C2dlZPCYwMLCYbaNGjcLW1pbGjRtz+PBhAPbu3YuDgwMXLlxgyJAhNG/eHCgS6tatWzNv3jysra1FoXZ1daVbt27Ur1+fvn37cuHCBT744ANSU1O5e/eu+GPl5uZGTEwMGRkZ9OjRgx9++AFra2uNHzOVSsWKFSsYMWIEixYtokKFCuK+Z4U6NDQUfX19HB0d6dOnj9gSlslkHDlyRGyRwd9CffbsWT777DP27NlDhw4dxGuZmpqKIAjUrl27xGvo4eGBIAjo6OiILfgnT57QuXNn2rdvz7hx47hx4wZQNNShFuqneyxkMhlfffUVvXr1EsXoWaFOS0ujTZs2rFmzhtGjR5OZmakh1FAkfGqhtrCwwNfXFzs7Ow2hNjExYciQIXTv3p309HQNod69ezeCINCjR48Slx0aGhpSt25dmjVrJvYQ6unpsX79egD27NmDkZGRKNReXl6sWLGCSpUqlSjUffr0EYV69OjR3Lp1i2PHjhEWFsbly5epVq0aUPSC86xQu7i4AEVDHzKZTBTqgIAATExMRKF2cXFh8uTJ2Nralqk4qpGEWst4eXkxaNAgreTl4uIiCXUplGehdnJyYvjw4cTHxxfb9zKzvv/44w+MjY05ffo08+fPx97eXlybDmBjY0Pjxo25d+8egYGBhISEMGHCBObPn092djYtWrQgKiqKIUOGsHPnTmbOnEnz5s0JCgriwIED3Lx5E6VSyUcffYRKpeLEiRM0bdoUf39/KlWqxNmzZ4mOjsbc3LyYbbm5uXTr1o06deqI27799lux63v16tViZLd+/fphZmZGSEgIc+bMEYVaEAS2bNlCcnKy6LBHJpOxefNmHj9+zG+//UZBQQGCIIhd982bN2fbtm107dqVAQMGkJ6ezoIFCwgODkZPT4/s7GwOHjyIiYkJ6enpbN68mdWrV3P8+HFRqDds2EDNmjUJDAxEEARmz55Nbm6u6CFQ3fVdWFjIhQsXqFKlCiEhITRs2BArKys6dOjAtGnTUKlUODo6olAoaN++PaNGjSoW+WjMmDGsXr2aevXqMXjwYHGs2cvLC0EQ6N+/P3l5eeTl5XHv3j06dOhAQkICMpmMU6dOUVhYiJ2dHXfv3mXkyJGirwO1UD+9/G7ZsmXo6uoyfvx4AFGoCwsLyc/Pp2HDhvzxxx9s375d7PqOiIjQEOovv/yShIQEWrRoQWJiIk2aNOH+/fvExMTQrVs3cnNzMTc3L3E5qaGhIcOHD8fR0ZFWrVqRlpZG3bp1+fbbb8nNzWXlypW4u7vz6NEjsVWrfhF6WqgXLlyISqWiT58+BAYGMmPGDDp27Mjt27fZu3cvM2fORKlUUrduXaKiokhKSkIQBDFA0cmTJzW8GVpaWjJ48GDy8/Px9vbG3d1dFOrz588TGhqKjY3Nv+J3RhJqLePl5aXx1v469OnTRxLqUijPQv08Xlaozc3NGT16tOg05umWzMmTJ8WJb99//z0pKSmcOnWK3r1706dPHywtLZk0aRKtWrXixo0bZGZm0qFDB6ytrXF1deXBgwcolUqMjIyYO3cuHh4eHDt2DIA///wTa2trWrduLS73exqVSsXw4cM1ordNnz6d//3vfwDI5XKsra158uQJ/fv3p2XLlkCRV73vvvsOAGtra0aMGEGfPn2YOXMm2dnZ7Ny5Ezs7O+zs7Pjtt98oLCxEEATkcjlLly4VW0bq7k17e3sUCgXp6ekMHDiQL774gnXr1tG3b1/kcjlyuZzr169z/Phxateuzc2bN/Hx8aFRo0YsXryYadOmcfnyZc6ePYtcLiciIoK4uDjkcjmpqans37+fXr160aZNG+RyOQEBAWzcuJETJ05w//59Tpw4ARS1FmfMmFEsXO1HH32Eq6urONzwdH0ZGRmxd+9eoKg3wtramsuXL3Ps2DHq1q3LqVOnSE9Px97eno0bN9KvXz9xrFqhUGBtba0xzh4dHU2lSpXEFrpaqM+fP8/t27e5ePEiULTE0s3NDSia9Ld27VqePHnCr7/+ypIlS/j9999ZuHAhCQkJyOVyIiMjuXPnDtu3b6egoIBFixaVGOJ3+vTp/PnnnyiVSuRyOcHBwfj7+zN69Gj27NnD3LlziYmJEev39OnTPHz4kDlz5nDt2jXxnujXrx9z586lZcuWDB06lOjoaLp06YK1tTU9e/bk3LlzKJVKWrduzcWLF/Hx8cHa2lpcSnr8+HGxWxzgypUrfPrpp0ydOpVdu3YRGhpKbm4uAwYMYMuWLfj5+TF37lxCQ0OLleltIwm1lvHy8qJbt25ayat69erPFerHjx8TFBQkzrKdOHEix48fB4rGFevXr09aWhrx8fE4Ojpy69YtIiMjsba2JioqiszMTJydnendu7dGZK3ywH9ZqHNycoiLixNn9pZEfHw8cXFx4nUtLCwkJSWFhIQE7O3tuX79uvjQP71PPYNcqVTSvXt3EhISSElJEWPiwt8zlp91mhIZGcndu3fp2rWrxmxZ9RguIM5WVqlUJCcna8z6Vr9sqMuVmJgotjTVxz+95l4QBM6cOVPsxyspKYnHjx+LNqtnOqvP/zS5ubkadZicnPxSDnjy8vLIzMz8x7OCn531rQ6m8/jxY9577z2x3OoZ31B03Z+uE/Xs56fLpK7fp5/nY8eOafRwqIX62Sh32dnZxeoHiur+ZevkVRzpqOvwZXh61vujR4/EiYzp6ekkJCSIcwrU9wn8fW3VdfvstYaioYGntxUWFpKamqpxv/8bkIRay3h5eWFoaKiVvF7U9R0SEoIgCOKkk6ZNm4rjf998843Ysl+4cCHm5uYEBAQQHR3Ne++9x8yZM0lJSaFRo0Ya447lBQ8PD2bOnFnWZmidN+3w5MGDB9SpU0djElhJrFmzhnbt2r10vsnJyfTq1QsLCwtWr179uma+kCtXrmBubq4RgrW8M3ToUCpXrszkyZO1lqe5uTn16tXT6HG5d+8e9vb2ktObcoQk1FrGy8sLAwMDreT1MmPUTwv1mjVrxK4rtVBnZmbSqlUrGjVqRHh4OMnJyTg5OTFz5kw8PT2RyWTlVqjnzJlT1mZone3bt79RoY6NjeXMmTMvdKQTGBhY4mSx56Fee61eC/wmiYmJITAwsMQWYHklLCyMgIAAreYZGBjIrVu3NFqImZmZBAYGij1xEv9+bt26JQm1NlFPBtEGryrUO3bsEIXazc0NQ0NDpk6dyqNHj4oJdb9+/Zg8eTLr168vt0KtnpX8LiEF5ZCQkHiWnJwcSai1yb9FqNevX4+enp7oJOBZof7444+JjY1l0aJF5Vaop0yZUtZmaJ3g4GBJqCUkJDSQhFrLvE2hTk5ORhAERo4cycOHD+nUqZO4TOObb77BwMCAU6dOERcXR+3atblx4wbx8fE0bdqUYcOGkZGRgZ2dHU5OTuWuC/FdnUwGkutYCQkJTSSh1jJeXl5YWlpqJa8XCfWtW7dYsmSJmGbPns0nn3xC//79USgULF++nPv37xMUFMSSJUuIjIwkJSVFPB7g119/xdPTU5x9W17w8PBg0qRJZW3GG6FKlSr4+/uXtRkSEhL/EiSh1jJvU6hL4smTJ0RGRmrl/P9mPDw8NOJfv0s87aRBQkJCQhJqLfO2x6j/q7yrk8lAEmoJCQlNcnJycHR0FKO/lQWSUJeCJNSlIwm1hITEf4WcnBxMTU15+PBhmdnwzgl1165dtZLXqwj1s76E33WOHj36zk4mk4RaQkLiaaSuby1TFi1qpVLJjBkztHLO8sKUKVPeaaFWKBRERUW9k+nYsWNiZKrU1NQ3co6//vrruXV4+vRpjc/bt28v8bg5c+aIvrx37tzJxo0b2bdvn7hf7Te8pBQWFsbSpUvZu3cvXl5e4vGXLl167fLNmzePv/76i6ioKI4ePUpUVBTe3t6sWLGCO3fucOrUKXx9ffH29iYgIIADBw6wdOlSvL292bFjB56ensjlclatWsWsWbPYtGmTmPeFCxeQy+UsX76cO3fuEBUVxebNm4uVT6FQaHxeuXIls2bNem6dvEravXv3S9XF/fv3xTr19fUlKiqKXbt2ifkcPXq01HP4+Pi8lC0bNmx44THBwcHMmzfvtct99+7dYmW8d++eJNTa5G0LdVpaGk5OTkRHR2vlnOWFkJAQMQrTu4YgCBgZGVGxYsVyl0xMTGjQoAENGjQo9RiZTIaxsTGmpqaYmJi8ETsMDQ3R19d/7v6nP5d2bLVq1TAzM8PIyAgDAwPMzc2RyWQ4ODjQsWNH3n///VLTBx98QOvWrWnbti1t27YVj2/fvv1rl09HR0csg0wmE//q6upSoUIFDA0NMTQ0RCaTYWRkJO6TyWTo6+ujp6eHIAjo6emho6ODnp6emLeRkZEYK71ChQpi/ahjqKvTs9tMTU3R19cXz+3g4ECNGjXQ0dHBzs4OAwMD6tSpg42NzXPrTZ1sbGxeuj7Uz4u6TgwMDES7ZDJZMdvVydDQsNR9Tyd1fT0vGRsbo6Ojo7GtWrVqJZ6/evXqGvbVqFFDLLepqWmJZZS6vrXI2xbquXPnMnDgQI14xNHR0dy7d09jyVV6ejohISEaQQfS0tJISkoiKSmpWBzZ69evc+fOHdG5f2ZmJklJSWKQ+pMnT3L16lUyMjJISkoSAwUUFBQU64ZPT08nKSlJfBvMzMwU7VWpVP/oLfHpeMnvGtevX2fnzp0a2zZu3Iivry/Lly/H19cXX19fIiMjuXDhgujveuXKlcV+EMzNzbGwsEAQBFxdXf81QyT79u1j1qxZQJHrUV9f3zK1R0JC4vlIQl0KLxLqtLQ0dHV1WbZsmbjNzc0NZ2dnnJ2dcXBwICAggOTkZNq0acPUqVPp2LEj3377LQUFBUyZMgV7e3ucnZ1p06YNq1atAqB79+7069ePwYMH06lTJ4KDg8nIyMDR0ZGFCxdy7tw5TE1N6d69O4sXL8be3l78oZ0zZw5TpkwhNTUVR0dHPv74Y3r16oW9vT19+/YFoEWLFgwZMoS0tDT8/f1p2rTpK9fNuyzU/5To6GgaN25c4tu+iYmJGFlNQkJC4lWRhLoUXiTUe/bswcTEhDNnzgDg5+eHubk5vr6+XLlyhfbt2+Pv70/t2rXFNceRkZGYmJjw4MEDNm7ciCAIpKSk8Mknn+Dg4MCBAwc0on/Z2toya9YsVCoVPXr0wMPDg++//16MrxsaGkqFChUYPnw4UOSsw8/PTwzaHh8fT3R0NPb29qxfvx6AmTNn4uTkRHJyMnfu3KFhw4avXDeSUJfMDz/8UKJQN2vWTPJ2JiEh8Y+RhLoUXlWod+zYUezcN2/exNLSEhcXFwCN6Flqoe7cuTOVKlXiwoULzJo1SyOPUaNG8dlnn4lCbWNjg52dnUb0pe+//54PP/wQLy8vevbsCaAh1ADOzs4aQl21alUGDBjAZ599RsWKFV+5biShLpmoqKgShfrmzZtlbZqEhEQ5RhLqUnhVod69ezc6OjrExMQAReO/165dw8LCgk8++YSCggJRqPPz8wkKCsLKygqAMWPGYGFhwYQJExAEgcTERKBIqL/44gtRqOfNm4dMJmPr1q0atqjHQXfs2AG8WKjVLeqTJ0+iq6v7ynUjCXXpqF+21GngwIFlbZKEhEQ5RxLqUniRUF+/fh1DQ0Nx4lFcXBxNmjSha9eu/PTTT3z33XecOXMGV1dXLC0tOXnyJLt27aJnz56oVCoOHz6MiYkJ586d48cff8Ta2hofHx9MTU2ZPn06cXFxtGvXjl9//ZW8vDwaNmzIiBEjWL16NU2aNMHPz0+0ZeLEibRs2VL8/LRQ5+fn88EHH4hCPWHCBFGob926Rf369cnMzHylupGEunQuXrwojlVXqVKFbdu2lbVJEhIS5RxJqEvhZWZ9jxw5UgxzCUXd3+bm5giCwLJly8jNzSUrK4uhQ4diZmZGixYtuHDhAgCTJk2iefPmdOjQgTZt2ojrkmNjY7GyssLW1pa+ffuSlZVFbm4uzZs3p23btkRERPDxxx/To0cPsUv1l19+YdSoUaIdc+fORRAEfvrpJw4cOIBMJsPJyYlLly5RsWJFzMzMuH//PnK5HD09PTZt2vRKdSMJ9fNZtGgRgiDQtWtXcZa/hISExD/ltVQtLCwMMzMzbdny2nh5edG6dWut5PUyQu3l5UW3bt1ITk7WyjlfhcLCQp48eUJwcDDjxo0jLCzsrZ37XRXqnJwcbt26RUpKikaKiori2rVr3Lx5k5SUFLy9vcV0586dYsf/+eefmJiY0KdPH43twcHBeHt78/DhQ27evIm/vz9XrlzRyO/ixYvi/+pzXb58WeOYkJAQDh48qLHtVdKz9r5uunPnDgcOHOCvv/4iKCiIa9eucfToUby9vbl58yZXr179x7a+iaTt8j+bLl68KN4XkZGR7N+/v5gNwcHBhISEvPWy79ix46WOi42N/cflT0hIwMfHh5SUFB48eMChQ4fw9/fnwoULHDlyRONYHx+fMr8fvL29+eOPP1i7di3x8fEllqmseS2hViqVVKpUSVu2vDZvu0WtUqn4/fffcXZ21so5X4X09HTc3NyoWbMmw4YNE9dSvw3eVaH+/fffqV+/Po6OjhrJ3t4ea2trbGxscHR01BiDbtCgQbHja9eujSAIVK5cWWN7zZo1EQQBe3t7bGxssLCw4L333qNChQpifpaWluL/bdq0ER03GBgYIJPJMDc3x8HBAVtbW/EcDRs2pGHDhujo6GBtbS1+fjpZWFiI/z9r7+umBg0aoKurS6VKlahRowbW1taiowkbGxvee++9l3Js8U+Trq4u5ubmGg4v9PX1qV27NvXr18fY2Jj69etTp04d6tatq/XyP5ssLS3F+8LOzg5dXd1iNtesWZNatWpppfw6Ojoa99DLpipVqmBiYoKxsTEymUzjfmnVqhVt2rT5R6lly5ZUrFiRNm3a0KRJE/T19bG0tBQd1jx9bMWKFYvZZWZmVqK96mPVz4I6T0EQqFGjBtWqVaNy5coIgoCFhQWWlpaYmZlhbm5OeQrGTgAAIABJREFU3bp1iz0TVlZWxba1bt26WHnatWsn+ksoK15L1UJDQzEyMtKWLa/Nfy0ox7Vr1/j999/f+nnfVaFeuXIlLVu2JDY2Fiiq34KCgjK2SkLi7XP48OGyNuFfwalTp9DT0+PEiRNlasdrqVpcXBzvv/++tmx5bf5rQl1WvMtC3atXr7I2Q0JC4l9Cbm6uJNTaRhLqt4Mk1BISEv8VJKHWMpJQvx0koZaQkPivIAm1lpGE+u1QnoU6KSmp1GhnklBLSEg8iyTUWubmzZvUrVtXI5rVP8XFxUX09FUahYWFhIWF4ePjQ3BwsBgdKT8/n5s3b+Lj40NSUhIFBQVkZGSQnp4upszMTHJzc8XP5YnyLNTqNc5z587l0qVLGpPF3rRQP3nyRIyIJiEhUT7Q0dFhxYoVZWrDOynUp0+ffu28XFxccHV1fe4xW7dupXfv3uzZs4d69eqxatUqVCoVCxcuxNHREXd3dz744AN2797NqFGjcHV1pXPnzgwbNowJEybw6NEjOnfuzJEjR17b3rfJuyDUglAUw/ezzz4T10m+SaG+ffs2PXr0YNGiRW8kfwkJiTeDnp4e+/fvL1Mb3kmh1gYuLi5Mnjy51P1ZWVno6OiwePFioGgNrp6eHjdv3sTW1haAGzduYG9vT79+/YiJieHu3bsIgqDhrUoQBLZt20ZeXh6FhYVasf1No1Qq6dq1K9HR0f/KlJKSQl5eHnl5eWRmZpKYmEh0dDQJCQlMnz692PpMPT09Vq5cybfffvtGW9Tz58/nm2++eWP55+XllRjzWr2tsLDwXxMT+2V5HZuf7i0p78vstNFLKPHPkLq+tYy2hXrJkiWl7n82KEdISAg1a9Zk9+7dWFhYlPid0oS6cePGuLm5ceDAgXIh1kql8oXOFKpXr46RkRGCUBSP2cTEBB0dHczNzalRo8YbTR07dmTYsGEMGzaMXr16YWNjIzpF0NfXf67dzxNqlUrFjh07kMvlyOVyjShmagoLC9mwYQNyuZyzZ8+Sn59PdHQ0crkcZ2dn3n//faZNmybeN3l5eaxbtw65XM6vv/7KkydP2L17N5s2bUIul7Nu3ToyMzNRqVRs27ZNPHdOTo6GXbt372bYsGF89913xMTEoFQqkcvl/PDDD3z33XdMnTqVsLAwpk6dyi+//AKAXC7n+PHjFBYW8vjxY1atWsXy5cvJyspCpVKxZcsWDh8+TH5+Pp6eniQmJrJ+/Xpx7salS5dYtGgRjx494ujRo6JtcrmcyMhI9u3bh1wu16gf9f4ff/yRmTNncvLkSeRyObt27QKKfDPI5XLWrl3LjBkz2LRpE999953YS3bq1CnWr19PVlYWISEhYl1s2bJF41wPHjxg/Pjx+Pn5cf78ecaOHUtAQAC//PJLib7tU1NTSUlJobCwkIMHD5KcnExeXh7x8fHMmTNHrLPc3FwWLFjApUuXxPLs3r2bJ0+eIJfLiY+P5969e8jlcs6dOwfAo0ePkMvl7Nixg4SEBPH+UKdly5YRHR0t1ol6+/79+0lMTGTNmjWMHTuWtWvXkpubS3BwMHK5nDlz5iCXy3ny5MnzHleJ10QSai2jFmptuPR0cXHh2LFjpe7fs2cPOjo6/Pzzz8DfQh0dHU3z5s1JSEgQj01NTQVKF2qFQkF4eDgymaxM3JG+Kkqlko8++oi0tLRS05MnT0hPTyctLU0ch1dvz8jIeKNJfa6S0pw5c0oU6AoVKmBlZfXCFrWLiwvm5ubMmzcPExMT9u3bp7F/7NixdOnShRUrVtC4cWPu3r3L8OHDWbp0KTNnzqRt27asWLECJycnsrOzmTVrFlOnTmXjxo3o6+vzww8/YGBggJmZGU2bNkVPT4+LFy/i6+uLu7s70dHRtGvXjtmzZ4vnjImJwdnZmbS0NGbNmkXFihXZuHEjYWFhCILA4sWLWbFiBUeOHKFx48Z8/vnnAOJYPYClpSXnzp3D0tKSXr16kZ+fz+eff864ceM4evQo+vr6/PLLL3Tp0kWMmb5+/Xo6duxIQUEBUVFRongYGRlx6dIlLl++XGxy51dffcVXX31FnTp12LdvH7Nnz2bAgAEYGBgARRNCGzVqxM8//4yuri42NjZYW1tTs2ZNrl27xpo1a8SgMseOHaNy5coUFhYyceJEjXM9ePAAe3t7Fi5cSG5uLtWrV6dnz5706NEDLy+vYtf1q6++YsiQIYSEhCCTyVi7di27du3Cw8ODgIAALC0tmTp1KsHBwVSpUoXffvtNrMMVK1ZQWFiIIAgolUru3buHra0tS5cu5cyZM9ja2rJ9+3aMjY3ZsmULrq6uGBsbk5aWxsKFC2nUqBHz5s1j8eLFjBkzBkEQ2LRpE7NmzWLkyJHs2LGDyMhITE1NmTFjBsHBwdSsWZP79+/j5OQkDae8YSSh1jJqob5169Zr5+Xi4sKBAweee8z777/Pp59+SmpqKvv376d79+6kpKTQpUsXunfvjqenJ7179xZ/GG7cuIEgCOIbcE5ODoIgMH/+fHx8fHBychJF/d/MuzJGraurS8OGDfn++++5e/fuS41R//DDD5ibm3Po0CEqVKigMXb16NEjdHV1OX78OADLly/Hz8+PypUrc/78eebPn0+fPn3Iysqic+fOhISEoKOjw/jx4xkzZgzdunUjMDCQVq1aiUFavvvuO7p3787y5cvp1KkTrq6uuLq68scffxSzLS8vj2nTpmFsbCx6rPv2229ZvXq1eEyTJk2YNm0aKpVKFGp/f38GDx4MwK1bt6hWrRrnz59n27Zt9O7dm++++04MmbphwwZ0dHS4c+cObm5u7N69G4D4+Hhmz57NokWLaNq0KQ8ePOD27dtUrVqVgIAA0tPTxd6iXbt2YWNjI9rk7e2NsbExt2/f5qeffuLs2bP4+flRsWJFTp48yZUrVxAEgY0bN5Kfn0/9+vVZv349kydP5uuvvwbgxx9/RBAE9u/fT3JyMlFRUTRv3lyMGnf+/HkEQWDIkCElXldXV1ecnJzo06cP9+/fB+CTTz4hICAAKBq2ULtLrlmzJnPmzOHx48d0795drN86deqgVCqJjIykcePGLF26lOnTp2NkZIS7uztVqlRh0aJFTJ06lQoVKojnbtSoEeHh4QCMGzeO5s2bi/sqV67MX3/9BRSFUO3YsSOhoaHUrl2bBQsWULduXfbs2VNimSS0gyTUWkYt1Oofuddh5cqVeHt7P/eYiIgIunbtioODA/369SM4OBiAP/74gwYNGmBkZISHh4covuvXr6dhw4Z89dVXABw7dkz0L9upUye8vb3LxVhaeRbqp7vtf/75ZyIjI8V9LyPUY8aMQSaT0bFjR/T09FAoFOK+9PR0dHV1+fPPP8Vtu3fv1hDqFi1aEBsby/jx4wkJCcHQ0JCDBw8Cf/e8eHh4iPfw6tWrqVy5Mq6uri9chaBSqfD09KRixYrPFWorKyu+/vprUagXLlwoCnVsbCwtWrRg/vz5nD9/nsqVK9O4cWMiIiKAopnrVlZWfPTRR9ja2vL48WOgZKFWB+3p0KEDTk5Oor/kZ4U6MzMTe3t7WrVqxdixYwFEoVYvpXtaqJs2bcqpU6dYtWqVKNT79u1DX1+fpUuX4uDggFKppHnz5qI72JSUFARBEHsTnsXV1VX0f61+jk1NTUWh3rdvH8bGxty4cYOaNWvy9ddfc+LECQRBEOu3b9++3Lp1SxTqLVu2MH36dNzc3AgNDSU0NBQoeql4nlDPnDlT3Gdtbc3Vq1eBv2Odq4X65MmTODg40LZt2+feFxKvhyTUWkYt1Ldv337tvF5m1vd/lfIs1Nu3b6d169Yl9rq8jFB//fXXWFhYUFBQgJWVFf3799fYb2BgQN++fUlOTiY8PJzjx49TuXJlzp49y+zZs2nRogUPHz7E1dWV0NBQHBwc+Prrr8Xu7fj4eDw8PFizZg0As2fPZty4ccyePZv27dsTEBCAn5+fOOTyLH/99Rfm5ub4+/sDMGrUKFFICgoKxJYewKBBg5g7dy4KhYIGDRpw7949YmJieP/999m3bx/79+9n2rRp1K9fn3nz5onn2Lx5M4IgiN3vd+/eJSgoiNmzZ6NUKrG3t+f+/ftiGNzs7Gy6devGpEmTAFAoFNStW1fjpdTb2xtBEBg3bhzwt1D/9ttvxMXFUa1aNa5evUpWVpbY9X3kyBGx/rdv3y4OE9SoUYO5c+fStGlTlEolcXFxNG3alMjISGxtbUsMsODq6oqLiws1a9ZkypQpFBQU0LdvX1auXAkUrfCwtbWloKAAa2tr8UWof//+Yv02adKEhw8fEhERgZ2dHUuXLmXdunXo6enh7++Pn58fW7ZsYdu2baJQh4WFFRNqQRDECXSWlpasXbuWgoICJk2axMqVK0WhjoqKYsuWLRgbG4tj5hLaRxJqLaPNFrUk1KVTnoUaEFtZz/IioVapVHz55ZfIZDK+/vprjIyMit1r7u7uCIJAly5dGDp0KGlpaQwcOJB+/frRvXt3zM3N+eyzz/jxxx9JS0sjJCSEli1bIggCnTt3Jj4+nh9++IH27dsDMHnyZPz9/Xn06BHOzs7o6urSrl07rl+/Xsy+nJwcBg8ezLZt28RtDg4OTJgwAYD79+9Tu3ZtOnfuDBS1UgcOHEheXh4dO3bk448/ZsmSJXz55ZeoVCrc3d0ZN24chw8f5r333uPkyZNivs7OzqLgDRkyBHt7e/bv38+iRYswNzcnODiY5cuXIwgCX375JU2aNMHPzw+AESNGULVq1WKhWb/88ksuXrwIwMWLFzExMWHs2LFMmDCBSZMmkZKSws6dO+nRowcpKSksXrwYJycnoKhrulatWgwaNIgVK1Zw+PBhGjVqxLp169i5c6f4YtO/f386duwo9hCoqV+/Pi4uLpw/f5569epx5MgRli9fTq1atTh9+jQuLi6EhoYSHh6OpaUlP/74IwBVqlQRJ7FVq1aNXr160bdvX0xMTNi0aROJiYmMHDkSCwsL+vfvz/3795k4cSLVq1cHil562rRpI3a3T506FUEQxOt7+PBhevfuTWpqKtOmTSM3N5czZ85gZ2eHs7MzHTp0KHHMXUJ7SEKtZdRCHRcX99p5eXh4SEJdCuVdqEvjv+CZ7Ouvvy536/YlJMoSQRCYOHFi2drwOl/+twq1NlrU+/btk4S6FJRKJXZ2dmVthtb5Lwi1hITEq6Grq4unp2eZ2iAJdSlIQl06SqUSExOTsjZD66xcuZJu3bqRm5tb1qZISPxj0tLSUKlUJCYmijPtIyIiCAsLE9ODBw9ITEwkMTGRvLw8Hj16JO579OhRGZfgn6EePoAifwYZGRnFjsnIyCAxMZGoqChycnLEOrhz506p+erp6b1wYvGb5p0U6pIcUbwq5UGoT5w4wccff8y9e/e4efMmXl5epKWlvfHzvqtd3+olV4IgoKOjg56enuhq1NTUFGNjY4yNjTEyMsLQ0FBjn0wme64jFX19ffHYskoVK1ZELpezcuVKMa1Zs4YNGzaIn1evXs3WrVvZsGEDnp6eDBkyhM2bN7N582aqV69O8+bNi+VrbGys8bljx45lXlZTU1PatWtXbJutrS1btmxh9erVrFy5ksGDB/PJJ58wf/58+vfvj5WVFU2bNqVbt26MHz+erVu3it8dOHAgAwcOLLXc5TXZ2tqK/1euXJlmzZrRrVu3Uo83MjKiR48e4ueWLVvSv3//Eo9t1qwZNWrUKPMyvihVqVKFTp06IZPJqFGjBlWqVGHjxo306NGDChUqaMUt9evwTgr1f6VFnZycTKNGjfjoo4/EJV5vw0vRuyrUABcuXMDHx4fTp0/j6+uLj48Ply5d4tKlS5w7d47z589z9uxZzp49q7Hv119/fa5Qq73YqY8vi+Tv78/p06fx8fERk6+vr1gW9edLly5x9uxZLly4IH7P39+/1HzPnz9fpuUqLSUmJhbbdu/ePXGGvY+Pj1jGp8tw4cIFTp8+/cL8/63lftV079498f+AgAAePnz43Hv13LlzZW6zttPly5dJS0vjzJkz4rOgLue5c+fK3L+FJNSl8KpCHRwcjI+PD0ePHiUuLo7CwkJu375NWFgYeXl5REREcOvWLVJSUlCpVPj6+nLkyBGuXLlCdnY2SUlJhIWFoVKpSE9P59atWzx48IDMzEzCwsJ4+PAhBQUFxMTEiLNlIyMjOXToEJmZmaSkpIiRut406rXIEn+TlJREhw4dShXqQYMGlTs/2xISEv8OJKEuhVcV6jp16rB27Vo6dOiAh4cHOTk5NGvWjM6dO5Oenk779u0xMTHh8OHDKBQKnJ2dGTNmDBUrVuT48eNcvHiRhg0bkpSUJLpynDhxItHR0QiCgKurq+hnuE2bNgCi28To6GhCQ0Np3749ly9ffu2yvwilUim6kZT4mzVr1pTampZmWktISPxTJKEuhX/a9f3VV1/xv//9j7y8PLp37y46cPjoo48wNzfn4sWLODg44Ofnx927d6lTpw43btwgIyMDZ2dnkpKSRIcGGzduBP5eHpCUlCS2zgAN/8YtWrSgdu3aovejN4lSqeTDDz984+cpj5Qk1P+mZ0RCQqL8IQl1KfwToR4zZgwWFhasXbsWKPIrbWRkRGxsLD169MDa2pro6GiysrKYPHkyU6ZMoVKlSpw6dUoU6uHDh7Nnzx4qVaqkIdQdO3Zk5syZLF68uJhQL168GLlc/laFWltRyt41Dh06pCHSMplMdEMpISEh8U+QhLoU/olQp6enM3LkSHHp0qJFixg2bBhQFMygQYMGANjZ2YnRd9S+fEtqUasDHgiCQMuWLYmIiODIkSPFhHrUqFGoVKq3KtTv6mSy16WgoICOHTuKQj1w4MCyNklCQqKcIwl1KbyqUKtnCy5evJh69eqhUqkYOnQo5ubmACxZsgRTU1NOnTpFw4YNcXZ2Zvfu3RgYGLB8+XJSU1OxtbXl+vXrXLx4ESsrK3766SceP36MIAi4u7uTn5+PQqGga9eu5OfnM3z4cARBIDExkfz8fKysrLh48SK5ubns2rXrjYm2JNTPZ+vWrRgYGFC5cmUxJrGEhITEP0US6lJ4VaEOCgqiY8eOtG/fnsDAQFQqFQcPHuTw4cNA0bKfffv2ERkZSVhYGN7e3pw4cYIjR44QHBxMTk4O3t7e3Llzh6ioKLy9vTl37hwJCQni//n5+QQHB+Pt7U1eXh5nzpzB29ubuLg4/vrrL2rVqsX+/fvJyMigVatW1KlT57XroSQkoS7O025r4+LiqFmzJh07diQzM1PjuEePHhETEyPGxy4sLCQtLU2MEpWRkaERPzs7O1v8bmZmpsb31LHL09LSePToEVFRUWJeDx8+LJbUka7+KWlpaeTm5hIVFSXmmZ+fT1xcnPi5oKBAtFG9LSoqivT09BJtKi3Fx8dTWFj4St952aQtSnKooUZ93XNycigsLCQvL4+YmBgePXpEVlaWhr+DpKQksrOzKSgoKFa/z0t5eXlar5uoqCit1c/rkpCQoPFZ/eyobU1JSSEhIUGr98m/NXqhJNSlUB7WUZdGYWEh06ZNo0mTJm8kf6VSSbdu3d5I3mXNoEGD0NXVRV9fX0x6enoan8tDqlatGoaGhlhbW2Nqaoq1tTXm5ubltjzaSpUqVUJfXx8dHR0NZzR6enpivbzL9WNiYoKZmRlVq1bFzMwMCwsLrK2tNdLzvv9vqhuZTEaFChVK3V+5cmUMDQ3F616lSpViZX02yWSyYvno6uoyfPhw8vPzy+x3SRLqUijPQp2fn8/evXuLtea0hVKpxNbW9o3kXdYMGjSItm3b4unpKaa1a9dqfC4PKSUlRQzFeOHCBaDounl6erJmzZoyt6+skp+fH5s2bWLJkiUsWLCABQsWsGHDBtatW8fatWvZtGkT69evL3M731Q6deoUwcHBxMbGEhQUVMyLY0FBwXO//296FrZt28ahQ4dK3R8QEMBvv/2Gp6cnvr6+3Lhx44XP//bt24vl88knn9CuXTtSUlK0/4PzkkhCXQrlWajfNEqlEj09vbI2440waNAg9u/fX9ZmSEhI/EuYPn26JNTaRBLqt4NSqaR+/fplbcYbYdCgQfzwww9lbYaEhMS/BEmotcx/Sajz8/OJjIwkMjLyjXVxl8a7PJls0KBBeHh4lLUZEhIS/xIkodYy/wWhTktL44MPPsDIyAgjIyNq165NUFDQW7VBqVTSunXrt3pObZGfn09ISAg5OTkl7h80aJC4Tl1CQkJiw4YNklBrk/+CUB8/fpyZM2eyf/9+9u/fz82bN9+6DeVZqE+cOIGpqSnz588vsSdCEmoJCYmn2bt377sh1IsXL9aWPa+FtoXawsLiuccUFBQQERHB1atXCQ0NJTs7m9TUVIKCgggKCuLq1asEBQVx584dCgoKyMvLQ6lUcvXqVe7evStGUyosLCQiIoIrV64QEREhrrsMDw9n5cqVXLlyRWwBfvvttxw5coTQ0FCuXLkirvvLyMggIyODgoICcnJySE9PF4PG5+bmkp6eTnp6uriuE4palzExMc9tYZZEee/6Vi/LsbCwYP/+/Rp1Mnjw4Dcq1J06dcLd3f2N5S8hIaFdpK5vLfOqQp2amlrqAveXaVFv3bqVDz/8kKVLlyKTyVixYgV//PEH1apVo1OnTixatAgzMzM++OADUlJSWL9+Pb169WLZsmU0adIEd3d3CgoK2Lp1K59++ikjRoxAX1+fkJAQxo4dy6effsry5cvp0KED/fr1IysrC0EQaNeuHb6+vnTv3h25XE5eXp5GUA5vb28EQSA+Pp7ExEQGDRrEZ599xsCBA+nQoQPXr18HinyTu7u706ZNG7p27UpeXt5L1VtYWBj29vYkJydrNaWmpvL48ePXzicrK6tU27Ozs4sFzWjfvj3Tpk0jMjLyjbeoP//8c0moJSTKEZJQa5lXFerq1aszcuRI0tPTi+17GaGuUKECc+fOBeDXX3/l/PnzxMbG0qJFC9GGOnXq0Lt3b548ecJ7773H2bNnAfDz88PS0pJly5bh4OBAZmYmOTk5vP/++1y7dg0bGxsxKEdiYiIGBgbcv38fQRD4888/gaIAEHp6enh7e9OiRQvatGlDRkaGGGUrPj4eb29v9PT0yMrKIicnB0EQGDt2LL/88gt2dnZERERw+/ZtBgwY8NJCHRMTQ+PGjalWrZpWU/Xq1bWST40aNUp1aFCjRo1SY0ZbWlpiZGT0QqFOTk4mJiZGbIWXxIMHD3jw4IFGnd67d49Fixbh4uIieiJTc//+fdHTl0qlIjo6msePHxMbG6uRR35+PuHh4aJXsqcpLCwkNjaW8PBwnjx5AiDmFR4e/tqTDh88eFDqvpSUFJKTkwkPDxe35eTkiF7UoqOjiYiIIDw8nPj4eKDII9fTx2dnZxMeHq6RHj58qHHex48fk5mZSWpqKrGxscTFxXH//n1xf3h4ODk5OeTn5xMVFUVERATZ2dlERERoeI/TFnl5eaSmpmpse/DgAbm5uahUKvE+SU9PFz1txcfHa/zox8fHi3UCRffJ03Xw6NEjsa6eTlDkAS08PJzo6Gix0aG+B8LDw597j0q8HJJQa5lXFWr1D7SZmRlTp04lNDRU7I5+kVCrW7dqoYaih1Yt1EuWLAGKhHr37t34+flhYmLC0aNHgSKXo1ZWVsyYMYNGjRqRm5sr5vNsmMvc3FysrKyIiIigS5cuHDhwQDzW0NCQ6dOns3HjRoyNjenatSuhoaFUqVKFpKQkFi9eLIbCBJg5cyZOTk7Mnj2bjz766KXq6VmUSiWCIODh4fGvTK6urnz++eca6YsvvsDV1RVXV9cSRVomk9GzZ09q1ar1XKG+du0aDRs2xM7OjqZNm9KtWzeNF73CwkL+97//8fnnn9OtWzc6d+5MTk4OAwcOZODAgTRs2JC6devy1VdfMWvWLPLz8xkxYgRdu3alefPmtG3blps3b6Krq4tMJqN169bo6uoSGhrKzZs3MTY2xsnJCV1dXc6fPy+eNz8/n549e9KzZ086d+5M165dSUtLY8WKFfTp0wcPDw969OhBamoqfn5+6OrqcuDAAVauXCm+7Lm4uFCjRg2uXbvGtGnTqFGjBnFxcXh5eeHi4sKAAQOwtLQUe22MjY3x9PRkxowZWFhY8Omnn6Kvr8/q1asBGD16NOPHjyc3Nxc7Ozvc3NyoVasWjRo1IjMzk88//1xjrsPhw4fp3r07giBgZ2dHy5YtcXBwoGLFiqxfvx4AHR0dPDw8qFWrFhUrVqR79+6Ympqyfv16CgoKsLGx4eeffyYqKormzZvTpUsXlEolZmZm4rK7tLQ0evTogY6ODrm5uXz00UfY29tz4sQJzM3Ni837CAgIQBAE9u7dy7Jly7C0tCQpKYkxY8bQr18/nJ2dUSgUxMXF4enpSd26dbl58yY7duygatWqpKen8+233+Lm5kZqairdu3enZcuWqFQqhgwZgouLC9WrV2fYsGGEhoaip6eHvb09Hh4e1KlTh3HjxuHm5kbXrl3R09OjQ4cO1KlTh1u3buHo6IiHhweOjo707t0bgF69emFiYkKnTp3Q0dHh4MGD/+g5lyhixYoVklBrk38q1OpUu3Zt3N3diYuLe6kWtSAIfPrpp+Tk5HDr1i08PT1FoVa3mOrUqcPw4cPF4wcNGkRhYaEo1BcvXsTe3p7PPvsMgF9++QVfX19at24tjgPn5+czevRoEhIS+PzzzxkxYgQAgYGB6Ovrc/LkSTZu3Ch2fSclJWFqakpSUhIbNmxAEASxhTVz5kw+/PBD5syZQ+PGjYmIiKCgoIA1a9a89Di1WqjLK09fc2NjY8aOHcuZM2fIycl5qa7vKVOmMHXqVKZPn469vb1Giy4/P5+mTZsSHx9PUlISfn5+REdHU6lSJTIzM1m2bBnu7u6Eh4fj6OhIWloalStX5osvvsDe3h68bkjcAAAgAElEQVRTU1Oxx+LMmTPExcVRu3ZtOnXqRI8ePbCysqJHjx7Url2b8ePHi+c9c+YMMpkMHx8fYmNjuXz5MgcOHMDCwkIMs9m+fXt+/vlnbt26JYYp/euvvzAyMuLYsWNs3ryZGjVq4O/vT926denQoQOpqalUq1aN48ePk5+fj5ubGzY2NuL9+80337B06VICAwNJS0tj1KhRODk5ER8fT4sWLbh06RIqlYrZs2eTkpKiUb8TJ07ExsZGHKqIiooiMzMTQRCYNWsWMTExREVF4eTkRM+ePbl48SL6+vqkpKQgl8upX78+t2/fZu/evXTv3p28vDz69OnD5MmTCQgIoHHjxixcuBCAGjVqsH79erEnYsyYMejo6IjnrVChAhYWFsyYMaPY9b537x7169fn1q1bjBkzBn9/f44fP46RkRFQ1DOgo6PDjBkziIuLo1atWoSEhBAbG0uXLl3Izs5mx44duLm5AfDNN98wf/58QkJCsLCw4MMPP6RKlSpUr16dO3fuoK+vz8iRIwEYOnQoe/bsITAwEF9fX4yNjfHy8uLGjRvMmjVL/N04ceIElSpVwsfHh169elGrVi127tyJnp6eJNSvyb179ySh1iZqoa5duzbHjh0TU82aNZk0aRLHjh3D3d1d3F5aF6ggCDg7O79QqBcsWICenh6CIGBlZSVO8NLR0WHy5MmkpqZibW1Nz549ycvLY/bs2aKwTpgwgWnTpgEwYsQI0dewuoUxcuRIrKysWLNmDUOHDhV/cC5cuIClpSXHjh1jwIABtG3bFoDFixeLQh0eHo4gCNy5c4e7d+9ia2vLhAkTCAsLw9DQkBUrVgBgZmZGp06d2LlzJ8OGDXtpX7blWahVKhWCIGBgYICzszN3797V2P+yQl2xYkUaNWpEo0aNuH37trjvp59+om3bthpd0+ohi8zMTLZu3Yq7u7vY4tu0aROOjo5iwIyCggISEhJo06aN+P1Vq1Zhb29Pq1atxJ4aQON67du3D5lMxsmTJ8VtO3fuxMLCgkuXLgEwYMAAPDw8iIyMpHHjxsDfQg2wefNmzM3N6dChA1u2bKFLly6kpaUhCALHjx8HYNy4cQiCIAp17dq1mTdvnkb9NGvWjFGjRoktvOcJtYWFBfXr1+eTTz4Ru5B1dHT4+eefxfwUCgVmZmYMHjxYbFmvXr1aFOr79+9rCHWzZs3o1KkTlSpV0hDqFi1aYGlpSXBwsIZQA/z5558IgqDRFa8mOjoaBwcH9PT0GDt2LAUFBezbt0/jGVC39AEMDAywsbGhQYMGzxVqT09P3NzcxC5rdW9eSUINaAg1QK1atRgwYAAA/v7+mJmZ8dtvv9GrVy+MjY3/z96Zx9WU/3/83DZRiWyDZCc7054Q2RnbDL6MacYWxlbWmDThaxnLjC1rJL5RWSJGlhaUPUKyDrIVEpX25T5/f/S459dVzZjpqjTn+Xi8H497z/ncz3l/Pudz7ut8drp06YKamhoeHh4F0iTx8bx8+VISalWiEOphw4axfv36v7Q/66u0trb+S6FOS0tj27ZtrF+/ntDQUCCvP3njxo14enry+vVrtm3bxp49e8RR156enuzevRtPT0/xxsfExLBt2za2bdumVKvduXMn69evF/elVhASEsKGDRvYuXOn+HAfPHiQnTt38ubNGyIiIli/fr04v/ro0aP06dOH0aNH4+3tLcZz+vRp1q9fz7Zt2wrsVPNnfM5CnZGRQevWrVm7dm2h5z9WqCdOnEh2djaamppK3R/Xrl2jevXqbNmyhZcvXxIQEMCTJ0/Q1NRUEuqYmBg6dOhASkoKLVu2ZP369bx69YolS5aIQn3s2DGysrLo378/8+fPZ/HixdjY2BAREcHBgwfx9PQUr/vw4UPU1NSYNGkST58+5dy5czx8+JAqVaqwc+dOIK8Jb9asWX8q1Pr6+uzYsYPU1FSxRm1qaiouq+ro6EifPn1Eob58+TK1a9dWqrUtXrwYQRDE68bGxjJ//vxChdrFxYXAwED09PTYsWMHAOrq6qIgQ16/c6dOnWjdurV4LL9Q3759m379+olCHRERIb4Iubq6kpWVxRdffMGuXbvo1asXLVu2VBLqtLQ0hg8fjrm5OTY2Nty5c0fpfj99+pRWrVqxYcMG6tevz+PHj8XxIWlpaWRmZiKTycT0Kpq+/6xGPX/+fC5dukTVqlVZtWoVr169Yt68eUBBod61axfw/0KteIYdHR1p2LAhKSkpnDlzhtq1a/Po0SP69u1L/fr1SUlJoUKFCvz4449/Wp4l/pyMjAxJqFXJ32361tXVVRJomUzGwIEDef/+fZmdR10W+JyF+q/4GKFWlJdx48ahpaUlbnoBeTXiIUOGiLX248ePk5ycjJ2dHZMmTWLgwIHi7xXla/Xq1aipqSEIAlOnTiUhIQEbGxtkMhkhISE0adJEjL9q1aoIgiDuc56flStXinErtld98OABRkZGCIKAtrY2d+/eJSQkBEEQcHZ2xsvLiwoVKuDl5cWvv/6q1EetEGoHBwcEQeDy5ctYW1uTnZ1NeHg41apVw9PTkzFjxqCjo8Pp06eBvNpp/qmNgiCItfOvvvqKb7/9lnfv3mFlZSX6m39LVkWLVv5tJG/evCnWHiGvli0IAgEBATRr1oxt27YBec+0ovvK1NSUKlWqcObMGXR1ddHV1aVZs2ZYW1uLQp2enk6TJk3YtWsXPj4+CILA0qVLlfL15MmTCIJAZmYmX331FTNmzABgyJAhNG/enKlTp4rpXbJkiSjUiufk3bt3YpkICwujRYsWVKpUCQBPT08xD7y8vDh+/Dhqamp07NhRHBQ6dOhQAJYvX45MJmPEiBFAXqVA0adfsWJFcdDd8OHDxTibNm1KcHDwn5ZniT/nsxfqV69eKTXRlTZ/V6j79esnzqcdPXo0YWFh4jlJqIvmw6bZ8kR5XvDk999/BxCnCp4/f75AGIXglXfu37/PokWLChzPyMgoMLr9xYsXhYaV+Hdw6tSpz1uoX758yezZs1XlS7H5u0JdvXp1Ro8ezaNHj5RGXYMk1H/GgwcP0NfXL203PgnlWaglJCT+Pp99jToyMrJMrVCl6pXJ+vTpowKvyh//lqZvRf+/gtzcXHEucm5urtLCKpmZmaSmppKVlUV2djZyuVw8VlbsU5N/8aDs7GxxTrji+llZWaWeB38nH3Jzc//RPOSsrKwCaxLkj0uRJ/nDKOZ+K36rKF/FKUOxsbEEBweLKyeGhYURHx+vFObevXuEhYVx5swZcZyKwof842VycnJIS0sTn4n8AxkVvqanpyuVe6DE7+3FixcLPa7Ye1uRZsW8/qCgIJ4+fSqGU6wKmf++K7ppPluhvnHjBnXq1FGVL8XmxIkTVKpUqcBm6P8Ef39/unfvrgKvyh/Pnz9X6jctT3z77bfUq1ePwYMHM2DAAKW52AMGDKBHjx4FPg8ePJi+ffvSo0cP+vXrR//+/Rk4cCB9+vShR48eZcY+nFuuShs0aJBSfvXv35/+/fvz1VdfiddX5FFp28emaeDAgQwcOPBv50W/fv3o169fkXEp8qRv377i+d69e9O/f3/69u1Lv379GDBgAD179ixWnn355ZfIZDJq1KiBoaEh2traWFlZKYVp1KgR2traaGlpYWFhoeR/7969C5T9r776Sry/+c/17NmTXr16MXDgQNHnwYMHl/i9rVy5cqHHq1WrRvPmzenRoweNGzemffv2tGjRAkEQaNu2rRhu0KBB9OvXT+m+29nZfd5CHRkZKc7jKwvs379fZTW9bdu2MWnSJJXEJZfLWb16NREREeTm5jJ79my8vLxUEndpUJ77qN3c3OjYsePfNisrKwwNDWnQoAFNmzZFS0sLXV1dmjRpQsuWLcVBTP8kblVZUau1FWaGhoY0adKEunXr0qxZM+rWrVsgvrZt29KuXbtSTdPfsW+//ZZvvvlGKZ2KNBZmHTp0oG3btuL3jh07YmJiQr169ahbty7NmzfHysoKU1NTOnbsSKtWrTAyMqJVq1aYm5sX6Yezs/M/ToO7uzunTp0Sp9Bt375d6fysWbPEsnzp0iVycnK4d+8eCQkJbN++nYcPH5KYmMjkyZNJT08vUP4/Zf67urqyd+9eAHbt2sWZM2f+9vOpWJXxU9G3b98Cftva2n7Sa34MklAXwX/+8x9xvnFxycnJoV+/flSpUgVHR0d0dHQIDAxUSdylQXkW6n/Kq1evMDExQRAEatWqRYUKFahcuTJVqlShbdu22NrafvQSrRISEhL5KbZQa2hoqMqXYqNqoT516pRK4oK8uZpJSUkkJSUVurb454Qk1AWJj4/H2tq6yLn5H075kZCQkPhYii3UZWlQkaqFOv+iCx9y/PhxdHV1xZXJhg8fzpEjR3jx4gVLlixh5MiRdO/enYsXL/L69WscHBy4du0amZmZ9O7dm1WrVhW5c1dZ5+nTpzRt2rS03ShzKJ6HD01bW1ts8pOQkJD4uxRL1W7evImmpqaqfCk2qhZqxUpDhTF+/HjOnz8vNncmJCTw+PFjjI2N6dOnDw8ePEBNTQ1HR0fu3btH48aNWbduHaGhoaipqYkrD32OREdH06lTp9J2o0wyduzYAkJtbGystHiHhISExN+h2CuTWVtbq8qXYlMaTd8uLi5K1xQEgYkTJ4rr8QKiUM+ZM4fVq1fTokWLz16oy9K0vLJEdna2uHqYIAioq6tz5MiR0nZLQkLiM6ZcLSFaFoS6YsWKODg4kJqaSnR0NAcOHBCFety4cSQkJLBo0SJRqJOTk0lKSlKJzyVFdHQ0hoaGpe1GmUQul+Ph4YGOjg6CIJSpBYEkJCQ+T4ot1GVpUJGqhfr777//0zBJSUlYWFigpqYmTvC/efMmVapUQU1NjcqVK/P8+XNu3bpFgwYNWLFiBadOnUJDQwNra2tev36NlpYWPXv2VInPJUV0dLTSzkOfE5mZmUWOvpbL5eTm5hbbUlJSaNiwodI2oh9aZmamSq71sfbhwh0lee3SttTUVKXvintdVBlQ5E/+8lBU2ZDL5SorN6VhikVpCisjivz48HhR4T6MO385+1zy6M/KRGlSbKEeNmyYqnwpNqoW6jVr1vxpmMzMTPbu3cuKFSuUjj948IAVK1aImxQkJCQoraG8atUqcTu9NWvW0L59e5X4XFJER0eLuy99bvzyyy8MGTKEAwcOFNh/OywsjNmzZxfbvv32W7S1tWnQoEGRYXr16qWSa82ePRtnZ2fc3NzE7y4uLuLnBQsWsHDhQpYuXcrixYtZsmQJixYtUtm1y7pNnToVQ0NDpk+fLh5bunRpgTxZunQpS5cuxdXVVcyf+fPnM3v2bHH/8cLid3V1xdXVtdTT+U9t9OjRODg4iOlV5MPSpUv573//i6urKz///LN4bPHixbi6uiqFU+Tbh3EvXbpU/PzTTz+VajoV91Jhbm5uLFmyhJ9++kk8pygThaWttDc2kZq+i0DV07OKYsOGDVy9evWTX0eVfM591L/88ou421Dr1q0JDw8Xz61Zs4Zu3brx/Pnzz8pevHhBXFyc+D02Nlbpc1xcHLGxsfj5+ZW6r2XBjIyMRCttX8qS+fr6ivkyc+ZMxo8fj5GRES1btqRfv34sWLAAIyMjgoODS93Xv2svXrxQ+h4XF8fLly958eKFeC4uLo7ly5dja2uLmZkZRkZGjBw5EkEQmDlzZin+axVTqJ88eVKmlpIsyelZ/2aio6Np3bp1qa/ZXJTlb9rOysoiLS2N1NRUcnJy+O9//1tgVLaGhga7du1i7Nix9O3btxRzVkJCoqzh4uLyeQv106dPad68uap8KTaqFmpp96zCUWzKYW1tXSatc+fO2NnZYWdnR5cuXbCxscHa2pquXbvSoEGDIhclEQRBEmoJCQklPnuhLu9N35JQF050dDQGBgZ4eXkxZcoUhgwZQvfu3UvEfvvtN1xdXcnOzmbOnDls3LgRLy8vpbXTd+/eXeTvmzRpUqhA6+npUb16dUmoJSQklJCEWsX824T6xo0bBRbSyMzM5O3bt5/0utHR0fTq1euTXuNToeijzm9Dhw7l2LFjrFixQhJqCQkJJSShVjH/NqGeOXMmgiCQmZlJmzZt2LFjBwD6+vrMnTv3k00r+Jz3o84v1FpaWvj4+Ijn1qxZIwm1hISEEpJQq5jPSagVm3T8XZKSksRN2+/evYudnR29evVi7Nix4ujxpKQk7OzsCAkJUanPCj5nof7tt99o27Yt+/btK3DuUwt1lSpVGD169CeLX0JCQvVIQq1iSlKoAwMDMTY25ocffiAjI4O7d+9ia2vLzp07GTZsGK1bt+bcuXMAPH78mJ49ezJ48GAANm7ciLm5Oc2bN2fkyJFkZ2ezcuVK7O3tSU9PZ9q0aRgbG7Nz506GDx9Oq1atCA8PZ9euXTRu3BgXFxeSkpIYPnw4jo6OPHv2jK1bt7Jz506ys7ORy+U4OztjYGCgkrz4kM9ZqN+9e8fLly8LPfephXrWrFmSUEtIfGZIQq1iSrpG3bp1a2xtbUlPT+fcuXN07NgRAF9fXwRBEDdxP3ToEIIgsG7dOmJjY1FXV+fYsWNMnz4dmUzGvn37mD17Nra2tqSlpfG///1PTIeDgwPq6uoEBgaKTd2///477969w8rKChcXF3Jzc2nXrh3GxsY8ffoUADc3NwRBKLTmWFyio6OpWrWqyuMtbdasWUPnzp15//59kWHOnTvHnj178Pf359SpU+Tk5Cidv3fvHgcPHsTX15eQkBBSU1OJiorCz8+PkSNH0qhRI7Zu3crZs2eRy+WkpaXh7++Pn58fISEhPHz4EH9/f7y9vfH29sbf31+cdnb8+HFGjhzJ0qVLefDggXjN3Nxczp07h4+PDy9fvuTq1ascOnSIxMREfH19CQ0NBeD69esEBQUBeftnBwcHc/bsWYKDg7lz5w4vXrwgKCiIW7dukZOTQ1BQEOnp6dy+fZugoCDCwsK4evUqcrmc58+fExQUxKtXrzh//jy+vr68evVKzKP9+/fj6+uLv78/MTExeHt7c/v2bQBCQ0M5evQor1+/JiAggP3793Po0CFycnLIyMhgz5497Nu3jz179hAWFgaAt7e3+FmBj48P586dIysri5MnT+Lr64tcLuf06dOsWrWKuXPncuzYsQIrTmVkZHD+/HmCg4N59+4dZ86c4dy5c4SGhirNqz979iwZGRkkJSURGhrK6dOnCQoK4tGjR7x+/ZqjR48SGxsrhj9x4gQ+Pj7s2bOHw4cP8+jRIyIiIrh79y6QN0smLCyMS5cusWfPHgICAvD29ubChQvI5XKOHDlCaGiomIYLFy6QmprKsWPH2L9/vzjt8MmTJ+zZs4cHDx5w5coV9uzZIy5X/Pjx4wJl1tvbm6tXrxIVFYWvry8Ab9684cCBA0RFRYn3KD4+nqCgIO7du0dsbCxBQUHcvn2b9PR0goKCiImJIS4ujuDgYF68eEFOTg537txh3759nDx5kqysLGJjYwkODiYsLIzw8HCCgoJISkoiJCSEwMBAfHx8OHr0KA8ePCApKYnz589z7Ngx9u7dy+PHj0lKSuL06dOcOnWKffv2cfbs2T99HksCSahVzKVLl6hZs6ZK4voYob5w4QK1atXi5cuXTJkyRRTFQ4cO8c0339CzZ0/ev3/PtGnTUFdXZ926dRw/fhw1NTUOHjzIwYMH8ff358WLF8yePZs6deowZswYLC0tRaH28PBAXV2dJUuWMGnSJFGoExMT6dy5My4uLgQGBlKlShVsbGxE3z61UNeoUUPl8ZY2a9asoVOnTn+6X/i6deuoXLkyy5cvR1tbm7Nnzyqdb9KkCW5ubhw5coRWrVpx7949WrZsyapVq/jhhx/o2bMnR48epVGjRty/f59evXoxcOBAduzYgY6ODrt27aJPnz5YWVlx8OBBtLS0WLJkCcHBwdjZ2bF161aaNWtGs2bNlK67ZcsWKlSowJkzZ7C1tcXY2JiHDx+yefNm+vTpA4Crq6v4+fnz5xgYGHDs2DF0dHTYtGkTMTExVK1aFT8/P+Lj4xEEgZiYGLZu3SqWJWtra/bs2UNQUBD6+vo8f/6cVatWoaOjI67E99tvv7F69WrWrl2LpaUld+/exdzcHAcHBwD69u3L/Pnzxd9t2LCBqlWrcuLECSDv2VuxYgVVqlQRVz7U1tZm8eLFSmm2s7NjxIgRZGVlMXbsWEaMGMEff/xBw4YNCQoK4tdff0VTU5Pdu3cr/e7NmzdYWVnx1Vdf4eHhwX/+8x9OnDhB3759qVu3LllZWaSmpjJo0CDS09O5cuUKnTt3xs/PD0EQCA8Px9/fH0EQePLkiRjv4sWLmTBhAm3atOHIkSOsW7eOiRMn0rBhQwC++eYbnJycWL58Oerq6ri5uTF58mTatm3Ls2fPGDhwIL179yY3Nxc3Nzfq1atHWloaffv2VfpfO3/+PDVr1uTRo0fcuHEDHR0dmjVrxuDBg8UX9fyYmZnh5+eHk5MTGzZsIDMzEwcHB4YPH86LFy8wNTWlb9++xMXFIQgCjo6OPHnyhAoVKrB161bi4+MxNjYmKiqKM2fOYGBggIeHB+Hh4bRu3RpfX1+qVKnC4sWL8fHxQV9fn3Xr1hEYGIggCKxfv5558+YxZ84cqlevzpEjR1i1ahV79+5l0KBBBAYG0q1bN0xMTHj79i1ffPEFc+bMwcnJiYYNG5KYmFjk81gSSEKtYg4fPoy6urpK4voYoU5NTWXIkCHIZDKcnZ3FJtVDhw6xcOFC+vfvz+HDh/nll1/EbS4VQh0bG0tubi5paWmkpaUp1aj37NnDiBEjAAgICEAQBObPnw8gCjXAjBkzEAQBFxcXevbsqSTUCxcu/KRCrWg9KE+sWbNGXJ+7KPbv34++vj5bt26lYsWKBAQEiOfCwsJQU1MjMDBQPLZnzx6qVavG9evXWbJkidj0XalSJXbv3o2amhrGxsaYm5tjbm5OREQEkydPxt3dHch7MZDJZNjb29OkSRMxnOK8An9/f3R1dfH396dDhw60bt2amJgY7t69S7du3Xj//j3Lli1j8uTJ4m+qVKnCtWvXqFKlCgcPHgSgVq1anDhxAkdHR2QyGTExMWIZVLQMZWZmEhERQc2aNYmOjsbU1BQ9PT0iIiLENIeFhREZGcmAAQOAvBcJDQ0N3rx5w9ChQ4G8NZTv3r0rCqpiMKSbmxuhoaHUrFlTFOqaNWvSuXNnrly5wtOnT8nNzeXQoUP07t2biIgI7O3t+emnn9ixY0eB3excXFyYO3cu6urqDBw4kOzsbL7//nsEQcDc3Jz4+Hggr0asq6vL77//ztSpUzl06BCQ91Jz/vx5kpOTEQSBZ8+eiUJ99epVXrx4Idba3d3d6dq1q3j98PBwKlWqxN69e7GwsADy/h80NTXFlQ9lMhnHjx9n2rRpzJgxg4iICObNm8ekSZMAmDhxIlWrVhXTfvPmTYyMjHj9+rV4TUEQuHnzZqFldsCAAchkMjp27IhcLiclJQUTExOxBcTT05OaNWsSERGBnp4e48aNIy4ujt69exMQEEBiYiIdO3YkNTWVyMhIateujYeHB6NGjaJKlSpYWFhgYWGBs7OzWIYiIyORy+WYm5vz5s0bIK8FJP9mPl26dGH8+PFi+dXS0iIoKAhDQ0PGjx9PvXr1aN68eamvte3o6EivXr1K9YWhXAn16dOn0dfXV0lcHzuYLCYmBl1dXaW+x6VLl7JgwQJWr16NjY2NuHvWypUrefjwITo6OrRq1QpHR0fGjRvHuXPnmDZtGp06dSI1NRUvLy9xn2/F2/eJEyfIyMgQ/zBTUlIYMGAA3bp1A2Dt2rVYW1uLTbH//e9/kclk4p+NKvmc+6j/jI/po96/fz86OjqsXbsWPT095s2bp3ReJpOxYsUKcRMCX19fatWqRUxMjJJQd+jQgT179oi1WblcTmpqKtnZ2QWEukuXLowdO5a5c+cCeVtpKpqzFfj7+6Ours7ixYtJTk7GysqK+Ph47t69S/Pmzbl06RJff/21KNRZWVmMGjUKQEmoBUGgXbt2nDt3DmNjY1GoO3TowC+//IKRkREBAQGiUK9bt44tW7ZQpUoV7t+/L/ocFRWlJNRxcXHUqVMHMzMztm7dCuS9WPfo0YMHDx7Qtm3bPxVqRY155cqVmJmZ8ebNG0aPHo2pqSnu7u706NGDn376iePHj6Onp0dmZqaYHjc3Nzw9PXF3d8fd3V2sLWtra1O3bl3Rb4A+ffpgaWmJnp4eDx8+BODZs2fs2LGjUKFevnw5HTt25OjRo0BBoQb47rvvMDMzE1+2PxRqOzs7rly5wrRp0xg0aBDu7u506NBBFGpXV1f09PSYPn06Wlpa7N69GyMjI65evUpWVha+vr7o6upibm4upjs/AwYMYObMmTRs2JBr166RnJxMixYtxK14t2zZQqNGjcQadefOndmwYQMdOnQoUqivX7/O6NGj6d27tzi4VTFV1MjIiJiYGORyOXXq1BFbHT4U6pYtWyoJdaVKlXj8+DGGhoZ899132NvbY2hoWGhzfkmi+P8tTcqVUB8+fBgNDQ2VxPV3Rn1XqVJFqWY1Y8YMWrVqxcWLF1m9ejUPHz7ExsZGfIDfv39PrVq1qFy5Mrt37yY3N5dGjRpRv3593r17R5MmTTA0NCQ+Pp5+/frRoEEDTp8+jZeXF4aGhjg5OZGYmMjAgQNp3Lgx0dHRNGjQgPr16xMdHQ3k/dnp6emJD5EqKc9C3bx5c3HDlMLYvXs3BgYGJCUlUaNGjQKb0jg7O6OpqcmkSZP48ssvuX//PjKZTOwz/fbbb0lKSsLIyIhbt24xc+ZMtLS00NPTw8TEhJiYGCZPnszq1auRy+X069eP6OhoTp06hba2NrVr16ZLly4sW7ZM6bp79uwRayTr168Xm75nzJghNne7u7uLO+nHDCEAACAASURBVMLt3r2bzZs3k5GRgb6+vpJQb9u2jczMTDp16iQK9ZAhQ4iPj+fLL7/E1dWV8+fPU716dbKzs9m3b5/Y9J2cnMywYcPIyspi6tSpolBD3iDKxo0bi322irSfOHGCmjVroq2tjZ6eHl988QU5OTlKQq2pqcmyZcuYM2cOlpaWJCQkMGTIEEaMGEFubi7Tp09n6tSp3Lp1C0NDQ2xsbHj27Bn6+voFxCs+Ph4LCwumTp3KypUrqVSpknguJiaGChUqiONL3N3d+eGHH4oU6ocPH9K+fXvc3NzE8I0aNRLTCHkvRZqamly6dAnIE2oNDQ2OHDmCu7s77dq14/Hjx0ybNk28r1999ZX4sj5s2DCqVauGn58f2tra/PTTT9StWxcPDw/279/PokWLCA4OpkqVKgwYMEDpmU9KSkJDQ4Pw8HAmTpwo3o8lS5ZQoUIF4uLisLW1xcPDQ7z/jo6OAAwZMoSAgADevn2LqakpcXFxolB7eXkREBCATCZj1qxZLF68mHHjxuHt7U2NGjW4fPkyiYmJCIIg5sWOHTuUhNrDwwNNTU2SkpL47rvvxDw0NDRkx44dbNq0iWrVqon5Vlqoq6tz+PDhUvWhXAl1eHi4ykY6/5VQ5+TkkJKSws6dO+nQoYNKrqkqsrKyGDdunNIcYVVSnoW6adOmSjWsD9m4cSP29vbY29vj4ODA9evXlc7n5uYyduxY7O3tuXLlCpBXW3BycsLJyYnx48fj5OQk7syWlpaGk5MTEydOJDIyEsirtTs5OSGXyzlw4IAY9/bt23FycmLjxo0FXsC8vb2ZNWsW9+7dw83NjWXLlvHmzRucnJzYsmULAKtXr8be3p7nz5/j7OwspsPe3p7NmzcDYG9vz9mzZ8nMzMTe3p74+HilNK9Zswa5XE5ISIgYduvWrYwfP547d+4wY8YM7O3tGT9+PPb29owdO1bJz/Xr14uf7969yw8//ICPjw///e9/mTZtGqNHjxZ3Kpo1axaLFi0iMDBQzL8ZM2Zw584dAJycnNi1axdpaWmsXbtW7BI6f/68GF4xeC4/ycnJ/Pzzz0ycOJEnT54wefJkcRBZeno669atE3dWW7ZsGWPGjOHy5cukp6djb28v7oanyJNJkyaJzbPOzs788MMPXLt2TemaAQEBvHv3DoCoqCjs7e05cOAA8+fPF6dVTps2Tczf9evXM3XqVBISEli+fLmYnoCAAGJjY5k/f744gFBR21PsBKZoEoe85nwnJyeeP3/O27dv+eWXX8RzCxYsYOfOnUp+2tvb4+fnB8C4cePw8PAgPj5eqazY29tz5swZMV329vZMnz4dgMuXLzN58mQePXpEYGAgY8aMEbsEt2/fLjaPQ16XgpubG4GBgaxcuRKAhw8f4uzsLKb3wzEgpYHiRbs0KVdCffXqVerUqaOSuP5KqE+cOEH79u2pV6+e+MdRVli2bBlz5879JLVpKN9C3a1bN9LT00vbFQkJiTKCuro6R44cKVUfypVQHz16FC0tLZXE9TFN30OHDuXWrVsquZ6qUEyN+ZRER0erLJ/LEtLKZBISEh8ik8lYuHBhqfpQroQ6ODgYPT09lcT1OSwhWlqU5xp1jx49SEhIKFN2+PDhAsd8fX3Zs2cPU6dOxcXFRTx25coVHBwclJopDx06VOppKA1bu3Ytfn5++Pj48PjxYzE/FOcVpKenq+R6kZGRPHny5C/DnT59+qPj9Pb2Jjo6Wvzu5+eHvb09GzZs4ObNm/zyyy/s3r1bTNuMGTPE7oePMUV3yNy5c1WW70+ePCEyMhJvb2/Cw8NJSEjgwoUL2NvbM3XqVC5cuMDo0aPx9vZm6tSpXLt2jZUrV4rld/z48eI6Aoqy6+3treT3r7/+yo4dO1i8eDFjxowRjx85coQNGzZ8dPo/tKdPn5KQkMCxY8fE9EiDyVRMZGQkdevWVUlcklAXTXkV6o0bN6KlpYWWlhbq6upUqFABmUyGhoYGampqyGQyKlasiJ6eHpUqVUJXVxc9Pb0yb1paWshkso8yPT09KlasKH4vy2msU6cOVatW/ctw1apVo3LlytSvXx89PT2l9CrureK+Ku6tIh90dHTEzxUqVBDDVKxYkYoVK4oD4PL/TmHa2tpUqlRJ6XeFmY6Ojnidv2s1atQokCd16tTB0NAQY2Nj6tati7GxMcbGxjRp0oTGjRtjbGxMw4YNadasGcbGxlSrVo3GjRsXiFuRJ1paWmhqalKhQgVx4OOnMsW90tPTo1atWuLx5s2bi+lQWNOmTZXSZ2xsTL169ahfv36BsMbGxjRr1oxGjRoVek5h+vr6hfol1ahVyMGDB1FTU1NJXJJQF015FWrIGxwTEBDApk2bCA4OZtmyZXh6erJu3TqWLVsmjqp/8uSJuFJUWefkyZMsW7bsowzg/v374vd/sh59WSd/er28vFizZg1RUVHi+cePH5OTk0NUVJS48ti9e/c4f/68GOb27dtERUWJc8eBArMFLl26RExMTIEV1T4kISHhk+94909QdOsFBQWxd+9ewsLCxAF7EiVLuRLqmzdvUq9ePZXEJQl10ZRnoZaQkJAoa5QroS7pJUT/rUhCLSEhIVFylCuh/py2ufyckYRaQkJCouSQhLoIJKEuGkmoJSQkJEoOSaiLQBLqopGEWkJCQqLkkIS6CCShLpro6Gi0tbVL2w0JCQmJfwWSUBeBJNRFo6oadXZ2Ntu2bSM8PJwNGzawfv36j7azZ88WeS4sLIyUlJQyYTdv3lTyLSAg4E/Tdfz4cXFjDVXYtm3biImJKfV8+NB27tzJ/fv3cXd3Jzw8nPj4eMLDw3n27BkpKSn88ccfbN68WWX5kN9KO+2qsqtXrxZ57u3bt4SHhxMeHs6dO3e4evUq69ev58iRI6xfv559+/Yp5W9ERESpp+dTWWxsLF5eXsTGxnL58mXc3d1JSUkhIiICT09P/ve//xEeHs6+fftISEgoNA7FroSlRbkS6oiICGrXrq2SuCShLhpVCbVia0YDAwMEQfhbVrVq1SLPGRgY0KRJkzJhtWrVUvJNR0fnT9Olp6eHvr7+386PokxdXR1DQ8NSz4cPTVNTkzp16oj3q0GDBhgYGGBkZESTJk2oW7cuampqKsuH/FbaaVeV1ahRo8hzDRs2xMDAAAMDA2rXrk2NGjUQBAFdXV0EQaBixYpi/mpra/9pXJ+7GRkZoampSf369alevToymUzMPw0NDbS0tDAwMKBy5co0atSo0Dg+3K2upClXQi3VqEsGVQn1rl27Psk2dvv27WPo0KGFWnJysljLmD17NsAnXxu9NElOTmbevHlF5seH5uDgwOzZsxkxYgR+fn58//33+Pn5ERcXV9pJURmFpXvRokWsWLECe3t7FixYwNChQ1m5cqV4Pv/noUOHinGNGTNG3G3qQxwcHEoqScVm27ZtRZaJ77//HhcXl78sO05OTrx69Ur8XlS+lGXGjBkj+n/y5EmuXLmCTCZj+fLlpeqXJNRFIAl10ZR1oZaQkJBQFTKZTKpRq5Lbt2/ToEEDlcQlCXXRSEItISHxb0EQBGbOnFm6PhTnxw8ePKBr166q8qXYBAUF0a1bN5XE1bJlS3777TeVxFXe2L59O8bGxsWOx9HRESMjI168eKECryQkJCRUy+3bt1FTU2Pz5s2l6kexhDoyMpIBAwaoypdiM2bMGL7//nuVxCUIAqdOnVJJXOWNyZMn069fv2LH0717d5o3b64CjyQkJCRUT0BAwOe/zWVZE+oRI0ZIQl0CSEJdOLm5uaSnp5OVlUVGRgZZWVmkp6eXtlsSEhL/kICAADQ1Nblz506p+lGuhHrjxo2SUJcAklAXxNzcHFNTUzp06ECPHj3o3r07JiYmdOjQgb1795a2exISEv+AgIAANDQ0uHjxYqn6Ua6Eev/+/Srbj1oS6qKRhLogbm5u9O/fX+nYqFGjVDavX0JCouRRCPXVq1dL1Y9yJ9RdunRRSVySUBeNJNQFuXnzZqFCPWLECPF7RkYGJ06cwN7enqysLPF4SkoKiYmJomVmZpKdnU1iYqLYdJ6YmEhaWhoA6enpSuGTk5PJyckhMTGRlJQU5HI5WVlZLFmyhMzMzL/0PSMjQ/wsl8t5//49GRkZpKamkpubK/qYnJwshktNTRVXa8rKyuL169fs3buX+Ph4cnNzSU5OFv17+/YtkZGRZGZmkpiYSHZ2NnK5nJSUFABycnJITk4W8yQ+Pp6oqCgx7kWLFon5ouDIkSMsXbqUxMREMU/8/PzIzs4mMzOTadOm8fjxYzIyMvD19cXe3p41a9aI6UlLS1PKr8Ly5P3798jlcjFvFSQnJxMSEiLeD0X4D+NKSkoS8yj//UpMTFTK8w/ve1JSElFRUezdu5e9e/fy8OFD8RqTJk1i7ty5vH79GrlczoULF8S4AgICWLFiBbm5uSQmJrJz507s7e2xt7cnOjpavEcKpkyZwrlz58TvReWJorwprvP+/XultOQvo9nZ2QXy8nMmICCAChUqlLYb5Uuovb29pabvEkAS6oL8lVCnpaVRsWJFpk+fTs+ePalduzZXrlwhIyODvn37Ur9+fXEVM4Dff/8dQRA4duwYkFcex44dC0BoaCgVKlSgUaNGVKhQASMjI27fvs28efOwsbEhKSkJf39/BEHAy8uLOXPmIAgCs2bNEuPy8fHh/fv3dO7cGS0tLWrVqoWOjg5XrlxBS0uLChUqoKenx5gxYwD4+uuvMTAw4MKFC6xbtw5BELh58ybZ2dkMGjSIL774Qlwtzt3dHQMDA6pVq4aGhgYNGzZk+vTpbNiwAU1NTU6ePMm7d++wsrJi0aJFXL16lS+++IIdO3YQGBiIIAj8/PPPZGZmMnDgQMLCwpg2bRrdunUjIyODpUuX4uLiwsmTJ1FTU+O3337j559/RiaTcfDgQb788kv09PTw8fFh0qRJuLi44O7uTvPmzXn48CFxcXG0bduWWrVqUalSJSpXrlzgfi5dupR27drx/PlzfvjhBzQ1NQE4fvw4hoaG1K9fHy0tLZYsWQKAgYEBbdu2FReG8fb2Rk1NjVWrVrFp0yYEQaBOnToYGRmJv8vJycHNzY2OHTvSunVrGjZsyMGDB6lduzbVq1dHEATq16/PkCFDePbsGTo6OiQkJKCjo8N3330nTo9dvHgxAGvWrKFly5Y8fvyYRo0a0bdvXwRBwM7OjoYNGxIWFqY0rbJmzZqMHDkSgPDwcCpXrsyvv/5KpUqVmDhxIpA3BbdatWrUrl0bmUyGm5sbxsbG4qpyVatWpVu3biQlJSEIAiEhIcV6jsoa5Uao+/btqypfis3+/fsloS4BJKEuyF8J9aZNm5S6ZTQ0NJg3bx4AixcvJjY2VmnBnvxCHRYWhoaGBv7+/uLv9fT0gLy+ccUKWAqhfvPmDaNGjRLjOnbsGIIg8PvvvwPQokULFi9eLAq1s7MzkPc8h4aG0qNHD9zc3Fi2bJkYx+7du0WhXr58uSjUkZGR4hTNkJAQqlWrhp+fH0+ePBFf5HNzczlz5gzp6ek0bdqU+/fvc+DAAQwNDQkODlYSakXebN++nZUrV/LFF18wZ84cHB0dqVSpEidPnsTW1pbnz5/z9u1bfv31V8LDwzl16hSampo4ODjQs2dPMZ9cXV35/fffGTp0qCgk+dcB6NOnD1OmTClwP5cuXUrbtm3Zt28f/fv3Z9++faSmptKkSRNxJTtHR0fq1avHs2fPcHNzQxAEdu/ejVwuZ/Dgwejq6nLmzBkg7//k/PnzJCUl0aNHD5YsWUJ4eDj6+vqsXr2aUaNGUalSJZycnJDL5WzevFn08cCBA8yePRs7OzuWLFmCiYkJpqamolC7urqSlZXFypUrxf/jS5cuceLECdTV1QkICODq1atERUVRq1Ytzp49S3p6OjVq1BBr2CYmJmzevBm5XM6yZcuoWLEiZ86cwcrKivDwcB49esRPP/1ESEgIZ86c4fz58wiCwPLlywkLC+P9+/eSUH9Cii3UvXv3VpUvxUYS6pJBEuqC/JVQK2q1CkaOHMmQIUOAwoX65MmTCIKAi4sLy5YtY+jQoUUK9bZt24A8oba0tKRJkybMmTMHQ0NDAE6dOoVMJqNatWrUrVuXihUrsn///gJCDfDy5UvMzMzQ09OjcuXKjB8/HsgT6qpVq+Lq6sqzZ89EoXZyclJaUvPly5fi58Ja3Bo1aoSbm5soOG/evOHGjRvUqVOHqlWriv6FhoaycuVKvvrqK2JjY0XLzs5GS0tLbA5WoBBqbW1tJkyYIB6Pi4tj6NCh/PHHH6KQvHr1ChMTE+rWrYu2tnaRQq2pqYmuri7r168H8pq8BUHg2bNngPKCPW5ubvTu3RsdHR2ePn3KxYsXlYRaMSDp9evXWFlZKQl1/vQpugPyCzXA7NmzmTVrlhguMTFRFOoqVarg7u6OkZGRUsUpv1ADPHnyhNatW7N27VouXbqEnp4e+/btA/L+7xRzhS9cuICBgQFubm40a9asQN4ASkKtQBAEqlevTt26dcUy+blTboS6Xr16qvKl2Kxfv14S6hJAEuqCXL9+vUDrUn6hnjt3LoIgiH2ko0ePxtHRkZycHBYtWlRAqOPi4hAEgT59+pCcnIy9vb0o1C9fvkRHRwfIE2rFmuXz5s1DJpPh4eEhNn0DPH/+HJlMJtaoBUEoUqjT09MZPHgwS5YsYefOnWhpafHo0SN2796NIAiMGzcOuVxO3759uXnzJqdPn8bMzEzsi80/jeXq1asFhFoQBJydncWmb0W/Z0hICDNmzODZs2eiUB87dox69eoRFRWFXC7n6tWr5OTkULduXfz9/cnJySEmJoY//vhDFOr58+dTqVIl0Y+vv/6aoKAgcnJyRKGWy+VMnDiR1q1bY2FhUahQHzhwAAMDA9q0aUOrVq148+YNKSkp1KhRg9DQUCBPqKtXr87ly5dxc3MjPDwcQ0NDGjZsSHR0dKE16rdv39K1a1cloX7w4AEA165d4/79+0DhQv3NN9+QlpZGbm4ujx8/LrTp+2OEWkHNmjXx8fEBQF1dvYBQ79q1i2bNmnHz5k0gbyxBZGQk8P9C/ccffyjd25CQELFrpDxQboS6LPVRb968WRLqEkAS6oK4uLhgYGCgNEho+PDh1KpVi8zMTA4ePIiGhgaLFy/m3bt3tG3blrCwMGxtbWnatClxcXGiUGdmZnLo0CEEQWDnzp0A1K5dm+nTp7Np0ybat2/Pt99+S05ODqampjRq1Ig//viDGTNm0LJlSxISEvDz8xPj+rDp29bWlr1794pC7ejoKPr8/Plz2rRpw4IFC1i7di0aGhrs27eP7du3U7lyZU6ePElGRgYGBgbcvHmTe/fu0ahRI2xtbbGzs1NasW7+/Pn06dNH/H7gwAHRD4VQb9++XSkfz549K/Y7A2hqatK+fXu6devG8OHDyc3NpX///tSpUwdbW1vatm3L06dPWb58OTKZjICAAExMTLCxseHhw4dUrFiR9u3b06tXLwRBwNXVlfv371O/fn1iYmL47rvvCt08Y8eOHbRr146IiAh0dXWZMmUKmZmZ9OrVCyMjI969e8d//vMfjI2NSU5OxtnZmUOHDjFv3jysrKw4evQourq6hISEkJGRIQr1mzdvsLGxYcGCBSQmJlK3bl1atGiBnZ0dLVq0IDg4GIANGzaI9w/gypUraGho0LFjR7p27cqcOXNEoXZxcQGgc+fOYr86wJIlS5DJZBw4cECMQ1dXFx8fH65fv07lypWZOHEiubm5DBo0iFGjRpGRkcHWrVsZNWoUaWlp9O7dm8aNG2NnZ4etrS27du0C/l+oV6xYIeaZIAicOHGCixcvUrFixY9/eMowklB/ArZs2SIJdQkgCXVB2rVrh7GxsdjP6ufnh5mZGaampmKYnTt30qZNG8zNzcVj1tbWbNmyBcgbJGZtbc3+/fs5d+4c1tbW/Prrr2K4BQsW8OrVK6ytrUlNTQVg7Nix4iCzTZs2MXHiRFJSUjhz5gzW1tb873//Y/HixRgbG7Nw4UIAjI2NmTt3LvHx8bRu3VpJXG/fvk379u2xsrKiffv2/Pbbbzx58oShQ4dibW2Nr68vO3bswNzcXKwJBgcH0759e8zMzJRGR7dr1442bdqI3319fWnfvj1hYWEkJyfj4OCgNPo9fx54eHgA8OjRI4YMGUK/fv3EWvKtW7fo1asX1tbWhIeHA+Du7o61tXWB+5KZmYmHh4eYX4q8nDlzJnK5HGtra1q1alXgd927d8fU1JTo6GiWLVsmxn39+nVsbGwwMTFh0aJFSnGuXLmS/fv38/vvvxMUFIS1tTWenp7s2rULa2troqKiiI+P5/vvvxdfwHx8fLC2tsba2lppt6nZs2djbW0tvlwBeHh4YG1tzahRo3j58iVv3rzhhx9+wNPTU8zfD1fQyj8L5uXLlwW6DBT88ccfmJqaYmxszA8//EBSUhKQ1wVjYWFB69atlZbRjIqKwtraWhTuPXv2iOlQDFArD0hC/QkYNmyYJNQlgCTUEhIS/wbKhVDfuHFDHBBTFpCEumSQhFpCQuLfQLkQ6rJWo5ZGfZcMklBLSEj8G5CE+hOwd+9eSahLAEmoJSQk/g3s37+/fAi1hYWFqnwpNo6OjpJQlwCSUEtISPwbmD9/viTUqmbWrFmSUJcAklBLSEj8GygXQn3jxg0GDx6sKl+KjdRHXTJIQi0hIfFvYNy4cZ+/UEdGRqrkD1tV+Pr6SkJdAkhCLSEh8W+gXAj1jRs30NXVVZUvxUaqUZcMklBLSEj8GygXQv3o0SOmTZumKl+KjSTUJYMk1BISEv8GyoVQX79+nWrVqqnKl2IjCXXJoEqh1tbWxtzcXKX27t07kpOTVWY+Pj5cu3aN5ORk5s6dy/Pnzxk3bhydO3dm6NCh3L9/n+HDh7Nw4UIsLCwIDg5m0KBBKk/X37XTp0+rNB9UZf7+/gV8XbRo0T9K49y5c0lOTmbVqlUfFd7FxaXU05+cnMzbt2+ZOHEiDx48+MuwR44cwcPDg+TkZLp3786GDRvo378/5ubmTJ8+XSnsqVOnCqR5+vTpReaHovyWdn78HduwYQNRUVEFjj18+JDevXtz7do1Nm3aRHJyMp6eniQnJ3Pw4EGWLl0qft+wYQM9e/bE3NycWbNmsWHDBi5cuFDgWvb29p+/UD958oSZM2eqypdis3HjRkmoSwBVCfXs2bOxtLSkY8eO2NjYYGVlhbm5ubhmcP4/FGtra3FDAmtra+zs7OjUqRPdunVTCtupU6e//LNu2rQp5ubm1KtXj9atW2Nubk6rVq0wMTGhXr16tGvXTgxbr1498XP79u3Ftbo/tJo1ayIIQpFWr1497OzsCqTrU1rVqlWpUKEClStXRkNDAw0NDWrXrk2lSpWoV6+euLWkpqYmenp6tG/fHnNzc2rVqoWmpibGxsal/rLxodnY2NClSxcsLS3FYxYWFtjY2GBubk7Xrl3p1q0bVlZWdOzYEXNzc2xtbenUqROdO3emc+fO6Orqir9t1aoVX375Je3atVO614WZkZFRsf23tLSkS5cumJubi+Xd0tJSKT35zcrKCmtrazp16oSNjQ02NjZYWlrSrVs3zM3N6dy5s3hc8Swong07Ozvs7Ozo0qWL+PlDU/hS0mZnZyf6/OH9tbCwwNz8/595Rdq7dOlCp06dsLW1FT/b2dlhYWEh3vfOnTuLabOxsRE/5z+u2GCkW7duBY4V5qtiv/XSpFwteDJy5EhJqEsAVQl1afH06VMgb2OBt2/fAhAfH09mZqb4pq7g1q1b4ufU1FSlTSfyM23atD8V6l9++eUTpqhwQkNDOXjwICdPnsTHxwcfHx8iIiI4cuQIUVFRREZGEhISgp+fH4GBgeLGFZcuXcLX15e4uLgS97kkOHbsmPj5zZs3ZGRk8P79e6Kiov70d7dv3/7UrklIFEqxhfrDPXhLE6npu2T43IX6UxAdHY2WllahIl21alUuXLhQ2i5KSEh8phRLqO/fv0/nzp1V5UuxkYS6ZJCEuiApKSk4OTkVKtTffvttabsnISHxGVMsob558yZff/21qnwpNuPGjZOEugSQhLpw0tPTC4i0pqYmKSkppe2ahITEZ0y56qOWatQlgyTURbNnzx5RpGUyGfPnzy9tlyQkJD5zJKEuAkmoi0YS6qLJzc3F0tISQRAwNDTkxo0bpe2ShITEZ06xhDoqKophw4apypdiIwl1yfBvEWq5XC7ah8cgT5Tzf1bw22+/IQgCI0aMEI/l5uaWuP0VinAfprE0fC2uvX//npycHF68eEFubi6vX7/m9evXZGVlcefOHdEU58u7xcXFiWl+9OgRmZmZ4rns7Gxev35Ndna20v0vLJ6ijqvaSuo6f2VllWIJ9b179xg7dqyqfCk2klCXDOVZqKdMmSLajz/+yKRJk5g0aRKTJ09WOjZlyhQcHBzEcw4ODvz4449MmTKFTp06IQgC3bp1Y8qUKUyePJkJEyYwfvx4JkyYgIODA+PHj/+k5uDgIPqcPz35jynCTpw4UfT9xx9//OS+fQrr27cvY8eOpVmzZowfPx4TExNMTEz4/vvvlcYMKM6Xd2vdurWY5urVqzNq1Cjx3OjRozExMWH06NGMHz+eH3/8kYkTJ4rnFWV0woQJBcrDpyi/EyZMULp+admECRMKPDNTpkxh2rRp3Llzp1T/l6Sm7yKQhLpoyrNQq6mpoaenh76+fomYkZERK1eu5OXLl0p+nDhxAn19fU6ePPmP0nHv3j3atWtXYukoCRs+fHix76+3t3epp+PvWJs2bbCwsGDt2rUF0uLo6Ii+vj4rVqwQj33zzTd/Kz++//77UkubjY0Ny5YtY9q0aejr6xf73haXsLAwvvjiCyUfK1WqhLq6OidOnChV34o9Pass1aiXLVsmCXUJUJ6FumnTuz0atgAAIABJREFUpty/f7+03ZCQkCgD3Lp16/MX6qioqDK11vfOnTsloS4BJKGWkJD4N3DmzJnPX6gjIyMRhGJFoVKkpu+SQRJqCQmJfwMBAQHlQ6jV1NRU5UuxkYS6ZPichTo9PZ2cnJwiz0tCLSEhoaDcCLU0mOzfx+cs1NWqVaNZs2aEh4crTUlS8CmEurDrFDc+VccpISFRkHIh1NevX2fgwIGq8qXYSEJdMnzuQq2YtjJr1izOnz+vdP5jhDo1NZV58+Yp2Zo1awDE72/evAHg2rVrzJw5k5CQEJX4n5GRgbu7O3PmzFFJfKVFWloamzZtIjs7m8uXL+Pv71/aLkn8DRITE1m7dq1Sec/IyBDnaWdkZIhhMzMzmTdvHtHR0aXo8T+jXAh1ZGRkmdhUW4Ek1CVDeRFqQRCoUKEC1apVIzMzE/h4oba1tWXWrFns3r0bmUwmTp9xdnbGzMyMN2/ekJuby9dff42Ojg6//fabSvyXy+XMnj27TI0N+Se8e/cOKysrFixYwIABA5gyZUppuyTxN3j27Blt27ZFX1+f5ORkcnNzGTNmDGfOnGHOnDno6uoCeYvntG/fHm1t7c/yZezo0aPlQ6ilpu9/H5MnT6ZNmzbs2LGDHTt24OHhwdatWz/KBg8ejCAImJmZ4eTkRNeuXf90H+d/Yps2bSry+jo6OkX+zs7O7qOEOi0tDTc3N1JSUrh16xb169dn48aNALi6umJpaUlCQgKBgYEsWLCg0DjCw8MJCQnhxo0bhfaZ5+TkcO3aNby8vHj37p14LCkpif79+6OhoUF2drbYBC6Xy4mIiCAwMFCszShWWsrJyVFadUkul/Pw4cNCV2KSy+VkZ2eLcStqSDk5OeK5/CtcKUyxulT+Y4o4iopr9uzZjB49mjdv3oh/9pC3E5mXlxfv378H4Pjx4xw+fFhp9SpFuoKCgrh165Z4LDQ0FC8vL+Li4njw4IGYD35+fhw6dEiMs7D8zp8WxWfFvVGcz5/fH6ZRETZ/uOfPn3Pt2rVCuyoU4RS/V/gaGRnJkydPirzOh3Hl5uYSFRWFl5cXQUFB5ObmcvHiRby8vLh69aoY5kP/fX19lXzOn6+KcB+mOz+jRo3CxsZG/B4bG0t8fDw3b94UXySPHDnCzp07C83zz4GYmJjyIdRlqWYlCXXJMHnyZDp27EhERAQRERFcuXKFS5culRnT1dWlYsWKSubk5MSlS5fQ19cvVKTV1NSoWLFisYV60aJFmJub8/z5c+zs7Lh582ahcTg4OFC9enVcXV0xNTUlPj5ePCeXy1m6dCn169fHxsaGNm3a8Pz5c7755htMTEzQ0NBAQ0ODgIAAFi5ciFwux9XVlYULF9K9e3e+/PJLHjx4wIABA1i2bBmmpqaYmZmJf8qWlpa0aNGCzp07ExERoeSXmZkZVlZWWFhYcP78eeRyOSYmJri5ufHs2TPMzMzYvHkz/v7+mJqaYmVlhbm5Obt27SIiIoKOHTsyb948TE1NGTFiBOHh4ZiYmLBu3Tr8/PwwMzPj3LlzvHjxglq1apGeno63tzdt27bl6NGjnDp1ChsbGywsLGjXrh05OTl069YNQ0NDPDw8MDMzY8yYMSQkJGBhYYGnpycNGzZk0qRJZGdnM2TIEDQ0NDh//jxNmjQhIyODiRMncurUKQYOHFjoJinffPMNFhYWmJub06VLF7Zt24alpSUdO3bEzMyM7OxsFi1ahKWlJZcuXQLgyZMnDBw4kGHDhnHhwgVMTU1Zvnw5+/btw8TEhODgYFatWkWrVq2oU6dOgRe29PR0TExMiI2NxcXFBRMTE3bs2MHo0aNZtGgRzZs3586dO8TGxjJs2DC8vLzYsmULJiYmuLq6KsVlampKgwYNkMlktG7dmq1bt2JsbMyECRMwNDTk7NmzHDhwgH79+vHHH3+IZaxmzZo4OzsDYGJiwoEDB0hPT8fU1JRHjx7x888/07FjR0xMTPD09FS6plwuZ+TIkbRo0aJAfkZHR4tCvXDhwgKL+XxOlJum7/K6H7VMJpOEugjKU9N3o0aN6NSpE5cvXwY+ruk7LS2NmTNnkpycXGiNWldXF0NDQ7p06UJ6enqhcZw/f56uXbsSFhbGl19+SWxsrHgu/x/d7du3GTBgAA8fPsTY2Bj4/37w69evU7duXS5evEiTJk04e/YsEyZMQE1Nje3bt9OiRQu6devGxYsXUVNT48cff2T+/Pl06NCBs2fPIggCs2fPVqpZ9+3bl4sXLzJ69GixH1xDQ4PAwEBRHD08PIiIiKBmzZpiTWvv3r2EhoZSsWJFoqKiMDIyYvPmzQCoq6tz4MABZsyYIebvo0ePsLS0JDs7G2dnZwRBICMjgwEDBrBr1y4ABg0aRGhoKJ6enjRu3JhffvlFrJ3NnTuXXr16AXm1HkEQSE1NZceOHTg4OIjpcXZ2pl+/fqSmpvL48WOaN2/OixcvxPO3bt3iiy++oFevXmzYsAFDQ0MiIiLw9PTk3Llz1KhRg0OHDuHv74+Ojg4JCQlimrt378769euBvP+Lr7/+GktLSwIDAwGwtbUlNDSUqVOnMmrUKKX7n5qaiiAIHD58WBzf8OzZMxwdHXn69CnW1tZMmjQJgGHDhjF16lRcXV1JTEwsUJZkMhkODg7Uq1eP3r17I5fLycnJ+T/2zjyup+z/47dPfYqUqCiVfSlZMhjLTKZRwhhfu2jGLrvBDINkz6BhFtvYw2Aw377WyVhamMiWXUZCRUlSFG2f6vP8/dHjc359VDMoZbnPx+P9qM+995z7Pueee1/3LPccfH190dXV5a+//mLNmjVYWlpy+vRpcb2rVq3Kf//7XwCsrKyYPn06CoVCvIz07duX8+fP4+7ujqurKyqVSuu8AwYMoFKlSgX8CQ8PR0dHBxsbGxo1aiQLdQlQbKFu3rx5SflSbGShLh3eBaFWKBQMHz5c1DA0vKhQOzs7k5CQUGTT96lTpzAxMSmyDN24cYOaNWtiYGCArq4u9+7dE/vyC7WGfxLqUaNG0bx5c7Zv3y4MtIWkT58+jB07Fnt7e0aOHMn27dv59ddfCQwM1Gp637BhA99++y3dunUTQv3RRx/RsWNHBg4cSJUqVcjOzi4g1JDX7GxkZFRAqHV0dGjWrBmrVq3C2NiYv/76izt37iBJEl9++SXe3t6YmJgQExND48aN8ff310r7pk2b0NHRQUdHh7179wJga2v7wkLdt29f8cLUvn17Vq1apRX/hAkTsLS0xMbGBhsbG7F94sSJSJJEbm4ue/bsQaFQ4OrqyoABA1CpVAWEWpIkbG1tRfitW7eyZs0a3N3dixRqSZLo2rUrarWap0+fMnv2bMLCwhg2bJiWUEuSRNOmTQttut+0aRPm5ubo6+vTpUsXIG8A1/fff49CoeDChQtERERgZmbGsWPHGDJkCOHh4VpCPWbMGCRJQk9PTwj5xYsXmTp1Kp06dXppof7ggw+4cuUKzZo1K3T607eFd0ao5T7q94+3Wag1zcmxsbGF7v8noc7JyeHx48dER0fj4uJCWlpaAaF+8uSJ6KM+evQourq6WnMxazh+/DjdunUTzdYTJ04U+/7++2+USiVTpkwhNTWVhIQEIdRZWVlMnz6dCRMmcP78eaysrLh//z7NmzdnxowZPHnyhEWLFgHaQj1jxgy++uorHBwcaNeuHSqVivv37xMQECDOu2HDBqpVq8aFCxf49ttv+fbbbwHo2bMnhw4dIikpSdSCz5w5I0Qb8ppC/f39mTt3bgGh1ixQ8uTJE60atSRJLFq0iHPnzmFhYcG9e/dwcHBg1qxZpKSkkJSURE5ODuvWraNJkyZMmDABPT09MjMzWbNmDc7OzmRlZREdHY2hoSHp6emsW7dOS6i9vb1p06YNiYmJXL16lZo1axZoxvXx8UGpVKKvr68l1JoXoWXLlrFnzx6MjY3Jzs7GxsaGHj16FBDq9u3bY2FhwerVqwEwMjIiKCiIefPm0a9fP60XIo1QR0dHU7duXW7cuEFkZCQdOnQgJyeHn3/+GQ8PDzEgcd68ebi4uDBp0iQt37Ozs7l//z5OTk54eXkJodb0ZxsYGDB69GjWrFlDjRo1uHDhApIk4eXlRZUqVcTqhx4eHvTu3RuFQiFehnR1dfH39+fmzZsFhDo3Nxd3d3dmzpxZoGznnwhrzZo1KBQKNmzYUOC4t4H9+/ejp6cnC3VJIgt16fA2C/W/8U9CfeXKFapWrYqBgQG+vr4AHDt2jEqVKglxcHZ2pnr16sTFxZGUlMSIESMwNTXl1KlTWnGNHDkSpVLJvHnzGDRoEIcOHRL7nj17xpQpU1AqlVSvXp1vvvmG5ORkRo4cibu7OzNmzECpVOLm5sawYcOAvLKvVCqpVasW+/btA/KEum/fvpw4cQInJydu3LjBqVOncHBwoF+/flSqVIng4GBx3vPnz2NiYsLYsWNxdHRkwIABZGZmolAoOHToEHFxcdSoUYPg4GDWrl2LQqEQ620nJCSgUCjYvXu3EOpVq1Zx8+ZN9PT0OHLkCLm5uVhYWHDmzBmioqJQKpVkZmayceNGlEolubm57Nq1C6VSiVKp5OuvvxZ52qBBA44dO8Ynn3wiXor69+/P4MGDWbBgAcePHwfymsTbtGkj0pSRkcGgQYPo0KEDq1evLjC6XNMy4OvrS8+ePbGyshIvcUeOHKFy5cqMGTOG77//Hj09PUaMGIGZmRnLli2jZcuWDBs2jFu3bqGrq8uyZctYtmwZ9erVIyIigrZt29KpUydcXFyoVq0a165dE+c9evQoCoWCmJgY+vfvz48//khsbCzVq1fH29ubLl260LJlS6Kjo3FwcOCHH37A19eX8uXLa63kdODAAcqVK8fBgwepX7++qJ0fOnSIYcOGoa+vz/Xr11m9ejXm5ua4urri4uLC+vXrMTU1FUKtUCiYOnUqn376KR9//DHJycmYm5szceJE2rVrR4MGDbQ+ubp+/TrVqlXDyMiI6OhorTwdN26cEOrY2Fi8vb2xtbUlIiKi0PvqTUYj1GWtBbJQF4Es1EXzvgp1Tk4OCQkJ3L9/Xzy00tPTiY2N5eHDhwDExcURGxsraprp6enExcUVaLJ8/PgxcXFxxMXFkZqaWuBcGRkZxMXFkZiYKJoi09PTefDgASkpKSJs/lqO5nhNc3RiYiL3798nNTVV6xzJycnExsYW2neo8T81NVWcOzY2lszMTLKzs4W/z549Iy4ujrS0NCCvhqVZ61mlUhEfH8+zZ8/IyMgQ4TXxa2aHi4uLQ61Wk5aWptVvrEmbJt2PHj0iPj4elUpFamqq6KfNzMwkLi5OKx3PxwV5zcCafHh+hL0mHQBJSUnEx8eLT/U0caWlpfH48WNiY2OFb9nZ2Tx48ICEhAThh8YvTRo11yklJYWHDx9qnVuzLycnh4yMDJKTk8nNzVtHW3POJ0+eiDL39OlTMjMzuX//vta4h4yMDDG+4cGDByQlJQF5LTsaX/OnM39ZjI+PF8fHxcWJ0fea8hsbG6uV5vzdHFlZWWJffgEHRF49X66KGq/xJiM3fb8GSlKoHR0dZaEugvdVqGVkZN4vZKF+Dcg16tLhXRZqTbPl6yb/97OamqPmr1qtRqVSiZmeQPvb3PzH5f+2Nv/xJe2rpoWgKIo6d25urta+nJwccnJyRA09f/rzT42alZUl9qlUKvH7+dmvXsZUKtU/zvP+ohQnjqK+SX5RNLVXzffNmr+aNGry9Pl0F/b/v13TF+VlypxmRPq/xZH/mPz3QGZmptj3fJnTlBFNGvPnkSa8Zl9heaJpScnPOyHU9+7dE9/hvQnIQl06vMtCrRldXFx7/jvtoo4zMzMTfytWrIidnR12dnZUr14dOzs7jIyM0NHREdvNzMwwMjLC1taWSpUqYWdnh1KppHbt2uIYOzs7unfvzuXLl9m3b1+JpelNNBMTE610/5tZWVmVuc9vgpmbm1O1atUy9+N1mLGxsdZvGxsbcT/9k9WoUQNdXV18fHy0wiuVSk6cOFGmzyV5ru8iaNGihSzURfAuC/Xq1atfyby8vFAoFOjp6aGrq1tAqHv16lVouNOnT7N69WpCQ0O13to1M1P5+/uLUcQAJ0+e5MCBA+Tk5Ij5w3/99Vcxt7iGo0ePinOsWrWKVatWvXLa3mR72Xv0xo0bZe7zm2Dnzp3j0qVLZe7H67A///xT63d0dDR3797917IRFxfH+vXrC8S3bt26lypjrwO56bsI+vfvLwt1EbzLQv2qaKZNLMqWLFlS1i7KyMi8pchCXQT169eXhboIZKEuSFxcHI0bNy5UpGvVqlXW7snIyLzFyH3URVCxYkVZqItAFurC2bFjR6FCPW/evLJ2TUZG5i1GrlEXgTyYrGhkoS6a2rVra4m0lZVVWbskIyPzllMsoY6OjhazB70JyEJdOshCXTRXr17VGum9evXqfw8kIyMj8w8US6hjY2Px9PQsKV+KjSzUpYMs1EWTm5tLjx49kCQJOzs77ty5U9YuycjIvOXITd9FIAt10bzLQp1/UpGcnBwxuYbm778Z5JXD8uXLM23aNHJzc184bElaaebVvx2jmXSiLPLheXsdE8LkT2v++POfM//kNEVZaedRWaMpP5oJSfJPipM/TzT5mv9ezH+M5rgX2fZv+f+mIgt1EchCXTTvslAbGxsX2wwNDdHR0aFcuXIlEp9ssslWdlbY6neljSzURVCnTh1ZqIvgXRbqihUr0rt3b4YOHfrW2DfffMPdu3fZu3cvS5YsYceOHQwePJjBgweXuW9vmg0ZMoRBgwZp2dChQwtsGzx4MEOGDBFh8v9f1mkoKXs+zS9qQ4cOFfmTv5zl3/+2WUpKilbZ0KSxfv36eHt7l/VjSRbqojAzM5OFugjeZaGWF+WQkZHR4OHhQb169craDVmoi0Ju+i6ad1moq1evztWrV8vaDRkZmTcADw8PuUZd0shCXTq8y0JtaWnJ+fPny9oNGRmZNwAPDw/mz59f1m68OUKdf/myV0UW6tLhbRbqp0+fkp6eXuR+uelbRkZGg4eHByYmJmXtRvGEOjIykpEjR750uMDAQBYsWKBlzs7OHDhwoDjulKhQN2zYUBbqInibhdrMzIymTZuycOHCQj/VeRuEOv+6zTIyMq+Pd6LpOz4+nrlz5750uKlTpxY6J/KaNWuK406JCnX58uVloS6Ct12oNeXN2tqabdu2ae1/EaFOTk7G2tpay1xcXAD4/vvvsba2JioqCoDdu3djbW3NqlWrSsT/p0+f0rNnT6ytrUskPhkZmaJ5J5q+o6OjmTRp0kuHmzFjBitWrADyBu/079+foUOHcuvWreK4Izd9lxJLly6lRYsW7N69m+vXr/PHH38QFhbG7t27X9pu3brFpUuXXilsUaaZJKEwyy/UGlMqlfzvf//j6dOnGBkZcfz48X9Mf3p6Op9++ikJCQlcu3aNmjVrinXZf/vtN0xNTYmJieHWrVu4uLjQs2dP5s6dW2ITKnh6eiJJxbp1ZWRkXoB3okb9qn3UtWvXpnnz5ri4uIiHZa9evYiIiCiOOyUq1Do6OrJQF8GiRYvEdatduzZKpRJLS8t/XI85v+nq6qKjo4MkSTRo0ICaNWuiq6srTKFQFPg//7Z/s/bt2+Ps7FyoKZXKIv1q27btC9WoCxPqX375BYBNmzbRpk0bkpKSOH78ONu3by80Ds3sSprZqJ5HM4vV2LFjefz4sdjm4uJCrVq1kCSJESNGkJiYKPatX78eFxcXHj58KLZpZnV6/iWhsG2A8ElzjMY3tVqtta+wbRcvXiQtLU2cV/PCBLBr1y5WrlyplVZNWI0VdY6DBw8WiDMnJ4cjR44USMuff/7J33//zcOHD4mMjCzQRaA5Nn98RaW1sGtVWNrz/5+Tk0NcXBxRUVEizuev8fPb8vuUf9/zeZh/u7+/v+gqzMnJYfPmzWzZsoXY2Fg2b96Mn58f586dw9XVtcA1zsjI4MKFCwVmUissb/LnX36f83e/FJbHz1/nosrbm857LdQ+Pj7i4WhjY4OdnR0WFhaEhYUVx50SFerPPvtMFuoiCA8PfyeavvMvnlG9enXs7e1fWKinTp1KampqAaFevnw5Dg4OnDp1ik6dOhUZx5QpU5AkiYYNG2JoaMj9+/fFvpycHIYOHcqqVatYvnw5kiShUqn47LPPaNmyJR07dkSSJHbu3En//v3Jzs6mX79+rFu3jkWLFjF48GD8/f0LvJTEx8eTnJzMF198Ic77559/avlVuXJlunfvjkqlwtXVlUmTJpGVlUX79u2xt7fH1NSUsWPHEhISQt26dbG3t6dixYosWbIEHx8fFAoFfn5+ODo64ujoSHh4OGPGjMHHx4cOHTpQs2ZNrl27RkpKCs7OzixbtgxjY2NGjx5NTEwMjRs3xsfHR/gTGRlJvXr1+OWXXxg1ahT29vaEhISwfPly6tatS0REBF9//TWurq6oVCo8PDzQ09Njx44dha5ctnnzZnR1dfH19WXu3LlIksSNGzf46quvqFixIgDe3t7o6OgQEBBAcnIy5cuXx97eHktLS3bs2CHmc69fvz6VK1dmxowZVKlShdq1a6Orq4u9vT3W1tairNWvXx9jY2MOHjxITEwMH374Ienp6VSoUIGLFy9y6NAh9PX12bZtGyEhISgUCg4cOCCWTd21axcJCQlIksSjR4/43//+h1Kp1CovHTt2ZOLEiURHR9O2bVtsbGwYOnQodnZ2BfJg+PDhGBoaYmtri4GBASdPnmTixInY29sjSRKjRo1iy5YtSJLE/v37RThDQ0PatGnDw4cPqVSpEr169eLWrVuYmZnh4+PD8ePH8fLy4tatW1SuXJlx48Zx5coVLCwsaN26NY6OjtjY2PzjvfWm8V4LdUZGBitXrmTFihWiuXvjxo0kJCQUxx256buUWL169Tsl1KtWreLu3bvAi/VRp6en0759exISEkhKSqJ58+ZCqLOzs4X4N2/evMgyHRoaiiRJpKSkYGNjoyXUd+7coWrVqgBcvnyZlStXcvv2bfHQ9fT0pGPHjly6dAlra2tiY2NxcHBg/PjxfPTRR0iSREBAAK1ataJv376sWrUKHR0dxo4dS79+/bC2tmbcuHFIksSgQYNQqVTi3CNHjqR79+7k5uYyfvx4Jk2aREhICCYmJnz11Vd88MEHKBQK2rdvz9ixYwE4dOgQFy5cIDg4GENDQ6ZPn07v3r0BuHLlCgYGBiL+Dz/8kHnz5pGenk6vXr3IzMykW7dujBkzhpiYGJo0acLixYu18srJyQknJyf69+8vtmmEevv27Tg4OAihTkxMxM7OjsqVKxMUFFQg3zdv3kyVKlU4e/YsrVq1EkJ99OhR+vXrB0BAQAD6+voADBkyRKwQOGPGDBwdHdm7dy9OTk6kpKTw119/sXLlSs6ePcvZs2epUqUKkPeCcfDgQRo0aMCzZ8+YP38+DRs25OHDh/j7+5OWlkb16tWZNGkSERER1K1bF4Dr16+jq6srasuFCfXVq1epUaOGSFN+oQaIiIhAR0eHhg0bal1bDa6urjg5ObFv3z4aNWpEdHS0mDtAkiTc3d3JzMzE3Nyc06dPi3A9e/Zk6NChQJ7Y9+zZE0dHR3GMm5ubWC1u7Nix6OjoAGBra8vmzZuZMmXKWynUH3/8cVm7UXafZz3fXFISo1hloS4d3pXBZGvXri2w/0WFeu7cuTx79qxAjVqlUommbx0dHdzd3QuNQyPUurq6SJJEXFyc2BceHl6gD/p5oZYkSQj13LlzcXBwKHCODh06iLEgc+fOZezYsdjb27N58+Yi0zZy5Eitl5jo6Gj279/PgAEDtI7r2rUrY8aM0dp27NgxDA0NkSSJYcOGAXkPuvxC/eWXX/Lll1/y+PFj2rZtK4T64sWLQqh1dHRQKBRMnjwZyBNqSZIKlDnNC1F0dLQQaoAWLVogSRJbt24tkD6NUM+dOxe1Wq0l1JIkMXv2bBwdHUX+t2rVivXr1wOQmpqKo6Mjc+fOpUePHgXizi/UAPfv38fZ2ZmMjAwuX74sRGrIkCGUK1dOtFhohFpHR0d0Cf3xxx9aadSUk/xCrVAokCSJ7OxsLaEGmDBhAq6uroUuvvHo0SNxHo1QAxw4cACFQsHBgwfFuSVJombNmqjVar777jstoZYkiUqVKolnt5ubm3g58vf3R5IkDh48iK2trVYL6tvE8+W3rCgToc4/6vuzzz7D1NSUqlWrvlFN3/3795eFugjeZqF2dXVl/Pjx3L59u9D9/ybUhw8fJjg4GA8Pj0KFOjs7Wwj1qVOnqFSpUqHCGBoaSq9evcjIyMDZ2VmIEvx/jXrFihU8ePCAdevWFRBqT0/PAjXqX375hTNnznDmzBmgcKHu168fY8aMISkpiWfPnnHu3DktvzQ16pycHIYNG6ZVo7506RJqtZpVq1axdu1aHB0duX79OpGRkZw/f57Y2FhMTEwYOXIkxsbGXL16lf3796NQKITYffjhh8yfP5/k5GT69etHVlYW3bp1Y/To0QC4u7vj4+MjmqUhT6h9fHz47LPPxOj55cuXY2JiQkhIiJZQHzlyhBEjRtCnTx8cHBwKTF6zefNmypcvz7x58woIdf369QHtGnWrVq2EAAYHB2NlZcXOnTuxsLBgx44dJCcni+bhwoRaU6PeunUr9vb2hIWFFehayF+jPnTokGj6hv+vUT979gwnJyctoY6Pj6d58+bo6elpCfWsWbMYP348H3zwAT/99FOBsrd48WIkSaJFixZaQq1Jb//+/cnIyBBdC82aNcPV1ZW5c+dqCXXHjh1p3bo1ixYtQqVS4ebmJu6DlStXatWot2zZQlhYGBUrViQkJKSAT28q77VQ56/VaN6eLS0tZaF+S3ibhTopKekf9+vr6xd53e/fv0+LFi0wNTXl22+/JTc3Vwh1u3btAFi2bBlJGoaPAAAgAElEQVTly5dn/vz5ZGVl0alTJ5RKJRs2bNCKa/LkyRgbG2Nra0uFChW4du2a2JeTkyP6CGvVqsXgwYNRqVR8/vnnoo/azMyM2rVr88UXX5CdnU1UVBQKhQJzc3OmTJkC5Al1mzZtUKvVVKlShQcPHpCcnIy+vj61a9emadOmHDp0SMsvjVBnZ2fTo0cP0Uft7OyMhYUFdnZ2hIeHc+LECczMzKhWrRrW1tYkJSXh4+ODjo4O27dv5/vvv6dx48acOXOGMWPGYGpqip2dHbVq1SI8PBxbW1t69OhBTk4OxsbGVK5cWeRvlSpVMDc3Z/jw4URGRtKgQQOcnJzYsWMHOjo6LFq0iFatWlGvXj0iIiKYP38+RkZGpKenU61aNcLCwkSLhUYANeRv+s4v1EX1UUdHR1OuXDns7OywtLRk586d5Obm0qVLF0xMTKhTp45oqvf19UVXV5c9e/aI8iJJEkuWLGHw4MH8+eefhIWFietuZGSEqakphw8fRl9fn61bt+Ll5YUkSUyePFmrjzoxMRFDQ0N8fHxEH3W9evUoX748V65coUKFCkycOJHjx49jZGQkypgkScycOVMrDyRJYvz48SxatEj0UUNeq6a5ubl40dTX16dOnTqYmpoyZ84cbGxsRB/18OHDGTx4MLdv38bQ0JD4+Hg2bdqEiYmJ6Hr46quvuHz5MhYWFlSrVg07OzusrKz+ccKhNw0PDw+tloqyokyEOjIyktu3b6NWq2nVqhXbt2/nr7/+IjU1tTjuyEJdSrzNg8n+jbdhwpMX5ciRI6IG9KJs2bKFyMjI1+TRm8Hw4cMLbLt//74Yp/A8iYmJhX46OnXqVK3fN27cYMuWLSXjZCnx/KeIW7Zs4ezZs0UerxH194X3ukY9depU7Ozs6NGjB9bW1kiShIGBAbt27SqOO7JQlxI//PCDLNQyMjLvPB4eHgXGZ5QFZSLU06dPx9zcHBsbG2HW1taFDv54Gfz8/EpsIghZqItm6tSp76xQ165dm/Pnz5OdnU1iYiKxsbGlbvfu3XvlsA8fPiz0u+z8ZGdnk52djVqtJiUlhZSUFBFepVKVSZqLm1/58+zf8i8lJYWsrCxiY2PJyMjgwYMHJe5TUlJSmedLURYXF0dKSgpxcXGkp6eTlpZGbm4uCQkJIn9yc3PJyMggNjaW+Ph4MjMziYuL49GjRzx+/LjM0xAbG8uTJ09KNL7ExETUarVoms/JyWHQoEEFWk7KgjIR6pCQEGJiYopz6kLx8/OjefPmJRKXvb29LNRFsHHjxndWqHV0dGjUqBFjxoyhTp06KBQKMRq3MNOMs3hTrHr16nz99ddMnz69SBszZgwjRozgm2++oV27drRr106EHzp0aJmn4XWaJEk4OjoyePBgJEnCzc0NU1PTF56spyh7/jwNGzYs87QWZUqlEkdHR5RKJT169ODzzz9nwoQJWFpaoqOjg6OjI5MmTaJfv35IkoSJiQn9+/dHoVBQv359mjVrVuz8Kon7pnXr1iWaLzVr1mTKlCn07NmT6dOn89VXX2FhYfH+Nn0vXLiwQN/Id999x4ULF4rjTok2fffp00cW6iJ4mweT/RupqamyySabbFpW1pT551n5rSQW5XB0dCxWHBrkpu+ieZeFWkZGRuZNo8yEunnz5owYMUIIdEkJdUkJiCzURRMcHCwLtYyMjEwpUWyhrlSp0kuH0wxYgLzZbACioqLeqClEZaEumnf58ywZGRmZN41iC3X16tVfOtyMGTPo2LEjgwYNombNmgwaNAhbW9sSqVE/P8HBq1KrVi1ZqItAFmoZGRmZ0qNYQh0fH0+rVq1eOtysWbMwNDTE2NhYmFKpLBGhlmvUrx+5j1pGRkam9CiWUN+6dQsXF5eXDqdSqQrMtbx3714xR/GrUpKfZ8lCXTTv8udZMjIyMm8axW76fpUJRjIyMujbty/W1tZA3qLyryL4zyNPeFI6yE3fMjIyMqVHmYz69vT0xNHRkcaNGxMbGwuAiYkJAQEBxXFHbvouJUpSqDWTUJSkFWfSAycnp9c62UZ+H1/HZCm9e/fG3Nycfv360a9fP7GK0e7du/Hy8qJGjRpiUouynHSjsPz4t7KQP8/+af/rnGTjbbHC8uP5fbJpW5MmTdi5cye7d+/G3t4eX19f6tati4GBQbEHOheXYgu1ubn5S4fz9PRk6NChNGnShCVLlvDll1+W2OdZ1apVK1YcGmShLpqSFGrNSj4BAQElZkePHn1hKyxc/t8l6Vdp2cuk/2Xt+fOUdVrLIn8KS3th+fMm2+ssIy9aft5Ee97f+fPno6ury+HDh0vkeffKz8niBL548SLGxsYvHS4pKUksMK8xe3t7raX+XgW56bt08PLyKlGhXr58eYnEJSMjI1PSvBNC/SpN39nZ2ezevZvly5ezfPlyVqxYwZUrV4rjCpAn1K1bty52PCAL9T+xZs0aWahlZGTeC95boX5d+Pn5MWjQoBKJSxbqohk/frws1DIyMu8F74RQ/+c//3npcIXN9W1sbMzBgweL4w5+fn7Y2dkVKw4NslAXjVyjlpGReV94J4T6TVuUw8TEpFhxaJCFumhmzpyJj49PicQlC7WMjMybzHsr1Ddv3uTWrVsANGrUiKioKADUanVx3JEHk5US4eHhJdbF8G9CnZycTHBwMIGBgTx58gSA69evExAQQFhYGNnZ2SXih4yMjExhvLdCPW3aNBo2bEjPnj1p1KgR0dHRxXFDIAt16RAeHs6wYcNKJK5/E+qHDx9iYmJC7dq1uXnzJsnJybRv3x5Jkvj444+FeMvIyMiUNGq1+v0WanNzc6ysrBg1alRxXNDCz88PHR2dEolLFuqiKenvqP+t6Xvx4sU0bdqUe/fucf78efr371/gmLS0NO7fv09WVlaJ+CXzdpGSkkJcXFxZuyHzDvLWC/W6deteSaiDgoIICgoiNze32M3d+ZFr1KVDWQr1hAkT+PPPP7X2//3338yePZuZM2cyePBgcnNziY2NZdGiRZw/f14cFxgYiJeXFwDnz59n8eLF4uEeExPD/Pnz2bJlC5cuXcLT05OQkBAA4uLiWLx4MU+ePGHZsmV4e3sD8Ndff/Hzzz/z+PFj4uPj8fT0JCgoiLt37zJ//nx8fX2BvAl+Nm7cSE5ODp6ennh6evLkyROWL18ufh88eJCEhAS+//57fvrpJyBvlTlPT08SExOJjIwUPt26dYuZM2fy+++/A3Dv3j0Rz9q1a8nMzATA19dXxKVJe0JCAn5+fiIfbt++zZw5c/jvf/8r0qo57/P5rGHWrFl4enri5eWFl5eX8OvOnTvMmTNH7AP43//+x4wZM7h58yYnT55k06ZNABw4cABPT0+OHj1KXFwc3333HWvXrgXg0KFDIj2a/AXYs2eP2O7p6cnFixcB8Pf3p23btigUCmbMmEFcXJy4VvmP1+Tv6dOngbz5AFavXk1aWhp+fn7s3LmTzMxM1q1bJ/zPf95Zs2aJLrvw8HARb2hoKABbtmxh3759JCcn89NPP7Fo0SIA5s+fL47VcOTIEWbMmMGMGTP44YcfSEpK0srjM2fO4Onpyfnz57l69Sqenp4EBgYCsH37dhHf1q1bAQgJCcHT05NLly4BkJ6ezurVqzly5IjIX02YGTNm4OXlxbNnzwDYsGGD2K5Wq9m8ebO4tl5eXnh7exMTE6NVJjXX6vDhw6xfv56srCyuXbuGl5cXp0+fZv/+/Xh5eYnjZ8yYwfXr1/H392fDhg3k5ORw/vx5rTzRlCVPT0+2bdsG5L2A//LLL1rXMP811Vh8fDyLFy8u9noRhfHWC/Xo0aNZvXr1S4erWLEi8+fPL86pC0UW6tKhLIRaoVBgbGzMsmXLyMnJ0dpvaGjIH3/8QW5uLmPGjGHhwoWEhYVhYWGBra0tf//9N2lpabi4uIjy4evri46OjhDTn3/+WfzOyspCkiSWLl0KwKZNmxg2bBi5ubm4ublhZmYGwJIlS0TXzZUrV5AkiYyMDE6dOoWpqSkbNmwQaVy4cKH4f/DgwZw+fZpu3bqRmJiIk5MTU6ZMITc3FycnJ+zt7QF4/PgxLVu2JDExkVu3btGgQQMyMzMJDAzEwMCAXbt2AVC/fn1CQkK4f/8+urq64oHr4uKCra0tALNnz+aDDz4gISGBQ4cOiXwICgqiXLlyQvSNjIxYsWIFiYmJdOzYkbt37xa4Hnp6egQFBVGlShUcHR3ZvHkz8+bNo1OnTkRFRXHq1ClsbGzYuHGjuCenTp2Kra2tyO+IiAgkSSI1NZXz589jaWnJ2rVr2b9/PyYmJvj7+/PkyRMUCgWjR48G/l8wjx49SuXKldm6dSt+fn6Ym5tz+PBhUlNT6dKlC1999RX37t2jadOmzJs3j9TUVLy9vbl+/Tq1a9dm1apV4lqMGTMGtVqNUqmkf//+pKSk0K5dO77++msANm/ezC+//EJKSgqSJDFz5kxWrVqFg4MDV65cYcSIEeLLl88//5xx48Zx7NgxdHV1qVatGt7e3ujo6BAaGoqVlRVOTk74+/ujr6/PxIkTWbx4Mba2tuIFQMOaNWuQJIlNmzbxxRdfYGhoyNGjR1m2bBkODg5cv36dkJAQlEolAEuXLkWSJFFxioqKQldXl5kzZ5Kbm4uDgwNt2rQhJSWFr7/+mo8//pinT5+ye/duBg4cSGRkJM2aNaNy5crMnDmT27dvI0kSvXv3ZuzYsfzwww9YWlqybds2fvzxR/T09Ni1axfTp09HV1eX+Ph4rl69So0aNZg3bx6zZs0SeTZixAj27dvHnj170NfXx8XFhaysLDZv3izK4ejRozEyMiIlJYUFCxagVCoJDg4mIiKCTp06kZqaSseOHZk0aRLt2rVj8+bNGBkZcfDgQWbPns3ly5exsbERLxAlyTsh1OvXr3/pcMOGDeO7775jyJAhHDt2jK1btxIREVEcVwD44YcfqFOnTrHjAVmo/4myEOomTZrg4eFBpUqVCAoKEvt+/vlnGjRoIB50kyZNQkdHh7CwMBwdHTE3N+fkyZMkJCSIOX0hT6jr169P8+bNUavVTJ48GUmS2L59O5D3oGzSpAkqlYo5c+Zw4cIFANzd3TEyMmLbtm24u7sXEOpLly4xadIkDAwMRG1n4sSJNG7cGD09PdGClJSUREhICBs3bsTe3p7JkycD0L59eyHUe/bsoVWrVjx69Ijbt29jZ2eHSqVi5syZKBQK9uzZQ2RkJNbW1qImtX79epRKJVFRUbi4uFCrVi0SExOZO3cuH374IQ8fPiQoKAhJkjh//jwzZsxAqVSye/duNm7cSLVq1URafXx86NSpE/fu3ePXX39ly5YtBAQEkJubS1hYGFWrVmX48OEAJCQkYGlpibu7OwMHDuTLL79k5syZAOzYsQNJkpgwYYK4bnfu3EGSJHx9fdm6dSs1atTA19cXd3d38SIE0LdvX3HNDhw4wPz588WL0NatW1m4cCE1a9YUx48fPx5nZ2ch1IsXLxb7rl+/Tq1atfjhhx9YtGgRkiTx1VdfAVCnTh369++PSqVi2LBhoqbXqlUrBgwYwODBg/nyyy/x9vbG3NycSZMmAXlN7pGRkUCeUHfo0IGBAwcSHh4uzjl//nwWLFiAqakp/fv3R61W07hxYz7//HMGDBigVX41nDt3jqpVq9KzZ0/x0gBgZmaGu7s7kLfMcPPmzfH29mbp0qX07NmT+vXrExkZSffu3alSpYq4Bs2aNcPR0RGAR48e4eTkxLNnz3Bzc6Njx44MGjSIAQMGMGjQIFFGJUli//79QF4LgFKpZODAgQwcOJABAwZw8uRJpk+fjiRJrFy5Eh8fH6pUqcLRo0dRq9Wo1WoxRbDmt729PY0aNWLTpk2MGjUKSZJIS0ujW7dufPfddyKdkiSxbt06xo8fL54Pubm55ObmAnkLORkZGXH8+HEAIdS1a9dm69atXL16lZLivRVqtVrNhQsXcHZ2xtTUFB0dHWrVqkXbtm2L4w79+vWTF+UoBcqq6fvu3bv07NmTunXrin0//fRTAaGWJImwsDDmzJlD165dGT16NJs2bWL48OFaNeoZM2Zga2tLVlYW7dq1w9jYWAh1YmIiTZo0Yc2aNbRt25a7d+/y4MEDWrVqhYmJCaGhoYwfP76AUNesWZP169dTq1YtIdQanyRJ4q+//gLyhK1Lly6cPn2a0aNHFyrUarW6gFB/8skn+Pv7Y2RkxJ49e1i/fr2WUIeEhFCxYkUSExPp0KEDderU4fHjx8yePVsI9Y0bN6hduza3b99mxYoV6Ovrs3v3bjZs2FBAqCVJ4sCBA8L/zp07awl13759RXoqVqxIUlKSeChryMjIQJIkrKysxDaNUB87doyTJ09Sv379QoV6zZo1dOnSBSgo1Nu2bWP58uWYmZmJmQ19fX3p3r37Pwp19erVmTdvHiNGjBBCvX37dszMzGjdujXGxsZaQr13716RJrVajY2NDR4eHgXK6YIFC5AkCQMDA605Iezt7dm2bRtVq1YVNb7IyEixOEZhQr1t2zaUSiWSJGmtp/BPQn3nzh26devGtGnTGDVqFG3btv1Xoe7bty/BwcFa6dOQX6iPHj2KUqkscNy1a9fEcb/99hvVqlXDz89PlN+PPvqI8ePHizi/+eYbWrZsyfHjx5k5cyaSJBEbG0uzZs1EqxOAq6srO3fupGrVqoU+H5KSkrSEOi0tjRYtWjB16lQWL15M9erVWblyZYFwr8J7K9T5v52uW7cuH374IdnZ2ezbtw+FQiGa9F4WNze3EhNqOzu7Amtmy+RR2kI9ceJE0UedmJjIRx99RIUKFUhJSQHA1NSU5cuXk52djYeHB6tWrSIsLIyxY8dy6tQpypcvT6dOnZgzZ474rMzX15fVq1czefJk9PT0CAgIoHr16kKoAebNm4eOjg5TpkwR2/ILSf6m79jYWOzs7MSDuF69evz8888izOLFi2nXrh22trbExMQQGhpK+/btOXv2LKNHj2bAgAHAvwu1pjne2NhY9PdWqVJFnOvgwYPiRaZDhw6i6Tt/jTo4OFjUUjVN37t372bfvn2ilqtWq/Hy8uK7774TD+acnBxRo9EItZOTEwDPnj3DycmJwYMHc/bsWc6ePcvu3buJioqiVq1arFmzBnNzc77//nsyMjKEUGdmZpKWlkajRo3w9fUlICAAAwMD9u3bB+QJ9ZQpU4iOjubHH39kw4YNWjXqw4cPY2RkxO+//45arebTTz/Fy8vrH4XayckJtVrN3LlzhVDnT+P48eO1hLpx48acPXuWkydPsmfPHn788Udq1arF3r17OXv2LJs3bwaga9eujBs3jm+++QZXV1fi4+OZNWsWkiRx+vRpLCwsmD17NmlpaXh4eNCnTx+8vb0Lbfpet24dOjo6LFy4kBYtWvD111+TmppKhw4d6NixI0+fPuXu3bu0adOG3NxcfvzxR06dOsUff/yBJEkkJSUVKdTXrl0TQj1y5Ej+85//iGs2ZswY4YMkSSJtZ86cQV9fnyVLlnD27FmOHDnClStX8PT05JNPPuHp06cifzVdC0UJdWFN3xMnThRN35DXnfXXX38xfvx4PvroI+Gfpu9as16Ev78/kNcn36JFCxYsWEBSUhI6OjosWLCAkuC9FmpbW1vWrl1LVFSUeDvz9vZGkiTRrPSyuLm5vZI/hSELddGUplBfv34dIyMjKleuzOXLlwE4ceIECoWCsWPHkpaWxq5du7CwsKBfv344OzuTnZ2Nn58fhoaG/Pnnn7i6uqJWq5kzZw6SJHHu3DmGDh2Km5sb+/bto0+fPoSGhlK5cmXGjRsnzh0bG4u+vr4YSPPo0SPatWsnhNrFxUUI9bJly5AkCbVaza1bt6hWrRqdO3cG8pby9PHxQa1W06JFC5YuXUpoaCg6OjoYGRnRq1cvIZzt27enUqVKDB06lIEDB2Jubs6GDRs4ffo0JiYm/Pjjj4SHh1O+fHnxUvrHH3/w8ccfM2jQIPr378/x48e5f/8+Dg4OQqibN2+Oubk5t2/fFvcZwKpVq0S/NuQJ+scff8yQIUPw8PAgNTW10Ovi5+dH+fLladSoEbGxsWRnZ/PTTz+hr6+PQqGgXbt2PH78GFdXVz788EMAateuTcWKFQkJCRF9sJmZmezZs4fy5cszZMgQ1Go1K1eupGnTpgwePJi+ffsSHx/P6NGjadasGZBX+zUwMBCisnTpUqysrBgwYADt2rUjMTGRy5cvU7lyZSFOkFdua9WqRa9evQBwcHCgS5cuPH36VByTkJCAhYUFTZo0EXkrSRIKhQJDQ0POnz9PeHg4rVq1QqFQULFiRdatWweAjY0Ntra2xMfH07JlSzp27Mj27dtRKpV8++231K1bl4YNG3L06FHKlStHbGwsnTt3pmLFipw8eVIrf9euXYskSQwbNozg4GD09PRYs2YNarWaDz/8kM8++4yBAweKcRBLly5lwoQJ3Lt3j02bNvH48WPatm1L06ZNUavVODg40LBhQ+7du8e0adOwsLAQ3S9mZmYoFAoUCgVbtmwRPkiSJGrvarUaNzc3dHR0UCgUNGvWjOTkZKZPn46FhQWJiYlCqHv37i3C6OjoaAm1vb29EOoJEyaIVpWYmBj+85//0LFjR4YMGcK0adNITU0lMDCQOnXqoFAo6NChg/gc8/fff0eSJCHGV65coXr16pibm/PNN9+wefPmEvsK4L0V6po1a6JWq3n69ClpaWniLT03N5fMzEzx+2Vxc3Mrse97ZaEumkuXLr2RU4jm/zQrJyenwGQoOTk5YkS0SqVCpVKJfWq1mqysLK1t/v7+GBoaah2jUqnEeXJyclCpVKjVarKzs0XcgFYZzsnJEQPgcnJyxItpdna2+K3Zn5ubS1ZWlti2cuVKTExMxLnzx5n/HNnZ2eLBlj89mrgyMzPJzMws4KsmTzR5pVar2bdvH4sWLfrH+1ATThN//mvg5+cnwmrSqNmnub81PuX3Nf/5VCqVVn7mz6Pn81fz+/lBhoWRv58zMzNTK08159HklQZNfuWPX61W07VrV60ylz+t+f/Pf201586fJ8/7kD9PikKlUr3yc1Jz7TTXTaVS4e3trfWFBFDos1iTF/nT8Xxc+cM8n2+aewb+/3n/vG/PfwlUXF0oLpIkabWqlYkPxQn8MkJ94cIFVq1aRWJiIunp6SxevBgTExOsrKyYNm2a+NSiOMhN36XD+PHjtQYGFYc3cQrRa9eusXDhQgYOHMihQ4fK1Be1Wl1mDygZGRlQKBQl1t/9qpSaUK9ZswY9PT38/PywtrYuMM93mzZtiuMKIAt1aTFu3DjRD1Uc/Pz8qFy5svhe+U1h+/btVK9enQcPHpS1KzIyMmWMJEmia6jMfChO4AsXLtC9e/cXOlbTJ/Xbb79hZmam1byRm5uLpaUlYWFhxXFHFupSoqSE+tdff8XMzOy1TFIgIyMjUxJIkiS+yigzH4oT2NvbW+vbt38iNjZWTDCgVCpxcXGhc+fOdO7cWUzMUNx5m2WhLh1koZaRkXlfeOuF+mUHk927d4+uXbtia2urZXZ2diUyR7Ms1KWDLNQyMjLvC++dUGvQjILVWEnN9y0LdekgC7WMjMz7wnsr1Onp6WLeZc1MPiWBLNSlgyzUMjIy7wvvrVB36tQJKysrhg8fjpubG8bGxjRo0ICHDx8Wxx1ZqEuJkhLqrVu3ykItIyPzRvPeCnWlSpWIiYkhJyeHjIwMbt26hYWFhTzq+y1BrlHLyMi8L7z1Qh0WFvZKQm1gYMCPP/5IYGAgQUFBTJ8+HRsbm2KvoCULdelQkkJtYmLCL7/8QlRUlLCMjAzOnDlDcHBwkRYdHU1MTAzBwcGEh4dr7SuJMQ9RUVFi3uHicOXKFU6dOlVge2hoKE+fPiU7O1v4nZCQQHx8fIFjY2NjC92e39eoqKhi+/o8T548ISoqiuDgYK5fv056errI3ytXrhAREUFGRgZnz57lxIkTPH78mOPHj3P27FlCQ0PJysri3LlzQN4qU/nTGhwczKVLlzh27Bjnzp0T5ynKTpw4QVhY2D8e8yL2999/F5rW5ORkEhMTyc7O5sKFC9y+fZv4+PhXPkdx/XxdlpCQINJ84sQJcb/FxsZq5ce9e/e4fv26CKe5VmXt/82bN0ssrqCgIK3fFy5cEJML3b9/n4iICLHYzlst1BcvXmTkyJEvHc7X11esHKOrq4skSRw5cqQ4rgCyUJcWJSnUmnmU7e3thXXq1IlKlSqhq6tbpDVq1IgmTZqgq6tLjRo1tPZ1796dnj17vpT16tVL67e9vT1OTk4vHc/zZmVlhbGxcYHtRkZGuLi40LVrV+F3q1ataNmyZYFjmzVrVuj2/L7a29vTp08f3Nzc6NOnD/3796d///64ubmJ4/r27ftSvmvWxtbV1aVmzZp07NhR5K+VlRV169YV18rQ0JB27dqhr69P5cqVMTIy4rPPPsPU1FTElT+turq6WFpaoqenh6mpqThPUWZoaIiZmdk/HvMiVqtWrULT6ujoSJs2bejatStVqlTBzs6Oli1bvvI5iuvn67JWrVqJNBsaGor77YMPPtDKDwcHB2rWrKl1rZRKZZn7X7du3RKLS6FQaP2uWrUq3bp1o2fPnrRo0YK6deuKybneaqEeN24cK1aseKWwmZmZpKenk56eXiKfZoEs1KVFSQk1IMpASVqNGjWK3Lds2TKsra0JCQkR254+fcqRI0dYvXo1O3fuLBDm8OHDVKlSRWsmvdatW1O+fHkkSeLw4cOv5OfevXtLNN3W1tYlbjNnzhTx+/j4EBoaypIlS/D39yc9PZ2ePXu+lmv4umz79u2vlA9DhgwR/8+aNUsrzunTp5OWllbmaXsRGzVq1Eule/To0VhbW+Pm5oaPjw+urq74+PjQokULnJ2d+fnnn8s8TSVpjRo1wsfHh1u3bnU4kFAAACAASURBVGltL2w+9tKk2H3U3bp1Kylfio0s1KVDSQr128DUqVMLTHmrsapVq4q1oGVkZGReB++cUOdfsL04yEJdNO+bUJ8+fZqqVasWKtS9e/eWF82QkZF5rRRLqHft2vXGCbW8zOXr530TarVaTd++fQuIdMOGDTl79mxZuycjI/OO887VqOWm79fP+ybUAAkJCQWEWjOiWUZGRuZ1UiyhnjVrFosXLy4pX4qNLNSlw/so1KDdV21sbExiYmJZuyQjI/MeUCyh/umnn+Qa9XvI+yrU4eHh2NjYIEkSo0aNIjs7u6xdkpGReQ8ollCfO3dOFur3kHdFqIv65CI7O5unT59qWWZmJhkZGfTp04fy5ctz8ODBAseUpWVkZJRIfmRmZoo409PTC5xHpVKVeVpLK5+ys7NJS0sDKBAuIyOjzNPysvbs2bOXHvioeRnNzMzUKieFxV/YffM2WXp6eoH0Z2Zmltjnw8Wh2BOeyEL9/vE2CnVaWhoLFy7Ust69exfYtnDhQtzd3TEwMNCyjz/+mDZt2qBQKJAkCaVSWeCYsjQHB4dC0/Iy1rdvXz766CMMDAwoX748DRs2LHCe7t27U758+TJP76taq1atXjg/Bg0aRJ06dVi4cGGBcC1atCjztLysVa1alUmTJr1Umfjiiy9YuHAhzs7OzJs3T9w3hcU/cODAMk/ji5pSqURfX19rW/369Zk/f75W+tu2bUvnzp0JCgoq0+eXLNRFIAt10byNQp1/MNjy5ctZuHAhN27c4MaNG4wfP56NGzeK32+jrVy5sshvvYtrtWvX5siRI5w5cwYHBwckSeLGjRvMmTOnzNP9srZ48eISyZM6deowfvx4rbjHjx+Pqakpixcv5saNG0ybNq3M05vfgoODadCgAeXKlaN169ZIkkS9evXE7FuFWdeuXbGyssLDwwNJkli1ahWNGjXC0tKS/fv3l3oa7t69K6bMvXnzJrGxsURERIj9kZGRxMTEiN937twRvyMiIoiMjCQqKopbt25x9+5dbt68SVRUFLGxsURFRfHtt9/yww8/8NtvvzFv3jxWr1799s9MJgv1+8nbKtSffvppoc1bMjIyMkUhC3UJIwt16SALtYyMzPvCWy/Ux44de2WhTk9P59GjR8U5fQFkoS4dZKGWkZF5X3jrhfrXX399JaF+9uwZffr0oW3btgCcPHkSHx+f4rgClKxQ29racuvWrRKJ611DFmoZGZn3hbdeqF+16VtfX18MVtizZw+bNm3C0tKSixcvFscduUZdSshCLSMj877wTgi1l5fXS4erUKECv/zyC8bGxqxbt45BgwZRtWpVwsLCiuOOLNSlxLsq1JcuXWLFihUEBAQAeS09K1asYNeuXeJ7WpmiiY2NpV+/fixdurSsXZHJx8OHDxkxYgTOzs5l7cpbyTsh1K9So/bw8BDfoyoUCnR0dLCzsyv2w1AW6tLhXRVqzSdcO3fuJDU1lY4dOzJ8+HDCw8PLfD3at4G0tDQqV66Mu7t7Wbsik4+MjAxmz56No6NjWbvyVvLeCnVmZiYTJ07EycmJ9u3b4+LiUiLTMcpCXTq8q0INUL9+fW7evMnDhw+ZO3cuOTk5Yt+TJ08ICgri2LFjREVFAXDt2jX+/vtvcUxUVBSBgYGkp6dz7NixAqbh2LFjBAUFcffuXWJiYggMDOTYsWMEBwdz4sQJUlNTRVxBQUE8ePCAhIQEgoODiYmJISYmhmPHjhEREUFERATx8fHCxxMnTpCQkMCDBw84efIkqampREdHc/78efHCER4eLnx6/t67ceOG2FfYTF7R0dEEBQURFBQkznv79m2Cg4OpWLEizs7OWmnNzc0V6UhISCAhIUErTyIiIsSx4eHhBAQEcPHiRa28B7h58yYBAQEEBgYSGRkprmtgYKDIP8ibMTEgIICAgACOHTvG48ePOXXqFEFBQQQHBxMaGkpqaqqI9+zZs4SGhpKWlkZOTg4XL17kzp07Yn9ERATXrl0T+fvXX38RHBxMcnIyKpWKCxcucOfOHVJTUzlx4gSXLl3i6tWrBAQEEB0dzd27dwkICODJkyf8/fffBSbPCAgI4Pr166SnpxMYGEhUVBRxcXGFTrJx/Phxzpw5Q2ZmpohLrVZz+fJlAgMDSUtLIzQ0lOPHj5OSkiKu1aRJk2jSpInWdYG88hsUFERcXByQt1LcsWPHRPnVDPi9ffu2VtiUlBTx+8mTJ4SEhBAUFMTjx49RqVSEhYUREBBAUlISp0+fFvkbFBTExYsXyc3N5cqVK1ppDAoKIjAwUIwNio+PJyAggHv37on9z549E2VE41dAQAB37tzhxIkThISEiGsbHR1NQEAAV65cIT4+nsDAQO7du0dwcLDWPftvvLdCrUGlUpXoWr5ffPFFiQm1sbExoaGhJRLXu8a7LNTGxsYsXryYAQMGcOPGDa19bm5u+Pj40LNnT5o0acKTJ0/o168ftWvXFsc4ODhga2vLgwcP6NChA5988gkHDhygd+/e9OnTB4Dp06czevRoHB0dadq0Kc2bN2flypU4OjrSoUMHNm/ezPr162nUqBHbt2/H2tqaUaNGERMTg5GREXv37iUyMhKlUomfnx9+fn60bNkSlUrF8ePHMTU1ZdeuXQwfPhxLS0vOnj2Lt7c3rVu35uHDh1y9epUaNWqwZs0alEoljx8/Fv6r1WqGDx9OhQoVGDhwIF27dtXKg8uXL9OkSROmTJlCzZo1GTx4sJgIZc6cORgZGfHRRx8xduxYpk6dCkDv3r3ZsWMHlpaW9OjRgyVLlqBUKmnevDn9+vWjfv36REVFsXr1apYuXcrGjRupWrUqSUlJ4rwxMTE0aNCAXbt2MWTIEOrXr8+DBw/o1asXv//+O7Nnz6ZcuXKcOXMGLy8vTE1NWbhwIUqlkpUrVzJq1CgUCgWffvopFSpUYNq0aQAsXLiQ9evX07lzZ+bNm0dKSgqffvopDRs2FOeuW7cuffr0ITs7m4kTJ7JmzRocHR2ZNWsWiYmJtGnThrlz53Lu3DksLCxwdXUlNDQUSZL47rvvuH79OpIkERoays6dO1EoFFp52rZtW9auXUt8fDz169fHwcGB0aNH8/nnnxcon4MHD6ZLly6kpaUxevRoWrdujVqtFgvGPH36lE8++QQbGxuSk5P54IMPmD59OsOHD8fW1pbJkyczfPhwAPbu3UufPn0YM2YMzZs35+jRo/z2228olUo6duyIUqnkk08+EWVWqVRy5swZABYtWoSenh4qlYoJEyawYcMG2rZti7OzM5mZmbi7u6Ojo0NCQgITJ06kTZs2pKSk8Pnnn+Pq6kpWVha9evXCxcWF5ORkJk+ejLu7OwsWLMDBwYFTp05x+/ZtMUER5A3wjY2NZcOGDbRu3RqAmTNnigl4mjVrRqNGjXjy5AkA+/fvp0KFCixdupQ7d+4gSRLDhg1DqVSyfv36f3gKaPPeCvW0adOoUKECFStWFGZpacmFCxeK4w6+vr4lJtSSJHH06NESietd410Waj09PapWrUqlSpUICQkR2zUPZ4CkpCQMDAy4c+cOu3btQpIklixZQkZGBpIk0aZNG5KSkjh06JBoBp46dSpeXl5cvnwZa2trLC0tqVu3LrVq1RI1Ezc3Nw4fPoxarWbcuHEYGBhgZ2eHtbU1bm5uQN6LRGBgIE+fPqVx48bcu3ePM2fOIEl5t3JISAgVK1Zk586d/Prrr9ja2pKZmUm5cuX48MMPefjwIUFBQUiSxP3795EkSUuoAYYNG8a0adPw8vKiQoUKWvumTJkizrVlyxZ69+7Nf//7X6pUqUJ2djZmZmb4+fnh6+tLkyZN8PPzE11b1tbWfPzxx0RERGjlb7ly5QgODkapVGJlZUWDBg2oVq0a3t7e4rynTp2ic+fOQF4N+MGDBxw6dEj4kp2djaGhIUOHDiUrK4tq1aoREBBAuXLlOHLkCEuXLqVp06bcvXuXixcvIkkSarUaSZKwsLDA0tKS8uXLk5KSgqOjI5Ik8d///pdnz55haGhIjx49SE1NRVdXl3r16lGjRg2qVavGo0ePaNWqFZMnT0alUmFnZ0f79u2BvLE4/v7+pKam0qhRI2JiYggLC0NPT4+nT5+KtLm7u3Po0KH/Y+/M42rK/8d/qqtQKYlhjCXb2Bn7vo0RWQtJdoMmlCwZpET2sQ3TkGUGGT72kbFnmxFaEanIliWFtGq73efvj/u77293LIOydp6Px3nQPeee8z7nnnuf5729XgAcO3YMXV1dmjVrRkJCwnP356JFixg4cCA+Pj7o6+uzfPlyAJYsWYIkSaSkpLBy5UosLCzw9/dHoVBw5MgRcf9mZ2dTrFgx3N3dMTIyYufOnYC6O7JPnz7k5OQgSRIRERFcu3aNatWq4e3tzaFDhyhSpAijR48G1AOCbWxsyMzMxNbWlhs3brBu3TrxeUycOBEdHR0AVq1aRefOnQGYNGkS3bt358mTJygUCkaPHs2dO3do1KgRAEqlkho1atCnTx8ASpYsib+/PykpKUyZMkXcv7169SIlJQVXV1dxzPXr11O/fn0SExMBOHPmDCYmJmzduhWAyMhI9PX1xUPa61JoRZ03XaBm+dgGk5UuXZrQ0NAC2dfnxqco6vv377+WqKtVq0ZkZCStW7dm/PjxosVHU+MFdQyADh06MG3aNLZv306DBg2oV68eS5cuZe7cua8U9YULFyhXrhwhISFkZGSQmZkpjmFrayuaAseOHUvnzp3JyMggIyNDJAYwMDBgy5YtBAQE0KBBA+7du0dkZCTlypUDnhe1ubk5np6ezJkzR4j61q1b1K5dGycnp5eKWjN+pFmzZlrrXFxcxA+jhp07d1KmTBkAevbsKURdtmxZPD09MTQ01DoPlUqFqampaLHq1asX48aNo0mTJmzatElsm7dJ3tHRka+//lrruHlFDQhRh4aGUqJECRwdHVEoFGzYsIEVK1bQt29fQN098eWXX6JSqahQoQK7du0iOjqa3bt3C1G3adMGKysrBg8ezOrVq4WoK1euzL1790QZNaJWKBQEBARQunRpIWpJkvj++++ZM2cO9evX5+7du4SEhCBJEp06dWLGjBk8ffpUS9S5ubkoFAp69OihJXMNixYtok6dOvTr14/mzZszZcoU4P9Effz4cZo3b46FhQVHjhxBT0+Pq1evaj1oSpJEx44dMTQ0FKJ2dHSkR48e5OTkoKurS0xMDImJibRu3Zrly5dz7NgxPDw8sLS0xN/fnyZNmmBjYwOou3E8PDwYMmQIDRo0AODAgQMvFXWnTp1wc3PDxsaG0aNHExgYqOWRn376SYhakiScnJw4fvy41oOmnp4eAQEBDB48mPbt2wNqUZcvXx4vLy/c3Nzw9fXVEvXdu3cpV67cG/fVF1pRJyUlcf/+fUqVKsWmTZtITk7m8ePHz/VJvSlyH/X74VMU9Zv2UcfFxdG8eXN++uknAFavXk3lypWJiIgQoo6JiWH79u0cOHAAXV1devXqRU5OjhC1g4PDS0X9v//9D4Bly5Zx+vRp4HlRGxgYiL81+ylRooSoiWpEfe/ePfEDqRF1Tk4OmzdvRpIkFi9eDCB+6GJjY6lfv76o3WmaCjWMHDmSqVOncvToUUxMTMSPOfyfqDWtTTt27NASdbly5Z6rUSsUCnGOe/fuBXhO1EFBQYwcOZIhQ4aI85g/f744bmhoKJIksWLFCkDdevYiUW/bto21a9fSvHlzlEolkyZNYubMmSxdupS6dety+/Ztrl69ip6eHiqVCn19fa5duwbAvn37SE5OZtq0aSQkJKCnp8egQYMIDAwUojYwMBD9ubt27RKinj59Okqlklq1aglRGxkZceLECTIzM0WzcUhIiKhRdurUidu3b2uJ2s3NDRcXF/T09ETXQV4WLVrE119/TXR0ND/88INoadGIWqVS0bt3by1R+/n5aYlaU6P+t6hXrFghatSaMQA9e/YUos7KykJXVxd9fX1Onz6NjY0NSUlJGBoacvv2bXbt2kXx4sWBV4takiQeP37Mxo0bhagVCoU4x5o1a2rVqP/++29UKpWWqDUPCW5ubhgbGwNqUTdu3Ji//voLSZJo3769lqi9vLyYOHEiurq6byTeT17Uu3btwtHR8Y3eExsbi62tLW5ubmzatAmFQkHnzp1p2rQpKpUqP8XB3t4eT0/PfO0D1INpmjVrRnx8fL739TnSs2dPtm3b9qGL8Rxbtmx56SCR06dPM2DAgFemrHN2dsbY2Fj8MCxevBgdHR32799PTk4O1atXZ9y4caxfv5558+aRmZnJzJkzCQ4OZs2aNfj7+2NnZ0f37t1JTU1l8ODBTJs2jaysLIYPHy76qN3c3NDR0cHCwoLRo0ejVCqJiopCT0+PESNGAOqpYnXr1kVXV5fevXtz6tQpdu7ciZmZGVevXhX9nufOnWPbtm1IksSWLVuYNWsWxYoV47fffmPKlCl8+eWXxMTE0L9/fywtLQkNDWX+/Pl4eHjwyy+/8MUXX2gNrHry5Ant27fH0NAQJycn+vbty7lz58R6pVKJQqFAoVBQu3Zt/P39USqVGBgYMHPmTIyMjGjRogXdu3dnxowZgLqrS1dXl4YNG7J48WJu376NJEkMHDiQZ8+eiZplUFAQpqamlCxZktmzZ2sNZEtKSmLo0KHo6OjQpUsX7t27h0qlYvz48ZiYmDBkyBAGDRqEUqnk6NGjNG/enBUrVjB48GAuXbrE6NGjMTU1ZcGCBaxZs4YFCxYAMGLECNHdMW/ePJ48eULnzp1JT09nwoQJHDx4kC5dujB+/HhycnIYOHAgRYoUoVq1avj4+HDv3j2qVKnCzp07iY6Opnz58owYMYK///4bhUKBj48Ply9fxtTUlIsXL4rPqn///nz77bds2bJFyOj06dPMnTsXlUqFt7c3kiRx5swZcQ3i4+MZNGgQbdq04dGjR3Tu3BlHR0dUKhWTJ08W4wmsrKxwcnJCpVIxbNgwFi9eTJ06dfj666+ZOHEi33//PUqlko4dO9KqVSu2bNlCixYtOH78OJcuXaJu3bosXbqU//3vf0yaNIns7GxGjRrFjh07cHd3x9vbmy1bttC6dWsyMjJo3749rq6uuLq6YmFhwcGDB7G3t0dHR4eoqCiGDh1K8+bNSUpKomvXrgwaNIicnBxGjRrFzz//jEqlEtN1V65cyeDBgzl//jzz5s3jyy+/FA9SXbp0ITk5mU6dOjFlyhRycnIYM2aMGE/g7u6Oo6Mjbm5uDB06lDlz5jBgwAACAgLYsmULkyZNAtTdW5p9/Rf37t1DR0dHPLB/KPIlakdHR9auXftG73n06NELs7TUq1cv36L+4osvOH78eL72AbB8+XJ69+6d7/18rpQpU4agoKAPXQwtDh06hK6uLlWrVn1hy8yPP/74nw9xISEhnDt3TggiKSmJoKAg0ecVExPDuXPnCA0NFc3Vly9fFs3XKpWK4OBgbt++DahHpCYmJqJUKrl69ap4SFCpVAQGBhIdHS328/DhQwIDA7Wi4cXGxhIYGEhaWhqglqhmxGxcXByBgYGkpKSIka9nzpzhxIkTlC5dmt9++42AgABCQkJQqVScOHGCyMhIEhISCAkJIT09nYCAAK5evao1oFMzajgwMJCIiAitPMQagoKC+Oeff7hx44b4zgYGBrJ69WoMDAxYuHAhMTExYp2mH/3WrVuoVCq2bt2KsbEx69ev1xpQmpWVRVhYGKGhoS/8DBMTE7U+D4DHjx8TGBjIvXv3xH6USiUPHz4kJycHpVKJSqXiyy+/pFu3bly6dInLly+LssXGxnLu3DmCg4N59uwZWVlZREZGolKpSExM5NGjRwQHB4v+4gcPHojPTqVSkZGRQWBgILm5ucTHxxMYGEhCQgIxMTGEhISQnJzMgwcPCA8PJysri1u3bhEYGKh1HpcuXeLZs2fExsaKUfSafeX9TUxJSSE4OFjUdoODg4mPj0elUhEVFSWmt0ZHR4vzzs3NFX3kP/74I0FBQeLaau6hoKAg4uLiUKlUxMbGUq9ePY4fP861a9fIzc0V929OTg5paWlkZWVx+/Zt4uPjyc3NJTIyktu3b/Po0SNiYmLIysoiIiKCwMBA4uPjCQoKwsHBgcjISAIDA0WLxL1798T9pflOREREiO9JdHQ0ly5dEp/rzZs3UalUBAUF8fjxY3HsO3fuiM89JyeHnJwc8R159uwZKpWKhIQEcS2DgoK07t1XsX//fvT09ESLx4ciX6L+4Ycf3mj0nIbOnTuTnJwslp07dxbI3EtJkgokb+iyZcuwtLR84Y+UjLr//mMTdXZ2tnjoMzAwwN7eXmuMgaura4G0tnwKZGVlcfTo0fd+3JMnT1KsWDF27dr1yu1Wrlyp1fT9rlGpVDRo0IBRo0a9l+N9bFy7do2KFSu+Vq3wzp07ouumIMnNzS3QGT7vCz8/P/T09Dhy5MgHLccHEfWL0PRh5YfGjRsXmKjbt2//Wk0jhZEPKeqkpCRiY2Ofe10z8lmz6OjoiBGeDx48KFSi/lDExcXxxx9/iBrOy/D392fbtm0vHNX8LtDM2S2sY05UKhV+fn4cOHDgP7e9ePEiBw8elCsp/59CLeq8P6iauN/16tXLT1EA7cE4+WHZsmViMIPM80iSRMmSJalQoQJlypTBwMBA6zPV09NDkiQUCgVFihRBR0eH4sWLo6+vT7FixdDR0UFPTw9dXV2MjIwoVqwYRkZG4v1FixalaNGiGBkZiaV48eIYGhpiZGREkSJFxLaa14oWLfrCLpW895gsahkZmTdBFvUL+qjzS0GKul27ds+NhpVRU7x4cRH/Oj09nVOnTjF9+nSx+Pj4MHPmTDZu3MiOHTuYP38+N2/e5OjRo0RFRTFr1iyxbXp6OpcuXSI9PV28pukz1Ow/PT2dW7duERcXR3p6Ov/73//Etg8ePCA9PZ3z58+/VNRWVlY0btxYFrWMjMwbUahFrZlSMnPmTPH/FzVnvikFKepu3brJ8Z1fwsfYRw0vfgBcuHAh6enpTJkyRRa1zEfBzJkzWbt2LWFhYSLVr8zHSaEWdbly5dizZw/Dhg1jz5497NmzR0zlyA/9+vUrMFHXrl1bxHOW0eZjF7WVlRUTJ07Uml4n91HLfCxMmzaN+vXrs3PnznyFYJZ59xRaUf/999/vrOm7f//+BSbqb7/9VkyLkdHmYxX1qFGjOHLkyAvnSv+XqKOiohgyZAhz584FwMbGhn379mltc/XqVWxsbNizZw8Aw4cPF+vu3LmDjY0N27dvB+Cvv/7C0dFRTEUBsLOzY9WqVRw5coTRo0eLaVwRERHY29tz5swZPDw8cHZ2BtSDgGxsbLh//z42NjYsXbqU9PR0ZsyYga+vL7du3WLUqFFvNML74MGDeHh4iL/Dw8MZMGAAoA5fqYl09ccff7Bp0yZA/X3Imyt++/btTJkyhaSkJBISEpgwYYK4FkOHDmXZsmWAOuyqjY0Nubm5zJ49GxsbGx48eMDYsWP54YcfxP6OHTuGjY0N/v7+LFu2DDs7Oy5fvszw4cMJCAjQKv+2bduwsbERi+ZYFy9exNLSEmdnZxITE/H29sbGxobs7Gw8PDz4/fffuXv37n/GRvj3yHBN0JGVK1dqjWa/d++e1jkAokwODg7cvXsXGxsbPDw8yM7OxsbGBm9vbxITExk8eDCLFi0iPDycgQMHagV2kfm4KLSizsrKokGDBvj7+5OYmEhiYiJbtmwpkCfLPn36aMVnflu8vb3lyGSv4GMV9av4L1FfuHCBUqVKYWVlBahr59bW1lrzec+fP4++vj4LFy5k7ty5VKtWjcOHD/Prr7/SqlUrpk2bhq6uLvv27SMzM1MEIQF1AgSFQsHOnTtFfPA1a9YAsHDhQnR0dNi+fTt9+vQR11elUtG6dWuePHmCnZ0ddnZ2pKam0qVLF0qVKkVUVBSVKlUSYT4lSWL69OmAOoJZlSpVCAoKQqFQsGDBAn7++WeqVq1KxYoVGTx4MOnp6XTt2hVJkjh69CgtW7akXLlyhIWFUapUKSEpSZIYPHgwjx49ol27dixevJiyZcsybNgwcnNz6du3r4hMNmfOHBo3bsyDBw9wcXHByMhInKOpqSm3b9+mTp06VK5cWYQI1cSI3r17t4gqNX78eEqVKvXc/FUdHR0qVaqEnp4eTZs2pXnz5ly8eJHvvvuOhIQEdHR08Pf35/z585QoUQJnZ2cRAUypVNK+fXtq164NgJmZGZ06dSIpKQl7e3vGjBlD1apVadu2LQ8ePCAyMpJKlSpRrVo1DAwMRAQsLy8v7OzsGDJkCGZmZpw5c4ZffvlFBKBxcnLC2dmZkiVL0qNHD3EvnDp1inv37lGvXj1WrFghYlH37NnzbW9rmXfMZyFqR0dHfvvtt3wXwsfHRyv60dtSqlQpgoOD872fZcuWyaJ+BZ+jqAEsLCywsrJi7dq1SJLEkiVLtNZrJNO6dWvc3d1JSUnhwYMH1KtXj8uXLwPQrVs3bGxsSE9PR5IkatSoQUZGBra2tkiSxJ9//gmo5VerVi2ys7MZOnQokiQRGRlJZGQkxYsXZ8+ePRw4cIBx48ahUqkYOnQotWrV4tixY9jZ2QkhN2vWjGbNmrF161YtUdvZ2TF//nw6duzIlClTCAwMZOfOnTx8+JAFCxaI0JOa7EOgjsymEbWHhwcbN27Ey8tLiHr9+vU4OzujUqk4ePAgxsbGnD9/Hnt7eyFqTdIIUAeQ0TyAL1myhPHjxwPqyFl5M45pRK357np5eaGrqyvCTubF29ubc+fOYWZmhq+vL5GRkbi4uFCpUiXGjh2Lnp4eGzZsQKVSMX/+fBQKBaNGjRLjTTp27ChE7ebmhpOTEwEBAVhYWHD16lUePXpE1apVcXd3Jzc3l6ZNm5KSkkK3bt3o1asXMTExmJubc/XqVQDat2/PuVYNDwAAIABJREFUuHHjxGcaERFBUlIS8fHxuLi44OXlxYwZM0T2rAcPHtCwYUOUSiUeHh4YGBjIov6I+SxE/bZ91LNmzXonTd8FGfBEFvXL+ZxFra+vj729PQ4ODs+J+s6dO9StWxdJkkSYyStXrlCpUiWxjYeHhwgYUbVqVWrUqMGMGTPw8vKiWLFiQtRffvkltWvXZuHChbi5uYmaJ6hjqevr62NoaCia8f/66y+sra159OgREyZMEEJet24dFSpU4Ny5c7i4uGiJWpIkreQyv/32G3p6euzdu1dL1NOmTQP+L1YyqCVWrFgxrl27Rt++fTl8+DDOzs4iWxNAvXr1+P3338VDiGbRiFqTpUqzTJgwAVCLumLFiowdO5bixYtrZV0CdbQxSZJwdXV96WdVrVo1duzYAajjjy9atOi5bfbs2SMSYGgSXHTs2BFdXV0UCoVI+LBq1SqqVKlCZGSkSMqR90EI1Okl58+fL2Kpaxg/fjzdunUD/k/UGiZPnkyRIkV48OABPXr00BK1iYkJx44do1KlSrKoP2IKrag1TYDffPMNCoWCTp06UbZsWX7++ef8FAVQ9xHJon73fM6ibtKkieh3fZmoXV1dqVixIv7+/ty/f5+6devi5OQEqOOga+IsW1paMmnSJEqXLk1UVBTFixcXol63bh3Tp0/H1NSUkydPYmRkJJqCb968SZkyZUTOXVBn77KzsyM7O5sRI0bQpUsXQC2p6tWrc+fOHTFlDdSi9vPzo06dOuK17t27c/HiRU6cOEGjRo0IDw9n5syZFClSBFCLulatWjx+/Bg3Nzesra1JT0+nefPmHD58mPXr11O7dm2USiXx8fFUrVqV8+fP4+Xl9cIa9bZt27Rq1JrjzJgxQytpxLhx4yhRogTh4eHcunWLDh06CMnt2LHjuSxS8fHxVKhQAV9fXwA2btxIzZo18fb2ZtasWWzdupXo6Gg6duxIXFwc5cqV4+DBg4B2jdrT0xMnJydOnz6Nubk5Z8+eFaL+3//+R1hYGHXq1AHUojYzM+PatWuUKlVKPBh06tRJ9FX/W9SWlpbY29uLPuq8om7Xrh1KpVIW9UdOoRX1rl27KFmyJPHx8Tg7OzNmzBjatWvHr7/+mp+iAAU7PUsW9cv5HEV9+fJlzM3NRR91uXLlnhP1+fPnMTAw4O7du2zbto2vvvoKlUrFtWvXKFq0KDVr1mTMmDEihrGlpSXJycmEhISQnZ1N8eLFcXJyYvv27cTGxoo41cePH8fIyEjUnpVKJSNGjODu3bvi2AMGDMDOzg6lUsn48eORJOm5PmpNH3taWhrm5uZMnjyZiIgImjVrhkqlonv37lhYWFCxYkUkSWLZsmWi6btVq1Z89dVX6Ovrs337dq0+ah0dHfz8/MjMzGTlypXUqlWL2rVri0F1tra2QtTVq1cXfdSOjo706tULpVKJtbW1qDVbWVlRpEgRKlSowOnTp4mJicHV1ZX4+Hi2bdsmptSZm5tTr149MehOw5kzZyhZsiQbNmwA1ONehg0bhq6uLsuWLSM9PZ3Hjx9z8+ZNMjIy6NixI2ZmZoC2qM3NzWnfvj1Pnz5lzZo1WFhY0LRpU6ZOnUpOTg5lypTB3t6ehw8f0rx5c4yNjVGpVEyZMgVTU1MaNmyIhYUFCQkJoo86bw5tHR0dvLy82Lx5M8bGxlqinjdvHmFhYZiZmcmi/ogptKLOzs7mq6++QqFQ8Msvv1CzZs2PMuCJPD3r5ZibmxfImIL3yevUqPOGjFWpVM8lhtAkKHiXXLp0CV9fX9Gc+jpoapyaHMmgTq6hqaFrUnsqlUqSk5PJzc0VISIzMjJ4+vQp6enpZGVlcfbsWTFy/WUkJSVp5Yr+lEhNTdXKFpb3PNLS0rTugby5wv8dU+FFsauzsrK07g85DOenT6EVNaj7rnx9fcnIyODGjRts2rRJNE3lh4ISdUREhFyjfgWfY436Y0Ezovv333//IMd/9uyZVnYqGZnCTKEWtbm5OQsXLgTUT7QPHz6kbdu2+SkKoBa1pjkuP/j4+MiifgWyqGVkZAoDhVrUkiQxa9YsAMaOHYupqWmBNX0XxKC0kydPyqJ+BbKoZWRkCgOFWtTBwcEYGRlRtmxZMXXj0aNH+SkKIA8me1/IopaRkSkMFGpRb968mc2bN1OiRAmaNm3Kli1b8PPzy09RALWoCyI/dkREBM2bN39v+XI/NWRRy8jIFAYKtaglSUJXVxdJktDR0UFXV7fAmr41IRvzQ1xcHA0bNuTevXv53tfniCxqGRmZwkChFvW3335LREQEpqamtG/fnrCwMBEkIT8UVNN3XFyc3PT9CmRRvxsyMjJemFBERiYvcXFxL7xPNMFW5FH7BUehFvXo0aOZOXMmffr0QU9Pj1q1ahXIj2hBiVozv1sW9Yv5VEXdoEEDhg4d+tEuffr0oW/fvm/8vnHjxjF27FjGjx+Po6MjTk5OODk54eDgwOjRoxk7diyjR4/GwcGBUaNGffDz/JBL3uszdOhQRo4cybhx4xg9ejTDhw//z/ePGDHig59D48aN6dev33Ovm5ubM3ToUNq3b/9cmceNGyfOO+/y/fffi///8MMPWuscHBy0/s67z7z30cdwTQpiGT169HPXx9LSEoVCwfHjxz/o79cHa/ru2rUrz549Izg4mJo1axZY0/ebpPx7GfJgsldjbm7O+fPnP3Qx3ojU1FQePnz4Vsv169fF0qNHD6ZOnSr+vnHjBnFxca98f0REBI0bN9aKe/26x37y5AkJCQk8fPiQpKSk59avXLkSNzc3mjVrhrGxsdYydOhQrb9bt26Nm5vbW1+Hj2lJSUnh0aNHPH78mISEBNLS0oiPjyc5OZlnz56RnJwsgr+AOgDMw4cPWb16NW5ubmJ5+PAh9evXf+ExTp069Ulcr7S0NLKzs194n6hUKgICArhy5Yp4zdjYmM6dO+Pm5qZ1f/Tu3ZuHDx+ycOFCAgMDCQoKon79+ixcuDDfZVyzZs07O/+8323NvaBSqV66PcDTp09JSUnh2bNnIl1rWloaFSpUYNOmTVrbx8fHf/CWrg8i6unTp3Ps2DHxd3Z2NitWrMhPUQC1qP8d9vFtkEX9ajTZnQoLFhYWL8yhLkmSCEH5Iu7cucOyZcvo2LHjc++TkZGReV0+iKifPn1K5cqVKV++POXLlxdJA/KLra1tgTRRyKJ+NZ9i03d+WLly5UtFvXnz5ue2/+OPP/jmm28wNzcXgyZlUcvIyLwt713UcXFxFC1aFDMzM7p06ULbtm0pVqzYK1PavS62tra4ubnlez9+fn6yqF9BYRP1jRs3qFy58nOyrV69+gu337dvH926dePLL798qeBlZGRkXpf3Luo9e/ZgYGDA+vXrRVxhd3f3Auuj9vf3z/d+AFnUr6CwiRrA3d39OdkGBwe/cFuVSkVWVhYXL15k9+7dsqhlZGTyxXsXdWZmJkWLFsXX11cMyFm+fDlff/01169fZ+rUqezateutymNra8vevXvf6r15yc3NlUX9CgqjqAFMTEyEaDWDIV8HpVKJp6cnpUqVkkUtIyPzxnywUd9FihTB0NAQQ0ND9PT00NXVxdDQEEmScHFxeavy2NraFkhe6+zsbFnUr6Cwinrt2rXi3tXkQn5dlEolZ8+excXFBWNj43dUQhkZmc+RDyZqzdKzZ09atGih9dqPP/74VuWxtbXlhx9+eKv3/htZ1C+nsIr6zp071K1bFzMzMznXsIyMzHvjg4g6MTGRQ4cOvbCP79mzZ1y6dOmtymNra8uwYcPe6r3/Rhb1y/kURe3u7o6JiYnWUr58eWrVqvXc6y9bjI2N0dPTQ0dH57Xf866XH3/8kVWrVr3WMmTIkA9e3g+9TJo0iVWrVjF+/HhMTU0ZNGgQJiYmWFhYUK1aNUxMTGjUqBFmZmZ06NCBOnXqfPAy53f59ttvte6DxYsXY21t/cJ7xMbGRvx/woQJjB8/np9++glXV1f69etHixYtPvj5vKsl77nnXQqilTa/fBBRf/PNNxgbG4ua8x9//MG2bdvyUxRALeqC2A/Ion4Vn6KoXV1dadiwIUeOHOHUqVOfxBISEsKpU6cICgoSrwUHBxMSEkJoaCiBgYFMnz79g5ezoJfTp09z9uxZca5XrlwhIiKCgIAAIiMjCQoKIiwsjMjIyDdezp49+8HPLz9LcHAwZ86cISIigpCQEAICAggJCeHSpUsvPeewsLAPXu685f+v9aGhoVqvnTt37q0+6zddNN+3vMv8+fMxMDD40D9f71/U8fHxGBoasnr1asqUKQPAokWL+Prrr0lJSclPceQa9XviUxX1xx7rW0ZG5uPCz8+vcIr61q1bGBgYYG9vT9GiRRkxYgTlypWjRo0aL43w9LrIon4/yKKWkZEpDBRaUYM6hKiZmRk6OjooFArKlCnD6tWr81MUQB5M9r6QRS0jI1MYKNSiVqlUREZG8tNPP+Hj40NCQkJ+iiGwtbUtkHRkmZmZsqhfgSxqGRmZwkChFnXNmjWpWbMmT548Ea+VK1cOW1vb/BSnwNJcqlQqWdSvQBa1jIxMYaBQi/pFIRUrVarErVu38lMcuY/6PfG5itrPzw9fX1/u379PdnY2/v7+bN68mcDAwPdUys+Ds2fPUrVqVaKjoz90UV7Jrl272LJlC5s2beLOnTsfujgv5fTp00RHRxMXF8cff/zxoYtTqHB0dCy8ojY2NsbPz09rKahY37Ko3z2fq6gnTpxIxYoVuXz5Mnfv3sXc3JwBAwawfv3691TKz4OAgABKly7NmjVrPnRRXkhSUhKjRo1CX18fXV1dVq9erdW697Fha2tLlSpVaNKkCf379//QxSlUrF27tvCK2sTEhMjISC5dusSFCxe4cOGCLOpPiM9V1CtWrKBevXrExsZy7tw55s+fr7U+LS2NCxcucPnyZfHahQsXtGpjcXFxXLt2DaVSyZ07d8T9rVnyvi8kJITw8HBSU1MJDw/X2u7Ro0cAhIWFERQURExMDAD3798nJiYGlUrFjRs3tI4dHh4OQEJCApGRkWRlZZGZmSnu40ePHmmVITs7WxwvKSlJ61wfPHgg1iUmJr7wekVFRRESEsLNmzfFa5cvX2bnzp2ULVsWNzc3rXUJCQmEhYURFhYGQEpKCqGhody8eZOgoCAhy9zcXK5du0ZgYOBLv4NXr14Vc27zoplffu3aNUAdujUkJERrX5GRkdjZ2XHhwgWio6PJyckR779//z5hYWE8ePAAgOjoaK5cucKzZ8+4cOEC169fR6lUcvv2bS5cuEBOTg7R0dFcuHCB5ORkQB3BLjQ0lCtXroj9JiYmEhoaSnh4uNhX3kXzOd67d4+QkBAiIyPJyckhJSWFwMBAwsPDSU5OJjg4+LnPQ6VSERgYSGZmJklJSYSEhIh1YWFhhIaGasWlv3TpEqmpqeLv69evExUVBcDFixe1psnevHmTiIgIUlJSuHjxorhP0tLSuHXrlrhPsrOzSUpKEvducnIyFy5c4N69ewDiHtPccw8ePODZs2dcuXKFx48fi/eGhISQnZ1NZmYmV69eFcGvLl68yN27dwHENVAqlVy9epX79+/z7NkzwsPDuXr1KgCBgYHExsa+8N55Ewp10/eKFSs4cuQIe/fuZevWrYwaNUpu+v6E+JxF3ahRI7y8vGjbtq1WhLyAgACcnZ1Zv349JUuWZPHixWRlZdGhQwe++eYbsV3btm3p0KEDiYmJfP/997Rt25adO3dibW2NoaEhAPPmzWP06NE4OTlRunRpfv/9dwYMGMC4ceMwNDTE29ubZcuW4eDgwKRJk+jfvz8tW7YkPj6eadOm0b17d7KysvDy8qJ27dqA+sm/VKlSREREYGVlRf369YmJiSE8PJwePXqgUqlYu3YthoaGZGZmcuHCBYYMGYKNjQ0mJibs27dP61p4enpSt25dbGxsGDhwIPHx8Vrr//77b8qXL8+cOXNo06YNBw8exM/PDzMzM+bNm4eZmRm9evWiQ4cOHDlyhFu3bvHdd9/h5eVFxYoVcXNzY/ny5ejr61OtWjV0dXWxtrbm7t277Nmzh++//55evXpRo0YNIV0Nhw8fpl+/fmzcuJFGjRoxY8YMAEaNGoWLiwsDBw6kQYMGxMbGMmTIEKZPn46Pjw/Vq1cnKiqKlStX0rx5c3x8fPjuu+/w9fUFYPXq1cyaNYvu3bvTqFEjwsPDadeuHdWqVSM8PJzevXvz3XffkZKSwrBhwzA0NCQrK4sRI0ZgaGjInTt3+Oeff+jVqxfe3t6Ym5tz4MABAIYPH86SJUvo2rUr8+fPx9jYmG+++QZDQ0McHBzo06cPCQkJDBo0iPXr11O2bFk2btxIeHg4ZcuW5cqVK5w8eZJixYo9l7QoMzMTSZK4efMmHh4eFClSBICtW7dia2vLqFGj6NWrF+fPnycrK4sSJUrg4+MDqB8smzZtSrNmzcjKysLQ0BBnZ2fS09OJj4+nTZs2ODg4cPz4cUxMTFiwYAGgbo5fsGABgYGBGBoaEhcXx7lz56hQoQI+Pj4cPnwYQ0NDNm3aBIChoSH79+/n3r17GBoaMmvWLBYsWECpUqVYsWIFo0ePZtiwYfTv358hQ4aQkpJCx44d+frrrwHo27evyAGhUCjYunUrqamptGvXDnd3d5KSkmjSpAnTpk0D1N2rU6dOfeX3/XUo1KIGyMrKIi0tjbS0NJRKJcbGxvlu1pFF/X4wNzfn/PnzH7oYb8TrilqhUFC0aFEqV66MUqkU6xo2bEibNm2A/4sFkJCQwMaNG5EkiZUrV3L48GH09fVp0aIFT5484fDhwwwcOBCAqVOnIkkSV65c4auvvqJixYp88cUXGBsb4+XlhUqlYteuXUiSRG5uLgcPHkSSJEqXLk2FChUwNjZm//793L17lw4dOvDkyRORJATg+++/x8DAgJMnT/LLL7+I+zcqKopu3boB0Lt3b7H9oEGDKFu2LAcOHKBo0aLPXQs3NzdcXFxITU1FoVA8lz62R48enD17FoChQ4eSkpLCrFmzmDp1KpcvX6ZixYqsWbOGUaNG4eHhwZIlSyhSpAjVq1enZMmS1KlThyNHjqCnp4efn584ztatWylRogRffPEFtWrVwsjISGvKZW5uLl27dmXKlCmAWkYmJiZ4enoKQaWlpREfH8/BgwcxMTERcdk1s0LGjRvHt99+C6gfwMzMzFi6dCl169alTJkyVK5cGSMjI8aMGcO6deto0qQJubm5TJkyhTZt2pCcnMzevXuRJIm0tDT++OMPJElCqVRSq1YtNm7cCMDkyZPp1q0bs2fPZvDgwQD8888/rF27lnv37nHu3DlMTU3ZunUrCQkJODs7Y2hoSM2aNTE0NGTixIncvn2bOnXqkJWVhZubG5IkPSfqnJwc2rVrh6urK126dCEnJ4fExESaN29OZmYmWVlZNGrUiO+++47c3FwkSaJNmzakpaWxY8cOFAoFjRo1AsDDwwN9fX2ioqLw9/dHoVCwfPlyQB2Gd/DgweTm5jJjxgzCwsLIyMigU6dOxMTEEBISQqVKlfD29gbUsvzrr79o3rw5kiSxd+9ekpOTadOmDZMnT2br1q0olUqUSiUjRowgLS0NLy8vcY9u3rxZiNrT05OxY8cC0L9/f4YPH05sbCzFixcXcm7ZsiVr1qxh37596Ovry6LW8LaiDggIoEePHpiammJqasqECRMIDw/X+mF8GzRPjwWBLOqXY2hoiJ+f34cuxhvxuqK2tLQkNDSU5s2bs3TpUlQqFaAWdceOHQF4/PgxkiQRHx/P9u3bqVmzJhYWFgwfPpypU6e+UtQXLlygXLlyorkwb3IPjahB3awsSRJ+fn5a29y9e5evvvqKH3/8kZ49e4oa9d69ezE2NhbNuHlFXadOHZYuXcrgwYMpXrw4oG72/uabbyhatOgL0266ubnRokULJk+eTI0aNbh+/brW+h49eojakgaNqB8+fEjdunWFqL/99luWLFlCq1atyM3NJTc3l8zMTCFqTXPl4MGD2bp1K8WKFePYsWOAWrp5m6Y1ot69ezfwvKjz1r737NmDkZERt2/fBmDGjBkMGzaMcePG0b17d0DdNF6jRg08PT2pWbMm8+bN4+nTpzx9+pTs7GzWrVsnauKtWrV6TtQzZsygSZMmSJJEUFAQpUuXFqLesWMHnTp1wtPTk65du2o1N4NasBUrVmTr1q0AODs707lzZ548ecLTp09FE3udOnXo3bs3M2fOfGGNOicnh06dOtGgQQNatWpFUlIS9+/fp2zZsuLeWbNmDZUrVyYiIgKFQkHFihXx8/NjyJAhfPXVVwwdOhRQC7FDhw506dKF+fPnU6VKFezt7QHIyMigWrVqTJ48mbZt26JUKoWonZ2dGTNmDKamplqiHjJkiLiv84pakyo2JSWFtLQ0fv/9d+bOncuwYcP+U9TDhg2jcePG7N69m379+mmJuk+fPgQEBDB58mRZ1BreVtQlSpTQGvGto6ND586d81MUQC3qESNG5Hs/IIv6VXzOTd+aPuqbN2/StGlTEYhn9uzZtG3bFlCLumXLlqSmpjJ06FAOHDiAjo4OixYtwsPD45Wizs7OpmHDhrRs2ZLr16+zdu1azpw5A2iLGtQ/dFZWViQlJbF69WquX7/O3bt3+fbbb0lPT+f333/Hzs4O+D9Ra8grah0dHSIjIwkMDKR06dJim9KlSzN+/PgX/hC5ubkxZcoUlEolffr0eS71bI8ePUQIYH9/f9FsPHXqVCIjI7GwsBCinjNnDkeOHKFEiRIcPnwYgM6dOwtR//333wDUrVuXwMBAhg4dSvny5Xny5AlTpkzh1KlT4rgaUZctWxZQi7pChQokJCRQrFgxJk6cyN69exk+fDjx8fHo6uqyaNEiQF3z37FjB0FBQZiamop9fv3116xbtw5LS0uaNGkCwMaNGzl16hTr1q2jadOmKJVKpk2bpiVqKysrlEolu3fvFrXr6tWrC1EvWbJEiLp48eKEhoby6NEjVq5cCaj7WkuWLClEfebMGUxMTMjJyWHPnj14eHgIUXt4eHD27FkMDQ2fE3VWVhYmJiZcunQJhULBpEmTSExMpGXLlixevBhQi7ply5ZkZ2djZmbGzp07KV26ND4+PrRr106MEZozZw7Lly9HR0eHFStW0KNHD+bOnSuOtXTpUnR0dMQ5aER99+5d0tLSaNWqlZaohw8fTk5OznOidnJyonPnzoSEhHD//n0aNmxIbm4u8+fPfy1R9+zZk7S0NKysrLRE3bBhQ9H6oBH1P//8w7lz5567x1+HQivq/fv3Y2pqysOHD8VrN27coEyZMlqDIN4Guen7/WBgYMD//ve/D12MN8LV1RUPD4+Xrn/y5AnVq1fniy++IDQ0FJVKxezZs9HR0SEoKIiMjAxatmxJyZIlGTFihBgQNXfuXMLDw/Hx8eHIkSNs3ryZCRMmkJKSwuLFi8WP3Pr167G0tATgyJEjWFpaYmlpKfpHQf3DXrduXfG35ofI0tKSmTNnolQq8fHxoXfv3jx79oyJEyfy1VdfAWrJ165dG39/fypXrkz58uW5fPkyt27dwtLSEpVKxaFDh+jWrRvZ2dnMnj2bIUOGEBoaSo8ePZ7LZLdu3Tqsra0ZPHgwI0aMEIOCNBw6dIiuXbtSsmRJrKysePbsGWFhYfTs2ZP9+/djaGhIkyZN6NWrF6CuwY8cORJLS0usrKzYv3+/EPXMmTNxcXHhxx9/JCcnh8zMTCZNmoSlpSUODg7ExcVpHfvKlSv07duXfv36YW1tLQZKbdq0CUtLS7p3787+/fsBtaB69eqFtbU18+fPR6lU8vTpU8aNG0eZMmVYsGCBkI6/vz8WFhZUqFABKysrsrKysLe3Z8iQIdy5c4cNGzYwfPhw0tPTWbZsmfg8vb29sbS0FNLu0aMHgwcPZuDAgVy8eBGAnj17YmlpiZ2dnaj179u3j27dunHy5EkAkpOTcXFxEecQFRXF5cuX6datG0eOHOHy5cv06tWLn3/+Wet6ZGdnY2VlRVxcHAEBAeLhLTAwkF69euHp6Ym9vT1//fUX9+/fp1+/fqLP/cyZM0yePBkHBwcAunbtSmhoKMOGDWPHjh2MGTOGMWPGiGMFBwfTpEkTMjIyRJmrVq1KQkICd+7cYejQofj5+REeHo6lpaV4oLe0tCQgIIDHjx/To0cPfH19OXjwIH369OHPP/9k3Lhx2NjY0K9fP3r06ME///zDtGnTsLKyYuTIkdja2tK2bVvu37/PkiVL+Oeff8jIyMDNzQ1fX1/u3r3LmDFjmDlzJgB9+vTht99+A9RN9nnP4U0otKKOj49HT0+Pli1bMnDgQGxsbKhXr56clOMTwtzc/JObW+zq6sqsWbNeuj4pKYnTp08TGhpKbm4uoB6lfPz4cbKzswH1vevv7y9+pED9I6nZHtTNkFlZWahUKrKzs8W2OTk5Wu/LyMjQ+luzr3/P583KytLaTrN/UI/M1oxAj4uL4/r168THx3Py5EnWrVvHpUuXtMqgaarUyDAnJ0eU69/dTpryZWRkiOPlRdN8HRwcLK6P5n0XLlygQoUKrFq1Suu9muNrtteIeteuXc9di5eVS0NmZqbWvvIe/9+v/fsaAmKefEREhOjeAPVo8pCQEFHuO3fukJmZiUqlIisrSwyqy3tdNf/X3Aea65a3y0Jz7nmvR25u7nPnqHlNcw4qlUprPy+7Jpp77t/k5OTg7+/P48ePAfU9rCmr5rwyMzPFMV61DmDnzp1aNXrNCP2cnByxvaZ8/74mSqUSlUolrlvec8t7DTVdHZrPTalUkpOTw6xZs4iIiCA7O/u1ukk1x/b393/r0NLTpk0rnKIGdc2hWrVqVK1alapVq1K9enXS09PzUxRAFvX74nNt+v6cyMnJyfeYj7clKiqKNm3aiCbdl3H69Glq1Kh8spl0AAAgAElEQVTx3EA1mY+PU6dOUalSJcqVK6c17exT4MCBA1oPG2/CqFGjCq+oVSoV6enpJCcnk5yc/NzT7tsii/r9UKpUqbfu83mXrFix4qXrCpuoPyTZ2dkkJyc/V7P9N5mZmSQnJ2sNFpP5OLl58ybe3t5ERka+sOb+ufLzzz8XLlGvWbNGDB7Ly5UrV7T65fKDLOr3w8dao5YkiT59+mg1RWuQRS0jI/OmFLo+6jVr1lCzZs0XRotZs2aNGNGXH2xtbfnll1/yvR+QRf0qPkZRBwUFiQdBMzMzfHx8tCI4yaL+eHny5IkYdAXqZvt/DyCTkfkQFDpRd+/enWXLlr1wXVJSEl9++WW++z7k6Vnvh49R1KCd7EVXV5cqVaqI6UCyqAuOOnXqcPLkSfz8/OjSpYuYp/y22NvbU6ZMGTFOxd3dnUqVKuV7vzIy+aXQibphw4Yi/Ny/iY+Pl6dnfUJIkkSJEiUYO3YslpaWlC1b9j8XU1PT19qubNmyGBkZoVAoXrmNpuas+dvExOSFWdkkScLU1BRDQ0NZ1AVEly5d6Ny5M+3atWPixIn53t8vv/wiAm4AjBkzRgSUkZH5kBQ6Uf/444/UqVPnhenkHB0dqVatGgkJCfkpjizq94SRkRHz589nz549H82ydevWl4q6UaNGSJL0n6I+fvw4dnZ22NnZ4ebmJl739vamf//+/PDDD9y/fx8HBwdGjBhBcnIyDx48wNHRkUOHDrFhwwZsbGwICwvD0dERR0dH7t+/j7W1NZ6eniiVSgICAujfvz99+/YVgU7+/PNPMYd0w4YNxMbGYm1trbXs3LmTCRMmiL8HDRokyufg4CCWn376iYyMDOLi4nBzc8PBwYFVq1aJbT09PRk2bBhhYWFkZmayZMkS9uzZI9Zv2bJFzKmNiYlhzJgx9OvXT3zPr1y5wg8//MC5c+dIT0/HwcHhlQ/Yvr6+WuV70bS+devWiekzoaGhFClSRIg6NjaWMWPGcOjQIYKDg7G2tmbDhg1MnjxZ6/oMGDCArKwsli1bhrW1tbi+vr6+4npZW1uzdu1aQB0oZfDgwVy+fBlXV1ccHBy4ePEiGRkZzJs3D2tra7y8vHj69KlW+R0cHNi5c+cLz3XkyJHY2Ngwb948QkJCGD16NLa2tlhbW+Pm5kZiYiJJSUnMnTtXlEmTiGT27NnY2NjQv39/rK2txT4HDhyItbU1AwcO/OjThn6OFDpR+/r6UqxYMczNzalRowZ9+vShYsWKmJubI0kSnTp1yk9RAFnU74tPoem7SJEilC5dmt69e5Odnf2fTd/Z2dlUqlSJtWvXkpCQgJGREUuWLCE1NZVWrVoRFxfHsGHDGDRoELdv30ZfX5+bN29y5coVatasSWpqKvv370dXV5eTJ0+ycuVKkZN54sSJzJkzB5VKhZOTE6Ghodjb21OsWDGePXtGp06duHbtGg4ODpiYmLB69WqCgoJwcXHBycmJlStXsmPHDvr06UOFChXYs2cPRYoUEYEyNE38kiQxadIkcnNzKV68OFu3bmX48OEiOtWyZcuwtbVl9erVSJJESkqKiJh26NAhQB3Gs0uXLmRnZ/Pdd99x5coV/vzzTwwMDPjll184fPgwurq6HD16lKVLl6Knp6cl+n+j+aFLTk6mUqVKIuZ1XjSivnPnDrNmzdIK0ZqdnU3r1q359ddfAdDV1WXv3r20bNmSmJgYatSowfLly5k7dy6LFy/GxsaG2NhYEaMhNjYWfX19rl27xvr16ylRogTp6em4uLigo6MDwMqVK6lSpQqRkZHMmjWLcePGiTEPx48fZ9WqVfTr108kltBcTw2ZmZmYmJgwceJENm7cSN26dbl48SKSJGFsbCzm4h4/fpyzZ8/Sq1cv7t69S7NmzUTEtzVr1jBv3jxcXFzEgNuWLVuybNkyfHx80NHRYeHCha/zNZApQAqdqAE2bNggxJx3qVu37lvPc8uLLOr3w8cu6latWvHzzz+LVIXw333UgYGBlCxZUoyTcHR0pHv37ixcuFDEj79x4wYXL14UEau6dOnCiRMncHR0BNRR9xQKBcBzotaEsSxTpgzu7u789NNPeHh4cPjwYdq1a0dqairZ2dlayU48PT1xcnIC1MEf+vTpg7m5OW3bthXhSEEt4Pj4eCRJYvr06QDUr1+fMWPG0Lp1axF5q1atWkyYMIHZs2fj6upKYGAgnp6e6OjoMGfOHIKDgxkyZAi9e/cmPT0dSZK4ffs2ubm5dO7cmTp16hAVFYWenh7+/v7Y2dlRqVKlV44t8fPzQ6FQMHv2bEqWLMnvv//+3Dbr1q2jRYsWLFiwgPDwcC1RA7Rv3x4bGxsWL16Mrq4uhw8fJjMzU4hacy/OmzePxo0bM3/+fObPn8/u3btJTU3Fzs6OlJQUHjx4QL169Vi3bh1//vknOjo6REdH4+3tLUTdrFkzunTpwrx583B1deWPP/4A1GErNSFaMzMz8fPzw93dnVWrVrFp0yZ0dHREpqygoCCUSiVNmzZl1qxZqFQqpk2bhqOjI05OTvTt25e5c+cyffp0ETPf19eXlStX4uLiQqdOnbh37x4WFhZ4enqK8/nnn39eep1l3g2FUtS5ubmsW7dOS9IrV67Md0QyDbKo3w8fq6hNTEzYvXs3GRkZz831/C9Rnz17Viv+s7u7O126dMHT05NWrVqJ/NAa/vrrL4oXL07FihVFAonXEXXDhg25f/8+oI4ncP36dSHqf5NX1KAOi+jq6kp4eDiGhoYiUIjmO5hX1CEhIVSoUEErLnPjxo15+PChSIwBcPToUa5fv06zZs1o3LgxwcHBz4ka1CEgq1WrBqjTDI4cOZL09PTXErWenh4+Pj6UL19eJHjIy7p169DR0RHN0i8StaenJ9euXROiBoSoN2/eDKhF3aJFC60utKdPn9KxY0dSU1O5ceMGNWrUwNvbW8Rnv379OjNnzhSiliSJ+fPni2ukuY/yihrUTdKSJFG9enUR61sjag2TJ0/Gy8sLUIv4+++/Z8yYMSIDVW5urkhs4uvrS1ZWFi4uLjg7OxMSEkKZMmXYu3fvS6+tzLunUIr6XSOL+v1QtGjRl/bTfaz8l6ijoqIoU6YM06ZNIzU1FWtra3x8fNi3bx8KhYLFixfz66+/igQS2dnZtGrVitatWwuJr1u3Dj09PcLCwpgwYYIQdc+ePZkyZQq5ublUqFCBbt26sXLlStq3b09KSgply5bFxsZG1LI1DBgwgEGDBpGVlUVqaiodO3bE1taWEydOUKxYMSZMmMChQ4dE8oFu3boJUU+ePJlp06Yxfvx4Iervv/+eHj16sHv3bqZMmcLBgwfZuHEjqampVKxYES8vL0JCQkR3Qfv27Vm1ahWpqam0adOGnTt3cvz4cXR1dUX2Kj09PfH/F+Hn54e+vj7x8fFYWFjwzTffaLV0gDrrVt74CufOnUOSJM6cOcPTp09p3Lgxv/76K3Fxcejo6Ai5aUQ9fvx48d4KFSrQvXt3PD09mTJlCikpKZQuXZoNGzZw7tw5SpcuzbNnz9iwYQM6Ojo8fPiQGzduCFH/+uuvNGzYkC1btjBz5kzxEPJvUeclKyuLWrVq8d1337F79262bdvGw4cPmTx5MhMmTECpVNKlSxfOnTsnBLx582ZGjRrF+vXruX//Po0bNwbAxcVF5Hfu168fDRs2ZNOmTYwcOfKTiwj2OSCL+h0gi/r98KnG+n6VqHNzczlz5gyWlpY0aNCAQ4cOkZycDMCkSZPQ09Nj4sSJojYMsGDBApGrF9RdO5IkMXr0aJydnTEwMGDs2LHo6elhamqKr68vFy9epGrVqowdO5ZLly6Rm5vLxo0bKVq0KC1atBApH0GdtOH06dMid/vRo0fZt28fJ06c4NixYxw8eJAqVaowY8YMQC3N6dOns3XrVqpUqcLVq1f54osvRAavO3fuUKlSJfT19fH09CQ9PZ3u3bvz9OlTzp8/T0JCAqdPn6ZLly6oVCqCg4MpW7YsDRo0YMWKFSiVSv788090dXWJi4sT2b62b9/+0uu6fft29PX1iYyM5MCBA4SFhT3X2jFjxgwtUQcFBVGnTh0uXLhAcnIyTZs25ebNm8THx7Nnzx4R3zwtLY2OHTuKFg1QD0arWrUqTk5OxMXFkZGRQYcOHfD19SUyMlK0QowfPx4dHR0OHz5Mx44dhagfPXpEw4YN0dPTw9bWlqysLJRKJfb29hQtWvSlLUmXL1+mSZMmGBgYsGTJEkD9sGRqasqqVav4+++/RW7on376CYVCwYIFC8jIyKBhw4YoFAqaNWsmZjRMnz6d+Ph4OnbsiCRJnD59+oWBfGTeLbKo3wGyqN8PH2vT96soyHnUsbGxok9bk7npvzh58qRImfkhSUtLy/fsik+Jp0+fUrduXZ4+ffpG7yuI7rhBgwbRqVOn/wyR7OzsrBVGNSUl5aVTWWXeLw8ePJBFXdDIon4/FHZRa0ZK/3v076tQKpUvzEIl826Jj4+nW7duYhrU+0Qzm6WgchnIvH/kGvU7QBb1+0GSJJEc/lNBjkwm875JTEyUJf2JI4v6HSCL+v1QvHjxV86d/RhxdXVlzJgxcqYmGRmZ10YW9TtAFvX7oUiRImJKzKeCq6srkydPlgfkyMjIvDaaOACnTp36oOWQRf0SZFG/HGNjYxHJ6lNBbvqWkZF5UzRxAI4cOfJByyGL+iXIon45pqamnDhx4kMX442QRS0jI/OmyKJ+BxSkqDXNu5GRke99uX79Ojdu3CiQJTo6mpiYGPH/giifqakpx48fL5Dr/L5wdXXF2dn5ja/ftWvXxPLv6/qia6PZ9l3fI/8uz8e+aO7Bf19bzb8xMTHiml67dk38v6Du2YL+bsXHxxfo9bl+/brWZxoTE0NUVJRW2aOjo194b73sfouOjs5XmWJjY4mNjf1g94tm0VyHvOuuXbtGVFSUuG6RkZHExMQU+Hdq7dq1n4eoXV1dC6os+aYgRd23b1/69OmDu7s79vb2uLu7vzQ7kyRJuLu74+7uTvv27UXQgryxzDX/t7S0RFdXl1GjRjFp0iQaNmyIJEm0b9+eSpUqIf0/9s47qorj/cNLkaYgUlSwoqhgAVGxa2yxK6CiKGLXYInRrxWDUaPYxZbYe+8dS2JBURSxYAMFBURAkCadS3t+f3Du/rwCNm6MSfY5Zw7c2d3ZmXdn97Mzu/u+gkDjxo3R19dXSipVqhRlypRBX18fDQ2ND7bhU9M/cer72LFjqKurU7Zs2c+yn5aWlpjkeWXLlkVdXb1I22hpaaGtra0UO38oaWpqKq2PfI1UpkwZBduXLVsWLS0t8a+enp7YP7W0tET7yiNpfWqqWLEiurq62NjYYG9vz6xZs3BxceH7779n9uzZ1KtXTyntsba2Vqp9dHR00NbWVrCXioqKQtvU1dXR0tIqsi8UZYsv6e/vpsqVK1OlSpW/pb/o6uqiq6uLnp4eampqCIIgLtPT00NLSwtVVVVKly4t2qRMmTLMnj2bAQMGFHltnjZtGiNGjBB/y6/Xrq6uosvg9+tRunTpf4dQ/1tH1H8nKSkpxMTEEB4eTmpqKvn5+Tx79ow3b94QGRkJFHjSioiIKOTlSeK/QUJCAs+ePfvsFBsbS3x8PGFhYcTHx4sOW4ryNf5vJT4+/j/x2VR6ejrx8fFkZWWRk5NDTk4O8fHx5ObmEh8f/3dXT+IzkIRaQkJCQkLiG6bEQi0PAfgtIAm1hISEhMS/jRIL9YgRI5RVlxIjCbWEhISExL8NaepbQkJCQkLiG0YSagkJCQkJiW+YEgn1unXrJKGWkJCQkJD4CymRUP/888//WqF2c3OjcePGn5yqV6+OtbU15ubmRS6vVasWNWvWLJRvZWVFgwYNFPLkHDlyhKtXr9K8efNC9YuKimL8+PHk5ubi7OxMfHw88+bNUyhn1apVvHjxgujoaAA8PDxo2rSpQjnnzp1j+fLlRdZ56tSpxbb30KFDJbbxmTNnPsvGn5ImTJhQrD9vf39/8bOckydPMnDgwC+u+507d2jdurX4OyQk5KN1+/3335XWzvT09C+u++fyKd/Mb9iwgQ0bNtCyZUtmzZoFFPRfgKZNmzJ+/HgaN27My5cvefnyJSkpKQwfPpx169aJZSi7LxSV/P39P9iOtLQ07t+/Xyj/ypUrxW5z/fp1ADGGdFRUFKGhoXTp0kVcZ+rUqfz6669Fbh8eHs6GDRvE35s2beLatWtAgWesGTNmfFFbd+/e/cG2AsyYMeOj63yIdu3aFZnv4+Oj8DsyMpKwsDD27NlTaN1jx45x5coVGjduzMiRIxVsER4eLrbHxcWFTp06ib/btGnDqFGjim2/mZkZVatWLXKZhYWFeF2W523atAko6MuvX78W61DU9fdrUyKhvn//PvPnz1dWXUqMMoVaEAS+//57hgwZ8sHUv39/XFxcPrre5yQ7O7tvOpmZmSklosyuXbvQ0NCgbdu22NnZ4ezszODBg+nTpw99+/YV7TFgwACcnZ2xt7fHycmJfv36FbJZ3759cXFxoV27dvTu3VusqyAINGnSBDs7O1q1aoWFhQWmpqa0bt2arl270q5dO+zs7KhXrx6CIGBhYUHp0qVp0KDBX2K7Pn36YG9vj6OjY4nKKc7hyuckdXV1DA0N6d69O+3bt8fCwgILCwvRJn9Fu9/P79+//2eX1bdvX4Xf9vb2DBo0SKF8uX1dXFzEvjFw4ED69u1L165d+e6777Czs6Nt27ZYWFiI2/Xo0YPWrVv/7efYp7Tbzs4OJycnBRs6OTkpXJvk+dbW1nTu3Fk8xhYWFvTs2RNbW1ul1rFfv35iXYcMGcLAgQNxcHBg8ODBODg4iOu5uLjg5OQkHqt+/foxYMAAhgwZgoODAw4ODvTv31/hHO/Tpw+DBw9myJAhha4B8mtHSa67cnvJ9+3s7EyzZs3++Q5Prl27hoODg7LqUmKUKdTVq1cnMDDwo+vl5OQo3elIRkbGN52OHTuGIJSo6wAFQm1oaMi1a9fIyMggLy+P/Px8ZDIZMplMXC8nJ4e8vDwyMzPJzc0lOzu7UFkymYz8/HwSExPJyMggMzOTzMxM/Pz8eP36NZmZmcTFxREeHs7Tp0+Jj48nJSVFjBkcERGBn58f4eHhBAQE8OrVK7EMZaasrCwyMzPJzs4uUTl37tzBz8+vRMnf35/Hjx+TlpZGYmIi4eHhhIeHizb5K9r9fsrJyfnssmQyWaE8ef+QJ7l95f0JIDc3F5lMRmpqKgkJCWRmZpKQkEB4eLi4XVpamugQ5VtLRbU7NzdXwYa5ubniOfFuH4uMjCQ5OVk8xuHh4aSnpxMTE6PUOsr3Kbd5Xl4eWVlZ5OfnK/QB+fGQbyOTycQQtPL+8n5IWnk58vP9XeTXjpIgt6N833l5eYSFhf3zhXratGksWLBAWXUpMVJQjq/DkydPlCrUfn5+SqiVhISEhHK5cuXKP1+oXV1d6dOnj7LqUmIkof46SEItISHxX+D27dv/fKG+f/8+vXv3VlZdSowk1F8HSaglJCT+C6SmpkpCrWwkof46SEItISHxX0ESaiUjCfXX4e8Q6hcvXtC/f3/69u1LSEgIXbt2LfH+JSQkJD7GP16oz5w5858W6qysLMaMGYOZmRndu3dHX18fExOTIr/D/LuJi4ujQ4cOnD17lrCwMBo1avTFZX1NoX7z5g0TJkygYcOGeHt7c+PGDRo3boyOjk6J9y/xeYwePZqDBw9y9uxZnJycSE5O/rurJCHxl/OPF+oJEyZ8U0K9bNmyryrUa9asQU1NDX9/f2QyGc2bN/9mhVomk3Hu3Dm0tLTYsGEDW7du/eKyvqZQr1ixAlVVVYKDg8XPL16/fi0J9d/AoUOHOHXqFLt37+bJkydSLHSJ/wQqKip4enr+rXUo0dV25syZ35RQf+0RtYeHB4IgEB4eDkCLFi2wtrYmKyuL169fM2rUKJo1a8b27dvFbyD37t2r4DlrxYoV4t3aypUrmTVrFmlpabx69YqnT5+SnJxMYmIiQUFBBAUF8fTpU9LS0sjOzubZs2diXnBwsFjmmzdvxPXDwsLIyckhKyuLoKAg4uLiyMjIIDg4mIiIiC+yzdcS6tTUVNq2bVvsvjZu3Ii6ujrly5fH2NgYKysrkpKSSEpKYvLkydStW5f+/fsjk8lYt24d9evXx9zcHF1dXe7cuUNWVhbTp0+nUaNGdOjQgXv37mFlZYWRkREVK1akdevWrFy5ksmTJ2Nubk7btm3ZuHEjb9++5cqVK7Rq1YqGDRsybty4QnXbuXMnVlZWmJmZYW5uzqZNm0hKSmLkyJHUqlWLunXr8uDBA7Zu3Ur9+vWJi4tj5MiR1KxZE5lMhpubGy1atMDQ0JDbt29z+/Zt6tWrx7Zt20hPT2f+/PmcP3+egwcP0qpVKwIDAwkNDcXJyYnU1FRev37NhAkTaNSokej9KyoqChcXF2xsbNi+fTtxcXHUr1+fZcuW8eDBA5o3b05SUhIxMTEsX76c9u3bM23aNFJTU/npp5+oU6cO+/fvZ//+/Zibm/Ps2TOxvWlpaXTp0gUDAwNq1KiBnp4eL1++BMDd3R1bW1vMzc3Zu3cvV65cwcjIiJYtW9KsWTNMTEwIDAxk8uTJVK1alUaNGlGuXDmmTp2KTCZj48aNNG7cGBMTE+bMmcO6deto0qQJVapUwcTEhLy8PE6dOoWlpSUmJiaMHj2a4OBgbG1t0dfXB6BevXpYWlryyy+/YGtrS7169bC1taVfv37ExcUxbtw46tati5WVlegVzNramsWLF/PkyROqV6/O+vXr8ff3p2HDhpw5c4bjx49jbGzMrl272L17N/Xq1SM0NJSbN29ibm7O4cOHRfsEBQVRvXp1XFxcSE1NxdzcnCVLltCrVy/q16/Py5cvefv2Lf369WPPnj0cP36c5s2b06JFCwRBYPPmzaxatQo1NTXR41tiYiLdunWjTp06CIJAzZo1MTAwwMDAAH19fXx9fQGws7MjLi6OsWPHsnHjRszNzXFwcCAqKoo///wTXV1d9u7dy+XLlzE3N2f+/Pns3LkTU1NTTp06BRQ85rS0tKRfv37s3bsXGxsbxo0bx8uXL3FyciIjI+PTT/x/GKqqqkV6VPualOhqu3Xr1m9KqOfOnftVhTo1NZXhw4fz3Xff4eHhQdWqValTpw4xMTHMnTuXs2fP4uHhQc2aNXn69CmPHz9GEASFD/k3bNiApaUl+fn5bNy4EV1dXe7evUuTJk1wd3fn3r17fPfdd4waNYq1a9diZWXFggULSE5Opl27drRu3Zpp06ZhZGTEzZs3CQoKonXr1qxYsYLFixdjbGxMQEAADx8+RBAEbt++zd27dzEyMmLKlClfZJtvRai9vb3R09Pj559/5u7du6ioqDB58mTat2+Pg4MD1apVo2zZsly+fJnXr1+zZcsWEhISEAQBHx8ftm/fzuTJk3nz5g3du3enTZs27NmzBzc3N6pVq8bjx4+5dOkSx44do3Tp0ty8eRNTU1PWrFnD3Llz2bNnDwcOHChydL9mzRo6depEQEAAgiCwZMkSVqxYgbW1NdOmTUMQBKZOnUpSUhKVK1fmzJkzNG3aFC8vL4KCgujWrRsABw4c4PTp07x48QILCws8PT25ePEiGhoaHDx4kM2bN1OpUiUCAgI4dOgQrVu3Jjk5mebNm+Pk5ESrVq2oVq0a+fn5tG3bloCAALZv307Pnj1JSUmhZcuWzJw5k6VLlzJ37lxu3bqFvb097u7uREREUKFCBdzc3Hj69CnlypXDx8eHc+fOUbVqVcLCwsT2pqen07FjR1q0aMHJkydxcHCgWbNmHD16FDU1NaZMmULZsmVp1aoVb968QRAEli9fTkZGBoIgcP/+fdauXYsgCHh7ezNnzhxKlSrF/v37qVGjBu7u7jRq1AhVVVVWrFhBTEwM58+fRxAEkpOT+e6772jSpAkdO3ZEEAR2797N4MGDRaFevnw5lpaWeHh44O3tjb29PTNmzGDXrl2Eh4dTvXp17t27hyAILFy4EIAePXpw7do1IiMjsba2ZuHChfj4+KCnp8eDBw/E47hmzRoyMjKwsbEhNjaWRYsWIQiC6NgDCpx7NGvWjOHDh/Prr7+yaNEibty4wa1bt9DX1+fmzZu8evWKkSNHkpeXx507d5g7dy7e3t4IgsC1a9f4448/0NbWFoU6Ly+PJ0+ekJ2djaWlJaGhoVy5coWzZ88qCHX37t1JTU3F2tqahg0b4unpSa1atfj+++958OABVapUYd26dYSFhaGqqsqpU6fw9fVFXV2ds2fPim3Q0dHBxcWFvLw8li1bRs2aNfnuu+9Yv379v3p2RRCEL75WKq0OJdn4W3uZ7MiRI1/9ZbLLly+jpaVFz549sba2VvDVDdCoUSM6d+6MTCYjJCQEQRBYu3atuNzb2xtHR0eg4ON6bW1tjh07xvnz54ECX7/vPiNxdnZGX1+f3Nxcxo4di7u7O3fv3qVixYps27aNgQMHYmhoKJYvCAKTJk0ShRoKRu7yi9mX8K0I9fXr1ylbtiz79u0DCmzTtWtXVFVVefToEY8ePeLp06dkZWWRlpaGt7c3gCjUxUV/27t3L2ZmZuJvuX1r1Kgh1uX27dvY2tqK7jiLQu7rWS7UHh4erFmzRqxXZmYmSUlJYhkHDx4EYPbs2fTo0aNQefb29ixbtoyJEyciCALHjx9XEGo3NzdRqM3MzDh37pxoBwBbW1vevHlTpH0HDx4MQHR0NDY2Nnh4eABQrVo1evXqBYCBgQHLly9n/PjxaGtrF/LcN2fOHKZPnw7Atm3bqFixIo0aNUJDQ0Osh3z26V0h0dXV5f79+/j4+NC3b1+gYIRuZGSEo6Mj9vb2BAUFERsbS2xsrLg/QRAYOHAgCQkJ2NjYFPJ/PnjwYARBwNjYGHV1dSwtLRCaNTIAACAASURBVMWbi3HjxjF37lxx3Zs3b6Knp6cg1Pb29vj5+REbG0uzZs0UhPrWrVtMmjQJfX19hX715MkTxo0bR40aNQodP/noWE9PTyF/4MCB6OvrM3HiRFauXAlQSKiXLVsmXh+0tLSoU6eO2F+ysrLQ0dERZzDkbV++fDnz588XR4MjRowQz5W5c+ciCAKPHz+mWrVqmJqaUr9+fVRVVcVrjyAIVKtWTSxTR0eHEydOAPDq1SusrKzEG6F/M5JQK5mvLdTZ2dm4urpSr149AgICaNeunYJQv3jxggkTJlClShUePXokCvW4ceNo164d8+fPL1Koq1SpIjqIP3LkiIJQe3l5icIwZcoUbG1tcXZ2RktLixcvXhQSakdHR4YNG8aLFy8wMTFh7dq1HDhwgBo1anzzQg2wdu1a1NTUWL16tZj36tUrfHx8Cgm1k5OTuP6OHTuAguAAISEhXL9+nfXr1wOKQt2yZUug4GW7hw8fAvDLL78oCPX58+fR09MjKCiIVq1a4eHhwejRo9m0aZN4oSuKooS6VatWxMXFERsbS2BgIElJSZiamjJkyBAaNGhAREQE/v7+1KtXj4cPHxIfH4+/vz+pqal06NCBDh06IJPJ0NXV5fjx40DBuyITJkzAxcVFFOoKFSqI70pERUUBBaJ78eJFAF6+fElWVhZOTk6MHj2a1q1b8+zZM5KSkujQoYMYhKJatWpMmDABAA0NDaZMmUJ+fj716tUTy5XzvlA3aNCAWbNmoaGhIQaGkYvau0ItH1H7+PiIQWN8fX0pU6YMHh4e6OrqcuzYMbFcuQvZp0+fUrNmTdLT07GzsxOP74kTJ7h165bCiHrevHnFCvW2bdto2rQpkZGRRQr127dv6dixo4JQT5kyhdzcXEqXLi1ODwuCwIoVKwgLC8PS0rJQf2jRogXu7u60bt2aMWPGiPk+Pj6ULVuWihUrEhISAhQWaoCYmBj09fU5cOAALVq0oGHDhkCBUAuCQGhoqFjmo0eP0NTURFdXVxzZvy/UNjY2Yv9dtGgR0dHRCkKtpqbG7t27sbGx4X//+x9aWlqiUF++fJlJkyZhbW3N8uXLC7n7/DchCbWS+dpCvX79enR0dMRnda1atcLMzExhu9zcXFRUVLhw4YIo1Dk5OQwfPhw1NTUFoZa/nHb27FnMzc05e/YsJ06cQEVFhcWLFwMFQi0f4UyZMgV3d3cyMjKoV68evXv3ZuDAgZQpU0YUHUdHR3bv3k1UVBT16tVj4sSJ5OXlYW5u/o8Q6tTUVEaMGEG5cuVo2rQp3bp1Y/DgwQQFBYlCXatWLdq1a8fEiROJj49n8ODBGBgY0KxZMzp06EBcXByWlpY0b96cXr16iUJ95coVVFVVsbCwoHr16uLIs3v37hgaGopCN3r0aARBoFu3bhgZGbFo0SJ+/PFHbG1tadmyJaVKlcLFxUWs886dO7GwsGDRokXihXbJkiXEx8fTokULzMzMaNKkCT4+PmzevBkdHR2ioqKws7Nj3rx5pKen4+DgQIUKFTAzM8Pf35/Q0FAsLS1ZtmwZgIJQy1myZIko1N27d6devXp06dJFHC1/9913GBoaYmFhwZgxY0hPT6dr164sW7aMJUuW0KBBA/Lz81m/fj2mpqbs27cPIyMjIiIiuHz5MgYGBvj6+rJ//340NTV58uSJwv7nzJmDoaEhN27coEePHgQEBBAVFYWKigrVqlUTp+7lbhl///13QFGoVVVV2bdvHy4uLnh5eZGRkcHs2bPR0dHBwsKCoUOHEhgYyMCBA2nTpg0aGhoA7NmzB01NTSwsLOjTpw+5ubkKQi1/Rh0WFsbbt2/5/vvvqVOnDlBwM6ivr0/Lli3FUWR6ejoVK1Zk/vz5BAYGUr58eQWh3rt3L5cuXRKnvvft2yeOqG/duqVwcwEQFhZGrVq16NChgxiMRt5+mUxG+/btmTRpEnl5eaxbt47q1atz9uxZsf9s3bqVq1evoqOjQ4MGDdDT02PmzJnA/wv1qlWrxP3Fx8djY2PD2LFjxbwRI0YwbNgwsrKy6Nu3L76+vqJQr1u3jtu3b6OiooKHhwe7d+9GRUWFadOmUaNGDaZNm4aWlhY//vgjAK1btyYgIIBp06ZRunRphYhX/zb+8UJ97dq1f61Q6+npcfPmzSKXvXnzhilTptCsWTMmTpyITCbj5cuXODg40LJlSy5cuMC2bdto0aIFBgYG9OnTh/DwcHbs2EGzZs1wcnKidevWzJ8/n/nz59OsWTOysrKYPHky6urqnDx5kj59+tCsWTNSUlLo0KEDVatW5cCBA7i6unLz5k2Sk5Np3749+vr6zJ07Vww9mZaWRuvWrenVqxeLFy/G0dGRyMhIgoODMTAwYOvWrYSEhNCwYUMGDhxYbEjID/E5Qt20aVNsbW3FUIDvkpqa+snfUctkMiIiInj58qXokF8u1KtWrVKY0gXYvn07HTt2JDU1lWHDhtGjRw9CQ0MJDQ1l3759TJo0idzcXLy8vOjSpQtRUVHk5eWRnZ3Nq1evCA8PJysrCygYyci3lU+9JiUlERoayqtXr4iIiCAlJUXc99u3b8XRTVpaGqGhobx9+xaAlJQUQkNDxdFoYmIioaGh5ObmkpaWJrYjPT2d0NBQ4uPjxXJjYmJITk4mIyODHj16FGpzYmIi0dHR5OXlkZ6ezoQJE7CzsyMgIACA5ORkBg8ezLhx40hLSyMvL4/o6GhCQ0NF+8rbERISwpkzZ0hISBCPlbwd8ra/Hxhhzpw5mJiYiLaSk5+fr5D3blmAWJaPj484MoyOjlZ47hkaGkpMTIz4OyIigtDQUIXp7rCwMCIjIxUCU7x7TNLS0oCCm2d5KEo5q1atwtfXl4SEBF6/fq1Q59DQUNzd3TEzM+PSpUuEh4eTlpYmtiM5OVm0iTwoxbvtg//vv5GRkWJ75LZNSEige/fuCp+7RUVFiUEr5GVlZmYSFhZGaGgocXFxhewrH9U+ffoUf39/pkyZonCMRowYQfny5enatStXrlwhPz+f7Oxs8bi/2+eSk5PFtstfOpXbNykpiYiICGQymdh/5W35N/KPF+pvcURd1JTTl1C7dm1xGup98vLySE1NJTk5WbyY5+bmkpKSQnJysjg1FxgYyLFjx8SLSV5eHsnJyeLFFgoiZSUnJ5Ofn09aWhqnT58mKiqK8PBwzp49S1JSEvn5+Vy9epVjx44REhIiCoo879ixY+IFAAou8leuXOHu3bvifjIzM7l48SJZWVnk5uby5MkTsazP5XOFWhAEtLW1cXBwUHgTNi0trUSeyXbv3o2mpiZTp0794Hp+fn4KFyx5VBwJ5SGTyXB2dqZBgwZfXIZcqL9VAgICCt0clZQxY8bQqlWrEsVGf59+/fphYGCAu7u7wvk9YsQI8R0AiU9HEmol83e8TPZfRC7U8hFKceTk5NC4ceNCcZANDAzYs2cP0dHRJRLq+Ph4goKCJMcb3wB5eXn8+uuvJXIHm5GRQVBQkBJr9e2TmJjI5s2biwzd+qVEREQQFBRUaJRbqVIlhWfjEp+GJNRKRhLqr4NcqLt06YKbm1uxacyYMZQtW7aQUAuCgJqaGjo6OpKvbwkJiW8aSaiVjDKFWlVVlUuXLimlrH8bcqH29fX9aKpbt26RQi1PklBLSEh8y0hCrWSUKdSlSpUSP1GRUORLnlELgoCqqipt2rRhw4YN4nN7SaglJCS+ZSShVjLKFGpBEPjzzz+VUta/jS8V6gsXLhAfH6/wNq8k1BISEt8yklArmSNHjlCuXDmllCUJdfF8jlCfOHGi2EhLx48f/6hQb9q0idq1a3PhwgWePHlCjx49SE9PJyYmhjVr1tC2bVtWr15NcnIy69ato2/fvuTl5REYGIifnx+RkZE8fPiQe/fukZeXx927d3n06BEymYzIyEg2btzIrFmzxLfm/fz8RMcffn5++Pn5ERwcLP7v5+fH3bt3gQL/zTt37uTIkSPiFwKRkZHieg8fPhS/CpCQkPhn8o8Xak9PT+bMmaOkqpScI0eOiA4QPsbVq1dFn7lF8blCvW/fvkIOKP6tfE2HJxcuXEBTU5PVq1czaNAg1q5dS0JCAs2bN2fjxo3cuXMHGxsb5s2bx+PHj6lVqxa5ubnMmDEDQRAICAigc+fOlC9fnpycHFxcXOjYsSPJycm0bdsWDw8P7Ozs6Nu3L+np6bRs2RJPT0+Cg4MxNzfHzs6OiRMnsnDhQgRBYOzYsTg5OeHp6YmJiQl//vknM2fOpEGDBoSFhfHLL79Qs2ZN1q1bR9myZfHx8SmxnSQkJP4+/vFCXZyv5L+LgwcPYmdn90nryi+8NWvWJDU1tdDI52NCffDgQQRBYP78+QC0a9eOUqVKfXnl/0F8TaGW+1KXByaQ55UqVUo8PkOGDGHw4MGEhITQqVMnUlNTWbNmjVjH/v37U758eaDAe9fAgQPZtm2b6JVMV1eXTp06kZSUhLOzM15eXiQlJdG6dWvc3d3FuqirqxfylSxHRUWFDRs2EB0dja2tLcuXL6dKlSqihzgJCYl/JpJQK5mhQ4eyYMGCT1rXyclJfHZaqlQpWrVqxY4dO0SPUR8TanmQi/nz53Pz5k20tLQYOXKkUtrxrfN3CHWdOnVo27YtAPfu3VPw571q1Srmzp1LREQE5cuXZ8GCBdjb239UqM3NzXn9+jUAsbGxotMOLy8v4P9dtMpxcnIqVqh1dHTYsGEDOTk5mJqaMmnSJAwNDYv1bichIfHPQBJqJdO/f39mzJjxSesW9X2vpqYmw4YNY9WqVZibmyvEeH4fb29v0dvWlStXWLBggSTUn8nnCPWWLVuwsrJi0KBB5OXlIQgCPXv2JC0tjaZNmxIQEMCLFy8oVaoUMpmMGzduYGRkBBQt1Onp6aipqWFjY4NMJsPR0VFhRA2FhVpHR0cU6uPHj6OlpcXVq1cBMDIywtfXl2XLltG8eXMxnOaX+lOXkJD4NpCEWsn079//g9/sCoKAubk5DRs2RFVV9YPr2draKvgWfp+DBw+ipqbGsmXLyM/Pp0+fPmI0oH87X1Oo9+7di4ODAzdv3uT48ePiCRMTE0P37t2xs7Pj1KlTZGdnEx0dTc+ePcnNzWXx4sW0b98eKIic1LFjRwYNGkSnTp1o0qQJV65cISAggE6dOtGhQwc2bNhAXl4effv2ZenSpaSmpjJhwgSxjBs3btC+fXuWLl0KFLhk3b59O3369GHw4MEcOnQIKAhZ2L59e+zt7Rk1apQY1lFCQuKfiSTUSqZ///7MmTOHixcvFpuCg4OJjIykdOnShcRZXV0dNzc3fvjhBxo1aiSG5iuKadOmoa6uzsaNGwEwNjYWIxv92/maQv0hZDJZIV/l8sAE2dnZYoCJzMxMUlJSxHT16lWuX79Ofn4+6enppKamittnZmaSk5MjLns32EZKSooYMvDd9d/Nk8lk4n4kJCT++UhCrWT69+/P7NmzP2ldXV1dUaC1tLRwcXERIxV5enp+1IXoxIkTadiwIVevXiU+Pp5hw4b9Zxyk3LhxgzJlypS4nJIKtYSEhMRfjaurqyTUyqR///4sWrTok9bV1dWlfPnyTJ8+nQMHDigEPvfx8ZF8fX+A8ePH06NHD6WUU61atQ8+YpCQkJD4O3F3d5eEWpn079//kz2T6erqKsSLfR9JqItHWUK9a9cu6tSpo4QaSUhISPw1SEKtZD5HqD+GJNTFoyyhnj59uiTUEhIS3zSSUCsZZQn1qVOnJKH+ANKIWkJC4r+Cq6ur+Cno34Uk1EWQlJT0rxTqpKQkpZQjCbWEhMR/BWlErWSkqe/iefv2LcOHD2fUqFEAjB07lnnz5n1RWcoS6okTJ2JgYMDUqVO5cOECN27cYOrUqSVKmzdvVojOJfHf4NmzZ+Tm5hIVFUVycjLh4eHcvXuXCxcucOHChX98cJR3vyi5cOECSUlJpKSkcOHChb+vUl+BtLQ0Vq9eXew5HRISovAicHJysuhdUs6bN2/EfiD3a7B161aio6O5ffs2UOBpsDjc3d2lEbUy+VaEOiUlhTdv3hS7/N1l2dnZRUaW+is4evQoJiYmtGjRgipVqnzxCFtZQr1x40bKly+v1FSUx7lPSRoaGuLf8uXLY2hoiCAIGBsbK72OJUk1atTAysqq2FSzZk3Kly9f5DJzc3Pq1q2LlZUVVatWFfMrVqyIvr4+VlZWqKurU758eYyNjUXbqKmpoaamhiAIVK9eHRUVFXR1ddHW1ha/nqhQoQJmZmaUL18eQRDQ19f/221VVCpVqpTY7vLly1O9enU0NTURBIFq1aphZGQkHnctLS1KlSql0E9Kly6Nqqoqmpqa1KlTh7p166KjoyP6YTAyMqJ8+fJoamoq7Ldq1aqYmpp+lTbq6elhYmKCkZER9evXV+gb8vOjdOnS1K9fn9q1a2NhYSGuU6FCBfF/eZvLly+Pjo4O9evXp3LlytSqVYty5cqJy/X19alQoQJ6enqF6lKuXDlKly79tx/3zz235I6xbGxsMDY2pm3bth98+fivRhLqYviQUCcmJuLp6Ymbm5uYVq9ezdu3b8WIYpUrV2bbtm1kZWWxbds23NzcyMzMZMuWLZiamhIWFsbmzZuZOHEi3bt3Z9WqVfj5+bF27VpWrlzJwoULWbt2LU+ePCE3N5dFixbh5ubGxo0bSUpKIisri61bt+Lh4cG8efPw9PQU65eRkcGcOXNwc3Njy5YtpKSkkJGRwcaNG3F3d+f169csXryYlStXfpFYjx8/no4dO36xbd+t5+vXr5Wa7ty5w6JFi1i4cOEnp8WLF7Nz504WLlzIrl27eP36NcHBwSxcuJDIyEil17Ek6eTJk5/VNmWk33//nd9++020z6JFi/D29ubYsWP4+PgUquPChQsJCAj4221VVNq+fftfZqdNmzYRFhbG69ev2bdv39/Wxhs3bnzV/rFt2zaWLVuGr69vobo8fPiQc+fO/e3H/VPS2bNnxTYdPnyYVatW8fjxYyIjIzl37lwh50pfE0moi+FDQu3t7c3vv//O9evXEQSBV69eceLECdasWYOpqSn+/v6i57KXL19y9OhRnJyceP78OZMmTeLq1av4+/tjYmLChg0bWLt2rXg37uXlRfv27enRowc3btzg2rVr1KpVi5EjR5KUlETXrl0ZMWIEOTk5jB49GhUVFf744w+MjIwYOHAgAHXr1uXQoUOEhISgpqaGm5sbsbGxNGnSRHQIY25uTtu2bcnIyPhs24wfP15pcb8lJCQkJD6MJNTF8ClT33FxcVSoUEEclW7ZsgVDQ0OGDBkipri4ONasWUOZMmUYNGgQe/bsAQqeM+np6QEFz2FevnxJZmYm+fn59O3blxEjRgAFPq1VVFRYvnw5AF5eXgiCQGBgIFOmTEEQBA4fPkz16tUZNmwYK1asoEyZMmJ4xYkTJ9KmTRtiY2Np3Lgx8+bNw8vLi8aNG9OlS5cvso2ypr4lJCQkJD6OJNTF8ClCnZqaStu2bRWEumbNmrx8+VJhvR07dtCyZUu6devGxIkTyc/PVxDq93lXqL28vFBTUxNfGrl79y4VKlQgJiaGKVOm0Lt3b/bt20e1atVEodbV1eXx48cA7Nu3T0GoK1euzM6dO1myZIkk1BISEhL/ACShLgZNTU0xhGFxxMTEoKOjQ0hICAAnT55EXV0dDw8PHj9+zMmTJ0lJSWH37t306tWLu3fvYmxsTHR0NI8fP8bU1JQOHTrg7++Pra2tKK7vCjUUOIUfO3Ysubm5eHl5YWhoCBSEYZSHcpw+fTqWlpZs27YNTU1NTp48CYCjoyOTJ08WhbpatWoArFmzRhJqCQkJiX8AklAXQ7ly5T4aLGLbtm0IgqDwmdPUqVPFt0Z//fVXZDIZw4YNw9bWVgyN2LJlS3Jycti9ezeqqqpYWVlx+/ZtsrOzAbC0tMTc3Fwsc8WKFZiYmDB9+nR69+7Nb7/9Rnp6Or1790YQBFxdXTExMWHWrFnIZDJatWqFlZUV7u7u2Nvb8+LFC168eCHeGLx69YqOHTtSrVo1Hj169Nm2kYRaQkJC4ushCXUxVK9encDAwI+ul5KSUqK3AVNTU0lMTFTIu3v3Lnfv3hV/5+fnExISwt27d8XRu5zXr18TFxdHRESEmJeXl0dwcLBCGUXx+PHjL/q+VHqZTEJCQuLrIQl1MRgbG39U6P6rKOvzrBMnTrB48WKWL1/Ojh072LFjB7///jvr1q0Tf8vThg0bCuW9n1avXs3x48e5f/++mOS8u15oaCg7duwgISGBHTt2cO/ePXbs2IGfn1+x7yWcOnVKoYxz586xZ88e8XdiYqL4/+3btzl69Gix9fT19S2Ul5GRgbe390fbqCzkDjSio6PJzc0V8+Pj44vc5/Pnz9m/f79o13dvDN+vt3wd+e/8/Hz++OOPQuX+8ccf7Ny5U2G7EydOfNQGH0rv9pMNGzaInzn+9ttvH7Shj49PobJevnzJs2fPxOUPHz7k4cOHpKenf9Kx2rFjB+fPn2f37t3FLr99+3ahvHdt96H07nmyYsUK8dOijRs3Kqx36tQpDh48yPXr14ss5/r16wr990Pp0qVL7Nixgxs3bpToOL2bDh06VOj88vT0ZMeOHWzbto3NmzeL+cuWLRPbuWTJEnbs2MHixYsV8tauXSv+XrNmjfj/2rVrWb58ebGfma1du7bY89Tf319p596XIAl1MVSuXPmLpoX/C5w9e1YpU9+dO3dGEARUVFTQ0NBAQ0MDNTU11NXVxd/yVFTe+0lVVRVtbW309fXFVKlSJSpVqqSwnpGRERoaGlSoUAENDQ309fXR0NCgbNmyGBoaitu8m3R0dBTKKF26NJqamuJveVnycrS1tYutp56eXqE8ExMTdHV1P9rGour2JUlXV5dKlSphbGyMqampmP9uO97dp6GhIZqamqJdjY2NFcp6d335Ou9uX6ZMmULlvp+nr6//Qbt9Snq3n6irqys4bPmQDYuyvZGREQYGBlSqVAk9PT3KlStHuXLlPvlYyfvJh5aXLVu2UN67tvtQerdNqqqqogOS988VHR0dtLS0iux38v5Y1HEvKsmPWXFlfUnS0tIqdH6pqqqioaFBqVKlFNqjoqIitlN+3XjXIY2KioronEd+7N/9/93t30/v2vP9Nnbs2FFyeKIslCnUOjo6XL9+XSll/dt48uQJjRs3LnE5nTp1okOHDkqo0f+Tnp5OcHCwUlNUVBTBwcEkJCTw8uVL4uLiePXqVaFHHspyMfihC8LWrVuV3j5lpOfPn/Pq1Styc3N5/fp1sfVPS0v7qJ0SEhK+6Pv+T+HVq1dfzSZF8f4XIX8F8v76d6SYmBiCg4P/VlH7UuLj44tskyAIkq9vZaJMoa5du3ah58ESBTx58gRBKFHXAQqEesWKFUqokYSEhMRfgyTUSuZb8fX9b0eZQi1Fz5KQkPiWkYRayShTqGvWrCm+SCKhyOcItdwTW1FIQi0hIfGtIwm1kvmWRtQ5OTn8+OOPNGvWrFAouq1bt3L8+HGeP38OwKVLlz4oaN8anyPUTZs2RUNDg/Hjxxda1qlTJ9zd3ZVdPQkJCQmlIQm1kvmaQi13duLq6kpubi7x8fE0aNBAfMmqXLlyjBw5UnQscvjwYTp37swPP/yAiooKPXv2ZMSIEQQGBtKhQwe2b99O8+bNGTp0KKdPn0ZPTw9jY2Pq1q2LqqqqKOS1a9fG2dmZjIwM+vTpIwqmm5sbderUwcXFhQoVKnDq1Ckxv2vXrgwcOBBBEPj1119LbJvPFWr5W5WGhob8/PPPpKenAwVCvXbt2mK3TU1Nxd7enurVq/PkyRMADhw4QPXq1blz506J2yEh8V/iyZMnvH37FplMhre3t0IcZ4nikYRayShTqDU0ND7oQvTgwYNirNaUlBQOHz6Murq6KNTe3t5ERUXx/fffo6KiwoULF0hMTOT8+fOoqqpy+vRpcnJy8Pb2RldXl/bt22NpaYm6ujrr16+nSpUqzJ8/n9evX9OnTx969epFWloazs7OODs7Ex0dTZUqVUTBnDp1Kp6envz5558K3tIOHjzIpUuXePjwIYIgEBcXV2LbfKlQC4KAqqoq5ubmLF++/KNCnZ2dzahRoxAEQfSnbmNjQ7t27UThlpCQ+DQqVqzIzJkzWbp0KZ07d1baVwr/diShVjJfe+q7UqVK6Ovrc+7cOQYMGICGhoYo1C9fvmTy5Ml06tQJQRA4f/48UPDphJqaGqdPnwYKBN3R0ZHY2FgCAwMJDAzk0aNHVK1alaNHjwIFU+UtWrQgKSkJZ2dnunbtypIlS6hfvz4qKioAvHnzhn379tGlSxfU1dXZtGkTUCDU3t7eolArA7lQW1pa4urqSrt27bC0tCwyaWtrF/vdoiAIHxRqAHd3d7HeixcvZuvWreKy1NRU7t27x/Xr10V3r2/fviUqKkoUdn9/fxISEvD391dIqampACQlJXHnzh2Sk5PF7eXODSIiIsjPzxft6+/vz/Pnz8nLy+Pp06cK5cXGxhIeHo6/vz9v374VnWNkZmYik8nE9eT1kslkPH78WMyXu4+Fgjjd/v7+REVFcevWLcLDw8Vlubm5REVFifWSlxUVFfUFR/L/CQ0NVfhdnLMfuX2SkpJ4/PgxT58+BQoe9Tx9+lT8ZC0uLk5sW1HIl0VGRgIFfSooKEhcHhUVxatXr8jIyODBgweiH3yAZ8+e4e/vT3x8PAC3b9/G29ubV69eAf9/rN7fR2JiIqGhoZ/kH+HevXuF8qKjowF48ODBB7dNSUnB39+fgIAAcTt5n0tPT8ff35/o6Gix//r7+5OcnExOTg6BgYHisb9//76CfW/evMnt27dJTEwkKCgIf39/4uLiyM/Px9/fX4zAl5mZWWS9Hj9+zIoVKwgMDOTNmzeFlr8bmz42NrbIMkJCQkhPTyc1NVXBmXfOowAAIABJREFUxhEREWRmZvLgwQOFbYODgwude+/3ixs3bhAfH4+/vz9BQUHcu3ePR48ekZWVRWZmpmiP2NhYsc3Pnz/H19dXrHNGRgY3btzgyZMnJCUlcf36dcLCwoiJicHf379En/tJQq1kvrZQz507F1dXV7S0tLC3t8fKykoU6iZNmnDq1Cny8/MxMjISO+bFixfFETUUCLWFhYVYpre3tyjUcveee/bsURBqDQ0Nnj9/zsqVK0WhdnJyYvz48aSmpqKtrS16nvorhXrz5s0cO3aMY8eOsWjRokJp//79mJmZKUWoX79+zbRp0xRcnh48eJCKFSuydOlSatSowaxZs7h48SKNGjViwYIFnDt3DgMDA1xdXalYsSKNGzfGwMAAAwMDPDw8iIiIYOLEiRgaGtK1a1fi4uKYPXs2BgYGpKWl4ejoiJ2dHVFRUfTo0QMDAwNq167Nvn376N27t1jW999/LwY/MTY2JiIigsaNG9O4cWNCQkIYNGgQzs7OVKhQgdGjR5OSkoKnpydVqlTBwcGBRo0aKbiRXblyJQYGBtjY2KCnp0e9evVE4RwyZAg2NjYMHz4cKBCp7t27Y2Njw4QJE4ACL2oODg5i8vLy4uLFizg4OPDw4UMePXqEg4ODGLgFoF+/fvz+++8kJibyv//9D0dHR9zc3EhLS8Pf3x8HBwcAli1bhoGBAefPn6dVq1Y0a9aMiIgINm/eTKdOnUhPT2fdunU0b96cuXPnYmBgUOiYrl69miFDhmBnZ0fDhg158eIFVlZWdOvWDSi48RgyZAhWVlYkJibSrl07hQulh4cHBgYGBAcHs2bNGoYOHcqkSZNo1KgRfn5+REdHY2ZmxooVK8RjDdCtWzc8PT1xdHRk5cqVABw6dAgHBwfOnDmDg4MDPj4+7N69G2NjY27dugUUiOTSpUtxd3cnMDCQGjVqsGjRIq5cuYKrq2shYezTpw+rV6/G1NSUM2fOsGrVKgwMDLh9+zYBAQEYGBgQGhqKu7s7I0aM4JdffqFXr15kZWUxcuRIDAwMePr0KY0bN6Znz54AjBw5kilTplCpUiXc3Nzw9vbGwMCAXbt2IZPJMDAw4MyZMwQFBeHs7MyuXbu4f/8+ffv25fLly5w/fx4HBweuXbtGSkoKDg4OhIWFKdR7wYIF9O3bl6CgIDp16sTIkSMZPXo0zs7O4k2UjY0NAQEBPHv2DEdHR37//XdsbW2ZPXs2z549o2HDhixbtkwsc8qUKWJ//umnnzAxMaFRo0YK/cLExIQzZ85gYGCAmZkZxsbGVK5cmVu3bhESEoKBgQGLFy/mwoULVKlShWfPnrF8+XKMjIzEWc+EhAQaNGjAokWLiIuLo3v37jg7O9O3b1+mT59eotkDSaiVzNcU6l27dlGxYkUuXryItrY2J0+epGnTpjRu3Jjz58+joqLCjBkzaNSoEYIgcPz4caDAbaaqqiqHDx8GClwz1q5dm7Vr1xIZGUmjRo1EoZZfTCZNmsTMmTMBxKlvQIxHDdCwYUM8PT05fPgwqqqq/PLLL0RGRjJs2DDR/aEgCKSkpJTYNiWZ+tbR0WHs2LEkJiZ+dOob/l+odXV1+emnn8T87Oxsvv/+eyZNmgTAqlWrMDc358qVKwo3QoIgMGTIEObMmcOVK1fQ1tYmIyODXbt2MXToUJYtW0ZoaCiCIBAaGoqXlxf9+vUjKCiI6dOnExUVxd69exk2bJgYYGXatGlcuHCB6Oho6tatS1hYGDt37uT06dOoq6sDBdHJ5F8O1KpVi+vXrzNr1iwGDBhAdnY2I0eOZNmyZcycOZO2bduKI3yAa9euoaGhwdSpU7l+/ToGBgZs2LABe3t7XF1dOXr0KBoaGhw4cIDOnTuze/duNmzYgJaWljiz0LVrV6KjoxEEgTVr1gCgrq5OUFAQZ86cQRAEYmJixH1u3bqVqlWrEhAQgIuLC3FxcQiCQHh4OA8ePKBy5crExsYqPLrZuHEj1apVE0OvtmvXjoyMDDH62/3792nbtq3C8QwODqZWrVps2bIFb29vqlatytu3b2nYsCGVKlXi3r17REREIAgC06ZNA+C7775j3bp1Yhm//fYbKioq5OTk0K1bN1auXElycjI1a9YUZ65sbW3JyMhAEATc3d1JTU3F0tKSsLAw0b7p6elcvnwZfX19sV6enp5cvHgRDQ0N8ZwFGDp0KAsXLgRg/vz5lC1blnLlyhU5Ml2/fj1ZWVmoqKiwZMkSALS1tblz5w6RkZE0aNCAnJwcBgwYwN27d9mzZ494Ps2YMUP8v0GDBmzfvp3Dhw+jq6uLj48PlpaWNGzYkMjISFRUVNi6dSs5OTm0b9+e0NBQsR0xMTEcPXoUNTU13NzcAKhatSqPHj0iMDAQQRAKjZp/+OEH1NXVWblyJT/88AMJCQmcOHECPT09Ll++THp6Ok2bNiUmJoaoqCgWLFhAZmYmHTp0YMqUKQQGBlK9enWFGwD5TFXFihW5c+cO0dHRnDt3Dk1NTc6fP09aWprYR4YPH86PP/5Ibm4uw4cPx8DAgPj4eJo2bcq0adPw9fUVIwcePHgQIyMjXr16Jc4utWjRgo0bNwLw4sUL0ZNaSZGEWsl8baGeNGmSOJ0UGxvL7NmzxZPZw8ODn376CQ8PD6ZMmcKhQ4eAgjt4V1dX9u7dCxRMZe7cuRNBELC1teXEiROiUJuZmXH+/HnGjx8vBgiZNm0ac+fOJS8vjyVLltCkSROgYJRSuXJl5s2bh6urK66urrRo0QJnZ2diY2N5+vQprq6ueHl5ldg2XyLUZmZmjBs3jtOnT4u+pTt16sSgQYM+uL1cqC9dukStWrXYvn07UFiod+/ejbm5OREREaipqTF8+HCWLl2KIAgcPHgQQBRqOcbGxowZM0b09ZuUlISXlxfa2to4ODjg6+sLFNwQeXp6AhSaQqtdu7b49v6hQ4dQVVXl4sWLCkIdGRnJhg0b6Ny5szgS3r17Ny1btqRFixaFhPrNmzfY2tpy8eJFAIYNG0ajRo1o1aoVbdq0wd3dnbFjx3Lq1CnevHnD8ePHsbW1RUNDQ9xm6tSpAApCbW1tzcWLF+nXr1+h42dtbc2GDRvIzs7myJEj/Pzzz1SuXJnw8HCePXtGzZo1AUShDgkJ4c6dO+KLkkOHDhWFevXq1bRq1YoRI0bQu3dvhf3cvHmzyIAuDRs2xMLCgp9//plFixZhamqqINT29vZs376dO3fu8Oeff6Knpyfe5MpvaN9FfmMrF+rly5eLQi23r6enJ35+fhgaGjJ48GDU1dW5ffu2KNRDhgwRR4fvCjWAnZ0dzZo1K7RfOQcOHEBDQ4OdO3cCBUK9Zs0aNm7cSKlSpQDw8/Pj559/ZsKECWJs+jVr1qCiooKbmxvGxsb89ttvLF68GH19fby8vFi6dClHjhwhNzcXVVVVPD09mT59OpqamgpCvXLlSoYPH46ampp4s1C1alVOnjzJnDlzMDU1LVKo5e/dvHvta9WqFT/++COrVq0S333Jzc3l4MGDRQp1586dmTdvnsL0trq6unjzLD+m/fr1Y8yYMeJXMW5ubuJNhbe3N3p6eqJQt2/fniVLlqCqqgoUCLWuri7z5s3Dzc2N0NBQBaGWyWS0bdsWW1vbYo/RpyIJtZJRplCrqqpy6dKlYpfn5eWRm5ur8KwwLy9Pwa2k/P+8vDxxPfl2766Xn59PSkqKOIUmF+pVq1aRlZWlEDRBJpOJzzOzs7PFbfLz80lLSyM/P5/c3Fxyc3PJyspCJpMVW98v5XOF2sLCgpcvXyq0Az7+HXVGRoYYyjM/P59ff/2VypUr8+DBg2KFOjc3F3V1dTZv3kxaWtoHhVo+KpW3KTU1FS8vLwRBoG/fvgwePJjc3Fx69+6Nq6trkXWsV6+e+Az51KlTqKurI5PJFITa1NSUq1evMn/+fNq0aUN8fDx3796ldOnSODk5FSvUc+fOBWDt2rUsWrSI3r17s3z5cvH45ufn4+joyPz589m3b5+CUO/fvx9QFGo1NTX69+9PUFBQIbsvXbqUatWq8fjxYwYPHkxKSgqdOnUqVqihoM/JZ4eio6NFoX748CFVq1alZ8+ehYQ6ICCASpUqKYyQoUCoL126hLq6OkuWLGH27NkKQr1q1SqOHTuGjo4OLi4uqKiokJGRQceOHRWE+saNGwBs2bJFbH9xQj137lxRqOPi4ujYsSO//fabKNTPnj3D2toaR0fHQkKtrq6OioqKwqj7XbKzs3F0dGTBggUAqKiocPXqVYKDgzE3Nyc7O5vu3btz+fJlAgMDRftmZWVx6dIlbt68Se3atdm2bRv79+9HT09PfOa9c+dOYmNjqVChAn5+fiQlJdGxY0cFoa5atSrx8fFoamqKdVRVVWXAgAGkpaXRrl27IoVaRUUFW1tbhenr4OBg1NXV0dTUFGcQ3rx5g52dXZFCvWLFCrZs2aJwrr07qwgF70TIfbDLr0nvCvXJkyfp3LmzKNTyZ9JGRkZAgVCbmJiQnZ1N2bJlGT58uIJQb9++neHDh1O6dOliz91PRRJqJfMtfUddEg4fPoyhoSHjx48Xp46+JT5HqN+NsvQ+H5v6Tk9Pp3v37giCIPpI7tChA23atOH58+ecOHECHR0ddu7cSb9+/di5cyfXrl1DVVWVrVu38vLlSwRBYPXq1QAcPXoUTU1N0Re1h4cHpUuXZseOHfTo0YPIyEg2b96MIAg8evQIU1NT/P39OXbsGNra2nTo0IFOnTqJsxKPHz9GQ0NDFIf//e9/qKmpERcXx6+//oqJiQn37t2jRo0aDB06lIoVK6KpqUlAQACOjo7s3buX/v37U6dOHYVn1HIhcXBwYP369VhbW5OSksKkSZOoUaMG+/fvZ8yYMRw7dgxLS0vGjBnDjBkzUFdXZ8aMGezcuZOxY8cSGRmpINSCIODr60tgYCBVq1YlNDSUx48fc/bsWSZOnIggCCxfvpw2bdqwb98+dHR0OHfuHP7+/pQvX55jx44xf/58ccp17969orhfvnwZKysrUlNT6dKlCzNnzuTUqVOULl1a4ZhmZ2czZMgQdHV1GTlyJM2bNychIYE6depw7949WrRowZEjR+jWrRvjx48XhW3o0KH07NmTHj164OHhgSAIREVFsWjRItTV1alVqxZdunTB19eX5s2b4+joKLZ5+vTp5Ofn07ZtW1asWMG+ffvE0fCmTZtQU1PjzJkzNG3alDFjxnDw4EFKlSrFkSNHMDc3p0+fPgwdOpRRo0aRmJjIsGHDuHbtGoMGDaJcuXKFvg65fv06Bw8epFu3bsyfP59Hjx6Jtj99+jSampo8e/YMJycnBgwYwNixY8V+LOft27fUrl2bXr16kZqaSs+ePTEwMKBWrVosXryYnJwcypYty59//olMJkNHR4cnT56IQj137lyioqLQ0NDg1KlT4rmwb98+EhIS0NbWFp/By5FPfZ85c4YyZcrg4+Mjnof29vY0aNAAKBBuMzMzRo0aRXp6OtbW1kyZMoWAgAAqV67MkCFD6NixI7Vq1RKfDQuCUOjmzN7eXhyhQ4FQW1tbc/ToUVasWMHVq1eJjIykRo0arF69Wpz6fv78Obt27UJHR4eRI0diYWHB3LlzsbKyYvXq1URERFCpUiXS09PZvn07lpaWhV6W/Bxq1qz5zxfqIUOGKKsuJebfItTe3t5s3ryZffv2FYpV/S2gTBei8peUiiI7OxsvLy98fX1FOyQlJeHn50dcXBy5ubncv38fPz8/nj59SnZ2Nq9evWLLli3cvHmTxMRENm/eLI5EAgIC2LJli3jz8H/snXdUFcffhxdUrNhQUSQW7A17w64Ro0ZjL4mAvWJNNGJX7GKJBQuComisqNgRCwoaEEUEaSKogPTeucDz/sG58/OKGmP3dZ9z5px7d/fuzszu3c/O7LfExsZiZ2eHlZUVTk5O5OTk8OzZM9zc3FAoFHh7exMaGkpaWhpOTk5YWVmpBK+JiIjAyspKWAOHhIRw9uxZUlJShPVuUlISQUFBuLm5iZKamsr9+/dJSUnB09OTa9euqRjJKYV6woQJeHt7i6n1uLg4rKysmDdvHvb29igUCk6fPo2NjQ1Xr17F2tqaI0eOYGVlRWRkJCEhIVSuXFm4ss2YMYOEhAQiIiKwtrbG39+fx48fc/ToUfbt28fJkydJTEzEzs6Oy5cvc/36dYKDg0lISODIkSNcvXoVV1dX9u7dS9++fXn8+DEnT54kPT2d58+f4+HhgUKh4N69eyQnJxMWFibemb9MZGQkp06d4siRIzx58oS0tDSOHj1KfHw8gYGB5Obm4ufnR1BQEOnp6Tx48ED0XUpKChEREbi5uZGYmIhCoRDrkpKSSElJ4cqVK8IK3s3NjadPn5KXl0dUVBSnT5/m8OHD3Lx5E8i/lq2srDhx4gQuLi5kZ2cTGBiItbU1x44d4/bt24SHh3Pjxg0OHz5MdHQ07u7u4vwr02G+jL+/P3///Tf79+8nPDycFy9eiLqHhITg7OwsEru4ubkRHByMp6enis1ARkYGnp6e4pVXWloaDg4O3L59W/g/u7m5ER0dTV5enth/UlISx44dw8fHh7CwMPHAGh8fj62tLWFhYWRmZmJlZSWs5JXcunULa2trcnJycHJyEvc/ZcwG5QNpdHQ0Dg4OPH36lJycHDw8PHj+/LnwCHBwcODGjRsq4ujg4FAg0uP06dNV3CzNzMwYMmQIDx8+JDAwkJycHDIyMnBzcyMsLIykpCTu3btHTEwMUVFR4rw/efKEpKQkPD09CQ8PJz4+Xky7Z2dn4+np+UFW33/++ee3L9SvTm19Sf6/CPXXjhzr+9MSERFB48aNxdT314iVlRVxcXFfuhoyn5iAgADOnTtH//79VVwI35ecnBxWrlyJvr4+hoaGKsZ4EydOxNTUtMArsi/NokWLmDRp0het1wfdbevWrcvSpUs/UlU+nBo1anyUqfiLFy+ir6//1mnb75mtW7fStGnTD9rHixcv0NfXFy5FMv8jJiYGCwuLf/XXlZH5lGRnZ2NjY8Py5ctf61f+PihH8/v27SuQnXDNmjXY29t/lAeCj4m+vj7GxsbC3udL8EFCXaxYMeFyoyzKZO0vu+Moi4aGBkWLFlVZ9l9L+fLladmyJe3atVMp1apVQ11dnRs3bnxwp2zduvWtvr8fu9SpU6dAez5HKVasGE2bNhXfX04+/6bSsGFDJEn64JkUPz8/9PT0/tU9S0ZGRuZLUqhQoY/iLfMhfJBQ37t3DzMzM54+fSqKtbW1sN4zMzPjyZMnYt2lS5e4du2ayvb/tXh4eGBubq5yDGVZt27da/0a/ytJSUmv3f+nKhMnTsTIyKhA+f3335kwYQLz589n3Lhx/Pnnn5+1Xm8r165d+6A+loVaRkbmW0BdXZ3t27d/0Tp8nFBVMh+EQqEgKyurQMnLyxOGI1/bdNCHIgu1jIzMt0ChQoUKZED83MhCLfNFkIVaRkbmW+Cb96OWkXlf3kWojx8/To8ePTh16hR3794VroAPHz5kxIgR9OjRQwQzuXv3LoaGhly4cIFLly5hYWFBcnIyhw4dEqFHL1y4oBKG9OjRoyrfV6xYwcyZM0WxtLTk4sWLKste3n7hwoXMnDlTuE8p9zdz5kyRUEVGRubbRhZqme+WdxHqxMREmjdvjp+fHxMmTKBevXpERkbSqlUrli5dys2bNylTpgzHjh0jLi6O8uXLc+fOHSwtLSlWrBi+vr6YmpoKV7J169ahpqZGVFQUGzZsoE2bNgwaNIjq1asTFRVFtWrV0NPT4+zZs0ycOBFDQ0M2b97MggUL0NbWpkOHDhgbG3P48GH69evH7Nmz2bRpE5UrVyYhIYGDBw+irq7OggULKFeuHDt27Phc3SkjI/OJkIVa5rvlXYQ6JSWFzp07M2HCBExMTESAE2WsZIDq1avTr18/AEqUKCHCFLZs2ZKoqCguXrwohFoZQtTPz4+aNWty+vRpDhw4wJw5c/D392fQoEEYGhqKYCeGhoYijV6zZs3Yvn07GRkZPHv2jC5dupCSkkJcXBwtWrRg7dq1nD17FnV1ddasWUP58uVZtGjRp+o+GRmZz4Qs1DLfLf9FqH/77Tfat29PVFQUHh4eKsFWXhbq0qVLC/cxpVDfuHFDxAdWCrUylvqrzJ07lz59+gD5sYgNDQ1FkINmzZphY2MD5Ec069KliwiP2KVLF5o0acLZs2cpVKgQu3btonTp0owaNeoj9JSMjMyXRBZqme+WdxHquLg4ateujZubGz169GD58uVER0fTvn17pk+fztWrV9HS0uLChQs8e/ZMTH1DfnzeZ8+eicxkkJ/dSkNDg/DwcBo1asS0adOwt7fH2NiYgIAAatasKRJkODo6FhBqZUaqxMREqlatyrZt20hKSqJ169ZcunQJKysrChUqRGRkJCYmJrRo0aJA4gMZGZlvC1moZb5b3kWo4+PjWbRoEd7e3oSFhXHixAny8vLw8fHhyJEjODg44OXlJWJ0Hz16lJiYGCwtLYVQjx8/XvzRKlWqhCRJrFy5Eg8PD3788UdKlCjB9evX8fDwQEtLS6St/OOPP4RQp6Wl0ahRI9q0aUN6ejp5eXns27ePkiVLUqtWLXbs2IFCoWDPnj1IkkT16tWxtLTE09PzM/aojIzMp0AWapnvli/lnhUdHc2CBQs+6zFlZGS+XWShlvlu+ZJ+1MnJyZ/9mDIyMt8mslDLfLfIAU9kZGS+BWShlvlukYVaRkbmW0AWapnvFlmoZWRkvgVkoZb5blEK9ZkzZ750VWRkZGTeiCzUMt8tSqH+ksnYZWRkZP6N70aoQ0ND8fPz+yglODhYpH58F179PeS76Pj5+ZGYmPjOx42JiSmwLCAggJiYGPz9/QkPDychIeGd96fsk2fPnn2qbv+qUQr1ihUrCqxT9klAQABpaWkF1r948QJ/f38gPyiKEmVyjK+dkJAQAMLDw1+7Pj4+/jPW5uMQFRVFTEwMoGpVn5KSIj6/fK5eRvlfUBIbG0taWhr+/v4kJyeTmJhIcHAwERER+Pn5kZqaSlBQ0H++dzx58uSzpouNiYkR5dX7g3J5bm4uKSkpYvnz58/F54iICIKCgsQ95tmzZ29t37eQCjc3N5eYmBjy8vJEG5Xn9UsWf3//195r4DsSamNjY7S1tT9KqVOnDsOHD8fY2Phfi5GRUYHfGxsb0759e7S1tfnxxx/f+bgGBgYFllWtWhUDAwN0dHRo3rw53bt3f+f9NW7cGG1tbRo0aCDqO3nyZExMTF7blkmTJr3xRvctohTqypUrF2irsk+qVq1Kv379Cqxv0aIFOjo6GBsb06VLF7G8Zs2a4vOMGTOYMGGC+D5nzhwmT578TtfNpy516tTB2NiY5s2bv3Z9165dCyxbs2aNKIsWLWL16tUsXbqUFStWqKx7XVm4cKH4PHfuXBYtWoSxsTHm5uYfrU1t27YVSUt69eollv/000/i88vn6uXSpEkT8d80NjamU6dO/Pzzz+jo6GBoaEiPHj2oXbs2rVq1onLlyvTp04eaNWv+53tHrVq1GDp06Gc7zwYGBqK8en9QLh85ciS9e/cWyxs1akTlypXR1tamVatW1KhRQ9xjGjRo8Nb2fc62vW/59ddfMTAwYNSoUWhra9OyZUtatmz50fThfYuOjg4///zza+v83Qh1//79+eWXX3B2dv7XcvPmTby9vcV3Pz+/d/rdt1p27NiBpqbmvxZJkggODv4cp+uz8fDhw/fqs3Xr1r1x3ahRo96pPwcNGoSmpiYLFy5k0qRJTJo0iSpVqrBx40Y0NTXFfiZMmMCPP/7IsGHDaNu2rTiO8qFq1apVDBw4kAMHDmBmZvbaOhkZGTFjxgymTZtG06ZNOXXqFAsXLmTt2rVMnz4dZ2dnZs2aRa9evejQocNr9/EubVKWUqVKvfbzv5Xdu3djZmbGoEGDcHZ2ZteuXVy4cIENGzawefNmlfpYW1szadKkL/7/+S/Fzs6O2rVrv7btzs7OmJubU7NmzS9ez/ctb2qbsujp6XHgwAGuXLnC9u3bxe/at2//xev+oeXevXtkZmbi7OzMo0ePeP78+X+6F+Xk5ODl5fXafd+8efOLz3J9NqGePHny5zjU/0syMzP/Xwq1zKchMTFRfE5KSvqCNZGRkfkYyEL9DfA1CLWDgwNdu3b9z0+qMjIyMjIfhizU3wBfg1D//fff/PHHH7KVtoyMjMxnRhbqb4CvQagzMjJULHhlZGRkZD4PslB/A3wNQi0jIyMj82X4aoR669atbN26le3bt79x3dKlS3ny5MmnquZXiyzUMjIyMt8vX41QX7x4EUmSUFdX59KlS2L54cOHkSQJSZL49ddfP3VVv0pkoZaRkZH5fvlqhPrhw4dUrlwZSZLo1auXiG40b948atWqhSRJGBoafo7qfnV8TqG+efMmLVq0oF69et9s2bp1K9u2bRNl5syZjB07VmXZvxULCwu6dOki9jl48OACxxkxYgR9+/b95O0ZOnTof6r7pyg9e/akTZs24vugQYMwMDCgXr16zJw5k82bN9O9e/cvfu7fVtq1a8fq1avfuc2zZ89+7fJx48axbds2fvzxR7Hs5eO0bt2adu3aYWRkRLdu3T5L27p06YKFhcVHPeempqbvtJ2ZmRmNGzdm1qxZ/PLLLxgZGWFkZES9evXENqtWraJdu3Zf/Bp4U2nUqBHz589/bfssLS0/+X333/hqhDo8PBw7Ozsxqg4KCuLZs2esWLECU1NTJEli4cKFYvshQ4ZQv359BgwYAMDw4cOpX7++SunZsycAZmZmYtmcOXPEPkxNTVW2P3fuHLt376Z+/fr06dOH0NBQsW2DBg3Edm9Duc2uXbvYu3cv9evXZ8qUKf+5z17mcwq1jY0NkiTh7Oz8xcP6vU+5ePEiNjY2H1xsbW1xdHT/0Sx7AAAgAElEQVTE19eXU6dO4eHhgZ+fHy4uLjg6OuLm5sbBgwc5c+bMR2/Dw4cPuXv3Ln5+fty9exdHR8eP0qb3LYcPH+bw4cNcv36dixcv4ujo+MXP8/uU+/fvc+jQof/U9nPnzmFnZ1egzY6Ojjx48OCLt0lZ3N3dsbW1fe9zfOTIEW7fvi2+X7hwgTt37qhsc/nyZRwdHfHy8uLcuXPcunXrtXW5fv36v9bXycnpi/fZy+XRo0ecOHFCtNXd3R0PDw9mzJhB0aJFP/l999/4aoQ6KioKDw8PFi9ejCRJjBw5End3dwICApg1a5aKUC9ZsgRtbW0uXbqEuro68+fPZ9CgQTx79owGDRpQsWJF3N3dWbduHdbW1hQuXJhRo0ZhaWlJiRIlOHv2LADLly/Hzc0NLS0tJEli9erV3Lp1i9KlS9OoUSOePn0q6rds2TIkSVIR+tcxceJEJEli5cqVLFq0CEmS6Nev3wf13+cW6goVKnzy48jIyMh87Tg4OMhC/TJKoU5MTESSJIoXL87o0aNJSUkpINQtW7akePHidO/enfnz52NkZCT8e7t16yaEGvIN0SRJ4sCBAxw5cgRJkpgwYQI5OTkMHz4cNzc3jIyMCgi1trY2s2fPxs3NDciPTS1JEk5OTm9th1KolyxZQv369b9JoZYkOamajIyMjCzUr+Dv78+hQ4fIzc1lwIABSJLExo0bAYRQz549G8gXal1dXby8vArs521CrRS8efPmkZuby6JFi4iIiGDChAlIksSWLVuEUNeqVYuZM2dSpEgRJk2aJATs0aNHb22HUqjLly/PuXPnKFOmzAcLtUKhoE2bNsycOfOD9vMuyEItIyMjk48s1K9gZWUlRswnT56kePHi+Pj4AP8T6jJlygDw66+/oqmpyYIFC3Bzc8PR0VHs51Wh/vvvvylatCiLFy/m7NmzFC1alMOHDwNgYmICQOfOnZEkidOnTwuhVr77liSJ3r17i6lva2vrt7ZDKdRz587FxcXlowh1dnY2NWvW5NixYx+0n3dBFmoZGRmZfGShfoUiRYpQuXJlID8fr7e3t1inoaEhXLQgP5+v0uhMU1OTo0ePAvmjcj09PdTU1Ni1a5fYV82aNalUqRI//PADU6dOJScnh3bt2lGuXDl69eqFmppaganvwoULi6wzBw4coF69ekiSRI0aNd7aDqVQr1q1CgsLC9TU1GjRogURERHv3X/KmYC//vrrvffxrtjY2KCjo/PJjyMjIyPztSML9QcSHh6Ot7e3SFavJDg4GD8/P9LT01WWe3t7C/F3cnKiZcuWhIWFAfkj1osXL6KpqfnWY0ZFRaFQKN66TXp6ukpKtNjYWJVsRu+DQqHAwMCAu3fvftB+3oXjx4/Tpk2bt26TmJiIra2tePXw/Plz5s2b91lG/DLfFwkJCSxfvpzQ0FA8PT05ePDgl67SG0lKSuL48eOMGDGCxo0bC8+BnJycL101mfdEFuovSFJSkhDpl/Hw8PgCtfl3srOzqVat2mcxJvPw8BAzG2/i0aNHSJLEsmXLAPjtt9+QJIlFixZ98vrJfF/ExcXRvHlzGjZsSJ06dTh16tSXrtIbMTMzQ0NDg/Pnz+Pm5sbVq1eZOHEiGRkZX7pqMu+JLNQy70xOTg6GhoZCGD8lnp6eVKlS5a3bKIX6wYMH+Pj4oK+vr7I+LS2NgIAAvL29ycjIQKFQEBISQmBgoNgmJSUFf39/4uPjiYqKwt/fX6x78eIF/v7+KBQK/P39xbrExESCgoKIiYnB39+f6Oho4uPj8ff3JzU1lezs7HdK8P7ixQsg/5WCv78/sbGxAGJfyhIXFwfkv1LJzMwkPT1d1CU2NhZ/f3+Cg4PJzs4GIDIyUtRFuS9lIpPo6Gj8/f0JCQl546xMeHi4yvFf5n3zSkdGRr5X0vuYmBiio6OB/50rJQEBAaJPlCjbFx0dTWZmJk+ePFFpS3R0NE+ePCE4OJisrCxxzvPy8ggLC+Phw4cF9pWTk0NycjK3bt3i0qVL3Lt3D39/f6KiolTq6uXlxfPnz8nLywPyR+FeXl5kZmaSl5fH48ePcXNzIzw8HMj/Pz19+hR/f38yMjLIyckhOzub4OBglfMOiO38/f0JCAggLS3tjf1VtmxZrl27JpalpaWxc+dOMjMzSUpKwt/fX7h85ubm4u/vL64dQPwflG3w8PDg4cOHIviT8n/l4eFBeHi4uN68vLzw8fFROUcv96+SiIgIlXbExcWJa+7x48dkZGSQl5cn2qu85rKzs1XOZUZGBhEREXh6eqr0VWhoKHfv3iUqKoqUlBS8vLzEgMjHx4f79+8TFBSk0l4PDw/c3NwKzIx+LchCLfPOKIXawsLikx/r9OnTFC9e/K3bKIV648aN2NjY4OzsLNZlZWWxaNEi9u/fz9SpUxkzZgyZmZmMHTuWmjVrCqv5ZcuWoaOjQ0hICHPmzEFHR0fEcZ85cyY6Ojqkp6djZGQk3pkfPnyYjh07cufOHXR0dDA3N+fZs2fo6Ohw/fp1QkJC6Nq1KxEREVy7dg1jY2Nu3rzJlStXGDduHB4eHixZsoR+/fpx/fp1Ro0axdChQ+nSpQve3t4MHTqU6dOno6OjQ79+/TA1NSUiIgIdHR18fHy4dOkSOjo6REdHs3HjRnR0dPj9998ZOnQo9+/fZ/fu3VStWpXr16/j6emJjo4Ox48fJyEhgXHjxnHx4kX69u0r7CdexcbGBkNDQxYtWkTHjh0BcHFxYcyYMfTs2VPMWFy4cAETExOMjY0xNjbm+fPnTJw4UXw3NjZm3759+Pj40KZNG7p168Yff/wBwPz581m4cCErV65k4sSJ+Pv7s2/fPn7//XciIyNFXQwMDDA2NiYtLY0VK1aIc3DmzBmGDh3K6NGjGTRoEJB/w+3cuTNDhw6lU6dOTJ48mSFDhmBmZoaOjg4WFhYYGRkxevRoOnToQHBwMEuWLMHQ0BCFQsHo0aOFoSjA/fv30dHRISYmhtu3b1O/fn28vLy4cuUKVatW5cSJEyr9NmzYMBo3bixGrmPHjqVx48bExMTg5OTE2LFj2bBhA3369MHc3JyxY8fStWtXdHR0mD17NqdOnWL//v3MnTuX/v3707t3b/EQ0qdPH9H/enp6PHv27LXnbuPGja/1ClE+LEyZMoUVK1bQuHFj3N3dSU9PR0dHh9OnTwPg6uqKnp4e586dA2DSpEls376djh07MmzYMLKzs1m6dCmDBw/GxMSE5s2bs2LFCubPn4+mpiZaWlriHO3duxczMzP69+8vPGU8PT3p1q0bQ4cOpWbNmmzdupWePXuyZMkSdHR0WLZsGadPn8bZ2Zl+/fphZGTEmDFjiIuLIzQ0lPbt22NhYYGOjg5eXl6cOXOG4sWLC6NdgBMnTlC+fHl27NiBk5OTsO+5d+8e7dq1w9TUlIYNGxIQEMCdO3do1qwZM2bMQJIk9u/f/9p+/dLIQi3zziiF+nO4Z73LiDoqKooWLVpQsmRJ2rRpo2IoFxISQqFChUhOTsbb2xtdXV3Onz+Pvb29cI3Lzs5GW1tbGAdOnz4dSZJYvHgx2dnZ6OrqUrhwYSD/z6+hocGNGzfYuXOnsLpXuuulp6czdOhQLl26RFBQEOrq6igUCvbt24eGhgb79u3j+PHjlCxZkgULFjB+/HiioqI4ePAg7du3Jz09HTU1NVatWsXz588JDAykTp06WFhYEBwcTF5enjAGnDdvnqiz0gvAw8ODatWqsWfPHi5cuIC6ujrnz59HoVAgSRIODg5MmzaN+fPnk5eXh62tLWpqamRlZZGRkUF6eroYVdnb23Pjxg0ePXpE3759ATAyMmLy5Ml4e3tTt25d1q5dS//+/Rk5ciS2trZIkkRSUhIvXrzAzMyMLl26kJyczJ9//kmjRo2wsLDA1NSU4sWLc/HiRXbs2MH+/fvZvHkzpUqVwtnZmadPn6Kvr68SiW/hwoV06NCBxMRERo4cyY8//khsbCzt2rVDoVCQnJxMvXr1GD58OEOGDMHU1BTI99DYvHkzwcHBeHp6UqhQIfLy8ggODsbCwoLatWsTEBBAYGAghoaG5OTkYGVlxbhx48RMQ2xsLM2bNycpKQkfHx+qV69Obm4uZmZmBXIBANy6dUvEWbh37x66urq0b98egOrVq9OgQQNatGhBqVKlKFWqFKGhoUydOpVly5Zx9epV7ty5g56eHn5+fsTFxdG4cWN2794N5HujKOv3NhuWZcuW0bJlywKjfcgflbdt25bAwEAkSWLy5MlkZ2fTs2dPJEkiLy+PMWPGUL58ee7cucPBgwdp06YN0dHR+Pn5UaNGDWxsbOjUqROxsbGkpKSwfPlygoODSU5ORpIkfv/9dywtLTE3N6dWrVo8f/6cuLg4NDQ0mD9/PgMGDKBly5YkJCRQvHhxTp06RXBwMEePHkWSJKKjozE3N0dNTY22bdvStGlTihcvzvnz53n69Km4fpXXfGhoKPr6+iq2QL6+vtSoUYPg4GDOnz+PJElcuHCB3bt307dvX1JSUihcuDCWlpZs3LgRfX19goKCqFChArdu3XrrPedLIQu1zDvztQm1ckQdGxvLH3/8wS+//EJISAgAK1asoEePHiIATZs2bdi4cSMHDx5k8ODBNGvWjIkTJzJ06FBKlSoF/E+ou3TpgomJCUuWLBHT6UFBQbRu3Zru3bvTo0cPYZgnSRLdunVj7969VKtWjUuXLhEdHU2zZs1YuXIlnTp1omTJkkKo1dXVKV68uIhKB7Bt2zYRCe/3338HEEJ94cIFsV3NmjVZv349xsbGVKxYEfifULdp00bcvFJTU5EkiWnTpnHu3Dkh1K1bt2bdunUq/Xvq1Cl69epFnTp1mDNnDllZWdy8eRNPT08Voe7duzeTJ09m9erVmJmZERcXx5o1a+jevTtDhw5VcaUzMzNj1qxZ5Obm4u7uTqVKlTAzM+P06dMEBgaSmpoqhHrx4sVCqAEqV67M/PnzsbS0JD4+noULF9KyZUsePHhA06ZNGTVqFI8fP6Zq1arCOKpJkybUqFGDRo0asWHDhtdeS927dxffXV1dKV++PKdOnWL27NkqQl2rVi3s7Oz466+/SEpKYvTo0aSmpgqhXrlyJXPmzHmtUD99+pSaNWvSo0cPli1bxvjx44VQFy1aVIxSs7KyxEORUqgBDh48KIQ6MzOTkSNH0rVrVyBfqN3d3Tl16tS/CnWxYsUKvLJQsnnzZtatW0ezZs2wsbEhOzub6dOnU7JkSdauXcuGDRuEUK9YsYJJkyaJtjVq1IgFCxZQvXp18ZrmZV6+fpUCqaRo0aKMHz8eNzc3WrduzbBhwyhevDjXr18HEEINcPbsWdTV1dm7dy+BgYHimgkPDxcPyHXr1lUR6mXLlmFtbY2Hh4cQ6uXLl2NtbS2EOjAwkLVr17J06VLq1avH6tWrgfzrp2bNmlStWpUHDx68sW+/JLJQy7wzX6tQb9q0iejoaKpXr46BgQHh4eH4+flRuXJlUlNTgXyh3rVrF6dOneLgwYN07tyZfv364ePjQ82aNYF8oQ4NDaVFixaMGzeOa9euqdxsHj58iJqaGmPGjBHLJEkS07nDhw/n0qVLPHnyBA0NDQYOHMjNmzepVKkSaWlpHD9+nBIlStC+fXvKli0LwOTJk2nWrBnp6elUq1atgFArR1QAampq2NnZERwcTOPGjYH8G3Pfvn2JiYmhXbt2dOjQgfv376Ours7JkyeFS52DgwOzZ8/m559/RqFQiP5VKBRERkYSFhZGTEwMeXl5rFq1isePHxcQ6s2bN6v0v6OjIxoaGrRq1aqAUJuZmQEIgbt8+TKQH5sAEEL9999/qwh1gwYNuHv3LoUKFcLOzo6FCxdiYmJCSkoK+/btE0ItSZIY+TZp0gQzMzMGDBiAnp6eqIcyVa2npydVq1YVyy9evEjt2rXx8fHB09NTRagnTJiAv78/DRs2xNzcnG7duqkI9axZs3BwcHitUO/atYvZs2dTrFgxTExMsLS0pEWLFqSmptK/f38xkly7di337t0DVIU6ICCAUqVKcfXqVVJSUujRowfTp08HYOTIkQD/KtTKke28efPEsoyMDE6ePMnmzZsZMWIECoWCiRMnCqH+66+/GDVqFLq6uty7d09FqNu3b09MTIwQ6rt379K5c2fMzc2B/PDHSt5FqCF/dmHatGlvFOqwsDDU1NTEQ2VkZCQvXrwgJiZGPOwUK1ZMRajT0tKYOnUqZcuWFUKdkJDAqVOnhFC3bt2apUuXkpeXR/ny5cW1qKury7lz52Shfge+GqF2dXUtUB49ekRMTIz47ujoyLVr11SsKJ8+fYq3tzc5OTmkp6cXsNx2dXVVyWGt3JdyVBAZGYmrqyt+fn5A/sX68vdXf/cmY5JPydco1AYGBuIp+/z583Tt2hVLS0vS0tKYMWMGrVu3ZsKECZibm5Obm8vSpUs5cOAAf//9N9bW1mzatAkDAwNyc3NZt24de/fu5ejRo9y/fx9LS0sMDAxUjjlw4EA8PT2BfOMhAwMDduzYwT///IOBgQFWVlaEhoYKEXRycqJMmTLs27ePgwcPUrJkSc6dO0evXr1Yv349NjY2lClThtWrV9OuXTsGDhxIWloafn5+6Onpiaf+ixcvUrFiRQICAvD19aV79+7k5eWxc+dODAwM2L59O4aGhhw8eBAXFxc6dOjAP//8w/Xr1zEwMMDFxQUfHx+aNWtGs2bN6NOnj8pNVsnixYtp1KgR48ePx9jYGB0dHfz88pNyVKhQgZkzZ9KrVy8eP36MgYEBa9euZe3atUiSJN4tGxsb06BBA+Li4sjMzGTw4MHo6urSvHlzevbsycGDB9HV1eXChQscPXpUCLWNjQ1aWlps3ryZjh07cunSJWbNmsVPP/1ESkoKW7ZsEVOXs2fPpnXr1tja2jJo0CDi4uJwdXWldevWVK5cmfbt23P79m2V86R8aNu/fz/Dhg0jNDSULVu20KtXL7Kzs1m1ahX9+vXDxMSE3r17ExgYiIGBAceOHcPV1ZWuXbty8+ZNlf59mV9++QU7OzuGDx+OhYUFixcvZsCAAQQFBfHkyRO6du2KgYEBRkZGhIaGkpKSQt++fRkxYoTYR4cOHRg2bBh2dnZihuP06dNUrlyZyMhI5s+frxKE6XUcPXqUzp07o6+vz549exgwYAAXLlzA3t6edu3aYWJigoGBAX/++SexsbFMmjSJ4OBg5s2bR2JiIp06dRIzPtOnT6dFixb07t2b33//ndzcXCwtLenQoQNt27YVwaEePnxI+/btmT17NtnZ2YSEhDB48GAaNWqEvb09nTp1wt3dnR49ejB27Fjs7OwoXry4eIDbvHmzirCbm5tTtWpVmjRpwsKFC3FxceGnn35i586dQL7tgqenJ/7+/nTv3h07OzsMDQ1Zs2YNd+7coWvXrqSlpYnr/86dO4wdO5YWLVowZswYDAwMWL58OcOHD2f58uVcv36dLl26iAeHrw1ZqF+hb9++aGlpMWLECGbMmIGWlhZDhgwhPj4eLS0ttLS06Nu3L23btmXgwIFA/rupBg0a0KhRI+Li4ujQoQNVqlThzJkzQP77vWbNmtG8eXPxJK3cl/IPYWpqipaWFkZGRmRnZ2NsbCy+K1Em7tDS0nrj1Nan5GsT6tTUVGJjY1XeTynfnUG+daqvry/3799HoVCQm5tLYmIi6enpKBQK8vLySElJITY2lry8PLFOiXKdEqXhl9L6NSsri9jYWPHQFBsbS3Z2Njk5OXh5eQlLYicnJ168eEFoaCjXr18nISGB+Ph4EhISSE9Px9nZmdDQUGJiYvD19RX1unXrlrBQT09P5/bt28J6XVnnpKQkYmNjRXm5XtnZ2WRkZBAbG0tWVpaoz9WrV3n27Bm5ubkF+rRKlSp4eHgQGxtLZGQkmzdvZuLEiSgUClxdXdm0aROurq5kZWXh7Ows2urk5CSO7+rqipOTkzCEevr0KZcuXeLMmTOkpaURHBws1kdFRXHjxg0SEhJ4+vQprq6uREREEB8fj0KhwNvbGz8/P5VzBfkWwI8ePeL27dsq8QEiIyNxcnJSeUf76nWSkJBAQkICOTk5Yl1eXh7JycmiH5XGV8rzq+zTjIwMlf59mZePoXz3Hx8fT05Ojsq5Ur6Oyc3NxcfHh6tXr4p9xMXF4eLigrOzs9iXhYUFFy9eJDY2lidPnrB7925MTU3f6hedkJCAk5MTTk5OBAQEiOVhYWFEREQQGxtLcnIyaWlpJCYmkpeXR2ZmJpmZmaKdkD8ad3V1JTAwUNQ7OzubuLg4njx5ImY1srKyiImJISAgQCxLTk4WdVBaU7u5uZGUlERUVBTXrl0T58nb21slf0FaWhru7u44OTmRlJREZmYmPj4+Yj+xsbGkpqaK/4Ky5Obmqpwr5flV/hceP34srqP09HTi4uLIysoS7X7Zg+BrQhbqV5gyZYp4slM+5SljfUuSRLFixUhPT8fOzo5ChQrx119/4ejoiCRJdO7cmRcvXqhEL1NO6WzZsgU9PT0aNmzIs2fPxDaTJk3i8ePH1KxZE0mSxBPj6tWrkSSJI0eOqNRPTU2N+vXrCxePz8nXJtSfi9TUVIYMGcIPP/zA33///aWr80l5nV+/zJfl1ffBOTk5whZD5vtAFupXeJ1Qz5gxAwB9fX06depEVlYWbm5uVKpUSeSaVgq1MgOWch9Tp05FkiTGjBnDjBkzWLx4MZGRkWIbSZI4deqUMMhZu3Yt8D+h7tWrFwsXLhRxwdXU1KhUqdJnCTryKt+rUOfl5REZGflGlxgZGRmZT4ks1K/wOqHu1asXkO/y0bNnT7Kzs4WQKK06laI7aNAghg0bVkCoX7beBShfvjz9+/dHkiSaNm0qrHeVfnxKof7zzz/5/fffKVKkCAcOHBDxwP8te9an4HsVahkZGZkvyXcl1MOHD39noQ4ICBBCvWbNGiBfqOvXr4+9vT1//vknhQsXFsE/JElCS0uL6OhoFaFWCvDAgQN58OABV65cAUBHR4crV65QtGhRZs6ciaWl5WtH1EeOHGHVqlXC3UYWahkZGZnvi+9KqAcOHPjOQr127Voh1EoXFWWay3379tG2bVs6depEYmKieEfdoUMHkpOT0dPTQ5IkDh06RHBwsMiwpa2tLVwxypYti5ubG5qamhw/fhxjY2MkSWLIkCHA/4RaR0eHMmXKoKuri4ODgyzUMjIyXxQ3NzeaNWsmXLH8/PyoX78+jRs3/iL3pe+B70qoP9SPetSoUbRr146srCzS0tJUrD6fP3+Or6/vGy0xX46v+60iC7WMjIyLiwslSpRgz549QH7s7hYtWqChofHBGfpkXo+DgwNFihRRyVPwJfgmhLpEiRJoaGjg6Oj4EWv17fC1CfXFixcxNzdXKcqUl46OjmKZEuX6nJwc7OzsxDovLy+VbZ2dnVm6dCleXl48evSIdevWCUOy2bNnM378ePbu3QvAtWvXmD9/PkOGDBHRtOLj4zl8+DArV64sUGflcV5Nf3ru3DnxisXNzY0dO3aoJBpQ/vb8+fNAfphPV1fXAvtVkpub+9r2K4uDgwOQn2Rj9+7drFmzRlgS+/n5qWz7cgz1d+X58+evdXX5t315e3tjbm7Oli1biIiIIDc3Fzs7O+FvqyQoKIiVK1eyd+9eUlNTSUxMZNeuXWzatAnId2ny9fV9bd9AfuAQc3Nztm3b9tq6v9x+pf/1gwcPMDc3V/HE2LFjh9guIyOD/fv3q/xW6XO/bNkypkyZIl59QX5c7vDwcFauXMnjx4+B/Bj3L7teuri4YG5uzrlz50hOThbiqMTe3l7E6Vbi4eHxxvO+e/dukpKSRP++jkuXLontXycMYWFhlClTRsQ6t7Ozo2zZsu894rt9+7YIPgL58RDy8vI4fPiwSA7i7e3Nhg0beP78Obdu3cLKykq4Yfr5+alcvydPnlRp8+tISkoqsH7Lli04Oztjbm6uktTEzs6OESNGiHjiyv599feurq5MnTpVpS0fC3lE/R8IDAzE09NTJRPM98THFurY2Ng3Zqt5F6G+fPkykiRx9epVEdYxIiKC8+fPU6pUKXbu3En16tWZMWMGOTk59O3bFwsLCzIzM0XyhidPnqCvr09AQADDhg2jXbt2PHjwAG1tbfbs2cOgQYOoW7cuzs7O6OvrM2LECFxcXChXrhyHDh0iPT2dokWLikQdCxcuZOvWrXTq1AlTU1OaNWsmknOUK1eO8ePHU7RoUeFPD/k+qMOHDxd/xJo1a9KgQYMClv3FihVj8uTJhISE0KBBA6ZNm4abmxutWrXC1NQUPT09fvrpJ5ydnSlZsiSmpqZoa2szceJEADQ1NTE1NaVcuXI0a9aMFy9e0KRJE3bt2kXhwoXp1asXqamp3L17Fz09PWxsbFBXVyc4OJi0tDTGjx9P1apVKVOmDNbW1mRnZ6Ojo0OrVq0oW7YsHTt2JCgoCAsLC8qXL0+ZMmUYO3YsI0aMoEqVKmhoaKCpqUnNmjUJCgrCzMyMzZs3U6ZMGYyNjcnMzOS3336jYsWKlC9fng4dOpCVlUXLli0ZPHiw6AeFQsGUKVOYNm0ac+fOpU6dOiJyVrVq1Vi/fj0VKlTA2tqajh07Mn/+fPr06UO9evXIysqiY8eO1K1blwYNGoiodC9z+/ZtevTowenTpylatChRUVE8ePCAUaNGYWVlhZ6enqi7JEls2LCBQoUK4ePjw4IFC3B0dKR27dq4urrSq1cvpk2bxsiRI9myZQvFihXj+vXrvHjxgvLly2NqaookSXTs2JH4+HgkSVKJRvf06VM0NDSYNWsWHh4eFClShNWrV+Ph4YG+vj52dnbUrl2bbt26kZWVxbZt2xg2bBgtWrSgQYMG9OjRg2nTpqGvr8/IkSOZO3cuFhYWFCpU6I05ta9fv44kSTg6OlKsWDGVjBRSrgEAACAASURBVGJKtLS0OHHiBNHR0QwcOJA+ffqI63fLli3UqVOHwMBAgoODKVq0KJmZmWhpaVGkSBE0NDSoXLkya9euZf369VStWpXixYszc+ZMfHx8KFy4MCVKlKBMmTJUq1aNtLQ0cZ24uLiwdetWihQpgqenJ7du3WLgwIFUqVKFsmXLsn//flq2bEndunUpX748BgYGrF+/XqXu6enpNGjQgJ07d6KlpUXPnj1FCN5y5cpRqVIlEV/+9OnTjBgxgiFDhqClpUVaWhpXr17FxMSEw4cPC1ukixcvMnz4cGxtbdHS0mLr1q1vvnG9B9+VUP/5559yCNEP4GMKdW5uLj/99BPVqlXD3Nyc58+fq6x/F6F+8uQJFSpUAP4XDAZgwIAB6OrqAvkpI3/44QcCAwOZMGEC+/fv59KlS3To0IE5c+Zw6tQpEbjm4cOHYhTbsGFDWrRowYABA4D8kXOxYsWwt7cHYOLEifz6668iqcHChQspVaoUJ06cwN/fHysrK5HZKjg4mH379glRrFatWgHfWKWA3717l/Lly9OmTZsC2ygfNO3t7dHW1mbdunUsW7aMCRMmAPlP9Hv37mX27NkiW5GTkxN37twB8kd1Li4utGzZUgh16dKlsbW1ZebMmUyZMoWkpCR8fX1ZtmwZoaGh1KpVC4A9e/YwevRosc+yZcty9+5dVq9ezc8//8y0adNECMa5c+eyb98+Ro4cSf369Vm1apWIwrVs2TJCQkJwdHSkTJkyHDp0CEtLSyZPnkx6ejoHDx7k9u3bXLt2jV9++YWcnBxMTEyYNWuW6IfHjx/TuXNncnNzefr0KWfOnCExMZFu3bqhr6/PTz/9hJeXF6mpqRw8eJDz58/Ttm1bihYtSlhYGN27d6dfv36MHDnytUL97Nkzli1bRnp6Ol27diUqKoqjR4/SvHlzEQBm9erVXL58GU1NTWbPno2mpia5ubkiUIiyf728vKhfvz5jx45l06ZNrF69Woz0GzZsCKBiRNqiRYsCua4NDQ2xs7MjLCyMpk2b4uLiwvTp00Vms9u3b1OqVCk2bdqEmpoaQUFBJCYmYmlpydOnT0lJSaFz587Mnz+f5ORkMjIyKFu2LPv27Xvt/0oZotXGxoa2bduK0b6SiIgIypQpw4QJEzAzMyMpKUlcv6Aq1OfPnxchWgMDA2nWrBkdO3YkNTWVy5cvi0QykydPxsTEhBcvXtC4cWMcHBxwc3OjSpUqzJkzhzt37gih9vLyEv3btGlT1q9fz4MHDzAxMSEhIYGUlBT2799Pw4YNRRrNK1eusH//fi5fvoyZmZm4P5w/f55//vmH+Ph4SpcuzeXLl4mIiMDAwICHDx8yYsQIrly5goODAyYmJvj4+ODu7s6yZcu4du0a+vr64gFzypQp7Nixg3HjxoloiR+L70qoraysZKH+AD6FUEuShJqaGiVLlmTKlCli/bsIta+vL+rq6sCbhRryfc/d3d2ZMGECxYsXx8/PTyRXOHXqFNWrVy+w74YNG9KlSxeKFCmCg4PDa4X6l19+EULt6+vLli1bGDt2LNu2baN9+/YkJSWhrq6Ot7c3ubm5DB48mMKFC4tEIi8zfvx41NTUmD9/PitXruSnn34qEDmsf//+aGhoYG1tzbBhw4RQ161bV2W7SZMm0aRJkwJtUgr1kiVLaNasGe7u7tSuXZvHjx+jUCiEfYWvry/Xr18nOjqa1q1bA7B161aRmSovLw81NTXWr1/P6tWrKVSoEIUKFUJPT48nT56wf/9+Ro4ciYeHB/Xr1xehc01NTYUx5Y4dO6hevTpeXl4oFAoRzUop1B4eHvzyyy8ArF27litXrrBq1Srq1avH48ePqVy5cgF7EKW3ReHChcUD15gxY1iwYAFHjx4VN7qMjAzU1NRQU1P7T0JtYmJCbm6uiHKXm5tLrVq1hIHnyyiFRBmL+vjx4wVm4oyMjLh37x6SJIkpVGNjY5YuXUrp0qUZPXo0CoWCAQMG0KdPHw4dOiRimSuvXyWSJNGnTx8kSVKZrQFUhPrl7WfNmkXp0qUZNmyYSkhipVCfOHGC1q1bi4BPSm7cuEGJEiXo06ePiNL3qlCrq6tTqlQpBg0ahLa2tohqNnfuXPGAERsbS8eOHYmJiSEzMxOFQkFUVBQtW7YUx7KwsKBXr17imps4cSJjx44V/Vu1alU8PDxUriFACLWS27dvU61aNVatWlXg/qBE+aCZlZVFjx49sLS0pEuXLly5ckWcd4C///4bX19fnjx5wpIlS1AoFEyaNAkrKyvy8vLE9fEx+a6EetasWR8k1CdPnmT8+PE0bdqU4cOHi4T23ws5OTkMHjz4vYX63r17IvJVTk4OrVu3Vgn8orRyt7a2Zvfu3UJ434TS2h7gypUrlC5dmoiICOzt7dHU1MTKyorTp08zdOhQ4uPj6du3r0hhOWDAAObMmcPz589p1KgRjRs3Zvny5Vy6dInY2Fj09PRYvnw5Y8aMwcTEhNDQUJo0aUKXLl1wdHRk4MCBXL16FV9fXzQ1NdmzZw8LFizgjz/+YP369UydOpWrV69SvHhx9u/fz5UrV2jevDmBgYHUqlXrtVPfGhoaJCcn8/vvv4sRycsYGBgwZMgQMjIy6NevH+vWrePIkSMULVqURYsWYWtry8KFC7l06ZLwILC1tWXJkiWcOnWKBg0aEBgYyIgRI2jfvj3R0dHUqVOHHj16YGNjw8qVK0lPT2fevHls3LiRkydPUq9ePYKDg9m/fz9VqlQhIiKCkJAQtLS0CAgIYNKkSQwcOFB4N+zfv58iRYqwYcMGlixZQrVq1fDx8SE7O1vkrgaIiYmhevXqzJ07l/Pnz4s82bNmzeL27ds4ODiIGOyzZs1i8ODBWFlZIUkSz58/p2LFikyaNAlbW1vOnTtHamoqhoaGVKhQgZUrV9KvXz/c3NyoW7cudnZ2zJs3j0KFCnHo0CGaN2/O+PHjWbx4MT/88IOKAVRYWBi//vorCxcu5Pz58yJJiIuLCxUqVGDOnDkYGRlx4MABli5dSuPGjbl58ya6urpipBwSEkLt2rXFO9PNmzdTtGhRVq5cyYgRIzh27Bi2trYYGBiQlpaGJEki+UaHDh1YsWIFe/fuFdnfOnTogJubmxhRe3t7c+LECYoXL84///yDi4sLbdu2xdPTEz09PQYOHIitrS0LFiwgPDxcCLXy/X14eDhly5Zl+/bt9O/fnz59+oj38JA/9a2pqYmjoyNTpkxRyTwGcPfuXUqWLEm/fv1EitSBAwe+dkTt7OxMvXr1hOHt4sWLadWqFampqSQnJ1O/fn1MTEw4duwYa9euFULt5eVFUlISHTt25MqVKwQHB4sR9cOHD0X/Tp06lR49eohZIeUD8Jo1a6hduzZJSUkF7hvXrl2jUKFCjB49GltbW/Hev1y5chw7dgw/Pz8GDhxIbGwsK1asYOjQodja2jJhwgTy8vKYNGkSNjY2HDhwQESaPHToEFWrVmXx4sWMGzfuo8cMd3BwQENDo4Ddyufmswj1zp0731uoL1++TNGiRYWg2NvbF4j1+/+drKwsypQpg7a2Nm3atPnPpUqVKtStW5c2bdrQunVrMbp8XdHU1BSj5Tdx69Yt8bT/8OFDNm3aRFJSEtnZ2dja2jJ48GC2bt0q4gkfP34cNzc3cnJyOH78OIcOHSI3N5fr16+zceNGbGxsyMjIICIigp07d3L79m0iIiLYvn07ERERBAcHc/DgQaysrHj48CE5OTlERkayceNG7O3tcXR0JDo6mri4OBYtWiSmoa9fv861a9e4efMmPj4+9O3bFxcXF9GO9PR0Fi1axJYtW4D8UaWNjQ0JCQkq7d26dStOTk6kpqZiZ2eHu7s7CoUCBwcHKleuzLZt24iKiiI7O5tjx45Rv359tm3bRlBQEDY2NlhZWZGQkMBff/3FwYMHSU1Nxd/fn2nTptGvXz8ePHiAnZ0durq6rFmzhr1799K5c2dq165NYmIixsbG1K9fn1q1aoksRhUqVEBTU5NatWoxatQonj59yo8//kiTJk04evQovXv35sGDB0RGRtKkSROKFSsm2nPhwgW0tbXR1dXF0dGRAwcOYG1tTWxsLM7OzuL8WFhYYGFhweHDh7l8+TIKhQIXFxcKFSrEzJkziY6OJikpif3797Nz507i4uJEuw8fPsxvv/2Gvb09mzdv5sGDB1haWhIbG4u9vT2WlpYqccFtbGyoV68eu3btYu/evUydOpVu3bqRk5PDtWvX2LhxI2fOnCE9PZ2TJ0/i7+/P8+fP2bJli3j4iouLY+/eveIBIDs7m6NHj7J37178/Py4d+8eOjo6wkCuV69ewnhp48aN7Nq1i507d+Lm5kZeXh4TJ07E09OTuLg4sVyhUHDu3DmMjIzYvHmzMHYMCgpi8ODBzJs3jxs3boj/7dGjR0Wu5YCAADZu3MjOnTvZsmWLyHeuJCQkhI0bN2Jtbc2xY8cKXIfu7u5s2rQJe3t7FAqFeMXQu3dv/vnnH+7fvy+EWmk/opz9OHr0KM2aNSM+Pp68vDwePnxImTJl6NKlC2FhYUKolTNTvr6+ZGVl4efnx/bt2wkPD+eff/5hy5YtREdH8+LFC6ZNm0bfvn05e/asOM7p06fZtWvXa21gsrOzxb3j2LFjwmBNkiRmzpzJ6dOnhS1SamoqBw4cYOvWrdy5cwcrKyumTJnCuXPnuHjxIpMnTxa50T08PNi4cSN37959wx3r/VEK9ZdIxvQyn23qu1KlSm/dJicnBz8/P9zc3Hj06JEQ4379+jFmzBiuXLlCQECAsDh8lZczZCmJjY0lICBA5YYQEBBAQECAuJCePXtGQEAA4eHh5ObmivUAoaGhBAQEEBYWJvalXJecnCy+K8vLWb0+JgqFgjZt2jB06FBu3br1n8q9e/d49uwZ//zzDykpKeTm5tK2bdsCAl2hQgWaNGmCjY2NeP8s8/k4dOhQgZtb27Ztv1BtPj/29vYiC5gS5ftjmU+PUqhfl+/6U5KYmIiGhgbHjx9/63bPnj0rMKp1c3P7lFUDvrOp73d5R21vby8sElu1aoW9vT1RUVG0bt2a6tWrM378eGrUqMGOHTuA/HdKxsbGuLu7izy2zs7OLFu2DGNjY5ycnJg7dy66urosWrQIAFtbW/T09Bg6dCidO3fm8ePHWFhYoKury7hx40hJSUFXV1e8RxkxYgS6urosWbKE27dvo6ury88//wzAokWL0NXVZdiwYdSqVQtdXd0CKTY/Fp/qHbWydO/eHUdHRxITE2U/ahmZ75CwsDAaNmxYIPf5p+bhw4fMmzcPb2/vz3rcd+W7Eurdu3f/q1BXq1aNwoULk5ubS9++fUU40bp16wqjo7JlywpjBmUks5UrV5KTk0O1atUA6NatGxUrVhQWgpIkYWpqSkREBC1btqRq1aqcP38eDQ0NTExMxPu3adOmieTvyvevBw4cQJIktm7dyr59+8R2SjcdZT7flStXIkmSyMP7sfkUQl24cGH09PQKWEnKQi0jIyOTz3cl1EuXLv1XoZYkSYxWlcK3adMmFaFetWqVEGofHx8qVapEjRo12LRpkwg+0K1bN0qWLMmyZctEZixTU1OePHlC/fr1KV26NHPmzGHo0KFs375dCPXo0aNxd3dHkiTq1KkD/E+oFyxYQJcuXYRQx8fHM3LkSIoWLYqZmRk//PDDNyPUeXl5ImDFq65ZIAu1jIyMjJLvSqinTZv2zkKdm5vLgAEDhOP/m4Q6JyeH4cOHo6amJowkIH8qZcCAAZibmwujqZeFumrVqmRkZJCRkUF2drYQ6sWLFxMVFaWSXlMp1CVKlCAuLk4INeS7XkiSRJMmTUR9vwWhhnwjlzcFj3lfod6zZ4/I6S0jIyPz/wFlCNEvPTX/WYTawsKCihUrvnWbqVOnUrZsWVxdXWnXrh0dOnQA8t8FKwM0FCtWjK5duwpRtre3FxaDr4v1/fLUd2RkJK1bt6ZEiRJs3bqVK1eu4OXlJYR6zZo1Baa+N27cKHJaAypCfeTIESRJYt68eSLK0bci1G/jXYT69u3blCtXTvhJu7u7C19SZYhMGRkZmW+d72pEbWVlJQI4vIkXL16wadMmdu7cyY4dO4SldmZmJtbW1mzduhVzc3PhM6lcV7hw4TdGo3lZqAGuXr1Khw4dKFmyJGvWrCErK4v79+8jSRJmZmZkZWWpxJFduHAh5ubmODo6ijjE+/btIzMzk6NHj7Jq1Sq8vLzYvn075ubmBQIefCy+NqFWBuRQU1MTy5RZyD4EWeS/HzIyMoRrk5LExMQClt//lXv37hWIwf01kpOTQ1BQ0L9ul5CQoOK1IvN5+e6EumrVqh91n35+foSEhFC6dGkxwv7/ypcQ6pcTT7yKUqiVoS0Bzpw5Q+HChcnIyGDixImoq6ujpaVFuXLl+Pnnn0XMYUNDQ1JSUujfvz+Ghobk5uayYMEC9PT00NbWZu7cufj6+lK9enVat25NZmYmycnJVKxYkXHjxqnUY9u2bairq7Nz505GjhxJ8+bN8fX1xd/fnx49eqCvr8+0af/X3pmH1Zz9cfxLoUWyVpQtJLKNaIaxxWCYITLZxhpjbINhLI19CRGhse8kO0lZE4a0EKWypUgpifZ9e/3+6LlnXJVh7D/f1/Oc57n3u5x7tvt9f8/2+YwjMzOTNWvWoK+vT2JiIsOGDaN58+a4ubnRpUsXSpUqxa1bt2jcuLGw9e3t7Y2JiQna2tosWrQIT09PNDU10dLSon79+lSoUIGKFSvy+++/U6dOHSRJQk9PD21tberWrUvJkiXF3ktVVVU2btzI6tWr0dPTQ09PT1hXW758OZUqVcLY2BhJknB2dhY+0l+0Oe7v70/Hjh05cOAA/v7+dO3alVWrVpGamsr58+dp3bo1/fr1IzIyUizI/PHHHxk+fDhz5swBCvaJN2nShBYtWoj92AoyMzMZPXo0rVq1Ersetm/fTp06dbhy5Qq7d++mYsWKeHt7ExcXR9++fWnWrBkdOnTgwYMHxMXFUaFCBYyMjNDS0sLa2pqgoCDU1NRYvXo1V65coXz58nTv3p3hw4dTp04dqlWrRocOHcjIyKBr167CVrRiZ0dR2NvbI0kShoaGGBoaij2uiumnmjVrUrp0aSwsLHB3d6dEiRIsXrwYAG1tbZYtW0Zubi6rVq3C2NiYunXrcuXKFXx8fGjTpo14eVC0OYWxEgUrVqwQdgYsLS2pVq0a9+/fZ+XKlbRs2ZKnT58yYcIEJEkiJiYGfX19SpYsSbly5ahcuTJHjx5l2rRp1K9fn2rVqjF37lz8/PzQ0dHh+++/p3LlytSuXZuMjAxGjBiBiYkJzZo1w8bGBoB69erRqFEjbt68Sa1atRg+fDidOnWid+/edOzYkV69emFnZ8eOHTvo1q0b2dnZLFmyhI4dO+Ll5cWiRYvo3LkzgwcPZsmSJaSnpzN37lx69OjBtWvXOHbsGHXq1CE6OpqQkBAsLCyoV68eDRs25PHjxzx8+JA6deqgp6dH3bp1adKkCRcuXKB79+4YGRlRu3ZtIiMji62/zw1XV1dUVVWV7C98DD6YUL9tb+tFFPPFVapUwdbW9p3F+6nyqfaoFWYpocB0oKampvisqqqKs7MzR48eRVNTEzc3N2xsbLCxsSEwMBBNTU3++usvoqOjqV+/Pj///LNYsJeUlIS5uTnlypXD19eX9evXI0lSIaG+fPky2trajBs3jjFjxhAZGcnFixcpWbIkgYGBeHl5oaWlxdmzZzl16hQdOnQgPT0dZ2dn6tevDyibYFywYAGdO3cmOzubSpUq8csvv9CgQQMaNGhAZGQkVlZW9OnTh/z8fGbMmMHUqVM5c+aMmDLZsGEDp0+f5tSpU+jq6nL06FFCQ0Pp1q0bGRkZjB8/Hi8vLyZNmkStWrW4ffs2CQkJYvugJEl4enoSERFRyLzqjRs30NXV5ezZs3h4eFC6dGmcnJyYO3cuzZs3JyEhgU2bNtGoUSOeP39Ojx49sLS0JDo6Gnd3d06cOME333xDTEwMy5Yto27dusLjGRR4Mvvuu++4e/cuX331FadOneLcuXOUK1eOlJQUJaF2c3PDyckJb29vUb6pqanMmDGD1NRU+vTpg7W1tXDDGB8fz9KlSylTpgzdu3fn+PHjPH36lEmTJlGiRAkiIiKYOnUqt2/fpmnTpq+0jBcXF4ckSYSGhnL//n2MjIzIy8sT4vjkyRNGjx4tyldNTQ1PT09WrlyJpqYmrq6uhIeH07p1azZs2ECdOnUoV64cd+/epU6dOtSrV4+YmBjxsvTyXt2zZ89StmxZEhISGDJkCHXr1iUzM5OEhAQh1J6enkiSRGZmJmFhYZQvX55Bgwbh6+vLoUOHaNSoEWPGjBGLUIODg6lZsyaenp6cO3cOFRUVVq1axfz58/Hz82Pw4MHCDoWdnR36+vr06NEDBwcHnjx5wtq1a/nzzz+RJIn9+/fj7u5OQEAAbdu2JScnh4kTJ4rn74ABA6hUqRKnTp1CQ0MDd3d3tm/fjo6OjjAJWr58eR4+fEinTp1YsWIFGRkZWFlZ0aJFC7KysmjWrJnwnubo6Ej37t3Zv38/2dnZjBgxgqZNm/7fWI9UzFHfvn37o6bjsxRqgC1btnDgwIF3Guenyucg1GfPnqV///4AQkgUKExc2tjYUK9ePfr16ydMFN65cwdTU9NCi9v69OkjbDGXL18eS0vLYoVaMXUBBQsOXxySHzZsGFZWVmKhYLdu3WjRogXW1taA8tDWqlWrhG1nAwODQgYWrK2thTepefPmMXXqVKU8btiwQXyfOHEiTZo0EQ9UBZaWlmJ/fmBgYJFCrShfY2NjcZ9iMWT79u1Fr+7o0aOYmZkxc+ZMAPHCEBkZSf/+/YXZUEV6x44dCyC2F9rb2yvlT2Fu1dDQEFtbW1G+enp6NG/eXAg1QPv27dmwYYMQh9TUVGGn+2Wh3r17N9OnT8fAwIA9e/YABQY2jI2NRd5PnjxJgwYNaNu27SuFOicnp5BQA0ybNg0rKyugYDuoonxLlixJ/fr18fb2pm/fvnh6emJvb0+LFi24c+cOLi4u3Lx5U2lXyKVLlxg2bFiRQn3p0iXKlSvHlClTMDc3Fy98ivrr2LGjEGAFCqGGf2zVv4jiJUGBqqoqx48f58SJE3Tr1o1p06YpCbViHc3JkyfFPYqRBgXh4eF06dKFXr16MW7cOHHu0KFDqKioULlyZXFs+/btlClThvbt22NkZISRkRFPnjxh0KBBYjpqz549qKioAGBqairczSYkJCBJEtHR0UDBS7pie+z/AwrLZB/7xeOzFeoviY8h1CEhIcVeoxCSFz0rnT17lnbt2gH/CHVYWBiPHj3CysqKgIAAbGxsMDEx4fnz5/Tv35+jR4/y5MkTWrduze7du0lMTGT79u3ExsZiZmaGk5MTkiRx7949LC0tlYQQ/hHqn376CX19fR48eMDBgwcpWbKksPdcrVo19u7dK4zn+Pn5YWdnJ7xzbd68uZBQX716lbJlywof1EFBQaSlpQmhzs3NZcKECUpCraqqys6dO8X3Z8+eCRvqcXFxpKenU7NmTVxcXAgODhbmO18l1Pn5+dSsWZN58+YJIXFycuLEiROoqakJoVbUQ0ZGBubm5sTExDBz5sxCQt2nTx/S09OFUJ87d06c9/T0pHz58jx//hxra2sloU5ISGDbtm1CqHv06CF+UyHU2dnZODk5FSnUDRs2JCUlhdq1awuhhn9EY/369RgYGBAfH4+dnZ0Q6rNnzwoBUFCcUG/atImBAwcCBULdokULMjIykCSJ/v37k5mZKYQ6JCQEExMTAJG3sLAwdu/ezeDBgylbtizh4eH06tWrWKGeMGECW7ZsURJqExMTgoODRY9awYtCraj7a9euER8fz7lz54oUakdHR+rUqcP27ds5ePAglSpV4vnz59jZ2dGmTRssLS355ptvhIB4eHhQrlw5EYfCBvymTZvw9/dHT0+PxYsX8+uvv1KhQgXCwsKoWLEiS5YswcXFhYoVK3Lp0iUeP36MhoYG4eHh6OvrC1PBilGopKQkTExMhFCnp6djZmbGiRMngAKh7ty5cyG/758rX9wctSzU/52PIdQvLtp7mfDwcHR0dChXrhzBwcEA/Pbbb6iqqnLu3Dkh1N26daNz586MHz9ezFErxKJ///6MHj2ajIwM+vbtS+nSpTE0NGTo0KHCx3FSUhLjx48nPT0dQ0PDQlv8du3aRenSpdm2bRvt27enX79+REREoKKigpWVFe7u7tSoUYObN28K4/2JiYk4Ozujra0NFHi8UvwRLSwsaNGiBU+fPsXc3JyqVasK5wVpaWk0aNBApP+7776jWbNmAHh7eystWlTQs2dP7OzsgII61NDQwMDAAD09PVRVVdHT06NevXrMmjULDw8Psfvgzp07qKmpMXbsWGrUqKG0vfDcuXNcuXJFCPXy5cvR1tbm7NmzHDp0iGHDhpGVlUXdunWVhNrPzw81NTU2bdqEvb09rVq1Ukrr7t27kSSJkSNHYmBgQNu2bUX5Xr16ld9//11JqJs0aYKFhYV4GTEyMmLSpEnk5ORQp04dJaGePXs24eHh6Orq0r9/f/z8/HB3d2fQoEGUKFGCixcvoqenR7du3ahatSqampo4OTmhr6/Pr7/+qpTONWvWCKH29PSkdOnSeHp6YmNjQ+nSpVmyZAktWrTgypUr3LhxA0mSxItQuXLl8PT0JCYmhsaNG2NsbMz333/PsGHDCAsLY968eQQGBtKqVSsyMzOpXbt2IUtdCg9Vnp6e7Nq1C11dXbGgVEdHh/Dw8CKFumXLlsTExJCSkkL37t2pUqUKhoaGHD16VAh1//79hQ/vmJgYGjRoQNWqVYXfaFdXV+zs7ISDEFVVVaZNmwaAk5MTZcqUET3ZrVu38u2335KTXqjcDAAAIABJREFUk8Pu3btRVVXl559/xtTUFDU1NQYOHCjK68Whb1dXV1G+e/bsoV69eowdO5YWLVpw7tw54XNeIdS5ubmMHj2aihUrMnbsWBo2bMj169eLfXZ8bshCLfPafAyhfpW3mLCwMLy8vJQWnCm+P378WAj1kiVLCl3z8OFDoGC470UvVV5eXgQGBpKdnU1mZmahP/udO3cKrZJNTk7Gx8dH2MhW9L4iIyOFdx/F/seQkBBGjBhBeno6wcHBLFq0iOzsbObPn0+nTp2YPXs29vb2NG3aVDgJmT17NgsWLBBl4e7uzsWLF8nLyyM4OFjkLTY2ltOnT+Ph4aGUPisrK6VjkZGRwp3f1atXefToEd7e3iQmJvL48WO8vLwIDQ0lLS0NLy8vLl++zJAhQ3j27Bnh4eH069ePgwcPcv36db7//nthC3v//v106tSJH374QTikWLRoUSFb2Tt27KBTp06MHDmykE3ntLQ0Ro0axdWrVwkICCAyMpKoqCgsLS2Ji4sjJCSEAQMGkJycTGRkJF5eXqSlpREaGsqdO3fw8vISBnQU+cjOzhZxAVy7dk28AHp4eLBo0SLRHgICArh27RppaWmiF2tjY4OZmZnSSvBHjx5x8+ZNcnJySEhIEHUwbdo04eFL4doREOULBaMcis9hYWF06tSJ7du3k56eTmJiIocOHSI3N1d4ftqyZUuhNhcZGcny5cuJi4vj6dOnop0+evRIlEliYqJSu/fx8eHGjRsiXc+fP8fLy0s4mFEIteI/pJgGiomJEWXi7e1NUlISUVFRwt9AWFiYmDs9cOAAnTp1Eu3t+vXr/Prrr8KBjZeXF5mZmdy4cUP8jqLsY2Nj8fPzIyUlReRDYWvi+vXreHl5ERISIpxlXL16tdBKdD8/PzZu3FjIh/bnjizUMq/NxxBqZ2fn/xzHli1bUFFR4ejRo+8wZR+Ghw8fCm9H/4X8/HwWLFhA79696dy5c7FOZGT+ndmzZyvNwxZHZmYmAwcO/GyfMd7e3lSqVKnQSnyZj48s1DKvzccQasXQ1puSk5PDtGnT0NfXf62H7P8b+fn5LFmyhKFDh/L48eOPnZwvgpycHLZt2yYWy31u3Lx5k6+++kr0cGU+HRRC/bFdK8tC/RmQl5fHuHHjPqhQK3zqysjIyHypKNZBvK0hnrflkxTq0NBQecjwBfLy8hg6dOgHFeoXVwTLyMjIfIkcP378yxn6PnPmDJ06daJDhw6vFXr06MF3332HlZWV+N6rVy/Mzc1p27YtLVq0YODAgQwdOpQpU6YwcuRIJk2axJQpU4oM/fv3F3G3atUKQ0NDOnToQKNGjahfvz7NmzfH2NiYkiVL0rRpU6W0mJmZIUkStWrVQktLi1KlSqGmpoaZmVmx6W/UqBFt27ZFkiQMDAzo0KEDDRo0ULrm66+/xtTU9LVDuXLlPqhQKxZovQmxsbHs27ePHj16YGpqypo1a95DCmVkZGQ+DIp91B97GuuDCHVubi6JiYnEx8e/VlCsnMzOziY+Pp709HQyMjJISEggJiYGf39/Hj58yKNHj4iPj+fx48c8e/as2PjCw8PF56dPnxIWFkZ8fDyPHj3iwYMHREdH8/DhQ/z8/IiKilK698mTJ/j6+hIaGkpgYCDXrl3j+vXrPHnypNjfi4yM5NmzZ/j6+nL37l3i4+OJiIhQuubMmTPY2dlx4MAB/vrrL+zt7Tlz5gy+vr7Y2dmxa9cufH19lcLLtpHfBwqhfnn/6uswZ84c+vXrJ/Ih2yiWkZH5nHF1dUVFRYXTp09/1HTIE8cySryOZbLc3Fzu3LnD+vXrsbW1JSYmhszMTLp27Yq/vz9RUVFiu8fhw4exsLDg5s2b5Ofns379evbs2cOCBQuYMmUKOTk5LF68GHNzc6Bg25bC6tOtW7fw9fWlS5cueHh4kJmZibm5OSdPnhSfnZycePjwIQMGDODw4cOkpaVx8+ZN8XLzX0YGZGRkZOAfW98+Pj4fNR2yUMso8TpCfezYMbp168bFixdZvHgxbdu2xd3dHWNjY4YPH05AQADt2rXD1taWM2fOCBOiWVlZDBkyhPv37+Pg4MC3335LZmYmAwYMEE4oGjRowM6dO2nRogW1a9cWlsOcnJxISUmhUaNGYp9zjRo1CAoK4vLly5QvX541a9awZs0aypcvz6+//oqGhsZreSiSkZGRKYovanuWzOfD62zPGjdunLBXfO3aNSpXrsy8efMwNjbmzp07ACxevJimTZsSFRXF2LFjGTVqFJmZmcybN4/k5GSOHj3KgAEDSE9PZ/To0cycOZO1a9ciSRJaWlpoaWlRu3Ztjhw5gpqaGnv37iU7O5uaNWuybds2srOz6dy5M3fu3GH69OmoqKiwZs0aYfji0qVL/+oDXUZGRuZVKIQ6Ly/vo6ZDFmoZJV5XqCdPniy+169fXwi1wt71+fPnhVDfunWLunXrsnDhQmGv+8aNG/Tr14/Zs2fTokUL2rVrh7Ozc5Fvr+XLl2fIkCH4+/tTu3ZtJaHu3r07fn5+mJubs2bNGlJSUlBVVUVLS0veEigjI/NWKLxnfWyLa/KTTEaJ1xFqPz8/qlevLq7X0dHB39+fDh060K1bN6DAV/QPP/xAamoqubm5DBw4EA0NDbF6Mj8/X5gpHDduHOrq6vj6+lK5cmUGDx6Mq6srX331FZcvX0ZdXV3JH++LQu3i4sKTJ0/46quvWLNmDcHBwaioqLB69WolJwUyMjIyb4rco5b5JElNTaVx48avFOpnz54xfPhw+vTpw+DBg7l69SpQ4FmoVatWWFtb06VLFyV74fb29owbN67I3/vtt9/47rvvANi2bRsdOnSgffv2REdHc/PmTbp3746DgwOBgYGYm5uzcuVKMjMzadeuHZs2bSIoKIjOnTuzc+dO/vjjD2bPns2ZM2f49ttvOX/+/LstIBkZmS8GxfYshY34j8UHEero6GhWrFjB/Pnz3zps3LiR5ORkEXdOTg7h4eEA3Lp1CxcXF9LS0ti8eTPz589n8+bNLFu2jF27dhEUFFRknCtXrmTDhg2FjoeFhfHXX38BiGPu7u64uLgwf/58rly5Qnh4OLa2tly4cIELFy6wYsUKNm7cWGz6P/bqwdfhRX+zxZGVlUVsbCzx8fFKb5uxsbHExsaSmpoqjiUnJ9OzZ0/+/vvvQvHk5eURHx+vdH1SUpJwjAAFDiNejCsjIwMocFGYm5srPqenp5OSkkJqairp6enExsaSkJDwhrmXkZGRKeCLWkymsEymr6//RqF69eoYGRmhr6+PoaEhxsbG1KtXDwMDgzeO61MK5cqVo1y5cpQuXZoKFSrQtWtXpSBJEmZmZmhpadG1a1c6d+6MJEm0bdv2Q1TXawn167Jnzx4MDAxYt27dO4lPRkZG5kPxRQr1/fv33yg8fPiQ7Oxs7t+/L3pGmZmZPHjw4I3j+pTCqVOncHR0fKPQu3dv4ez+ffLs2TMaNGjwzoQ6KSmJBw8ekJmZ+U7ik5GRkflQKIa+o6KiPmo6Pklb3zKFsbe3/2Bl+C571DIyMjKfK4pV3wEBAR81HbJQfybIQi0jIyPzYfmiTIjKQv32yEItIyMj82GRhVrmjZCFWkZGRubDIgu1zBshC7WMjIzMh0UW6iJITk7mxx9/RFVVFT09PfT09Chbtiz9+/fn1q1bHyClny6yUMvIyMh8WBTesy5cuPBR0/HJCHVcXBxdunShRIkSjBo1itTUVFJTUzl79iza2tpcvnz5QyT1k+VDC/VPP/2Es7PzJx1Wr17Njh07cHZ2Zu3atTg7OwunIM+fP+fIkSMfPY3/Ndy7d++91O3L8QYGBn70vL5OcHBwYOvWrW8Vh5ubGzdv3iyybK9cuUJkZCT+/v6F7lN4YPvYZfByOHLkiJL1vxe5efNmkS5eHz16pPT9356rDx8+FL+Xm5v7UfPr6OjItm3blNrE5s2bla7ZuXMnDg4ORd5vb2+PjY0NDg4OLFiwgF27donnhoODA8eOHSM3Nxd3d3du3ryJs7MzU6ZM+fL2Ub+KoKAgSpQogaqqKtnZ2UrnFi1aRGxsLKNGjXplT+/x48fF+h8OCQnB39//zRP/L9y6dYtffvmFa9euvfO4X+RDC7WiLj7lULJkSfFZRUUFVVVV1NXV0dLSQlNTk1KlSn30NP7XoMjHuw4vx6uurv7R8/q6da2o4/8aSpcujbq6epFlW6ZMGTQ0NFBTUyt0n4aGBlpaWh+9DBThm2++QVVVlVKlSqGpqVlsPRd1TpGXF/P9qvaioaEhfvdjl8HL9a9oExYWFvz000/89NNPfPfdd5QsWRInJycR2rRpI66XJImSJUtibm7O7t27UVFRYcKECZQsWZJSpUqhpaUl2oniN2WhfoFBgwYhSRIjRowo8nxiYiLq6upoaGjQokUL9PT0qFChAkFBQSQmJjJjxgxq1KiBnp4erVq14tmzZxw5cgRjY2PMzMyQJIlatWoBcObMGUqXLk2XLl0oU6YMzZo1o0ePHsIvsiRJDBgwADs7O/766y9x7Ouvv0ZXV5etW7cCYG1tjZ6eHk2bNkVDQwM3N7d3W3Av8CGF+m2IiIgQjjfS0tLIysri6dOn/3rfuzKt+vDhQ3x8fF4ZQkNDCQkJ+dfr/kuIiooiJiZGfM7IyCAiIgIfHx8iIyO5e/fua8Wzf/9+HB0dlY7NnTuXjRs3vpd0vyoEBAQQEBAgvkdGRhIUFIS/vz9hYWFKeVfUZXJyMg8ePMDHxwdfX19SUlK4du0aAQEBwgSsgtjYWHx8fMjKyiI9PV3pXHE9xv9Ceno6N27ceK08P3r06F/b0P3793ny5AkJCQlERUUpmat9/vz5G3cMnjx58kbXp6WlvZP6fbEOFeHhw4fCac7Vq1dJTk7Gz8+Pmzdv4u/vj4+PD/fu3RPtQcGLHaXijIQkJSWRn58vng8y/84nI9QKM5mTJk0q9hoNDQ0kSeLo0aMcOHAASZLo1q0bV65cQUtLiz59+mBubk6VKlXw8/MjPz+f3377jSdPniBJEv379yc1NZWePXsiSRKPHz+mfv36jBw5kqioKJKTk4Uo5+bmkp6ezp07d8Qxhb9khScnSZLo2LEj8+bNQ5KkIp1OvCs+F6GWkZGRkXm3fFChflXPasaMGUiShKqqarHXKIZhrl+/TmhoKIaGhpQvX56FCxciSRL169fnwIEDzJgxA29vbyHUgBDqpKQk2rRpgyRJSo4gACWhVvCiUBsYGKCiooKjoyNQ8IY+Z84cjIyMXjka8C6QhVpGRkbmy+SDPPkVC8KuXLlS7DXXr1+nSpUqqKiocPPmTaVzy5YtAwqEunTp0ty4cYPIyEiaNGlCx44dOXjwIGpqavTp00fpPl9fXzZv3gz8I9QZGRlYWVkhSRIbNmxQuv7fhNrb2xt9fX2++eYbHj9+zIQJE2jdurUQUVmoZWRkZGTeNZ/M0DcU+CJWU1OjXr163L9/nytXrlCzZk0xHK4Y+v7777/x8PBARUWFO3fuEBcXR9WqVSlXrhzdunWjbdu2eHt707BhQ44ePUpaWhqSJGFlZQXAvn37KFWqFNra2vzwww/Mnj0bUBbqnJwcQFmoL1y4QOXKlWnVqhU7duwQCxTU1NSQJIm6deu+pxKUhVpGRkbmS+WDPPmPHz+Opqbma11748YNbGxsRDhx4oQ4pxDq4cOHY2Njw9q1a8W5I0eO0LNnT3r27ImbmxvTp0+nfv36/PHHHzg6OvLbb79hbGyMn58fKSkpzJkzh0GDBjFp0iSxYCUjI4OBAwfSs2dPAgMDgYLFES+mx8bGBg8PDwB27NiBg4MD169fx8bGRvTe3weyUMvIyMh8mXyQJ7+LiwsaGhpvHY9CqIvbCpWeni5WjY4dO5bnz5+LrV55eXncuHFDyQtKVlYWeXl5SnFkZmYWWnn6KSALtYyMjMyXyQd58ru6utKoUaO3iuPu3bu0bt0aExMTnJ2d31HKPh8+pFD7+flx5MiRzzJ4enri4eHB+fPnOXLkCKdPn+bIkSO4uLhw6dIlXFxc8PDwwMPDgzNnzijd6+3tzZUrV/Dw8MDV1RU/Pz/OnTsnzp8+fZqLFy9y9uzZQr977NgxPDw88PPzw9PTE29vb6U0FXXPyZMn8fPzw93dnSNHjnDq1ClOnz7NjRs3CAkJwc/Pj4iICKDARkBGRgaPHj3Cz8+PyMhI/Pz83lt4uUxcXV1fWe4uLi4iHydPnuTIkSO4ubnx999//2udKa5/3+H48eN4e3sXm+eLFy/i6+vL5cuXizzv6+sr4vLz8+PEiRPvNH0uLi64ubm99vXnz59/r23gxXwr6vb06dNK544ePSrOvRjeddm876B4PhSV//dtI+N1+GBz1KNHj36rOLKysnjy5AkPHjwotNjsS+BDCrViVfy7ClpaWujq6v7rdaamplSuXFnpWK1atZg+fToWFhYMHToUPT09Zs6cWWzo1KkTZcuWpVy5ckiShLq6OpIkUaJECSpUqEDJkiUpW7YsZcuWFecUoXLlylSuXJmyZcuioqKCrq4uZcuWFefV1dXR1tZGU1OzUNoV8erq6qKlpaWUD4UBlpfvKVOmDLq6upQuXRpJklBTU0NdXR19fX1q1aqFrq4uDRs2pFOnTjRu3Jg2bdpgYmKCrq4ujRo1QldX972Fl8tERUXllXVXokQJpXwodnCUL1/+X+u9TJkyb9ymWrZsiaGh4Svbwsth7Nix1K1bt9g8a2tro6OjQ8WKFYs8r6OjI37/xXp7V0FhdOPFY9ra2lSpUgVJkqhZsybTpk3DxMSEmTNn0qFDh/faBl7MtyJd6urqSuderPfXqdOvv/6aWrVqoaKiwsyZM6lWrRpt27YVba569er88ccfb1Sv7yJMmzaNZs2aFZl/fX19rl69+kGevcXxwYS6Xr16H+Kn/m+RbX1/OWRlZXHp0iWOHz9eZPD29i40ZfMiYWFhRR6/e/eubGBCRuYNUNj6/tgmrD+YUGtra7+TuJ4/f05aWto7ietzQhZqGRkZmQ+Lq6urbEL0dVm/fr0YOqlQoQIhISHvMHWfB7JQy8jIyHxYZDeXr8n27dtRU1OjV69eDBgwgIsXL77j1H365Obm0qVLFyZOnPhBfk8WahkZGRlZqIvk0KFDTJ06FUdHRzG8bWlpSYMGDWjatOk7saXt6urK1KlTyczMfOu4XuTMmTMkJia+0zgVvGuhPnbsWLFx3bp1i+rVq7+3vMjIyMh8LshC/RIHDx5ES0uLM2fO0LJlSyZMmMDjx49p1qwZ5cqVY9OmTRgYGPDTTz+RmZlJtWrVkCSJpUuXcu3aNbS1tdm5cyfm5uZIUoEDDYUTjfHjxwOwd+9eVFVVqV27NrVr1+b+/fsibUOGDCEoKEgMscM/Hr0GDx4shp4NDAzIyMhgyJAhqKioYGlpKVa5vspE6tvwroXawcEBSZL49ttvcXV15dmzZ+LcjRs3qFq16ivvj46OJjg4mODgYFJSUoACTznBwcHvJH0y/7+kpKQQHBys1OYiIiK+iLYTHh6Ol5dXIe9hryIwMJALFy68Fxe9Mv+OLNQvUbZsWVq0aEF+fj6//vorkiSxdetWjIyMqF69OpmZmUyfPh19fX1CQ0PZu3cvkiRhZmbG9evX6dixI2lpaUpCnZiYKIT6yZMntGzZEk1NTfr164eqqiqjR48Wafvjjz+ECVEDAwMAdu3ahSRJrFmzhn79+iFJBR6yHjx4QIMGDShbtiwXL17E2tr6sxHq/Px8Jk2aJF5INDQ0aN26NVOmTCEnJ+e1hPry5ctUr14dKysrEhMTcXd3p1mzZlSvXv2t0yfz/83169dp3Lgx8+fPF8esra2/iLZjYWGBgYHBa7+UBAYG0qZNG+bOnUudOnXec+pkikIW6pcTIkl07doV+KfHN2/ePIyMjKhRowY5OTnY2toiSQWWyaKjozE1NUVDQ4ORI0fi5eUFwNKlS1FXV6ddu3a0bt1aCHVYWBjGxsZoamqybNkyRo8ezdWrV0XaypUrx+jRoylVqhSTJ08G/hHqpk2boq+vL4QawNvbG0mSqFatmthj+r6EOicnh44dOzJixAiioqJeK2zZsoU7d+5w/PhxLC0tWblyJXPmzGHjxo2v3NPcqVMn1NTUXpmep0+f0rJlS1auXElOTg5GRkbcunWLW7duiWsyMjJISkoS24gUFuKKIjs7W8kaXE5ODvHx8eTn55OcnEx8fLw4l5iYSHp6OvHx8eKe+Ph4UlNTycvLe6PeyrsiMzPznU+l/L9y79496tWrx6pVq8SxqlWripW1WVlZ/1qHOTk55Ofni+sTEhKEbf6UlBRyc3OJj48XW9FycnJISEgodmva+5zmedFa4pYtW6hatSp+fn5Kbbo4LCwsaNu2Lbm5ueJYRkZGIa9/H5qkpCTxOSwsjGXLlon6gII8K+rjc0cW6peoW7cuWlpa5OfnM3bsWCRJ4tKlS3z77bdUrFiR69ev8/PPP1O+fHmx6nv69OlIkkTt2rWFve6EhAQOHz7M5cuXxVD2+PHjiY2NpWXLlpQvX15p83pAQACSJOHo6EhqaiqVK1fGzMwM+Eeo69evT35+vpJQP3r0CEmS6NGjB926dXuvQp2dnc1XX32FJEn07dv3rYKVlRV6enrFCrXiheRVKIQ6ODiYCxcuMGHCBKW0uri4MGfOHCZNmsTChQsBWLNmDbNmzeL+/fsAhISECL/eW7ZswdLSkjt37gAFq/xNTExIS0tj6NChmJiYiPi7devGhQsXMDExYcWKFQB0796d9evXExERQb9+/Th79ixRUVEsWrQIf39/nJ2dmTVrFjdv3mTjxo2sWrWKhIQE7O3tcXR0ZObMmcTExABgY2ODt7c38fHx2NjYcObMGfz8/LCxseH06dMEBQVhY2PD2bNnAdi4cSNbtmxhwIABHD16lPz8fLZt2ybytnPnTmxtbYmJiWH27NnY2dnx/Plzli9fzl9//UVOTg6bN29mx44dIo9JSUns379f9Lzu3buHjY0NmzZtEmWk4OzZsyxcuJBNmzYxc+ZMYQwoKioKW1tb5s2bx71794CCHtrs2bOxtbUlMjISd3d3bGxshDCuW7eOdevWsXz5cmHXfuXKleK3VqxYwerVq7GxseHcuXP4+PiwcOFCHj58CBQ8tOfMmcP27duLFcWXhfqvv/6iRYsW9O3bF4CVK1cycOBAwsLCOHToEA4ODnh4eLB06VI2b97Mn3/+yYYNGzh8+DBnzpxh1qxZ9O3blw0bNhAcHEynTp0YM2YMJiYmDB48GIALFy5gamrKqVOn8Pf3F3Ws+P2vv/6a1atXc+nSpUJ2/SMjI4vMh6L9rlixgrt372JjY4Ofnx8ACxcuJCIigqtXr9K7d28sLCw4deoUW7ZsoWzZsnTv3p0mTZqwe/fuYl9g4+LiqFu3LjVr1iQoKIjMzEycnZ3Zu3cvFhYWXL58mYyMDLZs2cK+fftYuHAhzs7OODo6kpycjI+PDwcPHiQ/P59169axY8cOUa/79+8X9fjo0SOg4D+4efNmZs6cWWR6FOzdu5dOnTqxYsUKEhISqFy5Ms2bN8fNzY3IyEhsbW3ZtGkT06dPf2U8nwuyUL+EYih7xIgRYlga4Pbt25QuXRozMzNUVVVZuXKl6KWFhYWJe4pq8IsXLxZCnZ+fz6JFi4SFn1atWnH8+HF27NiBJBV41nrZzaVCqLt16wYU9PpLlSoFwLRp05AkiQULFgiLRQp3nO8axdD3mDFjyM7OfuuwbNmyQgLdsGFD/v77b7y9vdHT03tlehRCra6ujpqaGrdv3xbnkpKSaN++PU+fPiUmJoZGjRqxY8cODh48iCRJzJo1C/hn/h8K/gySJLFkyRIAhg4diiRJ5Ofns3PnTkqVKoW/vz87d+6kefPm5OXl8cMPPzBt2jQA+vfvz8mTJ4mOjsbQ0JC0tDSuXbuGjo4O27dvx9nZGU1NTTZs2IC2tjaHDh1i/fr11K9fn6ioKCRJEg8WSZJwc3MjPj6er7/+mlmzZnH16lV0dXXZsmULhw4dQl1dHQ8PD06dOkWjRo0IDQ3FyclJtA17e3vRfnv06EGNGjXIy8vDysqKwYMHk5eXx7Bhw+jduzcZGRl07NiR8PBwUYa3bt2iefPm5OTksGHDBlasWMGVK1cwMDBgzJgx4rqgoCBq1apFhQoV6N27t3iRS09Px9zcHB8fH0aPHo2hoSH5+fk0aNCA27dv8+233zJo0CBOnz6NJEkkJCQA0KpVK4KDg6lVqxa9e/dm+vTpaGpqcvDgQfbt20eNGjWIiIgQ/89169ZRs2ZN8UKRm5tLxYoVWb58uVIP60VeFOo1a9bg5eXFxo0badCgAVDg2U5dXZ3z589z48YNTExMOHPmDAEBARw+fBhVVVWioqJYtmwZRkZGdOjQgV69elGqVCmSkpJo1qwZ27dvx9/fHwMDA1auXMmFCxcoW7Ys+/fvJzs7m8qVK+Pj44OLiwtjx44lOTmZkiVL8vPPP+Pk5MTkyZPp3r077u7uxQrX8+fPadmyJT/++CM5OTmUKFGCxYsXAwW7JuLj46lcuTKnTp1CW1sbc3Nzli9fTvny5XFzc2Pt2rWoqqoKE7Evk5eXR6NGjUT57tq1i9GjR5ORkcGCBQto0KABT548wdTUlDJlymBhYUFERARGRkaEhoZy7949vv/+e3Jzc2nevDmqqqps3boVMzMzypcvj4+PD1WqVGHGjBk4OTnRpEkTQkNDUVVVLTI9AB06dGDYsGG4u7tTsmRJ9u7dy+TJk5k+fTqZmZnCUVJ4eDiGhobFxvM5IQv1S2RnZxMQEMCQIUNwc3NTGjoJDw9n//79/P3334Xu69KlC0eOHCkyziNHjjBkyBDs7OyAgrdUOzs7+vbtK3oKFy5cYMiQIcyZM4esrCxsbGxYvnw5cXHub4IUAAAQ+0lEQVRx4n57e3sePXrEkCFDWLp0KZmZmRw8eJDRo0cTFBTEqFGjmDRpkpLDj3fJ+1pMppjj37RpE8nJycDrLSZTCLW1tTXDhg2jevXqxMbGAhAZGYm6urpYZGZmZoaZmRnXrl3DwMCAJk2aEBQURPPmzcUQ+9KlS6lRowbm5uZs3bqVOnXqUKtWLaBgWLJhw4YMGDCAjh07cv78eQDhKe327dvigfj8+XO++eYbLly4gJWVFWpqamzfvh0AFRUVqlevzqlTp0Q+VqxYgbOzM5IkMWXKFKBAqN3d3UlISKBVq1bixaJZs2ZMmjSJMWPGCCFZvny56AlGRkZibGyMm5sbDg4OdOnShezsbL7//ntq1KgBgK2tLQ0bNmT9+vW0b98eS0tLIdQjRoxg7969hISEEBISwg8//AAUjCCYm5tjZWVF165dOXnypFJdmJmZiVGLwYMH06ZNG/r27YuRkREzZ84U7bdEiRLs3r1blOmzZ8+Ij4+nXr16nDp1isOHD2NnZ0diYiKdO3fG1dWVjIwMqlevzoABA2jXrh0HDx4ECkaT4uPjmTNnDmXKlGHq1KlcvnyZiIgIKlWqxKFDh4ptOwqh7tmzJzNnziQvL0/p+XDo0CFKly7NunXrcHR0xMTERPTYjx8/riQkWlparF+/nsuXL3P58mXy8vKwsLDg2rVrZGVl0bt3b0xMTEhKSkJHR4c///yTM2fOUKVKFfz8/KhevTqtWrViyJAhDBkyRDyMbWxsXmuXir29PbVq1SIgIIASJUrQvXt3li5dyrJlyzh37hzq6uqsWbOGy5cvc+TIEdatW0fjxo1JTU0lKyuLli1birwVRefOnWnfvj0AU6dOZd68eQD4+vqiq6tLTEwMzZs359ixY+KeevXqce/ePcLDw+nSpQu5ublKJpwHDBggRsAmTZpE3759+fvvv6lTpw4zZsx4pQUuDQ0NzMzMRHl5eXkxY8YM8R8xNjbG09MTKN463ueGLNRviaWlJb/88gu6urpKcyb/Rn5+/ivnSz9F3pdQ//XXXzx58kTp3JsI9bx580hISKB27doMHToUKBCsUqVKFRJqKHjYtG7dGkNDQ86ePUvNmjUBOHHiBNOmTeOrr76iV69eHDhwgIoVK4rfCwsLo0yZMvTp00ccU4yUxMXF0bVrVyWhrlSpEidOnBA9aoBSpUpRq1YtvvvuO6DgD9i0aVMCAgKwtrYWQt24ceNihbpt27YkJCQoCXWLFi2Ijo4mNjYWU1NTLl68iIODA19//TW5ubl0795dSah//PFHfH19sbCwUBLqtWvXsmPHDpo0aVJIqAMCAsjOzhYvUy9iZmYm3Ktu2bKFNm3a0LVrV3r16qV0XYkSJcRwvILc3FwmTpyIoaEhffr0ISEhgejoaNHOwsLC0NHRYdasWRgZGbFz506l+8eOHUvz5s3x9fXFwMCAZcuWoamp+cr5Vx8fHypWrMhPP/0kevIvC3WZMmXYt28f9+/ff6VQm5mZiRfusLAwJaGGglGbiRMn8vDhQypVqsTKlSvx8PAQQt2hQwcxKhMfH09cXBzw+kIdFxeHqqoq+vr6ODk5oaqqip6eHnFxcTx//hxtbW2uX78OFIySbNmyBSMjI2JiYsjOzqZz586vFOqVK1cqCfWwYcPIzs4mKCiIGjVqCKF+kdcR6p49ewIovWgGBgbSsWNHdHR0CA0NLTI9GhoaLFiwQOnYrVu3xH+kV69eODg4/Gu5fU7IQv2WGBoaoqOjU+jh8f/IuxbqBw8eFGuG9XW3ZzVs2JBRo0YBcODAAXR0dFi3bh2pqalYWloyfPhwXF1d6dChAy4uLmzbto3ffvuNzZs388svvxAcHCyEev78+cybN4+VK1eyZMkSPD09C7WXDh06iJGTrKwsSpQowdy5c4GCofJjx44RGhoq1gp4eXlRqVIltm/fzqVLl9DQ0MDW1hZ9fX3Wrl3Lpk2bqFatGnZ2dkiSxIQJE8Q6hHXr1uHv70/jxo1xcHAgJCQEAwMDtm3bRnx8PGpqapw4cYLdu3fTuHFjTp06hZubGxYWFgDMmzdP5K1Hjx7o6+uTkpJC48aNxdD35MmTsbS0JD09XbwQbNq0iYYNGxISEoK5uTlQIO61a9fG19eXrVu3FvIcZ2ZmxoIFC4iMjGT48OEsWLAAZ2dndHV12bp1q/DItWbNGho2bMjp06eZPHmymGO/evUqGhoa/Pbbb6Juu3btSlBQEM7OzpiamgIwcOBANDQ0WL16Nd988w0eHh58//33NG/enO3bt6Ours60adNQV1d/Za9MMZ2keEGMj49HR0eH0aNHk5WVhYWFBZUqVQIKRKVDhw4kJCSQkJBA//796dSpk4hrzJgxVK1aFQsLC6ZNm0Z2djbt27dnwoQJXLp0Scx1nz59Gk1NTdzd3YmLi6NChQqcP3+eTZs2UbVqVVxcXNi/fz8+Pj7k5eWJXRGvs2hr5syZtGvXjvz8fKysrBg4cKA4Z2xsTNeuXbGzs2PkyJHs378fQ0NDdu/eja2tLd26dSM+Pp5Dhw4xYsSIQnH/8MMPGBsbi/nuOnXqcO7cOdatW8fChQuFUK9bt07cU7ZsWRwcHJgxYwaVK1cmKyuLtWvXMnr0aHJycujTp48o38mTJ9OrVy82b97Mhg0b2Lx5MyVLluTs2bMMHTqUAwcOFMqrnp4eU6dOZeHChfj5+ZGQkEDFihUJDAxkwoQJ1KxZEzs7O6WX6s8ZWajfkrCwMLEg5P+dD2mZ7HWEOjExkVWrVrFr1y5x7OTJk+KlKSwsjN27d7Nz504x93r58mWcnZ3JyMgQvZf9+/cDBUN5AQEBJCUlkZWVRUxMTKEXsC5duvDgwQMA0tLS2L17txheu3r1Knfv3iU5OZnVq1fz8OFDgoODmTBhAvfv3+fhw4fY2tri5+fH5cuXcXJyIjg4mEWLFrFu3ToWLVrE8ePHycvLY9GiRfz555+cPHmSUaNGUalSJSIiIrC3tyc0NJSIiAhsbW3x9fUFCvb///nnn8yZM4cbN26Qn5+Ph4eHSL+npyeTJ08mNjaWPXv2cOjQIXJzc4WbwuzsbFasWMGoUaM4fPgwoaGhREdHY2lpCRQsCpsyZQqmpqZFGvwxMzOjTp06ODo6MnbsWFEmu3fvRl9fnylTphAVFUV8fDzTp09n1KhRbN++XWlUqXz58mKuNDo6mq+++orp06ezePFicTwsLIy5c+cyatQoPD09SUlJYdasWezcuZOdO3eyb98+Hjx4wJ49e4qdd4UCw0CLFi0SOwQePXrEokWL+Pvvv0lNTcXV1ZV9+/YBsH//fo4dO0ZqaioZGRm4ubmJ4XsocDKyc+dODh48KBbE1axZk9WrV3P06FHxMnDv3j12795NamoqV65cYdy4caLX7ezszNixY9mxYwfZ2dnk5uayY8cORo0apbTXuzgePXok9jhfv35dLM4CiImJYc2aNezYsUNMDR0/fpxFixbh5OQkFsCeP38eHR2dQnG7urpy+PBhEhISyM3N5fz58+zcuZNDhw6RmJhIUlKSaK8K9uzZw6hRo9i0aRNLliwhNzeXgIAAjh49SmZmJqtXrxaLMPfv38/JkycJCQlh69atzJkzh8WLFxMXF0e3bt3ELpwX2b9/P+PHj8fV1ZWsrCyysrLYuXMn165d4+nTpzg6OmJnZydGEj53ZKGWeW0UQ6ifilB/KDIyMpg/fz5NmzZl2LBhHyUNy5Yt48SJEx/lt18HMzMzNmzY8J/uTU5Oxt7eHisrK3EsJCSEQYMGvavkfVBycnJo0qQJUVFRHzspb8SlS5cKTVV8bHr27MnSpUs/djI+OrJQy7w2eXl5jBs37osT6szMTFauXIm1tfUXYbnqTYmNjaVBgwZiV8KbYmRkROfOnZVWnAcHB2NkZPSukvhBuXXrFtbW1q+c9/0U+RT34bu4uHzsJHwSfJFCPWnSpEJh+PDhdO7cmR9//JG+ffvSpUsXBg8ezNixYxk5ciSdO3dm3LhxNGnSBH19fUxMTPj111+LjOtTD3/++ed/eoh8akPfH5Lc3NzPbvHfhyI7O5uYmBiePn36n+5//vx5oXnYnJwcMST7OZKdnV3s1jAZmTflixLqgIAAfv75Z3r37l0ojBgxQmyPevnc0aNHOXLkCJ6eniLs37+fQYMG0a5dO7p06YK5uTmtW7fGwsKiyPhfN3Tt2hULCwvMzc3p3bs3P/74Ix07dqR37958//33dOzYkVatWtGxY0dMTU0xNTXFzMwMc3NzcU9RwczMjLZt22JqakqbNm2oWrUqzZs3p06dOiIeU1NTmjRpQrVq1ZSOvRw2btz43uvq/2kPpIyMjMzb8EUJ9ftAYUoyOTmZZ8+evfVbdEZGhjBZCQU9C8UWo8zMTFJSUoiLiyMlJYXo6GixJSc5ObnIbTMKYmNjxbaX+Ph4AgMDiY6O5t69eyKe6OhoIiMjxbniwoumBN8XsbGx1K9fn8DAwPf+WzIyMjKfMrJQy3ySxMXFYWxsLPujlpGR+eKRhVrmkyQ5OZlGjRrJQi0jI/PFY2trS6lSpYQN/Y+FLNQyhTA1NZWFWkZG5otn5MiRwrPbx0QWaplCmJqavtJes4yMjMyXgCzUMp8spqamSlbHZGRkZL5EZKGW+WQxNTXF3t7+YydDRkZG5p2QmJhYpH2A0NBQnj59yu3bt4v0fyALtcwni6mpKTVq1HirfekfK0ybNg1HR0dmzJjBkiVLcHR0LBSWLFnC77//zpIlS+jdu7c4Pm3aNEaPHv3R81BUmt9lWLZsGUuXLlU6NmfOHBwdHRk3btxHz//7Cj///DPLli1Tyvf06dOxs7PD2toaR0dHHBwcWLhwoVI7KSquouw+fMigSOO7CitWrOD3339XOjZw4EDs7OxwdHRk4sSJr522QYMGMX78+DfOk6WlJdbW1u+lvNq3b8+3335b6Hi9evX45ptvqF27Nt999x0TJ05k1KhR4nytWrVkoZb5NDlz5gz79u37T2HMmDHs27ePX3755T/H8V/DkSNHGD9+PPr6+kqhe/fu6OvrY21tTb169cRxY2NjzMzMCl1fXDAxMcHa2ppBgwaJY6tWraJRo0bUr1+fr7/+mhEjRrBv3z6aNm2Kvr4+c+bMwdramqVLlzJy5Ej09fWxt7fHzs6OqVOnUrduXfbt20eDBg3Q19dn0aJFVKhQQQQdHR3xuXLlylSrVg0dHR309fXR1dWlatWqr53+1w1du3Yt8ri1tTXW1tYYGBgwceJE9PX16dWrF/r6+mzZsoX27dtTq1YtTE1NMTExYfPmzZiZmYn7rK2tmTt3LnPnzmXcuHHMnz8fa2trEf+GDRtYtWpVkXWrr6/PxIkT2bdvnxDWqVOnvlH7WL16NY0bN37r8tm4ceMrzyvK5MXQs2dPWrduTZ8+fYq9r169etjZ2TFixAisra3ZsmWLiKt+/foiH3/++Sdt2rShYsWKVKlShQoVKlClSpV33g7eNuzbt49OnTqhr6/PwoULi71u0qRJzJo167Xr8Y8//njnz45du3bRrl27ItOn8BL4MZGFWkbmEyMwMFCEJ0+eEBwcTGBgIBEREWRnZwtPTPHx8cW6K5X5/+fu3bvCUNLjx48/dnJk3iOyUMvIyMjIyHzCyEItIyMjIyPzCSMLtYyMjIyMzCeMLNQyMjIyMjKfMLJQy8jIyMjIfMLIQi0jIyMjI/MJIwu1jIyMjIzMJ4ws1DIyMjIyMp8wslDLyMjIyMh8wshCLSMjIyMj8wkjC7WMjIyMjMwnjCzUMjIyMjIynzD/A+rTRI3ICdUrAAAAAElFTkSuQmCC
[[Хлызова Н.Ю.]] Педагогические условия формирования медиакомпетентности вторичной языковой личности
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=1144123]]*[ext[ссылка 2|https://new-disser.ru/_avtoreferats/01004914872.pdf]]
[[hnyu_ar]]**[[hnyu_ar 1]]
---
*{{hnyu_ar_s3_6}}*[[hnyu_ar_s3_6]]
*{{hnyu_ar_s3_7}}*[[hnyu_ar_s3_7]]
*{{hnyu_ar_s3_8}}*[[hnyu_ar_s3_8]]
*{{hnyu_ar_s4_3_0}}*[[hnyu_ar_s4_3_0]]
*{{hnyu_ar_s4_3_1}}*[[hnyu_ar_s4_3_1]]
*{{hnyu_ar_s4_3_2}}*[[hnyu_ar_s4_3_2]]
*{{hnyu_ar_s5_1_1}}*[[hnyu_ar_s5_1_1]]
*{{hnyu_ar_s5_1_2}}*[[hnyu_ar_s5_1_2]]
*{{hnyu_ar_s5_1_3}}*[[hnyu_ar_s5_1_3]]
*{{hnyu_ar_s7_4_1}}* [[hnyu_ar_s7_4_1]]
*{{hnyu_ar_s7_4_2}}* [[hnyu_ar_s7_4_2]]
*{{hnyu_ar_s7_4_3}}* [[hnyu_ar_s7_4_3]]
*{{hnyu_ar_s7_4_4}}* [[hnyu_ar_s7_4_4]]
*{{hnyu_ar_s8_1_1}}* [[hnyu_ar_s8_1_1]]
*{{hnyu_ar_s8_1_2}}* [[hnyu_ar_s8_1_2]]
*{{hnyu_ar_s8_3}}* [[hnyu_ar_s8_3]]
*{{hnyu_ar_s8_4}}* [[hnyu_ar_s8_4]]
*{{hnyu_ar_s8_5}}* [[hnyu_ar_s8_5]]
*{{hnyu_ar_s8_6}}* [[hnyu_ar_s8_6]]
*{{hnyu_ar_s8_7}}* [[hnyu_ar_s8_7]]
*{{hnyu_ar_s9_1}}* [[hnyu_ar_s9_1]]
*{{hnyu_ar_s9_2}}* [[hnyu_ar_s9_2]]
*{{hnyu_ar_s9_3}}* [[hnyu_ar_s9_3]]
[[Хлызова Н.Ю.]] Педагогические условия формирования медиакомпетентности вторичной языковой личности
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=1144123]]*[ext[ссылка 2|https://new-disser.ru/_avtoreferats/01004914872.pdf]]
[[hnyu_ar]]
---
* '' Цель исследования ''заключается в теоретической разработке и обосновании педагогических условий формирования медиакомпетентности вторичной языковой личности, экспериментальной проверке их эффективности.
* ''Предмет исследования'' - педагогические условия формирования медиакомпетентности вторичной языковой личности.
* ''Объект исследования'' - процесс формирования медиакомпетентности вторичной языковой личности.
---
*{ {hnyu_ar_s3_6}}* *{ {hnyu_ar_s3_7}}*{ {hnyu_ar_s3_8}}
---
[[Научная новизна|hnyu_ar 1 nn]]
[[На защиту выносятся|hnyu_ar 1 nzv]]
*{{hnyu_ar_s4_3_0}}
*{{hnyu_ar_s4_3_1}}
*{{hnyu_ar_s4_3_2}}
*{{hnyu_ar_s5_1_1}}
*{{hnyu_ar_s5_1_2}}
*{{hnyu_ar_s5_1_3}}
''На защиту выносятся ''следующие положения:
1. Медиакомпетентность является базовой структурной составляющей вторичной языковой личности. Её структура включает три взаимосвязанных компонента: когнитивный, деятельностно-операционный, мотивационный.
2. Медиакомпетентность вторичной языковой личности представляет собой интегративную, стратегическую характеристику личности, состоящую из совокупности специальных готовностей и способностей, позволяющих личности взаимодействовать в едином мировом информационном пространстве, осуществлять межъязыковую и межкультурную коммуникацию на медиатизированном, опосредованном современными медиа, уровне.
3. Педагогические условия формирования медиакомпетентности вторичной языковой личности представляют собой комплекс, направленный на создание медиаобразовательной среды обучения как инновационного способа организации процесса обучения, характеризующейся опосредованными диалоговыми отношениями между субъектами разных культур и включающий в себя контентные, организационные, мотивационные условия.
4. Сформированность медиакомпетентности вторичной языковой личности определяется такими показателями как: когнитивный, деятельностно-операционный, мотивационный, в основе которых лежат критерии: готовность и способность, включающие знание, умение, отношение.
*{ {hnyu_ar_s7_4_1}}
*{ {hnyu_ar_s7_4_2}}
*{ {hnyu_ar_s7_4_3}}
*{ {hnyu_ar_s7_4_4}}
*{ {hnyu_ar_s8_1_1}}
*{ {hnyu_ar_s8_1_2}}
Автореферат диссертации по теме "Педагогические условия формирования медиакомпетентности вторичной языковой личности"
На правах рукописи
Хлызова Наталья Юрьевна
Педагогические условия формирования медиакомпетентности вторичной языковой личности
13.00.01 - Общая педагогика, история педагогики и образования
АВТОРЕФЕРАТ
диссертации на соискание учёной степени кандидата педагогических наук
Москва 2011
Работа выполнена в Государственном образовательном учреждении высшего профессионального образования «Иркутский государственный лингвистический университет»
Научный руководитель:
кандидат педагогических наук, доцент Иванова Людмила Анатольевна
Официальные оппоненты:
доктор педагогических наук, профессор Лямзин Михаил Алексеевич
кандидат педагогических наук, доцент Кабанова Ольга Яковлевна
Ведущая организация:
ГОУ ВПО «Московский государственный гуманитарный университет» им. М.А. Шолохова
Защита состоится 15 марта 2011 г. В 11.30 на заседании диссертационного совета Д.212.135.03 по присуждению учёной степени доктора и кандидата педагогических наук в ГОУ ВПО МГЛУ.
Адрес совета: 119 034, Москва, Остоженка, 38
С диссертацией можно ознакомиться в библиотеке ГОУ ВПО МГЛУ по адресу: 119 034, Москва, Остоженка, 38.
Автореферат разослан « 5" » февраля 2011 г.
Учёный секретарь диссертационного совета кандидат педагогических наук, доцент
И.А. Смольянникова
Реферируемая диссертация посвящена проблеме формирования медиакомпетентности вторичной языковой личности.
Создание единого мирового информационного пространства требует от человека умений грамотно оперировать медиаинформацией и осуществлять медиатизированное общение. В настоящее время медиакомпетентность становится одним из важнейших качеств личности, а её формирование - одной из актуальных проблем общей педагогики.
Основными составляющими единого мирового информационного пространства являются медиа, язык, культура. Именно языковое и культурное разнообразие данного пространства детерминирует формирование у человека не только медиакомпетентности, но и особых языковых и культурных готовностей и способностей, которые рассматриваются как «вторичная языковая личность» (И.И. Халеева). Вторичная языковая личность в современных условиях выступает залогом успешности человека в едином мировом информационном пространстве. Поэтому общепедагогической задачей образовательной системы становится формирование не только медиакомпетентности, но и формирование медиакомпетентности вторичной языковой личности: характеристики, способствующей функционированию в едином мировом информационном пространстве.
Учитывая современную потребность общества в медиакомпетентных гражданах, особенно важным становится выявление педагогических условий формирования медиакомпетентности вторичной языковой личности. Несмотря на то, что исследованию проблем медиакомпетентности (E.H. Бондаренко, A.B. Фёдоров, A.B. Шариков и др.) и вторичной языковой личности (Н.Д. Гальскова, И.И. Халеева, К.Н. Хитрик, А.Н. Щукин и др.) уделяется немало внимания, современная педагогическая наука не даёт ответа на вопрос какие педагогические условия могут способствовать успешному формированию медиакомпетентности вторичной языковой личности.
Таким образом, актуальность настоящего исследования обусловлена необходимостью определения условий формирования медиакомпетентности вторичной языковой личности и недостаточной теоретической и практической разработанностью данной проблематики.
Объект исследования - процесс формирования медиакомпетентности вторичной языковой личности.
Предмет исследования - педагогические условия формирования медиакомпетентности вторичной языковой личности.
Цель исследования заключается в теоретической разработке и обосновании педагогических условий формирования медиакомпетентности вторичной языковой личности, экспериментальной проверке их эффективности.
Гипотеза исследования: педагогический процесс формирования медиакомпетентности вторичной языковой личности будет эффективным, если создан и реализован следующий комплекс педагогических условий:
- контептпых, предполагающих введение медиаобразовательного компонента в содержание учебной дисциплины «Практический курс иностранного языка»; содержательное наполнение, предусматривающее регулярное и педагогически обоснованное применение медиа в образовательном процессе с целью формирования медиакомпетентности вторичной языковой личности;
- организационных, включающих вовлечение обучающихся в активную медиа деятельность в образовательном процессе в соответствии с их индивидуальным уровнем медиакомпетентности, выявленным в ходе педагогического мониторинга; систематическая диагностика уровней сформированности медиакомпетентности вторичной языковой личности педагогом и обучающимися на всех этапах её становления и коррекция в направлении совершенствования;
- мотивационных, основанных на становлении устойчивой мотивации обучающихся и педагогов к формированию медиакомпетентности вторичной языковой личности: переводе процесса формирования медиакомпетентности вторичной языковой личности в осознанное стремление обучающихся к самосовершенствованию в межкультурной коммуникации на межличностном и медиатизированном уровнях; педагогическом руководстве, направленном на объединение усилий всего педагогического коллектива образовательного учреждения на обновление содержания образования и применение современных информационно-коммуникационных технологий.
Реализация поставленной цели предполагает решение следующих задач исследования:
1. Теоретически обосновать необходимость и возможность формирования медиакомпетентности вторичной языковой личности.
2. Определить специфическую сущность понятия «медиакомпетентность вторичной языковой личности», установить его статус в категориальной и понятийной системе образования как интегративной стратегической характеристики личности.
3. Выявить педагогические условия формирования медиакомпетентности вторичной языковой личности, направленные на создание медиаобразовательной среды обучения, и экспериментально проверить их эффективность.
4. Разработать и проверить опытным путем показатели и уровни сформированности медиакомпетентности вторичной языковой личности.
Научная новизна диссертации определяется тем, что в ней впервые:
- на основе анализа современных тенденций развития информационного общества и концепций медиаобразования теоретически обоснована возможность и необходимость формирования медиакомпетентности вторичной языковой личности;
- определена специфическая сущность понятия «медиакомпетентность вторичной языковой личности», установлен его статус
в категориальной и понятийной системе образования как интегративной стратегической характеристики личности;
- выявлены и проверены опытным путем педагогические условия формирования медиакомпетентности вторичной языковой личности направленные на создание медиаобразовательной среды обучения;
- разработаны показатели и уровни сформированное™ медиакомпетентности вторичной языковой личности.
Теоретическая значимость результатов диссертационного исследования заключается в том, что:
- проанализированы и обобщены существующие в современном научном знании представления о медиакомпетентности личности как ведущей цели медиаобразования;
- доказана возможность и необходимость формирования медиакомпетентности у вторичной языковой личности;
- на основе концепции вторичной языковой личности (И.И. Халеева), обоснован феномен медиакомпетентности вторичной языковой личности, выявлены педагогические условия её формирования;
- результаты исследования направлены на дальнейшее развитие общепедагогических концептуальных положений о вторичной языковой личности и создают предпосылки для дальнейших теоретических и прикладных исследований формирования её медиакомпетентности.
Практическая значимость исследования состоит в том, что оно ориентирует педагогов образовательных учреждений на целенаправленное и организованное формирование медиакомпетентности вторичной языковой личности. В диссертации разработано и экспериментально проверено учебно-методическое сопровождение процесса формирования медиакомпетентности вторичной языковой личности на основе создания вебсайта образовательного учреждения как медиаобразовательной среды обучения, разработки рабочей программы по практическому курсу 2-го иностранного (английского) языка по специальности 031202 «Перевод и переводоведение» с комплектом дидактических материалов по формированию у обучающихся медиакомпетентности вторичной языковой личности, которые могут быть использованы в педагогической деятельности образовательных учреждений различных типов и видов.
Достоверность и надежность полученных научных результатов обеспечены методологическим подходом к разработке теоретической концепции исследования; сочетанием теоретического и экспериментального этапов исследования; количественного и качественного анализа полученных результатов; разнообразием методов и методик, соответствующих цели, предмету и задачам исследования; использованием методов математической статистики при обработке полученных данных.
Методологическую основу исследования составили:
1) компетентностный подход к результатам образования (В .А. Болотов,
A.А. Вербицкий, Н.Н. Нечаев, Д.И. Фельдштейн, А.В. Хуторской,
B.Д. Шадриков и др.);
2) деятельностный подход к развитию личности (П.Я. Гальперин, А.Н. Леонтьев, C.JI. Рубинштейн, Н.Н. Нечаев, Н.Ф. Талызина и др.);
3) личностно-ориентированный подход к организации процесса обучения (В.В. Давыдов, В.И. Загвязинский, Э.Ф. Зеер, В.В. Сериков и др.);
4) положения теории языковой и вторичной языковой личности
(Н.Д. Гальскова, Ю.Н. Караулов, И.И. Халеева, К.Н. Хитрик, А.Н. Щукин и
др-);
5) теория медиаобразования (А.А. Новикова, А.В. Фёдоров, S. Вагап, A. Silverblatt, и др.).
Для решения поставленных задач был использован комплекс научно-исследовательских методов (Э.А. Штульман): анализ научной литературы отечественных и зарубежных авторов по философии, педагогике, социологии, психологии, лингвистике, психолингвистике, лингвокультурологии, лингводидактике, диссертационных исследований, программных документов по изучаемой проблеме; обобщение отечественного и зарубежного опыта разработки проблемы формирования медиакомпетентности; обобщение опыта формирования вторичной языковой личности (в том числе личного опыта работы в средней школе Китая и высшем учебном заведении России в качестве преподавателя английского языка); анкетирование открытого и закрытого типов; интервьюирование; опрос; беседы с преподавателями и обучающимися; наблюдение как метод качественного анализа работы обучающихся с иноязычной медиаинформацией; организация опытно-экспериментальной работы и анализ полученных результатов.
База исследования: ГОУ ВПО «Иркутский государственный лингвистический университет». Всего в опытно-экспериментальной работе приняли участие 80 студентов. В ходе исследования также было проведено анкетирование 17 преподавателей английского языка.
Апробация результатов исследования осуществлялась на заседаниях кафедры педагогики ГОУ ВПО ИГЛУ, кафедры психологии и педагогической антропологии ГОУ ВПО МГЛУ, на международных научно-практических конференциях: «Проблемы международной интеграции национальных образовательных стандартов» г. Прага (Чехия) - г. Люксембург (Люксембург) -г. Париж (Франция) (23 - 27 апреля 2008 г.); «The internationalization of higher education in Europe» г. Будва (Черногория) (23 мая 2008 г.); «Современные информационные технологии и ИТ-образование» г. Москва (14 - 16 декабря 2009 г.); «Личность и общество: проблемы взаимодействия» г. Челябинск (23 апреля 2009); «Информационное поле современной России: практики и эффекты» г. Казань (2008, 2009 гг.); «Молодежь и наука: реальность и будущее» г. Невинномысск (2009, 2010 гг.); на всероссийских конференциях: «Молодежь и будущая Россия» г. Москва (14 - 15 февраля 2008 г.); «Средства массовой информации в современном мире. Молодые исследователи», г. Санкт-
Петербург (2008, 2009, 2010 гг.); «Молодежный научный поиск: личность в изменяющихся социальных условиях» г. Красноярск (15 марта 2008 г.); «Медиаобразование в развитии науки, культуры, образования и средств массовой коммуникации» г. Томск (2008, 2009 гг.); «Развитие внутрироссийской мобильности научных и научно-педагогических кадров на базе ведущих научно-образовательных центров в области социально-гуманитарных наук» г. Белгород (3 ноября 2010 г.); на региональных-. «Непрерывное образование в Западной Сибири: современное состояние и перспективы» г. Горно-Алтайск (3-7 июля 2008 г.); «Информационная культура молодежи: региональный аспект» г. Архангельск (22 - 24 октября 2009 г.); на собраниях Восточно-Сибирского центра развития педагогической науки и образования г. Иркутск (2006 - 2010 гг.), на ежегодных конференциях «Неделя науки ГОУ ВПО ИГЛУ» г. Иркутск (2003 - 2011 гг.).
Результаты диссертационного исследования используются в организации занятий по дисциплинам «Углубленный курс иностранного языка (английского)», «Практический курс второго иностранного языка (английского)», в научно-исследовательской работе студентов на кафедре американистики ГОУ ВПО «Иркутский государственный лингвистический университет», в курсе практических занятий по учебным дисциплинам «Английский язык», «Немецкий язык», «Китайский язык» в ГОУ ВПО «Иркутский государственный университет путей сообщения».
По теме диссертации опубликовано 28 работ, в том числе 3 в изданиях, определенных ВАК РФ. В 2009 г. получен индивидуальный грант для обучения во Всероссийской научной школе для молодежи «Медиаобразование и медиакомпетентность» (рук. - доктор пед. наук, профессор A.B. Фёдоров), проходившей при поддержке Федеральной целевой программы «Научные и научно-педагогические кадры инновационной России на 2009-2013 годы» (Мероприятие 2.1. «Организация и проведение всероссийских и международных молодежных научных конференций и школ» Министерства образования и науки РФ).
На защиту выносятся следующие положения:
1. Медиакомпетентность является базовой структурной составляющей вторичной языковой личности. Её структура включает три взаимосвязанных компонента: когнитивный, деятельностно-операционный, мотивационный.
2. Медиакомпетентность вторичной языковой личности представляет собой интегративную, стратегическую характеристику личности, состоящую из совокупности специальных готовностей и способностей, позволяющих личности взаимодействовать в едином мировом информационном пространстве, осуществлять межъязыковую и межкультурную коммуникацию на медиатизированном, опосредованном современными медиа, уровне.
3. Педагогические условия формирования медиакомпетентности вторичной языковой личности представляют собой комплекс, направленный на создание медиаобразовательной среды обучения как инновационного способа
организации процесса обучения, характеризующейся опосредованными диалоговыми отношениями между субъектами разных культур и включающий в себя контентные, организационные, мотивационные условия.
4. Сформированность медиакомпетентности вторичной языковой личности определяется такими показателями как: когнитивный, деятельностно-операционный, мотивационный, в основе которых лежат критерии: готовность и способность, включающие знание, умение, отношение.
Цель и задачи исследования определили следующую структуру диссертации: введение, две главы, заключение, список литературы, состоящий из 352 наименования, в том числе 47 на иностранном языке, 5 приложений, в которых представлены рабочая программа по практическому курсу 2-го иностранного (английского) языка, включающая медиаобразовательный компонент, образцы учебных и диагностирующих материалов.
Содержание работы
Во введении обосновывается выбор темы диссертационного исследования, её актуальность, анализируется степень разработанности в научной литературе, определяется объект, предмет исследования, формулируются цель, задачи, гипотеза и методологические основы исследования, аргументируется научная новизна, теоретическая и практическая значимость работы, излагаются положения, выносимые на защиту.
В первой главе исследования, «Теоретические основы формирования медиакомпетентности вторичной языковой личности», представлены результаты анализа содержания понятий «медиакомпетентность», «вторичная языковая личность», «языковая личность», «личность». Теоретически обосновано понятие «медиакомпетентность вторичной языковой личности» и педагогические условия его формирования.
В первом параграфе, «Сущность понятия «вторичная языковая личность»», изучен феномен вторичной языковой личности с позиции общей педагогики как личностная характеристика, формируемая в целенаправленном педагогическом процессе. Для определения его статуса был проведен анализ исследовательских работ, посвященных данной проблеме, который, в свою очередь, привел исследование к изучению ключевых понятий: «личность» и «языковая личность». Как показал анализ литературы (A.B. Петровский, И.П. Подласый, С.Г. Тер-Минасова, С.С. Фролов, В.Н. Шаховский и др.), понятие «личность» используется в разных научных областях, каждая из которых предлагает свою интерпретацию явления, что объясняется междисциплинарным и интеграционным характером данного понятия, его многозначностью.
Введение понятия личности в лингвистику означает её изучение через язык. В этом случае речь уже идет о языковой личности. Нами рассмотрены подходы, в рамках которых выдвигаются различные определения языковой
личности. Имеющиеся определения основаны на выделении того или иного аспекта изучаемого явления, наблюдается и разногласие исследователей по поводу термина, обозначающего понятие языковой личности. Наряду с термином «языковая личность» (Ю.Н. Караулов и др.), встречается «речевая личность» (Л.П. Кпобукова, Ю.Е. Прохоров), «коммуникативная личность» (Г.Н. Беспамятова, В.П. Конецкая, В.В. Красных), «лингвокулыурная личность» (В.А. Маслова) и др. Мы, вслед за большинством учёных, придерживаемся термина «языковая личность», поскольку считаем его более ёмким и многоаспектным, позволяющим избежать крайностей.
Языковая личность в процессе изучения иностранного языка определяется как «вторичная языковая личность», рассматриваемая как «совокупность способностей человека к иноязычному общению на межкультурном уровне, под которым понимается адекватное взаимодействие с представителями других культур» (И.И. Халеева). Обосновано, что с переходом к постиндустриальному информационному этапу развития для общества является характерным множественность взаимодействующих языков и культур, разнообразие текстовых форматов, иные формы общения. Поскольку национальное сознание формируется медиа, то традиционная цепочка «язык -культура» дополняется третьим элементом, «медиа». Взаимосвязанность и взаимообусловленность данных элементов проявляются в следующем: личность - представитель определенного этноса, овладевает языком другого общества, как неотъемлемым компонентом культуры. Культура своеобразна у каждого этноса и на сегодняшний день в большей степени формируется медиа, которые транслируют образцы поведения носителей языка, их стиль жизни, нравственные ценности иноязычного общества.
Концепция вторичной языковой личности, разработанная И.И. Халеевой и экстраполированная нами в область медиаобразования, позволяет приступить к реализации процесса формирования медиакомпетентности вторичной языковой личности, личности, готовой к осуществлению не только межъязыковой, межкультурной, но и медиатизированной коммуникации.
Для решения проблемы исследования наиболее продуктивным стал компетентностный подход, на основе которого нами предложена компетентностная модель вторичной языковой личности, включающая и такой её структурный компонент как медиакомпетентность (табл.1).
Таблица 1
Компетентностная модель вторичной языковой личности
Я 3 ^ Я Компетенции Знания, умения, отношения
Лингвиспшч еская Языковая знание языковых средств и правил оперирования ими в языке в соответствии с законами изучаемого иностранного языка.
Речевая умение реализовать языковые средства в различных
ситуациях на межкультурном уровне.
Коммуникативная знание стратегий коммуникации; умение организовать поведение адекватно задачам общения, которое представляет собой процесс передачи и приёма информации и регулирование отношений между его участниками разных языков и культур; готовность к межличностному и медиатизированному общению, к осуществлению непосредственной и опосредованной речевой деятельности с носителями изучаемого языка и культуры.
Культуролог ическая в сфере концептуальной картины мира изучаемого языка знание традиций, обычаев, обрядов страны изучаемого языка, стиля жизни, образа поведения, привычек носителей языка, национальной специфики картины мира; умение интерпретировать значения культурных концептов, соотносить языки и культуры; толерантное отношение к культурным ценностям собеседника
Медиа-компетентность в сфере медиатизирован-ной межъязыковой и межкультурной коммуникации знание языка медиа, принципов функционирования иноязычных медиа; умение осуществлять медиатизированную межъязыковую и межкультурную коммуникацию; готовность вступать в медиатизированное общение на иностранном языке как процесс передачи, приема медиа информации, а также как процесс опосредованного взаимодействия на межкультурком уровне.
Во втором параграфе, «Понятие «медиакомпетентность» как цель медиаобразования», рассмотрена сущность данного понятия с позиции цели медиаобразования как приоритетного направления педагогики XXI века (ЮНЕСКО), изучена история становления исследуемого понятия. Анализ работ отечественных и зарубежных педагогов (Е.А. Бондаренко, В.П. Борисенков, И.В. Жилавская, Н.В. Змановская, Н.Б. Кириллова, A.A. Новикова, A.B. Фёдоров, A.B. Шариков, A. Hart, R. Kubey, W. J. Potter, W. Schluderman, K. Tyner и др.) показал отсутствие единого определения понятия медиаобразования, которое рассматривается исследователями по-разному: как процесс формирования у личности определённых знаний и умений, как процесс развития личности средствами медиа, как область педагогической теории и практики, как практическая совместная деятельность педагога и обучающихся и т.п. Опираясь на изученные исследования, медиаобразование нами понимается как педагогическое явление, представляющее собой процесс образования, развития, формирования личности на материале медиа и через медиа.
С учётом вышесказанного, в диссертации были рассмотрены основные концептуальные подходы, изучающие медиаобразование с разных позиций, актуализирующие разные компоненты, и, как следствие, выдвигающие разные цели описываемого явления: «медиакомпетентность», «медиакультура», «медиаграмотность», «медиаобразованность», «медийная культура», «информационная культура», «информационная образованность».
Сложившаяся ситуация объясняется, на наш взгляд, рядом причин, среди которых: а) отсутствие единого понятия медиаобразования, б) разночтение, смешение терминов, в) объективная сложность интерпретации цели медиаобразования, вызванная наличием ряда концептуальных подходов. При этом нами доказано, что понятие медиакомпетентность имеет свою специфику, полностью соответствует современным требованиям информационного общества, приоритетному подходу в образовании и более точно определяет суть конечной цели медиаобразования.
Анализ исследований (В. Вебер, Р. Кьюби, A.B. Фёдоров, S.J. Вагап, D. Вааске, А. Silverblatt и др.) свидетельствует об отсутствии единого определения понятия медиакомпетентность. Трудности общепринятой трактовки изучаемого феномена можно объяснить интенсивными изменениями информационного плана в обществе, определением приоритетов, новых данных теории и практики педагогической науки, перспективных тенденций их развития, уровней связей. Всё, конечно, зависит от факторов и ограничений, которые учитываются и накладываются при дефиниции понятия. Исходя из специфики нашего исследования, мы определяем медиакомпетентность как значимое, стратегическое качество личности, состоящее из совокупности специальных знаний, умений, отношений, позволяющих личности полноценно функционировать в медиатизированном обществе, использовать весь спектр медиа в повседневной и профессиональной деятельностях.
Третий параграф, «Педагогические условия формирования медиакомпетентности вторичной языковой личности», посвящен выявлению необходимых и достаточных педагогических условий формирования изучаемой характеристики. Теоретически обосновано понятие «медиакомпетентность вторичной языковой личности». Важная роль изучаемого понятия в контексте всех уровней и направлений системы образования обусловила необходимость более глубокого проникновения в её внутреннее содержание: в компоненты, уровни, показатели сформированности. Исходя из понимания личности как целостной сущности, состоящей из таких компонентов как сознание, чувство, поведение, нами выделены компоненты медиакомпетентности вторичной языковой личности, а именно: когнитивный, действенно-операционный, мотивационный. Выявление структуры изучаемой характеристики позволило конкретизировать её понятие и рассмотреть процессуальный аспект. На основании чего нами выделена медиатизированная коммуникация и определены её этапы, отражающие актуализацию компонентов медиакомпетентности вторичной языковой личности. Установлена их взаимосвязь и взаимообусловленность. Как следствие, стало уместно вести речь об уровнях сформированности всех компонентов одновременно: начальном, среднем и продвинутом, которые соответствуют классической трёхуровневой системе владения иностранным языком. Выделенные уровни обусловили определение показателей сформированности компонентов
медиакомпетентности вторичной языковой личности: когнитивный, действенно-операционный, мотивационный (см. табл. 2).
Таблица 2
Уровни и показатели сформированное™ медиакомпетентности _вторичной языковой личности_
S Показатели
1 >• Когнитивный Операционный Мотивационный
Знание основных Умение осуществлять Не всегда положительное
категорий, понятий, поиск, сбор иноязычной отношение, хаотичные
истории информации, используя мотивы к работе с
медиаобразования; поисковые системы (Google, иноязычным
3 X л медийного спектра; Yandex, Yahoo, Rambler и медиатекстом, к
3 а закономерностей др.); передавать, получать медиатизированному
X процессов медиасообщения на общению; нечастые
функционирования иностранном языке; контакты с иноязычными
медиа в социуме; правильно и точно излагать медиатекстами; слабая
мысли в монологической и потребность в
диалогической форме в медиаобразовании, в
иноязычных web-чатах, медиакомпетентности.
форумах, порталах.
Знание Умение ориентироваться в Толерантное отношение,
закономерностей информационном осознанные мотивы
восприятия и пространстве; критически взаимодействия с
понимания анализировать иноязычный иноязычным
иноязычной медиатекст; давать медиатекстом, к
информации; собственную оценку; медиатизированному
дистинктивных интерпретировать позицию общению, организовать
признаков различных персонажей и задумку медиатизированное
жанров; языка медиа; автора; анализировать поведение адекватно
основ интерпретации медиаобраз, задачам опосредованного
>х X ^ авторского мира характеризовать поступки общения; частые
Q. создателя персонажей, их контакты с иноязычными
художественного психологическое состояние; медиатекстами; средняя
медиатекста; воспринимать латентный потребность в
принципов смысл медиатекста; медиаобразовании; в
квалифицированной создавать и распространять медиакомпетентности.
оценки иноязычного иноязычные медиатексты.
медиатекста;
программных средств,
предоставляющих
аудиальный контакт
(Бкуре, р1Р,
ТеатБреак и др.), их
основные принципы
работы.
Знание правил Умение взаимодействовать Позитивное отношение,
декодирования с иноязычными высокая
иноязычного медиатекстами и их мотивированность к
медиатекста; описания оценивание; противостоять работе с иноязычным
содержания, манипулятивному медиатекстом; к
ассоциаций, воздействию иноязычных медиатизированному
особенностей языка медиа; составлять общению; осознание
иноязычного независимые суждения необходимости
■S ь медиатекста; основных относительно иноязычного формирования
X X 09 законов и языка медиатекста на основе медиакомпетентности, в
S а. спектра медиатекстов; критической автономии; переживании
С основных интернет создавать собственный несоответствия
браузеров (Opera, медиапродукт на имеющегося её уровня с
Safari, Internet Explorer, иностранном языке установленными
Google Chrome, FireFox (языковой web портфолио). нормами; осознанное
и др.) их основные стремление к
принципы работы и самосовершенствованию в
возможности в со- медиаобразовательной
вершенствовании иноязычной деятельности.
лингвистической и
культурологической
компетентностей.
Решая третью задачу исследования мы, прежде всего, обратились к анализу содержания понятия «педагогические условия» и исследований, посвященных данному явлению» (С.С. Кашлев, И.П. Подласый, В.А. Сластёнин, Н.М. Яковлева и др.). Мы интерпретировали это понятие применительно к рассматриваемой нами проблеме и определили специально организуемые педагогические условия, способствующие формированию медиакомпетентности вторичной языковой личности студента, и разделили их на три основных типа: контентные, организационные и мотивационные.
Контентные условия предполагают обновление содержания дисциплины «Практический курс иностранного языка» за счёт включения медиаобразовательного компонента на основе отбора содержания учебного материала, направленного на формирование медиакомпетентности вторичной языковой личности и разработки рабочей программы. Данные условия характеризуют процесс формирования медиакомпетентности вторичной языковой личности как открытую систему, допускающую возможность её пересмотра, переосмысления, уточнения, дополнения, применение новейших достижений педагогической науки и изменений потребностей личности обучающихся.
Организационные условия раскрывают особенности содержательного и практического взаимодействия педагога и обучающихся в процессе реализации контента формирования медиакомпетентности вторичной языковой личности
на основе компетентностного, личностно-ориентированного и деятельностного подходов; определённых принципов: целенаправленности, системности и последовательности, научности, эффективности, сознательности и активности. Данный тип условий обеспечивает регулярность контроля над процессом формирования медиакомпетентности вторичной языковой личности.
Мотивационные условия являются необходимой базой реализации предыдущих условий, предполагающие готовность педагога и обучающихся взаимодействовать с целью формирования медиакомпетентности вторичной языковой личности. Данные условия способствует обучению обучающихся самоконтролю, самоанализу.
Представленная классификация условий является обобщённой и позволяет в целом оценить характер того или иного условия, необходимого для рассматриваемого процесса. Выявленные условия неизбежно интегрируются друг с другом, образуя комплексное единство разнообразных по своей природе педагогических обстоятельств, направленных на организацию медиаобразовательной среды обучения для реализации процесса формирования медиакомпетентности вторичной языковой личности.
Вторая глава исследования, «Реализация педагогических условий формирования медиакомпетентности вторичной языковой личности обучающихся», посвящена описанию опытно-экспериментальной работы по проверке эффективности педагогических условий формирования изучаемой характеристики.
В первом параграфе, «Диагностика исходного состояния медиакомпетентности вторичной языковой личности обучающихся», представлен констатирующий эксперимент, цель которого состояла в выявлении исходного состояния медиакомпетентности вторичной языковой личности обучающихся для установления необходимости внедрения выявленных педагогических условий.
Диагностика уровня сформированности медиакомпетентности вторичной языковой личности обучающихся осуществлялась с помощью таких методов как: тестирование, анкетирование, наблюдение, беседа, опрос, дискуссия, презентация творческих работ, эссе, метод экспертных оценок. Диагностика проходила в традиционной и опосредованной формах, в том числе через созданный нами вебсайт (http://media-area.ucoz.com). Для получения наиболее объективного результата большинство диагностических процедур были проведены в ходе включения обучающихся в активную медиа деятельность, стимулирующую проявление ими искомой характеристики.
Проведённый констатирующий эксперимент показал, что:
а) в образовательном процессе вуза отсутствует комплекс необходимых и достаточных для формирования медиакомпетентности вторичной языковой личности педагогических условий. Результаты анкетирования показали слабую реализацию педагогических условий формирования медиакомпетентности вторичной языковой личности обучающихся. Полученные данные
сопоставлялись с итогами бесед и наблюдений. Если условия 2, 4 частично проявлялись, студенты привлекались к медиаобразовательной деятельности, применялся ряд медиа средств в образовательном процессе, но они были направлены лишь на повышение наглядности и интереса обучающихся к занятию, а формирование медиакомпетентности вторичной языковой личности не предусматривалось. Выделенные условия 1, 3, 5, 6 полностью отсутствовали;
б) в большинстве случаев студенты характеризовались низким уровнем сформированности медиакомпетентности вторичной языковой личности (см. таблицу 3).
Таблица 3
Результаты диагностики исходного уровня сформированности медиакомпетентности вторичной языковой личности
Группа Уровень сформированности медиакомпетентности вторичной языковой личности(%)
Начальный Средний Продвинутый
Кол-во % Кол-во % Кол-во %
чел. чел. чел.
ЭГ 19 47.5 14 35 7 17.5
КГ 21 52.5 11 27.5 8 20
Второй параграф исследования, «Внедрение педагогических условий формирования медиакомпетентности вторичной языковой личности обучающихся», посвящен описанию формирующего эксперимента, который состоял в создании педагогических условий формирования искомой характеристики. Задача данного этапа исследования состояла в проверке общей гипотезы исследования, а именно в подтверждении того, что при наличии и соблюдении всех выявленных педагогических условий, в совокупности составляющих медиаобразовательную среду обучения, можно обеспечить формирование медиакомпетентности вторичной языковой личности обучающихся. Оценив возможности каждой из форм обучения с точки зрения внедрения результатов исследования, мы пришли к выводу о наибольшей эффективности дисциплины «Практический курс иностранного языка», так как в рамках изучения данной обязательной для всех обучающихся дисциплины, открывается возможность формирования медиакомпетентности вторичной языковой личности.
В ходе формирующего эксперимента, занятия в ЭГ были организованы в соответствии с выявленными условиями, в КГ занятия осуществлялись традиционно. С целью создания контентных условий мы дополнили и конкретизировали содержание базовой рабочей программы выбранной дисциплины медиаобразовательным компонентом. В результате была получена скорректированная программа, предусматривающая регулярное и педагогически обоснованное применение медиа в образовательном процессе.
Создание контентных условий осуществлялось с помощью внедрения организационных. Перед нами стояла задача вовлечь обучающихся в активную медиа деятельность в процессе обучения в соответствии с их индивидуальным уровнем медиакомпетентности, выявленным в ходе педагогического мониторинга. Для решения этой задачи нами был создан вебсайт, позволяющий применять различные виды интерактивной иноязычной коммуникация (форум, блог, телемост, пресс-конференции и др.) и вовлекать обучающихся в единое мировое информационное пространство. Мы побуждали их к критическому анализу фактов, интерпретации медиаобраза персонажей, определению собственной позиции относительно рассматриваемой проблемы и др. В ходе аналитической деятельности студенты повышали медиакомпетентность, учились неординарно мыслить, высказывать свою точку зрения, отстаивать свою позицию на изучаемом языке. Разработка собственного сайта способствовала вовлечению обучающихся в активную медиа деятельность и систематической диагностике уровней сформированное™ медиакомпетентности вторичной языковой личности обучающихся преподавателем и обучающимися на всех этапах её становления, их корректированию в направлении совершенствования.
Организация мотивационных условий состояла в формировании готовности обучающихся и педагогов к участию в медиатизированной межъязыковой и межкультурной коммуникации. Результаты анкетирования педагогов свидетельствовали об их высокой степени желания использовать медиа в образовательном процессе. В то же время выяснилось, что некоторые преподаватели кафедры не видели разницы между медиаобразованием и использованием информационных технологий в учебном процессе. С целью привлечения коллег к процессу формирования медиакомпетентности вторичной языковой личности, для объединения усилий всего педагогического коллектива по обновлению содержания образования были проведены тренинги, мастер-классы, обзорные лекции, посвящённые вопросам медиаобразования и направленные на повышение медиакомпетентности педагогов. Данные меры позволили нам актуализировать проблему формирования медиакомпетентности вторичной языковой личности обучающихся и повысить общий уровень медиакомпетентности преподавателей, и создать ранее выявленное условие. Свидетельством сказанного являются результаты, полученные в ходе применения методов диагностики педагогических условий формирования медиакомпетентности вторичной языковой личности (см. ниже).
Мотивация студентов повышалась за счёт вовлечения их в единое мировое информационное пространство, широкого применения медиа на занятиях, разнообразия форм обучения, предполагавших выполнение таких заданий как: фоторепортаж, выпуск газетного номера, съемка короткометражного видео и т.д. Средствами медиа мы организовывали аутентичную опосредованную коммуникацию через виртуальные путешествия в страну изучаемого языка, осмотр достопримечательностей, изучение реалий,
традиций, культуры государства, занятий-телемостов. После проведения таких видео занятий мы отметили возросшую мотивацию обучающихся к овладению средствами медиа коммуникации.
Важная роль в формировании медиакомпетентности вторичной языковой личности обучающихся отводилась процессам самосовершенствования и самопознания. С этой целью была разработана серия практических заданий и самостоятельных работ, при проведении которых применялись следующие методы и приемы: диагностика, самодиагностика, самоанализ, игровые упражнения, творческие задачи. Для расширения представлений обучающихся о себе, как о медиакомпетентности вторичной языковой личности, мы использовали метод языкового шеЬ-портфолио, который является средством неформального оценивания достижений обучающихся по предмету, стимулом к самосовершенствованию в межкультурной коммуникации на межличностном и медиатизированном уровнях.
В третьем параграфе исследования, «Анализ результатов опытно-экспериментальной работы по проверке педагогических условий формирования медиакомпетентности вторичной языковой личности», обобщались результаты организации педагогических условий и динамика формирования компонентов искомой характеристики.
Проверка эффективности разработанных педагогических условий проводилась в течение двух лет: предварительное исследование на выявление компонентов медиакомпетентности вторичной языковой личности было проведено в 2006-2007 учебном году, формирующий эксперимент был организован в 2007-2008 учебном году. На каждом этапе опытно-экспериментальной работы нами решались определённые задачи. По мере прохождения обучающимися ЭГ и КГ программы курса, нами проводились диагностические срезы, которые позволяли отслеживать процесс создания условий формирования искомой характеристики личности и динамику изменений обучающихся в отношении проявления ими медиакомпетентности вторичной языковой личности. Оценка результатов данного исследования проводилась на основе разработанных показателях и критериях (см. таблица 2).
Для оценки статистической значимости полученных результатов мы выбрали методику математического подсчета результатов: определялись выборочное среднее арифметическое значение (х), ошибка среднего арифметического (ш), достоверность различий по критерию Стьюдента, другие необходимые для статистического анализа переменные. Достоверность полученных коэффициентов проверялась по стандартным статистическим таблицам, были выбраны три уровня значимости (р<0,05; р<0,01; р<0,001). Полученные данные были подвергнуты компьютерной обработке. Результаты исследования обобщены в таблицах, представлены в виде графиков и диаграмм.
Анализ и обобщение полученных данных позволили сделать вывод что, создание необходимых и достаточных педагогических условий, направленных
на организацию медиаобразовательной среды обучения в образовательном процессе с целью формирования медиакомпетентности вторичной языковой личности, ведет к положительной динамике формирования исследуемой характеристики. Для студентов ЭГ характерны более высокие показатели медикомпетентности вторичной языковой личности. Итоговая диагностика свидетельствует об увеличении количества обучающихся с положительной динамикой формирования всех компонентов искомой характеристики. Незначительное количество обучающихся с начальным уровнем сформированности медиакомпетентности вторичной языковой личности, возросшее число с продвинутым уровнем доказывает эффективность предложенных педагогических условий (см. таблицу 4).
Таблица 4
Результаты итоговой диагностики уровня сформированности медиакомпетентности вторичной языковой личности
Группа Уровень сформированности медиакомпетентности вторичной языковой личности (%)
Начальный Средний Продвинутый
Кол-во чел. % Кол-во чел. % Кол-во чел. %
ЭГ 2 5 7 17.5 31 77.5
КГ 11 27.5 20 50 9 22.5
Отметим значительные изменения, произошедшие в области отношения студентов. В ЭГ и КГ наблюдался увеличение мотивов, лежащих в основе медиакомпетентности вторичной языковой личности. Достоверность различий по ^критерию Стьюдента между исходным и итоговым срезами в ЭГ составила 31,5 (<0,001), в КГ- 14,8 (<0,001).
Низкие показатели у участников эксперимента КГ получены по когнитивному показателю. Большие затруднения вызвали вопросы по истории медиаобразования. В целом для КГ характерно незнание языка медиа, медиа технологий, закономерностей функционирования СМИ. Не изменился действенно-операционный показатель в КГ. Низкий результат объясняется невысокой степенью вовлечения обучающихся в медиа деятельность. У студентов КГ вызывает затруднения анализ позиции героев, интерпретация идеи автора медиатекста, выстраивание логичных суждений, противостояние манипулятивному влиянию и др. В то же время средний результат их знаний в области медиаобразования увеличился. В этом отношении необходимо отметить устойчивость положительной динамики по всем показателям как в ЭГ, так и в КГ. При этом выявлено, что достоверность различий по ^критерию Стьюдента между исходным и итоговым срезами в ЭГ выражена более значительно-35,3 (<0,001), чем в КГ - 13,1(<0,001).
Таким образом, опытное обучение подтвердило выдвинутую гипотезу о возможности формирования медиакомпетентности вторичной языковой личности обучающихся при наличии и соблюдении всех выявленных педагогических условий, в совокупности составляющих медиаобразовательную среду обучения.
В заключении диссертации изложены теоретические и экспериментальные результаты исследования и сформулированы выводы:
1. Проведенный теоретический анализ позволяет рассматривать медиакомпетентность как базовую структурную составляющую вторичной языковой личности, состоящей из когнитивного, деятельностно-операционного, мотивационного компонентов.
2. Медиакомпетентность вторичной языковой личности представляет собой интегративную, стратегическую характеристику личности, состоящую из совокупности специальных готовностей и способностей, позволяющих личности взаимодействовать в едином мировом информационном пространстве, осуществлять межъязыковую и межкультурную коммуникацию на медиатизированном, опосредованном современными медиа, уровне.
3. Выявленные педагогические условия: контентные, организационные, мотивационные способствуют успешному формированию медиакомпетентности вторичной языковой личности
4. Целенаправленное формирование всех компонентов медиакомпетентности вторичной языковой личности стимулирует познавательную самостоятельность и творческую активность обучающихся в едином мировом информационном пространстве.
Содержание диссертации отраженно в следующих публикациях автора:
Публикации в журналах и изданиях, определенных ВАК РФ
```
1. Хлызова, Н. Ю. Цель медиаобразования в лингвистическом вузе на современном этапе развития общества [Текст] / Н. Ю. Хлызова // Вестник Якутского государственного университета им. М.К. Аммосова. - Якутск: ЯГУ, 2009. - Т.6. - №2. - С. 69-73.
2. Хлызова, Н. Ю. Феномен «медиакомпетентность языковой личности» в образовании [Текст] / Н. Ю. Хлызова // Журнал «Вестник Поморского университета». Серия «Гуманитарные и социальные науки», 2010. - №5. - С. 74-80.
3. Хлызова, Н. Ю. Медиаобразование и медиакомпетентность в эпоху информационного общества в образовании [Текст] / Н. Ю. Хлызова // Вестник Томского государственного университета. Серия «Психология и педагогика», 2011.-№1.-С. 188-192.
Научные статьи и материалы конференций
4. Хлызова, Н. Ю. Медиаобразование как педагогическое понятие в отечественных и зарубежных педагогических исследованиях [Текст] / Н. Ю. Хлызова // Проблемы современного образования - 4: Вестник ИГЛУ. Сер. Педагогика и психология / под ред. проф. О. А. Лапиной. - Иркутск: ИГЛУ, 2007. - С. 35-40.
5. Хлызова, Н. Ю. Мультимедиа как ведущее средство медиаобразования при обучении английскому языку студентов лингвистического вуза [Текст] / Н. Ю. Хлызова // Современные наукоемкие технологии: материалы III научной международной конференции. - №5. -2008. - С. 132-134.
6. Хлызова, Н. Ю. Средства массовой коммуникации и средства массовой информации как основные понятия медиаобразования [Текст] / Н. Ю. Хлызова // Средства массовой информации в современном мире / Под ред. Л.П. Громовой; сост. O.A. Никитина. - СПб., 2008. - С. 288-290.
7. Хлызова, Н. Ю. Мультимедиа и его возможности в организации процесса обучения студентов английскому языку [Текст] / Н. Ю. Хлызова // Педагогическая теория, эксперимент, практика. - Иркутск: ИПКРО, 2008. - С. 275-286.
8. Хлызова, Н. Ю. Интерпретация основных понятий медиаобразования «средства массовой информации» и «средства массовой коммуникации» в отечественных и зарубежных психолого-педагогических исследованиях [Текст] / Н. Ю. Хлызова / Россия в современном мире / Под ред. Академика РАН Ю.С. Пивоварова. - М.: ИНИОН РАН, 2009. - Т.6. - С.1058- 1065. (Депонированная форма роботы)
9. Хлызова, Н. Ю. Семантические различия понятий «СМК» и «СМИ» [Текст] / Н. Ю. Хлызова // Информационное поле современной России: практики и эффекты: материалы V международной науч.-практич. конференции / Под ред. В.З. Гарифуллина. - Казань: Изд-во Казан, гос. ун-та, 2008. - С. 226-232.
10. Хлызова, Н. Ю. Научно-исследовательская работа студентов лингвистического университета как способ внедрения медиаобразования в учебный процесс [Текст] / Н. Ю. Хлызова // Непрерывное образование в Западной Сибири: современное состояние и перспективы. - Горно-Алтайск: РИО ГАГУ, 2008. - С.251-253.
11. Хлызова, Н. Ю. Организация научно-исследовательской работы студентов лингвистического университета в контексте медиаобразования (из опыта работы кафедры педагогики) [Текст] / Н. Ю. Хлызова // Молодежный поиск: личность в изменяющихся социальных условиях / Ред. Е.В. Гордиенко. - Красноярск: Краснояр. гос. пед. уни-т им. В.П. Астафьева, 2008. - Часть 2. - С. 160-165.
12. Хлызова, Н. Ю. Интерпретация понятий «компетентность» и «компетенция»: к проблеме систематизации научной терминологии
медиаобразования [Текст] / Н. Ю. Хлызова // Медиаобразование: от теории - к практике. - Томск: НОУ ВПО ТИИТ, 2008. - 4.2. - С. 154-161.
13. Хлызова, Н. Ю. Научно-исследовательская работа кафедры педагогики ИГЛУ в проблемном поле медиаобразования [Текст] / Н. Ю. Хлызова // сб. науч. статей. - Иркутск: ИГЛУ, 2008. - С. 47-54.
14. Хлызова, Н. Ю. К вопросу о целеосмыслении и целепринятии медиаобразования [Текст] / Н. Ю. Хлызова // Молодежь и наука: реальность и будущее: материалы Международной научной конференции. - Невинномысск: НИЭУП, 2009. - Том I: Педагогика. - 2009. - С.555-556.
15. Хлызова, Н. Ю. Медиакомпетентность личности как способ защиты от манипулятивного воздействия СМИ в условиях информационно-сетевого общества [Текст] / Н. Ю. Хлызова // Средства массовой информации в современном мире. - Спб.: С.-Петерб. гос. ун-т, 2009. - С. 307-309.
16. Хлызова, Н. Ю. Мультимедийные возможности в формировании и развитии медиакомпетентности вторичной языковой личности [Текст] / Н.Ю. Хлызова // Современные проблемы гуманитарных и естественных наук. - Иркутск: ИГЛУ, 2009. - С. 196-198.
17. Хлызова, Н. Ю. Роль мультимедиа в решении задачи формирования медиакомпетентности вторичной языковой личности [Текст] / Н.Ю. Хлызова // Личность и общество: проблемы взаимодействия: материалы Международной научной конференции. - Челябинск: Издательство «1-Альянс», 2009. - С. 234-239.
18. Хлызова, Н. Ю. К вопросу о целях медиаобразования: теоретический аспект [Текст] / Н. Ю. Хлызова // Педагогическая теория, эксперимент, практика: Сб. статей. - Иркутск: ИПКРО, 2009. - С. 97-105.
19. Хлызова, Н. Ю. Медиатизированное общение как современная тенденция формирования медиакомпетентности вторичной языковой личности студента [Текст] / Н. Ю. Хлызова // Информационная культура молодежи: региональный аспект. - Северодвинск: Помор, гос. ун-т им. М.В. Ломоносова, 2009,- С. 66-76.
20. Хлызова, Н. Ю. Медиакомпетентность вторичной языковой личности: перспективное направление исследований современных проблем медиаобразования и лингводидактики [Текст] / Н. Ю. Хлызова // Медиаобразование и медиакомпетентность: Всерос. науч. школа: сб. науч. тр. -Таганрог: Изд-во Таганрог, гос. пед. ин-та, 2009. - С. 203-212.
21. Хлызова, Н. Ю. О месте понятия «медиакомпетентность вторичной языковой личности» в категориальном аппарате медиаобразования [Текст] / Н. Ю. Хлызова // Информационное поле современной России: практики и эффекты: Материалы VI международной науч.-практич. - Казань: Изд-во Казан, гос. ин-та, 2009. - С. 379-386.
22. Хлызова, Н. Ю. Понятие «медиакомпетентность» в сопоставлении со смежными с ним категориями и феноменами педагогической действительности [Текст] / Н. Ю. Хлызова // Медиаобразование молодежи в
информационном обществе». - г. Томск: ТИИТ, 2009. - С. 349-350.
23. Хлызова, Н. Ю. Информационные технологии в формировании медиакомпетентности языковой личности обучающихся / Современные информационные технологии и ИТ-образование: материалы IV международной научно-практической конференции г. Москва (14 - 16 декабря 2009 г.).
24. Хлызова, Н. Ю. Зарубежные СМИ в процессе становления медиакомпетентности языковой личности [Текст] / Н. Ю. Хлызова // Средства массовой информации в современном мире. - Спб.: С.-Петерб. гос. ун-т, 2010. -С. 131-133.
25. Хлызова, Н. Ю. Медиаобразовательная среда обучения в процессе формирования медиакомпетентности языковой личности [Текст] / Н.Ю. Хлызова, JI.A. Иванова // Вестник Иркутского регионального отделения Академии наук высшей школы России // Научный и общественно-информационный журнал. - Иркутск, 2010. -№1 (16). - С.76-80.
26. Хлызова, Н. Ю. Формирование медиакомпетентности языковой личности как приоритетное направление развития педагогической науки // Материалы науч.-практич. конфр. «Современные проблемы гуманитарных и естественных наук». -Иркутск: гос. линг. у-нт, 2010. - С. 179-181.
27. Khlyzova, N. J. Multimedia as leading means of média éducation at teaching English to linguistic university students [Текст] / N. J. Khlyzova // International journal of experimental éducation ISSN 1996-3947 - №3,2008. - P. 93.
28. Khlyzova, N. J. Media éducation in formation of language person média compétence [Текст] / N. J. Khlyzova // NIEUP, 2010. - Vol. I: Pédagogie. - 2010. - P. 477-480.
Библиотека авторефератов и диссертаций по педагогике http://nauka-pedagogika.com/pedagogika-13-00-01/dissertaciya-pedagogicheskie-usloviya-formirovaniya-mediakompetentnosti-vtorichnoy-yazykovoy-lichnosti#ixzz6K2mBd1mV
```
''Объект исследования'' - процесс формирования медиакомпетентности вторичной языковой личности.
''Предмет исследования'' - педагогические условия формирования медиакомпетентности вторичной языковой личности.
'' Цель исследования ''заключается в теоретической разработке и обосновании педагогических условий формирования медиакомпетентности вторичной языковой личности, экспериментальной проверке их эффективности.
''Научная новизна'' диссертации определяется тем, что в ней впервые:
- на основе анализа современных тенденций развития информационного общества и концепций медиаобразования теоретически обоснована возможность и необходимость формирования медиакомпетентности вторичной языковой личности;
- определена специфическая сущность понятия «медиакомпетентность вторичной языковой личности», установлен его статус
в категориальной и понятийной системе образования как интегративной стратегической характеристики личности;
- выявлены и проверены опытным путем педагогические условия формирования медиакомпетентности вторичной языковой личности направленные на создание медиаобразовательной среды обучения;
- разработаны показатели и уровни сформированности медиакомпетентности вторичной языковой личности.
''На защиту выносятся следующие положения: ''
1. Медиакомпетентность является базовой структурной составляющей вторичной языковой личности. Её структура включает три взаимосвязанных компонента: когнитивный, деятельностно-операционный, мотивационный.
2. Медиакомпетентность вторичной языковой личности представляет собой интегративную, стратегическую характеристику личности, состоящую из совокупности специальных готовностей и способностей, позволяющих личности взаимодействовать в едином мировом информационном пространстве, осуществлять межъязыковую и межкультурную коммуникацию на медиатизированном, опосредованном современными медиа, уровне.
3. Педагогические условия формирования медиакомпетентности вторичной языковой личности представляют собой комплекс, направленный на создание медиаобразовательной среды обучения как инновационного способа
организации процесса обучения, характеризующейся опосредованными диалоговыми отношениями между субъектами разных культур и включающий в себя контентные, организационные, мотивационные условия.
4. Сформированность медиакомпетентности вторичной языковой личности определяется такими показателями как: когнитивный, деятельностно-операционный, мотивационный, в основе которых лежат критерии: готовность и способность, включающие знание, умение, отношение.
<center> ''Содержание работы'' </center>
''Во введении '' обосновывается выбор темы диссертационного исследования, её актуальность, анализируется степень разработанности в научной литературе, определяется объект, предмет исследования, формулируются цель, задачи, гипотеза и методологические основы исследования, аргументируется научная новизна, теоретическая и практическая значимость работы, излагаются положения, выносимые на защиту.
''В первой главе'' исследования, «Теоретические основы формирования медиакомпетентности вторичной языковой личности», представлены результаты анализа содержания понятий «медиакомпетентность», «вторичная языковая личность», «языковая личность», «личность». Теоретически обосновано понятие «медиакомпетентность вторичной языковой личности» и педагогические условия его формирования.
''В первом параграфе'', «Сущность понятия «вторичная языковая личность»», изучен феномен вторичной языковой личности с позиции общей педагогики как личностная характеристика, формируемая в целенаправленном педагогическом процессе. Для определения его статуса был проведен анализ исследовательских работ, посвященных данной проблеме, который, в свою очередь, привел исследование к изучению ключевых понятий: «личность» и «языковая личность». Как показал анализ литературы (А.В. Петровский, И.П. Подласый, С.Г. Тер-Минасова, С.С. Фролов, В.Н. Шаховский и др.), понятие «личность» используется в разных научных областях, каждая из которых предлагает свою интерпретацию явления, что объясняется междисциплинарным и интеграционным характером данного понятия, его многозначностью.
Введение понятия личности в лингвистику означает её изучение через язык. В этом случае речь уже идет о языковой личности. Нами рассмотрены подходы, в рамках которых выдвигаются различные определения языковой
личности. Имеющиеся определения основаны на выделении того или иного аспекта изучаемого явления, наблюдается и разногласие исследователей по поводу термина, обозначающего понятие языковой личности. Наряду с термином «языковая личность» (Ю.Н. Караулов и др.), встречается «речевая личность» (Л.П. Клобукова, Ю.Е. Прохоров), «коммуникативная личность» (Г.Н. Беспамятова, В.П. Конецкая, В.В. Красных), «лингвокультурная личность» (В.А. Маслова) и др. Мы, вслед за большинством учёных, придерживаемся термина «языковая личность», поскольку считаем его более ёмким и многоаспектным, позволяющим избежать крайностей.
Языковая личность в процессе изучения иностранного языка определяется как «вторичная языковая личность», рассматриваемая как «совокупность способностей человека к иноязычному общению на межкультурном уровне, под которым понимается адекватное взаимодействие с представителями других культур» (И.И. Халеева). Обосновано, что с переходом к постиндустриальному информационному этапу развития для общества является характерным множественность взаимодействующих языков и культур, разнообразие текстовых форматов, иные формы общения. Поскольку национальное сознание формируется медиа, то традиционная цепочка «язык -культура» дополняется третьим элементом, «медиа». Взаимосвязанность и взаимообусловленность данных элементов проявляются в следующем: личность - представитель определенного этноса, овладевает языком другого общества, как неотъемлемым компонентом культуры. Культура своеобразна у каждого этноса и на сегодняшний день в большей степени формируется медиа, которые транслируют образцы поведения носителей языка, их стиль жизни, нравственные ценности иноязычного общества.
@@color:red;Концепция вторичной языковой личности, разработанная И.И. Халеевой и экстраполированная нами в область медиаобразования, @@ позволяет приступить к реализации процесса формирования медиакомпетентности вторичной языковой личности, личности, готовой к осуществлению не только межъязыковой, межкультурной, но и медиатизированной коммуникации.
[[Иванова Г.А.]] Педагогические основы формирования языковой личности посредством культуры иноязычного чтения
[ext[ссылка автореферат интернет|https://yadi.sk/i/W9ELNPkDhC0J6Q]]
[ext[ссылка автореферат локальная|D:\BI\a_ivanova_ga.pdf]]
* {{iga_ar_s5_2}}*[[iga_ar_s5_2]]
* {{iga_ar_s5_3}}*[[iga_ar_s5_3]]
* {{iga_ar_s5_4}}*[[iga_ar_s5_4]]
* {{iga_ar_s5_4*}}*[[iga_ar_s5_4*]]
---
* {{iga_ar_s6_1}}*[[iga_ar_s6_1]]
* {{iga_ar_s6_2}}*[[iga_ar_s6_2]]
* {{iga_ar_s6_3}}*[[iga_ar_s6_3]]
* {{iga_ar_s6_4}}*[[iga_ar_s6_4]]
---
* {{iga_ar_s7_1}}*[[iga_ar_s7_1]]
* {{iga_ar_s7_2}}*[[iga_ar_s7_2]]
* {{iga_ar_s7_3}}*[[iga_ar_s7_3]]
* {{iga_ar_s7_4}}*[[iga_ar_s7_4]]
* {{iga_ar_s7_5}}*[[iga_ar_s7_5]]
---
* {{iga_ar_s8_1}}*[[iga_ar_s8_1]]
* {{iga_ar_s8_2-1}}*[[iga_ar_s8_2-1]]
** {{iga_ar_s8_2-2}}*[[iga_ar_s8_2-2]]
** {{iga_ar_s8_2-3}}*[[iga_ar_s8_2-3]]
** {{iga_ar_s8_2-4}}*[[iga_ar_s8_2-4]]
** {{iga_ar_s8_2-5}}*[[iga_ar_s8_2-5]]
---
** {{iga_ar_s9_3}}*[[iga_ar_s9_3]]
** {{iga_ar_s9_4}}*[[iga_ar_s9_4]]
---
* {{iga_ar_s10_4-1}}*[[iga_ar_s10_4-1]]
** {{iga_ar_s10_4-2}}*[[iga_ar_s10_4-2]]
** {{iga_ar_s10_4-3}}*[[iga_ar_s10_4-3]]
----
** {{iga_ar_s11_1-1}}*[[iga_ar_s11_1-1]]
** {{iga_ar_s11_1-2}}*[[iga_ar_s11_1-2]]
** {{iga_ar_s11_1-3}}*[[iga_ar_s11_1-3]]
* {{iga_ar_s11_3}}*[[iga_ar_s11_3]]
* {{iga_ar_s11_4}}*[[iga_ar_s11_4]]
* {{iga_ar_s11_5}}*[[iga_ar_s11_5]]
* {{iga_ar_s11_6}}*[[iga_ar_s11_6]]
---
* {{iga_ar_s12}}*[[iga_ar_s12]]
---
* {{iga_ar_s13}}*[[iga_ar_s13]]
---
* {{iga_ar_s14}}*[[iga_ar_s14]]
---
* {{iga_ar_s15}}*[[iga_ar_s15]]
---
* {{iga_ar_s16}}*[[iga_ar_s16]]
Таблица No1. (стр 17)
| Фазы деятельности | Цeль | Основа ориентировочного действия | Учебные действия | Уровни культуры чтения |
|Мотивационно-побудительный этап |Формирование ЯЛ на основе перехода от внешне-неустойчивой мотивации к внутренне устойчивой базирующейся на «личностном смысле» |Осмысленное восприятие реального уровня чтения и подготовка к усвоению нового материала |Перцептивно-репродуктивные упражнения (презентативные, имитативные. подстановочные. трансформационные). Приемы ЛКА. |Использование перевода при чтении формирование и формyлированиe мысли на родном языке с последующим переводом. Начальный уровень культуры чтения. |
|Аналитико-синтетический этап |Формирование ЯЛ с учетом оптимального использования человеческого фактора, индивидуального воздействия иностранного языка на личность |Формирование индивидуальных навыков и умений извлечения информации из незнакомого текста |Репродуктивные упражнения, репродуктивно-продуктивные на основе текста, предречевые. Приемы ККА. |Чтение с формированием мысли на родном языке и последующим формулированием мысли па изучаемом языке. Средний уровень культуры чтения. |
|Реализующе-контрольный этап |Формирование ЯЛ на основе модели обучения с целью становления личностно-образующего потенциала иностранного языка при воспитании культуры иноязычного чтения.|Формирование навыков и умений извлечения информации из незнакомого текста с ее применением в монологической и диалогической речи |Продуктивно-творческие упражнения; речевые упражнения; ролевые игры и дискуссии на основе текста |Применение беспереводного чтети в рамках профессионального тезауруса, формирование и формулирование мысли посредством изучаемого языка. Высокий уровень культуры чтения. |
* { {iga_ar_s17}}*[[iga_ar_s17]]
---
* {{iga_ar_s18}}*[[iga_ar_s18]]
---
* {{iga_ar_s19}}*[[iga_ar_s19]]
---
* {{iga_ar_s20_1}}*[[iga_ar_s20_1]]
* {{iga_ar_s20_2}}*[[iga_ar_s20_2]]
Таблица №2.
|Группы |>| Уровень культуры чтения |
|~| Начальный уровень (до эксперимента) | Высокий уровень (после эксперимента) |
|>|>| 1 -ый этап |
|Экспериментальная | 76 | 81 |
|Контрольная | 60 | 71 |
|>|>| 2 -ый этап |
|Экспериментальная | 81 | 85 |
|Контрольная | 60 | 72 |
|>|>| 3 -ый этап |
|Экспериментальная | 85 | 88 |
|Контрольная | 67 | 75 |
* { {iga_ar_s20_3}}*[[iga_ar_s20_3]]
* {{iga_ar_s20_4}}*[[iga_ar_s20_4]]
* { {iga_ar_s20}}*[[iga_ar_s20]]
* {{iga_ar_s21_1}}*[[iga_ar_s21_1]]
* {{iga_ar_s21_2}}*[[iga_ar_s21_2]]
Таблица №3
|Уровень культуры чтения |Начальный уровень (до эксперимента) |Высокий уровень (после эксперимента) |
|Разница между экспериментальной и контрольной группами (в %) | 18 | 12 |
* { {iga_ar_s21_3}}*[[iga_ar_s21_3]]
* {{iga_ar_s21_4}}*[[iga_ar_s21_4]]
* {{iga_ar_s21_5}}*[[iga_ar_s21_5]]
* {{iga_ar_s21_6}}*[[iga_ar_s21_6]]
* { {iga_ar_s21}}*[[iga_ar_s21]]
---
* {{iga_ar_s22}}*[[iga_ar_s22]]
---
* { {iga_ar_s23}}*[[iga_ar_s23]]
[[Иванова Г.А.]] Педагогические основы формирования языковой личности посредством культуры иноязычного чтения
[ext[ссылка автореферат интернет|https://yadi.sk/i/W9ELNPkDhC0J6Q]]** [ext[ссылка автореферат локальная|D:\BI\a_ivanova_ga.pdf]]
[[iga_ar]]
---
!! '' @@color:red;Педагогические основы формирования языковой личности @@ @@color:green; посредством культуры иноязычного чтения @@''
@@color:red;Цель исследования @@ - разработка педагогических основ формирования языковой личности в процессе становления личностно-образующего потенциала иностранного языка в рамках трехступенчатой деятельностной модели обучения.
@@color:green; Предмет исследования @@ - процесс формирования языковой личности посредством культуры иноязычного чтения.
Объект исследования - формирование языковой личности в контексте образовательного потенциала иностранного языка.
PrimYu
* { {iga_ar_s7_3}}*[[iga_ar_s7_3]]
* { {iga_ar_s7_4}}*[[iga_ar_s7_4]]
* { {iga_ar_s7_5}}*[[iga_ar_s7_5]]
---
* [[На защиту выносятся|iga_ar 1 nzv]]
* [[Научная новизна|iga_ar 1 nn]]
* {{iga_ar_s10_4-1}}
** {{iga_ar_s10_4-2}}
** {{iga_ar_s10_4-3}}
** {{iga_ar_s11_1-1}}
** {{iga_ar_s11_1-2}}
** {{iga_ar_s11_1-3}}
На защиту выносятся следующие основные положения работы:
• Теоретический анализ педагогических основ формирования языковой личности, включающий наряду с педагогическим философский и психологический аспекты, убедительно показывает необходимость становления языковой личности в контексте коммуникативно-деятельностного подхода посредством культуры иноязычного чтения.
• Модель обеспечивает становление языковой личности в контексте межкультурного общения, что достигается навыками культуры
иноязычного чтения на профессиональном и страноведческом материале.
• ''Модель обеспечивает становление языковой личности с учетом межпредметных связей на основе тщательно подобранного материала для чтения по юридической специальности и одновременно истории законотворчества в зарубежных странах''.
• Модель обучения основана на личностном подходе с максимальным учетом индивидуальных особенностей каждого обучаемого. Сформированная культура чтения выступает для субъекта как структура жизненных смыслов, своего рода правил самоорганизации своего внутреннего мира.
''ОСНОВНОЕ СОДЕРЖАНИЕ РАБОТЫ''
''Во введении '' раскрываются проблемы исследования и актуальность темы, определяются цель, объект, предмет исследования, формулируются гипотеза и методологические основы работы, обозначается новизна и практическая значимость, дается обоснование выносимым на защиту положениям.
''В первой главе'' - «Педагогический аспект языковой личности в условиях реформирования образования» приведены наиболее известные трактовки понятия «языковая личность» в педагогической, психолого-педагогической, философской литературе. Анализ понятия «языковая личность» раскрывается через функцию воспитания личности нового типа.
С этой целью дается теоретико-методологический анализ философских аспектов восприятия текста (М. М. Бахтин, М. К. Мамарда-
швили); рассматривается психология речевой деятельности (Л. С. Выготский, А. Н. Леонтьев, Л. С. Рубинштейн); исследуются механизмы творческого мьппления (Л. Ю. Доблаев, Т. М. Дридзе, И. С. Якиманская).
В нашей модели воспитание культуры чтения предстает, прежде всего, как набор технологии передачи готового, отчужденного от динамики развития культуры материала, превращенного в семиотическую форму учебной информации для предстоящей самостоятельной профессиональной деятельности и более широко - социального бытия текущих событий самой языковой личности. В резз'льтате культура и личность оказывается вне процессов развития. Необходимость преодоления такого состояния заставила пересмотреть некоторые категории педагогики, переосмыслить социальный опыт в контексте формирования активной жизненной позиции личности специалиста. Одной из актуальных задач педагогики является разработка таких моделей обучения, которые обеспечивают условия полноценного развития личности человека на разных ступенях непрерывного образования.
На наш взгляд, лингводидактическая модель язьпсовой личности обладает большей разрешающей диагностической силой. Критериями уровня диагностики развития языковой личности являются такие качества, как использование средств общения, владение приемами организации текстовой информации, степень овладения жанрово-структурньши элементами языка.
Таким образом, понятие «языковая личность» homo loquens употребляется чаще для обозначения родового свойства homo sapiens вообще, «...языковая личность...выражается в чертах характера и стереотипах поведения». (И. Б. Храпченко).
На достигнутом нынче уровне научных представлений о языковой личности она выступает как многокомпонентный, структурно-упорядоченный набор языковых способностей, умение производить и воспринимать речевые произведения.
Структурная модель языковой личности строится по пересекающимся осям - виды речевой деятельности (аудирование, говорение, чтение и письмо); уровни языка (фонетика, грамматика, лексика) и степень владения компонентами данного уровня (Ю. Н. Караулов).
@@color:red; Языковую личность также можно сформулировать как «эталон-анализатор, диагностирующий состояние языковой развитости конкретного индивидуума. Компоненты словосочетания языковая личность с терминологической точки зрения указывают, во-первых, на коммуникативно-деятельностную, а, во-вторых, на индивидуально-дифференцирующую характеристику индивидума. ... подлежит изучению индивидуально-деятельностное поле.» (Т. Г. Винокур).@@
Используя анализ и подробное изучение интегрирование данных, полученных учеными данных специальностей, мы считаем необходимым отметить аспект формирования языковой личности в контексте междисциплинарного анализа текста. Вот наиболее известные трактовки понятия текст;
- продукт духовной культуры человеческой цивилизации и конкретного народа (Л.Н. Михеева 1990; С.А. Хватов 1990; Е.М. Верещагин, В.Г. Костомаров 1983);
- текст как средство языкового воздействия (А.Н. Васильева 1990), как средство реализации основных функций языка и речи (АА. Леонтьев 1974);
как принцип интерпретации социокультурного содержания иноязычного текста (Н.П. Доценко 1989; П.В. Кулибина 1986; Е.Г. Ростова 1989; В. В. Сафонова 1996).
Не менее интересный ретроспективный анализ текста выполнен Т.Л. [[Калентьевой|Калентьева]]: «С выбора внутреннего слова начинается построение высказывания во внутренней речи...».
Сказанное выше позволяет смотреть на формирование языковой личности как на педагогическую проблему. Изучение языка в связи с мышлением, его когнитивной сферой, поведением, культурой, коммуникацией @@color:brown;обусловила антропологического (основанного на личности) принципа в контексте деятельностного подхода@@.
«Человек имеет двойной мир, в который входит и мир непосредственно отражаемых предметов, и мир образов, объектов, отношений и качеств, которые обозначаются словами. Таким образом, слово - особая форма отражения действительности» (А. Р. Лурия), ''С помощью языка можно обращаться к знаниям и опыту других людей, а также передавать им свой опыт и свои знания.''
Трудно переоценить роль и значение культуры в становлении и развитш! язьпсовой личности. Нельзя не согласиться с утверждением Е. Ф. Тарасова о том, что «богатство сознания человека зависит от объема присвоенной им культуры». Воспитание культуры иноязычного чтения помогает студентам приобрести ''навыки культуры работы с текстом'', высокий уровень рефлексивных способностей, умение управлять информацией (текстовой деятельностью).
''Предметом текстовой деятельности является интенция коммуникативного намерения, а продуктом - умозаключение в процессе интерпретации, восприятия текста и сам текст в процессе его производства''.
Результат текстовой деятельности выражается в осуществлении смыслового контакта (Т. М. Дридзе).
Текстовая деятельность протекает по определенному плану (текстовой программе), отражающей этапы решения коммуникативной задачи и иерархически организующей смысловую структуру текста (А. А. Леонтьев). Ее подробное рассмотрение вполне соотносится с трехступенчатым системно-деятельностным подходом, применимым к воспитанию культуре иноязычного чтения.
Последний компонент текстовой деятельности - субъект, он же языковая личность - является самым сложным и неразработанным в этом вопросе Качество усвоения будет определяться уровнем обученности и жизненного опыта обучаемых, включающий в себя практический, профессиональный, интеллектуальный и эмоциональный опыт (М. Г. Вавилова).
Итак, успешное понимание и индивидуальное преобразование учебных текстов состоится при одном условии: когда оно становится предметом рефлексии каждого обучаемого в ситуации учения-обучения. Система рефлексивного мышления и рефлексивного сознания представляют собой совершенно особую форму с антропологической предпосылкой: рефлексивное мышление и рефлексивное сознание формируют личностный способ деятельности в каждом отдельном случае Обучаемым последовательно выполняется объективно выделенная структура работы; затем она (структура) интериоризируется и вращивается внутрь сознания. Этот элемент составляет основу способностей обучаемых. Анализ различных подходов к формированию языковой личности позволил обосновать оптимальные пути положительного воздействия иностранного языка на становление всесторонне развитой, гармоничной и активной личности.
''Во второй главе'' «Экспериментальное обоснование воспитания языковой личности при обучении иноязычному чтению» мы предложили модель создания личности, построенную на принципе управления учебно-познавательной деятельностью. Модель опирается на общепринятую трехфазную структуру. Поэтапно дается описание констатирующего и формирующего эксперимента, проводится математическая обработка данных, обосновываются выводы.
Материалом по управлению учебно-познавательной деятельностью посредством культуры чтения служат тексты - иерархически организованные смысловые структуры (А. А Леонтьев). Этапы усвоения текстовой деятельности соответствуют общепринятой трехфазной структуре. В зависимости от уровня усвоения материала компоненты, входящие в эти три фазы, могут быть вариативными, не нарушая ее структуры в целом.
Первой фазе соответствует ориентировка - ознакомление с коммуникативной задачей текста и ее «присвоение» (постановка проблемы, ожидание результата).
Второй фазе соответствует планирование - составление коммуникативного плана реализации текста, решение коммуникативные задач (понимание главной мысли, логических связей, выделение смыслового ядра).
В процессе третьей фазы происходит реализация и контроль решения коммуникативных задач - формулирование текста при производстве или понимание и переработка содержания при его восприятии.
В целом данная модель соединяет текстовую деятельность с речевой, представляя языковую личность в ее становлении, развитии, движении от одного уровня владения языком к другому.
Таблица No1. (стр 17)
| Фазы деятельности | Цeль | Основа ориентировочного действия | Учебные действия | Уровни культуры чтения |
|Мотивационно-побудительный этап |Формирование ЯЛ на основе перехода от внешне-неустойчивой мотивации к внутренне устойчивой базирующейся на «личностном смысле» |Осмысленное восприятие реального уровня чтения и подготовка к усвоению нового материала |Перцептивно-репродуктивные упражнения (презентативные, имитативные. подстановочные. трансформационные). Приемы ЛКА. |Использование перевода при чтении формирование и формyлированиe мысли на родном языке с последующим переводом. Начальный уровень культуры чтения. |
|Аналитико-синтетический этап |Формирование ЯЛ с учетом оптимального использования человеческого фактора, индивидуального воздействия иностранного языка на личность |Формирование индивидуальных навыков и умений извлечения информации из незнакомого текста |Репродуктивные упражнения, репродуктивно-продуктивные на основе текста, предречевые. Приемы ККА. |Чтение с формированием мысли на родном языке и последующим формулированием мысли па изучаемом языке. Средний уровень культуры чтения. |
|Реализующе-контрольный этап |Формирование ЯЛ на основе модели обучения с целью становления личностно-образующего потенциала иностранного языка при воспитании культуры иноязычного чтения.|Формирование навыков и умений извлечения информации из незнакомого текста с ее применением в монологической и диалогической речи |Продуктивно-творческие упражнения; речевые упражнения; ролевые игры и дискуссии на основе текста |Применение беспереводного чтети в рамках профессионального тезауруса, формирование и формулирование мысли посредством изучаемого языка. Высокий уровень культуры чтения. |
Целью нашей модели становится «выращивание личностного потенциала человека, воспитание его способностей и адекватной деятельности в предстоящих предметных и социальных ситуациях, а содержанием - все то, что обеспечивает движение к этой цели» (Гинецианский В.И.).
На 1 этапе «выращивания личностного потенциала» шло преимущественное формирование мотивационного компонента. Используются тексты соответствующей сложности, проблемного характера, вызывающие активность студентов. Применяются имитационно-репродуктивные упражнения. В результате формируется начальный уровень культуры иноязычного чтения - при этом формирование и формулирование мысли происходит на родном языке с последующим переводом.
На 2 этапе учитывается противоречие в учебном процессе между коллективной системой обучения и индивидуальным характером присвоения знаний. Отдельно для каждого обучаемого очерчивается объем материала и предполагаемую цель по окончании данного курса. Репродуктивно-продуктивные, предречевые упражнения ярко отражают данный этап (фазу) развития языковой личности. Студенты воспринимают текст с переводом на родной языке, но формулируют мысли уже на изучаемом языке. Достигается средний уровень культуры иноязычного чтения.
На 3 этапе используется личностно-развивающий диапазон иностранного языка. У студентов сформированы конкретные умения понимания текстов по своей специальности (юридической), умение составлять запросы о личности преступника и деловые письма. На данном этапе обучаемые получают навыки самостоятельного поиска информации. Продуктивно творческие, ролевые и дискуссионно-речевые упраж-
нения развивают языковою личность до умения учиться - «непрерывному процесса создания человеком новых умственных конструктов, объединенных генеральными понятиями и идеями» (Ильясов И. И.). Определенная часть студентов формулирует мысли на иностранном языке. Достигается высокий уровень культуры иноязычного чтения.
Согласно модели формирования языковой личности испытуемыми явились слушатели первого куpca Якутского филиала Московского юридического института Общее количество принявших участие в эксперименте составило 90 слушателей. Возраст испытуемых - от 18 лет до 21 года. Период обучения - два семестра. При проведении экспериментального обучения использовалась методика моделирования учебной деятельности, включающая два пути экспериментальный и контрольный. Результаты путей обучения сопоставлялись.
С целью сравнительного анализа экспериментального исследования были уравнены следующие условия: 1) число учебных занятий 2) общая продолжительность времени каждого занятия 3) количество испытуемых в обоих группах 4) методика проведения срезов.
Варьируемыми условиями эксперимента были следующие:
1) в экспериментальной группе воспитание культуры иноязычного чтения с целью формирования языковой личности проводилось на основе трехступенчатой модели обучения, в контрольной - на основе традиционной модели
2) в экспериментальной группе было организовано целенаправленное индивидуальное воспитание культуры чтения, развитие эвристических качеств личности, в контрольной группе работа велась традиционным путем
3) при формировании межэтнических и межкультурных качеств языковой личности в экспериментальной группе, в отличие от контроль-
*{{iga_ar_s20_1}}*[[iga_ar_s20_1]]
*{{iga_ar_s20_2}}*[[iga_ar_s20_2]]
*{{iga_ar_s20_3}}*[[iga_ar_s20_3]]
*{{iga_ar_s20_4}}*[[iga_ar_s20_4]]
ной были использованы приемы сравнительно-сопоставительного, лингво-контрастивного и культуроведческого компаративного анализа с целью воспитания культуры иноязычного чтения.
Контрольные срезы после первого и второго семестров явились проверкой эффективности формирования языковой личности. Их суммарный результат можно представить в виде следующей таблицы:
Таблица №2.
|Группы |>| Уровень культуры чтения |
|~| Начальный уровень (до эксперимента) | Высокий уровень (после эксперимента) |
|>|>| 1 -ый этап |
|Экспериментальная | 76 | 81 |
|Контрольная | 60 | 71 |
|>|>| 2 -ый этап |
|Экспериментальная | 81 | 85 |
|Контрольная | 60 | 72 |
|>|>| 3 -ый этап |
|Экспериментальная | 85 | 88 |
|Контрольная | 67 | 75 |
В результате сопоставления результатов эксперимента выявляется, что эффективность предложенной нами модели развития культуры чтения и основанной на ней формирования языковой личности в экспериментальной группе выше, чем в контрольной. На 1-ом этапе данный показатель равен 76% и 60% на начальном уровне в экспериментальной и контрольной группах соответственно; 81% и71% появился в экспериментальной контрольной группах на высоком уровне культуры чтения. На 2-м этапе начальный уровень в экспериментальной группе оценивается в 81%, а в контрольной остается на уровне 60%. Высокий уровень
* {{iga_ar_s21_1}}*[[iga_ar_s21_1]]
* {{iga_ar_s21_2}}*[[iga_ar_s21_2]]
Таблица №3
|Уровень культуры чтения |Начальный уровень (до эксперимента) |Высокий уровень (после эксперимента) |
|Разница между экспериментальной и контрольной группами (в %) | 18 | 12 |
* { {iga_ar_s21_3}}*[[iga_ar_s21_3]]
* {{iga_ar_s21_4}}*[[iga_ar_s21_4]]
* {{iga_ar_s21_5}}*[[iga_ar_s21_5]]
* {{iga_ar_s21_6}}*[[iga_ar_s21_6]]
достигает 85% в экспериментальной фуппе и 72% в контрольной. На 3-ем этапе экспериментальная группа начинает с 85%, контрольная добивается 67%. На высоком уровне культуры чтения экспериментальная группа достигает 88%. а контрольная 75%.
В конечном счете абсолютная разница в уровнях сформированности культуры чтения представляется так:
Таблица №3
|Уровень культуры чтения |Начальный уровень (до эксперимента) |Высокий уровень (после эксперимента) |
|Разница между экспериментальной и контрольной группами (в %) | 18 | 12 |
Итак, на начальном уровне экспериментальная группа опережает контрольную в развитии навыков культурного чтения на 18%, а на высоком уровне разница между ними равняется 12%. Проведенная экспериментальная работа полностью подтвердила состоятельность гипотезы относительно оптимального учета индивидуального воздействия иностранного языка на личность, отразила качественный рост по всем рассматриваемым параметрам.
''В заключение'' диссертации подведены итоги исследования, сформулированы главные выводы, полученные в результате теоретического анализа проблемы и опытно- экспериментальной работы
-на первом этапе трехступенчатой модели формирования языковой личности обеспечивается переход от внешне-неустойчивой мотивации к внутренне устойчивой на основе построения «личностного смысла». Таким путем достигается осознанный подход каждого обучаемого к индивидуальной учебной деятельности.
-на втором этапе оптимально учитываются индивидуальные особенности влияния иностранного языка на личность, перед каждым отдельным обучаемым ставится конкретная цель по воспитанию культуры иноязычного чтения.
-на последнем, исполнительном этапе реализуется экспериментальная модель по формированию языковой личности при воспитании культуры иноязычного чтения. Личностно-образующий потенциал иностранного языка формируется через контекст иноязычной культуры с учетом индивидуальной личностно-смысловой картины текста. Целью данного этапа является сочетание государственных стандартов и индивидуального начала в процессе воспитания культуры иноязычного чтения.
''Основные положения диссертации отражены в следующих публикациях автора'':
```
1. Обучение просмотровому чтению как виду речевой деятельности (в неязыковом вузе). // В сб. Аграрный сектор и подготовка экономических кадров на Севере. М.: изд. МСХА 1998.
2. Некоторые проблемы отбора упражнений при обучении чтению в неязыковом вузе. // В сб. Актуальные проблемы межкультурной коммуникации. Якутск. 1999.
3. Сборник текстов по английскому языку для слушателей I курса очного отделения. Юридический институт МВД России, Якутский филиал.
4. Роль тестирования в становлении языковой личности в процессе воспитания культуры иноязычного чтения. // Материалы II Региональной научной конференции «Педагогические проблемы образования и культуры в контексте ХХТ века». Владивосток, 2000
```
<center>
ИВАНОВА Галина Аполлоновна
ПЕДАГОГИЧЕСКИЕ ОСНОВЫ ФОРМИРОВАНИЯ ЯЗЫКОВОЙ ЛИЧНОСТИ ПОСРЕДСТВОМ КУЛЬТУР» ИНОЯЗЫЧНОГО ЧТЕНИЯ
Автореферат
Подписано в печать 20 f<- (-'й- Формат 60x84/16 Бумага офс Печать офсетная Печ. л 1.25. Тираж 100 экз. Шдательство ЯГУ. 677007, г Якутск, ул Белинского. 58
Особый интерес в нашем исследовании представляет блок проблем, связанный со становлением личностнообразующего потенциала иностранного языка: а) личностнообразующие проблемы (которые традиционно объединяют воспитательные, образовательные и развивающие цели обучения); б) профессионально-ориентированные проблемы -в нашем случае это профессионально-педагогическая цель воспитания культуры чтения на иностранном языке; в) формирование языковой личности - личности начитанной, компетентной в своей области знания, с высоким уровнем рефлексивных способностей.
__Дидактический аспект__ понятия «языковая личность» уходит корнями в старую риторическую школу, где культивировалась практика проверки человека в разговоре. В XIX столетии утвердилось нерасторжимое единство родного языка с личностью обучаемого: родной язык так сросся с личностью каждого, что учить оному значит вместе с тем и развивать личность (Буслаев Ф. И)
Сформированное академиком В. В. Виноградовым, невостребованное долгие годы понятие «языковая личность» приобретает в наши дни особую актуальность, консолидиру''я''* подходы нескольких наук: педагогики, психологии, философии, психолингвистики. Значительное количество публикуемых в настоящее время работ трактуют язык как деятельность, ставят прагматические цели овладения языком. Яркий пример последних тенденций - составление специальных антропных
```
* в оригинале - консолидирую (может консолидируют )
```
словарей, отвечающих требованиям узких отраслей знаний. В процессе усвоения информации происходит формирование языковой личности, расширения кругозора, культуры ассоциативного мышления, повышение уровня рефлексии и общей эрудиции.
Языковая личность будет реализована в творческих опытах, если личности есть что говорить и зачем говорить; есть начитанность и жизненная осведомленность, нравственные и этические представления. Посредством культуры иноязычного чтения индивид обеспечивает себе определенный тезаурусный уровень, ''увеличивает свой интеллектуальный'' и духовный багаж.
''В нашем исследовании'' формирование языковой личности ''является одновременно и целью, и фактором образовательного опыта посредством культуры иноязычного чтения ''. Его теоретической основой служат фундаментальные исследования, посвященные природе педагогического знания (В В Краевский), целостности образовательного процесса (В. С. Ильин, И Я Лернер. М. С Скаткин), личностно-развивающим функциям (Е В Бондаревская, В В. Горщкова, Т.Н. Малькова). специфике педагогической деятельности (В Н. Загвязинский. И А Колесникова, В. А. Сластенин) Г. С Батищев. М Полани. Р. Эванс обогатили функциональные компоненты формирования языковой личности - очертили прагматический аспект языка, значимый для утилитарных целей.
В своем исследовании ''мы трактуем языковую личность как '' такую ''концептуальную позицию'', которая ''выполняет системообразующую функцию, позволяющую осмысливать и усваивать знания о языке, его структуре, и функционировании на основе формирования и развития '' культуры ''иноязычного чтения''. При этом мы не ставим своей задачей формировать личность с заданными свойствами, а создаем условия для
полноценного проявления и дальнейшего развития личностных функций обучаемых. В отличие от опыта когнитивного, который из предметной сферы переводится в форму совместной деятельности педагога и обучаемого, опыт личностный является субъектным началом индивида, исследованием ситуации на предмет его потребностной значимости. Учебная задача решается на личностном уровне, когда она переживается как жизненная проблема, что, в свою очередь, мобилизует и развивает структуры интеллекта. Нет, однако, нужды доказывать, что и содержание предмета усвоения, и способ его задания, и форма функционирования в реальном учебном процессе в том виде, каком они существуют сегодня, мало соответствуют механизмам личностного развития. А потому личностно формирующая функция больше декларируется, чем реально выполняется.
Развивая это положение, мы исходим из следующего: ''реально предстающее перед субъектом содержание образования складывается из @@color:red;дидактически переработанного@@ социально-культурного опыта (на примере нашего исследования главный «инструмент» при этом - культура иноязычного чтения), и личностного опыта, приобретаемого на основе субъект-субъектного общения, рефлексии и смыслотворчества''.
''Объект исследования'' - формирование языковой личности в контексте образовательного потенциала иностранного языка.
''Предмет исследования'' - процесс формирования языковой личности посредством культуры иноязычного чтения.
''Цель исследования'' - разработка педагогических основ формирования языковой личности в процессе становления ''личностно-образующего потенциала иностранного языка ''в рамках трехступенчатой деятельностной модели обучения.
в основу исследования положена гипотеза, что формирование языковой личности осуществляется, если: 1) обеспечивается переход от внешне неустойчивой к внутренне-устойчивой мотивации на основе формирования «личностного смысла»; 2) используется индивидуальное воздействие иностранного языка на личность; 3) реализуется модель обучения с учетом личностно-образуюшего потенциала иностранного языка на основе теории речевой деятельности.
В соответствии с целью и гипотезой исследования выдвигаются следующие задачи:
-на основе теоретического анализа литературы по теме исследования сформулировать теоретические положения, помогающие разработать трехступенчатую деятельностную модель формирования языковой личности посредством культуры чтения на иностранном языке;
-реализовать модель воспитания языковой личности посредством культуры иноязычного чтения;
-определить факторы, являющиеся причиной разных уровней сформированности культуры иноязычного чтения;
-разработать методические рекомендации по предложенной модели обучения.
''Научная новизна и теоретическая значимость'' исследования состоят в разработке концептуальных положений в связи с повышением статуса преподавания иностранных языков в новых условиях кросс-культурной коммуникации; выделены и теоретически обоснованы педагогические условия индивидуального влияния воспитательного потенциала иностранного языка; показана принципиальная возможность качественного изменения языковой личности в зависимости от уровня культуры иноязычного чтения; учебный процесс построен таким образом, что предметно-когнитивный опыт является составной частью более целого личностного опыта.
''Практическая значимость исследования'' заключается в разработке и реализации модели формирования языковой личности посредством воспитания культуры иноязычного чтения. Указанная трехступенчатая деятельностная модель может быть использована в личностно-ориентированном обучении, так как учитывает индивидуальное воздействие иностранного языка на личность. Разработаны рекомендации по применению навыков культуры иноязычного чтения в различных социальных, пространственно-временных ситуациях.
Игнатова И.Б. [[Обучение грамматическому строю русской речи иностранных студентов-филологов как основа формирования языковой личности будущего учителя]]
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=837842]]
[[Материал из дисерткат|Дисерткат_ИгнатоваИБ]]
* [ext[ссылка в библиотеку pdf|file:///D:/BI/dis_ignatova_ib.pdf]]
* [ext[ссылка в библиотеку docx|file:///D:/BI/dis_ignatova_ib.docx]]
*[ext[ссылка Интернет BI|https://yadi.sk/i/gy978MfF9kkPQw]]
---
*{{iib_dis_s11_2}}*[[iib_dis_s11_2]]
*{{iib_dis_s11_3}}*[[iib_dis_s11_3]]
*{{iib_dis_s11_4}}*[[iib_dis_s11_4]]
*{{iib_dis_s11_5}}*[[iib_dis_s11_5]]
*{{iib_dis_s12_1_1}}*[[iib_dis_s12_1_1]]
*{{iib_dis_s12_1_2}}*[[iib_dis_s12_1_2]]
*{{iib_dis_s12_1_3}}*[[iib_dis_s12_1_3]]
*{{iib_dis_s12_1_4}}*[[iib_dis_s12_1_4]]
*{ {iib_dis_s12_1}}*[[iib_dis_s12_1]]
*{{iib_dis_s12_2_0}}*[[iib_dis_s12_2_0]]
*{{iib_dis_s12_2_1}}*[[iib_dis_s12_2_1]]
*{{iib_dis_s12_2_2}}*[[iib_dis_s12_2_2]]
*{{iib_dis_s12_2_3}}*[[iib_dis_s12_2_3]]
*{{iib_dis_s12_2_4}}*[[iib_dis_s12_2_4]]
*{ {iib_dis_s12_2}}*[[iib_dis_s12_2]]
*{{iib_dis_s13_1_1}}*[[iib_dis_s13_1_1]]
*{{iib_dis_s13_1_2}}*[[iib_dis_s13_1_2]]
*{{iib_dis_s13_1_3}}*[[iib_dis_s13_1_3]]
*{{iib_dis_s13_1_4}}*[[iib_dis_s13_1_4]]
*{{iib_dis_s13_1_5}}*[[iib_dis_s13_1_5]]
*{ {iib_dis_s13_1}}*[[iib_dis_s13_1]]
*{{iib_dis_s14_2}}*[[iib_dis_s14_2]]
*{{iib_dis_s14_3_0}}*[[iib_dis_s14_3_0]]
*{{iib_dis_s14_3_1}}*[[iib_dis_s14_3_1]]
*{{iib_dis_s14_3_2}}*[[iib_dis_s14_3_2]]
*{{iib_dis_s15_1_1}}*[[iib_dis_s15_1_1]]
*{{iib_dis_s15_1_2}}*[[iib_dis_s15_1_2]]
*{{iib_dis_s15_1_3}}*[[iib_dis_s15_1_3]]
*{{iib_dis_s15_2_0}}*[[iib_dis_s15_2_0]]
*{{iib_dis_s15_2_1}}*[[iib_dis_s15_2_1]]
*{{iib_dis_s15_2_2}}*[[iib_dis_s15_2_2]]
---
*{{iib_dis_s16_1_1}}*[[iib_dis_s16_1_1]]
*{{iib_dis_s16_1_2}}*[[iib_dis_s16_1_2]]
*{{iib_dis_s16_1_3_0}}*[[iib_dis_s16_1_3_0]]
*{{iib_dis_s16_1_3_1}}*[[iib_dis_s16_1_3_1]]
*{{iib_dis_s16_1_3_2}}*[[iib_dis_s16_1_3_2]]
*{{iib_dis_s16_1_4}}*[[iib_dis_s16_1_4]]
*{{iib_dis_s16_1_5}}*[[iib_dis_s16_1_5]]
---
*{{iib_dis_s17_1_1}}*[[iib_dis_s17_1_1]]
*{{iib_dis_s17_2_0}}*[[iib_dis_s17_2_0]]
*{{iib_dis_s17_2_1}}*[[iib_dis_s17_2_1]]
*{{iib_dis_s17_2_2}}*[[iib_dis_s17_2_2]]
*{{iib_dis_s17_2_3}}*[[iib_dis_s17_2_3]]
*{{iib_dis_s17_2_4}}*[[iib_dis_s17_2_4]]
*{{iib_dis_s17_2_5}}*[[iib_dis_s17_2_5]]
*{{iib_dis_s17_3}}*[[iib_dis_s17_3]]
---
*{{iib_dis_s20_5}}*[[iib_dis_s20_5]]
*{{iib_dis_s21_1}}*[[iib_dis_s21_1]]
*{{iib_dis_s21_2}}*[[iib_dis_s21_2]]
*{{iib_dis_s21_3}}*[[iib_dis_s21_3]]
*{{iib_dis_s21_4}}*[[iib_dis_s21_4]]
*{{iib_dis_s22_1}}*[[iib_dis_s22_1]]
*{{iib_dis_s22_2}}*[[iib_dis_s22_2]]
[[Игнатова И.Б.]] [[Обучение грамматическому строю русской речи иностранных студентов-филологов как основа формирования языковой личности будущего учителя]]
*[ext[ссылка|https://new-disser.ru/product_info.php?products_id=837842]]
[[Материал из дисерткат|Дисерткат_ИгнатоваИБ]]
* [ext[ссылка в библиотеку pdf|file:///D:/BI/dis_ignatova_ib.pdf]] * [ext[ссылка в библиотеку docx|file:///D:/BI/dis_ignatova_ib.docx]] *[ext[ссылка Интернет BI|https://yadi.sk/i/gy978MfF9kkPQw]]
[[iib_dis]]
---
!!''Обучение грамматическому строю русской речи иностранных студентов-филологов как основа формирования языковой личности будущего учителя''
*{{iib_dis_s11_2}}*[[iib_dis_s11_2]]
*{{iib_dis_s11_4}}*[[iib_dis_s11_4]]
*{{iib_dis_s11_3}}*[[iib_dis_s11_3]]
PrimYu
---
*[[научная новизна |iib_dis 1 nn]]
*[[на защиту выносятся |iib_dis 1 nzv]]
*[[гипотеза |iib_dis 1 gipoteza]]
*[[задачи |iib_dis 1 zadachi]]
*[[теоретическая значимость|iib_dis 1 tzi]]
*[[практическая значимость|iib_dis 1 pzi]]
*[[материал для размышления|iib_dis_mdr]]
*[[научные результаты|iib_dis 1 nr]]
Пример
*{{iib_dis_s11_5}}*[[iib_dis_s11_5]]
*{{iib_dis_s12_1_1}}*[[iib_dis_s12_1_1]]
*{{iib_dis_s12_1_2}}*[[iib_dis_s12_1_2]]
*{{iib_dis_s12_1_3}}*[[iib_dis_s12_1_3]]
*{{iib_dis_s12_1_4}}*[[iib_dis_s12_1_4]]
*{ {iib_dis_s12_1}}*[[iib_dis_s12_1]]
{{iib_dis_s14_3_0}}
{{iib_dis_s14_3_1}}
{{iib_dis_s14_3_2}}
{{iib_dis_s15_1_1}}
{{iib_dis_s15_1_2}}
{{iib_dis_s15_1_3}}
*{{iib_dis_s20_5}}*[[iib_dis_s20_5]]
*{{iib_dis_s21_1}}*[[iib_dis_s21_1]]
*{{iib_dis_s21_2}}*[[iib_dis_s21_2]]
*{{iib_dis_s21_3}}*[[iib_dis_s21_3]]
*{{iib_dis_s21_4}}*[[iib_dis_s21_4]]
*{{iib_dis_s22_1}}*[[iib_dis_s22_1]]
*{{iib_dis_s22_2}}*[[iib_dis_s22_2]]
{{iib_dis_s17_2_0}}
{{iib_dis_s17_2_1}}
{{iib_dis_s17_2_2}}
{{iib_dis_s17_2_3}}
{{iib_dis_s17_2_4}}
{{iib_dis_s17_2_5}}
{{iib_dis_s17_3}}
{{iib_dis_s15_2_0}}
{{iib_dis_s15_2_1}}
{{iib_dis_s15_2_2}}{{iib_dis_s16_1_1}}
{{iib_dis_s16_1_2}}
{{iib_dis_s16_1_3_0}}
<<<
{{iib_dis_s16_1_3_1}}
{{iib_dis_s16_1_3_2}}
<<<
{{iib_dis_s16_1_4}}
{{iib_dis_s16_1_5}}{{iib_dis_s17_1_1}}
стр. 15-17
{{iib_dis_s12_2_0}}
{{iib_dis_s12_2_1}}
{{iib_dis_s12_2_2}}
{{iib_dis_s12_2_3}}
{{iib_dis_s12_2_4}}
{{iib_dis_s13_1_1}}
{{iib_dis_s13_1_2}}
{{iib_dis_s13_1_3}}
{{iib_dis_s13_1_4}}
{{iib_dis_s13_1_5}}
!!! Текст
*{{iib_dis_s28_2}}*[[iib_dis_s28_2]]
!!! Языковая картина мира (язык и передача знаний)
*{{iib_dis_s34_2}}*[[iib_dis_s34_2]]
!!! В заключении
*{{iib_dis_s369}}*[[iib_dis_s369]]
*{{iib_dis_s370}}*[[iib_dis_s370]]
''Цель исследования'' - создание и обоснование методической системы обучения грамматическому строю русского языка иностранных студентов на основе системно-функционального подхода к изучению языковых единиц и с учетом преемственно-перспективных связей между разными этапами обучения в рамках подготовительного факультета.
''Объект исследования'' - динамический процесс поэтапного обучения грамматическому строю русской речи иностранных студентов-филологов в соответствии с концепцией формирования грамматической компетенции языковой личности будущего учителя-русиста.
''Предмет исследования ''- методика формирования базового грамматического строя русской речи иностранных студентов как основы становления вторичной языковой личности филолога-русиста.
''Гипотеза исследования'': эффективность процесса обучения грамматическому строю русской речи иностранных студентов-филологов в соответствии с концепцией поэтапного формирования и развития языковой личности будущего учителя-русиста может быть достигнута в результате реализации на практике предлагаемой нами лингвометодической модели обучения, доминирующими компонентами которой являются:
*{{iib_dis_s12_1}}*[[iib_dis_s12_1]]
*{{iib_dis_s12_2}}*[[iib_dis_s12_2]]
*{{iib_dis_s12_1_1}}*[[iib_dis_s12_1_1]]
*{{iib_dis_s12_1_2}}*[[iib_dis_s12_1_2]]
*{{iib_dis_s12_1_3}}*[[iib_dis_s12_1_3]]
*{{iib_dis_s12_1_4}}*[[iib_dis_s12_1_4]]
- обеспечение поэтапного овладения грамматическим строем русской речи иностранными студентами-филологами как "удвоенной" языковой личности, что предполагает формирование вербально-семантического ("нулевого) и лингвокогнитивного (тезаурусного) уровней "вторичной" языковой личности;
- реализация системно-функционального подхода к изучению языковых единиц, сочетание семасиологического и ономасиологического способов презентации и актуализации учебного грамматического материала;
- @@color:red; признание текста в качестве основной единицы обучения грамматическим основам русской речи иностранных студентов-филологов и развитие языкового и лингвокогнитивного сознания будущих профессионалов-русистов @@ ;
- выделение в практике преподавания русского языка иностранным студентам-филологам на подготовительном факультете особого аспекта -"Практическая грамматика", целью которого является формирование грамматических обобщений в процессе личностно ориентированного обучения русскому языку.
*{{iib_dis_s12_2_0}}*[[iib_dis_s12_2_0]]
*{{iib_dis_s12_2_1}}*[[iib_dis_s12_2_1]]
*{{iib_dis_s12_2_2}}*[[iib_dis_s12_2_2]]
*{{iib_dis_s12_2_3}}*[[iib_dis_s12_2_3]]
*{{iib_dis_s12_2_4}}*[[iib_dis_s12_2_4]]
Цель и гипотеза исследования обусловили необходимость решения ряда ''исследовательских задач'':
1) @@color:red; определить лингводидактическое содержание концепта "языковая личность" @@ в процессе обучения базовому грамматическому строю речи иностранных студентов-филологов;
2) @@color:red; исследовать становление и развитие вторичной языковой личности @@ в процессе поэтапного овладения грамматическим строем иноязычной (русской) речи;
3) дать лингвистическое обоснование системно-функциональному подходу при обучении грамматике русского языка как неродного;
4) @@color:red; установить психолингвистические особенности обучения взрослых иностранному (русскому) языку; @@
*{{iib_dis_s13_1_1}}*[[iib_dis_s13_1_1]]
*{{iib_dis_s13_1_2}}*[[iib_dis_s13_1_2]]
*{{iib_dis_s13_1_3}}*[[iib_dis_s13_1_3]]
*{{iib_dis_s13_1_4}}*[[iib_dis_s13_1_4]]
*{{iib_dis_s13_1_5}}*[[iib_dis_s13_1_5]]
5) выявить особенности усвоения грамматических категорий, форм и структур студентами-иностранцами, создать типологию грамматических ошибок, определить причины их появления и устойчивости;
6) определить динамику развития грамматического строя речи иностранных студентов в рамках подготовительного факультета;
7) выделить принципы обучения грамматическому строю русской речи иностранных студентов-филологов;
8) разработать и научно обосновать методическую технологию обучения грамматическому строю речи в процессе формирования вторичной языковой личности будущего учителя - русиста;
9) провести экспериментальное обучение на основе предлагаемой модели; осуществить интервьюирование преподавателей с целью получения экспертной оценки предложенной системы обучения.
''Научная новизна'' исследования определяется постановкой и решением в нем проблем, ориентированных на создание целостной концепции обучения грамматическому строю русской речи иностранных студентов-филологов на основе интегральной совокупности языкового и когнитивного сознания, что соответствует условиям реального межъязыкового общения. Научной новизной обладает и сформулированная в диссертации авторская концепция методики обучения грамматическому строю иноязычной речи на основе реализации системно-функционального подхода при учете преемственно-перспективных связей между разными этапами формирования и развития вторичной языковой личности иностранного студента-филолога.
''Научные результаты'' исследования:
- обоснованы конечные цели обучения грамматическому строю русской речи иностранных студентов-филологов в русле концепта "языковая личность";
- разработана лингвометодическая система поэтапного формирования вторичной языковой личности иностранного студента-филолога в условиях подготовительного факультета, доминантой которой является системно-функциональный подход к решению поставленных исследовательских задач;
- теоретически и экспериментально обоснован системно -функциональный подход к обучению базовому грамматическому строю иноязычной (русской) речи на основе реализации преемственно-перспективных связей между разными этапами формирования и развития грамматической компетенции языковой личности будущего филолога-русиста;
- разработана модель формирования вторичной языковой личности иностранного студента-филолога при овладении базовыми грамматическими знаниями, навыками и умениями;
- определены основные принципы, методы и приемы поэтапного обучения базовому грамматическому строю русского языка в соответствии с закономерностями формирования вторичной языковой личности будущего преподавателя русского языка как иностранного.
''Теоретическая значимость исследования '' определяется научной новизной и характером предпринятого исследования, обозначившего лингвистические, психологические, нейрофизиологические и психолингвистические проблемы, связанные с дальнейшим развитием методики обучения взрослых учащихся грамматическому строю иноязычной речи в концепте "вторичная языковая личность":
-разработана теоретическая концепция обучения базовому грамматическому строю иноязычной (русской) речи, призванная обеспечить поэтапное становление иностранного студента-филолога как "удвоенной" языковой личности, что предполагает формирование уже на подготовительном факультете вербально-семантического и когнитивно-тезаурусного уровней "вторичной" языковой личности, а также закладывание основ для дальнейшего формирования языковой личности на прагматическом уровне ее структуры;
- раскрыто понятие "вторичная языковая личность", разработана ее структурная модель применительно к поэтапному овладению грамматиче
ским строем русской речи иностранными студентами-филологами;
- дано теоретическое обоснование системно-функционального подхода к обучению грамматическому строю русской речи иностранных студентов; с этой целью введено терминологическое понятие "системно-функциональный подход", раскрыто основное содержание данного подхода к изучению и описанию языковых единиц в процессе личностно ориентированного обучения русскому языку как неродному;
- сформулированы основные закономерности обучения грамматическому строю иноязычной речи:
а) первая закономерность вытекает из сущности языка как функционирующей системы: каждая языковая единица, обладающая значением и речевой предназначенностью, отражает динамический характер речи и системное ее строение;
б) вторая закономерность вытекает из психолингвистических особенностей восприятия и усвоения грамматических единиц: чем выше уровень способностей иностранных студентов к самостоятельным теоретическим обобщениям собственного речевого опыта, тем интенсивнее усваивается системно-функциональный характер языкового знака в иностранном языке;
- основные закономерности процесса усвоения иностранными студентами базового грамматического строя русской речи при личностно ориентированном обучении русскому языку позволили выделить и обосновать стратегический и тактический принципы обучения: принцип преемственности в формировании и развитии вторичной языковой личности иностранного студента-филолога и принцип системно-функционального подхода к изучению языковых единиц;
- выделены критерии достижения студентами-филологами разноуровневого развития в процессе поэтапной реализации системно-функционального подхода к формированию и развитию языковой лич-
ности будущего учителя -русиста.
''Практическая значимость'' исследования:
1. Разработанная научно - теоретическая база позволила создать обоснованную практическую методику, направленную на интенсификацию учебного процесса по обучению грамматическому строю русского языка на подготовительном факультете.
2. Предложенная методическая система направлена на формирование профессионального методического мышления студентов, будущих учителей русского языка, что в перспективе обеспечивает более высокий уровень развития лингвистической, коммуникативной и педагогической компетенции.
3. Экспериментальные учебные пособия, методические рекомендации, контрольные тесты и др. с учетом преемственных связей способствуют повышению качественного уровня подготовки по русскому языку иностранных студентов на начальном этапе обучения.
4. Созданные наглядные пособия ( видеофильмы/таблицы, диафильмы и др.), компьютерные программы и дидактические материалы (схемы, карточки и т.д.) могут быть использованы при обучении грамматике не только на подготовительном факультете, но и на первом курсе гуманитарных факультетов.
5. Разработанные тесты способствуют определению уровня развития вторичной языковой личности иностранных студентов-филологов.
Полученные результаты, выводы, методические рекомендации, а также учебные пособия могут быть использованы в курсе практической грамматики, предназначенной для студентов национальных групп, при изучении русского языка в национальной школе. Теоретические положения и материалы исследования могут быть использованы в лекционном курсе по методике преподавания русского языка как иностранного.
''На защиту выносятся следующие положения '' :
1. Обучение грамматическому строю речи должно осуществляться с учетом поэтапности становления и развития языковой личности иностранного студента-филолога, что предполагает формирование в процессе овладения русским языком вербально-семантического и лингвокогнитивного (тезаурусного) уровней "вторичной" языковой личности, а также закладывание основ мотивационно-прагматического уровня (Ю.Н.Караулова) инофонной "языковой личности".
2. Результативность предлагаемой лингвометодической модели обучения грамматическому строю русской речи иностранных студентов-филологов в свете концепта "языковая личность" может гарантироваться при подходе к ней как многомерному феномену, составляющие которого есть а) сознание, б) знаковая система языка, в) правила и закономерности функционирования языковых единиц в процессе общения, г) социально-коммуникативная функция языка, которая формирует сознание и знаковую субстанцию языка.
3. Обучение базовому грамматическому строю русской речи иностранных студентов-филологов необходимо строить на основе учета системных и функциональных свойств языка и речи. Соотношение системного и функционального подходов к описанию и изучению языковых единиц предполагают учет взаимосвязи их значения, функции и формы, что позволяет преподавателю получить целостное представление о функционально-семантических, коммуникативных и формальных свойствах изучаемых единиц языка, вскрыть специфику взаимодействия и механизмы функционирования их в речи. Это способствует методически обоснованному представлению грамматических явлений.
4. Исходя из системной организации языка/речи, предлагаем комплексный подход к организации обучения иностранных студентов-филологов русскому языку с его грамматическим ядром как реализацию синхронной работы над словом- предложением — текстом, обеспечи-
вающей в единстве решение поставленных коммуникативно-познавательных задач. В качестве наименьшей единицы презентации в усвоении языкового материала становится модель предложения.
5. Лингвометодическая система обучения грамматическому строю иноязычной (русской) речи должна моделировать этапы "подключения" обучающихся к языковой и лингвокогнитивной "картине мира". В связи с этим основной аспект при обучении должен всегда приходиться на обучение пониманию и порождению грамматически правильных и семантически точных речевых произведений - текстов, поэтому именно @@color:red; текст становится высшей учебной единицей в процессе овладения иностранными студентами грамматическим строем русской речи. @@
Личностный аспект изучения языка (и в этом мы согласны с Ю.Н.Карауловым) является основой для синтеза разнонаправленных подходов к созданию новой, общей теории языка, и ее противопоставление другим аспектам “заключается в изменении исследовательского пафоса, который в рамках теории языковой личности формулируется так: “За каждым текстом стоит языковая личность” (413, с.5).
Мы сочли необходимым с предельно допустимой степенью подробности остановиться на проблеме лингвистического подхода к категории "языковая личность", т.к. подобный лингвистический анализ представляется нам необходимым, ибо мы убеждены в том, что @@color:red; понятие языковой личности не только является системообразующим фактором познания языка, но и открывает новые возможности перед методикой преподавания русского языка как неродного. @@
Во-первых, лингводидактический подход позволяет представить языковую личность как бы в двух аспектах: а) через призму взгляда лингводидакта homo loquens вообще и б) как родовое свойство человека (вида
homo sapiens), т.е. способность пользоваться языком (185, с.29). Во-вторых, лингводидактический подход, взаимоувязывающий многоуровневую структуру языковой личности и речевую деятельность (РД), в которой эта личность актуализируется, представляется нам заслуживающим самого пристального внимания, т.к. @@color:red; любая языковая личность на каждом уровне своей организации имеет базовый инвариантный компонент, который поддается описанию и типологизации для целей обучения русскому языку как родному, так и неродному. @@ Более того, основные параметры языковой личности позволяют фиксировать наличие инварианта в общенациональном языковом типе, типологизировать трудности усвоения иноязычной речевой деятельности обучаемых.
Под языковой картиной мира предлагается понимать два различных представления о мире, выражаемых средствами грамматической и лексической семантики: __первая__ способствует становлению интегральной, __вторая__ - дифференциальной языковой картины мира (Б.А.Серебренников). Благодаря вербальным образам и языковым моделям происходит расширение и обогащение концептуальной системы индивида. Это возможно потому, что, __во-первых__, @@color:red; язык обеспечивает двустороннюю связь между индивидуальным и коллективным знанием. Закрепление индивидуального знания в звуковой форме, а затем в письменности сделало возможным сохранение знания и передачу его от одного индивида к другому. На этой основе формируется коллективное знание. Вместе с тем, язык позволяет индивидууму усвоить то коллективное знание, которым располагает социальное окружение. @@ __Во-вторых__, @@color:red; язык является одним из основных инструментов создания нового знания. @@ Роль языка в продуцировании нового знания обусловлена тем, что языковым знакам присущи не только функции "кодификации смысла", но и свойства "операциональности". Человеческое мышление может быть дополнено, а иногда заменено операциональной деятельностью со знаками. Оперирование со знаками языка, считает Р.И.Павеленис, равносильно преобразованию содержащейся в них информации, что позволяет сформировать новую информацию, которая не конструируется без языка. Итак, языковая картина мира понимается как подсистема, включающая те компоненты концептуальной картины мира, с которыми соотносятся языковые знаки. Специфика языковой картины мира состоит в том, что она не образует самостоятельную картину мира, существующую наряду и параллельно с концептуальной картиной мира, а как бы "встроена" в нее (О.Л.Каменская).
* 1. В лингводидактике и психолингвистике проблема "Язык и человек" привлекает все большее внимание исследователей. В связи с этим все чаще встречается термин "языковая личность", за которым стоит целая теория и разнообразные методики анализа, описания и преподавания языка. Использование понятия "''языковая личность''" предполагает такое исследовательское представление языка в учебных целях, которое включает рассмотрение его структурно-функциональных черт с одновременным анализом формирования и развития закономерностей овладения человеком языком, отражение в языке человеческого мировосприятия , а в специфике его применения - человеческих интересов, установок и целей. Особое внимание при этом уделяется описанию структуры и функции языковой личности в процессе изучения иностранного (русского) языка.
*
* Центральным понятием в разрабатываемой концепции является феномен "языковая личность" (Ю.Н.Караулов), в которой объективируется через лингвосоциум и его речевую деятельность "эталонный" потенциал языкового и лингвокогнитивного сознания "природного" инофона как носителя не только языка, но и определенной "языковой и глобальной" (концептуальной) "картины мира".
*
*
* Принимая в принципе трехуровневую организацию языковой личности, предложенную Ю.Н.Карауловым (вербально-семантический, лингвоког-нитивный, прагматический уровни), мы выдвинули тезис о необходимости создать аналогичную многомерность во вторичной языковой личности в процессе овладения базовым грамматическим строем русской речи иностранными студентами-филологами.
*
* Введение в научную парадигму нашего исследования понятия "''вторичная языковая личность''" позволило установить принципиальную конгруэнтность уровневой организации "языковой личности" структуре этапов обучения базовым грамматическим основам русской речи этой личности как представителя определенного лингвосоциума. Эти этапы - а именно, формирование вербально-семантического и лингвокогнитивного уровней -
*
должны предопределять цели, содержание и последовательность лингво-дидактической методологии учебного процесса по русскому языку на подготовительном факультете.
Новое целеполагание системно-функционального подхода к поэтапному формированию и развитию вторичной языковой личности позволило в целом по-новому моделировать процесс обучения русскому языку на подготовительном факультете и, в частности, обучению грамматическому строю речи иностранных студентов-филологов:
- при формировании базовых грамматических основ иноязычной (русской) речи необходимо учитывать поэтапность в становлении во "вторичном" языковом и "вторичном" когнитивном сознании обучаемого характерной для природного инофона грамматической вербально-ассоциативной сети (формирование вербально-семантического уровня в структурной модели языковой личности);
- модель обучения базовому грамматическому строю русской речи студентов-иностранцев должна содержать этапы "подключения" обучаемых не только к языковой, но и лингвокогнитивной "картинам мира" (формирование тезаурусного уровня языковой личности);
- овладение лексико-грамматическими единицами должно осуществляться на текстовой основе. Это позволяет рассматривать текст в качестве основной единицы обучения и формирования языкового и лингвокогни-тивного сознания студентов-иностранцев уже на начальном этапе становления вторичной языковой личности.
Таким образом, включение понятия "вторичная языковая личность" в контекст научного исследования открыло новое перспективное направление в методике преподавания русского языка как неродного.
[ext[ссылка|https://pypi.org/project/javascripthon/]]
ОБЩАЯ ХАРАКТЕРИСТИКА РАБОТЫ Актуальность исследования обусловлена важностью изучения феномена языковой личности ученого как особого типа профессиональной языковой лич-ности. В этом плане значимо исследование текстового массива выдающегося отечественного филолога В.В. Виноградова, который подверг всестороннему изучению на материале обширного и разнородного речевого материала ярусы системы русского языка, а также различные типы русских текстов, в том числе художественные произведения отечественных писателей-классиков, внесших неоценимый вклад в развитие современного русского литературного языка. Работы В.В. Виноградова, посвященные языку и стилю мастеров русского слова, открывают особую область филологических исследований. Совокуп-ность виноградовских текстов о языке и стиле русских писателей предстает в качестве масштабного целого, предмет которого - системный анализ словесно-изобразительных принципов, приемов и средств той или иной выдающейся ли-тературной личности - писателя-классика. Данные принципы исследуются уче-ным на широком фоне истории развития русского литературного языка. Выбор интегративного лингвориторического подхода в качестве исследовательской платформы изучения филологического дискурса В.В. Виноградова, посвящен-ного языку и стилю русских писателей-классиков, содействует более глубокому пониманию особенностей мировоззрения, личности ученого и его научного наследия, вскрывает закономерности технологии и идеологии речемыслитель-ного процесса профессиональной языковой личности выдающегося деятеля отечественной филологической науки.
Объект исследования - языковая личность В.В. Виноградова и его дискурс о языке и стиле русских писателей; предмет - лингвориторическйе (ЛР) особенности репрезентации профессиональной языковой личности В.В. Виноградова как ученого-филолога.
Цель исследования - выявить общий ЛР конструкт профессиональной язы-ковой личности ученого-филолога В.В. Виноградова и особенности работы механизмов реализации его профессиональной ЛР компетенции, репрезентированные в текстах о языке и стиле русских писателей.
Данная цель обусловила постановку следующих задач: - установить теоретико-методологические основы ЛР исследования дискурса В.В. Виноградова как ученого-филолога, разработать типологию профессио-нальной языковой личности; - дать общую характеристику профессиональной языковой личности учено-го на основе аналитического обзора с позиций ЛР парадигмы, выявить сущностные признаки речемыслительного процесса В.В. Винофадова; - обосновать понятие «научно-интерпретативный дискурс (сегмент идио-дискурса)» применительно к дискурсу ученого-филолога на материале вино-градовских исследований языка и стиля русских писателей-классиков, вьшол-нить категориальную разработку данного понятия; - выявить особенности работы базовых механизмов реализации профессио-нальной ЛР компетенции В.В. Виноградова (элокутивно-экспрессивного, дис
совокупности с теми экстралингвистическими факторами, которые обусловлены профессиональной деятельностью говорящего - совокупностью устных и письменных текстов, порождаемых языковой личностью филолога-классика в профессиональной коммуникации» [Силантьева 2012: 10]. Языковая личность в профессиональной сфере действия порождает профессиональный дискурс, с одной стороны, обнаруживая свою оригинальность, с другой - обеспечивая языковое соответствие статусно-ориентированному дискурсу и «мимикрируя» под его особенности.
Категория ''профессиональная языковая личность'', базовая для данного исследования, определяется нами как субъект речевой коммуникации той или иной социокультурной сферы, чей речемыслительный потенциал раскрывается в создаваемом профессиональном дискурсе, характеризуемом той или иной степенью индивидуальности в сочетании с целенаправленным воплощением сущностных признаков данного типа институционального дискурса, объективируемых на уровне системы универсальных ЛР параметров.
Общая типология профессиональной языковой личности выстроена нами по ряцу оснований, которые отражают следующие ключевые позиции (после первого пункта классификации детализация осуществлена только для филологической сферы самореализации профессиональной языковой личности):
1) с позш/ий принадлежности к той или иной сфере социокультурной коммуникации'.
1.1) нефилологические сферы самореализации профессиональной языковой личности (юриспруденция, менеджмент и экономика, администрирование и делопроизводство, медицина, педагогика и др.); для представителей данных сфер необходимо практически владеть словом как ведущим инструментом профессиональной деятельности, осуществляемой в сфере общения с большим количеством людей; 1.2) филологическая сфера самореализации про-фессиональной языковой личности (филология как наука, преподавание учебных предметов филологического цикла на разных образовательных ступенях, библиотечное дело, журналистика, реклама и РЯ-технологии, создание литературных произведений разных жанров и др.);
2) по характеру речемыслительной деятельности профессиональной языко-вой личности специалиста-филолога, сфере применения продуктов дискурсив-но-текстообразующего процесса: 2.1) филологи-практики, мастера слова (пи-сатель (прозаик, поэт), журналист, специалист по рекла.мньгм и РЯ текстам и др.); 2.2) филологи-теоретики (ученый-филолог; вузовский преподаватель языковедческих, литературоведческих дисциплин; учитель-словесник - в той или иной степени);
3) с точки зрения наличия / отсутствия идиостиля: 3.1) массовая усредненная языковая личность филолога, использующая специатьную терминологию; 3.2) филологи-классики, заложившие теоретико-методологические основы науки о языке, выдающиеся ученые, обладающие выраженным научным идиостилем;
4) по степени креативности в постановке новых проблем, самостоятельности и разработке научных подходов, способности организовать работу учен
[[Лысенко]] Н.Е. Развитие языковой личности при обучении русскому и иностранному языкам в неязыковом вузе
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=834555]]
[ext[ссылка автореферат|https://new-disser.ru/_avtoreferats/01002975870.pdf]]
[[lne_ar 1]]
---
*{{lne_ar_s3}}* [[lne_ar_s3]]
*{{lne_ar_s4_1}}* [[lne_ar_s4_1]]
*{{lne_ar_s4_2}}* [[lne_ar_s4_2]]
*{{lne_ar_s4_3}}* [[lne_ar_s4_3]]
*{{lne_ar_s5_1}}* [[lne_ar_s5_1]]
*{{lne_ar_s5_2}}* [[lne_ar_s5_2]]
*{{lne_ar_s5_3}}* [[lne_ar_s5_3]]
*{{lne_ar_s5_4}}* [[lne_ar_s5_4]]
* {{lne_ar_s6_1}}* [[lne_ar_s6_1]]
* {{lne_ar_s6_2}}* [[lne_ar_s6_2]]
* {{lne_ar_s6_3}}* [[lne_ar_s6_3]]
* {{lne_ar_s6_4}}* [[lne_ar_s6_4]]
* {{lne_ar_s7_1}}* [[lne_ar_s7_1]]
* {{lne_ar_s7_2}}* [[lne_ar_s7_2]]
* {{lne_ar_s7_3}}* [[lne_ar_s7_3]]
* {{lne_ar_s8_6}}* [[lne_ar_s8_6]]
* {{lne_ar_s9_1}}* [[lne_ar_s9_1]]
* {{lne_ar_s9_2}}* [[lne_ar_s9_2]]
* {{lne_ar_s9_6}}* [[lne_ar_s9_6]]
* {{lne_ar_s11_4}}* [[lne_ar_s11_4]]
* {{lne_ar_s11_5}}* [[lne_ar_s11_5]]
* {{lne_ar_s12_1}}* [[lne_ar_s12_1]] продолжение
* {{lne_ar_s12_3}}* [[lne_ar_s12_3]]
* {{lne_ar_s15_3}}* [[lne_ar_s15_3]]
* {{lne_ar_s15_4}}* [[lne_ar_s15_4]]
* {{lne_ar_s15_5}}* [[lne_ar_s15_5]]
* {{lne_ar_s16_1}}* [[lne_ar_s16_1]]
* {{lne_ar_s16_2}}* [[lne_ar_s16_2]]
* {{lne_ar_s16_3}}* [[lne_ar_s16_3]]
* {{lne_ar_s16_4}}* [[lne_ar_s16_4]]
* {{lne_ar_s16_5}}* [[lne_ar_s16_5]]
* {{lne_ar_s17_1}}* [[lne_ar_s17_1]]
* {{lne_ar_s17_2}}* [[lne_ar_s17_2]]
* {{lne_ar_s17_3}}* [[lne_ar_s17_3]]
* {{lne_ar_s17_4}}* [[lne_ar_s17_4]]
* {{lne_ar_s18_1}}* [[lne_ar_s18_1]] продолжение
[[Лысенко]] Н.Е. Развитие языковой личности при обучении русскому и иностранному языкам в неязыковом вузе
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=834555]]*[ext[ссылка автореферат|https://new-disser.ru/_avtoreferats/01002975870.pdf]]
[[lne_ar]]
---
!!''Развитие языковой личности при обучении русскому и иностранному языкам в неязыковом вузе''
Таким образом, ''цель данного исследования'' заключается в создании методики развития языковой личности при обучении русскому и иностранному (английскому) языкам в неязыковом вузе и разработке проблемы функционирования и взаимодействия вербально-семантического, лингво-когнитивного, мотивационного уровней, культурологического компонента языковой личности. Данная методика предполагает углубленное изучение теории русского и иностранного (английского) языков, развитие когнитивных операций анализа и сравнения, учебных, коммуникативных, культурологических умений студентов-нефилологов
''Предметом исследования'' является методика развития языковой личности, в основе которой лежит концепция формирования языковой личности Ю.Н. Караулова.
''Объектом исследования'' является процесс развития языковой личности при обучении русскому и английскому языкам в неязыковом вузе
---
*{ {lne_ar_s5_1}}*{ {lne_ar_s5_2}}*{ {lne_ar_s5_3}}
---
*[[научная новизна |lne_ar 1 nn]]
*[[на защиту выносятся ?! |lne_ar 1 nzv]]
*[[гипотеза |lne_ar 1 gipoteza]]
*[[задачи |lne_ar 1 zadachi]]
*[[теоретическая значимость|lne_ar 1 tzi]]
*[[практическая значимость|lne_ar 1 pzi]]
*[[материал для размышления|lne_ar_mdr]]
---
* {{lne_ar_s6_3}}* [[lne_ar_s6_3]]
* {{lne_ar_s7_3}}* [[lne_ar_s7_3]]
* {{lne_ar_s7_2}}* [[lne_ar_s7_2]]
* {{lne_ar_s6_4}}* [[lne_ar_s6_4]]
* {{lne_ar_s7_1}}* [[lne_ar_s7_1]]
*{{lne_ar_s3}}* [[lne_ar_s3]]
*{{lne_ar_s4_1}}* [[lne_ar_s4_1]]
*{{lne_ar_s4_2}}* [[lne_ar_s4_2]]
*{{lne_ar_s4_3}}* [[lne_ar_s4_3]]
* {{lne_ar_s6_1}}* [[lne_ar_s6_1]]
* {{lne_ar_s6_2}}* [[lne_ar_s6_2]]
* {{lne_ar_s8_6}}* [[lne_ar_s8_6]]
* {{lne_ar_s9_1}}* [[lne_ar_s9_1]]
* {{lne_ar_s9_2}}* [[lne_ar_s9_2]]
* {{lne_ar_s9_6}}* [[lne_ar_s9_6]]
* {{lne_ar_s11_4}}* [[lne_ar_s11_4]]
* {{lne_ar_s11_5}}* [[lne_ar_s11_5]]
* {{lne_ar_s12_1}}* [[lne_ar_s12_1]] продолжение
* {{lne_ar_s12_3}}* [[lne_ar_s12_3]]
* {{lne_ar_s15_3}}* [[lne_ar_s15_3]]
* {{lne_ar_s15_4}}* [[lne_ar_s15_4]]
* {{lne_ar_s15_5}}* [[lne_ar_s15_5]]
* {{lne_ar_s16_1}}* [[lne_ar_s16_1]]
* {{lne_ar_s16_2}}* [[lne_ar_s16_2]]
* {{lne_ar_s16_3}}* [[lne_ar_s16_3]]
* {{lne_ar_s16_4}}* [[lne_ar_s16_4]]
* {{lne_ar_s16_5}}* [[lne_ar_s16_5]]
* {{lne_ar_s17_1}}* [[lne_ar_s17_1]]
* {{lne_ar_s17_2}}* [[lne_ar_s17_2]]
* {{lne_ar_s17_3}}* [[lne_ar_s17_3]]
* {{lne_ar_s17_4}}* [[lne_ar_s17_4]]
* {{lne_ar_s18_1}}* [[lne_ar_s18_1]] продолжение
Исследование процессов усвоения русского и иностранного языков связано с понятиями базовой и вторичной языковой личности. Базовая языковая личность формируется при изучении русского языка. Она является каркасом для развития вторичной языковой личности, т.к. от глубины языковых знаний, речевых и учебных умений студента, полученных при изучении русского языка, зависит успешность обучения иностранному языку. Её формирование - сознательный процесс, т.к. он происходит преимущественно в учебной обстановке.
С нашей точки зрения, отличительными признаками вторичной (билингвальной) языковой личности являются:
- высокий автоматизм речевых операций, что проявляется в беглости, языковой правильности речи;
- умение использовать русский язык в качестве компенсаторного механизма (применение теоретических знаний по русскому языку при изучении иностранного языка, перенос речевых умений);
- осознанное использование когнитивных операций анализа, сравнения, синтеза, компрессии при переводе;
- сформированность навыка переключения (знаковые связи между словами иностранного языка и их эквивалентами в русском языке, отсутствие межъязыковой интерференции);
- культурологические умения (умение самостоятельно познать культурные традиции народа, сравнить с культурными традициями родной страны для регуляции своего речевого поведения в процессе межкультурного общения).
''В главе 2 «Уровень сформированности языковой личности студентов неязыкового вуза»'' описывается проведённая диагностическая работа по выявлению уровня сформированности языковой личности студентов неязыковых вузов. В данной главе мы провели обзор заданий для диагностики вербально-семантического, лингво-когнитивного, мотивационного уровней развития языковой личности в лингвистической, психолого-педагогической, методической литературе в России и за рубежом (Р.Н. Попов, А.И. Власенков, И.Л. Бим, А. Раппопорт, М.Т. Баранов, Е.Н. Пузанкова, Т.А. Ладыженская, Р. Ладо, М.П. Вайсбурд, Я.М. Колкер, А.В. Ярмоленко, Миллер Скотг, Норман Льюис и др.), определили функции и последовательность диагностических процедур. В целях интенсификации учебного процесса целесообразно проводить диагностику не только с целью контроля, определения уровня языковой подготовки студентов, но и с целью обучения. Принципиальное отличие обучающей диагностики от традиционной состоит в том, что обучение происходит одновременно с проведением диагностических процедур.
''В главе 3 «Методика развития языковой личности при обучении языковым дисциплинам в неязыковом вузе» представлены задания, направленные на развитие учебных умений, языковых знаний, когнитивных операций, коммуникативных и культурологических умений студентов-нефилологов. '' Опираясь на результаты теоретических и практических исследований языковой личности, мы предприняли попытку разработать методику развития языковой личности при обучении русскому и английскому языкам в неязыковом вузе. Мы ориентировались на достижения мультилингводидактики, когнитивной психологии, лингвокультурологии и других направлений в лингвистике, психологии, методике; учитывали принципы развивающего обучения и педагогики творчества; результаты констатирующего эксперимента; собственные практические наблюдения за учебной деятельностью студентов в процессе преподавания иностранного (английского) языка в неязыковом вузе.
Т.к. концепт языковой личности имеет многомерный характер, методика разработана на основе комплексного подхода, который объединил системно-структурный, когнитивный, коммуникативный, культурологический подходы. Разработанные учебные материалы проверялись на третьем этапе (2004-2005 гг.) научного исследования при проведении обучающего эксперимента на 1 и 2 курсах экономического факультета по специальности «Бухгалтерский учёт, анализ и аудит» (173 человека). В качестве контрольной группы выступали студенты первого и второго курсов экономического факультета по специальности «Финансы и кредит» (159 человек).
Разработанная типология упражнений используется при изучении как русского, так и английского языков. Мы анализируем уровень успеваемости студентов по языковым дисциплинам при проведении констатирующего и обучающего эксперимента, динамику количественных
показателей, на основе полученных данных формулируем выводы. Предлагаемая нами система упражнений способствует развитию языковой личности студента при обучении дисциплинам «Русский язык и культура речи», «Иностранный язык», «Культурология» в вузе. Она включает задания на лингвистический анализ, развитие когнитивных операций, стилистическое редактирование текста, упражнения на развитие логического, образного, творческого мышления, навыков переключения и перевода. Методика развития языковой личности предусматривает задания различного уровня сложности, поэтому их выбор может осуществляться в зависимости от уровня подготовки группы. Повысить успешность, интенсифицировать процесс языкового обучения в неязыковом вузе позволяет система упражнений для развития учебных умений, которые направлены на выработку приёмов обработки информации, осознание межпредметных связей, формирование способности к самообучению, повьшение мотивации к учению.
Критериями развития выступают разнообразие грамматических форм и конструкций высказывания, логичность, образность, эмоциональность, уместность высказывания, направленность на определенного слушателя.
В соответствии с разработкой качественных показателей лингвистического развития студентов мы пытались выделить упражнения:
- на развитие учебных умений;
- на осмысление языковой теории;
- по развитию когнитивных операций;
- по развитию логического, образного, творческого мышления;
- по формированию языковой догадки;
- по совершенствованию эмоциональной стороны речи;
- по формированию коммуникативных умений (умений делового и межкультурного общения);
- по развитию культурологического компонента.
Такое деление можно считать условным, т.к. выполнение языковых упражнений на русском и английском языках одновременно способствует развитию когнитивных операций анализа, сравнения и т.д. Приведём частичные примеры заданий, составляющих методику развития языковой личности:
''Учебные умения'':
//На осознание межпредметных связей и развитие умений переноса //
1) Выберите похожие понятия в языковом строе русского и английского языков. Какие понятия вы понимаете быстрее и лучше? Почему?
Звук, буква, интонация, ритм, порядок слов в предложении, вспомогательный глагол, времена глагола, артикли, падежи, герундий.
''Лингво-когнитивиый уровень ''
//Задания на развитие когнитивных операций //
''Лексика''
//На классификацию://
1. Составьте классификацию словарных единиц по трудности значения и употребления. Сгруппируйте слова:
а) с единственным аналогичным значением в русском языке;
б) значение которых шире, чем в русском языке;
в) значение которых уже, чем в русском языке, переводится одним словом и трактуется по контексту.
А spoon (в пер. ложка), to swim (плавать), to get (получать, добираться, понимать), to recognize (узнавать - напр. человека по внешности)...
''Упражнения по развитию коммуникативных умений ''
На развитие навыков перевода и переключения:
1. Прочитайте диалог на экономическую тематику. Переведите реплики на русский и английский языки соответственно. Передайте содержание диалога деловому партнёру по телефону.
Foreigner (Иностранец): As far as I know, in the past the major function of your accountants was to control whether the enteфrises achieved the plan targets. Has the accounting system changed of late?
Russian (Русский): Политика экономических реформ вызвала необходимость создания эффективной системы бухгалтерского учёта. В этом направлении уже проделана большая работа.
''Культурологический компонент''
// На развитие межкультурных коммуникативных умений: //
Тест на знание правил речевого этикета: выберите нужный вариант для окончания фразы.
1. - Сап you help me?
а) I agree to do it right. b) Sure.
//Ha анализ, сравнение, обобщение: //
1. Произведите комплексный анализ слова:
а) объясните лексическое значение слова;
б) подберите синонимы и антонимы;
в) укажите стилистическую окраску слова (нейтральное, книжное, разговорное);
г) приведите примеры устойчивых выражений, в которых используется слово;
д) приведите примеры использования этого слова в устном народном творчестве, в художественной литературе, в повседневном общении;
е) составьте предложение с этим словом.
Постфактум, духовный, разгуляться; economics, cool, enlarge.
<center> ''ОБЩАЯ ХАРАКТЕРИСТИКА РАБОТЫ '' </center>
Данное научное исследование посвящено проблеме развития языковой личности при обучении русскому и иностранному языкам в неязыковом вузе. Основой нашего исследования является концепт и модель языковой личности, разработанные Ю.Н. Карауловым. Концепт языковой личности мы понимаем как «выраженный в языке с помощью языковых средств и насыщенный дополнительным понятием личности» [Караулов, 1987]. Он включает языковую, когнитивную, культурную характеристику личности. Наш выбор обусловлен рядом преимуществ данной лингводидактической модели по сравнению с остальными, а именно:
- ей комплексным характером, т.е. объединением в единую систему данных лингвистики, психологии, педагогики, культурологии;
- возможностью применения модели как на занятиях по русскому языку, так и на занятиях по иностранному языку
; - методической простотой модели и возможностью управлять языковым, когнитивным, культурным развитием студентов от низшего уровня к высшему.
''Отличительной особенностью'' данного исследования является то, что в нём
предпринимается попытка изучения функционирования модели языковой личности, разработанной Ю.Н. Карауловым, в процессе обучения как русскому, так и английскому языкам. Научная работа предполагает сопоставление характеристик базовой и вторичной языковой личности, исследование коррелятивных отношений между уровнями модели. Экспериментальная методика развития языковой личности разработана на материале двух языков - русского и английского. Для повышения эффективности и интенсификации процесса языкового обучения в неязыковом вузе в ней учтены последние научные достижения новейших самостоятельных направлений в лингвистике, психологии, педагогике, страноведении - когнитивной психологии, неориторики, лингвокультурологии, межкультурной педагогики. В отличие от существующих методик (когнитивных, коммуникативных), разработанная нами методика имеет комплексный характер и направлена на всестороннее (языковое, когнитивное, культурное) развитие личности.
Согласно Л.С. Выготскому, «обучение ведёт за собой развитие» [Выготский, 1999]. Однако в методике недостаточно разработана система рекомендаций о том, что именно в содержании курса родного и иностранного языков оказывает воздействие на языковое, когнитивное, культурное развитие студентов, какие методические средства обучения могут оптимизировать и интенсифицировать процесс развивающего действия дисциплин «Русский язык», «Иностранный язык» в соответствии
с целями обучения и какие закономерные отношения обучения и развития отвечают целям и задачам развивающего обучения на современном этапе развития высшей школы. Мы предприняли попытку разработать методику развития языковой личности, цель которой - углубление языковых знаний, совершенствование учебных, речевых, культурологических умений студентов-нефилологов при выполнении комплексных двуязычных упражнений.
''Актуальность '' научного исследования обусловлена рядом причин, а именно:
- полилингвизмом населения Российской Федерации и расширением международных контактов;
- современными профессиональными требованиями к молодому специалисту, которые предполагают владение русским и иностранными языками, культурой речи, наличие умений межкультурного общения;
- необходимостью в повышении уровня языкового, когнитивного, культурного развития современной молодёжи;
- @@color:red; необходимостью в оптимизации и интенсификации процесса языкового обучения в неязыковом вузе @@ ;
- @@color:red; тенденцией к интеграции профильных и гуманитарных дисциплин в образовательном процессе@@;
- @@color:red; недостаточным количеством часов, отведённым на изучение гуманитарных дисциплин в неязыковом вузе@@;
- высокой наполняемостью групп в неязыковом вузе;
- низким (средним) уровнем знаний по языку и отсутствием мотивации к изучению языка у студентов неязыкового вуза.
Высокая наполняемость групп (от 15 до 25 человек), разный уровень подготовки студентов диктуют необходимость в разработке особого курса интенсивного языкового обучения, доступного и интересного студентам-нефилологам. Он позволит студентам при изучении иностранного языка использовать знания и умения, полученные из смежных дисциплин, а также научит самостоятельно их совершенствовать. Наш выбор предмета «иностранный язык» для апробации методики развития языковой личности обусловлен рядом причин, а именно:
- большей по сравнению с курсом русского языка продолжительностью обучения (пять семестров, в среднем 36 часов в каждом семестре);
- необходимостью в использовании межпредметных знаний по русскому языку и культуре речи, культурологии, предметам по специальности при составлении высказываний на иностранном языке, переводе иноязычных текстов
Наш выбор предмета «иностранный язык» для апробации методики развития языковой личности обусловлен рядом причин, а именно:
- большей по сравнению с курсом русского языка продолжительностью обучения (пять семестров, в среднем 36 часов в каждом семестре);
- необходимостью в использовании межпредметных знаний по русскому языку и культуре речи, культурологии, предметам по специальности при составлении высказываний на иностранном языке, переводе иноязычных текстов
Таким образом, ''цель данного исследования'' заключается в @@color:red; создании методики развития языковой личности при обучении русскому и иностранному (английскому) языкам в неязыковом вузе @@ и разработке проблемы функционирования и взаимодействия вербально-семантического, лингво-когнитивного, мотивационного уровней, культурологического компонента языковой личности. Данная методика предполагает углубленное изучение теории русского и иностранного (английского) языков, развитие когнитивных операций анализа и сравнения, учебных, коммуникативных, культурологических умений студентов-нефилологов.
''Объектом исследования'' является процесс развития языковой личности при обучении русскому и английскому языкам в неязыковом вузе.
''Предметом исследования'' является методика развития языковой личности, в основе которой лежит концепция формирования языковой личности Ю.Н. Караулова. Теоретической основой развивающей методики являются следующие теории и положения:
1) теория вторичной языковой личности, национальной языковой личности (Н.Д. Гальскова, Г.И. Богин, В. Красик, И.И. Халеева и др.);
2) теория билингвизма (Л.В. Щерба, Е.М. Верещагин, Р.К. Миньяр-Белоручев, Н.В. Барышников и др.);
3) теория о зонах ближайшего и актуального развития Л.С. Выготского;
4) теоретические положения педагогики творчества (этапы и звенья творческого процесса как механизма развития) (К.Д. Ушинский, И.Л. Бим, М.Л. Вайсбурд, М.Г. Ярошевский и др.).
На основе объекта, предмета и цели исследования нами определена следующая ''гипотеза'': применение методики развития языковой личности на занятиях по русскому и иностранному языкам в неязыковом вузе интенсифицирует процесс языкового, когнитивного, культурного развития студентов. Это связано с тем, что при выполнении комплексных двуязычных упражнений студенты систематизируют и сравнивают теорию русского и иностранного языков, находят сходства и различия в языковом строе, самостоятельно формулируют выводы и применяют полученные знания при организации собственной речевой деятельности. При изучении текстов культурологической направленности студент узнает о культурных традициях, реалиях страны изучаемого языка, сравнивает их с культурой своей страны и начинает сознательно регулировать речевое поведение в соответствии с ними.
созданию и восприятию речевых произведений на родном и иностранном языках. В работе используются историко-теоретический, сопоставительный, психолого-педагогический методы исследования. Рассматривается также культурологическая перспектива исследования языка как отражения национальной языковой картины мира, духовных, эстетических потребностей личности на материале хрестоматийных произведений - прецедентных текстов. Исследование основывается на взглядах Ю.Н. Караулова о роли родного языка как основе развития личности.
В соответствии с характером гипотезы, цели и задач были использованы следующие ''методы исследования'':
1) историко-теоретический (анализ и синтез научной и методической литературы по проблеме диссертационного исследования);
2) сопоставительный метод для выявления сходства и различий в русском и английском языках и культуре на основе формы и значения языковых единиц на фонетическом, грамматическом, лексическом уровнях, особенностях их функционирования в речи;
3) психолого-педагогический (анализ устных ответов студентов, анкетирование, тестирование, беседа, наблюдение за процессом обучения);
4) ассоциативный эксперимент с целью выявления ценностных ориентации студентов по отношению к культуре родной страны и страны изучаемого языка;
5) констатирующий эксперимент;
6) обучающий эксперимент.
''Научную новизну'' работы составляют:
1) @@color:red;определение понятий базовой языковой личности@@ , вторичной языковой личности при обучении русскому и иностранному языкам;
2) выделение культурологического компонента в структуре языковой личности;
3) исследование коррелятивных отношений между процессами усвоения русского и иностранного языков;
4) разработка методики развития языковой личности при изучении русского и иностранного языков;
5) реализация принципов интенсификации и междисциплинарной направленности обучения, учёта специальности студентов при изучении дисциплин «Русский язык и культура речи», «Иностранный язык», «Культурология» в неязыковом вузе
''Теоретическая значимость'' исследования заключается в том, что:
- определено содержание понятий «языковая личность», «вторичная языковая личность», «национальная языковая личность»;
- выделен и описан культурологический компонент в структуре языковой личности;
- разработана методика развития языковой личности при обучении русскому и иностранному (английскому) языкам в неязыковом вузе.
''Практическая значимость'' исследования состоит в следующем:
- разработаны обучающие диагностические задания для определения исходного уровня развития языковой личности;
- разработана методика развития языковой личности при обучении русскому и английскому языкам в неязыковом вузе;
- предложенная методика развития языковой личности может быть использована на занятиях по русскому языку и культуре речи, английскому языку, культурологии в неязыковом вузе; на факультативных занятиях по названным дисциплинам; на курсах повышения квалификации педагогов, переводчиков, менеджеров; тренингах коммуникативной компетенции;
- научно-практические выводы, дающие положительные результаты, могут быть учтены при создании учебников, программ, методических пособий для студентов-нефилологов.
Мы предприняли попытку теоретически и экспериментально доказать следующие ''положения'':
- процесс обучения русскому и иностранному языкам является главным фактором развития языковой личности;
- развитие базовой и вторичной языковой личности взаимосвязано;
- при изучении иностранного языка происходит развитие культурологического компонента языковой личности;
- реализация модели языковой личности, предложенной Ю.Н. Карауловым, позволяет повысить эффективность обучения русскому языку, иностранному языку, культурологии.
Предлагаемая нами система упражнений способствует развитию языковой личности студента при обучении дисциплинам «Русский язык и культура речи», «Иностранный язык», «Культурология» в вузе. Она систематизирует и обобщает знания студентов по русскому и английскому языкам, полученные в школе, способствует осознанию межпредметных связей при изучении языковых дисциплин в вузе, формирует сознательный подход к процессу общения. Разноязычный материал упражнений способствует развитию базовой и вторичной языковой личности. Интенсификация обучения достигается при увеличении объёма изученного материала без увеличения количества часов. Увеличение объёма изученного материала возможно при подборе разнопланового по содержанию языкового материала и его особой организации в форме
комплексных двуязычных упражнений. Комплексность проявляется в том, что при выполнении упражнений студенты совершают ряд действий: анализируют, сравнивают, обобщают материал по русскому и английскому языкам; подключают языковую догадку, используют межпредметные знания при переводе незнакомых слов; при анализе прецедентных текстов и создании творческих работ совершенствуют речевые и культурологические умения, развивают творческие способности. Обучающие тесты, задания в разделе «Учебные умения» направлены не только на языковое развитие студентов, но и на выработку приёмов эффективной организации учебно-познавательной деятельности в вузе.
//Методика развития языковой личности// включает задания на лингвистический анализ, развитие когнитивных операций, стилистическое редактирование текста, упражнения на развитие логического, образного, творческого мышления, навыков переключения и перевода. В ней предусмотрены задания различного уровня сложности, поэтому их выбор может осуществляться в зависимости от уровня подготовки группы. Повысить успешность, интенсифицировать процесс языкового обучения в неязыковом вузе позволяет система упражнений для развития учебных умений, которые направлены на выработку приемов обработки информации, осознание межпредметных связей, формирование способности к самообучению, повышение мотивации к учению.
''В главе 1 «Теоретические основы развития языковой личности при обучении русскому и иностранному языкам в неязыковом вузе»'' мы теоретически обосновываем предлагаемую в дальнейшем собственную методику обучения. Для этого мы анализируем лингвистическую, психологическую, педагогическую литературу по проблеме исследования, опираясь при этом на концепцию языковой личности Ю.Н. Караулова, и обобщаем результаты научных исследований языковой личности в лингвистике, психологии, педагогике. Мы попытались отразить динамику развития концепта «языковая личность» в лингвистике, описать созданные на его основе типологические группы, изучить функционирование
iVBORw0KGgoAAAANSUhEUgAABC8AAAF3CAYAAACFVGEAAAAgAElEQVR4Ae297c9s13mfl3/Dn4vIH43UcuGG/JBEKkJ+qG0JppogAapDNkCJQCJpFAZKkDQSNlRJi2Ub2TyyUDBHIQObjI2KDi25digmVWSFUhyk0lFI8+WI0glpH5GmRPU41IuNKa6RfsP7WWfP7HmfPbOvBexn72e93utaa2bv9Zu11v5LE50EJCABCUhAAhKQgAQkIAEJSEACEhgwgb80YNs0TQISkIAEJCABCUhAAhKQgAQkIAEJTBQv7AQSkIAEJCABCUhAAhKQgAQkIAEJDJqA4sWgm0fjJCABCUhAAhKQgAQkIAEJSEACElC8sA9IQAISkIAEJCABCUhAAhKQgAQkMGgCiheDbh6Nk4AEJCABCUhAAhKQgAQkIAEJSEDxwj4gAQlIQAISkIAEJCABCUhAAhKQwKAJKF4Munk0TgISkIAEJCABCUhAAhKQgAQkIAHFC/uABCQgAQlIQAISkIAEJCABCUhAAoMmoHgx6ObROAlIQAISkIAEJCABCUhAAhKQgAQUL+wDEpCABCQgAQlIQAISkIAEJCABCQyagOLFoJtH4yQgAQlIQAISkIAEJCABCUhAAhJQvLAPSEACEpCABCQgAQlIQAISkIAEJDBoAooXg24ejZOABCQgAQlIQAISkIAEJCABCUhA8cI+IAEJSEACEpCABCQgAQlIQAISkMCgCSheDLp5NE4CEpCABCQgAQlIQAISkIAEJCABxQv7gAQkIAEJSEACEpCABCQgAQlIQAKDJqB4Mejm0TgJSEACEpCABCQgAQlIQAISkIAEFC/sAxKQgAQkIAEJSEACEpCABCQgAQkMmoDixaCbR+MkIAEJSEACEpCABCQgAQlIQAISULywD0hAAhKQgAQkIAEJSEACEpCABCQwaAKKF4NuHo2TgAQkIAEJSEACEpCABCQgAQlIQPHCPiABCUhAAhKQgAQkIAEJSEACEpDAoAkoXgy6eTROAhKQgAQkIAEJSEACEpCABCQgAcUL+4AEJCABCUhAAhKQgAQkIAEJSEACgyageDHo5tE4CUhAAhKQgAQkIAEJSEACEpCABBQv7AMSkIAEJCABCUhAAhKQgAQkIAEJDJqA4sWgm0fjJCABCUhAAhKQgAQkIAEJSEACElC8sA9IQAISkIAEJCABCUhAAhKQgAQkMGgCiheDbh6Nk4AEJCABCUhAAhKQgAQkIAEJSEDxwj4gAQlIQAISkIAEJCABCUhAAhKQwKAJKF4Munk0TgISkIAEJCABCUhAAhKQgAQkIAHFC/uABCQgAQlIQAISkIAEJCABCUhAAoMmoHgx6ObROAlIQAISkIAEJCABCUhAAhKQgAQUL+wDEpCABCQgAQlIQAISkIAEJCABCQyagOLFoJtH4yQgAQlIQAISkIAEJCABCUhAAhJQvLAPSEACEpCABCQgAQlIQAISkIAEJDBoAooXg24ejZOABCQgAQlIQAISkIAEJCABCUhA8cI+IAEJSEACEpCABCQgAQlIQAISkMCgCSheDLp5NE4CEpCABCQgAQlIQAISkIAEJCABxQv7gAQkIAEJSEACEpCABCQgAQlIQAKDJqB4Mejm0TgJSEACEpCABCQgAQlIQAISkIAEFC/sAxKQgAQkIAEJSEACEpCABCQgAQkMmoDixaCbR+MkIAEJSEACEpCABCQgAQlIQAISULywD0hAAhKQgAQkIAEJSEACEpCABCQwaAKKF4NuHo2TgAQkIAEJSEACEpCABCQgAQlIQPHCPiABCUhAAhKQgAQkIAEJSEACEpDAoAkoXgy6eTROAhKQgAQkIAEJSEACEpCABCQgAcUL+4AEJCABCUhAAhKQgAQkIAEJSEACgyageDHo5tE4CUhAAhKQgAQkIAEJSEACEpCABBQv7AMSkIAEJCABCUhAAhKQgAQkIAEJDJqA4sWgm0fjJCABCUhAAhKQgAQkIAEJSEACElC8sA9IQAISkIAEJCABCUhAAhKQgAQkMGgCiheDbh6Nk4AEJCABCUhAAhKQgAQkIAEJSEDxwj4gAQlIQAISkIAEJCABCUhAAhKQwKAJKF4Munk0TgISkIAEJCABCUhAAhKQgAQkIAHFC/uABCQgAQlIQAISkIAEJCABCUhAAoMmoHgx6ObROAlIQAISkIAEJCABCUhAAhKQgAQUL+wDEpCABCQgAQlIQAISkIAEJCABCQyawEbixaVLlyZ33nnn5Ny5c5Nbb711cuHChYWVvXr16uTBBx+cxicN1/hVRx7kRTh5U0Z1zzzzzOSOO+6YhnPm/+r6wvtsJvzee+89Y+OVK1dmRWAvtrXHxYsXZ3EW1YH8Y38fr1mGXkhAAhKQgAQkIAEJSEACEpCABEZMYG3xgkE8IgMCw7PPPjsVLhjQP/XUU3NxIgqQBoGBg/gIGHFPPPHE1I8zeTLIJ34cAkHScB2RIQJHX3ifzQmPKBJ7KCcuZZw/f35CeI4IHEnDuasO1BfRgrIohzg4/MlbJwEJSEACEpCABCQgAQlIQAISkMBZAmuLFxEfMvgmWwbjiBldjsE9wkOdbYAAgB8D+a70bRlt/DbPvvA2v7bMrvDkmTpFvJgnNLQM2jwRQpKW64gc87ilXM8SkIAEJCABCUhAAhKQgAQkIIGxElhbvMgMg8w4AGBmQnTBzKCfwXxc8shgHiEDsSAuaYiHI3/EgepIg/8y4Slvns34U2bEFPJkRkSd/ZE8EBsoG3tqnfrq0M68IC35Z/ZIrZvXEpCABCQgAQlIQAISkIAEJCABCUwmG4sXFeIy4kWECtJFCIgfA/8IFYR3iRcRKlJuK14sCk95Sct5kc3MKmltQmxAsCAvriNiRHxo47d1aPe8YCZKnY1SbfNaAhKQgAQkIAEJSEACEpCABCQgAcWLueIFIgMzIvqWcxCvChb1mg7Wihe10xGGEMI+IZTFUWdx1LiPPPLIZN7x9ttvTzxkYB+wD9gHjqcP/Nk3vzl58/Ofv+b45m/+5uTVj32s83jlzjsnL507t/RB/D/+J/9kWoZ943j6hm1lW9kHhtMHvve979XHca8lIIEDE9h45sW8JRhtvTKIr4PzzIQgDMfA/5DLRmJzFS7qEpKEt2fszuyJvjokbTbspO4RLSKEdJU5T7jAny9WDxnYB+wD9oFh9IGrX/va5Ntf+MLkyic/OXntV35lJja8cNNNk6/8xE8c7KD8V267bWoXNtpfhtFfbAfbwT4w3D7wgx/8II/uniUggQEQWFu8QIRgoN5u2Nku20gdETnqIB//djNMZiHUmQ4pI+JG4mdwnzyz1KQvPPktsjmiAnaknNSBM/7VxggOsaGvDsmL+BFq4JI61uvE9SwBCUhAAsMk8Bff+c7krc9+dvLaAw9MLt1yy06EiRdvumly6eabrzleu//+yZWHH77mSFzSLRJLLt999+TqF784TLBaJQEJSEACEpCABBoCa4sXDOyzrAIxIMJBnVnB5pQZ1FMuwkZmGbBUgoF6BvCEExc/zuRJXMSAOAb4hOe1oogI/J/ZH33hfTYTTp6US/nklyNlxEZsIE5rQ8Ln1YG6pBzOOMqDR4SQlJV6e5aABCQggeEQ+P6rr07eeOyxyYsf+MBCcQDh4PkbbpiKDtMZDz8SGt781KemogHCQQ5EkF05yqBMxA6EjVbQeP7GG6f12aUNu6qb+UpAAhKQgAQkMB4Ca4sXIGKwncE7A3AG7NXhV2diMFhn0I/gwIFwkQF80rH8gnSEk5YyqkMcQdAgnDMCQnV94YtsjvgR++q51o3r2NhlQ18dqr1cYzP5cVTxp43n/xKQgAQkcDgC33ryycnXb7/9msE/YsBXr7vuh0syHn54Kki8/dxzhzO0p2TEF2ZsIKxUIeOr118/eevpp3tSGywBCUhAAhKQgAQOQ2Aj8eIwJluqBCQgAQlIYD8EGOizJISBfR3oc81sijcefXQyZKGijxJiBfWodUOgcRZGHznDJSABCUhAAhLYNwHFi30TtzwJSEACEhg8AZZadM2yYLYCggWixik56ltnYiDWsNREJwEJSEACEpCABIZCQPFiKC2hHRKQgAQkcFACzDZgaUjXXhaX77rr5De3pP7si1FnYVw5f/6gbWLhEpCABCQgAQlIIAQUL0LCswQkIAEJjJLAvKUh7GPB3hBjW0LRzsLgrSRjYzDKD4KVloAEJCABCQycgOLFwBtI8yQgAQlIYDcE5m3AyStGx75kArGivpmE2SgKGLvph+YqAQlIQAISkMByBBQvluNkLAlIQAISWJEAg92rX/rS7GAJQnu89dnPTsP3tekl9jCToGsDTpaG7MuOFVEeLDpMsowEZvI5WFNYsAQkIAEJSGD0BBQvRt8FBCABCUhgcwIIFQgRiBOXbrllNuDNwHeVM+nZLJO83njssY3EDZaEYNc8wSIbcDqrYH4fYOlM2k8BYz4nQyQgAQlIQAIS2C0BxYvd8jV3CUhAAidLgF/heY1o1waXGexu+8zgGXEjB+W3sznwI/z5G2+cDbqrHexl4SyL1boly2jCUAFjNXbGloAEJCABCUhgOwQUL7bD0VwkIAEJjIIAMxSYDTFPsEAYeOW226YbXbLxI0ffUoPEY4DMr/ykZ78F8sqAedMzMyx4kwZl6dYj8NbTT8/aRAFjPYamkoAEJCABCUhgfQKKF+uzM6UEJCCB0RBg0M/Si1ZEyCyGNx59tFekWBcWSz8oP+IGsyYQN+qBOIEt1Q+xggE36XXbIYAQlT6ggLEdpuYiAQlIQAISkMByBBQvluNkLAlIQAKjJIBowBKMDFhzRiQY+xs5RtkhJpNpu6cfKGCMtRdYbwlIQAISkMD+CShe7J+5JUpAAhIYPAFmK7QzLbL0wpkMg2++nRtY98DwNao7x20BEpCABCQgAQlMJhPFC7uBBCQgAQnMCLCnBRte5pd1zizHYFmITgKVgAJGpeG1BCQgAQlIQAK7JqB4sWvC5i8BCUjgSAgwGGUZQIQLRAs20PQ1okfSgAcwsxUwDmCCRUpAAhKQgAQkMBICihcjaWirKQEJSGAeAcSJr99++0y0QLxgU0yXh8wjpn8lQF+J4MVSI50EJCABCUhAAhLYBQHFi11QNU8JSEACR0KADTnrbIsXb7ppZ28NORIkmrkGgSpgMFtHJwEJSEACEpCABLZNQPFi20TNTwISkMCREGj3tuDVojoJrEsA4SszMFhOopOABCQgAQlIQALbJKB4sU2a5iUBCUjgCAi8/dxzE94QkYEme1swA0MngU0IsPyIN9LQr3yF6iYkTSsBCUhAAhKQQBcBxYsuKvpJQAISOFECCBd1mcgrt93mhpwn2taHqNa0f1133UzAcN+UQ7SCZUpAAhKQgAROk4DixWm2q7WSgAQkcA2B+mYIZls4tf8aRHpsgcBbTz89m9XDDB+dBCQgAQlIQAIS2AYBxYttUDQPCUhAAgMn8MZjj80GlAgX/EKuk8CuCLzx6KOz/uYbSHZF2XwlIAEJSEAC4yKgeDGu9ra2EpDACAkweMz+Fr5NZIQd4EBVrm8gcZbPgRrBYiUgAQlIQAInREDx4oQa06pIQAISqATYQPHrt99+RrjATyeBfRCgr9U3kDjbZx/ULUMCEpCABCRwugQUL063ba2ZBCQwYgLTgWN5o4gbc464Mxyw6mzYyTKlvIFE8eyAjWHREpCABCQggSMnoHhx5A2o+RKQgARaAq1wwfR9nQQORaBu4HnpllsOZYblSkACEpCABCRw5AQUL468ATVfAhKQQEuANzxkjwuFi5aO/x+CwJWHH571Sa51EpCABCQgAQlIYFUCiherEjO+BCQggQETqJtzKlwMuKFGaNqlm2+eCRhXv/jFERKwyhKQgAQkIAEJbEJA8WITeqaVgAQkMCACChcDagxNuYYAy5nc/+IaLHpIQAISkIAEJLAkAcWLJUEZTQISkMCQCShcDLl1tC0EmHGRJU0sb9JJQAISkIAEJCCBZQkoXixLyngSkIAEBkqgChdMzddJYMgE3nj00ZmA8dr99w/ZVG2TgAQkIAEJSGBABBQvBtQYmiIBCUhgVQJ1IPjiTTdNfBXlqgSNfwgCvLo3MzB4G4lOAhKQgAQkIAEJ9BFQvOgjZLgEJCCBgRI4MwVf4WKgraRZXQQQ2Z6/4YapgPHV669XdOuCpJ8EJCABCUhAAmcIKF6cweE/EpCABI6DwNvPPTdh0Mev12yC6IyL42g3rXyHAH04sy8u3XLLOwFeSUACEpCABCQggQ4CihcdUPSSgAQkMGQCCBVsdpiBH4NAnQSOkcCVhx+e9WOudRKQgAQkIAEJSGAeAcWLeWT0l4AEJDBQAl+//fbZgO/NT31qoFZqlgSWI8AmsxHiWAqlk4AEJCABCUhAAl0EFC+6qOgnAQlIYKAE6i/Vl++6a6BWapYElifATCKWPk2XQLn/xfLgjCkBCUhAAhIYGQHFi5E1uNWVgASOlwCzLPILta9EPd521PJrCdTNZ93/4lo++khAAhKQgAQkMJkoXtgLJCABCRwBgbpBJ29pcIPOI2g0TVyJQJ1V5P4XK6EzsgQkIAEJSGAUBBQvRtHMVlICEjhmAggVz9944w+n1V933cQNOo+5NbV9EQH3v1hExzAJSEACEpDAuAkoXoy7/a29BCRwBAQu3333bLmIG3QeQYNp4toE3P9ibXQmlIAEJCABCZw8AcWLk29iKygBCRwzgbrPhRt0HnNLavuyBNz/YllSxpOABCQgAQmMi4Dixbja29pKQAJHROD7r746+er1109nXbx4003uc3FEbaepmxGo+1+8dv/9m2VmaglIQAISkIAEToKA4sVJNKOVkIAETpHAix/4gPtcnGLDWqelCLxy222z5VJvPf30UmmMJAEJSEACEpDA6RJQvDjdtrVmEpDAEROovzy/8eijR1wTTZfAegSmG9XecMMPBbzrr58wE0knAQlIQAISkMB4CShejLftrbkEJDBQAmfW/N9880Ct1CwJ7J4Ab9b5yk/8xPRgJpKvCN49c0uQgAQkIAEJDJXARuLFpUuXJnfeeefk3Llzk1tvvXVy4cKFhfW8evXq5MEHH5zGJw3X+FVHHuRFOHlTRnXPPPPM5I477piGc+b/6vrC+2wm/N577z1j45UrV2oR03ousnFRHcg/9vfxOlOo/0hAAqMg0L4W1cHaKJrdSi4gcGbT2rvvXhDTIAlIQAISkIAETpnA2uIFogMDeASGZ599djqgR3B46qmn5vJCFCANAgNHBIwkeOKJJ6Z+nMmTQT7x4y5evDhLw3VEhggcfeF9Nic8okjsoZy4+M2zsS8cwQbRgrIoh3ri8Md+nQQkMG4CbE6YX5pd5z/uvmDt3yHAm3byufB1we9w8UoCEpCABCQwJgJrixcRHzL4BhqDccSMLsfsBcSKOtvg/PnzUz8G8l3p2zLa+G2efeFtfm2ZXeHJM3Vq69im6QtHCIlIwXVEkHncUq5nCUjg9AkgVmSA5mtRT7+9reHyBJiBxBt38vlgOYlOAhKQgAQkIIFxEVhbvMgMg7qkIjMhuhBmVgSD/bjkkcE84gZiQVzSEA9H/ogD1ZEG/2XCU948m/GnzIgp5MmMiDr7o8/GvvB25gU8yD+zR2rdvJaABMZDgMFZXov6/A03uLZ/PE1vTZckgGDx1euumwoYz994o5+RJbkZTQISkIAEJHAqBDYWLyqIZcSLCBWki5gQPwb+ESoI7xIvIlSk3Fa8WBSe8pKW8yKbmVXS2tT+39rYF97uecFMlDobpdpWrx955JHJvOPtt9+eeMjAPnDcfeDShz40+1X5zX/zb/xM+71mH+joA69/5jOzz8lL587JqIOR94LjvhfYfsNqv+9973v1cdxrCUjgwAQUL360OWfbDogMzIhol3P0iRN94bUchA9mkrBPCGVx1JkpNe484QJ/vlg9ZGAfON4+8Mbv/u5sQHb5vvv8PPudZh9Y0Ade+9jH/Lws4OO94HjvBbbd8NruBz/4QX0c91oCEjgwgY3Fi3lLMNp6ZYZCHZxnJgRhOAb+h1w2EpurcFGXkCxjY18dUkY27KTuES0ol/RtmUnjWQISOD0CdbkIa/p9u8jptbE12j6BV267bSZguIHn9vmaowQkIAEJSGCIBNYWLxAhGGi3G3a2yzZSaUQO4tclEstuhhlxI/EzuE+eWWrSF76MzREVmHGRclIHzvM25IyNfeHJC5sj1MAl6et14nqWgAROl8DXb799NghzE8LTbWdrtl0CbuC5XZ7mJgEJSEACEjgGAmuLFwzss6wCASPCQZ1ZweaUERaAgbCRWQYslWCgngE84ZmJwZk8iVs36GSAT5q8VhSBgf8z+6MvvM9mwsmTcimf/HKkjD4b+8KpZ8rhjKM8eGTmRcqaBvpHAhI4WQL8Ypy3J1x5+OGTracVk8AuCNQNPNns1llLu6BsnhKQgAQkIIHhEFhbvKAKDLYjIDAAZ+BeHX51JgaDdYQHBIcIFxnAJx0zM0hHOGkpozrEEQQNwjnXmR/E6wtfZHPEj9hXz7VufTb2hdf6xGbqzFHFnzae/0tAAqdD4Puvvjp7uwjLRfrcN978/uQPXr469+hLb7gETpFAfb3wix/4gALGKTaydZKABCQgAQn8iMBG4oUUJSABCUhgPQKXbrllNuuiLhf59n/+88lnLr41+ejvX5mc++Qrk/d//OXJj/3il5c+3vvQC9M09/z2a9M8EDzIUyeBUyVQZzCxDEsnAQlIQAISkMBpElC8OM12tVYSkMCACbzx6KMz4YLlIggMiBUID6sIFavE/amPPDcVQyhHQWPAnUPT1iJw+a67Zp+py3ffvVYeJpKABCQgAQlIYNgEFC+G3T5LWffaAw9Mrn7xi0vFNZIEJHBYAnW5yL/+b35u8uP3XOwULN51z8XJ+86/PPnw45cnv/x7fzL5/EtXp0e1/iuvvj3zJ5x4HKR7zxJCCGIJMzSY6eHsjErW62MkUN9A4h4yx9iC2iwBCUhAAhJYTEDxYjGfwYciWmTDP6bLMjDSSUACwySA2PC5v/m+6Wf2Cz/505O/8qHPzoQLxIoPXnhl8onPvT5hf4ttOcr8jS+9Obn7yVenosai2RpVzNhW+eYjgX0RaN9A4itU90XeciQgAQlIQAL7IaB4sR/OOyuFzcqev+GGmYCBkHHl/Hk3LdsZcTOWwGoEmNGAIIEw8Ivv/6XZZ/Xvf+CBybvve24qKjBrYp8uggZiCaLJPEGDPTe2Labss56WNT4CChjja3NrLAEJSEAC4yGgeHECbc3DGlNkv3rddbOBEa+N+9aTT55A7ayCBI6TALMnbnv88mxZyPX/47+YfT5//7/9O9csATlkLREzECkWiRmZlcF+GToJDJkA98R6P3QGxpBbS9skIAEJSEACyxNQvFie1eBjsmSkblrGLAxeHed+GINvOg08IQLMomDGQp3N8Jd/4d9Onn7vz03Fi4t/9brBL+9CzGDvjHn7ZrBPB8IMe2XoJDBEArzBRwFjiC2jTRKQgAQkIIH1CSherM9usCkRKy7dfPPsV15EDPfDGGxzadiJEHj8373Z+VpTNtz8o3/4kdnnkaVex+RY9sKeGfNmZShkHFNrjstWBYxxtbe1lYAEJCCB0yegeHHCbcxU2frLE0tJ3A/jhBvcqh2EAKIFryGtMy3YR4KZCwz866a6vA3h2N2nL741fQNK114ZCBm8vWSbG44eOy/tPywBBYzD8rd0CUhAAhKQwDYJKF5sk+YA88p+GHkjCefnb7xxcmy//g4QrSaNnECXaMEGnMxSiJuuvb/++umsCzbW5f9TcouEjPd//OUJjHwF6ym1+HHWRQHjONtNqyUgAQlIQAItAcWLlsiJ/s9+GPzqW0WMS7fcMvi19yfaHFbriAksI1qkeizXymfu1PeeiZBRZ6BwnWUlzsZIr/B8CAIKGIegbpkSkIAEJCCB7RJQvNguz8HnxgDKV6sOvpk0cIAEVhEtMP+NRx+dCRev3X//AGu0G5OyR0bXZp9s8rnv18LuppbmeowEFDCOsdW0WQISkIAEJPAOAcWLd1iM6qp9tapLSUbV/FZ2BQKrihZkPR0k/Wi5yIs33bRCaacVlbeWsGFpOxuDJSWKGKfV1sdSGwWMY2kp7ZSABCQgAQlcS0Dx4lomo/FxKclomtqKrkFgHdGCYtjXglcUs1yEDXP5nI3dMRuDDUzbTT4VMcbeMw5TfwWMw3C3VAlIQAISkMCmBBQvNiV4AunbpSR5K8kJVM0qSGAlAgyyP/r7V655e8j7zi8/U+Dy3XfPlovwxh/dOwSypISNTetsDEQM98R4h5NXuyeAgMGsqOxJ88Zjj+2+UEuQgAQkIAEJSGAjAooXG+E7rcTtUhJ+PT71TQZPqwWtzboEGDjzik82l6yD6lVEC8pGrMhg6PJdd61rzijS8VaWdiYGe2IgcOgksA8C01lSRcBAeNRJQAISkIAEJDBcAooXw22bg1jGFPdLN988G4AxEHvtgQdO7hWPB4FroYMjwL4LDJirYMH1qqIFFWv3uTi116LuovG6lpMgIDH7RRFjF8TNsyWggNES8X8JSEACEpDAcAkoXgy3bQ5q2VtPPz1dr59fkVlKgp9uvAQYTLIPBIN9pvm3A37+Z+BJGHE+8bnXJ3/w8tXBAUs9fuojZ5cuYD+bS66zfIEBEJve8nlhnwuEDN3yBGiTdmNP+hL9TSeBXRNQwNg1YfOXgAQkIAEJbIeA4sV2OJ5kLjzQMfU9Agbnr99+u7MwTrK151dq3uyELvFint97H3phuizjMxffOsgv6hEszn3ylWtEF5YusJnkOqJFqF265ZbZ50SRL1RWP9MGzHqp/QiR6dMX31o9M1NIYAUC3O/qrEPvdSvAM6oEJCABCUhgTwQUL/YE+piL6drQ0wHaMbfocrYzkOxaUsFmi/xKzoCf2RWIGxxc4/fBC69M3miiPlcAACAASURBVPPQC2cGoHUwynUVMzYRDebVBLGCWR8sP0CwaPeywAYGyey7sKmrG3S+dv/9m2Zn+slk2p9aEcM3k9g19kGgCvbs+4SooZOABCQgAQlIYBgEFC+G0Q6Dt4IHOAZmzsIYfFNtxUAG9XXAz+yEu598deXZCRE1EDTazRlbQSPLTRAcEB44ECEWucTjjHiC2IIw0uad/xFe1qnHPBuqcOEGnfMore/PjIuuN5PQr3QS2BUBBYxdkTVfCUhAAhKQwGYEFC824ze61M7COP0m560bGexnSUWfiLAsla+8+vZUZFhGzIgNm575BZ8ZIZS9TVffLMIrF3W7I4CY1ooYLCdxT4zdMR97zgoYY+8B1l8CEpCABIZIQPFiiK0ycJuchTHwBlrTPASKuicESz+2PeBvTWPJCL+uL7vcpE/IwGaWtDDY3aXtrXDh1PK2ZXfz/zwRg9k6u1h+tJtamOuxEOD14Zlt6BKSY2k17ZSABCQggVMmoHhxyq2747p1zcLAT3ecBOr+FsxW2NZsi3VoIDxkLw3OiBv1YBBbw9cpY9007PeSAc3zN9zgmvh1QW6QrkvEQNhCfGM2xraFDPpjXaLUdb1BdUw6YAJVqOSNQr5JaMCNpWkSkIAEJHDyBBQvTr6Jd1vBrlkYrz3wgAO63WLfeu5VuGDmgq6bAAMXXhuMeOErUbsZ7dOXWTvtK1YzOyebwjIrg7fcdAkO+BFGHA6WTLH3CkfXq3ST97xzXhVMXrsQUfbJ1rLeIVAFDD7/ChjvsPFKAhKQgAQksE8Cihf7pH3CZbWzMPiFylkYx9HgChfLtRMzLhQulmO171jMEmLD1r633MwTHXbpjwjCZ0wxY9+9YrvlKWBsl6e5SUACEpCABNYhoHixDjXTdBJwFkYnlkF7Klws1zxnBi7XXecvr8thO0gsloywrIQZGe3rVheJFGwISnwO0maZErM7skSpax8VyiM8e7eQftGbdTIjhFkfuuMicOZ7wBkYx9V4WisBCUhAAidBQPHiJJpxWJVwFsaw2mOeNQzwMpjj7R+6bgJnBiwKF92QjsS37qWya5MjovBq3nkzQlhmsqt9OnZdv7Hmf+b7QAFjrN3AektAAhKQwIEIKF4cCPypF8ssjFduu222sSF7BLgXxnBanV+KI1wwsDrk5pzDoXKtJfTZujmna92vZaTPcgQiZix6TbCzMpZjeehYVcDwLSSHbg3Ll4AEJCCBMRFQvBhTax+grtN9Aq677p0BoHthHKAVzhbJr8/84ot4wfR2hYuzfPLf5bvvnvXbF2+6yU1oA8bzVgggIC6alcHnk41Ds+Eo4oduOAQUMIbTFloiAQlIQALjIaB4cQJtPfSHWmdhDKeTIVTkLQoIF11r+Idj7WEsob9euuUWhYvD4B9lqcvMyshMKQQNlprkjSbsnaEAeZhuo4BxGO6WKgEJSEAC4yWgeHECbZ+H2pyZepzX/fGAy8FO/DzkHnKw2jULAz/d/gjQL9JP2PNCd5YA+7XkjSIsF7l0883OuDiLyP/2QIDvaTYM7dv8M59lznlNK697zff9HkwdfREKGKPvAgKQgAQkIIE9ElC82CPsXRRV9y6oD7J913nQ5W0TiBv7+vWu640kX7/9dgeIu+gcTZ5MUU+/YGCkO0vgjccem822QLi48vDDZyP4nwQORICZGXmbSd6isuiNJvmcc65LT5yhsZsGvHzXXbPvDpab6SQgAQlIQAIS2A0BxYvdcN1brjyMImBw5NV+nNkULq/9qw+yfdcsKWBKMr/c7XKWRvtGEn7tZvCo2w0BBj5pe98scpYxghoCWjbm/Op1103onzoJHAMBvvuZRZXv/XlvNsnnP283OYa6HZONChjH1FraKgEJSEACx0pA8eJYW24Nu/n1rn3QReDIQ23Xub7Kb9u/2nXNwmCvAd/osEbjLkhCu2eDznff95zr4wsr+trzN944Ey7cmLPA8fKoCSA+I0LPe7sJ3wnMvOP7QbcdAgoY2+FoLhKQgAQkIIF5BBQv5pEZmT8Puvx6x9KCRYJGfrXbppDBAJJBY3755uxrVbfXAdkDJcLULmfTbM/i3ec0Fc7Ka1Cnfe7++3dfsCVI4EAE+Ozz/Y6Ame+DnBUxttMofK/Uexn7YegkIAEJSEACEtgeAcWL7bE8qZwQJ1hqsOhVfjzwfubiW1ur9xuPPjphyn5EDJaSfOvJJ7eW/xgzoo0yQOFXWN1kMt049vrr3+ln11039ZONBMZCIEJGu28Gm31uU5geC89aTwWMSsNrCWxO4Puvvrp5JuYgAQmcDAHFi5Npyt1WhKnFDH671lOzTwabfm5j+jEPfnXqLULGix/4gHsQrNG8zKSJcMEmf2N3PADVV6DSt+hr9DmdBMZIAKGCvTKqiMH3uTO0NusNfKc8f8MNM4HUPXQ242nq8RBgJu6V8+evuVdzv+YHLe7hbIrrZ2o8fcKaSqAloHjREvH/XgKIFPOmH7OsZBuzMbgx1em304Hm3XdPVOB7m2cagcFH9rlAcBrzr6kMJHgYog/loG/58LNcXzLW6RPg+4G9MSJ2cnam1mbtziAsMwkZdPG/TgISuJYA92g2bK/7T+VevejMD1vOzr2Wpz4SOHUCihen3sI7rh9LS9qHXh58tzUbgzXDeQDkJsZDIANR3XwCDESyzwW/qI75V1QebOoDEX3JV6DO7zuGjJsA3+d1FgbLznTrE2gFDMX39Vma8vQI5IcFnutakeKV226b3qt5BuSHBpZ7cu9mtmSd1UQ6RAw/W6fXP6yRBOYRULyYR0b/lQgwG4Ppx12bwWWTz5UyLJG5wb12//1nbm4MSP3lvEAql3WfC5aOjNG1ogUPODwM+YAzxt5gnVchwHd5XR6IEDrmmVursOuKy+ArAzMGWdzPdBIYOwFmWrSixaWbb156/yk+V3V2Lnnhp5OABE6fgOLF6bfx3ms4bzZGXs237kwABp7c3PIgyJn1jw5I32nise9z0SVa0GcUut7pI15JoI8AYgX75GQZCQLGut/bfWWNIbwVMMZQZ+sogS4C3IsR8epz3CY/LLDRe81LAaOLun4SOC0Cihen1Z6Dqg0PwKyb7pqNwbISdrZf54GY6YPttEGWkoz9Fy1YjnGfi3lTTxUtBvV1oDFHSIDZdBEw+G5Z5/v6CKu9E5Pr7EE2HNRJYEwEuE/T76vQsK17dF2eRf4KGGPqWdZ1jAQUL8bY6geoMw+9/JJX11PnoRghI69dXeWNJax/rPthsJQEYWOMDqEIjjAdyz4XPLC0D0M8uGzrgWiM/cg6S6AlUGdzKWC0dFb7v75JSwFjNXbGPl4CXa8n37bAgDhSl5FsO//jpa/lEjg9AhuJF5cuXZrceeedk3Pnzk1uvfXWyYULFxYSunr16uTBBx+cxicN1/hVRx7kRTh5U0Z1zzzzzOSOO+6YhnPm/+r6wvtsxh7yOH/+/LScixcv1uyn9mJbe9R4i+pA+bG/j9eZgk/oH5aVzBMyGHzzgPz+j788ff0qby75g5fP9pGKgiUjTDmsav7Xb799dEtJ2FckYtAp73PBAwpLQ9pXntL+9AOXh9RPh9cS2A6BdiPPU/6O2Q6x+bk4wJrPxpDTIsD9muex+nzGDCT8d+FaAcPngV1QNk8JHJ7A2uIFg3xEBgSGZ599dipcMKB/6qmn5tbq3nvvnaZBHOAgPgJG3BNPPDH140yeDPIpIw6BIGm4Jj/+j8DRF76MzckzAkMVJbAjZSBuYGeOK1euTM3sqwP1RbTAFsqgnjj827KmASf+J0JG19KSDMZzjqjBLI2P/v6V6StZI2xwk6pLSdi8iQ2hxuDq1G5eYXuKjvbll8p2gy9m3vAw5L4np9jq1mlIBJg9V2fOKWCs1zrtAMtfiNfjaKphE2hnW/B8tg8xgWeBzMjlecFXFA+7n2idBNYhsLZ4EfEhg28KZzCOmNHlGNwjNNTZBggA+DGQ70rfltHGb/PsC2/z6yoTAQF7IkK0gkLEi9Y/dW4ZtGUijiQt15QDw3ncku8YziwZQcxgMP6+8y+feVCOgDHvjLDxd/7xlyef+p9++YzKz8ZQp3zzqlO6eUPAKTkeQtjLpL7qNL/g8OslD/27+gXnlDhaFwlsi4ACxnZIOsDaDkdzGR4B7sn7nG3RRaDugeEbfroI6SeB4yawtniRwX1mHIAhsxa6kGTQz2A+LnlkMI+QgQARlzTEw5E/4kB1pMF/mfCUt4zNiRvbUmb8ERsoG3tqnfrq0M68IC2zSzJ7JOV4fofA51+6OmGQjqjxwQuvTIWNeSIG/n/lQ5+d/LO/9t+dETG+8sDH3snwRK4YSCDaUGdmrpzC6wx56HjtgQeu2Y0c0SKzLE5ZjDqRrmk1TpiAAsZ2GrcOsPiF2Nlj63OFpfeF9fltKyVLOuvsyH3Ntuiynx838mOH+8t0EdJPAsdLYGPxolZ9GfGiigERAuLHwB+/uC7xIkJF4rTixaLwlJe0nOfZnLixLWkQGxAsCOc6IkbEh746tHteMBOlzkZJOe35kUcemcw7vve9703GeLz+1tuTf/38tyePfeGbk//1M69OfvZXXzzzZpO//4EHJl/4yZ+e3cA+/dd+dvIP/vdnpmmOnRd1f9fdX5kKF3/57q9M/v0r3znaPvCdL395cvkjH+mcYcHDx6UPfWjyxu/+7tHW79j7mvaP8/t1UbvzffM3/rc/mu2zw3fwoviGdfchvtcywHrhppsm3/3TP5XjnOcZ7hOv/cqvTPc2euncuQm8wq49E84eSMT/9he+INc5TLf1ubz6ta9NYF7b4bWPfezgffnyfffNbLpy4cLa9vzgBz9oH8n9XwISOCABxYsf7ZvRtsE88aKNhxhRBYt6TdxWgKnpCUMIYZ8QZl9w1FkcNe484QL/t99+26Mw+JM3r06e+Y9vTj7y6f80+VsP/b+TX3vv2ZvqL77/H0zefd9/nDz2hSsT4h4bP2z+Gw8+Pxs4PPoHV46uDq//7u9OXrnzzslzN9wwe7ioDz4IFlf++T+f/Nk3v3l0dTu2/qS9fn+u0wem30NFwDjG76F16r3tNHzP5bvvj37+5/2++9G9nO/+b/7mb07vExevu27GKKxWPcP2G/fdN+Hes+02HHN+r37sY5PaPi/8/M9Pvv0f/sNgGGNP+sq6diHy6CQggeEQ2Fi8WGYJBtXNIL4OzluBgIH/0JeNdDUddmf2RF8dkj4bdsIlokWEkOwBkrieNyfwr3711yd/+F/91dlN7LG//rcmf/kX/u102QWbfx7LkgvsfO9DL8yEi2PZNI91sEwpZS1snVaahwqWhPAaQTb5ch+Lzfu7OUhgHwT4PmKvnSzjO5bvo32wWaUMNh3Od+HYp7i/9dnPdr5NCj7cJ3gVNgevSufgnsFGkBwsFYg/ccK068y9iHuS95tVeuo7ceFd96OibWA/NFf3l2H/C50EJHD8BNYWLxAhGKi3G3a2yzaCqN1cE/9ssJk4zEKoG1emDAb4NX4G98kTEWSZ8OS3jM2tsDItYDKZ2ldtjOAQG/rqkHyIH6EGjqljvU5cz9shwE2sPtB84Sf/68kN/8Pj0wdv9o5AxGDT0KE61ppX4YI9QIbsqmDR9fDIetgIFkOuh7ZJQALzCShgzGezSgjfhfmeHKOAgZBQB8NhwX0CcWfdN1WwFwaiBnwZYCffelbIWL6n8hzVbsjJc9WQ92x549FHZ+0+RIFlefrGlIAEILC2eIGAwIwBBvKIAREi6swKNqfMoJ7CEDYyy4ClEu0shQgGnMmTuIgBcZm9kdeKZr+JzP7oC1/G5pQVWyIqtP7YgI2tDUk3rw7kgx2kiwhDPeERIST1SZmet0uAm1d9cGEZSX45jIgxtJkYdXNObB3qL5x9ggVvCYG/m6ttt0+bmwQOSaAVMD7xudcPac7Rls33Y+5NDLhP3eV+0YoWCBYMOHcxIObewz2osg5zzgoZ3b2OtuLtX3XmJO3EzJdjcOyBknb2+eMYWkwbJTCfwNriBVky2M7gnQE4A/bq8KszMRisM+hHtIhwkQF80rH8gnSEk5YyqkMcQdAgnHOdRUG8vvA+m1NWRIhWvCCcsNjYZUNfHVJGzthMfhxV/Em45+0T4Fec+ivM7/3M350uIxmiiHEMwgUPmbwlpD7Y5EGBh8RdPYhuv2eYowQksA6BVsC47fHL62Qz6jQMEOug+pQFDAa97f2Cuu+zzty3uDdV5rlvKWS881HsmhWDAER/PRaHrXnmc/nIsbSadkqgm8BG4kV3lvpK4DgIcDOry0i+ct31k3/wf/yr2SwMhIxDz8TgF8y8DvVd91wc3IwLRKB2CikPfbv85ew4epdWSmB8BBQwNm/zOshicH9qvxIjGFy65ZbZr+DcL7gPr7ssZHPiP8xBIeNakl2ixdCXiFxbi3d8EMYiTiFa6SQggeMkoHhxnO2m1Vsk0C4jeemf/dbkw49fPqiIwWyL93/85ZkNCBf4DcV1PdTwqwZrk0/tYXsozLVDAsdAQAFj81biOzS/Ep+SgPHGY4+dmW3BjIdDixZdrRUhAxE+g9165pd7ZhqyuegxzT7oqmuXX9f9fQgCU5etq/rlBys+V7SzTgISOD4CihfH12ZavAMC0ymsZTMvNkz7xjf+9BoRg9kYTIfe5caebBya5Suc33f+5UEIFzyktWteeaDLVN9TfIjbQVczSwmcPIFWwECIxU+3PAEEjAyYj32gRV3a2Rb8aHAMDtsR5ectLaGNqBvPDIgzV7/0pWOo1jU2cv/G/q79R45lX4trKtXhgWCRzxWzRnUSkMDxEVC8OL420+IdEeCmVh9Q+HWFGzpCRTsTA1GBB/LPXHxrK9bwYP/4v3vzzNtEmG0xlI3vTvmXmK00oJlIQALXEKjfm7wpSQHjGkQLPeo099yPFiYYYCAD4gwWpwP9gb+ZYhHCzMhg88fMjKl1q9e0F4NjBH9maAxV1MA2hJdqO9f5UWIRj2MNq7Nthzjz51i5arcE9kVA8WJfpC3nKAggVtRX1tUpuxExEBXqzAj2pLjnt19ba3YES0GYyZF9LZIvsy12Obtj2cbgVycewuqDzalMH12WgfEkIIH1CVQBg++5IS1/W79W+0t5rAIG99K6HxKD/VPbZ4D7I3XimaH+8FHvl+01zxSZqYGwkdka5LUPRzkRLLCltW8M93f6ZpYEMdNEJwEJHBcBxYvjai+t3RMBHkjqTb3ugM6vh7/8e38yefd9z50RMRAeeDhHjGDpxx+8fHV68LDOwf/MpCDs3CdfmfzUR65N/56HXph8ekuzOTZFxYNVZcDDmb9SbErV9BIYHwG+9yLMch7KjLJjaYl6PzqGGRgMkOvyA+4dY9lfgHtkBA2EgL4ZGvUey3XEDQSOzNyoIgczONoD3q0f/5OOg5kV7Y8QtVxsZGnMWNqIzz1LYcKA9tJJQALHQ0Dx4njaSkv3TICHkPrgwQNA6z7/0tXpkpJ2NkZ9UO+7Ji2/Tg7lF8np8pky2+IUfzFr29H/JSCB3RJAlK3fk+6DsRrvOiNwyAIGQn/9RZ9B8dgdv/TzPAEbliwgaqwjbGSwvY0zMw/oU6e0n8Wq/Yw2gCX9lTbSSUACx0FA8eI42kkrD0RgOpC/6aaZQr/ooZGH87uffHXC7IlFggUP8CwL+eCFVwb56tP64Mna3jH9GnOgbmaxEhgFAZbC1e9HZqqx149uOQJDFzDq3gmI3mMeGC/Xoj+MNZ05UcSNKnBkgL2JYEEe9B1mGCCiOFB/h3u4KrKt0mONK4HDElC8OCx/Sz8CAtzo60Mjg3seNvocD+rMzMgxlJkV8+xuN1ZzKuU8UvpLQAKbEGDZXRV4mYUx9O/HTeq7zbT1XrRITN9mmX15tbP1WCayzD2yL1/DryWQWRyIEF2H3K9ltsinfp78oWYRKcMkMBwCihfDaQstGTiBukM1an3dB2Pgpvea1/5i5gNQLzIjSEACGxBA1K2zMBAz2A/IN5L0Q60DrkMLGMyuaGfr+ct+fxsaYxgE6KtZHsw+IzoJSGD4BBQvht9GWjggAtMHteuumy0j6doHY0Dm9prCjZuH30yd5BczHzx7sRlBAhLYEgE276x7YbCURBGjH+4QBIzXHnhgdu/gHuJsvf52M8bwCNQfppjNopOABIZNQPFi2O2jdQMkwKwEBvmzAf8HPnCUA/5pPYpwwcOwwsUAO5wmSeDECTDbor5SlVkYvI3J/TAWN3wrYOxrxly7TIRfrh30LW4rQ4dLwNkXw20bLZNAFwHFiy4q+kmghwA3OzazjICx7D4YPdnuLZiH3DrVl18edBKQgAQOSYB9L9jMuO6HoYixuEXqr8Z8p+9aRPjWk0+euXeM6TWoi1vC0GMmwDLgPM/t+jN0zJy0XQJDIKB4MYRW0IajJVAfHKfTZh97bPB1qTdpbD6lvTsGD18DJSCBXgLshzFPxHBPjGvxtd/pV86fvzbShj7MtmBPgAzwOPuGhg2hmnxQBHh9LP36+RtvHJRdGiMBCZwloHhxlof/SWBlAqj02fCJG9/Xb799sMsv3Jhz5eY1gQQkcCACvH66FTHcE6O7Maaz6cp+TOxltK23JyCGVNHC16B2t4G+x02gioD+qHPcban1p01A8eK029fa7YnAdA1w2QcD5X5IUw9Z5lJ/NXOq7546hsVIQAIbE+iaiaGIcS3WruWMCA/4r+NYIsK9rAoXl26+ee381rHBNBLYJwFnX+yTtmVJYD0CihfrcTOVBDoJMI22PuixG/u6D46dBazh2W7MyV4dh7ZpjWqYRAISGDmBLhGD/TFue/zy5Btvfn/kdN6pPm/9qLMB2QvjjcceW+p7n3sDcVvRgvz8Nfodxl6dJgF+dMozXF9//87nPjeLmzQ5ExaH30t/+2/n3+n5P3/5y9O01Z94f/zRj56JlzKqf1d+JOry//Nvf3vy9V/4hclXf/qnp+HPvec915SRAimDcPIhfi0TO/Gfd6S+hNd0yXuZ87d/53cmf/QzPzMrA7uxH0ee88pOmcTn+nuvvHKmuC7/eXmdSTiZTKhXbIJJtanalfonfeyN/7zy4p909ItLf+/vzepK2XDRnSWgeHGWh/9JYGMC7etUmb67r13gW+Ontlx//eyL0DXKLSH/l4AEjo0AG3u2bydRxDjbiswGrG8jyUMyyxqZUXH1S1+aLSvhGsGCZYV1I+ekYW8nBe+zfP3vdAkwu4i+37f3BQNT4jGg5Zrjm7/2a1O/DFqhRJwqUuAXMaD6E68d+KeM6t+VX1c5DPwZ/EaIYBCcgTzn6uL/n37pl6b14Ew5DKRxDKpTx8TN/5wjMnTVoZYz7/pPf/3XZ+VhJxyxGzGFvBEkUl4Yc44f4aSjfPyrIw84xJFfGMKVI+2ROJyTHwyqTTUv0pIXdlTX+sdOzqTnqH6kpQ7UmTB4UCbXXfnXssZ4rXgxxla3zjsnMN3c7Ec3QL54OHaxidq8ivCgyayPlM2571eEeXnpLwEJSGCIBJhtMU/EcGPPH7YYvyRnMFbvB33XzLRA/NjWvhlD7D/aJIEuAnX2BbOY5jkGn3yOGGTGxY9zHHGqSJGBOgPV6k88Br3VJb/q3+aX+K1/O4BOvAgTCBK4rjLwT/rES/r45/967qpDDe+6RkxoWRAvdrViRPw5t67NB9uxqeaR9JVpV50QPWr7UFYEDdoQl3StLfP8SUOebb41rzpzJEJLKzZNCx/xH8WLETe+Vd89gfZtJCj5zIbYpWuXibCG81AzP3ZZT/OWgAQkAIEuESN7YkjohwQQIRiIsd8RD/NdB4IFywoRup1pYc8ZM4EIfsxEmvdZyCC4Dly7/PisZbCagTq/5reDWOK1g9TkVwfaNb/aRq0/v9ozAG8dg2PiJs8MtLGtOuIRVgfThCd+jZtr8m0P6toKIInPOXWsIlDCKavyrfFbf8IyKyR1ia21DimPsLjEy/+JE5Ei/py72LW2JL/Wn/Rtu9e8u64pL/2nK3yMfooXY2x167xXAggHuRHmS53NM3exoSdTf+u0X345m3fj3SsEC5OABCSwYwLMtrj7yVcnLCHJ8VMfeW7CW0t0Zwlw/+FATOeswH2Wj/+NmwCfiTyv8SNUl8sAtw5Qu/zq4JNZD8wOYDDdDmL5n7CaHzMGSF8H2rGr61wHubXc1v4aRhr+X9ZlYN4Vn3wQEKgDB4N/6sQRQaFNl/xqvds49X/iUU5X/HZmBAIOR3VJX4WJ2JB44U45XUc4J11XnHk2kjbpU17O2IbY0+Y3L37Sje2seDG2Fre+ByPQbqLGlxMixjYeGrnRsrdGvvDcXO1gzWzBEpDAgQkwE6N9xer7P/7yhL0ydBKQgASWIZAfnebNvmDw2w5QMzCuA2viMPjMEgYGvLh2EEs4MyXyHFfPSUM6/BmQU0Y9Uk7q1v4f/+SRATFn4i7rMmDvik8+1VbihFMVC2ra5FeZ1fD2mniUMy8+DBEAEEuIV5eMVHtq+tiQsvI/aYnXHplJMi9eZoDUMpJ32+7xj/CC7bU86pC2StyxnxUvxt4DrP9eCTALomsTNYQHZk2sur6Y+GyyxpdbDm642xBE9grGwiQgAQlsmQBvJ3n3fc/NZmEwG+Ojv39ly6WYnQQkcIoE+mZfZOBaZxQw6ORZrA5aM/hkAFqXccwbxNaBawb+lBWX/PJ/zq1/16wD4jLrg7jJs6sexKNe2FLrh3/ip9x6rvnGP0xSXvxzTnjXshHC6pIP0iQ+5y6XPT0ye6JNH2Gh1qutU8qYJ7ik3KRrbZnnT7p57d72j5TRtmv8x3xWvBhz61v3gxHoWkrCFxQHszHa3eCroQgghBMvaTg726JS8loCEpDADwn88u/9yeRd91yciRjvfegFZ2HYOSQggV4C7AEzb+NaBpssh6gug946mK3PadV/3iC2K7868Cc/0rau9Z83gI5/Zg/E5loGeWfwn3gp1pWSJAAAIABJREFUL+nzfz1jQ5tPZhTMEwIQEeDY1olyya+dORF7K8tqQ9KRZ7tkJGUxu6G6tk6JR/oqcpAGe+KXdK0t8/xJP6/d8W/7U+rSsqm2j/Fa8WKMrW6dB0NgOnPirrvOiBB8WbcHMzNasSJxEC14Bap7WwymWTVEAhIYGIGupSTOwhhYI2mOBI6AAL/k59d7ztV1DazzrNYOmOcNYrvyq4IA+XUNZlt/BtgMvhkQkx7b5tkdf2YtEC+zF9r6YVsG5tXOXGMDaciDA8GC8plxkgF/4tZzZpjACLEDgSDiQ5uOfCmH8zyX5TdV+KDdyJ+0+MdGzqk/1ykvNsGQa46kT9lhkf9jzzx/wue1e9IQznX2R4FDV3unrDGeFS/G2OrWeXAEEB7YOA2FHzGCL9e+g7eIuCv84JpSgyQggQET+MTnXncWxoDbR9MkMHQCDFR5PmMgm4FubE5YHcwSlwFou3xh3iA2eXFOfgxm48ivazDb5Y99DMwpn3AG9TWv5MkZ/wz6++KRV5fDvz3g1Na9Ky2iBUIB6bEXu1u+pAuTyrjNL+JLLZf6tbZ1/V/zrTYRl7rU8ORZ/bBlnj9hi9q9bQPKJz48dO8QULx4h4VXEhgMAdZaImawyzUH+1jkGsFi1b0xBlMxDZGABCRwYAJdszB+40tvHtgqi5eABCQggW0QQGRACKkugkL1q9cIEAgUrRBR43g9DAKKF8NoB62QgAQkIAEJSGCPBNpZGLc9fnnC61Z1EpCABCRwnASYrYEIUZeMUBPFi+Nszy6rFS+6qOgnAQlIQAISkMDJE2AWxnseesHNPE++pa2gBCRwygRYIoJAkX0+2iUnihen0/qKF6fTltZEAhKQgAQkIIEVCTDb4sOPX54JGD9+z8XJpy++tWIuRpeABCQggUMRyLIP9uto35ByKJssdzcEFC92w9VcJSABCUhAAhI4IgLse/Fjv/jl2XHPb792RNZrqgQkIAEJSOD0CShenH4bW0MJSEACEpCABJYg8JVX3568+77nZgLG+z/+svtgLMHNKBKQgAQkIIF9EFC82Adly5CABCQgAQlI4CgIsIzkgxdemQkY733ohQl7Y+gkIAEJSEACEjgsAcWLw/K3dAlIQAISkIAEBkjg7idfnQkY7IPBrAydBCQgAQlIQAKHI6B4cTj2liwBCUhAAhKQwIAJ1H0wEDD4XycBCUhAAhKQwGEIKF4chrulSkACEpCABCRwBAQ+/9LVybvuuTibhfGJz71+BFZrogQkIAEJSOD0CChenF6bWiMJSEACEpCABLZIgCUjVcC47fHLW8zdrCQgAQlIQAISWIaA4sUylIwjAQlIQAISkMCoCbCR53seemE2A0MBY9TdwcpLQAISkMABCCheHAC6RUpAAhKQgAQkcHwEut5Egp9OAhKQgAQkIIHdE1C82D1jS5CABCQgAQlI4IQIfPjxy7MZGLxKVQHjhBrXqkhAAhKQwGAJKF4Mtmk0TAISkIAEJCCBoRJQwOhvGfYK+YOXr/qa2X5URxWDdn383705+ejvX7nmYENb2lxB76iaVGMlcDQEFC+Opqk0VAISkIAEJCCBIRH45d/7k9kMjJ/6yHOjHqQzoL3nt1+bvP/jL8+Y/NgvfvnMNYzYK4SB7zfe/P6QmlJb5hBAhKC9aDdmGbVtuuh/4tMn6Bs6CUhAAtsgoHixDYrmIQEJSEACEpDAKAn8xpfenA3ofvyei6MaqH3m4lvTQS31XjSInRfG4JZf6hUyhvXRoT1ol0VCVG3T951/+cxmtjUs1+SFCKKTgAQksAkBxYtN6JlWAhKQgAQkIIHRE2gFjE9ffOtkmfBLPANbZlFkYJozr5NlOQ0zUmDy+Zeuzg7+v/vJV+cOchEyHNwerttkhsU8weLd9z03bVvannZdtCyEmRa09wcvvHLmFcP0E/oN6XUSkIAE1iGwkXhx6dKlyZ133jk5d+7c5NZbb51cuHBhoQ1Xr16dPPjgg9P4pOEav+rIg7wIJ2/KqO6ZZ56Z3HHHHdNwzvxfXV94n83YQx7nz5+flnPx4sWa/fS6z8ZF4ZQf+/t4XVOwHhKQgAQkIAEJDJIAAzIG7xnIM3g7Jcev8SwBaGdZMKhFlFhFsGHgm8FteOVM/pTjbIz99J7Mngn/eubVwJvOjElb009q3ogktvF+2thSJHBKBNYWLxjkIzIgMDz77LNT4QLB4amnnprL5957752mQRzgiICRBE888cTUjzN5MsinjDiEhKThmvz4PwJHX/gyNifPCAyteNFnY184gg2iBbZQBvXE4d+WlXp7loAEJCABCUhg+AT4xbkKGAz8jt0xwGS/gzrw5JqlAtv4BT2DWwbKbRkMcBlc67ZLgDZls82u2TPbECzmWYvAVUUMhKpT+IzMq6/+EpDA9gmsLV5EfMjgG9MYjCNmdLkrV65MhYY624DZDYgPDOS70rdltPHbPPvC2/y6ykRAwJ6IEK2g0NaxzbMvHHEkeXIdoWYety6W+klAAhKQgAQkMEwCCBh1IM7A/xgdogIzIFpBgWUhu/rFHHb1LS4pm0E2g+1dlXuM7bOqzbQny3K6loVk9sy++LKsqIp8zsJYtTWNL4HxElhbvMjgHgEhLrMW8n89M2BHqGCwH5c8MpgnHAEiLmmIhyN/xIHqSIP/MuEpbxmbEze2pcw+G/vC25kX8GB2SWaPpBzPEpCABCQgAQkcJwEGilXAYHCG3zE47EQoqMtDGGgy4NxXHSiHX+Trr/QRMs598pXpIHzbtvB6T2Z5UHdEG9qMo3LABv5PGHGxc6ivBoURggXMwq+e2ZNileU+2+y/CCXM3ok9cD2ULdusl3lJQAK7JbCxeFHNW0a8qGJAKxAw8I9QQb5d4kWEipTbiheLwlNe0nKeZ3PiVnuJ32djX3i75wUzUepslGpbvX7kkUcm844///M/n3jIwD5gH7AP2AfsA8PpA3/6/31v8nMPvzQbnLEh5X/4xtVB369//YtvXDNY/9BvfGPyyhvfPZjdT335W5P//p98bcYxg13OH7zwtcmv/T/fXIor7fFvXvzO5He+/K3JA//3H08+/Bvf6BQnav6rXkfYIH/Kosx9fyZpK9oRNl32I6rB7BC2dbHAljoL465P/ae9M+uyK35/8Rd/UR/HvZaABA5MQPHiR/tmtO2wK/GiloMwwkwS9glh9gVHnZlS484TLvBnmYuHDOwD9gH7gH3APjC8PvA//9bXZ4NIBrf/1x9+c3D37H/5ldcnP/mPvjqzk0Hv3/0/X5r80atvDcZWbPmVp1+d/Jf/y1k72wH6z/7qCxOOv/Hg82fq08Zb9P/P/uqLEw7a7h899Y1rDvwJ/+tLlIEdf/+ffW3yTz//x5MvvvTm1nm++vpbk0/94TentrZtmDpiJ+yG1J71uwoulSXMqFeNc6jr7373u/Vx3GsJSODABDYWL5ZZgkEdM4uiDs5bgYBZC6e+bCTtzZcwwgVcIlowKwMGhOkkIAEJSEACEjgNArxZo/66zHKDITim7rMEIoNcztvaiHOX9WNvDJZr1KU5tQ7LXFNPlk3U17quuxQFe2hj8qpLIebZAXOWprCkgyUnyzraK0tbWArCbJ55ZcCGt8Dsax+LZeswLx7saY/Uh7rBVScBCUigElhbvECEYKDdbtjZLttIYe3mmvhng83EmbfZZZZuJH4G98kTEaTmNy98FZtbYWVZG/vqkHzIP0INHFPHep24niUgAQlIQAISOG4CDMTqHg4MYA81sKTc9g0i2Hasr3flrScRDxAQ2oMw4mzj7SjL9sIILGxAWts9g/Ouc/bSqOeuN4J0paUMyqKu64owy9Ztl/Fou9SPmUr7bLNd1su8JSCB7RBYW7xAIGDGQF6VGmGhzqxgc8oIC5iLsJFZBiyVYKCeATzhEQw4I4oQFzEgLrM38lpRyiaPzP7oC1/G5pQVWyIqtP7zbEy6eeHkgx3YHpGFesIjMy9Sn5TpWQISkIAEJCCB4yfAoLL+Ms/gbJ+viuwSLfa9Gefxt+J6NaDtGYgzOGeGwbKCRgby9Uyb0Y+YWUH/ObUZCggwtb78r5OABCQAgbXFCxIz2I6AwACcAXt1+NWZGAzWER4QHCJcZACfdGxeSTrCSUsZ1SGOIGgQzrnO/CBeX3ifzSkrIkQrXhDeZ2NfeMrIGZupM0cVfxLuWQISkIAEJCCB0yFQf11mkMYSgF3+Wt4lWlAuv9TvstzTabHd1QRBg8F5ZosgSuSIX87EPdRsnd0R6M4ZQaYutVLA6OakrwTGRmAj8WJssKyvBCQgAQlIQAIS2AYBBmd1zwZmYbAXxrbEBPJhT4V2XwQGhMe0F8I2WJvHcRJQwDjOdtNqCeySgOLFLumatwQkIAEJSEACElhAoJ2FsYmIgWDBho7tfhbMsnB5yIJGMGiwBOjTVeSjb+skIIHxElC8GG/bW3MJSEACEpCABAZAgF+Y614YWe/Pxo3MxuCNFByZlcE5fsyuYEA3b2NHBn5MuU/aAVRXEySwEgEFjJVwGVkCJ01A8eKkm9fKSUACEpCABCRwLATYz4B9KCJerHtmM0iXhhxLq2vnMgQUMJahZBwJnD4BxYvTb2NrKAEJSEACEpDAERFAxOAtEryVom5aOE/MqK/JHMuGjkfUnJq6JQIKGFsCaTYSOGICihdH3HiaLgEJSEACEpDA6RNgWQlvmmgPhYrTb3treJZAK2CwZ4xOAhIYDwHFi/G0tTWVgAQkIAEJSEACEpDAURNoBQxfo3rUzanxEliJgOLFSriMLAEJSEACEpCABCQgAQkckoACxiHpW7YEDkdA8eJw7C1ZAhKQgAQkIAEJSEACEliDAAIG+71kLxhnYKwB0SQSODICihdH1mCaKwEJSEACEpCABCQgAQlMJuwHUze15X+dBCRwugQUL063ba2ZBCQgAQlIQAISkIAETppAFTB+/J6LU0HjpCts5SQwYgKKFyNufKsuAQlIQAISkIAEJCCBYyeggHHsLaj9EliOgOLFcpyMJQEJSEACEpCABCQgAQkMlMCnL7412//ivQ+9MGFPDJ0EJHBaBBQvTqs9rY0EJCABCUhAAhKQgARGSYBNO7OBpwLGKLuAlT5xAooXJ97AVk8CEpCABCQgAQlIQAJjIfCJz70+EzDe//GXx1Jt6ymBURBQvBhFM1tJCUhAAhKQgAQkIAEJjIPAhx+/PBMwbnv88jgqbS0lMAICihcjaGSrKAEJSEACEpCABCQggTERqALG3U++OqaqW1cJnCwBxYuTbVorJgEJSEACEpCABCQggfESeM9DL8xmYLAfhk4CEjhuAooXx91+Wi8BCUhAAhKQgAQkIAEJdBDgjSNVwOCNJDoJSOB4CSheHG/babkEJCABCUhAAhKQgAQksIDAN978/uRd91yczsD48XsuTr7y6tsLYhskAQkMmYDixZBbR9skIAEJSEACEpCABCQggY0IIFhUAQNBQycBCRwfAcWL42szLZaABCQgAQlIQAISkIAEViDAkpEf+8UvT4/3PvTChCUlOglI4LgIKF4cV3tprQQkIAEJSEACEpCABCSwBgE27YyA8f6Pv7xGDiaRgAQOSUDx4pD0LVsCEpCABCQgAQlIQAIS2BsBXpsaAeO2xy/vrVwLkoAENiegeLE5Q3OQgAQkIAEJSEACEpCABI6EwIcfvzwTMD7xudePxGrNlIAEFC/sAxKQgAQkIAEJSEACEpDAaAi0r1BlOYlOAhIYPgHFi+G3kRZKQAISkIAEJCABCUhAAlskgIBR30DiK1S3CNesJLAjAooXOwJrthKQgAQkIAEJSEACEpDAcAms+wrVp5//zmzZSfbPyJmwOPz+5j9+Mf9Oz3/49T+bpq3+xPulf/HamXgpo/p35UeiLv83/+zPJ7f801cm/8VdF6fhP3Hvf7ymjBRIGYSTD/FrmdiJ/7wj9SW8pkvefed5+eJfGZE3fvC77oHnZ7b+wj+/dt8S6o5/6k783/r33zpjyrLlkmhZlmmzNu9ajxjRMqetKKe6Nh/+J6+2LqRZlN88u5J/7FuGW8pK2vZc7cfOtFWNl/Jq3GWvFS+WJWU8CUhAAhKQgAQkIAEJSOCkCKzzCtUMBhlwcs3x0L+8Mh1Qcx3HgK0dqPF/68//7cA/ZVT/Nt28chiEMmiMEMEgEltJz7m6+DPYp0zOxLvpE5em0RAL8OdI3PzPOQPurjrUcuZdkw5ba55c41fZwYG4iCzYyP/YiB//V5e60ybUPfHqoH/ZcldhSf7kCyfs48DeWg/sDGPO1DV1a+Mlr7B55PNvzMQA/OL68qMOyYNzmy9tjFuGG/FiL3yTb/pGbAoL2HOdeJTd1jNpljkrXixDyTgSkIAEJCABCUhAAhKQwEkSqK9QPffJs4P7rgpnAFgHw/HjHNcO1Bh84oeoUAdw+DEgrC75Vf82v8Rv/TO4rLYQN4PcDFa7yiBe0ideyol//q/nrjrU8HnXre2JB5/KKGW3dYow8fLr35smDeM2HgNzhIS4TcttWZJvl41tPYhH2Qz2q0t+qUfikWd1hLesl80v+bTp8V+WG3FTzwhX1S9lUO/KO/6UXds1/sueFS+WJWU8CUhAAhKQgAQkIAEJSOAkCdQ3kPS9QjWD/jpA7vKrAzUGeogWDLbbAW3X4DP51cFrza82QuvfDtQTtx34dg1CiUs8wupAGv/ET371jA3tQV1bAaSm4bq1PeEto3ll5xd+ZgHg5g2a2/TLlrssS8pOGbVftPVI/dpzV1psxD+OPtQVL+H1vChemy/pluVG3OTdVV78yA92rZvHvY0373/Fi3lk9JeABCQgAQlIQAISkIAERkPgfedfng3AF72BJMJCHaR2+dWBGr+sI14gCLQDWv4nrOaXZSh18Ep+8w7yiKvlxi/nGkYa/l/WdQ1ak5Z8mE1AHTj4JZ86cdRf6BM/52pP/Di3jOaV3QoylEee844wXrbcefGwsQ2LjVX0aetBuogQzExo7Yx9yb8N53/6UnXL5pc05FH7Ff7LciNu6pn8uvwyk4R+UB1l175aw5a5VrxYhpJxJCABCUhAAhKQgAQkIIGTJtC+QvXzL13trG/XFHsGnQzM2sEnAzVmH9QBYzugJbxrIFvTYAj/82s2ZdQD/zogbP+vlahhpOH/ZV3XoDVpyacdEIdTO4BNGs7VnurfMppXditekF8Xo/CKkLJsufPiddne7vtAnLYe+GEfYgFcYlfS8n8cZVdBiLDEq0uWls2v5tu21bLcyCM2JD/ObfvAOf2LvOuB/7pO8WJdcqaTgAQkIAEJSEACEpCABE6KwDfe/H7vK1QzUMtAGAAMLBmgtYPPDF7r+v/4teBImyMD/zrIJP+ugV/rz2CWo3XtQL+rHqShXthR64d/4rf58j82VFvxI48u/5q+tT1hLaN5ZaeMvmUjyTfnZctdliX50sYt97YesbcVdFI/wuPmsaOM9INV8luUL/nVPpq4XWfitvWM/TV+bKsCzDzuNd2ia8WLRXQMk4AEJCABCUhAAhKQgARGRYBXqDLIetc9Fydct47BG7+cV5eBWjv4JB+O6k96jkUu+VVBYN7Ar/XPQLKWSVnxzz4UXWUQL0tWEi92Jn3+r2dsqLYSlv0o2oF6m66LRcsoZbd1ajfsTLy2TNLVtC2z2LRsuSknjMIyIsq8/ObFSz1aG1um5FsFlVXyi01dbZX69HFD0KLvY291SV/9sBNBpIpg87jXdIuuFS8W0TFMAhKQgAQkIAEJSEACEhgdAV6hyjKS6pi5kCnznKvLILIdfDJYawd67QC55pPr5FcHr/MGfq0/g0UGjgwySU9e8+yOP3sUEC97FbT1w66uAWrsxQbSkAcHg2DKbweviZ9za3v8W0YpmzwRCBBGMuCve0Ck7uSbOpGWdOQZt2y5yW8Ryyz7IQ52hQHnCA1c48iPeBzYh23Yxf/YlHjE5f/KlLDUmXSr5jdNMGeWTOq5iBvlYytxWpEj7ZMyIoDV5S2Ekba2Q+Ive1a8WJaU8SQgAQlIQAISkIAEJCCB0RJg8MbgiwEkg73qEsY5jrgMSusGjoQxeOsbwCW/DFJJN2/g1+WPfQx8MyhGRKh5xUbO+BNOPn3xiNPl8G8POLV1b9OSpotFyyiDY7ggCJAuAkCb57y61zZbtlzynpdfysXWtu5d/yc+YkdECOLRTpmlUmdudOXR1T7L5pfyyberL8yrZ7iRZh7ztE94Ea+rXSm7yz+29Z0VL/oIGS4BCUhAAhKQgAQkIAEJSEACByNQB8cHM2JOwa3Q0kYbsu2trUP/X/Fi6C2kfRKQgAQkIAEJSEACEpCABEZMYMgCgOLF/jqm4sX+WFuSBCQgAQlIQAISkIAEJCABCaxIQPFiRWAnGl3x4kQb1mpJQAISkIAEJCABCUhAAhI4BQJDFi9Oge+x1EHx4lhaSjslIAEJSEACEpCABCQgAQlIQAIjJaB4MdKGt9oSkIAEJCABCUhAAhKQgAQkIIFjIaB4cSwtpZ0SkIAEJCABCUhAAhKQgAQkIIGREthIvLh06dLkzjvvnJw7d25y6623Ti5cuLAQ49WrVycPPvjgND5puMavOvIgL8LJmzKqe+aZZyZ33HHHNJwz/1fXF95nc5+NhGNbe1y8eHFmxqI6UH7s7+M1y9ALCUhAAhKQgAQkIAEJSEACEpDAiAmsLV4wiEdkQGB49tlnp8IFA/qnnnpqLs577713mgaBgYP4CBhxTzzxxNSPM3kyyKeMOASCpOGa/Pg/Akdf+DI299mYMs6fPz/BzhxXrlyZmtlXB+qLaIEt1I964vAnb50EJCABCUhAAhKQgAQkIAEJSEACZwmsLV5EfMjgm2wZjCNmdDkG9wgNdbYBAgB+DOS70rdltPHbPPvC2/zaMtv8CG/zjHgxT2hoGbRlIo4kLdcRauZxm4LxjwQkIAEJSEACEpCABCQgAQlIYMQE1hYvMsMgMw5gmJkQXTwz6GcwH5c8MphHyEAsiEsa4uHIH3GgOtLgv0x4yptnc8pbZGPyQGygbOyp8fvq0M68IC2zSzJ7pNbNawlIQAISkIAEJCABCUhAAhKQgAQmk43FiwpxGfEiQgXpIgTEj4F/hArCIybEj/wjVKTcVrxYFJ7ykpZztTnlxR7CkyZ+iA0IFvhzHREj4kNfHdo9L5iJUmejVNu8loAEJCABCUhAAhKQgAQkIAEJSEDxYmXxou00iBFVsKjXxI0gEgGmpicMIYR9Qph9wVFncdS4jzzyyGTewbIbDxnYB+wD9gH7gH3APmAfsA/YB7bXB7773e/Wx3GvJSCBAxPYeObFvCUYbb0yiK+D83ZWAwP/oS8baevF/9id2RN9dUh6biwIF3CJaBEhhDCdBCQgAQlIQAISkIAEJCABCUhAAj8ksLZ4gQjBQL3dsLNdthHQizbDTBwG83XjypTBAB/Xbp6ZPDOroS88+c2zOflFiKhlxkbsqzZGcIgNfXVIPsSPUAPH1LFeJ65nCUhAAhKQgAQkIAEJSEACEpDAmAmsLV4wO4AZAwzkEQMiHNSZFWxOmUE9kBE2MsuApRLtLAXi4seZPImLGBCX2Rt5rShlEz+zP/rCl7F5WRuxARtbG/rqQF2wg3SZYUE94REhJPVJvT1LQAISkIAEJCABCUhAAhKQgATGTGBt8QJoDLYzeGcAXoUKwvGrMzEYrDPoR3CIcJEBfBqBWQ+kI5y0lFEd4giCBuGc6ywK4vWF99m8jI3UMzZ22dBXh1qf2Ex+HFX8aeP5vwQkIAEJSEACEpCABCQgAQlIYIwENhIvxgjMOktAAhKQgAQkIAEJSEACEpCABCSwXwKKF/vlbWkSkIAEJCABCUhAAhKQgAQkIAEJrEhA8WJFYEaXgAQkIAEJSEACEpCABCQgAQlIYL8EFC/2y9vSJCABCUhAAhKQgAQkIAEJSEACEliRgOLFisCMLgEJSEACEpCABCQgAQlIQAISkMB+CShe7Je3pUlAAhKQgAQkIAEJSEACEpCABCSwIgHFixWBGV0CEpCABCQgAQlIQAISkIAEJCCB/RJQvNgvb0uTgAQkIAEJSEACEpCABCQgAQlIYEUCihcrAjO6BCQgAQlIQAISkIAEJCABCUhAAvsloHixX96WJgEJSEACEpCABCQgAQlIQAISkMCKBBQvVgRmdAlIQAISkIAEJCABCUhAAhKQgAT2S0DxYr+8LU0CEpCABCQgAQlIQAISkIAEJCCBFQkoXqwIzOgSkIAEJCABCUhAAhKQgAQkIAEJ7JeA4sV+eVuaBCQgAQlIQAISkIAEJCABCUhAAisSULxYEZjRJSABCUhAAhKQgAQkIAEJSEACEtgvAcWL/fK2NAlIQAISkIAEJCABCUhAAhKQgARWJKB4sSIwo0tAAhKQgAQkIAEJSEACEpCABCSwXwKKF/vlbWkSkIAEJCABCUhAAhKQgAQkIAEJrEhA8WJFYEaXgAQkIAEJSEACEpCABCQgAQlIYL8EFC/2y9vSJCABCUhAAhKQgAQkIAEJSEACEliRgOLFisCMLgEJSEACEpCABCQgAQlIQAISkMB+CShe7Je3pUlAAhKQgAQkIAEJSEACEpCABCSwIgHFixWBGV0CEpCABCQgAQlIQAISkIAEJCCB/RJQvNgvb0uTgAQkIAEJSEACEpCABCQgAQlIYEUCihcrAjO6BCQgAQlIQAISkIAEJCABCUhAAvsloHixX96WJgEJSEACEpCABCQgAQlIQAISkMCKBBQvVgRmdAlIQAISkIAEJCABCUhAAhKQgAT2S0DxYr+8LU0CEpCABCQgAQlIQAISkIAEJCCBFQkoXqwIzOgSkIAEJCABCUhAAhKQgAQkIAEJ7JeA4sV+eVuaBCQgAQlIQAISkIAEJCABCUhAAisSULxYEZjRJSABCUhAAhKQgAQkIAEJSEACEtgvAcWL/fK2NAlIQAISkICe340vAAAU9klEQVQEJCABCUhAAhKQgARWJKB4sSIwo0tAAhKQgAQkIAEJSEACEpCABCSwXwKKF/vlbWkSkIAEJCABCUhAAhKQgAQkIAEJrEhA8WJFYEaXgAQkIAEJSEACEpCABCQgAQlIYL8EFC/2y9vSJCABCUhAAhKQgAQkIAEJSEACEliRgOLFisCMLgEJSEACEpCABCQgAQlIQAISkMB+CShe7Je3pUlAAhKQgAQkIAEJSEACEpCABCSwIgHFixWBGV0CEpCABCQgAQlIQAISkIAEJCCB/RJQvNgvb0uTgAQkIAEJSEACEpCABCQgAQlIYEUCihcrAjO6BCQgAQlIQAISkIAEJCABCUhAAvsloHixX96WJgEJSEACEpCABCQgAQlIQAISkMCKBBQvVgRmdAlIQAISkIAEJCABCUhAAhKQgAT2S0DxYr+8LU0CEpCABCQgAQlIQAISkIAEJCCBFQlsJF5cunRpcuedd07OnTs3ufXWWycXLlxYWPzVq1cnDz744DQ+abjGrzryIC/CyZsyqnvmmWcmd9xxxzScM/9X1xfeZ/M2bFxUB8qP/X28ar28loAEJCABCUhAAhKQgAQkIAEJjJXA2uIFg3xEBgSGZ599dipcIDg89dRTc1nee++90zQIDBwRMJLgiSeemPpxJk8G+ZQRd/HixVkarsmPPCJw9IUvY/OmNvbVAcEG0QJbqB/1xOGP/ToJSEACEpCABCQgAQlIQAISkIAEzhJYW7yI+JDBN9kyGEfM6HJXrlyZCg11tsH58+enfgzku9K3ZbTx2zz7wtv82jLb/Ahv82zr2ObZF444EpGC6wg187hNwfhHAhKQgAQkIAEJSEACEpCABCQwYgJrixeZYcCAPy4zIfJ/PWdWBIP9uOSRwTyzKBAL4pKGeDjyRxyojjT4LxOe8ubZnPI2sbGvDu3MC8pidklmj9S6eS0BCUhAAhKQgAQkIAEJSEACEpDAZLKxeFEhLiNeRKggXcSE+DHwj1BBeMSE+JF/hIqU24oXi8JTXtJyrjanvNhDeNLEr8/GvvB2zwtmotTZKNU2ryUgAQlIQAISkIAEJCABCUhAAhJQvNi7eFE7HYIIM0nYJ4TZFxx11keN+8gjj0w8ZGAfsA/YB+wD9gH7gH3APmAf2F8fqM/jXktAAoclsPHMi3lLMNpqZVZDHZx3zWo49WUj4ZINO+ES0YJZGczcyB4gicvZm9T+blKylrV9wD5gH7AP2AfsA/YB+wB9QCcBCQyHwNriBSIEA+12w8522UaqumgzzMSZt9lllmy0m2cmzywr6Qvvszn51WUcyXNZG/vqkHywOUINHFPHep24fedT+WLNQ0JffYcefir1gLN9a1i9zb41rPbIZ+QUPif2LfvWrgjYt3ZFdv18T6VNTqUe67ekKSUwPgJrixfMDmDGQF6VmkF+nVnB5pQRFkCLsJFZBiyVYKCeATzhmYnBGVGEuHWDzszeyGtFKZs8MvujL3wZmze1sa8O1BM7sD0zLKgnPDLzIvVZtjvy5X0K7lRuQqdSD/qUfWtYnyz71rDaI5+RU/ic2LfsW7siYN/aFdn18z2VNjmVeqzfkqaUwPgIrC1egIrBdgQEBuBVqCAcvzoTg8E6wgOCQ4SLDOCDnlkPpCOctJRRHeIIggbhnOvMD+L1hffZvA0b++pQ6xObqTNHFX/aePP+58v7FNyp3IROpR70KfvWsD5Z9q1htUc+I6fwObFv2bd2RcC+tSuy6+d7Km1yKvVYvyVNKYHxEdhIvBgfrmHWmC/vU3CnchM6lXrQp+xbw/pk2beG1R75jJzC58S+Zd/aFQH71q7Irp/vqbTJqdRj/ZY0pQTGR0Dx4gTanC/vU3CnchM6lXrQp+xbw/pk2beG1R75jJzC58S+Zd/aFQH71q7Irp/vqbTJqdRj/ZY0pQTGR0DxYnxtbo0lIAEJSEACEpCABCQgAQlIQAJHRUDx4qiaS2MlIAEJSEACEpCABCQgAQlIQALjI6B4Mb42t8YSkIAEJCABCUhAAhKQgAQkIIGjIqB4cVTNpbESkIAEJCABCUhAAhKQgAQkIIHxEVC8GEib84pWXpN6/vz56StgL168eMYywgnLa2Z55Wz7mlleVZvXzPIK2/Y1s+1rYnml6y4c5WALr7qtr8pNWX128vrb+jrc9vWx5E++lcWVK1eS/dbO5PnUU09NX+8L19ZVOwhveS7TZsmTcqhP+7rhhG9y3kffwj7aLe2yi3pQRl/f6us7feHkX1/n3PU526Qtkrbakb5TP89cL7KjL5xy6iubu74PYssm5/oZoP9ic/tZ7LOjfb11+3nvY7WJ/TVt/V7i+4fPZHV9dsKivjq8/T6oeaVt2+/5Gmfd6z5e2+o78Ep9d1GPffQt6rDoXrNuG7TpNu1bffeiZdq0tWmd/zftW9jJ52jZ5xz611D7Fv2Tdp33nBO+1Dl9LH7bPO+6b2ErdUib8T2/C7evvrXoGXkX9TJPCUhg+wQUL7bPdK0cM+jLTa69YSecGxU3f76A8YvDP4MHbgLc9InDTQfHmf/xJ5wHa+K3D+jJb90zdpNv6lFtJM8+O5M+drYP+akH+cMh+bXlrGt/TUc9YMbBdXWxg7BqB/bE9bVZ4vFgmjJq+oRveo4daZNt9y3sgwGMKIs6tGVsWgfSp2+kHm2bJ3xe3+kLpwzyTpvWOm3D/uQRO7Cfz2L6eG17wlo7iBfXF05etAfnPBSS3zZdPgOLPot9doQFdeOaemE3AwNcwhex2kadYicP6Pn+xA7Kr3bMszMs0vcWfb+SP3nX/LdRh2rnIl7b6DsR0jnDrhWsNq1PeO6yb+Xz3bZp2nzTOiT9pn2LfOgrfH45uG5dX5u28df5f5nPYp8dhGN/vsNb1kkPM9ondaY/bMtts2+lHtg9z+W7oKvd5qVZ1n8ffQtefK/RFtSFMrft9tG38p2F/fWeuM2+tW0u5icBCXQTULzo5rJ3X768+RLNzai9qXPj48s3Lr/U5yGfmyc30jj8SRNxIg9qfGnHEZ+b0jYdD7GxifLbm3qfnal/fRjmppmBW1c9clPaZj3IK6ywuX3wyM0We+KwEVvj+tos8WgDDuLv6sFgl32LttqV7WHEua9v9fWdvnDKoB48oMV1tX3C1j2nv9aHJj6L+ayEZ7WjpukLx672s931uVnX/qTryjN2Jk6fHYkfFm3d2vDULaxSzqbn1s7Ykc9ja0fC00ZdLNo8sZF0fEfk895+z29aj9ZO8sOO8GrtJrxN09rd1i3/b9v2WveUke/gamfi9dnZ1qute74P0vfynZ42Tzmbnls7Y0fK6bOT8sOh6/so+aUvEr/Nc9M6zMtz1b4F43n3oq56pB9ss68lzzCtdQunts3aNNi66Dkn+VAG95R83uO/rXNrZxhuq29hJ32J76x8TrZle82nq79us29RFp8d2iEun/9t9q3k7VkCEtgtAcWL3fJdOfeuL1RuGu3gMA9a+eLlSzkPqCm0pkm+3Nziuh6EEraNM+W3NvXZyQMY6aojj+SD/dS53khb0aCm3cZ1F6c8lIQ/5YQx18u0WdLwYNA+dGzD7jaP2FdtXsbOvjaLkJaHHNqvPki3dmzj/66+1dd3+sKxiwcmDrjQJvUBaht2kwcPvbUN8KMPRKAjjPrxwBxX264vnDSkpz3ikoZ8tuWW+Sz22cFnC8bV1bbtY1XTbXINnwxGyIdr7Ij422dn2gcmcV3fG/jxeUp7cN6m6+OVcuf1LWzpazP6KW3Gmbj03ZrfNuqzj76VAWnaOG247TYhv036VuXZ1aeWadOax7rX2+hbKbuLNd+51KV+hnJvqfySx7rnbfStWnb9vqr+1IfPBved1LeGb+N6130LG6lDvreoK5/9bbYHZey6b1FGBBLKom3y3Mi1TgISOC4CihcDa6/c5LgpVccNg4MbL1+2+SJOvPb/3PTJD5d8a55dD0I1fNPrrpt6n515oIzd1C83zy57IiIkflecTf26ONEO1I8bIO3B/wxK8IvrazNuosTPwzPXu6xH+kD6zLJ29rVZBjHUn/bI/6lXytnmGVa0S3V9facvnLxoE/ob+XNwveuHm4gqaRfOlJ3/sau2XV848Ulf+1LSVL/KbhvXXZ/FPjtow7YdSdP6xb6WVfy3faYv17bvszPtU+0gDXWJy3dyHtQJq22ceNs8t7zSD2q5sT1+fW2Wzwefc9o833vUa1duV30r323Uua33ruqyat+qdrR9irBl2rTmsa3rdfpWym77XPzrmXsqfW3ed0GNu8n1On2rlke/6bKRzwfPANw/Ut+abhfX2+5beUbJZ4N7KG3CsUu3i75FO+S7Kp/3fOftsi7mLQEJbJ+A4sX2mW6UY25y7ZcqN9g8NPLFmy/hxONGz40yX8oJJz9c8q3GdT0I1fBNr7Glvan32UmZsYv01Jl6tfkQLwNN6rpLF3vaMsK0ZZ54fW2G3TzgxJFP2it+2zzH3vSZ5N1nZ1+bhU8d5NNuXW2WMjc9d/Ut8owt8/rOMuHYzkNaHtQY4OzKRVDhYS2O9sH+2k617frCyaftS0mzq/4177PYZwft0fYT0rR+1KmLVZht85wBLZ+LuD470z6Jz5k01AWXgVgEvbRHbeOadhvXXby6yo3tsaWvzQiv37kZ4Bxb3woLvoO55sxnn/rsyq3Tt6ottU/FP/VI++Hftmnibuu8bt9K+X32ZaBJe/DZ2ZVb93ur2tP1fcV3B/7pS6lvTbft6132rXp/ighb+9s267KrvpU24Ez78B3GUZ9btlkP85KABHZHQPFid2zXyjlfsF03Br5k8eeGmHjtjZ3wHNw8uRHguuJ3PQitZfScRF039USNjZyrnQmnjoRRZ8LbAWR96Nj1zWcRJ/hjJ2fiIbRUN6/NcoOmbu1BPrtw6QPY27p5dtZ4pMtR26yLD351gFPz2cY15c/jtEzfoR5t38KPfOEUl1+A2s9Zwjc5pw+0fTt25LNLGbXt+sKJTz1qvklT67aJ7TXtos9inx20YfuZ6WrbeayqHdu4zgCgsiffPjvTPrWfkIa64JIv/7fHLtpkHq/0g1q/2E4YDvsW9R3C288efnWAM81oC3922bdq+2Bq+32wBfPPZJE+UNkToa9v1Uxamwlbpk1rHpteb9K3Unbb5+LPmXbg3rFrIWmTvlXt7fo81B+SCK9HPmc1j02vd9236ndU+lsVdze1P+l32bfadorA1H4eY4tnCUhguAQULwbWNotu6jGVmzs3x/ahP+Gc+RWJL+s8TOemUG84pG8fQmsem163N4uu/Fo72zhR+esNJvXfl2re9cDY2smDEPWtD/01TmxOm/E/DwH1SHry2oXbVd/qyncIfaur71SubXgeyuqDWlfdah7rXi/qL3xm6Qt1MJiHU8rrCycO/Kt4lM8/ddymS7+e91nssyP1Ih9c6lbbYBGrbdal7Q817z47w3fe9yv1qp/1lMWZsG26RbzCd17fwo6+NuP7kIHlojbbRn123be6vteXuWetU7e0d72PJZ++vpV4nLtsXqZNax6bXG/at1L2ou/VfcyA2bRvpR6cu/oMnOrnPW2MXz43NY9NrnfZt7rql++6bd9Ldt232nbCfvzqvWaTdjCtBCSwPwKKF/tjvVRJi27q3DQI5+Gy61cJvowJzwNOfVDihkkaBhk8YOdmWuMsZeAKkdqbRZIuspM4PIxRj9jIOY56UAfqQj3IK8e2BwEpMzzzfz1jJwOBsG0fTPrarOa16xsptlIGvFrXZ+eiNoN76k+bRJCqA7m2vE3/n9e3FvUdylwUns8IdYEHB9d83rbpeEgLr/TdnNN/6HOxIw+n9XPQF5625kw77KIey3wW++yg3rQlfYZrPtv8n8/yMqy20Ta0NeXCOG2RM/n32Zm+s+z3a/LjvE23DK9N+w79KW3Gdb6P02bbqM8++lb6ZvpevrfoC9t0m/atasu8e1Ffm9Y81r3eRt9K2WHf9v/c8/nOIywHZW/LbaNvVVv4LMB/kUt9F8VZJ2wffYvnG+pIHSgv96517J2XZh99K58d6pHvLeq1ze+tefXTXwIS2C4BxYvt8tw4t9zk2ps6GecBhYesrpt50hKPL+fWkSaDA25AxN+lm3dT77OTupMWW1sbE0Z4e7Rxt1W33PS68sMGBrc8dPFQ1Lq+NqvxyWtXdaCccN9134IHD5+7dLCCbevSP7r6DnH7wvmMZBBDGfM+a225q/yfdiD/9kjb0JeqHW3/6gvHnohqYdX1nbGK3W3csGzrwP+1H/fZwQMxfYZ0nOt31zKsWrvW+T+f8a66JL9FdhJnle/XsEt7p4xNz8vw2kbfqSz4rG27HuHT1R7b6luwJq/a92rem7ZF0m+jb7V55f+cl2nTxF33vK2+RfnJq+03Xe2NX9d3/br12FbfSvnL2Jf6Js22zvvoW9hav8O5L217wB8+Xe2fPrJsH09eSRfWpOc+yrMv5fC9Ve81iedZAhIYPgHFi+G3kRZKQAISkIAEJCABCUhAAhKQgARGTUDxYtTNb+UlIAEJSEACEpCABCQgAQlIQALDJ6B4Mfw20kIJSEACEpCABCQgAQlIQAISkMCoCShejLr5rbwEJCABCUhAAhKQgAQkIAEJSGD4BBQvht9GWigBCUhAAhKQgAQkIAEJSEACEhg1AcWLUTe/lZeABCQgAQlIQAISkIAEJCABCQyfgOLF8NtICyUgAQlIQAISkIAEJCABCUhAAqMmoHgx6ua38hKQgAQkIAEJSEACEpCABCQggeETULwYfhtpoQQkIAEJSEACEpCABCQgAQlIYNQEFC9G3fxWXgISkIAEJCABCUhAAhKQgAQkMHwCihfDbyMtlIAEJCABCUhAAhKQgAQkIAEJjJqA4sWom9/KS0ACEpCABCQgAQlIQAISkIAEhk9A8WL4baSFEpCABCQgAQlIQAISkIAEJCCBURNQvBh181t5CUhAAhKQgAQkIAEJSEACEpDA8AkoXgy/jbRQAhKQgAQkIAEJSEACEpCABCQwagKKF6NufisvAQlIQAISkIAEJCABCUhAAhIYPgHFi+G3kRZKQAISkIAEJCABCUhAAhKQgARGTUDxYtTNb+UlIAEJSEACEpCABCQgAQlIQALDJ6B4Mfw20kIJSEACEpCABCQgAQlIQAISkMCoCfz/4Yet+2S8FuQAAAAASUVORK5CYII=
[[Мордас]] С.Б. [[Формирование грамматико-коммуникативной компетенции "вторичной" языковой личности франкоговорящих иностранных студентов при изучении предложно-падежных конструкций с пространственным значением]]
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=835596]]*[ext[ссылка 2|https://new-disser.ru/_avtoreferats/01002621131.pdf]]
* {{mcb_ar_s1_3}}*[[mcb_ar_s1_3]]
* {{mcb_ar_s2_2}}*[[mcb_ar_s2_2]]
* {{mcb_ar_s2_5}}*[[mcb_ar_s2_5]]
* {{mcb_ar_s3_1}}*[[mcb_ar_s3_1]]
* {{mcb_ar_s3_2}}*[[mcb_ar_s3_2]]
* {{mcb_ar_s3_3_0}}*[[mcb_ar_s3_3_0]]
* {{mcb_ar_s3_3_1}}*[[mcb_ar_s3_3_1]]
* {{mcb_ar_s3_3_2}}*[[mcb_ar_s3_3_2]]
* {{mcb_ar_s3_3_3}}*[[mcb_ar_s3_3_3]]
* {{mcb_ar_s3_4_0}}*[[mcb_ar_s3_4_0]]
* {{mcb_ar_s3_4_1}}*[[mcb_ar_s3_4_1]]
* {{mcb_ar_s3_4_2}}*[[mcb_ar_s3_4_2]]
* {{mcb_ar_s3_4_3}}*[[mcb_ar_s3_4_3]]
* {{mcb_ar_s3_4_4}}*[[mcb_ar_s3_4_4]]
* {{mcb_ar_s4_1_1}}*[[mcb_ar_s4_1_1]]
* {{mcb_ar_s4_1_2}}*[[mcb_ar_s4_1_2]]
* {{mcb_ar_s5_1_0}}*[[mcb_ar_s5_1_0]]
* {{mcb_ar_s5_1_1}}*[[mcb_ar_s5_1_1]]
* {{mcb_ar_s5_1_2}}*[[mcb_ar_s5_1_2]]
* {{mcb_ar_s5_1_3}}*[[mcb_ar_s5_1_3]]
* {{mcb_ar_s5_2_0}}*[[mcb_ar_s5_2_0]]
* {{mcb_ar_s5_2_1}}*[[mcb_ar_s5_2_1]]
* {{mcb_ar_s5_2_2}}*[[mcb_ar_s5_2_2]]
* {{mcb_ar_s5_2_3}}*[[mcb_ar_s5_2_3]]
* {{mcb_ar_s5_3_0}}*[[mcb_ar_s5_3_0]]
* {{mcb_ar_s5_3_1}}*[[mcb_ar_s5_3_1]]
* {{mcb_ar_s6_1_1}}*[[mcb_ar_s6_1_1]]
* {{mcb_ar_s6_5}}*[[mcb_ar_s6_5]]
* {{mcb_ar_s7_2_0}}*[[mcb_ar_s7_2_0]]
* {{mcb_ar_s7_2_1}}*[[mcb_ar_s7_2_1]]
* {{mcb_ar_s7_2_2}}*[[mcb_ar_s7_2_2]]
* {{mcb_ar_s7_2_3}}*[[mcb_ar_s7_2_3]]
* {{mcb_ar_s7_2_4}}*[[mcb_ar_s7_2_4]]
* {{mcb_ar_s9_2}}*[[mcb_ar_s9_2]]
* {{mcb_ar_s9_3}}*[[mcb_ar_s9_3]]
* {{mcb_ar_s9_4}}*[[mcb_ar_s9_4]]
* {{mcb_ar_s10_1}}*[[mcb_ar_s10_1]]
* {{mcb_ar_s12_2}}*[[mcb_ar_s12_2]]
* {{mcb_ar_s17_3}}*[[mcb_ar_s17_3]]
[[Мордас]] С.Б. [[Формирование грамматико-коммуникативной компетенции "вторичной" языковой личности франкоговорящих иностранных студентов при изучении предложно-падежных конструкций с пространственным значением]]
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=835596]]*[ext[ссылка 2|https://new-disser.ru/_avtoreferats/01002621131.pdf]]
[[mcb_ar]]
---
!!''Формирование грамматико-коммуникативной компетенции "вторичной" языковой личности франкоговорящих иностранных студентов при изучении предложно-падежных конструкций с пространственным значением''
* Цель исследования — создание и теоретической обоснование лингвометодической модели формирования грамматико-коммуникативной компетенции «вторичной» языковой личности франкоговорящих студентов в процессе изучения ППК с пространственным значением.
* Предмет исследования - методика поэтапного формирования и развития грамматико-коммуникативной компетенции ЯЛ2 франкоговорящих студентов при системно- функциональном подходе к изучению ППК с пространственным значением.
* Объектом исследовании является динамический процесс поэтапного обучения франко говорящих студентов ППК с пространственным значением в соответствии с концепцией формирования грамматико-коммуникативной компетенции языковой личности обучающихся.
---
* { {mcb_ar_s2_5}}* { {mcb_ar_s3_2}}* { {mcb_ar_s3_1}}
---
всё обработать
*[[научная новизна |mcb_ar 1 nn]]
*[[на защиту выносятся |mcb_ar 1 nzv]]
*[[гипотеза |mcb_ar 1 gipoteza]]
*[[задачи |mcb_ar 1 zadachi]]
*[[теоретическая значимость|mcb_ar 1 tzi]]
*[[практическая значимость|mcb_ar 1 pzi]]
*[[материал для размышления|mcb_ar_mdr]]
---
{{mcb_ar_s3_3_0}}
{{mcb_ar_s3_3_1}}
{{mcb_ar_s3_3_2}}
{{mcb_ar_s3_3_3}}
стр. 3
{{mcb_ar_s5_1_0}}
{{mcb_ar_s5_1_1}}
{{mcb_ar_s5_1_2}}
{{mcb_ar_s5_1_3}}
стр. 5
{{mcb_ar_s7_2_0}}
{{mcb_ar_s7_2_1}}
{{mcb_ar_s7_2_2}}
{{mcb_ar_s7_2_3}}
{{mcb_ar_s7_2_4}}
стр. 7
{{mcb_ar_s5_3_0}}
{{mcb_ar_s5_3_1}} {{mcb_ar_s6_1_1}}
{{mcb_ar_s5_2_0}}
{{mcb_ar_s5_2_1}}
{{mcb_ar_s5_2_2}}
{{mcb_ar_s5_2_3}}
стр. 5
{{mcb_ar_s3_4_0}}
{{mcb_ar_s3_4_1}}
{{mcb_ar_s3_4_2}}
{{mcb_ar_s3_4_3}}
{{mcb_ar_s3_4_4}}
{{mcb_ar_s4_1_1}}
{{mcb_ar_s4_1_2}}
стр.3-4
* {{mcb_ar_s1_3}}*[[mcb_ar_s1_3]]
* {{mcb_ar_s2_2}}*[[mcb_ar_s2_2]]
* {{mcb_ar_s6_5}}*[[mcb_ar_s6_5]]
* {{mcb_ar_s9_2}}*[[mcb_ar_s9_2]]
* {{mcb_ar_s9_3}}*[[mcb_ar_s9_3]]
* {{mcb_ar_s9_4}}*[[mcb_ar_s9_4]]
* {{mcb_ar_s10_1}}*[[mcb_ar_s10_1]]
* {{mcb_ar_s12_2}}*[[mcb_ar_s12_2]]
* {{mcb_ar_s17_3}}*[[mcb_ar_s17_3]]
В российской лингвометодике накоплен известный опыт изучения пространственных отношений в русском языке (В.А. Белошапкова, B.C.Бондаренко, Е.Ю. Владимирский, М.В. Всеволодова, В.Н. Вагнер, Г.А.Золотова, З.Н. Иевлева, З.Г. Паршикова, А.К. Панда, С.А. Хавронина, Н.А.Янко-Триницкая и др.). Наиболее традиционным в лингвистике являетсярассмотрение пространственных отношений посредством анализа формальных средств выражения - предлогов (B.C. Бондаренко, Е.Ю.Владимирский, Н.А. Янко-Триницкая и др.). Значительное внимание уделено рассмотрению ''предложно-падежных конструкций (ППК),''используемых при передаче пространственных отношений в русском языке (М.В. Всеволодова, Е.Ю. Владимирский, Г.А. Золотова и др.). В 80-егоды XX века появились работы, свидетельствующие об интересе к рассмотрению пространственной категории в структурно-семантичеком аспекте: а) в рамках словосочетания, б) простого предложения, в) сложного предложения (В.А. Белошапкова, М.В. Всеволодова, Е.Ю.Владимирский, Т.М. Дорофеева, Г.А. Золотова, З.Н. Иевлева, С.Г.Ильенко, Н.П. Исаев, Н.А. Янко-Триницкая и др.). В ряде исследований рассматриваются особенности выражения пространственных отношений в различных функциональных стилях речи, выражения пространственных отношений на уровне текста (Г.А. Вишнякова, О.Д. Митрофанова, Е.И.Мотина и др.). Среди методических работ, посвяшенных проблеме
область тезауруса; 2) формировать в сознании обучаемых основы лингвокогнитивного (тезаурусного) фонда с помощью системы учебно-познавательных задач, проблемных ситуаций, дидактических игр, лингвистического анализа текста и др
Развивая концепцию трехуровневого представления ЯЛ2 и принимая тезис @@color:red; Л.С. Выготского о трехуровневости процессов восприятия и порождения речевых высказываний, @@ мы отмечаем, что последние оказываются конгруэнтными самому устройству языковой личности. @@color:red;Намечая вербально-семантический, тезаурусный и прагматический уровни языковой личности, мы, вслед за Ю.Н. Карауловым, рассматриваем их параллельно с выделенными в схеме восприятия и порождения мотивационно-побуждающим, формирующим и реализующим уровнями. @@ Аргументируя тезис конгруэнтности процесса грамматического структурирования речевых высказываний при их восприятии и порождении трехуровневой модели языковой личности, основываясь на исследованиях Л.С. Выготского, Н.Н. Жинкина, А.А. Леонтьева и др., в диссертации подчеркивается, что в структуре процесса грамматического структурирования различаются следующие звенья: а) прогнозирование и нахождение синтаксической конструкции; б) определение местоположения выбранных по значению слов и приписывание им грамматических характеристик; в) запоминание и выполнение обязательств, которые накладываются грамматической формой первого слова
Таким образом, экспериментальная проверка разработанной нами методики подтверждает правомерность выдвинутой гипотезы относительно создания эффективной @@color:red; методики поэтапного формирования и развития грамматико-коммуникативной компетенции ЯЛ2 обучающихся при поэтапном системно-функциональном предъявлении и усвоении пространственных ППК русского языка франкоговорящими иностранными студентами, что предполагает формирование вербально-семантического(«нулевого») и лингвокогнитивного («тезаурусного») уровней ЯЛ2, а также закладывание основ прагматического уровня @@ ; при предъявлении в процессе изучения русских и французских соответствий в способах выражения пространственных отношений с учетом интерферирующего влияния французского языка.
Вместе с тем требования гуманизации и гуманитаризаци иобразования, достижения в области исследования феномена «языковая личность» (Г.И. Богин, И.Б. Игнатова, О.Л. Каменская, Ю.Н. Караулов,Р.И. Павеленис, И.И. Халеева и др.), развитие личностно ориентированного направления в обучении РКИ (M.H. Вятютнев, Н.В.Еременко, И.Б. Игнатова, О. Каган и др.), применение лингвокогнитивных подходов к анализу иноязычной речевой деятельности (Д.И. Изаренков,А.А. Леонтьев, И.И. Халеева и др.) позволяют по-новому рассмотреть вопросы обучения иностранных (франкоговорящих) студентов способам выражения пространственных отношений в русском языке, а именно: поэтапное формирование грамматико-коммуникативной компетенции ''«вторичной» языковой личности (ЯЛ2)'' студентов-иностранцев в процессе овладения базовыми лексико-грамматическими знаниями, навыками иумениями на основе системно-функционального подхода (Игнатова, 1997).
''Цель исследования'' — создание и теоретической обоснование лингвометодической модели формирования грамматико-коммуникативной компетенции «вторичной» языковой личности франкоговорящих студентов в процессе изучения [[ППК]] с пространственным значением.
''Объектом исследовании'' является динамический процесс поэтапного обучения франко говорящих студентов ППК с пространственным значением в соответствии с концепцией формирования грамматико-коммуникативной компетенции языковой
личности обучающихся.
''Предмет исследования'' - методика поэтапного формирования и развития грамматико-коммуникативной компетенции [[ЯЛ2]] франкоговорящих студентов при системно- функциональном подходе к изучению [[ППК]] с пространственным значением.
''Гипотеза исследования'' - эффективность процесса поэтапного формирования и развития грамматико-коммуникативной компетенции ЯЛ2 франкоговорящих студентов при усвоении ими ППК с пространственным значением повысится при следующих условиях:
- поэтапное формирование грамматико-коммуникативной компетенции ЯЛ2 франкоговорящих студентов при усвоении ППК спространственным значением, предполагающее формирование вербально-семантического («нулевого») и лингвокогнитивного («тезаурусного») уровней «вторичной» языковой личности учащихся подготовительного факультета;
- реализация системно-функционального подхода к обучению пространственным ППК русского языка франкоговорящих студентов впроцессе формирования у них грамматико-коммуникативной компетенции;
- предъявление в процессе изучения ППК русских и французских соответствий в способах выражения пространственных отношений с учетом интерферирующего влияния французского языка.
Для достижения указанной цели и проверки рабочей гипотезы в диссертационном исследовании решались следующие ''задачи'':
1) выяснить на основе анализа лингвистической, психолингвистической, психолого-педагогической и методической литературы степень изученности интересующей нас проблемы;
2) определить лингвометодическое содержание понятия «языковая личность» в ходе обучения грамматике, а также исследовать процесс поэтапного формирования грамматико-коммуникативной компетенции ЯЛ2;
3) выявить обусловленные интерферирующим влиянием французского языка трудные для усвоения франкоговорящими иностранными студентами пространственные ППК русского языка, установить типичные ошибки в их употреблении и причины их появления;
4) разработать и научно обосновать лингвометодическую модель формирования грамматико-коммуникативной компетенции ЯЛ2
франкоговорящих студентов в процессе усвоения ими ППК с пространственным значением;
5) проверить достоверность выдвинутой гипотезы в процессе экспериментального обучения на основе предлагаемой лингвометодической модели.
''Научная новизна исследования'' заключается в том, что:
- проведенное исследование выполнено в русле личностно-ориентированного подхода к поэтапному формированию грамматико-коммуникативной компетенции ЯЛ2 франкоговорящих студентов в процессе обучения ППК (оригинал ПГЖ) с пространственным значением;
- определена специфика использования методов и приемов поэтапного формирования грамматико-коммуникативной компетенции ЯЛ2 франкоговорящих студентов в процессе изучения пространственных ППК на основе системно-функционального подхода;
- учебный (языковой и речевой) материал отобран и систематизирован на основе сходств и различий между русским и французским языками.
''Теоретическая значимость'' работы состоит в том, что:
- сформулирован основной принцип отбора учебного материала,необходимого и достаточного для эффективного формирования грамматико-коммуникативной компетенции ЯЛ2 франкоговорящих студентов в процессе изучения исследуемого фрагмента языка - принцип системно-функционального подхода;
- разработана лингвометодическая (лингвомелодическая ?) модель обучения иностранных студентов ППК с пространственным значением, являющаяся составной частью комплексной методической системы,направленной на поэтапное формирование грамматико-коммуникативной компетенции франкоговорящих студентов как ЯЛ2;
- конкретизирована закономерность процесса усвоения франкоговорящими студентами грамматических единиц: чем выше уровень способностей иностранных студентов к самостоятельным теоретическим обобщениям собственного речевого опыта в родном языке, тем интенсивнее усвоение системно-функционального характер языкового знака в иностранном языке.
''Практическая значимость исследования.''
Разработанные программа, комплекс заданий, упражнений, таблиц, схем, грамматических правил и рекомендаций для обучения франкоговорящих иностранных студентов ППК с пространственным значением в условиях личностно-ориентированного обучения русскому языку на подготовительном факультете являются лингвометодическим средством реализации предложенной модели. Выявлены причины появления грамматических ошибок в процессе изучения пространственных ППК русского языка и их устойчивости в речи; определена типология подобных ошибок. Материалы исследования могут использоваться при обучении иностранных студентов подготовительных факультетов, при
подготовке студентов включенной формы обучения, на интенсивных курсах изучения РКИ, в процессе преподавания русского языка в национальных школах, в учебном процессе на филологическом факультете(специальность - русский язык как иностранный) и лицами,самостоятельно изучающими русский язык как иностранный.
Второй этап (2001-2002 гг.) - проектировочно-формирующий -проведение констатирующего эксперимента и определение основных направлений экспериментального обучения в целях формирования грамматико-коммуникативной компетенции ЯЛ2. На этом этапе были разработаны экспериментальная программа, учебно-экспериментальные материалы, тесты, комплекс заданий и упражнений. В течение этого времени проводилось экспериментальное обучение франкоговорящих иностранных студентов, в ходе которого было выявлено, что @@color:red;опора на родной язык (и/или язык-посредник) снимает трудности в усвоении изучаемых грамматических единиц и способствует эффективному формированию грамматико-коммуникативной компетенции @@ учащихся.
''Положения, выносимые на защиту''.
1. Обучение грамматическому аспекту иноязычной речевой деятельности должно осуществляться с учетом поэтапности становления иразвития грамматико-коммуникативной компетенции языковой личности иностранного студента, что предполагает формирование в процессе овладения русским языком вербально-семантического и лингвокогнитивного уровней «вторичной» языковой личности, а также закладывание основ мотивационно-прагматического уровня.
2. Результативность предлагаемой лингвометодической модели обучения грамматике франкоговорящих студентов в свете теории языковой личности повышается при подходе к ней как многомерному феномену, составляющим ядром которого являются а) сознание; б) знаковая система языка; в) правила и закономерности функционирования языковых единиц в процессе общения, т.е. формирование грамматико-коммуникативной компетенции ЯЛ2.
3. Обучение пространственным ППК русского языка франкоговорящих иностранных студентов следует строить на основе учета: а) системных и функциональных свойств единиц языка и речи, что позволяет им получить целостное представление о формальных,функционально-семантических и коммуникативных свойствах изучаемых единиц, вскрыть специфику их взаимодействия и механизмы функционирования в речи, что способствует методически обоснованному представлению грамматических явлений; б) специфики русского языка сравнительно с родным языком и/или языком-посредником, поскольку источником интерференции в процессе овладения предложно-падежными конструкциями русского языка являются несовпадения в исследуемых фрагментах русского и французского языков.
4. Разработанная личностно ориентированная методическая система обучения франкоговорящих студентов ППК с пространственным значением дает возможность учащимся более полно усвоить данный грамматический материал, способствует эффективному формированию их грамматико-коммуникативной компетенции, в структуру которой входят:теоретические знания о содержании изучаемых языковых единиц,грамматические навыки и умения (грамматическая компетенция) и коммуникативные знания, навыки и умения в использовании языковых единиц различных уровней в речевых ситуациях (коммуникативная компетенция).
Введение в научную парадигму нашего исследования понятия««вторичная» языковая личность» позволило установить принципиальную конгруэнтность уровневой организации языковой личности этапам формирования грамматико-коммуникативной компетенции учащихся как представителей определенного лингвосоциума в процессе овладения ими пространственными ППК русского языка. Эти этапы (вербально-семантическнй и лингвокогнитивный) предопределили цели и последовательность лингвометодической технологии обучения ППК на системно-функциональной основе
@@color:red; На вербально-семантическом уровне организации языковой личности происходит овладение учащимися структурно-системными связями изучаемого (русского) языка в параметрах его системообразующей функции, направленной на решение коммуникативных и когнитивных задач. @@ В связи с этим цель обучения практической грамматике иностранных студентов на этом уровне структуры языковой личности - формирование у студентов первичных (базовых) лексико-грамматических основ правильной иноязычной (русской) речи. Задача методики обучения на данном этапе - выработка у франкоговорящих студентов лексико-грамматических навыков в употреблении ППК в разных видах [[РД]] в пределах стереотипизированных речевых высказываний
@@color:red; Лингвокогнитивный (тезаурусный) уровень устройства языковой личности предполагает формирование у обучающихся умений не только (лингвистически) декодировать иноязычную речь (текст), но и оперативно подключать знания и представления о мире иной речевой общности@@ . В соответствии с этим перед методикой личностно ориентированного обучения ([[ЛОО]]) ППК с пространственным значением франкоговорящих студентов применительно к лингвокогнитивному уровню языковой личности стоят следующие задачи: 1) научить студентов проникать в механизмы смыслообразования через анализ речевой (текстовой) деятельности, выводя их за границы статичной языковой системы в
{{mon_vvp_s51_5}}
[[mon_vvp_s51_5]]
{{mon_vvp_s52_1}}
[[mon_vvp_s52_1]]
{{mon_vvp_s52_2}}
[[mon_vvp_s52_2]]
{{mon_vvp_s52_3}}
[[mon_vvp_s52_3]]
{{mon_vvp_s52_4}}
[[mon_vvp_s52_4]]
{{mon_vvp_s60_3}}
[[mon_vvp_s60_3]]
{{mon_vvp_s81_3}}
[[mon_vvp_s81_3]]
{{mon_vvp_s81_4}}
[[mon_vvp_s81_4]]
{{mon_vvp_s81_5}}
[[mon_vvp_s81_5]]
Нельзя обойти работы А.А. Мирошниченко [109] и его учеников [64, 157], в которых раскрывается определение понятий
«тезаурус специалиста» и «тезаурус специальности». По мнению исследователей, сущность той или иной профессии составляют
понятия различных уровней. Таким образом, проектирование содержания образовательного процесса, в частности разработка учебных планов и программ, строится на основе тезауруса специальности. В процессе обучения студенты овладевают тезаурусом специальности, присваивая профессиональные понятия и расширяя собственный тезаурус специалиста.
Получается, учебная программа представляет собой некий прообраз тезауруса будущего специалиста, то есть базис, который следует усвоить студенту в ходе обучения в вузе. Однако тезаурус специальности объёмен по своему содержанию и характеристикам, поэтому А.А. Мирошниченко вводит понятия «тезаурус дисциплин» (понятийный аппарат дисциплины) и «тезаурус модулей» (модуль как составная часть дисциплины).
К началу обучения в вузе студент имеет нулевой уровень тезауруса специальности, однако в ходе изучения модулей в составе дисциплин студент постепенно развивает и совершенствует личный тезаурус специальности. Между тем, «акмеологический тезаурус», по мнению А.А. Мирошниченко, является вершиной профессионального мастерства.
Подход А.А. Мирошниченко и его учеников близок подходу Л.И. Гурье, однако Гурье основным носителем тезауруса специальности считает преподавателя, чей тезаурус формировался под действием различных факторов, творчески переосмысливался и в переработанной форме передаётся студенту. Но передача тезауруса в полном объёме и чистом виде от одного лица к другому невозможна (как и передача знаний). Более того, система образования должна создавать полноценные условия для того чтобы тезаурус специальности студента был универсальнее и шире по окончанию обучения в вузе тезауруса специальности преподавателя. Данное умозаключение привело Л.И. Гурье к мысли о необходимости выделить смысловое ядро тезауруса специальности, то есть определить набор фундаментальных знаний, позволяющий студентам накапливать профессиональный потенциал на основе их изучения [49].
Следовательно, обучение можно интерпретировать как расширение тезауруса личности обучающегося при включении в
него новой информации. Оптимальный уровень обучения, таким образом, определяется общностью тезаурусов (тезауруса
преподавателя и тезауруса студента), и, соответственно, общностью языков субъектов образовательного взаимодействия (общностью языковой среды) [50, с. 69].
Таким образом, степень различия между донаучным (околонаучным) тезаурусом специальности и профессиональным тезаурусом может быть основным показателем выполнения федерального государственного образовательного стандарта высшего образования. Следовательно, профессиональный тезаурус адекватно и с должной полнотой характеризует уровень и качество полученного образования
Следствием снижения способности к абстрактному мышлению является, в первую очередь, низкая культура определения понятий и оперирования ими, «подмена» одного понятия другим, а также стремление перевести научные формулировки «на свой язык» [112, 123].
Другая проблема формирования профессионального тезауруса, связанная с психолого-интеллектуальными особенностями обучающихся, – наличие тезаурусных барьеров, когда информация не может быть переработана вследствие ограниченных языковых ресурсов, скудности понятийно-терминологического аппарата и скудности профессиональных знаний [65, 69, 187]. Вследствие этого формируется, по словам И.Ф. Неволина и М.Б. Позиной, «терминологическая фрустрация», возникающая при неудачной попытке овладеть содержанием изучаемого вопроса [112].
Терминологическая фрустрация, между тем, проявляется
двояко:
1) обучающийся испытывает «неосознаваемое неусвоение»,
то есть происходит иллюзия понимания предмета при его полнейшем непонимании;
2) обучающийся способен понять отдельные аспекты изучаемого вопроса, однако цельной картины сложить не удаётся, таким образом, глубокое и многоаспектное понимание содержания предмета невозможно.
[[Птицына И.Ф.]] Педагогические условия формирования межкультурной компетенции вторичной языковой личности студентов (на материале изучения японского языка и культуры)
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=823415]]*[ext[ссылка 2|https://new-disser.ru/_avtoreferats/01004122281.pdf]]
* {{pif_ar_s4_5}} * [[pif_ar_s4_5]]
* {{pif_ar_s4_6}}* [[pif_ar_s4_6]]
* {{pif_ar_s4_7}} * [[pif_ar_s4_7]]
* {{pif_ar_s6_5_1}} * [[pif_ar_s6_5_1]]
* {{pif_ar_s6_5_2}} * [[pif_ar_s6_5_2]]
* {{pif_ar_s6_5_3}} * [[pif_ar_s6_5_3]]
* {{pif_ar_s6_5_4}} * [[pif_ar_s6_5_4]]
* {{pif_ar_s6_6}} * [[pif_ar_s6_6]]
* {{pif_ar_s7_1}} * [[pif_ar_s7_1]]
* {{pif_ar_s7_5_0}} * [[pif_ar_s7_5_0]]
* {{pif_ar_s7_5_1}} * [[pif_ar_s7_5_1]]
* {{pif_ar_s7_5_2}} * [[pif_ar_s7_5_2]]
* { {pif_ar_s7_5}} * [[pif_ar_s7_5]]
* {{pif_ar_s8_1_1}} * [[pif_ar_s8_1_1]]
* {{pif_ar_s8_1_2}} * [[pif_ar_s8_1_2]]
* {{pif_ar_s8_1_3}} * [[pif_ar_s8_1_3]]
* {{pif_ar_s8_1_4}} * [[pif_ar_s8_1_4]]
* { {pif_ar_s8_1}} * [[pif_ar_s8_1]]
* {{pif_ar_s9_5}} * [[pif_ar_s9_5]]
* {{pif_ar_s9_6}} * [[pif_ar_s9_6]]
* {{pif_ar_s9_7}} * [[pif_ar_s9_7]]
* {{pif_ar_s10_1}} * [[pif_ar_s10_1]]
* {{pif_ar_s19_7_1}} * [[pif_ar_s19_7_1]]
* {{pif_ar_s19_7_2}} * [[pif_ar_s19_7_2]]
* {{pif_ar_s19_7_3}} * [[pif_ar_s19_7_3]]
* {{pif_ar_s20_1}} * [[pif_ar_s20_1]]
* {{pif_ar_s20_2}} * [[pif_ar_s20_2]]
* {{pif_ar_s20_3}} * [[pif_ar_s20_3]]
* {{pif_ar_s20_4}} * [[pif_ar_s20_4]]
* {{pif_ar_s21_1}} * [[pif_ar_s21_1]]
[[Птицына И.Ф.]] Педагогические условия формирования межкультурной компетенции вторичной языковой личности студентов (на материале изучения японского языка и культуры)
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=823415]]*[ext[ссылка 2|https://new-disser.ru/_avtoreferats/01004122281.pdf]]
*[[pif_ar]]
---
!! ''Педагогические условия формирования межкультурной компетенции вторичной языковой личности студентов (на материале изучения японского языка и культуры)''
* @@color:red; Цель исследования @@ - определить, теоретически обосновать и экспериментально проверить@@color:red; педагогические условия, обеспечивающие формирование межкультурной компетенции вторичной языковой личности студентов @@ на материале японского как второго иностранного языка.
* Предмет исследования - педагогическое обеспечение формирования межкультурной компетенции вторичной языковой личности студентов.
* Объект исследования - процесс формирования межкультурной компетенции.
---
*PrimYu
* { {pif_ar_s4_5}} * [[pif_ar_s4_5]]* { {pif_ar_s4_6}}* [[pif_ar_s4_6]]* { {pif_ar_s4_7}} * [[pif_ar_s4_7]]
---
* [[На защиту выносятся|pif_ar 1 nzv]]
* [[Научная новизна|pif_ar 1 nn]]
* {{pif_ar_s6_5_1}} * [[pif_ar_s6_5_1]]
* {{pif_ar_s6_5_2}} * [[pif_ar_s6_5_2]]
* {{pif_ar_s6_5_3}} * [[pif_ar_s6_5_3]]
* {{pif_ar_s6_5_4}} * [[pif_ar_s6_5_4]]
* {{pif_ar_s7_5_0}}
* {{pif_ar_s7_5_1}}
* {{pif_ar_s7_5_2}}
* {{pif_ar_s8_1_1}}
* {{pif_ar_s8_1_2}}
* {{pif_ar_s8_1_3}}
* {{pif_ar_s8_1_4}}
носится с трёхуровневым процессом речевой деятельности, состоящей из побудительно-мотивационной, ориентировочно-исследовательской (аналитико-синтетической) и исполнительной фаз. @@color:red;Таким образом, развивая концепцию «трёхуровневого представления модели языковой личности», учёный принимает тезис о трёхуровневом процессе речевой деятельности @@ .
''В заключении'' диссертации подведены итоги исследования, изложены его основные результаты:
1 .Теоретические аспекты формирования «вторичной языковой личности студентов» в рамках личностно-деятельностного подхода исходят из позиций философии, психологии и педагогики, предусматривающих- 1) личность как связь и иерархию деятельностей, определяемых исторически; 2) осознание себя как языковой личности в целом; 3) @@color:red; трёхуровневое представление модели языковой личности соотносится с трёхуровневым процессом речевой деятельности. @@
2. @@color:red; Уточнено содержание понятия «межкультурная компетенция вторичной языковой личности студентов», @@ определена её структура и компонентный состав, включающий: прагматический, когнитивный, эмоциональный и поведенческий составляющие. Межкультурная компетенция вторичной языковой личности - это способность воспринимать, понимать и интерпретировать феномены иной культуры, умение сравнивать их с феноменами собственной культуры, встраивать их в
свою картину мира. Прагматический компонент (формирует у студентов знания, умения и навыки, способствующие приобщению к этнолингвокультурным ценностям страны изучаемого языка и практическому использованию иностранным языком), когнитивный компонент (связан с такими категориями, как знания, мышление и процессы понимания, восприятие и понимание феноменов другой культуры, сравнивание их с собственным мировидением и культурным опытом, нахождение между ними различий и общности), эмоциональный компонент (формирует у студентов положительное отношение к изучаемому языку, к культуре народа, говорящего на этом языке, чуткое отношение и интерес к феноменам иной ментальности), поведенческий компонент (представлен знаниями норм повседневного этикета общения, отражающими особенности речевого поведения и национальной ментальности носителя языка, знаниями невербальных средств общения, принятых в данном культурном обществе). Определены низкий, недостаточный, оптимальный и высокий уровни МЖК.
3. Разработана и проверена на практике теоретическая модель формирования межкультурной компетенции вторичной языковой личности студентов, состоящая из следующих компонентов: целевого (цели, принципы, задачи), содержательного (функции, основные направления и содержание деятельности), организационно-практического (формы, методы, условия), критериально-уровневого (критерии, уровни, компоненты).
4. Определены педагогические условия формирования межкультурной компетенции вторичной языковой личности студентов: 1) реализация личностно-деятельностного подхода к организации воспитательно-образовательного процесса на основе учёта индивидуально-психологических особенностей и сферы личностных интересов обучаемых; 2) активизация осознания различий между культурами на основе контрастивно-компаративного лингвокультуроведческого анализа с опорой на аутентичный материал с этнокультурным компонентом; 3) обеспечение познавательной, проектно-исследовательской и практической деятельности студентов путём усиления воспитательной и внеаудиторной работы в неязыковом вузе.
5. Разработаны научно-практические @@color:red; рекомендации по формированию межкультурной компетенции вторичной языковой личности студентов для преподавателей японского языка как второго иностранного на неязыковых факультетах: @@ 1) методологическую основу формирования межкультурной компетенции целесообразно основывать на педагогических принципах природосообразности, культуросообразности и самодеятельности; 2) учёт особенностей различных культурных аспектов проблем «Восток - Запад», знание вопросов взаимоотношения восточных и западных культур позволяет воспитать человека, относящегося с уважением к ценностям других народов; 3) культура, являясь специфическим средством человеческой деятельности, проявляется в языке, исследуется через язык путём сопоставления языковых и культурных явлений на основе контрастивно-компаративного лингвокультуроведческого анализа (ККЛА) с опорой на аутентичный материал с этнокультурным компонентом. ККЛА позволяет выявить не только общее, универсальное, но и специфическое, национальное, что, в свою очередь, обеспечивает глубокое осознание национальной специфики родной
культуры; 4) одним из путей индивидуализации учебно-воспитательного процесса является методика изучения личностных качеств «Шестнадцать личностных факторов» - pf 16 Р.Б. Кэттелла, ориентировочная анкета Басса для учёта психологических особенностей студентов; 5) для поддержания мотивации изучения второму иностранному языку необходимо активно вовлекать студентов в различные внеаудиторные мероприятия, проводимые не только кафедрой, но и участвовать в мероприятиях, организовываемых другими институтами и университетами; 6) познавательная, проектно-исследовательская и практическая деятельность студентов активизирует воспитательную и внеаудиторную работу в неязыковом вузе.
''Объект исследования'' - процесс формирования межкультурной компетенции.
''Предмет исследования'' - педагогическое обеспечение формирования межкультурной компетенции вторичной языковой личности студентов.
''Цель исследования'' - определить, теоретически обосновать и экспериментально проверить педагогические условия, обеспечивающие формирование межкультурной компетенции вторичной языковой личности студентов на материале японского как второго иностранного языка.
''Научная новизна исследования'':
- уточнено понятие «межкультурная компетенция вторичной языковой личности студентов» как способность воспринимать, понимать и интерпретировать феномены иной культуры, умение сравнивать их с феноменами собственной культуры, встраивать их в свою картину мира;
- конкретизирована структура межкультурной компетенции вторичной языковой личности студентов, включающая прагматический, когнитивный, эмоциональный и поведенческий компоненты и определены уровни её сформированности (низкий, недостаточный, оптимальный и высокий);
- определены, теоретически обоснованы и проверены на практике педагогические условия, способствующие формированию межкультурной компетенции вторичной языковой личности студентов (на материале изучения японского языка и культуры): реализация личностно-деятельностного подхода к организации воспитательно-образовательного процесса на основе учёта индивидуально-психологических особенностей и сферы личностных интересов обучаемых; активизация осознания различий между культурами на основе контрастивно-компаративного лингвокультуроведческого анализа с опорой на аутентичный материал с этнокультурным компонентом; обеспечение познавательной, проектно-исследовательской и практической деятельности студентов путём усиления воспитательной и внеаудиторной работы в неязыковом вузе.
''Теоретическая значимость'' исследования заключается в разработке теоретической модели формирования межкультурной компетенции вторичной языковой личности, состоящей из целевого (цели, принципы, задачи), содержа-
тельного (функции, содержание деятельности, учебные материал и действия), организационно-практического (этапы, условия), критериально-уровневого компонентов (критерии - знания, навыки, умения; уровни - высокий, оптимальный, недостаточный, низкий).
* {{pif_ar_s7_5_0}} * [[pif_ar_s7_5_0]]
* {{pif_ar_s7_5_1}} * [[pif_ar_s7_5_1]]
* {{pif_ar_s7_5_2}} * [[pif_ar_s7_5_2]]
''На защиту выносятся следующие положения'':
1. Межкультурная компетенция вторичной языковой личности студентов -это способность воспринимать, понимать и интерпретировать феномены иной культуры, умение сравнивать их с феноменами собственной культуры, встраивать их в собственную картину мира.
2. Теоретическая модель формирования межкультурной компетенции вторичной языковой личности содержит целевой (цели, принципы, задачи), содержательный (учебные материал и действия, содержание деятельности), организационно-практический (этапы, условия), критериально-уровневый (критерии -
* {{pif_ar_s8_1_1}} * [[pif_ar_s8_1_1]]
* {{pif_ar_s8_1_2}} * [[pif_ar_s8_1_2]]
* {{pif_ar_s8_1_3}} * [[pif_ar_s8_1_3]]
* {{pif_ar_s8_1_4}} * [[pif_ar_s8_1_4]]
знания, навыки, умения; уровни - высокий, оптимальный, недостаточный, низкий) компоненты.
3 Структура межкультурной компетенции включает в себя прагматический компонент (формирует у студентов знания, умения и навыки, способствующие приобщению к этнолингвокультурным ценностям страны изучаемого языка и практическому использованию иностранного языка в ситуациях межкультурного взаимопонимания и познания), когнитивный компонент (связан с такими категориями, как знание, мышление и процессы понимания, восприятие и понимание феноменов другой культуры, сравнивание их с собственным мировидением и культурным опытом, нахождение между ними различий и общности), эмоциональный компонент (формирует у студентов положительное отношение к изучаемому языку, к культуре народа, говорящего на этом языке, чуткое отношение и интерес к феноменам иной ментальноcти и чужой культуры), поведенческий компонент (представлен знаниями норм повседневного этикета общения, отражающими особенности речевого поведения и национальной ментальности носителя языка, знаниями невербальных средств общения, принятых в данном культурном обществе).
4. Выполнение следующих педагогических условий (реализация личностно-деятельностного подхода к организации воспитательно-образовательного процесса на основе учёта индивидуально-психологических особенностей и сферы личностных интересов обучаемых; активизация осознания различий между культурами на основе контрастивно-компаративного лингвокультуроведческого анализа с опорой на аутентичный материал с этнокультурным компонентом, обеспечение познавательной, проектно-исследовательской и практической деятельности студентов путём усиления воспитательной и внеаудиторной работы в неязыковом вузе) позволяет сформировать межкультурную компетенцию вторичной языковой личности студентов.
5. Научно-практические рекомендации по формированию межкультурной компетенции студентов неязыковых вузов, изучающих японский язык в качестве второго иностранного языка.
В современных лингвистических и лингводидактических исследованиях проблема языковой личности находится в стадии интенсивной разработки (Г.И.Богин, В.В. Виноградов, Г.В. Елизарова («медиатор культур»), Ю Н Караулов, В.П. Фурманова («культурно-языковая личность»), И.И. Халеева и др.
Большое влияние на разработку данного вопроса оказали труды В.В. Виноградова, Г.И. Богина, Г.В. Елизаровой, Ю.Н. Караулова, В.П. Фурмановой и др., утверждающих, что умелое владение языком выступает предпосылкой воспитания социально активной личности, формирующей свои ценности, цели, мотивы, интересы и установки. Эта проблема также затрагивается в диссертационных исследованиях Н.И Алмазовой, @@color:red; СМ. Андреевой @@ , З.В. Возговой, Е.В.Мальковой, @@color:red; СБ. Мордас@@ , А.Б. Недосуговой, Г.Ю. Поскрёбышевой, И С.Роженцевой, О.Н. Хрусталёвой и др.
Вслед за @@color:red; СМ. Андреевой, СБ. Мордас @@ и др мы приходим к выводу, что трёхуровневое представление модели языковой личности Ю.Н. Караулова соот-
[ext[ссылка 1|http://nauka-pedagogika.com/viewer/394928/a#?page=1]]
[ext[ссылка 2|http://nauka-pedagogika.com/pedagogika-13-00-01/dissertaciya-formirovanie-yazykovoy-lichnosti-uchitelya-nachalnyh-klassov-v-pedagogicheskom-uchilische]]
* {{pop_ar_s01}}* [[pop_ar_s01]]
* {{pop_ar_s02}}* [[pop_ar_s02]]
* {{pop_ar_s1_1}}* [[pop_ar_s1_1]]
* {{pop_ar_s1_2}}* [[pop_ar_s1_2]]
* {{pop_ar_s1_3}}* [[pop_ar_s1_3]]
* {{pop_ar_s1_4}}* [[pop_ar_s1_4]]
* {{pop_ar_s1_5}}* [[pop_ar_s1_5]]
* {{pop_ar_s1_6}}* [[pop_ar_s1_6]]
* { {pop_ar_s1}}* [[pop_ar_s1]]
* { {pop_ar_s2}}* [[pop_ar_s2]]
* {{pop_ar_s2_1}}* [[pop_ar_s2_1]]
* {{pop_ar_s2_2}}* [[pop_ar_s2_2]]
* {{pop_ar_s2_3}}* [[pop_ar_s2_3]]
* {{pop_ar_s2_4}}* [[pop_ar_s2_4]]
* {{pop_ar_s2_5}}* [[pop_ar_s2_5]]
* {{pop_ar_s2_6}}* [[pop_ar_s2_6]]
* {{pop_ar_s3_1}}* [[pop_ar_s3_1]]
* {{pop_ar_s3_2}}* [[pop_ar_s3_2]]
* {{pop_ar_s3_3}}* [[pop_ar_s3_3]]
* {{pop_ar_s3_4}}* [[pop_ar_s3_4]]
* {{pop_ar_s3_5}}* [[pop_ar_s3_5]]
* {{pop_ar_s3_6}}* [[pop_ar_s3_6]]
{ {pop_ar_s3}}* [[pop_ar_s3]]
* {{pop_ar_s4_1}}* [[pop_ar_s4_1]]
* {{pop_ar_s4_2}}* [[pop_ar_s4_2]]
* {{pop_ar_s4_3}}* [[pop_ar_s4_3]]
* { {pop_ar_s4}}* [[pop_ar_s4]]
* {{pop_ar_s5}}* [[pop_ar_s5]]
* {{pop_ar_s6}}* [[pop_ar_s6]]
* {{pop_ar_s7}}* [[pop_ar_s7]]
* {{pop_ar_s8}}* [[pop_ar_s8]]
* {{pop_ar_s9}}* [[pop_ar_s9]]
* {{pop_ar_s10_1_6}}* [[pop_ar_s10_1_6]]
*
| Наименование блока | К-во | % |
|1. Упражнения, направленные на формирование языковой и лингвистической компетенции | 982 | 81 |
|2. Упражнения, направленные на формирование коммуникативной компетенции | 136 | 11.2 |
|3. Упражнения, направленные на формирование общеучебных знаний и умений | 95 | 7,8 |
* {{pop_ar_s10_7}}* [[pop_ar_s10_7]]
* {{pop_ar_s10_8_9}}* [[pop_ar_s10]]
* {{pop_ar_s11}}* [[pop_ar_s11]]
* {{pop_ar_s12}}* [[pop_ar_s12]]
* {{pop_ar_s13}}* [[pop_ar_s13]]
* {{pop_ar_s14}}* [[pop_ar_s14]]
* {{pop_ar_s15}}* [[pop_ar_s15]]
* {{pop_ar_s16}}* [[pop_ar_s16]]
```
* {{pop_ar_s17}}* [[pop_ar_s17]]
* {{pop_ar_s18}}* [[pop_ar_s18]]
* {{pop_ar_s19}}* [[pop_ar_s19]]
*
```
Формирование языковой личности учителя начальных классов в педагогическом училище
[ext[ссылка 1|http://nauka-pedagogika.com/viewer/394928/a#?page=1]] **[ext[ссылка 2|http://nauka-pedagogika.com/pedagogika-13-00-01/dissertaciya-formirovanie-yazykovoy-lichnosti-uchitelya-nachalnyh-klassov-v-pedagogicheskom-uchilische]]
[[pop_ar]]
---
!!''Формирование языковой личности учителя начальных классов в педагогическом училище''
* @@color:red;Цель исследования @@: определить дидактические пути'' формирования'' //в педагогическом училище//'' языковой личности учителя начальных классов,'' совершенствовать технологию обучения будущего педагога, выявить условия для успешного развития его языковой, лингвистической, коммуникативной и профессиональной компетенции.
* Предмет исследования - дидактико-методические принципы, формы, методы и средства формирования языковой личности учителя начальных классов.
* Объект исследования - процесс подготовки учителя в педагогическом училище.
---
*PrimYu
* { {pop_ar_s1_6}}* [[pop_ar_s1_6]]**{ {pop_ar_s2_2}}* [[pop_ar_s2_2]]** { {pop_ar_s2_3}}* [[pop_ar_s2_3]]
---
*[[На защиту выносятся|pop_ar 1 nzv]]
*[[Научная новизна|pop_ar 1 nn]]
Основные положения диссертации, выносимые на защиту:
1. Формирование высоконравственной языковой личности учителя актуально и перспективно как с точки зрения совершенствования качества подготовки специалистов в педагогическом училище, так и в аспекте решения проблемы повышения эффективности учебно-воспитательного процесса в общеобразовательной школе.
2. Высоконравственная языковая личность учителя начальных классов сформируется только целенаправленными усилиями преподавателей всех учебных предметов при условии, что основные функции в этой работе осуществляются преподавателями филологического цикла.
3. Успешное формирование языковой личности учителя начальных классов в педагогическом училище невозможно без переосмысления лингводидактических основ преподавания родного и русского языков, соответствующей корректировки программ и учебников.
4. Концептуальные идеи " педагогической грамматики " основываются на реальной целесообразности и задачах подготовки молодых людей к профессиональной деятельности в начальной школе, а не только на их языковой компетенции. Ее сущность в том, что овладение языком как средством общения не равноценно овладению языковыми средствами. Цель преподавания языков в педагогическом училище определяется социальным заказом общества школе, их ролью и местом в учебно-воспитательном процессе, деятельности учителя.
5. Проверенные в ходе экспериментально-опытного обучения обновленные учебные программы, методические разработки и рекомендации, обеспечивающие формирование языковой личности учителя начальных классов при изучении основных предметов учебного плана.
* { {pop_ar_s4_2}}
<center>
МИНИСТЕРСТВО ОБРАЗОВАНИЯ РЕСПУБЛИКИ БЕЛАРУСЬ
НАЦИОНАЛЬНЫЙ ИНСТИТУТ ОБРАЗОВАНИЯ
</center>
УДК 377.5.03:371.12
<center>
ПРОТЧЕНКО ОЛЬГА ПЕТРОВНА
ФОРМИРОВАНИЕ ЯЗЫКОВОЙ ЛИЧНОСТИ УЧИТЕЛЯ НАЧАЛЬНЫХ КЛАССОВ В ПЕДАГОГИЧЕСКОМ УЧИЛИЩЕ
13.00.01 - общая педагогика
АВТОРЕФЕРАТ
диссертации на соискание ученой степени кандидата педагогических наук
Минск - 1997
</center>
Работа выполнена в Национальном институте образования Министерства образования Республики Беларусь
|Научный руководитель - |доктор филологических наук, |
| |профессор А.Е. Михневич |
|Научный консультант - |академик Бел АО, |
| |доктор философских наук, |
| |профессор Н.И. Латыш |
| | |
|Официальные оппоненты - |доктор педагогических наук, |
| |профессор К.В. Гавриловец; |
| |кандидат педагогических наук, |
| |доцент И.И. Рыданова |
|Оппонирующая организация - | Гомельский областной ИПК и переподготовки руководящих работников и специалистов образования |
Защита состоится 8 мая 1997 г. в 11.00 часов на заседании Совета Д.02.23.01 по защите диссертаций на соискание ученой степени доктора наук в Национальном институте образования Министерства образования Республики Беларусь по адресу: 220004, г. Минск, ул. Короля, 16 (актовый зал, к. 302).
С диссертацией можно ознакомиться в библиотеке Национального института образ'ования Министерства образования Республики Беларусь.
Автореферат разослан 8 апреля 1997 г.
Ученый секретарь
Совета по защите диссертаций В.В. Чечет
* {{pop_ar_s1_1}}* [[pop_ar_s1_1]]
* {{pop_ar_s1_2}}* [[pop_ar_s1_2]]
* {{pop_ar_s1_3}}* [[pop_ar_s1_3]]
* {{pop_ar_s1_4}}* [[pop_ar_s1_4]]
* {{pop_ar_s1_5}}* [[pop_ar_s1_5]]
* {{pop_ar_s1_6}}* [[pop_ar_s1_6]]
<center> ''ОБЩАЯ ХАРАКТЕРИСТИКА РАБОТЫ'' </center>
Актуальность темы диссертации. Важную роль в функционировании общества и разносторонней деятельности человека выполняет язык, слово. Ничем не заменимо его место и значение в воспитании, обучении и развитии ребенка. Слово помогает растущему человеку стать личностью: определить идеалы, взгляды и позиции, выработать мировоззрение, усвоить нормы поведения в контексте конкретной национальной культуры, сформировать способность воспринимать и создавать тексты, не одинаковые по языковой структуре, целенаправленности, глубине и точности отражения действительности.
На этапе реформирования системы образования особенно актуальной становится проблема формирования языковой личности учителя начальных классов: наставника, способного учить подрастающее поколение пользоваться языком с учетом культуры, историко-, этно-, социо-, психолингвистических особенностей региона. Речевое поведение педагога в общении с младшими школьниками определяет стиль его методики: является она гуманистической или авторитарно-догматической, позволяет судить о мастерстве, интеллектуальном, духовном и нравственном развитии педагога, его языковой, лингвистической и дидактико-методической компетенции.
Учитывая практическую значимость проблемы и ее недостаточную разработанность в педагогической науке, соискатель избрал тему диссертационного исследования "Формирование языковой личности учителя начальных классов в педагогическом училище".
Связь работы с научными программами, темами. Исследование выполнялось как составная часть темы-заказа Минпроса БССР и НИИ педагогического образования АПН СССР "Научно-педагогические основы системы профотбора в педагогические учебные заведения" (1991-1992 гг.). Соискатель принимал участие в разработке Концепции развития среднего специального образования в Республике Беларусь (1993 г.). Исследование осуществлялось с учетом идей и положений "Канцэпцьи моунай адукацьн у школах Беларуси (1992 г.) и "Концепции образования и воспитания в Беларуси" (1993 г.).
'' Цель исследования'': определить дидактические пути формирования в педагогическом училище языковой личности учителя начальных классов, совершенствовать технологию обучения будущего педагога, выявить условия для успешного развития его языковой, лингвистической, коммуникативной и профессиональной компетенции.
В ходе исследования подтвердилась мысль о том, что реализация принципа профессиональной направленности не может быть в полной мере обеспечена, если решению этой задачи не подчинены содержание и структура заданий к упражнениям.
Количественный анализ учебников по белорусскому языку показал, что из 738 упражнений только 116 (15,7 %) составляют связные тексты. Из них текстов из художественной литературы - 52 (44,8 %), публицистической - 33 (28,4 %), научной - 3 (2,5 %). Текстов, тематически связанных с педагогической профессией, только 9 (6,0 %).
Недостаточно отражена в текстах учебников этнокультурная направленность - 4 связных текста (3,4 %).
Что касается учебников по русскому языку, то из 575 упражнений . связных текстов - 97 (16,8 %). Из них текстов из художественной литературы - 86 (88,6 %), публицистической - 7 (7,2 %), научной - 4 (4,1 %).
Профессия учителя представлена двумя текстами: "Человек в футляре" А.П. Чехова и "Письмо учителю" В.Г. Лидина. Слабо освещен и россиеведческий компонент.
Дидактическая направленность учебников по белорусскому и русскому языкам аккумулирована и представлена в исследовании тремя блоками. 1213 упражнений распределены по блокам следующим образом:
| Наименование блока | К-во | % |
|1. Упражнения, направленные на формирование языковой и лингвистической компетенции | 982 | 81 |
|2. Упражнения, направленные на формирование коммуникативной компетенции | 136 | 11.2 |
|3. Упражнения, направленные на формирование общеучебных знаний и умений | 95 | 7,8 |
В программах и учебниках недостаточно решена проблема преемственности подачи теоретического и практического материала по отношению к программам общеобразовательной школы. Ответственность за качество речевых умений и навыков неоправданно возлагается только на преподавателей филологических дисциплин. Идея формирования языковой личности учителя начальных классов в педагогическом училище до настоящего времени не выдвигалась. Эта важная социально-педагогическая проблема подменяется довольно абстрактной идеей обучения культуре речи и стилистике.
В третьей главе "Экспериментальная методика формирования языковой личности учителя начальных классов в педагогическом училище" представлены методика экспериментально-опытного обучения, модифи-
цированная соискателем "модель языковой личности , концептуальные подходы.
Экспериментальная методика ориентирована на:
- использование текстов с профессионально-направленным содержанием в процессе обучения языкам и другим предметам;
- применение на занятиях по родному и русскому языкам параллельно с "грамматическим разбором" углубленного "многоаспектного анализа" связных литературных текстов и высказываний самих учащихся;
- необходимость дополнять языковой анализ синтезом: учить самостоятельно строить и перестраивать разного типа словосочетания, простые и сложные предложения, а также связные тексты, отличающиеся содержанием, языковой структурой, типами и жанрами речи;
- формирование у будущих учителей средствами языка нравственных качеств: способности субъекта осознавать свою речевую деятельность как этическое, поведение и поступок.
Изложены дидактико-методические принципы: активизации речевой деятельности обучаемых; ориентации на межпредметные связи и взаимодействие преподавателей; опоры на связную речь при формировании языковой, лингвистической, коммуникативной и профессиональной компетенции, преемственности и развития при обогащении тезауруса; внимания к этической стороне речи.
В диссертации проводится мысль о том, что готовность личности к профессиональной деятельности формируется на занятиях по всем предметам и наиболее ярко проявляется на уровне дискурса. В процессе речевого общения и поведения проявляются такие личностные качества учителя, как любовь к детям, благородство, общительность, дружелюбие, внимательность, чуткость, отзывчивость, разумная уступчивость, тактичность, способность к сопереживанию, милосердие, педагогическая справедливость, совесть, честность, скромность, умение устанавливать правильные взаимоотношения. Следовательно, дискурсивное знание рассматривается как структурный компонент языковой личности.
Экспериментально-опытное обучение проводилось в Могилевском и Оршанском педагогических училищах в течение 1982-1986 гг. В нем участвовало 150 человек ( по три учебные группы в каждом училище ). В качестве контрольных были определены по одной учебной группе в Волковыском, Горецком, Гомельском, Лоевском педучилищах и две группы з Пинском. В них обучалось 162 человека.
На начальном этапе эксперимента были разработаны " Нормы оценки письменных работ по русскому, белорусскому языкам и литературе учащихся педагогических училищ", " Критерии и нормы оценки знаний,
умений и навыков по русскому языку учащихся национальных (нерусских) групп педагогических училищ
В аспекте целей и задач исследования был изучен, обобщен, а затем опубликован в виде брошюр и рекомендован для использования в учебном процессе опыт работы преподавателей педучилищ: Оршанского
- Р.И.Скакун "Методика проведения опроса на уроках русского языка"; Лоевского - A.B. Кукаро "Вывучэнне тэмы "Сучасная беларуская паэзю" у педагапчных вучьшшчах"; Пинского - П. А. Орлов "Организация и проведение учебно - полевой практики в педагогическом училище; Горецкого
- С. В. Пенчанский "Изучение темы "Рациональные и действительные числа в курсе теоретических основ начального курса математики*. Весь этот материал диссертантом подготовлен к печати.
Разработаны дополнительные учебные программы и методические рекомендации: "Школьное сценическое искусство* Н. П. Ермак, О. П.. Протченко; "Беларуская дзiцячая лтаратура" М.Б. Яфiмава; "Изобразительное искусство с методикой преподавания* Л.Е. Романенко, В.Н. Данилов и др., "Метадычныя рэкамендацьи па абсталяванню кабжета беларускай мовы з методыкай выкладання i беларускай лiтаратуры 9 педагапчным вучьнишчы" В.П. Протчанка, Я. С. Рымкевiч.
Подготовленные материалы были разосланы в экспериментальные педагогические училища. В них аккумулированы концептуальные подходы соискателя, а также идеи и опыт преподавания родного и русского языков и других предметов в аспекте проблемы исследования в педагогически ориентированных учебных заведениях. Они помогали экспериментаторам целенаправленно организовывать работу по формированию языковой личности учителя начальных классов, опираясь на активизацию всех видов речевой деятельности: чтения, говорения, аудирования, письменной речи, перевода текстов с одного языка на другой. В связи с новым пониманием дидактического решения проблемы развития речи как одного из направлений в работе по формированию языковой личности учителя начальных классов перед преподавателями экспериментальных групп были поставлены дополнительные задачи: объяснить обучаемым, как и почему люди понимают тексты, которые они читают или слышат, благодаря чему они реагируют на полученную информацию; какое участие в этом процессе принимают речевые механизмы -интеллект, мышление, долговременная и кратковременная память, эмоциональная сфера и др. Естественно, задачи эксперимента потребовали корректировки традиционного содержания, представленного в программах и учебниках по родному и русскому языкам, активизации межпредметных связей - взаимодействия в работе преподавателей всех дисциплин. Вносились коррективы в учебники и учебные пособия, а также орга-
низацию учебно-воспитательного процесса и работу предметных ( цикловых ) комиссий. Важно было организовать учебный процесс так, чтобы в ходе изучения языков и других предметов учащиеся выполняли сопутствующие упражнения, направленные на понимание текстов, осмысление теории их создания, не повторяясь в знаниях и способах учебной деятельности, сформированной на предшествующих этапах.
В центре внимания экспериментаторов находились когнитивный (те-заурусный), мотивационно-прагматический и дидактико-методический уровни языковой личности, обогащение тезауруса - педагогически ориентированного словаря обучаемых - лексикой, отражающей педагогические, духовные, этнокультурные и другие социально значимые ценности. Это направление в экспериментальной работе рассматривалось как ведущая идея в системе формирования языковой, лингвистической, коммуникативной и дидактико-методической компетенции - основного ядра в структуре языковой личности учителя начальных классов. Постоянную помощь в подготовке учебных материалов, организации и проведении экспериментально - опытного обучения оказывала предметная комиссия Могилевского педагогического училища (председатель комиссии -Л.А. Маркова).
В подразделе 3.4 "Проверка эффективности экспериментальной методики* излагается сопоставительный анализ результатов обучения в экспериментальных группах по сравнению с контрольными, который позволяет утверждать, что в первых группах практическая речевая деятельность в виде чтения, говорения, подготовки устных и письменных высказываний на профессиональные, учебные и этнокультурные темы положительно сказалась на обогащении словаря учащихся, развитии грамматического строя их речи, коммуникативных и дидактико - методических умений и навыков. Упражнения в употреблении новых слов и грамматических конструкций улучшили орфографическую и пунктуационную грамотность, о чем свидетельствуют статистические данные, представленные в таблицах и рисунках диссертации.'
В экспериментальных группах улучшилась речевая этика и культура обучаемых. Они стали сдержаннее в выражении своих эмоций, более критичны в отношении к собственным высказываниям, активнее в реагировании на условия и ситуацию общения. В их речи полнее стало проявляться дифференцированное отношение к собеседникам: вежливость, учтивость, соучастие; внимательность к возрасту; соблюдение служебной субординации. Заметно снизилась категоричность в суждениях, касающихся бытовых, служебных, профессиональных, морально - этических, хозяйственно - экономических и социально - политических фактов и явлений. В целом учащиеся экспериментальных групп заметно
выделялись на фоне своих сверстников во время проведения педагогической практики и внеклассных мероприятий: диспутов, научно - практических конференций, олимпиад и т. д. Намного богаче стал их тезаурус. В речи появилось больше слов, обозначающих профессиональные понятия, морально - этические категории, культурные ценности и др. Выпускники употребляли больше фразеологизмов, пословиц, поговорок, крылатых слов и выражений из художественной литературы. Следует отметить и то, что будущие учителя научились владеть своим голосом, соотносить его с аудиторией. Исчез излишний риторизм, искусственный пафос и другие нежелательные явления, которые мешают слушателям ( слушателю ) воспринимать и положительно рефлексировать на публичную устную речь. Все изложенное свидетельствует о сформированное™ языковой личности учителя, ее основного ядра - нравственной культуры, языковой, лингвистической, коммуникативной и дидактико-методической компетенции.
''ВЫВОДЫ''
В процессе исследования сформулированы следующие основные выводы:
1. Языковая личность учителя начальных классов - это человек богатой культуры, с явно выраженной творческой индивидуальностью, "положительным коммуникативным ядром", обладающий дидактико - методической, языковой, лингвистической и коммуникативной компетенцией, желанием производить благородные речевые поступки, создавать и принимать произведения речи, пользоваться языком и речью во всех функциях: педагогической, познавательной, Национально - культурной, аккумулятивной.
2. Позитивных результатов в формировании языковой личности учителя начальных классов добиваются те коллективы педагогических училищ, которые рассматривают организованную речевую деятельность как активный метод обучения своих питомцев, воспринимают ее как сферу, в которой совершается становление мировоззрения и духовного облика обучаемых, важнейшее всеохватывающее средство репрезентации их индивидуального сознания и внутренней культуры, а совершенствование языковой, коммуникативной и дидактико-методической компетенции понимают как цель обучения.
3. Формирование языковой личности учителя начальных классов в педагогическом училище осуществляется эффективно, если педагогические коллективы воспринимают эту задачу как социальный заказ, по-
литику а сфере языкового образования и часть целостной концепции воспитания.
4. В системе формирования языковой личности учителя начальных классов основное место занимают предметы филологического цикла, которые в комплексе с другими дисциплинами обогащают будущих специалистов духовно.
5. Овладение языком как средством общения, обучения, воспитания и развития не равноценно овладению языковыми средствами. Цель преподавания родного и русского языков в педагогическом училище определяется их ролью и местом а деятельности учителя и в учебно-воспитательном процессе.
6. Педагогическим училищам необходима так называемая "педагогическая грамматика", то есть новые дидактико - методические подходы к преподаванию языков, программы, учебники и другие средства обучения, которые исходят из реальной целесообразности и задач подготовки будущих учителей к многосторонней деятельности в начальной школе, а не только из потребности в языковых знаниях.
7. Успехов в работе по формированию языковой личности учителя начальных классов достигают те преподаватели родного и русского языков, которые организуют свою деятельность совместно с преподавателями других предметов, опираясь на направленность профессионального мышления обучаемых и этнокультуру.
''СПИСОК ОПУБЛИКОВАННЫХ РАБОТ ПО ТЕМЕ ДИССЕРТАЦИИ''
1. Нормы оценки письменных работ по русскому, белорусскому языкам и литературе учащихся педагогических училищ. -/Ин.: МГПИ, 1979.7 с.
2. Школьное сценическое искусство. Программа факультативного курса для педагогических училищ. -Мн.: РНМК, 1980.-12 с. (в соавт. с Ермак Н.П.).
3. Критерии и нормы оценки знаний, умений и навыков по русскому языку учащихся национальных (нерусских) групп педагогических училищ. -Мн.: УМС МП СССР, 1985.-11 с. (в соавт. с Серебряной Ф.И., Обыздковой З.А.).
4. Метадычныя рэкамендацьн па абсталяванню кабинета беларускай мовы з методыкай выкладання i беларускай лггаратуры 9 педагагНным аучьшшчы. -Мн.: РВМК, 1987.-13 с. (у сааут. з Рымкевiч Я.С.).
5. Канцзлцыя разв1цця сярэдняй спецыяльнай адукацы! 9 Рэслублщы Беларусь (праект). Аутарскт - I-IV раздзелы // Адукацыя i выхаванне. -1993 -Ns 7-8. -С. 46-65.
6. Адукацыя, школа I нацыянальная культура // Пачатковая школа. -1993.-№ 1. -С. 7-10 (у сааут. з Протчанка В.У.).
7. Крытэрьп прафесмнай прыгоднасш'. Вопыт выяулення прафесмнай нак1раванасц1 аб'|турыентау педагапчных устаноу // Адукацыя \ выхаванне. -1993.-№ 12. -С. 81-87 (у сааут. з Шынпрэй Т.А., Мушынскай Т.Ф.).
8. Речь учителя в системе педагогических отношений // Образование XXI века: Проблемы повышения квалификации работников образования: Тез. докл. междунар. конф. -Мн.: ИПК, 1993.-Т. 1. - С. 366-367.
9. Падрыхтоука настаужка па беларускай мове ! патрабаванж пачат-ковай школы // Беларуская мова I л1таратура: Тэз. дакл. Рэспубл. канф. -Мн.: БДУ, 1994. -С. 60-62 (у Сааут. з Протчанка В.У.).
10. Нацыянальнае адраджэнне I моуная падрыхтоука настаужка для пачатковай школы // Адукацыя ( нацыянальна - культурнае адраджэнне: Тэз. навук. дакл. на мiжнар. канф. -Мн.: Н1А, 1994.-Т.1. -С. 109-111.
РЭЗЮМЕ
Протчанка Вольта Пятроуна
Фаркфаоанне моунай асобы настаужка
пачатковых класау у педагапчным вучылшчы »
Ключавыя словьг мощная асоба настаужка пачатковых класау, ма-дэль, кампетэнтнасць, прафес'|йная кампетэнтнасць, кампетэнцыя: мощная, лЫгвютычная, камужкатыуная, дыдактыка-метадычная, ыентал1тэт, мауленчая дзейнасць, мауленчыя паводзмы, мауленчы учынак.
Аб'ект даследавання: працэс падрыхтоую настаужка 9 педагапчным вучылшчы.
Пралмет даследавання: дыдактыка-метадычныя прынцыпы, формы, метады I сродю фарм1равання моунай асобы настаужка пачатковых класау.
Мэта даследавання: вызначыць дыдактычныя шлях1 фарм1равання у педагапчным вучьшшчы моунай асобы настаужка пачатковых класау, удасканалщь тэхналопю навучання будучага наставка, выявщь умовы пасппховага развщця яго моунай, лшгвютычнай, камужкатыунай 1 прафесшнай кампетэнцьй.
Метады даследавання. У даследаванж выкарыстаны метады: тэарэ-тычны аналю фшасофскай, пахолага-педагапчнай, лЫгвадыдактычнай 1 метадычнай лп-аратуры па тэме даследавання; мэтанаираваныя наз1ранж; анал1з вучэбна-метадычнай дакументацыи планау, праграм, падручжка}?1 вучэбных дапаможжкау; анкетаванне I субяседаванне з выкладчыкамк наоучэнцам11 аб1турыентам1; выяуленне узроуню ведау, аналггыка-сштэтыч-ных 1 практичных мауленчых уменняу навучэнцау; асэнсаванне, апюанне 1 абагульненне перадавога педагапчнага вопьггу; экспер'ыментальна-вопыт-нае навучанне на аснове аутарскай методыы.
У дысертацьм дадзена'азначэнне паняцця "моуная асоба настаужка пачатковых класау", раскрыты яго змест, аб'ём ¡ структура. Распрацава-ны канцэптуальныя падыходы, метадалапчныя I лшгвадыдактычныя асно-вы фарм1равання моунай асобы настаужка пачатковых класа}.
У працэсе даследавання установлена: высок^маральная моуная асоба настаужка пачатковых класау паспяхова фарм1руецца, кал1 гэтая задача успрымаецца педагапчным калектывам як сацыяльны заказ I забяспеч-ваецца дыдактыка-метадычным1 сродкамг
Выжы даследавання могуць быць выкарыстаны пры падрыхтоуцы настау»ика? пачатковых класау, стварэнж вучэбных прафам, дапаможжкау, падручнжау па роднай I рускай мовах для педагапчных навучальных устаноу.
РЕЗЮМЕ Протченко Ольга Петровна Формирование языковой личности учителя начальных классов в педагогическом училище
Ключевые слова: языковая личность учителя начальных классов, модель, компетентность, профессиональная компетентность, компетенция: языковая, лингвистическая, коммуникативная, дидактико - методическая, менталитет, речевая деятельность, речевое поведение, речевой поступок.
Объект исследования - процесс подготовки учителя в педагогическом училище.
Предмет исследования - дидактико - методические принципы, формы, методы и средства формирования языковой личности учителя начальных классов.
Цель исследования - определить дидактические пути формирования в педагогическом училище языковой личности учителя начальных классов, совершенствовать технологию обучения будущего педагога, выявить условия для успешного развития его языковой, лингвистической, коммуникативной и профессиональной компетенции.
Методы исследования. В исследовании использованы основные методы: теоретический анализ философской, психолого-педагогической, лингводидактической и методической литературы по теме исследования; целенаправленные наблюдения; анализ учебно-методической документации: планов, программ, учебников и учебных пособий; анкетирование. беседы с преподавателями, учащимися и абитуриентами; выявление уровня знаний, аналитико-синтетических и практических речевых умений учащихся; осмысление, описание и обобщение передового педагогического опыта; экспериментально-опытное обучение на основе авторской методики.
В диссертации дано определение понятия "языковая личность учителя начальных классов", раскрыто его содержание, объем и структура. Разработаны концептуальные подходы, методологические и лингводидактические основы формирования языковой личности учителя начальных классов.
В процессе исследования установлено: высоконравственная языковая личность учителя начальных классов успешно формируется, если эта задача воспринимается педагогическим коллективом как социальный заказ и обеспечивается дидактико-методическими средствами.
Результаты исследования могут быть использованы при подготовке учителей начальных классов, создании учебных программ, пособий, учебников по родному и русскому языкам для педагогических учебных заведений.
Summary
Protchenko Olga Petrovna
The Language Personality Formation of Primary School Teacher at Pedagogical School
Key words: personality, Language Personality, Model Language Personality of Primary School Teacher, Model, competency, professional competency, competence, language competence, linguistic competence, communicativo competence, didactic - methodical competence, mentality, speech activity, speech behaviour, speech action.
The Object under investigation - Tcacher Preparation Process at secondary pedagogical educational establishment.
The Subject under investigation - Didactic-methodical principles, forms, methods and means of Language Personality Formation of Primary Shool Teacher.
The aim of the investigation is to determine the ways of Primary Shool Teacher's Language Personality Formation at pedagogical school; to reveal the conditions for successful development of language, linguistic, communicative and professional competence.
Methods of the investigation: Descriptive synchro-analitical method, experiment, theoretical analysis of Philosophy, Psyhology, Pedagogics, Linguistics, Didactics and Methodology literature, curriculum, programme, textbook analysis, the qustionnaire method, interviews with shool feathers and students, evaluation of knowledge and learning results, experimental teaching ore being treated as leading methods of research.
For the first time the term of Language Personality Formation of Primary Shool Teacher is defined. Its contents, structure and volumo are determined. Concept, Methodology and Linguistics approaches to Teacher's Languags Personality Formation are y/orked out in the paper.
It is proved in the paper that Language Personality Formation of teacher with high morality principles and values depends on social task, needs and demands understood by body of teachers. Co-operating teachers contributions and activities must be ensured by didactic-methodical means.
The results of the investigation may be used in tho process of Primary Shool Teacher Training, in preparing new curriculum, programmes and toxtbooks on Native and Russian Language for pedagogical educational establishments.
* {{pop_ar_s2_1}}* [[pop_ar_s2_1]]
* {{pop_ar_s2_2}}* [[pop_ar_s2_2]]
* {{pop_ar_s2_3}}* [[pop_ar_s2_3]]
* {{pop_ar_s2_4}}* [[pop_ar_s2_4]]
* {{pop_ar_s2_5}}* [[pop_ar_s2_5]]
* {{pop_ar_s2_6}}* [[pop_ar_s2_6]]
''Задачи исследования'':
1. Определить понятие "языковая личность учителя начальных классов", его объем и структуру.
2. Разработать методологические и лингводидактические основы формирования в педагогическом училище языковой личности учителя начальных классов, способной осуществлять обучение и воспитание младших школьников в условиях многонационального классного коллектива.
3. Упорядочить систему, содержание и направленность языковых курсов в педагогическом училище.
4. Выявить оптимальные пути и средства обучения, способствующие успешному формированию языковой личности будущего учителя начальных классов в условиях среднего педагогического учебного заведения.
''Объект исследования'' - процесс подготовки учителя в педагогическом училище.
''Предмет исследования'' - дидактико-методические принципы, формы, методы и средства формирования языковой личности учителя начальных классов.
''Гипотеза исследования''. Формирование высоконравственной языковой личности учителя начальных классов в педагогическом училище осуществляется успешно, если речевая деятельность рассматривается всеми субъектами учебно-воспитательного процесса как средство становления мировоззрения и духовного облика обучаемых, важнейшая, всеохватывающая сфера их индивидуального сознания и поведения, а целью изучения родного и русского языков становится совершенствование лингвистической, коммуникативной и дидактико-методической компетенции.
Методологическую основу диссертационного исследования составляет философская концепция развития личности в общении и деятельности, в частности коммуникативной учебной. Язык рассматривается как средство материализации мышления субъектов, способ идеализации и репрезентации ими реальной действительности с акцентированием внимания на личностном аспекте мышления и речи.
Методы исследования. Ведущими в работе являются описательный синхронно-аналитический метод и метод экспериментально-опытного обучения. В ходе исследования использованы:
- теоретический анализ философской, психолого-педагогической, лингводидактической и методической литературы по теме исследования с целью поиска концептуальных подходов к формированию языковой личности учителя начальных классов в педагогическом училище;
- целенаправленные наблюдения за учебным процессом;
* {{pop_ar_s3_1}}* [[pop_ar_s3_1]]
* {{pop_ar_s3_2}}* [[pop_ar_s3_2]]
* {{pop_ar_s3_3}}* [[pop_ar_s3_3]]
* {{pop_ar_s3_4}}* [[pop_ar_s3_4]]
* {{pop_ar_s3_5}}* [[pop_ar_s3_5]]
* {{pop_ar_s3_6}}* [[pop_ar_s3_6]]
- анализ учебно-методической документации - планов, программ, учебников и учебных пособий по родному и русскому языкам;
- анкетирований и беседы с преподавателями, учащимися и абитуриентами педагогических училищ;
- выявление уровня знаний, аналитико-синтетических и практических речевых умений учащихся;
- осмысление, описание и обобщение передового педагогического опыта преподавателей в аспекте исследуемой проблемы;
- экспериментально-опытное обучение на основе авторской методики.
__Научная новизна__ полученных результатов. В исследовании впервые применительно к дидактике дано определение понятия "языковая личность учителя начальных классов*, раскрыты его объем и структура; изучены общефилософские, этнокультурные, лингвистические и дидактические основы. Разработаны вербально-семантические, коммуникативно-прагматические, психолого-педагогические, когнитивные и методические пути и средства формирования языковой личности учителя начальных классов в педагогическом училище.
__Практическая значимость__ исследования состоит в том. что созданы методика и дидактико-педагогические средства, способствующие внедрению в массовую практику концептуальных подходов к формирования языковой личности учителя начальных классов в педагогическом училище.
Предложена дидактическая система работы по обогащению тезауруса учащихся педагогических училищ профессиональной лексикой, совершенствованию их учебных, языковых, аналитико-синтетических и практических речевых умений и навыков.
Подготовлены и опубликованы "Концепция развития среднего специального образования в Республике Беларусь (проект, авторские I-IV разделы); "Критерии и нормы оценки знаний, умений и навыков по русскому языку учащихся национальных (нерусских) групп педагогических училищ" (в соавт.); "Нормы оценки письменных работ по русскому, белорусскому языкам и литературе учащихся педагогических училищ"; программа факультативного курса "Школьное сценическое искусство" (в соавт.); "Метадычныя рэкамендацьн па абсталяванню кабинета беларускай мовы з методыкай выкладання I беларускай птаратуры у педагалчным вучылшчы" (в соавт.).
Социально-экономическая значимость проведенного исследования определяется тем. что разработанные автором концептуальные подходы, система и методика формирования высоконравственной языковой личности учителя начальных классов создают необходимые предпосылки для качественной подготовки специалистов в педагогическом училище, ''а'' следовательно, и для повышения эффективности учебно-воспитатепь-
* {{pop_ar_s4_1}}* [[pop_ar_s4_1]]
* {{pop_ar_s4_2}}* [[pop_ar_s4_2]]
* {{pop_ar_s4_3}}* [[pop_ar_s4_3]]
ного процесса в общеобразовательной школе как основы для роста и умножения интеллектуально-духовного и, как следствие, - материального богатства нации.
Основные положения диссертации, выносимые на защиту:
1. Формирование высоконравственной языковой личности учителя актуально и перспективно как с точки зрения совершенствования качества подготовки специалистов в педагогическом училище, так и в аспекте решения проблемы повышения эффективности учебно-воспитательного процесса в общеобразовательной школе.
2. Высоконравственная языковая личность учителя начальных классов сформируется только целенаправленными усилиями преподавателей всех учебных предметов при условии, что основные функции в этой работе осуществляются преподавателями филологического цикла.
3. Успешное формирование языковой личности учителя начальных классов в педагогическом училище невозможно без переосмысления лингводидактических основ преподавания родного и русского языков, соответствующей корректировки программ и учебников.
4. Концептуальные идеи " педагогической грамматики " основываются на реальной целесообразности и задачах подготовки молодых людей к профессиональной деятельности в начальной школе, а не только на их языковой компетенции. Ее сущность в том, что овладение языком как средством общения не равноценно овладению языковыми средствами. Цель преподавания языков в педагогическом училище определяется социальным заказом общества школе, их ролью и местом в учебно-воспитательном процессе, деятельности учителя.
5. Проверенные в ходе экспериментально-опытного обучения обновленные учебные программы, методические разработки и рекомендации, обеспечивающие формирование языковой личности учителя начальных классов при изучении основных предметов учебного плана.
Личный вклад соискателя. Исследование представляет результат многолетней работы диссертанта (1979-1994 гг.). Личный вклад состоит в:
а) анализе философской, психолого-педагогической и методической литературы;
б) разработке методики исследования, концептуальных подходов и дидактической системы формирования языковой личности учителя в педагогическом училище;
в) проведении прогнозирующего эксперимента;
г) проведении экспериментально-опытного обучения в Могилевском и Оршанском педучилищах;
д) изучении, обобщении, распространении и внедрении а массовую практику опыта работы преподавателей педучилищ по проблеме исследования;
е) разработке Концепции развития среднего специального образования в Республике Беларусь;
ж) подготовке и опубликовании научных статей по исследуемой проблеме.
Апробация результатов исследования. Основные положения исследования докладывались и обсуждались на методических секциях и семинарах преподавателей педагогических училищ (Минск, 1977, 1978; Полоцк, 1979; Могилев, 1985; Минск, 1987); заседаниях Научно-методической комиссии при Министерстве просвещения СССР (Москва, 1988); лаборатории довузовской и послевузовской подготовки НИИ педагогического образования АПН СССР (Минск, 1991, 1992); лаборатории трудового обучения и профориентации БелНИИ образования (Минск, 1992); международных научно-практических конференциях: "Образование XXI века. Проблемы повышения квалификации работников образования" (Минск, 1993); "Адукацыя \ нацыянальна-культурнае адраджэнне" (Минск, 1994); республиканской научно-практической конференции "Беларуская мова I л1таратура: праблемы навучання \ вывучэння у сярэдняй I вышэй-шай школе" (Минск, 1994).
Опубликованность результатов исследования. Идеи и положения исследования по разным аспектам формирования языковой личности учителя начальных классов в педагогическом училище отражены в публикациях (6 учебных программах, 7 методических рекомендациях, 3 статьях в научных журналах, 3 тезисах на республиканских и международных конференциях, Концепции развития среднего специального образования в Республике Беларусь).
Структура и объем диссертации. Диссертация общим объемом 111 страниц состоит из введения, общей характеристики работы, 3 глав, выводов, списка использованных источников (всего 262 наименования на русском, белорусском и немецком языках, занимающего 17 страниц), 3 приложений на 38 страницах, 4 таблиц на 2,5 страницах, 6 рисунков на 4 страницах.
''ОСНОВНОЕ СОДЕРЖАНИЕ ДИССЕРТАЦИИ''
Во введении и общей характеристике работы обосновываются выбор темы, ее актуальность, формулируется рабочая гипотеза, определяются объект, предмет, цель, задачи и методы исследования; изложены методологическая основа исследования, его научная новизна, теорети-
чесхая. практическая и социально-экономическая значимость, основные положения, выносимые на защиту.
В первой главе "Языковая личность учителя как социально-педагогическая проблема современной национальной школы" раскрывается роль слова в познании и профессиональной деятельности учителя. Подчеркивается, что педагог, кроме слова, не имеет других средств трансформировать мир и иных способов воздействия на учащихся. "Слово - это его работа, его царство" (B.C. Горский).
При подготовке учителя важно повысить внимание обучаемых к слову. к его носителю - "языковой, личности*, под которой понимается субъект, рассматриваемый с точки зрения его готовности производить речевые поступки, создавать и принимать произведения речи.
Язык, речь, слово в диалектическом единстве являются основными сущностными чертами как человеческого рода в целом, так и отдельной личности. Языковая личность учителя - это не только совокупность качеств. присущих человеку вообще, а и наличие у него тех способностей и характеристик, которые позволяют ему создавать и воспринимать речевые произведения (тексты), соответствующие профессиональной деятельности. языковым и этическим нормам, принятым в обществе.
8 реферируемой работе указывается, что психолого-педагогическая наука всегда проявляла большой интерес к личности учителя. Этому посвятили свои труды ученые-педагоги Ю.П. Азаров. Ш.А. Амонашвили, Ф.Н. Гоноболин. Л.В. Занков. З.И. Золотарь, И.А. Зязюн. Т.А. Ильина, 8.Н. Козиев. В .А. Крутецкий, Н.В. Кузьмина. Н.Д. Левитов, И.М. Ломоносов. A.C. Макаренко. Т. Маркарян, А.К. Маркова, З.Ф. Орехова. Г.С. Прозоров. Т.С. Полякова, И.П. Раченко, М.М. Рубинштейн. ВА Сластенин, В.П. Стрезихозин. В.А. Сухомлинский, Р.И. Хмелюк, Г.А. Федоришим. А.И. Щербаков; белорусские ученые К.В. Гавриловец A.A. Гримоть. H.H. Казимирская. А.И. Кочетов. Н.В. Кухарев, В.П. Пархоменко, A.А. Сизый. В.В. Чечет и др. Они стремились исследовать и проанализировать содержание многогранной функциональной деятельности учителя. наметить пути совершенствования его профессиональной подготовки на основе требований профессиографического характера.
Проблема изучения личности учителя нашла отражение в работах психологов Б.Г. Ананева. A.A. Бодалева. Л.С. Выготского, Ф.И. Иващенко, ЯЛ. Коломинского. А.Н. Леонтьева, К.К. Платонова, С.Л. Рубинштейна, А.Т. Ростунова. Т.М. Савельевой, Б.М. Теплова, И.А. Зимней, А.Н. Ковалева, Ю.Н. Кулюткина. Г.С. Сухобской и др.
Однако изучение личности педагога, как и личности вообще, осуществлялось в иной парадигме, на иной методологической основе. Интерес ученых не выходил за рамки принятых психологией и педагогикой
типологий личности. Изучалась не столько индивидуальность, сколько группа. Личность рассматривалась преимущественно как социобиоло-гический феномен. В тени оставались индивидуальные черты, то, что является приобретением самой личности - качества, скрытые в ее структуре и не проявляющиеся в официальной, повседневной профессиональной деятельности. В частности, недооценивалась направленность языкового сознания, то, что язык проявляет себя не только как способ познания мира и выражения мысли, но и как компонент этносознания.
Не учитывалось, что быстрые коренные изменения в способах мышления людей нередко создают угрозу существованию основ устоявшегося человеческого бытия. А между тем особенности индивидуального языкового сознания проявляются в суждениях отдельных субъектов об общественных явлениях, фактах науки и культуры. Следовательно, "языковая личность - вот та сквозная идея, которая пронизывает все аспекты изучения языка и одновременно разрушает границы между дисциплинами, изучающими человека, поскольку нельзя изучать человека вне его языка" (Ю.Н. Караулов).
Формирование языковой личности учителя начальных классов в педагогическом училище возможно при создании единой системы языкового образования, в центре которой будут целостность личности обучаемого и общие закономерности обучения. Организуя учебно-воспитательный процесс, необходимо руководствоваться тем, что высоконравственная языковая личность может быть сформирована в такой мере, в какой сам ритм учебного заведения несет на себе достижения культуры. Вне культуры этот процесс немыслим.
В главе раскрывается сущность социального заказа педагогическому училищу на формирование языковой личности учителя начальных классов. Подчеркивается, что для обеспечения качественной подготовки учителя предполагаются: на "входе" - выявление профессиональной направленности сознания абитуриентов; в процессе подготовки - "модель языковой личности" (образ будущего специалиста и педагогический инструментарий); на "выходе" - конкретный учитель с его языковой, лингвистической, коммуникативной и профессиональной компетенцией.
По мнению ученых (Ю.Н. Караулов, Г.И. Богин и др.), структуру языковой личности можно рассматривать в следующих измерениях:
- на вербально-семантическом уровне. Как лексикон личности, понимаемый в широком смысле;
- на лингво-когнитивном уровне. Как тезаурус, в котором запечатлен "образ мира", или система знаний о мире;
- на прагматическом (деятельностно-мотивационном) уровне. Как прагматикон, уровень деятельностно-коммуникативных потребностей.
Понятие "языковая личность учителя начальных классов" значительно глубже, шире, богаче того, что говорится о личности в философии, лингвистике и психологии. Оно включает в свою структуру способности, профессиональную направленность индивидуального сознания, нравственную и дидактико-методическую культуру. А это означает, что при под готовке учителя начальных классов целесообразно учитывать не только социологические, гражданственные и психологические характеристики, но и уровень языковой, лингвистической, коммуникативной и профессиональной компетенции. Она распространяется на языковые навыки и умения всех подсистем: владение фонетикой и методикой ее преподавания в начальной школе; лексикой и методикой ее преподавания; грамматикой и методикой ее преподавания; готовность адекватно воспринимать и создавать тексты, соответствующие коммуникативным профессиональным, в том числе дидактико-методическим целям и задачам.
Во второй главе "Исследование состояния преподавания родного и русского языков в педагогическом училище в аспекте поставленной проблемы" описывается методика констатирующего эксперимента, излагаются его результаты. Основной целью проведения собственно экспертного анализа стало определение уровня языковой, лингвистической, коммуникативной и дидактико-методической компетенции конкретной "говорящей" языковой личности будущего учителя, а именно:
- определение знаний и качества владения языком на всех его уровнях: фонетическом, лексическом, морфологическом, синтаксическом;
- установление индивидуальных, присущих личности, речевых особенностей - 'речевого* портрета будущего учителя; выявление социальных и индивидуальных психологических характеристик говорящего, находящих отражение в речи;
- описание системы ценностной ориентации, характера "фоновых знаний и умений" говорящего, в том числе дидактико-методических;
- изучение особенностей речевого поведения в конкретных условиях коммуникации, определение характера отношений между партнерами;
- анализ программ и учебников по белорусскому и русскому языкам для педагогических училищ.
Важнейшим способом извлечения информации стали наблюдения за учебно-воспитательным процессом, интервьюирование учащихся и преподавателей. Выяснялось, как учащиеся сами представляют место и значение коммуникативных умений, языковых и методических знаний в практической работе учителя начальных классов, какую роль они придают психолого - педагогическим дисциплинам и предметам филологического цикла в формировании названных умений.
Интервьюирование и наблюдения проводились в Борисовском, Волковыском, Горецком, Могилевском и Пинском педагогических училищах. В собеседованиях участвовало 400 учащихся выпускных курсов.
Собеседование и целенаправленные педагогические наблюдения позволили сделать вывод, что на формирование основных профессиональных языковых и коммуникативных умений учебный процесс по родному и русскому языкам в педагогических ' училищах недостаточно ориентирован. В практике преподавания встречаются серьезные упущения. Наиболее существенными являются: чрезмерное увлечение лингвистической теорией, грамматическими разборами; недостаточная ориентация методики преподавания на формирование умений работать со связными текстами. Сложилось мнение, что выпускники педагогических училищ готовятся в основном к преподаванию начального курса грамматики и правописания, а не к обучению детей языку и речи как деятельности.
Учебные программы также ориентируют в основном на статический подход к явлениям и фактам языка. Недооценка функционально-коммуникативного подхода сказалась на презентации в них учебного лингвистического материала. Хотя в программы введен раздел 'Культура речи и стилистика*, однако он замыкается в кругу лингвистических понятий и терминов, недостаточно ориентирован на совершенствование практической речевой деятельности, так необходимой для профессиональной работы учителя и дальнейшего непрерывного образования - пополнения знаний и воспитания речевой культуры.
Характеристика учебников включала теоретический анализ правил и языковедческих статей, текстового материала, заданий к упражнениям, особенностей работы по учебникам в массовой практике. На этом этапе исследования применялся контент-анализ, который позволил наиболее объективно судить об изучаемых объектах на основе исследования их как целостных образований и как структурных компонентов, составляющих эти образования.
Прежде всего характеризовались теоретические сведения, которые получают учащиеся из языковедческих статей. Выявлялось, на что ориентируют основные и сопутствующие задания к упражнениям. Определялось, какие дополнительные лингвистические сведения сообщает преподаватель, какие сопутствующие упражнения рекомендует. Выяснялось, насколько сосредоточивается внимание в процессе преподавания на нравственно-этических и профессиональных качествах личности учителя. как распределяется теоретический и дидактический материал учебников с учетом необходимости формирования языковой, лингвистической, коммуникативной, профессиональной, дидактико-методической компетенции.
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
Примеры методологически правильно названных диссертаций по юридическим наукам:
«Обоснование рекомендаций (''конечная цель'') по совершенствованию семейного права (''предмет'') с целью обеспечения правосудия (''объект'') в период следственных действий».
«Разработка методов (''конечная цель'') сбора и обработки данных экологического (''предмет'') состояния региона с целью обеспечения прав (''объект'') экономических предприятий».
«Совершенствование методов (''конечная цель'') прокурорского надзора (''предмет'') в целях обеспечения правосудия (''объект'') несовершеннолетних».
«Развитие законодательной базы (''конечная цель'') по возмещению морального (неимущественного) вреда (''предмет'') в целях обеспечения правосудия (''объект'') граждан».
Пивкин С.Д. Самореализация языковой личности переводчика в системе дополнительного профессионального образования
[ext[ссылка автореферат локально|file:///D:/BI/a_pivkin_sd.pdf]]
[ext[ссылка автореферат интернет|https://new-disser.ru/_avtoreferats/01005090847.pdf]]
[[АвторефератПивкинСд]]
[[psd_ar 1]]
---
```
* {{psd_ar_s3_1}}*[[psd_ar_s3_1]]
* {{psd_ar_s3_2}}*[[psd_ar_s3_2]]
* {{psd_ar_s3_3}}*[[psd_ar_s3_3]]
* {{psd_ar_s3_4}}*[[psd_ar_s3_4]]
* {{psd_ar_s3_5}}*[[psd_ar_s3_5]]
* {{psd_ar_s4_1}}*[[psd_ar_s4_1]]
* {{psd_ar_s4_3}}*[[psd_ar_s4_3]]
* {{psd_ar_s4_4_6}}*[[psd_ar_s4_4_6]]
* {{psd_ar_s5_1}}*[[psd_ar_s5_1]]
* {{psd_ar_s8_1}}*[[psd_ar_s8_1]]
* {{psd_ar_s8_2}}*[[psd_ar_s8_2]]
* {{psd_ar_s8_3}}*[[psd_ar_s8_3]]
* {{psd_ar_s8_4}}*[[psd_ar_s8_4]]
```
```
* {{psd_ar_s8_5_0}}*[[psd_ar_s8_5_0]]
* {{psd_ar_s8_5_1}}*[[psd_ar_s8_5_1]]
* {{psd_ar_s9_1_1}}*[[psd_ar_s9_1_1]]
* {{psd_ar_s9_1_2_0}}*[[psd_ar_s9_1_2_0]]
* {{psd_ar_s9_1_2_1}}*[[psd_ar_s9_1_2_1]]
* {{psd_ar_s9_1_2_2}}*[[psd_ar_s9_1_2_2]]
* {{psd_ar_s9_1_2_3}}*[[psd_ar_s9_1_2_3]]
* {{psd_ar_s9_1_2_4}}*[[psd_ar_s9_1_2_4]]
* {{psd_ar_s9_1_2_5}}*[[psd_ar_s9_1_2_5]]
* {{psd_ar_s9_1_2_6}}*[[psd_ar_s9_1_2_6]]
* {{psd_ar_s10_1_1_1}}*[[psd_ar_s10_1_1_1]]
* {{psd_ar_s10_1_2}}*[[psd_ar_s10_1_2]]
* {{psd_ar_s10_1_3}}*[[psd_ar_s10_1_3]]
* {{psd_ar_s13_2_2}}*[[psd_ar_s13_2_2]]
* {{psd_ar_s13_2_3}}*[[psd_ar_s13_2_3]]
* {{psd_ar_s13_2_4}}*[[psd_ar_s13_2_4]]
* {{psd_ar_s13_2_5}}*[[psd_ar_s13_2_5]]
* {{psd_ar_s13_2_6}}*[[psd_ar_s13_2_6]]
* { {psd_ar_s13_2}}*[[psd_ar_s13_2]]
* {{psd_ar_s14_1_1}}*[[psd_ar_s14_1_1]]
* {{psd_ar_s14_1_2}}*[[psd_ar_s14_1_2]]
* {{psd_ar_s14_1_3}}*[[psd_ar_s14_1_3]]
* {{psd_ar_s14_1_4}}*[[psd_ar_s14_1_4]]
* { {psd_ar_s14}}*[[psd_ar_s14]]
* {{psd_ar_s15_1}}*[[psd_ar_s15_1]]
* {{psd_ar_s24_1}}*[[psd_ar_s24_1]]
* {{psd_ar_s24_2}}*[[psd_ar_s24_2]]
* {{psd_ar_s24_3}}*[[psd_ar_s24_3]]
* {{psd_ar_s24_4}}*[[psd_ar_s24_4]]
* {{psd_ar_s24_5}}*[[psd_ar_s24_5]]
* {{psd_ar_s24_6}}*[[psd_ar_s24_6]]
* {{psd_ar_s24_7}}*[[psd_ar_s24_7]]
* {{psd_ar_s28_3}}*[[psd_ar_s28_3]]
* {{psd_ar_s28_4}}*[[psd_ar_s28_4]]
* {{psd_ar_s28_5}}*[[psd_ar_s28_5]]
* {{psd_ar_s29_2}}*[[psd_ar_s29_2]]
* {{psd_ar_s29_5}}*[[psd_ar_s29_5]]
* {{psd_ar_s29_7}}*[[psd_ar_s29_7]]
* {{psd_ar_s29_8}}*[[psd_ar_s29_8]]
* {{psd_ar_s33_1}}*[[psd_ar_s33_1]]
* {{psd_ar_s33_2}}*[[psd_ar_s33_2]]
```
```
Пивкин С.Д. Самореализация языковой личности переводчика в системе дополнительного профессионального образования
[ext[ссылка автореферат локально|file:///D:/BI/a_pivkin_sd.pdf]]
[ext[ссылка автореферат интернет|https://new-disser.ru/_avtoreferats/01005090847.pdf]]
[[psd_ar_ps]]
[[psd_ar]]
---
!!''Самореализация языковой личности переводчика в системе дополнительного профессионального образования''
''Цель исследования'': научное обоснование и экспериментальная апробация теоретико-методологических и дидактических основ самореализации языковой личности переводчика в системе дополнительного профессионального образования
''Предмет исследования'': самореализация языковой личности переводчика в системе дополнительного профессионального образования технического вуза.
''Объект исследования:'' процесс профессиональной подготовки переводчика в системе дополнительного образования.
---
<<<
*PrimYu * { {psd_ar_s4_4_6}} * { {psd_ar_s5_1}}
<<<
---
*[[На защиту|psd_ar_nzv]]
*[[Научная новизна|psd_ar_nn]]
*[[Материал для размышлений|psd_ar_mdr]]
---
*[[научная новизна |psd_ar 1 nn]]
*[[на защиту выносятся|psd_ar 1 nzv]]
*[[гипотеза |psd_ar 1 gipoteza]]
*[[задачи |psd_ar 1 zadachi]]
*[[теоретическая значимость|psd_ar 1 tzi]]
*[[практическая значимость|psd_ar 1 pzi]]
*[[материал для размышления|psd_ar_mdr]]
''Гипотеза исследования'': эффективность подготовки переводчика в системе дополнительного профессионального образования, направленной на самореализацию его языковой личности, существенно повысится, если:
• рассматривать самореализацию языковой личности в иноязычной речевой деятельности как процесс достижения ею высокого уровня в овладении иностранным языком и иноязычной культурой, открывающими ей путь к полноценному речевому общению в мультилингвальном социуме, выражения ее уникальной самости языковыми средствами через самопознание, самоопределение и самоуправление, а также ее самосовершенствование в гармонии с собой и поликультурной средой;
• осуществлять «осмысленное погружение» обучающихся в максимально приближенную к реальным условиям иноязычную речевую деятельность в профессиональной языковой среде, позволяющую им мотивированно и осознанно овладевать языковыми знаниями, умениями и навыками в условиях профессиональной и межкультурной коммуникации;
• придать учебно-профессиональной деятельности проблемно-поисковый и заданный характер, способствующий развитию умений коммуникативно-познавательной деятельности ЯЛ в сфере профессиональной коммуникации;
• учитывать в процессе самореализации языковой личности переводчика развитие ценностно-смысловой и духовно-нравственной сфер при его профессиональной подготовке;
• содействовать проникновению национальных культур через речь в «языковое сознание» обучающихся за счет специфической направленности содержания образования при овладении иноязычной речевой деятельностью в условиях межкультурной коммуникации;
• развивать креативные способности языковой личности за счет обучения ее творческим процедурам в процессе творческой самореализации обучающегося в учебно-профессиональной деятельности;
• производить отбор и структурирование учебного материала, его логико-содержательной основы с учетом личностно-деятельностного, коммуникативно-познавательного, ценностно-ориентированного и лингвокультурологического подходов к дополнительной профессиональной подготовке переводчика в условиях меж-культурной коммуникации.
стр. 5
psd_ar_s5_2
* {{psd_ar_s8_5_0}}
* {{psd_ar_s8_5_1}}
* {{psd_ar_s8_5_2}} {{psd_ar_s9_1_1}}
* {{psd_ar_s9_1_2_0}}
* {{psd_ar_s9_1_2_1}}
* {{psd_ar_s9_1_2_2}}
* {{psd_ar_s9_1_2_3}}
* {{psd_ar_s9_1_2_4}}
* {{psd_ar_s9_1_2_5}}
* {{psd_ar_s9_1_2_6}}
* {{psd_ar_s10_1_1_1}}
* {{psd_ar_s10_1_2}}
* {{psd_ar_s10_1_3}}
* {{psd_ar_s13_2_2}}
* {{psd_ar_s13_2_3}}
* {{psd_ar_s13_2_4}}
* {{psd_ar_s13_2_5}}
* {{psd_ar_s13_2_6}}{{psd_ar_s14_1_1}}
* {{psd_ar_s14_1_2}}
* {{psd_ar_s14_1_3}}
* {{psd_ar_s14_1_4}} {{psd_ar_s15_1}}
''Практическая значимость'' проведенного исследования определяется тем, что на его материалах диссертантом разработаны, апробированы и внедрены в образовательно-воспитательный процесс НХТИ (филиал) ФГБОУ ВПО «КНИТУ» рекомендации по совершенствованию учебного процесса, способствующие самореализации языковой личности в учебно-профессиональной деятельности в условиях межкультурной коммуникации. Апробированный комплекс учебно-методических пособий, включающий «Сборник рабочих программ по курсу «Переводчик в сфере профес-
стр. 11_2
сиональной коммуникации»», «Самореализация языковой личности в учебной деятельности», «Практикум по переводу для инженерных специальностей вузов», пред-назначен для использования как на практических занятиях, так и для самостоятельной работы. На базе исследования также подготовлен пакет дидактических материалов по профессионально направленному тестированию, листы самооценки и самоотчетов, позволяющие преподавателям осуществлять иноязычную подготовку в соответствии с перспективными требованиями к переводческой деятельности.
Пакет названных образовательных продуктов является содержательным наполнением процесса творческой самореализации будущих переводчиков в учебно-профессиональной деятельности, результаты которого представляются широкой педагогической общественности России через научные публикации, обмен накопленным опытом, научно-практические конференции и семинары и др.
Указанные дидактические материалы используются в преподавании иностранного языка на факультете дополнительного образования по специальности «Переводчик в сфере профессиональной коммуникации». Учебно-методические рекомендации по созданию условий для успешной самореализации языковой личности в иноязычной речевой деятельности могут найти применение в процессе подготовки специалистов по иностранному языку в языковых и неязыковых вузах, в разработке учебных программ для слушателей курсов повышения педагогических кадров, специализирующихся в обучении иностранным языкам, для выработки практических рекомендаций по повышению эффективности развития креативных способностей студентов и их творческой самореализации как субъектов учебно-профессиональной деятельности.
Предложенные творчески ориентированные методические решения и педагогические технологии продуктивны, воспроизводимы, могут быть адаптированы к конкретным условиям и участникам образовательно-воспитательного процесса, их эффективность подтверждена на практике.
Прогностический потенциал проведенного исследования позволяет на его основе продолжить опытно-экспериментальную работу в новых условиях с целью повышения эффективности профессиональной подготовки переводчика в системе дополнительного образования, совершенствования стратегий, методов и приемов творческой самореализации личности обучающихся как языковых, так и неязыковых вузов.
В ходе проводимого исследования наметились пути и направления перспективного развития идей самореализации и саморазвития языковой личности не только в учебно-профессиональной, но и последующей профессиональной и постпрофессиональной деятельности индивида, связанного с миром языка, текста и слова, что открывает перед ним широкие горизонты для созидания, творчества и самовыражения.
стр 12
''Теоретическая значимость'' заключается:
• в авторской интерпретации в педагогике понятия «самореализация языковой личности в иноязычной речевой деятельности» и других сопутствующих понятий, применяемых при теоретико-методологическом анализе проблемы самореализации языковой личности в учебно-воспитательном процессе;
• в разработке оригинальной концепции самореализации языковой личности в иноязычной речевой деятельности, в ее влиянии на учебно-профессиональную деятельность, во включении в нее ценностно-смысловой сферы, фундаментальной основы для прикладных исследований и разработок, в выявлении уровней, подходов, теоретико-методологических и дидактических основ самореализации языковой личности в условиях межкультурной и профессиональной коммуникации;
• в рассмотрении самореализации языковой личности сквозь призму ценностно-смысловой сферы, расширяющей теоретическое представление о ее (языковой личности) месте в смысловой модели мира, в которой происходят выбор профессионального пути и раскрытие смысла индивидуальной жизни в обстановке диалога культур, то есть межкультурной коммуникации, в раскрытии смысла как системообразующей основы при проектировании индивидуально-смысловой структуры развития языковой личности в иноязычной речевой деятельности;
• в формулировании ряда принципов (самореализации языковой личности в иноязычной речевой деятельности, многообразия языковых средств выражения, воз-
стр. 10
растающего общекультурного развития ЯЛ, опережающего развития языковых способностей ЯЛ, непрерывного духовно-нравственного развития языковой личности и творческого саморазвития ЯЛ в иноязычной речевой деятельности) отбора содержания обучения иностранному языку при профессиональной подготовке переводчика в системе дополнительного образования, способствующих развитию языковой личности в учебно-воспитательном процессе;
• в реализации разработанной концепции в педагогической системе дополни-тельной профессиональной подготовки переводчика в аспекте самореализации его языковой личности, обеспечивающей качественную профессиональную подготовку переводчика в вузе, в определении педагогической системы как совокупности взаимосвязанных и взаимообусловленных компонентов (целевого, содержательного, процессуально-технологического и результативного), объединенных для реализации единства целей: образования - самообразования, развития - саморазвития, воспитания - самовоспитания языковой личности в учебно-профессиональной деятельности;
• в выявлении научно обоснованных и экспериментально подтвержденных дидактических основ самореализации языковой личности переводчика в учебно-профессиональной деятельности (направленность содержания образования, самообразования и саморазвития на самореализацию языковой личности, применение специально подобранного комплекса стратегий, методов и форм организации учебной деятельности в условиях профессиональной и межкультурной коммуникации), способствующих творческому саморазвитию выпускников вуза в системе дополнительного профессионального образования и открывающих перспективу дальнейших теоретических и прикладных исследований в педагогике;
• в дальнейшем развитии модели самореализации языковой лич1гости в учебно-профессиональной деятельности в вузе, в которой представлен взгляд автора на профессиональную подготовку инженера-переводчика в системе дополнительного образования, способного к полноценному речевому общению в условиях профессиональной и межкультурной коммуникации, а также в дальнейшем совершенствовании эффективных стратегий и методов обучения, направленных на самообразование и саморазвитие ЯЛ в последующей профессиональной деятельности;
• в положениях и выводах, сделанных в процессе проведения исследования, которые могут стать частью теоретической базы совершенствования системы дополни-тельной профессиональной подготовки будущих переводчиков в новой образовательной ситуации, характеризующейся необходимостью выбора индивидуальных траекторий овладения иноязычной речевой деятельностью в различных профилях и областях знания.
стр 11_1
''Задачи исследования'':
• осуществить теоретический анализ философской, психолого-педагогической и специальной литературы по проблеме самореализации языковой личности в иноязычной речевой деятельности в процессе дополнительной профессиональной подготовки переводчика;
• изучить состояние и организацию иноязычной подготовки студентов в системе дополнительно образования с позиций самореализации языковой личности в учебно-профессиональной деятельности;
[[psd_ar_s5_3]]
• определить содержание понятия «самореализация языковой личности в иноязычной речевой деятельности»;
• разработать концепцию самореализации языковой личности в иноязычной речевой деятельности, рассмотреть процесс самореализации языковой личности в иноязычной речевой деятельности сквозь призму ценностно-смысловой сферы;
• выявить теоретико-методологические и дидактические основы реализации разработанной теоретической концепции в учебно-воспитательном процессе;
• спроектировать и внедрить в учебно-воспитательный процесс модель педагогической системы дополнительной профессиональной подготовки переводчика в аспекте самореализации его языковой личности;
• определить комплекс критериев эффективности самореализации языковой личности переводчика в системе дополнительного профессионального образования и экспериментально проверить их в процессе дополнительной профессиональной подготовки переводчика в техническом вузе.
[[psd_ar_s6_1 ]]
Концепция языковой личности тем и продуктивна, что она связывает в некое онтологическое единство все грани языковой личности, включая ее аутентичность в овладении родным языком, профессиональным подъязыком и черты, приобретенные в процессе изучения иностранного языка. *[[psd_ar_s3_4]]
{{psd_ar_s4_3}}*[[psd_ar_s4_3]]
* {{psd_ar_s24_1}}*[[psd_ar_s24_1]]
* {{psd_ar_s24_2}}*[[psd_ar_s24_2]]
* {{psd_ar_s24_3}}*[[psd_ar_s24_3]]
* {{psd_ar_s24_4}}*[[psd_ar_s24_4]]
* {{psd_ar_s24_5}}*[[psd_ar_s24_5]]
* {{psd_ar_s24_6}}*[[psd_ar_s24_6]]
* {{psd_ar_s24_7}}*[[psd_ar_s24_7]]
* {{psd_ar_s28_3}}*[[psd_ar_s28_3]]
* {{psd_ar_s28_4}}*[[psd_ar_s28_4]]
* {{psd_ar_s28_5}}*[[psd_ar_s28_5]]
* {{psd_ar_s29_2}}*[[psd_ar_s29_2]]
* {{psd_ar_s29_5}}*[[psd_ar_s29_5]]
* {{psd_ar_s29_7}}*[[psd_ar_s29_7]]
* {{psd_ar_s29_8}}*[[psd_ar_s29_8]]
* {{psd_ar_s33_1}}*[[psd_ar_s33_1]]
* {{psd_ar_s33_2}}*[[psd_ar_s33_2]]
Пивкин С.Д. Самореализация языковой личности переводчика в системе дополнительного профессионального образования
[ext[ссылка автореферат локально|file:///D:/BI/a_pivkin_sd.pdf]]
[ext[ссылка автореферат интернет|https://new-disser.ru/_avtoreferats/01005090847.pdf]]
[[psd_ar]]*[[psd_ar 1]]
---
* { {psd_ar_s3}}*[[psd_ar_s3]]
стр. 3
* {{psd_ar_s4}}*[[psd_ar_s4]]
стр. 4
* {{psd_ar_s5_1}}*[[psd_ar_s5_1]]
* {{psd_ar_s13_2_2}}*[[psd_ar_s13_2_2]]
* {{psd_ar_s13_2_3}}*[[psd_ar_s13_2_3]]
* {{psd_ar_s13_2_4}}*[[psd_ar_s13_2_4]]
* {{psd_ar_s13_2_5}}*[[psd_ar_s13_2_5]]
* {{psd_ar_s13_2_6}}*[[psd_ar_s13_2_6]]
* { {psd_ar_s13_2}}*[[psd_ar_s13_2]]
* {{psd_ar_s14_1_1}}*[[psd_ar_s14_1_1]]
* {{psd_ar_s14_1_2}}*[[psd_ar_s14_1_2]]
* {{psd_ar_s14_1_3}}*[[psd_ar_s14_1_3]]
* {{psd_ar_s14_1_4}}*[[psd_ar_s14_1_4]]
* { {psd_ar_s14}}*[[psd_ar_s14]]
* {{psd_ar_s15_1}}*[[psd_ar_s15_1]]
* {{psd_ar_s24_1}}*[[psd_ar_s24_1]]
* {{psd_ar_s24_2}}*[[psd_ar_s24_2]]
* {{psd_ar_s24_3}}*[[psd_ar_s24_3]]
* {{psd_ar_s24_4}}*[[psd_ar_s24_4]]
* {{psd_ar_s24_5}}*[[psd_ar_s24_5]]
* {{psd_ar_s24_6}}*[[psd_ar_s24_6]]
* {{psd_ar_s24_7}}*[[psd_ar_s24_7]]
* {{psd_ar_s28_3}}*[[psd_ar_s28_3]]
* {{psd_ar_s28_4}}*[[psd_ar_s28_4]]
* {{psd_ar_s28_5}}*[[psd_ar_s28_5]]
* {{psd_ar_s29_2}}*[[psd_ar_s29_2]]
* {{psd_ar_s29_5}}*[[psd_ar_s29_5]]
* {{psd_ar_s29_7}}*[[psd_ar_s29_7]]
* {{psd_ar_s29_8}}*[[psd_ar_s29_8]]
* {{psd_ar_s33_1}}*[[psd_ar_s33_1]]
* {{psd_ar_s33_2}}*[[psd_ar_s33_2]]
• в отборе и структурировании учебного материала, его логико-содержательной основы с учетом личностно-деятельностного, коммуникативно-познавательного, ценностно-ориентированного и лингвокультурологического подходов к профессиональной подготовке переводчика в условиях межкультурной коммуникации;
4) в проектировании и внедрении в учебно-воспитательный процесс педагогической системы дополнительной профессиональной подготовки переводчика в аспекте самореализации его языковой личности, включающей модель самореализации языковой личности, в которую входят лингвокультурологический, ценностно-смысловой и творчески развивающий компоненты, содержание, формы и методы реализации заложенных в одноименной концепции идей и принципов, важнейшим из которых является принцип самореализации ЯЛ в иноязычной речевой деятельности, а также принципы многообразия языковых средств выражения, возрастающего общекультурного развития языковой личности, опережающего развития языковых способностей ЯЛ, непрерывного духовно-нравственного развития языковой личности и принцип творческого саморазвития ЯЛ в иноязычной речевой деятельности, направленных на оптимизацию профессиональной подготовки переводчика в техническом вузе в условиях межкультурной коммуникации;
5) в разработке критериев самореализации ЯЛ в учебно-профессиональной деятельности (уровень овладения иноязычной речевой деятельностью, уровень поликультурного развития, уровень духовно-нравственного развития, уровень самореализации обучающихся в иноязычной речевой деятельности), позволяющих определить степень эффективности дополнительной профессиональной подготовки переводчика в техническом вузе в условиях межкультурной коммуникации.
* {{psd_ar_s13_2_2}}*[[psd_ar_s13_2_2]]
* {{psd_ar_s13_2_3}}*[[psd_ar_s13_2_3]]
* {{psd_ar_s13_2_4}}*[[psd_ar_s13_2_4]]
* {{psd_ar_s13_2_5}}*[[psd_ar_s13_2_5]]
* {{psd_ar_s13_2_6}}*[[psd_ar_s13_2_6]]
''На защиту выносятся: ''
• многомерное понятие самореализации языковой личности в иноязычной речевой деятельности, нацеленной на достижение высокого уровня овладения иностранным языком и иноязычной культурой, а также выражение ее уникальной самости языковыми средствами через самопознание, самоопределение, самоуправление и ее самосовершенствование в гармонии с собой и поликультурной средой, интеграция которых способствует ориентации личности на ее успешное творческое саморазвитие в учебно-профессиональной деятельности;
• концепция самореализации языковой личности в иноязычной речевой деятельности, в которой нашли отражение идеи: а) комплексного овладения иноязычной речевой деятельностью в профессиональной и межкультурной коммуникации, б) поликультурного и в) духовно-нравственного развития языковой личности, г) ее творческого саморазвития (самопознания, самоопределения, самоуправления и самосовершенствования), дающих ей возможность выразить свою уникальную «самость» языковыми средствами, а также самосовершенствоваться в гармонии с собой и поликультурной средой;
• рассмотрение самореализации языковой личности в иноязычной речевой деятельности сквозь призму ценностно-смысловой сферы, которая наполняет смыслом действия, поступки и жизненную стратегию сложившейся языковой личности и определяет ее место в смысловой модели мира, а также раскрытие смысла как системообразующей основы при проектировании индивидуально-смысловой структуры развития языковой личности в иноязычной речевой деятельности. В рамках этой модели происходят выбор профессионального пути и раскрытие смысла индивидуальной жизни в обстановке диалога культур, то есть межкультурной коммуникации, в которой осуществляется речевая деятельность индивида;
• теоретико-методологические подходы (аксиологический, акмеологический, культурологический, гуманистический, личносттю-ориентированный, проблемно-ситуативный, компетентностный, системный, междисциплинарный) и дидактические основы (направленность содержания образования, самообразования и саморазвития на самореализацию языковой личности, применение специально подобранного комплекса стратегий, методов и форм организации учебной деятельности в условиях профессиональной и межкультурной коммуникации) проектирования педагогической системы дополнительной профессиональной подготовки переводчика в вузе в аспекте самореализации его языковой личности, проявляющиеся: 1) в оригинальном рассмотрении самореализации языковой личности в иноязычной речевой деятельности; 2) в осуществлении «осмысленного погружения» обучающихся в максимально приближенную к реальным условиям иноязычную речевую деятельность в профес-
* {{psd_ar_s14_1_1}}*[[psd_ar_s14_1_1]]
* {{psd_ar_s14_1_2}}*[[psd_ar_s14_1_2]]
* {{psd_ar_s14_1_3}}*[[psd_ar_s14_1_3]]
* {{psd_ar_s14_1_4}}*[[psd_ar_s14_1_4]]
сиональной языковой среде; 3) в придании учебно-профессиональной деятельности проблемно-поискового и задачного характера; 4) в учете в процессе самореализации языковой личности переводчика развития ценностно-смысловой и духовно-нравственной сфер при его профессиональной подготовке; 5) в содействии проникновению национальных культур через речь в «языковое сознание» обучающихся в условиях межкультурной коммуникации; 6) в развитии креативных способностей языковой личности; 7) в структурировании учебного материала, его логико-содержательной основы с учетом личностно-деятельностного, коммуникативно-познавательного, ценностно-ориентированного и лингвокультурологического подходов к профессиональной подготовке переводчика в условиях межкультурной коммуникации;
• педагогическая система дополнительной профессиональной подготовки переводчика в аспекте самореализации его языковой личности в учебно-профессиональной деятельности, включающая в себя модель самореализации языковой личности, а также содержание, формы и методы реализации заложенных в нее идей, направленных на овладение иноязычной речевой деятельностью, поликультурное, духовно-нравственное развитие и творческое саморазвитие студентов вузов. Педагогическая система рассматривается как совокупность взаимосвязанных и взаимообусловленных компонентов (целевого, содержательного, процессуально-технологического и результативного), объединенных для реализации единства целей: образования - самообразования, развития - саморазвития, воспитания - самовоспитания языковой личности в учебно-воспитательном процессе; их глубокая интеграция и осуществление в единстве способствуют созданию условий для творческого саморазвития обучающегося в каждом акте учебно-профессиональной деятельности за счет осознания значимости таких процессов, как творческое самосознание, творческое самоопределение, творческое самоуправление, творческая самореализация, творческое самосовершенствование, а также сотворчество всех субъектов учебной деятельности;
• авторские подходы к отбору содержания обучения иностранным языкам в процессе дополнительной профессиональной подготовки переводчика в вузе, заключающиеся в учете принципов: самореализации языковой личности в иноязычной речевой деятельности, многообразия языковых средств выражения, возрастающего общекультурного развития ЯЛ, опережающего развития языковых способностей ЯЛ, непрерывного духовно-нравственного развития языковой личности и творческого саморазвития ЯЛ в иноязычной речевой деятельности;
•доказательство положения о том, что разработанная педагогическая система позволяет повысить уровень самореализации языковой личности в процессе дополнительной профессиональной подготовки переводчика в техническом вузе за счет соответствующей направленности содержания образования, применения комплекса стратегий, методов и форм организации учебно-воспитательного процесса, а также направленности саморазвития и самообразования студентов на эффективное овладение иноязычной речевой деятельностью в сфере профессиональной коммуникации,
поликультурное и духовно-нравственное развитие языковой личности и творчество в учении.
''в третьей главе «Проектирование педагогической системы дополнительной профессиональной подготовки переводчика в аспекте самореализации его языковой личности»'' рассматриваются лингводидактический подход к представлению языковой личности как основы проектирования педагогической системы, а так-же теоретико-методологические подходы к проектированию педагогической системы дополнительной профессиональной подготовки переводчика в аспекте самореализации его языковой личности в учебно-профессиональной деятельности, принципы, определяющие ее функционирование, дидактическая модель педагогической системы и методическое обеспечение функционирования проектируемой педагогической системы.
Прежде чем говорить о совершенствовании методов преподавания иностранных языков и иноязычной культуры в неязыковом и языковом вузах и способах их реализации за счет более углубленного изучения дисциплины в рамках дополнительной программы «Переводчик в сфере профессиональной коммуникации», необходимо наметить контуры стратегии лингвистической подготовки переводчика в самом общем виде.
Успешное овладение иностранным языком создает немало трудностей для студентов и преподавателей, особенно учитывая массовый характер подготовки в подавляющем большинстве случаев. В связи с этим разработка методических систем, способных обеспечить каждому обучающемуся успешное усвоение новых языков, продолжает оставаться в центре внимания специалистов.
@@color:red; Личность учащегося в широком смысле этого слова в процессе обучения родному и в особенности иностранным языкам долгое время оставалась на периферии исследовательских интересов. @@ В современных условиях личностное начало при овладении языками становится весьма значительным.
@@color:red;Один из наиболее многообещающих подходов к представлению языковой личности исходит из ее трехуровневой организации: вербально-семантического или структурно-системного, лингвокогнитивного или тезаурусного и мотивационното (Ю.Н. Караулов). @@
Трехуровневое описание ЯЛ учитывает нацеленность лингводидактики на оптимальное владение студентами языковым материалом и отражает основные подходы к обучению языкам. Трехуровневый взгляд на развитие языковой личности, по нашему мнению, необходимо расширить и дополнить уровнем самореализации с ценностно-смысловой составляющей, которая ориентирована на укрепление духовных основ саморазвивающейся личности, и поэтому глубоко влияет на ее коренные представления о поиске смысла жизни. В дальнейшем ценно-смысловая компонента будет нами изучаться через рассмотрение духовно-нравственного развития личности.
Самореализация языковой личности реальна и необходима как предмет исследования, ибо изучая ее, мы проникаем в глубинные процессы личности, стремящейся реализовать свой духовный потенциал через использование широких возможностей языковых знаний и опыта, через живое слово
Среди @@color:red; дидактических основ@@ самореализации ЯЛ в учебно-профессиональной деятельности нами выделяется трехвекторная направленность содержания обучения в курсе подготовки переводчика в сфере профессиональной коммуникации, а именно: лингвокультурологическая, ценностно-ориентированная и @@color:red; прагматическая (профессиональная специализация в зависимости от основной квалификации).@@
Последнее направление представляется весьма существенным, поскольку в со-временную эпоху возрастает роль экспертных знаний в жизнедеятельности общества и субъекта в нем. @@color:red; Сделать ставку на овладение иностранным языком дополнительно к основной специальности для дипломированного специалиста означает расширить возможности его личностного и профессионального роста. Сочетание языковой подготовки, например, с инженерной в техническом вузе является дополнительным преимуществом как в профессиональной деятельности, так и в плане раскрытия потенциала индивида как развивающейся личности. @@
Здесь уместно затронуть @@color:red; проблему обучения профессиональным подъязыкам @@ в техническом вузе, которая в последнее время обретает особенное звучание в свете усиливающихся контактов в профессиональном сообществе на международном уровне. Специфические интересы и ценности этого сообщества заставляют переосмысливать подходы к изучению ИЯ для нужд профессиональной деятельности. @@color:red; Учет особенностей профессионального технического подъязыка в русском и иностранных языках представляет собой несомненную сложность в процессе подготовки переводчика в сфере профессиональной коммуникации, которая преодолевается за счет постоянной практики и использования экспертных знаний преподавателя и обучающихся. @@
Для практического воплощения идей, заложенных в концепцию самореализации ЯЛ в иноязычной речевой деятельности в соответствующую ей педагогическую систему, мы использовали последние достижения методической пауки конца прошлого и начала нынешнего веков.
Иерархия ценностей языковой личности обрела новое измерение в формате проблемно-ситуативного обучения за счет @@color:red; целенаправленного воздействия на тезаурус @@ этой личности и формирования более сложной вариативной картины мира в различных аспектах ее проявления . @@color:red; и в особенности в профессиональной сфере @@
Стимулирование речевой деятельности делает возможным переживать и передавать новые ощущения, знания и опыт. Определенно полезным в этом смысле оказались: филологический и лингвистический виды чтения (в том числе критическое и метакогнитивное чтение), написание сочинений и публичное обсуждение возникающих проблем. @@color:red; К этому списку можно добавить изучающее и ознакомительное чтение технической литературы. @@
Принцип коммуникативности получил свое развитие в проводимых нами открытых дискуссиях, в которых обсуждались темы по широкому кругу вопросов. Такая форма проведения занятий помогает не только правильно оценивать себя и окружающих людей в сопоставительном плане, но и @@color:red; создает прекрасную основу для видения своего профессионального профиля и последующей жизненной перспективы. @@
* {{psd_ar_s3_1}}*[[psd_ar_s3_1]]
* {{psd_ar_s3_2}}*[[psd_ar_s3_2]]
* {{psd_ar_s3_3}}*[[psd_ar_s3_3]]
* {{psd_ar_s3_4}}*[[psd_ar_s3_4]]
* {{psd_ar_s3_5}}*[[psd_ar_s3_5]]
<center> ''ОБЩАЯ ХАРАКТЕРИСТИКА РАБОТЫ'' </center>
''Актуальность исследования.'' Профессиональная подготовка специалиста высокой квалификации в аспекте самореализации его языковой личности (ЯЛ) в иноязычной речевой деятельности (ИРД) в последние годы вызывает повышенный исследовательский интерес в научном сообществе в силу глобальности и многоаспектности проявления связей между различными народами и этносами в современном мире, а также в различных сторонах жизнедеятельности человека.
Дипломированный специалист со знанием иностранных языков оказывается востребованным современной экономикой, стремящейся выйти за национальные границы и охватить глобальные рынки и страны в различных частях мира. Неслучайно в последнее время наблюдается тенденция в вузах к овладению будущим выпускником в качестве дополнительной квалификации специальностью переводчика в сфере профессиональной коммуникации. При этом недооценивается другая сторона его деятельности, связанная с его развитием как языковой личности, которая происходит в условиях реального многоязычия. Овладение иностранным языком неизбежно ставит вопрос о том, насколько эта личность пропиталась духом и культурой изучаемого языка и каковы рамки такого воздействия. Этот вопрос обретает особенное звучание в инженерных вузах, где сильны позиции сторонников технократического мышления.
Самореализация языковой личности в учебно-профессиональной деятельности происходит на реальном индивидуально-психологическом опыте и затрагивает различные аспекты языкового образования, так как на этом этапе закладываются когнитивные основы профессиональной подготовки, а также формируется ценностная ориентация ЯЛ, какой, по нашему мнению, является переводчик, и усваиваются базовые знания, умения и навыки профессиональной и межкультурной коммуникации. В ходе этого процесса намечается индивидуальная траектория овладения иностранными языками, предполагающая соответствующую интеллектуальную, речемыслительную и творческую активность ЯЛ на протяжении всей профессиональной карьеры и жизненного цикла. @@color:red; Концепция языковой личности тем и продуктивна, что она связывает в некое онтологическое единство все грани языковой личности, включая ее аутентичность в овладении родным языком, профессиональным подъязыком и черты, приобретенные в процессе изучения иностранного языка. @@
Широкий диапазон охватываемой тематики и трудность ее исследования осложняются отсутствием фундаментальных трудов, посвященных самореализации в такой специфической сфере, как система дополнительной профессиональной подготовки переводчика, которая имеет много общих черт с организацией учебного процесса в языковых вузах и вместе с тем обладает своими специфическими особенностями. Следовательно, в настоящее время имеются все основания считать проблему самореализации языковой личности переводчика в системе дополнительного профессионального образования нерешенной и требующей специального исследования. Последнее обуславливает актуальность диссертационного исследования и побуждает нас обратиться к дополнительной профессиональной подготовке переводчика в вузе,
Самореализация ЯЛ в учебно-профессиональной деятельности в дидактическом плане обеспечивалась направленностью содержания образования на самореализацию обучающегося, а также применением ряда концептуальных стратегий и приемов, о которых речь шла выше. Эффективность их воздействия на профессиональную подготовку переводчика зависела от комплексного использования методов учебно-профессиональной деятельности: развития навыков и умений в иноязычной речевой деятельности, проблемно-ситуативных, коммуникативно-познавательных, игровых, проектно-исследовательских, творческо-эвристических. Сочетание и применение этих методов па практике дало положительные результаты.
Экспериментальное обучение также @@color:red; ''предполагало внедрение в учебный процесс пакета учебно-методических пособий '' @@ «Развитие языковой личности в курсе подготовки переводчика», «Практикум по переводу для инженерных специальностей вуза», «Сборник рабочих программ но курсу «Переводчик в сфере профессиональной коммуникации»», перечня фразовых глаголов по частотности их употребления, @@color:red; терминологических словарей @@ по специальности, оригинальных тестовых заданий по переводу, самоотчетов и анализа содержания языковых портфелей и творческих работ студентов.
* {{psd_ar_s4_1}}*[[psd_ar_s4_1]]
* {{psd_ar_s4_3}}*[[psd_ar_s4_3]]
* {{psd_ar_s4_4_6}}*[[psd_ar_s4_4_6]]
рассматривая ее в русле гуманизации профессионального образования в России. В зарубежной психологии проведено довольно значительное количество исследований по самореализации личности в общепсихологическом понимании этого явления и схожим проблемам - таким, как самостановление, самоактуализация, самоосуществление, самосовершенствование, саморазвитие (А. Адлер, А. Маслоу, Г. Олпорт, К Роджерс, Р. Уайт). В отечественной науке эта проблема твкже получила свое развитие, преимущественно сквозь призму рассмотрения процессов формирования образа «Я», развития зрелой личности, личностного роста и саморазвития (К. А. Абульханова-Славская, В.И. Андреев, В.П. Зинченко, В.А. Петровский). Сюда же примыкают такие важные аспекты раскрытия этой глобальной проблемы, как социально-психологическая адаптация, творческое развитие личности, стремление к самореализации как смыслообразующему мотиву, более полное использование способностей и одаренности. Вместе с тем недостаточно работ по исследованию процессов самореализации языковой личности в учебно-профессиональной деятельности с учетом ее интеллектуального потенциала, способностей и задатков, которые позволяют личности в наибольшей степени проявить себя в той или иной профессиональной сфере.
Стремление решить указанные противоречия @@color:red;определило научную проблему исследования, которая заключается в выявлении и обосновании теоретико-методологических и дидактических основ самореализации языковой личности @@ переводчика в системе дополнительного профессионального образования.
Научное рассмотрение данной проблемы обусловило выбор темы исследования: «Самореализация языковой личности переводчика в системе дополнительного профессионального образования».
''Цель исследования'': научное обоснование и экспериментальная апробация теоретико-методологических и дидактических основ самореализации языковой личности переводчика в системе дополнительного профессионального образования.
''Объект исследования'': процесс профессиональной подготовки переводчика в системе дополнительного образования.
''Предмет исследования'': самореализация языковой личности переводчика в системе дополнительного профессионального образования технического вуза.
дования в Нижнекамском химико-технологическом институте ФГБОУ ВПО «Казанский национальный исследовательский технологический университет» была сформирована экспериментальная группа по подготовке организаторов производств основного органического и нефтехимического синтеза (менеджеров) с углубленным изучением иностранного языка по заказу ОАО «Нижнекамскнефтехим». Преподавание курса иностранного языка строилось с использованием комплекса методов обучения в конкретной ситуации на основе межпредметных связей в сотрудничестве с кафедрой общей химии и с опорой на базовое производство.
Третий этап (1996-2002 уч. гг.) - систематизация и обработка результатов проб-ных экспериментов с целью их углубления и приведение рабочей гипотезы в соот-ветствие с ними. Подготовка четвертого этапа исследования на качественно иной ос-нове с учетом многолетнего накопленного опыта преподавания и первично апроби-рованной гипотезы. Разработка концепции самореализации языковой личности в иноязьиной речевой деятельности и проектирование соответствующей ей педагоги-ческой системы и ее теоретической модели. Определение, обоснование и апробация критериев эффективности разработанной педагогической системы. Обсуждение пер-вичных результатов экспериментального исследования и проверка исходных поло-жений. Написание монографии на основе проделанной экспериментальной работы.
Четвертый этап (2002-2011 уч. гг.) - проведение формирующего и контрольного экспериментов. На этом этапе была сформирована экспериментальная группа с целью подготовки студентов НХТИ по специальности «Переводчик в сфере профессиональной коммуникации» в рамках дополнительного образования. Преподавание курса иностранного языка по указанной специальности строилось с учетом самореализации языковой личности студентов в иноязычной речевой деятельности в процессе обучения, на производстве - в подразделениях ОАО «Нижнекамскнефтехим» и в иных учреждениях и на предприятиях г. Нижнекамска
На этом же этапе были выполнены: систематизация, обработка, оформление, обсуждение и обобщение результатов проведенного эксперимента, формулировка выводов, анализ достигнутых результатов и оформление диссертационного исследования.
''Научная новизна исследования'' заключается в следующем;
1) в обосновании на теоретико-методологическом уровне возможности и целесообразности самореализации языковой личности в иноязычной речевой деятельности в условиях профессиональной и межкультурной коммуникации, позволяющей ей достичь высокого уровня овладения иностранным языком и иноязычной культурой и открывающей ей путь к полноценному речевому общению в мультилингвальном социуме;
2) в разработке концепции самореализации языковой личности в иноязычной речевой деятельности, в которой нашли отражение идеи: а) комплексного овладения иноязычной речевой деятельностью в профессиональной и межкультурной коммуникации, б) поликультурного и в) духовно-нравственного развития языковой личности, г) ее творческого саморазвития (самопознания, самоопределения, самоуправления и самосовершенствования), дающих ей возможность выразить свою уникальную
«самость» языковыми средствами, а также самосовершенствоваться в гармонии с собой и поликультурной средой. Данная концепция рассматривается сквозь призму ценностно-смысловой сферы, которая наполняет смыслом действия, поступки и жизненную стратегию сложившейся языковой личности и определяет ее место в смысловой модели мира. В рамках этой структуры происходят выбор профессионального пути и раскрытие смысла индивидуальной жизни в обстановке диалога культур, то есть межкультурной коммуникации, в которой осуществляется речевая деятельность индивида. Этот смысл переживается ЯЛ внутренне и обретает для нее ценность в виде личностного смысла на уровне «языкового сознания»;
3) в обосновании теоретико-методологических подходов (аксиологический, акмеологический, культурологический, гуманистический, личпостно-ориептированный, проблемно-ситуативный, компетентностный, системный, междисциплинарный) и дидактических основ (направленность содержания образования, самообразования и саморазвития на самореализацию языковой личности, применение специально подобранного комплекса стратегий, методов и форм организации учебной деятельности в условиях профессиональной и межкультурной коммуникации) проектирования педагогической системы дополнительной профессиональной подготовки переводчика в аспекте самореализации его языковой личности, проявляющихся:
• в рассмотрении самореализации языковой личности в иноязычной речевой деятельности как процесса достижения ею высокого уровня в овладении иностранным языком и иноязычной культурой, открывающими ей путь к полноценному речевому общению в мультилингвальном социуме, выражения ее уникальной самости языковыми средствами через самопознание, самоопределение и самоуправление, а также ее самосовершенствование в гармонии с собой и поликультурной средой;
• в осуществлении «осмысленного погружения» обучающихся в максимально приближенную к реальным условиям иноязычную речевую деятельность в профессиональной языковой среде, позволяющую им мотивированно и осознанно овладевать языковыми знаниями, умениями и навыками в условиях профессиональной и межкультурной коммуникации;
• в придании учебно-профессиональной деятельности проблемно-поискового и заданного характера, способствующего развитию умений коммуникативно-познавательной деятельности ЯЛ в сфере профессиональной коммуникации;
• в учете в процессе самореализации языковой личности переводчика развития ценностно-смысловой и духовно-нравственной сфер при его профессиональной подготовке;
• в содействии проникновению национальных культур через речь в «языковое сознание» обучающихся за счет специфической направленности содержания образования при овладении иноязычной речевой деятельностью в условиях межкультурной коммуникации;
• в развитии креативных способностей языковой личности за счет обу1епия ее творческим процедурам в процессе творческой самореализации обучающегося в учебно-профессиональной деятельности;
''Введение ''
Профессиональная подготовка специалиста высокой квалификации в аспекте самореализации его языковой личности (ЯЛ) в иноязычной речевой деятельности (ИРД) в последние годы вызывает закономерный исследовательский интерес в научном сообществе в силу глобальности и разнообразия проявления связей между различными народами и этносами в современном мире, а также в различных областях деятельности человека.
Дипломированный специалист со знанием иностранных языков оказывается востребованным современной экономикой, стремящейся выйти за национальные границы и охватить глобальные рынки и страны в различных частях мира. Неслучайно в последнее время наблюдается тенденция в технических вузах к овладению будущим инженером в качестве дополнительной квалификации специальностью переводчика в сфере профессиональной коммуникации. При этом, однако, недооценивается другая сторона его деятельности, связанная с его развитием как языковой личности, которая происходит в условиях реального многоязычия. Овладение иностранным языком неизбежно ставит вопрос о том, насколько эта личность прониклась духом и культурой изучаемого языка и каковы рамки такого воздействия.
Рациональное использование человеческого потенциала в пост индустриальную эпоху предъявляет особые требования как современному обществу, так и отдельным его членам, их развитию и саморазвитию в изменившихся условиях стремительного прорыва информационных технологий в нашу жизнь. С появлением новых средств связи, хранения и обработки информации о культурно-историческом наследии мира развитие человеческой личности претерпевает определенные изменения в различных аспектах ее рассмотрения и, прежде всего, в плане ее саморазвития и самореализации в профессиональной коммуникации, когда расширение контактов и взаимодействия между народами и отдельными людьми вторгается в индивидуальный мир человека и оказывает на него значительное.
влияние. Самореализация личности в таких условиях становится предметом заинтересованного дискурса в академической среде.
Развитие творческой личности, хотя и представляет во многом непостижимый характер, никак не отрицает ее управления со стороны самой личности, которое делает этот процесс более эффективным и действенным. @@color:red; ''Самоуправление'' личности предполагает ''саморегулирование'', самоорганизацию и самоконтроль. @@ Как известно, наш организм представляет собой сложную динамическую систему, подобно любой другой в природе, подчиняющуюся неизбежным и единым для всей природы законам; но систему, в горизонте нашего современного научного видения, единственную по высочайшему @@color:red;саморегулированию @@ [319]. П.К. Анохин предлагает рассматривать этот вопрос через действие функциональных систем, узловыми механизмами которых выступают афферентный синтез, принятие решения и акцептор действия. В процессе афферентного синтеза определяется цель, что является центральным моментом в развитии поведенческого акта, то есть по сути речь идет о неком механизме управления [18]. @@color:red; Психическое самоуправление, в свою очередь, рассматривается как сознательное воздействие человека на присущие ему психические явления (процессы, состояния, свойства), выполняемую им деятельность и собственное поведение с целью поддержания или изменения характера их протекания @@ [311]. Процессы психического самоуправления носят сознательный и целенаправленный характер. Управлять собой, своим поведением означает уметь самостоятельно формировать мотивы собственного поведения, ставить перед собой конкретные цели и добиваться их исполнения.
Как свидетельствует [[Г.С. Никифоров]], самоуправление и саморегулирование в самом общем виде соподчинены одно другому и соотносятся между собой как целое и часть: управление включает в себя регулирование. @@color:red; «Особенностью самоуправления является конкретизация@@
@@color:red; мотивов поведения и деятельности, постановка соответствующих целей, выбор путей (программ) их достижения. Упрощенно говоря, самоуправление для субъекта - это решение вопросов о том, что и как делать. ''Спецификой саморегулирования является исполнение того, что было намечено.'' Переход от самоуправления к саморегулированию - это переход от замысла, идеи к воплощению в жизнь» @@ [311:18]. В состав самоуправления часто включают такие компоненты, как цель деятельности; сбор и анализ внешних данных об условиях, в которых деятельность будет осуществляться; принятие решения о конкретных действиях, направленных на достижение поставленной цели; выбор соответствующей программы действий и реализация намеченной программы. Выделенные компоненты самоуправления представляются весьма полезным инструментарием для построения эффективных психолого-педагогическим систем управления деятельностью в различных сферах, в том числе и в системе непрерывного образования.
Саморегулирование как неотъемлемая часть самоуправления при всей независимости протекания этого процесса не может выйти из-под контроля со стороны самоуправления. Как подчеркивает уже упоминавшийся нами автор, если @@color:red; саморегулирование связано в основном с решением задач ближайшего будущего@@ , то @@color:red;самоуправление @@ может быть @@color:red; обращено на более долгосрочную перспективу @@ : выбор жизненного пути, постановку задач самоусовершенствования, конкретизацию целей самовоспитания и др. [311].
*[ext[Оболочка IDLE|D:\Portable Python-3.8.2 x64\IDLE-Launcher.exe]]
---
*[[Дистрибутивы и среды Python]]
*[[Книги|КнигиPython]]
*[[Среды|СредыPyton]]
*[[Видео Уроки|Видео УрокиPyton]]
*[[Термины языка Питоне]]
*[[Текстовые редакторы на Питоне]]
---
*[[Практические разработки]]
Понятие прецедентного текста было введено в научный обиход Ю.Н.Карауловым. Под прецедентными понимаются когнитивно и эмоционально значимые тексты, хорошо известные широкому кругу лиц, «обращение к которым возобновляется в дискурсе данной языковой личности» [Караулов, 1986: 105]. Прецедентный текст интерпретируется как последовательность знаковых единиц, обладающих цельностью, связностью и ценностной релевантностью для данной культурной общности. Прецедентный текст, варьируемый от пословицы или афоризма до эпоса, наряду с вербальным может включать визуальный компонент (плакат, комикс, фильм, видеоряд).«Частые отсылки к тексту в процессе построения новых текстов в виде реминисценций есть показатели ценностного отношения к данному тексту и, следовательно, егопрецедентности» [Слышкин, 2000: 28–29]. .........
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
Автореферат [[Седых|Седых Д.В.]]
[ext[ссылка автореферат интернет |https://vak.minobrnauki.gov.ru/az/server/php/filer_new.php?table=att_case&fld=autoref&key[]=100039011&version=100]]
---
{{sdv_ar_s1}}*[[sdv_ar_s1]]
---
ОБЩАЯ ХАРАКТЕРИСТИКА РАБОТЫ
''Актуальность исследования.'' Изменяющиеся социально-экономические, политические и культурные тенденции современного общества определяют и, соответственно, корректируют изменения в процессах современного образова-ния. Актуализируются вопросы образовательного пространства, связанные с тенденцией интернационализации образования. На этом фоне новое звучание приобретают проблемы интеграционного взаимодействия в образовательном процессе контекстов культурологии, социологии, психологии, педагогики, по-скольку важным становится взаимодействие субъектов учебного процесса в мультикультурной образовательной среде вуза. Безусловно, как отечественные, так и зарубежные исследователи активно изучают современные проблемы образования, связанные со спецификой культурологических и психолого-педагогических особенностей процесса обучения. Актуальность данного исследования мы определяем необходимостью дальней-шего научного обоснования педагогического обеспечения образовательного процесса с учетом поликультурных реалий современного вуза. Важным пред-ставляется также разработка конкретных предложений по реализации содержа-тельного наполнения учебного процесса обучения студентов в современной образовательной среде.Под педагогическим обеспечением понимается многоуровневый процесс, выраженный в активизации и развитии совокупности его компонентов, вклю-чающих в себя целеполагание, содержание образования, личностные ресурсы субъектов образовательного процесса, взаимодействие преподавателей и сту-дентов как субъектов образовательного процесса, разработку способов и технологий, направленных на достижение поставленной цели. В целом это процесс перехода возможностей в реальность через разработку педагогических средств и способов, необходимых для положительной результативности того или иного процесса. При постановке цели и задач данного исследования, определении поиска их решения важным было изучить труды, связанные с определением понятий «образовательная среда» и «образовательный процесс» с позиций психолого-педагогических особенностей этого процесса. При конкретизации базового для нашего исследования понятия полилингвальной образовательной среды важным было изучение работ ученых, рассматривающих образовательную среду как социокультурную подсистему. Это труды Г. Ю. Беляева, В. В. Давыдова, Н. В. Костюк, М. Б. Крыловой, В. С. Кукшина, В. И. Панова, В. И. Слободчико-ва, С. В. Тарасова, И. Г. Шендрика, В. А. Ясвина и других. При изучении сущности понятия категории «педагогическое обеспече-ние» важно было оперетьсяна работы, которые сыграли существенную роль в разработке проблематики педагогического обеспечения: исследования В. В. Игнатовой, Б. Ф. Ломова, В. В. Серикова, В. И. Слободчикова, А. И. Тимонина и других.Для выявления особенностей обучения студентов в полилингвальной об-разовательной среде и обоснования комплекса педагогических условий основой
sdv_ar
<center> Седых Дина Викторовна</center>
<center>
ПЕДАГОГИЧЕСКОЕ ОБЕСПЕЧЕНИЕ ПРОЦЕССА ОБУЧЕНИЯ СТУДЕНТОВ ВУЗА В ПОЛИЛИНГВАЛЬНОЙ ОБРАЗОВАТЕЛЬНОЙ СРЕДЕ </center>
<center> Специальность 13.00.08. – </center>
<center> теория и методика профессионального образования </center>
<center>АВТОРЕФЕРАТ </center>
<center>диссертации на соискание ученой степени </center>
<center>кандидата педагогических наук </center>
<center>Кемерово 2019</center>
Сложности в решении задач этого ряда связаны с тем, что на первое место выступает собственно языковая личность. Одновременное и попеременное использование языковой личностью двух лингвокультурных кодов обязательно влечет за собой процессы диффузии, интерференции, трансформации, синергии на уровне языка и культуры. В этой ситуации представляется неоспоримым то, что одним из значимых инструментов обучения становится иностранный язык [113; 118; 119; 125; 133; 136; 137].
Вернемся к нашему основному понятию «полилингвальная образовательная среда». Оно принято нами в исследовании близко к рассмотрению понятия «поликультурная образовательная среда». Тем не менее, выбор трактовки образовательной среды как полилингвальной обоснован логическим процессом профессионального развития языковой личности обучающегося.
Полилингвальная образовательная среда вуза –это окружение, характеризующееся непосредственным этнокультурным контактом субъектов образовательного процесса и совокупностью потенциальных возможностей как профессионально-личностного развития обучающихся, так и сохранения их этнической идентичности. Понятие «полилингвальная образовательная среда» принимается нами в исследовании близко к рассмотрению понятия «поликультурная образовательная среда». Тем не менее выбор трактовки образовательной среды как полилингвальной обоснован логическим процессом профессионального развития языковой личностио бучающегосяв рамках предложенной лингводидактической технологии
СОВРЕМЕННАЯ ГУМАНИТАРНАЯ АКАДЕМИЯ = К 521.003.01 У Д К 161.111 На правах рукописи
ШАШЛОВА ГАЛИНА СЕРГЕЕВНА
ТЕОРЕТИКО-ПОЗНАВАТЕЛЬНЫЕ И МЕТОДОЛОГИЧЕСКИЕ АСПЕКТЫ ПРОБЛЕМЫ ВТОРИЧНОЙ ЯЗЫКОВОЙ ЛИЧНОСТИ
Специальность 09.00.01 - «Онтология и теория познания» Автореферат диссертация
на соискание учёной степени кандидата философских наук
2006
Диссертация выполнена на кафедре философии Современной гуманитарной академии
Научный руководитель: Официальные оппоненты:
Ведущая организация:
доктор философских наук, профессор, заслуженный деятель науки Р Ф Шингаров Георгий Христович
доктор философских наук, профессор Никифоров Александр Леонидович
кандидат филологических наук Татаровская Ирина Геннадьевна
Кафедра философии Р А Н
Защита диссертации состоится 29 марта 2006 года в _Л£/ часов на заседании диссертационного совета К.521.003.01 при Современной гуманитарной академии по адресу: 113114, Москва, ул. Кожевническая, д.З, зал заседаний.
С диссертацией можно ознакомиться в библиотеке Современной гуманитарной академии.
Автореферат разослан 2006 года
Ученый секретарь Диссертационного со кандидат философе!
В.Г. Голобоков
---
стр. 3
3
Общая характеристика работы
Актуальность темы связана с тем, что социально-экономическая и
политическая ситуации в обществе формируют социальный заказ по
отношению к подготовке его граждан по иностранному языку. Растущее
среди специалистов понимание необходимости практически использовать
иностранный язык в своей работе, с одной стороны, и низкие результаты
изучения языка у многих студентов, с другой стороны, указывают на то, что
при существующей потребности в изучении языков отсутствует возможность
для реализации данной потребности. Это явление приобрело достаточно
массовый характер. Остроактуальной становится проблема изучения путей
оптимизации процесса формирования вторичной языковой личности.
Язьпсовая личность, как системообразующий фактор познания,
выдвигается в качестве стратегического ориентира образовательной
политики и открывает новые возможности при изучении иностранного языка,
то есть формирования вторичной языковой личности. Язык мы понимаем как
надындивидуальную, объективно существующую для отдельных этносов
знаковую систему, служащую средством структурирования и фиксации
знаний об окружающем и внутреннем мире человека в виде лексических
единиц и грамматических правил и правил коммуникативного поведения в
определённом этнокультурном и социальном контексте.
Языковая личность формируется в процессе практического освоения и
использования средств языка для создания собственной картины мира и
общения с другими носителями данного языка. При освоении родного
(первого языка) формируется первичная языковая личность, при освоении
второго (иностранного языка) формируется вторичная языковая личность.
Нас интересуют особенности построения картины мира языковой личностью
при освоении и использовании второго языка.
Понятие вторичной языковой личности мы определяем как
совокупность способностей человека строить языковую картину мира, то
---
стр 4
есть его способность овнешнять систему образов новой для него действительности, используя вербально-семантический код иностранного языка в процессе речевой деятельности с инофоном.
Процесс становления вторичной языковой личности связан не только с овладением ею вербальньпл кодом иностранного языка и умением практически его использовать, но и с формированием на определенном уровне в ее сознании собственной языковой картины мира, которая позволяет ей осуществлять общение с представителями иной культуры.
Объектом данного исследования выступает вторичная языковая личность, призванная понять иную действительность на основе овладения и использования соответствующего иностранного языка.
Предметом исследования являются отношения в системе «личность языковая личность - вторичная языковая личность». Вторичная языковая личность, являясь элементом системы, сама обладает системным качеством, когда раскрывается в единстве этих элементов: субъект, объект и средства. При этом исследование системы главным образом сориентировано на элемент системы - вторичную языковую личность.
Цель исследования состоит в том, чтобы исследовать содержание понятия вторичная языковая личность и его связь с другими элементами системы личность - языковая личность - вторичная языковая личность.
Задачи исследования. Для достижения стоящей перед нами цели предполагается решить следующие исследовательские задачи: 1. Проанализировать современное представление о сущности личности, многоуровневости и многоаспектности языковой личности и специально вторичной языковой личности. 2. Рассмотреть проблему «язык и мышление», отношения «язык и реальность» в процессе овладения и использования иностранного языка.
---
5 3. Проанализировать соотношение вариантных и инвариантных составляющих в структуре языковой личности. 4. Исследовать и выявить сущностные черты вторичной языковой личности, условия и механизмы становления и формирования языковотх» сознания, составляющими которого являются смысл и значение. 5. Исследовать особенности формирования тезауруса вторичной языковой личности (тезаурус II), особенности построения языковой картины мира как совокупности обработанных языком когнитивных структур и отдельных элементов опыта человека (концептов). 6. Исследовать факторы, влияющие на формирование вторичной языковой личности: наднациональная составляющая картины мира, идентичные понятия носителей первого и второго языка, надежно установленные языковые универсалии. 7. Проанализировать динамику развития мысли и слова, соотношение единиц внутренней (предметно-фактической, семантической информации) и внешней (языковой, зафиксированной в языковой структуре) информации. Степень разработанности проблемы. Проблема изучения отношений личности и языка, языка и мышления имеет тысячелетнюю историю. Начало исследования происхождения и природы языка и его отношения к личности было положено ещё в древне греческой философии (Парменид, софисты, Платон, Аристотель и др.) и велось по исследовательской оси реальный мир-язык-человек. Проблема языковой картины мира решается Б. Уорфом, Э. Сэпиром, Л. Витгенштейном, А. А. Леонтьевым и др. исследователями. В X V I I I в. проблемами языка занимались Д. Дидро и А. Вольтер, М. В. Ломоносов, М. Мюллер, Р. Холл и др. «Биологическая концепция языка» рассматривает вопрос об активной деятельностной природе языка, его связи с духовной деятельностью индивида и духом народа (В. фон Гумбольдт, Ф. де Соссюр). Теория потока сознания постулирует диалектику движения,
---
6 неразрывность, слияние непрерывности и прерывности в языке, смысловой сдвиг в языке (У. Джемс, А. У. Бергсон, А. Ф. Лосев и др.).
Антропологический принцип в исследованиях этой проблемы в философии развивали Н. Г. Чернышевский, В. Дильтей, Э. Гуссерль. Метод «понимания» как метод интерпроекции, постижения, истолкования некоторой духовной ценности, как интуитивное проникновение в жизнь, разработал В. Дильтей, развивали его М. Хайдеггер, Х-Г. Гадамер. П.Флоренский развивает идею о познаваемости только личности и только личностью.
Много внимания исследователи уделяют проблеме языка и личности, языка и мышления. Идею внутренней формы языка, подчеркивая значение индивидуальной психики, развивают В. Гумбольдт, М. Хайдеггер, Г. Штейнталь. Культурно-историческая теории Л. С. Выготского гласит, что всякая человеческая форма психики первоначально складывается как внешняя, социальная форма общения, а затем, в результате интериоризации, становится психическим процессом отдельного индивида. В трудах В. Гумбольдта, Г. Штейнталя, К. Бюлера, И. А. Бодуэна де Куртене, А. А. Потебни, А. К. Пешковского, А. А. Шахматова, Ф. де Соссюра, Н. С. Трубецкого, А. Гардинера, Г. де Лагуны, Л. В. Щербы, В.А. Звегинцева рассматриваются вопросы активной деятельностной природы языка, его связи с духовной деятельностью индивида и духом народа. Уже стало традиционным понимание языка как связующего звена между социумом и отдельной личностью и межличностного общения.
Социологическое направление в языкознании
разрабатывали
Фердинанд де Соссюр, Л. В. Щерба, Антуан Нейе, Жозеф Вандриес, Э.
Бенвенист. Фердинанду де Соссюру, разработавшему символическую модель
языка, принадлежит учение о языке как системе внутренне замкнутых
отношений (замкнутый круг). Подход к языку как ergon (дело) получил
---
7 законченное развитие в структурализме. Подход к языку как energeia (действие, деятельность) нашел развитие в генеративной лингвистике (Н. Хомский).
Вопрос языковой способности человека серьезно анализировали Г. В. Лейбниц, Т. Гоббс. Дж. Локк, М. Хайдеггер и др. Шеллинг рассматривал языковое сознание как конечное бессознательного, бесконечность духа (культуры, национального характера), Гегель - как переход мысли из неопределенности в определенность. Для многих авторов языковая способность и её творческий характер обусловливаются тесной связью языка с мышлением (Э. Лееннеберг, 3. Харрис, Н. Хомский, А. Н. Леонтьев, И. Н. Горелов, А. Картер, Б. М. Гаспаров, А. М. Шахнарович, Н. И. Жинкин).
Согласно бихевиористски ориентированной лингвистике язык приобретается посредством постоянного повторения и тренировки, представляя собой запас «готовых» фраз.
Учение о «языковой личности» разрабатывают такие известные авторы как В. Гумбольдт, Г. Штейнталь, В. Вундт, И. А. Бодуэн де Куртене, В. В. Виноградов, Г. И. Богин, Ю.Н. Караулов и др.
Проблема изучения языкового сознания является одним из приоритетных направлений психолингвистических исследований, опирающихся на концептуальную схему А. Н. Леонтьева, согласно которой чувственная ткань образа, смысл и значение - это те составляющие сознания, которые описывают восприятие объекта реальной действительности.
Важной с точки зрения теории языковой личности является проблема значения слова, связующего звена между языком и речью, единицей абстрактной системы - картины мира, на основе которой реконструируется языковая система мира. В современной философской и лингвистической литературе по этому вопросу существуют различные подходы. Концептуалистская теория, например, считает «значение» сугубо внутренним явлением человеческого сознания (Э. Кассирер, Марбурская
---
8 школа неокантианства). Для реалистической теории «значение» выступает как реальная сущность, независимая от действительного человеческого мышления (платоновский и гегелевский идеализм, логизм Гуссерля, английский «неореализм» (Б. Рассел), американский «критический реализм» (Дж. Сантаяна, Рой Вуд Селларс, Дж. Пратт). Представители бихевиористских теорий видят «значение» знака в поведении и реакциях организма при использовании знака (Уотсон, Моррис) или в практическом эффекте действия (Ч. Пирс, У. Джеймс). Концепция значения как употребления разработал Л. Витгенштейн.
Л.С. Выготский предложил идею «смыслового поля» личности, в дальнейшем А.Н.Леонтьевым выраженную в положении о смысловой природе образа мира. П.А. Флоренский говорил о внешней форме языкового знака (значении), выражающей инвариантный образ мира, абстрактную модель, где в значениях выражено видение мира различными людьми, и внутренней форме слова (смысле), которая должна быть индивидуальна.
Вопросы, связанные с вторичной языковой личностью, разрабатывают такие авторы как Э. Кассирер, И.Л. Бим, И. И. Халеева и др.
Теоретико-методическая основа исследования. Задачи, поставленные для решения в данной диссертации могут быть решены только на основе комплекса научно-исследовательских методов, из которых использовались прежде всего: историко-эволюционный, деятельностный, системный, комплексный, когнитивный подходы. Используемые нами методы дают возможность представить в нашем конкретном случае новую парадигму языковой личности во всем многообразии ее уровней, динамики и переплетений. За основу в нашем исследовании мы используем историкоэволюционный подход. При всем разнообразии подходов к пониманию личности становится все более очевидным, что именно многомерность выступает как сущностная характеристика личности. Человек, будучи «мерой
---
9 всех вещей», сам не имеет меры, т.к. в принципе не сводим к какому-либо одному из измерений, проявляющихся в эволюции природы, истории общества и развитии его индивидуальной жизни.
Выделение многомерности как исходной характеристики понимания личности в неклассическом историко-эволюционном подходе позволяет охарактеризовать историю развития представлений о личности как историю открытий различных измерений личности в действительности.
В качестве конкретно-научной методологии изучения личности мы принимаем деятельностный подход, согласно которому деятельность представляет собой динамическую, саморазвивающуюся иерархическую систему взаимодействий субъекта с миром, в процессе которых происходит порождение, преобразование и воплощение опосредствованных отношении субъекта в предметной действительности. Системная детерминация развития личности позволяет провести систематизациию фактов, проблем и отраслей изучения личности в контексте историко-эволющ10нного подхода.
Сравнительно-типологический метод позволяет выявить общее и специфическое, сходства и различия в процессе освоения иностранного языка, когда в языках обнаруживаются типологические схождения и расхождения, которые отражаются в языковом сознании. В основе метода лежат принципы: от известного к неизвестному, от простого к сложному. Это наиболее эффективный метод, он дает лингвистические основы для выявления схождений и расхождений в родном и втором языке при обосновании приемов быстрого, активного восприятия признаков, особенностей, категорий и понятий, специфичных для второго языка.
Такой подбор методов отвечал сущности, целям и задачам исследования.
Научная новизна полученных результатов заключается в выявлении одного из направлений исследования сущностных характеристик вторичной языковой личности:
---
10
1. Определены концептуально-теоретические подходы к рассмотрению
сущностных
характеристик
феномена
«языковая личность».
Сформулировано определение понятия: языковая личность - субъект,
всматривающийся в суть отношений реальной действительности,
отражающий и выражающий эти отношения языковыми средствами.
Языковая личность сочетает язык как знаковую систему, языковое сознание и
текст.
2. Выявлен дифференцирующий признак языковой личности - ее
языковое сознание. Дано определение понятия «языковое сознание»: как
отношение субъекта к среде, выраженное в языке, мировидение субъекта, его
представление о мире и представление о языке.
3. Раскрыт механизм введения структуры языка в структурирование
языковой личности. Уровни взаимодействия элементов языка друг с другом
отражают этапы познания языка и этапы формирования языковой личности.
Определена структура языковой личности как внутренняя организация
языковой способности личности на основе взаимодействия трех
информативных уровней: вербально-грамматического (описание знака),
семантического (отношение знака к обозначаемому) и прагматического
(отношение знака к ситуациям).
4. Выявлены этапы формирования языковой картины мира и их связь
со структурой языковой личности. Картины мира - это все концептуальное
содержание данного языка, составляющее репрезентацию действительности.
Ядро картины мира определяет ядро язьпсовой картины мира. Языковая
картина мира, организованная в понятия нашим сознанием (в основном
языковой системой) специфическим (национально-детерминированным)
образом, и хранящаяся в нашем сознании, является инвариантной языковой
картиной мира, культурной «сердцевиной» индивидуальной языковой
картины мира носителя языка.
---
11 5. Определено понятие вторичной языковой личности как совокупности способностей человека овнешнять систему образов новой для него действительности, используя вербально-семантический код языка. Главным признаком вторичной язьпсовой личности является наличие языкового сознания (представлений, закрепленных во втором языке), и языкового самосознания (способности произвести собственную оценку текстов на иностранном языке). 6. Подтвержден фаюг влияния развитого языкового сознания на формирование вторичной языковой личности. С одной стороны, наднациональная составляющая картины мира, идентичные понятия носителей первого и второго языка, надежно установленные языковые универсалии дают солидные основания и являются хорошей опорой для формирования новой картины мира. С другой стороны, национальное своеобразие классификации опыта родного языка являются основным препятствием освоения иностранного языка. Бесконечно сравнивая, вторичная языковая личность свои усилия направляет на преодоление связи между «именем» и «вещью», существующей в родном языке и отражает различие в способах иерархизации понятий, в способах их перестановок и притивопоставлений. 7. Предложена модель освоения иностранного языка, учитывающая специфику формирования тезауруса-П вторичной языковой личности и позволяющая строить свою собственную языковую картину мира. В основе модели лежат сопоставительный метод (соотношение «язык/культура-1» и «язык/культура-П»), и гипотеза «промежуточного язьпса», позволяющие рассматривать оба языка как эквивалентные сущности, как две равноправные позиции в одном общем процессе обучения и преодолевать лингвокогнитивные барьеры. Практическая значимость работы заключается в уточнении целей формирования черт вторичной языковой личности, в выявлении путей
---
12 совершенствования обучения иностранному языку во время, когда приоритетными становятся установление взаимопонимания между народами, обеспечение доступа к многообразию мировой культуры.
В результате исследования автор пришёл к ряду теоретических выводов, выносимых на защиту в качестве основных положений.
Положения, выносимые на защиту; 1. Язык - промежуточное звено между сознанием и действительностью, а человек говорящий суть звено, связующее язык и действительность. Проблема изучения человека говорящего требует рассмотрения закономерностей взаимодействия языка и мышления, языка и действительности, поэтому выходит в смежные области и дает возможность исследовать некоторые закономерности познавательной деятельности. Языковая личность интегрирует человека говорящего и человека мыслящего. 2. Структура языковой личности состоит из трех уровней: вербальносемантического, когнитивного, прагматического, отражающих три уровня знаний языковой личности - лексикон, грамматику и прагматику. Проблема структурирования знаний решается через анализ зафиксированных языковьдх явлений. 3. Языковая картина мира как факт сознания, его важнейшей образующей и являет мир значений. Моделирование знания о мире в сознании осуществляется с помощью разных типов концептов, организованных иерархически (концепт, фрейм, скрипт). Все три формы организации знания являются видами концепта. Фреймы во многом содержат лингвокультурную информацию, отражающую национально специфичные формы поведения и реакции. 4. Вторичная языковая личность призвана понять новую для нее социальную действительность, отраженную в текстах носителя языка. Национальная картина мира фиксируется в язьпсе и накладывает ограничения на коммуникативную функцию психики вторичной языковой личности.
---
13 Национальное пронизывает все уровни организации вторичной языковой личности и носителя изучаемого языка. Языковое сознание вторичной языковой личности всегда противоречиво.
5. Языковая картина мира вторичной языковой личности характеризуется наличием наднациональной составляющей картины мира, общей для носителей родного и иностранного языков. Включение идентичных понятий носителей первого и второго языков является опорой формирования новой картины мира в сознании вторичной языковой личности.
6. Смысл и значение - это те составляющие сознания, которые описывают восприятие объекта реальной действительности. Строительный материал образа мира - не безличные социализованные значения, а личностные смыслы. Активность мысли и слова, динамика развития мысли и слова определяет процесс становления вторичной языковой личности.
Гипотеза: Изучение феномена вторичной языковой личности успешно, если:
- теоретически и методологически обоснована неразрывная связь элементов системы «личность - языковая личность - вторичная языковая личность»;
- концептуально осмыслено взаимовлияние общечеловеческой и национальной культурной составляющих;
- вскрьгга совокупность факторов, влияющих на формирование системы знаний (тезауруса 1 - тезаурус 2), которая имеет общекультурный и национальный эталон.
Апробация и внедрений результатов нсследованин. Основные положения и выводы диссертационного исследования обсуждались на: научно-практической конференции Новороссийского филиала Современного Гуманитарного Института «Студент и наука» г. Новороссийск (апрель 2001 г.), на Международной научно-практической
---
14 конференции «Проблемы прикладной лингвистики» (Пенза 2004), на Международной научно-практической конференции «История, теория, внедрение, использование, опыт развивающего обучения специалистов во всех видах образования и деятельности» (Балашов, 2005), на I X Международной научно-практической конференции «Университетское образование», на городской научно-практической конференции «Студент и наука» г. Новороссийск (ноябрь 2005 г.). Материалы и результаты исследования внедрялись на практических занятиях по английскому языку. Диссертация обсуждена на кафедре философии Современной гуманитарной академии и рекомендована к защите.
Основные идеи и научные результаты отражены в публикациях по теме исследования.
Структура диссертации определена логикой и последовательностью решения задач исследования. Она состоит из введения, трех глав, заключения, списка используемой литературы.
Основное содержание работы; Во введении обосновывается актуальность выбранной темы исследования, объясняется цель, объект и предмет исследования, излагаются методы и методология, применяемые в исследовании, раскрывается теоретическая и практическая значимость полученных результатов. В первой главе «Язык и личность как предмет исследования в философии, языкознании, психологии» определена логика исследования взаимосвязи языка и личности. Учитывая междисциплинарный статус проблемы, в исследовании сделана попытка преодоления межведомственньпс границ при анализе отношений человек-язык в истории философии, психологии, лингвистике. Дана краткая характеристика основных понятий исследования, центральными из который являются личность, языковая личность, картина мира, языковая картина мира, языковое сознание, языковая способность, смысл, значение.
---
15 История философии показывает, что проблемы языка интересовала философов еще в глубокой древности. Этой проблемой особо интересовались софисты. Но первое целостное специальное исследование этой проблемы принадлежит Платону и изложено в диалоге «Кратил», а также в «Меноне», «Теэтете», «Софисте» и др. Классическую постройку, в которой очерчено переплетение интересов философии, лингвистики и психологии, находим у Аристотеля, согласно которому буквы указывают на звуки, звуки указывают на переживания в душе человека, а эти переживания указывают на относящиеся к ним вещи. Идеи Аристотеля и Платона определили логику всего нашего исследования проблемы соотношения человек - язык, которое ведется по оси «вещь» (реальный мир) - «переживание» («претерпевание души», сознание) - «звук» (способ, предмет приложения, надындивидуальная языковая система). Человек говорящий понимает, истолковывает реальный мир, отражает в процессе речевой деятельности, использует язык как надьгадивидуальную систему, реализуя свою языковую способность, «как механизм присвоения свойств объекта». Он переживает, чувствует мир через язьпсовые формы, иначе говоря, языковые знаки «прорастают» в психику человека. Исследование языкового сознания ведется в рамках ассоциативной лингвистики и опирается на концептуальную схему А. Н. Леонтьева. Согласно этой теории в процессе восприятия объекта действительности неязыковой природы в сознании человека формируются смысл и значение (составляющие сознания). Это чувственная ткань, осмысляемая, а затем означаемая при помощи общественно закреплённых знаков. Получаемые таким образом знания (значения), а через них и образы сознания (и чувственная ткань и личностный смысл) функционируют в интерсубъектном пространстве и доступны для восприятия только в том случае, если они ассоциативно связаны с другим предметом, имеющим роль тела знака.
---
16 Логическую форму реальности мы узнаем из языка (Л. Витгенштейн). В рамках аналитической философии связь между языком и миром основывается на условной координации имен и вещей. Ю. С. Степанов развивает идею Б. Рассела о том, что язык сочетает языки разных логических типов, и говорит о трех измерениях языка: синтаксисе (отношениях знака к объекту, как они представляются через семантику и прагматику), семантике (отношениях между знаками, как они предстают через синтаксис и прагматику), прагматике (отношениях знаков к носителю языка, как они предстают через семантику и синтаксис). Четкая и определенная неоднородность языка вскрыта в работах Л. В. Щербы: первый аспект составляют процессы говорения и понимания, названные им речевой деятельностью. Второй аспект - это языковая система, определяемая словарем и грамматикой. Третий аспект - «языковой материал», под которьпм Л. В. Щерба понимал совокухгаость всего говоримого и понимаемого в определенной конкретной обстановке. Гумбольдт разработал подход к язьпсу как ergon (дело), получивший законченное развитие в структурализме, и как energeia (действие, деятельность), который нашел новое развитие в генеративной лингвистике. Представители структурализма определяют язык как множество правил, устанавленных в грамматиках, и множество слов, записанных в словарях, ограничиваясь, таким образом, изучением «языка в себе и для себя». Менталистская, «порождающая» теория Н. Хомского связала язык с природой человеческого мышления, с идеей об универсальных свойствах языка. Н. Хомский ввел разграничение поверхностной и глубинной структур, как формально разных синтаксических конструкций, имеющих в той или иной степени общее значение, соотнесенных посредством некоторых мыслительных операций.
---
17 Менталисты и механисты различаются в первую очередь своим отношением к значению, к смысловой стороне языка. Имя как знак имеет двойственную природу: обозначает предмет или класс предметов, вьфажая объем понятия или значение, а также передает совокупность признаков этого предмета или класса, передавая его содержание или смысл. Значение - содержание, связываемое с тем или ИНЬПЙ выражением языка. Смысл - это мыслимое содержании значения, информации, благодаря которой происходит отнесение вьфажения к тому или иному предмету. Смысл - часть значения или специфическое значение, которое слово приобретает в речи, и вьфажается в сугубо личных мыслях, чувствах, образах, ассоциациях Смысл как элемент речи, возникающий в сознании в процессе говорения - это результат деятельности. Смысловая связь (нанизывание смыслов) превращает предложение в дискурс (связанную речь). Смыслы в этом процессе выступают в качестве единиц, из которых строится синтагматика мысли (рассуждение). Существенное качество смысла - его соответственность коммуникативному намеренью или ситуации. Ш. Балли обращает внимания на прагматическую составляющую языка: в процессе общения собеседники взаимодействуют и оказывают влияние друг на друга. При этом внутреннее устройство языка во многом определяется условиями его функционирования. Л. Витгенштейн выявляет действительные ситуации употребления языковых средств и разрабатывает концепция значения как употребления. Философ призывает учитывать не только внутренний языковой контекст, но и внеязыковые ситуации, которые образуют всю систем человеческой деятельности, включая язык, как один из ее элементов. В речевом мышлении, в его единице - значении слова - и происходит объединение двух основных функций речи - общения и обобщения. Речь выступает способом формирования и формулирования мысли, объединяющей язык и речь.
---
18 Теория речевых актов возникла в 60-х—70-х гг. X X столетия в работах Дж. Остина, Дж. Серля, как анализ пресуппозиции и пропозиций высказываний, определяющих их лингвистическую релевантность коммуникативному намерению. Отметим, что в основе этой теории лежит философия прагматизма, что выражается, в частности, в трактовке высказывания только как действия поведенческого акта, то есть подчеркивается его прагматический аспект и, соответственно, элиминируются когнитивный, познавательный аспекты высказывания. Психолингвистика изучает природу и структуру языковой способности и ее реализацию в речевой деятельности, различает язык как абстрактную надындивидуальную систему и языковую способность как механизм выражать абстрактные идеи, пропозицию как механизм языкового сознания. Ассоциативная лингвистика определяет язык как ассоциативновербальную сеть из последовательно усложняющихся иерархических подчинённых уровней: слово (словосочетание) - ассоциативное поле совокупность ассоциативных полей, которая соотносится с языковой способностью языковой личности, т. Гоббс, Дж. Локк развивали идею языковой способности, как способности выражать абстрактные идеи. Г. В. Лейбниц определяет языковую способность как способность человеческого восприятия действительности, при развитии значения, обобщая, идти от общего к частному. Моделирование знания о мире в сознании осуществляется с помощью разных типов концептов, организованных иерархически (концепт, фрейм, скрипт). Все три формы организации знания являются видами концепта. Концепт, как план содержания языкового знака, включает в себя предметную отнесенность, всю коммуникативно значимую информацию, прагматическую информащио, связанную с «переживаемостью» и «интенсивностью» духовных ценностей, к которым он отправляет. Фреймы — порции
---
19 информации, имеющие более общий, четко иерархически-организованный характер. Языковая единица имеет референцию не прямо к миру, а всегда через фреймовое включение; фрейм выступает в роли посредника между значением языковой единицы и выполнением ею знаковой функции. Скрипты когнитивные модели, которые позволяют ориентироваться в жизненных ситуациях.
Так проблема отношений человек - язык выливается в проблему изучения человека не только говорящего, но и мыслящего - языковой личности, т.к. именно она интегрирует в своем языковом сознании отношения реальный мир - язык - человек. Языковая личность выступает носителем языка как абстрактной надындивидуальной системы, языкового сознания (языковой способности) и языка как продукта (текст, высказывание), а язык через языковую личность предстает не только как система языка, как способность (языковое сознание), но и как текст.
Языковая система и закономерности организации речи обуславливают характер структурирования мира. Отображенная в обыденном языке типизация повседневной жизни выражает интерактивные, обобщенные значения, которые придают социальному порядку характер естественности, самоочевидности.
Во второй главе «Языковая личность в философии лингвистике и лингводидактике» проанализированы основные элементы языковой личности, которые на определенном уровне ее структуры выстраиваются в строгую систему, отражающую картину мира, являющуюся фактом сознания, его важнейшей составляющей. Она закрепляется и реализуется в своеобразной форме (языковой картине мира) и является частью тезаурусного уровня (системы знаний) языковой личности.
Понятие языковой личности, представленное до него в неявной форме, обобщил В.В. Виноградов. Человек рассматривается как носитель языка со стороны его способности к речевой деятельности.
---
20 В процесс именования человек говорящий приобретает орудие получения и разбора сущности вещей - язык - в его знаковой форме. Поэтому языковая личность сочетает именование, как процесс труда (речь), и имя, как результат труда (языковую систему). Орудием акта именования, по Платону, являются звуки речи, а материалом - объекты именования (вещи действительные или мнимые). Поэтому предметом нашего интереса становится человек, как носитель сознания языкового, в результате речевой деятельности осознающий и отражающий реальную действительность, и его речь, как носитель его сознания и средство мышления, но не безличная речь, а речь персонифицированная. Языковое сознание является дифференцирующим признаком языковой личности: это отношение субъекта к среде, выраженное в языке, это мировидение субъекта, его представление о мире и представление о языке. Поэтому языковое сознание языковой личности двунаправлено и всегда национально, т.к. определяет классификацию структуры опыта языковой личности, а ее отношение к среде включает в акт сознания всю ее жизнь в её уникальности и неповторимости, а также и непосредственное переживание ею системы своих отношений к реальности. В начале своего пути к языку человек говорящий находится вне языка, он идет от хаоса языковых форм к холистичной системе в нем, развивая значения слова и закрепляя их в языковой форме, т.е. становится в отношении с системой, с различными ее составляющими (синтаксисом, семантикой, прагматикой), взаимосвязь которьпс определяется тремя законами: - построения (выражены явно - эксплицитны); - осмысления (не выражены явно - имплицитны); - употребления (не выражены явно - имплицитны).
---
21 Язык структурирует мир и личность. В структуре личности, представляющей образование из трех уровней, отражены все три уровня знаний. 1), Вербально-семантический интегрирует черты общенационального языкового типа. Это нулевой уровень в структуре языковой личности, так как человек говорящий на этом уровне закрепляет представления о мире, отношения, не зависящие от его сознания, приобретает внешнюю форму слова, строит ассоциативное поле. Сознание формирует ассоциативно вербальную сеть, средство выражения определенных значений, выражающих отношение знака к объекту действительности. 2). Когнитивный (тезаурусный) уровень интегрирует черты национальной языковой личности: базовую часть общей для нации картины мира, или мировидение. Это первый в структуре языковой личности уровень, так как здесь работают законы осмысления представленного, формируется пласт сознания, соотнесенный с системой значений. Единицы этого уровня (понятия, идеи, концепты, фреймы) организуют статичную и относительно стабильную картину мира носителя языка. Этот уровень соотносится с пассивным знанием языка или компетенцией (competence) и выработкой концепта в сознании языковой личности. 3). Прагматический (мотивационный), второй в структуре языковой личности уровень отражает индивидуальную картину мира и обеспечивает в анализе языковой личности закономерный и обусловленный переход от оценок её речевой деятельности к осмыслению речевой деятельности в мире. Этот уровень соотносится с активным знанием языка (performance), это не цели и мотивы, а порождаемые ими потребности или готовности, способные удовлетворить эти потребности. Здесь вырабатывается языковой концепт, устанавливающий связь между знаниями семантики и способностями использовать язык. Прагматический уровень, как устойчивый комплекс коммуникативных черт, определяющих национально-культурную
---
22 мотивированность речевого поведения, позволяет языковой личности выражать отношение к референциальному макрокомпоненту значения (выражения отношения сообщения к реальной действительности). Различные способы отношения знаков к обозначаемому (значение) выясняют принципы построения осмысленных высказываний.
Делая прагматические выводы, которые обеспечивают возможность вживания, точно реконструируя описанные события, языковая личность понимает смысл высказывания. Языковая личность, постигает смысл, используя весь свой опыт, всю совокупность знаний (наднациональную и национальную картины мира) и знания языкового материала.
Тогда язык - это мера установления смыслов событий (отношений), а языковая личность - это субъект, устанавливающий смысл и выражающий его в речи. Следовательно, формировать языковое сознание означает строить языковую картину мира.
Картины мира - все концептуальное содержание данного язьпса, составляющее репрезентацию всей действительности, является фактом сознания и являет мир значений. Ядро картины мира определяет ядро языковой картины мира, обе картины имеют общую структуру и находятся в диалектическом единстве. Поскольку значения выражены в языке, то языковая картина мира есть своеобразная форма, в которой картина мира закрепляется и реализуется. Иными словами, языковая картина мира может быть определена как совокупность знаний о мире, запечатленных в лексике, фразеологии, грамматике.
В третьей главе «Теоретико-познавательные и методологические проблемы изучения вторичной языковой личности» рассмотрены сущностные черты вторичной языковой личности, как совокупности способностей к иноязычному общению на межкультурном уровне; проанализированы особенности формирования тезауруса вторичной языковой личности, особенности составления языковой картины мира как
---
23 совокупности обработанных языком когнитивных структур и отдельных элементов опыта человека - концептов; рассмотрен сравнительнотипологический метод как оптимальный метод формирования тезауруса II, дающий возможность формировать прототипы концептуальных схем, отличных от аналогичных категорий лингвокультурной общности обучаемого, с лингвистической, психологической, лингводидактической точек зрения; проанализирована процедура формирования смысла как фундаментальная составляющая социального бытия человека.
Основное различие между двумя возможными путями формирования языковой личности лежат в области сознательного и интуитивного, в способе усвоения языкового материала. Языковое сознание вторичной языковой личности развивается на базе родного язьжа. Это не только помогает в овладении иностранного языка, но способствует развитию языкового сознания вообще и определяет понимание мира.
Структура и содержание модели овладения языком в процессе обучения, применительно к изучению иностранного языка может быть представлена как модель вторичной языковой личности. Эта модель строится на образе языка, который существует в лингвистической науке в каждый конкретный период ее развития. Вторичная языковая личность призвана понять новую для нее социальную действительность, отраженную в текстах носителя языка, бытующего в этой социальной действительности.
Вторичная языковая личность - это совокупность способностей человека овнешнять систему образов новой для него действительности, используя вербально - семантический код иностранного языка в процессе взаимодействия с носителем этого языка.
Носитель другого языка также как и вторичная языковая личность в структурах своей личности интегрирует черты национальной языковой личности.
---
24 Вторичной языковой личности противостоит не только другой язык, как «гигантский мнемонический конгломерат», но и носитель языка, выражающий в текстах свое отнощение к реальному миру. Значит, на протяжении всего пути к иному языку вторичная языковая личность строит отношение к отличному предметному миру средствами иной язьпсовой системы и иных закономерностей организации речи, учитывая иное структурирование мира. Сложность освоения нового языка заключается в преодолении нескольких барьеров: барьеров, присупщх языку и барьеров присущих фону (знаниям о мире, о ситуации, т.е. об экстралингвистическом контексте). Для успешного преодоления барьеров знания вторичной языковой личности должны быть аналогичны тем, которыми обладает носитель иностранного языка. Поэтому языковое сознание вторичной языковой личности всегда противоречиво - в нем всегда присутствуют и скрыто или явно борются, как минимум, две языковых личности с «двумя масками», меняющимися в зависимости от контекста. Не только родной язык давит, но и иностранный язык влияет на специфическое использование родного языка. Существенным является то, что языки различаются по форме и структуре, но все кодируют значения того, что нас окружает. Поэтому основой высказывания следует считать не языковую систему, а суть вещи или отношений реальной действительности и наличие наднациональной составляющей картины мира, общей для носителей первого и второго языков, которая включает идентичные понятия носителей первого и второго языка. Надежно установленные языковые универсалии дают солидные основания для понимания второго языка, т.к. позволяют находить эквиваленты языковых средств в родном и изучаемых языках. Мысль, как познавательная единица, является основой, позволяющей сравнивать объем и структуру аналогичных понятий в родном и иностранном языках, и становится подосновой сопоставительного изучения языка.
---
25 Следует подчеркнуть, что различие лежит не в содержании понятий народов, говорящих на разных языках, а в несовпадении семантических полей слова. РЬгоязычная лексика уходит своими корнями в национально-историческисоциальный контекст лингво-культурного общества. Поэтому при формировании языкового сознания вторичной языковой личности одним из «подводньк» камней, о которые разбиваются усилия, является приём семантизащга лексических и фразеологических единиц через родной язык. Когда мы пытаемся добиться усвоения языковой единицы, нам следует, прибегать не только к системе образов родного языка, но учитывать то, что понятийная система иностранного языка обретает функциональную действительность только на фоне своей собственной национально обусловленной «образности».
При всей безошибочности владения другим языком семантика глагола функционально второго языка не вплетена в структуру конкретных действий, а сквозь семантику имен просвечивает семантическая глубина лексем функционально второго языка. Поэтому понимание различия в понятийном содержании позволяет понять способы формирования и формулирования мысли на разных языках. Знание язьпсовых средств еще не означает владения способом формирования и формулирования мысли.
Сравнительно-типологический метод позволяет вторичной языковой личности перебрасывать «мосты-сравнения» между реалиями родной и другой действительности, а также между реалиями языка, формировать новые связи, возникающие между словами на основе внутреннего и внешнего сходства. При этом свои усилия она направляет на преодоление связи между «именем» и « вещью», существующей в родном языке.
Языковая личность постигает смысл подавляющего большинства слов и выражений языка, как бы всплывающим из глубин личного жизненного опыта, не аналитически и дискурсивно, а наоборот, вне определения сразу, целиком, так как ее картина мира строилась, а языковая картина мира ткалось
---
26 неосознанно в процессе интериоризации мира личностью. Для того, чтобы вторичная языковая личность постигла таким образом смысл, в ее языковом сознании должно быть в языковой форме содержание передаваемых значений, структурированных и готовых к употреблению, а также должно быть развито интуитивное умение находить связи слов в пределах словосочетания и в пределах текста.
Поэтому на пути к иному языку, вторичная языковая личность осознанно строит свою собственную систему отношений: через систему лексических, грамматических и фонологических единиц, через систему правил коммуникативного поведения в определённом этнокультурном и социальном контексте, она осваивает язык как систему вербализованных знаний о мире.
Сознание вторичной языковой личности формирует тезаурус-П (основу инокультурного «мировиденпя) - «сеть» фреймов и сценариев, которые отличаются от аналогичных категорий лингвокультурной общности обучаемого. Они будут пресуппонироватъ образ результата при восприятии иноязычного текста. Обращение к «собственному» речевому и фреймовому опыту является диссонансом при восприятии, а не подспорьем. Назначение текста следует видеть в формировании фреймовых пресуппозиций в когнитивном сознании вторичной языковой личности. Наличие пресуппозиции (предпосылки, «образа результата», инокультурного концепта) в когнитивном сознании вторичной языковой личности будет выполнять функцию «истинности» высказывания. Семантические и прагматические разряды когнитивных пресушюзшщй служат своеобразными единицами вторичного лингвокогнитивного тезауруса языковой личности.
В структуре вторичной языковой личности как части целой системы (языковой личности), выделяются три уровня, в соответствии с которыми, вторичная языковая личность развивает свое языковое сознание.
---
27 Первый уровень вторичной языковой личности, в отличие от нулевого уровня языковой личности, говорящей на родном языке, предполагает работу языкового сознания: выявляются бесконечные различия в родном и иностранном языках, высвечиваются ассоциации, имеющие национальноспецифическую особенность. Строя мосты - сравнения, она «вооружается техникой» выражать объективную связь объекта и его свойства, связывает внешнюю и внутреннюю формы слова. Сознание формирует новую ассоциативно-вербальную сеть. Метод развития способности «улавливания смысла» - подбор синонимов.
Второй уровень предполагает развитие семантической способности (семантической интуиции) языкового сознания, формирует отношение класса к именам членов класса. Отражая отношения реального мира на ином уровне, вторичная язьпсовая личность усложняет предложение в системе координат где-то, когда-то. На этом уровне самый эффективный метод развития способности «улавливания смысла» - перефразировка и трансформация. Перефразируя, вторичная языковая личность освобождается от «языковой оболочки» и переходит на более глубокий уровень логического анализа и отражает свою индивидуальность. На этом уровне различается пассивная и активная конструкции, они трансформируются одна в другую.
На этом уровне языковая личность выводит концепт, языковую величину как «знак понимаемого смысла и знак чуемой субъективности», который в непосредственном опыте ей не дан. Фреймовый опыт способствует тому, чтобы ее сознание прогнозировало изменение состояния объектов внешнего мира и взаимосвязь событий. Собственный фреймовый опыт (семантическое представление слов, предложений, текстов) на родном языке является диссонансом. Поэтому развивать семантическую сторону языковой способности следует на материале текстов, заряженных семантической пропозиционностью, позволяющих вычленять значения, заряженные национально-специфической образностью.
---
28
Эффективными методами формирования фреймового опыта видятся
тезаурусный метод изучения лексики, объединяющий слова вокруг общей
идеи, и принщш семантических полей, способствуюощй развитию
способности «выражать оттенки мысли», а также грамматический подход,
помогающий усвоить «дух» языка» ( Ш . Балли).
На третьем уровне языковое сознание соотносит знак с носителем языка, представляя объективную ситуация субъективным образом. Вторичная языковая личность развивает самосознание и прагматическую сторону язьжового сознания. Развитое языковое самосознание позволяет осознавать наличие или отсутствие в своем речевом опыте в иностранном языке средств, а также выбирать стратегию, чтобы акт общения состоялся.
Прагматическая сторона языкового сознания поставляет языковые данные и соотносит языковой материал с «ситуацией» (реальной действительностью), т.е. выводит языковой концепт. Реальная ситуация задает координаты в двух уровнях: этот (я), здесь, сейчас, которые накладываются на пророзицию первого уровня. Поэтому вторичная языковая личность на третьем уровне рассматривается с точки зрения ее опыта.
В неразложимом единстве слова (значении), предполагающем целый ряд внутренних отношений (смыслов), заложены конструктивноформирующие потенции, которые приводят вторичную языковую личность к предметному смыслу и она выявляет второе качество слова - его субъективность. Только индивидуальный опыт переживания и понимания иного мира открывает ей эти смыслы, приводит к «узнаванию» смыслового содержания высказывания.
«Кирпичиками» строительства нового для вторичной языковой личности образа мира служат не безличные социализоваиные значения слов, а ее личностные смыслы, которые кристаллизуют ее отнощение к миру.
---
29 На этом уровне на материале текстов, заряженных прагматической пропозиционностью, развивается прагматическая интуиция - способность языкового сознания автоматически делать коммуникативно-релевантные прагматические выводы, а также способность выводить самостоятельно недостающую информацию из «фона общих знаний» и ситуации, т.к. текст не несет в себе всего того, что говорящий сообщает. Итак, уровень владения языком не означает знание лишь внешних форм языка, а возможность перехода к внутренним смыслам связан с соотношением единиц внутренней (предметно-фактической, семантической информации) и внешней (язьпсовой, зафиксированной в языковой структуре) информации. Следовательно, формирование языкового сознания вторичной языковой личности должно вестись с учетом всех парадигматических составляющих языка, главная из которых национальное своеобразие, которое пронизывает не только его материальные, но и ментальные характеристики, и психологические особенности. Поэтому процесс овладения иностранным языком следует строить, опираясь на гипотезу «промежуточного языка» и строить ее в соотношении «язык/культура-Ь> и «язык/культура-П», элиминировать так называемую «чуждость» в сознании вторичной языковой личности к иностранному языку и переводить его в разряд вторичного, но «не-чужого» языка, «не-чужой культуры». Перерабатывая индивидуальный опьгг, вторичная языковая личность строит «смешанный/межъязыковый код», образуя свою собственную, самостоятельную языковую систему, имеющую черты родного языка и изучаемого второго языка и свои собственные специфические особенности, независимые от первых двух языков, развивает интуитивное умение находить связи слов в пределах словосочетания и в пределах текста. Приобретая словесные привычки, языковая личность готовит себя к действительным ситуациям, в которых можем оказаться.
---
30 Список публикаций по теме диссертации: 1. Шашлова Г. С. Тригапотетические модели овладения иностранным языком//Технологии реализации личности - Новороссийск. №д. Краснодарское книжное издателылзо, 2001, С. 346-353. 2. Шашлова Г. С. Свобода, творчество, личность в философии Н. А. Бердяева//Студент и наука: Материалы Студенческой конференции Новороссийск. Изд. Краснодарское книжное издательство, 2001, С.40-43. 3. Шашлова Г. С. Природа языковой способности//Проблемы прикладной лингвистики: Материалы Международной научно-практической конференции - Пенза. Изд. Приволжский дом знаний, 2005, С. 396-398. 4. Шашлова Г. С. Язык-человек//Вестник ИМСИТа. 2004, № 3-4 Краснодар, С.73-76. 5. Шашлова Г. С. Образ мира и язык//Университетское образование: Тезисы I X Международной научно-практической конференции - Пенза. Изд. Приволжский дом знаний, 2005, С.458-460. 6. Шашлова Г. С. Модель вторичной языковой личности - модель научения иностранному языку//История, теория, внедрение, использование, опыт развивающегося обучения специалистов во всех видах образования и деятельности: Сборник статей Международной научно-практической конференции - Балашов. Изд. Николаев О. А., 2005, С.35-38. 7. Опанасюк Д. М., Старцева Е.Н., Шашлова Г. С. Особенности построения картины мира вторичной языковой личностью//Студент и наука: Материалы Студенческой конференции - Новороссийск. Изд. Краснодарское книжное издательство, 2005, С. 40-47.
[ext[ссылка|http://skulpt.org/]]
[[Смыкунова]] Н.В. Прецедентные феномены в речевом общении русской языковой личности и процессе обучения русскому языку как иностранному
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=835882]]*[ext[ссылка 2|https://new-disser.ru/_avtoreferats/01002614756.pdf]]
[[snv_ar 1]]
---
* {{snv_ar_s4_1}}#[[snv_ar_s4_1]]
* {{snv_ar_s4_2_0}}*[[snv_ar_s4_2_0]]
* {{snv_ar_s4_2_1}}*[[snv_ar_s4_2_1]]
* {{snv_ar_s4_2_2}}*[[snv_ar_s4_2_2]]
* {{snv_ar_s4_2_3}}*[[snv_ar_s4_2_3]]
* {{snv_ar_s4_2_4}}*[[snv_ar_s4_2_4]]
* {{snv_ar_s4_2_5}}*[[snv_ar_s4_2_5]]
* {{snv_ar_s4_2_6}}*[[snv_ar_s4_2_6]]
* {{snv_ar_s4_3}}*[[snv_ar_s4_3]]
* {{snv_ar_s5_1}}*[[snv_ar_s5_1]]
* {{snv_ar_s5_2}}*[[snv_ar_s5_2]]
* {{snv_ar_s5_3}}*[[snv_ar_s5_3]]
* {{snv_ar_s5_4}}*[[snv_ar_s5_4]]
* {{snv_ar_s5_5}}*[[snv_ar_s5_5]]
* {{snv_ar_s5_6}}*[[snv_ar_s5_6]]
* {{snv_ar_s6_2_0}}*[[snv_ar_s6_2_0]]
* {{snv_ar_s6_2_1}}*[[snv_ar_s6_2_1]]
* {{snv_ar_s6_2_2}}*[[snv_ar_s6_2_2]]
* {{snv_ar_s6_2_3}}*[[snv_ar_s6_2_3]]
*{{snv_ar_s6_3}}*[[snv_ar_s6_3]]
[[Смыкунова]] Н.В. Прецедентные феномены в речевом общении русской языковой личности и процессе обучения русскому языку как иностранному
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=835882]]*[ext[ссылка 2|https://new-disser.ru/_avtoreferats/01002614756.pdf]]
[[snv_ar]]
---
!!''Прецедентные феномены в речевом общении русской языковой личности и процессе обучения русскому языку как иностранному''
* Цель диссертационного исследования - определение роли и места прецедентных феноменов в структуре русской языковой личности, выявление того набора прецедентных феноменов, который может быть необходим для реального дискурса этой личности, а также разработка системы включения этих единиц в процесс преподавания русского языка как иностранного.
* Предмет исследования - прецедентные феномены как структурные компоненты ассоциативно- вербальной сети русской языковой личности и лингвокультурологические основы методики работы с прецедентными феноменами в процессе обучения РКИ.
* Объект диссертационного исследования - прецедентные феномены, отобранные методом сплошной выборки из Русского Ассоциативного Тезауруса с учетом лексического минимума повседневного общения.
---
* { {snv_ar_s4_1}}* { {snv_ar_s5_2}}* { {snv_ar_s5_3}}
---
*[[научная новизна |snv_ar 1 nn]]
*[[на защиту выносятся |snv_ar 1 nzv]]
*[[гипотеза |snv_ar 1 gipoteza]]
*[[задачи |snv_ar 1 zadachi]]
*[[теоретическая значимость|snv_ar 1 tzi]]
*[[практическая значимость|snv_ar 1 pzi]]
*[[материал для размышления|snv_ar_mdr]]
{{snv_ar_s6_3}}*[[snv_ar_s6_3]]
{{snv_ar_s4_3}}*[[snv_ar_s4_3]]
{{snv_ar_s5_1}}*[[snv_ar_s5_1]]
стр. 4-5
{{snv_ar_s6_2_0}}
{{snv_ar_s6_2_1}}
{{snv_ar_s6_2_2}}
{{snv_ar_s6_2_3}}
{{snv_ar_s5_5}}*[[snv_ar_s5_5]]
{{snv_ar_s4_2_0}}
{{snv_ar_s4_2_1}}
{{snv_ar_s4_2_2}}
{{snv_ar_s4_2_3}}
{{snv_ar_s4_2_4}}
{{snv_ar_s4_2_5}}
{{snv_ar_s4_2_6}}
стр. 4
7<center> ''Содержание работы '' </center>
Во введении обосновывается актуальность избранной темы, определяются цель и задачи исследования, дается характеристика язьпсового материала, привлеченного для анализа, перечисляются использованные методы, сообщается теоретическая ценность и практическая значимость исследования. В первой главе «Прецедентные феномены как компоненты русской языковой личности и их функционирование в речевом общении» определяется место прецедентных феноменов в структуре языковой личности; на основании проанализированных нами различных подходов к рассматриваемой проблеме в совреметюй лингвистике дается определение прецедентных феноменов как единиц речевого общения, предлагается классификация прецедентных феноменов с учетом методических целей данного исследования. Прецедентные феномены, в основе которых лежат феноменологические и лингвистические когнитивные структуры, входят в ядро когнитивной базы данного национально-лингвального сообщества и в процессе речевого общения реализуют прагматическую функцию, а именно оперирование данньаш единицами ориентировано не на обычную коммуникацию, не на прямое сообщение какой-либо информации, а обусловлено доминирующими целями, мотивами, установками, или ситуативными интенциями язьпсовой личности. Обзор специальной литературы (Н.Д.Бурвикова, Д.Б.Гудков, И.В.Захаренко, Ю.Н.Караулов, В.Г.Костомаров, В.В.Красных, И.М.Михалева, Ю.Е.Прохоров, Г.Г.Слышкин, Ю.А. Сорокин, А.Е.Супрун и др.) показывает, что ученые в своих трудах оперируют такими понятиями, как «прецедентный текст», «прецедентное высказывание», «логоэпистема», «прецедентная текстовая реминисценция», «текстовая реминисценция», «прецедентные феномены». За данньши терминами скрываются понятия
8 близкие, зачастую одной природы, но разнопорядковые. Это объясняется тем, что в основе лежит ключевое понятие «прецедентный», которое исследователи понимают и трактуют приблизительно одинаково. Разница касается самих анализируемых феноменов и «степени», «глубиньп> этих явлений. В данном исследовании, разрабатывая собственную типологическую классификацию, мы опираемся на систему прецедентных феноменов, представленную работами Д.В. Багаевой, Д.Б. Гудкова, И.В. Захаренко, В.В.Красных. Прецедентные феномены - это единицы дискурса, регулярно возобновляемые в речи, известные всем представителям национально-лингвокультурного сообщества, имеющие общий минимизированный, коннотативно окрашенный инвариант восприятия, обращение к которому понятно без дополнительной расшифровки. Прецедентные феномены включают в себя прецедентный текст, прецедентную ситуацию, прецедентное высказывание, прецедентное имя. В центре данной работы находятся национально-прецедентные (известные любому представителю данного национально-лингво-культурного сообщества и входящие в национальную когнитивную базу) вербальные феномены - прецедентные высказывания (например, свободу Юрию Деточкину!, встреча на Эльбе, гражданин, пройдемте!) и прецедентные имена (например, дядя Степа, Арина Родионовна, Мойдодыр). Прецедентные имена характеризуются возможностью их интенсионального употребления, т.е. при обращении к дифференциальным признакам (черта характера, внепшость) прецедентного имени с последующим з^азанием текста/ситуации-источника. Например, называя кого-либо Петрушкой, мы имеем в виду, что этот человек любит шутить. Петрушка - персонаж русского фольклора, «клоун» (ассоциативная пара: шутка -* Петрушка); называя кого-либо Шаляпиным, мы имеем в виду, что
9этот человек имеет красивый голос, что он хоропшй певец (ассоциативная пара: голос —^Шаляпин). Основанием для выделения интенсионального употребления прецедентного имени является наличие в ассоциативной паре какого-либо дифференциального признака: богатый —* Буратино, высокий —♦ дядя Степа, доктор —*Айболит. В таких реакциях, как воскресение --* Толстой, автомат -^ Калашникова, балет—* Чайковский, Вести —* Сорокина происходит обращение к экстенсиональному (денотативному) употреблению прецедентных имен. Поэтому такие единицы не включены нами в разряд прецедентных имен и помечены как «ярлыки» к соответствующим прецедентным текстам или ситуациям. В спорных случаях для разделения «ярлыков» прецедентного текста/ прецедентной ситуации, с одной стороны, и прецедентных имен, - с другой, был исключен индивидуальный подход к отбору. Для этого единицы вводились в одну из поисковых систем Интернет (Яндекс), а также в поисковую систему публичной библиотеки периодических изданий с целью выявления их употребления в печатных и электронных изданиях, а также в виртуальном общении пользователей сети. Если данная единица выявлялась не в контексте первоисточника (т.е. прецедентных текстов или прецедентных ситуаций), то она считалась прецедентным именем. Например, ассоциативные пары рассказать —* Арина Родионовна, бабушка —> Арина Родионовна. Является ли эта единица {Арина Родионовна) «ярлыком» к биографии А.С.Пушкина или она употребляется как прецедентное имя для характеристики качеств человека? Анализ результатов поиска показал, что кроме ссылок на документы, связанные с историей жизни А.С.Пушкина, единица Арина Родионовна употреблялась в контекстах со следуюищми значениями 1) няня; 2) человек, знающий много сказок. Прецедентное высказывание так же, как прецедентное имя, функционирует или в качестве «ярлыка» прецедентного текста при
10 необходимости апелляции к прецедентному тексту, или как собственно прецедентное высказывание. В этом случае критерием отбора также являлось употребление этой единицы в печатных и электронных изданиях или в виртуальном общении пользователей сети Интернет. Для классификации прецедентных высказываний выделены следующие основания: - текст-источник/ситуация-источник; - уровень значения: поверхностный (задействование лингвистических когнитивных структур) /глубинный (задействование лингвистических и феноменологических когнитивных структур). Например, у природы нет плохой погоды, Гражданин, пройдемте! (поверхностный уровень значения), в горящую избу войдет, здесь будет город-сад (глубинный уровень значения). - сохранение прецедентным высказыванием первоначальной формы (канонические/трансформированные). Использование прецедентньпс феноменов в процессе коммуникации носит ассоциативный характер, т.е. ситуация или фраза (слово) соотносится с ситуацией, фразой, образом из фильма, текста общеизвестной ситуацией и, соответственно, становится стимулом, реакцией на который и является воспроизводство соответствующего прецедентного феномена. В данном исследовании выделены следующие способы ввода прецедентного феномена. 1. Семантико-логический, когда проводится соположение реальной ситуации с прецедентной, или инвариантом восприятия прецедентного текста, в который она входит. В этом случае в основном используются прецедентные высказывания с глубинным значением и прецедентные имена. Например, армия - это отнюдь не институт благородных девии: хорошо поешь, настоящий Шаляпин! 2. Фонетико-звуковой (в этом случае семантическая нагрузка отсутствует), например, Молчи, молчи...Молчалин! 3. Способ цитирования, при котором механизм,
11 «извлекаюхций» данную ассоциацию, приводит в действие, как правило, лингвистические когнитивные структуры. Например, подходите ближе...ближе к телу, товарищи! В этом случае слово (стимул в ассоциативной паре в нашем случае) является «ключом» для понимания смысла высказывания, остальные компоненты высказывания «аннулируются», они не влияют на общий смысл высказывания. Включение прецедентных феноменов в дискурс на основе ассоциативной связи в стандартных для данной культуры ситуациях речевого общения, умение их использовать адекватно своим коммуникативным целям, равно как и способность правильно воспринимать и соотносить прецедентные феномены с коммуникативным замыслом говорящего, свидетельствуют о сформированности языковой личности. Во второй главе («Лингвометодические критерии отбора прецедентных феноменов на материале Русского Ассоциативного Тезауруса») рассматривается Русский Ассоциативный Тезаурус с точки зрения теории и принципов его построения, разрабатываются критерии отбора прецедентных феноменов на базе Русского Ассоциативного Тезауруса, проводится анализ результатов отбора прецедентных феноменов на его базе с учетом лексических минимумов, разработанных для унификации обучения иностранцев русскому речевому общению. Прецедентные феномены - это «зоны риска», где искажается смысл высказывания, возникает неясность, недопонимание и/или непонимание, нежелательный эмоциональный эффект, напряжение в речевом поведении и как следствие этого, - «коммуникативный сбой» при межкультурном общении. Одним из инструментов для определения этих «зон риска» является использование данных ассоциативных экспериментов. Результатом поэтапного и массового ассоциативного эксперимента с носителями языка является выявление ассоциативно-вербальной сети (ABC), которая
12 воплощает в себе, с одной стороны, язык, существуюпдий внутри одного носителя в виде языковой способности (индивидуально-присвоенная сеть), а с другой - язык, функционирующий между его носителями в коллективе (коллективная сеть). Точной моделью ABC является Русский Ассоциативный Тезаурус, насчитывающий около 3 миллионов единиц. Русский Ассоциативный Тезаурус характеризуется следующими свойствами. 1. Предречевая готовность, т.е. в тезаурусе зафиксированы типичные, легко воспроизводимые модели двух слов (стимул —»реакция), которые являются ядром будущего высказывания (например, ассоциативная пара туча —* мглою <фазвертывается» в высказывание (в нашем случае прецедентное) туча мглою небо кроет). 2. Гипертекстуальность, т.е. наличие нескольких путей распространения связей смыслонесущих элементов данного языка. Эти связи не являются связями внутри одного линейного текста; это связи элементов, принадлежащие разным текстам, например никто —*не забыт, никто-^не заметил потери бойца. Вышеперечисленные свойства позволили считать Русский Ассоциативный Тезаурус базой для отбора прецедентных феноменов. Выборка прецедентных феноменов производилась по следующим параметрам: - предмет классификации: триада «стимул, реакция и связь, возникающая между ними». По этому критерию нами производился отбор ассоциативных пар (S —*■ R), возникающих в результате связи, в основе которой лежит знание какого-либо прецедентого феномена («предсказуемая» связь). Мы различали три вида такой связи: фонетико-звуковую (молчать -* Молчалин); семантико-когнитивную (голос —>• Шаляпин); цитатную ассоциацию (город-»' сад); - частота реакции: фиксировались все имеющиеся ассоциации, включая единичные.
13 - Направление анализа - горизонтальное; в данном случае анализировались реакции, полученные от различных информантов и образующие ассоциативное поле Результаты выборки. Исходное количество слов-стимулов составило 2995 единиц (в нашем исследовании это лексические минимумы, разработанные для унификации обучения иностранцев русскому речевому общению ). В Русском Ассоциативном Тезаурусе нашли отражение 1813 (61,5% от общего количества) единицы. Из 1813 единиц на 1010 (33,7%) слов не обнаружено прецедентных высказываний или прецедентных имен в качестве реакции. 803 (26,8%) слова послужили стимулами для появления ассоциативных пар, которые образовались на основе «предсказуемой» ассоциативной связи. Наибольшее количество ассоциативньк пар (89,3%)) образовалось в результате ассоциативной связи - цитирования (ассоциация-штамп), приводящего в действие лингвистические когнитивные структуры. Из общего количества реакхщй, образовавшихся в результате ассоциативной связи «цитирования» (803 стимула, 1704 реакции, 1501 единица), прецедентые феномены (прецедентные высказывания и прецедентные имена) составили 341 единицу (244 слова-стимула - 8,1% от общего исходного количества). Остальной объем единиц (1106) составили пословицы и поговорки, которые не включены нами в разряд прецедентных феноменов, а также прецедентые феномены, источниками которых являются прецедентные тексты и прецедентные ситуации, не относящиеся к национально-прецедентным, например Синяя Борода, государство - это я! Обобщенные результаты отбора прецедентных феноменов представлены по следующей схеме: название прецедентной единицы/ тип прецедентной единицы/ тип источника (прецедентный текст, прецедентная ситуация)/ уровень значения (для прецедентного высказывания), дифференциальный Лексический минимум по русскому юыку как иностранному (I сертификационный уровень. Общее владение) Москва - Санкт-Петербург, ЦМО - МГУ, Златоуст, 2000 Пороговый уровень Русский язык т. 1. Повседневное общение. Иностранный «зык Совет Европы Пресс, 1996. С. 232-252.
14 признак (для прецедентного имени)/ название источника (прецедентный текст, прецедентная ситуауция). Жирным шрифтом выделены слова-стимулы. Отсутствие такого слова означает, что в основе ассоциативной пары лежит семантико-когнитивная ассоциация. Например: Арина Родионовна ЛШ/ПС/ 1)человек, знающий много сказок 2) няня/ няня А.С. Пушкина место встречи изменить нельзя /ПВ/ПТ/ поверхностное/ назв х/ф, реж. С.Говорухин, 1979 г. наш ответ Чемберлену/ПВ/ПТ/ поверхностное/, текст плаката, 1927 г. Шаляпин /ПИ/ПС/ характеристика по действию, человек, имеющий хороший голос/ знаменитый певец Ф.И.Шаляпин Количество прецедентных имен составило 38 единиц (10%); прецедентных высказываний - 319 единиц (90%i), из них прецедентных высказываний с поверхностнь»! уровнем значения - 225 единицы (70,5%), прецедентных высказываний с глубинным уровнем значения - 94 единицы (29,5%). Ядро источников прецедентных феноменов составили следующие прецедентные тексты и прецедентные ситуации: классическая литература (25%), фольклор (12%), старые песни (10,3%), лозунги (8,5%о), кинофильмы (7,3%), современные песни (6,1%), «исторические» прецедентные ситуации (5,7%), детская литература (4,5%), «современные» прецедентные ситуации (3,8%), авторские песни (3,5%), мультфильмы (3 %), названия произведений живописи и скульптуры (2,7%)), детские песни (1,1%»), другое (6,5%) В третьей главе - «Прецедентные феномены в содержании обучения иностранных учащихся» - описываются общие методические принципы включения прецедентных феноменов в процесс преподавания русского языка как иностранного, предлагается система упражнений, направленная на формирование языковых и коммуникативных навыков обучаемых.
15 Прецедентные феномены в силу своей природы (невыводимость общего значения прецедентного феномена из суммы значений компонентов) представляют большие трудности для иностранцев, создают предпосылки для коммуникативных неудач, а иногда и нарушают межкультурную коммуникацию. С целью выявления знакомства с прецедентными феноменами иностранцев, изучающих русский язык, был проведен пилотажный опрос иностранных преподавателей-русистов из Китая, Югославии, Черногории, Сербии, Венгрии, Польши, Египта (всего 200 человек). Опыт преподавательской работы опрашиваемых составил от 1 до 31 года. Результаты анкетирования свидетельствовали об объективной необходимости в предъявлении иностранным учащимся наиболее употребительных прецедентных феноменов с последующим объяснением их значения, свойственной им эмоциональной характеристики ситуаций употребления. В данной работе в качестве стимулов для ассоциативных реакций (S —> R) были использованы единицы порогового уровня, но основной объем работы относится к постпороговому уровню (продвинутому этапу обучения). Таким образом реализуется принцип концентризма и преемственности в обучении -усвоенные единицы предъявляются в другом контексте, в другой ситуации употребления, которая, в данном случае, является принадлежностью прагматикона русской языковой личности. Предъявление прецедентных феноменов в учебном процессе сопровождается последующим лингвокультурологическим комментарием. Цель этого комментария в нашем исследовании - раскрытие содержания прецедентного феномена, разъяснение смысла текста, в котором он употребляется, пояснение коннотаций, связанных с данным прецедентным феноменом или его источником, указание на способ включения прецедентного феномена в текст (ассоциативная пара S -> R).
16 Лингвокультурологический комментарий проводится в когнитивном и коммуникативном аспектах. Когнитивный аспект предполагает формирование познавательной потребности учащихся. Прецедентные феномены, наряду с лексикой и фразеологией участвуют, в создании языковой картины мира, отражают бытовые и культурные реалии русского лингвокультурного сообщества. Коммуникативный аспект предполагает не только снятие лексических трудностей и устранение смысловых барьеров, связанных с пониманием содержания высказывания, включающего прецедентный феномен, но и затрагивает как способы включения прецедентного феномена в процесс речевого общения (прецедентный феномен как ассоциативная реакция), так и его особенности стилистической и эмоционально-экпрессивной характеристики. Работа на уроке с прецедентными феноменами строится в зависимости от принятой нами классификации прецедентных феноменов - прецедентное имя/прецедентное высказывание. Однако для всех видов прецедентных феноменов характерны следующие шаги: 1) предъявление единицы, объяснение значения; 2) ознакомление с текстом-источником /описание ситуации-источника; 3) описание употребления прецедентного феномена в типовой ситуации. Например, прецедентное имя Арина Родионовна. Опираясь на следующие ассоциативные пары рассказать —* Арина Родионовна, бабушка -* Арина Родионовна, можно вывести «определение» Арины Родионовны - это женщина, знающая много сказок, историй и умеющая их рассказывать, а также няня, бабушка. Следующий шаг - рассказ об Арине Родионовне как конкретном историческом лице (прецедентное имя Арина Родионовна является означающим прецедентной ситуации - А.СПущкин и его няня). Далее следует предъявление учащимся «современного» контекста употребления данной единицы. В заключение предлагаются контрольные
17 (проверочные) упражнения, направленные как на узнавание и запоминание единицы (в России Ариной Родионовной называют - молодую, красивую женщину/- няню/- учительниг{у; Арина Родионовна - так говорят о человеке, который хорошо поет/ хорошо рассказывает сказки/хорошо готовит), так и на использование этой единицы в контексте (в интервью известный кинорежиссер Денис Евстигнеев сказал, что у него в окизни была своя Арина Родионовна. Он имел в виду, что в его ж:изни была - мачеха/ хорошая учительница/ няня). Работа с прецедентными высказываниями строится в зависимости от наличия уровней значения (поверхностного или глубинного уровня). Предъявление прецедентных высказываний направлено, в первую очередь, на запоминание и узнавание этих единиц, т.е. на развитие рецептивных видов речевой деятельности (чтения и аудирования). Для этого предлагаются следующие упражнения: 1. Сложите фразу {и/грустно/некому/скучно/и/подать/руку). 2. Закончите фразу (картина Репина, -не звали/не ждали/не знали). 3. Вставьте правильное слово (Л.Н. Толстой сказал, что глаза- души- окно/зеркало/дверь/ключ). При работе с ПВ с поверхностным уровнем значения внимание уделяется не только запоминанию этих единиц, но и тем ассоциативным связям, которые служат основой для формирования этого высказывания. Например, в прецедентном высказывании жив, курилка! «ключевым» словом является слово жив, оно формирует смысл высказывания и несет на себе основную смысловую нагрузку, второй компонент этого высказывания «асемантизирован», поэтому данное ПВ может быть адресовано любому человеку - курящему или некурящему. Для понимания ПВ с глубинным уровнем значения в сознании говорящего и слушающего активизируются и лингвистические когнитивные структуры, и феноменологические, поэтому привлечение текста/ситуации-источника в данном случае необходимо.
18 Использование прецедентных феноменов на уроках РКИ формирует положительную мотивацию в изучении русского языка, культуры России (возможно, студент захочет самостоятельно более подробно познакомиться с источниками ПФ - посмотреть кино, мультфильм, послушать песню, прочитать книгу), а также привносит в урок элемент игры, отдыха, смену видов деятельности, сопровождается позитивным эмоциональным компонентом, что также способствует формированию положительной мотивации на уроках. Во §2 третьей главы предложена разработка комплекса уроков, в котором рассматривается употребление прецедентных высказываний. Источниками данных прецедентных высказываний послужили прецедентные тексты и прецедентные ситуации советского периода (призывы, лозунги, цитаты из классиков маркизма-ленинизма, изречения государственных и политических лидеров). В Заключении обобщаются результаты исследования, делаются выводы и намечаются перспективы дальнейших исследований.
Основные положения диссертации отражены в следующих публикациях:
```
1. Использование высокочастотных и единичных ассоциаций при текстопорождении // Риторическая культура в современном обществе. Сб. тезисов. (IV международная конференция по риторике). - М.: ГосИРЯ им. А.СПушкина, 2000. С. 36-37.
2. Роль прецедентных феноменов речевого общения в обучении РКИ (по материалам русского ассоциативного тезауруса) // Пушкинские чтения-2002. Материалы конференции. - М.: ГосИРЯ им. А.С.Пушкина, 2003.С. 324-327.
19
3. К вопросу о прецедентных феноменах в речевом общении русской языковой личности // Понимание в коммуникации. Материалы научно-практической конференции. М.: МГГИИ, 2003 .С. 91-93.
4. Прецедентные феномены в речевом общении русской языковой личности: к вопросу их роли и места в преподавании РКИ // От слова к делу. Сборник докладов / X конгресс МАПРЯЛ (Санкт-Петербург - 2003). М.: ГосИРЯ им. А.СПушкина, 2003.С. 307-313.
5. Прецедентные феномены: к вопросу их роли и места в преподавании РКИ // X Международная научно-методическая конференция из цикла «Новое в теории и практике описания и преподавания русского языка»: Сб. докладов / Под общей ред. И.Л. Тетерева. Варшава, 2003. С. 246-250.
```
''Цель'' диссертационного исследования - определение роли и места прецедентных феноменов в структуре русской языковой личности, выявление того набора прецедентных феноменов, который может быть необходим для реального дискурса этой личности, а также разработка системы включения этих единиц в процесс преподавания русского языка как иностранного.
В соответствии с поставленной целью решаются следующие ''задачи'':
- определение роли и места прецедентных феноменов в структуре русской языковой личности;
- анализ сложившихся в современной лингвистике представлений о прецедентных феноменах, их характерных качеств и их функционирование в речевом общении русской языковой личности;
- разработка типологической классификации прецедентных феноменов на основании функционирования их в речи носителей языка;
- разработка параметров отбора прецедентных феноменов на базе Русского Ассоциативного Тезауруса;
- проведение анализа и классификации выявленных прецедентных феноменов;
- разработка методического описания прецедентных феноменов в учебных целях и системы их включения в процесс преподавания русского языка как иностранного.
''Научная новизна'' исследования заключается в том, что отбор прецедентных феноменов выполнен с учетом лексических минимумов, разработанных для унификации обучения иностранцев русскому речевому общению и опирается на научно обоснованную лингвистическую базу -ассоциативно-вербальную сеть носителей русского языка, зафиксированную
в «Русском Ассоциативном Тезаурусе»'. В работе также предложена система включения прецедентных феноменов в учебный процесс с учетом ассоциативного способа их введения.
''Предмет'' исследования - прецедентные феномены как структурные компоненты ассоциативно- вербальной сети русской языковой личности и лингвокультурологические основы методики работы с прецедентными феноменами в процессе обучения РКИ.
''Объект'' диссертационного исследования - прецедентные феномены, отобранные методом сплошной выборки из Русского Ассоциативного Тезауруса с учетом лексического минимума повседневного общения.
''Гипотеза'' данного исследования заключается в следующем: особенности отбора прецедентных феноменов с использованием данных Русского Ассоциативного Тезауруса с опорой на единицы лексического минимума повседневного общения в качестве стимулов позволяют выявить тот минимальный корпус прецедентных феноменов, который может быть реализован в дискурсе русской языковой личности и изучение которого в процессе преподавания русского языка как иностранного поможет сузить круг «коммуникативных сбоев» в межкультурном речевом общении.
''Теоретическая значимость'': анализ материала расширяет представление о роли и месте прецедентных феноменов в ассоциативно-вербальной сети русской языковой личности и особенностях их реализации в ситуации межкультурного общения.
''Практическая значимость'' настоящего исследования: материалы и выводы работы могут быть использованы в обучении иностранных учащихся реальному русскому речевому общению, т.к. используемые в настоящее время в учебном процессе материалы не дают достаточно полного представления о корпусе прецедентных феноменов, использующихся в дискурсе русской языковой личности
''Положения, выносимые на защиту.''
1. Прецедентные феномены являются компонентами речевого общения русской языковой личности, их незнание или неправильное употребление и восприятие приводит к нарушению взаимопонимания в процессе межкультурной коммуникации.
2. Критерии отбора прецедентных феноменов, выдвинутые с учетом лексической минимизации материала, позволяют с достаточной степенью точности очертить круг прецедентных тестов и прецедентных ситуаций, необходимых для обучения иностранных учащихся реальному русскому речевому общению.
3. Методическая задача выбора путей и способов включения прецедентных феноменов в содержание обучения русскому языку как иностранному требует учета как специфики отдельных видов прецедентных феноменов, так и национально-культурной специфики организации собственно русского речевого общения.
Апробация работы. Основные положения диссертации обсуждались на IV международной конференции по риторике (Москва, 2000), на научно-методической конференции «Пушкинские чтения» (Москва, 2002), на международной междисциплинарной конференции «Понимание в коммуникации» (Москва, 2003). Материалы диссертационного исследования использовались автором на практических @@color:red; занятиях по русскому языку с иностранными студентами. @@
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
sui generis - единственный в своём роде
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
<html><body>
<!--StartFragment--><img class="MMImage MMImage_origin" src="http://ok-t.ru/studopediaru/baza7/1445243361172.files/image002.jpg"><!--EndFragment-->
</body>
</html>
file:///D:/BI/dis_kugurakova_vv.pdf
<pre style="box-sizing: border-box; font-family: SFMono-Regular, Consolas, "Liberation Mono", Menlo, Courier, monospace; font-size: 15px; display: block; margin-top: 1em; margin-bottom: 1em; word-break: normal; overflow-wrap: break-word; white-space: pre-wrap; background-color: rgb(245, 245, 245); border: 1px solid rgb(204, 204, 204); padding: 0px 3px 2px; border-radius: 3px; color: rgb(51, 51, 51); font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration-style: initial; text-decoration-color: initial;"><code style="box-sizing: border-box; font-family: SFMono-Regular, Consolas, "Liberation Mono", Menlo, Courier, monospace; font-size: 1em; color: inherit; background-color: inherit; border: none; white-space: pre-wrap; padding: 0px; border-radius: 3px;">))</code></pre>
<span style="color: rgb(51, 51, 51); font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol"; font-size: 15px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); text-decoration-style: initial; text-decoration-color: initial; display: inline !important; float: none;">личност</span>
.Таким образом, понятие «интернационализация профессиональной подготовки специалиста» задает генеральную стратегию педагогической деятельности, которую в обобщенном виде можно определить как формирование лингвосоциокогнитивных основ профессиональной культуры специалиста нового поколения. С нашей точки зрения, это отвечает целевым установкам высшего образования, основную задачу которого современные исследователи видят в создании основ профессиональной культуры личности.
<center>'' 1.4.2. Стратегические вопросы развития профессиональной личности средствами предмета «иностранный язык»''</center>
Реалии XXI в. привели общество к осознанию необходимости обеспечить полилингвальное основание подготовки специалистов нового поколения - способных свободно общаться в своих «интеркультурах», конструктивно взаимодействовать и сотрудничать с иностранными коллегами. Вместе с тем сегодня складывается впечатление, что этот социальный заказ не получил необходимых для своей реализации лингводидактического «разрешения» и методической конкретизации. До настоящего времени отсутствует даже общее понимание того, как обеспечить формирование такого специалиста в условиях неязыкового вуза: где изыскать ресурсы учебного времени, как мотивировать студентов к освоению нескольких ИЯ и при этом обеспечить высокие стандарты обучения. Уровень владения выпускниками неязыкового вуза даже одним И Я нередко оказывается недостаточным для эффективной профессиональной коммуникации в «межкультурном измерении», между тем в условиях интенсивно протекающих процессов глобализации именно такой формат общения оказывается все более востребованным профессионалами; происходит осознание того, что язык как инструмент познания не может не влиять на формирование профессионального сознания личности. Тем не менее в условиях ограниченного объема учебного времени, отводимого на освоение ИЯ, многие вузы даже не ставят перед собой задачи сформировать у студентов готовность к межкультурному общению, тем более к общению на полилингвальном основании. С нашей точки зрения, такое положение дел в современном мире является неприемлемым и требует обоснованного пересмотра в соответствии с актуальным социальным заказом.
Определяя стратегию развития профессиональной личности средствами предмета «иностранный язык», мы стремились активно задействовать потенциал философии образования, психологии, психолингвистики, лингводидактики и методики преподавания ИЯ, что позволяет многократно усилить действие всех ресурсов и благодаря их активному системному взаимодействию получить значительный синергетический эффект, в том числе решить и те задачи, которые стоят перед исследователями «привлеченных» наук. Как отмечалось выше, для решения основной задачи профессионального образования, состоящей в том,
Юрьева А.В. [[Лингвориторический идеал как фактор становления профессиональной языковой личности будущего учителя]]: автореф. дис. … канд. пед. наук. – Сочи, 2002. – 22 с.
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=1022408]]
автореферат в вивальди
[ext[ссылка|https://vivaldi.nlr.ru/bd000145894/view/?#page=1]] физ 24 с. по карточке 22 с.
* [ext[ссылка aD|https://yadi.sk/i/xK2ocPtD8hfNtA]]
* [ext[ссылка aD odt|https://yadi.sk/i/G09VYJG6WtAR1A]]
[[yuav_ar 1]]
---
{{yuav_ar_s3_1}} *[[yuav_ar_s3_1]]
{{yuav_ar_s3_2}}*[[yuav_ar_s3_2]]
---
{{yuav_ar_s4_1}}*[[yuav_ar_s4_1]]
{{yuav_ar_s4_2}}*[[yuav_ar_s4_2]]
---
{{yuav_ar_s4_3_0}}*[[yuav_ar_s4_3_0]]
{{yuav_ar_s4_3_1}}*[[yuav_ar_s4_3_1]]
{{yuav_ar_s4_3_2}}*[[yuav_ar_s4_3_2]]
{{yuav_ar_s4_3_3}}*[[yuav_ar_s4_3_3]]
{{yuav_ar_s4_3_4}}*[[yuav_ar_s4_3_4]]
{ {yuav_ar_s4_3}}*[[yuav_ar_s4_3]]
{{yuav_ar_s4_4}}*[[yuav_ar_s4_4]]
---
{{yuav_ar_s6_4_0}}*[[yuav_ar_s6_4_0]]
{{yuav_ar_s6_4_1}}*[[yuav_ar_s6_4_1]]
{{yuav_ar_s6_4_2}}*[[yuav_ar_s6_4_2]]
{{yuav_ar_s6_4_3}}*[[yuav_ar_s6_4_3]]
---
{{yuav_ar_s8_2_0}}*[[yuav_ar_s8_2_0]]
{{yuav_ar_s8_2_1}}*[[yuav_ar_s8_2_1]]
{{yuav_ar_s8_2_2}}*[[yuav_ar_s8_2_2]]
{{yuav_ar_s8_2_3}}*[[yuav_ar_s8_2_3]]
{{yuav_ar_s8_2_4}}*[[yuav_ar_s8_2_4]]
{ {yuav_ar_s8_2}}*[[yuav_ar_s8_2]]
---
{{yuav_ar_s11_1}}*[[yuav_ar_s11_1]]
{{yuav_ar_s11_2}}*[[yuav_ar_s11_2]]
{{yuav_ar_s11_3}}*[[yuav_ar_s11_3]]
---
{{yuav_ar_s12_1}}*[[yuav_ar_s12_1]]
{{yuav_ar_s12_2}}*[[yuav_ar_s12_2]]
---
{{yuav_ar_s13_3}}*[[yuav_ar_s13_3]]
Юрьева А.В. [[Лингвориторический идеал как фактор становления профессиональной языковой личности будущего учителя]]: автореф. дис. … канд. пед. наук. – Сочи, 2002. – 22 с.
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=1022408]]*
автореферат в вивальди
[ext[ссылка|https://vivaldi.nlr.ru/bd000145894/view/?#page=1]] физ 24 с. по карточке 22 с.
* [ext[ссылка aD|https://yadi.sk/i/xK2ocPtD8hfNtA]]* [ext[ссылка aD odt|https://yadi.sk/i/G09VYJG6WtAR1A]]
[[yuav_ar]]*[[yuav_ar ps]]
---
!! ''Лингвориторический идеал как фактор становления профессиональной языковой личности будущего учителя''
''Цель предпринятого исследования'' - теоретически обосновать, спроектировать и экспериментально апробировать процесс становления профессиональной языковой личности будущего учителя с опорой на категорию ЛР идеала
''Предмет исследования'' - процесс формирования готовности самосовершенствованию будущего учителя на основе профессионально ориентированного ЛP идеала
''Объектом исследования'' является теория и практика формирования речемыслительной культуры студентов педагогического вуза,
<<<
PrimYu
{ {yuav_ar_s4_2}}*{ {yuav_ar_s4_3_0}}*{ {yuav_ar_s4_3_1}}*{ {yuav_ar_s4_3_2}}*
{ {yuav_ar_s4_3_3}}
<<<
---
*[[На защиту|yuav_ar nzv]]
*[[Научная новизна|yuav_ar_nn]]
---
*[[научная новизна |yuav_ar 1 nn]]
*[[на защиту выносятся|yuav_ar 1 nzv]]
*[[гипотеза |yuav_ar 1 gipoteza]]
*[[задачи |yuav_ar 1 zadachi]]
*[[теоретическая значимость|yuav_ar 1 tzi]]
*[[практическая значимость|yuav_ar 1 pzi]]
*[[материал для размышления|yuav_ar_mdr]]
{{yuav_ar_s6_4_0}}*[[yuav_ar_s6_4_0]]
{{yuav_ar_s6_4_1}}*[[yuav_ar_s6_4_1]]
{{yuav_ar_s6_4_2}}*[[yuav_ar_s6_4_2]]
{{yuav_ar_s6_4_3}}*[[yuav_ar_s6_4_3]]
{{yuav_ar_s8_2_0}}
{{yuav_ar_s8_2_1}}
{{yuav_ar_s8_2_2}}
{{yuav_ar_s8_2_3}}
{{yuav_ar_s8_2_4}}
''Практическая значимость'' исследования определяется тем, что полученные результаты могут быть использованы для совершенствования образовательного процесса в педагогических вузах, при проектировании системы воспитательной работы, спецкурсов и спецсеминаров, направленных на формирование обшей и профессиональной культуры будущего учителя. Предложены для включения в ГОС ВПО необходимые дополнительные формулировки (в области требований к выпускнику педагогического вуза, содержательных минимумов соответствующих дисциплин). Разработаны программа и дидактические материалы факультативного курса, позволяющего формировать готовность к речевому самосовершенствованию у студентов педвуза, координировать аспект речемыслительной культуры будущего педагога, представленный в рамках различных дисциплин общекультурной, психолого-педагогической, собственно филологической подготовки.
''Теоретическая значимость'' исследования заключается в том. что в категориальный аппарат теории профессионального становления будущего учителя введена категория ЛР идеала как базового компонента культурно-образовательного пространства, раскрыта ее сущность и функции в качестве проектной основы процесса профессиональной подготовки в педагогическом вузе; сформулировано определение готовности к речевому самосовершенствованию, выделены ее компоненты и критерии сформированности; наполнены конкретным содержанием целе-функциональная, содержательная, структурно-логическая, инструментально-технологическая, организационно-управленческая проектные характеристики процесса формирования данной готовности на основе профессионально ориентированного ЛР идеала.
стр 6_5
Поставленная [[цель|yuav_ar_s4_3_0]] обусловила следующие задачи:
{{yuav_ar_s4_3_1}}
{{yuav_ar_s4_3_2}}
{{yuav_ar_s4_3_3}}
{{yuav_ar_s4_3_4}}
стр. 4
Юрьева А.В. [[Лингвориторический идеал как фактор становления профессиональной языковой личности будущего учителя]]: автореф. дис. … канд. пед. наук. – Сочи, 2002. – 22 с.
[ext[ссылка|https://new-disser.ru/product_info.php?products_id=1022408]]*
автореферат в вивальди
[ext[ссылка|https://vivaldi.nlr.ru/bd000145894/view/?#page=1]] физ 24 с. по карточке 22 с.
* [ext[ссылка aD|https://yadi.sk/i/xK2ocPtD8hfNtA]]* [ext[ссылка aD odt|https://yadi.sk/i/G09VYJG6WtAR1A]]
[[yuav_ar]]*[[yuav_ar ps]]
---
{ {yuav_ar_s6}}*[[yuav_ar_s6]]
{ {yuav_ar_s10}}*[[yuav_ar_s10]]
{ {yuav_ar_s11}}*[[yuav_ar_s11]]
!! Из диссертации
61
1.3. Лингвориторический идеал педагога как проектная основа
становления профессиональной языковой личности
будущего учителя
В данном решались следующие задачи:
- рассмотреть понятия «языковая личность», «профессиональная
языковая личность» и опыт их моделирования, предложить свое определение и модель профессиональной языковой личности учителя с учетом категории ЛР идеала;
- обосновать на основе иерархиезации функций учителя (коммуни-
кативная функция как базовая) необходимость введения в теорию про-
фессионального педагогического образования категории ЛР идеала;
- показать место и роль профессионально ориентированного ЛР
идеала в структуре образовательно-воспитательного процесса педагогического вуза, детализировать его функции во взаимосвязи ведущих
аспектов профессиональной деятельности учителя.
Мы предприняли моделирование профессиональной языковой личности учителя и профессиональной модификации ЛР идеала - ЛP идеала
педагога. ЛР аспект профессиональной подготовки будущего учителя
заключается в необходимости целенаправленного развития его потенциала как профессиональной языковой личности, способной обеспечить качественно новый уровень образовательно-воспитательного процесса в общеобразовательной школе.
Роль ЛР идеала в становлении личности будущего учителя обусловлена тем, что педагогика, наряду с журналистикой, юриспруденцией,
дипломатией, администрированием, социальной работой и рядом других профессиональных областей относится к «зонам повышенной речевой ответственности» [Михальская 1096 а, с. 40], соответственно педагог является профессиональной языковой личностью [Ворожбитова
199Х а, с. 28). «Для специалиста в каждой из данных областей речь вы-
62
ступает профессиональным лннгвориторическим инструментом для
восприятия и продуцирования экстралингвистического предметно-
специального содержания, которое базируется на общекультурной и
психолого-педагогической подготовке, опираясь также на ее медико-
биологические знания, физическую подготовку» [Там же].
Подчеркнем, что статус профессиональной (не в чисто номинальном,
а в сущностном смысле) в нашей концепции языковая личность полу-
чает именно при условии сознательного овладения ею актуальным для
данного культурно-образовательного пространства ЛР идеалом и его
творческой реализации в речевых событиях, образующих ткань ее по-
вседневной профессиональной деятельности.
В качестве теоретических предпосылок кратко осветим опыт моделирования языковой личности в антропоцентрической лингвистике.
Данное направление активно разрабатывается в отечественном языкознании в 80-90-е гг. XX в. По определению Ю Н. Караулова, языковая
личность - «совокупность способностей и характеристик человека,
обусловливающих создание и восприятие им речевых произведений
(текстов), которые различаются: а) степенью структурно-языковой
сложности; б) глубиной и точностью отражения действительности; в)
определенной целевой направленностью. В этом определении соединены способности человека с особенностями порождаемых им текстов»
[Караулов 1989, с. 3].
Наиболее значимыми представляются модели языковой личности,
разработанные Г.И. Богиным, Ю.Н. Карауловым, И.Я. Чернухиной,
Л.Л. Ворожбитовой. Так, Г.И. Бог ин предложил модель языковой личности, в которой выделяется пять уровней владения языком: I) уровень
правильности, предполагающий знание достаточно большого лексического запаса и основных строевых закономерностей языка и позволяю
щий тем самым строить высказывания и продуцировать тексты в соот-
63
ветствии с правилами данного языка; 2) уровень интериоризации,
включающий умения реализовать и воспринимать высказывания в соответствии с внутренним планом речевого поступка; 3) уровень насыщенности. выделяемый с точки зрения отраженности в речи всего разнообразия. всего богатства выразительных средств языка в области фонетики, грамматики и лексики; 4) уровень адекватного выбора, оцениваемый с точки зрения соответствия используемых в высказывании
языковых средств сфере общения, коммуникативной ситуации и ролям
коммуникантов; 5) уровень адекватного синтеза, учитывающий соответствие порожденного личностью текста всему комплексу содержательных и коммуникативных задач, положенных в его основу.
Данную модель Г.И. Богин называет лингводидактической. Она
представляет собой трехмерное образование на пересечении трех осей -
уровней языковой структуры (фонетика, грамматика, лексика), четырех
видов речевой деятельности и вышеперечисленных уровней владения
языком [Богин 1984].
Согласно модели Ю.Н. Караулова, по определению автора - «методической», в структуре языковой личности выделяются следующие
уровни: - нулевой, вербально-семантический, или ассоциативно-
вербальная сеть, единицы которого - лексемы, грамматические конструкции; - первый, лингво-когнитивный, или тезаурус, единицы которого - понятия, идеи, концепты; - второй, мотивационный. или прагматикой, единицы которого - деятельностно-коммуникативные потребности
[Караулов 1987].
Лингвориторическая модель языковой личности, предложенная Л.Л.
Ворожбитовой, построена на пересечении концепций Г.И. Богина и
Ю.Н. Караулова, в которые интегрированы риторические категории инвенции (изобретения мысли) диспозиции (расположения изобретенного). элокуции (языкового выражения) как этапов универсального идео-
64
речевого цикла «от мысли к слову». Она представлена в виде куба, первая грань которого - «дробь», в числителе которой - уровни языковой
структуры (фонетика, лексика, грамматика и др.), в знаменателе -
уровни структуры языковой личности (ассоциативно-вербальная сеть,
лингвокогнитивный, мотивационный уровни); вторая грань - «дробь»,
в числителе которой - виды речевой деятельности (слушание, говоре-
ние, чтение, письмо), в знаменателе - психологические этапы деятель-
ности - ориентировка, планирование, реализация, контроль (Д.Л. Леонтьев); третья грань - механизмы реализации лингвориторической компетенции (Ворожбитова 1995].
В «идеальной модели профессиональной языковой личности» той
или иной специальности Л.Л. Ворожбитова выделяет следующие уровни: «I) экстралингвистическая эрудиция: - общекультурная;- психолого-педагогическая; - медико-биологическая; - предметно-специальная;
2) интегральная лингвориторическая компетенция как механизм вербализации зкстралингвистического содержания в профессионально
ориентированной внутренней и внешней речи» [Ворожбитова 1998 а, с.
28|. Па теоретической базе антропоцентрической лингвистики автор
предлагает строить «сводную профессиограмму специалиста - выпускника вуза, в том числе педагогического, под условным названием
«Учитель-предметник (воспитатель, юрист, менеджер и др.) как профессиональная языковая личность» [Там же, с. 29].
«В качестве «идеальной модели» профессиональной языковой личности... выступает сильная языковая личность демократического типа,
обладающая этической ответственностью и специальной, общекультурной, психолого-педагогической и медико-биологической компетенцией. ... Языковую личность делает сильной обладание высокой лингвориторической компетенцией, позволяющей эффективно осуществлять мыслеречевую деятельность в продуктивном и рецептивном реги-
65
страх, монологическом и диалогическом режимах, устной и письменной формах. Отличительными чертами языковой личности демократического типа являются: 1) стремление к двусторонним субъект-
субъектным отношениям с адресатом, отказ от авторитарного стиля
речевого повеления, который отличают субъект-объектные отношения;
2) стремление к достижению консенсуса (коммуникативного согласия),
к конструктивному диалогу', широкой дискуссии, цель которых - принятие взаимоприемлемых решений, направленных на общее благо; 3)
стремление к коммуникативному консонансу в результате гармонизирующего диалога, на основе учета как общих психологических закономерностей общения, так и индивидуальных особенностей конкретного адресата речи (Там же, с. 32].
Как видим, при всей значимости данной концепции для нашего исследования в ней не задействована категория ЛР идеала. Между тем.
как было сказано выше, именно его сознательное усвоение и реализация являются, на наш взгляд, онтологической сущностью и системообразующей константой для признания языковой личности профессиональной - не в номинальном, а в сущностном плане. Прежде чем представить нашу модель учителя как профессиональной языковой личности и модель ЛР идеала педагога, проанализируем ведущие аспекты
деятельности учителя с целью показать ведущую роль коммуникативного компонента, речемыслительной культуры.
Структурный анализ содержания профессиональной деятельности
учителя показывает, что она складывается из ряда сложно переплетенных между собой профессионально-педагогических функций. В научной литературе выделены такие функции, как гностическая, конструктивная, коммуникативная, информационная, организационная [Кузьмина 1967]; к ним добавляется проектировочная функция [Безрукова 1996,
с. 159]. Мри поэтапном рассмотрении деятельности учителя к подгото-
66
вительному этапу относят функции целеполагания, диагностическую,
прогностическую, проективную, планирования; к этапу реализации -
информационную, организационную, оценочную, контрольную, коррекционнчю; к завершающему этапу - аналитическую [Подласый 1999
а, с. 234]. В ряде работ предложена развернутая структура профессионально-педагогической деятельности [Васильев 1978, Щербаков 1981 и
др.]. в которой выделены следующие функции: информационная, развивающая, ориентационная, мобилизационная, конструктивная, коммуникативная, организационная и исследовательская.
Представляется правомерным утверждение, что коммуникативная
функция не может рассматриваться как просто рядоположная, однопорядковая но отношению к другим. Не случайно «риторический треугольник» Аристотеля (говорящий - предмет речи - слушающий),
предстающий в современной лингвистике как «коммуникативный
круг» (P.O. Якобсон. В.Н. Головин. К.А. Долинин и др.), и классический «дидактический треугольник» (учитель - предмет преподавания -
учащийся) имеют одну и ту же структуру и соотносятся как родовое и
видовое понятия. Образовательно-воспитательный процесс есть вид
коммуникативного процесса, специфика которого определяется специфическими целями, задачами, условиями протекания, социальной ролью участников коммуникации. Соответственно можно утверждать, что
коммуникативная функция является более общей, базисной по отношению ко всем остальным как более частным, носящим в той или иной
степени производный характер. Далее схемы коммуникации и педагогического процесса представлены для их наглядного сопоставления
(рис. 2,3).
[img[yuav_r2dis.png]]
Рис. 2. Схема коммуникации («коммуникативный круг»)
Прагматическое функционирование языка и речи опирается на объектное и субъектное и занимает ведущее место в коммуникативном
процессе [Березин, Головин 1979, с. 263]. Графическая модель объектного, субъектного и прагматического функционирования языка в речи и
представляет собой коммуникативный круг, по которому движутся знаки языка и выражаемая построенными из них речевыми цепями информация. На каждом шаге коммуникативного круга могут возникнуть помехи, «шумы», препятствующие взаимопониманию [Головин 1988, с. 30-31]
[img[yuav_r3dis.png]]
Рис. 3. Дидактический треугольник
68
Дидактический треугольник, как показано на рис. 3, включает в себя
предмет преподавания, обучаемого и обучающего, процессом взаимодействия которых обусловлены результаты преподавания. Соответственно будущий учитель в процессе профессиональной подготовки дол-
жен приобрести методическую компетенцию в следующих областях:
- содержание обучения, т.е. материал, который изучается; знания,
умения и навыки, которыми должны овладеть учащиеся;
- деятельность учителя по отбору и подаче материала учащимся, по
организации их учебного труда, по развитию их личности, по выявлению их знаний и умений;
- деятельность обучающихся по усвоению знаний, их творческий
труд по применению знаний, выработке умений и навыков;
-результаты преподавания, пути их диагностики и коррекции [см.:
Начальное лингвориторическое образование 1999, с. 4].
При сопоставлении схем наглядно выявляется основополагающая
роль коммуникативной функции в образовательно-воспитательном
процессе, т.к. в классическом варианте (объяснительно-
иллюстративный метод) учитель является адресантом, учащийся - адресатом. предмет преподавания - предметом речевой деятельности (говорения. слушания, чтения, письма). При использовании других методов обучения данная модель частично трансформируется, однако не
меняет своей коммуникативной сути. Так, при проблемном обучении
предметом речи уже не является само новое знание, которое учащиеся
должны добыть самостоятельно в процессе «квазииследовательской
деятельности» (В.В. Давыдов). Однако таковым становятся условия задачи. которую невозможно решить при наличном уровне знаний; проблема. подлежащая формулированию и анализу; возможные направления ее решения.
69
На основе трактовки образовательно-воспитательного процесса как
особого вила межличностной коммуникации нами была предпринята
иерархизация функций учителя в профессиональной педагогической
деятельности. При этом мы остановились на перечне профессиональных функций учителя, выделяемых большинством исследователей, т.е.
вычленили своего рода инвариантное ядро, рассматривая остальные
функции как разного уровня модификации данных базовых функций
(коммуникативной, гностической, конструктивной, информационной,
организационной). Однако если обычно коммуникативная функция
трактуется узко - лишь как организации общения со школьниками как
такового, как бы «обрамляющего» учебный процесс, и в данном перечне занимает 3-4 место, то в нашей концепции она понимается широко -
как базовая функция, образующая саму ткань образовательно-
воспитательного процесса. В результате получаем следующую иерархию:
1. Коммуникативная функция как базовая в профессиональной деятельности учителя.
2. Функции, производные от коммуникативной и обусловленные
спецификой той или иной стороны образовательно-воспитательного
процесса: 2.1 - гностическая; 2.2 - конструктивная; 2.3 - информационная; 2.4 - организационная и др.
Квалифицируя в силу ее специфики коммуникативную функцию в
качестве базовой, пронизывающей процесс обучения и воспитания как
некий инвариантный стержень, остальные функции мы определяем
именно как производные от коммуникативной, фиксируя внимание на
ее специфическом преломлении в каждом случае.
Роль коммуникативной функции учителя как основополагающей,
обеспечивающей его профессиональную деятельность является безусловной. Приведем лишь несколько авторитетных высказываний, выде-
70
лив курсивом интересующий нас аспект: «Для педагогического работ-
ника искусство общения является важнейшей профессиональной чер-
той, ибо г лавным средством реализации обучения и воспитания высту-
пает коммуникация. И следовательно, от уровня развития у учителя
или руководителя школы коммуникативных способностей во многом
зависит эффективность их работы» [Ребус 1993, с. 3]; «Профессия учи-
теля относится к числу коммуникативных, поэтому выпускник педа-
гогического вуза должен свободно владеть речью, умением общаться,
взаимодействовать с аудиторией (и в определенных случаях воздейст-
вовать на нее). Педагогическая риторика должна заложить основы про-
фессиональной коммуникативной компетентности учителя, что пред-
полагает формирование готовности и способностей решать множество
разнообразных коммуникативных задач, возникающих в учебно-
воспитательном процессе» [Риторика. Культура речи учителя... 1998, с.
3]; «Педагогическое общение выступает как одно из главных средств
педагогического воздействия. В процессе общения педагог а и ученика
не только реализуются функции обучения и воспитания, но и решаются
другие, не менее важные педагогические задачи» [Кан-Калик 1987, с.
12]. «Коммуникативная функция как обязанность выражается в уста-
новлении свячен и отношений педагога с учащимися, их родителями,
своими коллегами, способствующих достижению цели» [Безрукова
1996, с. 159].
Для иллюстрации «производности» других функций учительской
деятельности охарактеризуем вкратце информационную функцию, ко-
торая предстает как коммуникативно-когнитивная. Ее роль обусловле-
на тем, что одной из наиболее важных задач образовательно-
воспитательного процесса и работы учителя является формирование у
учащихся системы знаний. Учитель является главным источником
учебной информации для обучаемых. Связь информационной функции
71
учителя с коммуникативной, с ЛР идеалом заключается в том, что при
осуществлении процесса передачи учебной информации он оказывает
существенное влияние на дидактические способы и приемы процесса
передачи учебной информации, усиливает его логические составляю-
щие, оптимизирует речевую коммуникацию педагога, органически со-
четая последние достижения риторики и лингвистики. Все это оказыва-
ет безусловно положительное влияние на продуктивность информаци-
онной деятельности учителя.
Очевидно, что введение в мировоззренчески-профессиональную
сферу учителя категории ЛР идеала должно играть значительную роль
в успешном выполнении педагогом коммуникативной функции в плане
ее обогащения, подъема на качественно новый уровень осознания, без
которого подлинно эффективное педагогическое воздействие на совре-
менном этапе становится невозможным. Формирование у будущего
учителя готовности к самопроектированию в концептуальных рамках и
критериях ЛР идеала в наибольшей степени может способствовать аде-
кватному педагогическому общению. Ориентация учителя на эти кри-
терии в повседневной профессиональной коммуникации способствует
эффективному решению как образовательных так и воспитательных за-
дач. Напротив, систематическое нарушений канонов, норм и требова-
ний ЛР идеала резко снижают качество образовательно-
воспитательного процесса и являются серьезнейшим тормозом обнов-
ления и оптимизации всей системы школьного образования. ЛР идеал,
актуальный для данного культурно-образовательного пространства,
реализуемый в повседневной профессиональной деятельности учителя,
трансформируется в ЛР идеал педагога (см. рис. 4). При разработке
собственной модели профессиональной языковой личности учителя на
категориальной основе ЛР идеала мы соответствующим образом
трансформировали модель Л.Л. Ворожбитовой. Как было показано в
72
предыдущем параграфе, идеальный учитель в силу своей профессиональной специфики выступает как субъект культурно-образовательного
пространства, ориентирующийся на современный отечественный ЛР
идеал педагога, реализующий его в повседневных речевых событиях и
воспроизводящий в новых поколениях языковых личностей (см. рис. 5).
[img[yuav_r5dis.png]]
Рис. 5. Модель учителя как профессиональной языковой личности
Модель ЛР идеала педагога была построена нами с учетом проанализированных во втором параграфе работ, в которых выделены личностные качества, необходимые учителю, и коммуникативные качества
педагогической речи. Будучи пропущены сквозь призму зтосного, логосного и пафосного аспектов ЛР идеала, качества речемыслительной
культуры, характеризующие ЛР идеал педагога, распределены нами на
две группы: качества учителя как профессиональной языковой личности и коммуникативные качества педагогической речи (см. табл. I).
73
[img[yuav_tab1dis.png]]
74
ЛР идеал педагога с необходимостью становится той концептуально-
мировозренческой призмой, сквозь которую должна осуществляться
речевая деятельность «идеального учителя» и, соответственно, стремящегося к идеалу, профессионально совершенствующегося во всех сферах его коммуникации (см. рис. 6).
[img[yuav_r6dis.png]]
Рис. 6. Основные сферы реализации ЛР идеала педагога в процессе
профессиональной коммуникации
Таким образом, модель учителя как профессиональной языковой
личности «в разрезе», с учетом представленных на рис. 6 сфер приложения профессиональной речевой деятельности, может быть представлена следующим образом (см. рис. 7).
75
[img[yuav_r7dis.png]]
Рис 7 Трансформация ЛР идеала в профессиональных функциях
учителя в ЛР идеал педагога
76
С позиций «тезаурусно-дидакгичсского моделирования процесса
обучения» (Дмитриев 1996] процесс обучающей коммуникации - обмен
сообщениями между носителями тезаурусов. Тезаурус расматривается
в дидактике как объем знаний, умений и способностей человека, реализуемых под влиянием информационных потребностей, познавательных,
преобразовательных, оценочных установок, причем не как «база знании», а как живое знание субъекта. Это в той или иной степени вербализованная система знаний, смыслов, ценностей, определяющая бытие
человека. Сеть отношений и связей в тезаурусно-знаковых системах
можно представить как отношения репрезентации, интерпретации,
обоснования, конструктивно-генетические и др. (В частности, перестройку процесса обучения в вузе С.В. Дмитриев усматривает в обеспечении трансляции научной и информации в личностные знания студентов).
Таким образом, можно констатировать выход педагогики в область
антропоцентрической лингвистики, т.к. тезаурус языковой личности
образует лингво-когнитивный уровень ее структуры. В процессе коммуникации, в том числе обучающей, происходит специальным образом
организованное взаимодействие между языковой личностью1 (учителем) и языковой личностью2 (обучающимся). При рассмотрении про-
цесса трансформации «мыслеречи» отправителя сообщения в «рече-
мысль» его получателя следует учитывать сложное взаимодействие в
сознании языковой личности2 встречных процессов - рецептивно-
зеркального отражения этапов идеоречевого цикла и конденсирований*
свернутой имитации мыслеречевого процесса языковой личности1. Все
типы информационных новообразований в структуре языковой лично-
сти2 могу г быть квалифицированы как «общедискурсивная рема (новое)» (Ворожбитова 2000, с. 24-25).
77
В ходе коммуникации с обучающимися в образовательно-
воспитательном процессе выделенные нами качества речемыслитель-
ной культуры, образующие ЛР идеал педагога, резонируют с соответствующими потенциальными или находящимися на начальной стадии
развития качествами субъектов учения. В межличностном поле коммуникативного взаимодействия, обеспечивающем зону ближайшего развития школьника (Л.С. Выготский), его соответствующие качества активно развиваются, становясь формирующими компонентами и детерминантами становления и развития языковой личности учащегося. Таким образом через учителя как «трансформатор» культурно-образовательного пространства осуществляются этнокультурно-идентифицирующая, образовательно-воспитательная, ценностно-мировоззренческая, личностно-самопроектировочная и др. функции ЛР
идеала в его этосном, логосном и пафосном аспектах (рис. 8-10):
[img[yuav_r8dis.png]]
Рис. 8. Реализация этосного аспекта ЛР идеала педагога в коммуникативное взаимодействии с обучающимся (БЛАГО- ДОБРО)
78
[img[yuav_r9dis.png]]
Рис. 9 Реализация логосного аспекта ЛР идеала педагога в коммуникативном взаимодействии с обучающимся (МЫСЛЬ - ИСТИНА)
[img[yuav_r10dis.png]]
Рис. 10 Реализация пафосного аспекта ЛР идеала педагога в коммуникативном взаимодействии с обучающимся
Предыдущее изложение послужило обоснованием необходимости
введения категории ЛР идеал в ее профессионально модифицированной
версии - ЛP идеал педагога - в теорию профессионального становления
79
[img width=380 [yuav_r11dis.png]]
Рис. 11 Лингвориторический идеал как проектная основа процесса вузовской подготовки профессиональной язковой личности учителя
80
будущего учителя. В максимально обобщенном виде место и роль ЛР
идеала педагога в структуре профессиональной подготовки представлены на рис. 11. где он занимает детерминирующую позицию в образовательно-воспитательном процессе педвуза, выступая в качестве проектной основы процесса становления профессиональной языковой личности учителя. Данная схема послужила основой моделирования процесса формирования готовности студентов к речевому самосовершенствованию на основе ЛP идеала педагога и его опытно-экспериментальной
апробации, которые будут представлены во второй главе.
Таким образом, сформулируем следующие выводы:
1. В процессе профессиональной деятельности учителя (в которой
коммуникативная функция выступает в качестве базовой), ЛР идеал
приобретает профессиональную специфику и трансформируется в ЛР
идеал педагога, непосредственно оказывающий обучающее, образовательное, воспитательное и развивающее воздействие на ученика, который также предстает в учебном процессе прежде всего как языковая
личность.
2. В зоне коммуникативного взаимодействия учителя и ученика создается основа для формирования аналогичных качеств в структуре языковой личности обучающегося.
3. Вышесказанным обосновывается место и роль ЛР идеала педагога в
образовательно-воспитательном процессе педагогического вуза, где он
может и должен быть поставлен во главу угла, выступая проектной основой для моделирования двух взаимообусловленных процессов - проектирования и самопроектирования, в совокупности обеспечивающих
становление учителя как профессиональной языковой личности. Базовым личностным качеством, обеспечивающим эффективность данного
процесса, выступает готовность студентов к речевому самосовершенствованию на основе ЛР идеала педагога.
* {{yuav_ar_s10_1}}*[[yuav_ar_s10_1]]
* {{yuav_ar_s10_2}}*[[yuav_ar_s10_2]]
* {{yuav_ar_s10_3}}*[[yuav_ar_s10_3]]
го идеала: советская, американизированная, русская православная. Отечественной словесной традицией в полной мере восприняты основные элементы риторического идеала Сократа, Платона, Аристотеля (этос: благо - добро: логос: мысль - истина; пафос: красота — гармония). Понятие «ЛР идеал», согласно А.А. Ворожбитовой, способствует детализации и более «технологизированной» интерпретации категории речевого идеала - за счет ее погружения в концептуальное поле системы лингвориторического образования. ЛР идеал трактуется как образцовое по форме, оптимальное по содержанию и этически ответственное совершение субъектом речи языковых операций (лингвистика), текстовых действий и коммуникативной деятельности (риторика) в рамках речевых событий различных типов.
На основе результатов анализа филологической, философской, психолого-педагогической литературы были выделены категориальные признаки ЛР идеала, охарактеризована его сущность как одного из базовых компонентов культурно-образовательного пространства, представленного в концепции Ю.С. Тюнникова. Выделены сущностные признаки ЛР идеала 1) историческая и этносоциокультурная обусловленность; 2) когнитивно-коммуникативная природа: 3) мировоззренчески-аксиологический статус; 4) нормативно-предписательный характер; 5) инвариантно-вариативный принцип структурной организации; 6) образовательно-воспитательная предназначенность; 7) личностнообразующий потенциал. На их основе сформулировано следующее определение: //ЛР идеал есть исторически сложившаяся и этносоциокультурно обусловленная система требований к совершению языковых операции. текстовых действий и коммуникативной деятельности, корреспондирующая с актуальной для общества типологией речевых событий, отражающая иерархию ценностей данного культурно- образовательном пространства и определяющая процесс формирования речемыслительной культуры совокупной языковой личности этносоциума и ее воспроизводства с необходимыми трансформациями в последующих поколениях// В качестве категориальной антиномии выступает ЛР анти-идеал, определяющим компонентом которого является анти-этос как причиняемое словом зло различного радиуса действия (от оскорбления конкретного человека в бытовом конфликте до идеологических построений, ведущих к физическому уничтожению миллионов людей).
Проанализировав социокультурные и педагогические характеристики культурно-образовательного пространства (по Ю.С. Тюнникову), мы выделили главные факторы делающих ЛР идеал одним из его базовых
* {{yuav_ar_s11_1}}*[[yuav_ar_s11_1]]
* {{yuav_ar_s11_2}}*[[yuav_ar_s11_2]]
* {{yuav_ar_s11_3}}*[[yuav_ar_s11_3]]
компонентов, и конкретизировали их применительно к педагогической деятельности. Во-первых, ЛР идеал представляет собой этносоциокультурно обусловленную ценностно-мотивационную базу педагогической деятельности как вербализованного процесса. Во-вторых, он выступает когнитивно-концептуальной и методологической базой речемыслительной культуры учителя как профессиональной языковой личности. В-третьих, является мыслеречевой основой профессионально- педагогической инструментовки, обеспечивающей оптимальное выполнение профессиональной языковой личностью учительских функций в образовательно-воспитательном процессе. ЛР идеал по самой своей сути многофункционален. На основе названных факторов вычленяется целый комплекс функций ЛР идеала в культурно-образовательном пространстве: этносоциокультурно-идентифицирующая; критериально-ориентационная;проективно-конструктивная: дидактико-технологическая; воспитательно-мировоззренческая; образовательно-развивающая; личностно-самопроектировочная. Значимость феномена ЛР идеала и соответствующей категории для педагогической деятельности и профессионального становления будущего учителя обусловлена представленными факторами и функциями.
Как показал анализ научной литературы, понятие идеал является неотъемлемым атрибутом построений психолого-педагогического и социокультурного характера. Данный термин и его производные, а также обороты, приобретающие в контексте синонимический характер, функционируют при этом в трех основных значениях: 1) как номинация процессов ментального характера, протекающих в сознании человека, в их противопоставленности материальному вещному миру; 2) как прогнозируемый конечный результат планируемых действий, с необходимостью наделяемый всеми позитивными чертами и свойствами, которые можно предположить на данный момент в данной области; 3) как обобщенно-символический конструкт, функционирующий в общественном сознании и организующий жизнедеятельность совокупной языковой личности этносоциума на основе тех или иных социокультурных, прежде всего духовно-нравственных ориентиров.
В работе проанализированы исходные понятия теории профессионального образования. Профессиональное становление понимается как «сложнейший процесс профессионального самовоспитания, самообразования, самообучения, осуществляемый в единстве с профессиональным воспитанием, образованием, обучением, направленный на развитие личностного потенциала» (B.C. Безрукова). Важными в концептуальном отношении являются представленные в научной литературе поня-
тяя идеальный педагог, профессиональный потенциал педагога, педагогический идеал и др. С целью систематизации на основе принципа частотности мы представили качества учителя как личности и профессионала в форме таблицы, отражающей концепции более десяти авторов. Лидируют чисто человеческие качества: доброта, чуткость, понимание, умение сопереживать; из «учительских» на первом месте требовательность; качества речемыслительной культуры представлены незначительно (правдивость. вежливость, доброжелательность, откровенность). Анализ литературы, посвященной собственно речевому мастерству учителя, искусству педагогического общения, педагогической риторике. свидетельствует, напротив, что ''речь учителя выступает наиболее важным компонентом его педагогического мастерства, т.к. основным «орудием труда» любого преподавателя является слово.'' Качества речемыслительной культуры идеального педагога также систематизированы нами по частотному принципу. Как показало исследование значительного пласта научной литературы, специалисты по педагогике во многом недооценивают речемыслительный компонент профессиональной деятельности учителя; авторы специальных работ по педагогическому общению больше внимания уделяют техническому аспекту и, декларируя важность личностных качеств, не обеспечивают их формирование, т.к. не опираются на риторику - «персоналистическое учение об отношении речи к мысли» (А.А. Волков). В работах по педагогической риторике подчеркивают именно личностнообразующий потенциал этой уникальной филолого-педагогической дисциплины, однако категория риторического (речевого, ЛР) идеала не используется при этом в качестве систематизирующей концептуальной основы. Сквозь призму категории ЛР идеала в работе рассмотрены проблемные точки организации воспитательною процесса в педагогическом вузе во взаимосвязи с проблематикой самовоспитания и самопроектирования.
@@color:red; На основе исследования содержания понятий «языковая личность», «профессиональная языковая личность» и опыта их моделирования (концепции Ю.Н. Караулова, Г И. Богина, А.А. Ворожбитовой и др.), нами предложена модель профессиональной языковой личности учителя с учетом категории ЛР идеала.@@ Трактовка образовательно-воспитательного процесса как особого вида межличностной коммуникации позволила провести иерархизацию функций учителя в профессиональной педагогической деятельности. При этом мы остановились на перечне профессиональных функций учителя, выделяемых большинством исследователей (коммуникативная, гностическая, конструктивная, информационная. организационная). Коммуникативная функция учителя
Проектирование процесса формирования готовности студентов к речевому самосовершенствованию на основе ЛР идеала базируется на анализе проблемы проектирования и моделирования педагогическою процесса, представленной в современной научной литературе. С опорой на алгоритм проектирования (разработка Ю.С. Тюнникова)'' нами построена блочная модель процесса становления профессиональной языковой личности учителя в ходе вузовской подготовки''. С учетом проанализированных подходов к пониманию готовности сформулировано следующее определение: готовность студентов педологического вуза к речевому самосовершенствованию на основе профессионально ориентированного ЛP идеала представляет собой базовое личностное качество и нтегративного и интеллектуально-мировоззрснческого, мотивационно-волевого, операциоиально-деятельностного характера, служащее фундаментом Я-концепции учителя как профессиональной языковой личности.
''А к т у а л ь н о с т ь'' исследования обусловлена настоятельной необходимостью инноваций в системе высшего педагогического образования. Они детерминированы задачами реформы всей системы российского образования. функционирующего в новых социокультурных условиях поствоветской действительности. Обновление содержательного аспекта образовательного компонента учебно-воспитательного процесса в педагогическом вузе происходит достаточно активно и централизованно - благодаря перманентно обновляющейся системе ГОС ВПО для педагогических специальностей (М., 1995; 2000). Однако для эффективного профессионального становления будущего учителя, отвечающего современным требованиям, важно органическое взаимодействие образовательного и воспитательного компонентов пpoцecca вузовской подготовки с учетом личностно значимых факторов. В области воспитательных функций педвуза ощутима ситуация некоторого теоретико-методологического и идейно-мировоззренческого вакуума, @@color:red;дело в значительной мере пущено на самотек. Издержки воспитательного процесса пагубно сказываются не только на формировании личностных и профессиональная качеств будущего педагога, но и на чисто образовательной составляющей вузовской подготовки - качестве знаний, умении и навыков по изучаемым дисциплинам. Это обусловлено недостаточной мотивацией студентов к учению, самосовершенствованию, человеческому и профессиональному росту, отсутствием социально значимых и личностно привлекательных приоритетов, ценностей, идеалов @@ .
Во главе угла антропологической парадигмы современной педагогики находится человеческая личность, формирующаяся в эпицентре процессов обучения / самообучения, воспитания /самовоспитания, развития / саморазвития, в новой системе социокультурных приоритетов ведущим п е д а г о г и ч е с к и м инструментом, одним из важнейших факторов образовательно-воспитательного процесса в педагогическом вузе, готовящем учителя прежде всего как профессиональную языковую личность, объективно может стать категория лингвориторического (ЛР) идеала. Эпоха демократизации и гласности в России актуализировала потребность в риторике, аккумулировавшей в течение веков теорию и технологию эффективной и этически ответственной мыслеречевой деятельности. «Риторический Ренессанс», характеризуемый пристальным вниманием к клссическому риторическому наследию и формированием неориторики, на Западе происходит с 50 гг. XX в., в России этот период пришелся на 90-е гг. Риторика включается в учебные
планы вузов и школ, появляются десятки учебных пособий, организуются многочисленные научно-методические конференции. Однако по прошествии десятилетия становится все более очевидной фрагментарность и утилитарность использования риторики, обладающей колоссальным образовательно-воспитательным потенциалом в силу своей прежде всего философско-мировоззренческой природы. Качественный сдвиг в подготовке нового поколения языковых личностей, в полной мере владеющих культурой мышления и речи, способных преобразовать постсоветскую социокультурную ситуацию в подлинно демократическую, остается делом будущего. При э т о м передним краем инновационного проектирования образовательно-воспитательного процесса выступает именно высшее профессиональное педагогическое образование.
''Объектом исследования'' является теория и практика формирования
речемыслительной культуры студентов педагогического вуза, ''предметом исследования'' - процесс формирования готовности
самосовершенствованию будущего учителя на основе профессионально
ориентированного ЛP идеала.
{{yuav_ar_s4_3_0}}*[[yuav_ar_s4_3_0]]
{{yuav_ar_s4_3_1}}*[[yuav_ar_s4_3_1]]
{{yuav_ar_s4_3_2}}*[[yuav_ar_s4_3_2]]
{{yuav_ar_s4_3_3}}*[[yuav_ar_s4_3_3]]
{{yuav_ar_s4_3_4}}*[[yuav_ar_s4_3_4]]
''Цель ''предпринятого исследования - теоретически обосновать, спроектировать и экспериментально апробировать @@color:red; процесс становления профессиональной языковой личности будущего учителя с опорой на категорию ЛР идеала@@. Поставленная цель обусловила следующие задачи:
1) осуществить процедуру категоризации ЛР идеала, определить его сущность и структуру, функции в аспекте педагогической деятельности учителя;
2) рассмотреть ЛР идеал педагога как основу личностного и профессионального становления будущего учителя и проективный компонент его вузовской подготовки;
3) разработать на данной основе проектные характеристики процесса формирования готовности к речевому самосовершенствованию как базовой в профессиональном становлении будущего учителя;
4) провести опытно-экспериментальную апробацию модельных построений и разработать методические рекомендации для педагогического вуза.
''Гипomeзa исследования'': выбор ЛР идеала в качестве проектной основы образовательно-воспитательного процесса в педагогическом вузе (аспект речемыслительной культуры) обеспечит формирование готовности будущего учителя к речевому самосовершенствованию, что позволит повысить эффективность процесса его становления как профессиональной языковой личности.
педагогического института Сочинского государственного университета
туризма и курортного дела.
Первый этап (1997-1998 гг.) включал анализ литературы по проблеме, разноплановую поисковую деятельность, разработку концепции
исследования и программы опытно-экспериментальной работы.
Второй этап (1999-2001 гг.) был связан с проектированием процесса профессионального становления будущего учителя, разработкой дидактических материалов и технологического инструментария опытно- экспериментальной работы, проведением констатирующего и формирующего экспериментов, анализом и обобщением полученных данных, созданием результирующих методических рекомендаций.
{{yuav_ar_s6_4_0}}*[[yuav_ar_s6_4_0]]
{{yuav_ar_s6_4_1}}*[[yuav_ar_s6_4_1]]
{{yuav_ar_s6_4_2}}*[[yuav_ar_s6_4_2]]
{{yuav_ar_s6_4_3}}*[[yuav_ar_s6_4_3]]
''Теоретическая значимость'' исследования заключается в том, что в категориальный аппарат теории профессионального становления будущего учителя введена категория ЛР идеала как базового компонента культурно-образовательного пространства, раскрыта ее сущность и функции в качестве проектной основы процесса профессиональной подготовки в педагогическом вузе; сформулировано определение готовности к речевому самосовершенствованию, выделены ее компоненты и критерии сформированности; наполнены конкретным содержанием целе-функциональная, содержательная, структурно-логическая, инструментально-технологическая, организационно-управленческая проектные характеристики процесса формирования данной готовности на основе профессионально ориентированного ЛР идеала.
''Практическая значимость'' исследования определяется тем, что полученные результаты могут быть использованы для совершенствования образовательного процесса в педагогических вузах, при проектировании системы воспитательной работы, спецкурсов и спецсеминаров, направленных на формирование общей и профессиональной культуры
''Научная новизна исследования заключается в следующем'':
- осуществлена процедура категоризации ЛР идеала, проанализированы его природа и структура, определены сущностные признаки и функции в аспекте педагогической деятельности;
- выявлены, проанализированы и использованы педагогические возможности данной категории как важнейшего фактора и приоритета в профессиональном становлении студентов педагогического вуза; разработана концепция ЛР идеала педагога, с учетом которой определена и структурирована готовность будущего учителя к речевому самосовершенствованию;
- спроектирована модель процесса поэтапного формирования данной готовности в образовательно-воспитательном процессе педвуза.
{{yuav_ar_s8_2_0}}*[[yuav_ar_s8_2_0]]
{{yuav_ar_s8_2_1}}*[[yuav_ar_s8_2_1]]
{{yuav_ar_s8_2_2}}*[[yuav_ar_s8_2_2]]
{{yuav_ar_s8_2_3}}*[[yuav_ar_s8_2_3]]
{{yuav_ar_s8_2_4}}*[[yuav_ar_s8_2_4]]
''Основные положения, выносимые на защиту'':
1. ЛP идеал выступает одним из базовых компонентов культурно-образовательного пространства и является интегративной социокультурной, филологической, психолого-педагогической категорией, которая, будучи конкретизирована в концепции ЛP идеала педагога, должна быть введена в теорию профессионального становления учителя.
2. В области речемыслительной культуры учителя ЛР идеал представляет собой ценностно-мотивационную базу, когнитивно-концептуальную и методологическую основу, обеспечивающие оптимальную педагогическую инструментовку образовательно-воспитательного процесса.
3. Генеральной целью является готовность студентов педагогического вуза к речевому самосовершенствованию на основе ЛР идеала педагога, компоненты которой - когнитивный, прагматический, мотивационный, эмпирический - обеспечивают ориентацию на ценности ЛР идеала, адекватную самооценку речемыслительной культуры и самопроектирование в критериальной сетке указанных ценностей.
4. Становление профессиональной языковой личности будущего учителя протекает целенаправленно и эффективно при использовании ЛР идеала педагога в качестве проектной основы образовательно-воспитательного процесса: при иерархиезации целей вузовской подготовки, корректировке содержания учебных дисциплин, разработке соответствующего педагогического инструментария, определении диагностических критериев и процедур.
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
iVBORw0KGgoAAAANSUhEUgAAAj0AAAGDCAYAAADAuaGZAAAgAElEQVR4nOydd3hVRf7/gS221VXXXX+7q+uqq19dG8JaWYVVcWVBKVKlhhZaCEGKEmBDTWhBmhAgQEJ6DykQUoEQQoAEKVJEAgRCIKTnJjflntfvD3aOc483BVcushme5/WEe+450+/M+3zmMzOt+C//aZpmVywWyw1j7zTezqiy/WnyU2z3tuJTbUWhUPyUaXW7iR5N02x2sMbv5XtudSHfbjQ0gNn6/lantSXRkLiw9Z2920pjaVRtRaFQ/FS4LUWPQqFQKBQKxY2iRI9CoVAoFIoWgRI9CoVCoVAoWgRK9CgUCoVCoWgRKNGjUCgUCoWiRaBEj0KhUCgUihaBEj0KhUKhUChaBEr0KBQKhUKhaBEo0aNQKBQKhaJFoESPQqFQKBSKFoESPQqFQqFQKFoESvQoFAqFQqFoESjRo1AoFAqFokWgRI9CoVAoFIoWgRI9CoVCoVAoWgRK9CgUCoVCoWgRKNGjUCgUCoWiRaBEj0KhUCgUihaBEj0KhUKhUChaBEr0KBQKhUKhaBEo0aNQKBQKhaJFoESPQqFQKBSKFoESPQqFQqFQKFoESvQoFAqFQqFoESjRo1AoFAqFokWgRI9CoVAoFIoWgRI9CoVCoVAoWgRK9CgUCoVCoWgRKNGjUCgUCoWiRaBEj0KhUCgUihaBEj0KhUKhUChaBEr0KOyGxWKx+r/4LP7fEMb7jWE0dN1W/A3FaStM4/2NpdXWPU2ltaH02wrD1ufG8tvY880Ny/i3sXq1VT7NKc/m5KWpOJtqZz8k3MbqtLG22VS9/Vj5aazeG6rHptpHU3XaVDk0t200VTeNtaGm6utGykDRMlGiR2EXGhr4biYNxXEz4xZhy3H8mPE1J6zmxn2jYf1Y6Wvu/cZ83MpyvFntxF7h2vot2mqrP2a8N+s38N+k61b3g4pbjxI9Crtg7HRqamqor6/HYrHof+vq6qz+yoh7murgNE2jrq7O5v3imrinsXDr6+ut7m9O3HJ+GsuDHJ58zRiPCENcN6bVeF0OQ75XvibSaSt98neN5dlYnw2Va0P5Ef+X68sYv7FOG8uzrXI2Xhf1aev+5tSvEbmNGdNi/NxQWf838YuyMraJmpoam/Ha+i0a0yW+k+tU3CffK39n6/fTUDs01q1cH42VWUPtvrHfiWhXcnkYy0HRMlGiR2EXRKdTW1tLXV0dVVVVmM1mLBYLVVVV1NfXYzabqampoa6uDrPZrH8vOnPRmYnwamtrqampoba2Vqe+vl4PQwwKorOtqan5XjrEc7buF9dEuCI+kVZxj7hPFm1ms9kqrXKYcocux20Mq7a2Vr9HIMIym81Wnbsxj/L/RbrlshJlK/IlCwPxWaRThKNpmlUZyfkS+RDhVldXfy88s9ls9X85feI+OQxxnwhLHoAFIm9yWkQ+ZQEnl7OcV2O9G4WEqG8jchsTZSu3F2O9yXEZRYCtcpfbklxvxjZaVVVFbW2t3s6qqqr0MpTvtyUAjW1IfJbrQs6HUeyJ8pfDl38jxjwb75fzJpeduE9uo9XV1VZhGH9DIu+izkwmE7W1tZSXl1v97m91P6i49SjRo7ALonOtrq7WOz4hDITAER2v3MkbrT8iPGMHKDpQW2+eoiMWHaumWVuDjAOiSG9Dg5gYjI0DkHFgsfV2Kt8rrtkaAI3pNz4j8irKUuTJOPhqmmZVlvJAKMKSBxfjACaeF+LBeI9RjMjCQ6TBOPCL52SBZmvQF21DDHi2rA5GMSiLITkPDVkpGipzUdYiHBGGHJecJuNALLcRY73bEiAiHLntyfmV8ynHL3438u+srq7Oqswawtj+jW3alliSrYDyPfJvsqHfoSwk5XYstwk5j+K7mpoava8wCjLxnKZpuuipq6ujsrISs9mMyWRSokdhhRI9Crsgd/4Wy3VLQF1dHdeuXePcuXMcPnyYb775htOnT5OUlERoaChhYWH4+fkRHBxMVlYWx48f58yZM5w9e5avvvqKtLQ0du7cye7du8nIyCA5OZldu3aRnp5OQkIC27dvJzIyki1bthAbG8vhw4c5efIkZ86c4fz582RlZZGRkUFaWtr3SElJIS0tjbCwMLZu3UpAQAAbN24kNDSUxMRE9u/fT05ODvHx8YSHh7NlyxYSExNJTU0lOTmZuLg4MjIySElJISYmhvDwcCIjI9m5cye7du3i22+/5cKFCxw/fpzMzEx27dpFamqqnpe0tDSSk5PZu3cvu3fvZtu2bfrzaWlpJCUlkZOTQ15eHmfOnGH//v3s2bNHf2737t0kJSWRnJxMRkYGcXFx+Pn5ERAQgI+PDz4+PkRGRpKamsqRI0c4c+YMMTExBAUFER8fz5EjR8jJySEnJ4eTJ09y4sQJDhw4QGJiIomJiezdu1dP9969ezlx4gQXL17k22+/JS4uTk/7gQMHOHLkCHv27OHy5cukp6cTGhpKeno6cXFxbN++nX379rFv3z6ys7P18oiJiSExMVGvCzm8uLg4tm7dip+fH1u3bsXf35+tW7eydetWoqOjSU1NJTo6mtDQUDZt2oS/vz+hoaHEx8eTmprK9u3biY6OJiwsDH9/f3x9ffV2Fh4ezvbt2zl16hTp6ens2rWLlJQUPe979+4lPT2dpKQkYmNj8fPzIyYmhoCAABITE/V0Z2dnk5GRQXp6Onv37iUtLU2vXzmMyMhIgoKCCAwMxN/fX//r7+9PUFAQAQEBREdHk5ycTGJiIlFRUcTFxZGWlkZCQgL79+8nISGB0NBQYmJiCA0NJSoqSq//Xbt22Wzfgl27dpGdnc2RI0dITU3Vn4mPj2fv3r0kJCRw4MABdu3aRXBwMHv27NF/Y6J9yW10y5Yt+Pn54evrS1BQENHR0YSHhxMUFKT/plNSUkhPTyc1NZWMjAy2b99OZmYmZ86cISkpiejoaHbt2qX/DlJSUkhJSWHv3r163SUmJpKZmcn+/fv1tGRlZbF//34OHDig/34TEhI4e/aslahUtGyU6FHYBfmtrLa2lsrKSiwWC2FhYYwYMYIxY8YwevRoRo0aRc+ePenTpw8DBgygZ8+edO/enQEDBjBs2DBGjRrFmDFjcHR0ZPz48UycOBFnZ2emTp3K+PHjcXR0ZOTIkfTr14+JEycyffp0HBwc+Oyzz5g/fz5jxoxh1KhRODk5MXr0aCZNmsTEiRP1Zx0cHPjkk0/o3bs33bt3p2fPngwfPpy+ffvSuXNnunfvTpcuXejVqxf9+vWjZ8+efPjhh/ztb3/jww8/pEuXLrz//vu88847dO/enV69evHJJ58wePBghg4diqOjI87Ozjg7OzN+/HjGjBnDuHHj9HyIvDg4OPDee+/Rv39/Jk+ezPjx4xk1ahQTJ07ExcUFd3d35s2bh4uLC6NHj2bChAlMmTKFUaNG4ejoyLBhw/Rwu3XrRteuXfn444/p0aMHPXr0oGfPngwZMoRBgwYxaNAghg8fzptvvkn79u15++23GTRoEEOGDGHIkCEMHz6ckSNHMmLECBwdHZkwYQLOzs5MmjSJSZMm4eLiwrhx45gwYQLTp0+na9eudOvWjQ8//JAhQ4awYMEC/f4hQ4Ywfvx4PDw8mDZtGtOnT2fWrFm4uLjg5OSEs7Mzn332GaNGjWLChAn69fHjxzN27FjGjBnD2LFjGTp0KB9++CG9evWiT58+9OnThx49evDBBx/w/vvv07t3b7p06cKrr77Km2++yZtvvsl7771Hly5d6NixI507d6Znz5707duX3r1707t3b/r27cvAgQMZMmQII0eOZPz48UyaNAknJyeGDRtGv379GD9+POPGjWPEiBGMHj2aAQMGMG/ePKZMmYKrqyvjxo1j9uzZrF+/Xv8s17ejo6NehqLdjR49msGDB9O/f3+97fXs2ZN+/frx8ccfM3jwYCZNmsTo0aP517/+Rbdu3Rg4cCCdO3dm0KBBerjjx49nypQpDB8+XP9tuLi46HUkEJ9F2589ezZr1qxh9erVuLm54erqysiRI5k2bRrLli1j+vTpODo64uLiwtSpU3F2dmbixIk4OTkxYcIExo0bx9ixYxk7dizjxo1j8uTJODg46GUpynjYsGGMHTuWIUOG0Lt3b3r16sVHH33Eu+++y4ABAxg1ahR9+/bF0dFRT6OIZ+LEiUycOJEpU6YwY8YMZs2axeeff46Liwtjx45lwoQJuLm5MWTIEJycnPR669ixIxs3bkTTNKspZ0XLRYkehV2QzeHC9GyxWJg3bx5PPfUUK1euZNGiRXh4eLB8+XKCgoIICwsjKCgIPz8/PD09Wbx4MR4eHnh4eLBmzRpCQkLYtm0bYWFhREREEBoaip+fH5s3b2b9+vXEx8eTkZGhW0diYmJYunQpCxYsYNGiRaxZs4bAwEDCwsIICQnB39+fzZs34+XlxerVq1m6dCm+vr6kpKQQGRmJn58fPj4+LF26lDlz5uDu7s769evZtGkTnp6erFixAg8PD9zd3Vm6dCkLFy5k5cqV+Pv7ExkZSWRkJKGhoYSHh/PFF1/g4eHBypUr8fHxISwsjMjISD0vmzdv1p8PDw9nx44dxMbGsm3bNsLDw8nKyiImJkYvM19fXyIjI/Hx8SEgIIANGzYQFBREVFQUn332GUuWLCEiIkK3ZkRERBAREcHatWuZMmUKLi4uzJkzBw8PDxYuXMiiRYtYsmQJnp6eehxffvklISEhREVFERwcTEBAgF7uixcvZubMmaxbt44VK1bg6emJu7s7y5cvZ9u2bQQEBODh4cGqVatITU1lz5497NixQ7eEBQcH4+XlhZeXF+Hh4YSHhxMVFUV4eLieZl9fXzZu3KhbU4KCgoiIiCAyMpKoqChCQkJYvXo106dPZ8uWLXh7e7Ny5UpWr16Np6cnS5cuxcPDg/nz57Nq1Sr8/PyIjIwkOjpaz0d4eDj+/v4sWrRIz19ERASrV69mw4YNuoVJWGBiYmLIycnhwIEDuoVv9+7dZGVlsW3bNvz9/fX0i/bp4+NDYGCgbrFITk4mNjaW6Oho3TIi0hIaGkpoaCjbtm0jJCSEdevW8eWXX+Ll5cXixYtZuXIlERERJCYmsn37djIyMoiKirJqc6J8BOJzZGQkwcHBhISEkJaWxrFjx9izZw/bt28nLCyMqKgoDh8+rKc7IyNDb6PBwcF6/fj5+eHv7098fDyZmZkcOnSIlJQU3ZoWGBhISEgIsbGxJCUlsWHDBpYvX87KlStxd3dn4cKFLF++HA8PD1avXk1MTAwREREEBQURHBxs1RckJiaSkZHBrl27iIyM1K18ISEhxMTEsGrVKrZs2UJYWBgBAQF06tSJSZMmoWnfTX8Z+yX5r+J/HyV6FHbBOPcu5u49PT0ZMWIEmqbp/gvCGVPTNCunVBGOcX6+IT8eEZ7sqyD7nciOtUYfG9lfQ7ZQyQ6kDfkiNMePwpY/hOyTYvQvMqahMR8Vo19UWVkZFRUV3/PL0bTrb79XrlzhypUruq+FPAUpl52xjOS0VlVVUVFR8T2nYvG8+Cv7e4g3b+F3I+KXy1X2l5EdqmW/H7n+6uvruXbtmpW/irH9GevKVr0b/Y9s+eDIzxkdf235vsj3y2GIdBv9j4z3N+QnI/vR2HJQtzWgy/Un2oqtfAuhIPJly6dL9rMyxmFE+CDJ4cjxizYr6rqmpsbKkd1YNnIYsr+PyWRC0zSWLVvGtGnT9Lbe2G/zVveRCvugRI/CLhg7SVn0rF27Vu+4zGazlaCQV8bIz8uDiHHFk+hQRYcprwYxOroaRYZxkJFXChlFhyysNE2zSqc8IBkdUI0rxuRBxbgKzSiSjCt4ZCdY8VkWlSIMkQ5N+86xWYQrr7YRzwjBIjuZy4ON0YlcfC/EjUiDeFYeuORBTk6j/Ne40kcOy1hvcjkanZPlehb5l8vMWDdyfuQ2aKw7uY6N1+R0yqK9MQEjizqjI7YstuXPcr2L34x4TrR7uZxstWnRbo2rveQ2INIhnKONeTGmyfidnF9Z9MjiRm5LDYkeoxO7nCej070QPZs2bWLhwoVomtakc/et7iMV9kGJHoVdML6Vic7U3d2doKAgNE2z2XGKZ5uL0UJia0WMHIf4rqH4jN8brQu2hIct8WR8O7WVT1sDYWNvt7au2Qq7sTTZ+l4WlZqm2UxHU2mVrTLGtNoqJzmMxlZUGS0kttJvLI/GysWY7obKtrG4bIVhzKutdtWcdiy3YVtlZ8ynQBZ4DWGsT2M8xjKQvzf+bQhbbUdgLH/5sxy+MR+NxSPurampAWDz5s38+9//xmKxYDKZrMKw9RtU/O+jRI/CLsiDgZg20TSNRYsW4evri6bZnqZqChH2j8V/E57x2RsJ68fOR3PCbG6cPyRfDd3TnLB+aFncjDKUw77RtDe33G70+q0ui6bS/GPF3Zw4bFk6hXUNICAggNGjR1NaWvq9bRTkZfByuIr/bZToUdgF0UFpmqZPWWmahoeHB35+flYWGbnDE38bGkQauq+x55oayGyl3Vb4DcXR0PeNXWsq/bbua2yQaex6U/9vTjoaC6Opcvkhg3Nz8t1QnTWVh+bk9Ubqszl12NC9zS27G63fxtr/jcTTWD6aU77NifNG2nxToickJITevXtz6dIlvX8RU2hVVVUAVlZNxf8+SvQo7ILooOQ5eICFCxcSGhpqU/QoFApFY8jCR3wWPkEAgYGB9OnTh6tXr6Jpmr77u8Xy3Q7Oqs9pWSjRo7ALsj+PcLwEWLZsGQEBAWja9zswxU+f5lokjNdsWYcaevZGrEZNxd2UVaghC4nxvltd7orv6s7o6yOLnqCgICvRU1lZqfs7ySvTVJ22HJToUdgFeRWOxWLRV1f4+/vj4eFhdY8yN98eNGdaqil+rHBuVniNxaO49cj9ipjiMk5v9e3bl/z8fDRN+96KMTmMW50XhX1QokdhF2QxIzomTdPYvXs3Q4cOtRpQlOi5PbCnKPmhz/3Q55u6/1aXveI6zXFkdnBwoKysTK87eb8eecXorc6Lwj4o0aOwC0bRI3x4MjMz6dmzpxpUbkPk+pI3lBSDT3V1tdV9woFdDFKinuVBSNO+23hQfJb3VzEunZb3ghHX5NPDje1P/mvrunhO3vNGnppV7fOnha1+o7a2FpPJBMCmTZuYOnUqFovFar8fUc/Gtqf430eJHoVdMA5aYqCKi4ujT58+VoOKsvTcHog6FTtUyyfQy3/FlIJ85prs1C6+kzdJlDelq66u1gcyeSrDeHK8cUNL43428p4wYvM9MQCKtIprJpPJajdpEa8aIH9a2BI9dXXXT1kXomf+/PkAuhOzpn23K7fcJm51XhT2QYkehV2QOyb5Td7Pz0+f3pLfrG91ehXNr1P5OANNu+4sWl5eTnl5udUuwpqmYTKZKCgooLy8HLPZjMlksnpetqoIsSMEixA98pEW8oaG8mdZQBk3yAO+99YvrEny7t1CPMliXLXPnxZCrMjTXKK9AQQHB+Pu7q73L8ad2I2WP8X/Pkr0KOyCsXMRA4eXlxeurq76Peqt6/ZBtqKIYwyqqqoICQnRD/SUxUh9fT2ZmZlMnjyZ7Oxs/WgDIZbkozOMRxUIgWI8GkH83/iMOIbBaFWShZDxmAl5SkvTvpvikrdZUKLnp4U8HSnqUtQZQHJyMnPmzKGoqAhNs16yrkRPy0SJHoVdML4pizf/pUuXsmHDBjRNrd663ZAtPcIqU1hYyMCBA/nzn/9Mly5d9O0JhCPptGnT+MMf/sCBAwewWK6v4pOnmoSFRz4nraSkRP8sLEPygapGR9aqqqrvhVlVVaWHIURURUWFPuUm/5Wn2Iy7+CpR/tPCuCpUnvYEyMrKwtXVlTNnzqBpmn4UBWDVJ6k6bTko0aOwG/IbtNhHY9asWcTFxaFpSvTcbsiip7KykurqaiorK9m4cSOtWrWiXbt2WCwWKioqKC8vp6Kigt69ezNmzBhKSkp00SM7Pct+OkJwyHurCMuOsOSYzWaKioowmUx6mEbrjOxTJKxDIk7ZSiU+yweeynu6GKfJ5IHS1mfjdTWw/vgYRY9seQTYs2cPs2fP5vLly2iaZuWMrnx6WiZK9CjshuxEKObcx44dy+7du606LNUB3R7IdSb735SUlNCuXTsef/xxzp07R0VFBfX19ezevRsnJyeOHj0KwNmzZwkJCSEhIYG6ujoqKir4+uuv2bFjB+fOnaO2tpb4+HhCQkLYt28ftbW1nD59Gl9fX2JjY6mqqiIyMpIZM2bw5Zdfsnz5cry9vUlOTtYtP6WlpcTFxeHl5UVCQgLl5eV6G8vPzycsLAwvLy/8/f0JDw8nKSmJ8vJyqqqqSE1NJTg4mLy8PN0CZRQ9thBlI5eRmrq9ORitx6KMxeanYWFhLFy40ErsapqmC1zV57Q8lOhR2A15Ll1YehwdHdmxY4cSPbchxoFc+OdYLBY2b97Mvffeqw84JpOJpUuX6n4+dXV1ZGdn89xzzzFlyhQ0TSM3N5fRo0czbNgwjhw5gqZpDBgwgL/+9a+sXbsWs9lMUlISTz75JM7Ozly8eJHhw4fj4OBAp06dePTRR+nbty89evTg8OHDmEwmNm3axNKlSxkzZgxdunRhyZIlFBcXY7FYOHHiBK+//jqTJk3CwcGBF154gWHDhlFaWorJZGLgwIE8//zzHDhwAE3TqKio0PMtL29vyG/IaElQoufmtEFRD/K2CdXV1cD11VuLFy9G06472Mv3KtHTMlGiR2E35E5fmJ8//fRTAgMD0TTrU9ZvdVoVzatPecAQoqeqqorCwkJ69OjBX/7yF06cOMHJkyeZNm0a2dnZ+lt5cXExL774IvPmzUPTNL755huefPJJBg8erPsAffrpp/z85z9n586d1NfXEx8fT+vWrZk9ezYFBQVs2LCB48eP4+TkxP33309oaCgLFiwgLS0Nf39//va3v7F+/XqWLVvGY489xsMPP0xSUhKapnH16lVef/11vv76a/z9/WndujVDhw7VLVZvvPEGr7/+OpcvX8Zisdj0+TEKHqN4V/5ANx/ZeiOmREX/snnzZivRY9yiQE2ptzyU6FHYDdHBAPr0lrOzMz4+PgBK9NxmyH4Rou6EX4+maSQnJ3P//fczfvx4pk2bhpOTE4WFhVZHBkyaNIk+ffpw5swZCgsLad++PQ4ODvoKq23btnHXXXeRnJzMpUuXGDZsGK1bt+bTTz+lvr6eoqIiLBYLgYGBPPzww1y4cIHy8nKKi4txcnLi7rvvZsKECQwdOpT27dvzu9/9jjVr1ug+POPGjePs2bOcPXuWBx98kKFDh1JeXo6mafTs2ZOOHTuSkZHBV199RWVlpe7cLJa0WywWDh06xNq1a1myZAkeHh54e3sTHx/P9u3bSU9P58qVK2rl101sg8ZVecJHC2DlypXMmjULTdMoKyuzEkVK9LRMlOhR2A15OkCsrnBwcGDz5s36dWVqvn0QokdYP8SSdbHKqry8HEdHR37zm9/wzDPP4OXlpde9ED3e3t60bduWhQsXsmLFCp588kl69eql+97s2bOHBx98kDlz5jBnzhwGDhzIQw89RM+ePdE0Td+7JyIigjvuuIPc3Fw07bqzvKurKw899BDe3t5s2bIFb29vVq1apfsHWSwWZs6cyc6dOykqKuL555+nU6dOFBQUoGkaEydO1EWTk5MTrq6u7Ny502pJvKZdF3fTp0+nd+/edOzYkdGjR7N48WImTZqEm5sbp06d0tOk2vbNaYNms1n/LB9DMWfOHBwdHdE0zWpzQuPeS6peWg5K9CjshrzSQnRKvXv3ZvPmzWp+/TZEfkM2m836G7bFYqG8vBy4vmT44Ycfpn///uTl5emCQdTxqVOn2Lx5M0FBQaxatYrnn3+e3r1769aizMxMHn74Ydq3b4+bmxu7d+/m5Zdfplu3bmiapq/Y2rx5M61btyY3N1dPl5ubGw8++CC7du2ipqaG0tJSrl27pvt2VFVV4ejoyKFDh7h48SLPPvss77//PteuXUPTNGbMmMH999/Pli1bWLVqFW3atKFHjx66RUvsQl1YWEhubi779u0jLi6Offv2cfToUaKiooiPj+fatWtW/j23ut7+l5CnEMVnYYkDWLVqFYMHD9brXNwvb2qpRE/LQokehV2QBY3cKXXt2pWtW7cqR8/bEGOdCjFbX1/PmTNnSE1NJSYmhnfffZewsDD9e7GaSwgkISCqqqr44IMPePvtt/VTsUNDQ7n77rt59dVXuXjxIvn5+Tz66KN06dIFi8VCcXExmqYxa9YsWrdurTtA19fXEx4ezp///Ge6devGunXrCAoKwsPDg2PHjpGamsqaNWt49913KSsr4/Tp0/z2t7+lc+fOuugZP348v/71r/nqq69ITEykVatW/P3vf0fTND29YqpOtF2xig3Q9wuSN1FU7fvmtUHZeVw4MgcHBzNo0CCuXLlidb8Q67Iv1q3Oi8I+KNGjsAu2rAIA77//PqGhofo9amC4fZCnt8R0lfgbEhJC9+7dGTx4MPPnz6egoEC3BIm/8v45YgNDsVorJSUFTdOYN28eTz/9NAsWLMBisXDhwgWefvppnJycqK6uprS0FIvFgpubG3/961/JyspC065Pe125coXFixfzxBNP0L59ez766COcnZ3Jzc1l+vTpdOjQgXHjxqFpGmfPnqVTp0588skn5OXloWkaY8aM4emnn8bNzY2hQ4fy2muv6VN0to7MEGeQyf4ich5V2755bdC4ZF30L1u3bsXR0ZGKigqrHbfl/kiJnpaFEj0KuyB3MmKQAPjwww+Jjo62ukd1QLcH8uAhb/pWW1tLeno6c+fO5csvv+TkyZNWFj6xj4r8nKZdF8OhoaGsWrWKr7/+mvr6epKTkwkICODo0aPU1dVRVFREQEAAWVlZmM1mfUXVoUOHCAkJIT8/X3dUra+v58qVK/j6+jJ37lzWrFnD8ePHsQvd/FEAACAASURBVFgsxMbGsnHjRg4dOqTvLZSQkEBycjJFRUXU19eTmJiIv78/wcHBbNy4kfj4eN0ZVhboxjO6xDX5qAsl6G9eGzRuDyCcmeH66q3PP/8cTdOsBKkQ35qmRE9LQ4kehV2QO6b6+npMJhMAo0aNIjo6Wu90VAd0+yAP4rJDqNiHqby83MphVF7lZRQOIpzS0lJdsIhn5GXisuO0MVzhWGxMk1jlJXyJ5OvGZeYiDDl+GZE/Of8iPlngyP47SvTc3DZoyzlZiB5fX19d9Mjns4mpSfWi1fJQokdhF0THJAYDsWPqjBkziIiIsBow1PLR2wPjYG4c2OX6NF4zPm/8bNzIUhYnRj8acZ88dWEUMsZwZUEjh2H8LKbhZH+lhvLeWP6U4Lm5bVDTNCsHeSF6fHx8dNEjnJ3r67879kQtWW95KNGjsAvGQUvsyLxw4UKCg4Ot3rpVB3T70NgAL9d5YwJHDst4j604bMXX1PPGpcnNFV+NpaGhMrB1nxI8N6/9Ga1rYtoUYOPGjcybNw9An1KVp1Vl69CtzovCPijRo7ALcsciNnYD8PT0xM/Pz6ZVQKFQKBrDVp8hH3OzceNG3N3d0TTNSvSIZ9SqupaHEj0Ku1FfXw+gbxcvRI+vr6/VPfZKT1Nv5k1NTdzItMYPmQq5UauIre+bytsPiVtc/2/SYcuK0lT4TZVnY2E1dm9zy6M59ddQGTfWphqL21Y6G7uvuf+/kTb2Q8ukoXAaqpuG7m2qnchL0C0W67P9goKCdNEj+4IJlKWn5aFEj8IuyB2LvGPqokWL8PPzs7rHVud2s9J0M7DVgd6suJoawG5lXA19f7PS2Nxwb3YZ2bMObmd+aDnZ+l0ZHdCF6ElMTGTOnDn6ZpfCsmPsb5ToaTko0aOwC3KnJRxGAdzd3W/ZgaPGzre5PigNYVzBJFaK2Aq3uWH+2APGjYTxY8TxQ8O3VT838v3NTnNDcf6Y6WoorP8m3IacyuV83Uj4TZWH8d7m1nlzwpHvl/fc0bTvHJmzsrKYMWMG58+fR9OsT1qXHZuN4Sr+d1GiR2EX5M5JXlI6f/58goOD0bRbI3rkVUJVVVU2r8t/5TzIq32qq6upr6+nrKyMvLw8IiIiCA4OJjo6msuXL+v3yku1xTSfyLutpdoWi8Wm06XF8v1VTLZM98ZybSg8s9lstaTc6FguDwzydEJj5SOnUTwn7jPuaWNMowhflKv4K8IzikpRb6IMjW1OfCc7u4p9WkRZi/KSN1uUN70TcVZVVenpFvmQwxVhiDCN6RBhi+kW8VnTNKv9fWyVrSgrEbaxnuT0CKuGvDmiyWSitrZWP1RVlIHJZNLjFvUsp0uUq7hHnioythvjKrqG2pX8nUDsaC3KUPxOGhI9cjsT4Yl2A5CZmcmsWbPI/c+ZbKIdWSzfrSBVVp6WhRI9CrsgOizRWYpOaerUqfruu/aeXxdxCQdHsauu8UgFMQAZd92VB8uKigoKCgqYOXMmI0eO5G9/+xsvvPAC/fr14/z58/pRC2JwMZlMukO3PCiLAzvF/bIAEjtZyzsby4OgGLBE2uXBWQzyYoPA+vp6ysvL9YFQzo8Y3CoqKqwGVjlcOV6LxaKfQC7yIQYqW8vN5bSI8hb5FnHIA7acb4EQjCLfIizxvSy45LIS6a2oqNCvCSorK/X0G+u/vr6eyspKqqurMZlMungQg7S4R5Sp2WymuLhYT5vYkFMWCyIPxjYg0izaiigfTbvujCs2ZBTpFO1TXKurq6OyslIvC7EbsWhf58+fx9PTU99o8fDhwwQHB1NXV0dZWRkmk0lvAyLNoi3KZS+Xv7yXkpwuEY74nYn6lIWN+L6yspKysjKrtiPXna2+QRY94rO8UCIyMhJXV1dd5Mki1GQyWYVxq/tIhX1QokdhF+Q3O9GRAbi4uLBnzx407bs3O3uJHmMnLTpmo9gQ6TKbzVZiRYgTs9nMtWvXmDZtGo888ghvv/02PXr0oGvXrmzYsMFq8BJiorKyUh+IREdcXV2td/jGAzzFG6oYiIQoku+T38Srq6t1U77Ih3GQFYN3eXm51UArn4Ul8mfMryxMhJgTYqq0tNTKmiTClstcTpcod3E6u3xdtqwYB3g5vyUlJVbCQXwnRIA8kGva9U0QjcJGiAORTzmNsqCSLRKiPET7NooNOf9iQzxRp7Jwka0PIs/i/pqaGkpKStA0TRfMoh0YLYQizaWlpTbFsqZpHDlyhLZt27Jhwways7P10+ABysvLrepSiEF592JjPYjfrCy65bYtf5Z/UyKfcnsuLy/XhWND8Rj7FaOVUJQPwPr16/V9emTrl6Zdt241ZEFS/O+iRI/CLsidi3hbBJg8eTJBQUEAdp/ekuMTIkR00hcvXqS4uFgftIqKijh79qw+KBsH3z179vDOO++waNEikpKSyMzM5MCBA3pHX1paysmTJzlz5ow+oMgWBbPZTFlZGbW1tVy9epXi4mKrsioqKuL06dOcO3dOf06cHC7ESklJCWazmatXr+oDlZxGeQpAiBIxQIiBvKqqSh+sxQArBmxRZkVFRbo4EpYBefrHZDJRVFTE1atX9TTIb+0XLlzg5MmTnD9//ntWGmHVOHr0qF4nQqwVFRWRm5vL5cuX+fbbbzl48CAmk0kXXRUVFXq5icFQiB1RXuLoivLycs6ePcu3336rn7UlW3tqamooLi7WnxX5EHUhrDiibEtLS/nmm284ceKEPoiLMIXFo6KiQrdkyNOion2I8hdCqqyszEow2RJGBQUF1NbWcvbsWa5du2ZVllVVVRQWFuoiRgipy5cv4+zsjJOTE0uWLGHKlCns2bOH8vJyqzZTUFDAsWPHdCueENminMvKyvT2IvJaUlJCSUkJly5dshLTon0VFxfrIla2mIpyEXVQXFxMUVERZWVlVtOSxr5BFkIiXFE2AGvXrmX27Nlomqa3FRGOcYPCW91HKuyDEj0Ku2D0dRCiZ+jQoXz55ZcAt2R6S/Z/MJvN5ObmEhMTw7Jly/D09OTYsWNYLBZ8fHwYO3Ys2dnZ+sBy5coVUlNTMZvNLF26lLFjxxIdHU1aWhobNmxg+/bt+kGb4eHhODk5MWXKFAIDA8nLy/uetaC8vJzdu3cTGBjIypUr2blzpz4Y7Ny5EwcHB3x8fKiqquLAgQNs3ryZnJwcTpw4wdq1a1m9ejUBAQEsWLCA6Oho9u/f/z2rxbVr19i2bRuBgYH4+/sTEhJCfHw8Z86c0Qeoq1evkpiYyOHDhwkMDCQtLU0XJ7GxsXh5eZGfn091dTVRUVGEh4dz+PBh3Up17NgxAgIC8Pb2ZuvWrfrAnJubS0BAADNmzMDNzQ03Nzfi4uJ0MVZSUkJGRgZxcXG4uLiwatUqsrKy9PoJDg7G2dmZWbNm4ePjw6hRowgJCcFsNnPy5ElWrlxJQEAAPj4+pKenc/nyZatTz0UdX7hwga1btzJr1ixcXV3ZsGEDkZGR5Obmcv78eXbs2MH27dv54osvCAkJ4dixY/rgHhUVxZo1a/D19SUkJEQXOXl5ecyePZuBAwfqg/SZM2fYtm0bubm5WCwWUlJSWL58OSdPntRFWG1trV5/x44d0/N66tQp/Pz8SE9PJyQkhOTkZMrLy/X2UlhYSEhICMuWLSMhIYGJEyfi7e1NeXk59fXXT7kPCwsjICCAoKAgvv32W8xmM4WFhfj5+eHq6sqePXtISkoiNDSUjRs3cu7cOV2gHTx4kI0bNzJ16lS2bt1KcXExeXl5+Pr6Eh4ejre3N56engQGBvLFF1+Qk5NDTU0NW7ZsYfXq1SQkJJCamkpiYiKlpaVomkZWVhZLlizhm2++QdM0ysrKiI6O5siRI7rFsaCggODgYLy9vfHx8WHlypVcvXrVyk/I1m9Y0zR9hZYQ84Au6gBd1Mn+T3LfpGgZKNGjsAuy06N44wYYOHAgXl5eAHaf3pJFj6ZpFBQU4OrqyrRp0/D09KR9+/YMGTKE0tJSvLy8eOCBB5g3b57+thgREUG/fv2oqKhg6NChtG/fnmnTphEWFsbUqVN5/fXX8fLyora2loULF/LZZ5/x1ltv0bFjRw4fPmxl2jebzezZswdPT0+2bdvGoEGDePPNN4mPj8disbB69Wp+9atfERMTQ0lJCRMnTqRHjx4kJCSwdu1a+vfvz7Rp0/jrX//KmDFj8PLyYunSpWiapsdRXV3NuXPn6NKlC8899xzDhg1j8uTJvPnmm7i4uFBSUkJFRQVbt27l008/JScnh+nTp/Pee++xf/9+ysrKePvtt+nUqRNXr16lpqaGzz//nLZt2+Ll5YXZbKagoIAZM2boB4e++OKLrFy5EpPJxNGjR+nYsSMvvfQSS5cuxd3dnb///e+cPXuWuro6oqKiGDVqFL6+vnh4ePDuu+/SrVs3Tp8+TU1NDfPnz+c3v/kNPXr0ID4+ntmzZ7Nw4UIuX77MyJEjGTZsGN7e3jg4OPDee++xfPlyK2uDsCRdu3aNzp0784c//AF3d3fWrl3LG2+8weLFi8nPz2fMmDHMmDGDmTNn0rFjR/1E94KCAl555RXc3NxYuXIlb731Fi4uLly5coWysjK6d+/OfffdR2VlJQA7duygffv2pKamYrFY8PX15emnn2bcuHEUFBTo/kFubm489dRTbNu2DU27Png7Ozvj4uJCaGgobm5uvPXWW3h5eenWr9zcXD788EO6devGihUr+NOf/kSfPn0wm83k5+czefJkVq9eTVRUFJ9//jkTJkzgq6++orKyku7du/P444/rYcXGxvL000+zd+9eNE3jxIkTODo6smLFCpYuXUrXrl2ZP38+Fy9eZOTIkXh7ezNp0iSefPJJpk6diouLC1FRUdTW1uLi4kK7du04ePAgERERDB8+XF+okJqayuOPP05GRoYucl9++WXc3d2xWCyUlpaycuVK3nvvPb744guGDx/Os88+S15eXqNWYOPvWFjGAFxdXRk9ejSAbpGU/bTk6bFb3Ucq7IMSPQq7IE9vCbM2QK9evdi1axeaZv/VW7IQq66uJi4ujvbt27Nr1y4uXryIq6srgwYNIj8/n4sXL/LUU0/RuXNnfSrFzc2NMWPGUFVVRYcOHbjvvvvYsWMHV65c4ejRo7zyyit06NCB/Px8du3aRV5eHv369ePdd9+lsLDQyi/mypUr9OzZk4kTJxIZGUnfvn1p1aoVo0ePxmQyERgYyL333ktycjJbt25l0qRJREVF8c033xAbG0t8fDwpKSn88pe/JDMzk9zcXBITE618OioqKigvL+ftt9/mzjvvJCEhgX379uHo6MhDDz1EbGwsJ06c4NVXX2XgwIHExsbi5OTEz372Mz777DOqqqro3LkzL7zwgi5Q586dS+vWrQkKCkLTNLy9vXn22WcJCQlh06ZN3HHHHXTo0IHLly9TVFTESy+9xHvvvcfFixfZvXs3d999N3v37uXSpUu89dZbODk5kZeXx9WrV1m7di2//vWv+fzzzzGbzfj4+HD33XezatUqysvLOXfuHMeOHSM8PJxf/epXbNu2jUuXLpGSksJzzz3H888/z+HDh9G0707YFr4pvXr1onXr1mRnZ5OamsqDDz5Iv379qK2tZcuWLezevZvTp0/Ttm1b3nzzTcxmM3l5eXTq1ImTJ0+Sk5PDk08+Sbt27cj9z8qg/v3788orr+jTbZ9//jkPPfQQ+/fvp76+nuzsbJ588knuu+8+0tPT9Sm75557jjvuuAN/f380TSMlJYVnnnmG6OhoLly4wJEjR2jfvj1PPfUUp06d0v2Phg8fzuTJkzlx4gR/+ctf9PRHRkby29/+lpkzZ7Ju3Tr69evHfffdx9y5cwEYM2YMrVu31qfo/v3vf/Ozn/2MLVu2oGkaCxcu5JVXXuHkyZMUFhayevVqxowZQ3V1Ndu3bycvL4/4+HhefvllfH19OXbsGN9++y21tbXExMTw2GOPYTabOX/+PP3792fAgAFYLBauXbvGH/7wB9LT07FYLOzcuZM2bdowefJkNE2jpKSEnj178uc//5mzZ8/i7e3NQw89RH5+vlUf0lDfIluThSXZ3d2dyZMnA1hNOcq/fXu+aCluPUr0KOyCLHqEtQfgX//6l+5T0dC8/c1CftMzmUzMnDmT119/HYDKykouXbrE0aNHKSwsxGKx4ObmxkMPPURmZibHjh1j6NChHDx4kKtXr/L888/zpz/9iaKiIj2/W7du5Z577iEkJESf+hkxYgQvvvgi27dvJzY2lsOHDwOQkJDAPffcw7Rp01i+fDmOjo506dIFT09PKioqiImJ4e6776Zbt260bdsWPz8/PZ3C5+LkyZP8+te/Jj8/X/cHqqio0B1cxWqVf/7zn7zwwgu6b9G5c+e47777GD9+vD4Q9erVi40bN7Jo0SJ69uzJqlWr0DSNFStW8Mc//pFNmzYRGBhIv379uPPOO0lKSkLTND744ANeeukl5s6di4eHBx999BETJ07k2rVrlJaW8tprr9GuXTtWrVrFwIEDueuuu8jPz+fQoUO0adOGLVu26E6s165d46mnnuJPf/oTlZWVxMTEcMcddxAWFoamafqKnFmzZvHAAw+Q+59ppNraWlxdXfnFL36hT50KfxHhm+Ti4kLr1q1xdXVlxIgR3HnnnYwfPx5Ad8QOCQnhkUceYfr06VRXV1NeXo6vry++vr6sXbuWRx55hLZt23Lq1CksFgs9evSgQ4cOFBUVERkZyccff8zTTz/NqVOn0LTrFpRBgwbxxBNPMG7cOEwmE5mZmbz77rvcf//9rF69Gk3T+Pzzz3n22Wf1ehSWvjZt2hAREYHFYgFg6dKleHl5YbFYeOGFFxg8eDDV1dXMnTuXX/3qV7i5ubFw4ULGjRtHly5d8PLyQtM0PDw8+NnPfkZZWRlhYWEMHjyYn//853zxxRcADBgwgI4dO1r52xw7dsxqmf3ly5fp16+fnh4hrouKirj//vuJjo4mODiYdu3aMWDAAN2R/cUXX+TgwYNkZWUxduxY7rzzTj799FM07boY8fDw4LHHHmP9+vWsXr2ae+65h/z8/Eb7BnFNxCF8sgA2btzIwoULAaxW9cl9kRI9LQslehR2wbjKQnRKH3/8MQUFBWjad3Pr9hI98htiVVUVEyZM4O9//zsAFRUV+nfCsff8+fM89thj9O3bl7Vr1zJq1Cjq6uooLCykQ4cOPP7441y+fFkP++uvv6ZVq1Z4eXnpnevIkSN54IEHCA4OxsXFhf79+3PkyBGWLVvGAw88QFpaGsePHycrK4v9+/dz4cIF6uvriY6O5o477uCJJ57gzjvvZMaMGcB1PwUxXXjq1Cnuv/9+vv32WyurmqZpurOspml07NiRDz74wGoZcrt27RgyZAjbtm2jVatWLF26lHPnznHx4kUOHz6sTzEcOnSICRMmsHz5ctavX0+nTp246667dGvdk08+ydixY8nKyuLAgQMcPHiQ06dP634or732Go8++ij//ve/cXBw4Be/+AVJSUns27ePVq1a4e/vj8Vi0VfxPP/88/zud7/DZDIRHx9PmzZtCAgIQNM0PT+ffvopDz74oC4+zGYz0dHRtGrVimXLlqFpmu6ALiw9kyZNolWrVixYsAAnJyfuuusuBg4cqIsjk8nEihUruPfee3F2dqampoYTJ04wefJkPDw88Pb2pkuXLjz77LOcOXMGTbtu6XnggQf47LPP8PHxwdvbm7Zt2+o+LBkZGXzxxRfMnj2bRx55hOjoaMaPH09oaCiPPvoooaGhaJqGo6Mjf/rTn3TRU19fz9GjR2nTpg0+Pj5o2nWryLp16/TpzxdeeAEHBwdMJhOTJ0/mj3/8I3l5eeTl5XHq1CkyMzN1i8nMmTNp3bo1K1euZMuWLfj6+tK6dWvWrl0LQP/+/enQoYO+mg343v5BZ86c4YMPPiA4OFgv89raWsrKyrjnnnsICAhgw4YN/OUvf6Fr165cvXoVTdNo27YtM2bMYNmyZfj4+PDuu+8yYsQINO26aDl37hx9+vTh0UcfpW3btrRp04aCgoIbFj3Ckrx582Y8PDysRE9D3Oo+UmEflOhR2AWj+VmInl69elFcXIym3bodmcXAP2/ePB555BF2796NyWSitLSUM2fOWC3ZdXNz4+6776ZXr17s2LFDt6IIMXP06FH9d+Hn58f9999PRkaGblofMmQIf//73yktLSUgIICf//znLFu2DD8/P+69917dMbeqqkqfVrNYLERGRnLffffh5eXFiy++yEsvvaSvBCsrK8NisXD48GHuueceLly4gKZ9N9DLy5gBOnXqxD//+U/d8bO8vJyOHTvi5uZGeno6bdq0wcPDQ18yLS+RNpvNXLlyhaKiIsrLy3F2duZnP/sZWVlZaNr1N/l33nmHEydO6EviRfmVlZXRrl073n//fQoKCjh16hQPPfQQffv25fjx47Rq1YoVK1YA1y0zZ86c4S9/+QsODg5YLBZiYmL4xS9+oU+lCdGzYsUKWrduzY4dO/R69fX15f777yczM1PfA0bTNN151dnZmdatW+ur8tq2bcsLL7yg76lUWVlJfn4+HTt25Pe//z1lZWVMnTqVJ554gry8PMrLy5kwYQJ//OMfOXHiBJqmMXjwYFq1asVbb72lW6/efvtt/fvg4GDc3d05cuQIv//973n99dcZM2YMx48f57e//S1paWlomsaMGTP45S9/yYEDB4DrqxoTExO588479Xt27NjB3Llzyc/PB+CFF15g9OjRmM1mVqxYwX333cfWrVupqKigqqpKXy2naRpOTk60adNG90fLzMykVatWeHt7o2ka48eP53e/+x2RkZH6VO6BAwf0362maaSnp/PMM88QGxurtzWLxcLevXv5/e9/T2VlJdeuXcPJyUnPm8Vi4aWXXuLRRx8lKSkJs9nMiBEjcHBw0MMoLS2lb9++vPbaa0ycOJE77riDvLy8Hyx6Nm3ahLu7uy565N+9/KwSPS0HJXoUdkHuaGTRM3DgQH1661aJHjEgJicn8+c//5n33nuPpUuXsmDBAtauXUtJSYlu1j916hS/+93v6NOnD5WVlbolJSgoiMcee4wRI0bw1VdfcfLkST7++GOGDh2qLys3m83885//5F//+hdXrlzBx8eHe+65hyVLlnD27Flee+01OnTowMyZM3F3d8fDw4MDBw5gsVgIDAzkN7/5DQUFBfj6+vLUU08xe/ZsfQpL0zRiY2O54447yMzM1K088pJr4efwzjvv8OSTT7Jz506uXLlCWloar776KmlpaRQUFNC1a1eee+45Zs+ejaenJ2vXruXSpUvfW1pusViYPn06rVq10qe3xo8fz7333sugQYOYNWsWq1atIjs7G0277ijetm1b3njjDX3V2OOPP46LiwtFRUU8//zzvPPOOxw7doxTp04xZ84c2rZtqw/0X3zxBXfddZd+bIkQY0ePHqV9+/Z0796d3P8saR8xYgQjR47UhZ+8EaLZbOYf//gHrVu3JioqipCQEF5++WXee+89Tp06xenTp/nmm2/Iz8+nW7duPPLII5SUlNCnTx8eeOAB/Pz8WLduHa+++ir33XcfERERVFdX07VrV+68806Cg4OB6+c+Pf7443r6XV1dGT58OCaTif79+/Pggw9y8OBBMjIydOuIpmns3r2bl19+GUdHR06dOqU7avfo0YPCwkIuXLiAg4MDw4YN48iRIxw5coTnn3+etm3bUlhYyIkTJ3jzzTf5v//7P6ZMmcLMmTOZM2cOOTk5aJpGz549adOmjS5y0tPTadWqFR4eHmiaRlJSEi+++CJvvPEGU6dOxcPDg/Xr1+sCWNM0IiIiuPfeewkPD9frorq6mo0bN/Lwww9z+vRpsrOzGTFihP4iceHCBf7f//t//POf/9T3q+rQoQO9e/fWN3b09PTk1VdfJSoqisTERO655x5Onz7dpOgBdNGjaZrev8iWHiHY5DCU6Gl5KNGjsBuyZUUsI546dSqpqalo2q0TPUIclJSUsHz5ctq3b0+HDh1wcHAgKipK98cR4mHq1KmsWrUKQBc+BQUFbNq0iX/84x84Ozvj5+eHu7s72dnZer5KS0sZM2YMffv2ZdOmTfTv359PPvmEnJwcfQqra9eu/O1vf+Nf//oXnp6e5P7HSTYiIoKRI0dy8eJFqqurWbJkCcOGDeP06dN6Zx8VFcXrr79OYGDg93btFXu0AHz00Uf8/Oc/Z+7cuQQHB+Ph4cGaNWv0/Wt2797NG2+8wRNPPMHLL7/MokWLKCws1OtN7N1TU1ODp6cnjz/+OBs2bKC2tpZDhw7h6OhIp06deOWVVxg9ejQnTpzAYrFw8uRJBgwYwNtvv83MmTP58ssvWbBgASdOnKCmpoaAgADefvtt5s+fz7p165gwYQKbN2/W43N2dqZz5866T4+8f05UVBR9+vRh1qxZzJkzh+nTp+vbDRj32jGbzbzxxhu88cYbODk5MWPGDD7//HN9ZVxmZibz5s3D1dWVIUOGsGrVKmpra/H396ddu3Y4OjoyduxY+vfvz8cff0xKSgpVVVXMmDGDIUOGcOXKFTRNY/v27bzzzjuk/mf11ty5c5k8eTK1tbVkZmYyf/586uvr+frrr5kwYQK7d+/W/U2ioqLo3bs3np6exMXFsWbNGvbt28fVq1eZOHEiL7/8Mr169WLs2LFMnz6drl278vDDD7Nr1y7q6+tJSEhg4MCBvPXWW7zzzjv60m9N0xg3bhyvvvoqhw4dQtM0du3axeuvv65PndXX1xMSEsJrr73GX//6V2bMmKFbzGTR88wzzxAaGorFYtGtgGlpaQwYMICUlBRSUlLw8PBg48aNlJSUcOTIEd544w3Wr1+vT2EOHDiQPn36UFpayqVLl/j444+ZP38+ZrOZ7du306tXL72NNyV6xOotTWtc9ChaNkr0KOyGkoThvQAAIABJREFU0doD1/fR2LRpk/69PZePGkWY2DwtOjoaf39/ffO7+vp68vLyyMrKYu/evaxbt47s7GzdjF5cXKyLi6SkJLy9vTlw4AClpaVWO+6Wl5dz8OBBEhISiI2NZcuWLeTk5Oiipbq6mqysLKKiokhISNCFRl1dHadPn+bUqVOUlJRQV1dHcXExKSkpnD9/Xi+zs2fPEhcXR3Z2tj41JR+tIKaDJk2axCOPPEJiYiKpqakkJCRYHV9QWVlJQkIC69evx9vbW/e5Ehv/ib2WamtrOXbsGFu2bCE9PV0fmHL/s3IsPDycrKws3bqSn59PWloa27ZtIycnh9OnT39vI8SdO3cSGRlJcnIyhw8fttoEMj4+nrS0NN13RxZ1NTU1HDlyBG9vb7y8vDh69Kj+nFitI/ukREVFsWPHDnbu3El6ejpFRUV6mFeuXNH3m0lNTdV3ti4sLGTbtm2kpqZy8OBBcnJyOHDggL4y7OTJkxw/flzfDfncuXOkpaVx4cIFampqOHToEAcOHNAH36KiIn2zxNzcXIqLi612id63bx+xsbFkZWXpUzO5ubl88sknLFy4ED8/P7788kv8/PyIi4tj0aJF7NmzRy+TEydOkJycTFJSEleuXNHDzsnJIT4+XnfQP3v2LDt27ODSpUu6RbCmpobt27cTHBys+3PJqw2/+eYbAgMD9dVk4nphYSE5OTnk5eVRWFhIYWGhXuZFRUXEx8eT+x+H8/r6ejIyMoiNjaW8vJzCwkLi4uI4f/683o6ysrL0VWbNsfQYfQY3b96Mu7s7mvbdERTGvkhZeVoWSvQo7ILRaVA4SH7xxRds3LjRSoDYO01iUJa39ZePibBYLLi6uvLhhx/SuXNn5s6dqzsQV1VVUVpaanWukFgxVVtba3Ukg2xpkHcoFm/P8i69cprkbfvls57k3Y7FLr3iHvHWKwb8mpoafbXTmDFj+P3vf09RUZEuCuTjKcQ+RMK3SNTXtWvXdB8heZdnsQOu+E6+LqxMIr8iLfIZY3L8Anl3Z5EG+eBJkVaRfjHVJadLPs9LlK08zSWXq3herGiT9/WRy1S2GAlEWVksFqsdu+WylQ9MFWUkBJ9siRN5ketXlH9tbS3FxcUcOnRI3/JAxFFXV0d5eTnXrl2zEnq26kKenhRCT/bfEvFXVlZa7WhtzJex/o3lJ8pZPkdObs/yfjmi/cs7OItViSLMGxE9Rp8eTdOsHJmNfdKt7h8V9kOJHoVdkAWN6IwBFi9erB92KL67VY7MYkAWokdcB3BycuLll1/mo48+IjMzUx8kjIOI2FlZWI7EfSJv8pu0iEveiVqIDvlIBjld8hlH8mGQ8kApwpbjlHegHTVqFM8884y+q7K8K7Q8mAtBJgYr+RwpISDE8+I+eVAU/5cHXSEaZCEkBl5RfiL9smAS04OyZU6IAbHxopwe+XBPMSiL8rUlekSZy2UtH/1gFFmySJbFj7zqT9S/vCu2LH5E25DFmGxNEcJabqOy+DCKRFEemqZZ+THJ9SrSLtqLLG6NZ8QJ0SPXjxyOaKtGYSmXtyzMheVR5F2UtbxsXIQjptLk30pzRY8IF8DX15cFCxagadaiR96cUAmfloUSPQq7IE9dif8DeHh4EBISYnXd3qJHjlc2o8uDyPHjx9m6dSvZ2dn6wCc/J6dbfBbP2opHXLeVFrkTlgcSeUm/jBgoNO27Zf9yumRhIVYCeXl56bsVC6uWrbTJcRjrURZgcv6MdShfl7+T82N8k7dVH8Ylx+I+W/uuyGUv3yPnyViWRuFty7og14s8WNt6Rh7A5XvlFwA5f8b2Im+iZ8ybsRyM6WisTEW8xjTL5ShbXOU4jW1EtCljO5ZFkvhO/k3IFi9b6TWWSXOmt2TfOzF9HhMTg5ubm5UlVNM0vc0by0Xxv48SPQq7YGtQAPD09NRXkTRmwr4Z2Br4jB2w6JwtFgtXr17V3yKNHXZDoqU51xoSGjf6bFMIS0Ftba3VqeTymUUNhd/cOH5Iupob1o3k33itOWlpTh3cSBzNaWc/Znr+27qRr9n6/4/ZnptbPw2lw9bvWPivWSwWXfRkZGTg6urKpUuX0LTv/HrElKktka7430aJHoVdME5tCUvPkiVL2Lx5M5qmfc9acbNpbDAVaZD9CeRjDGRzvi3LRlOdvzH+hu6zNQg0dL/xmvgrCzjZb0KEI6YYGrL0NBZXUwNWc/JzI4Nrc+K9kfiMaWwsTFv3/zcDfWPXmyprW224OeV3o+XWWLi2yrI57cBWOE2Vu628G9Mmto8A9Omt9PR0Pv30U3JzcwGspohF2xe/EXv0OYpbjxI9Crsgd2Ki0wGYMmUKKSkpaJq1NehWp9c4vSL+Cmdg4/TArU5vU2UvT6fIPh7i+8Z8JhSKnzLGqULZFy84OBhHR0d95aLRSiv7293qfCjsgxI9CrtgHHiF+XnAgAH6TrHinp/CwGt82xRviOXl5QBWAu6nkN6mMK6Q0TTNyh/D3lOLCsWPhdFPTDjDAyxatIjhw4ejaZqV75vskH87vLgofjyU6FHYBaPoEZ1S9+7d9f1ffkoiQqRHWHSEJUSsgLqdnCDlchVWNqPzbWObvykUP2XkdiuvLgOYNWuWLnrEyjlN06xWM94Ov2HFj4cSPQq7YOyYhPm5X79+nD17Vr/+U3nrkgVaYyuzbocOUxZwxn12lOhR3O4YLT2AfuTKv//9b0aNGoWmfSd6bE2HqXbfclCiR2EXZDEj9goBcHR0ZMeOHQA/KdHTmPPn7ba/h5xuW9NZDTmeKhS3A8ZFEpqm6f3LokWL+PTTT3Uh1Jgz963Oh8I+KNGjsAuyWJDNzxMmTGDLli36PT+VDuhGVrnc6rQ2Jy83wq1Or0JxI1gs17e/kDe7FAsl1q5dy9y5cwFs7sgs/1W0DJToUdgF42oo8SY2fPhwfcn6T8mZtqklsrdTh9mY1ep2y4tCISO3X3nrBbFQYvPmzSxatEiJHoWOEj0KuyAEjbx9PVz36ZFPd/6pTG8pFIqfPnJ/Ib80iZeqLVu2sHjxYl303Or0Km49SvQo7IJR9AhHwx49erBt2zYrq4MSPQqFojkYVyYKq43xwFFAX62laNko0aOwC8aOSfj09OjRg5ycnEYdbDWt6amZxu6x9Uxj/iy24mwojKbS1txppMbCbSyeG4mzqfz8mOloqBwbSseN1F9T6WyobI1l39zyupE6b27YP6RN/zft8Ea+byoNP7RtNCftzWnLtu43nq8m+pdNmzaxcOFCQFl6FNdRokdhF0THpGmafmqyED35+fn6m5l8COWNdIQ3cr+9wvpfSMfNzIfcNv7bsrBnm7FH3TS3bH5Imm2F+0Pi+qm0UVsHpgqfHtnSo0SPQtOU6FHYESFoqqurdZHTq1cviouLddNzQx2bfGSCcEgUb3fiuvy2J59sbauTtHXKtPGUa1thGJ9trCOWaWywEJ/lk7vlPDVVJvKeO8aBwHiKt3yffPSEKEdxIKnxFHFj2PIAYytekX5R77KYNd4j15m8+sZYFuLAVDlcuQyNh0eKv2KLBFtlbuuEdnFdDl/+LOKS92pqqJ5EPmy1ReMGkfJ18ZsxHg/SUP2KupPDN+69JN9rbAu2wpbry1YbkMvQ2K4a+i3L99n6bTX0uzW2BVthivzKW2KsW7eOefPmKdGj0FGiR2EXjB21eBMbO3Ys2dnZaJr11vDycQniuni+urpav15dXa0vVRWI58VqDnkglwdX46AuBtWqqio9PvlsHjFQGAWTvOmf3BHL141xymUi/m88ENTWIC6nQZwULc7SMgoWsSW/SL8xb2azGZPJZCWARFlWVVXp2/nX1dVhMpn0eOVyNm5waBRZYgCSpzVFmYo4jXWmad8dGSAOeTWKHrlMxfWGRI8IQ+S5vr5ez494Xk6buC7SJ54X5WoMS5STXOdymcjHHxj/L7dlWaSIcpPzJvJkFAjyoC/HWV1drbcRWfiJ72VRLufduJ+TiEN8FtfEy4toI+K3KdqcLExE+ci/Y/nQW+HnJ/9m5d+7XAainYhrctxG0ePl5WW1ZP1W94OKW48SPQq7IA+O8pLShQsX4uvri6Z915nJA7u4Jg/CYqAWA1Z1dTUmk8nKSdpkMumdp5hOkwcFEZ7cEYvwKyv/P3vvHZflkfX/q8kmaoqbbNx8057Ns9nXN5uvqT6765M1m7WlWKMQFSwoCioKgiCIIAoqIkUBASn23jVqEruxgCJdmtKk916syPX+/ZHfzA5XbopbsiX8MS9u7vu6Zs45c86Zz8ycmdMkwYHqiNXjsGLwUv/qgZQYANTBUh0gVKCjDiYqvYZuTha/NzY2cvfuXdmOkIdoUwUU4rfbt2/L3xsaGmhqauLhw+9P0zU1NUlehHyEHMRvd+7caZWZWgUdqgwE/UJ+9+/f/wFAFTfk3rlzh9u3b/+gbgG2xGCmDnKi70S9KrBSgYIKSISuNDc309jYKPtFfKcHegIkiEFX1CtkJmhW5ST4E9+pIFMFUIIfIQO1XdG2kJfoL9HXKmjQ8/DgwQPZx/fu3ZP9JmxI/SzkrddNobv6PlVtRfSNCkjVNlTbUPVBpVe8q/IseBWyVnVA1X3VntUToaItoTPh4eF4eHgASIDZVX7apQv0dJUfpehnlWJG7+zsLC8n1LQfrn6o9/qog6VwjOrgrg4sd+7c+cH2gbrSJAYUtQ1DM3R1dUFdwTC0xaVvTz+QtLWVoV/yV+lpb3tNDIhCnurv6jaGfsAS7TU1Ncl61QFaHUyErNSBUK1fHXQEHfotCk3TWq2ciMFRBYcCPKirCvrVD/02mKpT6uqESqP+wjpDdan9pQfboj7Bn6hTBXPqSoZavwp69SuD+i0aFUyo8lVlJfpa1RXBt0q7ukpmaKVRBYB63RZFfVfQZEjnhd2qYF4F8HpdEe2pvAjZiWf0K6qCXv0KkCoHVR7qSqSvry92dnZdoKeryNIFerrKj1LUAUY4ZE3TmDp1KoGBgTQ2NlJVVUVlZSXV1dXU1taSn59PdnY2RUVF1NTU0NDQQHl5OXV1dTQ3N1NXV0dlZSXl5eWUlZVRV1fH7du3qayspK6ujvr6esrKysjJyaGoqEj+Xl9fT3V1NXV1dTQ2NpKfn09xcbFsu6ysjJKSEvm5qKiI3NxcCgsLqa6uprGxkfr6ehoaGuTMura2lsrKSiorK6mpqaGuro6qqipqamqorKwkPz+frKws8vLyqKyslKBMDACNjY3U1dVRXV0t36+oqJD81tbWUlhYSGZmJrm5uRQXF1NTU0NtbS319fXU1NRQVVVFQUEBRUVFlJWVUVlZSUNDA/fu3aOyspLc3FyKioooLi4mPz+f/Px8ORCIgbWhoYH8/Hyqqqok/6WlpVL2oo9qa2spKSmhuLiYpqamViCxqamJ2tpaSXdVVZXsK/FdQUEBOTk5ZGdnk5mZSWFhoZSLkF1JSQlFRUUUFhZSUlJCaWkpFRUVlJaWUlBQQHZ2Nunp6WRmZlJUVCTbETP+pqYmSWt5ebmUU2VlpfxcUFBAaWkpOTk5pKWlUVJSQk1NDU1NTdy/f1/2Q1VVFbW1tVIPa2pqqKiokP1y69YtCgsLyc3NJTs7m5KSEhoaGmhoaKC0tJTCwkIKCwvJz8+nvLxc6pDo69zcXAoKCsjLy6O4uJjCwkIZ69bU1CTto7y8nJqaGurr6yU9tbW1lJaWUlpaSnZ2ttTV4uJiKioq5FbenTt3WumosLO6ujopl+LiYvLy8sjKyqKwsJCCggIyMzMpKChoZU/l5eU0NTXR1NQk6xH0lJeXk5eXJ22yqqpKFqEfpaWllJeXy3eqq6ulTVZUVFBSUiJlXlpaKvu/qqqKhoYGaS9CfvX19dTX19PY2Ch1rry8HFtbW6ysrNA0rQv0dBU0rQv0dJUfqaiARwz0LS0tzJkzhzFjxrBnzx7Wrl3LmjVrCAgIICIigtWrV+Pm5oaPjw/r1q3D19eXFStWEBoaysGDB9m8eTPbt29n/fr1BAUFERYWRmBgICtWrCAwMJA1a9awcuVK3N3dcXR0ZMWKFfj5+eHl5YW7uzseHh54enpia2uLq6sr3t7erF69GmdnZ+zs7PDx8cHJyQkbGxsWLFjA4sWLWblyJb6+vri7u+Pl5cWmTZsICQkhMDCQtWvXEhgYSEhICGFhYQQFBUnaVq1ahbu7O97e3oSFhXHw4EHOnDnDuXPnOHLkCDt27GDz5s2Eh4cTGhoq3w8KCiI8PJywsDD8/Pxwd3dn0aJFeHp6Spn4+/uzevVqPDw8cHNzw8XFBWdnZ/z8/Ni0aROHDx9m2bJlWFlZ4erqiqurKwsXLsTOzo6wsDD27dvH9u3bOXr0KCEhIbi5ueHn5yd5Wb16NeHh4YSEhODr60tISAibN29myZIlLFmyhKCgICIiIti6dSvbt29n27ZtbNq0ibCwMEJCQggJCSE8PJx169axYcMG/P39cXR0xMnJCXd3d5YvX46/vz/r1q0jIiKCFStW4OPjw5w5c7CyssLFxYV58+Yxe/ZsXFxcsLW1ZebMmcydO5cJEyZgZmaGq6srq1evxtvbW7azZcsWyceaNWsIDw8nICCAdevWsXr1aik/FxcX3N3dcXNzIzAwkHXr1uHv78/GjRvZuHEja9asISQkBG9vb/z9/Vm5ciX+/v54enri5+eHlZUV1tbWuLm5sWDBAqysrHB0dMTHxwc/Pz+WLFmCi4sL9vb2mJub4+zsTHBwMF5eXixdupSVK1eyaNEi+f7SpUvx8PAgPDyciIgIqRNBQUEEBARIvQoNDZW6JuhdunQpzs7OLF26lHXr1uHt7c3GjRs5dOgQ27dvl326YcMG2TfBwcEEBgbi4+ODm5sb9vb2zJ8/H0dHR+zt7Zk3bx6Ojo54eXnh4uKCjY0NHh4ehISEsG7dOry8vPD39ycoKIjAwEAiIiJwcXHB39+fnTt3yrrXrVvHzp072bRpk+yHsLAwyVtwcDDBwcGEh4ezY8cOIiIi2LhxI3v37pXviRIeHs7atWvx8/MjLCxM6pWwA1dXVzw8PBg0aBBubm5oWhfo6Srfly7Q01V+lKKCHnXrZO/evcyaNYtVq1Zhb2+PnZ0dCxcuxNnZGR8fHwIDA3Fzc8PW1hYzMzMsLCywt7fHysqKOXPmsGnTJvz8/Fi+fDmOjo5MnjwZExMT5s6dy7Rp07Czs8PX15eZM2cyfvx4xo4dyxdffCHL6NGjsbS0ZN68eSxYsIDZs2fz5ZdfMnLkSObOnYuxsTEmJibY2NjIQXbs2LGMHDmScePGMXnyZGbMmMGCBQtwcXFh6dKluLq64uzszJIlS1i8eDFLly6Vg+769eslePHy8mLt2rUSmHl6erJq1SqWLl3K4sWLcXd3l4OYm5sb/v7+hIWFyXYWLVrEtGnTMDc3x8zMDFNTU5ydnbGxsWHq1KnY29szYMAA/ud//ofXX3+dCRMmMH/+fKysrLCyssLCwkK+P3PmTCnjJUuWYG1tzZw5c3B3d2fOnDksXLgQJycn7OzscHd3Z9iwYfTr1w8rKytmzpzJxIkTmTRpEjNnzsTZ2ZmVK1eyZMkSHB0dWbJkCW5ubjg5OeHs7MysWbOYPHkyHh4ercCqo6Mj5ubmDB06FBsbGz7//HNGjBjBnDlzGD16NEOGDGHixImMHj2akSNHYm1tjYmJCdOmTcPe3h5ra2tMTU0ZP348kydPZvbs2bz11lsMGTIER0dHnJ2dsbW1ZfHixYwbNw57e3tWr16NpaUlfn5+hIeH4+/vj62tLV9++SWmpqYsWrQIKysrlixZgqmpKVZWVgwfPpw//vGPvPbaa7z66qsMGzaMefPm4eDggJ2dHXPmzGHy5Mmt6BCyHT58OF9++SVz5sxh/PjxjBw5EiMjI+zt7XFycmL27Nk4ODhgb2+Pi4sLU6ZMYdKkSRJUubm54ejoiIODg9QzNzc33N3d2bhxIytWrJCg19fXV8pl1qxZLFy4kKVLl+Lm5oanpyeurq4S2Njb2+Pg4MCCBQuYO3cuc+fOZdasWcyZM4cFCxZgaWnJl19+ybRp07CxsWHOnDnMnj2byZMnY2pqyty5c1m4cCELFy4kKCiI+fPn4+Hhgb+/v5xELF68mDlz5jB//nzc3d1xd3eXPLi6urJkyRIWLlyIr68ve/bswcvLi1WrVnHw4EH2799PaGgo3t7euLq6Ymdnh4WFBbNmzWLx4sW4uLhgYWGBkZERo0ePZsyYMbJPTp48iaZpXZcTdhU0rQv0dJUfqehBj9jvr6ysJCUlhevXr5OYmEhCQgLXr18nPj6ewsJCamtrSU9PJzY2lqioKGJiYoiNjeX06dOcP3+ekpIScnNzuXHjBvHx8Zw/f54LFy4QExNDZGQkqamplJeXk5yczKVLlzh16hSnTp3i7NmznDt3jjNnznDjxg3S0tJISUkhLi6OyMhILly4QHx8PFFRUSQkJJCVlUVqairfffcdJ0+e5OzZs5w9e5YTJ05w6dIlEhMTuXHjBjdv3iQ1NZWkpCTS0tK4fv066enplJWV0dTURE1NDbdu3SImJoZr166RkJBAfHw8SUlJ3Lhxg8zMzFbvpaamkpiYSGpqqtxmKigo4NatW6SkpHD58mUuX75MZGQkkZGR5OTkSFls27aN//qv/+J3v/sdCxcuJD4+XtZ548YNUlNTOX/+PCdOnJAyOX/+PHl5ecTFxXH16lVSUlKIjY0lPj6exMREkpOTiYmJ4d1338XCwoLk5GQuX77MiRMnOHHiBGfPniU2Npb09HRSUlJITEwkJSWF1NRUEhISSEhI4Nq1a8THx1NaWiq3V4qLi0lISOD8+fN89dVXJCYmcuXKFSIjI7l+/TrR0dFcvHiRq1evSj24desWN2/eJCsri6ysLJKSkrhw4QKnTp3izJkznDlzho8//pipU6dy/fp1kpKSiI+PJzk5mbNnz5KYmEhubi7JyclyG7G4uJjY2FipJ7GxscTExJCSksJ3333HtWvXOHnyJEFBQYwdO5aePXsye/ZsMjMzycjIICcnh8zMTOLi4jh//jwXL14kOTmZmzdvkpSURHR0NFFRUVy9epULFy5w5swZzp8/T2ZmJllZWXK7TvT72bNnOX36NNHR0aSlpXHjxg2SkpJISEiQdpOamsrNmzcpKyuT25Y5OTnk5+eTmppKVFQUJ0+eJDo6WurnzZs3Zf8I/UtNTSUjI4OMjAz53I0bN8jLyyM5OZnvvvuO+Ph4cnJySEpK4sqVK5w7d07aW1JSEsnJybJd0S8pKSkkJydLGUZFRZGens6NGzdITk7m+vXrpKWlkZaWRlJSEtnZ2VRUVEiZii25/Px8KcfY2FiuXLlCdHS07FtBz5kzZ/juu+9ISUkhLy+PhoaGVrGCXeWnXbpAT1f5UYp6jFhf9MHG+uBeNTDS0O+Ggnz1z+kDMvXBmZ0tf20dhgKe/5oiAj8bGhpata8GItfU1LB582bMzc2xtrbmyJEjlJSUGAz+NcRLWzSKgGYBeq5cufKDY/KdkYWhgFhDgeD6U20d1a2eGhLbp35+fnz66ackJSW1CtLWBxcb6ht9eyqPTU1NxMfHY2Njw4gRIwgICKCiogJNa309gEq3noe2AoQNtfmo+tURL39NMVSHIfoM9eWj0NJWkH9n6Gsv6FoNvO4qP93SBXq6yo9S2gI9qhNsC0h0Fmi095wYDPXHcPUDdkdFX4f+Xpz26DR0sqU9fg09J+Khamtr5dH8e/fuyQDenJwcXFxc+PTTT3F1dSU7O5vbt29z+/btNnlVv9efIhIDeHPzX45FBwQEMHToUBmUqh7VfhR5tjeAPkqfqHQKWsSR5YSEBF5//XXc3NzkcXP1OHR74EavI+rxeHHiqqioiIiICIYMGYKbmxuFhYWtArrVY9aG9E2vP3reOyvTtkBFRzbxqLqvf7ct0NsZGjripT0d6Yx9qu+rPqir/LRLF+jpKj9KaQv0qN919NlQPfo6O/OMoVlfW7/rnzX0f2fq6Ug2HT1n6PSbeu/M/fv3OXz4MM7OzlhYWLBjxw65pdbU1ER9fb0ETW3JtC36xWCjaRp1dXXMnDmTZcuWoWmavLOmrVl1R5876p+25N/eswKQaNr3wasmJib88Y9/pKyszODleR19VgGrCqjECa979+5x8OBBRo0ahbW1NZcvX6alpUWCUgHIDPHdlh60xWdbutgZ+XWk9+3V21F7HfHRkS11htfO8NMZH9JVftqlC/R0la7yb1D0IETMZu/cuYOmady4cYM//OEP2NjYcOPGDTnLraurM3gnS2fbFQO+CALNyspiyJAhnDp1Ck3TWtUrZtT/CjISM31N09i/fz+/+tWv+PrrryUvjyIHvewFaBJ3C4nVnNOnTzN69GhGjBhBYmKivAxSDwr/2brUVbrKT7n8W4Kezsw8Oju7MPR9e/+3N1PV09je+x3x96j1tUebIfm01aah2VV7sv9HzUY7oqWz9HZEc2d05FHk1V7fdUYX26JNHTTV22hLS0s5cuQINjY2zJo1i/T09FbpHcRz7V1E154c1NUlTdNITU3l97//PaWlpa3a0LS/AKTOyqOt79qirT07McST2IYqLS1l+vTp2NnZUVtbaxCEdKTPQhZilUdspYibrIUMoqKi5Em41NTUVtuFHfHVGX3qrK20pU+P6o/a0//O0tBRn3dkax3Z0qPYcVtyb+v9jtrvSC8NyawzPqkjeTyKDT2Kf+pMW+3V21l9aa//2+rjjuyns+U/AvR0tnQkvL+1nn9U3X8Nr4/Szj+i/n9keRQZ/S28/a1y6ez7nXlODNJqvEJubi6enp4MGjQIe3t7bt26RUtL61xc6vX9hrZYOlPU7Z1Lly4xevRoALmtpr/d+O9pm+pvHQ0++iLiPDRN49y5c/Tv31+u9oiVsEeVg1jlUdNMVFdXyyDv+/fvc+vWLYKw8ayPAAAgAElEQVSCgpgzZw7Hjh2Tv4k229LfjmTQEd8/th13ZIc/Jj0/lq3+rfV3pp2/1b89CqD4V+6TR2nnPxr06BlWnUh7JwAMBceJ3w391bfR0Xv65w391tHpg/acsKHfDdHT0tI6nYJeZoaCag3Vb6he/bOdDco1xJ+hZ9qTkaGZckfy66ysDQVM6nnTv2fos/55vcwMtWOI3rbaE3/FySE3NzeGDx+Oj48P2dnZctBtbv5Lmo3GxsZWCTcNBc62J1e17QcPHrB06VJcXFx4+PD7G37VZJCGdMgQuDBUv6CpLTk8SlCr+F0NQK6pqeHDDz/EyMhIxjfp6W5PV/X1qluG4oZg8b04Xefs7MyQIUMICQmhvLxcttFWCg11Zc6QLnXWh7Sl6x3ZgaE2DOlzRzIzxKeh/m1LPzoqbdHdno615asNfa/6TEPvd1Z+7bXTXr909HtbxZCv0tfR3u+dtdXOPNuerPV1tBX8bqh+Q3X+JECPyrx6KkLNfyMMTD9YdkZRxTtqLiG109WBUs01pKexs53WkXLoHaJ4RnUq+mSBQiZqzioRAKvGNBhy7Op3Qqn0stHT2dZAqped6Cex9SD4UJMtdgRwOuPE1DoMORK1D9sz3vaMT8hY364h/g3Rr89vpMpD/azqcn5+Pps2bcLMzIx58+Zx7NixVnEj6kAv6BP/qzyrf/XvqPSJ9zRNo6SkhA8//JCvvvpK6pxeJ/V2ovJiaIAU9qLqRHsg1FA/t/WM0KXGxkYAPDw8eP7550lKSmpzYNHTquqtId0Sq2eq7xHxT8XFxTg6OjJmzBh8fHzIzMzk4cOHrXRfBQJqX6s0GJJhZ/2Jqsdt6bhq3x1Nktrzm3r5qX6mrf5TY6/09tRWUU9mtVWfoe/1IEyvN2qSV5UW/YRbvK8fH1S/oCaGNSRTfZ8aklF7smjLH+r1R++f2vOZbflt4Qva6vOOfGVbdqzai6F69fnc1BVTddX6Jwd6RO4jkSensrJS5jISzzc2NlJZWUlVVRVlZWUyD4yYpWma1ipzt1Bk9QisyGitKrZQfEOOVj+gCvrESZrKykqZH0nkp2loaJBttKU8AsgIR6UHO3V1da2MW83yrSqmGGT0hiVmqSIZpZodWc0ILWgXfJSXl8s8WBUVFeTm5pKbmytz41RXV7fK0SQGo9raWilDkatItCXyPlVUVFBWVibzVQnem5qaZN4dkb9H5NcSPDc0NEgZq8BPjbUQeYeqqqpkniXRZnV1NSUlJTK/k9ADcQT84cOHNDY2tsqD1dDQQF1dnTTI+/fvU11dTWFhIeXl5VKOescntkzq6uqkLtTX18tno6KimDt3Lm+99Ra2trbEx8e3OkYt8kGJPqmpqZHBto2NjRQXF1NUVER+fj4FBQWUlZW10hVxpFscfxe6L3jYvn07r776KhcvXqSqqori4mKqqqpaZeQWuirymgngpIKjBw++v0uoqKiIkpISCgoKqK2tlVm/RX400QcVFRXys9C5kpIS8vPzycjIIDU1lVu3blFRUSHzod29e1fmIxOXQl65coVf/epXeHl5UVJSQmNjo+xf8besrKzVoNfY2CjtQWRVr6+vl6fWRDtFRUUyV5rIj9Xc3Ex5eTlHjhxh7NixzJw5k4SEBCorK2W94kLEjIwMCgsLycvLIzs7m/z8fKqrq1vdxyQGWZHrTQSpP3jwgLq6OsrKyigoKGiVOy03N1fa8u3btykpKZE5r+rr66V+NDQ0UF1dLfOQ5eXlSRkLOxY6JnLVqTmxysvLZV66goICCgsLpa6Jfha51UR+vJqaGhkjpfpVTdOkX29qapIrig0NDa18o9BPdSxQY9hqa2tbyU8/wLa0tMgJovhNnyRYBSmqL1RXTNXnhQ2Iv7dv35a50oSdiPFKtQ11rNEDMnW8KC8vp7S0lMrKSqlvah9UVFTIcUasPgpfK/KbCZ/c2Ngo/VhDQwNlZWXyHbV9QZvQMWEnqv4J+Yl8aarvUydc1dXVFBcXy3yJIpee+F/46urqajkuCMClXv2ggrv/eNCjV0ShKNevXycoKIjly5fLHC5bt25ly5YtrF69GhcXF8T15SLNQUhICKtWrWLLli2sXbuWzZs3ExwczObNm9m4cSN79uxh7969bNy4ET8/P/z8/AgNDWX9+vWEhYURFhZGREQEmzdvZufOnTJ30oYNG9i4cSObNm1i48aNbN68mdDQUFavXo2Pjw/Lly/H2dmZhQsX4urqysqVK1m2bBm+vr6EhYWxZcsWtm7dyo4dO9i9eze7du2Sf0VOJpGTZ926dYSGhrJx40aZa2fDhg3s3LmTDRs2sH//fnbv3i3r27ZtG5s3b5b5rTZu3EhoaCgRERFEREQQHBzMmjVr8Pf3Z+vWrTIP1KZNmwgKCmLbtm0EBQXh4ODAokWLZA4nR0dHXFxccHJywsnJCUtLSywtLVm6dCkrVqxg2bJlrFmzhh07drBv3z62bt0q81EFBwezYcMG1qxZg7e3N6GhoaxduxYXFxccHBzktfshISFERESwYcMG1q9fL3MkrVmzBnd3d5kbS+T/CQ4OlnmNli1bJvP2CJlt3bqVzZs3s3jxYhwdHVm8eDGLFi1i6dKlODk5yRQKdnZ2TJ06FSsrK/z8/Ni4cSOBgYGEhYWxa9cufHx8ZB4qcb2+u7u7zAkUEhLC2rVrZf/7+/sTGhrKpk2b2LJli9S3sLAwtm3bRlhYGJ6envj6+srcSQEBARgbG9OnTx/69u3LkiVLpAxEnqtVq1bh7OzMokWLsLOzY8mSJaxbt47Nmzfj4+ODra0tDg4OzJ49GwsLCxYsWEBYWBj79+9n3759HD58mMDAQDw8PPD19ZU6ERERQUBAAB999BG9e/fG3t6e8PBwRA6voKAgNmzYIHV306ZN+Pv74+vry9q1a1m7di3BwcFs2rRJ2phIU+Hl5YWHh4e0rZ07d0odFHmgnJ2dpS6ItB7z58/H3NycSZMm8eWXX2Jubo6LiwurVq0iNDSUgIAAli9fztKlS1m/fj3u7u4sWbKEl19+mX79+jF//nx8fHxkXjYfHx88PT1ZvXq1pDMiIoKgoCC8vLxkXi8/Pz9WrlyJn58fGzZsIDAwEFdXV6ytrXFxcWHBggXY29uzfPlyIiIi2L59OwEBAbz//vv07NmTMWPGsHjxYjw9PVmxYgUrVqxgwYIFLFiwgOXLl+Pk5ISVlRULFy7Ez8+PtWvXSjtcv349W7ZsISAggCVLlrBs2TL8/f1lbjE/Pz9WrVqFp6cnwcHBhIaGsmLFCoKCgti0aZOUi8i9tXXrVg4cOMCRI0fYt28fe/fuZdeuXYSHhxMUFMSaNWtYvnw5np6erF+/XvaryI3m7e0tdd3Ly4uQkBDpb4SfE22uXr2aNWvWsHXrVgICAnB2dsbZ2Zk1a9ZIG9m4cSM7d+5k//79HDlyhMOHD3Pw4EEOHjzIgQMH2L9/P8ePH+fYsWMcOHCALVu2SD+8fv16QkJC2LRpEzt27GDdunWsWrWK/fv3c/XqVb7++ms2btxISEgIu3fv5sCBA9KXhYSEsGPHDvbv38+BAwc4cOAAe/fulf5SyG7dunUEBgYSFBTEunXrpI9fv3494eHhMj+doEHokMgfduzYMb766iv27NnDrl27pE3s2rWLzZs3s2PHDnbs2CF9sqh77dq1eHt7S38k0tQsXLiQBQsWYGdnh52dndQjkeNPpFYJCwvD29tb+obFixezbNkyVq1ahb+/v8xJJ3LKibY3bNjQKh9aYGAgK1eulH7Ey8tL6qaw/8DAQPz9/Vm/fj0RERGEhoYSHh4u5bhmzRqWLVsmx45Fixbh6OiIo6Oj9L2enp4sXbqUxMRENE2TwFisOAlgLCbAPynQo67o+Pj40K9fP0aPHs2nn37K8OHDGTVqFGPGjOGLL77AxMQEc3NzTExMGD9+PFOmTGHGjBlMmTIFY2NjJk2aJPPITJw4kVGjRkmn+vnnnzN27FjMzMzkYG5hYcGUKVMwNTXlyy+/ZMKECXzxxReMGjWK0aNHM2rUKPnZyMiIzz77jAEDBjBx4kSmTZuGsbExgwcP5uOPP+azzz5j4MCBDBkyhJEjR8qcUF988QVGRkZ88cUXjB07lvHjx2Nqaoq5uTmzZs3C0tKSmTNnYmFhgYWFBTNnzmTGjBnMmDGD+fPnY2Fhga2trcw0LHLlTJ06lZkzZ7JgwQJsbW2xsLCQfM2YMQMLCwuMjY358ssvW8nvs88+w9TUlOHDhzNu3DgmTJiAsbExo0aNkrwPHDiQoUOHMmzYMIYMGcLgwYP585//zKBBgxg2bJjMizNmzBjGjx8v82nNnDkTc3NzzM3NsbS0lH9FTinBt8i3Y2ZmJvmwtrbG3NxcylY8Y2Fhgbm5OZMnT8bY2BgjIyMmTJjA1KlTMTIyYsSIEYwaNQoTExNMTExkO1OnTmX48OEMHTqUIUOGyDxMI0eO5JNPPmHEiBEMHz5cysHIyAgTExMmT57MpEmTMDU1ZfLkyZIOkSjTy8uLJUuWYGlpKWkX/Th37lxsbGxkIlRzc3OmT5/OtGnTmDVrlvw8d+5cmS9pxowZTJ06lfHjx/PFF19IvTY1NWXo0KGMGjUKS0tLHB0dGT16NH/84x+ZMGECEydOlDmKhg8fzqRJkxgzZoyUkbANlf7JkyczcOBAjI2NcXBwwM/PD2tra1nX559/zmeffcbw4cMxMTHBysqKWbNmMW3aNKZPn46FhQVz5sxh1qxZTJ06FQsLCxwcHGSOMisrK4yNjZk6dSqDBg3CwsICMzMzaRNjxozhz3/+M59++ikjR45k0KBBfPHFFxgbG8v8aJMmTWLYsGF89tlnfPbZZ3zxxRdMmTJFyk/Y6siRI2UeL2EzTk5OEsSZmZnxySef8Pnnn2Npacm0adMwMzNj2rRpmJqa8sknn0i9mDRpEuPHj5d1ffnll0ycOJGJEycyfPhw6VuMjIykTU2aNAkzMzPMzMykT3J1dcXd3V3mlLK2tsbJyYm5c+cyc+ZMpk6dyuzZs3F2dpY5xiZPnizpt7W1xcPDAy8vL1auXMnKlSvx8fHBy8sLGxsbZs+eLfNaCXC0evVqOYD7+/uzYcMG9u3bx6FDh9iwYQOrV69m+fLleHt7s3z5cglAPT098fT0xMPDQ+YJW7RokZzAfPvtt6xevZpFixaxefNm/P39JTgSOciEXU+fPl3609mzZzN//nwWL16Mt7e3BBgBAQGsXbuWoKAgvL29WbZsGS4uLjg6OmJtbS1lIPzX2LFjGT16NBYWFkRERHDw4EE8PT2lvYkcbFOnTpV9MW/ePOzt7aVPFDnlBJAQ/0+fPh1zc3PpZ4XvFHYs9FzkrhM50EJDQ+VkTiSatbS0xMHBgWXLluHk5CQBzfz58zEzM5OTE1tbWxYtWoSJiQmWlpbMnz+fqVOnYmxszIQJE5gyZYrMOSgS8Aq/IPyQ+E34ukmTJknfYm1tLXO/zZ8/X/IjfOjs2bOZOXOmnHwKf2hlZYWzs7N83traGg8PD5ycnKTvMDc3Z+zYsYwdO5YpU6bIHH7CzocMGYKpqSmfffYZf/7zn5k8eTKzZs3iT3/6E87OzjIWUfxVt/DU7cP/aNCjMiu2ODRNw9HREWNjY06cOMHu3bvZv38/u3btYv/+/Zw+fZqYmBiSk5Nl/p2kpCSuXr1KdHQ0x48f5+LFizJny9dff82BAwc4deoUR48eZevWrZw4cULmfYqNjeXatWsyd87x48c5evQohw8f5tChQxw8eJB9+/ZJB3Ls2DF2797N+vXruXjxIgkJCXL2cfDgQY4fP86uXbvkis6+ffvkrEPMwMQKydmzZ4mOjpY5gQQtV69eJSYmhri4OK5cucK1a9eIjo4mMjKS6OhooqOjZe6p8+fPExcXJ/PuxMTEyHLt2jWZX0jMTI4ePcrJkyfZt28fJ06c4NChQ1y5ckW+ExUVxeXLlzl79iwHDhzgm2++4bvvvuPs2bN89dVX7Nu3j4MHD7aaPR04cEDKQuTRuXbtGnFxcbJekVsoPj6ehIQEyYvIq3X+/HkiIyNJSkoiKSmJuLi4Vu/HxsaSmJhIUlISkZGR7N+/n6+//prLly/z7bffSv0Q9cfHxxMXF0dsbCznzp3j66+/5siRI8TExJCens6VK1c4cOAAO3fulEkQRZ/ExMSQkJDQqn1R4uLiyMjIoKCggKysLOLj47l8+TJRUVFERUVx5coV4uLiSEhIIC0tjczMTFmX6I+YmBjS0tLk9kVaWhqxsbFcvnxZ6t+5c+fkeyKn07Vr10hKSuLbb7/l0KFDXL16VdpBZGQk27dv58iRI2zbto1t27Zx8uRJmWtLtB0bG0tkZCTffPMNycnJZGZmkpubS1paGgkJCZw4cYKdO3eye/dudu/ezYkTJ4iNjSUhIaGVzcTExHD16lUiIyNlPrMbN26Qk5NDQkIC33zzDceOHWPjxo2y3ZMnT3Lu3DmZk+vkyZN8++23HD9+XOafSklJIS0tjZiYGA4cOCBt6OzZs8THx0ta4uLiSElJISYmhtOnT3Px4kWuX79OSkoKGRkZZGdnk5qayunTp9m6dSu7du2Seb6EbkVGRsrZ+tdff82FCxeIjo6WecmEXV2+fFnKNjo6WualEjnI4uLipN7FxcVRWFhIfn4+mZmZpKeny/xXCQkJXLhwgYsXL7ayCUGP0Nfk5GRycnKkfmRnZ5Obm0thYaHsS5EXKy8vj4yMDDIzM7l16xbZ2dlkZmaSn59PZWUl9fX1lJeXyzxehYWFZGZmyvxyYhsuNzdX5scS9N66dYv6+nrJS1lZGUVFReTk5JCTk8OVK1e4fPmyzLUn/JfQD5GPTuQBE/m7srKyyM7OlvnxEhISZA4y4euEPezbt49jx44RHx9PQUEBBQUFJCUlERUVRWxsLElJSVy+fJnTp0/z3f+fC+zq1asyr9ulS5e4cOEC58+fJyEhgcTERGnXqk0I+1V9p/gbHR3NtWvXSElJ4datW3Lb8ubNmzLvndCbtLQ0qRtpaWnSPwhfl5ycTEZGBrGxsaSkpHDz5k0SExOlrJKTk6VNJyYmkpiYSHR0NOfPn+f8+fNcuXKFS5cuSTsQfk7ooLCLrKwsmVvv6tWrks/4+PhWud9EPSJvmuA/MTGR7Oxs0tPTpd1HRUXJcfHs2bOkpaWRnZ1NYmIix48fl3Z85swZDhw4wLVr17h+/To+Pj6MGDGChoYGABkSoGnaD7YefzKgR8SlCOTn7OzMhg0bAFrtqzY3NwO0el5/Zb7+LhNN0+RepaZpBq/Ybw9lqrE9mqYB3x/vFTEpaoCw+qyI19EHRYtlvTt37rQKWDN0CkTd11b3qkWwq1qfKj99QJohNK3uzarBZvoYGbWPxOqc+rs+iFbdz1f7RKRYUL9T93T19LYlh/v378t4EU3T5D6+Sp8+oFj/vT7wWs+n3hDV+vTB8G2lbBAy0Ad163VDPKc3fLVvBP364ECxv6/eKqxp2g9ixfR0iJlWc3OzjGdR6VVj0YS+6+OF9IGOatyZqpfqSTP1+fv37wP8IDZDlbX6rhqzoeqq2p4+hkK0qcaLiN+E/QmeVX8k4tDUuKY7d+5IeoUuC371stVP5vQB7Cq9+qBqNW5C/V7VHZU3vc7q9UTdRjAU56j6IX2ci97+9P5Cr/Oq7ao2obcpISd9oK7Kg+qHHj582CruThQRqKzWYcj36WN11N/08Td6GRmyOdV3qLZiqF1VBoJmEQekr0/vN/WyVIOx26LNkP805Fv1z6knRVUbE9+Lz0LvBf/6MUaVofh86NAhxo0bR2Nj4w9s4ycJegSzd+/eBaC+vp7Zs2eza9cu6cD1A4GqpELxhRGJv0KxVJAhAIihwDNRr96w1QArveKrtKgBYPqBQO1QQwO6Pp+PejOsAFeiDbENqA6cIvhVb8hqUb8XSqwP4BMnHtSjy+rAoAILPW+CB5WXu3fvyiDaxsZGGciotqfnXU+X6pSEMxR9K/pZdQiGALBKq9ARPX96Ry76Wf1fAAJ9QLiaQkJ8J+rSgz1VzqreqjzqAy7VAV0fRKwGsKqOSG1P0C3qEyDp9u3bNDQ0tLIPNbWDABVC11S91OuRsGH1tKEKrNXTbXrZq2BLlbVevwSfAviLu3VUuav16fVAfCfe1zt3VcZqgKpK9/3792U6EKHf4l11EDRkh3qQowdM4hl1+V8/OVAHIbVO9Tn9YKeeYlLtTvUloo9UPlQgpwJQUYRsVP5VHTMULKwHlXoAYohm4T/U75qb/5KYV/+s3peoPlXfL2rfq8+q/lSVux4oiPZV0GoITIn2xQWYqqzVyabefwmbUnlUwYJed/RgU8+n+p7Kp3hXtTG9/au2rfKmB4xqH7a0tLBhwwbGjRsnxzIhO/0Y+5PZ3lIBgqZpVFZWMm3aNLZv3y4dr6poKggS34nPehSp/lUHRj0g0TtjFRmLZ9RZsx6I6QcsfVGBkiEQp9Kq51EFYurgrB8YVKXR0662o9Kv1qfOOPSGpW9ffUYdTAXAVAdedUanHpvW82yIDrV/9fqiP62mX4HRz4j0fannR31GtKe2b2jmrdchdQaoflZnaGq7wmGI7x88aH0bsh7EGALk4q8KjtqaPevfU4HS3bt3W/Hc0tIina3gX5WxqvuCJsGLXrf09qAHmXqAZ0g/9Hag2qr6vboaqbcxFUzr6VABiVpUmtRnxKCh9z+q41ZpUm3Z0KRP1U31r6CxLZ9pyCbVCZohO1PrVWlU6Vfb1feHIb+o92lqnXq6DfHe1rOGALJeBqov0Pt0Q3Ua+t6QvPV0GJKHIb03xK8hX62OCSpwUPtaBV9t6Yo6Zun1V+//VDkLO9Lza0jO7emdofaFfQCEhYUxcuRIbt++jaZpP1ih08vqPxr06A1J0zRqamqYPXs2+/btA/iBMhsSkiEl/VtKZ+p6lPb+nrT9GMWQg9X/LgxIzHRFPxmabYoZgxhk9dtz+jb/VeVlSC7/6jR3tk878/4/o92/B01/LQ0d2UBbz3TmvUfhoaM2/pY62nr3r6HzH6lDf+86/xF0/iPLo+j6P4MWQ6D9wYMHAKxbt44ZM2bICZR+IUMFdD8p0CO2tzIyMpg9ezaRkZGtQI8q2P8UBf9XUuRHLfq+U+kUKF6/BCqWR9Vlzn9UX/29ZdbZgeVfsa9+jPL34vs/QYb/CvT/O4OBfwX5/TvT1xGdf0/69SvIom6A+/e/j9vz8fHBw8Oj1eqrfhtcnUj/R4MeVXgC9Fy6dAkTExPi4+Ol4PQC1necftalb0P/7F8zS2prptTWs4b4bI+O9pSzI3rbk2tHtHeGprbaVwGN2F8XMRZqrIrYPhGXwqmgtzOG2ZFM25NJR993RmYd9ZVe79rqq/Z0ob1+6ai9zvZ5Z9ruSG874q0zdbfHX3vPdFZXOiOH9ujoqP/b470zOtpRv3X0W2ft5VFkYqjtjvrsUfjsiH9DNt6RzDujH52hobN1GdLPtvT+UXThUfr5UeyhI3l09L0h/vS/GwpNUEMzAPz9/Vm8eHGrS4b1MVbqe49S/q1Bj0CB2dnZmJiYcOTIEYAfxDn82DR2lbb7TY3ZOXXqFJs3b2b37t1Soe/evUtKSgp79uzh4MGDVFRUtNq77urTrtJVukpX+fcthmK91Fgl+D6mx9TUlLq6OjRNaxXHZ2il6FHKvx3oURkW4KaqqgorKysOHToE8IMjoP/sTu4qWqv+EKs7K1eu5M033+SPf/wjVVVVaJpGXl4e06dP55133mHcuHHk5eWhaVqrI9OGAhP1Qdj6rbC2gvn0Mx01kFedmehjjvTbbPrfDBXRhr5ttV39TEpfR3uBp3pZ69tVnYuelvYCNQ3Va2gm11bgq1qnXmYd1Wmof/V91V4QpaH+VNvUB9Dq+9mQjPR1tqU/Kg8d6Wd7vxvqU72s9Lah50evT/p22tOR9oJe2yr659vSt/b4Vflqy27aCpDtSLfb0vGu8uOOBXr/Kra3IiIimDBhAnfu3EHTNLmdJVZ6xHt/Tfv/EaCnuLgYZ2dnLl26BNAq6PWvFUxX+fsW1QmJIOZDhw7x1FNP8d5778kcOXv37uW9997D3NycFStWUFpaiqZprU5wGXJshoCQIWev0tKWozZ02kl/oknvNDsCPIbaE3QZOvlmiK6O6jJEU3sDhKFn2hoc2huw9HUZav+voc8QKDLkLNsCwu0N2IaApKHnDX3W64hevw2dQlPpVv2YKIbAbHv8qLLU609b7RrqQ0N91JYOtvVbZ+hsy0b09tNenZ2hSc+P2k57eq32TVf5x48Fbem/AD3BwcG4urr+YBKit9W/pt/+7UCPyqzY1yspKcHV1ZWoqCjgL7c3qk6pq/xzi6rgAvSUlJTwyiuvMGLECFpaWmhoaGD8+PE4OTnJhIfqCa6ysjJSUlJIT09vtcx5/fp1zp07R1ZWFs3NzZSUlJCRkUFKSgq1tbXcu3ePlJQUsrOz5cVqdXV15OXlycSgwvCio6M5efIkxcXF8vvU1FQuXLhAUlIS6enpFBcXywSld+7coaamRt6qKm5TTk9PJysri+vXr8ubcFX+ReJRoaMxMTGcPXu21SympaWFwsJCkpOT5Q3G8fHx5Obm0tLyfSLd0tJSsrKy5D05ov6cnByys7O5desWLS0tVFRUcOPGDU6fPi15E46koKCAkpISmShQPVKuH0DS0tJIT09vdVFfS8v3q3dZWVnk5+fT3NxMcXExV65coby8XNKkJlK9c+cON2/epL6+nuLiYioqKgwm262trZU3HRcVFcnv79y5w9WrVzl9+jSnTp3iwoUL1NfXt6K5vr6e+Ph4Ll68SEZGhqS5oaGBGzdukJyczLVr17h48SIPH36fODYuLo60tDRu3rzZqs9KSkpITk7m7t27REdHc+HCBcmb8EO3b9/mwoULfP3115SWlhSe1Q8AACAASURBVEpeysrKSExMJD8/XybdzcjIoKioiIcPH1JeXs7p06e5fv26nLDdvHmTgoKCVrZTUVEh9UDEuQk7yM7O5ptvviE6OlrSU1lZyeXLlyksLJS6lpuby82bN1vpRGFhoaRf6JiQ5b179+Q75eXlPzgqreqHSCja1NRESkoKOTk5re46a2lpkdvXN27caBW/J25f1l9PUVxczNWrV6murqa5uZnCwsJW/VxaWkpUVBRNTU2Ul5eTnJxMXl6epFPcfiwSSrcHov7ZPvKnUvSTSdWPCNATGBhIeHh4q+s7VL+kB7ePUv7tQI8QmqZp0phyc3NxcHDg6tWrAD8wnH92J3eVv4BVTft+q0o4/9dee41x48bx4MEDgoODGTBgAImJia0uT7x37x7nzp1j2bJlBAYGsmDBAo4cOSJvBg4JCeFPf/oT/v7+1NbWkpCQwOzZszEzMyMzM5PKykqcnZ2ZN28eqampaJrGhQsXsLOz49ixY7S0tFBVVcW6detwcHDAyMgIBwcHrl+/jqZprF69msGDB8skq8HBwbi7uxMaGsrNmzdloj2Rc8bDw4NFixYxZ84cPD09MTU1JSwsTMohKSmJVatWyWzX4eHheHt7M2nSJDZv3kxdXZ08qhkeHo65uTlhYWEsWrSIiRMncubMGTRNIzY2FkdHRzZv3iwHdBEXdfToUWbPnk1wcDCapnHp0iUsLS0ZNWoUkZGRaJpGWVkZW7ZskUkqPT09KSkpkXUIZ6Q6prVr12JmZsbBgwfRNE0OvkePHsXS0pKIiAju379PTEwMn3/+ubwwtLi4mJCQELZs2cLt27c5fvw406dPx8PDAxcXF+zt7fH19ZUARNM04uLiWLFiBcHBwcybNw9bW1v27NmDpmnk5+czffp0Bg8ezKJFizAzMyMgIIDKykpaWlrIycmRfWJnZ8eMGTPYu3cvmqZx9uxZJk+ejKOjI5MmTWLw4MFcvXqVlJQURo0ahb29PXPnzsXa2prU1FSKiopwcnJi8uTJ+Pj48Pnnn8t2U1JSePDg+wzUwcHB+Pn5sXDhQhwdHYmLi6OlpYXo6GgmTpwo+7a+vp65c+fi5OREc3MzN2/eZNCgQcybN4+CggIePnyIp6cnNjY25OTkSPm5u7uzc+dOFi1axKZNm6ivr+fBgwecPn2aefPm4evry/Tp0wkODpaAWSRXzsnJoaqqCgcHB0xNTcnKyiImJoZp06ZJ3aysrMTb2xsjIyNpJ1FRUbi4uLB06VIWLVrEhg0biI+P5+HD1pdyVlZW4uvrKxN9Tps2jRkzZrBlyxaZ2uLgwYMyIfLMmTM5ePAgDx48oLq6mpUrV2JpaSmTTAoQ7+7uzogRIygrK+P27duEh4fj5+dHY2MjhYWFuLu788knnxAfH09mZibTpk3D399fZll3d3fHwsKC7OxsaR/6+9e6QM+PWwytBupXekSiZP2Foz/5lR4Beq5fv46lpSUJCQldoOdftOhBz507d6isrKRv3770798fLy8v3njjDZYuXUpzczMNDQ00NTXR3NxMVlYWgwYNYvjw4Zw4cQJHR0f69+/PgQMH0DSN9evX061bN2xtbWloaKC0tJRnnnmG559/nvLycqqqqhgzZgy//vWvSUxMBODIkSM899xzBAQEoGnfD9ovv/yyHECfeeYZ5s+fT21tLV5eXjz++OPY29sTHBxMUFAQL7zwAqampiQlJeHk5MTXX3+Nubk5vXr1wtPTE39/f4yMjAgODuaJJ55gxowZUha+vr4YGxtTW1vLtm3b+PDDDzl79iwuLi7893//N1FRUdLpL1++nBEjRhAZGcmwYcN44YUXuHbtGgC7d+/mmWeeISIiQjoMAX4uX75M7969WbBgAQCxsbG8/fbbvPjii1y5coW6ujrc3Nz4/e9/T1BQEH5+fgwcOBBbW1s5C9cn+bt37x7Lli3jySefZMyYMdTX19PU1ERjYyPjxo2jV69eeHl5SWDXo0cPPD090TSNa9eu8X//7//FyMiI+/fvs23bNnr37s3777+Pq6src+fO5a233mLIkCFcvXoVTdMwMzNj2LBhnDlzhqCgIN544w3ef/99KioqSEtL47333uPNN9/k5MmThISE8Oabb/Ltt9/S3NyMtbU1gwcPZsuWLezdu5ePP/6YDz74gCtXruDj48OwYcMIDQ3F0dGRbt26YWNjQ2JiIv/7v/+Lr68vjo6O9O3bF3t7e7Kzs3nrrbfo2bMnb7/9NkZGRrz//vs8++yzWFtbU1tby86dO3nnnXdktuo+ffpgZmZGXV0dly5d4sknn8TT01Nev/DOO+/w29/+locPH5KTk0Pv3r35wx/+IEGOra0tL7/8MjExMTx48ABvb2/+93//lytXrjBlyhTefPNNGej/8ccfY2JiQlpaGnPnzqV///6UlZVx584d5syZw0svvURGRgYnT55k4MCBWFpayjxPTz/9NLNnzwagpKSEkSNH0rNnTy5fvoymaUyePJn33nuP0NBQhg4dyq9+9Svmzp1LeXl5q0tFS0tLGThwIC+//DITJkxg8eLFGBkZ8dvf/pb9+/dTWFjI73//ez744AMiIyP55JNPePfdd8nIyKC2thY3Nzd69eqFjY2NBN41NTW8/vrrPPnkk1RUVHDv3j28vb359a9/TW1tLV999RV/+MMfmDJlilzVffXVV/noo48oKiqirq6OcePG0adPH06fPi19z8OHf7lk82+576Wr/PVjgX7VzRDo2bJli8Ht2p8c6FEZFsFNkZGRjB8/nuvXr7cCPV0I/l+nqH0htjHi4+N57rnneOaZZ3j77bf52c9+RmhoKIA8rt7S0kJQUBCPP/44e/bskUvWv/nNb/jd735Heno633zzDY8//jhTp04lPT2duLg4unfvzvPPPy+X1E1MTPjggw/kSkBkZCQ9e/bk3LlzPHz4EFNTU3r27ImJiQkTJ07kscce49NPP6WyspJ9+/bx+OOPc+bMGRobG8nMzKRHjx6YmJhQU1PDpUuXuHv3Lhs2bKBHjx5cvHiRmpoaoqKiyMvLY/DgwfTr109uQxkbG7Nx40ZaWlrw8vJi/fr1VFVV4e7uTo8ePdi9e7eUW2hoKL6+vjx48IBZs2bxy1/+UgZ979mzh169ehEWFkZ1dbVM36FpGiUlJXTr1o25c+fy4MEDYmJiePfdd3n11VfJzs7m0qVLPP/880yfPp3a2lqqq6txd3enZ8+eBAQEkJqayuHDh4mPj+fUqVMUFBRw//591q5dS/fu3XnllVc4c+YMzc3NHD9+nFdeeYVu3brJlZ2cnBwef/xx1q9fz61bt7C1taVHjx5MnTqVpqYmkpKSePrpp7G2tqa0tJSCggIsLS0leD169CjPPfccQUFBcmVw0qRJ9OrVi127dlFQUCBBz5YtW/Dy8qJ3797s3r2by5cv88ILL2BnZycvwgwPD6dPnz4YGRmxf/9+Ll68SHV1NYGBgTz55JMsW7aM8vJyvv32W6qrq9mxYwfPPPMM06dPp66ujk8//ZRevXrh4eFBcnIyhw4dYsiQIbz00kscP36cUaNG8Ytf/AI7OzscHBz4+c9/ziuvvEJWVhbR0dE8/vjj2Nrakp6eTmRkJG+88Qa/+93v0LTvg/dffvll3nvvPbnKOX36dH7961/LRKS//e1v6devH76+vpiZmfHYY4/h4ODAzp076du3L6dOnULTvp8Arl+/nrKyMlpaWrC3t+e5557jyJEjWFlZ4efnR1FREffu3aO2tpZevXphZWWFpmkcPnyYX/3qV/zyl78kMTGR69ev8/Of/5yXXnqJVatW8ec//5kePXowYMAAcnJyJHgQ210jR47k8ccf5/Tp01RVVREfH0///v0ZO3YsVVVVzJkzB29vbzIyMhg8eDA9evTg9OnTtLS0sG/fPrp168aLL77I0aNH0TSNjRs30rNnT3r37k1JSQmaprFr1y769u3LkSNHmDZtGi4uLnJb7MGDB7z77ru8/fbbpKenc/bsWd55551WeqmCHU3TWp30/Wf7yJ9KEeOAHvSIlTgBetavX29wO9JQXNujlP8I0HPhwgVGjRpFbGysBD2qcLvKP7/oFfzOnTtcvnyZ5557jo8//phNmzbx4osvMmLECIqLi3n48CFNTU00NDQwceJEevToIYOaGxoaMDY2plu3bhw+fJhLly7x1FNP8eabbzJjxgwmTJggB2ZN02hqasLExIQPP/yQqqoqCXp+/vOfk56ezr1793jhhRd488038fHxwdPTE1dXV3bs2CGDq7t16yZn4aWlpfTq1YtJkyYByDq3b99Ojx49uHHjhuQX4MCBA/To0YNVq1axd+9eJk2aRH5+PvD9Cszu3btZtWoVVlZWPPnkk2zfvh34PlFlREQE27dvp6WlhWXLlvHiiy/Kve8TJ07w/PPPM3ToUNzd3fHz8yMyMpJ79+5RUVFBt27d+NOf/sTJkydxcnKiT58+vP/++5SUlBAUFET37t3ZtWuXtJPz58/TrVs3Zs2axdq1axkwYADjx4/n448/ZvPmzTx8+JBNmzYxaNAg+vbti6WlJXl5eUyePJnevXvTrVs3Ll26hKb9BfQ4Ojri6+tL//79eeGFF5g5cyb19fXk5OTw3HPPceDAAdn+iRMneOqppxg6dCijR4+mW7duXLhwAU37frDaunUr3bt3Z/r06TQ2NvK73/2Op59+mv79+/N//s//oXv37sTExLBw4UKefvppTp48KVfMrl27xn/913/x+uuvk5WVBcCJEyf44IMPeOaZZ9i1a5ccEKOiohg0aJCkT4DmPn36kJqaKrddd+zYQffu3VmxYgUffvgh/fv3Z+/evRw+fBh3d3dmzZpFeXk5kZGR9OnTh3feeQdzc3PGjRvHU089xcCBA2lpaaG6uppx48bx2muvYWNjg6enJ6+//jpvvfUW1dXVHDhwgCeeeAJzc3PCw8MJCwvD1dWVkydPYmNjwyuvvCLjf0QMjQD7Dg4OPPPMM3z88cf85je/katomqZRXV3NSy+9hL29PRcuXMDCwoJ+/frx4osvkpOTQ3h4ON27d8fOzo61a9fi4OCAubk5W7Zsoba2Vk5MxFashYUFvXv3prGxUYIKV1dX+vXrR3V1Nenp6YSGhrJ9+3YGDRrEz372M7kCs2PHDt544w369+/P5MmTyczMZOzYsQwYMIBnn31W3tdy+PBhnn32WQYMGMCrr77KqVOnAGTeswEDBjBq1CiuX7/O4sWLGTt2LM8++yyHDx9G07QfpP/piv3854wF4q9+xUeAHhHILECpOobo333U9v/tQI+h7a3ExERGjx7N2bNnJejpWuX51ypqv4mbli9evMizzz5LQEAAzc3NclD39PSUt2/W1tbyySef0K1bN27cuIGmadTV1TFp0iSefPJJjh07xqVLl+jVqxdDhw7Fx8eH1atX89hjj/Hqq6+iaRr19fUYGxszcOBAampq0LTv42F+/vOfc/PmTe7du8cTTzzBRx99JLdr7t69KzP87tq1i5/97Gey/fz8fPr27Yutra2kp6WlBT8/P7p3705SUpI0YE3TyM3N5aOPPuL//b//R//+/eV2VFNTEwEBAZiamrJ+/XqOHj3KL37xC3bv3i1Bz44dOzh9+jQPHjzAzc2Nl19+GU3TJOh56qmnGD16NC4uLvz6179m2LBhNDQ0UFtbS/fu3TE2NubcuXO4u7vTvXt3hg0bRm1tLRs2bKBXr174+fnJ+Ia4uDi6deuGpaUlW7duxczMDBsbGywtLTl+/Dh3795l9+7d7N27F0tLS1555RUsLCyYOnUqH3/8Md26dSMjIwOAvLw8unfvTr9+/Vi8eDFbtmzh7bffxtLSknv37pGdnc3TTz/NuXPn5LHU1NRUnn32WYyNjSWoPXnyJJr2Peg5efIk3bp1Y8aMGTQ0NPDBBx/w1ltv4efnh4eHB88++yyrV69m4sSJ9OzZU97/pGkaycnJvPbaawwYMICKigo0TeO7777Dzs6O3r17y9UOgKioKIyMjOjbty9OTk7cvXtXbpOUl5fLLcRTp07Rt29fIiIi+MMf/sCnn35KVVWV3J4V4OrKlSv84he/wMjICB8fH/z8/HjuuecYPHgwmvZ9bOLp06fx9vZm1apV+Pn58d577/Hb3/6WmpoaCfYCAwOlLIRu2tnZ0atXLxnPWF1dTU1NjZwULliwgGeffZa3336bXr16ERQUJP1iTU0Nr732Gn/6059wcXFhz549zJ8/nyeffJKcnBwOHz5M9+7dOX/+vAy+F8HJYotarLBomoaVlRW9evVq5Zvd3d0ZOHAgt27dYsmSJfLm/LCwMHr27Mm3336LpmlERERgamrKunXrePnll2XMlYODAy+99JKcyJ48eZLHHnuMoUOH8uqrr+Lk5CSTEj948ICPPvqId999F2dnZ/bs2cO+fft44403JHh++PChvN296z63f95YoB8T9KAnNDSUadOmSd8g+kn8/rcA1X9r0COYLisrY/z48ezfv78V6OlC7/86RUXmTU1NaNr3g86TTz7JypUruXPnDqWlpcycOZP//u//JiIigsLCQpqamnBycuKJJ55gzZo1NDU1UVVVxbBhw+jXrx+ZmZkcO3aMHj16YG9vL53jY489xi9/+Uvu3r1LfX0948aNY8CAARQXF6Np3wfJPv3002RkZNDc3MyoUaN48cUXWbNmDbm5uURFRckVm9DQUHr27ElsbCyappGbm0ufPn3kQFlXV8eDBw9YsWIF3bt35/Lly1IPm5ubaWpqYsuWLXTv3p3+/fuTmppKc3MzGRkZvPzyy3KLKTg4mD59+hAQEMDFixdJS0tj/vz5REdH8/DhQ6ZPn85zzz1HbW0tAHv37qVnz57s3buXoqIifvOb3/Czn/2MhoYGCTr8/PzQtO9XcXr37s0nn3xCaWkpqampvPDCC/zP//yPDFret28fTzzxBBEREZSWlpKenk5RURF5eXnybqXQ0FDi4uK4cOECv/jFL3jsscf4/9g777gqj23vb1QsKFETe0mM3WNUjOXYaxJr7HpiJ8GOERuKGg2KFQxWBCuCDbAEldgQFVQE7NgQBEQQ6b3Dfr7vH96ZM3vHU+6973vvfW/OH/sDbPaeZ2bNmrV+67fWzHh5efHTTz+h0+lkivn58+eYmJjQoUMH7t27R0pKCu3bt2fFihXo9Xru3r1L1apVcXR0JCMjQz6/atWquLq6ypqflStXyh1fTk5OVK9eHW9vbxISEvjTn/7EgAEDePv2Lbdv36ZOnTo0atSIjRs3UqVKFcaNG0dSUhJFRUVcuHCBzz//HHt7e1JTU8nIyJC7+sqXL0+vXr0oLCwkJiaG/Px8Hj58SOvWrTE3NycjI4NJkyZhbm7O06dPyc3NJScnBwcHB3r27ElkZCSWlpbUq1ePNWvWcPHiRe7fvy8L4YODg6lUqRI7duyQgKB+/foMHDhQrg2xk0no0qhRo2jYsCHp6emEhIRQvnx5/vznP+Pv78/Nmzd58OAB+fn57Nu3jypVqjBt2jQCAgLYunUrmzZtIicnB71ez+zZs6lbty579uzhyy+/pGPHjpKxTEtLo3Llynz++edcunSJ0tJSVq1aRbly5Xj48CGJiYnUq1ePMWPGcPfuXd6+fcuzZ8+4fPmyrLfT6/USWM6ZM4dKlSqRmJhIbm4u0dHRjBo1Cjs7O+7evUvFihVZvnw5iYmJ2NnZYWpqioeHB0VFRezcuZOJEycSGxtL27ZtMTMz4+7duzg4OFC9enVycnLQNI1Tp05hbm4uman69etz9uxZKb/u3buj0+mwtLQkIyODc+fO0ahRIy5evIimaQY7z9SrDP4Fev57fIHxEQaipsfNzY1Ro0b97viZD12w/O99/v/3oEco+9SpU3FxcfkX6Pkf+lLnTdDhvr6+1K5dmy5duhAZGYmmaTx79oyBAwfSunVr7OzsiImJ4dGjR0ycOJH27duzf/9+Dh8+TP/+/bG3t6esrIx9+/ZRq1YtLC0tSUtLo6SkhFq1alGnTh2eP38uC5kbNGjA5s2buXbtGk5OTlSsWJH169eTlZVFQEAAbdq0oXHjxkyfPp3hw4dz/vx5ALZs2ULdunU5c+aM3BlUvnx5hg0bJpmh0tJSWT9x8OBBNO09lZ6fny+ZjZYtW7Jw4ULy8/PJyckhLi6OJk2aMHjwYNzd3fnmm2+oW7cuI0aMYPLkyUyYMIE2bdrI4uu//OUvNGzYkNDQUEpLSzlw4IAcw+3bt2nWrBlDhgwhNzeXM2fOYG5uLguLr1y5Qp06dWjdujXh4eGUlpYyYsQIatasiY+PD/fu3eOHH35g3LhxvHnzRt5qLAyNXv9++/jMmTNl3cuCBQvo27cvcXFx2NnZodPpZG3J6dOnqV69OkuXLkWv13P//n2aN2/OwoULKS4u5u7du9SsWZNevXoRFhZGaGgolpaWTJo0idevX5OcnIylpSVt2rTh8OHDnD59WjJP6enpRERE0LlzZywsLNiyZQvff/89zZo14+uvv+bVq1eMGjWKZs2asX//fq5du8asWbP47rvvePXqFY8fP+bq1av4+Pjg6OjIp59+yqJFi0hKSmLbtm2cOHGC06dP06VLF9q1a0dmZiZWVlaybszX1xdPT08GDx7Mli1bKC0tJTQ0lC+//JK6devSs2dPxowZg6urK5qm4e/vz0cffYSzszN6/fut5C1btqRTp04GrLXYNZebm8uIESP4/PPPSUxMJD09nUGDBtGwYUP69+/PsGHDcHR0pLCwkFevXjFmzBg+/fRTBg0aRMeOHZkzZw75+fkUFhYyY8YMmjdvTnh4OG5ubjRu3Ji9e/fKbe41atRgzJgx6PXvt/IvWbKERo0ayULmhQsX0qRJE4YPH87s2bNxcnLC09OTwsJCCgsLDe5BsrKyonz58mzcuJHr16+zY8cOpkyZQnh4OC9evKB169ZSZj169KBmzZpMnz6dpKQk7OzsGDt2LJqmYW1tjaWlJYWFhWzYsEHWoWna+xq3Jk2a8O7dOwIDA2nTpg0TJkwgPT2doqIiLCwsDOqCPD09+fzzz2V6S9QJqrvP/uUr/mtfxru31F1ZAvS4uroyfPhw8vPzDQ78NN7i/h+Zt/+vQY/YUaJpGjNnzmTt2rXAX09k/hd6/5/zMqYwNe191LZo0SLmzp3Lq1evKC4upqioCH9/f6ZOncqiRYt4/fo1paWlhIeHY2lpyfz581m2bBnbtm2T5/IEBATw008/4erqSlZWFrm5uSxYsICZM2fy+PFj8vLy2LlzJ4MGDeKHH35g48aN2NjY0LdvX1q3bo27uztZWVl4e3szefJkhg4dyrx583jy5AmapuHl5cXq1avlzqC3b98ycuRIFixYIAt8Re2Pra0tBw8elE5MnDOUkZHB2LFj5RZyEYnv3LmTadOmsWnTJg4cOMD69euxt7fnl19+YeLEiSxfvlymY7y9vdm0aZM8J+f06dMMGjQIGxsbjh49yrx58wgKCqK4uJirV68ye/ZsucPt/v37EjTEx8ejae/ZnyVLlrB06VKcnJxYt24dDx48oLi4mJycHFmoKkBqeno6ixcv5urVq+j1el6+fMn169cpLCxk9+7dDBs2jOvXr6Np7+tzbGxsOH/+vDx3ZsaMGezdu5fi4mKioqKoVasWAwYM4MKFC7i7u7N9+3YeP34sndGzZ8+YPXs2CxYs4Oeff8bd3Z3o6GiKi4uJi4vD3t4eW1tb1q1bx5o1a9i5c6fcjh8QEMCMGTPYunUrR44cYe3atQQGBlJaWkpMTAy+vr6sWLGCZcuW4ebmRnh4OFlZWRw4cABbW1sWLVrEzJkzcXd3p6ioiEmTJlG5cmWGDh2Kg4MDa9euxcXFhbi4ONnfM2fOYGlpyciRI2UaR6/XEx4ejrW1NVeuXKGsrIyEhARsbW1ZsGCBTA+pxrygoAAXFxd+/PFHEhISKC0t5ebNm2zevJkZM2ZgbW2Nr6+vdAKBgYGsXr0aGxsbnJ2dJUguLCzE09OTFStWEBERIUHd/v37KSkpIS4uDhsbGw4cOCBTchcvXmTbtm3ExMRQVlbGy5cv2bZtG/3792fIkCF4e3sTGxsrdwqqDmnWrFlUrFgRe3t7fHx8OH36NIGBgfKz27ZtY+zYsaxfv56DBw+yePFitmzZQmZmJvv27cPFxQW9Xk9YWBjPnj1D096ns5ycnOSZSf7+/tjZ2RERESGPe1i1apVk7+zt7eV4Ne39UQ2bN2/m6dOn0qmq9zb9K0D+r3/9rS3rxumtESNGyDTuh2qw/jCgRx2sOMtF095Tq/b29nKxq4L5757kf71+D3rEVvTo6Ghev34tawRE5Pj8+XMJhASTEhkZye3btwkJCSExMVEa3OzsbN69eycPTysqKiIyMpLIyEhycnIoLi4mJSWFW7duERQURHBwMLdv3yYgIICFCxeyadMmsrOzKSsr4/nz54SFhREfHy8XYkJCAsnJyaSnp1NcXEx+fj737t3j/v378r2ioiJycnJISEggKipK1g4kJCQQHBzMvn37GD16NA8fPpTUellZGTk5Ody7d48XL15QVFREWloaqamp5ObmSkcldsjk5eXJ5wnHf+fOHUJDQ4mKiiIyMlIakpycHCIjI0lJSUGvf39Q36NHj4iOjpYyFo7v5s2bXLt2TQJMUdOkae8jYwHqRDooKSlJ1mUJxxsTE0NYWBjJycny3JbY2FhSUlIoKSkhOzubZ8+eyQMns7OzqV27NsuXLycuLo4nT57I74rxlpSUEBUVxY0bNwgJCZGndovjDF6/fk18fDwxMTFyi7YAm0J+L1++5NWrV7x9+1bqhl7//gwbcTaPAKalpaXyQL/AwEAeP34s0ypTpkyhbt26si+PHz+WW7aFPpeWlvL8+XMePHhAfHy8nKe8vDxevXpFdna23IkWZ3+/4gAAIABJREFUFRUlU6uCDdQ0Ta4BsS1fzEVZWRlpaWnExMSQkJAg5SMYl6SkJN6+fUtOTo7cRl5aWkpaWhqxsbGy7kwcyinAlZBdSUmJPDtLrBkhz8zMTG7cuMGdO3fIz883GLPQfb1ez9ixY6lWrRqxsbHExsbKc7REtJ6YmEhoaChxcXEUFxfz+vVr0tPTKSsrIz4+3mDNqYdeCh0SfYyLi5PjSUlJIS4uTh6KmJiYyJs3b+SdTfn5+aSlpRn4BAF0NE0zOGTxv9tG/lFexr5ZBUAq6BFsn8AZ4jPiO39I0CMWnKa9L6JTQY/62f/uSf7X6/cMnTBCwnkKxyoUX91hkZeXJx2McU5epUhFBGf8POPb28VnS0pKiI+PJyIiQp4SLD5n3Kb4XbQlQIDarnGfSkpKOHbsGN988w3t2rVj/fr1Bn1QKV3hqNXDAEUbQj7qYXDq943/Fm2ofRFpRdFP9fBBIVPhpNXzeYTDVedEOGpRbC4MkOoM1fSzABXi79zcXKKioqhWrRrTp0+XpxeL/ok2xN9qKkI8W50jdZ2L/gu7oAId9WAzdf5UHRHjEHqpae+Bn9gFdPXqVYO0jgBoQgaiHVGoru4kVedEzKnQGVWnjcGEyhp+SI/Vz6vzKD6jnqejvjTtryCrpKTE4JRtdT5UmYgxiu/n5+fLYtMOHTpQsWJFCazV/ghdMWa1hE4YXzMjiqTVtSrmTJWlOm4xVqEnxnoovq8eTPifqQ351+s/7ws0zfAqHgF63NzcWLlypYFNV+3xf4bU+P8O9BgrqiiKnTt3LnZ2dhL0/Ivp+Z/1Mi5cE8orIjThYDRNkykV1WmrzkwYcOEgVGNqbPiEwRQGXETGqnMXOqLe9C7aU52CcYQrdrGoIEb9fFlZGadOnWLgwIHMnz9fUvTGTltlDFSQY2zwVeenvq+2o8rLGDQIOavgUchBPFcFisaOSvxfZXnE38LJqn1V5a9+pqCggAcPHvD1119jY2NDdHT07xya6tBVZkp9T3Vmql6pfVf7qgI31RGrYxD9yM/PlwxMcnIy8+bNo2PHjuzZs0cCPvVqA7Ud0T9RhKnqq/gp2BTj74q1Yty+kJs6Z2oAKArNjVMHAiSqoEL0R69/f5WJaEusSRUIq/NoPM+inwJgTps2je7du3Pz5k0DYKSCTDE36nwI3VNthGB+VcbHWAeN2TGx/lTdFn1Q1406Z/9iev7rX6qOqsBXzAmAi4sLO3bsMADbxrr7hwQ9IprS6/XyLAnAYGeBsWCEgquKbvze3/qf2ob607jtf+ZZH2rr7z3zQ581/s7fa+dv/f9D8v1nvvf3ZPf3ZCoUWzhW1XGL7wnFFgBFdQxq28asificmnYR7QvDL17i++LzKsgwdugfSmMIo65GpCozIj6TmppKUFAQsbGx0qmrUT5g4LxVp6OCe5WlUJ2BseEwNhLqOI1lojoAYzAh+qhpmoHM9Hq9gfyEM1GdpMomqEyByjzk5OQQEBDAs2fPJAhU2SC1HQEexHyoOqLKRbwvHKlIq6gOTmWn1GcYF+aKnwKUh4SEcOrUKR49eiQ/r7JJJSV/PU/E+NRfY6CgAiBjkKi29yGWRnXcH5K3MeBR31f/pz5brEUxng8FDirgVtsWY9M0jbCwMPz8/OSdYqq+qA5LHY8KRoSuGY9PyESde3XNqevlQ3JQ9V7YD1Vv1L7+LRv8j2zov9fufsi+/z1b/M/8/fd8xN/r8z9q75/53t/ygR/yX8agR/wu5hnAycmJEydOGNgQ1U79o2f9rwU9qiFbsWIFvr6+wO8vHP17Dvg/+vpnnP9/tt3/itffAzv/L17CyGmaJiNT48heOCsBQIzTEqrSGzMNarpBjehVlsiYAhff+ZBT+VDBpmhDr/9rOkK0Kd4XYEj0U3WqKs1uDERUtkB1DGodgnHEqvZHBTNqOkp1DkJ+KlsgvmP8nsr2CKdk7OyFrI3ZNvX/xukXTdMM1qnquFTDJoCl+Izx3KkvY4engkMVoBnPpwp8VRbM2NGqDJ0acapAQMy1sfxV3VHnXdURMb/G4FMFxCprY8z0GQM89SXaNx63CmbEHBvPyd9i8T4Eyo37JuSjpvKEg1PXsGhTPE/8X10LKggX/RE2RA1ujXVR6JIaVKnr5x+Bnv/b9va/0r7/d/fjHz1HDWSFTQLYuHEjv/322+/8k9BXESyK7/1hQI9Q9oKCApYsWcLJkycBDAzx/1Ql+c+29+/9/v+N/v8joPfPAEHjFIVQZDVqNI5uVQejOm1jR646RePUiPqeMKzGTIEaVajfNU4lqI5ddXQqGFNTDapDFw5AgDCV0VH79yH2QgU8xikT44hfPEt1KKWlf02/GYMnFTSp9VMCIIh2VOCipkWMHaCaWlOBojEIUOdPrW1RI3z1c2q7ahuqkzWOIFVZibSRkOHf0gljtkHISLSnOl8xR8b1JsbMoJDphwCAsS6q8hDgRwXEKiBT+/m3dFp8RwVtqm6pMlXHa5x6VXVOBRvG61odqwqwVRkLO2G8ztU+qABQDViE/D5UiyX6bsywAQbrTLT/92zd/xSQ8v/y9V/tS4z9t/qe0BdnZ2cuXLhgoCPqmlTB+R8C9Bgv9NzcXKysrDh06BDw12soRIQojJEaEQnDoGmazJ0bLzwRdakGvaysTH5ejRY+ZGyN/xaGUq05Uts2Li5VjZq6QFWDYxzNCCclnqUaUWND/SFQaByhCQNvHC0aG2fjdoyBgSorNbpUx2L8GWMnbhzNfyjSFeP8UMGimFuxYIRefMgZqw5JjdLVeVZlLUCPAN3q3KvfU52rMYBT5WjM/AjdN2Yx1doJ1fkbj1N1cqpMRXpYTW2oOqIaHdXIqA5GBXzq51THZjwu0b7ot7EjV8ek6oMqS7U/qj6rOqwCKWPDLXRXNaof0hOVrVINrwBg6hiMvyP6peqKKkO1/yoLqOq1+ll17tWxGQMntZ9qKtZYrupcqXNgDEyMgbvQGVXH1d/Fd1QGVB2PCoiMbayx7qh9VFOd6nwL22cMrlTgqY5XtcGqjok+qetEfF71Ix+y6ypT9iH7b+xTRB3j3wITxnbEWE4f0m1VB9X5UdsxZsKNgYUYk6rXxm0b2+oP+SjjcYn3jGv3RN/U4O7cuXN4enoazIexfNX2/xCgR13gBQUFWFpaypoeofDCGAvUr4IVVYHUNIsa2ai0rPosUTwtImHVABg7RFVhjPsiHI4KesT3RdsfitJU5RQLXTxHrWdSIyGVclfHphoO9VmiD+rOKjUqVPtkHC2WlJTI7apiG6zxThDVMIlnqItRNe7G76mUvzHgUY2Z8diNZaf2w7i+SAV8JSUlBgZV1S1V1qpDUWs+1M8ZAxAhxw/VIZWWlsqda6q8jMeq1pCozxLtqrquzrOmvb+iQ7SRnZ0tt/jGxcWRlJRESkoK6enpZGVlUVhYSGZmJhkZGaSmpvLu3Ttyc3N/B6xUQ5WTk0NWVhbZ2dkGKT6x/T4jI4PMzEzy8/MlYBRrJycnh7dv35KamirbyczMpKCggOzsbLKyskhISODt27ckJCSQnp5uIBO9/v2Be4mJiaSmppKYmEhaWhrp6ekkJyeTkpIizwERa0LIS7UJok0xR2JsYq5E+ykpKSQkJMgbvsVYRbui38KGpKenk5aWRnZ2NpmZmXLtinWfm5tLXl4e+fn5Ut6i36qdUgGP0GUVWBcUFEh7k5WVRUpKinxlZWXJO+6MmZSUlBSSkpKIiYkxsCvC5uXl5ZGdnU1OTo48JyctLY13794RExPzu3Sy6miNgZmxIzMG3CoQUB2fCjZVG5eXl0dqaiqvX7+WB5YWFxdLfTVOrarrWoxNZYqELVR9ihiDCnqM/yd+qqydmKcPMdtCRqoNUD+vrmOVgVaDSzEWlZErLCyUtlgN8tX0tbFN/JA9UvsjbJwqI/E8kd5XxyPGK8oX1L6J8YmdgMHBwbi5uf0OhBpjgD8E6FEVVS2+mzVrFqtXrwYwACCqQMVkqxF2SUmJ/I4wGMJYiQUijLr4qe7KEMZRNTQquDFWUmHQxe4QdbGroEsoljpOoYyq8uXm5sr3xKJUF68Yt7og1TSBMX0tvqPusBAH1YnnqyBI9F3UGghHKwyjkKlYcOpCUses/vwQ8DFmO9QFpYIONRoXzsM4claLj1W5qqyJ+rf4nNjpIubG2KCr0ZCaFhJ6YjzHah+FTNU6FGF8xeeEkVH7AxjcgSTkEx4eTkREhBxnVFSU1Lnc3FyDOdc0jczMTM6cOYOnpyfu7u788ssvrF69mtWrV7N27Vr8/f158OABW7ZswdHRkSNHjnDixAlOnDjBvXv3DGpNhCEtLCzk7Nmz7Nq1i4MHDxITEyPBzOvXr9m3bx+Ojo7s27dPnruk1+uJiIjAz88PHx8ftm/fLg+uc3JywsvLi1evXrFnzx4cHR1Zt24dzs7OODk5sW/fPo4dO0ZKSgrFxe9Pdk1ISMDV1ZXFixezdOlSnJ2dWbVqFba2ttjZ2ckDA4X8hMM8c+YMERERBg5F1SGhy6mpqTg5ObF27VqcnJzYuHEjmzdv5uDBg/j7+xMUFIS3tzf3798nJiaGAwcOcPDgQTw9PfH29ubo0aN4eXlhb2/PqVOnDHTx2rVr8gRyFxcXXFxcsLW1ZePGjYSHh/8OOOv1eoKCgrhz587vHFZOTg6PHj1i48aNODo64ubmJk+e9vb2xtXVlVevXlFSUkJ6ejqXL1/GyckJHx8fecBjWFgYmZmZcuziUlJnZ2dOnTrFyZMn8fX1xcPDgxUrVnDs2DEJ3FUm5dq1a2RmZkp7rjphY9BjHPiowF0FB2K8T5484fz58+zbt4/58+fz/fffc//+fbnuxM471W6Idadpmvy/AEgquBDfF20JXVeZLeO0phoQCNuj2nFjIKXa4A8Fo+I5qu1VnyuAgypLkdJV07rGgZRqr1QbKdpWfZ4KIFX7pc6JevyEWD8igFP9i+qT1ODP19eXQ4cOGczt39KHPxToEQqjaRqzZ882OKdHBTpiwoRyq7SgMDCqU1EdtQAowmkLByZAkZh8tQ012lJBggAvubm58ruiXRU9C1SuKqYagYr/CRkIpVOVRyxOtX+qXMR74pwNVVHVttTIUwUWYjuvykqJfubk5EjjoYI9sYhF5Gkcjaq7qMRCVaMENRoQZ9qoEY7KEIi21PSNahRE+2rBcX5+vgEzU1hYKOdJZUIE0Bbvi5caGYo2RPuqMRX9UufcmHVSd5AJHVQZA2P9MK7VWbhwIfPmzSMyMpJTp07J6wCE7MQ8qY7nl19+oW3btmzZsgUfHx+GDx/OJ598QoMGDQgMDCQoKIhmzZrRpk0bTp8+jb+/PxMnTmT48OGcOXPGYMxCv3bt2kXTpk2ZMmUKUVFRUjeTkpIYOXIkjRo1wsbGRjIOmqbx+PFjBg4cyLx583BxccHNzY3WrVvToEED1qxZQ1xcHAMGDKBRo0YsXbqUw4cP4+rqipOTE19//TVHjx4F3tdvZGRksHHjRqpXr87AgQNZuXIlAwcOpEaNGlSvXp0jR44Y6KWmaTx//pyePXuyefNm6XxUAKwyQRkZGQwbNkzeOr99+3a2bdvGhg0b2Lx5M5MnT6ZDhw4cPnyYd+/eMWPGDFq2bMngwYM5fvw4R48eZceOHYwbN461a9dKxqKoqIjLly/TtWtXBg4cyOrVq/H09KRr1660adOGc+fOSV3NycmROjlhwgTmz59vsBlA6Jmfnx+NGjWiW7du7N69m4sXL+Lh4cGGDRvktSuaprF//3569uyJnZ0dgYGBnDp1iqVLlzJ16lQJjvT69/en9e/fn4YNG+Li4oKXlxd+fn789ttv2NnZYWNjA0BycrJcH+Hh4QwZMkReAPohmywCD2N7L+yBAO7GwVJkZCRjx45l8ODBdOjQgZYtWzJ58mRiY2OlzVFZaJWtUANdITsROIr3VZujslXGRfAq6ypsiPoc1QaooEgwbur3xdwC8lmqLTO2s8I+iPGJy1jF+yrIEbqhZgBUWyt8keqnRAAmDtpU9cs4qFXtgfDD6viFLRD2U4xXr9ezf/9+9u/fbwD2VMBnzAb+rwY9xkivoKAAgDlz5shrKIRDEwISi0WkKFQUrSqYmDyxyIzZEaHEYrLFIsrPz5cRkIpuVXCmAheValQLK0UfVGClRp8fQtFCyVTUrEYZan9URVPZAfFsdVGobIswxMZ9UJktVV5ikakpLRX8qYvK2ImoRkP9vxr1qLIUbQkQIoyjmEdhqISshFFTIxAVtKjRnzoPH2LEhCNUxy4iK7FAVWdpfEmjkK3oh1hPxqyhKl+VVVTHrM6jXq9n9+7d9OnTh82bNzNu3DiGDx8unZWg7oUMc3Nz0TSN3377jXr16sn7s7y9vWncuDENGzYkOzublJQUvv32Wxo3bkxqairFxcXs3r2bzz//nM6dO/Po0SMJ6gXIvXHjBlWqVOGHH34gKytLGj6Ajh07YmJiws6dO+W6KC0tJSsrCwsLC+zt7UlJSSE5OZmWLVtSpUoVjh8/TmlpKYsWLaJcuXIcP35cXlYbGxvLzz//zMGDB6XsNE3j7t279OjRg61btxIREcGvv/5K7dq1qVChAhEREbKvQg5nzpyhYsWK9OjRQ15Qq0b3aiCg1+uZOHEiJiYm7N27l4yMDJKTk4mIiCA4OJhx48ZhamqKt7c3mqZx6NAhzM3NmTx5MsnJyaSlpREZGcnNmzflhbbCqWdkZNCvXz+mTZvG06dPyc/PZ/ny5dSqVYtr167Jfglgnp6eTu3atWncuDGXLl2SYxL6EhMTwxdffEGXLl3k9SmJiYk8evSIAwcOEBISwuvXr+nWrRudOnXi8ePHcty3b99m5cqVDB48mLlz55KQkMC7d+8YOnQo5cuX5/r166SmppKVlUVpaSnR0dEEBQVRWloqU3qlpaW4uLhQsWJF5s6dK+dc6LHQaWPQI36qjIgaoImfVlZWDB8+HGdnZ+zt7Tl27Jg8pVyscRWYqIeBfihgUVOawqapLJ8aoKm2QKx18bwP2UIxb+oaF8Gh+gzhu1S2SbXtxiUQIqAVfVAPXFVZaWMmSmVRVCCjylp9hsrOqYGimDfRfzVINgZXQnbFxX+99iY7OxtN09i5cycHDhwwYM9VfyawwB8C9BgvhJycHAl6VqxYASCNenZ2NjExMZSUlHDlyhUOHz7M06dPpfKKXPnDhw8JDg7m8ePHlJWVkZmZSWhoKEFBQbx79468vDzCw8Pl7cJC0W7dusX58+cJCQmRk5WQkMD9+/d5+PAhQUFBPH782IAmLS19f4+Ut7c3J0+elFcwiEUQEhLC5cuXuXz5sjQkwpFnZGTg6+vL6dOn5VHuqlwEaElOTubu3buEhoZy69YtwsLCuHv3LpGRkXLxRkREcPnyZU6dOoWvry/x8fEyck1MTCQmJobQ0FBCQkJ49eqVASjIy8sjICCAK1euEBAQIO+Gevv2LefPn+f8+fMcP36cW7du4evry61bt+SCSU5O5vz581y/fp20tDT5zEuXLnHz5k3y8/N59+4dd+/exd/fn+joaJKSkqQ8U1JSyMvL48mTJ/j7+xMXF0dpaSlJSUmEhobi7++Pr68vZ8+eleeFqGBBRDyPHj0iICBAUt+CERLALj09ndu3b3P27Fl8fHw4fvw4J0+e5OzZs9y8eVMu3pSUFC5dusSpU6e4evUqaWlplJaWkpCQQGhoKAcPHuTEiRPyDqW0tDQeP37M06dP5bUK4lJVMTfPnz/Hz8+PmJgY9Ho9kZGRXL9+Xbbx5MkTgoKCeP78OaWlpcTHxxMWFsb9+/fJzs4mMTGRkydP8sMPP+Du7s7u3bs5ePAg58+f5+XLlwY59ZKSEqm7d+/eZeDAgdy6dUsyW3379qVNmzaSFXJwcKBu3bryCoWMjAzmz59PuXLlcHR0lMZeGNKIiAgaNmzIiBEjZO1OUVERUVFRVK9eHRMTE9atW2fAHmqaxrfffsuePXsk2LWysqJmzZoSkF24cAGdTsfevXul7uv1enkNgTE1v2zZMo4fPy4dWbNmzShfvjxxcXFyzsW6Xrx4MZUqVaJmzZqcPn3agKVUgbFghpYuXYqJiYm8YFSNRrdu3YqpqSleXl5omsaLFy9o0qQJdnZ2MoIXQYaQmQCOZWVl/PTTT+zcuVM+193dnWrVqnHlyhUAg230Fy9exMLCQl4iKhhXcSilXq9n6NCh9O7dWwJw4ZRE/dC+ffuoWrUqO3bsMDiEUdiVtWvXUq1aNfbs2QPAlClTKF++PE+ePDFIRauOVgUIlpaWmJubU79+fV6+fGkgW+P0lurYxCs3N5fnz58TEBBAcHAwGRkZaJpGXFwcvXv35uTJk9y4cYPAwECCg4Plad8xMTGcO3eOgIAACcyys7O5dOkSycnJlJaW8u7dO86cOSPvF9M0TR4i+fDhQ3x8fNi/fz9eXl54eXkh7icrKCggKSmJixcvcurUKclsFRW9v1bG39+fkydPcvz4cS5fvkx6eroBeBPr9/r16wQGBhIdHS11JTg4mPDwcHJzc0lMTOTcuXPcuHFDXm3i5+fHqVOnCAwM5NatW7x9+1aCw7y8PG7cuMHx48d5+fKlBAspKSkEBwcTHx9vwBCFhIRw8uRJ7t+/L8GXOPQyOjqaV69eUVBQQGRkJKdPnyYqKkqug0ePHhEeHk5xcTFJSUncuHFD3kuXkZHBixcv5J2Bot2rV69y7NgxLly4YAAuNU1j+/bt7N+/38DnqwGnMTj+Xw16VKZHTCyAjY0N69atA5AR2/bt25k/fz4eHh706dNH0p0iHx4UFMSePXtYunQpU6ZMYdKkSTx8+JDXr18zbtw4xowZw927d8nIyGDOnDn069dPRqteXl4sX76cBQsWMGTIEC5fvoxe//4267/85S9Mnz6d5cuXM23aNHbu3CkdcGBgIFOnTuWHH35g4MCBWFtb8/z5c/R6PSEhIQwdOpSvvvoKOzs7Jk6ciKurK+np6fj6+rJjxw5GjhzJiBEjsLGxITw8XBpZVWEOHDjA8OHDsbW1ZcOGDTg4ODBixAh27dolneSMGTOYO3cuVlZWWFhYYGtrS3x8PImJiXh4eDB//nyWLFnCypUrmT17NteuXaO0tJT09HQ8PDxYtGgRkydPpk+fPnh5eaHX63n16hXTp0+nU6dOTJs2jfHjx9OxY0fWr1+PpmmEhoaye/duLC0tGTRoEA4ODmRmZpKQkED37t2xsrIiNzeXZ8+esWDBAnr27MmlS5eIioqS8nry5AmpqamsWLGCXr16ceHCBYqLi9mxYwfDhg1j4cKFdO7cmS+//JL79+/LxSFSeQkJCRw9epSVK1eybNkyRo0ahY+PjwG9KkDU3Llz+fLLLxk/fjxLly6Vt1ivW7eOoqL3N6dv3bqV0aNHM3ToUPr06cOOHTsoKCjg0KFDfP/998yePZtRo0ZhZ2fHmzdvSEhIYOHChUyaNInYf7u40dXVlalTp5KUlERGRgYODg507tyZX3/9FU3TOHbsGP369cPFxYXi4mLc3d0ZMGAAe/bsoaysjICAAEaPHo2dnR3Z2dlcvnyZLl26YG1tTXZ2NvHx8djZ2dG5c2dOnz5tUAsiojkxP+PHj+fJkycSBPbp04f27dvLv+3t7alRowaPHj2SAGL16tWUK1eODRs2SOcmUoUvXrygcePGkjUpKSnh0aNH/PLLL3Tv3p0KFSowc+ZMGeWJtTtq1Ch5AWVJSQnLli3DzMyMS5cuoWkagYGB6HQ6lixZwosXLwgLC5NOQmV2hTFds2YNnp6e0n60atUKnU5HcHCwgRzi4+Pp168fU6dOxcLCgiFDhpCYmGgQtYroXLAUO3bsQKfTsXXrVtlf4exPnjyJTqdj8+bN0om2adOGAQMGEPtvd2IlJCRw7tw5QkNDf1dD5OTkJG9U1+v1XLhwAVNTUw4fPixBj5i/1atX4+LigrW1NTVq1MDDw0OCPjF/EydOpE+fPmRlZRkwIHq9XtpRnU6Hv7+/QapDyPTZs2e0atWKXr16kZyczIoVK9DpdNy8edMgPaumMMRYYmJimDZtGjY2NjRv3pxly5YZMMcqAPwQ6CkoKODo0aOsX7+eTZs2MXnyZA4ePEhhYSFXr15l0qRJLF68mEOHDuHu7s6ECRPYsGEDWVlZMhU3fvx43r59i16v5+3bt3zzzTdER0eTkJCAk5MTCxcuZM6cOfz444/cu3dPMqK7du2iV69eLFq0iGHDhtGmTRsJwENCQti3bx+//PILEyZMwNbWlrCwMGnTe/XqxZAhQ1i0aBHjx49n8+bNUubv3r1j06ZNeHh4YG9vz4ABA+Qlwdu3b2fIkCHs3LmTkpISQkND6dSpEzNnzpQBcJcuXRg4cCAbN25k/fr1rFixgtDQUAoLCzl69ChWVlb8+OOPzJ07lzt37qBpGg8ePJCXxxYXF5OVlYWvry9r167F2tqaRYsWsWvXLpKTkyksLCQlJYW5c+fi7OxMaWkpv/32G+3bt2f9+vXk5uaSnZ3N4sWLWbx4MQUFBQQFBdG/f3/27duHXq8nNTWVtWvXMmPGDNLS0tDr318c6+DgwPLly5kxYwbu7u4kJydLH+bu7o6Tk5NBYKCyR+L1h2B6jAvciovfFyza29vL6EMYo+HDh2Nubs6f//xnrK2tGT16NJUqVcLe3p7w8HBGjx4tb1JesmQJlStXZubMmURGRvLZZ59hYWHBy5cvKSoqon379tSvX5+8vDwuXbqEhYUF+/fv5+jRozRq1IgBAwbw5s0bLl68SLVq1WjXrp28dbtt27acOHGC1NRUBgwYwMiRI7l06RLbtm2jSZMmWFtbo2kaZ8+excTEhAkTJhAQEMCGDRvYvXs3vr6+9OrVi9WrV+Pq6sqePXtkPYOmaQbpM03TWLFiBZ988gn79+8nICAANzc3ypUrx+Z11UzcAAAgAElEQVTNmwFwcHCgW7dunDx5kgsXLjB58mQ+/vhj9u7dS35+PjY2Npibm/Pzzz/j7e1N27ZtGTFiBDk5Oezbt48JEyZw/vx5bGxsMDU1ZcKECaSnp5OXl8fWrVv59NNP8fPzY8yYMVSrVg0fHx8SExOxtLRk3rx5HDt2jM6dO1OrVi28vb3JycmhXr16TJo0iZKSElJTUxk2bBh16tQhNDSUnJwcmjRpQoMGDUhMTCQvL49evXpRo0YNwsLCeP78OW3atKFp06acPXuWzp07U758ed6+fSujAWG0PT096dy5M05OTly4cIEvvviCjh07GqQ8hSxHjRpF1apVOXToEPfv32f69OlUqFABT09P0tPTmTVrFiNGjOCXX37B1dWVgQMH0qJFC548ecLhw4elAdq1axeNGzeWEU23bt1o1KiRjBRnzZpFnTp1ZCRlaWlJpUqVJOjx9PTE1NSUNWvWoNfr8fX1pXz58hIUnDp1iooVK2JtbU1paSnXr1+nQoUKbNy4EU3TiI6OpmPHjtSrV4/AwEA07a9bQIVT0rT3OybGjBkjI0C9Xk/Xrl2xsLCQuuXo6EiVKlXYunUrZ8+eZcOGDXTr1o3u3btz584dg9Swpr2vj/n444/p1q0bGRkZ3Lt3j6VLl+Lu7o6bmxsVK1bEysoKTdMMnGv//v0lcwIwYcIEKlasyG+//QbA5cuX0el0jBs3jqNHj+Lk5MScOXOYNm2adOiCzSgpKWHBggV4enpKO9KyZUt0Oh1hYWFSHmVlZRw5coRRo0bx/PlzNm3ahJmZGRcuXJCfESyPoOYBDh48iE6nY+fOnQbj0DQNPz8/dDodu3btks+2sLCgWrVqHD58mPPnz+Pg4EDXrl2lsxORuqZpLFmyBGdnZ6nHwcHB6HQ69u/fDyBT9snJycydO5fU1FR5g/2f//xnqWOZmZkALF68mC+//FIyJGo9WWFhIfPmzUOn08maIbUGRADT6dOnY2ZmRlhYGCdOnECn08mD5MTnVSclHJmDgwPbt28nPj6eZcuW0bhxY0JCQgxKDz5UxCxkERoaSvfu3XFxcSE0NJSlS5fSs2dP9uzZw/79+2nZsiW9e/cmKiqKhw8f8sMPP9C4cWN8fX1JS0tj3rx5tGjRgqioKADevHlD3759yc3N5cCBA3z11VcEBgYSEBBA7969cXR0lGPx9vbmiy++4MmTJ6xdu5YaNWrI9Tlz5kxmzZrF06dPOXbsGJMnT+bbb78lPj6ep0+f0qhRI0aPHk1YWBi7d++mUaNGMvCOjY1l3Lhx+Pn5ce3aNWrVqiUZjm3btlGxYkXc3d0BuHDhAuXKleO7774jPz+fBw8e0LhxYwYOHEhQUBDXrl3jk08+Yfbs2SQkJNC6dWuWLVvG7du36d27N1OnTpUsedWqVdm0aZMMxEeNGsWZM2e4fv0627dvp3Xr1mzcuJHMzEyio6OpVq0aP/74I5qmce3aNczMzLC2tpb6M3LkSEaNGkVZWRn+/v7odDppf16+fEmnTp1o0qQJqamppKenM3jwYA4dOkRgYCDz5s3js88+k4X8JSUlBAYGsnDhQrmWVSCsph//I2zP/xrQs3XrVg4ePAggIx9ra2vMzMxwdnYmKSmJR48e0bNnT3r06IGtrS1mZmZ89dVXODk5sWjRInQ6Hd26dSMmJoa2bdvKaAaga9eutG3blqKiIpYsWYKpqSkODg44ODjw2WefYWZmxu3btwkKCqJq1aoMHz6cjIwMjhw5Qr169di1axd+fn7Url0bf39/GSWPGzeO2rVrk5mZSXBwMGZmZpw5cwZ4XwCYnJzM999/T4sWLYiMjJSMxdixY2nXrh1paWmSYhR5U0dHRzp06EBKSgplZWXSUHp6epKTk0O7du2wt7eXOeHIyEhq167NwIEDyczMZMmSJZiYmODr60tCQgIdOnSgQ4cO5OXl0aVLF7788ktcXFxYs2YNTZs2ZezYscTFxaFpGrdu3WL+/PkUFBSwc+dOatWqRUxMDEFBQdSrV4/hw4ezfv16unbtik6nw9HRkZKSEiwsLJg8eTKaphETE0O/fv348ssviYiIQNM0vvjiCwYMGEBZWRm//vordevWpXXr1iQmJhIcHMwnn3xCy5Ytyc3NZcKECVSqVMkgfy1SnpMmTaJTp07ExsZSUlLCkSNHsLW1NSgGFno1atQoGjRowOvXryXLYWZmxr179zh16hRmZmasW7dOtu3h4UGlSpVYu3YtiYmJctv3hg0bqF27NufOnaOsrIx27drx9ddfk5OTw82bN+nQoQMNGzbk3bt3FBcXM3HiRNq2bUtkZCSapnH+/HmqVKnCkSNHpPGvUKECfn5+pKWlYW1tjU6n46effkKv1/P06VMqV67M7t27ycnJYcuWLZiZmdGlSxeioqKkA1d3o2ja+2sEJkyYQFRUlGQyLCws6Natm1xTAvSsWrUKT09PLC0tGTp0KGfOnDFgDcrKygB48uQJlSpVYtCgQcTFxWFlZcXPP/9MWloaV69epUKFChK8i/nKzc1lwIABnDhxQq55KysratSowdOnTwE4f/48Op0OGxsbQkNDuXz5MosWLWLZsmW/22GTlZXFokWLOHXqlLQjzZs3R6fTkZycLMFMYmIivXv3xtramqSkJDnHkyZNMmDHhBEW9YR79+5Fp9Ph4eFhkKrWNI1ff/1VgghhtDt16kTDhg3x8fHh4sWLrF+/nqFDh8pIXDAkAGPGjJGy1bT3rIJOp8PV1RVAbrn39PTk66+/5ubNm8TFxdGhQweqVq3KsWPHAMjKygJgyZIl9OjRg+TkZDTtr+dZiRT67Nmz0el0UlbiSAMBZvLy8iQwunXrFufOnUOn03HhwgWA39XfCT2KiYmhadOmeHt7k5qayoEDBzA1NWXmzJkGxbbCJqkyFsBjzZo1tGrVinfv3lFUVERMTAy9evXis88+k/Z85cqVkrUKDg6mUaNG/PDDD+Tn50vWcf369ej1eh48eMDKlSvRNI3vvvuOMWPGoGnvmWEfHx8uXLgg18ajR49o3bo1er2eixcv0qhRI86ePUtpaSktWrRg4cKF0tYEBwdjbm6Os7MzRUVFDB8+nC5duhAUFMTBgwcxNTUlICAAvV5Peno6c+fOxcPDA71eT4cOHXBzc0PTNC5evIiZmRmXL18mNTUVS0tLypUrx/jx48nKyqKkpIQ+ffrQo0cPCgoKuH79Ojqdjv79+5OcnIylpSV+fn5ERUUxduxYatSowatXr0hLS6N58+aMHTuW3377jenTp9OlSxcyMzNln/r06UPDhg3x9PQkJSWFWrVqMXXqVGmf27Rpw+LFi2UwtHbtWgl6Hj16RMWKFdm6dSuaprFu3TrMzMxo0qQJSUlJ3Lx5k2rVqrFmzRpcXV2ZMmUKjRo1YteuXVJ3IiIiGDlyJNnZ2QaFzGJ+/lCgRywGlW4G2Lx5M25ubgAysti4cSN169aVOUtN09i3bx9NmzbFwsKCKlWqMH36dBwcHGS6Y+/evWRmZjJmzBiaNm2Km5sbrq6uNGnShH79+pGXl8fUqVNp06YNO3fuZPv27SxevJgff/yRiIgIHjx4QN26dbGwsGDfvn306tWLqlWrcvDgQdasWUObNm1ISEiQk3v48GFMTU25evUqISEhVK9enZCQEGn8hOOZOnWqQZGsu7s7tWrV4sWLF2iaZnB+kJ2dHV27dpV/C9Bz5swZHj58SI0aNTh79iyapsliPisrKz7++GOePn3K+vXrMTExYfny5Tg4OPDRRx/Rs2dP7t69S7Vq1Rg9ejROTk4cPnyYPXv2cOnSJblgTp48ydGjRyksLGTv3r2Ym5uTlJSEj48PNWrUwNbWFnt7e1atWsWiRYu4f/8+RUVFdOjQgbZt2xIYGIiLiwt169alR48ePHv2DE17Hx23adOGixcvMnz4cBo3bkzr1q159eoVycnJrFu3jqZNm7JixQpatWpFpUqVpK6ImoS0tDS6dOnCuHHjDKj4zMxMmZJR65b69etHu3btiI+PR6/XY2dnR/Xq1Xn79i0LFizAxMQEHx8fOS/R0dE0atSI/v37y3k6d+4cDRs2pG3btpIub9euHcOHD+fKlSssX76cVq1a0bRpU1mj9s033zBy5EjJ4AUFBWFmZiaZgODgYCpWrIibmxsXLlxg2LBh6HQ6SSdHR0djZmbGpk2bOHHiBNOnT6dJkyaSuRSgRzxPGJCAgADGjRsnaeaCggLatm3L9OnTpfFft24dNWrUIDAwkMzMTFlfpNbFCAAD8OjRI6pVq8bXX3/N8uXL5Y6ysrIyLl26hKmpKS4uLmiaJlPVjx8/xtraWqbQysrKsLOzo06dOtL5nz17VqaURH1GfHy8rF0QDlPTNOLj41m+fDnXr1//HegRqa3s7GxcXFwwMzNj5MiReHh44OvrS5MmTahVqxZJSUlyntV6IU3TcHFxoXz58hw5csTgCAtN0zh9+jQmJiZcvnxZMi6tW7emR48epKenk5ubS1JSEsHBwQZARADw7t27c/fuXdnetWvXMDEx4dixY3Ld5+bmMmjQIIYMGcKVK1eIiYlh+fLllCtXTgJKAcLmzZvHV199JZ+lpsb1ej22trbodDpZgyQKTIWe5OTkMH78eOrUqUNcXBxubm7odDp+/fVXA0ck0mliPTk7O1OuXDlWrlzJpUuX8PPzo3nz5nz22WfcunVLpsPUolfxfE3TJPPas2dPAxA3fvx4dDodX331FVWrVsXLy0v2Izs7m2+++Ya+ffuSmppKSUkJM2bM4NNPPyUtLQ17e3suXrxIUlISLVq0kEyGypwLpxoeHs5nn32GXq/Hx8dH1lXduXOHjz76iK1bt8rPpqSk8PHHHzNy5Eg0TWPs2LGUK1eOBQsW0LVrV8qVK4efn58EhMuWLZPpTwsLC/bs2YOmady5c4fq1avj6uqKu7s7s2bN4pNPPuHbb7+Vtn3QoEGYm5vj6enJ5MmT0el0DB06lJKSEm7evMmWLVs4cOAAEyZMQKfT8fDhQ/R6PX/6059o2LAhtra21KhRg969e5ORkSH1wNHREVNTU8aOHUthYSEdOnSgV69eaJpGRkYG/fv3Z9KkSZLRPHPmDP369aOsrIzY2FiqV6/O7NmzuXjxIpaWlvTt2xdzc3NiY2Px8vKiSpUqbNmyBQ8PD3bu3Imbmxv37t2TQDktLY2OHTvKdJjw/ULGxrVf/6tBjzH9KXJ+P/30E05OThL0FBYWcuLECWrVqkVOTo5Ukps3b9K2bVu++eYbatasiaOjozzATLAlRUVF+Pv7M3v2bGbNmsXu3bvp3bs3Xbt2JSMjg7lz59K2bVu5BTgzM1N+/+XLl7Rq1Yry5cuze/duFi5cyEcffYSVlRXz58+ndu3aMhecm5vLmzdvqFq1Kvv27ePWrVtUrFhRGmdR9d+hQwe+/vprXr58KY3XtWvXqFatmqzrEZG7pmnY29vTsWNHOebQ0FBMTEzw8vIiLCwMc3Nztm7darA7avfu3VSvXp179+7h5OSETqdj5cqV7Nmzh2bNmknUX7VqVfbs2UNeXh6ZmZkGVL+mvS/qFFS3q6sr1apVIyMjAw8PD2rVqsWzZ8/Izc0lKytLUpcFBQV07tyZPn36EBgYyOnTp2nRogWdO3fm2bNnALRs2RITExOGDx/Ovn37mD59Ok2bNpVOPD4+HgsLC+rVq4eZmRnVqlUz2EkmFlK3bt3o16+fLBAXeiV2tYkou6CggF69ejFu3DiysrLQ6/WsW7eOOnXqSOdgYmIidxiIVEqTJk2YMmWKrMEIDQ1l9uzZNG3aFHd3d9LT0+nWrRuffvopNjY2+Pj4MHPmTJo3bw68j9yHDh3KqFGjZKotODiYqlWr4ufnh6a9z8mbmpoydOhQTp06xeHDh6latarc0XPv3j0qVarE4MGDWbNmDdevX2fo0KGSLRSAWvwUjuXIkSMMGTJEOveCggK++OILVq1ahaZpMrioXbs2L168MNhZphYCq+2Hh4dTv359GjRowOTJk3ny5IkEo/7+/piamrJjxw5pTAE8PT3ZvHmzBC1lZWVMmzaNjz/+WBo5wTC4uLgAfz2bS8yfYA007T37OGvWLKKioqTRbNu2LTqdjqysLDRN49mzZ/Tu3Zs5c+awd+9eWUi+YsUKKleuLKNWUfQrmCQRSFWoUIG9e/dKpy/m39PTExMTE1mL9PLlS5o0aULPnj3lWIQdFcBbMGZeXl4MHTqUd+/eyc96eXlRrlw5yfqVlZWxc+dO/vKXv3Dp0iWys7MpLS3l6dOntG7dml69ehH7b5fdaprGuHHjpB0TNlTou16v59y5c9SuXZulS5dK5kKv10sdef36Nc2bN5dB2OLFi9HpdHJXnUhPqLsWIyMjmTNnDjNnzuTIkSMS4G3bto3y5ctjY2Mj7Z0ArCrjKoDg2LFj6dy5s9zhBzBu3DhMTEz48ccf+eijj9ixY4dB0XOfPn0YPXq0BFKBgYGYm5uzbNkyevToQUZGBq9fv6Z169aMGzeOjIwMybKJVKsA7+3atQP+ms4MDg7mt99+w9TUVOqHpmmkpqby0UcfMWHCBDRNo0+fPnTq1AkvLy+2b99OtWrVGDNmDBkZGRQWFsojIgoKCmjevDkHDx6U67hGjRr07duX5cuX8/z5c/70pz8xduxY+axBgwbRuHFjTpw4wf79+2ncuDHt27fnxIkTWFlZYWVlxY0bN3B0dESn0xEeHg5ArVq16Nq1K9evX5dMflxcnGRHjxw5gqmpKcOGDaOoqIiuXbvSrVs3GZwMGjRIBo+a9j4FP3DgQDRN482bNzRr1ow//elPzJ07F39/f+zt7alQoQKxsbEEBARgamrKoUOHDI4fUWvINE2jcePGJCQkABiwjX9I0KMWMAmK2dbWFgcHBwPQ4+fnh7m5OZcuXaKgoICUlBS2b99O//79+fXXX+nQoQOdO3cmVikofPPmjVzor169IjAwkNLSUpYsWULNmjV59+6dTGNMnz6dW7duyYPH8vPziY6OplmzZlSoUIGEhAQSExPp168fn376KStWrMDMzIxp06bx6tUrMjMzuXjxIg0aNCAoKIgnT56g0+k4cOCAVC5N05g7dy6mpqZs375dGhMPDw+aNWsmD3VTQc+xY8do1aqVPAAsKiqKKlWqYGtrS3p6Or1796Z9+/ZcunSJnJwcsrOzmTdvHh07duTdu3ds374dnU7H2bNnKSgokLU7a9eupX///gwbNgw/Pz+io6OJjIyUJ8vm5OTIaLOgoIDz589TtWpVIiIiCAkJoXbt2qxatYqYmBjS0tJISEiQ9Hq/fv0YNmyYdLiTJ0+mYcOGPHjwAE3T6NKlCzqdju+//x6AX375hXr16nHv3j1ycnLYuHEj9evXZ/v27TRp0oTKlSuTnp5usPW/qKiIKVOm8PHHH+Ps7ExCQgIxMTEEBgYanKFRUvL+zIzu3bszfvx4SfH/9NNP1KpVi4KCAo4fP06lSpWwsbGRjubmzZtUr15d5vrF2TMhISGYmJgwbdo03r59S69evdDpdOzZs4eCggJsbW359NNPKSkpISsriyFDhtC5c2dev35NXl4eR44coXLlypw9exaAO3fuoNPpGDx4MHFxccTGxlKnTh15zsqRI0cwMTGhffv2hIaGkpqaSt++fWnevDmRkZFSxiLSFDstpk2bhpWVFfC+Lu7Jkyc0bNiQOXPmyDX1888/U7NmTZ4+fSpTgsZsgUgnatr7dIy5uTl169bF19fXABAdPXqUcuXKMWPGDAAyMzN59OgRNjY2HD58WBZJpqWl0a9fP8zNzYmJiQHg8OHD6HQ6Nm3aRHp6OrGxsVIPDx8+zLNnz4iIiOD169dMmzaNCRMmGJxH1aJFC3Q6HY8fPyY7O5udO3dSv359qW/C+MbFxVGrVi0+//xzeXifYAHEmSKurq6YmJjIwlwBvvR6PZs2bUKn07F79270+vebJ2rWrEnXrl1JSUmRpzGnpqYSFhZGUFAQZWVlRERE0LlzZ3lWkJCps7OzZLg07X29VteuXaXOifkQztTMzAxXV1e5s7NHjx40aNBA7rhUwaoI4BYsWECLFi24efOmZP30ej3Jycls2LCBBg0acPHiRUpLS5k2bRo6nY7t27dLmyUYVLG2N2/ezNKlS4mPj5c7wkQhcbly5WjZsiWRkZEUFxfz4sUL7ty5I9lXAXjKyspYv369rIcpKioiLi6OHj16MGDAACIiIujSpQtfffUVGRkZFBUVERYWRufOnSUwzs/PJyUlBSsrK6pUqcLMmTNloDFv3jzq1auHs7Mzb9684f79+1y/fp24uDgePnyIt7c3EydOBGDXrl3odDquXLlCcnIyzZs3p3///rx584a8vDzu378va3OKi4vp1q0bw4YN482bNyQlJWFubk7lypXx8PDg+vXrbN68mYcPH5KVlUXjxo1lbdidO3eoXLmyDJTfvXtHo0aNJCuTmZlJx44d6d+/P+np6aSmptKlSxcqVapEx44d0el0WFtbk5iYyLp162TtVX5+PqamptKW7ty5k48//piTJ0/Ko0kWLlxInTp12LVrF7m5ubRt25aePXtSVFREYmIivXr1on///qSmplJY+P7C73bt2qHX62X6q169erIe6eeff6ZChQpER0eTkpJC9erV6dmzJ97e3gQGBhIeHi6DVMGW1qlTh8TERDTt91fG/KHTW6KY8KeffsLR0RFAUqunT5/G1NSU7777jsuXL/Pzzz8zZcoUDhw4QH5+Ps7OztSoUYPp06ezcOFC1qxZw4MHD6SAxeIFmDlzJlWqVCEqKoq4uDhGjhxJ/fr1GTFiBOPHj2fLli2kpKRIpqdmzZocPXqUY8eOMWDAAAYOHEhgYCDfffcdLVu2xNHRkVu3bjF58mRWrVpFXl4ed+/excTERFLSwoDdvXsXCwsLevTogbe3N9euXWPevHls2bJFsl1qIbOXlxetWrWSZ4zExMRQpUoVpkyZAoCbmxtt2rThm2++kduxe/fuzd69ewFwdXVFp9NhZ2eHv78/c+bM4dNPP+XAgQNcvnyZVq1a0bVrV6ZNm4atrS1PnjwhMjKS1atX07hxY9zc3Lh27Rqurq5UqFCB9ev/D3vnHVfVte37DSgWRKyxx4jGji323nussZcIiNhbbNiOYsFC7AU0FuzYjb0hdkEUkCagIEjvINL3+r4/vHOexb5A9Nxz333nnvfH+rDZe625ZhnlN8cYc4z1xMfHY2lpiampqZzvDRs2kJSURF5eHt27d6dDhw5ylzV37lxKlCghA2979uyZL9Zg06ZNlChRglOnTnHjxg1q167NhAkTyMrKom/fvpQrVw4PDw9pmhe7xlu3btG+fXuaNm2KlZUVVlZWzJ07N18OIq1WS0JCAgMGDKBp06YEBgZK607lypW5c+cOYWFhTJkyhS5dumBra8uDBw+YOXMmgwYNIiEhAUVRZEqDtWvXYmxszNatW0lOTqZNmzaULVtWujEXLFhAuXLlePXqFcnJyQwdOpQ6deqwY8cObty4wfz58zE0NMTa2pqQkBCOHDlCqVKlZDyCj48P1apVY926deTm5nL48GFMTEywsLBAUb6coGrTpg116tTBxcUlH+hJSkpi5MiRWFhY0LFjR27duiVB4pEjR6hQoQJdunTh9evXxMTE0Lt3bypVqsT58+el61C9OxegR+ysb968Sfny5Wnfvr20SmZlZZGWlibpasSIEfj7+3Px4kVGjhxJ48aNWbFiBWfPnsXV1ZWDBw9Sr149ihcvzvTp03Fzc8PCwoLSpUszdepUTp8+zcyZMzly5Ig8AXP16lXGjRuHubk5rVq1wt7eXvbPxcWFGjVqUL58ebZv386pU6fo3Lkzbdq0kbmMRLwTfLEylitXDnt7e2kZEgnnsrOzmTt3LjVr1mTixIn5QGB6ejpz586ldOnSzJgxg+zsbA4cOED16tVp1KgR58+f58qVK5w4cYK1a9fy66+/cvPmTTw9PRk3bhyGhobY2dnh5ubG06dPuX79OuPHj6d48eJYWlry5s0bFixYgJmZmYx9E0njADw9PWUcnZubG/7+/nTp0oVKlSrh6+ubT5kIhaPVagkICGDIkCFMnjyZo0eP4ubmxvPnz9mwYQOtW7dm0aJFEqiNGjWKcuXK8be//U0qLAHQcnJyiImJoUePHpJW1fm1RIxg1apVsbOz4/Pnz2zevJn+/fvj4eEhwaeQa56envTs2ZM5c+bw+vVr7O3tGTZsGK6urmi1WpycnGjYsCGOjo68ePGCFStWYGVlRWhoKHl5eaSkpJCVlYWvry/ff/+9dJ/m5uZy79492rVrR4MGDbCwsMDS0pIrV65w7949JkyYwOTJk6V72d7enrJly0qL9vbt22nYsCF/+9vfuHDhAjY2NlhbW8t8TV27dqVJkyYyf1CdOnUYNGgQVlZWDB48GEtLS2JiYvjw4QNNmzZl1qxZZGdnc+bMGSpWrCjjKf38/KhRowadO3cmKCiIFy9eYGpqSsuWLTl69Cg7d+6kVatWdOjQgUmTJlGlShVatmzJqlWr6N+/P+XKlWPWrFl4e3tTs2ZNCfqCgoIYOnQovXv3Zvv27Zw8eZKBAweyadMmYmJiCAsLo3z58jRq1Ig7d+6wadMmTE1NadCgAdu2bePPP/+kTZs28nTlpUuXqFSpEr169SIwMBCA2bNnU6xYMXlSedGiRVSuXJmmTZvSq1cv1qxZQ3Jyssx59OnTJypVqiRlqaBRQbOCl/8tQY+wbmzatEkiesG8586dkztse3t7li1bxqVLl2T9npiYGMaPH4+ZmRlmZmasXbuWuLg4MjMzZaCYaGvdunVMnDiRmJgYcnNzcXd3Z/369fJ4o5OTE+np6fj6+mJra8v8+fM5cOAAK1euZPHixdy9e5fs7GxevXrF5s2b2bFjB1i0vWAAACAASURBVLdu3eL48eNER0fLXXHfvn3lrklYJ7RaLc7OzowdO5aJEydKc2hMTEw+cCbQ75UrV1iwYIHczYWGhjJgwAAZLBcZGcmxY8ewtrbm0KFDODg4sHPnTmnRuHLlCl27dmXz5s2cPn2aTZs2ceDAARITE6Xp8+eff+bnn3/GwcGBiIgIdu3aRZ06dejXrx8HDx7k7NmzrFq1ijZt2tC1a1fc3d3x8fFhzZo1dOzYkU6dOnH06FHpUrKzs8Pe3l7ukMWxe3HsfMmSJfTu3Vue9jh79iz9+/fn2rVrODs7s2TJEvz8/NBqtRw4cIBly5bx+vXrfK4nocyvXbvG9OnT6dKlC9bW1pw7d06eHhFm9eTkZA4dOsSiRYvkLvTKlSssXLiQU6dOkZ2dzdu3b1m7di3du3fH3NwcBwcHXrx4Id2G4hSXpaUl8+fPR9Qwmjt3LlOmTOHdu3coioKDgwNDhw7lypUrZGdnc/LkSVauXMnOnTs5deoU9vb2/PzzzzRt2hRHR0eePHnClClTuHr1qnyPlZUVy5Ytk+UGFi1axMWLF8nL+1IqYf/+/UyfPl1mwhV0/fnzZywtLRkwYAAHDhyQtK8oCvfu3WPOnDnMnz+fZ8+eySD3xYsXc/PmTbnpULuWBH8KunR3d2fp0qXY29vLgHCRr8nR0ZFDhw5x7tw5jhw5Qrt27ShVqhT169fH3Nyc3bt3c//+fQ4cOMC0adNo3749VapUYeTIkaxevRoLCwuZBdjGxoZt27Yxffp0du/ejb+/Pz169KB79+6cPn2akJAQqTydnZ2ZN28e8+fPZ82aNezfv59ly5bh6OgojzMLS05ubi4rV66UeX6EKV4o96ysLH7//XcOHDjAtWvX8rmM4+LiOHz4MFZWVjg6Okra27dvH1ZWVty4cYMrV67g6OjI3LlzsbW1JS4ujrlz52JoaEjjxo1ZsmQJW7ZsYceOHTg4OLBhwwaGDh2KqakpVlZWjBs3jsWLFxMfHy8Vu1AIiYmJrFixgqlTp+Lq6oqHhwd2dnYsX76c0P/IQyP6qgauOTk5vHz5EgcHBw4cOCCDrVesWMH27dsJDAwkLy+PhIQEdu7cyZIlS7h27Zo8EabeaMTGxrJy5UouXbokAYa40tPTOXnypGw3IyODQ4cOUaZMGZnMUcyzoK9r165hbm7Oli1b+P3333F1dZWWoPT0dLZv387u3bu5cuUKe/bs4enTp/lcZampqVy7do158+ZJRSrcdzdu3MDS0pKhQ4eyZ88eoqOjefv2LatWreLgwYNSAT948IDffvtNxhsmJSVx6NAhVq1axb59+zhy5AgBAQEyWHrTpk3Y2dnh6OjI+vXrOXLkCC9evODy5cvMmjVLnsIMDQ1l48aNMtXAxYsXWbt2Lba2tijKlxxw27Zt49SpU8TFxeHt7c2yZcuYOXMmtra27Ny5E0dHR27duoW/vz+2trZ06NABOzs7jhw5wtKlSzl48CDBwcE4ODjg5OSEonyJm/Lw8GDChAl06dKFjRs3cuTIEZlUMjIykv79+zNo0CD27dvHihUrmDFjBlOnTmXWrFls376dQYMG0aJFC4YNG8bu3bsZM2YMhw8fJiwsDK1Wy4YNGxgyZAhBQUHk5OQQERHBsmXLGDhwIOPGjZOWXbGRSElJwcTEhMTERLlRUhRF0tC/3ZF19RE2MRnr1q3jwIEDwN9Pb61fv54ffvgBd3d3PDw8+PjxozT9CgHt5ubG+fPnuXDhgvSdC+YQiiE7Oxt/f3/8/PzyxTAkJCTw/v17IiMj5b3CbRMWFkZkZCSvXr0iJiZGAjQROxIeHi7jSsQCxsXF8fTpU96/fy/HJoSRcDdcunSJZ8+eSUYW/RGMr9VqZUCnABCfPn3i+fPnMnGe6EtoaCiRkZF8/Pgxn2siPDyc+/fv8/HjR8LDw4mLi8uXIyEzMxMPDw8ZeKbValm1ahUbN27k2bNnhISEEB4ejru7O9euXWP9+vU8e/ZMCuI7d+5I87h4Z0REhOxfdna2TO4nAqR9fHx4/PixVErx8fE8e/aMhIQEIiMjiY6Oln0RxRlTU1PzCXVBP+Lkx/379yVTqo9BChdGYmKiLKopkvgJF6iwrsXFxXHp0iWcnJykklQfBw8PD+fRo0fSbSqSD4qklVqtluDgYNzd3RG1qdLT04mNjZXFNENDQ3F3d2fTpk0ylsPf31/GRKWlpeHv78/z58+lhSUyMlLu+oULIzAwUAYGqgFKUFAQbm5ucr7U9b5CQ0MJCQmRCi0mJoaPHz+SmJgolYY6lkO0Kb4XRUNjYmLyKTCRdVg8e+nSJSpUqMAvv/zC4cOHcXFx4d27dzJZZnBwMLdu3WL06NH06dOHsLAw3r59K+lFxGb4+PhIWn748CEPHjzIt6ZarZbw8HA5Lk9PT8mLcXFxcv7EWmVkZBAeHk5kZOR/qt0nAF9ERIQcu9ralZ6eTnR0NEFBQcTFxUnlmpmZSUBAAKmpqZKmAgMD5ZxOnz6dESNG4OzszIsXL3B1deX58+cEBAQQGxuLm5ubjKl4+vQpoaGh+VyzanoPDw/H09NTukMiIiKkPBL8oI6VUFu5c3Jy+PjxIxEREdy9e5fQ/8grpZ7P2NhYOTdi3oWMEPdER0eTnJws1170TbhzY2NjJU+9f/+eESNGcP369Xx9Ux9/d3d35+7du4SHh+db18+fP5OamiqtE+Jka1ZWFv7+/ty4cQNHR0esra15/fq1BKgCEOXlfalR9/r163w6Rriv1fFqERERkn/FfISFhfH+/ft8uYmSkpKIjo6WRXfVMjg7O1vykgDSMTExks6io6Ml/Yux67qTIyMjCQ4OxtvbW57WFe+OiYnh9u3bJCUlkZ39Jfu2OshfHVOZl5cnj9z7+fnJjaJwUz5//hxXV1f8/PwICgri/fv3+Pr68vz5c3x8fHj27BkXL17E1tYWb29v6TYWm1qRSyspKUnK2Y8fP+Lm5kZAQEA+a3xOTg6BgYFUq1ZNhmioLTtizv9tQI/YSYi/QrnMnj1b+g8FaGnXrh3t27eXhKI+ISAYXE0k6olUB9GpgYlaOIjvdRehoO/UhK4OwhIMIv4v7LNoS1fBFAQE1WY/QRS6FjL1vbp9V/tM1f0U96iP7oq/b968kQStbksEEAuFqlaI6jbFvOj6a3XHrgYvuuMQjKE7Lt0x666nel3Vvxe2DuISfdZV/GraVPehsORaup8LGpsI3hSniNSXeF9B7an7pm5TjLWoOdelDd2rsHlR05/6PQX1U9CSn58fM2bM4NWrVzKYV63oxPpeu3aNc+fOFUinuvSips/C+qj+TU1bor+F0ZT4Tb3uurRfGL/pAiT1ONLS0njy5AkvX74ssG3RlsgUrh6nMP/rvrOw8avXUZcehPIpam5129Vd78L6Icaq7qtY51evXnH9+nUiIiIkEFGPXb1REjyoBm+6YxMAYvfu3bRr145GjRrh7OycD9Sq+US9HgXRqi4NFDbHBckc9foXJNvV7RVGr2r6KWg91LJVzfvqVBJqPaSmL9FP8btazxYmt3T1gLA4qmmioPUraCxqnSYSsoqwg6J4+X896CmIeeLj4xkzZgynT58GvuSK+PjxI82aNZO5Z4SrSk3cog0BnApiYvXCFSTkC2J+XSIsTJEU9L26H7pMoCbmv2KOgpRmUf0sTDAX1k/d+dAlXDF2XaUhmKwwZaIWhmrhWND8qxmoICFQEHOo7ylsTQvqU0Ft6wLvguinIBrQHVth9+jSUVFrXBAAUAtSdVu6dFVQ+3/VblFCuqD2C5pH8TkjI4PExET8/f0ln6qL/AohLCxronyJrhIqSNH8FRAuCBAWtIZFCdu/AhV/xY9iQ6bVamVAvZo+1fWWhJUpPj5eJt9U01Jh61cUrxe1hl8rxwqTWQXxUFG8GBoaSnx8PIqiSIWnCybF2hfGbwXJn6tXrzJs2DCsra2lxSQrK0uezCyKFwoa27fIdN2+/xUf695f1Hr9lRwrDLgWNK7C5lXQqC4die90DQC6tFKQ/Favo7qPAoDv2rWL8ePHSwumLj3q9v9/NehRD1gEvUZHRzN8+PB8oCclJYVDhw7h5OQkg+d0iUhXcBfEsAX9XtR3ur8V9UxRn3X7oG6noM8F9aew3752XLpgUz3/uu9RK0JdRVCUQPxH+ldYP4v6rqj1KGz+C2r3a9bsa+joa9dJ/V1RYOOv2iys/0XN4deM62vnSfdS04cwpYu6XULRiySDWm3+IOmCTN1FrW1R/ftaHvlH172o59RySFch6Cor9U5c5PEpCNR9DR8UNidf2/+i+PSvaK+wdnSVYG7u36uqq8dfFPgsjMZyc7+4jjw9PQkLCyMvL+8/uXK/dixFyZuvpZOvpb2v5ctvob2vWZ+/4oGieL0wnixsbXRBu7C23rhxgwEDBkgXuFhH8VcXaH/L9S8NesTgP3/+zPjx42UZCnWuFXFUU3fCRBv/t/v/r3wVJHR0f9cl6v/pPv//6//NS9eCkJ6eLo+A5+X9vZq0OmZDq/17dfqChOu/2qXLT2IuFOU/V60WIEdRFHm6RXeX/D89nv8KLWi1+eOuxNgURZGWr2+V2ep5FfMk2lfnF/tXn79/tUvXcKEGTaLQbnBwMM2bN5eBzCIWFshH9/+IDv+XAz26gkKcyLCyspIFR9WJyYRAFROn/l4XjYq/hSHngu4t7BndzwWNozAkXVhbBfWpKHRfVB8KurewuSgMneuazAsyRRc1h1+7Mynq2YLG9K3rU1RfCpufotauqP7/1fsLo7tv/f1baeZr+vyt9PZXzwl6ETF44rO6nIWaZ9VuoL+ir6Jo4mv44Z/5uajvCtvxqnlKUf5emkKMX7hn1LLsr9bnr+anKLopiA+KovevlV/q/qvHrCu/v8Y6X9j78/L+HqOkdh2qT8d+DS9+i374mt+Kmq+/mrPC7v1a+fQ1fP4t8utr1l5cBekHQfsC9AQGBsp6fYL3Bb3rxl/p0uRfXf+SoEd9CdAzdepUVq5cCSB3RWJSRGZXdaBUQaDnW65/5Jn/l6+vHY9aIIvvCvJZf40w/v/Xf+86/U/3tahL170lApfVhw7Ulg5dl09hMQz/XfPzLeDmW+dAjE0NesSYhVJWAwCt9u+V3P9ZsqsgC+7/BD0IgKfOGF5QgPK3jk13jsVn3bb/X+ebgvr439nnf1bbBelwNc0JC65Y91evXjF48GC5GdLtz3/F0vsvC3rUlgVFURg/fjxr1qwByJcAS6vNf+xRVxl/C+gp7N6iiPBr41kKWsjC7lH3o6j7xO//TPBRlNuqMKIsbG6KIuD/CnN+zfN/dc+3KDn12P9qrgsCi98y73/V/4L68M9Qct9iTfiredKlI1G/R+zERfJC9c5ObQnRPSn1Lev+f/P+b7l0g0IFHwjQI/4Ki4Wum09tAfkW+td97h/lv6Lo5lvbK+i0T2EBtkWNT32/2lKm3vgWRLcFybR/RIYWNe5/5Ld/hlwrik7+GXqiqL4XpMPVOlpY3xRFwdvbmz59+sjM3IIGCpMh/+tBjy4xA5ibm7N27VoJesRvuia0woi8MKbRZUBhZlMTkNoMrfbLi52a+h7Rtu59ubm5st+FuY5Ee+oTLWKcgijEmMVRTbWlS91P9a5H12WgHou6TfG/7rgLYhgxbt1n1XMrXBfq3b16ntXEru6f+jhmQcJNfC4o4FUd36WmD/VuUJcOCkoPUNBxdbUpXhd0ineKGDNF+Xusgjq3irqPYq0VRclXeVo8o36PiIERQZtF0XFeXl6+4H7dMYk+qF1M6p1YQSf7RN91+yX+F+9Sn8ZQ07R4l5eXF6dOnWLnzp0yeaMokyDAkZoPdPmlMIGuPv0k+qa2rAj6E0BDPR5BZ7q0r6Y/9bsF7Qv6VlsrdOdJzL3gfzE23XeK2lfiWfVRa0FXajkl/hZkMVEr/JSUFF68eCHzXIn8U4IGdNNT6MpgsXZqelCn+hDzrZYpar5Rt6VLS2peVdd1U8umgsYm+qOWXeqNr3oN1HI8JiaG+/fv8+7du3zV58X7xXroptcoiBfUAFY3Jk29bmo+LUjuqeWDeg10Qb+apnW/V8sicWhATcNqGhFzpcsbahez+E19qlBXd+jyR2GgRzfWVjzj4+PD4MGDSUhIAMgn8woLUfm3AT3q2lsbNmyQoKcwZfxXoEd34YTvXCi0T58+/ScTvFgwITTUilMQhvpkilpYqBOdqQOwRbIvsfMVbYsCbSLpk1oJid/VRzLV/RffC8YVilV8FopOPT6hpEXNHPWRWjFm9fFiMXYxVlGmQLxTXQBUpB3PzMzk06dPMrZDPCP6rhYgnz59knMnBFF2dnY+wCj6LuZGCA3RnhiPEACC0dW7QTEnAkCKMYu+i/VR1+wShW2FxULMp4gxU9NTTk6OpKWcnBz5nHi3mBchiES/BVgSxV5FH0U7gjbE2orfBAhW91koSjWNqRWd+F5d5kSMRcynGKtIzCjWTiRuUwvWzMzMfGUr1GNMTU0lOzsbW1tbzMzMaN26NS9fvkRRFJnIUJ3wTr2War4T71GDCjXvqN+fnp6e76CDOimj+E7MpaADNdgQtKWOOxL3qEGeoFn1/Iox5OTkkJaWlm/t1Dyttn6JPqjpVdCH4CtBc2q6FuNX07tYn+joaAYOHMisWbO4e/cu3t7eship6LO41OBM9EtddV7QlJo/xSk8Me9qmhX9032PLo+r+yLmXk2n6vVS06MYt5pm1fOvlhOK8qXAZ79+/Zg8eTKXLl0iMDBQ9knwvxhHQTJbyAb1Zk7QoxirkFPiN3VSWXUNNMG/aq+FGmCq36/eBIiYGN31V8c0qeWV4CExNl29oAbS6r6p2xLvUm/SxPsEYFHrcF3drAZmQid7eXkxadKkfFm+1Xr23w70qAGKAD22trbs2rULIJ8lRn2/GvSo/+qCHjWDqZkrPT1dCkH1pd6pi+8EYan/qplFDQS02r8n0RLEJk5oiPcLZktJSZFCUL2rUCsk8ZsQuGJ8gml0iVRtPVC3pbbsqJldF2zpEr/YbamfVzOnmBOh6LVarRTCAhzqMpF4Tghu0U+RyE5tJVLvCnSVt67AUANXAUjVQl4XtKh3Q+oxFgTw1MpY9FU916IN3fnStZiIOVCDUXVlYnXfxakeNegR94v3qMemayVSC23dXZ/aAiGUthrQqOdYCFD17lCtmNR0JNYjNjaWQYMGodFomDZtGnFxceTm5pKYmChr7AmaUQtetVJSK1Ext2oFqB5bampqPsWlpgU1MFErVqHE1fyn3vCoQbHgDfFZTZtCSQre1rXgqGWD2qoo+EQ9FvWaib6qrUZqWSbaEH1KT0/HysqKTp06sWHDBtzc3OTBD7UFRRdgivVTWxjUSlzcL/hZDfrUcUrqfot21fFdasWrHp8a0KqDk0VmXzWvCfoUbauBsHheUb5kr549ezZt2rTBxsZG1uZSW+vFvWpZoLt5VNO3LvgQ8lEtJ9R8KHSaGpSpAZFapqrlp3pu1PSqpk8xb+K9gkfF97qbUl3aVANtNS3rbvCFnBH8rwtOdK1BauAj7vXy8mLixIlyPcX4CrIM/q8HPWqwogY9mzdvzleG4lsnRQ2M1MUYr1+/jr+/vxSOWu2XGinPnj3j2bNnMrX358+fZbVnseNJS0uTICk8PJz3799LQo6IiODRo0fcv3+f0NDQfLuD6Oho0tLSiImJwc/Pj6ioKMkQaWlppKSkcPfuXR48eICXl1c+QfHp0yeePHlCYGBgPiX6+fNngoKCeP36NQEBAbi4uHD69GmCgoKIjY3F1dUVf39/IiIi0Gq1JCcn8+bNG5KTk8nKyiIhIYFnz57h4eGRT+h9/vwZb29vbty4wfPnz0lJSZHvjYmJwdfXV5bbSEpKwtPTU85Zamqq7GteXh5BQUHcv39f3vPq1Svc3d158+aNVFyxsbHcvHmTx48fy3kXAlwIsNTUVF69esWzZ89IS0uT4PHjx48kJCTIQoDe3t5SWT98+BB3d3e5Nvfu3SMoKEgq3evXr+Pt7U1UVBSRkZH4+fnh5+dHcHAwPj4+eHl5SctBbm4u165d488//+Tp06dSoMTGxvLixQtevnzJmzdvePHiBQ8fPpQ10nJzcwkODsbDw4Nnz55x48YNAgICJD0Li1NCQgK+vr6EhITw6dMn0tLSiI6OJj4+Xu7gXFxcuH79Oi4uLpJ+kpOT8fX1xdXVlY8fP6IoiixzoU4PL4RmYmIi7u7usuyJVqvF29ubyMhIqTxTUlJ4+fIlb9++JTMzEzc3N1keQK3A/f39uXbtGp6envmEr1b7pQxGREQEV65cwdTUFENDQ3bv3o2Pj4+kd7Ww9vT05P79+4SHh+cTiOHh4Xh7e+Pl5ZXPIpuRkUFAQAC3bt3izp07spSJ4JUnT54QExMjhXVwcDApKSmyn+np6aSkpHD69Gk+fvwogUxUVBSenp5ERkZKOnJ3d+fhw4f5rFe5ubm8efMGX19f3r9/T1hYGCkpKWRnfyl14ubmxsuXL3F1deXBgwe8efNG0nVYWBgBAQH5gEteXp4swyLKKWRkZBAVFcWjR49ITU3NB7zT0tK4efMmvr6+cjwC9D19+hRPT09u3brF48ePZUkMtbIRFiwB6lJSUkhLSyMiIoJXr17J+fHx8eHJkyc8evQINzc3CVY/fPjA/fv3iYyM/E8K8+3btwQFBUnFHhISwr179yQtZ2RkcO3aNUL/owSGWrY8efKE4OBg+b2ifCkEm5CQQHJyMj4+PrKEjpANcXFxJCYmkpiYmC9Z7adPn3j8+DGPHz/m6tWrPHr0iLdv30prj1pJi7UICwvj1atXvHr1ChcXF1xdXaWsyc3NxcfHBw8PD2m5+vDhAw8fPpQb2levXuHj4yMtWoI+MjMzSUxMlOUdhE569uwZ7u7uEtBkZ2cTHx+Pt7e3bEvIX7EBS09PJygoiFevXuUDVS4uLpKvs7K+lP/w8/OTG9iwsDA+fPiQT9YnJyfj6upKQEAAiqKQnJxMcHAwsbGx+WSH2hJakB5WGx0ELegCHz8/P0aMGCGtr+r7dJ/5twU969evx8HBIR/o0XVhFXWprUKCAI8ePcqwYcOYNGkSFy9eJC0tDV9fX1avXs3BgweZOnUqK1aswMfHh0+fPuHk5MSsWbOkMBbupJSUFH777Tf2799Pbm4ugYGBrFy5kjlz5rBo0SKWLFkiCzgGBASwfPlyHBwcWL9+PaNGjcLGxobQ0FC5yBcuXMDW1pYNGzYwfvx47t69S15eHl5eXuzYsYPVq1ezd+9ezpw5I5F+ZGQk69evx9ramuPHjzN06FDMzMy4cuUKb9++pXv37syePVvubl68eMHo0aOlgt61axfm5uYsWLCAgwcPEhQUREpKCgcPHmT+/PmyUJ+6EvXvv/+Oubm5rCb+4MEDRowYwcWLF+X/ffr04c8//wTg/PnzdO3albVr1+Lr68usWbMYNGgQDg4OsgTDpk2bZGX7gwcP4unpKXffQvlFRERgbW1Nv379cHNzk4Bw9+7d3Lp1S5Y8sLKyksplwIABTJgwgc+fP3Pjxg06d+7M7t27URSFsLAwOnfuzOjRo3Fzc2PWrFksXbqURYsWMXXqVGxsbBg7dixnz54lOzubq1evMnfuXCwtLenbty8XL14kOTmZxMREbGxsmDFjBs7OzkyePJkePXpIZfTo0SNmzJjBnj17mD17Nu3atZNFWdVWlzdv3jB+/HhsbW1JTk7m0aNHrF69miNHjhAbG8uhQ4f45ZdfmDBhAn369GHTpk1kZ2cTHBzM/Pnz6d69Oy4uLqSmpmJjY8PMmTOlIFNbJV1dXRkxYgT9+vXDz88PZ2dnRo0axcaNG0lJSeHTp0/cuHGDwYMHM3fuXBwdHRk4cCBLly6Vtcb8/Pw4c+YMjo6OTJ48mZEjR0q3VUJCAhcuXGDu3Lm8ePGCsWPHUqxYMapWrcqaNWuwsLDg5MmTJCYmkpf3pdbd1atXWbBgAb169WL58uWyntSNGzf47bff2LVrF1OmTMHBwUEC1kuXLrF69WoGDRpEp06dOHjwIFlZWXz8+JHevXvTu3dv3r17R3x8PCdPnsTKyopnz57JOTt58iTR0dG0bt2aJUuW8O7dO7Kzs/njjz8YOXIkjo6OpKWlER4ezqBBg+jZsycJCQmkpKSQnJzMlStXsLGxYdmyZcyYMYMVK1ZIRXHr1i2GDh3K0aNHmT17Nt26dWPlypV8/vyZ0NBQVq5cya+//kpaWpqs26XVann+/Dn9+vVj2rRphISEkJ2dzebNm+nZs6eUiQkJCVy/fp3z588zbtw4xo8fL5WfVqvl+vXr9O3bl1OnTpGbm8v79+/5/fffWb58OSEhIQD5rDjv3r3j6NGjHDx4ED8/P3bt2sXQoUN5+/Ytz58/Z9GiRaxZswZzc3MGDBjAhQsXyMjIYP/+/XTt2pUTJ07kO2ofFhaGpaUlNjY2aLVaUlJS2Lx5M507d+bRo0cAODs7065dO/bs2UNeXh4hISHcvHmTJ0+eMHPmTGbOnCktgpmZmZw7dw47OztCQkIwNzfn0KFD5ObmEhsbK2u6BQYGsnXrVlxdXSU4d3FxoXfv3uzatUtuUFatWsXy5culIhZzLzbAGzduZN68eRw+fJju3bvTo0cPCeCCg4OZMGEC5ubmREREEBUVxbJly+jRowexsbG8efOGIUOGMG3aNLTaL5Xtx44dy8aNG8nJyeHJkyeMHTuWQYMGkZeXR3R0NP369ePXX38lNTWVtLQ03r59y7p167CxsWHlypWMGTOGAwcOoChfXOAREREcOnQIe3t71q5dy5EjR0hJSSEiIoKuXbsyZMgQkpKSuHbtGnPmzGH8+PH4+Pjg5ubGwoULmTdvHteuXZNg+/Tp03Tv3p39+/eTl5fH7du3sbKy4s6dO3KDIwwGQqfquq10QyawWAAAIABJREFUda3aO6C2hoaEhNC+fXupSwpzh/3bgR6x+wWwsbFh+/bt+UDPt1h61BMZERHB7NmzWbJkCXv27KFHjx60bt2at2/fcubMGVq2bImvry+7d+/GzMyMRYsWkZWVhZ2dHRUqVMDW1paoqCjJiGfOnKF8+fLMmTMHrVbLmjVraNiwIXv27JHCun379gQEBPDq1Svq1q1L9+7dWbBgAePGjaN58+bMmTMHDw8PvL29ZXXxS5cuYWpqSufOnQkICGDhwoV06NCBW7du4eTkROPGjWUl4ISEBKytrZkwYQIvXrygc+fOlClThidPnpCUlMQPP/xA27ZtZWHEHTt2YGRkxIsXL7hz5w4LFizAzs6OgwcPYmpqyooVKwgJCaFRo0bMnj2b8+fP06ZNG2rUqEHof1RwbteuHdWrV8fb2xtFUdi/fz8GBgYcPXoURVFwcnKiVKlS+Pn5kZ2djYODA/r6+qxZs4bExETGjx+PRqPh8uXLfPr0ia1bt9K7d2+2bdsmq5v/8ssvhIeH5zMJp6WlYWlpiYGBgXR5xsXFyarccXFxNGzYkHbt2knrSatWrWjYsCE5OTncvXsXY2NjVq9ejVarxcPDg/Lly1O9enU+fPjA4MGD2bZtG9bW1hgZGbFmzRqsra1xcHDg1atX9O7dmz179mBnZ4dGo6FDhw6yltKCBQuwtrbG39+fLl26ULx4cWJiYkhOTqZPnz40bdqU58+fM2vWLPT19Tl37pzcqYodZ0BAAIaGhowbN46MjAzmz5/PlClTOHjwIO/evaNhw4asWLGCkydP0rdvXxo0aMCHDx+IjY2lc+fOlCxZkpcvX3LmzBk6duzItGnTZFFDYS1UlC/V30uXLo2enh7W1ta0aNECAwMD2rVrR0xMDLGxsUyZMgWNRkOPHj2YP38+JiYmVKpUiXv37pGQkICFhQW9evXizp077Nixg3LlyjFmzBgyMjI4ePAgzZo1Y8iQIQQEBNCoUSM0Gg39+/fn7Nmz1KtXjxYtWuDq6kpqair29vZ07doVOzs7ypcvT4MGDQgJCeHYsWO0a9eOMWPGcO3aNUxMTOjQoQOZmZnY29vTvHlzli9fzoIFC9BoNIwZM4a0tDRu375NsWLFqFy5MomJiTx+/JjGjRtTtWpVbt++TWRkJHPmzGHIkCEkJCTQsmVLKlSowLp161AUhZkzZ1KsWDFWrFhBVlYW586dQ09PjypVqhAZGUlaWhq7d+9m4MCB7N69mwEDBlCmTBk6duxIVFQUAHv37sXc3BxfX18WLFiAvr4+v/32G3l5eVy7do2aNWtSsmRJmbxRuAycnJzQ09Nj4MCBhIeHEx4ezo8//kjDhg2lpXbLli20adOG1atXs2vXLipVqsS4ceNkmYexY8dKq1pubi5XrlyhevXqmJuby8BmoYg+f/7MihUrqF+/PpMnT8bf35/evXtTunRpXr58yYsXL9i6dSt3797ll19+QaPRsG/fPmJjYzE3N8fAwAAHB4d8bu2TJ09SunRpBg8eLOm6X79+GBoacuPGDT5//sz06dMlYBKgffz48fj7+2NpaYmxsTH37t0jIyOD48eP07x5cyZOnEhkZCTGxsYsWrSI1NRU1qxZQ9u2bXnw4AHx8fHUrVuXvn37kpycTFxcHIsWLUJPT0/K8uvXr1OlShUGDhwo9YLgi7y8PBITE5kxYwb29vbcu3cPExMTNBoNISEh5OTkYG9vT4kSJejRo4cEvtWqVaNs2bJERUVx9uxZNBoNbdq0QVEULl68SLFixZgyZQpa7ZcCzsWLF6d79+5otV9qrenp6dGjRw+ysrIICAhg5syZVKtWja1bt7J3716KFStG06ZNSUxMJCQkhEWLFjFw4ECOHTvGokWLaNiwIe/fv+f58+eUKlWKsmXL4uDgwLx58zAxMaFYsWJMnz6dsWPHUq5cOcqWLcuwYcNQFIW4uDi6dOmCiYkJO3fuRKvVsmDBAkqXLs2lS5fyuWIF6NEFNLqgR9elJTZ2Wq2W2NhYatWqJa3gujq6IDD1vxb06MboCNCzYMEC1q9fD/z99Na3ureEUnnw4AFNmjTh5s2bkgHGjBnD27dv8fLyYuHChcTGxvLnn39Sp04dOnXqRGpqKjdu3JBCc926dWi1X6qK9+vXDz09PczNzVEUhQ4dOtCvXz8JjN69e0flypVZvHgxycnJdO7cmQEDBhAUFERgYCDbtm2jSpUqWFtbs2nTJsqWLcvhw4e5fPkyw4cPp0mTJty+fZtNmzZhZ2dHXFwcT548oWTJktJakZuby759+9izZw9arVYqqLdv36IoivTrA3h7e9O3b19MTEx4+vQp4eHheHh4kJCQwMWLFzE0NGTkyJFERUUxe/Zs3NzcePDgAa1bt0ZPT4979+6hKApDhgyhVq1axMTEAHDs2DH09fW5dOkSiqLw8uVLKlasyIcPHwgPD2fq1KkUL16c7du3oygKa9asQaPRcOzYMU6cOEHdunX529/+RkZGBsnJyaxfv55ixYpx8OBBaaETSsHV1ZVmzZoxcuRI4uPjefToEZaWlgQGBgLQtm1b+vfvLxlz1KhRNG3aFICAgACqV6/Opk2b0Gq1LF68mNKlS9O2bVtycnJkdXcHBwfKlCnDixcvCA0NJSwsjKlTp1KvXj127drF9u3bqVmzJs2aNeP58+coisKyZcs4duwYiqIwceJEjIyMyMvLk0zeuHFjfHx8WLhwIfr6+ri6uqIof49pUhSFDx8+UKZMGQYPHoyjoyMWFhbyBE5ycjJz587lyZMnnDlzhgEDBlCxYkVpyu7evTulS5dm3bp1jBgxAgcHB+kiEHMnhPvSpUsxMDCgVKlSmJub06tXLymoMzIyuHfvHrVq1aJChQr8/vvvvHnzhu+//x6NRsOFCxfYt28fZcqUYejQoWRmZnL16lUqVKhAmTJl8PHxoU2bNhgaGnLz5k0+fPhAtWrVKFGiBHv27OHNmzfUrl0bjUbDnj172LlzJ9WrV6dLly4cPnwYIyMjrKys8PT0pFevXrRu3ZonT56QlpbGxIkTWb58OS4uLtSoUQMzMzO8vb0JCAhg2LBhbNmyhezsbJYtW0bx4sUZP3486enpLFy4ED09Pdq3b4+XlxcbN26kfPny2Nvbk5GRQe/evdFoNIwbN4709HSGDx+ORqNh5cqV+Pr6MmHCBIoVK8awYcPIzMzk6dOnmJqaYm1tTWxsLH369EFPT49Zs2bJgNMLFy4QHBxMYmIio0ePxsjIiBMnTgCwaNEiDAwMMDAwYP/+/fzxxx+8ffuWvLw8Vq5ciZ6eHoMHD+bly5ds3rwZAwMDVq5cSW5uLocPH6ZatWo0btyYhw8f4uHhQZUqVahevTohISEoikKNGjUwMjLCx8eHpKQkFi9eLPlJ7QbLy8sjKSmJn376SQKDx48fU61aNfr06UNUVBRpaWnExcXx4MEDunXrxoABA/D19cXX15cWLVpQsmRJ5s2bh5OTE4mJieTk5DBixAgJ8hRFwcXFhSZNmlC6dGkOHTrE0aNHOX36NPfv3ycpKYlly5ZRuXJl1qxZQ25urlyv/fv3c/PmTZo0aYK+vj6LFi3CycmJJk2acO/ePZydnfnuu+/o1asX0dHRAJQtW5ZSpUoRHBxMaGgozZs3x8jIiD/++ANFUZg1axYajYa1a9fmi2MTn8PDw7l+/Trx8fFcuXKFSpUq8f3335OdnU1SUhJDhgxBo9EwY8YMcnNzsba2Rk9Pj9GjR5Oens6ECRMwMDDA0tISrVbL8uXL0Wg0bNiwAa1WS48ePeTzb9++Zdq0aejp6bF48WIyMzPZvHkzFSpUoFOnTjJUQl9fn7Jly+Lu7s7GjRupWLEiNjY2pKSkcObMGebMmUNsbCx79+7FyMgIExMTtm7dypEjR9DX10ej0TBw4EAsLCwwMjJCo9HItfH09MTQ0JCWLVvy5s0b3NzcaNWqFaVKlcLd3R1FyV+cVx2PpGuR0f1O7RITMigtLY0KFSoQGxtboO7/t7L06IIZcYJn+vTprF69GkC6A75lUtT+6xMnTtCwYUMZe5KTk4Ovr6/0Ly5fvpxHjx7h7OxMzZo16dChA6mpqVy6dIl58+ZhZmZGzZo18ff359ixY/To0YPatWszadIk4uPjqVixIrNmzZIxMXl5eXTo0IEmTZqgKApTpkxhwoQJaLVa6S+vV68ejRo1YvLkyZQvX57Tp09z9+5dLl++zIkTJwgNDSU4OJgjR46wf/9+fHx8MDY2Zvbs2XKMFy5c4NChQyiKwvbt2zEwMCAgIACtVsvWrVupX78+Dx8+xMLCgq5du1K1alUuXboEfDFzp6Wl0a1bN0qWLCmFwa1btzhx4gSnTp1i2LBh6Onp4ejoiFarZfPmzVSrVk0K2UePHlG8eHGcnJwkOK1ZsyY2NjZs3bqVNWvWUK1aNWxtbeXz+vr69OzZk8aNG6PRaLC3t5eCODg4mDp16jB27Nh8p4wEXfzxxx9Ur16dvXv3cvToUaytreWz8+bNo0mTJtjb22Nvb0+zZs348ccfSU9PJywsjIYNG2Jtbc3ly5dp27YtxsbG1K1bN5/r9MKFC1StWpVHjx5JOuvVqxctWrTg/PnzXLp0CXt7e44cOUJ0dDSKomBnZ4eTkxNarZalS5dSokQJEhISyMzMZMuWLTRq1IjRo0fTtm1baeUSAle4BUJCQvjhhx+oWrUqNWrUYMWKFZJ+AQ4fPsyqVavYu3cvPXr0oFy5cty9e5fc3Fx69eqFvr4+pqamNG7cmND/sMqpA+izsrJISkpixIgR0jLy5s0bRowYgZ6eHlOnTiU3N5f169ejr69Pjx49pHtMgJ6bN2/SqFEjjI2Nsbe3lyC2ePHi/Pjjjzg4OFCuXDnq169PXl4e7u7ulChRghYtWvDu3TucnZ0pVaoUNWvWZOXKlZiamqKnp0f//v1Zvnw5U6ZM4c2bNxw9epSSJUuya9cuKTiDg4MJCgri559/xsDAgPnz50t3s4jBSUpKomnTphgaGnL//n0uX75M9erV0dPTY9WqVZw/f54ffviBevXq8fHjR1JTU2UfNmzYQFBQELVr18bExAQ7Oztu3LhBtWrVMDEx4cqVK3z69InRo0dTvnx5Hjx4QFBQEI0aNUJPT48LFy4ASFe3AOkmJiY0btwYT09P0tLS6NSpExqNhh9//JHGjRtTq1Yttm7dSkpKCj179kSj0TBz5kzWrl1Lw4YN0Wg0uLm58fnzZ5o3b46xsbEEQXv27KFkyZJ06tRJxgkJS0RWVhZnzpzB1NSURo0a4eHhIQNT1UHFXbt2RU9Pj549ezJu3DiKFSsmN1FCwe3evZvSpUuzZs0atFotjo6OFC9enP79+zNkyBBMTU05duwYHz9+pEqVKpQqVYqTJ0+iKArnzp3D2NgYY2Nj+vbtS5MmTXjy5AmKoshNgampKcHBwXz+/JkJEyagp6fH5cuXmThxIvr6+hQvXpxWrVrRuHFjZsyYQXJyMoMHD0aj0bB69WpycnJwd3enZMmSlC1bltjYWG7duoWhoSHt2rUjMDCQGzduULt2bUqUKIGHh0c+i4XQEYmJiVIhz549m5IlS2JraysBUd26dfnuu+84e/Yst2/fpnbt2pQtW5YbN26gKAomJiYYGBhgbm7O2bNnadasGbVr1+bx48dERUVJq+fOnTs5e/YsP/zwAyYmJly9elVaRU1MTDh27BgAW7duRV9fn+rVq/P69Wvq1q1L69at8fPzIycnh+joaKKjo8nLy2Pw4MEUK1aMgQMHEhERwcWLF9HX16datWr8+eef2NnZUaZMGRo1aoSvry+5ubns3LkTjUbDnDlziImJ4ZdffqFUqVL07t2b2NhYgHwgR22ZLiimRxfAqA875OXlERUVhYmJiSxDof5dHTv0bwd6RACvonyxVCxfvhwgX56SfwT0nDp1isqVKxMQECDNsSKo8ezZs7Rp04aAgABiY2Pp2bMnrVq1Ii8vj3379rFz506cnZ0pX748Y8eOpU+fPpw6dYpmzZoxfvx4YmJiqFGjBv369ZPBjHl5efTt25cffvgBRVGwsLCQvt7U1FQAmjdvTsOGDRk3bhw1atTAzc1NnsIQNYsOHTrE0KFDcXJyIj09HSMjI6ZNmybHePLkSTZs2ICiKCxevBiNRiMtPXPmzMHY2JhRo0axYcMGHB0dMTMzk/E2IoBx1apVlC9fnmnTpuHj48OwYcOwsrIiKiqKEydOULJkSTZv3oyiKBw9epSKFSsSFBSEoii4u7tjaGjI3r17UZQvLrfq1atTu3Zttm3bhp+fH82aNZPugwMHDmBgYED37t0ZOXIkBgYGDB8+XK5rZmYmvXv3ZsiQIQWeZklKSqJPnz40atSISZMmyfdmZWXh6enJwoULWbp0KWvWrKFVq1b88MMPxMfHk5iYSJ8+fahXrx6jR49mx44dDB48mOLFi+c7VfP8+XNMTU05ffq0BFMzZ86kXr16MrBXnLYTcRYXLlxgy5Yt5ObmYmdnR8mSJXF3d0er/XJ8uEOHDlSpUoW+fftiaGjIwYMH850qUpQv+URatmyJqakpP/30E127dsXNzU0Gh7dq1Yrhw4eTkJCAo6Mj+vr6nDlzBkX54tLQaDRYWlpSq1YtVq9eLa0OIqBSUb4c323WrBn6+vrcuXMHgGrVqlGsWDH27dsnXXUajYapU6eSkZHBhw8fKFeuHLVr18bLywsjIyNq1qzJnTt3UBSFX3/9FY1Gw/Tp01m7di0lSpRg4MCBADg5OaHRaJg3bx55eXmsWrUKjUaDlZUVNjY20uIk3AkCSP/2229oNBoOHjyYL3DS19eXEiVKYGhoKFNZiJMpQsEaGhpSrlw5Hjx4QMeOHdFoNFStWhVnZ2csLS3RaDRYWFiQlZXFvXv3MDAwoFmzZnh5eXHx4kUMDAzo1q0bXl5eHD9+nJIlS9K8eXOysrIIDw+nRIkSMi7h0KFDlCpVinr16smNhru7u6SNFStWoNFoGDZsGOnp6fj6+lKvXj1pbejbty8ajYZFixbx/v17ypcvT6NGjfD09GTdunUYGhpSqVIlPn36REBAAHp6etSsWZNbt26h1WqxsrJCo9Fga2tLWloaK1euRF9fH3t7ey5evCjHP3nyZOlGU5/UCgwMpEmTJmg0GoyNjaX749atWxKUa7Va3Nzc0Gg00mUl3uvs7My6devQaDSMGjUKJycnDAwMqFixIiEhIXKTIyxprVq1QqPRMHv2bHJycrh+/bpsV/BegwYNaNGiBVFRUbRo0QJ9fX3mzJnD5MmT0Wg0LFiwgNDQUGlBvHTpElqtllGjRkn3cFZWlpSF06ZN49WrV7Rr1w6NRkO7du1kFXb1KTgRk5OYmIhWq6V3796UKVNG0qS7uzsGBgYMGDCA58+f06VLF/T19fnpp5+IjIxEUb5YUQcOHEjv3r3p1KkT+vr6jBo1ioyMDHbu3EmFChVo0KAB79+/58yZM+jp6VG3bl3i4uI4ffo0enp6NGvWjLdv3wLQvn17CUo+fPggaVd4Q0QQc3JyMt999x3Fixfn9u3bpKenM23aNMmX2dnZDB8+HD09PVauXCkD3lu1akXZsmXZunUr69evp2zZsvksYYK/BDBUF3ItDPSo3VVCDwqXqr+/P8bGxkRHR+c7qCNOk/3bgR61/08NelasWCEV9LcGMqvdW3fv3kVPT4/p06dz/fp13NzcOHDgAMnJyXTt2pXGjRvz+vVrvLy8+Omnn6hfvz6pqans2LGDjRs3kpGRgYWFBXp6evTu3ZukpCQqV67M6NGjycvLw8LCgooVK3L37l3pq//pp5+YPHkyGRkZTJgwgUmTJpGRkUFqaiovX77EzMyMGTNmSJfBxIkTcXV1lf70sLAwevbsSadOnYiOjsbLywtDQ0M6d+7Mx48fef/+Pfv27cPOzg6tVsvPP/+MRqPB39+frKwsBgwYIBk/PT0dFxcXTE1NuX79ujzdIMzcHTp0oHHjxvzxxx9yngIDA1mxYgUlS5Zk+vTpZGVlsXfvXoyNjXn9+jUZGRncunULAwMDduzYgaIovHjxgjJlyjBkyBDi4uL48OEDdevWlcGDu3fvlu4Dd3d3WrVqRaNGjaRlxNPTEzMzM1atWiUFkwA84vOxY8fQ09Ojc+fOhP7HCRBhto+LiyMuLo6kpCRGjhxJtWrViIyMJDIykhEjRlCuXDk2btxIamoqs2bNonjx4hJsKYrC8+fPqVevHkePHgW+xJJduHCB7777DktLS5ydnTl58iQHDhzg5cuXeHt7s2TJEnbs2CFBT4kSJbh37x6fP3/m/PnzMv7k2LFjUsnrHo9OTEykY8eOdO/enePHj1O1alUmTZpEWloaDx48QF9fn2HDhhEQEMDGjRvlLjcrKwsLCws0Gg2urq4MHz6ccuXKSWuS2oW2f/9+jI2N6dChAxEREbx9+5ZixYpJ92R8fDwjR46UlpH09HRsbW0pVaoUDg4OxMfHU61aNWrUqEFgYCB+fn6YmZnRq1cvnj9/zt69e9HX12fChAmkpaUxbNgwSpQogZOTE9nZ2fzyyy+UKFGCa9euyZ14yZIlOXbsGI8fP5YB6mJ8PXv2lCfVPD09cXNzo1SpUhgYGDBs2DDu37/PzZs3pct6+fLl6OvrU7p0aX799Vdq1aqFRqPBzMyMmzdvMnDgQDQaDVu2bCEnJ4dJkyZRtmxZeRhBKPAlS5agKIqMqTAzMyMrKwsfHx80Gg3dunUjMTGROXPmoNFoGDRoEPv372fXrl1YW1sDEBMTI/nP0tISgEePHlGtWjUqV67M69evad26NYaGhhw7dow///wTjUbDrFmzAFi3bh3FihWjSZMmfPr0CV9fX4oXL873338vXfJNmjShVatWeHl5oSgKZmZm6OnpMW/ePDp37izdGSKrvTr9QFRUlHTHdOjQASsrKwwNDalXrx4uLi4ygDU5OZmdO3eip6eHpaUlGRkZ9OzZk0qVKuHu7o61tTUlSpRgy5YtEgA3aNAARVEIDAykU6dOfPfddzx8+JDt27dTpkwZqlatysuXL6Vr3MbGhk+fPjFz5ky+++47GR8oLF3v3r2TcmP+/Pm8f/+ecuXK0bBhQwICAnj48CEmJiZ07doVLy8vEhIS6Ny5M/r6+nTv3p3FixdTuXJlNBoNU6ZMkakhcnNzpUt75syZ7N27l7S0NLy9valVqxZmZmYEBQWRk5MjgXiXLl2YPXs2enp66OvrM2LECJkDKTMzE3d3dw4dOpTPlZWdnS3dqAsWLCAtLQ0HBwc0Gg3NmzdHURQOHz4sAWBkZCT379/HyMiIZs2a8f79e969e4dGo6Fz587cu3dPntTKysrCyckJQ0NDunXrRmZmJn5+ftSsWZOffvqJ169f4+PjI8G28Ao8ffoUPT09ypYty6RJk+jWrRsGBgZoNBqOHz8ugeDZs2eJiYmRcYHixFxBgczir9rFJWS3onwJfejYsaM8+atOZ/BvHdOjNsf/+uuv7Ny5E8jv3vqWQGaxkw4KCqJt27YYGRnRtm1bRo8ezdixY4mPj6dHjx5UqFCB6dOns3TpUsqXL8/333/Ps2fPmDBhAhs3biQ7OxtnZ2e6dOnC5cuXef/+PcWLF2fevHkoisL169cxNTXl119/5fDhwxw7doz58+fz8uVLYmNj6dGjBw0bNuT48eMcOXKEqVOnsnTpUl6/fk1ERARmZmZUqlSJ/v37s3DhQnm8slOnTtSpU4ft27ezY8cOypcvT8WKFZk/fz7m5uYsX74cDw8P0tLSGDBgAEZGRjx58oQ3b97QuHFjGjRoIIOOT506RalSpbhz5w5RUVFERUXJU1zNmzdn9OjRXL58mcqVK9OqVStmz55N165dKVeuHF27diUwMJDhw4dTsWJFFi9ezKlTp5g/f77crWZlZbFq1SpMTEykydfFxYVq1aqxdu1akpOTpVXiwIEDZGRksGXLFipVqsSqVau4cuUKs2fP5ueff8bT05P09PR8+VYEs7m4uGBoaChP86jzUgjaSEhI4KeffqJRo0Z8/PgRZ2dnzMzMGDVqFB8+fMDHx4cOHTpQtWpV+WxGRgY7duygatWqnDhxgry8PHmEu3v37pQpU4ZmzZrRunVrrKysOHToEKNHj6ZTp07cvXsXRVGYMWMGhoaGBAQEcOfOHXr16oWNjQ2RkZFcvnwZY2Njtm3bJoWCUEI+Pj7UqlWLQYMGkZyczOjRo6lZsyYeHh6cPn2asmXL0qBBA5YsWUKfPn0wMjLCwsICd3d3hg4dirGxMe/evePMmTNUqFBBxpqJwPvs7GzmzJlDxYoVOXToEBkZGRw7dky2+/79exknUblyZY4fP86+ffto1aoVixcv5vPnz3IehLIR1rJHjx6RmZnJgwcPqF69Ora2tly/fh0jIyNq1KiBl5cXr1+/pmXLlsybN4/4+Hji4uKoX78+ZcqUoWXLlsyYMYNTp06RmZnJkydPaNq0KWXLlqVfv37s3r1bbgJELEm5cuUYPHgw06dP5/Tp02RnZzN37lyMjY2pX78+Dg4OLFy4kEqVKtGvXz/CwsKwsbHB2NiYCxcuEBISwujRo1mzZg2xsbHExMTw888/U6dOHemqOnv2LFWqVGHixIlkZWURFBREpUqVaNq0KS9evMDCwgJjY2OmTJlC165dqV27NrNmzUJRFCIiIujYsSOVK1dmx44daLVfUgPUr1+fkSNH4urqipGREcOGDePDhw9s2rSJWrVq4ezsjKIoLFiwACMjI7p16yYTZP7yyy907dqVN2/esH79epo1a8aVK1dkvqNmzZpRqVIlFi5cyNq1a6UL98SJEyiKInNiZWdns3LlSooXL06bNm24ffs29+7do3z58vTp0wd/f3/y8vJwcXFhyZIl1K9fn27duuHh4UFiYiLjxo1jzJgxnD59mobGjjLyAAAgAElEQVQNGzJjxgyioqLo3r07VapUwc7ODkVRuHnzJhUqVMDa2pqkpCQ+fvzIpEmTqFixIv+HvSuPqvJK8sYsnU7PdE+mJ92ddKdzMj3JJJPudCZnks6imc5mbGNH4wJi0AQVjcqO7ILIakDZVRQVEFBcorgSBNxYlO0hm7I8Ntl3HrsI32/+cOpa7/OxJK3B5fOcOvLe+5Z7q+pW/W7dunWjo6ORkZGBd999F/Hx8fj222/FZIeK1xkZGWHKlCnYs2cP3n//fbz99ts4ceIENBoNZs+eDX19fajVamzZsgVLlizB8ePHAQBqtRrPPfccnn32WRgbG2Pv3r0in5HsDkUVioqK8PLLL+Ott95CcnIyJEnCxo0b8ctf/hKurq6orq5Gd3c3XnvtNfz2t7/F7Nmz4eTkhNdffx1PP/00tmzZIurtkLNvamrCO++8g6effhoRERGoqanBG2+8gT/84Q84e/Ys+vv7sXz5cjz99NMigp6WloYXXngBCxYsQGZmJpYsWYJPP/1U7IqtqqrCCy+8gKeeegqffPKJ1s7SOXPm4Pe//z0SExMxODiILVu24N///d8FeDxw4AB++9vf4t1330VKSopY2nriiSfwu9/9Dk5OTvjmm2/w1FNP4a233kJBQQEkScKpU6cwbdo0EcWkqPFIoIeAC0Xm6XtKTzh48CBMTU3FJIxkQNc/UKCHd5bQHw2uqKgoADeXt37o7i3atqyvr4/nn38es2bNwvHjx8VMnrZmR0dHY82aNVi4cCESEhLw+eef49tvv4Uk3diJkJycjOHhG9sRP/roI5HA2trais2bN8PW1hb+/v6IjY1FeXk5JElCZWUlXnrpJUydOhWbNm2Ck5MTAgICUFFRIdDwwYMHYW1tDVNTU0RHR4tlroCAALz66qtYv349zpw5A09PT6xevRpr166FkZERjh07hr6+PvT09GDLli0wNzfH5cuXUVxcDGNjY0RERAh+HT16FDNmzEB+fj6am5tRV1eHoKAgGBoawsjICGfOnEFtbS18fHywfPlybNq0CVu3bsWqVavg5+eHyspKzJo1C3Z2drCzs4O/vz8sLCzw2muv4c0330RRURE8PT1hZmYmDFdWVhbWrl2Lc+fOQaPRwMvLC1OnTkV8fLzI1dDT08OsWbOwY8cObN++HefPn8fAwM1qszRboHD7d999hz/96U9oa2sTxxjQlmwKk7a2tsLMzAzu7u5oa2vDoUOH8NVXXyExMRHDwzd2b9na2sLMzEwkznd3dyMmJgZGRkY4cuQIurq6RD/2798Pa2trLF68GN7e3sjIyEB8fDyWLFmC3bt3o7W1FZIkwdfXF/PmzRN1gFxcXFBbW4uhoSGkpqbCwsICaWlpAuBTn2jnDOU+HT9+HNbW1khJSUFJSQlsbW2xcuVK+Pv7Y9euXTA3N0dsbCxyc3OxYcMGODk5ob29HXV1dfD29oafn59WaLmrqwt79+5FcHCwqEFz7tw5WFlZYe/evejq6sKiRYvErq2UlBS4ublh06ZNaGtrE7WDjhw5goCAANTU1ODUqVPIzMwU4LC1tRXbt29HXl4eli5dismTJ+PTTz9FT08PUlJSEBAQIOq6dHR0ICIiAmvWrMHSpUtFyQSqyXTgwAEsWbIEenp6OHjwoCgiGhYWBiMjI8yePRt2dnbYt28fGhsbMTQ0hMOHD8PBwQExMTEiZy8kJETslrt06RKcnJxQVFSEmpoanD59Gl1dXQBuRGbs7e2xceNGsestOztbJGBTH729vWFpaYnS0lIcPHgQdnZ2+O677xASEgJra2tRY6u7uxubN2+Gv78/1Go1+vv70d7eDldXVxw5cgQXLlyApaUlMjIyMDQ0hDNnzmDHjh1iqSQ5ORmmpqbYu3evAMYqlQqHDx9GVVUVDh48iOjoaDG2r1+/js2bNyMgIAAFBQXo6enBzp074eDggPLycqELtL3c09MTc+bMETawsrISXl5e2LVrlwAFSUlJWLVqFSwtLXHy5ElRH4nq9iQmJsLOzg7l5eW4du0adu7cKXZ3UWmDoKAg5OTkCKeWm5sr6jV1dnbiu+++Q2trKxISEhAcHCxyLoeGhpCVlYXExEQcO3YM69evR0JCgqiPk5KSghMnTohlKbVaLfLfmpqaYG9vD19fX6jVagwNDWHXrl1Yv349mpqaxESqr69P2LujR48KR33w4MFbjkzZunUrtm/fjvT0dDQ0NODIkSPYtm0bGhsbMTx8s4AolWGg0ictLS2ora2Fr6+vSFEYGBjAjh074OXlhdbWVlHbKSYmBrGxsSgoKMDOnTtx4cIFYfs0Gg2io6NhZmYGGxsbBAQEiKM1wsPDsWvXLnHtiRMnEBkZidbWVly/fh15eXkICQnBqVOnRNHHpKQkWFhYYMeOHSgvL0dNTQ1CQkLw3XffieWmS5cuifHP6yLxHEgeuCBfS7aavie+hoSEwNnZWQQweHRopPo/9z3o4SixoaEB+vr6YtcDr8YpX+bStew1UlJVXl4eIiMjxUAkAVG0hIpkZWVloba2FomJiSJZjEDZ8PCN+hMpKSmoqKgQz+/q6kJ5eTnKy8tF6XpJklBWVoYpU6YgNDQUVVVVougdRRdou2dDQwPq6urE4BkeHhZ1T6jAYGdnJ6qrq9HQ0IDy8nIBDoaHh9HS0oLq6mqxllpeXi4KW0mShPr6ely4cEGcctvf34/Tp0/j/PnzKCsrE/UYurq6UFlZKY51KCkpEQDk3LlzaGhoQEVFhSh+Rcne+fn5WgUbCYy0trYK+bW2tiIpKQlXr14VRR5VKhVOnz4t2k7J3mScqBhbfn4+CgoK4O7ujsjISGGE5VVQKbJRUVEhHHxraytKS0tFaLu7u1sUWuSF1bq6ulBaWorS0lJxVALxpL6+XhR5u3btmpAB3Ts4OCiKu1FeVltbm1b0sq6uTqxl8x0OpE9UtK6npwe1tbVoamoSulFeXi4MUE1NjXAA9fX1IhcBuLGVv6GhQbyT+ku5DBQZo8JxBLpefPFFPProo/D09ERDQwOqqqq0quGSXnZ0dIixQ0uDvDp1Z2cnnn/+efzLv/wLNm/eLHKbyOB2dXWJ6Fp9fb2okUM6STy5fPky8vPzxX0EPIqLi5GTk4Pa2lrBR7q/ublZC+wRD0if2traxNijYzZo/NbW1or7+/r6RKVk4ll/f7+QA/WTX0/gi1cw5hXVr127hqtXr6Krq0vUIuJ85JWKe3t7RW0w4jGPhFNuGfWlt7cX7e3tWvxraWkR+sMjEcSHnJwcoQsERNvb28XzaQNAfX291jEc1Obe3l4h156eHq3jEIgnPB+P+sg/U7ST+Euy4zsP+/v7xZijtvEJMv1NzxseHkZzczM6OjpE7ktLS4tWkVX6nkcvyH7Q2CEHznML+XI7d/L8aIne3l6o1WpUVVUJ3ra3t2sV1uzp6UFTU5NoO/GM/iefIK+mXFZWhoaGhlvGCz/ShbeP2kb6SPzu6+tDTU2Nlkzk8uX1vei58h1c5GvJj9Nnkh/pLwCEh4fDzc1NK4eH3scxwAMBejhAIQPV0dEBQ0NDbNu2DQBE/gm/drxEikYDgysH5YPwsuEkVI5AucGhyBEBAa7wpLCkMJJ0I0/kzTffxJ49e8RzSJHoOl4anCsaj3CQISFQIEmScHxcQWmQUt8IgHDDw40jPy6D55mQsaF7eCSFH1cgSTfC+fyMKlJknjwp/5sMDx/cvO10Pc365s6di3nz5mH58uWiD6QvugwqtZUvI/HkOjL4w8PDWucvcbmTYeTGjvjK5U6J8fQ7BzTEFzIA1EeaoZPT0mWcCMTR/7yMPzkAei4ZECpFT+3m7aT/5U4oMjISP/nJT/D8888jKSlJCxzRPXLjz88TovZfv34dZ86cwaRJk/CrX/0Kubm5YqbK+8WPYyF+851FXJZ8PHCAyY+b4DLiMiQe8mMc6P6Ojg4tp8LlzXeU8HbwI2No8sDbzWUsPyaBxirJkkg+7glEcGDMj5igNlOZB+IDTw6lMUrvoD4QL2j8EPjk7eHy4SRJktZ4oO/peZ2dnVrncVE/OF9JJmTPr127eTYfP8aD21VqF9d9OQDhesDHMY1Jkj3dT59pUsNtAcmJeEi+g/Ix+ZKx3LmTLecyIF5RW+THSXDfQvfRM6gd9DsVtOTghcuL7uM6Qe8hv0S8JjtBPoK/n/OU7CsfW7r8LP+eeEHXA8CZM2dEaQdu++h9pOsPFOghx0yKZWxsDHd3dwA3c3rIgRNj5aBJLgTOVLnyccfMZwo0UDnwkKPXjo4OrWgEGSaOiKl9Z86cwdSpU7F3715hdOSGXe5kOaqmtlGbaDBx503vo3v5gKZr+cyGOz3uJLlT5IaYnAA3rnwmywcLN/68XXQvVaElA8sHL5+l09+SJCE9PR2ffPIJ9PX1Rc0gOZiivnLgRm2gdvLvONjlzp2DJP58miHSe7ih4qCT+MlnijTI+bNpFktOkPRJDjZ4O+SgkIMobszlMiF+ycEWOYjQ0FBMmTIFzs7OKCkp0QKCkiRpHZ5K95DOcmdy/fp1nDhxAh999BH09fW1KutyA8z1Qd5PMth8gsBBOvGa1+6SjztqG0U2uOyJRzQOSAfpu+vXb+xc4WOETxaofaS3fAZPcuWOg9rEoyActBOY4LrHJxbyNnDAQW2XAzQOfjl/aKLEwQofcxzskHPlIJ5PRnjUhMuYA31eYJSAky6dlY8r/i6SBbeD9Dcn4hu9gztRDgLk98htO7djfBLHbbF8Ukrv4hMBHiEkfeTXE5Hs+KSCywWAlt/iy/5kv+V95ICC+M4TuDnA5EBQbjPkNp6POV3+l/rB7R314dKlS9DX10dHR4eWD+eg8YEDPTyaIUk3atvw3VvcYOkydDw0Jlcofj1XWh6i4+hdHiXgQIL+p0FL/eDP5++vra1FXFycOPeEOyZuLPk75Y6FeMNnpPx9w8PDtxhqHvqm+3gYl4wSBzP8/Vy5ueHiyky/cYfKjTAZIG5U5ACD+sX5TO8n3tC5RLT8I5/1cwPKByAHr3xGrcsA8ffT8+ROlF/PnTCXFdcLzic5KCeHTLrDdVsOerjT53znn0kfOODi44KcJem7JEnCYJaWliIpKUkkblLb5bM2DublOknva2hoQEpKClQqlZazpnZxXedjhd5J11Lf5O/WBbS4nOX6KXcsZJTpfi5XzmPedi5r3gcCPlzfeN94FInGAnf6dB1Prh1p/HPgSOOMy0jOA/nEiNrA9ZzbE+ofvZP0kfNdDp4JjMifQ3aG94EmhZxHHNRxwMb1iU8IOW85yOHykwMM4g+/n8tFPsZJT7iecnvGbQ49i4Ml+lsuIw5quM7psmc0FjjIkvsNLkPuN7lOUHslSRKgiU+2iPjEgMAd5w2fqMj1ml9L7eTglsZbbm4uFi5ciM7OTgHkuK3lY/uBAT1cuJIkYe7cuVqRHj6o6Vo+M+AM4wOVOx250SGB03ccBHAlJYGSEtLBg9yZcMDFDTI3mnwZhIMPUmgawHwmw9vN+8Idgi6jypWP2sGfS7MHbvz4LIgbJs4PMtD0bO6Url+/rrVmyw0KB07c2VBfuFGk36l93CDwpSU5eOFGRz5T5zMX7mS5sZDzWReQljs3rpPUHh6tk5Mc5MsNNHc+nF/c4JJBJCMmN/YckMgdFJd3V1eXFgCQTwh427hTkPdf7hzlYIXu58+Rg3yue7oMvXy8yUEpH9P8szxSJx+rcvDGdV0XyOMOiUda5ECbOyi5jeP8pvHK28AnC9zJ8zFM/eK6K+evLhvBdVmXvOT2QB4pk+uqPPJEukYRCbqWIpl8AiCPznAQzMESlzOPXPM2cnvEbZ5cr3n0hXSf908XkOe6JueDHJzJJz3cllF/aFLK2891k/OVP5fzhWTG9UW+SiC3TzyKJtdLSZIAQIu33D9y4suF3GdyfeHvliQJKpUKBgYGYlLFc+bkduCBAD3cyRJTrKysEBQUBEmShKOTC4wrBQcfXKA8ysAHA5+N0T20G4jWPblQ+DP4OicPtcudHj1/YGBAa4mAR1yo7aS4tHOLKyRvtxwwjTQ74mF7GiA0uOTf88HJjTUf7AQQqA18vZwPUG6cuQGTz8yHh29G1+ShfA6GqE+0BMYHHAdxJAdugOTGSNeg5w6Ot5fznWZKfHDK5cAdmHwJUVdkjusWjz7wpVzunLgey8P1cl2RO2duXPl31C6SGV/q5GOS85P3hX6XgzL+LO6wSYYcqHG9ozbJ/yadpTHKT2omvvF283bwJRZuI+j5NDngfSHnJDf+fCxwAM3lzG2OHNzKJwM8SjQwMHDLuKd+8CUvuR7qcky6nAnXa/l9HBTz9vHnycED10+yz2Qb+QSH6x+/l97JdZPeRfrDnT1NWghMcbsvt1Ny4E9t52BDDg44+OSTRf5MPi65LvFoPecxj87R93xZlADL4OCgWPaXT2w4wOJgmLeXPvPUCT4Z5BEnzg/iEwDRTvkkjS8302cObukZ/N3cV1Mbc3JyoKenJ/w7jTv+DOLbAwV6yIlKkgR3d3dRTImYzWcEfKbGDTh9z6/lsx+uzHzWR+8HcItD4UiazyjkaJkbF7kT5caeG3W5weWGiN5F/1M/dKFvuob3kRtt+p4iKoA2qufv5PdwWVECNYEeXYacAyxuPOQOnN5Dg4TewY2cHLRww8lBhxwA8lkDN6T0XGoHAC3DKnfivK08VE7P4PrGnZxcp7j+6ZIrfU/PIV5zo8uNidwxSZIk+kJEn3m/+Hu43nHHS22W94H/zXlEvOXjTe7EuAHmz+Wf+bM48OFGnHg+ki3gYEPXcinxjd7Hr5e3iUch5M6Ct01uU+i5xDMua7lt4uOfAwQ56ZoQkMxpzHAdkANh+TjkbeE6wUEA8YB0iV/Dn83BNNdbrtu6IiZyH8DHLgfXfHzIxxI9T2435HrG9Zciu3I+8Qk0gFvkx9vP+URgjPsJ7pO4TvH+8+s5oOJ+jNuX69evC5vNIzx8MifXEa6Pcn5xPebtkNtOfh1vH30mHskndsRDsgM5OTmi4Crxhl8jt4Xfh+450MMZyhHiqlWrEBQUhL6+PrEzgLZUDgwMoLGxEVeuXIFarUZdXR0qKirQ3t4unMO1a9dEJj7f8kg1PyiBjrYQ0hblzs5OLcdKM0u6t7Oz85Zn0n30PNqWS8+k6zUaDTo7O8UWQ0L3vb29qK2tFdd0dHSI55ESU/IZzaSo3TTj6OrqEkcutLe3izo2tJWVFJZ2IdBsg3ZG9PX1ob29XWz17OnpgUajQXd3t3gX1WOh63t6erR2lNBn6mNXV5e4p7m5WRzTUVdXJ84/ohluZ2enmJW3tLSgvr4eGo1GvJd29VHb+D3Ed5p905Zj6g/xgr6jNvOdI9RPklVnZyfq6uqgVqvR0tICtVqNy5cvo6ioCGq1Go2NjdBoNGhtbRXtJB7wKFhnZ6eodaPRaARP6d2dnZ1iK3Nvby80Gg36+2/UdaG2NTc3C14SES86OzvR1NSE2tpasY2ZvqfdRv39N7ZbNzU1CX7W19ejpaUF/f39ou8dHR1ifNH3xM/+/hs1dKhd1I7+/n6xJZiqkVNb+Q4i+pu28vP+kM60tbWhtbVV8JhkTbwhwN7S0oLK/z+bjuq0VFdXi1IBPT09UKvVYsMBtZ0n2NJ1vb29Qh+pDz09PWhra0NHR4foD41VPu6IlyRPupf61NjYKM4Nq62tFTLnfK2trRXlAcg+tLa2imvq6+vFwbP0bOIl2TpqJ+m23M709PSgrq4OJSUlKCkpEXKnsUMybG5uFvaHP6O7uxttbW24cuUKysrKtOwb8YN4xPWA60pHRwe6u7vR3NyM6upqXL16VfCReEm2kJ7Bxz29j2qMdXV1oa6uDs3NzVrjhvrL28HtRFdXF8rKylBYWIiioiKUlpYiNzcX1dXVWuO3vb1djG+yodzmaTQatLW1oa6uDm1tbcKmUhtIz7jMqJ38uCGyUaRDJPtr164JWdAz5LaD7FJHRwfq6upQWVmJoqIi1NXVCVtWU1OD5uZmwUuywyR3+o5sVGtrq5bNojFL45XGDbWF7ATZVvI9ra2taGtrQ2dnJ7q6uhAfH4+5c+dCo9EI8EkASw62HhjQwxFsX18fFi9ejE8//RReXl6wtLSEra0tzM3NERYWhk2bNmHlypVYvHgxFi9eDFNTUyxZsgTOzs7w9/eHj48PgoKCEBQUhNDQUFhbWyM0NBTbt2+Hm5sbHBwc8M033yAiIgIbN26Er68vAgIC4O7ujq1bt2L37t3Yu3cv9u/fj9DQUOzevRtRUVGIioqCo6Mj/Pz8EBkZibCwMPj7+4tn2trawsnJSZyOvnPnTuzatQt79uzBhg0bYGVlBUtLSzg7O4tzvVxcXBAQEAAzMzOsXbsW9vb2cHZ2hoWFBVxdXREaGorw8HDs3r0b+/fvh7+/P0JDQxEWFoaIiAjs3LkTO3bsQGhoKHx9feHo6Ahzc3OYmpoiODgYzs7OCAwMxJEjR8R5OVZWVti1axfc3Nzg6uqKvXv3Ijw8HA4ODjA3N4etrS1sbGxgY2MDJycn2NraYuPGjQgMDISbmxtsbW1hb28Pb29vhIeHw9PTE/b29vDx8UF4eDjWrFkDe3t7hISECPmZmJjA09MThw8fhouLC5YtWyYKqhHv6CBRR0dHrFy5EnZ2dvDw8ICdnR28vLywfv16REdHY9u2bXB2doalpSVCQkIQERGB4OBgIauIiAhs2LAB69atg729veCtk5MTnJycYGNjI4os2traiv66urpi69atWLNmDSwtLbF8+XIsW7YMHh4e4tBYAwMDLFq0CE5OTvD394eVlRXWrl2LnTt3IjIyEtu3b0dERIQ4rsLd3R1r1qyBq6sr1q5dK3hna2sLNzc32Nvbw9raGhs3boS/vz9sbGwQHByMHTt2CJ47ODjAwcEBdnZ2WnJxdHSEtbU1bGxssGrVKjg6OmLNmjVwdHSEhYUFLC0tsW7dOqxbtw5mZmZwc3PD1q1b4e3tDVNTU1hbW2P79u0IDw9HcHAwHBwcEBcXh/j4eAQEBMDb2xvBwcEI//9Dbzdt2gQvLy9s2rQJvr6+8PT0xI4dO+Du7o61a9fC398frq6u2LRpEyIjI7F3715ERkYiPDwckZGR2L17N7y8vGBhYQEHBwc4OzvD0dERDg4OsLe3h4ODA2xsbLBixQqsWLECNjY28Pb2ho2NDWxtbeHr64vk5GRs3rwZX331Fb788ksYGBjAyMgIy5Ytg7u7OzZv3owtW7ZgxYoV8PDwwLZt2+Dv7w8HBwcEBAQgLi4Ou3fvhpubmxh75ubmWLFiBby8vIQMXVxc4OTkBA8PDy393L17NyIjIxEUFCT0ycXFRciH6xXp/fLly7FixQq4u7vj22+/xaZNm+Ds7IyQkBCYm5uLpfzAwEA4OjrC1NRU6DI919bWFq6urggMDMTmzZsRHh6Offv2YefOnXB1dYWjoyNCQkKwceNGODo6wtnZGbt27RJnw1laWmLJkiUwNjaGj48P9uzZg5iYGMTExCAiIkLYHnd3dzg6OsLFxUX0xdfXFxs3boSJiQns7OwQExODyMhIrF+/HlFRUfD29hY21dnZGd7e3vDw8ICrq6uQu6OjIzZs2AB7e3usWrUKq1atQmBgIKKjo7F3716EhoYiNDQUQUFBcHBwgI+PD6KiohASEgJ7e3ts27YNmzdvhqOjIywtLbF+/XpYW1vD3t4eQUFB2LFjB7799lshaw8PD/j7+8PR0RGurq7YuXMnwsPDYWdnB2NjYyxevBiLFi2CkZER9PX14ejoiHXr1sHR0RFbtmxBUFAQNmzYAHNzczg4OCA8PByxsbHw8fGBg4ODsJ2mpqZYu3YtNmzYgJ07d2LPnj04ePAg4uPjsWfPHri6usLHxwd79+5FREQEoqOj4efnh5CQELi6usLFxQVr166Fg4OD0KNNmzYhIiICfn5+WmPEyckJzs7Own6RnXR1dcWaNWtgYmICY2Nj2NnZITw8HOHh4fj666/xzTffCL9hYWGBNWvWICgoCNHR0QgJCcGaNWvg4uICPz8/2Nvbi7Ho7++P4OBgeHh4wMfHB56enqId69evx7Zt2xAQEAA3Nzf4+vqK38j+29nZCVkaGRlh/vz5ol4YBRT4asgDA3p4GJdmLtevX8e2bdtgYmKC1atX46233sJ///d/480334SjoyP09PTw9ttvY8GCBZg/fz6MjY2FM9LX18eHH36Izz77DAYGBli9ejWmT58uBtqcOXPwt7/9DYaGhrC0tISVlRVcXFzg7e0NY2NjeHp64uuvv8b8+fNhZGQkAIK7uztcXV0xffp06OnpYdWqVViwYAGMjY1hY2MDCwsLzJs3D3//+9+xcuVKLFq0CF999RWMjY2FoX/nnXfw3nvvYebMmTAzM8PixYvx9ttvw9zcHAYGBjA2NsbChQuxbNkyzJo1C3PmzIGBgQHmz58PCwsLbNmyRRhRMzMzuLq6wtLSEpaWlvDy8oKvry++/PJLvPvuu5gyZQo8PT2xcOFCzJ49GzY2Nti0aRNWrFiBKVOmwMPDAwsXLsS0adPg4eGBlStXijNqnn/+eXz00UfQ09ODtbU1Pv74Y5iZmWHOnDmws7PD1KlT8cknn8DU1BReXl74/PPP8eqrr2LWrFmwt7fHzJkz8eWXX8Lb2xvLly/HV199hfnz50NfXx8ODg6YOXMmPvnkE1haWooKuwsWLICZmRmsrKzwxRdfYPHixTA2Noapqam4z8bGBqGhoTA3N8eHH36IDz74QMjv66+/xqpVq2Bubg5ra2usWrUKGzduhLGxMaZPn47PP/8cNjY2MDc3x/vvv4+pU6diwYIF+OCDD/Dee+/h448/xuzZs7F69Wr85S9/wVtvvYWPP/4YCxcuhJubm5DD559/jlmzZsHc3BweHh6YN28elixZIscJ0UgAACAASURBVBwNgStylGvWrIGFhQXWrl0La2trLF++HEuXLoWhoSFMTEywdOlSuLm5CV3U19eHk5MT3NzcYGZmhi+//BJ2dnawtrbGjBkzMHnyZPzXf/0XrK2t8cUXX0BfXx82NjZYtmwZlixZgg8//BCzZ8/GJ598gvfffx8zZ87EZ599hrlz58LT0xOhoaGwsbHB3LlzYWhoCAcHB6xbt04Y3j179mD37t1YsWIFlixZAlNTU9jY2MDMzAyOjo5wd3eHu7s7XFxcYGJigoCAAGFwAwICsHHjRgQEBCAwMBBbt24VjszDwwOBgYGws7ODoaEhLCws4OzsDCsrKyxfvhxff/01rK2tYWlpCV9fX1hYWOAvf/kLVq1ahYULF+L999+Hnp4eIiIiYG9vj7///e+YO3cu5s+fj/nz58PAwADLly/H6tWrBfB3cXGBs7MzjIyMMH36dCxduhQeHh5wcnKCmZkZnJ2d4eHhASMjIyxevBguLi4IDg6Gj48PnJ2d4evri8DAQFhbW0NfX1/8HhAQgL/+9a/43e9+BxMTE/j4+MDW1haLFi0SMtHT0xPA2M3NDYsXL4aJiQkOHDgAJycnzJgxAw4ODjAxMYGLiwuCgoLg5+eH1atX47PPPoOXlxe2bt0qQAQBP2tra6HjHh4ecHNzg5WVFWxsbLB161asW7dOTKyCgoKwfft2hISEiAmRlZUVvvnmG4SFhSEkJARbtmzBxo0bBVi1t7eHo6MjfH19MX/+fCxcuBCBgYEICwuDm5sb/Pz8cPToUURHR2PVqlVaY9zPzw8bN27E+vXrYWJiAjMzM4SEhCAwMBALFy6Er6+vqEpvY2ODLVu24JtvvoG9vT309PTw3HPP4eWXX4aNjY2YgDo6Oopn29jYYM2aNfD19YWfnx98fHzg7e2NgIAAMYHS19cX1cu3b98OMzMzmJubIyoqCvv27cOCBQuwdu1aARQsLS2xcuVKWFpa4qOPPsKMGTPg6ekJf39/rF27FvPnz8fy5cuxbds2hIWFwcLCAkuWLIGfn5/QZ1dXV2zZsgVhYWECNIaEhCA0NFSAme3bt2Pr1q3YsmUL3N3dERgYiI0bNwoAbGZmJibgZC+oj6tWrYKJiQnWrl0LMzMzzJ49G/PmzYOpqSmsrKwQEBAAPz8/rF27FjY2NvD09ERUVBTWrFkDPT092Nvbw9XVFba2tli4cCH09PRgbm4uJkArVqyAm5sbtm/fDg8PDwFavLy8YG9vj+XLl2P9+vVwdXWFlZUVzM3NYWZmhg0bNsDa2hoWFhbYunUrvLy8YG1tjTVr1sDb2xvOzs4wNjYW9oEqjPP6TXxp74EEPXydu6WlBVevXkVZWRni4+Nx5MgRnDx5Uhwyl5CQgMLCQhQUFKC8vByXL1+GSqXCuXPncOTIEZw4cQJJSUnIysrChQsXxEGeqampSE9PR2ZmJjIyMqBWq9HQ0CDC6pWVlThz5gxiY2Nx7NgxXLp0CZ2dnSguLkZRURHOnDmDs2fP4vz584iPj0dOTo5YOsjPz8fFixdRUFCA7OxsJCUlITExEcXFxSgtLcWpU6dEFeTc3FykpaXh2LFjKCoqQkFBAcrKylBQUIArV65ApVLh4sWLOHXqFOLi4pCWloba2lrk5+eL/ly5cgU5OTnIyclBdXU1WlpakJ+fj1OnTolq0llZWTh58iTOnj0LtVqN0tJSJCYmQq1WQ6VSITk5GQUFBdi7dy+ee+45vPnmmwgKCkJqairy8vLQ1NSE1NRUXLlyBQkJCaiqqkJSUhLS0tJQWloKtVqN8+fP49ChQ0hMTEReXh6ysrJQWlqKuro6rX6lpaUhLS0NCQkJSE9Ph0qlQkZGBrKzs5GXl4fc3FxkZ2cjOzsbpaWlqKqqQkVFBQoKCtDQ0ICamhq0tLQgNzcXiYmJOHv2rAhTZ2VlITMzE+np6cjOzhbb29VqteBXW1sbampqcPbsWSQlJSE/Px/nz5/H6dOnkZqaigsXLiAnJwcnTpxAfHw80tLSUFhYiKamJhQVFYk25uTkoLy8HPX19VCpVLhy5QoKCwtFW/Ly8qBSqVBYWIjq6mo0Njaio6MDjY2NqK6uRmVlJUpKSlBZWYny8nJoNBoUFxejuLgYBQUFqKyshFqtRnFxMdLT09HU1ITW1lbEx8fjn/7pn+Dq6orGxkYUFRWJ9lVUVKCkpATnz59HVlYW0tPTcfbsWaHvubm5Ypnv6tWryM7ORmFhIS5fvize2dHRIULlKpUKKpVK9FmlUqGiogItLS1i+bG0tBQtLS2oqqpCVVWVVqXxhoYGNDQ0oK2tDc3NzSgtLUV9fT1qampQUlKCpqYmdHd3i0riVVVVaGhoEJWNGxsbcfLkSZSUlIgxf+7cOVRUVCAvL0/oTH5+Pi5duiSOX8nOzkZxcTEaGxvR1NSEkpISZGRk4OzZs7hw4QJUKhVyc3NRUVGBrq4ucU1paam4p76+Hq2trSKfobW1FYWFhaiqqkJdXR2uXr0KLy8vTJkyBdnZ2RgeHkZjYyNKS0uFnSgsLIRGoxH84JW+r169itTUVLEs197eLpbIq6urkZOTg6tXr4pl4f7+fsHHkpISMcYKCgqgVqtRU1MjllgaGxvFEkZDQ4M4VmN4+EYVafqdZEgyobY2NTWJ2TjZIpqI0nIX2Wk6DLOgoADFxcUiz6+9vR1lZWUoLy9HY2OjOOePkvRpaYiekZGRgSNHjmDmzJl45plncOzYMS29uXz5Mpqbm3HlyhXU1dVp5ZrQ8got9Zw+fRo1NTXCidLSJUUSCgoKxHIp8bempgZlZWVITk5Gamoq6uvrxbEueXl5KCsrQ2dnJ1paWkS/6P20FDg8fGOHWmFhIdLS0nDlyhU0NTWhra1N6FVra6tYrqTclqGhG5tXeOX/4uJiFBYWilpJdXV1qK+vF0t6ubm5yM/PR0VFhajsTG1pamoSaRE0ftVqNWpra4WNys/PR2FhIZqbm9HY2IiKigoh876+PrS2topxrlarUVRUJKpct7S0oLGxEZWVlairq0NpaSmqq6tF9KaxsVEcr9HV1QW1Wg21Wi2WRekd3OfL8yAfKNDDOy4HQzwBjCdXyZP2vi/pShzk75NfM9oz5O0a6Xdd9+v6f6TrdH3W9Q5dfZEXVRwaGoJarYa9vT3+9re/4fDhw8Ig8V1Y8oQ8+Tvl8tHF0x8ql9FkMNLzdfHyh7RlPO8dSYd0fT8WydvOE1ePHj2Kp59+Grm5uVrJiePl8/dp33jHipx4ousPpdHG9mjy/j66N96+yPtD91dUVGDatGmIi4vD0NCQOMZGvhNlJH6M1obxyub78HM81+tKUtbVph/Sdl1jkfOop6cHWVlZWLp0KfT19ZGTk4Ph4WGthH7avEB/jyTrsfTl+/BptP7I+UW+a7yykT9Dnng/lj6P9Jyx5H67bdZY+kLEQY2uZzwwoEcXI7jykEDlO1bkuyk46bp+PM5gpPt1/cbboGtgya/V9Xmsfsjv0fUOeT/4PfSZb/umWQ6tqR48eBDe3t4wNDTE/v37RXInJRjLa86M1GZdfRupveOVi65nyfs4nntG4s9oMpGD3vE8fyz9+r7PoV0idI29vT1eeeUVkZg7lj7pksdobR6rnbqukRu8kQyarmvHMs5jjZ3x8Hw0nRvr/bps0dDQzWg0HQBJCeCU7DrWO8bL99Gcy2jP+KGkK/Ku69m6eDKWTEfjN20e6O/vR3FxMdatWwcPDw8cOXJEq+I1LY1IkqSzXVzOunRvJGcs15Gx+jGart8OmYzGu+/zjrFszGg8GUsHRhvP42nraAGPBwL0KHRnAeXw8M06RDRzamlpwebNm/E///M/CAoKQmZmJpqbm7Xq++jafjrR/XlQSJdhWblyJd5//31I0s3jBOjaiW7vg0LDwzd3m5w/fx7vv/8+8vPzAUCrqrskaW9VV+gm/7gtoV27tLtpYGAAbW1tOHjwIL7++mucPXsWJSUlYkcUr82l6L1CkqSAHoVkRIaXb0XOyMiAp6cnPv30U5iamort17Rdn7LpeZSBo3GF7jxxsDo8fCPMP2fOHDg4OAh58pD2RLf3QSHiN5WNWLhwIbZv3661XVleJ0Uhbf5xME+bV3gZkevXbxSpPX78OFxdXbF48WJkZWWJKJui9wpxUkDPfUi6woH8s/w3XSFoqtNz4MABsStr3759aGxsxMDAgKhFQTMqmoFxA6UYmR9X5hxwpqWl4Y033sClS5cEGOK/T3R7HxQiflP+TkpKCmbMmIHq6moMDQ1pJWkqcrmV5ICHItAEdHjFeEmS8N133+GVV16BgYEBampqtIqpjrSkwuXE/9Z1nUL3Pimg5z6ksQb2eNZ1e3p6EBYWhnnz5sHW1hYlJSVixkTr5lRQjwASr76pgJ4fX+Y8l8XU1BRGRkZazkIBPRMjF5INbb199913cfbsWQC4Jfl5ott7txEHPXxpi+wQFSjlRzxERkbCysoKHh4eiI2NFbulxsrDGosmmhcK3R5SQM99SLpAjCTdLC0vSZJIVpakm6Xu6Zpz586JwoN79uxBbW2tzmRsnrAsP/5BMRQTI/Pr16+jsrISf/jDH3D48GEt0MOvm+j2PijEl63oSIN169bB2tr6lnPJFLno5h8nnqOja/MF7TStra2Fp6cnPvnkE2zbtg1dXV1adouPF/4eSZK07JkCeu4/UkDPfUh8oJLDo509dD4LRWv42V0tLS2IjY3F9OnTMWPGDOTm5ory6PwQPDmoUWZHE08c4B44cABPPfWUVv0RxblOrFwkSRJRUZVKhRdeeAEFBQW3ONeJbu/dRuOJwJB+S9LN87YkSUJtbS22bt2KxYsXIzw8HO3t7eIanu9DoIkAEIEePoFT8q3uH1JAz31IcmPATxamujv8ZOOenh6cOnUK69evx7Rp07B69WqkpaWJkDyti9NJxt9ne+VE8+JBIZq1Dg0NwcrKCn/729+0lgXkUbqJbu+DQny8UB2rgYEBvPvuu3BzcxPXKONlZP6NtRxPvJWkG5FqKrZH9u/kyZNwdXVFWFgYKioqIEmSSCyniQI/gJhv5lBAz/1HCui5D4kPVPmpurQGTknHjY2N2LBhA9599118/fXXCAsLQ3V1tbiODMPw8LBYG5fn7eiK+tDfE82LB4V48vmrr76KyMhIIQMezVNAz49Lupzz8PAwYmNj8eabb/7Dhyc+CDRaRJn4yiNm8qKP165dQ0FBgTjHrqqqSuQHkR2k6/np9cqmjPuTFNBzHxIfrLwiKeUQUKSnpKQELi4ueOmllzB37lxRcp1OV+f5OmQ8uIFQjPTdQ+Q4s7Oz8dRTT+Hq1atCF+RRHkVuPx5x58wLd/b09OCll15CVlaWMp7+Qf7Kk53532TvBgcHkZGRIQ7YLSwsFMCHSnNwkMRBlAJ67i9SQM89TLpmQPLPPFrT29uL7u5uDA4OoqKiAqampvjjH/8Id3d35OfnY3BwEBqNBt3d3eId165dQ29vLyTphgPt7+8XfyuGYOJkLf+b8hg2btyI2bNnCzlRPpbcIUx0fx4U4k6Tjmqh3JFFixZh2bJlYmlSiZr+cP5yomV7Xk5jcHAQ3d3dKC0txcqVK2FnZyeKGJJcuGzkS1ty/iuyuXdJAT33KI0nn4Zml3xr58DAAM6fPw9ra2vMnz8f7u7uaGtrE7/REhjPA+H5P/K8nonmw4NCY8maQI+BgQECAwNFRI5kr8xaJ05ufJckLacMDQ3h+PHjeOaZZ5CXl3fLBoGRlnQmuj93G3H9l+8qJcBDy1XNzc24du0acnNz4eHhgW+++QZHjx5Fc3MzJElCb2+v2GGnq+bYaDTRfFBo/KSAnnuURht8PDRLoKe7uxv9/f0IDw/HF198AVNTU6SkpKClpUWAIx5m57sXJEnSCs0ru4AmVt7cGNPfFJ5/9dVXcfjwYUiSJIq4KTk9Eys37ozJAQ8ODqKzsxN//etf8eWXX4oDSHkirbJtenz8lfOY2y2Kdg8PD2vV9KmursbmzZsxbdo0eHt7o6GhQdhKSbo5dkgO/Hn0HqU0x71JCui5R0mXE5SvSdN69sDAAGpqahAcHIwPPvgAGzZswJUrVyBJNxNgdT2HO1W6hu5RBvvEyZtkQYCGDHprayt+85vfICsrC5IkjXg0iCK3H19u8kRmcqiRkZH4/e9/j+PHj4vfSWZ8IqLIbXT+yu3WSHZMkiSxg7W2thampqb44IMPEBgYqFWag6LdfEmSH0KrlIC4d0kBPfcoyQc1gRuenEffpaamwtnZGYaGhggNDUVHR4fOQl2jRY+UsO7Ey1u+K4/XXxoaGkJSUhL++Mc/grblUgSIHzSqyO3HJfk440cmSJKEmpoazJ49G/PnzxfRBQ52lG3To9NodouDH36wK53SLkkSKioqEBUVBXd3d0RGRqK2tlaAHho/lBvEx5wS8b53SQE99yjJw6y0A4Fq61BuTlxcHBYsWABnZ2ckJCSInJzxbDvX9R39zf9X6MchecieogV9fX0AAFtbW5iamkKj0Wgto+iK5E10Xx4U4qCH74Ck34aGhnDw4EG88sorSEtLgyRJQnYkPwX0jE5cn0cCPRT15PaSQCXtZA0MDBR2kp/zRaCHR3yUSM+9SwrouUeJD2x+UjMNyMbGRkRGRsLY2BheXl6oq6tDT08PJOnmkpZiTO8d0gVQeaJ5V1cX3njjDcTFxUGSJGg0GiFrLnPFSP/4cuNjjOeHUP5Ia2sr9PT0sGbNGq3oHD8iQcnF+v4kT2ymZWCK+PCoWm9vLxoaGuDu7o5Fixbh6NGj6OnpEVFzInlysyKXe48U0DOBpCuKIv88nuUm2p5J31+9ehWenp7w8PBAXFwcNBqNmK3w+hUK6Ll3SL60RbKmMHxaWhr+/Oc/4/Lly5Ckm9Ef+XZexUj/uCQHq5z/vb29GBwcBABER0fjhRdeQGpqqqjjQ7+R/Ce6L/caEa95gVY+QeT/U+HVpqYmREVFwcLCAtu2bUN7e7tWfiQ9lwApl8toUXGF7h5SQM8E0j+SS8ONKA3C69evIycnB0uXLoWnpydKSkrEoKfkPb4erSx33DvEQQ/P+aAaSuvXr4eJiQk6Ozu1dILvxOPPmej+PCg0UpSHR2UlSUJFRQX+8z//E6amprdEb5WIwj/Gew52OPAn0El2kSctx8fHY968efD09ERZWZnIAxoaulnvbLz2eqL5oJA2KaBnAmmk9Wf6TZKkW2aJ3GjydeXS0lJERERgyZIlmDZtGmpra8X9FOWhEC3PMVAG5r1BXEcoWZ0b7r///e+IiYnRygOhKBB3rorznBi5SZKktWRFgEaSbi6z+Pv7Y+7cuaiqqhJjXUlkvj28lyeHS5KklZxMn3kV56NHj2LWrFkwNDREeHg46uvrRZHDrq6uW3ZG8uVjxbbevaSAngkkPkD4kgWfjfAdAxzk0InNQ0NDyM/Ph5WVFaZPnw4vLy+kp6eLnSAUvuVbLRXQc++R3JCSAx0cHER1dTWmTZuG1NRUSJKklTSrGOGJJ/mkRe4gaVxXVVVBT08P+/fvhyRJWgVDFdDzw/ku13+ytfJrdF3/3XffYeHChfjkk0/g7OwswA5NNng9M5pkEFiVJGVZ8m4kBfRMIHFDqCvpjn7ngIciNv39/bh69SpiYmJgZ2eH1atXIyoqChqNRpwyzJ2e3OEpIdh7i7jj48tWAHDo0CHMnTsX5eXl4loeEVRkPbE0lmOl5eeBgQEsXboUtra2IrlW1/EUCv1jvB9LLnK7W1xcjO3bt+PFF1+Er68vmpqahH2lY37oWnkVaAX03H2kgJ4JJr7cIK8mykOzfAvl4OAgUlJSYGdnByMjIwQFBaGgoEBco9FobtmhNdLaM/090XxQaGw9of/5Tr3+/n6sWLECJiYm6OnpGXGpVJH1xNFIcuATHToT78CBA5gxYwYKCwsxODh4y3EIE92Xe43kvNcFHnWNDeI3bRDp7++Hu7s73n//fdjY2ODq1avo7e29JS9IV4mIieaBQtqkgJ4JJLmD4iXoaQmD522Qw8vMzMRHH30EQ0NDnDp1Cm1tbVphcn6yujLw7g+Sz0IpRK9SqfDSSy9h586dkCRJS4cUuruJy5QSZTUaDT766CNs2LAB169fF4cFK6BnYmRDqQHXrl1DS0sL9u7di3feeQceHh4iOseToPnymSKvu5MU0PMjkK7Zhvwz/56HViVJEjM+jUaD2NhYrFixAitXrkRKSoo4coJqfvDtmXx5a6J5oNA/rkMcwPb39wMA/P398eKLL+LKlSvC4CpA994geRkCqqPl7e2NadOmobq6+pblb13LM/T3RPfnfiI+wSAbS9GcAwcOwMLCAhs2bIBarb5lOYsDoJFIkdnEkQJ67jCNpvhyAiBmfQR4KGrT09MDf39/vPzyy7C1tUVTU5NY96d1ZUmSxPkxdK8Ceu4PIoPK80AGBwexYMECGBgYaBllJSpwb5A8T4vkV1FRgbfeeguJiYkAoAVkx3KkCt0ekkfhhodv1MSi5UaVSoVPP/0UX331FfLy8gRo5VWcx2v3J7qvDxopoOcO02jRHV07CoaHh8XAGhoaQktLC06cOIFvvvkGenp6cHBwQElJidjZwbdN8nwPvj1dcYD3Pula2rp69Spef/11BAUFQZIkcfyIIvN7g3TZAIrgLVq0CH5+fiMeI6I4zzsvG54yQBNPsrmDg4NISkqCgYEBvvrqK8TFxaGjo0OAI13H/PDnKnKbOFJAzx0mOciRn73Dt6NTXg85tY6ODuzcuRNTpkzBtGnTEB8fL6JAtHOA53Dwk9DlM42J5oNCt0+PaDtsQkIC3n77bahUKrGNVpH5vUPyJUsqfCdJEsLDw2+pt0X2g+5XDr28s7Lhk1Haki5JNzeWAEBRURHc3d0xY8YMxMTEoKmpSciJb0yhiL2uzSUT3dcHjRTQc4eJKzfN5Pj2RlqiosFBO3Dq6uoQHByMKVOmwMTEBAkJCaKIFl+2kq/3KzOJ+5O4gyTH5+PjAz09PXEMiVwvJrrNCo1O8pweSZLE9ufq6mo899xzYomL5+nR9fLK6hPdn/uJRrOn8lpLXV1dCA4OhqWlJezt7dHS0qKV28PtPqUiKHWzJo4U0HOHiQ8SMlY8WkPbHmkm0N/fj6amJgQHB2PWrFnw9PREfX29GDC6QqbcwclDqRPdf4XujB5JkgQLCwsYGRlBkm6c48QBsAJ67n7iEVpa0ubHTyxbtgyGhoZob2/XiuJS3oiu8a/Q7SNddpSPLbLbtKSVlpaGmTNnwt7eHqWlpcLG9/f3i8h7R0eHKGKogJ6JIQX03GHiuy/kB9dRfQ6K9Fy/fh3p6enYunUrNm7ciG+//VbU76CtkXw5S76zY6L7qtCdI3kEZ2BgAMuXL4elpSUk6dZ8HkUf7n7SNRmiI2MGBweRn5+PV155BXFxcZAkSStPRJ7Lp8j7xyMaixRdpaWvoaEhJCcn4/PPP4e1tTUuX74s5EpndXV2dmqlHiiA9ccnBfTcYeK7bXiCsiRJItIzMDCAnp4efPvtt1iwYAHc3d1RUVEhwtlkCHlinSRJt2yVnOi+KnTndYnknJeXhw8//BDR0dGQJO2zhfh1Ct29xMct1eQhwEOTHF9fXyxevBjNzc1albi5Pijj/8eXG98sQmCVonSpqamwt7eHlZUVTp06JSJBtHSp1F6aWFJAz20gXZn5/DdSbl5ZuaenR0R9EhISsGnTJhgYGMDW1hZFRUXCidH2R37GCz8pnTu6ieaDQrdXj+Q6xWf0W7ZswV/+8hfU1dUJXVGc4L1FXE6U60ETG7INLS0t+PDDDxEbG6vlbOleXdV/R/pfodsnN0mSxBZ2kldfX5+w65WVlfDx8YGxsTFOnjyJpqYmca38oNKR8jAVud0ZUkDPbSBdyqqL+vr60N3djWvXrqG7uxsVFRWIjo7GX//6V3z22WeIjo5GbW2tAEU8EY47NH4QobJ74/6hsfSHO0gzMzMsWbIEkiSJJVBd+V4K3b3EZSsvKsojAi4uLpg3b55wlvLJzmjOU9GFOye3/v5+AVR5ZWaqndbe3o6wsDAsXrwYNjY2yMnJEbmZunZwKXL7cUgBPbeBSEF5srHcoFGkhxxUTU0NTExM8L//+78wNzdHfHy8uI4fLiqfsfPlCxpk9P1E80Gh26NH3OBx40i6UF9fDwMDA0RGRkKSJOEceRE7JdJz95Mc0PLlq+HhYVHsrqioCM8++6zIEaHEZ0mStKK/8hwfBQDfWblxAMNLjvCKzG1tbdi+fbuo53PkyJFbcjPJR9D9ykT2zpICem4DcXDDtw5LkqR12jkNkqamJnh4eOA3v/kNPD090djYKJ7Dd2mMJ/ypGLb7h+QVerk+8AT43NxcvPPOOygtLYUk3Yj0UOhcAT33Do0VnSFHODAwgA8//BCOjo4iEkTRBLmzpAiRYhvuvNx0yZBPSCnPp6WlBZcuXYK1tTXeeOMN7Ny5U+t6LksexVPkdmdIAT23gbiyU1KbfBmK/i4uLoavry+WLVuG9evXo6mpSWsAjAVylBD2/Uvy3Tzc+JFDkyQJsbGxeO+990TiJM/7UhzdvUPjWZYi8BMZGYk//elPqKmpuaXeC3eUlFvCk50VXfhx5Ea/SZIk5NDf34+uri5cu3YNarUaNjY2eOeddxAVFYXa2loMDQ2J32nMK5GeO0sK6LkNxEEPr5LMEw67u7tx6dIlWFhYwMLCAqmpqejs7BwxqY2eO5ri6xpsCt27xMEvBz1XrlxBSUkJuru7odFosGLFCnh5eUGSJFHMUtchhxPdH4XGJ3Mue13j//r161Cr1fjggw8QEREBSbpZxJAvqXA7RMtfCuj58eQm/8yjPbTZQKPRIDAwENOmTYOtra3wF7x2mzJxubOkgJ7bQFzJKVzJl7hKS0sRHBwMLy8vuLm5ITc3VysqxJG9ougPa/hdygAAIABJREFULnHQQzrR2NiIpUuXYuHChfDx8YGvry/+/Oc/49ChQ9BoNOjs7NQKkSvLW/cPkT50dXWhr68P69atw+effw4A4kiEnp4erYNmCSgrx9BMrMwo0k/RWJKPRqNBT08PwsPD8dJLL2Hnzp2isKgS6flxSAE9jLiSjRW+1LUcRfk73d3dYl39+PHjMDQ0xNKlSxEXF4fm5maB/CVJUkCPQoI4eCbnVVlZieeeew6TJk3C008/jWeeeQb//M//DD09Paxfvx7Hjh2DRqMRuRzKKev3D5E+UDQvPj4ef/7zn1FcXIyqqiqcO3cOkZGRuHTpkrieV3aWJKVa849NfNJBk1oal0NDQ9BoNCIa5+vri6lTp8LV1RUajUZEbHUdLTLSCsD3WRlQ6AYpoIfReEAP/00X6KHKuK2trYiPj8dnn32Gjz/+GBkZGWIGT9vWefa/MkNXiC9PUKi7p6cHr776KiZNmoRHHnkEkydPxiOPPILHHnsMv/jFLzBnzhyUlpYCgHB4ivG7P0i+C6ulpQULFy7EokWLYG9vjw8++ACvvPIKdu3aJa7n2975Mya6Lw8K8WK0fBs7z8kjENvd3Q0fHx+8/PLL2LBhA9RqtbifruW+RilPcHtIAT2MRlpf1wVK+vr6UFZWdku9nGvXriE7OxsbNmyAjY0NNm3ahLS0tFuKE/LzcxTQoxDpHa/F09PTA0mS8N5772HSpEl49NFH8eijjwrQ89hjj2HlypWor6+/JSyuGL97n0gXuru7UVJSgri4OBgaGuKRRx7Br371Kzz22GOYPHkyIiMjAUArQijfwj7RfXlQiPsMnpfHfQTfdNDZ2YmwsDDMnTsX5ubmOHXqlNbEh57JZSn3F7om4RPNh7uZFNDDlJUrDTcaXHkpyz45ORlGRkZIS0sT9/b39yMjIwOWlpYwNDREYmKiCFuSUyIDxGdlClJXiOugJEniaBJJkmBra4uHH34YjzzyCB555BFMmjQJv/jFLzBz5kyoVKpbStsrenR/EOlCaWkpDA0N8frrr+PZZ5/F5MmTBeh9/PHHkZSUdAvokVdrnui+PCgkt+XyiQifNJP97+vrQ1JSEiwsLKCvr4/Dhw8LYMQn083NzVo+SJIkrb/57s2J5sPdTAroYcrKnQZFZCRJusWAdHR04IsvvsCjjz6KxYsXo76+Hg0NDfD394eBgQFCQ0ORmpqqhehHKhg2Us6QQg8e6ZolXrt2DefOncPPf/5zPPTQQ3j44YfxxBNPYOnSpUhLS0NPT4/IC1Nm9/cXkQzLy8vx2muvYdKkSXj44Yfx6KOP4vHHH8dDDz2EJ598Eunp6QAgAA/pknJEzY9PYy090fjkZypSpX61Wo3g4GDo6ekhODgYDQ0NYkPMiRMn4O3tjbKyMpE7SuNe14rBRPPhbiYF9DBl5Q6Dgx4+c5IkCe3t7Xjqqafwk5/8BP/6r/8KV1dXODk54dNPP4WjoyPa29sxNDQk1m55xU5ehVNXhEdR2AeXSA8I8EjSjRlhS0sLnn76aTz00EOYPHkyPvzwQ+Tn54u8Ab7EyiOJE90fhW6PPvT39yM6OhozZszAE088gcmTJ+Pxxx/H5MmT8etf/xoXLlwAAOH8AGhFGRRd+PHlxuWn6zP3MYODg+LYod7eXoSFhWH69OlwcnJCb28viouLMWXKFPzud79DSEgIhoeH0dvbK/wLJUpLkvahxArpJgX0/D/Jq+HyWbO8bHhMTAwef/xx/PSnP8WkSZPwm9/8Br/85S8REhKC5uZmsdQwMDCgdYigYoAUGo10AW9Kgvzggw/w8MMPY+rUqTh69KgAPDwipOSG3V/Eo869vb3IzMzE8uXL8fzzz4tIz3PPPQeVSgVJkgToUZbM717ioId8A6/VQ8UM9+/fD319ffj5+WHZsmV45JFH8Oijj2Lu3Lno6urSSo7mKxHK2B+bJhT0jAcRjzRw5dfq+m0818nDjjwqI0naS1uSJKGxsRGvvPIKfvrTn+LRRx/Fz372MxF2PnbsmEDhpIy0/CBf2hqtr+Pl00j9G+m7ka4Z6R1jRaNGe/dY7R+r/6P9/Y/o11h6IP9O1zVjtVHXs8fqB382GTOq8QEAUVFR+Oyzz3Dq1CmREM+jOxTt4Xo2WhvGktdIfR/v+NQ1Fkd71ljPHe2+0Xg7mu6OpgsjfR5PO8fT1/HoBxEVuBscHERFRQX8/f3x/PPPY9KkSXjnnXegVqshSZJWrZ6RltTHOw7G0v3RbM54+TiesTWe8TYa/8fL9/Ho1HjbP1ofeJ4oVc6m6tp9fX1akduwsDA888wzeOKJJ/Dwww/j8ccfx29/+1scPnwYkiQJPyM/x2usFIqxxt147eh4be1oY3A8bRnveBsvTTjo+SE0HkX7vs/XBXrkyjo0NIQTJ05g0qRJmDx5ssivoM/z5s1DYWGhVkEqed2eO0Hfx0iMRxHvVvq+Sv5D9ejH7o+cyBCS8+ru7kZ7ezuysrIwODiI7u5usZYvSZJwinJdHksPbnf/7/Tzb9d77nS7xvv88V5HsqbaO+3t7di6dStefPFFGBgYoKWlRcvpUR4IX/K4E/29G+j7gLWJbtfw8M2xyQvZksxIxrTUZW5ujsceewwPPfQQHnroIbGy8NVXX2nl8vCoD3/HP6Jz9xLd16BnpFoFt1OQ8mUuen5/fz+am5sxZ84cPPzww/jpT3+KJ598Ek8++SR+9rOf4ec//zn+4z/+A8nJyZAkSSgirdeSgxrpfXdigP2Qft8Jnv7QZ43k3P4R/bpXHAAtWw0NDYnig0QU3qaZYk9Pj9buwDvdz39kcnGndeZ2tumH2qjbxQO5LMmeADdqMkVERGDfvn231GeiKKD8KIrv06fxRoomgsbyHxMFer4Pb2ks82KEAwMDovp2dHQ0fv3rX2Py5MliAwMBoBdffBE5OTkYHh7WivrKz96baBpvW0by6+Pl7T0Femh2It/OPTx8c51TF/P4PXxGTMrET6slheAHgdJ1lP3Od7/w3Bs+4+7v70dycjJ+9atfYerUqXBwcEBAQAD8/PywYcMGbNq0Cbt370ZNTY0wONSm7u5urTZRLsbw8E3Ez0uQ8z5wZSaecCMn7zNf8qAD7/jzaZDJc0AocZY7Vz6I+D283fwekp18txtvP+epLvnxA1rpe7518/vsTqDr+NlEvH9yOdMWUrpXfuCnPHGYy4x/T8+l5xBveD+4rPizuR7L/+ey45V3SXakx7qWt+g9XO6kI1zP6Bouaz4G6FnUX84TzluuW3KZ8MkEbbcne8D1juRCMpBvz+Xv4brKa2HR83nUg79Lrgty3SS7weXJ9ZCPy+Hh4VsibvQ76ba8TAW1m3jBDw6V90P+XX9/P7q7u4XecJvDr+Vy4mcD8jbysSvf+kz6IAfWXFach9RXkhXvG+8P1235b5ynXFfkUXg+luROUH4NfU+6LM+HkT9/pEN85cCFZE7Xcvsgt3HcXg4ODooji/gBpZIkwdvbG88++yz+7d/+DU8++aSI8hAAcnBwgEajEfrJ7ZB8HPGVB7mdprHA8wO5HLmNkNsFuS+X20Tu4/g1nO/yMSUfe/K28Wd/30nwXQN6SFlGUkBucFtbW9Hc3HyL4nDFlDOVO1xaO+VGiBsl/n4uBBJebm4uAgICcOrUKbS1tQGAuI/+cWWR908OaMggc6fE2yF3fPJBRQaUX8OdCjeycqfH85Zo8PF2yw0wv4c7CgrJ0uDgBx/KjShXWLmjlQMPzne5kf4+oIc7Jjr+gxt6HpHj4IGWkOhdxBNdYIw7Sw6WqCqu3MjL+cOfzfvOjS2/loMn+d/cYPPz3/i9/Jm6gJbcuHDdof6QrOTGkOuG/N26ACEZZS5nDqKovTyaRW3gz+SykgMiDkblQIU/Qz5WqV/yQyC5zZDrJx0vw8cn1wc+uaD/uTPlDl9uD/j7dP3G676Q8+Qy5H2R21r+/9DQjWWXjo4OaDQaLafKx58c7NB44sCT+st1Q9dY4P3hNoOeSTpJSd0j8UYX6KHr+DZv+QRFl/7yKIyuyR3XV9I7Lm+5jeNt5+OUy4jaVVJSgh07diAkJAReXl6YM2cOpk6ditdeew0/+clP8PrrryM7O1uAUu7nOE+53nFfxe0/b6Pc//Hxw20yH4P0Drlv4JM08jHc9lEB1o6ODnR3d9/CM5IJn+xz2yCX910Perjh5d9RRyVJQl5eHvbv34+4uDhERUVh3bp1cHBwwKFDh5CdnY1Lly6hqKgIhYWFyM3NRW5uLrKzs5GWlobs7GyoVCqoVCqUlJSgqKgI58+fR2xsLI4fP46MjAxkZmbi8uXLUKvVKCsrQ25uLvLy8nD+/HmcOXMGOTk5SE9Ph0qlQn5+PvLz83Hu3DnU1dWhra0NtbW1qKurQ3NzM2pqalBWVob8/Hzk5uYiJycHFy9exNmzZ5GUlISLFy/i8uXLyMrKQnZ2NnJycnD8+HFERkYiMTERly9fRk1NDerr61FeXo7c3FxkZmYKysnJweXLl5GdnY2CggJkZGRg3759iI+PR1ZWFlJSUnDp0iWUl5ejvLwc+fn5yMnJQWZmJs6fP4/MzExcuHABOTk5yMrKgkqlwqlTpxAXF4eYmBjs3r0b+/fvx9mzZ6FSqVBQUIC8vDycOXMGe/bswcmTJ5GWlobk5GR89913yM/PR0pKCrZv346oqCgcO3YMu3btQkREBDIyMlBQUICysjKo1WpkZ2fj4sWLyMrKwsWLF5GRkYFLly6JtqSnp2P//v2Ijo7GyZMnkZycLGRTWVmJoqIiVFdXazmo8eoYDZrCwkLs3bsXUVFRSEtLQ0ZGBk6ePIkTJ04gKysLGRkZOHPmDI4dO4Zt27YhODgYp0+fRmJiIhISEpCWloacnBxkZGQgNTUVOTk5UKlUQs8yMjKQlpaGhIQExMXFISEhAdHR0di/fz8OHDiAAwcO4OLFi1CpVDhx4gROnjyJlJQUXLhwQehiZmYmzp07h4MHDyIyMhKxsbE4ePAg9u3bh2PHjiEvLw8lJSXIz8/H5cuXkZ6ejkOHDuHYsWNITk5GRkYGLly4gPj4eERGRmLnzp3Yt28fTp48idTUVKSnpyMlJQXnzp1DZmYm0tPTcfHiRVy8eBGZmZmCD1lZWcjJyRH6kZSUhAsXLiApKQmnT59GamoqMjIyoFKpxHPS0tJw4cIFZGVlISsrC5mZmTh79iyOHTuGmJgYREdHIzo6Gvv27cPBgwexf/9+xMTE4Pz586ivrxfGlYOprq4uFBcXIzExEQEBAbh48SLS0tJw5MgRJCYmIjk5GRcuXEBKSgrOnz8vZJWRkYGcnBxB+fn5SExMxL59+3Do0CEcOHAAMTExOHToEC5evIiUlBQkJibi9OnTyMrKwoULF4RcSW/T09OxZ88eHDx4ELGxsdizZw8OHTqEpKQknD9/HmfPnsWePXtw4MABJCUl4ciRI4iLi0NGRgays7OF/UhPT0d8fDzi4uJw/PhxHD9+HAkJCTh8+DCOHz+OkydPYs+ePThz5gxSUlKQnZ0tnnHlyhVcuXJFtIcoNTUVZ8+eRVpaGpKSkrB//34cOXIEx44dEzJNS0tDZmYmsrOzkZycjD179iA2Nhbx8fE4duwY9u3bh5iYGBw9ehSJiYkICQnB+vXrsWnTJsTGxgpdValUuHLlClJSUpCcnIz09HQkJCTg1KlTOHHiBKKjoxEfHy/kv2vXLhw4cADp6elizOTl5eHSpUu4ePEiTp8+jf/j7r3jsjrSv383xt2Y5KsmMcWYrEl2TXbVTWKqNWosKKggiAICCkhR1IgiRYli7wVFAQEBFRHssSuIKAh2UFCkiCjSe7MA5/384TOTw8mNSXa/v9c++f1xXnDf9zlnZq76mWuuuSYmJoa4uDiio6M5ffq05LOwnVFRUYSFhcnK9urdsdropi7Q8/jxYwoKCggPDyckJKSZnMfGxso2YmNjiYmJYf/+/VK2Ll68yLlz59i/fz9BQUFs27aNn376ifPnz3Pr1i1u3rzJpUuXOHnyJPHx8Rw5coSYmBhiY2NJSEiQdBN6HRQUxO7du4mIiODkyZNcu3aNq1evcv36dWJiYggODiY8PJzdu3dz6NAh7ty5Q1lZGZcuXZK/v/POO7zyyivY2tpK2bpz5470GadOnSIuLo4LFy5IuRB298KFCxw4cIDQ0FAOHjxIZGQk+/btIzY2luTkZLKysjh37hzHjx8nLi5OyrbQ66SkJGJiYjhw4AA7duxg165dbN++nYiICGJiYrhy5QqXLl3ixIkT7Ny5k9DQUHbt2iWvM2fOEB0dzcmTJzl27BibNm3Cy8uLZcuWcejQIWlbkpOTuXbtmpS53NxcCQq14OkPBXpEp4FmITAxuIULF/L555/z1Vdf0atXL7p168Ynn3zC4MGDMTU1ZcyYMZiamjJ27FgMDQ2xsrLCwcEBOzs7zMzMsLCwwNTUlCVLlvDDDz8wZMgQBg4cyPDhw7Gzs2PkyJHY2dkxdepUfvjhBwwNDeXZNkOHDsXKygpzc3MMDQ0xMTHB2NgYc3NzTp06RXp6OtHR0Rw7doy9e/eyefNm3N3dMTExwdDQEFtbW5ycnDA2Nmbw4MGYm5szc+ZMzMzMsLa2xtnZGWNjY/r27YupqSkzZ85kxYoVrFu3jgULFjBjxgzs7e2xtLRk3LhxODg4sHTpUsaNG4ednR1OTk6MHj2aCRMmYG9vj7GxMQ4ODsyZM4c5c+bg6OiIo6Mj1tbW6OvrY21tjZGREdbW1piYmDBu3Disra0ZO3Ys/fr1o2/fvvTr149Ro0YxevRoxo4di4mJCWPGjKF3796MGDECc3NzRo8ejYmJCfb29hgaGvLtt99iYGCAmZkZw4cPZ9iwYUyePJkpU6bg4eGBt7c3jo6OTJw4kYkTJ2JtbY2trS02NjYYGxtjbW2Nk5MTRkZGjBw5ElNTU3mvs7MzXl5emJub4+3t3WwZ5PdEErOzszE1NaVXr1706dOHMWPGYG5uzsiRIxk2bBgWFhaMHTsWIyMjxo0bh56eHn369MHU1JQJEyZgaGjI8OHDGT9+PDY2NlhaWjJ+/HjGjx/P1KlTmTZtGqampowaNQpDQ0PMzMywsbFhxIgRGBgYMHr0aPT19Zk5cyZubm4YGhpKPtrY2DB58mTs7e1xcHBg0qRJUraNjY0ZN24choaGWFtbs3HjRrZs2cK8efPYunUrrq6uDBw4kNGjRzNu3DjZNwMDAwYPHsywYcMYNWqU/M3e3p5JkyZhaWmJg4MD9vb2sl0HBwdsbGywsrLC1tYWFxcXbG1tMTc3x97eHmdnZ8zNzbG1tWXGjBm4urri7u6Oo6MjTk5OODo6MmnSJCZOnIiNjY38PGHCBMzNzRkzZgxGRkaYmppiaWmJubk5xsbGGBoasn79ehTlWU0iEe5XFIXExESsra0ZM2YMQ4YMYerUqUycOJGxY8cyfvx4zMzMcHJywtraGisrKwwNDdHT02Py5MlYWFhgYWGBubk5bm5uWFtbM2rUKEaNGsWIESP4/vvvGThwIFOmTMHOzk72x87OjokTJzJhwgTGjx+PtbU1lpaWWFtbM2HCBCwtLTEyMmLw4MF8//33mJqaSjoZGhpiZGSEmZkZAwYMYMSIEUybNg0rKyvs7e3x8vJi9uzZmJubY2JiwtixYxk7diwTJkzA2NgYExMTrK2tpfyYm5szY8YMKWNLly5lzZo1eHl5MWvWLHlNmTIFCwsLea+NjQ1z5szB0tISJycnZs+eLcckxiN0efLkyUyaNAkDAwP09PRk2yYmJujp6dG7d2/69u0r7YybmxtLliyR75kzZw4TJ07EwcGBiRMnSlswc+ZMOVYzMzMcHR2ZPXs2s2bNYvbs2fzwww9S9pydnZk+fbrUBQ8PD6ZMmYKNjQ0uLi5MmzaNkSNHYmlpqTOSrY3WqX2MiBJt2bKFvn37MmzYsGZ6q6+vz+jRoyXvraysMDIywtLSkilTpmBvb8/kyZOxtLTExMQEU1NTzMzMGDt2LF5eXnh4eGBjY4OZmRkuLi5SR5ycnJgxYwbOzs7Y29tLegl9NjU1xcLCAktLS/m/8BWGhobS54SGhlJSUiLHnZGRwYQJE+jTpw99+vTB29ub2bNns2LFCqZNm8bUqVOxsLCQdtbKygobGxvpF4VuCJ9iaWmJpaUlNjY2uLu7s379emmHpk+fLnXb1tZW0sLKygpTU1Npq4WvHT9+vPxrZGSEoaEhw4YNQ19fH319fYYOHSr1bOzYsdjb2zN69Gg+//xzevXqJekxduxYrKyscHZ2xs7ODlNTU+bPn4+iKM3OrfxDRnrUywzq8JgI0ZqZmdG5c2fMzMyYPn06CxYsYNmyZSxZsoTZs2dLYRw3bhxjx45l9uzZbN68meDgYObOnYu7uzszZsxg+/btLF++HHt7ezw8PFiwYAHr16/HxsZGCr+rqyumpqb88MMP+Pr64ujoyIIFC1i5cqVk5IQJE1izZg2pqakUFhZy+/ZtkpOT2bt3L/7+/ixatEgK0PLlywkMDGTp0qU4Ozvj7u7OsmXLmDNnDnPnzsXX15eNGzeyaNEi1q1bx+LFi1mxYgUrVqxg5cqVbNmyBT8/P5YuXYqbmxurV68mKioKFxcXPD09Wb9+Pf7+/mzfvh0/Pz+8vLyYP38+np6ezJkzh3nz5sl8IxcXF5YvX86sWbNYsmQJLi4uzJo1ix07drB9+3a8vLyYN28e8+bNY+7cuVhZWTF+/HgcHByYP38+bm5ueHt7s3LlSry8vPD29sbLy4uZM2eyaNEi/Pz82LZtG9u2bWPLli1s2rQJb29vvL29WbduHevXr2fdunUsW7aMlStXsm7dOn788UccHR1ZuXIlYWFhhIaGsn37doKCgggNDWXt2rXMmzcPLy8vhg4dSt++famoqPhdoEeE1k+dOsVLL73EzJkz8fLywt3dncWLF7N8+XLc3d3ld4sWLSI0NJSdO3fKfK3g4GBWrVqFvb09s2fPlmPx9PTE1dUVf39//Pz8cHNzY9q0aaxZs4adO3cSERFBQEAAgYGBhIWFsXHjRkJCQggJCWHDhg0EBgYSHByMn58fW7duxd/fny1bthAYGEh4eDhRUVFyNi4iJGLmGxYWxvnz59m3bx9z585l4cKFLFmyBB8fH5YsWcKiRYtke6GhoQQGBkoeBQQEsGrVKlatWoWfnx8BAQEEBQWxefNmVq1axcqVK1m/fj3bt28nPDyc8PBwGSELDAxkx44dREZGEhUVRUREBFu2bGHbtm2EhYXh6+vLmjVrWLt2LQEBAYSEhLBr1y45o9y9ezdRUVHs37+fffv2ERUVhZWVFUOGDJGgR1yKorBhwwa++eYbVq5cyc6dOwkLC5Pt+fn5sWXLFkJCQvD19cXPz4/ly5czd+5cKX/z5s3Dzc1NypR4fsOGDaxcuZIff/xR0iQgIECO3cfHh4ULFzJr1izWr1/P4sWLWbRoEYcOHWL//v3s3LmTVatW4e3tzYYNGwgODmbTpk3s2rWLHTt2sGnTJubMmYOXlxd+fn6yLyJSFBYWhp+fHyEhIfJvUFAQAQEBREREsHfvXrZt28aaNWsIDAyUPAwPD+fIkSMcPHhQRg/37NnDzp07Wb9+Pbt372bfvn0yUhEREUFQUBCRkZHS1qxcuZLg4GAOHjxISEiIjLoJmoqo3NGjRzl69Ci+vr7MmzdP8tTf35+wsDB8fHzYunUr+/fvJzw8nD179hAZGUlwcDAhISEyanT06FH27NlDaGgooaGhhISEEBwcjL+/P1u3biUiIoJ9+/bJcezevVtGEUJCQjhy5AinT59m27Zt9OnTB0VR5HJ6S0tlah8jZGn8+PGYmpoSEBDAvHnzZPuzZ89m3rx5hIWFyTaFvoSFhUn679u3j59++olDhw4RHh7OokWLCAgIYOvWraxbtw5/f3/27t3Ljh075DhEREfoeVRUFAcOHJD0CgkJYc6cOcyaNQs3NzeWLl3K1q1b2bVrl5T3CxcuUF1dLZd7RNTn1KlTMprn5+dHREQEq1atwt/fn5CQEAICAqQ92bJlC1u3bpW2JjIykkOHDnH06FEOHTrEvn37ZJRe8DAiIkJGY3ft2oWPj4/Us23bthEeHs7evXs5evQohw8fZv/+/WzcuFH6knXr1hEeHk5gYCBbt24lICCAZcuWsXHjRlasWMHmzZvZs2cPBw4cICgoiJCQECIiIvDx8WHOnDm4urrKSZ6ZmRlffvkliqJQWVnZDCf8oUCPeg1cvS6rns2LmVt6ejr37t0jLy+P0tJSKisrKSoqkktKt27dIjU1lYcPH8q1yfLycoqLiykoKKC2tpaysjLu379PUVER5eXl1NfXk5OTI5eDcnNzSUtLIz8/n/r6enJzc6moqKC+vp6MjAxu375NRkaGXHtUr/cWFxeTn59Pfn4+WVlZ5ObmSkGtrq4mLy+P/Px8SktLKSwspLCwkLq6OmpqaigsLKS6ulqO5969exQUFEjFrqmpoaioSGb1FxQUUFhYSFVVlTybSfShsLCQ3Nxc7t69S35+PjU1NdTV1VFUVCTfI/4WFxdLHohnS0pKKC0tJSsri1u3bkl6FxQUUFZWRl1dnfws+lteXk5NTY08XV4kVorfi4uLZa2i6upqqqqqqK+vp7S0lPv37zcr0CWAikhiy8/PJycnhwMHDtCtWzcKCwulMVMbNnUoW/29AD1Hjx7lm2++IT8/n5KSEoqLi2VfiouLKSsro7S0lPLycrlurT7eoba2Vo7l0aNH1NXVUV5eTmFhoVyOKSoqIi8vr1m+gXpdura2VkYyRH6KuEdRfk7o1eZXCJqok1DV9xUXF1NUVERJSQmPHz+moqKCioqKZnky6pnRkydPqKyspKysrFnxQ3HWV11dnXy/rtwYQR+Ru6HOHRLr7mL5QfBBncumvhobG9lxco95AAAgAElEQVS7dy+ff/65nPiIvAeAOXPm4OLiQk1NzS+SdNUbE4QNqa2tpbS0lPr6eioqKigvL6ekpKRZH+vr66mtraWqqoqysjLJ68ePH0vZFbtohL4IPa2trZX0qKyspLy8vFk+mzpvo6ioSOpgZWUlhYWFMjdR3NPY2Eh1dbXslzpHSiS2qr8T4xV8Uycri76p80kEHwRtKisrpX0V7xfPiDwetZyIdxQXF8vfKioqqK2tlTxR5wnqyvPSJnmr6aTWEXUuiFpWxP0FBQWMGTMGRVGayZs62vM80DNmzBjWrVsngYPIeyoqKqKoqOgX+W2VlZU0NDQA/CLPrKmpiaqqKmn3hE0QfRX9UufbtbSBRKRHlJSUUFFR8Yt8FXGfOsdPne8mePv48WPKysqora0FkH0QeqXmgfC3gqdquRR5mWr+qXVemzOkzkN6/Pgx5eXl0r8KvRDPlZWV8ejRI5mALWikzgutra2V/kj40OjoaHr06AHQzHb+IUGPWoCFMIgEvOrqavT19XF1dW2mUOpkJ20CnDphTHyvTeTTNUMQxFe/U50cqCu5UGswtO/UKrFgkNowPXnyhOrq6mbPaJMV1QIvDJvaYKgT2NQKon6HOtlQ64DUiqS+R52IqKaxrr6pk3jViq/mi+C5ljbqvBu141S3e/36df7+97/z8OFDAJ3r9rouYbROnTqFubm5VG51oq66n2onoytBT5t0KZRdgBbRrlZW1EnBanqJd4jftLsVBB8EWGppl4aWpuoIqvYeddtqo6XmheijdteHAAWiT2pZUhshNS3UBlUYOvXOjKioKHr37g0gv3/06BEATk5OLF68uFkyppoH2h04anCm3k2mdp5a26GmiZBTdcKmFuioeajWB8EbEX5X65daloRzFP3T7owRyZ1aHqvBgaCRGvyoc6LE/7W1tc0cl9rhitwIwR9he9VJo2rbJ2RcPTkRYFKMXbQjnhd80CW36s+iLbWsie+F48vJyWHs2LGybbVta8kJinGWlJRgaGjIrl27mkWKtDwSJSAEANT2Rz3xUOuKeFZcatqoZUGtN+qdYbpAo5rv6rGpgYTalqn5rvZzalkXoEfQW8iH+hnRnpp/6o0z6j6rdwVqC/CqbVtL/RETQbWfUfNGYIGEhAT69+8P0Eze/3CgR81ELfhRlGeH7BkYGLB9+/ZmjFYDEe2lZoquv1rmqQmtdYJqdKsLuaudivqdWlChZrq2H0IwtAqkdjxq56rtkxaMib6phUwNHtQ00u7aEclhYqzq+7SORZeSCVqojay6j2qwqgawaiVRgwY1T44fP07v3r0pLi5+LujRGgfhPMPCwjAwMODp06cSZKodjZZnwuHpmg1rZUQNNLVjUYNPMS6tAVAbObUsqempBZ1qI6blf0ugUv0OtTNT65zaGWkBgnom3BLftAZWC/K1zymKQkREBOPHj5cGTQBPACsrKwIDA5uBa/Xz6veqdUft5LWORE0f8Yxw6Lr4JN4j2tDSWHuPVp60eqPVVfVnrQ1UR8zUfdIl72p509JDl6xpx6t+RpdNFX0Qjkjohtq+asGZekKjjRAIe6qWG/EOtV0Vbefk5DSTE3W/xJi0TlC8PzY2lkmTJnHr1i0JetRgVat/6kstI1o50dp94ce0uqpr4qgGGuqImaCTdnKptnVasCbeoQYsWl3U6oe6f2J8WmCstTda+VfTRtckTKs3Wr3Q1Z5aPoQe7N27lwkTJgBIoK6W+z8c6BGdVhMPIDU1laFDh3Lw4EGAZkZBrSzPm+mr3/+f3KPrt+c53Od9p44KCAFs6X5djkX7+2+hQUtjE88KYVQ7Pl1CpW5LayjUyvFbeNIS/9UGXvRpx44djBgxgvLy8hZBj7YvwqApioKnp6fMGxGH9Ilntf3VzmZ0GQF121pjq+2L2qhoaftb5fe3yLCWBy319/fypaXP/877tP1VFIX9+/djZWUlnZlwpgC2tracOnVKGmQRrhdt69LBluRS3KMGp7omX7p4qut5dR/Ucq/+Xn3p4osuWqpt6vMAzn8iK7rkVRc91GBO6IoYp4gACH1VO0Shu6Igq9YuaGmgdcBq+glaZ2VlYW5uDqDzPEPtuES/hIzNnj2boqIi6UvUY9Ly/9+5fu+zLfFWPX617dDSTsszrbz/p/r57+jz/8Zz2vEoisKWLVtwdnb+44MerUESgxWzvKtXr9KvXz8OHToE0CzKoo0S/LcvtVNTGz9d41Xf//Tpz7ULdNFCl6D/HnD1W5RSK2RqgdIFVNX3q8emSwl/S/vaMajRvgA9gYGBTJw4kerq6hZBj7jUciLeZ2Njg76+PoqiyFwKbdviOZEDoJ51/RYQoQVCz+NZS87v915aYyj+qg25rr79p239J/dodWD//v1YWFgAyNmqAD1OTk6cP3++GWDU0litb4JnupyE+E5rMH+LLunSQ61e6KK1uh+6Il5anVEURcq3tj/Po60WjP5vODy1Dor/1XZXDYbUy7zqpTaRc6h+36/ZL/G/8C3CBmRmZjJq1CgJjsVvungmaCDk5fz580yfPp20tDRJX1124j+l2f/mpUu+tFEmrS61ROP/Df3/rX3+33qXWme9vb3x9PSUgLWlyN4fAvSoBVd8J5Ykzp8/z1dffcXRo0elQRQD/TXDpTU6WqPQ0r2/BgxaIvLzZtlq4yy+Uyubrpm/Lmemy5DrukfXeFoy0LocgnYWq4sOaqOva9xaQNuSQujqjzYkqigKW7duZenSpVI21GNS01QL3MTvEydORF9fH6DZMp54vzokL0CRNkT/7yitmpaif6K95wGTX5O5XzMyvwUE/7u/t+TUtf3T1VftPQDHjh3D1ta22cRG8HnKlCkkJCQASBlryQkIXmv1Rb0U0JLctaQbv2YTWtJT9bt0OaLngbLnPasLbD2P7r8GgH5NlrR90i55iui7GpAK/gk9UtdV0fJBV7taOjY0PMvLy8jIoFevXgDNlmOf9+zTp8+O7EhPT8fGxobz589LWRJRRfV7dMloS/z+tc/Po+mv6a0W+P3aJEqX3WmJly3J4a+N7bfaht8iV7/2vVYnli9fzpw5c6SN0I5Ry7dfu/7ry1tqgWts/Hn3VmJiIt26dSMyMhKg2ZphSw7jv3VphU67/im+F0qmVrimpqZms6aWjPDzBOr30kHbJ/E+dcKi2ohpHYt23V3dD21uy7/TH0EjsdTp6+tLQECANGLqsaqBsHa2Ke6xtbVl+PDhwM+hcfXMW80nEX1T54U8j+ZqQ6MLRGrpoqbbv6u0vyaDv9W4/Ld1RoAeGxsb4OdZnOC7k5MT8fHxzX5TOwIxDrW8KooiI0Zq3mhzJtT6pO1XS0D0edfzJidq/VGDbW3fdTmv54Ge/6/4omsSp9Y3bZ5kU9PPB2aKHY319fWUlJRw586dX5we3pJz1SWbjY3PKgjfuXOHjz/+uBno0aWT6meFvNy/fx8LCwvOnj0rHaeuHLz/F3SiJfDc0mc1nZ733ufJ/P9rl3oiqygKQUFBGBkZAchdwv8J3/7rdXq0Ai9Cl3fu3OHDDz9k7dq1zQT9eSE+rZHQtqOeYesSBrWC63JU6giCuF9X2+qkLfVnYdxE9rx4Vp38pnaIauZrDZDamYp+aMeuNrBqYKB+Vr2Eoz61V4xVZOlrnbnWcGjDjmo+6XLCupRSDRpE0iSAj48PW7Zs0Ql6tM+p+SScpShMBz9HetT3qe9vbPx554YWnLZEO/FZJCSK8aj5ruaROoFPDY7V9NXKTksOVev4tbIn2tCVTKmVF0E/7URE15j+U2Mq6P3TTz9hbW0tnZE60uPo6Mi5c+ckH3WBAzF2de6V4IOWXuoNDGp6i3erJyy6AId4lzqHpaWkXS3NRTvqTQjq59TvUtsTLS+1uqa+T9t/tdw+b/KilmHtveoxqekt2ha/1dXVkZSUxNSpU2XJDn9/fyIiIlAUpdmWbl2gR5cDE9/Ds0jPBx98ANBst6EuHonnhb148OAB5ubmUpaErGhlSUsbbV+192jprwuE6bLb2jZ02U0tf8Xzah3XJae6dFjtC9Qyoquvusaja2y67lHLky679XtsgxrchYSE0L17dwB5PJAaHP3hQI+akcLZKYpCXl4e77//PvPnzweQGfdqx6AmjlYJtIBIqyDPE+SWFErrxLXgS/1X7YR1GTTxvdihoX1ezVStw1L3VWvItOPWjkfbjlqAqqqqmvVX7RDUbah3dGmNsFaJtEZFa/C0Rk+tzGLGv3btWpYsWSI/P89gap19Y2OjrFIKyERm4bzEX0Eb8UxJSQlVVVVyzLoMmTqaoHa8auVXG1g17XSBGl0yrAXiLfFWfa8uvmtlWfs+9aWrnd/C138H9Bw/flwub4l+qkGPWJLQBXq0Bl/X8om2v+ot6LpAj1Y/dTlUtT6qAYZ4j9oxid8EvbUyo9ZbXX3QRW8tn9V91fJaSytdn3WB28bGxl+Aeq2OqZ3vo0ePuHDhAq+//jqLFy8mNzeXOXPmcPbsWWnXtUmoankQ/RU+RU1zeBbpef/99wGaHSCrzc1Rv1eAntzcXCZMmNAi6NHaj+fJuS6gpOteXX6jJdlsSV+14EcLsLXv1YJ/rW3Rfq9rLC3ZFvXY1TKr1iEtHVviy69d6vEI0PPll19K3uvSyT8E6FETUJ2AqAY9H374IQsXLpSDVYc11ZGfpqZnxaLu37/PuXPnuHfvniR0TU0N6enplJSUcOLECVJTU39hJMV7UlNTuXPnDk1Nz4pGnTlzhvT0dJqamkhLSyM2NlY6zYqKCuLj42WRv5qaGu7duyeLF4q2i4qKOH78ODk5OZJRNTU18pyU6Ohozp49Kx1scXExd+/e1QnqsrOzuXDhgiykdu7cOc6dO0d5eTmPHz8mNTWVrKwsKZCpqamkpKTQ1PSsiF1MTIw8w6S+vp7o6Ghu3bpFbW0tKSkpHD58mLS0NC5fvizbLygoIDExkYcPH0qBfPLkiSz8KO45e/YsiYmJci3/wYMH3Lx5UxZfe56T1KW4gscC9Njb28vCW9pndb23oeHn3SOrVq2SOz9qampkW9poW1PTswNUMzIy2LdvHxEREXI5TPRN/L116xYxMTFkZ2fT1NRETk4Op06dksCxrKxMVqmNjo6msLBQtnnlyhVOnDhBSkqKPJdH0LewsJDo6GguX75MSkoK58+f5/r1683aLiws5NatW9y9e1f2Ly0tTZ7jc+LECZKSknj06BGVlZWkpKRw8+ZN0tPTZSG22tpaUlNTKSgoaOb8SkpKyMrKknKckZHB5cuXJVi4cuUKqampLRr7/wT0qOsUATg7O8tEZi3oEbZCTIYqKys5e/Ys+/bto7i4uFn/xLhOnTrFli1bOHr0KGVlZZKegs7x8fFcu3aNzMxM0tPTSUxM5MGDB83e09DQwJkzZ7hy5Qp37twhOjqajIwMGhoapE7GxMRw/vx5rl27RlpaGoryLLp769YtYmNjqa6ulmekZWdn8/TpU0pLS4mJiSEzM5OGhmcRoRs3bsjz1srLy8nPz6e8vJzExEQuXbpEeno6qamp3Lx5k4SEBB4+fEh8fDxxcXHk5ubS1PQsaltcXExSUhJxcXFSr1NSUoiLi5M0yMzMJDY2lry8PMrLyzly5AjJyck0NDRQXFwsf1M7vJKSEjIyMigtLUVRFE6fPs1HH32Ep6cneXl5bNu2jePHj0uwoz1sU5ej04JaIScZGRl07dpV+gJ1uoMu56wFPZaWlsTFxUkALYCcuj0BoPLz8zl37hzJycm/KBMgnikuLpYHZWZnZ5OSktLMITc1NZGXl0daWhpxcXGykrD6N3FmpNDN8vJyqqurSUhIIDY2VtLr/PnzXLhwgbKyMs6dO0deXh537tzh+PHj3Lt3j/T0dEmP+vp6rl+/Tnx8fDN6l5WVyTO6xHlaNTU1cvxVVVWyeGtKSgrXr1+XduzGjRvNANfjx49JSUnh8uXL0t6fP39e+s66ujri4uJISEigvLxc8ub3gh6x6hMREcG4ceMAdNYD+sOAHi2yVGfkK4rCvXv3+PTTT1m1ahWANHBawNLY2EhOTg7+/v6cOnWKRYsWMXnyZEpKSnj69CmBgYH4+vqSkZGBqakp48aNk/Ua1NVz6+vrcXV1ZebMmSjKs6MLvvvuOxYuXIiiKPj5+TFgwABu376Noihcv36dIUOGkJiYSGNjIwkJCfj6+srDE0+ePMmtW7fIzMzEwsICDw8PqqqqpBHx9/dn9+7deHl5MXDgQJKTk2lqaiIqKgpXV1f5HvXW7UWLFqGnp0dVVRUVFRXY29szYsQI7t27R2FhIfb29ixevJiqqiqampqYMGECrq6uKIrCxYsX6d+/P6GhobIdPT09Dhw4QFZWFmPGjMHOzo7IyEjMzc3JyclBURR27dqFnp4evr6+Uuhzc3NZsmSJDF1funSJoUOHYmFhQX5+Pk1NTWzatAlnZ2f5+XkOUtfsSAg9QFBQEKNHj6aiouIXoEftBFuSqe3btzNs2DCg+ZqwOrrz+PGzasYHDhxg586dBAcH8+233xIaGkp5eXmz99XW1uLh4UH//v05ceIEFRUVzJ07Fz09PfLz80lPTycsLAw3NzemTp1Kv3792LhxIxUVFTQ1NbF27VqMjY2JjIxk0qRJDBo0iOvXr9PU1ERCQgJDhw5lyZIl7N69myFDhjBnzhweP35W5TouLo709HRCQkKYMWOGPGl5xYoVWFhYEBgYyI8//si6desoLCzEx8eHiRMncvDgQVavXs3ixYupqamhpKSEiRMn4uXlRWZmJk1NzwqXBQQEMG3aNFJTU1GUZ9tFJ0yYIOVxypQpODo6UlFR0Szn6ffOuoQzi46OxtjYWPJGAAQADw8Pjh8/Lu2Cml/ivsePH3Pz5k1Onz5NYGAgw4cPx83NjQcPHqAoiswR3L9/P/3792fWrFmMGDGCZcuWUVVVxdOnT9m6dSsODg6sXbsWGxsbli5dyokTJzAzM8PNza1ZReiEhAQGDBjArFmzOH78OP369WPhwoXU1NRQXl7O999/z3fffcfmzZtxdHSU+ldVVcXcuXMZMGAAeXl5ODg48O2333LixAkaGxu5du0a3333HVu2bKGpqYk9e/bg5eXFnj17mDFjBt7e3qxfv5579+5hYWGBg4MDJ0+eZO3atdja2jJ06FCWLl3K5MmTGTRoEO7u7tTU1HDy5El5/MCYMWOIjo6W+vn9999L8CjsW3x8PAkJCXz99dfs3r2bxsZGoqOjGTBgABs3bkRRFFlFOC8vj4ULF7J69WpqamoYN24cnTt3JjU1VerIqFGjKC0tlROtlgCyLh0WegyQlZVFz549pS8QETXtver3NjQ0NAM9ImqozhsUIEgAs0uXLhEWFsaGDRtwcnJi06ZNsvSFuqJ0WFgYq1atYt26dVhbW2NsbExYWJi0c3FxcURFRfHTTz9hZmbG6tWrycvLk7Y8Pj6e6dOns3btWhwdHZk2bRo3b94kKysLPT09DA0N5YR6yJAh2Nracu/ePWbNmsXVq1eZMWMGY8eOJTExkdmzZ8vq+FeuXOGnn37C1taWoKAg7t69i6IonDhxAi8vL44fPy5tTlFREY2NjaSkpODj40NcXBwHDhxgzJgxbN68mYaGBpKTkzEzMyM6OlrS7e7du4wdO5YffviB4uJinj59ypAhQ3BycpIBi0GDBmFqakrO/53sq3PufivoEc/s3r0bR0dHyXu1L/nDgR5tyFgNerKzs+nXrx+BgYFSUNXrygL01NTU4OnpiYGBAampqZw+fRpjY2Nyc3O5du0aPXr04NChQ5SXl7Nx40befPNNFi5c2ExpxCGHRkZGfPLJJyiKwoULF3j77bexsrJCURTCw8N5+eWXZeTk4sWLvPLKKyQlJdHU1MTp06cJDg6murqalJQU9PX1SUtLo6KiAj8/Pz7++GMiIyNpaGigqqqKffv2cefOHQICAmjbti03b96ksbGRuXPn8vHHH0uwIBRNURTMzc1p3bq1LNw0fvx4evToQVVVFZmZmXz88ceMHj2a0tJSMjMzeemllzA3N5eg57XXXmP9+vXcv38fT09PPDw8uH37Njk5OXz22Wf4+fmRmJjIW2+9ha+vrwR7r7zyCt9++610/vPnz6dTp04sXrwYRXmWdN6+fXtMTEyoqKggPz+fvn370rt372aRLy3weR7oURulnTt3oq+vr7NOz/MMppCliIgIvvvuO+lYte2J2cqNGzcYPHgwCQkJ3L17l6lTp7J8+XLy8vJklEZRnlULHzlyJO3bt+fq1ascPXqUCRMmMH/+fKqrq5k5cyaurq5cvHiR6Ohohg0bRo8ePSRACQ8Px9nZmdu3bzN06FC6dOlCUVERdXV1pKenY2Jigo+PD6mpqXTs2BEXFxcaGxsJDg7G1NSUgoICtmzZQvv27Vm9ejWKouDq6srf/vY3eep2QkIChYWF2NraMmXKFAlsP/nkExkh+tvf/sabb77JkiVLUBSF1NRUvvzySz744AMSEhJQFIW1a9fy7bffUlJSQkFBAT169OCjjz4iLS1N0q6lJYvfAnpu3LjBV199Bfw8ixPHUCxdupRt27b9IuopwKfIz/L29sbDw4P09HQ2bdqElZUVqampUteE4bSzs+PgwYN069aNTp06ceHCBZqamjh79iw//vgjiYmJ6OnpMXz4cHJycjAxMeH1118nJCREHl9hZWVF69atMTMzIzs7Wx6WWFNTQ2JiIi+88AJ//vOfuXbtGtOmTeOLL76QOXwuLi60bt2aGzdusHbtWtq2bcuJEyekTLzwwgu4uLiQmZmJgYEBq1ev5s6dO9jZ2aGnp8fChQupqqrC1NSUPn36cO/ePQ4cOED//v3505/+xPTp09m8eTPDhg3j73//uwRFLi4upKSk8Nlnn2Fra0t9fT27du2iffv2kqb+/v688sorxMfHk5SUxHvvvcfJkydRFAV3d3defPFFXF1dKS8v58cff2Tv3r1UVlYyatQo/vrXv5Kbm0vnzp3p3r07jY2NlJeX06NHD/r16ycrire0YUOrw1qbAJCdnc0XX3whQYr695Y2T6idtJWVFRcuXJCOUwuea2pqKC4uxsTEhJUrV3L16lVmzpyJvr6+9A/qytEuLi68++67jBkzhnHjxvHPf/6Tbt26UVBQwMWLFxk5ciR79+4lKyuLOXPm0KVLF3x8fGT0OSMjgwEDBnDy5EkGDhzIJ598QmZmJg8ePKBz586MGDGCqqoq0tPTad26NUOGDKG4uJjQ0FAKCgro378/NjY25Ofn4+3tzcOHD9m8eTNr167lxIkTDBo0iK5du0o7Hh4ezrx588jOzmbKlCm0b99ejmvx4sV888033L59m+nTp/P+++8TFxcnI4Bt2rTB2NiY6upqFOXZsT4vvPACFhYWlJaW0tTUxLvvvsv3339PU9OzqHObNm3o1auXjCwLW/x7QI+4du7cyfTp04Gf87n+fwF6tOAnMzMTPT099uzZIwerCyTl5uby/vvvY2dnR2PjsyTGq1evUlNTw/z58/mf//kfqXClpaUMHDiQQYMGUVpaKhVIGFtbW1u++uor2f6HH36Im5sbiqIQGxtL+/btuX//Po2NjSQnJ9OuXTs2btzI2bNnuXv3LkVFRSiKwo8//kjPnj2lwc3Pz6dnz56Ym5vT1PTsqIZLly5RXV1NbGws7dq1k4dpuru789e//pXbt29z8+ZNSkpKpLN1cnKidevWMpTdq1cvTE1NUZRnxbu6d++OhYUFjx494tChQ7zyyis4ODhI0NOtWzcmTZrEzJkziYyMlCH+uro63N3diYyM5Pr167z00ks4OztLAf/666956aWXSEtL4+HDh3Tu3JnOnTtLh3v16lU6duyIp6cnZ8+eJTg4mLfeekuWjdfmy7Rk9NSGTFEUuby1fft2DAwMWoz0aA2n+F+Et3ft2sXAgQN/AXrU/WpqamLr1q18/vnnPH36rHLzw4cPyc7OlhEIIXMVFRUYGxvToUMHli5dyg8//MCRI0dkJO/DDz/E399f8i08PJzWrVsTGhoqAfX27dt58uQJdnZ2DB8+XL63oaGBbdu2ERERQXl5OR988AHLly9HURTGjh1L3759pdxMnjyZ4OBgFEXB29ubnj17NjtTTciBp6cniYmJjB49mjfeeIPk5GQUReHbb7/l9ddf59NPP6WoqIhNmzbRpk0b/vWvf3H16lUU5VmUbPDgwTx8+JD58+fTvn17PvroI5KSkiTwUCeW/l7Qc+/ePXmujiiRL8DuypUrWbJkSbMwvDofQfDFyMiIiRMnSllOTk6WR0aIyF5ubi6bNm1i9uzZfPbZZ7zwwgsy6lleXs6hQ4dQFAUPDw969epFU1MTc+fOpUuXLvTo0YOysjLy8/MZOHAgrVu3lpOhSZMm0blzZzIzM9m8eTPvv/8+7dq1o7KykmPHjtGxY0eOHDlCYWEhHh4etG7dWi5Jd+jQgRMnTnD//n2cnJz485//jL29PTt37qR79+5cuXKFpqYmrly5wtGjR2X0zdfXl/79+8sItaenJ3/605+IiYmhtraW+Ph46RSvXLnCwYMHSUtLY/DgwXz66adSrjt37tws8vDPf/6TM2fOUF1dTb9+/YiOjubMmTNYWFjw4osv4u3tzc2bN3n77bfZunUr9fX1bNy4EXt7ewoKChg3bhxffvmlPNNq+PDhDBo0SJ5RpY3MtKS7Wnsg5ETswBQTYF35N7pAT2FhIZaWlsTExEibr965KfLs9u7dS6dOnYiJiaGxsZHbt2+zd+/eXxzZIWSjVatWbN++nVu3bhESEkKbNm04ePAgnp6ecuIq0iY++ugjPv30U3l+YFlZGRYWFjQ0NDBp0iQ+//xzeabfv/71L6ZMmUJNTQ3u7u60bt2aKVOmyGh0XV0dQ4YMkXbh4cOH1NXV8emnn+Ll5cXhw4dZtu7ljxwAACAASURBVGwZenp6bN26FUVROHPmjFwqXrNmDZ06dZI0WrhwIX/729+or6/Hzs6Of/7znzKCU19fzzvvvEOHDh04c+YMjY2NLF26lFatWuHs7Cx93Mcffyx95YYNG2jTpg0GBgaUlZVJH/B7sYF4bseOHbi5uQE0K3j5e23Ofx30aJcYxCUcVUZGBgYGBrI4oQgxCgEXAn3z5k1at24tiaLeCTV8+HBee+01GVqtra3F2tqaL7/8kuLiYmm0m5qeLaWYm5tjYGCAoigkJyfz+uuvS8GKjY3llVdeITc3V/7epk0bCaIuX74s6TFo0CB69uzZbP13yJAhjBw5UipdQkICBQUFnDlzhrZt28rCe+7u7nTq1Ilz586xadMmvLy8uHPnDoqiMGHCBKlY2dnZdO3aFRMTExTl2cyhe/fujB8/ntOnT3PlyhV69uwpQU9SUhL/+Mc/eOedd+jYsSN+fn4ShKSnp2NsbMyCBQu4evUqr776KjNmzEBRnm0X3LBhA//4xz9wd3cnKCiIgQMH8v333xMUFATA5cuX+eCDD/juu++wsLAgKCiIzz77DDs7Oym4QoHUvG8JtIi/AvTs2LHjN4Ee7SXC2xERERL0CH6L3xsbG2Wkx9nZmc8++4z8/Pxf5CKpS/CXlpZiYmJC69at6dixI//617+Ij4+X0cOOHTuyevVqOaM8f/48rVq1YsGCBSiKQkxMDIGBgdTX1zN9+nQGDhyIoigydL5mzRpCQ0MpLS3lrbfekkus/fv3Z+rUqTx58uzwPnGQLcD8+fP5+uuvyc/PlyHgkpISOYs7c+YMHh4etG/fnmvXrqEoCr169WLy5Mm8+eabLFu2DGdnZ3r37s3HH3/M9evXURRFRinXrVvH3Llz6dOnD126dJHASZtI+ntBz507d2QNJaGjgm+iKJn6YF117l9lZaUEPUZGRnLc6oiC2Ml14sQJevXqxdy5c5k+fTovvPACQUFBNDU1cffuXSIjI1EUhaVLl/Kvf/2LxsZG3NzcWLBgAZ06dZKnr/v7+/P666/Lwy8dHBx4+eWXCQwMJC4ujpEjR/Lqq69SXFzM2bNnadu2LaGhoTx48AAXFxdatWolk3vffPNNJk+eTGBgIJs3b+btt9/G2tqazZs38+abb8olT+EAhMMNCwtj4MCB8vvNmzfTqlUrsrOzJZ1MTEzo3bs3t2/fZtu2bVy7dg1PT0+6d+8uc0DefPNNybvk5GT69+/PsWPHpGy4u7uzYcMGIiIiaNu2Lc7Ozly+fJmXX36Zo0eP0tDQQElJCXl5eTx+/Bhvb29ef/11KdvBwcG8//77PHz4sFne3O9ZChVycv/+fZmXJ7a/a0GUVgYFQH7y5AkmJiZERETI59UTHiFTW7Zs4bXXXmPfvn3SxwjfIT4LAL5y5UratWsn89sE6HB1dcXLy4uuXbtSVFREQ0ODjBB27NiRrKwsCcSmT5+Oojyb6Hbr1o2SkhJqamr47LPPGDlyJKGhoSxevJh3330XV1dXOd6qqir69u3L4sWL5fiePHlCu3btWL9+vTz0+sKFCzIPS+SHCfvy2muvSXolJSXRs2dPlixZwqBBg/jrX/9KRkaGpI+rqyvvvfcednZ2JCcn4+TkxKuvvsrChQsl7bp06YKtrS1xcXF4eXnRqlUrRo0aJScd/y7oefr0Kbt378bFxQWgWV7nHy6RWZ23oR6AAArp6eky50QIqiCCuBRFkZGJ0aNHk5ubK09Ib2howNDQkHbt2nHr1i0Zch09ejRmZmYSHAlHVltbi56eHn379kVRnkVG2rZty8qVK1GUZ4eetW3blnv37qEoCocPH6Zdu3Z4eHjw3nvv4e7uLsN/gwYN4rXXXpMCXllZSd++fTExMaGpqYnCwkJOnDhBeXk5kZGR/OUvf5EI1sXFhS5dupCXl8eGDRt49dVXWbp0KQB9+/alTZs2FBUVUVtby/DhwyVIS0tLo2fPnnz55ZdERkZSV1eHgYEBjo6O0qh98MEHWFtbM2DAAL788kvi4+NpampiyZIlvPLKK+zYsYPc3FzeeOMNpk6diqIozJs3j2vXruHl5UXHjh3p27cvJ0+eRF9fnx07dqAozyIX//jHP3jppZdYsGABDx8+ZNiwYXJpTb0rp6XlLbVMiEvM+J8X6dGGw9WfBYBWgx6hhKK9xsafT7r29/eX9L558ybXrl3j4sWLFBUVNcspKysrw8jIiLfeegsrKyvee+89zMzMyMvLo7GxkQ8++IDBgwfLdqKjo2nVqhU+Pj4oyrMK0+vXr6e+vh5LS0u6dOkCPNsun5mZyYQJEzh27BglJSW88cYbks5GRkYMGTJEyvmDBw8Qa/aLFi3iq6++orCwUBqYxMREOnbsiLGxMbW1tcyfP59XXnmFK1euANC9e3fOnz/P559/znvvvceaNWtYvXo1HTp0kKBmwYIFEgQ/ePCAdevW8eabb3L79m2A5y5Z/BZndvXqVZycnICfj5oRFZlnzpzJsmXLms3ihd7X19dL0GNjY0OXLl04duwYmZmZXLp0iZSUFOncnj59irW1NZ06dSIrK4vly5fTqlUrFi9eTHl5OTt27CApKQmAxYsX0717dxRFYd26dVy8eJHx48fTpUsX5syZI5dxRo8eLUHPn/70J0JCQnj69CmWlpZSn0+ePEnHjh25desWT58+xcfHh1atWnHu3DlKSkro2LEjH3zwAT/99BM5OTl06dIFc3Nzdu3aRYcOHfDw8ODixYtkZ2cTHx8v+bpmzRoGDRokaRkQEECrVq1ISEiQ9uXbb7/F0NAQT09Pxo8fT11dHb6+vnTp0oVLly7x4MED2rdvL/PMkpKS+OSTT9i/fz+PHz+ma9eu6Ovrc+nSJSorK2nbti329vZkZWXx/vvvM3PmTC5cuEB6ejqHDx+mqqoKZ2dnXnzxRTnRCgoK4p133uH+/fsoitIssfZ5kR7172J5Kzc3FxMTEwmO1VFh7S479XuELI0cORJ/f38AmfMobITwATdu3KBr164MHjyYCxcuUFBQwI0bN8jOzpZ5RCIiv23bNt577z0SExNlX7/++ms2bNjA6dOnadu2rQTSiqIwZ84cevfuLQ9NPnz4sIz8BgQE0LFjR27cuEFjYyP9+vXj/fffx9vbm7y8PPr27YuRkRFNTT/vPjQ2NsbBwUHmIz158oQePXpgampKYmIiRUVFpKWlkZubS2VlJXFxcURGRlJbW8vu3bvp0KGDTKF4+PAh33zzDf3792fkyJG89dZb3LhxA3gWbIiKimLNmjV07doVGxsbfH196dmzJ1OnTpW069OnD127dmX16tVcvXqVHj160KtXL0pLS/8t0KPmv0gfELzXYog/LOhRJyYryrNIysCBA+XZW+ot1Gp0W1BQwNChQ3nrrbewtbXF09NThsT37NkjZ2lPnjwhJiaGESNG8NNPP8k+CGY8evSIL774gk8++USiyz/96U/MmjWLmpoafHx8aN26tUyQ9PHxoUOHDly8eBEPDw8+/PBDYmNjURSF0NBQ3njjDVasWEFjY6NcWvL19eXgwYM4OTmxb98+GVps3bq13J02depUunfvTllZGevWraNNmzbMnj2bp0+f0qVLF1q1akVDQwPV1dX079+fwYMHU19fT3Z2Np999hmff/65DKH26tVLRltOnz5Nhw4d2LdvH3v37uXNN99EX1+fBw8e4ODgQKtWrXByciIiIoK//OUv9O/fn/Lyctzc3Dh8+DDXr1/n1VdfxdTUlNzcXHr16oWfnx+KonD27Fk++ugjunTpQnp6OgDfffcdenp60kFpoyXPAz3aRObt27e3mNOja6anXr6CXy5vadsRs7fMzEy6devGhx9+yPjx4xk7dizbtm2T69JCPisqKhg1ahQfffQRKSkp2Nvb89JLLxEcHExTUxPTpk3jrbfeIjw8nLt377JgwQIGDhzIrVu3OHv2LEOGDJHLX0ZGRrzxxhs8efKEkydPMnnyZMzMzHjw4AFZWVl06tSJrVu30tDQQGBgIG3btsXW1pZFixbh5eXFhQsXUJRnyzJi6ULMvi5cuECbNm3Q09MjIiICfX19XnjhBfm+bt26UVRUhKenJ2+88QbXr1/Hy8uL1157jYsXL6IoCrNmzaJNmzbExcWhKAoLFy7k7bfflrlt/ynoiY+PZ9q0aZKvIk8PnhUn3LVrF/DzWr5wmk+ePJERoICAAF577TX69OmDpaUl9vb2nDt3TjqIuro6Jk2aRKdOnfjxxx/p168ff/nLX/jqq6+YO3cuJiYmZGVlkZ2djaenJ507dyY3N5fJkyeTlJTE9u3befXVV7l06RI5OTl06NABU1NTysrKMDAw4N133+XGjRsoioKhoSEvv/wy+fn5+Pr60rlzZ3L+76YAHx8fXnzxRWJjY4mNjeXll1/G0NCQJ0+ekJmZybvvvouRkRHp6eno6+vz9ttvY2hoiI2NjdQ1RXkWGejbt6+cBGzcuJFWrVrh7+9PQ0MDwcHB0nYaGxvz9ddfExUVhZGRES+++CJhYWGcPHmS9u3bk5KSwtOnT/Hz8+Oll15i/vz55Obm8uGHH+Lg4CAjZa1bt2b48OHU1dVhYWHB22+/jYGBAZMmTZJJ4Y6Ojrz88stERUVJwPzXv/6VlJSU54Ke5+mwGvSYmpo2Az1iQvW8DRJiMjlq1CgCAgIA5CRHPK8+oNPV1ZX/+Z//QU9Pj+nTpzNlyhRu3bolc3qEbO7atYt27doREBBAXV0dV65coXv37ty9e5eysjL09fUxMjKivLycsrIyhgwZwsKFC6mrqyM+Pp6BAweSnZ1NRUUFK1as4M9//jPR0dHU1NTIHC2RVzdkyBC6deuGoigSdImEdSHjT5484YcffuAvf/kLw4cPl32/dOkSUVFRGBsbs3nzZurr64mKiuKNN97g5s2bVFRUsGrVKt555x38/f3ZsmULL774Itu3b5e2e9GiRVRUVGBqasrnn39OTk4OY8aM4Z///KeMJJmZmdGuXTsuXrxIfX29nAzevHkTRfl5qfH34APxf0JCAn379pW81+7i/MOBHm2+hxjs5cuX6dOnD/v37wf4ReE39XH2R44c4bPPPuODDz5g2LBh+Pr6ylwDd3d3PDw8SE1Nxc/PTwqpaF8gx5qaGr788ktGjBhBVlYW3t7e9OjRAwcHByIjIxk6dCgfffSRXGqKiopi3LhxZGVlycRDscOppqaGjRs34uTkRFFREZGRkbi6ulJcXIybmxvffPMNly5dkgb7u+++k1tXV69ezahRo7h8+TI+Pj7Y2tqSmJhIVVUVo0ePZvDgwVRUVFBaWsrcuXOZO3cujx494vr165iamuLi4iKduKOjI+vXr0dRFE6ePEmfPn1ISEigpqYGV1dXvvnmG9LS0jh58iR9+/bl+++/Jzw8nAEDBvDVV1+Rm5vL2rVrCQ8P5+nTp0ydOpWrV6+SmJjIiBEjpHG7ceMGtra2uLq6yjXciRMnysiWOgFQV9LrbwE9I0eO/E2gR/2dcP5q0KPmvXrnnoj4hIWFMX78ePr27cukSZO4ceNGMzkVIGnhwoWYmZlx7949rly5goGBAS4uLtTX13Pr1i2mT5/OvHnz2LdvHwsXLpTr4YsWLcLKyoqbN2/S1PQsCdfCwoKqqip8fHwYMGAAu3fvRlEUWUk2ICCAhoYG8vLysLKy4u9//zsjR45k06ZNcha9fPlyDA0NKSoqkpFQsaPPwsICX19fvL290dfXZ/369VRWVmJpaUlNTQ0pKSm4uLhQW1uLt7c3BgYGXLp0icbGRsLCwrC1taWkpISmpiZWrVqFnZ0dDx8+bLa54PeCHqHnZ86cYdKkSSjKz6UrRCKzo6MjZ86ckQ5TaydE2/fu3cPNzY0hQ4bwxRdf4O3tTVlZmdyV9/jxY44ePcr48eOZPHky7u7u2NjY0LlzZz788ENMTEy4cuUKu3btYuXKlXTt2pUffviBr7/+muTkZHJzc6XDysvLw8XFhYCAAIqKili6dCleXl4yny8gIEDutAkKCsLZ2Vlu6Y6MjGTixIncvn2bpKQkJk6cKHn94MEDHB0d5e6tw4cPY2lpyahRo5gwYYIEVY2NjURGRrJq1SpKSkpQlGdLLa1atWLz5s2UlpayZ88eaTd37tyJg4MD/v7+rFixAisrK06cOEFaWhpOTk7k5OTw5MkTQkJC+Pbbbxk3bhznz5/H09OTw4cPS5rr6+szZ84cFOVZBFGcZ+fu7i6XS7dt2ybzex4/fsyZM2fw9vaWNlO9rPR7Qc/9+/ebgR5d6RHamb+wPYqiYGpqKiMr2oNr1cnQ169fx8HBgYEDBzJmzBg2btwod/mpJ20RERG8+OKLTJo0iRMnThAcHMzWrVub7fLz8PAgJSWFq1ev4u7uzu3bt8nMzMTMzIwvvviCmJgYEhMTmTFjBu3atWPp0qUUFRXh4OCAvr6+1DkXFxfGjRsn5bmxsZGNGzfi6uoqQVBDQwNJSUl8//336OnpYW5uzpIlSygsLMTX15fvvvtOliiIj49n9uzZZGVlUVlZibu7O3Z2duTl5bF9+3YGDhxIWFiYjIKtWrVKgo+tW7fKTUGzZ8+WoGfJkiUYGhoCUFlZyY8//oiNjY3MQ/t3QI/gZUpKCn//+9/lpFU9cf5DRXrUgiqIIoTv6dOnZGRk0Lt3b5mIJRCteFZdiKmmpobw8HCCgoKIj4+Xy0xNTU08ePCAc+fOkZGRwaVLl6QB0kaa6uvrCQ0N5ejRo+Tm5nL69Gn27NnDsWPHOHr0KJs3b2b79u2y3sr9+/dJSUmRiVwXL14kKSmpmRLGxsZSWlrK7du3pXM6f/48R48elQm1ubm5xMTEyAjSrVu3OHLkCFlZWXILo5ixxMXFce7cOaqrq6mvr+f+/fuI5Y3s7Gzi4uJITk6WY7px44Z8Pi8vj5MnT8rx5+TkcPToUZk8e+rUKY4fP05JSQmxsbFERUVRVVUl64SINhRF4e7duxw5coT79+9LEJCcnMzt27elI4qLi5NGU+2sdAmrdvlC8FeAntDQUMaNG0dlZeUvQI9WftRJjeqdO2L3Vk1NjVRAAcLEe0TeUWpqKidOnJBbubXG9fHjx6Snp8ulr6amZ7v5YmJiJBDPy8vjxo0bXLt2jYyMDBlVPHv2rKxn0dT0c32dR48ekZaWxqlTp+RMtK6ujosXL8p+NDQ0cOfOHXbs2EF8fHwzEJmSksLJkycliBf0yMnJ4dKlSxQXF1NSUkJSUhJ37tyhtraW8+fPy7yF7OxsGhsbSUtL4+zZsxQWFtLY2MjDhw/JysqSoCM7O5u0tLRmuXX/Ceg5deoUlpaW0hnV19fL2fSUKVNk8qW6IKZ6Zi8+5+XlER8fz08//STr9AhnIGiZkpJCZmYm5eXl3Lp1C19fXzZs2MCpU6d4+PAhSUlJJCcnExoayvLlywkNDZVLaIInouREcXExT548oaSkhPv370s61NTUkJGRwaNHj3jw4AEZGRnNbFFGRoasWZORkSHrmDx69EjWahH9vXPnDklJSbJMhhhvRUUFFRUVktfr16+nVatWxMfHy9oxwlbW1NSQlpZGSUmJfKeIkN29e1fSsaCggGPHjrF7927S09PJy8trVr08MTGRnP+7/VjYgoSEBFm6oKmpSdYYExOOpqZn9ZOETrS0kUHXpEVdl0pMAERpA3WBT7UM6HqvAAmOjo4SYGrr84h3iPfdvXuX2NhYqZdC/kT+n6Io7Ny5k44dO7Jx40bOnTvH9evXZXK1sDEPHz4kNzeXnJwcCgoKePLkicytOnDgAAkJCdy+fZvTp0/j7e2Nt7e33P2VlJQkaXjt2jUuXLjQrLDlvXv3uH37drMIqKI8i7pfuHCBtLQ0KbsZGRnExMRIftbX11NYWNjsd5GKkZKSQmxsrJzUNDQ8q0km+Pfo0SO5Q7egoEBG3W7evCmjzrW1tVy+fJmbN2/KzTL/h733jq+6yPrHA6xtV91FXdfn8eu6TZ/dl6vu49pXXV0sLP0RCFURElBqEgLEmGKIG3rvECBACCUhIT0hvRMgBRJAQKoI0pKQ3JSbcuf9+4PfGc4dPvcmgJLi/PF+3Xs/9/OZz5Qz57znzJkZ7rm5GX4gxLXQDSI9JpPplrfJaHXSw2N4uJCT4Jw4cUK65YW4PkXC53CpM9HSVKONi/inEaiCKU/8GQ4jNyp/3miEohp5W9fVdI1+8/wZKQv+nL08GRFOVXHYyrutPNrKi716V4kLtSNfTkqkZ9WqVdIbYkR6uEKl58gAmc1mrFmzBn369AFwzbVNMsdXgNgr3820ub06s5cubwcuk/Zk61bez99nKy83I+e22rQlSk2IayvbvvjiC0lQ6uvrZTuPHTvW5jEUtsrfnMwRaGUXD2znclhVVWVVn9zANlf+ltSXel9L65ffS56xmTNnolOnTnIjRFptZE9+1O+c+NvqE7fSR+yVS9VjPC+q5//MmTMYMGAAgOurt7jxMyI9pLO//fZbudEltT0nP/b0NOkI8i7V19fDZDLBxcUFXbt2RVFRkZQP0l3qCiPKR2NjI8rLy2XsH9V3XV0dKisrUVJSIjc3vZl+Z8uW2NL1LdEvLX2fURq2/r8VfiCEQFFRkfTUt+sdmVXSQ4UgQczKysKAAQNkRyYB5/vr8KWy/KwkvoumasztKRw1II6PLPnIQlW8Rh3PSHjU+5pLxyg9ewZJTdvee4yUn1p2o2eMFJStd9vLq5Es8OWj5HUBru3IPGLECOkB4M+rckQyRJ80pejj4yM7jfouo05vVG5Vidgqr1GdqM/ZI5vNtZlKwG2930gObX1vTsaak+ubVT707KxZs+TAht5NKzTGjRtndQwF9/TaKqc9g8GND8kHN65k8MmA2VoS3RLiyvPEy2yLcNjr70btStevXr2KVatWoW/fvjhy5IgsA49TsdXmqueFT1faeq4lBtZe3RjJi1Hf4KRDiGuensGDB0vSw/u5UR65zUhISMDo0aNx9uxZ2bZkS2yVg+SAx4/S1Csda9GtWze5SIYvZ+dyxn9z/UTvpjihpqbrZzByu2NPl9qTi+Zky1a72NJZ9tqXP2fLHtysfuBpJSQkYNKkSbLtbQWut3nSY9RofDRHQXg0V84DmbmR5IqKOq2tzao02iZ456L2o6M2AGD69OmYPHmyzSBoTkxVA1deXg43NzcsWbIEAKwUi70gSI070+ZfffUVIiIiIMT1kTeRXU56qM1I59yKMlUHE3SNy4JKrvhgx8iwtnb91dbW4ptvvkFhYSEqKyvlQJAfEqrml/cRTuxUEnin9Cd/j1r/NEg5c+aM1XElav55+1K6FLuzefNmjB8/XsbIcHLHiY9RHfH6MJvNqKqqQllZGZKTk5GZmSnrnBMVPnBT65sG5/RObsN+iMM0Owqo7HV1dVi1apUMQicZ5fV0s2m3OunhQkEdDwCioqLQt29fuRJJDZokoaARGSc8RkxUo+2Ct5UR6XFzc4Ofn59h1D6XBR7sTgqlpqYGXl5emDVrllSYdXV1VnE9miC3TpsLIbBq1SrMmzcPQgjpnaBjKCim54ciPUajVHVEqg6quFHl/7V2/QlxfTk39xxQfrmnx4j0GI3mVU9Ya5IeFdnZ2Rg3bhyA68uWVa+GEekBgPXr18PV1dXqHCjSFVxfqHXLSRGRHwpm5h4HSstIbuhZTorIznEipHqu2pKc3Wlwu20ymeDv74+YmBgA1z2+7dbTw5UJXSNBjYmJQa9evawOuePsnISEn2zNhUoVHtVQ8mvqd6NrRt9tlcnofUblNnpGfY+t9Fqan5a8s6X10ly+jeqxuXLy/2iUREqcVvE4Oztj8eLFhmmrz3KXdF1dHaqrq+Hl5YWZM2cCuH6GG7m41Tlie/Jqr9y2ytpSeTOSFXvt29z1m2lvW99vVn6a6wtG5Y6IiJC7f5PxMCI9RiNn0gst7Xe2yAz/VO9RpyX4PS1pg+b6wc3oEKPfNE1rFBtJ9WOUrjodQWWlZ9Q+YVSv9vpjS+TKnl6gvkvf165dCycnJwDWh04KIWwaQbIlgYGBGD9+vIzTorYkT5CRjaBr6pYqDQ0NcjUXbSZK9ocfiM09EbxueZtRutz7bLQwoLm+dDP1bqu+m+vfLdFBN9PutnQq74fAtcBlLy8v0G7avK1ulRi2uqeHDBFlnlzbMTEx6N27N86fP3+DYNJKCn74mMqSWzKH2VKhsNeYzXXeW3nXzeTJliJpaZ5utx5+yHt5OzY2NsrYDmdnZ3lMAN1npPyp3ekoAzKgPj4+mDt3rlSYKklWO9AP2Wb2njdSJjcrU/aut9SQ3op83YrsGT2TkJAgjRkfORPpsRfIrOoFW/nkz3BZ4QZOVaZ8taGtqVD1fS2tn5ttV1sGRghh5SWwWK6vVqJy2kqT+gCVl9Lh5eX1fDty3pIy03s4uaAVrvX19YiIiEDv3r0BXI/rIM+fLdJDO7rHxMRgzJgxcgUtnx3gcmFUDnV2gQ/MaPBE1znhtKVP+GDdYrlx+kwlYs2Rnh8SLWnbW9UdalrN6Qpqx+rqanh7eyM5OVm2Nb/HqP+1edJDDU8FIdJD01vk6eHeIOoMXPHxzm4ktM0pAHWkZOT+vZnGNRphGSlY3hHUfNryVhmNCJrLi1EejJQ91SX/bVR/qtJUy63mj6el7u3C30EKqanJepM62teIj1C5cuCrTkghCXFtfxdPT0/Mnz8fAOR2BnweviXtq/6vlkGFUWzIrcgSl42WKBt7hL85WaT88ukSXpabkf+W9o/ExEQZq0GjXiI9tMkgKTsyJnwBgyqfRiNB9Ts3dpw0qIsl1EBUHuSrkmYjvWZU52p9qkRXnari11V54n2QplzomqoPjaZXVO8D5YOXV/V4NCdT3PDTp1GsHW8LNV98YEJEl3bo5wMXXk9GpIdCJQ4ePIiRI0fK8+KItKjPGcmLrWvkkRPa8wAAIABJREFUlaTycc+OOg1vNLji5I7qhw6SpmfsEQwjGVPzqtY7j/fi72xJvzF6n5FO4P3QyLbY0kNG9kWIa1tF+Pj4ICkpSbZdh1myTh2GRvfx8fEYMGAATv3/u5karfLinYUrBN7pqPPTp+oRoo6legDUOVquKFUFQr95HlVDxd3QPF3e2blC5KMZ+p8rNT7HbCRwXHD4/TwtXlYefEdLLrlipPu5O5bHxfDNB+maKsS8oxkFTdI1MkAkCyNGjJDHIqiCzstK7xZCyHn/mpoa+Pr6Ys6cOQAgDz6kzs5jH/g0gTq6UWMlVHlSwafZOJEzMpiqMuArQYzkSiV/PA1bHgmSFcov7XulloUrFio7lxXeD9Q88HpT64HnkdIUQiA+Pl5uMU9BnjTwcXZ2ltNb3FDRMnO1XLzf0bQlySIPfuVtQmXlRoE8hNQXVBJAZeL9h0b9atvS+1QPDG8n3ldotE+GVe0vPL9cB/D+Sc9yg8ynfo1Ij5Hc0u63VJ883o63uarT6HnKO/3mOk2tU/5dJX4AcPLkSbk54dWrV63kStXppAPo2WPHjmHw4MHIysqSukFtE1X3c9Km9nHez/igWggh5YYTRp5XNW3ep3m/M+rb3BbZ6uP8nfy4Dq5TaBVaU1OT3MiW6pzrOm5T+IBIJW5czngaKgHi/V+1U7ZIT21tLRYtWoTg4GDZ97kObHekhxtH4Np8HcVx5OXlwcnJSW7uxRWOSghUhcsFSnVl8uc5KSLFxRWn2hn4NVVR8E/e6FzJqIqHPvl7uQGi+7lQktGl+uCdy8hbxZk0dUbeYUmh8oNaSalxQeSEibtg+TW+l4XRyJR3FJUUcOVCxoZG/I6OjnI7c1XQjUgDyYsQApWVlfD19ZUxPbW1tVZ1yA0mzwOXJU4M+JJ3NYBR7bzcqNrq3CqordU9pyhv6shZHQka7T1EZSWFzKcOSFFzw68SbbqPKziVxPCRrZFC4wSJ9//4+Hirg2lJsQHXVm/RVvx8czjVi0FElhsUiregMlG780EQJ4Bq29DznPRQnahEhgyMShLoXiIyRCQovdra2hv+ozxS+iRn9H76nw8aqF0tFovVsmmeB/qtEl0jwkNyduXKFSnvtOcV1xWqPqX/6ZmamhppXHl7qM9QP6L64OSA3nPs2DF59lZlZeUNetRIHsnTU1RUhD59+mD37t1SB/DBlbr6iusoXre8P9D71EEe9wCpZIV+E+mifNMAhJ7j9kq1Q1xfqURClT1OlLkOobZRiRevA7VO+Tu47eahBFw/8bRUfWpE0rjeoOep7rdu3Qpvb28rGeb1065IDzeGVGgydMXFxfDw8ADtOMzJgLr5k0o01A6sNgJXjrwR+Wm6AKzyR6SMp602Kvd6cKNH9/DrHHwlAe8samwKrweeV04Iefo8LyTgatAcGTyjkajaEVXWTs9T3dN9RkST8qiuKuEKnpMQMm5CCHzyyScoKiqyagMj0sNlgkhPRUUFAgICMHPmTJDnhxQVN3acvHElyA2n2p683VSSS+UnY8jJk5FHQCUxJJfUzpRvyqcRWTJSXpygUX6I8HDlTsadTx3wfYx4WqREOaFWFSSXE06g1PwnJyfLQGYuU8C1ac2srCyr9LgHh9JQpxoob7zdeNtxI0T9Us0n1zd8ZMyNHTc+1K78ebPZjOrqaityw1cYUpvU1dVJeefk1mhEz/u4Wsfc00DySYMHMq6c+HIdaSSHFRUVMr+0kaOqU9W90lTiSe+jQz4pr9xQqjqA3snzderUKUl6KMCZ8tXYaLzMu77+WkxPSkoKXn/9dTm9xQchVO+czHJvBSey1IZGMk7GmBNB6mOqDiR54u9QDT0nSerAlcst1ze8reg6r0/u4VR1OtUhf04lxHygS+3NjxgyyiPv6/SfOpCistN91Cco31u3bpUn0vP+3O5Ij2qsqFKJcOzfvx++vr44efKkFAw+CqOK5h4G6uBcuVIHo07LjS8JOAm26nXgBpA6uHoPB+WB9luoq6uTAs1H2pwNkzDQBlX19fVyG3MSYOoklFeueNR8c6VJSo+/n8rKOzrvEGqdUP1SnomI8U+ujFWmzhUfN968LTlx40qRDI2Pjw+io6OtOopKnnlHo/xQJ1myZAkmTpxo2O5kCKgstjow/c+DF7kMqEaI1zlvd54Gr2/VmNB7jYgkb2MuSzwt1YiphlBV9JxUNTU1WRkTkgFVHqgOuQHjio1+czJGBIveExwcDF9fXzno4AbB0dFRkh7yOpD3gPJN05gka6pipLquqqrCuXPncOnSJZSVlcFsNqOsrMxq5+UrV65YEWDqx5QONwKke3j9cjJC5JHkn3vSuB4xmUxWeqKiokLuGk5tTOkS6W9oaEBZWZmVp9FsvrZSifJdVVUl9SYNHrieUgcxqvGor69HeXm5Fcmk75z81dTUyHahfkSyVVVVhQsXLuDChQvyfyoPtV1NTY08Vqe6uhoVFRWyf9GRJFeuXEFhYSGGDh1qNVgx0icq6RFCIDw8HM8//zyKiorQ1HTtjD2qf05KuZxSGlTH3ODTd6O+ywcG1NepvvlKUWpbfmAo6XquA7m+4oae6xquv6g+1PepXkgux9QW3N6RreR6jJeL2pgPePkAiu4zsq1c93CbwQdb3Cu5bds2TJo0SQ5aeRu0a9LDR01CXDtl3dPTU5IeqiQagXEjYOSypgriHYyP0rlS5s/xT25AVAargjNknkduNNURYlVVlezA3HNDDc6nRigv1IlIuVNdqsaSl9PIEPHRCCl3LoxcOaqjC07c6B20jJPS4nXBy0tlIw8I72Q1NTWy41O7WSwWrF69GoGBgbKTcUEnGVK9ElRGIQSWLl2KPn36wGK5dj4QrwfKA++EZDSILFNeqMz8HCauaKkO+e/z58/j8uXLN9Qj5Y+gjnioXACsPJv8GVVGjYhGdXW1FSiQm+7l3ioyMlSfTU3Xdvzl5Ez1FHAZ58RPJYF8ZEn9sq6uDkuXLsW8efNQX1+PsrIy1NfXy0MU+/fvj0WLFiE5ORnz5s1DYGAgQkJCsH79eqxZswabNm3C6tWrERERgfXr12P9+vXYvn07goKCsGnTJmzcuFF+nz9/PsaPH49p06bh888/R0hICDw9PbFw4UJs3LgR27dvx+eff47ExESkpaUhOjoaixYtQmJiIjIzM5GRkYHIyEisW7cO69evx+rVq7Fy5UoEBwdj586diIqKQkJCAhITExEVFYUNGzZgx44dSE5ORnp6OlJSUhAbG4udO3ciKCgIq1evxtatWxEYGIgtW7Zg48aNCA4OxuLFi7Fw4UKsXbsWQUFBWLduHbZv347g4GCEh4cjKioKa9euxfTp07Fq1SoEBwdj06ZNWLFiBcLDw5GRkYFFixZh9uzZyMjIQHJyMrKysrBz505s375dnt8XFBSEiIgIhIeHIzQ0FKGhoQgLC0NoaCi2bduGrVu3yvLRAaapqanIzMyU5YmMjJTphoSEICwsDFu2bMGaNWuwfft27NixA8HBwfDz88OOHTuwceNGrF+/HtHR0YiKisK6deuwcuVKrFmzBvHx8QgKCoKPjw+2bduG+Ph4rF27FoGBgZg+fTqGDRuGgQMHSjLDdTYnArZIz3PPPYe8vDwpf3ywYDZf23SQEzjq+9TfL168iIsXL0qirBIdAHKgpup/yhMtw6fzo9RBLJEElZCoA5mrV69KQkp9mZeFe9mIvHL9SHqAkxruZSQixfu10aCLQHVGOpEPitT8q/qPSD+RJtW2WCwWhISEwNXVVRJvrifbFenhjJe7vsigHzx4EKNGjcLq1auRlJSEpKQkbNiwAQsWLJDKZNeuXUhKSsKuXbuQnZ2N+Ph4xMfHY9euXQgODsaqVauQkpKC+Ph4JCYmIjY2Ftu2bUNwcDDS0tKQmpqK+Ph4ZGRkICEhAZmZmcjOzsbOnTsRGRmJuLg4JCQkIDo6GjExMVKBZWRkICsrC9nZ2cjJyUFubq78TE1NRVpaGnbv3o309HQkJSUhKioKoaGhSExMRExMDOLi4hAVFYVly5Zh9erVSEhIQFxcHFJTU5GXl4fMzEzExcVh/fr1iI2NxZYtWxAUFITIyEjEx8cjNDQU8fHxCA4ORnJyMmJiYpCVlYWcnBwUFRXJcsTFxSE6OhoRERGIjo7Grl27kJiYiMjISERFRclyrVy5ElFRUQgKCkJaWhpycnKkcszMzJSKMzU1FSkpKUhJSUF0dDSio6MRHh6ODRs2YNmyZYiLi8O8efMQGxsry7Nz507ExMQgKioK8+bNQ3h4OPbt24d169ZhyZIl2Lx5M6Kjo7Fu3ToEBgZi/vz5WL16NXbs2CHfN2bMGCxcuNAu6eFyxD0fQggsWrQIf/7znxEdHY2ZM2ciLCwMUVFRiIiIQGxsLGJjYxETEyPLs379eqmMly5dKg1acnIyUlJSsHTpUkRHRyMhIQFbtmzBjh07sHXrVgQFBWH9+vWIjIxEdnY2oqOj4eLiAnd3d4SHhyM/Px/Z2dnyXTExMfJ7VFSUbBdqm6ioKOzatQvLly9HZGQkcnNzZTvn5eUhIyNDGlJKj9olIiJCEoT169dj06ZN2LRpEwIDAxEXF4fY2FhZRpLfpUuXYtu2bUhISJByv3TpUuTm5iIpKQmRkZHYuHEjdu7ciYSEBOzevVv2KzXvhLi4OMTFxWHjxo3YuHEjQkNDsWHDBiQlJSEkJARubm4YP348TCaT9HCS92Xt2rVwdnaGi4sLJk6ciFGjRmHy5MlwdXXFgAEDMGrUKAwaNAhDhgzBsGHD4OjoiH79+qFfv34YMmQIevfujW7dumHQoEEYMWIE/vnPf+K9997DW2+9heHDh+Ott95Cr1690L9/fzg6OuLll1+Gs7MzJk+ejNGjR+O1117D4MGDMW7cOHz22WcYNmwYBg8eLA1wv379MHToUHz66acYM2YM3N3d4erqCicnJ/Tr1w+Ojo6YOHEipkyZgnHjxsHZ2RlffvklnJyc4OjoCHd3d3z00UcYPnw4Bg4ciA8//BDjxo3DiBEj8OGHH2Lo0KHo06cPHB0d0bdvXzg6OmLUqFGybIMGDcLw4cNl2Z2cnODq6ooPP/wQ/fv3x6RJkzBmzBh4eHjIPI8bNw6jR4+W5RozZgxGjhyJkSNHwsnJCc7Ozvj444/h6uoKT09PODk5yfe4ubnB3d0d48ePx6effopRo0bJgzI9PT3h7++PKVOmYPjw4ZgyZQqWLVuGkJAQ9O/fH0OGDJHlGD16ND766CP06NEDI0aMgIeHBxYuXIjJkyfj3//+N5ycnDB58mT0798fEyZMwMcff4y33npLntHGvQakD4xID+mLnJwc/Otf/8Ly5culDszOzkZmZiZiY2MRGhqKlStXIiQkBBs3bsSiRYsQFBSEsLAw2U+++uorzJkzBwsWLMDixYuxefNm7Nq1C/Hx8di0aRN27tyJrVu3Yt26dVi1ahV27NiB9PR05OXlYceOHQgLC8OOHTuwbt06SWSpT8XGxkpbRv0vPT0dqamp0q5kZmYiLS0N8fHxCAkJQWxsLBITE5GcnIy0tDRJqmNiYpCWlobt27cjPj4e27dvx9y5cyXh3LZtGzIzM7F+/XrEx8dj79692LZtG9LT0xEdHY34+HhJkuPi4pCcnCxtbVxcnNQ1ZMsiIiKwefNmaVNzcnKwa9cupKenIycnBxkZGUhLS5N1lZiYKHVGVFQU1q9fjyVLlmDJkiXYsmULUlJS5P2hoaHYuXMnRo0aBW9vbznQV7367Y70EDPlXhYhBM6dOwd/f3/Z6YYNG4ZPPvkEw4cPx+DBg9GjRw/07dsX/fv3x6BBgzB+/HiMGDECkyZNgp+fHwYMGIB+/fph1qxZmDp1KqZOnYohQ4bg008/xdixY7FgwQKMGTMGAwcOhLe3N4YPH47x48fD29sbLi4umDRpEj7//HN4enpi9OjRcHJygre3NwICAjB79mwsXLgQS5YswdKlS7F06VIsWbIEK1asgJeXF9zd3bFkyRLMnz8f/v7+GDNmDBwdHeHj44PPPvsMkydPxhdffAEXFxdMmDAB//nPf+Dk5AQ/Pz8sWbIE//nPf/DFF19gwoQJ8PX1xccff4xBgwZh8uTJ8PT0xJgxY+Dp6YnJkydj7ty58PDwwKxZszBt2jTMmDED7u7u8PT0xBdffAF3d3e4uLhgypQp8PPzw5dffgkXFxe4ubnBzc0Nvr6+GDduHGbOnImPPvoInp6eWLZsGb766iv4+Phg/vz5CAgIwOLFizFz5ky88cYbePPNN+Hm5oYJEybgk08+wejRo2WdfvTRR/jss88wceJETJ8+HZ999pnMz//93/9h2rRpCA4OxsiRI/HOO++gX79+mDp1KiZOnIhp06bJ9EaMGCGNzT//+U+EhITYnN7i8sRHCOTpiYuLQ/fu3eHm5obBgwdjwoQJsvzTpk3DlClT4OrqCjc3N3h6esLb2xtubm7SILm4uGDAgAF477334OnpicGDB2Pq1Knw8PCAo6MjXFxcMHbsWPTq1Qs9e/bE559/jjVr1sDf3x8DBw5E3759MWnSJMybNw+zZ8/G5MmTMXnyZEyZMgXu7u7yt5ubG1xdXfH5558jICAA/v7+mDdvHpydneHl5YUVK1Zg0aJFmD9/PpYtW4Z58+bh888/h4uLCyZPnoypU6fKdD08PODl5QVfX198+eWX0jh5e3tj3LhxmDBhAj788EOMHDkSy5Ytw/LlyzFs2DD4+fnB19cX3t7e8Pf3x4QJE7B69WpMnz4dHh4eGDNmDFxcXODj44OVK1fC19cX06ZNg6urq1U5iJx4enpiwYIFcHV1lX1q8uTJWLBggZSJuXPnGsYeXLlyBfHx8YiJiUFRURFSU1ORnZ2N3bt3Iy4uDklJSYiLi0NoaKhUolu2bEFoaCiio6OxdetWrFq1CpGRkVIZk7ImcrZz505EREQgLCwM27dvR1hYmPx/6dKlCAwMxNatW7F161aEhoZKb058fDyioqIQGxuLhIQExMbGIjk5GQkJCYiKisLWrVuxbds2REVFISYmBuHh4di5cyfy8/ORkpKCuLg45ObmIj4+XuYjNDQU+fn5yMrKQlRUlBzghIWFyfSIcO7atUsOlmigRwQ4MTERqamp0osTGxtr5cXZtGmTzC+VJT4+XpYtLi4OWVlZ2L9/P5KSkhAWFobw8HBJxMkzFBUVhX379qGgoAB79uyRp4EnJSUhNzcXx44dw6VLl5CWloYdO3YgIiJCtk1YWBhCQkKQmpqK4uJilJSUyLrZtWsXkpOTER4ejpycHOzZswepqalyeoqf/s6Nnzryp+uXL1+WgyrSa+RRmzZtmiRxAQEB+PLLL+Hs7IwpU6Zg4cKFmDNnDqZMmYKJEyfC09MTU6ZMwciRIzFkyBB4e3vDz88PTk5OUm+4u7tj9OjRmDx5MmbNmoUVK1bIPunv7w8fHx/Zx/z9/WV/9/Pzw/Tp0+Hn54e5c+diwYIFmDNnDpYuXYrly5fLfk/XQkNDsXHjRsybNw+zZs3Cf/7zH3h4eEjbExAQgPnz52P69On49NNPpQ2bNm0atmzZIj2FW7duxZQpUzBr1ixZxkWLFkn94e/vL/Pt4eEBFxcXTJs2DQEBAQgICMCMGTPg6+sLLy8vLFiwAPPnz5c74C9fvhzz58/HjBkz8OWXX+KLL76At7c3vLy8pE2ePn06nJyc8NFHH2HChAnw8/ODi4uLJPGenp4YMWIEYmNjpbeML6RpV6RHZef8O00HffPNN0hOTsaKFSsQGBiIlJQU5ObmYuvWrfD19ZXCsXz5cmzYsAGbN29GfHw8cnNzERkZiYiICOzbt096DAIDA5GWlobs7GykpaVh0KBBmDVrFpKTkxEcHIyNGzdasWzydNDIOSMjA7m5ucjPz0dBQQGKiopQVFSEwsJCFBYWYv/+/UhNTUVsbCz27t2LwsJC7N69G7Gxsdi0aRNycnKkssnPz5f/79u3D2FhYcjMzMTevXvlaH737t3Iz89HQkIC4uPjpfclKSkJWVlZyM/PR1FREbKzs5Gbm4vt27cjKipKKili2uSdysvLQ25uLtLS0pCeno60tDTs2bMHeXl5KCkpQVJSEhISElBcXIzMzEzs2rUL+/btkwptz5496NatG+677z7JxqOiopCRkYH8/HyUlpYiJydHekays7ORkJAgPV+JiYnIycnB119/jaSkJDniyczMxJ49e1BcXIzdu3cjNzdXGi1y/Z85c0YKOic9JPRc6akoKyuT5c7IyJCjj8zMTCt3fWpqKvLz83HgwAEUFBQgNTVVysLy5cvh4uKClJQUWf/p6emIiIhAVlYWMjIysGnTJmzYsAG5ubk4fPiwlA3y+lG7UrrUNhxpaWnIzc3FgQMHpDHIy8vD3r17sX//fpleQUEB9u3bh+zsbPkslSUzMxP5+fkoLi7GwYMHJUpKSlBaWort27dLg5meno6ioiLs378fGRkZKCgoQF5eHnJyclBYWIi9e/eitLQUeXl50guZnp6O3NxcFBcXy1GoWgYafWZnZ+PQoUPYu3cv9uzZI/NdWlqKwsJChIaG3rBpnL2pMnUqUI1N4VPnlKY6FWlL76jxBRQ7xOVLnZLkeVGnVfn9XLep1+g7n8KkTyPPpjo1avR+NX3eT5pLx2ialeeTEw2j7/zd6j2qR8YoTECdvlCvqTE8KlQbI4TA1atXcebMGezZs0fKdmFhoZy6zMvLw6FDh1BaWoo9e/agsLAQR44cQUlJieyHR48eRWlpKbKyshAdHS31VkZGhnymoKBAek6pD5LN2L9/P0pLS3H48GGp68ge5ebmIi8vD8XFxThw4ACKioqkjSkuLpa2pqSkBCdPnsS5c+dw8uRJ7N+/H3v27MHu3bulTiotLUVpaSkOHjyIAwcOSD2RlZWFffv24dSpUzh06BC++eYbHD9+HHv37kV+fj527dqFrKwsFBYWSltB/Z48Y+np6cjOzkZBQYEsD+mqoqIi5OfnIyMjA7t370ZxcTEKCgqkTs/KypKgdA4fPoz8/Hzk5OQgJycHWVlZiIyMxLJly5CYmCh1RkVFxQ3T5O1uesueseKdiBQXn19sbLwW8EdxIDx4juY16T182oyWtlosFixZsgRTpkzB+fPnZUwNX7lipJxUT4JRJ+eKih93wFctqbEn1JgqGVQVjJECpXlVegeNkvmW66qyUq/xZaI8+I2UEtVrdXU10tPT8ac//Qk7duyQz/MASTVuhc8Jk8JqaLgWrM6DoNXAXD5nrO7Loio2e/Jkq63ouzrfrD7P24dvlMmNG49VoXakgDujulfbviVQjZqRobDX3vy+srIyq7yr7cZ/q9dtGVuj/9WYOKP80Eotajs+hammo6atBuaqdcBlwKgctvqvGjTK5cdWbJwaO6f2T7X91Fgsep9aRiMdwPOg5kf9zcvO+4OtujTKLy+7LZJlq2z25FPNh1qXaj/lRq6lpEe9t6X9zVbfUXWErfLdTN++FRiRdJUs2usXzZXPqG1t5UWVLyMb2VzdchtPtsyWvVMJbYcgPWql8w7BjaLRKIavkqLf6lLQmpoa9OnTR254RAGffDOwpibr5X6UllEDc+VEnZbeo+4uSg1M6XPjYqTEubDxshjVCVcaPODLltGgfFDwcUPD9VVdfDUDBcGVl5ejvr4eM2bMwMCBA3HgwAE0NTVZ7VHCy6ZuM8CJDe8cPKqfL1vl9aEqm+ZIDx/xG9Unzwtf7WNkxPgqNaOltlQevjqFVuCogXxGxqUlRILnR1Vi6iounq5adgq2pP7BBwpqcCJvB6N6tJUfW8a4OePGBzpGbW6rje8kVC+CmpeW5KklRrsleWjpO239b+QRsZdmc9da+kxL0mhJuup11SumPmuPoBhd47rYnjwbEUWjvm1EMuzd01IY6QYqr5F9sJcPelbVK7ZsCOk9TqaM+roReeL/c8cFtZuaJ8qXrb7Q5klPc4RIFVIjYsHvsTW6oUriFVhWVobu3bsjMTERAKQbm0f1c4GhyuUNohpVUtQWi8XqOTLqlBchjM9+4cafl4v/z9PjrJgLGhdUXo+8fiktepe6ORcZQaozqj8icJcvX8bixYvh5eWFQ4cOWdU/7zQ8D3w029TUdAN5U9tcJU72FL8tqJ1f7TxUL/R+XpdclojANjVdjyfg9c0JBfeaGRl0LstGbdNcnzAyeipBoO/qPSTDvI14XXBFpZK15vJnSx8Y5UdtG/4Ote5upo40NH4oqP1KvcZ1hpE+siX3P1Zeb0c32HvWnt7ldoRsm2q3bRFV+lR1P3/nzZalpWjzpIcLmVpoXtF8xE33qCdo014/KSkp+PDDD+Uuv3z/Hj4NYzTqtPVdCOvdKqkxiQDxa3wDKrqHyqOSObUe1N+cLKlCxQXKqH6NyAYXUp53btDNZjMuXLiAiRMnYuDAgThy5Ii8R01X7RCcKPB643Wgbk6mluVWSY8tI6t2IpWIqm3U2NgoN0ij/4yWzKvKUh213ExZmsun+i5bio3qVQghvVd8Dyw1n/x5NU9G/Z+uWSwW+d2ItNiqB5IP3nZ3wnBoaHAY9S2jvkb3c7nnz99p0mPPPjWnG4z0ir2yGNlprm/Vfm90v/oOWx6rlpSlpWjTpEf1PnAjTBVLz/AKoOdojxVKi84ZoZVH5Enge7XQ+1VPAPeuqA3AnzHyNPF0VO8AZ8W2hIHKp466VQ+XKsS2SA+vL1WI+LspX0IIOQVIpEQIgaysLDzzzDMYP3683PCNP0MESa1XlRCo7k8+zaWSnpsRdKMOzAkQAEN3rdqmRFR5Xvi0JbUpvYt7CwHcIE+3SnrsKQH1Hn5dJe98aovyy/OmkjP6zhW7PUJEz6hlba6Pq95CTXo0Wguq7PEBAx9A0f8ArPrknSY9XDeogxb1HlvX7ZELW2VR9SqvK9WGqe8wGtRz0mPr3bZck6LdAAAgAElEQVTK0lK0adJji0GSMVUVq1rhfMTIp3769OkDf39/CHF9CZwau2A0XUOGTVXkPL/qM+qIll8z8vbYMtI8HU4c7Hmk7BlWlUyoHVv9j+/iy+ds169fjxdffBFz5869YWMt/n5+jZeL549PC6ok8FYUCX8XbxM+TWkUW6N2NB7jpE75qUTCYrE+QNJIgfJ2vxXS05wM2iI9qiKhvNhTnPxee33T1v/NkR6jvk15vR3FpqFxOyC54zLJ+4aRQeb/0e87lddb1Q0tedZeP+S6hesSVcepeVFtg6rjuT5taVlaijZNemwZOpUk2AInDOR9OHHiBPr374+IiAgIcX3XTtoZ2Sgmgzdwc+9Thd7eM839TzCaKmkJ0bFlcFThUevcKD119RnVa1VVFdasWYP3338fycnJkhjRzr5ceagBb2qn4ITEVqe7GUE3SsOog6npq9e44lP/s6Xs+LvV+r0Vg96cjNhrczVfRrLVnPzYUj5Gv1sig7aep++a9Gi0Joz6h70+rfYhft+dyuut6oab7etG726JXm1J+vRsS+z7reqGdkF6WlpZRqDAU9rKf+fOnRg5ciTOnDkDi+X6qcT0P2erLc1Dc/ffqmDeLux1vJvNnyrgFov18R6bN2/GlClTsG/fPqszZ8jbZrST5s3UFc/3zcgRT8/W99up25b8b69Mt1MeWzKopmsrD7dSB83Jj7333I6yvhPGQ0ODcLu6gK7dyfyq+TC6bpSvlj7b0j5srz5uph5t5ft267hNkh61MDercLkXhIwvkRraoZkMMV/BRGnYcsvbq2B7hkFtMHv/G11vLt1bEQZ7HcBevfJPs9mM8vJyWCzXyOO6deswadIkfP/99xDi+hk5QghJhNT6tfVue21/q4qgOVlqriM21wnt1X1L2v1m+oQ9GTR6n1FZm6sjW4rOllzaqtOW1MkPVUcaGj8EbOkL9Z7m7NKdzq+9/+3p/JbWRUvrqSU6xF46LbG1t1rHbZb03E7jE+nhB5HSp7u7O1avXg0hxA2rVlRPRGuXpa1Bjfng+xjV1NTg0qVL6NGjB1avXm21mk4IIae3eDqtXR4NDQ0NjZ8WOjTpIS8PkZuysjKMHTsWoaGh8n8hrLeq5zEnrV2WtgbV20Okhwc4b9myBf369UNsbKwVoSRPGk+jtcujoaGhofHTQockPQQyxORxOHHiBIYMGYKYmBgAkMFS6n4+mvTYrlt1JVR1dbUkjbW1taipqZEHj549exZCiBtIjy33qiZCGhoaGho/Jjok6eFTKjQNI4RAUlIS3n77bRw8eBAAbjhGgJMebYCN65YTSiKLnFw2Njbi8uXL8Pf3x/Tp03Hs2DF5f0tXB+m619DQ0ND4MdBhSQ8ZYCI1ALB27Vq89tprcrqLn/XBp14ondYuS1sDJySNjdcOJxXCet8Z2hrg5MmTmDdvHtzd3eUJueqydV73FGiuSY+GhoaGxo+FDkl6iNCQMSUPg7+/PwYPHgwAVt4dWytdWrssbQ0t9dKYzWYAQHl5OUaPHo3Vq1ejqqpKLm8nUkrTYnS2lfb0aGhoaGj8mOiwpIfHnAgh8P3336N///5YsGABANwQY6KSHW147detEchLZjKZZOxPXl4ehg0bhtmzZ8uTu+lID2oD2itJx1NpaGhoaPyY6PCkh/aJycnJwUsvvYQ9e/ZACGG486/Rp8aN9cvrWa1z8vRUV1ejtrYWdXV1CAsLw/vvv4+srCwZC0RTXfycKr1yTkNDQ0Pjx0SHIz3qXjL0fcOGDXjjjTdgMpluOPRS44cBJ5s1NTVyObvZbMaqVavg7OyM0tJSOZ1FpJRvdqhJj4aGhobGj4UOT3poN2Zvb2989NFHEEJYGdrWzm9HgrpxIQU7NzY24vvvv8ekSZPg7OyMY8eOyd2aKcBZPancaFm79sJpaGhoaNwOOhzp4fElZESrq6vh4uICHx8fCCFkDIk2nj983RNhoakrPo21f/9+9OzZE35+frh69ar0BtFxIeqWAWqAuSY9GhoaGhq3gw5HevjGebTj8tmzZzFw4EDExMTIPWU06fnhwUkLeW7Ik0NL0sPDw/Huu+9iz549aGhowNWrV+UKruZOpNeruzQ0NDQ0bgcdmvQQucnMzMSbb76JiooKq/O2tPH8YaHWKycqtDlhVVUVFi9eDDc3N+zbt0+2B02L0XN8vyRqT726S0NDQ0PjdtDhSA/3CtAuwZs3b8Ynn3wCIazjebTx/OHrvrkl7Q0NDaioqICXlxccHR1RUFAg24XSMAo010vaNTQ0NDRuFx2W9JDnoLKyElOnTkVQUBCEEDLAVhvPH6/++XcVVP/ffvsthg4divHjx8NkMsndnXnbqQHNtoKcNTQ0NDQ0WoIOR3r48mchrm1K+PLLL+Po0aNWwc3aeN5ZqMSnvr4excXFeO211xAfHy+9cuq9agCzbjcNDQ0NjVtFhyQ9QlxboQUA+fn5+H//7//JTfG4l0cbzzsHHpvDg8znzp2LDz/8ENnZ2dILpD5nFODc2uXR0NDQ0Gh/6JCkh4yrxWKBn58fPvjgAwghUF1drY1nK8EoILmxsREVFRWYMmUKhg0bhmPHjskAdN6e1JaarGpoaGho3A46HOnhhKahoQGvvPIKZsyYASGuBcuSJ0EbzjsLTnSIxNBU49mzZ+Hm5oZx48bh4sWLViexqyRWkx4NDQ0NjVtFhyU9TU1NqK6uxhNPPIHNmzdDCCE3y+P3tXZ+fyqgaUeawqIl7GazGQ0NDTh8+DDefPNNzJo1CyaTCXV1dXLLAR6LpdtNQ0NDQ+NW0SFJD3kDTpw4gYcffhhFRUWwWCyora2Vxld7DO4sVI8NnbNlNpvlqexbtmzBsGHDsH37dityRIHPmvRoaGhoaNwOOizpEeLa7r+PP/64PPSSb4SnSc+dbxdOWMjDY7FY5MGkNTU1SExMxNChQ7Fz5055hAXfaFKTHg0NDQ2NW0WHJj3u7u4YNGgQhBDSy8MNqN6n5862i7pJIcVYWSzXzkcjcrp48WK8+uqryMnJuYHwaLKqoaGhoXGraLekx94meBSs/MEHH2Dnzp1Wm93pHZlbr734HkoU0FxTU2N1MnttbS3Onz8PFxcXjB07Fl9//bVsO+6hs7WPT2uXU0NDQ0Oj7aJdkh7V0Bkdd1BbW4t//OMfuHjxogxepikuIXRMT2u0Gd9DiU5Vp4NGhRBy/x6TyYQLFy7AxcUFHh4eKC8vt1r11Rxau6waGhoaGm0T7Zr02CI8QggcPnwY3bt3twqCpRPWhdCkp7XajAcm8+0D+BL2mpoaNDY2oqioCG+//Ta2b99u1Waa9GhoaGho3AraPekRQlhNX5EhXbNmDZydneW0iXqCtzaQrdNmDQ0Nsi2M9uKha7Rjc0BAAP7973/j9OnT8hkem0Xty9/R2mXV0NDQ0GibaHekRw1m5bv88t18J0+eDD8/P6v/eGyINpB3vt1aAr5xYX19Pc6ePQtXV1dMnToVhYWFcuqSPslzpNtUQ0NDQ6M5tFvSQ7+JyAghrKZNhgwZgqCgIOkF4Oc96amQOw9bMVj8GrUTeXCI1Jw5cwY9e/ZE79695Sov2neJAqH1NgQaGhoaGs2h3ZIedQkzGcGmpiacPHkSr732Gvbu3SsJES2R5s/o1VttA7w9iLTS7tlEaiIiIvDcc89hzZo1MJvN8r7q6mrU1dVZEZ/WLo+GhoaGRttEuyM93EDyQFgiNUIIhISEoFevXigrK7OKG1FjSLSBbBvgq7eoDfmmhGazGXV1ddi+fTteeuklJCQkyI0L6T/dphoaGhoazaHdkR41/oNG9zwIdujQoUhMTIQQAhUVFWhsbAQAK0+ANo5tB3x6CwBqamrkkna+t1JTUxPS09Px+9//HtHR0QAgl7iTF8/WtJme9tLQ0NDQaJekh6/2oSDWpqYmGbPTs2dPZGdnQwghlz+r3iEd/9F2oG45UFdXJ5ev0zQXkdpTp07h008/hYuLC86ePYv6+nrU1NRID5G9mCHd3hoaGho/bbQ70iOEsPLW8BF+XV0dqqqq0KtXLxw6dEjeo4KuayPYNsAJD52+zoPT+ZYEQgiUlpbi+eefR0BAgJwS4x4hWsHHl75r0qOhoaGh0e5ID/f0kAeA7+wbFRWFTz75BBcuXIAQ9je0a+3K17jeps2Bx/00NDTA19cXf/nLX5Cbm4umpiY5JUZeH4rzqa6u1svZNTQ0NDQgRDskPTxglU9pmEwmAMDw4cPh4eFxw87LmvS0XbR0Dx8iuQ0NDfjuu+/w8ccfo1evXjhx4oQkO7W1tXK5O58C1UHOGhoaGhrtlvSQd4ev9qmrq8PLL7+MjRs3ArgeuGwrzqO1K19DWLWFUfuopKe+vh4mkwkWiwWHDx9Gz5494evri6qqKhn/QyTHYrFYneSu21xDQ0Pjp412R3r4iL2hoUEaQCEETpw4gVdffRW5ubkQ4voxB61dyRq33+aEK1euyE0JhRDIzc1Fjx49sHTpUpjNZunxocBnvjdTa5dDQ0NDQ6N10W5JD5+6oKms7Oxs/POf/0RJSQmE0KSno4Da22w2o7KyEvX19XIrAovFgkWLFuHFF1/Exo0bUV1dLTeq5B4eNa5H9fxoOdHQ0NDo+GiXpEddfk5TXKGhoejRowdOnToFITTp6SjgpKehoQHV1dVW526dP38erq6ueOGFF5CWliaXvdOUGE9DlQcd56WhoaHx00G7JD1CXD9Z3WKxoLq6GkIITJ8+HWPHjpVTXnpZescA987U1NTIIyh4YPPx48fh7OyM7t2748CBA1YH0BoFRfPNLDXp0dDQ0PhpoF2SHiI0RGqI9AwdOhSzZ8+WRk0bso4BTnq450bdy+fo0aPo0aMHJk+ejPLycqs9etR9mmillxro3tpl1dDQ0ND48dAuSQ83VA0NDWhoaMDVq1fRq1cvbNmyBUIIucmdNmTtH/ZWdHHPTW1tLXJycjB8+HDMnz8f5eXlNyx15/FgdK6XPrdLQ0ND46eBdkd6hLDekZm8PHl5eejXrx8KCgoghJA7+GrS07GgEh9OWGhDwoSEBLz00ksIDw+HxWKxOseLkyAhrMmxJj0aGhoaHRvtjvSohq6qqgpCCKxevRpjx45FRUXFDfvztHYla/x44ERGiGtTXfX19ZgxYwb+9a9/4cSJEzLgub6+HkJcP82dH1irZUVDQ0Oj46PdkR5OeBobG+XhlF988QUWL14MIYTVDrzakHVscNJDXh0hBCoqKtC9e3dMnToVQlzfvJJivTjxsbWsXQi9lF1DQ0OjI6Hdkh7akVkIgWPHjuHjjz9GUlISAFhtSKeNVseGeiwJtX1dXR1iY2PxxhtvICMjQ95TU1MjvUI0HWZEevQO3hoaGhodD+2O9HBjRKQnKioKH3zwAY4dOwYhxA3LlFu7kjV+XHkgskIbVTY1NaG2thYmkwkzZsxAz549cfDgQQCQB5MKIWSsT0sIj5YjDQ0NjfaPdkt6KHBVCIEFCxbgvffeQ2VlpQxS1cGpPw2opIVWZQlxLXbnzJkz+PjjjzFkyBAcOXJETonyfX64LPFNL/Vydg0NDY2OhXZJeij4tKGhAXV1dXBycsLHH38MIYQmPT8xcLJDbU2khchKfn4++vbtCzc3N2RnZ8NsNksvD5Ef2vCQYn2EEPKaJj0aGhoaHQPtjvQIYT0aP3LkCF5//XUsXboUQlzfqE7H9Pw0wAOZOenhU5wmkwl79uyBs7MzunXrJld0URA8gc7t4geW8tVdrV1WDQ0NDY3bQ7sjPURmaAojMjISf/nLX3DgwAF5TAHfx6e1K1jjx4WRp4cIjRrkvHv3brz66qvw9vZGWVmZnA6ls7woyJkTHU16NDQ0NDoO2i3pIU/P3Llz8dJLL8lRu2rstLHq2DDapJDvvkwE2WQywWw2IyoqCq+88gqWLl2Kuro6ueKrrKwMVVVVqK2ttZr20tNbGhoaGh0HbZL02Fo1ww2cEELG84wYMUL+Vkfn2tvTsaGuvOIeH/qfgperq6tRV1eH+fPn4/nnn0dmZibq6+uRmZmJefPmISEhAY2Njaivr0dVVZXe70lDQ0Ojg6HNkh57aGxsBACcPn0aPXr0wNatWyGEkFNbmvT8dKCSHk5QuCw0NDTIA0avXr0Kd3d3jBo1CqtWrcJ7772Hxx9/HMOHD4cQApWVlaiurpbncmnSo6GhodEx0KZJDz8VWwhhtZtuU1MTDh48iG7duiE/Px9CCNTW1lptTKiN1U8DvJ35J01xkfeGyA8A5Ofn49lnn8Vjjz2GLl26wMHBAc888wwqKythMpkMd2xu7XJqaGhoaNwe2jTp4Sdhm81mubSYYi2Kiorw1ltvydU4dI+O6flpQZ0OVb0+JBtCCFy5cgXp6elwdXXFAw88gM6dO6NTp05wcHDAb3/7Wxw5ckQeZEvB8pr0aGhoaHQMtEnSowalms1m1NTUSANWU1MDIQTS0tLw9ttvo6mpCSaTCQ0NDVZLlzXp+WnAFunh5IeWsO/fvx/9+/dH165d0blzZ3Tp0gVdunRBp06d0LVrV0RGRkIIIWN69GGkGhoaGh0HbZ708NH61atXcenSJZw/fx5msxnr16/HyJEjIcR1I1VTUyOnJDTp+WnAqI1Vbw+t7Dt9+jQmTJiAp556Co899hgcHBzQuXNn3HffffjZz34GFxcXCCFgMplkDJAmPRoaGhodA22S9KhLkMlgbdiwAePGjYOnpye2bNmC3r17w8vLC0IIObVVV1dnNcWljdVPFzyQnQcyHzp0CCEhIQgICMALL7yABx54APfeey8cHBzw1ltvoby8HLW1taiurtZypKGhodGB0OZJD8Vj1NfXw8PDA3fddRd+8Ytf4Nlnn8UvfvELvP/++9i9ezdKS0tRXl4u9+vRZyZpcNJDcTp07lZTUxOuXLmCqKgouLi44G9/+xvuu+8+/OEPf0BRURHMZrMkPdpjqKGhodEx0GZJDwUy0/lHQgisXbsWP//5z9GpUyeJBx54AN27d4ejoyMKCgrkkQLqnj4aPz2oHkPajJDINAXFnzlzBpGRkRg1ahTef/99FBUVydgx7enR0NDQ6Dho06SHRtk0Mt+3bx8eeOABdOrUSQaf3n333XBwcMAbb7yBo0ePWi1PFkIfRfFTBpcjfgipejwFfR45cgRpaWmoqKiAENe2QKivr5fPtXZ5NDQ0NDRuD22W9KjLzmnk/eSTT8LBwQF33XUXOnfujHvvvRevvPIKtm3bJuN/9CnrGiRHRpsWcs8NEWsiPyo50p4eDQ0NjY6DNkl6ONGh3Zdpz5ShQ4firrvuQpcuXdC5c2e88MILiIuLQ1lZmZyu0IHMGkI0v7O3GvfFT2c3SqO1y6OhoaGhcXto06SHPDY0EhdCICYmBg899BAcHBzwm9/8BoGBgVaeIDpniS9bb+1K1mgdGHl2+HX+n9H//LomPRoaGhrtH22S9KjTEbRBoRAC5eXl+O1vf4u77roLPj4+KC8vh8Vikau26H4dyKyhoaGhoaHB8aOSHnV0bDRNYG/KgZ+YzeMtBgwYgF69euHcuXNW+/Pw85boGXUk39zoX73X1m6/tvKuXm+urEb325uCsVWX9rwTN5uG0f9G99qqW6O0bF1raXntlael9dicvN1K/Td3r73fLcl3S8rbEtkyaoOW3GurbZtr31uRnebKcjP91J68aWho/HTxo5GelhgWW/cRaeFByRSkLIRASkoK8vLy5LQXkR4hhDyOork83Cm0lXy0Vjmak4cfu35+yPRvJq223O4/VN7aQxlbW8FqaGi0LdwR0qP+NoLqleErZ/hBojTVBUB6fhobG9HY2Ija2lqYTCa5T486zWVPOdr6/4dS7kZptPRac+nyZ3g5bH239w5b/xmdNm4vH81dv1l54Nd4ekZp82d5vpuThVuFvfRIju3Vz4+Rh5aW0ahOW/LfzaarbvBo79mW3tOSemhtBauhodG2cEdIj9FZWnQPXaPgY05uaPUW32yQL0e3WCxytRaRHjqGwmKxoLq6Wr6DYoLIAJnNZkmWLBaL3NuHrglxnUxRHvmeQVQGnk8egE1pqsZPTYvXD+VBNdqUPq9TNV9U73V1dTekR8HdPH+Ud/VdavvQe6uqqqye53VHzxkRDCN5oN+qDPCgddoYkK/G4xsLqnknTyB90jWSAU6EaZUfpUHyQp+8bDx/tuSay6yaL9pNnP/P5cOofXl98nbi7+H1QPLMZYc8nzweTpUtqlMjOae8q++k51TZVWWSp0u7qvN3UnlUGeLlVT/5e/lKO95n+dEhOp5PQ0NDxR0hPaTkjJQmKcS6ujqrIwLMZjNqa2vleUlCiBsUoRBCnsulGsimpibU1tbKe2hqjPJRW1uLxsZGK+NKipqnRUZDNTz0n+qB4nng7+QryqjcZHw5yeOGhp4jo6kaCTKc9AwZO0qP/2c2m+V3KjPPPxlg/i6LxYKamhp5bhXdX1NTYzX1SNOLdK0lo3a6j/7jhpfalF+neqX/VGPKy8rrlssGtRGRKrUuedvR/arhVQkKJ1t0Pz+dndKsqamR7+SyYzKZrIgYyT6vS/pOz/N24wSX3sWne+k56oecrPB2r62tvUEma2trZT/kcqISPnqOyDW1Q319vXyW17/JZLKSUbWP8e+8X3HZpDriEEJIkqtJj4aGhhF+VNLDFSM3FGSgyKhzg1xWVobS0lIrAmDkkWlqagIAq5EsPxWb76RLBoAbXDKGfDqMH1ZK+eJGlnsbyChQ2mQQOMHgo1NeB6px5Z4obrxUAsR3mlYJQnV1tZUx5IaVkwTVGPFRNydnRIxqampk3qhcvGxEjshA8lG2SnpU4ku/AViN3k0mE86ePYt9+/YhJycH+/fvh9lsxvnz51FbW2tFHshAEnHmRJdPg1L6dJ9K0LgXiX4TVJkhY83T5HVLRJF7WKqrq62MNpWf6pnO+qI8UDtwosa9J3wnaYph4ySF6p7amntYVILJiSzlnQgvEQq6v6amRsoflYeTbiJxQogbCDvlj5NCKhO9x4hscuLe0NBgJeuccHKvm0q6NTQ0NIS4Q6SHjyiFEFbGmYhGQ0MDAOD06dNwd3dHfn6+lfEmT4M6EuQjYVKc3CCr7n16jgxBdXW1/M7T4caf/udkRR2d89EqV8Z0D1fIqqdE9SzwUbPqaeDEkd5JxyVwY8zrgv7nXjbVA6KmRfXN65MIg+rdIAPJvSf0jJE80DWeDpXr6NGjWLhwIT777DP06tUL7733HhYuXIi6ujocPHgQoaGhsqy8bjjZVEker2O1bLyOeL2p6ajtz+8heeHkpLa2FlevXrXyTvFn+ScRBVV+uFeHkxMuf1VVVbJN+PspbfWQVZWEUzpEyohQAJAkpa6uTr6XSCURM7X/kfxwMkT/Xb161WqQwIkczzPpCE6uq6urpYxVVVXd0PacxPGBSWsrWA0NjbaFOzK9xQ0HKVo++uYelMrKSri7u2Pw4MG4cOGCVNg0JWEUC1FbWyuVNT9UkowBKT/umaD3ktEigyaEkFNtNPrmhIEMkNFxF0beFnVkzZU95YXyxwkFN+ScLKhTG/Sbex147ASfmiKDwMurEiF1SozKTvdyQkbtzAmgWickD9zrR9cpb/wdS5YswdNPP42ePXti5MiRGDlyJJKSktDY2IgrV66ge/fuyMvLs2pDdYRPxthiuRbXJYSQ0yrc0PP6oOucnJCMcg8PrzNeP9wjQe8jGeLkicrNBwGUL5XcUrtxWef9gX+q3kSqA/4/75ecCHI5o/Lzd1F/4HKgvpMTaF5u8hRSeTjhIyKjlpv3E5IV6oecuHIvnTqAUEm3hoaGhhB3MJCZrnElfPXqVRw6dAinTp2yUnDFxcV44YUXsG7dOqtRODdI586dw/nz53HhwgU5kqYRIHerHz9+HMePH7eavjh37hwuXrwIi+VagC4p8QMHDkgDRKNqs9mMEydOIDc3F1evXrUyTmVlZaisrJRl496C2tpaHDlyRKZvMplw5MgRXL58WT5fXV2NqqoqnDlzBhUVFTCZTBDi+ii6sbERJ06cwOHDh+V/3LiSZ6SwsBAWiwWXL1+2mprgZOTw4cM4fPiwTJvq8ty5cyguLsaJEyekoaioqJBp8RH3hQsXcOHCBVkHJpMJly5dwoULF5CRkSFPuTeKqeDkhAyw6gE8fvw4hgwZAk9PT6xZswYJCQk4c+aMFUmeNGkS+vTpg4qKCitvTkNDAy5evIjo6GjExsbi0KFDqKqqkm1BU1/nz59HQkICjh07JstBUzZU/lOnTiE/Px+FhYU4evSobNfKykqcO3cOp0+fll6c06dPIzc3F+fPn5cyd+bMGSQmJiIhIQEmkwk1NTUoKSlBQUEBvv/+e9n+hw8fxuXLl1FTU4MrV66goaEBZ8+exZ49e3Dx4kUr78c333yDgwcPyuvUhocOHUJBQQGuXLmC8vJyXLp0Cd9++y3q6upw5swZREdHo7S0VHpJqL2ItFZXV6OkpAS7du2SdUJTXA0NDSgpKUFoaCiOHj2KiooK2Ybc03fmzBlkZ2fj4MGDKCkpkc+bTCaUl5fj8uXLSE9PR0JCAo4cOWI1FWgymfDdd9+hoKAA3333HSwWCyoqKlBSUoIrV67Ifm82m5GXl4eUlBRcvnwZ9fX1uHDhAk6ePInKykqcPHkSRUVFkkSpXkUNDQ0NIe7gPj1CXDcqjY2NKCkpwVdffYVBgwbhs88+Q0pKipV7f+LEiejWrRtMJpPVvD95VCZNmoQFCxYgLCwMwcHB+O6776xGg0SORo4cCRcXF1y6dAlCCHz77bdYvnw5Dh06hNzcXEyfPh0bNmzAwoULMWjQIKxYscKKqISFhWHz5s2Ii4tDQEAA8vLyAADHjh2Dj48P4uPjIYRAQUEBZs2ahezsbDQ1NaGwsBCffvopcnNzIYTAoUOHMGLECOTk5ECIa+gg1O0AACAASURBVJ6A9PR0pKamYsOGDfD29saBAwcgxDWPz4EDB3DmzBmUlJRg7Nix2LRpk5XXgkbeW7ZsQf/+/VFcXIwNGzZg1apVuHLlCqqqqrB27VosX74c8+bNw4gRI+Ds7Izk5GRZRzExMUhKSkJiYiLc3Nywd+9eWCwW5OTkwMPDA1lZWRDiWlxIWVkZPD09sXbtWkmENm3aBH9/f6SlpaF///5wdXVFVVWVVVuTPJARIqIhxPWds0kmEhMT8ec//xlBQUEIDg7GV199hZUrV+L48ePy3tzcXNx3333IzMyUngmKhdm5cydeeOEFuLm5YenSpQgICMCZM2fkip6kpCRs3rwZHh4eGDlyJBITE6URp2kbIQQCAwPRr18/rF69Gl988QUWLVqEyspKfP/993BxccG0adNw+vRpNDQ0YNOmTfjggw9kWgUFBZg5cyZmz56N999/H4sWLcLBgwfh6emJvn37IiIiQvaHSZMmobCwEDt27IC3tzfmz5+P8ePHo2fPnnB3d8eBAwfQ1NSE0tJSjBs3DvPnz8eCBQswb948nDp1ClVVVfDw8MCgQYNw4MABlJeXIyAgAFOmTEFNTQ3i4+Px97//He7u7qiursaJEycwd+5ceHl54fTp0xBCIDo6Gr6+vliwYAEmTpyI8PBwSagiIyOxePFizJ49G2PGjEFwcLDVFBLVWVBQEN59911s3rwZXl5eCAgIQElJCYqLi+Hn54cvv/wSb7/9Nl555RXZB4iExsTEID09HVOnTsWUKVNw6tQpWc+zZs1CZWWl9Bj9+9//Rrdu3eTUd2BgIMaMGYMlS5bA3d0dkyZNwqVLl6zkqrUVrIaGRtvCHSM9fHTX1NQEHx8f/PWvf8W0adPwX//1X3j33XdlcK0QAmvWrMEvf/lLlJSUQAhhNW1FR1G4ubkhJiYGb775JpYtW3bDlFZjYyP+8Y9/4NFHH0V+fj6EuLax4dSpU3Hp0iXMnz8fDz74IP7yl7/gvffew3PPPYc//vGP2LRpE4QQ2LJlC3r06IHU1FRUVFTgrbfeQvfu3dHQ0IDc3Fzcf//9WLJkCYQQCAsLwwMPPICVK1fCYrEgMjISDz74IEJDQyGEwJ49e/Dwww9j/fr1AIDExERMnz4dqampSEhIwPPPP49x48YBAI4cOQIfHx8UFhaioqICzz77LJ577jmcP38egHXwdmBgIO677z4kJiYiPDwcf/jDH6RReOKJJ/DHP/4Rfn5+cHJywoMPPoh33nkHFy5cwLFjxzBw4EBkZmZi//79+NOf/oShQ4dCCIGIiAj8/Oc/x+jRo3HlyhUIIZCUlISuXbvCxcUFQgicP38er776KhwdHVFSUoK//vWvGDx4sDSERvE7RHrUKU/yji1btgx33323LPuaNWvw9NNPIyAgQHomvv/+e3Tu3BkzZ86EEAJVVVXSC7Z27Vp06tQJS5cuRWxsLLp27YoVK1bAYrHg8OHDeP/997F69WqkpaXh5ZdfxltvvYXy8nKZDhnJ6dOn41e/+hXS09PxySef4NFHH0ViYiIqKipw33334emnn0ZZWRmEEFi+fDm6du2K2NhY1NTUYPDgwRg2bBi2bt2K3//+93j88ccRFRWFSZMmoUuXLpg3b56sjx49euDo0aP48ssvcf/99+Ovf/0rhg4dihdffBH33XcffH19UVZWhtGjR+P5559HTEwMli9fjt/85jfw8/NDXV0devbsia5du6KgoABNTU343//9Xzz//POor69HSkoKHBwc0L17d+kteuedd/DEE0/gyJEjOHnyJN544w3MmTMHBw8exMiRI/Hss8+isLAQx44dw9/+9jcEBgYiMjIS999/P/7xj39Yxd8QCff398fDDz+MjIwMzJkzBw888ABmz56NrKwsPPTQQ3jyySfh4uKCwYMH41e/+hUGDBiA8+fPY82aNfDw8EBpaSlmz56NBx98ECtXrkRVVRVef/11/Pd//zeKiopgsVhw5coVdO7cGffffz8SExPR2NiIAQMG4IknnoC/vz/+53/+B6+++qo8lkaTHg0NDSPcEdJDZIdiWYQQ8PT0xKhRo5Ceno7f/e53uPfee63iHjZv3gwHBweEhIRAiOurmoS4ZqCee+45LFy4ECdPnsTTTz8NZ2dnCCGsAjSFENi0aRMefvhhrFixAkJcM+hBQUEQQiAhIQG//OUv8dJLLyEuLg4bN27Er3/9a/Tq1QunT5/G3//+d/Tv31/GIsyYMQN33303Dhw4gK+//hoODg5Yu3Yt6uvrkZSUhM6dOyMsLAxCCERGRuKee+5BSEgI6uvrERcXh4ceekjmo3///pg2bRqqqqrQ0NCA6dOn45FHHsHRo0cRERGBF198EXl5eTh9+jRGjx6N1157DRcvXoQQ11cDCSGwbt063HPPPcjLy0NxcTHuvfdeZGdnAwC6du2KF198EVevXsWxY8fQr18/3H333di7dy/mzJmDP/3pT1i2bBmKi4vRt29fvPvuuxBCID09HY899hj++Mc/Ij09HQDg4+MDBwcHeHl5QQiBEydO4Mknn4SHhwcqKirwzDPPYMKECbLtVdLDDRGPwaF2qqiogJOTE379618jIyMDZrMZV65cweuvv45nnnkGly9fhhACly5dgoODA0aPHg0hBCorK+X01JYtW3DvvffC29sbGzduxM9+9jO4urrCbDbD2dkZL7/8Mr755htYLBasWrUK999/P7KysmQcCMnm4sWLce+99yIxMRFOTk7o1KkTtm/fjqamJjg4OOCJJ55AcXExjh8/Dn9/fzz66KPYs2cP8vPz8Ytf/AL9+vXDmjVrMGHCBPTr1w/5+flISEjAI488AicnJ1gsFmRnZ2PJkiUwmUwICQnBPffcIwlAeHg4nnrqKXzwwQeIi4vDo48+ivHjx6O+vh6VlZXo3bs3nn76aRw9ehSDBw/GPffcg6ysLFRWVuKpp55C7969IYTAkSNH4ODggH/961/4+uuvkZmZiWeffRbvvPMOKioq4OLigi5duuD06dMAgISEBHTq1Amurq6YPXs2OnfujNWrVyMsLAzvvvsuevToYRVYTfU+Z84c/O53v0NCQgLmzZuHTp06wcvLC2fPnsVjjz2GPn36oLy8HKWlpXjxxRdx//33IzMzE8899xyGDh2KVatWYfHixXjjjTewYMECNDU1oV+/fujcuTO8vb3R2NiIzMxMdOrUCQ8//DCKi4thNpsxdOhQPP7440hJScFzzz2Ht99+WxJgvXpLQ0PDCD866eEBoOTJqaurQ1paGpycnDBt2jQ8+eST6NKlCxoaGuT0yI4dO+Dg4IBFixZBCGFllEwmE1544QU4OjpiwYIFePDBB+Hq6gohri+lpdiSy5cvo1+/fnB0dMTp06cRFBQkp5EOHz6MRx55BNOmTZNLYXv37o2//e1v2LVrFx544AGMHz9euvJ3796Ne+65BytXrsS3336Lhx56CBMmTEBycjJ8fX3RuXNnREREQIhrpOfee+/FV199hdLSUvj7++Ouu+5CcHAwamtr8dRTT2Hx4sVSMX/99dd45JFHsGTJEsycOROvvfYajh8/jpMnT2Lv3r1ITEyUcTo8DiUwMBBdunSBr68vJkyYgHvuuUdOUz366KMYPny4HPFGRUXBwcEB8fHxGDVqFB566CFs3rwZ33//PdLS0vD/tXfuUVFd1x9HHhVTExVBjLaNiRpsUkyi1WpVFtjlitEVktTG4tIiQUsUu5oxtvWBdUVdFSKJRYNRaAQpvhB5xKigCBlBJWhsBER5VBBBURwBBekMM3M/vz+yzs2ZERD9NWKa+8d3wdyZe+/ZZ5979vfus/c+Bw4cQFEUTp48ye9+9zu8vLx45513KC4uJioqCldXV5YsWaJ628LCwhg3bhw6nQ43Nzf+/Oc/q7rvyNNjH+Qt2tbQ0MDcuXMZPnw4FRUVNDc3AxAUFMQPfvADampqUBSFa9eu4ezsTHBwMIqiqNlJiqKQkpJC7969mTlzJm+++SbOzs6EhYVRUVFB7969CQwMVJct6+rqGDx4MJs2bVLbKfr0448/pkePHqxevRofHx9cXFwoKCjAarXSo0cPPDw82LJlC//4xz94+eWXcXNzo6SkhOjoaBwcHFi9ejV5eXmUlZVx+vRpDAYDjY2NLFq0iCFDhlBSUsKCBQvIz8/HbDazb98++vTpQ1ZWlvqszJkzB29vbz744AMef/xx1q9fr3rJ0tLS6NmzJ6mpqeh0Onr37s3y5cuJjo6mb9++hISEoCgKVVVVODg4MHr0aI4fP84nn3yCm5sboaGhmM1mhg4diouLi/qsFBcX4+bmxrhx45g8eTL9+/cnJSWFsrIyjh8/Tm5urvpSIbKoFEXh73//O3369GH16tVMnTpVJT3Xrl1j1KhRrFq1StV5UFAQDg4OxMbGMnDgQMLCwoiPjyc9PZ2srCw1fi0sLIzRo0fzzDPPUFhYyOLFi3nyySd58sknKSsrw2QyqfLMmjWLwYMHM2XKFJqamtoNpNegQYMGRXmIpEdOAz9//jx//OMfmTVrFnv37mXs2LH07t1bDR62Wq1s27YNZ2dnUlJSUBTFJqjz6tWrjBw5kvfee48dO3YwdOhQ3nrrLTVQWq6XYzab+fTTT/H09CQ4OJht27apWTGZmZn06tWL+Ph49dpvvfUWkyZN4ujRo/Tq1Yu3335bDeTNzs7Gzc1Nja9Zs2YNv//979m5cydz5szBycmJo0ePoihfe6p69uxJYmIiZWVlREZG4uLiQkZGBgaDgUGDBvH++++rBreqqopnn32W6OhoQkND8fX15fr167S0tNDQ0KCmzgvDJ+oQRUZG4unpSXx8PFFRUXh4eBAXF8fNmzdxc3NjxYoVqk5SUlJ47LHHOHnyJLNnz6Zv375cuHCB+vp6bty4QVNTE4qikJ+fT0pKCosXL+bHP/4x69ato7S0VF1WEfpNTEzkiSeeYMyYMTg6OrJ+/XoUxbbSs7i3vIwlfy+nJUdGRjJw4ECKiorUGjvz5s1j+PDhXL16FUVRqK6u5vHHH2fVqlU248JsNpOSkkKvXr1ISUlh7969uLi48Ic//IH8/Hx69OhBSEiISnqam5sZNmwYCQkJADZxUsuXL+epp54iKyuLFStW4OrqSnJyMg0NDfTo0YMxY8Zw8uRJcnJyVINbX1/P8uXLcXBwIDExkatXr3Lp0iVKSkpobm5WvTvPPPMMM2fOZOHChdTV1WG1WomNjVW9fCJdfO7cucyYMYM9e/bQq1cvVq9erfZZVlYW/fr1Izc3l2PHjrFkyRI+/PBD4uLi8PDwYO3atSjK13Fmjo6OvPbaa9TX16PX6xkwYABhYWFYLBY8PT1xdXXl8uXLajySu7s7AQEB+Pn50a9fP7Kysrh+/TqlpaVUV1fb1K4SQfxr167l2Wef5ciRI0RGRuLk5ISPjw+VlZWMGDFC9d4AvP766/zkJz8hISGBfv36ERUVRUNDA1euXOHChQsYjUYqKyuJjo4mIiKCQYMGMXPmTN59912ee+45nnrqKSorKzGZTCQmJjJgwAD69+9Pz549ee2117h+/bpGejRo0NAhHsryllxTBlA9DgsXLuTkyZN4eXnRu3dviouLUZSvjabwAImsIuHlEUHQ/fv3V7OtfHx8mDBhAk1NTeqkrCiKmspeX1/P4MGDGTFiBCUlJaqh3bZtGz/84Q+JjY3FaDRSW1vLmDFjWL9+PdXV1YwdO5YpU6Zw9uxZWltbCQoK4o033uDSpUuYzWYaGxvJy8ujpqaGd999FycnJzVwWafT4ezszJUrV7BYLGzatAkXFxeys7NpaWlh8uTJTJ8+nYqKCkwmE3/729949dVXKS8vZ+XKlXh4eLBkyRJ2797NypUrOX369F31XYxGI7Nnz2bkyJEYDAYKCgp44oknWLduHefPn6dPnz6sWrVKzfLx9/dn1qxZNDU1ERISgoODA8HBwSxbtoxly5ZRVFREU1MTiYmJFBYWkpCQgIODA5s2beL48eP06dOHuLg4rFYrhw8fZtKkSeh0OuLj43F0dCQ6OhpFUWxS/OXxIMdaiWUtUScJQK/XM3DgQHbu3Ml//vMfvvzyS/z9/Vm/fr1KhjMzM+nbty9HjhxBUb5Je7dYLKxcuRJnZ2dOnDiBXq/HxcWFwMBAamtr8fb2xtfXl/Pnz1NdXU1ERAT+/v5UVVWhKIpaJbi6upoXXniB8ePHc/78eTZv3oyTkxMxMTEUFBTg4OBAQEAAFouFhoYG3nzzTYYNG0ZTUxPR0dE4OzszadIkQkNDCQoKIiYmRiVU165dY/r06Xh4eJCTk6PGNi1dupT+/fuTmZlJTU0NGRkZ6tLWhQsX+NGPfoS/vz91dXWUlJQQGhrK/PnzaWxsxGg0cuXKFRoaGsjLy8PNzY2oqCja2tr461//iqOjIwsWLEBRFI4dO0afPn3UODRvb2+cnJzYtm0bFy9eZM2aNYwcOZLPP/9cHR/Tpk1j4cKFBAUFkZ2dbVOuQcgVEBDA2LFjqaqqYvv27Tg6OvKLX/yCEydO4OrqyqpVqygoKCA5OZnx48ezYcMGzp07x4ABA3jhhRdYs2YNISEhLFq0iOvXr5OVlUVERARFRUV4e3vj6empvnAMGDCAGzduoNfr8fHx4Ze//CWLFi3C1dWVwMBAlYhp2VsaNGhoD98a6ZHftuRCgIqikJeXx0svvYS3tzdBQUEMGzaMvn37smrVKjU1OCAggN/+9rc2tTnENcvLyxk0aBCpqakUFRXh6+tLYGAgN27csKmi29zcrBIfnU7HO++8g9VqVT0aBw8epF+/fsyYMYOysjI1C+X8+fMYjUYOHjzIq6++ik6n46uvvmLKlCkcOHBATQkXxMNsNhMREcHQoUPJyMjAarUyb948vLy8qKmpwWQyERMTw09/+lP0ej1tbW2kp6fz61//moiICAoLC3njjTdISUnBaDRy4sQJJk+ejKenJxMmTMDPz4+8vDzVSIplrpaWFubOncu4ceP44osviIiI4MUXXyQ/P5/S0lKcnZ3x8fHBYDCwYcMGJk+erKa3Z2Zm4uPjw9NPP82LL77Ir371K6qrq6mqqmLJkiXk5+dz5swZ/Pz8OHv2LFu2bMHb25vMzExaW1sJDQ1l6tSpVFdXo9frGTVqFHv37rWp5WL/pi3X55HrvgjdNjQ0sGDBAgICAigqKmLDhg0sXbqUmpoalUD/5S9/4Wc/+5kagCwCagF0Oh0jRoxQA7eff/55PvroI9WbMmrUKP70pz8RFxfHyy+/TFpamtqnt2/fBuDUqVOMHj2awMBAwsPDef3113nppZc4deoUKSkpuLu7M2fOHNra2vj3v//NtGnTeOWVV7h06RIXL15k6tSpDBo0iOeeew5fX1/0ej0Wi0UtdxAaGkpAQIBaXsFoNBIQEMBjjz3GvHnziI+PJygoCJ1OR0tLC7du3WLt2rX8/Oc/V7PlXnnlFU6fPo2iKOoYVxSFjz76iOeff56YmBhu375NUFAQY8eOZfXq1SjK18H2Q4YM4cMPP8RsNrNjxw7GjRtHYGAge/fuVT2hIrNPjA8vLy+Cg4OpqKhQExJEYsHNmzeZNWsWEyZMYPv27cydO5eJEyeyZ88edYl6+vTpLFu2jDlz5vD++++rLydvv/02Xl5eDB8+nKFDh7J06VKamppITk5WyfrChQt57733KCwsZPz48fj6+nLx4kViY2MZO3Ysu3btIjc3lxEjRrBixQqbQqSap0eDBg32eCikR6TA3rp1C7PZTENDA3v27GH27NmsW7eOLVu2sHjxYpKSklAUhbKyMkaPHq1mOolYIDG5Nzc3Ex4eTm5uLkVFRezcuZOCggI19kYutCZiJHbv3q0Sllu3bmEymbh06RKenp6MGzeO/Px8YmNjSU9PV70PZrOZQ4cO8cEHH1BQUMCBAwdUGeTqv0ajkS+++IKtW7fy1VdfYbFYSEpKIjY2Vk2hLS0tJTExkStXrqh7ih09epS4uDj0er16X0FocnNz0el06HQ6PvvsM27evGlTWE/U2dHr9URFRVFSUkJaWhrp6emYTCYaGxtxcnJi4sSJtLS0sGvXLo4cOWJTZDA7O5vw8HC2bt3KoUOHMJlMGAwGdu/eTWFhIa2trXz++ec0NjZSUFDAvn371K0g0tLS1JiUf/3rX+zfv1/1gLW3vGAfxCzaId7GhXeopKSEyMhICgoKOHbsGOfOnbOp0+Pr68u6detUGWTPQ05ODomJiWRkZJCQkEBycrLaJoPBQExMDOHh4Rw6dIj9+/erREQE5VosFmpqati/fz+5ubkkJyezceNG0tPTaWpqoqCggGXLlpGUlITVaqW+vp7k5GTS0tIwGAyYTCb0ej3h4eFs376dnJwcte1iXK5Zs4bk5GSbQn7z5s3D3d2d+Ph40tLS2Llzp5qubjabuXbtGvHx8SQkJLBjxw4+/fRTtb3ynnXCm1JcXKzGzR08eJAzZ85gsVgoLy9n06ZNZGVlqR7RjIwMkpKS+PLLL8nNzVVLRDQ3N5OTk8PmzZvVJVoRSybGX1NTEy0tLRw+fJhdu3Zx9OhRkpKSyMrKorW1lV27duHi4kJYWBipqamkpaWpS3omk4mioiLi4uJYvnw5W7dupba2FqPRSFlZGXq9HpPJRHFxMVevXqWmpobDhw+TnZ1NfX09586d4+DBg7S0tFBRUUF8fDynTp3qsE6UBg0aNCjKQyxOKAoGCgN1584dSktL1Zoyly9fVgvebdy4ET8/P3WilcvsC8NpMBgwGo02xQXlQFnxdv3JJ5+wY8cOwsPDqa6uVtPaTSYTtbW1PP3008yYMYO6ujqqqqruKq0v7tXY2GhjqMW9hFEThkKcf/PmTTWTRLRHkDdxjtls5tatW1y7ds1mKVD02eXLl6mpqVF/K4ygCApVFEUlOOLtW8QyWa1W3N3d+c1vfoOiKGpRRPvKyQ0NDWofiiWk27dvq0GqcpVfezIjCIN9RVy5j+zHg5yhZ683cW1RaE8+brVauX79OvPnz6e8vNyG1CrKN/uCye2VzxeeMVHcz77CtOhTew+UvLVDS0uL6rkT8ovMPqELUdNIkFej0ciNGzfYt28fGzduZMmSJVRWVqptMhqNBAcH4+7uzsWLF20247SvdlxbW3vX9iFivMhFHuVCnHK2lcViUeveyONQ6E30idCPeB7lNgjCIz+XMgGVx8k///lPXFxcSElJsSmqKe4tyH9dXZ1a0FB4g+XnXehT9uLKwfA3b95UvcnyGNRIjwYNGuzx0Or0iAnIflKSSUpbWxsGg4HIyEj27NljU4HZ/nrCoMrB0vI6vslkoq6ujokTJzJ16lTi4+Nt9iFqa2sjNTWV/v37M3HiRNXYtWe4ZRm6cqwj2WWDLxsZ+b7ierI87REPe+Ilx/kIAzNy5EimTZuG1Wq7BYBcFdueSNm33d5zI2Rpr43ydx2Rns76TPRRe32iKAqVlZWcOXNGJWeyB0juO/sx1VG/yefIOrHvC2Fo2xvXHbVfBOWbzV9X1fb398fPz4+4uDjVwyTIwvz58/H29iY/P99mnMj9bv9Xrndk31cyeZEJj30fyORJ3NNe9x39L/QqjyH7LUtSU1MZMmQIO3bssFmWFc+a0KOsE5mk2pMyQXpkUiiPX7mN9uNPgwYNGhTlIZKe9oiAMM5ichOu+srKSnULgc7O7+y42H4gMjKSmJgY6uvr1Td58bb62WefERISQlhYmA0hau+aXSE3XTmnvb5pzztyP/cVcsmGobW1lbVr17J582as1m+8W50ZCvm+9yPrvYhAezK3d7yj+4vPIgtKJjfyJpX36u+u9GdHbbVvS2c6EsdEhfDGxkY+/vhjEhMTMRgMNt4ai8VCamoqsbGx1NbWqjr8b+uhq31gL39X+lQck/fRUhSF8vJy1q1bx9mzZ1EUxWY/MHkM2pPPBxlLHT1D3T3BatCg4dHCt0Z6FEW5axKT/5cnTHl5QF6ikPdEupdhau+6iqJgMBhUQiNPumJvILEPl9lstqnx0dG9ZNk6OibLfq9+6Oz79u7TnryyB0kEblssFurq6tSKyuJ3ItCzI+/RvdrZmfHpzOB05Rrt9ZsM2RNgsXyzVCd+2xU57tXn9zr3Xm2X2yGXYLDfIkVRviEBt27dstnXqjO9dNSee8l6L111tW/sj8meOLHEJOvq6tWrNhvYyud0tU33+31HY1CDBg0avlXS0xnE5CcMsewiF2/vHWUB3eu6Vqv1ruWq5ubmu+I3xK7o4hx536hHfcKUJ3fZoMgBsuLN2z7+w97D86jHPsg6lbP4OvOmdWdb5SVKMeYEIZCrkrcXzN3RNh6PImQyKuQV7RbPn5BFJkTimL1Xtbvl0aBBw/8+uo30yF4e8dYuJkrZSNzvhCh+LxetkwmU+CxSneUYDlHZ91EnAXL/ibbLQauK8rUXQd4x3mg0cufOHQA1Vkq+TnfL0xWdyuNBGE37mKPulkU24qLfhcdHeOHsvVNivNmPwe6WpauyCvKiKMpdsTjir0z0OopV6m55NGjQ8L+Pbic9YhKUg5ZNJpOaxfIgpEcYkaamJhsSJN9LnozFxG2/rNDdyulK/8nBqwL2JNLeoybiqL5rssqyyPFJ9qSoO9sqt0UQb/H5zp076tKj+K29t0Mmcd0tS1dkFbLIgdWC4IiXGqFD8TtxTBx/FPSmQYOG7we6dXlLNtr2QY72qcf3e105JkhMvvZpzcLt3p4n4VGfhO3bKZNG+2VCWUZZ/gfp3+6APcFrb2nkUSEKcnvk5Vk5cFnOppKzuAQB/y6NQUFm5CQAebwJr5Y83gQRFLrVSI8GDRoeFrqd9Ni7yNur4fKgpEd8Fn9lQyS747+rpMde3vaWC2QjI3vWvmseBXu92Mv/qOitvfbY93N7umovZby7Zbkfee3LF9jLLpObRy0OS4MGoRzYiAAAAMJJREFUDd8fPDKkx96gPeikeD/XvBe6Wzn3krOrcnXld90tz39L1u6W5UHGW2fjt7v7vivydiTzd0VnGjRo+P6g20iPotxfCu6DXNP+eHvX7IwkdLdy/j992N7xzvq6u+V4EJ3a6/ZRkqWzcXyv8f4oyfGgcnYkc2f/a9CgQcO3jW4lPRo0aNCgQYMGDQ8LGunRoEGDBg0aNHwvoJEeDRo0aNCgQcP3Ahrp0aBBgwYNGjR8L6CRHg0aNGjQoEHD9wL/BwmppelE/QUEAAAAAElFTkSuQmCC
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
ОБЩАЯ ХАРАКТЕРИСТИКА РАБОТЫ
Реферируемая диссертация посвящена лингвокогнитивному анализу естественной письменной речи предпринимателей с точки зрения отражения в нейуниверсальных характеристик и национально-культурных особенностей соответствующей профессиональной языковой личности.
''Актуальность'' исследования определяется необходимостью системного лингвистического изучения феномена профессиональной языковой личности, значимостью для современной лингвистики проблем индивидуальной и групповой концептуализации и категоризации мира, объективации в языке профессиональных знаний, мнений и оценок, недостаточной изученностью особенностей речемыслительной деятельности представителей отдельных социально-профессиональных общностей.
Сфера повседневности, привлекающаяв настоящее время пристальное внимание ученых в разных областях знания(Е.В. Золотухина-Аболина, А.Б.Каменский, И.Т.Касавин, А.В. Колмогорова, Т.Г. Струкова, В.Н. Сыров, С.П. Щавелеви др.), позволяет лингвистам проследить стереотипные способы языкового конструирования реальности, в том числе в рамках профессиональной среды, проанализировать воплощенную в вербальных формах каждодневную практическую деятельность сознания.
''Объект диссертационного исследования ''– разножанровые тексты естественной письменной речипредпринимателей, отражающие их обиходно-деловую коммуникацию.
''Предметом исследования'' выступают универсальные и национально-культурные характеристики профессиональной языковой личности предпринимателя, объективированные в естественной письменной речи.
''Цель диссертационного исследования'' –выявлениеособенностей реализации профессиональной языковой личности в текстах естественной письменной речи предпринимателей.
Для достижения поставленной цели в работе выдвинуты следующие задачи:
1)рассмотреть современные научные подходы к изучению языковой личности и профессиональной языковой личности;
2)проанализировать содержание понятия «естественная письменная речь», установить его своеобразие и эвристический потенциал применительно к сфере профессиональной коммуникации;
3)произвести жанровую классификацию текстов естественной письменной речи предпринимателей, определить специфику жанров;
4)охарактеризовать профессиональную языковую личность предпринимателя, выявив ее универсальные и национально-культурные черты;
5)установить основные способы и средства реализациипрофессиональной языковой личности в текстах естественной письменной речи предпринимателей.
Методологическую базу исследования составили ключевые концепции современного языкознания: когнитивная теория языка(Н.Н. Болдырев,В.З.
Демьянков, А.В. Кравченко, Е.С. Кубрякова и др.), базовые положения когнитивного терминоведения (Е.И. Голованова, C.B. Гринев, З.И. Комарова, В.М. Лейчик, В.Ф. Новодранова и др.), социолингвистики (М.В. Китайгородская, Л.П. Крысин, Б.А. Ларин и др.) и лингвокультурологии (В.И. Карасик, В.В. Красных, Г.Г. Слышкин, Ю.С. Степанов). Частнонаучную основу исследования представляют концепции языковой личности (Г.И. Богин, Ю.Н. Караулов, В.П. Тимофеев и др.), профессиональной языковой личности (Е.И. Голованова, С.Л. Мишланова, М.И. Солнышкина и др.) и естественной письменной речи (Н.Б. Лебедева, Н.Ю. Плаксина, Е.Г. Зьфянова и др.).
Наряду с общенаучными методами наблюдения, анализа, синтеза, обобщения, систематизации в исследовании применены специальные лингвистические методы и приемы:
метод лингвистического списания - для разноуровневой характеристики естественной письменной речи предпринимателей, в том числе гендерных особенностей;
концептуальный анализ языковых единиц - для исследования содержательной стороны используемых предпринимателями лексических средств;
прием социально-речевого портретирования - для выявления общих и индивидуальных черт в естественной письменной речи представителей бизнес-сообщества и моделирования на этой основе профессиональной языковой личности предпринимателя;
культурно-речевой анализ естественной .письменной речи - для определения степени соответствия речевых произведений, спонтанно созданных предпринимателями в профессиональном общении, языковым нормам.
''Материалом для исследования'' послужили письменные обиходно-деловые тексты представителей малого и среднего бизнеса (шести женщин и шести мужчин в возрасте от 28 до 55 лет, работающих в городах Южного Урала). Тексты принадлежат разным жанрам, различаются по объему и содержанию: бизнес-дневники; перечни дел, составленные для себя или адресованные подчиненным; планы на день; записки для секретарей; вопросы к докладчикам; наброски замечаний или предложений по работе фирмы, подготовленные к утренним совещаниям (пятименуткам) или совещаниям по итогам выполнения проектов; записи по ходу плановых еженедельных или ежемесячных итоговых совещаний. В целом проанализировано около 1500 страниц записей (12 бизнес-дневников, 111 частных записок, 20 планов на день, 16 спонтанно-рефлекторных записей), хронологически ограниченных периодом 2001-2013 гг.
Для выявления типовых характеристик естественной письменной речи в профессиональной среде в качестве дополнительного источника привлекались тексты естественной письменной речи медицинских работников, рабочих производственной сферы, научно-педагогических работников и IT-специалистов (всего 39 текстов).
4
Несмотря на широкую представленность естественной письменной речи в вербальном взаимодействии людей, она сохраняет статус относительно нового лингвистического объекта. К настоящему времени выявлены отличия естественной письменной речи как типа коммуникации от искусственной устной и письменной речи, от естественной устной речи [Лебедева 2001–2011], проанализированы некоторые ее жанры [Лебедева, Тюкаева 2007;Зырянова 2006;Сологуб 2003и др.], однако с позиций отражения особенностей языкового сознания представителей отдельной социально-профессиональной группы естественная письменная речь не изучалась.
''Научная новизна'' исследования заключается в следующем:
- впервые осуществлен многоаспектный анализ естественной письменной речи, функционирующей в профессиональной среде;
- на новом языковом материале рассмотрено влияние профессионального статуса человека на порождаемые им тексты;
- впервые выявлены универсальные и национально-культурные характеристики профессиональной языковой личности предпринимателя;
- в научный оборот введены труднодоступные для лингвистов обиходно-деловые письменные тексты представителей бизнес-сообщества.
''Теоретическая значимость'' исследования определяется его интегративным характером –сочетанием лингвокогнитивного и социолингвистического подходов к языковому материалу с решением задач с позиций лингвокультурологии и лингвистики текста. Данный подход способствует формированию более глубоких представлений о профессиональной языковой личности предпринимателя.В работе проанализирован жанровый состав текстов естественной письменной речи, выявлены и обоснованы закономерности организации и языковой репрезентации знаний и индивидуальных личностных смыслов, рассмотрена национально-культурная специфика профессиональной языковой личности предпринимателя, установлены наиболее значимые концепты и охарактеризованы социокультурные факторы речевого поведения предпринимателей.
''Практическая значимость'' исследования состоит в возможности использования его основных положений, материалов и выводов в вузовском преподавании курсов теории языка, стилистики, социолингвистики и лингвокультурологии, спецкурсов по когнитивной лингвистике, теории профессиональной коммуникации, лингвоперсонологии. Результаты работы могут найти разнообразное применение в переводческой и лексикографической практике, а также при подготовке специалистов по кадровой политике и персоналу.
''На защиту выносятся следующие положения'':
1.Естественная письменная речь выступает уникальным источником изучения профессиональной языковой личности. В ней в вербализованном виде предстает текущая деятельность специалиста, его оперативное реагирование на меняющуюся ситуацию, зафиксированы речемыслительные процессы, связанные с повседневным планированием и подведением итогов работы.
2.Жанровое многообразие естественной письменной речи предпринимателей обусловлено сочетанием в их деятельности творческой, управленческой и производственной активности. Из множества вербальных реакций, представленных в бизнес-дневниках и других жанрах обиходно-деловой письменности, возникает адекватный профессиональный образ предпринимателя.
3.Для языковой личности предпринимателей, по данным исследуемых текстов, типично использование Я-высказываний, внимание к деятельностной стороне событий,предпочтение конкретной лексики абстрактной, отсутствие ярко выраженной рефлексии.
4.Профессиональная концептосфера предпринимателя тесно контактирует с групповыми личностными смыслами, что выражается в наличии биконцептуальных единств, выступающих ключевыми при характеристике данной языковой личности(ДЕНЬГИ –ВРЕМЯ; СЛОВО –РЕПУТАЦИЯ; КОМАНДА –ИГРА).
5.Обладая универсальными чертами, профессиональная языковая личность предпринимателя отличается рядом национально-культурных особенностей. Наиболее информативными для их выделения являются зафиксированные в текстах естественной письменной речипрецедентные феномены (имена,высказывания, тексты),а также субстандартные единицы (профессионально-просторечная и жаргонная лексика и фразеология).
''Апробация работы.'' Теоретические положения и результаты исследования были представленыв виде докладов и сообщений на международных научных конференциях: «Социальные варианты языка» (Нижний Новгород, 2011),«Языки профессиональной коммуникации» (Челябинск, 2011), Пятые и Шестые Лазаревские чтения (Челябинск, 2011; 2013), «Язык. Культура. Коммуникация» (Челябинск, 2011; 2012), на научной конференции молодых ученых «Слово в традиционной и современной культуре» (Екатеринбург, 2011),всероссийской научно-практической конференции «XIX Уральские Бирюковские чтения: Культура и образование в регионах: история и современность» (Челябинск, 2010), обсуждались на заседаниях межвузовского теоретического семинара Челябинского регионального отделения Российской ассоциации лингвистов-когнитологов (2010–2012гг.)и кафедры теории языка Челябинского государственного университета (2013 г.).
По теме исследования опубликовано 14 научных работ, в том числе четыре статьи в рецензируемых журналах, включенных в перечень ВАК.
''Структура диссертации.'' Работа состоит из введения, трех глав, заключения, списка использованной литературы и приложений.
''ОСНОВНОЕ СОДЕРЖАНИЕ РАБОТЫ''
Во введении обосновывается актуальность темы исследования, определяются объект и предмет изучения, формулируются цель и задачи, указывается методологическая база исследования, раскрывается его научная
новизна, теоретическая и практическая значимость, характеризуется структура работы.В первой главе«Теоретические основы изучения профессиональной языковой личности»содержится анализ современных научных подходов к интерпретации понятий «языковая личность» и «профессиональная языковая личность», излагаютсяосновные положения концепций языковой личности в отечественном языкознании, рассматриваютсяособенности исследования профессиональной языковой личности с когнитивных позиций.В работе утверждается, что приблизиться к пониманию человеческой личности можно черезанализ текстов, посредством которых осуществляется ее взаимодействие с другими представителями общества. Именно в процессе продуцирования и восприятия речи индивид проявляет себя как языковая личность.Родоначальником размышлений о языковой личности принято считать И.А. Бодуэна де Куртенэ. На сегодняшний день в лингвистике сложилось несколько подходов к изучению феномена языковой личности: когнитивный (Ю.Н. Караулов 1987, В.В. Красных 1998, А.М. Шахнарович 1995,Е.И. Голованова 2008, 2009, 2010, 2011), коммуникативно-деятельностный (С.А. Сухих 1993,К.Ф. Седов 1998, В.И. Шаховский 1998), лингвокультурологический (В.В. Воробьев 1996, 1998, Д.И. Терехова 1997, Е.В. Филиппова 1998 и др.), деятельностно-психологический (А.А. Леонтьев), онтогенетический (В.Е. Гольдин 1991,Р.Д. Кузнецова 1994,Н.С. Бондарчук 1997, К.Ф. Седов 1998, О.Б. Сиротинина 1997 и др.).Многообразием подходов к понятию «языковая личность» объясняется отсутствие единого определения данного термина.Общетеоретические основы изучения языковой личности сформированы, главным образом, в работахтрехлингвистов –В.П. Тимофеева, Г.И. Богина и Ю.Н. Караулова. Концепция Г.И. Богина способствует представлению об этапах формирования языковой личности, концепция Ю.Н. Караулова позволяет выявить структуру и охарактеризовать уровни языковой личности, концепция В.П. Тимофеева дает возможность проследить влияние социализации (в том числе профессиональной) на формирование языковой личности. Впроцессесвоего становления языковая личность проходит путь от овладения минимальным набором знаний, передаваемых из поколения в поколение (базовым набором слов, клишированных оборотов, необходимых для номинации), к усложнению структуры личности, осмыслению окружающей действительности, расширению картины мира, складыванию иерархии ценностей, репрезентируемых в базовых концептах, и формированию на основе пережитого опыта индивидуального знания. Языковая личность может быть коллективной и индивидуальной, при этому индивидуальной языковой личности проявляются черты, характерные для коллективной языковой личности.Человек в процессе жизни взаимодействует с представителями различных социальных групп, приобретает характерные для них знания, формирует собственные представления, поэтому
---
новизна, теоретическая и практическая значимость, характеризуется структура работы. В первой главе <Л'еоретические основы изучения профессиональной языковой личности» содержится анализ современных научшлс подходов к шггерпретации понятий «языковая личность» и «профессиональная языковая личность», излагаются основные положения концепций языковой личности в отечественном языкознании, рассматриваются особенности исследования профессиональной языковой личности с когнитивных позиций. В работе утверждается, что приблизиться к пониманию человеческой личности можно через анализ текстов, посредством которых осуществляется ее взаилюдействие с другими представителями общества. Именно в процессе продуцирования и восприятия речи ивдиввд проявляет себя как языковая личность. Родоначальником размышлений о языковой личности принято считать И.А. Бодуэна де Кургенэ. На сегодняшний день в лингвистике сложилось несколько подходов к изучению феномена язьпсовой личности: когнитивный (Ю.К Караулов 1987, В.В. Красных 1998, А.М. Шахнарович 1995, Е.И. Голованова 2008, 2009, 2010, 2011), коммуникативно-деятельностный (С.А. Сухих 1993, К.Ф. Седов 1998, В.И. Шаховский 1998), лингю1д^льтурологический (В.В. Воробьев 1996, 1998, Д.И. Терехова 1997, Е.В. Филиппова 1998 и др.), деягельностно-психологический (A.A. Л^юнтьев), онтогенетический (В.Е. Гольдин 1991, Р.Д. Кузнецова 1994, НС. Бондарчук 1997, К.Ф. Седов 1998, О.Б. Сиротипина 1997 и др.). Многообразием подходов к понятшо «языковая личность» объясняется отсутствие единого определения дашюго термина. Общетеоретические основы изучения языковой личности сформированы, главным образом, в работах трех лшнгвистов - В.П. Тимофеева, Г.И Богана и Ю.Н. Караулова. Концешщя Г.И. Богина способствует представлению об этапах формирования языкоюй личности, концепция Ю.Н. Караулова позволяет выявить структуру и охарактеризовать уров1ш языковой личности, концепция В.П. Тимофеева дает возможность проследить влияние сощгализащш (в том числе профессиональной) на форшфование языкоюй личности. В процессе своего становления языковая личность проходит путь от овладения минимальным набором знаний, передаваемых из поколения в поколение (базовым набором слов, юишшрованных оборотов, необходимых для номинации), к усложнению структуры личности, осмыслению окружающей действительности, расширению картины мира, складыванию иерархии ценностей, репрезеетируемых в базовых концептах, и формированию на основе пережитого опьяа индивидуального знатм. Языковая личность может быть коллективной и индгоидуальной, при этом у индивидуальной языковой личности проявляются черты, характерные для коллективной языковой личности. Человек в процессе жизни взаимодействует с представителями различных социальных групп, приобретает характерные для них знания, формирует собственные представления, поэтому